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This guide walks through the full-stack integration process, from your existing APIs to a deployed Aomi App that your users can interact with across web, Telegram, and other channels. To work with us on an integration, contact us.

The Pipeline

Each tool wraps one or more of your API endpoints. A one to one mapping is not required. You can aggregate multiple endpoints into a single tool so the LLM’s context stays clean and semantically coherent.

1. Your APIs

Aomi does not modify your APIs. The only requirement is that they are reachable over HTTP. Your backend owns all user state. The Aomi App retains conversation history but nothing about your users, balances, or sessions.

2. Aomi Tool Layer

Aomi wraps your endpoints as tools, typed functions the LLM can invoke during a conversation. Each tool has a name, description, and typed input parameters. Tools can execute concurrently.

3. AomiApp Configuration

Three settings define the App’s behavior: Preamble is the system prompt that shapes the AI’s personality, constraints, and rules. A well written preamble keeps the AI on task and prevents overstepping.
Model Selection offers different models for different needs: RAG Document Store: if you have documentation, FAQs, or knowledge base articles, Aomi sets up RAG ingestion. The AI searches these documents when answering questions beyond what tools provide.

4. Deployed App

Aomi compiles and deploys the configured App as an isolated app on the hosted platform. Each app gets a scoped API key and a dedicated chat endpoint.

5. Client Integration

Next Steps

Last modified on June 4, 2026