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AIStreamingClientNew.cs
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1771 lines (1415 loc) · 71.1 KB
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//using System;
//using System.Diagnostics;
//using System.Net.Http;
//using System.Text;
//using System.Text.Json;
//using System.Text.Json.Nodes;
//using System.Text.Json.Serialization;
//using System.Threading;
//using System.Threading.Tasks;
//namespace LMStudio.LMStudioExample2
//{
// public class LMStudioExample2 : IDisposable
// {
// // HttpClient for making API requests - reused across all requests for efficiency
// private readonly HttpClient _httpClient = new HttpClient();
// // Flag to track whether resources have been disposed
// private bool _disposed = false;
// // --- Event declarations for notifying subscribers about request status ---
// // Event triggered when a piece of content is received in streaming mode
// public event EventHandler<string>? OnContentReceived;
// // Event triggered when the entire response is complete
// public event EventHandler<string>? OnComplete;
// // Event triggered when an error occurs
// public event EventHandler<Exception>? OnError;
// // Event triggered when the status of the request changes
// public event EventHandler<string>? OnStatusUpdate;
// // Event triggered when tool calls are received from the model
// public event EventHandler<List<ToolCall>>? OnToolCallsReceived;
// private List<MessageLocal> messages = new();
// // Property to access the last tool calls received (if any)
// public List<ToolLMStudio>? tools { get; set; }
// public object model { get; private set; }
// public string? endpoint { get; private set; }
// private CancellationTokenSource _cancellationTokenSource;
// private string systemPrompt;
// public LMStudioExample2(string endpoint, string model, string systemPrompt, List<ToolLMStudio>? _tools = null)
// {
// // gpt populate this
// this.endpoint = endpoint;
// this.model = model;
// this.systemPrompt = systemPrompt;
// this.tools = _tools;
// }
// public void RequestStop()
// {
// try
// {
// _cancellationTokenSource?.Cancel();
// //TriggerStreamingEvent(StreamingEventType.Cancelled, "Request was cancelled by user");
// }
// catch (Exception ex)
// {
// Debug.WriteLine($"Error during cancellation: {ex.Message}");
// }
// }
// public void initialize(long timeoutInSeconds = 100)
// {
// SetTimeout(timeoutInSeconds); // Set timeout here
// messages = new List<MessageLocal>()
// {
// MessageLocal.CreateSystemMessage(systemPrompt)
// };
// }
// public void SetTimeout(long timeSpanInSeconds)
// {
// var timeout = TimeSpan.FromSeconds(timeSpanInSeconds);
// _httpClient.Timeout = timeout;
// }
// // Method to send a text-only message (maintains backward compatibility)
// public async Task<string> SendMessageAsync(string userMessage, List<ToolLMStudio>? tools = null)
// {
// _cancellationTokenSource?.Dispose();
// // Create a new token source for this request
// _cancellationTokenSource = new CancellationTokenSource();
// var cancellationToken = _cancellationTokenSource.Token;
// return await SendMessageWithImagesAsync(userMessage, null, cancellationToken, tools);
// }
// public async Task<string> SendMessageWithImageAsync(string userMessage, string imagePath, CancellationToken cancellationToken = default, List<ToolLMStudio>? tools = null)
// {
// return await SendMessageWithImagesAsync(userMessage, new string[] { imagePath }, cancellationToken, tools);
// }
// // Method to send a message with optional images and tools
// public async Task<string> SendMessageWithImagesAsync(string userMessage, string[]? imagePaths, CancellationToken cancellationToken = default, List<ToolLMStudio>? tools = null)
// {
// // Validate input to avoid sending empty messages
// if (string.IsNullOrEmpty(userMessage))
// throw new ArgumentException("User message cannot be empty", nameof(userMessage));
// // Create user message with text
// var msg = MessageLocal.CreateUserTextMessage(userMessage);
// // Add images if provided
// if (imagePaths != null && imagePaths.Length > 0)
// {
// foreach (var imagePath in imagePaths)
// {
// if (!File.Exists(imagePath))
// {
// throw new FileNotFoundException($"Image file not found: {imagePath}");
// }
// try
// {
// // Read image file and convert to base64
// var imageBytes = await File.ReadAllBytesAsync(imagePath);
// var base64String = Convert.ToBase64String(imageBytes);
// // Determine MIME type based on file extension
// var mimeType = GetMimeType(imagePath);
// var dataUrl = $"data:{mimeType};base64,{base64String}";
// msg.Content.Add(new ImageContent
// {
// Type = MessageContentType.ImageUrl,
// ImageUrl = new ImageUrlData { Url = dataUrl }
// });
// }
// catch (Exception ex)
// {
// throw new Exception($"Failed to process image {imagePath}: {ex.Message}", ex);
// }
// }
// }
// this.messages.Add(msg);
// // Clear previous tool calls
// // LastToolCalls = null;
// try
// {
// // Notify subscribers that we're starting a streaming request
// RaiseStatusUpdate("Sending streaming request...");
// // Build the request content in the format the API expects
// object requestContent;
// if (tools != null && tools.Count > 0)
// {
// requestContent = new
// {
// model = model, // Model name (e.g., "gemma-3-4b-it")
// messages = this.messages,
// temperature = 0.7, // Controls randomness (0-1)
// max_tokens = -1, // Maximum length of response (-1 means no limit)
// stream = true, // Enable streaming mode
// tools = tools // Tool definitions
// };
// }
// else
// {
// requestContent = new
// {
// model = model, // Model name (e.g., "gemma-3-4b-it")
// messages = this.messages,
// temperature = 0.7, // Controls randomness (0-1)
// max_tokens = -1, // Maximum length of response (-1 means no limit)
// stream = true // Enable streaming mode
// };
// }
// // Convert the request object to JSON
// var jsonOptions = new JsonSerializerOptions
// {
// DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull,
// Converters = { new MessageContentConverter() }
// };
// var jsonContent = new StringContent(
// JsonSerializer.Serialize(requestContent, jsonOptions), // Convert to JSON string
// Encoding.UTF8, // Use UTF-8 encoding
// "application/json"); // Set content type to JSON
// // Create an HTTP request message
// var request = new HttpRequestMessage(HttpMethod.Post, endpoint);
// request.Content = jsonContent;
// // Send the request with streaming option enabled
// // HttpCompletionOption.ResponseHeadersRead starts processing as soon as headers arrive
// var response = await _httpClient.SendAsync(
// request,
// HttpCompletionOption.ResponseHeadersRead, // Enable streaming
// cancellationToken); // Allow cancellation
// // Check for HTTP error codes
// response.EnsureSuccessStatusCode();
// RaiseStatusUpdate("Processing streaming response...");
// // Process the streaming response
// using (var stream = await response.Content.ReadAsStreamAsync())
// using (var reader = new StreamReader(stream))
// {
// string fullResponse = ""; // Accumulate the full response
// var toolCallsAccumulator = new Dictionary<int, ToolCall>(); // Accumulate tool calls by index
// // Continue reading until the stream ends or cancellation is requested
// while (!reader.EndOfStream && !cancellationToken.IsCancellationRequested)
// {
// // Read one line at a time
// var line = await reader.ReadLineAsync();
// if (string.IsNullOrEmpty(line))
// continue; // Skip empty lines
// // Server-Sent Events (SSE) format uses "data: " prefix
// if (line.StartsWith("data: "))
// {
// Debug.WriteLine(line);
// // Extract the JSON data from the line
// var jsonData = line.Substring(6).Trim(); // Remove "data: " prefix
// if (jsonData == "[DONE]")
// break; // Special marker indicating end of stream
// try
// {
// // Parse the JSON chunk into our StreamingResponse class
// var chunk = JsonSerializer.Deserialize<StreamingResponse>(jsonData);
// if (chunk?.choices != null && chunk.choices.Length > 0)
// {
// var choice = chunk.choices[0];
// // Check if there's content in this chunk
// if (choice.delta != null && !string.IsNullOrEmpty(choice.delta.content))
// {
// var content = choice.delta.content;
// fullResponse += content; // Add to accumulated response
// RaiseContentReceived(content); // Notify subscribers
// }
// // Check if there are tool calls in this chunk
// if (choice.delta?.tool_calls != null)
// {
// foreach (var toolCallDelta in choice.delta.tool_calls)
// {
// if (!toolCallsAccumulator.ContainsKey(toolCallDelta.Index))
// {
// toolCallsAccumulator[toolCallDelta.Index] = new ToolCall
// {
// Id = toolCallDelta.Id ?? "",
// Type = toolCallDelta.Type ?? "function",
// Function = new ToolCallFunction
// {
// Name = toolCallDelta.Function?.Name ?? "",
// Arguments = toolCallDelta.Function?.Arguments ?? ""
// }
// };
// }
// else
// {
// // Accumulate the streaming pieces
// var existingToolCall = toolCallsAccumulator[toolCallDelta.Index];
// if (!string.IsNullOrEmpty(toolCallDelta.Id))
// existingToolCall.Id += toolCallDelta.Id;
// if (!string.IsNullOrEmpty(toolCallDelta.Type))
// existingToolCall.Type = toolCallDelta.Type;
// if (toolCallDelta.Function != null)
// {
// if (existingToolCall.Function == null)
// existingToolCall.Function = new ToolCallFunction();
// if (!string.IsNullOrEmpty(toolCallDelta.Function.Name))
// existingToolCall.Function.Name += toolCallDelta.Function.Name;
// if (!string.IsNullOrEmpty(toolCallDelta.Function.Arguments))
// existingToolCall.Function.Arguments += toolCallDelta.Function.Arguments;
// }
// }
// }
// }
// }
// }
// catch (JsonException ex)
// {
// // Log JSON parsing errors but continue processing
// Debug.WriteLine($"JSON parsing error: {ex.Message}");
// Debug.WriteLine($"Problematic JSON: {jsonData}");
// }
// }
// }
// // Create assistant message with tool calls if any were accumulated
// MessageLocal msgAssistant;
// if (toolCallsAccumulator.Count > 0)
// {
// var toolCallsList = toolCallsAccumulator.OrderBy(kvp => kvp.Key).Select(kvp => kvp.Value).ToList();
// // Fix any incorrectly nested tool arguments
// foreach (var toolCall in toolCallsList)
// {
// FixToolCallArguments(toolCall);
// }
// msgAssistant = MessageLocal.CreateAssistantMessageWithToolCalls(toolCallsList,
// string.IsNullOrEmpty(fullResponse) ? null : fullResponse);
// // Store the tool calls and notify subscribers
// // LastToolCalls = toolCallsList;
// RaiseToolCallsReceived(toolCallsList);
// }
// else
// {
// msgAssistant = MessageLocal.CreateAssistantMessage(fullResponse);
// }
// this.messages.Add(msgAssistant);
// // If not cancelled, notify that the response is complete
// if (!cancellationToken.IsCancellationRequested)
// {
// RaiseComplete(fullResponse);
// return fullResponse;
// }
// else
// {
// throw new OperationCanceledException("The operation was canceled.");
// }
// }
// }
// catch (OperationCanceledException ex)
// {
// // If cancelled, notify that the response was cancelled
// if (cancellationToken.IsCancellationRequested)
// {
// RaiseComplete($"\nComplete: The operation was canceled.");
// }
// }
// catch (Exception ex)
// {
// // Handle any exceptions that occur during the process
// RaiseError(ex);
// }
// finally
// {
// }
// return ""; // Return empty string if no response was received
// }
// public async Task<string> SendMessageWithImagesAsyncX(string userMessage, string image, CancellationToken cancellationToken = default)
// {
// // Validate input to avoid sending empty messages
// if (string.IsNullOrEmpty(userMessage))
// throw new ArgumentException("User message cannot be empty", nameof(userMessage));
// // Create user message with text
// var msg = MessageLocal.CreateUserTextMessage(userMessage);
// // Add images if provided
// try
// {
// // Determine MIME type based on file extension
// var mimeType = "image/png"; // GetMimeType(imagePath);
// var dataUrl = $"data:{mimeType};base64,{image}";
// msg.Content.Add(new ImageContent
// {
// Type = MessageContentType.ImageUrl,
// ImageUrl = new ImageUrlData { Url = dataUrl }
// });
// }
// catch (Exception ex)
// {
// // throw new Exception($"Failed to process image {imagePath}: {ex.MessageAnthropic}", ex);
// }
// this.messages.Add(msg);
// try
// {
// // Notify subscribers that we're starting a streaming request
// RaiseStatusUpdate("Sending streaming request...");
// // Build the request content in the format the API expects
// var requestContent = new
// {
// model = model, // Model name (e.g., "gemma-3-4b-it")
// messages = this.messages,
// temperature = 0.7, // Controls randomness (0-1)
// max_tokens = -1, // Maximum length of response (-1 means no limit)
// stream = true // Enable streaming mode
// };
// // Convert the request object to JSON
// var jsonOptions = new JsonSerializerOptions
// {
// DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull,
// Converters = { new MessageContentConverter() }
// };
// var jsonContent = new StringContent(
// JsonSerializer.Serialize(requestContent, jsonOptions), // Convert to JSON string
// Encoding.UTF8, // Use UTF-8 encoding
// "application/json"); // Set content type to JSON
// // Create an HTTP request message
// var request = new HttpRequestMessage(HttpMethod.Post, endpoint);
// request.Content = jsonContent;
// // Send the request with streaming option enabled
// // HttpCompletionOption.ResponseHeadersRead starts processing as soon as headers arrive
// var response = await _httpClient.SendAsync(
// request,
// HttpCompletionOption.ResponseHeadersRead, // Enable streaming
// cancellationToken); // Allow cancellation
// // Check for HTTP error codes
// response.EnsureSuccessStatusCode();
// RaiseStatusUpdate("Processing streaming response...");
// // Process the streaming response
// using (var stream = await response.Content.ReadAsStreamAsync())
// using (var reader = new StreamReader(stream))
// {
// string fullResponse = ""; // Accumulate the full response
// // Continue reading until the stream ends or cancellation is requested
// while (!reader.EndOfStream && !cancellationToken.IsCancellationRequested)
// {
// // Read one line at a time
// var line = await reader.ReadLineAsync();
// if (string.IsNullOrEmpty(line))
// continue; // Skip empty lines
// // Server-Sent Events (SSE) format uses "data: " prefix
// if (line.StartsWith("data: "))
// {
// // Extract the JSON data from the line
// var jsonData = line.Substring(6).Trim(); // Remove "data: " prefix
// if (jsonData == "[DONE]")
// break; // Special marker indicating end of stream
// try
// {
// // Parse the JSON chunk into our StreamingResponse class
// var chunk = JsonSerializer.Deserialize<StreamingResponse>(jsonData);
// if (chunk?.choices != null && chunk.choices.Length > 0)
// {
// var choice = chunk.choices[0];
// // Check if there's content in this chunk
// if (choice.delta != null && !string.IsNullOrEmpty(choice.delta.content))
// {
// var content = choice.delta.content;
// fullResponse += content; // Add to accumulated response
// RaiseContentReceived(content); // Notify subscribers
// }
// }
// }
// catch (JsonException ex)
// {
// // Log JSON parsing errors but continue processing
// Debug.WriteLine($"JSON parsing error: {ex.Message}");
// Debug.WriteLine($"Problematic JSON: {jsonData}");
// }
// }
// }
// var msgAssistant = MessageLocal.CreateAssistantMessage(fullResponse);
// this.messages.Add(msgAssistant);
// // If not cancelled, notify that the response is complete
// if (!cancellationToken.IsCancellationRequested)
// {
// RaiseComplete(fullResponse);
// return fullResponse;
// }
// else
// {
// throw new OperationCanceledException("The operation was canceled.");
// }
// }
// }
// catch (OperationCanceledException ex)
// {
// // Handle CanceledException
// RaiseError(ex);
// }
// catch (Exception ex)
// {
// // Handle any exceptions that occur during the process
// RaiseError(ex);
// }
// finally
// {
// // If cancelled, notify that the response was cancelled
// if (cancellationToken.IsCancellationRequested)
// {
// RaiseComplete($"Complete: The operation was canceled.");
// }
// }
// return ""; // Return empty string if no response was received
// }
// // Method for non-streaming API requests with image support
// public async Task<string> SendMessageNonStreamingAsync(string userMessage, CancellationToken cancellationToken = default, List<ToolLMStudio>? tools = null)
// {
// return await SendMessageWithImagesNonStreamingAsync(userMessage, null, cancellationToken, tools);
// }
// public void ClearMessages(string? _systemPrompt = null)
// {
// if (!string.IsNullOrEmpty(_systemPrompt))
// {
// systemPrompt = _systemPrompt;
// }
// messages.Clear();
// messages.Add(MessageLocal.CreateSystemMessage(systemPrompt));
// }
// /// <summary>
// /// Adds a tool result to the message history. Call this after executing a tool that was requested by the model.
// /// </summary>
// /// <param name="toolCallId">The ID of the tool call (from ToolCall.Id)</param>
// /// <param name="result">The result of executing the tool (as a string, typically JSON)</param>
// public void AddToolResult(string toolCallId, string result)
// {
// var toolMessage = MessageLocal.CreateToolMessage(toolCallId, result);
// messages.Add(toolMessage);
// }
// public async Task<string> SendMessageWithImagesNonStreamingAsync(string userMessage, string[]? imagePaths = null, CancellationToken cancellationToken = default, List<ToolLMStudio>? tools = null)
// {
// // Validate input
// if (string.IsNullOrEmpty(userMessage))
// throw new ArgumentException("User message cannot be empty", nameof(userMessage));
// try
// {
// // Notify subscribers about starting a non-streaming request
// RaiseStatusUpdate("Sending non-streaming request...");
// // Create user message with text
// var msg = MessageLocal.CreateUserTextMessage(userMessage);
// // Add images if provided
// if (imagePaths != null && imagePaths.Length > 0)
// {
// foreach (var imagePath in imagePaths)
// {
// if (!File.Exists(imagePath))
// {
// throw new FileNotFoundException($"Image file not found: {imagePath}");
// }
// try
// {
// // Read image file and convert to base64
// var imageBytes = await File.ReadAllBytesAsync(imagePath);
// var base64String = Convert.ToBase64String(imageBytes);
// // Determine MIME type based on file extension
// var mimeType = GetMimeType(imagePath);
// var dataUrl = $"data:{mimeType};base64,{base64String}";
// msg.Content.Add(new ImageContent
// {
// Type = MessageContentType.ImageUrl,
// ImageUrl = new ImageUrlData { Url = dataUrl }
// });
// }
// catch (Exception ex)
// {
// throw new Exception($"Failed to process image {imagePath}: {ex.Message}", ex);
// }
// }
// }
// this.messages.Add(msg);
// // Clear previous tool calls
// // LastToolCalls = null;
// // Build the request content (similar to streaming, but with stream=false)
// object requestContent;
// if (tools != null && tools.Count > 0)
// {
// requestContent = new
// {
// model = model,
// messages = this.messages,
// temperature = 0.7,
// max_tokens = -1,
// stream = false, // Disable streaming
// tools = tools // Tool definitions
// };
// }
// else
// {
// requestContent = new
// {
// model = model,
// messages = this.messages,
// temperature = 0.7,
// max_tokens = -1,
// stream = false // Disable streaming
// };
// }
// // Convert to JSON and prepare the content
// var jsonOptions = new JsonSerializerOptions
// {
// DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull,
// Converters = { new MessageContentConverter() }
// };
// var jsonContent = new StringContent(
// JsonSerializer.Serialize(requestContent, jsonOptions),
// Encoding.UTF8,
// "application/json");
// Debug.WriteLine($"\n{requestContent.ToString()}\n");
// // Send the request and wait for the full response
// var response = await _httpClient.PostAsync(endpoint, jsonContent, cancellationToken);
// response.EnsureSuccessStatusCode();
// RaiseStatusUpdate("Processing non-streaming response...");
// // Read the complete response JSON
// var jsonResponse = await response.Content.ReadAsStringAsync();
// // Deserialize with custom options
// jsonOptions = new JsonSerializerOptions
// {
// DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull,
// Converters = { new MessageContentConverter() }
// };
// Debug.WriteLine($"\n{jsonResponse}\n");
// var aiResponse = JsonSerializer.Deserialize<AIMessage>(jsonResponse, jsonOptions);
// // Extract the message content
// if (aiResponse?.choices != null && aiResponse.choices.Length > 0)
// {
// var responseMessage = aiResponse.choices[0].message;
// var responseContent = responseMessage?.GetTextContent() ?? "";
// // Check if there are tool calls
// if (responseMessage?.ToolCalls != null && responseMessage.ToolCalls.Count > 0)
// {
// Debug.WriteLine($"Non-streaming response with tool calls: {responseMessage.ToolCalls.Count} tool(s)");
// // Fix any incorrectly nested tool arguments
// foreach (var toolCall in responseMessage.ToolCalls)
// {
// FixToolCallArguments(toolCall);
// }
// var msgAssistant = MessageLocal.CreateAssistantMessageWithToolCalls(
// responseMessage.ToolCalls,
// string.IsNullOrEmpty(responseContent) ? null : responseContent);
// this.messages.Add(msgAssistant);
// // Store the tool calls and notify subscribers
// // LastToolCalls = responseMessage.ToolCalls;
// RaiseToolCallsReceived(responseMessage.ToolCalls);
// }
// else
// {
// Debug.WriteLine($"Non-streaming response received: {responseContent.Length} characters");
// var msgAssistant = MessageLocal.CreateAssistantMessage(responseContent);
// this.messages.Add(msgAssistant);
// }
// RaiseComplete(responseContent); // Notify subscribers
// return responseContent; // Return the full response
// }
// else
// {
// // Handle invalid response format
// throw new Exception("Invalid response format");
// }
// }
// catch (Exception ex)
// {
// // Handle any exceptions
// RaiseError(ex);
// throw; // Re-throw to allow caller to handle the error
// }
// }
// /// <summary>
// /// Requests text embeddings from the LM Studio API
// /// </summary>
// /// <param name="text">The text to generate embeddings for</param>
// /// <param name="embeddingModel">The embedding model to use (e.g., "text-embedding-nomic-embed-text-v1.5")</param>
// /// <param name="cancellationToken">Cancellation token for async operation</param>
// /// <returns>Array of embedding vectors (float arrays)</returns>
// public async Task<float[]?> GetEmbeddingAsync(
// string text,
// string embeddingModel = "text-embedding-nomic-embed-text-v1.5",
// CancellationToken cancellationToken = default)
// {
// // Validate input
// if (string.IsNullOrEmpty(text))
// throw new ArgumentException("Text cannot be empty", nameof(text));
// if (string.IsNullOrEmpty(embeddingModel))
// throw new ArgumentException("Embedding model cannot be empty", nameof(embeddingModel));
// try
// {
// RaiseStatusUpdate("Requesting embeddings...");
// // Build the embedding request
// var requestContent = new EmbeddingRequest
// {
// Model = embeddingModel,
// Input = text
// };
// // Serialize to JSON
// var jsonContent = new StringContent(
// JsonSerializer.Serialize(requestContent),
// Encoding.UTF8,
// "application/json");
// // Construct the embedding endpoint URL
// // Replace the chat completions endpoint with the embeddings endpoint
// var embeddingEndpoint = endpoint.Replace("/v1/chat/completions", "/api/v0/embeddings");
// Debug.WriteLine($"Sending embedding request to: {embeddingEndpoint}");
// // Send the request
// var response = await _httpClient.PostAsync(
// embeddingEndpoint,
// jsonContent,
// cancellationToken);
// response.EnsureSuccessStatusCode();
// RaiseStatusUpdate("Processing embedding response...");
// // Read and parse the response
// var jsonResponse = await response.Content.ReadAsStringAsync();
// var embeddingResponse = JsonSerializer.Deserialize<EmbeddingResponse>(jsonResponse);
// // Extract the embedding vector
// if (embeddingResponse?.Data != null && embeddingResponse.Data.Length > 0)
// {
// var embedding = embeddingResponse.Data[0].Embedding;
// Debug.WriteLine($"Embedding received: {embedding?.Length ?? 0} dimensions");
// RaiseStatusUpdate("Embedding completed");
// return embedding;
// }
// else
// {
// throw new Exception("Invalid embedding response format");
// }
// }
// catch (Exception ex)
// {
// RaiseError(ex);
// throw;
// }
// }
// /// <summary>
// /// Requests embeddings for multiple texts in a single batch request
// /// </summary>
// /// <param name="texts">Array of texts to generate embeddings for</param>
// /// <param name="embeddingModel">The embedding model to use</param>
// /// <param name="cancellationToken">Cancellation token for async operation</param>
// /// <returns>Array of embedding vectors, one for each input text</returns>
// public async Task<float[][]?> GetEmbeddingsBatchAsync(
// string[] texts,
// string embeddingModel = "text-embedding-nomic-embed-text-v1.5",
// CancellationToken cancellationToken = default)
// {
// if (texts == null || texts.Length == 0)
// throw new ArgumentException("Texts array cannot be null or empty", nameof(texts));
// try
// {
// RaiseStatusUpdate($"Requesting embeddings for {texts.Length} texts...");
// var embeddings = new List<float[]>();
// // Process each text individually
// // Note: Some APIs support batch input as an array, but we'll process sequentially for compatibility
// foreach (var text in texts)
// {
// var embedding = await GetEmbeddingAsync(text, embeddingModel, cancellationToken);
// if (embedding != null)
// {
// embeddings.Add(embedding);
// }
// }
// Debug.WriteLine($"Batch embeddings completed: {embeddings.Count} embeddings generated");
// RaiseStatusUpdate("Batch embedding completed");
// return embeddings.ToArray();
// }
// catch (Exception ex)
// {
// RaiseError(ex);
// throw;
// }
// }
// /// <summary>
// /// Gets a list of all available models (both loaded and downloaded)
// /// </summary>
// /// <param name="cancellationToken">Cancellation token for async operation</param>
// /// <returns>Array of ModelInfo objects</returns>
// public async Task<ModelInfo[]?> GetAllModelsAsync(CancellationToken cancellationToken = default)
// {
// try
// {
// RaiseStatusUpdate("Fetching models list...");
// // Construct the models endpoint URL
// var modelsEndpoint = endpoint.Replace("/v1/chat/completions", "/api/v0/models");
// Debug.WriteLine($"Fetching models from: {modelsEndpoint}");
// // Send GET request to the models endpoint
// var response = await _httpClient.GetAsync(modelsEndpoint, cancellationToken);
// response.EnsureSuccessStatusCode();
// RaiseStatusUpdate("Processing models list...");
// // Read and parse the response
// var jsonResponse = await response.Content.ReadAsStringAsync();
// var modelsResponse = JsonSerializer.Deserialize<ModelsListResponse>(jsonResponse);
// if (modelsResponse?.Data != null)
// {
// Debug.WriteLine($"Found {modelsResponse.Data.Length} models");
// RaiseStatusUpdate($"Found {modelsResponse.Data.Length} models");
// return modelsResponse.Data;
// }
// else
// {
// throw new Exception("Invalid models list response format");
// }
// }
// catch (Exception ex)
// {
// RaiseError(ex);
// throw;
// }
// }
// /// <summary>
// /// Gets detailed information about a specific model by its ID
// /// </summary>
// /// <param name="modelId">The model ID (e.g., "qwen2-vl-7b-instruct")</param>
// /// <param name="cancellationToken">Cancellation token for async operation</param>
// /// <returns>ModelInfo object with detailed information</returns>
// public async Task<ModelInfo?> GetModelInfoAsync(string modelId, CancellationToken cancellationToken = default)
// {
// // Validate input
// if (string.IsNullOrEmpty(modelId))
// throw new ArgumentException("Model ID cannot be empty", nameof(modelId));
// try
// {
// RaiseStatusUpdate($"Fetching info for model: {modelId}...");
// // Construct the specific model endpoint URL
// var modelEndpoint = endpoint.Replace("/v1/chat/completions", $"/api/v0/models/{modelId}");
// Debug.WriteLine($"Fetching model info from: {modelEndpoint}");
// // Send GET request to the specific model endpoint
// var response = await _httpClient.GetAsync(modelEndpoint, cancellationToken);
// response.EnsureSuccessStatusCode();
// RaiseStatusUpdate("Processing model info...");
// // Read and parse the response
// var jsonResponse = await response.Content.ReadAsStringAsync();
// var modelInfo = JsonSerializer.Deserialize<ModelInfo>(jsonResponse);
// if (modelInfo != null)
// {
// Debug.WriteLine($"Model info retrieved: {modelInfo}");
// RaiseStatusUpdate($"Model info retrieved: {modelInfo.Id}");
// return modelInfo;
// }
// else
// {
// throw new Exception("Invalid model info response format");
// }
// }
// catch (HttpRequestException ex) when (ex.StatusCode == System.Net.HttpStatusCode.NotFound)
// {
// // Handle case where model doesn't exist
// var notFoundEx = new Exception($"Model '{modelId}' not found", ex);
// RaiseError(notFoundEx);
// throw notFoundEx;
// }
// catch (Exception ex)
// {
// RaiseError(ex);
// throw;
// }
// }
// /// <summary>
// /// Gets all loaded models (models currently in memory and ready to use)