ChatBotKit Guide Topics for architecture

Discover comprehensive guides for building and deploying conversational AI solutions. Each guide provides in-depth coverage of key topics.

Application Architectures: How Your Users Map onto the Platform
A guide to the application shapes you can build on ChatBotKit, organized by the one decision that shapes all the others - how an end user maps onto a platform identity primitive. Covers CLI agents, embedded widgets, messaging agents, single-account and multi-account apps, portals, and white-label platforms.
Centralized Agents, Distributed Runtimes: Deploying at Scale
A deployment pattern where the agent's core — model, knowledge, tools, and policy — is built and managed centrally on ChatBotKit while a thin external runtime, built with the Go SDK, executes against it. Change the central agent once and every deployment's behavior changes with it.
Cross-Account Access and Resource Sharing
A guide to how resources flow between accounts on ChatBotKit. Covers the private / protected / public visibility model, cross-account reference patterns, shared platform accounts, white-label and marketplace shapes, and the trade-offs around blast radius, rollback, and usage attribution.
Multi-Agent Coordination: Understanding the Limits
A guide to the mathematical and practical limits of multi-agent AI systems, covering Amdahl's Law, coordination overhead, the CAP theorem, and architectural strategies that actually scale.