Chore/refractor (#4454)

* 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>

packages/components/nodes/agents/LlamaIndexAgents/AnthropicAgent/AnthropicAgent_LlamaIndex.ts

@@ -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) {