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Learn Mirascope

This section is designed to help you master Mirascope, a toolkit for building AI-powered applications with Large Language Models (LLMs).

Our documentation is tailored for developers who have at least some experience with Python and LLMs. Whether you're coming from other development tool libraries or have worked directly with provider SDKs and APIs, Mirascope offers a familiar but enhanced experience.

If you haven't already, we recommend checking out Getting Started and Why Use Mirascope.

Key Features and Benefits

  • Pythonic By Design

    Our design approach is to remain Pythonic so you can build your way

  • Editor Support & Type Hints

    Rich automplete, inline documentation, and type hints to catch errors before runtime

  • Provider-Agnostic & Provider-Specific

    Seamlessly engineer prompts agnostic or specific to various LLM providers

  • Comprehensive Tooling

    Complete suite of tools for every aspect of working with LLM provider APIs

Core Components

Mirascope is built around these core components, each designed to handle specific aspects of working with LLM provider APIs.

We encourage you to dive into each component's documentation to gain a deeper understanding of Mirascope's capabilities. Start with the topics that align most closely with your immediate needs, but don't hesitate to explore all areas – you might discover new ways to enhance your LLM applications!

Learn Flow Chart

  • Prompts

    Learn how to create and manage prompts effectively

    Docs

  • Calls

    Understand how to make calls to LLMs using Mirascope

    Docs

  • Streams

    Explore streaming responses for real-time applications

    Docs

  • Chaining

    Understand the art of chaining multiple LLM calls for complex tasks

    Docs

  • Response Models

    Define and use structured output models with automatic validation

    Docs

  • JSON Mode

    Work with structured JSON data responses from LLMs

    Docs

  • Output Parsers

    Process and transform custom LLM output structures effectively

    Docs

  • Tools

    Discover how to extend LLM capabilities with custom tools

    Docs

  • Agents

    Put everything together to build advanced AI agents using Mirascope

    Docs

  • Evals

    Apply core components to build evaluation strategies for your LLM applications

    Docs

  • Async

    Maximize efficiecy with asynchronous programming

    Docs

  • Retries

    Understand how to automatically retry failed API calls

    Docs

As you progress, you'll find advanced topics and best practices throughout the documentation. These will help you optimize your use of Mirascope and build increasingly sophisticated AI-powered applications.

Happy learning, and welcome to the world of development with Mirascope!