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docs: update chat model feature table (#20899)

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ccurme 2024-04-25 15:05:43 -04:00 committed by GitHub
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docs/scripts/model_feat_table.py
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@ -51,12 +51,12 @@ CHAT_MODEL_FEAT_TABLE_CORRECTION = {
"package": "langchain-google-vertexai",
},
"ChatGroq": {
"tool_calling": "partial",
"tool_calling": True,
"structured_output": True,
"package": "langchain-groq",
},
"ChatCohere": {
"tool_calling": "partial",
"tool_calling": True,
"structured_output": True,
"package": "langchain-cohere",
},
@ -98,8 +98,7 @@ All ChatModels implement the Runnable interface, which comes with default implem
- *Batch* support defaults to calling the underlying ChatModel in parallel for each input by making use of a thread pool executor (in the sync batch case) or `asyncio.gather` (in the async batch case). The concurrency can be controlled with the `max_concurrency` key in `RunnableConfig`.
Each ChatModel integration can optionally provide native implementations to truly enable async or streaming.
The table shows, for each integration, which features have been implemented with native support.
Yellow circles (🟡) indicates partial support - for example, if the model supports tool calling but not tool messages for agents.
The table shows, for each integration, which features have been implemented with native support.
{table}