binary-husky/gpt_academic · error · Exception

Response {i} is None

Error message

Response {i} is None

What it means

QueryAnalyzer fans out several prompts through request_gpt_model_multi... and then reads responses at odd indices (responses[i*2+1] — the assistant turn interleaved with user turns). If such an entry is None, the LLM call for that prompt produced no output and the analyzer raises Exception('Response {i} is None'). None here means the multi-request bridge returned a placeholder for a failed/skipped generation, not that the list is malformed.

Source

Thrown at crazy_functions/review_fns/query_analyzer.py:182

            # 使用同步方式调用LLM
            responses = yield from request_gpt(
                inputs_array=prompts,
                inputs_show_user_array=show_messages,
                llm_kwargs=new_llm_kwargs,
                chatbot=chatbot,
                history_array=[[] for _ in prompts],
                sys_prompt_array=sys_prompts,
                max_workers=5
            )

            # 从收集的响应中提取我们需要的内容
            extracted_responses = []
            for i in range(len(prompts)):
                if (i * 2 + 1) < len(responses):
                    response = responses[i * 2 + 1]
                    if response is None:
                        raise Exception(f"Response {i} is None")
                    if not isinstance(response, str):
                        try:
                            response = str(response)
                        except:
                            raise Exception(f"Cannot convert response {i} to string")
                    extracted_responses.append(response)
                else:
                    raise Exception(f"未收到第 {i + 1} 个响应")

            # 解析基本信息
            query_type = self._extract_tag(extracted_responses[self.BASIC_QUERY_INDEX], "query_type")
            if not query_type:
                print(
                    f"Debug - Failed to extract query_type. Response was: {extracted_responses[self.BASIC_QUERY_INDEX]}")
                raise Exception("无法提取query_type标签内容")
            query_type = query_type.lower()

            main_topic = self._extract_tag(extracted_responses[self.BASIC_QUERY_INDEX], "main_topic")

View on GitHub (pinned to d6bde0fa54)

Solutions

1. Retry the whole analysis call — transient API failures usually succeed on a second run.
2. Check the LLM backend logs/config (API key, rate limits, model name) if the same index is None every time.
3. Reduce max_workers concurrency (5 parallel requests) if rate limiting is the cause.
4. Report which prompt index failed (the {i} in the message maps to prompts[i]) to identify a poison prompt.

def has_all_responses(responses: list, prompt_count: int) -> bool:
    return (
        len(responses) >= prompt_count * 2
        and all(responses[i * 2 + 1] is not None for i in range(prompt_count))
    )

try:
    result = analyzer.analyze(query)
except Exception as e:
    if 'is None' in str(e):  # transient LLM worker failure
        result = analyzer.analyze(query)  # one retry
    else:
        raise

When it happens

Trigger: One of the parallel LLM requests fails or is dropped (API error swallowed by the bridge, empty completion, worker exception) while others succeed, leaving responses[k] = None at the assistant slot; intermittent network/API errors during the 5-worker fan-out.

Common situations: API key quota/rate limit hit mid-batch so some workers return None; model endpoint returning empty completion for one prompt; timeouts in the multi-thread bridge; misconfigured LLM_MODEL that fails only on certain prompt shapes.

Related errors

• 未收到第 {i + 1} 个响应
• 未收到第 {i + 1} 个响应
• Cannot convert response {i} to string
• 无法提取query_type标签内容
• 分析查询失败: {str(e)}

AI-assisted analysis of binary-husky/gpt_academic@d6bde0fa54 (2026-08-14). Data as JSON: /api/errors/63c279b98ed168e2. Report an issue: GitHub.