Fix VS Code Sorry, Your Request Failed Error

It can be incredibly frustrating when you're in the middle of a coding session, and suddenly, your tools just stop working. You receive an error message like, "Sorry, your request failed. Please try again," often accompanied by a Request ID. This is precisely what happened to one user, and it's a common performance issue that can halt your productivity in Microsoft VS Code. The specific error message, "model \"gpt-4o-2024-11-20-vision\" not supported for vision", points directly to a problem with how VS Code is trying to interact with a specific AI model, particularly one designed for visual input. This isn't just a minor glitch; it's a clear indicator that the communication pipeline between your VS Code environment and the AI service has encountered a significant roadblock. Understanding the root cause is the first step towards a swift resolution, allowing you to get back to your coding without further interruption.

This issue typically arises when there's a mismatch between the AI model that the extension is trying to use and the models that are actually supported by the underlying service. In this case, the error explicitly states that the gpt-4o-2024-11-20-vision model is not supported for vision tasks. This could be due to several reasons. Perhaps the extension is configured to use a newer or a specific version of the model that hasn't been fully rolled out or is not yet available in the region you're accessing it from. Another possibility is that the AI service provider has deprecated or changed the endpoint for vision models, and the VS Code extension hasn't been updated to reflect these changes. It's also worth considering that there might be a temporary service outage or a configuration issue on the server-side that's preventing certain models from being accessed. The user's system information shows they are using VS Code version 1.105.1 on macOS 24.6.0 with an Apple M3 Pro chip, and the extension version is 0.32.5. While these specifics are helpful for diagnostics, the core of the problem lies in the model compatibility. The 400 error code generally signifies a bad request, meaning the client (VS Code extension) sent something that the server couldn't understand or process due to incorrect formatting, unsupported parameters, or, as in this case, an unsupported model. This highlights the critical need for accurate model identification and support within the integration.

To tackle this performance issue in VS Code, the primary focus should be on verifying and correcting the AI model configuration. The error message is quite explicit: the gpt-4o-2024-11-20-vision model isn't supported for vision. This implies that the extension is attempting to leverage this specific model for a task that requires visual processing, but the AI service isn't equipped to handle it with that particular model identifier. The simplest solution, therefore, is to ensure that the VS Code extension is configured to use a model that is supported for vision tasks. This might involve checking the extension's settings within VS Code. Often, extensions that integrate with AI services provide options to select different models or to use default models that are known to be compatible. If you can find these settings, try switching to a different, explicitly vision-capable model, or select an option that allows the extension to automatically choose a compatible model. It's also possible that the issue stems from the extension itself. Developers of VS Code extensions are constantly updating them to work with the latest AI models and APIs. If you're using an older version of the extension, it might not be aware of the correct model names or endpoints. Therefore, a crucial step is to update the VS Code extension to its latest version. This often resolves compatibility issues, as updates typically include fixes for known bugs and support for newer model versions. You can usually update extensions directly from the VS Code marketplace or through the Extensions view in VS Code.

Beyond updating the extension and checking its configuration, further troubleshooting steps can help pinpoint and resolve the performance issue. If updating the extension doesn't immediately solve the problem, consider checking the AI service provider's documentation or status page. They might have announced changes to their model availability or API. Knowing this can help you understand if the issue is external to your setup. Sometimes, simply restarting VS Code can resolve temporary glitches that might be causing the request failure. A full system restart might also be beneficial if the issue persists. Examining the VS Code output logs can provide more granular details about the error. You can access these logs through the