forked from phoenix/litellm-mirror
test(test_amazing_vertex_completion.py): reduce vertex tests - quota exhaustion
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1 changed files with 0 additions and 42 deletions
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@ -1111,48 +1111,6 @@ async def test_gemini_pro_httpx_custom_api_base(provider):
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assert "hello" in mock_call.call_args.kwargs["headers"]
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@pytest.mark.parametrize("sync_mode", [True, False])
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@pytest.mark.parametrize("provider", ["vertex_ai_beta"]) # "vertex_ai",
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@pytest.mark.asyncio
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async def test_gemini_pro_httpx_custom_api_base_streaming_real_call(
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provider, sync_mode
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):
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load_vertex_ai_credentials()
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import random
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litellm.set_verbose = True
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messages = [
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{
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"role": "user",
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"content": "Hey, how's it going?",
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}
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]
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vertex_region = random.sample(["asia-southeast1", "us-central1"], k=1)[0]
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if sync_mode is True:
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response = completion(
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model="vertex_ai_beta/gemini-1.5-flash",
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messages=messages,
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api_base="https://gateway.ai.cloudflare.com/v1/fa4cdcab1f32b95ca3b53fd36043d691/test/google-vertex-ai/v1/projects/adroit-crow-413218/locations/us-central1/publishers/google/models/gemini-1.5-flash",
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stream=True,
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vertex_region=vertex_region,
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)
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for chunk in response:
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print(chunk)
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else:
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response = await litellm.acompletion(
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model="vertex_ai_beta/gemini-1.5-flash",
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messages=messages,
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api_base="https://gateway.ai.cloudflare.com/v1/fa4cdcab1f32b95ca3b53fd36043d691/test/google-vertex-ai/v1/projects/adroit-crow-413218/locations/us-central1/publishers/google/models/gemini-1.5-flash",
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stream=True,
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vertex_region=vertex_region,
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)
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async for chunk in response:
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print(chunk)
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@pytest.mark.skip(reason="exhausted vertex quota. need to refactor to mock the call")
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@pytest.mark.parametrize("sync_mode", [True])
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@pytest.mark.parametrize("provider", ["vertex_ai"])
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