after_model() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase called by 1

Entity Profile

LangChainCore→ LanguageModelBase→ after_model() — langchain Function Reference

Dependency Diagram

graph TD
  e50fdb36_ee70_53c9_2dea_eac2952227d3["after_model()"]
  b33b7e95_8cbe_3b00_6fa1_08add218b8fb["TestMiddleware"]
  e50fdb36_ee70_53c9_2dea_eac2952227d3 -->|defined in| b33b7e95_8cbe_3b00_6fa1_08add218b8fb
  d22a3b62_c720_71e5_3b39_91b2c6093b93["test_tool_runtime_with_middleware()"]
  d22a3b62_c720_71e5_3b39_91b2c6093b93 -->|calls| e50fdb36_ee70_53c9_2dea_eac2952227d3
  style e50fdb36_ee70_53c9_2dea_eac2952227d3 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/test_injected_runtime_create_agent.py lines 474–476

        def after_model(self, state: AgentState[Any], runtime: Runtime) -> dict[str, Any]:
            middleware_calls.append("after_model")
            return {}