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after_model() — langchain Function Reference

Architecture documentation for the after_model() function in test_diagram.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

Dependency Diagram

graph TD
  0dedcadd_0dc7_a5ec_0ebf_98c6cfe1d31e["after_model()"]
  351dc0b4_41bd_4326_a126_a02404b04331["NoopSix"]
  0dedcadd_0dc7_a5ec_0ebf_98c6cfe1d31e -->|defined in| 351dc0b4_41bd_4326_a126_a02404b04331
  style 0dedcadd_0dc7_a5ec_0ebf_98c6cfe1d31e fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_diagram.py lines 37–38

        def after_model(self, state: AgentState[Any], runtime: Runtime[None]) -> None:
            pass

Domain

Subdomains

Defined In

Source

Frequently Asked Questions

What does after_model() do?
after_model() is a function in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_diagram.py.
Where is after_model() defined?
after_model() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_diagram.py at line 37.

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