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Tools
| Name | Description |
|---|---|
generate_cost_report | Generate a detailed cost analysis report based on pricing data for one or more AWS services. This tool requires AWS pricing data and provides options for adding detailed cost information. IMPORTANT REQUIREMENTS: - ALWAYS include detailed unit pricing information (e.g., "$0.0008 per 1K input tokens") - ALWAYS show calculation breakdowns (unit price × usage = total cost) - ALWAYS specify the pricing model (e.g., "ON DEMAND") - ALWAYS list all assumptions and exclusions explicitly Output Format Options: - 'markdown' (default): Generates a well-formatted markdown report - 'csv': Generates a CSV format report with sections for service information, unit pricing, cost calculations, etc. Example usage: ```json { // Required parameters "pricing_data": { // This should contain pricing data retrieved from get_pricing "status": "success", "service_name": "bedrock", "data": "... pricing information ...", "message": "Retrieved pricing for bedrock from AWS Pricing url" }, "service_name": "Amazon Bedrock", // Core parameters (commonly used) "related_services": ["Lambda", "S3"], "pricing_model": "ON DEMAND", "assumptions": [ "Standard ON DEMAND pricing model", "No caching or optimization applied", "Average request size of 4KB" ], "exclusions": [ "Data transfer costs between regions", "Custom model training costs", "Development and maintenance costs" ], "output_file": "cost_analysis_report.md", // or "cost_analysis_report.csv" for CSV format "format": "markdown", // or "csv" for CSV format // Advanced parameter for complex scenarios "detailed_cost_data": { "services": { "Amazon Bedrock Foundation Models": { "usage": "Processing 1M input tokens and 500K output tokens with Claude 3.5 Haiku", "estimated_cost": "$80.00", "free_tier_info": "No free tier for Bedrock foundation models", "unit_pricing": { "input_tokens": "$0.0008 per 1K tokens", "output_tokens": "$0.0016 per 1K tokens" }, "usage_quantities": { "input_tokens": "1,000,000 tokens", "output_tokens": "500,000 tokens" }, "calculation_details": "$0.0008/1K × 1,000K input tokens + $0.0016/1K × 500K output tokens = $80.00" }, "AWS Lambda": { "usage": "6,000 requests per month with 512 MB memory", "estimated_cost": "$0.38", "free_tier_info": "First 12 months: 1M requests/month free", "unit_pricing": { "requests": "$0.20 per 1M requests", "compute": "$0.0000166667 per GB-second" }, "usage_quantities": { "requests": "6,000 requests", "compute": "6,000 requests × 1s × 0.5GB = 3,000 GB-seconds" }, "calculation_details": "$0.20/1M × 0.006M requests + $0.0000166667 × 3,000 GB-seconds = $0.38" } } }, // Recommendations parameter - can be provided directly or generated "recommendations": { "immediate": [ "Optimize prompt engineering to reduce token usage for Claude 3.5 Haiku", "Configure Knowledge Base OCUs based on actual query patterns", "Implement response caching for common queries to reduce token usage" ], "best_practices": [ "Monitor OCU utilization metrics and adjust capacity as needed", "Use prompt caching for repeated context across API calls", "Consider provisioned throughput for predictable workloads" ] } } ``` |