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Fix broken test_unified_function_calling_anthropic due to use of an unsupported/deprecated model.

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Update the tests in test_integration_unified_function_calling.py to not specify particular models but instead just use service defaults (the tests shouldn't be model-dependent anyway)
This commit is contained in:
Paul Kompfner
2026-03-09 12:07:18 -04:00
parent 0c5e936aa5
commit 9423d22051
1 changed files with 2 additions and 4 deletions
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6
tests/integration/test_integration_unified_function_calling.py
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@@ -88,7 +88,7 @@ async def test_unified_function_calling_openai():
@pytest.mark.skipif(os.getenv("GOOGLE_API_KEY") is None, reason="GOOGLE_API_KEY is not set")
@pytest.mark.asyncio
async def test_unified_function_calling_gemini():
llm = GoogleLLMService(api_key=os.getenv("GOOGLE_API_KEY"), model="gemini-2.0-flash-001")
llm = GoogleLLMService(api_key=os.getenv("GOOGLE_API_KEY"))
# This will fail if an exception is raised
await _test_llm_function_calling(llm)
@@ -96,8 +96,6 @@ async def test_unified_function_calling_gemini():
@pytest.mark.skipif(os.getenv("ANTHROPIC_API_KEY") is None, reason="ANTHROPIC_API_KEY is not set")
@pytest.mark.asyncio
async def test_unified_function_calling_anthropic():
llm = AnthropicLLMService(
api_key=os.getenv("ANTHROPIC_API_KEY"), model="claude-3-5-sonnet-20240620"
)
llm = AnthropicLLMService(api_key=os.getenv("ANTHROPIC_API_KEY"))
# This will fail if an exception is raised
await _test_llm_function_calling(llm)