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EigenGen is a CLI LLM frontend for code generation with support for claude, gpt4 and llama3.1:70b.
EigenGen is a CLI Large Language Model frontend. It is designed for working with code. EigenGen uses a two-stage process where larger LLM is used to solve the task and produce dense output, which is then given to a smaller LLM which applies the changes and produces the complete file output. Finally this is then used to produce diffs which the user can choose to apply.
EigenGen currently works correctly with:
Note: Mistral Large seems to have some trouble working with the EigenGen prompting. Similar issues happen with all Mistral models regardless of size. Perhaps they require some distinctly different approach.
pip install eigengen
You must export your API key using:
export ANTHROPIC_API_KEY=<your-api-key>
or
export OPENAI_API_KEY=<your-api-key>
or
export GROQ_API_KEY=<your-api-key>
or
export GOOGLE_API_KEY=<your-api-key>
or
export MISTRAL_API_KEY=<your-api-key>
eigengen
executable, we provide egg
as well. It's shorter.EDITOR
environment variable to pick the text editor.alias egg='EDITOR="subl -w" egg -m gpt4'
alias egg='EDITOR="code -w" egg -m gpt4'
.Please install in edit mode like this:
python3 -m venv .venv
. .venv/bin/activate
pip install -e .
For testing install pytest.
# start a new chat pre-filling initial message from the command line
eigengen -g --chat -p "Please implement a TODO-list web app using react + javascript, thank you. Provide the full project directory structure, please. It should allow adding, editing and deleting entries."
By default eigengen uses claude-3-5-sonnet. In order to use OpenAI GPT4o model, please give --model, -m argument like this:
eigengen -m gpt4 -p "your prompt content"
FAQs
EigenGen is a CLI LLM frontend for code generation with support for claude, gpt4 and llama3.1:70b.
We found that eigengen demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Product
Socket now supports Scala and Kotlin, bringing AI-powered threat detection to JVM projects with easy manifest generation and fast, accurate scans.
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