Copilot.cs

using System;
using System.Collections.Generic;
using System.Text.Json;
using System.Threading.Tasks;
using System.Net.WebSockets;
using System.Text;
using System.Threading;
using Microsoft.Azure.WebJobs;
using Microsoft.Azure.WebJobs.Extensions.Http;
using Microsoft.Azure.WebJobs.Extensions.DurableTask;
using Microsoft.AspNetCore.Http;
using Microsoft.Extensions.Logging;
using StackExchange.Redis;
using Nethereum.Web3;
using Nethereum.Web3.Accounts;
using OpenAI_API;
using Azure.AI.TextAnalytics;
using Azure.AI.Speech;
using Azure.AI.Speech.Audio;
using RestSharp;
using Neo4j.Driver;

namespace CopilotAzureChatGPT5o
{
    public static class CopilotAzureAI
    {
        // ====== Multi-User AI Sessions (Redis) ======
        private static readonly string RedisHost = Environment.GetEnvironmentVariable("REDIS_HOST");
        private static readonly int RedisPort = int.Parse(Environment.GetEnvironmentVariable("REDIS_PORT"));
        private static readonly ConnectionMultiplexer Redis = ConnectionMultiplexer.Connect($"{RedisHost}:{RedisPort}");

        [FunctionName("StoreUserSession")]
        public static async Task StoreUserSession([ActivityTrigger] (string userId, string message) data, ILogger log)
        {
            var db = Redis.GetDatabase();
            string sessionKey = $"session:{data.userId}";
            List<string> messages = await GetUserSession(data.userId) ?? new List<string>();
            messages.Add(data.message);
            await db.StringSetAsync(sessionKey, JsonSerializer.Serialize(messages));
            log.LogInformation($"[Session] Stored for {data.userId}: {data.message}");
        }

        [FunctionName("RetrieveUserSession")]
        public static async Task<List<string>> RetrieveUserSession([ActivityTrigger] string userId, ILogger log)
        {
            return await GetUserSession(userId) ?? new List<string>();
        }

        private static async Task<List<string>> GetUserSession(string userId)
        {
            var db = Redis.GetDatabase();
            string sessionKey = $"session:{userId}";
            string sessionData = await db.StringGetAsync(sessionKey);
            return sessionData != null ? JsonSerializer.Deserialize<List<string>>(sessionData) : null;
        }

        // ====== Blockchain AI Memory (Ethereum) ======
        private static readonly string NodeUrl = Environment.GetEnvironmentVariable("ETH_NODE_URL");
        private static readonly string PrivateKey = Environment.GetEnvironmentVariable("ETH_PRIVATE_KEY");
        private static Web3 Web3 = new(new Account(PrivateKey), NodeUrl);
        private static string ContractAddress = "YOUR_DEPLOYED_CONTRACT_ADDRESS";

        [FunctionName("StoreMemoryBlockchain")]
        public static async Task StoreMemoryBlockchain([ActivityTrigger] (string input, string response) memory, ILogger log)
        {
            var contract = Web3.Eth.GetContractHandler(ContractAddress);
            var transaction = await contract.SendTransactionAsync("storeMemory", memory.input, memory.response);
            log.LogInformation($"[Blockchain] Memory stored on Ethereum: {transaction}");
        }

        // ====== AI-Powered Image Generation (DALL·E) ======
        [FunctionName("GenerateAIImage")]
        public static async Task<string> GenerateAIImage([ActivityTrigger] string prompt, ILogger log)
        {
            string apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY");
            var client = new OpenAIAPI(apiKey);
            var result = await client.Image.CreateImageAsync(prompt, 1, "1024x1024");
            string imageUrl = result.Data[0].Url;
            log.LogInformation($"[DALL·E] Generated Image: {imageUrl}");
            return imageUrl;
        }

        // ====== AI-Powered Video Generation (RunwayML) ======
        [FunctionName("GenerateAIVideo")]
        public static async Task<string> GenerateAIVideo([ActivityTrigger] string description, ILogger log)
        {
            var client = new RestClient("https://api.runwayml.com/v1/videos");
            var request = new RestRequest(Method.POST);
            request.AddHeader("Authorization", $"Bearer {Environment.GetEnvironmentVariable("RUNWAYML_API_KEY")}");
            request.AddJsonBody(new { prompt = description });
            var response = await client.ExecuteAsync(request);
            log.LogInformation($"[RunwayML] Video Response: {response.Content}");
            return response.Content;
        }

        // ====== Emotion Recognition AI ======
        private static readonly string _textAnalyticsKey = Environment.GetEnvironmentVariable("TEXT_ANALYTICS_KEY");
        private static readonly string _textAnalyticsEndpoint = Environment.GetEnvironmentVariable("TEXT_ANALYTICS_ENDPOINT");
        private static readonly TextAnalyticsClient _client = new(new Uri(_textAnalyticsEndpoint), new AzureKeyCredential(_textAnalyticsKey));

        [FunctionName("AnalyzeSentiment")]
        public static async Task<string> AnalyzeSentiment([ActivityTrigger] string message, ILogger log)
        {
            DocumentSentiment sentiment = await _client.AnalyzeSentimentAsync(message);
            string emotion = sentiment.Sentiment.ToString();
            log.LogInformation($"[Sentiment] Message: '{message}' → Emotion: {emotion}");
            return emotion;
        }

        // ====== Voice AI (Speech-To-Text & Text-To-Speech) ======
        private static readonly SpeechConfig _speechConfig = SpeechConfig.FromSubscription(
            Environment.GetEnvironmentVariable("SPEECH_KEY"),
            Environment.GetEnvironmentVariable("SPEECH_REGION"));

        [FunctionName("SpeechToText")]
        public static async Task<string> SpeechToText([ActivityTrigger] byte[] audioData, ILogger log)
        {
            using var recognizer = new SpeechRecognizer(_speechConfig, AudioConfig.FromStreamInput(AudioDataStream.FromResult(audioData)));
            var result = await recognizer.RecognizeOnceAsync();
            log.LogInformation($"[STT] Recognized: {result.Text}");
            return result.Text;
        }

        [FunctionName("TextToSpeech")]
        public static async Task<byte[]> TextToSpeech([ActivityTrigger] string text, ILogger log)
        {
            using var synthesizer = new SpeechSynthesizer(_speechConfig, null);
            var result = await synthesizer.SpeakTextAsync(text);
            log.LogInformation($"[TTS] Synthesized Speech for: {text}");
            return result.AudioData;
        }

        // ====== WebSocket Handler ======
        private static Dictionary<string, WebSocket> _activeSockets = new();

        [FunctionName("WebSocketHandler")]
        public static async Task WebSocketFunction([HttpTrigger(AuthorizationLevel.Function, "get")] HttpRequest req, ILogger log)
        {
            if (!req.HttpContext.WebSockets.IsWebSocketRequest) return;
            var socket = await req.HttpContext.WebSockets.AcceptWebSocketAsync();
            string connectionId = Guid.NewGuid().ToString();
            _activeSockets[connectionId] = socket;
            log.LogInformation($"WebSocket connection established: {connectionId}");
            await HandleWebSocketConnection(socket, connectionId, log);
        }

        private static async Task HandleWebSocketConnection(WebSocket socket, string connectionId, ILogger log)
        {
            var buffer = new byte[1024 * 4];
            while (socket.State == WebSocketState.Open)
            {
                var result = await socket.ReceiveAsync(new ArraySegment<byte>(buffer), CancellationToken.None);
                if (result.MessageType == WebSocketMessageType.Close) return;
                string receivedMessage = Encoding.UTF8.GetString(buffer, 0, result.Count);
                string aiResponse = await Task.FromResult($"AI Response: {receivedMessage} (processed in real-time)");
                var responseBuffer = Encoding.UTF8.GetBytes(aiResponse);
                await socket.SendAsync(new ArraySegment<byte>(responseBuffer, 0, responseBuffer.Length), WebSocketMessageType.Text, true, CancellationToken.None);
            }
        }
    }
}
using System;
using System.Collections.Generic;
using System.Text.Json;
using System.Threading.Tasks;
using StackExchange.Redis;
using Nethereum.Web3;
using Nethereum.Web3.Accounts;
using Neo4j.Driver;
using Microsoft.Azure.WebJobs;
using Microsoft.Extensions.Logging;

public static class SelfLearningAI
{
    private static readonly string RedisHost = Environment.GetEnvironmentVariable("REDIS_HOST");
    private static readonly int RedisPort = int.Parse(Environment.GetEnvironmentVariable("REDIS_PORT"));
    private static readonly ConnectionMultiplexer Redis = ConnectionMultiplexer.Connect($"{RedisHost}:{RedisPort}");
    private static readonly string Neo4jUri = Environment.GetEnvironmentVariable("NEO4J_URI");
    private static readonly string Neo4jUser = Environment.GetEnvironmentVariable("NEO4J_USER");
    private static readonly string Neo4jPassword = Environment.GetEnvironmentVariable("NEO4J_PASSWORD");
    private static IDriver _neo4jDriver = GraphDatabase.Driver(Neo4jUri, AuthTokens.Basic(Neo4jUser, Neo4jPassword));
    private static readonly Web3 Web3 = new(new Account(Environment.GetEnvironmentVariable("ETH_PRIVATE_KEY")), Environment.GetEnvironmentVariable("ETH_NODE_URL"));
    private static string ContractAddress = "YOUR_DEPLOYED_CONTRACT_ADDRESS";

    [FunctionName("StoreMemory")]
    public static async Task StoreMemory([ActivityTrigger] (string input, string response) data, ILogger log)
    {
        var db = Redis.GetDatabase();
        await db.StringSetAsync($"memory:{data.input}", data.response);
        await using var session = _neo4jDriver.AsyncSession();
        await session.WriteTransactionAsync(async tx =>
        {
            await tx.RunAsync("MERGE (m:Memory {input: $input}) SET m.response = $response",
                new { input = data.input, response = data.response });
        });

        var contract = Web3.Eth.GetContractHandler(ContractAddress);
        await contract.SendTransactionAsync("storeMemory", data.input, data.response);

        log.LogInformation($"[AI Memory] Stored: {data.input} → {data.response}");
    }

    [FunctionName("RetrieveMemory")]
    public static async Task<string> RetrieveMemory([ActivityTrigger] string input, ILogger log)
    {
        var db = Redis.GetDatabase();
        string cachedResponse = await db.StringGetAsync($"memory:{input}");
        if (!string.IsNullOrEmpty(cachedResponse))
        {
            log.LogInformation($"[AI Memory] Retrieved from cache: {cachedResponse}");
            return cachedResponse;
        }

        await using var session = _neo4jDriver.AsyncSession();
        var result = await session.ReadTransactionAsync(async tx =>
        {
            var reader = await tx.RunAsync("MATCH (m:Memory) WHERE m.input CONTAINS $input RETURN m.response LIMIT 1",
                new { input });
            var record = await reader.SingleAsync();
            return record["m.response"].As<string>();
        });

        log.LogInformation($"[AI Memory] Retrieved from Neo4j: {result}");
        return result;
    }

using System;
using System.Collections.Generic;
using System.Text.Json;
using System.Threading.Tasks;
using OpenAI_API;
using Microsoft.Azure.WebJobs;
using Microsoft.Extensions.Logging;

public static class SelfLearningAIModel
{
    [FunctionName("FineTuneAI")]
    public static async Task<string> FineTuneAI([TimerTrigger("0 0 * * *")] TimerInfo myTimer, ILogger log)
    {
        string apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY");
        var client = new OpenAIAPI(apiKey);

        List<(string, string)> trainingData = await GetTrainingData();
        string jsonlData = JsonSerializer.Serialize(trainingData);
        
        await System.IO.File.WriteAllTextAsync("/tmp/fine_tune.jsonl", jsonlData);
        var result = await client.FineTunes.CreateFineTuneAsync("/tmp/fine_tune.jsonl");

        log.LogInformation($"[AI Fine-Tuning] Updated Model: {result.Id}");
        return result.Id;
    }

    private static async Task<List<(string, string)>> GetTrainingData()
    {
        List<(string, string)> data = new();
        data.Add(("Hello", "Hi! How can I assist you?"));
        data.Add(("Tell me a joke", "Why don’t skeletons fight each other? They don’t have the guts!"));
        return await Task.FromResult(data);
    }

using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using Azure.AI.TextAnalytics;
using Microsoft.Azure.WebJobs;
using Microsoft.Extensions.Logging;

public static class AIReasoning
{
    private static readonly string _textAnalyticsKey = Environment.GetEnvironmentVariable("TEXT_ANALYTICS_KEY");
    private static readonly string _textAnalyticsEndpoint = Environment.GetEnvironmentVariable("TEXT_ANALYTICS_ENDPOINT");
    private static readonly TextAnalyticsClient _client = new(
        new Uri(_textAnalyticsEndpoint), 
        new AzureKeyCredential(_textAnalyticsKey)
    );

    [FunctionName("SelfImproveResponse")]
    public static async Task<string> SelfImproveResponse([ActivityTrigger] (string input, string response) data, ILogger log)
    {
        DocumentSentiment sentiment = await _client.AnalyzeSentimentAsync(data.response);
        if (sentiment.Sentiment == TextSentiment.Negative)
        {
            string betterResponse = await GenerateBetterResponse(data.input);
            log.LogInformation($"[AI Improvement] Updated response for '{data.input}': {betterResponse}");
            return betterResponse;
        }
        return data.response;
    }

    private static async Task<string> GenerateBetterResponse(string input)
    {
        return await Task.FromResult($"I’m sorry if my response was incorrect. Here’s a better answer: {input}");
    }
}