logfire-query

name

logfire-query

description

Query Logfire telemetry data — traces, logs, spans, and metrics. Use this skill when the user asks to "query logfire", "search traces", "find logs", "query data", "search spans", "look up errors in logfire", "get metrics from logfire", "analyze telemetry", or wants to add Logfire querying capabilities to their code. Also use when the user wants to explore OpenTelemetry data, investigate production issues by querying, or build dashboards/reports from Logfire data.

Query Logfire Data

When to Use This Skill

Invoke this skill when:

• User wants to query traces, logs, spans, or metrics from Logfire
• User wants to search for specific events, errors, or patterns in telemetry data
• User wants to analyze OpenTelemetry data stored in Logfire
• User wants to add programmatic query capabilities to their code
• User asks to "query logfire", "search traces", "find logs", "get metrics"
• User wants to build reports or dashboards from Logfire data

Two Approaches

Aspect	MCP query_run	REST API /v1/query
Best for	Interactive exploration in Claude	Adding query code to a project
Auth	OAuth via MCP session	Bearer read token
Setup	Already configured via plugin	Need a read token
Formats	JSON rows	JSON, CSV, Apache Arrow
Default window	Last 30 min	Last 24 hours
Max range	14 days	14 days
Row limit	Must be in SQL	Default 500, max 10,000

Quick Schema Reference

records table (spans and logs)

Key columns for querying:

Column	Type	Description
start_timestamp	timestamp (UTC)	When span/log was created
end_timestamp	timestamp (UTC)	When span/log completed
duration	double (seconds)	Time between start and end; NULL for logs
trace_id	string (32 hex)	Unique trace identifier
span_id	string (16 hex)	Unique span identifier
parent_span_id	string (16 hex)	Parent span; NULL for root spans
span_name	string	Low-cardinality label for similar records
message	string	Human-readable description with arguments filled in
level	integer	Severity (supports level = 'error' string comparison)
kind	string	span, log, span_event, or pending_span
service_name	string	Service identifier
is_exception	boolean	Whether an exception was recorded
exception_type	string	Exception class name
exception_message	string	Exception message
exception_stacktrace	string	Full traceback
attributes	JSON	Structured data; query with ->>'key'
tags	string[]	Grouping labels; query with array_has(tags, 'x')
http_response_status_code	integer	HTTP status code
http_method	string	HTTP method
http_route	string	HTTP route pattern
otel_status_code	string	Span status

metrics table

Column	Type	Description
recorded_timestamp	timestamp (UTC)	When metric was recorded
metric_name	string	Metric name
metric_type	string	Type (gauge, counter, histogram)
unit	string	Unit of measurement
scalar_value	double	Metric value
service_name	string	Service identifier
attributes	JSON	Metric dimensions

Full schema: references/schema.md

SQL Syntax

Logfire uses Apache DataFusion (Postgres-like). Key patterns:

-- Time filtering
WHERE start_timestamp > now() - interval '1 hour'

-- JSON attribute access
WHERE attributes->>'user_id' = '123'
SELECT attributes->>'http.url' as url FROM records

-- Nested JSON
attributes->'request'->>'method'

-- Array filtering
WHERE array_has(tags, 'production')

-- Level filtering (string comparison works)
WHERE level = 'error'

-- Case-insensitive matching
WHERE message ILIKE '%timeout%'

-- Time bucketing for aggregation
SELECT time_bucket(interval '5 minutes', start_timestamp) as bucket,
       count(*) FROM records GROUP BY bucket ORDER BY bucket

MCP Approach (Interactive)

Call the query_run MCP tool:

• query (required): SQL query string
• project (optional): target project (default: user's current project)
• min_timestamp / max_timestamp (optional): ISO timestamps for time window

Default window is last 30 min. Max range is 14 days. Always include LIMIT in SQL.

Common queries

-- Recent errors
SELECT start_timestamp, message, exception_type, exception_message
FROM records WHERE is_exception LIMIT 20

-- Slow spans
SELECT span_name, duration, start_timestamp
FROM records WHERE duration > 1.0 ORDER BY duration DESC LIMIT 20

-- Endpoint errors
SELECT start_timestamp, message, http_response_status_code
FROM records WHERE http_route = '/api/users' AND level = 'error' LIMIT 20

-- Full trace
SELECT span_name, message, duration, parent_span_id
FROM records WHERE trace_id = '<id>' ORDER BY start_timestamp

-- Error breakdown by service
SELECT service_name, count(*) as errors
FROM records WHERE is_exception GROUP BY service_name ORDER BY errors DESC

REST API Approach (Programmatic)

Endpoint: GET https://logfire-api.pydantic.dev/v1/query

Region variants:

• US: https://logfire-us.pydantic.dev/v1/query
• EU: https://logfire-eu.pydantic.dev/v1/query

Auth: Authorization: Bearer <read_token>

Parameters:

• sql (required): SQL query
• min_timestamp / max_timestamp (optional): ISO timestamps
• limit (optional): row limit (default 500, max 10,000)

Response formats (via Accept header):

• application/json — column-oriented JSON (default)
• application/json with row_oriented=true param — row-oriented JSON
• text/csv — CSV
• application/vnd.apache.arrow.stream — Apache Arrow

Python clients: LogfireQueryClient (sync), AsyncLogfireQueryClient (async), logfire.db_api (PEP 249 / pandas).

Detailed examples: references/client-usage.md

Query Best Practices

1. Always LIMIT — start with 20, increase as needed
2. Use min_timestamp/max_timestamp params for simple time windows instead of SQL WHERE
3. Filter efficiently — service_name, span_name, trace_id, is_exception are fast filters
4. Use ->>'key' for JSON attribute access (returns text); use -> for nested JSON objects
5. Avoid SELECT * — select only the columns you need
6. Max 14-day range — queries cannot span more than 14 days