Overview
The AI Agent CLI is an autonomous command-line interface built with Python and the OpenAI SDK via OpenRouter. It interacts with the file system and executes Python code to solve tasks, debug code, and answer queries iteratively. The agent runs an autonomous loop that iterates up to 20 times, maintaining conversation history with Assistant and Tool roles until a final response is reached. It includes secure file system operations with strict path validation restricting actions to a designated directory. A custom tool calling architecture provides dedicated tools for listing directory contents and file metadata, reading file contents, writing and modifying files, and executing Python files and tests. A verbose mode tracks token usage, function calls, and real-time execution outputs. The tech stack includes Python, the OpenAI SDK and OpenRouter API, the Uv package manager, and Git/GitHub.
Pricing
Free
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Use Cases
- Developers use the agent to solve tasks by interacting with the file system and executing Python code.
- Teams use the agent to debug code through iterative execution and file operations.
- Users use the agent to answer queries by running an autonomous loop that maintains conversation history.
- Operators use the agent to list directory contents and file metadata via the get_files_info tool.
- Users use the agent to read file contents via the get_file_content tool.
- Developers use the agent to write and modify files via the write_file tool.
- Teams use the agent to execute Python files and tests via the run_python_file tool.
- Users enable verbose mode to track token usage, function calls, and real-time execution outputs.
Features
Runs as a command line agent
Manipulates files to complete tasks
Executes Python code during work
Iteratively debugs code issues
Answers user queries through agent iterations
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