Traceloop
Open-source LLM observability built on OpenTelemetry
Prompt management, versioning, and observability workspace for non-technical teams
PromptLayer is a prompt management and observability platform with a visual workspace, version control, evaluation, and request logging that lets non-technical teammates edit and deploy prompts without code.
PromptLayer sits between your application and LLM providers, logging all requests and giving teams a visual workspace to manage the full prompt lifecycle. Its core value is decoupling prompts from code: prompts live in a versioned registry where product managers, subject-matter experts, and content creators can edit variations, run evaluations, and deploy new versions live without shipping application changes. This makes prompt iteration a collaborative activity rather than an engineering bottleneck. The platform combines prompt management with observability and evaluation, tracking requests, comparing prompt versions, and scoring outputs against expected responses. A free tier covers small projects with limited prompts and monthly requests, paid plans add scale and collaboration features, and enterprise offers self-hosting for teams with data-control requirements. PromptLayer is best suited to product-led teams that want non-engineers involved in prompt engineering while retaining production monitoring.
PromptLayer is a prompt management and observability platform with versioning, evaluation, and request logging, built so non-technical teammates can edit and deploy prompts without code.
PromptLayer builds tooling for the prompt engineering lifecycle, targeting teams that want to treat prompts as managed, versioned assets rather than hardcoded strings. It emphasizes collaboration between engineers and non-technical stakeholders.
The company positions itself in the prompt management and LLM observability space, competing with both dedicated eval platforms and broader LLMOps suites.
PromptLayer provides a visual prompt registry with version control, evaluation and A/B testing, and production request logging. It sits between the application and LLM providers to capture and analyze traffic.
Non-technical users can edit and deploy prompt versions live, while engineers integrate via API. Enterprise plans add self-hosting and administrative controls.
Product-led AI teams and companies where non-engineers participate in prompt engineering and that need production monitoring and version control.
Product managers, prompt engineers, and content specialists.
Heads of product and engineering managers.
AI engineers and MLOps practitioners.
Cross-functional AI product teams that need collaborative prompt management plus observability.
Venture-backed; funding details should be verified with the vendor.
It manages, versions, tests, and monitors LLM prompts through a visual workspace and logs requests for production observability.
Yes. PromptLayer is designed so product managers and subject-matter experts can edit prompts and deploy changes without writing code.
Yes. The free tier includes a limited number of prompts and monthly requests, with paid plans for more scale and collaboration.
Enterprise plans offer self-hosting for organizations with data-control or compliance requirements.
PromptLayer works with major LLM providers like OpenAI and Anthropic and integrates with frameworks such as LangChain.
Side-by-side pages for pricing, features, and best-fit use cases.
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