Add fast testing mode with public GHCR images (2-5 mins vs 10-15 mins)

.env.full

@@ -0,0 +1,71 @@
+# SRE Agent Full Configuration
+# This file contains all possible configuration options for production use
+# All features enabled - requires credentials for all services
+
+# ===== ESSENTIAL CREDENTIALS =====
+# Basic authentication token for API access
+DEV_BEARER_TOKEN=your_dev_token_here
+
+# Hugging Face token for Llama Firewall (REQUIRED)
+# Get from: https://huggingface.co/settings/tokens
+# Needs read access to meta-llama/Llama-Prompt-Guard-2-86M
+HF_TOKEN=your_hugging_face_token_here
+
+# LLM Provider Configuration
+PROVIDER=anthropic  # Options: anthropic, gemini, mock
+MODEL=claude-3-5-sonnet-20241022  # Your preferred model
+
+# LLM API Keys (provide the one matching your PROVIDER)
+ANTHROPIC_API_KEY=your_anthropic_api_key_here  # Required if PROVIDER=anthropic
+GEMINI_API_KEY=your_gemini_api_key_here        # Required if PROVIDER=gemini
+
+# ===== SLACK INTEGRATION =====
+# For sending notifications and alerts
+SLACK_BOT_TOKEN=your_slack_bot_token_here
+SLACK_TEAM_ID=your_slack_team_id_here
+SLACK_SIGNING_SECRET=your_slack_signing_secret_here
+SLACK_CHANNEL_ID=your_slack_channel_id_here
+
+# ===== GITHUB INTEGRATION =====
+# For repository access and code analysis
+GITHUB_PERSONAL_ACCESS_TOKEN=your_github_token_here
+GITHUB_ORGANISATION=your_org_name
+GITHUB_REPO_NAME=your_repo_name
+PROJECT_ROOT=src  # Root directory of your project
+
+# ===== KUBERNETES INTEGRATION =====
+# Choose AWS (EKS) OR GCP (GKE) - not both
+
+# AWS EKS Configuration
+AWS_REGION=us-east-1
+AWS_ACCOUNT_ID=your_aws_account_id
+TARGET_EKS_CLUSTER_NAME=your_eks_cluster_name
+
+# GCP GKE Configuration (alternative to AWS)
+# CLOUDSDK_CORE_PROJECT=your_gcp_project_id
+# CLOUDSDK_COMPUTE_REGION=us-central1
+# TARGET_GKE_CLUSTER_NAME=your_gke_cluster_name
+
+# ===== SERVICE CONFIGURATION =====
+# Services running on your cluster (customize for your setup)
+SERVICES=["cartservice", "adservice", "emailservice", "frontend", "checkoutservice"]
+
+# Tools available to the agent
+TOOLS=["list_pods", "get_logs", "get_file_contents", "slack_post_message", "create_github_issue"]
+
+# ===== PERFORMANCE SETTINGS =====
+# Maximum tokens the LLM can generate
+MAX_TOKENS=10000
+
+# Query timeout in seconds
+QUERY_TIMEOUT=300
+
+# ===== USAGE =====
+# 1. Replace all placeholder values with your actual credentials
+# 2. Generate this file with: uv run python setup_credentials.py --mode full
+# 3. Choose either AWS or GCP configuration (comment out the unused one)
+# 4. Customize SERVICES and TOOLS for your environment
+# 5. Start with:
+#    - AWS: docker compose -f compose.aws.yaml up
+#    - GCP: docker compose -f compose.gcp.yaml up
+# 6. Access the API at http://localhost:8003

.env.minimal

@@ -0,0 +1,59 @@
+# SRE Agent Minimal Configuration
+# This file contains only the essential credentials needed for basic functionality
+# Requires real API keys for LLM provider
+
+# ===== ESSENTIAL CREDENTIALS =====
+# Basic authentication token for API access
+DEV_BEARER_TOKEN=your_dev_token_here
+
+# Hugging Face token for Llama Firewall (REQUIRED)
+# Get from: https://huggingface.co/settings/tokens
+# Needs read access to meta-llama/Llama-Prompt-Guard-2-86M
+HF_TOKEN=your_hugging_face_token_here
+
+# LLM Provider Configuration
+PROVIDER=anthropic  # or "gemini"
+MODEL=claude-3-5-sonnet-20241022  # or your preferred model
+
+# LLM API Keys (provide the one matching your PROVIDER)
+ANTHROPIC_API_KEY=your_anthropic_api_key_here  # Required if PROVIDER=anthropic
+GEMINI_API_KEY=your_gemini_api_key_here        # Required if PROVIDER=gemini
+
+# ===== DEFAULT CONFIGURATION =====
+# Service configuration (minimal defaults)
+SERVICES=["cartservice", "adservice", "emailservice"]
+TOOLS=["list_pods", "get_logs", "get_file_contents", "slack_post_message"]
+
+# GitHub repository defaults (for prompt server)
+GITHUB_ORGANISATION=fuzzylabs
+GITHUB_REPO_NAME=microservices-demo
+PROJECT_ROOT=src
+
+# Timeouts and limits
+MAX_TOKENS=10000
+QUERY_TIMEOUT=300
+
+# ===== DISABLED FEATURES =====
+# These features are not configured in minimal mode
+# Slack notifications - disabled
+SLACK_BOT_TOKEN=null
+SLACK_TEAM_ID=null
+SLACK_SIGNING_SECRET=null
+SLACK_CHANNEL_ID=null
+
+# GitHub integration - disabled  
+GITHUB_PERSONAL_ACCESS_TOKEN=null
+
+# Kubernetes integration - not configured
+# You'll need to add these manually if you want K8s integration:
+# AWS_REGION=us-east-1
+# TARGET_EKS_CLUSTER_NAME=your_cluster_name
+# or
+# CLOUDSDK_CORE_PROJECT=your_project_id
+# TARGET_GKE_CLUSTER_NAME=your_cluster_name
+
+# ===== USAGE =====
+# 1. Replace placeholder values with your actual credentials
+# 2. Generate this file with: uv run python setup_credentials.py --mode minimal
+# 3. Start with: docker compose -f compose.aws.yaml up (or compose.gcp.yaml)
+# 4. Some features (Slack, GitHub, K8s) will be disabled but core functionality works

.env.testing

@@ -0,0 +1,48 @@
+# SRE Agent Testing Configuration
+# This file contains the minimal configuration needed for testing with mock services
+# No real API keys required - everything uses mock implementations
+
+# ===== ESSENTIAL CREDENTIALS =====
+# Basic authentication token (can be any value for testing)
+DEV_BEARER_TOKEN=dev-token-123
+
+# Hugging Face token for Llama Firewall (REQUIRED - get from https://huggingface.co/settings/tokens)
+# This is the only real API key needed for testing
+HF_TOKEN=your_hugging_face_token_here
+
+# LLM Provider Configuration (mock = no real LLM calls)
+PROVIDER=mock
+MODEL=mock-model
+
+# Mock LLM credentials (not used but may be required by validation)
+ANTHROPIC_API_KEY=null
+GEMINI_API_KEY=null
+
+# ===== DEFAULT CONFIGURATION =====
+# GitHub repository defaults (for prompt server)
+GITHUB_ORGANISATION=fuzzylabs
+GITHUB_REPO_NAME=microservices-demo
+PROJECT_ROOT=src
+
+# Service configuration defaults
+SERVICES=["cartservice", "adservice", "emailservice"]
+TOOLS=["list_pods", "get_logs", "get_file_contents", "slack_post_message"]
+
+# Timeouts and limits
+MAX_TOKENS=10000
+QUERY_TIMEOUT=300
+
+# Slack configuration (disabled for testing)
+SLACK_BOT_TOKEN=null
+SLACK_TEAM_ID=null
+SLACK_SIGNING_SECRET=null
+SLACK_CHANNEL_ID=null
+
+# GitHub integration (disabled for testing)
+GITHUB_PERSONAL_ACCESS_TOKEN=null
+
+# ===== USAGE =====
+# 1. Set your HF_TOKEN above (the only real credential needed)
+# 2. Generate this file with: uv run python setup_credentials.py --mode testing
+# 3. Start the testing environment with: docker compose -f compose.tests.yaml up --build
+#    (Note: First build takes ~10-15 minutes, subsequent starts are much faster)

.github/workflows/build-push-images.yml

@@ -4,10 +4,13 @@ on:
   push:
     branches:
       - main
+  release:
+    types: [published]
 
 permissions:
   id-token: write
   contents: read
+  packages: write
 
 jobs:
   build-and-push:
@@ -57,10 +60,32 @@ jobs:
         id: login-ecr
         uses: aws-actions/amazon-ecr-login@v2
 
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract metadata
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: |
+            ${{ steps.login-ecr.outputs.registry }}/mcp/${{ matrix.name }}
+            ghcr.io/fuzzylabs/sre-agent-${{ matrix.name }}
+          tags: |
+            type=ref,event=branch
+            type=ref,event=pr
+            type=semver,pattern={{version}}
+            type=semver,pattern={{major}}.{{minor}}
+            type=raw,value=latest,enable={{is_default_branch}}
+
       - name: Build and Push ${{ matrix.name }}
         uses: docker/build-push-action@v6
         with:
           context: ${{ matrix.context }}
           file: ${{ matrix.dockerfile }}
           push: true
-          tags: ${{ steps.login-ecr.outputs.registry }}/mcp/${{ matrix.name }}:latest
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}