daarion-admin/microdao-daarion
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
73 Commits 8 Branches 0 Tags
36c35cab5781ccb5d2d899e413b5e3c24e903428
Commit Graph

7 Commits

Author SHA1 Message Date
Apple
b521c9cfc5 fix: register vision_encoder from orchestrator_providers config 2025-11-17 06:14:08 -08:00
Apple
4601c6fca8 feat: add Vision Encoder service + Vision RAG implementation 
- Vision Encoder Service (OpenCLIP ViT-L/14, GPU-accelerated)
  - FastAPI app with text/image embedding endpoints (768-dim)
  - Docker support with NVIDIA GPU runtime
  - Port 8001, health checks, model info API

- Qdrant Vector Database integration
  - Port 6333/6334 (HTTP/gRPC)
  - Image embeddings storage (768-dim, Cosine distance)
  - Auto collection creation

- Vision RAG implementation
  - VisionEncoderClient (Python client for API)
  - Image Search module (text-to-image, image-to-image)
  - Vision RAG routing in DAGI Router (mode: image_search)
  - VisionEncoderProvider integration

- Documentation (5000+ lines)
  - SYSTEM-INVENTORY.md - Complete system inventory
  - VISION-ENCODER-STATUS.md - Service status
  - VISION-RAG-IMPLEMENTATION.md - Implementation details
  - vision_encoder_deployment_task.md - Deployment checklist
  - services/vision-encoder/README.md - Deployment guide
  - Updated WARP.md, INFRASTRUCTURE.md, Jupyter Notebook

- Testing
  - test-vision-encoder.sh - Smoke tests (6 tests)
  - Unit tests for client, image search, routing

- Services: 17 total (added Vision Encoder + Qdrant)
- AI Models: 3 (qwen3:8b, OpenCLIP ViT-L/14, BAAI/bge-m3)
- GPU Services: 2 (Vision Encoder, Ollama)
- VRAM Usage: ~10 GB (concurrent)

Status: Production Ready ✅
 2025-11-17 05:24:36 -08:00
Ivan Tytar
765956ab09 Add debug logging to Router llm_provider 2025-11-17 00:40:50 +01:00
Ivan Tytar
03d3d6ecc4 fix: increase LLM timeout 30s→60s, fix Gateway request format, add Ollama optimization guide 
- Fixed Gateway: 'prompt' → 'message' field name
- Increased LLM provider timeout from 30s to 60s
- Added OLLAMA-OPTIMIZATION.md with performance tips
- DAARWIZZ now responds (slowly but works)
 2025-11-15 17:46:35 +01:00
Ivan Tytar
df0055bb03 fix: Docker deployment - fix Dockerfiles, registry.py f-strings, Gateway app structure 2025-11-15 15:59:42 +01:00
Ivan Tytar
be95bbad9c feat: Add DAARWIZZ agent with personality 
DAARWIZZ - Official AI agent for DAARION.city ecosystem

Changes:
- gateway-bot/daarwizz_prompt.txt: System prompt defining DAARWIZZ personality
- gateway-bot/http_api.py: Load and inject DAARWIZZ context into Router requests
- gateway-bot/Dockerfile: Copy DAARWIZZ prompt file to container
- providers/llm_provider.py: Support context.system_prompt from Gateway

Features:
- Telegram webhook sends agent='daarwizz' to Router
- System prompt loaded from file (customizable)
- LLM receives full DAARWIZZ context + RBAC
- Discord support included

Usage:
- User messages DAARWIZZ in Telegram
- Gateway enriches with system prompt + RBAC
- Router routes to LLM with full context
- DAARWIZZ responds with DAO-aware answers

Next: Set TELEGRAM_BOT_TOKEN and test first dialog
 2025-11-15 15:31:58 +01:00
Ivan Tytar
3cacf67cf5 feat: Initial commit - DAGI Stack v0.2.0 (Phase 2 Complete) 
- Router Core with rule-based routing (1530 lines)
- DevTools Backend (file ops, test execution) (393 lines)
- CrewAI Orchestrator (4 workflows, 12 agents) (358 lines)
- Bot Gateway (Telegram/Discord) (321 lines)
- RBAC Service (role resolution) (272 lines)
- Structured logging (utils/logger.py)
- Docker deployment (docker-compose.yml)
- Comprehensive documentation (57KB)
- Test suites (41 tests, 95% coverage)
- Phase 4 roadmap & ecosystem integration plans

Production-ready infrastructure for DAARION microDAOs.
 2025-11-15 14:35:24 +01:00