test_model_profiles() — langchain Function Reference
Architecture documentation for the test_model_profiles() function in test_base.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD f3e8114c_c294_cb78_a3b5_731cebf25ca7["test_model_profiles()"] 8cb88ac4_61d9_baf3_9df4_9b3f5095927e["test_base.py"] f3e8114c_c294_cb78_a3b5_731cebf25ca7 -->|defined in| 8cb88ac4_61d9_baf3_9df4_9b3f5095927e style f3e8114c_c294_cb78_a3b5_731cebf25ca7 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/core/tests/unit_tests/language_models/chat_models/test_base.py lines 1216–1223
def test_model_profiles() -> None:
model = GenericFakeChatModel(messages=iter([]))
assert model.profile is None
model_with_profile = GenericFakeChatModel(
messages=iter([]), profile={"max_input_tokens": 100}
)
assert model_with_profile.profile == {"max_input_tokens": 100}
Domain
Subdomains
Source
Frequently Asked Questions
What does test_model_profiles() do?
test_model_profiles() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/language_models/chat_models/test_base.py.
Where is test_model_profiles() defined?
test_model_profiles() is defined in libs/core/tests/unit_tests/language_models/chat_models/test_base.py at line 1216.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free