Add OpenAI ChatGPT integration with REST API endpoints by Copilot · Pull Request #5 · lippytm/Web3AI

Copilot · 2025-12-14T17:09:27Z

Implements OpenAI ChatGPT integration with RESTful API endpoints for programmatic AI interaction.

Implementation

Core Module (openai-chat.js)

OpenAIChat class encapsulating OpenAI API client
sendMessage() - basic chat with conversation history support
sendMessageWithSystem() - chat with custom system prompts
Input/response validation to prevent runtime errors

API Server (index.js)

GET /health - server status check
POST /chat - send messages with optional conversation context
POST /chat/system - send messages with system-level instructions
Startup validation for required OPENAI_API_KEY

Configuration

.env.example template with OPENAI_API_KEY, PORT, OPENAI_MODEL
.gitignore excludes secrets and dependencies

Dependencies

express@4.19.2, openai@4.20.0, dotenv@16.3.1

Usage Example

# Basic chat
curl -X POST http://localhost:3000/chat \
  -H "Content-Type: application/json" \
  -d '{"message": "Explain Web3"}'

# With system prompt
curl -X POST http://localhost:3000/chat/system \
  -H "Content-Type: application/json" \
  -d '{
    "message": "Explain blockchain", 
    "systemPrompt": "You are a technical educator"
  }'

Response includes success status, AI message, token usage, and model metadata.

Warning

Firewall rules blocked me from connecting to one or more addresses (expand for details)

I tried to connect to the following addresses, but was blocked by firewall rules:

api.openai.com
- Triggering command: /usr/local/bin/node node index.js (dns block)

If you need me to access, download, or install something from one of these locations, you can either:

Configure Actions setup steps to set up my environment, which run before the firewall is enabled
Add the appropriate URLs or hosts to the custom allowlist in this repository's Copilot coding agent settings (admins only)

Original prompt

Problem:

You want to enhance the existing Web3AI project by integrating OpenAI ChatGPT capabilities. This involves setting up functionality to interact with OpenAI's GPT models, making it possible to send requests and receive responses programmatically.

Solution:

I will extend the Web3AI project with the following features:

OpenAI ChatGPT Integration:

Add Node.js code to set up an API for interacting with OpenAI ChatGPT.

Include methods to send prompts to ChatGPT and retrieve generated responses.

Environment Variables:

Update the .env and .env.example files to include the OpenAI API key and other configurations.

API Endpoints:

Create RESTful API endpoints to handle ChatGPT requests.

Examples:

/chat: An endpoint to send messages and receive ChatGPT responses.

Documentation:

Add detailed instructions in the README file for setting up and using the OpenAI ChatGPT integration.

Deliverables:

Node.js module (openai-chat.js) that handles communication with OpenAI ChatGPT using the openai npm package.

Updated .env and .env.example files with the OpenAI API key configuration.

API endpoints in index.js to manage OpenAI ChatGPT requests.

Updated README file with setup and usage instructions.

This pull request was created as a result of the following prompt from Copilot chat.

Problem:

You want to enhance the existing Web3AI project by integrating OpenAI ChatGPT capabilities. This involves setting up functionality to interact with OpenAI's GPT models, making it possible to send requests and receive responses programmatically.

Solution:

I will extend the Web3AI project with the following features:

OpenAI ChatGPT Integration:

Add Node.js code to set up an API for interacting with OpenAI ChatGPT.

Include methods to send prompts to ChatGPT and retrieve generated responses.

Environment Variables:

Update the .env and .env.example files to include the OpenAI API key and other configurations.

API Endpoints:

Create RESTful API endpoints to handle ChatGPT requests.

Examples:

/chat: An endpoint to send messages and receive ChatGPT responses.

Documentation:

Add detailed instructions in the README file for setting up and using the OpenAI ChatGPT integration.

Deliverables:

Node.js module (openai-chat.js) that handles communication with OpenAI ChatGPT using the openai npm package.

Updated .env and .env.example files with the OpenAI API key configuration.

API endpoints in index.js to manage OpenAI ChatGPT requests.

Updated README file with setup and usage instructions.

💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.

Co-authored-by: lippytm <65956507+lippytm@users.noreply.github.com>

Copilot

Pull request overview

This PR adds an OpenAI ChatGPT integration to the Web3AI project, exposing RESTful endpoints for programmatic chat interactions and documenting setup/usage. The changes introduce an OpenAIChat helper, an Express server with /health, /chat, and /chat/system endpoints, and supporting configuration/docs.

Changes:

Add OpenAIChat class wrapping the OpenAI Chat Completions API, including basic validation and common response shaping.
Implement an Express-based API server (index.js) with health and chat endpoints, plus environment-based configuration (API key, port, model).
Provide project metadata (package.json), environment template (.env.example), .gitignore entries, and a detailed README describing installation and API usage.

Reviewed changes

Copilot reviewed 5 out of 6 changed files in this pull request and generated 4 comments.

Show a summary per file

File	Description
`package.json`	Defines project metadata, scripts, and dependencies for the Express/OpenAI-based API server (note: Express version here currently diverges from the PR description).
`openai-chat.js`	Implements the `OpenAIChat` helper class for sending messages (with optional history or system prompt) to OpenAI and normalizing responses/errors.
`index.js`	Sets up the Express server, validates presence of `OPENAI_API_KEY`, and exposes `/health`, `/chat`, and `/chat/system` endpoints on the configured port.
`README.md`	Documents setup, environment variables, endpoints, example requests/responses, and project structure for the new ChatGPT integration.
`.gitignore`	Ensures `node_modules`, `.env`, and lockfile are excluded from version control, protecting secrets and reducing repo noise.
`.env.example`	Provides a template for required environment variables (API key, port, and model) for the ChatGPT integration.

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Copilot · 2026-02-01T04:39:40Z

openai-chat.js

+      // Build messages array with conversation history
+      const messages = [
+        ...conversationHistory,


conversationHistory is spread directly into the messages array without validating its type or structure; if a client sends a non-array value (e.g. a string or object), this will be iterated incorrectly and produce a malformed messages payload for the OpenAI API. Consider validating that conversationHistory is an array of { role, content } objects (or defaulting to an empty array when it is not) before constructing messages.

Suggested change

// Build messages array with conversation history

const messages = [

...conversationHistory,

// Build messages array with validated conversation history

const safeConversationHistory = Array.isArray(conversationHistory)

? conversationHistory.filter(msg =>

msg &&

typeof msg === 'object' &&

typeof msg.role === 'string' &&

typeof msg.content === 'string'

)

: [];

const messages = [

...safeConversationHistory,

Copilot · 2026-02-01T04:39:41Z

package.json

+  "dependencies": {
+    "dotenv": "^16.3.1",
+    "express": "^4.18.2",


The PR description specifies express@4.19.2, but package.json declares "express": "^4.18.2"; this discrepancy can confuse consumers about which version is actually required. Please align the documented dependency version with the one declared here (or update the dependency if the newer version is intended).

Copilot · 2026-02-01T04:39:41Z

index.js

+app.post('/chat', async (req, res) => {
+  try {
+    const { message, conversationHistory } = req.body;
+
+    if (!message) {
+      return res.status(400).json({
+        success: false,
+        error: 'Message is required'
+      });
+    }
+
+    const response = await openaiChat.sendMessage(message, conversationHistory);
+
+    if (response.success) {
+      res.json(response);
+    } else {
+      res.status(500).json(response);
+    }


Validation errors in OpenAIChat.sendMessage (e.g. non-string message) are converted into { success: false, error: ... }, which the /chat endpoint then returns with HTTP 500, even though these are client-side input issues. To keep API semantics clear, consider either performing full input validation in the route handler and returning HTTP 400 for invalid payloads, or distinguishing validation errors from upstream/OpenAI failures so that only true server errors result in 500 responses.

Copilot · 2026-02-01T04:39:41Z

openai-chat.js

+      const completion = await this.client.chat.completions.create({
+        model: this.model,
+        messages: messages,
+      });
+
+      // Validate response
+      if (!completion.choices || completion.choices.length === 0) {
+        throw new Error('No response received from OpenAI');
+      }
+
+      const response = completion.choices[0].message.content;
+
+      return {
+        success: true,
+        message: response,
+        model: this.model,
+        usage: completion.usage,
+        finishReason: completion.choices[0].finish_reason
+      };


sendMessage and sendMessageWithSystem duplicate most of the request/response handling logic (building the OpenAI request, validating choices, shaping the return object, and error handling), which makes future changes harder to keep in sync. Consider extracting the shared OpenAI call/response logic into a common helper so that differences between the two methods are limited to how the messages array is constructed.

Initial plan

a557ce1

Copilot AI assigned Copilot and lippytm Dec 14, 2025

Copilot started work on behalf of lippytm December 14, 2025 17:10 View session

Copilot AI and others added 3 commits December 14, 2025 17:12

Add OpenAI ChatGPT integration with API endpoints

c05e180

Co-authored-by: lippytm <65956507+lippytm@users.noreply.github.com>

Fix validation and error handling in openai-chat.js

7dbb5ef

Co-authored-by: lippytm <65956507+lippytm@users.noreply.github.com>

Add API key validation at server startup

d8eadb0

Co-authored-by: lippytm <65956507+lippytm@users.noreply.github.com>

Copilot AI changed the title ~~[WIP] Add OpenAI ChatGPT integration to Web3AI project~~ Add OpenAI ChatGPT integration with REST API endpoints Dec 14, 2025

Copilot AI requested a review from lippytm December 14, 2025 17:20

Copilot finished work on behalf of lippytm December 14, 2025 17:20

lippytm requested review from Copilot and removed request for lippytm February 1, 2026 04:36

lippytm marked this pull request as ready for review February 1, 2026 04:37

Copilot started reviewing on behalf of lippytm February 1, 2026 04:37 View session

Copilot AI reviewed Feb 1, 2026

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Add OpenAI ChatGPT integration with REST API endpoints#5

Add OpenAI ChatGPT integration with REST API endpoints#5
Copilot wants to merge 4 commits intomainfrom
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Copilot AI commented Dec 14, 2025 •

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-      // Build messages array with conversation history
-      const messages = [
-        ...conversationHistory,
+      // Build messages array with validated conversation history
+      const safeConversationHistory = Array.isArray(conversationHistory)
+        ? conversationHistory.filter(msg =>
+            msg &&
+            typeof msg === 'object' &&
+            typeof msg.role === 'string' &&
+            typeof msg.content === 'string'
+          )
+        : [];
+      const messages = [
+        ...safeConversationHistory,

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Implementation

Usage Example

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Problem:

Solution:

Deliverables:

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Copilot AI commented Dec 14, 2025 •

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