PromptLayer

PromptLayer

PromptLayer gives AI engineering teams a visual prompt CMS, evaluation harness, and observability stack in one platform. Engineers version prompts through a registry while product and content experts edit templates in a dashboard without waiting for redeploys. Production logs tie each request back to the exact prompt version, model, and cost.

Compared to storing prompts in code or generic logging tools, PromptLayer separates prompt releases from application releases. Teams run dataset-backed evals with human and LLM graders, A/B test versions, and inspect agent traces when a workflow fails. That workflow lets lawyers, educators, and support leaders own prompt quality instead of filing tickets with backend engineers.

The free tier covers 2,500 requests per month for five users, while Pro and Team plans raise dataset limits and add pay-as-you-go overages. Enterprise adds HIPAA with BAA, role-based access, deployment approvals, and flexible hosting for regulated customers.

Top Features:
  1. Visual prompt editor lets non-technical experts update and test templates without code changes

  2. Free plan includes 2,500 requests per month for up to 5 users and 1 workspace

  3. Pro plan at $49 per month adds unlimited playgrounds and 150 MB datasets with pay-as-you-go overages

  4. Team plan at $500 per month supports 25 users and 100,000+ monthly requests

  5. Regression evaluations run automatically whenever a prompt version changes

  6. Agent tracing links production failures to prompt versions, tool calls, and latency stats

Pros:
  1. Lets domain experts edit prompts without engineering deploys.

  2. Connects production logs to exact prompt versions and eval scores.

  3. Free tier includes meaningful monthly request limits for small teams.

  4. SOC 2 Type 2, HIPAA, and GDPR compliance for enterprise buyers.

Cons:
  1. Team plan jumps to $500 per month for higher volume.

  2. Free tier caps at 2,500 requests and one workspace.

  3. Focused on prompt ops, not general application hosting.

FAQs:

What is PromptLayer?

PromptLayer is an AI engineering platform that combines prompt management, LLM evaluations, observability, and agent tracing. Teams use it to version, test, deploy, and monitor prompts while domain experts edit behavior in a visual CMS.

Is PromptLayer free?

Yes. PromptLayer offers a free plan with 2,500 requests per month, 5 users, 1 workspace, and 250 eval cell executions. Paid Pro and Team plans raise limits and add pay-as-you-go transaction fees.

How much does PromptLayer cost?

PromptLayer Pro is $49 per month and Team is $500 per month with 25 users and 100,000+ requests. Enterprise pricing is custom with HIPAA, role-based access, and flexible hosting options.

Can non-engineers edit prompts in PromptLayer?

Yes. PromptLayer includes a no-code prompt editor so product, marketing, legal, and curriculum teams can iterate on prompts directly. Engineers decouple prompt deploys from application releases.

Does PromptLayer support LLM evaluations?

PromptLayer runs dataset-backed evaluations with human review, deterministic graders, and LLM-as-a-judge scoring. Teams can schedule regression tests whenever a prompt version changes or compare models side by side.

What integrations does PromptLayer support?

PromptLayer integrates with OpenAI, Anthropic, Google Gemini, LangChain, LlamaIndex, LiteLLM, Vercel AI SDK, OpenTelemetry, and major cloud model providers through SDKs and REST APIs.

Is PromptLayer secure for enterprise use?

PromptLayer maintains SOC 2 Type 2, HIPAA, and GDPR compliance with a public trust center. Enterprise plans add role-based access controls, deployment approvals, and flexible hosting.

Category:

Pricing:

Freemium

Tags:

Prompt Management
LLM Evaluations
Agent Tracing
Prompt Registry
Regression Testing
Observability
Prompt CMS
Content Creation

Tech used:

Next.js
Ant Design
Google Tag Manager
HubSpot
Ruby
GitHub
Webpack
Styled Components
Tailwind CSS

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