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1 | 1 | #!/usr/bin/env node |
2 | 2 | /** |
3 | 3 | * Example: Basic async guardrail bundle using Agents SDK with GuardrailAgent. |
4 | | - * |
| 4 | + * |
5 | 5 | * Run with: npx tsx agents_sdk.ts |
6 | | - * |
| 6 | + * |
7 | 7 | * Prerequisites: |
8 | 8 | * - Install @openai/agents: npm install @openai/agents |
9 | 9 | * - Set OPENAI_API_KEY environment variable |
10 | 10 | */ |
11 | 11 |
|
12 | 12 | import * as readline from 'readline'; |
13 | 13 | import { GuardrailAgent } from '../../dist/index.js'; |
14 | | -import { |
15 | | - InputGuardrailTripwireTriggered, |
16 | | - OutputGuardrailTripwireTriggered |
17 | | -} from '@openai/agents'; |
| 14 | +import { InputGuardrailTripwireTriggered, OutputGuardrailTripwireTriggered } from '@openai/agents'; |
18 | 15 |
|
19 | 16 | // Define your pipeline configuration |
20 | 17 | const PIPELINE_CONFIG = { |
| 18 | + version: 1, |
| 19 | + pre_flight: { |
21 | 20 | version: 1, |
22 | | - pre_flight: { |
23 | | - version: 1, |
24 | | - guardrails: [ |
25 | | - { |
26 | | - name: "Moderation", |
27 | | - config: { |
28 | | - categories: ["hate", "violence", "self-harm"], |
29 | | - }, |
30 | | - }, |
31 | | - ], |
32 | | - }, |
33 | | - input: { |
34 | | - version: 1, |
35 | | - guardrails: [ |
36 | | - { |
37 | | - name: "Custom Prompt Check", |
38 | | - config: { |
39 | | - model: "gpt-4.1-nano-2025-04-14", |
40 | | - confidence_threshold: 0.7, |
41 | | - system_prompt_details: "Check if the text contains any math problems.", |
42 | | - }, |
43 | | - }, |
44 | | - ], |
45 | | - }, |
46 | | - output: { |
47 | | - version: 1, |
48 | | - guardrails: [ |
49 | | - { name: "URL Filter", config: { url_allow_list: ["example.com"] } }, |
50 | | - ], |
51 | | - }, |
| 21 | + guardrails: [ |
| 22 | + { |
| 23 | + name: 'Moderation', |
| 24 | + config: { |
| 25 | + categories: ['hate', 'violence', 'self-harm'], |
| 26 | + }, |
| 27 | + }, |
| 28 | + ], |
| 29 | + }, |
| 30 | + input: { |
| 31 | + version: 1, |
| 32 | + guardrails: [ |
| 33 | + { |
| 34 | + name: 'Custom Prompt Check', |
| 35 | + config: { |
| 36 | + model: 'gpt-4.1-nano-2025-04-14', |
| 37 | + confidence_threshold: 0.7, |
| 38 | + system_prompt_details: 'Check if the text contains any math problems.', |
| 39 | + }, |
| 40 | + }, |
| 41 | + ], |
| 42 | + }, |
| 43 | + output: { |
| 44 | + version: 1, |
| 45 | + guardrails: [{ name: 'URL Filter', config: { url_allow_list: ['example.com'] } }], |
| 46 | + }, |
52 | 47 | }; |
53 | 48 |
|
54 | 49 | /** |
55 | 50 | * Create a readline interface for user input. |
56 | 51 | */ |
57 | 52 | function createReadlineInterface(): readline.Interface { |
58 | | - return readline.createInterface({ |
59 | | - input: process.stdin, |
60 | | - output: process.stdout, |
61 | | - }); |
| 53 | + return readline.createInterface({ |
| 54 | + input: process.stdin, |
| 55 | + output: process.stdout, |
| 56 | + }); |
62 | 57 | } |
63 | 58 |
|
64 | 59 | /** |
65 | 60 | * Main input loop for the customer support agent with input/output guardrails. |
66 | 61 | */ |
67 | 62 | async function main(): Promise<void> { |
68 | | - console.log('🤖 Customer Support Agent with Guardrails'); |
69 | | - console.log('=========================================='); |
70 | | - console.log('This agent has the following guardrails configured:'); |
71 | | - console.log('• Pre-flight: Moderation (hate, violence, self-harm)'); |
72 | | - console.log('• Input: Custom Prompt Check (math problems)'); |
73 | | - console.log('• Output: URL Filter (only example.com allowed)'); |
74 | | - console.log('==========================================\n'); |
75 | | - |
76 | | - try { |
77 | | - // Create agent with guardrails automatically configured from pipeline configuration |
78 | | - // Set raiseGuardrailErrors to true for strict error handling |
79 | | - const agent = await GuardrailAgent.create( |
80 | | - PIPELINE_CONFIG, |
81 | | - "Customer support agent", |
82 | | - "You are a customer support agent. You help customers with their questions.", |
83 | | - {}, |
84 | | - true // raiseGuardrailErrors = true |
85 | | - ); |
86 | | - |
87 | | - // Dynamic import to avoid bundling issues |
88 | | - const { run } = await import('@openai/agents'); |
89 | | - |
90 | | - const rl = createReadlineInterface(); |
91 | | - |
92 | | - // Handle graceful shutdown |
93 | | - const shutdown = () => { |
94 | | - console.log('\n👋 Exiting the program.'); |
95 | | - rl.close(); |
96 | | - process.exit(0); |
97 | | - }; |
98 | | - |
99 | | - process.on('SIGINT', shutdown); |
100 | | - process.on('SIGTERM', shutdown); |
101 | | - |
102 | | - while (true) { |
103 | | - try { |
104 | | - const userInput = await new Promise<string>((resolve) => { |
105 | | - rl.question('Enter a message: ', resolve); |
106 | | - }); |
107 | | - |
108 | | - if (userInput.toLowerCase() === 'exit' || userInput.toLowerCase() === 'quit') { |
109 | | - shutdown(); |
110 | | - break; |
111 | | - } |
112 | | - |
113 | | - console.log('🤔 Processing...\n'); |
114 | | - |
115 | | - const result = await run(agent, userInput); |
116 | | - console.log(`Assistant: ${result.finalOutput}\n`); |
117 | | - |
118 | | - } catch (error: any) { |
119 | | - // Handle guardrail tripwire exceptions |
120 | | - if (error instanceof InputGuardrailTripwireTriggered) { |
121 | | - console.log('🛑 Input guardrail triggered! Please try a different message.\n'); |
122 | | - continue; |
123 | | - } else if (error instanceof OutputGuardrailTripwireTriggered) { |
124 | | - console.log('🛑 Output guardrail triggered! The response was blocked.\n'); |
125 | | - continue; |
126 | | - } else { |
127 | | - console.error('❌ An error occurred:', error.message); |
128 | | - console.log('Please try again.\n'); |
129 | | - } |
130 | | - } |
| 63 | + console.log('🤖 Customer Support Agent with Guardrails'); |
| 64 | + console.log('=========================================='); |
| 65 | + console.log('This agent has the following guardrails configured:'); |
| 66 | + console.log('• Pre-flight: Moderation (hate, violence, self-harm)'); |
| 67 | + console.log('• Input: Custom Prompt Check (math problems)'); |
| 68 | + console.log('• Output: URL Filter (only example.com allowed)'); |
| 69 | + console.log('==========================================\n'); |
| 70 | + |
| 71 | + try { |
| 72 | + // Create agent with guardrails automatically configured from pipeline configuration |
| 73 | + // Set raiseGuardrailErrors to true for strict error handling |
| 74 | + const agent = await GuardrailAgent.create( |
| 75 | + PIPELINE_CONFIG, |
| 76 | + 'Customer support agent', |
| 77 | + 'You are a customer support agent. You help customers with their questions.', |
| 78 | + {}, |
| 79 | + true // raiseGuardrailErrors = true |
| 80 | + ); |
| 81 | + |
| 82 | + // Dynamic import to avoid bundling issues |
| 83 | + const { run } = await import('@openai/agents'); |
| 84 | + |
| 85 | + const rl = createReadlineInterface(); |
| 86 | + |
| 87 | + // Handle graceful shutdown |
| 88 | + const shutdown = () => { |
| 89 | + console.log('\n👋 Exiting the program.'); |
| 90 | + rl.close(); |
| 91 | + process.exit(0); |
| 92 | + }; |
| 93 | + |
| 94 | + process.on('SIGINT', shutdown); |
| 95 | + process.on('SIGTERM', shutdown); |
| 96 | + |
| 97 | + while (true) { |
| 98 | + try { |
| 99 | + const userInput = await new Promise<string>((resolve) => { |
| 100 | + rl.question('Enter a message: ', resolve); |
| 101 | + }); |
| 102 | + |
| 103 | + if (userInput.toLowerCase() === 'exit' || userInput.toLowerCase() === 'quit') { |
| 104 | + shutdown(); |
| 105 | + break; |
131 | 106 | } |
132 | 107 |
|
133 | | - } catch (error: any) { |
134 | | - if (error.message.includes('@openai/agents')) { |
135 | | - console.error('❌ Error: The @openai/agents package is required.'); |
136 | | - console.error('Please install it with: npm install @openai/agents'); |
137 | | - } else if (error.message.includes('OPENAI_API_KEY')) { |
138 | | - console.error('❌ Error: OPENAI_API_KEY environment variable is required.'); |
139 | | - console.error('Please set it with: export OPENAI_API_KEY=sk-...'); |
| 108 | + console.log('🤔 Processing...\n'); |
| 109 | + |
| 110 | + const result = await run(agent, userInput); |
| 111 | + console.log(`Assistant: ${result.finalOutput}\n`); |
| 112 | + } catch (error: any) { |
| 113 | + // Handle guardrail tripwire exceptions |
| 114 | + if (error instanceof InputGuardrailTripwireTriggered) { |
| 115 | + console.log('🛑 Input guardrail triggered! Please try a different message.\n'); |
| 116 | + continue; |
| 117 | + } else if (error instanceof OutputGuardrailTripwireTriggered) { |
| 118 | + console.log('🛑 Output guardrail triggered! The response was blocked.\n'); |
| 119 | + continue; |
140 | 120 | } else { |
141 | | - console.error('❌ Unexpected error:', error.message); |
| 121 | + console.error('❌ An error occurred:', error.message); |
| 122 | + console.log('Please try again.\n'); |
142 | 123 | } |
143 | | - process.exit(1); |
| 124 | + } |
| 125 | + } |
| 126 | + } catch (error: any) { |
| 127 | + if (error.message.includes('@openai/agents')) { |
| 128 | + console.error('❌ Error: The @openai/agents package is required.'); |
| 129 | + console.error('Please install it with: npm install @openai/agents'); |
| 130 | + } else if (error.message.includes('OPENAI_API_KEY')) { |
| 131 | + console.error('❌ Error: OPENAI_API_KEY environment variable is required.'); |
| 132 | + console.error('Please set it with: export OPENAI_API_KEY=sk-...'); |
| 133 | + } else { |
| 134 | + console.error('❌ Unexpected error:', error.message); |
144 | 135 | } |
| 136 | + process.exit(1); |
| 137 | + } |
145 | 138 | } |
146 | 139 |
|
147 | 140 | // Run the main function |
148 | 141 | if (import.meta.url === `file://${process.argv[1]}`) { |
149 | | - main().catch((error) => { |
150 | | - console.error('❌ Fatal error:', error); |
151 | | - process.exit(1); |
152 | | - }); |
| 142 | + main().catch((error) => { |
| 143 | + console.error('❌ Fatal error:', error); |
| 144 | + process.exit(1); |
| 145 | + }); |
153 | 146 | } |
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