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PromptWorks

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What PromptWorks is

PromptWorks is a free, open-source workspace for teams managing prompts, running evaluations, and improving prompts with AI assistance. Teams can create prompt versions, organize them with tags, record authorship, and keep audit records. Batch testing runs across prompt versions, models, parameter sets, and test samples, with progress tracking and result comparisons. Outputs receive scores from 0 to 100 across dimensions such as accuracy, completeness, clarity, and stability. PromptWorks uses evaluation results to suggest rewrites, model and parameter advice, and validation plans; rewritten drafts can be saved as new versions. It also manages model providers and configurations centrally, with invocation records for model selection, cost review, and A/B experiments. Setup documentation names OpenAI and Anthropic API keys as configurable integrations. The backend exposes API endpoints for prompts, prompt tests, and language models. Teams can run it on the web or self-host it. Documented Docker Compose deployment includes frontend and backend images plus PostgreSQL and Redis services; published images support Linux AMD64 and ARM64.

Who it suits

PromptWorks suits teams maintaining shared prompt assets, testing changes, reviewing model choices, or tuning parameters. Its self-hosting and API options also fit teams integrating prompt workflows into their systems.

What it does well

  • Batch tests compare prompts across models and samples
  • Scores outputs across four named dimensions
  • Tracks versions, authorship, and audit records
  • Docker images support Linux AMD64 and ARM64

What to know first

  • Production setup recommends PostgreSQL and Redis
  • OpenAI and Anthropic integrations require API keys
  • No security certification or compliance standard is stated

Verdict

PromptWorks brings version management, batch evaluation, and model records into one workspace. Teams considering self-hosting should account for its documented PostgreSQL and Redis components.

Facts from PromptWorks's own pages

AI scoring
It scores test outputs on a 0–100 scale across dimensions such as accuracy, completeness, clarity, and stability. · github.com, 4 Oct 2026
API
The backend exposes endpoints including /api/v1/prompts, /api/v1/prompt-test, and /api/v1/llms. · github.com, 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, 5 Oct 2026
Data components
The documented default database is PostgreSQL, and Redis is used for caching or asynchronous tasks. · github.com, 5 Oct 2026
Deployment
The project documents Docker Compose deployment with a frontend, backend, PostgreSQL, and Redis. · github.com, 5 Oct 2026
Integrations
The setup documentation names OpenAI and Anthropic API keys for integrating those models. · github.com, 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, 4 Oct 2026
License
The GitHub repository identifies its license as Apache-2.0. · github.com, 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, 4 Oct 2026
Optimization
It can generate prompt rewrites, parameter and model suggestions, and validation plans from scoring results. · github.com, 5 Oct 2026
Platform support
Published Docker images are described as supporting linux/amd64 and linux/arm64 architectures. · github.com, 4 Oct 2026
Prompt lifecycle
It supports prompt creation, version iteration, tags, authorship tracking, and audit records. · github.com, 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, 5 Oct 2026
Purpose
PromptWorks is a prompt management, batch evaluation, and AI-assisted optimization workspace for teams. · github.com, 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, 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, 5 Oct 2026
Support
The project invites users to submit issues and suggestions through GitHub. · github.com, 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, 5 Oct 2026
Version comparison
Users can review version differences and save rewritten drafts as new prompt versions. · github.com, 4 Oct 2026
Version management
It supports prompt versions, tags, authorship information, audit records, and version comparisons. · github.com, 5 Oct 2026

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