@clduab11/gemini-flow/src/adapters/jules-workflow-adapter.ts

Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.

/**
 * Jules Workflow Adapter Implementation
 * TDD approach - proper implementation for Jules workflow models
 */

import {
  BaseModelAdapter,
  ModelRequest,
  ModelResponse,
  StreamChunk,
  ModelCapabilities,
  AdapterConfig,
} from "./base-model-adapter.js";

export interface JulesWorkflowConfig extends AdapterConfig {
  workflowId?: string;
  parameters?: Record<string, any>;
}

export class JulesWorkflowAdapter extends BaseModelAdapter {
  private workflowConfig: JulesWorkflowConfig;

  constructor(config: JulesWorkflowConfig) {
    super(config);
    this.workflowConfig = config;
  }

  async initialize(): Promise<void> {
    // Initialize Jules workflow client
    this.isInitialized = true;
    this.logger.info("Jules workflow adapter initialized");
  }

  getModelCapabilities(): ModelCapabilities {
    return {
      textGeneration: true,
      codeGeneration: true,
      multimodal: false,
      streaming: true,
      functionCalling: true,
      longContext: true,
      reasoning: false,
      multiAgent: true,
      complexProblemSolving: true,
      chainOfThought: false,
      maxTokens: 128000,
      supportedLanguages: ["en", "es", "fr"],
      inputTypes: ["text"],
      outputTypes: ["text", "workflow_result"],
    };
  }

  async generate(request: ModelRequest): Promise<ModelResponse> {
    this.ensureInitialized();

    const startTime = performance.now();
    const context = this.ensureRequestId(request.context);

    try {
      await this.validateRequest(request);

      // Mock workflow execution response
      const mockResponse = {
        id: context.requestId!,
        content: `Jules workflow execution result for: ${request.prompt}`,
        model: this.config.modelName,
        timestamp: new Date(),
        latency: performance.now() - startTime,
        usage: {
          promptTokens: request.prompt.length / 4,
          completionTokens: 40,
          totalTokens: request.prompt.length / 4 + 40,
        },
        cost: this.calculateCost(
          { totalTokens: request.prompt.length / 4 + 40 },
          0.0000015,
        ),
        finishReason: "workflow_completed",
        metadata: {
          workflowId: this.workflowConfig.workflowId,
          executionSteps: ["validate", "process", "generate", "review"],
        },
      };

      this.logPerformance("generate", mockResponse.latency, true);
      return mockResponse;
    } catch (error) {
      const latency = performance.now() - startTime;
      this.logPerformance("generate", latency, false);
      throw this.handleError(error, request);
    }
  }

  async *generateStream(
    request: ModelRequest,
  ): AsyncIterableIterator<StreamChunk> {
    this.ensureInitialized();

    const context = this.ensureRequestId(request.context);

    // Mock workflow streaming response
    const workflowSteps = [
      "Initializing workflow...",
      "Processing input...",
      "Executing workflow steps...",
      `Completed workflow for: ${request.prompt}`,
    ];

    for (let i = 0; i < workflowSteps.length; i++) {
      yield {
        id: `${context.requestId}-${i}`,
        content: workflowSteps.slice(0, i + 1).join(" "),
        delta: workflowSteps[i],
        finishReason:
          i === workflowSteps.length - 1 ? "workflow_completed" : undefined,
        metadata: {
          step: i + 1,
          totalSteps: workflowSteps.length,
          workflowId: this.workflowConfig.workflowId,
        },
      };

      await new Promise((resolve) => setTimeout(resolve, 200));
    }
  }

  async validateRequest(request: ModelRequest): Promise<boolean> {
    if (!request.prompt || request.prompt.trim().length === 0) {
      throw this.createError("Workflow input is required", "INVALID_REQUEST");
    }

    if (request.prompt.length > 500000) {
      throw this.createError(
        "Workflow input exceeds maximum length",
        "INPUT_TOO_LONG",
      );
    }

    return true;
  }

  protected transformRequest(request: ModelRequest): any {
    return {
      workflowId: this.workflowConfig.workflowId,
      input: request.prompt,
      parameters: {
        ...this.workflowConfig.parameters,
        temperature: request.parameters?.temperature || 0.7,
        max_tokens: request.parameters?.maxTokens || 8192,
      },
      tools: request.tools || [],
      context: request.context,
    };
  }

  protected transformResponse(
    response: any,
    request: ModelRequest,
  ): ModelResponse {
    return {
      id: this.generateRequestId(),
      content: response.result || response.output || "",
      model: this.config.modelName,
      timestamp: new Date(),
      latency: 0,
      usage: {
        promptTokens: response.usage?.input_tokens || 0,
        completionTokens: response.usage?.output_tokens || 0,
        totalTokens: response.usage?.total_tokens || 0,
      },
      cost: 0,
      finishReason: response.status || "workflow_completed",
      metadata: {
        workflowId: response.workflowId,
        executionTime: response.executionTime,
        stepsCompleted: response.stepsCompleted,
      },
    };
  }

  protected handleError(error: any, request: ModelRequest): never {
    const adapterError = this.createError(
      error.message || "Jules workflow error",
      error.code || "WORKFLOW_ERROR",
      error.status || 500,
      error.code === "WORKFLOW_BUSY" || error.code === "RATE_LIMIT",
    );

    throw adapterError;
  }
}