AI Integration

Qlara Platform provides machine-readable documentation designed for AI assistants. Whether you use ChatGPT, Claude, Gemini, GitHub Copilot, Cursor, or any other LLM, you can feed our API docs directly to your tool and get accurate, context-aware code generation.

How It Works

Machine-Readable Endpoints

We follow the llms.txt standard to provide structured documentation optimized for AI consumption:

File	Size	Best for
/llms.txt	~3 KB	Quick questions: "What endpoints are available?", "How does auth work?"
/llms-full.txt	~55 KB	Code generation: "Write a Python function to send an SMS", "Build a webhook handler"

:::tip When to use which llms.txt is a lightweight overview — great for quick lookups and when you have token limits. llms-full.txt includes all parameters, schemas, examples, and error codes — use it when you need the AI to generate production-ready code. :::

Setup Guide

Claude Projects

1. Go to claude.ai and create a new Project
2. In the project Knowledge, click Add content → From URL
3. Paste: https://lora-api.agiletelecom.com/llms-full.txt
4. Start asking questions about the Qlara API

:::info Claude Code If you use Claude Code (CLI), add the URL to your project's CLAUDE.md file and Claude will automatically reference it during development. :::

ChatGPT Custom GPTs

1. Go to ChatGPT → Explore GPTs → Create
2. Download llms-full.txt and upload it as a Knowledge file
3. In Instructions, add:

   You are an expert on the Qlara Platform API for multi-channel messaging (SMS, RCS, WhatsApp). Use the uploaded knowledge file to answer questions accurately. Always provide complete curl examples with the correct base URL.

4. Save and use your custom GPT

GitHub Copilot / Cursor

1. Download llms-full.txt
2. Place it in your project root and rename to qlara-api-docs.md
3. The AI will automatically reference it during code completion and chat

# Quick setup
curl -s "https://lora-api.agiletelecom.com/llms-full.txt" > qlara-api-docs.md

Any LLM via API

Fetch the documentation and include it in your system prompt:

import requests

# Fetch Qlara API docs
docs = requests.get("https://lora-api.agiletelecom.com/llms-full.txt").text

# Use with any LLM (OpenAI, Anthropic, Google, etc.)
messages = [
    {"role": "system", "content": f"You are a Qlara API expert. Reference:\n{docs}"},
    {"role": "user", "content": "Write a Python function to send an SMS"}
]

What Your AI Can Build

Once your AI assistant has the Qlara documentation, it can help with real integration tasks:

Example prompts

Category	Example prompt	What you get
Messaging	"Write a Python function that sends an SMS with delivery tracking"	Complete function with error handling and webhook setup
Campaigns	"Create a Node.js script to import 10,000 contacts from CSV and send a campaign"	End-to-end workflow with CSV parsing, contact creation, and campaign management
Webhooks	"Build an Express.js webhook handler for delivery notifications"	Server with DELIVERY, READ, and INBOUND event handling
Templates	"Generate a WhatsApp template with tracked links and buttons"	Template creation + Meta approval flow + send example
Multi-channel	"Write a Go service with WhatsApp → RCS → SMS fallback"	Service with fallback chain configuration and status tracking
Debugging	"My API returns 401 — what's wrong?"	Authentication troubleshooting with specific header format

API Coverage

The documentation files cover all 6 Qlara APIs and 42+ endpoints:

API	Endpoints	What's documented
Qlara Platform	42 endpoints	Contacts, lists, campaigns, webhooks, exports, inbox, media, subscription
SMS Universal	1 endpoint	Modern SMS with placeholders, scheduling, simulation
SMS Legacy	2 endpoints	Batch sending, credit check
RCS Send	1 endpoint	Rich cards, carousels, suggestions, fallback
RCS Templates	5 endpoints	CRUD for TEXT, CARD, CAROUSEL templates
WhatsApp	8 endpoints	Send, templates, phone numbers, media download

For the interactive API Reference with "Try it", see the API Reference.

Keep Your AI Up to Date

The llms.txt files are updated with every release. Here's how to stay current:

Tool	How to update
Claude Projects	Re-add the URL — Claude fetches the latest version automatically
ChatGPT	Re-download and re-upload llms-full.txt
Copilot / Cursor	Run: curl -s "https://lora-api.agiletelecom.com/llms-full.txt" > qlara-api-docs.md
Custom integration	Fetch the URL at startup or on a schedule

Check the Changelog for the latest API updates.

Resources

Resource	Link
llms.txt (overview)	/llms.txt
llms-full.txt (complete)	/llms-full.txt
API Reference	Qlara Platform
Postman Collections	Download
Use Cases	30 end-to-end scenarios
Changelog	Latest updates