kopia lustrzana https://github.com/biobootloader/wolverine
65 wiersze
2.8 KiB
Markdown
65 wiersze
2.8 KiB
Markdown
# DEPRECATED: Try Mentat instead! https://github.com/AbanteAI/mentat
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# Wolverine
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## About
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Give your python scripts regenerative healing abilities!
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Run your scripts with Wolverine and when they crash, GPT-4 edits them and explains what went wrong. Even if you have many bugs it will repeatedly rerun until it's fixed.
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For a quick demonstration see my [demo video on twitter](https://twitter.com/bio_bootloader/status/1636880208304431104).
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## Setup
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python3 -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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cp .env.sample .env
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Add your openAI api key to `.env`
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_warning!_ By default wolverine uses GPT-4 and may make many repeated calls to the api.
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## Example Usage
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To run with gpt-4 (the default, tested option):
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python -m wolverine examples/buggy_script.py "subtract" 20 3
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You can also run with other models, but be warned they may not adhere to the edit format as well:
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python -m wolverine --model=gpt-3.5-turbo examples/buggy_script.py "subtract" 20 3
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If you want to use GPT-3.5 by default instead of GPT-4 uncomment the default model line in `.env`:
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DEFAULT_MODEL=gpt-3.5-turbo
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You can also use flag `--confirm=True` which will ask you `yes or no` before making changes to the file. If flag is not used then it will apply the changes to the file
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python -m wolverine examples/buggy_script.py "subtract" 20 3 --confirm=True
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## Environment variables
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| env name | description | default value |
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| ------------------- | ----------------------------------------------------------------- | ------------- |
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| OPENAI_API_KEY | OpenAI API key | None |
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| DEFAULT_MODEL | GPT model to use | "gpt-4" |
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| VALIDATE_JSON_RETRY | Number of retries when requesting OpenAI API (-1 means unlimites) | -1 |
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## Future Plans
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This is just a quick prototype I threw together in a few hours. There are many possible extensions and contributions are welcome:
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- add flags to customize usage, such as asking for user confirmation before running changed code
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- further iterations on the edit format that GPT responds in. Currently it struggles a bit with indentation, but I'm sure that can be improved
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- a suite of example buggy files that we can test prompts on to ensure reliability and measure improvement
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- multiple files / codebases: send GPT everything that appears in the stacktrace
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- graceful handling of large files - should we just send GPT relevant classes / functions?
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- extension to languages other than python
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## Star History
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[](https://star-history.com/#biobootloader/wolverine)
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