Pydantic Logfire: Production-grade AI & general observability built on OpenTelemetry. Works with Python, JavaScript/TypeScript, Rust, Go, Java, and any OTel-compatible language. For LLMs, Agents, API & Apps. Distributed tracing, evals & cost tracking
Native AI Integrations
Seamlessly incorporates AI tools for enhanced observability.
Comprehensive Visibility
Provides insights into app behavior, including performance metrics and request details.
Structured Data & Direct SQL Access
Ensures Python objects are query-ready, allowing for easy data analysis.
Manual Tracing
Simplifies logging with a modern interface, reducing the pain of using traditional logging methods.
Pydantic Logfire is an observability platform designed to enhance the monitoring of applications, particularly those built with Python. It is built with ease of use in mind, featuring ready integrations for popular libraries and tools. By leveraging OpenTelemetry, the platform provides automatic instrumentation and supports data export to various backends, making it flexible and powerful for developers. With Pydantic Logfire, users can transform complex logs into actionable insights, understand application behavior in detail, and make data-driven decisions without the need for a dedicated analytics team.
Pydantic Logfire is available as an open-source SDK under the MIT license and wraps the OpenTelemetry Python package, enabling developers to send data to any OpenTelemetry Protocol compliant endpoint.
Building AI applications needing robust monitoring.
Developing cloud-based applications requiring performance insights.
Integrating observability into existing Python applications effortlessly.
While Logfire is Python-first, it also works well with other programming languages.
Logfire simplifies observability by providing an intuitive interface and automated instrumentation that reduces setup time and enhances user experience.
Yes, Logfire's Python SDK is open source under the MIT license.
