Formatting update

.eslintrc.js

@@ -1,21 +1,19 @@
 module.exports = {
-    parser: '@typescript-eslint/parser',
-    extends: [
-        'eslint:recommended',
-    ],
-    plugins: ['@typescript-eslint'],
-    env: {
-        node: true,
-        es2020: true,
-    },
-    parserOptions: {
-        ecmaVersion: 2020,
-        sourceType: 'module',
-    },
-    rules: {
-        '@typescript-eslint/no-unused-vars': 'warn',
-        '@typescript-eslint/explicit-function-return-type': 'off',
-        '@typescript-eslint/explicit-module-boundary-types': 'off',
-        '@typescript-eslint/no-explicit-any': 'warn',
-    },
-}; 
+  parser: '@typescript-eslint/parser',
+  extends: ['eslint:recommended'],
+  plugins: ['@typescript-eslint'],
+  env: {
+    node: true,
+    es2020: true,
+  },
+  parserOptions: {
+    ecmaVersion: 2020,
+    sourceType: 'module',
+  },
+  rules: {
+    '@typescript-eslint/no-unused-vars': 'warn',
+    '@typescript-eslint/explicit-function-return-type': 'off',
+    '@typescript-eslint/explicit-module-boundary-types': 'off',
+    '@typescript-eslint/no-explicit-any': 'warn',
+  },
+};

examples/basic/agents_sdk.ts

@@ -1,153 +1,146 @@
 #!/usr/bin/env node
 /**
  * Example: Basic async guardrail bundle using Agents SDK with GuardrailAgent.
- * 
+ *
  * Run with: npx tsx agents_sdk.ts
- * 
+ *
  * Prerequisites:
  * - Install @openai/agents: npm install @openai/agents
  * - Set OPENAI_API_KEY environment variable
  */
 
 import * as readline from 'readline';
 import { GuardrailAgent } from '../../dist/index.js';
-import { 
-    InputGuardrailTripwireTriggered, 
-    OutputGuardrailTripwireTriggered 
-} from '@openai/agents';
+import { InputGuardrailTripwireTriggered, OutputGuardrailTripwireTriggered } from '@openai/agents';
 
 // Define your pipeline configuration
 const PIPELINE_CONFIG = {
+  version: 1,
+  pre_flight: {
     version: 1,
-    pre_flight: {
-        version: 1,
-        guardrails: [
-            {
-                name: "Moderation",
-                config: {
-                    categories: ["hate", "violence", "self-harm"],
-                },
-            },
-        ],
-    },
-    input: {
-        version: 1,
-        guardrails: [
-            {
-                name: "Custom Prompt Check",
-                config: {
-                    model: "gpt-4.1-nano-2025-04-14",
-                    confidence_threshold: 0.7,
-                    system_prompt_details: "Check if the text contains any math problems.",
-                },
-            },
-        ],
-    },
-    output: {
-        version: 1,
-        guardrails: [
-            { name: "URL Filter", config: { url_allow_list: ["example.com"] } },
-        ],
-    },
+    guardrails: [
+      {
+        name: 'Moderation',
+        config: {
+          categories: ['hate', 'violence', 'self-harm'],
+        },
+      },
+    ],
+  },
+  input: {
+    version: 1,
+    guardrails: [
+      {
+        name: 'Custom Prompt Check',
+        config: {
+          model: 'gpt-4.1-nano-2025-04-14',
+          confidence_threshold: 0.7,
+          system_prompt_details: 'Check if the text contains any math problems.',
+        },
+      },
+    ],
+  },
+  output: {
+    version: 1,
+    guardrails: [{ name: 'URL Filter', config: { url_allow_list: ['example.com'] } }],
+  },
 };
 
 /**
  * Create a readline interface for user input.
  */
 function createReadlineInterface(): readline.Interface {
-    return readline.createInterface({
-        input: process.stdin,
-        output: process.stdout,
-    });
+  return readline.createInterface({
+    input: process.stdin,
+    output: process.stdout,
+  });
 }
 
 /**
  * Main input loop for the customer support agent with input/output guardrails.
  */
 async function main(): Promise<void> {
-    console.log('🤖 Customer Support Agent with Guardrails');
-    console.log('==========================================');
-    console.log('This agent has the following guardrails configured:');
-    console.log('• Pre-flight: Moderation (hate, violence, self-harm)');
-    console.log('• Input: Custom Prompt Check (math problems)');
-    console.log('• Output: URL Filter (only example.com allowed)');
-    console.log('==========================================\n');
-
-    try {
-        // Create agent with guardrails automatically configured from pipeline configuration
-        // Set raiseGuardrailErrors to true for strict error handling
-        const agent = await GuardrailAgent.create(
-            PIPELINE_CONFIG,
-            "Customer support agent",
-            "You are a customer support agent. You help customers with their questions.",
-            {},
-            true // raiseGuardrailErrors = true
-        );
-
-        // Dynamic import to avoid bundling issues
-        const { run } = await import('@openai/agents');
-
-        const rl = createReadlineInterface();
-
-        // Handle graceful shutdown
-        const shutdown = () => {
-            console.log('\n👋 Exiting the program.');
-            rl.close();
-            process.exit(0);
-        };
-
-        process.on('SIGINT', shutdown);
-        process.on('SIGTERM', shutdown);
-
-        while (true) {
-            try {
-                const userInput = await new Promise<string>((resolve) => {
-                    rl.question('Enter a message: ', resolve);
-                });
-
-                if (userInput.toLowerCase() === 'exit' || userInput.toLowerCase() === 'quit') {
-                    shutdown();
-                    break;
-                }
-
-                console.log('🤔 Processing...\n');
-
-                const result = await run(agent, userInput);
-                console.log(`Assistant: ${result.finalOutput}\n`);
-
-            } catch (error: any) {
-                // Handle guardrail tripwire exceptions
-                if (error instanceof InputGuardrailTripwireTriggered) {
-                    console.log('🛑 Input guardrail triggered! Please try a different message.\n');
-                    continue;
-                } else if (error instanceof OutputGuardrailTripwireTriggered) {
-                    console.log('🛑 Output guardrail triggered! The response was blocked.\n');
-                    continue;
-                } else {
-                    console.error('❌ An error occurred:', error.message);
-                    console.log('Please try again.\n');
-                }
-            }
+  console.log('🤖 Customer Support Agent with Guardrails');
+  console.log('==========================================');
+  console.log('This agent has the following guardrails configured:');
+  console.log('• Pre-flight: Moderation (hate, violence, self-harm)');
+  console.log('• Input: Custom Prompt Check (math problems)');
+  console.log('• Output: URL Filter (only example.com allowed)');
+  console.log('==========================================\n');
+
+  try {
+    // Create agent with guardrails automatically configured from pipeline configuration
+    // Set raiseGuardrailErrors to true for strict error handling
+    const agent = await GuardrailAgent.create(
+      PIPELINE_CONFIG,
+      'Customer support agent',
+      'You are a customer support agent. You help customers with their questions.',
+      {},
+      true // raiseGuardrailErrors = true
+    );
+
+    // Dynamic import to avoid bundling issues
+    const { run } = await import('@openai/agents');
+
+    const rl = createReadlineInterface();
+
+    // Handle graceful shutdown
+    const shutdown = () => {
+      console.log('\n👋 Exiting the program.');
+      rl.close();
+      process.exit(0);
+    };
+
+    process.on('SIGINT', shutdown);
+    process.on('SIGTERM', shutdown);
+
+    while (true) {
+      try {
+        const userInput = await new Promise<string>((resolve) => {
+          rl.question('Enter a message: ', resolve);
+        });
+
+        if (userInput.toLowerCase() === 'exit' || userInput.toLowerCase() === 'quit') {
+          shutdown();
+          break;
         }
 
-    } catch (error: any) {
-        if (error.message.includes('@openai/agents')) {
-            console.error('❌ Error: The @openai/agents package is required.');
-            console.error('Please install it with: npm install @openai/agents');
-        } else if (error.message.includes('OPENAI_API_KEY')) {
-            console.error('❌ Error: OPENAI_API_KEY environment variable is required.');
-            console.error('Please set it with: export OPENAI_API_KEY=sk-...');
+        console.log('🤔 Processing...\n');
+
+        const result = await run(agent, userInput);
+        console.log(`Assistant: ${result.finalOutput}\n`);
+      } catch (error: any) {
+        // Handle guardrail tripwire exceptions
+        if (error instanceof InputGuardrailTripwireTriggered) {
+          console.log('🛑 Input guardrail triggered! Please try a different message.\n');
+          continue;
+        } else if (error instanceof OutputGuardrailTripwireTriggered) {
+          console.log('🛑 Output guardrail triggered! The response was blocked.\n');
+          continue;
         } else {
-            console.error('❌ Unexpected error:', error.message);
+          console.error('❌ An error occurred:', error.message);
+          console.log('Please try again.\n');
         }
-        process.exit(1);
+      }
+    }
+  } catch (error: any) {
+    if (error.message.includes('@openai/agents')) {
+      console.error('❌ Error: The @openai/agents package is required.');
+      console.error('Please install it with: npm install @openai/agents');
+    } else if (error.message.includes('OPENAI_API_KEY')) {
+      console.error('❌ Error: OPENAI_API_KEY environment variable is required.');
+      console.error('Please set it with: export OPENAI_API_KEY=sk-...');
+    } else {
+      console.error('❌ Unexpected error:', error.message);
     }
+    process.exit(1);
+  }
 }
 
 // Run the main function
 if (import.meta.url === `file://${process.argv[1]}`) {
-    main().catch((error) => {
-        console.error('❌ Fatal error:', error);
-        process.exit(1);
-    });
+  main().catch((error) => {
+    console.error('❌ Fatal error:', error);
+    process.exit(1);
+  });
 }