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Magentic
Magentic is a Python library designed to simplify the integration of Large Language Models (LLMs) into Python applications.
Our verdict
Who it's for
Seamlessly integrate Large Language Models into Python code with structured outputs.
Who should look elsewhere
Requires familiarity with Python decorators and type hinting
Pros
- +Simplifies LLM integration into Python with decorators
- +Ensures structured and type-safe LLM outputs
- +Supports various LLM providers, offering flexibility
- +Enhances observability for LLM interactions
- +Facilitates building complex agentic systems with function chaining
Cons
- −Requires familiarity with Python decorators and type hinting
- −Reliance on external LLM providers for core functionality
Key features
- ✓Structured Outputs using Pydantic models and built-in Python types
- ✓Streaming of structured outputs and function calls
- ✓LLM-Assisted Retries for complex output schemas
- ✓Observability using OpenTelemetry with Pydantic Logfire integration
- ✓Type Annotations for linters and IDEs
- ✓Configuration options for multiple LLM providers (OpenAI, Anthropic, Ollama)
- ✓Chat Prompting with system and few-shot messages
- ✓Parallel Function Calling
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Free | — | month | Structured Outputs using pydantic models and built-in python types; Streaming of structured outputs and function calls; LLM-Assisted Retries |