SpeedyFoxAi/vera-ai-v2
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Add Docker run and compose instructions with all options

Browse Source
This commit is contained in:
Vera-AI
2026-03-26 13:14:27 -05:00
parent f9730eec5b
commit 4ff7b7b03b
2 changed files with 215 additions and 238 deletions
Download Patch File Download Diff File Expand all files Collapse all files

214
DOCKERHUB.md
View File

@@ -39,92 +39,66 @@ Vera-AI is a transparent proxy for Ollama that adds persistent memory using Qdra
│ Memory │
│ Storage │
└──────────┘
┌─────────────────────────────────────────────────────────────────────────────────┐
│ 4-LAYER CONTEXT BUILD │
└─────────────────────────────────────────────────────────────────────────────────┘
Incoming Request (POST /api/chat)
│
▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ Layer 1: System Prompt │
│ • Static context from prompts/systemprompt.md │
│ • Preserved unchanged, passed through │
└─────────────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ Layer 2: Semantic Memory │
│ • Query Qdrant with user question │
│ • Retrieve curated Q&A pairs by relevance │
│ • Limited by semantic_token_budget │
└─────────────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ Layer 3: Recent Context │
│ • Last N conversation turns from Qdrant │
│ • Chronological order, recent memories first │
│ • Limited by context_token_budget │
└─────────────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ Layer 4: Current Messages │
│ • User message from current request │
│ • Passed through unchanged │
└─────────────────────────────────────────────────────────────────────────────┘
│
▼
[augmented request] ──▶ Ollama LLM ──▶ Response
```
---
## Quick Start
### Option 1: Docker Run (Single Command)
```bash
# Pull the image
docker pull YOUR_USERNAME/vera-ai:latest
# Create directories
mkdir -p config prompts logs
# Create environment file
cat > .env << EOF
APP_UID=$(id -u)
APP_GID=$(id -g)
TZ=America/Chicago
EOF
# Run
docker run -d \
--name vera-ai \
--env-file .env \
-v ./config/config.toml:/app/config/config.toml:ro \
-v ./prompts:/app/prompts:rw \
-v ./logs:/app/logs:rw \
--name VeraAI \
--restart unless-stopped \
--network host \
YOUR_USERNAME/vera-ai:latest
-e APP_UID=1000 \
-e APP_GID=1000 \
-e TZ=America/Chicago \
-e VERA_DEBUG=false \
-v /path/to/config/config.toml:/app/config/config.toml:ro \
-v /path/to/prompts:/app/prompts:rw \
-v /path/to/logs:/app/logs:rw \
your-username/vera-ai:latest
```
# Test
curl http://localhost:11434/
### Option 2: Docker Compose
Create `docker-compose.yml`:
```yaml
services:
vera-ai:
image: your-username/vera-ai:latest
container_name: VeraAI
restart: unless-stopped
network_mode: host
environment:
- APP_UID=1000
- APP_GID=1000
- TZ=America/Chicago
- VERA_DEBUG=false
volumes:
- ./config/config.toml:/app/config/config.toml:ro
- ./prompts:/app/prompts:rw
- ./logs:/app/logs:rw
```
Then run:
```bash
docker compose up -d
```
---
## Features
## Prerequisites
| Feature | Description |
|---------|-------------|
| 🧠 **Persistent Memory** | Conversations stored in Qdrant, retrieved contextually |
| 📅 **Monthly Curation** | Daily + monthly cleanup of raw memories |
| 🔍 **4-Layer Context** | System + semantic + recent + current messages |
| 👤 **Configurable UID/GID** | Match container user to host for permissions |
| 🌍 **Timezone Support** | Scheduler runs in your local timezone |
| 📝 **Debug Logging** | Optional logs written to configurable directory |
| Requirement | Description |
|-------------|-------------|
| **Ollama** | LLM inference server (e.g., `http://10.0.0.10:11434`) |
| **Qdrant** | Vector database (e.g., `http://10.0.0.22:6333`) |
| **Docker** | Docker installed |
---
@@ -137,16 +111,11 @@ curl http://localhost:11434/
| `APP_UID` | `999` | Container user ID (match your host UID) |
| `APP_GID` | `999` | Container group ID (match your host GID) |
| `TZ` | `UTC` | Container timezone |
| `VERA_CONFIG_DIR` | `/app/config` | Config directory |
| `VERA_PROMPTS_DIR` | `/app/prompts` | Prompts directory |
| `VERA_LOG_DIR` | `/app/logs` | Debug logs directory |
| `VERA_DEBUG` | `false` | Enable debug logging |
### Required Services
### config.toml
- **Ollama**: LLM inference server
- **Qdrant**: Vector database for memory storage
### Example config.toml
Create `config/config.toml`:
```toml
[general]
@@ -163,54 +132,31 @@ semantic_search_turns = 2
semantic_score_threshold = 0.6
[curator]
run_time = "02:00" # Daily curator
full_run_time = "03:00" # Monthly curator
full_run_day = 1 # Day of month (1st)
run_time = "02:00"
full_run_time = "03:00"
full_run_day = 1
curator_model = "gpt-oss:120b"
```
---
### prompts/ Directory
## Docker Compose
Create `prompts/` directory with:
```yaml
services:
vera-ai:
image: YOUR_USERNAME/vera-ai:latest
container_name: vera-ai
env_file:
- .env
volumes:
- ./config/config.toml:/app/config/config.toml:ro
- ./prompts:/app/prompts:rw
- ./logs:/app/logs:rw
network_mode: "host"
restart: unless-stopped
healthcheck:
test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:11434/')"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
```
- `curator_prompt.md` - Prompt for memory curation
- `systemprompt.md` - System context for Vera
---
## Memory System
## Features
### 4-Layer Context
1. **System Prompt** - From `prompts/systemprompt.md`
2. **Semantic Memory** - Curated Q&A retrieved by relevance
3. **Recent Context** - Last N conversation turns
4. **Current Messages** - User/assistant from request
### Curation Schedule
| Schedule | Time | What |
|----------|------|------|
| Daily | 02:00 | Recent 24h raw memories |
| Monthly | 03:00 on 1st | ALL raw memories |
| Feature | Description |
|---------|-------------|
| 🧠 **Persistent Memory** | Conversations stored in Qdrant, retrieved contextually |
| 📅 **Monthly Curation** | Daily + monthly cleanup of raw memories |
| 🔍 **4-Layer Context** | System + semantic + recent + current messages |
| 👤 **Configurable UID/GID** | Match container user to host for permissions |
| 🌍 **Timezone Support** | Scheduler runs in your local timezone |
| 📝 **Debug Logging** | Optional logs written to configurable directory |
---
@@ -221,7 +167,26 @@ services:
| `/` | `GET` | Health check |
| `/api/chat` | `POST` | Chat completion (with memory) |
| `/api/tags` | `GET` | List models |
| `/curator/run` | `POST` | Trigger curator |
| `/curator/run` | `POST` | Trigger curator manually |
---
## Verify Installation
```bash
# Health check
curl http://localhost:11434/
# Expected: {"status":"ok","ollama":"reachable"}
# Check container
docker ps
# Expected: VeraAI running with (healthy) status
# Test chat
curl -X POST http://localhost:11434/api/chat \
-H "Content-Type: application/json" \
-d '{"model":"your-model","messages":[{"role":"user","content":"hello"}],"stream":false}'
```
---
@@ -233,18 +198,15 @@ services:
# Get your UID/GID
id
# Set in .env
APP_UID=1000
APP_GID=1000
# Rebuild
docker compose build --no-cache
# Set in environment
APP_UID=$(id -u)
APP_GID=$(id -g)
```
### Wrong Timezone
```bash
# Set in .env
# Set correct timezone
TZ=America/Chicago
```

239
README.md
View File

@@ -49,77 +49,6 @@ Every conversation is stored in Qdrant vector database and retrieved contextuall
│ Memory │
│ Storage │
└──────────┘
┌─────────────────────────────────────────────────────────────────────────────────┐
│ 4-LAYER CONTEXT BUILD │
└─────────────────────────────────────────────────────────────────────────────────┘
Incoming Request (POST /api/chat)
│
▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ Layer 1: System Prompt │
│ • Static context from prompts/systemprompt.md │
│ • Preserved unchanged, passed through │
└─────────────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ Layer 2: Semantic Memory │
│ • Query Qdrant with user question │
│ • Retrieve curated Q&A pairs by relevance │
│ • Limited by semantic_token_budget │
└─────────────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ Layer 3: Recent Context │
│ • Last N conversation turns from Qdrant │
│ • Chronological order, recent memories first │
│ • Limited by context_token_budget │
└─────────────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ Layer 4: Current Messages │
│ • User message from current request │
│ • Passed through unchanged │
└─────────────────────────────────────────────────────────────────────────────┘
│
▼
[augmented request] ──▶ Ollama LLM ──▶ Response
┌─────────────────────────────────────────────────────────────────────────────────┐
│ MEMORY STORAGE FLOW │
└─────────────────────────────────────────────────────────────────────────────────┘
User Question + Assistant Response
│
▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ Store as "raw" memory in Qdrant │
│ • User ID, role, content, timestamp │
│ • Embedded using configured embedding model │
└─────────────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ Daily Curator (02:00) │
│ • Processes raw memories from last 24h │
│ • Summarizes into curated Q&A pairs │
│ • Stores as "curated" memories │
│ • Deletes processed raw memories │
└─────────────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ Monthly Curator (03:00 on 1st) │
│ • Processes ALL remaining raw memories │
│ • Full database cleanup │
│ • Ensures no memories are orphaned │
└─────────────────────────────────────────────────────────────────────────────┘
```
---
@@ -145,7 +74,79 @@ Every conversation is stored in Qdrant vector database and retrieved contextuall
| **Docker** | Docker and Docker Compose installed |
| **Git** | For cloning the repository |
## 🚀 Quick Start
---
## 🐳 Docker Deployment
### Option 1: Docker Run (Single Command)
```bash
docker run -d \
--name VeraAI \
--restart unless-stopped \
--network host \
-e APP_UID=1000 \
-e APP_GID=1000 \
-e TZ=America/Chicago \
-e VERA_DEBUG=false \
-v ./config/config.toml:/app/config/config.toml:ro \
-v ./prompts:/app/prompts:rw \
-v ./logs:/app/logs:rw \
your-username/vera-ai:latest
```
### Option 2: Docker Compose
Create `docker-compose.yml`:
```yaml
services:
vera-ai:
image: your-username/vera-ai:latest
container_name: VeraAI
restart: unless-stopped
network_mode: host
environment:
- APP_UID=1000
- APP_GID=1000
- TZ=America/Chicago
- VERA_DEBUG=false
volumes:
- ./config/config.toml:/app/config/config.toml:ro
- ./prompts:/app/prompts:rw
- ./logs:/app/logs:rw
healthcheck:
test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:11434/')"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
```
Run with:
```bash
docker compose up -d
```
### Docker Options Explained
| Option | Description |
|--------|-------------|
| `-d` | Run detached (background) |
| `--name VeraAI` | Container name |
| `--restart unless-stopped` | Auto-start on boot, survive reboots |
| `--network host` | Use host network (port 11434) |
| `-e APP_UID=1000` | User ID (match your host UID) |
| `-e APP_GID=1000` | Group ID (match your host GID) |
| `-e TZ=America/Chicago` | Timezone for scheduler |
| `-e VERA_DEBUG=false` | Disable debug logging |
| `-v ...:ro` | Config file (read-only) |
| `-v ...:rw` | Prompts and logs (read-write) |
---
## 🚀 Quick Start (From Source)
```bash
# 1. Clone
@@ -169,6 +170,8 @@ curl http://localhost:11434/
# Expected: {"status":"ok","ollama":"reachable"}
```
---
## 📖 Full Setup Guide
### Step 1: Clone Repository
@@ -194,6 +197,9 @@ APP_GID=1000 # Run: id -g to get your GID
TZ=America/Chicago
# Debug Logging
VERA_DEBUG=false
# Optional: Cloud Model Routing
# OPENROUTER_API_KEY=your_api_key_here
```
@@ -259,7 +265,7 @@ docker compose up -d
# Check status
docker ps
docker logs vera-ai --tail 20
docker logs VeraAI --tail 20
```
### Step 6: Verify Installation
@@ -271,18 +277,18 @@ curl http://localhost:11434/
# Container status
docker ps --format "table {{.Names}}\t{{.Status}}"
# Expected: vera-ai Up X minutes (healthy)
# Expected: VeraAI Up X minutes (healthy)
# Timezone
docker exec vera-ai date
docker exec VeraAI date
# Should show your timezone (e.g., CDT for America/Chicago)
# User permissions
docker exec vera-ai id
docker exec VeraAI id
# Expected: uid=1000(appuser) gid=1000(appgroup)
# Directories
docker exec vera-ai ls -la /app/prompts/
docker exec VeraAI ls -la /app/prompts/
# Should show: curator_prompt.md, systemprompt.md
# Test chat
@@ -291,6 +297,8 @@ curl -X POST http://localhost:11434/api/chat \
-d '{"model":"qwen3.5:397b-cloud","messages":[{"role":"user","content":"hello"}],"stream":false}'
```
---
## ⚙️ Configuration Reference
### Environment Variables
@@ -300,6 +308,7 @@ curl -X POST http://localhost:11434/api/chat \
| `APP_UID` | `999` | Container user ID (match host) |
| `APP_GID` | `999` | Container group ID (match host) |
| `TZ` | `UTC` | Container timezone |
| `VERA_DEBUG` | `false` | Enable debug logging |
| `OPENROUTER_API_KEY` | - | Cloud model routing key |
| `VERA_CONFIG_DIR` | `/app/config` | Config directory |
| `VERA_PROMPTS_DIR` | `/app/prompts` | Prompts directory |
@@ -339,37 +348,7 @@ vera-ai-v2/
└── README.md # This file
```
## 🐳 Docker Compose
```yaml
services:
vera-ai:
build:
context: .
dockerfile: Dockerfile
args:
APP_UID: ${APP_UID:-999}
APP_GID: ${APP_GID:-999}
image: vera-ai:latest
container_name: vera-ai
env_file:
- .env
volumes:
# Configuration (read-only)
- ./config/config.toml:/app/config/config.toml:ro
# Prompts (read-write for curator)
- ./prompts:/app/prompts:rw
# Debug logs (read-write)
- ./logs:/app/logs:rw
network_mode: "host"
restart: unless-stopped
healthcheck:
test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:11434/')"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
```
---
## 🌍 Timezone Configuration
@@ -390,6 +369,8 @@ TZ=Europe/London # GMT/BST
| Daily | 02:00 | Recent 24h | Every day |
| Monthly | 03:00 on 1st | ALL raw memories | 1st of month |
---
## 🔌 API Endpoints
| Endpoint | Method | Description |
@@ -410,8 +391,34 @@ curl -X POST http://localhost:11434/curator/run
curl -X POST "http://localhost:11434/curator/run?full=true"
```
---
## 🧠 Memory System
### 4-Layer Context Build
```
┌─────────────────────────────────────────────────────────────┐
│ Layer 1: System Prompt │
│ • From prompts/systemprompt.md │
│ • Preserved unchanged, passed through │
├─────────────────────────────────────────────────────────────┤
│ Layer 2: Semantic Memory │
│ • Query Qdrant with user question │
│ • Retrieve curated Q&A pairs by relevance │
│ • Limited by semantic_token_budget │
├─────────────────────────────────────────────────────────────┤
│ Layer 3: Recent Context │
│ • Last N conversation turns from Qdrant │
│ • Chronological order, recent memories first │
│ • Limited by context_token_budget │
├─────────────────────────────────────────────────────────────┤
│ Layer 4: Current Messages │
│ • User message from current request │
│ • Passed through unchanged │
└─────────────────────────────────────────────────────────────┘
```
### Memory Types
| Type | Description | Retention |
@@ -425,6 +432,8 @@ curl -X POST "http://localhost:11434/curator/run?full=true"
1. **Daily (02:00)**: Processes raw memories from last 24h into curated Q&A pairs
2. **Monthly (03:00 on 1st)**: Processes ALL remaining raw memories for full cleanup
---
## 🔧 Troubleshooting
### Permission Denied
@@ -442,7 +451,7 @@ docker compose up -d
```bash
# Check container time
docker exec vera-ai date
docker exec VeraAI date
# Fix in .env
TZ=America/Chicago
@@ -452,16 +461,16 @@ TZ=America/Chicago
```bash
# Check logs
docker logs vera-ai --tail 50
docker logs VeraAI --tail 50
# Test Ollama connectivity
docker exec vera-ai python -c "
docker exec VeraAI python -c "
import urllib.request
print(urllib.request.urlopen('http://YOUR_OLLAMA_IP:11434/').read())
"
# Test Qdrant connectivity
docker exec vera-ai python -c "
docker exec VeraAI python -c "
import urllib.request
print(urllib.request.urlopen('http://YOUR_QDRANT_IP:6333/').read())
"
@@ -476,6 +485,8 @@ sudo lsof -i :11434
# Stop conflicting service or change port in config
```
---
## 🛠️ Development
### Build from Source
@@ -502,10 +513,14 @@ curl -X POST http://localhost:11434/api/chat \
curl -X POST http://localhost:11434/curator/run
```
---
## 📄 License
MIT License - see [LICENSE](LICENSE) file for details.
---
## 🤝 Support
| Resource | Link |