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`/var/task/node_modules/openai/_shims/agent-node.mjs` import issue in T3 stack with Vercel Edge function

Fresh3 days ago
Mar 14, 20260 views
Confidence Score51%
51%

Problem

Confirm this is a Node library issue and not an underlying OpenAI API issue - [X] This is an issue with the Node library Describe the bug The SDK throws an import error with the default T3 stack config (https://create.t3.gg/) in Edge functions with the `pages` router. First reported in LangChainJS, reproed by me with the SDK by itself: https://github.com/hwchase17/langchainjs/issues/2558 Here is the trace: [code block] To Reproduce 1. Set up an app using the T3 Stack: https://create.t3.gg/ 2. Set up an endpoint under `pages/api/route.ts` 3. Import and use the OpenAI SDK (code below) 4. Deploy to Vercel 5. Ping the endpoint Code snippets [code block] OS Vercel Edge function Node version Edge Library version openai v4.5.0

Error Output

error with the default T3 stack config (https://create.t3.gg/) in Edge functions with the `pages` router. 

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1 Fix

Canonical Fix
Unverified Fix
New Fix โ€“ Awaiting Verification

Fix OpenAI SDK Import Error in Vercel Edge Functions

Medium Risk

The OpenAI SDK relies on Node.js features that are not fully supported in the Vercel Edge runtime. Specifically, the import syntax and module resolution used in the SDK conflicts with the Edge environment, leading to import errors when deploying applications using the T3 stack.

Awaiting Verification

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  1. 1

    Update OpenAI SDK

    Check for the latest version of the OpenAI SDK that may have addressed compatibility issues with Edge functions. Update the SDK in your project.

    bash
    npm install openai@latest
  2. 2

    Use Dynamic Imports

    Modify your code to use dynamic imports for the OpenAI SDK. This can help bypass the static import issues in the Edge environment.

    typescript
    const { Configuration, OpenAIApi } = await import('openai');
  3. 3

    Check for Edge Compatibility

    Review the OpenAI SDK documentation for any notes on Edge compatibility. Ensure that you are using features supported by the Edge runtime.

  4. 4

    Test Locally with Edge Emulation

    Before deploying, test your application locally using Vercel CLI to emulate the Edge environment. This can help identify issues before deployment.

    bash
    vercel dev
  5. 5

    Deploy and Monitor

    After making the changes, deploy your application to Vercel and monitor the logs for any import errors or runtime issues.

    bash
    vercel deploy

Validation

Confirm the fix by deploying the application and pinging the endpoint. Ensure that the OpenAI SDK functions correctly without throwing import errors. Check the Vercel logs for any remaining issues.

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Environment

Submitted by

AC

Alex Chen

2450 rep

Tags

openaigptllmapibug