The LLM Anti-Framework

Benchmark various LLM Structured Output frameworks: Instructor, Mirascope, Langchain, LlamaIndex, Fructose, Marvin, Outlines, etc on tasks like multi-label classification, named entity recognition, synthetic data generation, etc.

An intelligent documentation query system built with LlamaIndex and Mirascope, powered by OpenAI embeddings and GPT-4.

The Mirascope Command Line Interface

A copy-cat version of Samuel Colvin's aicli implemented with Mirascope and Typer

Mirascope's Website

Mirascope UI Registry

A demo chatbot using the Nolita agentic web framework with Mirascope

Chat with Mirascope Documentation

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Mirascope Demos

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Summarize google forms/ csv responses via gemini

Introdução aos estudos da biblioteca Mirascope

Standalone documentation viewer, forked from mirascope/website

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lightweight graph orchestration framework for multi-agent systems, built on mirascope

Trying to build an automated "technical book"-generator using Mirascope & Lilypad

Mirascope OXen Yaml protocol. Enables YAML commenting and annotations for evals for LLMs.

Benchmark tool for comparing LLM structured output frameworks (Instructor, LangChain, Marvin, PydanticAI, Mirascope, Guardrails)

graph based framework for building social agents. built on mirascope and integrates openpipe for fine-tuning

Docker first principles

`llmscope` is a Python library designed to simplify interactions with Large Language Models (LLMs) by providing a stateful, fluent interface for managing conversation history, tool usage, and response parsing. It leverages libraries like `mirascope` for LLM calls and `pydantic` for data validation and parsing.