PromptLayer

What if your AI team could collaborate seamlessly, iterate rapidly, and ship reliable AI products with confidence?

Automated product research from public website content. No hands-on app test is recorded for this profile. Pricing source and check date are shown below where available.

Research fitSource-based assessment: PromptLayer provides a robust, collaborative platform for AI engineering teams to build, test, and deploy reliable LLM applications with strong emphasis on prompt versioning, evaluation, and observability.

PromptLayer is an AI engineering platform offering a prompt CMS, evaluation harness, and observability stack. It enables domain experts to collaborate on AI projects without touching the codebase, allowing visual editing, versioning, testing, and deployment of prompts.

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Key Features:

Prompt Management: Visually edit, version, test, and deploy prompts.
LLM Evaluations: Run dataset-backed tests, human review, and automated graders.
Agent Observability: Connect production traces to prompt versions, inspect failures, track cost, latency, and token usage.
Collaboration: Enable non-technical domain experts to edit prompts directly.
Version Control: Organize, diff, and roll back prompt versions, and A/B test prompts.

Pros

AI engineering teams needing robust prompt management and collaboration
Organizations requiring rigorous LLM evaluation and testing before deployment
Teams with non-technical domain experts who need to iterate on prompts directly

Cons

Enterprise features like RBAC and self-hosting are only available on the highest tier.
The free tier has significant limitations on requests and eval cell executions.
While supporting many models, some advanced features might be provider-specific.

Pricing

freemiumFree tier

Starting at:$49/month

Free tier:5 Users, 2.5k Requests/month, 1 Workspace, 250 Eval Cell Executions/month, 10MB max per Dataset

Plans

Free: 5 Users, 2.5k Requests/month, 1 Workspace, 250 Eval Cell Executions/month
Pro ($49/month): Unlimited Playgrounds, Unlimited Workspaces, 150MB max per Dataset, Pay-as-you-go ($0.003 per txn)
Team ($500/month): 25 Users, 100k+ Requests/month, 7.5k+ Eval Cell Executions/month, 1GB max per Dataset, Pay-as-you-go ($0.002 per txn)
Enterprise (Custom): Custom limits, RBAC, Deployment Approvals, HIPAA with BAA, Flexible Hosting, Dedicated Support, Data Retention Control

Categories:

AI Infrastructure Code & Development Business & Enterprise

Tags:

prompt management LLM observability LLM evaluation AI engineering collaboration version control agent monitoring prompt testing

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Quick Decision

Try if: You are an AI engineering team looking for a comprehensive platform to manage prompts, conduct rigorous evaluations, and gain deep observability into your LLM applications, especially if you need to empower non-technical collaborators.

Skip if: You are a solo developer or a very small team with basic prompt management needs, or if you require a completely free solution for extensive usage.

Not for: Individuals or very small teams with minimal AI development needs; Users looking for a free-only solution with extensive usage

Trust Signals

Users
1000+
Team Size
small

Compliance

SOC 2 Type 2HIPAAGDPR

Notable Customers

GorgiasSpeakNoRedInkMidpageMagid

Tech Details

Platforms

webapi

Integrations

Claude CodePydantic AIVercel AI SDKOpenAI Agents SDKLangChainLiteLLMLlamaIndexOpenRouterOpenTelemetryLiveKitOpenAIAnthropicGoogle GeminiAmazon BedrockAzure OpenAIMistralCoherexAIHugging Face

Open Source

Support

Channels

emaildiscordphone

Company

Name
PromptLayer
Location
New York City, NY, United States

PromptLayer is the first-ever prompt engineering platform, powering leading AI teams by providing tools for prompt management, evaluation, and observability.

FAQ

What is PromptLayer and what problems does it solve?

PromptLayer is an AI engineering platform that provides a prompt CMS, evaluation harness, and observability stack. It helps AI teams manage, test, and monitor their prompts and LLM applications, enabling collaboration between engineers and domain experts, and ensuring the reliability and performance of AI products.

Does PromptLayer support open-source models and custom providers?

Yes, PromptLayer provides out-of-the-box support for Mistral and allows users to connect their own self-hosted models or models from providers like HuggingFace and Azure OpenAI by configuring custom base URLs in workspace settings.

How does PromptLayer handle data privacy and security?

PromptLayer maintains a high bar for privacy and security, holding SOC 2 Type 2, HIPAA, and GDPR compliance. They offer a Trust Center for more information and provide BAA for enterprise customers requiring HIPAA compliance.

Use Cases

AI engineering teams needing robust prompt management and collaboration
Organizations requiring rigorous LLM evaluation and testing before deployment
Teams with non-technical domain experts who need to iterate on prompts directly