+ P Observe, evaluate, and improve your Microsoft AutoGen agents
Capture every ConversableAgent message and GroupChatManager turn from your Microsoft AutoGen agents — with the actual speaker preserved, not flattened into one shared thread.
What Prefactor records from Microsoft AutoGen
Microsoft AutoGen + Prefactor
Observe for Microsoft AutoGen
Prefactor observes your Microsoft AutoGen agents in real time — every LLM call, tool invocation, and custom span capture
Open → EvaluateEvaluate for Microsoft AutoGen
Prefactor evaluates your Microsoft AutoGen agents — score outcome quality against the captured spans, track drift by com
Open → ObserveAct for Microsoft AutoGen
Prefactor acts on your Microsoft AutoGen agents at runtime — block, throttle, sandbox, or escalate a tool call or data a
Open →How the Microsoft AutoGen integration works
- In a group chat, every message technically routes through the GroupChatManager, which selects the next speaker and broadcasts to the rest of the group — Prefactor's spans preserve the actual last_speaker for each turn, not just "a message arrived", so the real conversation flow between agents stays reconstructable.
- Custom reply functions registered via register_reply() are captured the same way as built-in replies — instrumenting an agent doesn't require you to only use AutoGen's default reply behaviour.
- Beyond auto-captured spans, use withSpan to record any custom step you define — an API call, a quality check, a business action.
Microsoft AutoGen integration FAQ
Do I need a dedicated package for Microsoft AutoGen?
You can instrument Microsoft AutoGen today with the framework-agnostic prefactor-core SDK; a dedicated package can be added on request.
What does Prefactor capture from Microsoft AutoGen?
Prefactor records conversable-agent messages, group-chat turns, tool calls and LLM calls as structured, timestamped spans — so every Microsoft AutoGen run is captured as trace data you can reconstruct, search and export end to end.
Does Prefactor add latency or change how Microsoft AutoGen runs?
No. Observability capture is designed to stay off your agent's critical path, so it doesn't alter your Microsoft AutoGen logic or your users' responses. The only part that acts inline is the optional runtime guardrails you enable per agent — by design, so a high-risk or low-confidence action can be held for human approval before it executes.
Can I evaluate agents built with Microsoft AutoGen and catch regressions?
Yes. Once runs are captured, eval suites score quality and groundedness on real traffic, drift detection flags behaviour changes after deployment, and versioned eval history catches regressions before they ship — the observe → evaluate → improve loop applied to your Microsoft AutoGen agents.
Related guides
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