pydantic-ai
AI Agent Framework, the Pydantic way
Decision gist · record as of 2026-08-14
Yes. Pydantic AI is actively maintained, has no known vulnerabilities, installs with minimal friction, and is licensed permissively (MIT). It's appropriate for production use if you're building LLM-powered applications and want type safety, multi-provider support, and observability built in from the start. The framework's design philosophy aligns with FastAPI's ergonomics, making it a natural choice for teams already using Pydantic.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- An LLM provider API key (e.g., Anthropic, OpenAI) must be configured in your environment.
- Low install friction with a single lightweight runtime dependency (pydantic-ai-slim).
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted commercial and private use, modification, and distribution with minimal legal constraints.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 19,295 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 16,502,433 downloads/mo, #1,149 on PyPI
Alternatives
Verify before relying
pip install pydantic-ai
from pydantic_ai import Agent
agent = Agent('anthropic:claude-sonnet-4-6', instructions='Be concise.')
result = agent.run_sync('Your question here')
print(result.output)- Exact performance characteristics and latency profiles for different model providers and agent configurations.
- Detailed cost comparison or benchmarking against other agent frameworks in production scenarios.
- Specific limitations or edge cases when using custom models or less common provider integrations.
What it is and what it does
Pydantic AI is a framework for building AI agents in Python that prioritizes type safety, validation, and developer ergonomics. It abstracts away the complexity of working with multiple LLM providers—supporting OpenAI, Anthropic, Gemini, DeepSeek, and many others—while keeping your code clean and IDE-friendly through Pydantic's validation layer and Python type hints. The framework lets you define agents with tools, dynamic instructions, structured outputs, and composable capabilities (like web search or thinking) without sacrificing clarity.
The package is designed for production use, offering features like durable execution (preserving agent state across failures), human-in-the-loop tool approval, real-time voice agents, and tight integration with Pydantic Logfire for observability and performance monitoring. It ships with a single lightweight runtime dependency and requires Python 3.10 or later. The framework treats validation as a first-class concern—outputs are validated immediately, and type hints guide both your IDE and the LLM itself, moving entire categories of errors from runtime to write-time.
Use it for
- Build a customer support agent with tools for database lookups and structured responses, using dependency injection for type-safe data access.
- Create a multi-step workflow agent that searches the web, reasons through results, and streams structured findings in real time.
- Deploy a voice-based agent using native realtime models with the same tools and observability as text-based agents.
- Implement durable agents that resume from checkpoints after transient API failures or application restarts.
- Define complex agent logic as a graph using type hints, avoiding spaghetti-code control flow in intricate workflows.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Pydantic AI is actively maintained, has no known vulnerabilities, installs with minimal friction, and is licensed permissively (MIT). It's appropriate for production use if you're building LLM-powered applications and want type safety, multi-provider support, and observability built in from the start. The framework's design philosophy aligns with FastAPI's ergonomics, making it a natural choice for teams already using Pydantic.
Install
pydantic-ai on PyPI
Before you install
Low install friction with a single lightweight runtime dependency (pydantic-ai-slim). Active maintenance with recent releases and 19295 repository stars indicate strong community adoption and ongoing development.
Requires Python 3.10 or later. An LLM provider API key (e.g., Anthropic, OpenAI) must be configured in your environment.
License in practice
MIT license permits unrestricted commercial and private use, modification, and distribution with minimal legal constraints.
Quickstart
pip install pydantic-ai
from pydantic_ai import Agent
agent = Agent('anthropic:claude-sonnet-4-6', instructions='Be concise.')
result = agent.run_sync('Your question here')
print(result.output)Verify before relying
- Exact performance characteristics and latency profiles for different model providers and agent configurations.
- Detailed cost comparison or benchmarking against other agent frameworks in production scenarios.
- Specific limitations or edge cases when using custom models or less common provider integrations.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagepydantic-ai-slim |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 16,502,433 / month, #1,149 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: PydanticFramework :: Pydantic :: 2Intended Audience :: DevelopersIntended Audience :: Information TechnologyOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: InternetTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Libraries :: Python Modules |
Evidence: pydantic_ai-2.30.0-py3-none-any.whl
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See also instructor · pydantic-ai-harness · pydantic-ai-slim · pydantic-evals · pydantic-graph · pydantic-deep · marvin · pydantic-settings · pydantic-ai-shields