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Renn F
676a87985f
- llm_catalog: OLLAMA_DEFAULT_MODEL minimax-m3:cloud → kimi-k2.7-code:cloud;
role defaults kimi-k2.6→kimi-k2.7-code, developer minimax→kimi, product_owner/
ceo kimi→glm-5.2, documenter glm→kimi; GLM 5.1→5.2 comment fix.
- config + .env.example + docker-compose{.yml,.yaml,.registry.yml} + docs +
memory_distiller + optimal_brain: glm-5:cloud → glm-5.2:cloud.
- panel ai-routing-card: typed SelfHostedModel/boolean annotations; drop the
stale "Minimax M3 default" string (default is now catalog-driven).
- tests: glm-5:cloud → glm-5.2:cloud in pricing + rate-limit-retry fixtures.
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.