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_get_prompt() — langchain Function Reference

Architecture documentation for the _get_prompt() function in runner_utils.py from the langchain codebase.

Function python LangChainCore Runnables called by 3

Entity Profile

Dependency Diagram

graph TD
  cb0a59f9_bf61_2368_e170_04f16da99179["_get_prompt()"]
  8253c602_7d0c_9195_a7e1_3e9b19304131["runner_utils.py"]
  cb0a59f9_bf61_2368_e170_04f16da99179 -->|defined in| 8253c602_7d0c_9195_a7e1_3e9b19304131
  6e6ec2d6_6138_30d5_cc46_459846fde288["_validate_example_inputs_for_language_model()"]
  6e6ec2d6_6138_30d5_cc46_459846fde288 -->|calls| cb0a59f9_bf61_2368_e170_04f16da99179
  5dad9d8a_ecf9_b785_9a01_d927f6bea73e["_arun_llm()"]
  5dad9d8a_ecf9_b785_9a01_d927f6bea73e -->|calls| cb0a59f9_bf61_2368_e170_04f16da99179
  916eedb8_7d10_72b9_9829_105f8ada65ab["_run_llm()"]
  916eedb8_7d10_72b9_9829_105f8ada65ab -->|calls| cb0a59f9_bf61_2368_e170_04f16da99179
  style cb0a59f9_bf61_2368_e170_04f16da99179 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/smith/evaluation/runner_utils.py lines 247–294

def _get_prompt(inputs: dict[str, Any]) -> str:
    """Get prompt from inputs.

    Args:
        inputs: The input dictionary.

    Returns:
        A string prompt.

    Raises:
        InputFormatError: If the input format is invalid.
    """
    if not inputs:
        msg = "Inputs should not be empty."
        raise InputFormatError(msg)

    prompts = []
    if "prompt" in inputs:
        if not isinstance(inputs["prompt"], str):
            msg = f"Expected string for 'prompt', got {type(inputs['prompt']).__name__}"
            raise InputFormatError(msg)
        prompts = [inputs["prompt"]]
    elif "prompts" in inputs:
        if not isinstance(inputs["prompts"], list) or not all(
            isinstance(i, str) for i in inputs["prompts"]
        ):
            msg = (
                "Expected list of strings for 'prompts',"
                f" got {type(inputs['prompts']).__name__}"
            )
            raise InputFormatError(msg)
        prompts = inputs["prompts"]
    elif len(inputs) == 1:
        prompt_ = next(iter(inputs.values()))
        if isinstance(prompt_, str):
            prompts = [prompt_]
        elif isinstance(prompt_, list) and all(isinstance(i, str) for i in prompt_):
            prompts = prompt_
        else:
            msg = f"LLM Run expects string prompt input. Got {inputs}"
            raise InputFormatError(msg)
    else:
        msg = f"LLM Run expects 'prompt' or 'prompts' in inputs. Got {inputs}"
        raise InputFormatError(msg)
    if len(prompts) == 1:
        return prompts[0]
    msg = f"LLM Run expects single prompt input. Got {len(prompts)} prompts."
    raise InputFormatError(msg)

Domain

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Defined In

Called By

Source

Frequently Asked Questions

What does _get_prompt() do?
_get_prompt() is a function in the langchain codebase, defined in libs/langchain/langchain_classic/smith/evaluation/runner_utils.py.
Where is _get_prompt() defined?
_get_prompt() is defined in libs/langchain/langchain_classic/smith/evaluation/runner_utils.py at line 247.
What calls _get_prompt()?
_get_prompt() is called by 3 function(s): _arun_llm, _run_llm, _validate_example_inputs_for_language_model.

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