_combine_llm_outputs() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ _combine_llm_outputs() — langchain Function Reference

Dependency Diagram

graph TD
  22bc90b2_a842_48e1_fb55_124730d80c06["_combine_llm_outputs()"]
  24cf3ac3_ed46_66ab_27f4_5b5d67f0b7f0["ChatMistralAI"]
  22bc90b2_a842_48e1_fb55_124730d80c06 -->|defined in| 24cf3ac3_ed46_66ab_27f4_5b5d67f0b7f0
  style 22bc90b2_a842_48e1_fb55_124730d80c06 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/mistralai/langchain_mistralai/chat_models.py lines 585–598

    def _combine_llm_outputs(self, llm_outputs: list[dict | None]) -> dict:
        overall_token_usage: dict = {}
        for output in llm_outputs:
            if output is None:
                # Happens in streaming
                continue
            token_usage = output["token_usage"]
            if token_usage is not None:
                for k, v in token_usage.items():
                    if k in overall_token_usage:
                        overall_token_usage[k] += v
                    else:
                        overall_token_usage[k] = v
        return {"token_usage": overall_token_usage, "model_name": self.model}