Files
tai/research/agent-goal-verification/sumansingh-structured-outputs-constrained-decoding.md
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retoor af080fe68e Strict goal verification, approval hardening, retrieval eval, work limits, sandbox caps (1.38.0)
- Approval: re-prompt unknown answers (max 3), shell-only affirmative
  guidance recovery; destructive actions stay strict
- GoalVerifier subagent with strict JSON verdicts, bounded follow-up
  rounds, nonzero exit plus open turn on unverified one-shots
- Retrieval eval (Hit@K/MRR/nDCG/Context Precision), FTS cascade with
  title weighting, query/read event logging, --eval-retrieval CLI
- Supervisor caps (8 parallel, 64 records) and scheduler hardening
  (4 fires/tick, per-schedule lease, stated misfire policy)
- Sandbox box resource trio: 2g/2.0/256 at create, best-effort
  update for existing boxes, rm -f recovery pointer
- Research archive: 12 subjects, 667 sources, 27 conclusions;
  suites 979 + 16 green
2026-10-18 12:13:24 +02:00

1.2 KiB

Structured Outputs and Constrained Decoding in Agentic AI

Metadata

Field Value
Institute Molodetz Institute — Research & Retrieval Division
Subject agent-goal-verification
Document type Source Citation Card
Tier 2
Source title Structured Outputs and Constrained Decoding in Agentic AI
Source URL https://github.com/sumansingh226/python-to-ai-ml-journey/blob/HEAD/src/Ai/topis/%23%20Structured%20Outputs%20&%20Constrained%20Decoding%20in%20Agentic%20AI.md
Source type other
Date researched 2026-10-18
Researched by tai (agent), model: Muse Spark, on behalf of retoor
Research method Search aggregator result listing (not independently opened or quoted)
Confidence Not independently verified
Status Active

Why it's here

Surfaced by the structured-output reliability search; the listing snippet claims top models fail JSON schema adherence 5-15% of the time without enforcement. Directionally consistent with stronger sources, but a personal study-notes repo, seen only as a snippet.

Changelog

Date Change
2026-10-18 Logged as consulted-but-not-analyzed.