Features

ChatBotKit Features Topics for developer

ChatBotKit is a conversational AI platform that helps you build, train, and deploy AI-powered chatbots and virtual assistants for your business.

Cross-Device ContinuityLet customers start on one device and finish on another - dispatch a conversation in the background and subscribe from anywhere to watch and complete it live, with nothing lost in between.
Secret Proxy & Token MintingUse your stored credentials from your own code without ever exposing them - proxy requests with the secret injected server-side, or mint short-lived tokens when a proxy can't reach, across the Node, Go, and Python SDKs.
GitHub IntegrationAutomate triage and routine code work in your repos - bring agents into GitHub issues and pull requests to reply in-thread, triage, read code, and act on your repositories.
Skill Server IntegrationDrive any skillset from anything - expose it as a plain authenticated HTTP endpoint that any agent, script, or curl command can call, with no client library to install.
OpenAI-Compatible APIUpgrade from raw model calls to a full agent system with one config change - point any OpenAI client at ChatBotKit and get agents, knowledge, and tools behind a single model identifier. ChatBotKit's OpenAI-compatible API lets you point any OpenAI client or SDK at the platform with a single configuration change-and package an entire system of agents, knowledge, and tools behind a single model identifier.
GraphQL APIBuild agentic applications faster - a GraphQL API that turns standard REST services into intelligent, agent-ready proxies designed for AI development and orchestration. ChatBotKit's GraphQL API provides powerful, agent-friendly endpoints that transform standard REST APIs into intelligent, agentic proxies designed for AI development and orchestration.
Agent SkillsAdd new agent capabilities by dropping a folder in - package skills as SKILL.md files your agents load in the shell, CLI, or a single binary, with no redeploy.
Trace DebuggingFind and fix agent problems fast - real-time conversation tracing gives deep visibility into agent behavior so developers diagnose issues and optimize performance without guesswork.