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feat: AI / ML Api integration #4572

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@D1m7asis D1m7asis commented Jun 3, 2025

Screenshot 2025-06-03 191605
Screenshot 2025-06-03 191553

@HenryHengZJ HenryHengZJ requested a review from Copilot June 24, 2025 18:32
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Pull Request Overview

This PR introduces integration for the AI / ML API into the Chat Models component, wrapping the external API endpoints with a new node interface and corresponding credential management.

  • Added a new ChatAIMLAPI node to interact with the AI / ML API.
  • Implemented a loadModels method to dynamically fetch available chat-completion models.
  • Introduced a new credential class to securely manage the AI / ML API key.

Reviewed Changes

Copilot reviewed 2 out of 3 changed files in this pull request and generated 2 comments.

File Description
packages/components/nodes/chatmodels/ChatAIMLApi/ChatAIMLAPI.ts Adds the ChatAIMLAPI node implementation and dynamic model loading method.
packages/components/credentials/AIMLApi.credential.ts Introduces the credential class for managing AI / ML API keys.
Comments suppressed due to low confidence (1)

packages/components/credentials/AIMLApi.credential.ts:7

  • [nitpick] Consider providing a value for the description property in the credential class to enhance clarity and documentation for end users.
    description: string

async listModels(): Promise<INodeOptionsValue[]> {
const returnData: INodeOptionsValue[] = []
try {
const response = await fetch('https://api.aimlapi.com/v1/models')
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Copilot AI Jun 24, 2025

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Consider checking response.ok before processing the JSON response. For example, add logic to throw an error if the response status is not OK to ensure proper error handling.

Suggested change
const response = await fetch('https://api.aimlapi.com/v1/models')
const response = await fetch('https://api.aimlapi.com/v1/models')
if (!response.ok) {
throw new Error(`Failed to fetch models: ${response.status} ${response.statusText}`)
}

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Comment on lines +59 to +60
//@ts-ignore
loadMethods = {
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Copilot AI Jun 24, 2025

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[nitpick] Review the necessity of the ts-ignore directive for loadMethods; updating the types may improve maintainability and help catch potential issues at compile time.

Suggested change
//@ts-ignore
loadMethods = {
loadMethods: {
listModels: () => Promise<INodeOptionsValue[]>
} = {

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