prompt-optimizer
An AI prompt optimizer for writing better prompts and getting better AI results.
GraphCanon updated 5d · GitHub synced 5d
Decision brief
prompt-optimizer enhances the quality of user-generated prompts meant for large language models (LLMs), written in TypeScript and falls under the categories of Developer Tools and Evaluation & Observability.
Good fit when
- When developing applications that rely heavily on accurate responses from LLMs, using prompt-optimizer can refine your prompts to generate more precise outputs.
- For developers who are looking for a tool specifically built in TypeScript, ensuring seamless integration within their existing TypeScript project environments.
Avoid when
- If you work with languages other than TypeScript or require a language-specific optimization not available in prompt-optimizer’s framework.
- In scenarios where the quality of AI responses is satisfactory and no significant improvement through prompt refinement is anticipated, investing time in using this tool may not be beneficial.
- Pricing:
- unknown - The license information indicates an 'Other' category, suggesting a non-standard licensing model that could be open-source or involve alternative arrangements. Without specific pricing details, the 'P
- Requirements:
- Being written in TypeScript requires users to have a compatible environment that can handle this language.
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (33,144) are secondary evidence.
- npm downloads (30d)
- 26·npm downloads API·5d
Maintenance and security
Full trust report- Maintenance
- Very active (2d since push)
- As of 5d
- Provenance
- Not a fork · Personal account
- As of 5d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install prompt-optimizer npmHow it fits your stack(8)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A tool focused on improving user-generated prompts to enhance the quality of responses from AI systems, particularly those involving large language models (LLMs).
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 16, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 16, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 16, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Aug 16, 2026
Categories
Tags
README
2. Web Deployment
Vercel Deployment
Method 1: One-click deployment to your own Vercel:
Method 2: Fork the project and import to Vercel (Recommended):
- First fork the project to your GitHub account
- Then import the project to Vercel
- This allows tracking of source project updates for easy syncing of new features and fixes
- Configure environment variables:
ACCESS_PASSWORD: Set access password to enable access restrictionVITE_OPENAI_API_KEYetc.: Optional private-deployment model settings. Do not preconfigure API keys on public frontend deployments becauseVITE_*values are exposed in browser assets.
For more detailed deployment steps and important notes, please check:
- Vercel Deployment Guide
- Cloudflare Deployment Guide
Cloudflare Deployment
Use the Deploy to Cloudflare button for the quickest public-repository setup. It creates a repository under your GitHub/GitLab account and deploys with Workers Builds. For private repositories or stricter repository-access control, import your own repository manually; keep the default deploy commands and clear the build command if Cloudflare auto-fills pnpm run build, because wrangler.jsonc builds the Web frontend and publishes packages/web/dist as static assets.
For access control and analytics on Cloudflare, configure Cloudflare Access and Cloudflare Web Analytics in the Cloudflare dashboard. No frontend dependency or application-code change is required.
4. Install Chrome Extension
- Install from Chrome Web Store (may not be the latest version due to approval delays): Chrome Web Store
- Click the icon to open the Prompt Optimizer
5. Docker Deployment
Click to view Docker deployment commands
```bash6. Docker Compose Deployment
Click to view Docker Compose deployment steps
```bashBecause the compose file is under docker/, pass the root .env explicitly.
For downloaded .dmg files (run before installation)
xattr -rd com.apple.quarantine ~/Downloads/PromptOptimizer-*.dmg
After running the command, you can open the application normally.
</details>
---
## 📄 License
This project is licensed under [AGPL-3.0](LICENSE).
**In simple terms**: You can freely use, modify, and commercialize this project, but if you turn it into a website or service for others, you must share your source code.
<details>
<summary>👉 Click for detailed explanation</summary>
**What you can do:**
- ✅ Personal use, learning, and research
- ✅ Internal company use (not offering public services)
- ✅ Modify code for commercial projects
- ✅ Charge for products or services
**What you must do:**
- 📖 If distributing software or offering network services, disclose source code
- 📝 Preserve original author's copyright notices
**Core principle**: Commercial use is allowed, but not closed-source.
</details>
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For agents
This page has a .md twin and JSON over the API.