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Zig Requires Chilkat v11.3.0+

Azure AI Foundry Query

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This is the simplest example of using Chilkat with Azure AI Foundry.

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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();

    // For Azure AI Foundry we use "custom".
    ai.setProvider("custom");

    // The base URL format for the Chat Completions API when using the cognitiveservices.azure.com domain is:
    // https://{resource-name}.cognitiveservices.azure.com/openai/deployments/{deployment-id}/chat/completions?api-version={api-version}

    // The string "{deployment}" in the base URL is dynamically replaced with the selected AI model each time a request is sent.
    // In this case, the chosen model (below) is "gpt-5.6-terra".  After substitution the base URL becomes:
    // https://chilkat.cognitiveservices.azure.com/openai/deployments/gpt-5.6-terra/chat/completions?api-version=2025-01-01-preview

    // In this example, our resource name is "chilkat", and the api-version is "2025-01-01-preview"
    ai.setBaseUrl("https://chilkat.cognitiveservices.azure.com/openai/deployments/{deployment}/chat/completions?api-version=2025-01-01-preview");
    ai.setApiSpec("ChatCompletions");

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

    // Choose a model.
    ai.setModel("gpt-5.6-terra");

    // 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)});

    // Sample output:
    // Hello! How can I assist you today?

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