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Refactor error handling to config-driven approach with centralized error rules

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Made-with: Cursor
This commit is contained in:
decolua
2026-04-15 10:45:46 +07:00
parent b1288c5064
commit b669b6ffc1
20 changed files with 1056 additions and 991 deletions
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60
open-sse/config/providerModels.js
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@@ -1,5 +1,5 @@
import { PROVIDERS } from "./providers.js";
import { GOOGLE_TTS_LANGUAGES } from "./googleTtsLanguages.js";
import { buildTtsProviderModels } from "./ttsModels.js";
// Provider models - Single source of truth
// Key = alias (cc, cx, gc, qw, if, ag, gh for OAuth; id for API Key)
@@ -144,10 +144,10 @@ export const PROVIDER_MODELS = {
{ id: "deepseek/deepseek-reasoner", name: "DeepSeek Reasoner" },
],
oc: [ // OpenCode
{ id: "nemotron-3-super-free", name: "Nemotron 3 Super" },
// { id: "nemotron-3-super-free", name: "Nemotron 3 Super" },
// { id: "qwen3.6-plus-free", name: "Qwen 3.6 Plus" },
// { id: "big-pickle", name: "Big Pickle", targetFormat: "claude" },
{ id: "minimax-m2.5-free", name: "MiniMax M2.5", targetFormat: "claude" },
// { id: "minimax-m2.5-free", name: "MiniMax M2.5", targetFormat: "claude" },
// { id: "trinity-large-preview-free", name: "Trinity Large Preview" },
],
@@ -230,6 +230,10 @@ export const PROVIDER_MODELS = {
{ id: "perplexity/pplx-embed-v1-4b", name: "Perplexity Embed V1 4B", type: "embedding" },
{ id: "perplexity/pplx-embed-v1-0.6b", name: "Perplexity Embed V1 0.6B", type: "embedding" },
{ id: "nvidia/llama-nemotron-embed-vl-1b-v2:free", name: "NVIDIA Nemotron Embed VL 1B V2 (Free)", type: "embedding" },
// TTS models
{ id: "openai/gpt-4o-mini-tts", name: "GPT-4o Mini TTS", type: "tts" },
{ id: "openai/tts-1-hd", name: "TTS-1 HD", type: "tts" },
{ id: "openai/tts-1", name: "TTS-1", type: "tts" },
],
glm: [
{ id: "glm-5.1", name: "GLM 5.1" },
@@ -377,54 +381,8 @@ export const PROVIDER_MODELS = {
{ id: "zai-org/glm-5-maas", name: "GLM-5 (Vertex)" },
],
// Free/noAuth TTS providers
"local-device": [
{ id: "default", name: "System Default Voice", type: "tts" },
],
"google-tts": GOOGLE_TTS_LANGUAGES,
// OpenAI TTS voices (hardcoded — no public API to list them)
// Used by ttsCore.js when provider = openai
"openai-tts-voices": [
{ id: "alloy", name: "Alloy", type: "tts" },
{ id: "ash", name: "Ash", type: "tts" },
{ id: "ballad", name: "Ballad", type: "tts" },
{ id: "cedar", name: "Cedar", type: "tts" },
{ id: "coral", name: "Coral", type: "tts" },
{ id: "echo", name: "Echo", type: "tts" },
{ id: "fable", name: "Fable", type: "tts" },
{ id: "marin", name: "Marin", type: "tts" },
{ id: "nova", name: "Nova", type: "tts" },
{ id: "onyx", name: "Onyx", type: "tts" },
{ id: "sage", name: "Sage", type: "tts" },
{ id: "shimmer", name: "Shimmer", type: "tts" },
{ id: "verse", name: "Verse", type: "tts" },
],
// OpenAI TTS models
"openai-tts-models": [
{ id: "gpt-4o-mini-tts", name: "GPT-4o Mini TTS", type: "tts" },
{ id: "tts-1-hd", name: "TTS-1 HD", type: "tts" },
{ id: "tts-1", name: "TTS-1", type: "tts" },
],
// ElevenLabs TTS models
"elevenlabs-tts-models": [
{ id: "eleven_flash_v2_5", name: "Flash v2.5 (Fastest)", type: "tts" },
{ id: "eleven_turbo_v2_5", name: "Turbo v2.5 (Fast)", type: "tts" },
{ id: "eleven_multilingual_v2", name: "Multilingual v2 (Quality)", type: "tts" },
{ id: "eleven_monolingual_v1", name: "Monolingual v1 (English)", type: "tts" },
],
"edge-tts": [
{ id: "en-US-AriaNeural", name: "Aria (en-US)", type: "tts" },
{ id: "en-US-GuyNeural", name: "Guy (en-US)", type: "tts" },
{ id: "en-GB-SoniaNeural", name: "Sonia (en-GB)", type: "tts" },
{ id: "vi-VN-HoaiMyNeural", name: "Hoai My (vi-VN)", type: "tts" },
{ id: "vi-VN-NamMinhNeural", name: "Nam Minh (vi-VN)", type: "tts" },
{ id: "zh-CN-XiaoxiaoNeural", name: "Xiaoxiao (zh-CN)", type: "tts" },
{ id: "zh-CN-YunxiNeural", name: "Yunxi (zh-CN)", type: "tts" },
{ id: "fr-FR-DeniseNeural", name: "Denise (fr-FR)", type: "tts" },
{ id: "de-DE-KatjaNeural", name: "Katja (de-DE)", type: "tts" },
{ id: "ja-JP-NanamiNeural", name: "Nanami (ja-JP)", type: "tts" },
{ id: "ko-KR-SunHiNeural", name: "SunHi (ko-KR)", type: "tts" },
],
// TTS entries are loaded from ttsModels.js via buildTtsProviderModels()
...buildTtsProviderModels(),
};
// Helper functions