Prompt versioning, evals and tracing for LLM engineering teams
PromptLayer moves prompts out of application code into a versioned registry that non-engineers can edit and deploy without a release. It pairs that registry with a dataset-backed evaluation harness β automated graders plus human review β and production tracing that links each request back to the prompt version, model cost and latency that produced it. Prompts are pulled at runtime through an SDK or REST API, so a prompt change ships independently of the app.
Free covers 2,500 requests and 250 eval cell executions a month; Pro is $49/month and Team $500/month, with overage billed at $0.003 and $0.002 per transaction.
Use tool βThe right pick when the people who actually own your prompt wording are product or domain experts rather than engineers; if prompts live in git and only engineers touch them, Langfuse or Braintrust cover the same ground with less product surface.
Watch out: Pro includes 5 seats and Team 25, so a growing team hits the seat wall and the $500/month tier before it hits the request limit.
Side-by-side fact sheets against the competitors our research names β pricing, platforms, API and both verdicts on one page.
No reviews yet β be the first to review PromptLayer.
Reviews are tied to your EffectHub account β one review per tool, so the rating for PromptLayer reflects real users.
No questions yet β ask the first one about PromptLayer.
Questions about PromptLayer are tied to your EffectHub account, so answers can reach you and the section stays free of spam.