mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-28 15:00:57 +03:00
Several features for OpenAPI toolkit and OpenAI Assistants (#3989)
* Allows 'x-strict' attribute in OpenAPI spec tool and other json spec objects, this allows the OpenAI Assistant to have function calls with 'strict' mode. Also allows the OpenAI assistant to call several tools in the same run. And adds a checkbox 'remove Nulls' for the OpenAPI toolkit so that parameters with null values are not passed to the backend api. * fix lint errors --------- Co-authored-by: Olivier Schiavo <olivier.schiavo@wengo.com>
This commit is contained in:
owengo
@@ -18,6 +18,7 @@ import { AnalyticHandler } from '../../../src/handler'
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import { Moderation, checkInputs, streamResponse } from '../../moderation/Moderation'
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import { formatResponse } from '../../outputparsers/OutputParserHelpers'
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import { addSingleFileToStorage } from '../../../src/storageUtils'
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import { DynamicStructuredTool } from '../../tools/OpenAPIToolkit/core'
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const lenticularBracketRegex = /【[^】]*】/g
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const imageRegex = /<img[^>]*\/>/g
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@@ -504,7 +505,6 @@ class OpenAIAssistant_Agents implements INode {
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toolCallId: item.id
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})
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})
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const submitToolOutputs = []
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for (let i = 0; i < actions.length; i += 1) {
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const tool = tools.find((tool: any) => tool.name === actions[i].tool)
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@@ -539,30 +539,23 @@ class OpenAIAssistant_Agents implements INode {
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}
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try {
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const stream = openai.beta.threads.runs.submitToolOutputsStream(threadId, runThreadId, {
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tool_outputs: submitToolOutputs
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await handleToolSubmission({
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openai,
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threadId,
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runThreadId,
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submitToolOutputs,
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tools,
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analyticHandlers,
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parentIds,
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llmIds,
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sseStreamer,
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chatId,
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options,
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input,
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usedTools,
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text,
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isStreamingStarted
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})
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for await (const event of stream) {
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if (event.event === 'thread.message.delta') {
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const chunk = event.data.delta.content?.[0]
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if (chunk && 'text' in chunk && chunk.text?.value) {
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text += chunk.text.value
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if (!isStreamingStarted) {
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isStreamingStarted = true
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if (sseStreamer) {
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sseStreamer.streamStartEvent(chatId, chunk.text.value)
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}
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}
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if (sseStreamer) {
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sseStreamer.streamTokenEvent(chatId, chunk.text.value)
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}
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}
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}
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}
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if (sseStreamer) {
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sseStreamer.streamUsedToolsEvent(chatId, usedTools)
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}
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} catch (error) {
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console.error('Error submitting tool outputs:', error)
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await openai.beta.threads.runs.cancel(threadId, runThreadId)
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@@ -634,7 +627,6 @@ class OpenAIAssistant_Agents implements INode {
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toolCallId: item.id
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})
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})
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const submitToolOutputs = []
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for (let i = 0; i < actions.length; i += 1) {
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const tool = tools.find((tool: any) => tool.name === actions[i].tool)
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@@ -895,15 +887,212 @@ const downloadFile = async (openAIApiKey: string, fileObj: any, fileName: string
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}
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}
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interface ToolSubmissionParams {
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openai: OpenAI
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threadId: string
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runThreadId: string
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submitToolOutputs: any[]
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tools: any[]
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analyticHandlers: AnalyticHandler
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parentIds: ICommonObject
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llmIds: ICommonObject
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sseStreamer: IServerSideEventStreamer
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chatId: string
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options: ICommonObject
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input: string
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usedTools: IUsedTool[]
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text: string
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isStreamingStarted: boolean
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}
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interface ToolSubmissionResult {
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text: string
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isStreamingStarted: boolean
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}
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async function handleToolSubmission(params: ToolSubmissionParams): Promise<ToolSubmissionResult> {
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const {
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openai,
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threadId,
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runThreadId,
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submitToolOutputs,
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tools,
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analyticHandlers,
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parentIds,
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llmIds,
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sseStreamer,
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chatId,
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options,
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input,
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usedTools
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} = params
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let updatedText = params.text
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let updatedIsStreamingStarted = params.isStreamingStarted
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const stream = openai.beta.threads.runs.submitToolOutputsStream(threadId, runThreadId, {
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tool_outputs: submitToolOutputs
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})
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try {
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for await (const event of stream) {
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if (event.event === 'thread.message.delta') {
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const chunk = event.data.delta.content?.[0]
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if (chunk && 'text' in chunk && chunk.text?.value) {
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updatedText += chunk.text.value
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if (!updatedIsStreamingStarted) {
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updatedIsStreamingStarted = true
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if (sseStreamer) {
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sseStreamer.streamStartEvent(chatId, chunk.text.value)
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}
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}
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if (sseStreamer) {
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sseStreamer.streamTokenEvent(chatId, chunk.text.value)
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}
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}
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} else if (event.event === 'thread.run.requires_action') {
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if (event.data.required_action?.submit_tool_outputs.tool_calls) {
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const actions: ICommonObject[] = []
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event.data.required_action.submit_tool_outputs.tool_calls.forEach((item) => {
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const functionCall = item.function
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let args = {}
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try {
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args = JSON.parse(functionCall.arguments)
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} catch (e) {
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console.error('Error parsing arguments, default to empty object')
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}
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actions.push({
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tool: functionCall.name,
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toolInput: args,
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toolCallId: item.id
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})
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})
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const nestedToolOutputs = []
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for (let i = 0; i < actions.length; i += 1) {
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const tool = tools.find((tool: any) => tool.name === actions[i].tool)
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if (!tool) continue
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const toolIds = await analyticHandlers.onToolStart(tool.name, actions[i].toolInput, parentIds)
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try {
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const toolOutput = await tool.call(actions[i].toolInput, undefined, undefined, {
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sessionId: threadId,
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chatId: options.chatId,
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input
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})
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await analyticHandlers.onToolEnd(toolIds, toolOutput)
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nestedToolOutputs.push({
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tool_call_id: actions[i].toolCallId,
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output: toolOutput
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})
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usedTools.push({
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tool: tool.name,
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toolInput: actions[i].toolInput,
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toolOutput
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})
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} catch (e) {
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await analyticHandlers.onToolEnd(toolIds, e)
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console.error('Error executing tool', e)
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throw new Error(`Error executing tool. Tool: ${tool.name}. Thread ID: ${threadId}. Run ID: ${runThreadId}`)
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}
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}
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// Recursively handle nested tool submissions
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const result = await handleToolSubmission({
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openai,
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threadId,
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runThreadId,
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submitToolOutputs: nestedToolOutputs,
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tools,
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analyticHandlers,
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parentIds,
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llmIds,
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sseStreamer,
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chatId,
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options,
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input,
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usedTools,
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text: updatedText,
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isStreamingStarted: updatedIsStreamingStarted
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})
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updatedText = result.text
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updatedIsStreamingStarted = result.isStreamingStarted
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}
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}
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}
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if (sseStreamer) {
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sseStreamer.streamUsedToolsEvent(chatId, usedTools)
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}
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return {
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text: updatedText,
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isStreamingStarted: updatedIsStreamingStarted
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}
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} catch (error) {
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console.error('Error submitting tool outputs:', error)
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await openai.beta.threads.runs.cancel(threadId, runThreadId)
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const errMsg = `Error submitting tool outputs. Thread ID: ${threadId}. Run ID: ${runThreadId}`
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await analyticHandlers.onLLMError(llmIds, errMsg)
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await analyticHandlers.onChainError(parentIds, errMsg, true)
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throw new Error(errMsg)
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}
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}
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interface JSONSchema {
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type?: string
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properties?: Record<string, JSONSchema>
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additionalProperties?: boolean
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required?: string[]
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[key: string]: any
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}
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const formatToOpenAIAssistantTool = (tool: any): OpenAI.Beta.FunctionTool => {
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return {
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const parameters = zodToJsonSchema(tool.schema) as JSONSchema
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// For strict tools, we need to:
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// 1. Set additionalProperties to false
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// 2. Make all parameters required
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// 3. Set the strict flag
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if (tool instanceof DynamicStructuredTool && tool.isStrict()) {
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// Get all property names from the schema
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const properties = parameters.properties || {}
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const allPropertyNames = Object.keys(properties)
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parameters.additionalProperties = false
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parameters.required = allPropertyNames
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// Handle nested objects
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for (const [_, prop] of Object.entries(properties)) {
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if (prop.type === 'object') {
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prop.additionalProperties = false
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if (prop.properties) {
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prop.required = Object.keys(prop.properties)
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}
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}
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}
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}
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const functionTool: OpenAI.Beta.FunctionTool = {
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type: 'function',
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function: {
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name: tool.name,
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description: tool.description,
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parameters: zodToJsonSchema(tool.schema)
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parameters
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}
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}
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// Add strict property if the tool is marked as strict
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if (tool instanceof DynamicStructuredTool && tool.isStrict()) {
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;(functionTool.function as any).strict = true
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}
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return functionTool
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}
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module.exports = { nodeClass: OpenAIAssistant_Agents }
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