Error 401: what to do when doubao-seed-2-0-mini-260428 fails

A 401 means authentication failed: the request carries no API key, or the key is invalid, deleted or expired.

401 Unauthorized means the request carries no valid credential. The gateway could not identify the caller, so the request never reaches the upstream model. Checking the Authorization header and the key status is the only path forward.

doubao-seed-2-0-mini-260428 is served by Volcengine Ark. 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 Authorization header is missing. The recommended first action is: Send the header as Authorization: Bearer followed by your key.

Common causes

  • The Authorization header is missing
  • The key is misspelled or has stray whitespace
  • The key was deleted or disabled on the Tokens page
  • A key from another platform was used by mistake

How to fix

  • Send the header as Authorization: Bearer followed by your key
  • Generate a fresh key on the Tokens page
  • Check that you are not using a key from another service
  • Verify the key with a minimal curl request

Retry with exponential backoff

The snippet below retries when doubao-seed-2-0-mini-260428 returns 401, 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 = 'doubao-seed-2-0-mini-260428'


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 endpointhttps://api.airai.cc/v1
OpenAI-compatibleOpenAI-compatible
VendorVolcengine Ark
Context256K
CapabilitiesReasoning, Tools, Files, Vision
API formatsopenai, openai-response, openai-response-compact, anthropic, gemini, openai-alpha-search
Billing formulap * 0.0273973 + cr * 0.00547945 + c * 0.273973) : len <= 128000 ? tier("32k_128k", p * 0.0547945 + cr * 0.00547945 + c * 0.547945) : tier("128k_plus", p * 0.109589 + cr * 0.00547945 + c * 1.09589

FAQ

Can switching to a comparable model from another vendor fix 401?

Keep a fallback model ready as well. This model from Volcengine Ark has several upstream nodes the gateway can switch between. Keep a lighter fallback model ready so the main flow never breaks. Put the model name in config, so switching upstreams needs no code change.

Staging is fine but production returns 401 — what could differ?

Keep the request ID and the raw response body, otherwise nothing can be traced. If it only happens in production, it is usually an environment difference, not the model. This model is served by Volcengine Ark, so upstream status follows the vendor’s own announcements. Reproduce it once in a staging environment with the same request body.

Does sharing one key across several services make 401 more likely?

Raising the plan ceiling or lowering the call rate both help. Input price is about $0.03 per million tokens. With billing p * 0.0273973 + cr * 0.00547945 + c * 0.273973) : len <= 128000 ? tier("32k_128k", p * 0.0547945 + cr * 0.00547945 + c * 0.547945) : tier("128k_plus", p * 0.109589 + cr * 0.00547945 + c * 1.09589, failed requests are not counted toward usage. Check your balance and rate limits in the console before debugging code.

Is 401 related to the capability of the model itself?

This error is unrelated to model capability; it is a gateway-layer issue. It is usually transient and recovers on its own. The capability tags for this model are Reasoning, Tools, Files, Vision. Decide account-level versus model-level first; the two need completely different handling.

Other errors on this model

Other models with the same error

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Data updated: 2026-10-11 13:20

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