add ts sample for bedrock inline agent

examples/bedrock-inline-agents/typescript/main.ts

@@ -0,0 +1,116 @@
+//import { BedrockInlineAgent, BedrockInlineAgentOptions } from 'multi-agent-orchestrator';
+import { BedrockInlineAgent, BedrockInlineAgentOptions } from '../../../typescript/src/agents/bedrockInlineAgent';
+import { 
+  BedrockAgentRuntimeClient, 
+  AgentActionGroup, 
+  KnowledgeBase 
+} from "@aws-sdk/client-bedrock-agent-runtime";
+import { BedrockRuntimeClient } from "@aws-sdk/client-bedrock-runtime";
+import { v4 as uuidv4 } from 'uuid';
+import { createInterface } from 'readline';
+
+// Define action groups
+const actionGroupsList: AgentActionGroup[] = [
+  {
+    actionGroupName: 'CodeInterpreterAction',
+    parentActionGroupSignature: 'AMAZON.CodeInterpreter',
+    description: 'Use this to write and execute python code to answer questions and other tasks.'
+  },
+  {
+    actionGroupExecutor: {
+      lambda: "arn:aws:lambda:region:0123456789012:function:my-function-name"
+    },
+    actionGroupName: "MyActionGroupName",
+    apiSchema: {
+      s3: {
+        s3BucketName: "bucket-name",
+        s3ObjectKey: "openapi-schema.json"
+      }
+    },
+    description: "My action group for doing a specific task"
+  }
+];
+
+// Define knowledge bases
+const knowledgeBases: KnowledgeBase[] = [
+  {
+    knowledgeBaseId: "knowledge-base-id-01",
+    description: 'This is my knowledge base for documents 01',
+  },
+  {
+    knowledgeBaseId: "knowledge-base-id-02",
+    description: 'This is my knowledge base for documents 02',
+  },
+  {
+    knowledgeBaseId: "knowledge-base-id-03",
+    description: 'This is my knowledge base for documents 03',
+  }
+];
+
+
+// Initialize BedrockInlineAgent
+const bedrickInlineAgent = new BedrockInlineAgent({
+  name: "Inline Agent Creator for Agents for Amazon Bedrock",
+  region: 'us-east-1',
+  modelId: "anthropic.claude-3-haiku-20240307-v1:0",
+  description: "Specialized in creating Agent to solve customer request dynamically. You are provided with a list of Action groups and Knowledge bases which can help you in answering customer request",
+  actionGroupsList: actionGroupsList,
+  knowledgeBases: knowledgeBases,
+  LOG_AGENT_DEBUG_TRACE: true
+});
+
+async function runInlineAgent(userInput: string, userId: string, sessionId: string) {
+  const response = await bedrickInlineAgent.processRequest(
+    userInput,
+    userId,
+    sessionId,
+    [], // empty chat history
+    undefined // no additional params
+  );
+  return response;
+}
+
+async function main() {
+  const sessionId = uuidv4();
+  const userId = uuidv4();
+
+  console.log("Welcome to the interactive Multi-Agent system. Type 'quit' to exit.");
+
+  const readline = createInterface({
+    input: process.stdin,
+    output: process.stdout
+  });
+
+  const getUserInput = () => {
+    return new Promise((resolve) => {
+      readline.question('\nYou: ', (input) => {
+        resolve(input.trim());
+      });
+    });
+  };
+
+  while (true) {
+    const userInput = await getUserInput() as string;
+
+    if (userInput.toLowerCase() === 'quit') {
+      console.log("Exiting the program. Goodbye!");
+      readline.close();
+      process.exit(0);
+    }
+
+    try {
+      const response = await runInlineAgent(userInput, userId, sessionId);
+      if (response && response.content && response.content.length > 0) {
+        const text = response.content[0]?.text;
+        console.log(text || 'No response content');
+      } else {
+        console.log('No response');
+      }
+    } catch (error) {
+      console.error('Error:', error);
+    }
+  }
+}
+
+// Run the program
+main().catch(console.error);