amazon-bedrock-agentcore-sa.../02-use-cases/SRE-agent/Dockerfile

# Use uv's ARM64 Python base image
FROM --platform=linux/arm64 ghcr.io/astral-sh/uv:python3.12-bookworm-slim

WORKDIR /app

# Copy uv files
COPY pyproject.toml uv.lock ./

# Install dependencies
RUN uv sync --frozen --no-dev

# Copy SRE agent module
COPY sre_agent/ ./sre_agent/

# Set environment variables
# Note: Set DEBUG=true to enable debug logging and traces
ENV PYTHONPATH="/app" \
    PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1

# Expose port
EXPOSE 8080

# Run application with OpenTelemetry instrumentation
CMD ["uv", "run", "opentelemetry-instrument", "uvicorn", "sre_agent.agent_runtime:app", "--host", "0.0.0.0", "--port", "8080"]
fix(SRE Agent)- Deploy SRE Agent on Amazon Bedrock AgentCore Runtime with Enhanced Architecture (#158) * feat: Deploy SRE agent on Amazon Bedrock AgentCore Runtime - Add agent_runtime.py with FastAPI endpoints for AgentCore compatibility - Create Dockerfile for ARM64-based containerization - Add deployment scripts for automated ECR push and AgentCore deployment - Update backend API URLs from placeholders to actual endpoints - Update gateway configuration for production use - Add dependencies for AgentCore runtime support Implements #143 * chore: Add deployment artifacts to .gitignore - Add deployment/.sre_agent_uri, deployment/.env, and deployment/.agent_arn to .gitignore - Remove already tracked deployment artifacts from git * feat: Make ANTHROPIC_API_KEY optional in deployment - Update deploy_agent_runtime.py to conditionally include ANTHROPIC_API_KEY - Show info message when using Amazon Bedrock as provider - Update .env.example to clarify ANTHROPIC_API_KEY is optional - Only include ANTHROPIC_API_KEY in environment variables if it exists * fix: Use uv run python instead of python in build script - Update build_and_deploy.sh to use 'uv run python' for deployment - Change to parent directory to ensure uv environment is available - Fixes 'python: command not found' error during deployment * refactor: Improve deployment script structure and create .env symlink - Flatten nested if-else blocks in deploy_agent_runtime.py for better readability - Add 10-second sleep after deletion to ensure cleanup completes - Create symlink from deployment/.env to sre_agent/.env to avoid duplication - Move time import to top of file with other imports * feat: Add debug mode support and comprehensive deployment guide Add --debug command line flag and DEBUG environment variable support: - Created shared logging configuration module - Updated CLI and runtime to support --debug flag - Made debug traces conditional on DEBUG environment variable - Added debug mode for container and AgentCore deployments Enhanced build and deployment script: - Added command line argument for ECR repository name - Added help documentation and usage examples - Added support for local builds (x86_64) vs AgentCore builds (arm64) - Added environment variable pass-through for DEBUG, LLM_PROVIDER, ANTHROPIC_API_KEY Created comprehensive deployment guide: - Step-by-step instructions from local testing to production - Docker platform documentation (x86_64 vs arm64) - Environment variable configuration with .env file usage - Debug mode examples and troubleshooting guide - Provider configuration for Bedrock and Anthropic Updated README with AgentCore Runtime deployment section and documentation links. * docs: Update SRE Agent README with deployment flow diagram and fix directory reference - Fix reference from 04-SRE-agent to SRE-agent in README - Add comprehensive flowchart showing development to production deployment flow - Update overview to mention Amazon Bedrock AgentCore Runtime deployment - Remove emojis from documentation for professional appearance * docs: Replace mermaid diagram with ASCII step-by-step flow diagram - Change from block-style mermaid diagram to ASCII flow diagram - Show clear step-by-step progression from development to production - Improve readability with structured boxes and arrows - Minor text improvements for clarity * feat: Implement comprehensive prompt management system and enhance deployment guide - Create centralized prompt template system with external files in config/prompts/ - Add PromptLoader utility class with LRU caching and template variable substitution - Integrate PromptConfig into SREConstants for centralized configuration management - Update all agents (nodes, supervisor, output_formatter) to use prompt loader - Replace 150+ lines of hardcoded prompts with modular, maintainable template system - Enhance deployment guide with consistent naming (my_custom_sre_agent) throughout - Add quick-start copy-paste command sequence for streamlined deployment - Improve constants system with comprehensive model, AWS, timeout, and prompt configs - Add architectural assessment document to .gitignore for local analysis - Run black formatting across all updated Python files * docs: Consolidate deployment and security documentation - Rename deployment-and-security.md to security.md and remove redundant deployment content - Enhance security.md with comprehensive production security guidelines including: - Authentication and authorization best practices - Encryption and data protection requirements - Operational security monitoring and logging - Input validation and prompt security measures - Infrastructure security recommendations - Compliance and governance frameworks - Update README.md to reference new security.md file - Eliminate redundancy between deployment-guide.md and deployment-and-security.md - Improve documentation organization with clear separation of concerns * config: Replace hardcoded endpoints with placeholder domains - Update OpenAPI specifications to use placeholder domain 'your-backend-domain.com' - k8s_api.yaml: mcpgateway.ddns.net:8011 -> your-backend-domain.com:8011 - logs_api.yaml: mcpgateway.ddns.net:8012 -> your-backend-domain.com:8012 - metrics_api.yaml: mcpgateway.ddns.net:8013 -> your-backend-domain.com:8013 - runbooks_api.yaml: mcpgateway.ddns.net:8014 -> your-backend-domain.com:8014 - Update agent configuration to use placeholder AgentCore gateway endpoint - agent_config.yaml: Replace specific gateway ID with 'your-agentcore-gateway-endpoint' - Improve security by removing hardcoded production endpoints from repository - Enable template-based configuration that users can customize during setup - Align with existing documentation patterns for placeholder domain replacement 2025-07-27 15:05:03 -04:00			`# Use uv's ARM64 Python base image`
			`FROM --platform=linux/arm64 ghcr.io/astral-sh/uv:python3.12-bookworm-slim`

			`WORKDIR /app`

			`# Copy uv files`
			`COPY pyproject.toml uv.lock ./`

			`# Install dependencies`
			`RUN uv sync --frozen --no-dev`

			`# Copy SRE agent module`
			`COPY sre_agent/ ./sre_agent/`

			`# Set environment variables`
			`# Note: Set DEBUG=true to enable debug logging and traces`
			`ENV PYTHONPATH="/app" \`
			`PYTHONDONTWRITEBYTECODE=1 \`
			`PYTHONUNBUFFERED=1`

			`# Expose port`
			`EXPOSE 8080`

feat(02-usecases): add observability support and documentation improvements (#220) * feat(sre-agent): add OpenTelemetry observability and tracing - Add OpenTelemetry tracing to supervisor and memory tools - Configure OTEL collector with Jaeger backend via docker-compose - Add trace context propagation between supervisor and workers - Include run-with-tracing.sh helper script for easy tracing setup - Update blog post with comprehensive observability section - Add presentation slides for SRE agent capabilities * docs(sre-agent): replace mermaid diagram with architecture image - Replace inline mermaid diagram with external architecture PNG image - Add detailed component descriptions for AgentCore integration - Image shows complete flow from customer to AgentCore services * feat(sre-agent): add assets table with demo video and AI podcast links - Add assets section with clickable links to demo video and AI-generated podcast - Include descriptions for each asset to help users understand the content - Position table prominently after the use case details for visibility * docs(sre-agent): update blog post with latest code snippets and improvements - Update Dockerfile snippet to include OpenTelemetry instrumentation - Update invoke_agent_runtime.py snippet with timeout config and memory personalization - Remove verbose real-time agent execution traces section while keeping key insights - Simplify cleanup section to show only essential command - Ensure all code snippets match latest implementation * style(sre-agent): apply ruff formatting to Python files - Format code with ruff formatter for consistent style - Fix whitespace and indentation issues - Apply standard Python formatting conventions - Ensure code adheres to project style guidelines * chore(sre-agent): remove slide files from docs - Remove presentation slide markdown files - Clean up docs directory structure 2025-08-08 09:22:15 -04:00			`# Run application with OpenTelemetry instrumentation`
			`CMD ["uv", "run", "opentelemetry-instrument", "uvicorn", "sre_agent.agent_runtime:app", "--host", "0.0.0.0", "--port", "8080"]`