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A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.
| Date | Stars |
|---|---|
| 2026-07-31 | 2477 |
| 2026-08-01 | 2477 |
| 2026-08-06 | 2477 |
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<h1 align="center">
<img src="https://github.com/darrenburns/elia/assets/5740731/4037b91a-1ad8-4d5b-884d-b3f1b495acf4" width="126px">
</h1>
<p align="center">
<i align="center">A snappy, keyboard-centric terminal user interface for interacting with large language models.</i><br>
<i align="center">Chat with Claude 3, ChatGPT, and local models like Llama 3, Phi 3, Mistral and Gemma.</i>
</p>
## Introduction
`elia` is an application for interacting with LLMs which runs entirely in your terminal, and is designed to be keyboard-focused, efficient, and fun to use!
It stores your conversations in a local SQLite database, and allows you to interact with a variety of models.
Speak with proprietary models such as ChatGPT and Claude, or with local models running through `ollama` or LocalAI.
## Installation
Install Elia with [pipx](https://github.com/pypa/pipx):
```bash
pipx install --python 3.11 elia-chat
```
Depending on the model you wish to use, you may need to set one or more environment variables (e.g. `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `GEMINI_API_KEY` etc).
## Quickstart
Launch Elia from the command line:
```bash
elia
```
Launch a new chat inline (under your prompt) with `-i`/`--inline`:
```bash
elia -i "What is the Zen of Python?"
```
Launch a new chat in full-screen mode:
```bash
elia "Tell me a cool fact about lizards!"
```
Specify a model via the command line using `-m`/`--model`:
```bash
elia -m gpt-4o
```
Options can be combined - here's how you launch a chat with Gemini 1.5 Flash in inline mode (requires `GEMINI_API_KEY` environment variable).
```bash
elia -i -m gemini/gemini-1.5-flash-latest "How do I call Rust code from Python?"
```
## Running local models
1. Install [`ollama`](https://github.com/ollama/ollama).
2. Pull the model you require, e.g. `ollama pull llama3`.
3. Run the local ollama server: `ollama serve`.
4. Add the model to the config file (see below).
## Configuration
The location of the configuration file is noted at the bottom of
the options window (`ctrl+o`).
The example file below shows the available options, as well as examples of how to add new models.
```toml
# the ID or name of the model that is selected by default on launch
default_model = "gpt-4o"
# the system prompt on launch
system_prompt = "You are a helpful assistant who talks like a pirate."
# choose from "nebula", "cobalt", "twilight", "hacker", "alpine", "galaxy", "nautilus", "monokai", "textual"
theme = "galaxy"
# change the syntax highlighting theme of code in messages
# choose from https://pygments.org/styles/
# defaults to "monokai"
message_code_theme = "dracula"
# example of adding local llama3 support
# only the `name` field is required here.
[[models]]
name = "ollama/llama3"
# example of a model running on a local server, e.g. LocalAI
[[models]]
name = "openai/some-model"
api_base = "http://localhost:8080/v1"
api_key = "api-key-if-required"
# example of add a groq model, showing some other fields
[[models]]
name = "groq/llama2-70b-4096"
display_name = "Llama 2 70B" # appears in UI
provider = "Groq" # appears in UI
temperature = 1.0 # high temp = high variation in output
max_retries = 0 # number of retries on failed request
# example of multiple instances of one model, e.g. you might
# have a 'work' OpenAI org and a 'personal' org.
[[models]]
id = "work-gpt-3.5-turbo"
name = "gpt-3.5-turbo"
display_name = "GPT 3.5 Turbo (Work)"
[[models]]
id = "personal-gpt-3.5-turbo"
name = "gpt-3.5-turbo"
display_name = "GPT 3.5 Turbo (Personal)"
```
## Custom themes
Add a custom theme YAML file to the themes directory.
You can find the themes directory location by pressing `ctrl+o` on the home screen and looking for the `Themes directory` line.
Here's an example of a theme YAML file:
```yaml
name: example # use this name in your config file
primary: '#4e78c4'
secondary: '#f39c12'
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