29 lines
1.2 KiB
Markdown
29 lines
1.2 KiB
Markdown
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# Structured Outputs and Constrained Decoding in Agentic AI
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## Metadata
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| Field | Value |
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| Institute | Molodetz Institute — Research & Retrieval Division |
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| Subject | agent-goal-verification |
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| Document type | Source Citation Card |
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| Tier | 2 |
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| Source title | Structured Outputs and Constrained Decoding in Agentic AI |
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| 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 |
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| Source type | other |
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| Date researched | 2026-10-18 |
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| Researched by | tai (agent), model: Muse Spark, on behalf of retoor |
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| Research method | Search aggregator result listing (not independently opened or quoted) |
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| Confidence | Not independently verified |
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| Status | Active |
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## Why it's here
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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.
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## Changelog
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| Date | Change |
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| 2026-10-18 | Logged as consulted-but-not-analyzed. |
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