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Pydantic AI is an open-source Python and TypeScript agent framework by Pydantic for building type-safe production AI agents with structured outputs, tool use, multi-agent orchestration, native Logfire observability, evals, and LLM cost tracking.
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Short answers to the questions buyers and builders commonly ask about Pydantic AI. Each answer cites the shared ledger below, where every source is listed once.
Type-safe agent framework with structured outputs, tool use, and multi-agent orchestration · AI observability, agent evaluations, and LLM cost tracking via Logfire and AI Gateway · Pydantic Evals is a code-first evaluation framework with built-in, LLM-as-judge, custom, a · Pydantic AI is an agent framework that teams use to build production AI agents
Agent framework for building production AI applications. Type-safe, structured outputs, tool use, and multi-agent orchestration with native Logfire integration.
Build type-safe AI agents shipped to production · Deployed across financial services, healthcare, e-commerce, and other industries for AI ag · Used to run large production agent fleets (54 agents, 697,000+ runs tracked in production) · Shipping AI features into production with auditable eval-gated releases (e.g., regulated i
Build type-safe agents with Pydantic AI
First-party SDKs for Python, JavaScript and TypeScript, and Rust; accepts OpenTelemetry fr · Integrates with DBOS, a durable-execution layer for long-running agents · Direct integrations with OpenAI, Anthropic, LangChain, and LlamaIndex, plus any OpenTeleme · Pydantic AI ships with built-in Pydantic Logfire instrumentation
Logfire accepts OpenTelemetry from any language or framework, including Java, Go, .NET, Ruby, and PHP.
Cloud, Dedicated, and Self-hosted enterprise options · Pydantic-managed Cloud (US or EU data residency), Pydantic-managed single-tenant dedicated · Self-hosted Kubernetes deployment via open-source Helm chart keeps telemetry inside the cu
Cloud, Dedicated, and Self-hosted enterprise options for Pydantic Logfire.
SOC 2 Type II audited; HIPAA BAA supported; GDPR (EU/UK) aligned
Independently audited controls for security, availability, and confidentiality.
24/7 priority support, setup assistance, and SLA matched to operating model included with
Enterprise plans include 24/7 priority support, setup assistance, and an SLA matched to your operating model.
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Pydantic | The end-to-end AI engineering stack
Built by Pydantic, founded 2018, headquartered in Wilmington, DE, US · Operated by Pydantic Services Inc. (PSI) as Data Controller · Open-source Python library under MIT license
Pydantic
2018
Wilmington, DE, US
Build type-safe AI agents shipped to production
Type-safe agent framework with structured outputs, tool use, and multi-agent orchestration
AI observability, agent evaluations, and LLM cost tracking via Logfire and AI Gateway
Python and TypeScript
MIT
Pydantic library is open source on GitHub
Cloud, Dedicated, and Self-hosted enterprise options
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
SOC 2 Type II audited; HIPAA BAA supported; GDPR (EU/UK) aligned
Pydantic
2018
Turn a Python open source project into a leading agent framework & observability platform
Pydantic AI is an open-source Python library
Pydantic AI
Pydantic-managed Cloud (US or EU data residency), Pydantic-managed single-tenant dedicated VPC, or self-hosted on a Kubernetes cluster via open-source Helm chart
Self-hosted Kubernetes deployment via open-source Helm chart keeps telemetry inside the customer's infrastructure
SOC 2 and penetration-test reports available through document request process
24/7 priority support, setup assistance, and SLA matched to operating model included with enterprise plans
First-party SDKs for Python, JavaScript and TypeScript, and Rust; accepts OpenTelemetry from any language including Java, Go, .NET, Ruby, and PHP
Pydantic Evals is a code-first evaluation framework with built-in, LLM-as-judge, custom, and span-based evaluators, with optional Logfire integration
Deployed across financial services, healthcare, e-commerce, and other industries for AI agent observability and evaluation
Member of the Open Source Pledge and actively involved in OpenTelemetry community and standards development
Pydantic AI is an agent framework that teams use to build production AI agents
Pydantic AI is provider-neutral and not tied to a single model provider's ecosystem
Pydantic AI is extensible alongside existing in-house agent code
Integrates with DBOS, a durable-execution layer for long-running agents
Built-in Pydantic Logfire instrumentation enables observability in a single step
Used to run large production agent fleets (54 agents, 697,000+ runs tracked in production)
Pydantic Logfire is an end-to-end AI observability, evals, and optimization platform built on OpenTelemetry
Direct integrations with OpenAI, Anthropic, LangChain, and LlamaIndex, plus any OpenTelemetry-emitting stack
Pydantic Logfire treats an agent's conversation as a first-class object rather than a linear sequence of tool calls
Operated by Pydantic Services Inc. (PSI), which acts as Data Controller for the Services including Pydantic AI
Pydantic AI is open-source
Pydantic AI exposes tools as plain Python functions with thin abstractions
Pydantic AI does not enforce a specific orchestration pattern