init_from_env_params() — langchain Function Reference
Architecture documentation for the init_from_env_params() function in test_chat_models_standard.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD b07bc58a_d9ee_2278_3393_f57ce0b77efb["init_from_env_params()"] 08461e1f_e401_42de_3ceb_a86ca4b7cbaa["TestXAIStandard"] b07bc58a_d9ee_2278_3393_f57ce0b77efb -->|defined in| 08461e1f_e401_42de_3ceb_a86ca4b7cbaa style b07bc58a_d9ee_2278_3393_f57ce0b77efb fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/xai/tests/unit_tests/test_chat_models_standard.py lines 23–35
def init_from_env_params(self) -> tuple[dict, dict, dict]:
return (
{
"XAI_API_KEY": "api_key",
},
{
"model": MODEL_NAME,
},
{
"xai_api_key": "api_key",
"xai_api_base": "https://api.x.ai/v1/",
},
)
Domain
Subdomains
Source
Frequently Asked Questions
What does init_from_env_params() do?
init_from_env_params() is a function in the langchain codebase, defined in libs/partners/xai/tests/unit_tests/test_chat_models_standard.py.
Where is init_from_env_params() defined?
init_from_env_params() is defined in libs/partners/xai/tests/unit_tests/test_chat_models_standard.py at line 23.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free