AI Agents

Chat Assistant overview

Chat Assistant overview: What Chat Assistant is, what parts it consists of, and how the agent works at a high level

Core concepts and terms

Core concepts and terms: Basic entities: account, channel, chat, dialog, agent, step, signal, and others

Chat events and the dialog lifecycle

Chat events and the dialog lifecycle: Which events in the chat start the agent, the dialog owner, the manager command

The agent's work cycle

The agent's work cycle: What happens during a single run: iterations, available steps, stopping

Agent settings

Agent settings: Channels, working hours and schedules, reply style, reminders, context clearing, catalog, knowledge base training

Agent instructions

Agent instructions: The prompt and its slots, the work dashboard, where to place which instructions

Scenario steps

Scenario steps: What a step consists of: events, visibility, data, and actions

Scenario

Scenario: How steps are assembled into a scenario, how the agent works through it, the dashboard, choosing the structure

Actions

Actions: What the agent does through steps: saving data, messages, transitions, handover to a manager

Signals

Signals: Background recognition of conversation states and automatic reaction to them