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roboco-app[bot]GitHubBackend Developer 1Backend Documenterroboco-app[bot] <302741806+roboco-app[bot]@users.noreply.github.com>* [c2c29256] Fix make quality CI regression on roboco-api slave (#804) * [c2c29256] fix: mock _chown_entry to simulate chown failure in test_marker_written_only_on_zero_failure_pass * [c2c29256] docs(changelog): add Unreleased Fixed entry for make quality slave CI regression fix --------- Co-authored-by: Backend Developer 1 <be-dev-1@roboco.tech> Co-authored-by: Backend Documenter <be-doc@roboco.tech> * [b5bc53ea] Fix security middleware trusted_proxies + run full make quality green (#811) * [b5bc53ea] fix(security): remove LAN ranges from trusted_proxies so forwarded LAN IPs are rejected * [b5bc53ea] refactor(task): extract private helpers from cancel() to clear xenon rank C gate * [b5bc53ea] docs(security): document trusted_proxies/whitelist lockstep invariant and the #811 LAN-IP fix --------- Co-authored-by: Backend Developer 1 <be-dev-1@roboco.tech> Co-authored-by: Backend Documenter <be-doc@roboco.tech> * [13193140] Strengthen security middleware IP-resolution test + document trusted_proxies invariant (#813) * [13193140] test(security): add direct IP-resolution unit tests and document trusted_proxies invariant * [13193140] docs(security): cross-reference trusted_proxies invariant proof tests and inline comment --------- Co-authored-by: Backend Developer 1 <be-dev-1@roboco.tech> Co-authored-by: Backend Documenter <be-doc@roboco.tech> --------- Co-authored-by: roboco-app[bot] <302741806+roboco-app[bot]@users.noreply.github.com> Co-authored-by: Backend Developer 1 <be-dev-1@roboco.tech> Co-authored-by: Backend Documenter <be-doc@roboco.tech>
RAG Knowledge Base Documentation
Optimized documentation for the RoboCo AI agent knowledge base. Each file is sized for effective RAG chunking.
Structure
docs/rag/
├── roles/ # Agent role responsibilities
├── workflows/ # Step-by-step task flows
├── standards/ # Coding, security, testing rules
├── architecture/ # System components
├── tools/ # MCP tools reference
└── troubleshooting/ # Common issues and fixes
Organization Principles
- One topic per file - Each file covers a single concept
- Chunk-friendly - Content fits in 512-1536 token chunks
- Self-contained - Each file provides complete context
- Actionable - Focus on what agents need to DO
For Agents
When searching the knowledge base:
- Use
roboco_kb_search()for semantic search - Use
roboco_rag_query()for AI-synthesized answers - Use
roboco_ask_mentor()for conversational help
See docs/rag/tools/kb-tools.md for the full KB tool reference.