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Chore/API for AgentflowV2 (#4696)

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* Enhancement: Introduce prepended chat history handling in Agent and LLM nodes.

- Added support for `prependedChatHistory` in both `Agent` and `LLM` classes to allow for initial message context.
- Implemented validation for history schema in execution flow to ensure proper format.
- Refactored utility functions to include JSON sanitization and validation methods for improved data handling.

* update prediction swagger
This commit is contained in:
Henry Heng
2025-06-22 13:16:35 +01:00
committed by GitHub
parent 035b5555a9
commit 543800562e
9 changed files with 426 additions and 89 deletions
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packages/components/nodes/agentflow/Agent/Agent.ts
+14
View File
@@ -3,6 +3,7 @@ import {
ICommonObject,
IDatabaseEntity,
IHumanInput,
IMessage,
INode,
INodeData,
INodeOptionsValue,
@@ -696,6 +697,7 @@ class Agent_Agentflow implements INode {
const state = options.agentflowRuntime?.state as ICommonObject
const pastChatHistory = (options.pastChatHistory as BaseMessageLike[]) ?? []
const runtimeChatHistory = (options.agentflowRuntime?.chatHistory as BaseMessageLike[]) ?? []
const prependedChatHistory = options.prependedChatHistory as IMessage[]
const chatId = options.chatId as string
// Initialize the LLM model instance
@@ -730,6 +732,18 @@ class Agent_Agentflow implements INode {
// Use to keep track of past messages with image file references
let pastImageMessagesWithFileRef: BaseMessageLike[] = []
// Prepend history ONLY if it is the first node
if (prependedChatHistory.length > 0 && !runtimeChatHistory.length) {
for (const msg of prependedChatHistory) {
const role: string = msg.role === 'apiMessage' ? 'assistant' : 'user'
const content: string = msg.content ?? ''
messages.push({
role,
content
})
}
}
for (const msg of agentMessages) {
const role = msg.role
const content = msg.content
packages/components/nodes/agentflow/LLM/LLM.ts
+14 -1
View File
@@ -1,5 +1,5 @@
import { BaseChatModel } from '@langchain/core/language_models/chat_models'
import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams, IServerSideEventStreamer } from '../../../src/Interface'
import { ICommonObject, IMessage, INode, INodeData, INodeOptionsValue, INodeParams, IServerSideEventStreamer } from '../../../src/Interface'
import { AIMessageChunk, BaseMessageLike, MessageContentText } from '@langchain/core/messages'
import { DEFAULT_SUMMARIZER_TEMPLATE } from '../prompt'
import { z } from 'zod'
@@ -359,6 +359,7 @@ class LLM_Agentflow implements INode {
const state = options.agentflowRuntime?.state as ICommonObject
const pastChatHistory = (options.pastChatHistory as BaseMessageLike[]) ?? []
const runtimeChatHistory = (options.agentflowRuntime?.chatHistory as BaseMessageLike[]) ?? []
const prependedChatHistory = options.prependedChatHistory as IMessage[]
const chatId = options.chatId as string
// Initialize the LLM model instance
@@ -382,6 +383,18 @@ class LLM_Agentflow implements INode {
// Use to keep track of past messages with image file references
let pastImageMessagesWithFileRef: BaseMessageLike[] = []
// Prepend history ONLY if it is the first node
if (prependedChatHistory.length > 0 && !runtimeChatHistory.length) {
for (const msg of prependedChatHistory) {
const role: string = msg.role === 'apiMessage' ? 'assistant' : 'user'
const content: string = msg.content ?? ''
messages.push({
role,
content
})
}
}
for (const msg of llmMessages) {
const role = msg.role
const content = msg.content