PromptWizard

Windows · Mac · Linux · Self-hosted · API

Freedom report

Three barsScore 6.6

Free tierA free tier is on its own pricing page
Open codeNo open-source code on record
Runs widely3 of 6 device platforms
DocumentedPlans, terms and facts published

PromptWizard is ranked #2 of 29 in AI prompt generators on Freedom251. It runs on API, Linux, macOS, Self-hosted, Windows. There is a free plan.

PromptWizard plans and pricing

All plans

MIT-licensed open-source software Free No paid plans listed; API access requires OpenAI or Azure OpenAI credentials github.com · 3 Oct 2026

Compared on AI prompt generators

Free plan: Yes
Model support: multiple
Optimization mode: automated
Prompt testing: Yes
API access: Yes

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The record

Product: PromptWizard is an open source framework for automated prompt and example optimization using a feedback-driven critique and synthesis process.
Prompt optimization: It iteratively generates, scores, critiques, and refines prompt instructions.
Example optimization: It optimizes in-context examples alongside prompt instructions and can synthesize diverse, task-relevant examples.
Reasoning: It can generate chain-of-thought reasoning for in-context examples, and this option can be disabled to reduce prompt length or token count.
Use cases: The repository describes use with no examples, synthetic examples, or training data, including custom datasets.
Model API integrations: The setup instructions support OpenAI API keys and Azure OpenAI endpoints for LLM access.
Installation: The project is installed from its GitHub repository as a Python package in development mode, with setup instructions for Windows, macOS, and Linux.
Dataset format: Custom datasets are expected as JSONL files with question and answer fields in each sample.
Supported datasets: The README lists GSM8k, SVAMP, AQUARAT, and Instruction Induction (BBII) as supported datasets.
Optimization time: The README says optimization took around 20–30 minutes on average in its experiments on the listed datasets, with time depending on the dataset.
Customization: Custom datasets require dataset-specific answer extraction and evaluation functions, along with configuration and data files.
Human review: The README says generated prompts are usually detailed and that user supervision can help tune them for the task.
License: The repository identifies the project as MIT licensed.
Security: The repository links a security policy, but the pages opened do not state specific security controls or compliance certifications.
Price from: Free

Where it ranks on Freedom251

Best AI Prompt Generators in 2026#2 of 29

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Sources

microsoft.github.io/PromptWizard/· checked 2 Oct 2026
github.com/microsoft/PromptWizard· checked 2 Oct 2026
github.com/microsoft/PromptWizard/blob/main/SECURI· checked 3 Oct 2026
github.com/microsoft/PromptWizard/blob/main/LICENS· checked 3 Oct 2026