diff --git a/.eslintrc.js b/.eslintrc.js new file mode 100644 index 000000000..60f0e7a35 --- /dev/null +++ b/.eslintrc.js @@ -0,0 +1,10 @@ +module.exports = { + parser: '@typescript-eslint/parser', + plugins: ['@typescript-eslint', 'unused-imports', 'prettier'], + rules: { + 'no-unused-vars': 'off', + 'prettier/prettier': 'error', + 'unused-imports/no-unused-imports': 'error', + }, + root: true, +}; diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml index 5aaecc4ea..72fedbf5a 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.yml +++ b/.github/ISSUE_TEMPLATE/bug_report.yml @@ -1,6 +1,6 @@ name: Bug report description: Create a report to help us improve -labels: ["bug"] +labels: ['bug'] body: - type: markdown attributes: @@ -53,4 +53,4 @@ body: label: Library version placeholder: openai v3.0.1 validations: - required: true \ No newline at end of file + required: true diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml index 9b58e06f0..6f6c3bfdb 100644 --- a/.github/ISSUE_TEMPLATE/config.yml +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -4,4 +4,4 @@ contact_links: url: https://help.openai.com/ about: | Please only file issues here that you believe represent actual bugs or feature requests for the OpenAI Node library. - If you're having general trouble with the OpenAI API, please visit our help center to get support. \ No newline at end of file + If you're having general trouble with the OpenAI API, please visit our help center to get support. diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml index c61321f7b..1be579964 100644 --- a/.github/ISSUE_TEMPLATE/feature_request.yml +++ b/.github/ISSUE_TEMPLATE/feature_request.yml @@ -1,6 +1,6 @@ name: Feature request description: Suggest an idea for this library -labels: ["feature-request"] +labels: ['feature-request'] body: - type: markdown attributes: @@ -17,4 +17,4 @@ body: id: context attributes: label: Additional context - description: Add any other context about the feature request here. \ No newline at end of file + description: Add any other context about the feature request here. diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 8b1851595..ceaf21b5d 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -2,24 +2,23 @@ name: Node.js CI on: push: - branches: [ master ] + branches: [master] pull_request: - branches: [ master ] + branches: [master] jobs: build: - runs-on: ubuntu-latest strategy: matrix: node-version: [16.x, 18.x] steps: - - uses: actions/checkout@v3 - - name: Use Node.js ${{ matrix.node-version }} - uses: actions/setup-node@v3 - with: - node-version: ${{ matrix.node-version }} - cache: 'npm' - - run: npm ci - - run: npm run build + - uses: actions/checkout@v3 + - name: Use Node.js ${{ matrix.node-version }} + uses: actions/setup-node@v3 + with: + node-version: ${{ matrix.node-version }} + cache: 'npm' + - run: npm ci + - run: npm run build diff --git a/.gitignore b/.gitignore index 07e6e472c..314b24627 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,6 @@ -/node_modules +node_modules +yarn-error.log +codegen.log +dist +/deno +/*.tgz diff --git a/.npmignore b/.npmignore deleted file mode 100644 index 999d88df6..000000000 --- a/.npmignore +++ /dev/null @@ -1 +0,0 @@ -# empty npmignore to ensure all required files (e.g., in the dist folder) are published by npm \ No newline at end of file diff --git a/.openapi-generator-ignore b/.openapi-generator-ignore deleted file mode 100644 index ce0eef51f..000000000 --- a/.openapi-generator-ignore +++ /dev/null @@ -1,5 +0,0 @@ -.gitignore -README.md -git_push.sh -package.json -package-lock.json \ No newline at end of file diff --git a/.openapi-generator/FILES b/.openapi-generator/FILES deleted file mode 100644 index daef44100..000000000 --- a/.openapi-generator/FILES +++ /dev/null @@ -1,6 +0,0 @@ -.npmignore -api.ts -base.ts -common.ts -configuration.ts -index.ts diff --git a/.openapi-generator/VERSION b/.openapi-generator/VERSION deleted file mode 100644 index cd802a1ec..000000000 --- a/.openapi-generator/VERSION +++ /dev/null @@ -1 +0,0 @@ -6.6.0 \ No newline at end of file diff --git a/.prettierignore b/.prettierignore new file mode 100644 index 000000000..804a75c60 --- /dev/null +++ b/.prettierignore @@ -0,0 +1,4 @@ +CHANGELOG.md +/ecosystem-tests +/node_modules +/deno diff --git a/.prettierrc b/.prettierrc new file mode 100644 index 000000000..6f72f437c --- /dev/null +++ b/.prettierrc @@ -0,0 +1,6 @@ +{ + "arrowParens": "always", + "trailingComma": "all", + "singleQuote": true, + "printWidth": 110 +} diff --git a/.stats.yml b/.stats.yml new file mode 100644 index 000000000..c125dfb22 --- /dev/null +++ b/.stats.yml @@ -0,0 +1 @@ +configured_endpoints: 23 diff --git a/LICENSE b/LICENSE index 4f14854c3..7b1b36a64 100644 --- a/LICENSE +++ b/LICENSE @@ -1,21 +1,201 @@ -The MIT License - 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2023 OpenAI + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md index 765d73647..1c139cab7 100644 --- a/README.md +++ b/README.md @@ -1,89 +1,278 @@ -# OpenAI Node.js Library +# OpenAI Node API Library -The OpenAI Node.js library provides convenient access to the OpenAI API from Node.js applications. Most of the code in this library is generated from our [OpenAPI specification](https://github.com/openai/openai-openapi). +[![NPM version](https://img.shields.io/npm/v/openai.svg)](https://npmjs.org/package/openai) -> ⚠️ **Important note: this library is meant for server-side usage only, as using it in client-side browser code will expose your secret API key. [See here](https://platform.openai.com/docs/api-reference/authentication) for more details.** +This library provides convenient access to the OpenAI REST API from TypeScript or JavaScript. + +It is generated from our [OpenAPI specification](https://github.com/openai/openai-openapi) with [Stainless](https://stainlessapi.com/). + +To learn how to use the OpenAI API, check out our [API Reference](https://platform.openai.com/docs/api-reference) and [Documentation](https://platform.openai.com/docs). ## Installation -```bash -npm install openai +```sh +npm install --save openai +# or +yarn add openai ``` ## Usage -The library needs to be configured with your account's secret key, which is available in your [OpenAI account page](https://platform.openai.com/account/api-keys). We recommend setting it as an environment variable. Here's an example of initializing the library with the API key loaded from an environment variable and creating a completion: +> [!IMPORTANT] +> Previous versions of this SDK used a `Configuration` class. See the [v3 to v4 migration guide](https://github.com/openai/openai-node/discussions/217). -```javascript -const { Configuration, OpenAIApi } = require("openai"); +```js +import OpenAI from 'openai'; -const configuration = new Configuration({ - apiKey: process.env.OPENAI_API_KEY, +const openai = new OpenAI({ + apiKey: 'my api key', // defaults to process.env["OPENAI_API_KEY"] }); -const openai = new OpenAIApi(configuration); -const chatCompletion = await openai.createChatCompletion({ - model: "gpt-3.5-turbo", - messages: [{role: "user", content: "Hello world"}], -}); -console.log(chatCompletion.data.choices[0].message); +async function main() { + const completion = await openai.chat.completions.create({ + messages: [{ role: 'user', content: 'Say this is a test' }], + model: 'gpt-3.5-turbo', + }); + + console.log(completion.choices); +} + +main(); ``` -Check out the [full API documentation](https://platform.openai.com/docs/api-reference?lang=node.js) for examples of all the available functions. +## Streaming Responses + +We provide support for streaming responses using Server Side Events (SSE). -### Request options +```ts +import OpenAI from 'openai'; -All of the available API request functions additionally contain an optional final parameter where you can pass custom [axios request options](https://axios-http.com/docs/req_config), for example: +const openai = new OpenAI(); -```javascript -const completion = await openai.createCompletion( - { - model: "text-davinci-003", - prompt: "Hello world", - }, - { - timeout: 1000, - headers: { - "Example-Header": "example", - }, +async function main() { + const stream = await openai.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + for await (const part of stream) { + process.stdout.write(part.choices[0]?.delta?.content || ''); } -); +} + +main(); ``` -### Error handling +If you need to cancel a stream, you can `break` from the loop +or call `stream.controller.abort()`. -API requests can potentially return errors due to invalid inputs or other issues. These errors can be handled with a `try...catch` statement, and the error details can be found in either `error.response` or `error.message`: +### Request & Response types -```javascript -try { - const completion = await openai.createCompletion({ - model: "text-davinci-003", - prompt: "Hello world", - }); - console.log(completion.data.choices[0].text); -} catch (error) { - if (error.response) { - console.log(error.response.status); - console.log(error.response.data); - } else { - console.log(error.message); - } +This library includes TypeScript definitions for all request params and response fields. You may import and use them like so: + +```ts +import OpenAI from 'openai'; + +const openai = new OpenAI({ + apiKey: 'my api key', // defaults to process.env["OPENAI_API_KEY"] +}); + +async function main() { + const params: OpenAI.Chat.CompletionCreateParams = { + messages: [{ role: 'user', content: 'Say this is a test' }], + model: 'gpt-3.5-turbo', + }; + const completion: OpenAI.Chat.ChatCompletion = await openai.chat.completions.create(params); +} + +main(); +``` + +Documentation for each method, request param, and response field are available in docstrings and will appear on hover in most modern editors. + +## File Uploads + +Request parameters that correspond to file uploads can be passed in many different forms: + +- `File` (or an object with the same structure) +- a `fetch` `Response` (or an object with the same structure) +- an `fs.ReadStream` +- the return value of our `toFile` helper + +```ts +import fs from 'fs'; +import fetch from 'node-fetch'; +import OpenAI, { toFile } from 'openai'; + +const openai = new OpenAI(); + +// If you have access to Node `fs` we recommend using `fs.createReadStream()`: +await openai.files.create({ file: fs.createReadStream('input.jsonl'), purpose: 'fine-tune' }); + +// Or if you have the web `File` API you can pass a `File` instance: +await openai.files.create({ file: new File(['my bytes'], 'input.jsonl'), purpose: 'fine-tune' }); + +// You can also pass a `fetch` `Response`: +await openai.files.create({ file: await fetch('https://somesite/input.jsonl'), purpose: 'fine-tune' }); + +// Finally, if none of the above are convenient, you can use our `toFile` helper: +await openai.files.create({ + file: await toFile(Buffer.from('my bytes'), 'input.jsonl'), + purpose: 'fine-tune', +}); +await openai.files.create({ + file: await toFile(new Uint8Array([0, 1, 2]), 'input.jsonl'), + purpose: 'fine-tune', +}); +``` + +## Handling errors + +When the library is unable to connect to the API, +or if the API returns a non-success status code (i.e., 4xx or 5xx response), +a subclass of `APIError` will be thrown: + +```ts +async function main() { + const fineTune = await openai.fineTunes + .create({ training_file: 'file-XGinujblHPwGLSztz8cPS8XY' }) + .catch((err) => { + if (err instanceof OpenAI.APIError) { + console.log(err.status); // 400 + console.log(err.name); // BadRequestError + + console.log(err.headers); // {server: 'nginx', ...} + } else { + throw err; + } + }); } + +main(); ``` -### Streaming completions +Error codes are as followed: + +| Status Code | Error Type | +| ----------- | -------------------------- | +| 400 | `BadRequestError` | +| 401 | `AuthenticationError` | +| 403 | `PermissionDeniedError` | +| 404 | `NotFoundError` | +| 422 | `UnprocessableEntityError` | +| 429 | `RateLimitError` | +| >=500 | `InternalServerError` | +| N/A | `APIConnectionError` | + +### Retries + +Certain errors will be automatically retried 2 times by default, with a short exponential backoff. +Connection errors (for example, due to a network connectivity problem), 409 Conflict, 429 Rate Limit, +and >=500 Internal errors will all be retried by default. + +You can use the `maxRetries` option to configure or disable this: + + +```js +// Configure the default for all requests: +const openai = new OpenAI({ + maxRetries: 0, // default is 2 +}); + +// Or, configure per-request: +await openai.chat.completions.create({ messages: [{ role: 'user', content: 'How can I get the name of the current day in Node.js?' }], model: 'gpt-3.5-turbo' }, { + maxRetries: 5, +}); +``` + +### Timeouts + +Requests time out after 10 minutes by default. You can configure this with a `timeout` option: + + +```ts +// Configure the default for all requests: +const openai = new OpenAI({ + timeout: 20 * 1000, // 20 seconds (default is 10 minutes) +}); + +// Override per-request: +await openai.chat.completions.create({ messages: [{ role: 'user', content: 'How can I list all files in a directory using Python?' }], model: 'gpt-3.5-turbo' }, { + timeout: 5 * 1000, +}); +``` + +On timeout, an `APIConnectionTimeoutError` is thrown. + +Note that requests which time out will be [retried twice by default](#retries). + +## Advanced Usage + +### Accessing raw Response data (e.g., headers) + +The "raw" `Response` returned by `fetch()` can be accessed through the `.asResponse()` method on the `APIPromise` type that all methods return. + +You can also use the `.withResponse()` method to get the raw `Response` along with the parsed data. + +```ts +const openai = new OpenAI(); + +const response = await openai.chat.completions + .create({ messages: [{ role: 'user', content: 'Say this is a test' }], model: 'gpt-3.5-turbo' }) + .asResponse(); +console.log(response.headers.get('X-My-Header')); +console.log(response.statusText); // access the underlying Response object + +const { data: completions, response: raw } = await openai.chat.completions + .create({ messages: [{ role: 'user', content: 'Say this is a test' }], model: 'gpt-3.5-turbo' }) + .withResponse(); +console.log(raw.headers.get('X-My-Header')); +console.log(completions.choices); +``` + +## Configuring an HTTP(S) Agent (e.g., for proxies) + +By default, this library uses a stable agent for all http/https requests to reuse TCP connections, eliminating many TCP & TLS handshakes and shaving around 100ms off most requests. + +If you would like to disable or customize this behavior, for example to use the API behind a proxy, you can pass an `httpAgent` which is used for all requests (be they http or https), for example: + + +```ts +import http from 'http'; +import HttpsProxyAgent from 'https-proxy-agent'; + +// Configure the default for all requests: +const openai = new OpenAI({ + httpAgent: new HttpsProxyAgent(process.env.PROXY_URL), +}); + +// Override per-request: +await openai.models.list({ + baseURL: 'http://localhost:8080/test-api', + httpAgent: new http.Agent({ keepAlive: false }), +}) +``` + +## Semantic Versioning + +This package generally attempts to follow [SemVer](https://semver.org/spec/v2.0.0.html) conventions, though certain backwards-incompatible changes may be released as minor versions: -Streaming completions (`stream=true`) are not natively supported in this package yet, but [a workaround exists](https://github.com/openai/openai-node/issues/18#issuecomment-1369996933) if needed. +1. Changes that only affect static types, without breaking runtime behavior. +2. Changes to library internals which are technically public but not intended or documented for external use. _(Please open a GitHub issue to let us know if you are relying on such internals)_. +3. Changes that we do not expect to impact the vast majority of users in practice. -## Upgrade guide +We take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience. -All breaking changes for major version releases are listed below. +We are keen for your feedback; please open an [issue](https://www.github.com/openai/openai-node/issues) with questions, bugs, or suggestions. -### 3.0.0 +## Requirements -- The function signature of `createCompletion(engineId, params)` changed to `createCompletion(params)`. The value previously passed in as the `engineId` argument should now be passed in as `model` in the params object (e.g. `createCompletion({ model: "text-davinci-003", ... })`) -- Replace any `createCompletionFromModel(params)` calls with `createCompletion(params)` +The following runtimes are supported: -## Thanks +- Node.js 16 LTS or later ([non-EOL](https://endoflife.date/nodejs)) versions. +- Deno v1.28.0 or higher, using `import OpenAI from "npm:openai"`. + Deno Deploy is not yet supported. +- Cloudflare Workers. +- Vercel Edge Runtime. -Thank you to [ceifa](https://github.com/ceifa) for creating and maintaining the original unofficial `openai` npm package before we released this official library! ceifa's original package has been renamed to [gpt-x](https://www.npmjs.com/package/gpt-x). +If you are interested in other runtime environments, please open or upvote an issue on GitHub. diff --git a/api.md b/api.md new file mode 100644 index 000000000..722e833a3 --- /dev/null +++ b/api.md @@ -0,0 +1,138 @@ +# Completions + +Types: + +- Completion +- CompletionChoice +- CompletionUsage + +Methods: + +- client.completions.create({ ...params }) -> Completion + +# Chat + +## Completions + +Types: + +- ChatCompletion +- ChatCompletionChunk +- ChatCompletionMessage +- CreateChatCompletionRequestMessage + +Methods: + +- client.chat.completions.create({ ...params }) -> ChatCompletion + +# Edits + +Types: + +- Edit + +Methods: + +- client.edits.create({ ...params }) -> Edit + +# Embeddings + +Types: + +- CreateEmbeddingResponse +- Embedding + +Methods: + +- client.embeddings.create({ ...params }) -> CreateEmbeddingResponse + +# Files + +Types: + +- FileContent +- FileDeleted +- FileObject + +Methods: + +- client.files.create({ ...params }) -> FileObject +- client.files.retrieve(fileId) -> FileObject +- client.files.list() -> FileObjectsPage +- client.files.del(fileId) -> FileDeleted +- client.files.retrieveContent(fileId) -> string + +# Images + +Types: + +- Image +- ImagesResponse + +Methods: + +- client.images.createVariation({ ...params }) -> ImagesResponse +- client.images.edit({ ...params }) -> ImagesResponse +- client.images.generate({ ...params }) -> ImagesResponse + +# Audio + +## Transcriptions + +Types: + +- Transcription + +Methods: + +- client.audio.transcriptions.create({ ...params }) -> Transcription + +## Translations + +Types: + +- Translation + +Methods: + +- client.audio.translations.create({ ...params }) -> Translation + +# Moderations + +Types: + +- Moderation +- ModerationCreateResponse + +Methods: + +- client.moderations.create({ ...params }) -> ModerationCreateResponse + +# Models + +Types: + +- Model +- ModelDeleted + +Methods: + +- client.models.retrieve(model) -> Model +- client.models.list() -> ModelsPage +- client.models.del(model) -> ModelDeleted + +# FineTunes + +Types: + +- FineTune +- FineTuneEvent +- FineTuneEventsListResponse + +Methods: + +- client.fineTunes.create({ ...params }) -> FineTune +- client.fineTunes.retrieve(fineTuneId) -> FineTune +- client.fineTunes.list() -> FineTunesPage +- client.fineTunes.cancel(fineTuneId) -> FineTune +- client.fineTunes.listEvents(fineTuneId, { ...params }) -> FineTuneEventsListResponse diff --git a/api.ts b/api.ts deleted file mode 100644 index 10505c0d4..000000000 --- a/api.ts +++ /dev/null @@ -1,4131 +0,0 @@ -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ - - -import type { Configuration } from './configuration'; -import type { AxiosPromise, AxiosInstance, AxiosRequestConfig } from 'axios'; -import globalAxios from 'axios'; -// Some imports not used depending on template conditions -// @ts-ignore -import { DUMMY_BASE_URL, assertParamExists, setApiKeyToObject, setBasicAuthToObject, setBearerAuthToObject, setOAuthToObject, setSearchParams, serializeDataIfNeeded, toPathString, createRequestFunction } from './common'; -import type { RequestArgs } from './base'; -// @ts-ignore -import { BASE_PATH, COLLECTION_FORMATS, BaseAPI, RequiredError } from './base'; - -/** - * - * @export - * @interface ChatCompletionFunctions - */ -export interface ChatCompletionFunctions { - /** - * The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - * @type {string} - * @memberof ChatCompletionFunctions - */ - 'name': string; - /** - * The description of what the function does. - * @type {string} - * @memberof ChatCompletionFunctions - */ - 'description'?: string; - /** - * The parameters the functions accepts, described as a JSON Schema object. See the [guide](/docs/guides/gpt/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. - * @type {{ [key: string]: any; }} - * @memberof ChatCompletionFunctions - */ - 'parameters'?: { [key: string]: any; }; -} -/** - * - * @export - * @interface ChatCompletionRequestMessage - */ -export interface ChatCompletionRequestMessage { - /** - * The role of the messages author. One of `system`, `user`, `assistant`, or `function`. - * @type {string} - * @memberof ChatCompletionRequestMessage - */ - 'role': ChatCompletionRequestMessageRoleEnum; - /** - * The contents of the message. `content` is required for all messages except assistant messages with function calls. - * @type {string} - * @memberof ChatCompletionRequestMessage - */ - 'content'?: string; - /** - * The name of the author of this message. `name` is required if role is `function`, and it should be the name of the function whose response is in the `content`. May contain a-z, A-Z, 0-9, and underscores, with a maximum length of 64 characters. - * @type {string} - * @memberof ChatCompletionRequestMessage - */ - 'name'?: string; - /** - * - * @type {ChatCompletionRequestMessageFunctionCall} - * @memberof ChatCompletionRequestMessage - */ - 'function_call'?: ChatCompletionRequestMessageFunctionCall; -} - -export const ChatCompletionRequestMessageRoleEnum = { - System: 'system', - User: 'user', - Assistant: 'assistant', - Function: 'function' -} as const; - -export type ChatCompletionRequestMessageRoleEnum = typeof ChatCompletionRequestMessageRoleEnum[keyof typeof ChatCompletionRequestMessageRoleEnum]; - -/** - * The name and arguments of a function that should be called, as generated by the model. - * @export - * @interface ChatCompletionRequestMessageFunctionCall - */ -export interface ChatCompletionRequestMessageFunctionCall { - /** - * The name of the function to call. - * @type {string} - * @memberof ChatCompletionRequestMessageFunctionCall - */ - 'name'?: string; - /** - * The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. - * @type {string} - * @memberof ChatCompletionRequestMessageFunctionCall - */ - 'arguments'?: string; -} -/** - * - * @export - * @interface ChatCompletionResponseMessage - */ -export interface ChatCompletionResponseMessage { - /** - * The role of the author of this message. - * @type {string} - * @memberof ChatCompletionResponseMessage - */ - 'role': ChatCompletionResponseMessageRoleEnum; - /** - * The contents of the message. - * @type {string} - * @memberof ChatCompletionResponseMessage - */ - 'content'?: string; - /** - * - * @type {ChatCompletionRequestMessageFunctionCall} - * @memberof ChatCompletionResponseMessage - */ - 'function_call'?: ChatCompletionRequestMessageFunctionCall; -} - -export const ChatCompletionResponseMessageRoleEnum = { - System: 'system', - User: 'user', - Assistant: 'assistant', - Function: 'function' -} as const; - -export type ChatCompletionResponseMessageRoleEnum = typeof ChatCompletionResponseMessageRoleEnum[keyof typeof ChatCompletionResponseMessageRoleEnum]; - -/** - * - * @export - * @interface CreateAnswerRequest - */ -export interface CreateAnswerRequest { - /** - * ID of the model to use for completion. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'model': string; - /** - * Question to get answered. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'question': string; - /** - * List of (question, answer) pairs that will help steer the model towards the tone and answer format you\'d like. We recommend adding 2 to 3 examples. - * @type {Array} - * @memberof CreateAnswerRequest - */ - 'examples': Array; - /** - * A text snippet containing the contextual information used to generate the answers for the `examples` you provide. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'examples_context': string; - /** - * List of documents from which the answer for the input `question` should be derived. If this is an empty list, the question will be answered based on the question-answer examples. You should specify either `documents` or a `file`, but not both. - * @type {Array} - * @memberof CreateAnswerRequest - */ - 'documents'?: Array | null; - /** - * The ID of an uploaded file that contains documents to search over. See [upload file](/docs/api-reference/files/upload) for how to upload a file of the desired format and purpose. You should specify either `documents` or a `file`, but not both. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'file'?: string | null; - /** - * ID of the model to use for [Search](/docs/api-reference/searches/create). You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'search_model'?: string | null; - /** - * The maximum number of documents to be ranked by [Search](/docs/api-reference/searches/create) when using `file`. Setting it to a higher value leads to improved accuracy but with increased latency and cost. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'max_rerank'?: number | null; - /** - * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'temperature'?: number | null; - /** - * Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. When `logprobs` is set, `completion` will be automatically added into `expand` to get the logprobs. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'logprobs'?: number | null; - /** - * The maximum number of tokens allowed for the generated answer - * @type {number} - * @memberof CreateAnswerRequest - */ - 'max_tokens'?: number | null; - /** - * - * @type {CreateAnswerRequestStop} - * @memberof CreateAnswerRequest - */ - 'stop'?: CreateAnswerRequestStop | null; - /** - * How many answers to generate for each question. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'n'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated. - * @type {object} - * @memberof CreateAnswerRequest - */ - 'logit_bias'?: object | null; - /** - * A special boolean flag for showing metadata. If set to `true`, each document entry in the returned JSON will contain a \"metadata\" field. This flag only takes effect when `file` is set. - * @type {boolean} - * @memberof CreateAnswerRequest - */ - 'return_metadata'?: boolean | null; - /** - * If set to `true`, the returned JSON will include a \"prompt\" field containing the final prompt that was used to request a completion. This is mainly useful for debugging purposes. - * @type {boolean} - * @memberof CreateAnswerRequest - */ - 'return_prompt'?: boolean | null; - /** - * If an object name is in the list, we provide the full information of the object; otherwise, we only provide the object ID. Currently we support `completion` and `file` objects for expansion. - * @type {Array} - * @memberof CreateAnswerRequest - */ - 'expand'?: Array | null; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateAnswerRequest - */ - 'user'?: string; -} -/** - * @type CreateAnswerRequestStop - * Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. - * @export - */ -export type CreateAnswerRequestStop = Array | string; - -/** - * - * @export - * @interface CreateAnswerResponse - */ -export interface CreateAnswerResponse { - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'object'?: string; - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'model'?: string; - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'search_model'?: string; - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'completion'?: string; - /** - * - * @type {Array} - * @memberof CreateAnswerResponse - */ - 'answers'?: Array; - /** - * - * @type {Array} - * @memberof CreateAnswerResponse - */ - 'selected_documents'?: Array; -} -/** - * - * @export - * @interface CreateAnswerResponseSelectedDocumentsInner - */ -export interface CreateAnswerResponseSelectedDocumentsInner { - /** - * - * @type {number} - * @memberof CreateAnswerResponseSelectedDocumentsInner - */ - 'document'?: number; - /** - * - * @type {string} - * @memberof CreateAnswerResponseSelectedDocumentsInner - */ - 'text'?: string; -} -/** - * - * @export - * @interface CreateChatCompletionRequest - */ -export interface CreateChatCompletionRequest { - /** - * ID of the model to use. See the [model endpoint compatibility](/docs/models/model-endpoint-compatibility) table for details on which models work with the Chat API. - * @type {string} - * @memberof CreateChatCompletionRequest - */ - 'model': string; - /** - * A list of messages comprising the conversation so far. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb). - * @type {Array} - * @memberof CreateChatCompletionRequest - */ - 'messages': Array; - /** - * A list of functions the model may generate JSON inputs for. - * @type {Array} - * @memberof CreateChatCompletionRequest - */ - 'functions'?: Array; - /** - * - * @type {CreateChatCompletionRequestFunctionCall} - * @memberof CreateChatCompletionRequest - */ - 'function_call'?: CreateChatCompletionRequestFunctionCall; - /** - * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both. - * @type {number} - * @memberof CreateChatCompletionRequest - */ - 'temperature'?: number | null; - /** - * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. - * @type {number} - * @memberof CreateChatCompletionRequest - */ - 'top_p'?: number | null; - /** - * How many chat completion choices to generate for each input message. - * @type {number} - * @memberof CreateChatCompletionRequest - */ - 'n'?: number | null; - /** - * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb). - * @type {boolean} - * @memberof CreateChatCompletionRequest - */ - 'stream'?: boolean | null; - /** - * - * @type {CreateChatCompletionRequestStop} - * @memberof CreateChatCompletionRequest - */ - 'stop'?: CreateChatCompletionRequestStop; - /** - * The maximum number of [tokens](/tokenizer) to generate in the chat completion. The total length of input tokens and generated tokens is limited by the model\'s context length. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) for counting tokens. - * @type {number} - * @memberof CreateChatCompletionRequest - */ - 'max_tokens'?: number; - /** - * Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) - * @type {number} - * @memberof CreateChatCompletionRequest - */ - 'presence_penalty'?: number | null; - /** - * Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) - * @type {number} - * @memberof CreateChatCompletionRequest - */ - 'frequency_penalty'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. - * @type {object} - * @memberof CreateChatCompletionRequest - */ - 'logit_bias'?: object | null; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateChatCompletionRequest - */ - 'user'?: string; -} -/** - * @type CreateChatCompletionRequestFunctionCall - * Controls how the model responds to function calls. \"none\" means the model does not call a function, and responds to the end-user. \"auto\" means the model can pick between an end-user or calling a function. Specifying a particular function via `{\"name\":\\ \"my_function\"}` forces the model to call that function. \"none\" is the default when no functions are present. \"auto\" is the default if functions are present. - * @export - */ -export type CreateChatCompletionRequestFunctionCall = CreateChatCompletionRequestFunctionCallOneOf | string; - -/** - * - * @export - * @interface CreateChatCompletionRequestFunctionCallOneOf - */ -export interface CreateChatCompletionRequestFunctionCallOneOf { - /** - * The name of the function to call. - * @type {string} - * @memberof CreateChatCompletionRequestFunctionCallOneOf - */ - 'name': string; -} -/** - * @type CreateChatCompletionRequestStop - * Up to 4 sequences where the API will stop generating further tokens. - * @export - */ -export type CreateChatCompletionRequestStop = Array | string; - -/** - * - * @export - * @interface CreateChatCompletionResponse - */ -export interface CreateChatCompletionResponse { - /** - * - * @type {string} - * @memberof CreateChatCompletionResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof CreateChatCompletionResponse - */ - 'object': string; - /** - * - * @type {number} - * @memberof CreateChatCompletionResponse - */ - 'created': number; - /** - * - * @type {string} - * @memberof CreateChatCompletionResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateChatCompletionResponse - */ - 'choices': Array; - /** - * - * @type {CreateCompletionResponseUsage} - * @memberof CreateChatCompletionResponse - */ - 'usage'?: CreateCompletionResponseUsage; -} -/** - * - * @export - * @interface CreateChatCompletionResponseChoicesInner - */ -export interface CreateChatCompletionResponseChoicesInner { - /** - * - * @type {number} - * @memberof CreateChatCompletionResponseChoicesInner - */ - 'index'?: number; - /** - * - * @type {ChatCompletionResponseMessage} - * @memberof CreateChatCompletionResponseChoicesInner - */ - 'message'?: ChatCompletionResponseMessage; - /** - * - * @type {string} - * @memberof CreateChatCompletionResponseChoicesInner - */ - 'finish_reason'?: string; -} -/** - * - * @export - * @interface CreateClassificationRequest - */ -export interface CreateClassificationRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'model': string; - /** - * Query to be classified. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'query': string; - /** - * A list of examples with labels, in the following format: `[[\"The movie is so interesting.\", \"Positive\"], [\"It is quite boring.\", \"Negative\"], ...]` All the label strings will be normalized to be capitalized. You should specify either `examples` or `file`, but not both. - * @type {Array} - * @memberof CreateClassificationRequest - */ - 'examples'?: Array | null; - /** - * The ID of the uploaded file that contains training examples. See [upload file](/docs/api-reference/files/upload) for how to upload a file of the desired format and purpose. You should specify either `examples` or `file`, but not both. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'file'?: string | null; - /** - * The set of categories being classified. If not specified, candidate labels will be automatically collected from the examples you provide. All the label strings will be normalized to be capitalized. - * @type {Array} - * @memberof CreateClassificationRequest - */ - 'labels'?: Array | null; - /** - * ID of the model to use for [Search](/docs/api-reference/searches/create). You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'search_model'?: string | null; - /** - * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - * @type {number} - * @memberof CreateClassificationRequest - */ - 'temperature'?: number | null; - /** - * Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. When `logprobs` is set, `completion` will be automatically added into `expand` to get the logprobs. - * @type {number} - * @memberof CreateClassificationRequest - */ - 'logprobs'?: number | null; - /** - * The maximum number of examples to be ranked by [Search](/docs/api-reference/searches/create) when using `file`. Setting it to a higher value leads to improved accuracy but with increased latency and cost. - * @type {number} - * @memberof CreateClassificationRequest - */ - 'max_examples'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated. - * @type {object} - * @memberof CreateClassificationRequest - */ - 'logit_bias'?: object | null; - /** - * If set to `true`, the returned JSON will include a \"prompt\" field containing the final prompt that was used to request a completion. This is mainly useful for debugging purposes. - * @type {boolean} - * @memberof CreateClassificationRequest - */ - 'return_prompt'?: boolean | null; - /** - * A special boolean flag for showing metadata. If set to `true`, each document entry in the returned JSON will contain a \"metadata\" field. This flag only takes effect when `file` is set. - * @type {boolean} - * @memberof CreateClassificationRequest - */ - 'return_metadata'?: boolean | null; - /** - * If an object name is in the list, we provide the full information of the object; otherwise, we only provide the object ID. Currently we support `completion` and `file` objects for expansion. - * @type {Array} - * @memberof CreateClassificationRequest - */ - 'expand'?: Array | null; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateClassificationRequest - */ - 'user'?: string; -} -/** - * - * @export - * @interface CreateClassificationResponse - */ -export interface CreateClassificationResponse { - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'object'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'model'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'search_model'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'completion'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'label'?: string; - /** - * - * @type {Array} - * @memberof CreateClassificationResponse - */ - 'selected_examples'?: Array; -} -/** - * - * @export - * @interface CreateClassificationResponseSelectedExamplesInner - */ -export interface CreateClassificationResponseSelectedExamplesInner { - /** - * - * @type {number} - * @memberof CreateClassificationResponseSelectedExamplesInner - */ - 'document'?: number; - /** - * - * @type {string} - * @memberof CreateClassificationResponseSelectedExamplesInner - */ - 'text'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponseSelectedExamplesInner - */ - 'label'?: string; -} -/** - * - * @export - * @interface CreateCompletionRequest - */ -export interface CreateCompletionRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateCompletionRequest - */ - 'model': string; - /** - * - * @type {CreateCompletionRequestPrompt} - * @memberof CreateCompletionRequest - */ - 'prompt'?: CreateCompletionRequestPrompt | null; - /** - * The suffix that comes after a completion of inserted text. - * @type {string} - * @memberof CreateCompletionRequest - */ - 'suffix'?: string | null; - /** - * The maximum number of [tokens](/tokenizer) to generate in the completion. The token count of your prompt plus `max_tokens` cannot exceed the model\'s context length. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) for counting tokens. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'max_tokens'?: number | null; - /** - * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'temperature'?: number | null; - /** - * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'top_p'?: number | null; - /** - * How many completions to generate for each prompt. **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'n'?: number | null; - /** - * Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb). - * @type {boolean} - * @memberof CreateCompletionRequest - */ - 'stream'?: boolean | null; - /** - * Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'logprobs'?: number | null; - /** - * Echo back the prompt in addition to the completion - * @type {boolean} - * @memberof CreateCompletionRequest - */ - 'echo'?: boolean | null; - /** - * - * @type {CreateCompletionRequestStop} - * @memberof CreateCompletionRequest - */ - 'stop'?: CreateCompletionRequestStop | null; - /** - * Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) - * @type {number} - * @memberof CreateCompletionRequest - */ - 'presence_penalty'?: number | null; - /** - * Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) - * @type {number} - * @memberof CreateCompletionRequest - */ - 'frequency_penalty'?: number | null; - /** - * Generates `best_of` completions server-side and returns the \"best\" (the one with the highest log probability per token). Results cannot be streamed. When used with `n`, `best_of` controls the number of candidate completions and `n` specifies how many to return – `best_of` must be greater than `n`. **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'best_of'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated. - * @type {object} - * @memberof CreateCompletionRequest - */ - 'logit_bias'?: object | null; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateCompletionRequest - */ - 'user'?: string; -} -/** - * @type CreateCompletionRequestPrompt - * The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays. Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document. - * @export - */ -export type CreateCompletionRequestPrompt = Array | Array | Array | string; - -/** - * @type CreateCompletionRequestStop - * Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. - * @export - */ -export type CreateCompletionRequestStop = Array | string; - -/** - * - * @export - * @interface CreateCompletionResponse - */ -export interface CreateCompletionResponse { - /** - * - * @type {string} - * @memberof CreateCompletionResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof CreateCompletionResponse - */ - 'object': string; - /** - * - * @type {number} - * @memberof CreateCompletionResponse - */ - 'created': number; - /** - * - * @type {string} - * @memberof CreateCompletionResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateCompletionResponse - */ - 'choices': Array; - /** - * - * @type {CreateCompletionResponseUsage} - * @memberof CreateCompletionResponse - */ - 'usage'?: CreateCompletionResponseUsage; -} -/** - * - * @export - * @interface CreateCompletionResponseChoicesInner - */ -export interface CreateCompletionResponseChoicesInner { - /** - * - * @type {string} - * @memberof CreateCompletionResponseChoicesInner - */ - 'text'?: string; - /** - * - * @type {number} - * @memberof CreateCompletionResponseChoicesInner - */ - 'index'?: number; - /** - * - * @type {CreateCompletionResponseChoicesInnerLogprobs} - * @memberof CreateCompletionResponseChoicesInner - */ - 'logprobs'?: CreateCompletionResponseChoicesInnerLogprobs | null; - /** - * - * @type {string} - * @memberof CreateCompletionResponseChoicesInner - */ - 'finish_reason'?: string; -} -/** - * - * @export - * @interface CreateCompletionResponseChoicesInnerLogprobs - */ -export interface CreateCompletionResponseChoicesInnerLogprobs { - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'tokens'?: Array; - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'token_logprobs'?: Array; - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'top_logprobs'?: Array; - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'text_offset'?: Array; -} -/** - * - * @export - * @interface CreateCompletionResponseUsage - */ -export interface CreateCompletionResponseUsage { - /** - * - * @type {number} - * @memberof CreateCompletionResponseUsage - */ - 'prompt_tokens': number; - /** - * - * @type {number} - * @memberof CreateCompletionResponseUsage - */ - 'completion_tokens': number; - /** - * - * @type {number} - * @memberof CreateCompletionResponseUsage - */ - 'total_tokens': number; -} -/** - * - * @export - * @interface CreateEditRequest - */ -export interface CreateEditRequest { - /** - * ID of the model to use. You can use the `text-davinci-edit-001` or `code-davinci-edit-001` model with this endpoint. - * @type {string} - * @memberof CreateEditRequest - */ - 'model': string; - /** - * The input text to use as a starting point for the edit. - * @type {string} - * @memberof CreateEditRequest - */ - 'input'?: string | null; - /** - * The instruction that tells the model how to edit the prompt. - * @type {string} - * @memberof CreateEditRequest - */ - 'instruction': string; - /** - * How many edits to generate for the input and instruction. - * @type {number} - * @memberof CreateEditRequest - */ - 'n'?: number | null; - /** - * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both. - * @type {number} - * @memberof CreateEditRequest - */ - 'temperature'?: number | null; - /** - * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. - * @type {number} - * @memberof CreateEditRequest - */ - 'top_p'?: number | null; -} -/** - * - * @export - * @interface CreateEditResponse - */ -export interface CreateEditResponse { - /** - * - * @type {string} - * @memberof CreateEditResponse - */ - 'object': string; - /** - * - * @type {number} - * @memberof CreateEditResponse - */ - 'created': number; - /** - * - * @type {Array} - * @memberof CreateEditResponse - */ - 'choices': Array; - /** - * - * @type {CreateCompletionResponseUsage} - * @memberof CreateEditResponse - */ - 'usage': CreateCompletionResponseUsage; -} -/** - * - * @export - * @interface CreateEmbeddingRequest - */ -export interface CreateEmbeddingRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateEmbeddingRequest - */ - 'model': string; - /** - * - * @type {CreateEmbeddingRequestInput} - * @memberof CreateEmbeddingRequest - */ - 'input': CreateEmbeddingRequestInput; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateEmbeddingRequest - */ - 'user'?: string; -} -/** - * @type CreateEmbeddingRequestInput - * Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed the max input tokens for the model (8191 tokens for `text-embedding-ada-002`). [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) for counting tokens. - * @export - */ -export type CreateEmbeddingRequestInput = Array | Array | Array | string; - -/** - * - * @export - * @interface CreateEmbeddingResponse - */ -export interface CreateEmbeddingResponse { - /** - * - * @type {string} - * @memberof CreateEmbeddingResponse - */ - 'object': string; - /** - * - * @type {string} - * @memberof CreateEmbeddingResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateEmbeddingResponse - */ - 'data': Array; - /** - * - * @type {CreateEmbeddingResponseUsage} - * @memberof CreateEmbeddingResponse - */ - 'usage': CreateEmbeddingResponseUsage; -} -/** - * - * @export - * @interface CreateEmbeddingResponseDataInner - */ -export interface CreateEmbeddingResponseDataInner { - /** - * - * @type {number} - * @memberof CreateEmbeddingResponseDataInner - */ - 'index': number; - /** - * - * @type {string} - * @memberof CreateEmbeddingResponseDataInner - */ - 'object': string; - /** - * - * @type {Array} - * @memberof CreateEmbeddingResponseDataInner - */ - 'embedding': Array; -} -/** - * - * @export - * @interface CreateEmbeddingResponseUsage - */ -export interface CreateEmbeddingResponseUsage { - /** - * - * @type {number} - * @memberof CreateEmbeddingResponseUsage - */ - 'prompt_tokens': number; - /** - * - * @type {number} - * @memberof CreateEmbeddingResponseUsage - */ - 'total_tokens': number; -} -/** - * - * @export - * @interface CreateFineTuneRequest - */ -export interface CreateFineTuneRequest { - /** - * The ID of an uploaded file that contains training data. See [upload file](/docs/api-reference/files/upload) for how to upload a file. Your dataset must be formatted as a JSONL file, where each training example is a JSON object with the keys \"prompt\" and \"completion\". Additionally, you must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](/docs/guides/fine-tuning/creating-training-data) for more details. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'training_file': string; - /** - * The ID of an uploaded file that contains validation data. If you provide this file, the data is used to generate validation metrics periodically during fine-tuning. These metrics can be viewed in the [fine-tuning results file](/docs/guides/fine-tuning/analyzing-your-fine-tuned-model). Your train and validation data should be mutually exclusive. Your dataset must be formatted as a JSONL file, where each validation example is a JSON object with the keys \"prompt\" and \"completion\". Additionally, you must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](/docs/guides/fine-tuning/creating-training-data) for more details. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'validation_file'?: string | null; - /** - * The name of the base model to fine-tune. You can select one of \"ada\", \"babbage\", \"curie\", \"davinci\", or a fine-tuned model created after 2022-04-21. To learn more about these models, see the [Models](https://platform.openai.com/docs/models) documentation. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'model'?: string | null; - /** - * The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'n_epochs'?: number | null; - /** - * The batch size to use for training. The batch size is the number of training examples used to train a single forward and backward pass. By default, the batch size will be dynamically configured to be ~0.2% of the number of examples in the training set, capped at 256 - in general, we\'ve found that larger batch sizes tend to work better for larger datasets. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'batch_size'?: number | null; - /** - * The learning rate multiplier to use for training. The fine-tuning learning rate is the original learning rate used for pretraining multiplied by this value. By default, the learning rate multiplier is the 0.05, 0.1, or 0.2 depending on final `batch_size` (larger learning rates tend to perform better with larger batch sizes). We recommend experimenting with values in the range 0.02 to 0.2 to see what produces the best results. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'learning_rate_multiplier'?: number | null; - /** - * The weight to use for loss on the prompt tokens. This controls how much the model tries to learn to generate the prompt (as compared to the completion which always has a weight of 1.0), and can add a stabilizing effect to training when completions are short. If prompts are extremely long (relative to completions), it may make sense to reduce this weight so as to avoid over-prioritizing learning the prompt. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'prompt_loss_weight'?: number | null; - /** - * If set, we calculate classification-specific metrics such as accuracy and F-1 score using the validation set at the end of every epoch. These metrics can be viewed in the [results file](/docs/guides/fine-tuning/analyzing-your-fine-tuned-model). In order to compute classification metrics, you must provide a `validation_file`. Additionally, you must specify `classification_n_classes` for multiclass classification or `classification_positive_class` for binary classification. - * @type {boolean} - * @memberof CreateFineTuneRequest - */ - 'compute_classification_metrics'?: boolean | null; - /** - * The number of classes in a classification task. This parameter is required for multiclass classification. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'classification_n_classes'?: number | null; - /** - * The positive class in binary classification. This parameter is needed to generate precision, recall, and F1 metrics when doing binary classification. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'classification_positive_class'?: string | null; - /** - * If this is provided, we calculate F-beta scores at the specified beta values. The F-beta score is a generalization of F-1 score. This is only used for binary classification. With a beta of 1 (i.e. the F-1 score), precision and recall are given the same weight. A larger beta score puts more weight on recall and less on precision. A smaller beta score puts more weight on precision and less on recall. - * @type {Array} - * @memberof CreateFineTuneRequest - */ - 'classification_betas'?: Array | null; - /** - * A string of up to 40 characters that will be added to your fine-tuned model name. For example, a `suffix` of \"custom-model-name\" would produce a model name like `ada:ft-your-org:custom-model-name-2022-02-15-04-21-04`. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'suffix'?: string | null; -} -/** - * - * @export - * @interface CreateImageRequest - */ -export interface CreateImageRequest { - /** - * A text description of the desired image(s). The maximum length is 1000 characters. - * @type {string} - * @memberof CreateImageRequest - */ - 'prompt': string; - /** - * The number of images to generate. Must be between 1 and 10. - * @type {number} - * @memberof CreateImageRequest - */ - 'n'?: number | null; - /** - * The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @type {string} - * @memberof CreateImageRequest - */ - 'size'?: CreateImageRequestSizeEnum; - /** - * The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @type {string} - * @memberof CreateImageRequest - */ - 'response_format'?: CreateImageRequestResponseFormatEnum; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateImageRequest - */ - 'user'?: string; -} - -export const CreateImageRequestSizeEnum = { - _256x256: '256x256', - _512x512: '512x512', - _1024x1024: '1024x1024' -} as const; - -export type CreateImageRequestSizeEnum = typeof CreateImageRequestSizeEnum[keyof typeof CreateImageRequestSizeEnum]; -export const CreateImageRequestResponseFormatEnum = { - Url: 'url', - B64Json: 'b64_json' -} as const; - -export type CreateImageRequestResponseFormatEnum = typeof CreateImageRequestResponseFormatEnum[keyof typeof CreateImageRequestResponseFormatEnum]; - -/** - * - * @export - * @interface CreateModerationRequest - */ -export interface CreateModerationRequest { - /** - * - * @type {CreateModerationRequestInput} - * @memberof CreateModerationRequest - */ - 'input': CreateModerationRequestInput; - /** - * Two content moderations models are available: `text-moderation-stable` and `text-moderation-latest`. The default is `text-moderation-latest` which will be automatically upgraded over time. This ensures you are always using our most accurate model. If you use `text-moderation-stable`, we will provide advanced notice before updating the model. Accuracy of `text-moderation-stable` may be slightly lower than for `text-moderation-latest`. - * @type {string} - * @memberof CreateModerationRequest - */ - 'model'?: string; -} -/** - * @type CreateModerationRequestInput - * The input text to classify - * @export - */ -export type CreateModerationRequestInput = Array | string; - -/** - * - * @export - * @interface CreateModerationResponse - */ -export interface CreateModerationResponse { - /** - * - * @type {string} - * @memberof CreateModerationResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof CreateModerationResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateModerationResponse - */ - 'results': Array; -} -/** - * - * @export - * @interface CreateModerationResponseResultsInner - */ -export interface CreateModerationResponseResultsInner { - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInner - */ - 'flagged': boolean; - /** - * - * @type {CreateModerationResponseResultsInnerCategories} - * @memberof CreateModerationResponseResultsInner - */ - 'categories': CreateModerationResponseResultsInnerCategories; - /** - * - * @type {CreateModerationResponseResultsInnerCategoryScores} - * @memberof CreateModerationResponseResultsInner - */ - 'category_scores': CreateModerationResponseResultsInnerCategoryScores; -} -/** - * - * @export - * @interface CreateModerationResponseResultsInnerCategories - */ -export interface CreateModerationResponseResultsInnerCategories { - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'hate': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'hate/threatening': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'self-harm': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'sexual': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'sexual/minors': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'violence': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'violence/graphic': boolean; -} -/** - * - * @export - * @interface CreateModerationResponseResultsInnerCategoryScores - */ -export interface CreateModerationResponseResultsInnerCategoryScores { - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'hate': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'hate/threatening': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'self-harm': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'sexual': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'sexual/minors': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'violence': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'violence/graphic': number; -} -/** - * - * @export - * @interface CreateSearchRequest - */ -export interface CreateSearchRequest { - /** - * Query to search against the documents. - * @type {string} - * @memberof CreateSearchRequest - */ - 'query': string; - /** - * Up to 200 documents to search over, provided as a list of strings. The maximum document length (in tokens) is 2034 minus the number of tokens in the query. You should specify either `documents` or a `file`, but not both. - * @type {Array} - * @memberof CreateSearchRequest - */ - 'documents'?: Array | null; - /** - * The ID of an uploaded file that contains documents to search over. You should specify either `documents` or a `file`, but not both. - * @type {string} - * @memberof CreateSearchRequest - */ - 'file'?: string | null; - /** - * The maximum number of documents to be re-ranked and returned by search. This flag only takes effect when `file` is set. - * @type {number} - * @memberof CreateSearchRequest - */ - 'max_rerank'?: number | null; - /** - * A special boolean flag for showing metadata. If set to `true`, each document entry in the returned JSON will contain a \"metadata\" field. This flag only takes effect when `file` is set. - * @type {boolean} - * @memberof CreateSearchRequest - */ - 'return_metadata'?: boolean | null; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateSearchRequest - */ - 'user'?: string; -} -/** - * - * @export - * @interface CreateSearchResponse - */ -export interface CreateSearchResponse { - /** - * - * @type {string} - * @memberof CreateSearchResponse - */ - 'object'?: string; - /** - * - * @type {string} - * @memberof CreateSearchResponse - */ - 'model'?: string; - /** - * - * @type {Array} - * @memberof CreateSearchResponse - */ - 'data'?: Array; -} -/** - * - * @export - * @interface CreateSearchResponseDataInner - */ -export interface CreateSearchResponseDataInner { - /** - * - * @type {string} - * @memberof CreateSearchResponseDataInner - */ - 'object'?: string; - /** - * - * @type {number} - * @memberof CreateSearchResponseDataInner - */ - 'document'?: number; - /** - * - * @type {number} - * @memberof CreateSearchResponseDataInner - */ - 'score'?: number; -} -/** - * - * @export - * @interface CreateTranscriptionResponse - */ -export interface CreateTranscriptionResponse { - /** - * - * @type {string} - * @memberof CreateTranscriptionResponse - */ - 'text': string; -} -/** - * - * @export - * @interface CreateTranslationResponse - */ -export interface CreateTranslationResponse { - /** - * - * @type {string} - * @memberof CreateTranslationResponse - */ - 'text': string; -} -/** - * - * @export - * @interface DeleteFileResponse - */ -export interface DeleteFileResponse { - /** - * - * @type {string} - * @memberof DeleteFileResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof DeleteFileResponse - */ - 'object': string; - /** - * - * @type {boolean} - * @memberof DeleteFileResponse - */ - 'deleted': boolean; -} -/** - * - * @export - * @interface DeleteModelResponse - */ -export interface DeleteModelResponse { - /** - * - * @type {string} - * @memberof DeleteModelResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof DeleteModelResponse - */ - 'object': string; - /** - * - * @type {boolean} - * @memberof DeleteModelResponse - */ - 'deleted': boolean; -} -/** - * - * @export - * @interface Engine - */ -export interface Engine { - /** - * - * @type {string} - * @memberof Engine - */ - 'id': string; - /** - * - * @type {string} - * @memberof Engine - */ - 'object': string; - /** - * - * @type {number} - * @memberof Engine - */ - 'created': number | null; - /** - * - * @type {boolean} - * @memberof Engine - */ - 'ready': boolean; -} -/** - * - * @export - * @interface ErrorResponse - */ -export interface ErrorResponse { - /** - * - * @type {Error} - * @memberof ErrorResponse - */ - 'error': Error; -} -/** - * - * @export - * @interface FineTune - */ -export interface FineTune { - /** - * - * @type {string} - * @memberof FineTune - */ - 'id': string; - /** - * - * @type {string} - * @memberof FineTune - */ - 'object': string; - /** - * - * @type {number} - * @memberof FineTune - */ - 'created_at': number; - /** - * - * @type {number} - * @memberof FineTune - */ - 'updated_at': number; - /** - * - * @type {string} - * @memberof FineTune - */ - 'model': string; - /** - * - * @type {string} - * @memberof FineTune - */ - 'fine_tuned_model': string | null; - /** - * - * @type {string} - * @memberof FineTune - */ - 'organization_id': string; - /** - * - * @type {string} - * @memberof FineTune - */ - 'status': string; - /** - * - * @type {object} - * @memberof FineTune - */ - 'hyperparams': object; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'training_files': Array; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'validation_files': Array; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'result_files': Array; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'events'?: Array; -} -/** - * - * @export - * @interface FineTuneEvent - */ -export interface FineTuneEvent { - /** - * - * @type {string} - * @memberof FineTuneEvent - */ - 'object': string; - /** - * - * @type {number} - * @memberof FineTuneEvent - */ - 'created_at': number; - /** - * - * @type {string} - * @memberof FineTuneEvent - */ - 'level': string; - /** - * - * @type {string} - * @memberof FineTuneEvent - */ - 'message': string; -} -/** - * - * @export - * @interface ImagesResponse - */ -export interface ImagesResponse { - /** - * - * @type {number} - * @memberof ImagesResponse - */ - 'created': number; - /** - * - * @type {Array} - * @memberof ImagesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ImagesResponseDataInner - */ -export interface ImagesResponseDataInner { - /** - * - * @type {string} - * @memberof ImagesResponseDataInner - */ - 'url'?: string; - /** - * - * @type {string} - * @memberof ImagesResponseDataInner - */ - 'b64_json'?: string; -} -/** - * - * @export - * @interface ListEnginesResponse - */ -export interface ListEnginesResponse { - /** - * - * @type {string} - * @memberof ListEnginesResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListEnginesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListFilesResponse - */ -export interface ListFilesResponse { - /** - * - * @type {string} - * @memberof ListFilesResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListFilesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListFineTuneEventsResponse - */ -export interface ListFineTuneEventsResponse { - /** - * - * @type {string} - * @memberof ListFineTuneEventsResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListFineTuneEventsResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListFineTunesResponse - */ -export interface ListFineTunesResponse { - /** - * - * @type {string} - * @memberof ListFineTunesResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListFineTunesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListModelsResponse - */ -export interface ListModelsResponse { - /** - * - * @type {string} - * @memberof ListModelsResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListModelsResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface Model - */ -export interface Model { - /** - * - * @type {string} - * @memberof Model - */ - 'id': string; - /** - * - * @type {string} - * @memberof Model - */ - 'object': string; - /** - * - * @type {number} - * @memberof Model - */ - 'created': number; - /** - * - * @type {string} - * @memberof Model - */ - 'owned_by': string; -} -/** - * - * @export - * @interface ModelError - */ -export interface ModelError { - /** - * - * @type {string} - * @memberof ModelError - */ - 'type': string; - /** - * - * @type {string} - * @memberof ModelError - */ - 'message': string; - /** - * - * @type {string} - * @memberof ModelError - */ - 'param': string | null; - /** - * - * @type {string} - * @memberof ModelError - */ - 'code': string | null; -} -/** - * - * @export - * @interface OpenAIFile - */ -export interface OpenAIFile { - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'id': string; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'object': string; - /** - * - * @type {number} - * @memberof OpenAIFile - */ - 'bytes': number; - /** - * - * @type {number} - * @memberof OpenAIFile - */ - 'created_at': number; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'filename': string; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'purpose': string; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'status'?: string; - /** - * - * @type {object} - * @memberof OpenAIFile - */ - 'status_details'?: object | null; -} - -/** - * OpenAIApi - axios parameter creator - * @export - */ -export const OpenAIApiAxiosParamCreator = function (configuration?: Configuration) { - return { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune: async (fineTuneId: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'fineTuneId' is not null or undefined - assertParamExists('cancelFineTune', 'fineTuneId', fineTuneId) - const localVarPath = `/fine-tunes/{fine_tune_id}/cancel` - .replace(`{${"fine_tune_id"}}`, encodeURIComponent(String(fineTuneId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer: async (createAnswerRequest: CreateAnswerRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createAnswerRequest' is not null or undefined - assertParamExists('createAnswer', 'createAnswerRequest', createAnswerRequest) - const localVarPath = `/answers`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createAnswerRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates a model response for the given chat conversation. - * @param {CreateChatCompletionRequest} createChatCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createChatCompletion: async (createChatCompletionRequest: CreateChatCompletionRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createChatCompletionRequest' is not null or undefined - assertParamExists('createChatCompletion', 'createChatCompletionRequest', createChatCompletionRequest) - const localVarPath = `/chat/completions`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createChatCompletionRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification: async (createClassificationRequest: CreateClassificationRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createClassificationRequest' is not null or undefined - assertParamExists('createClassification', 'createClassificationRequest', createClassificationRequest) - const localVarPath = `/classifications`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createClassificationRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates a completion for the provided prompt and parameters. - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion: async (createCompletionRequest: CreateCompletionRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createCompletionRequest' is not null or undefined - assertParamExists('createCompletion', 'createCompletionRequest', createCompletionRequest) - const localVarPath = `/completions`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createCompletionRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters. - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit: async (createEditRequest: CreateEditRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createEditRequest' is not null or undefined - assertParamExists('createEdit', 'createEditRequest', createEditRequest) - const localVarPath = `/edits`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createEditRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding: async (createEmbeddingRequest: CreateEmbeddingRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createEmbeddingRequest' is not null or undefined - assertParamExists('createEmbedding', 'createEmbeddingRequest', createEmbeddingRequest) - const localVarPath = `/embeddings`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createEmbeddingRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile: async (file: File, purpose: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'file' is not null or undefined - assertParamExists('createFile', 'file', file) - // verify required parameter 'purpose' is not null or undefined - assertParamExists('createFile', 'purpose', purpose) - const localVarPath = `/files`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - - - if (file !== undefined) { - localVarFormParams.append('file', file as any); - } - - if (purpose !== undefined) { - localVarFormParams.append('purpose', purpose as any); - } - - - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...localVarFormParams.getHeaders(), ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = localVarFormParams; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune: async (createFineTuneRequest: CreateFineTuneRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createFineTuneRequest' is not null or undefined - assertParamExists('createFineTune', 'createFineTuneRequest', createFineTuneRequest) - const localVarPath = `/fine-tunes`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createFineTuneRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage: async (createImageRequest: CreateImageRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createImageRequest' is not null or undefined - assertParamExists('createImage', 'createImageRequest', createImageRequest) - const localVarPath = `/images/generations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createImageRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit: async (image: File, prompt: string, mask?: File, n?: number, size?: string, responseFormat?: string, user?: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'image' is not null or undefined - assertParamExists('createImageEdit', 'image', image) - // verify required parameter 'prompt' is not null or undefined - assertParamExists('createImageEdit', 'prompt', prompt) - const localVarPath = `/images/edits`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - - - if (image !== undefined) { - localVarFormParams.append('image', image as any); - } - - if (mask !== undefined) { - localVarFormParams.append('mask', mask as any); - } - - if (prompt !== undefined) { - localVarFormParams.append('prompt', prompt as any); - } - - if (n !== undefined) { - localVarFormParams.append('n', n as any); - } - - if (size !== undefined) { - localVarFormParams.append('size', size as any); - } - - if (responseFormat !== undefined) { - localVarFormParams.append('response_format', responseFormat as any); - } - - if (user !== undefined) { - localVarFormParams.append('user', user as any); - } - - - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...localVarFormParams.getHeaders(), ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = localVarFormParams; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation: async (image: File, n?: number, size?: string, responseFormat?: string, user?: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'image' is not null or undefined - assertParamExists('createImageVariation', 'image', image) - const localVarPath = `/images/variations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - - - if (image !== undefined) { - localVarFormParams.append('image', image as any); - } - - if (n !== undefined) { - localVarFormParams.append('n', n as any); - } - - if (size !== undefined) { - localVarFormParams.append('size', size as any); - } - - if (responseFormat !== undefined) { - localVarFormParams.append('response_format', responseFormat as any); - } - - if (user !== undefined) { - localVarFormParams.append('user', user as any); - } - - - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...localVarFormParams.getHeaders(), ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = localVarFormParams; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration: async (createModerationRequest: CreateModerationRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createModerationRequest' is not null or undefined - assertParamExists('createModeration', 'createModerationRequest', createModerationRequest) - const localVarPath = `/moderations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createModerationRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch: async (engineId: string, createSearchRequest: CreateSearchRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'engineId' is not null or undefined - assertParamExists('createSearch', 'engineId', engineId) - // verify required parameter 'createSearchRequest' is not null or undefined - assertParamExists('createSearch', 'createSearchRequest', createSearchRequest) - const localVarPath = `/engines/{engine_id}/search` - .replace(`{${"engine_id"}}`, encodeURIComponent(String(engineId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createSearchRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Transcribes audio into the input language. - * @param {File} file The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranscription: async (file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, language?: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'file' is not null or undefined - assertParamExists('createTranscription', 'file', file) - // verify required parameter 'model' is not null or undefined - assertParamExists('createTranscription', 'model', model) - const localVarPath = `/audio/transcriptions`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - - - if (file !== undefined) { - localVarFormParams.append('file', file as any); - } - - if (model !== undefined) { - localVarFormParams.append('model', model as any); - } - - if (prompt !== undefined) { - localVarFormParams.append('prompt', prompt as any); - } - - if (responseFormat !== undefined) { - localVarFormParams.append('response_format', responseFormat as any); - } - - if (temperature !== undefined) { - localVarFormParams.append('temperature', temperature as any); - } - - if (language !== undefined) { - localVarFormParams.append('language', language as any); - } - - - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...localVarFormParams.getHeaders(), ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = localVarFormParams; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Translates audio into into English. - * @param {File} file The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranslation: async (file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'file' is not null or undefined - assertParamExists('createTranslation', 'file', file) - // verify required parameter 'model' is not null or undefined - assertParamExists('createTranslation', 'model', model) - const localVarPath = `/audio/translations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - - - if (file !== undefined) { - localVarFormParams.append('file', file as any); - } - - if (model !== undefined) { - localVarFormParams.append('model', model as any); - } - - if (prompt !== undefined) { - localVarFormParams.append('prompt', prompt as any); - } - - if (responseFormat !== undefined) { - localVarFormParams.append('response_format', responseFormat as any); - } - - if (temperature !== undefined) { - localVarFormParams.append('temperature', temperature as any); - } - - - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...localVarFormParams.getHeaders(), ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = localVarFormParams; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile: async (fileId: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'fileId' is not null or undefined - assertParamExists('deleteFile', 'fileId', fileId) - const localVarPath = `/files/{file_id}` - .replace(`{${"file_id"}}`, encodeURIComponent(String(fileId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'DELETE', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel: async (model: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'model' is not null or undefined - assertParamExists('deleteModel', 'model', model) - const localVarPath = `/models/{model}` - .replace(`{${"model"}}`, encodeURIComponent(String(model))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'DELETE', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile: async (fileId: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'fileId' is not null or undefined - assertParamExists('downloadFile', 'fileId', fileId) - const localVarPath = `/files/{file_id}/content` - .replace(`{${"file_id"}}`, encodeURIComponent(String(fileId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines: async (options: AxiosRequestConfig = {}): Promise => { - const localVarPath = `/engines`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles: async (options: AxiosRequestConfig = {}): Promise => { - const localVarPath = `/files`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents: async (fineTuneId: string, stream?: boolean, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'fineTuneId' is not null or undefined - assertParamExists('listFineTuneEvents', 'fineTuneId', fineTuneId) - const localVarPath = `/fine-tunes/{fine_tune_id}/events` - .replace(`{${"fine_tune_id"}}`, encodeURIComponent(String(fineTuneId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - if (stream !== undefined) { - localVarQueryParameter['stream'] = stream; - } - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes: async (options: AxiosRequestConfig = {}): Promise => { - const localVarPath = `/fine-tunes`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels: async (options: AxiosRequestConfig = {}): Promise => { - const localVarPath = `/models`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine: async (engineId: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'engineId' is not null or undefined - assertParamExists('retrieveEngine', 'engineId', engineId) - const localVarPath = `/engines/{engine_id}` - .replace(`{${"engine_id"}}`, encodeURIComponent(String(engineId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile: async (fileId: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'fileId' is not null or undefined - assertParamExists('retrieveFile', 'fileId', fileId) - const localVarPath = `/files/{file_id}` - .replace(`{${"file_id"}}`, encodeURIComponent(String(fileId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune: async (fineTuneId: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'fineTuneId' is not null or undefined - assertParamExists('retrieveFineTune', 'fineTuneId', fineTuneId) - const localVarPath = `/fine-tunes/{fine_tune_id}` - .replace(`{${"fine_tune_id"}}`, encodeURIComponent(String(fineTuneId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel: async (model: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'model' is not null or undefined - assertParamExists('retrieveModel', 'model', model) - const localVarPath = `/models/{model}` - .replace(`{${"model"}}`, encodeURIComponent(String(model))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - } -}; - -/** - * OpenAIApi - functional programming interface - * @export - */ -export const OpenAIApiFp = function(configuration?: Configuration) { - const localVarAxiosParamCreator = OpenAIApiAxiosParamCreator(configuration) - return { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async cancelFineTune(fineTuneId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.cancelFineTune(fineTuneId, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - async createAnswer(createAnswerRequest: CreateAnswerRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createAnswer(createAnswerRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates a model response for the given chat conversation. - * @param {CreateChatCompletionRequest} createChatCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createChatCompletion(createChatCompletionRequest: CreateChatCompletionRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createChatCompletion(createChatCompletionRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - async createClassification(createClassificationRequest: CreateClassificationRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createClassification(createClassificationRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates a completion for the provided prompt and parameters. - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createCompletion(createCompletionRequest: CreateCompletionRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createCompletion(createCompletionRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters. - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createEdit(createEditRequest: CreateEditRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createEdit(createEditRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createEmbedding(createEmbeddingRequest: CreateEmbeddingRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createEmbedding(createEmbeddingRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createFile(file: File, purpose: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createFile(file, purpose, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createFineTune(createFineTuneRequest: CreateFineTuneRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createFineTune(createFineTuneRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createImage(createImageRequest: CreateImageRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createImage(createImageRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createImageEdit(image: File, prompt: string, mask?: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createImageEdit(image, prompt, mask, n, size, responseFormat, user, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createImageVariation(image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createImageVariation(image, n, size, responseFormat, user, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createModeration(createModerationRequest: CreateModerationRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createModeration(createModerationRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - async createSearch(engineId: string, createSearchRequest: CreateSearchRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createSearch(engineId, createSearchRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Transcribes audio into the input language. - * @param {File} file The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createTranscription(file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, language?: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createTranscription(file, model, prompt, responseFormat, temperature, language, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Translates audio into into English. - * @param {File} file The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createTranslation(file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createTranslation(file, model, prompt, responseFormat, temperature, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async deleteFile(fileId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.deleteFile(fileId, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async deleteModel(model: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.deleteModel(model, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async downloadFile(fileId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.downloadFile(fileId, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - async listEngines(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.listEngines(options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async listFiles(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.listFiles(options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async listFineTuneEvents(fineTuneId: string, stream?: boolean, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.listFineTuneEvents(fineTuneId, stream, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async listFineTunes(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.listFineTunes(options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async listModels(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.listModels(options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - async retrieveEngine(engineId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.retrieveEngine(engineId, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async retrieveFile(fileId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.retrieveFile(fileId, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async retrieveFineTune(fineTuneId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.retrieveFineTune(fineTuneId, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async retrieveModel(model: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.retrieveModel(model, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - } -}; - -/** - * OpenAIApi - factory interface - * @export - */ -export const OpenAIApiFactory = function (configuration?: Configuration, basePath?: string, axios?: AxiosInstance) { - const localVarFp = OpenAIApiFp(configuration) - return { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune(fineTuneId: string, options?: any): AxiosPromise { - return localVarFp.cancelFineTune(fineTuneId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer(createAnswerRequest: CreateAnswerRequest, options?: any): AxiosPromise { - return localVarFp.createAnswer(createAnswerRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a model response for the given chat conversation. - * @param {CreateChatCompletionRequest} createChatCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createChatCompletion(createChatCompletionRequest: CreateChatCompletionRequest, options?: any): AxiosPromise { - return localVarFp.createChatCompletion(createChatCompletionRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification(createClassificationRequest: CreateClassificationRequest, options?: any): AxiosPromise { - return localVarFp.createClassification(createClassificationRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a completion for the provided prompt and parameters. - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion(createCompletionRequest: CreateCompletionRequest, options?: any): AxiosPromise { - return localVarFp.createCompletion(createCompletionRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters. - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit(createEditRequest: CreateEditRequest, options?: any): AxiosPromise { - return localVarFp.createEdit(createEditRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding(createEmbeddingRequest: CreateEmbeddingRequest, options?: any): AxiosPromise { - return localVarFp.createEmbedding(createEmbeddingRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile(file: File, purpose: string, options?: any): AxiosPromise { - return localVarFp.createFile(file, purpose, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune(createFineTuneRequest: CreateFineTuneRequest, options?: any): AxiosPromise { - return localVarFp.createFineTune(createFineTuneRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage(createImageRequest: CreateImageRequest, options?: any): AxiosPromise { - return localVarFp.createImage(createImageRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit(image: File, prompt: string, mask?: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: any): AxiosPromise { - return localVarFp.createImageEdit(image, prompt, mask, n, size, responseFormat, user, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation(image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: any): AxiosPromise { - return localVarFp.createImageVariation(image, n, size, responseFormat, user, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration(createModerationRequest: CreateModerationRequest, options?: any): AxiosPromise { - return localVarFp.createModeration(createModerationRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch(engineId: string, createSearchRequest: CreateSearchRequest, options?: any): AxiosPromise { - return localVarFp.createSearch(engineId, createSearchRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Transcribes audio into the input language. - * @param {File} file The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranscription(file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, language?: string, options?: any): AxiosPromise { - return localVarFp.createTranscription(file, model, prompt, responseFormat, temperature, language, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Translates audio into into English. - * @param {File} file The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranslation(file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, options?: any): AxiosPromise { - return localVarFp.createTranslation(file, model, prompt, responseFormat, temperature, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile(fileId: string, options?: any): AxiosPromise { - return localVarFp.deleteFile(fileId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel(model: string, options?: any): AxiosPromise { - return localVarFp.deleteModel(model, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile(fileId: string, options?: any): AxiosPromise { - return localVarFp.downloadFile(fileId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines(options?: any): AxiosPromise { - return localVarFp.listEngines(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles(options?: any): AxiosPromise { - return localVarFp.listFiles(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents(fineTuneId: string, stream?: boolean, options?: any): AxiosPromise { - return localVarFp.listFineTuneEvents(fineTuneId, stream, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes(options?: any): AxiosPromise { - return localVarFp.listFineTunes(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels(options?: any): AxiosPromise { - return localVarFp.listModels(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine(engineId: string, options?: any): AxiosPromise { - return localVarFp.retrieveEngine(engineId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile(fileId: string, options?: any): AxiosPromise { - return localVarFp.retrieveFile(fileId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune(fineTuneId: string, options?: any): AxiosPromise { - return localVarFp.retrieveFineTune(fineTuneId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel(model: string, options?: any): AxiosPromise { - return localVarFp.retrieveModel(model, options).then((request) => request(axios, basePath)); - }, - }; -}; - -/** - * OpenAIApi - object-oriented interface - * @export - * @class OpenAIApi - * @extends {BaseAPI} - */ -export class OpenAIApi extends BaseAPI { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public cancelFineTune(fineTuneId: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).cancelFineTune(fineTuneId, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createAnswer(createAnswerRequest: CreateAnswerRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createAnswer(createAnswerRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates a model response for the given chat conversation. - * @param {CreateChatCompletionRequest} createChatCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createChatCompletion(createChatCompletionRequest: CreateChatCompletionRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createChatCompletion(createChatCompletionRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createClassification(createClassificationRequest: CreateClassificationRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createClassification(createClassificationRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates a completion for the provided prompt and parameters. - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createCompletion(createCompletionRequest: CreateCompletionRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createCompletion(createCompletionRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters. - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createEdit(createEditRequest: CreateEditRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createEdit(createEditRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createEmbedding(createEmbeddingRequest: CreateEmbeddingRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createEmbedding(createEmbeddingRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createFile(file: File, purpose: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createFile(file, purpose, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createFineTune(createFineTuneRequest: CreateFineTuneRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createFineTune(createFineTuneRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createImage(createImageRequest: CreateImageRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createImage(createImageRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createImageEdit(image: File, prompt: string, mask?: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createImageEdit(image, prompt, mask, n, size, responseFormat, user, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createImageVariation(image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createImageVariation(image, n, size, responseFormat, user, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createModeration(createModerationRequest: CreateModerationRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createModeration(createModerationRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createSearch(engineId: string, createSearchRequest: CreateSearchRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createSearch(engineId, createSearchRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Transcribes audio into the input language. - * @param {File} file The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createTranscription(file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, language?: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createTranscription(file, model, prompt, responseFormat, temperature, language, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Translates audio into into English. - * @param {File} file The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createTranslation(file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createTranslation(file, model, prompt, responseFormat, temperature, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public deleteFile(fileId: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).deleteFile(fileId, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public deleteModel(model: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).deleteModel(model, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public downloadFile(fileId: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).downloadFile(fileId, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public listEngines(options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).listEngines(options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public listFiles(options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).listFiles(options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public listFineTuneEvents(fineTuneId: string, stream?: boolean, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).listFineTuneEvents(fineTuneId, stream, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public listFineTunes(options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).listFineTunes(options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public listModels(options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).listModels(options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public retrieveEngine(engineId: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).retrieveEngine(engineId, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public retrieveFile(fileId: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).retrieveFile(fileId, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public retrieveFineTune(fineTuneId: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).retrieveFineTune(fineTuneId, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public retrieveModel(model: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).retrieveModel(model, options).then((request) => request(this.axios, this.basePath)); - } -} - - diff --git a/base.ts b/base.ts deleted file mode 100644 index a2c5eb0d4..000000000 --- a/base.ts +++ /dev/null @@ -1,72 +0,0 @@ -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ - - -import type { Configuration } from './configuration'; -// Some imports not used depending on template conditions -// @ts-ignore -import type { AxiosPromise, AxiosInstance, AxiosRequestConfig } from 'axios'; -import globalAxios from 'axios'; - -export const BASE_PATH = "https://api.openai.com/v1".replace(/\/+$/, ""); - -/** - * - * @export - */ -export const COLLECTION_FORMATS = { - csv: ",", - ssv: " ", - tsv: "\t", - pipes: "|", -}; - -/** - * - * @export - * @interface RequestArgs - */ -export interface RequestArgs { - url: string; - options: AxiosRequestConfig; -} - -/** - * - * @export - * @class BaseAPI - */ -export class BaseAPI { - protected configuration: Configuration | undefined; - - constructor(configuration?: Configuration, protected basePath: string = BASE_PATH, protected axios: AxiosInstance = globalAxios) { - if (configuration) { - this.configuration = configuration; - this.basePath = configuration.basePath || this.basePath; - } - } -}; - -/** - * - * @export - * @class RequiredError - * @extends {Error} - */ -export class RequiredError extends Error { - constructor(public field: string, msg?: string) { - super(msg); - this.name = "RequiredError" - } -} diff --git a/bin/check-test-server b/bin/check-test-server new file mode 100755 index 000000000..34efa9dac --- /dev/null +++ b/bin/check-test-server @@ -0,0 +1,50 @@ +#!/usr/bin/env bash + +RED='\033[0;31m' +GREEN='\033[0;32m' +YELLOW='\033[0;33m' +NC='\033[0m' # No Color + +function prism_is_running() { + curl --silent "http://localhost:4010" >/dev/null 2>&1 +} + +function is_overriding_api_base_url() { + [ -n "$API_BASE_URL" ] +} + +if is_overriding_api_base_url ; then + # If someone is running the tests against the live API, we can trust they know + # what they're doing and exit early. + echo -e "${GREEN}✔ Running tests against ${API_BASE_URL}${NC}" + + exit 0 +elif prism_is_running ; then + echo -e "${GREEN}✔ Mock prism server is running with your OpenAPI spec${NC}" + echo + + exit 0 +else + echo -e "${RED}ERROR:${NC} The test suite will not run without a mock Prism server" + echo -e "running against your OpenAPI spec." + echo + echo -e "${YELLOW}To fix:${NC}" + echo + echo -e "1. Install Prism (requires Node 16+):" + echo + echo -e " With npm:" + echo -e " \$ ${YELLOW}npm install -g @stoplight/prism-cli${NC}" + echo + echo -e " With yarn:" + echo -e " \$ ${YELLOW}yarn global add @stoplight/prism-cli${NC}" + echo + echo -e "2. Run the mock server" + echo + echo -e " To run the server, pass in the path of your OpenAPI" + echo -e " spec to the prism command:" + echo + echo -e " \$ ${YELLOW}prism mock path/to/your.openapi.yml${NC}" + echo + + exit 1 +fi diff --git a/bin/cli b/bin/cli new file mode 100755 index 000000000..c2d110f19 --- /dev/null +++ b/bin/cli @@ -0,0 +1,21 @@ +#!/usr/bin/env bash +set -eou pipefail + +if [ $# -eq 0 ]; then + echo "Usage: $0 " + echo + echo "Subcommands:" + echo " migrate Run migrations to update from openai v3 to v4" + echo + exit 1 +fi + +if [ "$1" = "migrate" ]; then + echo "This automatic code migration is provided by grit.io" + echo "Visit https://app.grit.io/studio?preset=openai_v4 for more details." + shift + npx -y @getgrit/launcher apply openai_v4 "$@" +else + echo "Unknown subcommand $1; Expected 'migrate'" >&2 + exit 1 +fi diff --git a/build b/build new file mode 100755 index 000000000..85312ce8e --- /dev/null +++ b/build @@ -0,0 +1,59 @@ +#!/usr/bin/env bash +set -exuo pipefail + +node scripts/check-version.cjs + +# Build into dist and will publish the package from there, +# so that src/resources/foo.ts becomes /resources/foo.js +# This way importing from `"openai/resources/foo"` works +# even with `"moduleResolution": "node"` + +rm -rf dist; mkdir dist +# Copy src to dist/src and build from dist/src into dist, so that +# the source map for index.js.map will refer to ./src/index.ts etc +cp -rp src README.md dist +for file in LICENSE CHANGELOG.md; do + if [ -e "${file}" ]; then cp "${file}" dist; fi +done +if [ -e "bin/cli" ]; then + mkdir dist/bin + cp -p "bin/cli" dist/bin/; +fi +# this converts the export map paths for the dist directory +# and does a few other minor things +node scripts/make-dist-package-json.cjs > dist/package.json + +# build to .js/.mjs/.d.ts files +npm exec tsc-multi +# copy over handwritten .js/.mjs/.d.ts files +cp src/_shims/*.{d.ts,js,mjs} dist/_shims +npm exec tsc-alias -- -p tsconfig.build.json +# we need to add exports = module.exports = OpenAI Node to index.js; +# No way to get that from index.ts because it would cause compile errors +# when building .mjs +node scripts/fix-index-exports.cjs +# with "moduleResolution": "nodenext", if ESM resolves to index.d.ts, +# it'll have TS errors on the default import. But if it resolves to +# index.d.mts the default import will work (even though both files have +# the same export default statement) +cp dist/index.d.ts dist/index.d.mts + +SED=(sed -i) +if [[ "$OSTYPE" == "darwin"* ]]; then SED=(sed -i ''); fi + +# strip out lib="dom" and types="node" references; these are needed at build time, +# but would pollute the user's TS environment +REFERENCE_SUBS='s/^ *\/\/\/ * /dev/null && [ -e ./build-deno ] +then + ./build-deno +fi diff --git a/common.ts b/common.ts deleted file mode 100644 index 37662811c..000000000 --- a/common.ts +++ /dev/null @@ -1,150 +0,0 @@ -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ - - -import type { Configuration } from "./configuration"; -import type { RequestArgs } from "./base"; -import type { AxiosInstance, AxiosResponse } from 'axios'; -import { RequiredError } from "./base"; - -/** - * - * @export - */ -export const DUMMY_BASE_URL = 'https://example.com' - -/** - * - * @throws {RequiredError} - * @export - */ -export const assertParamExists = function (functionName: string, paramName: string, paramValue: unknown) { - if (paramValue === null || paramValue === undefined) { - throw new RequiredError(paramName, `Required parameter ${paramName} was null or undefined when calling ${functionName}.`); - } -} - -/** - * - * @export - */ -export const setApiKeyToObject = async function (object: any, keyParamName: string, configuration?: Configuration) { - if (configuration && configuration.apiKey) { - const localVarApiKeyValue = typeof configuration.apiKey === 'function' - ? await configuration.apiKey(keyParamName) - : await configuration.apiKey; - object[keyParamName] = localVarApiKeyValue; - } -} - -/** - * - * @export - */ -export const setBasicAuthToObject = function (object: any, configuration?: Configuration) { - if (configuration && (configuration.username || configuration.password)) { - object["auth"] = { username: configuration.username, password: configuration.password }; - } -} - -/** - * - * @export - */ -export const setBearerAuthToObject = async function (object: any, configuration?: Configuration) { - if (configuration && configuration.accessToken) { - const accessToken = typeof configuration.accessToken === 'function' - ? await configuration.accessToken() - : await configuration.accessToken; - object["Authorization"] = "Bearer " + accessToken; - } -} - -/** - * - * @export - */ -export const setOAuthToObject = async function (object: any, name: string, scopes: string[], configuration?: Configuration) { - if (configuration && configuration.accessToken) { - const localVarAccessTokenValue = typeof configuration.accessToken === 'function' - ? await configuration.accessToken(name, scopes) - : await configuration.accessToken; - object["Authorization"] = "Bearer " + localVarAccessTokenValue; - } -} - -function setFlattenedQueryParams(urlSearchParams: URLSearchParams, parameter: any, key: string = ""): void { - if (parameter == null) return; - if (typeof parameter === "object") { - if (Array.isArray(parameter)) { - (parameter as any[]).forEach(item => setFlattenedQueryParams(urlSearchParams, item, key)); - } - else { - Object.keys(parameter).forEach(currentKey => - setFlattenedQueryParams(urlSearchParams, parameter[currentKey], `${key}${key !== '' ? '.' : ''}${currentKey}`) - ); - } - } - else { - if (urlSearchParams.has(key)) { - urlSearchParams.append(key, parameter); - } - else { - urlSearchParams.set(key, parameter); - } - } -} - -/** - * - * @export - */ -export const setSearchParams = function (url: URL, ...objects: any[]) { - const searchParams = new URLSearchParams(url.search); - setFlattenedQueryParams(searchParams, objects); - url.search = searchParams.toString(); -} - -/** - * - * @export - */ -export const serializeDataIfNeeded = function (value: any, requestOptions: any, configuration?: Configuration) { - const nonString = typeof value !== 'string'; - const needsSerialization = nonString && configuration && configuration.isJsonMime - ? configuration.isJsonMime(requestOptions.headers['Content-Type']) - : nonString; - return needsSerialization - ? JSON.stringify(value !== undefined ? value : {}) - : (value || ""); -} - -/** - * - * @export - */ -export const toPathString = function (url: URL) { - return url.pathname + url.search + url.hash -} - -/** - * - * @export - */ -export const createRequestFunction = function (axiosArgs: RequestArgs, globalAxios: AxiosInstance, BASE_PATH: string, configuration?: Configuration) { - return >(axios: AxiosInstance = globalAxios, basePath: string = BASE_PATH) => { - const axiosRequestArgs = {...axiosArgs.options, url: (configuration?.basePath || basePath) + axiosArgs.url}; - return axios.request(axiosRequestArgs); - }; -} diff --git a/configuration.ts b/configuration.ts deleted file mode 100644 index 32127174c..000000000 --- a/configuration.ts +++ /dev/null @@ -1,127 +0,0 @@ -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ - - -const packageJson = require("../package.json"); - -export interface ConfigurationParameters { - apiKey?: string | Promise | ((name: string) => string) | ((name: string) => Promise); - organization?: string; - username?: string; - password?: string; - accessToken?: string | Promise | ((name?: string, scopes?: string[]) => string) | ((name?: string, scopes?: string[]) => Promise); - basePath?: string; - baseOptions?: any; - formDataCtor?: new () => any; -} - -export class Configuration { - /** - * parameter for apiKey security - * @param name security name - * @memberof Configuration - */ - apiKey?: string | Promise | ((name: string) => string) | ((name: string) => Promise); - /** - * OpenAI organization id - * - * @type {string} - * @memberof Configuration - */ - organization?: string; - /** - * parameter for basic security - * - * @type {string} - * @memberof Configuration - */ - username?: string; - /** - * parameter for basic security - * - * @type {string} - * @memberof Configuration - */ - password?: string; - /** - * parameter for oauth2 security - * @param name security name - * @param scopes oauth2 scope - * @memberof Configuration - */ - accessToken?: string | Promise | ((name?: string, scopes?: string[]) => string) | ((name?: string, scopes?: string[]) => Promise); - /** - * override base path - * - * @type {string} - * @memberof Configuration - */ - basePath?: string; - /** - * base options for axios calls - * - * @type {any} - * @memberof Configuration - */ - baseOptions?: any; - /** - * The FormData constructor that will be used to create multipart form data - * requests. You can inject this here so that execution environments that - * do not support the FormData class can still run the generated client. - * - * @type {new () => FormData} - */ - formDataCtor?: new () => any; - - constructor(param: ConfigurationParameters = {}) { - this.apiKey = param.apiKey; - this.organization = param.organization; - this.username = param.username; - this.password = param.password; - this.accessToken = param.accessToken; - this.basePath = param.basePath; - this.baseOptions = param.baseOptions; - this.formDataCtor = param.formDataCtor; - - if (!this.baseOptions) { - this.baseOptions = {}; - } - this.baseOptions.headers = { - 'User-Agent': `OpenAI/NodeJS/${packageJson.version}`, - 'Authorization': `Bearer ${this.apiKey}`, - ...this.baseOptions.headers, - } - if (this.organization) { - this.baseOptions.headers['OpenAI-Organization'] = this.organization; - } - if (!this.formDataCtor) { - this.formDataCtor = require("form-data"); - } - } - - /** - * Check if the given MIME is a JSON MIME. - * JSON MIME examples: - * application/json - * application/json; charset=UTF8 - * APPLICATION/JSON - * application/vnd.company+json - * @param mime - MIME (Multipurpose Internet Mail Extensions) - * @return True if the given MIME is JSON, false otherwise. - */ - public isJsonMime(mime: string): boolean { - const jsonMime: RegExp = new RegExp('^(application\/json|[^;/ \t]+\/[^;/ \t]+[+]json)[ \t]*(;.*)?$', 'i'); - return mime !== null && (jsonMime.test(mime) || mime.toLowerCase() === 'application/json-patch+json'); - } -} \ No newline at end of file diff --git a/dist/api.d.ts b/dist/api.d.ts deleted file mode 100644 index d862f2bcb..000000000 --- a/dist/api.d.ts +++ /dev/null @@ -1,3003 +0,0 @@ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -import type { Configuration } from './configuration'; -import type { AxiosPromise, AxiosInstance, AxiosRequestConfig } from 'axios'; -import type { RequestArgs } from './base'; -import { BaseAPI } from './base'; -/** - * - * @export - * @interface ChatCompletionFunctions - */ -export interface ChatCompletionFunctions { - /** - * The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - * @type {string} - * @memberof ChatCompletionFunctions - */ - 'name': string; - /** - * The description of what the function does. - * @type {string} - * @memberof ChatCompletionFunctions - */ - 'description'?: string; - /** - * The parameters the functions accepts, described as a JSON Schema object. See the [guide](/docs/guides/gpt/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. - * @type {{ [key: string]: any; }} - * @memberof ChatCompletionFunctions - */ - 'parameters'?: { - [key: string]: any; - }; -} -/** - * - * @export - * @interface ChatCompletionRequestMessage - */ -export interface ChatCompletionRequestMessage { - /** - * The role of the messages author. One of `system`, `user`, `assistant`, or `function`. - * @type {string} - * @memberof ChatCompletionRequestMessage - */ - 'role': ChatCompletionRequestMessageRoleEnum; - /** - * The contents of the message. `content` is required for all messages except assistant messages with function calls. - * @type {string} - * @memberof ChatCompletionRequestMessage - */ - 'content'?: string; - /** - * The name of the author of this message. `name` is required if role is `function`, and it should be the name of the function whose response is in the `content`. May contain a-z, A-Z, 0-9, and underscores, with a maximum length of 64 characters. - * @type {string} - * @memberof ChatCompletionRequestMessage - */ - 'name'?: string; - /** - * - * @type {ChatCompletionRequestMessageFunctionCall} - * @memberof ChatCompletionRequestMessage - */ - 'function_call'?: ChatCompletionRequestMessageFunctionCall; -} -export declare const ChatCompletionRequestMessageRoleEnum: { - readonly System: "system"; - readonly User: "user"; - readonly Assistant: "assistant"; - readonly Function: "function"; -}; -export declare type ChatCompletionRequestMessageRoleEnum = typeof ChatCompletionRequestMessageRoleEnum[keyof typeof ChatCompletionRequestMessageRoleEnum]; -/** - * The name and arguments of a function that should be called, as generated by the model. - * @export - * @interface ChatCompletionRequestMessageFunctionCall - */ -export interface ChatCompletionRequestMessageFunctionCall { - /** - * The name of the function to call. - * @type {string} - * @memberof ChatCompletionRequestMessageFunctionCall - */ - 'name'?: string; - /** - * The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. - * @type {string} - * @memberof ChatCompletionRequestMessageFunctionCall - */ - 'arguments'?: string; -} -/** - * - * @export - * @interface ChatCompletionResponseMessage - */ -export interface ChatCompletionResponseMessage { - /** - * The role of the author of this message. - * @type {string} - * @memberof ChatCompletionResponseMessage - */ - 'role': ChatCompletionResponseMessageRoleEnum; - /** - * The contents of the message. - * @type {string} - * @memberof ChatCompletionResponseMessage - */ - 'content'?: string; - /** - * - * @type {ChatCompletionRequestMessageFunctionCall} - * @memberof ChatCompletionResponseMessage - */ - 'function_call'?: ChatCompletionRequestMessageFunctionCall; -} -export declare const ChatCompletionResponseMessageRoleEnum: { - readonly System: "system"; - readonly User: "user"; - readonly Assistant: "assistant"; - readonly Function: "function"; -}; -export declare type ChatCompletionResponseMessageRoleEnum = typeof ChatCompletionResponseMessageRoleEnum[keyof typeof ChatCompletionResponseMessageRoleEnum]; -/** - * - * @export - * @interface CreateAnswerRequest - */ -export interface CreateAnswerRequest { - /** - * ID of the model to use for completion. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'model': string; - /** - * Question to get answered. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'question': string; - /** - * List of (question, answer) pairs that will help steer the model towards the tone and answer format you\'d like. We recommend adding 2 to 3 examples. - * @type {Array} - * @memberof CreateAnswerRequest - */ - 'examples': Array; - /** - * A text snippet containing the contextual information used to generate the answers for the `examples` you provide. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'examples_context': string; - /** - * List of documents from which the answer for the input `question` should be derived. If this is an empty list, the question will be answered based on the question-answer examples. You should specify either `documents` or a `file`, but not both. - * @type {Array} - * @memberof CreateAnswerRequest - */ - 'documents'?: Array | null; - /** - * The ID of an uploaded file that contains documents to search over. See [upload file](/docs/api-reference/files/upload) for how to upload a file of the desired format and purpose. You should specify either `documents` or a `file`, but not both. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'file'?: string | null; - /** - * ID of the model to use for [Search](/docs/api-reference/searches/create). You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'search_model'?: string | null; - /** - * The maximum number of documents to be ranked by [Search](/docs/api-reference/searches/create) when using `file`. Setting it to a higher value leads to improved accuracy but with increased latency and cost. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'max_rerank'?: number | null; - /** - * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'temperature'?: number | null; - /** - * Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. When `logprobs` is set, `completion` will be automatically added into `expand` to get the logprobs. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'logprobs'?: number | null; - /** - * The maximum number of tokens allowed for the generated answer - * @type {number} - * @memberof CreateAnswerRequest - */ - 'max_tokens'?: number | null; - /** - * - * @type {CreateAnswerRequestStop} - * @memberof CreateAnswerRequest - */ - 'stop'?: CreateAnswerRequestStop | null; - /** - * How many answers to generate for each question. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'n'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated. - * @type {object} - * @memberof CreateAnswerRequest - */ - 'logit_bias'?: object | null; - /** - * A special boolean flag for showing metadata. If set to `true`, each document entry in the returned JSON will contain a \"metadata\" field. This flag only takes effect when `file` is set. - * @type {boolean} - * @memberof CreateAnswerRequest - */ - 'return_metadata'?: boolean | null; - /** - * If set to `true`, the returned JSON will include a \"prompt\" field containing the final prompt that was used to request a completion. This is mainly useful for debugging purposes. - * @type {boolean} - * @memberof CreateAnswerRequest - */ - 'return_prompt'?: boolean | null; - /** - * If an object name is in the list, we provide the full information of the object; otherwise, we only provide the object ID. Currently we support `completion` and `file` objects for expansion. - * @type {Array} - * @memberof CreateAnswerRequest - */ - 'expand'?: Array | null; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateAnswerRequest - */ - 'user'?: string; -} -/** - * @type CreateAnswerRequestStop - * Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. - * @export - */ -export declare type CreateAnswerRequestStop = Array | string; -/** - * - * @export - * @interface CreateAnswerResponse - */ -export interface CreateAnswerResponse { - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'object'?: string; - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'model'?: string; - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'search_model'?: string; - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'completion'?: string; - /** - * - * @type {Array} - * @memberof CreateAnswerResponse - */ - 'answers'?: Array; - /** - * - * @type {Array} - * @memberof CreateAnswerResponse - */ - 'selected_documents'?: Array; -} -/** - * - * @export - * @interface CreateAnswerResponseSelectedDocumentsInner - */ -export interface CreateAnswerResponseSelectedDocumentsInner { - /** - * - * @type {number} - * @memberof CreateAnswerResponseSelectedDocumentsInner - */ - 'document'?: number; - /** - * - * @type {string} - * @memberof CreateAnswerResponseSelectedDocumentsInner - */ - 'text'?: string; -} -/** - * - * @export - * @interface CreateChatCompletionRequest - */ -export interface CreateChatCompletionRequest { - /** - * ID of the model to use. See the [model endpoint compatibility](/docs/models/model-endpoint-compatibility) table for details on which models work with the Chat API. - * @type {string} - * @memberof CreateChatCompletionRequest - */ - 'model': string; - /** - * A list of messages comprising the conversation so far. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb). - * @type {Array} - * @memberof CreateChatCompletionRequest - */ - 'messages': Array; - /** - * A list of functions the model may generate JSON inputs for. - * @type {Array} - * @memberof CreateChatCompletionRequest - */ - 'functions'?: Array; - /** - * - * @type {CreateChatCompletionRequestFunctionCall} - * @memberof CreateChatCompletionRequest - */ - 'function_call'?: CreateChatCompletionRequestFunctionCall; - /** - * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both. - * @type {number} - * @memberof CreateChatCompletionRequest - */ - 'temperature'?: number | null; - /** - * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. - * @type {number} - * @memberof CreateChatCompletionRequest - */ - 'top_p'?: number | null; - /** - * How many chat completion choices to generate for each input message. - * @type {number} - * @memberof CreateChatCompletionRequest - */ - 'n'?: number | null; - /** - * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb). - * @type {boolean} - * @memberof CreateChatCompletionRequest - */ - 'stream'?: boolean | null; - /** - * - * @type {CreateChatCompletionRequestStop} - * @memberof CreateChatCompletionRequest - */ - 'stop'?: CreateChatCompletionRequestStop; - /** - * The maximum number of [tokens](/tokenizer) to generate in the chat completion. The total length of input tokens and generated tokens is limited by the model\'s context length. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) for counting tokens. - * @type {number} - * @memberof CreateChatCompletionRequest - */ - 'max_tokens'?: number; - /** - * Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) - * @type {number} - * @memberof CreateChatCompletionRequest - */ - 'presence_penalty'?: number | null; - /** - * Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) - * @type {number} - * @memberof CreateChatCompletionRequest - */ - 'frequency_penalty'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. - * @type {object} - * @memberof CreateChatCompletionRequest - */ - 'logit_bias'?: object | null; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateChatCompletionRequest - */ - 'user'?: string; -} -/** - * @type CreateChatCompletionRequestFunctionCall - * Controls how the model responds to function calls. \"none\" means the model does not call a function, and responds to the end-user. \"auto\" means the model can pick between an end-user or calling a function. Specifying a particular function via `{\"name\":\\ \"my_function\"}` forces the model to call that function. \"none\" is the default when no functions are present. \"auto\" is the default if functions are present. - * @export - */ -export declare type CreateChatCompletionRequestFunctionCall = CreateChatCompletionRequestFunctionCallOneOf | string; -/** - * - * @export - * @interface CreateChatCompletionRequestFunctionCallOneOf - */ -export interface CreateChatCompletionRequestFunctionCallOneOf { - /** - * The name of the function to call. - * @type {string} - * @memberof CreateChatCompletionRequestFunctionCallOneOf - */ - 'name': string; -} -/** - * @type CreateChatCompletionRequestStop - * Up to 4 sequences where the API will stop generating further tokens. - * @export - */ -export declare type CreateChatCompletionRequestStop = Array | string; -/** - * - * @export - * @interface CreateChatCompletionResponse - */ -export interface CreateChatCompletionResponse { - /** - * - * @type {string} - * @memberof CreateChatCompletionResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof CreateChatCompletionResponse - */ - 'object': string; - /** - * - * @type {number} - * @memberof CreateChatCompletionResponse - */ - 'created': number; - /** - * - * @type {string} - * @memberof CreateChatCompletionResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateChatCompletionResponse - */ - 'choices': Array; - /** - * - * @type {CreateCompletionResponseUsage} - * @memberof CreateChatCompletionResponse - */ - 'usage'?: CreateCompletionResponseUsage; -} -/** - * - * @export - * @interface CreateChatCompletionResponseChoicesInner - */ -export interface CreateChatCompletionResponseChoicesInner { - /** - * - * @type {number} - * @memberof CreateChatCompletionResponseChoicesInner - */ - 'index'?: number; - /** - * - * @type {ChatCompletionResponseMessage} - * @memberof CreateChatCompletionResponseChoicesInner - */ - 'message'?: ChatCompletionResponseMessage; - /** - * - * @type {string} - * @memberof CreateChatCompletionResponseChoicesInner - */ - 'finish_reason'?: string; -} -/** - * - * @export - * @interface CreateClassificationRequest - */ -export interface CreateClassificationRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'model': string; - /** - * Query to be classified. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'query': string; - /** - * A list of examples with labels, in the following format: `[[\"The movie is so interesting.\", \"Positive\"], [\"It is quite boring.\", \"Negative\"], ...]` All the label strings will be normalized to be capitalized. You should specify either `examples` or `file`, but not both. - * @type {Array} - * @memberof CreateClassificationRequest - */ - 'examples'?: Array | null; - /** - * The ID of the uploaded file that contains training examples. See [upload file](/docs/api-reference/files/upload) for how to upload a file of the desired format and purpose. You should specify either `examples` or `file`, but not both. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'file'?: string | null; - /** - * The set of categories being classified. If not specified, candidate labels will be automatically collected from the examples you provide. All the label strings will be normalized to be capitalized. - * @type {Array} - * @memberof CreateClassificationRequest - */ - 'labels'?: Array | null; - /** - * ID of the model to use for [Search](/docs/api-reference/searches/create). You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'search_model'?: string | null; - /** - * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - * @type {number} - * @memberof CreateClassificationRequest - */ - 'temperature'?: number | null; - /** - * Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. When `logprobs` is set, `completion` will be automatically added into `expand` to get the logprobs. - * @type {number} - * @memberof CreateClassificationRequest - */ - 'logprobs'?: number | null; - /** - * The maximum number of examples to be ranked by [Search](/docs/api-reference/searches/create) when using `file`. Setting it to a higher value leads to improved accuracy but with increased latency and cost. - * @type {number} - * @memberof CreateClassificationRequest - */ - 'max_examples'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated. - * @type {object} - * @memberof CreateClassificationRequest - */ - 'logit_bias'?: object | null; - /** - * If set to `true`, the returned JSON will include a \"prompt\" field containing the final prompt that was used to request a completion. This is mainly useful for debugging purposes. - * @type {boolean} - * @memberof CreateClassificationRequest - */ - 'return_prompt'?: boolean | null; - /** - * A special boolean flag for showing metadata. If set to `true`, each document entry in the returned JSON will contain a \"metadata\" field. This flag only takes effect when `file` is set. - * @type {boolean} - * @memberof CreateClassificationRequest - */ - 'return_metadata'?: boolean | null; - /** - * If an object name is in the list, we provide the full information of the object; otherwise, we only provide the object ID. Currently we support `completion` and `file` objects for expansion. - * @type {Array} - * @memberof CreateClassificationRequest - */ - 'expand'?: Array | null; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateClassificationRequest - */ - 'user'?: string; -} -/** - * - * @export - * @interface CreateClassificationResponse - */ -export interface CreateClassificationResponse { - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'object'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'model'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'search_model'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'completion'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'label'?: string; - /** - * - * @type {Array} - * @memberof CreateClassificationResponse - */ - 'selected_examples'?: Array; -} -/** - * - * @export - * @interface CreateClassificationResponseSelectedExamplesInner - */ -export interface CreateClassificationResponseSelectedExamplesInner { - /** - * - * @type {number} - * @memberof CreateClassificationResponseSelectedExamplesInner - */ - 'document'?: number; - /** - * - * @type {string} - * @memberof CreateClassificationResponseSelectedExamplesInner - */ - 'text'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponseSelectedExamplesInner - */ - 'label'?: string; -} -/** - * - * @export - * @interface CreateCompletionRequest - */ -export interface CreateCompletionRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateCompletionRequest - */ - 'model': string; - /** - * - * @type {CreateCompletionRequestPrompt} - * @memberof CreateCompletionRequest - */ - 'prompt'?: CreateCompletionRequestPrompt | null; - /** - * The suffix that comes after a completion of inserted text. - * @type {string} - * @memberof CreateCompletionRequest - */ - 'suffix'?: string | null; - /** - * The maximum number of [tokens](/tokenizer) to generate in the completion. The token count of your prompt plus `max_tokens` cannot exceed the model\'s context length. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) for counting tokens. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'max_tokens'?: number | null; - /** - * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'temperature'?: number | null; - /** - * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'top_p'?: number | null; - /** - * How many completions to generate for each prompt. **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'n'?: number | null; - /** - * Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb). - * @type {boolean} - * @memberof CreateCompletionRequest - */ - 'stream'?: boolean | null; - /** - * Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'logprobs'?: number | null; - /** - * Echo back the prompt in addition to the completion - * @type {boolean} - * @memberof CreateCompletionRequest - */ - 'echo'?: boolean | null; - /** - * - * @type {CreateCompletionRequestStop} - * @memberof CreateCompletionRequest - */ - 'stop'?: CreateCompletionRequestStop | null; - /** - * Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) - * @type {number} - * @memberof CreateCompletionRequest - */ - 'presence_penalty'?: number | null; - /** - * Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) - * @type {number} - * @memberof CreateCompletionRequest - */ - 'frequency_penalty'?: number | null; - /** - * Generates `best_of` completions server-side and returns the \"best\" (the one with the highest log probability per token). Results cannot be streamed. When used with `n`, `best_of` controls the number of candidate completions and `n` specifies how many to return – `best_of` must be greater than `n`. **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'best_of'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated. - * @type {object} - * @memberof CreateCompletionRequest - */ - 'logit_bias'?: object | null; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateCompletionRequest - */ - 'user'?: string; -} -/** - * @type CreateCompletionRequestPrompt - * The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays. Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document. - * @export - */ -export declare type CreateCompletionRequestPrompt = Array | Array | Array | string; -/** - * @type CreateCompletionRequestStop - * Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. - * @export - */ -export declare type CreateCompletionRequestStop = Array | string; -/** - * - * @export - * @interface CreateCompletionResponse - */ -export interface CreateCompletionResponse { - /** - * - * @type {string} - * @memberof CreateCompletionResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof CreateCompletionResponse - */ - 'object': string; - /** - * - * @type {number} - * @memberof CreateCompletionResponse - */ - 'created': number; - /** - * - * @type {string} - * @memberof CreateCompletionResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateCompletionResponse - */ - 'choices': Array; - /** - * - * @type {CreateCompletionResponseUsage} - * @memberof CreateCompletionResponse - */ - 'usage'?: CreateCompletionResponseUsage; -} -/** - * - * @export - * @interface CreateCompletionResponseChoicesInner - */ -export interface CreateCompletionResponseChoicesInner { - /** - * - * @type {string} - * @memberof CreateCompletionResponseChoicesInner - */ - 'text'?: string; - /** - * - * @type {number} - * @memberof CreateCompletionResponseChoicesInner - */ - 'index'?: number; - /** - * - * @type {CreateCompletionResponseChoicesInnerLogprobs} - * @memberof CreateCompletionResponseChoicesInner - */ - 'logprobs'?: CreateCompletionResponseChoicesInnerLogprobs | null; - /** - * - * @type {string} - * @memberof CreateCompletionResponseChoicesInner - */ - 'finish_reason'?: string; -} -/** - * - * @export - * @interface CreateCompletionResponseChoicesInnerLogprobs - */ -export interface CreateCompletionResponseChoicesInnerLogprobs { - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'tokens'?: Array; - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'token_logprobs'?: Array; - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'top_logprobs'?: Array; - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'text_offset'?: Array; -} -/** - * - * @export - * @interface CreateCompletionResponseUsage - */ -export interface CreateCompletionResponseUsage { - /** - * - * @type {number} - * @memberof CreateCompletionResponseUsage - */ - 'prompt_tokens': number; - /** - * - * @type {number} - * @memberof CreateCompletionResponseUsage - */ - 'completion_tokens': number; - /** - * - * @type {number} - * @memberof CreateCompletionResponseUsage - */ - 'total_tokens': number; -} -/** - * - * @export - * @interface CreateEditRequest - */ -export interface CreateEditRequest { - /** - * ID of the model to use. You can use the `text-davinci-edit-001` or `code-davinci-edit-001` model with this endpoint. - * @type {string} - * @memberof CreateEditRequest - */ - 'model': string; - /** - * The input text to use as a starting point for the edit. - * @type {string} - * @memberof CreateEditRequest - */ - 'input'?: string | null; - /** - * The instruction that tells the model how to edit the prompt. - * @type {string} - * @memberof CreateEditRequest - */ - 'instruction': string; - /** - * How many edits to generate for the input and instruction. - * @type {number} - * @memberof CreateEditRequest - */ - 'n'?: number | null; - /** - * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both. - * @type {number} - * @memberof CreateEditRequest - */ - 'temperature'?: number | null; - /** - * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. - * @type {number} - * @memberof CreateEditRequest - */ - 'top_p'?: number | null; -} -/** - * - * @export - * @interface CreateEditResponse - */ -export interface CreateEditResponse { - /** - * - * @type {string} - * @memberof CreateEditResponse - */ - 'object': string; - /** - * - * @type {number} - * @memberof CreateEditResponse - */ - 'created': number; - /** - * - * @type {Array} - * @memberof CreateEditResponse - */ - 'choices': Array; - /** - * - * @type {CreateCompletionResponseUsage} - * @memberof CreateEditResponse - */ - 'usage': CreateCompletionResponseUsage; -} -/** - * - * @export - * @interface CreateEmbeddingRequest - */ -export interface CreateEmbeddingRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateEmbeddingRequest - */ - 'model': string; - /** - * - * @type {CreateEmbeddingRequestInput} - * @memberof CreateEmbeddingRequest - */ - 'input': CreateEmbeddingRequestInput; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateEmbeddingRequest - */ - 'user'?: string; -} -/** - * @type CreateEmbeddingRequestInput - * Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed the max input tokens for the model (8191 tokens for `text-embedding-ada-002`). [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) for counting tokens. - * @export - */ -export declare type CreateEmbeddingRequestInput = Array | Array | Array | string; -/** - * - * @export - * @interface CreateEmbeddingResponse - */ -export interface CreateEmbeddingResponse { - /** - * - * @type {string} - * @memberof CreateEmbeddingResponse - */ - 'object': string; - /** - * - * @type {string} - * @memberof CreateEmbeddingResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateEmbeddingResponse - */ - 'data': Array; - /** - * - * @type {CreateEmbeddingResponseUsage} - * @memberof CreateEmbeddingResponse - */ - 'usage': CreateEmbeddingResponseUsage; -} -/** - * - * @export - * @interface CreateEmbeddingResponseDataInner - */ -export interface CreateEmbeddingResponseDataInner { - /** - * - * @type {number} - * @memberof CreateEmbeddingResponseDataInner - */ - 'index': number; - /** - * - * @type {string} - * @memberof CreateEmbeddingResponseDataInner - */ - 'object': string; - /** - * - * @type {Array} - * @memberof CreateEmbeddingResponseDataInner - */ - 'embedding': Array; -} -/** - * - * @export - * @interface CreateEmbeddingResponseUsage - */ -export interface CreateEmbeddingResponseUsage { - /** - * - * @type {number} - * @memberof CreateEmbeddingResponseUsage - */ - 'prompt_tokens': number; - /** - * - * @type {number} - * @memberof CreateEmbeddingResponseUsage - */ - 'total_tokens': number; -} -/** - * - * @export - * @interface CreateFineTuneRequest - */ -export interface CreateFineTuneRequest { - /** - * The ID of an uploaded file that contains training data. See [upload file](/docs/api-reference/files/upload) for how to upload a file. Your dataset must be formatted as a JSONL file, where each training example is a JSON object with the keys \"prompt\" and \"completion\". Additionally, you must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](/docs/guides/fine-tuning/creating-training-data) for more details. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'training_file': string; - /** - * The ID of an uploaded file that contains validation data. If you provide this file, the data is used to generate validation metrics periodically during fine-tuning. These metrics can be viewed in the [fine-tuning results file](/docs/guides/fine-tuning/analyzing-your-fine-tuned-model). Your train and validation data should be mutually exclusive. Your dataset must be formatted as a JSONL file, where each validation example is a JSON object with the keys \"prompt\" and \"completion\". Additionally, you must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](/docs/guides/fine-tuning/creating-training-data) for more details. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'validation_file'?: string | null; - /** - * The name of the base model to fine-tune. You can select one of \"ada\", \"babbage\", \"curie\", \"davinci\", or a fine-tuned model created after 2022-04-21. To learn more about these models, see the [Models](https://platform.openai.com/docs/models) documentation. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'model'?: string | null; - /** - * The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'n_epochs'?: number | null; - /** - * The batch size to use for training. The batch size is the number of training examples used to train a single forward and backward pass. By default, the batch size will be dynamically configured to be ~0.2% of the number of examples in the training set, capped at 256 - in general, we\'ve found that larger batch sizes tend to work better for larger datasets. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'batch_size'?: number | null; - /** - * The learning rate multiplier to use for training. The fine-tuning learning rate is the original learning rate used for pretraining multiplied by this value. By default, the learning rate multiplier is the 0.05, 0.1, or 0.2 depending on final `batch_size` (larger learning rates tend to perform better with larger batch sizes). We recommend experimenting with values in the range 0.02 to 0.2 to see what produces the best results. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'learning_rate_multiplier'?: number | null; - /** - * The weight to use for loss on the prompt tokens. This controls how much the model tries to learn to generate the prompt (as compared to the completion which always has a weight of 1.0), and can add a stabilizing effect to training when completions are short. If prompts are extremely long (relative to completions), it may make sense to reduce this weight so as to avoid over-prioritizing learning the prompt. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'prompt_loss_weight'?: number | null; - /** - * If set, we calculate classification-specific metrics such as accuracy and F-1 score using the validation set at the end of every epoch. These metrics can be viewed in the [results file](/docs/guides/fine-tuning/analyzing-your-fine-tuned-model). In order to compute classification metrics, you must provide a `validation_file`. Additionally, you must specify `classification_n_classes` for multiclass classification or `classification_positive_class` for binary classification. - * @type {boolean} - * @memberof CreateFineTuneRequest - */ - 'compute_classification_metrics'?: boolean | null; - /** - * The number of classes in a classification task. This parameter is required for multiclass classification. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'classification_n_classes'?: number | null; - /** - * The positive class in binary classification. This parameter is needed to generate precision, recall, and F1 metrics when doing binary classification. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'classification_positive_class'?: string | null; - /** - * If this is provided, we calculate F-beta scores at the specified beta values. The F-beta score is a generalization of F-1 score. This is only used for binary classification. With a beta of 1 (i.e. the F-1 score), precision and recall are given the same weight. A larger beta score puts more weight on recall and less on precision. A smaller beta score puts more weight on precision and less on recall. - * @type {Array} - * @memberof CreateFineTuneRequest - */ - 'classification_betas'?: Array | null; - /** - * A string of up to 40 characters that will be added to your fine-tuned model name. For example, a `suffix` of \"custom-model-name\" would produce a model name like `ada:ft-your-org:custom-model-name-2022-02-15-04-21-04`. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'suffix'?: string | null; -} -/** - * - * @export - * @interface CreateImageRequest - */ -export interface CreateImageRequest { - /** - * A text description of the desired image(s). The maximum length is 1000 characters. - * @type {string} - * @memberof CreateImageRequest - */ - 'prompt': string; - /** - * The number of images to generate. Must be between 1 and 10. - * @type {number} - * @memberof CreateImageRequest - */ - 'n'?: number | null; - /** - * The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @type {string} - * @memberof CreateImageRequest - */ - 'size'?: CreateImageRequestSizeEnum; - /** - * The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @type {string} - * @memberof CreateImageRequest - */ - 'response_format'?: CreateImageRequestResponseFormatEnum; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateImageRequest - */ - 'user'?: string; -} -export declare const CreateImageRequestSizeEnum: { - readonly _256x256: "256x256"; - readonly _512x512: "512x512"; - readonly _1024x1024: "1024x1024"; -}; -export declare type CreateImageRequestSizeEnum = typeof CreateImageRequestSizeEnum[keyof typeof CreateImageRequestSizeEnum]; -export declare const CreateImageRequestResponseFormatEnum: { - readonly Url: "url"; - readonly B64Json: "b64_json"; -}; -export declare type CreateImageRequestResponseFormatEnum = typeof CreateImageRequestResponseFormatEnum[keyof typeof CreateImageRequestResponseFormatEnum]; -/** - * - * @export - * @interface CreateModerationRequest - */ -export interface CreateModerationRequest { - /** - * - * @type {CreateModerationRequestInput} - * @memberof CreateModerationRequest - */ - 'input': CreateModerationRequestInput; - /** - * Two content moderations models are available: `text-moderation-stable` and `text-moderation-latest`. The default is `text-moderation-latest` which will be automatically upgraded over time. This ensures you are always using our most accurate model. If you use `text-moderation-stable`, we will provide advanced notice before updating the model. Accuracy of `text-moderation-stable` may be slightly lower than for `text-moderation-latest`. - * @type {string} - * @memberof CreateModerationRequest - */ - 'model'?: string; -} -/** - * @type CreateModerationRequestInput - * The input text to classify - * @export - */ -export declare type CreateModerationRequestInput = Array | string; -/** - * - * @export - * @interface CreateModerationResponse - */ -export interface CreateModerationResponse { - /** - * - * @type {string} - * @memberof CreateModerationResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof CreateModerationResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateModerationResponse - */ - 'results': Array; -} -/** - * - * @export - * @interface CreateModerationResponseResultsInner - */ -export interface CreateModerationResponseResultsInner { - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInner - */ - 'flagged': boolean; - /** - * - * @type {CreateModerationResponseResultsInnerCategories} - * @memberof CreateModerationResponseResultsInner - */ - 'categories': CreateModerationResponseResultsInnerCategories; - /** - * - * @type {CreateModerationResponseResultsInnerCategoryScores} - * @memberof CreateModerationResponseResultsInner - */ - 'category_scores': CreateModerationResponseResultsInnerCategoryScores; -} -/** - * - * @export - * @interface CreateModerationResponseResultsInnerCategories - */ -export interface CreateModerationResponseResultsInnerCategories { - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'hate': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'hate/threatening': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'self-harm': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'sexual': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'sexual/minors': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'violence': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'violence/graphic': boolean; -} -/** - * - * @export - * @interface CreateModerationResponseResultsInnerCategoryScores - */ -export interface CreateModerationResponseResultsInnerCategoryScores { - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'hate': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'hate/threatening': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'self-harm': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'sexual': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'sexual/minors': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'violence': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'violence/graphic': number; -} -/** - * - * @export - * @interface CreateSearchRequest - */ -export interface CreateSearchRequest { - /** - * Query to search against the documents. - * @type {string} - * @memberof CreateSearchRequest - */ - 'query': string; - /** - * Up to 200 documents to search over, provided as a list of strings. The maximum document length (in tokens) is 2034 minus the number of tokens in the query. You should specify either `documents` or a `file`, but not both. - * @type {Array} - * @memberof CreateSearchRequest - */ - 'documents'?: Array | null; - /** - * The ID of an uploaded file that contains documents to search over. You should specify either `documents` or a `file`, but not both. - * @type {string} - * @memberof CreateSearchRequest - */ - 'file'?: string | null; - /** - * The maximum number of documents to be re-ranked and returned by search. This flag only takes effect when `file` is set. - * @type {number} - * @memberof CreateSearchRequest - */ - 'max_rerank'?: number | null; - /** - * A special boolean flag for showing metadata. If set to `true`, each document entry in the returned JSON will contain a \"metadata\" field. This flag only takes effect when `file` is set. - * @type {boolean} - * @memberof CreateSearchRequest - */ - 'return_metadata'?: boolean | null; - /** - * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @type {string} - * @memberof CreateSearchRequest - */ - 'user'?: string; -} -/** - * - * @export - * @interface CreateSearchResponse - */ -export interface CreateSearchResponse { - /** - * - * @type {string} - * @memberof CreateSearchResponse - */ - 'object'?: string; - /** - * - * @type {string} - * @memberof CreateSearchResponse - */ - 'model'?: string; - /** - * - * @type {Array} - * @memberof CreateSearchResponse - */ - 'data'?: Array; -} -/** - * - * @export - * @interface CreateSearchResponseDataInner - */ -export interface CreateSearchResponseDataInner { - /** - * - * @type {string} - * @memberof CreateSearchResponseDataInner - */ - 'object'?: string; - /** - * - * @type {number} - * @memberof CreateSearchResponseDataInner - */ - 'document'?: number; - /** - * - * @type {number} - * @memberof CreateSearchResponseDataInner - */ - 'score'?: number; -} -/** - * - * @export - * @interface CreateTranscriptionResponse - */ -export interface CreateTranscriptionResponse { - /** - * - * @type {string} - * @memberof CreateTranscriptionResponse - */ - 'text': string; -} -/** - * - * @export - * @interface CreateTranslationResponse - */ -export interface CreateTranslationResponse { - /** - * - * @type {string} - * @memberof CreateTranslationResponse - */ - 'text': string; -} -/** - * - * @export - * @interface DeleteFileResponse - */ -export interface DeleteFileResponse { - /** - * - * @type {string} - * @memberof DeleteFileResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof DeleteFileResponse - */ - 'object': string; - /** - * - * @type {boolean} - * @memberof DeleteFileResponse - */ - 'deleted': boolean; -} -/** - * - * @export - * @interface DeleteModelResponse - */ -export interface DeleteModelResponse { - /** - * - * @type {string} - * @memberof DeleteModelResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof DeleteModelResponse - */ - 'object': string; - /** - * - * @type {boolean} - * @memberof DeleteModelResponse - */ - 'deleted': boolean; -} -/** - * - * @export - * @interface Engine - */ -export interface Engine { - /** - * - * @type {string} - * @memberof Engine - */ - 'id': string; - /** - * - * @type {string} - * @memberof Engine - */ - 'object': string; - /** - * - * @type {number} - * @memberof Engine - */ - 'created': number | null; - /** - * - * @type {boolean} - * @memberof Engine - */ - 'ready': boolean; -} -/** - * - * @export - * @interface ErrorResponse - */ -export interface ErrorResponse { - /** - * - * @type {Error} - * @memberof ErrorResponse - */ - 'error': Error; -} -/** - * - * @export - * @interface FineTune - */ -export interface FineTune { - /** - * - * @type {string} - * @memberof FineTune - */ - 'id': string; - /** - * - * @type {string} - * @memberof FineTune - */ - 'object': string; - /** - * - * @type {number} - * @memberof FineTune - */ - 'created_at': number; - /** - * - * @type {number} - * @memberof FineTune - */ - 'updated_at': number; - /** - * - * @type {string} - * @memberof FineTune - */ - 'model': string; - /** - * - * @type {string} - * @memberof FineTune - */ - 'fine_tuned_model': string | null; - /** - * - * @type {string} - * @memberof FineTune - */ - 'organization_id': string; - /** - * - * @type {string} - * @memberof FineTune - */ - 'status': string; - /** - * - * @type {object} - * @memberof FineTune - */ - 'hyperparams': object; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'training_files': Array; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'validation_files': Array; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'result_files': Array; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'events'?: Array; -} -/** - * - * @export - * @interface FineTuneEvent - */ -export interface FineTuneEvent { - /** - * - * @type {string} - * @memberof FineTuneEvent - */ - 'object': string; - /** - * - * @type {number} - * @memberof FineTuneEvent - */ - 'created_at': number; - /** - * - * @type {string} - * @memberof FineTuneEvent - */ - 'level': string; - /** - * - * @type {string} - * @memberof FineTuneEvent - */ - 'message': string; -} -/** - * - * @export - * @interface ImagesResponse - */ -export interface ImagesResponse { - /** - * - * @type {number} - * @memberof ImagesResponse - */ - 'created': number; - /** - * - * @type {Array} - * @memberof ImagesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ImagesResponseDataInner - */ -export interface ImagesResponseDataInner { - /** - * - * @type {string} - * @memberof ImagesResponseDataInner - */ - 'url'?: string; - /** - * - * @type {string} - * @memberof ImagesResponseDataInner - */ - 'b64_json'?: string; -} -/** - * - * @export - * @interface ListEnginesResponse - */ -export interface ListEnginesResponse { - /** - * - * @type {string} - * @memberof ListEnginesResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListEnginesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListFilesResponse - */ -export interface ListFilesResponse { - /** - * - * @type {string} - * @memberof ListFilesResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListFilesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListFineTuneEventsResponse - */ -export interface ListFineTuneEventsResponse { - /** - * - * @type {string} - * @memberof ListFineTuneEventsResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListFineTuneEventsResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListFineTunesResponse - */ -export interface ListFineTunesResponse { - /** - * - * @type {string} - * @memberof ListFineTunesResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListFineTunesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListModelsResponse - */ -export interface ListModelsResponse { - /** - * - * @type {string} - * @memberof ListModelsResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListModelsResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface Model - */ -export interface Model { - /** - * - * @type {string} - * @memberof Model - */ - 'id': string; - /** - * - * @type {string} - * @memberof Model - */ - 'object': string; - /** - * - * @type {number} - * @memberof Model - */ - 'created': number; - /** - * - * @type {string} - * @memberof Model - */ - 'owned_by': string; -} -/** - * - * @export - * @interface ModelError - */ -export interface ModelError { - /** - * - * @type {string} - * @memberof ModelError - */ - 'type': string; - /** - * - * @type {string} - * @memberof ModelError - */ - 'message': string; - /** - * - * @type {string} - * @memberof ModelError - */ - 'param': string | null; - /** - * - * @type {string} - * @memberof ModelError - */ - 'code': string | null; -} -/** - * - * @export - * @interface OpenAIFile - */ -export interface OpenAIFile { - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'id': string; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'object': string; - /** - * - * @type {number} - * @memberof OpenAIFile - */ - 'bytes': number; - /** - * - * @type {number} - * @memberof OpenAIFile - */ - 'created_at': number; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'filename': string; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'purpose': string; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'status'?: string; - /** - * - * @type {object} - * @memberof OpenAIFile - */ - 'status_details'?: object | null; -} -/** - * OpenAIApi - axios parameter creator - * @export - */ -export declare const OpenAIApiAxiosParamCreator: (configuration?: Configuration) => { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune: (fineTuneId: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer: (createAnswerRequest: CreateAnswerRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates a model response for the given chat conversation. - * @param {CreateChatCompletionRequest} createChatCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createChatCompletion: (createChatCompletionRequest: CreateChatCompletionRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification: (createClassificationRequest: CreateClassificationRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates a completion for the provided prompt and parameters. - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion: (createCompletionRequest: CreateCompletionRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters. - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit: (createEditRequest: CreateEditRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding: (createEmbeddingRequest: CreateEmbeddingRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile: (file: File, purpose: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune: (createFineTuneRequest: CreateFineTuneRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage: (createImageRequest: CreateImageRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit: (image: File, prompt: string, mask?: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation: (image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration: (createModerationRequest: CreateModerationRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch: (engineId: string, createSearchRequest: CreateSearchRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Transcribes audio into the input language. - * @param {File} file The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranscription: (file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, language?: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Translates audio into into English. - * @param {File} file The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranslation: (file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile: (fileId: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel: (model: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile: (fileId: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines: (options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles: (options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents: (fineTuneId: string, stream?: boolean, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes: (options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels: (options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine: (engineId: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile: (fileId: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune: (fineTuneId: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel: (model: string, options?: AxiosRequestConfig) => Promise; -}; -/** - * OpenAIApi - functional programming interface - * @export - */ -export declare const OpenAIApiFp: (configuration?: Configuration) => { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune(fineTuneId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer(createAnswerRequest: CreateAnswerRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates a model response for the given chat conversation. - * @param {CreateChatCompletionRequest} createChatCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createChatCompletion(createChatCompletionRequest: CreateChatCompletionRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification(createClassificationRequest: CreateClassificationRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates a completion for the provided prompt and parameters. - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion(createCompletionRequest: CreateCompletionRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters. - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit(createEditRequest: CreateEditRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding(createEmbeddingRequest: CreateEmbeddingRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile(file: File, purpose: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune(createFineTuneRequest: CreateFineTuneRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage(createImageRequest: CreateImageRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit(image: File, prompt: string, mask?: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation(image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration(createModerationRequest: CreateModerationRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch(engineId: string, createSearchRequest: CreateSearchRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Transcribes audio into the input language. - * @param {File} file The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranscription(file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, language?: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Translates audio into into English. - * @param {File} file The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranslation(file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile(fileId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel(model: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile(fileId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents(fineTuneId: string, stream?: boolean, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine(engineId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile(fileId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune(fineTuneId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel(model: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; -}; -/** - * OpenAIApi - factory interface - * @export - */ -export declare const OpenAIApiFactory: (configuration?: Configuration, basePath?: string, axios?: AxiosInstance) => { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune(fineTuneId: string, options?: any): AxiosPromise; - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer(createAnswerRequest: CreateAnswerRequest, options?: any): AxiosPromise; - /** - * - * @summary Creates a model response for the given chat conversation. - * @param {CreateChatCompletionRequest} createChatCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createChatCompletion(createChatCompletionRequest: CreateChatCompletionRequest, options?: any): AxiosPromise; - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification(createClassificationRequest: CreateClassificationRequest, options?: any): AxiosPromise; - /** - * - * @summary Creates a completion for the provided prompt and parameters. - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion(createCompletionRequest: CreateCompletionRequest, options?: any): AxiosPromise; - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters. - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit(createEditRequest: CreateEditRequest, options?: any): AxiosPromise; - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding(createEmbeddingRequest: CreateEmbeddingRequest, options?: any): AxiosPromise; - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile(file: File, purpose: string, options?: any): AxiosPromise; - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune(createFineTuneRequest: CreateFineTuneRequest, options?: any): AxiosPromise; - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage(createImageRequest: CreateImageRequest, options?: any): AxiosPromise; - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit(image: File, prompt: string, mask?: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: any): AxiosPromise; - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation(image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: any): AxiosPromise; - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration(createModerationRequest: CreateModerationRequest, options?: any): AxiosPromise; - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch(engineId: string, createSearchRequest: CreateSearchRequest, options?: any): AxiosPromise; - /** - * - * @summary Transcribes audio into the input language. - * @param {File} file The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranscription(file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, language?: string, options?: any): AxiosPromise; - /** - * - * @summary Translates audio into into English. - * @param {File} file The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranslation(file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, options?: any): AxiosPromise; - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile(fileId: string, options?: any): AxiosPromise; - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel(model: string, options?: any): AxiosPromise; - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile(fileId: string, options?: any): AxiosPromise; - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines(options?: any): AxiosPromise; - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles(options?: any): AxiosPromise; - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents(fineTuneId: string, stream?: boolean, options?: any): AxiosPromise; - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes(options?: any): AxiosPromise; - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels(options?: any): AxiosPromise; - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine(engineId: string, options?: any): AxiosPromise; - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile(fileId: string, options?: any): AxiosPromise; - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune(fineTuneId: string, options?: any): AxiosPromise; - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel(model: string, options?: any): AxiosPromise; -}; -/** - * OpenAIApi - object-oriented interface - * @export - * @class OpenAIApi - * @extends {BaseAPI} - */ -export declare class OpenAIApi extends BaseAPI { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - cancelFineTune(fineTuneId: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createAnswer(createAnswerRequest: CreateAnswerRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates a model response for the given chat conversation. - * @param {CreateChatCompletionRequest} createChatCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createChatCompletion(createChatCompletionRequest: CreateChatCompletionRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createClassification(createClassificationRequest: CreateClassificationRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates a completion for the provided prompt and parameters. - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createCompletion(createCompletionRequest: CreateCompletionRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters. - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createEdit(createEditRequest: CreateEditRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createEmbedding(createEmbeddingRequest: CreateEmbeddingRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createFile(file: File, purpose: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createFineTune(createFineTuneRequest: CreateFineTuneRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createImage(createImageRequest: CreateImageRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createImageEdit(image: File, prompt: string, mask?: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createImageVariation(image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createModeration(createModerationRequest: CreateModerationRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createSearch(engineId: string, createSearchRequest: CreateSearchRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Transcribes audio into the input language. - * @param {File} file The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createTranscription(file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, language?: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Translates audio into into English. - * @param {File} file The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createTranslation(file: File, model: string, prompt?: string, responseFormat?: string, temperature?: number, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - deleteFile(fileId: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - deleteModel(model: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - downloadFile(fileId: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listEngines(options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listFiles(options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listFineTuneEvents(fineTuneId: string, stream?: boolean, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listFineTunes(options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listModels(options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveEngine(engineId: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveFile(fileId: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveFineTune(fineTuneId: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveModel(model: string, options?: AxiosRequestConfig): Promise>; -} diff --git a/dist/api.js b/dist/api.js deleted file mode 100644 index a4d889c6a..000000000 --- a/dist/api.js +++ /dev/null @@ -1,2040 +0,0 @@ -"use strict"; -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { - function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } - return new (P || (P = Promise))(function (resolve, reject) { - function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } - function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } - function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } - step((generator = generator.apply(thisArg, _arguments || [])).next()); - }); -}; -Object.defineProperty(exports, "__esModule", { value: true }); -exports.OpenAIApi = exports.OpenAIApiFactory = exports.OpenAIApiFp = exports.OpenAIApiAxiosParamCreator = exports.CreateImageRequestResponseFormatEnum = exports.CreateImageRequestSizeEnum = exports.ChatCompletionResponseMessageRoleEnum = exports.ChatCompletionRequestMessageRoleEnum = void 0; -const axios_1 = require("axios"); -// Some imports not used depending on template conditions -// @ts-ignore -const common_1 = require("./common"); -// @ts-ignore -const base_1 = require("./base"); -exports.ChatCompletionRequestMessageRoleEnum = { - System: 'system', - User: 'user', - Assistant: 'assistant', - Function: 'function' -}; -exports.ChatCompletionResponseMessageRoleEnum = { - System: 'system', - User: 'user', - Assistant: 'assistant', - Function: 'function' -}; -exports.CreateImageRequestSizeEnum = { - _256x256: '256x256', - _512x512: '512x512', - _1024x1024: '1024x1024' -}; -exports.CreateImageRequestResponseFormatEnum = { - Url: 'url', - B64Json: 'b64_json' -}; -/** - * OpenAIApi - axios parameter creator - * @export - */ -exports.OpenAIApiAxiosParamCreator = function (configuration) { - return { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune: (fineTuneId, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'fineTuneId' is not null or undefined - common_1.assertParamExists('cancelFineTune', 'fineTuneId', fineTuneId); - const localVarPath = `/fine-tunes/{fine_tune_id}/cancel` - .replace(`{${"fine_tune_id"}}`, encodeURIComponent(String(fineTuneId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer: (createAnswerRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createAnswerRequest' is not null or undefined - common_1.assertParamExists('createAnswer', 'createAnswerRequest', createAnswerRequest); - const localVarPath = `/answers`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createAnswerRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates a model response for the given chat conversation. - * @param {CreateChatCompletionRequest} createChatCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createChatCompletion: (createChatCompletionRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createChatCompletionRequest' is not null or undefined - common_1.assertParamExists('createChatCompletion', 'createChatCompletionRequest', createChatCompletionRequest); - const localVarPath = `/chat/completions`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createChatCompletionRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification: (createClassificationRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createClassificationRequest' is not null or undefined - common_1.assertParamExists('createClassification', 'createClassificationRequest', createClassificationRequest); - const localVarPath = `/classifications`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createClassificationRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates a completion for the provided prompt and parameters. - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion: (createCompletionRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createCompletionRequest' is not null or undefined - common_1.assertParamExists('createCompletion', 'createCompletionRequest', createCompletionRequest); - const localVarPath = `/completions`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createCompletionRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters. - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit: (createEditRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createEditRequest' is not null or undefined - common_1.assertParamExists('createEdit', 'createEditRequest', createEditRequest); - const localVarPath = `/edits`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createEditRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding: (createEmbeddingRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createEmbeddingRequest' is not null or undefined - common_1.assertParamExists('createEmbedding', 'createEmbeddingRequest', createEmbeddingRequest); - const localVarPath = `/embeddings`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createEmbeddingRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile: (file, purpose, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'file' is not null or undefined - common_1.assertParamExists('createFile', 'file', file); - // verify required parameter 'purpose' is not null or undefined - common_1.assertParamExists('createFile', 'purpose', purpose); - const localVarPath = `/files`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - if (file !== undefined) { - localVarFormParams.append('file', file); - } - if (purpose !== undefined) { - localVarFormParams.append('purpose', purpose); - } - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = localVarFormParams; - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune: (createFineTuneRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createFineTuneRequest' is not null or undefined - common_1.assertParamExists('createFineTune', 'createFineTuneRequest', createFineTuneRequest); - const localVarPath = `/fine-tunes`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createFineTuneRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage: (createImageRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createImageRequest' is not null or undefined - common_1.assertParamExists('createImage', 'createImageRequest', createImageRequest); - const localVarPath = `/images/generations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createImageRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit: (image, prompt, mask, n, size, responseFormat, user, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'image' is not null or undefined - common_1.assertParamExists('createImageEdit', 'image', image); - // verify required parameter 'prompt' is not null or undefined - common_1.assertParamExists('createImageEdit', 'prompt', prompt); - const localVarPath = `/images/edits`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - if (image !== undefined) { - localVarFormParams.append('image', image); - } - if (mask !== undefined) { - localVarFormParams.append('mask', mask); - } - if (prompt !== undefined) { - localVarFormParams.append('prompt', prompt); - } - if (n !== undefined) { - localVarFormParams.append('n', n); - } - if (size !== undefined) { - localVarFormParams.append('size', size); - } - if (responseFormat !== undefined) { - localVarFormParams.append('response_format', responseFormat); - } - if (user !== undefined) { - localVarFormParams.append('user', user); - } - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = localVarFormParams; - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation: (image, n, size, responseFormat, user, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'image' is not null or undefined - common_1.assertParamExists('createImageVariation', 'image', image); - const localVarPath = `/images/variations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - if (image !== undefined) { - localVarFormParams.append('image', image); - } - if (n !== undefined) { - localVarFormParams.append('n', n); - } - if (size !== undefined) { - localVarFormParams.append('size', size); - } - if (responseFormat !== undefined) { - localVarFormParams.append('response_format', responseFormat); - } - if (user !== undefined) { - localVarFormParams.append('user', user); - } - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = localVarFormParams; - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration: (createModerationRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createModerationRequest' is not null or undefined - common_1.assertParamExists('createModeration', 'createModerationRequest', createModerationRequest); - const localVarPath = `/moderations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createModerationRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch: (engineId, createSearchRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'engineId' is not null or undefined - common_1.assertParamExists('createSearch', 'engineId', engineId); - // verify required parameter 'createSearchRequest' is not null or undefined - common_1.assertParamExists('createSearch', 'createSearchRequest', createSearchRequest); - const localVarPath = `/engines/{engine_id}/search` - .replace(`{${"engine_id"}}`, encodeURIComponent(String(engineId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createSearchRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Transcribes audio into the input language. - * @param {File} file The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranscription: (file, model, prompt, responseFormat, temperature, language, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'file' is not null or undefined - common_1.assertParamExists('createTranscription', 'file', file); - // verify required parameter 'model' is not null or undefined - common_1.assertParamExists('createTranscription', 'model', model); - const localVarPath = `/audio/transcriptions`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - if (file !== undefined) { - localVarFormParams.append('file', file); - } - if (model !== undefined) { - localVarFormParams.append('model', model); - } - if (prompt !== undefined) { - localVarFormParams.append('prompt', prompt); - } - if (responseFormat !== undefined) { - localVarFormParams.append('response_format', responseFormat); - } - if (temperature !== undefined) { - localVarFormParams.append('temperature', temperature); - } - if (language !== undefined) { - localVarFormParams.append('language', language); - } - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = localVarFormParams; - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Translates audio into into English. - * @param {File} file The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranslation: (file, model, prompt, responseFormat, temperature, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'file' is not null or undefined - common_1.assertParamExists('createTranslation', 'file', file); - // verify required parameter 'model' is not null or undefined - common_1.assertParamExists('createTranslation', 'model', model); - const localVarPath = `/audio/translations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - if (file !== undefined) { - localVarFormParams.append('file', file); - } - if (model !== undefined) { - localVarFormParams.append('model', model); - } - if (prompt !== undefined) { - localVarFormParams.append('prompt', prompt); - } - if (responseFormat !== undefined) { - localVarFormParams.append('response_format', responseFormat); - } - if (temperature !== undefined) { - localVarFormParams.append('temperature', temperature); - } - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = localVarFormParams; - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile: (fileId, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'fileId' is not null or undefined - common_1.assertParamExists('deleteFile', 'fileId', fileId); - const localVarPath = `/files/{file_id}` - .replace(`{${"file_id"}}`, encodeURIComponent(String(fileId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'DELETE' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel: (model, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'model' is not null or undefined - common_1.assertParamExists('deleteModel', 'model', model); - const localVarPath = `/models/{model}` - .replace(`{${"model"}}`, encodeURIComponent(String(model))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'DELETE' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile: (fileId, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'fileId' is not null or undefined - common_1.assertParamExists('downloadFile', 'fileId', fileId); - const localVarPath = `/files/{file_id}/content` - .replace(`{${"file_id"}}`, encodeURIComponent(String(fileId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines: (options = {}) => __awaiter(this, void 0, void 0, function* () { - const localVarPath = `/engines`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles: (options = {}) => __awaiter(this, void 0, void 0, function* () { - const localVarPath = `/files`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents: (fineTuneId, stream, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'fineTuneId' is not null or undefined - common_1.assertParamExists('listFineTuneEvents', 'fineTuneId', fineTuneId); - const localVarPath = `/fine-tunes/{fine_tune_id}/events` - .replace(`{${"fine_tune_id"}}`, encodeURIComponent(String(fineTuneId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - if (stream !== undefined) { - localVarQueryParameter['stream'] = stream; - } - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes: (options = {}) => __awaiter(this, void 0, void 0, function* () { - const localVarPath = `/fine-tunes`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels: (options = {}) => __awaiter(this, void 0, void 0, function* () { - const localVarPath = `/models`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine: (engineId, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'engineId' is not null or undefined - common_1.assertParamExists('retrieveEngine', 'engineId', engineId); - const localVarPath = `/engines/{engine_id}` - .replace(`{${"engine_id"}}`, encodeURIComponent(String(engineId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile: (fileId, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'fileId' is not null or undefined - common_1.assertParamExists('retrieveFile', 'fileId', fileId); - const localVarPath = `/files/{file_id}` - .replace(`{${"file_id"}}`, encodeURIComponent(String(fileId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune: (fineTuneId, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'fineTuneId' is not null or undefined - common_1.assertParamExists('retrieveFineTune', 'fineTuneId', fineTuneId); - const localVarPath = `/fine-tunes/{fine_tune_id}` - .replace(`{${"fine_tune_id"}}`, encodeURIComponent(String(fineTuneId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel: (model, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'model' is not null or undefined - common_1.assertParamExists('retrieveModel', 'model', model); - const localVarPath = `/models/{model}` - .replace(`{${"model"}}`, encodeURIComponent(String(model))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - }; -}; -/** - * OpenAIApi - functional programming interface - * @export - */ -exports.OpenAIApiFp = function (configuration) { - const localVarAxiosParamCreator = exports.OpenAIApiAxiosParamCreator(configuration); - return { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune(fineTuneId, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.cancelFineTune(fineTuneId, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer(createAnswerRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createAnswer(createAnswerRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates a model response for the given chat conversation. - * @param {CreateChatCompletionRequest} createChatCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createChatCompletion(createChatCompletionRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createChatCompletion(createChatCompletionRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification(createClassificationRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createClassification(createClassificationRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates a completion for the provided prompt and parameters. - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion(createCompletionRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createCompletion(createCompletionRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters. - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit(createEditRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createEdit(createEditRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding(createEmbeddingRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createEmbedding(createEmbeddingRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile(file, purpose, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createFile(file, purpose, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune(createFineTuneRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createFineTune(createFineTuneRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage(createImageRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createImage(createImageRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit(image, prompt, mask, n, size, responseFormat, user, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createImageEdit(image, prompt, mask, n, size, responseFormat, user, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation(image, n, size, responseFormat, user, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createImageVariation(image, n, size, responseFormat, user, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration(createModerationRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createModeration(createModerationRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch(engineId, createSearchRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createSearch(engineId, createSearchRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Transcribes audio into the input language. - * @param {File} file The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranscription(file, model, prompt, responseFormat, temperature, language, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createTranscription(file, model, prompt, responseFormat, temperature, language, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Translates audio into into English. - * @param {File} file The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranslation(file, model, prompt, responseFormat, temperature, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createTranslation(file, model, prompt, responseFormat, temperature, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile(fileId, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.deleteFile(fileId, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel(model, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.deleteModel(model, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile(fileId, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.downloadFile(fileId, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines(options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.listEngines(options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles(options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.listFiles(options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents(fineTuneId, stream, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.listFineTuneEvents(fineTuneId, stream, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes(options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.listFineTunes(options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels(options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.listModels(options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine(engineId, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.retrieveEngine(engineId, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile(fileId, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.retrieveFile(fileId, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune(fineTuneId, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.retrieveFineTune(fineTuneId, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel(model, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.retrieveModel(model, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - }; -}; -/** - * OpenAIApi - factory interface - * @export - */ -exports.OpenAIApiFactory = function (configuration, basePath, axios) { - const localVarFp = exports.OpenAIApiFp(configuration); - return { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune(fineTuneId, options) { - return localVarFp.cancelFineTune(fineTuneId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer(createAnswerRequest, options) { - return localVarFp.createAnswer(createAnswerRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a model response for the given chat conversation. - * @param {CreateChatCompletionRequest} createChatCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createChatCompletion(createChatCompletionRequest, options) { - return localVarFp.createChatCompletion(createChatCompletionRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification(createClassificationRequest, options) { - return localVarFp.createClassification(createClassificationRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a completion for the provided prompt and parameters. - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion(createCompletionRequest, options) { - return localVarFp.createCompletion(createCompletionRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters. - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit(createEditRequest, options) { - return localVarFp.createEdit(createEditRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding(createEmbeddingRequest, options) { - return localVarFp.createEmbedding(createEmbeddingRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile(file, purpose, options) { - return localVarFp.createFile(file, purpose, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune(createFineTuneRequest, options) { - return localVarFp.createFineTune(createFineTuneRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage(createImageRequest, options) { - return localVarFp.createImage(createImageRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit(image, prompt, mask, n, size, responseFormat, user, options) { - return localVarFp.createImageEdit(image, prompt, mask, n, size, responseFormat, user, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation(image, n, size, responseFormat, user, options) { - return localVarFp.createImageVariation(image, n, size, responseFormat, user, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration(createModerationRequest, options) { - return localVarFp.createModeration(createModerationRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch(engineId, createSearchRequest, options) { - return localVarFp.createSearch(engineId, createSearchRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Transcribes audio into the input language. - * @param {File} file The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranscription(file, model, prompt, responseFormat, temperature, language, options) { - return localVarFp.createTranscription(file, model, prompt, responseFormat, temperature, language, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Translates audio into into English. - * @param {File} file The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createTranslation(file, model, prompt, responseFormat, temperature, options) { - return localVarFp.createTranslation(file, model, prompt, responseFormat, temperature, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile(fileId, options) { - return localVarFp.deleteFile(fileId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel(model, options) { - return localVarFp.deleteModel(model, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile(fileId, options) { - return localVarFp.downloadFile(fileId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines(options) { - return localVarFp.listEngines(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles(options) { - return localVarFp.listFiles(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents(fineTuneId, stream, options) { - return localVarFp.listFineTuneEvents(fineTuneId, stream, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes(options) { - return localVarFp.listFineTunes(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels(options) { - return localVarFp.listModels(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine(engineId, options) { - return localVarFp.retrieveEngine(engineId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile(fileId, options) { - return localVarFp.retrieveFile(fileId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune(fineTuneId, options) { - return localVarFp.retrieveFineTune(fineTuneId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel(model, options) { - return localVarFp.retrieveModel(model, options).then((request) => request(axios, basePath)); - }, - }; -}; -/** - * OpenAIApi - object-oriented interface - * @export - * @class OpenAIApi - * @extends {BaseAPI} - */ -class OpenAIApi extends base_1.BaseAPI { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - cancelFineTune(fineTuneId, options) { - return exports.OpenAIApiFp(this.configuration).cancelFineTune(fineTuneId, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createAnswer(createAnswerRequest, options) { - return exports.OpenAIApiFp(this.configuration).createAnswer(createAnswerRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates a model response for the given chat conversation. - * @param {CreateChatCompletionRequest} createChatCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createChatCompletion(createChatCompletionRequest, options) { - return exports.OpenAIApiFp(this.configuration).createChatCompletion(createChatCompletionRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createClassification(createClassificationRequest, options) { - return exports.OpenAIApiFp(this.configuration).createClassification(createClassificationRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates a completion for the provided prompt and parameters. - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createCompletion(createCompletionRequest, options) { - return exports.OpenAIApiFp(this.configuration).createCompletion(createCompletionRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters. - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createEdit(createEditRequest, options) { - return exports.OpenAIApiFp(this.configuration).createEdit(createEditRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createEmbedding(createEmbeddingRequest, options) { - return exports.OpenAIApiFp(this.configuration).createEmbedding(createEmbeddingRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createFile(file, purpose, options) { - return exports.OpenAIApiFp(this.configuration).createFile(file, purpose, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createFineTune(createFineTuneRequest, options) { - return exports.OpenAIApiFp(this.configuration).createFineTune(createFineTuneRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createImage(createImageRequest, options) { - return exports.OpenAIApiFp(this.configuration).createImage(createImageRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createImageEdit(image, prompt, mask, n, size, responseFormat, user, options) { - return exports.OpenAIApiFp(this.configuration).createImageEdit(image, prompt, mask, n, size, responseFormat, user, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createImageVariation(image, n, size, responseFormat, user, options) { - return exports.OpenAIApiFp(this.configuration).createImageVariation(image, n, size, responseFormat, user, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createModeration(createModerationRequest, options) { - return exports.OpenAIApiFp(this.configuration).createModeration(createModerationRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createSearch(engineId, createSearchRequest, options) { - return exports.OpenAIApiFp(this.configuration).createSearch(engineId, createSearchRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Transcribes audio into the input language. - * @param {File} file The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createTranscription(file, model, prompt, responseFormat, temperature, language, options) { - return exports.OpenAIApiFp(this.configuration).createTranscription(file, model, prompt, responseFormat, temperature, language, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Translates audio into into English. - * @param {File} file The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. - * @param {string} model ID of the model to use. Only `whisper-1` is currently available. - * @param {string} [prompt] An optional text to guide the model\\\'s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. - * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createTranslation(file, model, prompt, responseFormat, temperature, options) { - return exports.OpenAIApiFp(this.configuration).createTranslation(file, model, prompt, responseFormat, temperature, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - deleteFile(fileId, options) { - return exports.OpenAIApiFp(this.configuration).deleteFile(fileId, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - deleteModel(model, options) { - return exports.OpenAIApiFp(this.configuration).deleteModel(model, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - downloadFile(fileId, options) { - return exports.OpenAIApiFp(this.configuration).downloadFile(fileId, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listEngines(options) { - return exports.OpenAIApiFp(this.configuration).listEngines(options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listFiles(options) { - return exports.OpenAIApiFp(this.configuration).listFiles(options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listFineTuneEvents(fineTuneId, stream, options) { - return exports.OpenAIApiFp(this.configuration).listFineTuneEvents(fineTuneId, stream, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listFineTunes(options) { - return exports.OpenAIApiFp(this.configuration).listFineTunes(options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listModels(options) { - return exports.OpenAIApiFp(this.configuration).listModels(options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveEngine(engineId, options) { - return exports.OpenAIApiFp(this.configuration).retrieveEngine(engineId, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveFile(fileId, options) { - return exports.OpenAIApiFp(this.configuration).retrieveFile(fileId, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveFineTune(fineTuneId, options) { - return exports.OpenAIApiFp(this.configuration).retrieveFineTune(fineTuneId, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveModel(model, options) { - return exports.OpenAIApiFp(this.configuration).retrieveModel(model, options).then((request) => request(this.axios, this.basePath)); - } -} -exports.OpenAIApi = OpenAIApi; diff --git a/dist/base.d.ts b/dist/base.d.ts deleted file mode 100644 index e1986a6ab..000000000 --- a/dist/base.d.ts +++ /dev/null @@ -1,54 +0,0 @@ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -import type { Configuration } from './configuration'; -import type { AxiosInstance, AxiosRequestConfig } from 'axios'; -export declare const BASE_PATH: string; -/** - * - * @export - */ -export declare const COLLECTION_FORMATS: { - csv: string; - ssv: string; - tsv: string; - pipes: string; -}; -/** - * - * @export - * @interface RequestArgs - */ -export interface RequestArgs { - url: string; - options: AxiosRequestConfig; -} -/** - * - * @export - * @class BaseAPI - */ -export declare class BaseAPI { - protected basePath: string; - protected axios: AxiosInstance; - protected configuration: Configuration | undefined; - constructor(configuration?: Configuration, basePath?: string, axios?: AxiosInstance); -} -/** - * - * @export - * @class RequiredError - * @extends {Error} - */ -export declare class RequiredError extends Error { - field: string; - constructor(field: string, msg?: string); -} diff --git a/dist/base.js b/dist/base.js deleted file mode 100644 index 7dc003f14..000000000 --- a/dist/base.js +++ /dev/null @@ -1,59 +0,0 @@ -"use strict"; -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -Object.defineProperty(exports, "__esModule", { value: true }); -exports.RequiredError = exports.BaseAPI = exports.COLLECTION_FORMATS = exports.BASE_PATH = void 0; -const axios_1 = require("axios"); -exports.BASE_PATH = "https://api.openai.com/v1".replace(/\/+$/, ""); -/** - * - * @export - */ -exports.COLLECTION_FORMATS = { - csv: ",", - ssv: " ", - tsv: "\t", - pipes: "|", -}; -/** - * - * @export - * @class BaseAPI - */ -class BaseAPI { - constructor(configuration, basePath = exports.BASE_PATH, axios = axios_1.default) { - this.basePath = basePath; - this.axios = axios; - if (configuration) { - this.configuration = configuration; - this.basePath = configuration.basePath || this.basePath; - } - } -} -exports.BaseAPI = BaseAPI; -; -/** - * - * @export - * @class RequiredError - * @extends {Error} - */ -class RequiredError extends Error { - constructor(field, msg) { - super(msg); - this.field = field; - this.name = "RequiredError"; - } -} -exports.RequiredError = RequiredError; diff --git a/dist/common.d.ts b/dist/common.d.ts deleted file mode 100644 index 6ef2798be..000000000 --- a/dist/common.d.ts +++ /dev/null @@ -1,65 +0,0 @@ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -import type { Configuration } from "./configuration"; -import type { RequestArgs } from "./base"; -import type { AxiosInstance, AxiosResponse } from 'axios'; -/** - * - * @export - */ -export declare const DUMMY_BASE_URL = "https://example.com"; -/** - * - * @throws {RequiredError} - * @export - */ -export declare const assertParamExists: (functionName: string, paramName: string, paramValue: unknown) => void; -/** - * - * @export - */ -export declare const setApiKeyToObject: (object: any, keyParamName: string, configuration?: Configuration) => Promise; -/** - * - * @export - */ -export declare const setBasicAuthToObject: (object: any, configuration?: Configuration) => void; -/** - * - * @export - */ -export declare const setBearerAuthToObject: (object: any, configuration?: Configuration) => Promise; -/** - * - * @export - */ -export declare const setOAuthToObject: (object: any, name: string, scopes: string[], configuration?: Configuration) => Promise; -/** - * - * @export - */ -export declare const setSearchParams: (url: URL, ...objects: any[]) => void; -/** - * - * @export - */ -export declare const serializeDataIfNeeded: (value: any, requestOptions: any, configuration?: Configuration) => any; -/** - * - * @export - */ -export declare const toPathString: (url: URL) => string; -/** - * - * @export - */ -export declare const createRequestFunction: (axiosArgs: RequestArgs, globalAxios: AxiosInstance, BASE_PATH: string, configuration?: Configuration) => >(axios?: AxiosInstance, basePath?: string) => Promise; diff --git a/dist/common.js b/dist/common.js deleted file mode 100644 index 36b545527..000000000 --- a/dist/common.js +++ /dev/null @@ -1,151 +0,0 @@ -"use strict"; -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { - function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } - return new (P || (P = Promise))(function (resolve, reject) { - function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } - function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } - function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } - step((generator = generator.apply(thisArg, _arguments || [])).next()); - }); -}; -Object.defineProperty(exports, "__esModule", { value: true }); -exports.createRequestFunction = exports.toPathString = exports.serializeDataIfNeeded = exports.setSearchParams = exports.setOAuthToObject = exports.setBearerAuthToObject = exports.setBasicAuthToObject = exports.setApiKeyToObject = exports.assertParamExists = exports.DUMMY_BASE_URL = void 0; -const base_1 = require("./base"); -/** - * - * @export - */ -exports.DUMMY_BASE_URL = 'https://example.com'; -/** - * - * @throws {RequiredError} - * @export - */ -exports.assertParamExists = function (functionName, paramName, paramValue) { - if (paramValue === null || paramValue === undefined) { - throw new base_1.RequiredError(paramName, `Required parameter ${paramName} was null or undefined when calling ${functionName}.`); - } -}; -/** - * - * @export - */ -exports.setApiKeyToObject = function (object, keyParamName, configuration) { - return __awaiter(this, void 0, void 0, function* () { - if (configuration && configuration.apiKey) { - const localVarApiKeyValue = typeof configuration.apiKey === 'function' - ? yield configuration.apiKey(keyParamName) - : yield configuration.apiKey; - object[keyParamName] = localVarApiKeyValue; - } - }); -}; -/** - * - * @export - */ -exports.setBasicAuthToObject = function (object, configuration) { - if (configuration && (configuration.username || configuration.password)) { - object["auth"] = { username: configuration.username, password: configuration.password }; - } -}; -/** - * - * @export - */ -exports.setBearerAuthToObject = function (object, configuration) { - return __awaiter(this, void 0, void 0, function* () { - if (configuration && configuration.accessToken) { - const accessToken = typeof configuration.accessToken === 'function' - ? yield configuration.accessToken() - : yield configuration.accessToken; - object["Authorization"] = "Bearer " + accessToken; - } - }); -}; -/** - * - * @export - */ -exports.setOAuthToObject = function (object, name, scopes, configuration) { - return __awaiter(this, void 0, void 0, function* () { - if (configuration && configuration.accessToken) { - const localVarAccessTokenValue = typeof configuration.accessToken === 'function' - ? yield configuration.accessToken(name, scopes) - : yield configuration.accessToken; - object["Authorization"] = "Bearer " + localVarAccessTokenValue; - } - }); -}; -function setFlattenedQueryParams(urlSearchParams, parameter, key = "") { - if (parameter == null) - return; - if (typeof parameter === "object") { - if (Array.isArray(parameter)) { - parameter.forEach(item => setFlattenedQueryParams(urlSearchParams, item, key)); - } - else { - Object.keys(parameter).forEach(currentKey => setFlattenedQueryParams(urlSearchParams, parameter[currentKey], `${key}${key !== '' ? '.' : ''}${currentKey}`)); - } - } - else { - if (urlSearchParams.has(key)) { - urlSearchParams.append(key, parameter); - } - else { - urlSearchParams.set(key, parameter); - } - } -} -/** - * - * @export - */ -exports.setSearchParams = function (url, ...objects) { - const searchParams = new URLSearchParams(url.search); - setFlattenedQueryParams(searchParams, objects); - url.search = searchParams.toString(); -}; -/** - * - * @export - */ -exports.serializeDataIfNeeded = function (value, requestOptions, configuration) { - const nonString = typeof value !== 'string'; - const needsSerialization = nonString && configuration && configuration.isJsonMime - ? configuration.isJsonMime(requestOptions.headers['Content-Type']) - : nonString; - return needsSerialization - ? JSON.stringify(value !== undefined ? value : {}) - : (value || ""); -}; -/** - * - * @export - */ -exports.toPathString = function (url) { - return url.pathname + url.search + url.hash; -}; -/** - * - * @export - */ -exports.createRequestFunction = function (axiosArgs, globalAxios, BASE_PATH, configuration) { - return (axios = globalAxios, basePath = BASE_PATH) => { - const axiosRequestArgs = Object.assign(Object.assign({}, axiosArgs.options), { url: ((configuration === null || configuration === void 0 ? void 0 : configuration.basePath) || basePath) + axiosArgs.url }); - return axios.request(axiosRequestArgs); - }; -}; diff --git a/dist/configuration.d.ts b/dist/configuration.d.ts deleted file mode 100644 index f0b3d1a44..000000000 --- a/dist/configuration.d.ts +++ /dev/null @@ -1,91 +0,0 @@ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -export interface ConfigurationParameters { - apiKey?: string | Promise | ((name: string) => string) | ((name: string) => Promise); - organization?: string; - username?: string; - password?: string; - accessToken?: string | Promise | ((name?: string, scopes?: string[]) => string) | ((name?: string, scopes?: string[]) => Promise); - basePath?: string; - baseOptions?: any; - formDataCtor?: new () => any; -} -export declare class Configuration { - /** - * parameter for apiKey security - * @param name security name - * @memberof Configuration - */ - apiKey?: string | Promise | ((name: string) => string) | ((name: string) => Promise); - /** - * OpenAI organization id - * - * @type {string} - * @memberof Configuration - */ - organization?: string; - /** - * parameter for basic security - * - * @type {string} - * @memberof Configuration - */ - username?: string; - /** - * parameter for basic security - * - * @type {string} - * @memberof Configuration - */ - password?: string; - /** - * parameter for oauth2 security - * @param name security name - * @param scopes oauth2 scope - * @memberof Configuration - */ - accessToken?: string | Promise | ((name?: string, scopes?: string[]) => string) | ((name?: string, scopes?: string[]) => Promise); - /** - * override base path - * - * @type {string} - * @memberof Configuration - */ - basePath?: string; - /** - * base options for axios calls - * - * @type {any} - * @memberof Configuration - */ - baseOptions?: any; - /** - * The FormData constructor that will be used to create multipart form data - * requests. You can inject this here so that execution environments that - * do not support the FormData class can still run the generated client. - * - * @type {new () => FormData} - */ - formDataCtor?: new () => any; - constructor(param?: ConfigurationParameters); - /** - * Check if the given MIME is a JSON MIME. - * JSON MIME examples: - * application/json - * application/json; charset=UTF8 - * APPLICATION/JSON - * application/vnd.company+json - * @param mime - MIME (Multipurpose Internet Mail Extensions) - * @return True if the given MIME is JSON, false otherwise. - */ - isJsonMime(mime: string): boolean; -} diff --git a/dist/configuration.js b/dist/configuration.js deleted file mode 100644 index 8d0ee2611..000000000 --- a/dist/configuration.js +++ /dev/null @@ -1,54 +0,0 @@ -"use strict"; -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -Object.defineProperty(exports, "__esModule", { value: true }); -exports.Configuration = void 0; -const packageJson = require("../package.json"); -class Configuration { - constructor(param = {}) { - this.apiKey = param.apiKey; - this.organization = param.organization; - this.username = param.username; - this.password = param.password; - this.accessToken = param.accessToken; - this.basePath = param.basePath; - this.baseOptions = param.baseOptions; - this.formDataCtor = param.formDataCtor; - if (!this.baseOptions) { - this.baseOptions = {}; - } - this.baseOptions.headers = Object.assign({ 'User-Agent': `OpenAI/NodeJS/${packageJson.version}`, 'Authorization': `Bearer ${this.apiKey}` }, this.baseOptions.headers); - if (this.organization) { - this.baseOptions.headers['OpenAI-Organization'] = this.organization; - } - if (!this.formDataCtor) { - this.formDataCtor = require("form-data"); - } - } - /** - * Check if the given MIME is a JSON MIME. - * JSON MIME examples: - * application/json - * application/json; charset=UTF8 - * APPLICATION/JSON - * application/vnd.company+json - * @param mime - MIME (Multipurpose Internet Mail Extensions) - * @return True if the given MIME is JSON, false otherwise. - */ - isJsonMime(mime) { - const jsonMime = new RegExp('^(application\/json|[^;/ \t]+\/[^;/ \t]+[+]json)[ \t]*(;.*)?$', 'i'); - return mime !== null && (jsonMime.test(mime) || mime.toLowerCase() === 'application/json-patch+json'); - } -} -exports.Configuration = Configuration; diff --git a/dist/index.d.ts b/dist/index.d.ts deleted file mode 100644 index 80ab07ba6..000000000 --- a/dist/index.d.ts +++ /dev/null @@ -1,13 +0,0 @@ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -export * from "./api"; -export * from "./configuration"; diff --git a/dist/index.js b/dist/index.js deleted file mode 100644 index 58f44dc9f..000000000 --- a/dist/index.js +++ /dev/null @@ -1,27 +0,0 @@ -"use strict"; -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } }); -}) : (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - o[k2] = m[k]; -})); -var __exportStar = (this && this.__exportStar) || function(m, exports) { - for (var p in m) if (p !== "default" && !exports.hasOwnProperty(p)) __createBinding(exports, m, p); -}; -Object.defineProperty(exports, "__esModule", { value: true }); -__exportStar(require("./api"), exports); -__exportStar(require("./configuration"), exports); diff --git a/ecosystem-tests/cli.ts b/ecosystem-tests/cli.ts new file mode 100644 index 000000000..228d08654 --- /dev/null +++ b/ecosystem-tests/cli.ts @@ -0,0 +1,414 @@ +import fs from 'fs/promises'; +import execa from 'execa'; +import yargs from 'yargs'; +import assert from 'assert'; +import path from 'path'; + +const TAR_NAME = 'openai.tgz'; +const PACK_FILE = `.pack/${TAR_NAME}`; + +const projects = { + 'ts-browser-webpack': async () => { + await installPackage(); + + await run('npm', ['run', 'tsc']); + await run('npm', ['run', 'build']); + + if (state.live) { + await run('npm', ['run', 'test:ci']); + } + }, + 'vercel-edge': async () => { + await installPackage(); + + await run('npm', ['run', 'build']); + + if (state.deploy) { + await run('npm', ['run', 'vercel', 'deploy', '--prod', '--force']); + } + }, + 'cloudflare-worker': async () => { + await installPackage(); + + await run('npm', ['run', 'tsc']); + + if (state.live) { + await run('npm', ['run', 'test:ci']); + } + if (state.deploy) { + await run('npm', ['run', 'deploy']); + } + }, + 'node-ts-cjs': async () => { + await installPackage(); + + await run('npm', ['run', 'tsc']); + + if (state.live) { + await run('npm', ['test']); + } + }, + 'node-ts-cjs-dom': async () => { + await installPackage(); + await run('npm', ['run', 'tsc']); + }, + 'node-ts-esm': async () => { + await installPackage(); + + await run('npm', ['run', 'tsc']); + + if (state.live) { + await run('npm', ['run', 'test']); + } + }, + 'node-ts-esm-dom': async () => { + await installPackage(); + await run('npm', ['run', 'tsc']); + }, + deno: async () => { + await run('deno', ['task', 'install']); + await installPackage(); + const packFile = getPackFile(); + + const openaiDir = path.resolve( + process.cwd(), + 'node_modules', + '.deno', + 'openai@3.3.0', + 'node_modules', + 'openai', + ); + + await run('sh', ['-c', 'rm -rf *'], { cwd: openaiDir, stdio: 'inherit' }); + await run('tar', ['xzf', path.resolve(packFile)], { cwd: openaiDir, stdio: 'inherit' }); + await run('sh', ['-c', 'mv package/* .'], { cwd: openaiDir, stdio: 'inherit' }); + await run('sh', ['-c', 'rm -rf package'], { cwd: openaiDir, stdio: 'inherit' }); + + await run('deno', ['task', 'check']); + if (state.live) await run('deno', ['task', 'test']); + }, +}; + +const projectNames = Object.keys(projects) as Array; + +function parseArgs() { + return yargs(process.argv.slice(2)) + .scriptName('ecosystem-tests') + .usage('run tests using various different project setups') + + .positional('projects', { + type: 'string', + array: true, + choices: projectNames, + }) + + .options({ + verbose: { + type: 'boolean', + default: false, + }, + skipPack: { + type: 'boolean', + default: false, + }, + fromNpm: { + type: 'string', + description: 'Test installing from a given NPM package instead of the local package', + }, + live: { + type: 'boolean', + default: false, + description: 'Make live API requests', + }, + deploy: { + type: 'boolean', + default: false, + description: 'Push projects to live servers', + }, + jobs: { + type: 'number', + default: 1, + description: 'number of parallel jobs to run', + }, + retry: { + type: 'number', + default: 0, + description: 'number of times to retry failing jobs', + }, + parallel: { + type: 'boolean', + default: false, + description: 'run all projects in parallel (jobs = # projects)', + }, + }) + .help().argv; +} + +type Args = Awaited>; + +let state: Args & { rootDir: string }; + +async function main() { + const args = (await parseArgs()) as Args; + console.error(`args:`, args); + + const rootDir = await packageDir(); + console.error(`rootDir:`, rootDir); + + state = { ...args, rootDir }; + + process.chdir(rootDir); + + if (!args.skipPack) { + await buildPackage(); + } + + // For some reason `yargs` doesn't pick up the positional args correctly + const projectsToRun = ( + args.projects?.length ? args.projects + : args._.length ? args._ + : projectNames) as typeof projectNames; + console.error(`running projects: ${projectsToRun}`); + + const failed: typeof projectNames = []; + + let { jobs } = args; + if (args.parallel) jobs = projectsToRun.length; + if (jobs > 1) { + const queue = [...projectsToRun]; + const runningProjects = new Set(); + + const cursorLeft = '\x1B[G'; + const eraseLine = '\x1B[2K'; + + let progressDisplayed = false; + function clearProgress() { + if (progressDisplayed) { + process.stderr.write(cursorLeft + eraseLine); + progressDisplayed = false; + } + } + const spinner = ['|', '/', '-', '\\']; + + function showProgress() { + clearProgress(); + progressDisplayed = true; + const spin = spinner[Math.floor(Date.now() / 500) % spinner.length]; + process.stderr.write( + `${spin} Running ${[...runningProjects].join(', ')}`.substring(0, process.stdout.columns - 3) + '...', + ); + } + + const progressInterval = setInterval(showProgress, process.stdout.isTTY ? 500 : 5000); + showProgress(); + + await Promise.all( + [...Array(jobs).keys()].map(async () => { + while (queue.length) { + const project = queue.shift(); + if (!project) break; + + let stdout, stderr; + try { + runningProjects.add(project); + const result = await execa( + 'yarn', + [ + 'tsn', + __filename, + project, + '--skip-pack', + `--retry=${args.retry}`, + ...(args.live ? ['--live'] : []), + ...(args.verbose ? ['--verbose'] : []), + ...(args.deploy ? ['--deploy'] : []), + ...(args.fromNpm ? ['--from-npm'] : []), + ], + { stdio: 'pipe', encoding: 'utf8', maxBuffer: 100 * 1024 * 1024 }, + ); + ({ stdout, stderr } = result); + } catch (error) { + ({ stdout, stderr } = error as any); + failed.push(project); + } finally { + runningProjects.delete(project); + } + + if (stdout) process.stdout.write(stdout); + if (stderr) process.stderr.write(stderr); + } + }), + ); + + clearInterval(progressInterval); + clearProgress(); + } else { + for (const project of projectsToRun) { + const fn = projects[project]; + + await withChdir(path.join(rootDir, 'ecosystem-tests', project), async () => { + console.error('\n'); + console.error(banner(project)); + console.error('\n'); + + try { + await withRetry(fn, project, state.retry) + console.error(`✅ - Successfully ran ${project}`); + } catch (err) { + if (err && (err as any).shortMessage) { + console.error('❌', (err as any).shortMessage); + } else { + console.error('❌', err); + } + failed.push(project); + } + console.error('\n'); + }); + } + } + + if (failed.length) { + console.error(`${failed.length} project(s) failed - ${failed.join(', ')}`); + process.exit(1); + } + console.error(); + process.exit(0); +} + +async function withRetry(fn: () => Promise, identifier: string, retryAmount: number): Promise { + do { + try { + return await fn() + } catch (err) { + console.error(`${identifier} failed due to ${err}; retries left ${retryAmount}`) + } + + retryAmount--; + } while (retryAmount > 0) +} + +function centerPad(text: string, width = text.length, char = ' '): string { + return text.padStart(Math.floor((width + text.length) / 2), char).padEnd(width, char); +} + +function banner(name: string, width = 80): string { + function line(text = ''): string { + if (text) text = centerPad(text, width - 40); + return centerPad(text, width, '/'); + } + return [line(), line(), line(' '), line(name), line(' '), line(), line()].join('\n'); +} + +module.exports = banner; + +async function buildPackage() { + if (state.fromNpm) { + return; + } + + await run('yarn', ['build']); + + if (!(await pathExists('.pack'))) { + await fs.mkdir('.pack'); + } + + const proc = await run('npm', ['pack', '--ignore-scripts', '--json'], { + cwd: path.join(process.cwd(), 'dist'), + alwaysPipe: true, + }); + + const pack = JSON.parse(proc.stdout); + assert(Array.isArray(pack), `Expected pack output to be an array but got ${typeof pack}`); + assert(pack.length === 1, `Expected pack output to be an array of length 1 but got ${pack.length}`); + + const filename = path.join('dist', (pack[0] as any).filename); + console.error({ filename }); + + await fs.rename(filename, PACK_FILE); + console.error(`Successfully created tarball at ${PACK_FILE}`); +} + +async function installPackage() { + if (state.fromNpm) { + await run('npm', ['install', '-D', state.fromNpm]); + return; + } + + const packFile = getPackFile(); + await fs.copyFile(packFile, `./${TAR_NAME}`); + return await run('npm', ['install', '-D', `./${TAR_NAME}`]); +} + +function getPackFile() { + return path.relative(process.cwd(), path.join(state.rootDir, PACK_FILE)); +} + +// ------------------ helpers ------------------ + +interface RunOpts extends execa.Options { + alwaysPipe?: boolean; +} + +async function run(command: string, args: string[], config?: RunOpts): Promise { + if (state.verbose && !config?.alwaysPipe) { + config = { ...config, stdio: 'inherit' }; + } + + console.debug('[run]:', command, ...args); + try { + return await execa(command, args, config); + } catch (error) { + if (error instanceof Object && !state.verbose) { + const { stderr } = error as any; + if (stderr) process.stderr.write(stderr); + } + throw error; + } +} + +async function withChdir(newDir: string, fn: () => Promise): Promise { + const oldDir = process.cwd(); + + try { + process.chdir(newDir); + return await fn(); + } finally { + process.chdir(oldDir); + } +} + +function checkNever(x: never, detail: any = x): never { + // eslint-disable-next-line @typescript-eslint/restrict-template-expressions + throw new Error(`checkNever: impossible to call: ${detail}`); +} + +async function pathExists(path: string) { + try { + await fs.access(path); + return true; + } catch (error) { + return false; + } +} + +/** + * Find closest parent directory that contains a file `package.json` + */ +export const packageDir = async (): Promise => { + let currentDir = process.cwd(); + const root = path.parse(currentDir).root; + while (currentDir !== root) { + const filepath = path.resolve(currentDir, 'package.json'); + if (await pathExists(filepath)) { + return currentDir; + } + currentDir = path.resolve(currentDir, '..'); + } + + throw new Error('Package directory not found'); +}; + +main().catch((err) => { + console.error(err); + process.exit(1); +}); diff --git a/ecosystem-tests/cloudflare-worker/.editorconfig b/ecosystem-tests/cloudflare-worker/.editorconfig new file mode 100644 index 000000000..64ab2601f --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/.editorconfig @@ -0,0 +1,13 @@ +# http://editorconfig.org +root = true + +[*] +indent_style = tab +tab_width = 2 +end_of_line = lf +charset = utf-8 +trim_trailing_whitespace = true +insert_final_newline = true + +[*.yml] +indent_style = space diff --git a/ecosystem-tests/cloudflare-worker/.prettierrc b/ecosystem-tests/cloudflare-worker/.prettierrc new file mode 100644 index 000000000..5c7b5d3c7 --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/.prettierrc @@ -0,0 +1,6 @@ +{ + "printWidth": 140, + "singleQuote": true, + "semi": true, + "useTabs": true +} diff --git a/ecosystem-tests/cloudflare-worker/jest.config.cjs b/ecosystem-tests/cloudflare-worker/jest.config.cjs new file mode 100644 index 000000000..f1f0f38aa --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/jest.config.cjs @@ -0,0 +1,9 @@ +/** @type {import('ts-jest/dist/types').InitialOptionsTsJest} */ +module.exports = { + transform: {}, + testEnvironment: 'node', + testMatch: ['/tests/*.js'], + watchPathIgnorePatterns: ['/node_modules/'], + verbose: 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"0.0.0", + "private": true, + "type": "module", + "scripts": { + "tsc": "tsc && tsc -p tsconfig.check.json", + "deploy": "wrangler publish", + "start": "wrangler dev", + "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js", + "test:ci": "WAIT_ON_INTERVAL=10000 start-server-and-test start http://localhost:8787 test" + }, + "devDependencies": { + "@cloudflare/workers-types": "^4.20230419.0", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "start-server-and-test": "^2.0.0", + "ts-jest": "^29.1.0", + "typescript": "^5.0.4", + "wrangler": "^3.0.0" + }, + "dependencies": { + "node-fetch": "^3.3.1" + } +} diff --git a/ecosystem-tests/cloudflare-worker/src/uploadWebApiTestCases.ts b/ecosystem-tests/cloudflare-worker/src/uploadWebApiTestCases.ts new file mode 100644 index 000000000..f915a6794 --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/src/uploadWebApiTestCases.ts @@ -0,0 +1,112 @@ +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio/transcriptions'; + +/** + * Tests uploads using various Web API data objects. + * This is structured to support running these tests on builtins in the environment in + * Node or Cloudflare workers etc. or on polyfills like from node-fetch/formdata-node + */ +export function uploadWebApiTestCases({ + client, + it, + expectEqual, + expectSimilar, +}: { + /** + * OpenAI client instance + */ + client: OpenAI; + /** + * Jest it() function, or an imitation in envs like Cloudflare workers + */ + it: (desc: string, handler: () => Promise) => void; + /** + * Jest expect(a).toEqual(b) function, or an imitation in envs like Cloudflare workers + */ + expectEqual(a: unknown, b: unknown): void; + /** + * Assert that the levenshtein distance between the two given strings is less than the given max distance. + */ + expectSimilar(received: string, expected: string, maxDistance: number): void; +}) { + const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; + const filename = 'sample-1.mp3'; + + const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; + const model = 'whisper-1'; + + async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); + } + + it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expectSimilar(chunks.map((c) => c.choices[0]?.delta.content || '').join(''), 'This is a test', 10); + }); + + it('handles File', async () => { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new File([x], filename)); + + const params: TranscriptionCreateParams = { file, model }; + + const result = await client.audio.transcriptions.create(params); + expectSimilar(result.text, correctAnswer, 12); + }); + + it('handles Response', async () => { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expectSimilar(result.text, correctAnswer, 12); + }); + + const fineTune = `{"prompt": "", "completion": ""}`; + + it('toFile handles string', async () => { + // @ts-expect-error we don't type support for `string` to avoid a footgun with passing the file path + const file = await toFile(fineTune, 'finetune.jsonl'); + const result = await client.files.create({ file, purpose: 'fine-tune' }); + expectEqual(result.status, 'uploaded'); + }); + it('toFile handles Blob', async () => { + const result = await client.files.create({ file: await toFile(new Blob([fineTune]), 'finetune.jsonl'), purpose: 'fine-tune' }); + expectEqual(result.status, 'uploaded'); + }); + it('toFile handles Uint8Array', async () => { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expectEqual(result.status, 'uploaded'); + }); + it('toFile handles ArrayBuffer', async () => { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune).buffer, 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expectEqual(result.status, 'uploaded'); + }); + it('toFile handles DataView', async () => { + const result = await client.files.create({ + file: await toFile(new DataView(new TextEncoder().encode(fineTune).buffer), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expectEqual(result.status, 'uploaded'); + }); +} diff --git a/ecosystem-tests/cloudflare-worker/src/worker.ts b/ecosystem-tests/cloudflare-worker/src/worker.ts new file mode 100644 index 000000000..9e6b935bd --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/src/worker.ts @@ -0,0 +1,100 @@ +import { distance } from 'fastest-levenshtein'; + +/** + * Welcome to Cloudflare Workers! This is your first worker. + * + * - Run `npm run dev` in your terminal to start a development server + * - Open a browser tab at http://localhost:8787/ to see your worker in action + * - Run `npm run deploy` to publish your worker + * + * Learn more at https://developers.cloudflare.com/workers/ + */ + +export interface Env { + // Example binding to KV. Learn more at https://developers.cloudflare.com/workers/runtime-apis/kv/ + // MY_KV_NAMESPACE: KVNamespace; + // + // Example binding to Durable Object. Learn more at https://developers.cloudflare.com/workers/runtime-apis/durable-objects/ + // MY_DURABLE_OBJECT: DurableObjectNamespace; + // + // Example binding to R2. Learn more at https://developers.cloudflare.com/workers/runtime-apis/r2/ + // MY_BUCKET: R2Bucket; + // + // Example binding to a Service. Learn more at https://developers.cloudflare.com/workers/runtime-apis/service-bindings/ + // MY_SERVICE: Fetcher; + // + // Example binding to a Queue. Learn more at https://developers.cloudflare.com/queues/javascript-apis/ + // MY_QUEUE: Queue; + + OPENAI_API_KEY: string; +} + +type Test = { description: string; handler: () => Promise }; + +export default { + async fetch(request: Request, env: Env, ctx: ExecutionContext): Promise { + try { + console.error('importing openai'); + const { default: OpenAI } = await import('openai'); + console.error('importing test cases'); + const { uploadWebApiTestCases } = await import('./uploadWebApiTestCases.js'); + console.error('creating client'); + const client = new OpenAI({ apiKey: env.OPENAI_API_KEY }); + console.error('created client'); + + const tests: Test[] = []; + function it(description: string, handler: () => Promise) { + tests.push({ description, handler }); + } + function expectEqual(a: any, b: any) { + if (!Object.is(a, b)) { + throw new Error(`expected values to be equal: ${JSON.stringify({ a, b })}`); + } + } + function expectSimilar(received: string, expected: string, maxDistance: number) { + const receivedDistance = distance(received, expected); + if (receivedDistance < maxDistance) { + return; + } + + const message = [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(expected)}`, + `Max distance: ${maxDistance}`, + `Received distance: ${receivedDistance}`, + ].join('\n'); + + throw new Error(message); + } + + uploadWebApiTestCases({ + client: client as any, + it, + expectEqual, + expectSimilar, + }); + + let allPassed = true; + const results = []; + + for (const { description, handler } of tests) { + console.error('running', description); + let result; + try { + result = await handler(); + console.error('passed ', description); + } catch (error) { + console.error('failed ', description, error); + allPassed = false; + result = error instanceof Error ? error.stack : String(error); + } + results.push(`${description}\n\n${String(result)}`); + } + + return new Response(allPassed ? 'Passed!' : results.join('\n\n')); + } catch (error) { + console.error(error instanceof Error ? error.stack : String(error)); + return new Response(error instanceof Error ? error.stack : String(error), { status: 500 }); + } + }, +}; diff --git a/ecosystem-tests/cloudflare-worker/tests/test.js b/ecosystem-tests/cloudflare-worker/tests/test.js new file mode 100644 index 000000000..0fc5044a6 --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/tests/test.js @@ -0,0 +1,9 @@ +import fetch from 'node-fetch'; + +it( + 'works', + async () => { + expect(await (await fetch('http://localhost:8787')).text()).toEqual('Passed!'); + }, + 3 * 60000 +); diff --git a/ecosystem-tests/cloudflare-worker/tsconfig.check.json b/ecosystem-tests/cloudflare-worker/tsconfig.check.json new file mode 100644 index 000000000..22d6f227b --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/tsconfig.check.json @@ -0,0 +1,8 @@ +{ + "extends": "./tsconfig.json", + "include": ["src"], + "exclude": ["tests", "jest.config.cjs"], + "compilerOptions": { + "skipLibCheck": false + } +} diff --git a/ecosystem-tests/cloudflare-worker/tsconfig.json b/ecosystem-tests/cloudflare-worker/tsconfig.json new file mode 100644 index 000000000..72dc410d8 --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/tsconfig.json @@ -0,0 +1,101 @@ +{ + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + + /* Projects */ + // "incremental": true, /* Enable incremental compilation */ + // "composite": true, /* Enable constraints that allow a TypeScript project to be used with project references. */ + // "tsBuildInfoFile": "./", /* Specify the folder for .tsbuildinfo incremental compilation files. */ + // "disableSourceOfProjectReferenceRedirect": true, /* Disable preferring source files instead of declaration files when referencing composite projects */ + // "disableSolutionSearching": true, /* Opt a project out of multi-project reference checking when editing. */ + // "disableReferencedProjectLoad": true, /* Reduce the number of projects loaded automatically by TypeScript. */ + + /* Language and Environment */ + "target": "es2021" /* Set the JavaScript language version for emitted JavaScript and include compatible library declarations. */, + "lib": ["es2021"] /* Specify a set of bundled library declaration files that describe the target runtime environment. */, + "jsx": "react" /* Specify what JSX code is generated. */, + // "experimentalDecorators": true, /* Enable experimental support for TC39 stage 2 draft decorators. */ + // "emitDecoratorMetadata": true, /* Emit design-type metadata for decorated declarations in source files. */ + // "jsxFactory": "", /* Specify the JSX factory function used when targeting React JSX emit, e.g. 'React.createElement' or 'h' */ + // "jsxFragmentFactory": "", /* Specify the JSX Fragment reference used for fragments when targeting React JSX emit e.g. 'React.Fragment' or 'Fragment'. */ + // "jsxImportSource": "", /* Specify module specifier used to import the JSX factory functions when using `jsx: react-jsx*`.` */ + // "reactNamespace": "", /* Specify the object invoked for `createElement`. This only applies when targeting `react` JSX emit. */ + // "noLib": true, /* Disable including any library files, including the default lib.d.ts. */ + // "useDefineForClassFields": true, /* Emit ECMAScript-standard-compliant class fields. */ + + /* Modules */ + "module": "es2022" /* Specify what module code is generated. */, + // "rootDir": "./", /* Specify the root folder within your source files. */ + "moduleResolution": "bundler" /* Specify how TypeScript looks up a file from a given module specifier. */, + // "baseUrl": "./", /* Specify the base directory to resolve non-relative module names. */ + // "paths": {}, /* Specify a set of entries that re-map imports to additional lookup locations. */ + // "rootDirs": [], /* Allow multiple folders to be treated as one when resolving modules. */ + // "typeRoots": [], /* Specify multiple folders that act like `./node_modules/@types`. */ + "types": ["@cloudflare/workers-types"] /* Specify type package names to be included without being referenced in a source file. */, + // "allowUmdGlobalAccess": true, /* Allow accessing UMD globals from modules. */ + // "resolveJsonModule": true /* Enable importing .json files */, + // "noResolve": true, /* Disallow `import`s, `require`s or ``s from expanding the number of files TypeScript should add to a project. */ + + /* JavaScript Support */ + "allowJs": true /* Allow JavaScript files to be a part of your program. Use the `checkJS` option to get errors from these files. */, + "checkJs": false /* Enable error reporting in type-checked JavaScript files. */, + // "maxNodeModuleJsDepth": 1, /* Specify the maximum folder depth used for checking JavaScript files from `node_modules`. Only applicable with `allowJs`. */ + + /* Emit */ + // "declaration": true, /* Generate .d.ts files from TypeScript and JavaScript files in your project. */ + // "declarationMap": true, /* Create sourcemaps for d.ts files. */ + // "emitDeclarationOnly": true, /* Only output d.ts files and not JavaScript files. */ + // "sourceMap": true, /* Create source map files for emitted JavaScript files. */ + // "outFile": "./", /* Specify a file that bundles all outputs into one JavaScript file. If `declaration` is true, also designates a file that bundles all .d.ts output. */ + // "outDir": "./", /* Specify an output folder for all emitted files. */ + // "removeComments": true, /* Disable emitting comments. */ + "noEmit": true /* Disable emitting files from a compilation. */, + // "importHelpers": true, /* Allow importing helper functions from tslib once per project, instead of including them per-file. */ + // "importsNotUsedAsValues": "remove", /* Specify emit/checking behavior for imports that are only used for types */ + // "downlevelIteration": true, /* Emit more compliant, but verbose and less performant JavaScript for iteration. */ + // "sourceRoot": "", /* Specify the root path for debuggers to find the reference source code. */ + // "mapRoot": "", /* Specify the location where debugger should locate map files instead of generated locations. */ + // "inlineSourceMap": true, /* Include sourcemap files inside the emitted JavaScript. */ + // "inlineSources": true, /* Include source code in the sourcemaps inside the emitted JavaScript. */ + // "emitBOM": true, /* Emit a UTF-8 Byte Order Mark (BOM) in the beginning of output files. */ + // "newLine": "crlf", /* Set the newline character for emitting files. */ + // "stripInternal": true, /* Disable emitting declarations that have `@internal` in their JSDoc comments. */ + // "noEmitHelpers": true, /* Disable generating custom helper functions like `__extends` in compiled output. */ + // "noEmitOnError": true, /* Disable emitting files if any type checking errors are reported. */ + // "preserveConstEnums": true, /* Disable erasing `const enum` declarations in generated code. */ + // "declarationDir": "./", /* Specify the output directory for generated declaration files. */ + // "preserveValueImports": true, /* Preserve unused imported values in the JavaScript output that would otherwise be removed. */ + + /* Interop Constraints */ + "isolatedModules": true /* Ensure that each file can be safely transpiled without relying on other imports. */, + "allowSyntheticDefaultImports": true /* Allow 'import x from y' when a module doesn't have a default export. */, + // "esModuleInterop": true /* Emit additional JavaScript to ease support for importing CommonJS modules. This enables `allowSyntheticDefaultImports` for type compatibility. */, + // "preserveSymlinks": true, /* Disable resolving symlinks to their realpath. This correlates to the same flag in node. */ + "forceConsistentCasingInFileNames": true /* Ensure that casing is correct in imports. */, + + /* Type Checking */ + "strict": true /* Enable all strict type-checking options. */, + // "noImplicitAny": true, /* Enable error reporting for expressions and declarations with an implied `any` type.. */ + // "strictNullChecks": true, /* When type checking, take into account `null` and `undefined`. */ + // "strictFunctionTypes": true, /* When assigning functions, check to ensure parameters and the return values are subtype-compatible. */ + // "strictBindCallApply": true, /* Check that the arguments for `bind`, `call`, and `apply` methods match the original function. */ + // "strictPropertyInitialization": true, /* Check for class properties that are declared but not set in the constructor. */ + // "noImplicitThis": true, /* Enable error reporting when `this` is given the type `any`. */ + // "useUnknownInCatchVariables": true, /* Type catch clause variables as 'unknown' instead of 'any'. */ + // "alwaysStrict": true, /* Ensure 'use strict' is always emitted. */ + // "noUnusedLocals": true, /* Enable error reporting when a local variables aren't read. */ + // "noUnusedParameters": true, /* Raise an error when a function parameter isn't read */ + // "exactOptionalPropertyTypes": true, /* Interpret optional property types as written, rather than adding 'undefined'. */ + // "noImplicitReturns": true, /* Enable error reporting for codepaths that do not explicitly return in a function. */ + // "noFallthroughCasesInSwitch": true, /* Enable error reporting for fallthrough cases in switch statements. */ + // "noUncheckedIndexedAccess": true, /* Include 'undefined' in index signature results */ + // "noImplicitOverride": true, /* Ensure overriding members in derived classes are marked with an override modifier. */ + // "noPropertyAccessFromIndexSignature": true, /* Enforces using indexed accessors for keys declared using an indexed type */ + // "allowUnusedLabels": true, /* Disable error reporting for unused labels. */ + // "allowUnreachableCode": true, /* Disable error reporting for unreachable code. */ + + /* Completeness */ + // "skipDefaultLibCheck": true, /* Skip type checking .d.ts files that are included with TypeScript. */ + "skipLibCheck": true /* Skip type checking all .d.ts files. */ + } +} diff --git a/ecosystem-tests/cloudflare-worker/wrangler.toml b/ecosystem-tests/cloudflare-worker/wrangler.toml new file mode 100644 index 000000000..e693724f4 --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/wrangler.toml @@ -0,0 +1,43 @@ +name = "cfw" +main = "src/worker.ts" +compatibility_date = "2023-06-18" +#node_compat = true + +# # KV Namespace binding - For more information: https://developers.cloudflare.com/workers/runtime-apis/kv +# [[kv_namespaces]] +# binding = "MY_KV_NAMESPACE" +# id = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" + +# # Durable Object binding - For more information: https://developers.cloudflare.com/workers/runtime-apis/durable-objects +# [[durable_objects]] +# binding = "MY_DURABLE_OBJECT" +# class_name = "MyDurableObject" + +# # Bucket binding - For more information: https://developers.cloudflare.com/workers/runtime-apis/kv#bucket +# [[buckets]] +# binding = "MY_BUCKET" +# name = "my-bucket" +# bucket_id = "yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyy" + +# # Service binding - For more information: https://developers.cloudflare.com/workers/platform/services +# [[routes]] +# binding = "MY_SERVICE" +# pattern = "/api/*" +# script = "api.js" + +# # Queue binding - For more information: https://developers.cloudflare.com/workers/runtime-apis/queues +# [[queues]] +# binding = "MY_QUEUE" +# name = "my-queue" +# zone_id = "zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz" + +# [env.production] +# MY_VARIABLE = "production_value" + +# [env.staging] +# MY_VARIABLE = "staging_value" + +# [env.shared] +# SHARED_VARIABLE = "shared_value" + +[vars] diff --git 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b/ecosystem-tests/deno/main_test.ts new file mode 100644 index 000000000..4bed6a076 --- /dev/null +++ b/ecosystem-tests/deno/main_test.ts @@ -0,0 +1,96 @@ +import { assertEquals, AssertionError } from 'https://deno.land/std@0.192.0/testing/asserts.ts'; +import OpenAI, { toFile } from 'npm:openai@3.3.0'; +import { distance } from 'https://deno.land/x/fastest_levenshtein/mod.ts'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI({ apiKey: Deno.env.get('OPENAI_API_KEY') }); + +async function _typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +function assertSimilar(received: string, expected: string, maxDistance: number) { + const receivedDistance = distance(received, expected); + if (receivedDistance < maxDistance) { + return; + } + + const message = [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(expected)}`, + `Max distance: ${maxDistance}`, + `Received distance: ${receivedDistance}`, + ].join('\n'); + + throw new AssertionError(message); +} + +Deno.test(async function streamingWorks() { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + assertSimilar(chunks.map((c) => c.choices[0]?.delta.content || '').join(''), 'This is a test', 10); +}); + +Deno.test(async function handlesFile() { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + assertSimilar(result.text, correctAnswer, 12); +}); +Deno.test(async function handlesResponse() { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + assertSimilar(result.text, correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +Deno.test(async function toFileHandlesBlob() { + const result = await client.files.create({ + file: await toFile(new Blob([fineTune]), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + assertEquals(result.status, 'uploaded'); +}); +Deno.test(async function toFileHandlesUint8Array() { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + assertEquals(result.status, 'uploaded'); +}); +Deno.test(async function toFileHandlesArrayBuffer() { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune).buffer, 'finetune.jsonl'), + purpose: 'fine-tune', + }); + assertEquals(result.status, 'uploaded'); +}); +Deno.test(async function toFileHandlesDataView() { + const result = await client.files.create({ + file: await toFile(new DataView(new TextEncoder().encode(fineTune).buffer), 'finetune.json'), + purpose: 'fine-tune', + }); + assertEquals(result.status, 'uploaded'); +}); diff --git a/ecosystem-tests/deno/package-lock.json b/ecosystem-tests/deno/package-lock.json new file mode 100644 index 000000000..99ead654a --- /dev/null +++ b/ecosystem-tests/deno/package-lock.json @@ -0,0 +1,98 @@ +{ + "name": "deno", + "lockfileVersion": 3, + "requires": true, + "packages": { + "node_modules/.deno/asynckit@0.4.0/node_modules/asynckit": { + "version": "0.4.0", + "extraneous": true, + "license": "MIT", + "devDependencies": { + "browserify": "^13.0.0", + "browserify-istanbul": "^2.0.0", + "coveralls": "^2.11.9", + "eslint": "^2.9.0", + "istanbul": "^0.4.3", + "obake": "^0.1.2", + "phantomjs-prebuilt": "^2.1.7", + "pre-commit": "^1.1.3", + "reamde": "^1.1.0", + "rimraf": "^2.5.2", + "size-table": "^0.2.0", + "tap-spec": "^4.1.1", + "tape": "^4.5.1" + } + }, + "node_modules/.deno/axios@0.26.1": {}, + 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"node-fetch": "^2.6.1", + "tsconfig-paths": "^4.0.0" + }, + "devDependencies": { + "@types/node": "^17.0.9", + "@types/node-fetch": "^2.6.1", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "ts-jest": "^29.1.0", + "typescript": "^4.9.3" + } +} diff --git a/ecosystem-tests/node-ts-cjs-dom/sample1.mp3 b/ecosystem-tests/node-ts-cjs-dom/sample1.mp3 new file mode 100644 index 000000000..1e787cd7c Binary files /dev/null and b/ecosystem-tests/node-ts-cjs-dom/sample1.mp3 differ diff --git a/ecosystem-tests/node-ts-cjs-dom/tests/test.ts b/ecosystem-tests/node-ts-cjs-dom/tests/test.ts new file mode 100644 index 000000000..7afbaa545 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-dom/tests/test.ts @@ -0,0 +1,148 @@ +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio/transcriptions'; +import fetch from 'node-fetch'; +import { File as FormDataFile, Blob as FormDataBlob } from 'formdata-node'; +import * as fs from 'fs'; +import { distance } from 'fastest-levenshtein'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI(); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +it('handles formdata-node File', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new FormDataFile([x], filename)); + + const params: TranscriptionCreateParams = { file, model }; + + const result = await client.audio.transcriptions.create(params); + expect(result.text).toEqual(correctAnswer); +}); + +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +it('handles fs.ReadStream', async function () { + const result = await client.audio.transcriptions.create({ + file: fs.createReadStream('sample1.mp3'), + model, + }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + it('handles form-data Blob', async function () { + const result = await client.files.create({ + file: await toFile(new FormDataBlob([new TextEncoder().encode(fineTune)]), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile(new Blob([new TextEncoder().encode(fineTune)]), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune).buffer, 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile(new DataView(new TextEncoder().encode(fineTune).buffer), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); +}); diff --git a/ecosystem-tests/node-ts-cjs-dom/tsconfig.json b/ecosystem-tests/node-ts-cjs-dom/tsconfig.json new file mode 100644 index 000000000..48cf9dadf --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-dom/tsconfig.json @@ -0,0 +1,54 @@ +{ + "exclude": ["node_modules"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022", "DOM"], + "jsx": "react", + + /* Modules */ + "module": "commonjs", + "rootDir": "./", + "moduleResolution": "node", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": true + } +} diff --git a/ecosystem-tests/node-ts-cjs-dom/tsconfig.nodenext.json b/ecosystem-tests/node-ts-cjs-dom/tsconfig.nodenext.json new file mode 100644 index 000000000..d658ee142 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-dom/tsconfig.nodenext.json @@ -0,0 +1,54 @@ +{ + "exclude": ["node_modules"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022", "DOM"], + "jsx": "react", + + /* Modules */ + "module": "commonjs", + "rootDir": "./", + "moduleResolution": "NodeNext", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": true + } +} diff --git a/ecosystem-tests/node-ts-cjs/jest.config.cjs b/ecosystem-tests/node-ts-cjs/jest.config.cjs new file mode 100644 index 000000000..b08ea4311 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/jest.config.cjs @@ -0,0 +1,9 @@ +/** @type {import('ts-jest/dist/types').InitialOptionsTsJest} */ +module.exports = { + preset: 'ts-jest', + testEnvironment: 'node', + testMatch: ['/tests/*.ts'], + watchPathIgnorePatterns: ['/node_modules/'], + verbose: false, + testTimeout: 60000, +}; diff --git a/ecosystem-tests/node-ts-cjs/package-lock.json b/ecosystem-tests/node-ts-cjs/package-lock.json new file mode 100644 index 000000000..e0976e0ec --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/package-lock.json 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"node-fetch": "^2.6.1", + "tsconfig-paths": "^4.0.0" + }, + "devDependencies": { + "@types/node": "^20.4.2", + "@types/node-fetch": "^2.6.1", + "@types/ws": "^8.5.4", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "ts-jest": "^29.1.0", + "typescript": "^4.9.3" + } +} diff --git a/ecosystem-tests/node-ts-cjs/sample1.mp3 b/ecosystem-tests/node-ts-cjs/sample1.mp3 new file mode 100644 index 000000000..1e787cd7c Binary files /dev/null and b/ecosystem-tests/node-ts-cjs/sample1.mp3 differ diff --git a/ecosystem-tests/node-ts-cjs/tests/test.ts b/ecosystem-tests/node-ts-cjs/tests/test.ts new file mode 100644 index 000000000..ea6d0a76b --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/tests/test.ts @@ -0,0 +1,173 @@ +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio/transcriptions'; +import fetch from 'node-fetch'; +import { File as FormDataFile, Blob as FormDataBlob } from 'formdata-node'; +import * as fs from 'fs'; +import { distance } from 'fastest-levenshtein'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI(); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +it('handles formdata-node File', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new FormDataFile([x], filename)); + + const params: TranscriptionCreateParams = { file, model }; + + const result = await client.audio.transcriptions.create(params); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +// @ts-ignore avoid DOM lib for testing purposes +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + // @ts-ignore avoid DOM lib for testing purposes + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +it('handles fs.ReadStream', async function () { + const result = await client.audio.transcriptions.create({ + file: fs.createReadStream('sample1.mp3'), + model, + }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + it('handles form-data Blob', async function () { + const result = await client.files.create({ + file: await toFile( + new FormDataBlob([ + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + ]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + // @ts-ignore avoid DOM lib for testing purposes + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new Blob([new TextEncoder().encode(fineTune)]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune).buffer, + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new DataView(new TextEncoder().encode(fineTune).buffer), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); +}); diff --git a/ecosystem-tests/node-ts-cjs/tsconfig.json b/ecosystem-tests/node-ts-cjs/tsconfig.json new file mode 100644 index 000000000..1efb97eb2 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/tsconfig.json @@ -0,0 +1,54 @@ +{ + "exclude": ["node_modules"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022"], + "jsx": "react", + + /* Modules */ + "module": "commonjs", + "rootDir": "./", + "moduleResolution": "node", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": false + } +} diff --git a/ecosystem-tests/node-ts-cjs/tsconfig.nodenext.json b/ecosystem-tests/node-ts-cjs/tsconfig.nodenext.json new file mode 100644 index 000000000..8f53f6764 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/tsconfig.nodenext.json @@ -0,0 +1,54 @@ +{ + "exclude": ["node_modules"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022"], + "jsx": "react", + + /* Modules */ + "module": "commonjs", + "rootDir": "./", + "moduleResolution": "NodeNext", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": false + } +} diff --git a/ecosystem-tests/node-ts-esm-dom/jest.config.cjs b/ecosystem-tests/node-ts-esm-dom/jest.config.cjs new file mode 100644 index 000000000..31e0a832f --- /dev/null +++ b/ecosystem-tests/node-ts-esm-dom/jest.config.cjs @@ -0,0 +1,23 @@ +/** @type {import('ts-jest/dist/types').InitialOptionsTsJest} */ 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+ "type": "module", + "private": true, + "scripts": { + "tsc": "tsc && tsc -p tsconfig.noderesolution.json", + "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js" + }, + "dependencies": { + "formdata-node": "^5.0.1", + "node-fetch": "^3.0.0" + }, + "devDependencies": { + "@types/node": "^20.3.1", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "ts-jest": "^29.1.0", + "ts-node": "^10.9.1", + "typescript": "^5.1.3" + } +} diff --git a/ecosystem-tests/node-ts-esm-dom/sample1.mp3 b/ecosystem-tests/node-ts-esm-dom/sample1.mp3 new file mode 100644 index 000000000..1e787cd7c Binary files /dev/null and b/ecosystem-tests/node-ts-esm-dom/sample1.mp3 differ diff --git a/ecosystem-tests/node-ts-esm-dom/tests/test.ts b/ecosystem-tests/node-ts-esm-dom/tests/test.ts new file mode 100644 index 000000000..42890a58c --- /dev/null +++ b/ecosystem-tests/node-ts-esm-dom/tests/test.ts @@ -0,0 +1,148 @@ +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio/transcriptions'; +import fetch from 'node-fetch'; +import { File as FormDataFile, Blob as FormDataBlob } from 'formdata-node'; +import * as fs from 'fs'; +import { distance } from 'fastest-levenshtein'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI(); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +it('handles formdata-node File', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new FormDataFile([x], filename)); + + const params: TranscriptionCreateParams = { file, model }; + + const result = await client.audio.transcriptions.create(params); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +it('handles fs.ReadStream', async function () { + const result = await client.audio.transcriptions.create({ + file: fs.createReadStream('sample1.mp3'), + model, + }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + it('handles form-data Blob', async function () { + const result = await client.files.create({ + file: await toFile(new FormDataBlob([new TextEncoder().encode(fineTune)]), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile(new Blob([new TextEncoder().encode(fineTune)]), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune).buffer, 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile(new DataView(new TextEncoder().encode(fineTune).buffer), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); +}); diff --git a/ecosystem-tests/node-ts-esm-dom/tsconfig.json b/ecosystem-tests/node-ts-esm-dom/tsconfig.json new file mode 100644 index 000000000..0d45c35f3 --- /dev/null +++ b/ecosystem-tests/node-ts-esm-dom/tsconfig.json @@ -0,0 +1,54 @@ +{ + "exclude": ["node_modules"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022", "DOM"], + "jsx": "react", + + /* Modules */ + "module": "ESNext", + "rootDir": "./", + "moduleResolution": "NodeNext", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": true + } +} diff --git a/ecosystem-tests/node-ts-esm-dom/tsconfig.noderesolution.json b/ecosystem-tests/node-ts-esm-dom/tsconfig.noderesolution.json new file mode 100644 index 000000000..09e7243b1 --- /dev/null +++ b/ecosystem-tests/node-ts-esm-dom/tsconfig.noderesolution.json @@ -0,0 +1,54 @@ +{ + "exclude": ["node_modules"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022", "DOM"], + "jsx": "react", + + /* Modules */ + "module": "ESNext", + "rootDir": "./", + "moduleResolution": "node", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + 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"module", + "private": true, + "scripts": { + "tsc": "tsc && tsc -p tsconfig.noderesolution.json", + "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js" + }, + "dependencies": { + "formdata-node": "^5.0.1", + "node-fetch": "^3.0.0" + }, + "devDependencies": { + "@types/node": "^20.3.1", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "ts-jest": "^29.1.0", + "ts-node": "^10.9.1", + "typescript": "^5.1.3" + } +} diff --git a/ecosystem-tests/node-ts-esm/sample1.mp3 b/ecosystem-tests/node-ts-esm/sample1.mp3 new file mode 100644 index 000000000..1e787cd7c Binary files /dev/null and b/ecosystem-tests/node-ts-esm/sample1.mp3 differ diff --git a/ecosystem-tests/node-ts-esm/tests/test.ts b/ecosystem-tests/node-ts-esm/tests/test.ts new file mode 100644 index 000000000..ea6d0a76b --- /dev/null +++ b/ecosystem-tests/node-ts-esm/tests/test.ts @@ -0,0 +1,173 @@ +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio/transcriptions'; +import fetch from 'node-fetch'; +import { File as FormDataFile, Blob as FormDataBlob } from 'formdata-node'; +import * as fs from 'fs'; +import { distance } from 'fastest-levenshtein'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI(); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +it('handles formdata-node File', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new FormDataFile([x], filename)); + + const params: TranscriptionCreateParams = { file, model }; + + const result = await client.audio.transcriptions.create(params); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +// @ts-ignore avoid DOM lib for testing purposes +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + // @ts-ignore avoid DOM lib for testing purposes + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +it('handles fs.ReadStream', async function () { + const result = await client.audio.transcriptions.create({ + file: fs.createReadStream('sample1.mp3'), + model, + }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + it('handles form-data Blob', async function () { + const result = await client.files.create({ + file: await toFile( + new FormDataBlob([ + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + ]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + // @ts-ignore avoid DOM lib for testing purposes + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new Blob([new TextEncoder().encode(fineTune)]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune).buffer, + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new DataView(new TextEncoder().encode(fineTune).buffer), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); +}); diff --git a/ecosystem-tests/node-ts-esm/tsconfig.json b/ecosystem-tests/node-ts-esm/tsconfig.json new file mode 100644 index 000000000..de2268490 --- /dev/null +++ b/ecosystem-tests/node-ts-esm/tsconfig.json @@ -0,0 +1,54 @@ +{ + "exclude": ["node_modules"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022"], + "jsx": "react", + + /* Modules */ + "module": "ESNext", + "rootDir": "./", + "moduleResolution": "NodeNext", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": true + } +} diff --git a/ecosystem-tests/node-ts-esm/tsconfig.noderesolution.json b/ecosystem-tests/node-ts-esm/tsconfig.noderesolution.json new file mode 100644 index 000000000..b14dc7f61 --- /dev/null +++ b/ecosystem-tests/node-ts-esm/tsconfig.noderesolution.json @@ -0,0 +1,54 @@ +{ + "exclude": ["node_modules"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022"], + "jsx": "react", + + /* Modules */ + "module": "ESNext", + "rootDir": "./", + "moduleResolution": "node", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": 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b/ecosystem-tests/ts-browser-webpack/package.json new file mode 100644 index 000000000..59dfc3c15 --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/package.json @@ -0,0 +1,29 @@ +{ + "name": "ts-browser-webpack", + "version": "0.0.1", + "private": true, + "description": "ts-browser-webpack", + "scripts": { + "tsc": "tsc", + "serve": "webpack-cli serve", + "build": "webpack", + "test": "ts-node src/test.ts", + "test:ci": "WAIT_ON_INTERVAL=10000 start-server-and-test serve http://localhost:8080 test" + }, + "devDependencies": { + "babel-core": "^6.26.3", + "babel-loader": "^9.1.2", + "babel-preset-es2015": "^6.24.1", + "fastest-levenshtein": "^1.0.16", + "force": "^0.0.3", + "html-webpack-plugin": "^5.5.3", + "puppeteer": "^20.8.3", + "start-server-and-test": "^2.0.0", + "ts-loader": "^9.4.3", + "ts-node": "^10.9.1", + "typescript": "^5.0.4", + "webpack": "^5.87.0", + "webpack-cli": "^5.0.2", + "webpack-dev-server": "^4.15.1" + } +} diff --git a/ecosystem-tests/ts-browser-webpack/public/index.html b/ecosystem-tests/ts-browser-webpack/public/index.html new file mode 100644 index 000000000..a2a781234 --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/public/index.html @@ -0,0 +1,10 @@ + + + + + Package in the Browser + + +
Running tests...
+ + diff --git a/ecosystem-tests/ts-browser-webpack/src/index.ts b/ecosystem-tests/ts-browser-webpack/src/index.ts new file mode 100644 index 000000000..415a27c82 --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/src/index.ts @@ -0,0 +1,177 @@ +import OpenAI, { toFile } from 'openai'; +import { distance } from 'fastest-levenshtein'; + +type TestCase = { + path: string[]; + run: () => any; + timeout?: number; +}; + +const tests: TestCase[] = []; + +type TestResult = { path: string[]; passed: boolean; error?: string }; + +async function runTests() { + const results: TestResult[] = []; + function displayResults() { + let pre = document.getElementById('results'); + if (!pre) { + pre = document.createElement('pre'); + pre.id = 'results'; + document.body.appendChild(pre); + } + pre.innerText = JSON.stringify(results, null, 2); + } + for (const { path, run, timeout } of tests) { + console.log('running', ...path); + try { + await Promise.race([ + run(), + new Promise((_, reject) => + setTimeout(() => reject(new Error(`Test timed out after ${timeout} ms`)), timeout), + ), + ]); + console.log('passed ', ...path); + results.push({ path, passed: true }); + } catch (error) { + console.log('error ', ...path); + console.error(error); + results.push({ path, passed: false, error: error instanceof Error ? error.stack : String(error) }); + } + displayResults(); + } + const runningEl = document.getElementById('running'); + if (runningEl) runningEl.remove(); +} + +const testPath: string[] = []; + +function describe(description: string, handler: () => void) { + testPath.push(description); + try { + handler(); + } finally { + testPath.pop(); + } +} + +function it(description: string, run: () => any, timeout = 60000) { + tests.push({ path: [...testPath, description], run, timeout }); +} + +function expect(received: any) { + return { + toEqual(expected: any): void { + if (!Object.is(received, expected)) { + throw new Error( + [`Received: ${JSON.stringify(received)}`, `Expected: ${JSON.stringify(expected)}`].join('\n'), + ); + } + }, + toBeSimilarTo(comparedTo: string, expectedDistance: number) { + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) return; + + throw new Error( + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'), + ); + }, + }; +} + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const params = new URLSearchParams(location.search); + +const client = new OpenAI({ apiKey: params.get('apiKey') ?? undefined, dangerouslyAllowBrowser: true }); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new Blob([new TextEncoder().encode(fineTune)]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune).buffer, 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile(new DataView(new TextEncoder().encode(fineTune).buffer), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.status).toEqual('uploaded'); + }); +}); + +runTests(); diff --git a/ecosystem-tests/ts-browser-webpack/src/test.ts b/ecosystem-tests/ts-browser-webpack/src/test.ts new file mode 100644 index 000000000..af60f2cc8 --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/src/test.ts @@ -0,0 +1,75 @@ +import puppeteer from 'puppeteer'; + +(async () => { + const browser = await puppeteer.launch({ + args: ['--no-sandbox'], + }); + let page; + try { + page = await browser.newPage(); + function debugEvent(subj: string) { + return subj.padEnd('requestfailed'.length); + } + page + .on('console', (message) => + console.error( + `${debugEvent('console')} ${message + .type() + .substr(0, 'warning'.length) + .toUpperCase() + .padEnd('warning'.length)} ${message.text()}`, + ), + ) + .on('pageerror', ({ message }) => console.error(`${debugEvent('pageerror')} ${message}`)) + .on('response', (response) => + console.error(`${debugEvent('response')} ${response.status()} ${response.url()}`), + ) + .on('requestfailed', (request) => + console.error(`${debugEvent('requestfailed')} ${request.failure()?.errorText} ${request.url()}`), + ); + + const apiKey = process.env.OPENAI_API_KEY; + + if (!apiKey) throw new Error('missing process.env.OPENAI_API_KEY'); + + // Navigate the page to a URL + await page.goto(`http://localhost:8080/index.html?apiKey=${apiKey}`); + + await page.waitForSelector('#running', { timeout: 15000 }); + + let start = Date.now(); + while ((await page.$('#running')) != null && Date.now() - start < 3 * 60000) { + await new Promise((r) => setTimeout(r, 1000)); + } + + let results; + const resultsEl = await page.$('#results'); + if (resultsEl) { + const text = await page.evaluate((el) => el.textContent, resultsEl); + results = text ? JSON.parse(text) : undefined; + } + + if (!Array.isArray(results)) { + throw new Error(`failed to get test results from page`); + } + const failed = results.filter((r) => !r.passed); + if (failed.length) { + throw new Error( + `${failed.length} of ${results.length} tests failed: ${JSON.stringify(failed, null, 2)}`, + ); + } + console.log(`${results.length} tests passed!`); + } catch (error) { + if (page) { + try { + const html = await page.evaluate(() => document.body.innerHTML); + console.error(`\n====================\nBODY HTML\n====================\n\n${html}\n\n`); + } catch (error) { + console.error(`failed to get body HTML for debugging`, error); + } + } + throw error; + } finally { + await browser.close(); + } +})(); diff --git a/ecosystem-tests/ts-browser-webpack/tsconfig.json b/ecosystem-tests/ts-browser-webpack/tsconfig.json new file mode 100644 index 000000000..73086a3ce --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/tsconfig.json @@ -0,0 +1,22 @@ +{ + "compilerOptions": { + "module": "commonjs", + "strict": true, + "noImplicitReturns": true, + "removeComments": true, + "preserveConstEnums": true, + "sourceMap": true, + "declaration": true, + "skipLibCheck": false, + "target": "es2015", + "lib": ["es2017", "dom"], + "outDir": "dist", + "rootDir": "./", + "baseUrl": ".", + "paths": { + "*": ["types/*"] + } + }, + "include": ["src/**/*"], + "exclude": ["node_modules/*"] +} diff --git a/ecosystem-tests/ts-browser-webpack/webpack.config.js b/ecosystem-tests/ts-browser-webpack/webpack.config.js new file mode 100644 index 000000000..4dec6efb4 --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/webpack.config.js @@ -0,0 +1,45 @@ +const path = require('path'); +const HtmlWebpackPlugin = require('html-webpack-plugin'); + +const publicPath = path.resolve(__dirname, 'public'); +const srcPath = path.resolve(__dirname, 'src'); +const buildPath = path.resolve(__dirname, 'dist'); + +module.exports = { + entry: path.join(srcPath, 'index.ts'), + + mode: 'development', + + output: { + path: buildPath, + filename: 'bundle.js', + }, + + module: { + rules: [ + { + test: /\.js$/, + exclude: /node_modules/, + loader: 'babel-loader', + }, + { + test: /\.ts$/, + exclude: /node_modules/, + loader: 'ts-loader', + }, + ], + }, + + resolve: { + extensions: ['*', '.js', '.ts'], + }, + + devtool: 'eval', + + plugins: [ + new HtmlWebpackPlugin({ + template: path.join(publicPath, 'index.html'), + filename: 'index.html', + }), + ], +}; diff --git a/ecosystem-tests/vercel-edge/.gitignore b/ecosystem-tests/vercel-edge/.gitignore new file mode 100644 index 000000000..a5ab971a8 --- /dev/null +++ b/ecosystem-tests/vercel-edge/.gitignore @@ -0,0 +1,36 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js +/*.tgz + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/ecosystem-tests/vercel-edge/next.config.js b/ecosystem-tests/vercel-edge/next.config.js new file mode 100644 index 000000000..91ef62f0d --- /dev/null +++ b/ecosystem-tests/vercel-edge/next.config.js @@ -0,0 +1,6 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + reactStrictMode: true, +}; + +module.exports = nextConfig; diff --git a/ecosystem-tests/vercel-edge/package-lock.json b/ecosystem-tests/vercel-edge/package-lock.json new file mode 100644 index 000000000..cbdd742a6 --- /dev/null +++ b/ecosystem-tests/vercel-edge/package-lock.json @@ -0,0 +1,5455 @@ +{ + "name": "vercel-edge", + "version": "0.1.0", + "lockfileVersion": 2, + "requires": true, + "packages": { + "": { + "name": "vercel-edge", + "version": "0.1.0", + "dependencies": { + "ai": "2.1.34", + "next": "13.4.6", + "react": "18.2.0", + "react-dom": "18.2.0" + }, + 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"integrity": "sha512-m46AKbrzKVzOzs/DZgVnG5H55N1sv1M8qZU3A8RIKbs3mrACDNeIOeilDymVb2HdmP8uwshOCF4uJ8uM9rCqJw==" + } + } +} diff --git a/ecosystem-tests/vercel-edge/package.json b/ecosystem-tests/vercel-edge/package.json new file mode 100644 index 000000000..8a77812f7 --- /dev/null +++ b/ecosystem-tests/vercel-edge/package.json @@ -0,0 +1,27 @@ +{ + "name": "vercel-edge", + "version": "0.1.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "next lint", + "edge-runtime": "edge-runtime", + "vercel": "vercel" + }, + "dependencies": { + "ai": "2.1.34", + "next": "13.4.6", + "react": "18.2.0", + "react-dom": "18.2.0" + }, + "devDependencies": { + "@types/node": "20.3.3", + "@types/react": "18.2.13", + "@types/react-dom": "18.2.6", + "edge-runtime": "^2.4.3", + "typescript": "5.1.6", + "vercel": "^31.0.0" + } +} diff --git a/ecosystem-tests/vercel-edge/public/favicon.ico b/ecosystem-tests/vercel-edge/public/favicon.ico new file mode 100644 index 000000000..4570eb8d9 Binary files /dev/null and b/ecosystem-tests/vercel-edge/public/favicon.ico differ diff --git a/ecosystem-tests/vercel-edge/src/pages/_app.tsx b/ecosystem-tests/vercel-edge/src/pages/_app.tsx new file mode 100644 index 000000000..da826ed16 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/_app.tsx @@ -0,0 +1,5 @@ +import type { AppProps } from 'next/app'; + +export default function App({ Component, pageProps }: AppProps) { + return ; +} diff --git a/ecosystem-tests/vercel-edge/src/pages/_document.tsx b/ecosystem-tests/vercel-edge/src/pages/_document.tsx new file mode 100644 index 000000000..e1e9cbbb7 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/_document.tsx @@ -0,0 +1,13 @@ +import { Html, Head, Main, NextScript } from 'next/document'; + +export default function Document() { + return ( + + + +
+ + + + ); +} diff --git a/ecosystem-tests/vercel-edge/src/pages/ai-streaming.tsx b/ecosystem-tests/vercel-edge/src/pages/ai-streaming.tsx new file mode 100644 index 000000000..ba32dc443 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/ai-streaming.tsx @@ -0,0 +1,29 @@ +import { useChat } from 'ai/react'; + +export default function Chat() { + const { messages, input, handleInputChange, handleSubmit } = useChat({ api: '/api/vercel-ai-streaming' }); + console.log({ messages }); + + return ( +
+ {messages.map((m) => ( +
+ {m.role === 'user' ? 'User: ' : 'AI: '} + {m.content} +
+ ))} + +
+ + +
+
+ ); +} diff --git a/ecosystem-tests/vercel-edge/src/pages/api/query-params.ts b/ecosystem-tests/vercel-edge/src/pages/api/query-params.ts new file mode 100644 index 000000000..3f3ff4db3 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/api/query-params.ts @@ -0,0 +1,20 @@ +import { NextRequest, NextResponse } from 'next/server'; +import OpenAI from 'openai'; + +export const config = { + runtime: 'edge', + unstable_allowDynamic: [ + // This is currently required because `qs` uses `side-channel` which depends on this. + // + // Warning: Some features may be broken at runtime because of this. + '/node_modules/function-bind/**', + ], +}; + +export default async (request: NextRequest) => { + const openai = new OpenAI(); + + const result = await openai.fineTunes.listEvents('ft-Gj8mUJrEPe9sIsnxJdbzye0Z', { stream: false }); + + return NextResponse.json(result); +}; diff --git a/ecosystem-tests/vercel-edge/src/pages/api/response.ts b/ecosystem-tests/vercel-edge/src/pages/api/response.ts new file mode 100644 index 000000000..4599bba78 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/api/response.ts @@ -0,0 +1,22 @@ +import { NextRequest, NextResponse } from 'next/server'; +import OpenAI from 'openai'; + +export const config = { + runtime: 'edge', + unstable_allowDynamic: [ + // This is currently required because `qs` uses `side-channel` which depends on this. + // + // Warning: Some features may be broken at runtime because of this. + '/node_modules/function-bind/**', + ], +}; + +export default async (request: NextRequest) => { + const openai = new OpenAI(); + + const result = await openai.completions.create({ + prompt: 'Say this is a test', + model: 'text-davinci-003', + }); + return NextResponse.json(result); +}; diff --git a/ecosystem-tests/vercel-edge/src/pages/api/streaming.ts b/ecosystem-tests/vercel-edge/src/pages/api/streaming.ts new file mode 100644 index 000000000..42259c479 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/api/streaming.ts @@ -0,0 +1,30 @@ +import { NextRequest, NextResponse } from 'next/server'; +import OpenAI from 'openai'; + +export const config = { + runtime: 'edge', + unstable_allowDynamic: [ + // This is currently required because `qs` uses `side-channel` which depends on this. + // + // Warning: Some features may be broken at runtime because of this. + '/node_modules/function-bind/**', + ], +}; + +export default async (request: NextRequest) => { + const openai = new OpenAI(); + + const text: string[] = []; + + const stream = await openai.completions.create({ + prompt: 'Say this is a test', + model: 'text-davinci-003', + stream: true, + }); + + for await (const part of stream) { + text.push(part.choices[0]?.text || ''); + } + + return NextResponse.json({ text: text.join('') }); +}; diff --git a/ecosystem-tests/vercel-edge/src/pages/api/transcribe.ts b/ecosystem-tests/vercel-edge/src/pages/api/transcribe.ts new file mode 100644 index 000000000..6d96163d7 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/api/transcribe.ts @@ -0,0 +1,36 @@ +import { NextRequest, NextResponse } from 'next/server'; +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio'; + +export const config = { + runtime: 'edge', + unstable_allowDynamic: [ + // This is currently required because `qs` uses `side-channel` which depends on this. + // + // Warning: Some features may be broken at runtime because of this. + '/node_modules/function-bind/**', + ], +}; + +export default async (request: NextRequest) => { + const openai = new OpenAI(); + + async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await openai.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await openai.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await openai.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); + } + + const rsp = await fetch('https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'); + + const params: TranscriptionCreateParams = { + model: 'whisper-1', + file: await toFile(rsp, 'sample-1.mp3'), + }; + const transcription = await openai.audio.transcriptions.create(params); + + return NextResponse.json(transcription); +}; diff --git a/ecosystem-tests/vercel-edge/src/pages/api/vercel-ai-streaming.ts b/ecosystem-tests/vercel-edge/src/pages/api/vercel-ai-streaming.ts new file mode 100644 index 000000000..69c726532 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/api/vercel-ai-streaming.ts @@ -0,0 +1,32 @@ +import OpenAI from 'openai'; +import { OpenAIStream, StreamingTextResponse } from 'ai'; +import { NextRequest } from 'next/server'; + +export const config = { + runtime: 'edge', + unstable_allowDynamic: [ + // This is currently required because `qs` uses `side-channel` which depends on this. + '/node_modules/function-bind/**', + ], +}; + +export default async (request: NextRequest) => { + const openai = new OpenAI(); + + // Extract the `messages` from the body of the request + const { messages } = await request.json(); + + // Ask OpenAI for a streaming chat completion given the prompt + const streamResponse = await openai.chat.completions + .create({ + model: 'gpt-3.5-turbo', + stream: true, + messages, + }) + .asResponse(); + + const stream = OpenAIStream(streamResponse); + + // Respond with the stream + return new StreamingTextResponse(stream); +}; diff --git a/ecosystem-tests/vercel-edge/src/pages/index.tsx b/ecosystem-tests/vercel-edge/src/pages/index.tsx new file mode 100644 index 000000000..ed3a8e84a --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/index.tsx @@ -0,0 +1,19 @@ +import Head from 'next/head'; + +export default function Home() { + return ( + <> + + Vercel Edge Test + + + + +
+
+

Hello, world!

+
+
+ + ); +} diff --git a/ecosystem-tests/vercel-edge/tsconfig.json b/ecosystem-tests/vercel-edge/tsconfig.json new file mode 100644 index 000000000..71e5e3d1d --- /dev/null +++ b/ecosystem-tests/vercel-edge/tsconfig.json @@ -0,0 +1,23 @@ +{ + "compilerOptions": { + "target": "es5", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "forceConsistentCasingInFileNames": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "node", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "paths": { + "~/*": ["./src/*"] + } + }, + "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx"], + "exclude": ["node_modules"] +} diff --git a/examples/azure.ts b/examples/azure.ts new file mode 100755 index 000000000..058143885 --- /dev/null +++ b/examples/azure.ts @@ -0,0 +1,51 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; + +// The name of your Azure OpenAI Resource. +// https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal#create-a-resource +const resource = ''; + +// Corresponds to your Model deployment within your OpenAI resource, e.g. my-gpt35-16k-deployment +// Navigate to the Azure OpenAI Studio to deploy a model. +const model = ''; + +const apiKey = process.env['AZURE_OPENAI_API_KEY']; +if (!apiKey) { + throw new Error('The AZURE_OPENAI_API_KEY environment variable is missing or empty.'); +} + +// Azure OpenAI requires a custom baseURL, api-version query param, and api-key header. +const openai = new OpenAI({ + apiKey, + baseURL: `https://${resource}.openai.azure.com/openai/deployments/${model}`, + defaultQuery: { 'api-version': '2023-06-01-preview' }, + defaultHeaders: { 'api-key': apiKey }, +}); + +async function main() { + console.log('Non-streaming:'); + const result = await openai.chat.completions.create({ + model, + messages: [{ role: 'user', content: 'Say hello!' }], + }); + console.log(result.choices[0]!.message?.content); + + console.log(); + console.log('Streaming:'); + const stream = await openai.chat.completions.create({ + model, + messages: [{ role: 'user', content: 'Say hello!' }], + stream: true, + }); + + for await (const part of stream) { + process.stdout.write(part.choices[0]?.delta?.content ?? ''); + } + process.stdout.write('\n'); +} + +main().catch((err) => { + console.error(err); + process.exit(1); +}); diff --git a/examples/demo.ts b/examples/demo.ts new file mode 100755 index 000000000..a76e61239 --- /dev/null +++ b/examples/demo.ts @@ -0,0 +1,28 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +async function main() { + // Non-streaming: + const completion = await openai.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }); + console.log(completion.choices[0]?.message?.content); + + // Streaming: + const stream = await openai.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + for await (const part of stream) { + process.stdout.write(part.choices[0]?.delta?.content || ''); + } + process.stdout.write('\n'); +} + +main(); diff --git a/examples/errors.ts b/examples/errors.ts new file mode 100755 index 000000000..6aa5b5679 --- /dev/null +++ b/examples/errors.ts @@ -0,0 +1,29 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI, { NotFoundError } from 'openai'; + +// gets API Key from environment variable OPENAI_API_KEY +const client = new OpenAI(); + +async function main() { + try { + await client.completions.create({ + prompt: 'Say this is a test', + model: 'unknown-model', + }); + } catch (err) { + if (err instanceof NotFoundError) { + console.log(`Caught NotFoundError!`); + console.log(err); + console.log(`message: `, err.message); + console.log(`code: `, err.code); + console.log(`type: `, err.type); + console.log(`param: `, err.param); + } else { + console.log(`Raised unknown error`); + throw err; + } + } +} + +main(); diff --git a/examples/fine-tune-data.jsonl b/examples/fine-tune-data.jsonl new file mode 100644 index 000000000..b8b711d61 --- /dev/null +++ b/examples/fine-tune-data.jsonl @@ -0,0 +1,3 @@ +{"prompt": "", "completion": ""} +{"prompt": "", "completion": ""} +{"prompt": "", "completion": ""} diff --git a/examples/fine-tunes.ts b/examples/fine-tunes.ts new file mode 100755 index 000000000..ee4cb9eb9 --- /dev/null +++ b/examples/fine-tunes.ts @@ -0,0 +1,41 @@ +#!/usr/bin/env -S npm run tsn -T + +/** + * Fine-tuning allows you to train models on your own data. + * + * See these guides for more information: + * - https://help.openai.com/en/articles/5528730-fine-tuning-a-classifier-to-improve-truthfulness + * - https://platform.openai.com/docs/guides/fine-tuning + */ + +import fs from 'fs'; +import OpenAI from 'openai'; + +// Gets the API Key from the environment variable `OPENAI_API_KEY` +const client = new OpenAI(); + +async function main() { + console.log(`Uploading file`); + const file = await client.files.create({ + file: fs.createReadStream('examples/fine-tune-data.jsonl'), + purpose: 'fine-tune', + }); + console.log(`Uploaded file with ID: ${file.id}`); + console.log('-----'); + + console.log(`Starting fine-tuning`); + const fineTune = await client.fineTunes.create({ model: 'babbage', training_file: file.id }); + console.log(`Fine-tuning ID: ${fineTune.id}`); + console.log('-----'); + + console.log(`Streaming fine-tuning progress:`); + const stream = await client.fineTunes.listEvents(fineTune.id, { stream: true }); + for await (const part of stream) { + console.log(part.message); + } +} + +main().catch((err) => { + console.error(err); + process.exit(1); +}); diff --git a/examples/function-call-stream.ts b/examples/function-call-stream.ts new file mode 100755 index 000000000..6126a7ff2 --- /dev/null +++ b/examples/function-call-stream.ts @@ -0,0 +1,185 @@ +#!/usr/bin/env -S npm run tsn -T + +import util from 'util'; +import OpenAI from 'openai'; +import { + ChatCompletionMessage, + ChatCompletionChunk, + CreateChatCompletionRequestMessage, +} from 'openai/resources/chat'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +const functions: OpenAI.Chat.CompletionCreateParams.Function[] = [ + { + name: 'list', + description: 'list queries books by genre, and returns a list of names of books', + parameters: { + type: 'object', + properties: { + genre: { type: 'string', enum: ['mystery', 'nonfiction', 'memoir', 'romance', 'historical'] }, + }, + }, + }, + { + name: 'search', + description: 'search queries books by their name and returns a list of book names and their ids', + parameters: { + type: 'object', + properties: { + name: { type: 'string' }, + }, + }, + }, + { + name: 'get', + description: + "get returns a book's detailed information based on the id of the book. Note that this does not accept names, and only IDs, which you can get by using search.", + parameters: { + type: 'object', + properties: { + id: { type: 'string' }, + }, + }, + }, +]; + +async function callFunction(function_call: ChatCompletionMessage.FunctionCall): Promise { + const args = JSON.parse(function_call.arguments!); + switch (function_call.name) { + case 'list': + return await list(args['genre']); + + case 'search': + return await search(args['name']); + + case 'get': + return await get(args['id']); + + default: + throw new Error('No function found'); + } +} + +async function main() { + const messages: CreateChatCompletionRequestMessage[] = [ + { + role: 'system', + content: + 'Please use our book database, which you can access using functions to answer the following questions.', + }, + { + role: 'user', + content: + 'I really enjoyed reading To Kill a Mockingbird, could you recommend me a book that is similar and tell me why?', + }, + ]; + console.log(messages[0]); + console.log(messages[1]); + console.log(); + + while (true) { + const stream = await openai.chat.completions.create({ + model: 'gpt-3.5-turbo', + messages, + functions: functions, + stream: true, + }); + + // Since the stream returns chunks, we need to build up the ChatCompletionMessage object. + // We implement this logic in messageReducer, which coalesces deltas into the message. + // `lineRewriter()` allows us to rewrite the last output with new text, which is one + // way of forwarding the streamed output to a visual interface. + let writeLine = lineRewriter(); + let message = {} as ChatCompletionMessage; + for await (const chunk of stream) { + message = messageReducer(message, chunk); + writeLine(message); + } + console.log(); + messages.push(message); + + // If there is no function call, we're done and can exit this loop + if (!message.function_call) { + return; + } + + // If there is a function call, we generate a new message with the role 'function'. + const result = await callFunction(message.function_call); + const newMessage = { + role: 'function' as const, + name: message.function_call.name!, + content: JSON.stringify(result), + }; + messages.push(newMessage); + + console.log(newMessage); + console.log(); + } +} + +function messageReducer(previous: ChatCompletionMessage, item: ChatCompletionChunk): ChatCompletionMessage { + const reduce = (acc: any, delta: any) => { + acc = { ...acc }; + for (const [key, value] of Object.entries(delta)) { + if (acc[key] === undefined || acc[key] === null) { + acc[key] = value; + } else if (typeof acc[key] === 'string' && typeof value === 'string') { + (acc[key] as string) += value; + } else if (typeof acc[key] === 'object' && !Array.isArray(acc[key])) { + acc[key] = reduce(acc[key], value); + } + } + return acc; + }; + + return reduce(previous, item.choices[0]!.delta) as ChatCompletionMessage; +} + +function lineRewriter() { + let lastMessageLength = 0; + return function write(value: any) { + process.stdout.cursorTo(0); + process.stdout.moveCursor(0, -Math.floor((lastMessageLength - 1) / process.stdout.columns)); + lastMessageLength = util.formatWithOptions({ colors: false, breakLength: Infinity }, value).length; + process.stdout.write(util.formatWithOptions({ colors: true, breakLength: Infinity }, value)); + }; +} + +const db = [ + { + id: 'a1', + name: 'To Kill a Mockingbird', + genre: 'historical', + description: `Compassionate, dramatic, and deeply moving, "To Kill A Mockingbird" takes readers to the roots of human behavior - to innocence and experience, kindness and cruelty, love and hatred, humor and pathos. Now with over 18 million copies in print and translated into forty languages, this regional story by a young Alabama woman claims universal appeal. Harper Lee always considered her book to be a simple love story. Today it is regarded as a masterpiece of American literature.`, + }, + { + id: 'a2', + name: 'All the Light We Cannot See', + genre: 'historical', + description: `In a mining town in Germany, Werner Pfennig, an orphan, grows up with his younger sister, enchanted by a crude radio they find that brings them news and stories from places they have never seen or imagined. Werner becomes an expert at building and fixing these crucial new instruments and is enlisted to use his talent to track down the resistance. Deftly interweaving the lives of Marie-Laure and Werner, Doerr illuminates the ways, against all odds, people try to be good to one another.`, + }, + { + id: 'a3', + name: 'Where the Crawdads Sing', + genre: 'historical', + description: `For years, rumors of the “Marsh Girl” haunted Barkley Cove, a quiet fishing village. Kya Clark is barefoot and wild; unfit for polite society. So in late 1969, when the popular Chase Andrews is found dead, locals immediately suspect her. + +But Kya is not what they say. A born naturalist with just one day of school, she takes life's lessons from the land, learning the real ways of the world from the dishonest signals of fireflies. But while she has the skills to live in solitude forever, the time comes when she yearns to be touched and loved. Drawn to two young men from town, who are each intrigued by her wild beauty, Kya opens herself to a new and startling world—until the unthinkable happens.`, + }, +]; + +async function list(genre: string) { + return db.filter((item) => item.genre === genre).map((item) => ({ name: item.name, id: item.id })); +} + +async function search(name: string) { + return db.filter((item) => item.name.includes(name)).map((item) => ({ name: item.name, id: item.id })); +} + +async function get(id: string) { + return db.find((item) => item.id === id)!; +} + +main(); diff --git a/examples/function-call.ts b/examples/function-call.ts new file mode 100755 index 000000000..158437e68 --- /dev/null +++ b/examples/function-call.ts @@ -0,0 +1,142 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; +import { ChatCompletionMessage, CreateChatCompletionRequestMessage } from 'openai/resources/chat'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +const functions: OpenAI.Chat.CompletionCreateParams.Function[] = [ + { + name: 'list', + description: 'list queries books by genre, and returns a list of names of books', + parameters: { + type: 'object', + properties: { + genre: { type: 'string', enum: ['mystery', 'nonfiction', 'memoir', 'romance', 'historical'] }, + }, + }, + }, + { + name: 'search', + description: 'search queries books by their name and returns a list of book names and their ids', + parameters: { + type: 'object', + properties: { + name: { type: 'string' }, + }, + }, + }, + { + name: 'get', + description: + "get returns a book's detailed information based on the id of the book. Note that this does not accept names, and only IDs, which you can get by using search.", + parameters: { + type: 'object', + properties: { + id: { type: 'string' }, + }, + }, + }, +]; + +async function callFunction(function_call: ChatCompletionMessage.FunctionCall): Promise { + const args = JSON.parse(function_call.arguments!); + switch (function_call.name) { + case 'list': + return await list(args['genre']); + + case 'search': + return await search(args['name']); + + case 'get': + return await get(args['id']); + + default: + throw new Error('No function found'); + } +} + +async function main() { + const messages: CreateChatCompletionRequestMessage[] = [ + { + role: 'system', + content: + 'Please use our book database, which you can access using functions to answer the following questions.', + }, + { + role: 'user', + content: + 'I really enjoyed reading To Kill a Mockingbird, could you recommend me a book that is similar and tell me why?', + }, + ]; + console.log(messages[0]); + console.log(messages[1]); + console.log(); + + while (true) { + const completion = await openai.chat.completions.create({ + model: 'gpt-3.5-turbo', + messages, + functions: functions, + }); + + const message = completion.choices[0]!.message; + messages.push(message); + console.log(message); + + // If there is no function call, we're done and can exit this loop + if (!message.function_call) { + return; + } + + // If there is a function call, we generate a new message with the role 'function'. + const result = await callFunction(message.function_call); + const newMessage = { + role: 'function' as const, + name: message.function_call.name!, + content: JSON.stringify(result), + }; + messages.push(newMessage); + + console.log(newMessage); + console.log(); + } +} + +const db = [ + { + id: 'a1', + name: 'To Kill a Mockingbird', + genre: 'historical', + description: `Compassionate, dramatic, and deeply moving, "To Kill A Mockingbird" takes readers to the roots of human behavior - to innocence and experience, kindness and cruelty, love and hatred, humor and pathos. Now with over 18 million copies in print and translated into forty languages, this regional story by a young Alabama woman claims universal appeal. Harper Lee always considered her book to be a simple love story. Today it is regarded as a masterpiece of American literature.`, + }, + { + id: 'a2', + name: 'All the Light We Cannot See', + genre: 'historical', + description: `In a mining town in Germany, Werner Pfennig, an orphan, grows up with his younger sister, enchanted by a crude radio they find that brings them news and stories from places they have never seen or imagined. Werner becomes an expert at building and fixing these crucial new instruments and is enlisted to use his talent to track down the resistance. Deftly interweaving the lives of Marie-Laure and Werner, Doerr illuminates the ways, against all odds, people try to be good to one another.`, + }, + { + id: 'a3', + name: 'Where the Crawdads Sing', + genre: 'historical', + description: `For years, rumors of the “Marsh Girl” haunted Barkley Cove, a quiet fishing village. Kya Clark is barefoot and wild; unfit for polite society. So in late 1969, when the popular Chase Andrews is found dead, locals immediately suspect her. + +But Kya is not what they say. A born naturalist with just one day of school, she takes life's lessons from the land, learning the real ways of the world from the dishonest signals of fireflies. But while she has the skills to live in solitude forever, the time comes when she yearns to be touched and loved. Drawn to two young men from town, who are each intrigued by her wild beauty, Kya opens herself to a new and startling world—until the unthinkable happens.`, + }, +]; + +async function list(genre: string) { + return db.filter((item) => item.genre === genre).map((item) => ({ name: item.name, id: item.id })); +} + +async function search(name: string) { + return db.filter((item) => item.name.includes(name)).map((item) => ({ name: item.name, id: item.id })); +} + +async function get(id: string) { + return db.find((item) => item.id === id)!; +} + +main(); diff --git a/examples/raw-response.ts b/examples/raw-response.ts new file mode 100644 index 000000000..e114f75d4 --- /dev/null +++ b/examples/raw-response.ts @@ -0,0 +1,34 @@ +#!/usr/bin/env yarn tsn -T + +import OpenAI from 'openai'; + +// gets API Key from environment variable OPENAI_API_KEY +const client = new OpenAI(); + +async function main() { + // getting just raw Response: + { + const response = await client.completions + .create({ + prompt: 'Say this is a test', + model: 'text-davinci-003', + }) + .asResponse(); + console.log(`response headers: `, Object.fromEntries(response.headers.entries())); + console.log(`response json: `, await response.json()); + } + + // getting the usual return value plus raw Response: + { + const { data: completion, response } = await client.completions + .create({ + prompt: 'Say this is a test', + model: 'text-davinci-003', + }) + .withResponse(); + console.log(`response headers: `, Object.fromEntries(response.headers.entries())); + console.log(`completion: `, completion); + } +} + +main().catch(console.error); diff --git a/index.ts b/index.ts deleted file mode 100644 index d564d1820..000000000 --- a/index.ts +++ /dev/null @@ -1,18 +0,0 @@ -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.3.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ - - -export * from "./api"; -export * from "./configuration"; - diff --git a/jest.config.js b/jest.config.js new file mode 100644 index 000000000..29efff74a --- /dev/null +++ b/jest.config.js @@ -0,0 +1,11 @@ +/** @type {import('ts-jest/dist/types').InitialOptionsTsJest} */ +module.exports = { + preset: 'ts-jest', + testEnvironment: 'node', + moduleNameMapper: { + '^openai$': '/src/index.ts', + '^openai/_shims/(.*)$': '/src/_shims/$1.node', + '^openai/(.*)$': '/src/$1', + }, + modulePathIgnorePatterns: ['/ecosystem-tests/', '/dist/', '/deno_tests/'], +}; diff --git a/package-lock.json b/package-lock.json deleted file mode 100644 index 0477e4022..000000000 --- a/package-lock.json +++ /dev/null @@ -1,191 +0,0 @@ -{ - "name": "openai", - "version": "3.3.0", - "lockfileVersion": 2, - "requires": true, - "packages": { - "": { - "name": "openai", - "version": "3.3.0", - "license": 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+ "types": "./dist/_shims/*.d.ts", + "require": "./dist/_shims/*.js", + "default": "./dist/_shims/*.mjs" + }, + "workerd": { + "types": "./dist/_shims/*.d.ts", + "require": "./dist/_shims/*.js", + "default": "./dist/_shims/*.mjs" + }, + "node": { + "types": "./dist/_shims/*.node.d.ts", + "require": "./dist/_shims/*.node.js", + "default": "./dist/_shims/*.node.mjs" + }, + "types": "./dist/_shims/*.d.ts", + "require": "./dist/_shims/*.js", + "default": "./dist/_shims/*.mjs" + }, + ".": { + "require": { + "types": "./dist/index.d.ts", + "default": "./dist/index.js" + }, + "types": "./dist/index.d.mts", + "default": "./dist/index.mjs" + }, + "./*.mjs": { + "types": "./dist/*.d.ts", + "default": "./dist/*.mjs" + }, + "./*.js": { + "types": "./dist/*.d.ts", + "default": "./dist/*.js" + }, + "./*": { + "types": "./dist/*.d.ts", + "require": "./dist/*.js", + "default": "./dist/*.mjs" + } }, - "keywords": [ - "openai", - "open", - "ai", - "gpt-3", - "gpt3" - ], - "author": "OpenAI", - "license": "MIT", - "main": "./dist/index.js", - "types": "./dist/index.d.ts", "scripts": { - "build": "tsc --outDir dist/" + "test": "bin/check-test-server && yarn jest", + "build": "bash ./build", + "prepack": "echo 'to pack, run yarn build && (cd dist; yarn pack)' && exit 1", + "prepublishOnly": "echo 'to publish, run yarn build && (cd dist; yarn publish)' && exit 1", + "format": "prettier --write --cache --cache-strategy metadata . !dist", + "tsn": "ts-node -r tsconfig-paths/register", + "fix": "eslint --fix --ext ts,js ." }, "dependencies": { - "axios": "^0.26.0", - "form-data": "^4.0.0" + "@types/node": "^18.11.18", + "@types/node-fetch": "^2.6.4", + "abort-controller": "^3.0.0", + "agentkeepalive": "^4.2.1", + "digest-fetch": "^1.3.0", + "form-data-encoder": "1.7.2", + "formdata-node": "^4.3.2", + "node-fetch": "^2.6.7" }, "devDependencies": { - "@types/node": "^12.11.5", - "typescript": "^3.6.4" - } + "@types/jest": "^29.4.0", + "@typescript-eslint/eslint-plugin": "^5.33.0", + "@typescript-eslint/parser": "^5.33.0", + "eslint": "^8.22.0", + "eslint-plugin-unused-imports": "^2.0.0", + "jest": "^29.4.0", + "openai": "link:.", + "prettier": "rattrayalex/prettier#postfix-ternaries", + "ts-jest": "^29.1.0", + "ts-morph": "^19.0.0", + "ts-node": "^10.5.0", + "tsc-alias": "^1.8.6", + "tsc-multi": "^1.1.0", + "tsconfig-paths": "^4.0.0", + "typescript": "^4.8.2" + }, + "bin": "./bin/cli" } diff --git a/scripts/check-version.cjs b/scripts/check-version.cjs new file mode 100644 index 000000000..50a85669e --- /dev/null +++ b/scripts/check-version.cjs @@ -0,0 +1,20 @@ +const fs = require('fs'); +const path = require('path'); + +const main = () => { + const pkg = require('../package.json'); + const version = pkg['version']; + if (!version) throw 'The version property is not set in the package.json file'; + if (typeof version !== 'string') { + throw `Unexpected type for the package.json version field; got ${typeof version}, expected string`; + } + + const versionFile = path.resolve(__dirname, '..', 'src', 'version.ts'); + const contents = fs.readFileSync(versionFile, 'utf8'); + const output = contents.replace(/(export const VERSION = ')(.*)(')/g, `$1${version}$3`); + fs.writeFileSync(versionFile, output); +}; + +if (require.main === module) { + main(); +} diff --git a/scripts/fix-index-exports.cjs b/scripts/fix-index-exports.cjs new file mode 100644 index 000000000..0909af7cb --- /dev/null +++ b/scripts/fix-index-exports.cjs @@ -0,0 +1,10 @@ +const fs = require('fs'); +const path = require('path'); + +const indexJs = path.resolve(__dirname, '..', 'dist', 'index.js'); +let before = fs.readFileSync(indexJs, 'utf8'); +let after = before.replace( + /^\s*exports\.default\s*=\s*(\w+)/m, + 'exports = module.exports = $1;\nexports.default = $1', +); +fs.writeFileSync(indexJs, after, 'utf8'); diff --git a/scripts/make-dist-package-json.cjs b/scripts/make-dist-package-json.cjs new file mode 100644 index 000000000..8c5889fa8 --- /dev/null +++ b/scripts/make-dist-package-json.cjs @@ -0,0 +1,20 @@ +const pkgJson = require('../package.json'); + +function processExportMap(m) { + for (const key in m) { + const value = m[key]; + if (typeof value === 'string') m[key] = value.replace(/^\.\/dist\//, './'); + else processExportMap(value); + } +} +processExportMap(pkgJson.exports); + +for (const key of ['types', 'main', 'module']) { + if (typeof pkgJson[key] === 'string') pkgJson[key] = pkgJson[key].replace(/^(\.\/)?dist\//, './'); +} + +delete pkgJson.devDependencies; +delete pkgJson.scripts.prepack; +delete pkgJson.scripts.prepublishOnly; + +console.log(JSON.stringify(pkgJson, null, 2)); diff --git a/scripts/replace-self-referencing-imports.js b/scripts/replace-self-referencing-imports.js new file mode 100644 index 000000000..de3246dd3 --- /dev/null +++ b/scripts/replace-self-referencing-imports.js @@ -0,0 +1,21 @@ +'use strict'; +Object.defineProperty(exports, '__esModule', { value: true }); + +const path = require('path'); +const distSrcDir = path.resolve(__dirname, '..', 'dist', 'src'); + +function replaceSelfReferencingImports({ orig, file, config }) { + // replace self-referencing imports in source files to reduce errors users will + // see if they go to definition + if (!file.startsWith(distSrcDir)) return orig; + return orig.replace(/['"]([^"'\r\n]+)['"]/, (match, importPath) => { + if (!importPath.startsWith('openai/')) return match; + let relativePath = path.relative( + path.dirname(file), + path.join(distSrcDir, importPath.substring('openai/'.length)), + ); + if (!relativePath.startsWith('.')) relativePath = `./${relativePath}`; + return JSON.stringify(relativePath); + }); +} +exports.default = replaceSelfReferencingImports; diff --git a/src/_shims/ReadableStream.d.ts b/src/_shims/ReadableStream.d.ts new file mode 100644 index 000000000..b21d01ce2 --- /dev/null +++ b/src/_shims/ReadableStream.d.ts @@ -0,0 +1,38 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +/** + * >>> Confused? <<< + * + * If you're getting errors from these types, try adding "lib": ["DOM"] + * to your tsconfig.json, or otherwise configure the appropriate builtin + * `ReadableStream` type for your environment. + */ + +// @ts-ignore +type _ReadableStream = unknown extends ReadableStream ? never : ReadableStream; +declare const _ReadableStream: { + prototype: _ReadableStream; + new ( + underlyingSource: _UnderlyingByteSource, + strategy?: { highWaterMark?: number }, + ): _ReadableStream; + new ( + underlyingSource: _UnderlyingDefaultSource, + strategy?: _QueuingStrategy, + ): _ReadableStream; + new (underlyingSource?: _UnderlyingSource, strategy?: _QueuingStrategy): _ReadableStream; +}; + +// @ts-ignore +type _UnderlyingSource = unknown extends UnderlyingSource ? never : UnderlyingSource; +// @ts-ignore +type _UnderlyingByteSource = unknown extends UnderlyingByteSource ? never : UnderlyingByteSource; +type _UnderlyingDefaultSource = + // @ts-ignore + unknown extends UnderlyingDefaultSource ? never : UnderlyingDefaultSource; +// @ts-ignore +type _QueuingStrategy = unknown extends QueuingStrategy ? never : QueuingStrategy; + +export { _ReadableStream as ReadableStream }; diff --git a/src/_shims/ReadableStream.js b/src/_shims/ReadableStream.js new file mode 100644 index 000000000..7c0dff176 --- /dev/null +++ b/src/_shims/ReadableStream.js @@ -0,0 +1,5 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +exports.ReadableStream = ReadableStream; diff --git a/src/_shims/ReadableStream.mjs b/src/_shims/ReadableStream.mjs new file mode 100644 index 000000000..a484d65a7 --- /dev/null +++ b/src/_shims/ReadableStream.mjs @@ -0,0 +1,7 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +const _ReadableStream = ReadableStream; + +export { _ReadableStream as ReadableStream }; diff --git a/src/_shims/ReadableStream.node.ts b/src/_shims/ReadableStream.node.ts new file mode 100644 index 000000000..adc525861 --- /dev/null +++ b/src/_shims/ReadableStream.node.ts @@ -0,0 +1,6 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +import { ReadableStream } from 'web-streams-polyfill'; + +export { ReadableStream }; diff --git a/src/_shims/agent.node.ts b/src/_shims/agent.node.ts new file mode 100644 index 000000000..31f4d7c5f --- /dev/null +++ b/src/_shims/agent.node.ts @@ -0,0 +1,22 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +import KeepAliveAgent from 'agentkeepalive'; +import type { Agent } from 'node:http'; +import { AbortController as AbortControllerPolyfill } from 'abort-controller'; + +export type { Agent }; + +const defaultHttpAgent: Agent = new KeepAliveAgent({ keepAlive: true, timeout: 5 * 60 * 1000 }); +const defaultHttpsAgent: Agent = new KeepAliveAgent.HttpsAgent({ keepAlive: true, timeout: 5 * 60 * 1000 }); + +// Polyfill global object if needed. +if (typeof AbortController === 'undefined') { + AbortController = AbortControllerPolyfill as any as typeof AbortController; +} + +export const getDefaultAgent = (url: string): Agent | undefined => { + if (defaultHttpsAgent && url.startsWith('https')) return defaultHttpsAgent; + return defaultHttpAgent; +}; diff --git a/src/_shims/agent.ts b/src/_shims/agent.ts new file mode 100644 index 000000000..c39d1cfb0 --- /dev/null +++ b/src/_shims/agent.ts @@ -0,0 +1,12 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + * + * This is a stub for non-node environments. + * In node environments, it gets replaced agent.node.ts by the package export map + */ + +export type Agent = any; + +export const getDefaultAgent = (url: string): any => { + return undefined; +}; diff --git a/src/_shims/fetch.d.ts b/src/_shims/fetch.d.ts new file mode 100644 index 000000000..79dcf074c --- /dev/null +++ b/src/_shims/fetch.d.ts @@ -0,0 +1,59 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +// Use builtin web types if present; else never (user should +// add appropriate lib or types to tsconfig) + +/** + * >>> Confused? <<< + * + * If you're getting errors from these types, try adding "lib": ["DOM"] + * to your tsconfig.json, or otherwise configure the appropriate builtin + * `fetch` types for your environment. + */ + +// @ts-ignore +type _fetch = unknown extends typeof fetch ? never : typeof fetch; +// @ts-ignore +type _Request = unknown extends Request ? never : Request; +// @ts-ignore +type _RequestInfo = unknown extends RequestInfo ? never : RequestInfo; +// @ts-ignore +type _RequestInit = unknown extends RequestInit ? never : RequestInit; +// @ts-ignore +type _Response = unknown extends Response ? never : Response; +// @ts-ignore +type _ResponseInit = unknown extends ResponseInit ? never : ResponseInit; +// @ts-ignore +type _ResponseType = unknown extends ResponseType ? never : ResponseType; +// @ts-ignore +type _BodyInit = unknown extends BodyInit ? never : BodyInit; +// @ts-ignore +type _Headers = unknown extends Headers ? never : Headers; +// @ts-ignore +type _HeadersInit = unknown extends HeadersInit ? never : HeadersInit; + +declare const _fetch: _fetch; +declare const _Request: { + prototype: _Request; + new (input: _RequestInfo | URL, init?: _RequestInit): _Request; +}; +declare const _Response: { + prototype: _Response; + new (body?: _BodyInit | null, init?: _ResponseInit): _Response; +}; +declare const _Headers: { + prototype: _Headers; + new (init?: _HeadersInit): _Headers; +}; + +export const isPolyfilled = false; + +export { _fetch as fetch, _Request as Request, _Response as Response, _Headers as Headers }; +export type { + _RequestInit as RequestInit, + _RequestInfo as RequestInfo, + _ResponseType as ResponseType, + _BodyInit as BodyInit, +}; diff --git a/src/_shims/fetch.deno.ts b/src/_shims/fetch.deno.ts new file mode 100644 index 000000000..fbc2a8ddd --- /dev/null +++ b/src/_shims/fetch.deno.ts @@ -0,0 +1,23 @@ +const _fetch = fetch; +const _Request = Request; +type _RequestInfo = RequestInfo; +type _RequestInit = RequestInit; +const _Response = Response; +type _ResponseInit = ResponseInit; +type _BodyInit = BodyInit; +const _Headers = Headers; +type _HeadersInit = HeadersInit; + +export const isPolyfilled = false; + +export { + _fetch as fetch, + _Request as Request, + type _RequestInfo as RequestInfo, + type _RequestInit as RequestInit, + _Response as Response, + type _ResponseInit as ResponseInit, + type _BodyInit as BodyInit, + _Headers as Headers, + type _HeadersInit as HeadersInit, +}; diff --git a/src/_shims/fetch.js b/src/_shims/fetch.js new file mode 100644 index 000000000..3c3821fdd --- /dev/null +++ b/src/_shims/fetch.js @@ -0,0 +1,13 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +// If we accidentally call fetch with the wrong this binding, +// in the browser it would throw: +// TypeError: Failed to execute 'fetch' on 'Window': Illegal invocation +exports.fetch = fetch.bind(undefined); +exports.Request = Request; +exports.Response = Response; +exports.Headers = Headers; + +exports.isPolyfilled = false; diff --git a/src/_shims/fetch.mjs b/src/_shims/fetch.mjs new file mode 100644 index 000000000..6d539fbab --- /dev/null +++ b/src/_shims/fetch.mjs @@ -0,0 +1,15 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +// If we accidentally call fetch with the wrong this binding, +// in the browser it would throw: +// TypeError: Failed to execute 'fetch' on 'Window': Illegal invocation +const _fetch = fetch.bind(undefined); +const _Request = Request; +const _Response = Response; +const _Headers = Headers; + +export const isPolyfilled = false; + +export { _fetch as fetch, _Request as Request, _Response as Response, _Headers as Headers }; diff --git a/src/_shims/fetch.node.d.ts b/src/_shims/fetch.node.d.ts new file mode 100644 index 000000000..4a1bf5051 --- /dev/null +++ b/src/_shims/fetch.node.d.ts @@ -0,0 +1,63 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +import * as nf from 'node-fetch'; + +// Use builtin web types if present; else node-fetch types + +/** + * >>> Confused? <<< + * + * If you're getting errors from these types, try adding "lib": ["DOM"] + * to your tsconfig.json, or otherwise configure the appropriate builtin + * `fetch` types for your environment. + */ + +// @ts-ignore +type _fetch = unknown extends typeof fetch ? typeof nf.default : typeof fetch; +// @ts-ignore +type _Request = unknown extends Request ? nf.Request : Request; +// @ts-ignore +type _RequestInfo = unknown extends RequestInfo ? nf.RequestInfo : RequestInfo; +// @ts-ignore +type _RequestInit = unknown extends RequestInit ? nf.RequestInit : RequestInit; +// @ts-ignore +type _Response = unknown extends Response ? nf.Response : Response; +// @ts-ignore +type _ResponseInit = unknown extends ResponseInit ? nf.ResponseInit : ResponseInit; +type _ResponseType = + // @ts-ignore + unknown extends ResponseType ? 'basic' | 'cors' | 'default' | 'error' | 'opaque' | 'opaqueredirect' + : // @ts-ignore + ResponseType; +// @ts-ignore +type _BodyInit = unknown extends BodyInit ? nf.BodyInit : BodyInit; +// @ts-ignore +type _Headers = unknown extends Headers ? nf.Headers : Headers; +// @ts-ignore +type _HeadersInit = unknown extends HeadersInit ? nf.HeadersInit : HeadersInit; + +declare const _fetch: _fetch; +declare const _Request: { + prototype: _Request; + new (input: _RequestInfo | URL, init?: _RequestInit): _Request; +}; +declare const _Response: { + prototype: _Response; + new (body?: _BodyInit | null, init?: _ResponseInit): _Response; +}; +declare const _Headers: { + prototype: _Headers; + new (init?: _HeadersInit): _Headers; +}; + +export const isPolyfilled = false; + +export { _fetch as fetch, _Request as Request, _Response as Response, _Headers as Headers }; +export type { + _RequestInit as RequestInit, + _RequestInfo as RequestInfo, + _ResponseType as ResponseType, + _BodyInit as BodyInit, +}; diff --git a/src/_shims/fetch.node.js b/src/_shims/fetch.node.js new file mode 100644 index 000000000..15f8f8abf --- /dev/null +++ b/src/_shims/fetch.node.js @@ -0,0 +1,12 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +const nf = require('node-fetch'); + +exports.fetch = nf.default; +exports.Request = nf.Request; +exports.Response = nf.Response; +exports.Headers = nf.Headers; + +exports.isPolyfilled = true; diff --git a/src/_shims/fetch.node.mjs b/src/_shims/fetch.node.mjs new file mode 100644 index 000000000..d8543dcac --- /dev/null +++ b/src/_shims/fetch.node.mjs @@ -0,0 +1,14 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +import * as nf from 'node-fetch'; + +const _fetch = nf.default; +const _Request = nf.Request; +const _Response = nf.Response; +const _Headers = nf.Headers; + +export { _fetch as fetch, _Request as Request, _Response as Response, _Headers as Headers }; + +export const isPolyfilled = true; diff --git a/src/_shims/fileFromPath.node.ts b/src/_shims/fileFromPath.node.ts new file mode 100644 index 000000000..676d2e2df --- /dev/null +++ b/src/_shims/fileFromPath.node.ts @@ -0,0 +1,29 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +import { fileFromPath as _fileFromPath } from 'formdata-node/file-from-path'; +import type { File, FilePropertyBag } from './formdata.node'; + +export type FileFromPathOptions = Omit; + +let warned = false; + +/** + * @deprecated use fs.createReadStream('./my/file.txt') instead + */ +export async function fileFromPath(path: string): Promise; +export async function fileFromPath(path: string, filename?: string): Promise; +export async function fileFromPath(path: string, options?: FileFromPathOptions): Promise; +export async function fileFromPath( + path: string, + filename?: string, + options?: FileFromPathOptions, +): Promise; +export async function fileFromPath(path: string, ...args: any[]): Promise { + if (!warned) { + console.warn(`fileFromPath is deprecated; use fs.createReadStream(${JSON.stringify(path)}) instead`); + warned = true; + } + return await _fileFromPath(path, ...args); +} diff --git a/src/_shims/fileFromPath.ts b/src/_shims/fileFromPath.ts new file mode 100644 index 000000000..7926b4a56 --- /dev/null +++ b/src/_shims/fileFromPath.ts @@ -0,0 +1,29 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + * + * This is a stub that gets replaced by fileFromPath.node.js for node environments + * in the package export map + */ + +import type { FilePropertyBag, File } from './formdata'; + +export type FileFromPathOptions = Omit; + +/** + * This is a stub for non-node environments that just throws an error. + * In node environments, this module will be replaced by util/node/fileFromPath by the + * package import map. + */ +export async function fileFromPath(path: string): Promise; +export async function fileFromPath(path: string, filename?: string): Promise; +export async function fileFromPath(path: string, options?: FileFromPathOptions): Promise; +export async function fileFromPath( + path: string, + filename?: string, + options?: FileFromPathOptions, +): Promise; +export async function fileFromPath(): Promise { + throw new Error( + 'The `fileFromPath` function is only supported in Node. See the README for more details: https://www.github.com/openai/openai-node#file-uploads', + ); +} diff --git a/src/_shims/formdata.d.ts b/src/_shims/formdata.d.ts new file mode 100644 index 000000000..0fb24cc44 --- /dev/null +++ b/src/_shims/formdata.d.ts @@ -0,0 +1,43 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +import type { BlobPart } from '../uploads'; + +type EndingType = 'native' | 'transparent'; + +export interface BlobPropertyBag { + endings?: EndingType; + type?: string; +} + +export interface FilePropertyBag extends BlobPropertyBag { + lastModified?: number; +} + +// Use builtin web types if present; else never (user should +// add appropriate lib or types to tsconfig) + +// @ts-ignore +type _FormData = unknown extends FormData ? never : FormData; +// @ts-ignore +type _File = unknown extends File ? never : File; +// @ts-ignore +type _Blob = unknown extends Blob ? never : Blob; + +declare const _FormData: { + new (form?: any): _FormData; + prototype: _FormData; +}; +declare const _File: { + new (fileBits: BlobPart[], fileName: string, options?: FilePropertyBag | undefined): _File; + prototype: _File; +}; +declare const _Blob: { + new (blobParts?: BlobPart[] | undefined, options?: BlobPropertyBag | undefined): _Blob; + prototype: _Blob; +}; + +export const isPolyfilled = false; + +export { _FormData as FormData, _File as File, _Blob as Blob }; diff --git a/src/_shims/formdata.deno.ts b/src/_shims/formdata.deno.ts new file mode 100644 index 000000000..56e31b302 --- /dev/null +++ b/src/_shims/formdata.deno.ts @@ -0,0 +1,16 @@ +type _BlobPropertyBag = BlobPropertyBag; +type _FilePropertyBag = FilePropertyBag; + +const _FormData = FormData; +const _File = File; +const _Blob = Blob; + +export const isPolyfilled = false; + +export { + _FormData as FormData, + _File as File, + _Blob as Blob, + type _BlobPropertyBag as BlobPropertyBag, + type _FilePropertyBag as FilePropertyBag, +}; diff --git a/src/_shims/formdata.js b/src/_shims/formdata.js new file mode 100644 index 000000000..a3debe985 --- /dev/null +++ b/src/_shims/formdata.js @@ -0,0 +1,9 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +exports.FormData = FormData; +exports.File = File; +exports.Blob = Blob; + +exports.isPolyfilled = false; diff --git a/src/_shims/formdata.mjs b/src/_shims/formdata.mjs new file mode 100644 index 000000000..2871d1309 --- /dev/null +++ b/src/_shims/formdata.mjs @@ -0,0 +1,11 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +const _FormData = FormData; +const _File = File; +const _Blob = Blob; + +export { _FormData as FormData, _File as File, _Blob as Blob }; + +export const isPolyfilled = false; diff --git a/src/_shims/formdata.node.d.ts b/src/_shims/formdata.node.d.ts new file mode 100644 index 000000000..30eceea80 --- /dev/null +++ b/src/_shims/formdata.node.d.ts @@ -0,0 +1,45 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +import * as fd from 'formdata-node'; + +import type { BlobPart } from '../uploads'; + +type EndingType = 'native' | 'transparent'; + +export interface BlobPropertyBag { + endings?: EndingType; + /** MIME type, e.g., "text/plain" */ + type?: string; +} + +export interface FilePropertyBag extends BlobPropertyBag { + lastModified?: number; +} + +// Use builtin web types if present; else formdata-node types + +// @ts-ignore +type _FormData = unknown extends FormData ? fd.FormData : FormData; +// @ts-ignore +type _File = unknown extends File ? fd.File : File; +// @ts-ignore +type _Blob = unknown extends Blob ? fd.Blob : Blob; + +declare const _FormData: { + new (form?: any): _FormData; + prototype: _FormData; +}; +declare const _File: { + new (fileBits: BlobPart[], fileName: string, options?: FilePropertyBag | undefined): _File; + prototype: _File; +}; +declare const _Blob: { + new (blobParts?: BlobPart[] | undefined, options?: BlobPropertyBag | undefined): _Blob; + prototype: _Blob; +}; + +export const isPolyfilled = false; + +export { _FormData as FormData, _File as File, _Blob as Blob }; diff --git a/src/_shims/formdata.node.js b/src/_shims/formdata.node.js new file mode 100644 index 000000000..892aba543 --- /dev/null +++ b/src/_shims/formdata.node.js @@ -0,0 +1,11 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +const fd = require('formdata-node'); + +exports.FormData = fd.FormData; +exports.File = fd.File; +exports.Blob = fd.Blob; + +exports.isPolyfilled = true; diff --git a/src/_shims/formdata.node.mjs b/src/_shims/formdata.node.mjs new file mode 100644 index 000000000..b35ac4dac --- /dev/null +++ b/src/_shims/formdata.node.mjs @@ -0,0 +1,9 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +import { FormData, File, Blob } from 'formdata-node'; + +export { FormData, File, Blob }; + +export const isPolyfilled = true; diff --git a/src/_shims/getMultipartRequestOptions.node.ts b/src/_shims/getMultipartRequestOptions.node.ts new file mode 100644 index 000000000..3d6907492 --- /dev/null +++ b/src/_shims/getMultipartRequestOptions.node.ts @@ -0,0 +1,25 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +import { FormData } from './formdata.node'; +import type { RequestOptions } from '../core'; +import { Readable } from 'node:stream'; +import { FormDataEncoder } from 'form-data-encoder'; +import { MultipartBody } from '../uploads'; + +export async function getMultipartRequestOptions>( + form: FormData, + opts: RequestOptions, +): Promise> { + const encoder = new FormDataEncoder(form); + const readable = Readable.from(encoder); + const body = new MultipartBody(readable); + const headers = { + ...opts.headers, + ...encoder.headers, + 'Content-Length': encoder.contentLength, + }; + + return { ...opts, body: body as any, headers }; +} diff --git a/src/_shims/getMultipartRequestOptions.ts b/src/_shims/getMultipartRequestOptions.ts new file mode 100644 index 000000000..b9abe6437 --- /dev/null +++ b/src/_shims/getMultipartRequestOptions.ts @@ -0,0 +1,14 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +import { FormData } from './formdata'; +import type { RequestOptions } from '../core'; +import { MultipartBody } from '../uploads'; + +export async function getMultipartRequestOptions>( + form: FormData, + opts: RequestOptions, +): Promise> { + return { ...opts, body: new MultipartBody(form) as any }; +} diff --git a/src/_shims/node-readable.node.ts b/src/_shims/node-readable.node.ts new file mode 100644 index 000000000..0355aa1e1 --- /dev/null +++ b/src/_shims/node-readable.node.ts @@ -0,0 +1,10 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +export type { Readable } from 'node:stream'; +import { ReadStream as FsReadStream } from 'node:fs'; +export type { FsReadStream }; + +export function isFsReadStream(value: any): value is FsReadStream { + return value instanceof FsReadStream; +} diff --git a/src/_shims/node-readable.ts b/src/_shims/node-readable.ts new file mode 100644 index 000000000..fc3f2f554 --- /dev/null +++ b/src/_shims/node-readable.ts @@ -0,0 +1,30 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ + +// shim these Node types to avoid importing @types/node and polluting the user's +// type environment in non-node projects + +export declare class Readable { + readable: boolean; + readonly readableEnded: boolean; + readonly readableFlowing: boolean | null; + readonly readableHighWaterMark: number; + readonly readableLength: number; + readonly readableObjectMode: boolean; + destroyed: boolean; + read(size?: number): any; + pause(): this; + resume(): this; + isPaused(): boolean; + destroy(error?: Error): this; + [Symbol.asyncIterator](): AsyncIterableIterator; +} + +export declare class FsReadStream extends Readable { + path: {}; // node type is string | Buffer +} + +export function isFsReadStream(value: any): value is FsReadStream { + return false; +} diff --git a/src/core.ts b/src/core.ts new file mode 100644 index 000000000..b381aeb75 --- /dev/null +++ b/src/core.ts @@ -0,0 +1,1044 @@ +import { VERSION } from './version'; +import { Stream } from './streaming'; +import { APIError, APIConnectionError, APIConnectionTimeoutError, APIUserAbortError } from './error'; +import type { Readable } from 'openai/_shims/node-readable'; +import { getDefaultAgent, type Agent } from 'openai/_shims/agent'; +import { + fetch, + isPolyfilled as fetchIsPolyfilled, + type RequestInfo, + type RequestInit, + type Response, +} from 'openai/_shims/fetch'; +export { type Response }; +import { isMultipartBody } from './uploads'; +export { + maybeMultipartFormRequestOptions, + multipartFormRequestOptions, + createForm, + type Uploadable, +} from './uploads'; + +const MAX_RETRIES = 2; + +export type Fetch = (url: RequestInfo, init?: RequestInit) => Promise; + +type PromiseOrValue = T | Promise; + +type APIResponseProps = { + response: Response; + options: FinalRequestOptions; + controller: AbortController; +}; + +async function defaultParseResponse(props: APIResponseProps): Promise { + const { response } = props; + if (props.options.stream) { + // Note: there is an invariant here that isn't represented in the type system + // that if you set `stream: true` the response type must also be `Stream` + return new Stream(response, props.controller) as any; + } + + const contentType = response.headers.get('content-type'); + if (contentType?.includes('application/json')) { + const json = await response.json(); + + debug('response', response.status, response.url, response.headers, json); + + return json as T; + } + + // TODO handle blob, arraybuffer, other content types, etc. + const text = await response.text(); + debug('response', response.status, response.url, response.headers, text); + return text as T; +} + +/** + * A subclass of `Promise` providing additional helper methods + * for interacting with the SDK. + */ +export class APIPromise extends Promise { + private parsedPromise: Promise | undefined; + + constructor( + private responsePromise: Promise, + private parseResponse: (props: APIResponseProps) => PromiseOrValue = defaultParseResponse, + ) { + super((resolve) => { + // this is maybe a bit weird but this has to be a no-op to not implicitly + // parse the response body; instead .then, .catch, .finally are overridden + // to parse the response + resolve(null as any); + }); + } + + _thenUnwrap(transform: (data: T) => U): APIPromise { + return new APIPromise(this.responsePromise, async (props) => transform(await this.parseResponse(props))); + } + + /** + * Gets the raw `Response` instance instead of parsing the response + * data. + * + * If you want to parse the response body but still get the `Response` + * instance, you can use {@link withResponse()}. + */ + asResponse(): Promise { + return this.responsePromise.then((p) => p.response); + } + /** + * Gets the parsed response data and the raw `Response` instance. + * + * If you just want to get the raw `Response` instance without parsing it, + * you can use {@link asResponse()}. + */ + async withResponse(): Promise<{ data: T; response: Response }> { + const [data, response] = await Promise.all([this.parse(), this.asResponse()]); + return { data, response }; + } + + private parse(): Promise { + if (!this.parsedPromise) { + this.parsedPromise = this.responsePromise.then(this.parseResponse); + } + return this.parsedPromise; + } + + override then( + onfulfilled?: ((value: T) => TResult1 | PromiseLike) | undefined | null, + onrejected?: ((reason: any) => TResult2 | PromiseLike) | undefined | null, + ): Promise { + return this.parse().then(onfulfilled, onrejected); + } + + override catch( + onrejected?: ((reason: any) => TResult | PromiseLike) | undefined | null, + ): Promise { + return this.parse().catch(onrejected); + } + + override finally(onfinally?: (() => void) | undefined | null): Promise { + return this.parse().finally(onfinally); + } +} + +export abstract class APIClient { + baseURL: string; + maxRetries: number; + timeout: number; + httpAgent: Agent | undefined; + + private fetch: Fetch; + protected idempotencyHeader?: string; + + constructor({ + baseURL, + maxRetries, + timeout = 600000, // 10 minutes + httpAgent, + fetch: overridenFetch, + }: { + baseURL: string; + maxRetries?: number | undefined; + timeout: number | undefined; + httpAgent: Agent | undefined; + fetch: Fetch | undefined; + }) { + this.baseURL = baseURL; + this.maxRetries = validatePositiveInteger('maxRetries', maxRetries ?? MAX_RETRIES); + this.timeout = validatePositiveInteger('timeout', timeout); + this.httpAgent = httpAgent; + + this.fetch = overridenFetch ?? fetch; + } + + protected authHeaders(): Headers { + return {}; + } + + /** + * Override this to add your own default headers, for example: + * + * { + * ...super.defaultHeaders(), + * Authorization: 'Bearer 123', + * } + */ + protected defaultHeaders(): Headers { + return { + Accept: 'application/json', + 'Content-Type': 'application/json', + 'User-Agent': this.getUserAgent(), + ...getPlatformHeaders(), + ...this.authHeaders(), + }; + } + + protected abstract defaultQuery(): DefaultQuery | undefined; + + /** + * Override this to add your own headers validation: + */ + protected validateHeaders(headers: Headers, customHeaders: Headers) {} + + protected defaultIdempotencyKey(): string { + return `stainless-node-retry-${uuid4()}`; + } + + get(path: string, opts?: PromiseOrValue>): APIPromise { + return this.methodRequest('get', path, opts); + } + + post(path: string, opts?: PromiseOrValue>): APIPromise { + return this.methodRequest('post', path, opts); + } + + patch(path: string, opts?: PromiseOrValue>): APIPromise { + return this.methodRequest('patch', path, opts); + } + + put(path: string, opts?: PromiseOrValue>): APIPromise { + return this.methodRequest('put', path, opts); + } + + delete(path: string, opts?: PromiseOrValue>): APIPromise { + return this.methodRequest('delete', path, opts); + } + + private methodRequest( + method: HTTPMethod, + path: string, + opts?: PromiseOrValue>, + ): APIPromise { + return this.request(Promise.resolve(opts).then((opts) => ({ method, path, ...opts }))); + } + + getAPIList = AbstractPage>( + path: string, + Page: new (...args: any[]) => PageClass, + opts?: RequestOptions, + ): PagePromise { + return this.requestAPIList(Page, { method: 'get', path, ...opts }); + } + + private calculateContentLength(body: unknown): string | null { + if (typeof body === 'string') { + if (typeof Buffer !== 'undefined') { + return Buffer.byteLength(body, 'utf8').toString(); + } + + if (typeof TextEncoder !== 'undefined') { + const encoder = new TextEncoder(); + const encoded = encoder.encode(body); + return encoded.length.toString(); + } + } + + return null; + } + + buildRequest( + options: FinalRequestOptions, + ): { req: RequestInit; url: string; timeout: number } { + const { method, path, query, headers: headers = {} } = options; + + const body = + isMultipartBody(options.body) ? options.body.body + : options.body ? JSON.stringify(options.body, null, 2) + : null; + const contentLength = this.calculateContentLength(body); + + const url = this.buildURL(path!, query); + if ('timeout' in options) validatePositiveInteger('timeout', options.timeout); + const timeout = options.timeout ?? this.timeout; + const httpAgent = options.httpAgent ?? this.httpAgent ?? getDefaultAgent(url); + const minAgentTimeout = timeout + 1000; + if ( + typeof (httpAgent as any)?.options?.timeout === 'number' && + minAgentTimeout > ((httpAgent as any).options.timeout ?? 0) + ) { + // Allow any given request to bump our agent active socket timeout. + // This may seem strange, but leaking active sockets should be rare and not particularly problematic, + // and without mutating agent we would need to create more of them. + // This tradeoff optimizes for performance. + (httpAgent as any).options.timeout = minAgentTimeout; + } + + if (this.idempotencyHeader && method !== 'get') { + if (!options.idempotencyKey) options.idempotencyKey = this.defaultIdempotencyKey(); + headers[this.idempotencyHeader] = options.idempotencyKey; + } + + const reqHeaders: Record = { + ...(contentLength && { 'Content-Length': contentLength }), + ...this.defaultHeaders(), + ...headers, + }; + // let builtin fetch set the Content-Type for multipart bodies + if (isMultipartBody(options.body) && !fetchIsPolyfilled) { + delete reqHeaders['Content-Type']; + } + + // Strip any headers being explicitly omitted with null + Object.keys(reqHeaders).forEach((key) => reqHeaders[key] === null && delete reqHeaders[key]); + + const req: RequestInit = { + method, + ...(body && { body: body as any }), + headers: reqHeaders, + ...(httpAgent && { agent: httpAgent }), + // @ts-ignore node-fetch uses a custom AbortSignal type that is + // not compatible with standard web types + signal: options.signal ?? null, + }; + + this.validateHeaders(reqHeaders, headers); + + return { req, url, timeout }; + } + + /** + * Used as a callback for mutating the given `RequestInit` object. + * + * This is useful for cases where you want to add certain headers based off of + * the request properties, e.g. `method` or `url`. + */ + protected async prepareRequest(request: RequestInit, { url }: { url: string }): Promise {} + + protected makeStatusError( + status: number | undefined, + error: Object | undefined, + message: string | undefined, + headers: Headers | undefined, + ) { + return APIError.generate(status, error, message, headers); + } + + request( + options: PromiseOrValue>, + remainingRetries: number | null = null, + ): APIPromise { + return new APIPromise(this.makeRequest(options, remainingRetries)); + } + + private async makeRequest( + optionsInput: PromiseOrValue, + retriesRemaining: number | null, + ): Promise { + const options = await optionsInput; + if (retriesRemaining == null) { + retriesRemaining = options.maxRetries ?? this.maxRetries; + } + + const { req, url, timeout } = this.buildRequest(options); + + await this.prepareRequest(req, { url }); + + debug('request', url, options, req.headers); + + if (options.signal?.aborted) { + throw new APIUserAbortError(); + } + + const controller = new AbortController(); + const response = await this.fetchWithTimeout(url, req, timeout, controller).catch(castToError); + + if (response instanceof Error) { + if (options.signal?.aborted) { + throw new APIUserAbortError(); + } + if (retriesRemaining) { + return this.retryRequest(options, retriesRemaining); + } + if (response.name === 'AbortError') { + throw new APIConnectionTimeoutError(); + } + throw new APIConnectionError({ cause: response }); + } + + const responseHeaders = createResponseHeaders(response.headers); + + if (!response.ok) { + if (retriesRemaining && this.shouldRetry(response)) { + return this.retryRequest(options, retriesRemaining, responseHeaders); + } + + const errText = await response.text().catch(() => 'Unknown'); + const errJSON = safeJSON(errText); + const errMessage = errJSON ? undefined : errText; + + debug('response', response.status, url, responseHeaders, errMessage); + + const err = this.makeStatusError(response.status, errJSON, errMessage, responseHeaders); + throw err; + } + + return { response, options, controller }; + } + + requestAPIList = AbstractPage>( + Page: new (...args: ConstructorParameters) => PageClass, + options: FinalRequestOptions, + ): PagePromise { + const request = this.makeRequest(options, null); + return new PagePromise(this, request, Page); + } + + buildURL(path: string, query: Req | undefined): string { + const url = + isAbsoluteURL(path) ? + new URL(path) + : new URL(this.baseURL + (this.baseURL.endsWith('/') && path.startsWith('/') ? path.slice(1) : path)); + + const defaultQuery = this.defaultQuery(); + if (!isEmptyObj(defaultQuery)) { + query = { ...defaultQuery, ...query } as Req; + } + + if (query) { + url.search = this.stringifyQuery(query); + } + + return url.toString(); + } + + protected stringifyQuery(query: Record): string { + return Object.entries(query) + .filter(([_, value]) => typeof value !== 'undefined') + .map(([key, value]) => { + if (typeof value === 'string' || typeof value === 'number' || typeof value === 'boolean') { + return `${encodeURIComponent(key)}=${encodeURIComponent(value)}`; + } + if (value === null) { + return `${encodeURIComponent(key)}=`; + } + throw new Error( + `Cannot stringify type ${typeof value}; Expected string, number, boolean, or null. If you need to pass nested query parameters, you can manually encode them, e.g. { query: { 'foo[key1]': value1, 'foo[key2]': value2 } }, and please open a GitHub issue requesting better support for your use case.`, + ); + }) + .join('&'); + } + + async fetchWithTimeout( + url: RequestInfo, + init: RequestInit | undefined, + ms: number, + controller: AbortController, + ): Promise { + const { signal, ...options } = init || {}; + if (signal) signal.addEventListener('abort', () => controller.abort()); + + const timeout = setTimeout(() => controller.abort(), ms); + + return this.getRequestClient() + .fetch(url, { signal: controller.signal as any, ...options }) + .finally(() => { + clearTimeout(timeout); + }); + } + + protected getRequestClient(): RequestClient { + return { fetch: this.fetch }; + } + + private shouldRetry(response: Response): boolean { + // Note this is not a standard header. + const shouldRetryHeader = response.headers.get('x-should-retry'); + + // If the server explicitly says whether or not to retry, obey. + if (shouldRetryHeader === 'true') return true; + if (shouldRetryHeader === 'false') return false; + + // Retry on lock timeouts. + if (response.status === 409) return true; + + // Retry on rate limits. + if (response.status === 429) return true; + + // Retry internal errors. + if (response.status >= 500) return true; + + return false; + } + + private async retryRequest( + options: FinalRequestOptions, + retriesRemaining: number, + responseHeaders?: Headers | undefined, + ): Promise { + retriesRemaining -= 1; + + // About the Retry-After header: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Retry-After + // + // TODO: we may want to handle the case where the header is using the http-date syntax: "Retry-After: ". + // See https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Retry-After#syntax for details. + const retryAfter = parseInt(responseHeaders?.['retry-after'] || ''); + + const maxRetries = options.maxRetries ?? this.maxRetries; + const timeout = this.calculateRetryTimeoutSeconds(retriesRemaining, retryAfter, maxRetries) * 1000; + await sleep(timeout); + + return this.makeRequest(options, retriesRemaining); + } + + private calculateRetryTimeoutSeconds( + retriesRemaining: number, + retryAfter: number, + maxRetries: number, + ): number { + const initialRetryDelay = 0.5; + const maxRetryDelay = 2; + + // If the API asks us to wait a certain amount of time (and it's a reasonable amount), + // just do what it says. + if (Number.isInteger(retryAfter) && retryAfter <= 60) { + return retryAfter; + } + + const numRetries = maxRetries - retriesRemaining; + + // Apply exponential backoff, but not more than the max. + const sleepSeconds = Math.min(initialRetryDelay * Math.pow(numRetries - 1, 2), maxRetryDelay); + + // Apply some jitter, plus-or-minus half a second. + const jitter = Math.random() - 0.5; + + return sleepSeconds + jitter; + } + + private getUserAgent(): string { + return `${this.constructor.name}/JS ${VERSION}`; + } +} + +export class APIResource { + protected client: APIClient; + constructor(client: APIClient) { + this.client = client; + + this.get = client.get.bind(client); + this.post = client.post.bind(client); + this.patch = client.patch.bind(client); + this.put = client.put.bind(client); + this.delete = client.delete.bind(client); + this.getAPIList = client.getAPIList.bind(client); + } + + protected get: APIClient['get']; + protected post: APIClient['post']; + protected patch: APIClient['patch']; + protected put: APIClient['put']; + protected delete: APIClient['delete']; + protected getAPIList: APIClient['getAPIList']; +} + +export type PageInfo = { url: URL } | { params: Record | null }; + +export abstract class AbstractPage implements AsyncIterable { + #client: APIClient; + protected options: FinalRequestOptions; + + protected response: Response; + protected body: unknown; + + constructor(client: APIClient, response: Response, body: unknown, options: FinalRequestOptions) { + this.#client = client; + this.options = options; + this.response = response; + this.body = body; + } + + /** + * @deprecated Use nextPageInfo instead + */ + abstract nextPageParams(): Partial> | null; + abstract nextPageInfo(): PageInfo | null; + + abstract getPaginatedItems(): Item[]; + + hasNextPage(): boolean { + const items = this.getPaginatedItems(); + if (!items.length) return false; + return this.nextPageInfo() != null; + } + + async getNextPage(): Promise> { + const nextInfo = this.nextPageInfo(); + if (!nextInfo) { + throw new Error( + 'No next page expected; please check `.hasNextPage()` before calling `.getNextPage()`.', + ); + } + const nextOptions = { ...this.options }; + if ('params' in nextInfo) { + nextOptions.query = { ...nextOptions.query, ...nextInfo.params }; + } else if ('url' in nextInfo) { + const params = [...Object.entries(nextOptions.query || {}), ...nextInfo.url.searchParams.entries()]; + for (const [key, value] of params) { + nextInfo.url.searchParams.set(key, value); + } + nextOptions.query = undefined; + nextOptions.path = nextInfo.url.toString(); + } + return await this.#client.requestAPIList(this.constructor as any, nextOptions); + } + + async *iterPages() { + // eslint-disable-next-line @typescript-eslint/no-this-alias + let page: AbstractPage = this; + yield page; + while (page.hasNextPage()) { + page = await page.getNextPage(); + yield page; + } + } + + async *[Symbol.asyncIterator]() { + for await (const page of this.iterPages()) { + for (const item of page.getPaginatedItems()) { + yield item; + } + } + } +} + +/** + * This subclass of Promise will resolve to an instantiated Page once the request completes. + * + * It also implements AsyncIterable to allow auto-paginating iteration on an unawaited list call, eg: + * + * for await (const item of client.items.list()) { + * console.log(item) + * } + */ +export class PagePromise< + PageClass extends AbstractPage, + Item = ReturnType[number], + > + extends APIPromise + implements AsyncIterable +{ + constructor( + client: APIClient, + request: Promise, + Page: new (...args: ConstructorParameters) => PageClass, + ) { + super( + request, + async (props) => new Page(client, props.response, await defaultParseResponse(props), props.options), + ); + } + + /** + * Allow auto-paginating iteration on an unawaited list call, eg: + * + * for await (const item of client.items.list()) { + * console.log(item) + * } + */ + async *[Symbol.asyncIterator]() { + const page = await this; + for await (const item of page) { + yield item; + } + } +} + +export const createResponseHeaders = ( + headers: Awaited>['headers'], +): Record => { + return new Proxy( + Object.fromEntries( + // @ts-ignore + headers.entries(), + ), + { + get(target, name) { + const key = name.toString(); + return target[key.toLowerCase()] || target[key]; + }, + }, + ); +}; + +type HTTPMethod = 'get' | 'post' | 'put' | 'patch' | 'delete'; + +export type RequestClient = { fetch: Fetch }; +export type Headers = Record; +export type DefaultQuery = Record; +export type KeysEnum = { [P in keyof Required]: true }; + +export type RequestOptions | Readable> = { + method?: HTTPMethod; + path?: string; + query?: Req | undefined; + body?: Req | undefined; + headers?: Headers | undefined; + + maxRetries?: number; + stream?: boolean | undefined; + timeout?: number; + httpAgent?: Agent; + signal?: AbortSignal | undefined | null; + idempotencyKey?: string; +}; + +// This is required so that we can determine if a given object matches the RequestOptions +// type at runtime. While this requires duplication, it is enforced by the TypeScript +// compiler such that any missing / extraneous keys will cause an error. +const requestOptionsKeys: KeysEnum = { + method: true, + path: true, + query: true, + body: true, + headers: true, + + maxRetries: true, + stream: true, + timeout: true, + httpAgent: true, + signal: true, + idempotencyKey: true, +}; + +export const isRequestOptions = (obj: unknown): obj is RequestOptions => { + return ( + typeof obj === 'object' && + obj !== null && + !isEmptyObj(obj) && + Object.keys(obj).every((k) => hasOwn(requestOptionsKeys, k)) + ); +}; + +export type FinalRequestOptions | Readable> = RequestOptions & { + method: HTTPMethod; + path: string; +}; + +declare const Deno: any; +declare const EdgeRuntime: any; +type Arch = 'x32' | 'x64' | 'arm' | 'arm64' | `other:${string}` | 'unknown'; +type PlatformName = + | 'MacOS' + | 'Linux' + | 'Windows' + | 'FreeBSD' + | 'OpenBSD' + | 'iOS' + | 'Android' + | `Other:${string}` + | 'Unknown'; +type Browser = 'ie' | 'edge' | 'chrome' | 'firefox' | 'safari'; +type PlatformProperties = { + 'X-Stainless-Lang': 'js'; + 'X-Stainless-Package-Version': string; + 'X-Stainless-OS': PlatformName; + 'X-Stainless-Arch': Arch; + 'X-Stainless-Runtime': 'node' | 'deno' | 'edge' | `browser:${Browser}` | 'unknown'; + 'X-Stainless-Runtime-Version': string; +}; +const getPlatformProperties = (): PlatformProperties => { + if (typeof Deno !== 'undefined' && Deno.build != null) { + return { + 'X-Stainless-Lang': 'js', + 'X-Stainless-Package-Version': VERSION, + 'X-Stainless-OS': normalizePlatform(Deno.build.os), + 'X-Stainless-Arch': normalizeArch(Deno.build.arch), + 'X-Stainless-Runtime': 'deno', + 'X-Stainless-Runtime-Version': Deno.version, + }; + } + if (typeof EdgeRuntime !== 'undefined') { + return { + 'X-Stainless-Lang': 'js', + 'X-Stainless-Package-Version': VERSION, + 'X-Stainless-OS': 'Unknown', + 'X-Stainless-Arch': `other:${EdgeRuntime}`, + 'X-Stainless-Runtime': 'edge', + 'X-Stainless-Runtime-Version': process.version, + }; + } + // Check if Node.js + if (Object.prototype.toString.call(typeof process !== 'undefined' ? process : 0) === '[object process]') { + return { + 'X-Stainless-Lang': 'js', + 'X-Stainless-Package-Version': VERSION, + 'X-Stainless-OS': normalizePlatform(process.platform), + 'X-Stainless-Arch': normalizeArch(process.arch), + 'X-Stainless-Runtime': 'node', + 'X-Stainless-Runtime-Version': process.version, + }; + } + + const browserInfo = getBrowserInfo(); + if (browserInfo) { + return { + 'X-Stainless-Lang': 'js', + 'X-Stainless-Package-Version': VERSION, + 'X-Stainless-OS': 'Unknown', + 'X-Stainless-Arch': 'unknown', + 'X-Stainless-Runtime': `browser:${browserInfo.browser}`, + 'X-Stainless-Runtime-Version': browserInfo.version, + }; + } + + // TODO add support for Cloudflare workers, etc. + return { + 'X-Stainless-Lang': 'js', + 'X-Stainless-Package-Version': VERSION, + 'X-Stainless-OS': 'Unknown', + 'X-Stainless-Arch': 'unknown', + 'X-Stainless-Runtime': 'unknown', + 'X-Stainless-Runtime-Version': 'unknown', + }; +}; + +type BrowserInfo = { + browser: Browser; + version: string; +}; + +declare const navigator: { userAgent: string } | undefined; + +// Note: modified from https://github.com/JS-DevTools/host-environment/blob/b1ab79ecde37db5d6e163c050e54fe7d287d7c92/src/isomorphic.browser.ts +function getBrowserInfo(): BrowserInfo | null { + if (!navigator || typeof navigator === 'undefined') { + return null; + } + + // NOTE: The order matters here! + const browserPatterns = [ + { key: 'edge' as const, pattern: /Edge(?:\W+(\d+)\.(\d+)(?:\.(\d+))?)?/ }, + { key: 'ie' as const, pattern: /MSIE(?:\W+(\d+)\.(\d+)(?:\.(\d+))?)?/ }, + { key: 'ie' as const, pattern: /Trident(?:.*rv\:(\d+)\.(\d+)(?:\.(\d+))?)?/ }, + { key: 'chrome' as const, pattern: /Chrome(?:\W+(\d+)\.(\d+)(?:\.(\d+))?)?/ }, + { key: 'firefox' as const, pattern: /Firefox(?:\W+(\d+)\.(\d+)(?:\.(\d+))?)?/ }, + { key: 'safari' as const, pattern: /(?:Version\W+(\d+)\.(\d+)(?:\.(\d+))?)?(?:\W+Mobile\S*)?\W+Safari/ }, + ]; + + // Find the FIRST matching browser + for (const { key, pattern } of browserPatterns) { + const match = pattern.exec(navigator.userAgent); + if (match) { + const major = match[1] || 0; + const minor = match[2] || 0; + const patch = match[3] || 0; + + return { browser: key, version: `${major}.${minor}.${patch}` }; + } + } + + return null; +} + +const normalizeArch = (arch: string): Arch => { + // Node docs: + // - https://nodejs.org/api/process.html#processarch + // Deno docs: + // - https://doc.deno.land/deno/stable/~/Deno.build + if (arch === 'x32') return 'x32'; + if (arch === 'x86_64' || arch === 'x64') return 'x64'; + if (arch === 'arm') return 'arm'; + if (arch === 'aarch64' || arch === 'arm64') return 'arm64'; + if (arch) return `other:${arch}`; + return 'unknown'; +}; + +const normalizePlatform = (platform: string): PlatformName => { + // Node platforms: + // - https://nodejs.org/api/process.html#processplatform + // Deno platforms: + // - https://doc.deno.land/deno/stable/~/Deno.build + // - https://github.com/denoland/deno/issues/14799 + + platform = platform.toLowerCase(); + + // NOTE: this iOS check is untested and may not work + // Node does not work natively on IOS, there is a fork at + // https://github.com/nodejs-mobile/nodejs-mobile + // however it is unknown at the time of writing how to detect if it is running + if (platform.includes('ios')) return 'iOS'; + if (platform === 'android') return 'Android'; + if (platform === 'darwin') return 'MacOS'; + if (platform === 'win32') return 'Windows'; + if (platform === 'freebsd') return 'FreeBSD'; + if (platform === 'openbsd') return 'OpenBSD'; + if (platform === 'linux') return 'Linux'; + if (platform) return `Other:${platform}`; + return 'Unknown'; +}; + +let _platformHeaders: PlatformProperties; +const getPlatformHeaders = () => { + return (_platformHeaders ??= getPlatformProperties()); +}; + +export const safeJSON = (text: string) => { + try { + return JSON.parse(text); + } catch (err) { + return undefined; + } +}; + +// https://stackoverflow.com/a/19709846 +const startsWithSchemeRegexp = new RegExp('^(?:[a-z]+:)?//', 'i'); +const isAbsoluteURL = (url: string): boolean => { + return startsWithSchemeRegexp.test(url); +}; + +const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms)); + +const validatePositiveInteger = (name: string, n: unknown): number => { + if (typeof n !== 'number' || !Number.isInteger(n)) { + throw new Error(`${name} must be an integer`); + } + if (n < 0) { + throw new Error(`${name} must be a positive integer`); + } + return n; +}; + +export const castToError = (err: any): Error => { + if (err instanceof Error) return err; + return new Error(err); +}; + +export const ensurePresent = (value: T | null | undefined): T => { + if (value == null) throw new Error(`Expected a value to be given but received ${value} instead.`); + return value; +}; + +/** + * Read an environment variable. + * + * Will return undefined if the environment variable doesn't exist or cannot be accessed. + */ +export const readEnv = (env: string): string | undefined => { + if (typeof process !== 'undefined') { + return process.env?.[env] ?? undefined; + } + if (typeof Deno !== 'undefined') { + return Deno.env?.get?.(env); + } + return undefined; +}; + +export const coerceInteger = (value: unknown): number => { + if (typeof value === 'number') return Math.round(value); + if (typeof value === 'string') return parseInt(value, 10); + + throw new Error(`Could not coerce ${value} (type: ${typeof value}) into a number`); +}; + +export const coerceFloat = (value: unknown): number => { + if (typeof value === 'number') return value; + if (typeof value === 'string') return parseFloat(value); + + throw new Error(`Could not coerce ${value} (type: ${typeof value}) into a number`); +}; + +export const coerceBoolean = (value: unknown): boolean => { + if (typeof value === 'boolean') return value; + if (typeof value === 'string') return value === 'true'; + return Boolean(value); +}; + +export const maybeCoerceInteger = (value: unknown): number | undefined => { + if (value === undefined) { + return undefined; + } + return coerceInteger(value); +}; + +export const maybeCoerceFloat = (value: unknown): number | undefined => { + if (value === undefined) { + return undefined; + } + return coerceFloat(value); +}; + +export const maybeCoerceBoolean = (value: unknown): boolean | undefined => { + if (value === undefined) { + return undefined; + } + return coerceBoolean(value); +}; + +// https://stackoverflow.com/a/34491287 +export function isEmptyObj(obj: Object | null | undefined): boolean { + if (!obj) return true; + for (const _k in obj) return false; + return true; +} + +// https://eslint.org/docs/latest/rules/no-prototype-builtins +export function hasOwn(obj: Object, key: string): boolean { + return Object.prototype.hasOwnProperty.call(obj, key); +} + +export function debug(action: string, ...args: any[]) { + if (typeof process !== 'undefined' && process.env['DEBUG'] === 'true') { + console.log(`OpenAI:DEBUG:${action}`, ...args); + } +} + +/** + * https://stackoverflow.com/a/2117523 + */ +const uuid4 = () => { + return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, (c) => { + const r = (Math.random() * 16) | 0; + const v = c === 'x' ? r : (r & 0x3) | 0x8; + return v.toString(16); + }); +}; + +export const isRunningInBrowser = () => { + return ( + // @ts-ignore + typeof window !== 'undefined' && + // @ts-ignore + typeof window.document !== 'undefined' && + // @ts-ignore + typeof navigator !== 'undefined' + ); +}; + +export interface HeadersProtocol { + get: (header: string) => string | null | undefined; +} +export type HeadersLike = Record | HeadersProtocol; + +export const isHeadersProtocol = (headers: any): headers is HeadersProtocol => { + return typeof headers?.get === 'function'; +}; + +export const getHeader = (headers: HeadersLike, key: string): string | null | undefined => { + const lowerKey = key.toLowerCase(); + if (isHeadersProtocol(headers)) return headers.get(key) || headers.get(lowerKey); + const value = headers[key] || headers[lowerKey]; + if (Array.isArray(value)) { + if (value.length <= 1) return value[0]; + console.warn(`Received ${value.length} entries for the ${key} header, using the first entry.`); + return value[0]; + } + return value; +}; + +/** + * Encodes a string to Base64 format. + */ +export const toBase64 = (str: string | null | undefined): string => { + if (!str) return ''; + if (typeof Buffer !== 'undefined') { + return Buffer.from(str).toString('base64'); + } + + if (typeof btoa !== 'undefined') { + return btoa(str); + } + + throw new Error('Cannot generate b64 string; Expected `Buffer` or `btoa` to be defined'); +}; diff --git a/src/error.ts b/src/error.ts new file mode 100644 index 000000000..818c6b413 --- /dev/null +++ b/src/error.ts @@ -0,0 +1,142 @@ +// File generated from our OpenAPI spec by Stainless. + +import { castToError, Headers } from './core'; + +export class APIError extends Error { + readonly status: number | undefined; + readonly headers: Headers | undefined; + readonly error: Object | undefined; + + readonly code: string | null | undefined; + readonly param: string | null | undefined; + readonly type: string | undefined; + + constructor( + status: number | undefined, + error: Object | undefined, + message: string | undefined, + headers: Headers | undefined, + ) { + super(APIError.makeMessage(error, message)); + this.status = status; + this.headers = headers; + + const data = error as Record; + this.error = data; + this.code = data?.['code']; + this.param = data?.['param']; + this.type = data?.['type']; + } + + private static makeMessage(error: any, message: string | undefined) { + return ( + error?.message ? + typeof error.message === 'string' ? error.message + : JSON.stringify(error.message) + : error ? JSON.stringify(error) + : message || 'Unknown error occurred' + ); + } + + static generate( + status: number | undefined, + errorResponse: Object | undefined, + message: string | undefined, + headers: Headers | undefined, + ) { + if (!status) { + return new APIConnectionError({ cause: castToError(errorResponse) }); + } + + const error = (errorResponse as Record)?.['error']; + + if (status === 400) { + return new BadRequestError(status, error, message, headers); + } + + if (status === 401) { + return new AuthenticationError(status, error, message, headers); + } + + if (status === 403) { + return new PermissionDeniedError(status, error, message, headers); + } + + if (status === 404) { + return new NotFoundError(status, error, message, headers); + } + + if (status === 409) { + return new ConflictError(status, error, message, headers); + } + + if (status === 422) { + return new UnprocessableEntityError(status, error, message, headers); + } + + if (status === 429) { + return new RateLimitError(status, error, message, headers); + } + + if (status >= 500) { + return new InternalServerError(status, error, message, headers); + } + + return new APIError(status, error, message, headers); + } +} + +export class APIUserAbortError extends APIError { + override readonly status: undefined = undefined; + + constructor({ message }: { message?: string } = {}) { + super(undefined, undefined, message || 'Request was aborted.', undefined); + } +} + +export class APIConnectionError extends APIError { + override readonly status: undefined = undefined; + + constructor({ message, cause }: { message?: string; cause?: Error | undefined }) { + super(undefined, undefined, message || 'Connection error.', undefined); + // in some environments the 'cause' property is already declared + // @ts-ignore + if (cause) this.cause = cause; + } +} + +export class APIConnectionTimeoutError extends APIConnectionError { + constructor() { + super({ message: 'Request timed out.' }); + } +} + +export class BadRequestError extends APIError { + override readonly status: 400 = 400; +} + +export class AuthenticationError extends APIError { + override readonly status: 401 = 401; +} + +export class PermissionDeniedError extends APIError { + override readonly status: 403 = 403; +} + +export class NotFoundError extends APIError { + override readonly status: 404 = 404; +} + +export class ConflictError extends APIError { + override readonly status: 409 = 409; +} + +export class UnprocessableEntityError extends APIError { + override readonly status: 422 = 422; +} + +export class RateLimitError extends APIError { + override readonly status: 429 = 429; +} + +export class InternalServerError extends APIError {} diff --git a/src/index.ts b/src/index.ts new file mode 100644 index 000000000..21d207ec1 --- /dev/null +++ b/src/index.ts @@ -0,0 +1,262 @@ +// File generated from our OpenAPI spec by Stainless. + +import * as Core from './core'; +import * as Pagination from './pagination'; +import * as API from './resources/index'; +import * as Errors from './error'; +import type { Agent } from 'openai/_shims/agent'; +import * as Uploads from './uploads'; + +export interface ClientOptions { + /** + * Defaults to process.env["OPENAI_API_KEY"]. + */ + apiKey?: string; + + /** + * Override the default base URL for the API, e.g., "https://api.example.com/v2/" + */ + baseURL?: string; + + /** + * The maximum amount of time (in milliseconds) that the client should wait for a response + * from the server before timing out a single request. + * + * Note that request timeouts are retried by default, so in a worst-case scenario you may wait + * much longer than this timeout before the promise succeeds or fails. + */ + timeout?: number; + + /** + * An HTTP agent used to manage HTTP(S) connections. + * + * If not provided, an agent will be constructed by default in the Node.js environment, + * otherwise no agent is used. + */ + httpAgent?: Agent; + + /** + * Specify a custom `fetch` function implementation. + * + * If not provided, we use `node-fetch` on Node.js and otherwise expect that `fetch` is + * defined globally. + */ + fetch?: Core.Fetch | undefined; + + /** + * The maximum number of times that the client will retry a request in case of a + * temporary failure, like a network error or a 5XX error from the server. + * + * @default 2 + */ + maxRetries?: number; + + /** + * Default headers to include with every request to the API. + * + * These can be removed in individual requests by explicitly setting the + * header to `undefined` or `null` in request options. + */ + defaultHeaders?: Core.Headers; + + /** + * Default query parameters to include with every request to the API. + * + * These can be removed in individual requests by explicitly setting the + * param to `undefined` in request options. + */ + defaultQuery?: Core.DefaultQuery; + + /** + * By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers. + * Only set this option to `true` if you understand the risks and have appropriate mitigations in place. + */ + dangerouslyAllowBrowser?: boolean; + + organization?: string | null; +} + +/** API Client for interfacing with the OpenAI API. */ +export class OpenAI extends Core.APIClient { + apiKey: string; + organization?: string | null; + + private _options: ClientOptions; + + /** + * API Client for interfacing with the OpenAI API. + * + * @param {string} [opts.apiKey=process.env['OPENAI_API_KEY']] - The API Key to send to the API. + * @param {string} [opts.baseURL] - Override the default base URL for the API. + * @param {number} [opts.timeout=10 minutes] - The maximum amount of time (in milliseconds) the client will wait for a response before timing out. + * @param {number} [opts.httpAgent] - An HTTP agent used to manage HTTP(s) connections. + * @param {Core.Fetch} [opts.fetch] - Specify a custom `fetch` function implementation. + * @param {number} [opts.maxRetries=2] - The maximum number of times the client will retry a request. + * @param {Core.Headers} opts.defaultHeaders - Default headers to include with every request to the API. + * @param {Core.DefaultQuery} opts.defaultQuery - Default query parameters to include with every request to the API. + * @param {boolean} [opts.dangerouslyAllowBrowser=false] - By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers. + * @param {string | null} [opts.organization] + */ + constructor({ + apiKey = Core.readEnv('OPENAI_API_KEY'), + organization = Core.readEnv('OPENAI_ORG_ID') ?? null, + ...opts + }: ClientOptions = {}) { + if (apiKey === undefined) { + throw new Error( + "The OPENAI_API_KEY environment variable is missing or empty; either provide it, or instantiate the OpenAI client with an apiKey option, like new OpenAI({ apiKey: 'my apiKey' }).", + ); + } + + const options: ClientOptions = { + apiKey, + organization, + baseURL: `https://api.openai.com/v1`, + ...opts, + }; + + if (!options.dangerouslyAllowBrowser && Core.isRunningInBrowser()) { + throw new Error( + "It looks like you're running in a browser-like environment.\n\nThis is disabled by default, as it risks exposing your secret API credentials to attackers.\nIf you understand the risks and have appropriate mitigations in place,\nyou can set the `dangerouslyAllowBrowser` option to `true`, e.g.,\n\nnew OpenAI({ apiKey, dangerouslyAllowBrowser: true });\n\nhttps://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety\n", + ); + } + + super({ + baseURL: options.baseURL!, + timeout: options.timeout ?? 600000 /* 10 minutes */, + httpAgent: options.httpAgent, + maxRetries: options.maxRetries, + fetch: options.fetch, + }); + this._options = options; + + this.apiKey = apiKey; + this.organization = organization; + } + + completions: API.Completions = new API.Completions(this); + chat: API.Chat = new API.Chat(this); + edits: API.Edits = new API.Edits(this); + embeddings: API.Embeddings = new API.Embeddings(this); + files: API.Files = new API.Files(this); + images: API.Images = new API.Images(this); + audio: API.Audio = new API.Audio(this); + moderations: API.Moderations = new API.Moderations(this); + models: API.Models = new API.Models(this); + fineTunes: API.FineTunes = new API.FineTunes(this); + + protected override defaultQuery(): Core.DefaultQuery | undefined { + return this._options.defaultQuery; + } + + protected override defaultHeaders(): Core.Headers { + return { + ...super.defaultHeaders(), + 'OpenAI-Organization': this.organization, + ...this._options.defaultHeaders, + }; + } + + protected override authHeaders(): Core.Headers { + return { Authorization: `Bearer ${this.apiKey}` }; + } + + static OpenAI = this; + + static APIError = Errors.APIError; + static APIConnectionError = Errors.APIConnectionError; + static APIConnectionTimeoutError = Errors.APIConnectionTimeoutError; + static APIUserAbortError = Errors.APIUserAbortError; + static NotFoundError = Errors.NotFoundError; + static ConflictError = Errors.ConflictError; + static RateLimitError = Errors.RateLimitError; + static BadRequestError = Errors.BadRequestError; + static AuthenticationError = Errors.AuthenticationError; + static InternalServerError = Errors.InternalServerError; + static PermissionDeniedError = Errors.PermissionDeniedError; + static UnprocessableEntityError = Errors.UnprocessableEntityError; +} + +export const { + APIError, + APIConnectionError, + APIConnectionTimeoutError, + APIUserAbortError, + NotFoundError, + ConflictError, + RateLimitError, + BadRequestError, + AuthenticationError, + InternalServerError, + PermissionDeniedError, + UnprocessableEntityError, +} = Errors; + +export import toFile = Uploads.toFile; +export import fileFromPath = Uploads.fileFromPath; + +export namespace OpenAI { + // Helper functions + export import toFile = Uploads.toFile; + export import fileFromPath = Uploads.fileFromPath; + + export import Page = Pagination.Page; + export import PageResponse = Pagination.PageResponse; + + export import Completions = API.Completions; + export import Completion = API.Completion; + export import CompletionChoice = API.CompletionChoice; + export import CompletionUsage = API.CompletionUsage; + export import CompletionCreateParams = API.CompletionCreateParams; + export import CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming; + export import CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming; + + export import Chat = API.Chat; + + export import Edits = API.Edits; + export import Edit = API.Edit; + export import EditCreateParams = API.EditCreateParams; + + export import Embeddings = API.Embeddings; + export import CreateEmbeddingResponse = API.CreateEmbeddingResponse; + export import Embedding = API.Embedding; + export import EmbeddingCreateParams = API.EmbeddingCreateParams; + + export import Files = API.Files; + export import FileContent = API.FileContent; + export import FileDeleted = API.FileDeleted; + export import FileObject = API.FileObject; + export import FileObjectsPage = API.FileObjectsPage; + export import FileCreateParams = API.FileCreateParams; + + export import Images = API.Images; + export import Image = API.Image; + export import ImagesResponse = API.ImagesResponse; + export import ImageCreateVariationParams = API.ImageCreateVariationParams; + export import ImageEditParams = API.ImageEditParams; + export import ImageGenerateParams = API.ImageGenerateParams; + + export import Audio = API.Audio; + + export import Moderations = API.Moderations; + export import Moderation = API.Moderation; + export import ModerationCreateResponse = API.ModerationCreateResponse; + export import ModerationCreateParams = API.ModerationCreateParams; + + export import Models = API.Models; + export import Model = API.Model; + export import ModelDeleted = API.ModelDeleted; + export import ModelsPage = API.ModelsPage; + + export import FineTunes = API.FineTunes; + export import FineTune = API.FineTune; + export import FineTuneEvent = API.FineTuneEvent; + export import FineTuneEventsListResponse = API.FineTuneEventsListResponse; + export import FineTunesPage = API.FineTunesPage; + export import FineTuneCreateParams = API.FineTuneCreateParams; + export import FineTuneListEventsParams = API.FineTuneListEventsParams; + export import FineTuneListEventsParamsNonStreaming = API.FineTuneListEventsParamsNonStreaming; + export import FineTuneListEventsParamsStreaming = API.FineTuneListEventsParamsStreaming; +} + +export default OpenAI; diff --git a/src/pagination.ts b/src/pagination.ts new file mode 100644 index 000000000..cc6c804ca --- /dev/null +++ b/src/pagination.ts @@ -0,0 +1,42 @@ +// File generated from our OpenAPI spec by Stainless. + +import { AbstractPage, Response, APIClient, FinalRequestOptions } from './core'; + +export interface PageResponse { + data: Array; + + object: string; +} + +/** + * Note: no pagination actually occurs yet, this is for forwards-compatibility. + */ +export class Page extends AbstractPage implements PageResponse { + object: string; + + data: Array; + + constructor(client: APIClient, response: Response, body: PageResponse, options: FinalRequestOptions) { + super(client, response, body, options); + + this.object = body.object; + this.data = body.data; + } + + getPaginatedItems(): Item[] { + return this.data; + } + + // @deprecated Please use `nextPageInfo()` instead + /** + * This page represents a response that isn't actually paginated at the API level + * so there will never be any next page params. + */ + nextPageParams(): null { + return null; + } + + nextPageInfo(): null { + return null; + } +} diff --git a/src/resource.ts b/src/resource.ts new file mode 100644 index 000000000..9c58ae78b --- /dev/null +++ b/src/resource.ts @@ -0,0 +1,24 @@ +// File generated from our OpenAPI spec by Stainless. + +import type { OpenAI } from './index'; + +export class APIResource { + protected client: OpenAI; + constructor(client: OpenAI) { + this.client = client; + + this.get = client.get.bind(client); + this.post = client.post.bind(client); + this.patch = client.patch.bind(client); + this.put = client.put.bind(client); + this.delete = client.delete.bind(client); + this.getAPIList = client.getAPIList.bind(client); + } + + protected get: OpenAI['get']; + protected post: OpenAI['post']; + protected patch: OpenAI['patch']; + protected put: OpenAI['put']; + protected delete: OpenAI['delete']; + protected getAPIList: OpenAI['getAPIList']; +} diff --git a/src/resources/audio/audio.ts b/src/resources/audio/audio.ts new file mode 100644 index 000000000..5061b2000 --- /dev/null +++ b/src/resources/audio/audio.ts @@ -0,0 +1,21 @@ +// File generated from our OpenAPI spec by Stainless. + +import { APIResource } from 'openai/resource'; +import { Transcriptions } from './transcriptions'; +import { Translations } from './translations'; +import * as API from './index'; + +export class Audio extends APIResource { + transcriptions: Transcriptions = new Transcriptions(this.client); + translations: Translations = new Translations(this.client); +} + +export namespace Audio { + export import Transcriptions = API.Transcriptions; + export import Transcription = API.Transcription; + export import TranscriptionCreateParams = API.TranscriptionCreateParams; + + export import Translations = API.Translations; + export import Translation = API.Translation; + export import TranslationCreateParams = API.TranslationCreateParams; +} diff --git a/src/resources/audio/index.ts b/src/resources/audio/index.ts new file mode 100644 index 000000000..e04c978aa --- /dev/null +++ b/src/resources/audio/index.ts @@ -0,0 +1,5 @@ +// File generated from our OpenAPI spec by Stainless. + +export { Audio } from './audio'; +export { Transcription, TranscriptionCreateParams, Transcriptions } from './transcriptions'; +export { Translation, TranslationCreateParams, Translations } from './translations'; diff --git a/src/resources/audio/transcriptions.ts b/src/resources/audio/transcriptions.ts new file mode 100644 index 000000000..18b8e784b --- /dev/null +++ b/src/resources/audio/transcriptions.ts @@ -0,0 +1,66 @@ +// File generated from our OpenAPI spec by Stainless. + +import * as Core from 'openai/core'; +import { APIResource } from 'openai/resource'; +import * as API from './index'; +import { type Uploadable, multipartFormRequestOptions } from 'openai/core'; + +export class Transcriptions extends APIResource { + /** + * Transcribes audio into the input language. + */ + create(body: TranscriptionCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this.post('/audio/transcriptions', multipartFormRequestOptions({ body, ...options })); + } +} + +export interface Transcription { + text: string; +} + +export interface TranscriptionCreateParams { + /** + * The audio file object (not file name) to transcribe, in one of these formats: + * flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. + */ + file: Uploadable; + + /** + * ID of the model to use. Only `whisper-1` is currently available. + */ + model: (string & {}) | 'whisper-1'; + + /** + * The language of the input audio. Supplying the input language in + * [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will + * improve accuracy and latency. + */ + language?: string; + + /** + * An optional text to guide the model's style or continue a previous audio + * segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the + * audio language. + */ + prompt?: string; + + /** + * The format of the transcript output, in one of these options: json, text, srt, + * verbose_json, or vtt. + */ + response_format?: 'json' | 'text' | 'srt' | 'verbose_json' | 'vtt'; + + /** + * The sampling temperature, between 0 and 1. Higher values like 0.8 will make the + * output more random, while lower values like 0.2 will make it more focused and + * deterministic. If set to 0, the model will use + * [log probability](https://en.wikipedia.org/wiki/Log_probability) to + * automatically increase the temperature until certain thresholds are hit. + */ + temperature?: number; +} + +export namespace Transcriptions { + export import Transcription = API.Transcription; + export import TranscriptionCreateParams = API.TranscriptionCreateParams; +} diff --git a/src/resources/audio/translations.ts b/src/resources/audio/translations.ts new file mode 100644 index 000000000..922fec294 --- /dev/null +++ b/src/resources/audio/translations.ts @@ -0,0 +1,59 @@ +// File generated from our OpenAPI spec by Stainless. + +import * as Core from 'openai/core'; +import { APIResource } from 'openai/resource'; +import * as API from './index'; +import { type Uploadable, multipartFormRequestOptions } from 'openai/core'; + +export class Translations extends APIResource { + /** + * Translates audio into English. + */ + create(body: TranslationCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this.post('/audio/translations', multipartFormRequestOptions({ body, ...options })); + } +} + +export interface Translation { + text: string; +} + +export interface TranslationCreateParams { + /** + * The audio file object (not file name) translate, in one of these formats: flac, + * mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. + */ + file: Uploadable; + + /** + * ID of the model to use. Only `whisper-1` is currently available. + */ + model: (string & {}) | 'whisper-1'; + + /** + * An optional text to guide the model's style or continue a previous audio + * segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in + * English. + */ + prompt?: string; + + /** + * The format of the transcript output, in one of these options: json, text, srt, + * verbose_json, or vtt. + */ + response_format?: string; + + /** + * The sampling temperature, between 0 and 1. Higher values like 0.8 will make the + * output more random, while lower values like 0.2 will make it more focused and + * deterministic. If set to 0, the model will use + * [log probability](https://en.wikipedia.org/wiki/Log_probability) to + * automatically increase the temperature until certain thresholds are hit. + */ + temperature?: number; +} + +export namespace Translations { + export import Translation = API.Translation; + export import TranslationCreateParams = API.TranslationCreateParams; +} diff --git a/src/resources/chat/chat.ts b/src/resources/chat/chat.ts new file mode 100644 index 000000000..9a256b596 --- /dev/null +++ b/src/resources/chat/chat.ts @@ -0,0 +1,20 @@ +// File generated from our OpenAPI spec by Stainless. + +import { APIResource } from 'openai/resource'; +import { Completions } from './completions'; +import * as API from './index'; + +export class Chat extends APIResource { + completions: Completions = new Completions(this.client); +} + +export namespace Chat { + export import Completions = API.Completions; + export import ChatCompletion = API.ChatCompletion; + export import ChatCompletionChunk = API.ChatCompletionChunk; + export import ChatCompletionMessage = API.ChatCompletionMessage; + export import CreateChatCompletionRequestMessage = API.CreateChatCompletionRequestMessage; + export import CompletionCreateParams = API.CompletionCreateParams; + export import CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming; + export import CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming; +} diff --git a/src/resources/chat/completions.ts b/src/resources/chat/completions.ts new file mode 100644 index 000000000..a2f603f54 --- /dev/null +++ b/src/resources/chat/completions.ts @@ -0,0 +1,472 @@ +// File generated from our OpenAPI spec by Stainless. + +import * as Core from 'openai/core'; +import { APIPromise } from 'openai/core'; +import { APIResource } from 'openai/resource'; +import * as Completions_ from 'openai/resources/completions'; +import * as API from './index'; +import { Stream } from 'openai/streaming'; + +export class Completions extends APIResource { + /** + * Creates a model response for the given chat conversation. + */ + create(body: CompletionCreateParamsNonStreaming, options?: Core.RequestOptions): APIPromise; + create( + body: CompletionCreateParamsStreaming, + options?: Core.RequestOptions, + ): APIPromise>; + create( + body: CompletionCreateParams, + options?: Core.RequestOptions, + ): APIPromise | APIPromise> { + return this.post('/chat/completions', { body, ...options, stream: body.stream ?? false }) as + | APIPromise + | APIPromise>; + } +} + +/** + * Represents a chat completion response returned by model, based on the provided + * input. + */ +export interface ChatCompletion { + /** + * A unique identifier for the chat completion. + */ + id: string; + + /** + * A list of chat completion choices. Can be more than one if `n` is greater + * than 1. + */ + choices: Array; + + /** + * A unix timestamp of when the chat completion was created. + */ + created: number; + + /** + * The model used for the chat completion. + */ + model: string; + + /** + * The object type, which is always `chat.completion`. + */ + object: string; + + /** + * Usage statistics for the completion request. + */ + usage?: Completions_.CompletionUsage; +} + +export namespace ChatCompletion { + export interface Choice { + /** + * The reason the model stopped generating tokens. This will be `stop` if the model + * hit a natural stop point or a provided stop sequence, `length` if the maximum + * number of tokens specified in the request was reached, or `function_call` if the + * model called a function. + */ + finish_reason: 'stop' | 'length' | 'function_call'; + + /** + * The index of the choice in the list of choices. + */ + index: number; + + /** + * A chat completion message generated by the model. + */ + message: ChatCompletionMessage; + } +} + +/** + * Represents a streamed chunk of a chat completion response returned by model, + * based on the provided input. + */ +export interface ChatCompletionChunk { + /** + * A unique identifier for the chat completion chunk. + */ + id: string; + + /** + * A list of chat completion choices. Can be more than one if `n` is greater + * than 1. + */ + choices: Array; + + /** + * A unix timestamp of when the chat completion chunk was created. + */ + created: number; + + /** + * The model to generate the completion. + */ + model: string; + + /** + * The object type, which is always `chat.completion.chunk`. + */ + object: string; +} + +export namespace ChatCompletionChunk { + export interface Choice { + /** + * A chat completion delta generated by streamed model responses. + */ + delta: Choice.Delta; + + /** + * The reason the model stopped generating tokens. This will be `stop` if the model + * hit a natural stop point or a provided stop sequence, `length` if the maximum + * number of tokens specified in the request was reached, or `function_call` if the + * model called a function. + */ + finish_reason: 'stop' | 'length' | 'function_call' | null; + + /** + * The index of the choice in the list of choices. + */ + index: number; + } + + export namespace Choice { + /** + * A chat completion delta generated by streamed model responses. + */ + export interface Delta { + /** + * The contents of the chunk message. + */ + content?: string | null; + + /** + * The name and arguments of a function that should be called, as generated by the + * model. + */ + function_call?: Delta.FunctionCall; + + /** + * The role of the author of this message. + */ + role?: 'system' | 'user' | 'assistant' | 'function'; + } + + export namespace Delta { + /** + * The name and arguments of a function that should be called, as generated by the + * model. + */ + export interface FunctionCall { + /** + * The arguments to call the function with, as generated by the model in JSON + * format. Note that the model does not always generate valid JSON, and may + * hallucinate parameters not defined by your function schema. Validate the + * arguments in your code before calling your function. + */ + arguments?: string; + + /** + * The name of the function to call. + */ + name?: string; + } + } + } +} + +/** + * A chat completion message generated by the model. + */ +export interface ChatCompletionMessage { + /** + * The contents of the message. + */ + content: string | null; + + /** + * The role of the author of this message. + */ + role: 'system' | 'user' | 'assistant' | 'function'; + + /** + * The name and arguments of a function that should be called, as generated by the + * model. + */ + function_call?: ChatCompletionMessage.FunctionCall; +} + +export namespace ChatCompletionMessage { + /** + * The name and arguments of a function that should be called, as generated by the + * model. + */ + export interface FunctionCall { + /** + * The arguments to call the function with, as generated by the model in JSON + * format. Note that the model does not always generate valid JSON, and may + * hallucinate parameters not defined by your function schema. Validate the + * arguments in your code before calling your function. + */ + arguments: string; + + /** + * The name of the function to call. + */ + name: string; + } +} + +export interface CreateChatCompletionRequestMessage { + /** + * The contents of the message. `content` is required for all messages, and may be + * null for assistant messages with function calls. + */ + content: string | null; + + /** + * The role of the messages author. One of `system`, `user`, `assistant`, or + * `function`. + */ + role: 'system' | 'user' | 'assistant' | 'function'; + + /** + * The name and arguments of a function that should be called, as generated by the + * model. + */ + function_call?: CreateChatCompletionRequestMessage.FunctionCall; + + /** + * The name of the author of this message. `name` is required if role is + * `function`, and it should be the name of the function whose response is in the + * `content`. May contain a-z, A-Z, 0-9, and underscores, with a maximum length of + * 64 characters. + */ + name?: string; +} + +export namespace CreateChatCompletionRequestMessage { + /** + * The name and arguments of a function that should be called, as generated by the + * model. + */ + export interface FunctionCall { + /** + * The arguments to call the function with, as generated by the model in JSON + * format. Note that the model does not always generate valid JSON, and may + * hallucinate parameters not defined by your function schema. Validate the + * arguments in your code before calling your function. + */ + arguments: string; + + /** + * The name of the function to call. + */ + name: string; + } +} + +export interface CompletionCreateParams { + /** + * A list of messages comprising the conversation so far. + * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb). + */ + messages: Array; + + /** + * ID of the model to use. See the + * [model endpoint compatibility](/docs/models/model-endpoint-compatibility) table + * for details on which models work with the Chat API. + */ + model: + | (string & {}) + | 'gpt-4' + | 'gpt-4-0314' + | 'gpt-4-0613' + | 'gpt-4-32k' + | 'gpt-4-32k-0314' + | 'gpt-4-32k-0613' + | 'gpt-3.5-turbo' + | 'gpt-3.5-turbo-16k' + | 'gpt-3.5-turbo-0301' + | 'gpt-3.5-turbo-0613' + | 'gpt-3.5-turbo-16k-0613'; + + /** + * Number between -2.0 and 2.0. Positive values penalize new tokens based on their + * existing frequency in the text so far, decreasing the model's likelihood to + * repeat the same line verbatim. + * + * [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) + */ + frequency_penalty?: number | null; + + /** + * Controls how the model responds to function calls. "none" means the model does + * not call a function, and responds to the end-user. "auto" means the model can + * pick between an end-user or calling a function. Specifying a particular function + * via `{"name":\ "my_function"}` forces the model to call that function. "none" is + * the default when no functions are present. "auto" is the default if functions + * are present. + */ + function_call?: 'none' | 'auto' | CompletionCreateParams.FunctionCallOption; + + /** + * A list of functions the model may generate JSON inputs for. + */ + functions?: Array; + + /** + * Modify the likelihood of specified tokens appearing in the completion. + * + * Accepts a json object that maps tokens (specified by their token ID in the + * tokenizer) to an associated bias value from -100 to 100. Mathematically, the + * bias is added to the logits generated by the model prior to sampling. The exact + * effect will vary per model, but values between -1 and 1 should decrease or + * increase likelihood of selection; values like -100 or 100 should result in a ban + * or exclusive selection of the relevant token. + */ + logit_bias?: Record | null; + + /** + * The maximum number of [tokens](/tokenizer) to generate in the chat completion. + * + * The total length of input tokens and generated tokens is limited by the model's + * context length. + * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) + * for counting tokens. + */ + max_tokens?: number; + + /** + * How many chat completion choices to generate for each input message. + */ + n?: number | null; + + /** + * Number between -2.0 and 2.0. Positive values penalize new tokens based on + * whether they appear in the text so far, increasing the model's likelihood to + * talk about new topics. + * + * [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) + */ + presence_penalty?: number | null; + + /** + * Up to 4 sequences where the API will stop generating further tokens. + */ + stop?: string | null | Array; + + /** + * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be + * sent as data-only + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + * as they become available, with the stream terminated by a `data: [DONE]` + * message. + * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb). + */ + stream?: boolean | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + * + * We generally recommend altering this or `top_p` but not both. + */ + temperature?: number | null; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or `temperature` but not both. + */ + top_p?: number | null; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). + */ + user?: string; +} + +export namespace CompletionCreateParams { + export interface FunctionCallOption { + /** + * The name of the function to call. + */ + name: string; + } + + export interface Function { + /** + * The name of the function to be called. Must be a-z, A-Z, 0-9, or contain + * underscores and dashes, with a maximum length of 64. + */ + name: string; + + /** + * The parameters the functions accepts, described as a JSON Schema object. See the + * [guide](/docs/guides/gpt/function-calling) for examples, and the + * [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for + * documentation about the format. + * + * To describe a function that accepts no parameters, provide the value + * `{"type": "object", "properties": {}}`. + */ + parameters: Record; + + /** + * A description of what the function does, used by the model to choose when and + * how to call the function. + */ + description?: string; + } + + export type CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming; + export type CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming; +} + +export interface CompletionCreateParamsNonStreaming extends CompletionCreateParams { + /** + * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be + * sent as data-only + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + * as they become available, with the stream terminated by a `data: [DONE]` + * message. + * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb). + */ + stream?: false | null; +} + +export interface CompletionCreateParamsStreaming extends CompletionCreateParams { + /** + * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be + * sent as data-only + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + * as they become available, with the stream terminated by a `data: [DONE]` + * message. + * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb). + */ + stream: true; +} + +export namespace Completions { + export import ChatCompletion = API.ChatCompletion; + export import ChatCompletionChunk = API.ChatCompletionChunk; + export import ChatCompletionMessage = API.ChatCompletionMessage; + export import CreateChatCompletionRequestMessage = API.CreateChatCompletionRequestMessage; + export import CompletionCreateParams = API.CompletionCreateParams; + export import CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming; + export import CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming; +} diff --git a/src/resources/chat/index.ts b/src/resources/chat/index.ts new file mode 100644 index 000000000..f9232bffe --- /dev/null +++ b/src/resources/chat/index.ts @@ -0,0 +1,13 @@ +// File generated from our OpenAPI spec by Stainless. + +export { Chat } from './chat'; +export { + ChatCompletion, + ChatCompletionChunk, + ChatCompletionMessage, + CreateChatCompletionRequestMessage, + CompletionCreateParams, + CompletionCreateParamsNonStreaming, + CompletionCreateParamsStreaming, + Completions, +} from './completions'; diff --git a/src/resources/completions.ts b/src/resources/completions.ts new file mode 100644 index 000000000..8c21b6898 --- /dev/null +++ b/src/resources/completions.ts @@ -0,0 +1,302 @@ +// File generated from our OpenAPI spec by Stainless. + +import * as Core from 'openai/core'; +import { APIPromise } from 'openai/core'; +import { APIResource } from 'openai/resource'; +import * as API from './index'; +import { Stream } from 'openai/streaming'; + +export class Completions extends APIResource { + /** + * Creates a completion for the provided prompt and parameters. + */ + create(body: CompletionCreateParamsNonStreaming, options?: Core.RequestOptions): APIPromise; + create( + body: CompletionCreateParamsStreaming, + options?: Core.RequestOptions, + ): APIPromise>; + create( + body: CompletionCreateParams, + options?: Core.RequestOptions, + ): APIPromise | APIPromise> { + return this.post('/completions', { body, ...options, stream: body.stream ?? false }) as + | APIPromise + | APIPromise>; + } +} + +/** + * Represents a completion response from the API. Note: both the streamed and + * non-streamed response objects share the same shape (unlike the chat endpoint). + */ +export interface Completion { + /** + * A unique identifier for the completion. + */ + id: string; + + /** + * The list of completion choices the model generated for the input prompt. + */ + choices: Array; + + /** + * The Unix timestamp of when the completion was created. + */ + created: number; + + /** + * The model used for completion. + */ + model: string; + + /** + * The object type, which is always "text_completion" + */ + object: string; + + /** + * Usage statistics for the completion request. + */ + usage?: CompletionUsage; +} + +export interface CompletionChoice { + /** + * The reason the model stopped generating tokens. This will be `stop` if the model + * hit a natural stop point or a provided stop sequence, or `length` if the maximum + * number of tokens specified in the request was reached. + */ + finish_reason: 'stop' | 'length'; + + index: number; + + logprobs: CompletionChoice.Logprobs | null; + + text: string; +} + +export namespace CompletionChoice { + export interface Logprobs { + text_offset?: Array; + + token_logprobs?: Array; + + tokens?: Array; + + top_logprobs?: Array>; + } +} + +/** + * Usage statistics for the completion request. + */ +export interface CompletionUsage { + /** + * Number of tokens in the generated completion. + */ + completion_tokens: number; + + /** + * Number of tokens in the prompt. + */ + prompt_tokens: number; + + /** + * Total number of tokens used in the request (prompt + completion). + */ + total_tokens: number; +} + +export interface CompletionCreateParams { + /** + * ID of the model to use. You can use the + * [List models](/docs/api-reference/models/list) API to see all of your available + * models, or see our [Model overview](/docs/models/overview) for descriptions of + * them. + */ + model: + | (string & {}) + | 'text-davinci-003' + | 'text-davinci-002' + | 'text-davinci-001' + | 'code-davinci-002' + | 'text-curie-001' + | 'text-babbage-001' + | 'text-ada-001'; + + /** + * The prompt(s) to generate completions for, encoded as a string, array of + * strings, array of tokens, or array of token arrays. + * + * Note that <|endoftext|> is the document separator that the model sees during + * training, so if a prompt is not specified the model will generate as if from the + * beginning of a new document. + */ + prompt: string | Array | Array | Array> | null; + + /** + * Generates `best_of` completions server-side and returns the "best" (the one with + * the highest log probability per token). Results cannot be streamed. + * + * When used with `n`, `best_of` controls the number of candidate completions and + * `n` specifies how many to return – `best_of` must be greater than `n`. + * + * **Note:** Because this parameter generates many completions, it can quickly + * consume your token quota. Use carefully and ensure that you have reasonable + * settings for `max_tokens` and `stop`. + */ + best_of?: number | null; + + /** + * Echo back the prompt in addition to the completion + */ + echo?: boolean | null; + + /** + * Number between -2.0 and 2.0. Positive values penalize new tokens based on their + * existing frequency in the text so far, decreasing the model's likelihood to + * repeat the same line verbatim. + * + * [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) + */ + frequency_penalty?: number | null; + + /** + * Modify the likelihood of specified tokens appearing in the completion. + * + * Accepts a json object that maps tokens (specified by their token ID in the GPT + * tokenizer) to an associated bias value from -100 to 100. You can use this + * [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to + * convert text to token IDs. Mathematically, the bias is added to the logits + * generated by the model prior to sampling. The exact effect will vary per model, + * but values between -1 and 1 should decrease or increase likelihood of selection; + * values like -100 or 100 should result in a ban or exclusive selection of the + * relevant token. + * + * As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token + * from being generated. + */ + logit_bias?: Record | null; + + /** + * Include the log probabilities on the `logprobs` most likely tokens, as well the + * chosen tokens. For example, if `logprobs` is 5, the API will return a list of + * the 5 most likely tokens. The API will always return the `logprob` of the + * sampled token, so there may be up to `logprobs+1` elements in the response. + * + * The maximum value for `logprobs` is 5. + */ + logprobs?: number | null; + + /** + * The maximum number of [tokens](/tokenizer) to generate in the completion. + * + * The token count of your prompt plus `max_tokens` cannot exceed the model's + * context length. + * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) + * for counting tokens. + */ + max_tokens?: number | null; + + /** + * How many completions to generate for each prompt. + * + * **Note:** Because this parameter generates many completions, it can quickly + * consume your token quota. Use carefully and ensure that you have reasonable + * settings for `max_tokens` and `stop`. + */ + n?: number | null; + + /** + * Number between -2.0 and 2.0. Positive values penalize new tokens based on + * whether they appear in the text so far, increasing the model's likelihood to + * talk about new topics. + * + * [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) + */ + presence_penalty?: number | null; + + /** + * Up to 4 sequences where the API will stop generating further tokens. The + * returned text will not contain the stop sequence. + */ + stop?: string | null | Array; + + /** + * Whether to stream back partial progress. If set, tokens will be sent as + * data-only + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + * as they become available, with the stream terminated by a `data: [DONE]` + * message. + * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb). + */ + stream?: boolean | null; + + /** + * The suffix that comes after a completion of inserted text. + */ + suffix?: string | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + * + * We generally recommend altering this or `top_p` but not both. + */ + temperature?: number | null; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or `temperature` but not both. + */ + top_p?: number | null; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). + */ + user?: string; +} + +export namespace CompletionCreateParams { + export type CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming; + export type CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming; +} + +export interface CompletionCreateParamsNonStreaming extends CompletionCreateParams { + /** + * Whether to stream back partial progress. If set, tokens will be sent as + * data-only + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + * as they become available, with the stream terminated by a `data: [DONE]` + * message. + * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb). + */ + stream?: false | null; +} + +export interface CompletionCreateParamsStreaming extends CompletionCreateParams { + /** + * Whether to stream back partial progress. If set, tokens will be sent as + * data-only + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + * as they become available, with the stream terminated by a `data: [DONE]` + * message. + * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb). + */ + stream: true; +} + +export namespace Completions { + export import Completion = API.Completion; + export import CompletionChoice = API.CompletionChoice; + export import CompletionUsage = API.CompletionUsage; + export import CompletionCreateParams = API.CompletionCreateParams; + export import CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming; + export import CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming; +} diff --git a/src/resources/edits.ts b/src/resources/edits.ts new file mode 100644 index 000000000..55623ac91 --- /dev/null +++ b/src/resources/edits.ts @@ -0,0 +1,108 @@ +// File generated from our OpenAPI spec by Stainless. + +import * as Core from 'openai/core'; +import { APIResource } from 'openai/resource'; +import * as Completions from 'openai/resources/completions'; +import * as API from './index'; + +export class Edits extends APIResource { + /** + * Creates a new edit for the provided input, instruction, and parameters. + * + * @deprecated The Edits API is deprecated; please use Chat Completions instead. + * + * https://openai.com/blog/gpt-4-api-general-availability#deprecation-of-the-edits-api + */ + create(body: EditCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this.post('/edits', { body, ...options }); + } +} + +export interface Edit { + /** + * A list of edit choices. Can be more than one if `n` is greater than 1. + */ + choices: Array; + + /** + * A unix timestamp of when the edit was created. + */ + created: number; + + /** + * The object type, which is always `edit`. + */ + object: string; + + /** + * Usage statistics for the completion request. + */ + usage: Completions.CompletionUsage; +} + +export namespace Edit { + export interface Choice { + /** + * The reason the model stopped generating tokens. This will be `stop` if the model + * hit a natural stop point or a provided stop sequence, or `length` if the maximum + * number of tokens specified in the request was reached. + */ + finish_reason: 'stop' | 'length'; + + /** + * The index of the choice in the list of choices. + */ + index: number; + + /** + * The edited result. + */ + text: string; + } +} + +export interface EditCreateParams { + /** + * The instruction that tells the model how to edit the prompt. + */ + instruction: string; + + /** + * ID of the model to use. You can use the `text-davinci-edit-001` or + * `code-davinci-edit-001` model with this endpoint. + */ + model: (string & {}) | 'text-davinci-edit-001' | 'code-davinci-edit-001'; + + /** + * The input text to use as a starting point for the edit. + */ + input?: string | null; + + /** + * How many edits to generate for the input and instruction. + */ + n?: number | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + * + * We generally recommend altering this or `top_p` but not both. + */ + temperature?: number | null; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or `temperature` but not both. + */ + top_p?: number | null; +} + +export namespace Edits { + export import Edit = API.Edit; + export import EditCreateParams = API.EditCreateParams; +} diff --git a/src/resources/embeddings.ts b/src/resources/embeddings.ts new file mode 100644 index 000000000..8709deb9f --- /dev/null +++ b/src/resources/embeddings.ts @@ -0,0 +1,109 @@ +// File generated from our OpenAPI spec by Stainless. + +import * as Core from 'openai/core'; +import { APIResource } from 'openai/resource'; +import * as API from './index'; + +export class Embeddings extends APIResource { + /** + * Creates an embedding vector representing the input text. + */ + create( + body: EmbeddingCreateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this.post('/embeddings', { body, ...options }); + } +} + +export interface CreateEmbeddingResponse { + /** + * The list of embeddings generated by the model. + */ + data: Array; + + /** + * The name of the model used to generate the embedding. + */ + model: string; + + /** + * The object type, which is always "embedding". + */ + object: string; + + /** + * The usage information for the request. + */ + usage: CreateEmbeddingResponse.Usage; +} + +export namespace CreateEmbeddingResponse { + /** + * The usage information for the request. + */ + export interface Usage { + /** + * The number of tokens used by the prompt. + */ + prompt_tokens: number; + + /** + * The total number of tokens used by the request. + */ + total_tokens: number; + } +} + +/** + * Represents an embedding vector returned by embedding endpoint. + */ +export interface Embedding { + /** + * The embedding vector, which is a list of floats. The length of vector depends on + * the model as listed in the [embedding guide](/docs/guides/embeddings). + */ + embedding: Array; + + /** + * The index of the embedding in the list of embeddings. + */ + index: number; + + /** + * The object type, which is always "embedding". + */ + object: string; +} + +export interface EmbeddingCreateParams { + /** + * Input text to embed, encoded as a string or array of tokens. To embed multiple + * inputs in a single request, pass an array of strings or array of token arrays. + * Each input must not exceed the max input tokens for the model (8191 tokens for + * `text-embedding-ada-002`). + * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) + * for counting tokens. + */ + input: string | Array | Array | Array>; + + /** + * ID of the model to use. You can use the + * [List models](/docs/api-reference/models/list) API to see all of your available + * models, or see our [Model overview](/docs/models/overview) for descriptions of + * them. + */ + model: (string & {}) | 'text-embedding-ada-002'; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). + */ + user?: string; +} + +export namespace Embeddings { + export import CreateEmbeddingResponse = API.CreateEmbeddingResponse; + export import Embedding = API.Embedding; + export import EmbeddingCreateParams = API.EmbeddingCreateParams; +} diff --git a/src/resources/files.ts b/src/resources/files.ts new file mode 100644 index 000000000..0c6584f59 --- /dev/null +++ b/src/resources/files.ts @@ -0,0 +1,142 @@ +// File generated from our OpenAPI spec by Stainless. + +import * as Core from 'openai/core'; +import { APIResource } from 'openai/resource'; +import * as API from './index'; +import { type Uploadable, multipartFormRequestOptions } from 'openai/core'; +import { Page } from 'openai/pagination'; + +export class Files extends APIResource { + /** + * Upload a file that contains document(s) to be used across various + * endpoints/features. Currently, the size of all the files uploaded by one + * organization can be up to 1 GB. Please contact us if you need to increase the + * storage limit. + */ + create(body: FileCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this.post('/files', multipartFormRequestOptions({ body, ...options })); + } + + /** + * Returns information about a specific file. + */ + retrieve(fileId: string, options?: Core.RequestOptions): Core.APIPromise { + return this.get(`/files/${fileId}`, options); + } + + /** + * Returns a list of files that belong to the user's organization. + */ + list(options?: Core.RequestOptions): Core.PagePromise { + return this.getAPIList('/files', FileObjectsPage, options); + } + + /** + * Delete a file. + */ + del(fileId: string, options?: Core.RequestOptions): Core.APIPromise { + return this.delete(`/files/${fileId}`, options); + } + + /** + * Returns the contents of the specified file + */ + retrieveContent(fileId: string, options?: Core.RequestOptions): Core.APIPromise { + return this.get(`/files/${fileId}/content`, { + ...options, + headers: { Accept: 'application/json', ...options?.headers }, + }); + } +} + +/** + * Note: no pagination actually occurs yet, this is for forwards-compatibility. + */ +export class FileObjectsPage extends Page {} +// alias so we can export it in the namespace +type _FileObjectsPage = FileObjectsPage; + +export type FileContent = string; + +export interface FileDeleted { + id: string; + + deleted: boolean; + + object: string; +} + +/** + * The `File` object represents a document that has been uploaded to OpenAI. + */ +export interface FileObject { + /** + * The file identifier, which can be referenced in the API endpoints. + */ + id: string; + + /** + * The size of the file in bytes. + */ + bytes: number; + + /** + * The unix timestamp for when the file was created. + */ + created_at: number; + + /** + * The name of the file. + */ + filename: string; + + /** + * The object type, which is always "file". + */ + object: string; + + /** + * The intended purpose of the file. Currently, only "fine-tune" is supported. + */ + purpose: string; + + /** + * The current status of the file, which can be either `uploaded`, `processed`, + * `pending`, `error`, `deleting` or `deleted`. + */ + status?: string; + + /** + * Additional details about the status of the file. If the file is in the `error` + * state, this will include a message describing the error. + */ + status_details?: string | null; +} + +export interface FileCreateParams { + /** + * Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be + * uploaded. + * + * If the `purpose` is set to "fine-tune", each line is a JSON record with "prompt" + * and "completion" fields representing your + * [training examples](/docs/guides/fine-tuning/prepare-training-data). + */ + file: Uploadable; + + /** + * The intended purpose of the uploaded documents. + * + * Use "fine-tune" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows + * us to validate the format of the uploaded file. + */ + purpose: string; +} + +export namespace Files { + export import FileContent = API.FileContent; + export import FileDeleted = API.FileDeleted; + export import FileObject = API.FileObject; + export type FileObjectsPage = _FileObjectsPage; + export import FileCreateParams = API.FileCreateParams; +} diff --git a/src/resources/fine-tunes.ts b/src/resources/fine-tunes.ts new file mode 100644 index 000000000..fd42894d9 --- /dev/null +++ b/src/resources/fine-tunes.ts @@ -0,0 +1,396 @@ +// File generated from our OpenAPI spec by Stainless. + +import * as Core from 'openai/core'; +import { APIPromise } from 'openai/core'; +import { APIResource } from 'openai/resource'; +import * as Files from 'openai/resources/files'; +import * as API from './index'; +import { Page } from 'openai/pagination'; +import { Stream } from 'openai/streaming'; + +export class FineTunes extends APIResource { + /** + * Creates a job that fine-tunes a specified model from a given dataset. + * + * Response includes details of the enqueued job including job status and the name + * of the fine-tuned models once complete. + * + * [Learn more about Fine-tuning](/docs/guides/fine-tuning) + */ + create(body: FineTuneCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this.post('/fine-tunes', { body, ...options }); + } + + /** + * Gets info about the fine-tune job. + * + * [Learn more about Fine-tuning](/docs/guides/fine-tuning) + */ + retrieve(fineTuneId: string, options?: Core.RequestOptions): Core.APIPromise { + return this.get(`/fine-tunes/${fineTuneId}`, options); + } + + /** + * List your organization's fine-tuning jobs + */ + list(options?: Core.RequestOptions): Core.PagePromise { + return this.getAPIList('/fine-tunes', FineTunesPage, options); + } + + /** + * Immediately cancel a fine-tune job. + */ + cancel(fineTuneId: string, options?: Core.RequestOptions): Core.APIPromise { + return this.post(`/fine-tunes/${fineTuneId}/cancel`, options); + } + + /** + * Get fine-grained status updates for a fine-tune job. + */ + listEvents( + fineTuneId: string, + query?: FineTuneListEventsParamsNonStreaming, + options?: Core.RequestOptions, + ): APIPromise; + listEvents( + fineTuneId: string, + query: FineTuneListEventsParamsStreaming, + options?: Core.RequestOptions, + ): APIPromise>; + listEvents( + fineTuneId: string, + query?: FineTuneListEventsParams | undefined, + options?: Core.RequestOptions, + ): APIPromise | APIPromise> { + return this.get(`/fine-tunes/${fineTuneId}/events`, { + query, + timeout: 86400000, + ...options, + stream: query?.stream ?? false, + }) as APIPromise | APIPromise>; + } +} + +/** + * Note: no pagination actually occurs yet, this is for forwards-compatibility. + */ +export class FineTunesPage extends Page {} +// alias so we can export it in the namespace +type _FineTunesPage = FineTunesPage; + +/** + * The `FineTune` object represents a fine-tuning job that has been created through + * the API. + */ +export interface FineTune { + /** + * The object identifier, which can be referenced in the API endpoints. + */ + id: string; + + /** + * The unix timestamp for when the fine-tuning job was created. + */ + created_at: number; + + /** + * The name of the fine-tuned model that is being created. + */ + fine_tuned_model: string | null; + + /** + * The hyperparameters used for the fine-tuning job. See the + * [Fine-tuning Guide](/docs/guides/fine-tuning/hyperparameters) for more details. + */ + hyperparams: FineTune.Hyperparams; + + /** + * The base model that is being fine-tuned. + */ + model: string; + + /** + * The object type, which is always "fine-tune". + */ + object: string; + + /** + * The organization that owns the fine-tuning job. + */ + organization_id: string; + + /** + * The compiled results files for the fine-tuning job. + */ + result_files: Array; + + /** + * The current status of the fine-tuning job, which can be either `created`, + * `pending`, `running`, `succeeded`, `failed`, or `cancelled`. + */ + status: string; + + /** + * The list of files used for training. + */ + training_files: Array; + + /** + * The unix timestamp for when the fine-tuning job was last updated. + */ + updated_at: number; + + /** + * The list of files used for validation. + */ + validation_files: Array; + + /** + * The list of events that have been observed in the lifecycle of the FineTune job. + */ + events?: Array; +} + +export namespace FineTune { + /** + * The hyperparameters used for the fine-tuning job. See the + * [Fine-tuning Guide](/docs/guides/fine-tuning/hyperparameters) for more details. + */ + export interface Hyperparams { + /** + * The batch size to use for training. The batch size is the number of training + * examples used to train a single forward and backward pass. + */ + batch_size: number; + + /** + * The learning rate multiplier to use for training. + */ + learning_rate_multiplier: number; + + /** + * The number of epochs to train the model for. An epoch refers to one full cycle + * through the training dataset. + */ + n_epochs: number; + + /** + * The weight to use for loss on the prompt tokens. + */ + prompt_loss_weight: number; + + /** + * The number of classes to use for computing classification metrics. + */ + classification_n_classes?: number; + + /** + * The positive class to use for computing classification metrics. + */ + classification_positive_class?: string; + + /** + * The classification metrics to compute using the validation dataset at the end of + * every epoch. + */ + compute_classification_metrics?: boolean; + } +} + +export interface FineTuneEvent { + created_at: number; + + level: string; + + message: string; + + object: string; +} + +export interface FineTuneEventsListResponse { + data: Array; + + object: string; +} + +export interface FineTuneCreateParams { + /** + * The ID of an uploaded file that contains training data. + * + * See [upload file](/docs/api-reference/files/upload) for how to upload a file. + * + * Your dataset must be formatted as a JSONL file, where each training example is a + * JSON object with the keys "prompt" and "completion". Additionally, you must + * upload your file with the purpose `fine-tune`. + * + * See the [fine-tuning guide](/docs/guides/fine-tuning/creating-training-data) for + * more details. + */ + training_file: string; + + /** + * The batch size to use for training. The batch size is the number of training + * examples used to train a single forward and backward pass. + * + * By default, the batch size will be dynamically configured to be ~0.2% of the + * number of examples in the training set, capped at 256 - in general, we've found + * that larger batch sizes tend to work better for larger datasets. + */ + batch_size?: number | null; + + /** + * If this is provided, we calculate F-beta scores at the specified beta values. + * The F-beta score is a generalization of F-1 score. This is only used for binary + * classification. + * + * With a beta of 1 (i.e. the F-1 score), precision and recall are given the same + * weight. A larger beta score puts more weight on recall and less on precision. A + * smaller beta score puts more weight on precision and less on recall. + */ + classification_betas?: Array | null; + + /** + * The number of classes in a classification task. + * + * This parameter is required for multiclass classification. + */ + classification_n_classes?: number | null; + + /** + * The positive class in binary classification. + * + * This parameter is needed to generate precision, recall, and F1 metrics when + * doing binary classification. + */ + classification_positive_class?: string | null; + + /** + * If set, we calculate classification-specific metrics such as accuracy and F-1 + * score using the validation set at the end of every epoch. These metrics can be + * viewed in the + * [results file](/docs/guides/fine-tuning/analyzing-your-fine-tuned-model). + * + * In order to compute classification metrics, you must provide a + * `validation_file`. Additionally, you must specify `classification_n_classes` for + * multiclass classification or `classification_positive_class` for binary + * classification. + */ + compute_classification_metrics?: boolean | null; + + /** + * The learning rate multiplier to use for training. The fine-tuning learning rate + * is the original learning rate used for pretraining multiplied by this value. + * + * By default, the learning rate multiplier is the 0.05, 0.1, or 0.2 depending on + * final `batch_size` (larger learning rates tend to perform better with larger + * batch sizes). We recommend experimenting with values in the range 0.02 to 0.2 to + * see what produces the best results. + */ + learning_rate_multiplier?: number | null; + + /** + * The name of the base model to fine-tune. You can select one of "ada", "babbage", + * "curie", "davinci", or a fine-tuned model created after 2022-04-21. To learn + * more about these models, see the + * [Models](https://platform.openai.com/docs/models) documentation. + */ + model?: (string & {}) | 'ada' | 'babbage' | 'curie' | 'davinci' | null; + + /** + * The number of epochs to train the model for. An epoch refers to one full cycle + * through the training dataset. + */ + n_epochs?: number | null; + + /** + * The weight to use for loss on the prompt tokens. This controls how much the + * model tries to learn to generate the prompt (as compared to the completion which + * always has a weight of 1.0), and can add a stabilizing effect to training when + * completions are short. + * + * If prompts are extremely long (relative to completions), it may make sense to + * reduce this weight so as to avoid over-prioritizing learning the prompt. + */ + prompt_loss_weight?: number | null; + + /** + * A string of up to 40 characters that will be added to your fine-tuned model + * name. + * + * For example, a `suffix` of "custom-model-name" would produce a model name like + * `ada:ft-your-org:custom-model-name-2022-02-15-04-21-04`. + */ + suffix?: string | null; + + /** + * The ID of an uploaded file that contains validation data. + * + * If you provide this file, the data is used to generate validation metrics + * periodically during fine-tuning. These metrics can be viewed in the + * [fine-tuning results file](/docs/guides/fine-tuning/analyzing-your-fine-tuned-model). + * Your train and validation data should be mutually exclusive. + * + * Your dataset must be formatted as a JSONL file, where each validation example is + * a JSON object with the keys "prompt" and "completion". Additionally, you must + * upload your file with the purpose `fine-tune`. + * + * See the [fine-tuning guide](/docs/guides/fine-tuning/creating-training-data) for + * more details. + */ + validation_file?: string | null; +} + +export interface FineTuneListEventsParams { + /** + * Whether to stream events for the fine-tune job. If set to true, events will be + * sent as data-only + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + * as they become available. The stream will terminate with a `data: [DONE]` + * message when the job is finished (succeeded, cancelled, or failed). + * + * If set to false, only events generated so far will be returned. + */ + stream?: boolean; +} + +export namespace FineTuneListEventsParams { + export type FineTuneListEventsParamsNonStreaming = API.FineTuneListEventsParamsNonStreaming; + export type FineTuneListEventsParamsStreaming = API.FineTuneListEventsParamsStreaming; +} + +export interface FineTuneListEventsParamsNonStreaming extends FineTuneListEventsParams { + /** + * Whether to stream events for the fine-tune job. If set to true, events will be + * sent as data-only + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + * as they become available. The stream will terminate with a `data: [DONE]` + * message when the job is finished (succeeded, cancelled, or failed). + * + * If set to false, only events generated so far will be returned. + */ + stream?: false; +} + +export interface FineTuneListEventsParamsStreaming extends FineTuneListEventsParams { + /** + * Whether to stream events for the fine-tune job. If set to true, events will be + * sent as data-only + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + * as they become available. The stream will terminate with a `data: [DONE]` + * message when the job is finished (succeeded, cancelled, or failed). + * + * If set to false, only events generated so far will be returned. + */ + stream: true; +} + +export namespace FineTunes { + export import FineTune = API.FineTune; + export import FineTuneEvent = API.FineTuneEvent; + export import FineTuneEventsListResponse = API.FineTuneEventsListResponse; + export type FineTunesPage = _FineTunesPage; + export import FineTuneCreateParams = API.FineTuneCreateParams; + export import FineTuneListEventsParams = API.FineTuneListEventsParams; + export import FineTuneListEventsParamsNonStreaming = API.FineTuneListEventsParamsNonStreaming; + export import FineTuneListEventsParamsStreaming = API.FineTuneListEventsParamsStreaming; +} diff --git a/src/resources/images.ts b/src/resources/images.ts new file mode 100644 index 000000000..81eb78674 --- /dev/null +++ b/src/resources/images.ts @@ -0,0 +1,168 @@ +// File generated from our OpenAPI spec by Stainless. + +import * as Core from 'openai/core'; +import { APIResource } from 'openai/resource'; +import * as API from './index'; +import { type Uploadable, multipartFormRequestOptions } from 'openai/core'; + +export class Images extends APIResource { + /** + * Creates a variation of a given image. + */ + createVariation( + body: ImageCreateVariationParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this.post('/images/variations', multipartFormRequestOptions({ body, ...options })); + } + + /** + * Creates an edited or extended image given an original image and a prompt. + */ + edit(body: ImageEditParams, options?: Core.RequestOptions): Core.APIPromise { + return this.post('/images/edits', multipartFormRequestOptions({ body, ...options })); + } + + /** + * Creates an image given a prompt. + */ + generate(body: ImageGenerateParams, options?: Core.RequestOptions): Core.APIPromise { + return this.post('/images/generations', { body, ...options }); + } +} + +/** + * Represents the url or the content of an image generated by the OpenAI API. + */ +export interface Image { + /** + * The base64-encoded JSON of the generated image, if `response_format` is + * `b64_json`. + */ + b64_json?: string; + + /** + * The URL of the generated image, if `response_format` is `url` (default). + */ + url?: string; +} + +export interface ImagesResponse { + created: number; + + data: Array; +} + +export interface ImageCreateVariationParams { + /** + * The image to use as the basis for the variation(s). Must be a valid PNG file, + * less than 4MB, and square. + */ + image: Uploadable; + + /** + * The number of images to generate. Must be between 1 and 10. + */ + n?: number | null; + + /** + * The format in which the generated images are returned. Must be one of `url` or + * `b64_json`. + */ + response_format?: 'url' | 'b64_json' | null; + + /** + * The size of the generated images. Must be one of `256x256`, `512x512`, or + * `1024x1024`. + */ + size?: '256x256' | '512x512' | '1024x1024' | null; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). + */ + user?: string; +} + +export interface ImageEditParams { + /** + * The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask + * is not provided, image must have transparency, which will be used as the mask. + */ + image: Uploadable; + + /** + * A text description of the desired image(s). The maximum length is 1000 + * characters. + */ + prompt: string; + + /** + * An additional image whose fully transparent areas (e.g. where alpha is zero) + * indicate where `image` should be edited. Must be a valid PNG file, less than + * 4MB, and have the same dimensions as `image`. + */ + mask?: Uploadable; + + /** + * The number of images to generate. Must be between 1 and 10. + */ + n?: number | null; + + /** + * The format in which the generated images are returned. Must be one of `url` or + * `b64_json`. + */ + response_format?: 'url' | 'b64_json' | null; + + /** + * The size of the generated images. Must be one of `256x256`, `512x512`, or + * `1024x1024`. + */ + size?: '256x256' | '512x512' | '1024x1024' | null; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). + */ + user?: string; +} + +export interface ImageGenerateParams { + /** + * A text description of the desired image(s). The maximum length is 1000 + * characters. + */ + prompt: string; + + /** + * The number of images to generate. Must be between 1 and 10. + */ + n?: number | null; + + /** + * The format in which the generated images are returned. Must be one of `url` or + * `b64_json`. + */ + response_format?: 'url' | 'b64_json' | null; + + /** + * The size of the generated images. Must be one of `256x256`, `512x512`, or + * `1024x1024`. + */ + size?: '256x256' | '512x512' | '1024x1024' | null; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). + */ + user?: string; +} + +export namespace Images { + export import Image = API.Image; + export import ImagesResponse = API.ImagesResponse; + export import ImageCreateVariationParams = API.ImageCreateVariationParams; + export import ImageEditParams = API.ImageEditParams; + export import ImageGenerateParams = API.ImageGenerateParams; +} diff --git a/src/resources/index.ts b/src/resources/index.ts new file mode 100644 index 000000000..e2759712e --- /dev/null +++ b/src/resources/index.ts @@ -0,0 +1,37 @@ +// File generated from our OpenAPI spec by Stainless. + +export { Audio } from './audio/audio'; +export { Chat } from './chat/chat'; +export { + Completion, + CompletionChoice, + CompletionUsage, + CompletionCreateParams, + CompletionCreateParamsNonStreaming, + CompletionCreateParamsStreaming, + Completions, +} from './completions'; +export { CreateEmbeddingResponse, Embedding, EmbeddingCreateParams, Embeddings } from './embeddings'; +export { Edit, EditCreateParams, Edits } from './edits'; +export { FileContent, FileDeleted, FileObject, FileCreateParams, FileObjectsPage, Files } from './files'; +export { + FineTune, + FineTuneEvent, + FineTuneEventsListResponse, + FineTuneCreateParams, + FineTuneListEventsParams, + FineTuneListEventsParamsNonStreaming, + FineTuneListEventsParamsStreaming, + FineTunesPage, + FineTunes, +} from './fine-tunes'; +export { + Image, + ImagesResponse, + ImageCreateVariationParams, + ImageEditParams, + ImageGenerateParams, + Images, +} from './images'; +export { Model, ModelDeleted, ModelsPage, Models } from './models'; +export { Moderation, ModerationCreateResponse, ModerationCreateParams, Moderations } from './moderations'; diff --git a/src/resources/models.ts b/src/resources/models.ts new file mode 100644 index 000000000..84f01ccc3 --- /dev/null +++ b/src/resources/models.ts @@ -0,0 +1,77 @@ +// File generated from our OpenAPI spec by Stainless. + +import * as Core from 'openai/core'; +import { APIResource } from 'openai/resource'; +import * as API from './index'; +import { Page } from 'openai/pagination'; + +export class Models extends APIResource { + /** + * Retrieves a model instance, providing basic information about the model such as + * the owner and permissioning. + */ + retrieve(model: string, options?: Core.RequestOptions): Core.APIPromise { + return this.get(`/models/${model}`, options); + } + + /** + * Lists the currently available models, and provides basic information about each + * one such as the owner and availability. + */ + list(options?: Core.RequestOptions): Core.PagePromise { + return this.getAPIList('/models', ModelsPage, options); + } + + /** + * Delete a fine-tuned model. You must have the Owner role in your organization. + */ + del(model: string, options?: Core.RequestOptions): Core.APIPromise { + return this.delete(`/models/${model}`, options); + } +} + +/** + * Note: no pagination actually occurs yet, this is for forwards-compatibility. + */ +export class ModelsPage extends Page {} +// alias so we can export it in the namespace +type _ModelsPage = ModelsPage; + +/** + * Describes an OpenAI model offering that can be used with the API. + */ +export interface Model { + /** + * The model identifier, which can be referenced in the API endpoints. + */ + id: string; + + /** + * The date and time when the model was created. + */ + created: number; + + /** + * The object type, which is always "model". + */ + object: string; + + /** + * The organization that owns the model. + */ + owned_by: string; +} + +export interface ModelDeleted { + id: string; + + deleted: boolean; + + object: string; +} + +export namespace Models { + export import Model = API.Model; + export import ModelDeleted = API.ModelDeleted; + export type ModelsPage = _ModelsPage; +} diff --git a/src/resources/moderations.ts b/src/resources/moderations.ts new file mode 100644 index 000000000..d885c71ac --- /dev/null +++ b/src/resources/moderations.ts @@ -0,0 +1,163 @@ +// File generated from our OpenAPI spec by Stainless. + +import * as Core from 'openai/core'; +import { APIResource } from 'openai/resource'; +import * as API from './index'; + +export class Moderations extends APIResource { + /** + * Classifies if text violates OpenAI's Content Policy + */ + create( + body: ModerationCreateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this.post('/moderations', { body, ...options }); + } +} + +export interface Moderation { + /** + * A list of the categories, and whether they are flagged or not. + */ + categories: Moderation.Categories; + + /** + * A list of the categories along with their scores as predicted by model. + */ + category_scores: Moderation.CategoryScores; + + /** + * Whether the content violates + * [OpenAI's usage policies](/policies/usage-policies). + */ + flagged: boolean; +} + +export namespace Moderation { + /** + * A list of the categories, and whether they are flagged or not. + */ + export interface Categories { + /** + * Whether the content was flagged as 'hate'. + */ + hate: boolean; + + /** + * Whether the content was flagged as 'hate/threatening'. + */ + 'hate/threatening': boolean; + + /** + * Whether the content was flagged as 'self-harm'. + */ + 'self-harm': boolean; + + /** + * Whether the content was flagged as 'sexual'. + */ + sexual: boolean; + + /** + * Whether the content was flagged as 'sexual/minors'. + */ + 'sexual/minors': boolean; + + /** + * Whether the content was flagged as 'violence'. + */ + violence: boolean; + + /** + * Whether the content was flagged as 'violence/graphic'. + */ + 'violence/graphic': boolean; + } + + /** + * A list of the categories along with their scores as predicted by model. + */ + export interface CategoryScores { + /** + * The score for the category 'hate'. + */ + hate: number; + + /** + * The score for the category 'hate/threatening'. + */ + 'hate/threatening': number; + + /** + * The score for the category 'self-harm'. + */ + 'self-harm': number; + + /** + * The score for the category 'sexual'. + */ + sexual: number; + + /** + * The score for the category 'sexual/minors'. + */ + 'sexual/minors': number; + + /** + * The score for the category 'violence'. + */ + violence: number; + + /** + * The score for the category 'violence/graphic'. + */ + 'violence/graphic': number; + } +} + +/** + * Represents policy compliance report by OpenAI's content moderation model against + * a given input. + */ +export interface ModerationCreateResponse { + /** + * The unique identifier for the moderation request. + */ + id: string; + + /** + * The model used to generate the moderation results. + */ + model: string; + + /** + * A list of moderation objects. + */ + results: Array; +} + +export interface ModerationCreateParams { + /** + * The input text to classify + */ + input: string | Array; + + /** + * Two content moderations models are available: `text-moderation-stable` and + * `text-moderation-latest`. + * + * The default is `text-moderation-latest` which will be automatically upgraded + * over time. This ensures you are always using our most accurate model. If you use + * `text-moderation-stable`, we will provide advanced notice before updating the + * model. Accuracy of `text-moderation-stable` may be slightly lower than for + * `text-moderation-latest`. + */ + model?: (string & {}) | 'text-moderation-latest' | 'text-moderation-stable'; +} + +export namespace Moderations { + export import Moderation = API.Moderation; + export import ModerationCreateResponse = API.ModerationCreateResponse; + export import ModerationCreateParams = API.ModerationCreateParams; +} diff --git a/src/streaming.ts b/src/streaming.ts new file mode 100644 index 000000000..c654f3b64 --- /dev/null +++ b/src/streaming.ts @@ -0,0 +1,272 @@ +import type { Response } from 'openai/_shims/fetch'; + +type Bytes = string | ArrayBuffer | Uint8Array | Buffer | null | undefined; + +type ServerSentEvent = { + event: string | null; + data: string; + raw: string[]; +}; + +export class Stream implements AsyncIterable { + private decoder: SSEDecoder; + + constructor(private response: Response, private controller: AbortController) { + this.decoder = new SSEDecoder(); + } + + private async *iterMessages(): AsyncGenerator { + if (!this.response.body) { + this.controller.abort(); + throw new Error(`Attempted to iterate over a response with no body`); + } + const lineDecoder = new LineDecoder(); + + const iter = readableStreamAsyncIterable(this.response.body); + for await (const chunk of iter) { + for (const line of lineDecoder.decode(chunk)) { + const sse = this.decoder.decode(line); + if (sse) yield sse; + } + } + + for (const line of lineDecoder.flush()) { + const sse = this.decoder.decode(line); + if (sse) yield sse; + } + } + + async *[Symbol.asyncIterator](): AsyncIterator { + let done = false; + try { + for await (const sse of this.iterMessages()) { + if (done) continue; + + if (sse.data.startsWith('[DONE]')) { + done = true; + continue; + } + + if (sse.event === null) { + try { + yield JSON.parse(sse.data); + } catch (e) { + console.error(`Could not parse message into JSON:`, sse.data); + console.error(`From chunk:`, sse.raw); + throw e; + } + } + } + done = true; + } catch (e) { + // If the user calls `stream.controller.abort()`, we should exit without throwing. + if (e instanceof Error && e.name === 'AbortError') return; + throw e; + } finally { + // If the user `break`s, abort the ongoing request. + if (!done) this.controller.abort(); + } + } +} + +class SSEDecoder { + private data: string[]; + private event: string | null; + private chunks: string[]; + + constructor() { + this.event = null; + this.data = []; + this.chunks = []; + } + + decode(line: string) { + if (line.endsWith('\r')) { + line = line.substring(0, line.length - 1); + } + + if (!line) { + // empty line and we didn't previously encounter any messages + if (!this.event && !this.data.length) return null; + + const sse: ServerSentEvent = { + event: this.event, + data: this.data.join('\n'), + raw: this.chunks, + }; + + this.event = null; + this.data = []; + this.chunks = []; + + return sse; + } + + this.chunks.push(line); + + if (line.startsWith(':')) { + return null; + } + + let [fieldname, _, value] = partition(line, ':'); + + if (value.startsWith(' ')) { + value = value.substring(1); + } + + if (fieldname === 'event') { + this.event = value; + } else if (fieldname === 'data') { + this.data.push(value); + } + + return null; + } +} + +/** + * A re-implementation of httpx's `LineDecoder` in Python that handles incrementally + * reading lines from text. + * + * https://github.com/encode/httpx/blob/920333ea98118e9cf617f246905d7b202510941c/httpx/_decoders.py#L258 + */ +class LineDecoder { + // prettier-ignore + static NEWLINE_CHARS = new Set(['\n', '\r', '\x0b', '\x0c', '\x1c', '\x1d', '\x1e', '\x85', '\u2028', '\u2029']); + static NEWLINE_REGEXP = /\r\n|[\n\r\x0b\x0c\x1c\x1d\x1e\x85\u2028\u2029]/g; + + buffer: string[]; + trailingCR: boolean; + textDecoder: any; // TextDecoder found in browsers; not typed to avoid pulling in either "dom" or "node" types. + + constructor() { + this.buffer = []; + this.trailingCR = false; + } + + decode(chunk: Bytes): string[] { + let text = this.decodeText(chunk); + + if (this.trailingCR) { + text = '\r' + text; + this.trailingCR = false; + } + if (text.endsWith('\r')) { + this.trailingCR = true; + text = text.slice(0, -1); + } + + if (!text) { + return []; + } + + const trailingNewline = LineDecoder.NEWLINE_CHARS.has(text[text.length - 1] || ''); + let lines = text.split(LineDecoder.NEWLINE_REGEXP); + + if (lines.length === 1 && !trailingNewline) { + this.buffer.push(lines[0]!); + return []; + } + + if (this.buffer.length > 0) { + lines = [this.buffer.join('') + lines[0], ...lines.slice(1)]; + this.buffer = []; + } + + if (!trailingNewline) { + this.buffer = [lines.pop() || '']; + } + + return lines; + } + + decodeText(bytes: Bytes): string { + if (bytes == null) return ''; + if (typeof bytes === 'string') return bytes; + + // Node: + if (typeof Buffer !== 'undefined') { + if (bytes instanceof Buffer) { + return bytes.toString(); + } + if (bytes instanceof Uint8Array) { + return Buffer.from(bytes).toString(); + } + + throw new Error( + `Unexpected: received non-Uint8Array (${bytes.constructor.name}) stream chunk in an environment with a global "Buffer" defined, which this library assumes to be Node. Please report this error.`, + ); + } + + // Browser + if (typeof TextDecoder !== 'undefined') { + if (bytes instanceof Uint8Array || bytes instanceof ArrayBuffer) { + this.textDecoder ??= new TextDecoder('utf8'); + return this.textDecoder.decode(bytes); + } + + throw new Error( + `Unexpected: received non-Uint8Array/ArrayBuffer (${ + (bytes as any).constructor.name + }) in a web platform. Please report this error.`, + ); + } + + throw new Error( + `Unexpected: neither Buffer nor TextDecoder are available as globals. Please report this error.`, + ); + } + + flush(): string[] { + if (!this.buffer.length && !this.trailingCR) { + return []; + } + + const lines = [this.buffer.join('')]; + this.buffer = []; + this.trailingCR = false; + return lines; + } +} + +function partition(str: string, delimiter: string): [string, string, string] { + const index = str.indexOf(delimiter); + if (index !== -1) { + return [str.substring(0, index), delimiter, str.substring(index + delimiter.length)]; + } + + return [str, '', '']; +} + +/** + * Most browsers don't yet have async iterable support for ReadableStream, + * and Node has a very different way of reading bytes from its "ReadableStream". + * + * This polyfill was pulled from https://github.com/MattiasBuelens/web-streams-polyfill/pull/122#issuecomment-1627354490 + */ +function readableStreamAsyncIterable(stream: any): AsyncIterableIterator { + if (stream[Symbol.asyncIterator]) return stream; + + const reader = stream.getReader(); + return { + async next() { + try { + const result = await reader.read(); + if (result?.done) reader.releaseLock(); // release lock when stream becomes closed + return result; + } catch (e) { + reader.releaseLock(); // release lock when stream becomes errored + throw e; + } + }, + async return() { + const cancelPromise = reader.cancel(); + reader.releaseLock(); + await cancelPromise; + return { done: true, value: undefined }; + }, + [Symbol.asyncIterator]() { + return this; + }, + }; +} diff --git a/src/uploads.ts b/src/uploads.ts new file mode 100644 index 000000000..642bc66a5 --- /dev/null +++ b/src/uploads.ts @@ -0,0 +1,250 @@ +import { type RequestOptions } from './core'; +import { type Readable } from 'openai/_shims/node-readable'; +import { type BodyInit } from 'openai/_shims/fetch'; +import { FormData, File, type Blob, type FilePropertyBag } from 'openai/_shims/formdata'; +import { getMultipartRequestOptions } from 'openai/_shims/getMultipartRequestOptions'; +import { fileFromPath } from 'openai/_shims/fileFromPath'; +import { type FsReadStream, isFsReadStream } from 'openai/_shims/node-readable'; + +export { fileFromPath }; + +type BlobLikePart = string | ArrayBuffer | ArrayBufferView | BlobLike | Uint8Array | DataView; +export type BlobPart = string | ArrayBuffer | ArrayBufferView | Blob | Uint8Array | DataView; + +/** + * Typically, this is a native "File" class. + * + * We provide the {@link toFile} utility to convert a variety of objects + * into the File class. + * + * For convenience, you can also pass a fetch Response, or in Node, + * the result of fs.createReadStream(). + */ +export type Uploadable = FileLike | ResponseLike | FsReadStream; + +/** + * Intended to match web.Blob, node.Blob, node-fetch.Blob, etc. + */ +export interface BlobLike { + /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/Blob/size) */ + readonly size: number; + /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/Blob/type) */ + readonly type: string; + /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/Blob/text) */ + text(): Promise; + /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/Blob/slice) */ + slice(start?: number, end?: number): BlobLike; + // unfortunately @types/node-fetch@^2.6.4 doesn't type the arrayBuffer method +} + +/** + * Intended to match web.File, node.File, node-fetch.File, etc. + */ +export interface FileLike extends BlobLike { + /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/File/lastModified) */ + readonly lastModified: number; + /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/File/name) */ + readonly name: string; +} + +/** + * Intended to match web.Response, node.Response, node-fetch.Response, etc. + */ +export interface ResponseLike { + url: string; + blob(): Promise; +} + +export const isResponseLike = (value: any): value is ResponseLike => + value != null && + typeof value === 'object' && + typeof value.url === 'string' && + typeof value.blob === 'function'; + +export const isFileLike = (value: any): value is FileLike => + value != null && + typeof value === 'object' && + typeof value.name === 'string' && + typeof value.lastModified === 'number' && + isBlobLike(value); + +/** + * The BlobLike type omits arrayBuffer() because @types/node-fetch@^2.6.4 lacks it; but this check + * adds the arrayBuffer() method type because it is available and used at runtime + */ +export const isBlobLike = (value: any): value is BlobLike & { arrayBuffer(): Promise } => + value != null && + typeof value === 'object' && + typeof value.size === 'number' && + typeof value.type === 'string' && + typeof value.text === 'function' && + typeof value.slice === 'function' && + typeof value.arrayBuffer === 'function'; + +export const isUploadable = (value: any): value is Uploadable => { + return isFileLike(value) || isResponseLike(value) || isFsReadStream(value); +}; + +export type ToFileInput = Uploadable | Exclude | AsyncIterable; + +/** + * Helper for creating a {@link File} to pass to an SDK upload method from a variety of different data formats + * @param value the raw content of the file. Can be an {@link Uploadable}, {@link BlobLikePart}, or {@link AsyncIterable} of {@link BlobLikePart}s + * @param {string=} name the name of the file. If omitted, toFile will try to determine a file name from bits if possible + * @param {Object=} options additional properties + * @param {string=} options.type the MIME type of the content + * @param {number=} options.lastModified the last modified timestamp + * @returns a {@link File} with the given properties + */ +export async function toFile( + value: ToFileInput | PromiseLike, + name?: string | null | undefined, + options: FilePropertyBag | undefined = {}, +): Promise { + // If it's a promise, resolve it. + value = await value; + + if (isResponseLike(value)) { + const blob = await value.blob(); + name ||= new URL(value.url).pathname.split(/[\\/]/).pop() ?? 'unknown_file'; + + return new File([blob as any], name, options); + } + + const bits = await getBytes(value); + + name ||= getName(value) ?? 'unknown_file'; + + if (!options.type) { + const type = (bits[0] as any)?.type; + if (typeof type === 'string') { + options = { ...options, type }; + } + } + + return new File(bits, name, options); +} + +async function getBytes(value: ToFileInput): Promise> { + let parts: Array = []; + if ( + typeof value === 'string' || + ArrayBuffer.isView(value) || // includes Uint8Array, Buffer, etc. + value instanceof ArrayBuffer + ) { + parts.push(value); + } else if (isBlobLike(value)) { + parts.push(await value.arrayBuffer()); + } else if ( + isAsyncIterableIterator(value) // includes Readable, ReadableStream, etc. + ) { + for await (const chunk of value) { + parts.push(chunk as BlobPart); // TODO, consider validating? + } + } else { + throw new Error( + `Unexpected data type: ${typeof value}; constructor: ${ + value?.constructor?.name + }; props: ${propsForError(value)}`, + ); + } + + return parts; +} + +function propsForError(value: any): string { + const props = Object.getOwnPropertyNames(value); + return `[${props.map((p) => `"${p}"`).join(', ')}]`; +} + +function getName(value: any): string | undefined { + return ( + getStringFromMaybeBuffer(value.name) || + getStringFromMaybeBuffer(value.filename) || + // For fs.ReadStream + getStringFromMaybeBuffer(value.path)?.split(/[\\/]/).pop() + ); +} + +const getStringFromMaybeBuffer = (x: string | Buffer | unknown): string | undefined => { + if (typeof x === 'string') return x; + if (typeof Buffer !== 'undefined' && x instanceof Buffer) return String(x); + return undefined; +}; + +const isAsyncIterableIterator = (value: any): value is AsyncIterableIterator => + value != null && typeof value === 'object' && typeof value[Symbol.asyncIterator] === 'function'; + +export class MultipartBody { + constructor(public body: Readable | BodyInit) {} + get [Symbol.toStringTag](): string { + return 'MultipartBody'; + } +} + +export const isMultipartBody = (body: any): body is MultipartBody => + body && typeof body === 'object' && body.body && body[Symbol.toStringTag] === 'MultipartBody'; + +/** + * Returns a multipart/form-data request if any part of the given request body contains a File / Blob value. + * Otherwise returns the request as is. + */ +export const maybeMultipartFormRequestOptions = async >( + opts: RequestOptions, +): Promise> => { + if (!hasUploadableValue(opts.body)) return opts; + + const form = await createForm(opts.body); + return getMultipartRequestOptions(form, opts); +}; + +export const multipartFormRequestOptions = async >( + opts: RequestOptions, +): Promise> => { + const form = await createForm(opts.body); + return getMultipartRequestOptions(form, opts); +}; + +export const createForm = async >(body: T | undefined): Promise => { + const form = new FormData(); + await Promise.all(Object.entries(body || {}).map(([key, value]) => addFormValue(form, key, value))); + return form; +}; + +const hasUploadableValue = (value: unknown): boolean => { + if (isUploadable(value)) return true; + if (Array.isArray(value)) return value.some(hasUploadableValue); + if (value && typeof value === 'object') { + for (const k in value) { + if (hasUploadableValue((value as any)[k])) return true; + } + } + return false; +}; + +const addFormValue = async (form: FormData, key: string, value: unknown): Promise => { + if (value === undefined) return; + if (value == null) { + throw new TypeError( + `Received null for "${key}"; to pass null in FormData, you must use the string 'null'`, + ); + } + + // TODO: make nested formats configurable + if (typeof value === 'string' || typeof value === 'number' || typeof value === 'boolean') { + form.append(key, String(value)); + } else if (isUploadable(value)) { + const file = await toFile(value); + form.append(key, file as File); + } else if (Array.isArray(value)) { + await Promise.all(value.map((entry) => addFormValue(form, key + '[]', entry))); + } else if (typeof value === 'object') { + await Promise.all( + Object.entries(value).map(([name, prop]) => addFormValue(form, `${key}[${name}]`, prop)), + ); + } else { + throw new TypeError( + `Invalid value given to form, expected a string, number, boolean, object, Array, File or Blob but got ${value} instead`, + ); + } +}; diff --git a/src/version.ts b/src/version.ts new file mode 100644 index 000000000..afb51c559 --- /dev/null +++ b/src/version.ts @@ -0,0 +1 @@ +export const VERSION = '4.0.0'; diff --git a/tests/api-resources/audio/transcriptions.test.ts b/tests/api-resources/audio/transcriptions.test.ts new file mode 100644 index 000000000..79ee351e6 --- /dev/null +++ b/tests/api-resources/audio/transcriptions.test.ts @@ -0,0 +1,35 @@ +// File generated from our OpenAPI spec by Stainless. + +import OpenAI, { toFile } from 'openai'; +import { Response } from 'node-fetch'; + +const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010' }); + +describe('resource transcriptions', () => { + // Prism doesn't support multipart/form-data + test.skip('create: only required params', async () => { + const responsePromise = openai.audio.transcriptions.create({ + file: await toFile(Buffer.from('# my file contents'), 'README.md'), + model: 'whisper-1', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + // Prism doesn't support multipart/form-data + test.skip('create: required and optional params', async () => { + const response = await openai.audio.transcriptions.create({ + file: await toFile(Buffer.from('# my file contents'), 'README.md'), + model: 'whisper-1', + language: 'string', + prompt: 'string', + response_format: 'json', + temperature: 0, + }); + }); +}); diff --git a/tests/api-resources/audio/translations.test.ts b/tests/api-resources/audio/translations.test.ts new file mode 100644 index 000000000..4f6389d2e --- /dev/null +++ b/tests/api-resources/audio/translations.test.ts @@ -0,0 +1,34 @@ +// File generated from our OpenAPI spec by Stainless. + +import OpenAI, { toFile } from 'openai'; +import { Response } from 'node-fetch'; + +const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010' }); + +describe('resource translations', () => { + // Prism doesn't support multipart/form-data + test.skip('create: only required params', async () => { + const responsePromise = openai.audio.translations.create({ + file: await toFile(Buffer.from('# my file contents'), 'README.md'), + model: 'whisper-1', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + // Prism doesn't support multipart/form-data + test.skip('create: required and optional params', async () => { + const response = await openai.audio.translations.create({ + file: await toFile(Buffer.from('# my file contents'), 'README.md'), + model: 'whisper-1', + prompt: 'string', + response_format: 'string', + temperature: 0, + }); + }); +}); diff --git a/tests/api-resources/chat/completions.test.ts b/tests/api-resources/chat/completions.test.ts new file mode 100644 index 000000000..1c8a02fd9 --- /dev/null +++ b/tests/api-resources/chat/completions.test.ts @@ -0,0 +1,48 @@ +// File generated from our OpenAPI spec by Stainless. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010' }); + +describe('resource completions', () => { + test('create: only required params', async () => { + const responsePromise = openai.chat.completions.create({ + messages: [{ role: 'system', content: 'string' }], + model: 'gpt-3.5-turbo', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await openai.chat.completions.create({ + messages: [ + { + role: 'system', + content: 'string', + name: 'string', + function_call: { name: 'string', arguments: 'string' }, + }, + ], + model: 'gpt-3.5-turbo', + frequency_penalty: -2, + function_call: 'none', + functions: [{ name: 'string', description: 'string', parameters: { foo: 'bar' } }], + logit_bias: { foo: 0 }, + max_tokens: 0, + n: 1, + presence_penalty: -2, + stop: 'string', + stream: false, + temperature: 1, + top_p: 1, + user: 'user-1234', + }); + }); +}); diff --git a/tests/api-resources/completions.test.ts b/tests/api-resources/completions.test.ts new file mode 100644 index 000000000..4f4e4cdc3 --- /dev/null +++ b/tests/api-resources/completions.test.ts @@ -0,0 +1,40 @@ +// File generated from our OpenAPI spec by Stainless. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010' }); + +describe('resource completions', () => { + test('create: only required params', async () => { + const responsePromise = openai.completions.create({ model: 'string', prompt: 'This is a test.' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await openai.completions.create({ + model: 'string', + prompt: 'This is a test.', + best_of: 0, + echo: true, + frequency_penalty: -2, + logit_bias: { foo: 0 }, + logprobs: 0, + max_tokens: 16, + n: 1, + presence_penalty: -2, + stop: '\n', + stream: false, + suffix: 'test.', + temperature: 1, + top_p: 1, + user: 'user-1234', + }); + }); +}); diff --git a/tests/api-resources/edits.test.ts b/tests/api-resources/edits.test.ts new file mode 100644 index 000000000..7b23c1ca5 --- /dev/null +++ b/tests/api-resources/edits.test.ts @@ -0,0 +1,33 @@ +// File generated from our OpenAPI spec by Stainless. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010' }); + +describe('resource edits', () => { + test('create: only required params', async () => { + const responsePromise = openai.edits.create({ + instruction: 'Fix the spelling mistakes.', + model: 'text-davinci-edit-001', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await openai.edits.create({ + instruction: 'Fix the spelling mistakes.', + model: 'text-davinci-edit-001', + input: 'What day of the wek is it?', + n: 1, + temperature: 1, + top_p: 1, + }); + }); +}); diff --git a/tests/api-resources/embeddings.test.ts b/tests/api-resources/embeddings.test.ts new file mode 100644 index 000000000..cb8b8f9e0 --- /dev/null +++ b/tests/api-resources/embeddings.test.ts @@ -0,0 +1,30 @@ +// File generated from our OpenAPI spec by Stainless. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010' }); + +describe('resource embeddings', () => { + test('create: only required params', async () => { + const responsePromise = openai.embeddings.create({ + input: 'The quick brown fox jumped over the lazy dog', + model: 'text-embedding-ada-002', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await openai.embeddings.create({ + input: 'The quick brown fox jumped over the lazy dog', + model: 'text-embedding-ada-002', + user: 'user-1234', + }); + }); +}); diff --git a/tests/api-resources/files.test.ts b/tests/api-resources/files.test.ts new file mode 100644 index 000000000..d75fa5067 --- /dev/null +++ b/tests/api-resources/files.test.ts @@ -0,0 +1,101 @@ +// File generated from our OpenAPI spec by Stainless. + +import OpenAI, { toFile } from 'openai'; +import { Response } from 'node-fetch'; + +const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010' }); + +describe('resource files', () => { + test('create: only required params', async () => { + const responsePromise = openai.files.create({ + file: await toFile(Buffer.from('# my file contents'), 'README.md'), + purpose: 'string', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await openai.files.create({ + file: await toFile(Buffer.from('# my file contents'), 'README.md'), + purpose: 'string', + }); + }); + + test('retrieve', async () => { + const responsePromise = openai.files.retrieve('string'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(openai.files.retrieve('string', { path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('list', async () => { + const responsePromise = openai.files.list(); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(openai.files.list({ path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('del', async () => { + const responsePromise = openai.files.del('string'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(openai.files.del('string', { path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('retrieveContent', async () => { + const responsePromise = openai.files.retrieveContent('string'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieveContent: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + openai.files.retrieveContent('string', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/fine-tunes.test.ts b/tests/api-resources/fine-tunes.test.ts new file mode 100644 index 000000000..78d9b87bd --- /dev/null +++ b/tests/api-resources/fine-tunes.test.ts @@ -0,0 +1,114 @@ +// File generated from our OpenAPI spec by Stainless. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010' }); + +describe('resource fineTunes', () => { + test('create: only required params', async () => { + const responsePromise = openai.fineTunes.create({ training_file: 'file-ajSREls59WBbvgSzJSVWxMCB' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await openai.fineTunes.create({ + training_file: 'file-ajSREls59WBbvgSzJSVWxMCB', + batch_size: 0, + classification_betas: [0, 0, 0], + classification_n_classes: 0, + classification_positive_class: 'string', + compute_classification_metrics: true, + learning_rate_multiplier: 0, + model: 'curie', + n_epochs: 0, + prompt_loss_weight: 0, + suffix: 'x', + validation_file: 'file-XjSREls59WBbvgSzJSVWxMCa', + }); + }); + + test('retrieve', async () => { + const responsePromise = openai.fineTunes.retrieve('ft-AF1WoRqd3aJAHsqc9NY7iL8F'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + openai.fineTunes.retrieve('ft-AF1WoRqd3aJAHsqc9NY7iL8F', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list', async () => { + const responsePromise = openai.fineTunes.list(); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(openai.fineTunes.list({ path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('cancel', async () => { + const responsePromise = openai.fineTunes.cancel('ft-AF1WoRqd3aJAHsqc9NY7iL8F'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('cancel: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + openai.fineTunes.cancel('ft-AF1WoRqd3aJAHsqc9NY7iL8F', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + // Prism chokes on this + test.skip('listEvents', async () => { + const responsePromise = openai.fineTunes.listEvents('ft-AF1WoRqd3aJAHsqc9NY7iL8F'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + // Prism chokes on this + test.skip('listEvents: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + openai.fineTunes.listEvents( + 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', + { stream: false }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/images.test.ts b/tests/api-resources/images.test.ts new file mode 100644 index 000000000..c10b19aef --- /dev/null +++ b/tests/api-resources/images.test.ts @@ -0,0 +1,84 @@ +// File generated from our OpenAPI spec by Stainless. + +import OpenAI, { toFile } from 'openai'; +import { Response } from 'node-fetch'; + +const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010' }); + +describe('resource images', () => { + // Prism doesn't support multipart/form-data + test.skip('createVariation: only required params', async () => { + const responsePromise = openai.images.createVariation({ + image: await toFile(Buffer.from('# my file contents'), 'README.md'), + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + // Prism doesn't support multipart/form-data + test.skip('createVariation: required and optional params', async () => { + const response = await openai.images.createVariation({ + image: await toFile(Buffer.from('# my file contents'), 'README.md'), + n: 1, + response_format: 'url', + size: '1024x1024', + user: 'user-1234', + }); + }); + + // Prism doesn't support multipart/form-data + test.skip('edit: only required params', async () => { + const responsePromise = openai.images.edit({ + image: await toFile(Buffer.from('# my file contents'), 'README.md'), + prompt: 'A cute baby sea otter wearing a beret', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + // Prism doesn't support multipart/form-data + test.skip('edit: required and optional params', async () => { + const response = await openai.images.edit({ + image: await toFile(Buffer.from('# my file contents'), 'README.md'), + prompt: 'A cute baby sea otter wearing a beret', + mask: await toFile(Buffer.from('# my file contents'), 'README.md'), + n: 1, + response_format: 'url', + size: '1024x1024', + user: 'user-1234', + }); + }); + + // Prism doesn't support multipart/form-data + test.skip('generate: only required params', async () => { + const responsePromise = openai.images.generate({ prompt: 'A cute baby sea otter' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + // Prism doesn't support multipart/form-data + test.skip('generate: required and optional params', async () => { + const response = await openai.images.generate({ + prompt: 'A cute baby sea otter', + n: 1, + response_format: 'url', + size: '1024x1024', + user: 'user-1234', + }); + }); +}); diff --git a/tests/api-resources/models.test.ts b/tests/api-resources/models.test.ts new file mode 100644 index 000000000..b468b1a06 --- /dev/null +++ b/tests/api-resources/models.test.ts @@ -0,0 +1,62 @@ +// File generated from our OpenAPI spec by Stainless. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010' }); + +describe('resource models', () => { + test('retrieve', async () => { + const responsePromise = openai.models.retrieve('text-davinci-001'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + openai.models.retrieve('text-davinci-001', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list', async () => { + const responsePromise = openai.models.list(); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(openai.models.list({ path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('del', async () => { + const responsePromise = openai.models.del('curie:ft-acmeco-2021-03-03-21-44-20'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + openai.models.del('curie:ft-acmeco-2021-03-03-21-44-20', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/moderations.test.ts b/tests/api-resources/moderations.test.ts new file mode 100644 index 000000000..910e8e5a2 --- /dev/null +++ b/tests/api-resources/moderations.test.ts @@ -0,0 +1,26 @@ +// File generated from our OpenAPI spec by Stainless. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010' }); + +describe('resource moderations', () => { + test('create: only required params', async () => { + const responsePromise = openai.moderations.create({ input: 'I want to kill them.' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await openai.moderations.create({ + input: 'I want to kill them.', + model: 'text-moderation-stable', + }); + }); +}); diff --git a/tests/form.test.ts b/tests/form.test.ts new file mode 100644 index 000000000..1b51d0795 --- /dev/null +++ b/tests/form.test.ts @@ -0,0 +1,65 @@ +import { multipartFormRequestOptions, createForm } from 'openai/core'; +import { Blob } from 'openai/_shims/formdata'; +import { toFile } from 'openai'; + +describe('form data validation', () => { + test('valid values do not error', async () => { + await multipartFormRequestOptions({ + body: { + foo: 'foo', + string: 1, + bool: true, + file: await toFile(Buffer.from('some-content')), + blob: new Blob(['Some content'], { type: 'text/plain' }), + }, + }); + }); + + test('null', async () => { + await expect(() => + multipartFormRequestOptions({ + body: { + null: null, + }, + }), + ).rejects.toThrow(TypeError); + }); + + test('undefined is stripped', async () => { + const form = await createForm({ + foo: undefined, + bar: 'baz', + }); + expect(form.has('foo')).toBe(false); + expect(form.get('bar')).toBe('baz'); + }); + + test('nested undefined property is stripped', async () => { + const form = await createForm({ + bar: { + baz: undefined, + }, + }); + expect(Array.from(form.entries())).toEqual([]); + + const form2 = await createForm({ + bar: { + foo: 'string', + baz: undefined, + }, + }); + expect(Array.from(form2.entries())).toEqual([['bar[foo]', 'string']]); + }); + + test('nested undefined array item is stripped', async () => { + const form = await createForm({ + bar: [undefined, undefined], + }); + expect(Array.from(form.entries())).toEqual([]); + + const form2 = await createForm({ + bar: [undefined, 'foo'], + }); + expect(Array.from(form2.entries())).toEqual([['bar[]', 'foo']]); + }); +}); diff --git a/tests/index.test.ts b/tests/index.test.ts new file mode 100644 index 000000000..de1befa1e --- /dev/null +++ b/tests/index.test.ts @@ -0,0 +1,215 @@ +// File generated from our OpenAPI spec by Stainless. + +import OpenAI from 'openai'; +import { APIUserAbortError } from 'openai'; +import { Headers } from 'openai/core'; +import { Response, fetch as defaultFetch, type RequestInit, type RequestInfo } from 'openai/_shims/fetch'; + +describe('instantiate client', () => { + const env = process.env; + + beforeEach(() => { + jest.resetModules(); + process.env = { ...env }; + + console.warn = jest.fn(); + }); + + afterEach(() => { + process.env = env; + }); + + describe('defaultHeaders', () => { + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + defaultHeaders: { 'X-My-Default-Header': '2' }, + apiKey: 'my api key', + }); + + test('they are used in the request', () => { + const { req } = client.buildRequest({ path: '/foo', method: 'post' }); + expect((req.headers as Headers)['X-My-Default-Header']).toEqual('2'); + }); + + test('can be overriden with `undefined`', () => { + const { req } = client.buildRequest({ + path: '/foo', + method: 'post', + headers: { 'X-My-Default-Header': undefined }, + }); + expect((req.headers as Headers)['X-My-Default-Header']).toBeUndefined(); + }); + + test('can be overriden with `null`', () => { + const { req } = client.buildRequest({ + path: '/foo', + method: 'post', + headers: { 'X-My-Default-Header': null }, + }); + expect((req.headers as Headers)['X-My-Default-Header']).toBeUndefined(); + }); + }); + + describe('defaultQuery', () => { + test('with null query params given', () => { + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + defaultQuery: { apiVersion: 'foo' }, + apiKey: 'my api key', + }); + expect(client.buildURL('/foo', null)).toEqual('http://localhost:5000/foo?apiVersion=foo'); + }); + + test('multiple default query params', () => { + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + defaultQuery: { apiVersion: 'foo', hello: 'world' }, + apiKey: 'my api key', + }); + expect(client.buildURL('/foo', null)).toEqual('http://localhost:5000/foo?apiVersion=foo&hello=world'); + }); + + test('overriding with `undefined`', () => { + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + defaultQuery: { hello: 'world' }, + apiKey: 'my api key', + }); + expect(client.buildURL('/foo', { hello: undefined })).toEqual('http://localhost:5000/foo'); + }); + }); + + test('custom fetch', async () => { + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + apiKey: 'my api key', + fetch: (url) => { + return Promise.resolve( + new Response(JSON.stringify({ url, custom: true }), { + headers: { 'Content-Type': 'application/json' }, + }), + ); + }, + }); + + const response = await client.get('/foo'); + expect(response).toEqual({ url: 'http://localhost:5000/foo', custom: true }); + }); + + test('custom signal', async () => { + const client = new OpenAI({ + baseURL: 'http://127.0.0.1:4010', + apiKey: 'my api key', + fetch: (...args) => { + return new Promise((resolve, reject) => + setTimeout( + () => + defaultFetch(...args) + .then(resolve) + .catch(reject), + 300, + ), + ); + }, + }); + + const controller = new AbortController(); + setTimeout(() => controller.abort(), 200); + + const spy = jest.spyOn(client, 'request'); + + await expect(client.get('/foo', { signal: controller.signal })).rejects.toThrowError(APIUserAbortError); + expect(spy).toHaveBeenCalledTimes(1); + }); + + describe('baseUrl', () => { + test('trailing slash', () => { + const client = new OpenAI({ baseURL: 'http://localhost:5000/custom/path/', apiKey: 'my api key' }); + expect(client.buildURL('/foo', null)).toEqual('http://localhost:5000/custom/path/foo'); + }); + + test('no trailing slash', () => { + const client = new OpenAI({ baseURL: 'http://localhost:5000/custom/path', apiKey: 'my api key' }); + expect(client.buildURL('/foo', null)).toEqual('http://localhost:5000/custom/path/foo'); + }); + }); + + test('maxRetries option is correctly set', () => { + const client = new OpenAI({ maxRetries: 1, apiKey: 'my api key' }); + expect(client.maxRetries).toEqual(1); + + // default + const client2 = new OpenAI({ apiKey: 'my api key' }); + expect(client2.maxRetries).toEqual(2); + }); + + test('with minimal arguments', () => { + // set API Key via env var + process.env['OPENAI_API_KEY'] = 'env var api key'; + const client = new OpenAI(); + expect(client.apiKey).toBe('env var api key'); + }); + + test('with apiKey argument', () => { + process.env['OPENAI_API_KEY'] = 'env var api key'; + + const client = new OpenAI({ apiKey: 'another api key' }); + expect(client.apiKey).toBe('another api key'); + }); + + test('with options argument', () => { + process.env['OPENAI_API_KEY'] = 'env var api key'; + + // apiKey + const client = new OpenAI({ apiKey: 'my api key' }); + expect(client.apiKey).toBe('my api key'); + }); + + test('with disabled authentication', () => { + // fails if no API Key provided + expect(() => { + new OpenAI(); + }).toThrow(); + }); +}); + +describe('request building', () => { + const client = new OpenAI({ apiKey: 'my api key' }); + + describe('Content-Length', () => { + test('handles multi-byte characters', () => { + const { req } = client.buildRequest({ path: '/foo', method: 'post', body: { value: '—' } }); + expect((req.headers as Record)['Content-Length']).toEqual('20'); + }); + + test('handles standard characters', () => { + const { req } = client.buildRequest({ path: '/foo', method: 'post', body: { value: 'hello' } }); + expect((req.headers as Record)['Content-Length']).toEqual('22'); + }); + }); +}); + +describe('retries', () => { + test('single retry', async () => { + let count = 0; + const testFetch = async (url: RequestInfo, { signal }: RequestInit = {}): Promise => { + if (!count++) + return new Promise((resolve, reject) => + signal?.addEventListener('abort', () => reject(new Error('timed out'))), + ); + return new Response(JSON.stringify({ a: 1 }), { headers: { 'Content-Type': 'application/json' } }); + }; + + const client = new OpenAI({ apiKey: 'my api key', timeout: 2000, fetch: testFetch }); + + expect(await client.request({ path: '/foo', method: 'get' })).toEqual({ a: 1 }); + expect(count).toEqual(2); + expect( + await client + .request({ path: '/foo', method: 'get' }) + .asResponse() + .then((r) => r.text()), + ).toEqual(JSON.stringify({ a: 1 })); + expect(count).toEqual(3); + }, 10000); +}); diff --git a/tests/responses.test.ts b/tests/responses.test.ts new file mode 100644 index 000000000..2901d3c43 --- /dev/null +++ b/tests/responses.test.ts @@ -0,0 +1,25 @@ +import { createResponseHeaders } from 'openai/core'; +import { Headers } from 'openai/_shims/fetch'; + +describe('response parsing', () => { + // TODO: test unicode characters + test('headers are case agnostic', async () => { + const headers = createResponseHeaders(new Headers({ 'Content-Type': 'foo', Accept: 'text/plain' })); + expect(headers['content-type']).toEqual('foo'); + expect(headers['Content-type']).toEqual('foo'); + expect(headers['Content-Type']).toEqual('foo'); + expect(headers['accept']).toEqual('text/plain'); + expect(headers['Accept']).toEqual('text/plain'); + expect(headers['Hello-World']).toBeUndefined(); + }); + + test('duplicate headers are concatenated', () => { + const headers = createResponseHeaders( + new Headers([ + ['Content-Type', 'text/xml'], + ['Content-Type', 'application/json'], + ]), + ); + expect(headers['content-type']).toBe('text/xml, application/json'); + }); +}); diff --git a/tests/stringifyQuery.test.ts b/tests/stringifyQuery.test.ts new file mode 100644 index 000000000..6db84d3fe --- /dev/null +++ b/tests/stringifyQuery.test.ts @@ -0,0 +1,26 @@ +import { APIClient } from 'openai/core'; + +const { stringifyQuery } = APIClient.prototype as any; + +describe('APIClient.stringifyQuery', () => { + for (const [input, expected] of [ + [{ a: '1', b: 2, c: true }, 'a=1&b=2&c=true'], + [{ a: null, b: false, c: undefined }, 'a=&b=false'], + [{ 'a/b': 1.28341 }, `${encodeURIComponent('a/b')}=1.28341`], + [ + { 'a/b': 'c/d', 'e=f': 'g&h' }, + `${encodeURIComponent('a/b')}=${encodeURIComponent('c/d')}&${encodeURIComponent( + 'e=f', + )}=${encodeURIComponent('g&h')}`, + ], + ]) { + it(`${JSON.stringify(input)} -> ${expected}`, () => { + expect(stringifyQuery(input)).toEqual(expected); + }); + } + for (const value of [[], {}, new Date()]) { + it(`${JSON.stringify(value)} -> `, () => { + expect(() => stringifyQuery({ value })).toThrow(`Cannot stringify type ${typeof value}`); + }); + } +}); diff --git a/tests/uploads.test.ts b/tests/uploads.test.ts new file mode 100644 index 000000000..1079379ed --- /dev/null +++ b/tests/uploads.test.ts @@ -0,0 +1,57 @@ +import fs from 'fs'; +import { toFile, type ResponseLike } from 'openai/uploads'; +import { File } from 'openai/_shims/formdata'; + +class MyClass { + name: string = 'foo'; +} + +function mockResponse({ url, content }: { url: string; content?: Blob }): ResponseLike { + return { + url, + blob: async () => content as any, + }; +} + +describe('toFile', () => { + it('throws a helpful error for mismatched types', async () => { + await expect( + // @ts-expect-error intentionally mismatched type + toFile({ foo: 'string' }), + ).rejects.toThrowErrorMatchingInlineSnapshot( + `"Unexpected data type: object; constructor: Object; props: ["foo"]"`, + ); + + await expect( + // @ts-expect-error intentionally mismatched type + toFile(new MyClass()), + ).rejects.toThrowErrorMatchingInlineSnapshot( + `"Unexpected data type: object; constructor: MyClass; props: ["name"]"`, + ); + }); + + it('disallows string at the type-level', async () => { + // @ts-expect-error we intentionally do not type support for `string` + // to help people avoid passing a file path + const file = await toFile('contents'); + expect(file.text()).resolves.toEqual('contents'); + }); + + it('extracts a file name from a Response', async () => { + const response = mockResponse({ url: 'https://example.com/my/audio.mp3' }); + const file = await toFile(response); + expect(file.name).toEqual('audio.mp3'); + }); + + it('extracts a file name from a File', async () => { + const input = new File(['foo'], 'input.jsonl'); + const file = await toFile(input); + expect(file.name).toEqual('input.jsonl'); + }); + + it('extracts a file name from a ReadStream', async () => { + const input = fs.createReadStream('tests/uploads.test.ts'); + const file = await toFile(input); + expect(file.name).toEqual('uploads.test.ts'); + }); +}); diff --git a/tsc-multi.json b/tsc-multi.json new file mode 100644 index 000000000..4facad5ad --- /dev/null +++ b/tsc-multi.json @@ -0,0 +1,7 @@ +{ + "targets": [ + { "extname": ".js", "module": "commonjs" }, + { "extname": ".mjs", "module": "esnext" } + ], + "projects": ["tsconfig.build.json"] +} diff --git a/tsconfig.build.json b/tsconfig.build.json new file mode 100644 index 000000000..890200d2b --- /dev/null +++ b/tsconfig.build.json @@ -0,0 +1,32 @@ +{ + "extends": "./tsconfig.json", + "include": ["dist/src"], + "exclude": ["dist/src/_shims/*.deno.ts"], + "compilerOptions": { + "rootDir": "./dist/src", + "paths": { + "openai/_shims/*": ["dist/src/_shims/*.node"], + "openai": ["dist/src/index.ts"], + "openai/*": ["dist/src/*"], + "digest-fetch": ["./typings/digest-fetch"] + }, + "noEmit": false, + "declaration": true, + "declarationMap": true, + "outDir": "dist", + "pretty": true, + "sourceMap": true + }, + "tsc-alias": { + "resolveFullPaths": true, + "fileExtensions": { + "inputGlob": "{mjs,cjs,js,jsx,mts,cts,ts,tsx}" + }, + "replacers": { + "replace-absolute-imports": { + "enabled": true, + "file": "./scripts/replace-self-referencing-imports.js" + } + } + } +} diff --git a/tsconfig.deno.json b/tsconfig.deno.json new file mode 100644 index 000000000..1fa5cf8ae --- /dev/null +++ b/tsconfig.deno.json @@ -0,0 +1,21 @@ +{ + "extends": "./tsconfig.json", + "include": ["deno"], + "exclude": [], + "compilerOptions": { + "rootDir": "./deno", + "lib": ["es2020", "DOM"], + "paths": { + "openai/_shims/*": ["deno/_shims/*"], + "openai": ["deno/index.ts"], + "openai/*": ["deno/*"], + "digest-fetch": ["./typings/digest-fetch"] + }, + "noEmit": true, + "declaration": true, + "declarationMap": true, + "outDir": "deno", + "pretty": true, + "sourceMap": true + } +} diff --git a/tsconfig.json b/tsconfig.json index 2e9a191f8..89f263f29 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -1,17 +1,38 @@ { + "include": ["src", "tests", "examples"], + "exclude": ["src/_shims/*.deno.ts"], "compilerOptions": { - "declaration": true, - "target": "es6", + "target": "es2019", + "lib": ["es2020"], "module": "commonjs", + "moduleResolution": "node", + "esModuleInterop": true, + "baseUrl": "./", + "paths": { + "openai/_shims/*": ["src/_shims/*.node"], + "openai": ["src/index.ts"], + "openai/*": ["src/*"], + "digest-fetch": ["./typings/digest-fetch"] + }, + "noEmit": true, + + "resolveJsonModule": true, + + "forceConsistentCasingInFileNames": true, + + "strict": true, "noImplicitAny": true, - "outDir": "dist", - "rootDir": ".", - "typeRoots": [ - "node_modules/@types" - ] - }, - "exclude": [ - "dist", - "node_modules" - ] + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "exactOptionalPropertyTypes": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + + "skipLibCheck": true + } } diff --git a/typings/digest-fetch/index.d.ts b/typings/digest-fetch/index.d.ts new file mode 100644 index 000000000..f6bcbfda9 --- /dev/null +++ b/typings/digest-fetch/index.d.ts @@ -0,0 +1,33 @@ +declare module 'digest-fetch'; + +import type { RequestInfo, RequestInit, Response } from 'node-fetch'; + +type Algorithm = 'MD5' | 'MD5-sess'; + +type Options = { + algorithm?: Algorithm; + statusCode?: number; + cnonceSize?: number; + basic?: boolean; + precomputeHash?: boolean; + logger?: typeof console; +}; + +class DigestClient { + user: string; + password: string; + + private nonceRaw: string; + private logger?: typeof console; + private precomputedHash?: boolean; + private statusCode?: number; + private basic: boolean; + private cnonceSize: number; + private hasAuth: boolean; + private digest: { nc: number; algorithm: Algorithm; realm: string }; + + constructor(user: string, password: string, options: Options = {}); + async fetch(url: RequestInfo, options: RequestInit = {}): Promise; +} + +export default DigestClient; diff --git a/yarn.lock b/yarn.lock new file mode 100644 index 000000000..6d0613949 --- /dev/null +++ b/yarn.lock @@ -0,0 +1,4248 @@ +# THIS IS AN AUTOGENERATED FILE. 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