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Enterprise support for Pydantic AI

Pydantic AI is open source under the MIT license. When it becomes part of a critical agent system, a public issue tracker is not the escalation path you want during an incident, provider change, or major rollout.

Commercial support gives your team direct access to Pydantic AI engineers for production incidents, architecture, provider changes, and upgrades. Enterprise plans include 24/7 priority support, setup assistance, and an SLA matched to your operating model.

Discuss Pydantic AI support
Defined up front Know exactly how to escalate

Coverage, contacts, severity levels, and response times are agreed before production is under pressure.

Covered software
Pydantic AI, Pydantic Validation, and agreed provider integrations
Release lines
The versions your production systems depend on
Escalation path
Named contacts and the agreed channel for urgent issues
Initial response
Severity levels and initial response times defined in your agreement

Where Pydantic AI engineers can help

Use the public documentation, issue tracker, and community channels for ordinary questions. Enterprise support covers production incidents, agent architecture reviews, and framework or provider rollouts.

Production incident triage

Work directly with Pydantic AI engineers to isolate whether an issue sits in the framework, a provider integration, or your agent.

Agent architecture reviews

Review tools, dependencies, structured output, retries, streaming, and state before an agent serves critical workloads.

Provider and version changes

Plan framework upgrades and provider rollouts with engineers who understand how those boundaries interact.

Production readiness

Decide what to trace, who can escalate, and how to diagnose agent failures before they affect users.

How support works

  1. Agree the support boundary

    Define the framework and provider integrations, release lines, environments, contacts, and initial response targets covered by your agreement.

  2. Prepare useful context

    Map critical agent paths and decide how to capture a reproducible example, model inputs and outputs, traces, configuration, and recent changes.

  3. Escalate directly

    Bring production-impacting issues to Pydantic AI engineers, who work with your team to isolate the failing boundary and determine the next action.

Open source remains the foundation

Pydantic AI’s license, documentation, releases, issue tracker, and community support remain open to everyone. Enterprise support adds a direct escalation path and contractual commitments for teams that depend on the framework in production.

Questions teams ask

Is Logfire required?

No. Commercial support is available for the open-source Pydantic AI framework itself. Logfire traces can make an investigation faster, but Logfire is not required.

What can Pydantic AI engineers help investigate?

We work with your engineers to reproduce the issue, isolate Pydantic AI behavior, explain the relevant implementation details, and determine the next action. Your team and provider retain ownership of the surrounding application and model service.

Can we agree specific versions and initial response targets?

Yes. Supported versions, severity levels, initial response targets, and other commitments are defined in your commercial agreement. Contact us to discuss your requirements.

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