#python #deployment #faas #fastapi #functions #machine_learning #microservices #pydantic #python_functions #serverless #streamlit #type_hints

https://github.com/ml-tooling/opyrator

#python #fastapi #json #json_schema #pydantic #sql #sqlalchemy

https://github.com/tiangolo/sqlmodel

#python #api #asgi #json #mypy #openapi #pydantic #redoc #rest #starlette #types

https://github.com/starlite-api/starlite

#python #hints #json_schema #parsing #pydantic #python #python310 #python311 #python312 #python37 #python38 #python39 #validation

Pydantic is a tool that helps you check if your data is correct using Python type hints. It's fast, easy to use, and works well with your coding tools. You can define how your data should look in simple Python code and then use Pydantic to validate it. This makes sure your data is consistent and accurate, which is very beneficial for keeping your programs stable and reliable. You can install it easily using `pip install -U pydantic` or `conda install pydantic -c conda-forge`.

https://github.com/pydantic/pydantic

#python #agent_framework #llms #pydantic #python

PydanticAI is a tool that makes it easier to build applications using Generative AI. It was created by the same team that made Pydantic, which is used in many AI libraries. Here’s why it’s useful It works with different AI models like OpenAI, Gemini, and Groq, and you can easily add support for other models.
- **Type-safe** It validates the responses from AI models to ensure they are in the right format.
- **Dependency injection** It helps you debug and monitor your AI-powered application.

Using PydanticAI, you can build powerful agents with tools and dynamic system prompts, making it easier to manage complex AI tasks.

https://github.com/pydantic/pydantic-ai

#python #api #async #asyncio #fastapi #framework #json #json_schema #openapi #openapi3 #pydantic #python #python_types #python3 #redoc #rest #starlette #swagger #swagger_ui #uvicorn #web

FastAPI is a modern Python web framework for building fast, reliable APIs that is easy to learn and quick to code, making it ready for production use right away. It uses standard Python type hints, which means you get automatic data validation, fewer bugs, and great editor support with code completion and type checks. FastAPI also generates interactive documentation automatically, so you and your team can understand and test your API easily. The main benefit is that you can develop robust, high-performance APIs much faster and with less effort, while reducing errors and making your code easier to maintain[1][2][3].

https://github.com/fastapi/fastapi