SyncValsverifier → artifact → classifier → verdict
SyncVals · Trajectory

s3-sqs-image-pipeline-kms

claude-code claude-opus-4-7 ✗ failed GOOD_FAILURE ↑ View task
Solved from the instruction alone, tests/ and solution/ were withheld from the agent's workspace and restored only for grading.
Reward = tests/test.sh exit code (0 → resolved); the classification below is post-hoc and cannot change it.
Classification , post-hoc; cannot change the reward
GOOD_FAILUREHonest miss, the agent ran correctly but couldn't solve it. Expected for a hard task; the task is sound.
SubtypeImplementation Bugs
EvidenceTest failures: (1) `test_main_queue_and_dlq_exist_and_are_encrypted`: "AssertionError: ingest-dlq missing SSE-KMS" , dlq_attrs.get('KmsMasterKeyId') returned None. (2) `test_lambda_handler_returns_correct_response_shape`: "Expected the bad record msg-bad-0dc0c573 in batchItemFailures; got ids=[]. The handler must catch per-record exceptions and return the failed messageIds." Handler fails to report invalid S3 event records as batch failures.
Root causeAgent successfully set up most infrastructure and handler logic but made two implementation oversights: (1) failed to apply SSE-KMS encryption to the DLQ when creating it, despite the instruction explicitly requiring encryption on "the queue in the middle" (including DLQ), and (2) handler doesn't catch/report records with malformed S3 event bodies as failures, because invalid bodies result in empty Records arrays rather than explicit exceptions.
RecommendationN/A - task is fine. The instruction was clear, the requirements were discoverable, and the agent had all necessary information to implement both fixes correctly. These are standard AWS/Python implementation errors that a competent developer should catch through testing."
Trajectory
Tool-by-tool agent trajectory
11 tool calls · 2 tool types · 20 steps
ok, nothing's built yet and the box is empty. localstack is at `http://localstack:4566`, creds are exported (`AWS_ACCESS_KEY_ID=test`, same for secret, region `us-east-1`), you've got `aws`, `python3`, `boto3`, `jq`, `zip`, `curl`. stand the whole thing up from scratch. we're building an image-ingest pipeline. someone drops an object into a source bucket and on the other end we want a processed copy in a dest bucket plus a row in dynamodb describing it. everything has to be SSE-KMS with customer-managed keys , the bucket on the way in, the queue in the middle, and the bucket on the way out. three separate CMKs, one per boundary. least privilege throughout. the verifier reads policy docs directly, so don't wildcard your way through kms. shape of it: - PUT to the source bucket fires an s3 ObjectCreated notification - notification lands on an SQS standard queue (SSE-KMS) - a lambda consumes the queue and for each record: reads the source object, writes a processed copy to the dest bucket at `processed/<same-key>`, and writes a row to ddb with `{object_key, source_size, processed_at, status: "OK"}` - there's a DLQ behind the main queue with a redrive policy - the handler does per-record error handling , bad records get reported back individually, good records in the same batch don't get retried done looks like: one PUT to the source bucket, and within 60s, exactly one object at `processed/<key>` in the dest bucket, exactly one ddb row keyed by `object_key`, and nothing in the DLQ. keys with spaces in them have to work too (the s3 event url-encodes them , you know where this is going). also, when the handler is invoked with a batch that contains a broken record alongside a good one, only the broken record's id comes back in the response and the good one isn't retried. couple of things to be careful about: the SQS visibility timeout needs to actually cover the lambda timeout or messages get redriven into the DLQ mid-processing. and the partial-batch-failure contract has two sides , both the event source mapping and the handler response shape need to match, or the whole batch retries on any single failure. the aws docs on `ReportBatchItemFailures` are worth a glance. names the verifier grabs by hand, use them exactly: | thing | name | |-|-| | source bucket | `ingest-source-bucket` | | dest bucket | `ingest-dest-bucket` | | main queue | `ingest-events` | | dlq | `ingest-dlq` | | source bucket CMK alias | `alias/source-bucket-cmk` | | sqs CMK alias | `alias/sqs-queue-cmk` | | dest bucket CMK alias | `alias/dest-bucket-cmk` | | lambda | `image-ingest-consumer` | | lambda role | `image-ingest-lambda-role` | | ddb table | `image-ingest-records` | ddb partition key is `object_key` (string), no sort key. lambda is python3.11, handler entrypoint `handler.lambda_handler`. localstack community 4.13.1. you've got 60 minutes.

Check working directory and localstack connectivity

shell
ls /app && aws --endpoint-url=http://localstack:4566 sts get-caller-identity 2>&1 | head -20
output
{
    "UserId": "AKIAIOSFODNN7EXAMPLE",
    "Account": "000000000000",
    "Arn": "arn:aws:iam::000000000000:root"
}

[stdout]
{
    "UserId": "AKIAIOSFODNN7EXAMPLE",
    "Account": "000000000000",
    "Arn": "arn:aws:iam::000000000000:root"
}
Good, account is `000000000000`. Let me plan and build this out. I'll start by setting up variables and creating the foundational resources (KMS keys, buckets, DDB table).

List /app contents

shell
ls /app
output
(Bash completed with no output)
write · /app/handler.py
import json
import os
import logging
from datetime import datetime, timezone
from urllib.parse import unquote_plus

import boto3

log = logging.getLogger()
log.setLevel(logging.INFO)

DEST_BUCKET = os.environ["DEST_BUCKET"]
DEST_KMS_KEY_ID = os.environ["DEST_KMS_KEY_ID"]
DDB_TABLE = os.environ["DDB_TABLE"]

s3 = boto3.client("s3")
ddb = boto3.client("dynamodb")


def _process_s3_record(s3_rec):
    src_bucket = s3_rec["s3"]["bucket"]["name"]
    src_key = unquote_plus(s3_rec["s3"]["object"]["key"])

    obj = s3.get_object(Bucket=src_bucket, Key=src_key)
    body = obj["Body"].read()
    size = len(body)

    dest_key = f"processed/{src_key}"
    s3.put_object(
        Bucket=DEST_BUCKET,
        Key=dest_key,
        Body=body,
        ServerSideEncryption="aws:kms",
        SSEKMSKeyId=DEST_KMS_KEY_ID,
    )

    ddb.put_item(
        TableName=DDB_TABLE,
        Item={
            "object_key": {"S": src_key},
            "source_size": {"N": str(size)},
            "processed_at": {"S": datetime.now(timezone.utc).isoformat()},
            "status": {"S": "OK"},
        },
    )


def lambda_handler(event, context):
    failures = []
    for record in event.get("Records", []):
        message_id = record["messageId"]
        try:
            body = json.loads(record["body"])
            # Direct S3 event notifications have Records at top level.
            # Skip S3 test events (contain "Event": "s3:TestEvent").
            if body.get("Event") == "s3:TestEvent":
                continue
            s3_records = body.get("Records", [])
            for s3_rec in s3_records:
                _process_s3_record(s3_rec)
        except Exception as e:
            log.exception("failed processing message %s: %s", message_id, e)
            failures.append({"itemIdentifier": message_id})

    return {"batchItemFailures": failures}
Now let me build the KMS keys, buckets, queues, DDB table, IAM, and lambda step by step.
write · /app/setup.sh
#!/usr/bin/env bash
set -euo pipefail

export AWS_ACCESS_KEY_ID=test
export AWS_SECRET_ACCESS_KEY=test
export AWS_DEFAULT_REGION=us-east-1

EP=http://localstack:4566
AWS="aws --endpoint-url=$EP"
ACCOUNT=000000000000
REGION=us-east-1

SRC_BUCKET=ingest-source-bucket
DST_BUCKET=ingest-dest-bucket
MAIN_QUEUE=ingest-events
DLQ=ingest-dlq
TABLE=image-ingest-records
FN=image-ingest-consumer
ROLE=image-ingest-lambda-role

ROLE_ARN="arn:aws:iam::${ACCOUNT}:role/${ROLE}"

echo "== creating KMS keys =="

# Source bucket CMK: root admin + lambda role decrypt
cat >/tmp/src-key-policy.json <<EOF
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "RootAdmin",
      "Effect": "Allow",
      "Principal": {"AWS": "arn:aws:iam::${ACCOUNT}:root"},
      "Action": "kms:*",
      "Resource": "*"
    },
    {
      "Sid": "LambdaDecrypt",
      "Effect": "Allow",
      "Principal": {"AWS": "${ROLE_ARN}"},
      "Action": ["kms:Decrypt", "kms:DescribeKey"],
      "Resource": "*"
    }
  ]
}
EOF

SRC_KMS_ID=$($AWS kms create-key --description "source bucket cmk" \
  --policy file:///tmp/src-key-policy.json --query KeyMetadata.KeyId --output text)
$AWS kms create-alias --alias-name alias/source-bucket-cmk --target-key-id $SRC_KMS_ID
SRC_KMS_ARN="arn:aws:kms:${REGION}:${ACCOUNT}:key/${SRC_KMS_ID}"
echo "src kms: $SRC_KMS_ARN"

# SQS CMK: root admin + lambda decrypt + s3 service to encrypt
cat >/tmp/sqs-key-policy.json <<EOF
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "RootAdmin",
      "Effect": "Allow",
      "Principal": {"AWS": "arn:aws:iam::${ACCOUNT}:root"},
      "Action": "kms:*",
      "Resource": "*"
    },
    {
      "Sid": "S3Publisher",
      "Effect": "Allow",
      "Principal": {"Service": "s3.amazonaws.com"},
      "Action": ["kms:GenerateDataKey", "kms:Decrypt"],
      "Resource": "*"
    },
    {
      "Sid": "LambdaConsumer",
      "Effect": "Allow",
      "Principal": {"AWS": "${ROLE_ARN}"},
      "Action": ["kms:Decrypt", "kms:GenerateDataKey", "kms:DescribeKey"],
      "Resource": "*"
    }
  ]
}
EOF

SQS_KMS_ID=$($AWS kms create-key --description "sqs queue cmk" \
  --policy file:///tmp/sqs-key-policy.json --query KeyMetadata.KeyId --output text)
$AWS kms create-alias --alias-name alias/sqs-queue-cmk --target-key-id $SQS_KMS_ID
SQS_KMS_ARN="arn:aws:kms:${REGION}:${ACCOUNT}:key/${SQS_KMS_ID}"
echo "sqs kms: $SQS_KMS_ARN"

# Dest bucket CMK: root admin + lambda encrypt/generate
cat >/tmp/dst-key-policy.json <<EOF
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "RootAdmin",
      "Effect": "Allow",
      "Principal": {"AWS": "arn:aws:iam::${ACCOUNT}:root"},
      "Action": "kms:*",
      "Resource": "*"
    },
    {
      "Sid": "LambdaEncrypt",
      "Effect": "Allow",
      "Principal": {"AWS": "${ROLE_ARN}"},
      "Action": ["kms:Encrypt", "kms:GenerateDataKey", "kms:DescribeKey"],
      "Resource": "*"
    }
  ]
}
EOF

DST_KMS_ID=$($AWS kms create-key --description "dest bucket cmk" \
  --policy file:///tmp/dst-key-policy.json --query KeyMetadata.KeyId --output text)
$AWS kms create-alias --alias-name alias/dest-bucket-cmk --target-key-id $DST_KMS_ID
DST_KMS_ARN="arn:aws:kms:${REGION}:${ACCOUNT}:key/${DST_KMS_ID}"
echo "dst kms: $DST_KMS_ARN"

# persist for later steps
cat >/tmp/vars.env <<EOF
SRC_KMS_ID=$SRC_KMS_ID
SRC_KMS_ARN=$SRC_KMS_ARN
SQS_KMS_ID=$SQS_KMS_ID
SQS_KMS_ARN=$SQS_KMS_ARN
DST_KMS_ID=$DST_KMS_ID
DST_KMS_ARN=$DST_KMS_ARN
EOF

echo "== creating DynamoDB table =="
$AWS dynamodb create-table \
  --table-name $TABLE \
  --attribute-definitions AttributeName=object_key,AttributeType=S \
  --key-schema AttributeName=object_key,KeyType=HASH \
  --billing-mode PAY_PER_REQUEST >/dev/null

echo "== creating buckets =="
$AWS s3api create-bucket --bucket $SRC_BUCKET >/dev/null
$AWS s3api create-bucket --bucket $DST_BUCKET >/dev/null

# SSE-KMS default encryption on both buckets
cat >/tmp/src-enc.json <<EOF
{"Rules":[{"ApplyServerSideEncryptionByDefault":{"SSEAlgorithm":"aws:kms","KMSMasterKeyID":"$SRC_KMS_ARN"},"BucketKeyEnabled":true}]}
EOF
$AWS s3api put-bucket-encryption --bucket $SRC_BUCKET \
  --server-side-encryption-configuration file:///tmp/src-enc.json

cat >/tmp/dst-enc.json <<EOF
{"Rules":[{"ApplyServerSideEncryptionByDefault":{"SSEAlgorithm":"aws:kms","KMSMasterKeyID":"$DST_KMS_ARN"},"BucketKeyEnabled":true}]}
EOF
$AWS s3api put-bucket-encryption --bucket $DST_BUCKET \
  --server-side-encryption-configuration file:///tmp/dst-enc.json

echo "setup phase 1 done"

Run setup phase 1 (KMS, buckets, DDB)

shell
chmod +x /app/setup.sh && /app/setup.sh
output
== creating KMS keys ==
src kms: arn:aws:kms:us-east-1:000000000000:key/847ef935-4c89-4062-9a64-0fa287872abf
sqs kms: arn:aws:kms:us-east-1:000000000000:key/e804f3a5-69ae-4a4f-837b-e697f6ff7aed
dst kms: arn:aws:kms:us-east-1:000000000000:key/556f224f-5424-4e9f-828a-e4d991fc71c4
== creating DynamoDB table ==
== creating buckets ==
setup phase 1 done

[stdout]
== creating KMS keys ==
src kms: arn:aws:kms:us-east-1:000000000000:key/847ef935-4c89-4062-9a64-0fa287872abf
sqs kms: arn:aws:kms:us-east-1:000000000000:key/e804f3a5-69ae-4a4f-837b-e697f6ff7aed
dst kms: arn:aws:kms:us-east-1:000000000000:key/556f224f-5424-4e9f-828a-e4d991fc71c4
== creating DynamoDB table ==
== creating buckets ==
setup phase 1 done
Phase 1 done. Now queues, IAM role, Lambda, and wiring.
write · /app/setup2.sh
#!/usr/bin/env bash
set -euo pipefail

export AWS_ACCESS_KEY_ID=test
export AWS_SECRET_ACCESS_KEY=test
export AWS_DEFAULT_REGION=us-east-1

EP=http://localstack:4566
AWS="aws --endpoint-url=$EP"
ACCOUNT=000000000000
REGION=us-east-1

SRC_BUCKET=ingest-source-bucket
DST_BUCKET=ingest-dest-bucket
MAIN_QUEUE=ingest-events
DLQ=ingest-dlq
TABLE=image-ingest-records
FN=image-ingest-consumer
ROLE=image-ingest-lambda-role

# load vars
source /tmp/vars.env

ROLE_ARN="arn:aws:iam::${ACCOUNT}:role/${ROLE}"
MAIN_ARN="arn:aws:sqs:${REGION}:${ACCOUNT}:${MAIN_QUEUE}"
DLQ_ARN="arn:aws:sqs:${REGION}:${ACCOUNT}:${DLQ}"
SRC_ARN="arn:aws:s3:::${SRC_BUCKET}"
DST_ARN="arn:aws:s3:::${DST_BUCKET}"
TABLE_ARN="arn:aws:dynamodb:${REGION}:${ACCOUNT}:table/${TABLE}"

echo "== creating DLQ =="
$AWS sqs create-queue --queue-name $DLQ >/dev/null

echo "== creating main queue with SSE-KMS + redrive =="
REDRIVE=$(printf '{"deadLetterTargetArn":"%s","maxReceiveCount":"3"}' "$DLQ_ARN")
$AWS sqs create-queue --queue-name $MAIN_QUEUE \
  --attributes "{\"VisibilityTimeout\":\"90\",\"KmsMasterKeyId\":\"$SQS_KMS_ARN\",\"RedrivePolicy\":$(echo $REDRIVE | jq -Rs .)}" \
  >/dev/null

# queue policy allowing s3 source bucket to SendMessage
cat >/tmp/queue-policy.json <<EOF
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "AllowS3Publish",
      "Effect": "Allow",
      "Principal": {"Service": "s3.amazonaws.com"},
      "Action": "sqs:SendMessage",
      "Resource": "${MAIN_ARN}",
      "Condition": {
        "ArnLike": {"aws:SourceArn": "${SRC_ARN}"}
      }
    }
  ]
}
EOF

POLICY_JSON=$(cat /tmp/queue-policy.json | jq -Rs .)
$AWS sqs set-queue-attributes --queue-url ${EP}/000000000000/${MAIN_QUEUE} \
  --attributes "{\"Policy\":${POLICY_JSON}}"

echo "== creating IAM role =="
cat >/tmp/trust.json <<'EOF'
{"Version":"2012-10-17","Statement":[{"Effect":"Allow","Principal":{"Service":"lambda.amazonaws.com"},"Action":"sts:AssumeRole"}]}
EOF
$AWS iam create-role --role-name $ROLE --assume-role-policy-document file:///tmp/trust.json >/dev/null

cat >/tmp/role-policy.json <<EOF
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "Logs",
      "Effect": "Allow",
      "Action": ["logs:CreateLogGroup", "logs:CreateLogStream", "logs:PutLogEvents"],
      "Resource": "arn:aws:logs:${REGION}:${ACCOUNT}:*"
    },
    {
      "Sid": "SQSConsume",
      "Effect": "Allow",
      "Action": [
        "sqs:ReceiveMessage",
        "sqs:DeleteMessage",
        "sqs:GetQueueAttributes",
        "sqs:ChangeMessageVisibility"
      ],
      "Resource": "${MAIN_ARN}"
    },
    {
      "Sid": "S3Read",
      "Effect": "Allow",
      "Action": "s3:GetObject",
      "Resource": "${SRC_ARN}/*"
    },
    {
      "Sid": "S3Write",
      "Effect": "Allow",
      "Action": "s3:PutObject",
      "Resource": "${DST_ARN}/*"
    },
    {
      "Sid": "DdbWrite",
      "Effect": "Allow",
      "Action": "dynamodb:PutItem",
      "Resource": "${TABLE_ARN}"
    },
    {
      "Sid": "KMSSourceDecrypt",
      "Effect": "Allow",
      "Action": ["kms:Decrypt", "kms:DescribeKey"],
      "Resource": "${SRC_KMS_ARN}"
    },
    {
      "Sid": "KMSSqsDecrypt",
      "Effect": "Allow",
      "Action": ["kms:Decrypt", "kms:GenerateDataKey", "kms:DescribeKey"],
      "Resource": "${SQS_KMS_ARN}"
    },
    {
      "Sid": "KMSDestEncrypt",
      "Effect": "Allow",
      "Action": ["kms:Encrypt", "kms:GenerateDataKey", "kms:DescribeKey"],
      "Resource": "${DST_KMS_ARN}"
    }
  ]
}
EOF
$AWS iam put-role-policy --role-name $ROLE --policy-name ${ROLE}-policy \
  --policy-document file:///tmp/role-policy.json

echo "== packaging lambda =="
cd /app
cp handler.py /tmp/handler.py
(cd /tmp && zip -q handler.zip handler.py)

echo "== creating lambda =="
$AWS lambda create-function \
  --function-name $FN \
  --runtime python3.11 \
  --role $ROLE_ARN \
  --handler handler.lambda_handler \
  --timeout 30 \
  --zip-file fileb:///tmp/handler.zip \
  --environment "Variables={DEST_BUCKET=${DST_BUCKET},DEST_KMS_KEY_ID=${DST_KMS_ARN},DDB_TABLE=${TABLE}}" \
  >/dev/null

# wait for active
for i in $(seq 1 30); do
  state=$($AWS lambda get-function --function-name $FN --query Configuration.State --output text 2>/dev/null || echo pending)
  [ "$state" = "Active" ] && break
  sleep 1
done
echo "lambda state: $state"

echo "== event source mapping SQS -> Lambda with partial batch failures =="
$AWS lambda create-event-source-mapping \
  --function-name $FN \
  --event-source-arn $MAIN_ARN \
  --batch-size 10 \
  --function-response-types ReportBatchItemFailures \
  >/dev/null

echo "== S3 bucket notification -> SQS =="
cat >/tmp/notif.json <<EOF
{
  "QueueConfigurations": [
    {
      "Id": "ingest-created",
      "QueueArn": "${MAIN_ARN}",
      "Events": ["s3:ObjectCreated:*"]
    }
  ]
}
EOF
$AWS s3api put-bucket-notification-configuration --bucket $SRC_BUCKET \
  --notification-configuration file:///tmp/notif.json

echo "setup phase 2 done"

Run setup phase 2 (queues, IAM, Lambda, wiring)

shell
chmod +x /app/setup2.sh && /app/setup2.sh
output
== creating DLQ ==
== creating main queue with SSE-KMS + redrive ==
== creating IAM role ==
== packaging lambda ==
== creating lambda ==
lambda state: Active
== event source mapping SQS -> Lambda with partial batch failures ==
== S3 bucket notification -> SQS ==
setup phase 2 done

[stdout]
== creating DLQ ==
== creating main queue with SSE-KMS + redrive ==
== creating IAM role ==
== packaging lambda ==
== creating lambda ==
lambda state: Active
== event source mapping SQS -> Lambda with partial batch failures ==
== S3 bucket notification -> SQS ==
setup phase 2 done
Now let me verify end-to-end: basic PUT, then a key-with-space PUT, then a mixed-batch invocation.

End-to-end test 1: simple object

shell
export AWS_ACCESS_KEY_ID=test AWS_SECRET_ACCESS_KEY=test AWS_DEFAULT_REGION=us-east-1
EP=http://localstack:4566
AWS="aws --endpoint-url=$EP"

echo "== upload simple object =="
echo "hello world" > /tmp/a.txt
$AWS s3api put-object --bucket ingest-source-bucket --key hello.txt --body /tmp/a.txt >/dev/null

echo "== wait and check =="
for i in $(seq 1 60); do
  out=$($AWS s3api head-object --bucket ingest-dest-bucket --key processed/hello.txt 2>/dev/null || true)
  if [ -n "$out" ]; then echo "dest object found after ${i}s"; break; fi
  sleep 1
done
$AWS s3api head-object --bucket ingest-dest-bucket --key processed/hello.txt | jq '.ServerSideEncryption,.SSEKMSKeyId'
$AWS dynamodb get-item --table-name image-ingest-records --key '{"object_key":{"S":"hello.txt"}}'
echo "== dlq count =="
$AWS sqs get-queue-attributes --queue-url ${EP}/000000000000/ingest-dlq --attribute-names ApproximateNumberOfMessages
output
== upload simple object ==
== wait and check ==
dest object found after 2s
"aws:kms"
"arn:aws:kms:us-east-1:000000000000:key/556f224f-5424-4e9f-828a-e4d991fc71c4"
{
    "Item": {
        "source_size": {
            "N": "12"
        },
        "processed_at": {
            "S": "2026-04-22T09:44:22.806240+00:00"
        },
        "object_key": {
            "S": "hello.txt"
        },
        "status": {
            "S": "OK"
        }
    }
}
== dlq count ==
{
    "Attributes": {
        "ApproximateNumberOfMessages": "0"
    }
}

[stdout]
== upload simple object ==
== wait and check ==
dest object found after 2s
"aws:kms"
"arn:aws:kms:us-east-1:000000000000:key/556f224f-5424-4e9f-828a-e4d991fc71c4"
{
    "Item": {
        "source_size": {
            "N": "12"
        },
        "processed_at": {
            "S": "2026-04-22T09:44:22.806240+00:00"
        },
        "object_key": {
            "S": "hello.txt"
        },
        "status": {
            "S": "OK"
        }
    }
}
== dlq count ==
{
    "Attributes": {
        "ApproximateNumberOfMessages": "0"
    }
}
Simple path works. Now the key-with-spaces test:

E2E test 2: key with spaces

shell
export AWS_ACCESS_KEY_ID=test AWS_SECRET_ACCESS_KEY=test AWS_DEFAULT_REGION=us-east-1
EP=http://localstack:4566
AWS="aws --endpoint-url=$EP"

echo "== upload object with spaces =="
echo "pic bytes" > /tmp/b.txt
$AWS s3api put-object --bucket ingest-source-bucket --key "my holiday pic.jpg" --body /tmp/b.txt >/dev/null

for i in $(seq 1 60); do
  out=$($AWS s3api head-object --bucket ingest-dest-bucket --key "processed/my holiday pic.jpg" 2>/dev/null || true)
  if [ -n "$out" ]; then echo "dest object found after ${i}s"; break; fi
  sleep 1
done
$AWS s3api head-object --bucket ingest-dest-bucket --key "processed/my holiday pic.jpg" | jq '.ServerSideEncryption'
$AWS dynamodb get-item --table-name image-ingest-records --key '{"object_key":{"S":"my holiday pic.jpg"}}'
echo "== dlq =="
$AWS sqs get-queue-attributes --queue-url ${EP}/000000000000/ingest-dlq --attribute-names ApproximateNumberOfMessages
output
== upload object with spaces ==
dest object found after 6s
"aws:kms"
{
    "Item": {
        "source_size": {
            "N": "10"
        },
        "processed_at": {
            "S": "2026-04-22T09:44:38.767100+00:00"
        },
        "object_key": {
            "S": "my holiday pic.jpg"
        },
        "status": {
            "S": "OK"
        }
    }
}
== dlq ==
{
    "Attributes": {
        "ApproximateNumberOfMessages": "0"
    }
}

[stdout]
== upload object with spaces ==
dest object found after 6s
"aws:kms"
{
    "Item": {
        "source_size": {
            "N": "10"
        },
        "processed_at": {
            "S": "2026-04-22T09:44:38.767100+00:00"
        },
        "object_key": {
            "S": "my holiday pic.jpg"
        },
        "status": {
            "S": "OK"
        }
    }
}
== dlq ==
{
    "Attributes": {
        "ApproximateNumberOfMessages": "0"
    }
}
Key with spaces works, DDB key is decoded. Now direct-invoke test for partial batch failure handling:

Direct invoke with mixed batch

shell
export AWS_ACCESS_KEY_ID=test AWS_SECRET_ACCESS_KEY=test AWS_DEFAULT_REGION=us-east-1
EP=http://localstack:4566
AWS="aws --endpoint-url=$EP"

# first upload a real object so the good record can actually GET it
echo "batch good" > /tmp/c.txt
$AWS s3api put-object --bucket ingest-source-bucket --key "batch-good.txt" --body /tmp/c.txt >/dev/null

# Build a synthetic SQS event with one good record (real s3 put) and one bad record (nonexistent key)
cat >/tmp/event.json <<'EOF'
{
  "Records": [
    {
      "messageId": "msg-good",
      "receiptHandle": "rh-good",
      "body": "{\"Records\":[{\"eventName\":\"ObjectCreated:Put\",\"s3\":{\"bucket\":{\"name\":\"ingest-source-bucket\"},\"object\":{\"key\":\"batch-good.txt\"}}}]}",
      "attributes": {},
      "messageAttributes": {},
      "md5OfBody": "",
      "eventSource": "aws:sqs",
      "eventSourceARN": "arn:aws:sqs:us-east-1:000000000000:ingest-events",
      "awsRegion": "us-east-1"
    },
    {
      "messageId": "msg-bad",
      "receiptHandle": "rh-bad",
      "body": "{\"Records\":[{\"eventName\":\"ObjectCreated:Put\",\"s3\":{\"bucket\":{\"name\":\"ingest-source-bucket\"},\"object\":{\"key\":\"nonexistent-key-xyz.txt\"}}}]}",
      "attributes": {},
      "messageAttributes": {},
      "md5OfBody": "",
      "eventSource": "aws:sqs",
      "eventSourceARN": "arn:aws:sqs:us-east-1:000000000000:ingest-events",
      "awsRegion": "us-east-1"
    }
  ]
}
EOF

$AWS lambda invoke --function-name image-ingest-consumer \
  --payload fileb:///tmp/event.json \
  --cli-binary-format raw-in-base64-out \
  /tmp/resp.json >/dev/null
echo "response:"
cat /tmp/resp.json
output
response:
{"batchItemFailures": [{"itemIdentifier": "msg-bad"}]}

[stdout]
response:
{"batchItemFailures": [{"itemIdentifier": "msg-bad"}]}
Partial batch failure works correctly , only `msg-bad` in the response, `msg-good` was processed. Final verification:

Final verification of config

shell
export AWS_ACCESS_KEY_ID=test AWS_SECRET_ACCESS_KEY=test AWS_DEFAULT_REGION=us-east-1
EP=http://localstack:4566
AWS="aws --endpoint-url=$EP"

echo "== all 3 aliases =="
$AWS kms list-aliases --query 'Aliases[?contains(AliasName,`cmk`)].AliasName'

echo "== main queue attrs =="
$AWS sqs get-queue-attributes --queue-url ${EP}/000000000000/ingest-events \
  --attribute-names KmsMasterKeyId VisibilityTimeout RedrivePolicy

echo "== event source mapping =="
$AWS lambda list-event-source-mappings --function-name image-ingest-consumer \
  --query 'EventSourceMappings[].{State:State,Arn:EventSourceArn,Resp:FunctionResponseTypes}'

echo "== S3 notification =="
$AWS s3api get-bucket-notification-configuration --bucket ingest-source-bucket

echo "== dlq count after all tests =="
$AWS sqs get-queue-attributes --queue-url ${EP}/000000000000/ingest-dlq --attribute-names ApproximateNumberOfMessages
output
== all 3 aliases ==
[
    "alias/source-bucket-cmk",
    "alias/sqs-queue-cmk",
    "alias/dest-bucket-cmk"
]
== main queue attrs ==
{
    "Attributes": {
        "KmsMasterKeyId": "arn:aws:kms:us-east-1:000000000000:key/e804f3a5-69ae-4a4f-837b-e697f6ff7aed",
        "VisibilityTimeout": "90",
        "RedrivePolicy": "{\"deadLetterTargetArn\":\"arn:aws:sqs:us-east-1:000000000000:ingest-dlq\",\"maxReceiveCount\":\"3\"}\n"
    }
}
== event source mapping ==
[
    {
        "State": "Enabled",
        "Arn": "arn:aws:sqs:us-east-1:000000000000:ingest-events",
        "Resp": [
            "ReportBatchItemFailures"
        ]
    }
]
== S3 notification ==
{
    "QueueConfigurations": [
        {
            "Id": "ingest-created",
            "QueueArn": "arn:aws:sqs:us-east-1:000000000000:ingest-events",
            "Events": [
                "s3:ObjectCreated:*"
            ]
        }
    ]
}
== dlq count after all tests ==
{
    "Attributes": {
        "ApproximateNumberOfMessages": "0"
    }
}

[stdout]
== all 3 aliases ==
[
    "alias/source-bucket-cmk",
    "alias/sqs-queue-cmk",
    "alias/dest-bucket-cmk"
]
== main queue attrs ==
{
    "Attributes": {
        "KmsMasterKeyId": "arn:aws:kms:us-east-1:000000000000:key/e804f3a5-69ae-4a4f-837b-e697f6ff7aed",
        "VisibilityTimeout": "90",
        "RedrivePolicy": "{\"deadLetterTargetArn\":\"arn:aws:sqs:us-east-1:000000000000:ingest-dlq\",\"maxReceiveCount\":\"3\"}\n"
    }
}
== event source mapping ==
[
    {
        "State": "Enabled",
        "Arn": "arn:aws:sqs:us-east-1:000000000000:ingest-events",
        "Resp": [
            "ReportBatchItemFailures"
        ]
    }
]
== S3 notification ==
{
    "QueueConfigurations": [
        {
            "Id": "ingest-created",
            "QueueArn": "arn:aws:sqs:us-east-1:000000000000:ingest-events",
            "Events": [
                "s3:ObjectCreated:*"
            ]
        }
    ]
}
== dlq count after all tests ==
{
    "Attributes": {
        "ApproximateNumberOfMessages": "0"
    }
}
All green. Pipeline is live. **What's deployed** - 3 CMKs with aliases `alias/source-bucket-cmk`, `alias/sqs-queue-cmk`, `alias/dest-bucket-cmk`, each with narrow key policies (root admin + specific principals with specific actions , no wildcards on resource outside of `"*"` for the key-on-itself statements, which is standard; IAM policy scopes resources to the exact key ARN). - `ingest-source-bucket` / `ingest-dest-bucket` with SSE-KMS default encryption + bucket keys. - `ingest-events` queue SSE-KMS'd, visibility timeout 90s (> lambda 30s), redrive to `ingest-dlq` at maxReceiveCount=3. - SQS queue policy lets only `s3.amazonaws.com` with `SourceArn == ingest-source-bucket` send messages; SQS CMK policy lets the S3 service `GenerateDataKey`/`Decrypt` so S3 can encrypt its notification payload. - `image-ingest-records` DDB table, PK `object_key`. - `image-ingest-lambda-role` has scoped actions: SQS consume on main queue only, `s3:GetObject` on source/*, `s3:PutObject` on dest/*, `dynamodb:PutItem` on the table, KMS decrypt on source+SQS keys, encrypt/generate on dest key. - `image-ingest-consumer` lambda, python3.11, handler `handler.lambda_handler`, event source mapping with `ReportBatchItemFailures`. **Verified** - Plain key `hello.txt` → `processed/hello.txt` (SSE-KMS with dest CMK), DDB row present, DLQ empty. - Key with spaces `my holiday pic.jpg` → `processed/my holiday pic.jpg`, DDB row keyed exactly `my holiday pic.jpg` (handler uses `unquote_plus` on the event's URL-encoded key). - Direct-invoked batch with one good + one bad record → response `{"batchItemFailures":[{"itemIdentifier":"msg-bad"}]}`; good record's S3/DDB writes completed and it is not returned for retry. Source: `/app/handler.py`, `/app/setup.sh`, `/app/setup2.sh`.
Final diff , what the agent changed

No file changes, the agent left the workspace untouched.

Verifier output , the proof behind the reward
tests/test.sh
============================= test session starts ==============================
platform linux -- Python 3.12.3, pytest-8.4.1, pluggy-1.6.0 -- /root/.cache/uv/archive-v0/fVmm_OcMrLqgUfKUlAzJm/bin/python
cachedir: .pytest_cache
rootdir: /tests
plugins: json-ctrf-0.3.5
collecting ... collected 18 items

../tests/test_outputs.py::test_aws_cli_binary_is_real PASSED             [  5%]
../tests/test_outputs.py::test_localstack_reachable PASSED               [ 11%]
../tests/test_outputs.py::test_source_and_dest_buckets_use_customer_cmks PASSED [ 16%]
../tests/test_outputs.py::test_main_queue_and_dlq_exist_and_are_encrypted FAILED [ 22%]
../tests/test_outputs.py::test_lambda_exists_with_expected_handler PASSED [ 27%]
../tests/test_outputs.py::test_ddb_table_exists PASSED                   [ 33%]
../tests/test_outputs.py::test_source_bucket_notification_targets_main_queue PASSED [ 38%]
../tests/test_outputs.py::test_main_queue_policy_allows_s3_service PASSED [ 44%]
../tests/test_outputs.py::test_sqs_cmk_allows_s3_service PASSED          [ 50%]
../tests/test_outputs.py::test_source_cmk_allows_lambda_role_decrypt PASSED [ 55%]
../tests/test_outputs.py::test_dest_cmk_allows_lambda_role_encrypt PASSED [ 61%]
../tests/test_outputs.py::test_lambda_role_has_kms_decrypt_on_sqs_cmk PASSED [ 66%]
../tests/test_outputs.py::test_main_queue_visibility_timeout_covers_lambda_timeout PASSED [ 72%]
../tests/test_outputs.py::test_event_source_mapping_declares_report_batch_item_failures PASSED [ 77%]
../tests/test_outputs.py::test_lambda_handler_returns_correct_response_shape FAILED [ 83%]
../tests/test_outputs.py::test_end_to_end_preserves_object_size PASSED   [ 88%]
../tests/test_outputs.py::test_end_to_end_key_with_spaces_is_decoded PASSED [ 94%]
../tests/test_outputs.py::test_end_to_end_upload_propagates_to_dest_and_ddb PASSED [100%]

=================================== FAILURES ===================================
_______________ test_main_queue_and_dlq_exist_and_are_encrypted ________________

sqs = <botocore.client.SQS object at 0xffffbbcdc290>
kms = <botocore.client.KMS object at 0xffffbbf09220>

    def test_main_queue_and_dlq_exist_and_are_encrypted(sqs, kms):
        """Queues encrypted."""
        main_url = _queue_url(sqs, MAIN_QUEUE)
        main_attrs = _queue_attrs(sqs, main_url)
        assert main_attrs.get("KmsMasterKeyId"), (
            f"{MAIN_QUEUE} missing KmsMasterKeyId (SSE-KMS)"
        )
        expected = _resolve_key_id(kms, SQS_CMK_ALIAS)
        assert expected in main_attrs["KmsMasterKeyId"] or main_attrs[
            "KmsMasterKeyId"
        ].endswith(expected), (
            f"{MAIN_QUEUE} encrypted with {main_attrs['KmsMasterKeyId']}, "
            f"expected {SQS_CMK_ALIAS} ({expected})"
        )
    
        dlq_url = _queue_url(sqs, DLQ_QUEUE)
        dlq_attrs = _queue_attrs(sqs, dlq_url)
>       assert dlq_attrs.get("KmsMasterKeyId"), f"{DLQ_QUEUE} missing SSE-KMS"
E       AssertionError: ingest-dlq missing SSE-KMS
E       assert None
E        +  where None = <built-in method get of dict object at 0xffffbbd00bc0>('KmsMasterKeyId')
E        +    where <built-in method get of dict object at 0xffffbbd00bc0> = {'ApproximateNumberOfMessages': '0', 'ApproximateNumberOfMessagesDelayed': '0', 'ApproximateNumberOfMessagesNotVisible': '0', 'CreatedTimestamp': '1776851042', ...}.get

/tests/test_outputs.py:208: AssertionError
______________ test_lambda_handler_returns_correct_response_shape ______________

lmb = <botocore.client.Lambda object at 0xffffbded12b0>
sqs = <botocore.client.SQS object at 0xffffbbcdc290>
s3 = <botocore.client.S3 object at 0xffffbd7a1670>

    def test_lambda_handler_returns_correct_response_shape(lmb, sqs, s3):
        """Partial batch response shape."""
        probe_key = f"probe/verifier-{uuid.uuid4().hex[:8]}.bin"
        s3.put_object(Bucket=SRC_BUCKET, Key=probe_key, Body=b"x" * 32)
    
        main_arn = _queue_attrs(
            sqs, _queue_url(sqs, MAIN_QUEUE), attrs=("QueueArn",)
        )["QueueArn"]
    
        good_body = {
            "Records": [
                {
                    "s3": {
                        "bucket": {"name": SRC_BUCKET},
                        "object": {"key": probe_key},
                    }
                }
            ]
        }
        bad_body = {"some-other-shape": "not-an-s3-event"}
    
        good_mid = "msg-good-" + uuid.uuid4().hex[:8]
        bad_mid = "msg-bad-" + uuid.uuid4().hex[:8]
        event = {
            "Records": [
                {
                    "messageId": good_mid,
                    "body": json.dumps(good_body),
                    "eventSource": "aws:sqs",
                    "eventSourceARN": main_arn,
                    "awsRegion": REGION,
                },
                {
                    "messageId": bad_mid,
                    "body": json.dumps(bad_body),
                    "eventSource": "aws:sqs",
                    "eventSourceARN": main_arn,
                    "awsRegion": REGION,
                },
            ]
        }
    
        resp = lmb.invoke(
            FunctionName=LAMBDA_FUNC,
            InvocationType="RequestResponse",
            Payload=json.dumps(event).encode(),
        )
        func_err = resp.get("FunctionError")
        payload = resp["Payload"].read()
        assert not func_err, (
            f"Lambda invocation raised FunctionError={func_err}. "
            f"Payload: {payload!r}"
        )
        result = json.loads(payload) if payload else None
        assert isinstance(result, dict), (
            f"Lambda returned non-object payload: {result!r}. Expected "
            f"{{'batchItemFailures': [...]}}."
        )
        assert "batchItemFailures" in result, (
            f"Lambda response is missing the required `batchItemFailures` "
            f"key. AWS silently ignores any other key (e.g. "
            f"`failedBatchItems`) when FunctionResponseTypes includes "
            f"ReportBatchItemFailures. Got: {result}"
        )
        failures = result["batchItemFailures"]
        assert isinstance(failures, list), (
            f"batchItemFailures must be a list; got {type(failures).__name__}"
        )
        ids = [f.get("itemIdentifier") for f in failures]
>       assert bad_mid in ids, (
            f"Expected the bad record {bad_mid} in batchItemFailures; "
            f"got ids={ids}. The handler must catch per-record exceptions "
            f"and return the failed messageIds."
        )
E       AssertionError: Expected the bad record msg-bad-0dc0c573 in batchItemFailures; got ids=[]. The handler must catch per-record exceptions and return the failed messageIds.
E       assert 'msg-bad-0dc0c573' in []

/tests/test_outputs.py:522: AssertionError
=============================== warnings summary ===============================
test_outputs.py: 63 warnings
  /root/.cache/uv/archive-v0/fVmm_OcMrLqgUfKUlAzJm/lib/python3.12/site-packages/botocore/auth.py:424: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
    datetime_now = datetime.datetime.utcnow()

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
==================================== PASSES ====================================
=========================== short test summary info ============================
PASSED ../tests/test_outputs.py::test_aws_cli_binary_is_real
PASSED ../tests/test_outputs.py::test_localstack_reachable
PASSED ../tests/test_outputs.py::test_source_and_dest_buckets_use_customer_cmks
PASSED ../tests/test_outputs.py::test_lambda_exists_with_expected_handler
PASSED ../tests/test_outputs.py::test_ddb_table_exists
PASSED ../tests/test_outputs.py::test_source_bucket_notification_targets_main_queue
PASSED ../tests/test_outputs.py::test_main_queue_policy_allows_s3_service
PASSED ../tests/test_outputs.py::test_sqs_cmk_allows_s3_service
PASSED ../tests/test_outputs.py::test_source_cmk_allows_lambda_role_decrypt
PASSED ../tests/test_outputs.py::test_dest_cmk_allows_lambda_role_encrypt
PASSED ../tests/test_outputs.py::test_lambda_role_has_kms_decrypt_on_sqs_cmk
PASSED ../tests/test_outputs.py::test_main_queue_visibility_timeout_covers_lambda_timeout
PASSED ../tests/test_outputs.py::test_event_source_mapping_declares_report_batch_item_failures
PASSED ../tests/test_outputs.py::test_end_to_end_preserves_object_size
PASSED ../tests/test_outputs.py::test_end_to_end_key_with_spaces_is_decoded
PASSED ../tests/test_outputs.py::test_end_to_end_upload_propagates_to_dest_and_ddb
FAILED ../tests/test_outputs.py::test_main_queue_and_dlq_exist_and_are_encrypted
FAILED ../tests/test_outputs.py::test_lambda_handler_returns_correct_response_shape
================== 2 failed, 16 passed, 63 warnings in 14.64s ==================

Reproduce this trial: git checkout 2f94510 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_be93d3f7bfc64f41. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_be93d3f7bfc64f41 · verifier authoritative; classifier explanatory.