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docs: correct doc-vs-code drift across the canonical docs
A documentation audit against the code surfaced several stale claims: - Agent count: the roster is 19 AI agents (the UX/UI cell has two devs, ux-dev-1 + ux-dev-2), not 18 / a single UX dev. Fixed in README, CLAUDE.md, base.md, and docs/ux_ui. - API: domain routes are mounted under /api, not /api/v1 (the /api/v1 prefix is the agent gateway only); dropped the non-existent /api/v1/test group; fixed the orchestrator-status path in deployment.md. - Quick Start uvicorn target is roboco.api.app:app (the api package deliberately does not export app). - Verb table: the developer PR verb is open_pr (renamed from submit_for_qa); the lifecycle's canonical module is foundation/policy/lifecycle.py (enforcement/task_lifecycle.py is a shim). - Backend team stack: vector store is PostgreSQL + pgvector (via piragi), not Qdrant; mypy targets roboco/, not src/. - .env.example: replaced the phantom Qdrant/OpenAI blocks with the real Ollama/RAG settings.
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@@ -65,15 +65,13 @@ ROBOCO_REDIS_DB=0
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# ROBOCO_REDIS_PASSWORD=
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# =============================================================================
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# Qdrant (Vector DB) - Optional
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# =============================================================================
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ROBOCO_QDRANT_HOST=localhost
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ROBOCO_QDRANT_PORT=6333
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# ROBOCO_QDRANT_API_KEY=
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# =============================================================================
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# OpenAI (optional, for embeddings)
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# RAG / Local LLM (Ollama + pgvector via piragi)
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# =============================================================================
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# For docker compose use the container name (roboco-ollama); locally, localhost.
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ROBOCO_OLLAMA_BASE_URL=http://localhost:11434
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ROBOCO_LOCAL_LLM_BASE_URL=http://localhost:11434/v1
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ROBOCO_LOCAL_LLM_MODEL=glm-5:cloud
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ROBOCO_DEFAULT_EMBEDDING_MODEL=qwen3-embedding:0.6b
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# =============================================================================
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# Security
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