Production incident triage
Work directly with Pydantic AI engineers to isolate whether an issue sits in the framework, a provider integration, or your agent.
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. Your agreement can also define how we coordinate when a vulnerability affects a covered release line.
Discuss Pydantic AI supportCoverage, contacts, severity levels, and response times are agreed before production is under pressure.
Use the public documentation, issue tracker, and community channels for ordinary questions. Enterprise support covers production incidents, agent architecture reviews, framework or provider rollouts, and coordinated vulnerability response.
Work directly with Pydantic AI engineers to isolate whether an issue sits in the framework, a provider integration, or your agent.
Review tools, dependencies, structured output, retries, streaming, and state before an agent serves critical workloads.
Plan framework upgrades and provider rollouts with engineers who understand how those boundaries interact.
For confirmed issues affecting a covered release line, coordinate privately on impact, mitigations, patched releases, and disclosure.
Agree the support boundary
Define the framework and provider integrations, release lines, environments, operational and security contacts, and initial response targets covered by your agreement.
Prepare useful context
Map critical agent paths and decide how to capture a reproducible example, model inputs and outputs, traces, configuration, and recent changes.
Escalate directly
Bring production-impacting issues or suspected vulnerabilities to Pydantic AI engineers through the agreed private channel. We work with your team to isolate the failing boundary and determine the next action.
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.
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.
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.
Yes. Supported versions, severity levels, initial response targets, and other commitments are defined in your commercial agreement. Contact us to discuss your requirements.
Anyone can report a suspected vulnerability privately through Pydantic AI’s security reporting process. For confirmed issues affecting covered release lines, enterprise support adds named security contacts and coordinated work on impact assessment, mitigations, patched releases, and disclosure. Advisories and CVEs are published where appropriate; notification and response commitments are defined in your agreement.