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bswa006
by bswa006

create_token_optimizer

Generate tiered context files for token optimization, enabling ROI tracking and usage metrics to enhance AI agent coding efficiency and resource management.

Instructions

Create tiered context files for token optimization with ROI tracking

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
analysisIdNoAnalysis ID from analyze_codebase_deeply
generateMetricsNoGenerate ROI metrics report
projectPathYesPath to the project directory
tiersNoWhich context tiers to generate
trackUsageNoEnable token usage tracking

Implementation Reference

  • Core handler function that implements the token optimizer tool logic: generates tiered context files, router configuration, usage tracking, and ROI metrics report based on codebase analysis.
    export async function createTokenOptimizer( config: TokenOptimizerConfig ): Promise<TokenOptimizerResult> { const result: TokenOptimizerResult = { success: false, filesCreated: [], message: '', tokenSavings: { minimal: 0, standard: 0, comprehensive: 0, percentSaved: 0, }, }; try { // Check if analysis has been completed const analysisId = config.analysisId || global.latestAnalysisId; if (!analysisId || !global.codebaseAnalysis?.[analysisId]) { throw new Error('Codebase analysis must be completed first. Run analyze_codebase_deeply tool.'); } const analysis: DeepAnalysisResult = global.codebaseAnalysis[analysisId]; const tiers = config.tiers || ['minimal', 'standard', 'comprehensive']; // Create agent-context directory if it doesn't exist const contextDir = join(config.projectPath, 'agent-context'); if (!existsSync(contextDir)) { mkdirSync(contextDir, { recursive: true }); } // Generate tiered context files const contextTiers = generateTieredContexts(analysis, tiers); // Write each tier for (const tier of contextTiers) { const filePath = join(contextDir, `${tier.name}-context.md`); writeFileSync(filePath, tier.content); result.filesCreated.push(filePath); // Calculate token savings const baselineTokens = estimateTokens(getFullContext(analysis)); const tierTokens = estimateTokens(tier.content); result.tokenSavings[tier.name] = tierTokens; if (tier.name === 'minimal') { result.tokenSavings.percentSaved = Math.round((1 - tierTokens / baselineTokens) * 100); } } // Create context router configuration const routerConfig = createContextRouter(analysis, contextTiers); const routerPath = join(contextDir, 'context-router.yaml'); writeFileSync(routerPath, yaml.dump(routerConfig)); result.filesCreated.push(routerPath); // Create usage tracking configuration if requested if (config.trackUsage) { const trackingConfig = createUsageTracking(); const trackingPath = join(contextDir, 'token-tracking.yaml'); writeFileSync(trackingPath, yaml.dump(trackingConfig)); result.filesCreated.push(trackingPath); } // Generate metrics report if requested if (config.generateMetrics) { const metricsReport = generateMetricsReport(contextTiers, analysis); const metricsPath = join(contextDir, 'token-optimization-report.md'); writeFileSync(metricsPath, metricsReport); result.filesCreated.push(metricsPath); } result.success = true; result.message = `Created ${result.filesCreated.length} token-optimized files. Minimal tier saves ${result.tokenSavings.percentSaved}% tokens!`; } catch (error) { result.success = false; result.message = `Failed to create token optimizer: ${error}`; } return result; }
  • Tool registration in MCP tool definitions array, including name, description, and input schema specification.
    { name: 'create_token_optimizer', description: 'Create tiered context files for token optimization with ROI tracking', inputSchema: { type: 'object', properties: { projectPath: { type: 'string', description: 'Path to the project directory', }, analysisId: { type: 'string', description: 'Analysis ID from analyze_codebase_deeply', }, tiers: { type: 'array', items: { type: 'string', enum: ['minimal', 'standard', 'comprehensive'], }, description: 'Which context tiers to generate', }, trackUsage: { type: 'boolean', description: 'Enable token usage tracking', }, generateMetrics: { type: 'boolean', description: 'Generate ROI metrics report', }, }, required: ['projectPath'], }, },
  • MCP server request handler dispatch case for 'create_token_optimizer': parses arguments with Zod schema, invokes the tool implementation, and returns standardized MCP response.
    case 'create_token_optimizer': { const params = z.object({ projectPath: z.string(), analysisId: z.string().optional(), tiers: z.array(z.enum(['minimal', 'standard', 'comprehensive'])).optional(), trackUsage: z.boolean().optional(), generateMetrics: z.boolean().optional(), }).parse(args); const result = await createTokenOptimizer(params); return { content: [ { type: 'text', text: JSON.stringify(result, null, 2), }, ], }; }
  • Internal Zod validation schema matching the tool inputSchema for parameter parsing in the dispatch handler.
    const params = z.object({ projectPath: z.string(), analysisId: z.string().optional(), tiers: z.array(z.enum(['minimal', 'standard', 'comprehensive'])).optional(), trackUsage: z.boolean().optional(), generateMetrics: z.boolean().optional(), }).parse(args);
  • Helper function to generate tiered context structures used by the main handler.
    function generateTieredContexts( analysis: DeepAnalysisResult, tiers: ('minimal' | 'standard' | 'comprehensive')[] ): ContextTier[] { const contextTiers: ContextTier[] = []; if (tiers.includes('minimal')) { contextTiers.push({ name: 'minimal', targetTokens: 300, files: ['quick-reference.md'], content: generateMinimalContext(analysis), }); } if (tiers.includes('standard')) { contextTiers.push({ name: 'standard', targetTokens: 1500, files: ['quick-reference.md', 'patterns.yaml'], content: generateStandardContext(analysis), }); } if (tiers.includes('comprehensive')) { contextTiers.push({ name: 'comprehensive', targetTokens: 3000, files: ['quick-reference.md', 'CODEBASE-CONTEXT.md', 'PROJECT-TEMPLATE.md'], content: generateComprehensiveContext(analysis), }); } return contextTiers; }

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