Terraform Stacks
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AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Terraform Stacks provides a declarative orchestration layer above traditional Terraform modules, enabling the management of complex infrastructure across multiple environments, regions, and cloud accounts. It introduces a specialized HCL-based configuration language using .tfcomponent.hcl and .tfdeploy.hcl files to define components, providers, and deployment instances. This skill covers the full lifecycle of Stacks, including configuration, dependency management, provider configuration, and deployment monitoring via the CLI or HCP Terraform API.
What it does
- Defines infrastructure units as components referencing local, registry, or Git-based modules.
- Orchestrates multi-region and multi-environment deployments within a single Stack.
- Manages provider configurations with support for for_each and workload identity authentication.
- Links multiple Stacks together using published outputs and upstream inputs.
- Automates deployment workflows and monitoring through HCP Terraform integration.
- Provides patterns for safe component removal and deferred changes.
When to use it
- When you need to manage complex, multi-component infrastructure at scale.
- When you require consistent infrastructure deployments across multiple environments or regions.
- When you want to move beyond individual Terraform modules to a higher-level orchestration layer.
- When implementing OIDC-based workload identity for secure, temporary cloud credentials.
- When you need to link separate infrastructure stacks together in a dependency chain.
Advantages
- Simplifies management of large-scale infrastructure by grouping related components.
- Reduces reliance on long-lived static credentials through native workload identity support.
- Provides clear separation between component definitions and deployment-specific inputs.
- Enables automated deployment pipelines with built-in dependency inference.
- Supports advanced patterns like multi-region deployments and cross-stack output sharing.
Usage examples
- “How do I define a component in a Terraform Stack that uses a module from the public registry?”
- The agent provides a component block example using the source argument with the registry path, specifying inputs and mapping providers.
- “What is the best way to handle AWS credentials in a Stack without using static keys?”
- The agent explains the workload identity pattern, showing how to configure an identity_token block and use assume_role_with_web_identity in the provider config.
- “How can I monitor the status of a deployment run programmatically?”
- The agent provides the API endpoints for retrieving deployment group summaries and run status, including the necessary headers for authentication.
- “How do I remove a component from an existing Stack?”
- The agent details the use of the removed block, explaining that it requires the component's providers to be defined to safely process the removal.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/hashicorp/terraform-stacks/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip terraform-stacks.zip -d .agents/skills
Documentation by HashiCorp
Terraform Stacks
Terraform Stacks simplify infrastructure provisioning and management at scale by providing a configuration layer above traditional Terraform modules. Stacks enable declarative orchestration of multiple components across environments, regions, and cloud accounts.
Core Concepts
Stack: A complete unit of infrastructure composed of components and deployments that can be managed together.
Component: An abstraction around a Terraform module that defines infrastructure pieces. Each component specifies a source module, inputs, and providers.
Deployment: An instance of all components in a stack with specific input values. Use deployments for different environments (dev/staging/prod), regions, or cloud accounts.
Stack Language: A separate HCL-based language (not regular Terraform HCL) with distinct blocks and file extensions.
File Structure
Terraform Stacks use specific file extensions:
Component configuration:
.tfcomponent.hclDeployment configuration:
.tfdeploy.hclProvider lock file:
.terraform.lock.hcl(generated by CLI)
All configuration files must be at the root level of the Stack repository. HCP Terraform processes all files in dependency order.
Recommended File Organization
my-stack/
├── .terraform-version # The required Terraform version for this Stack
├── variables.tfcomponent.hcl # Variable declarations
├── providers.tfcomponent.hcl # Provider configurations
├── components.tfcomponent.hcl # Component definitions
├── outputs.tfcomponent.hcl # Stack outputs
├── deployments.tfdeploy.hcl # Deployment definitions
├── .terraform.lock.hcl # Provider lock file (generated)
└── modules/ # Local modules (optional - only if using local modules)
├── s3/
└── compute/Note: The modules/ directory is only required when using local module sources. Components can reference modules from:
Local file paths:
./modules/vpcPublic registry:
terraform-aws-modules/vpc/awsPrivate registry:
app.terraform.io/<org-name>/vpc/awsGit:
git::https://github.com/org/repo.git//path?ref=v1.0.0
HCP Terraform processes all .tfcomponent.hcl and .tfdeploy.hcl files in dependency order.
Required Terraform version (.terraform-version)
Use Terraform v1.13.x or later to access the Stacks CLI plugin and to run terraform stacks CLI commands. Begin by adding a .terraform-version file to your Stack's root directory to specify the Terraform version required for your Stack. For example, the following file specifies Terraform v1.14.5:
1.14.5Component Configuration (.tfcomponent.hcl)
Variable Block
Declare input variables for the Stack configuration. Variables must define a type field and do not support the validation argument.
variable "aws_region" {
type = string
description = "AWS region for deployments"
default = "us-west-1"
}
variable "identity_token" {
type = string
description = "OIDC identity token"
ephemeral = true # Does not persist to state file
}
variable "instance_count" {
type = number
nullable = false
}Important: Use ephemeral = true for credentials and tokens (identity tokens, API keys, passwords) to prevent them from persisting in state files. Use stable for longer-lived values like license keys that need to persist across runs.
Required Providers Block
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 6.0"
}
random = {
source = "hashicorp/random"
version = "~> 3.5.0"
}
}Provider Block
Provider blocks differ from traditional Terraform:
Support
for_eachmeta-argumentDefine aliases in the block header (not as an argument)
Accept configuration through a
configblock
Single Provider Configuration:
provider "aws" "this" {
config {
region = var.aws_region
assume_role_with_web_identity {
role_arn = var.role_arn
web_identity_token = var.identity_token
}
}
}Multiple Provider Configurations with for_each:
provider "aws" "configurations" {
for_each = var.regions
config {
region = each.value
assume_role_with_web_identity {
role_arn = var.role_arn
web_identity_token = var.identity_token
}
}
}Authentication Best Practice: Use workload identity (OIDC) as the preferred authentication method for Stacks. This approach:
Avoids long-lived static credentials
Provides temporary, scoped credentials per deployment run
Integrates with cloud provider IAM (AWS IAM Roles, Azure Managed Identities, GCP Service Accounts)
Eliminates need for platform-managed environment variables
Configure workload identity using identity_token blocks and assume_role_with_web_identity in provider configuration. For detailed setup instructions for AWS, Azure, and GCP, see: https://developer.hashicorp.com/terraform/cloud-docs/dynamic-provider-credentials
Component Block
Each Stack requires at least one component block. Add a component for each module to include in the Stack. Components reference modules from local paths, registries, or Git.
component "vpc" {
source = "app.terraform.io/my-org/vpc/aws" # Local, registry, or Git URL
version = "2.1.0" # For registry modules
inputs = {
cidr_block = var.vpc_cidr
name_prefix = var.name_prefix
}
providers = {
aws = provider.aws.this
}
}See references/component-blocks.md for examples of dependencies, for_each, public registry modules, Git sources, and more.
Key Points:
Reference outputs:
component.<name>.<output>orcomponent.<name>[key].<output>for for_eachDependencies inferred automatically from component references
Aggregate with for expressions:
[for x in component.s3 : x.bucket_name]For components with
for_each, reference specific instances:component.<name>[each.value].<output>Provider references are normal values:
provider.<type>.<alias>orprovider.<type>.<alias>[each.value]
Output Block
Outputs require a type argument and do not support preconditions:
output "vpc_id" {
type = string
description = "VPC ID"
value = component.vpc.vpc_id
}
output "endpoint_urls" {
type = map(string)
value = {
for region, comp in component.api : region => comp.endpoint_url
}
sensitive = false
}Locals Block
Locals blocks work the same in both .tfcomponent.hcl and .tfdeploy.hcl files:
locals {
common_tags = {
Environment = var.environment
ManagedBy = "Terraform Stacks"
Project = var.project_name
}
region_config = {
for region in var.regions : region => {
name_suffix = "${var.environment}-${region}"
}
}
}Removed Block
Use to safely remove components from a Stack. HCP Terraform requires the component's providers to remove it.
removed {
from = component.old_component
source = "./modules/old-module"
providers = {
aws = provider.aws.this
}
}Deployment Configuration (.tfdeploy.hcl)
Identity Token Block
Generate JWT tokens for OIDC authentication with cloud providers:
identity_token "aws" {
audience = ["aws.workload.identity"]
}
identity_token "azure" {
audience = ["api://AzureADTokenExchange"]
}Reference tokens in deployments using identity_token.<name>.jwt
Store Block
Access HCP Terraform variable sets within Stack deployments:
store "varset" "aws_credentials" {
id = "varset-ABC123" # Alternatively use: name = "varset_name"
source = "tfc-cloud-shared"
category = "terraform" # Alternatively use: category = "env" for environment variables
}
deployment "production" {
inputs = {
aws_access_key = store.varset.aws_credentials.AWS_ACCESS_KEY_ID
}
}Use to centralize credentials and share variables across Stacks. See references/deployment-blocks.md for details.
Deployment Block
Define deployment instances (minimum 1, maximum 20 per Stack):
deployment "production" {
inputs = {
aws_region = "us-west-1"
instance_count = 3
role_arn = local.role_arn
identity_token = identity_token.aws.jwt
}
}
# Create multiple deployments for different environments
deployment "development" {
inputs = {
aws_region = "us-east-1"
instance_count = 1
name_suffix = "dev"
role_arn = local.role_arn
identity_token = identity_token.aws.jwt
}
}To destroy a deployment: Set destroy = true, upload configuration, approve destroy run, then remove the deployment block. See references/deployment-blocks.md for details.
Deployment Group Block
Group deployments together for shared settings (HCP Terraform Premium tier feature). Free/standard tiers use default groups named {deployment-name}_default.
deployment_group "canary" {
auto_approve_checks = [deployment_auto_approve.safe_changes]
}
deployment "dev" {
inputs = { /* ... */ }
deployment_group = deployment_group.canary
}Multiple deployments can reference the same group. See references/deployment-blocks.md for details.
Deployment Auto-Approve Block
Define rules to automatically approve deployment plans (HCP Terraform Premium tier feature):
deployment_auto_approve "safe_changes" {
deployment_group = deployment_group.canary
check {
condition = context.plan.changes.remove == 0
reason = "Cannot auto-approve plans with resource deletions"
}
}Available context variables: context.plan.applyable, context.plan.changes.add/change/remove/total, context.success
Note: orchestrate blocks are deprecated. Use deployment_group and deployment_auto_approve instead.
See references/deployment-blocks.md for all context variables and patterns.
Publish Output and Upstream Input Blocks
Link Stacks together by publishing outputs from one Stack and consuming them in another:
# In network Stack - publish outputs
publish_output "vpc_id_network" {
type = string
value = deployment.network.vpc_id
}
# In application Stack - consume outputs
upstream_input "network_stack" {
type = "stack"
source = "app.terraform.io/my-org/my-project/networking-stack"
}
deployment "app" {
inputs = {
vpc_id = upstream_input.network_stack.vpc_id_network
}
}See references/linked-stacks.md for complete documentation and examples.
Terraform Stacks CLI
Note: Terraform Stacks is Generally Available (GA) as of Terraform CLI v1.13+. Stacks now count toward Resources Under Management (RUM) for HCP Terraform billing.
Initialize and Validate
terraform stacks init # Download providers, modules, generate lock file
terraform stacks providers-lock # Regenerate lock file (add platforms if needed)
terraform stacks validate # Check syntax without uploadingDeployment Workflow
Important: No plan or apply commands. Upload configuration triggers deployment runs automatically.
# 1. Upload configuration (triggers deployment runs)
terraform stacks configuration upload
# 2. Monitor deployments
terraform stacks deployment-run list # List runs (non-interactive)
terraform stacks deployment-group watch -deployment-group=... # Stream status updates
# 3. Approve deployments (if auto-approve not configured)
terraform stacks deployment-run approve-all-plans -deployment-run-id=...
terraform stacks deployment-group approve-all-plans -deployment-group=...
terraform stacks deployment-run cancel -deployment-run-id=... # Cancel if neededConfiguration Management
terraform stacks configuration list # List configuration versions
terraform stacks configuration fetch -configuration-id=... # Download configuration
terraform stacks configuration watch # Monitor upload statusOther Commands
terraform stacks create # Create new Stack (interactive)
terraform stacks fmt # Format Stack files
terraform stacks list # Show all Stacks
terraform stacks version # Display version
terraform stacks deployment-group rerun -deployment-group=... # Rerun deploymentMonitoring Deployments with HCP Terraform API
For programmatic monitoring in automation, CI/CD, or non-interactive environments (like AI agents), use the HCP Terraform API instead of CLI watch commands. The API provides endpoints for:
Configuration status and validation
Deployment group summaries
Deployment run status
Deployment step details (plan/apply)
Error diagnostics with file locations and code snippets
Stack outputs via artifacts endpoint
Key points:
CLI watch commands stream indefinitely and don't work in automation
Use artifacts endpoint to retrieve Stack outputs:
GET /api/v2/stack-deployment-steps/{step-id}/artifacts?name=apply-descriptionDiagnostics endpoint requires
stack_deployment_step_idquery parameterArtifacts endpoint returns HTTP 307 redirect (use
curl -L)
For complete API workflow, authentication, polling best practices, and example scripts, see references/api-monitoring.md.
Common Patterns
Component Dependencies: Dependencies are automatically inferred when one component references another's output (e.g., subnet_ids = component.vpc.private_subnet_ids).
Multi-Region Deployment: Use for_each on providers and components to deploy across multiple regions. Each region gets its own provider configuration and component instances.
Deferred Changes: Stacks support deferred changes to handle dependencies where values are only known after apply. This enables complex multi-component deployments where some resources depend on runtime values from other components (cluster endpoints, generated passwords, etc.).
For complete examples including multi-region deployments, component dependencies, deferred changes patterns, and linked Stacks, see references/examples.md.
Best Practices
Component Granularity: Create components for logical infrastructure units that share a lifecycle
Module Compatibility:
Modules used with Stacks cannot include provider blocks (configure providers in Stack configuration)
Test public registry modules before using in production Stacks - some modules may have compatibility issues
Consider using raw resources for critical infrastructure if module compatibility is uncertain
Example: Some terraform-aws-modules versions have been found to have compatibility issues with Stacks (e.g., ALB and ECS modules)
State Isolation: Each deployment has its own isolated state
Input Variables: Use variables for values that differ across deployments; use locals for shared values
Provider Lock Files: Always generate and commit
.terraform.lock.hclto version controlNaming Conventions: Use descriptive names for components and deployments
Deployment Groups: You can organize deployments into deployment groups. Deployment groups enable auto-approval rules, logical organization, and provide a foundation for scaling. Deployment groups are an HCP Terraform Premium tier feature
Testing: Test Stack configurations in dev/staging deployments before production
Troubleshooting
Circular Dependencies: Refactor to break circular references or use intermediate components.
Deployment Destruction: Cannot destroy from UI. Set destroy = true in deployment block, upload configuration, and HCP Terraform creates a destroy run.
Empty Diagnostics: Add required stack_deployment_step_id query parameter to diagnostics API requests.
Module Compatibility: Test public registry modules before production use. Some modules may have compatibility issues with Stacks.
References
For detailed documentation, see:
references/component-blocks.md- Complete component block reference with all arguments and syntaxreferences/deployment-blocks.md- Complete deployment block reference with all configuration optionsreferences/linked-stacks.md- Publish outputs and upstream inputs for linking Stacks togetherreferences/examples.md- Complete working examples for multi-region and component dependenciesreferences/api-monitoring.md- Full API workflow for programmatic monitoring and automationreferences/troubleshooting.md- Detailed troubleshooting guide for common issues and solutions
Files
- ATTRIBUTION.mdAdded by AutoGineer900 B
- LICENSELicence file added by AutoGineer16.3 KiB
- SKILL.md16.9 KiB
- references/api-monitoring.md16.2 KiB
- references/component-blocks.md9.9 KiB
- references/deployment-blocks.md8.7 KiB
- references/examples.md30.0 KiB
- references/linked-stacks.md4.2 KiB
- references/troubleshooting.md16.3 KiB
references/api-monitoring.md
API Monitoring Reference
Complete guide for monitoring Terraform Stack deployments using the HCP Terraform API. Use this approach for automation, CI/CD pipelines, and non-interactive environments like AI agents.
Table of Contents
When to Use the API
Authentication
API Monitoring Workflow
Detailed Endpoint Reference
Notes for AI Agents and Automation
When to Use the API
Use the HCP Terraform API instead of CLI commands when:
Running in non-interactive environments (CI/CD, automation scripts)
Building tools or integrations that need programmatic access
Monitoring multiple Stacks simultaneously
Implementing custom retry logic or error handling
Working in environments where streaming CLI commands don't work
CLI commands that don't work in automation:
terraform stacks deployment-run watch- Streams output, blocks indefinitelyterraform stacks deployment-group watch- Streams output, blocks indefinitelyterraform stacks configuration watch- Streams output, blocks indefinitely
Authentication
Extract API Token from Credentials File
TOKEN=$(jq -r '.credentials["app.terraform.io"].token' ~/.terraform.d/credentials.tfrc.json)Alternative: Use Environment Variable
export TFC_TOKEN="your-token-here"
TOKEN=$TFC_TOKENAPI Request Headers
All API requests require these headers:
-H "Authorization: Bearer $TOKEN"
-H "Content-Type: application/vnd.api+json"API Monitoring Workflow
After uploading a configuration with terraform stacks configuration upload, follow this sequence to monitor deployment progress:
Step 1: Get Configuration Status
Endpoint: GET /api/v2/stack-configurations/{configuration-id}
Purpose: Verify configuration upload completed successfully and get the configuration details.
Request:
curl -s -H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/vnd.api+json" \
"https://app.terraform.io/api/v2/stack-configurations/{configuration-id}" | jq '.'Response Fields:
attributes.status- Configuration processing status (pending/completed)attributes.sequence-number- Version number of this configurationattributes.components-detected- Number of components foundattributes.deployments-detected- Number of deployments found
Example Response:
{
"data": {
"id": "stc-ABC123",
"type": "stack-configurations",
"attributes": {
"status": "completed",
"sequence-number": 5,
"components-detected": 3,
"deployments-detected": 2,
"created-at": "2024-01-15T10:30:00.000Z",
"updated-at": "2024-01-15T10:30:45.000Z"
}
}
}Step 2: Get Deployment Group Summaries
Endpoint: GET /api/v2/stack-configurations/{configuration-id}/stack-deployment-group-summaries
Purpose: Get list of deployment groups, their IDs, and current status summary.
Request:
curl -s -H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/vnd.api+json" \
"https://app.terraform.io/api/v2/stack-configurations/{configuration-id}/stack-deployment-group-summaries" | jq '.'Response Fields:
id- Deployment group ID (needed for next step)attributes.name- Deployment group name (e.g.,dev_default)attributes.status- Overall status (running/succeeded/failed)attributes.status-counts- Breakdown of deployment statuses
Example Response:
{
"data": [
{
"id": "sdg-XYZ789",
"type": "stack-deployment-group-summaries",
"attributes": {
"name": "dev_default",
"status": "running",
"status-counts": {
"pending": 0,
"running": 1,
"succeeded": 1,
"failed": 0
}
}
}
]
}Step 3: Get Deployment Runs
Endpoint: GET /api/v2/stack-deployment-groups/{group-id}/stack-deployment-runs
Purpose: Get list of deployment runs for a specific group with their current status.
Request:
curl -s -H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/vnd.api+json" \
"https://app.terraform.io/api/v2/stack-deployment-groups/{group-id}/stack-deployment-runs" | jq '.'Response Fields:
id- Deployment run ID (needed for next step)attributes.status- Current status (planning/planned/applying/applied/failed)attributes.created-at- Run start timeattributes.updated-at- Last update time
Example Response:
{
"data": [
{
"id": "sdr-123ABC",
"type": "stack-deployment-runs",
"attributes": {
"status": "planning",
"created-at": "2024-01-15T10:31:00.000Z",
"updated-at": "2024-01-15T10:31:15.000Z"
}
}
]
}Step 4: Get Deployment Steps
Endpoint: GET /api/v2/stack-deployment-runs/{run-id}/stack-deployment-steps
Purpose: Get detailed information about individual plan and apply steps.
Request:
curl -s -H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/vnd.api+json" \
"https://app.terraform.io/api/v2/stack-deployment-runs/{run-id}/stack-deployment-steps" | jq '.'Response Fields:
id- Step ID (needed for diagnostics and outputs)attributes.operation-type- Type of operation (plan/apply)attributes.status- Step status (running/completed/failed)attributes.component-name- Which component is being processed
Example Response:
{
"data": [
{
"id": "sds-PlanStep123",
"type": "stack-deployment-steps",
"attributes": {
"operation-type": "plan",
"status": "completed",
"component-name": "vpc",
"created-at": "2024-01-15T10:31:05.000Z",
"completed-at": "2024-01-15T10:31:30.000Z"
}
},
{
"id": "sds-ApplyStep456",
"type": "stack-deployment-steps",
"attributes": {
"operation-type": "apply",
"status": "running",
"component-name": "vpc",
"created-at": "2024-01-15T10:32:00.000Z"
}
}
]
}Step 5: Get Error Diagnostics (When Deployment Fails)
Endpoint: GET /api/v2/stack-deployment-steps/{step-id}/stack-diagnostics
Purpose: Retrieve detailed error messages when a deployment step fails.
Critical: The stack_deployment_step_id query parameter is required. Without it, the API returns empty results.
Request:
curl -s -H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/vnd.api+json" \
"https://app.terraform.io/api/v2/stack-deployment-steps/{step-id}/stack-diagnostics?stack_deployment_step_id={step-id}" | jq '.'Response Fields:
attributes.severity- Diagnostic level (error/warning)attributes.summary- Brief error descriptionattributes.detail- Detailed error messageattributes.diags- Array of diagnostic objects with file locations and code snippets
Example Response (Error with Details):
{
"data": [
{
"id": "stf-ErrorExampleId",
"type": "stack-diagnostics",
"attributes": {
"severity": "error",
"summary": "Diagnostics reported",
"detail": "2 errors",
"diags": [
{
"summary": "Unsupported attribute",
"detail": "This object does not have an attribute named \"target_id\".",
"range": {
"filename": "main.tf",
"start": {
"line": 634,
"column": 33
},
"end": {
"line": 634,
"column": 43
},
"source": "registry.terraform.io/terraform-aws-modules/alb/[email protected]//main.tf"
},
"snippet": {
"code": " target_id = each.value.target_id",
"context": "resource \"aws_lb_target_group_attachment\" \"this\""
}
},
{
"summary": "Invalid reference",
"detail": "A reference to a resource type must be followed by at least one attribute access.",
"range": {
"filename": "main.tf",
"start": {
"line": 142,
"column": 15
},
"end": {
"line": 142,
"column": 28
},
"source": "local-module//main.tf"
},
"snippet": {
"code": " vpc_id = aws_vpc.main",
"context": "resource \"aws_subnet\" \"private\""
}
}
],
"acknowledged": false,
"created-at": "2024-01-15T10:32:15.000Z"
}
}
]
}Parsing Diagnostics:
Extract error information with jq:
# Get error summaries
curl -s -H "Authorization: Bearer $TOKEN" \
"https://app.terraform.io/api/v2/stack-deployment-steps/{step-id}/stack-diagnostics?stack_deployment_step_id={step-id}" | \
jq -r '.data[].attributes.diags[]? | "\(.summary): \(.detail)"'
# Get file locations
curl -s -H "Authorization: Bearer $TOKEN" \
"https://app.terraform.io/api/v2/stack-deployment-steps/{step-id}/stack-diagnostics?stack_deployment_step_id={step-id}" | \
jq -r '.data[].attributes.diags[]? | "\(.range.filename):\(.range.start.line)"'Step 6: Get Stack Outputs (After Successful Deployment)
Endpoint: GET /api/v2/stack-deployment-steps/{final-apply-step-id}/artifacts?name=apply-description
Purpose: Retrieve Stack outputs after a successful deployment completes.
Important Notes:
This endpoint returns HTTP 307 redirect - use
curl -Lto follow redirects automaticallyThis is currently the only way to retrieve Stack outputs programmatically
This endpoint is not documented in public API documentation
You need the final apply step ID from Step 4
Request:
curl -L -s -H "Authorization: Bearer $TOKEN" \
"https://app.terraform.io/api/v2/stack-deployment-steps/{final-apply-step-id}/artifacts?name=apply-description"Response Structure:
The artifact response includes an .outputs object where each output contains a change.after property with the actual output value:
{
"outputs": {
"alb_url": {
"change": {
"actions": ["no-op"],
"before": "http://my-alb-123456789.us-west-2.elb.amazonaws.com",
"after": "http://my-alb-123456789.us-west-2.elb.amazonaws.com",
"after_unknown": false,
"before_sensitive": false,
"after_sensitive": false
},
"type": "string"
},
"ecr_repository_url": {
"change": {
"actions": ["no-op"],
"before": "123456789.dkr.ecr.us-west-2.amazonaws.com/my-repo",
"after": "123456789.dkr.ecr.us-west-2.amazonaws.com/my-repo",
"after_unknown": false,
"before_sensitive": false,
"after_sensitive": false
},
"type": "string"
}
}
}Extract Only Output Values:
curl -L -s --header "Authorization: Bearer $TOKEN" \
"https://app.terraform.io/api/v2/stack-deployment-steps/{final-apply-step-id}/artifacts?name=apply-description" | \
jq -r '.outputs | to_entries | .[] | "\(.key): \(.value.change.after)"'Example Output:
alb_url: http://my-alb-123456789.us-west-2.elb.amazonaws.com
ecr_repository_url: 123456789.dkr.ecr.us-west-2.amazonaws.com/my-repoDetailed Endpoint Reference
Available Artifact Types
The artifacts endpoint accepts these name parameter values:
plan-description- Terraform plan output in JSON formatplan-debug-log- Detailed debug logs from plan operationapply-description- Terraform apply output including outputs (JSON format)apply-debug-log- Detailed debug logs from apply operation
Polling Best Practices
Recommended polling intervals:
Configuration status: Check every 5 seconds until status is "completed"
Deployment runs: Check every 10 seconds during active deployment
Deployment steps: Check every 10 seconds for individual step status
Implement exponential backoff:
# Example polling script with backoff
RETRY_COUNT=0
MAX_RETRIES=30
BACKOFF=5
while [ $RETRY_COUNT -lt $MAX_RETRIES ]; do
STATUS=$(curl -s -H "Authorization: Bearer $TOKEN" \
"https://app.terraform.io/api/v2/stack-deployment-runs/{run-id}" | \
jq -r '.data.attributes.status')
if [ "$STATUS" = "applied" ] || [ "$STATUS" = "failed" ]; then
echo "Deployment finished with status: $STATUS"
break
fi
echo "Current status: $STATUS. Waiting ${BACKOFF}s..."
sleep $BACKOFF
RETRY_COUNT=$((RETRY_COUNT + 1))
doneNotes for AI Agents and Automation
CLI Command Limitations
These CLI commands DO NOT work in automation:
terraform stacks deployment-run watch- Streams output, blocks indefinitelyterraform stacks deployment-group watch- Streams output, blocks indefinitelyterraform stacks configuration watch- Streams output, blocks indefinitely
Solution: Use API polling instead of watch commands.
No Direct Output Command
There is currently no CLI command to retrieve Stack outputs. You must:
Use API to get deployment steps
Find the final apply step ID
Request the
apply-descriptionartifactParse JSON to extract outputs
Handling Redirects
The artifacts endpoint returns HTTP 307 redirect to the actual artifact location. Ensure your HTTP client follows redirects:
curl: Use -L flag
Python requests: Set allow_redirects=True (default)
Node.js fetch: Set redirect: 'follow' (default)
Error Handling
Common API errors:
401 Unauthorized: Invalid or expired token - refresh credentials
404 Not Found: Invalid ID or resource doesn't exist yet - retry with backoff
429 Too Many Requests: Rate limited - implement exponential backoff
Empty diagnostics: Missing required
stack_deployment_step_idquery parameter
Complete Monitoring Script Example
#!/bin/bash
# Configuration
TOKEN=$(jq -r '.credentials["app.terraform.io"].token' ~/.terraform.d/credentials.tfrc.json)
CONFIG_ID="stc-ABC123"
BASE_URL="https://app.terraform.io/api/v2"
# Helper function
api_get() {
curl -s -H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/vnd.api+json" \
"$1"
}
# 1. Wait for configuration to complete
echo "Checking configuration status..."
while true; do
STATUS=$(api_get "$BASE_URL/stack-configurations/$CONFIG_ID" | jq -r '.data.attributes.status')
[ "$STATUS" = "completed" ] && break
echo "Configuration status: $STATUS. Waiting..."
sleep 5
done
# 2. Get deployment groups
echo "Getting deployment groups..."
GROUP_ID=$(api_get "$BASE_URL/stack-configurations/$CONFIG_ID/stack-deployment-group-summaries" | \
jq -r '.data[0].id')
# 3. Get deployment run
echo "Getting deployment run..."
RUN_ID=$(api_get "$BASE_URL/stack-deployment-groups/$GROUP_ID/stack-deployment-runs" | \
jq -r '.data[0].id')
# 4. Monitor deployment run
echo "Monitoring deployment run: $RUN_ID"
while true; do
STATUS=$(api_get "$BASE_URL/stack-deployment-runs/$RUN_ID" | jq -r '.data.attributes.status')
echo "Deployment status: $STATUS"
if [ "$STATUS" = "applied" ]; then
echo "Deployment succeeded!"
# 5. Get outputs from final apply step
APPLY_STEP=$(api_get "$BASE_URL/stack-deployment-runs/$RUN_ID/stack-deployment-steps" | \
jq -r '.data[] | select(.attributes["operation-type"] == "apply") | .id' | tail -1)
echo "Retrieving outputs from step: $APPLY_STEP"
curl -L -s -H "Authorization: Bearer $TOKEN" \
"$BASE_URL/stack-deployment-steps/$APPLY_STEP/artifacts?name=apply-description" | \
jq -r '.outputs | to_entries | .[] | "\(.key): \(.value.change.after)"'
break
fi
if [ "$STATUS" = "failed" ]; then
echo "Deployment failed!"
# Get error diagnostics
FAILED_STEP=$(api_get "$BASE_URL/stack-deployment-runs/$RUN_ID/stack-deployment-steps" | \
jq -r '.data[] | select(.attributes.status == "failed") | .id' | head -1)
echo "Error diagnostics from step: $FAILED_STEP"
api_get "$BASE_URL/stack-deployment-steps/$FAILED_STEP/stack-diagnostics?stack_deployment_step_id=$FAILED_STEP" | \
jq -r '.data[].attributes.diags[]? | "\(.summary): \(.detail)"'
exit 1
fi
sleep 10
doneThis script demonstrates a complete monitoring workflow from configuration upload to output retrieval with error handling.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs an API key, Needs a command-line tool
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- HashiCorp
- Publisher
- HashiCorp (Official)
- Source
- hashicorp/agent-skills · plugins/terraform/skills/terraform-stacks · commit 5e30fa5
- Licence
- Mozilla Public License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by HashiCorp.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download terraform-stacks.zip