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Basic interface to OpenAI's chat completion API 

This commit implements a basic interface to hold a conversation with
OpenAI's GPT models via their API, using OpenAI's Python SDK. In
addition to this interface, the commit incorporates Pydantic for
managing settings via environment variables.
This commit is contained in:
Paul Harrison 2023-08-14 12:37:20 +01:00
parent dd9a8c96aa
commit c9f01c7dc2
7 changed files with 1018 additions and 0 deletions
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[package.dependencies]
idna = ">=2.0"
multidict = ">=4.0"
[metadata]
lock-version = "2.0"
python-versions = ">=3.11,<3.12"
content-hash = "ea8d122dbf4bdb0e3bc19912dc331bac199115f860752ffa6ec5ecabebcaa742"

11
pyproject.toml
View File

@ -8,7 +8,18 @@ packages = [{include = "llm_chat", from = "src"}]
[tool.poetry.dependencies]
python = ">=3.11,<3.12"
openai = "^0.27.8"
pydantic = "^2.1.1"
pydantic-settings = "^2.0.2"
[tool.poetry.group.test.dependencies]
pytest = "^7.4.0"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.pytest.ini_options]
addopts = ["--verbose"]
pythonpath = ["src"]
testpaths = ["tests"]

68
src/llm_chat/chat.py Normal file
View File

@ -0,0 +1,68 @@
from openai import ChatCompletion
from llm_chat.models import Conversation, Message, Role
from llm_chat.settings import OpenAISettings
INITIAL_SYSTEM_MESSAGES = [
Message(
role=Role.SYSTEM,
content=(
"Always respond in Markdown formatting, using code blocks with the"
"appropriate language tags."
),
),
]
class Chat:
"""Interface class for OpenAI's ChatGPT chat API.
Arguments:
settings (optional): Settings for the chat. Defaults to reading from
environment variables.
context (optional): Context for the chat. Defaults to an empty list.
"""
def __init__(
self,
settings: OpenAISettings = None,
context: list[Message] = []
) -> None:
self._settings = settings
self.conversation = Conversation(
messages=INITIAL_SYSTEM_MESSAGES + context,
)
@property
def settings(self) -> OpenAISettings:
"""Get OpenAI chat settings."""
if self._settings is None:
self._settings = OpenAISettings()
return self._settings
def _make_request(self, message: str) -> dict:
"""Send a request to the OpenAI API.
TODO: Add error handling.
TODO: Pop message from messages if error occurs.
"""
self.conversation.messages.append(Message(role=Role.USER, content=message))
response = ChatCompletion.create(
model=self.settings.model,
temperature=self.settings.temperature,
api_key=self.settings.api_key,
messages=self.conversation.model_dump()["messages"],
)
return response.to_dict()
def send_message(self, message: str) -> None:
"""Send a message to the assistant.
TODO: Add error handling.
"""
response = self._make_request(message)
message = response["choices"][0]["message"]["content"]
self.conversation.messages.append(Message(role=Role.ASSISTANT, content=message))
return message

34
src/llm_chat/models.py Normal file
View File

@ -0,0 +1,34 @@
from enum import StrEnum, auto
from pydantic import BaseModel, ConfigDict
class Role(StrEnum):
"""Role of a user in the chat."""
ASSISTANT = auto()
SYSTEM = auto()
USER = auto()
class Message(BaseModel):
"""Message in the conversation."""
role: Role
content: str
model_config: ConfigDict = ConfigDict(
frozen=True,
use_enum_values=True,
)
class Conversation(BaseModel):
"""Conversation in the chat."""
messages: list[Message]
model_config: ConfigDict = ConfigDict(
frozen=False,
use_enum_values=True,
)

26
src/llm_chat/settings.py Normal file
View File

@ -0,0 +1,26 @@
from enum import StrEnum
from pydantic_settings import BaseSettings, SettingsConfigDict
class Model(StrEnum):
"""Model to use for the LLM Chat application."""
GPT3 = "gpt-3.5-turbo"
GPT4 = "gpt-4"
class OpenAISettings(BaseSettings):
"""Settings for the LLM Chat application."""
api_key: str
model: Model = Model.GPT3
temperature: float = 0.7
model_config: SettingsConfigDict = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
env_prefix="OPENAI_",
frozen=True,
use_enum_values=True,
)

7
tests/conftest.py Normal file
View File

@ -0,0 +1,7 @@
import pytest
import os
@pytest.fixture(autouse=True)
def mock_openai_api_key():
os.environ["OPENAI_API_KEY"] = "dummy_key"

13
tests/test_chat.py Normal file
View File

@ -0,0 +1,13 @@
from unittest.mock import patch
import llm_chat
from llm_chat.chat import Chat
def test_send_message():
with patch("llm_chat.chat.Chat._make_request") as mock_make_request:
mock_make_request.return_value = {"choices": [{"message": {"content": "Hello!"}}]}
conversation = Chat()
response = conversation.send_message("Hello")
assert isinstance(response, str)
assert response == "Hello!"