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Chore/refractor (#4454)

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* markdown files and env examples cleanup

* components update

* update jsonlines description

* server refractor

* update telemetry

* add execute custom node

* add ui refractor

* add username and password authenticate

* correctly retrieve past images in agentflowv2

* disable e2e temporarily

* add existing username and password authenticate

* update migration to default workspace

* update todo

* blob storage migrating

* throw error on agent tool call error

* add missing execution import

* add referral

* chore: add error message when importData is undefined

* migrate api keys to db

* fix: data too long for column executionData

* migrate api keys from json to db at init

* add info on account setup

* update docstore missing fields

---------

Co-authored-by: chungyau97 <chungyau97@gmail.com>
This commit is contained in:
Henry Heng
2025-05-27 14:29:42 +08:00
committed by GitHub
parent e35a126b46
commit 5a37227d14
560 changed files with 62127 additions and 4100 deletions
Download Patch File Download Diff File Expand all files Collapse all files
packages/components/nodes/engine/ChatEngine/ContextChatEngine.ts
+4
View File
@@ -10,6 +10,7 @@ import {
} from '../../../src/Interface'
import { Metadata, BaseRetriever, LLM, ContextChatEngine, ChatMessage, NodeWithScore } from 'llamaindex'
import { reformatSourceDocuments } from '../EngineUtils'
import { EvaluationRunTracerLlama } from '../../../evaluation/EvaluationRunTracerLlama'
class ContextChatEngine_LlamaIndex implements INode {
label: string
@@ -93,6 +94,9 @@ class ContextChatEngine_LlamaIndex implements INode {
const chatEngine = new ContextChatEngine({ chatModel: model, retriever: vectorStoreRetriever })
// these are needed for evaluation runs
await EvaluationRunTracerLlama.injectEvaluationMetadata(nodeData, options, chatEngine)
const msgs = (await memory.getChatMessages(this.sessionId, false, prependMessages)) as IMessage[]
for (const message of msgs) {
if (message.type === 'apiMessage') {
packages/components/nodes/engine/ChatEngine/SimpleChatEngine.ts
+4
View File
@@ -9,6 +9,7 @@ import {
IServerSideEventStreamer
} from '../../../src/Interface'
import { LLM, ChatMessage, SimpleChatEngine } from 'llamaindex'
import { EvaluationRunTracerLlama } from '../../../evaluation/EvaluationRunTracerLlama'
class SimpleChatEngine_LlamaIndex implements INode {
label: string
@@ -78,6 +79,9 @@ class SimpleChatEngine_LlamaIndex implements INode {
const chatEngine = new SimpleChatEngine({ llm: model })
// these are needed for evaluation runs
await EvaluationRunTracerLlama.injectEvaluationMetadata(nodeData, options, chatEngine)
const msgs = (await memory.getChatMessages(this.sessionId, false, prependMessages)) as IMessage[]
for (const message of msgs) {
if (message.type === 'apiMessage') {
packages/components/nodes/engine/QueryEngine/QueryEngine.ts
+3
View File
@@ -10,6 +10,7 @@ import {
NodeWithScore
} from 'llamaindex'
import { reformatSourceDocuments } from '../EngineUtils'
import { EvaluationRunTracerLlama } from '../../../evaluation/EvaluationRunTracerLlama'
class QueryEngine_LlamaIndex implements INode {
label: string
@@ -72,6 +73,8 @@ class QueryEngine_LlamaIndex implements INode {
let sourceNodes: NodeWithScore<Metadata>[] = []
let isStreamingStarted = false
await EvaluationRunTracerLlama.injectEvaluationMetadata(nodeData, options, queryEngine)
const shouldStreamResponse = options.shouldStreamResponse
const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer
const chatId = options.chatId
packages/components/nodes/engine/SubQuestionQueryEngine/SubQuestionQueryEngine.ts
+3
View File
@@ -15,6 +15,7 @@ import {
NodeWithScore
} from 'llamaindex'
import { reformatSourceDocuments } from '../EngineUtils'
import { EvaluationRunTracerLlama } from '../../../evaluation/EvaluationRunTracerLlama'
class SubQuestionQueryEngine_LlamaIndex implements INode {
label: string
@@ -89,6 +90,8 @@ class SubQuestionQueryEngine_LlamaIndex implements INode {
let sourceNodes: NodeWithScore<Metadata>[] = []
let isStreamingStarted = false
await EvaluationRunTracerLlama.injectEvaluationMetadata(nodeData, options, queryEngine)
const shouldStreamResponse = options.shouldStreamResponse
const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer
const chatId = options.chatId