_create_chat_result() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase calls 1 called by 2

Entity Profile

LangChainCore→ LanguageModelBase→ _create_chat_result() — langchain Function Reference

Dependency Diagram

graph TD
  6cdbf47d_ba54_e03d_a2e2_0ea218fadd33["_create_chat_result()"]
  24cf3ac3_ed46_66ab_27f4_5b5d67f0b7f0["ChatMistralAI"]
  6cdbf47d_ba54_e03d_a2e2_0ea218fadd33 -->|defined in| 24cf3ac3_ed46_66ab_27f4_5b5d67f0b7f0
  c1f04843_2b34_321d_f754_b18729e7e176["_generate()"]
  c1f04843_2b34_321d_f754_b18729e7e176 -->|calls| 6cdbf47d_ba54_e03d_a2e2_0ea218fadd33
  bffb747f_7e93_8a24_7256_48674e68bd78["_agenerate()"]
  bffb747f_7e93_8a24_7256_48674e68bd78 -->|calls| 6cdbf47d_ba54_e03d_a2e2_0ea218fadd33
  4ae796f3_636f_9e57_c6e2_604b286b3ef4["_convert_mistral_chat_message_to_message()"]
  6cdbf47d_ba54_e03d_a2e2_0ea218fadd33 -->|calls| 4ae796f3_636f_9e57_c6e2_604b286b3ef4
  style 6cdbf47d_ba54_e03d_a2e2_0ea218fadd33 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/mistralai/langchain_mistralai/chat_models.py lines 671–694

    def _create_chat_result(self, response: dict) -> ChatResult:
        generations = []
        token_usage = response.get("usage", {})
        for res in response["choices"]:
            finish_reason = res.get("finish_reason")
            message = _convert_mistral_chat_message_to_message(res["message"])
            if token_usage and isinstance(message, AIMessage):
                message.usage_metadata = {
                    "input_tokens": token_usage.get("prompt_tokens", 0),
                    "output_tokens": token_usage.get("completion_tokens", 0),
                    "total_tokens": token_usage.get("total_tokens", 0),
                }
            gen = ChatGeneration(
                message=message,
                generation_info={"finish_reason": finish_reason},
            )
            generations.append(gen)

        llm_output = {
            "token_usage": token_usage,
            "model_name": self.model,
            "model": self.model,  # Backwards compatibility
        }
        return ChatResult(generations=generations, llm_output=llm_output)