{"data":{"slug":"protectai-llm-guard","name":"llm-guard","tagline":"The Security Toolkit for LLM Interactions","github_url":"https://github.com/protectai/llm-guard","owner":"protectai","repo":"llm-guard","owner_avatar_url":"https://avatars.githubusercontent.com/u/102992336?v=4","primary_language":"Python","stars":3202,"forks":435,"topics":["adversarial-machine-learning","chatgpt","large-language-models","llm","llm-security","llmops","prompt-engineering","prompt-injection","security-tools","transformers"],"archived":true,"github_pushed_at":"2026-07-08T23:58:40+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/protectai-llm-guard","markdown_url":"https://www.graphcanon.com/tools/protectai-llm-guard.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/protectai-llm-guard","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=protectai-llm-guard","description":"The Security Toolkit for LLM Interactions","homepage_url":"https://protectai.github.io/llm-guard/","license":"MIT","open_issues":40,"watchers":29,"ai_summary":"LLM Guard provides tools and functionalities aimed at securing interactions with large language models, addressing issues such as prompt injection and adversarial machine learning.","readme_excerpt":"## Installation\n\nBegin your journey with LLM Guard by downloading the package:\n\n```sh\npip install llm-guard\n```\n\n---\n\n## Getting Started\n\n**Important Notes**:\n\n- LLM Guard is designed for easy integration and deployment in production environments. While it's ready to use\n  out-of-the-box, please be informed that we're constantly improving and updating the repository.\n- Base functionality requires a limited number of libraries. As you explore more advanced features, necessary libraries\n  will be automatically installed.\n- Ensure you're using Python version 3.9 or higher. Confirm with: `python --version`.\n- Library installation issues? Consider upgrading pip: `python -m pip install --upgrade pip`.\n\n**Examples**:\n\n- Get started with [ChatGPT and LLM Guard](./examples/openai_api.py).\n- Deploy LLM Guard as [API](https://protectai.github.io/llm-guard/api/overview/)","github_created_at":"2023-07-27T19:03:13+00:00","created_at":"2026-07-07T17:35:58.825509+00:00","updated_at":"2026-08-05T06:01:12.446681+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"adversarial-machine-learning","name":"adversarial-machine-learning"},{"slug":"chatgpt","name":"chatgpt"},{"slug":"large-language-models","name":"large language models"},{"slug":"llm-security","name":"llm security"},{"slug":"prompt-engineering","name":"prompt-engineering"},{"slug":"prompt-injection","name":"prompt-injection"},{"slug":"security-tools","name":"security-tools"}],"trust":{"provenance":{"is_fork":false,"github_id":671629770,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-05T06:01:11.633Z","maintenance":{"label":"Archived","score":8,"methodology":"github_public_v1","releases_90d":0,"days_since_push":27,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:42:54.125Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-05T06:01:12.129Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-05T06:01:12.129Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-08-05T06:01:12.129Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["Ensure you have Python version 3.9 or higher.","Some advanced features require additional libraries which are automatically installed as needed."],"min_ram_gb":2,"requires_docker":false},"constraints":{"min_ram_gb":2,"requires_docker":false},"when_to_use":["- You need to secure your application from sophisticated prompt injection techniques.","- Your development process involves integrating LLMs into production environments where security is paramount."],"when_not_to_use":["- If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary.","- In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits."],"source":"enrich:decision_facts","observed_at":"2026-07-12T00:21:03.383Z"},"constraint_facets":{"min_ram_gb":2,"requires_docker":false},"decision_summary":[{"label":"Requirements","value":"Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed."},{"label":"Adopt for","value":"LLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks."}]}}