From 45e7d5482046c0aa3f1f361b7f5a4e46fb2eeed6 Mon Sep 17 00:00:00 2001 From: Paul Harrison Date: Tue, 23 Jan 2024 23:15:11 +0100 Subject: [PATCH] Update openai to v1.7 The update from openai 0.x to 1.x introduced many breaking changes. This commit makes the required refactoring to address these changes. --- poetry.lock | 620 ++++++++----------------------------------- pyproject.toml | 7 +- src/llm_chat/chat.py | 35 +-- tests/test_chat.py | 47 +++- 4 files changed, 171 insertions(+), 538 deletions(-) diff --git a/poetry.lock b/poetry.lock index 362f1d4..c524574 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,126 +1,4 @@ -# 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" -files = [ - {file = "aiohttp-3.8.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a94159871304770da4dd371f4291b20cac04e8c94f11bdea1c3478e557fbe0d8"}, - {file = "aiohttp-3.8.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:13bf85afc99ce6f9ee3567b04501f18f9f8dbbb2ea11ed1a2e079670403a7c84"}, - {file = "aiohttp-3.8.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2ce2ac5708501afc4847221a521f7e4b245abf5178cf5ddae9d5b3856ddb2f3a"}, - 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[metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "5b81fe2c2ca1756c2c446ab727fd30fd976ed7d8c82ffb8f7d3870c38755bce6" +content-hash = "8c2cf3e3e0ec12dd0cbcfea2d88f5423278580fe3b7ef720e1299bb07166fbcb" diff --git a/pyproject.toml b/pyproject.toml index da5272a..1edb983 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "llm-chat" -version = "1.0.0" +version = "1.1.0" description = "A general CLI interface for large language models." authors = ["Paul Harrison "] readme = "README.md" @@ -8,7 +8,7 @@ packages = [{include = "llm_chat", from = "src"}] [tool.poetry.dependencies] python = ">=3.11,<3.12" -openai = "^0.27.8" +openai = "^1.7" pydantic = "^2.1.1" pydantic-settings = "^2.0.2" typer = {extras = ["all"], version = "^0.9.0"} @@ -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" @@ -67,4 +68,4 @@ select = ["E", "F"] target-version = "py311" [tool.ruff.mccabe] -max-complexity = 10 \ No newline at end of file +max-complexity = 10 diff --git a/src/llm_chat/chat.py b/src/llm_chat/chat.py index 60c7c18..a9ad5eb 100644 --- a/src/llm_chat/chat.py +++ b/src/llm_chat/chat.py @@ -4,8 +4,9 @@ from pathlib import Path from typing import Any, Protocol, Type from zoneinfo import ZoneInfo -from openai import ChatCompletion -from openai.openai_object import OpenAIObject +from openai import OpenAI +from openai.types.chat import ChatCompletion +from openai.types.completion_usage import CompletionUsage from llm_chat.models import Conversation, Message, Role from llm_chat.settings import Model, OpenAISettings @@ -66,7 +67,7 @@ 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.""" @@ -107,6 +108,9 @@ class Chat: name=name, ) self._start_time = datetime.now(tz=ZoneInfo("UTC")) + self._client = OpenAI( + api_key=self.settings.api_key, + ) @classmethod def load( @@ -148,7 +152,7 @@ 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. @@ -156,20 +160,19 @@ 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 out + return response - 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.prompt_tokens += usage["prompt_tokens"] + self.conversation.completion_tokens += usage.completion_tokens + self.conversation.prompt_tokens += usage.prompt_tokens self.conversation.cost = round( (self.conversation.completion_tokens / 1000) * self._pricing[self.settings.model][Token.COMPLETION] @@ -192,12 +195,14 @@ 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( diff --git a/tests/test_chat.py b/tests/test_chat.py index 3ba5603..2424134 100644 --- a/tests/test_chat.py +++ b/tests/test_chat.py @@ -4,6 +4,9 @@ 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.chat import Chat, save_conversation from llm_chat.models import Conversation, Message, Role @@ -89,10 +92,24 @@ 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 = { - "choices": [{"message": {"content": "Hello!"}}], - "usage": {"completion_tokens": 1, "prompt_tokens": 1}, - } + mock_make_request.return_value = ChatCompletion( + choices=[ + 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) @@ -102,10 +119,24 @@ def test_send_message() -> None: @pytest.mark.parametrize("model,cost", [(Model.GPT3, 0.000043), (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 = { - "choices": [{"message": {"content": "Hello!"}}], - "usage": {"completion_tokens": 10, "prompt_tokens": 15}, - } + mock_make_request.return_value = ChatCompletion( + choices=[ + 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")