fix: unique root agent names in examples

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/Example02Tools.java

@@ -48,7 +48,7 @@ public static void main(String[] args) {
         List<ToolDef> tools = ToolRegistry.fromInstance(new AgentTools());
 
         Agent agent = Agent.builder()
-            .name("weather_stock_agent")
+            .name("weather_stock_agent_02")
             .model(Settings.LLM_MODEL)
             .tools(tools)
             .instructions("You are a helpful assistant. Use tools to answer questions.")

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/Example02aSimpleTools.java

@@ -50,7 +50,7 @@ public static void main(String[] args) {
         List<ToolDef> tools = ToolRegistry.fromInstance(new AssistantTools());
 
         Agent agent = Agent.builder()
-            .name("weather_stock_agent")
+            .name("weather_stock_agent_02a")
             .model(Settings.LLM_MODEL)
             .tools(tools)
             .instructions("You are a helpful assistant. Use tools to answer questions.")

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/Example05Handoffs.java

@@ -82,7 +82,7 @@ public static void main(String[] args) {
 
         // Orchestrator with handoff strategy
         Agent support = Agent.builder()
-            .name("support")
+            .name("support_05")
             .model(Settings.LLM_MODEL)
             .instructions("Route customer requests to the right specialist: billing, technical, or sales.")
             .agents(billingAgent, technicalAgent, salesAgent)

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/Example09bHandoffHumanInTheLoop.java

@@ -65,7 +65,7 @@ public static void main(String[] args) throws Exception {
             .build();
 
         Agent support = Agent.builder()
-            .name("support")
+            .name("support_09b")
             .model(Settings.LLM_MODEL)
             .instructions("Route any database task to the dba sub-agent.")
             .agents(dba)

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/Example10Guardrails.java

@@ -86,7 +86,7 @@ public static void main(String[] args) {
             ToolRegistry.guardrailsFromInstance(new PiiGuardrails());
 
         Agent agent = Agent.builder()
-            .name("support_agent")
+            .name("support_agent_10")
             .model(Settings.LLM_MODEL)
             .instructions(
                 "You are a customer support assistant. Use the available tools to "

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/Example17SwarmOrchestration.java

@@ -57,7 +57,7 @@ public static void main(String[] args) {
         // ── Front-line support with SWARM strategy ───────────────────────
 
         Agent support = Agent.builder()
-            .name("support")
+            .name("support_17")
             .model(Settings.LLM_MODEL)
             .instructions(
                 "You are the front-line customer support agent. Triage customer requests. "

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/Example42SecurityTesting.java

@@ -117,7 +117,7 @@ public static void main(String[] args) {
 
         // Pipeline: attack → respond → evaluate
         Agent pipeline = Agent.builder()
-            .name("security_test_pipeline")
+            .name("security_test_pipeline_42")
             .model(Settings.LLM_MODEL)
             .agents(redTeam, target, evaluator)
             .strategy(Strategy.SEQUENTIAL)

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/Example55MlEngineeringPipeline.java

@@ -129,7 +129,7 @@ public static void main(String[] args) {
         // ── Full pipeline (flat 8-agent sequential list) ───────────────────
 
         Agent mlPipeline = Agent.builder()
-            .name("ml_pipeline")
+            .name("ml_pipeline_55")
             .model(Settings.LLM_MODEL)
             .agents(dataAnalyst, modelExploration, evaluator,
                     optimizerR1, validatorR1, optimizerR2, validatorR2,

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/Example58ScatterGather.java

@@ -130,7 +130,7 @@ public static void main(String[] args) {
             + "countries by GDP.";
 
         Agent coordinator = Agent.builder()
-            .name("coordinator")
+            .name("coordinator_58")
             .model(Settings.SECONDARY_LLM_MODEL)
             .instructions(instructions)
             .tools(List.of(workerTool))

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/Example65ParallelWithTools.java

@@ -87,7 +87,7 @@ public static void main(String[] args) {
 
         // Both analysts run concurrently
         Agent analysis = Agent.builder()
-            .name("parallel_analysis")
+            .name("parallel_analysis_65")
             .model(Settings.LLM_MODEL)
             .agents(financialAnalyst, orderAnalyst)
             .strategy(Strategy.PARALLEL)

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/adk/Example00HelloWorld.java

@@ -35,7 +35,7 @@ public class Example00HelloWorld {
     public static void main(String[] args) {
         AgentRuntime runtime = new AgentRuntime();
         LlmAgent greeter = LlmAgent.builder()
-                .name("greeter")
+                .name("adk_greeter_00")
                 .description("A friendly greeter that says hello and shares a fun fact.")
                 .model(Settings.LLM_MODEL)
                 .instruction("You are a friendly greeter. Reply with a warm hello and one fun fact.")

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/adk/Example01BasicAgent.java

@@ -31,7 +31,7 @@ public class Example01BasicAgent {
     public static void main(String[] args) {
         AgentRuntime runtime = new AgentRuntime();
         LlmAgent researcher = LlmAgent.builder()
-            .name("greeter")
+            .name("adk_greeter_01")
             .description("A friendly assistant that gives concise, helpful answers.")
             .model(Settings.LLM_MODEL)
             .instruction("You are a friendly assistant. Keep your responses concise and helpful.")

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/adk/Example09MultiToolAgent.java

@@ -133,7 +133,7 @@ public static Map<String, Object> applyCoupon(
     public static void main(String[] args) {
         AgentRuntime runtime = new AgentRuntime();
         LlmAgent shopper = LlmAgent.builder()
-            .name("shopping_assistant")
+            .name("adk_shopping_assistant_09")
             .description("Helps users search products, check stock, calculate shipping, and apply coupons.")
             .model(Settings.LLM_MODEL)
             .instruction("""

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/adk/Example12ParallelAgent.java

@@ -62,7 +62,7 @@ public static void main(String[] args) {
 
         // All three analysts dispatched concurrently by native ParallelAgent.
         ParallelAgent parallelAnalysis = ParallelAgent.builder()
-            .name("parallel_analysis")
+            .name("adk_parallel_analysis_12")
             .description("Fan-out to three analysts running in parallel.")
             .subAgents(marketAnalyst, techAnalyst, riskAnalyst)
             .build();

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/adk/Example27SecurityAgent.java

@@ -119,7 +119,7 @@ public static void main(String[] args) {
             .build();
 
         LlmAgent securityTest = LlmAgent.builder()
-            .name("security_test_pipeline")
+            .name("adk_security_test_pipeline_27")
             .description("Sequential pipeline: red-team → target → security evaluator.")
             .model(Settings.LLM_MODEL)
             .instruction("""

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/adk/Example29IncludeContents.java

@@ -49,7 +49,7 @@ public static void main(String[] args) {
             .build();
 
         LlmAgent coordinator = LlmAgent.builder()
-            .name("coordinator")
+            .name("adk_coordinator_29")
             .description("Routes summarization to the independent summarizer and questions to the helper.")
             .model(Settings.LLM_MODEL)
             .instruction(

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/adk/Example31SharedState.java

@@ -59,7 +59,7 @@ public static Map<String, Object> clearList() {
     public static void main(String[] args) {
         AgentRuntime runtime = new AgentRuntime();
         LlmAgent stateAgent = LlmAgent.builder()
-            .name("shopping_assistant")
+            .name("adk_shopping_assistant_31")
             .description("Manages a shopping list shared across tool calls via add/get/clear tools.")
             .model(Settings.LLM_MODEL)
             .instruction(

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/adk/Example34MlEngineering.java

@@ -197,7 +197,7 @@ Based on the entire conversation (data analysis, model exploration,
 
         // ── Full Pipeline ────────────────────────────────────────────────
         LlmAgent mlPipeline = LlmAgent.builder()
-            .name("ml_pipeline")
+            .name("adk_ml_pipeline_34")
             .description("End-to-end ML pipeline orchestrating EDA, exploration, evaluation, refinement, and reporting.")
             .model(Settings.LLM_MODEL)
             .instruction("""

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/openai/Example01BasicAgent.java

@@ -39,7 +39,7 @@ public class Example01BasicAgent {
     public static void main(String[] args) {
         AgentRuntime runtime = new AgentRuntime();
         Agent agent = OpenAIAgent.builder()
-                .name("greeter")
+                .name("openai_greeter_01")
                 .instructions("You are a friendly assistant. Keep your responses concise and helpful.")
                 .model(Settings.LLM_MODEL)
                 .build();

agent-examples/src/main/java/org/conductoross/conductor/ai/examples/openai/Example07Streaming.java

@@ -68,7 +68,7 @@ public String searchKnowledgeBase(String query) {
     public static void main(String[] args) {
         AgentRuntime runtime = new AgentRuntime();
         Agent agent = OpenAIAgent.builder()
-                .name("support_agent")
+                .name("openai_support_agent_07")
                 .instructions(
                         "You are a customer support agent. Use the knowledge base to answer "
                                 + "questions accurately. If you can't find the answer, say so honestly.")