How do you keep a noisy experiment from eating everyone’s capacity? Put it on its own virtual key and cap RPM and TPM; unrelated workflows keep moving. #VirtualAPIKeys #AIUsageAnalytics https://temprhq.io/gateway

Run one prompt before you standardize. Send it through two provider keys, review both outputs, then compare latency and cost in Tempr Gateway logs. That’s a grounded way to pick a default.
#LLMObservability #AIUsageAnalytics https://temprhq.io/gateway

What will a new dev workflow cost on this model?
Test model cost before full rollout. Run a small batch through Tempr Gateway, compare logged cost per request, then route full traffic. #AIUsageAnalytics #OpenAICompatibleAPI https://temprhq.io/gateway

Your on-call engineer spots one service’s usage jumping before lunch. Put that workload behind a virtual key with a daily quota, then use key/day analytics to catch the surge before it becomes a cost overrun. #AIUsageAnalytics #VirtualAPIKeys https://temprhq.io/gateway

Same token volume, different bill? Provider pricing or routing can shift the cost underneath it. Compare model cost per token daily with Gateway’s per-model token and cost logs. #AIUsageAnalytics #ModelRouting https://temprhq.io/gateway