How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Ragas is an evaluation framework designed to measure the performance of retrieval-augmented generation pipelines and autonomous agent workflows. It provides a comprehensive suite of tools for benchmarking system outputs, utilizing language models as automated judges to score performance against defined rubrics and reference data. By standardizing inputs, retrieved contexts, and generated responses into a unified schema, the project enables consistent analysis across complex AI applications. The framework distinguishes itself through its ability to generate synthetic test datasets from existin
Agenta is a Prompt Ops lifecycle manager and prompt management platform that decouples prompt engineering from application code. It serves as a centralized system for developing, versioning, and deploying prompt templates and model configurations across different environments. The platform functions as an AI agent orchestrator with a visual interface for building agent workflows and connecting models to external tools. It further acts as an evaluation framework and observability tool, utilizing OpenTelemetry to capture execution traces, monitor latency, and track token costs. The system cove
This project is an automated prompt engineering and optimization tool designed to iteratively create, test, and refine prompts using a language model to improve output quality. It functions as a framework for generating candidate prompts and ranking their performance through correctness matching and ELO-based ratings. The system includes capabilities for model distillation, generating high-quality example pairs from frontier models to create training data for smaller models. It also provides tools to condense prompts for smaller models and transform instruction-tuned prompts into completion-b
DSPy is a declarative programming framework designed for building complex language model applications. It treats model interactions as modular, composable programs, allowing developers to define task logic through typed class schemas rather than relying on manually written prompts. By organizing workflows into hierarchical, reusable Python objects, the framework enables the construction of sophisticated AI systems that manage state and execution flow independently. The framework distinguishes itself through an automated optimization engine that iteratively refines prompt instructions and few-
Automatic Prompt Engineer is a framework designed to automate the generation, refinement, and performance measurement of language model instructions. It functions as a systematic tool for optimizing prompt phrasing by iteratively testing candidate instructions against specific input and output datasets to maximize task accuracy.
The main features of keirp/automatic_prompt_engineer are: Automated Prompt Engineering, Automated Prompt Optimization, Prompt Optimization Frameworks, Prompt Optimization Tools, Prompt Evaluation Tools, Large Language Models, Automated Code Refinement Loops, Prompt Iteration Workflows.
Projects with overlapping indexed features include: vibrantlabsai/ragas — Ragas is an evaluation framework designed to measure the performance of retrieval-augmented generation pipelines and… agenta-ai/agenta — Agenta is a Prompt Ops lifecycle manager and prompt management platform that decouples prompt engineering from… mshumer/gpt-prompt-engineer — This project is an automated prompt engineering and optimization tool designed to iteratively create, test, and refine… stanfordnlp/dspy — DSPy is a declarative programming framework designed for building complex language model applications. It treats model… microsoft/promptwizard — PromptWizard is an automated prompt engineering framework designed to evolve natural language instructions for… comet-ml/comet-llm — Comet LLM is an observability platform and evaluation framework designed for large language model applications and…