gnodet commented on code in PR #25052: URL: https://github.com/apache/camel/pull/25052#discussion_r3655734409
########## dsl/camel-jbang/camel-jbang-mcp/src/main/java/org/apache/camel/dsl/jbang/core/commands/mcp/RouteCostEstimateTools.java: ########## @@ -0,0 +1,357 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.camel.dsl.jbang.core.commands.mcp; + +import java.util.ArrayList; +import java.util.Comparator; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; +import java.util.regex.Matcher; +import java.util.regex.Pattern; + +import jakarta.enterprise.context.ApplicationScoped; + +import io.quarkiverse.mcp.server.Tool; +import io.quarkiverse.mcp.server.ToolArg; +import io.quarkiverse.mcp.server.ToolCallException; + +/** + * MCP Tool for estimating API costs of a Camel route based on its component usage. + * <p> + * Particularly useful for AI pipelines where Bedrock, Textract, and S3 calls have per-unit pricing. Provides + * per-execution cost estimates and projections at a given throughput. + * <p> + * Cost data is approximate and based on published AWS pricing as of 2025. Actual costs depend on model, region, and + * volume tiers. + */ +@ApplicationScoped +public class RouteCostEstimateTools { + + private static final Pattern YAML_SCHEME_PATTERN = Pattern.compile( + "(?:uri:\\s*[\"']?|from:[ \\t]+[\"']?|to:[ \\t]+[\"']?|toD:[ \\t]+[\"']?)" + + "([a-zA-Z][a-zA-Z0-9+.-]*):(?://)?", + Pattern.MULTILINE); + + private static final Pattern XML_SCHEME_PATTERN = Pattern.compile( + "(?:<from|<to|<toD)\\s+uri=[\"']([a-zA-Z][a-zA-Z0-9+.-]*):", + Pattern.CASE_INSENSITIVE); + + private static final Map<String, ComponentCostProfile> COST_PROFILES = buildCostProfiles(); + + @Tool(annotations = @Tool.Annotations(readOnlyHint = true, destructiveHint = false, openWorldHint = false), + description = "Estimate API costs for a Camel route based on its component usage. " + + "Analyzes a YAML or XML route definition and identifies components with " + + "pay-per-use pricing. Currently covers: Bedrock (runtime and agent-runtime), " + + "Textract, S3, SQS, SNS, Kinesis, OpenAI, LangChain4j (chat and embeddings), " + + "and Docling (free/self-hosted). " + + "Returns per-execution cost estimate and monthly projection at a given throughput. " + + "Cost data is approximate based on published AWS pricing (2025-Q2).") + public CostEstimateResult camel_route_cost_estimate( + @ToolArg(description = "The Camel route definition (YAML or XML)") String route, + @ToolArg(description = "Expected messages per hour for cost projection (default: 100)") Integer messagesPerHour, + @ToolArg(description = "Average document pages per message for Textract/Docling (default: 5)") Integer avgPages, + @ToolArg(description = "Average LLM input tokens per request (default: 1000)") Integer avgInputTokens, + @ToolArg(description = "Average LLM output tokens per request (default: 500)") Integer avgOutputTokens) { + + if (route == null || route.isBlank()) { + throw new ToolCallException("Route content is required", null); + } + + try { + return doEstimate(route, messagesPerHour, avgPages, avgInputTokens, avgOutputTokens); + } catch (ToolCallException e) { + throw e; + } catch (Throwable e) { + throw new ToolCallException( + "Failed to estimate route cost (" + e.getClass().getName() + "): " + e.getMessage(), null); + } + } + + private CostEstimateResult doEstimate( + String route, Integer messagesPerHour, Integer avgPages, + Integer avgInputTokens, Integer avgOutputTokens) { + + int throughput = messagesPerHour != null && messagesPerHour > 0 ? messagesPerHour : 100; + int pages = avgPages != null && avgPages > 0 ? avgPages : 5; + int inTokens = avgInputTokens != null && avgInputTokens > 0 ? avgInputTokens : 1000; + int outTokens = avgOutputTokens != null && avgOutputTokens > 0 ? avgOutputTokens : 500; + + List<String> detectedSchemes = extractSchemes(route); + + List<ComponentCostBreakdown> breakdown = new ArrayList<>(); + double totalPerExecution = 0; + + for (String scheme : detectedSchemes) { + ComponentCostProfile profile = COST_PROFILES.get(scheme); + if (profile == null) { + continue; + } + + double costPerExec = profile.estimateCostPerExecution(pages, inTokens, outTokens); + totalPerExecution += costPerExec; + breakdown.add(new ComponentCostBreakdown( + scheme, profile.displayName(), profile.pricingModel(), + costPerExec, profile.pricingNote())); + } + + breakdown.sort(Comparator.comparingDouble(ComponentCostBreakdown::estimatedCostPerExecution).reversed()); + + double hourly = totalPerExecution * throughput; + double daily = hourly * 24; + double monthly = daily * 30; + + String mostExpensive = breakdown.isEmpty() ? null : breakdown.get(0).scheme(); + + List<String> optimizationTips = buildOptimizationTips(detectedSchemes, breakdown); + + CostProjection projection = new CostProjection( + throughput, + formatCost(hourly), formatCost(daily), formatCost(monthly)); + + CostSummary summary = new CostSummary( + formatCost(totalPerExecution), + breakdown.size(), + detectedSchemes.size(), + mostExpensive, + breakdown.isEmpty() ? "No pay-per-use components detected in this route" : null); + + return new CostEstimateResult( + breakdown.isEmpty() ? null : breakdown, + projection, summary, + optimizationTips.isEmpty() ? null : optimizationTips, + "Cost estimates are approximate based on published AWS pricing (us-east-1). " + + "Actual costs vary by region, volume tier, and model.", + "2025-Q2"); + } + + List<String> extractSchemes(String route) { + List<String> schemes = new ArrayList<>(); + addSchemeMatches(schemes, YAML_SCHEME_PATTERN, route); + addSchemeMatches(schemes, XML_SCHEME_PATTERN, route); + return schemes; + } + + private void addSchemeMatches(List<String> schemes, Pattern pattern, String route) { + Matcher m = pattern.matcher(route); + while (m.find()) { + String scheme = m.group(1); + if (!schemes.contains(scheme)) { + schemes.add(scheme); + } + } + } + + private List<String> buildOptimizationTips(List<String> schemes, List<ComponentCostBreakdown> breakdown) { + List<String> tips = new ArrayList<>(); + + if (schemes.contains("aws-bedrock")) { + tips.add("Consider using a smaller/cheaper Bedrock model for simpler tasks " + + "(e.g., Nova Lite instead of Claude for classification)"); + tips.add("Use streaming to reduce perceived latency without affecting token costs"); + } + if (schemes.contains("aws2-textract") && schemes.contains("docling")) { + tips.add("Using both Textract and Docling — consider using only Docling (free, open-source) " + + "for text extraction and reserving Textract for table/form extraction"); + } + if (schemes.contains("aws2-s3")) { + tips.add("S3 GET costs are minimal but add up at scale — consider caching frequently accessed documents"); + } + if (breakdown.size() > 1) { + tips.add("Most expensive component: " + breakdown.get(0).displayName() + + " — focus optimization here for maximum savings"); + } + return tips; + } + + private static String formatCost(double cost) { + if (cost < 0.01) { + return String.format("$%.6f", cost); Review Comment: Minor: `String.format("$%.6f", cost)` uses the JVM default locale. In locales with comma decimal separators (e.g., French), this would produce `$0,003000`. Consider using `String.format(Locale.ROOT, "$%.6f", cost)` for consistent output to MCP clients. ```suggestion return String.format(Locale.ROOT, "$%.6f", cost); ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
