Selenium-AI-Agentic

Agentic.mp4

Objective

Transform natural language instructions into automated browser interactions using Selenium, powered by Google Gemini’s generative language API.

Architecture & Features

• Generative AI Integration
  Utilizes Google Gemini API to convert user prompts into executable Selenium command scripts.

• Browser Automation Layer
  Employs Selenium WebDriver with ChromeDriver and applies anti-detection techniques (e.g., user-agent spoofing, webdriver masking).

• Command Parsing & Execution
  Supports a simple DSL with commands:

  • OPEN("url") — navigate to a URL
  • TYPE("selector", "text") — input text into a DOM element
  • CLICK("selector") — click on an element
  • WAIT(seconds) — pause execution for given seconds

• Reliability & Logging
  Implements robust error handling, exponential backoff retry on API calls, detailed logging to file and console.

• Persistence & Traceability
  Saves prompt-response pairs with timestamps in JSON format for audit trails and debugging.

• Configuration Management
  Loads API keys and runtime parameters from config.json, with sensible defaults for fallback.

Execution Flow

1. User inputs high-level natural language instruction.
2. Instruction is wrapped into a prompt and sent to Google Gemini API.
3. Received Selenium command script is parsed and executed step-by-step in Chrome browser.
4. All interactions and errors are logged and persisted.

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This design enables flexible, AI-driven browser automation suitable for a wide range of tasks requiring natural language control.