jeevescli 0.1.0

Stateless, small context, high leverage AI assistant

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Jeeves

About

Most coding assistants keep growing message histories and context windows, which is inefficient. Jeeves only keeps the latest message in context. This design focuses on the current task and relevant code, not the entire project history.

Despite this, Jeeves can still plan, manage TODO lists, and solve problems over multiple steps without needing conversation history.

Jeeves uses pysublime for code search and retrieval. It embeds code line by line and clusters results to return only the most relevant segments, reducing noise and missing content.

Setup

git clone https://github.com/dadukhankevin/jeevescli
cd jeevescli
pip install -e .

Now jeeves is available globally from any directory.

Usage

1. Set API key: /api api_key sk-your-key-here
2. Run jeeves from anywhere
3. Profit

Configure API at runtime

Use the in-CLI /api command to view or change model/provider/base_url/api_key. Settings persist to ~/.config/jeevescli/config.json and apply immediately.

Examples:

/api                # show current settings and config file location
/api show           # same as above

/api model openai/gpt-oss-120b provider Groq
/api base_url https://api.example.com/openai/v1 api_key sk-xxxx

# You can also use key=value form
/api model=gpt-4o-mini provider=Cerebras

# Unset a value
/api provider unset

Notes:

• Values set via /api override environment variables and are remembered across runs.
• Env vars API_KEY and BASE_URL are used as defaults if nothing is persisted.