Promptmetheus
UnknownPrompt engineering IDE for composing, testing, optimizing, and collaborating on prompts for LLM-powered applications, agents, and workflows.
工具信息
什么是 Promptmetheus?
Promptmetheus is a prompt engineering IDE for composing structured prompts, testing reliability across models and datasets, optimizing performance for prompt chains, and collaborating on shared prompt libraries for LLM-powered apps, agents, and workflows.
核心功能
Prompt Composition
Compose structured prompts from modular sections (e.g. Context, Task, Instructions, Samples, Primer) and rapidly iterate through different variations for better composability and fine-tuning.
Prompt Variables
Define variables at project or prompt level to keep recurring details flexible and consistent.
Prompt Evaluators
Set up custom evaluators and automatically validate each completion against specified constraints.
Model Catalog
Test prompts with 150+ cutting-edge LLMs across 15 APIs, fine-tune model parameters, or configure custom models.
Projects
Organize prompts, datasets, and completions into projects and track relevant statistics on the dashboard.
Test Datasets
Use datasets to test with dynamic context and simulate user data or retrieved content for rapid iteration.
Completion Ratings
Rate completion quality and visualize results broken down by model and used variants.
Cost Calculation
Estimate inference costs for completions based on different models, inputs, and configurations.
Full Traceability
Trace every change in the prompt-design workflow with detailed versioning and changelogs.
Stats and Insights
Surface hidden patterns and correlations to increase efficiency during the prompt design process.
Real-time Sync
Sync changes to the prompt library in real-time with other devices and team members.
Data Export
Export prompts and completions in .txt, .csv, .xlsx, or .json format.
使用场景
- #1
LLM-Powered Applications
Compose, test, and optimize prompts for building and improving LLM-powered applications.
- #2
Agents and Prompt Chains
Optimize each prompt in a sequence so end-to-end performance and reliability of prompt chains and agents are not compromised by compounding errors.
- #3
Workflows and Automations
Develop prompts for LLM-augmented services, workflows, and automations with structured composition and evaluation tools.
- #4
Team Prompt Engineering
Collaborate in real-time on shared workspaces and build a shared prompt library for teams.
定价方案
Homepage lists a Pricing section with Playground, Single, and Team plans. No free, freemium, or paid details, prices, or trial information are provided in the source snapshot.

