Query traces, logs, and metrics in Pydantic Logfire
Logfire is a AACFlow integration in the Observability category. AACFlow is the AI workspace where teams build and deploy AI agents. AACFlow's Logfire integration provides 4 tools that AI agents can use inside AACFlow's visual workflow builder. Logfire connects with an API key. Get started at aacflow.io.
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Integrate Pydantic Logfire into workflows. Run SQL over your observability data, search spans and logs with structured filters, pull an entire trace by ID, and confirm which project a read token targets.
Registrieren Sie sich in Sekunden auf aacflow.io. Ihr Workspace ist sofort einsatzbereit.
Öffnen Sie Ihren Workspace, ziehen Sie einen Logfire-Block in den Workflow-Builder und fügen Sie Ihren Logfire-API-Schlüssel ein.
Wählen Sie das benötigte Tool, binden Sie einen KI-Agenten für Reasoning oder Datentransformation ein und starten Sie. Ihre Logfire-Automatisierung ist live.
Einsatzbereite Vorlagen mit Logfire. Klicken Sie auf eine, um sie sofort zu erstellen.
4 Logfire-Tools für AACFlow-Agenten verfügbar.
Search Logfire spans and logs using structured filters for message text, service, span name, severity, environment, and exceptions. Returns the most recent matches first without writing SQL.
Run a read-only SQL query against Logfire traces, logs, and metrics. Reads the records and metrics tables using PostgreSQL-compatible syntax.
Fetch every span and log belonging to a Logfire trace, ordered from earliest to latest, so a single request can be reconstructed end to end.
Resolve which Logfire organization and project a read token belongs to. Useful for confirming a credential targets the expected project before querying it.
AACFlow's Logfire integration adds 4 tools to the AI agents you build in AACFlow's visual workflow builder. Query traces, logs, and metrics in Pydantic Logfire.
