Chore/Update issue templates and add new tools (#4687)

* Enhancement: Update issue templates and add new tools

- Updated bug report template to include a default label of 'bug'.
- Updated feature request template to include a default label of 'enhancement'.
- Added new credential class for Agentflow API.
- Enhanced Agent and HTTP nodes to improve tool management and error handling.
- Added deprecation badges to several agent and chain classes.
- Introduced new tools for handling requests (GET, POST, DELETE, PUT) with improved error handling.
- Added new chatflows and agentflows for various use cases, including document QnA and translation.
- Updated UI components for better handling of agent flows and marketplace interactions.
- Refactored utility functions for improved functionality and clarity.

* Refactor: Remove beta badge and streamline template title assignment

- Removed the 'BETA' badge from the ExtractMetadataRetriever class.
- Simplified the title assignment in the agentflowv2 generator by using a variable instead of inline string manipulation.

packages/components/nodes/agentflow/Agent/Agent.ts

@@ -496,18 +496,21 @@ class Agent_Agentflow implements INode {
                     }
                 }
                 const toolInstance = await newToolNodeInstance.init(newNodeData, '', options)
-                if (tool.agentSelectedToolRequiresHumanInput) {
-                    toolInstance.requiresHumanInput = true
-                }
 
                 // toolInstance might returns a list of tools like MCP tools
                 if (Array.isArray(toolInstance)) {
                     for (const subTool of toolInstance) {
                         const subToolInstance = subTool as Tool
                         ;(subToolInstance as any).agentSelectedTool = tool.agentSelectedTool
+                        if (tool.agentSelectedToolRequiresHumanInput) {
+                            ;(subToolInstance as any).requiresHumanInput = true
+                        }
                         toolsInstance.push(subToolInstance)
                     }
                 } else {
+                    if (tool.agentSelectedToolRequiresHumanInput) {
+                        toolInstance.requiresHumanInput = true
+                    }
                     toolsInstance.push(toolInstance as Tool)
                 }
             }
@@ -929,7 +932,14 @@ class Agent_Agentflow implements INode {
             }
 
             // Prepare final response and output object
-            const finalResponse = (response.content as string) ?? JSON.stringify(response, null, 2)
+            let finalResponse = ''
+            if (response.content && Array.isArray(response.content)) {
+                finalResponse = response.content.map((item: any) => item.text).join('\n')
+            } else if (response.content && typeof response.content === 'string') {
+                finalResponse = response.content
+            } else {
+                finalResponse = JSON.stringify(response, null, 2)
+            }
             const output = this.prepareOutputObject(
                 response,
                 availableTools,
@@ -1374,6 +1384,7 @@ class Agent_Agentflow implements INode {
         const usedTools: IUsedTool[] = []
         let sourceDocuments: Array<any> = []
         let artifacts: any[] = []
+        let isWaitingForHumanInput: boolean | undefined
 
         // Process each tool call
         for (let i = 0; i < response.tool_calls.length; i++) {
@@ -1536,7 +1547,8 @@ class Agent_Agentflow implements INode {
                 usedTools: recursiveUsedTools,
                 sourceDocuments: recursiveSourceDocuments,
                 artifacts: recursiveArtifacts,
-                totalTokens: recursiveTokens
+                totalTokens: recursiveTokens,
+                isWaitingForHumanInput: recursiveIsWaitingForHumanInput
             } = await this.handleToolCalls({
                 response: newResponse,
                 messages,
@@ -1558,9 +1570,10 @@ class Agent_Agentflow implements INode {
             sourceDocuments = [...sourceDocuments, ...recursiveSourceDocuments]
             artifacts = [...artifacts, ...recursiveArtifacts]
             totalTokens += recursiveTokens
+            isWaitingForHumanInput = recursiveIsWaitingForHumanInput
         }
 
-        return { response: newResponse, usedTools, sourceDocuments, artifacts, totalTokens }
+        return { response: newResponse, usedTools, sourceDocuments, artifacts, totalTokens, isWaitingForHumanInput }
     }
 
     /**
@@ -1660,7 +1673,14 @@ class Agent_Agentflow implements INode {
 
                 if (humanInput.type === 'reject') {
                     messages.pop()
-                    toolsInstance = toolsInstance.filter((tool) => tool.name !== toolCall.name)
+                    const toBeRemovedTool = toolsInstance.find((tool) => tool.name === toolCall.name)
+                    if (toBeRemovedTool) {
+                        toolsInstance = toolsInstance.filter((tool) => tool.name !== toolCall.name)
+                        // Remove other tools with the same agentSelectedTool such as MCP tools
+                        toolsInstance = toolsInstance.filter(
+                            (tool) => (tool as any).agentSelectedTool !== (toBeRemovedTool as any).agentSelectedTool
+                        )
+                    }
                 }
                 if (humanInput.type === 'proceed') {
                     let toolIds: ICommonObject | undefined

packages/components/nodes/agentflow/HTTP/HTTP.ts

@@ -336,6 +336,9 @@ class HTTP_Agentflow implements INode {
         } catch (error) {
             console.error('HTTP Request Error:', error)
 
+            const errorMessage =
+                error.response?.data?.message || error.response?.data?.error || error.message || 'An error occurred during the HTTP request'
+
             // Format error response
             const errorResponse: any = {
                 id: nodeData.id,
@@ -353,7 +356,7 @@ class HTTP_Agentflow implements INode {
                 },
                 error: {
                     name: error.name || 'Error',
-                    message: error.message || 'An error occurred during the HTTP request'
+                    message: errorMessage
                 },
                 state
             }
@@ -366,7 +369,7 @@ class HTTP_Agentflow implements INode {
                 errorResponse.error.headers = error.response.headers
             }
 
-            throw new Error(error)
+            throw new Error(errorMessage)
         }
     }
 }

packages/components/nodes/agentflow/LLM/LLM.ts

@@ -262,6 +262,7 @@ class LLM_Agentflow implements INode {
 }`,
                         description: 'JSON schema for the structured output',
                         optional: true,
+                        hideCodeExecute: true,
                         show: {
                             'llmStructuredOutput[$index].type': 'jsonArray'
                         }
@@ -486,8 +487,15 @@ class LLM_Agentflow implements INode {
             }
 
             // Prepare final response and output object
-            const finalResponse = (response.content as string) ?? JSON.stringify(response, null, 2)
-            const output = this.prepareOutputObject(response, finalResponse, startTime, endTime, timeDelta)
+            let finalResponse = ''
+            if (response.content && Array.isArray(response.content)) {
+                finalResponse = response.content.map((item: any) => item.text).join('\n')
+            } else if (response.content && typeof response.content === 'string') {
+                finalResponse = response.content
+            } else {
+                finalResponse = JSON.stringify(response, null, 2)
+            }
+            const output = this.prepareOutputObject(response, finalResponse, startTime, endTime, timeDelta, isStructuredOutput)
 
             // End analytics tracking
             if (analyticHandlers && llmIds) {
@@ -853,7 +861,8 @@ class LLM_Agentflow implements INode {
         finalResponse: string,
         startTime: number,
         endTime: number,
-        timeDelta: number
+        timeDelta: number,
+        isStructuredOutput: boolean
     ): any {
         const output: any = {
             content: finalResponse,
@@ -872,6 +881,15 @@ class LLM_Agentflow implements INode {
             output.usageMetadata = response.usage_metadata
         }
 
+        if (isStructuredOutput && typeof response === 'object') {
+            const structuredOutput = response as Record<string, any>
+            for (const key in structuredOutput) {
+                if (structuredOutput[key]) {
+                    output[key] = structuredOutput[key]
+                }
+            }
+        }
+
         return output
     }