When Gemini's executed result and its prose disagree on a number — a gate that trusts only code_execution_result
Gemini Code Execution returns the value it actually computed and the sentence describing it as separate parts. Trust the prose and you can inherit a hallucinated number. Here is a verification gate, in working code, that extracts the executed result as the single source of truth and rejects prose that disagrees.
When Your Gemini Agent Has Three Tool Routes and Quietly Picks the Wrong One
Put Function Calling, Code Execution, and Grounding into one agent and the model will sometimes choose the wrong route, while the output still looks perfectly plausible. Here is how I instrument route selection and correct it with phase separation and verification gates, with working code.
3 Gemini Code Execution Errors and How to Fix Them — Import Errors, Timeouts, and Empty Outputs
Fix the most common Gemini API Code Execution issues: missing tool configuration, unsupported library imports, and timeout errors. Includes working code examples for each fix.
Build an AI Data Analysis Agent with Gemini API — Combining Code Execution, Function Calling, and Structured Output
Learn how to build a production-ready AI data analysis agent in Python that combines Gemini API's Code Execution, Function Calling, and Structured Output to automatically analyze CSV/Excel data, generate visualizations, and produce structured reports.