PromptLayer (Productivity)
Screenshot of PromptLayer

PromptLayer

Discover what PromptLayer is and how it helps teams manage prompts, evaluate AI models, and log LLM requests.

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What is PromptLayer?

PromptLayer is a platform for managing and optimizing prompts used with large language models (LLMs). It helps teams organize prompts, evaluate model performance, and log LLM requests, streamlining work for data scientists, entrepreneurs, and other professionals.

Who created PromptLayer?

PromptLayer was developed by a team focused on building efficient solutions for working with AI models. The company emphasizes collaboration between its product and engineering departments and takes privacy and security seriously — it is SOC 2 Type 2 compliant.

What is PromptLayer used for?

PromptLayer covers the core workflow of building and maintaining LLM applications:

  • Prompt management — visually create, edit, organize, version, and deploy prompts from one central place, with side-by-side comparison of different versions.
  • Evaluation — test prompts against past usage data, run regression checks, use one-off batch runs, and score results with both human graders and AI graders.
  • Logging — save every LLM request and search your usage history using session metadata or tags.
  • Monitoring — track API usage, costs, and latency, and understand how users interact with your application.
  • Pipelines — run sequences of prompts with test inputs.
  • Collaboration — let product, marketing, and content teams edit prompts directly, without needing engineering involvement.

Who is PromptLayer for?

  • Data Scientists
  • Entrepreneurs
  • Professionals in any field working with LLMs

How to use PromptLayer?

  1. Version prompts: Create, edit, and deploy prompts visually. Compare versions by usage and latency to optimize them, and update prompts without engineering support.
  2. Evaluate: Test prompts against historical usage data, set up regression tests, and run batch evaluations using human and AI graders.
  3. Log requests: Save all LLM requests and search them later by session metadata or tags.
  4. Monitor usage: Track API usage, costs, and latency to find areas for improvement and see how your application is actually being used.
  5. Run pipelines: Execute sequences of prompts with test inputs for structured, repeatable workflows.

PromptLayer pricing

Pricing details are available on the PromptLayer website at https://www.promptlayer.com/.

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