Observyze - Trace, debug, and price every prompt — in real-time
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Observyze is the observability layer for AI teams.
Most logging tools add 200ms+ overhead to every LLM request. Observyze’s proxy-first architecture adds under 100ms while capturing high-fidelity traces for prompts, tool calls, and agent workflows.
Features include:
→ Token-level cost attribution
→ Automated guardrails with Redis-backed circuit breakers
→ Prompt A/B testing
→ Regression detection
Two lines of code. No infra to manage.
🎉 40% launch discount automatically applied at checkout.
Replies
Hey PH! 👋 I’m Rahul, the maker of Observyze.
I built Observyze because debugging LLM failures was painful. Existing logging tools were adding 200ms+ latency per request, yet we still couldn’t clearly understand why an agent failed or what each workflow actually cost.
Observyze uses a proxy-first architecture that adds under 100ms of overhead while capturing high-fidelity traces across prompts, tool calls, and agent workflows.
It gives your team: → Token-level cost attribution (know exactly what you're spending) → Real-time Guardrails via Redis-backed circuit breakers → Unsafe output blocking before responses reaches your users → Prompt A/B testing & regression detection
Setup takes just two lines of code — no infrastructure to manage.
🎁 Product Hunt Special: The 40% launch discount is already live at checkout for everyone.
BUT, for the PH community specifically:
Use code OBSERVYZE700 to get your first month on the Galactic plan for just ₹700 ($8.50). This is limited to the first 50 supporters!
I'll be here all day to answer questions about our architecture, latency optimizations, or how we handle multi-model evaluations. Would love your feedback!