# logfire-query

Queries and analyzes Logfire telemetry data directly from your AI agent. It handles traces, logs, error root causes, and metrics via SQL.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1900 installs · ★ 145
- Author: pydantic
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/pydantic/skills/tree/HEAD/skills/logfire-query/SKILL.md
- Updated: 2026-10-16
- HTML: https://affpapa.org/en/nevibecode/skills/logfire-query

## What it does

This skill guides agents through querying Logfire telemetry via Apache DataFusion SQL. Telemetry sits in two main tables: `records` for spans and logs, and `metrics` for scalar data. Queries can inspect HTTP route patterns, JSON fields in `attributes`, error severity levels, and execution duration.

The workflow splits into two distinct modes. Interactive investigation runs via the MCP `query_run` tool under OAuth session auth with a default 30-minute window. Code generation targets the REST API `/v1/query` endpoint, which requires a Bearer read token and outputs JSON, CSV, or Apache Arrow.

Logfire caps query ranges at 14 days. The skill is strictly for query analysis: requests to open browser views belong in `logfire-ui`. Every interactive SQL query sent to MCP must include an explicit `LIMIT` clause.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add pydantic/skills --skill logfire-query -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/logfire-query/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/logfire-query/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add pydantic/skills --skill logfire-query -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/logfire-query/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add pydantic/skills --skill logfire-query -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/logfire-query/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install pydantic/skills logfire-query
```

2. **Manually: put the files in place**
- File: `.github/skills/logfire-query/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add pydantic/skills --skill logfire-query -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/pydantic/skills --path skills/logfire-query
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/logfire-query/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add pydantic/skills --skill logfire-query -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/pydantic/skills/tree/HEAD/skills/logfire-query/SKILL.md

## When to use it
- search recent error traces and exception messages in Logfire
- identify spans exceeding specific latency thresholds
- aggregate error counts by service name using DataFusion SQL
- generate code to fetch telemetry via the Logfire REST API

## Example prompts
- Query Logfire for the latest 20 exceptions across all services.
- Find the slowest spans over 1 second from the last 30 minutes.
- Count records grouped by service_name where level is error.

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: f5253f73cded941c.

BEGIN THIRD-PARTY FILE f5253f73cded941c
```text
---
name: logfire-query
description: Query and analyze Logfire telemetry data — traces, logs, spans, metrics, summaries, and SQL results. Use this skill when the user asks to "query logfire", "search traces", "find logs", "query data", "search spans", "look up errors in logfire", "get metrics from logfire", "analyze telemetry", "summarize errors", "find root cause", or add Logfire querying capabilities to code. Do not use this skill for direct Logfire UI, browser, live-view, Explore-page, or link-opening requests; use logfire-ui instead. If "show" or "view" wording is ambiguous, ask whether the user wants a UI view or query analysis.
---

# Query Logfire Data

## When to Use This Skill

Invoke this skill when:
- User wants to query traces, logs, spans, or metrics from Logfire
- User wants to search for specific events, errors, or patterns in telemetry data
- User wants to analyze OpenTelemetry data stored in Logfire
- User wants to add programmatic query capabilities to their code
- User asks to "query logfire", "search traces", "find logs", "get metrics", "count", "summarize", "compare", or "find root cause"

## User-Facing Progress

Keep progress updates terse. Do not narrate route classification, local skill instructions, schema selection, or routine query setup. If an update is needed, use one short sentence focused on the action, such as "Querying recent Logfire errors."

## Critical Routing: One Workflow Per Request

Before using any query tool, classify the request.

- Query route: "analyze", "query", "count", "summarize", "compare", "find root cause", "find slowest", "look up errors", "get metrics", or "add query capabilities".
- UI route: "open", "show in browser", "show in Codex", "show in Logfire", "live view", "open Explore", "open the UI", "give me a link", or GUI/browser presentation. Use `logfire-ui`; do not call `query_run` just to make a URL.
- Ambiguous route: prompts like "show recent errors", "view logs", or "show spans" do not specify whether the user wants chat analysis or the Logfire UI. Ask the user to choose query analysis or UI view.
- Combined route: if the user explicitly asks for both analysis and a link, query only for the requested analysis or to identify the requested item, then provide the relevant Logfire link. Do not add UI/browser work unless the user asked for it.

Only query before opening Logfire UI when the user asks to open a specific unknown item that must be found first, such as "find the slowest trace and open it" or "open the latest error trace".

## Two Approaches

| Aspect | MCP `query_run` | REST API `/v1/query` |
|--------|-----------------|----------------------|
| **Best for** | Interactive analysis in Codex | Adding query code to a project |
| **Auth** | OAuth via MCP session | Bearer read token |
| **Setup** | Already configured via plugin | Need a read token |
| **Formats** | JSON rows | JSON, CSV, Apache Arrow |
| **Default window** | Last 30 min | Last 24 hours |
| **Max range** | 14 days | 14 days |
```
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