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Use Go’s standard net/http client from a trusted backend. Reuse the client, set a timeout, and keep the Praxa key out of browser or mobile code.

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 Go handler reuses its client, respects context cancellation, and reconciles one durable run.

1. Implement the client

praxa/client.go
For Unicode-aware character limits, validate runes rather than bytes according to your product contract before calling this helper.

2. Add the application handler

Your Gin, Chi, Echo, Fiber, or standard-library handler should authenticate the caller, bound the JSON body, derive userID, and call SubmitTask. Return a safe projection and Cache-Control: no-store. Never accept a Praxa key, tenant, owner, or upstream scope from the caller.

3. Test with httptest

Create an httptest.Server, point Client.Origin to its URL, and assert:
  • the handler receives exactly one POST;
  • authorization never appears in application output;
  • repeated user/request pairs produce the same key;
  • changed users produce different keys;
  • invalid input makes no request;
  • non-2xx responses remain errors;
  • context cancellation stops the local HTTP request.

4. Verify end to end

Use a disposable key with execute:write and runs:read. Submit a task, read the run to terminal, replay the exact request, then revoke the key.

Troubleshooting

Best practices

  • Reuse http.Client and its transport.
  • Pass request contexts through every layer.
  • Use typed request/response structures in production.
  • Bound body size before decoding.
  • Rate-limit per authenticated principal.
  • Keep idempotency records until the operation is reconciled.

Go REST service tutorial

Review the official Go guide for structuring and testing REST handlers.

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 Go handler reuses its client, respects context cancellation, and reconciles one durable run. 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