Few things kill developer momentum faster than hitting a 429 Resource Exhausted error immediately after generating an API key. You run your first prompt, expecting a generative AI response, and instead receive a cryptic message stating "limit: 0" or that your quota is exhausted—even though you haven't made a single successful request. If you are on the Free Tier or just starting with the Gemini API via Google Cloud Platform (GCP) or Google AI Studio, this is rarely a code issue. It is almost always an infrastructure configuration issue or a misunderstanding of how Google gates its API tiers. This guide provides the root cause analysis for these "phantom" rate limits and details the infrastructure changes and code patterns required to solve them permanently. The Root Cause: Why You Get "Limit: 0" To fix the error, you must understand the distinction between the two types of 429 errors returned by the Gemini API. 1. True Rate Limiting (The "To...
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