binary-husky/gpt_academic · error · RuntimeError

意外Json结构：{delta}

Error message

意外Json结构：{delta}

What it means

RuntimeError('意外Json结构：'+delta) raised when a stream delta from bridge_openrouter is neither the has_content nor the has_role shape - i.e. decode_chunk found a valid choices[0].delta dict, but it contains unexpected keys only (no 'content', no 'role'). This is the bridge's guard against non-standard OpenAI-compatible providers that inject extra fields or change the delta schema.

Source

Thrown at request_llms/bridge_openrouter.py:200

        if ('data: [DONE]' in chunk_decoded): break # api2d 正常完成
        # 提前读取一些信息 （用于判断异常）
        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
    """

View on GitHub (pinned to d6bde0fa54)

Solutions

1. Inspect the delta printed in the exception to see which unexpected field the provider sends
2. Switch to a model/provider whose deltas only carry role/content, or extend decode_chunk to whitelist the extra field (e.g. map reasoning_content into content)
3. Update the bridge to a version that tolerates extra delta keys instead of raising
4. Disable function-calling / tool parameters if the provider echoes them into deltas

Example fix

# before
else: raise RuntimeError("意外Json结构："+delta)

# after
elif 'reasoning_content' in delta:
    result += delta['reasoning_content']
else:
    raise RuntimeError("意外Json结构：" + str(delta))

def delta_is_supported(delta: dict) -> bool:
    """True when the bridge can consume this delta shape."""
    return isinstance(delta, dict) and ('content' in delta or 'role' in delta)

try:
    result = predict_no_ui_long_connection(...)
except RuntimeError as e:
    if '意外Json结构' in str(e):
        unsupported = e.args[0].split('意外Json结构：')[-1]
        logging.warning('provider sent unsupported delta keys: %s', unsupported)
        switch_to_standard_provider()
    raise

When it happens

Trigger: Provider sends delta with only fields like {'reasoning_content': ...} or {'tool_calls': ...}; third-party relay inserting custom metadata keys; new API surface (function calling, reasoning models) not handled by this older bridge.

Common situations: Routing OpenRouter to reasoning models (e.g. deepseek-r1 style) whose deltas carry reasoning fields; providers with bespoke SSE extensions; model versions adding new delta fields.

Related errors

• 无法读取以下数据，请检查配置。 {chunk_decoded}
• No image URL found in the response.
• 意外Json结构：
• 无法读取以下数据，请检查配置。 {chunk_decoded}
• Json解析不合常规

AI-assisted analysis of binary-husky/gpt_academic@d6bde0fa54 (2026-08-14). Data as JSON: /api/errors/b6480234709c1214. Report an issue: GitHub.