Five-stage workflow
01Capture audio and detect noise, endpoints, and language
02Stream transcription and maintain conversation context
03Resolve intent and call external tools safely
04Generate concise replies and stream synthesized speech
05Monitor end-to-end latency, interruption, and task success
Recommended components
Start with one component per capability and replace it only when evaluation data shows a clear gap.
From proof of concept to production
- 01Define the user journey, input and output schemas, permission boundaries, and success metrics.
- 02Build one end-to-end happy path with the smallest viable tool stack and a fixed evaluation set.
- 03Add authentication, timeouts, retries, fallbacks, audit logs, and human review for risky actions.
- 04Release to a limited audience, measure quality, latency, and cost, then expand with evidence.
Framework-neutral orchestration skeleton
TypeScript
type WorkflowInput = { request: string; userId: string };
type StageAdapter = (context: unknown) => Promise<unknown>;
const stages = [
"Capture audio and detect noise, endpoints, and language",
"Stream transcription and maintain conversation context",
"Resolve intent and call external tools safely",
"Generate concise replies and stream synthesized speech",
"Monitor end-to-end latency, interruption, and task success"
];
const selectedTools = [
"Hugging Face",
"LangChain.js"
];
export async function runWorkflow(input: WorkflowInput, adapters: Record<string, StageAdapter>) {
let context: unknown = { ...input, selectedTools };
for (const stage of stages) {
const adapter = adapters[stage];
if (!adapter) throw new Error(`Missing adapter: ${stage}`);
context = await adapter(context);
}
return context;
}Implement each adapter on the server with the selected component’s official SDK or API. Never expose provider credentials in browser code.
Production checklist
- ✓Every stage has a defined owner, input, output, timeout, and failure state.
- ✓Credentials and sensitive data stay server-side with least-privilege access.
- ✓Model output is validated before it reaches a database, user, or external action.
- ✓Sources, tool calls, prompts, versions, and human decisions are traceable.
- ✓A fixed evaluation set covers normal, ambiguous, adversarial, and unavailable-tool cases.
- ✓The workflow has a visible fallback and a manual recovery path.