Auto Lambda Env

auto-lambda-env

Set environment variables on AI automation Lambda functions. Interactively collects secrets and operational values, then applies them via AWS CLI. Reads function names and pre-filled values from .ai/automation/infra.json.

easingthemes/dx-aem-flow·0installs6starsProductivity & Planning

SKILL.md

Full skill instructions

You set Lambda environment variables for the AI automation agents. There are 2 consolidated router Lambda functions: WI Router (work-item webhook events) and PR Router (pull-request webhook events). Values are collected interactively (secrets are never written to files). Applies all variables in a single aws lambda update-function-configuration call per function.

0. Prerequisites

Read .ai/automation/infra.json. Check automationProfile:

If consumer (or legacy pr-only/pr-delegation): "This repo uses the consumer profile — Lambda environment variables are managed by the hub project. Do NOT modify Lambda env vars from this repo." STOP.

source .ai/lib/audit.sh
export AUDIT_LOG_PREFIX=infra

Pre-fill these from infra.json (don't ask for values already known):

DYNAMODB_DEDUPE_TABLE ← storage.dynamodb.dedupe.tableName
DYNAMODB_RATE_LIMIT_TABLE ← storage.dynamodb.rateLimits.tableName
SQS_DLQ_URL ← storage.sqs.dlq.queueUrl
ADO_DOD_PIPELINE_ID ← pipelines.dod.id (WI Router)
ADO_QA_PIPELINE_ID ← pipelines.qa.id (WI Router)
ADO_DEV_PIPELINE_ID ← pipelines.devagent.id (WI Router)
ADO_DOC_PIPELINE_ID ← pipelines.docagent.id (WI Router)
ADO_ESTIMATION_PIPELINE_ID ← pipelines.estimation.id (WI Router)
ADO_PR_ANSWER_PIPELINE_MAP ← JSON map of repo→pipeline-id (PR Router)
ADO_ORG_URL ← adoOrg (PR Router)
MY_IDENTITIES ← from infra.json if set (PR Router)

1. Collect Secrets

Ask these one at a time — these cannot be pre-filled from infra.json:

ADO Personal Access Token? (secret — Lambda env var ADO_PAT) This PAT needs: Work Items read, Code read, Pull Requests read+contribute, Project read.

Webhook basic auth username? (Lambda env var BASIC_USER) Example: automation-webhook. Must match what you'll set in ADO Service Hooks.

Webhook basic auth password? (secret — Lambda env var BASIC_PASS) Suggest generating: openssl rand -base64 24

Webhook secret? (secret — Lambda env var WEBHOOK_SECRET) Suggest generating: openssl rand -base64 32

DoD trigger tag? (Lambda env var TAG_GATE_DOD — WI Router) Default: KAI-DOD-AUTOMATION

QA trigger tag? (Lambda env var TAG_GATE_QA — WI Router) Default: KAI-QA-AUTOMATION

DevAgent trigger tag? (Lambda env var TAG_GATE_DEV — WI Router) Default: KAI-DEV-AUTOMATION

DOCAgent trigger tag? (Lambda env var TAG_GATE_DOC — WI Router) Default: KAI-DOC-AUTOMATION

Estimation trigger tag? (Lambda env var TAG_GATE_ESTIMATION — WI Router) Default: KAI-ESTIMATION-AUTOMATION

SimpleAgent has no trigger tag here. SimpleAgent is not Lambda-routed — it uses an Azure-native Service Hook (@kai-simple comment) configured by /auto-webhooks. Do not ask for a TAG_GATE_SIMPLE.

2. Apply to WI Router Lambda

The WI Router (<PREFIX>-WI-Router) handles tagged work-item webhook events and routes to the appropriate pipeline (DoD, QA, DevAgent, DOCAgent, Estimation) based on tag gates. DoR and BugFix are NOT routed here — they use Azure-native @kai-dor / @kai-bugfix comment hooks (no Lambda).

WI_ROUTER_FUNC=$(python3 -c "import json; print(json.load(open('.ai/automation/infra.json'))['lambdas']['wi-router']['functionName'])")
REGION=$(python3 -c "import json; print(json.load(open('.ai/automation/infra.json'))['region'])")

aws_lambda_config "$WI_ROUTER_FUNC" \
  --environment "Variables={
    ADO_PAT=<secret>,
    BASIC_USER=<user>,
    BASIC_PASS=<secret>,
    WEBHOOK_SECRET=<secret>,
    ADO_DOD_PIPELINE_ID=<pipeline-id>,
    ADO_QA_PIPELINE_ID=<pipeline-id>,
    ADO_DEV_PIPELINE_ID=<pipeline-id>,
    ADO_DOC_PIPELINE_ID=<pipeline-id>,
    ADO_ESTIMATION_PIPELINE_ID=<pipeline-id>,
    TAG_GATE_DOD=<tag>,
    TAG_GATE_QA=<tag>,
    TAG_GATE_DEV=<tag>,
    TAG_GATE_DOC=<tag>,
    TAG_GATE_ESTIMATION=<tag>,
    DYNAMODB_DEDUPE_TABLE=<table>,
    DYNAMODB_RATE_LIMIT_TABLE=<table>,
    SQS_DLQ_URL=<url>
  }" \
  --region "$REGION"

SimpleAgent routing (WI Router tag map)

The WI Router routes tagged work-item events to pipelines via a tag-to-pipeline-ID lookup. After this skill runs, the WI Router's effective routing table includes:

{
  "KAI-DOD-AUTOMATION":        "<dod-pipeline-id>",
  "KAI-QA-AUTOMATION":         "<qa-pipeline-id>",
  "KAI-DEV-AUTOMATION":        "<devagent-pipeline-id>",
  "KAI-DOC-AUTOMATION":        "<docagent-pipeline-id>",
  "KAI-ESTIMATION-AUTOMATION": "<estimation-pipeline-id>"
}

SimpleAgent is NOT Lambda-routed

SimpleAgent is not part of the WI Router (its AGENTS array has no simple entry). Its pipeline (ado-cli-simple.yml) is triggered by an Azure-native Service Hook — a comment containing @kai-simple → an Incoming WebHook service connection → the pipeline's resources.webhooks listener (configured by /auto-webhooks, not here). No TAG_GATE_SIMPLE / ADO_SIMPLE_PIPELINE_ID env vars are needed. SimpleAgent reads its own config from pipeline variables (set by /auto-pipelines — AEM_QA_URL, AEM_QA_USER, AEM_QA_PASSWORD, MCP version pins).

3. Apply to PR Router Lambda (merge-safe)

The PR Router (<PREFIX>-PR-Router) handles all pull-request webhook events. It uses ADO_PR_ANSWER_PIPELINE_MAP (JSON map of repo→pipeline-id) for routing PR answer events to the correct pipeline.

PR_ROUTER_FUNC=$(python3 -c "import json; print(json.load(open('.ai/automation/infra.json'))['lambdas']['pr-router']['functionName'])")

aws_lambda_config "$PR_ROUTER_FUNC" \
  --environment "Variables={
    ADO_PAT=<secret>,
    BASIC_USER=<user>,
    BASIC_PASS=<secret>,
    WEBHOOK_SECRET=<secret>,
    ADO_ORG_URL=<adoOrg>,
    ADO_PR_ANSWER_PIPELINE_MAP=<json-map>,
    MY_IDENTITIES=<identities>,
    DYNAMODB_DEDUPE_TABLE=<table>,
    DYNAMODB_RATE_LIMIT_TABLE=<table>,
    SQS_DLQ_URL=<url>
  }" \
  --region "$REGION"

Important: aws lambda update-function-configuration replaces ALL env vars. Always read current env vars first and merge changes, preserving existing secrets and table names.

4. Verify

# List env var KEYS only (not values — never print secrets)
for FUNC in "$WI_ROUTER_FUNC" "$PR_ROUTER_FUNC"; do
  echo "=== $FUNC ==="
  aws lambda get-function-configuration \
    --function-name "$FUNC" --region "$REGION" \
    --query 'Environment.Variables' --output json | python3 -c "
import sys, json
d = json.load(sys.stdin)
for k in sorted(d.keys()):
    print(f'  {k}: [set]')
"
done

5. Summary Report

## Lambda Environment Variables Set

| Variable | WI Router | PR Router |
|----------|-----------|-----------|
| ADO_PAT | ✓ | ✓ |
| BASIC_USER | ✓ | ✓ |
| BASIC_PASS | ✓ | ✓ |
| WEBHOOK_SECRET | ✓ | ✓ |
| ADO_DOD_PIPELINE_ID | ✓ | — |
| ADO_QA_PIPELINE_ID | ✓ | — |
| ADO_DEV_PIPELINE_ID | ✓ | — |
| ADO_DOC_PIPELINE_ID | ✓ | — |
| ADO_ESTIMATION_PIPELINE_ID | ✓ | — |
| ADO_PR_ANSWER_PIPELINE_MAP | — | ✓ |
| ADO_ORG_URL | — | ✓ |
| MY_IDENTITIES | — | ✓ |
| TAG_GATE_DOD | ✓ | — |
| TAG_GATE_QA | ✓ | — |
| TAG_GATE_DEV | ✓ | — |
| TAG_GATE_DOC | ✓ | — |
| TAG_GATE_ESTIMATION | ✓ | — |
| DYNAMODB_DEDUPE_TABLE | ✓ | ✓ |
| DYNAMODB_RATE_LIMIT_TABLE | ✓ | ✓ |
| SQS_DLQ_URL | ✓ | ✓ |

**Audit log:** `.ai/logs/infra.<week>.jsonl`

### Next step
`/auto-webhooks` — Configure ADO service hooks

Examples

/auto-lambda-env — Reads infra.json for function names and pre-filled values (DynamoDB table names, SQS URL, S3 bucket). Asks interactively for secrets (ADO PAT, Anthropic API key). Merges with existing env vars and applies to both WI-Router and PR-Router Lambda functions.
/auto-lambda-env (adding a consumer repo's pipeline ID) — Reads current env vars from WI-Router Lambda, adds a new entry to ADO_PR_ANSWER_PIPELINE_MAP for the consumer repo's PR Answer pipeline. Preserves all existing values and applies the merged configuration.
/auto-lambda-env (updating expired ADO PAT) — Asks for the new ADO PAT value. Reads current env vars, replaces only the ADO_PAT value, and applies to both Lambda functions. All other env vars remain unchanged.

Troubleshooting

"update-function-configuration replaces ALL env vars" warning Cause: AWS Lambda's update API replaces the entire environment variable set, not individual values. Fix: The skill always reads current env vars first and merges changes. If env vars are missing after an update, re-run /auto-lambda-env to restore them. Check the audit log for what was applied.
Pipeline ID mismatch warning Cause: An existing ADO_*_PIPELINE_ID value differs from the new value being set. Fix: Review the warning message — it shows old vs new values. If the pipeline was re-created, confirm the update. If the IDs should match, check /auto-pipelines output for the correct ID.
Secret values appearing in logs Cause: This should not happen — the skill only logs env var keys, never values. Fix: Check that you're using /auto-lambda-env (which uses audit wrappers) and not raw aws lambda update-function-configuration commands. The audit log records the operation but not secret values.

Rules

Always source audit.sh first — aws_lambda_config is an audit wrapper
Never print secret values — only list env var keys when verifying
Never write secrets to infra.json — only non-secret pre-filled values come from infra.json
Ask one question at a time — never combine
Derive pre-filled values from infra.json — minimise questions to user
Read before write — update-function-configuration replaces ALL env vars. Always read current env vars first and merge changes
Warn on pipeline ID overwrite — if an existing ADO_*_PIPELINE_ID differs from the new value, warn the user: "Pipeline ID will change from <old> to <new>. Proceed?" Skip if values match.

Install skill

Copy and run in your terminal

npx -y skills add https://github.com/easingthemes/dx-aem-flow --skill auto-lambda-env

View on GitHub

plugins/dx-automation/skills/auto-lambda-env/SKILL.md