Files
CC-Switch/src/lib/api/model-test.ts
T
Jason Young 507bf038a9 feat(stream-check): refresh default models and detect model-not-found errors (#2099)
* chore(stream-check): update default health check models to latest

Replaces deprecated gpt-5.1-codex@low with gpt-5.4@low and switches
the Gemini default from gemini-3-pro-preview to gemini-3-flash-preview
to pick the lightest variant of the latest series for fast, low-cost
health checks.

https://claude.ai/code/session_01NGWLchcTP76rJHjiP5Ehte

* feat(stream-check): detect model-not-found errors with dedicated toast

Health check previously classified failures purely by HTTP status code,
which meant deprecated/invalid models showed up as a generic "Not found
(404)" error pointing users to check the Base URL — misleading when the
URL is fine and only the test model is wrong (e.g. gpt-5.1-codex after
it was retired).

Backend: add detect_error_category() that inspects 4xx response bodies
for model-not-found indicators (model_not_found, does not exist,
invalid model, not_found_error, etc.) and returns a "modelNotFound"
category. Thread the resolved test model through build_stream_check_result
so the failed result carries it in model_used. Add StreamCheckResult
.error_category field (serde-skipped when None).

Frontend: useStreamCheck branches on errorCategory === "modelNotFound"
before the HTTP-status fallback and renders a toast.error with the model
name and a description pointing to Model Test Config. Add i18n keys
(modelNotFound / modelNotFoundHint) for zh/en/ja.

Tests: unit-test detect_error_category against real OpenAI/Anthropic
error shapes, 5xx false-positive avoidance, and plain 401 auth errors.

https://claude.ai/code/session_01NGWLchcTP76rJHjiP5Ehte

* fix(stream-check): add missing error_category field in fallback

The error_category field was added to StreamCheckResult in this branch
but the fallback constructor in stream_check_all_providers was not
updated, which broke cargo build.

---------

Co-authored-by: Claude <noreply@anthropic.com>
2026-04-15 15:25:32 +08:00

68 lines
1.5 KiB
TypeScript

import { invoke } from "@tauri-apps/api/core";
import type { AppId } from "./types";
// ===== 流式健康检查类型 =====
export type HealthStatus = "operational" | "degraded" | "failed";
export interface StreamCheckConfig {
timeoutSecs: number;
maxRetries: number;
degradedThresholdMs: number;
claudeModel: string;
codexModel: string;
geminiModel: string;
testPrompt: string;
}
export interface StreamCheckResult {
status: HealthStatus;
success: boolean;
message: string;
responseTimeMs?: number;
httpStatus?: number;
modelUsed: string;
testedAt: number;
retryCount: number;
/** 细粒度错误分类,如 "modelNotFound" */
errorCategory?: string;
}
// ===== 流式健康检查 API =====
/**
* 流式健康检查(单个供应商)
*/
export async function streamCheckProvider(
appType: AppId,
providerId: string,
): Promise<StreamCheckResult> {
return invoke("stream_check_provider", { appType, providerId });
}
/**
* 批量流式健康检查
*/
export async function streamCheckAllProviders(
appType: AppId,
proxyTargetsOnly: boolean = false,
): Promise<Array<[string, StreamCheckResult]>> {
return invoke("stream_check_all_providers", { appType, proxyTargetsOnly });
}
/**
* 获取流式检查配置
*/
export async function getStreamCheckConfig(): Promise<StreamCheckConfig> {
return invoke("get_stream_check_config");
}
/**
* 保存流式检查配置
*/
export async function saveStreamCheckConfig(
config: StreamCheckConfig,
): Promise<void> {
return invoke("save_stream_check_config", { config });
}