Ov Server Operate logo

Ov Server Operate

OrganizationPopular
volcengine
ov-server-operate

Operate and maintain OpenViking server - configure, install, start, stop, and cleanup the server. Use when need to setup or manage OpenViking service deployment.

Overview

Publishervolcengine
RepositoryOpenViking
Skill nameov-server-operate
Stars
37.9K
Forks
2.9K
Bundled files
Instructions only
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by volcengine on GitHub. Read the source before you install it.

Installation

Install the Ov Server Operate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/volcengine/OpenViking.git /tmp/OpenViking
mkdir -p .claude/skills
cp -r /tmp/OpenViking/examples/skills/ov-server-operate .claude/skills/ov-server-operate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ov Server Operate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ov Server Operate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ov Server Operate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OpenViking Server Operations

This guide provides standard operating procedures for deploying, managing, and maintaining OpenViking servers in production environments.

Table of Content

  • Service Configuration
  • Environment Setup with uv
  • Server Startup with nohup
  • Server Shutdown
  • Data Cleanup Procedure
  • Verification and Troubleshooting

Service Configuration

Default Paths and Structure

OpenViking uses the following standard directory structure under ~/.openviking/:

~/.openviking/
├── ov.conf             # Server configuration (required)
├── ovcli.conf          # CLI client configuration
├── ov-venv/            # Virtual environment (created by uv)
├── log/                # Server log directory
│   ├── openviking-server.log   # server stdout log
│   └── openviking.log          # server log
└── data/               # Workspace data (configured in ov.conf)
    ├── ...
    └── ...

Configuration Files

1. Server Config (~/.openviking/ov.conf)

Create the configuration file with at minimum the following configuration. Note 1: Replace the api-key with your own api-key. If you don't have one, ask the user to get one (follow the Volcengine Ark platform guide). Note 2: Replace the root_api_key with your own root-api-key. Ask the user to set one — it will be used for authentication when the CLI connects to the server.

json
{
  "server": {
    "host": "0.0.0.0",
    "port": 1933,
    "root_api_key": "your-root-api-key"
  },
  "storage": {
    "workspace": "~/.openviking/data/"
  },
  "parsers": {
    "code": {
      "gitlab_domains": ["code.byted.org"],
      "azure_devops_domains": ["ssh.dev.azure.com", "vs-ssh.visualstudio.com"]
    }
  },
  "embedding": {
    "dense": {
        "model": "doubao-embedding-vision-251215",
        "api_key": "your-volcengine-api-key",
        "api_base": "https://ark.cn-beijing.volces.com/api/v3",
        "dimension": 1024,
        "input": "multimodal",
        "provider": "volcengine"
    }
  },
  "vlm": {
    "model": "doubao-seed-1-8-251228",
    "api_key": "your-volcengine-api-key",
    "api_base": "https://ark.cn-beijing.volces.com/api/v3",
    "temperature": 0.0,
    "max_retries": 2,
    "provider": "volcengine",
    "thinking": false
  },
  "log": {
    "level": "INFO",
    "output": "file",
    "rotation": true,
    "rotation_days": 3,
    "rotation_interval": "midnight"
  }
}
2. CLI Config (~/.openviking/ovcli.conf)

For client connections from localhost:

json
{
  "url": "http://localhost:1933",
  "api_key": "your-root-api-key"
}

For remote connections, set the url to the remote server address (for example, the server EIP).

Environment Setup with uv

Step 1: Install uv (if not already installed)

bash
# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Verify installation
uv --version

Step 2: Create Virtual Environment

Create a dedicated virtual environment at ~/.openviking/ov-venv:

bash
# Create venv with Python 3.10+
cd ~/.openviking
uv venv --python 3.12 ov-venv

Step 3: Activate and Install OpenViking

bash
# Activate the virtual environment
source ~/.openviking/ov-venv/bin/activate

# Install or upgrade to latest openviking
uv pip install --upgrade openviking --force-reinstall

# Verify installation
which openviking-server
openviking-server --version
openviking-server --help

Step 4: Create Log Directory

bash
mkdir -p ~/.openviking/log

Server Startup with nohup

Standard Startup Procedure

bash
# 1. Activate the virtual environment
source ~/.openviking/ov-venv/bin/activate

# 2. Ensure log directory exists
mkdir -p ~/.openviking/log

# 3. Start server with nohup
nohup openviking-server \
    > ~/.openviking/log/openviking-server.log 2>&1 &

# 4. Save PID for later reference
echo $! > ~/.openviking/server.pid

# 5. Verify startup after 10 secs
sleep 10
curl -s http://localhost:1933/health

Verify Server is Running

bash
# Method 1: Check health endpoint
curl http://localhost:1933/health
# Expected: {"status": "ok"}

# Method 2: Check readiness (includes storage checks)
curl http://localhost:1933/ready

# Method 3: Check process
ps aux | grep openviking-server | grep -v grep

# Method 4: Check log output
tail -10 ~/.openviking/log/openviking-server.log
tail -50 ~/.openviking/log/openviking.log

Server Shutdown

Graceful Shutdown Procedure

bash
# 1. Find the server process
ps aux | grep openviking-server | grep -v grep

# 2. Send SIGTERM for graceful shutdown
# Option A: Using saved PID
if [ -f ~/.openviking/server.pid ]; then
    kill $(cat ~/.openviking/server.pid)
    rm ~/.openviking/server.pid
fi

# Option B: Using pgrep
pkill -f openviking-server

# 3. Wait for process to stop
sleep 3

# 4. Verify it stopped
ps aux | grep openviking-server | grep -v grep || echo "Server stopped successfully"

# 5. If still running, force kill
if pgrep -f openviking-server > /dev/null; then
    echo "Force killing server..."
    pkill -9 -f openviking-server
fi

Data Cleanup Procedure

When to Use This Procedure

Perform full data cleanup in these scenarios:

  1. Version upgrade with incompatible data format
  2. Corrupted or inconsistent data
  3. Need to reset to fresh state
  4. Storage space reclamation

Standard Cleanup Workflow

CRITICAL: ALWAYS BACKUP BEFORE DELETING DATA

bash
# ==========================================
# STEP 1: STOP THE SERVER FIRST
# ==========================================
echo "Step 1: Stopping OpenViking Server..."
if pgrep -f openviking-server > /dev/null; then
    pkill -f openviking-server
    sleep 3
    if pgrep -f openviking-server > /dev/null; then
        pkill -9 -f openviking-server
        sleep 1
    fi
fi

# Verify server is stopped
if pgrep -f openviking-server > /dev/null; then
    echo "ERROR: Server still running! Cannot proceed."
    exit 1
fi
echo "✓ Server stopped"

# ==========================================
# STEP 2: CREATE BACKUP (REQUIRED)
# ==========================================
echo ""
echo "Step 2: Creating backup..."
BACKUP_DATE=$(date +%Y%m%d_%H%M%S)
BACKUP_DIR=~/.openviking/backup_${BACKUP_DATE}

mkdir -p ${BACKUP_DIR}

# Backup config files
cp ~/.openviking/ov.conf ${BACKUP_DIR}/ 2>/dev/null || true
cp ~/.openviking/ovcli.conf ${BACKUP_DIR}/ 2>/dev/null || true

# Backup workspace (if exists)
WORKSPACE=$(python3 -c '
import json
import os
config_path = os.path.expanduser("~/.openviking/ov.conf")
if os.path.exists(config_path):
    with open(config_path) as f:
        cfg = json.load(f)
        ws = cfg.get("storage", {}).get("workspace", "./data")
        print(os.path.expanduser(ws))
' 2>/dev/null || echo "~/.openviking/data")

if [ -d "${WORKSPACE}" ]; then
    echo "Backing up workspace: ${WORKSPACE}"
    tar -czf ${BACKUP_DIR}/workspace_backup.tar.gz -C $(dirname ${WORKSPACE}) $(basename ${WORKSPACE})
fi

# Backup log
if [ -d ~/.openviking/log ]; then
    cp -r ~/.openviking/log ${BACKUP_DIR}/ 2>/dev/null || true
fi

echo "✓ Backup created at: ${BACKUP_DIR}"
ls -lh ${BACKUP_DIR}/

# ==========================================
# STEP 3: CONFIRM DELETION
# ==========================================
echo ""
echo "=========================================="
echo "WARNING: ABOUT TO DELETE ALL DATA!"
echo "=========================================="
echo "Workspace to delete: ${WORKSPACE}"
echo "Backup location: ${BACKUP_DIR}"
echo ""
read -p "Type 'DELETE' to confirm data removal: " CONFIRM

if [ "${CONFIRM}" != "DELETE" ]; then
    echo "Cleanup cancelled. Backup preserved at ${BACKUP_DIR}"
    exit 0
fi

# ==========================================
# STEP 4: DELETE DATA
# ==========================================
echo ""
echo "Step 4: Deleting data..."

# Delete workspace
if [ -d "${WORKSPACE}" ]; then
    echo "Deleting workspace: ${WORKSPACE}"
    rm -rf "${WORKSPACE}"
fi

# Optional: Delete old log (uncomment if needed)
# echo "Deleting old log..."
# rm -rf ~/.openviking/log/*

# Cleanup any temporary files
rm -f ~/.openviking/server.pid

echo "✓ Data deleted successfully"

# ==========================================
# STEP 5: COMPLETION
# ==========================================
echo ""
echo "=========================================="
echo "Cleanup Complete!"
echo "=========================================="
echo "Backup preserved at: ${BACKUP_DIR}"
echo ""
echo "Next steps:"
echo "1. Reconfigure ov.conf if needed"
echo "2. Start the server: openviking-server"
echo "3. Verify with: curl http://localhost:1933/health"
echo ""
echo "To restore from backup:"
echo "  tar -xzf ${BACKUP_DIR}/workspace_backup.tar.gz -C $(dirname ${WORKSPACE})"

Quick Cleanup (for Development Only)

bash
# WARNING: Only use in development!
# No backup created - data loss guaranteed!

# 1. Stop server
pkill -f openviking-server
sleep 2
pkill -9 -f openviking-server 2>/dev/null || true

# 2. Delete workspace (adjust path as needed)
rm -rf ~/.openviking/data

# 3. Cleanup PID and temp files
rm -f ~/.openviking/server.pid

echo "Quick cleanup complete"

Verification and Troubleshooting

Health Check Verification

bash
# Basic health check (always available)
curl http://localhost:1933/health
# Expected: {"status": "ok"}

# Readiness check (verifies all components)
curl http://localhost:1933/ready
# Expected: {"status": "ready", "checks": {"agfs": "ok", "vectordb": "ok", "api_key_manager": "ok"}}

# System status via CLI (~/.openviking/ovcli.conf should be configured)
ov status

Common Issues and Solutions

Issue: Server won't start

Check:

bash
# 1. Check if port is in use
lsof -i :1933
netstat -tulpn | grep 1933

# 2. Check log for errors
tail -10 ~/.openviking/log/openviking-server.log
tail -100 ~/.openviking/log/openviking.log


# 3. Verify config file is valid JSON
python3 -c 'import json, os; json.load(open(os.path.expanduser("~/.openviking/ov.conf"))); print("Config is valid")'

# 4. Verify virtual environment
source ~/.openviking/ov-venv/bin/activate
which openviking-server
pip list | grep openviking

Solution:

bash
# If port conflict: kill the process or use different port
lsof -ti :1933 | xargs kill -9 2>/dev/null || true

# Or start on different port
nohup openviking-server --port 1934 > ~/.openviking/log/openviking-server.log 2>&1 &
Issue: API Key Errors

Check:

bash
# Verify API keys in config
python3 -c '
import json, os
cfg = json.load(open(os.path.expanduser("~/.openviking/ov.conf")))
print("Embedding provider:", cfg.get("embedding", {}).get("dense", {}).get("provider"))
print("VLM provider:", cfg.get("vlm", {}).get("provider"))
print("API keys set:", bool(cfg.get("embedding", {}).get("dense", {}).get("api_key")), bool(cfg.get("vlm", {}).get("api_key")))
'

Solution: Verify API keys are correct and have the required permissions. Check network connectivity to the model provider endpoints. Ensure API keys are not expired.

Prerequisites

  • Python 3.10+ installed
  • uv package manager available
  • Sufficient disk space for workspace and log
  • API keys for embedding and VLM models configured
  • Network access to model providers (if using cloud models)

Frequently asked questions

What does the Ov Server Operate AI skill do?

Operate and maintain OpenViking server - configure, install, start, stop, and cleanup the server. Use when need to setup or manage OpenViking service deployment.

Why use Ov Server Operate on TypingMind?

Because you install it once and use it with any model. Ov Server Operate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ov Server Operate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/volcengine/OpenViking/tree/main/examples/skills/ov-server-operate. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ov Server Operate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ov Server Operate?

As many as you like. As long as a model supports skills, you can use Ov Server Operate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ov Server Operate AI skill free?

Yes. It is published on GitHub by volcengine under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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