Home / Function/ test_bind_tools_with_strict_mode_uses_beta_endpoint() — langchain Function Reference

test_bind_tools_with_strict_mode_uses_beta_endpoint() — langchain Function Reference

Architecture documentation for the test_bind_tools_with_strict_mode_uses_beta_endpoint() function in test_chat_models.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  a2aaaacb_b7a1_a3b7_49a5_a148639d3607["test_bind_tools_with_strict_mode_uses_beta_endpoint()"]
  9e1e7e05_fcb9_6888_687f_284ccfd65fd2["TestChatDeepSeekStrictMode"]
  a2aaaacb_b7a1_a3b7_49a5_a148639d3607 -->|defined in| 9e1e7e05_fcb9_6888_687f_284ccfd65fd2
  style a2aaaacb_b7a1_a3b7_49a5_a148639d3607 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/deepseek/tests/unit_tests/test_chat_models.py lines 262–278

    def test_bind_tools_with_strict_mode_uses_beta_endpoint(self) -> None:
        """Test that bind_tools with strict=True uses the beta endpoint."""
        llm = ChatDeepSeek(
            model="deepseek-chat",
            api_key=SecretStr("test_key"),
        )

        # Verify default endpoint
        assert llm.api_base == DEFAULT_API_BASE

        # Bind tools with strict=True
        bound_model = llm.bind_tools([SampleTool], strict=True)

        # The bound model should have its internal model using beta endpoint
        # We can't directly access the internal model, but we can verify the behavior
        # by checking that the binding operation succeeds
        assert bound_model is not None

Domain

Subdomains

Frequently Asked Questions

What does test_bind_tools_with_strict_mode_uses_beta_endpoint() do?
test_bind_tools_with_strict_mode_uses_beta_endpoint() is a function in the langchain codebase, defined in libs/partners/deepseek/tests/unit_tests/test_chat_models.py.
Where is test_bind_tools_with_strict_mode_uses_beta_endpoint() defined?
test_bind_tools_with_strict_mode_uses_beta_endpoint() is defined in libs/partners/deepseek/tests/unit_tests/test_chat_models.py at line 262.

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