| Runtime | The execution engine every product calls. Handles AI inference (REST + SSE streaming), manages the agent registry (models, prompts, tools, secrets, channels), runs connectors for Slack, WhatsApp, and Email, and coordinates agent-to-agent (A2A) calls. |
| Studio | The application for building agents. You define agents — model, system prompt, tools, memory, knowledge, and channels — and Studio stores that configuration in the Runtime’s registry. Agents live and execute in the Runtime; Studio is where you author and manage them. Agent health dashboards surface telemetry from across the stack via the shared OTel pipeline. |
| InsightHub | The knowledge exploration front end. Users create topics, upload documents, and explore them through streaming AI conversation. InsightHub sends every query to the Runtime, which retrieves relevant document chunks (via Twyd), executes any tools, and streams the response back. |
| Twyd | The knowledge service. Handles document ingestion, chunking, embedding, and vector search. InsightHub indexes documents through Twyd; the Runtime queries it for RAG retrieval during explorations. |
| Observability pipeline | Runtime, Studio, and InsightHub each export logs, traces, and metrics via OpenTelemetry. Metrics are scraped by Prometheus and surface in Studio’s agent health dashboards. Traces and logs are forwarded to any OTLP-compatible backend (Grafana Tempo, Jaeger, etc.). No single product owns the pipeline — each service is an independent exporter. |
