_invocation_params() — langchain Function Reference
Architecture documentation for the _invocation_params() function in azure.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 83ab336a_5850_6a02_5fb3_550d7371960b["_invocation_params()"] fc5b1a22_84a3_78a2_1034_9e66c56cf562["AzureOpenAI"] 83ab336a_5850_6a02_5fb3_550d7371960b -->|defined in| fc5b1a22_84a3_78a2_1034_9e66c56cf562 style 83ab336a_5850_6a02_5fb3_550d7371960b fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/openai/langchain_openai/llms/azure.py lines 206–208
def _invocation_params(self) -> dict[str, Any]:
openai_params = {"model": self.deployment_name}
return {**openai_params, **super()._invocation_params}
Domain
Subdomains
Source
Frequently Asked Questions
What does _invocation_params() do?
_invocation_params() is a function in the langchain codebase, defined in libs/partners/openai/langchain_openai/llms/azure.py.
Where is _invocation_params() defined?
_invocation_params() is defined in libs/partners/openai/langchain_openai/llms/azure.py at line 206.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free