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/AirtableAgent/AirtableAgent.ts

@@ -128,7 +128,7 @@ class Airtable_Agents implements INode {
 
         let base64String = Buffer.from(JSON.stringify(airtableData)).toString('base64')
 
-        const loggerHandler = new ConsoleCallbackHandler(options.logger)
+        const loggerHandler = new ConsoleCallbackHandler(options.logger, options?.orgId)
         const callbacks = await additionalCallbacks(nodeData, options)
 
         const pyodide = await LoadPyodide()
@@ -163,7 +163,7 @@ json.dumps(my_dict)`
             const chain = new LLMChain({
                 llm: model,
                 prompt: PromptTemplate.fromTemplate(systemPrompt),
-                verbose: process.env.DEBUG === 'true'
+                verbose: process.env.DEBUG === 'true' ? true : false
             })
             const inputs = {
                 dict: dataframeColDict,
@@ -192,7 +192,7 @@ json.dumps(my_dict)`
             const chain = new LLMChain({
                 llm: model,
                 prompt: PromptTemplate.fromTemplate(finalSystemPrompt),
-                verbose: process.env.DEBUG === 'true'
+                verbose: process.env.DEBUG === 'true' ? true : false
             })
             const inputs = {
                 question: input,