forked from phoenix/litellm-mirror
fix(utils.py): return function call as part of response object
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a4c9e6bd46
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5 changed files with 52 additions and 87 deletions
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@ -257,10 +257,11 @@ def test_acompletion_on_router():
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traceback.print_exc()
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pytest.fail(f"Error occurred: {e}")
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test_acompletion_on_router()
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# test_acompletion_on_router()
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def test_function_calling_on_router():
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try:
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litellm.set_verbose = True
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model_list = [
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{
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"model_name": "gpt-3.5-turbo",
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@ -293,22 +294,30 @@ def test_function_calling_on_router():
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redis_password=os.getenv("REDIS_PASSWORD"),
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redis_port=os.getenv("REDIS_PORT")
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)
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async def get_response():
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messages=[
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messages=[
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{
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"role": "user",
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"content": "what's the weather in boston"
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}
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],
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response1 = await router.acompletion(model="gpt-3.5-turbo", messages=messages, functions=function1)
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print(f"response1: {response1}")
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return response
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response = asyncio.run(get_response())
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assert isinstance(response["choices"][0]["message"]["content"]["function_call"], str)
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]
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response = router.completion(model="gpt-3.5-turbo", messages=messages, functions=function1)
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print(f"final returned response: {response}")
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# async def get_response():
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# messages=[
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# {
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# "role": "user",
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# "content": "what's the weather in boston"
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# }
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# ],
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# response1 = await router.acompletion(model="gpt-3.5-turbo", messages=messages, functions=function1)
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# print(f"response1: {response1}")
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# return response
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# response = asyncio.run(get_response())
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assert isinstance(response["choices"][0]["message"]["function_call"], dict)
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except Exception as e:
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print(f"An exception occurred: {e}")
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# test_function_calling_on_router()
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test_function_calling_on_router()
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def test_aembedding_on_router():
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try:
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