When a New Gemini Feature Hasn't Reached Your Workspace, Here's How to Tell Waiting From Broken
A step-by-step way to decide whether a missing Gemini feature in Google Workspace is still rolling out or actually misconfigured, using release tracks and rollout pace, plus a small Apps Script ledger that does the counting for you.
After generated_images Disappeared: Three Branches Between the Response and a Saved File
Once you switch to generate_content, the line that breaks is usually the save. Here are the three branches on the response side - zero image parts, a shifting image count, and picking the extension - plus a receiver function you can drop in.
When a Prompt That Worked in AI Studio Quietly Breaks Over the API — Field Notes on Measuring the Difference
A prompt that behaves perfectly in AI Studio returns an empty string or a 404 the moment you call the Gemini API from your own code. Instead of eyeballing the two, here is a small harness that records the config diff plus finish_reason, token usage, and the model name the server actually resolved — so you can isolate the cause by layer.
Stopping Gemini API Function Calling Loops: Why They Happen and How to Break Them
Your tool-calling agent keeps invoking the same function and never finishes. Here is how to diagnose the loop and bake stop conditions into your prompt, code, and tool responses — including catching regressions when the default model changes and detecting result-based stalls.
Gemini API on Google Cloud: Diagnosing Production Errors Layer by Layer
Systematically diagnose Gemini API errors in Google Cloud production environments. Covers IAM permissions, Vertex AI vs AI Studio, VPC Service Controls, quota management, service accounts, and multi-region failover with full code examples.
How to Handle Gemini API Model Deprecation and Migration Errors
A practical guide to migrating from deprecated Gemini API models and resolving common migration errors.
Gemini API Implicit Caching Not Working — Troubleshooting Guide by Root Cause
Troubleshoot Gemini API implicit caching issues: cache not hitting, unexpectedly high costs, or low cache hit rates. Covers token thresholds, prompt structure, model version consistency, TTL expiry, and multimodal caching with code examples.
When Gemini API Cuts Your Response Off Mid-Sentence — Detecting finish_reason: MAX_TOKENS and Stitching the Continuation
Long-form generation that ends mid-sentence is usually finish_reason: MAX_TOKENS. This failure arrives as a quiet HTTP 200, no exception. Here is how to detect it, stitch a continuation to recover the full text, and avoid the thinking-token trap that makes it worse on 3.x models.
Reverse-Engineering Empty Gemini API Responses with finish_reason — Triage, Retry Classification, and Monitoring
An empty response.text has three distinct failure layers — candidates, prompt_feedback, and finish_reason. Production code for detecting thinking-token starvation, classifying what is worth retrying, and monitoring your empty-response rate.
Gemini Live API Audio Sounds Sped Up — Fixing the Sample Rate Mismatch
When Gemini Live API responses sound high-pitched and sped up, or come back full of noise, the cause is almost always that the 24kHz output is being played at a different sample rate. Here are the concrete fixes for both the browser and iOS.
Why Firebase AI Logic Returns 403 When Calling Gemini from iOS — And How to Fix It
Firebase AI Logic (formerly Vertex AI in Firebase) often returns 403 PERMISSION_DENIED when calling Gemini from an iOS app. Here is how to isolate the three real causes — App Check enforcement, disabled APIs, and missing Blaze billing — based on hands-on device testing.
Empty Output but finish_reason Is MAX_TOKENS on Gemini 2.5/3: Cause and Fix
Your prompt is just a few lines, yet a low maxOutputTokens on gemini-2.5-flash returns empty text with finish_reason MAX_TOKENS. The culprit is thinking tokens. Here are three fixes with working code.