Merge branch 'dev' into retail-bot

README.md

@@ -96,8 +96,6 @@ Here is an example
 
 ```
 
-
-
 ### Flexible Mode Options
 
 The following graph is generated by online logic which is built 
@@ -129,7 +127,43 @@ be executed. For cases where a constant reply needs to be given, the
 **give_final_response** means the current results of tool calling 
 is enough to answer the query.
 
-![Online Workflow](source/lambda/online/common_entry_workflow.png)
+```mermaid
+flowchart TD
+ subgraph ReAct["ReAct"]
+    direction TB
+        tools_choose_and_results_generation["tools_choose_and_results_generation"]
+        results_evaluation{{"results_evaluation"}}
+        tools_execution["tools_execution"]
+  end
+    _start_["_start_"] --> query_preprocess["query_preprocess"]
+    query_preprocess == chat mode ==> llm_direct_results_generation["llm_direct_results_generation"]
+    query_preprocess == rag mode ==> all_knowledge_retrieve["all_knowledge_retrieve"]
+    query_preprocess == agent mode ==> intention_detection["intention_detection"]
+    all_knowledge_retrieve --> llm_direct_results_generation & llm_rag_results_generation["llm_rag_results_generation"]
+    intention_detection -- similar query found --> matched_query_return["matched_query_return"]
+    intention_detection -- intention detected --> tools_choose_and_results_generation
+    tools_choose_and_results_generation --> results_evaluation
+    results_evaluation -. invalid tool calling .-> tools_choose_and_results_generation
+    results_evaluation -. valid tool calling .-> tools_execution
+    results_evaluation -. no need tool calling .-> final_results_preparation["final_results_preparation"]
+    tools_execution --> tools_choose_and_results_generation
+    llm_direct_results_generation --> _end_["_end_"]
+    llm_rag_results_generation --> _end_
+    matched_query_return --> final_results_preparation
+    final_results_preparation --> _end_
+     tools_choose_and_results_generation:::process
+     results_evaluation:::process
+     tools_execution:::process
+     query_preprocess:::process
+     llm_direct_results_generation:::process
+     all_knowledge_retrieve:::process
+     intention_detection:::process
+     llm_rag_results_generation:::process
+     matched_query_return:::process
+     final_results_preparation:::process
+    style query_preprocess fill:#FF6D00,color:#FFFFFF
+    style ReAct fill:#FFCDD2,color:#D50000
+```
 
 ## Quick Start
 Follow these steps to get started:

source/infrastructure/bin/main.ts

@@ -209,6 +209,6 @@ const devEnv = {
 
 const app = new App();
 const stackName = app.node.tryGetContext("StackName") || "intelli-agent";
-new RootStack(app, stackName, { env: devEnv })
+new RootStack(app, stackName, { env: devEnv });
 
 app.synth();

source/infrastructure/lib/shared/cdk-parameters.ts

@@ -24,7 +24,6 @@ interface CdkParameters {
 }
 
 export class DeploymentParameters implements CdkParameters {
-  public stackName: CfnParameter;
   public s3ModelAssets: CfnParameter;
   public subEmail: CfnParameter;
   public openSearchIndex: CfnParameter;
@@ -34,12 +33,6 @@ export class DeploymentParameters implements CdkParameters {
 
   constructor(scope: Construct) {
 
-    this.stackName = new CfnParameter(scope, 'StackName', {
-      type: 'String',
-      description: 'The name of the stack',
-      default: 'intelli-agent',
-    });
-
     this.s3ModelAssets = new CfnParameter(scope, "S3ModelAssets", {
       type: "String",
       description: "S3 Bucket for model & code assets",