magentic
Seamlessly integrate large language models into Python code.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 2.4k
- Source
- GitHub
- Added
- 2026-06-07
- Last verified
- 2026-06-07
Overview
Magentic is a Python library designed to seamlessly integrate large language models into Python code. By using the `@prompt` and `@chatprompt` decorators, developers can create functions that return structured outputs, combining traditional programming logic with LLM capabilities to build complex systems. It is ideal for developers who want to leverage LLM features in their projects without leaving the Python ecosystem.
Key features
- ▪Supports multiple LLM providers
- ▪Structured output with streaming support
- ▪Type hint compatibility with IDEs and linters
- ▪Built-in retry mechanism for improved accuracy
- ▪OpenTelemetry integration for enhanced observability
Use cases
Pros
- ＋Easy integration with existing Python code
- ＋Flexible configuration for multiple LLM services
- ＋Supports asynchronous calls for improved efficiency
- ＋Provides detailed error handling mechanisms
Limitations / notes
- －Requires API key configuration
- －Depends on network connectivity
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
How do I install magentic?
Install using `pip install magentic` or `uv add magentic`.
Which LLM providers are supported?
Supports multiple providers including OpenAI, Anthropic, and others.
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