ragflow/web/src/constants/agent.ts

import { setInitialChatVariableEnabledFieldValue } from '@/utils/chat';
import { ChatVariableEnabledField, variableEnabledFieldMap } from './chat';

export enum ProgrammingLanguage {
  Python = 'python',
  Javascript = 'javascript',
}

export const CodeTemplateStrMap = {
  [ProgrammingLanguage.Python]: `def main(arg1: str, arg2: str) -> str:
    return f"result: {arg1 + arg2}"
`,
  [ProgrammingLanguage.Javascript]: `const axios = require('axios');
async function main({}) {
  try {
    const response = await axios.get('https://github.com/infiniflow/ragflow');
    return 'Body:' + response.data;
  } catch (error) {
    return 'Error:' + error.message;
  }
}`,
};

export enum AgentGlobals {
  SysQuery = 'sys.query',
  SysUserId = 'sys.user_id',
  SysConversationTurns = 'sys.conversation_turns',
  SysFiles = 'sys.files',
}

export const AgentGlobalsSysQueryWithBrace = `{${AgentGlobals.SysQuery}}`;

export const variableCheckBoxFieldMap = Object.keys(
  variableEnabledFieldMap,
).reduce<Record<string, boolean>>((pre, cur) => {
  pre[cur] = setInitialChatVariableEnabledFieldValue(
    cur as ChatVariableEnabledField,
  );
  return pre;
}, {});

export const initialLlmBaseValues = {
  ...variableCheckBoxFieldMap,
  temperature: 0.1,
  top_p: 0.3,
  frequency_penalty: 0.7,
  presence_penalty: 0.4,
  max_tokens: 256,
};

export enum AgentCategory {
  AgentCanvas = 'agent_canvas',
  DataflowCanvas = 'dataflow_canvas',
}

export enum DataflowOperator {
  Begin = 'File',
  Note = 'Note',
  Parser = 'Parser',
  Tokenizer = 'Tokenizer',
  Splitter = 'Splitter',
  HierarchicalMerger = 'HierarchicalMerger',
  Extractor = 'Extractor',
}