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docs: Update concepts.mdx (#26496)
- Fix comments in Python - Fix repeated sentences
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@ -595,10 +595,10 @@ tool_call = ai_msg.tool_calls[0]
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# -> ToolCall(args={...}, id=..., ...)
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tool_message = tool.invoke(tool_call)
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# -> ToolMessage(
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content="tool result foobar...",
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tool_call_id=...,
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name="tool_name"
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)
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# content="tool result foobar...",
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# tool_call_id=...,
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# name="tool_name"
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# )
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```
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If you are invoking the tool this way and want to include an [artifact](/docs/concepts/#toolmessage) for the ToolMessage, you will need to have the tool return two things.
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@ -717,8 +717,6 @@ During run-time LangChain configures an appropriate callback manager (e.g., [Cal
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The `callbacks` property is available on most objects throughout the API (Models, Tools, Agents, etc.) in two different places:
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The callbacks are available on most objects throughout the API (Models, Tools, Agents, etc.) in two different places:
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- **Request time callbacks**: Passed at the time of the request in addition to the input data.
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Available on all standard `Runnable` objects. These callbacks are INHERITED by all children
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of the object they are defined on. For example, `chain.invoke({"number": 25}, {"callbacks": [handler]})`.
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