AWS成本优化代理

💬 "What were my AWS costs last month?"
💬 "Which services cost the most?"
💬 "Are there any unusual spending patterns?"
💬 "How can I reduce my AWS costs?"

pip install -r requirements.txt

cp .env.example .env
# Edit .env with your AWS credentials and LLM API key

python aws_cost_mcp_server.py

python agent_orchestrator.py "What were my AWS costs last month?"

graph LR
    A[👤 You Ask Question] --> B[🤖 AI Agent]
    B --> C{Choose LLM}
    C -->|FREE| D[🖥️ Ollama Local]
    C -->|Paid| E[☁️ GPT/Claude]
    B --> F[🔧 MCP Server]
    F --> G[☁️ AWS Cost API]
    G --> F
    F --> B
    D --> B
    E --> B
    B --> H[📊 Cost Report]
    
    style D fill:#90EE90
    style E fill:#87CEEB
    style G fill:#FFB366

# Install Ollama
# Download from https://ollama.ai/

# Pull model (one-time, 4GB)
ollama pull qwen2.5:latest

# Start Ollama
ollama serve

OPENAI_API_KEY=sk-proj-xxxxx
DEFAULT_LLM_PROVIDER=openai

from agent_orchestrator import AgentOrchestrator

agent = AgentOrchestrator()
response = agent.process_query("What were my total AWS costs for the last 30 days?")
print(response)
agent.close()

python agent_orchestrator.py "Which AWS services cost the most?"

python agent_orchestrator.py "What will my costs be next month?"

python agent_orchestrator.py "Generate a full cost report with optimization recommendations"

# Run all tests
pytest tests/

# Run with coverage
pytest tests/ --cov=.

# Run examples
python example_usage.py

{
  "Version": "2012-10-17",
  "Statement": [{
    "Effect": "Allow",
    "Action": [
      "ce:GetCostAndUsage",
      "ce:GetCostForecast",
      "ce:GetAnomalies",
      "ce:GetRightsizingRecommendation",
      "ce:GetSavingsPlansPurchaseRecommendation"
    ],
    "Resource": "*"
  }]
}

sre-project-3/
├── agent_orchestrator.py    # AI agent with LLM
├── aws_cost_mcp_server.py   # MCP server (Flask)
├── mcp_client.py             # MCP client
├── aws_cost_service.py       # AWS API wrapper
├── config.py                 # Configuration
├── requirements.txt          # Dependencies
├── .env.example              # Config template
├── example_usage.py          # Examples
└── tests/                    # Test suite