{

using namespace droidcli::ai;

using droidcli::core::String;

LanguageRuntime runtime;

runtime.set_system_prompt("You are a concise assistant.");

assert(runtime.submit_user_message("What is 2+2?"));

assert(runtime.snapshot().awaiting_response);

const OpenAICompatOutboundRequest request = runtime.build_pending_chat_request();

assert(request.valid);

assert(request.body.find("What is 2+2?") != String::npos);

OpenAICompatChatResponse response;

response.transport_ok = true;

response.http_success = true;

response.status_code = 200;

response.done = true;

response.assistant_message = "4";

assert(runtime.apply_chat_response(response));

assert(!runtime.snapshot().awaiting_response);

assert(runtime.representation_text() == "4");

assert(runtime.format_transcript().find("assistant: 4") != String::npos);

assert(runtime.transcript().size() == 3);

LanguageTransportCallbacks transport;

transport.post_json = [](const String&, const String&, const droidcli::core::Array<String>&, int32_t& status_code_out, String& response_body_out) {

status_code_out = 200;

response_body_out = R"({"choices":[{"index":0,"message":{"role":"assistant","content":"Done."},"finish_reason":"stop"}]})";

return true;

};

assert(runtime.submit_user_message("Next question"));

assert(runtime.complete_turn(transport));

assert(runtime.representation_text() == "Done.");

return 0;