Reliability that stays awake
Retries, timeouts, rate limits, and provider failover are handled before they become your customer’s problem.
Gruvo is the managed execution layer for production AI. Deploy your workloads, keep your providers, and let us handle the complexity of running AI at scale.
Input and output tokens over time
Token consumption by owner
One layer to observe, control, and optimize AI across every model and provider.
Retries, timeouts, rate limits, and provider failover are handled before they become your customer’s problem.
Token spend · live
$12,482.19
Attribute usage by model, application, team, customer, and workload before the invoice becomes the alert.
Apply budgets, routing, and execution policies across the providers you already use through one managed layer.
Keep one application integration while models, providers, and execution paths change behind it.
Trace model, provider, latency, tokens, cost, retries, and errors for every production request.
Continuously balance quality, latency, cost, and availability for the way each workload actually runs.
Connect to the models you already use while Gruvo handles execution, reliability, observability, and usage.
Keep your existing SDK and models. Gruvo handles routing, reliability, and observability behind every request.
import OpenAI from 'openai'const gruvo = new OpenAI({baseURL: process.env.GRUVO_BASE_URL,apiKey: process.env.GRUVO_API_KEY})
Keep the models you trust. Gruvo handles the infrastructure around every request.
One integration. No infrastructure team required.