castai-ci-integration

Integrate CAST AI policy validation and cost checks into CI/CD pipelines. Use when adding CAST AI savings verification to GitHub Actions, validating Terraform plans, or gating deployments on cost thresholds. Trigger with phrases like "cast ai CI", "cast ai github actions", "cast ai terraform CI", "cast ai pipeline".

Allowed Tools

ReadWriteEditBash(gh:*)

Provided by Plugin

castai-pack

Claude Code skill pack for Cast AI (18 skills)

saas packs v1.4.0
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Installation

This skill is included in the castai-pack plugin:

/plugin install castai-pack@claude-code-plugins-plus

Click to copy

Instructions

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

Issue Cause Solution
Secret not found Missing gh secret set Add secrets to repo
Savings check fails Cluster not onboarded Verify cluster ID is correct
Terraform init fails State backend misconfigured Check backend config
Agent offline in CI Key scope mismatch Use production API key

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

Next Steps

For deployment patterns, see castai-deploy-integration.

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