intermediate_steps() — langchain Function Reference
Architecture documentation for the intermediate_steps() function in test_eval_chain.py from the langchain codebase.
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Dependency Diagram
graph TD d9083c44_f819_77cf_0060_647ba1fed26f["intermediate_steps()"] 1ff39fbd_e89b_6287_757b_009d26497b03["test_eval_chain.py"] d9083c44_f819_77cf_0060_647ba1fed26f -->|defined in| 1ff39fbd_e89b_6287_757b_009d26497b03 style d9083c44_f819_77cf_0060_647ba1fed26f fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/langchain/tests/unit_tests/evaluation/agents/test_eval_chain.py lines 23–33
def intermediate_steps() -> list[tuple[AgentAction, str]]:
return [
(
AgentAction(
tool="Foo",
tool_input="Bar",
log="Star date 2021-06-13: Foo received input: Bar",
),
"Baz",
),
]
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Frequently Asked Questions
What does intermediate_steps() do?
intermediate_steps() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/evaluation/agents/test_eval_chain.py.
Where is intermediate_steps() defined?
intermediate_steps() is defined in libs/langchain/tests/unit_tests/evaluation/agents/test_eval_chain.py at line 23.
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