Building reliable, production-ready AI systems.

import { Deepgram } from "@deepgram/sdk";
import { twiml } from "twilio";

export async function handleVoiceStream(req: Request) {
  const ws = new WebSocketStream(req);
  const dg = new Deepgram(process.env.DG_KEY);
  
  // Real-time transcription & intent routing
  dg.transcription.listen(ws, (transcript) => {
     if (transcript.intent === "booking") {
        routeToAgent("reservation");
     }
  });
}

@app.post("/api/v1/orchestrate")
async def orchestrate_workflow(payload: WorkflowInput):
    """
    Production-grade workflow orchestration.
    """
    async with db.transaction():
        # Initialize traceable state
        state = await StateManager.init(payload.id)
        
        # Execute agent graph
        result = await langgraph.run(
            state=state, 
            tools=[SearchTool, DBTool]
        )
        return result

WITH user_query AS (
  SELECT embedding 
  FROM generate_embedding('How do I reset my password?')
)
SELECT chunk_text, 
       1 - (chunks.embedding <=> user_query.embedding) AS similarity
FROM documents
JOIN chunks ON chunks.doc_id = documents.id
WHERE similarity > 0.85
ORDER BY similarity DESC
LIMIT 5;

import { z } from "zod";
import { instructor } from "@instructor-ai/instructor";

// Strict schema validation for parsed documents
const InvoiceSchema = z.object({
  vendor: z.string(),
  total_amount: z.number().positive(),
  line_items: z.array(z.object({
    description: z.string(),
    price: z.number()
  })),
  confidence_score: z.number().min(0).max(1)
});

const result = await instructor.extract({ 
  schema: InvoiceSchema, 
  text: ocrText 
});