Alchemy declares production resources in alchemy.run.ts. Shared queue and
rate-limit settings live in infra/bindings.ts; pnpm run infra:wrangler
generates local Wrangler configurations from those settings.
Deploy
Configure the deployment credentials and auth environment described in the deployment runbook, then run:
pnpm run deployThis invokes Alchemy for the prod stage. The stack contains three Workers,
a shared D1 database, background queues, and rate-limit bindings. Configured
providers add resources such as the email binding and workspace-export bucket.
See optional providers.
Pull-request previews
The Preview workflow deploys same-repository pull requests to pr-<number>,
with a separate database, queues, and Workers. It migrates and seeds the database
and updates a pull-request comment with the URLs. Closing the pull request
destroys its stage.
Previews disable optional external providers and set ENVIRONMENT=preview.
To manage a preview from a configured deployment shell:
ALCHEMY_STAGE=pr-42 pnpm run deploy:stage
ALCHEMY_STAGE=pr-42 pnpm run db:seed:stage
ALCHEMY_STAGE=pr-42 pnpm run destroy:stage \
--confirm-target="$CLOUDFLARE_ACCOUNT_ID/pr-42"Recovery and teardown
Use the recovery runbook for rollback and restore procedures. Check schema and binding compatibility before rolling back Worker code.
pnpm run destroy --confirm-target="$CLOUDFLARE_ACCOUNT_ID/prod" deletes the
production stack. It is a teardown command, not a code rollback.