Logfire Coding Agents — Agent Skill by Pydantic

From the author

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.

— the description by Pydantic

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to integrating coding agents like Claude Code or Codex with Logfire services. It enables users to record agent activity via telemetry, route model inference requests through the Pydantic AI Gateway, or configure MCP for agent-based data querying. The skill emphasizes using a consistent CLI executable and preserving existing project configurations to ensure secure and reliable integration without redundant authentication or setup.

What it does

Records coding agent activity using Logfire telemetry.
Routes agent model requests through the Pydantic AI Gateway.
Configures MCP to allow agents to query Logfire data.
Manages agent-specific capture policies and proxy configurations.
Verifies connection status and handles agent configuration removal.
Maintains existing project and organization credentials for consistency.

When to use it

When you need to monitor or record the activity of a coding agent.
When you want to route agent inference requests through a paid Gateway.
When an agent needs to query Logfire data via MCP.
When setting up a new coding session that requires specific telemetry or routing policies.

Advantages

Centralizes agent activity monitoring and inference routing.
Ensures secure credential handling by leveraging existing CLI sessions.
Prevents redundant authentication by distinguishing between telemetry, Gateway, and MCP needs.
Provides a clear, repeatable workflow for agent configuration.

Usage examples

“Connect my Claude Code session to Logfire for telemetry.”: The agent will use the logfire-cli to enable telemetry recording for the current project, ensuring agent activity is captured in the specified organization.
“Route my coding agent's requests through the Pydantic AI Gateway.”: The agent will configure the necessary proxy settings to route inference requests through the organization's paid Gateway access.

Install

Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/pydantic/logfire-coding-agents/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip logfire-coding-agents.zip -d .agents/skills

Documentation by Pydantic

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. 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 or the application Gateway skill 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. 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.
To route coding-agent inference, read Gateway routing.
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.

Files

ATTRIBUTION.mdAdded by AutoGineer859 B
LICENSELicence file added by AutoGineer1.1 KiB
SKILL.md2.8 KiB
references/application-gateway.md1.6 KiB
references/connection.md3.8 KiB
references/gateway.md4.5 KiB
references/telemetry.md4.8 KiB

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

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