fix: 移除 auto mode 的 provider 和模型白名单限制

移除 firstParty provider 限制和 claude-(opus|sonnet)-4-[67] 模型白名单,
使所有模型和 provider 在 TRANSCRIPT_CLASSIFIER feature 启用时均可使用 auto mode。

Co-Authored-By: glm-5-turbo <zai-org@claude-code-best.win>
This commit is contained in:
claude-code-best
2026-05-10 17:47:38 +08:00
parent 998890b469
commit dc3d3e8839

View File

@@ -157,42 +157,8 @@ export function modelSupportsStructuredOutputs(model: string): boolean {
)
}
// @[MODEL LAUNCH]: Add the new model if it supports auto mode (specifically PI probes) — ask in #proj-claude-code-safety-research.
export function modelSupportsAutoMode(model: string): boolean {
if (feature('TRANSCRIPT_CLASSIFIER')) {
const m = getCanonicalName(model)
// External: firstParty-only at launch (PI probes not wired for
// Bedrock/Vertex/Foundry yet). Checked before allowModels so the GB
// override can't enable auto mode on unsupported providers.
if (process.env.USER_TYPE !== 'ant' && getAPIProvider() !== 'firstParty') {
return false
}
// GrowthBook override: tengu_auto_mode_config.allowModels force-enables
// auto mode for listed models, bypassing the denylist/allowlist below.
// Exact model IDs (e.g. "claude-strudel-v6-p") match only that model;
// canonical names (e.g. "claude-strudel") match the whole family.
const config = getFeatureValue_CACHED_MAY_BE_STALE<{
allowModels?: string[]
}>('tengu_auto_mode_config', {})
const rawLower = model.toLowerCase()
if (
config?.allowModels?.some(
am => am.toLowerCase() === rawLower || am.toLowerCase() === m,
)
) {
return true
}
if (process.env.USER_TYPE === 'ant') {
// Denylist: block known-unsupported claude models, allow everything else (ant-internal models etc.)
if (m.includes('claude-3-')) return false
// claude-*-4 not followed by -[6-9]: blocks bare -4, -4-YYYYMMDD, -4@, -4-0 thru -4-5
if (/claude-(opus|sonnet|haiku)-4(?!-[6-9])/.test(m)) return false
return true
}
// External allowlist (firstParty already checked above).
return /^claude-(opus|sonnet)-4-[67]/.test(m)
}
return false
export function modelSupportsAutoMode(_model: string): boolean {
return feature('TRANSCRIPT_CLASSIFIER')
}
/**