Getting Started left off with one Topic answering one question in the Previewer. Not every deployment goes all the way: some teams only deflect and route, others automate full workflows on top. Pick the pieces that fit.Documentation Index
Fetch the complete documentation index at: https://docs.asapp.com/llms.txt
Use this file to discover all available pages before exploring further.
Deployment patterns
Answer from KB and route to humans
Use your Knowledge Base so GenerativeAgent can answer what it can. Everything else transfers to the right human queue. The first real deployment for most teams.
Automate workflows
Tasks take over work human agents used to handle, backed by API Connections. Layers on top of KB answering and routing.
How GenerativeAgent works
Read this before configuring anything else. Voice and chat behave differently, and the distinction shapes how Topics, Tasks, and Functions are written.How GenerativeAgent works
Talker-Reasoner for voice, single-model for chat, and what happens on each turn.
Knowledge base and routing
Ingest Sources, grow Topics beyond the first one, and configure Handoffs for transferring to human queues.Connect a knowledge base
Ingest Sources from URLs, files, or an existing KB and keep them in sync.
Route conversations
Configure Topics and Handoffs so GenerativeAgent answers what it can and transfers the rest.
Handoffs
Availability-aware routing to agent queues with context the human can use.
Task automation
Replace scripted human-agent workflows with deterministic Tasks. Tasks call Functions, Functions call the APIs configured as API Connections, so the backend work is part of building a Task.Add a use case
Design a Task, wire it to Topics, and pattern it after a real agent workflow.
API Connections
Map a JSON API to an LLM-friendly interface. Works for Salesforce, Zendesk, HubSpot, and most modern APIs.
Code API Connections
Chain multiple calls, handle SOAP or form posts, or run a complex workflow as one action.
Testing
Validate changes before they ship. Previewer for interactive checks, Test Scenarios for scripted regressions, functional testing for the integration surface.Previewer
Interactive testing for a single Topic or Task in the Draft environment.
Test Scenarios
Scripted multi-turn conversations that run as regression checks.
Functional testing
Validate end-to-end behavior across the deployment, not just the agent.
Deployment and channels
Promote Draft to Production and wire the agent into a voice or chat platform.Deploy GenerativeAgent
Promote Draft to Production and manage versions across environments.
Channel integrations
Amazon Connect, Genesys, Twilio, Zendesk Talk, SIP, or the ASAPP Web SDK.
Go-live checklist
The final review before production traffic hits the agent.
Human oversight and safety
Human-in-the-Loop approval and data-handling controls. Configure early, not after go-live.Human-in-the-Loop Agent
Require human approval on specific Tasks or Topics before the agent acts.
Data redaction
PII handling in transcripts, logs, and evaluators.
Observation and improvement
Review transcripts, score live traffic with Evaluators, and track containment and Task completion in reports.Conversations
Full transcript review with reasoning traces and tool calls.
Evaluators
Manual annotation and automated scoring on live traffic.
Reporting
Containment, handoff, and Task metrics across the deployment.