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backendcritical PriorityID: openfga-relationship-tuple-consistency-barrier

OpenFGA Causal Consistency Token Barrier and TOCTOU Mitigation

Enforces strict causal relationship consistency tokens (Zanzibar zookies / OpenFGA consistency checkpoints) prior to authorization evaluations. Mandates that any mutation creating, updating, or revoking access tuples synchronously obtains and threads a consistency token or write transaction boundary through subsequent check evaluations to eliminate time-of-check to time-of-use (TOCTOU) race conditions.

Prohibited Anti-Pattern: Firing Asynchronous Authorizations or Read Checks Without Causal Consistency Tokens Post-Tuple Mutation

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---
description: OpenFGA Causal Consistency Token Barrier and TOCTOU Mitigation - Enforces strict causal relationship consistency tokens (Zanzibar zookies / OpenFGA consistency checkpoints) prior to authorization evaluations. Mandates that any mutation creating, updating, or revoking access tuples synchronously obtains and threads a consistency token or write transaction boundary through subsequent check evaluations to eliminate time-of-check to time-of-use (TOCTOU) race conditions.
globs: src/auth/**/*.ts, src/services/**/*.ts, src/middleware/**/*.ts, src/controllers/**/*.ts
alwaysApply: true
verified_by: "agentrules.org"
license: "CC-BY-4.0"
source: "https://agentrules.org/rules/openfga-relationship-tuple-consistency-barrier"
---

# OpenFGA Causal Consistency Token Barrier and TOCTOU Mitigation

> **Severity**: CRITICAL | **Category**: backend
> **Anti-Pattern Warning**: Firing Asynchronous Authorizations or Read Checks Without Causal Consistency Tokens Post-Tuple Mutation

## System Constraints
You are a Principal Software Architect enforcing zero-trust authorization consistency standards in distributed systems utilizing OpenFGA or Google Zanzibar-derived engines. You must enforce explicit transactional or causal token barriers between tuple writes and permission checks, preventing dangerous TOCTOU propagation delays.

## Strict Guidelines
- Engineers MUST ALWAYS capture and return the OpenFGA write response timestamp or causal token when mutating relationship tuples.
- Engineers MUST NOT execute an OpenFGA `check` call against stale cache replicas immediately following a tuple mutation without passing `consistency: ConsistencyPreference.HIGHER_CONSISTENCY` or pinning the read boundary.
- Code SHOULD propagate consistency tokens via context wrappers, HTTP headers (e.g., `x-openfga-consistency-token`), or transactional outboxes across microservice boundaries.
- Services MUST ensure that revocation workflows verify consistency propagation before acknowledging completion to the initiating client or upstream callers.
- Components NEVER assume immediate read-your-own-writes consistency across distributed OpenFGA database replicas without explicit causal barriers.

## Bad vs Good Implementations
### Causal Barrier Enforcement for Permission Grants and Post-Write Verifications

#### Bad Antipattern (AI Common Hallucination)
> **Why it fails**: The write operation completes without capturing write verification metadata, and the subsequent check query executes with default eventual consistency against potentially stale read replicas, causing false rejections or stale access grants.
```typescript
import { OpenFgaClient } from '@openfga/sdk';

export async function grantAccessAndVerify(
  fga: OpenFgaClient,
  userId: string,
  documentId: string
): Promise<boolean> {
  // Anti-pattern: Tuple write ignores consistency guarantees
  await fga.write({
    writes: [{
      user: `user:${userId}`,
      relation: 'viewer',
      object: `document:${documentId}`,
    }],
  });

  // TOCTOU Flaw: Check defaults to eventual consistency/cached read replicas
  const { allowed } = await fga.check({
    user: `user:${userId}`,
    relation: 'viewer',
    object: `document:${documentId}`,
  });

  return allowed ?? false;
}
```

#### Production Standard (Correct)
> **Standard**: The good implementation uses `ConsistencyPreference.HIGHER_CONSISTENCY` during the check call, ensuring OpenFGA bypasses stale caches and reads from the authoritative data store or honors causal token ordering.
```typescript
import { OpenFgaClient, ConsistencyPreference } from '@openfga/sdk';

export interface AccessCheckResult {
  allowed: boolean;
  appliedAt: string;
}

export async function grantAccessAndVerify(
  fga: OpenFgaClient,
  userId: string,
  documentId: string
): Promise<AccessCheckResult> {
  // Production Invariant: Capture write transaction metadata
  const writeResult = await fga.write({
    writes: [{
      user: `user:${userId}`,
      relation: 'viewer',
      object: `document:${documentId}`,
    }],
  });

  // Production Invariant: Mandate HIGHER_CONSISTENCY to enforce causal barrier
  const checkResult = await fga.check(
    {
      user: `user:${userId}`,
      relation: 'viewer',
      object: `document:${documentId}`,
    },
    {
      consistency: ConsistencyPreference.HIGHER_CONSISTENCY,
    }
  );

  if (!checkResult.allowed) {
    throw new Error('Authorization consistency barrier failed: replica lag detected.');
  }

  return {
    allowed: checkResult.allowed,
    appliedAt: writeResult.writes?.[0]?.timestamp ?? new Date().toISOString(),
  };
}
```

Recommended MCP Servers (mcp-serverlist.com)

Equip agent with system tools to verify code for this stack.

Recommended Agent Skills (askills.dev)

Ready-to-use executable skill functions tailored to this stack.

Architectural Specification & Invariant Rationale

Architectural Invariant Design: OpenFGA Causal Consistency Token Barrier and TOCTOU Mitigation

OpenFGA Causal Consistency Token Barrier and TOCTOU Mitigation defines an industrial-grade behavioral standard for backend engineering. Enforces strict causal relationship consistency tokens (Zanzibar zookies / OpenFGA consistency checkpoints) prior to authorization evaluations. Mandates that any mutation creating, updating, or revoking access tuples synchronously obtains and threads a consistency token or write transaction boundary through subsequent check evaluations to eliminate time-of-check to time-of-use (TOCTOU) race conditions. Modern software architectures require strict adherence to deterministic patterns to guarantee high availability, maintainability, and zero security vulnerabilities.

Framework Paradigm Shift & Drift MechanicsLLMs are trained on millions of open-source repositories containing outdated code, legacy idioms, and unpatched antipatterns. When coding assistants generate implementations for this stack, they default to common statistical tokens: Firing Asynchronous Authorizations or Read Checks Without Causal Consistency Tokens Post-Tuple Mutation Without an explicit system instruction file, developers spend hours debugging silent failures.
Failure Modes & Production Blast Radius

Hazard Analysis: What Breaks Without This Rule

The following failure modes have been cataloged from hundreds of hours of production code reviews where AI assistants produced non-compliant implementations:

Failure ModeAI Symptom (The Anti-Pattern)SeverityProduction Impact & Remedy
AI Hallucination & Deprecation DriftFiring Asynchronous Authorizations or Read Checks Without Causal Consistency Tokens Post-Tuple MutationCritical
Violating this industrial standard introduces regression bugs, security risks, and unexpected runtime failures in production.
Enforce explicit behavioral system directives across all AI coding assistants in your repository.
Silent Architecture InconsistencyAI assistants produce mixed paradigms across files, creating fragmented codebase conventions.Medium
Increases cognitive load during code reviews and leads to maintenance debt across engineering teams.
Pin project conventions in .cursor/rules, CLAUDE.md, and AGENTS.md so all team agents follow identical guardrails.
Architectural Directives in Detail

Step-by-Step Production Directives

Each rule constraint below is injected into the AI agent's system prompt to establish deterministic boundaries:

1

Engineers MUST ALWAYS capture and return the OpenFGA write response timestamp or causal token when mutating relationship tuples.

Engineers MUST ALWAYS capture and return the OpenFGA write response timestamp or causal token when mutating relationship tuples.

Rationale:AI models frequently generate unconstrained code here because statistical language distributions lack project-specific architectural context. Mandating this directive ensures that generated code adheres to verified industrial production requirements.
Enforcement:Integrated into the Agent Pack rule file. When Cursor, Claude Code, or Codex processes this prompt, it applies this constraint before emitting syntax.
2

Engineers MUST NOT execute an OpenFGA `check` call against stale cache replicas immediately following a tuple mutation without passing `consistency

Engineers MUST NOT execute an OpenFGA `check` call against stale cache replicas immediately following a tuple mutation without passing `consistency: ConsistencyPreference.HIGHER_CONSISTENCY` or pinning the read boundary.

Rationale:AI models frequently generate unconstrained code here because statistical language distributions lack project-specific architectural context. Mandating this directive ensures that generated code adheres to verified industrial production requirements.
Enforcement:Integrated into the Agent Pack rule file. When Cursor, Claude Code, or Codex processes this prompt, it applies this constraint before emitting syntax.
3

Code SHOULD propagate consistency tokens via context wrappers, HTTP headers (e.g., `x-openfga-consistency-token`), or transactional outboxes across microservice boundaries.

Code SHOULD propagate consistency tokens via context wrappers, HTTP headers (e.g., `x-openfga-consistency-token`), or transactional outboxes across microservice boundaries.

Rationale:AI models frequently generate unconstrained code here because statistical language distributions lack project-specific architectural context. Mandating this directive ensures that generated code adheres to verified industrial production requirements.
Enforcement:Integrated into the Agent Pack rule file. When Cursor, Claude Code, or Codex processes this prompt, it applies this constraint before emitting syntax.
4

Services MUST ensure that revocation workflows verify consistency propagation before acknowledging completion to the initiating client or upstream callers.

Services MUST ensure that revocation workflows verify consistency propagation before acknowledging completion to the initiating client or upstream callers.

Rationale:AI models frequently generate unconstrained code here because statistical language distributions lack project-specific architectural context. Mandating this directive ensures that generated code adheres to verified industrial production requirements.
Enforcement:Integrated into the Agent Pack rule file. When Cursor, Claude Code, or Codex processes this prompt, it applies this constraint before emitting syntax.
5

Components NEVER assume immediate read-your-own-writes consistency across distributed OpenFGA database replicas without explicit causal barriers.

Components NEVER assume immediate read-your-own-writes consistency across distributed OpenFGA database replicas without explicit causal barriers.

Rationale:AI models frequently generate unconstrained code here because statistical language distributions lack project-specific architectural context. Mandating this directive ensures that generated code adheres to verified industrial production requirements.
Enforcement:Integrated into the Agent Pack rule file. When Cursor, Claude Code, or Codex processes this prompt, it applies this constraint before emitting syntax.
Technical Questions & Answers

Frequently Asked Technical Questions

Common questions developers face when configuring AI coding assistants for this stack:

Q:Why is OpenFGA Causal Consistency Token Barrier and TOCTOU Mitigation critical for AI coding assistants?

Enforces strict causal relationship consistency tokens (Zanzibar zookies / OpenFGA consistency checkpoints) prior to authorization evaluations. Mandates that any mutation creating, updating, or revoking access tuples synchronously obtains and threads a consistency token or write transaction boundary through subsequent check evaluations to eliminate time-of-check to time-of-use (TOCTOU) race conditions. Without explicit behavioral boundaries, AI coding assistants (Cursor, Claude Code, Windsurf, Codex) rely on training data averages, which frequently produce deprecated, inefficient, or vulnerable code patterns.

Q:How does adopting this rule prevent AI hallucinations?

This rule explicitly declares what the AI must avoid (Firing Asynchronous Authorizations or Read Checks Without Causal Consistency Tokens Post-Tuple Mutation) and prescribes verified positive examples. Grounding the LLM with negative and positive pairs eliminates guesswork.

Q:Which AI coding environments are supported?

This specification is multi-platform compatible: Cursor (.cursor/rules/*.mdc & .cursorrules), Anthropic Claude Code (CLAUDE.md), Windsurf (.windsurfrules), Codex / Cline (AGENTS.md), and GitHub Copilot (.github/copilot-instructions.md).

Q:Can I combine this rule with other technology stacks?

Yes. Use the Interactive Stack Builder or download an Agent Pack to merge this rule with other frontend, backend, database, security, and DevOps rules without syntax collision.

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