Tesfagabir Meharizghi
83b72e1dda
* feat: Add Terraform basic-runtime pattern * Modified the Terraform basic-runtime with test script, README, default region * feat: Add Terraform mcp-server-runtime pattern * feat: Add Terraform multi-agent-runtime pattern * feat: Add Terraform end-to-end-weather-agent runtime pattern * Added Terraform main README * Fixed basic runtime test script * docs: add Terraform support to IaC README * Replaced resources to intuitive names, removed hardcoded values, cleaned README * Enhanced Terraform READMEs * Removed unused imports --------- Co-authored-by: Tesfagabir Meharizghi <mehariz@amazon.com>
37 lines
1.3 KiB
Plaintext
37 lines
1.3 KiB
Plaintext
# ============================================================================
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# End-to-End Weather Agent - Example Configuration
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# ============================================================================
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# Copy this file to terraform.tfvars and customize
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# Example: cp terraform.tfvars.example terraform.tfvars
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# Agent Configuration
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agent_name = "WeatherAgent"
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memory_name = "WeatherAgentMemory"
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stack_name = "agentcore-weather"
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# Network Configuration
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network_mode = "PUBLIC" # PUBLIC or PRIVATE
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# Container Configuration
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ecr_repository_name = "weather-agent"
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image_tag = "latest"
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# AWS Configuration
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aws_region = "us-west-2"
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environment = "dev"
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# Optional: Environment Variables (if needed for custom configurations)
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# environment_variables = {
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# LOG_LEVEL = "INFO"
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# }
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# Notes:
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# - Weather Agent: Full-featured agent with Browser, Code Interpreter, and Memory
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# - Browser Tool: Web scraping and data collection capability
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# - Code Interpreter: Python code execution for data analysis
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# - Memory: Persistent conversation memory with weather activity preferences
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# - S3 Results Bucket: Storage for agent-generated artifacts (charts, data files)
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# - Agent code in agent-code/ directory
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# - Memory initialized with activity preferences (good/ok/poor weather)
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# - Test with: python test_weather_agent.py
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