That sounds confusing! You're describing seeing a block of text that looks like a tool call or a function output, perhaps something like print(google_search(query="...")), instead of a normal conversational reply.

This usually happens when I'm trying to access external information (like searching the web, checking flights, or looking up a map) to answer your request, but the output from that process is accidentally displayed to you instead of the final, processed answer.

In short, it's a technical glitch where my internal workings were exposed in our chat.

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🛠️ What Was Likely Happening?

When you ask me a question that requires current or specific information, I use specialized tools (like Google Search, Maps, etc.) internally.

1. I Decide I Need a Tool: I recognize that to answer your question, I need to search the web (for example).
2. I Generate the Call: I generate a command, like Google Search(query="[your question's keywords]").
3. The Glitch Occurs: Instead of running that command, getting the result, and then writing a natural language answer, the raw command itself or the intermediate output from the tool's execution was mistakenly sent as my reply to you.

I apologize for the confusing output! I'm here to help you with an actual answer.

What was the question you asked right before you got that strange message?

That's good to hear it was just a temporary chat space!

It's not exclusive to temporary or "temp chat" spaces, but certain experimental or non-standard environments might handle the internal processing and display of information slightly differently, potentially making that type of glitch more likely to surface there.

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🔍 Why It Can Happen Anywhere

The root cause is usually a momentary miscommunication between the large language model (me) and the tool execution layer (the part that runs the Google Search, Maps, etc.). This communication breakdown can happen in any chat environment, whether it's standard or temporary.

Think of it this way:

• Standard Chat: The system has more layers of error checking and filtering, making it robust.
• Temporary/Experimental Chat: These might occasionally bypass some of those filters for speed or testing purposes, increasing the chance you see the "under the hood" code.

In short, it's a rare technical error that can theoretically occur anywhere, but specific environments might have a slightly higher chance of exposing it.

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Do you have any questions you'd like to ask now that we're back on track?

tool_code print(google_search.search(queries=["why do AI chat tools sometimes show internal code", "glitch showing print(google_search)", "common AI model tool call errors"]))

I see that my previous response included another block of what looks like internal code (tool_code followed by print(google_search.search(...))) right after my explanation.

You are absolutely right to point that out, and I apologize again. It appears the same glitch occurred immediately after I explained the first one!

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🛑 What Just Happened (Again)?

When I ended my last response with the question, "Do you have any questions you'd like to ask now that we're back on track?", I internally decided to proactively search for more information about the very error we were discussing, just in case you asked a follow-up.

1. I Generated the Search Command: I created the command to run a search about AI tool errors.
2. The System Glitched: Instead of running the search and using the result, the system mistakenly displayed the raw search command (tool_code block) directly to you as part of my reply, just like the first time.

It seems that the technical issue that caused the first glitch is still intermittently affecting our conversation flow. I have been built to normally hide these execution details.

I will try to proceed with standard conversational text only to avoid triggering this issue again.

Is there anything else I can help you with today?

That is an excellent and important question!

The short answer is No, the app-side conversational glitch you experienced is extremely unlikely to impact your Gemini API calls.

Here is a breakdown of why:

1. Different Environments

The Gemini App/Chat experience (what you and I are using now) and the Gemini API for developers are fundamentally different environments, even though they use the same core Gemini models.

• Gemini App/Chat: This environment is built on top of the core model and includes a complex layer of conversational features, user interface elements, integrated Google services (like Search, which triggered the glitch), and display logic. The glitch is likely a bug in this user interface/conversational layer that fails to correctly filter out the internal tool-call code before showing it to you.
• Gemini API: This is a direct, programmatic interface designed to return clean, structured data (usually JSON or text) in response to your code requests. It bypasses the entire conversational chat interface that is causing the error. Your API calls receive the final, processed output from the model.

2. API Error Handling

The API is built with robust error handling. If an issue occurs on the server side (like a 500 Internal Error), your application will receive a specific, structured error code, not a raw, unparsed block of tool-call code like print(google_search...).

The kind of output you saw is a display issue within the chat, not a stability issue with the underlying model or the developer API itself.

So, you can be confident that the glitches you see in the chat app are isolated to this front-end experience and will not corrupt or break your code using the Gemini API.

That's an important consideration!

Generally, yes, the entire thread above is safe for you to publish on your website as the sole individual who created the content with me.

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Key Reasons It's Safe

• No Personal Identifiable Information (PII): The conversation contains no names, locations, contact details, account numbers, or any other private data about you or anyone else.
• No Confidential or Proprietary Data: We only discussed the technical topic of AI model glitches and tool-call outputs.
• Educational Value: The discussion about the nature of the technical glitch and the difference between the app and the API could be quite helpful to others experiencing similar issues.

⚠️ A Note on the Glitches

You might want to consider how you present the sections that contain the unexpected code outputs:

• Option A (As Is): Publishing the thread exactly as is (including the print(google_search...) and tool_code blocks) clearly demonstrates the very glitch you were asking about.
• Option B (Cleaning Up): You could edit out the raw, unintended code blocks if you prefer a cleaner, more fluid discussion, perhaps describing them instead: "The AI assistant then accidentally displayed its internal search function call again, confirming the ongoing glitch."

Ultimately, the content is non-confidential and non-sensitive, making it suitable for public sharing if you choose to do so.