feat: add genai-migrate codemod CLI for legacy google-generativeai#2748
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jeshiomurmu wants to merge 2 commits into
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feat: add genai-migrate codemod CLI for legacy google-generativeai#2748jeshiomurmu wants to merge 2 commits into
jeshiomurmu wants to merge 2 commits into
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Adds a formatting-preserving source-to-source rewriter (powered by libcst) to help developers migrate from the deprecated google-generativeai patterns to the new google-genai Client/Models/Chats architecture. Addresses the DX crisis outlined in upstream issue googleapis#1606 where AI code generators hallucinate legacy patterns (GenerativeModel, start_chat, genai.configure), costing developers weeks of debugging. Supported transforms: - import google.generativeai as genai -> from google import genai - genai.configure(api_key=...) -> client = genai.Client(api_key=...) - genai.GenerativeModel('gemini-X') -> model name captured as string - model.generate_content(...) -> client.models.generate_content(model=..., contents=...) - model.generate_content(..., stream=True) -> client.models.generate_content_stream(...) - model.start_chat(history=...) -> client.chats.create(model=..., ...) - model.count_tokens(...) -> client.models.count_tokens(model=..., contents=...) Install: pip install google-genai[migrate] Usage: genai-migrate ./app/ --diff # preview genai-migrate ./app/ --in-place
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Description
This PR introduces a source-to-source migration tool (
genai-migrate) powered by LibCST to automate the transition from the deprecatedgoogle-generativeaipackage to the newgoogle-genaiSDK.Why this is needed
Developers are currently facing a 'DX crisis' (referenced in issue #1606) where AI code generators continue to hallucinate legacy patterns. Manually migrating large codebases is error-prone and time-consuming. This tool automates the most common pattern shifts while preserving original code formatting.
Supported Transformations
import google.generativeai as genai->from google import genaigenai.configure()->genai.Client()GenerativeModelvariables to map them to the new Client architecture.model.generate_content()->client.models.generate_content()stream=Truecalls togenerate_content_stream().start_chat()andcount_tokens()to the newclient.chatsandclient.modelsnamespaces.Quality Assurance
Fixes #1606