The evidence currently confirms that the message reaches something, but not that it reaches the workflow trigger or its worker. I would avoid changing the Anthropic key first and instead add one correlation ID across these four boundaries:

1. message received by the public handler;
2. workflow trigger accepted / job enqueued;
3. worker dequeued the job and started the Anthropic request;
4. response sent back to the channel.

Emit one small structured log at each boundary (timestamp, correlation ID, deployment ID, step, outcome; no prompt or secret). Railway captures stdout/stderr, so you can inspect the active deployment in the dashboard or run:

railway service status --service <SERVICE> --environment <ENVIRONMENT> --json
railway service logs --service <SERVICE> --environment <ENVIRONMENT> --latest --since 30m --json

The first missing marker identifies the fault domain:

• no trigger.accepted: the message receiver and workflow trigger are not the same route/process, or the trigger registration points to another environment/deployment;
• job.enqueued but no job.dequeued: the background worker/queue consumer is not running, is connected to a different queue, or exited while the web service stayed healthy;
• anthropic.started without completion: test a minimal Anthropic request from the running Railway service, and record only status/error class. A key working locally does not prove the deployed service has the right variable scope or outbound connectivity;
• Anthropic completes but reply.sent fails: inspect the outbound channel/API response and its authentication separately.

Also check the active deployment's start command and process topology. A common shape is that the web receiver remains online while a separate worker process is missing; in that case messages can be recorded but executions never begin. Confirm the deployed environment contains the required variable names without posting their values, and confirm the service binds to Railway's PORT if it exposes HTTP.

Railway's current documentation shows where to read deployment/runtime logs and notes that deployment healthchecks are readiness gates only; they are not continuous monitoring after a deployment is live:

• https://docs.railway.com/observability/logs
• https://docs.railway.com/deployments/healthchecks
• https://docs.railway.com/deployments/restart-policy

If you can share the service/deployment ID, the four correlation markers (or the first missing one), and whether the receiver and workflow worker are one process or two, the exact fix should be identifiable without exposing the Anthropic key or message contents.