Rawdog

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.

Quickstart

1. Install rawdog with pip:

   pip install rawdog-ai litellm
   

2. 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 cwd
   

   Conversation: 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)
   >>> > |
   

Optional Arguments

• --dry-run: Print and manually approve each script before executing.

Model selection

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.