Pydantic AI
Pydantic
Type-safe Python agent framework from the Pydantic team with model-agnostic providers and durable execution integrations.
Curated by Tiberiu ArvaVerified
Strengths
- Typed tools, deps and structured outputs
- Temporal/DBOS/Prefect durable execution
- OpenTelemetry tracing via Logfire
Practitioner note
Good fit for Python teams that want typed, testable agent code and to swap model providers by string; pair with Temporal or DBOS for long-running work. v1 still gets security patches (v1.107.7 alongside v2.52.0), so pin a major version deliberately.
Governance posture
Reviewed 2026-09-30Self-hosted library; operator controls placement and model provider (Logfire cloud is optional and separate).
SourceOSS library run in the operator's own process; no hosted control plane required. (self-hosted)
SourceNo built-in audit log; OpenTelemetry instrumentation (optionally to Logfire) must be wired up by the operator.
SourceSelf-hosted library; SOC 2 applies to the operator's infrastructure, not the package.
Self-hosted library; ISO 27001 applies to the operator's ISMS, not the package.
Self-hosted library; ISO 42001 applies to the deploying organisation.
Developer component, not an AI system placed on the market; obligations rest with the deployer. (role: not-applicable)
MIT — permissive, OSI-approved. (low)
SourceEU AI Act obligations
Risk tier: Not applicable · as of 2026-08-23Source-backed information mapped from Pydantic AI's tracked risk tier — not legal advice. Obligations depend on how your organisation deploys the system; see the full obligation reference and timeline.
This record's EU AI Act risk tier is marked not applicable, so no tier-specific obligations attach. Deployers embedding it in an AI system in scope of the Act should assess that system's own tier.
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