Respan instrumentation plugin for Microsoft Agent Framework
Project description
respan-instrumentation-microsoft-agent-framework
Respan instrumentation plugin for Microsoft Agent Framework.
Microsoft Agent Framework emits native OpenTelemetry spans for agents, tools, chat completions, and workflows. This package registers a Respan span processor that normalizes those native spans into the canonical Respan/OpenTelemetry span contract before export.
Install
pip install respan-instrumentation-microsoft-agent-framework
Quickstart
import os
from agent_framework import Agent
from agent_framework.openai import OpenAIChatClient
from respan import Respan
from respan_instrumentation_microsoft_agent_framework import (
MicrosoftAgentFrameworkInstrumentor,
)
respan_api_key = os.environ["RESPAN_API_KEY"]
respan_base_url = os.getenv("RESPAN_BASE_URL", "https://api.respan.ai/api")
respan = Respan(
api_key=respan_api_key,
base_url=respan_base_url,
app_name="microsoft-agent-framework-example",
instrumentations=[MicrosoftAgentFrameworkInstrumentor(capture_content=True)],
)
os.environ["OPENAI_API_KEY"] = respan_api_key
os.environ["OPENAI_BASE_URL"] = respan_base_url
os.environ["OPENAI_MODEL_ID"] = os.getenv("RESPAN_MODEL", "gpt-4.1-nano")
client = OpenAIChatClient()
agent = Agent(
client=client,
name="trace_assistant",
instructions="Answer concisely.",
)
result = agent.run("Say hello from Microsoft Agent Framework.")
print(result)
respan.flush()
respan.shutdown()
Notes
- Initialize
Respan(...)before running agents or workflows so Agent Framework uses the active Respan OpenTelemetry provider. capture_content=Trueasks Agent Framework to include sensitive prompt, completion, and tool payload data in its native spans. Set it toFalseif you only want metadata.- The processor emits canonical fields such as
respan.entity.log_type,gen_ai.prompt.N.*,gen_ai.completion.N.*,llm.request.functions, andtraceloop.entity.*. It strips Agent Framework raw message/tool payload fields and off-contract aliases before export.
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