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Spring Framework’s RestClient is a synchronous fluent HTTP client. Use it in a trusted service and expose your own authenticated application route to frontends.

Prerequisites

Before you begin, prepare:
  • a trusted server runtime and application authentication boundary;
  • a disposable personal workspace Praxa key with only the tutorial’s required scopes;
  • synthetic input plus a persisted application request ID for replay tests;
  • a fake upstream for unit tests and a non-production environment for canaries;
  • an acceptance assertion that proves the Spring boundary admits one task with typed readback and a fake-client regression test.

1. Configure the client

src/main/java/example/PraxaClient.java
Inject the key from your secret manager or server environment. Do not store it in application.yml committed to source control.

2. Add an application controller

Your controller should authenticate the application principal, validate a bounded request DTO, derive userId, and invoke submitTask. It should never accept a Praxa key, tenant, owner, or scope from the request. Map upstream failures to customer-safe errors:
Do not return error.getResponseBodyAsString() to the browser unless a reviewed redactor has projected it.

3. Test the outbound contract

Use MockRestServiceServer with the RestClient.Builder and assert:
  • exact /v1/execute POST;
  • bearer and idempotency headers;
  • stable key for the same principal/request pair;
  • different key for a different principal;
  • no upstream call for invalid input;
  • safe mapping for 401, 403, 409, and 429;
  • no authorization value in controller responses or logs.

4. Verify live behavior

Use a disposable personal key. Submit one task, poll the returned run through a separate server-owned GET /v1/runs/{id} client, verify terminal state, replay the exact request, and revoke the key.

Troubleshooting

Best practices

  • Reuse the thread-safe RestClient.
  • Configure connect and read timeouts on the underlying request factory.
  • Keep authentication and tenant derivation in the controller/service boundary.
  • Use records or DTOs instead of unbounded maps in production.
  • Preserve key/body digests for reconciliation.
  • Prefer RestClient over deprecated RestTemplate on current Spring.

Spring REST clients

Review current RestClient, WebClient, and HTTP service client guidance in the official Spring Framework reference.

Optimize for production

  • Reuse one configured HTTP or SDK client per process and bound concurrent upstream work.
  • Prefer durable admission plus asynchronous readback over holding application requests open.
  • Cache only non-sensitive, tenant-scoped reads within their documented freshness window.
  • Measure p50/p95 latency, admission-to-terminal time, retries, conflicts, and connection reuse before tuning.
Optimize only after the correctness and isolation matrix passes. Lower latency or cost is not an improvement if verified outcomes, authority checks, or recovery rates regress.

Cleanup and next steps

  1. Revoke the disposable Praxa key and require a later request to fail.
  2. Remove synthetic application records and any temporary environment files.
  3. Cancel or archive unresolved test runs according to the application policy.
  4. Retain only redacted request, run, and verification identifiers needed for the test record.
After cleanup, run the shared integration test matrix and record any environment-specific check that remains pending.

Frequently asked questions

What proves this tutorial works?

The minimum observable result is that the Spring boundary admits one task with typed readback and a fake-client regression test. A compile, package import, mocked response, or initial admission alone does not prove the complete workflow.

Can a browser, mobile app, or model prompt hold the credential?

No. Browser and mobile bundles are inspectable. Keep the Praxa credential in the trusted application backend.

How should an ambiguous mutation be retried?

Persist the exact logical input and idempotency key before the first attempt. Reconcile through authoritative readback or replay the exact request with that same key before creating new work.

What should we monitor after release?

Monitor application auth failures, upstream status/code, latency, retries, replay conflicts, and terminal run outcomes. Alert on authorization bypass, cross-tenant disclosure, repeated conflicts, or cleanup failure.
Last modified on August 14, 2026