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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
  70d724d8_6207_9de8_09e8_0d31b1d6ff93["after_model()"]
  cd730021_709e_c580_62ef_4d865f62bc1a["NoopEleven"]
  70d724d8_6207_9de8_09e8_0d31b1d6ff93 -->|defined in| cd730021_709e_c580_62ef_4d865f62bc1a
  style 70d724d8_6207_9de8_09e8_0d31b1d6ff93 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_diagram.py lines 86–87

        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 86.

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