from_llm() — langchain Function Reference

Architecture documentation for the from_llm() function in fix.py from the langchain codebase.

Function python OutputParsing StreamingParsers

Entity Profile

OutputParsing→ StreamingParsers→ from_llm() — langchain Function Reference

Dependency Diagram

graph TD
  e8b37f13_4875_2483_ef9c_4da2cb52d654["from_llm()"]
  bb726abf_6b12_450e_860e_6efc5f620f19["OutputFixingParser"]
  e8b37f13_4875_2483_ef9c_4da2cb52d654 -->|defined in| bb726abf_6b12_450e_860e_6efc5f620f19
  style e8b37f13_4875_2483_ef9c_4da2cb52d654 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/output_parsers/fix.py lines 48–67

    def from_llm(
        cls,
        llm: Runnable,
        parser: BaseOutputParser[T],
        prompt: BasePromptTemplate = NAIVE_FIX_PROMPT,
        max_retries: int = 1,
    ) -> OutputFixingParser[T]:
        """Create an OutputFixingParser from a language model and a parser.

        Args:
            llm: llm to use for fixing
            parser: parser to use for parsing
            prompt: prompt to use for fixing
            max_retries: Maximum number of retries to parse.

        Returns:
            OutputFixingParser
        """
        chain = prompt | llm | StrOutputParser()
        return cls(parser=parser, retry_chain=chain, max_retries=max_retries)