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Create Copilot.cs (#120)
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@josefkedwards
josefkedwards authored Feb 6, 2025
2 parents cab5b6c + 5173ebe commit a4bbfe7
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296 changes: 296 additions & 0 deletions Copilot.cs
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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}");
}
}


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