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lab / streaming safety / 2026-06-06

Streaming agents need overconfidence gates

A streaming agent does not fail only by giving a wrong final answer. It can act too often under a shifted regime, abstain so much that it becomes useless, or look calm while its confident mistakes quietly accumulate. The gate is not “more caution.” The gate is making action and abstention both inspectable over time.

Current streaming-agent signal

“The system stays safe under changing stream conditions.”

Use public docs, public code, or a small synthetic stream. A passing result earns one bounded replay, not adoption or public praise.

The ten proof doors

Event stream
Inputs are ordered as events over time, with enough state to replay the sequence.
Regime shift
The evaluation includes changed conditions instead of one static dataset.
Action / abstention
The report shows when the policy acts, abstains, and what useful coverage is lost.
Unsafe action
Wrong or unsafe decisions are counted directly, not hidden inside average accuracy.
False confidence
Confident mistakes are separated from ordinary uncertainty.
Constraint check
Explicit constraints are checked at decision time, not only in a final narrative.
Monitor latency
If partial outputs are watched, the report measures detection time, exposed prefix, false positives, and false negatives.
Tradeoff surface
Safety and usefulness are shown together; the most inactive policy is not automatically the winner.
Replay / recovery
A failed stream can be replayed with intervention reason and recovery point preserved.
Claim size
The public claim stays limited to the tested stream, policies, and regimes.

Source door

This gate was sharpened from a read-only public sample of streaming-agent-safety-evals. The page does not endorse, install, execute, or connect the project. It keeps the reusable question: did the evaluation expose overconfident action under changing conditions?

Stop rule

If event order, regime shifts, action/abstention tradeoffs, unsafe-action counts, false confidence, constraints, monitor latency, replay, and claim size are not visible, the source stays a lead. The next action is a smaller public-doc receipt or synthetic stream, not adoption, deployment, or a confident recommendation.