{"data":{"slug":"guidance-ai-guidance","name":"guidance","tagline":"A guidance language for controlling large language models.","github_url":"https://github.com/guidance-ai/guidance","owner":"guidance-ai","repo":"guidance","owner_avatar_url":"https://avatars.githubusercontent.com/u/142035062?v=4","primary_language":"Jupyter Notebook","stars":21656,"forks":1190,"topics":[],"archived":false,"github_pushed_at":"2026-05-21T17:08:04+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/guidance-ai-guidance","markdown_url":"https://www.graphcanon.com/tools/guidance-ai-guidance.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/guidance-ai-guidance","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=guidance-ai-guidance","description":"A guidance language for controlling large language models.","homepage_url":null,"license":"MIT","open_issues":303,"watchers":119,"ai_summary":"Guidance is a tool that uses a specialized language to control and interact with various large language model backends including Transformers, llama.cpp, OpenAI, etc. It can be installed easily via PyPI and supports multiple backend systems.","readme_excerpt":"## Install\nGuidance is available through PyPI and supports a variety of backends (Transformers, llama.cpp, OpenAI, etc.).\nIf you already have the backend required for your model, you can simply run\n```bash\npip install guidance\n```","github_created_at":"2022-11-10T18:21:45+00:00","created_at":"2026-07-11T10:40:31.60524+00:00","updated_at":"2026-07-11T14:08:10.526338+00:00","categories":[{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"}],"tags":[{"slug":"language-models","name":"language models"},{"slug":"backend-support","name":"backend support"},{"slug":"pip-installable","name":"pip installable"},{"slug":"control-language","name":"control language"}],"trust":{"provenance":{"is_fork":false,"github_id":564443255,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T10:40:32.254Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":0,"days_since_push":50,"last_release_at":"2026-03-18T22:18:46Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:40:35.784Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T14:07:49.413Z"},"languages":{"value":["jupyter notebook","python"],"source":"github.language+pyproject.toml","observed_at":"2026-07-11T14:07:49.413Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-11T14:07:49.413Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need a specific language to finely control various LLM backends including Transformers, llama.cpp, and OpenAI","If your project requires integration with the MIT-licensed codebase for flexibility and ease of modification"],"when_not_to_use":["When your project is strictly confined to using only one type of backend which you can manage without a specialized control language","If your development environment does not support or prefer Jupyter Notebooks, Guidance may not be the best choice"],"source":"enrich:decision_facts","observed_at":"2026-07-11T14:08:10.219Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Guidance is a specialized tool written in Jupyter Notebooks that provides a unique language to control large language models (LLMs) across multiple backends such as Transformers, llama.cpp, and OpenAI. It's open-source,轻"}]}}