Summary
TrajectoryDataset + MockLlmClient enables offline replay testing, but no online evaluation—measuring agent quality during execution. You can't score a live agent's decisions mid-run.
Proposal
Add evaluation hooks that can score agent behavior during execution:
- Hook into
AgentUpdate stream
- Apply scorers (existing
ExactMatch, FuzzyMatch, LlmJudge or new)
- Aggregate scores without blocking execution
- Surface quality degradation in real-time
Use Cases
- "This agent is going off-track" detection
- A/B testing agent strategies with live scoring
- Automatic retry/fallback when quality drops below threshold
Context
From user_guide.md "What to Build Next" - Priority 3.
Suggested by gemicro session during cross-session Frontier feedback.
Summary
TrajectoryDataset+MockLlmClientenables offline replay testing, but no online evaluation—measuring agent quality during execution. You can't score a live agent's decisions mid-run.Proposal
Add evaluation hooks that can score agent behavior during execution:
AgentUpdatestreamExactMatch,FuzzyMatch,LlmJudgeor new)Use Cases
Context
From user_guide.md "What to Build Next" - Priority 3.
Suggested by gemicro session during cross-session Frontier feedback.