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Observability for Qianfan with Opik

Baidu Qianfan provides OpenAI-compatible API endpoints for hosted model access. This guide shows how to use the OpenAI SDK with Opik to trace and evaluate Qianfan calls.

First, ensure you have both opik and openai packages installed:

Bash
pip install opik openai

You will need a Qianfan API key and an OpenAI-compatible base URL. The Qianfan OpenAI-compatible base URL is:

https://api.baiduqianfan.ai/v1

Refer to the Qianfan documentation for the latest setup steps and model list.

Python
from opik.integrations.openai import track_openai
from openai import OpenAI

# Initialize the OpenAI client with your Qianfan base URL
client = OpenAI(
    base_url="https://api.baiduqianfan.ai/v1",
    api_key="bce-v3/ALTAK-XXXXXXXX/XXXXXXXXXXXXXXXX",  # Qianfan bearer token
    default_headers={"appid": "app-xxxxxx"}  # Optional Qianfan appid
)
client = track_openai(client)

response = client.chat.completions.create(
    model="ernie-4.0-turbo-8k",  # Use a model name from Qianfan
    messages=[
        {"role": "user", "content": "Hello, world!"}
    ],
    temperature=0.7,
    max_tokens=100
)

print(response.choices[0].message.content)

You can combine the tracked client with Opik's @track decorator for end-to-end tracing:

Python
from opik import track
from opik.integrations.openai import track_openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.baiduqianfan.ai/v1",
    api_key="bce-v3/ALTAK-XXXXXXXX/XXXXXXXXXXXXXXXX",  # Qianfan bearer token
    default_headers={"appid": "app-xxxxxx"}  # Optional Qianfan appid
)
client = track_openai(client)

@track
def summarize_report(text: str) -> str:
    response = client.chat.completions.create(
        model="ernie-4.0-turbo-8k",
        messages=[
            {"role": "user", "content": text}
        ]
    )

    return response.choices[0].message.content

summary = summarize_report("Summarize this report in 3 bullets.")
print(summary)
  1. Authentication Errors: Confirm your API key is valid and has access to Qianfan
  2. Model Not Found: Verify the model name matches one available in Qianfan
  3. Base URL Issues: Ensure you are using the OpenAI-compatible endpoint from Qianfan

Once you have Qianfan integrated with Opik, you can:

For more information about OpenAI-compatible APIs, see the OpenAI integration guide.

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