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PromptWorks

On the record

AI scoring
It scores test outputs on a 0–100 scale across dimensions such as accuracy, completeness, clarity, and stability.github.com · read 4 Oct 2026
API
The backend exposes endpoints including /api/v1/prompts, /api/v1/prompt-test, and /api/v1/llms.github.com · read 5 Oct 2026
Batch testing
It supports repeated evaluation runs across prompt versions, models, parameter sets, and test samples, with result comparison and progress tracking.github.com · read 5 Oct 2026
Data components
The documented default database is PostgreSQL, and Redis is used for caching or asynchronous tasks.github.com · read 5 Oct 2026
Deployment
The project documents Docker Compose deployment with a frontend, backend, PostgreSQL, and Redis.github.com · read 5 Oct 2026
Integrations
The setup documentation names OpenAI and Anthropic API keys for integrating those models.github.com · read 5 Oct 2026
Intended users
The maker describes use cases including team prompt asset management, prompt regression testing, model selection, parameter tuning, and internal business assistants.github.com · read 4 Oct 2026
License
The GitHub repository identifies its license as Apache-2.0.github.com · read 5 Oct 2026
Model monitoring
It centrally manages model providers, model configuration, and invocation records for model selection, cost review, and A/B experiments.github.com · read 4 Oct 2026
Optimization
It can generate prompt rewrites, parameter and model suggestions, and validation plans from scoring results.github.com · read 5 Oct 2026
Platform support
Published Docker images are described as supporting linux/amd64 and linux/arm64 architectures.github.com · read 4 Oct 2026
Prompt lifecycle
It supports prompt creation, version iteration, tags, authorship tracking, and audit records.github.com · read 4 Oct 2026
Prompt scoring
It scores test outputs on a 0–100 scale and shows dimensions such as accuracy, completeness, clarity, and stability.github.com · read 5 Oct 2026
Purpose
PromptWorks is a prompt management, batch evaluation, and AI-assisted optimization workspace for teams.github.com · read 5 Oct 2026
Security and trust
The README describes prompt change audit records and configurable CORS origins; it does not state a security certification or compliance standard.github.com · read 5 Oct 2026
Self-hosting
The maker documents running the application locally from source and provides Docker images for the backend and frontend.github.com · read 5 Oct 2026
Support
The project invites users to submit issues and suggestions through GitHub.github.com · read 5 Oct 2026
Use cases
The maker describes use cases including team prompt libraries, regression testing, model selection, parameter tuning, and quality review.github.com · read 5 Oct 2026

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