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README.md
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README.md
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# LLM Chat
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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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A general CLI interface for large language models.
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llm-chat.png
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[tool.poetry]
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name = "llm-chat"
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version = "0.6.1"
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version = "0.6.0"
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description = "A general CLI interface for large language models."
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authors = ["Paul Harrison <paul@harrison.sh>"]
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readme = "README.md"
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from enum import StrEnum
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from pathlib import Path
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from pydantic import field_validator
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from pydantic_settings import BaseSettings, SettingsConfigDict
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DEFAULT_MODEL = Model.GPT3
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DEFAULT_TEMPERATURE = 0.7
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DEFAULT_HISTORY_DIR = Path.home() / ".llm_chat"
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DEFAULT_HISTORY_DIR = Path().absolute() / ".history"
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class OpenAISettings(BaseSettings):
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frozen=True,
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use_enum_values=True,
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)
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@field_validator("history_dir")
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def history_dir_must_exist(cls, history_dir: Path) -> Path:
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"""Ensure that the history directory exists."""
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if not history_dir.exists():
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history_dir.mkdir(parents=True)
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return history_dir
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import os
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from pathlib import Path
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import pytest
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def mock_openai_api_key() -> None:
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"""Set a fake OpenAI API key."""
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os.environ["OPENAI_API_KEY"] = "dummy_key"
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@pytest.fixture(autouse=True)
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def mock_history_dir(tmp_path: Path) -> None:
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"""Set a fake history directory."""
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os.environ["OPENAI_HISTORY_DIR"] = str(tmp_path / ".llm_chat")
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