Home / File/ test_responses_standard.py — langchain Source File

test_responses_standard.py — langchain Source File

Architecture documentation for test_responses_standard.py, a python file in the langchain codebase. 3 imports, 0 dependents.

Entity Profile

Dependency Diagram

graph LR
  050efc93_e6fb_1d3c_14cc_c63cf2f909da["test_responses_standard.py"]
  e929cf21_6ab8_6ff3_3765_0d35a099a053["langchain_core.language_models"]
  050efc93_e6fb_1d3c_14cc_c63cf2f909da --> e929cf21_6ab8_6ff3_3765_0d35a099a053
  3a16c96e_2b20_1092_e102_d9bfb77da65e["langchain_tests.unit_tests"]
  050efc93_e6fb_1d3c_14cc_c63cf2f909da --> 3a16c96e_2b20_1092_e102_d9bfb77da65e
  2cad93e6_586a_5d28_a74d_4ec6fd4d2227["langchain_openai"]
  050efc93_e6fb_1d3c_14cc_c63cf2f909da --> 2cad93e6_586a_5d28_a74d_4ec6fd4d2227
  style 050efc93_e6fb_1d3c_14cc_c63cf2f909da fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

"""Standard LangChain interface tests"""

from langchain_core.language_models import BaseChatModel
from langchain_tests.unit_tests import ChatModelUnitTests

from langchain_openai import ChatOpenAI


class TestOpenAIResponses(ChatModelUnitTests):
    @property
    def chat_model_class(self) -> type[BaseChatModel]:
        return ChatOpenAI

    @property
    def chat_model_params(self) -> dict:
        return {"use_responses_api": True}

    @property
    def init_from_env_params(self) -> tuple[dict, dict, dict]:
        return (
            {
                "OPENAI_API_KEY": "api_key",
                "OPENAI_ORG_ID": "org_id",
                "OPENAI_API_BASE": "api_base",
                "OPENAI_PROXY": "https://proxy.com",
            },
            {},
            {
                "openai_api_key": "api_key",
                "openai_organization": "org_id",
                "openai_api_base": "api_base",
                "openai_proxy": "https://proxy.com",
            },
        )

Domain

Subdomains

Dependencies

  • langchain_core.language_models
  • langchain_openai
  • langchain_tests.unit_tests

Frequently Asked Questions

What does test_responses_standard.py do?
test_responses_standard.py is a source file in the langchain codebase, written in python. It belongs to the LangChainCore domain, LanguageModelBase subdomain.
What does test_responses_standard.py depend on?
test_responses_standard.py imports 3 module(s): langchain_core.language_models, langchain_openai, langchain_tests.unit_tests.
Where is test_responses_standard.py in the architecture?
test_responses_standard.py is located at libs/partners/openai/tests/unit_tests/chat_models/test_responses_standard.py (domain: LangChainCore, subdomain: LanguageModelBase, directory: libs/partners/openai/tests/unit_tests/chat_models).

Analyze Your Own Codebase

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

Try Supermodel Free