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After the Subconscious Inference System is deployed, your Subconscious FDE will walk through API Gateway admin setup with your customer admin.

Admin setup

Your FDE and customer admin work through this flow together:
  1. Confirm dashboard access: sign in, verify the customer organization, and confirm the approved URL, DNS, TLS, and network path are working.
  2. Confirm prerequisites: make sure the Subconscious Inference System is deployed, the Inference Runtime or external model endpoints are reachable, required credentials are available, and first admins and pilot users are identified.
  3. Configure credentials and routes: add only the provider credentials needed for routes, then create the initial model route to the Inference Runtime or external model endpoint.
  4. Send a test request: use an admin test key and a small prompt to confirm authentication, model access, routing, response behavior, and usage recording.
  5. Configure pilot users: create or share the pilot API key pattern, confirm model slugs, and point the first coding agents at the customer API Gateway endpoint.
  6. Confirm day-two ownership: align on user management, usage metering, logging, monitoring, support escalation, and handoff.
After the initial setup, administrators usually operate a few recurring workflows.

User management

  • Invite administrators and pilot users.
  • Reset passwords and manage roles.
  • Grant or revoke model access.
  • Keep user and team ownership clear during rollout.

Usage metering

  • Create and revoke API keys.
  • Configure organization-level and API-key-level limits.
  • Review usage by date range, model, key, or organization.
  • Adjust limits after pilot feedback or capacity changes.

Logging

  • Review gateway service logs, router logs, route health logs, and audit logs for admin actions.
  • Keep sensitive prompts, completions, secrets, and API keys out of shared logs.
  • Prepare customer-approved support bundles or diagnostic summaries when needed.

Monitoring

  • Monitor gateway availability, request rate, latency, error rate, and route health.
  • Review authentication failures, authorization failures, and rate-limit events.
  • Pair gateway metrics with Inference Runtime metrics such as GPU utilization, queue depth, and token throughput.

Admin handoff checklist

  • Customer admins can sign in.
  • Admin users and pilot users are configured.
  • Initial API keys are created and stored.
  • Initial Inference Runtime routes are active and healthy.
  • Model access is granted.
  • Limits are configured.
  • Test request succeeds.
  • Coding-agent setup is validated for at least one pilot user.
  • Usage is visible.
  • Monitoring and logging ownership is confirmed.
  • Support and escalation process is understood.