Constrain LLM outputs to valid JSON, XML, and code using regex and grammar constraints.
npx skills add https://github.com/ovachiever/droid-tings --skill guidance
Please help me install this Agent Skill. Skill: guidance Source: https://github.com/ovachiever/droid-tings/tree/main/skills/guidance Command: npx skills add https://github.com/ovachiever/droid-tings --skill guidance
Guidance provides constrained generation, enforcing valid formats (JSON/XML/code) using regex and grammars, enabling fast, reliable, structured outputs from LLMs and reducing post-editing toil.
Use Guidance to constrain a generation to a valid JSON object with known keys.
High-intent search queries and answers about installing and using this skill.
Constrain LLM outputs using regex and grammar rules to enforce valid JSON, XML, or code structures. Guidance applies pattern matching and grammatical constraints during generation, eliminating malformed outputs and post-processing overhead.
Yes. Guidance enforces regex constraints to match specific patterns—emails, dates, IDs—and validate structured formats. Token healing ensures outputs conform to patterns without regeneration.
Use Guidance to orchestrate complex generation pipelines with Pythonic control flow. Define schemas and grammar rules to guide each step, ensuring valid intermediate and final outputs across workflow stages.
Guidance integrates with multiple backends including OpenAI, Transformers, and Claude variants. Deploy grammar and regex constraints across different model providers without rewriting workflow logic.
Grammar-based generation prevents invalid outputs at token time, reducing latency and eliminating retry loops. Constrained generation produces valid results on first attempt, faster than validating and regenerating malformed outputs.
Yes. Guidance enforces valid code syntax, function signatures, and structural rules during generation. Regex and grammar constraints ensure generated code compiles and matches required patterns without post-editing.
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