Implemented [Dify.AI](https://dify.ai) Block - Dify Features: -- Can Create Multiple Chat Bots -- Assign Knowledge base/vector database to chat bots -- Variables send by client to be used in the prompt -- Options of custom and cloud AI LLMs to be changed with on click - Dify API Function/Action Implemented -- Create Chat Message (Takes in input variables, query, conversation id, user id and returns answer, usage metadata and conversation id) - Future Implantations with this block -- Streaming response -- File Upload for GPT Vision -- Speech to text action <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **New Features** - Introduced the ability to create chat messages within the Dify platform. - Added secure authentication for Dify.AI accounts. - Implemented a new Dify.AI block with integrated chat message creation and logo display. - Enabled Dify.AI block in the repository for user access. - **Enhancements** - Enhanced security for API key input by changing it to a password field. - **Documentation** - Included new types to support Dify AI service responses. - **Refactor** - Updated schema imports and array listings to include the new Dify.AI block. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Co-authored-by: Baptiste Arnaud <baptiste.arnaud95@gmail.com>
81 lines
2.5 KiB
TypeScript
81 lines
2.5 KiB
TypeScript
import { createAction, option } from '@typebot.io/forge'
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import { isDefined, isEmpty } from '@typebot.io/lib'
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import { got } from 'got'
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import { auth } from '../auth'
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import { DifyResponse } from '../types'
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import { defaultBaseUrl } from '../constants'
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export const createChatMessage = createAction({
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auth,
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name: 'Create Chat Message',
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options: option.object({
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query: option.string.layout({
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label: 'Query',
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placeholder: 'User input/question content',
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inputType: 'textarea',
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isRequired: true,
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}),
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conversation_id: option.string.layout({
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label: 'Conversation ID',
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moreInfoTooltip:
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'Used to remember the conversation with the user. If empty, a new conversation id is created.',
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}),
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user: option.string.layout({
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label: 'User',
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moreInfoTooltip:
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'The user identifier, defined by the developer, must ensure uniqueness within the app.',
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}),
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inputs: option.keyValueList.layout({
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accordion: 'Inputs',
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}),
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responseMapping: option
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.saveResponseArray(['Answer', 'Conversation ID', 'Total Tokens'])
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.layout({
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accordion: 'Save response',
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}),
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}),
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getSetVariableIds: ({ responseMapping }) =>
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responseMapping?.map((r) => r.variableId).filter(isDefined) ?? [],
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run: {
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server: async ({
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credentials: { apiEndpoint, apiKey },
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options: { conversation_id, query, user, inputs, responseMapping },
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variables,
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}) => {
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const res: DifyResponse = await got
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.post((apiEndpoint ?? defaultBaseUrl) + '/v1/chat-messages', {
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headers: {
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Authorization: `Bearer ${apiKey}`,
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},
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json: {
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inputs: inputs?.reduce((acc, { key, value }) => {
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if (isEmpty(key) || isEmpty(value)) return acc
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return {
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...acc,
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[key]: value,
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}
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}, {}),
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query,
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response_mode: 'blocking',
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conversation_id,
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user,
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},
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})
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.json()
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responseMapping?.forEach((mapping) => {
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if (!mapping.variableId) return
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const item = mapping.item ?? 'Answer'
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if (item === 'Answer') variables.set(mapping.variableId, res.answer)
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if (item === 'Conversation ID')
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variables.set(mapping.variableId, res.conversation_id)
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if (item === 'Total Tokens')
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variables.set(mapping.variableId, res.metadata.usage.total_tokens)
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})
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},
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},
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})
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