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								import * as plugins from './plugins.js';
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								import * as paths from './paths.js';
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								import { MultiModalModel } from './abstract.classes.multimodal.js';
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								import type {
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								  ChatOptions,
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								  ChatResponse,
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								  ChatMessage,
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								  ResearchOptions,
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								  ResearchResponse,
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								  ImageGenerateOptions,
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								  ImageEditOptions,
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								  ImageResponse
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								} from './abstract.classes.multimodal.js';
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								import type { ChatCompletionMessageParam } from 'openai/resources/chat/completions';
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								export interface IExoProviderOptions {
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								  exoBaseUrl?: string;
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								  apiKey?: string;
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								}
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								export class ExoProvider extends MultiModalModel {
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								  private options: IExoProviderOptions;
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								  public openAiApiClient: plugins.openai.default;
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								  constructor(optionsArg: IExoProviderOptions = {}) {
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								    super();
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								    this.options = {
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								      exoBaseUrl: 'http://localhost:8080/v1',  // Default Exo API endpoint
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								      ...optionsArg
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								    };
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								  }
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								  public async start() {
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								    this.openAiApiClient = new plugins.openai.default({
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								      apiKey: this.options.apiKey || 'not-needed',  // Exo might not require an API key for local deployment
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								      baseURL: this.options.exoBaseUrl,
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								    });
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								  }
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								  public async stop() {}
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								  public async chatStream(input: ReadableStream<Uint8Array>): Promise<ReadableStream<string>> {
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								    // Create a TextDecoder to handle incoming chunks
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								    const decoder = new TextDecoder();
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								    let buffer = '';
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								    let currentMessage: { role: string; content: string; } | null = null;
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								    // Create a TransformStream to process the input
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								    const transform = new TransformStream<Uint8Array, string>({
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								      transform: async (chunk, controller) => {
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								        buffer += decoder.decode(chunk, { stream: true });
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								        // Try to parse complete JSON messages from the buffer
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								        while (true) {
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								          const newlineIndex = buffer.indexOf('\n');
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								          if (newlineIndex === -1) break;
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								          const line = buffer.slice(0, newlineIndex);
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								          buffer = buffer.slice(newlineIndex + 1);
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								          if (line.trim()) {
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								            try {
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								              const message = JSON.parse(line);
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								              currentMessage = message;
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								              // Process the message based on its type
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								              if (message.type === 'message') {
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								                const response = await this.chat({
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								                  systemMessage: '',
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								                  userMessage: message.content,
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								                  messageHistory: [{ role: message.role as 'user' | 'assistant' | 'system', content: message.content }]
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								                });
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								                controller.enqueue(JSON.stringify(response) + '\n');
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								              }
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								            } catch (error) {
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								              console.error('Error processing message:', error);
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								            }
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								          }
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								        }
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								      },
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								      flush(controller) {
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								        if (buffer) {
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								          try {
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								            const message = JSON.parse(buffer);
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								            currentMessage = message;
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								          } catch (error) {
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								            console.error('Error processing remaining buffer:', error);
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								          }
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								        }
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								      }
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								    });
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								    return input.pipeThrough(transform);
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								  }
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								  public async chat(options: ChatOptions): Promise<ChatResponse> {
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								    const messages: ChatCompletionMessageParam[] = [
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								      { role: 'system', content: options.systemMessage },
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								      ...options.messageHistory,
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								      { role: 'user', content: options.userMessage }
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								    ];
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								    try {
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								      const response = await this.openAiApiClient.chat.completions.create({
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								        model: 'local-model', // Exo uses local models
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								        messages: messages,
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								        stream: false
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								      });
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								      return {
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								        role: 'assistant',
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								        message: response.choices[0]?.message?.content || ''
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								      };
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								    } catch (error) {
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								      console.error('Error in chat completion:', error);
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								      throw error;
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								    }
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								  }
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								  public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> {
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								    throw new Error('Audio generation is not supported by Exo provider');
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								  }
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								  public async vision(optionsArg: { image: Buffer; prompt: string }): Promise<string> {
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								    throw new Error('Vision processing is not supported by Exo provider');
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								  }
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								  public async document(optionsArg: {
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								    systemMessage: string;
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								    userMessage: string;
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								    pdfDocuments: Uint8Array[];
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								    messageHistory: ChatMessage[];
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								  }): Promise<{ message: any }> {
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								    throw new Error('Document processing is not supported by Exo provider');
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								  }
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								  public async research(optionsArg: ResearchOptions): Promise<ResearchResponse> {
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								    throw new Error('Research capabilities are not yet supported by Exo provider.');
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								  }
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								  /**
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								   * Image generation is not supported by Exo
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								   */
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								  public async imageGenerate(optionsArg: ImageGenerateOptions): Promise<ImageResponse> {
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								    throw new Error('Image generation is not supported by Exo. Please use OpenAI provider for image generation.');
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								  }
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								  /**
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								   * Image editing is not supported by Exo
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								   */
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								  public async imageEdit(optionsArg: ImageEditOptions): Promise<ImageResponse> {
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								    throw new Error('Image editing is not supported by Exo. Please use OpenAI provider for image editing.');
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								  }
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								}
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