_documents_in_params() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase called by 2

Entity Profile

LangChainCore→ LanguageModelBase→ _documents_in_params() — langchain Function Reference

Dependency Diagram

graph TD
  56815eb0_82df_1181_dbf9_0d0e97e40514["_documents_in_params()"]
  a85819c7_917d_4c71_2864_a19e68947340["chat_models.py"]
  56815eb0_82df_1181_dbf9_0d0e97e40514 -->|defined in| a85819c7_917d_4c71_2864_a19e68947340
  d6746b81_ab7c_4b02_8921_f885e52e303e["_stream()"]
  d6746b81_ab7c_4b02_8921_f885e52e303e -->|calls| 56815eb0_82df_1181_dbf9_0d0e97e40514
  8028f890_4975_51cc_2409_45db9b39971a["_astream()"]
  8028f890_4975_51cc_2409_45db9b39971a -->|calls| 56815eb0_82df_1181_dbf9_0d0e97e40514
  style 56815eb0_82df_1181_dbf9_0d0e97e40514 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/anthropic/langchain_anthropic/chat_models.py lines 1864–1874

def _documents_in_params(params: dict) -> bool:
    for message in params.get("messages", []):
        if isinstance(message.get("content"), list):
            for block in message["content"]:
                if (
                    isinstance(block, dict)
                    and block.get("type") == "document"
                    and block.get("citations", {}).get("enabled")
                ):
                    return True
    return False