test_abatch_tags() — langchain Function Reference
Architecture documentation for the test_abatch_tags() function in test_chat_models.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD acff68b0_125c_af57_3bb1_db7debd34a07["test_abatch_tags()"] ec975712_a998_0a1f_0930_22940fc39a1e["test_chat_models.py"] acff68b0_125c_af57_3bb1_db7debd34a07 -->|defined in| ec975712_a998_0a1f_0930_22940fc39a1e style acff68b0_125c_af57_3bb1_db7debd34a07 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/fireworks/tests/integration_tests/test_chat_models.py lines 97–105
async def test_abatch_tags() -> None:
"""Test batch tokens from ChatFireworks."""
llm = ChatFireworks(model=_MODEL)
result = await llm.abatch(
["I'm Pickle Rick", "I'm not Pickle Rick"], config={"tags": ["foo"]}
)
for token in result:
assert isinstance(token.content, str)
Domain
Subdomains
Source
Frequently Asked Questions
What does test_abatch_tags() do?
test_abatch_tags() is a function in the langchain codebase, defined in libs/partners/fireworks/tests/integration_tests/test_chat_models.py.
Where is test_abatch_tags() defined?
test_abatch_tags() is defined in libs/partners/fireworks/tests/integration_tests/test_chat_models.py at line 97.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free