Effective prompt management is crucial for getting the most out of Large Language Models (LLMs). Portkey provides a comprehensive solution for creating, managing, versioning, and deploying prompts across your AI applications.
Portkey’s Prompt Engineering Studio offers a robust ecosystem of tools to streamline your prompt engineering workflow:
Whether you’re experimenting with different prompts or managing them at scale in production, Prompt Engineering Studio provides the tools you need to build production ready AI applications.
You can easily access Prompt Engineering Studio using https://prompt.new
Before you can create and manage prompts, you’ll need to set up your LLM integrations. After configuring your keys, the respective AI providers become available for running and managing prompts.
Portkey supports over 1600+ models across all the major providers including OpenAI, Anthropic, Google, and many others. This allows you to build and test prompts across multiple models and providers from a single interface.
The Prompt Playground is a complete Prompt Engineering IDE for crafting and testing prompts. It provides a rich set of features:
The playground provides immediate feedback, allowing you to rapidly iterate on your prompt designs before deploying them to production. Once you’re satisfied with a prompt, you can save it to the prompt library and use it in your code simply.
Prompt versioning allows you to maintain a history of your prompt changes and promote stable versions to production. Any update on the saved prompt will create a new version. You can switch back to an older version anytime.
Versioning ensures you can safely experiment while maintaining stable prompts in production.
The Prompt Library is your central repository for managing all prompts across your organization. Within the library, you can organize prompts in folders, set access controls, and collaborate with team members. The library makes it easy to maintain a consistent prompt strategy across your applications and teams.
Prompt Partials allow you to create reusable components that can be shared across multiple prompts. These are especially useful for standard instructions or context that appears in multiple prompts. Partials help reduce duplication and maintain consistency in your prompt library.
Prompt Observability provides insights into how your prompts are performing in production through usage logs, performance metrics, and version comparison. These insights help you continuously improve your prompts based on real-world usage.
The Prompt API allows you to integrate your saved prompts directly into your applications through Completions and Render endpoints. The API makes it simple to use your optimized prompts in production applications, with CRUD operations coming soon.
Explore these additional features to get the most out of Portkey’s Prompt Engineering Studio: