---

name: anth-reliability-patterns description: 'Implement reliability patterns for Claude API: circuit breakers,

graceful degradation, idempotency, and fallback strategies.

Trigger with phrases like "anthropic reliability", "claude circuit breaker",

"claude fallback", "anthropic fault tolerance".

' allowed-tools: Read, Write, Edit, Grep version: 1.7.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

• saas
• ai
• anthropic compatibility: Designed for Claude Code

---

Anthropic Reliability Patterns

Overview

Production reliability patterns for Claude API: circuit breaker (prevent cascading failures), graceful degradation (serve fallbacks), idempotency (safe retries), and timeout management.

Circuit Breaker

import time
from enum import Enum

class CircuitState(Enum):
    CLOSED = "closed"       # Normal operation
    OPEN = "open"           # Failing, reject requests
    HALF_OPEN = "half_open" # Testing recovery

class ClaudeCircuitBreaker:
    def __init__(self, failure_threshold: int = 5, recovery_timeout: int = 60):
        self.state = CircuitState.CLOSED
        self.failures = 0
        self.threshold = failure_threshold
        self.recovery_timeout = recovery_timeout
        self.last_failure_time = 0.0

    def call(self, func, *args, **kwargs):
        if self.state == CircuitState.OPEN:
            if time.time() - self.last_failure_time > self.recovery_timeout:
                self.state = CircuitState.HALF_OPEN
            else:
                raise Exception("Circuit breaker OPEN — Claude API unavailable")

        try:
            result = func(*args, **kwargs)
            if self.state == CircuitState.HALF_OPEN:
                self.state = CircuitState.CLOSED
                self.failures = 0
            return result
        except Exception as e:
            self.failures += 1
            self.last_failure_time = time.time()
            if self.failures >= self.threshold:
                self.state = CircuitState.OPEN
            raise

# Usage
breaker = ClaudeCircuitBreaker(failure_threshold=5, recovery_timeout=60)

def safe_claude_call(prompt: str) -> str:
    try:
        return breaker.call(
            client.messages.create,
            model="claude-sonnet-4-20250514",
            max_tokens=1024,
            messages=[{"role": "user", "content": prompt}]
        ).content[0].text
    except Exception:
        return "AI assistant is temporarily unavailable."

Graceful Degradation

import anthropic

def complete_with_fallback(prompt: str) -> str:
    """Try Sonnet → Haiku → cached response → static fallback."""
    models = ["claude-sonnet-4-20250514", "claude-haiku-4-20250514"]

    for model in models:
        try:
            msg = client.messages.create(
                model=model,
                max_tokens=1024,
                messages=[{"role": "user", "content": prompt}]
            )
            return msg.content[0].text
        except anthropic.RateLimitError:
            continue  # Try cheaper model
        except anthropic.APIStatusError:
            continue  # Try next model

    # All models failed — return cached or static response
    cached = cache.get(f"claude:{hash(prompt)}")
    if cached:
        return f"[Cached response] {cached}"

    return "Our AI assistant is temporarily unavailable. Please try again in a few minutes."

Idempotent Requests

import hashlib
import json

class IdempotentClaude:
    def __init__(self):
        self.client = anthropic.Anthropic()
        self.cache = {}  # Use Redis in production

    def create_message(self, idempotency_key: str | None = None, **kwargs) -> str:
        # Generate deterministic key from request params if not provided
        if not idempotency_key:
            idempotency_key = hashlib.sha256(
                json.dumps(kwargs, sort_keys=True, default=str).encode()
            ).hexdigest()

        # Return cached result for duplicate requests
        if idempotency_key in self.cache:
            return self.cache[idempotency_key]

        msg = self.client.messages.create(**kwargs)
        result = msg.content[0].text
        self.cache[idempotency_key] = result
        return result

Timeout Configuration

# Layer timeouts for defense-in-depth
client = anthropic.Anthropic(
    timeout=60.0,      # SDK-level timeout (covers connect + read)
    max_retries=3,     # Auto-retry on 429/5xx
)

# Per-request timeout override
msg = client.messages.create(
    model="claude-haiku-4-20250514",
    max_tokens=64,
    messages=[{"role": "user", "content": "Quick question"}],
    timeout=10.0  # Override for fast operations
)

Reliability Checklist

• Circuit breaker prevents cascading failures
• Graceful degradation serves fallback responses
• Idempotency keys prevent duplicate processing
• Timeouts configured at SDK and application level
• Health check probes API connectivity
• Retry logic uses exponential backoff (SDK default)
• Rate limit headers monitored for pre-emptive throttling

Prerequisites

• Define an approved model/workspace policy, request timeout, retry and circuit thresholds, fallback behavior, idempotency store, and rollback owner.
• Exercise the controls in a sandbox using synthetic prompts and a no-op downstream sink before enabling production traffic.
• Permit telemetry to contain only correlation IDs, status classes, model IDs, token counts, latency, breaker state, and aggregate fallback counts. Never store prompts, completions, credentials, or sensitive tool arguments.

Instructions

1. Validate request scope and estimate budget before the call; reject unapproved models, destinations, or data classes before invoking the API.
2. Apply bounded retries only to transient, repeat-safe failures. Coordinate backoff and breaker state across instances so a provider incident does not create a retry storm.
3. Generate an application idempotency key from a stable request identity, not from an unredacted prompt. Cache only completed, policy-approved results and never deduplicate operations with unreviewed side effects.
4. Route to an explicitly approved fallback or a static response when the breaker opens. A fallback must preserve authorization and data-handling rules rather than silently widening scope.
5. Run a canary after configuration changes, compare error/latency/fallback metrics, and restore the prior configuration if thresholds or data controls regress. Expire test fixtures and temporary cache entries.

Output

Return a reliability receipt with correlation ID, breaker transition, retry attempts and reasons, fallback route, idempotency outcome, timeout, aggregate token/cost counters, canary result, rollback reference, and cleanup status. Keep content and secret fields redacted.

Error Handling

• Do not retry validation, authentication, permission, or policy failures; surface a stable operator-safe error and preserve the original request ID.
• When all fallbacks fail, fail closed with a bounded user-facing message and queue only work that has an explicit retention and replay policy.
• If a cached response is stale, scope-mismatched, or missing its policy version, discard it and use the static fallback.
• If duplicate suppression or breaker state is unavailable, stop new nonessential traffic rather than issuing uncoordinated retries.

Examples

In a sandbox, inject five synthetic 529 responses, confirm the breaker opens, then allow one half-open probe. Record retries=bounded; fallback=static; duplicate_writes=0; canary=pass; rollback=not-needed, with no prompt or completion in the receipt.

Resources

• API Error Types
• Rate Limits

Next Steps

For policy guardrails, see anth-policy-guardrails.