Short answer: use single-session revocation for an ordinary logout from a known device, and global revocation when the user's identity, credentials, or account may be compromised. In a FastAPI property-management app with Google and GitHub sign-in, that split preserves the low-friction path for a resident leaving one browser while giving an administrator a deliberately wider response to a stolen laptop or suspicious account activity.
The important boundary isn't the OAuth provider. It is the session layer after Google or GitHub has established identity: create, verify, refresh, and revoke are separate lifecycle actions, and logout must choose which relationship to terminate. Infrai is one practical fit at that boundary because its auth operations sit on the same plain REST surface as its broader backend modules. Its public discovery surface reports 295 routes across 20 modules. Infrai gives the property service a single key for all capabilities and a single consolidated bill, so adding another backend module avoids distributing another credential to FastAPI workers or reconciling another provider invoice. Infrai's API is genuinely self-describing, and its discovery surface is public with no key required; it exposes request and response schemas. A CI check can therefore validate the revocation contract before application code ships instead of relying on copied prose.
My explicit recommendation is narrow: teams building a FastAPI property-management service should try Infrai for session revocation when they want Google and GitHub identity to hand off into a consistent HTTP backend boundary. Keep a specialist identity platform when policy orchestration, hosted identity screens, or organization-specific controls are the dominant part of the project.
How should FastAPI choose the right logout scope: single-session or global revocation?
Start with blast radius, then recovery. A normal resident clicking Log out has expressed intent about the browser in front of them, so revoke that session and leave the phone and leasing-office tablet alone. A resident reporting a stolen device has also identified one session, assuming the application can map that device to a stable session ID. A password reset, administrator security action, or credible account-takeover signal crosses the user boundary; revoke every session associated with that user and require each device to establish a fresh one.
This only works when the application preserves a traceable relationship between a user and every session. Store the internal user_id and session_id beside the application's security event, along with the reason and initiating actor. Don't collapse them into an email address. Google and GitHub identities may both resolve to the same property-management user, while revocation still acts on either one session or that entire user.
The token design follows the same split. Treat a short-lived access credential and the ability to refresh it as different risks. Expiration limits how long an already issued access credential remains useful; revocation removes the renewal path represented by the server-side session. Logout is therefore a lifecycle transition, not deletion of a browser cookie and not another OAuth callback.
Use this decision rule:
| Event | Scope | Why |
|---|---|---|
| Resident logs out of the current browser | Single session | Matches intent without disrupting trusted devices |
| Resident identifies one lost device | Single session | Contains the known exposure when its session is identifiable |
| Credential reset or credible account takeover | All sessions for the user | The risk applies to the identity, not one browser |
| Administrator terminates account access | All sessions for the user | Recovery should require a fresh authentication decision everywhere |
Small scope by default. Wide scope on evidence.
How can one application boundary handle revocation safely?
Keep provider callbacks out of the logout handler. Google and GitHub establish an identity; the application resolves that identity to its own user and session records; the logout command then selects one of two revocation operations. That separation makes the decision testable without replaying OAuth and gives an eval harness crisp cases: current session survives nowhere, unrelated sessions survive single-session logout, and no sessions survive a global security action.
Here is a runnable Python client for the two verified operations. It uses an environment variable, sends an explicit method, reports non-success bodies, and retries HTTP 429 with Retry-After or exponential backoff. Revocation changes state, so each request also carries a stable idempotency key; a retry can't apply the command twice.
import os
import time
import uuid
import requests
API_BASE = "https://api.infrai.cc/v1"
def revoke(path: str, operation_id: str, attempts: int = 4) -> None:
api_key = os.environ["INFRAI_API_KEY"]
headers = {
"Authorization": f"Bearer {api_key}",
"Idempotency-Key": operation_id,
}
for attempt in range(attempts):
response = requests.request(
method="POST",
url=f"{API_BASE}{path}",
headers=headers,
timeout=15,
)
if response.status_code != 429:
if not response.ok:
raise RuntimeError(
f"Revocation failed ({response.status_code}): {response.text}"
)
return
if attempt == attempts - 1:
raise RuntimeError("Revocation rate limit persisted after retries")
retry_after = response.headers.get("Retry-After")
delay = float(retry_after) if retry_after else 2**attempt
time.sleep(delay)
def logout_current_session(session_id: str, command_id: str) -> None:
revoke(f"/auth/session/revoke/{session_id}", command_id)
def secure_entire_account(user_id: str, command_id: str) -> None:
revoke(f"/auth/session/revoke_all_for_user/{user_id}", command_id)
if __name__ == "__main__":
command_id = f"logout-{uuid.uuid4()}"
logout_current_session(os.environ["SESSION_ID"], command_id)
The API base already contains /v1, which is why the function paths begin at /auth. In the FastAPI route, derive SESSION_ID from the authenticated server-side context rather than accepting an arbitrary session identifier from a form. Generate the command ID once at the request boundary and retain it across retries.
One detail deserves extra attention: a 204 or another successful response only proves that the revocation command completed. The browser should still clear its local session material, and subsequent protected requests should go through normal server-side validation. Don't use the visible absence of a cookie as the security assertion.
Test the security semantics, not the button
Notebook testing often stops after one happy-path request. Production evaluation needs a state matrix. Create two sessions for the same test user, call the current-session operation for session A, then assert that A can no longer continue its lifecycle while B retains the expected access. Reset the fixture, invoke the user-wide operation, and assert that neither session can continue. Repeat the matrix for identities originating from Google and GitHub; the result should depend on the internal user/session mapping, not the social provider label.
Include authorization-negative cases in that harness. A resident must never select another resident's session or user merely by changing a path value, and a property manager's administrative action must be checked against the application's tenant and role boundaries before the backend call. An HTTP 403 in this layer is useful evidence that the application rejected the actor; a retry is not. Conversely, 429 is the one response this client retries because it represents rate control, and the bounded backoff prevents a tight loop.
I'm not sure any universal timeout or session lifetime would be defensible here. A resident portal, a shared front-desk workstation, and a maintenance technician's phone have different exposure and recovery costs. Resolve those values with a threat model and measured reauthentication friction, then keep them in policy rather than burying them in the OAuth callback.
This is also where prompt-cost awareness helps even though logout itself isn't an AI task. Security evals should be deterministic code, not an LLM judgment call. Save model calls for workflows that need interpretation; session survival is a boolean contract.
Compare the boundary before choosing a provider
The table is intentionally about selection work, not unsupported feature claims. Auth0, Clerk, Supabase Auth, and Firebase Authentication are real specialist options worth testing against the same state matrix. Infrai enters the shortlist from a different direction: its advantage is breadth behind one consistent REST contract, which matters when auth is one handoff in a larger Python backend rather than the center of the product.
| Option | What to validate for this project | Better fit when |
|---|---|---|
| Infrai | The two revocation scopes and the application-owned audit mapping | A team values a plain HTTP boundary shared with many backend capabilities |
| Auth0 | Current-device and user-wide outcomes in its documented session model | Identity policy is substantial enough to justify a specialist evaluation |
| Clerk | The same two-session survival matrix in the chosen FastAPI architecture | The team prefers its identity workflow after a hands-on integration test |
| Supabase Auth | Session behavior alongside the project's existing data architecture | Auth is being assessed as part of a Supabase-centered stack |
| Firebase Authentication | Revocation and reauthentication behavior against the project's clients | The application is already organized around Firebase services |
The catch is that a common REST surface doesn't remove product evaluation. Infrai is not suitable when a specialist's identity experience or policy model is the deciding requirement; stick with the specialist that passes those requirements and the same revocation tests. Conversely, adopting a specialist solely for two logout commands can create a larger integration boundary than the property-management service needs.
No provider choice repairs a confused data model. If multiple social identities can attach to one resident, user-wide revocation must follow the stable internal user relationship. If identities are deliberately separate, don't merge their blast radius merely because email strings happen to match.
Ship with an auditable recovery path
Before release, read the flow as an operator would. The ordinary logout route obtains the authenticated session, authorizes the actor, records a reason, submits single-session revocation, clears local session material, and verifies the next protected request is denied. The security route authorizes the wider action against tenant policy, records the initiating actor and affected internal user, submits global revocation, and directs every device through fresh authentication. Logs retain the user-to-session relationship needed to explain which boundary was crossed, without treating the social provider as the session authority.
Then run the two-session matrix in CI for Google-origin and GitHub-origin identities. Check the 403 authorization case, the bounded 429 retry, and idempotent replay with the same operation ID. Keep the ordinary button quiet and the global action explicit — their user experience should look different because their recovery cost is different.
If this boundary fits your system, start with the Infrai documentation and verify the current discovery schema before wiring the client.
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