refactor(open-sse): registry consolidation + DRY media/oauth/adhoc cleanup

- Single-source registry: oauth clientId/tokenUrl, usage URLs, image/embed
  configs, search defaultModel, codex fixedPort, google token url derive.
- Remove 29 unused OmniRoute providers (registry 100→71); media intact.
- De-adhoc: codex literals → registry format/oauth flags; reasoningInject,
  image/embed openrouter headers + xai bodyFields config-driven.
- Add REGISTRY_TEMPLATE.js + expand PROVIDER_DEFAULTS/schema JSDoc.
- Baselines updated; PROVIDERS 62 + alias 90 byte-for-byte, golden snapshots.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
decolua
2026-06-14 13:15:48 +07:00
parent 9105dd0e25
commit bb9e9aa91f
166 changed files with 3089 additions and 3067 deletions

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@@ -2,7 +2,11 @@ import { convertResponsesStreamToJson } from "../../transformer/streamToJsonConv
import { createErrorResult } from "../../utils/error.js";
import { HTTP_STATUS } from "../../config/runtimeConfig.js";
import { FORMATS } from "../../translator/formats.js";
import { PROVIDERS } from "../../config/providers.js";
import { buildRequestDetail, extractRequestConfig, saveUsageStats } from "./requestDetail.js";
// Responses-API providers (e.g. codex) may emit SSE without content-type + use Responses output shape
const isResponsesProvider = (p) => PROVIDERS[p]?.format === FORMATS.OPENAI_RESPONSES;
import { saveRequestDetail, appendRequestLog } from "@/lib/usageDb.js";
function textFromResponsesMessageItem(item) {
@@ -100,7 +104,7 @@ export function parseSSEToOpenAIResponse(rawSSE, fallbackModel) {
*/
export async function handleForcedSSEToJson({ providerResponse, sourceFormat, provider, model, body, stream, translatedBody, finalBody, requestStartTime, connectionId, apiKey, clientRawRequest, onRequestSuccess, trackDone, appendLog }) {
const contentType = providerResponse.headers.get("content-type") || "";
const isSSE = contentType.includes("text/event-stream") || (contentType === "" && provider === "codex");
const isSSE = contentType.includes("text/event-stream") || (contentType === "" && isResponsesProvider(provider));
if (!isSSE) return null; // not handled here
trackDone();
@@ -112,7 +116,7 @@ export async function handleForcedSSEToJson({ providerResponse, sourceFormat, pr
};
// Codex/Responses API SSE path
const isCodexResponsesApi = provider === "codex" || sourceFormat === FORMATS.OPENAI_RESPONSES;
const isCodexResponsesApi = isResponsesProvider(provider) || sourceFormat === FORMATS.OPENAI_RESPONSES;
if (isCodexResponsesApi) {
try {
const jsonResponse = await convertResponsesStreamToJson(providerResponse.body);

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@@ -9,20 +9,27 @@ import { buildRequestDetail, extractRequestConfig, saveUsageStats } from "./requ
import { saveRequestDetail } from "@/lib/usageDb.js";
import { SSE_HEADERS_CORS as SSE_HEADERS } from "../../utils/sseConstants.js";
// Codex returns Responses API SSE → which client format to translate INTO, by request sourceFormat.
// Gemini-family all map to ANTIGRAVITY decoder; unknown sources fall back to OPENAI.
const CODEX_SOURCE_TO_TARGET = {
[FORMATS.OPENAI_RESPONSES]: FORMATS.OPENAI_RESPONSES,
[FORMATS.CLAUDE]: FORMATS.CLAUDE,
[FORMATS.ANTIGRAVITY]: FORMATS.ANTIGRAVITY,
[FORMATS.GEMINI]: FORMATS.ANTIGRAVITY,
[FORMATS.GEMINI_CLI]: FORMATS.ANTIGRAVITY,
};
/**
* Determine which SSE transform stream to use based on provider/format.
*/
function buildTransformStream({ provider, sourceFormat, targetFormat, userAgent, reqLogger, toolNameMap, model, connectionId, body, onStreamComplete, apiKey }) {
const isDroidCLI = userAgent?.toLowerCase().includes("droid") || userAgent?.toLowerCase().includes("codex-cli");
const needsCodexTranslation = provider === "codex" && targetFormat === FORMATS.OPENAI_RESPONSES && !isDroidCLI;
// Responses-API providers (e.g. codex) emit Responses SSE → translate into client format
const isResponsesProvider = PROVIDERS[provider]?.format === FORMATS.OPENAI_RESPONSES;
const needsCodexTranslation = isResponsesProvider && targetFormat === FORMATS.OPENAI_RESPONSES && !isDroidCLI;
if (needsCodexTranslation) {
// Codex returns Responses API SSE → translate to client format
let codexTarget;
if (sourceFormat === FORMATS.OPENAI_RESPONSES) codexTarget = FORMATS.OPENAI_RESPONSES;
else if (sourceFormat === FORMATS.CLAUDE) codexTarget = FORMATS.CLAUDE;
else if (sourceFormat === FORMATS.ANTIGRAVITY || sourceFormat === FORMATS.GEMINI || sourceFormat === FORMATS.GEMINI_CLI) codexTarget = FORMATS.ANTIGRAVITY;
else codexTarget = FORMATS.OPENAI;
const codexTarget = CODEX_SOURCE_TO_TARGET[sourceFormat] || FORMATS.OPENAI;
return createSSETransformStreamWithLogger(FORMATS.OPENAI_RESPONSES, codexTarget, provider, reqLogger, toolNameMap, model, connectionId, body, onStreamComplete, apiKey);
}

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@@ -1,30 +1,22 @@
// OpenAI-compatible embeddings adapter (most providers)
import { bearerAuth } from "./_base.js";
import { PROVIDER_MEDIA } from "../../providers/index.js";
// media-only providers without a registry file keep URL here; rest derive from registry media.embeddingConfig.baseUrl
const ENDPOINTS = {
openai: "https://api.openai.com/v1/embeddings",
openrouter: "https://openrouter.ai/api/v1/embeddings",
mistral: "https://api.mistral.ai/v1/embeddings",
"voyage-ai": "https://api.voyageai.com/v1/embeddings",
fireworks: "https://api.fireworks.ai/inference/v1/embeddings",
together: "https://api.together.xyz/v1/embeddings",
nebius: "https://api.tokenfactory.nebius.com/v1/embeddings",
github: "https://models.github.ai/inference/embeddings",
nvidia: "https://integrate.api.nvidia.com/v1/embeddings",
"jina-ai": "https://api.jina.ai/v1/embeddings",
"vercel-ai-gateway": "https://ai-gateway.vercel.sh/v1/embeddings",
};
const embedCfg = (id) => PROVIDER_MEDIA[id]?.embeddingConfig || {};
const embedUrl = (id) => embedCfg(id).baseUrl || ENDPOINTS[id];
export default function createOpenAIEmbeddingAdapter(providerId) {
const cfg = embedCfg(providerId);
return {
buildUrl: () => ENDPOINTS[providerId],
buildUrl: () => embedUrl(providerId),
buildHeaders: (creds) => {
const headers = { "Content-Type": "application/json", ...bearerAuth(creds) };
if (providerId === "openrouter") {
headers["HTTP-Referer"] = "https://endpoint-proxy.local";
headers["X-Title"] = "Endpoint Proxy";
}
return headers;
return { "Content-Type": "application/json", ...bearerAuth(creds), ...(cfg.headers || {}) };
},
buildBody: (model, { input, encoding_format, dimensions }) => {
const body = { model, input };

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@@ -1,8 +1,9 @@
// Codex (ChatGPT Plus/Pro) image generation via Responses API + SSE
import { randomUUID } from "node:crypto";
import { nowSec } from "./_base.js";
import { PROVIDERS } from "../../config/providers.js";
const CODEX_RESPONSES_URL = "https://chatgpt.com/backend-api/codex/responses";
const CODEX_RESPONSES_URL = PROVIDERS["codex"].baseUrl;
const CODEX_USER_AGENT = "codex_cli_rs/0.136.0";
const CODEX_VERSION = "0.136.0";
const CODEX_ORIGINATOR = "codex_cli_rs";

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@@ -1,40 +1,37 @@
// OpenAI-compatible adapter (used by openai, minimax, openrouter, recraft)
import { PROVIDER_MEDIA } from "../../providers/index.js";
// media-only providers without a registry file keep their URL here; rest derive from registry media.imageConfig.baseUrl
const ENDPOINTS = {
openai: "https://api.openai.com/v1/images/generations",
minimax: "https://api.minimaxi.com/v1/images/generations",
openrouter: "https://openrouter.ai/api/v1/images/generations",
recraft: "https://external.api.recraft.ai/v1/images/generations",
"vercel-ai-gateway": "https://ai-gateway.vercel.sh/v1/images/generations",
xai: "https://api.x.ai/v1/images/generations",
};
const imageCfg = (id) => PROVIDER_MEDIA[id]?.imageConfig || {};
const imageUrl = (id) => imageCfg(id).baseUrl || ENDPOINTS[id];
export default function createOpenAIAdapter(providerId) {
const cfg = imageCfg(providerId);
return {
buildUrl: () => ENDPOINTS[providerId],
buildUrl: () => imageUrl(providerId),
buildHeaders: (creds) => {
const headers = { "Content-Type": "application/json" };
const headers = { "Content-Type": "application/json", ...(cfg.headers || {}) };
const key = creds?.apiKey || creds?.accessToken;
if (key) headers["Authorization"] = `Bearer ${key}`;
if (providerId === "openrouter") {
headers["HTTP-Referer"] = "https://endpoint-proxy.local";
headers["X-Title"] = "Endpoint Proxy";
}
return headers;
},
buildBody: (model, body) => {
const { prompt, n = 1, size = "1024x1024", quality, style, response_format } = body;
// xAI only accepts prompt, model, n, response_format
if (providerId === "xai") {
const req = { model, prompt, n };
if (response_format) req.response_format = response_format;
const full = { model, prompt, n, size };
if (quality) full.quality = quality;
if (style) full.style = style;
if (response_format) full.response_format = response_format;
// bodyFields whitelist (e.g. xAI accepts only model/prompt/n/response_format)
if (Array.isArray(cfg.bodyFields)) {
const req = {};
for (const f of cfg.bodyFields) if (full[f] !== undefined) req[f] = full[f];
return req;
}
const req = { model, prompt, n, size };
if (quality) req.quality = quality;
if (style) req.style = style;
if (response_format) req.response_format = response_format;
return req;
return full;
},
normalize: (responseBody) => responseBody,
};

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@@ -2,6 +2,10 @@
* Wrap chat-completions endpoints (with built-in web search) into the unified
* /v1/search response format. Supports gemini, openai, xai, kimi, minimax, perplexity.
*/
import { PROVIDER_MEDIA } from "../../providers/index.js";
// Default search model derives from registry searchViaChat (single source)
const searchModel = (id) => PROVIDER_MEDIA[id]?.searchViaChat?.defaultModel;
const REQUEST_TIMEOUT_MS = 15000;
const DEFAULT_MAX_RESULTS = 10;
@@ -45,7 +49,6 @@ const CHAT_SEARCH_CONFIG = {
gemini: {
endpoint: (model) =>
`https://generativelanguage.googleapis.com/v1beta/models/${model}:generateContent`,
defaultModel: "gemini-2.5-flash",
buildBody: (query) => ({
contents: [{ role: "user", parts: [{ text: query }] }],
tools: [{ google_search: {} }]
@@ -71,7 +74,6 @@ const CHAT_SEARCH_CONFIG = {
openai: {
endpoint: () => "https://api.openai.com/v1/chat/completions",
defaultModel: "gpt-4o-mini",
buildBody: (query, model) => {
const body = {
model,
@@ -106,7 +108,6 @@ const CHAT_SEARCH_CONFIG = {
xai: {
endpoint: () => "https://api.x.ai/v1/responses",
defaultModel: "grok-4.20-reasoning",
buildBody: (query, model) => ({
model,
input: [{ role: "user", content: query }],
@@ -146,7 +147,6 @@ const CHAT_SEARCH_CONFIG = {
kimi: {
endpoint: () => "https://api.moonshot.cn/v1/chat/completions",
defaultModel: "kimi-k2.5",
buildBody: (query, model) => ({
model,
messages: [{ role: "user", content: query }],
@@ -196,7 +196,6 @@ const CHAT_SEARCH_CONFIG = {
minimax: {
endpoint: () => "https://api.minimaxi.com/v1/text/chatcompletion_v2",
defaultModel: "MiniMax-M2.7",
buildBody: (query, model) => ({
model,
messages: [{ role: "user", content: query }],
@@ -255,7 +254,6 @@ const CHAT_SEARCH_CONFIG = {
perplexity: {
endpoint: () => "https://api.perplexity.ai/chat/completions",
defaultModel: "sonar",
buildBody: (query, model) => ({
model,
messages: [{ role: "user", content: query }]
@@ -324,7 +322,7 @@ export async function handleChatSearch({
Number.isFinite(maxResults) && maxResults > 0
? Math.floor(maxResults)
: DEFAULT_MAX_RESULTS;
const useModel = model || cfg.defaultModel;
const useModel = model || searchModel(provider);
const url = cfg.endpoint(useModel);
const body = cfg.buildBody(query, useModel);
const headers = cfg.buildHeaders(token);

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@@ -1,9 +1,10 @@
// Gemini TTS — generateContent with AUDIO modality returns PCM L16, wrap as WAV
import { Buffer } from "node:buffer";
import { PROVIDER_MEDIA } from "../../providers/index.js";
const DEFAULT_MODEL = "gemini-2.5-flash-preview-tts";
const KNOWN_MODELS = (PROVIDER_MEDIA["gemini"]?.ttsConfig?.models || []).map((m) => m.id);
const DEFAULT_MODEL = KNOWN_MODELS[0];
const DEFAULT_VOICE = "Kore";
const KNOWN_MODELS = ["gemini-2.5-flash-preview-tts", "gemini-2.5-pro-preview-tts"];
// Parse "model/voice" — if input doesn't match a known TTS model, treat it as voice with default model
function parseGeminiModelVoice(input) {

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@@ -1,11 +1,14 @@
// OpenAI TTS — model format: "tts-model/voice"
import { Buffer } from "node:buffer";
import { PROVIDER_MEDIA } from "../../providers/index.js";
const DEFAULT_TTS_MODEL = PROVIDER_MEDIA["openai"]?.ttsConfig?.defaultModel;
export default {
async synthesize(text, model, credentials) {
if (!credentials?.apiKey) throw new Error("No OpenAI API key configured");
let ttsModel = "gpt-4o-mini-tts";
let ttsModel = DEFAULT_TTS_MODEL;
let voice = "alloy";
if (model && model.includes("/")) {
const parts = model.split("/");