Tracing client error 401: {
  "error": {
    "message": "Incorrect API key provided: AIzaSyAe***************************o4jk.",
    ...
}

2025/05/12 11:39:52 WARNING mlflow.openai._openai_autolog: Encountered unexpected error when ending trace: 'NotGiven' object is not iterable
Traceback (most recent call last):
  File ".../mlflow/openai/_openai_autolog.py", line 352, in _end_span_on_success
    set_span_chat_attributes(span, inputs, result)
  File ".../mlflow/openai/utils/chat_schema.py", line 46, in set_span_chat_attributes
    if tools := _parse_tools(inputs):
  File ".../mlflow/openai/utils/chat_schema.py", line 261, in _parse_tools
    for tool in tools:
TypeError: 'NotGiven' object is not iterable

import asyncio

import mlflow
from agents import Agent, OpenAIChatCompletionsModel, Runner
from agents.model_settings import ModelSettings
from openai import AsyncOpenAI
from agents import set_default_openai_client, set_tracing_disabled, set_trace_processors


external_client = AsyncOpenAI(
    base_url="http://localhost:11434/v1",
    api_key="ollama",  # required, but unused
)

# Enable auto tracing for OpenAI Agents SDK
mlflow.openai.autolog()

# Optional: Set a tracking URI and an experiment
mlflow.set_tracking_uri("http://localhost:8080")
mlflow.set_experiment("OpenAI Agent")
set_trace_processors([])

# Define a simple multi-agent workflow
vietnamese_agent = Agent(
    name="Vietnamese agent",
    instructions="You only speak Vietnamese.",
    model=OpenAIChatCompletionsModel(
        model="qwen3:0.6b",
        openai_client=external_client,
    ),
)

english_agent = Agent(
    name="English agent",
    instructions="You only speak English",
    model=OpenAIChatCompletionsModel(
        model="qwen3:0.6b",
        openai_client=external_client,
    ),
)

triage_agent = Agent(
    name="Triage agent",
    instructions="Handoff to the appropriate agent based on the language of the request.",
    handoffs=[vietnamese_agent, english_agent],
    model=OpenAIChatCompletionsModel(
        model="qwen3:0.6b",
        openai_client=external_client,
    ),
)


async def main():
    result = await Runner.run(triage_agent, input="Xin chào, bạn có khỏe không?")
    print(result.final_output)


# If you are running this code in a Jupyter notebook, replace this with `await main()`.
if __name__ == "__main__":
    asyncio.run(main())

python tracing_example.py 
INFO:httpx:HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK"
INFO:httpx:HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK"
2025/05/12 11:39:52 WARNING mlflow.openai._openai_autolog: Encountered unexpected error when ending trace: 'NotGiven' object is not iterable
Traceback (most recent call last):
  File "/home/namdv/anaconda3/envs/chatbot/lib/python3.10/site-packages/mlflow/openai/_openai_autolog.py", line 352, in _end_span_on_success
    set_span_chat_attributes(span, inputs, result)
  File "/home/namdv/anaconda3/envs/chatbot/lib/python3.10/site-packages/mlflow/openai/utils/chat_schema.py", line 46, in set_span_chat_attributes
    if tools := _parse_tools(inputs):
  File "/home/namdv/anaconda3/envs/chatbot/lib/python3.10/site-packages/mlflow/openai/utils/chat_schema.py", line 261, in _parse_tools
    for tool in tools:
TypeError: 'NotGiven' object is not iterable
<think>
Okay, the user sent a greeting in Vietnamese. I need to respond in Vietnamese. Let me check the previous messages again. The user asked, "Xin chào, bạn có khỏe không?" which translates to "Hello, are you healthy?" in Vietnamese. My role is to keep Vietnamese. So, I should respond in Vietnamese as well. Make sure the answer is polite and friendly. Maybe say something like "Hello! Are you healthy?" and offer a response. Keep it simple.
</think>

Xin chào! Bạn có khỏe không? 😊