binary-husky/gpt_academic · error · RuntimeError

由于提问含不合规内容被Azure过滤。

Error message

由于提问含不合规内容被Azure过滤。

What it means

RuntimeError raised after the OpenRouter stream completes when the final chunk's finish_reason is 'content_filter': the upstream (typically Azure OpenAI content safety) blocked the response. No partial result is returned; the exception is the only signal. Despite living in bridge_openrouter, the message text is Azure-specific because the bridge reuses Azure handling logic.

Source

Thrown at request_llms/bridge_openrouter.py:202

        json_data = chunkjson['choices'][0]
        delta = json_data["delta"]
        if len(delta) == 0: break
        if (not has_content) and has_role: continue
        if (not has_content) and (not has_role): continue # raise RuntimeError("发现不标准的第三方接口："+delta)
        if has_content: # has_role = True/False
            result += delta["content"]
            if not console_silence: print(delta["content"], end='')
            if observe_window is not None:
                # 观测窗，把已经获取的数据显示出去
                if len(observe_window) >= 1:
                    observe_window[0] += delta["content"]
                # 看门狗，如果超过期限没有喂狗，则终止
                if len(observe_window) >= 2:
                    if (time.time()-observe_window[1]) > watch_dog_patience:
                        raise RuntimeError("用户取消了程序。")
        else: raise RuntimeError("意外Json结构："+delta)
    if json_data and json_data['finish_reason'] == 'content_filter':
        raise RuntimeError("由于提问含不合规内容被Azure过滤。")
    if json_data and json_data['finish_reason'] == 'length':
        raise ConnectionAbortedError("正常结束，但显示Token不足，导致输出不完整，请削减单次输入的文本量。")
    return result


def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWithCookies,
            history:list=[], system_prompt:str='', stream:bool=True, additional_fn:str=None):
    """
    发送至chatGPT，流式获取输出。
    用于基础的对话功能。
    inputs 是本次问询的输入
    top_p, temperature是chatGPT的内部调优参数
    history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误）
    chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容
    additional_fn代表点击的哪个按钮，按钮见functional.py
    """
    from request_llms.bridge_all import model_info
    if is_any_api_key(inputs):

View on GitHub (pinned to d6bde0fa54)

Solutions

1. Rephrase the sensitive part of the input and retry
2. If you own the Azure deployment, relax the content filter categories/thresholds in Azure OpenAI Studio
3. Switch to a non-Azure provider for that model via OpenRouter routing
4. Catch RuntimeError and surface a friendly 'request blocked by content filter' message instead of a stack trace

Example fix

# before
resp = predict(inputs, llm_kwargs, ...)

# after
try:
    resp = predict(inputs, llm_kwargs, ...)
except RuntimeError as e:
    if '不合规内容' in str(e):
        chatbot[-1] = (chatbot[-1][0], '[Local Message] 请求被内容安全策略拦截，请改写后重试。')
        yield from update_ui(chatbot)
        return

def finish_reason_is_filter(json_data) -> bool:
    return bool(json_data) and json_data.get('finish_reason') == 'content_filter'

try:
    result = predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history)
except RuntimeError as e:
    if '不合规内容' in str(e):
        chatbot[-1] = (chatbot[-1][0], '[Local Message] 内容被安全过滤，请改写提问后重试。')
        yield from update_ui(chatbot)
        return
    raise

When it happens

Trigger: Prompt or generated output trips Azure's content moderation filter (finish_reason='content_filter'); sending content in a regulated category for the deployment's filter policy; routing via OpenRouter to an Azure-backed provider slot.

Common situations: Academic/medical/violence-adjacent text triggering false positives; strict default Azure content filters on a new deployment; prompt-injection-like payloads being filtered.

Related errors

• 由于提问含不合规内容被过滤。
• Endpoint不正确, 请检查AZURE_ENDPOINT的配置! 当前的Endpoint为:{endpoint}
• AZURE_CFG_ARRAY中配置的模型必须以azure开头
• Endpoint不正确, 请检查AZURE_ENDPOINT的配置! 当前的Endpoint为:
• Endpoint不正确, 请检查AZURE_ENDPOINT的配置! 当前的Endpoint为:

AI-assisted analysis of binary-husky/gpt_academic@d6bde0fa54 (2026-08-14). Data as JSON: /api/errors/89c8ad00aaaa1130. Report an issue: GitHub.