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This project provides a command-line interface (CLI) for interacting with various large language models (LLMs) using the LiteLLM wrapper. It supports multiple providers, including OpenAI, Anthropic, Azure, and Gemini. The CLI allows users to chat with these models, manage budgets, and handle API keys efficiently.
The configuration is managed through a $HOME/.config/fire-chat/config.yaml
file. The first time you run the CLI run.
You can copy paste the starting config file config.yaml to the location, adds your API key,
and quick start the application fire-chat
.
Install the CLI:
pip install --user fire-chat # requires python 3.10+
Configure the CLI:
Edit the $HOME/.config/fire-chat/config.yaml
file to set your preferred provider, model, and other settings.
Run the CLI:
fire-chat
or run with arguments (overriding config yaml file)
fire-chat --model=gpt-4o
for full list of configs, see main.py.
Exit:
To exit the CLI, Ctrl+C
.
FAQs
A CLI tool to chat with LLM models including GPT and Claude.
We found that fire-chat 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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