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devopscritical PriorityID: wasi-02-component-sandbox-edge-worker-isolation

WASI 0.2 Component Sandboxing & Deterministic Capability Budgets

Enforces strict capability-based isolation and deterministic resource limits for WASI 0.2 multi-tenant edge workers. Mandates explicit Store resource limiters, fuel/epoch compute metering, and zero-ambient-authority WASI contexts to prevent tenant escape and resource exhaustion without microVM overhead.

Prohibited Anti-Pattern: Ambient Authority Inheritance and Unbounded Stores in Multi-Tenant Component Model Hosts

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---
description: WASI 0.2 Component Sandboxing & Deterministic Capability Budgets - Enforces strict capability-based isolation and deterministic resource limits for WASI 0.2 multi-tenant edge workers. Mandates explicit Store resource limiters, fuel/epoch compute metering, and zero-ambient-authority WASI contexts to prevent tenant escape and resource exhaustion without microVM overhead.
globs: src/**/*.{rs,ts}, crates/**/*.rs, host/**/*.rs
alwaysApply: true
verified_by: "agentrules.org"
license: "CC-BY-4.0"
source: "https://agentrules.org/rules/wasi-02-component-sandbox-edge-worker-isolation"
---

# WASI 0.2 Component Sandboxing & Deterministic Capability Budgets

> **Severity**: CRITICAL | **Category**: devops
> **Anti-Pattern Warning**: Ambient Authority Inheritance and Unbounded Stores in Multi-Tenant Component Model Hosts

## System Constraints
You are a Principal Systems & DevOps Architect enforcing WASI 0.2 (preview2) Component Model sandboxing for multi-tenant edge runtimes. You must prevent ambient authority leakages, resource exhaustion, and cross-tenant memory bleed by enforcing strictly isolated `WasiCtx`, explicit `ResourceLimiter` implementations, fuel-based instruction budgets, and fine-grained capability descriptors.

## Strict Guidelines
- Engineers MUST NEVER use `inherit_stdio()`, `inherit_env()`, or ambient filesystem/network bridges in multi-tenant worker host configurations.
- Engineers MUST configure explicit deterministic metering on every `wasmtime::Store` via fuel consumption (`consume_fuel(true)`) or epoch-based interruption.
- Engineers MUST implement a `wasmtime::ResourceLimiter` or `ResourceLimiterAsync` on the host Store context to cap max linear memory, table elements, and component instances per tenant invocation.
- Services MUST restrict WASI HTTP (`wasi:http/outgoing-handler`) to an explicit tenant-scoped egress proxy or allowed CIDR/domain allowlist, rejecting raw TCP/UDP socket bind capabilities.
- Components NEVER share instances, linear memory, or stores across tenant executions; every incoming invocation must acquire an ephemeral Store or reset pooled state under a verified security boundary.

## Bad vs Good Implementations
### WASI 0.2 Host Sandbox Configuration in Edge Worker Runtime

#### Bad Antipattern (AI Common Hallucination)
> **Why it fails**: Inheriting stdio and host environment exposes host secrets and allows arbitrary logging injection. Lacking fuel metering and a ResourceLimiter allows a malicious tenant to run infinite compute loops or allocate host-crashing gigabytes of linear memory.
```rust
use wasmtime::component::{Component, Linker};
use wasmtime::{Config, Engine, Store};
use wasmtime_wasi::preview2::{WasiCtx, WasiCtxBuilder, WasiView};

struct HostState {
    ctx: WasiCtx,
}
impl WasiView for HostState {
    fn ctx(&self) -> &WasiCtx { &self.ctx }
    fn ctx_mut(&mut self) -> &mut WasiCtx { &mut self.ctx }
}

pub fn instantiate_worker(engine: &Engine, comp: &Component) -> anyhow::Result<()> {
    // ANTI-PATTERN: Ambient authority inherited, no fuel metering, unbounded memory
    let wasi = WasiCtxBuilder::new()
        .inherit_stdio()
        .inherit_env()
        .build();

    let mut store = Store::new(engine, HostState { ctx: wasi });
    let linker = Linker::new(engine);
    let _instance = linker.instantiate(&mut store, comp)?;
    Ok(())
}
```

#### Production Standard (Correct)
> **Standard**: Applies capability-based security: stdio is buffered with fixed capacities, environment variables are synthetic and isolated per tenant, fuel consumption halts infinite execution, and `StoreLimits` strictly caps memory usage to 32MB.
```rust
use wasmtime::component::{Component, Linker};
use wasmtime::{Config, Engine, ResourceLimiter, Store, StoreLimits, StoreLimitsBuilder};
use wasmtime_wasi::preview2::{pipe::MemoryOutputPipe, WasiCtx, WasiCtxBuilder, WasiView};

struct HostState {
    ctx: WasiCtx,
    limits: StoreLimits,
}
impl WasiView for HostState {
    fn ctx(&self) -> &WasiCtx { &self.ctx }
    fn ctx_mut(&mut self) -> &mut WasiCtx { &mut self.ctx }
}

pub fn instantiate_tenant_worker(
    engine: &Engine,
    comp: &Component,
    tenant_id: &str,
    fuel_limit: u64,
) -> anyhow::Result<()> {
    // Cap tenant linear memory to 32MB and restrict table/instance expansion
    let limits = StoreLimitsBuilder::new()
        .memory_size(32 * 1024 * 1024)
        .instances(10)
        .tables(5)
        .build();

    let stdout_sink = MemoryOutputPipe::new(4096);
    let stderr_sink = MemoryOutputPipe::new(4096);

    // Zero ambient authority: scoped env, sandboxed stdio sinks, strict network absence
    let wasi = WasiCtxBuilder::new()
        .envs(&[("TENANT_ID", tenant_id)])
        .stdout(stdout_sink)
        .stderr(stderr_sink)
        .build();

    let mut store = Store::new(engine, HostState { ctx: wasi, limits });
    store.set_fuel(fuel_limit)?;
    store.limiter(|state| &mut state.limits);

    let linker = Linker::new(engine);
    let _instance = linker.instantiate(&mut store, comp)?;
    Ok(())
}
```

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: WASI 0.2 Component Sandboxing & Deterministic Capability Budgets

WASI 0.2 Component Sandboxing & Deterministic Capability Budgets defines an industrial-grade behavioral standard for devops engineering. Enforces strict capability-based isolation and deterministic resource limits for WASI 0.2 multi-tenant edge workers. Mandates explicit Store resource limiters, fuel/epoch compute metering, and zero-ambient-authority WASI contexts to prevent tenant escape and resource exhaustion without microVM overhead. 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: Ambient Authority Inheritance and Unbounded Stores in Multi-Tenant Component Model Hosts 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 DriftAmbient Authority Inheritance and Unbounded Stores in Multi-Tenant Component Model HostsCritical
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 NEVER use `inherit_stdio()`, `inherit_env()`, or ambient filesystem/network bridges in multi-tenant worker host configurations.

Engineers MUST NEVER use `inherit_stdio()`, `inherit_env()`, or ambient filesystem/network bridges in multi-tenant worker host configurations.

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 configure explicit deterministic metering on every `wasmtime

Engineers MUST configure explicit deterministic metering on every `wasmtime::Store` via fuel consumption (`consume_fuel(true)`) or epoch-based interruption.

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

Engineers MUST implement a `wasmtime

Engineers MUST implement a `wasmtime::ResourceLimiter` or `ResourceLimiterAsync` on the host Store context to cap max linear memory, table elements, and component instances per tenant invocation.

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 restrict WASI HTTP (`wasi

Services MUST restrict WASI HTTP (`wasi:http/outgoing-handler`) to an explicit tenant-scoped egress proxy or allowed CIDR/domain allowlist, rejecting raw TCP/UDP socket bind capabilities.

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 share instances, linear memory, or stores across tenant executions

Components NEVER share instances, linear memory, or stores across tenant executions; every incoming invocation must acquire an ephemeral Store or reset pooled state under a verified security 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.
Technical Questions & Answers

Frequently Asked Technical Questions

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

Q:Why is WASI 0.2 Component Sandboxing & Deterministic Capability Budgets critical for AI coding assistants?

Enforces strict capability-based isolation and deterministic resource limits for WASI 0.2 multi-tenant edge workers. Mandates explicit Store resource limiters, fuel/epoch compute metering, and zero-ambient-authority WASI contexts to prevent tenant escape and resource exhaustion without microVM overhead. 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 (Ambient Authority Inheritance and Unbounded Stores in Multi-Tenant Component Model Hosts) 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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