mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2024-11-11 09:10:13 +01:00
0e46a11cb6
* Stop generation button during stream-response * add custom stop icon * add stop to thread chats
164 lines
4.6 KiB
JavaScript
164 lines
4.6 KiB
JavaScript
const { v4: uuidv4 } = require("uuid");
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const moment = require("moment");
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function clientAbortedHandler(resolve, fullText) {
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console.log(
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"\x1b[43m\x1b[34m[STREAM ABORTED]\x1b[0m Client requested to abort stream. Exiting LLM stream handler early."
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);
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resolve(fullText);
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return;
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}
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// The default way to handle a stream response. Functions best with OpenAI.
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// Currently used for LMStudio, LocalAI, Mistral API, and OpenAI
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function handleDefaultStreamResponse(response, stream, responseProps) {
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const { uuid = uuidv4(), sources = [] } = responseProps;
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return new Promise((resolve) => {
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let fullText = "";
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let chunk = "";
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// Establish listener to early-abort a streaming response
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// in case things go sideways or the user does not like the response.
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// We preserve the generated text but continue as if chat was completed
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// to preserve previously generated content.
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const handleAbort = () => clientAbortedHandler(resolve, fullText);
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response.on("close", handleAbort);
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stream.data.on("data", (data) => {
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const lines = data
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?.toString()
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?.split("\n")
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.filter((line) => line.trim() !== "");
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for (const line of lines) {
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let validJSON = false;
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const message = chunk + line.replace(/^data: /, "");
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// JSON chunk is incomplete and has not ended yet
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// so we need to stitch it together. You would think JSON
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// chunks would only come complete - but they don't!
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try {
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JSON.parse(message);
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validJSON = true;
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} catch {}
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if (!validJSON) {
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// It can be possible that the chunk decoding is running away
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// and the message chunk fails to append due to string length.
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// In this case abort the chunk and reset so we can continue.
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// ref: https://github.com/Mintplex-Labs/anything-llm/issues/416
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try {
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chunk += message;
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} catch (e) {
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console.error(`Chunk appending error`, e);
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chunk = "";
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}
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continue;
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} else {
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chunk = "";
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}
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if (message == "[DONE]") {
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writeResponseChunk(response, {
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uuid,
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sources,
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type: "textResponseChunk",
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textResponse: "",
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close: true,
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error: false,
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});
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response.removeListener("close", handleAbort);
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resolve(fullText);
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} else {
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let finishReason = null;
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let token = "";
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try {
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const json = JSON.parse(message);
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token = json?.choices?.[0]?.delta?.content;
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finishReason = json?.choices?.[0]?.finish_reason || null;
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} catch {
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continue;
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}
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if (token) {
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fullText += token;
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writeResponseChunk(response, {
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uuid,
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sources: [],
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type: "textResponseChunk",
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textResponse: token,
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close: false,
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error: false,
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});
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}
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if (finishReason !== null) {
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writeResponseChunk(response, {
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uuid,
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sources,
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type: "textResponseChunk",
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textResponse: "",
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close: true,
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error: false,
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});
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response.removeListener("close", handleAbort);
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resolve(fullText);
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}
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}
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}
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});
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});
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}
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function convertToChatHistory(history = []) {
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const formattedHistory = [];
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history.forEach((history) => {
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const { prompt, response, createdAt, feedbackScore = null, id } = history;
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const data = JSON.parse(response);
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formattedHistory.push([
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{
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role: "user",
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content: prompt,
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sentAt: moment(createdAt).unix(),
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},
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{
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role: "assistant",
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content: data.text,
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sources: data.sources || [],
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chatId: id,
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sentAt: moment(createdAt).unix(),
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feedbackScore,
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},
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]);
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});
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return formattedHistory.flat();
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}
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function convertToPromptHistory(history = []) {
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const formattedHistory = [];
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history.forEach((history) => {
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const { prompt, response } = history;
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const data = JSON.parse(response);
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formattedHistory.push([
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{ role: "user", content: prompt },
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{ role: "assistant", content: data.text },
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]);
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});
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return formattedHistory.flat();
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}
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function writeResponseChunk(response, data) {
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response.write(`data: ${JSON.stringify(data)}\n\n`);
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return;
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}
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module.exports = {
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handleDefaultStreamResponse,
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convertToChatHistory,
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convertToPromptHistory,
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writeResponseChunk,
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clientAbortedHandler,
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};
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