Simulate Gemini CLI terminal logs with read_file, run_shell_command, and Gemini API responses. Perfect for Google AI coding tool demos and integration testing.
Press Ctrl + C to exit. Output is simulated for demo purposes only.
This module simulates REPL, read_file, and run_shell_command log events with realistic pacing.
It is designed for demos, log pipeline testing, and documentation where the real stack is unavailable.
All output is generated locally in the browser and is safe to run.
Gemini CLI · Build, debug & deploy with AI
Tool: read_file
path: src/components/LoginForm.tsx
✓ read_file completed
Tool: run_shell_command
✓ run_shell_command completed
Summary: Refactored LoginForm to use React Hook Form. No. It is a simulator that prints log text only.
Yes. The CLI supports speed and repeat options, and the web page can be refreshed.
No. It does not install, update, or modify anything.
Gemini CLI lets you build, debug, and deploy with AI from the terminal. It uses a REPL, tools like read_file and run_shell_command, and connects to the Gemini API.
This simulator reproduces that style so you can demo or test integrations without calling the real Gemini CLI.
Popular questions and answers from Stack Overflow related to Gemini CLI.
Start gemini-cli in your project directory, describe what you want to build, and Gemini will use tools like read_file and write_file to generate code. Review changes before accepting.
Gemini CLI maintains conversation context and can read files from your project. Use @file syntax to reference specific files. It tracks recent changes and can build on previous responses.
Install via npm: npm install -g @anthropic-ai/gemini-cli. Set GEMINI_API_KEY environment variable. Run "gemini" in terminal to start. Requires Node.js 18+.
Use --model flag to specify model: gemini --model gemini-pro or gemini-ultra. Different models have different capabilities and costs. Check Google AI docs for available models.
Yes, Gemini CLI can execute shell commands with run_shell_command tool. It asks for confirmation before running commands. Use for build scripts, tests, git operations, and system tasks.
Gemini CLI respects .gitignore by default. Create .geminiignore for additional exclusions. Use sandbox mode for restricted access. Sensitive files should be in ignore patterns.
Share error messages and relevant code files. Ask Gemini to analyze stack traces, suggest fixes, and explain the issue. It can read logs and propose solutions based on error patterns.
Gemini CLI has built-in rate limiting awareness. If limits are hit, it will wait and retry. For heavy usage, consider paid API tier. Monitor usage in Google Cloud Console.
Yes, Gemini CLI can use web_fetch tool to retrieve information from URLs. Useful for documentation, API references, and current information. Respects robots.txt.
Conversations are saved in ~/.gemini/history/. Export to markdown with gemini export command. Include --full flag for complete context. Useful for documentation and sharing.
Popular video tutorials to learn more about Gemini CLI.
The Net Ninja
In this Gemini CLI Crash Course series, I'll show you how to get up an running wth the CLI in a project, use extensions & MCP servers, add an API key to access Gemini 3 models and more.
Watch on YouTubeFireship
Practical guide to building applications with Gemini AI including multimodal inputs, function calling, and best practices.
Watch on YouTube
