test_invoke() — langchain Function Reference

Architecture documentation for the test_invoke() function in chat_models.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_invoke() — langchain Function Reference

Dependency Diagram

graph TD
  dfd2d350_eb9a_3683_a751_a827453effa8["test_invoke()"]
  971e928f_9c9b_ce7a_b93d_e762f2f5aa54["ChatModelIntegrationTests"]
  dfd2d350_eb9a_3683_a751_a827453effa8 -->|defined in| 971e928f_9c9b_ce7a_b93d_e762f2f5aa54
  style dfd2d350_eb9a_3683_a751_a827453effa8 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/standard-tests/langchain_tests/integration_tests/chat_models.py lines 746–768

    def test_invoke(self, model: BaseChatModel) -> None:
        """Test to verify that `model.invoke(simple_message)` works.

        This should pass for all integrations.

        ??? question "Troubleshooting"

            If this test fails, you should make sure your `_generate` method
            does not raise any exceptions, and that it returns a valid
            `langchain_core.outputs.chat_result.ChatResult` like so:

            ```python
            return ChatResult(
                generations=[ChatGeneration(message=AIMessage(content="Output text"))]
            )
            ```

        """
        result = model.invoke("Hello")
        assert result is not None
        assert isinstance(result, AIMessage)
        assert isinstance(result.text, str)
        assert len(result.content) > 0