"Sorry, I Can 27t Assist With That": Understanding GitHub Copilot & ChatGPT Error Responses in VS Code

Why Do You See "Sorry, I Can't Assist With That" in VS Code Copilot and ChatGPT?

If you've been frustrated by repeated "Sorry, I can't assist with that" responses from GitHub Copilot in VS Code or from ChatGPT, you're not alone. Many users see this error when a request can't be processed—often with no explanation or helpful feedback. The core issue is that both AI systems are designed with content policies and technical safeguards, which sometimes result in blocked or refused requests—even when your question seems straightforward. Understanding when, why, and how these messages appear can help you save time, avoid wasted tokens, and use these tools more effectively.

Common Scenarios Where Copilot and ChatGPT Refuse Assistance

GitHub Copilot and ChatGPT each have internal guidelines to prevent responses to requests that might violate their terms of service, pose ethical concerns, or surpass system limitations. Ordinary questions can trigger the "Sorry, I can't assist with that" message if the prompt is misinterpreted as problematic or unsupported. For example, users wanting to see full code snippets or sensitive information might unknowingly enter requests that the AI cannot or will not handle.

A notable frustration stems from the lack of actionable feedback. As described on GitHub's Copilot issue tracker, users wish for clear guidance on how to phrase questions differently. Without clarity, it can feel like you're guessing at invisible rules.

This error is not unique to VS Code Copilot. Similar reports appear across the OpenAI ecosystem, such as repeated denials from ChatGPT described on the OpenAI Community forums. Both environments are designed to err on the side of caution, but the drawback is lost user productivity when refusals aren’t clear.

Technical and Ethical Safeguards Behind the Message

The refusal to assist usually arises from one of several mechanisms:

• Content and Policy Filters: Both GitHub Copilot and ChatGPT have strict filters to block outputs related to sensitive data, unsafe code, personal information, or content violating terms of service. These are designed to protect users and avoid unintended consequences. A question about code that might manipulate systems irresponsibly could get blocked, even if your intent is ethical.
• Input & Output Limitations: Requests that are too broad, computationally expensive, or ambiguous can trigger a denial. For example, asking for extended lyrics, code dumps, or actions beyond the system's technical scope may prompt the system to say it can’t help, even though a human could understand your actual intent.
• Refusal Training: As explained in this OpenAI API discussion, GPT-4o and Copilot models are trained to refuse requests based on system-level instructions. These refusals can occur with little or no explanation to the user, highlighting the need for more adaptive feedback loops.

Understanding these mechanisms offers insight into why some requests—innocuous as they may seem—are declined by default.

What Users Want: Adaptability and Clearer Guidance

User feedback repeatedly calls for more adaptive and informative error handling. As highlighted in the GitHub Copilot issue #3283, the lack of suggestions on how to rephrase or clarify prompts leads to frustration. Users are left wasting time and tokens "guessing" what the system will accept.

Some propose that Copilot and related tools include prompt extension capabilities or give contextual hints—offering a feedback loop rather than a flat refusal. For instance, if a question about Justin Bieber lyrics or code for a certain function triggers an error, the system might suggest narrowing the topic, phrasing the request differently, or specifying the format and intent.

Developers echo similar frustrations in other AI environments. Without visible reason codes, even standard help requests can be blocked. Enhanced transparency would make the tools more user-friendly and productive.

Real-World Impacts: Productivity and Developer Experience

These repeated refusals have a tangible impact. Many users report giving up after seeing "Sorry, I can't assist with that" multiple times when working in Visual Studio Code with Copilot, or when using ChatGPT for creative or technical tasks. Wasted tokens and lost work momentum add to the frustration.

Workarounds exist, but they’re hardly elegant. Some users copy prompts to other services, try to distill questions into more granular pieces, or consult documentation and community forums for guidance. While these strategies sometimes help, they shouldn’t be required for basic interaction with AI assistants.

As pointed out across community discussions, environments like GitHub Copilot, OpenAI's GPT, and ChatGPT must strike a better balance between safety and usability. Until then, recognizing the boundaries of these systems can help you ask questions more likely to receive helpful responses.

Taking Action: Steps Toward a More Helpful Copilot and ChatGPT

If you keep seeing "Sorry, I can't assist with that" in GitHub Copilot or ChatGPT, try the following approaches:

• Clarify Your Request: Break down complex questions into simpler, more specific requests. Instead of asking for an entire song's lyrics or a complex codebase, specify a segment or functionality you need help with.
• Review Documentation and Community Tips: Explore live community resources and documentation to learn about content limitations, supported formats, and best practices for phrasing prompts. Sites like the Copilot issue tracker and OpenAI forums contain useful user reports and workarounds.

By understanding why "Sorry, I can't assist with that" appears and adopting filtered prompt strategies, you can work within these AI tools' constraints and make your coding and creative workflows more productive and less frustrating.