// Initialize the logger

Logger::init(Logger::Level::INFO);

// Get API key from .env, environment, or command line

std::string api_key;

auto& config = ConfigLoader::getInstance();

// Try to get API key from config or environment

api_key = config.get("GEMINI_API_KEY", "");

// If not found, check command line

if (api_key.empty() && argc > 1) {

api_key = argv[1];

}

// Still not found, show error and exit

if (api_key.empty()) {

Logger::error("API key not found. Please:");

Logger::error("1. Create a .env file with GEMINI_API_KEY=your_key, or");

Logger::error("2. Set the GEMINI_API_KEY environment variable, or");

Logger::error("3. Provide an API key as a command line argument");

co_return EXIT_FAILURE;

}

// Create the context

auto context = std::make_shared<Context>();

// Configure the LLM

auto llm = createLLM("google", api_key, "gemini-2.5-flash-lite");

// Configure LLM options

LLMOptions options;

options.temperature = (0.7);

llm->setOptions(options);

context->setLLM(llm);

// Register built-in tools

auto registry = tools::ToolRegistry::global();

registry.registerStandardTools(llm);

context->registerToolRegistry(registry);

// Get user input

Logger::info("Enter a question or task for the model (or 'exit' to quit):");

std::string user_input;

while (true) {

Logger::info("> ");

std::getline(std::cin, user_input);

if (user_input == "exit" || user_input == "quit" || user_input == "q") {

break;

}

if (user_input.empty()) {

continue;

}

try {

// Chat with the model with coroutines

auto generator = context->streamChat(user_input);

// Display the result as it arrives

while (auto item = co_await generator.next()) {

std::string chunk = *item;

std::cout << chunk << std::flush;

}

std::cout << std::endl;

} catch (const std::exception& e) {

Logger::error("Error: {}", e.what());

}

}

co_return EXIT_SUCCESS;

// Use blockingWait to execute the coroutine

return blockingWait(runStreamingChat(argc, argv));

}