Zion LLM Observatory

Observability, evals and cost control for LLM apps in production

LLM apps fail silently. Zion LLM Observatory traces every prompt, completion, tool call, and agent step - with continuous evals, hallucination detection, and per-request cost analytics so your AI features stay reliable and affordable.

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Key features

End-to-end tracing of prompts, completions, and agent tool calls
Continuous evals with custom quality and safety metrics
Hallucination and prompt-injection detection
Token cost analytics per feature, model, and customer
Regression alerts when model providers ship updates

Who it is for

Teams shipping LLM features to production
Platform teams governing multiple AI products
FinOps teams controlling exploding token spend

FAQ

Which models are supported?

OpenAI, Anthropic, open-weight models, and any OpenRouter-compatible endpoint.

How do evals run?

Continuously on live traffic samples plus on-demand regression suites.

Does it work with agents?

Yes - full multi-step agent traces including tool calls.

Part of the Zion app network

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