Add more nodes for agents, loaders

packages/components/nodes/agents/ConversationalAgent/ConversationalAgent.ts

@@ -0,0 +1,64 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+
+class ConversationalAgent_Agents implements INode {
+    label: string
+    name: string
+    description: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Conversational Agent'
+        this.name = 'conversationalAgent'
+        this.type = 'AgentExecutor'
+        this.category = 'Agents'
+        this.icon = 'agent.svg'
+        this.description = 'Conversational agent for a chat model. It will utilize chat specific prompts'
+        this.inputs = [
+            {
+                label: 'Allowed Tools',
+                name: 'tools',
+                type: 'Tool',
+                list: true
+            },
+            {
+                label: 'Chat Model',
+                name: 'model',
+                type: 'BaseChatModel'
+            },
+            {
+                label: 'Memory',
+                name: 'memory',
+                type: 'BaseChatMemory'
+            }
+        ]
+    }
+
+    async getBaseClasses(): Promise<string[]> {
+        return ['AgentExecutor']
+    }
+
+    async init(nodeData: INodeData): Promise<any> {
+        const { initializeAgentExecutor } = await import('langchain/agents')
+
+        const model = nodeData.inputs?.model
+        const tools = nodeData.inputs?.tools
+        const memory = nodeData.inputs?.memory
+
+        const executor = await initializeAgentExecutor(tools, model, 'chat-conversational-react-description', true)
+        executor.memory = memory
+        return executor
+    }
+
+    async run(nodeData: INodeData, input: string): Promise<string> {
+        const executor = nodeData.instance
+        const result = await executor.call({ input })
+
+        return result?.output
+    }
+}
+
+module.exports = { nodeClass: ConversationalAgent_Agents }

packages/components/nodes/agents/ConversationalAgent/agent.svg

@@ -0,0 +1,9 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-robot" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
+   <path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
+   <path d="M7 7h10a2 2 0 0 1 2 2v1l1 1v3l-1 1v3a2 2 0 0 1 -2 2h-10a2 2 0 0 1 -2 -2v-3l-1 -1v-3l1 -1v-1a2 2 0 0 1 2 -2z"></path>
+   <path d="M10 16h4"></path>
+   <circle cx="8.5" cy="11.5" r=".5" fill="currentColor"></circle>
+   <circle cx="15.5" cy="11.5" r=".5" fill="currentColor"></circle>
+   <path d="M9 7l-1 -4"></path>
+   <path d="M15 7l1 -4"></path>
+</svg>

packages/components/nodes/agents/MRLKAgentChat/MRLKAgentChat.ts

@@ -0,0 +1,58 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+
+class MRLKAgentChat_Agents implements INode {
+    label: string
+    name: string
+    description: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'MRLK Agent for Chat Models'
+        this.name = 'mrlkAgentChat'
+        this.type = 'AgentExecutor'
+        this.category = 'Agents'
+        this.icon = 'agent.svg'
+        this.description = 'Agent that uses the ReAct Framework to decide what action to take, optimized to be used with Chat Models'
+        this.inputs = [
+            {
+                label: 'Allowed Tools',
+                name: 'tools',
+                type: 'Tool',
+                list: true
+            },
+            {
+                label: 'Chat Model',
+                name: 'model',
+                type: 'BaseChatModel'
+            }
+        ]
+    }
+
+    async getBaseClasses(): Promise<string[]> {
+        return ['AgentExecutor']
+    }
+
+    async init(nodeData: INodeData): Promise<any> {
+        const { initializeAgentExecutor } = await import('langchain/agents')
+
+        const model = nodeData.inputs?.model
+        const tools = nodeData.inputs?.tools
+
+        const executor = await initializeAgentExecutor(tools, model, 'chat-zero-shot-react-description', true)
+
+        return executor
+    }
+
+    async run(nodeData: INodeData, input: string): Promise<string> {
+        const executor = nodeData.instance
+        const result = await executor.call({ input })
+
+        return result?.output
+    }
+}
+
+module.exports = { nodeClass: MRLKAgentChat_Agents }

packages/components/nodes/agents/MRLKAgentChat/agent.svg

@@ -0,0 +1,9 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-robot" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
+   <path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
+   <path d="M7 7h10a2 2 0 0 1 2 2v1l1 1v3l-1 1v3a2 2 0 0 1 -2 2h-10a2 2 0 0 1 -2 -2v-3l-1 -1v-3l1 -1v-1a2 2 0 0 1 2 -2z"></path>
+   <path d="M10 16h4"></path>
+   <circle cx="8.5" cy="11.5" r=".5" fill="currentColor"></circle>
+   <circle cx="15.5" cy="11.5" r=".5" fill="currentColor"></circle>
+   <path d="M9 7l-1 -4"></path>
+   <path d="M15 7l1 -4"></path>
+</svg>

packages/components/nodes/agents/MRLKAgentLLM/MRLKAgentLLM.ts

@@ -1,6 +1,6 @@
 import { INode, INodeData, INodeParams } from '../../../src/Interface'
 
-class MRLKAgentLLM implements INode {
+class MRLKAgentLLM_Agents implements INode {
     label: string
     name: string
     description: string
@@ -55,4 +55,4 @@ class MRLKAgentLLM implements INode {
     }
 }
 
-module.exports = { nodeClass: MRLKAgentLLM }
+module.exports = { nodeClass: MRLKAgentLLM_Agents }