mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2024-07-02 15:20:37 +02:00
Implement streaming for workspace chats via API (#604)
This commit is contained in:
Timothy Carambat
GitHub
parent
bd158ce7b1
commit
f5bb064dee
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@ -11,6 +11,11 @@ const {
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const { getVectorDbClass } = require("../../../utils/helpers");
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const { multiUserMode, reqBody } = require("../../../utils/http");
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const { validApiKey } = require("../../../utils/middleware/validApiKey");
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const {
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streamChatWithWorkspace,
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writeResponseChunk,
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VALID_CHAT_MODE,
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} = require("../../../utils/chats/stream");
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function apiWorkspaceEndpoints(app) {
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if (!app) return;
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@ -483,7 +488,28 @@ function apiWorkspaceEndpoints(app) {
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const workspace = await Workspace.get({ slug });
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if (!workspace) {
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response.sendStatus(400).end();
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response.status(400).json({
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id: uuidv4(),
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type: "abort",
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textResponse: null,
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sources: [],
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close: true,
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error: `Workspace ${slug} is not a valid workspace.`,
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});
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return;
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}
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if (!message?.length || !VALID_CHAT_MODE.includes(mode)) {
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response.status(400).json({
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id: uuidv4(),
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type: "abort",
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textResponse: null,
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sources: [],
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close: true,
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error: !message?.length
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? "message parameter cannot be empty."
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: `${mode} is not a valid mode.`,
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});
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return;
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}
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@ -506,6 +532,126 @@ function apiWorkspaceEndpoints(app) {
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}
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}
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);
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app.post(
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"/v1/workspace/:slug/stream-chat",
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[validApiKey],
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async (request, response) => {
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/*
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#swagger.tags = ['Workspaces']
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#swagger.description = 'Execute a streamable chat with a workspace'
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#swagger.requestBody = {
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description: 'Send a prompt to the workspace and the type of conversation (query or chat).<br/><b>Query:</b> Will not use LLM unless there are relevant sources from vectorDB & does not recall chat history.<br/><b>Chat:</b> Uses LLM general knowledge w/custom embeddings to produce output, uses rolling chat history.',
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required: true,
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type: 'object',
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content: {
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"application/json": {
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example: {
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message: "What is AnythingLLM?",
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mode: "query | chat"
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}
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}
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}
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}
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#swagger.responses[200] = {
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content: {
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"text/event-stream": {
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schema: {
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type: 'array',
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example: [
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{
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id: 'uuid-123',
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type: "abort | textResponseChunk",
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textResponse: "First chunk",
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sources: [],
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close: false,
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error: "null | text string of the failure mode."
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},
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{
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id: 'uuid-123',
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type: "abort | textResponseChunk",
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textResponse: "chunk two",
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sources: [],
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close: false,
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error: "null | text string of the failure mode."
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},
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{
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id: 'uuid-123',
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type: "abort | textResponseChunk",
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textResponse: "final chunk of LLM output!",
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sources: [{title: "anythingllm.txt", chunk: "This is a context chunk used in the answer of the prompt by the LLM. This will only return in the final chunk."}],
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close: true,
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error: "null | text string of the failure mode."
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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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#swagger.responses[403] = {
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schema: {
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"$ref": "#/definitions/InvalidAPIKey"
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}
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}
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*/
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try {
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const { slug } = request.params;
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const { message, mode = "query" } = reqBody(request);
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const workspace = await Workspace.get({ slug });
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if (!workspace) {
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response.status(400).json({
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id: uuidv4(),
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type: "abort",
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textResponse: null,
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sources: [],
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close: true,
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error: `Workspace ${slug} is not a valid workspace.`,
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});
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return;
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}
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if (!message?.length || !VALID_CHAT_MODE.includes(mode)) {
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response.status(400).json({
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id: uuidv4(),
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type: "abort",
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textResponse: null,
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sources: [],
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close: true,
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error: !message?.length
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? "Message is empty"
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: `${mode} is not a valid mode.`,
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});
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return;
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}
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response.setHeader("Cache-Control", "no-cache");
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response.setHeader("Content-Type", "text/event-stream");
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response.setHeader("Access-Control-Allow-Origin", "*");
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response.setHeader("Connection", "keep-alive");
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response.flushHeaders();
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await streamChatWithWorkspace(response, workspace, message, mode);
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await Telemetry.sendTelemetry("sent_chat", {
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LLMSelection: process.env.LLM_PROVIDER || "openai",
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Embedder: process.env.EMBEDDING_ENGINE || "inherit",
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VectorDbSelection: process.env.VECTOR_DB || "pinecone",
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});
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response.end();
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} catch (e) {
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console.error(e);
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writeResponseChunk(response, {
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id: uuidv4(),
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type: "abort",
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textResponse: null,
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sources: [],
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close: true,
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error: e.message,
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});
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response.end();
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}
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}
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);
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}
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module.exports = { apiWorkspaceEndpoints };
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@ -8,6 +8,7 @@ const { Telemetry } = require("../models/telemetry");
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const {
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streamChatWithWorkspace,
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writeResponseChunk,
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VALID_CHAT_MODE,
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} = require("../utils/chats/stream");
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function chatEndpoints(app) {
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@ -31,6 +32,20 @@ function chatEndpoints(app) {
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return;
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}
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if (!message?.length || !VALID_CHAT_MODE.includes(mode)) {
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response.status(400).json({
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id: uuidv4(),
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type: "abort",
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textResponse: null,
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sources: [],
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close: true,
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error: !message?.length
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? "Message is empty."
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: `${mode} is not a valid mode.`,
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});
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return;
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}
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response.setHeader("Cache-Control", "no-cache");
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response.setHeader("Content-Type", "text/event-stream");
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response.setHeader("Access-Control-Allow-Origin", "*");
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@ -1612,6 +1612,105 @@
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}
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}
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},
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"/v1/workspace/{slug}/stream-chat": {
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"post": {
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"tags": [
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"Workspaces"
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],
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"description": "Execute a streamable chat with a workspace",
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"parameters": [
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{
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"name": "slug",
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"in": "path",
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"required": true,
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"schema": {
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"type": "string"
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}
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},
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{
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"name": "Authorization",
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"in": "header",
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"schema": {
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"type": "string"
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}
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}
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],
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"responses": {
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"200": {
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"content": {
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"text/event-stream": {
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"schema": {
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"type": "array",
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"example": [
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{
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"id": "uuid-123",
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"type": "abort | textResponseChunk",
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"textResponse": "First chunk",
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"sources": [],
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"close": false,
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"error": "null | text string of the failure mode."
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},
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{
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"id": "uuid-123",
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"type": "abort | textResponseChunk",
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"textResponse": "chunk two",
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"sources": [],
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"close": false,
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"error": "null | text string of the failure mode."
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},
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{
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"id": "uuid-123",
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"type": "abort | textResponseChunk",
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"textResponse": "final chunk of LLM output!",
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"sources": [
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{
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"title": "anythingllm.txt",
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"chunk": "This is a context chunk used in the answer of the prompt by the LLM. This will only return in the final chunk."
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}
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],
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"close": true,
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"error": "null | text string of the failure mode."
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}
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]
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}
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}
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},
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"description": "OK"
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},
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"400": {
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"description": "Bad Request"
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},
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"403": {
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"description": "Forbidden",
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/InvalidAPIKey"
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}
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},
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"application/xml": {
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"schema": {
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"$ref": "#/components/schemas/InvalidAPIKey"
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}
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}
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}
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}
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},
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"requestBody": {
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"description": "Send a prompt to the workspace and the type of conversation (query or chat).<br/><b>Query:</b> Will not use LLM unless there are relevant sources from vectorDB & does not recall chat history.<br/><b>Chat:</b> Uses LLM general knowledge w/custom embeddings to produce output, uses rolling chat history.",
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"required": true,
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"type": "object",
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"content": {
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"application/json": {
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"example": {
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"message": "What is AnythingLLM?",
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"mode": "query | chat"
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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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"/v1/system/env-dump": {
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"get": {
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"tags": [
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@ -8,6 +8,7 @@ const {
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chatPrompt,
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} = require(".");
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const VALID_CHAT_MODE = ["chat", "query"];
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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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@ -503,6 +504,7 @@ function handleStreamResponses(response, stream, responseProps) {
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}
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module.exports = {
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VALID_CHAT_MODE,
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streamChatWithWorkspace,
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writeResponseChunk,
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};
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