PromptLayer is a prompt management, observability, and evaluation platform that treats prompts as first-class engineering artifacts with versioning, deployment, monitoring, and team review workflows. The Prompt Registry, visual editor, variable templating, system/user message composition, structured outputs, tool calling, and replayable Playground make it possible to change prompts without redeploying application code.
PromptLayer now extends beyond a simple logging wrapper. Request observability captures inputs, outputs, latency, token usage, cost, and metadata, while Tables and evaluation workflows support datasets, score cards, batch and backtesting workflows, online or programmatic evals, and API access for datasets and reports. Tool Registry and Skill Collections add governance surfaces for teams building broader AI workflows.
Current pricing starts with Free at $0/month for 5 users, 2.5K requests/month, 1 workspace, 250 eval cell executions/month, and a 10MB dataset limit. Pro is $49/month with unlimited playgrounds/workspaces, a 150MB dataset limit, and $0.003-per-transaction pay-as-you-go usage; Team is $500/month with 25 users, 100K+ requests/month, 7.5K+ eval cell executions/month, a 1GB dataset limit, and $0.002-per-transaction usage.
Enterprise is custom and adds custom limits, role-based access controls, deployment approvals, HIPAA with BAA, flexible hosting options, dedicated support, and data-retention control. Teams needing fully self-hosted open-source observability, very high-volume agent traces, or evaluation governance as deep as specialist eval platforms should compare Langfuse, Humanloop, Braintrust, or LangSmith before standardizing.
