Extract data and pass to LLM

code.cs

// extract data as a string:

private string GetStringContentFromCrimeDataAIModel(List<CrimesAtLocationResponse> results, string postcode)
{
    if(results == null || !results.Any())
    {
        return "No data found";
    }

    results = results.OrderBy(x => x.month).ToList();
    var stringBuilder = new StringBuilder();
    stringBuilder.AppendLine($"Crime data for {postcode} {results[0]?.location?.street?.name ?? ""},columns:CrimeCategory,CrimeOutcome,ForDate;\nData:");

    foreach (var result in results)
    {
        foreach (var crimeData in results)
        {
            stringBuilder.Append($",{crimeData.category},{crimeData.outcome_status?.category ?? "no outcome"},{crimeData.month}");
        }
    }

    return stringBuilder.ToString();
}

// LLM prompt using the string from the previous method: 

// Add the crimeContext as a new input message
var inputMessages = new List<ChatMessage>();
inputMessages.Add(new SystemChatMessage(Consts.CrimeSummaryFunctionCalling)); //this is my system prompt
inputMessages.Add(new UserChatMessage($"Crime data for {arguments.postcode} is: {crimeContext}"));

// Now, make a final call with the updated input messages
ChatCompletion finalCompletion = await chatClient.CompleteChatAsync(inputMessages, chatCompletionOptions);