ObserAI

What it does

ObserAI tracks every OpenAI, Anthropic, and Gemini API call — showing you exactly what each feature costs, which prompts are slow, and when your AI is failing. Add 3 lines of Python to your existing code and instantly get: ✅ Real-time cost tracking by model and feature ✅ Latency monitoring — find slow prompts instantly ✅ Failure alerts — know when AI breaks before users do ✅ Beautiful dashboard with charts and breakdowns Free forever for 100K calls/month. No credit card required.

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  Hi HN! We’re the team behind Fiddler, and we recently built an Agent Cache feature. It works by capturing an LLM request/response pair and, once caching is enabled, serving subsequent matching calls locally so duplicate requests never hit the provider. It’s meant to reduce three pains that show up together in agent development: token cost, feedback-loop latency, and output non-determinism. We’d love to hear your thoughts.

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