input_keys() — langchain Function Reference
Architecture documentation for the input_keys() function in trajectory_eval_chain.py from the langchain codebase.
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Dependency Diagram
graph TD 74e7de63_4eca_4e6d_ef1b_798754a47678["input_keys()"] 9066f65c_c5a3_1534_5336_72609f4ff02b["TrajectoryEvalChain"] 74e7de63_4eca_4e6d_ef1b_798754a47678 -->|defined in| 9066f65c_c5a3_1534_5336_72609f4ff02b style 74e7de63_4eca_4e6d_ef1b_798754a47678 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/langchain/langchain_classic/evaluation/agents/trajectory_eval_chain.py lines 258–264
def input_keys(self) -> list[str]:
"""Get the input keys for the chain.
Returns:
The input keys.
"""
return ["question", "agent_trajectory", "answer", "reference"]
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Frequently Asked Questions
What does input_keys() do?
input_keys() is a function in the langchain codebase, defined in libs/langchain/langchain_classic/evaluation/agents/trajectory_eval_chain.py.
Where is input_keys() defined?
input_keys() is defined in libs/langchain/langchain_classic/evaluation/agents/trajectory_eval_chain.py at line 258.
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