Write your tool logic in JavaScript, deploy instantly, and let Urai handle the state, telephony, and intelligence.
We bridge the gap between conversation and execution of Voice AI. Create agents using a simple prompt editor. Use our CLI to build and test tools with UraiJS. Test calls directly within our studio without needing to dial in. View real-time debug traces for tool calls, monitor transcripts and connect seamlessly to your telephony system. You can review the performance of the agent by reviewing the transcripts and call recordings.
We handle the entire infrastructure for you.
Built for Speed
We are obsessed with minimizing latency to ensure that the tool executions are snappy; your agent interactions feel natural.
Enterprise-Grade Protection
Security is our priority. We ensure your configured secrets are never exposed to the LLM. All sensitive data is encrypted at rest and injected only during the specific tool call execution.
Feature Deep Dive
Write standard TypeScript to control your agent. Need to check a calendar availability or query a Postgres database? Just write the function. We sandbox it, execute it, and feed the result back to the agent in milliseconds.
class SupabaseReservations {
@tool
async create_reservation(data: ReservationRequest) {
const project = meta.vars.metadata.supabase_project;
const apiKey = meta.secrets.SUPABASE_API_KEY;
const client = new ReservationUtils(project, apiKey!);
return await client.createReservation(data);
}
}
Test your tools locally before deploying by using the Urai CLI. Use the same CLI to deploy the tools to production instantly.
End to End Observability
Access full execution traces. See exactly why the LLM triggered a tool, what the tool returned, and where the latency occurred. No more guessing if it was the model, your API or your prompt. Identify bottlenecks instantly, from LLM reasoning to API response times.