Error 502: what to do when claude-haiku-4-5-20251001 fails
A 502 means the gateway received an invalid response from the upstream model service: the request reached the gateway, but the hop to the upstream failed.
502 Bad Gateway means the gateway received an invalid response from the upstream model service. The request reached the gateway; the failure happened on the hop from gateway to upstream, usually due to an upstream restart or a dropped connection.
claude-haiku-4-5-20251001 is served by Anthropic. Everything on this page — triggers, fixes and measured data — is compiled from the real runtime behaviour of this model at the gateway layer.
At this gateway, the most common trigger is: The upstream model service is unavailable or returned a malformed response. The recommended first action is: Retry once — 502s are usually transient.
Common causes
- The upstream model service is unavailable or returned a malformed response
- An upstream node is restarting
- The gateway-to-upstream connection was interrupted
- The model was temporarily taken offline
How to fix
- Retry once — 502s are usually transient
- Switch to an equivalent model from another vendor
- If only one model keeps returning 502, its upstream is unhealthy
- Try again later or contact us
Retry with exponential backoff
The snippet below retries when claude-haiku-4-5-20251001 returns 502, up to 5 attempts, with an increasing wait plus random jitter so concurrent calls do not retry in lockstep. Read the base URL and API key from environment variables — never hardcode them.
import os, time, random
import requests
BASE = os.getenv("OPENAI_BASE_URL") # e.g. https://<your-gateway>/v1
KEY = os.getenv("OPENAI_API_KEY")
MODEL = 'claude-haiku-4-5-20251001'
def chat(messages, retries=5):
"""Retry with exponential backoff + jitter."""
for i in range(retries):
try:
r = requests.post(
BASE + "/chat/completions",
headers={"Authorization": "Bearer " + KEY},
json={"model": MODEL, "messages": messages, "stream": True},
timeout=60,
)
if r.status_code == 429 or r.status_code >= 500:
time.sleep(min(2 ** i + random.uniform(0, 1), 30))
continue
r.raise_for_status()
return r.json()
except requests.exceptions.Timeout:
time.sleep(min(2 ** i + random.uniform(0, 1), 30))
raise RuntimeError("gave up after " + str(retries) + " retries")
print(chat([{"role": "user", "content": "hello"}]))Key facts for this model
| API endpoint | https://api.airai.cc/v1 |
|---|---|
| OpenAI-compatible | OpenAI-compatible |
| Vendor | Anthropic |
|---|---|
| Context | 200K |
| Capabilities | Reasoning, Tools, Files, Vision |
| API formats | openai, openai-response, openai-response-compact, anthropic, gemini, openai-alpha-search |
| Billing formula | p * 1 + cr * 0.1 + cc * 1.25 + cc1h * 2 + c * 5 |
FAQ
Do failed requests count against my rate limit quota?
Only the output already produced is billed; the failed part is not. Billing follows p * 1 + cr * 0.1 + cc * 1.25 + cc1h * 2 + c * 5, so no output means no charge. With billing p * 1 + cr * 0.1 + cc * 1.25 + cc1h * 2 + c * 5, the cost of long output comes mostly from output tokens. Check your balance and rate limits in the console before debugging code.
Is 502 on claude-haiku-4-5-20251001 related to my account quota?
It is mainly a quota matter, not a fault in the model itself. With billing p * 1 + cr * 0.1 + cc * 1.25 + cc1h * 2 + c * 5, the cost of long output comes mostly from output tokens. With billing p * 1 + cr * 0.1 + cc * 1.25 + cc1h * 2 + c * 5, failed requests are not counted toward usage. Check your balance and rate limits in the console before debugging code. When estimating cost from p * 1 + cr * 0.1 + cc * 1.25 + cc1h * 2 + c * 5, include the retry budget.
Should retries add random jitter?
Retrying is the most effective first step. With billing p * 1 + cr * 0.1 + cc * 1.25 + cc1h * 2 + c * 5, failed requests are not counted toward usage. Set the retry ceiling to 3–5 attempts and add jitter. Use exponential backoff for retryable errors and return immediately for the rest.
Can switching to another model work around 502 on claude-haiku-4-5-20251001?
Building a fallback into the architecture is more reliable than patching errors one by one. This model from Anthropic has several upstream nodes the gateway can switch between. Put the model name in config, so switching upstreams needs no code change.
Other errors on this model
- claude-haiku-4-5-20251001: error 429 — causes and fixes
- claude-haiku-4-5-20251001: error timeout — causes and fixes
- claude-haiku-4-5-20251001: error 500 — causes and fixes
- claude-haiku-4-5-20251001: error 503 — causes and fixes
- claude-haiku-4-5-20251001: error 504 — causes and fixes
- claude-haiku-4-5-20251001: error 401 — causes and fixes
- claude-haiku-4-5-20251001: error 403 — causes and fixes
- claude-haiku-4-5-20251001: error 400 — causes and fixes
Other models with the same error
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- grok-4.3
- llama-3.3-70b-instruct
- qvq-max
- qwq-32b
- glm-5
- MiniMax-M3
- kimi-k3
- hy3
- doubao-seed-evolving
- mimo-v2.5
- gpt-4o
- claude-opus-4-6
Data updated: 2026-10-10 15:55