This release is a pre-release and may not be stable for production use.
This library allows tracing agent runs and tool executions made through the Qwen-Agent framework.
It produces spans following the GenAI semantic conventions:
invoke_agent for Agent.run()
execute_tool for Agent._call_tool()
LLM call (chat) spans are intentionally not emitted by this instrumentation: the model client libraries qwen-agent calls into have their own instrumentations, and emitting them here as well would duplicate the LLM spans. Enable the instrumentation of the underlying model client library (e.g. opentelemetry-instrumentation-genai-openai for OpenAI-compatible backends) alongside this package to capture LLM calls.
Installation
pip install opentelemetry-instrumentation-genai-qwen-agent
Usage
from opentelemetry.instrumentation.genai.qwen_agent import (
QwenAgentInstrumentor,
)
from qwen_agent.agents import Assistant
QwenAgentInstrumentor().instrument()
bot = Assistant(
llm={"model": "qwen-max", "model_type": "qwen_dashscope"},
name="my-assistant",
)
for responses in bot.run([{"role": "user", "content": "Hello!"}]):
passMessage content capture is disabled by default. Set OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT to one of NO_CONTENT, SPAN_ONLY, EVENT_ONLY, or SPAN_AND_EVENT to record prompts, completions, and tool arguments/results.
Uploading prompts and completions
Instead of recording message content inline, prompts and completions can be uploaded to external storage via a completion hook. To enable the built-in upload hook, set:
OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK=upload
OTEL_INSTRUMENTATION_GENAI_UPLOAD_BASE_PATH to an fsspec-compatible URI/path (e.g. /path/to/prompts or gs://my_bucket), and install the upload extra (pip install opentelemetry-util-genai[upload]).
A custom CompletionHook can also be passed programmatically, taking precedence over the environment variable:
QwenAgentInstrumentor().instrument(completion_hook=my_hook)
References
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