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nlohmann

C++ LLM Client Using OpenRouter API

This project demonstrates how to integrate Large Language Models (LLMs) into native C++ applications using the OpenRouter API.

Key Features

OpenRouter API Integration Connect to a wide range of AI models via OpenRouter's unified API endpoint.

C++ Implementation Written in modern C++ for portability and efficiency.

Command-Line Interface Simple text-based interface for interacting with AI models.

Easy Configuration Set your API key and preferred model in a config.json file: api_key, url, model. Example:

{ "api_key": "", "url": "https://openrouter.ai/api/v1/chat/completions", "model": "deepseek/deepseek-r1-0528-qwen3-8b:free" }

Dependencies

C++11-compliant and forward-compatible

libcurl (for HTTP requests)

nlohmann/json (for JSON parsing)

Educational Value

Learn how to integrate third-party APIs in C++

Use C++ to build a minimal conversational AI interface

Serve as a starting point for more advanced native AI applications

Simple C++ interface for the Mistral Language Models. Uses the OpenAPI interface provided by Mistral.

Coverage: https://expresscpp.gitlab.io/expresscpp/, Examples: https://gitlab.com/expresscpp/expresscpp/tree/master/example