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PromptLayer

Trace AI requests, workflows, and costs in one timeline

  • Free plan available
  • No credit card

What is PromptLayer?

PromptLayer is a monitoring and debugging platform for AI API requests. It captures and logs interactions with large language models, allowing developers to track prompts being sent, responses received, and costs incurred. It acts as a middleware layer between applications and AI providers like OpenAI, Anthropic, and others. The tool is designed for developers, teams, and organisations building applications that rely on LLM APIs. It's particularly useful for those needing to debug AI responses, optimise costs, understand usage patterns, or maintain audit trails for compliance. PromptLayer stands out for its focus on the complete AI request lifecycle. Rather than simply counting API calls, it provides visibility into actual prompts, model responses, latency, and costs all in a chronological timeline. This helps teams identify inefficient prompts, compare model cost-effectiveness, and troubleshoot issues when AI responses underperform.

Key features

Request logging

Captures all prompts sent to AI APIs and corresponding responses in detail

Cost tracking

Monitors spending across different models and providers to identify expensive calls

Timeline view

Displays chronological history of all AI interactions for easy review

Debugging tools

Inspect prompts and responses in detail to troubleshoot unexpected behaviour

Prompt versioning

Track changes to prompts over time and compare performance between versions

Custom metadata

Tag and organise requests with custom labels and filters

Multi-provider support

Integrates with OpenAI, Anthropic, Cohere, and other AI APIs

Pros & cons

Advantages

  • Clear visibility into API usage and associated costs
  • Helps identify inefficient prompts and reduce spending
  • Useful for debugging unexpected model behaviour
  • Simple integration into existing applications
  • Free tier available to get started
  • Supports compliance and audit trail requirements

Limitations

  • Requires adding a middleware layer to API calls
  • Limited to monitoring external APIs only; does not track local or open-source models
  • Free tier has restrictions on data retention and request history
  • Privacy consideration: sends request and response data to third-party service
  • May introduce slight latency to API calls

Use cases

Optimising LLM costs by analysing and refining expensive prompts

Debugging AI application behaviour and investigating poor model responses

Understanding usage patterns to predict and control API spending

Meeting compliance requirements with detailed audit trails of AI interactions

Collaborating with teams on prompt development and testing

Comparing model performance and cost-effectiveness across providers

Ready to try PromptLayer?

Pricing

Free

Free

Basic request logging, limited request history and data retention, single user access

Professional

Paid plans available

Higher request limits, extended data retention, advanced analytics, team access, priority support

Get started with PromptLayer

Click through to PromptLayer and start using it now.

  • Free plan available
  • No credit card