An CLI assistant that responds by generating and auto-executing a Python script.
rawdog-demo-4.mp4
You'll be surprised how useful this can be:
- "How many folders in my home directory are git repos?" ... "Plot them by disk size."
- "Give me the pd.describe() for all the csv's in this directory"
- "What ports are currently active?" ... "What are the Google ones?" ... "Cancel those please."
Rawdog (Recursive Augmentation With Deterministic Output Generations) is a novel alternative to RAG (Retreival Augmented Generation). Rawdog can self-select context by running scripts to print things, adding the output to the conversation, and then calling itself again.
This works for tasks like:
- "Setup the repo per the instructions in the README"
- "Look at all these csv's and tell me if they can be merged or not, and why."
- "Try that again."
Please proceed with caution. This obviously has the potential to cause harm if so instructed.
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Install rawdog with pip:
pip install rawdog-ai litellm -
Choose a mode of interaction. You will be prompted to input an API key if not found:
Direct: Execute a single prompt and close
rawdog Plot the size of all the files and directories in cwdConversation: Initiate back-and-forth until you close. Rawdog can see its scripts and output.
rawdog >>> What can I do for you? (Ctrl-C to exit) >>> > |
--dry-run: Print and manually approve each script before executing.
Rawdog uses litellm for completions with 'gpt-4' as the default. You can adjust the model or
point it to other providers by modifying ~/.rawdog/config.yaml.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent