By pydantic
Build production-grade AI agents using Pydantic AI, with support for tools, structured output, streaming, testing, and multi-agent patterns.
Logfire and Pydantic AI plugins for Claude Code, Codex, and Cursor. Instrument your code with Logfire, query and export the resulting telemetry, and build LLM agents with Pydantic AI.
| Plugin | Hosts | Description | Capabilities |
|---|---|---|---|
| logfire | Claude Code, Codex, Cursor | Add Logfire observability and query/debug telemetry | Claude commands /instrument, /debug, /query; Codex/Cursor skills and MCP tools |
| logfire-exporter | Codex | Export Codex activity traces to Logfire | Codex lifecycle hooks |
| ai | Claude Code | Build AI agents with Pydantic AI | Pydantic AI skill docs |
| pydantic-ai-harness | Claude Code | Extend Pydantic AI agents with harness capabilities (Code Mode) | Pydantic AI Harness skill docs |
Add this marketplace to Claude Code:
claude plugin marketplace add pydantic/skills
Then install a plugin:
claude plugin install logfire@pydantic-skills
claude plugin install ai@pydantic-skills
claude plugin install pydantic-ai-harness@pydantic-skills
Add the published Pydantic marketplace to Codex:
codex plugin marketplace add pydantic/skills
Then open Codex's plugin UI and enable the plugins you want from the Pydantic marketplace:
Configure Logfire Exporter with a Logfire write token in your environment or
${XDG_CONFIG_HOME:-~/.config}/logfire-exporter/config.env. Restart Codex after configuration, and run /hooks if
Codex asks you to review or trust the new hooks.
To use the EU Logfire MCP endpoint in Codex without editing plugin files, replace the MCP entry and re-authenticate:
codex mcp remove logfire
codex mcp add logfire --url https://logfire-eu.pydantic.dev/mcp
codex mcp login logfire
codex mcp get logfire
Start a new Codex conversation after switching so the MCP tools reload.
Install the Logfire plugin from the published pydantic/skills repository:
git clone https://github.com/pydantic/skills.git
mkdir -p ~/.cursor/plugins/local
cp -R skills/plugins/logfire ~/.cursor/plugins/local/logfire
Then restart Cursor or run Developer: Reload Window. The plugin configures:
mcp.jsonThe Logfire MCP server requires normal Logfire authentication, such as logfire auth or a suitable LOGFIRE_TOKEN.
The skills/ directory contains standalone SKILL.md files compatible with 30+ agents via the agentskills.io standard - including Codex, Cursor, Gemini CLI, and Claude Code.
| Skill | Description |
|---|---|
| logfire-instrumentation | Add Logfire observability to Python, JS/TS, and Rust apps |
| logfire-query | Query and analyze Logfire traces, logs, spans, metrics, and activity data |
| logfire-ui | Open Logfire project pages, live views, traces, and Explore filters |
| building-pydantic-ai-agents | Build LLM-powered agents with Pydantic AI — tools, capabilities, streaming, testing |
| pydantic-ai-harness | Extend Pydantic AI agents with harness capabilities like Code Mode (sandboxed run_code) |
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npx claudepluginhub pydantic/skills --plugin aiAdd Logfire observability to Python applications with auto-instrumentation for FastAPI, httpx, asyncpg, SQLAlchemy, and more
Captures Claude Code sessions and exports pydantic-ai compatible OTel traces to Pydantic Logfire, with local JSONL fallback.
Pydantic Logfire observability platform integration. Query traces, monitor application performance, analyze logs, and debug issues directly from Claude Code.
Editorial "Agent Architect" bundle for Claude Code from Antigravity Awesome Skills.
Sub-agent runner — runs agent definitions on Codex, Claude Code, Cursor CLI, or Gemini CLI from any host AI tool.
Unified capability management center for Skills, Agents, and Commands.
HelloAGENTS — The orchestration kernel that makes any AI CLI smarter. Adds intelligent routing, unified QA gates, safety guards, and notifications.
Multi-agent orchestration with AI SDK v5 - handoffs, routing, and coordination for any AI provider (OpenAI, Anthropic, Google)
Make AI coding agents follow a repeatable engineering workflow with memory, verification, skills, and multi-agent setup