Observed Problem:

Currently, the integrated Gemini assistant in Firebase Studio tends to lose context during long development sessions. This context loss, likely exacerbated by a large chat history, leads to a degradation in the relevance of suggestions and code corrections.

It is often observed that external AI models (such as ChatGPT, Claude, etc.) can more effectively identify and resolve certain complex code issues. This forces developers to copy-paste their code outside of the Firebase environment, which disrupts the workflow and reduces productivity.

Proposed Solution:

Allow developers to connect and use third-party AI models directly within the Firebase Studio interface.

This feature could take the form of:

An AI Model Selector: Add a dropdown menu or a configuration panel where the user could choose the AI engine to use for code analysis and generation (e.g., Gemini by default, or a third-party model).

Configuration via API Key: Integration could be achieved simply by allowing the user to provide their own API key for their chosen AI service (e.g., OpenAI, Anthropic, etc.).

Benefits of this Feature:

Flexibility and Power: Developers could choose the best tool for a specific task, leveraging the strengths and specializations of each AI model.

Improved Productivity: By centralizing the workflow within Firebase Studio, this reduces the need to juggle multiple windows and tools.

Context Continuity: If Gemini struggles with a specific point, the user could switch to another model without losing the current session's context.

Better Solutions: The ability to "audit" or request a second opinion on a piece of code from another AI would lead to more robust and optimized solutions.

In summary, this flexibility would transform Firebase Studio into an even more powerful and adaptable AI-assisted development platform, tailored to the real and varied needs of developers.