100 lines
3.9 KiB
TypeScript
100 lines
3.9 KiB
TypeScript
![]() |
import FieldSchema, { InputField, SelectField } from '@/components/dashboard/nodes/common/Fields';
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import { ClsHeaderSkeleton, DefaultContent, ToolbarSkeleton } from '@/components/dashboard/nodes/common/ToolbarSkeleton';
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import { ValidatorContext } from '@/contexts/ValidatorContext';
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import useDnDStore from '@/stores/useDnDStore';
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import { OAIModelsEnum } from '@/utils/enum';
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import { InformationCircleIcon } from '@heroicons/react/24/outline';
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import React from 'react';
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import { Handle, NodeToolbar, Position, NodeProps as ReactFlowNodeProps, useReactFlow } from 'reactflow';
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import { DotbaseNodesEnum } from '../types/nodeTypes';
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const Nexus: React.FC<ReactFlowNodeProps> = (props) => {
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const { errors } = React.useContext(ValidatorContext);
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const { updateNode } = useDnDStore();
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const { getNode } = useReactFlow();
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const data = getNode(props.id)?.data;
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const [toolbarVisible, setToolbarVisible] = React.useState(false);
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const onAgentNameChange = (e: React.ChangeEvent<HTMLInputElement>) => {
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const val = e.target.value.trim();
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updateNode(props.id, { variableName: val });
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};
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const onSystemPromptChange = (e: React.ChangeEvent<HTMLInputElement>) => {
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const val = e.target.value;
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updateNode(props.id, { systemPrompt: val });
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};
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return (
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<div className="rounded-sm bg-slate-500/10 text-white w-[280px] border-none">
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<div
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className={`${DotbaseNodesEnum.NEXUS} flex justify-between items-center border-b border-gray-200 py-2`}
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>
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<div className="font-bold ml-2">NEXUS</div>
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<InformationCircleIcon
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width={20}
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className="text-gray-300 mr-2"
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onMouseEnter={() => setToolbarVisible(true)}
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onMouseLeave={() => setToolbarVisible(false)}
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/>
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<NodeToolbar isVisible={toolbarVisible} position={Position.Top}>
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<ToolbarSkeleton
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header={<ClsHeaderSkeleton name="Nexus" />}
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content={
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<DefaultContent
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name="Nexus"
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description="is a subclass of ConversableAgent configured with a default system message. The default system message is designed to solve a task with LLM, including suggesting python code blocks and debugging."
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docTeaser={`Agent Name: Name of the agent. (ex: my_nexus_1)\n\nSystem Message: A message for the ChatCompletion inference. LLM: Any large language model provided by OpenAI for the agent to consume.`}
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/>
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}
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/>
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</NodeToolbar>
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</div>
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<div className="pb-2 px-2 bg-slate-500/10 text-sm">
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<FieldSchema
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field={
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<InputField
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label="Agent Name"
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placeholder="my_agent"
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required
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onChange={onAgentNameChange}
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type="text"
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value={data?.variableName}
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/>
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}
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errors={errors?.[props.id]?.variableName}
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/>
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<FieldSchema
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field={
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<InputField
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label="System Message"
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onChange={onSystemPromptChange}
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type="text"
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value={data?.systemPrompt}
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placeholder='solve task xyz with LLM"'
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/>
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}
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errors={errors?.[props.id]?.systemPrompt}
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/>
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<FieldSchema
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field={
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<SelectField
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label="LLM"
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selected={data?.selectedModel || OAIModelsEnum.GPT_3_5_TURBO}
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onChange={(e) => updateNode(props.id, { selectedModel: e.target.value })}
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options={Object.values(OAIModelsEnum)}
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/>
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}
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errors={errors?.[props.id]?.selectedModel}
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/>
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</div>
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<Handle type="target" position={Position.Top} className="rounded-none border-none w-16" />
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<Handle type="source" position={Position.Bottom} className="rounded-none border-none w-16" />
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</div>
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);
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};
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export default Nexus;
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