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Files
bot/packages/bot-engine/blocks/integrations/openai/executeChatCompletionOpenAIRequest.ts
2023-09-20 15:42:34 +02:00

116 lines
2.9 KiB
TypeScript

import { isNotEmpty } from '@typebot.io/lib/utils'
import { ChatReply } from '@typebot.io/schemas'
import { OpenAIBlock } from '@typebot.io/schemas/features/blocks/integrations/openai'
import { HTTPError } from 'got'
import {
Configuration,
OpenAIApi,
type CreateChatCompletionRequest,
type CreateChatCompletionResponse,
ResponseTypes,
} from 'openai-edge'
type Props = Pick<CreateChatCompletionRequest, 'messages' | 'model'> & {
apiKey: string
temperature: number | undefined
currentLogs?: ChatReply['logs']
isRetrying?: boolean
} & Pick<OpenAIBlock['options'], 'apiVersion' | 'baseUrl'>
export const executeChatCompletionOpenAIRequest = async ({
apiKey,
model,
messages,
temperature,
baseUrl,
apiVersion,
isRetrying,
currentLogs = [],
}: Props): Promise<{
response?: CreateChatCompletionResponse
logs?: ChatReply['logs']
}> => {
const logs: ChatReply['logs'] = currentLogs
if (messages.length === 0) return { logs }
try {
const config = new Configuration({
apiKey,
basePath: baseUrl,
baseOptions: {
headers: {
'api-key': apiKey,
},
},
defaultQueryParams: isNotEmpty(apiVersion)
? new URLSearchParams({
'api-version': apiVersion,
})
: undefined,
})
const openai = new OpenAIApi(config)
const response = await openai.createChatCompletion({
model,
messages,
temperature,
})
const completion =
(await response.json()) as ResponseTypes['createChatCompletion']
return { response: completion, logs }
} catch (error) {
if (error instanceof HTTPError) {
if (
(error.response.statusCode === 503 ||
error.response.statusCode === 500 ||
error.response.statusCode === 403) &&
!isRetrying
) {
console.log('OpenAI API error - 503, retrying in 3 seconds')
await new Promise((resolve) => setTimeout(resolve, 3000))
return executeChatCompletionOpenAIRequest({
apiKey,
model,
messages,
temperature,
currentLogs: logs,
baseUrl,
apiVersion,
isRetrying: true,
})
}
if (error.response.statusCode === 400) {
const log = {
status: 'info',
description:
'Max tokens limit reached, automatically trimming first message.',
}
logs.push(log)
return executeChatCompletionOpenAIRequest({
apiKey,
model,
messages: messages.slice(1),
temperature,
currentLogs: logs,
baseUrl,
apiVersion,
})
}
logs.push({
status: 'error',
description: `OpenAI API error - ${error.response.statusCode}`,
details: error.response.body,
})
return { logs }
}
logs.push({
status: 'error',
description: `Internal error`,
details: error,
})
return { logs }
}
}