_convert_message_to_dict() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase called by 1

Entity Profile

LangChainCore→ LanguageModelBase→ _convert_message_to_dict() — langchain Function Reference

Dependency Diagram

graph TD
  7edbae0d_f9ed_9762_c20d_d552152aa3f2["_convert_message_to_dict()"]
  36b59643_acfc_fb1d_752e_ae7ec32a79a4["ChatPerplexity"]
  7edbae0d_f9ed_9762_c20d_d552152aa3f2 -->|defined in| 36b59643_acfc_fb1d_752e_ae7ec32a79a4
  b9349daf_2369_217d_7661_9f71b6258a13["_create_message_dicts()"]
  b9349daf_2369_217d_7661_9f71b6258a13 -->|calls| 7edbae0d_f9ed_9762_c20d_d552152aa3f2
  style 7edbae0d_f9ed_9762_c20d_d552152aa3f2 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/perplexity/langchain_perplexity/chat_models.py lines 362–373

    def _convert_message_to_dict(self, message: BaseMessage) -> dict[str, Any]:
        if isinstance(message, ChatMessage):
            message_dict = {"role": message.role, "content": message.content}
        elif isinstance(message, SystemMessage):
            message_dict = {"role": "system", "content": message.content}
        elif isinstance(message, HumanMessage):
            message_dict = {"role": "user", "content": message.content}
        elif isinstance(message, AIMessage):
            message_dict = {"role": "assistant", "content": message.content}
        else:
            raise TypeError(f"Got unknown type {message}")
        return message_dict