usage-instructions #8
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README.md
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# LLM Chat
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A general CLI interface for large language models.
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This project is currently a CLI interface for OpenAI's [GPT model API](https://platform.openai.com/docs/guides/gpt). The long term goal is to be much more general and interface with any LLM, whether that be a cloud service or a model running locally.
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## Usage
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### Installation
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The package is not currently published so you will need to build it yourself. To do so you will need [Poetry](https://python-poetry.org/) v1.5 or later. Once you have that installed, run the following commands:
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```bash
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git clone https://code.harrison.sh/paul/llm-chat.git
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cd llm-chat
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poetry build
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```
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This will create a wheel file in the `dist` directory. You can then install it with `pip`:
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```bash
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pip install dist/llm_chat-0.6.1-py3-none-any.whl
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```
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Note, a much better way to install this package system wide is to use [pipx](https://pypa.github.io/pipx/). This will install the package in an isolated environment and make the `llm` command available on your path.
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### Configuration
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Your OpenAI API key must be set in the `OPENAI_API_KEY` environment variable. The following additional environment variables are supported:
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| Variable | Description |
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| -------------------- | ------------------------------------------------------------------ |
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| `OPENAI_MODEL` | The model to use. Defaults to `gpt-3.5-turbo`. |
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| `OPENAI_TEMPERATURE` | The temperature to use when generating text. Defaults to `0.7`. |
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| `OPENAI_HISTORY_DIR` | The directory to store chat history in. Defaults to `~/.llm_chat`. |
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The settings can also be configured via command line arguments. Run `llm chat --help` for more information.
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### Usage
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To start a chat session, run the following command:
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```bash
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llm chat
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```
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This will start a chat session with the default settings looking something like the image below:
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![Chat session](./llm-chat.png)
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The CLI accepts multi-line input, so to send the input to the model press `Esc + Enter`. After each message a running total cost will be displayed. To exit the chat session, send the message `/q`.
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