NoStreamingModel Class — langchain Architecture

Architecture documentation for the NoStreamingModel class in test_base.py from the langchain codebase.

Class python

Entity Profile

Dependency Diagram

graph TD
  22e0bcf0_7794_65ab_0d0e_c3696c97310d["NoStreamingModel"]
  d009a608_c505_bd50_7200_0de8a69ba4b7["BaseChatModel"]
  22e0bcf0_7794_65ab_0d0e_c3696c97310d -->|extends| d009a608_c505_bd50_7200_0de8a69ba4b7
  8830054d_ac1e_daa9_c6c5_ff55b10d0bf3["test_base.py"]
  22e0bcf0_7794_65ab_0d0e_c3696c97310d -->|defined in| 8830054d_ac1e_daa9_c6c5_ff55b10d0bf3
  de653a48_fe81_e680_747c_8cbcded714b9["_generate()"]
  22e0bcf0_7794_65ab_0d0e_c3696c97310d -->|method| de653a48_fe81_e680_747c_8cbcded714b9
  75c6d4a5_2f2c_f28a_74cc_c62d79a5a42d["_llm_type()"]
  22e0bcf0_7794_65ab_0d0e_c3696c97310d -->|method| 75c6d4a5_2f2c_f28a_74cc_c62d79a5a42d

Relationship Graph

Source Code

libs/core/tests/unit_tests/language_models/chat_models/test_base.py lines 352–365

class NoStreamingModel(BaseChatModel):
    @override
    def _generate(
        self,
        messages: list[BaseMessage],
        stop: list[str] | None = None,
        run_manager: CallbackManagerForLLMRun | None = None,
        **kwargs: Any,
    ) -> ChatResult:
        return ChatResult(generations=[ChatGeneration(message=AIMessage("invoke"))])

    @property
    def _llm_type(self) -> str:
        return "model1"