mirror of
https://github.com/langgenius/dify.git
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288 lines
8.6 KiB
TypeScript
288 lines
8.6 KiB
TypeScript
import { InputVarType } from '@/app/components/workflow/types'
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import { AgentStrategy } from '@/types/app'
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import { PromptRole } from '@/models/debug'
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import { PipelineInputVarType } from '@/models/pipeline'
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import { DatasetAttr } from '@/types/feature'
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const getBooleanConfig = (envVar: string | undefined, dataAttrKey: DatasetAttr, defaultValue: boolean = true) => {
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if (envVar !== undefined && envVar !== '')
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return envVar === 'true'
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const attrValue = globalThis.document?.body?.getAttribute(dataAttrKey)
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if (attrValue !== undefined && attrValue !== '')
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return attrValue === 'true'
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return defaultValue
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}
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const getNumberConfig = (envVar: string | undefined, dataAttrKey: DatasetAttr, defaultValue: number) => {
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if (envVar)
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return Number.parseInt(envVar)
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const attrValue = globalThis.document?.body?.getAttribute(dataAttrKey)
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if (attrValue)
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return Number.parseInt(attrValue)
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return defaultValue
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}
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const getStringConfig = (envVar: string | undefined, dataAttrKey: DatasetAttr, defaultValue: string) => {
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if (envVar)
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return envVar
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const attrValue = globalThis.document?.body?.getAttribute(dataAttrKey)
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if (attrValue)
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return attrValue
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return defaultValue
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}
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export const API_PREFIX = getStringConfig(process.env.NEXT_PUBLIC_API_PREFIX, DatasetAttr.DATA_API_PREFIX, 'http://localhost:5001/console/api')
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export const PUBLIC_API_PREFIX = getStringConfig(process.env.NEXT_PUBLIC_PUBLIC_API_PREFIX, DatasetAttr.DATA_PUBLIC_API_PREFIX, 'http://localhost:5001/api')
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export const MARKETPLACE_API_PREFIX = getStringConfig(process.env.NEXT_PUBLIC_MARKETPLACE_API_PREFIX, DatasetAttr.DATA_MARKETPLACE_API_PREFIX, 'http://localhost:5002/api')
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export const MARKETPLACE_URL_PREFIX = getStringConfig(process.env.NEXT_PUBLIC_MARKETPLACE_URL_PREFIX, DatasetAttr.DATA_MARKETPLACE_URL_PREFIX, '')
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const EDITION = getStringConfig(process.env.NEXT_PUBLIC_EDITION, DatasetAttr.DATA_PUBLIC_EDITION, 'SELF_HOSTED')
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export const IS_CE_EDITION = EDITION === 'SELF_HOSTED'
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export const IS_CLOUD_EDITION = EDITION === 'CLOUD'
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export const SUPPORT_MAIL_LOGIN = !!(process.env.NEXT_PUBLIC_SUPPORT_MAIL_LOGIN || globalThis.document?.body?.getAttribute('data-public-support-mail-login'))
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export const TONE_LIST = [
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{
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id: 1,
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name: 'Creative',
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config: {
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temperature: 0.8,
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top_p: 0.9,
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presence_penalty: 0.1,
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frequency_penalty: 0.1,
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},
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},
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{
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id: 2,
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name: 'Balanced',
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config: {
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temperature: 0.5,
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top_p: 0.85,
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presence_penalty: 0.2,
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frequency_penalty: 0.3,
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},
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},
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{
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id: 3,
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name: 'Precise',
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config: {
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temperature: 0.2,
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top_p: 0.75,
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presence_penalty: 0.5,
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frequency_penalty: 0.5,
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},
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},
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{
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id: 4,
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name: 'Custom',
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},
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]
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export const DEFAULT_CHAT_PROMPT_CONFIG = {
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prompt: [
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{
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role: PromptRole.system,
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text: '',
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},
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],
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}
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export const DEFAULT_COMPLETION_PROMPT_CONFIG = {
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prompt: {
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text: '',
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},
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conversation_histories_role: {
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user_prefix: '',
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assistant_prefix: '',
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},
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}
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export const getMaxToken = (modelId: string) => {
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return (modelId === 'gpt-4' || modelId === 'gpt-3.5-turbo-16k') ? 8000 : 4000
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}
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export const LOCALE_COOKIE_NAME = 'locale'
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export const DEFAULT_VALUE_MAX_LEN = 48
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export const DEFAULT_PARAGRAPH_VALUE_MAX_LEN = 1000
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export const zhRegex = /^[\u4E00-\u9FA5]$/m
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export const emojiRegex = /^[\uD800-\uDBFF][\uDC00-\uDFFF]$/m
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export const emailRegex = /^[\w.!#$%&'*+\-/=?^{|}~]+@([\w-]+\.)+[\w-]{2,}$/m
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const MAX_ZN_VAR_NAME_LENGTH = 8
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const MAX_EN_VAR_VALUE_LENGTH = 30
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export const getMaxVarNameLength = (value: string) => {
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if (zhRegex.test(value))
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return MAX_ZN_VAR_NAME_LENGTH
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return MAX_EN_VAR_VALUE_LENGTH
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}
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export const MAX_VAR_KEY_LENGTH = 30
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export const MAX_PROMPT_MESSAGE_LENGTH = 10
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export const VAR_ITEM_TEMPLATE = {
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key: '',
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name: '',
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type: 'string',
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max_length: DEFAULT_VALUE_MAX_LEN,
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required: true,
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}
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export const VAR_ITEM_TEMPLATE_IN_WORKFLOW = {
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variable: '',
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label: '',
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type: InputVarType.textInput,
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max_length: DEFAULT_VALUE_MAX_LEN,
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required: true,
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options: [],
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}
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export const VAR_ITEM_TEMPLATE_IN_PIPELINE = {
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variable: '',
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label: '',
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type: PipelineInputVarType.textInput,
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max_length: DEFAULT_VALUE_MAX_LEN,
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required: true,
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options: [],
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}
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export const appDefaultIconBackground = '#D5F5F6'
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export const NEED_REFRESH_APP_LIST_KEY = 'needRefreshAppList'
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export const DATASET_DEFAULT = {
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top_k: 4,
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score_threshold: 0.8,
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}
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export const APP_PAGE_LIMIT = 10
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export const ANNOTATION_DEFAULT = {
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score_threshold: 0.9,
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}
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export const DEFAULT_AGENT_SETTING = {
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enabled: false,
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max_iteration: 10,
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strategy: AgentStrategy.functionCall,
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tools: [],
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}
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export const DEFAULT_AGENT_PROMPT = {
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chat: `Respond to the human as helpfully and accurately as possible.
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{{instruction}}
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You have access to the following tools:
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{{tools}}
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Use a json blob to specify a tool by providing an {{TOOL_NAME_KEY}} key (tool name) and an {{ACTION_INPUT_KEY}} key (tool input).
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Valid "{{TOOL_NAME_KEY}}" values: "Final Answer" or {{tool_names}}
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Provide only ONE action per $JSON_BLOB, as shown:
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\`\`\`
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{
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"{{TOOL_NAME_KEY}}": $TOOL_NAME,
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"{{ACTION_INPUT_KEY}}": $ACTION_INPUT
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}
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\`\`\`
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Follow this format:
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Question: input question to answer
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Thought: consider previous and subsequent steps
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Action:
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\`\`\`
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$JSON_BLOB
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\`\`\`
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Observation: action result
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... (repeat Thought/Action/Observation N times)
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Thought: I know what to respond
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Action:
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\`\`\`
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{
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"{{TOOL_NAME_KEY}}": "Final Answer",
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"{{ACTION_INPUT_KEY}}": "Final response to human"
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}
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\`\`\`
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Begin! Reminder to ALWAYS respond with a valid json blob of a single action. Use tools if necessary. Respond directly if appropriate. Format is Action:\`\`\`$JSON_BLOB\`\`\`then Observation:.`,
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completion: `
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Respond to the human as helpfully and accurately as possible.
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{{instruction}}
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You have access to the following tools:
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{{tools}}
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Use a json blob to specify a tool by providing an {{TOOL_NAME_KEY}} key (tool name) and an {{ACTION_INPUT_KEY}} key (tool input).
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Valid "{{TOOL_NAME_KEY}}" values: "Final Answer" or {{tool_names}}
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Provide only ONE action per $JSON_BLOB, as shown:
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\`\`\`
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{{{{
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"{{TOOL_NAME_KEY}}": $TOOL_NAME,
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"{{ACTION_INPUT_KEY}}": $ACTION_INPUT
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}}}}
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\`\`\`
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Follow this format:
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Question: input question to answer
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Thought: consider previous and subsequent steps
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Action:
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\`\`\`
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$JSON_BLOB
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\`\`\`
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Observation: action result
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... (repeat Thought/Action/Observation N times)
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Thought: I know what to respond
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Action:
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\`\`\`
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{{{{
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"{{TOOL_NAME_KEY}}": "Final Answer",
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"{{ACTION_INPUT_KEY}}": "Final response to human"
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}}}}
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\`\`\`
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Begin! Reminder to ALWAYS respond with a valid json blob of a single action. Use tools if necessary. Respond directly if appropriate. Format is Action:\`\`\`$JSON_BLOB\`\`\`then Observation:.
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Question: {{query}}
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Thought: {{agent_scratchpad}}
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`,
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}
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export const VAR_REGEX = /\{\{(#[a-zA-Z0-9_-]{1,50}(\.\d+)?(\.[a-zA-Z_]\w{0,29}){1,10}#)\}\}/gi
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export const resetReg = () => VAR_REGEX.lastIndex = 0
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export const DISABLE_UPLOAD_IMAGE_AS_ICON = process.env.NEXT_PUBLIC_DISABLE_UPLOAD_IMAGE_AS_ICON === 'true'
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export const GITHUB_ACCESS_TOKEN = process.env.NEXT_PUBLIC_GITHUB_ACCESS_TOKEN || ''
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export const SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS = '.difypkg,.difybndl'
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export const FULL_DOC_PREVIEW_LENGTH = 50
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export const JSON_SCHEMA_MAX_DEPTH = 10
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export const MAX_TOOLS_NUM = getNumberConfig(process.env.NEXT_PUBLIC_MAX_TOOLS_NUM, DatasetAttr.DATA_PUBLIC_MAX_TOOLS_NUM, 10)
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export const TEXT_GENERATION_TIMEOUT_MS = getNumberConfig(process.env.NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS, DatasetAttr.DATA_PUBLIC_TEXT_GENERATION_TIMEOUT_MS, 60000)
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export const LOOP_NODE_MAX_COUNT = getNumberConfig(process.env.NEXT_PUBLIC_LOOP_NODE_MAX_COUNT, DatasetAttr.DATA_PUBLIC_LOOP_NODE_MAX_COUNT, 100)
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export const MAX_ITERATIONS_NUM = getNumberConfig(process.env.NEXT_PUBLIC_MAX_ITERATIONS_NUM, DatasetAttr.DATA_PUBLIC_MAX_ITERATIONS_NUM, 99)
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export const MAX_TREE_DEPTH = getNumberConfig(process.env.NEXT_PUBLIC_MAX_TREE_DEPTH, DatasetAttr.DATA_PUBLIC_MAX_TREE_DEPTH, 50)
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export const ENABLE_WEBSITE_JINAREADER = getBooleanConfig(process.env.NEXT_PUBLIC_ENABLE_WEBSITE_JINAREADER, DatasetAttr.DATA_PUBLIC_ENABLE_WEBSITE_JINAREADER, true)
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export const ENABLE_WEBSITE_FIRECRAWL = getBooleanConfig(process.env.NEXT_PUBLIC_ENABLE_WEBSITE_FIRECRAWL, DatasetAttr.DATA_PUBLIC_ENABLE_WEBSITE_FIRECRAWL, true)
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export const ENABLE_WEBSITE_WATERCRAWL = getBooleanConfig(process.env.NEXT_PUBLIC_ENABLE_WEBSITE_WATERCRAWL, DatasetAttr.DATA_PUBLIC_ENABLE_WEBSITE_WATERCRAWL, false)
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export const VALUE_SELECTOR_DELIMITER = '@@@'
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