Agent Architecture
Multi-agent platform with Router Agent orchestration, Structured Data Agent validation, and real-time streaming powered by Cloudflare Workers edge deployment.
Conversation Orchestration
The Router Agent manages conversation lifecycle, tracks required fields, and streams responses in real-time with sub-50ms latency.
Conversation Management
Start, resume, and list conversations with full state persistence. Cache-first architecture ensures sub-50ms lookups with automatic database fallback for recovery.
Dynamic Field Collection
Tracks required fields defined per conversation and guides users through structured prompts for missing data. Fields are extracted automatically using LLM-powered analysis.
Real-Time Streaming
Dual transport support with WebSocket for Node/Bun environments and SSE for Cloudflare Workers. Token-by-token streaming provides instant user feedback.
LLM Integration
Request-scoped OpenAI provider with schema-guided extraction. Deterministic fallback heuristics ensure system continues functioning when LLM is unavailable.
Data Ingestion
Accepts structured submissions from Router Agent with comprehensive Zod validation. All fields are type-checked and validated against shared schemas.
Admin Validation Workflow
All submissions default to validation=false until admin review. Approval/rejection tracking with comprehensive audit trails for compliance and reporting.
Audit Trail
Complete history of validator actions with timestamps, rejection reasons, and approval routing. Full traceability from submission to final approval.
Type-Safe Payloads
End-to-end type safety with shared Zod schemas across Router Agent, Structured Agent, and UI. Compile-time guarantees eliminate runtime validation errors.
Validation & Persistence
The Structured Data Agent handles submission ingestion, admin validation workflows, and maintains comprehensive audit trails for compliance.
Type-Safe Agent Communication
tRPC procedures provide end-to-end type safety with automatic inference
// Router Agent streaming conversation with field extraction
export const streamConversation = authProcedure
.input(streamConversationSchema)
.subscription(async ({ input, ctx }) => {
return observable<ConversationStreamChunk>((observer) => {
// Extract fields using LLM
const fields = await extractFields(message, requiredFields);
// Stream token-by-token response
for await (const token of response) {
observer.next({ type: "token", content: token });
}
// Hand off to Structured Agent
if (allFieldsCollected) {
await submitToStructuredAgent({
conversationId,
payload: fields
});
observer.next({ type: "complete" });
}
});
});Agent Layer
Infrastructure
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