prompt-optimizer and AutoPrompt

prompt-optimizer
72
Verified
AutoPrompt
51
Established
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 19/25
Stars: 24,228
Forks: 2,893
Downloads:
Commits (30d): 81
Language: TypeScript
License:
Stars: 2,947
Forks: 261
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About prompt-optimizer

linshenkx/prompt-optimizer

一款提示词优化器,助力于编写高质量的提示词

Supports multi-model LLM backends (OpenAI, Gemini, DeepSeek, etc.) with dual optimization modes for system and user prompts, plus advanced testing via context variables, multi-turn sessions, and function calling. Available as web app, desktop client, Chrome extension, Docker container, and MCP server for Claude Desktop integration—with client-side data processing and optional password protection for secure deployment.

About AutoPrompt

Eladlev/AutoPrompt

A framework for prompt tuning using Intent-based Prompt Calibration

Implements Intent-based Prompt Calibration through iterative synthetic data generation and LLM-driven annotation to identify edge cases and refine prompts. Integrates with LangChain, Weights & Biases, and Argilla for human-in-the-loop feedback, supporting classification, generation, and moderation tasks with configurable budget limits (typically <$1 with GPT-4 Turbo).

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