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SkillMaxx / Monitoring / Logfire
Logfire
Add Logfire observability to Python applications with auto-instrumentation for FastAPI, httpx, asyncpg, SQLAlchemy, and more
- Stars
- ★ 143
- Last updated
- Hands-on tests
- Tested ✓ in 2 of 5
Install
Tested ✓✓ Verified from docsOfficial docs ↗
/plugin install logfire@claude-plugins-officialTested ✓ on 2026-10-16: installed and loaded in a throwaway sandbox with no credentials.
Log excerpt
Installing plugin "logfire@claude-plugins-official"...✔ Successfully installed plugin: logfire@claude-plugins-official (scope: user)
$ verify:
❯ logfire@claude-plugins-official
Status: ✔ enabled1 run, latest 2026-10-16
Not yet tested
No official Codex instructions yet. We haven't found docs saying this works in Codex.
Know it works? Tell us →Tested ✓✓ Verified from docsOfficial docs ↗
Auto-loaded from your Claude Code plugins (no extra setup per xAI docs)Tested ✓ on 2026-10-16: installed and loaded in a throwaway sandbox with no credentials.
Log excerpt
Installed 1 plugin(s) from claude-plugins-official: logfire $ verify: logfire-b533ac48: logfire [git: https://github.com/pydantic/skills.git] (claude-plugins-official)
1 run, latest 2026-10-16
Not yet tested
No official Cursor instructions yet. We haven't found docs saying this works in Cursor.
Know it works? Tell us →Not yet tested
No official Pi instructions yet. We haven't found docs saying this works in Pi.
Know it works? Tell us →README
View on GitHub ↗logfire
Add Logfire observability to Python applications.
Features
/logfire:connect- connect Claude's MCP client and optionally set up native session telemetry/logfire:status- check MCP access, native telemetry configuration, and delivery evidence separately/logfire:disconnect- stop native Claude telemetry while keeping MCP and skillslogfire-coding-agentsskill - configure Claude/Codex recording or coding-agent Gateway routinglogfire-frontendskill - set up browser errors, Web Vitals, and session replayslogfire-gatewayskill - route application model calls through Pydantic AI Gateway/instrument- detect frameworks and add Logfire instrumentationlogfire-setupskill - authenticate, inspect the repository, and route to the right setup workflowlogfire-infrastructureskill - monitor hosts, containers, Kubernetes, databases, and cloud infrastructurelogfire-evalsskill - add dataset-based evaluations for AI and agent behavior/debug- investigate errors using Logfire traces via MCP/query- query traces, logs, and metrics interactively or add query capabilities to codelogfire-uiskill - open Logfire project pages, live views, traces, and Explore filters directly in Codex- SKILL.md with core Logfire patterns (configure, instrument, structured logging, AI/LLM instrumentation)
- MCP server for querying Logfire data
Query vs UI Routing
The Codex Logfire plugin uses one primary workflow per request:
| User intent | Route |
|---|---|
| Analyze, query, count, summarize, compare, or find root cause | Use logfire-query and return analysis in chat. |
| Open, show in browser, live view, Explore, Logfire UI, or give a link | Use logfire-ui and open or return a Logfire URL without querying first. |
| Ambiguous prompts like "show recent errors" or "view logs" | Ask whether the user wants a UI view or query analysis. |
| Explicit combined prompts like "analyze this and give me a link" | Do the requested query work, then provide the relevant Logfire link. |
For UI requests that omit the organization/project, the agent should resolve the current project through Logfire MCP auth/current-project metadata before asking the user. Environment values such as LOGFIRE_BASE_URL, LOGFIRE_URL, and exporter config identify the platform/API base only; they are not enough to infer the target organization/project.
Preview from the source repo. Images are removed.
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