ModelOps - Unified AI SDK with built-in observability
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Track LLM cost, latency, and token usage across OpenAI, Anthropic, Gemini and more. One SDK. Full observability. Ship smarter AI products.
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Hi Product Hunt! 👋
I'm Adi, the creator of ModelOps.
I built ModelOps after running into the same problem in every AI project: once you start using multiple models and providers, it's surprisingly difficult to understand what your application is actually spending, how many tokens it's using, and where your requests are going.
ModelOps started as a simple idea: make AI observability effortless.
Today it provides:
• A unified TypeScript SDK for OpenAI, Anthropic, and Gemini
• Automatic tracking of token usage, latency, and estimated cost
• A dashboard to visualize your AI usage without changing your existing architecture
This is only the first step. My vision is to help developers not only observe their AI applications but also optimize them with actionable recommendations based on real usage.
I'd love to hear your honest feedback:
- What would make you try a tool like this?
- What's missing?
- Which AI provider or feature would you like to see next?
Thank you for checking out ModelOps!
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