Amazon AWS Bedrock

🌐 Global Network ● 24h Uptime 99.99% (AWS Global Backbone)

Free Tier & credit programs available · Global gold standard for enterprise AI

⚡ Speed & Latency
480ms ~ 920ms
Amazon Web Services global network with top-tier security & compliance
🎁 Free Quota & Policy
AWS Free Tier 12-month program + Activate credits
Requires credit card for identity check · Eligible for AWS Activate startup credits
🛡️ Auth & Access Requirements
Create Access Key ID & Secret Key in AWS IAM
Connect via AWS SDK (boto3 / AWS CLI) or Bedrock API
📊 Concurrency & Context
Enterprise elastic scaling · 200K Context
Direct access to Claude 3.5 with strict enterprise data privacy guarantees

🔌 OpenAI-Compatible Base URL

https://bedrock-runtime.us-east-1.amazonaws.com

💡 Directly paste the address above as Base URL into any OpenAI-compatible client (NextChat, Cherry Studio, Immersive Translate, etc.).

📋 Featured Models:

Click Model ID to copy
Claude顶配 anthropic.claude-3-5-sonnet-20240620-v1:0
Anthropic Claude 3.5 Sonnet 官方高可用托管
Llama旗舰 meta.llama3-3-70b-instruct-v1:0
Meta Llama 3.3 70B 企业级算力驱动

💡 Key Traps & Practical Tips

AWS Free Tier 12-Month Access + Credits
Official hosting for Claude 3.5 & Llama 3.3 models
1. Protocol Compatibility: Most modern LLMs are fully OpenAI-compatible. In Python, simply use the official openai SDK for seamless switching.
2. Network Routing: Providers labeled Direct Connection respond in milliseconds domestically. Providers labeled Global Network are best called from servers with international access.
3. Local Key Security: When using tools on FreeAI Dog, all API Keys are strictly saved in your browser localStorage and never transmitted to any third-party server.

💻 Quick Python OpenAI SDK Example

from openai import OpenAI

client = OpenAI(
    api_key="your_api_key_here",  # 填入申请的 Key
    base_url="https://bedrock-runtime.us-east-1.amazonaws.com"
)

response = client.chat.completions.create(
    model="anthropic.claude-3-5-sonnet-20240620-v1:0",
    messages=[
        [object Object]
    ]
)

print(response.choices[0].message.content)
← Radar ⚡ 🚀 🛠️ Everyday Life AI Toolbox (Plug & Play)