What PromptLayer does
PromptLayer is a prompt registry and evaluation platform with logs, datasets, playgrounds, agents, release labels, approvals, and SDK-based execution.
PromptLayer treats prompts as managed artifacts rather than strings buried in source. The registry, playground, datasets, evaluation grid, logs, agents, release labels, webhooks, and optional tool execution create a shared workflow for engineering and domain reviewers. It is especially useful when prompt changes need history and promotion controls.
Free currently includes five users, 2,500 monthly requests, one workspace, and limited evaluation execution. Pro is $49 monthly with higher dataset and workspace capabilities plus $0.003 transaction overages; Team is $500 monthly with larger included usage and lower listed overage. Enterprise adds custom limits, SSO, RBAC, approvals, retention, and hosting choices. Model charges are additional.
Versioning improves accountability but does not make a prompt safe or an evaluation representative. Templates may expose secrets through variables, logs can retain personal or proprietary content, and auto-executed tools can call public APIs or transform data. Keep privileged side effects in controlled application code, inject secrets securely, restrict release labels, and validate every evaluator against human decisions and subgroup cases.
How PromptLayer works
A team saves versioned chat or completion templates with variables, model settings, tools, and release labels. Applications call a named template through an SDK or log external model requests. PromptLayer resolves the selected version, invokes the configured provider where applicable, records inputs, outputs, latency, tokens, and scores, and runs dataset evaluations or agent graphs. People review examples and approve releases; tool calls and production side effects remain governed application behavior.
How to set up PromptLayer
Define the release contract
Choose prompt owners, inputs, output schema, prohibited data, evaluation gates, approvers, rollback, and which changes may be made without code.
Create projects and access
Separate environments, issue scoped API keys, assign the minimum workspace access, and confirm hosting, retention, and regulated-data terms.
Register one production prompt
Move a bounded template into the registry, type its variables and tools, pin model settings, and preserve a known-good release label.
Build a reviewed dataset
Add normal, edge, adversarial, multilingual, and failure examples with human-authored expectations and calibrated scoring rules.
Test promotion and rollback
Run comparisons, inspect individual failures and cost, require the configured approval, deploy gradually, monitor logs, and rehearse reverting the label.
PromptLayer FAQs
Is PromptLayer free?
Yes. The Free plan has request, user, workspace, playground, dataset, and evaluation limits.
Does PromptLayer include model usage?
No universal model allowance should be assumed. Provider calls and PromptLayer transaction overages can be separate costs.
Can non-developers edit prompts?
Yes, subject to workspace permissions and release controls. Production changes should still pass reviewed evaluations and approval.
Can PromptLayer execute tools?
It supports sandboxed execution bodies for suitable tools, but recommends keeping private, authenticated, long-running, or consequential actions in your application.
Is HIPAA support available?
PromptLayer states that a BAA and eligible handling are Enterprise features; confirm the exact services and contract before processing PHI.
Listing reviewed 2026-07-31. Product details and pricing can change; verify important terms on the provider's website.
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