chain() — langchain Function Reference
Architecture documentation for the chain() function in test_fallbacks.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 552a7e6a_d1f9_1ea8_1c20_b9324779691c["chain()"] d62d478e_a330_c328_7da4_58e88d780807["test_fallbacks.py"] 552a7e6a_d1f9_1ea8_1c20_b9324779691c -->|defined in| d62d478e_a330_c328_7da4_58e88d780807 style 552a7e6a_d1f9_1ea8_1c20_b9324779691c fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/core/tests/unit_tests/runnables/test_fallbacks.py lines 51–58
def chain() -> Runnable[Any, str]:
error_llm = FakeListLLM(responses=["foo"], i=1)
pass_llm = FakeListLLM(responses=["bar"])
prompt = PromptTemplate.from_template("what did baz say to {buz}")
return RunnableParallel({"buz": lambda x: x}) | (prompt | error_llm).with_fallbacks(
[prompt | pass_llm]
)
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Subdomains
Source
Frequently Asked Questions
What does chain() do?
chain() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/runnables/test_fallbacks.py.
Where is chain() defined?
chain() is defined in libs/core/tests/unit_tests/runnables/test_fallbacks.py at line 51.
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