PromptLayer
Free tierThe collaboration layer for AI engineering teams — prompt CMS, eval harness, and observability stack
Free tier available·All audiences·API available
Key strengths
Prompt version control and CMS for managing prompt templatesEvaluation harness for testing and comparing LLM outputsFull observability stack for tracking LLM requests and performanceEnables non-engineers (domain experts) to iterate on prompts without code changesPurpose-built for AI engineering team collaboration
Free tier + paid plans
San Francisco, USA
Founded 2022
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- Prompt versioning & registry — Store prompt templates with semantic versioning, fetch them at runtime via API, and roll back instantly if a version underperforms
- LLM request logging & tracing — Capture every request/response with metadata, tags, and latency metrics for debugging and auditing
- Automated evaluation pipelines — Define golden datasets and scoring rubrics; run regression evals on every prompt change in CI/CD
- Multi-model benchmarking — Test the same prompt across GPT-4, Claude, Mistral, etc. and compare cost vs. quality trade-offs
- Agent workflow observability — Trace multi-step agentic pipelines to identify failure points, high-latency nodes, and unexpected outputs
- Collaborative prompt management — Use role-based access so non-engineers can publish prompt updates directly to production with engineer-defined guardrails