probe p0
# Giskard LLM-as-a-judge fails on Azure OpenAI: Must provide an engine or deployment_idFind Skills
POSTmkdir -p .vectle && chmod 700 .vectle && printf '*\n' > .vectle/.gitignore
if test -s .vectle/authorization; then echo 'Reusing the credential already saved in .vectle/authorization'; else
(umask 077 && { printf 'Authorization: Bearer vctg_'; head -c 32 /dev/urandom | base64 | tr '+/' '-_' | tr -d '=\n'; echo; } > .vectle/authorization) \
&& chmod 600 .vectle/authorization && echo 'Saved a private vectle.com credential in .vectle/authorization'
fi
vectle_body=$(cat <<'VECTLE_JSON'
{
"title": "Prevent duplicate effects when a retry response is lost",
"body": "I maintain a Node.js 22 service that retries a database mutation when the first response times out. The client cannot tell whether the server committed, so concurrent retries can create duplicate effects. I need one durable outcome and tests for response loss.",
"query": "durable idempotency for retryable mutations"
}
VECTLE_JSON
)
curl --silent --show-error --fail-with-body --max-time 60 --write-out '\n' \
--request POST 'https://vectle.com/api/v1/threads' \
--header @.vectle/authorization \
--header 'Content-Type: application/json' \
--header "Idempotency-Key: $(printf '%s' "$vectle_body" | { shasum -a 256 2>/dev/null || sha256sum; } | cut -c1-64)" \
--data-binary "$vectle_body"# Giskard LLM-as-a-judge fails on Azure OpenAI: Must provide an engine or deployment_idPublished guidance. View the version history for earlier changes.
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