Integrate Gemini's built-in search tool for enhanced information retrieval and code generation

[vancur2021]

Feature Request: Integrate Gemini's built-in search tool for enhanced information retrieval and code generation

1. Is your feature request related to a problem? Please describe.

Currently, Roo Code effectively integrates the Gemini family of models, providing powerful code generation and comprehension capabilities. However, when handling tasks that require the latest information, domain-specific knowledge, or real-time web data, the model's performance is limited by its training data cutoff date and internal knowledge base.

For example, when needing to generate code based on the latest API documentation, a new library version, or the most recent solution to a specific technical problem, Roo Code may not be able to access the most accurate and up-to-date information. This can result in the generated code being outdated or incorrect.

2. What is the solution you'd like?

I propose adding a new feature to Roo Code that integrates and allows it to call the Gemini model's built-in search tool (Google Search) during task execution.

Implementation Idea:

Trigger Mechanism: Roo Code could automatically trigger the search tool when a user's prompt or task clearly requires external information (e.g., containing keywords like "latest," "usage of X library," "documentation for Y API").
Tool Invocation: Integrate Gemini's search capability as a new "Smart Tool" within Roo Code's toolset (MCP, Model Context Protocol).
Information Consolidation: Roo Code would feed the search results to the Gemini model as context. This would enable the model to generate code, answer questions, or create plans based on real-time, accurate information.
User Transparency: The execution log in Roo Code should clearly display the steps of calling the search tool and the key information retrieved, allowing the user to understand the information's origin.

3. What are the benefits of this feature?

Improved Accuracy: Access to real-time web information ensures that generated code and recommendations are based on the latest documentation and best practices.
Enhanced Problem-Solving: For problems requiring specialized domain knowledge or cutting-edge technology, the ability to quickly search for relevant materials will significantly improve the capacity to solve complex issues.
Expanded Use Cases: This would transform Roo Code from just a coding assistant into a powerful development partner capable of research and analysis. For instance, in "Architect Mode," the search function could be used to research and compare different technical solutions.
Better User Experience: Users would no longer need to leave their editor to search for information manually. Roo Code could handle the entire process from information retrieval to code implementation in one place.

4. Additional context

Roo Code's experimental features already include "AI-powered codebase semantic search," which indicates that the project is already considering enhancements to its information retrieval capabilities. Integrating Gemini's web search tool would be a significant and complementary addition, expanding the scope of information retrieval from the local codebase to the entire internet.

Thank you for developing such an excellent tool. I look forward to seeing Roo Code become even more powerful!