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@ -51,12 +51,12 @@ CHAT_MODEL_FEAT_TABLE_CORRECTION = {
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"package": "langchain-google-vertexai",
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},
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"ChatGroq": {
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"tool_calling": "partial",
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"tool_calling": True,
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"structured_output": True,
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"package": "langchain-groq",
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},
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"ChatCohere": {
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"tool_calling": "partial",
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"tool_calling": True,
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"structured_output": True,
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"package": "langchain-cohere",
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},
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@ -98,8 +98,7 @@ All ChatModels implement the Runnable interface, which comes with default implem
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- *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`.
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Each ChatModel integration can optionally provide native implementations to truly enable async or streaming.
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The table shows, for each integration, which features have been implemented with native support.
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Yellow circles (🟡) indicates partial support - for example, if the model supports tool calling but not tool messages for agents.
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The table shows, for each integration, which features have been implemented with native support.
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{table}
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