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Vera-AI
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README.md
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README.md
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# Vera-AI: Persistent Memory Proxy for Ollama
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<div align="center">
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[](https://hub.docker.com/r/vera-ai/latest)
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# Vera-AI
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**Vera-AI** is a transparent proxy for Ollama that adds persistent memory using Qdrant vector storage. It sits between your AI client and Ollama, automatically augmenting conversations with relevant context from previous sessions.
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### *Vera* (Latin): **True** — *True AI*
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## Features
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**Persistent Memory Proxy for Ollama**
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- **Persistent Memory**: Conversations are stored in Qdrant and retrieved contextually
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- **Monthly Curation**: Daily and monthly cleanup of raw memories
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- **4-Layer Context**: System prompt + semantic memory + recent context + current messages
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- **Configurable UID/GID**: Match container user to host user for volume permissions
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- **Timezone Support**: Scheduler runs in your local timezone
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- **Debug Logging**: Optional debug logs written to configurable directory
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*A transparent proxy that gives your AI conversations lasting memory.*
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## Prerequisites
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[](https://hub.docker.com/r/vera-ai/latest)
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[](LICENSE)
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[](http://10.0.0.61:3000/SpeedyFoxAi/vera-ai-v2)
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- **Ollama**: Running LLM inference server (e.g., `http://10.0.0.10:11434`)
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- **Qdrant**: Running vector database (e.g., `http://10.0.0.22:6333`)
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- **Docker**: Docker and Docker Compose installed
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- **Git**: For cloning the repository
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---
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## Quick Start
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**Vera-AI sits between your AI client and Ollama, automatically augmenting conversations with relevant context from previous sessions.**
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Every conversation is stored in Qdrant vector database and retrieved contextually — giving your AI **true memory**.
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</div>
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---
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## 🌟 Features
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| Feature | Description |
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|---------|-------------|
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| **🧠 Persistent Memory** | Conversations stored in Qdrant, retrieved contextually |
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| **📅 Monthly Curation** | Daily + monthly cleanup of raw memories |
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| **🔍 4-Layer Context** | System + semantic + recent + current messages |
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| **👤 Configurable UID/GID** | Match container user to host for permissions |
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| **🌍 Timezone Support** | Scheduler runs in your local timezone |
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| **📝 Debug Logging** | Optional logs written to configurable directory |
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| **🐳 Docker Ready** | One-command build and run |
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## 📋 Prerequisites
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| Requirement | Description |
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|-------------|-------------|
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| **Ollama** | LLM inference server (e.g., `http://10.0.0.10:11434`) |
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| **Qdrant** | Vector database (e.g., `http://10.0.0.22:6333`) |
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| **Docker** | Docker and Docker Compose installed |
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| **Git** | For cloning the repository |
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## 🚀 Quick Start
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```bash
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# Clone the repository
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# 1. Clone
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git clone http://10.0.0.61:3000/SpeedyFoxAi/vera-ai-v2.git
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cd vera-ai-v2
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# Create environment file from template
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# 2. Configure
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cp .env.example .env
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nano .env # Set APP_UID, APP_GID, TZ
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# Edit .env with your settings
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nano .env
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# Create required directories
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# 3. Create directories
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mkdir -p config prompts logs
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# Copy default config (or create your own)
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cp config.toml config/
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# Build and run
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# 4. Run
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docker compose build
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docker compose up -d
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# Test
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# 5. Test
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curl http://localhost:11434/
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# Expected: {"status":"ok","ollama":"reachable"}
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```
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## Full Setup Instructions
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## 📖 Full Setup Guide
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### 1. Clone Repository
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### Step 1: Clone Repository
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```bash
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git clone http://10.0.0.61:3000/SpeedyFoxAi/vera-ai-v2.git
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cd vera-ai-v2
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```
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### 2. Create Environment File
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### Step 2: Environment Configuration
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Create `.env` file (or copy from `.env.example`):
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```bash
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# User/Group Configuration (match your host user)
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APP_UID=1000
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APP_GID=1000
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# ═══════════════════════════════════════════════════════════════
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# User/Group Configuration
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# ═══════════════════════════════════════════════════════════════
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# IMPORTANT: Match these to your host user for volume permissions
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APP_UID=1000 # Run: id -u to get your UID
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APP_GID=1000 # Run: id -g to get your GID
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# ═══════════════════════════════════════════════════════════════
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# Timezone Configuration
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# ═══════════════════════════════════════════════════════════════
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# Affects curator schedule (daily at 02:00, monthly on 1st at 03:00)
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TZ=America/Chicago
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# API Keys (optional)
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# ═══════════════════════════════════════════════════════════════
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# Optional: Cloud Model Routing
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# ═══════════════════════════════════════════════════════════════
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# OPENROUTER_API_KEY=your_api_key_here
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```
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**Important:** `APP_UID` and `APP_GID` must match your host user's UID/GID for volume permissions:
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### Step 3: Directory Structure
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```bash
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# Get your UID and GID
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id -u # UID
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id -g # GID
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# Set in .env
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APP_UID=1000 # Replace with your UID
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APP_GID=1000 # Replace with your GID
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```
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### 3. Create Required Directories
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```bash
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# Create directories
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# Create required directories
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mkdir -p config prompts logs
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# Copy default configuration
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cp config.toml config/
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# Verify prompts exist (should be in the repo)
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# Verify prompts exist
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ls -la prompts/
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# Should show: curator_prompt.md, systemprompt.md
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```
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### 4. Configure Ollama and Qdrant
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### Step 4: Configure Services
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Edit `config/config.toml`:
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```toml
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[general]
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ollama_host = "http://YOUR_OLLAMA_IP:11434"
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qdrant_host = "http://YOUR_QDRANT_IP:6333"
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# Your Ollama server
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ollama_host = "http://10.0.0.10:11434"
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# Your Qdrant server
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qdrant_host = "http://10.0.0.22:6333"
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qdrant_collection = "memories"
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# Embedding model for semantic search
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embedding_model = "snowflake-arctic-embed2"
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debug = false
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[layers]
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# Token budgets for context layers
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semantic_token_budget = 25000
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context_token_budget = 22000
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semantic_search_turns = 2
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semantic_score_threshold = 0.6
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[curator]
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run_time = "02:00" # Daily curator time
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full_run_time = "03:00" # Monthly full curator time
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full_run_day = 1 # Day of month (1st)
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# Daily curator: processes recent 24h
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run_time = "02:00"
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# Monthly curator: processes ALL raw memories
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full_run_time = "03:00"
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full_run_day = 1 # Day of month (1st)
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# Model for curation
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curator_model = "gpt-oss:120b"
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```
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### 5. Build and Run
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### Step 5: Build and Run
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```bash
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# Build with your UID/GID
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APP_UID=$(id -u) APP_GID=$(id -g) docker compose build
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# Run with timezone
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# Start container
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docker compose up -d
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# Check status
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docker ps
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docker logs vera-ai --tail 20
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# Test health endpoint
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curl http://localhost:11434/
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# Expected: {"status":"ok","ollama":"reachable"}
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```
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### 6. Verify Installation
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### Step 6: Verify Installation
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```bash
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# Check container is healthy
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# ✅ Health check
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curl http://localhost:11434/
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# Expected: {"status":"ok","ollama":"reachable"}
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# ✅ Container status
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docker ps --format "table {{.Names}}\t{{.Status}}"
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# Expected: vera-ai Up X minutes (healthy)
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# Check timezone
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# ✅ Timezone
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docker exec vera-ai date
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# Should show your timezone (e.g., CDT for America/Chicago)
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# Check user
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# ✅ User permissions
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docker exec vera-ai id
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# Expected: uid=1000(appuser) gid=1000(appgroup)
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# Check directories
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# ✅ Directories
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docker exec vera-ai ls -la /app/prompts/
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# Should show: curator_prompt.md, systemprompt.md
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docker exec vera-ai ls -la /app/logs/
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# Should be writable
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# Test chat
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# ✅ Test chat
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curl -X POST http://localhost:11434/api/chat \
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-H "Content-Type: application/json" \
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-d '{"model":"YOUR_MODEL","messages":[{"role":"user","content":"hello"}],"stream":false}'
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-d '{"model":"qwen3.5:397b-cloud","messages":[{"role":"user","content":"hello"}],"stream":false}'
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```
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## Configuration
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## ⚙️ Configuration Reference
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### Environment Variables (.env)
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### Environment Variables
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| Variable | Default | Description |
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|----------|---------|-------------|
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| `APP_UID` | `999` | User ID for container user (match your host UID) |
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| `APP_GID` | `999` | Group ID for container group (match your host GID) |
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| `TZ` | `UTC` | Timezone for scheduler |
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| `OPENROUTER_API_KEY` | - | API key for cloud model routing (optional) |
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| `VERA_CONFIG_DIR` | `/app/config` | Configuration directory (optional) |
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| `VERA_PROMPTS_DIR` | `/app/prompts` | Prompts directory (optional) |
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| `VERA_LOG_DIR` | `/app/logs` | Debug log directory (optional) |
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| `APP_UID` | `999` | Container user ID (match host) |
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| `APP_GID` | `999` | Container group ID (match host) |
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| `TZ` | `UTC` | Container timezone |
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| `OPENROUTER_API_KEY` | - | Cloud model routing key |
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| `VERA_CONFIG_DIR` | `/app/config` | Config directory |
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| `VERA_PROMPTS_DIR` | `/app/prompts` | Prompts directory |
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| `VERA_LOG_DIR` | `/app/logs` | Debug logs directory |
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### Volume Mappings
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| Host Path | Container Path | Mode | Purpose |
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|-----------|---------------|------|---------|
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| `./config/config.toml` | `/app/config/config.toml` | `ro` | Configuration file |
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| `./prompts/` | `/app/prompts/` | `rw` | Curator and system prompts |
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| `./logs/` | `/app/logs/` | `rw` | Debug logs (when debug=true) |
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|-----------|----------------|------|---------|
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| `./config/config.toml` | `/app/config/config.toml` | `ro` | Configuration |
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| `./prompts/` | `/app/prompts/` | `rw` | Curator prompts |
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| `./logs/` | `/app/logs/` | `rw` | Debug logs |
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### Directory Structure
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```
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vera-ai-v2/
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├── config/
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│ └── config.toml # Main configuration (mounted read-only)
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├── prompts/
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│ ├── curator_prompt.md # Prompt for memory curator
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│ └── systemprompt.md # System context (curator can append)
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├── logs/ # Debug logs (when debug=true)
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├── app/
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│ ├── main.py # FastAPI application
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│ ├── config.py # Configuration loading
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│ ├── curator.py # Memory curation
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│ ├── proxy_handler.py # Chat request handling
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│ ├── qdrant_service.py # Qdrant operations
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│ ├── singleton.py # QdrantService singleton
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│ └── utils.py # Utilities
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├── static/ # Legacy (symlinks to prompts/)
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├── .env.example # Environment template
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├── docker-compose.yml # Docker Compose config
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├── Dockerfile # Container definition
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├── requirements.txt # Python dependencies
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└── README.md # This file
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├── 📁 config/
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│ └── 📄 config.toml # Main configuration
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├── 📁 prompts/
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│ ├── 📄 curator_prompt.md # Memory curation prompt
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│ └── 📄 systemprompt.md # System context
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├── 📁 logs/ # Debug logs (when debug=true)
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├── 📁 app/
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│ ├── 🐍 main.py # FastAPI application
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│ ├── 🐍 config.py # Configuration loader
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│ ├── 🐍 curator.py # Memory curation
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│ ├── 🐍 proxy_handler.py # Chat handling
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│ ├── 🐍 qdrant_service.py # Vector operations
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│ ├── 🐍 singleton.py # QdrantService singleton
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│ └── 🐍 utils.py # Utilities
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├── 📁 static/ # Legacy symlinks
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├── 📄 .env.example # Environment template
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├── 📄 docker-compose.yml # Docker Compose
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├── 📄 Dockerfile # Container definition
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├── 📄 requirements.txt # Python dependencies
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└── 📄 README.md # This file
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```
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## Docker Compose
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## 🐳 Docker Compose
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```yaml
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services:
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@@ -233,8 +259,11 @@ services:
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env_file:
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- .env
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volumes:
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# Configuration (read-only)
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- ./config/config.toml:/app/config/config.toml:ro
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# Prompts (read-write for curator)
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- ./prompts:/app/prompts:rw
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# Debug logs (read-write)
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- ./logs:/app/logs:rw
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network_mode: "host"
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restart: unless-stopped
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@@ -246,37 +275,36 @@ services:
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start_period: 10s
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```
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## Timezone Configuration
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## 🌍 Timezone Configuration
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The `TZ` environment variable sets the container timezone, which affects the scheduler:
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The `TZ` variable sets the container timezone for the scheduler:
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```bash
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# .env file
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TZ=America/Chicago
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# Scheduler runs at:
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# - Daily curator: 02:00 Chicago time
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# - Monthly curator: 03:00 Chicago time on 1st
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# Common timezones
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TZ=UTC # Coordinated Universal Time
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TZ=America/New_York # Eastern Time
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TZ=America/Chicago # Central Time
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TZ=America/Los_Angeles # Pacific Time
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TZ=Europe/London # GMT/BST
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```
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Common timezones:
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- `UTC` - Coordinated Universal Time
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||||
- `America/New_York` - Eastern Time
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||||
- `America/Chicago` - Central Time
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||||
- `America/Los_Angeles` - Pacific Time
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- `Europe/London` - GMT/BST
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**Curation Schedule:**
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| Schedule | Time | What | Frequency |
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|----------|------|------|-----------|
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| Daily | 02:00 | Recent 24h | Every day |
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| Monthly | 03:00 on 1st | ALL raw memories | 1st of month |
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## API Endpoints
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## 🔌 API Endpoints
|
||||
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| Endpoint | Method | Description |
|
||||
|----------|--------|-------------|
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| `/` | GET | Health check |
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| `/api/chat` | POST | Chat completion (augmented with memory) |
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| `/api/tags` | GET | List models |
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| `/api/generate` | POST | Generate completion |
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| `/curator/run` | POST | Trigger curator manually |
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| `/` | `GET` | Health check |
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| `/api/chat` | `POST` | Chat completion (with memory) |
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| `/api/tags` | `GET` | List available models |
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| `/api/generate` | `POST` | Generate completion |
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| `/curator/run` | `POST` | Trigger curator manually |
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## Manual Curator Trigger
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### Manual Curation
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||||
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```bash
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# Daily curation (recent 24h)
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@@ -286,119 +314,132 @@ curl -X POST http://localhost:11434/curator/run
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curl -X POST "http://localhost:11434/curator/run?full=true"
|
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```
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## Memory System
|
||||
## 🧠 Memory System
|
||||
|
||||
### 4-Layer Context
|
||||
|
||||
1. **System Prompt**: From `prompts/systemprompt.md`
|
||||
2. **Semantic Memory**: Curated Q&A pairs retrieved by relevance
|
||||
3. **Recent Context**: Last N conversation turns
|
||||
4. **Current Messages**: User/assistant messages from request
|
||||
|
||||
### Curation Schedule
|
||||
|
||||
| Schedule | Time | What | Frequency |
|
||||
|----------|------|------|-----------|
|
||||
| Daily | 02:00 | Recent 24h raw memories | Every day |
|
||||
| Monthly | 03:00 on 1st | ALL raw memories | 1st of month |
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────┐
|
||||
│ Layer 1: System Prompt │
|
||||
│ - From prompts/systemprompt.md │
|
||||
│ - Static context, curator can append rules │
|
||||
├─────────────────────────────────────────────────────────────┤
|
||||
│ Layer 2: Semantic Memory │
|
||||
│ - Curated Q&A pairs from Qdrant │
|
||||
│ - Retrieved by relevance to current message │
|
||||
├─────────────────────────────────────────────────────────────┤
|
||||
│ Layer 3: Recent Context │
|
||||
│ - Last N conversation turns from Qdrant │
|
||||
│ - Chronological order │
|
||||
├─────────────────────────────────────────────────────────────┤
|
||||
│ Layer 4: Current Messages │
|
||||
│ - User/assistant messages from current request │
|
||||
│ - Passed through unchanged │
|
||||
└─────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
### Memory Types
|
||||
|
||||
- **raw**: Unprocessed conversation turns
|
||||
- **curated**: Cleaned, summarized Q&A pairs
|
||||
- **test**: Test entries (can be ignored)
|
||||
| Type | Description | Retention |
|
||||
|------|-------------|-----------|
|
||||
| `raw` | Unprocessed conversation turns | Until curation |
|
||||
| `curated` | Cleaned Q&A pairs | Permanent |
|
||||
| `test` | Test entries | Can be ignored |
|
||||
|
||||
## Troubleshooting
|
||||
## 🔧 Troubleshooting
|
||||
|
||||
### Permission Denied
|
||||
|
||||
If you see permission errors on `/app/prompts/` or `/app/logs/`:
|
||||
|
||||
```bash
|
||||
# Check your UID/GID
|
||||
id
|
||||
|
||||
# Rebuild with correct UID/GID
|
||||
# Rebuild with correct values
|
||||
APP_UID=$(id -u) APP_GID=$(id -g) docker compose build --no-cache
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
### Timezone Issues
|
||||
|
||||
If curator runs at wrong time:
|
||||
### Wrong Timezone
|
||||
|
||||
```bash
|
||||
# Check container timezone
|
||||
# Check container time
|
||||
docker exec vera-ai date
|
||||
|
||||
# Set correct timezone in .env
|
||||
# Fix in .env
|
||||
TZ=America/Chicago
|
||||
```
|
||||
|
||||
### Health Check Failing
|
||||
|
||||
```bash
|
||||
# Check container logs
|
||||
# Check logs
|
||||
docker logs vera-ai --tail 50
|
||||
|
||||
# Check Ollama connectivity
|
||||
docker exec vera-ai python -c "import urllib.request; print(urllib.request.urlopen('http://YOUR_OLLAMA_IP:11434/').read())"
|
||||
# Test Ollama connectivity
|
||||
docker exec vera-ai python -c "
|
||||
import urllib.request
|
||||
print(urllib.request.urlopen('http://YOUR_OLLAMA_IP:11434/').read())
|
||||
"
|
||||
|
||||
# Check Qdrant connectivity
|
||||
docker exec vera-ai python -c "import urllib.request; print(urllib.request.urlopen('http://YOUR_QDRANT_IP:6333/').read())"
|
||||
# Test Qdrant connectivity
|
||||
docker exec vera-ai python -c "
|
||||
import urllib.request
|
||||
print(urllib.request.urlopen('http://YOUR_QDRANT_IP:6333/').read())
|
||||
"
|
||||
```
|
||||
|
||||
### Container Not Starting
|
||||
### Port Already in Use
|
||||
|
||||
```bash
|
||||
# Check if port is in use
|
||||
# Check what's using port 11434
|
||||
sudo lsof -i :11434
|
||||
|
||||
# Check Docker logs
|
||||
docker compose logs
|
||||
|
||||
# Rebuild from scratch
|
||||
docker compose down
|
||||
docker compose build --no-cache
|
||||
docker compose up -d
|
||||
# Stop conflicting service or change port in config
|
||||
```
|
||||
|
||||
## Development
|
||||
## 🛠️ Development
|
||||
|
||||
### Building from Source
|
||||
### Build from Source
|
||||
|
||||
```bash
|
||||
# Clone repository
|
||||
git clone http://10.0.0.61:3000/SpeedyFoxAi/vera-ai-v2.git
|
||||
cd vera-ai-v2
|
||||
|
||||
# Install dependencies locally (optional)
|
||||
pip install -r requirements.txt
|
||||
|
||||
# Build Docker image
|
||||
docker compose build
|
||||
```
|
||||
|
||||
### Running Tests
|
||||
### Run Tests
|
||||
|
||||
```bash
|
||||
# Test health endpoint
|
||||
# Health check
|
||||
curl http://localhost:11434/
|
||||
|
||||
# Test chat endpoint
|
||||
# Non-streaming chat
|
||||
curl -X POST http://localhost:11434/api/chat \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"model":"qwen3.5:397b-cloud","messages":[{"role":"user","content":"test"}],"stream":false}'
|
||||
|
||||
# Test curator
|
||||
# Trigger curation
|
||||
curl -X POST http://localhost:11434/curator/run
|
||||
```
|
||||
|
||||
## License
|
||||
## 📄 License
|
||||
|
||||
MIT License - see LICENSE file for details.
|
||||
MIT License - see [LICENSE](LICENSE) file for details.
|
||||
|
||||
## Support
|
||||
## 🤝 Support
|
||||
|
||||
- **Issues**: http://10.0.0.61:3000/SpeedyFoxAi/vera-ai-v2/issues
|
||||
- **Repository**: http://10.0.0.61:3000/SpeedyFoxAi/vera-ai-v2
|
||||
| Resource | Link |
|
||||
|----------|------|
|
||||
| **Repository** | http://10.0.0.61:3000/SpeedyFoxAi/vera-ai-v2 |
|
||||
| **Issues** | http://10.0.0.61:3000/SpeedyFoxAi/vera-ai-v2/issues |
|
||||
|
||||
---
|
||||
|
||||
<div align="center">
|
||||
|
||||
**Vera-AI** — *True AI Memory*
|
||||
|
||||
Made with ❤️ by the OpenClaw team
|
||||
|
||||
</div>
|
||||
Reference in New Issue
Block a user