Incorporate custom bots into chat CLI

This commit will add the ability to create custom bots in the form of
automatically prepending additional bot-specific context to your chat
session. A new `chat` CLI argument will be added allowing users to
provide the name of an existing bot. For example:

```
llm chat -b "My Bot"
```

An additional `bot` CLI is added for creating and removing bots.

Closes #13

.gitignore

@@ -8,6 +8,39 @@
 ### asdf ###
 /.tool-versions
 
+### macOS ###
+# General
+.DS_Store
+.AppleDouble
+.LSOverride
+
+# Icon must end with two \r
+Icon
+
+
+# Thumbnails
+._*
+
+# Files that might appear in the root of a volume
+.DocumentRevisions-V100
+.fseventsd
+.Spotlight-V100
+.TemporaryItems
+.Trashes
+.VolumeIcon.icns
+.com.apple.timemachine.donotpresent
+
+# Directories potentially created on remote AFP share
+.AppleDB
+.AppleDesktop
+Network Trash Folder
+Temporary Items
+.apdisk
+
+### macOS Patch ###
+# iCloud generated files
+*.icloud
+
 ### Python ###
 # Byte-compiled / optimized / DLL files
 __pycache__/

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-frozenlist = ">=1.1.1"
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-yarl = ">=1.0,<2.0"
-
-[package.extras]
-speedups = ["Brotli", "aiodns", "cchardet"]
-
-[[package]]
-name = "aiosignal"
-version = "1.3.1"
-description = "aiosignal: a list of registered asynchronous callbacks"
-optional = false
-python-versions = ">=3.7"
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-
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-frozenlist = ">=1.1.0"
 
 [[package]]
 name = "annotated-types"
@@ -134,33 +12,24 @@ files = [
 ]
 
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-name = "async-timeout"
+name = "anyio"
-version = "4.0.3"
+version = "4.2.0"
-description = "Timeout context manager for asyncio programs"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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+[package.dependencies]
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+sniffio = ">=1.1"
-description = "Classes Without Boilerplate"
-optional = false
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 [package.extras]
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+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
+trio = ["trio (>=0.23)"]
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-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "black"
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 version = "8.1.6"
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+optional = false
+python-versions = ">=3.7"
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+certifi = "*"
+h11 = ">=0.13,<0.15"
+
+[package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<0.23.0)"]
+
+[[package]]
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+version = "0.26.0"
+description = "The next generation HTTP client."
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+python-versions = ">=3.8"
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+certifi = "*"
+httpcore = "==1.*"
+idna = "*"
+sniffio = "*"
+
+[package.extras]
+brotli = ["brotli", "brotlicffi"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+
 [[package]]
 name = "idna"
 version = "3.4"
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-    {file = "yarl-1.9.2.tar.gz", hash = "sha256:04ab9d4b9f587c06d801c2abfe9317b77cdf996c65a90d5e84ecc45010823571"},
-]
-
-[package.dependencies]
-idna = ">=2.0"
-multidict = ">=4.0"
-
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.12"
-content-hash = "5b81fe2c2ca1756c2c446ab727fd30fd976ed7d8c82ffb8f7d3870c38755bce6"
+content-hash = "8d76898eeb53fd3848f3be2f6aa1662517f9dbd80146db8dfd6f2932021ace48"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "llm-chat"
-version = "1.0.0"
+version = "2.0.0"
 description = "A general CLI interface for large language models."
 authors = ["Paul Harrison <paul@harrison.sh>"]
 readme = "README.md"
@@ -8,8 +8,8 @@ packages = [{include = "llm_chat", from = "src"}]
 
 [tool.poetry.dependencies]
 python = ">=3.11,<3.12"
-openai = "^0.27.8"
+openai = "^1.9"
-pydantic = "^2.1.1"
+pydantic = "^2.5.3"
 pydantic-settings = "^2.0.2"
 typer = {extras = ["all"], version = "^0.9.0"}
 prompt-toolkit = "^3.0.39"
@@ -21,6 +21,7 @@ isort = "^5.12.0"
 ruff = "^0.0.284"
 mypy = "^1.5.0"
 pydocstyle = "^6.3.0"
+types-attrs = "^19.1.0"
 
 [tool.poetry.scripts]
 llm = "llm_chat.cli:app"

src/llm_chat/bot.py

@@ -0,0 +1,162 @@
+from __future__ import annotations
+
+import json
+import shutil
+from pathlib import Path
+from typing import Iterable
+
+from pydantic import BaseModel
+
+from llm_chat.models import Message, Role
+from llm_chat.utils import kebab_case
+
+
+class BotExists(Exception):
+    """Bot already exists error."""
+
+    pass
+
+
+class BotDoesNotExist(Exception):
+    """Bot does not exist error."""
+
+    pass
+
+
+class BotConfig(BaseModel):
+    """Bot configuration class."""
+
+    bot_id: str
+    name: str
+    context_files: list[str]
+
+
+def _bot_id_from_name(name: str) -> str:
+    """Create bot ID from name.
+
+    Args:
+        name: Bot name in full prose (e.g. My Amazing Bot).
+    """
+    return kebab_case(name)
+
+
+def _load_context(config: BotConfig, bot_dir: Path) -> list[Message]:
+    """Load text from context files.
+
+    Args:
+        config: Bot configuration.
+
+    Returns:
+        List of system messages to provide as context.
+    """
+    context: list[Message] = []
+    for context_file in config.context_files:
+        path = bot_dir / config.bot_id / "context" / context_file
+        if not path.exists():
+            raise ValueError(f"{path} does not exist.")
+        if not path.is_file():
+            raise ValueError(f"{path} is not a file")
+        with path.open("r") as f:
+            content = f.read()
+        context.append(Message(role=Role.SYSTEM, content=content))
+    return context
+
+
+class Bot:
+    """Custom bot interface.
+
+    Args:
+        config: Bot configuration instance.
+        bot_dir: Path to directory of bot configurations.
+    """
+
+    def __init__(self, config: BotConfig, bot_dir: Path) -> None:
+        self.config = config
+        self.context = _load_context(config, bot_dir)
+
+    @property
+    def id(self) -> str:
+        """Return the bot ID."""
+        return self.config.bot_id
+
+    @property
+    def name(self) -> str:
+        """Return the bot name."""
+        return self.config.name
+
+    @classmethod
+    def create(
+        cls,
+        name: str,
+        bot_dir: Path,
+        context_files: Iterable[Path] = tuple(),
+    ) -> None:
+        """Create a custom bot.
+
+        This command creates the directory structure for the custom bot and copies
+        the context files. The bot directory is stored within the base bot directory
+        (e.g. `~/.llm_chat/bots/<name>`), which is stored as the snake case version of
+        the name argument. the directory contains a settings file `<name>.json` and a
+        directory of context files.
+
+        Args:
+            name: Name of the custom bot.
+            bot_dir: Path to where custom bot contexts are stored.
+            context_files: Paths to context files.
+
+        Returns:
+            Instantiated Bot instance.
+        """
+        bot_id = _bot_id_from_name(name)
+        path = bot_dir / bot_id
+        if path.exists():
+            raise BotExists(f"The bot {name} already exists.")
+        (path / "context").mkdir(parents=True)
+
+        config = BotConfig(
+            bot_id=bot_id,
+            name=name,
+            context_files=[context.name for context in context_files],
+        )
+
+        with (path / f"{bot_id}.json").open("w") as f:
+            f.write(config.model_dump_json() + "\n")
+
+        for context in context_files:
+            shutil.copy(context, path / "context" / context.name)
+
+    @classmethod
+    def load(cls, name: str, bot_dir: Path) -> Bot:
+        """Load an existing bot.
+
+        Args:
+            name: Name of the custom bot.
+            bot_dir: Path to where custom bot contexts are stored.
+
+        Returns:
+            Instantiated Bot instance.
+        """
+        bot_id = _bot_id_from_name(name)
+        bot_path = bot_dir / bot_id
+        if not bot_path.exists():
+            raise BotDoesNotExist(f"Bot {name} does not exist.")
+
+        with (bot_path / f"{bot_id}.json").open("r") as f:
+            config = BotConfig(**json.load(f))
+
+        return cls(config, bot_dir)
+
+    @classmethod
+    def remove(cls, name: str, bot_dir: Path) -> None:
+        """Remove an existing bot.
+
+        Args:
+            name: Name of the custom bot.
+            bot_dir: Path to where custom bot contexts are stored.
+        """
+        bot_id = _bot_id_from_name(name)
+        bot_path = bot_dir / bot_id
+        if not bot_path.exists():
+            raise BotDoesNotExist(f"Bot {name} does not exist.")
+
+        shutil.rmtree(bot_path)

src/llm_chat/chat.py

@@ -1,12 +1,15 @@
+import math
 from datetime import datetime
 from enum import StrEnum, auto
 from pathlib import Path
 from typing import Any, Protocol, Type
 from zoneinfo import ZoneInfo
 
-from openai import ChatCompletion
+from openai import OpenAI
-from openai.openai_object import OpenAIObject
+from openai.types.chat import ChatCompletion
+from openai.types.completion_usage import CompletionUsage
 
+from llm_chat.bot import Bot
 from llm_chat.models import Conversation, Message, Role
 from llm_chat.settings import Model, OpenAISettings
 
@@ -51,6 +54,10 @@ class ChatProtocol(Protocol):
 
     conversation: Conversation
 
+    @property
+    def bot(self) -> str:
+        """Get the name of the bot the conversation is with."""
+
     @property
     def cost(self) -> float:
         """Get the cost of the conversation."""
@@ -66,28 +73,36 @@ class ChatProtocol(Protocol):
     def save(self) -> None:
         """Save the conversation to the history directory."""
 
-    def send_message(self, message: str) -> str:
+    def send_message(self, prompt: str) -> str:
         """Send a message to the assistant."""
 
 
 class Chat:
     """Interface class for OpenAI's ChatGPT chat API.
 
-    Arguments:
+    Args:
-        settings (optional): Settings for the chat. Defaults to reading from
+        settings: Settings for the chat. Defaults to reading from environment
-            environment variables.
+            variables.
-        context (optional): Context for the chat. Defaults to an empty list.
+        context: Context for the chat. Defaults to an empty list.
+        name: Name of the chat.
+        bot: Name of bot to chat with.
+        initial_system_messages: Whether to include the standard initial system
+            messages.
     """
 
     _pricing: dict[Model, dict[Token, float]] = {
         Model.GPT3: {
-            Token.COMPLETION: 0.002,
+            Token.COMPLETION: 0.0005,
             Token.PROMPT: 0.0015,
         },
         Model.GPT4: {
             Token.COMPLETION: 0.06,
             Token.PROMPT: 0.03,
         },
+        Model.GPT4_TURBO: {
+            Token.COMPLETION: 0.03,
+            Token.PROMPT: 0.01,
+        },
     }
 
     def __init__(
@@ -95,22 +110,32 @@ class Chat:
         settings: OpenAISettings | None = None,
         context: list[Message] = [],
         name: str = "",
+        bot: str = "",
         initial_system_messages: bool = True,
     ) -> None:
         self._settings = settings
+
+        if bot:
+            context = Bot.load(bot, self.settings.bot_dir).context + context
+
+        if initial_system_messages:
+            context = INITIAL_SYSTEM_MESSAGES + context
+
         self.conversation = Conversation(
-            messages=INITIAL_SYSTEM_MESSAGES + context
+            messages=context,
-            if initial_system_messages
-            else context,
             model=self.settings.model,
             temperature=self.settings.temperature,
             name=name,
+            bot=bot,
         )
         self._start_time = datetime.now(tz=ZoneInfo("UTC"))
+        self._client = OpenAI(
+            api_key=self.settings.api_key,
+        )
 
     @classmethod
     def load(
-        cls, path: Path, api_key: str | None = None, history_dir: Path | None = None
+        cls, path: Path, api_key: str | None = None, base_dir: Path | None = None
     ) -> ChatProtocol:
         """Load a chat from a file."""
         with path.open() as f:
@@ -121,8 +146,8 @@ class Chat:
         }
         if api_key is not None:
             args["api_key"] = api_key
-        if history_dir is not None:
+        if base_dir is not None:
-            args["history_dir"] = history_dir
+            args["base_dir"] = base_dir
 
         settings = OpenAISettings(**args)
         return cls(
@@ -138,6 +163,11 @@ class Chat:
             self._settings = OpenAISettings()
         return self._settings
 
+    @property
+    def bot(self) -> str:
+        """Get the name of the bot the conversation is with."""
+        return self.conversation.bot
+
     @property
     def cost(self) -> float:
         """Get the cost of the conversation."""
@@ -148,7 +178,7 @@ class Chat:
         """Get the name of the conversation."""
         return self.conversation.name
 
-    def _make_request(self, message: str) -> dict[str, Any]:
+    def _make_request(self, message: str) -> ChatCompletion:
         """Send a request to the OpenAI API.
 
         TODO: Add error handling.
@@ -156,26 +186,30 @@ class Chat:
         """
         self.conversation.messages.append(Message(role=Role.USER, content=message))
 
-        response: OpenAIObject = ChatCompletion.create(
+        response: ChatCompletion = self._client.chat.completions.create(
             model=self.settings.model,
             temperature=self.settings.temperature,
-            api_key=self.settings.api_key,
             messages=self.conversation.model_dump()["messages"],
+            stream=False,
         )
 
-        out: dict[str, Any] = response.to_dict()
+        return response
-        return out
 
-    def _calculate_cost(self, usage: dict[str, int]) -> None:
+    def _calculate_cost(self, usage: CompletionUsage) -> None:
         """Calculate the cost of a request."""
-        self.conversation.completion_tokens += usage["completion_tokens"]
+        self.conversation.completion_tokens += usage.completion_tokens
-        self.conversation.prompt_tokens += usage["prompt_tokens"]
+        self.conversation.prompt_tokens += usage.prompt_tokens
-        self.conversation.cost = round(
+        self.conversation.cost = (
+            math.floor(
+                1000000
+                * (
                     (self.conversation.completion_tokens / 1000)
                     * self._pricing[self.settings.model][Token.COMPLETION]
                     + (self.conversation.prompt_tokens / 1000)
-            * self._pricing[self.settings.model][Token.PROMPT],
+                    * self._pricing[self.settings.model][Token.PROMPT]
-            6,
+                )
+            )
+            / 1000000
         )
 
     def save(self) -> None:
@@ -192,19 +226,24 @@ class Chat:
         TODO: Add error handling.
         """
         request_response = self._make_request(prompt)
-        self._calculate_cost(request_response["usage"])
+
-        response: str = request_response["choices"][0]["message"]["content"]
+        if request_response.usage is not None:
+            self._calculate_cost(request_response.usage)
+        response = request_response.choices[0].message.content
         self.conversation.messages.append(
-            Message(role=Role.ASSISTANT, content=response)
+            Message(role=Role.ASSISTANT, content=response if response else "")
         )
-        return response
+        return response if response else ""
 
 
 def get_chat(
-    settings: OpenAISettings | None = None, context: list[Message] = [], name: str = ""
+    settings: OpenAISettings | None = None,
+    context: list[Message] = [],
+    name: str = "",
+    bot: str = "",
 ) -> ChatProtocol:
     """Get a chat object."""
-    return Chat(settings=settings, context=context, name=name)
+    return Chat(settings=settings, context=context, name=name, bot=bot)
 
 
 def get_chat_class() -> Type[Chat]:

src/llm_chat/cli/__init__.py

@@ -0,0 +1,3 @@
+from llm_chat.cli.main import app
+
+__all__ = ["app"]

src/llm_chat/cli/bot.py

@@ -0,0 +1,79 @@
+from pathlib import Path
+from typing import Annotated, Any, Optional
+
+import typer
+
+from llm_chat.bot import Bot
+from llm_chat.settings import OpenAISettings
+
+app = typer.Typer()
+
+
+@app.command("create")
+def create(
+    name: Annotated[
+        str,
+        typer.Argument(help="Name of bot to create."),
+    ],
+    base_dir: Annotated[
+        Optional[Path],
+        typer.Option(
+            ...,
+            "--base-dir",
+            "-d",
+            help=(
+                "Path to the base directory in which conversation "
+                "configuration and history will be saved."
+            ),
+        ),
+    ] = None,
+    context_files: Annotated[
+        list[Path],
+        typer.Option(
+            ...,
+            "--context",
+            "-c",
+            help=(
+                "Path to a file containing context text. "
+                "Can provide multiple times for multiple files."
+            ),
+            exists=True,
+            file_okay=True,
+            dir_okay=False,
+            readable=True,
+        ),
+    ] = [],
+) -> None:
+    """Create a new bot."""
+    args: dict[str, Any] = {}
+    if base_dir is not None:
+        args |= {"base_dir": base_dir}
+    settings = OpenAISettings(**args)
+    Bot.create(name, settings.bot_dir, context_files=context_files)
+
+
+@app.command("remove")
+def remove(
+    name: Annotated[
+        str,
+        typer.Argument(help="Name of bot to remove."),
+    ],
+    base_dir: Annotated[
+        Optional[Path],
+        typer.Option(
+            ...,
+            "--base-dir",
+            "-d",
+            help=(
+                "Path to the base directory in which conversation "
+                "configuration and history will be saved."
+            ),
+        ),
+    ] = None,
+) -> None:
+    """Remove an existing bot."""
+    args: dict[str, Any] = {}
+    if base_dir is not None:
+        args |= {"base_dir": base_dir}
+    settings = OpenAISettings(**args)
+    Bot.remove(name, settings.bot_dir)

src/llm_chat/cli/main.py

@@ -7,16 +7,12 @@ from rich.console import Console
 from rich.markdown import Markdown
 
 from llm_chat.chat import ChatProtocol, get_chat, get_chat_class
+from llm_chat.cli import bot
 from llm_chat.models import Message, Role
-from llm_chat.settings import (
+from llm_chat.settings import Model, OpenAISettings
-    DEFAULT_HISTORY_DIR,
-    DEFAULT_MODEL,
-    DEFAULT_TEMPERATURE,
-    Model,
-    OpenAISettings,
-)
 
 app = typer.Typer()
+app.add_typer(bot.app, name="bot", help="Manage custom bots.")
 
 
 def prompt_continuation(width: int, *args: Any) -> str:
@@ -79,6 +75,8 @@ def run_conversation(current_chat: ChatProtocol) -> None:
     )
     if current_chat.name:
         console.print(f"[bold green]Name:[/bold green] {current_chat.name}")
+    if current_chat.bot:
+        console.print(f"[bold green]Bot:[/bold green] {current_chat.bot}")
 
     while not finished:
         prompt = read_user_input(session)
@@ -106,15 +104,15 @@ def chat(
         ),
     ] = None,
     model: Annotated[
-        Model,
+        Optional[Model],
         typer.Option(..., "--model", "-m", help="Model to use.", show_choices=True),
-    ] = DEFAULT_MODEL,
+    ] = None,
     temperature: Annotated[
-        float,
+        Optional[float],
         typer.Option(
             ..., "--temperature", "-t", help="Model temperature (i.e. creativeness)."
         ),
-    ] = DEFAULT_TEMPERATURE,
+    ] = None,
     context: Annotated[
         list[Path],
         typer.Option(
@@ -123,7 +121,7 @@ def chat(
             "-c",
             help=(
                 "Path to a file containing context text. "
-                "Can provide multiple time for multiple files."
+                "Can provide multiple times for multiple files."
             ),
             exists=True,
             file_okay=True,
@@ -131,18 +129,18 @@ def chat(
             readable=True,
         ),
     ] = [],
-    history_dir: Annotated[
+    base_dir: Annotated[
-        Path,
+        Optional[Path],
         typer.Option(
             ...,
-            "--history-dir",
+            "--base-dir",
             "-d",
-            help="Path to the directory where conversation history will be saved.",
+            help=(
-            exists=True,
+                "Path to the base directory in which conversation "
-            dir_okay=True,
+                "configuration and history will be saved."
-            file_okay=False,
             ),
-    ] = DEFAULT_HISTORY_DIR,
+        ),
+    ] = None,
     name: Annotated[
         str,
         typer.Option(
@@ -152,24 +150,31 @@ def chat(
             help="Name of the chat.",
         ),
     ] = "",
+    bot: Annotated[
+        str,
+        typer.Option(
+            ..., "--bot", "-b", help="Name of bot with whom you want to chat."
+        ),
+    ] = "",
 ) -> None:
     """Start a chat session."""
     # TODO: Add option to provide context string as an argument.
+    args: dict[str, Any] = {}
     if api_key is not None:
-        settings = OpenAISettings(
+        args |= {"api_key": api_key}
-            api_key=api_key,
+    if model is not None:
-            model=model,
+        args |= {"model": model}
-            temperature=temperature,
+    if temperature is not None:
-            history_dir=history_dir,
+        args |= {"temperature": temperature}
-        )
+    if base_dir is not None:
-    else:
+        args |= {"base_dir": base_dir}
-        settings = OpenAISettings(
+    settings = OpenAISettings(**args)
-            model=model, temperature=temperature, history_dir=history_dir
-        )
 
     context_messages = [load_context(path) for path in context]
 
-    current_chat = get_chat(settings=settings, context=context_messages, name=name)
+    current_chat = get_chat(
+        settings=settings, context=context_messages, name=name, bot=bot
+    )
 
     run_conversation(current_chat)
 

src/llm_chat/models.py

@@ -32,6 +32,7 @@ class Conversation(BaseModel):
     model: Model
     temperature: float = DEFAULT_TEMPERATURE
     name: str = ""
+    bot: str = ""
     completion_tokens: int = 0
     prompt_tokens: int = 0
     cost: float = 0.0

src/llm_chat/settings.py

@@ -10,11 +10,14 @@ class Model(StrEnum):
 
     GPT3 = "gpt-3.5-turbo"
     GPT4 = "gpt-4"
+    GPT4_TURBO = "gpt-4-turbo-preview"
 
 
 DEFAULT_MODEL = Model.GPT3
 DEFAULT_TEMPERATURE = 0.7
-DEFAULT_HISTORY_DIR = Path.home() / ".llm_chat"
+DEFAULT_BASE_DIR = Path.home() / ".llm-chat"
+DEFAULT_BOT_PATH = "bots"
+DEFAULT_HISTORY_PATH = "history"
 
 
 class OpenAISettings(BaseSettings):
@@ -23,7 +26,9 @@ class OpenAISettings(BaseSettings):
     api_key: str = ""
     model: Model = DEFAULT_MODEL
     temperature: float = DEFAULT_TEMPERATURE
-    history_dir: Path = DEFAULT_HISTORY_DIR
+    base_dir: Path = DEFAULT_BASE_DIR
+    bot_path: str = DEFAULT_BOT_PATH
+    history_path: str = DEFAULT_HISTORY_PATH
 
     model_config: SettingsConfigDict = SettingsConfigDict(  # type: ignore[misc]
         env_file=".env",
@@ -33,9 +38,25 @@ class OpenAISettings(BaseSettings):
         use_enum_values=True,
     )
 
-    @field_validator("history_dir")
+    @field_validator("base_dir")
-    def history_dir_must_exist(cls, history_dir: Path) -> Path:
+    def base_dir_must_exist(cls, base_dir: Path) -> Path:
-        """Ensure that the history directory exists."""
+        """Ensure that the base directory exists."""
-        if not history_dir.exists():
+        if not base_dir.exists():
-            history_dir.mkdir(parents=True)
+            base_dir.mkdir(parents=True)
-        return history_dir
+        return base_dir
+
+    @property
+    def bot_dir(self) -> Path:
+        """Return bot directory Path object, creating if required."""
+        path = self.base_dir / self.bot_path
+        if not path.exists():
+            path.mkdir()
+        return path
+
+    @property
+    def history_dir(self) -> Path:
+        """Return history directory Path object, creating if required."""
+        path = self.base_dir / self.history_path
+        if not path.exists():
+            path.mkdir()
+        return path

src/llm_chat/utils.py

@@ -0,0 +1,9 @@
+import re
+
+
+def kebab_case(string: str) -> str:
+    """Convert a string to kebab case."""
+    string = string.replace("-", " ")
+    string = re.sub("([A-Z][a-z]+)", r" \1", string)
+    string = re.sub("([A-Z]+)", r" \1", string)
+    return "-".join(string.split()).lower()

tests/conftest.py

@@ -11,6 +11,6 @@ def mock_openai_api_key() -> None:
 
 
 @pytest.fixture(autouse=True)
-def mock_history_dir(tmp_path: Path) -> None:
+def mock_base_dir(tmp_path: Path) -> None:
     """Set a fake history directory."""
-    os.environ["OPENAI_HISTORY_DIR"] = str(tmp_path / ".llm_chat")
+    os.environ["OPENAI_BASE_DIR"] = str(tmp_path / ".llm_chat")

tests/test_bot.py

@@ -0,0 +1,64 @@
+from pathlib import Path
+
+import pytest
+
+from llm_chat.bot import Bot, BotConfig, BotDoesNotExist, BotExists
+
+
+def test_create_load_remove_bot(tmp_path: Path) -> None:
+    bot_name = "Test Bot"
+    bot_id = "test-bot"
+
+    with (tmp_path / "context.md").open("w") as f:
+        f.write("Hello, world!")
+
+    assert not (tmp_path / bot_id).exists()
+
+    Bot.create(
+        name=bot_name,
+        bot_dir=tmp_path,
+        context_files=[tmp_path / "context.md"],
+    )
+
+    assert (tmp_path / bot_id).exists()
+    assert (tmp_path / bot_id / "context").exists()
+    assert (tmp_path / bot_id / "context" / "context.md").exists()
+    assert (tmp_path / bot_id / f"{bot_id}.json").exists()
+
+    with (tmp_path / bot_id / f"{bot_id}.json").open() as f:
+        config = BotConfig.model_validate_json(f.read(), strict=True)
+        assert config.name == bot_name
+        assert config.bot_id == bot_id
+        assert config.context_files == ["context.md"]
+
+    with (tmp_path / bot_id / "context" / "context.md").open() as f:
+        assert f.read() == "Hello, world!"
+
+    bot = Bot.load(name=bot_name, bot_dir=tmp_path)
+    assert bot.config == config
+    assert bot.id == bot_id
+    assert bot.name == bot_name
+
+    Bot.remove(name=bot_name, bot_dir=tmp_path)
+
+    assert not (tmp_path / bot_id).exists()
+
+
+def test_bot_does_not_exist(tmp_path: Path) -> None:
+    with pytest.raises(BotDoesNotExist):
+        Bot.load(name="Test Bot", bot_dir=tmp_path)
+
+
+def test_bot_already_exists(tmp_path: Path) -> None:
+    bot_name = "Test Bot"
+
+    Bot.create(
+        name=bot_name,
+        bot_dir=tmp_path,
+    )
+
+    with pytest.raises(BotExists):
+        Bot.create(
+            name="Test Bot",
+            bot_dir=tmp_path,
+        )

tests/test_chat.py

@@ -4,7 +4,11 @@ from unittest.mock import patch
 from zoneinfo import ZoneInfo
 
 import pytest
+from openai.types.chat import ChatCompletion, ChatCompletionMessage
+from openai.types.chat.chat_completion import Choice
+from openai.types.completion_usage import CompletionUsage
 
+from llm_chat.bot import Bot
 from llm_chat.chat import Chat, save_conversation
 from llm_chat.models import Conversation, Message, Role
 from llm_chat.settings import Model, OpenAISettings
@@ -67,19 +71,21 @@ def test_load(tmp_path: Path) -> None:
     )
 
     # Save the conversation to a file
-    file_path = tmp_path / "conversation.json"
+    history_dir = tmp_path / "history"
+    history_dir.mkdir()
+    file_path = history_dir / "conversation.json"
     with file_path.open("w") as f:
         f.write(conversation.model_dump_json())
 
     # Load the conversation from the file
-    loaded_chat = Chat.load(file_path, api_key="foo", history_dir=tmp_path)
+    loaded_chat = Chat.load(file_path, api_key="foo", base_dir=tmp_path)
 
     # Check that the loaded conversation matches the original conversation
     assert loaded_chat.settings.model == conversation.model
     assert loaded_chat.settings.temperature == conversation.temperature
     assert loaded_chat.conversation.messages == conversation.messages
     assert loaded_chat.settings.api_key == "foo"
-    assert loaded_chat.settings.history_dir == tmp_path
+    assert loaded_chat.settings.base_dir == tmp_path
 
     # We don't want to load the tokens or cost from the previous session
     assert loaded_chat.conversation.completion_tokens == 0
@@ -89,24 +95,70 @@ def test_load(tmp_path: Path) -> None:
 
 def test_send_message() -> None:
     with patch("llm_chat.chat.Chat._make_request") as mock_make_request:
-        mock_make_request.return_value = {
+        mock_make_request.return_value = ChatCompletion(
-            "choices": [{"message": {"content": "Hello!"}}],
+            choices=[
-            "usage": {"completion_tokens": 1, "prompt_tokens": 1},
+                Choice(
-        }
+                    message=ChatCompletionMessage(content="Hello!", role="assistant"),
+                    finish_reason="stop",
+                    index=0,
+                ),
+            ],
+            id="foo",
+            created=0,
+            model="gpt-3.5-turbo-0613",
+            object="chat.completion",
+            usage=CompletionUsage(
+                completion_tokens=1,
+                prompt_tokens=1,
+                total_tokens=2,
+            ),
+        )
         conversation = Chat()
         response = conversation.send_message("Hello")
         assert isinstance(response, str)
         assert response == "Hello!"
 
 
-@pytest.mark.parametrize("model,cost", [(Model.GPT3, 0.000043), (Model.GPT4, 0.00105)])
+@pytest.mark.parametrize(
+    "model,cost", [(Model.GPT3, round(0.000027, 6)), (Model.GPT4, 0.00105)]
+)
 def test_calculate_cost(model: Model, cost: float) -> None:
     with patch("llm_chat.chat.Chat._make_request") as mock_make_request:
-        mock_make_request.return_value = {
+        mock_make_request.return_value = ChatCompletion(
-            "choices": [{"message": {"content": "Hello!"}}],
+            choices=[
-            "usage": {"completion_tokens": 10, "prompt_tokens": 15},
+                Choice(
-        }
+                    message=ChatCompletionMessage(content="Hello!", role="assistant"),
+                    finish_reason="stop",
+                    index=0,
+                ),
+            ],
+            id="foo",
+            created=0,
+            model="gpt-3.5-turbo-0613",
+            object="chat.completion",
+            usage=CompletionUsage(
+                completion_tokens=10,
+                prompt_tokens=15,
+                total_tokens=25,
+            ),
+        )
         settings = OpenAISettings(model=model)
         conversation = Chat(settings=settings)
         _ = conversation.send_message("Hello")
         assert conversation.cost == cost
+
+
+def test_chat_with_bot(tmp_path: Path) -> None:
+    settings = OpenAISettings()
+    bot_name = "Test Bot"
+    context = "Hello, world!"
+
+    with (tmp_path / "context.md").open("w") as f:
+        f.write(context)
+
+    Bot.create(
+        name=bot_name, bot_dir=settings.bot_dir, context_files=[tmp_path / "context.md"]
+    )
+
+    chat = Chat(settings=settings, bot=bot_name)
+    assert chat.conversation.messages[-1].content == context

tests/test_cli.py

@@ -9,9 +9,9 @@ from pytest import MonkeyPatch
 from rich.console import Console
 from typer.testing import CliRunner
 
-import llm_chat
+import llm_chat.cli
 from llm_chat.chat import ChatProtocol
-from llm_chat.cli import app
+from llm_chat.cli.main import app
 from llm_chat.models import Conversation, Message, Role
 from llm_chat.settings import Model, OpenAISettings
 
@@ -37,6 +37,11 @@ class ChatFake:
     def _set_args(self, **kwargs: Any) -> None:
         self.args = kwargs
 
+    @property
+    def bot(self) -> str:
+        """Get the name of the bot the conversation is with."""
+        return self.args.get("bot", "")
+
     @property
     def cost(self) -> float:
         """Get the cost of the conversation."""
@@ -77,9 +82,9 @@ def test_chat(monkeypatch: MonkeyPatch) -> None:
 
     mock_read_user_input = MagicMock(side_effect=["Hello", "/q"])
 
-    monkeypatch.setattr(llm_chat.cli, "get_chat", mock_get_chat)
+    monkeypatch.setattr(llm_chat.cli.main, "get_chat", mock_get_chat)
-    monkeypatch.setattr(llm_chat.cli, "get_console", mock_get_console)
+    monkeypatch.setattr(llm_chat.cli.main, "get_console", mock_get_console)
-    monkeypatch.setattr(llm_chat.cli, "read_user_input", mock_read_user_input)
+    monkeypatch.setattr(llm_chat.cli.main, "read_user_input", mock_read_user_input)
 
     result = runner.invoke(app, ["chat"])
     assert result.exit_code == 0
@@ -107,9 +112,9 @@ def test_chat_with_context(
 
     mock_read_user_input = MagicMock(side_effect=["Hello", "/q"])
 
-    monkeypatch.setattr(llm_chat.cli, "get_chat", mock_get_chat)
+    monkeypatch.setattr(llm_chat.cli.main, "get_chat", mock_get_chat)
-    monkeypatch.setattr(llm_chat.cli, "get_console", mock_get_console)
+    monkeypatch.setattr(llm_chat.cli.main, "get_console", mock_get_console)
-    monkeypatch.setattr(llm_chat.cli, "read_user_input", mock_read_user_input)
+    monkeypatch.setattr(llm_chat.cli.main, "read_user_input", mock_read_user_input)
 
     result = runner.invoke(app, ["chat", argument, str(tmp_file)])
     assert result.exit_code == 0
@@ -139,9 +144,9 @@ def test_chat_with_name(
 
     mock_read_user_input = MagicMock(side_effect=["Hello", "/q"])
 
-    monkeypatch.setattr(llm_chat.cli, "get_chat", mock_get_chat)
+    monkeypatch.setattr(llm_chat.cli.main, "get_chat", mock_get_chat)
-    monkeypatch.setattr(llm_chat.cli, "get_console", mock_get_console)
+    monkeypatch.setattr(llm_chat.cli.main, "get_console", mock_get_console)
-    monkeypatch.setattr(llm_chat.cli, "read_user_input", mock_read_user_input)
+    monkeypatch.setattr(llm_chat.cli.main, "read_user_input", mock_read_user_input)
 
     result = runner.invoke(app, ["chat", argument, name])
     assert result.exit_code == 0
@@ -179,9 +184,9 @@ def test_load(monkeypatch: MonkeyPatch, tmp_path: Path) -> None:
 
     mock_read_user_input = MagicMock(side_effect=["Hello", "/q"])
 
-    monkeypatch.setattr(llm_chat.cli, "get_chat_class", mock_get_chat)
+    monkeypatch.setattr(llm_chat.cli.main, "get_chat_class", mock_get_chat)
-    monkeypatch.setattr(llm_chat.cli, "get_console", mock_get_console)
+    monkeypatch.setattr(llm_chat.cli.main, "get_console", mock_get_console)
-    monkeypatch.setattr(llm_chat.cli, "read_user_input", mock_read_user_input)
+    monkeypatch.setattr(llm_chat.cli.main, "read_user_input", mock_read_user_input)
 
     # Load the conversation from the file
     result = runner.invoke(app, ["load", str(file_path)])

tests/test_utils.py

@@ -0,0 +1,22 @@
+import pytest
+
+from llm_chat.utils import kebab_case
+
+
+@pytest.mark.parametrize(
+    "string,expected",
+    [
+        ("fooBar", "foo-bar"),
+        ("FooBar", "foo-bar"),
+        ("Foo Bar", "foo-bar"),
+        ("1Foo2Bar3", "1-foo2-bar3"),
+    ],
+    ids=[
+        "fooBar",
+        "FooBar",
+        "Foo Bar",
+        "1Foo2Bar3",
+    ],
+)
+def test_kebab_case(string: str, expected: str) -> None:
+    assert kebab_case(string) == expected