Qwen

Qwen models are available through Alibaba Cloud Model Studio, which provides an OpenAI-compatible API mode. Configure the OpenAI Python client with your Model Studio endpoint and use openinference-instrumentation-openai to capture spans in Arize AX.

This page instruments OpenAI SDK calls to Alibaba Cloud Model Studio’s OpenAI-compatible endpoint. It is not a separate Qwen-specific OpenInference instrumentor.

Prerequisites

Python 3.9+
An Arize AX account (sign up)
A DashScope or Alibaba Cloud Model Studio API key
The OpenAI-compatible base URL for your Model Studio region or workspace

Launch Arize

Sign in to your Arize AX account.
From Space Settings, copy your Space ID and API Key. You will set them as ARIZE_SPACE_ID and ARIZE_API_KEY below.

Install

pip install arize-otel openinference-instrumentation-openai openai

Configure credentials

export ARIZE_SPACE_ID="<your-space-id>"
export ARIZE_API_KEY="<your-api-key>"
export ARIZE_PROJECT_NAME="qwen-tracing-example"
export DASHSCOPE_API_KEY="<your-dashscope-api-key>"
export QWEN_BASE_URL="https://dashscope-intl.aliyuncs.com/compatible-mode/v1"

Alibaba Cloud may provide a workspace-specific or regional compatible-mode endpoint. Replace QWEN_BASE_URL with the endpoint shown in your Model Studio console if it differs.

Setup tracing

# instrumentation.py
import os

from arize.otel import register
from openinference.instrumentation.openai import OpenAIInstrumentor

tracer_provider = register(
    space_id=os.environ["ARIZE_SPACE_ID"],
    api_key=os.environ["ARIZE_API_KEY"],
    project_name=os.environ["ARIZE_PROJECT_NAME"],
)

OpenAIInstrumentor().instrument(tracer_provider=tracer_provider)
print("Arize AX tracing initialized for Qwen.")

Run Qwen

# example.py

# Importing instrumentation first ensures tracing is set up
# before `openai` is imported.
from instrumentation import tracer_provider

import os

from openai import OpenAI

client = OpenAI(
    base_url=os.environ["QWEN_BASE_URL"],
    api_key=os.environ["DASHSCOPE_API_KEY"],
)

response = client.chat.completions.create(
    model="qwen-plus",
    messages=[
        {
            "role": "user",
            "content": "Why should AI agent traces include tool-call context?",
        },
    ],
)

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

Expected output

Arize AX tracing initialized for Qwen.
Tool-call context shows what the agent attempted, which inputs it passed, and how each result affected the final answer, making failures easier to evaluate and debug.

Verify in Arize

Open your Arize AX space and select project qwen-tracing-example.
You should see a new trace within ~30 seconds containing a ChatCompletion LLM span with prompt, response, model, token, and latency metadata.
If no traces appear, see Troubleshooting.

Check from the skill, CLI, or SDK

Confirm spans are actually reaching your Arize AX project. Use whichever fits your workflow — the skill and CLI work for any framework; the SDK check is shown for each language.

Arize skill (agent)
AX CLI
SDK

Install the Arize Skills plugin and let your coding agent check for you:

npx skills add Arize-ai/arize-skills

Then prompt your agent:

Use the arize-trace skill to export and analyze recent traces from my project. Confirm spans are arriving, and summarize any errors or latency issues.

Export recent spans for your project — any rows mean traces are landing:

ax spans export "$ARIZE_PROJECT_NAME" --space "$ARIZE_SPACE_ID" \
  --limit 5 --stdout | jq 'length'

A non-zero count confirms spans reached Arize AX. Run ax auth login first if you have not authenticated. See the ax spans reference.

Query the project’s spans and check that at least one came back.

import os
from arize import ArizeClient

client = ArizeClient(api_key=os.environ["ARIZE_API_KEY"])
resp = client.spans.list(
    project=os.environ["ARIZE_PROJECT_NAME"],
    space=os.environ["ARIZE_SPACE_ID"],
    limit=5,
)
count = len(resp.spans)
print(
    f"{count} span(s) found" if count else "No spans yet — recheck setup"
)

// Reads ARIZE_API_KEY from the environment.
import { listSpans } from "@arizeai/ax-client";

const { data: spans } = await listSpans({
  project: process.env.ARIZE_PROJECT_NAME!,
  space: process.env.ARIZE_SPACE_ID!,
  limit: 5,
});
const count = spans.length;
console.log(
  count ? `${count} span(s) found` : "No spans yet — recheck setup",
);

client, err := arize.NewClient(
    arize.Config{APIKey: os.Getenv("ARIZE_API_KEY")},
)
if err != nil {
    log.Fatal(err)
}
resp, err := client.Spans.List(ctx, spans.ListRequest{
    Project: os.Getenv("ARIZE_PROJECT_NAME"),
    Space:   os.Getenv("ARIZE_SPACE_ID"),
    Limit:   5,
})
if err != nil {
    log.Fatal(err)
}
fmt.Printf("%d span(s) found\n", len(resp.Spans))

SDK span references: Python · TypeScript · Go.

Troubleshooting

No traces in Arize. Confirm ARIZE_SPACE_ID and ARIZE_API_KEY are set in the same shell that runs example.py.
Qwen spans missing but other spans present. OpenAIInstrumentor().instrument(...) must run before any import openai.
401 from Model Studio. Use your DashScope or Model Studio API key, not your OpenAI or Arize API key.
Endpoint or model errors. Confirm QWEN_BASE_URL matches your Model Studio region or workspace and replace qwen-plus with an available Qwen model.

OpenTelemetry

LLM Providers

Agent Frameworks

Coding Agents

Platforms

Orchestration

Evaluation

Prerequisites

Launch Arize

Install

Configure credentials

Setup tracing

Run Qwen

Expected output

Verify in Arize

Check from the skill, CLI, or SDK

Troubleshooting

Resources

Alibaba Cloud Model Studio OpenAI Compatibility

OpenInference OpenAI Instrumentor

LLM Evaluation Guide

Agent Evaluation Guide

​Prerequisites

​Launch Arize

​Install

​Configure credentials

​Setup tracing

​Run Qwen

​Expected output

​Verify in Arize

​Check from the skill, CLI, or SDK

​Troubleshooting

​Resources

Alibaba Cloud Model Studio OpenAI Compatibility

OpenInference OpenAI Instrumentor

LLM Evaluation Guide

Agent Evaluation Guide

Prerequisites

Launch Arize

Install

Configure credentials

Setup tracing

Run Qwen

Expected output

Verify in Arize

Check from the skill, CLI, or SDK

Troubleshooting

Resources