langchain Architecture Docs
Home / Function/ after_model() — langchain Function Reference

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
  190e97a6_7b83_e743_4580_fba6b4b805ca["after_model()"]
  693ba67e_ebac_c395_233e_8a268682a8a2["NoopFour"]
  190e97a6_7b83_e743_4580_fba6b4b805ca -->|defined in| 693ba67e_ebac_c395_233e_8a268682a8a2
  style 190e97a6_7b83_e743_4580_fba6b4b805ca fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_diagram.py lines 29–30

        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 29.

Analyze Your Own Codebase

Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.

Try Supermodel Free