Technology · Agentic → Structured Output · Open Source · wiki:deep
Outlines is a library for structured generation — JSON/schema/grammar-guided decoding so model outputs conform to declared structures, with emphasis on reliable valid outputs especially when you control the serving stack. Core pieces include Python outlines plus related outlines-core (Rust). Apache-2.0 (dottxt-ai). Research sources in this pack include arXiv structured-generation work and guarantee notes.
Hardens tool-call and record emission for open-model workers where “almost valid JSON” breaks gates. Prefer Instructor for multi-provider cloud extraction with retries; prefer Guidance for programmable constrained prompting DSL; prefer LMQL for query-language research (check maintenance).
Declare a schema or grammar; Outlines steers decoding (often via logits processors / engines) so sampled tokens stay inside the language. Integrate with supported model backends; parse the guaranteed-shaped string into typed objects in app code.
Related: guidance · instructor · lmql · topics/12-central-nervous-system
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Catalog backlinks — what points here (wiki “what links here”).
Claims below are backed by science sources on disk.
Library / structured gen role
dottxt-ai/outlines · MODERATE
“This framework leads to an efficient approach to guiding text generation with regular expressions and context-free grammars by allowing the construction of an index over a language model’s vocabulary.”
Guarantees notes
Reliability claim (same paper) · MODERATE
“An implementation is provided in the open source Python library Outlines”
Research paper
Efficient Guided Generation for Large Language Models · MODERATE
“In this article we show how the problem of neural text generation can be constructively reformulated in terms of transitions between the states of a finite-state machine.”
Features and peers linked from the catalog map — not a second product surface.
Primary repo github.com/dottxt-ai/outlines · Open Source
technologies/outlines/README.md
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