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About Magentic

Magentic is a Python library designed to simplify the integration of Large Language Models (LLMs) into Python applications. It allows developers to define LLM prompts as Python functions using decorators like `@prompt` and `@chatprompt`, enabling the LLM to generate structured outputs based on type annotations (including Pydantic models). This tool is ideal for Python developers looking to build complex agentic systems by combining LLM queries and tool use with traditional Python code. It streamlines the process of interacting with LLMs, ensuring that outputs are well-defined and easily consumable within Python workflows. Magentic supports various LLM providers, including OpenAI, Anthropic, and Ollama, and offers features like streaming, LLM-assisted retries, and observability. Key benefits include improved code readability and maintainability when working with LLMs, automatic handling of structured output parsing, and the ability to chain LLM calls with function execution for more sophisticated AI agents. It reduces the boilerplate typically associated with LLM integrations, allowing developers to focus on application logic.