Promptmetheus
Promptmetheus is a Prompt Engineering IDE that enables users to compose, test, optimize, and collaborate on prompts for LLM-powered applications, agents, and workflows. It supports 15 APIs and 150+ LLMs, offers structured prompt composition with reusable blocks, and includes tools for testing, evaluation, versioning, and team collaboration.
Key facts
What is Promptmetheus?
Forge better prompts for LLM-powered apps, agents, and workflows through systematic composition, testing, and optimization.
Who is Promptmetheus best for?
Prompt engineers, AI developers, and teams building LLM applications.
What are its main limitations?
- Requires own API keys for inference; no inference budget included in subscription
- Forge free plan limited to local data storage and OpenAI models only
- Web app requires a screen size of 12" or larger
- No API or SDK mentioned for programmatic integration
Limitations are based on product materials or editorial synthesis; confirm on the official site.
Key features
- ✓Structured prompt composition using sections (Context, Task, Instructions, Samples, Primer) for modularity
- ✓Prompt variables to keep recurring details flexible and consistent
- ✓Custom evaluators to automatically validate completions against constraints
- ✓Model catalog with 150+ cutting-edge LLMs from 15 providers (OpenAI, Anthropic, Google, etc.)
- ✓Test datasets for rapid iteration with dynamic inputs
- ✓Completion ratings with visual statistics broken down by model and variant
- ✓Cost calculation to estimate inference costs for different models and inputs
- ✓Full traceability with versioning and changelogs for prompt design changes
- ✓Real-time sync across devices and team members
- ✓Data export in .txt, .csv, .xlsx, or .json format
Use cases
- →Building and refining prompts for LLM-powered apps
- →Testing prompts across multiple LLMs to find optimal model and parameters
- →Developing and debugging AI agents with prompt chains
- →Collaborative prompt engineering in teams with shared workspaces
- →Evaluating prompt reliability and performance under various conditions
- →Automating prompt iteration with datasets and evaluators
Pricing
Free (Forge)
$0
- · 1 user
- · Local data storage
- · OpenAI models
- · Stats & Insights
- · Data import/export
- · Community support
Single
$29/mo
- · Prompt IDE
- · 1 user
- · Cloud sync between devices
- · 15 providers and 150+ models
- · Multiple projects
- · Automatic evaluators
- · Prompt history and full traceability
- · Stats & Insights
- · Data export
- · Dedicated support
Team
$99/mo
- · Prompt IDE
- · 3 users included
- · $19/month per additional user
- · User management
- · Shared workspace with real-time collaboration
- · Business support
Free plan available (Forge) with limited features; paid plans start at $29/month for Single or $99/month for Teams (3 users). Subscriptions do not include inference budget; users must provide their own API keys.
Pros
- +Wide model support (150+ models from 15 providers)
- +Structured prompt composition improves reusability and clarity
- +Built-in testing and evaluation tools (datasets, ratings, evaluators)
- +Cost estimation helps budget inference spend
- +Real-time collaboration with versioning for teams
- +Data export to multiple formats
Cons
- −Requires own API keys for inference; no inference budget included in subscription
- −Forge free plan limited to local data storage and OpenAI models only
- −Web app requires a screen size of 12" or larger
- −No API or SDK mentioned for programmatic integration
Positioning
- Core value: Forge better prompts for LLM-powered apps, agents, and workflows through systematic composition, testing, and optimization.
- Ideal for: Prompt engineers, AI developers, and teams building LLM applications.
- Product type: Web application (requires 12" or larger screen)
Frequently asked questions
What is Promptmetheus?
Promptmetheus is a Prompt Engineering IDE for composing, testing, optimizing, and collaborating on prompts for large language models. It supports 150+ models from 15 providers and offers tools for structured prompt design, evaluation, versioning, and team sharing.
How do I use my own LLM API keys?
You need to provide your own API keys for inference. Promptmetheus does not include a budget for inference; you configure your keys within the platform to test prompts with supported models.
What models are supported?
Promptmetheus supports over 150 LLMs from providers including OpenAI, Anthropic, Google DeepMind, Mistral, Cohere, Groq, DeepSeek, xAI, Perplexity, FetchAI, OpenRouter, AI21 Labs, Venice, Moonshot AI, Deep Infra, and more. Additionally, you can connect any model compatible with the OpenAI API or LiteLLM SDK.
Can I use Promptmetheus for team collaboration?
Yes, the Team plan includes a shared workspace with real-time collaboration, user management, and a shared prompt library. Team accounts offer private and shared workspaces for collaborative prompt engineering.
Is there a free version?
Yes, the Forge plan is free and includes 1 user, local data storage, OpenAI models, stats & insights, data import/export, and community support. It does not include cloud sync or access to all model providers.
Can I build AI agents with Promptmetheus?
Yes, Promptmetheus supports optimizing each prompt in a chain for agents and workflows. The IDE is designed for prompt chains used in AI agents, and you can use it together with tools like LangChain and LangFlow.
You may also like
Curated suggestions based on similar categories.
Synthia
SYNTHIA is a synthetic data generation framework for integrated validation of AI healthcare applications. It provides privacy-preserving synthetic data across various healthcare data types to accelerate personalized medicine and research. The project is a multidisciplinary collaboration of 39 partners developing validated tools and methods for synthetic data generation.
Basedash SCIM
Basedash is an AI-powered business intelligence platform that generates trusted charts, dashboards, and reports on a governed semantic layer, supporting cloud or self-hosted deployment and connectivity to 750+ data sources.
Muse Spark 1.1 by Meta AI
Muse Spark is a natively multimodal reasoning model from Meta Superintelligence Labs, the first in the Muse family. It features tool-use, visual chain of thought, and multi-agent orchestration, and is available at meta.ai and the Meta AI app.
SmartRolePath
SmartRolePath is an AI career intelligence platform that analyzes a user's skills against live hiring data from 50,000+ job postings to generate personalized career paths with real salary data, market demand scores, automation risk assessments, and month-by-month transition roadmaps.
agents-cli
agents-cli is a CLI tool and skill set for building and deploying agents on Google Cloud, designed to integrate with coding agents for rapid development.
OpenJobs AI
Metix AI (formerly OpenJobs AI) is an AI-native hiring platform that delivers interview-ready candidates within 24 hours. You define the role, and the platform handles sourcing, outreach, and screening, with a delivery team ensuring quality. You only pay for candidates who are qualified and ready to interview.