error-tracking

Capture FastAPI runtime errors with Sentry integration and structured logging.

2|Updated Nov 21, 2025
One-click install
npx skills add https://github.com/kobikis/claude-code-python-showcase --skill error-tracking-kobikis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: error-tracking
Source: https://github.com/kobikis/claude-code-python-showcase/tree/main/.claude/skills/error-tracking
Command: npx skills add https://github.com/kobikis/claude-code-python-showcase --skill error-tracking-kobikis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill standardizes and automates error tracking, logging, and exception handling for FastAPI apps using Sentry, structured logging, and middleware patterns, reducing unresolved errors and incident response time.

Core Features & Use Cases

  • Sentry integration: Initialize and configure Sentry with FastAPI, including environment separation and release tracking.
  • Unified error handling: Centralized exception classes and handlers for consistent responses.
  • Structured logging: Contextual logging with user/request data and breadcrumbs for traceability.
  • Use Case: A FastAPI service encounters a server error; this Skill ensures the error is captured, logged, and reported to Sentry with minimal developer effort.

Quick Start

Install the required packages, configure Sentry DSN in your environment, and wire up the error handling components as demonstrated in the Skill's examples. Then run your FastAPI app and generate a test error to verify Sentry and logging behavior.

Frequently Asked Questions about error-tracking

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate Sentry error tracking into a FastAPI application?

Sentry error tracking in FastAPI works by initializing Sentry with your DSN, adding middleware for context enrichment, and registering centralized exception handlers to capture runtime errors and send them to Sentry with structured logs.

What is the best way to handle FastAPI exceptions and send them to Sentry?

The best way to handle FastAPI exceptions for Sentry is using centralized exception classes and handlers that capture errors, attach contextual request data as breadcrumbs, and return consistent error responses while reporting to Sentry.

Does this Sentry FastAPI integration support async operations and database access?

Yes, this Sentry FastAPI integration targets backend services with HTTP endpoints, async operations, and database access, providing consistent error responses and enhanced observability across those asynchronous workflows.

How do I set up structured logging with user and request data in FastAPI?

Structured logging in FastAPI is set up by using middleware to enrich logs with user and request data, generating breadcrumbs for traceability, and routing these contextual logs alongside Sentry error reports.

Why should I use centralized error handling middleware in FastAPI?

Centralized error handling middleware in FastAPI standardizes exception management, reduces unresolved errors, and decreases incident response time by automating error capture, structured logging, and Sentry reporting across your service.

Do I need any external dependencies to configure Sentry with FastAPI?

You need to install the required Sentry SDK packages and configure the Sentry DSN in your application environment to enable error tracking, but the Skill itself has no hard-coded component dependencies.