Platform for Prompt Engineers

An AI tool for prompt engineers: track, debug, and replay completions via OpenAI API requests. Platform for Prompt Engineers.
Platform for Prompt Engineers
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A platform for prompt engineers. Log prompts via OpenAI api requests, track, debug and replay old completions.

What is is a website that specializes in prompt engineering, a process aimed at creating and optimizing prompts for various language models like GPT-3, Anthropic, or HuggingFace. These prompts serve as inputs that guide the language models to produce desired outputs, such as text, code, or images.

The platform offers several features to aid users in building practical AI applications. Among its key functionalities are robust monitoring, prompt versioning, cost analysis, and methods for evaluating prompt effectiveness. Users can conveniently log, organize, and assess their prompts with just a single line of code. also includes a Prompt Registry, which allows users to create and retrieve prompt templates in a visual manner. Furthermore, the platform offers an Advanced Search feature that enables users to locate specific requests using metadata and tags on the dashboard. These features collectively provide a comprehensive and user-friendly environment for prompt engineering and application development.

How can I use for my project?

To utilize for your project, follow these steps:

  1. Sign Up: Begin by signing up for a free account on the website or logging in with your existing credentials.
  2. Create a New Project: Once logged in, create a new project and provide it with a name and description. You will have the option to choose the language model and the API key that best suits your project's needs.
  3. Add Data Sources: Integrate your data sources into the project. This can be done by either uploading your own data files or connecting to external data sources like Google Sheets, Airtable, or MongoDB.
  4. Create Prompts: Develop prompts for your project. You can either select from existing prompt templates available in the Prompt Registry or create custom prompts using the Prompt Editor. Additionally, you can utilize the Prompt Tester to interactively test and debug your prompts.
  5. Evaluate Prompts: Use the Prompt Evaluator to assess your prompts' performance. Compare different versions of prompts and analyze various metrics such as accuracy, diversity, coherence, and cost.
  6. Deploy Prompts: Once satisfied with your prompts, deploy them using the Prompt Deployer. You will be able to generate an endpoint URL for your prompt, which can then be integrated into your application. The dashboard allows you to monitor the prompt's usage and performance.
  7. Seek Support: If you encounter any challenges or require guidance throughout the process, offers documentation and tutorials as valuable resources.

By following these steps, you can effectively leverage for your project's prompt engineering needs.

What is the pricing model of

Based on the web search results, offers the following monthly pricing plans:

  • Free Plan: This plan is ideal for hackers and comes at no cost. It includes storage of logs for 7 days and allows up to 1,000 requests.
  • Individual Plan: Tailored for power users, the Individual plan is priced at $19 per month. It includes storage of logs for 7 days, allows up to 10,000 requests, and offers email support.
  • Startup Plan: Geared towards startups and small teams, the Startup plan is available at $59 per month. It provides extended log storage for 30 days, allows up to 100,000 requests, and includes both email and chat support.

Users have the flexibility to choose the plan that best aligns with their specific needs and budget. Additionally, they have the option to cancel or modify their selected plan at any time.

What are the benefits of offers several benefits for prompt engineering and language model applications:

  • Tracking and Management: The platform allows users to effectively track, manage, and share their prompt engineering projects for various language models, including GPT-3, Anthropic, or HuggingFace.
  • Middleware Functionality: Acting as a middleware between the user's code and the language model's API, records all requests and saves relevant metadata. This feature facilitates easy exploration and search within the promptlayer dashboard.
  • Seamless Integration: Users can seamlessly integrate with their existing language model applications with minimal codebase or architecture changes, making it convenient to implement.
  • Production-Oriented Design: The tool is specifically designed for production environments, ensuring that even in case of failure, it will not interfere with the functionality of the application.
  • Collaborative Environment: enables collaboration among users, allowing them to share prompts, templates, and evaluations with team members or the broader community.
  • Prompt Registry: The platform provides a Prompt Registry where users can browse and select from a collection of existing prompt templates or create their own custom prompts using the Prompt Editor.
  • Prompt Evaluator: The Prompt Evaluator feature allows users to compare different versions of their prompts and assess their performance based on metrics such as accuracy, diversity, coherence, and cost.
  • Prompt Deployer: Users can leverage the Prompt Deployer to generate an endpoint URL for their prompts, which can be readily utilized in their applications. The dashboard also allows monitoring of prompt usage and performance.

To get started with for your project, you have the option to sign up for a free account on their website or refer to their documentation for further information.

What are the limitations of is a prominent platform for prompt engineering, yet it does have certain limitations that users should be aware of. Here are some of the limitations:

  • Support for Public API Language Models: exclusively supports language models with public APIs, such as GPT-3, Anthropic, or HuggingFace. Custom language models or models without accessible APIs cannot be used with the platform.
  • Limited Tracking Scope: The tool only logs and tracks requests made through the PromptLayer library or REST API. Requests directly sent to the language model's API or those utilizing other libraries/frameworks cannot be monitored or evaluated within
  • Metadata Storage: retains only the metadata and response of each request, not the complete request object. Consequently, users cannot access or modify headers, parameters, or the body of the request after it has been sent.
  • Data and Prompt Security: While does not store or transmit API keys to their servers, the platform does not guarantee the security or privacy of users' data and prompts. Users are advised to exercise caution when utilizing data and prompts with the platform and review the terms of service and privacy policy.
  • No Performance Guarantees: functions as a tool for tracking, managing, and evaluating prompts but does not provide guarantees or warranties for the quality or performance of prompts. Users remain responsible for the prompt engineering process and the outcomes achieved with the language models.

It's important to be aware of these limitations when considering for prompt engineering tasks.

An AI tool for prompt engineers: track, debug, and replay completions via OpenAI API requests. Platform for Prompt Engineers.

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