What does this plugin do?

It lets an agent add Logfire observability to Python applications, so errors and performance can be seen across requests and database calls.

Which libraries are auto-instrumented?

FastAPI, httpx, asyncpg, and SQLAlchemy are listed, along with more.

Do I have to instrument my code by hand?

No. The plugin provides auto-instrumentation for supported libraries, so the agent can add monitoring without manual setup for those parts.

Does it work with non-Python applications?

The plugin is described for Python applications only; support for other languages is not stated.

logfire

PackCloud & infra

Logfire is a plugin that adds observability to Python applications. It gives an AI agent a way to instrument code with monitoring, so errors and performance can be seen across requests and database calls. It includes auto-instrumentation for common Python libraries, which means less manual setup when adding Logfire to a project.

Unavailable. Delivery for this kind is on the roadmap — not serving yet.

Have a Python application that uses one or more supported libraries such as FastAPI, httpx, asyncpg, or SQLAlchemy.

What your AI can do with it

Adds Logfire observability to Python applications
Auto-instruments FastAPI applications
Auto-instruments httpx HTTP calls
Auto-instruments asyncpg database calls
Auto-instruments SQLAlchemy usage
Lets an agent add monitoring so errors and performance are visible across requests and dat

Getting started

Have a Python application that uses one or more supported libraries such as FastAPI, httpx, asyncpg, or SQLAlchemy.
Add the Logfire plugin so the agent can work with it.
Ask the agent to add Logfire instrumentation to the application.
Run the application and review the errors and performance data it reports.

Signals

GitHub stars: 37k
Forks: 4k
Last commit: Sep 2026

Questions

What does this plugin do?: It lets an agent add Logfire observability to Python applications, so errors and performance can be seen across requests and database calls.
Which libraries are auto-instrumented?: FastAPI, httpx, asyncpg, and SQLAlchemy are listed, along with more.
Do I have to instrument my code by hand?: No. The plugin provides auto-instrumentation for supported libraries, so the agent can add monitoring without manual setup for those parts.
Does it work with non-Python applications?: The plugin is described for Python applications only; support for other languages is not stated.

Advanced

Item type: plugin
Key: anthropics-claude-plugins-official-logfire
Source: github.com/anthropics/claude-plugins-official

github.com/anthropics/claude-plugins-official