Pydantic Logfire Review: Is It The Right AI Agent Observability For Your Team?
Best for SMB teams · Mid-market · Enterprise
Free Plan Available
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Starts from $49 / month when monthly, also offers free forever plan
Overview
Pricing
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What is Pydantic Logfire?
Pydantic Logfire records agent runs as OpenTelemetry spans and keeps them beside the traces from the rest of the application, so an agent step and the database query it triggered sit in the same timeline. It reads instrumentation from 26 or more agent frameworks, and because the query language is plain SQL an MCP server lets a coding assistant read production directly instead of guessing. Evaluations and human review sit alongside the traces, so a change can be tested against stored cases and then rolled out without a deploy. The SDK is MIT licensed; the free plan carries 10 million records a month at a hard zero-dollar cap, and self-hosting is part of the enterprise agreement.
Pricing
Starts from $49 / month when monthly
Best For
Suited for small teams, SMBs, and enterprise
Pydantic Logfire was reviewed internally using user feedback, in-house testing, and market research to assess its performance, reliability, and user experience. Learn how we review products and our evaluation process.
Who should consider Pydantic Logfire
- Team types
- Small Business, Medium Business
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What is the pricing of Pydantic Logfire?
Pydantic Logfire Pricing Plans
Personal
Free
10M telemetry records a month, hard-capped at $0
3 projects and 30 day retention
1 seat plus 2 read-only guests
Community support
Team
$49
/month
10M records included, then $2 per million
Unlimited agent, service and host monitoring
AI output evaluations and human review
5 seats included plus 10 read-only guests
Growth
$249
/month
Everything in Team
Unlimited seats, guests and projects
Up to 90 day retention
Priority support
Enterprise
Custom
Observability SLOs with burn-rate alerts
Cloud, dedicated or self-hosted
SSO, SCIM and custom roles
Custom retention and SLA-backed support
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What are the features of Pydantic Logfire?
Agent evaluation scores what an agent produced against a fixed set of test cases, so a prompt change, a model swap or a new action can be co…
An agent trace is the ordered record of one complete agent run: the request that started it, every model call, every retrieval, every action…
An app or software sends out alerts, which are actionable and content-rich push notifications. These alerts can be for various reasons, incl…
Human annotation gives reviewers a queue of real agent runs to label, so a person who knows the business can mark what good looks like and f…
Compatibility with OpenTelemetry, a vendor-neutral open standard for generating and shipping traces, metrics, and logs from applications. Be…
Performance Monitoring is a feature that allows users to closely monitor the performance of their software and applications. It is a critica…
Self-hosting means the software runs inside infrastructure you control rather than the vendor, usually from an open-source build, a containe…
Span-level tracing breaks a run into individually timed units, each one carrying its own input, output, duration, token count and cost, nest…
Pydantic Logfire Support Options
Frequently Asked Questions About Pydantic Logfire
Common questions buyers ask before choosing Pydantic Logfire.
Pydantic Logfire is a AI Agent Observability. Pydantic Logfire offers Agent Trace, Span-Level Tracing, OpenTelemetry Support, Agent Evaluation, Human Annotation and many more functionalities.
Pydantic Logfire offers Freemium, Subscription, Quotation Based pricing models
The starting price of Pydantic Logfire is $49/month when monthly
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About the reviewer
Rajat Gupta is the founder of Spotsaas, where he has built software research covering 25,000+ products across CRM, HR, AI, and finance. He applies hands-on product research and a background in commerce and the CFA program to evaluate software through a business and ROI lens. His goal: help teams make software decisions they won't regret.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].