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Chore/upgrade llamaindex version (FlowiseAI#2440)
* updates to loader to support file upload * adding a todo * upgrade llamaindex * update groq icon * update azure models * update llamaindex version --------- Co-authored-by: Henry <hzj94@hotmail.com>
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packages/components/nodes/agents/LlamaIndexAgents/AnthropicAgent/Anthropic.svg
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...es/components/nodes/agents/LlamaIndexAgents/OpenAIToolAgent/OpenAIToolAgent_LlamaIndex.ts
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,167 @@ | ||
| import { flatten } from 'lodash' | ||
| import { ChatMessage, OpenAI, OpenAIAgent } from 'llamaindex' | ||
| import { getBaseClasses } from '../../../../src/utils' | ||
| import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeParams, IUsedTool } from '../../../../src/Interface' | ||
|
|
||
| class OpenAIFunctionAgent_LlamaIndex_Agents implements INode { | ||
| label: string | ||
| name: string | ||
| version: number | ||
| description: string | ||
| type: string | ||
| icon: string | ||
| category: string | ||
| baseClasses: string[] | ||
| tags: string[] | ||
| inputs: INodeParams[] | ||
| sessionId?: string | ||
| badge?: string | ||
|
|
||
| constructor(fields?: { sessionId?: string }) { | ||
| this.label = 'OpenAI Tool Agent' | ||
| this.name = 'openAIToolAgentLlamaIndex' | ||
| this.version = 2.0 | ||
| this.type = 'OpenAIToolAgent' | ||
| this.category = 'Agents' | ||
| this.icon = 'function.svg' | ||
| this.description = `Agent that uses OpenAI Function Calling to pick the tools and args to call using LlamaIndex` | ||
| this.baseClasses = [this.type, ...getBaseClasses(OpenAIAgent)] | ||
| this.tags = ['LlamaIndex'] | ||
| this.inputs = [ | ||
| { | ||
| label: 'Tools', | ||
| name: 'tools', | ||
| type: 'Tool_LlamaIndex', | ||
| list: true | ||
| }, | ||
| { | ||
| label: 'Memory', | ||
| name: 'memory', | ||
| type: 'BaseChatMemory' | ||
| }, | ||
| { | ||
| label: 'OpenAI/Azure Chat Model', | ||
| name: 'model', | ||
| type: 'BaseChatModel_LlamaIndex' | ||
| }, | ||
| { | ||
| label: 'System Message', | ||
| name: 'systemMessage', | ||
| type: 'string', | ||
| rows: 4, | ||
| optional: true, | ||
| additionalParams: true | ||
| } | ||
| ] | ||
| this.sessionId = fields?.sessionId | ||
| } | ||
|
|
||
| async init(): Promise<any> { | ||
| return null | ||
| } | ||
|
|
||
| async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string | ICommonObject> { | ||
| const memory = nodeData.inputs?.memory as FlowiseMemory | ||
| const model = nodeData.inputs?.model as OpenAI | ||
| const systemMessage = nodeData.inputs?.systemMessage as string | ||
| let tools = nodeData.inputs?.tools | ||
| tools = flatten(tools) | ||
|
|
||
| const isStreamingEnabled = options.socketIO && options.socketIOClientId | ||
|
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| const chatHistory = [] as ChatMessage[] | ||
|
|
||
| if (systemMessage) { | ||
| chatHistory.push({ | ||
| content: systemMessage, | ||
| role: 'system' | ||
| }) | ||
| } | ||
|
|
||
| const msgs = (await memory.getChatMessages(this.sessionId, false)) as IMessage[] | ||
| for (const message of msgs) { | ||
| if (message.type === 'apiMessage') { | ||
| chatHistory.push({ | ||
| content: message.message, | ||
| role: 'assistant' | ||
| }) | ||
| } else if (message.type === 'userMessage') { | ||
| chatHistory.push({ | ||
| content: message.message, | ||
| role: 'user' | ||
| }) | ||
| } | ||
| } | ||
|
|
||
| const agent = new OpenAIAgent({ | ||
| tools, | ||
| llm: model, | ||
| chatHistory: chatHistory, | ||
| verbose: process.env.DEBUG === 'true' ? true : false | ||
| }) | ||
|
|
||
| let text = '' | ||
| let isStreamingStarted = false | ||
| const usedTools: IUsedTool[] = [] | ||
|
|
||
| if (isStreamingEnabled) { | ||
| const stream = await agent.chat({ | ||
| message: input, | ||
| chatHistory, | ||
| stream: true, | ||
| verbose: process.env.DEBUG === 'true' ? true : false | ||
| }) | ||
| for await (const chunk of stream) { | ||
| //console.log('chunk', chunk) | ||
| text += chunk.response.delta | ||
| if (!isStreamingStarted) { | ||
| isStreamingStarted = true | ||
| options.socketIO.to(options.socketIOClientId).emit('start', chunk.response.delta) | ||
| if (chunk.sources.length) { | ||
| for (const sourceTool of chunk.sources) { | ||
| usedTools.push({ | ||
| tool: sourceTool.tool?.metadata.name ?? '', | ||
| toolInput: sourceTool.input, | ||
| toolOutput: sourceTool.output as any | ||
| }) | ||
| } | ||
| options.socketIO.to(options.socketIOClientId).emit('usedTools', usedTools) | ||
| } | ||
| } | ||
|
|
||
| options.socketIO.to(options.socketIOClientId).emit('token', chunk.response.delta) | ||
| } | ||
| } else { | ||
| const response = await agent.chat({ message: input, chatHistory, verbose: process.env.DEBUG === 'true' ? true : false }) | ||
| if (response.sources.length) { | ||
| for (const sourceTool of response.sources) { | ||
| usedTools.push({ | ||
| tool: sourceTool.tool?.metadata.name ?? '', | ||
| toolInput: sourceTool.input, | ||
| toolOutput: sourceTool.output as any | ||
| }) | ||
| } | ||
| } | ||
|
|
||
| text = response.response.message.content as string | ||
| } | ||
|
|
||
| await memory.addChatMessages( | ||
| [ | ||
| { | ||
| text: input, | ||
| type: 'userMessage' | ||
| }, | ||
| { | ||
| text: text, | ||
| type: 'apiMessage' | ||
| } | ||
| ], | ||
| this.sessionId | ||
| ) | ||
|
|
||
| return usedTools.length ? { text: text, usedTools } : text | ||
| } | ||
| } | ||
|
|
||
| module.exports = { nodeClass: OpenAIFunctionAgent_LlamaIndex_Agents } |
9 changes: 9 additions & 0 deletions
9
packages/components/nodes/agents/LlamaIndexAgents/OpenAIToolAgent/function.svg
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