Zig Requires Chilkat v11.2.0+

Prove Stateful Multi-Turn Conversation

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This example is to prove that the 2nd request in a conversation is part of a stateful multi-turn conversation. The 2nd request asks for information provided in the 1st 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("google");

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

    // Choose a model.
    ai.setModel("gemini-3.6-flash");

    // 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 = "";
    const conversation_name = "test_conversation";
    ai.newConvo(conversation_name, system_msg, developer_msg) catch {};

    // -------------------------------------------------------------------------------------------
    // Our first request will establish a secret that we'll ask for in the 2nd request.
    // Add a text input.
    ai.inputAddText("Please remember this: The word I'll ask for later is BlubberFish.  What's the word?") catch {};

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

    // Note: The inputs accumulated through one or more calls to Input* methods are cleared when the Ask method returns with success.

    // 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", .{});

    // Sample output:

    // The word is **BlubberFish**.

    // -------------------------------------------------------------------------------------------
    // Let's ask for the word. If this is a stateful conversation, the AI should respond correctly.
    ai.inputAddText("OK, I'm going to ask you again, what's the word?") 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:

    // The word is **BlubberFish**.

    // -------------------------------------------------------------------------------------------
    // 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": "user",
    //       "content": [
    //         {
    //           "type": "input_text",
    //           "text": "Please remember this: The word I'll ask for later is BlubberFish.  What's the word?"
    //         }
    //       ]
    //     },
    //     {
    //       "role": "assistant",
    //       "content": [
    //         {
    //           "type": "output_text",
    //           "text": "The word is **BlubberFish**."
    //         }
    //       ]
    //     },
    //     {
    //       "role": "user",
    //       "content": [
    //         {
    //           "type": "input_text",
    //           "text": "OK, I'm going to ask you again, what's the word?"
    //         }
    //       ]
    //     },
    //     {
    //       "role": "assistant",
    //       "content": [
    //         {
    //           "type": "output_text",
    //           "text": "The word is **BlubberFish**."
    //         }
    //       ]
    //     }
    //   ]
    // }

    // -------------------------------------------------------------------------------------------
    // If we unselect the conversation, so that no conversation is selected,
    // then the same query results in the AI not knowing the word.

    ai.setSelectedConvo("");

    ai.inputAddText("OK, I'm going to ask you again, what's the word?") 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:

    // I apologize, but I don't have the context of our previous interaction or what "the word" you're referring to might be.
    // Could you please remind me or provide the clue again? I'm ready to help you figure it out!
}