Unverified50% confidenceCautionExact time
Ponytail is not suitable for reasoning models (such as the OpenAI o series and DeepSeek-R1), because the reasoning overhead may instead lead to outputting more code and consuming more tokens.
1
Sources
50%
Confidence
Long-term
Relevance
11/3/2026
First Seen
Sources
AI Writing Too Much Code? Ponytail Plugin Cuts Output by 54%
bilibili尔立erlin10/27/2026
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UnverifiedThe approach of having the model assemble requests on its own solely based on API documentation has limitations: it may hallucinate parameters, overlook authentication, handle errors improperly, and requires stuffing complete documentation into the context, causing context bloat, increasing costs, and reducing accuracy.63% similarUnverifiedThere are three reasons for not directly sending all documents to a large model: the model cannot read all content due to context window limitations, inference costs are high, and inference speed is slow.63% similarUnverifiedIn models that support reasoning, max_tokens limits the total tokens of the visible answer and the invisible chain-of-thought; when the chain of thought fills the budget, the model has no room left to output the final answer, and the API returns empty or truncated content.62% similarUnverifiedPonytail's benchmark data comes from official self-testing, and actual results may vary depending on project type and use case.61% similar
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