By koloai
Trace Python code execution for AI agents by capturing functions, return values, local variables, HTTP requests, and SQL queries into greppable trace files, enabling runtime debugging and data inspection via search.
npx claudepluginhub koloai/kolo --plugin kolo[!TIP] Kolo v3 is here Trace data as plain text files, searchable by humans and agents alike. See what's new.
Trace and visualize your Python code.
Screenshot of Kolo from the Todo Demo app
Getting started with Kolo only takes a couple of minutes. The fastest way to understand what Kolo does and how it can be helpful is by trying it out on a codebase you work on. But if you're in a hurry or can't try Kolo on your own codebase, you can preview some functionality in our playground.
Trace a Django request for inspection, visualization, and debugging purposes.
pip install kolo"kolo.middleware.KoloMiddleware" to the top of your MIDDLEWARE list in settings.pypython manage.py runserver and make a request to any page.localhost:8000/_kolo/ to view your traced request. It should look similar to the screenshot at the top of the page 🚀(For a more in-depth version of this tutorial see How to: Trace Django requests)
If you have any questions or trouble getting set up with Kolo, please get in touch with us. We're here to help and would love any feedback!
What Kolo looks like when used with a real world Django application (Simple Poll)
Add Logfire observability to Python applications with auto-instrumentation for FastAPI, httpx, asyncpg, SQLAlchemy, and more
Share bugs, ideas, or general feedback.
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