feat: add Flowise extension for Wave 2 (Light-Heart-Labs#13) - visual LLM workflow builder

Author: Android-16

dream-server/extensions/services/flowise/README.md

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+# Flowise Extension
+
+Visual LLM workflow builder for Dream Server.
+
+## What It Is
+
+Flowise is a drag-and-drop tool to build LLM workflows:
+- Visual node editor for AI pipelines
+- 100+ pre-built integrations
+- Build chatbots, agents, and automation
+- Export as API endpoints
+- No coding required
+
+## Features
+
+- **Visual builder**: Drag-and-drop node editor
+- **LLM support**: OpenAI, Anthropic, Azure, local models
+- **RAG workflows**: Document loaders, chunkers, vector DBs
+- **Agent building**: Tools, memory, decision-making
+- **Integrations**: Slack, Discord, databases, APIs
+- **API export**: Deploy flows as REST endpoints
+- **Chatflows**: Conversational AI builders
+
+## Configuration
+
+### Environment Variables
+
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `FLOWISE_PORT` | External port | `3002` |
+| `FLOWISE_USERNAME` | Admin username | (none) |
+| `FLOWISE_PASSWORD` | Admin password | (none) |
+| `FLOWISE_SECRETKEY_OVERWRITE` | Encryption key | (auto-generated) |
+| `FLOWISE_DISABLE_TELEMETRY` | Disable analytics | `true` |
+
+### Authentication (Optional)
+
+To require login:
+```bash
+# In your .env
+FLOWISE_USERNAME=admin
+FLOWISE_PASSWORD=your-secure-password
+```
+
+## Usage
+
+```bash
+# Enable the extension
+dream extensions enable flowise
+
+# Start the service
+docker compose up -d flowise
+
+# Access at http://localhost:3002
+```
+
+## Quick Start
+
+1. **Enable**: `dream extensions enable flowise`
+2. **Open**: Visit http://localhost:3002
+3. **Create Chatflow**: Click "Add New" → "Chatflow"
+4. **Add Nodes**: Drag LLM, memory, and tool nodes
+5. **Connect**: Wire nodes together
+6. **Test**: Click chat button to test
+7. **Deploy**: Export as API or embed
+
+## Example Workflows
+
+### Simple Chatbot
+```
+Chat Input → OpenAI LLM → Chat Output
+```
+
+### RAG Document Chat
+```
+PDF Loader → Text Splitter → Vector Store → Retriever → OpenAI LLM → Output
+```
+
+### AI Agent
+```
+Chat Input → Agent → [Web Search, Calculator, Code Exec] → LLM → Output
+```
+
+## Data Persistence
+
+All flows and data stored in:
+- `./data/flowise/` - Workflows, credentials, logs
+
+## Integration with Dream Server
+
+Connect to Dream Server's LLM:
+1. Add "ChatLocalAI" or "Ollama" node
+2. Set Base URL: `http://llama-server:8080/v1` or `http://ollama:11434`
+3. Use models you've downloaded
+
+## Resources
+
+- [Flowise Documentation](https://docs.flowiseai.com/)
+- [GitHub Repository](https://github.com/FlowiseAI/Flowise)
+- [YouTube Tutorials](https://www.youtube.com/@FlowiseAI)

dream-server/extensions/services/flowise/compose.yaml

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+services:
+  flowise:
+    image: flowiseai/flowise:2.2.7
+    container_name: dream-flowise
+    restart: unless-stopped
+    security_opt:
+      - no-new-privileges:true
+    environment:
+      - PORT=3000
+      - DATABASE_PATH=/root/.flowise
+      - APIKEY_PATH=/root/.flowise
+      - SECRETKEY_PATH=/root/.flowise
+      - LOG_PATH=/root/.flowise/logs
+      - BLOB_STORAGE_PATH=/root/.flowise/storage
+      - FLOWISE_USERNAME=${FLOWISE_USERNAME:-}
+      - FLOWISE_PASSWORD=${FLOWISE_PASSWORD:-}
+      - FLOWISE_SECRETKEY_OVERWRITE=${FLOWISE_SECRETKEY_OVERWRITE:-}
+      - IFRAME_ORIGINS=${FLOWISE_IFRAME_ORIGINS:-}
+      - DISABLE_FLOWISE_TELEMETRY=${FLOWISE_DISABLE_TELEMETRY:-true}
+    volumes:
+      - ./data/flowise:/root/.flowise:rw
+    ports:
+      - "${FLOWISE_PORT:-3002}:3000"
+    healthcheck:
+      test: ["CMD", "wget", "--spider", "-q", "http://localhost:3000/api/v1/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 60s
+    networks:
+      - dream-network
+    deploy:
+      resources:
+        limits:
+          cpus: '2.0'
+          memory: 4G
+        reservations:
+          cpus: '0.5'
+          memory: 1G
+
+networks:
+  dream-network:
+    external: true

dream-server/extensions/services/flowise/manifest.yaml

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+schema_version: dream.services.v1
+
+service:
+  id: flowise
+  name: Flowise
+  aliases: [flow, workflow]
+  container_name: dream-flowise
+  host_env: FLOWISE_HOST
+  default_host: flowise
+  port: 3000
+  external_port_env: FLOWISE_PORT
+  external_port_default: 3002
+  health: /api/v1/health
+  type: docker
+  gpu_backends: []
+  category: optional
+  depends_on: []
+  description: |
+    Visual LLM workflow builder with drag-and-drop interface.
+    Build AI agents, chatbots, and automation flows without code.
+    Integrates with OpenAI, Anthropic, local models, and 100+ tools.
+  
+  features:
+    workflow:
+      description: Visual drag-and-drop workflow builder
+      vram_required_mb: 0
+    agents:
+      description: Build AI agents with tools and memory
+      vram_required_mb: 0
+    integration:
+      description: 100+ integrations (databases, APIs, LLMs)
+      vram_required_mb: 0
+    
+  tags:
+    - workflow
+    - visual
+    - nocode
+    - agents
+    - automation
+    - lowcode