[Cookbook] Simple Function calling example with Mixtral-8x7B #748
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Simply extend the OpenAIInference modelparser and change the api key and base_url to point to anyscale. Added utility classes for all the supported models for Anyscale Endpoints: https://docs.endpoints.anyscale.com/category/supported-models
saqadri
requested review from
rholinshead,
suyoglastmileai,
Ankush-lastmile,
jonathanlastmileai and
rossdanlm
as code owners
This was referenced Jan 4, 2024
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Test Plan: function_calling.mov |
Add a ModelParser for Anyscale Endpoints
…POINT_API_KEY or OPENAI_API_KEY TSIA
Clone the Getting Started cookbook and adapt it for Anyscale. Next up we will also add a cookbook for function calling using Anyscale.
Along with some fixes to function calling using OpenAI and Anyscale modelparsers
saqadri
added a commit
that referenced
this pull request
Jan 4, 2024
… and non-streaming (#752) [bug] Ensure that Output is constructed consistently across streaming and non-streaming Currently the openai modelparser calls `build_output_data` to properly construct the response from the inference endpoint into an AIConfig OutputData type. However, it only does this when stream = False. This change adds the same logic to stream = True (and also ensures that the metadata is set consistently and in a loss-less way. Also updated the same logic for Anyscale Endpoint model parser. --- Stack created with [Sapling](https://sapling-scm.com). Best reviewed with [ReviewStack](https://reviewstack.dev/lastmile-ai/aiconfig/pull/752). * __->__ #752 * #748 * #746 * #745 * #743 * #730
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[Cookbook] Simple Function calling example with Mixtral-8x7B
Along with some fixes to function calling using OpenAI and Anyscale modelparsers
Stack created with Sapling. Best reviewed with ReviewStack.