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test: handle internal server errors
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3 changed files with 14 additions and 92 deletions
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@ -116,17 +116,19 @@ class BaseResponsesAPITest(ABC):
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litellm._turn_on_debug()
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litellm.set_verbose = True
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base_completion_call_args = self.get_base_completion_call_args()
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if sync_mode:
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response = litellm.responses(
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input="Basic ping", max_output_tokens=20,
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**base_completion_call_args
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)
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else:
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response = await litellm.aresponses(
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input="Basic ping", max_output_tokens=20,
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**base_completion_call_args
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)
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try:
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if sync_mode:
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response = litellm.responses(
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input="Basic ping", max_output_tokens=20,
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**base_completion_call_args
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)
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else:
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response = await litellm.aresponses(
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input="Basic ping", max_output_tokens=20,
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**base_completion_call_args
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)
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except litellm.InternalServerError:
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pytest.skip("Skipping test due to litellm.InternalServerError")
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print("litellm response=", json.dumps(response, indent=4, default=str))
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# Use the helper function to validate the response
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@ -800,83 +800,3 @@ async def test_watsonx_tool_choice(sync_mode):
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raise e
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@pytest.mark.asyncio
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async def test_function_calling_with_dbrx():
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from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
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client = AsyncHTTPHandler()
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with patch.object(client, "post", return_value=MagicMock()) as mock_completion:
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try:
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resp = await litellm.acompletion(
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model="databricks/databricks-dbrx-instruct",
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messages=[
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{
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"role": "system",
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"content": "You are a helpful customer support assistant. Use the supplied tools to assist the user.",
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},
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{
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"role": "user",
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"content": "Hi, can you tell me the delivery date for my order?",
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},
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{
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"role": "assistant",
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"content": "Hi there! I can help with that. Can you please provide your order ID?",
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},
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{
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"role": "user",
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"content": "i think it is order_12345, also what is the weather in Phoenix, AZ?",
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},
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],
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tools=[
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{
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"type": "function",
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"function": {
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"name": "get_delivery_date",
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"description": "Get the delivery date for a customer'''s order. Call this whenever you need to know the delivery date, for example when a customer asks '''Where is my package'''",
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"parameters": {
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"type": "object",
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"properties": {
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"order_id": {
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"type": "string",
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"description": "The customer'''s order ID.",
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}
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},
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"required": ["order_id"],
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"additionalProperties": False,
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},
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},
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},
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{
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"type": "function",
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"function": {
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"name": "check_weather",
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"description": "Check the current weather in a location. For example when asked: '''What is the temperature in San Fransisco, CA?'''",
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"parameters": {
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"type": "object",
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"properties": {
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"city": {
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"type": "string",
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"description": "The city to check the weather for.",
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},
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"state": {
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"type": "string",
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"description": "The state to check the weather for.",
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},
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},
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"required": ["city", "state"],
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"additionalProperties": False,
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},
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},
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},
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],
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client=client,
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tool_choice="auto",
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)
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except Exception as e:
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print(e)
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mock_completion.assert_called_once()
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print(mock_completion.call_args.kwargs)
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json_data = json.loads(mock_completion.call_args.kwargs["data"])
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assert "tools" in json_data
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assert "tool_choice" in json_data
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@ -1437,7 +1437,7 @@ def test_bedrock_claude_3_streaming():
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"claude-3-opus-20240229",
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"cohere.command-r-plus-v1:0", # bedrock
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"gpt-3.5-turbo",
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"databricks/databricks-dbrx-instruct", # databricks
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# "databricks/databricks-dbrx-instruct", # databricks
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"predibase/llama-3-8b-instruct", # predibase
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],
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)
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