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Yuriy Bezsonov
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Add demo scripts for step-by-step AI agent build
Incremental scripts (00-07, 10) that build the AI agent feature by feature: chat client, memory, knowledge base, tools, browser, code interpreter, MCP, and deploy to AgentCore runtime. Also fix 09-aiagent-ui.sh to write config.json to app dir instead of repo source.
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‎apps/java-spring-ai-agents/demo-scripts/00-setup.sh‎

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#!/bin/bash
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set -e
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echo "=============================================="
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echo "00-setup.sh - Move full app to ~/demo-full/"
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echo "=============================================="
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if [ -d ~/demo-full ]; then
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echo "~/demo-full/ already exists, skipping move"
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else
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echo "Cleaning target directories..."
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rm -rf ~/environment/aiagent/target
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rm -rf ~/environment/backoffice/target
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rm -rf ~/environment/currency/target
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echo "Moving ~/environment/* to ~/demo-full/..."
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mkdir -p ~/demo-full
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mv ~/environment/* ~/demo-full/
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mv ~/environment/.envrc ~/demo-full/ 2>/dev/null || true
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fi
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echo "Cleaning ~/environment/..."
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rm -rf ~/environment/aiagent ~/environment/backoffice ~/environment/currency
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rm -f ~/environment/.envrc
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mkdir -p ~/environment
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echo ""
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echo "Done. Full app in ~/demo-full/, ~/environment/ is clean."

‎apps/java-spring-ai-agents/demo-scripts/01-create.sh‎

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#!/bin/bash
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set -e
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echo "=============================================="
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echo "01-create.sh - Create Spring Boot AI Agent"
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echo "=============================================="
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# Idempotency check
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if [ -d ~/environment/aiagent ]; then
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echo "~/environment/aiagent already exists, skipping creation"
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else
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cd ~/environment/
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curl -s https://start.spring.io/starter.zip \
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-d type=maven-project \
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-d language=java \
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-d packaging=jar \
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-d javaVersion=25 \
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-d bootVersion=4.0.2 \
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-d baseDir=aiagent \
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-d groupId=com.example \
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-d artifactId=agent \
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-d name=agent \
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-d description='AI agent with Spring AI and Amazon Bedrock' \
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-d dependencies=spring-ai-bedrock-converse,web,webflux,actuator \
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-o aiagent.zip
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unzip -q aiagent.zip
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rm aiagent.zip
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cd ~/environment/aiagent
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git init -q
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git add -A
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git commit -q -m "Initial Spring Boot project from start.spring.io"
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fi
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echo ""
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echo "Project created at ~/environment/aiagent"
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read -p "Press ENTER to continue..."
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# --- Patch pom.xml: add agentcore BOM + runtime-starter ---
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cd ~/environment/aiagent
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# Add agentcore BOM to dependencyManagement (inside <dependencies>, after spring-ai-bom closing tag)
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if ! grep -q "spring-ai-agentcore-bom" pom.xml; then
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sed -i '/<artifactId>spring-ai-bom<\/artifactId>/,/<\/dependency>/{
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/<\/dependency>/a \
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\t\t\t<dependency>\n\t\t\t\t<groupId>org.springaicommunity</groupId>\n\t\t\t\t<artifactId>spring-ai-agentcore-bom</artifactId>\n\t\t\t\t<version>1.0.0</version>\n\t\t\t\t<type>pom</type>\n\t\t\t\t<scope>import</scope>\n\t\t\t</dependency>
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}' pom.xml
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fi
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# Add runtime-starter dependency (after bedrock-converse)
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if ! grep -q "spring-ai-agentcore-runtime-starter" pom.xml; then
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sed -i '/<artifactId>spring-ai-starter-model-bedrock-converse<\/artifactId>/,/<\/dependency>/{
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/<\/dependency>/a \
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\t\t<!-- AgentCore dependencies -->\n\t\t<dependency>\n\t\t\t<groupId>org.springaicommunity</groupId>\n\t\t\t<artifactId>spring-ai-agentcore-runtime-starter</artifactId>\n\t\t</dependency>
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}' pom.xml
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fi
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# --- Write application.properties ---
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cat > ~/environment/aiagent/src/main/resources/application.properties << 'EOF'
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spring.application.name=agent
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# Logging
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logging.level.org.springframework.ai=DEBUG
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logging.level.org.springaicommunity.agentcore=DEBUG
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logging.level.com.example.agent=DEBUG
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logging.pattern.console=%msg%n
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# Amazon Bedrock Configuration
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spring.ai.bedrock.aws.timeout=120s
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spring.ai.bedrock.converse.chat.options.max-tokens=4096
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spring.ai.bedrock.converse.chat.options.model=global.anthropic.claude-sonnet-4-5-20250929-v1:0
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spring.ai.bedrock.converse.chat.options.temperature=0.7
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EOF
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# --- Write ChatService.java ---
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cat <<'EOF' > ~/environment/aiagent/src/main/java/com/example/agent/ChatService.java
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package com.example.agent;
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import org.springaicommunity.agentcore.annotation.AgentCoreInvocation;
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import org.springframework.ai.chat.client.ChatClient;
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import org.springframework.stereotype.Service;
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import reactor.core.publisher.Flux;
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record ChatRequest(String prompt) {}
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@Service
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public class ChatService {
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private final ChatClient chatClient;
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private static final String SYSTEM_PROMPT = """
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You are a helpful AI agent for travel and expense management.
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Be friendly, helpful, and concise in your responses.
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""";
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public ChatService(ChatClient.Builder chatClientBuilder) {
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this.chatClient = chatClientBuilder
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.defaultSystem(SYSTEM_PROMPT)
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.build();
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}
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@AgentCoreInvocation
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public Flux<String> chat(ChatRequest request) {
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return chatClient.prompt().user(request.prompt()).stream().content();
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}
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}
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EOF
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# --- Copy static UI files ---
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mkdir -p ~/environment/aiagent/src/main/resources/static
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cp ~/java-on-aws/apps/java-spring-ai-agents/aiagent/src/main/resources/static/* \
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~/environment/aiagent/src/main/resources/static/
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echo ""
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echo "Code added: ChatService + properties + UI"
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read -p "Press ENTER to continue..."
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# --- Commit and run ---
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cd ~/environment/aiagent
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git add -A
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git commit -q -m "Add chat client with system prompt and web UI"
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cd ~/environment/aiagent && ./mvnw spring-boot:run

‎apps/java-spring-ai-agents/demo-scripts/02-memory.sh‎

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#!/bin/bash
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set -e
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echo "=============================================="
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echo "02-memory.sh - Add AgentCore Memory"
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echo "=============================================="
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cd ~/environment/aiagent
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# --- Add env vars ---
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source ~/demo-full/.envrc 2>/dev/null || true
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# Extract memory ID from demo-full application.properties
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MEMORY_ID=$(grep "agentcore.memory.memory-id" ~/demo-full/aiagent/src/main/resources/application.properties | cut -d= -f2)
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if [ -z "$MEMORY_ID" ]; then
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echo "Error: Could not find memory-id in ~/demo-full/aiagent/src/main/resources/application.properties"
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exit 1
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fi
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# --- Add memory dependency to pom.xml ---
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if ! grep -q "spring-ai-agentcore-memory" pom.xml; then
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sed -i '/<artifactId>spring-ai-agentcore-runtime-starter<\/artifactId>/,/<\/dependency>/{
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/<\/dependency>/a \
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\t\t<!-- AgentCore Memory dependencies -->\n\t\t<dependency>\n\t\t\t<groupId>org.springaicommunity</groupId>\n\t\t\t<artifactId>spring-ai-agentcore-memory</artifactId>\n\t\t</dependency>
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}' pom.xml
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fi
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# --- Add memory properties ---
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if ! grep -q "agentcore.memory.memory-id" src/main/resources/application.properties; then
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cat >> src/main/resources/application.properties << EOF
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# AgentCore Memory
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agentcore.memory.memory-id=${MEMORY_ID}
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agentcore.memory.long-term.auto-discovery=true
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EOF
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fi
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# --- Update ChatService.java ---
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cat <<'EOF' > src/main/java/com/example/agent/ChatService.java
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package com.example.agent;
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import java.util.ArrayList;
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import java.util.List;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.springaicommunity.agentcore.annotation.AgentCoreInvocation;
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import org.springaicommunity.agentcore.context.AgentCoreContext;
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import org.springaicommunity.agentcore.context.AgentCoreHeaders;
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import org.springaicommunity.agentcore.memory.longterm.AgentCoreMemory;
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import org.springframework.ai.chat.client.ChatClient;
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import org.springframework.ai.chat.client.advisor.api.Advisor;
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import org.springframework.ai.chat.memory.ChatMemory;
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import org.springframework.stereotype.Service;
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import reactor.core.publisher.Flux;
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record ChatRequest(String prompt) {}
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@Service
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public class ChatService {
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private static final Logger logger = LoggerFactory.getLogger(ChatService.class);
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private final ChatClient chatClient;
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private static final String SYSTEM_PROMPT = """
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You are a helpful AI agent for travel and expense management.
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Be friendly, helpful, and concise in your responses.
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""";
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public ChatService(AgentCoreMemory agentCoreMemory,
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ChatClient.Builder chatClientBuilder) {
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List<Advisor> advisors = new ArrayList<>();
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// Memory (STM + LTM)
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advisors.addAll(agentCoreMemory.advisors);
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logger.info("Memory enabled: {} advisors", agentCoreMemory.advisors.size());
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this.chatClient = chatClientBuilder
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.defaultSystem(SYSTEM_PROMPT)
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.defaultAdvisors(advisors.toArray(new Advisor[0]))
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.build();
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}
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@AgentCoreInvocation
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public Flux<String> chat(ChatRequest request, AgentCoreContext context) {
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return chat(request.prompt(), getConversationId(context));
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}
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private Flux<String> chat(String prompt, String sessionId) {
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return chatClient.prompt().user(prompt)
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.advisors(a -> a.param(ChatMemory.CONVERSATION_ID, sessionId))
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.stream().content();
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}
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private String getConversationId(AgentCoreContext context) {
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return context.getHeader(AgentCoreHeaders.SESSION_ID);
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}
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}
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EOF
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echo ""
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echo "Memory added: dependency + properties + ChatService updated"
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read -p "Press ENTER to continue..."
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git add -A
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git commit -q -m "Add AgentCore Memory (STM + LTM)"
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cd ~/environment/aiagent && ./mvnw spring-boot:run

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