Claude Code sends the configured model name (e.g. kimi-k3[1m]) to
CLIProxyAPI. The Kimi executor forwarded this internal ID to Kimi's
https://api.kimi.com/coding endpoint. Kimi treats kimi-k3 and
kimi-k3[1m] as 256K-context models, while only bare k3 supports the
full 1M context window.
Normalize the upstream model by stripping the CLIProxyAPI kimi- prefix
and any Claude Code [1m] suffix while preserving a trailing thinking
suffix (e.g. (1024)), so that requests for kimi-k3, kimi-k3[1m],
kimi-k3(1024), and kimi-k3[1m](1024) are all sent to Kimi as k3 or
k3(1024). This applies to:
- Execute (Claude and OpenAI branches)
- ExecuteStream (Claude and OpenAI branches)
- CountTokens
Validation (using the stored Kimi token):
- GET /v1/models shows k3 with context_length 1048576.
- Direct /v1/messages calls with ~270k input tokens:
- model=k3 succeeds.
- model=k3[1m], kimi-k3, kimi-k3[1m] fail with:
'Your request exceeded model token limit: 262144 (requested: 270014)'.
Add unit tests for normalizeKimiUpstreamModel.
Closes#4418
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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