feat: ComfyUI video assistant SaaS plan + shared types cleanup
- Add plan/2026-05-18-comfyui-video-assistant-saas.md (gpt-5.5 generated) - Add src/server/ and src/shared/ type definitions - Update comfyui routes and api_key auth - Remove old metapi docs, deploy/k3s, and deprecated configs
This commit is contained in:
boos
+19
-2
@@ -21,6 +21,7 @@ pub enum DownstreamAuthResult {
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pub async fn authorize_downstream_token(
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token: &str,
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pool: &SqlitePool,
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global_proxy_token: Option<&str>,
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) -> Result<DownstreamAuthResult, String> {
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// Try managed keys first
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if token.starts_with("sk-") {
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@@ -36,11 +37,27 @@ pub async fn authorize_downstream_token(
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return Ok(DownstreamAuthResult::Managed { key: k });
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}
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// Key not found in table
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if global_proxy_token
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.map(|global| !global.is_empty() && token == global)
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.unwrap_or(false)
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{
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return Ok(DownstreamAuthResult::Global {
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token: token.to_string(),
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});
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}
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return Err("Invalid API key".to_string());
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}
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// Not an sk- key, can't be a downstream key
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if global_proxy_token
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.map(|global| !global.is_empty() && token == global)
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.unwrap_or(false)
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{
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return Ok(DownstreamAuthResult::Global {
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token: token.to_string(),
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});
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}
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Err("Invalid API key format".to_string())
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}
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@@ -83,6 +83,8 @@ pub fn routes() -> Router<AppState> {
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.route("/api/comfyui/queue", get(proxy_get_queue))
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.route("/api/comfyui/view", get(proxy_get_view))
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// Static proxy (public — assets/JS/CSS)
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.route("/api/comfyui/proxy", get(proxy_static_root))
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.route("/api/comfyui/proxy/", get(proxy_static_root))
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.route("/api/comfyui/proxy/{*path}", get(proxy_static))
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// HTML page (public)
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.route("/comfyui", get(comfyui_page))
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@@ -146,6 +148,11 @@ async fn proxy_get_view(
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// ── Static proxy (public — assets/JS/CSS for iframe) ─────────────────
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/// GET /api/comfyui/proxy (root) — redirect to proxied root
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async fn proxy_static_root() -> AppResult<Response> {
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proxy_static(Path("/".to_string())).await
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}
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/// GET /api/comfyui/proxy/{path} — proxy everything (HTML, assets)
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async fn proxy_static(Path(path): Path<String>) -> AppResult<Response> {
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info!("GET /api/comfyui/proxy/{}", path);
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@@ -0,0 +1,22 @@
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export function parseBatchApiKeys(input) {
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if (Array.isArray(input)) {
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return Array.from(new Set(input
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.map((item) => String(item || '').trim())
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.filter((item) => item.length > 0)));
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}
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const raw = String(input || '').trim();
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if (!raw)
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return [];
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return Array.from(new Set(raw
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.split(/[\r\n,，;；\s]+/)
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.map((item) => item.trim())
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.filter((item) => item.length > 0)));
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}
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export function buildBatchApiKeyConnectionName(baseName, index, total) {
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const normalized = String(baseName || '').trim();
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if (!normalized)
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return '';
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if (total <= 1)
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return normalized;
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return `${normalized} #${index + 1}`;
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}
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@@ -0,0 +1,26 @@
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export function parseBatchApiKeys(input: unknown): string[] {
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if (Array.isArray(input)) {
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return Array.from(new Set(
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input
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.map((item) => String(item || '').trim())
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.filter((item) => item.length > 0),
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));
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}
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const raw = String(input || '').trim();
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if (!raw) return [];
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return Array.from(new Set(
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raw
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.split(/[\r\n,，;；\s]+/)
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.map((item) => item.trim())
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.filter((item) => item.length > 0),
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));
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}
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export function buildBatchApiKeyConnectionName(baseName: string | null | undefined, index: number, total: number): string {
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const normalized = String(baseName || '').trim();
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if (!normalized) return '';
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if (total <= 1) return normalized;
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return `${normalized} #${index + 1}`;
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}
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@@ -0,0 +1,779 @@
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const BRAND_DEFINITIONS = [
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{
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name: 'OpenAI',
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icon: 'openai',
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color: 'linear-gradient(135deg, #10a37f, #1a7f5a)',
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rules: [
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{ keyword: 'gpt', mode: 'startsWith' },
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{ keyword: 'chatgpt', mode: 'startsWith' },
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{ keyword: 'dall-e', mode: 'startsWith' },
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{ keyword: 'whisper', mode: 'startsWith' },
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{ keyword: 'text-embedding', mode: 'startsWith' },
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{ keyword: 'text-moderation', mode: 'startsWith' },
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{ keyword: 'davinci', mode: 'startsWith' },
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{ keyword: 'babbage', mode: 'startsWith' },
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{ keyword: 'codex-mini', mode: 'startsWith' },
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{ keyword: 'o1', mode: 'startsWith' },
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{ keyword: 'o3', mode: 'startsWith' },
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{ keyword: 'o4', mode: 'startsWith' },
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{ keyword: 'tts', mode: 'startsWith' },
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],
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},
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{
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name: 'Anthropic',
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icon: 'claude-color',
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color: 'linear-gradient(135deg, #d4a574, #c4956a)',
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rules: [
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{ keyword: 'claude', mode: 'includes' },
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],
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},
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{
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name: 'Google',
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icon: 'gemini-color',
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color: 'linear-gradient(135deg, #4285f4, #34a853)',
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rules: [
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{ keyword: 'gemini', mode: 'includes' },
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{ keyword: 'gemma', mode: 'includes' },
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{ keyword: 'google/', mode: 'includes' },
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{ keyword: 'palm', mode: 'includes' },
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{ keyword: 'paligemma', mode: 'includes' },
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{ keyword: 'shieldgemma', mode: 'includes' },
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{ keyword: 'recurrentgemma', mode: 'includes' },
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{ keyword: 'deplot', mode: 'includes' },
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{ keyword: 'codegemma', mode: 'includes' },
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{ keyword: 'imagen', mode: 'includes' },
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{ keyword: 'learnlm', mode: 'includes' },
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{ keyword: 'aqa', mode: 'includes' },
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{ keyword: 'veo', mode: 'startsWith' },
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{ keyword: 'google/', mode: 'startsWith' },
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],
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},
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{
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name: 'DeepSeek',
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icon: 'deepseek-color',
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color: 'linear-gradient(135deg, #4d6bfe, #44a3ec)',
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rules: [
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{ keyword: 'deepseek', mode: 'includes' },
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{ keyword: 'ds-chat', mode: 'segment' },
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],
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},
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{
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name: '通义千问',
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icon: 'qwen-color',
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color: 'linear-gradient(135deg, #615cf7, #9b8afb)',
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rules: [
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{ keyword: 'qwen', mode: 'includes' },
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{ keyword: 'qwq', mode: 'includes' },
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{ keyword: 'tongyi', mode: 'includes' },
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],
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},
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{
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name: '智谱 AI',
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icon: 'zhipu-color',
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color: 'linear-gradient(135deg, #3b6cf5, #6366f1)',
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rules: [
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{ keyword: 'glm', mode: 'includes' },
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{ keyword: 'chatglm', mode: 'includes' },
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{ keyword: 'codegeex', mode: 'includes' },
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{ keyword: 'cogview', mode: 'includes' },
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{ keyword: 'cogvideo', mode: 'includes' },
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],
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},
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{
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name: 'Meta',
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icon: 'meta-color',
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color: 'linear-gradient(135deg, #0668E1, #1877f2)',
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rules: [
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{ keyword: 'llama', mode: 'includes' },
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{ keyword: 'code-llama', mode: 'includes' },
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{ keyword: 'codellama', mode: 'includes' },
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],
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},
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{
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name: 'Mistral',
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icon: 'mistral-color',
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color: 'linear-gradient(135deg, #f7d046, #f2a900)',
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rules: [
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{ keyword: 'mistral', mode: 'includes' },
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{ keyword: 'mixtral', mode: 'includes' },
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{ keyword: 'codestral', mode: 'includes' },
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{ keyword: 'pixtral', mode: 'includes' },
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{ keyword: 'ministral', mode: 'includes' },
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{ keyword: 'voxtral', mode: 'includes' },
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{ keyword: 'magistral', mode: 'includes' },
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],
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},
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{
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name: 'Moonshot',
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icon: 'moonshot',
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color: 'linear-gradient(135deg, #000000, #333333)',
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rules: [
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{ keyword: 'moonshot', mode: 'includes' },
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{ keyword: 'kimi', mode: 'includes' },
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],
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},
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{
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name: '零一万物',
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icon: 'yi-color',
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color: 'linear-gradient(135deg, #1d4ed8, #3b82f6)',
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rules: [
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{ keyword: 'yi-', mode: 'startsWith' },
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{ keyword: 'yi', mode: 'boundary' },
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],
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},
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{
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name: '文心一言',
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icon: 'wenxin-color',
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color: 'linear-gradient(135deg, #2932e1, #4468f2)',
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rules: [
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{ keyword: 'ernie', mode: 'includes' },
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{ keyword: 'eb-', mode: 'includes' },
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],
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},
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{
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name: '讯飞星火',
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icon: 'spark-color',
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color: 'linear-gradient(135deg, #0070f3, #00d4ff)',
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rules: [
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{ keyword: 'spark', mode: 'includes' },
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{ keyword: 'generalv', mode: 'includes' },
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],
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},
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{
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name: '腾讯混元',
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icon: 'hunyuan-color',
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color: 'linear-gradient(135deg, #00b7ff, #0052d9)',
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rules: [
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{ keyword: 'hunyuan', mode: 'includes' },
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{ keyword: 'tencent-hunyuan', mode: 'includes' },
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],
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},
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{
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name: '豆包',
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icon: 'doubao-color',
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color: 'linear-gradient(135deg, #3b5bdb, #7048e8)',
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rules: [
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{ keyword: 'doubao', mode: 'includes' },
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],
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},
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{
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name: 'MiniMax',
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icon: 'minimax-color',
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color: 'linear-gradient(135deg, #6366f1, #818cf8)',
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rules: [
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{ keyword: 'minimax', mode: 'includes' },
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{ keyword: 'abab', mode: 'includes' },
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{ keyword: 'mini2.1', mode: 'segment' },
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],
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},
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{
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name: 'Cohere',
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icon: 'cohere-color',
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color: 'linear-gradient(135deg, #39594d, #5ba77f)',
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rules: [
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{ keyword: 'command', mode: 'includes' },
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{ keyword: 'c4ai-', mode: 'includes' },
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{ keyword: 'aya', mode: 'includes' },
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{ keyword: 'embed-', mode: 'startsWith' },
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],
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},
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{
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name: 'Microsoft',
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icon: 'microsoft-color',
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color: 'linear-gradient(135deg, #00bcf2, #0078d4)',
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rules: [
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{ keyword: 'microsoft/', mode: 'includes' },
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{ keyword: 'phi-', mode: 'includes' },
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{ keyword: 'kosmos', mode: 'includes' },
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{ keyword: 'phi4', mode: 'segment' },
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],
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},
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{
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name: 'xAI',
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icon: 'xai',
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color: 'linear-gradient(135deg, #111, #444)',
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rules: [
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{ keyword: 'grok', mode: 'includes' },
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],
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},
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{
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name: '阶跃星辰',
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icon: 'stepfun-color',
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color: 'linear-gradient(135deg, #0066ff, #3399ff)',
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rules: [
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{ keyword: 'stepfun', mode: 'includes' },
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{ keyword: 'step-', mode: 'startsWith' },
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{ keyword: 'step3', mode: 'startsWith' },
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],
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},
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{
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name: '百川智能',
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icon: 'baichuan-color',
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color: 'linear-gradient(135deg, #0f766e, #14b8a6)',
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rules: [
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{ keyword: 'baichuan', mode: 'includes' },
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],
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},
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{
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name: 'AI21 Labs',
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icon: 'ai21-brand-color',
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color: 'linear-gradient(135deg, #7c3aed, #a855f7)',
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rules: [
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{ keyword: 'ai21', mode: 'includes' },
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{ keyword: 'jamba', mode: 'startsWith' },
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{ keyword: 'jamba', mode: 'includes' },
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],
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},
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{
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name: 'AI2',
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icon: 'ai2-color',
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color: 'linear-gradient(135deg, #0f766e, #14b8a6)',
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rules: [
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{ keyword: 'allenai', mode: 'includes' },
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{ keyword: 'olmo', mode: 'includes' },
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],
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},
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{
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name: 'Amazon Nova',
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icon: 'nova',
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color: 'linear-gradient(135deg, #f59e0b, #f97316)',
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rules: [
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{ keyword: 'amazon/nova', mode: 'startsWith' },
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{ keyword: 'amazon.nova', mode: 'includes' },
|
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{ keyword: 'us.amazon.nova', mode: 'includes' },
|
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{ keyword: 'nova-', mode: 'startsWith' },
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{ keyword: 'nova-lite', mode: 'startsWith' },
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{ keyword: 'nova-pro', mode: 'startsWith' },
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{ keyword: 'nova-micro', mode: 'startsWith' },
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{ keyword: 'nova-canvas', mode: 'startsWith' },
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{ keyword: 'nova-reel', mode: 'startsWith' },
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],
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},
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{
|
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name: 'Stability',
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icon: 'stability-color',
|
||||
color: 'linear-gradient(135deg, #8b5cf6, #a855f7)',
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||||
rules: [
|
||||
{ keyword: 'flux', mode: 'includes' },
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||||
{ keyword: 'stablediffusion', mode: 'includes' },
|
||||
{ keyword: 'stable-diffusion', mode: 'includes' },
|
||||
{ keyword: 'sdxl', mode: 'includes' },
|
||||
{ keyword: 'sd3', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'NVIDIA',
|
||||
icon: 'nvidia-color',
|
||||
color: 'linear-gradient(135deg, #76b900, #4a8c0b)',
|
||||
rules: [
|
||||
{ keyword: 'nvidia/', mode: 'includes' },
|
||||
{ keyword: 'nvclip', mode: 'includes' },
|
||||
{ keyword: 'nemotron', mode: 'includes' },
|
||||
{ keyword: 'nemoretriever', mode: 'includes' },
|
||||
{ keyword: 'neva', mode: 'includes' },
|
||||
{ keyword: 'riva-translate', mode: 'includes' },
|
||||
{ keyword: 'cosmos', mode: 'includes' },
|
||||
{ keyword: 'nv-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'IBM',
|
||||
icon: 'ibm',
|
||||
color: 'linear-gradient(135deg, #0f62fe, #4589ff)',
|
||||
rules: [
|
||||
{ keyword: 'ibm/', mode: 'includes' },
|
||||
{ keyword: 'granite', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'BAAI',
|
||||
icon: 'baai',
|
||||
color: 'linear-gradient(135deg, #111827, #374151)',
|
||||
rules: [
|
||||
{ keyword: 'baai/', mode: 'includes' },
|
||||
{ keyword: 'bge-', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'ByteDance',
|
||||
icon: 'bytedance-color',
|
||||
color: 'linear-gradient(135deg, #325ab4, #0f66ff)',
|
||||
rules: [
|
||||
{ keyword: 'bytedance', mode: 'includes' },
|
||||
{ keyword: 'seed-oss', mode: 'includes' },
|
||||
{ keyword: 'kolors', mode: 'includes' },
|
||||
{ keyword: 'kwai', mode: 'includes' },
|
||||
{ keyword: 'kwaipilot', mode: 'includes' },
|
||||
{ keyword: 'wan-', mode: 'startsWith' },
|
||||
{ keyword: 'kat-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'InternLM',
|
||||
icon: 'internlm-color',
|
||||
color: 'linear-gradient(135deg, #1b3882, #4063c5)',
|
||||
rules: [
|
||||
{ keyword: 'internlm', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Midjourney',
|
||||
icon: 'midjourney',
|
||||
color: 'linear-gradient(135deg, #4c6ef5, #748ffc)',
|
||||
rules: [
|
||||
{ keyword: 'midjourney', mode: 'includes' },
|
||||
{ keyword: 'mj_', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'DeepL',
|
||||
icon: 'deepl-color',
|
||||
color: 'linear-gradient(135deg, #0f2b46, #21476f)',
|
||||
rules: [
|
||||
{ keyword: 'deepl-', mode: 'startsWith' },
|
||||
{ keyword: 'deepl/', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Jina AI',
|
||||
icon: 'jina',
|
||||
color: 'linear-gradient(135deg, #111827, #4b5563)',
|
||||
rules: [
|
||||
{ keyword: 'jina', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Relace',
|
||||
icon: 'relace',
|
||||
color: 'linear-gradient(135deg, #7c3aed, #6366f1)',
|
||||
rules: [
|
||||
{ keyword: 'relace', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Arcee',
|
||||
icon: 'arcee-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #60a5fa)',
|
||||
rules: [
|
||||
{ keyword: 'arcee-ai', mode: 'includes' },
|
||||
{ keyword: 'arcee', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'AionLabs',
|
||||
icon: 'aionlabs-color',
|
||||
color: 'linear-gradient(135deg, #0f766e, #14b8a6)',
|
||||
rules: [
|
||||
{ keyword: 'aion-labs', mode: 'includes' },
|
||||
{ keyword: 'aionlabs', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'DeepCogito',
|
||||
icon: 'deepcogito-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #7c3aed)',
|
||||
rules: [
|
||||
{ keyword: 'deepcogito', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Essential AI',
|
||||
icon: 'essentialai-color',
|
||||
color: 'linear-gradient(135deg, #0f172a, #334155)',
|
||||
rules: [
|
||||
{ keyword: 'essentialai', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Inception',
|
||||
icon: 'inception',
|
||||
color: 'linear-gradient(135deg, #7c3aed, #ec4899)',
|
||||
rules: [
|
||||
{ keyword: 'inception', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Inflection',
|
||||
icon: 'inflection',
|
||||
color: 'linear-gradient(135deg, #1d4ed8, #2563eb)',
|
||||
rules: [
|
||||
{ keyword: 'inflection', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Liquid AI',
|
||||
icon: 'liquid',
|
||||
color: 'linear-gradient(135deg, #0f172a, #475569)',
|
||||
rules: [
|
||||
{ keyword: 'liquid', mode: 'includes' },
|
||||
{ keyword: 'lfm-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'LongCat',
|
||||
icon: 'longcat-color',
|
||||
color: 'linear-gradient(135deg, #f97316, #fb7185)',
|
||||
rules: [
|
||||
{ keyword: 'longcat', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Morph',
|
||||
icon: 'morph-color',
|
||||
color: 'linear-gradient(135deg, #4f46e5, #8b5cf6)',
|
||||
rules: [
|
||||
{ keyword: 'morph/', mode: 'includes' },
|
||||
{ keyword: 'morph-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Nous Research',
|
||||
icon: 'nousresearch',
|
||||
color: 'linear-gradient(135deg, #111827, #4b5563)',
|
||||
rules: [
|
||||
{ keyword: 'nousresearch', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Upstage',
|
||||
icon: 'upstage-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #14b8a6)',
|
||||
rules: [
|
||||
{ keyword: 'upstage', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Xiaomi MiMo',
|
||||
icon: 'xiaomimimo',
|
||||
color: 'linear-gradient(135deg, #f97316, #fb923c)',
|
||||
rules: [
|
||||
{ keyword: 'xiaomi/mimo', mode: 'includes' },
|
||||
{ keyword: 'xiaomimimo', mode: 'includes' },
|
||||
{ keyword: 'mimo-v', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Z.ai',
|
||||
icon: 'zai',
|
||||
color: 'linear-gradient(135deg, #0f172a, #2563eb)',
|
||||
rules: [
|
||||
{ keyword: '2zai', mode: 'startsWith' },
|
||||
{ keyword: 'z-ai', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'SenseNova',
|
||||
icon: 'sensenova-brand-color',
|
||||
color: 'linear-gradient(135deg, #f59e0b, #f97316)',
|
||||
rules: [
|
||||
{ keyword: 'sensenova', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Perplexity',
|
||||
icon: 'perplexity-color',
|
||||
color: 'linear-gradient(135deg, #0f766e, #14b8a6)',
|
||||
rules: [
|
||||
{ keyword: 'perplexity', mode: 'includes' },
|
||||
{ keyword: 'pplx-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'OpenRouter',
|
||||
icon: 'openrouter',
|
||||
color: 'linear-gradient(135deg, #7c3aed, #2563eb)',
|
||||
rules: [
|
||||
{ keyword: 'openrouter', mode: 'includes' },
|
||||
{ keyword: 'openrouter-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Groq',
|
||||
icon: 'groq',
|
||||
color: 'linear-gradient(135deg, #111827, #374151)',
|
||||
rules: [
|
||||
{ keyword: 'groq', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Fireworks',
|
||||
icon: 'fireworks-color',
|
||||
color: 'linear-gradient(135deg, #fb7185, #f97316)',
|
||||
rules: [
|
||||
{ keyword: 'fireworks-ai', mode: 'includes' },
|
||||
{ keyword: 'fireworks', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'DeepInfra',
|
||||
icon: 'deepinfra-color',
|
||||
color: 'linear-gradient(135deg, #4f46e5, #7c3aed)',
|
||||
rules: [
|
||||
{ keyword: 'deepinfra', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Together AI',
|
||||
icon: 'together-brand-color',
|
||||
color: 'linear-gradient(135deg, #7c3aed, #ec4899)',
|
||||
rules: [
|
||||
{ keyword: 'together.ai', mode: 'includes' },
|
||||
{ keyword: 'together', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Replicate',
|
||||
icon: 'replicate-brand',
|
||||
color: 'linear-gradient(135deg, #111827, #6366f1)',
|
||||
rules: [
|
||||
{ keyword: 'replicate', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'SambaNova',
|
||||
icon: 'sambanova-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #06b6d4)',
|
||||
rules: [
|
||||
{ keyword: 'sambanova', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Cerebras',
|
||||
icon: 'cerebras-brand-color',
|
||||
color: 'linear-gradient(135deg, #0f766e, #65a30d)',
|
||||
rules: [
|
||||
{ keyword: 'cerebras', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Ollama',
|
||||
icon: 'ollama',
|
||||
color: 'linear-gradient(135deg, #1f2937, #4b5563)',
|
||||
rules: [
|
||||
{ keyword: 'ollama', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'ModelScope',
|
||||
icon: 'modelscope-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #60a5fa)',
|
||||
rules: [
|
||||
{ keyword: 'modelscope', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'SiliconCloud',
|
||||
icon: 'siliconcloud-color',
|
||||
color: 'linear-gradient(135deg, #0ea5e9, #22d3ee)',
|
||||
rules: [
|
||||
{ keyword: 'siliconcloud', mode: 'includes' },
|
||||
{ keyword: 'siliconflow', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Azure AI',
|
||||
icon: 'azureai-color',
|
||||
color: 'linear-gradient(135deg, #0284c7, #2563eb)',
|
||||
rules: [
|
||||
{ keyword: 'azureai', mode: 'includes' },
|
||||
{ keyword: 'azure-openai', mode: 'includes' },
|
||||
{ keyword: 'azure/openai', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'AWS Bedrock',
|
||||
icon: 'bedrock-color',
|
||||
color: 'linear-gradient(135deg, #f59e0b, #f97316)',
|
||||
rules: [
|
||||
{ keyword: 'bedrock', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Vertex AI',
|
||||
icon: 'vertexai-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #6366f1)',
|
||||
rules: [
|
||||
{ keyword: 'vertexai', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Google Cloud',
|
||||
icon: 'googlecloud-brand-color',
|
||||
color: 'linear-gradient(135deg, #4285f4, #34a853)',
|
||||
rules: [
|
||||
{ keyword: 'googlecloud', mode: 'includes' },
|
||||
{ keyword: 'google-cloud', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '百度智能云',
|
||||
icon: 'baiducloud-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #38bdf8)',
|
||||
rules: [
|
||||
{ keyword: 'baiducloud', mode: 'includes' },
|
||||
{ keyword: 'qianfan', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '百炼',
|
||||
icon: 'bailian-color',
|
||||
color: 'linear-gradient(135deg, #7c3aed, #2563eb)',
|
||||
rules: [
|
||||
{ keyword: 'bailian', mode: 'includes' },
|
||||
{ keyword: 'dashscope', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '阿里云',
|
||||
icon: 'alibabacloud-color',
|
||||
color: 'linear-gradient(135deg, #f97316, #fb923c)',
|
||||
rules: [
|
||||
{ keyword: 'alibabacloud', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '火山引擎',
|
||||
icon: 'volcengine-color',
|
||||
color: 'linear-gradient(135deg, #325ab4, #0f66ff)',
|
||||
rules: [
|
||||
{ keyword: 'volcengine', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '七牛云',
|
||||
icon: 'qiniu-color',
|
||||
color: 'linear-gradient(135deg, #06b6d4, #0891b2)',
|
||||
rules: [
|
||||
{ keyword: 'qiniu', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
];
|
||||
function normalizeInput(value) {
|
||||
return String(value || '').trim().toLowerCase();
|
||||
}
|
||||
export function stripCommonWrappers(value) {
|
||||
return value
|
||||
.replace(/^(?:\[[^\]]+\]|【[^】]+】)\s*/g, '')
|
||||
.replace(/^re:\s*/g, '')
|
||||
.replace(/^\^+/, '')
|
||||
.replace(/\$+$/, '')
|
||||
.trim();
|
||||
}
|
||||
export function collectBrandCandidates(modelName) {
|
||||
const queue = [];
|
||||
const seen = new Set();
|
||||
const push = (value) => {
|
||||
const normalized = normalizeInput(value);
|
||||
if (!normalized || seen.has(normalized))
|
||||
return;
|
||||
seen.add(normalized);
|
||||
queue.push(normalized);
|
||||
};
|
||||
push(modelName);
|
||||
for (let index = 0; index < queue.length; index += 1) {
|
||||
const candidate = queue[index];
|
||||
const cleaned = stripCommonWrappers(candidate);
|
||||
push(cleaned);
|
||||
if (cleaned.includes('/')) {
|
||||
for (const part of cleaned.split('/'))
|
||||
push(part);
|
||||
}
|
||||
if (cleaned.includes(':')) {
|
||||
for (const part of cleaned.split(':'))
|
||||
push(part);
|
||||
}
|
||||
if (cleaned.includes(',')) {
|
||||
for (const part of cleaned.split(','))
|
||||
push(part);
|
||||
}
|
||||
}
|
||||
return queue;
|
||||
}
|
||||
function buildMatchContext(modelName) {
|
||||
const candidates = collectBrandCandidates(modelName);
|
||||
const raw = candidates[0] || normalizeInput(modelName);
|
||||
const cleaned = stripCommonWrappers(raw);
|
||||
const segments = Array.from(new Set(candidates
|
||||
.flatMap((candidate) => candidate.split(/[/:,\s]+/g))
|
||||
.map((segment) => segment.trim())
|
||||
.filter(Boolean)));
|
||||
return {
|
||||
raw,
|
||||
cleaned,
|
||||
segments,
|
||||
candidates,
|
||||
};
|
||||
}
|
||||
function matchesRule(context, rule) {
|
||||
switch (rule.mode) {
|
||||
case 'includes':
|
||||
return context.raw.includes(rule.keyword)
|
||||
|| context.cleaned.includes(rule.keyword)
|
||||
|| context.candidates.some((candidate) => candidate.includes(rule.keyword));
|
||||
case 'startsWith':
|
||||
return context.raw.startsWith(rule.keyword)
|
||||
|| context.cleaned.startsWith(rule.keyword)
|
||||
|| context.segments.some((segment) => segment.startsWith(rule.keyword))
|
||||
|| context.candidates.some((candidate) => candidate.startsWith(rule.keyword));
|
||||
case 'segment':
|
||||
return context.segments.includes(rule.keyword);
|
||||
case 'boundary': {
|
||||
const pattern = new RegExp(`(^|[/:_\\-\\s])${escapeRegExp(rule.keyword)}(?=$|[/:_\\-\\s])`);
|
||||
return pattern.test(context.raw)
|
||||
|| pattern.test(context.cleaned)
|
||||
|| context.candidates.some((candidate) => pattern.test(candidate));
|
||||
}
|
||||
default:
|
||||
return false;
|
||||
}
|
||||
}
|
||||
function escapeRegExp(value) {
|
||||
return value.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
|
||||
}
|
||||
const BRAND_FALLBACK_BOUNDARY_RULES = BRAND_DEFINITIONS.map((brand) => ({
|
||||
brand,
|
||||
boundaryRegex: new RegExp(`(^|[^a-z0-9])${escapeRegExp(brand.name.toLowerCase())}(?=$|[^a-z0-9])`),
|
||||
}));
|
||||
export function getAllBrands() {
|
||||
return BRAND_DEFINITIONS.map(({ name, icon, color }) => ({ name, icon, color }));
|
||||
}
|
||||
export function getAllBrandNames() {
|
||||
return BRAND_DEFINITIONS.map((brand) => brand.name);
|
||||
}
|
||||
function toBrandInfo(brand) {
|
||||
return {
|
||||
name: brand.name,
|
||||
icon: brand.icon,
|
||||
color: brand.color,
|
||||
};
|
||||
}
|
||||
export function getMatchingBrands(modelName) {
|
||||
const context = buildMatchContext(modelName);
|
||||
const matches = [];
|
||||
const seen = new Set();
|
||||
const add = (brand) => {
|
||||
if (seen.has(brand.name))
|
||||
return;
|
||||
seen.add(brand.name);
|
||||
matches.push(toBrandInfo(brand));
|
||||
};
|
||||
for (const definition of BRAND_DEFINITIONS) {
|
||||
if (definition.rules.some((rule) => matchesRule(context, rule))) {
|
||||
add(definition);
|
||||
}
|
||||
}
|
||||
for (const candidate of context.candidates) {
|
||||
for (const rule of BRAND_FALLBACK_BOUNDARY_RULES) {
|
||||
if (rule.boundaryRegex.test(candidate)) {
|
||||
add(rule.brand);
|
||||
}
|
||||
}
|
||||
}
|
||||
return matches;
|
||||
}
|
||||
export function getMatchingBrandNames(modelName) {
|
||||
return getMatchingBrands(modelName).map((brand) => brand.name);
|
||||
}
|
||||
export function getBrand(modelName) {
|
||||
return getMatchingBrands(modelName)[0] || null;
|
||||
}
|
||||
@@ -0,0 +1,822 @@
|
||||
export interface BrandMatchContext {
|
||||
raw: string;
|
||||
cleaned: string;
|
||||
segments: string[];
|
||||
candidates: string[];
|
||||
}
|
||||
|
||||
export interface BrandInfo {
|
||||
name: string;
|
||||
icon: string;
|
||||
color: string;
|
||||
}
|
||||
|
||||
export type BrandMatchMode = 'includes' | 'startsWith' | 'segment' | 'boundary';
|
||||
|
||||
type BrandRule = {
|
||||
keyword: string;
|
||||
mode: BrandMatchMode;
|
||||
};
|
||||
|
||||
type BrandDefinition = BrandInfo & {
|
||||
rules: BrandRule[];
|
||||
};
|
||||
|
||||
const BRAND_DEFINITIONS: BrandDefinition[] = [
|
||||
{
|
||||
name: 'OpenAI',
|
||||
icon: 'openai',
|
||||
color: 'linear-gradient(135deg, #10a37f, #1a7f5a)',
|
||||
rules: [
|
||||
{ keyword: 'gpt', mode: 'startsWith' },
|
||||
{ keyword: 'chatgpt', mode: 'startsWith' },
|
||||
{ keyword: 'dall-e', mode: 'startsWith' },
|
||||
{ keyword: 'whisper', mode: 'startsWith' },
|
||||
{ keyword: 'text-embedding', mode: 'startsWith' },
|
||||
{ keyword: 'text-moderation', mode: 'startsWith' },
|
||||
{ keyword: 'davinci', mode: 'startsWith' },
|
||||
{ keyword: 'babbage', mode: 'startsWith' },
|
||||
{ keyword: 'codex-mini', mode: 'startsWith' },
|
||||
{ keyword: 'o1', mode: 'startsWith' },
|
||||
{ keyword: 'o3', mode: 'startsWith' },
|
||||
{ keyword: 'o4', mode: 'startsWith' },
|
||||
{ keyword: 'tts', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Anthropic',
|
||||
icon: 'claude-color',
|
||||
color: 'linear-gradient(135deg, #d4a574, #c4956a)',
|
||||
rules: [
|
||||
{ keyword: 'claude', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Google',
|
||||
icon: 'gemini-color',
|
||||
color: 'linear-gradient(135deg, #4285f4, #34a853)',
|
||||
rules: [
|
||||
{ keyword: 'gemini', mode: 'includes' },
|
||||
{ keyword: 'gemma', mode: 'includes' },
|
||||
{ keyword: 'google/', mode: 'includes' },
|
||||
{ keyword: 'palm', mode: 'includes' },
|
||||
{ keyword: 'paligemma', mode: 'includes' },
|
||||
{ keyword: 'shieldgemma', mode: 'includes' },
|
||||
{ keyword: 'recurrentgemma', mode: 'includes' },
|
||||
{ keyword: 'deplot', mode: 'includes' },
|
||||
{ keyword: 'codegemma', mode: 'includes' },
|
||||
{ keyword: 'imagen', mode: 'includes' },
|
||||
{ keyword: 'learnlm', mode: 'includes' },
|
||||
{ keyword: 'aqa', mode: 'includes' },
|
||||
{ keyword: 'veo', mode: 'startsWith' },
|
||||
{ keyword: 'google/', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'DeepSeek',
|
||||
icon: 'deepseek-color',
|
||||
color: 'linear-gradient(135deg, #4d6bfe, #44a3ec)',
|
||||
rules: [
|
||||
{ keyword: 'deepseek', mode: 'includes' },
|
||||
{ keyword: 'ds-chat', mode: 'segment' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '通义千问',
|
||||
icon: 'qwen-color',
|
||||
color: 'linear-gradient(135deg, #615cf7, #9b8afb)',
|
||||
rules: [
|
||||
{ keyword: 'qwen', mode: 'includes' },
|
||||
{ keyword: 'qwq', mode: 'includes' },
|
||||
{ keyword: 'tongyi', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '智谱 AI',
|
||||
icon: 'zhipu-color',
|
||||
color: 'linear-gradient(135deg, #3b6cf5, #6366f1)',
|
||||
rules: [
|
||||
{ keyword: 'glm', mode: 'includes' },
|
||||
{ keyword: 'chatglm', mode: 'includes' },
|
||||
{ keyword: 'codegeex', mode: 'includes' },
|
||||
{ keyword: 'cogview', mode: 'includes' },
|
||||
{ keyword: 'cogvideo', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Meta',
|
||||
icon: 'meta-color',
|
||||
color: 'linear-gradient(135deg, #0668E1, #1877f2)',
|
||||
rules: [
|
||||
{ keyword: 'llama', mode: 'includes' },
|
||||
{ keyword: 'code-llama', mode: 'includes' },
|
||||
{ keyword: 'codellama', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Mistral',
|
||||
icon: 'mistral-color',
|
||||
color: 'linear-gradient(135deg, #f7d046, #f2a900)',
|
||||
rules: [
|
||||
{ keyword: 'mistral', mode: 'includes' },
|
||||
{ keyword: 'mixtral', mode: 'includes' },
|
||||
{ keyword: 'codestral', mode: 'includes' },
|
||||
{ keyword: 'pixtral', mode: 'includes' },
|
||||
{ keyword: 'ministral', mode: 'includes' },
|
||||
{ keyword: 'voxtral', mode: 'includes' },
|
||||
{ keyword: 'magistral', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Moonshot',
|
||||
icon: 'moonshot',
|
||||
color: 'linear-gradient(135deg, #000000, #333333)',
|
||||
rules: [
|
||||
{ keyword: 'moonshot', mode: 'includes' },
|
||||
{ keyword: 'kimi', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '零一万物',
|
||||
icon: 'yi-color',
|
||||
color: 'linear-gradient(135deg, #1d4ed8, #3b82f6)',
|
||||
rules: [
|
||||
{ keyword: 'yi-', mode: 'startsWith' },
|
||||
{ keyword: 'yi', mode: 'boundary' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '文心一言',
|
||||
icon: 'wenxin-color',
|
||||
color: 'linear-gradient(135deg, #2932e1, #4468f2)',
|
||||
rules: [
|
||||
{ keyword: 'ernie', mode: 'includes' },
|
||||
{ keyword: 'eb-', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '讯飞星火',
|
||||
icon: 'spark-color',
|
||||
color: 'linear-gradient(135deg, #0070f3, #00d4ff)',
|
||||
rules: [
|
||||
{ keyword: 'spark', mode: 'includes' },
|
||||
{ keyword: 'generalv', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '腾讯混元',
|
||||
icon: 'hunyuan-color',
|
||||
color: 'linear-gradient(135deg, #00b7ff, #0052d9)',
|
||||
rules: [
|
||||
{ keyword: 'hunyuan', mode: 'includes' },
|
||||
{ keyword: 'tencent-hunyuan', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '豆包',
|
||||
icon: 'doubao-color',
|
||||
color: 'linear-gradient(135deg, #3b5bdb, #7048e8)',
|
||||
rules: [
|
||||
{ keyword: 'doubao', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'MiniMax',
|
||||
icon: 'minimax-color',
|
||||
color: 'linear-gradient(135deg, #6366f1, #818cf8)',
|
||||
rules: [
|
||||
{ keyword: 'minimax', mode: 'includes' },
|
||||
{ keyword: 'abab', mode: 'includes' },
|
||||
{ keyword: 'mini2.1', mode: 'segment' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Cohere',
|
||||
icon: 'cohere-color',
|
||||
color: 'linear-gradient(135deg, #39594d, #5ba77f)',
|
||||
rules: [
|
||||
{ keyword: 'command', mode: 'includes' },
|
||||
{ keyword: 'c4ai-', mode: 'includes' },
|
||||
{ keyword: 'aya', mode: 'includes' },
|
||||
{ keyword: 'embed-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Microsoft',
|
||||
icon: 'microsoft-color',
|
||||
color: 'linear-gradient(135deg, #00bcf2, #0078d4)',
|
||||
rules: [
|
||||
{ keyword: 'microsoft/', mode: 'includes' },
|
||||
{ keyword: 'phi-', mode: 'includes' },
|
||||
{ keyword: 'kosmos', mode: 'includes' },
|
||||
{ keyword: 'phi4', mode: 'segment' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'xAI',
|
||||
icon: 'xai',
|
||||
color: 'linear-gradient(135deg, #111, #444)',
|
||||
rules: [
|
||||
{ keyword: 'grok', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '阶跃星辰',
|
||||
icon: 'stepfun-color',
|
||||
color: 'linear-gradient(135deg, #0066ff, #3399ff)',
|
||||
rules: [
|
||||
{ keyword: 'stepfun', mode: 'includes' },
|
||||
{ keyword: 'step-', mode: 'startsWith' },
|
||||
{ keyword: 'step3', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '百川智能',
|
||||
icon: 'baichuan-color',
|
||||
color: 'linear-gradient(135deg, #0f766e, #14b8a6)',
|
||||
rules: [
|
||||
{ keyword: 'baichuan', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'AI21 Labs',
|
||||
icon: 'ai21-brand-color',
|
||||
color: 'linear-gradient(135deg, #7c3aed, #a855f7)',
|
||||
rules: [
|
||||
{ keyword: 'ai21', mode: 'includes' },
|
||||
{ keyword: 'jamba', mode: 'startsWith' },
|
||||
{ keyword: 'jamba', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'AI2',
|
||||
icon: 'ai2-color',
|
||||
color: 'linear-gradient(135deg, #0f766e, #14b8a6)',
|
||||
rules: [
|
||||
{ keyword: 'allenai', mode: 'includes' },
|
||||
{ keyword: 'olmo', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Amazon Nova',
|
||||
icon: 'nova',
|
||||
color: 'linear-gradient(135deg, #f59e0b, #f97316)',
|
||||
rules: [
|
||||
{ keyword: 'amazon/nova', mode: 'startsWith' },
|
||||
{ keyword: 'amazon.nova', mode: 'includes' },
|
||||
{ keyword: 'us.amazon.nova', mode: 'includes' },
|
||||
{ keyword: 'nova-', mode: 'startsWith' },
|
||||
{ keyword: 'nova-lite', mode: 'startsWith' },
|
||||
{ keyword: 'nova-pro', mode: 'startsWith' },
|
||||
{ keyword: 'nova-micro', mode: 'startsWith' },
|
||||
{ keyword: 'nova-canvas', mode: 'startsWith' },
|
||||
{ keyword: 'nova-reel', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Stability',
|
||||
icon: 'stability-color',
|
||||
color: 'linear-gradient(135deg, #8b5cf6, #a855f7)',
|
||||
rules: [
|
||||
{ keyword: 'flux', mode: 'includes' },
|
||||
{ keyword: 'stablediffusion', mode: 'includes' },
|
||||
{ keyword: 'stable-diffusion', mode: 'includes' },
|
||||
{ keyword: 'sdxl', mode: 'includes' },
|
||||
{ keyword: 'sd3', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'NVIDIA',
|
||||
icon: 'nvidia-color',
|
||||
color: 'linear-gradient(135deg, #76b900, #4a8c0b)',
|
||||
rules: [
|
||||
{ keyword: 'nvidia/', mode: 'includes' },
|
||||
{ keyword: 'nvclip', mode: 'includes' },
|
||||
{ keyword: 'nemotron', mode: 'includes' },
|
||||
{ keyword: 'nemoretriever', mode: 'includes' },
|
||||
{ keyword: 'neva', mode: 'includes' },
|
||||
{ keyword: 'riva-translate', mode: 'includes' },
|
||||
{ keyword: 'cosmos', mode: 'includes' },
|
||||
{ keyword: 'nv-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'IBM',
|
||||
icon: 'ibm',
|
||||
color: 'linear-gradient(135deg, #0f62fe, #4589ff)',
|
||||
rules: [
|
||||
{ keyword: 'ibm/', mode: 'includes' },
|
||||
{ keyword: 'granite', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'BAAI',
|
||||
icon: 'baai',
|
||||
color: 'linear-gradient(135deg, #111827, #374151)',
|
||||
rules: [
|
||||
{ keyword: 'baai/', mode: 'includes' },
|
||||
{ keyword: 'bge-', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'ByteDance',
|
||||
icon: 'bytedance-color',
|
||||
color: 'linear-gradient(135deg, #325ab4, #0f66ff)',
|
||||
rules: [
|
||||
{ keyword: 'bytedance', mode: 'includes' },
|
||||
{ keyword: 'seed-oss', mode: 'includes' },
|
||||
{ keyword: 'kolors', mode: 'includes' },
|
||||
{ keyword: 'kwai', mode: 'includes' },
|
||||
{ keyword: 'kwaipilot', mode: 'includes' },
|
||||
{ keyword: 'wan-', mode: 'startsWith' },
|
||||
{ keyword: 'kat-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'InternLM',
|
||||
icon: 'internlm-color',
|
||||
color: 'linear-gradient(135deg, #1b3882, #4063c5)',
|
||||
rules: [
|
||||
{ keyword: 'internlm', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Midjourney',
|
||||
icon: 'midjourney',
|
||||
color: 'linear-gradient(135deg, #4c6ef5, #748ffc)',
|
||||
rules: [
|
||||
{ keyword: 'midjourney', mode: 'includes' },
|
||||
{ keyword: 'mj_', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'DeepL',
|
||||
icon: 'deepl-color',
|
||||
color: 'linear-gradient(135deg, #0f2b46, #21476f)',
|
||||
rules: [
|
||||
{ keyword: 'deepl-', mode: 'startsWith' },
|
||||
{ keyword: 'deepl/', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Jina AI',
|
||||
icon: 'jina',
|
||||
color: 'linear-gradient(135deg, #111827, #4b5563)',
|
||||
rules: [
|
||||
{ keyword: 'jina', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Relace',
|
||||
icon: 'relace',
|
||||
color: 'linear-gradient(135deg, #7c3aed, #6366f1)',
|
||||
rules: [
|
||||
{ keyword: 'relace', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Arcee',
|
||||
icon: 'arcee-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #60a5fa)',
|
||||
rules: [
|
||||
{ keyword: 'arcee-ai', mode: 'includes' },
|
||||
{ keyword: 'arcee', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'AionLabs',
|
||||
icon: 'aionlabs-color',
|
||||
color: 'linear-gradient(135deg, #0f766e, #14b8a6)',
|
||||
rules: [
|
||||
{ keyword: 'aion-labs', mode: 'includes' },
|
||||
{ keyword: 'aionlabs', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'DeepCogito',
|
||||
icon: 'deepcogito-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #7c3aed)',
|
||||
rules: [
|
||||
{ keyword: 'deepcogito', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Essential AI',
|
||||
icon: 'essentialai-color',
|
||||
color: 'linear-gradient(135deg, #0f172a, #334155)',
|
||||
rules: [
|
||||
{ keyword: 'essentialai', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Inception',
|
||||
icon: 'inception',
|
||||
color: 'linear-gradient(135deg, #7c3aed, #ec4899)',
|
||||
rules: [
|
||||
{ keyword: 'inception', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Inflection',
|
||||
icon: 'inflection',
|
||||
color: 'linear-gradient(135deg, #1d4ed8, #2563eb)',
|
||||
rules: [
|
||||
{ keyword: 'inflection', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Liquid AI',
|
||||
icon: 'liquid',
|
||||
color: 'linear-gradient(135deg, #0f172a, #475569)',
|
||||
rules: [
|
||||
{ keyword: 'liquid', mode: 'includes' },
|
||||
{ keyword: 'lfm-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'LongCat',
|
||||
icon: 'longcat-color',
|
||||
color: 'linear-gradient(135deg, #f97316, #fb7185)',
|
||||
rules: [
|
||||
{ keyword: 'longcat', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Morph',
|
||||
icon: 'morph-color',
|
||||
color: 'linear-gradient(135deg, #4f46e5, #8b5cf6)',
|
||||
rules: [
|
||||
{ keyword: 'morph/', mode: 'includes' },
|
||||
{ keyword: 'morph-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Nous Research',
|
||||
icon: 'nousresearch',
|
||||
color: 'linear-gradient(135deg, #111827, #4b5563)',
|
||||
rules: [
|
||||
{ keyword: 'nousresearch', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Upstage',
|
||||
icon: 'upstage-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #14b8a6)',
|
||||
rules: [
|
||||
{ keyword: 'upstage', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Xiaomi MiMo',
|
||||
icon: 'xiaomimimo',
|
||||
color: 'linear-gradient(135deg, #f97316, #fb923c)',
|
||||
rules: [
|
||||
{ keyword: 'xiaomi/mimo', mode: 'includes' },
|
||||
{ keyword: 'xiaomimimo', mode: 'includes' },
|
||||
{ keyword: 'mimo-v', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Z.ai',
|
||||
icon: 'zai',
|
||||
color: 'linear-gradient(135deg, #0f172a, #2563eb)',
|
||||
rules: [
|
||||
{ keyword: '2zai', mode: 'startsWith' },
|
||||
{ keyword: 'z-ai', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'SenseNova',
|
||||
icon: 'sensenova-brand-color',
|
||||
color: 'linear-gradient(135deg, #f59e0b, #f97316)',
|
||||
rules: [
|
||||
{ keyword: 'sensenova', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Perplexity',
|
||||
icon: 'perplexity-color',
|
||||
color: 'linear-gradient(135deg, #0f766e, #14b8a6)',
|
||||
rules: [
|
||||
{ keyword: 'perplexity', mode: 'includes' },
|
||||
{ keyword: 'pplx-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'OpenRouter',
|
||||
icon: 'openrouter',
|
||||
color: 'linear-gradient(135deg, #7c3aed, #2563eb)',
|
||||
rules: [
|
||||
{ keyword: 'openrouter', mode: 'includes' },
|
||||
{ keyword: 'openrouter-', mode: 'startsWith' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Groq',
|
||||
icon: 'groq',
|
||||
color: 'linear-gradient(135deg, #111827, #374151)',
|
||||
rules: [
|
||||
{ keyword: 'groq', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Fireworks',
|
||||
icon: 'fireworks-color',
|
||||
color: 'linear-gradient(135deg, #fb7185, #f97316)',
|
||||
rules: [
|
||||
{ keyword: 'fireworks-ai', mode: 'includes' },
|
||||
{ keyword: 'fireworks', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'DeepInfra',
|
||||
icon: 'deepinfra-color',
|
||||
color: 'linear-gradient(135deg, #4f46e5, #7c3aed)',
|
||||
rules: [
|
||||
{ keyword: 'deepinfra', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Together AI',
|
||||
icon: 'together-brand-color',
|
||||
color: 'linear-gradient(135deg, #7c3aed, #ec4899)',
|
||||
rules: [
|
||||
{ keyword: 'together.ai', mode: 'includes' },
|
||||
{ keyword: 'together', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Replicate',
|
||||
icon: 'replicate-brand',
|
||||
color: 'linear-gradient(135deg, #111827, #6366f1)',
|
||||
rules: [
|
||||
{ keyword: 'replicate', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'SambaNova',
|
||||
icon: 'sambanova-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #06b6d4)',
|
||||
rules: [
|
||||
{ keyword: 'sambanova', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Cerebras',
|
||||
icon: 'cerebras-brand-color',
|
||||
color: 'linear-gradient(135deg, #0f766e, #65a30d)',
|
||||
rules: [
|
||||
{ keyword: 'cerebras', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Ollama',
|
||||
icon: 'ollama',
|
||||
color: 'linear-gradient(135deg, #1f2937, #4b5563)',
|
||||
rules: [
|
||||
{ keyword: 'ollama', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'ModelScope',
|
||||
icon: 'modelscope-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #60a5fa)',
|
||||
rules: [
|
||||
{ keyword: 'modelscope', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'SiliconCloud',
|
||||
icon: 'siliconcloud-color',
|
||||
color: 'linear-gradient(135deg, #0ea5e9, #22d3ee)',
|
||||
rules: [
|
||||
{ keyword: 'siliconcloud', mode: 'includes' },
|
||||
{ keyword: 'siliconflow', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Azure AI',
|
||||
icon: 'azureai-color',
|
||||
color: 'linear-gradient(135deg, #0284c7, #2563eb)',
|
||||
rules: [
|
||||
{ keyword: 'azureai', mode: 'includes' },
|
||||
{ keyword: 'azure-openai', mode: 'includes' },
|
||||
{ keyword: 'azure/openai', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'AWS Bedrock',
|
||||
icon: 'bedrock-color',
|
||||
color: 'linear-gradient(135deg, #f59e0b, #f97316)',
|
||||
rules: [
|
||||
{ keyword: 'bedrock', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Vertex AI',
|
||||
icon: 'vertexai-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #6366f1)',
|
||||
rules: [
|
||||
{ keyword: 'vertexai', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'Google Cloud',
|
||||
icon: 'googlecloud-brand-color',
|
||||
color: 'linear-gradient(135deg, #4285f4, #34a853)',
|
||||
rules: [
|
||||
{ keyword: 'googlecloud', mode: 'includes' },
|
||||
{ keyword: 'google-cloud', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '百度智能云',
|
||||
icon: 'baiducloud-color',
|
||||
color: 'linear-gradient(135deg, #2563eb, #38bdf8)',
|
||||
rules: [
|
||||
{ keyword: 'baiducloud', mode: 'includes' },
|
||||
{ keyword: 'qianfan', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '百炼',
|
||||
icon: 'bailian-color',
|
||||
color: 'linear-gradient(135deg, #7c3aed, #2563eb)',
|
||||
rules: [
|
||||
{ keyword: 'bailian', mode: 'includes' },
|
||||
{ keyword: 'dashscope', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '阿里云',
|
||||
icon: 'alibabacloud-color',
|
||||
color: 'linear-gradient(135deg, #f97316, #fb923c)',
|
||||
rules: [
|
||||
{ keyword: 'alibabacloud', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '火山引擎',
|
||||
icon: 'volcengine-color',
|
||||
color: 'linear-gradient(135deg, #325ab4, #0f66ff)',
|
||||
rules: [
|
||||
{ keyword: 'volcengine', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: '七牛云',
|
||||
icon: 'qiniu-color',
|
||||
color: 'linear-gradient(135deg, #06b6d4, #0891b2)',
|
||||
rules: [
|
||||
{ keyword: 'qiniu', mode: 'includes' },
|
||||
],
|
||||
},
|
||||
];
|
||||
|
||||
function normalizeInput(value: string): string {
|
||||
return String(value || '').trim().toLowerCase();
|
||||
}
|
||||
|
||||
export function stripCommonWrappers(value: string): string {
|
||||
return value
|
||||
.replace(/^(?:\[[^\]]+\]|【[^】]+】)\s*/g, '')
|
||||
.replace(/^re:\s*/g, '')
|
||||
.replace(/^\^+/, '')
|
||||
.replace(/\$+$/, '')
|
||||
.trim();
|
||||
}
|
||||
|
||||
export function collectBrandCandidates(modelName: string): string[] {
|
||||
const queue: string[] = [];
|
||||
const seen = new Set<string>();
|
||||
const push = (value: string) => {
|
||||
const normalized = normalizeInput(value);
|
||||
if (!normalized || seen.has(normalized)) return;
|
||||
seen.add(normalized);
|
||||
queue.push(normalized);
|
||||
};
|
||||
|
||||
push(modelName);
|
||||
|
||||
for (let index = 0; index < queue.length; index += 1) {
|
||||
const candidate = queue[index]!;
|
||||
const cleaned = stripCommonWrappers(candidate);
|
||||
push(cleaned);
|
||||
|
||||
if (cleaned.includes('/')) {
|
||||
for (const part of cleaned.split('/')) push(part);
|
||||
}
|
||||
if (cleaned.includes(':')) {
|
||||
for (const part of cleaned.split(':')) push(part);
|
||||
}
|
||||
if (cleaned.includes(',')) {
|
||||
for (const part of cleaned.split(',')) push(part);
|
||||
}
|
||||
}
|
||||
|
||||
return queue;
|
||||
}
|
||||
|
||||
function buildMatchContext(modelName: string): BrandMatchContext {
|
||||
const candidates = collectBrandCandidates(modelName);
|
||||
const raw = candidates[0] || normalizeInput(modelName);
|
||||
const cleaned = stripCommonWrappers(raw);
|
||||
const segments = Array.from(new Set(
|
||||
candidates
|
||||
.flatMap((candidate) => candidate.split(/[/:,\s]+/g))
|
||||
.map((segment) => segment.trim())
|
||||
.filter(Boolean),
|
||||
));
|
||||
|
||||
return {
|
||||
raw,
|
||||
cleaned,
|
||||
segments,
|
||||
candidates,
|
||||
};
|
||||
}
|
||||
|
||||
function matchesRule(context: BrandMatchContext, rule: BrandRule): boolean {
|
||||
switch (rule.mode) {
|
||||
case 'includes':
|
||||
return context.raw.includes(rule.keyword)
|
||||
|| context.cleaned.includes(rule.keyword)
|
||||
|| context.candidates.some((candidate) => candidate.includes(rule.keyword));
|
||||
case 'startsWith':
|
||||
return context.raw.startsWith(rule.keyword)
|
||||
|| context.cleaned.startsWith(rule.keyword)
|
||||
|| context.segments.some((segment) => segment.startsWith(rule.keyword))
|
||||
|| context.candidates.some((candidate) => candidate.startsWith(rule.keyword));
|
||||
case 'segment':
|
||||
return context.segments.includes(rule.keyword);
|
||||
case 'boundary': {
|
||||
const pattern = new RegExp(`(^|[/:_\\-\\s])${escapeRegExp(rule.keyword)}(?=$|[/:_\\-\\s])`);
|
||||
return pattern.test(context.raw)
|
||||
|| pattern.test(context.cleaned)
|
||||
|| context.candidates.some((candidate) => pattern.test(candidate));
|
||||
}
|
||||
default:
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
function escapeRegExp(value: string): string {
|
||||
return value.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
|
||||
}
|
||||
|
||||
const BRAND_FALLBACK_BOUNDARY_RULES = BRAND_DEFINITIONS.map((brand) => ({
|
||||
brand,
|
||||
boundaryRegex: new RegExp(`(^|[^a-z0-9])${escapeRegExp(brand.name.toLowerCase())}(?=$|[^a-z0-9])`),
|
||||
}));
|
||||
|
||||
export function getAllBrands(): BrandInfo[] {
|
||||
return BRAND_DEFINITIONS.map(({ name, icon, color }) => ({ name, icon, color }));
|
||||
}
|
||||
|
||||
export function getAllBrandNames(): string[] {
|
||||
return BRAND_DEFINITIONS.map((brand) => brand.name);
|
||||
}
|
||||
|
||||
function toBrandInfo(brand: BrandDefinition): BrandInfo {
|
||||
return {
|
||||
name: brand.name,
|
||||
icon: brand.icon,
|
||||
color: brand.color,
|
||||
};
|
||||
}
|
||||
|
||||
export function getMatchingBrands(modelName: string): BrandInfo[] {
|
||||
const context = buildMatchContext(modelName);
|
||||
const matches: BrandInfo[] = [];
|
||||
const seen = new Set<string>();
|
||||
|
||||
const add = (brand: BrandDefinition) => {
|
||||
if (seen.has(brand.name)) return;
|
||||
seen.add(brand.name);
|
||||
matches.push(toBrandInfo(brand));
|
||||
};
|
||||
|
||||
for (const definition of BRAND_DEFINITIONS) {
|
||||
if (definition.rules.some((rule) => matchesRule(context, rule))) {
|
||||
add(definition);
|
||||
}
|
||||
}
|
||||
|
||||
for (const candidate of context.candidates) {
|
||||
for (const rule of BRAND_FALLBACK_BOUNDARY_RULES) {
|
||||
if (rule.boundaryRegex.test(candidate)) {
|
||||
add(rule.brand);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return matches;
|
||||
}
|
||||
|
||||
export function getMatchingBrandNames(modelName: string): string[] {
|
||||
return getMatchingBrands(modelName).map((brand) => brand.name);
|
||||
}
|
||||
|
||||
export function getBrand(modelName: string): BrandInfo | null {
|
||||
return getMatchingBrands(modelName)[0] || null;
|
||||
}
|
||||
@@ -0,0 +1,118 @@
|
||||
const STABLE_SEMVER_PATTERN = /^v?(\d+)\.(\d+)\.(\d+)(?:\+[\w.-]+)?$/i;
|
||||
function normalizeString(value) {
|
||||
return String(value || '').trim();
|
||||
}
|
||||
function normalizeDigest(value) {
|
||||
const digest = normalizeString(value);
|
||||
return /^sha256:[a-f0-9]{64}$/i.test(digest) ? digest.toLowerCase() : '';
|
||||
}
|
||||
function normalizeStableTag(value) {
|
||||
return normalizeStableVersion(value);
|
||||
}
|
||||
function hasSameImageTag(left, right) {
|
||||
const rawLeft = normalizeString(left);
|
||||
const rawRight = normalizeString(right);
|
||||
if (!rawLeft || !rawRight)
|
||||
return false;
|
||||
const stableLeft = normalizeStableTag(left);
|
||||
const stableRight = normalizeStableTag(right);
|
||||
if (stableLeft && stableRight) {
|
||||
return stableLeft === stableRight;
|
||||
}
|
||||
return rawLeft === rawRight;
|
||||
}
|
||||
export function normalizeStableVersion(value) {
|
||||
const raw = normalizeString(value);
|
||||
if (!raw)
|
||||
return '';
|
||||
const match = raw.match(STABLE_SEMVER_PATTERN);
|
||||
if (!match)
|
||||
return '';
|
||||
return [
|
||||
Number.parseInt(match[1], 10),
|
||||
Number.parseInt(match[2], 10),
|
||||
Number.parseInt(match[3], 10),
|
||||
].join('.');
|
||||
}
|
||||
export function compareStableVersions(left, right) {
|
||||
const normalizedLeft = normalizeStableVersion(left);
|
||||
const normalizedRight = normalizeStableVersion(right);
|
||||
if (!normalizedLeft || !normalizedRight)
|
||||
return null;
|
||||
const leftParts = normalizedLeft.split('.').map((item) => Number.parseInt(item, 10));
|
||||
const rightParts = normalizedRight.split('.').map((item) => Number.parseInt(item, 10));
|
||||
for (let index = 0; index < 3; index += 1) {
|
||||
if (leftParts[index] === rightParts[index])
|
||||
continue;
|
||||
return leftParts[index] < rightParts[index] ? -1 : 1;
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
export function isSameImageTarget(current, target) {
|
||||
const currentDigest = normalizeDigest(current?.imageDigest);
|
||||
const targetDigest = normalizeDigest(target.digest);
|
||||
if (currentDigest && targetDigest) {
|
||||
return currentDigest === targetDigest;
|
||||
}
|
||||
return hasSameImageTag(current?.imageTag, target.tag);
|
||||
}
|
||||
export function buildUpdateReminderCandidateKey(source, candidate) {
|
||||
const tagName = normalizeString(candidate.tagName);
|
||||
const digest = normalizeDigest(candidate.digest);
|
||||
if (!tagName)
|
||||
return '';
|
||||
if (source === 'docker-hub-tag' && digest) {
|
||||
return `${source}:${tagName}@${digest}`;
|
||||
}
|
||||
return `${source}:${tagName}`;
|
||||
}
|
||||
export function resolveUpdateReminderCandidate(input) {
|
||||
const githubCandidateVersion = normalizeString(input.githubRelease?.normalizedVersion);
|
||||
const githubTag = normalizeString(input.githubRelease?.tagName || githubCandidateVersion);
|
||||
if (githubTag) {
|
||||
const githubTargetVersion = githubCandidateVersion || githubTag;
|
||||
const versionCompare = compareStableVersions(input.currentVersion, githubTargetVersion);
|
||||
const helperVersionCompare = compareStableVersions(input.helper?.imageTag, githubTargetVersion);
|
||||
if (versionCompare === -1 && (helperVersionCompare == null || helperVersionCompare === -1)) {
|
||||
return {
|
||||
source: 'github-release',
|
||||
kind: 'new-version',
|
||||
candidateKey: buildUpdateReminderCandidateKey('github-release', { tagName: githubTag, digest: null }),
|
||||
displayVersion: normalizeString(input.githubRelease?.displayVersion || input.githubRelease?.normalizedVersion || githubTag),
|
||||
tagName: githubTag,
|
||||
digest: null,
|
||||
};
|
||||
}
|
||||
}
|
||||
const dockerCandidateVersion = normalizeString(input.dockerHubTag?.normalizedVersion);
|
||||
const dockerTag = normalizeString(input.dockerHubTag?.tagName || dockerCandidateVersion);
|
||||
const dockerDigest = normalizeDigest(input.dockerHubTag?.digest);
|
||||
if (!dockerTag)
|
||||
return null;
|
||||
if (isSameImageTarget(input.helper, { tag: dockerTag, digest: dockerDigest })) {
|
||||
return null;
|
||||
}
|
||||
const dockerVersionCompare = compareStableVersions(input.currentVersion, dockerCandidateVersion || dockerTag);
|
||||
if (dockerVersionCompare === -1) {
|
||||
return {
|
||||
source: 'docker-hub-tag',
|
||||
kind: 'new-version',
|
||||
candidateKey: buildUpdateReminderCandidateKey('docker-hub-tag', { tagName: dockerTag, digest: dockerDigest || null }),
|
||||
displayVersion: normalizeString(input.dockerHubTag?.displayVersion || input.dockerHubTag?.normalizedVersion || dockerTag),
|
||||
tagName: dockerTag,
|
||||
digest: dockerDigest || null,
|
||||
};
|
||||
}
|
||||
const helperDigest = normalizeDigest(input.helper?.imageDigest);
|
||||
if (dockerDigest && helperDigest && hasSameImageTag(input.helper?.imageTag, dockerTag) && helperDigest !== dockerDigest) {
|
||||
return {
|
||||
source: 'docker-hub-tag',
|
||||
kind: 'new-digest',
|
||||
candidateKey: buildUpdateReminderCandidateKey('docker-hub-tag', { tagName: dockerTag, digest: dockerDigest }),
|
||||
displayVersion: normalizeString(input.dockerHubTag?.displayVersion || input.dockerHubTag?.normalizedVersion || dockerTag),
|
||||
tagName: dockerTag,
|
||||
digest: dockerDigest,
|
||||
};
|
||||
}
|
||||
return null;
|
||||
}
|
||||
@@ -0,0 +1,161 @@
|
||||
export type UpdateVersionCandidateLike = {
|
||||
normalizedVersion?: string | null;
|
||||
displayVersion?: string | null;
|
||||
tagName?: string | null;
|
||||
digest?: string | null;
|
||||
};
|
||||
|
||||
export type UpdateHelperRuntimeLike = {
|
||||
imageTag?: string | null;
|
||||
imageDigest?: string | null;
|
||||
};
|
||||
|
||||
export type UpdateReminderCandidate = {
|
||||
source: 'github-release' | 'docker-hub-tag';
|
||||
kind: 'new-version' | 'new-digest';
|
||||
candidateKey: string;
|
||||
displayVersion: string;
|
||||
tagName: string;
|
||||
digest: string | null;
|
||||
};
|
||||
|
||||
const STABLE_SEMVER_PATTERN = /^v?(\d+)\.(\d+)\.(\d+)(?:\+[\w.-]+)?$/i;
|
||||
|
||||
function normalizeString(value?: string | null): string {
|
||||
return String(value || '').trim();
|
||||
}
|
||||
|
||||
function normalizeDigest(value?: string | null): string {
|
||||
const digest = normalizeString(value);
|
||||
return /^sha256:[a-f0-9]{64}$/i.test(digest) ? digest.toLowerCase() : '';
|
||||
}
|
||||
|
||||
function normalizeStableTag(value?: string | null): string {
|
||||
return normalizeStableVersion(value);
|
||||
}
|
||||
|
||||
function hasSameImageTag(left?: string | null, right?: string | null): boolean {
|
||||
const rawLeft = normalizeString(left);
|
||||
const rawRight = normalizeString(right);
|
||||
if (!rawLeft || !rawRight) return false;
|
||||
|
||||
const stableLeft = normalizeStableTag(left);
|
||||
const stableRight = normalizeStableTag(right);
|
||||
if (stableLeft && stableRight) {
|
||||
return stableLeft === stableRight;
|
||||
}
|
||||
|
||||
return rawLeft === rawRight;
|
||||
}
|
||||
|
||||
export function normalizeStableVersion(value?: string | null): string {
|
||||
const raw = normalizeString(value);
|
||||
if (!raw) return '';
|
||||
const match = raw.match(STABLE_SEMVER_PATTERN);
|
||||
if (!match) return '';
|
||||
return [
|
||||
Number.parseInt(match[1], 10),
|
||||
Number.parseInt(match[2], 10),
|
||||
Number.parseInt(match[3], 10),
|
||||
].join('.');
|
||||
}
|
||||
|
||||
export function compareStableVersions(left?: string | null, right?: string | null): number | null {
|
||||
const normalizedLeft = normalizeStableVersion(left);
|
||||
const normalizedRight = normalizeStableVersion(right);
|
||||
if (!normalizedLeft || !normalizedRight) return null;
|
||||
|
||||
const leftParts = normalizedLeft.split('.').map((item) => Number.parseInt(item, 10));
|
||||
const rightParts = normalizedRight.split('.').map((item) => Number.parseInt(item, 10));
|
||||
for (let index = 0; index < 3; index += 1) {
|
||||
if (leftParts[index] === rightParts[index]) continue;
|
||||
return leftParts[index] < rightParts[index] ? -1 : 1;
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
|
||||
export function isSameImageTarget(
|
||||
current: UpdateHelperRuntimeLike | null | undefined,
|
||||
target: { tag?: string | null; digest?: string | null },
|
||||
): boolean {
|
||||
const currentDigest = normalizeDigest(current?.imageDigest);
|
||||
const targetDigest = normalizeDigest(target.digest);
|
||||
if (currentDigest && targetDigest) {
|
||||
return currentDigest === targetDigest;
|
||||
}
|
||||
|
||||
return hasSameImageTag(current?.imageTag, target.tag);
|
||||
}
|
||||
|
||||
export function buildUpdateReminderCandidateKey(
|
||||
source: 'github-release' | 'docker-hub-tag',
|
||||
candidate: { tagName?: string | null; digest?: string | null },
|
||||
): string {
|
||||
const tagName = normalizeString(candidate.tagName);
|
||||
const digest = normalizeDigest(candidate.digest);
|
||||
if (!tagName) return '';
|
||||
if (source === 'docker-hub-tag' && digest) {
|
||||
return `${source}:${tagName}@${digest}`;
|
||||
}
|
||||
return `${source}:${tagName}`;
|
||||
}
|
||||
|
||||
export function resolveUpdateReminderCandidate(input: {
|
||||
currentVersion?: string | null;
|
||||
helper: UpdateHelperRuntimeLike | null | undefined;
|
||||
githubRelease: UpdateVersionCandidateLike | null | undefined;
|
||||
dockerHubTag: UpdateVersionCandidateLike | null | undefined;
|
||||
}): UpdateReminderCandidate | null {
|
||||
const githubCandidateVersion = normalizeString(input.githubRelease?.normalizedVersion);
|
||||
const githubTag = normalizeString(input.githubRelease?.tagName || githubCandidateVersion);
|
||||
if (githubTag) {
|
||||
const githubTargetVersion = githubCandidateVersion || githubTag;
|
||||
const versionCompare = compareStableVersions(input.currentVersion, githubTargetVersion);
|
||||
const helperVersionCompare = compareStableVersions(input.helper?.imageTag, githubTargetVersion);
|
||||
if (versionCompare === -1 && (helperVersionCompare == null || helperVersionCompare === -1)) {
|
||||
return {
|
||||
source: 'github-release',
|
||||
kind: 'new-version',
|
||||
candidateKey: buildUpdateReminderCandidateKey('github-release', { tagName: githubTag, digest: null }),
|
||||
displayVersion: normalizeString(input.githubRelease?.displayVersion || input.githubRelease?.normalizedVersion || githubTag),
|
||||
tagName: githubTag,
|
||||
digest: null,
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
const dockerCandidateVersion = normalizeString(input.dockerHubTag?.normalizedVersion);
|
||||
const dockerTag = normalizeString(input.dockerHubTag?.tagName || dockerCandidateVersion);
|
||||
const dockerDigest = normalizeDigest(input.dockerHubTag?.digest);
|
||||
if (!dockerTag) return null;
|
||||
|
||||
if (isSameImageTarget(input.helper, { tag: dockerTag, digest: dockerDigest })) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const dockerVersionCompare = compareStableVersions(input.currentVersion, dockerCandidateVersion || dockerTag);
|
||||
if (dockerVersionCompare === -1) {
|
||||
return {
|
||||
source: 'docker-hub-tag',
|
||||
kind: 'new-version',
|
||||
candidateKey: buildUpdateReminderCandidateKey('docker-hub-tag', { tagName: dockerTag, digest: dockerDigest || null }),
|
||||
displayVersion: normalizeString(input.dockerHubTag?.displayVersion || input.dockerHubTag?.normalizedVersion || dockerTag),
|
||||
tagName: dockerTag,
|
||||
digest: dockerDigest || null,
|
||||
};
|
||||
}
|
||||
|
||||
const helperDigest = normalizeDigest(input.helper?.imageDigest);
|
||||
if (dockerDigest && helperDigest && hasSameImageTag(input.helper?.imageTag, dockerTag) && helperDigest !== dockerDigest) {
|
||||
return {
|
||||
source: 'docker-hub-tag',
|
||||
kind: 'new-digest',
|
||||
candidateKey: buildUpdateReminderCandidateKey('docker-hub-tag', { tagName: dockerTag, digest: dockerDigest }),
|
||||
displayVersion: normalizeString(input.dockerHubTag?.displayVersion || input.dockerHubTag?.normalizedVersion || dockerTag),
|
||||
tagName: dockerTag,
|
||||
digest: dockerDigest,
|
||||
};
|
||||
}
|
||||
|
||||
return null;
|
||||
}
|
||||
@@ -0,0 +1,4 @@
|
||||
export {
|
||||
buildBatchApiKeyConnectionName,
|
||||
parseBatchApiKeys,
|
||||
} from '../server/services/shared/apiKeyBatchCore.js';
|
||||
+15
@@ -0,0 +1,15 @@
|
||||
export type ConversationFileKind = 'document' | 'image' | 'audio' | 'unknown';
|
||||
export declare const CONVERSATION_DOCUMENT_ACCEPT_PARTS: string[];
|
||||
export declare function inferConversationFileMimeType(filename: string | null | undefined): string;
|
||||
export declare function resolveConversationFileMimeType(mimeType: string | null | undefined, filename: string | null | undefined): string;
|
||||
export declare function classifyConversationFileMimeType(mimeType: string | null | undefined): Exclude<ConversationFileKind, 'unknown'>;
|
||||
export declare function detectConversationFileKind(file: {
|
||||
filename?: string | null;
|
||||
mimeType?: string | null;
|
||||
}): ConversationFileKind;
|
||||
export declare function isSupportedConversationFileMimeType(mimeType: string): boolean;
|
||||
export declare function buildConversationAcceptList(input: {
|
||||
document: boolean;
|
||||
image: boolean;
|
||||
audio: boolean;
|
||||
}): string;
|
||||
@@ -0,0 +1,134 @@
|
||||
export const CONVERSATION_DOCUMENT_ACCEPT_PARTS = [
|
||||
'.pdf',
|
||||
'.txt',
|
||||
'.md',
|
||||
'.markdown',
|
||||
'.json',
|
||||
];
|
||||
const EXTENSION_MIME_MAP = {
|
||||
// Documents
|
||||
pdf: 'application/pdf',
|
||||
txt: 'text/plain',
|
||||
md: 'text/markdown',
|
||||
markdown: 'text/markdown',
|
||||
json: 'application/json',
|
||||
csv: 'text/csv',
|
||||
xml: 'text/xml',
|
||||
html: 'text/html',
|
||||
htm: 'text/html',
|
||||
// Images
|
||||
png: 'image/png',
|
||||
jpeg: 'image/jpeg',
|
||||
jpg: 'image/jpeg',
|
||||
gif: 'image/gif',
|
||||
webp: 'image/webp',
|
||||
avif: 'image/avif',
|
||||
bmp: 'image/bmp',
|
||||
svg: 'image/svg+xml',
|
||||
ico: 'image/x-icon',
|
||||
tiff: 'image/tiff',
|
||||
tif: 'image/tiff',
|
||||
// Audio
|
||||
mp3: 'audio/mpeg',
|
||||
wav: 'audio/wav',
|
||||
ogg: 'audio/ogg',
|
||||
m4a: 'audio/mp4',
|
||||
aac: 'audio/aac',
|
||||
flac: 'audio/flac',
|
||||
wma: 'audio/x-ms-wma',
|
||||
webm: 'audio/webm',
|
||||
};
|
||||
const SUPPORTED_MIME_TYPES = new Set([
|
||||
// Images
|
||||
'image/png',
|
||||
'image/jpeg',
|
||||
'image/gif',
|
||||
'image/webp',
|
||||
'image/avif',
|
||||
'image/bmp',
|
||||
'image/svg+xml',
|
||||
'image/tiff',
|
||||
// Audio
|
||||
'audio/mpeg',
|
||||
'audio/wav',
|
||||
'audio/ogg',
|
||||
'audio/mp4',
|
||||
'audio/aac',
|
||||
'audio/flac',
|
||||
'audio/webm',
|
||||
// Documents
|
||||
'application/pdf',
|
||||
'text/plain',
|
||||
'text/markdown',
|
||||
'application/json',
|
||||
'text/csv',
|
||||
'text/xml',
|
||||
'text/html',
|
||||
]);
|
||||
function stripMimeParameters(mimeType) {
|
||||
return mimeType.split(';')[0].trim();
|
||||
}
|
||||
function getExtension(filename) {
|
||||
if (!filename)
|
||||
return '';
|
||||
const dotIndex = filename.lastIndexOf('.');
|
||||
if (dotIndex < 0)
|
||||
return '';
|
||||
return filename.slice(dotIndex + 1).toLowerCase();
|
||||
}
|
||||
export function inferConversationFileMimeType(filename) {
|
||||
const ext = getExtension(filename);
|
||||
return EXTENSION_MIME_MAP[ext] || 'application/octet-stream';
|
||||
}
|
||||
export function resolveConversationFileMimeType(mimeType, filename) {
|
||||
if (!mimeType) {
|
||||
return inferConversationFileMimeType(filename);
|
||||
}
|
||||
const stripped = stripMimeParameters(mimeType);
|
||||
if (stripped === 'application/octet-stream' || stripped === 'application/octet-stream;charset=utf-8') {
|
||||
return inferConversationFileMimeType(filename);
|
||||
}
|
||||
return stripped;
|
||||
}
|
||||
export function classifyConversationFileMimeType(mimeType) {
|
||||
if (!mimeType)
|
||||
return 'document';
|
||||
const stripped = stripMimeParameters(mimeType);
|
||||
if (stripped.startsWith('image/'))
|
||||
return 'image';
|
||||
if (stripped.startsWith('audio/'))
|
||||
return 'audio';
|
||||
return 'document';
|
||||
}
|
||||
export function detectConversationFileKind(file) {
|
||||
const resolved = resolveConversationFileMimeType(file.mimeType, file.filename);
|
||||
const classified = classifyConversationFileMimeType(resolved);
|
||||
if (classified !== 'document')
|
||||
return classified;
|
||||
// When we don't have a meaningful mimeType, rely on filename extension
|
||||
// to distinguish between known document types and truly unknown files.
|
||||
const normalizedMime = file.mimeType ? stripMimeParameters(file.mimeType) : '';
|
||||
if (!normalizedMime || normalizedMime === 'application/octet-stream') {
|
||||
const ext = getExtension(file.filename);
|
||||
if (!ext || !EXTENSION_MIME_MAP[ext])
|
||||
return 'unknown';
|
||||
}
|
||||
return 'document';
|
||||
}
|
||||
export function isSupportedConversationFileMimeType(mimeType) {
|
||||
const stripped = stripMimeParameters(mimeType);
|
||||
return SUPPORTED_MIME_TYPES.has(stripped);
|
||||
}
|
||||
export function buildConversationAcceptList(input) {
|
||||
const parts = [];
|
||||
if (input.document) {
|
||||
parts.push(...CONVERSATION_DOCUMENT_ACCEPT_PARTS);
|
||||
}
|
||||
if (input.image) {
|
||||
parts.push('image/*');
|
||||
}
|
||||
if (input.audio) {
|
||||
parts.push('audio/*');
|
||||
}
|
||||
return parts.join(',');
|
||||
}
|
||||
@@ -0,0 +1,154 @@
|
||||
export type ConversationFileKind = 'document' | 'image' | 'audio' | 'unknown';
|
||||
|
||||
export const CONVERSATION_DOCUMENT_ACCEPT_PARTS: string[] = [
|
||||
'.pdf',
|
||||
'.txt',
|
||||
'.md',
|
||||
'.markdown',
|
||||
'.json',
|
||||
];
|
||||
|
||||
const EXTENSION_MIME_MAP: Record<string, string> = {
|
||||
// Documents
|
||||
pdf: 'application/pdf',
|
||||
txt: 'text/plain',
|
||||
md: 'text/markdown',
|
||||
markdown: 'text/markdown',
|
||||
json: 'application/json',
|
||||
csv: 'text/csv',
|
||||
xml: 'text/xml',
|
||||
html: 'text/html',
|
||||
htm: 'text/html',
|
||||
// Images
|
||||
png: 'image/png',
|
||||
jpeg: 'image/jpeg',
|
||||
jpg: 'image/jpeg',
|
||||
gif: 'image/gif',
|
||||
webp: 'image/webp',
|
||||
avif: 'image/avif',
|
||||
bmp: 'image/bmp',
|
||||
svg: 'image/svg+xml',
|
||||
ico: 'image/x-icon',
|
||||
tiff: 'image/tiff',
|
||||
tif: 'image/tiff',
|
||||
// Audio
|
||||
mp3: 'audio/mpeg',
|
||||
wav: 'audio/wav',
|
||||
ogg: 'audio/ogg',
|
||||
m4a: 'audio/mp4',
|
||||
aac: 'audio/aac',
|
||||
flac: 'audio/flac',
|
||||
wma: 'audio/x-ms-wma',
|
||||
webm: 'audio/webm',
|
||||
};
|
||||
|
||||
const SUPPORTED_MIME_TYPES = new Set<string>([
|
||||
// Images
|
||||
'image/png',
|
||||
'image/jpeg',
|
||||
'image/gif',
|
||||
'image/webp',
|
||||
'image/avif',
|
||||
'image/bmp',
|
||||
'image/svg+xml',
|
||||
'image/tiff',
|
||||
// Audio
|
||||
'audio/mpeg',
|
||||
'audio/wav',
|
||||
'audio/ogg',
|
||||
'audio/mp4',
|
||||
'audio/aac',
|
||||
'audio/flac',
|
||||
'audio/webm',
|
||||
// Documents
|
||||
'application/pdf',
|
||||
'text/plain',
|
||||
'text/markdown',
|
||||
'application/json',
|
||||
'text/csv',
|
||||
'text/xml',
|
||||
'text/html',
|
||||
]);
|
||||
|
||||
function stripMimeParameters(mimeType: string): string {
|
||||
return mimeType.split(';')[0].trim();
|
||||
}
|
||||
|
||||
function getExtension(filename: string | null | undefined): string {
|
||||
if (!filename) return '';
|
||||
const dotIndex = filename.lastIndexOf('.');
|
||||
if (dotIndex < 0) return '';
|
||||
return filename.slice(dotIndex + 1).toLowerCase();
|
||||
}
|
||||
|
||||
export function inferConversationFileMimeType(filename: string | null | undefined): string {
|
||||
const ext = getExtension(filename);
|
||||
return EXTENSION_MIME_MAP[ext] || 'application/octet-stream';
|
||||
}
|
||||
|
||||
export function resolveConversationFileMimeType(
|
||||
mimeType: string | null | undefined,
|
||||
filename: string | null | undefined,
|
||||
): string {
|
||||
if (!mimeType) {
|
||||
return inferConversationFileMimeType(filename);
|
||||
}
|
||||
const stripped = stripMimeParameters(mimeType);
|
||||
if (stripped === 'application/octet-stream' || stripped === 'application/octet-stream;charset=utf-8') {
|
||||
return inferConversationFileMimeType(filename);
|
||||
}
|
||||
return stripped;
|
||||
}
|
||||
|
||||
export function classifyConversationFileMimeType(
|
||||
mimeType: string | null | undefined,
|
||||
): Exclude<ConversationFileKind, 'unknown'> {
|
||||
if (!mimeType) return 'document';
|
||||
const stripped = stripMimeParameters(mimeType);
|
||||
if (stripped.startsWith('image/')) return 'image';
|
||||
if (stripped.startsWith('audio/')) return 'audio';
|
||||
return 'document';
|
||||
}
|
||||
|
||||
export function detectConversationFileKind(file: {
|
||||
filename?: string | null;
|
||||
mimeType?: string | null;
|
||||
}): ConversationFileKind {
|
||||
const resolved = resolveConversationFileMimeType(file.mimeType, file.filename);
|
||||
const classified = classifyConversationFileMimeType(resolved);
|
||||
|
||||
if (classified !== 'document') return classified;
|
||||
|
||||
// When we don't have a meaningful mimeType, rely on filename extension
|
||||
// to distinguish between known document types and truly unknown files.
|
||||
const normalizedMime = file.mimeType ? stripMimeParameters(file.mimeType) : '';
|
||||
if (!normalizedMime || normalizedMime === 'application/octet-stream') {
|
||||
const ext = getExtension(file.filename);
|
||||
if (!ext || !EXTENSION_MIME_MAP[ext]) return 'unknown';
|
||||
}
|
||||
|
||||
return 'document';
|
||||
}
|
||||
|
||||
export function isSupportedConversationFileMimeType(mimeType: string): boolean {
|
||||
const stripped = stripMimeParameters(mimeType);
|
||||
return SUPPORTED_MIME_TYPES.has(stripped);
|
||||
}
|
||||
|
||||
export function buildConversationAcceptList(input: {
|
||||
document: boolean;
|
||||
image: boolean;
|
||||
audio: boolean;
|
||||
}): string {
|
||||
const parts: string[] = [];
|
||||
if (input.document) {
|
||||
parts.push(...CONVERSATION_DOCUMENT_ACCEPT_PARTS);
|
||||
}
|
||||
if (input.image) {
|
||||
parts.push('image/*');
|
||||
}
|
||||
if (input.audio) {
|
||||
parts.push('audio/*');
|
||||
}
|
||||
return parts.join(',');
|
||||
}
|
||||
@@ -0,0 +1,65 @@
|
||||
export const PLATFORM_ALIASES = {
|
||||
anthropic: 'claude',
|
||||
google: 'gemini',
|
||||
'chatgpt-codex': 'codex',
|
||||
'anti-gravity': 'antigravity',
|
||||
'gemini-cli': 'gemini-cli',
|
||||
cliproxyapi: 'cliproxyapi',
|
||||
'claude-code': 'claude',
|
||||
'claude cli': 'claude',
|
||||
'new api': 'new-api',
|
||||
newapi: 'new-api',
|
||||
'one api': 'one-api',
|
||||
oneapi: 'one-api',
|
||||
'one hub': 'one-hub',
|
||||
onehub: 'one-hub',
|
||||
'done hub': 'done-hub',
|
||||
donehub: 'done-hub',
|
||||
};
|
||||
const PLATFORM_URL_HINTS = [
|
||||
{ hostPattern: 'api.openai.com', platform: 'openai' },
|
||||
{ hostPattern: 'chatgpt.com', platform: 'codex' },
|
||||
{ hostPattern: 'api.anthropic.com', platform: 'claude' },
|
||||
{ hostPattern: 'generativelanguage.googleapis.com', platform: 'gemini' },
|
||||
{ hostPattern: 'cloudcode-pa.googleapis.com', platform: 'gemini-cli' },
|
||||
{ hostPattern: '127.0.0.1:8317', platform: 'cliproxyapi' },
|
||||
];
|
||||
export function normalizePlatformAlias(platform) {
|
||||
if (!platform || typeof platform !== 'string')
|
||||
return '';
|
||||
const raw = platform.trim();
|
||||
if (!raw)
|
||||
return '';
|
||||
const lower = raw.toLowerCase();
|
||||
// Check PLATFORM_ALIASES first
|
||||
if (Object.prototype.hasOwnProperty.call(PLATFORM_ALIASES, lower)) {
|
||||
return PLATFORM_ALIASES[lower];
|
||||
}
|
||||
// Generic normalization: replace underscores and spaces with hyphens
|
||||
const hyphenated = lower.replace(/[_ ]+/g, '-');
|
||||
// Check aliases again with hyphenated form
|
||||
if (Object.prototype.hasOwnProperty.call(PLATFORM_ALIASES, hyphenated)) {
|
||||
return PLATFORM_ALIASES[hyphenated];
|
||||
}
|
||||
// Remove hyphens between word characters (e.g. anti-gravity -> antigravity)
|
||||
return hyphenated.replace(/-/g, '');
|
||||
}
|
||||
export function detectPlatformByUrlHint(url) {
|
||||
const lowerUrl = url.toLowerCase();
|
||||
for (const hint of PLATFORM_URL_HINTS) {
|
||||
if (lowerUrl.includes(hint.hostPattern)) {
|
||||
// Make sure the host appears as a proper hostname segment (prevent
|
||||
// forged queries like ?next=https://api.openai.com from matching).
|
||||
const hostIndex = lowerUrl.indexOf(hint.hostPattern);
|
||||
if (hostIndex >= 0) {
|
||||
// Check that what precedes the host pattern is either the start
|
||||
// of the URL or a valid URL separator (:// or /).
|
||||
const preceding = lowerUrl[hostIndex - 1];
|
||||
if (hostIndex === 0 || preceding === '/' || preceding === ':') {
|
||||
return hint.platform;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
return undefined;
|
||||
}
|
||||
@@ -0,0 +1,71 @@
|
||||
export const PLATFORM_ALIASES: Record<string, string> = {
|
||||
anthropic: 'claude',
|
||||
google: 'gemini',
|
||||
'chatgpt-codex': 'codex',
|
||||
'anti-gravity': 'antigravity',
|
||||
'gemini-cli': 'gemini-cli',
|
||||
cliproxyapi: 'cliproxyapi',
|
||||
'claude-code': 'claude',
|
||||
'claude cli': 'claude',
|
||||
'new api': 'new-api',
|
||||
newapi: 'new-api',
|
||||
'one api': 'one-api',
|
||||
oneapi: 'one-api',
|
||||
'one hub': 'one-hub',
|
||||
onehub: 'one-hub',
|
||||
'done hub': 'done-hub',
|
||||
donehub: 'done-hub',
|
||||
};
|
||||
|
||||
const PLATFORM_URL_HINTS: Array<{ hostPattern: string; platform: string }> = [
|
||||
{ hostPattern: 'api.openai.com', platform: 'openai' },
|
||||
{ hostPattern: 'chatgpt.com', platform: 'codex' },
|
||||
{ hostPattern: 'api.anthropic.com', platform: 'claude' },
|
||||
{ hostPattern: 'generativelanguage.googleapis.com', platform: 'gemini' },
|
||||
{ hostPattern: 'cloudcode-pa.googleapis.com', platform: 'gemini-cli' },
|
||||
{ hostPattern: '127.0.0.1:8317', platform: 'cliproxyapi' },
|
||||
];
|
||||
|
||||
export function normalizePlatformAlias(platform: unknown): string {
|
||||
if (!platform || typeof platform !== 'string') return '';
|
||||
const raw = platform.trim();
|
||||
if (!raw) return '';
|
||||
|
||||
const lower = raw.toLowerCase();
|
||||
|
||||
// Check PLATFORM_ALIASES first
|
||||
if (Object.prototype.hasOwnProperty.call(PLATFORM_ALIASES, lower)) {
|
||||
return PLATFORM_ALIASES[lower];
|
||||
}
|
||||
|
||||
// Generic normalization: replace underscores and spaces with hyphens
|
||||
const hyphenated = lower.replace(/[_ ]+/g, '-');
|
||||
|
||||
// Check aliases again with hyphenated form
|
||||
if (Object.prototype.hasOwnProperty.call(PLATFORM_ALIASES, hyphenated)) {
|
||||
return PLATFORM_ALIASES[hyphenated];
|
||||
}
|
||||
|
||||
// Remove hyphens between word characters (e.g. anti-gravity -> antigravity)
|
||||
return hyphenated.replace(/-/g, '');
|
||||
}
|
||||
|
||||
export function detectPlatformByUrlHint(url: string): string | undefined {
|
||||
const lowerUrl = url.toLowerCase();
|
||||
for (const hint of PLATFORM_URL_HINTS) {
|
||||
if (lowerUrl.includes(hint.hostPattern)) {
|
||||
// Make sure the host appears as a proper hostname segment (prevent
|
||||
// forged queries like ?next=https://api.openai.com from matching).
|
||||
const hostIndex = lowerUrl.indexOf(hint.hostPattern);
|
||||
if (hostIndex >= 0) {
|
||||
// Check that what precedes the host pattern is either the start
|
||||
// of the URL or a valid URL separator (:// or /).
|
||||
const preceding = lowerUrl[hostIndex - 1];
|
||||
if (hostIndex === 0 || preceding === '/' || preceding === ':') {
|
||||
return hint.platform;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
return undefined;
|
||||
}
|
||||
Vendored
+10
@@ -0,0 +1,10 @@
|
||||
export type ProxyLogUsageSource = 'upstream' | 'self-log' | 'unknown' | null;
|
||||
export type ParsedProxyLogMetadata = {
|
||||
clientKind: string | null;
|
||||
sessionId: string | null;
|
||||
downstreamPath: string | null;
|
||||
upstreamPath: string | null;
|
||||
usageSource: ProxyLogUsageSource;
|
||||
messageText: string;
|
||||
};
|
||||
export declare function parseProxyLogMetadata(rawMessage: string): ParsedProxyLogMetadata;
|
||||
@@ -0,0 +1,42 @@
|
||||
const METADATA_PREFIX_REGEX = /^\[(\w+):([^\]]*)\]\s*/i;
|
||||
export function parseProxyLogMetadata(rawMessage) {
|
||||
let remaining = rawMessage;
|
||||
let clientKind = null;
|
||||
let sessionId = null;
|
||||
let downstreamPath = null;
|
||||
let upstreamPath = null;
|
||||
let usageSource = null;
|
||||
while (true) {
|
||||
const match = remaining.match(METADATA_PREFIX_REGEX);
|
||||
if (!match)
|
||||
break;
|
||||
const key = match[1].toLowerCase();
|
||||
const value = match[2] || null;
|
||||
switch (key) {
|
||||
case 'client':
|
||||
clientKind = value;
|
||||
break;
|
||||
case 'session':
|
||||
sessionId = value;
|
||||
break;
|
||||
case 'downstream':
|
||||
downstreamPath = value;
|
||||
break;
|
||||
case 'upstream':
|
||||
upstreamPath = value;
|
||||
break;
|
||||
case 'usage':
|
||||
usageSource = value;
|
||||
break;
|
||||
}
|
||||
remaining = remaining.slice(match[0].length);
|
||||
}
|
||||
return {
|
||||
clientKind,
|
||||
sessionId,
|
||||
downstreamPath,
|
||||
upstreamPath,
|
||||
usageSource,
|
||||
messageText: remaining,
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,59 @@
|
||||
export type ProxyLogUsageSource = 'upstream' | 'self-log' | 'unknown' | null;
|
||||
|
||||
export type ParsedProxyLogMetadata = {
|
||||
clientKind: string | null;
|
||||
sessionId: string | null;
|
||||
downstreamPath: string | null;
|
||||
upstreamPath: string | null;
|
||||
usageSource: ProxyLogUsageSource;
|
||||
messageText: string;
|
||||
};
|
||||
|
||||
const METADATA_PREFIX_REGEX = /^\[(\w+):([^\]]*)\]\s*/i;
|
||||
|
||||
export function parseProxyLogMetadata(rawMessage: string): ParsedProxyLogMetadata {
|
||||
let remaining = rawMessage;
|
||||
|
||||
let clientKind: string | null = null;
|
||||
let sessionId: string | null = null;
|
||||
let downstreamPath: string | null = null;
|
||||
let upstreamPath: string | null = null;
|
||||
let usageSource: ProxyLogUsageSource = null;
|
||||
|
||||
while (true) {
|
||||
const match = remaining.match(METADATA_PREFIX_REGEX);
|
||||
if (!match) break;
|
||||
|
||||
const key = match[1].toLowerCase();
|
||||
const value = match[2] || null;
|
||||
|
||||
switch (key) {
|
||||
case 'client':
|
||||
clientKind = value;
|
||||
break;
|
||||
case 'session':
|
||||
sessionId = value;
|
||||
break;
|
||||
case 'downstream':
|
||||
downstreamPath = value;
|
||||
break;
|
||||
case 'upstream':
|
||||
upstreamPath = value;
|
||||
break;
|
||||
case 'usage':
|
||||
usageSource = value as ProxyLogUsageSource;
|
||||
break;
|
||||
}
|
||||
|
||||
remaining = remaining.slice(match[0].length);
|
||||
}
|
||||
|
||||
return {
|
||||
clientKind,
|
||||
sessionId,
|
||||
downstreamPath,
|
||||
upstreamPath,
|
||||
usageSource,
|
||||
messageText: remaining,
|
||||
};
|
||||
}
|
||||
+14
@@ -0,0 +1,14 @@
|
||||
export interface SiteInitializationPreset {
|
||||
id: string;
|
||||
platform: 'openai' | 'claude';
|
||||
defaultUrl: string;
|
||||
initialSegment: string;
|
||||
recommendedSkipModelFetch: boolean;
|
||||
recommendedModels: string[];
|
||||
}
|
||||
export declare function getSiteInitializationPreset(id: string): SiteInitializationPreset | undefined;
|
||||
export declare function listSiteInitializationPresets(): SiteInitializationPreset[];
|
||||
export declare function detectSiteInitializationPreset(url: string, knownPlatform?: string): {
|
||||
id: string;
|
||||
platform: 'openai' | 'claude';
|
||||
} | null;
|
||||
@@ -0,0 +1,156 @@
|
||||
const presets = [
|
||||
{
|
||||
id: 'codingplan-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://coding.dashscope.aliyuncs.com/v1',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['qwen3-coder-plus', 'qwen3.5-plus'],
|
||||
},
|
||||
{
|
||||
id: 'codingplan-claude',
|
||||
platform: 'claude',
|
||||
defaultUrl: 'https://coding.dashscope.aliyuncs.com/apps/anthropic',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['qwen3-coder-next', 'glm-5'],
|
||||
},
|
||||
{
|
||||
id: 'zhipu-coding-plan-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://open.bigmodel.cn/api/coding/paas/v4',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['glm-4.7', 'glm-4.6', 'glm-4.5', 'glm-4.5-air'],
|
||||
},
|
||||
{
|
||||
id: 'zhipu-coding-plan-claude',
|
||||
platform: 'claude',
|
||||
defaultUrl: 'https://open.bigmodel.cn/api/anthropic',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['glm-4.7', 'glm-4.6', 'glm-4.5', 'glm-4.5-air'],
|
||||
},
|
||||
{
|
||||
id: 'deepseek-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://api.deepseek.com/v1',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['deepseek-chat', 'deepseek-reasoner'],
|
||||
},
|
||||
{
|
||||
id: 'deepseek-claude',
|
||||
platform: 'claude',
|
||||
defaultUrl: 'https://api.deepseek.com/anthropic',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: [],
|
||||
},
|
||||
{
|
||||
id: 'moonshot-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://api.moonshot.cn/v1',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['kimi-k2.5', 'kimi-k2', 'kimi-k2-thinking'],
|
||||
},
|
||||
{
|
||||
id: 'moonshot-claude',
|
||||
platform: 'claude',
|
||||
defaultUrl: 'https://api.moonshot.cn/anthropic',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: [],
|
||||
},
|
||||
{
|
||||
id: 'minimax-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://api.minimaxi.com/v1',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: [],
|
||||
},
|
||||
{
|
||||
id: 'minimax-claude',
|
||||
platform: 'claude',
|
||||
defaultUrl: 'https://api.minimaxi.com/anthropic',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['MiniMax-M2.7', 'MiniMax-M2.5', 'MiniMax-M2.1'],
|
||||
},
|
||||
{
|
||||
id: 'modelscope-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://api-inference.modelscope.cn/v1',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: [
|
||||
'Qwen/Qwen3-32B',
|
||||
'Qwen/Qwen2.5-Coder-32B-Instruct',
|
||||
'deepseek-ai/DeepSeek-V3.2',
|
||||
],
|
||||
},
|
||||
{
|
||||
id: 'modelscope-claude',
|
||||
platform: 'claude',
|
||||
defaultUrl: 'https://api-inference.modelscope.cn',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: [],
|
||||
},
|
||||
{
|
||||
id: 'doubao-coding-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://ark.cn-beijing.volces.com/api/coding/v3',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['ark-code-latest', 'doubao-seed-2.0-code', 'doubao-seed-2.0-pro'],
|
||||
},
|
||||
];
|
||||
const urlMatchers = [
|
||||
{ urlPrefix: 'https://coding.dashscope.aliyuncs.com/v1', id: 'codingplan-openai', platform: 'openai' },
|
||||
{ urlPrefix: 'https://coding.dashscope.aliyuncs.com/apps/anthropic', id: 'codingplan-claude', platform: 'claude' },
|
||||
{ urlPrefix: 'https://open.bigmodel.cn/api/coding/paas/v4', id: 'zhipu-coding-plan-openai', platform: 'openai', stripTrailingSlash: true },
|
||||
{ urlPrefix: 'https://api.deepseek.com/v1', id: 'deepseek-openai', platform: 'openai' },
|
||||
{ urlPrefix: 'https://api.deepseek.com/anthropic', id: 'deepseek-claude', platform: 'claude' },
|
||||
{ urlPrefix: 'https://api.moonshot.cn/v1', id: 'moonshot-openai', platform: 'openai', stripTrailingSlash: true },
|
||||
{ urlPrefix: 'https://api.moonshot.cn/anthropic', id: 'moonshot-claude', platform: 'claude' },
|
||||
{ urlPrefix: 'https://api.minimaxi.com/v1', id: 'minimax-openai', platform: 'openai' },
|
||||
{ urlPrefix: 'https://api.minimaxi.com/anthropic', id: 'minimax-claude', platform: 'claude' },
|
||||
{ urlPrefix: 'https://api-inference.modelscope.cn/v1', id: 'modelscope-openai', platform: 'openai' },
|
||||
{ urlPrefix: 'https://api-inference.modelscope.cn', id: 'modelscope-claude', platform: 'claude' },
|
||||
{ urlPrefix: 'https://ark.cn-beijing.volces.com/api/coding/v3', id: 'doubao-coding-openai', platform: 'openai' },
|
||||
];
|
||||
// Canonical root → preset mapping for reselection when platform is known
|
||||
const rootReselect = [
|
||||
{ rootPrefix: 'https://api.deepseek.com', id: 'deepseek-openai' },
|
||||
{ rootPrefix: 'https://coding.dashscope.aliyuncs.com', id: 'codingplan-openai' },
|
||||
];
|
||||
export function getSiteInitializationPreset(id) {
|
||||
return presets.find((p) => p.id === id);
|
||||
}
|
||||
export function listSiteInitializationPresets() {
|
||||
return [...presets];
|
||||
}
|
||||
export function detectSiteInitializationPreset(url, knownPlatform) {
|
||||
// Try exact URL prefix matching
|
||||
const normalizedUrl = url.replace(/\/+$/, '');
|
||||
for (const matcher of urlMatchers) {
|
||||
const matchUrl = matcher.stripTrailingSlash ? normalizedUrl : url;
|
||||
if (matchUrl.startsWith(matcher.urlPrefix)) {
|
||||
return { id: matcher.id, platform: matcher.platform };
|
||||
}
|
||||
}
|
||||
// Reselect from canonical root when platform is known
|
||||
if (knownPlatform === 'openai') {
|
||||
for (const entry of rootReselect) {
|
||||
if (url.startsWith(entry.rootPrefix)) {
|
||||
const preset = getSiteInitializationPreset(entry.id);
|
||||
if (preset)
|
||||
return { id: preset.id, platform: preset.platform };
|
||||
}
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}
|
||||
@@ -0,0 +1,179 @@
|
||||
export interface SiteInitializationPreset {
|
||||
id: string;
|
||||
platform: 'openai' | 'claude';
|
||||
defaultUrl: string;
|
||||
initialSegment: string;
|
||||
recommendedSkipModelFetch: boolean;
|
||||
recommendedModels: string[];
|
||||
}
|
||||
|
||||
const presets: SiteInitializationPreset[] = [
|
||||
{
|
||||
id: 'codingplan-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://coding.dashscope.aliyuncs.com/v1',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['qwen3-coder-plus', 'qwen3.5-plus'],
|
||||
},
|
||||
{
|
||||
id: 'codingplan-claude',
|
||||
platform: 'claude',
|
||||
defaultUrl: 'https://coding.dashscope.aliyuncs.com/apps/anthropic',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['qwen3-coder-next', 'glm-5'],
|
||||
},
|
||||
{
|
||||
id: 'zhipu-coding-plan-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://open.bigmodel.cn/api/coding/paas/v4',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['glm-4.7', 'glm-4.6', 'glm-4.5', 'glm-4.5-air'],
|
||||
},
|
||||
{
|
||||
id: 'zhipu-coding-plan-claude',
|
||||
platform: 'claude',
|
||||
defaultUrl: 'https://open.bigmodel.cn/api/anthropic',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['glm-4.7', 'glm-4.6', 'glm-4.5', 'glm-4.5-air'],
|
||||
},
|
||||
{
|
||||
id: 'deepseek-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://api.deepseek.com/v1',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['deepseek-chat', 'deepseek-reasoner'],
|
||||
},
|
||||
{
|
||||
id: 'deepseek-claude',
|
||||
platform: 'claude',
|
||||
defaultUrl: 'https://api.deepseek.com/anthropic',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: [],
|
||||
},
|
||||
{
|
||||
id: 'moonshot-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://api.moonshot.cn/v1',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['kimi-k2.5', 'kimi-k2', 'kimi-k2-thinking'],
|
||||
},
|
||||
{
|
||||
id: 'moonshot-claude',
|
||||
platform: 'claude',
|
||||
defaultUrl: 'https://api.moonshot.cn/anthropic',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: [],
|
||||
},
|
||||
{
|
||||
id: 'minimax-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://api.minimaxi.com/v1',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: [],
|
||||
},
|
||||
{
|
||||
id: 'minimax-claude',
|
||||
platform: 'claude',
|
||||
defaultUrl: 'https://api.minimaxi.com/anthropic',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['MiniMax-M2.7', 'MiniMax-M2.5', 'MiniMax-M2.1'],
|
||||
},
|
||||
{
|
||||
id: 'modelscope-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://api-inference.modelscope.cn/v1',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: [
|
||||
'Qwen/Qwen3-32B',
|
||||
'Qwen/Qwen2.5-Coder-32B-Instruct',
|
||||
'deepseek-ai/DeepSeek-V3.2',
|
||||
],
|
||||
},
|
||||
{
|
||||
id: 'modelscope-claude',
|
||||
platform: 'claude',
|
||||
defaultUrl: 'https://api-inference.modelscope.cn',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: [],
|
||||
},
|
||||
{
|
||||
id: 'doubao-coding-openai',
|
||||
platform: 'openai',
|
||||
defaultUrl: 'https://ark.cn-beijing.volces.com/api/coding/v3',
|
||||
initialSegment: 'apikey',
|
||||
recommendedSkipModelFetch: true,
|
||||
recommendedModels: ['ark-code-latest', 'doubao-seed-2.0-code', 'doubao-seed-2.0-pro'],
|
||||
},
|
||||
];
|
||||
|
||||
const urlMatchers: Array<{
|
||||
urlPrefix: string;
|
||||
id: string;
|
||||
platform: 'openai' | 'claude';
|
||||
stripTrailingSlash?: boolean;
|
||||
}> = [
|
||||
{ urlPrefix: 'https://coding.dashscope.aliyuncs.com/v1', id: 'codingplan-openai', platform: 'openai' },
|
||||
{ urlPrefix: 'https://coding.dashscope.aliyuncs.com/apps/anthropic', id: 'codingplan-claude', platform: 'claude' },
|
||||
{ urlPrefix: 'https://open.bigmodel.cn/api/coding/paas/v4', id: 'zhipu-coding-plan-openai', platform: 'openai', stripTrailingSlash: true },
|
||||
{ urlPrefix: 'https://api.deepseek.com/v1', id: 'deepseek-openai', platform: 'openai' },
|
||||
{ urlPrefix: 'https://api.deepseek.com/anthropic', id: 'deepseek-claude', platform: 'claude' },
|
||||
{ urlPrefix: 'https://api.moonshot.cn/v1', id: 'moonshot-openai', platform: 'openai', stripTrailingSlash: true },
|
||||
{ urlPrefix: 'https://api.moonshot.cn/anthropic', id: 'moonshot-claude', platform: 'claude' },
|
||||
{ urlPrefix: 'https://api.minimaxi.com/v1', id: 'minimax-openai', platform: 'openai' },
|
||||
{ urlPrefix: 'https://api.minimaxi.com/anthropic', id: 'minimax-claude', platform: 'claude' },
|
||||
{ urlPrefix: 'https://api-inference.modelscope.cn/v1', id: 'modelscope-openai', platform: 'openai' },
|
||||
{ urlPrefix: 'https://api-inference.modelscope.cn', id: 'modelscope-claude', platform: 'claude' },
|
||||
{ urlPrefix: 'https://ark.cn-beijing.volces.com/api/coding/v3', id: 'doubao-coding-openai', platform: 'openai' },
|
||||
];
|
||||
|
||||
// Canonical root → preset mapping for reselection when platform is known
|
||||
const rootReselect: Array<{ rootPrefix: string; id: string }> = [
|
||||
{ rootPrefix: 'https://api.deepseek.com', id: 'deepseek-openai' },
|
||||
{ rootPrefix: 'https://coding.dashscope.aliyuncs.com', id: 'codingplan-openai' },
|
||||
];
|
||||
|
||||
export function getSiteInitializationPreset(id: string): SiteInitializationPreset | undefined {
|
||||
return presets.find((p) => p.id === id);
|
||||
}
|
||||
|
||||
export function listSiteInitializationPresets(): SiteInitializationPreset[] {
|
||||
return [...presets];
|
||||
}
|
||||
|
||||
export function detectSiteInitializationPreset(
|
||||
url: string,
|
||||
knownPlatform?: string,
|
||||
): { id: string; platform: 'openai' | 'claude' } | null {
|
||||
// Try exact URL prefix matching
|
||||
const normalizedUrl = url.replace(/\/+$/, '');
|
||||
for (const matcher of urlMatchers) {
|
||||
const matchUrl = matcher.stripTrailingSlash ? normalizedUrl : url;
|
||||
if (matchUrl.startsWith(matcher.urlPrefix)) {
|
||||
return { id: matcher.id, platform: matcher.platform };
|
||||
}
|
||||
}
|
||||
|
||||
// Reselect from canonical root when platform is known
|
||||
if (knownPlatform === 'openai') {
|
||||
for (const entry of rootReselect) {
|
||||
if (url.startsWith(entry.rootPrefix)) {
|
||||
const preset = getSiteInitializationPreset(entry.id);
|
||||
if (preset) return { id: preset.id, platform: preset.platform };
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return null;
|
||||
}
|
||||
Vendored
+7
@@ -0,0 +1,7 @@
|
||||
export interface PrimarySiteUrlAnalysis {
|
||||
canonicalUrl: string;
|
||||
persistedUrl: string;
|
||||
action: 'unchanged' | 'auto_strip_known_api_suffix' | 'preserve_api_path' | 'preserve_semantic_path' | 'preserve_unknown_path';
|
||||
matchedPath: string;
|
||||
}
|
||||
export declare function analyzePrimarySiteUrl(raw: string): PrimarySiteUrlAnalysis;
|
||||
@@ -0,0 +1,106 @@
|
||||
/**
|
||||
* Known API request path prefixes that should be auto-stripped to the host root
|
||||
* for persistence purposes. These are well-known endpoint paths that users paste
|
||||
* from upstream API documentation but should be stored as the base URL only.
|
||||
*/
|
||||
const knownSuffixPrefixes = ['/v1/', '/v2/', '/api/'];
|
||||
/**
|
||||
* Known semantic paths that should be preserved without warnings.
|
||||
* These are deliberate application routes rather than API endpoint paths.
|
||||
*/
|
||||
const semanticPathPrefixes = ['/backend-api/', '/apps/', '/coding/'];
|
||||
function isApiPathPrefix(pathname) {
|
||||
return pathname.startsWith('/api/') || pathname.startsWith('/v1/') || pathname.startsWith('/v2/');
|
||||
}
|
||||
function isSemanticPath(pathname) {
|
||||
return semanticPathPrefixes.some((prefix) => pathname.startsWith(prefix));
|
||||
}
|
||||
function hasKnownSuffixPrefix(pathname) {
|
||||
return knownSuffixPrefixes.some((prefix) => pathname.startsWith(prefix) || pathname.includes(prefix));
|
||||
}
|
||||
function normalizeUrl(raw) {
|
||||
if (!raw || typeof raw !== 'string')
|
||||
return '';
|
||||
let url = raw.trim();
|
||||
// Add scheme if missing
|
||||
if (!/^https?:\/\//i.test(url)) {
|
||||
url = 'https://' + url;
|
||||
}
|
||||
try {
|
||||
const parsed = new URL(url);
|
||||
let normalized = parsed.protocol + '//' + parsed.host + parsed.pathname;
|
||||
// Remove trailing slash (except for root)
|
||||
if (normalized.endsWith('/') && normalized !== parsed.protocol + '//' + parsed.host + '/') {
|
||||
normalized = normalized.slice(0, -1);
|
||||
}
|
||||
return normalized;
|
||||
}
|
||||
catch {
|
||||
// If URL parsing fails, return trimmed raw version
|
||||
return raw;
|
||||
}
|
||||
}
|
||||
export function analyzePrimarySiteUrl(raw) {
|
||||
if (!raw || typeof raw !== 'string' || raw.trim() === '') {
|
||||
return { canonicalUrl: '', persistedUrl: '', action: 'unchanged', matchedPath: '' };
|
||||
}
|
||||
const canonicalUrl = normalizeUrl(raw);
|
||||
// Try to parse the URL
|
||||
let url = raw.trim();
|
||||
if (!/^https?:\/\//i.test(url)) {
|
||||
url = 'https://' + url;
|
||||
}
|
||||
let parsed;
|
||||
try {
|
||||
parsed = new URL(url);
|
||||
}
|
||||
catch {
|
||||
return { canonicalUrl, persistedUrl: canonicalUrl, action: 'unchanged', matchedPath: '' };
|
||||
}
|
||||
const pathname = parsed.pathname.replace(/\/+$/, '') || '/';
|
||||
// Root URL - no path beyond /
|
||||
if (pathname === '/') {
|
||||
return {
|
||||
canonicalUrl,
|
||||
persistedUrl: canonicalUrl,
|
||||
action: 'unchanged',
|
||||
matchedPath: '/',
|
||||
};
|
||||
}
|
||||
// Known semantic paths (e.g., /backend-api/codex) - preserve as-is
|
||||
if (isSemanticPath(pathname)) {
|
||||
return {
|
||||
canonicalUrl,
|
||||
persistedUrl: canonicalUrl,
|
||||
action: 'preserve_semantic_path',
|
||||
matchedPath: pathname,
|
||||
};
|
||||
}
|
||||
// API-prefixed hostnames (e.g., api.example.com/api/v1/models) - preserve as warning
|
||||
const hostname = parsed.hostname;
|
||||
if ((hostname.startsWith('api.') || hostname.startsWith('gateway.')) && isApiPathPrefix(pathname)) {
|
||||
return {
|
||||
canonicalUrl,
|
||||
persistedUrl: canonicalUrl,
|
||||
action: 'preserve_api_path',
|
||||
matchedPath: pathname,
|
||||
};
|
||||
}
|
||||
// Known API request suffixes - auto-strip to root
|
||||
if (hasKnownSuffixPrefix(pathname)) {
|
||||
const rootUrl = parsed.protocol + '//' + parsed.host;
|
||||
return {
|
||||
canonicalUrl,
|
||||
persistedUrl: rootUrl,
|
||||
action: 'auto_strip_known_api_suffix',
|
||||
matchedPath: pathname,
|
||||
};
|
||||
}
|
||||
// Unknown non-root path - preserve as warning
|
||||
return {
|
||||
canonicalUrl,
|
||||
persistedUrl: canonicalUrl,
|
||||
action: 'preserve_unknown_path',
|
||||
matchedPath: pathname,
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,127 @@
|
||||
export interface PrimarySiteUrlAnalysis {
|
||||
canonicalUrl: string;
|
||||
persistedUrl: string;
|
||||
action: 'unchanged' | 'auto_strip_known_api_suffix' | 'preserve_api_path' | 'preserve_semantic_path' | 'preserve_unknown_path';
|
||||
matchedPath: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* Known API request path prefixes that should be auto-stripped to the host root
|
||||
* for persistence purposes. These are well-known endpoint paths that users paste
|
||||
* from upstream API documentation but should be stored as the base URL only.
|
||||
*/
|
||||
const knownSuffixPrefixes = ['/v1/', '/v2/', '/api/'];
|
||||
|
||||
/**
|
||||
* Known semantic paths that should be preserved without warnings.
|
||||
* These are deliberate application routes rather than API endpoint paths.
|
||||
*/
|
||||
const semanticPathPrefixes = ['/backend-api/', '/apps/', '/coding/'];
|
||||
|
||||
function isApiPathPrefix(pathname: string): boolean {
|
||||
return pathname.startsWith('/api/') || pathname.startsWith('/v1/') || pathname.startsWith('/v2/');
|
||||
}
|
||||
|
||||
function isSemanticPath(pathname: string): boolean {
|
||||
return semanticPathPrefixes.some((prefix) => pathname.startsWith(prefix));
|
||||
}
|
||||
|
||||
function hasKnownSuffixPrefix(pathname: string): boolean {
|
||||
return knownSuffixPrefixes.some((prefix) => pathname.startsWith(prefix) || pathname.includes(prefix));
|
||||
}
|
||||
|
||||
function normalizeUrl(raw: string): string {
|
||||
if (!raw || typeof raw !== 'string') return '';
|
||||
let url = raw.trim();
|
||||
|
||||
// Add scheme if missing
|
||||
if (!/^https?:\/\//i.test(url)) {
|
||||
url = 'https://' + url;
|
||||
}
|
||||
|
||||
try {
|
||||
const parsed = new URL(url);
|
||||
let normalized = parsed.protocol + '//' + parsed.host + parsed.pathname;
|
||||
// Remove trailing slash (except for root)
|
||||
if (normalized.endsWith('/') && normalized !== parsed.protocol + '//' + parsed.host + '/') {
|
||||
normalized = normalized.slice(0, -1);
|
||||
}
|
||||
return normalized;
|
||||
} catch {
|
||||
// If URL parsing fails, return trimmed raw version
|
||||
return raw;
|
||||
}
|
||||
}
|
||||
|
||||
export function analyzePrimarySiteUrl(raw: string): PrimarySiteUrlAnalysis {
|
||||
if (!raw || typeof raw !== 'string' || raw.trim() === '') {
|
||||
return { canonicalUrl: '', persistedUrl: '', action: 'unchanged', matchedPath: '' };
|
||||
}
|
||||
|
||||
const canonicalUrl = normalizeUrl(raw);
|
||||
|
||||
// Try to parse the URL
|
||||
let url = raw.trim();
|
||||
if (!/^https?:\/\//i.test(url)) {
|
||||
url = 'https://' + url;
|
||||
}
|
||||
|
||||
let parsed: URL;
|
||||
try {
|
||||
parsed = new URL(url);
|
||||
} catch {
|
||||
return { canonicalUrl, persistedUrl: canonicalUrl, action: 'unchanged', matchedPath: '' };
|
||||
}
|
||||
|
||||
const pathname = parsed.pathname.replace(/\/+$/, '') || '/';
|
||||
|
||||
// Root URL - no path beyond /
|
||||
if (pathname === '/') {
|
||||
return {
|
||||
canonicalUrl,
|
||||
persistedUrl: canonicalUrl,
|
||||
action: 'unchanged',
|
||||
matchedPath: '/',
|
||||
};
|
||||
}
|
||||
|
||||
// Known semantic paths (e.g., /backend-api/codex) - preserve as-is
|
||||
if (isSemanticPath(pathname)) {
|
||||
return {
|
||||
canonicalUrl,
|
||||
persistedUrl: canonicalUrl,
|
||||
action: 'preserve_semantic_path',
|
||||
matchedPath: pathname,
|
||||
};
|
||||
}
|
||||
|
||||
// API-prefixed hostnames (e.g., api.example.com/api/v1/models) - preserve as warning
|
||||
const hostname = parsed.hostname;
|
||||
if ((hostname.startsWith('api.') || hostname.startsWith('gateway.')) && isApiPathPrefix(pathname)) {
|
||||
return {
|
||||
canonicalUrl,
|
||||
persistedUrl: canonicalUrl,
|
||||
action: 'preserve_api_path',
|
||||
matchedPath: pathname,
|
||||
};
|
||||
}
|
||||
|
||||
// Known API request suffixes - auto-strip to root
|
||||
if (hasKnownSuffixPrefix(pathname)) {
|
||||
const rootUrl = parsed.protocol + '//' + parsed.host;
|
||||
return {
|
||||
canonicalUrl,
|
||||
persistedUrl: rootUrl,
|
||||
action: 'auto_strip_known_api_suffix',
|
||||
matchedPath: pathname,
|
||||
};
|
||||
}
|
||||
|
||||
// Unknown non-root path - preserve as warning
|
||||
return {
|
||||
canonicalUrl,
|
||||
persistedUrl: canonicalUrl,
|
||||
action: 'preserve_unknown_path',
|
||||
matchedPath: pathname,
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,6 @@
|
||||
export const ROUTE_DECISION_REFRESH_TASK_TYPE = 'route-decision.refresh';
|
||||
export function normalizeTokenRouteMode(routeMode) {
|
||||
if (routeMode === 'explicit_group')
|
||||
return 'explicit_group';
|
||||
return 'pattern';
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
export const ROUTE_DECISION_REFRESH_TASK_TYPE = 'route-decision.refresh';
|
||||
|
||||
export type RouteMode = 'pattern' | 'explicit_group';
|
||||
|
||||
export type RouteDecisionCandidate = {
|
||||
channelId: number;
|
||||
accountId: number;
|
||||
username: string;
|
||||
siteName: string;
|
||||
tokenName: string;
|
||||
priority: number;
|
||||
weight: number;
|
||||
eligible: boolean;
|
||||
recentlyFailed: boolean;
|
||||
avoidedByRecentFailure: boolean;
|
||||
probability: number;
|
||||
reason: string;
|
||||
};
|
||||
|
||||
export type RouteDecision = {
|
||||
requestedModel: string;
|
||||
actualModel: string;
|
||||
matched: boolean;
|
||||
selectedChannelId?: number;
|
||||
selectedLabel?: string;
|
||||
summary: string[];
|
||||
candidates: RouteDecisionCandidate[];
|
||||
};
|
||||
|
||||
export function normalizeTokenRouteMode(routeMode: unknown): RouteMode {
|
||||
if (routeMode === 'explicit_group') return 'explicit_group';
|
||||
return 'pattern';
|
||||
}
|
||||
@@ -0,0 +1,59 @@
|
||||
const REGEX_PREFIX = /^re:/i;
|
||||
export function isTokenRouteRegexPattern(pattern) {
|
||||
return REGEX_PREFIX.test(pattern.trim());
|
||||
}
|
||||
export function isExactTokenRouteModelPattern(pattern) {
|
||||
const trimmed = pattern.trim();
|
||||
if (!trimmed)
|
||||
return false;
|
||||
if (REGEX_PREFIX.test(trimmed))
|
||||
return false;
|
||||
return !/[?*]/.test(trimmed);
|
||||
}
|
||||
export function parseTokenRouteRegexPattern(pattern) {
|
||||
const match = REGEX_PREFIX.exec(pattern.trim());
|
||||
if (!match) {
|
||||
return { regex: null, error: 'Pattern does not start with re:' };
|
||||
}
|
||||
const regexBody = pattern.slice(match[0].length);
|
||||
if (!regexBody) {
|
||||
return { regex: null, error: 'Empty regex pattern' };
|
||||
}
|
||||
// Safety validation: reject lookahead/lookbehind/non-capturing groups
|
||||
if (/\(\?/.test(regexBody)) {
|
||||
return { regex: null, error: 'Unsupported regex construct (?…)' };
|
||||
}
|
||||
// Reject non-digit, non-dot backslash shorthands (e.g. \s, \w, \b)
|
||||
if (/\\[a-ce-z]/i.test(regexBody)) {
|
||||
return { regex: null, error: 'Unsupported regex escape sequence' };
|
||||
}
|
||||
try {
|
||||
const regex = new RegExp(regexBody);
|
||||
return { regex: { test: (value) => regex.test(value) }, error: null };
|
||||
}
|
||||
catch {
|
||||
return { regex: null, error: 'Invalid regex pattern' };
|
||||
}
|
||||
}
|
||||
export function matchesTokenRouteModelPattern(model, pattern) {
|
||||
const trimmedModel = model.trim();
|
||||
const trimmedPattern = pattern.trim();
|
||||
if (!trimmedModel || !trimmedPattern)
|
||||
return false;
|
||||
// Regex pattern
|
||||
if (REGEX_PREFIX.test(trimmedPattern)) {
|
||||
const parsed = parseTokenRouteRegexPattern(trimmedPattern);
|
||||
if (!parsed.regex)
|
||||
return false;
|
||||
return parsed.regex.test(trimmedModel);
|
||||
}
|
||||
// Glob pattern (contains * or ?)
|
||||
if (trimmedPattern.includes('*') || trimmedPattern.includes('?')) {
|
||||
// Escape all regex special characters first, then convert glob patterns
|
||||
const escaped = trimmedPattern.replace(/[.+^${}()|[\]\\]/g, '\\$&');
|
||||
const globRegex = new RegExp(`^${escaped.replace(/\*/g, '.*').replace(/\?/g, '.')}$`);
|
||||
return globRegex.test(trimmedModel);
|
||||
}
|
||||
// Exact match (bracket prefix is literal, e.g. [NV]model-name)
|
||||
return trimmedModel === trimmedPattern;
|
||||
}
|
||||
@@ -0,0 +1,74 @@
|
||||
export type TokenRoutePatternMatcher = {
|
||||
test(value: string): boolean;
|
||||
};
|
||||
|
||||
const REGEX_PREFIX = /^re:/i;
|
||||
|
||||
export function isTokenRouteRegexPattern(pattern: string): boolean {
|
||||
return REGEX_PREFIX.test(pattern.trim());
|
||||
}
|
||||
|
||||
export function isExactTokenRouteModelPattern(pattern: string): boolean {
|
||||
const trimmed = pattern.trim();
|
||||
if (!trimmed) return false;
|
||||
if (REGEX_PREFIX.test(trimmed)) return false;
|
||||
return !/[?*]/.test(trimmed);
|
||||
}
|
||||
|
||||
export function parseTokenRouteRegexPattern(pattern: string): {
|
||||
regex: TokenRoutePatternMatcher | null;
|
||||
error: string | null;
|
||||
} {
|
||||
const match = REGEX_PREFIX.exec(pattern.trim());
|
||||
if (!match) {
|
||||
return { regex: null, error: 'Pattern does not start with re:' };
|
||||
}
|
||||
|
||||
const regexBody = pattern.slice(match[0].length);
|
||||
|
||||
if (!regexBody) {
|
||||
return { regex: null, error: 'Empty regex pattern' };
|
||||
}
|
||||
|
||||
// Safety validation: reject lookahead/lookbehind/non-capturing groups
|
||||
if (/\(\?/.test(regexBody)) {
|
||||
return { regex: null, error: 'Unsupported regex construct (?…)' };
|
||||
}
|
||||
|
||||
// Reject non-digit, non-dot backslash shorthands (e.g. \s, \w, \b)
|
||||
if (/\\[a-ce-z]/i.test(regexBody)) {
|
||||
return { regex: null, error: 'Unsupported regex escape sequence' };
|
||||
}
|
||||
|
||||
try {
|
||||
const regex = new RegExp(regexBody);
|
||||
return { regex: { test: (value: string) => regex.test(value) }, error: null };
|
||||
} catch {
|
||||
return { regex: null, error: 'Invalid regex pattern' };
|
||||
}
|
||||
}
|
||||
|
||||
export function matchesTokenRouteModelPattern(model: string, pattern: string): boolean {
|
||||
const trimmedModel = model.trim();
|
||||
const trimmedPattern = pattern.trim();
|
||||
|
||||
if (!trimmedModel || !trimmedPattern) return false;
|
||||
|
||||
// Regex pattern
|
||||
if (REGEX_PREFIX.test(trimmedPattern)) {
|
||||
const parsed = parseTokenRouteRegexPattern(trimmedPattern);
|
||||
if (!parsed.regex) return false;
|
||||
return parsed.regex.test(trimmedModel);
|
||||
}
|
||||
|
||||
// Glob pattern (contains * or ?)
|
||||
if (trimmedPattern.includes('*') || trimmedPattern.includes('?')) {
|
||||
// Escape all regex special characters first, then convert glob patterns
|
||||
const escaped = trimmedPattern.replace(/[.+^${}()|[\]\\]/g, '\\$&');
|
||||
const globRegex = new RegExp(`^${escaped.replace(/\*/g, '.*').replace(/\?/g, '.')}$`);
|
||||
return globRegex.test(trimmedModel);
|
||||
}
|
||||
|
||||
// Exact match (bracket prefix is literal, e.g. [NV]model-name)
|
||||
return trimmedModel === trimmedPattern;
|
||||
}
|
||||
@@ -0,0 +1,7 @@
|
||||
export {
|
||||
buildUpdateReminderCandidateKey,
|
||||
compareStableVersions,
|
||||
isSameImageTarget,
|
||||
normalizeStableVersion,
|
||||
resolveUpdateReminderCandidate,
|
||||
} from '../server/shared/updateCenterReminder.js';
|
||||
Reference in New Issue
Block a user