# 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. |