Cloud Native Architecture

Ready to run at enterprise scale.

Agomonia Labs separates stateless request handling, durable memory, retrieval indexes, file storage, agent execution, evaluation, and governance so each layer can scale independently.

React / Vite UI
Firebase Hosting

HTTPS + JWT

FastAPI Backend
Cloud Run

run_async

ADAR Orchestrator
Google ADK + Gemini

Specialist Agents
domain tools and workflows

Cloud SQL + pgvector
sessions, chunks, vectors

Firestore
memory, tenants, logs, indexes

Google Cloud Storage
source files and extracted chunks

Evaluation Layer
judge scores, traces, feedback

Stateless API scale-out

FastAPI runs on Cloud Run, so request capacity can scale horizontally while sessions, documents, vectors, and logs stay in managed stores.

Tenant and workspace isolation

Users, workspaces, documents, chat history, vectors, and agent runs are scoped so teams collaborate without crossing data boundaries.

Async agent runtime

ADK runners execute asynchronously, letting specialist agents call tools, retrieval systems, and live services without blocking the app.

Indexed retrieval layer

pgvector, Firestore vector indexes, and full-text search keep semantic and exact-match retrieval fast as knowledge volume grows.

Streaming user experience

Long-running chat, summaries, and workflow outputs stream progress to the browser while backend services continue work safely.

Operational governance

Trace IDs, audit logs, response evaluation, feedback, usage limits, privacy controls, and approval gates keep scaled AI reviewable.