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Monitoring
Skill

/logfire-coding-agents

Connect Claude Code or Codex itself to Logfire telemetry, or route a coding agent's model requests through Pydantic AI Gateway. Use for coding-session recording, capture policies, Gateway agent configuration, temporary proxy launches, status, or removal. Not for instrumenting an

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pydantic-skills
14422 skills7 commands1 MCP
Install
$ npx -y skills add pydantic/skills --skill logfire-coding-agents --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/logfire-coding-agents

Context preview

The summary Claude sees to decide when to auto-load this skill.

Connect Claude Code or Codex itself to Logfire telemetry, or route a coding agent's model requests through Pydantic AI Gateway. Use for coding-session recording, capture policies, Gateway agent configuration, temporary proxy launches, status, or removal. Not for instrumenting an

SKILL.md

logfire-coding-agents.SKILL.md
name: logfire-coding-agents
description: Connect Claude Code or Codex itself to Logfire telemetry, or route a coding agent's model requests through Pydantic AI Gateway. Use for coding-session recording, capture policies, Gateway agent configuration, temporary proxy launches, status, or removal. Not for instrumenting an application or routing an application's model client.

Connect Coding Agents to Logfire

Use the exact Rust CLI executable supplied by the handoff for every operation; examples call it `logfire-cli`. Preserve its region, organization, project, and data directory. Do not replace it with a package launcher or install a second exporter by hand. These commands require `--beta`.

Without a prepared handoff, follow [native CLI connection](./references/connection.md). The same skill is distributed in the Logfire plugin; plugin installation alone does not supply a CLI session, project credential, or capture consent.

Distinguish three independent capabilities:

  • **Telemetry:** record the coding agent's activity in the selected project.
  • **Gateway:** route the agent's model requests through the organization's paid

Gateway access. This does not enable telemetry.

  • **MCP:** let the agent query Logfire. MCP OAuth is owned by the agent's MCP

client; CLI login or telemetry setup does not authenticate that client.

Honor the user's stated goal and agent. Ask only for missing choices; do not enable all three because the user asked to connect one. For application code, use [instrumentation](../logfire-instrumentation/SKILL.md) or the [application Gateway skill](../logfire-gateway/SKILL.md) instead.

Confirm the destination

A prepared handoff already selected the origin, organization, project, and local SDK credential: reuse those without repeating account commands or creating another write token. Otherwise follow the shared [connection reference](./references/connection.md). Do not guess another project when access fails.

Keep account credentials out of prompts, logs, and child environments. Leave credential storage and settings writes to the CLI. If a saved helper will invoke this executable later, use a persistent installed path, not a temporary build or cache directory.

Choose the requested workflow

  • To observe Claude Code or Codex, read [session telemetry](./references/telemetry.md).
  • To route coding-agent inference, read [Gateway routing](./references/gateway.md).
  • For both, configure telemetry first, then Gateway. Preserve each integration's

destination and settings independently.

Do not launch another setup agent or a nested interactive coding session just to configure this one. Explain any required restart. Finish with the configured agent, destination, capture or routing choice, observed verification result, and one next action. Configuration is not proof of ingestion or inference.

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Ships withpydantic-skills

Logfire, Pydantic AI, and Pydantic plugins for Claude Code, Codex, and Cursor. Instrument your code with Logfire, query and export the resulting telemetry, build LLM agents with Pydantic AI, and validate data with Pydantic.

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