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docs[patch]: In conceptual docs explain constraints on ToolMessage (#26792)
Minor clarification
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@ -116,14 +116,14 @@ These also have corresponding async methods that should be used with [asyncio](h
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The **input type** and **output type** varies by component:
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| Component | Input Type | Output Type |
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| --- | --- | --- |
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| Prompt | Dictionary | PromptValue |
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| ChatModel | Single string, list of chat messages or a PromptValue | ChatMessage |
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| LLM | Single string, list of chat messages or a PromptValue | String |
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| OutputParser | The output of an LLM or ChatModel | Depends on the parser |
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| Retriever | Single string | List of Documents |
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| Tool | Single string or dictionary, depending on the tool | Depends on the tool |
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| Component | Input Type | Output Type |
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|--------------|-------------------------------------------------------|-----------------------|
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| Prompt | Dictionary | PromptValue |
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| ChatModel | Single string, list of chat messages or a PromptValue | ChatMessage |
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| LLM | Single string, list of chat messages or a PromptValue | String |
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| OutputParser | The output of an LLM or ChatModel | Depends on the parser |
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| Retriever | Single string | List of Documents |
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| Tool | Single string or dictionary, depending on the tool | Depends on the tool |
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All runnables expose input and output **schemas** to inspect the inputs and outputs:
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@ -236,7 +236,7 @@ This is where information like log-probs and token usage may be stored.
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**`tool_calls`**
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These represent a decision from an language model to call a tool. They are included as part of an `AIMessage` output.
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These represent a decision from a language model to call a tool. They are included as part of an `AIMessage` output.
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They can be accessed from there with the `.tool_calls` property.
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This property returns a list of `ToolCall`s. A `ToolCall` is a dictionary with the following arguments:
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@ -256,6 +256,8 @@ This represents a message with role "tool", which contains the result of calling
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- a `tool_call_id` field which conveys the id of the call to the tool that was called to produce this result.
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- an `artifact` field which can be used to pass along arbitrary artifacts of the tool execution which are useful to track but which should not be sent to the model.
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With most chat models, a `ToolMessage` can only appear in the chat history after an `AIMessage` that has a populated `tool_calls` field.
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#### (Legacy) FunctionMessage
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This is a legacy message type, corresponding to OpenAI's legacy function-calling API. `ToolMessage` should be used instead to correspond to the updated tool-calling API.
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