upgrade langchain version 0.1.0

This commit is contained in:
Henry
2024-01-26 23:41:55 +00:00
parent 601a4d6b66
commit 0606d2c6dd
180 changed files with 905 additions and 746 deletions
@@ -1,11 +1,11 @@
import { ICommonObject, INode, INodeData, INodeParams, PromptTemplate } from '../../../src/Interface'
import { AgentExecutor } from 'langchain/agents'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { LoadPyodide, finalSystemPrompt, systemPrompt } from './core'
import { LLMChain } from 'langchain/chains'
import { BaseLanguageModel } from 'langchain/base_language'
import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
import axios from 'axios'
import { BaseLanguageModel } from '@langchain/core/language_models/base'
import { AgentExecutor } from 'langchain/agents'
import { LLMChain } from 'langchain/chains'
import { ICommonObject, INode, INodeData, INodeParams, PromptTemplate } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
import { LoadPyodide, finalSystemPrompt, systemPrompt } from './core'
class Airtable_Agents implements INode {
label: string
@@ -1,13 +1,12 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { BaseChatModel } from 'langchain/chat_models/base'
import { AutoGPT } from 'langchain/experimental/autogpt'
import { Tool } from 'langchain/tools'
import { AIMessage, HumanMessage, SystemMessage } from 'langchain/schema'
import { VectorStoreRetriever } from 'langchain/vectorstores/base'
import { flatten } from 'lodash'
import { StructuredTool } from 'langchain/tools'
import { Tool, StructuredTool } from '@langchain/core/tools'
import { BaseChatModel } from '@langchain/core/language_models/chat_models'
import { AIMessage, HumanMessage, SystemMessage } from '@langchain/core/messages'
import { VectorStoreRetriever } from '@langchain/core/vectorstores'
import { PromptTemplate } from '@langchain/core/prompts'
import { AutoGPT } from 'langchain/experimental/autogpt'
import { LLMChain } from 'langchain/chains'
import { PromptTemplate } from 'langchain/prompts'
import { INode, INodeData, INodeParams } from '../../../src/Interface'
type ObjectTool = StructuredTool
const FINISH_NAME = 'finish'
@@ -1,7 +1,7 @@
import { BaseChatModel } from '@langchain/core/language_models/chat_models'
import { VectorStore } from '@langchain/core/vectorstores'
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { BabyAGI } from './core'
import { BaseChatModel } from 'langchain/chat_models/base'
import { VectorStore } from 'langchain/vectorstores/base'
class BabyAGI_Agents implements INode {
label: string
@@ -1,8 +1,8 @@
import { BaseChatModel } from '@langchain/core/language_models/chat_models'
import { VectorStore } from '@langchain/core/vectorstores'
import { Document } from '@langchain/core/documents'
import { PromptTemplate } from '@langchain/core/prompts'
import { LLMChain } from 'langchain/chains'
import { BaseChatModel } from 'langchain/chat_models/base'
import { VectorStore } from 'langchain/dist/vectorstores/base'
import { Document } from 'langchain/document'
import { PromptTemplate } from 'langchain/prompts'
class TaskCreationChain extends LLMChain {
constructor(prompt: PromptTemplate, llm: BaseChatModel) {
@@ -1,10 +1,10 @@
import { ICommonObject, INode, INodeData, INodeParams, PromptTemplate } from '../../../src/Interface'
import { BaseLanguageModel } from '@langchain/core/language_models/base'
import { AgentExecutor } from 'langchain/agents'
import { LLMChain } from 'langchain/chains'
import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
import { ICommonObject, INode, INodeData, INodeParams, PromptTemplate } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { LoadPyodide, finalSystemPrompt, systemPrompt } from './core'
import { LLMChain } from 'langchain/chains'
import { BaseLanguageModel } from 'langchain/base_language'
import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
class CSV_Agents implements INode {
label: string
@@ -1,14 +1,16 @@
import { Tool } from 'langchain/tools'
import { BaseChatModel } from 'langchain/chat_models/base'
import { flatten } from 'lodash'
import { AgentStep, BaseMessage, ChainValues, AIMessage, HumanMessage } from 'langchain/schema'
import { RunnableSequence } from 'langchain/schema/runnable'
import { Tool } from '@langchain/core/tools'
import { BaseChatModel } from '@langchain/core/language_models/chat_models'
import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages'
import { ChainValues } from '@langchain/core/utils/types'
import { AgentStep } from '@langchain/core/agents'
import { renderTemplate } from '@langchain/core/prompts'
import { RunnableSequence } from '@langchain/core/runnables'
import { ChatConversationalAgent } from 'langchain/agents'
import { getBaseClasses } from '../../../src/utils'
import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { AgentExecutor } from '../../../src/agents'
import { ChatConversationalAgent } from 'langchain/agents'
import { renderTemplate } from '@langchain/core/prompts'
const DEFAULT_PREFIX = `Assistant is a large language model trained by OpenAI.
@@ -1,13 +1,14 @@
import { ChainValues, AgentStep, BaseMessage } from 'langchain/schema'
import { flatten } from 'lodash'
import { ChatOpenAI } from 'langchain/chat_models/openai'
import { ChatPromptTemplate, MessagesPlaceholder } from 'langchain/prompts'
import { formatToOpenAIFunction } from 'langchain/tools'
import { RunnableSequence } from 'langchain/schema/runnable'
import { BaseMessage } from '@langchain/core/messages'
import { ChainValues } from '@langchain/core/utils/types'
import { AgentStep } from '@langchain/core/agents'
import { RunnableSequence } from '@langchain/core/runnables'
import { ChatOpenAI, formatToOpenAIFunction } from '@langchain/openai'
import { ChatPromptTemplate, MessagesPlaceholder } from '@langchain/core/prompts'
import { OpenAIFunctionsAgentOutputParser } from 'langchain/agents/openai/output_parser'
import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
import { OpenAIFunctionsAgentOutputParser } from 'langchain/agents/openai/output_parser'
import { AgentExecutor, formatAgentSteps } from '../../../src/agents'
const defaultMessage = `Do your best to answer the questions. Feel free to use any tools available to look up relevant information, only if necessary.`
@@ -1,10 +1,12 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { initializeAgentExecutorWithOptions, AgentExecutor } from 'langchain/agents'
import { getBaseClasses } from '../../../src/utils'
import { Tool } from 'langchain/tools'
import { BaseLanguageModel } from 'langchain/base_language'
import { flatten } from 'lodash'
import { AgentExecutor, createReactAgent } from 'langchain/agents'
import { pull } from 'langchain/hub'
import { Tool } from '@langchain/core/tools'
import type { PromptTemplate } from '@langchain/core/prompts'
import { BaseChatModel } from '@langchain/core/language_models/chat_models'
import { additionalCallbacks } from '../../../src/handler'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
class MRKLAgentChat_Agents implements INode {
label: string
@@ -20,7 +22,7 @@ class MRKLAgentChat_Agents implements INode {
constructor() {
this.label = 'ReAct Agent for Chat Models'
this.name = 'mrklAgentChat'
this.version = 1.0
this.version = 2.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'agent.svg'
@@ -34,30 +36,42 @@ class MRKLAgentChat_Agents implements INode {
list: true
},
{
label: 'Language Model',
label: 'Chat Model',
name: 'model',
type: 'BaseLanguageModel'
type: 'BaseChatModel'
}
]
}
async init(nodeData: INodeData): Promise<any> {
const model = nodeData.inputs?.model as BaseLanguageModel
let tools = nodeData.inputs?.tools as Tool[]
tools = flatten(tools)
const executor = await initializeAgentExecutorWithOptions(tools, model, {
agentType: 'chat-zero-shot-react-description',
verbose: process.env.DEBUG === 'true' ? true : false
})
return executor
async init(): Promise<any> {
return null
}
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const executor = nodeData.instance as AgentExecutor
const model = nodeData.inputs?.model as BaseChatModel
let tools = nodeData.inputs?.tools as Tool[]
tools = flatten(tools)
const promptWithChat = await pull<PromptTemplate>('hwchase17/react-chat')
const agent = await createReactAgent({
llm: model,
tools,
prompt: promptWithChat
})
const executor = new AgentExecutor({
agent,
tools,
verbose: process.env.DEBUG === 'true' ? true : false
})
const callbacks = await additionalCallbacks(nodeData, options)
const result = await executor.call({ input }, [...callbacks])
const result = await executor.invoke({
input,
callbacks
})
return result?.output
}
@@ -1,10 +1,12 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { initializeAgentExecutorWithOptions, AgentExecutor } from 'langchain/agents'
import { Tool } from 'langchain/tools'
import { getBaseClasses } from '../../../src/utils'
import { BaseLanguageModel } from 'langchain/base_language'
import { flatten } from 'lodash'
import { AgentExecutor, createReactAgent } from 'langchain/agents'
import { pull } from 'langchain/hub'
import { Tool } from '@langchain/core/tools'
import type { PromptTemplate } from '@langchain/core/prompts'
import { BaseLanguageModel } from 'langchain/base_language'
import { additionalCallbacks } from '../../../src/handler'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
class MRKLAgentLLM_Agents implements INode {
label: string
@@ -41,24 +43,35 @@ class MRKLAgentLLM_Agents implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
async init(): Promise<any> {
return null
}
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const model = nodeData.inputs?.model as BaseLanguageModel
let tools = nodeData.inputs?.tools as Tool[]
tools = flatten(tools)
const executor = await initializeAgentExecutorWithOptions(tools, model, {
agentType: 'zero-shot-react-description',
const prompt = await pull<PromptTemplate>('hwchase17/react')
const agent = await createReactAgent({
llm: model,
tools,
prompt
})
const executor = new AgentExecutor({
agent,
tools,
verbose: process.env.DEBUG === 'true' ? true : false
})
return executor
}
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const executor = nodeData.instance as AgentExecutor
const callbacks = await additionalCallbacks(nodeData, options)
const result = await executor.call({ input }, [...callbacks])
const result = await executor.invoke({
input,
callbacks
})
return result?.output
}
@@ -1,13 +1,14 @@
import { ChainValues, AgentStep, BaseMessage } from 'langchain/schema'
import { getBaseClasses } from '../../../src/utils'
import { flatten } from 'lodash'
import { RunnableSequence } from 'langchain/schema/runnable'
import { formatToOpenAIFunction } from 'langchain/tools'
import { ChatOpenAI } from 'langchain/chat_models/openai'
import { BaseMessage } from '@langchain/core/messages'
import { ChainValues } from '@langchain/core/utils/types'
import { AgentStep } from '@langchain/core/agents'
import { RunnableSequence } from '@langchain/core/runnables'
import { ChatOpenAI, formatToOpenAIFunction } from '@langchain/openai'
import { ChatPromptTemplate, MessagesPlaceholder } from '@langchain/core/prompts'
import { OpenAIFunctionsAgentOutputParser } from 'langchain/agents/openai/output_parser'
import { getBaseClasses } from '../../../src/utils'
import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
import { ChatPromptTemplate, MessagesPlaceholder } from 'langchain/prompts'
import { OpenAIFunctionsAgentOutputParser } from 'langchain/agents/openai/output_parser'
import { AgentExecutor, formatAgentSteps } from '../../../src/agents'
class OpenAIFunctionAgent_Agents implements INode {