Expired80% confidenceFactTime unknown
Thinking mode adds an extra reasoning_content field in the model response, which LangChain's output parser does not expect by default.
1
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
6/2/2026
First Seen
Valid until: 8/31/2026(expired)
Sources
Related Entities
Related Claims
UnverifiedReasoning models perform extended reasoning within thinking blocks wrapped in special tokens (such as <think> and </think>); this content is typically not shown directly to users but consumes a large number of tokens.75% similarUnverifiedWhen constraining output format through prompts, the model may forget these constraints in long conversations or complex reasoning scenarios.72% similarUnverifiedThe inference process of large language models is autoregressive, and the number of output Tokens is almost linearly correlated with response latency.72% similarUnverifiedWhen a prompt is entered, the model predicts the most likely next token based on context, rather than truly understanding the semantics.72% similarUnverified大语言模型采用自回归生成机制，在生成token时使用单向前向注意力，无法进行全局类型校验，易产生API幻觉72% similar
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