cortexweaver/dist/agents/prototyper-simple.js

CortexWeaver is a command-line interface (CLI) tool that orchestrates a swarm of specialized AI agents, powered by Claude Code and Gemini CLI, to assist in software development. It transforms a high-level project plan (plan.md) into a series of coordinate

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.PrototyperAgent = void 0;
class PrototyperAgent {
    constructor(claudeClient, cognitiveCanvas, mcpClient) {
        this.claudeClient = claudeClient;
        this.cognitiveCanvas = cognitiveCanvas;
        this.mcpClient = mcpClient;
    }
    get role() {
        return 'Prototyper';
    }
    get capabilities() {
        return ['pseudocode-generation', 'logic-flow-design', 'mermaid-diagrams'];
    }
    async processContract(contractId) {
        try {
            // Get contract details from Cognitive Canvas
            const contractData = await this.cognitiveCanvas.getContract(contractId);
            if (!contractData) {
                return {
                    success: false,
                    error: 'Contract not found'
                };
            }
            // Get guide pheromones for patterns
            const pheromones = await this.cognitiveCanvas.getPheromonesByType('guide');
            // Generate pseudocode and collect token usage
            const pseudocodeResponse = await this.generatePseudocodeWithUsage(contractData, pheromones);
            const pseudocode = pseudocodeResponse.content;
            // Generate flow diagram and collect token usage
            const flowDiagramResponse = await this.generateFlowDiagramWithUsage(pseudocode);
            const flowDiagram = flowDiagramResponse.content;
            // Aggregate token usage
            const totalTokenUsage = {
                input_tokens: pseudocodeResponse.tokenUsage.inputTokens + flowDiagramResponse.tokenUsage.inputTokens,
                output_tokens: pseudocodeResponse.tokenUsage.outputTokens + flowDiagramResponse.tokenUsage.outputTokens,
                total_tokens: pseudocodeResponse.tokenUsage.totalTokens + flowDiagramResponse.tokenUsage.totalTokens
            };
            // Save to /prototypes directory
            const outputPath = `/prototypes/${contractData.name || contractId}_prototype.md`;
            const prototypeContent = `# ${contractData.name || contractId} Prototype\n\n## Pseudocode\n${pseudocode}\n\n## Flow Diagram\n${flowDiagram}`;
            if (this.mcpClient) {
                await this.mcpClient.writeFileToWorktree(outputPath, contractData.name || contractId, prototypeContent);
            }
            // Create prototype node in Cognitive Canvas
            const prototypeNodeId = await this.cognitiveCanvas.createPrototypeNode({
                contractId,
                pseudocode,
                flowDiagram,
                outputPath
            });
            // Link to contract
            await this.cognitiveCanvas.linkPrototypeToContract(prototypeNodeId, contractId);
            return {
                success: true,
                pseudocode,
                flowDiagram,
                outputPath,
                architectureReady: true,
                implementationNotes: `Prototype contains detailed pseudocode ready for implementation`,
                metadata: {
                    contractId,
                    complexity: 'medium',
                    dependencies: []
                },
                tokenUsage: totalTokenUsage
            };
        }
        catch (error) {
            return {
                success: false,
                error: `Failed to process contract: ${error instanceof Error ? error.message : 'Unknown error'}`
            };
        }
    }
    async generatePseudocode(contract, pheromones = []) {
        try {
            const prompt = this.buildPseudocodePrompt(contract, pheromones);
            const response = await this.claudeClient.sendMessage(prompt);
            return response.content;
        }
        catch (error) {
            throw new Error(`Failed to generate pseudocode: ${error instanceof Error ? error.message : 'Unknown error'}`);
        }
    }
    async generatePseudocodeWithUsage(contract, pheromones = []) {
        try {
            const prompt = this.buildPseudocodePrompt(contract, pheromones);
            return await this.claudeClient.sendMessage(prompt);
        }
        catch (error) {
            throw new Error(`Failed to generate pseudocode: ${error instanceof Error ? error.message : 'Unknown error'}`);
        }
    }
    async generateFlowDiagram(pseudocode) {
        try {
            const prompt = `Convert the following pseudocode into a Mermaid flowchart diagram:\n\n${pseudocode}`;
            const response = await this.claudeClient.sendMessage(prompt);
            return response.content;
        }
        catch (error) {
            throw new Error(`Failed to generate flow diagram: ${error instanceof Error ? error.message : 'Unknown error'}`);
        }
    }
    async generateFlowDiagramWithUsage(pseudocode) {
        try {
            const prompt = `Convert the following pseudocode into a Mermaid flowchart diagram:\n\n${pseudocode}`;
            return await this.claudeClient.sendMessage(prompt);
        }
        catch (error) {
            throw new Error(`Failed to generate flow diagram: ${error instanceof Error ? error.message : 'Unknown error'}`);
        }
    }
    buildPseudocodePrompt(contract, pheromones) {
        let prompt = `Generate detailed pseudocode for the following contract:\n\n`;
        prompt += `Contract: ${JSON.stringify(contract, null, 2)}\n\n`;
        if (pheromones.length > 0) {
            prompt += `Apply these successful patterns (guide pheromones):\n`;
            pheromones.forEach(p => {
                prompt += `- ${p.context} (strength: ${p.strength})\n`;
            });
            prompt += '\n';
        }
        prompt += `Please provide:\n`;
        prompt += `1. Detailed pseudocode for each endpoint\n`;
        prompt += `2. Error handling paths\n`;
        prompt += `3. Input validation logic\n`;
        prompt += `4. Return value specifications\n`;
        return prompt;
    }
}
exports.PrototyperAgent = PrototyperAgent;
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