Runner.
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Logfire Runner Workflows

Trace requests, search spans, and debug production issues from the workflow.

Runner uses Logfire through a native MCP server for OpenTelemetry trace search, span analysis, and SQL-based observability queries.

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What would you like to do?

What Runner actually does with Logfire

This page is tied to the real connector definition inside Runner. The highlights below describe the kinds of actions, safeguards, and workflow patterns the app page represents, not a generic integration directory blurb.

Search spans by operation name, error status, and time range.

Fetch full trace chains to understand distributed call flows.

Use SQL queries for aggregations like error rates and latency percentiles.

Backend surface

Native MCP server powers this connector inside Runner. Backed by the Logfire MCP server at `https://logfire-us.pydantic.dev/mcp`, with guidance for trace search, span analysis, and SQL aggregations.

Operational notes

  • Always scope queries to a time window — unbounded queries are slow and noisy.
  • Start broad with span search, then drill into specific traces.

Popular workflows with Logfire

Real workflow pages where Logfire is part of the connected stack. Each workflow shows the trigger, connectors, and outcome.

Technical workflow

Application Monitoring and Incident Response

Incident triage starts with context instead of a scramble across monitoring tools.

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Connect Logfire to your favorite apps

Apps that show up alongside Logfire in real Runner workflows. Each badge links to its own integration page.

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Triggers and actions

What Runner can do with Logfire. These are grounded in the real backend connector definitions, not generic marketing filler.

Search for error spans

“Find failed spans in the auth service from the last 2 hours.”

Production issues surface in the workflow without switching to the observability dashboard.

Trace a specific request

“Pull the full trace for this slow request and show me where the latency is.”

Runner maps the call chain so you can see where things broke down.

Query error rates with SQL

“Run a SQL query to show the error rate by endpoint over the last 24 hours.”

Custom observability queries run inside the workflow instead of requiring a dashboard switch.

Use Logfire inside a real workflow

Download Runner to connect Logfire to the rest of your workflow instead of treating it like another isolated tab.

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