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PromptLayer

Freemium
prompt engineeringllmopsobservabilitydeveloper toolsai developmentversion controlapi managementopenaigpt

PromptLayer is a development platform for prompt engineering, providing tools to track, manage, version, and share AI prompts while acting as a middleware layer for LLM applications to log API requests.

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PromptLayer is an observability and management platform designed for AI engineers and developers building on Large Language Models. It functions as a middleware that intercepts and logs every API request made to providers like OpenAI and Anthropic, offering a detailed history for debugging and analysis. The platform's core value lies in bringing traditional software development best practices to prompt engineering, enabling teams to version control prompts like code with a 'Prompt Registry'. Users can also track costs, monitor latency, A/B test prompt variations, and capture user feedback directly. This suite of tools helps teams collaborate effectively to build more reliable, performant, and cost-efficient AI features.

Pros

  • Provides a 'Prompt Registry' which acts like Git for prompts, enabling version control and team collaboration.
  • Comprehensive logging of all LLM requests, including inputs, outputs, and metadata for easy debugging.
  • Detailed cost and latency dashboards to monitor and optimize API usage across different models.
  • Supports a wide range of LLM providers including OpenAI, Anthropic, Google, and Azure.
  • Built-in functionality for A/B testing different prompts to find the best performing versions.
  • Simple integration that often requires only two lines of code to get started.

Cons

  • The free tier is limited to 1,000 requests per month, which can be exhausted quickly during active development.
  • Adds an external dependency and an additional network hop, which could be a point of latency or failure.
  • Primarily focused on developer workflows; may be less intuitive for non-technical product managers or designers.
  • Some advanced evaluation and analytics features are less mature than those in broader MLOps platforms.

Key features

  • API Request Logging and History
  • Prompt Version Control (Prompt Registry)
  • Cost, Latency, and Usage Dashboards
  • User Feedback Tracking
  • A/B Testing for Prompts
  • Prompt Evaluation and Scoring Tools
  • Support for Multiple LLM Providers
  • Grouping Requests by Template for Aggregate Analysis

Integrations

OpenAIAnthropicLangChainLlamaIndexGoogle Vertex AIAzure OpenAIMistral AIAnyscaleCohere

Target audience

AI developers, software engineers, and product teams building applications on top of Large Language Models (LLMs) like GPT and Claude.

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Founded

2022

Headquarters

San Francisco, USA

Pricing Tiers

Hobby

For individuals and small projects. Includes 1,000 requests/month, 1 seat, basic analytics, and prompt history.

Free

Growth

For growing teams and production applications. Includes 10,000 requests/month, user feedback tools, prompt templates, and advanced analytics. Billed per user.

$40/mo

Enterprise

For large organizations with specific needs. Includes unlimited requests, custom seats, role-based access control (RBAC), SSO, and dedicated support.

Custom

Frequently Asked Questions

Top Alternatives to PromptLayer

LangSmith

Choose LangSmith if your team is already heavily invested in the LangChain ecosystem for its native, seamless integration and debugging experience.

Weights & Biases

A good choice for teams already using W&B for traditional ML model training who want to keep all their ML and LLM operations within a single, familiar platform.

Helicone

Select Helicone if your primary need is a simple, lightweight observability and cost-monitoring solution for LLM APIs without the complexity of prompt versioning.

Arize AI

Opt for Arize AI when you need enterprise-grade ML observability that goes beyond prompts to include drift detection, performance tracing, and explainability for LLMs.

Ready to get started?

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