Cursor keeps hanging after saying "Now I" during chat when referencing CSV or MD files with tabular data

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Hi @Steven_Padfield1,

Thanks for the detailed report and the request ID. I looked into what happened with that specific request and found a clear picture of the issue.

What happened with your request:

Your request to Claude Opus 4.5 timed out at the model provider’s backend. The system automatically retried 4 times across different servers over about 6.5 minutes, but each attempt timed out as well. This is why you experienced “multiple minutes” of pausing before getting the final network error. The partial output you saw (“Now I”, “understand the structure”) was likely from the initial streaming attempts before each connection dropped.

Why larger files make it worse:

You’re right to notice a correlation with CSV and MD files containing tabular data. A 200-row CSV adds significantly to the request size, which means each attempt takes longer to process at the provider and is more susceptible to timeouts. With smaller prompts, the model responds faster and stays under the timeout threshold, so you mostly just see the baseline thinking pauses. With a larger context, the longer processing time increases the chance of hitting a timeout, triggering the retry cycle.

The baseline “Now I” pauses:

You also mentioned “always there is at least some latency” with phrases like “Now I” or “You’re absolutely.” This is separate from the timeout issue. Claude 4.5 Opus is a thinking model, which means it does internal reasoning between visible output tokens. These brief pauses (usually a few seconds) are normal behavior for thinking models. A user in this related thread reported the same pattern, and our team has acknowledged the elevated latency.

What you can do:

  1. Retry the request. The provider timeouts are intermittent, and a retry often succeeds.

  2. Try a non-thinking model. Switching to Sonnet 4.5 or Sonnet 4.6 gives smoother, more fluid streaming without the internal reasoning pauses, and these models are also faster (less likely to hit timeouts).

  3. Reduce context size where possible. If you can reference specific sections of the CSV rather than the full file, the smaller payload processes faster and is less likely to time out.