Mirascope AI is an open-source library designed to facilitate the development of AI-driven applications by offering a unified interface that connects to multiple Large Language Model (LLM) providers. Launched in 2023, this library serves as a powerful and flexible resource for developers, streamlining the process of engaging with LLMs. By simplifying interactions with various LLM providers, Mirascope AI enhances productivity and supports a broad spectrum of AI application development needs. Mirascope AI boasts a range of features that enhance the development experience and improve the functionality of AI applications. These features are specifically designed to cater to the needs of developers working with LLMs, providing comprehensive tools and capabilities that ensure efficient and effective interactions with AI models. Below is an overview of the key features offered by Mirascope AI: Mirascope AI can be utilized in various scenarios, reflecting its versatility and capability in handling different AI-driven tasks. Here are a few specific examples of how Mirascope AI can be employed: To begin using Mirascope AI, developers can access the open-source library available on platforms such as GitHub. This allows users to download the library, explore its documentation, and begin integrating its features into their projects. Additionally, while the core functionality is available for free, some features or specific provider integrations may require a paid subscription or API keys. Interested developers can find further information on how to set up and utilize Mirascope AI through its official repository.Features
Feature
Description
Unified Interface
Supports a wide range of LLM providers, enabling seamless integration without switching APIs.
Pythonic Design
Includes rich autocomplete, inline documentation, and type hints for error catching.
Comprehensive Tooling
Offers tools for managing prompts, making LLM calls, streaming responses, and more.
Prompts
Facilitates the creation and management of well-structured inputs for LLMs.
Calls
Provides a straightforward method for making calls to LLMs efficiently.
Streams
Supports real-time applications with seamless streaming of responses.
Chaining
Enables developers to link multiple LLM calls for complex task execution.
Response Models
Allows for structured output models with automatic validation of LLM responses.
JSON Mode
Streamlines working with structured JSON data responses from LLMs.
Output Parsers
Tools for processing and transforming custom LLM output structures.
Tools & Agents
Supports building advanced AI agents and extending LLM capabilities with custom tools.
Use Cases
How to get started
Pricing information for Mirascope AI is not available.Mirascope AI Pricing Information