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// <complete_code>
// <imports>
using System.Text.Json;
using Microsoft.AI.Foundry.Local;
using Microsoft.AI.Foundry.Local.OpenAI;
using Microsoft.Extensions.Logging;
// </imports>
CancellationToken ct = CancellationToken.None;
// <tool_definitions>
// --- Tool definitions ---
List<ToolDefinition> tools =
[
new ToolDefinition
{
Type = ToolType.Function,
Function = new FunctionDefinition()
{
Name = "get_weather",
Description = "Get the current weather for a location",
Parameters = new PropertyDefinition()
{
Type = "object",
Properties = new Dictionary<string, PropertyDefinition>()
{
{ "location", new PropertyDefinition() { Type = "string", Description = "The city or location" } },
{ "unit", new PropertyDefinition() { Type = "string", Description = "Temperature unit (celsius or fahrenheit)" } }
},
Required = ["location"]
}
}
},
new ToolDefinition
{
Type = ToolType.Function,
Function = new FunctionDefinition()
{
Name = "calculate",
Description = "Perform a math calculation",
Parameters = new PropertyDefinition()
{
Type = "object",
Properties = new Dictionary<string, PropertyDefinition>()
{
{ "expression", new PropertyDefinition() { Type = "string", Description = "The math expression to evaluate" } }
},
Required = ["expression"]
}
}
}
];
// --- Tool implementations ---
string ExecuteTool(string functionName, JsonElement arguments)
{
switch (functionName)
{
case "get_weather":
var location = arguments.GetProperty("location")
.GetString() ?? "unknown";
var unit = arguments.TryGetProperty("unit", out var u)
? u.GetString() ?? "celsius"
: "celsius";
var temp = unit == "celsius" ? 22 : 72;
return JsonSerializer.Serialize(new
{
location,
temperature = temp,
unit,
condition = "Sunny"
});
case "calculate":
var expression = arguments.GetProperty("expression")
.GetString() ?? "";
try
{
var result = new System.Data.DataTable()
.Compute(expression, null);
return JsonSerializer.Serialize(new
{
expression,
result = result?.ToString()
});
}
catch (Exception ex)
{
return JsonSerializer.Serialize(new
{
error = ex.Message
});
}
default:
return JsonSerializer.Serialize(new
{
error = $"Unknown function: {functionName}"
});
}
}
// </tool_definitions>
// <init>
// --- Main application ---
var config = new Configuration
{
AppName = "foundry_local_samples",
LogLevel = Microsoft.AI.Foundry.Local.LogLevel.Information
};
using var loggerFactory = LoggerFactory.Create(builder =>
{
builder.SetMinimumLevel(
Microsoft.Extensions.Logging.LogLevel.Information
);
});
var logger = loggerFactory.CreateLogger<Program>();
await FoundryLocalManager.CreateAsync(config, logger);
var mgr = FoundryLocalManager.Instance;
var catalog = await mgr.GetCatalogAsync();
var model = await catalog.GetModelAsync("qwen2.5-0.5b")
?? throw new Exception("Model not found");
await model.DownloadAsync(progress =>
{
Console.Write($"\rDownloading model: {progress:F2}%");
if (progress >= 100f) Console.WriteLine();
});
await model.LoadAsync();
Console.WriteLine("Model loaded and ready.");
var chatClient = await model.GetChatClientAsync();
chatClient.Settings.ToolChoice = ToolChoice.CreateAutoChoice();
var messages = new List<ChatMessage>
{
new ChatMessage
{
Role = ChatMessageRole.System,
Content = "You are a helpful assistant with access to tools. " +
"Use them when needed to answer questions accurately."
}
};
// </init>
// <tool_loop>
Console.WriteLine("\nTool-calling assistant ready! Type 'quit' to exit.\n");
while (true)
{
Console.Write("You: ");
var userInput = Console.ReadLine();
if (string.IsNullOrWhiteSpace(userInput) ||
userInput.Equals("quit", StringComparison.OrdinalIgnoreCase) ||
userInput.Equals("exit", StringComparison.OrdinalIgnoreCase))
{
break;
}
messages.Add(new ChatMessage
{
Role = ChatMessageRole.User,
Content = userInput
});
var response = await chatClient.CompleteChatAsync(
messages, tools, ct
);
var choice = response.Choices[0].Message;
if (choice.ToolCalls is { Count: > 0 })
{
messages.Add(choice);
foreach (var toolCall in choice.ToolCalls)
{
var toolArgs = JsonDocument.Parse(
toolCall.Function.Arguments
).RootElement;
Console.WriteLine(
$" Tool call: {toolCall.Function.Name}({toolArgs})"
);
var result = ExecuteTool(
toolCall.Function.Name, toolArgs
);
messages.Add(new ChatMessage
{
Role = ChatMessageRole.Tool,
ToolCallId = toolCall.Id,
Content = result
});
}
var finalResponse = await chatClient.CompleteChatAsync(
messages, tools, ct
);
var answer = finalResponse.Choices[0].Message.Content ?? "";
messages.Add(new ChatMessage
{
Role = ChatMessageRole.Assistant,
Content = answer
});
Console.WriteLine($"Assistant: {answer}\n");
}
else
{
var answer = choice.Content ?? "";
messages.Add(new ChatMessage
{
Role = ChatMessageRole.Assistant,
Content = answer
});
Console.WriteLine($"Assistant: {answer}\n");
}
}
await model.UnloadAsync();
Console.WriteLine("Model unloaded. Goodbye!");
// </tool_loop>
// </complete_code>