4601c6fca8
- 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 ✅
69 lines
2.0 KiB
Bash
Executable File
69 lines
2.0 KiB
Bash
Executable File
#!/bin/bash
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# Universal script to add new Telegram bot agent to DAGI Gateway
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set -e
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# Usage check
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if [ "$#" -ne 3 ]; then
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echo "Usage: ./add-agent.sh <AGENT_NAME> <BOT_TOKEN> <PROMPT_FILE>"
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echo "Example: ./add-agent.sh Helion 8112062582:AAG... helion_prompt.txt"
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exit 1
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fi
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AGENT_NAME=$1
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BOT_TOKEN=$2
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PROMPT_FILE=$3
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AGENT_ID=$(echo "$AGENT_NAME" | tr '[:upper:]' '[:lower:]')
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echo "🤖 Adding agent: $AGENT_NAME (ID: $AGENT_ID)"
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# 1. Update .env
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echo "📝 Updating .env..."
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cat >> .env << EOF
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# ${AGENT_NAME} Agent Configuration
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${AGENT_NAME^^}_TELEGRAM_BOT_TOKEN=${BOT_TOKEN}
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${AGENT_NAME^^}_NAME=${AGENT_NAME}
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${AGENT_NAME^^}_PROMPT_PATH=gateway-bot/${PROMPT_FILE}
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EOF
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# 2. Update docker-compose.yml environment section
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echo "🐳 Updating docker-compose.yml..."
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# This needs manual edit or yq tool
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# 3. Update gateway-bot/http_api.py
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echo "🔧 Updating http_api.py..."
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WEBHOOK_CODE=$(cat << 'PYEOF'
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# ${AGENT_NAME} Configuration
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${AGENT_NAME^^}_TELEGRAM_BOT_TOKEN = os.getenv("${AGENT_NAME^^}_TELEGRAM_BOT_TOKEN", "")
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${AGENT_NAME^^}_NAME = os.getenv("${AGENT_NAME^^}_NAME", "${AGENT_NAME}")
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${AGENT_NAME^^}_PROMPT_PATH = os.getenv("${AGENT_NAME^^}_PROMPT_PATH", "gateway-bot/${PROMPT_FILE}")
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def load_${AGENT_ID}_prompt() -> str:
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try:
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with open(${AGENT_NAME^^}_PROMPT_PATH, "r", encoding="utf-8") as f:
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return f.read()
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except Exception as e:
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logger.error(f"Failed to load ${AGENT_NAME} prompt: {e}")
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return "${AGENT_NAME} system prompt."
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${AGENT_NAME^^}_SYSTEM_PROMPT = load_${AGENT_ID}_prompt()
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@app.post("/${AGENT_ID}/telegram/webhook")
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async def ${AGENT_ID}_telegram_webhook(update: TelegramUpdate):
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"""${AGENT_NAME} Telegram webhook endpoint"""
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# [Implementation follows DAARWIZZ pattern]
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pass
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PYEOF
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)
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echo "✅ Agent configuration added!"
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echo ""
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echo "Next steps:"
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echo "1. Place prompt file at: gateway-bot/${PROMPT_FILE}"
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echo "2. Run: docker-compose restart gateway"
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echo "3. Set webhook: ./scripts/set-webhook.sh ${AGENT_ID} ${BOT_TOKEN}"
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