Llm-Kosten

AI Agents Were Burning 30% of My Budget on Restarts — Here’s the Fix That Actually Worked TL;DR A developer shared on Reddit’s r/SaaS community how runaway AI agent restarts were silently consuming nearly a third of their infrastructure budget. The root cause? No persistent state management — every crash or timeout meant the agent started fresh, re-running expensive LLM calls from scratch. Solutions exist across multiple tools including Supabase, Mastra, exoclaw, and 49agents, each tackling the problem differently. If you’re running AI agents in production and haven’t audited your restart costs, you’re almost certainly losing money right now. ...

LLM API Token Costs: At What Scale Do They Start Hurting Your SaaS? TL;DR LLM API costs can seem negligible at first, but they have a nasty habit of sneaking up on you as your user base grows. The SaaS community on Reddit has been wrestling with exactly when token costs become a real business problem — and the answer depends heavily on your use case, model choice, and pricing strategy. Self-hosting alternatives like RunPod and Lambda Labs exist, but they come with their own tradeoffs. If you’re building anything LLM-powered, you need to think about cost architecture before you scale, not after. ...