Imported from jeremylongshore/tons-of-skills-marketplace (plugins/saas-packs/castai-pack/skills/castai-ci-integration/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-ci-integration. Copyright stays with the author (MIT).

CAST AI CI Integration

Overview

Add CAST AI cost validation to CI/CD pipelines: verify savings thresholds, validate Terraform plans before apply, and gate deployments on autoscaler health.

Prerequisites

• GitHub Actions enabled
• CAST AI API key stored as repository secret
• Terraform state accessible from CI (if using Terraform)

Instructions

Step 1: GitHub Actions -- Savings Gate

# .github/workflows/castai-check.yml
name: CAST AI Cost Check

on:
  pull_request:
    paths: ["terraform/**", "k8s/**"]
  schedule:
    - cron: "0 8 * * 1"  # Weekly Monday report

jobs:
  cost-check:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Check CAST AI Savings
        env:
          CASTAI_API_KEY: ${{ secrets.CASTAI_API_KEY }}
          CASTAI_CLUSTER_ID: ${{ secrets.CASTAI_CLUSTER_ID }}
        run: |
          SAVINGS=$(curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
            "https://api.cast.ai/v1/kubernetes/clusters/${CASTAI_CLUSTER_ID}/savings")

          PERCENT=$(echo "$SAVINGS" | jq -r '.savingsPercentage')
          MONTHLY=$(echo "$SAVINGS" | jq -r '.monthlySavings')

          echo "### CAST AI Savings Report" >> $GITHUB_STEP_SUMMARY
          echo "- Monthly savings: \$${MONTHLY}" >> $GITHUB_STEP_SUMMARY
          echo "- Savings percentage: ${PERCENT}%" >> $GITHUB_STEP_SUMMARY

          # Fail if savings drop below threshold
          if (( $(echo "$PERCENT < 10" | bc -l) )); then
            echo "WARNING: Savings below 10% threshold"
            exit 1
          fi

      - name: Verify Agent Health
        env:
          CASTAI_API_KEY: ${{ secrets.CASTAI_API_KEY }}
          CASTAI_CLUSTER_ID: ${{ secrets.CASTAI_CLUSTER_ID }}
        run: |
          STATUS=$(curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
            "https://api.cast.ai/v1/kubernetes/external-clusters/${CASTAI_CLUSTER_ID}" \
            | jq -r '.agentStatus')

          if [ "$STATUS" != "online" ]; then
            echo "CAST AI agent is ${STATUS}, expected online"
            exit 1
          fi

Step 2: Terraform Plan Validation

  terraform-plan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: hashicorp/setup-terraform@v3

      - name: Terraform Init & Plan
        working-directory: terraform/
        env:
          CASTAI_API_TOKEN: ${{ secrets.CASTAI_API_KEY }}
        run: |
          terraform init
          terraform plan -var-file=environments/prod.tfvars \
            -out=plan.tfplan -no-color | tee plan-output.txt

      - name: Check for Destructive Changes
        run: |
          if grep -q "will be destroyed" terraform/plan-output.txt; then
            echo "DESTRUCTIVE CHANGES DETECTED in CAST AI resources"
            exit 1
          fi

Step 3: Store Secrets

gh secret set CASTAI_API_KEY --body "your-api-key"
gh secret set CASTAI_CLUSTER_ID --body "your-cluster-id"

Error Handling

Output

The CI run publishes a redacted plan summary, agent-health decision, destructive-change result, immutable run URL, and named approver for any production promotion. Secrets remain in the CI secret store, are masked in logs, and are unavailable to untrusted pull-request code or forked workflows.

Examples

On a protected branch, run the plan with a scoped staging credential and fail when the parsed plan contains destructive changes or the agent is offline. Upload only the redacted plan artifact; require an environment approval before any apply job, and cancel the deployment when the approval or freshness window expires.

Resources

• GitHub Actions Secrets
• CAST AI API Reference

Next Steps

For deployment patterns, see castai-deploy-integration.