Kolo is a text-based Python debugger specifically engineered for AI agents. It addresses the challenge of understanding complex execution flows by capturing comprehensive runtime data—including function calls, return values, local variables, and HTTP requests—into easily searchable, greppable plain text trace files. This facilitates rapid inspection, visualization, and debugging, significantly benefiting developers working with AI systems.

How It Works

Kolo operates by instrumenting Python code to meticulously log key execution events. Its core design centers on generating plain text trace files that are both human-readable and machine-parseable. This approach captures granular details such as every function call, its arguments and return values, the state of local variables at various points, and any outgoing HTTP requests. The resulting greppable logs provide a detailed, step-by-step record of program execution, enabling deep dives into agent behavior and debugging intricate issues.

Quick Start & Requirements

Getting started with Kolo is straightforward. Installation is performed via pip: pip install kolo. For Django applications, integrate Kolo by adding "kolo.middleware.KoloMiddleware" to the top of your MIDDLEWARE list in settings.py. After starting your Django server (python manage.py runserver), navigate to localhost:8000/_kolo/ to view traced requests. A playground is also available for previewing Kolo's functionality without local setup.

• Docs: docs.kolo.app

Highlighted Details

• Trace data is generated as plain text files, making them inherently searchable by humans and AI agents alike.
• Provides visualization capabilities to help understand code execution paths and data flow.
• Specifically designed to trace Django requests for inspection and debugging purposes.

Maintenance & Community

Kolo offers multiple avenues for support and feedback. Users can connect via Discord, submit issues through the project's issue tracker, send an email, or schedule a meeting for setup assistance.

Licensing & Compatibility

The license type and any compatibility notes for commercial use or closed-source linking are not explicitly detailed in the provided README snippet.

Limitations & Caveats

No specific limitations, unsupported platforms, alpha status, known bugs, or deprecation warnings are mentioned in the provided README snippet. The project appears focused on its core tracing and debugging capabilities.