Engineering leadership
- Assistant rollout without a per-tool compliance review
- Model choice revisited on price and quality, not on vendor lock-in
Source code is often the most jurisdiction-sensitive asset an engineering team holds, and the hardest to keep in one place when developer tooling defaults to global endpoints.
Code separate from chat
Written at second wave
The problem
Assistant traffic may bypass the gateway used by the rest of the stack.
Context windows drag large slices of a repository into every request.
Inline completion latency may encourage pinning a single provider.
The approach
An OpenAI-compatible endpoint points any editor or harness at Menu Items without plugin changes.
Repository-scoped keys keep a code boundary separate from a chat boundary.
Fast paths are selected inside the region rather than across it.
Models for this workload
| Model | Provider | Context | Input, per 1M | Regions | Residency |
|---|---|---|---|---|---|
| DeepSeek V4 Pro | DeepSeek | 1M | $0.3 | CN · cn-beijing | In region |
| Kimi K3 | Moonshot AI (Kimi) | 1.05M | $3.00 | cn-beijing · cn-hongkong | In region |
Who this is for
Other solutions
01
Retrieval for data that must stay in the country
02
Images, audio and video under text's rules
03
Long tool loops that stay inside a jurisdiction
05
Second waveStreaming assistants with residency that holds under load
06
Second waveRanking and reranking inside the same boundary as model output
Describe a different workload
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