forked from phoenix/litellm-mirror
test: update test to handle model overloaded error
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1 changed files with 16 additions and 13 deletions
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@ -4490,19 +4490,22 @@ async def test_dynamic_azure_params(stream, sync_mode):
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@pytest.mark.flaky(retries=3, delay=1)
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async def test_completion_ai21_chat():
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litellm.set_verbose = True
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response = await litellm.acompletion(
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model="jamba-1.5-large",
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user="ishaan",
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tool_choice="auto",
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seed=123,
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messages=[{"role": "user", "content": "what does the document say"}],
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documents=[
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{
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"content": "hello world",
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"metadata": {"source": "google", "author": "ishaan"},
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}
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],
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)
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try:
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response = await litellm.acompletion(
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model="jamba-1.5-large",
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user="ishaan",
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tool_choice="auto",
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seed=123,
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messages=[{"role": "user", "content": "what does the document say"}],
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documents=[
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{
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"content": "hello world",
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"metadata": {"source": "google", "author": "ishaan"},
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}
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],
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)
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except litellm.InternalServerError:
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pytest.skip("Model is overloaded")
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@pytest.mark.parametrize(
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