CommandCodeAI / CommandCodeAI/command-code
something seems not correct with ds v4 flash caching
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Descripción
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!
Expected Behavior
n.a.
Actual Behavior
n.a.
Steps to reproduce the issue
n.a.
Command Code Version
claude code
Operating System
macOS
Terminal/IDE
No response
Shell
No response
Session file (optional)
No response
Fix prompt (optional)
No response
Additional context
No response
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- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Línea de trabajo
Comienza revisando las pruebas adjuntas del panel de uso y los request trace IDs recientes mencionados en el informe. Compara la entrada cobrada con el comportamiento esperado de cache-read y verifica si las solicitudes de DeepSeek V4 Flash están recibiendo prompt-cache hits; el trabajo estará terminado cuando se confirme la causa de routing o caching, o se descarte con pruebas.
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Evaluación
- Área
- ai, backend
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Activo
- Claridad
- Necesita aclaración
- Aptitud para principiantes
- 28/100