prompt-optimizer and AutoPrompt
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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