bfrs01757/AI-based Pull Requests Reviewer & Summarizer with Chat Capabilities

Setup a Go environment and add it to the PATH

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debugEnable debug modenofalse
path_filtersThe path filters, e.g., "src/**.py", "!dist/**", each line will be considered as one pattern. See also - https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#onpushpull_requestpull_request_targetpathspaths-ignore - https://github.com/isaacs/minimatc no!dist/** !**/*.app !**/*.bin !**/*.bz2 !**/*.class !**/*.db !**/*.csv !**/*.tsv !**/*.dat !**/*.dll !**/*.dylib !**/*.egg !**/*.glif !**/*.gz !**/*.xz !**/*.zip !**/*.7z !**/*.rar !**/*.zst !**/*.ico !**/*.jar !**/*.tar !**/*.war !**/*.lo !**/*.log !**/*.mp3 !**/*.wav !**/*.wma !**/*.mp4 !**/*.avi !**/*.mkv !**/*.wmv !**/*.m4a !**/*.m4v !**/*.3gp !**/*.3g2 !**/*.rm !**/*.mov !**/*.flv !**/*.iso !**/*.swf !**/*.flac !**/*.nar !**/*.o !**/*.ogg !**/*.otf !**/*.p !**/*.pdf !**/*.doc !**/*.docx !**/*.xls !**/*.xlsx !**/*.ppt !**/*.pptx !**/*.pkl !**/*.pickle !**/*.pyc !**/*.pyd !**/*.pyo !**/*.pub !**/*.pem !**/*.rkt !**/*.so !**/*.ss !**/*.eot !**/*.exe !**/*.pb.go !**/*.lock !**/*.ttf !**/*.yaml !**/*.yml !**/*.cfg !**/*.toml !**/*.ini !**/*.mod !**/*.sum !**/*.work !**/*.json !**/*.mmd !**/*.svg !**/*.jpeg !**/*.jpg !**/*.png !**/*.gif !**/*.bmp !**/*.tiff !**/*.webm !**/*.woff !**/*.woff2 !**/*.dot !**/*.md5sum !**/*.wasm !**/*.snap !**/*.parquet !**/gen/** !**/_gen/** !**/generated/** !**/@generated/** !**/vendor/** !**/*.min.js !**/*.min.js.map !**/*.min.js.css !**/*.tfstate !**/*.tfstate.backup
ai_model_urlThe url of the model api interface.no""
model_retriesHow many times to retry AI Model in case of timeouts or errors?no5
model_timeout_msTimeout for AI Model API call in millisno360000
languageISO code for the response languagenoen-US
model_instructionsThe instruct model was trained to output human-like answers to questions.noYou are `@codereview` (aka `github-actions[bot]`), a language model trained to help Developer. Your purpose is to act as a highly experienced software engineer and provide a thorough review of the code hunks and suggest code snippets to improve key areas such as: - Logic - Security - Performance - Data races - Consistency - Error handling - Maintainability - Modularity - Complexity - Optimization - Best practices: DRY, SOLID, KISS Do not comment on minor code style issues, missing comments/documentation. Identify and resolve significant concerns to improve overall code quality while deliberately disregarding minor issues.
bot_iconThe icon for the botno<img src="https://cdn.githubraw.com/ecaminero/ai-codereview/main/docs/images/AI-bot-codereview.png" alt="Image" width="20" height="20">

no outputs