CommandCodeAI / CommandCodeAI/command-code

something seems not correct with ds v4 flash caching

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Description

Summary

Hi Command team,

Could you please help check whether there is an issue with DeepSeek V4 Flash caching or upstream routing on the Command servers?

My GOAT usage has increased unusually fast over the last couple of hours, and I hit the $35 weekly limit much faster than before, even though I have only been using deepseek/deepseek-v4-flash for past few hours and my workflow has not changed significantly.

One recent request from my usage dashboard shows:

  • Input tokens: 357,723
  • Output tokens: 120
  • Charged: $0.0783
  • Model: deepseek/deepseek-v4-flash

At the current off-peak DeepSeek V4 Flash pricing, 357,723 fresh input tokens × $0.22/M is approximately $0.0787, which is almost exactly what I was charged.

This seems to suggest that nearly the entire input was billed as fresh/cache-miss input rather than cache-read input.

This is unusual for my workload. When I previously used the DeepSeek API directly for the same type of long-running agent workflow, my prompt cache hit rate was typically around 95–98%. For example, on one day I had about 758M cached input tokens versus only 13.4M uncached input tokens.

Could you please check whether there has recently been any issue with:

  • DeepSeek V4 Flash prompt caching
  • upstream provider/server routing or cache affinity
  • cache keys being invalidated between consecutive agent requests
  • any changes related to the recent DeepSeek V4 Flash / pricing update

I’ve attached screenshots of both my Command usage and my previous DeepSeek API usage for comparison.

If possible, could you also check the trace IDs from my recent requests and confirm whether those requests were actually receiving prompt-cache hits?

Thanks!

Image
Expected Behavior

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Actual Behavior

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Steps to reproduce the issue

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Command Code Version

claude code

Operating System

macOS

Terminal/IDE

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Shell

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Session file (optional)

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Fix prompt (optional)

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Additional context

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the attached usage dashboard evidence and the recent request trace IDs mentioned in the report. Compare the charged input with expected cache-read behavior and verify whether DeepSeek V4 Flash requests are receiving prompt-cache hits; done means confirming the routing or caching cause, or ruling it out with evidence.

Written by the indexing model from the issue text.

Assessment

Domain
ai, backend
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
28/100

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