_generate() — langchain Function Reference
Architecture documentation for the _generate() function in test_summarization.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 99a60ddf_8261_cef9_f6f0_b3bf3ea93af8["_generate()"] d8b1892c_2c0d_d0c9_8c22_abc0a6e5c0a1["MockModel"] 99a60ddf_8261_cef9_f6f0_b3bf3ea93af8 -->|defined in| d8b1892c_2c0d_d0c9_8c22_abc0a6e5c0a1 style 99a60ddf_8261_cef9_f6f0_b3bf3ea93af8 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py lines 473–480
def _generate(
self,
messages: list[BaseMessage],
stop: list[str] | None = None,
run_manager: CallbackManagerForLLMRun | None = None,
**kwargs: Any,
) -> ChatResult:
return ChatResult(generations=[ChatGeneration(message=AIMessage(content="Blep"))])
Domain
Subdomains
Defined In
Source
Frequently Asked Questions
What does _generate() do?
_generate() is a function in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py.
Where is _generate() defined?
_generate() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py at line 473.
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