_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
  b0935afc_11dc_d98f_c5bb_d116c6ed3f61["_combine_llm_outputs()"]
  1a5cd25a_9420_c6b2_ec8d_2b53c6427514["ChatFireworks"]
  b0935afc_11dc_d98f_c5bb_d116c6ed3f61 -->|defined in| 1a5cd25a_9420_c6b2_ec8d_2b53c6427514
  style b0935afc_11dc_d98f_c5bb_d116c6ed3f61 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/fireworks/langchain_fireworks/chat_models.py lines 462–481

    def _combine_llm_outputs(self, llm_outputs: list[dict | None]) -> dict:
        overall_token_usage: dict = {}
        system_fingerprint = None
        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
            if system_fingerprint is None:
                system_fingerprint = output.get("system_fingerprint")
        combined = {"token_usage": overall_token_usage, "model_name": self.model_name}
        if system_fingerprint:
            combined["system_fingerprint"] = system_fingerprint
        return combined