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import { resolveImageToRefId } from './upload.js';
import { enqueueRequest, dispatchQueued } from './queue.js';
import { recordTTFB, recordTokenSpeed } from './metrics.js';
const MODEL_MAP = {
'deepseek-v4-flash': 'default',
'deepseek-v4-pro': 'expert',
'deepseek-v4-vision': 'vision',
'deepseek-v4-flash[1m]': 'default',
'deepseek-v4-pro[1m]': 'expert',
'deepseek-v4-vision[1m]': 'vision',
};
function mapModel(model) {
const mapped = MODEL_MAP[model];
if (!mapped) throw new Error(`Unknown model: ${model}. Available: ${Object.keys(MODEL_MAP).join(', ')}`);
return mapped;
}
async function extractImages(messages, token) {
const refFileIds = [];
for (const msg of messages) {
if (Array.isArray(msg.content)) {
for (const part of msg.content) {
if (part.type === 'image_url' && part.image_url?.url) {
try {
const fileId = await resolveImageToRefId(part.image_url.url, token);
refFileIds.push(fileId);
} catch (err) {
console.error('Image upload failed:', err.message);
}
}
}
}
}
return refFileIds;
}
function buildPrompt(messages) {
let prompt = '';
for (const msg of messages) {
if (msg.role === 'system') {
prompt += `[System]: ${msg.content}\n\n`;
} else if (msg.role === 'user') {
if (Array.isArray(msg.content)) {
for (const part of msg.content) {
if (part.type === 'text') {
prompt += `[User]: ${part.text}\n\n`;
}
}
} else {
prompt += `[User]: ${msg.content}\n\n`;
}
} else if (msg.role === 'assistant') {
prompt += `[Assistant]: ${msg.content}\n\n`;
}
}
return prompt.trim();
}
export async function handleOpenAICompletion(req, res) {
const { model, messages, stream = false, max_tokens } = req.body;
if (!model || !messages || !messages.length) {
return res.status(400).json({ error: { message: 'model and messages are required' } });
}
const modelType = mapModel(model);
const prompt = buildPrompt(messages);
const thinkingEnabled = req.body.thinking_enabled ?? true;
const searchEnabled = req.body.search_enabled ?? (modelType !== 'vision');
// Default: send thinking as separate reasoning_content field (recognized by Claude Code, OpenAI clients)
// Set merge_thinking=true or MERGE_THINKING=true to merge into content with <arg_key> tags instead
const mergeThinking = req.body.merge_thinking ?? (process.env.MERGE_THINKING === 'true');
const requestId = `chatcmpl-${Date.now()}-${Math.random().toString(36).slice(2)}`;
const requestStart = Date.now();
let result;
try {
let refFileIds = [];
let uploadSlot = null;
if (modelType === 'vision') {
uploadSlot = await enqueueRequest(true);
try {
refFileIds = await extractImages(messages, uploadSlot.token);
} finally {
uploadSlot.release();
dispatchQueued();
}
}
result = await completion({ modelType, prompt, thinkingEnabled, searchEnabled, refFileIds, preferVision: modelType === 'vision' });
} catch (err) {
console.error('Completion error:', err.message);
return res.status(500).json({ error: { message: err.message } });
}
const { body: streamBody, slot } = result;
try {
if (stream) {
res.writeHead(200, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive',
});
res.write(`data: ${JSON.stringify({
id: requestId,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model,
choices: [{ index: 0, delta: { role: 'assistant' }, finish_reason: null }],
})}\n\n`);
let inThinkingPhase = thinkingEnabled;
let thinkingTagOpened = false;
let firstChunkTime = null;
let streamUsage = 0;
for await (const event of parseSSEStream(streamBody)) {
if (event.type === 'error') {
if (event.code === 40004) {
console.error(`Account BANNED in stream: ${slot.token.slice(0, 12)}...`);
}
throw new Error(event.message || `DeepSeek error ${event.code}`);
}
if (event.type === 'content') {
if (!firstChunkTime) {
firstChunkTime = Date.now();
recordTTFB(model, firstChunkTime - requestStart);
}
if (mergeThinking && thinkingTagOpened) {
thinkingTagOpened = false;
res.write(`data: ${JSON.stringify({
id: requestId, object: 'chat.completion.chunk', created: Math.floor(Date.now() / 1000), model,
choices: [{ index: 0, delta: { content: '\n</think>\n' }, finish_reason: null }],
})}\n\n`);
}
inThinkingPhase = false;
res.write(`data: ${JSON.stringify({
id: requestId,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model,
choices: [{ index: 0, delta: { content: event.content }, finish_reason: null }],
})}\n\n`);
} else if (event.type === 'thinking' && inThinkingPhase) {
if (mergeThinking) {
if (!thinkingTagOpened) {
thinkingTagOpened = true;
res.write(`data: ${JSON.stringify({
id: requestId, object: 'chat.completion.chunk', created: Math.floor(Date.now() / 1000), model,
choices: [{ index: 0, delta: { content: '<think>\n' }, finish_reason: null }],
})}\n\n`);
}
res.write(`data: ${JSON.stringify({
id: requestId,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model,
choices: [{ index: 0, delta: { content: event.content }, finish_reason: null }],
})}\n\n`);
} else {
res.write(`data: ${JSON.stringify({
id: requestId,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model,
choices: [{ index: 0, delta: { reasoning_content: event.content }, finish_reason: null }],
})}\n\n`);
}
} else if (event.type === 'usage') {
streamUsage = event.usage;
} else if (event.type === 'done') {
if (mergeThinking && thinkingTagOpened) {
thinkingTagOpened = false;
res.write(`data: ${JSON.stringify({
id: requestId, object: 'chat.completion.chunk', created: Math.floor(Date.now() / 1000), model,
choices: [{ index: 0, delta: { content: '\n</think>\n' }, finish_reason: null }],
})}\n\n`);
}
res.write(`data: ${JSON.stringify({
id: requestId,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model,
choices: [{ index: 0, delta: {}, finish_reason: 'stop' }],
})}\n\n`);
res.write('data: [DONE]\n\n');
// Record token speed at stream end
const streamDuration = Date.now() - requestStart;
if (streamUsage > 0 && streamDuration > 0) {
recordTokenSpeed(model, streamUsage, streamDuration);
}
}
}
res.end();
} else {
let fullContent = '';
let fullThinking = '';
let usage = 0;
let inThinkingPhase = thinkingEnabled;
for await (const event of parseSSEStream(streamBody)) {
if (event.type === 'error') {
if (event.code === 40004) {
console.error(`Account BANNED in stream: ${slot.token.slice(0, 12)}...`);
}
throw new Error(event.message || `DeepSeek error ${event.code}`);
}
if (event.type === 'content') {
fullContent += event.content;
inThinkingPhase = false;
} else if (event.type === 'thinking' && inThinkingPhase) {
fullThinking += event.content;
} else if (event.type === 'usage') usage = event.usage;
}
// Record TTFB and token speed for non-streaming
const totalDuration = Date.now() - requestStart;
recordTTFB(model, totalDuration);
if (usage > 0 && totalDuration > 0) {
recordTokenSpeed(model, usage, totalDuration);
}
const response = {
id: requestId,
object: 'chat.completion',
created: Math.floor(Date.now() / 1000),
model,
choices: [{
index: 0,
message: {
role: 'assistant',
content: mergeThinking && fullThinking
? `<think>\n${fullThinking}\n</think>\n${fullContent}`
: fullContent,
...((!mergeThinking && fullThinking) ? { reasoning_content: fullThinking } : {}),
},
finish_reason: 'stop',
}],
usage: {
prompt_tokens: 0,
completion_tokens: usage,
total_tokens: usage,
},
};
res.json(response);
}
} catch (err) {
console.error('Stream error:', err.message);
if (!res.headersSent) {
res.status(500).json({ error: { message: err.message } });
} else {
res.end();
}
} finally {
slot.release();
dispatchQueued();
}
}
export function handleOpenAIModels(req, res) {
res.json({
object: 'list',
data: Object.keys(MODEL_MAP).map((id, i) => ({
id,
object: 'model',
created: 1700000000,
owned_by: 'deepseek',
})),
});
}
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