Merge branch 'main' into FEATURE/Claude_vision

# Conflicts:
#	packages/components/nodes/agents/ConversationalAgent/ConversationalAgent.ts
#	packages/components/nodes/agents/MRKLAgentChat/MRKLAgentChat.ts
This commit is contained in:
vinodkiran
2024-03-11 09:50:33 +05:30
48 changed files with 743 additions and 72 deletions
@@ -12,6 +12,8 @@ import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from
import { IVisionChatModal, FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { AgentExecutor } from '../../../src/agents'
import { addImagesToMessages, llmSupportsVision } from '../../../src/multiModalUtils'
import { checkInputs, Moderation } from '../../moderation/Moderation'
import { formatResponse } from '../../outputparsers/OutputParserHelpers'
const DEFAULT_PREFIX = `Assistant is a large language model trained by OpenAI.
@@ -45,7 +47,7 @@ class ConversationalAgent_Agents implements INode {
constructor(fields?: { sessionId?: string }) {
this.label = 'Conversational Agent'
this.name = 'conversationalAgent'
this.version = 2.0
this.version = 3.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'agent.svg'
@@ -76,6 +78,14 @@ class ConversationalAgent_Agents implements INode {
default: DEFAULT_PREFIX,
optional: true,
additionalParams: true
},
{
label: 'Input Moderation',
description: 'Detect text that could generate harmful output and prevent it from being sent to the language model',
name: 'inputModeration',
type: 'Moderation',
optional: true,
list: true
}
]
this.sessionId = fields?.sessionId
@@ -85,9 +95,20 @@ class ConversationalAgent_Agents implements INode {
return prepareAgent(nodeData, options, { sessionId: this.sessionId, chatId: options.chatId, input }, options.chatHistory)
}
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string | object> {
const memory = nodeData.inputs?.memory as FlowiseMemory
const moderations = nodeData.inputs?.inputModeration as Moderation[]
if (moderations && moderations.length > 0) {
try {
// Use the output of the moderation chain as input for the BabyAGI agent
input = await checkInputs(moderations, input)
} catch (e) {
await new Promise((resolve) => setTimeout(resolve, 500))
//streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId)
return formatResponse(e.message)
}
}
const executor = await prepareAgent(
nodeData,
options,