microsoft/PromptWizard

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4007 stars · 353 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PromptWizard is a discrete prompt optimization framework from Microsoft that uses a self-evolving mechanism where an LLM generates, critiques, and refines its own prompts and in-context examples. It iteratively optimizes instructions and examples together, including synthetic examples and self-generated chain-of-thought reasoning steps.

Use cases

• optimize prompts for better LLM task performance
• automatically generate synthetic few-shot examples
• improve prompt accuracy with chain-of-thought reasoning
• tune system prompts without manual trial and error
• optimize prompts using my own training data
• evolve instructions and in-context examples together

When to choose

• you want automated, feedback-driven prompt optimization instead of manual iteration
• you need to jointly optimize prompts and few-shot examples
• you want a research-backed framework with MIT licensing

When to avoid

• you need a hosted no-code prompt tuning service
• your use case involves fine-tuning model weights rather than prompts
• you cannot spend LLM API tokens on iterative critique and refinement

Facets

library · maturity active

prompt-engineering llm-inference machine-learning large-language-models artificial-intelligence developer-tools python cross-platform prompt-optimization chain-of-thought synthetic-data-generation in-context-learning self-evolving-prompts natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="microsoft/PromptWizard")