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streaming.js
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315 lines (266 loc) · 7.44 KB
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import { delayMs } from './utils.js';
const STREAM_MODES = {
NONE: 'none',
SMART: 'smart',
};
function validateStreamMode(mode) {
const validModes = Object.values(STREAM_MODES);
const normalizedMode = mode ? mode.toLowerCase() : STREAM_MODES.NONE;
if (!validModes.includes(normalizedMode)) {
throw new Error(`Invalid STREAM_MODE: ${mode}. Must be one of: ${validModes.join(', ')}`);
}
if (normalizedMode === 'simple') {
throw new Error('STREAM_MODE=simple has been removed. Use STREAM_MODE=none or STREAM_MODE=smart');
}
return normalizedMode;
}
async function simulateStreamNone(responseText, res) {
if (typeof responseText !== 'string') {
throw new Error('responseText must be a string');
}
const streamId = `chatcmpl-${Date.now()}`;
if (!responseText) {
const finalChunk = {
id: streamId,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model: 'doai-proxy',
choices: [{
index: 0,
delta: {},
finish_reason: 'stop',
}],
};
res.write(`data: ${JSON.stringify(finalChunk)}\n\n`);
res.write('data: [DONE]\n\n');
res.end();
return;
}
const sseData = {
id: streamId,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model: 'doai-proxy',
choices: [{
index: 0,
delta: { content: responseText },
finish_reason: null,
}],
};
res.write(`data: ${JSON.stringify(sseData)}\n\n`);
const finalChunk = {
id: streamId,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model: 'doai-proxy',
choices: [{
index: 0,
delta: {},
finish_reason: 'stop',
}],
};
res.write(`data: ${JSON.stringify(finalChunk)}\n\n`);
res.write('data: [DONE]\n\n');
res.end();
}
async function simulateStreamSmart(responseText, res, chunkSize = 15, delay = 80) {
if (typeof responseText !== 'string') {
throw new Error('responseText must be a string');
}
const streamId = `chatcmpl-${Date.now()}`;
if (!responseText) {
const finalChunk = {
id: streamId,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model: 'doai-proxy',
choices: [{
index: 0,
delta: {},
finish_reason: 'stop',
}],
};
res.write(`data: ${JSON.stringify(finalChunk)}\n\n`);
res.write('data: [DONE]\n\n');
res.end();
return;
}
const chunks = smartChunkText(responseText, chunkSize);
for (const chunk of chunks) {
await delayMs(delay);
const sseData = {
id: streamId,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model: 'doai-proxy',
choices: [{
index: 0,
delta: { content: chunk },
finish_reason: null,
}],
};
res.write(`data: ${JSON.stringify(sseData)}\n\n`);
}
const finalChunk = {
id: streamId,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model: 'doai-proxy',
choices: [{
index: 0,
delta: {},
finish_reason: 'stop',
}],
};
res.write(`data: ${JSON.stringify(finalChunk)}\n\n`);
res.write('data: [DONE]\n\n');
res.end();
}
function smartChunkText(text, targetSize) {
const chunks = [];
const maxSize = targetSize * 10;
let pos = 0;
while (pos < text.length) {
let endPos = Math.min(pos + targetSize, text.length);
if (endPos === text.length) {
chunks.push(text.substring(pos));
break;
}
const safePos = findSafeBoundary(text, pos, endPos, maxSize);
chunks.push(text.substring(pos, safePos));
pos = safePos;
}
return chunks;
}
function findSafeBoundary(text, start, end, maxSize) {
const markdownDelimiters = ['**', '__', '```', '`'];
for (let i = end; i > start; i--) {
if (text[i] === '\n') {
return i + 1;
}
}
for (const delim of markdownDelimiters) {
const delimStart = text.indexOf(delim, start);
if (delimStart !== -1 && delimStart < end) {
const delimEnd = delimStart + delim.length;
if (delimEnd > end) {
const extendedPos = Math.min(delimEnd, text.length, start + maxSize);
if (extendedPos > end) {
return extendedPos;
}
}
}
}
for (let i = end; i > start; i--) {
if (text[i] === ' ' || text[i] === '\t') {
return i + 1;
}
}
const extendedEnd = Math.min(start + maxSize, text.length);
for (let i = extendedEnd; i > end; i--) {
if (text[i] === '\n') {
return i + 1;
}
}
for (const delim of markdownDelimiters) {
const delimStart = text.indexOf(delim, start);
if (delimStart !== -1 && delimStart < extendedEnd) {
const delimEnd = delimStart + delim.length;
if (delimEnd > extendedEnd) {
return delimEnd;
}
}
}
for (let i = extendedEnd; i > end; i--) {
if (text[i] === ' ' || text[i] === '\t') {
return i + 1;
}
}
return end;
}
export async function simulateStream(responseText, res, config = {}) {
const { chunkSize = 15, delay = 80 } = config;
const streamMode = validateStreamMode(process.env.STREAM_MODE);
switch (streamMode) {
case STREAM_MODES.NONE:
return simulateStreamNone(responseText, res, delay);
case STREAM_MODES.SMART:
return simulateStreamSmart(responseText, res, chunkSize, delay);
default:
return simulateStreamNone(responseText, res, delay);
}
}
export async function streamToolCalls(toolCalls, res, id, model) {
if (!toolCalls || toolCalls.length === 0) {
return;
}
console.log(`[StreamToolCalls] Starting to stream ${toolCalls.length} tool call(s)`);
const initDelay = 20;
const argsDelay = 10;
const finalDelay = 20;
for (let i = 0; i < toolCalls.length; i++) {
const toolCall = toolCalls[i];
console.log(`[StreamToolCalls] Tool ${i}: ${toolCall.function.name} (args length: ${toolCall.function.arguments.length})`);
const initChunk = {
tool_calls: [{
index: i,
id: toolCall.id,
type: toolCall.type || 'function',
function: {
name: toolCall.function.name,
arguments: '',
},
}],
};
await delayMs(initDelay);
res.write(`data: ${JSON.stringify({
id: id,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model: model,
choices: [{
index: 0,
delta: initChunk,
finish_reason: null,
}],
})}\n\n`);
const args = toolCall.function.arguments;
if (args.length > 0) {
const argsChunk = {
tool_calls: [{
index: i,
function: {
arguments: args,
},
}],
};
await delayMs(argsDelay);
res.write(`data: ${JSON.stringify({
id: id,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model: model,
choices: [{
index: 0,
delta: argsChunk,
finish_reason: null,
}],
})}\n\n`);
console.log(`[StreamToolCalls] Sent 1 argument chunk for tool ${i}`);
}
}
console.log('[StreamToolCalls] Sending final chunk with finish_reason: \'tool_calls\'');
const finalChunkData = {
id: id,
object: 'chat.completion.chunk',
created: Math.floor(Date.now() / 1000),
model: model,
choices: [{
index: 0,
delta: {},
finish_reason: 'tool_calls',
}],
};
await delayMs(finalDelay);
res.write(`data: ${JSON.stringify(finalChunkData)}\n\n`);
}