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logfire-read — how to use logfire-read how to use logfire-read, logfire-read setup guide, logfire-read alternative, logfire-read vs ELK Stack, structured logging with logfire-read, containerized application logging, Docker Compose logging, JSONL output logging, logfire-read install, logfire-read tutorial

v1.0.0
GitHub

About this Skill

Perfect for Logging Analysis Agents needing structured logging of Python function calls with JSONL output. logfire-read is a skill that provides structured logging of Python function calls using JSONL output for containerized applications and Docker Compose

Features

Loads .env files from the repo root for configuration
Runs JSONL reader using python scripts/logfire-fetch.py
Supports targeted queries using the agent helper
Includes a bundled script for reading logs with specific filters
Utilizes Docker Compose for containerized applications
Generates output in JSONL format for easy parsing

# Core Topics

michaeltschreiber michaeltschreiber
[0]
[0]
Updated: 3/6/2026

Quality Score

Top 5%
51
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add michaeltschreiber/logger/logfire-read

Agent Capability Analysis

The logfire-read MCP Server by michaeltschreiber is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use logfire-read, logfire-read setup guide, logfire-read alternative.

Ideal Agent Persona

Perfect for Logging Analysis Agents needing structured logging of Python function calls with JSONL output.

Core Value

Empowers agents to read Logfire records with JSONL output using Python scripts and the repo's reader utilities, providing advanced logging capabilities for containerized applications and Docker Compose, and utilizing JSONL file formats.

Capabilities Granted for logfire-read MCP Server

Debugging failed processing tasks
Analyzing log data with targeted queries
Fetching log records with specific messages

! Prerequisites & Limits

  • Requires Python environment
  • Limited to JSONL output
  • Dependent on Docker Compose for containerized applications
Project
SKILL.md
1.3 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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SKILL.md
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Logfire Read Skill

Use this skill to read Logfire records with JSONL output using the repo’s reader utilities.

Quick Start

  1. Load .env from the repo root:
sh
1set -a 2. ./.env 3set +a
  1. Run the JSONL reader:
sh
1python scripts/logfire-fetch.py

Or use the bundled script:

sh
1./.codex/skills/logfire-read/scripts/read_logs.sh --message-like "Processing failed" --limit 10

Agent-Friendly CLI

Use the agent helper for targeted queries:

sh
1python scripts/logfire-read-agent.py --since 2026-01-11T00:00:00Z --message-like "Processing failed" --limit 10

Module API

Use query_logfire() for programmatic access:

python
1from logger import query_logfire 2 3rows = query_logfire(jsonl=True, level=21, message_like="Processing failed", limit=10) 4for row in rows: 5 print(row)

Environment Variables

Required:

  • LOGFIRE_READ_URL (e.g., https://logfire-us.pydantic.dev/v1/query)
  • LOGFIRE_READ_TOKEN

Optional filters:

  • LOGFIRE_READ_COLUMNS
  • LOGFIRE_READ_LIMIT
  • LOGFIRE_READ_SINCE
  • LOGFIRE_READ_LEVEL
  • LOGFIRE_READ_MESSAGE_LIKE
  • LOGFIRE_READ_TRACE_ID
  • LOGFIRE_READ_SPAN_ID
  • LOGFIRE_READ_JSONL=true

Output Format

  • JSONL output returns one JSON object per record.
  • level is converted to severity strings (trace, debug, info, warn, error, fatal).

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