Zig Requires Chilkat v11.2.0+

AI: Simple Conversation

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Initiates a conversation and sends two requests. The second request includes the transcript of the messages between the user and assistant from the first request. Zig

const std = @import("std");
const chilkat = @import("chilkat");

pub fn main(init: std.process.Init) !void {
    const alloc = init.arena.allocator();

    // This example assumes the Chilkat API to have been previously unlocked.
    // See Global Unlock Sample for sample code.

    const ai = try chilkat.Ai.init();
    defer ai.deinit();

    // The provider can be "openai", "google", "claude", "deepseek", "xai", or "perplexity".
    // Support for additional providers will be added in future versions of Chilkat.
    ai.setProvider("claude");

    // Use your provider's API key.
    ai.setApiKey("MY_API_KEY");

    // Choose a model.
    ai.setModel("claude-opus-5");

    // Create a new conversation to be maintained locally in memory.
    // If the conversation is the first to be created, it is also automatically selected.
    const system_msg = "You are a helpful assistant";
    const developer_msg = "Respond only with markdown";
    const conversation_name = "test_conversation";
    ai.newConvo(conversation_name, system_msg, developer_msg) catch {};

    // -------------------------------------------------------------------------------------------
    // Make the first request...
    // Add a text input.
    ai.inputAddText("Say Hello") catch {};

    // Ask the AI for text output.
    ai.ask("text") catch {
        std.debug.print("{s}\n", .{try ai.getLastErrorText(alloc)});
        return;
    };

    // Get the text response.
    const sb_response = try chilkat.StringBuilder.init();
    defer sb_response.deinit();
    ai.getOutputTextSb(sb_response) catch {};
    std.debug.print("{s}\n", .{try sb_response.getAsString(alloc)});
    std.debug.print("----\n", .{});

    // -------------------------------------------------------------
    // The response is in markdown format.
    // Also see Markdown to HTML Conversion Examples.
    // -------------------------------------------------------------

    // Sample output:

    // # Hello! 👋
    // ## Welcome!
    // It's **great** to meet you. How can I *assist* you today?
    // ---
    // Feel free to ask me anything, and I'll respond in `markdown` format.

    // -------------------------------------------------------------------------------------------
    // Send the 2nd request in the conversation.
    ai.inputAddText("Thanks for saying Hello. Please give me a 2 sentence bit of wisdom from Confucious.") catch {};
    ai.ask("text") catch {
        std.debug.print("{s}\n", .{try ai.getLastErrorText(alloc)});
        return;
    };

    // Get the text response.
    sb_response.clear();
    ai.getOutputTextSb(sb_response) catch {};
    std.debug.print("{s}\n", .{try sb_response.getAsString(alloc)});

    // Sample output:

    // ## Wisdom from Confucius
    // > *"The man who moves a mountain begins by carrying away small stones. It does not matter how slowly you go as long as you do not stop."*
    // These words remind us that **persistence** and **patience** are the keys to achieving even the most daunting goals. 🏔️

    // -------------------------------------------------------------------------------------------
    // Look at the conversation so far...
    //
    const json = try chilkat.JsonObject.init();
    defer json.deinit();
    ai.exportConvo(conversation_name, json) catch {};
    json.setEmitCompact(false);
    std.debug.print("{s}\n", .{try json.emit(alloc)});

    // Note: The conversation transcript format exported and imported by Chilkat is always the OpenAI format,
    // regardless of the AI provider.  (Chilkat translates the format from OpenAI to whatever is needed by the actual AI provider being used.)

    // {
    //   "input": [
    //     {
    //       "role": "system",
    //       "content": [
    //         {
    //           "type": "input_text",
    //           "text": "You are a helpful assistant"
    //         }
    //       ]
    //     },
    //     {
    //       "role": "developer",
    //       "content": [
    //         {
    //           "type": "input_text",
    //           "text": "Respond only with markdown"
    //         }
    //       ]
    //     },
    //     {
    //       "role": "user",
    //       "content": [
    //         {
    //           "type": "input_text",
    //           "text": "Say Hello"
    //         }
    //       ]
    //     },
    //     {
    //       "role": "assistant",
    //       "content": [
    //         {
    //           "type": "output_text",
    //           "text": "# Hello! 👋\n\n**Welcome!** It's *great* to meet you.\n\nHow can I assist you today?"
    //         }
    //       ]
    //     },
    //     {
    //       "role": "user",
    //       "content": [
    //         {
    //           "type": "input_text",
    //           "text": "Thanks for saying Hello. Please give me a 2 sentence bit of wisdom from Confucious."
    //         }
    //       ]
    //     },
    //     {
    //       "role": "assistant",
    //       "content": [
    //         {
    //           "type": "output_text",
    //           "text": "## Wisdom from Confucius\n\n> *\"The man who moves a mountain begins by carrying away small stones. It does not matter how slowly you go as long as you do not stop.\"*\n\nThese words remind us that **persistence** and **patience** are the keys to achieving even the most daunting goals. 🏔️"
    //         }
    //       ]
    //     }
    //   ]
    // }
}