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Prompt Registry, Evaluations & AI Observability

Prompt Registry, Evaluations & AI Observability

See what your AI actually did, before your users find out first.

Aug 1, 2026 AI & Machine Learning
ai evaluation llm-observability llm-tracing prompt_management

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Prompt Registry, Evaluations & AI Observability

About

Enprompta is a prompt registry, evaluation, and observability platform for teams shipping LLMs to production. Every AI call gets fully traced, inputs, outputs, latency, tokens, cost, so instead of guessing why a model gave a wrong answer, you can actually go look. Automated evals catch bad or unsafe outputs before users ever see them, running in CI or right against live traffic. Prompt updates ship through a versioned registry your app reads at runtime, no code deploy needed for a wording fix. Works across OpenAI, Anthropic, Google AI, Mistral, Cohere, and Llama, and speaks standard OpenTelemetry, so there's no proprietary SDK lock-in. Free tier available, no card required to start.

Comments (4)

Marcus Hamill Marcus Hamill 3 weeks ago

whats the moat here vs langsmith and langfuse

Garrison Blanda Garrison Blanda 3 weeks ago

tracing every call just adds latency.

Anya Hauck Anya Hauck 3 weeks ago

full i/o trace storage needs clear retention and data isolation policies

Elza Wyman Elza Wyman 3 weeks ago

another dashboard nobody checks after week two