/tools namespace · APlicious

AI chat API for developers — multi-turn conversations grounded in live verified data

Add multi-turn AI chat to your app in one POST request. Configure a chat once in your dashboard — APlicious fetches live data from any namespace and your LLM responds using only verified facts. One chat config, unlimited concurrent users.

21namespaces AI can query

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POST /api/v1/ai/chat

// One-time setup: create a chat config in /dashboard/ai-chats
// Then from your app — any user, any session:
const res = await fetch('https://aplicious.com/api/v1/ai/chat', {
  method: 'POST',
  headers: { 'X-API-Key': 'lapi_live_••••', 'Content-Type': 'application/json' },
  body: JSON.stringify({
    chat_id: 'chat_vedic_advisor',      // your configured chat
    session_id: req.user.id,            // unique per user
    messages: [{ role: 'user', content: 'What does my moon nakshatra say about today?' }]
  }),
});
const { data } = await res.json();
// data.answer: grounded in today's panchang + the user's chart
// data._audit: shows exactly what data was fetched

No credit card · Free to start · X-API-Key header auth

What's included in /tools

One config, unlimited users

Create a chat_id once in /dashboard/ai-chats — every user gets their own private conversation thread via session_id. No per-user setup.

Stateful conversation history

The session_id ties messages together server-side — users can ask follow-up questions and the LLM has full context from the same session.

Live data on every turn

Each message triggers a fresh data fetch from the configured namespace — the LLM always answers using today's prices, today's legal statutes, today's panchang.

Provider-agnostic

Works with any of your connected LLM providers — OpenAI GPT-4o, Anthropic Claude, Gemini, Mistral, or Groq. Switch providers without changing your integration.

Zero AI code on your side

Your app sends a POST with the user message and session_id. APlicious handles data fetching, prompt construction, LLM call, and response formatting.

Start using the AI chat API for developers today

Free tier — 250 calls/month, no credit card. Upgrade when you need more.

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Frequently asked questions

How many concurrent users can one chat_id serve?

Unlimited — the chat_id is just a configuration. Each user's session_id creates an independent conversation thread with its own history.

Does conversation history persist across sessions?

History is scoped to the session_id. As long as you pass the same session_id, the LLM has context from all prior messages in that session.

Can I use this without building a RAG pipeline?

Yes — that's the point. APlicious is the data layer. You don't build a vector database, chunking pipeline, or retrieval system.

What's the difference between AI Chat and AI Narrative?

Chat is multi-turn and conversational. Narrative is single-shot: you define one template, pass different context_params per user, and get a personalised report or summary each time.

Related API guides

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