ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

2026-08-20 13:12:50 +00:00
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+"""
+Azure OpenAI example with data privacy and high-scale configuration.
+
+Environment Variables Required:
+- AZURE_OPENAI_KEY (or AZURE_OPENAI_API_KEY)
+- AZURE_OPENAI_ENDPOINT
+- AZURE_OPENAI_DEPLOYMENT (optional)
+
+DATA PRIVACY WITH AZURE OPENAI:
+✅ Good News: No Training on Your Data by Default
+
+Azure OpenAI Service already protects your data:
+✅ NOT used to train OpenAI models
+✅ NOT shared with other customers
+✅ NOT accessible to OpenAI directly
+✅ NOT used to improve Microsoft/third-party products
+✅ Hosted entirely within Azure (not OpenAI's servers)
+
+⚠️ Default Data Retention (30 Days)
+- Prompts and completions stored for up to 30 days
+- Purpose: Abuse monitoring and compliance
+- Access: Microsoft authorized personnel (only if abuse detected)
+
+🔒 How to Disable Data Logging Completely
+Apply for Microsoft's "Limited Access Program":
+1. Contact Microsoft Azure support
+2. Submit Limited Access Program request
+3. Demonstrate legitimate business need
+4. After approval: Zero data logging, immediate deletion, no human review
+
+For high-scale deployments (500+ agents), consider:
+- Multiple deployments across regions
+
+
+How to Verify This Yourself, that there is no data logging:
+- Network monitoring: Run with network monitoring tools
+- Firewall rules: Block all domains except Azure OpenAI and your target sites
+
+Contact us if you need help with this: support@browser-use.com
+"""
+
+import asyncio
+import os
+import sys
+
+from dotenv import load_dotenv
+
+sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
+
+load_dotenv()
+
+
+os.environ['ANONYMIZED_TELEMETRY'] = 'false'
+
+
+from browser_use import Agent, BrowserProfile, ChatAzureOpenAI
+
+# Configuration LLM
+api_key = os.getenv('AZURE_OPENAI_KEY')
+azure_endpoint = os.getenv('AZURE_OPENAI_ENDPOINT')
+llm = ChatAzureOpenAI(model='gpt-4.1-mini', api_key=api_key, azure_endpoint=azure_endpoint)
+
+# Configuration Task
+task = 'Find the founders of the sensitive company_name'
+
+# Configuration Browser (optional)
+browser_profile = BrowserProfile(allowed_domains=['*google.com', 'browser-use.com'], enable_default_extensions=False)
+
+# Sensitive data (optional) - {key: sensitive_information} - we filter out the sensitive_information from any input to the LLM, it will only work with placeholder.
+# By default we pass screenshots to the LLM which can contain your information. Set use_vision=False to disable this.
+# If you trust your LLM endpoint, you don't need to worry about this.
+sensitive_data = {'company_name': 'browser-use'}
+
+
+# Create Agent
+agent = Agent(task=task, llm=llm, browser_profile=browser_profile, sensitive_data=sensitive_data)  # type: ignore
+
+
+async def main():
+	await agent.run(max_steps=10)
+
+
+asyncio.run(main())