.gitignore

@@ -8,39 +8,6 @@
 ### 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__/

poetry.lock

@@ -1,4 +1,126 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+
+[[package]]
+name = "aiohttp"
+version = "3.8.5"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.6"
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+[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"
+files = [
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+]
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
 
 [[package]]
 name = "annotated-types"
@@ -12,24 +134,33 @@ files = [
 ]
 
 [[package]]
-name = "anyio"
+name = "async-timeout"
-version = "4.2.0"
+version = "4.0.3"
-description = "High level compatibility layer for multiple asynchronous event loop implementations"
+description = "Timeout context manager for asyncio programs"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
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+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
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 ]
 
-[package.dependencies]
+[[package]]
-idna = ">=2.8"
+name = "attrs"
-sniffio = ">=1.1"
+version = "23.1.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-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)"]
+dev = ["attrs[docs,tests]", "pre-commit"]
-trio = ["trio (>=0.23)"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
+tests = ["attrs[tests-no-zope]", "zope-interface"]
+tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "black"
@@ -86,6 +217,90 @@ files = [
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 ]
 
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+optional = false
+python-versions = ">=3.7.0"
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 [[package]]
 name = "click"
 version = "8.1.6"
@@ -112,72 +327,75 @@ files = [
 ]
 
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-name = "distro"
+name = "frozenlist"
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-description = "Distro - an OS platform information API"
+description = "A list-like structure which implements collections.abc.MutableSequence"
-optional = false
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-[package.dependencies]
-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]]
-name = "httpx"
-version = "0.26.0"
-description = "The next generation HTTP client."
-optional = false
-python-versions = ">=3.8"
-files = [
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-
-[package.dependencies]
-anyio = "*"
-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"
@@ -252,6 +470,89 @@ files = [
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
+[[package]]
+name = "multidict"
+version = "6.0.4"
+description = "multidict implementation"
+optional = false
+python-versions = ">=3.7"
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 version = "1.5.0"
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+version = "0.27.8"
-description = "The official Python library for the openai API"
+description = "Python client library for the OpenAI API"
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 [[package]]
 name = "packaging"
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 typing-extensions = ">=4.6.1"
 
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 [package.dependencies]
@@ -608,6 +904,27 @@ files = [
 [package.extras]
 cli = ["click (>=5.0)"]
 
+[[package]]
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+description = "Python HTTP for Humans."
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+
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 version = "13.5.2"
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+optional = false
+python-versions = ">=3.7"
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 version = "0.2.6"
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+    {file = "yarl-1.9.2-cp38-cp38-win32.whl", hash = "sha256:f7a3d8146575e08c29ed1cd287068e6d02f1c7bdff8970db96683b9591b86ee7"},
+    {file = "yarl-1.9.2-cp38-cp38-win_amd64.whl", hash = "sha256:63c48f6cef34e6319a74c727376e95626f84ea091f92c0250a98e53e62c77c72"},
+    {file = "yarl-1.9.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:75df5ef94c3fdc393c6b19d80e6ef1ecc9ae2f4263c09cacb178d871c02a5ba9"},
+    {file = "yarl-1.9.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c027a6e96ef77d401d8d5a5c8d6bc478e8042f1e448272e8d9752cb0aff8b5c8"},
+    {file = "yarl-1.9.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f3b078dbe227f79be488ffcfc7a9edb3409d018e0952cf13f15fd6512847f3f7"},
+    {file = "yarl-1.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:59723a029760079b7d991a401386390c4be5bfec1e7dd83e25a6a0881859e716"},
+    {file = "yarl-1.9.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b03917871bf859a81ccb180c9a2e6c1e04d2f6a51d953e6a5cdd70c93d4e5a2a"},
+    {file = "yarl-1.9.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c1012fa63eb6c032f3ce5d2171c267992ae0c00b9e164efe4d73db818465fac3"},
+    {file = "yarl-1.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a74dcbfe780e62f4b5a062714576f16c2f3493a0394e555ab141bf0d746bb955"},
+    {file = "yarl-1.9.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8c56986609b057b4839968ba901944af91b8e92f1725d1a2d77cbac6972b9ed1"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2c315df3293cd521033533d242d15eab26583360b58f7ee5d9565f15fee1bef4"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:b7232f8dfbd225d57340e441d8caf8652a6acd06b389ea2d3222b8bc89cbfca6"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:53338749febd28935d55b41bf0bcc79d634881195a39f6b2f767870b72514caf"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:066c163aec9d3d073dc9ffe5dd3ad05069bcb03fcaab8d221290ba99f9f69ee3"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8288d7cd28f8119b07dd49b7230d6b4562f9b61ee9a4ab02221060d21136be80"},
+    {file = "yarl-1.9.2-cp39-cp39-win32.whl", hash = "sha256:b124e2a6d223b65ba8768d5706d103280914d61f5cae3afbc50fc3dfcc016623"},
+    {file = "yarl-1.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:61016e7d582bc46a5378ffdd02cd0314fb8ba52f40f9cf4d9a5e7dbef88dee18"},
+    {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 = "8d76898eeb53fd3848f3be2f6aa1662517f9dbd80146db8dfd6f2932021ace48"
+content-hash = "5b81fe2c2ca1756c2c446ab727fd30fd976ed7d8c82ffb8f7d3870c38755bce6"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "llm-chat"
-version = "2.0.0"
+version = "1.0.0"
 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 = "^1.9"
+openai = "^0.27.8"
-pydantic = "^2.5.3"
+pydantic = "^2.1.1"
 pydantic-settings = "^2.0.2"
 typer = {extras = ["all"], version = "^0.9.0"}
 prompt-toolkit = "^3.0.39"
@@ -21,7 +21,6 @@ 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

@@ -1,162 +0,0 @@
-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

@@ -1,15 +1,12 @@
-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 OpenAI
+from openai import ChatCompletion
-from openai.types.chat import ChatCompletion
+from openai.openai_object import OpenAIObject
-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
 
@@ -54,10 +51,6 @@ 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."""
@@ -73,36 +66,28 @@ class ChatProtocol(Protocol):
     def save(self) -> None:
         """Save the conversation to the history directory."""
 
-    def send_message(self, prompt: str) -> str:
+    def send_message(self, message: str) -> str:
         """Send a message to the assistant."""
 
 
 class Chat:
     """Interface class for OpenAI's ChatGPT chat API.
 
-    Args:
+    Arguments:
-        settings: Settings for the chat. Defaults to reading from environment
+        settings (optional): Settings for the chat. Defaults to reading from
-            variables.
+            environment variables.
-        context: Context for the chat. Defaults to an empty list.
+        context (optional): 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: 0.0005,
+            Token.COMPLETION: 0.002,
             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__(
@@ -110,32 +95,22 @@ 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=context,
+            messages=INITIAL_SYSTEM_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, base_dir: Path | None = None
+        cls, path: Path, api_key: str | None = None, history_dir: Path | None = None
     ) -> ChatProtocol:
         """Load a chat from a file."""
         with path.open() as f:
@@ -146,8 +121,8 @@ class Chat:
         }
         if api_key is not None:
             args["api_key"] = api_key
-        if base_dir is not None:
+        if history_dir is not None:
-            args["base_dir"] = base_dir
+            args["history_dir"] = history_dir
 
         settings = OpenAISettings(**args)
         return cls(
@@ -163,11 +138,6 @@ 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."""
@@ -178,7 +148,7 @@ class Chat:
         """Get the name of the conversation."""
         return self.conversation.name
 
-    def _make_request(self, message: str) -> ChatCompletion:
+    def _make_request(self, message: str) -> dict[str, Any]:
         """Send a request to the OpenAI API.
 
         TODO: Add error handling.
@@ -186,30 +156,26 @@ class Chat:
         """
         self.conversation.messages.append(Message(role=Role.USER, content=message))
 
-        response: ChatCompletion = self._client.chat.completions.create(
+        response: OpenAIObject = ChatCompletion.create(
             model=self.settings.model,
             temperature=self.settings.temperature,
+            api_key=self.settings.api_key,
             messages=self.conversation.model_dump()["messages"],
-            stream=False,
         )
 
-        return response
+        out: dict[str, Any] = response.to_dict()
+        return out
 
-    def _calculate_cost(self, usage: CompletionUsage) -> None:
+    def _calculate_cost(self, usage: dict[str, int]) -> 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 = (
+        self.conversation.cost = round(
-            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:
@@ -226,24 +192,19 @@ class Chat:
         TODO: Add error handling.
         """
         request_response = self._make_request(prompt)
-
+        self._calculate_cost(request_response["usage"])
-        if request_response.usage is not None:
+        response: str = request_response["choices"][0]["message"]["content"]
-            self._calculate_cost(request_response.usage)
-        response = request_response.choices[0].message.content
         self.conversation.messages.append(
-            Message(role=Role.ASSISTANT, content=response if response else "")
+            Message(role=Role.ASSISTANT, content=response)
         )
-        return response if response else ""
+        return response
 
 
 def get_chat(
-    settings: OpenAISettings | None = None,
+    settings: OpenAISettings | None = None, context: list[Message] = [], name: str = ""
-    context: list[Message] = [],
-    name: str = "",
-    bot: str = "",
 ) -> ChatProtocol:
     """Get a chat object."""
-    return Chat(settings=settings, context=context, name=name, bot=bot)
+    return Chat(settings=settings, context=context, name=name)
 
 
 def get_chat_class() -> Type[Chat]:

src/llm_chat/cli.py

@@ -7,12 +7,16 @@ 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 Model, OpenAISettings
+from llm_chat.settings import (
+    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:
@@ -75,8 +79,6 @@ 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)
@@ -104,15 +106,15 @@ def chat(
         ),
     ] = None,
     model: Annotated[
-        Optional[Model],
+        Model,
         typer.Option(..., "--model", "-m", help="Model to use.", show_choices=True),
-    ] = None,
+    ] = DEFAULT_MODEL,
     temperature: Annotated[
-        Optional[float],
+        float,
         typer.Option(
             ..., "--temperature", "-t", help="Model temperature (i.e. creativeness)."
         ),
-    ] = None,
+    ] = DEFAULT_TEMPERATURE,
     context: Annotated[
         list[Path],
         typer.Option(
@@ -121,7 +123,7 @@ def chat(
             "-c",
             help=(
                 "Path to a file containing context text. "
-                "Can provide multiple times for multiple files."
+                "Can provide multiple time for multiple files."
             ),
             exists=True,
             file_okay=True,
@@ -129,18 +131,18 @@ def chat(
             readable=True,
         ),
     ] = [],
-    base_dir: Annotated[
+    history_dir: Annotated[
-        Optional[Path],
+        Path,
         typer.Option(
             ...,
-            "--base-dir",
+            "--history-dir",
             "-d",
-            help=(
+            help="Path to the directory where conversation history will be saved.",
-                "Path to the base directory in which conversation "
+            exists=True,
-                "configuration and history will be saved."
+            dir_okay=True,
+            file_okay=False,
         ),
-        ),
+    ] = DEFAULT_HISTORY_DIR,
-    ] = None,
     name: Annotated[
         str,
         typer.Option(
@@ -150,31 +152,24 @@ 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:
-        args |= {"api_key": api_key}
+        settings = OpenAISettings(
-    if model is not None:
+            api_key=api_key,
-        args |= {"model": model}
+            model=model,
-    if temperature is not None:
+            temperature=temperature,
-        args |= {"temperature": temperature}
+            history_dir=history_dir,
-    if base_dir is not None:
+        )
-        args |= {"base_dir": base_dir}
+    else:
-    settings = OpenAISettings(**args)
+        settings = OpenAISettings(
+            model=model, temperature=temperature, history_dir=history_dir
+        )
 
     context_messages = [load_context(path) for path in context]
 
-    current_chat = get_chat(
+    current_chat = get_chat(settings=settings, context=context_messages, name=name)
-        settings=settings, context=context_messages, name=name, bot=bot
-    )
 
     run_conversation(current_chat)
 

src/llm_chat/cli/__init__.py

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

src/llm_chat/cli/bot.py

@@ -1,79 +0,0 @@
-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/models.py

@@ -32,7 +32,6 @@ 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

@@ -10,14 +10,11 @@ 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_BASE_DIR = Path.home() / ".llm-chat"
+DEFAULT_HISTORY_DIR = Path.home() / ".llm_chat"
-DEFAULT_BOT_PATH = "bots"
-DEFAULT_HISTORY_PATH = "history"
 
 
 class OpenAISettings(BaseSettings):
@@ -26,9 +23,7 @@ class OpenAISettings(BaseSettings):
     api_key: str = ""
     model: Model = DEFAULT_MODEL
     temperature: float = DEFAULT_TEMPERATURE
-    base_dir: Path = DEFAULT_BASE_DIR
+    history_dir: Path = DEFAULT_HISTORY_DIR
-    bot_path: str = DEFAULT_BOT_PATH
-    history_path: str = DEFAULT_HISTORY_PATH
 
     model_config: SettingsConfigDict = SettingsConfigDict(  # type: ignore[misc]
         env_file=".env",
@@ -38,25 +33,9 @@ class OpenAISettings(BaseSettings):
         use_enum_values=True,
     )
 
-    @field_validator("base_dir")
+    @field_validator("history_dir")
-    def base_dir_must_exist(cls, base_dir: Path) -> Path:
+    def history_dir_must_exist(cls, history_dir: Path) -> Path:
-        """Ensure that the base directory exists."""
+        """Ensure that the history directory exists."""
-        if not base_dir.exists():
+        if not history_dir.exists():
-            base_dir.mkdir(parents=True)
+            history_dir.mkdir(parents=True)
-        return base_dir
+        return history_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

@@ -1,9 +0,0 @@
-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_base_dir(tmp_path: Path) -> None:
+def mock_history_dir(tmp_path: Path) -> None:
     """Set a fake history directory."""
-    os.environ["OPENAI_BASE_DIR"] = str(tmp_path / ".llm_chat")
+    os.environ["OPENAI_HISTORY_DIR"] = str(tmp_path / ".llm_chat")

tests/test_bot.py

@@ -1,64 +0,0 @@
-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

@@ -4,11 +4,7 @@ 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
@@ -71,21 +67,19 @@ def test_load(tmp_path: Path) -> None:
     )
 
     # Save the conversation to a file
-    history_dir = tmp_path / "history"
+    file_path = tmp_path / "conversation.json"
-    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", base_dir=tmp_path)
+    loaded_chat = Chat.load(file_path, api_key="foo", history_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.base_dir == tmp_path
+    assert loaded_chat.settings.history_dir == tmp_path
 
     # We don't want to load the tokens or cost from the previous session
     assert loaded_chat.conversation.completion_tokens == 0
@@ -95,70 +89,24 @@ 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 = ChatCompletion(
+        mock_make_request.return_value = {
-            choices=[
+            "choices": [{"message": {"content": "Hello!"}}],
-                Choice(
+            "usage": {"completion_tokens": 1, "prompt_tokens": 1},
-                    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(
+@pytest.mark.parametrize("model,cost", [(Model.GPT3, 0.000043), (Model.GPT4, 0.00105)])
-    "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 = ChatCompletion(
+        mock_make_request.return_value = {
-            choices=[
+            "choices": [{"message": {"content": "Hello!"}}],
-                Choice(
+            "usage": {"completion_tokens": 10, "prompt_tokens": 15},
-                    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.cli
+import llm_chat
 from llm_chat.chat import ChatProtocol
-from llm_chat.cli.main import app
+from llm_chat.cli import app
 from llm_chat.models import Conversation, Message, Role
 from llm_chat.settings import Model, OpenAISettings
 
@@ -37,11 +37,6 @@ 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."""
@@ -82,9 +77,9 @@ def test_chat(monkeypatch: MonkeyPatch) -> None:
 
     mock_read_user_input = MagicMock(side_effect=["Hello", "/q"])
 
-    monkeypatch.setattr(llm_chat.cli.main, "get_chat", mock_get_chat)
+    monkeypatch.setattr(llm_chat.cli, "get_chat", mock_get_chat)
-    monkeypatch.setattr(llm_chat.cli.main, "get_console", mock_get_console)
+    monkeypatch.setattr(llm_chat.cli, "get_console", mock_get_console)
-    monkeypatch.setattr(llm_chat.cli.main, "read_user_input", mock_read_user_input)
+    monkeypatch.setattr(llm_chat.cli, "read_user_input", mock_read_user_input)
 
     result = runner.invoke(app, ["chat"])
     assert result.exit_code == 0
@@ -112,9 +107,9 @@ def test_chat_with_context(
 
     mock_read_user_input = MagicMock(side_effect=["Hello", "/q"])
 
-    monkeypatch.setattr(llm_chat.cli.main, "get_chat", mock_get_chat)
+    monkeypatch.setattr(llm_chat.cli, "get_chat", mock_get_chat)
-    monkeypatch.setattr(llm_chat.cli.main, "get_console", mock_get_console)
+    monkeypatch.setattr(llm_chat.cli, "get_console", mock_get_console)
-    monkeypatch.setattr(llm_chat.cli.main, "read_user_input", mock_read_user_input)
+    monkeypatch.setattr(llm_chat.cli, "read_user_input", mock_read_user_input)
 
     result = runner.invoke(app, ["chat", argument, str(tmp_file)])
     assert result.exit_code == 0
@@ -144,9 +139,9 @@ def test_chat_with_name(
 
     mock_read_user_input = MagicMock(side_effect=["Hello", "/q"])
 
-    monkeypatch.setattr(llm_chat.cli.main, "get_chat", mock_get_chat)
+    monkeypatch.setattr(llm_chat.cli, "get_chat", mock_get_chat)
-    monkeypatch.setattr(llm_chat.cli.main, "get_console", mock_get_console)
+    monkeypatch.setattr(llm_chat.cli, "get_console", mock_get_console)
-    monkeypatch.setattr(llm_chat.cli.main, "read_user_input", mock_read_user_input)
+    monkeypatch.setattr(llm_chat.cli, "read_user_input", mock_read_user_input)
 
     result = runner.invoke(app, ["chat", argument, name])
     assert result.exit_code == 0
@@ -184,9 +179,9 @@ def test_load(monkeypatch: MonkeyPatch, tmp_path: Path) -> None:
 
     mock_read_user_input = MagicMock(side_effect=["Hello", "/q"])
 
-    monkeypatch.setattr(llm_chat.cli.main, "get_chat_class", mock_get_chat)
+    monkeypatch.setattr(llm_chat.cli, "get_chat_class", mock_get_chat)
-    monkeypatch.setattr(llm_chat.cli.main, "get_console", mock_get_console)
+    monkeypatch.setattr(llm_chat.cli, "get_console", mock_get_console)
-    monkeypatch.setattr(llm_chat.cli.main, "read_user_input", mock_read_user_input)
+    monkeypatch.setattr(llm_chat.cli, "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

@@ -1,22 +0,0 @@
-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