Ever been deep in your programming zone, only to have your screen light up with a massive block of incomprehensible text. It’s frustrating, right? One minute you are building something cool, and the next, you are staring at a long string like type.googleapis.com/assistant.boq.bard.application.BardErrorInfo.
If you have seen this pop up recently in 2026, don’t worry—you aren’t alone. This cryptic error is basically Google’s system trying to tell you that something went wrong behind the scenes while handling AI requests. Let’s look closer at what is actually happening.
What is This Error Anyway?
To understand this mess, we have to look under the hood of how Google handles its AI models. Before everything became Gemini, the backend infrastructure relied on a platform known internally as Bard. The "boq" part of the name refers to Google’s internal server setup used to deploy applications.
When you see BardErrorInfo, it means the web server ran into a roadblock it couldn’t bypass. It’s essentially a digital traffic jam where your app is expecting a smooth response, but Google throws its hands up instead.
Why Does It Happen?
Most of the time, this error hits developers who are working with unofficial APIs or trying to bridge the web interface with local tools. A common trigger happens when you try to start a new chat using older session data, but the backend model has changed.
If your code tries to open an old conversation using a different model version, the system gets confused. It looks for matching information and, when it can’t find it, drops this specific error on your lap.
The Role of Browser Cookies and Sessions
Another big reason this happens involves authentication. Many projects connect to the web interface using browser cookies like __Secure-1PSID and __Secure-1PSIDTS.
If these cookies expire or if your security tokens don’t match up, the server blocks your request. Instead of giving you a nice "please log in again" message, it usually throws the dreaded BardErrorInfo data structure.
How to Fix the Problem
Fixing this issue isn’t as scary as it looks. First, if you are using open-source tools or custom scripts, check your model settings. Make sure you explicitly state which model you are trying to use rather than leaving it blank or unspesified.
Second, refresh your connection. Logging out of your account, grabbing fresh cookies from your browser developer tools, and updating your configuration files can instantly solve the mismatch.
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