alookup() — langchain Function Reference

Architecture documentation for the alookup() function in caches.py from the langchain codebase.

Function python LangChainCore ApiManagement calls 1 called by 1

Entity Profile

LangChainCore→ ApiManagement→ alookup() — langchain Function Reference

Dependency Diagram

graph TD
  d614c929_be96_c8bb_6d78_ec73dc3a9a95["alookup()"]
  374b7b0c_f4fd_ba00_b93d_1a3cbb3b05cb["BaseCache"]
  d614c929_be96_c8bb_6d78_ec73dc3a9a95 -->|defined in| 374b7b0c_f4fd_ba00_b93d_1a3cbb3b05cb
  b409a2c7_b52c_d41d_bd46_dd9bf497c6c2["alookup()"]
  b409a2c7_b52c_d41d_bd46_dd9bf497c6c2 -->|calls| d614c929_be96_c8bb_6d78_ec73dc3a9a95
  b409a2c7_b52c_d41d_bd46_dd9bf497c6c2["alookup()"]
  d614c929_be96_c8bb_6d78_ec73dc3a9a95 -->|calls| b409a2c7_b52c_d41d_bd46_dd9bf497c6c2
  style d614c929_be96_c8bb_6d78_ec73dc3a9a95 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/caches.py lines 100–123

    async def alookup(self, prompt: str, llm_string: str) -> RETURN_VAL_TYPE | None:
        """Async look up based on `prompt` and `llm_string`.

        A cache implementation is expected to generate a key from the 2-tuple
        of `prompt` and `llm_string` (e.g., by concatenating them with a delimiter).

        Args:
            prompt: A string representation of the prompt.

                In the case of a chat model, the prompt is a non-trivial
                serialization of the prompt into the language model.
            llm_string: A string representation of the LLM configuration.

                This is used to capture the invocation parameters of the LLM
                (e.g., model name, temperature, stop tokens, max tokens, etc.).

                These invocation parameters are serialized into a string
                representation.

        Returns:
            On a cache miss, return `None`. On a cache hit, return the cached value.
                The cached value is a list of `Generation` (or subclasses).
        """
        return await run_in_executor(None, self.lookup, prompt, llm_string)