OpenAIClientOptions options = new() { Endpoint = new Uri(settings.OpenAIEndpoint) };
ApiKeyCredential key = new ApiKeyCredential(settings.OpenAIKey);
IChatClient chatClient = new OpenAIClient(key, options)
    .GetChatClient(settings.TextModelName)
    .AsIChatClient();

const string greeting = "How can I help you today?";
const string userText = "Is today after May 1st? If so, tell me what the next month will be.";
string ragContext = "The current date is May 27th";

List<ChatMessage> messages = new()
{
    new(ChatRole.System, $"{settings.SystemPrompt} {ragContext}"),
    new(ChatRole.Assistant, greeting),
    new(ChatRole.User, userText)
};

ChatResponse responses = await chatClient.GetResponseAsync(messages);
foreach (var response in responses.Messages)
{
    console.MarkupLineInterpolated($"[cyan]AI[/]: {response.Text}");
}

IEvaluator evaluator = new CoherenceEvaluator();
ChatConfiguration chatConfig = new(chatClient);
EvaluationResult evalResult = await evaluator.EvaluateAsync(messages, responses, chatConfig);

IEvaluator evaluator = new CompositeEvaluator(
    new CoherenceEvaluator(),
    new CompletenessEvaluator(),
    new FluencyEvaluator(),
    new GroundednessEvaluator(),
    new RelevanceEvaluator(),
    new RelevanceTruthAndCompletenessEvaluator(),
    new EquivalenceEvaluator(),
    new RetrievalEvaluator()
);

List<EvaluationContext> context = new()
{
    new RetrievalEvaluatorContext("The current date is May 27th"),
    new CompletenessEvaluatorContext("Today is May 27th and the next month is June"),
    new EquivalenceEvaluatorContext("The current date is May 27th, which is after May 1st and before June."),
    new GroundednessEvaluatorContext("May 27th is after May 1st. June is the month immediately following May.")
};

ChatConfiguration chatConfig = new(chatClient);
EvaluationResult evalResult = await evaluator.EvaluateAsync(messages, responses, chatConfig, context);

Table table = new Table().Title("Evaluation Results");
table.AddColumns("Metric", "Value", "Reason");

foreach (var kvp in evalResult.Metrics)
{
    EvaluationMetric metric = kvp.Value;
    string reason = metric.Reason ?? "No Reason Provided";
    string value = metric.ToString() ?? "No Value";

    if (metric is NumericMetric num)
    {
        value = num.Value.HasValue ? num.Value.Value.ToString("F1") : "No value";
    }
    table.AddRow(kvp.Key, value, reason);
}

console.Write(table);