Editorial Desk
Product updates, architecture notes, and implementation guides from the AICredits engineering and platform teams.
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A complete beginner path from zero to a working AI app — a document Q&A tool — built and deployed over a weekend, with the total real cost in rupees at the end.
Token, context window, temperature, embedding, RAG, function calling — a plain-language reference for the terms that show up in every LLM API's documentation.
There's no single 'best model' — only the best model for a specific task and budget. Here's a practical decision framework, plus a free tool to narrow it down.
DeepSeek, Llama, and Qwen have closed much of the gap with GPT and Claude on many tasks — but the two categories still differ in ways that matter for real decisions. Here's how to think about the trade-off.
Three different ways to make an LLM behave the way you need — and three very different cost and effort profiles. Here's how to pick the right one for your actual problem.
o1, o3, and DeepSeek R1 think before they answer, and that thinking is billed as output tokens. Here's when the extra cost pays for itself and when it's wasted spend.
A complete Telegram bot with an LLM backend, using python-telegram-bot and a budget model — with the real per-day cost for a small community bot.
Turn any Google Sheet into an AI-powered tool with a custom formula — classify, summarize, or extract data from a cell using a few lines of Apps Script and an INR-billed API key.
Zapier and Make.com's built-in OpenAI modules bill through your own OpenAI account in USD. Here's how to route those same automations through an INR-billed key instead.
The Vercel AI SDK's OpenAI provider works with any OpenAI-compatible endpoint. Here's how to wire it to AICredits for INR billing and access to every major model in your Next.js app.
College projects and hackathons need real API access to GPT-4o, Gemini, or Claude — not just a chat window. Here's how to get a working key on a student budget, no international card required.
Mistral's European models and xAI's Grok are both hard to bill from India directly. Here's how to access both through one INR-billed API key via UPI.
Whisper and OpenAI TTS handle English well but struggle with Indian accents and languages. Here's how to use Sarvam AI's Indic speech models through the same API, with real costs.
Every LLM API bill is denominated in tokens, not words or characters. Here's what a token actually is, why it matters for cost, and how to count them before you send a request.
Point your AI coding editor at AICredits instead of a single provider's API, and switch between GPT-4o, Claude, Gemini, and DeepSeek without changing keys — billed in rupees.
A practical guide to connecting an LLM to the WhatsApp Business API for customer support or lead qualification in India, with the real AI cost per conversation in rupees.
DeepSeek V3 and DeepSeek R1 are some of the cheapest frontier-grade models available. Here's how to call them from India, pay in rupees via UPI, and what they actually cost per request.
Step-by-step guide for Indian developers to access Google's Gemini models and pay in rupees via UPI or net banking — no international credit card, no USD billing.
Use the official Anthropic Python and TypeScript SDKs with AICredits. One environment variable routes all requests through your INR wallet — no OpenAI SDK required.
A practical reference for the prompting techniques that actually matter in production — system prompts, chain-of-thought, output schemas, few-shot examples, and more.
JSON mode, function calling, schema constraints, and prompt engineering — the complete toolkit for reliable structured output across GPT-4o, Claude, and Gemini.
Server-sent events, async generators, error handling, and UI integration — everything you need to stream LLM responses to your users in real time.
Adding examples to your prompt improves accuracy but costs more in tokens. Here is a practical framework for deciding when the quality gain is worth the extra spend.
One number changes your LLM from a deterministic calculator to a creative writer. Here's what temperature and sampling parameters actually do.
Most Indian debit cards and Rupay cards get declined on OpenAI's billing page. Here are your actual options — including one that requires no international card at all.
Function calling turns passive LLMs into active agents that can fetch data, call APIs, and trigger workflows — here's how to do it right.
LiteLLM is free and open-source with 40K GitHub stars. AICredits is a managed gateway with INR billing. Here is a clear comparison to help you pick the right tool for your stack.
A practical benchmark across the three cheapest capable models — speed, cost in ₹, output quality, and which one wins for classification, summarisation, and code tasks.
Retrieval-Augmented Generation lets you connect any LLM to your own documents, databases, and knowledge bases — no fine-tuning required.
System prompts are the most powerful lever you have over LLM behavior. Learn how to write them properly.
Five practical techniques to cut your LLM API spend in half — model selection, semantic caching, prompt compression, fallback routing, and smart budgeting. With real cost numbers in ₹.
Learn how chain-of-thought prompting works under the hood, when to use it, and how to implement zero-shot, few-shot, and tree-of-thought variants without blowing your token budget.
A step-by-step guide to connecting n8n AI Agent and OpenAI nodes to Claude, GPT-4o, and Gemini via AICredits — no USD billing, no international card, works with UPI.
A step-by-step Python tutorial for routing requests to GPT-4o, Claude, Gemini, and DeepSeek through a single API key — with cost tracking in ₹ for every call.
If you are building AI apps with Claude Code, Cursor, or Windsurf and need API keys for GPT-4o, Claude, or Gemini — here is how to get them billed in INR with no international card required.
Step-by-step guide for Indian developers to access Anthropic's Claude models and pay in rupees via UPI or net banking, with no international card needed.
A practical cost breakdown for Indian developers choosing between OpenAI GPT-4o and Anthropic Claude 3.5 Sonnet — token prices, INR conversion, and which model wins for your use case.
A practical guide to building a cost-efficient LangChain agent in Python using affordable models available in India, with real INR cost breakdowns per tool call.
How to convert noisy token-level AI usage into clear month-end accounting with explainable per-request charges.
Start from docs quickstart, then move to API reference and pricing formula pages for production integration.
