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_convert_delta_to_message_chunk() — langchain Function Reference

Architecture documentation for the _convert_delta_to_message_chunk() function in chat_models.py from the langchain codebase.

Function python LangChainCore LanguageModelBase called by 2

Entity Profile

Dependency Diagram

graph TD
  48f104ff_5195_d7be_593e_90381b500a59["_convert_delta_to_message_chunk()"]
  36b59643_acfc_fb1d_752e_ae7ec32a79a4["ChatPerplexity"]
  48f104ff_5195_d7be_593e_90381b500a59 -->|defined in| 36b59643_acfc_fb1d_752e_ae7ec32a79a4
  d798c5eb_b3ec_7dcd_afbe_81031dc680c3["_stream()"]
  d798c5eb_b3ec_7dcd_afbe_81031dc680c3 -->|calls| 48f104ff_5195_d7be_593e_90381b500a59
  b2a0fb65_dded_ba54_3fc4_cf222600b071["_astream()"]
  b2a0fb65_dded_ba54_3fc4_cf222600b071 -->|calls| 48f104ff_5195_d7be_593e_90381b500a59
  style 48f104ff_5195_d7be_593e_90381b500a59 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/perplexity/langchain_perplexity/chat_models.py lines 386–413

    def _convert_delta_to_message_chunk(
        self, _dict: Mapping[str, Any], default_class: type[BaseMessageChunk]
    ) -> BaseMessageChunk:
        role = _dict.get("role")
        content = _dict.get("content") or ""
        additional_kwargs: dict = {}
        if _dict.get("function_call"):
            function_call = dict(_dict["function_call"])
            if "name" in function_call and function_call["name"] is None:
                function_call["name"] = ""
            additional_kwargs["function_call"] = function_call
        if _dict.get("tool_calls"):
            additional_kwargs["tool_calls"] = _dict["tool_calls"]

        if role == "user" or default_class == HumanMessageChunk:
            return HumanMessageChunk(content=content)
        elif role == "assistant" or default_class == AIMessageChunk:
            return AIMessageChunk(content=content, additional_kwargs=additional_kwargs)
        elif role == "system" or default_class == SystemMessageChunk:
            return SystemMessageChunk(content=content)
        elif role == "function" or default_class == FunctionMessageChunk:
            return FunctionMessageChunk(content=content, name=_dict["name"])
        elif role == "tool" or default_class == ToolMessageChunk:
            return ToolMessageChunk(content=content, tool_call_id=_dict["tool_call_id"])
        elif role or default_class == ChatMessageChunk:
            return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
        else:
            return default_class(content=content)  # type: ignore[call-arg]

Domain

Subdomains

Defined In

Called By

Source

Frequently Asked Questions

What does _convert_delta_to_message_chunk() do?
_convert_delta_to_message_chunk() is a function in the langchain codebase, defined in libs/partners/perplexity/langchain_perplexity/chat_models.py.
Where is _convert_delta_to_message_chunk() defined?
_convert_delta_to_message_chunk() is defined in libs/partners/perplexity/langchain_perplexity/chat_models.py at line 386.
What calls _convert_delta_to_message_chunk()?
_convert_delta_to_message_chunk() is called by 2 function(s): _astream, _stream.

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