mirror of
https://github.com/CJackHwang/ds2api.git
synced 2026-05-02 07:25:26 +08:00
709 lines
20 KiB
JavaScript
709 lines
20 KiB
JavaScript
'use strict';
|
|
|
|
const {
|
|
extractToolNames,
|
|
createToolSieveState,
|
|
processToolSieveChunk,
|
|
flushToolSieve,
|
|
formatOpenAIStreamToolCalls,
|
|
} = require('./helpers/stream-tool-sieve');
|
|
|
|
const DEEPSEEK_COMPLETION_URL = 'https://chat.deepseek.com/api/v0/chat/completion';
|
|
|
|
const BASE_HEADERS = {
|
|
Host: 'chat.deepseek.com',
|
|
'User-Agent': 'DeepSeek/1.6.11 Android/35',
|
|
Accept: 'application/json',
|
|
'Content-Type': 'application/json',
|
|
'x-client-platform': 'android',
|
|
'x-client-version': '1.6.11',
|
|
'x-client-locale': 'zh_CN',
|
|
'accept-charset': 'UTF-8',
|
|
};
|
|
|
|
const SKIP_PATTERNS = [
|
|
'quasi_status',
|
|
'elapsed_secs',
|
|
'token_usage',
|
|
'pending_fragment',
|
|
'conversation_mode',
|
|
'fragments/-1/status',
|
|
'fragments/-2/status',
|
|
'fragments/-3/status',
|
|
];
|
|
|
|
module.exports = async function handler(req, res) {
|
|
setCorsHeaders(res);
|
|
if (req.method === 'OPTIONS') {
|
|
res.statusCode = 204;
|
|
res.end();
|
|
return;
|
|
}
|
|
if (req.method !== 'POST') {
|
|
writeOpenAIError(res, 405, 'method not allowed');
|
|
return;
|
|
}
|
|
|
|
const rawBody = await readRawBody(req);
|
|
|
|
// Hard guard: only use Node data path for streaming on Vercel runtime.
|
|
// Any non-Vercel runtime always falls back to Go for full behavior parity.
|
|
if (!isVercelRuntime()) {
|
|
await proxyToGo(req, res, rawBody);
|
|
return;
|
|
}
|
|
|
|
let payload;
|
|
try {
|
|
payload = JSON.parse(rawBody.toString('utf8') || '{}');
|
|
} catch (_err) {
|
|
writeOpenAIError(res, 400, 'invalid json');
|
|
return;
|
|
}
|
|
|
|
// Keep all non-stream behavior on Go side to avoid compatibility regressions.
|
|
if (!toBool(payload.stream)) {
|
|
await proxyToGo(req, res, rawBody);
|
|
return;
|
|
}
|
|
|
|
const prep = await fetchStreamPrepare(req, rawBody);
|
|
if (!prep.ok) {
|
|
relayPreparedFailure(res, prep);
|
|
return;
|
|
}
|
|
|
|
const model = asString(prep.body.model) || asString(payload.model);
|
|
const sessionID = asString(prep.body.session_id) || `chatcmpl-${Date.now()}`;
|
|
const leaseID = asString(prep.body.lease_id);
|
|
const deepseekToken = asString(prep.body.deepseek_token);
|
|
const powHeader = asString(prep.body.pow_header);
|
|
const completionPayload = prep.body.payload && typeof prep.body.payload === 'object' ? prep.body.payload : null;
|
|
const finalPrompt = asString(prep.body.final_prompt);
|
|
const thinkingEnabled = toBool(prep.body.thinking_enabled);
|
|
const searchEnabled = toBool(prep.body.search_enabled);
|
|
const toolNames = extractToolNames(payload.tools);
|
|
|
|
if (!model || !leaseID || !deepseekToken || !powHeader || !completionPayload) {
|
|
writeOpenAIError(res, 500, 'invalid vercel prepare response');
|
|
return;
|
|
}
|
|
const releaseLease = createLeaseReleaser(req, leaseID);
|
|
try {
|
|
const completionRes = await fetch(DEEPSEEK_COMPLETION_URL, {
|
|
method: 'POST',
|
|
headers: {
|
|
...BASE_HEADERS,
|
|
authorization: `Bearer ${deepseekToken}`,
|
|
'x-ds-pow-response': powHeader,
|
|
},
|
|
body: JSON.stringify(completionPayload),
|
|
});
|
|
|
|
if (!completionRes.ok || !completionRes.body) {
|
|
const detail = await safeReadText(completionRes);
|
|
writeOpenAIError(res, 500, detail ? `Failed to get completion: ${detail}` : 'Failed to get completion.');
|
|
return;
|
|
}
|
|
|
|
res.statusCode = 200;
|
|
res.setHeader('Content-Type', 'text/event-stream');
|
|
res.setHeader('Cache-Control', 'no-cache, no-transform');
|
|
res.setHeader('Connection', 'keep-alive');
|
|
res.setHeader('X-Accel-Buffering', 'no');
|
|
if (typeof res.flushHeaders === 'function') {
|
|
res.flushHeaders();
|
|
}
|
|
|
|
const created = Math.floor(Date.now() / 1000);
|
|
let firstChunkSent = false;
|
|
let currentType = thinkingEnabled ? 'thinking' : 'text';
|
|
let thinkingText = '';
|
|
let outputText = '';
|
|
const toolSieveEnabled = toolNames.length > 0;
|
|
const toolSieveState = createToolSieveState();
|
|
let toolCallsEmitted = false;
|
|
const decoder = new TextDecoder();
|
|
const reader = completionRes.body.getReader();
|
|
let buffered = '';
|
|
let ended = false;
|
|
|
|
const sendFrame = (obj) => {
|
|
res.write(`data: ${JSON.stringify(obj)}\n\n`);
|
|
if (typeof res.flush === 'function') {
|
|
res.flush();
|
|
}
|
|
};
|
|
|
|
const sendDeltaFrame = (delta) => {
|
|
const payloadDelta = { ...delta };
|
|
if (!firstChunkSent) {
|
|
payloadDelta.role = 'assistant';
|
|
firstChunkSent = true;
|
|
}
|
|
sendFrame({
|
|
id: sessionID,
|
|
object: 'chat.completion.chunk',
|
|
created,
|
|
model,
|
|
choices: [{ delta: payloadDelta, index: 0 }],
|
|
});
|
|
};
|
|
|
|
const finish = async (reason) => {
|
|
if (ended) {
|
|
return;
|
|
}
|
|
ended = true;
|
|
if (toolSieveEnabled) {
|
|
const tailEvents = flushToolSieve(toolSieveState, toolNames);
|
|
for (const evt of tailEvents) {
|
|
if (evt.type === 'tool_calls') {
|
|
toolCallsEmitted = true;
|
|
sendDeltaFrame({ tool_calls: formatOpenAIStreamToolCalls(evt.calls) });
|
|
continue;
|
|
}
|
|
if (evt.text) {
|
|
sendDeltaFrame({ content: evt.text });
|
|
}
|
|
}
|
|
}
|
|
if (toolCallsEmitted) {
|
|
reason = 'tool_calls';
|
|
}
|
|
sendFrame({
|
|
id: sessionID,
|
|
object: 'chat.completion.chunk',
|
|
created,
|
|
model,
|
|
choices: [{ delta: {}, index: 0, finish_reason: reason }],
|
|
usage: buildUsage(finalPrompt, thinkingText, outputText),
|
|
});
|
|
res.write('data: [DONE]\n\n');
|
|
await releaseLease();
|
|
res.end();
|
|
};
|
|
|
|
try {
|
|
// eslint-disable-next-line no-constant-condition
|
|
while (true) {
|
|
const { value, done } = await reader.read();
|
|
if (done) {
|
|
break;
|
|
}
|
|
buffered += decoder.decode(value, { stream: true });
|
|
const lines = buffered.split('\n');
|
|
buffered = lines.pop() || '';
|
|
|
|
for (const rawLine of lines) {
|
|
const line = rawLine.trim();
|
|
if (!line.startsWith('data:')) {
|
|
continue;
|
|
}
|
|
const dataStr = line.slice(5).trim();
|
|
if (!dataStr) {
|
|
continue;
|
|
}
|
|
if (dataStr === '[DONE]') {
|
|
await finish('stop');
|
|
return;
|
|
}
|
|
let chunk;
|
|
try {
|
|
chunk = JSON.parse(dataStr);
|
|
} catch (_err) {
|
|
continue;
|
|
}
|
|
if (chunk.error || chunk.code === 'content_filter') {
|
|
await finish('content_filter');
|
|
return;
|
|
}
|
|
const parsed = parseChunkForContent(chunk, thinkingEnabled, currentType);
|
|
currentType = parsed.newType;
|
|
if (parsed.finished) {
|
|
await finish('stop');
|
|
return;
|
|
}
|
|
|
|
for (const p of parsed.parts) {
|
|
if (!p.text) {
|
|
continue;
|
|
}
|
|
if (searchEnabled && isCitation(p.text)) {
|
|
continue;
|
|
}
|
|
if (p.type === 'thinking') {
|
|
thinkingText += p.text;
|
|
sendDeltaFrame({ reasoning_content: p.text });
|
|
} else {
|
|
outputText += p.text;
|
|
if (!toolSieveEnabled) {
|
|
sendDeltaFrame({ content: p.text });
|
|
continue;
|
|
}
|
|
const events = processToolSieveChunk(toolSieveState, p.text, toolNames);
|
|
for (const evt of events) {
|
|
if (evt.type === 'tool_calls') {
|
|
toolCallsEmitted = true;
|
|
sendDeltaFrame({ tool_calls: formatOpenAIStreamToolCalls(evt.calls) });
|
|
continue;
|
|
}
|
|
if (evt.text) {
|
|
sendDeltaFrame({ content: evt.text });
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
await finish('stop');
|
|
} catch (_err) {
|
|
await finish('stop');
|
|
}
|
|
} finally {
|
|
await releaseLease();
|
|
}
|
|
};
|
|
|
|
function setCorsHeaders(res) {
|
|
res.setHeader('Access-Control-Allow-Origin', '*');
|
|
res.setHeader('Access-Control-Allow-Methods', 'GET, POST, OPTIONS, PUT, DELETE');
|
|
res.setHeader(
|
|
'Access-Control-Allow-Headers',
|
|
'Content-Type, Authorization, X-API-Key, X-Ds2-Target-Account, X-Vercel-Protection-Bypass',
|
|
);
|
|
}
|
|
|
|
function header(req, key) {
|
|
if (!req || !req.headers) {
|
|
return '';
|
|
}
|
|
return asString(req.headers[key.toLowerCase()]);
|
|
}
|
|
|
|
async function readRawBody(req) {
|
|
if (Buffer.isBuffer(req.body)) {
|
|
return req.body;
|
|
}
|
|
if (typeof req.body === 'string') {
|
|
return Buffer.from(req.body);
|
|
}
|
|
if (req.body && typeof req.body === 'object') {
|
|
return Buffer.from(JSON.stringify(req.body));
|
|
}
|
|
const chunks = [];
|
|
for await (const chunk of req) {
|
|
chunks.push(Buffer.isBuffer(chunk) ? chunk : Buffer.from(chunk));
|
|
}
|
|
return Buffer.concat(chunks);
|
|
}
|
|
|
|
async function fetchStreamPrepare(req, rawBody) {
|
|
const url = buildInternalGoURL(req);
|
|
url.searchParams.set('__stream_prepare', '1');
|
|
|
|
const upstream = await fetch(url.toString(), {
|
|
method: 'POST',
|
|
headers: buildInternalGoHeaders(req, { withInternalToken: true, withContentType: true }),
|
|
body: rawBody,
|
|
});
|
|
|
|
const text = await upstream.text();
|
|
let body = {};
|
|
try {
|
|
body = JSON.parse(text || '{}');
|
|
} catch (_err) {
|
|
body = {};
|
|
}
|
|
|
|
return {
|
|
ok: upstream.ok,
|
|
status: upstream.status,
|
|
contentType: upstream.headers.get('content-type') || 'application/json',
|
|
text,
|
|
body,
|
|
};
|
|
}
|
|
|
|
function relayPreparedFailure(res, prep) {
|
|
if (prep.status === 401 && looksLikeVercelAuthPage(prep.text)) {
|
|
writeOpenAIError(
|
|
res,
|
|
401,
|
|
'Vercel Deployment Protection blocked internal prepare request. Disable protection for this deployment or set VERCEL_AUTOMATION_BYPASS_SECRET.',
|
|
);
|
|
return;
|
|
}
|
|
res.statusCode = prep.status || 500;
|
|
res.setHeader('Content-Type', prep.contentType || 'application/json');
|
|
if (prep.text) {
|
|
res.end(prep.text);
|
|
return;
|
|
}
|
|
writeOpenAIError(res, prep.status || 500, 'vercel prepare failed');
|
|
}
|
|
|
|
async function safeReadText(resp) {
|
|
if (!resp) {
|
|
return '';
|
|
}
|
|
try {
|
|
const text = await resp.text();
|
|
return text.trim();
|
|
} catch (_err) {
|
|
return '';
|
|
}
|
|
}
|
|
|
|
function internalSecret() {
|
|
return asString(process.env.DS2API_VERCEL_INTERNAL_SECRET) || asString(process.env.DS2API_ADMIN_KEY) || 'admin';
|
|
}
|
|
|
|
function buildInternalGoURL(req) {
|
|
const proto = asString(header(req, 'x-forwarded-proto')) || 'https';
|
|
const host = asString(header(req, 'host'));
|
|
const url = new URL(`${proto}://${host}${req.url || '/v1/chat/completions'}`);
|
|
url.searchParams.set('__go', '1');
|
|
const protectionBypass = resolveProtectionBypass(req);
|
|
if (protectionBypass) {
|
|
url.searchParams.set('x-vercel-protection-bypass', protectionBypass);
|
|
}
|
|
return url;
|
|
}
|
|
|
|
function buildInternalGoHeaders(req, opts = {}) {
|
|
const headers = {
|
|
authorization: asString(header(req, 'authorization')),
|
|
'x-api-key': asString(header(req, 'x-api-key')),
|
|
'x-ds2-target-account': asString(header(req, 'x-ds2-target-account')),
|
|
'x-vercel-protection-bypass': resolveProtectionBypass(req),
|
|
};
|
|
if (opts.withInternalToken) {
|
|
headers['x-ds2-internal-token'] = internalSecret();
|
|
}
|
|
if (opts.withContentType) {
|
|
headers['content-type'] = asString(header(req, 'content-type')) || 'application/json';
|
|
}
|
|
return headers;
|
|
}
|
|
|
|
function createLeaseReleaser(req, leaseID) {
|
|
let released = false;
|
|
return async () => {
|
|
if (released || !leaseID) {
|
|
return;
|
|
}
|
|
released = true;
|
|
try {
|
|
await releaseStreamLease(req, leaseID);
|
|
} catch (_err) {
|
|
// Ignore release errors. Lease TTL cleanup on Go side still prevents permanent leaks.
|
|
}
|
|
};
|
|
}
|
|
|
|
async function releaseStreamLease(req, leaseID) {
|
|
const url = buildInternalGoURL(req);
|
|
url.searchParams.set('__stream_release', '1');
|
|
const body = Buffer.from(JSON.stringify({ lease_id: leaseID }));
|
|
|
|
const controller = new AbortController();
|
|
const timeout = setTimeout(() => controller.abort(), 1500);
|
|
try {
|
|
await fetch(url.toString(), {
|
|
method: 'POST',
|
|
headers: buildInternalGoHeaders(req, { withInternalToken: true, withContentType: true }),
|
|
body,
|
|
signal: controller.signal,
|
|
});
|
|
} finally {
|
|
clearTimeout(timeout);
|
|
}
|
|
}
|
|
|
|
function resolveProtectionBypass(req) {
|
|
const fromHeader = asString(header(req, 'x-vercel-protection-bypass'));
|
|
if (fromHeader) {
|
|
return fromHeader;
|
|
}
|
|
return asString(process.env.VERCEL_AUTOMATION_BYPASS_SECRET) || asString(process.env.DS2API_VERCEL_PROTECTION_BYPASS);
|
|
}
|
|
|
|
function looksLikeVercelAuthPage(text) {
|
|
const body = asString(text).toLowerCase();
|
|
if (!body) {
|
|
return false;
|
|
}
|
|
return body.includes('authentication required') && body.includes('vercel');
|
|
}
|
|
|
|
function parseChunkForContent(chunk, thinkingEnabled, currentType) {
|
|
if (!chunk || typeof chunk !== 'object' || !Object.prototype.hasOwnProperty.call(chunk, 'v')) {
|
|
return { parts: [], finished: false, newType: currentType };
|
|
}
|
|
const pathValue = asString(chunk.p);
|
|
if (shouldSkipPath(pathValue)) {
|
|
return { parts: [], finished: false, newType: currentType };
|
|
}
|
|
if (pathValue === 'response/status' && asString(chunk.v) === 'FINISHED') {
|
|
return { parts: [], finished: true, newType: currentType };
|
|
}
|
|
|
|
let newType = currentType;
|
|
const parts = [];
|
|
|
|
if (pathValue === 'response/fragments' && asString(chunk.o).toUpperCase() === 'APPEND' && Array.isArray(chunk.v)) {
|
|
for (const frag of chunk.v) {
|
|
if (!frag || typeof frag !== 'object') {
|
|
continue;
|
|
}
|
|
const fragType = asString(frag.type).toUpperCase();
|
|
const content = asString(frag.content);
|
|
if (!content) {
|
|
continue;
|
|
}
|
|
if (fragType === 'THINK' || fragType === 'THINKING') {
|
|
newType = 'thinking';
|
|
parts.push({ text: content, type: 'thinking' });
|
|
} else if (fragType === 'RESPONSE') {
|
|
newType = 'text';
|
|
parts.push({ text: content, type: 'text' });
|
|
} else {
|
|
parts.push({ text: content, type: 'text' });
|
|
}
|
|
}
|
|
}
|
|
|
|
if (pathValue === 'response' && Array.isArray(chunk.v)) {
|
|
for (const item of chunk.v) {
|
|
if (!item || typeof item !== 'object') {
|
|
continue;
|
|
}
|
|
if (item.p === 'fragments' && item.o === 'APPEND' && Array.isArray(item.v)) {
|
|
for (const frag of item.v) {
|
|
const fragType = asString(frag && frag.type).toUpperCase();
|
|
if (fragType === 'THINK' || fragType === 'THINKING') {
|
|
newType = 'thinking';
|
|
} else if (fragType === 'RESPONSE') {
|
|
newType = 'text';
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
let partType = 'text';
|
|
if (pathValue === 'response/thinking_content') {
|
|
partType = 'thinking';
|
|
} else if (pathValue === 'response/content') {
|
|
partType = 'text';
|
|
} else if (pathValue.includes('response/fragments') && pathValue.includes('/content')) {
|
|
partType = newType;
|
|
} else if (!pathValue && thinkingEnabled) {
|
|
partType = newType;
|
|
}
|
|
|
|
const val = chunk.v;
|
|
if (typeof val === 'string') {
|
|
if (val === 'FINISHED' && (!pathValue || pathValue === 'status')) {
|
|
return { parts: [], finished: true, newType };
|
|
}
|
|
if (val) {
|
|
parts.push({ text: val, type: partType });
|
|
}
|
|
return { parts, finished: false, newType };
|
|
}
|
|
|
|
if (Array.isArray(val)) {
|
|
for (const entry of val) {
|
|
if (typeof entry === 'string') {
|
|
if (entry) {
|
|
parts.push({ text: entry, type: partType });
|
|
}
|
|
continue;
|
|
}
|
|
if (!entry || typeof entry !== 'object') {
|
|
continue;
|
|
}
|
|
if (asString(entry.p) === 'status' && asString(entry.v) === 'FINISHED') {
|
|
return { parts: [], finished: true, newType };
|
|
}
|
|
const content = asString(entry.content);
|
|
if (!content) {
|
|
continue;
|
|
}
|
|
const t = asString(entry.type).toUpperCase();
|
|
if (t === 'THINK' || t === 'THINKING') {
|
|
parts.push({ text: content, type: 'thinking' });
|
|
} else if (t === 'RESPONSE') {
|
|
parts.push({ text: content, type: 'text' });
|
|
} else {
|
|
parts.push({ text: content, type: partType });
|
|
}
|
|
}
|
|
return { parts, finished: false, newType };
|
|
}
|
|
|
|
if (val && typeof val === 'object') {
|
|
const resp = val.response && typeof val.response === 'object' ? val.response : val;
|
|
if (Array.isArray(resp.fragments)) {
|
|
for (const frag of resp.fragments) {
|
|
if (!frag || typeof frag !== 'object') {
|
|
continue;
|
|
}
|
|
const content = asString(frag.content);
|
|
if (!content) {
|
|
continue;
|
|
}
|
|
const t = asString(frag.type).toUpperCase();
|
|
if (t === 'THINK' || t === 'THINKING') {
|
|
newType = 'thinking';
|
|
parts.push({ text: content, type: 'thinking' });
|
|
} else if (t === 'RESPONSE') {
|
|
newType = 'text';
|
|
parts.push({ text: content, type: 'text' });
|
|
} else {
|
|
parts.push({ text: content, type: partType });
|
|
}
|
|
}
|
|
}
|
|
}
|
|
return { parts, finished: false, newType };
|
|
}
|
|
|
|
function shouldSkipPath(pathValue) {
|
|
if (pathValue === 'response/search_status') {
|
|
return true;
|
|
}
|
|
for (const p of SKIP_PATTERNS) {
|
|
if (pathValue.includes(p)) {
|
|
return true;
|
|
}
|
|
}
|
|
return false;
|
|
}
|
|
|
|
function isCitation(text) {
|
|
return asString(text).trim().startsWith('[citation:');
|
|
}
|
|
|
|
function buildUsage(prompt, thinking, output) {
|
|
const promptTokens = estimateTokens(prompt);
|
|
const reasoningTokens = estimateTokens(thinking);
|
|
const completionTokens = estimateTokens(output);
|
|
return {
|
|
prompt_tokens: promptTokens,
|
|
completion_tokens: reasoningTokens + completionTokens,
|
|
total_tokens: promptTokens + reasoningTokens + completionTokens,
|
|
completion_tokens_details: {
|
|
reasoning_tokens: reasoningTokens,
|
|
},
|
|
};
|
|
}
|
|
|
|
function estimateTokens(text) {
|
|
const t = asString(text);
|
|
if (!t) {
|
|
return 0;
|
|
}
|
|
const n = Math.floor(Array.from(t).length / 4);
|
|
return n < 1 ? 1 : n;
|
|
}
|
|
|
|
async function proxyToGo(req, res, rawBody) {
|
|
const url = buildInternalGoURL(req);
|
|
|
|
const upstream = await fetch(url.toString(), {
|
|
method: 'POST',
|
|
headers: buildInternalGoHeaders(req, { withContentType: true }),
|
|
body: rawBody,
|
|
});
|
|
|
|
res.statusCode = upstream.status;
|
|
upstream.headers.forEach((value, key) => {
|
|
if (key.toLowerCase() === 'content-length') {
|
|
return;
|
|
}
|
|
res.setHeader(key, value);
|
|
});
|
|
|
|
if (!upstream.body || typeof upstream.body.getReader !== 'function') {
|
|
const bytes = Buffer.from(await upstream.arrayBuffer());
|
|
res.end(bytes);
|
|
return;
|
|
}
|
|
|
|
const reader = upstream.body.getReader();
|
|
try {
|
|
// eslint-disable-next-line no-constant-condition
|
|
while (true) {
|
|
const { value, done } = await reader.read();
|
|
if (done) {
|
|
break;
|
|
}
|
|
if (value && value.length > 0) {
|
|
res.write(Buffer.from(value));
|
|
if (typeof res.flush === 'function') {
|
|
res.flush();
|
|
}
|
|
}
|
|
}
|
|
res.end();
|
|
} catch (_err) {
|
|
if (!res.writableEnded) {
|
|
res.end();
|
|
}
|
|
}
|
|
}
|
|
|
|
function writeOpenAIError(res, status, message) {
|
|
res.statusCode = status;
|
|
res.setHeader('Content-Type', 'application/json');
|
|
res.end(
|
|
JSON.stringify({
|
|
error: {
|
|
message,
|
|
type: openAIErrorType(status),
|
|
},
|
|
}),
|
|
);
|
|
}
|
|
|
|
function openAIErrorType(status) {
|
|
switch (status) {
|
|
case 400:
|
|
return 'invalid_request_error';
|
|
case 401:
|
|
return 'authentication_error';
|
|
case 403:
|
|
return 'permission_error';
|
|
case 429:
|
|
return 'rate_limit_error';
|
|
case 503:
|
|
return 'service_unavailable_error';
|
|
default:
|
|
return status >= 500 ? 'api_error' : 'invalid_request_error';
|
|
}
|
|
}
|
|
|
|
function toBool(v) {
|
|
return v === true;
|
|
}
|
|
|
|
function isVercelRuntime() {
|
|
return asString(process.env.VERCEL) !== '' || asString(process.env.NOW_REGION) !== '';
|
|
}
|
|
|
|
function asString(v) {
|
|
if (typeof v === 'string') {
|
|
return v.trim();
|
|
}
|
|
if (Array.isArray(v)) {
|
|
return asString(v[0]);
|
|
}
|
|
if (v == null) {
|
|
return '';
|
|
}
|
|
return String(v).trim();
|
|
}
|