PromptLayer

Platform for prompt management, evaluations, and LLM observability — version, test, and monitor AI prompts.

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promptlayer.com
Verified API available Works with Make · n8n Free tier ~1.7k monthly visits
Quick facts
What is it Platform for prompt management, evaluations, and LLM observability — version, test, and monitor AI prompts.
Pricing Freemium — from $49/mo
Free tier Yes
Platform Web Application
API Yes
Works with Make, n8n
Best for Managing and version controlling LLM prompts, Collaborating on prompt engineering with domain experts
Domain registered 2022

Data updated Aug. 1, 2026

What does PromptLayer do?

PromptLayer is a comprehensive platform designed specifically for AI engineering teams who need to manage, test, and monitor their interactions with large language models. It serves as a central hub where developers can store all their prompts, track different versions, and analyze how changes affect AI responses. The tool captures every API call made to LLMs, creating a searchable history that teams can use to understand what's working and what needs improvement.

What sets PromptLayer apart is its focus on collaboration and practical workflow tools. The visual editor allows non-technical team members—like product managers or subject matter experts—to participate in prompt refinement without needing to code. You can run A/B tests between different prompt versions or even different AI models, comparing results based on cost, latency, and quality. The evaluation features let you schedule automated tests against historical data to catch regressions before they impact users.

This tool is particularly valuable for teams building AI-powered applications at scale, such as customer support automation, educational platforms, or personalized content systems. Companies like Gorgias use PromptLayer to manage millions of AI interactions, enabling their prompt engineering teams to work autonomously while maintaining quality control. It's essentially version control and continuous integration for your AI prompts, saving engineering hours while improving reliability.

#ai evaluation#collaboration tool#developer tools#llm observability#prompt management#prompt versioning

Key features

What makes it stand out
01
Visually edit, A/B test, and deploy prompts without engineering redeploys
02
Collaborate with non-technical stakeholders on prompt iteration
03
Evaluate prompts against usage history and schedule regression tests
04
Monitor LLM usage logs to identify edge-cases and improve prompts
05
Compare model performance, usage, and latency metrics

Who is PromptLayer for?

Who benefits most from this tool
Managing and version controlling LLM prompts
Collaborating on prompt engineering with domain experts
Testing and evaluating AI model performance

Pricing

Free tier available — start without a credit card

Free

Free
  • 5 users
  • 10 prompts
  • 10MB max datasets
  • 2,500 requests
  • 1 workspaces
  • 10 playground runs
  • 250 eval cell executions
  • 750 agent node executions
  • 5 Users
  • 2.5k/month Requests
  • 1 Workspace
  • 250/month Eval Cell Executions
  • 10MB max per Dataset

Pro

$49.0/month

Everything in Free, plus:

  • 5 users
  • 150MB max datasets
  • 2,500 requests
  • $0.003/txn overage rate
  • 250 eval cell executions
  • Unlimited Playgrounds
  • Unlimited Workspaces
  • 150MB max per Dataset
  • Pay-as-you-go ($0.003 per txn)

Team

$500.0/month
  • 25 users
  • 1GB max datasets
  • 100,000 requests
  • $0.002/txn overage rate
  • 7,500 eval cell executions
  • 25 Users
  • 100k+/month Requests
  • 7.5k+/month Eval Cell Executions
  • 1GB max per Dataset
  • Pay-as-you-go ($0.002 per txn)

Enterprise

Custom
  • Unlimited users
  • Custom datasets
  • Custom requests
  • Custom overage rate
  • Custom eval cell executions
  • Custom limits on everything
  • Role Based Access Controls
  • Deployment Approvals
  • HIPAA with BAA
  • Flexible Hosting Options
  • Dedicated Support
  • Data Retention Control

Trust & presence

Domain Domain registered 2022

Gallery

Click any image to enlarge

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