Boris CLI

Introduction

Boris CLI is a command-line chat application that interacts with local and remote engines for processing user inputs. It provides a text user interface (TUI) for seamless interaction with AI models, enabling users to manage coding tasks efficiently.

General Information

• Boris is a command-line chat application that integrates local and remote engines for dynamic code generation.
• It uses a sophisticated reasoning and coding agent to help you manage and update your projects.
• Enhanced context token management and bug fixes improve stability and performance.

Changelog

• 0.1.0: Initial release.
• 0.1.1: Improved reasoning and coding agent, minor and major fixes, context token management, and bug fixing.
• 0.1.2: Improved context management and tooling, improved terminal class interfacing, bug fixing, tests, minor fixes.
• 0.1.3: Fixed toolboxes import, improved nodes management (stable id introduced), removed id generation from LLM, centralized tooling management.
• 0.1.4: Refactor of the coding manager, refactor of the LLM core interfacing (adapters + protocols based), addition of new adapters for OpenAI, Azure, and Anthropic (Gemini Next).

Usage

To use Boris CLI, install it via PyPI and run the command line interface to start interacting with the AI models.

Quick Start

# 1) Initialize config
boris ai init            # project-local .env
# or
boris ai init --global   # ~/.config/boris/.env

# 2) Choose a provider
boris ai use-openai --api-key sk-... --chat gpt-4o-mini --reasoning o3-mini
# or Azure OpenAI (use your deployment names)
boris ai use-azure --endpoint https://<resource>.openai.azure.com/ --api-key ... --chat my-gpt4o-mini

# 3) Verify
boris ai show
boris ai test

# 4) Chat in any repo
cd /path/to/your/repo
boris chat

When a chat starts, Boris “studies” your project and shows a concise scan summary. The first study can be slower; subsequent runs are faster thanks to snapshots.

For additional information, please refer to our public GitHub repo: Boris Repo.