BrowserWing Admin

wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | sudo apt-key add -
echo "deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main" | sudo tee /etc/apt/sources.list.d/google-chrome.list
sudo apt-get update
sudo apt-get install -y google-chrome-stable

brew install --cask google-chrome

google-chrome --version
# or on macOS:
# /Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --version

google-chrome --remote-debugging-port=9222 --remote-debugging-address=0.0.0.0 --no-sandbox

[browser]
control_url = 'http://<remote-host>:9222'

curl -X GET 'http://localhost:8080/api/v1/llm-configs'

curl -X POST 'http://localhost:8080/api/v1/llm-configs' \
  -H 'Content-Type: application/json' \
  -d '{
    "name": "my-openai",
    "provider": "openai",
    "api_key": "sk-xxx",
    "model": "gpt-4o",
    "base_url": "https://api.openai.com/v1",
    "is_active": true,
    "is_default": true
  }'

curl -X POST 'http://localhost:8080/api/v1/llm-configs/test' \
  -H 'Content-Type: application/json' \
  -d '{"name": "my-openai"}'

curl -X PUT 'http://localhost:8080/api/v1/llm-configs/<config-id>' \
  -H 'Content-Type: application/json' \
  -d '{"api_key": "sk-new-key", "model": "gpt-4o-mini"}'

curl -X DELETE 'http://localhost:8080/api/v1/llm-configs/<config-id>'

curl -X POST 'http://localhost:8080/api/v1/ai-explore/start' \
  -H 'Content-Type: application/json' \
  -d '{
    "task_desc": "Go to bilibili.com, search for 'AI', and get the first page of video results",
    "start_url": "https://www.bilibili.com",
    "llm_config_id": "my-openai"
  }'

curl -N 'http://localhost:8080/api/v1/ai-explore/<session-id>/stream'

curl -X POST 'http://localhost:8080/api/v1/ai-explore/<session-id>/stop'

curl -X GET 'http://localhost:8080/api/v1/ai-explore/<session-id>/script'

curl -X POST 'http://localhost:8080/api/v1/ai-explore/<session-id>/save'

curl -X GET 'http://localhost:8080/api/v1/scripts'

curl -X GET 'http://localhost:8080/api/v1/scripts/<script-id>'

curl -X GET 'http://localhost:8080/api/v1/scripts/summary'

curl -X POST 'http://localhost:8080/api/v1/scripts' \
  -H 'Content-Type: application/json' \
  -d '{
    "name": "Search Bilibili",
    "description": "Search for a keyword on Bilibili",
    "url": "https://www.bilibili.com",
    "actions": [
      {"type": "navigate", "url": "https://www.bilibili.com"},
      {"type": "click", "identifier": ".nav-search-input"},
      {"type": "type", "identifier": ".nav-search-input", "value": "${keyword}"},
      {"type": "press_key", "key": "Enter"},
      {"type": "wait", "timeout": 3}
    ]
  }'

curl -X PUT 'http://localhost:8080/api/v1/scripts/<script-id>' \
  -H 'Content-Type: application/json' \
  -d '{"name": "Updated Name", "description": "Updated description"}'

curl -X DELETE 'http://localhost:8080/api/v1/scripts/<script-id>'

curl -X POST 'http://localhost:8080/api/v1/scripts/export/skill' \
  -H 'Content-Type: application/json' \
  -d '{
    "script_ids": ["script-id-1", "script-id-2", "script-id-3"]
  }'

curl -X POST 'http://localhost:8080/api/v1/scripts/export/skill' \
  -H 'Content-Type: application/json' \
  -d '{"script_ids": []}'

curl -X GET 'http://localhost:8080/api/v1/executor/export/skill'

1. Create scripts (manually, by recording, or via AI exploration)
2. Export them as SKILL.md: POST /scripts/export/skill
3. Place the SKILL.md in your AI agent's skill directory
4. The AI agent can now discover and call your scripts via POST /scripts/<id>/play

curl -X POST 'http://localhost:8080/api/v1/scripts/<script-id>/play' \
  -H 'Content-Type: application/json' \
  -d '{
    "variables": {
      "keyword": "deepseek"
    }
  }'

curl -X GET 'http://localhost:8080/api/v1/scripts/play/result'

curl -X GET 'http://localhost:8080/api/v1/script-executions?page=1&page_size=20'

# TODO: curl -X GET 'http://localhost:8080/api/v1/marketplace/scripts?category=search&page=1'

# TODO: curl -X POST 'http://localhost:8080/api/v1/marketplace/scripts/<remote-id>/install'

SSE:     http://localhost:8080/api/v1/mcp/sse
Message: http://localhost:8080/api/v1/mcp/sse_message

curl -X GET 'http://localhost:8080/api/v1/mcp/status'

curl -X GET 'http://localhost:8080/api/v1/mcp/commands'

curl -X GET 'http://localhost:8080/api/v1/prompts'

curl -X GET 'http://localhost:8080/api/v1/prompts/<prompt-id>'

curl -X PUT 'http://localhost:8080/api/v1/prompts/<prompt-id>' \
  -H 'Content-Type: application/json' \
  -d '{"content": "Your custom prompt content here..."}'

curl -X GET 'http://localhost:8080/api/v1/browser/instances'

curl -X POST 'http://localhost:8080/api/v1/browser/instances/<id>/start'

curl -X POST 'http://localhost:8080/api/v1/browser/instances/<id>/stop'

curl -X GET 'http://localhost:8080/api/v1/cookies/browser'

curl -X POST 'http://localhost:8080/api/v1/browser/cookies/save'

curl -X POST 'http://localhost:8080/api/v1/browser/cookies/import' \
  -H 'Content-Type: application/json' \
  -d '{
    "url": "https://example.com",
    "cookies": [
      {
        "name": "session_id",
        "value": "abc123",
        "domain": ".example.com",
        "path": "/",
        "secure": true,
        "httpOnly": true,
        "sameSite": "Lax",
        "expires": 1735689600
      }
    ]
  }'

curl -X POST 'http://localhost:8080/api/v1/browser/cookies/delete' \
  -H 'Content-Type: application/json' \
  -d '{
    "id": "browser",
    "name": "session_id",
    "domain": ".example.com",
    "path": "/"
  }'

curl -X POST 'http://localhost:8080/api/v1/browser/cookies/batch/delete' \
  -H 'Content-Type: application/json' \
  -d '{
    "id": "browser",
    "cookies": [
      {"name": "session_id", "domain": ".example.com", "path": "/"},
      {"name": "tracking", "domain": ".example.com", "path": "/"}
    ]
  }'