CommandCodeAI / CommandCodeAI/command-code
Provider API: failed requests and no-op agent runs are billed in full ($15.56 in under 3 minutes on gpt-5.6-sol)
Nadie ha tomado este issue todavía.
- Lenguaje dominante
- Sin datos de lenguaje
- Estrellas
- 4k
- Forks
- 350
- Métricas de merge de PR
- Sin PR fusionados en 30 d
Descripción
Summary
Provider API, model gpt-5.6-sol, plan individual-goat:
$15.5624 charged across 12 requests in 2 minutes 49 seconds (2026-09-19 05:36:24-05:39:13 local UTC+8 / 2026-09-18 21:36-21:39 UTC).
Each request carried ~305k-336k tokens of context, giving an effective rate of ~$4.02 per 1M tokens. This single 3-minute burst exceeded the 5-hour window cap ($14; window shows $17.2783 used) and consumed 44% of the $35 weekly cap.
Expected Behavior
- A request that returns FAILED should not be billed in full.
- Exceeding a 5-hour window should not be reachable by one client in under 3 minutes with no warning.
- A per-API-key spend cap or alert (and/or a warning threshold before the window is exhausted) would prevent silent burn.
Actual Behavior
- The request at 05:39:13 returned FAILED and was still billed $0.2844.
- A background agent made 10 calls on gpt-5.6-sol costing ~$7.19 with no usable output at all.
- 4 of the 12 requests cost ~$3.00-3.31 each ($12.6744 = 81.4% of the spend); the other 8 cost $0.27-0.44. The expensive ones appear to be full cache-prefix rewrites billed at $6.25/1M.
- Net: $15.5624 for 3,869,607 tokens (1,306,770 input + 2,562,837 cache read + 14,367 output) = $4.02 per 1M tokens.
Steps to reproduce the issue
- Use the Provider API (api.commandcode.ai/provider/v1) with model gpt-5.6-sol on a plan that has a 5-hour window cap.
- Send requests from a client that carries a large context (~300k+ tokens per call) and does not keep the prompt prefix stable - e.g. a harness that compacts context, retries, or switches models.
- Observe ~$1.30 average per request, then the 5-hour window being exceeded within minutes.
Command Code Version
1.56.2
Operating System
Windows
Terminal/IDE
DeepSeek Harness (dsh) via Provider API, not the CLI
Shell
PowerShell
Session file (optional)
No response
Fix prompt (optional)
No response
Additional context
Requesting a review and credit for the FAILED request ($0.2844) and the 10 no-op background-agent calls (~$7.19) - failed or empty runs should not bill at full rate.
Account context:
- plan: individual-goat; billing period started 2026-09-18T12:02:57Z
- official usage summary for the period: $19.2692 over 1,573 requests, 670,391,454 input tokens / 1,170,128 output tokens
- /alpha/billing/credits at the time: fiveHour used $17.2783 / cap $14 (exceeded), weekly used $19.2547 / cap $35
Feature request that would have prevented this: expose per-request cost in the API (or a spend webhook) so clients can stop before burning a whole window. Note also that the usage API does not break out cache-write tokens, which makes client-side cost meters under-report roughly 2x for models that bill cache writes.
Happy to share the 12 request IDs from the Studio usage log.
Guía de contribución
No hay ninguna guía de contribución indexada para este repositorio
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- 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 en el punto de entrada de Provider API, api.commandcode.ai/provider/v1, y rastrea cómo se contabilizan las solicitudes fallidas, las ejecuciones vacías de agentes, los tokens de escritura de caché y los límites de gasto. No se nombra ningún archivo del repositorio ni ninguna prueba; la finalización debería establecer si las llamadas fallidas o no-op se facturan correctamente y si se aborda el comportamiento del límite informado, la advertencia o el coste por solicitud.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Área
- ai, api, payments
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Activo
- Claridad
- Bastante claro
- Aptitud para principiantes
- 42/100