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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"id": "fecd752b-871f-4add-a7b0-bef18f98b787", | ||
"metadata": {}, | ||
"source": [ | ||
"# Tutorial: Orchestrate Function Calling with Mistralai/Mistral-7B-Instruct-v0.1 using ActionWeaver through Anyscale Endpoints\n", | ||
"\n", | ||
"Welcome to this tutorial where we will guide you through using ActionWeaver to orchestrate function calling with the open-source model mistralai/Mistral-7B-Instruct-v0.1 via Anyscale endpoints.\n", | ||
"\n", | ||
"## Prerequisites\n", | ||
"\n", | ||
"Before we start, ensure you have the following:\n", | ||
"\n", | ||
"- An Anyscale account\n", | ||
"- API key for Anyscale\n", | ||
"\n", | ||
"Follow the instructions to set up your account and obtain your API key: [Anyscale Documentation](https://docs.endpoints.anyscale.com/?_gl=1*1t5jz2h*_ga*ODk0Nzg3NTM1LjE3MDE5ODg4NzM.*_ga_T6EXHYG44V*MTcwMjc2NDYyNi43LjEuMTcwMjc2NDY2Ny4xOS4wLjA)\n", | ||
"\n", | ||
"Happy coding!\n", | ||
"\n", | ||
"## Additional Resources\n", | ||
"\n", | ||
"For more details regarding ActionWeaver please visit the [ActionWeaver GitHub repository](https://github.com/TengHu/ActionWeaver).\n", | ||
"\n", | ||
"Explore the repository to understand more about its capabilities, access documentation, and view the cookbook to get started!\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "90f19e6d-f7a8-4cea-b10e-2a5d460ed32b", | ||
"metadata": {}, | ||
"source": [ | ||
"**Step 1**: Patch OpenAI client" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 72, | ||
"id": "b63c61a5-dbb4-4e80-9d0c-99369c207a31", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"\n", | ||
"from actionweaver.llms import patch\n", | ||
"from openai import OpenAI\n", | ||
"import os\n", | ||
"\n", | ||
"openai_client = patch(OpenAI(\n", | ||
" base_url = \"https://api.endpoints.anyscale.com/v1\",\n", | ||
" api_key = os.getenv(\"ANYSCALE_API_TOKEN\"),\n", | ||
"))" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "99c6610b-480e-429f-a337-0ef9cb9aeb08", | ||
"metadata": {}, | ||
"source": [ | ||
"**Step 2**: Define function you want model to invoke" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 54, | ||
"id": "26227372-4003-4622-8b2e-e4b6fb41ebd3", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"from actionweaver import action\n", | ||
"\n", | ||
"@action(name=\"GetCurrentTime\")\n", | ||
"def get_current_time() -> str:\n", | ||
" \"\"\"\n", | ||
" Use this for getting the current time in the specified time zone.\n", | ||
" \n", | ||
" :return: A string representing the current time in the specified time zone.\n", | ||
" \"\"\"\n", | ||
" print (\"Getting current time...\")\n", | ||
" import datetime\n", | ||
" current_time = datetime.datetime.now()\n", | ||
" \n", | ||
" return f\"The current time is {current_time}\"\n", | ||
"\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "be43ebed-b074-45db-b689-e8247a8fd6ba", | ||
"metadata": {}, | ||
"source": [ | ||
"**Step 3**: invoke the chat completion api with mistralai/Mistral-7B-Instruct-v0.1" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 86, | ||
"id": "1739728e-8879-461b-b4a1-1d95b6a9eea3", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"Getting current time...\n" | ||
] | ||
}, | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"ChatCompletion(id='mistralai/Mistral-7B-Instruct-v0.1-1r6q1D_zIMOZlpQBCZsHC_pezU96tAjlRM2iEvPiG7E', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content=' The current time is 2023-12-28 16:23:40.227544.', role='assistant', function_call=None, tool_calls=None, tool_call_id=None))], created=1703798621, model='mistralai/Mistral-7B-Instruct-v0.1', object='text_completion', system_fingerprint=None, usage=CompletionUsage(completion_tokens=42, prompt_tokens=638, total_tokens=680))" | ||
] | ||
}, | ||
"execution_count": 86, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"messages = [\n", | ||
" {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", | ||
" {\"role\": \"user\", \"content\": \"what time is it now\"}\n", | ||
" ]\n", | ||
"\n", | ||
"\n", | ||
"response = openai_client.chat.completions.create(\n", | ||
" model=\"mistralai/Mistral-7B-Instruct-v0.1\",\n", | ||
" messages=messages,\n", | ||
" stream=False,\n", | ||
" temperature=0.7,\n", | ||
" actions=[get_current_time],\n", | ||
")\n", | ||
"\n", | ||
"response" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 75, | ||
"id": "ebd5f35f-0b16-4bc8-a969-b4c2ded04442", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"Getting current time...\n" | ||
] | ||
}, | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"ChatCompletion(id='mistralai/Mistral-7B-Instruct-v0.1-o2VxZXY00gFNlgN-Jjdy04C1b2h20c11_X_kMwjE0sA', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content=' The answer to the question \"What is the current time?\" is \"2023-12-28 16:14:14.601829\".', role='assistant', function_call=None, tool_calls=None, tool_call_id=None))], created=1703798055, model='mistralai/Mistral-7B-Instruct-v0.1', object='text_completion', system_fingerprint=None, usage=CompletionUsage(completion_tokens=51, prompt_tokens=660, total_tokens=711))" | ||
] | ||
}, | ||
"execution_count": 75, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"get_current_time.invoke(openai_client, messages=[{\"role\": \"user\", \"content\": \"what time\"}], model=\"mistralai/Mistral-7B-Instruct-v0.1\", stream=False, force=False)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "9eb92adb-c7de-4e61-b895-6a56fff8c2d9", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "159afcf9-6ca6-40b5-90a8-802cd1235589", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "cff61db3-7f6d-45a0-8dfd-88437acaa78d", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "b1bbc49c-caa1-4026-80ba-3ba428f51a1a", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.11.0" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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