_generate() — langchain Function Reference
Architecture documentation for the _generate() function in test_usage_callback.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 00fe7896_8436_bc21_a3e6_59b282eee809["_generate()"] 3d4d346c_7967_a045_7a1c_264f6c68447b["FakeChatModelWithResponseMetadata"] 00fe7896_8436_bc21_a3e6_59b282eee809 -->|defined in| 3d4d346c_7967_a045_7a1c_264f6c68447b style 00fe7896_8436_bc21_a3e6_59b282eee809 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/core/tests/unit_tests/callbacks/test_usage_callback.py lines 52–57
def _generate(self, *args: Any, **kwargs: Any) -> ChatResult:
result = super()._generate(*args, **kwargs)
result.generations[0].message.response_metadata = {
"model_name": self.model_name
}
return result
Domain
Subdomains
Source
Frequently Asked Questions
What does _generate() do?
_generate() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/callbacks/test_usage_callback.py.
Where is _generate() defined?
_generate() is defined in libs/core/tests/unit_tests/callbacks/test_usage_callback.py at line 52.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free