PydanticAI
PydanticAI is an open-source, model-agnostic Python agent framework built by the Pydantic team, designed to bring the ergonomic, type-safe design philosophy of FastAPI to production-grade generative AI application development. It provides structured outputs, dependency injection, and first-class support for leading model providers including OpenAI, Anthropic, Google Gemini, xAI, AWS Bedrock, Cohere, Mistral, Groq, and many more. The framework integrates seamlessly with Pydantic Logfire for OpenTelemetry-based observability, and includes pydantic-graph for complex agentic workflows, pydantic-evals for systematic agent evaluation, and clai for a CLI chat interface. PydanticAI is maintained by Pydantic, a London-based developer tooling company backed by Sequoia Capital, and forms a core part of their end-to-end AI engineering stack.
PydanticAI publishes 2 APIs on the APIs.io network: Agent Framework and Pydantic Logfire. Tagged areas include AI, Agents, Python, LLM, and Type Safety.
The PydanticAI catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.
PydanticAI’s developer surface includes authentication, documentation, engineering blog, changelog, pricing, and 17 more developer resources.
Kin Score
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
PydanticAI Agent Framework
The core PydanticAI Python agent framework providing the Agent class, model provider integrations, tool registration, structured output validation, dependency injection, streami...
Pydantic Logfire
Pydantic Logfire is an OpenTelemetry-based observability platform with purpose-built features for LLM applications, including conversation panels, token tracking, cost monitorin...
Postman Collections 17
Ready-to-run Postman collections for exercising this provider's APIs.
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Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Pydantic Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Pydantic Ai Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Pydantic Ai Context
JSON-LDSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
PydanticAI API Rules
SPECTRALJSON Schema 7
Standalone JSON Schema definitions for this provider's data models.
AlertRead
JSON SCHEMAAPIKeyRead
JSON SCHEMAAuditLogInfoRead
JSON SCHEMADashboardDefinitionRead
JSON SCHEMAOrganizationMemberReadV1
JSON SCHEMAOrganizationReadV1
JSON SCHEMAProjectRead
JSON SCHEMAScroll for all 7
Security Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes governing access to this provider's APIs.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 3
Properties that don't map to a standard resource type