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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/agents/LlamaIndexAgents/AnthropicAgent/AnthropicAgent_LlamaIndex.ts
+6 -2
View File
@@ -2,6 +2,7 @@ import { flatten } from 'lodash'
import { MessageContentTextDetail, ChatMessage, AnthropicAgent, Anthropic } from 'llamaindex'
import { getBaseClasses } from '../../../../src/utils'
import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeParams, IUsedTool } from '../../../../src/Interface'
import { EvaluationRunTracerLlama } from '../../../../evaluation/EvaluationRunTracerLlama'
class AnthropicAgent_LlamaIndex_Agents implements INode {
label: string
@@ -96,13 +97,16 @@ class AnthropicAgent_LlamaIndex_Agents implements INode {
tools,
llm: model,
chatHistory: chatHistory,
verbose: process.env.DEBUG === 'true'
verbose: process.env.DEBUG === 'true' ? true : false
})
// these are needed for evaluation runs
await EvaluationRunTracerLlama.injectEvaluationMetadata(nodeData, options, agent)
let text = ''
const usedTools: IUsedTool[] = []
const response = await agent.chat({ message: input, chatHistory, verbose: process.env.DEBUG === 'true' })
const response = await agent.chat({ message: input, chatHistory, verbose: process.env.DEBUG === 'true' ? true : false })
if (response.sources.length) {
for (const sourceTool of response.sources) {
packages/components/nodes/agents/LlamaIndexAgents/OpenAIToolAgent/OpenAIToolAgent_LlamaIndex.ts
+7 -4
View File
@@ -1,6 +1,7 @@
import { flatten } from 'lodash'
import { ChatMessage, OpenAI, OpenAIAgent } from 'llamaindex'
import { getBaseClasses } from '../../../../src/utils'
import { EvaluationRunTracerLlama } from '../../../../evaluation/EvaluationRunTracerLlama'
import {
FlowiseMemory,
ICommonObject,
@@ -107,9 +108,12 @@ class OpenAIFunctionAgent_LlamaIndex_Agents implements INode {
tools,
llm: model,
chatHistory: chatHistory,
verbose: process.env.DEBUG === 'true'
verbose: process.env.DEBUG === 'true' ? true : false
})
// these are needed for evaluation runs
await EvaluationRunTracerLlama.injectEvaluationMetadata(nodeData, options, agent)
let text = ''
let isStreamingStarted = false
const usedTools: IUsedTool[] = []
@@ -119,10 +123,9 @@ class OpenAIFunctionAgent_LlamaIndex_Agents implements INode {
message: input,
chatHistory,
stream: true,
verbose: process.env.DEBUG === 'true'
verbose: process.env.DEBUG === 'true' ? true : false
})
for await (const chunk of stream) {
//console.log('chunk', chunk)
text += chunk.response.delta
if (!isStreamingStarted) {
isStreamingStarted = true
@@ -147,7 +150,7 @@ class OpenAIFunctionAgent_LlamaIndex_Agents implements INode {
}
}
} else {
const response = await agent.chat({ message: input, chatHistory, verbose: process.env.DEBUG === 'true' })
const response = await agent.chat({ message: input, chatHistory, verbose: process.env.DEBUG === 'true' ? true : false })
if (response.sources.length) {
for (const sourceTool of response.sources) {
usedTools.push({