Hi everyone,
I’ve been running into a persistent issue while using Claude (and other LLMs) to write Python scripts for the new Gemini 3 Flash Preview API.
The Problem: > Claude’s training data is stuck with the legacy google-generativeai library. However, Google recently moved to the new google-genai (v1.0+) SDK. Because of this, the LLM keeps hallucinating old methods, failing to implement Thinking Mode correctly, and completely messing up Context Caching logic.
Even if I provide the link toai.google.dev/api, it can’t “crawl” the entire documentation tree in real-time to understand the new structure.
What I’ve tried:
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Copy-pasting specific parts of the docs (Works, but it’s tedious for large projects).
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Using
llms.txt(when available).
My Question: Is there a more automated or “professional” way to inject the entire latest documentation into an LLM’s context?
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Does anyone have a pre-processed Markdown or JSON file of the latest Google AI docs?
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What tools do you use to “flatten” a documentation site into a single file for Claude Projects? (e.g., Crawl4AI, Firecrawl?)
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How do you handle API updates that happen after the model’s knowledge cutoff?
I’d love to hear your workflows for keeping your AI coding assistants “up to date” with the latest SDKs.
Thanks in advance!