{"id":45476069,"url":"https://github.com/SkatAI/cauldron","last_synced_at":"2026-03-07T17:01:07.015Z","repository":{"id":335677151,"uuid":"1146669879","full_name":"SkatAI/cauldron","owner":"SkatAI","description":"Langchain based AI agent to validate personnas system prompts","archived":false,"fork":false,"pushed_at":"2026-02-23T14:46:37.000Z","size":97,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-02-23T18:00:22.482Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SkatAI.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":"AGENTS.md","dco":null,"cla":null}},"created_at":"2026-01-31T13:38:54.000Z","updated_at":"2026-02-23T14:48:45.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/SkatAI/cauldron","commit_stats":null,"previous_names":["skatai/cauldron"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/SkatAI/cauldron","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SkatAI%2Fcauldron","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SkatAI%2Fcauldron/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SkatAI%2Fcauldron/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SkatAI%2Fcauldron/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SkatAI","download_url":"https://codeload.github.com/SkatAI/cauldron/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SkatAI%2Fcauldron/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30222347,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-07T17:00:40.062Z","status":"ssl_error","status_checked_at":"2026-03-07T17:00:39.026Z","response_time":53,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-02-22T15:00:33.265Z","updated_at":"2026-03-07T17:01:07.009Z","avatar_url":"https://github.com/SkatAI.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# Cauldron\n\nAI agent service that validates AI persona system prompts. Built with FastAPI, LangGraph, and LangChain, using LLMs via OpenRouter.\n\n## What it does\n\nReceives markdown-formatted system prompts and:\n- **Quality evaluation** — LLM-based assessment of persona quality across 8 criteria (role clarity, behavior traits, communication style, etc.) with improvement advice in French\n- **Content moderation** — detects toxic and NSFW content via LLM (blocking validation)\n\n## Prerequisites\n\n- Python 3.12\n- [uv](https://docs.astral.sh/uv/)\n- An [OpenRouter](https://openrouter.ai/) API key\n\n## Setup\n\n```bash\n# Install dependencies\nmake dev\n\n# Copy and fill in your environment variables\ncp .env.example .env.local\n# Edit .env.local and set OPENROUTER_API_KEY\n```\n\n## Usage\n\n### Run the server\n\n```bash\nmake run\n```\n\nThe API starts on `http://localhost:8088`.\n\n### API endpoints\n\n**Health check**\n\n```bash\ncurl http://localhost:8088/health\n# {\"status\": \"ok\"}\n```\n\n**Validate a system prompt**\n\n```bash\ncurl -X POST http://localhost:8088/v1/validate \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"content\": \"# Personality\\nFriendly assistant.\\n\\n## Tone\\nProfessional.\\n\\n## Behavior\\nAnswer clearly.\\n\\n## Constraints\\nNo medical advice.\"\n  }'\n```\n\nResponse when valid:\n```json\n{\n  \"status\": \"valid\",\n  \"errors\": [],\n  \"quality\": {\n    \"criteria\": [\n      {\"name\": \"Clarté du rôle\", \"justification\": \"...\"},\n      {\"name\": \"Traits de comportement et attitude\", \"justification\": \"...\"},\n      ...\n    ],\n    \"advice\": \"Suggestions d'amélioration...\"\n  }\n}\n```\n\nResponse when invalid (toxic/NSFW content detected):\n```json\n{\n  \"status\": \"invalid\",\n  \"errors\": [\n    {\"code\": \"toxic_content\", \"message\": \"Le contenu contient du contenu toxique\", \"detail\": \"...\"}\n  ],\n  \"quality\": null\n}\n```\n\nError codes: `toxic_content`, `nsfw_content`, `parse_error`, `internal_error`.\n\n**Test with toxic content (fixture)**\n\n```bash\ncurl -X POST http://localhost:8088/v1/validate \\\n  -H \"Content-Type: application/json\" \\\n  -d \"$(jq -n --arg content \"$(cat docs/prompts/tests/toxic_agent_system_prompt.md)\" '{content: $content}')\" | jq\n```\n\n### Docker\n\n```bash\n# Build and start\nmake docker-up\n\n# Stop\nmake docker-down\n```\n\nThe `docker-compose.yaml` mounts `src/` for hot-reload during development.\n\n## Configuration\n\n### Environment variables (`.env.local`)\n\n| Variable | Description | Default |\n|---|---|---|\n| `OPENROUTER_API_KEY` | OpenRouter API key (required) | — |\n| `OPENROUTER_MODEL` | Model for moderation and quality evaluation (required) | — |\n| `OPENROUTER_BASE_URL` | OpenRouter API base URL | `https://openrouter.ai/api/v1` |\n| `LANGSMITH_API_KEY` | LangSmith tracing key (optional) | — |\n| `LANGSMITH_PROJECT` | LangSmith project name | `cauldron` |\n| `APP_ENV` | Environment name | `development` |\n| `LOG_LEVEL` | Logging level | `info` |\n\n## Development\n\n```bash\nmake dev          # Install all deps including dev tools\nmake test         # Run all tests\nmake test-unit    # Run unit tests only\nmake test-cov     # Run tests with coverage report\nmake lint         # Run ruff linter\nmake format       # Auto-format with ruff\nmake type-check   # Run mypy\nmake clean        # Remove build artifacts and caches\n```\n\n## Project structure\n\n```\nsrc/cauldron/\n  main.py              # FastAPI app factory + lifespan\n  settings.py          # pydantic-settings (env vars)\n  api/                 # HTTP layer\n    router.py          # /health\n    v1/\n      schemas.py       # Request/response models + QualityEvaluation\n      endpoints/\n        validation.py  # POST /v1/validate\n  agent/               # LangGraph workflow\n    state.py           # ValidationState TypedDict\n    graph.py           # Graph definition + compilation\n    nodes/\n      quality_evaluator.py    # LLM-based quality assessment\n      content_moderator.py    # LLM-based moderation\n      result_aggregator.py    # Aggregates moderation errors\n  llm/\n    client.py          # ChatOpenRouter (extends ChatOpenAI)\n    prompts.py         # Moderation prompt template\n    quality_prompt.py  # Quality evaluation prompt template\ndocs/\n  system_prompt_quality_evaluator_fr.md  # French evaluator instructions\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FSkatAI%2Fcauldron","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FSkatAI%2Fcauldron","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FSkatAI%2Fcauldron/lists"}