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backendcritical PriorityID: fastapi-anyio-structured-concurrency-lifespan

FastAPI 0.115+ AnyIO Structured Concurrency TaskGroup Lifespan Standard

Enforces deterministic cancellation and resource lifecycle management in FastAPI 0.115+ using AnyIO TaskGroups within lifespan contexts. Eliminates orphaned background worker coroutines, dangling database connections, and uncollected socket handles during server SIGTERM and SIGINT events.

Prohibited Anti-Pattern: Fire-and-Forget asyncio.create_task Invocations During Lifespan Causing Silent Zombie Tasks and Resource Leaks

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---
description: FastAPI 0.115+ AnyIO Structured Concurrency TaskGroup Lifespan Standard - Enforces deterministic cancellation and resource lifecycle management in FastAPI 0.115+ using AnyIO TaskGroups within lifespan contexts. Eliminates orphaned background worker coroutines, dangling database connections, and uncollected socket handles during server SIGTERM and SIGINT events.
globs: app/**/*.py, src/**/*.py, api/**/*.py
alwaysApply: true
verified_by: "agentrules.org"
license: "CC-BY-4.0"
source: "https://agentrules.org/rules/fastapi-anyio-structured-concurrency-lifespan"
---

# FastAPI 0.115+ AnyIO Structured Concurrency TaskGroup Lifespan Standard

> **Severity**: CRITICAL | **Category**: backend
> **Anti-Pattern Warning**: Fire-and-Forget asyncio.create_task Invocations During Lifespan Causing Silent Zombie Tasks and Resource Leaks

## System Constraints
You are a Principal Software Architect enforcing structured concurrency invariants in FastAPI 0.115+ applications. You must reject unstructured fire-and-forget concurrency patterns such as asyncio.create_task or raw threading in application startup hooks. Mandate anyio.create_task_group() within asynccontextmanager lifespan handlers to guarantee deterministic teardown, task supervision, and clean cancellation scope propagation on SIGTERM.

## Strict Guidelines
- Engineers MUST ALWAYS manage long-running application background tasks within an `anyio.create_task_group()` context inside the FastAPI lifespan handler.
- Engineers MUST NOT invoke `asyncio.create_task()`, `asyncio.ensure_future()`, or legacy `@app.on_event('startup')` / `@app.on_event('shutdown')` decorators.
- Code MUST explicitly cancel the `anyio.TaskGroup` using `tg.cancel_scope.cancel()` inside the `finally` block or post-yield teardown phase of the lifespan context.
- Services MUST yield an application state dictionary or typed context holding references to shared resources, allowing endpoints to cleanly access monitored infrastructure.
- Components NEVER start infinite background consumption loops without checking for cooperative cancellation or handling `anyio.get_cancelled_exc_class()`.

## Bad vs Good Implementations
### Migrating Unstructured Background Coroutines to AnyIO Structured TaskGroup Lifespans

#### Bad Antipattern (AI Common Hallucination)
> **Why it fails**: Using asyncio.create_task inside the lifespan detaches coroutine execution from the ASGI server cancellation scope. When the server receives SIGTERM, the coroutine is not cleanly cancelled, causing socket leaks, unclosed client sessions, and hung worker processes.
```python
import asyncio
from contextlib import asynccontextmanager
from fastapi import FastAPI

async def unbounded_metric_flusher():
    while True:
        await asyncio.sleep(5)
        # Orphaned loop that ignores ASGI shutdown
        print("Flushing metrics...")

@asynccontextmanager
async def lifespan(app: FastAPI):
    # ANTI-PATTERN: Fire-and-forget task escapes lifecycle supervision
    asyncio.create_task(unbounded_metric_flusher())
    yield
    # Task is never cancelled, holding sockets open indefinitely during reload

app = FastAPI(lifespan=lifespan)
```

#### Production Standard (Correct)
> **Standard**: Encapsulating the lifespan within anyio.create_task_group() guarantees structured concurrency. Yielding within the block suspends the lifespan until the ASGI server triggers teardown. The finally block cancels all child tasks, ensuring complete resource reclamation before process termination.
```python
from contextlib import asynccontextmanager
from typing import AsyncIterator, TypedDict
import anyio
from anyio.abc import TaskGroup
from fastapi import FastAPI

class AppState(TypedDict):
    task_group: TaskGroup

async def bounded_metric_flusher() -> None:
    try:
        while True:
            await anyio.sleep(5)
            # Monitored work payload
    except anyio.get_cancelled_exc_class():
        # Guaranteed cooperative teardown
        with anyio.CancelScope(shield=True):
            # Flushes pending metrics during graceful shutdown
            await anyio.sleep(0.1)
        raise

@asynccontextmanager
async def lifespan(app: FastAPI) -> AsyncIterator[AppState]:
    async with anyio.create_task_group() as tg:
        tg.start_soon(bounded_metric_flusher)
        try:
            yield {"task_group": tg}
        finally:
            # Deterministically trigger cancellation of all tasks in the group
            tg.cancel_scope.cancel()

app = FastAPI(lifespan=lifespan)
```

Architectural Specification & Invariant Rationale

Architectural Invariant Design: FastAPI 0.115+ AnyIO Structured Concurrency TaskGroup Lifespan Standard

FastAPI 0.115+ AnyIO Structured Concurrency TaskGroup Lifespan Standard defines an industrial-grade behavioral standard for backend engineering. Enforces deterministic cancellation and resource lifecycle management in FastAPI 0.115+ using AnyIO TaskGroups within lifespan contexts. Eliminates orphaned background worker coroutines, dangling database connections, and uncollected socket handles during server SIGTERM and SIGINT events. 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: Fire-and-Forget asyncio.create_task Invocations During Lifespan Causing Silent Zombie Tasks and Resource Leaks 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 DriftFire-and-Forget asyncio.create_task Invocations During Lifespan Causing Silent Zombie Tasks and Resource LeaksCritical
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 manage long-running application background tasks within an `anyio.create_task_group()` context inside the FastAPI lifespan handler.

Engineers MUST ALWAYS manage long-running application background tasks within an `anyio.create_task_group()` context inside the FastAPI lifespan handler.

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 invoke `asyncio.create_task()`, `asyncio.ensure_future()`, or legacy `@app.on_event('startup')` / `@app.on_event('shutdown')` decorators.

Engineers MUST NOT invoke `asyncio.create_task()`, `asyncio.ensure_future()`, or legacy `@app.on_event('startup')` / `@app.on_event('shutdown')` decorators.

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 MUST explicitly cancel the `anyio.TaskGroup` using `tg.cancel_scope.cancel()` inside the `finally` block or post-yield teardown phase of the lifespan context.

Code MUST explicitly cancel the `anyio.TaskGroup` using `tg.cancel_scope.cancel()` inside the `finally` block or post-yield teardown phase of the lifespan context.

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 yield an application state dictionary or typed context holding references to shared resources, allowing endpoints to cleanly access monitored infrastructure.

Services MUST yield an application state dictionary or typed context holding references to shared resources, allowing endpoints to cleanly access monitored infrastructure.

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 start infinite background consumption loops without checking for cooperative cancellation or handling `anyio.get_cancelled_exc_class()`.

Components NEVER start infinite background consumption loops without checking for cooperative cancellation or handling `anyio.get_cancelled_exc_class()`.

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 FastAPI 0.115+ AnyIO Structured Concurrency TaskGroup Lifespan Standard critical for AI coding assistants?

Enforces deterministic cancellation and resource lifecycle management in FastAPI 0.115+ using AnyIO TaskGroups within lifespan contexts. Eliminates orphaned background worker coroutines, dangling database connections, and uncollected socket handles during server SIGTERM and SIGINT events. 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 (Fire-and-Forget asyncio.create_task Invocations During Lifespan Causing Silent Zombie Tasks and Resource Leaks) 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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