Pydantic Logfire

Pydantic Logfire is an observability platform built on OpenTelemetry that provides comprehensive monitoring for AI applications, traces, logs, and metrics. It offers first-class support for AI workloads while serving as a general-purpose observability tool, with custom SDKs for Python, JavaScript, and Rust, plus standard OTel support for other languages.

• OpenTelemetry Integration provides native support for traces, logs, and metrics using industry-standard protocols, enabling seamless integration with existing observability workflows and tools.

• AI Observability offers specialized monitoring for LLM calls, agent reasoning, and complete AI stack visibility, helping developers understand and debug AI application behavior from local development through production.

• Multi-Language SDK Support includes custom SDKs for Python, JavaScript, and Rust, with standard OpenTelemetry compatibility for other programming languages.

• Developer and Production Monitoring serves dual purposes as both a development debugging tool and production monitoring solution, providing consistent observability across the entire application lifecycle.

• Data Residency Options allows users to choose their data region (EU or US) at signup, addressing compliance and data sovereignty requirements.

• Query API Access enables programmatic access to trace data with configurable request limits based on plan tier, supporting automation and custom integrations.

• Team Collaboration Features supports multiple seats, guest (read-only) access, and project-based organization to scope access appropriately across teams.

To get started, sign up for a free Personal account at logfire.pydantic.dev. Install the Logfire SDK for your language, configure your application to send telemetry data, and begin viewing traces and logs in the Logfire dashboard. The platform includes 10 million free logs, spans, and metrics across all tiers, with 30-day data retention for querying historical traces.