Hello @baptisteArno, As we discussed in issue #1315 we created a basic implementation of Anthropic’s Claude AI block. This block is based on the OpenAI block and shares a similar structure. The most notable changes in this PR are: - Added the Claude AI block. - Added relevant documentation for the new block. - Formatted some other source files in order to pass git pre-hook checks. Some notes to be made: - Currently there is no way to dynamically fetch the model’s versions since there is no endpoint provided by the SDK. - All pre version-3 Claude models are hard-coded constant variables. - We have opened an issue for that on the SDK repository [here](https://github.com/anthropics/anthropic-sdk-typescript/issues/313). - We can implement in a new PR Claude’s new [Vision system](https://docs.anthropic.com/claude/docs/vision) which allows for image analysis and understanding. - This can be done in a later phase, given that you agree of course. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **New Features** - Introduced the Anthropic block for creating chat messages with Claude AI in Typebot. - Added functionality to create chat messages using Anthropic AI SDK with configurable options. - Implemented encrypted credentials for Anthropic account integration. - Added constants and helpers for better handling of chat messages with Anthropic models. - Included Anthropic block in the list of enabled and forged blocks for broader access. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Co-authored-by: Retr0-01 <contact@retr0.dev> Co-authored-by: Baptiste Arnaud <baptiste.arnaud95@gmail.com> Co-authored-by: Baptiste Arnaud <contact@baptiste-arnaud.fr>
86 lines
2.5 KiB
TypeScript
86 lines
2.5 KiB
TypeScript
import { createAction } from '@typebot.io/forge'
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import OpenAI, { ClientOptions } from 'openai'
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import { defaultOpenAIOptions } from '../constants'
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import { auth } from '../auth'
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import { baseOptions } from '../baseOptions'
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import { parseChatCompletionOptions } from '../shared/parseChatCompletionOptions'
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import { getChatCompletionSetVarIds } from '../shared/getChatCompletionSetVarIds'
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import { runChatCompletion } from '../shared/runChatCompletion'
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import { runChatCompletionStream } from '../shared/runChatCompletionStream'
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import { getChatCompletionStreamVarId } from '../shared/getChatCompletionStreamVarId'
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export const createChatCompletion = createAction({
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name: 'Create chat completion',
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auth,
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baseOptions,
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options: parseChatCompletionOptions({
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defaultModel: defaultOpenAIOptions.model,
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defaultTemperature: defaultOpenAIOptions.temperature,
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modelFetchId: 'fetchModels',
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}),
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getSetVariableIds: getChatCompletionSetVarIds,
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turnableInto: [
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{
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blockType: 'open-router',
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},
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{
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blockType: 'together-ai',
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},
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{ blockType: 'mistral' },
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{ blockType: 'anthropic' },
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],
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fetchers: [
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{
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id: 'fetchModels',
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dependencies: ['baseUrl', 'apiVersion'],
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fetch: async ({ credentials, options }) => {
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const baseUrl = options?.baseUrl ?? defaultOpenAIOptions.baseUrl
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const config = {
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apiKey: credentials.apiKey,
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baseURL: baseUrl ?? defaultOpenAIOptions.baseUrl,
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defaultHeaders: {
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'api-key': credentials.apiKey,
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},
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defaultQuery: options?.apiVersion
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? {
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'api-version': options.apiVersion,
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}
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: undefined,
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} satisfies ClientOptions
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const openai = new OpenAI(config)
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const models = await openai.models.list()
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return (
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models.data
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.filter((model) => model.id.includes('gpt'))
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.sort((a, b) => b.created - a.created)
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.map((model) => model.id) ?? []
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)
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},
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},
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],
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run: {
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server: (params) =>
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runChatCompletion({
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...params,
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config: {
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baseUrl: defaultOpenAIOptions.baseUrl,
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defaultModel: defaultOpenAIOptions.model,
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},
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}),
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stream: {
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getStreamVariableId: getChatCompletionStreamVarId,
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run: (params) =>
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runChatCompletionStream({
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...params,
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config: {
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baseUrl: defaultOpenAIOptions.baseUrl,
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defaultModel: defaultOpenAIOptions.model,
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},
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}),
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},
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},
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})
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