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Feature/deadsg
WalkthroughThis pull request introduces comprehensive infrastructure-as-code and deployment automation for an Eliza-based AI agent platform on AWS. Changes include new GitHub Actions workflows, extensive Terraform configurations for multi-account AWS deployments (VPC, ALB, autoscaling, Cognito, IAM), SSM document definitions for deployment orchestration, deployment scripts (Bash/Batch), character configuration for a Twitter bot, and supporting documentation and utilities. Changes
Estimated code review effort🎯 4 (Complex) | ⏱️ ~60 minutes Areas requiring extra attention:
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Actionable comments posted: 16
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Due to the large number of review comments, Critical severity comments were prioritized as inline comments.
🟠 Major comments (28)
modules/aws/ssm/observability/install.sh-2-30 (1)
2-30: Fix undefinedaws_ssm_parameter_cw_agent_config_nameso config fetch works
aws_ssm_parameter_cw_agent_config_nameis only mentioned in a comment and never set, so this line:/opt/aws/amazon-cloudwatch-agent/bin/amazon-cloudwatch-agent-ctl -a fetch-config -m ec2 -s -c "ssm:${aws_ssm_parameter_cw_agent_config_name}"will expand to
ssm:and fail to load the config from SSM.A more robust pattern is:
-#aws_ssm_parameter_cw_agent_config_name=${aws_ssm_parameter.cw_agent_config.name} +:# CW_AGENT_CONFIG_PARAM_NAME must be set to the SSM parameter name, e.g. via SSM document or user data +: "${CW_AGENT_CONFIG_PARAM_NAME:?Set CW_AGENT_CONFIG_PARAM_NAME to the CloudWatch agent SSM parameter name}" ... -/opt/aws/amazon-cloudwatch-agent/bin/amazon-cloudwatch-agent-ctl -a fetch-config -m ec2 -s -c "ssm:${aws_ssm_parameter_cw_agent_config_name}" +/opt/aws/amazon-cloudwatch-agent/bin/amazon-cloudwatch-agent-ctl -a fetch-config -m ec2 -s -c "ssm:${CW_AGENT_CONFIG_PARAM_NAME}"This makes the dependency explicit and prevents silently misconfigured agents.
environments/eliza-agent-api/components/resource_launchers/lambda/scale_lambda.py-1-19 (1)
1-19: Add error handling, logging, and clean up unused parameters in Lambda handlerThe handler will crash with
KeyErrorifAUTO_SCALING_GROUP_NAMEis missing, orIndexErrorif the ASG is not found. It also logs nothing and silently returnsNone, making debugging difficult.Consider this approach:
-import boto3 -import os - -def handler(event, context): - asg_name = os.environ['AUTO_SCALING_GROUP_NAME'] - client = boto3.client('autoscaling') - - response = client.describe_auto_scaling_groups(AutoScalingGroupNames=[asg_name]) - desired_capacity = response['AutoScalingGroups'][0]['DesiredCapacity'] - - # Example scaling logic - client.set_desired_capacity( - AutoScalingGroupName=asg_name, - DesiredCapacity=desired_capacity + 1, # Increment desired instances - HonorCooldown=True - ) +import os +import logging + +import boto3 + +logger = logging.getLogger(__name__) +logger.setLevel(logging.INFO) + +autoscaling = boto3.client("autoscaling") + + +def handler(_event, _context): + asg_name = os.environ.get("AUTO_SCALING_GROUP_NAME") + if not asg_name: + logger.error("AUTO_SCALING_GROUP_NAME env var is not set") + return {"status": "error", "reason": "missing ASG name"} + + resp = autoscaling.describe_auto_scaling_groups(AutoScalingGroupNames=[asg_name]) + groups = resp.get("AutoScalingGroups", []) + if not groups: + logger.error("No Auto Scaling Group found with name %s", asg_name) + return {"status": "error", "reason": "asg not found"} + + group = groups[0] + desired = group.get("DesiredCapacity", 0) + new_desired = desired + 1 + + autoscaling.set_desired_capacity( + AutoScalingGroupName=asg_name, + DesiredCapacity=new_desired, + HonorCooldown=True, + ) + + logger.info("Scaled ASG %s from %d to %d", asg_name, desired, new_desired) + return {"status": "ok", "asg": asg_name, "desired_capacity": new_desired}This validates inputs upfront, logs actions and failures, returns structured responses, and avoids unused-parameter warnings.
environments/eliza-agent-api/components/vpc/main.tf-3-79 (1)
3-79: Pin VPC module version, fix AZ output inconsistency, and align subnet naming with dynamic AZ countSeveral issues need fixing:
Module version unpinned:
source = "terraform-aws-modules/vpc/aws"lacks a version constraint, risking unexpected changes when the upstream module updates. Add an explicitversionattribute (e.g.,version = "5.1.2").AZ output mismatch:
local.azsis driven byvar.aws_availability_zones, butoutput "azs"exposesdata.aws_availability_zones.available.names, which may differ in set or order. Outputlocal.azsinstead to reflect the actual AZs used by the VPC.Subnet naming will break with variable AZ counts:
private_subnet_namesis hardcoded to 2 names whileprivate_subnetsandpublic_subnetsare created dynamically via[for k, v in local.azs : ...]. Ifvar.aws_availability_zonescontains more than 2 elements, Terraform will error on subnet count mismatch. Either constrain the variable to exactly 2 AZs or generate names dynamically to match the loop.Add variable type declarations: Define
variable "aws_availability_zones" { type = list(string) }andvariable "name" { type = string }for clarity and validation.accounts/mdupont/codebuild/main.tf-23-23 (1)
23-23: Replace hardcoded OAuth token placeholder with a variable or secret reference.This placeholder poses a risk of accidentally committing a real token. Use a variable with a sensitive flag, or reference it from AWS Secrets Manager / SSM Parameter Store.
- github_oauth_token = "(Required) <GitHub Oauth Token with permissions to access private repositories>" + github_oauth_token = var.github_oauth_token # Pass from tfvars or secrets managerAdd a variable declaration:
variable "github_oauth_token" { description = "GitHub OAuth token for CodeBuild" type = string sensitive = true }environments/eliza-agent-api/components/machine_image/main.tf.asg-5-14 (1)
5-14: Avoid hardcoding infrastructure IDs - use variables or data sources.Hardcoded AMI, subnet, and VPC IDs reduce portability and make the configuration environment-specific.
locals { - ami = "ami-0e2c8caa4b6378d8c" + ami = var.ami_id name = "swarms" - region = "us-east-1" - ec2_subnet_id = "subnet-057c90cfe7b2e5646" - vpc_id = "vpc-04f28c9347af48b55" + region = var.aws_region + ec2_subnet_id = var.subnet_id + vpc_id = var.vpc_id tags = { project="swarms" } }Committable suggestion skipped: line range outside the PR's diff.
environments/eliza-agent-api/components/autoscaling_group/spot/main.tf-61-68 (1)
61-68: Security group not attached to network interface.The
security_groupsattribute is commented out. Without a security group, instances may use the default VPC security group which could be overly permissive.network_interfaces = [{ associate_public_ip_address = true device_index = 0 delete_on_termination = true description = "interface1" - # security_groups = [var.security_group_id] + security_groups = [var.security_group_id] } ]You'll also need to add the variable declaration:
variable "security_group_id" { type = string description = "Security group ID to attach to instances" }environments/swarms-deploy/dev/us-east-1/components/launch_template/main.tf-22-47 (1)
22-47: Enable IMDSv2 to mitigate SSRF attacks.The launch template doesn't configure metadata options, defaulting to IMDSv1 which is vulnerable to SSRF attacks. AWS recommends requiring IMDSv2.
resource "aws_launch_template" "ec2_launch_template" { name_prefix = "${var.name}-launch-template-" image_id = var.ami_id key_name = var.key_name instance_type = var.instance_type + + metadata_options { + http_endpoint = "enabled" + http_tokens = "required" # Enforces IMDSv2 + http_put_response_hop_limit = 1 + } + network_interfaces {accounts/swarms/pdev/main.tf-2-20 (1)
2-20: IAM trust policy allows entire external account root with no conditions; tighten Principal and add conditionsThe role's assume_role_policy permits
sts:AssumeRolefrom the entire external account root (arn:aws:iam::354918380242:root) with no restrictions. A commented-out MFA condition on line 15 suggests this was considered but disabled.For comparison,
accounts/swarms/mdupont/main.tfrestricts its principal to a specific user (arn:aws:iam::767503528736:user/mdupont). Consider aligning pdev with this pattern by restricting to a specific role and adding conditions:Principal = { AWS = "arn:aws:iam::354918380242:role/pdev" } Condition = { Bool = { "aws:MultiFactorAuthPresent" = "true" } }Confirm this broad trust is intentional.
accounts/AI_Token_Team/main.tf-25-32 (1)
25-32: Switch to Canonical-published Ubuntu AMIsThe current AMI data source uses
679593333241, which is the AWS Marketplace owner account. This requires accepting Marketplace terms and does not explicitly pin to Canonical-published AMIs, which complicates provenance verification.Switch to Canonical's official owner account (
099720109477) either directly or via SSM:data "aws_ssm_parameter" "ubuntu_24_04_amd64_minimal" { name = "/aws/service/canonical/ubuntu/server/24.04/stable/current/amd64/hvm/ebs-gp3/ami-id" } data "aws_ami" "ami" { most_recent = true owners = ["099720109477"] filter { name = "image-id" values = [data.aws_ssm_parameter.ubuntu_24_04_amd64_minimal.value] } }Or update the
ownersdirectly to["099720109477"]if querying by name pattern is preferred.accounts/swarms/mdupont/main.tf-1-21 (1)
1-21: Enable MFA condition in trust policy for cross-account accessThe trust policy should require MFA authentication when assuming this role. AWS best practices recommend the
aws:MultiFactorAuthPresentcondition for cross-account assume role policies:{ Effect = "Allow" Principal = { AWS = "arn:aws:iam::767503528736:user/mdupont" } Action = "sts:AssumeRole" Condition = { Bool = { "aws:MultiFactorAuthPresent" = "true" } } }This ensures the principal must present an MFA-authenticated session to assume the role. The condition key is already sketched in your code (line 16)—uncomment and enable it.
Regarding principal scope: AWS recommends using specific role or user ARNs (as you currently have) for least-privilege access rather than broader account root principals. Keep the current principal (
arn:aws:iam::767503528736:user/mdupont) and pair it with the MFA condition.environments/call-swarms/deploy-docker.yaml-1-56 (1)
1-56: Harden SSM parameters and use ENV_VAR interpolation to prevent command injectionThe SSM document runs shell commands using unquoted parameters with an overly permissive
allowedPattern, creating a command injection risk:allowedPattern: "^.+$" # allows any character, including shell metacharactersgit remote add {{GitName}} {{GitUrl}} git pull {{GitName}} {{GitVersion}} git checkout --force {{GitVersion}}If an attacker gains
ssm:SendCommandon this document, they could inject shell metacharacters viaGitUrl/GitName/GitVersion.Recommended hardening:
- Use
interpolationType: "ENV_VAR"(AWS best practice): Parameters are injected as environment variables instead of inline substitution, treating values as literal strings:parameters: GitName: type: String description: "(Required) Git remote name." allowedPattern: "^[A-Za-z0-9._-]+$" interpolationType: "ENV_VAR" GitUrl: type: String description: "(Required) Git repository URL (HTTPS or SSH)." allowedPattern: "^(https?://[A-Za-z0-9._~:/?#@!$&'()*+,;=%-]+|git@[A-Za-z0-9.-]+:[A-Za-z0-9._/-]+)(\\.git)?$" interpolationType: "ENV_VAR" GitVersion: type: String description: "(Required) Branch, tag, or commit." allowedPattern: "^[A-Za-z0-9._\\-/]+$" interpolationType: "ENV_VAR"
- Reference environment variables in the script:
git remote add "$SSM_GitName" "$SSM_GitUrl" git remote set-url "$SSM_GitName" "$SSM_GitUrl" git pull "$SSM_GitName" "$SSM_GitVersion" git checkout --force "$SSM_GitVersion"
- Restrict IAM permissions: Ensure only tightly controlled principals (e.g., GitHub OIDC role) have
ssm:SendCommandpermission on this document.The
interpolationType: "ENV_VAR"approach is more secure than inline substitution because it avoids re-evaluation of parameter contents within the shell.deploy_twitter_bot.bat-59-85 (1)
59-85: Add error handling around Terraform calls and fix region configuration across deployment scriptsTwo critical issues to address:
Missing error handling after Terraform commands
Lines 76, 80, and 84 execute
terraform initandterraform applywithout checkingerrorlevel. If any fail, the script continues and prints "=== Deployment Complete ===" (line 87), which is misleading. Add errorlevel checks after each terraform command.Region inconsistency between deployment scripts
The BAT script uses
us-east-1consistently (SSM at lines 61–64, ECR at line 68, status commands at lines 93, 96). However,deploy_twitter_bot.shis internally inconsistent: it stores SSM secrets inus-east-1(viaset_secrets.sh), but deploys infrastructure tous-west-1(ECR at line 69, EC2 queries at lines 94, 97). This cross-region mismatch means Terraform would need to reference secrets across regions.Define a single
AWS_REGIONvariable and apply it consistently across all AWS CLI and deployment commands in both scripts.environments/eliza-agent-api/components/application_load_balancer/target_group/main.tf-18-29 (1)
18-29: Reconsider health-check thresholds and timeout (very slow convergence)The health-check configuration significantly exceeds AWS defaults:
interval = 130(AWS default: 30)timeout = 120(AWS default: 5)healthy_threshold = 10(AWS default: 5)unhealthy_threshold = 10(AWS default: 2)This results in ~22 minutes (10 × 130s) to mark a target healthy or unhealthy, and the 120s timeout is exceptionally high—most health-check endpoints should respond well under 5 seconds. This configuration will significantly delay failover detection and new instance registration.
Unless your backend has documented latency requirements justifying these values, reduce them closer to AWS defaults (e.g., interval 30, timeout 5, thresholds 2–5) tuned to your application's actual startup and response characteristics.
environments/eliza-agent-api/components/resource_launchers/main.tf-38-45 (1)
38-45: Add CloudWatch Logs permissions to Lambda role and fix runtime/environment configurationThree issues need to be addressed:
The Lambda role lacks CloudWatch Logs permissions. Without these, Lambda invocations will fail when attempting to write logs. Attach
arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRoletoaws_iam_role.lambda_roleusingaws_iam_role_policy_attachment.The
runtimeis set to"python3.8", which is deprecated as of October 2024. AWS will block new function creation with this runtime starting June 1, 2026. Upgrade to"python3.11"or later (verify compatibility withscale_lambda.pyfirst).The
environmentattribute uses incorrect syntax. It should be a block with avariablessub-block:environment { variables = { AUTO_SCALING_GROUP_NAME = aws_autoscaling_group.ec2_autoscaling_group.name } }README.md-94-98 (1)
94-98: Storeagent_openai_keyas a SecureString in SSMThe docs show:
aws ssm put-parameter --name "agent_openai_key" --value "${OPENAI_API_KEY}" --type StringUsing
--type Stringmeans the OpenAI API key is stored unencrypted at rest (beyond basic AWS storage). For production use, this should be aSecureStringwith a KMS key:-aws ssm put-parameter --name "agent_openai_key" --value "${OPENAI_API_KEY}" --type String +aws ssm put-parameter --name "agent_openai_key" --value "${OPENAI_API_KEY}" --type SecureString --key-id <kms-key-id>Same applies to the later
put-parameterexamples.accounts/np-introspector/main.tf-6-11 (1)
6-11: Constrain AMI lookup to trusted ownersThe AMI data source:
locals { ami_name = "ubuntu-minimal/images/hvm-ssd-gp3/ubuntu-noble-24.04-arm64-minimal-*" } data "aws_ami" "ami" { # slow most_recent = true name_regex = "^${local.ami_name}" }does not specify
owners, so it can, in theory, match any public AMI with a matching name. For security/supply-chain hardening, you should constrain this to the official publisher (e.g., Canonical) or to your own account:data "aws_ami" "ami" { most_recent = true name_regex = "^${local.ami_name}" owners = ["099720109477"] # Canonical (example) or your own AWS account ID }This reduces the risk of accidentally selecting an untrusted or malicious image.
README.md-158-164 (1)
158-164: Remove or mask theAKIA...ID from the ARN exampleThe example error snippet includes
arn:aws:ssm:us-east-1:AKIA4SYAMCQ5MMLC6NU3:parameter/.... ThatAKIA...pattern looks like a real AWS access key ID accidentally used where an account ID should be. Even if this key is now inactive, it’s best to treat it as sensitive and either fully mask or replace it with a clearly fake value (e.g.,111122223333).environments/eliza-agent-api/components/launch_template_docker/main.tf-80-107 (1)
80-107: Harden the launch template: IMDSv2-only and optional private IPsTwo security hardening points here:
- IMDSv2 – There is no
metadata_optionsblock, so IMDSv1 remains enabled by default. To align with AWS best practices, require IMDSv2:resource "aws_launch_template" "ec2_launch_template" { name_prefix = "${var.name}-launch-template-" image_id = var.ami_id instance_type = var.instance_type + metadata_options { + http_tokens = "required" + } network_interfaces { associate_public_ip_address = true
- Public IPs –
associate_public_ip_address = trueis fine for initial experiments, but for a production agent behind an ALB you’ll typically want private subnets + NAT instead. Consider parameterizing this or defaulting tofalseonce you’re past early testing.These changes improve the security posture without changing higher-level module interfaces.
environments/swarms-deploy/dev/us-east-1/components/autoscaling_group/main.tf-1-14 (1)
1-14: Unused IAM profile variable causes module to ignore caller's SSM profileThe caller module
asg_dynamicexplicitly passesaws_iam_instance_profile_ssm_arn = var.ssm_profile_arn(line 147 of parent main.tf), but the autoscaling_group module defines this variable, assigns it to a local (line 12), and then never uses it. Instead, the module creates its own IAM instance profile (create_iam_instance_profile = trueon line 48), which means the SSM profile passed by the caller is silently ignored.Either wire the passed profile into the module by setting
create_iam_instance_profile = falseand using the input profile's ARN/name, or remove this variable and local entirely to eliminate confusion. The commented line in the caller (#iam_instance_profile_name = module.roles.ssm_profile_name) suggests awareness of this issue.environments/eliza-agent-api/components/launch_template_docker_mcs/main.tf-24-68 (1)
24-68: Fix pipe operator and Debian-specific version pins in apt-get commandThe line using Debian 12-specific versions will fail on Ubuntu AMIs:
apt-get install -y --no-install-recommends ca-certificates=20230311 curl=7.88.1-10+deb12u7 | echo oopsTwo issues:
- The version strings (
20230311,7.88.1-10+deb12u7) are packaged differently on Ubuntu; apt-get will fail because these exact versions don't exist in Ubuntu repositories.- The
| echo oopspipe masks the failure by returning the exit code ofecho(success) instead of apt-get's failure, causing the script to continue silently without properly installing the packages.Replace with:
apt-get install -y --no-install-recommends ca-certificates curl || echo "ca-certificates/curl install failed (continuing)"This removes distro-specific version pins (allowing apt to find compatible versions) and uses
||to properly handle failures.environments/eliza-agent-api/components/launch_template_docker_mcs/main.tf-70-72 (1)
70-72: SSM/CloudWatch agent configuration is miswired (ARN vs name)The data source receives an ARN when it expects a parameter name/path:
variable "ssm_parameter_name_cw_agent_config" {} ... data "aws_ssm_parameter" "cw_agent_config" { name = var.ssm_parameter_name_cw_agent_config } ... /opt/aws/amazon-cloudwatch-agent/bin/amazon-cloudwatch-agent-ctl \ -a fetch-config -m ec2 -s -c "ssm:${data.aws_ssm_parameter.cw_agent_config.name}"But the caller sets:
ssm_parameter_name_cw_agent_config = "arn:aws:ssm:${var.ssm_region}:${var.aws_account_id}:parameter/cloudwatch-agent/config/details"The
aws_ssm_parameterdata source'snameargument requires the parameter name or path (e.g.,/cloudwatch-agent/config/details), not an ARN. This will fail withParameterNotFoundduringterraform apply.Fix either by:
- Extracting the parameter path and passing that:
ssm_parameter_name_cw_agent_config = "/cloudwatch-agent/config/details", or- Passing the ARN directly to the CLI, bypassing the data source:
- /opt/aws/amazon-cloudwatch-agent/bin/amazon-cloudwatch-agent-ctl -a fetch-config -m ec2 -s -c "ssm:${data.aws_ssm_parameter.cw_agent_config.name}" + /opt/aws/amazon-cloudwatch-agent/bin/amazon-cloudwatch-agent-ctl -a fetch-config -m ec2 -s -c "ssm:${var.ssm_parameter_name_cw_agent_config}"Also applies to: 52–55
accounts/mdupont/main.tf-62-66 (1)
62-66: Duplicateami_namelocal definition.
local.ami_nameis defined twice (lines 62 and 128) with the same value. Terraform will use the second definition, but this is confusing and error-prone. Consolidate into a single locals block.Remove the duplicate definition at line 128:
-locals { ami_name = "ubuntu-minimal/images/hvm-ssd-gp3/ubuntu-noble-24.04-arm64-minimal-*" } data "aws_ami" "dev_ami" { # slowAlso applies to: 128-133
logs/parse.py-70-81 (1)
70-81: Duplicate field definition in UserIdentity model.The field
theTypeis defined twice (lines 70 and 80), which will cause unexpected behavior in Pydantic - the second definition silently overwrites the first.class UserIdentity(BaseModel): model_config = ConfigDict(extra="forbid") theType: str = Field(None, alias="type") principal_id: str = Field(None, alias="principalId") arn: str = Field(None) account_id: str = Field(None, alias="accountId") access_key_id: str = Field(None, alias="accessKeyId") userName :Optional[str] = None invokedBy :Optional[str] = None identityProvider :Optional[str] = None principalId :Optional[str] = None sessionContext : Optional[SessionContext]=None - theType: Optional[str] = Field(None, alias="type")environments/eliza-agent-api/components/cognito_user_pool/main.tf-16-18 (1)
16-18: Pin the Terraform module source to a specific version.The module source
lgallard/cognito-user-pool/awslacks version pinning, which can lead to unexpected breaking changes when the module is updated. This is flagged by static analysis (CKV_TF_1, CKV_TF_2).Apply this diff to pin the module version:
module "aws_cognito_user_pool_complete_example" { - source = "lgallard/cognito-user-pool/aws" + source = "lgallard/cognito-user-pool/aws" + version = "0.24.0" # Pin to a specific versionlogs/parse.py-1346-1349 (1)
1346-1349: Indentation error causes incorrect logic.The
elseblock at line 1348 is incorrectly aligned with theforloop instead of theifstatement, causing it to execute after the loop completes rather than as the alternative to theifcondition. This is likely unintended behavior.for f in facts: #k = ".".join(p) if f not in report: report[f] = 1 - else: - report[f] = report[f] + 1 + else: + report[f] = report[f] + 1environments/eliza-agent-api/components/autoscaling_group/main.tf-94-113 (1)
94-113: Validate predictive scaling metric specification before enablingThe
predictive-scalingpolicy uses placeholderresource_label = "testLabel"for both scaling and load metrics. For AWS predictive scaling,resource_labelmust match concrete resources (e.g., a specific ALB/target group), and invalid labels will cause API errors when applying the policy.Unless you already have matching resources with that exact label, this block will likely fail at apply. Either parameterize
resource_labelcorrectly or temporarily disable this policy until the final metric wiring is known.environments/eliza-agent-api/components/application_load_balancer/https/main.tf-102-110 (1)
102-110: Avoid serving prod traffic over plain HTTP; redirect to HTTPSThe
aws_lb_listener "insecure"on port 80 currently forwards directly to the prod target group, meaning requests can be served over HTTP.For production, it’s safer to use port 80 only to redirect clients to HTTPS instead of forwarding traffic.
resource "aws_lb_listener" "insecure" { port = 80 protocol = "HTTP" load_balancer_arn = var.alb_arn - default_action { - target_group_arn = var.prod_target_group_arn - type = "forward" - } + default_action { + type = "redirect" + redirect { + port = "443" + protocol = "HTTPS" + status_code = "HTTP_301" + } + } }environments/eliza-agent-api/components/launch_template/main.tf-63-91 (1)
63-91: Harden instance security: avoid public IPs and require IMDSv2The launch template currently:
- Attaches a public IP (
associate_public_ip_address = true).- Does not configure
metadata_options, so IMDSv1 remains enabled by default.For internet-facing workloads this is a nontrivial risk. Consider:
- Using private subnets + NAT where possible.
- Enforcing IMDSv2 and disabling IMDSv1.
resource "aws_launch_template" "ec2_launch_template" { @@ - network_interfaces { - associate_public_ip_address = true + network_interfaces { + # Prefer private subnets + NAT; only set this true if you explicitly need a public IP + associate_public_ip_address = true @@ } + + metadata_options { + http_tokens = "required" # Enforce IMDSv2 + http_endpoint = "enabled" + http_put_response_hop_limit = 1 + } @@ - tags = var.tags + tags = var.tags }Committable suggestion skipped: line range outside the PR's diff.
🟡 Minor comments (17)
environments/eliza-agent-api/components/Readme.md-19-21 (1)
19-21: Fix typo and capitalization.
- Line 19: "github" → "GitHub"
- Line 20: "privlege" → "privilege"
-1. call from github action. -2. have least privlege +1. call from GitHub action. +2. have least privilegeaccounts/mdupont/codebuild/main.tf-1-1 (1)
1-1: Fix malformed URL in comment.The URL is duplicated/concatenated incorrectly.
-# https://github.com/cloudposse/terraform-aws-codebuild.githttps://github.com/cloudposse/terraform-aws-codebuild.git +# https://github.com/cloudposse/terraform-aws-codebuild.gitenvironments/eliza-agent-api/components/Readme.md-4-6 (1)
4-6: Fix typos in documentation.
- Line 5: "intances" → "instances"
-0. create standard vpc with a private network to host ec2, -so we will put the intances in public for now and use security groups to limit access. +0. create standard vpc with a private network to host ec2, +so we will put the instances in public for now and use security groups to limit access.actions/call_swarms.org-227-228 (1)
227-228: Malformed JSON in transcript - missing closing quote.Line 227 has an unclosed string which may cause issues if this file is parsed programmatically.
- "StandardErrorUrl": " + "StandardErrorUrl": "https://s3.us-east-2.amazonaws.com/swarms-session-logs-20241221151754799300000003/6c96c523-2970-4071-9d5d-f95a041703ef/i-0a3dae164f8f3c09a/awsrunShellScript/DeployDocker/stderr",environments/eliza-agent-api/components/machine_image/main.tf.asg-212-212 (1)
212-212: Upgrade Python runtime from 3.8 to 3.11 or 3.12.Python 3.8 runtime was deprecated in AWS Lambda on October 14, 2024. While existing functions continue to run, AWS will block creation of new functions on June 1, 2026. Migrate to Python 3.11 or 3.12 to remain on a supported runtime.
environments/swarms-deploy/dev/us-east-1/components/launch_template/main.tf-56-56 (1)
56-56: Typo: Pipe|should be||for conditional execution.The pipe operator
|sends stdout toecho oops, which doesn't provide error handling. Use||for conditional execution on failure, consistent with lines 54-55.- apt-get install -y --no-install-recommends ca-certificates=20230311 curl=7.88.1-10+deb12u7 | echo oops + apt-get install -y --no-install-recommends ca-certificates=20230311 curl=7.88.1-10+deb12u7 || echo oopsenvironments/eliza-agent-api/components/autoscaling_group/spot/main.tf-107-116 (1)
107-116: Replace placeholdertestLabelwith actual resource labels.The
resource_labelvalues are set to"testLabel"which appears to be placeholder text. For predictive scaling to work correctly with ALB metrics, this should reference the actual ALB and target group ARN suffixes.predefined_scaling_metric_specification = { predefined_metric_type = "ASGAverageCPUUtilization" - resource_label = "testLabel" + resource_label = "" # Not required for ASGAverageCPUUtilization } predefined_load_metric_specification = { predefined_metric_type = "ASGTotalCPUUtilization" - resource_label = "testLabel" + resource_label = "" # Not required for ASGTotalCPUUtilization }Note:
resource_labelis typically only needed for ALB-based metrics, not ASG CPU metrics.logs/report.sh-1-8 (1)
1-8: Add a shebang to clarify the target shellThe script currently lacks a shebang, which causes ShellCheck SC2148. Add
#!/usr/bin/env bashas the first line:+#!/usr/bin/env bash + # get the lines gron ./logs/*.log | grep -i error > report.txtOptionally add
set -euo pipefailafter the shebang to fail fast on errors or undefined variables in the pipeline.logs/getlogs.sh-1-44 (1)
1-44: Add a shebang and fix quoting / edge casesShellcheck findings are valid; a few small tweaks will make this more robust:
- Specify shell (currently “unknown” to tooling):
+#!/usr/bin/env bash +
- Quote command substitution in the redirect to avoid word splitting / globbing:
-aws cloudtrail lookup-events --profile swarms --region us-east-2 --start-time $NEW_DATE --output json >> logs/$(date -d "today" +"%Y%m%d%H%M").log +aws cloudtrail lookup-events --profile swarms --region us-east-2 \ + --start-time "$NEW_DATE" --output json \ + >> "logs/$(date -d "today" +"%Y%m%d%H%M").log"
- Handle missing log files to avoid
ls/date -rerrors:-LATEST_LOG=$(ls logs/*.log 2>/dev/null | tail -n 1) - -echo LATEST_LOG $LATEST_LOG - - -FILENAME=$(ls -t logs/*.log | head -1) +LATEST_LOG=$(ls logs/*.log 2>/dev/null | tail -n 1) +echo "LATEST_LOG $LATEST_LOG" + +if [ -z "$LATEST_LOG" ]; then + echo "No existing logs found in ./logs; nothing to query yet." >&2 + exit 0 +fi + +FILENAME=$(ls -t logs/*.log | head -1) # Extract the start time of the latest log file -NEW_DATE=$(date -u -r ${FILENAME} +%FT%TZ) -echo NEW_DATE $NEW_DATE +NEW_DATE=$(date -u -r "$FILENAME" +%FT%TZ) +echo "NEW_DATE $NEW_DATE"These changes keep behavior but make the script safer and less noisy when no prior logs exist.
.github/workflows/call-swarms.yml-1-27 (1)
1-27: Updateactions/checkoutto v4
actions/checkout@v2is no longer the recommended version; GitHub officially recommends v4, which uses newer runtimes and replaces older behavior. Please update:- - uses: actions/checkout@v2 + - uses: actions/checkout@v4accounts/swarms/Readme.md-190-193 (1)
190-193: Fix truncated IAM role ARN exampleThe example
iam_role_arn = "arn:aws:iam::916723593639:role/githubis missing the closing quote (and possibly a closing backtick/code fence). Please fix it so anyone copy-pasting the ARN gets valid syntax.
accounts/deadsg/main.tf-1-4 (1)
1-4: Either usevar.aws_regionin the provider or eliminate the variable to prevent accidental region driftThe provider is hard-coded to
us-east-2while modules receivevar.aws_region(lines 20, 42–43). Although the variable's default matches the provider region, this creates a fragile setup: ifvar.aws_regionis overridden via CLI or.tfvars, the provider remains inus-east-2while modules receive a different region, causing cross-region inconsistencies.Fix by using
var.aws_regionin the provider declaration:provider "aws" { region = var.aws_region profile = "default" }Alternatively, remove the variable and hard-code the region everywhere if multi-region is not needed.
README.md-169-173 (1)
169-173: Fix thedocker loginexample commandThis line appears malformed (extra quote and trailing repo/tag):
docker login -u AWS -p $(aws ecr get-login-password --region us-east-2) 767503528736.dkr.ecr.us-east-2.amazonaws.com' 767503528736.dkr.ecr.us-east-2.amazonaws.com/agent/eliza:latestFor clarity and correctness, it should just log in to the registry, and the image reference belongs in a separate
docker pull/docker push:docker login -u AWS -p "$(aws ecr get-login-password --region us-east-2)" 767503528736.dkr.ecr.us-east-2.amazonaws.com # e.g. # docker push 767503528736.dkr.ecr.us-east-2.amazonaws.com/agent/eliza:latestAs written, the command will fail.
environments/swarms-deploy/dev/us-east-1/components/autoscaling_group/main.tf-68-99 (1)
68-99: Removeresource_labelfrom ASG predefined metrics in predictive scaling policyThe
predictive-scalingblock incorrectly includesresource_labelin bothpredefined_scaling_metric_specificationandpredefined_load_metric_specification. ASG predefined metrics likeASGAverageCPUUtilizationandASGTotalCPUUtilizationdo not support theresource_labelparameter—it is only valid for ALB target-group-based metrics. Remove bothresource_labellines to resolve the configuration error.logs/parse.py-15-20 (1)
15-20: Remove AWS credential patterns from comments.The example JSON in comments contains an AWS access key ID pattern (
ASIA5K4H36GT4C65HRZX). Even as example data, this triggers security scanners and should be sanitized.Replace with placeholder like
AKIAIOSFODNN7EXAMPLE.environments/eliza-agent-api/components/cognito_user_pool/main.tf-34-36 (1)
34-36: Use professional language in user-facing email subject.The email subject "Here, your verification code baby" is unprofessional and may confuse users or appear as spam.
- email_subject = "Here, your verification code baby" + email_subject = "Your verification code"environments/eliza-agent-api/main.tf-89-92 (1)
89-92: Hardcoded name overrides the variable.The
nameparameter is hardcoded to"docker-agent-ami"instead of usingvar.namewhich is passed into this module. This appears unintentional.- name = "docker-agent-ami" + name = var.name
| locals { ami_name = "ubuntu-minimal/images/hvm-ssd-gp3/ubuntu-noble-24.04-arm64-minimal-*" } | ||
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| data "aws_ami" "ami" { # slow | ||
| most_recent = true | ||
| name_regex = "^${local.ami_name}" | ||
| } | ||
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| locals { | ||
| # hard coded to save time , fixme use a caching system | ||
| ami_id = data.aws_ami.ami.id | ||
| } |
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🌐 Web query:
Canonical owner ID AWS AMI Ubuntu images
💡 Result:
Canonical's AWS owner IDs for official Ubuntu (Canonical) AMIs:
- Global (default) partition: 099720109477. [1]
- GovCloud (US): 513442679011. [1]
- China partition: 837727238323. [2]
You can also confirm via SSM parameter /aws/service/canonical/meta/publisher-id or by checking an AMI's OwnerId with aws ec2 describe-images. [1][2]
Sources: [1] Ubuntu documentation — Find Ubuntu images on AWS; [2] Ubuntu Community/EC2 cloud-images docs.
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Add owners filter to AMI data source to restrict lookup to trusted publisher
The data "aws_ami" "ami" block at lines 8–11 filters by name_regex and most_recent but does not specify an owners filter:
data "aws_ami" "ami" {
most_recent = true
name_regex = "^${local.ami_name}"
}Without an explicit owners constraint, this lookup can match any AMI with a matching name, including images not published by Canonical. Add the owner ID to restrict to official Ubuntu images:
data "aws_ami" "ami" {
most_recent = true
name_regex = "^${local.ami_name}"
owners = ["099720109477"] # Canonical
}Re-run terraform plan to confirm the data source still resolves the intended AMI.
🤖 Prompt for AI Agents
In accounts/deadsg/main.tf around lines 6 to 17, the aws_ami data source filters
by name_regex and most_recent but lacks an owners filter; update the data
"aws_ami" "ami" block to include the Canonical owner ID (099720109477) in the
owners attribute so the lookup is restricted to official Ubuntu images, then run
terraform plan to verify the AMI still resolves correctly.
| locals { | ||
| # hard coded to save time , fixme use a caching system | ||
| ami_id = "ami-0325b9a2dfb474b2d" for ami_name = "ubuntu-minimal/images/hvm-ssd-gp3/ubuntu-noble-24.04-amd64-minimal-*" } | ||
| ami_id = "ami-0e44962f5c9a2baab" | ||
| } |
There was a problem hiding this comment.
Critical syntax error in locals block.
This locals block has invalid HCL syntax. Line 70 contains a malformed comment embedded in the assignment and a duplicate ami_id key. This will cause Terraform to fail.
locals {
- # hard coded to save time , fixme use a caching system
- ami_id = "ami-0325b9a2dfb474b2d" for ami_name = "ubuntu-minimal/images/hvm-ssd-gp3/ubuntu-noble-24.04-amd64-minimal-*" }
- ami_id = "ami-0e44962f5c9a2baab"
+ # hard coded to save time, fixme use a caching system
+ # for ami_name = "ubuntu-minimal/images/hvm-ssd-gp3/ubuntu-noble-24.04-amd64-minimal-*"
+ ami_id = "ami-0e44962f5c9a2baab"
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| locals { | |
| # hard coded to save time , fixme use a caching system | |
| ami_id = "ami-0325b9a2dfb474b2d" for ami_name = "ubuntu-minimal/images/hvm-ssd-gp3/ubuntu-noble-24.04-amd64-minimal-*" } | |
| ami_id = "ami-0e44962f5c9a2baab" | |
| } | |
| locals { | |
| # hard coded to save time, fixme use a caching system | |
| # for ami_name = "ubuntu-minimal/images/hvm-ssd-gp3/ubuntu-noble-24.04-amd64-minimal-*" | |
| ami_id = "ami-0e44962f5c9a2baab" | |
| } |
🤖 Prompt for AI Agents
In accounts/mdupont/main.tf around lines 68 to 72, the locals block contains
invalid HCL (a malformed inline comment inside an assignment, duplicated ami_id
keys, and mismatched braces); fix it by removing the inline comment from the
assignment, choose a single ami_id (or convert to a map/object if you need to
keep multiple values), ensure proper HCL syntax with one closing brace for the
locals block, and move explanatory comments to separate lines prefixed with # or
// above the assignments.
| module "ssm_observer" { | ||
| source = "../../modules/aws/ssm/observability" | ||
| ami_id = data.aws_ami.ami.id | ||
| aws_region = var.aws_region | ||
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||
| } |
There was a problem hiding this comment.
Reference to undefined variable var.aws_region.
var.aws_region is referenced but not declared in this file. This will cause a Terraform error.
Either add the variable declaration or use local.region:
module "ssm_observer" {
source = "../../modules/aws/ssm/observability"
ami_id = data.aws_ami.ami.id
- aws_region = var.aws_region
+ aws_region = local.region
}Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In accounts/mdupont/main.tf around lines 74 to 79, the module call references
var.aws_region which is not declared; either declare a variable aws_region in
this file (add a variable "aws_region" block and pass appropriate default or
expect assignment) or replace var.aws_region with the existing local.region (or
whichever local holds the region) so the module receives a defined value; update
the file to include one of these fixes and run terraform validate to confirm.
| module "eliza_server" { | ||
| #count = 0 | ||
| #aws_account_id = local.account | ||
| aws_account_id =var.aws_account_id | ||
| region = local.region | ||
| ssm_region = local.region | ||
| source = "../../environments/eliza-agent-api" | ||
| domain = local.dns | ||
| # key_name = "mdupont-deployer-key" | ||
| branch = "feature/arm64_fastembed" | ||
| project = "tine" | ||
| instance_types = ["t4g.small"] # not big enough for building | ||
| #instance_types = ["t4g.medium"] | ||
| repo = "https://github.com/meta-introspector/cloud-deployment-eliza/" | ||
| aws_availability_zones =["us-east-2a", | ||
| "us-east-2b", | ||
| "us-east-2c" | ||
| ] | ||
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| depends_on = [ | ||
| # module.ssm_setup. | ||
| #│ arn:aws:ssm:ap-south-2:084375543224:parameter/cloudwatch-agent/config/details | ||
| module.ssm_observer #.aws_ssm_parameter.cw_agent_config, | ||
| # module.ssm_observer.aws_ssm_parameter.cw_agent_config_details | ||
| ] | ||
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| spot_max_price= 0.01 | ||
| ami_id = data.aws_ami.ami.id | ||
| name = "eliza" | ||
| tags = { project = "eliza" } | ||
| } |
There was a problem hiding this comment.
Reference to undefined variable var.aws_account_id.
var.aws_account_id is used at lines 94 and 160 but no variable declaration exists in this file.
Add the missing variable declaration:
variable "aws_account_id" {
type = string
description = "AWS Account ID for the deployment"
}🤖 Prompt for AI Agents
In accounts/mdupont/main.tf around lines 91 to 121 (and also referenced at
~160), the module uses var.aws_account_id but no variable is declared; add a
variable declaration named aws_account_id of type string with an appropriate
description (e.g., "AWS Account ID for the deployment") — place this variable
block in this file (near other variables) or in a variables.tf in the same
module so Terraform recognizes var.aws_account_id.
| # Wait for the command to complete | ||
| aws ssm wait command-executed --command-id "$command_id" --region $REGION --instance $instance | ||
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| # Fetch and print the command output | ||
| fetch_command_output "$command_id" |
There was a problem hiding this comment.
🧩 Analysis chain
🌐 Web query:
aws ssm wait command-executed parameter documentation
💡 Result:
Summary of aws ssm wait command-executed:
- Purpose: polls GetCommandInvocation until the JMESPath field Status becomes "Success". [1]
- Polling behavior: polls every 5 seconds; exits with return code 255 after 20 failed checks. [1]
- Required parameters:
- --command-id (36-character command ID). [1]
- --instance-id (managed instance ID). [1]
- Optional parameter:
- --plugin-name (name of the step/plugin to check). [1]
Reference: AWS CLI documentation for ssm wait command-executed and wait subcommands. [1][2]
Sources:
[1] AWS CLI — ssm wait command-executed documentation.
[2] AWS CLI — ssm wait index (list of wait subcommands).
Fix aws ssm wait argument (--instance-id instead of --instance)
aws ssm wait command-executed requires --instance-id, not --instance. The current line will fail with an unknown option error:
aws ssm wait command-executed --command-id "$command_id" --region $REGION --instance $instanceFix:
- aws ssm wait command-executed --command-id "$command_id" --region $REGION --instance $instance
+ aws ssm wait command-executed --command-id "$command_id" --region "$REGION" --instance-id "$instance"🤖 Prompt for AI Agents
In actions/call_swarms.sh around lines 79 to 83, the aws ssm wait command uses
the invalid flag --instance instead of --instance-id; replace --instance with
--instance-id and ensure the instance variable is properly quoted (e.g.,
"$instance") so the wait call becomes aws ssm wait command-executed --command-id
"$command_id" --region "$REGION" --instance-id "$instance" to avoid the unknown
option error.
| To create a clean interface for importing constants from other modules in Terraform, you can follow the structure outlined below. This involves the use of variables and outputs to encapsulate the constants while maintaining modularity. Here's a concise example: | ||
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| ### 1. Define Variables in a `variables.tf` File | ||
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| ```hcl | ||
| variable "ami" { | ||
| description = "AMI ID for the EC2 instance" | ||
| type = string | ||
| } | ||
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| variable "name" { | ||
| description = "Name for the resources" | ||
| type = string | ||
| } | ||
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| variable "region" { | ||
| description = "AWS region" | ||
| type = string | ||
| } | ||
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| variable "ec2_subnet_id" { | ||
| description = "Subnet ID for the EC2 instance" | ||
| type = string | ||
| } | ||
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| variable "vpc_id" { | ||
| description = "VPC ID where resources are deployed" | ||
| type = string | ||
| } | ||
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| variable "tags" { | ||
| description = "Tags to assign to resources" | ||
| type = map(string) | ||
| } | ||
| ``` | ||
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| ### 2. Create a `locals.tf` File to Define Constants | ||
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| ```hcl | ||
| locals { | ||
| ami = "ami-0e2c8caa4b6378d8c" | ||
| name = "swarms" | ||
| region = "us-east-1" | ||
| ec2_subnet_id = "subnet-057c90cfe7b2e5646" | ||
| vpc_id = "vpc-04f28c9347af48b55" | ||
| tags = { | ||
| project = "swarms" | ||
| } | ||
| } | ||
| ``` | ||
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| ### 3. Outputs for Constants in an `outputs.tf` File | ||
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| ```hcl | ||
| output "ami" { | ||
| value = local.ami | ||
| } | ||
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| output "name" { | ||
| value = local.name | ||
| } | ||
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| output "region" { | ||
| value = local.region | ||
| } | ||
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| output "ec2_subnet_id" { | ||
| value = local.ec2_subnet_id | ||
| } | ||
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| output "vpc_id" { | ||
| value = local.vpc_id | ||
| } | ||
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| output "tags" { | ||
| value = local.tags | ||
| } | ||
| ``` | ||
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| ### 4. Import Variables in Other Modules | ||
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| In your main module or other resource modules, import these variables as shown below: | ||
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| ```hcl | ||
| module "constants" { | ||
| source = "./path-to-constants-module" # replace with the actual path | ||
| } | ||
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| # Use them as follows | ||
| module "security_group_instance" { | ||
| source = "terraform-aws-modules/security-group/aws" | ||
| name = "${module.constants.name}-ec2" | ||
| vpc_id = module.constants.vpc_id | ||
| # ... other configurations | ||
| } | ||
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| module "ec2" { | ||
| ami = module.constants.ami | ||
| name = module.constants.name | ||
| subnet_id = module.constants.ec2_subnet_id | ||
| # ... other configurations | ||
| } | ||
| ``` | ||
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| ### Summary | ||
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| This structure ensures that you can import and use constants across your Terraform module cleanly without hardcoding values in multiple places. Each module can reference these shared values as needed for configurations. |
There was a problem hiding this comment.
Invalid Terraform syntax - prose documentation mixed with HCL.
Lines 88-194 contain Markdown-style documentation which will cause Terraform parsing errors. If this file is intended to be executable Terraform, move the documentation to a separate README or use Terraform comments (# or /* */). If this is purely documentation (suggested by the .org extension), consider renaming to .md or .org in a docs directory.
🤖 Prompt for AI Agents
In environments/eliza-agent-api/components/machine_image/main.tf.consts.org
around lines 88-194, the file mixes Markdown/HCL prose with Terraform code
causing invalid Terraform syntax; either move the documentation out of any
Terraform-executed file into a README or docs directory and rename to .md/.org,
or convert the prose into Terraform comments (using # or /* */) and keep only
valid HCL in files that Terraform will parse so the parser sees only HCL/valid
comments.
| resource "aws_iam_policy" "lambda_scaling_policy" { | ||
| name = "${local.name}-scaling-policy" | ||
| description = "Policy to allow Lambda to manage Auto Scaling" | ||
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| policy = jsonencode({ | ||
| Version = "2012-10-17" | ||
| Statement = [{ | ||
| Action = [ | ||
| "autoscaling:DescribeAutoScalingGroups", | ||
| "autoscaling:SetDesiredCapacity" | ||
| ] | ||
| Resource = "*" | ||
| Effect = "Allow" | ||
| }] | ||
| }) | ||
| } |
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The aws_autoscaling_group.ec2_autoscaling_group resource referenced in this module is not defined
The Lambda function at line 49 references aws_autoscaling_group.ec2_autoscaling_group.name, but this resource is not defined in this component. Additionally, this resource_launchers module is not instantiated anywhere in the codebase, suggesting it may be incomplete or unused.
Before addressing the IAM policy scope issue:
- Verify if this module should be integrated into the infrastructure. If so, it needs a
variables.tffile to accept the ASG reference(s) as input. - If the module is intended to manage scaling for a specific ASG, accept the ASG ARN/ID as a variable rather than hard-coding a non-existent resource reference.
- Once the ASG is properly passed in, scope the IAM policy's
Resourcefield from"*"to the specific ASG ARN(s) provided.
The current code will fail with a Terraform error about the undefined resource.
🧰 Tools
🪛 Checkov (3.2.334)
[high] 16-31: Ensure no IAM policies documents allow "*" as a statement's resource for restrictable actions
(CKV_AWS_355)
[high] 16-31: Ensure IAM policies does not allow write access without constraints
(CKV_AWS_290)
| environment = { | ||
| AUTO_SCALING_GROUP_NAME = aws_autoscaling_group.ec2_autoscaling_group.name | ||
| } |
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🌐 Web query:
Terraform AWS provider aws_lambda_function environment block syntax
💡 Result:
Use a nested environment block with a variables map. Example:
resource "aws_lambda_function" "example" {
filename = "lambda.zip"
function_name = "my-func"
role = aws_iam_role.lambda.arn
handler = "index.handler"
runtime = "python3.11"
environment {
variables = {
ENV_VAR_1 = "value1"
ENV_VAR_2 = var.some_value
}
}
}
Notes:
- The variables map is a map(string) of key = value pairs; values are literal strings (use Terraform variables or sensitive handling for secrets). [1][2][3]
Sources:
[1] Example usage showing environment { variables = { ... } }. [turn0search4]
[2] AWS Lambda docs on environment variables and security guidance. [turn1search5]
[3] terraform-aws-lambda module and docs showing environment map usage. [turn1search7]
🌐 Web query:
Terraform aws_lambda_function environment block vs assignment syntax HCL
💡 Result:
Short answer
- For the aws_lambda_function resource you must use the nested block form:
environment { variables = { KEY = "value" } }. [1][2] - Some community modules (or your own module inputs) instead accept a map input (commonly named environment_variables or environment_variables = {...}) — in that case you pass a map to the module variable, not an environment block inside the module call. [3]
Why
- Terraform HCL distinguishes arguments (name = value) from nested blocks (name { ... }). The Lambda resource defines environment as a nested block with a variables map inside it, so the block form is required. [1][2]
Examples
-
Resource (correct):
resource "aws_lambda_function" "fn" {
...
environment {
variables = {
API_KEY = "secret"
ENV = "prod"
}
}
} [2] -
Module (common pattern — correct if module defines a map variable):
module "lambda" {
source = "..."
environment_variables = {
API_KEY = "secret"
ENV = "prod"
}
} [3]
Sources
- Terraform HCL syntax: arguments vs blocks. [HashiCorp]. [1]
- aws_lambda_function resource example showing environment { variables = {...} }. [Provider docs / examples]. [2]
- Example/answer showing modules often expose environment_variables as a map input (Stack Overflow / module docs). [3]
🌐 Web query:
Terraform aws_lambda_function environment = { } syntax valid terraform validate
💡 Result:
Short answer: No — you must use the environment block form, not an attribute assignment. Example valid syntax:
environment {
variables = {
KEY = "value"
}
}
Notes:
- If you pass null for variables Terraform will error ("At least one field is expected inside environment"). Use an empty map {} (or omit the block) — but some modules/documentation warn AWS/older providers may not accept a truly empty map and modules use a placeholder to avoid problems. [1][2][3]
Sources:
[1] aws_lambda_function docs (environment.variables is a map). [2] Stack Overflow — "At least one field is expected inside environment" (error when var is null). [3] Gruntwork docs — note about AWS not permitting an empty map so modules sometimes use a placeholder.
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Fix environment block shape for Lambda (current config is invalid)
The environment argument on aws_lambda_function must be a nested block with a variables map, not a bare map. The current syntax using environment = { ... } will fail terraform validate and terraform apply.
Suggested change:
resource "aws_lambda_function" "scale_lambda" {
# ...
- environment = {
- AUTO_SCALING_GROUP_NAME = aws_autoscaling_group.ec2_autoscaling_group.name
- }
+ environment {
+ variables = {
+ AUTO_SCALING_GROUP_NAME = aws_autoscaling_group.ec2_autoscaling_group.name
+ }
+ }
}🤖 Prompt for AI Agents
In environments/eliza-agent-api/components/resource_launchers/main.tf around
lines 48-50 the aws_lambda_function resource uses an invalid environment
argument shape (a bare map). Replace the current environment = { ... } map with
the required nested block form: environment { variables = { ... } } so
AUTO_SCALING_GROUP_NAME is placed inside variables; update indentation
accordingly and run terraform validate.
| variable name {} | ||
| #variable ami_name {} | ||
| variable branch {} | ||
| variable git_repo {} | ||
|
|
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🌐 Web query:
Terraform variable declaration syntax quotes required HCL
💡 Result:
Short answer: The variable block's label (the variable name) is written as a quoted string: variable "my_name" { ... }. When referencing the variable you use var.my_name (no quotes). In tfvars or -var assignments, string values themselves must be quoted (e.g., my_name = "value"). See HashiCorp docs for the variable block and examples. [1][2][3]
Examples:
- Declaration: variable "instance_type" { type = string default = "t2.micro" }. [1][2]
- Reference: instance_type = var.instance_type. [1][2]
- tfvars value file: instance_type = "t2.micro". [3]
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Variable declarations use invalid unquoted syntax that will fail Terraform validation
The first four variables (lines 1-4) are declared without quotes:
variable name {}
variable branch {}
variable git_repo {}Terraform requires variable labels to be quoted strings. This syntax is invalid and will prevent the configuration from parsing. All other variables in the file (lines 6+) correctly use variable "name" {} format.
Fix by adding quotes:
-variable name {}
-variable branch {}
-variable git_repo {}
+variable "name" {}
+variable "branch" {}
+variable "git_repo" {}🤖 Prompt for AI Agents
In environments/eliza-agent-api/eliza/main.tf around lines 1 to 5, the Terraform
variable declarations use unquoted labels (e.g., variable name {}), which is
invalid; update each to use quoted labels (e.g., variable "name" {}) for name,
branch, and git_repo (and remove or properly comment/uncomment any unused
variable lines like ami_name) so the file parses and validates.
| if (lpth == 6) and (path[0] in ["CloudTrailEvent"]) and (path[1] in ["userIdentity"]) and (path[2] in ["sessionContext"]) and (path[3] in ["sessionIssuer"]) and (path[4] in ["userName"]) : | ||
| if path[5] in ["aws:ec2-infrastructure", | ||
| "aws:ec2-instance", | ||
| "AWSServiceRoleForAmazonSSM" | ||
| "AWSServiceRoleForAutoScaling", | ||
| "AWSServiceRoleForCloudWatchApplicationSignals", | ||
| "AWSServiceRoleForConfig", | ||
| "AWSServiceRoleForResourceExplorer", | ||
| "github", | ||
| "ssm-swarms-role"]: | ||
| interesting =1 |
There was a problem hiding this comment.
Missing comma causes string concatenation bug.
Line 1230 is missing a comma after "AWSServiceRoleForAmazonSSM", which causes Python to silently concatenate it with the next string, resulting in "AWSServiceRoleForAmazonSSMAWSServiceRoleForAutoScaling".
if path[5] in ["aws:ec2-infrastructure",
"aws:ec2-instance",
- "AWSServiceRoleForAmazonSSM"
+ "AWSServiceRoleForAmazonSSM",
"AWSServiceRoleForAutoScaling",📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| if (lpth == 6) and (path[0] in ["CloudTrailEvent"]) and (path[1] in ["userIdentity"]) and (path[2] in ["sessionContext"]) and (path[3] in ["sessionIssuer"]) and (path[4] in ["userName"]) : | |
| if path[5] in ["aws:ec2-infrastructure", | |
| "aws:ec2-instance", | |
| "AWSServiceRoleForAmazonSSM" | |
| "AWSServiceRoleForAutoScaling", | |
| "AWSServiceRoleForCloudWatchApplicationSignals", | |
| "AWSServiceRoleForConfig", | |
| "AWSServiceRoleForResourceExplorer", | |
| "github", | |
| "ssm-swarms-role"]: | |
| interesting =1 | |
| if (lpth == 6) and (path[0] in ["CloudTrailEvent"]) and (path[1] in ["userIdentity"]) and (path[2] in ["sessionContext"]) and (path[3] in ["sessionIssuer"]) and (path[4] in ["userName"]) : | |
| if path[5] in ["aws:ec2-infrastructure", | |
| "aws:ec2-instance", | |
| "AWSServiceRoleForAmazonSSM", | |
| "AWSServiceRoleForAutoScaling", | |
| "AWSServiceRoleForConfig", | |
| "AWSServiceRoleForResourceExplorer", | |
| "github", | |
| "ssm-swarms-role"]: | |
| interesting =1 |
🧰 Tools
🪛 Ruff (0.14.8)
1236-1236: Local variable interesting is assigned to but never used
Remove assignment to unused variable interesting
(F841)
🤖 Prompt for AI Agents
In logs/parse.py around lines 1226 to 1236, the list of strings in the path[5]
check is missing a comma after "AWSServiceRoleForAmazonSSM", which causes two
entries to be concatenated; fix it by inserting a comma after
"AWSServiceRoleForAmazonSSM" so each role is a separate list element (optionally
reformat the list for readability and run a linter/test to confirm the fix).
3 participants
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