This example assumes using Mistral; is in scope and apiKey contains your Mistral API key.
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44 | using var client = new MistralClient(apiKey);
var getWeatherTool = Meai.AIFunctionFactory.Create(
(string location) => $"The weather in {location} is 72°F and sunny.",
name: "get_weather",
description: "Gets the current weather for a given location.");
Meai.IChatClient chatClient = client;
var messages = new List<Meai.ChatMessage>
{
new(Meai.ChatRole.User, "What is the weather in Paris?"),
};
// First turn: model requests tool call
var response = await chatClient.GetResponseAsync(
messages,
new Meai.ChatOptions
{
ModelId = "mistral-small-latest",
Tools = [getWeatherTool],
});
var functionCall = response.Messages
.SelectMany(m => m.Contents)
.OfType<Meai.FunctionCallContent>()
.FirstOrDefault();
// Add assistant message with function call and tool result
messages.AddRange(response.Messages);
var toolResult = await getWeatherTool.InvokeAsync(
functionCall!.Arguments is { } args ? new Meai.AIFunctionArguments(args) : null);
messages.Add(new Meai.ChatMessage(Meai.ChatRole.Tool,
[
new Meai.FunctionResultContent(functionCall.CallId, toolResult),
]));
// Second turn: model should produce a final text response
var finalResponse = await chatClient.GetResponseAsync(
messages,
new Meai.ChatOptions
{
ModelId = "mistral-small-latest",
Tools = [getWeatherTool],
});
|