Aman Agarwal

@_typeofnull

Noida

Aman Agarwal
@_typeofnull
Aug 28
Your stack already has a home for telemetry. OpenLIT datasource connectors let you bring it in: ClickHouse · Tempo · Loki · Prometheus · Jaeger Per-environment signal routing for traces, logs, and metrics. Docs: docs.openlit.io/latest/openlit… OpenPlait: npmjs.com/settings/openp…
2
Aman Agarwal
@_typeofnull
Aug 14
GPU utilization is a vanity metric for LLM inference. nvidia-smi and DCGM tell you the SM was busy. Not KV cache OOM, throttle, or zombie VRAM. What to SLO instead: openlit.io/blogs/gpu-util…
Aman Agarwal
@_typeofnull
Jul 9
1/6 Monitoring AI agents is painful. Infinite loops, high latency, and hard-to-track token costs make production deployments high-risk. openlit.io/blogs/talk-to-… Say hello to Otter: OpenLIT's AI telemetry copilot designed to debug and optimize your AI apps conversationally. 👇
Talk to Your Telemetry: Debugging LLMs with OpenLIT's Otter AI Copilot
From openlit.io
7
Aman Agarwal
@_typeofnull
May 13
@claudeai I saw this error suddenly while viewing code.claude.com/docs/en/agent-… . What happened ?
2
Aman Agarwal
@_typeofnull
Apr 7
I wrote about a hard truth in RAG: 👉 Retrieval doesn’t eliminate hallucinations. Even with good context, models can still give wrong answers. In this blog: * Where hallucinations come from * Why retrieval isn’t enough (Dont trust the model!) 🔗 openlit.io/blogs/how-to-d…