PydanticAI website screenshot

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.

54.4/100 developing ▼ -5.9 Agent 38/100 agent ready Full breakdown ↓
scored 2026-07-28 · rubric v0.6
2 APIs
AIAgentsPythonLLMType SafetyStructured OutputsDependency InjectionOpenAIAnthropicGeminiObservabilityFramework

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6
Composite quality — 54.4/100 · developing
Contract Quality 15.7 / 25
Developer Ergonomics 4.3 / 20
Commercial Clarity 11.6 / 20
Operational Transparency 8.9 / 13
Governance 7.0 / 12
Discoverability 6.9 / 10
Agent readiness — 38/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 8 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/pydantic-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

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.

Scroll for all 17

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Pydantic Ai Rate Limits

6 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Pydantic Ai Context

43 classes · 0 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

PydanticAI API Rules

5 rules · 4 warnings 1 info

SPECTRAL

JSON Schema 7

Standalone JSON Schema definitions for this provider's data models.

AlertRead

16 properties

JSON SCHEMA

APIKeyRead

18 properties

JSON SCHEMA

AuditLogInfoRead

9 properties

JSON SCHEMA

DashboardDefinitionRead

3 properties

JSON SCHEMA

OrganizationMemberReadV1

8 properties

JSON SCHEMA

OrganizationReadV1

19 properties

JSON SCHEMA

ProjectRead

6 properties

JSON SCHEMA

Scroll for all 7

Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Pydantic Ai Authentication

oauth2 · 1 scheme

SECURITY

Pydantic Ai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Pydantic Ai Vulnerability Disclosure

disclosure policy published

SECURITY

Pydantic Ai Trust Center

SOC 2, HIPAA, GDPR

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Pydantic Ai Scopes

38 scopes · authorizationCode

38 scopes

SCOPES

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Pydantic Ai Agentic Access

83 operations · 42 acting · 3 human-in-the-loop

83 operations · 42 acting

AGENTIC

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

Source (apis.yml)

apis.yml Raw ↑
aid: pydantic-ai
name: PydanticAI
description: '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.

  '
type: Index
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- AI
- Agents
- Python
- LLM
- Type Safety
- Structured Outputs
- Dependency Injection
- OpenAI
- Anthropic
- Gemini
- Observability
- Framework
url: https://raw.githubusercontent.com/api-evangelist/pydantic-ai/refs/heads/main/apis.yml
created: '2026-06-12'
modified: '2026-06-12'
specificationVersion: '0.19'
apis:
- aid: pydantic-ai:pydantic-ai-agent-framework
  name: PydanticAI Agent Framework
  description: 'The core PydanticAI Python agent framework providing the Agent class, model provider integrations, tool registration,
    structured output validation, dependency injection, streaming, and durable execution capabilities for building production-grade
    GenAI applications.

    '
  humanURL: https://pydantic.dev/docs/ai/overview/
  baseURL: https://pydantic.dev
  tags:
  - AI Agents
  - Python
  - LLM
  - Type Safety
  properties:
  - type: Documentation
    url: https://pydantic.dev/docs/ai/overview/
  - type: APIReference
    url: https://pydantic.dev/docs/ai/api/pydantic-ai/agent/
  - type: GettingStarted
    url: https://pydantic.dev/docs/ai/overview/install/
  - type: ModelProviders
    url: https://pydantic.dev/docs/ai/api/pydantic-ai/providers/
  - type: OpenAPI
    url: https://raw.githubusercontent.com/api-evangelist/pydantic-ai/refs/heads/main/openapi/pydantic-ai-discovery-openapi.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/pydantic-ai/refs/heads/main/json-ld/pydantic-ai-context.jsonld
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/pydantic-ai/refs/heads/main/vocabulary/pydantic-ai-vocabulary.yml
- aid: pydantic-ai:pydantic-logfire
  name: Pydantic Logfire
  description: 'Pydantic Logfire is an OpenTelemetry-based observability platform with purpose-built features for LLM applications,
    including conversation panels, token tracking, cost monitoring, tool call inspection, and SQL-queryable production data.
    It also provides an AI Gateway for routing and FinOps management of model provider calls.

    '
  humanURL: https://pydantic.dev/docs/logfire/
  baseURL: https://logfire.pydantic.dev
  tags:
  - Observability
  - OpenTelemetry
  - LLM
  - AI Gateway
  - FinOps
  properties:
  - type: Documentation
    url: https://pydantic.dev/docs/logfire/
  - type: Pricing
    url: https://pydantic.dev/pricing
  - type: StatusPage
    url: https://logfirestatus.pydantic.dev/
  - type: OpenAPI
    url: https://raw.githubusercontent.com/api-evangelist/pydantic-ai/refs/heads/main/openapi/pydantic-ai-logfire-openapi.yml
  - type: OpenAPISource
    url: https://logfire-us.pydantic.dev/api/openapi.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/pydantic-ai/refs/heads/main/json-schema/logfire-project.json
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/pydantic-ai/refs/heads/main/json-ld/pydantic-ai-context.jsonld
common:
- type: AgentCard
  url: a2a/pydantic-ai-a2a.yml
  name: A2A Agent Card
  description: Agent Card served at /.well-known/agent-card.json (conformant against A2A 1.0.0).
- type: AgenticAccess
  url: agentic-access/pydantic-ai-agentic-access.yml
- type: TrustCenter
  url: security/pydantic-ai-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/pydantic-ai-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/pydantic-ai-domain-security.yml
- type: Authentication
  url: authentication/pydantic-ai-authentication.yml
- type: OAuthScopes
  url: scopes/pydantic-ai-scopes.yml
- type: Website
  url: https://pydantic.dev/
- type: Documentation
  url: https://pydantic.dev/docs/ai/overview/
- type: GitHubOrganization
  url: https://github.com/pydantic
- type: GitHubRepository
  url: https://github.com/pydantic/pydantic-ai
- type: Blog
  url: https://pydantic.dev/articles
- type: BlogIndex
  url: https://raw.githubusercontent.com/api-evangelist/pydantic-ai/refs/heads/main/blogs/blogs.json
- type: ChangeLog
  url: https://pydantic.dev/docs/ai/changelog/
- type: Pricing
  url: https://pydantic.dev/pricing
- type: StatusPage
  url: https://logfirestatus.pydantic.dev/
- type: LinkedIn
  url: https://www.linkedin.com/company/pydantic
- type: X
  url: https://x.com/pydantic
- type: PyPI
  url: https://pypi.org/project/pydantic-ai/
- type: Plans
  url: https://raw.githubusercontent.com/api-evangelist/pydantic-ai/refs/heads/main/plans/pydantic-ai-plans-pricing.yml
- type: RateLimits
  url: https://raw.githubusercontent.com/api-evangelist/pydantic-ai/refs/heads/main/rate-limits/pydantic-ai-rate-limits.yml
- type: FinOps
  url: https://raw.githubusercontent.com/api-evangelist/pydantic-ai/refs/heads/main/finops/pydantic-ai-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com