add localAI

This commit is contained in:
Henry
2023-05-19 01:08:13 +01:00
parent 0c16bcad74
commit a80492e4c4
7 changed files with 263 additions and 171 deletions
@@ -1,10 +1,10 @@
import { ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { initializeAgentExecutorWithOptions, AgentExecutor, InitializeAgentExecutorOptions } from 'langchain/agents'
import { Tool } from 'langchain/tools'
import { BaseChatModel } from 'langchain/chat_models/base'
import { BaseChatMemory, ChatMessageHistory } from 'langchain/memory'
import { getBaseClasses } from '../../../src/utils'
import { AIChatMessage, HumanChatMessage } from 'langchain/schema'
import { BaseLanguageModel } from 'langchain/base_language'
class ConversationalAgent_Agents implements INode {
label: string
@@ -32,9 +32,9 @@ class ConversationalAgent_Agents implements INode {
list: true
},
{
label: 'Chat Model',
label: 'Language Model',
name: 'model',
type: 'BaseChatModel'
type: 'BaseLanguageModel'
},
{
label: 'Memory',
@@ -61,7 +61,7 @@ class ConversationalAgent_Agents implements INode {
}
async init(nodeData: INodeData): Promise<any> {
const model = nodeData.inputs?.model as BaseChatModel
const model = nodeData.inputs?.model as BaseLanguageModel
let tools = nodeData.inputs?.tools as Tool[]
tools = tools.flat()
const memory = nodeData.inputs?.memory as BaseChatMemory
@@ -1,8 +1,8 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { initializeAgentExecutorWithOptions, AgentExecutor } from 'langchain/agents'
import { BaseChatModel } from 'langchain/chat_models/base'
import { getBaseClasses } from '../../../src/utils'
import { Tool } from 'langchain/tools'
import { BaseLanguageModel } from 'langchain/base_language'
class MRKLAgentChat_Agents implements INode {
label: string
@@ -30,15 +30,15 @@ class MRKLAgentChat_Agents implements INode {
list: true
},
{
label: 'Chat Model',
label: 'Language Model',
name: 'model',
type: 'BaseChatModel'
type: 'BaseLanguageModel'
}
]
}
async init(nodeData: INodeData): Promise<any> {
const model = nodeData.inputs?.model as BaseChatModel
const model = nodeData.inputs?.model as BaseLanguageModel
let tools = nodeData.inputs?.tools as Tool[]
tools = tools.flat()
const executor = await initializeAgentExecutorWithOptions(tools, model, {
@@ -0,0 +1,92 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { OpenAIChat } from 'langchain/llms/openai'
import { OpenAIChatInput } from 'langchain/chat_models/openai'
class ChatLocalAI_ChatModels implements INode {
label: string
name: string
type: string
icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'ChatLocalAI'
this.name = 'chatLocalAI'
this.type = 'ChatLocalAI'
this.icon = 'localai.png'
this.category = 'Chat Models'
this.description = 'Use local LLMs like llama.cpp, gpt4all using LocalAI'
this.baseClasses = [this.type, ...getBaseClasses(OpenAIChat)]
this.inputs = [
{
label: 'Base Path',
name: 'basePath',
type: 'string',
placeholder: 'http://localhost:8080/v1'
},
{
label: 'Model Name',
name: 'modelName',
type: 'string',
placeholder: 'gpt4all-lora-quantized.bin'
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
default: 0.9,
optional: true
},
{
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Top Probability',
name: 'topP',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Timeout',
name: 'timeout',
type: 'number',
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as string
const maxTokens = nodeData.inputs?.maxTokens as string
const topP = nodeData.inputs?.topP as string
const timeout = nodeData.inputs?.timeout as string
const basePath = nodeData.inputs?.basePath as string
const obj: Partial<OpenAIChatInput> & { openAIApiKey?: string } = {
temperature: parseInt(temperature, 10),
modelName,
openAIApiKey: 'sk-'
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseInt(topP, 10)
if (timeout) obj.timeout = parseInt(timeout, 10)
const model = new OpenAIChat(obj, { basePath })
return model
}
}
module.exports = { nodeClass: ChatLocalAI_ChatModels }
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