From 960be13d7d4dbeba1eeded5f485d1a4929f5da9b Mon Sep 17 00:00:00 2001 From: CRI USER Date: Wed, 7 May 2025 10:52:16 +0200 Subject: [PATCH 1/7] feat(chat): use litellm to abstract from llm --- src/app/api/api_v1/endpoints/chat.py | 32 +++++++++++++++++ src/app/services/llm_proxy.py | 52 ++++++++++++++++++++++++++++ 2 files changed, 84 insertions(+) create mode 100644 src/app/services/llm_proxy.py diff --git a/src/app/api/api_v1/endpoints/chat.py b/src/app/api/api_v1/endpoints/chat.py index efdd2a1..1251557 100644 --- a/src/app/api/api_v1/endpoints/chat.py +++ b/src/app/api/api_v1/endpoints/chat.py @@ -1,4 +1,5 @@ from typing import Optional, cast +from pydantic import BaseModel import backoff from fastapi import APIRouter, Depends, HTTPException, status @@ -15,6 +16,7 @@ LanguageNotSupportedError, bad_request, ) +from src.app.services.llm_proxy import LLMProxy from src.app.utils.logger import logger as utils_logger logger = utils_logger(__name__) @@ -42,6 +44,36 @@ def get_params(body: models.Context) -> models.ContextOut: ) +class Response(BaseModel): + greeting: str + + +@router.post("/test_litellm") +async def test_litellm(): + try: + response = await LLMProxy( + model="azure/gpt-4o", + api_key=settings.AZURE_GPT_4O_API_KEY, + api_base=settings.AZURE_GPT_4O_API_BASE, + api_version=settings.AZURE_GPT_4O_API_VERSION, + ).schema_completion( + messages=[ + {"role": "system", "content": "you should say hello in portuguese"} + ], + response_format=Response, + ) + return response + except Exception as e: + logger.error("Error while testing litellm: %s", e) + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail={ + "message": "Something went wrong while testing litellm", + "code": "LITELLM_TEST_ERROR", + }, + ) + + @router.post( "/reformulate/query", summary="Reformulate User Query", diff --git a/src/app/services/llm_proxy.py b/src/app/services/llm_proxy.py new file mode 100644 index 0000000..ac9c68f --- /dev/null +++ b/src/app/services/llm_proxy.py @@ -0,0 +1,52 @@ +import json +from abc import ABC +from typing import Type, Optional, Union +from pydantic import BaseModel + +import litellm +from litellm import acompletion, supports_response_schema +from litellm.types.utils import ModelResponse +from src.app.utils.logger import logger as utils_logger + +logger = utils_logger(__name__) + +litellm.enable_json_schema_validation = True +litellm._turn_on_debug() + + +class LLMProxy(ABC): + def __init__( + self, + model: str, + api_key: str | None = None, + api_base: str | None = None, + api_version: str | None = None, + ): + self.model = model + self.api_key = api_key + self.api_base = api_base + self.api_version = api_version + + async def schema_completion( + self, + messages: list, + response_format: Optional[Union[dict, Type[BaseModel]]] = None, + ) : + + try: + assert supports_response_schema(model=self.model) + except AssertionError: + response_format = None + finally: + response = await acompletion( + model=self.model, + api_key=self.api_key, + api_base=self.api_base, + api_version=self.api_version, + messages=messages, + response_format=response_format, + ) + + assert isinstance(response, ModelResponse) + + return json.loads(response["choices"][0]["message"]["content"]) From 4e6aca128c812e6a1bf3bc1818c16284ce099753 Mon Sep 17 00:00:00 2001 From: CRI USER Date: Wed, 7 May 2025 16:22:04 +0200 Subject: [PATCH 2/7] replaces homemade methods by litellm completion --- src/app/api/api_v1/endpoints/chat.py | 11 +- src/app/api/api_v1/endpoints/tutor.py | 19 +- src/app/services/abst_chat.py | 426 +++----------------------- src/app/services/llm_proxy.py | 61 ++-- 4 files changed, 111 insertions(+), 406 deletions(-) diff --git a/src/app/api/api_v1/endpoints/chat.py b/src/app/api/api_v1/endpoints/chat.py index 1251557..1cc02eb 100644 --- a/src/app/api/api_v1/endpoints/chat.py +++ b/src/app/api/api_v1/endpoints/chat.py @@ -8,7 +8,7 @@ from src.app.api.dependencies import get_settings from src.app.models import chat as models -from src.app.services.abst_chat import AbstractChat, ChatFactory +from src.app.services.abst_chat import AbstractChat from src.app.services.constants import subjects as subjectsDict from src.app.services.exceptions import ( EmptyQueryError, @@ -25,7 +25,12 @@ settings = get_settings() -chatfactory: AbstractChat = ChatFactory().create_chat("openai") +chatfactory = AbstractChat( + model="azure/gpt-4o-mini", + API_KEY=settings.AZURE_API_KEY, + API_BASE=settings.AZURE_API_BASE, + API_VERSION=settings.AZURE_API_VERSION, +) chatfactory.init_client() @@ -56,7 +61,7 @@ async def test_litellm(): api_key=settings.AZURE_GPT_4O_API_KEY, api_base=settings.AZURE_GPT_4O_API_BASE, api_version=settings.AZURE_GPT_4O_API_VERSION, - ).schema_completion( + ).completion( messages=[ {"role": "system", "content": "you should say hello in portuguese"} ], diff --git a/src/app/api/api_v1/endpoints/tutor.py b/src/app/api/api_v1/endpoints/tutor.py index a90d1ee..44e7f84 100644 --- a/src/app/api/api_v1/endpoints/tutor.py +++ b/src/app/api/api_v1/endpoints/tutor.py @@ -4,7 +4,7 @@ from src.app.api.dependencies import get_settings from src.app.models.search import EnhancedSearchQuery -from src.app.services.abst_chat import AbstractChat, ChatFactory +from src.app.services.abst_chat import AbstractChat from src.app.services.exceptions import NoResultsError from src.app.services.search import SearchService from src.app.services.search_helpers import search_multi_inputs @@ -23,7 +23,13 @@ settings = get_settings() -chatfactory: AbstractChat = ChatFactory().create_chat("openai", model="gpt-4o") + +chatfactory = AbstractChat( + model="azure/gpt-4o", + API_KEY=settings.AZURE_GPT_4O_API_KEY, + API_BASE=settings.AZURE_GPT_4O_API_BASE, + API_VERSION=settings.AZURE_GPT_4O_API_VERSION, +) chatfactory.init_client() sp = SearchService() @@ -69,9 +75,14 @@ async def tutor_search( ] try: - themes_extracted = await chatfactory.chat_schema( - model="gpt-4o", messages=messages, response_format=ExtractorOuputList # type: ignore + themes_extracted = await chatfactory.chat_client.completion( + messages=messages, response_format=ExtractorOuputList ) + + assert isinstance(themes_extracted, dict) + + themes_extracted = ExtractorOuputList(**themes_extracted) + except Exception as e: logger.error(f"Error in chat schema: {e}") # todo: handle error diff --git a/src/app/services/abst_chat.py b/src/app/services/abst_chat.py index f52f6ce..0be1120 100644 --- a/src/app/services/abst_chat.py +++ b/src/app/services/abst_chat.py @@ -33,6 +33,7 @@ from src.app.services import prompts from src.app.services.exceptions import LanguageNotSupportedError from src.app.services.helpers import detect_language_from_entry, stringify_docs_content +from src.app.services.llm_proxy import LLMProxy from src.app.utils.logger import log_environmental_impacts from src.app.utils.logger import logger as utils_logger @@ -74,59 +75,14 @@ def __init__( }, } - @abstractmethod def init_client(self): - """ - Initializes the chat client. - """ - pass - - @abstractmethod - async def chat( - self, type: RESPONSE_TYPE, model: str, messages: List[Dict[str, str]] - ): - """ - Sends a chat message and returns the response. - - Args: - type (RESPONSE_TYPE): The response type. - model (str): The model to be used for the chat service. - messages (list): A list of messages to be sent. - - Returns: - The response from the chat service. - """ - pass - - @abstractmethod - async def chat_schema( - self, model: str, messages: List[Dict[str, str]], response_format: BaseModel - ): - """ - Sends a chat message and returns the response. - - Args: - type (RESPONSE_TYPE): The response type. - model (str): The model to be used for the chat service. - messages (list): A list of messages to be sent. - - Returns: - The response from the chat service. - """ - pass - - @abstractmethod - async def streamed_chat(self, messages: List[Dict[str, str]]): - """ - Sends a chat message and returns the streamed response. - - Args: - messages (list): A list of messages to be sent. + self.chat_client = LLMProxy( + model=self.model, + api_key=self.API_KEY, + api_base=self.API_BASE, + api_version=self.API_VERSION, + ) - Returns: - The streamed response from the chat service. - """ - pass async def _detect_language(self, query: str) -> Dict[str, str]: """ @@ -150,7 +106,7 @@ async def _detect_language(self, query: str) -> Dict[str, str]: async def flex_chat(self, messages): completion = await self.chat(model=self.model, type="text", messages=messages) - return self.get_message_content(completion) + return completion async def _detect_lang_with_llm(self, query: str) -> Dict[str, str]: """ @@ -162,30 +118,30 @@ async def _detect_lang_with_llm(self, query: str) -> Dict[str, str]: Returns: dict: The detected language. """ - detected_lang = await self.chat( - type="text", - model=self.model, + detected_lang = await self.chat_client.completion( messages=[ { "role": "user", "content": prompts.CHECK_LANGUAGE_PROMPT.format(query=query), } ], + response_format={ + "type": "json_object", + } ) - res = self.get_message_content(message=detected_lang).strip() try: - detected = json.loads(res) + assert isinstance(detected_lang, dict) - if detected["ISO_CODE"] not in ["en", "fr"]: + if detected_lang["ISO_CODE"] not in ["en", "fr"]: raise LanguageNotSupportedError() - return detected + return detected_lang except json.JSONDecodeError: - logger.error("api_error=invalid_json, response=%s", res) + logger.error("api_error=invalid_json, response=%s", detected_lang) raise ValueError("Invalid response from model") - async def _detect_past_message_ref(self, query: str, history: List[Dict[str, str]]): + async def _detect_past_message_ref(self, query: str, history: List[Dict[str, str]]) -> dict | None: """ Detects reference to past messages. @@ -196,9 +152,7 @@ async def _detect_past_message_ref(self, query: str, history: List[Dict[str, str Returns: The detected reference to past messages. """ - completion = await self.chat( - type="text", - model=self.model, + completion = await self.chat_client.completion( messages=[ self.system_prompts["past_message"], *history[:-2], @@ -207,18 +161,24 @@ async def _detect_past_message_ref(self, query: str, history: List[Dict[str, str "content": prompts.PAST_MESSAGE_REF.format(query=query), }, ], + response_format={ + "type": "json_object", + } ) - completion_content = self.get_message_content(message=completion).strip() try: - jsn = json.loads(completion_content) + assert isinstance(completion, dict) + jsn = completion if "REF_TO_PAST" not in jsn or jsn["REF_TO_PAST"] not in [True, False]: raise ValueError("Invalid response from model") return jsn except json.JSONDecodeError: - logger.error("api_error=invalid_json, response=%s", completion_content) + + logger.error("api_error=invalid_json, response=%s", completion) + except AssertionError: + logger.error("api_error=assertion_error, response=%s", completion) raise ValueError("Invalid response from model") def get_message_content(self, message) -> str: @@ -272,8 +232,8 @@ async def reformulate_user_query(self, query: str, history: List[Dict[str, str]] """ # lang = await self._detect_language(query) - ref_to_past = await self._detect_past_message_ref(query, history) - if ref_to_past["REF_TO_PAST"]: + ref_to_past: dict | None = await self._detect_past_message_ref(query, history) + if ref_to_past and ref_to_past["REF_TO_PAST"]: return ReformulatedQueryResponse( STANDALONE_QUESTION_EN=None, STANDALONE_QUESTION_FR=None, @@ -295,13 +255,16 @@ async def reformulate_user_query(self, query: str, history: List[Dict[str, str]] }, ] - reformulated_query = await self.chat_schema( + reformulated_query = await self.chat_client.completion( messages=messages, - model=self.model, response_format=ReformulatedQueryResponse, ) - if not isinstance(reformulated_query, ReformulatedQueryResponse): + assert isinstance(reformulated_query, dict) + + ref_query = ReformulatedQueryResponse(**reformulated_query) + + if not isinstance(ref_query, ReformulatedQueryResponse): raise ValueError( { "message": "Invalid response from model", @@ -309,7 +272,7 @@ async def reformulate_user_query(self, query: str, history: List[Dict[str, str]] } ) - return reformulated_query + return ref_query async def get_new_questions( self, query: str, history: List[Dict[str, str]] @@ -326,9 +289,7 @@ async def get_new_questions( """ await self._detect_language(query) - res = await self.chat( - type="text", - model=self.model, + res = await self.chat_client.completion( messages=[ *history[::-2][:2], { @@ -338,10 +299,10 @@ async def get_new_questions( ], ) - res_content = self.get_message_content(res) + assert isinstance(res, str) res_list: List[str] = [ - res.strip() for res in res_content.split("%%") if len(res.strip()) > 0 + r.strip() for r in res.split("%%") if len(r.strip()) > 0 ] return {"NEW_QUESTIONS": res_list} @@ -350,7 +311,7 @@ async def rephrase_message( docs: List[Document], message: str, history: List[Dict[str, str]], - subject: str, + subject: str | None = None, streamed_ans: bool = False, ): """ @@ -382,22 +343,20 @@ async def rephrase_message( ] if streamed_ans: - res = await self.streamed_chat(messages) + res = self.chat_client.completion_stream(messages) return self.get_stream_chunks(res) - res = await self.chat( - type="text", - model=self.model, + res = await self.chat_client.completion( messages=messages, ) - return self.get_message_content(res) + return res async def chat_message( self, query: str, history: List[Dict[str, str]], docs: List[Document], - subject: str, + subject: str | None = None, streamed_ans: bool = False, should_check_lang: bool = True, ): @@ -435,304 +394,11 @@ async def chat_message( }, ] if streamed_ans: - res = await self.streamed_chat(messages) + res = self.chat_client.completion_stream(messages) return self.get_stream_chunks(res) - res = await self.chat( - type="text", - model=self.model, + res = await self.chat_client.completion( messages=messages, ) return self.get_message_content(res) - -class Open_Chat(AbstractChat): - """ - A concrete implementation of AbstractChat for OpenAI. - """ - - def init_client(self): - if not self.API_BASE or not self.API_VERSION: - raise ValueError("API_BASE or API_VERSION not provided") - - try: - self.chat_client = AsyncAzureOpenAI( - api_key=self.API_KEY, - azure_endpoint=self.API_BASE, - api_version=self.API_VERSION, - ) - except Exception as e: - logger.error("ai_generator=openai error=%s", e) - - async def streamed_chat(self, messages: List[Dict[str, str]]): - res = await self.chat_client.chat.completions.create( - model=self.model, - messages=messages, - stream=True, - temperature=0.2, - max_tokens=1000, - ) - - return res - - async def chat_json(self, messages: List[Dict[str, str]]): - completion = await self.chat( - model=self.model, - type="json_object", - messages=messages, - ) - res = self.get_message_content(message=completion) - - return json.loads(res) - - async def chat( - self, type: RESPONSE_TYPE, model: str, messages: List[Dict[str, str]] - ): - try: - completion = await self.chat_client.chat.completions.create( - model=model, - response_format={"type": type}, - messages=messages, - stream=False, - temperature=0.2, - ) - - return completion - except Exception as e: - logger.error("ai_generator=openai error=%s", e) - raise e - - async def chat_schema( - self, model: str, messages: List[Dict[str, str]], response_format - ): - try: - completion = await self.chat_client.beta.chat.completions.parse( - model=self.model or model, - messages=messages, - temperature=0.2, - response_format=response_format, - ) - - return completion.choices[0].message.parsed - except Exception as e: - logger.error("ai_generator=openai error=%s", e) - raise e - - async def _detect_lang_with_llm(self, query: str) -> Dict[str, str]: - try: - detected_lang = await self.chat_json( - messages=[ - { - "role": "user", - "content": prompts.CHECK_LANGUAGE_PROMPT.format(query=query), - } - ], - ) - return detected_lang - - except Exception as e: - raise e - - async def _detect_past_message_ref(self, query: str, history: List[Dict[str, str]]): - try: - completion = await self.chat_json( - messages=[ - self.system_prompts["past_message"], - *history[:-2], - { - "role": "user", - "content": prompts.PAST_MESSAGE_REF.format(query=query), - }, - ], - ) - - return completion - except Exception as e: - raise e - - -class Mistral_Chat(AbstractChat): - """ - A concrete implementation of AbstractChat for Mistral. - """ - - def init_client(self): - logger.debug("ai_generator=mistral") - self.chat_client = Mistral(api_key=self.API_KEY) - - async def streamed_chat(self, messages: List[Dict[str, str]]): - resp = self.chat_client.chat.stream_async(model=self.model, messages=messages) - - return resp.data - - async def chat( - self, type: RESPONSE_TYPE, model: str, messages: List[Dict[str, str]] - ): - try: - completion = await self.chat_client.chat.complete_async( - model=model, - response_format={"type": type}, - messages=messages, - stream=False, - temperature=0.2, - ) - - return completion - except Exception as e: - logger.error("ai_generator=openai error=%s", e) - raise e - - async def chat_schema( - self, model: str, messages: List[Dict[str, str]], response_format - ): - try: - completion = await self.chat_client.chat.complete( - model=self.model or model, - messages=messages, - temperature=0.2, - response_format=response_format, - ) - - return completion.choices[0].message - except Exception as e: - logger.error("ai_generator=mistral error=%s", e) - raise e - - -class Azure_Chat(AbstractChat): - """ - A concrete implementation of AbstractChat for Azure. - """ - - def init_client(self): - logger.debug("ai_generator=azure") - if not self.API_BASE: - raise ValueError("API_BASE not provided") - - try: - self.chat_client = ChatCompletionsClient( - credential=AzureKeyCredential(self.API_KEY), - endpoint=self.API_BASE, - ) - except Exception as e: - logger.error("ai_generator=azure error=%s", e) - raise e - - async def streamed_chat(self, messages: List[Dict[str, str]]): - resp = self.chat_client.complete( - messages=messages, - temperature=0.2, - top_p=1, - max_tokens=800, - stream=True, - ) - return resp - - async def chat( - self, type: RESPONSE_TYPE, model: str, messages: List[Dict[str, str]] - ): - logger.info("chat_azure, model=%s type=%s", model, type) - resp = self.chat_client.complete( - messages=messages, - temperature=0.2, - top_p=1, - max_tokens=800, - stream=False, - ) - return resp - - -class ChatFactory: - """ - A factory class to create instances of chat services. - """ - - def __init__(self): - pass - - def create_chat( - self, chat_type: Literal["openai", "mistral", "azure"], model: str | None = None - ): - """ - Creates an instance of a chat service based on the specified type and model. - - Args: - chat_type (Literal["openai", "mistral", "azure"]): The type of chat service. - model (str | None): The model to be used for the chat service. - - Returns: - An instance of the specified chat service. - """ - settings = get_settings() - - chat_classes = { - "openai": Open_Chat, - "mistral": Mistral_Chat, - "azure": Azure_Chat, - } - - if chat_type not in chat_classes: - raise ValueError(f"Unsupported chat type: {chat_type}") - - if chat_type == "openai": - openai_models = { - "gpt-4o-mini": ( - settings.AZURE_API_KEY, - settings.AZURE_API_BASE, - settings.AZURE_API_VERSION, - ), - "gpt-4o": ( - settings.AZURE_GPT_4O_API_KEY, - settings.AZURE_GPT_4O_API_BASE, - settings.AZURE_GPT_4O_API_VERSION, - ), - } - if model: - key, base, version = openai_models.get(model, (None, None, None)) - if not key or not base or not version: - raise ValueError(f"Unsupported model: {model}") - return chat_classes[chat_type]( - API_KEY=key, API_BASE=base, API_VERSION=version, model=model - ) - - return chat_classes[chat_type]( - API_VERSION=settings.AZURE_API_VERSION, - API_KEY=settings.AZURE_API_KEY, - API_BASE=settings.AZURE_API_BASE, - model="gpt-4o-mini", - ) - elif chat_type == "mistral": - if model: - return chat_classes[chat_type]( - API_KEY=settings.MISTRAL_API_KEY, - model=model, - ) - return chat_classes[chat_type]( - API_KEY=settings.MISTRAL_API_KEY, - model="mistral-small-latest", - ) - elif chat_type == "azure": - azure_models = { - "Meta-Llama-3.1-8B-Instruct": ( - settings.AZURE_LLAMA_31_8B_API_KEY, - settings.AZURE_LLAMA_31_8B_API_BASE, - ), - "Meta-Llama-3.1-70B-Instruct": ( - settings.AZURE_LLAMA_31_70B_API_KEY, - settings.AZURE_LLAMA_31_70B_API_BASE, - ), - "Meta-Llama-3.1-405B-Instruct": ( - settings.AZURE_LLAMA_31_405B_API_KEY, - settings.AZURE_LLAMA_31_405B_API_BASE, - ), - } - - if model not in azure_models: - raise ValueError(f"Unsupported model: {model}") - - API_KEY, API_BASE = azure_models[model] - return chat_classes[chat_type]( - API_KEY=API_KEY, - API_BASE=API_BASE, - model=model, - ) diff --git a/src/app/services/llm_proxy.py b/src/app/services/llm_proxy.py index ac9c68f..a897d4e 100644 --- a/src/app/services/llm_proxy.py +++ b/src/app/services/llm_proxy.py @@ -1,18 +1,17 @@ import json + from abc import ABC from typing import Type, Optional, Union from pydantic import BaseModel import litellm -from litellm import acompletion, supports_response_schema +from litellm import acompletion, completion +from litellm.utils import supports_response_schema from litellm.types.utils import ModelResponse from src.app.utils.logger import logger as utils_logger logger = utils_logger(__name__) -litellm.enable_json_schema_validation = True -litellm._turn_on_debug() - class LLMProxy(ABC): def __init__( @@ -21,32 +20,56 @@ def __init__( api_key: str | None = None, api_base: str | None = None, api_version: str | None = None, + debug: bool = False, ): self.model = model self.api_key = api_key self.api_base = api_base self.api_version = api_version + + litellm.enable_json_schema_validation = True + if debug: + litellm._turn_on_debug() # to be removed before merge - async def schema_completion( + async def completion( self, messages: list, response_format: Optional[Union[dict, Type[BaseModel]]] = None, - ) : + ) -> dict | str: + + response = await acompletion( + model=self.model, + api_key=self.api_key, + api_base=self.api_base, + api_version=self.api_version, + messages=messages, + response_format=response_format, + ) + + assert isinstance(response, ModelResponse) + + response = response["choices"][0]["message"]["content"] try: - assert supports_response_schema(model=self.model) - except AssertionError: - response_format = None - finally: - response = await acompletion( - model=self.model, - api_key=self.api_key, - api_base=self.api_base, - api_version=self.api_version, - messages=messages, - response_format=response_format, + return json.loads(response) + except json.JSONDecodeError: + logger.warning( + "Response content is not valid JSON. Returning raw content instead." ) + return response - assert isinstance(response, ModelResponse) + def completion_stream( + self, + messages: list, + ): + + response = completion( + model=self.model, + api_key=self.api_key, + api_base=self.api_base, + api_version=self.api_version, + messages=messages, + stream=True, + ) - return json.loads(response["choices"][0]["message"]["content"]) + return response From 19cffb40eba567e715e0f60fe29ecee81e45711b Mon Sep 17 00:00:00 2001 From: CRI USER Date: Wed, 7 May 2025 16:55:26 +0200 Subject: [PATCH 3/7] test remove openai from pyproject.toml --- poetry.lock | 1141 +++++++++++++++++++-------------- pyproject.toml | 2 +- src/app/services/abst_chat.py | 29 +- src/app/services/llm_proxy.py | 3 +- 4 files changed, 692 insertions(+), 483 deletions(-) diff --git a/poetry.lock b/poetry.lock index 0f955c2..90f48c9 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. [[package]] name = "aiohappyeyeballs" @@ -6,6 +6,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -17,6 +18,7 @@ version = "3.11.18" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ {file = "aiohttp-3.11.18-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:96264854fedbea933a9ca4b7e0c745728f01380691687b7365d18d9e977179c4"}, {file = "aiohttp-3.11.18-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9602044ff047043430452bc3a2089743fa85da829e6fc9ee0025351d66c332b6"}, @@ -112,7 +114,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"] +speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -120,6 +122,7 @@ version = "1.3.2" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"}, {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"}, @@ -134,6 +137,7 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" +groups = ["main", "metrics"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -145,6 +149,7 @@ version = "4.9.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"}, {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"}, @@ -158,7 +163,7 @@ typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"] -test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"] +test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""] trio = ["trio (>=0.26.1)"] [[package]] @@ -167,6 +172,7 @@ version = "1.4.4" description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." optional = false python-versions = "*" +groups = ["metrics"] files = [ {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"}, {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"}, @@ -178,6 +184,7 @@ version = "2.15.8" description = "An abstract syntax tree for Python with inference support." optional = false python-versions = ">=3.7.2" +groups = ["main"] files = [ {file = "astroid-2.15.8-py3-none-any.whl", hash = "sha256:1aa149fc5c6589e3d0ece885b4491acd80af4f087baafa3fb5203b113e68cd3c"}, {file = "astroid-2.15.8.tar.gz", hash = "sha256:6c107453dffee9055899705de3c9ead36e74119cee151e5a9aaf7f0b0e020a6a"}, @@ -197,6 +204,8 @@ version = "4.0.3" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.7" +groups = ["main", "metrics"] +markers = "python_version < \"3.11\"" files = [ {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"}, {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"}, @@ -208,18 +217,19 @@ version = "25.3.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.8" 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"pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"] -tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] +tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""] [[package]] name = "autogen-agentchat" @@ -227,6 +237,7 @@ version = "0.4.9.3" description = "AutoGen agents and teams library" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "autogen_agentchat-0.4.9.3-py3-none-any.whl", hash 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"sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, @@ -3807,6 +3961,7 @@ version = "310" description = "Python for Window Extensions" optional = false python-versions = "*" +groups = ["main", "metrics"] files = [ {file = "pywin32-310-cp310-cp310-win32.whl", hash = "sha256:6dd97011efc8bf51d6793a82292419eba2c71cf8e7250cfac03bba284454abc1"}, {file = "pywin32-310-cp310-cp310-win_amd64.whl", hash = "sha256:c3e78706e4229b915a0821941a84e7ef420bf2b77e08c9dae3c76fd03fd2ae3d"}, @@ -3825,6 +3980,7 @@ files = [ {file = "pywin32-310-cp39-cp39-win32.whl", hash = "sha256:851c8d927af0d879221e616ae1f66145253537bbdd321a77e8ef701b443a9a1a"}, {file = "pywin32-310-cp39-cp39-win_amd64.whl", hash = "sha256:96867217335559ac619f00ad70e513c0fcf84b8a3af9fc2bba3b59b97da70475"}, ] +markers = {main = "platform_system == \"Windows\"", metrics = "sys_platform == \"win32\""} [[package]] name = "pyyaml" @@ -3832,6 +3988,7 @@ version = "6.0.2" description = "YAML parser and emitter for Python" optional = false python-versions = ">=3.8" +groups = ["main", "metrics"] files = [ {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"}, {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"}, @@ -3894,6 +4051,7 @@ version = "26.4.0" description = "Python bindings for 0MQ" optional = false python-versions = ">=3.8" +groups = ["metrics"] files = [ {file = "pyzmq-26.4.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:0329bdf83e170ac133f44a233fc651f6ed66ef8e66693b5af7d54f45d1ef5918"}, {file = "pyzmq-26.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:398a825d2dea96227cf6460ce0a174cf7657d6f6827807d4d1ae9d0f9ae64315"}, @@ -3999,6 +4157,7 @@ version = "1.14.2" description = "Client library for the Qdrant vector search engine" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "qdrant_client-1.14.2-py3-none-any.whl", hash = "sha256:7c283b1f0e71db9c21b85d898fb395791caca2a6d56ee751da96d797b001410c"}, {file = "qdrant_client-1.14.2.tar.gz", hash = "sha256:da5cab4d367d099d1330b6f30d45aefc8bd76f8b8f9d8fa5d4f813501b93af0d"}, @@ -4026,6 +4185,7 @@ version = "0.2.15" description = "" optional = false python-versions = ">=3.9" +groups = ["metrics"] files = [ {file = "ragas-0.2.15-py3-none-any.whl", hash = "sha256:298cd3d1fe3bd21ca4d31023a55079740d7bdd27a8c915bb371cec3c50cde608"}, {file = "ragas-0.2.15.tar.gz", hash = "sha256:2d0cd77b315a9c9c02ceb0a19ca8a48e82e1d02416587a2944ea51e6e327cd7b"}, @@ -4057,6 +4217,7 @@ version = "0.36.2" description = "JSON Referencing + Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "referencing-0.36.2-py3-none-any.whl", hash = "sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0"}, {file = "referencing-0.36.2.tar.gz", hash = "sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa"}, @@ -4073,6 +4234,7 @@ version = "2024.11.6" description = "Alternative regular expression module, to replace re." optional = false python-versions = ">=3.8" +groups = ["main", "metrics"] files = [ {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"}, {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"}, @@ -4176,6 +4338,7 @@ version = "2.32.3" description = "Python HTTP for Humans." optional = false python-versions = ">=3.8" +groups = ["main", "metrics"] files = [ {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"}, {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"}, @@ -4197,6 +4360,7 @@ version = "1.0.0" description = "A utility belt for advanced users of python-requests" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +groups = ["metrics"] files = [ {file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"}, {file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"}, @@ -4211,6 +4375,7 @@ version = "0.24.0" description = "Python bindings to Rust's persistent data structures (rpds)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "rpds_py-0.24.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:006f4342fe729a368c6df36578d7a348c7c716be1da0a1a0f86e3021f8e98724"}, {file = "rpds_py-0.24.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2d53747da70a4e4b17f559569d5f9506420966083a31c5fbd84e764461c4444b"}, @@ -4334,6 +4499,7 @@ version = "0.5.3" description = "" optional = false python-versions = ">=3.7" +groups = ["main", "metrics"] files = [ {file = "safetensors-0.5.3-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:bd20eb133db8ed15b40110b7c00c6df51655a2998132193de2f75f72d99c7073"}, {file = "safetensors-0.5.3-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:21d01c14ff6c415c485616b8b0bf961c46b3b343ca59110d38d744e577f9cce7"}, @@ -4371,6 +4537,7 @@ version = "1.6.1" description = "A set of python modules for machine learning and data mining" optional = false python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ {file = "scikit_learn-1.6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d056391530ccd1e501056160e3c9673b4da4805eb67eb2bdf4e983e1f9c9204e"}, {file = "scikit_learn-1.6.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:0c8d036eb937dbb568c6242fa598d551d88fb4399c0344d95c001980ec1c7d36"}, @@ -4425,6 +4592,7 @@ version = "1.15.2" description = "Fundamental algorithms for scientific computing in Python" optional = false python-versions = ">=3.10" +groups = ["main", "metrics"] files = [ {file = "scipy-1.15.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a2ec871edaa863e8213ea5df811cd600734f6400b4af272e1c011e69401218e9"}, {file = "scipy-1.15.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:6f223753c6ea76983af380787611ae1291e3ceb23917393079dcc746ba60cfb5"}, @@ -4480,7 +4648,7 @@ numpy = ">=1.23.5,<2.5" [package.extras] dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"] doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.16.5)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"] -test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] +test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] [[package]] name = "sentence-transformers" @@ -4488,6 +4656,7 @@ version = "3.4.1" description = "State-of-the-Art Text Embeddings" optional = false python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ {file = "sentence_transformers-3.4.1-py3-none-any.whl", hash = "sha256:e026dc6d56801fd83f74ad29a30263f401b4b522165c19386d8bc10dcca805da"}, {file = "sentence_transformers-3.4.1.tar.gz", hash = "sha256:68daa57504ff548340e54ff117bd86c1d2f784b21e0fb2689cf3272b8937b24b"}, @@ -4511,23 +4680,24 @@ train = ["accelerate (>=0.20.3)", "datasets"] [[package]] name = "setuptools" -version = "79.0.1" +version = "80.3.1" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.9" +groups = ["metrics"] files = [ - {file = "setuptools-79.0.1-py3-none-any.whl", hash = "sha256:e147c0549f27767ba362f9da434eab9c5dc0045d5304feb602a0af001089fc51"}, - {file = "setuptools-79.0.1.tar.gz", hash = "sha256:128ce7b8f33c3079fd1b067ecbb4051a66e8526e7b65f6cec075dfc650ddfa88"}, + {file = "setuptools-80.3.1-py3-none-any.whl", hash = "sha256:ea8e00d7992054c4c592aeb892f6ad51fe1b4d90cc6947cc45c45717c40ec537"}, + {file = "setuptools-80.3.1.tar.gz", hash = "sha256:31e2c58dbb67c99c289f51c16d899afedae292b978f8051efaf6262d8212f927"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"] -core = ["importlib_metadata (>=6)", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"] +check = ["pytest-checkdocs (>=2.4)", 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"pytest-mypy"] [[package]] name = "simple-websocket" @@ -4535,6 +4705,7 @@ version = "1.1.0" description = "Simple WebSocket server and client for Python" optional = false python-versions = ">=3.6" +groups = ["metrics"] files = [ {file = "simple_websocket-1.1.0-py3-none-any.whl", hash = "sha256:4af6069630a38ed6c561010f0e11a5bc0d4ca569b36306eb257cd9a192497c8c"}, {file = "simple_websocket-1.1.0.tar.gz", hash = "sha256:7939234e7aa067c534abdab3a9ed933ec9ce4691b0713c78acb195560aa52ae4"}, @@ -4553,6 +4724,7 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main", "metrics"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -4564,6 +4736,7 @@ version = "1.3.1" description = "Sniff out which async library your code is running under" optional = false python-versions = ">=3.7" +groups = ["main", "metrics"] files = [ {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"}, {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, @@ -4575,6 +4748,7 @@ version = "2.0.40" description = "Database Abstraction Library" optional = false python-versions = ">=3.7" +groups = ["main", "metrics"] files = [ {file = "SQLAlchemy-2.0.40-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:ae9597cab738e7cc823f04a704fb754a9249f0b6695a6aeb63b74055cd417a96"}, {file = "SQLAlchemy-2.0.40-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37a5c21ab099a83d669ebb251fddf8f5cee4d75ea40a5a1653d9c43d60e20867"}, @@ -4670,6 +4844,7 @@ version = "0.46.2" description = "The little ASGI library that shines." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "starlette-0.46.2-py3-none-any.whl", hash = "sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35"}, {file = "starlette-0.46.2.tar.gz", hash = "sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5"}, @@ -4683,13 +4858,14 @@ full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart [[package]] name = "sympy" -version = "1.13.3" +version = "1.14.0" description = "Computer algebra system (CAS) in Python" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ - {file = "sympy-1.13.3-py3-none-any.whl", hash = "sha256:54612cf55a62755ee71824ce692986f23c88ffa77207b30c1368eda4a7060f73"}, - {file = "sympy-1.13.3.tar.gz", hash = "sha256:b27fd2c6530e0ab39e275fc9b683895367e51d5da91baa8d3d64db2565fec4d9"}, + {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, + {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, ] [package.dependencies] @@ -4704,6 +4880,7 @@ version = "9.1.2" description = "Retry code until it succeeds" optional = false python-versions = ">=3.9" +groups = ["metrics"] files = [ {file = "tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138"}, {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"}, @@ -4719,6 +4896,7 @@ version = "3.6.0" description = "threadpoolctl" optional = false python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"}, {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"}, @@ -4730,6 +4908,7 @@ version = "0.9.0" description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models" optional = false python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ {file = "tiktoken-0.9.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:586c16358138b96ea804c034b8acf3f5d3f0258bd2bc3b0227af4af5d622e382"}, {file = "tiktoken-0.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d9c59ccc528c6c5dd51820b3474402f69d9a9e1d656226848ad68a8d5b2e5108"}, @@ -4777,6 +4956,7 @@ version = "0.21.1" description = "" optional = false python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ {file = "tokenizers-0.21.1-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:e78e413e9e668ad790a29456e677d9d3aa50a9ad311a40905d6861ba7692cf41"}, {file = "tokenizers-0.21.1-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:cd51cd0a91ecc801633829fcd1fda9cf8682ed3477c6243b9a095539de4aecf3"}, @@ -4809,6 +4989,8 @@ version = "2.2.1" description = "A lil' TOML parser" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "metrics"] +markers = "python_version < \"3.11\"" files = [ {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"}, {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"}, @@ -4850,6 +5032,7 @@ version = "0.13.2" description = "Style preserving TOML library" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"}, {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"}, @@ -4861,6 +5044,7 @@ version = "2.2.2+cpu" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" optional = false python-versions = ">=3.8.0" +groups = ["main", "metrics"] files = [ {file = "torch-2.2.2+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:02c4fac3c964e73f5f49003e0060c697f73b67c10cc23f51c592facb29e1bd53"}, {file = "torch-2.2.2+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:fc29dda2795dd7220d769c5926b1c50ddac9b4827897e30a10467063691cdf54"}, @@ -4897,6 +5081,7 @@ version = "0.17.2+cpu" description = "image and video datasets and models for torch deep learning" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "torchvision-0.17.2+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:34ba0274b6150b59b9d91c421c116a217982d5e6c6101b5109f400b994c43e3d"}, {file = "torchvision-0.17.2+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:acad6f9573b9d6b50a5a3942d0145cb0f9100608acb53a09bfc11ed5720dcfe3"}, @@ -4929,6 +5114,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main", "metrics"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -4950,6 +5136,7 @@ version = "4.50.3" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.9.0" +groups = ["main", "metrics"] files = [ {file = "transformers-4.50.3-py3-none-any.whl", hash = "sha256:6111610a43dec24ef32c3df0632c6b25b07d9711c01d9e1077bdd2ff6b14a38c"}, {file = "transformers-4.50.3.tar.gz", hash = "sha256:1d795d24925e615a8e63687d077e4f7348c2702eb87032286eaa76d83cdc684f"}, @@ -5021,10 +5208,12 @@ version = "4.13.2" description = "Backported and Experimental Type Hints for Python 3.8+" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "metrics"] files = [ {file = "typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c"}, {file = "typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef"}, ] +markers = {dev = "python_version < \"3.11\""} [[package]] name = "typing-inspect" @@ -5032,6 +5221,7 @@ version = "0.9.0" description = "Runtime inspection utilities for typing module." optional = false python-versions = "*" +groups = ["metrics"] files = [ {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"}, {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"}, @@ -5047,6 +5237,7 @@ version = "0.4.0" description = "Runtime typing introspection tools" optional = false python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ {file = "typing_inspection-0.4.0-py3-none-any.whl", hash = "sha256:50e72559fcd2a6367a19f7a7e610e6afcb9fac940c650290eed893d61386832f"}, {file = "typing_inspection-0.4.0.tar.gz", hash = "sha256:9765c87de36671694a67904bf2c96e395be9c6439bb6c87b5142569dcdd65122"}, @@ -5061,6 +5252,7 @@ version = "2025.2" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["metrics"] files = [ {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"}, {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"}, @@ -5072,13 +5264,14 @@ version = "2.4.0" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ {file = "urllib3-2.4.0-py3-none-any.whl", hash = "sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813"}, {file = "urllib3-2.4.0.tar.gz", hash = "sha256:414bc6535b787febd7567804cc015fee39daab8ad86268f1310a9250697de466"}, ] [package.extras] -brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] zstd = ["zstandard (>=0.18.0)"] @@ -5089,6 +5282,7 @@ version = "0.29.0" description = "The lightning-fast ASGI server." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "uvicorn-0.29.0-py3-none-any.whl", hash = "sha256:2c2aac7ff4f4365c206fd773a39bf4ebd1047c238f8b8268ad996829323473de"}, {file = "uvicorn-0.29.0.tar.gz", hash = "sha256:6a69214c0b6a087462412670b3ef21224fa48cae0e452b5883e8e8bdfdd11dd0"}, @@ -5102,12 +5296,12 @@ httptools = {version = ">=0.5.0", optional = true, markers = "extra == \"standar python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""} pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""} typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} -uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""} +uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" and extra == \"standard\""} watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""} websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""} [package.extras] -standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"] +standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"] [[package]] name = "uvloop" @@ -5115,6 +5309,8 @@ version = "0.21.0" description = "Fast implementation of asyncio event loop on top of libuv" optional = false python-versions = ">=3.8.0" +groups = ["main"] +markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"" files = [ {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"}, {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"}, @@ -5166,6 +5362,7 @@ version = "1.0.5" description = "Simple, modern and high performance file watching and code reload in python." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "watchfiles-1.0.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:5c40fe7dd9e5f81e0847b1ea64e1f5dd79dd61afbedb57759df06767ac719b40"}, {file = "watchfiles-1.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8c0db396e6003d99bb2d7232c957b5f0b5634bbd1b24e381a5afcc880f7373fb"}, @@ -5249,6 +5446,7 @@ version = "0.2.13" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = "*" +groups = ["metrics"] files = [ {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, @@ -5260,6 +5458,7 @@ version = "1.8.0" description = "WebSocket client for Python with low level API options" optional = false python-versions = ">=3.8" +groups = ["metrics"] files = [ {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"}, {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"}, @@ -5276,6 +5475,7 @@ version = "15.0.1" description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d63efaa0cd96cf0c5fe4d581521d9fa87744540d4bc999ae6e08595a1014b45b"}, {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ac60e3b188ec7574cb761b08d50fcedf9d77f1530352db4eef1707fe9dee7205"}, @@ -5354,6 +5554,7 @@ version = "3.1.3" description = "The comprehensive WSGI web application library." optional = false python-versions = ">=3.9" +groups = ["metrics"] files = [ {file = "werkzeug-3.1.3-py3-none-any.whl", hash = "sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e"}, {file = "werkzeug-3.1.3.tar.gz", hash = "sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746"}, @@ -5371,6 +5572,7 @@ version = "1.17.2" description = "Module for decorators, wrappers and monkey patching." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984"}, {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22"}, @@ -5459,6 +5661,7 @@ version = "1.2.0" description = "WebSockets state-machine based protocol implementation" optional = false python-versions = ">=3.7.0" +groups = ["metrics"] files = [ {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"}, {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"}, @@ -5473,6 +5676,7 @@ version = "3.5.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["metrics"] files = [ {file = "xxhash-3.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ece616532c499ee9afbb83078b1b952beffef121d989841f7f4b3dc5ac0fd212"}, {file = "xxhash-3.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3171f693dbc2cef6477054a665dc255d996646b4023fe56cb4db80e26f4cc520"}, @@ -5605,6 +5809,7 @@ version = "1.20.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main", "metrics"] files = [ {file = "yarl-1.20.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f1f6670b9ae3daedb325fa55fbe31c22c8228f6e0b513772c2e1c623caa6ab22"}, {file = "yarl-1.20.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:85a231fa250dfa3308f3c7896cc007a47bc76e9e8e8595c20b7426cac4884c62"}, @@ -5723,17 +5928,18 @@ version = "3.21.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"}, {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] -test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] type = ["pytest-mypy"] [[package]] @@ -5742,6 +5948,7 @@ version = "5.0" description = "Very basic event publishing system" optional = false python-versions = ">=3.7" +groups = ["metrics"] files = [ {file = "zope.event-5.0-py3-none-any.whl", hash = "sha256:2832e95014f4db26c47a13fdaef84cef2f4df37e66b59d8f1f4a8f319a632c26"}, {file = "zope.event-5.0.tar.gz", hash = "sha256:bac440d8d9891b4068e2b5a2c5e2c9765a9df762944bda6955f96bb9b91e67cd"}, @@ -5760,6 +5967,7 @@ version = "7.2" description = "Interfaces for Python" optional = false python-versions = ">=3.8" +groups = ["metrics"] files = [ {file = "zope.interface-7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ce290e62229964715f1011c3dbeab7a4a1e4971fd6f31324c4519464473ef9f2"}, {file = "zope.interface-7.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:05b910a5afe03256b58ab2ba6288960a2892dfeef01336dc4be6f1b9ed02ab0a"}, @@ -5814,6 +6022,7 @@ version = "0.23.0" description = "Zstandard bindings for Python" optional = false python-versions = ">=3.8" +groups = ["metrics"] files = [ {file = "zstandard-0.23.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bf0a05b6059c0528477fba9054d09179beb63744355cab9f38059548fedd46a9"}, {file = "zstandard-0.23.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fc9ca1c9718cb3b06634c7c8dec57d24e9438b2aa9a0f02b8bb36bf478538880"}, @@ -5921,6 +6130,6 @@ cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\ cffi = ["cffi (>=1.11)"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "2421a73a59b5570dfff745b8d124178bef016c8bab9563af011cf7815d04c461" +content-hash = "362c07e1850f7368c3be820e0c89f283355f64ae496442a4d2ee04180070d1f7" diff --git a/pyproject.toml b/pyproject.toml index d270acb..a346c2b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -16,7 +16,7 @@ huggingface-hub = "^0.29.1" langdetect = "^1.0.9" litellm = "^1.61.15" mistralai = "^1.2.2" -openai = "^1.60.2" +# openai = "^1.60.2" psycopg2-binary = "^2.9.10" pydantic = "^2.1.1" pydantic-settings = "^2.0.3" diff --git a/src/app/services/abst_chat.py b/src/app/services/abst_chat.py index 0be1120..9158416 100644 --- a/src/app/services/abst_chat.py +++ b/src/app/services/abst_chat.py @@ -77,12 +77,12 @@ def __init__( def init_client(self): self.chat_client = LLMProxy( - model=self.model, - api_key=self.API_KEY, - api_base=self.API_BASE, - api_version=self.API_VERSION, - ) - + model=self.model, + api_key=self.API_KEY, + api_base=self.API_BASE, + api_version=self.API_VERSION, + debug=True, + ) async def _detect_language(self, query: str) -> Dict[str, str]: """ @@ -127,7 +127,7 @@ async def _detect_lang_with_llm(self, query: str) -> Dict[str, str]: ], response_format={ "type": "json_object", - } + }, ) try: @@ -141,7 +141,9 @@ async def _detect_lang_with_llm(self, query: str) -> Dict[str, str]: logger.error("api_error=invalid_json, response=%s", detected_lang) raise ValueError("Invalid response from model") - async def _detect_past_message_ref(self, query: str, history: List[Dict[str, str]]) -> dict | None: + async def _detect_past_message_ref( + self, query: str, history: List[Dict[str, str]] + ) -> dict | None: """ Detects reference to past messages. @@ -163,7 +165,7 @@ async def _detect_past_message_ref(self, query: str, history: List[Dict[str, str ], response_format={ "type": "json_object", - } + }, ) try: @@ -175,7 +177,7 @@ async def _detect_past_message_ref(self, query: str, history: List[Dict[str, str return jsn except json.JSONDecodeError: - + logger.error("api_error=invalid_json, response=%s", completion) except AssertionError: logger.error("api_error=assertion_error, response=%s", completion) @@ -272,7 +274,7 @@ async def reformulate_user_query(self, query: str, history: List[Dict[str, str]] } ) - return ref_query + return ref_query async def get_new_questions( self, query: str, history: List[Dict[str, str]] @@ -301,9 +303,7 @@ async def get_new_questions( assert isinstance(res, str) - res_list: List[str] = [ - r.strip() for r in res.split("%%") if len(r.strip()) > 0 - ] + res_list: List[str] = [r.strip() for r in res.split("%%") if len(r.strip()) > 0] return {"NEW_QUESTIONS": res_list} async def rephrase_message( @@ -401,4 +401,3 @@ async def chat_message( messages=messages, ) return self.get_message_content(res) - diff --git a/src/app/services/llm_proxy.py b/src/app/services/llm_proxy.py index a897d4e..427acf8 100644 --- a/src/app/services/llm_proxy.py +++ b/src/app/services/llm_proxy.py @@ -62,7 +62,7 @@ def completion_stream( self, messages: list, ): - + print("streaming") response = completion( model=self.model, api_key=self.api_key, @@ -71,5 +71,6 @@ def completion_stream( messages=messages, stream=True, ) + print('>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> streaming done') return response From 090f11421da04e4fc71579aadfb5cb89821ca0e4 Mon Sep 17 00:00:00 2001 From: CRI USER Date: Wed, 7 May 2025 18:04:23 +0200 Subject: [PATCH 4/7] - removes non necessary dependencies - handles tests --- poetry.lock | 78 +---------- pyproject.toml | 3 - src/app/api/api_v1/endpoints/chat.py | 30 +--- src/app/api/api_v1/endpoints/tutor.py | 1 - src/app/services/abst_chat.py | 46 ++----- src/app/services/llm_proxy.py | 2 - src/app/tests/api/api_v1/test_chat.py | 126 +++++++++-------- src/app/tests/services/test_abst_chat.py | 167 +++++++++-------------- 8 files changed, 146 insertions(+), 307 deletions(-) diff --git a/poetry.lock b/poetry.lock index 90f48c9..d1f39e1 100644 --- a/poetry.lock +++ b/poetry.lock @@ -315,27 +315,6 @@ task-centric-memory = ["chromadb (>=0.6.3)"] video-surfer = ["autogen-agentchat (==0.4.9.3)", "ffmpeg-python", "openai-whisper", "opencv-python (>=4.5)"] web-surfer = ["autogen-agentchat (==0.4.9.3)", "markitdown (>=0.0.1,<0.1.0)", "pillow (>=11.0.0)", "playwright (>=1.48.0)"] -[[package]] -name = "azure-ai-inference" -version = "1.0.0b9" -description = "Microsoft Azure AI Inference Client Library for Python" -optional = false -python-versions = ">=3.8" -groups = ["main"] -files = [ - {file = "azure_ai_inference-1.0.0b9-py3-none-any.whl", hash = "sha256:49823732e674092dad83bb8b0d1b65aa73111fab924d61349eb2a8cdc0493990"}, - {file = "azure_ai_inference-1.0.0b9.tar.gz", hash = "sha256:1feb496bd84b01ee2691befc04358fa25d7c344d8288e99364438859ad7cd5a4"}, -] - -[package.dependencies] -azure-core = ">=1.30.0" -isodate = ">=0.6.1" -typing-extensions = ">=4.6.0" - -[package.extras] -opentelemetry = ["azure-core-tracing-opentelemetry"] -prompts = ["pyyaml"] - [[package]] name = "azure-core" version = "1.34.0" @@ -552,7 +531,7 @@ description = "Foreign Function Interface for Python calling C code." optional = false python-versions = ">=3.8" groups = ["metrics"] -markers = "implementation_name == \"pypy\" or (platform_python_implementation == \"CPython\" or platform_python_implementation == \"PyPy\") and sys_platform == \"win32\" or platform_python_implementation == \"PyPy\"" +markers = "platform_python_implementation == \"CPython\" and sys_platform == \"win32\" or implementation_name == \"pypy\" or platform_python_implementation == \"PyPy\"" files = [ {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"}, {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"}, @@ -995,21 +974,6 @@ litellm = ["litellm (>=1.41.23,<2.0.0)", "rapidfuzz (>=3.9.6,<4.0.0)"] mistralai = ["mistralai (>=0.4.3,<2.0.0)"] openai = ["openai (>=1.12.0,<2.0.0)"] -[[package]] -name = "eval-type-backport" -version = "0.2.2" -description = "Like `typing._eval_type`, but lets older Python versions use newer typing features." -optional = false -python-versions = ">=3.8" -groups = ["main"] -files = [ - {file = "eval_type_backport-0.2.2-py3-none-any.whl", hash = "sha256:cb6ad7c393517f476f96d456d0412ea80f0a8cf96f6892834cd9340149111b0a"}, - {file = "eval_type_backport-0.2.2.tar.gz", hash = "sha256:f0576b4cf01ebb5bd358d02314d31846af5e07678387486e2c798af0e7d849c1"}, -] - -[package.extras] -tests = ["pytest"] - [[package]] name = "exceptiongroup" version = "1.2.2" @@ -1841,18 +1805,6 @@ files = [ {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"}, ] -[[package]] -name = "isodate" -version = "0.7.2" -description = "An ISO 8601 date/time/duration parser and formatter" -optional = false -python-versions = ">=3.7" -groups = ["main"] -files = [ - {file = "isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15"}, - {file = "isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6"}, -] - [[package]] name = "isort" version = "5.13.2" @@ -2467,28 +2419,6 @@ files = [ {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"}, ] -[[package]] -name = "mistralai" -version = "1.7.0" -description = "Python Client SDK for the Mistral AI API." -optional = false -python-versions = ">=3.9" -groups = ["main"] -files = [ - {file = "mistralai-1.7.0-py3-none-any.whl", hash = "sha256:e0e75ab8508598d69ae19b14d9d7e905db6259a2de3cf9204946a27e9bf81c5d"}, - {file = "mistralai-1.7.0.tar.gz", hash = "sha256:94e3eb23c1d3ed398a95352062fd8c92993cc3754ed18e9a35b60aa3db0bd103"}, -] - -[package.dependencies] -eval-type-backport = ">=0.2.0" -httpx = ">=0.28.1" -pydantic = ">=2.10.3" -python-dateutil = ">=2.8.2" -typing-inspection = ">=0.4.0" - -[package.extras] -gcp = ["google-auth (>=2.27.0)", "requests (>=2.32.3)"] - [[package]] name = "mpmath" version = "1.3.0" @@ -3538,7 +3468,7 @@ description = "C parser in Python" optional = false python-versions = ">=3.8" groups = ["metrics"] -markers = "implementation_name == \"pypy\" or (platform_python_implementation == \"CPython\" or platform_python_implementation == \"PyPy\") and sys_platform == \"win32\" or platform_python_implementation == \"PyPy\"" +markers = "platform_python_implementation == \"CPython\" and sys_platform == \"win32\" or implementation_name == \"pypy\" or platform_python_implementation == \"PyPy\"" files = [ {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"}, {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"}, @@ -3864,7 +3794,7 @@ version = "2.9.0.post0" description = "Extensions to the standard Python datetime module" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" -groups = ["main", "metrics"] +groups = ["metrics"] files = [ {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, @@ -6132,4 +6062,4 @@ cffi = ["cffi (>=1.11)"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "362c07e1850f7368c3be820e0c89f283355f64ae496442a4d2ee04180070d1f7" +content-hash = "d1204a82e3d21cf0bb932a8ed952b817c3ef1a6fc79a89fbbc29dec306ddd372" diff --git a/pyproject.toml b/pyproject.toml index a346c2b..0402b50 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,6 @@ readme = "README.md" [tool.poetry.dependencies] python = ">=3.10,<3.13" -azure-ai-inference = "^1.0.0b8" azure-core = "^1.32.0" backoff = "^2.2.1" ecologits = "^0.5.2" @@ -15,8 +14,6 @@ fastapi = "^0.115.8" huggingface-hub = "^0.29.1" langdetect = "^1.0.9" litellm = "^1.61.15" -mistralai = "^1.2.2" -# openai = "^1.60.2" psycopg2-binary = "^2.9.10" pydantic = "^2.1.1" pydantic-settings = "^2.0.3" diff --git a/src/app/api/api_v1/endpoints/chat.py b/src/app/api/api_v1/endpoints/chat.py index 1cc02eb..851377f 100644 --- a/src/app/api/api_v1/endpoints/chat.py +++ b/src/app/api/api_v1/endpoints/chat.py @@ -8,7 +8,7 @@ from src.app.api.dependencies import get_settings from src.app.models import chat as models -from src.app.services.abst_chat import AbstractChat +from src.app.services.abst_chat import AbstractChat from src.app.services.constants import subjects as subjectsDict from src.app.services.exceptions import ( EmptyQueryError, @@ -16,7 +16,6 @@ LanguageNotSupportedError, bad_request, ) -from src.app.services.llm_proxy import LLMProxy from src.app.utils.logger import logger as utils_logger logger = utils_logger(__name__) @@ -31,7 +30,6 @@ API_BASE=settings.AZURE_API_BASE, API_VERSION=settings.AZURE_API_VERSION, ) -chatfactory.init_client() def get_params(body: models.Context) -> models.ContextOut: @@ -53,32 +51,6 @@ class Response(BaseModel): greeting: str -@router.post("/test_litellm") -async def test_litellm(): - try: - response = await LLMProxy( - model="azure/gpt-4o", - api_key=settings.AZURE_GPT_4O_API_KEY, - api_base=settings.AZURE_GPT_4O_API_BASE, - api_version=settings.AZURE_GPT_4O_API_VERSION, - ).completion( - messages=[ - {"role": "system", "content": "you should say hello in portuguese"} - ], - response_format=Response, - ) - return response - except Exception as e: - logger.error("Error while testing litellm: %s", e) - raise HTTPException( - status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, - detail={ - "message": "Something went wrong while testing litellm", - "code": "LITELLM_TEST_ERROR", - }, - ) - - @router.post( "/reformulate/query", summary="Reformulate User Query", diff --git a/src/app/api/api_v1/endpoints/tutor.py b/src/app/api/api_v1/endpoints/tutor.py index 44e7f84..76b10cb 100644 --- a/src/app/api/api_v1/endpoints/tutor.py +++ b/src/app/api/api_v1/endpoints/tutor.py @@ -30,7 +30,6 @@ API_BASE=settings.AZURE_GPT_4O_API_BASE, API_VERSION=settings.AZURE_GPT_4O_API_VERSION, ) -chatfactory.init_client() sp = SearchService() diff --git a/src/app/services/abst_chat.py b/src/app/services/abst_chat.py index 9158416..8e1b25b 100644 --- a/src/app/services/abst_chat.py +++ b/src/app/services/abst_chat.py @@ -16,19 +16,13 @@ """ import json -from abc import ABC, abstractmethod -from typing import AsyncIterable, Dict, List, Literal, Optional +from abc import ABC +from typing import AsyncIterable, Dict, List, Optional -from azure.ai.inference import ChatCompletionsClient -from azure.core.credentials import AzureKeyCredential # from ecologits import EcoLogits # type: ignore -from mistralai import Mistral -from openai import AsyncAzureOpenAI -from pydantic import BaseModel -from src.app.api.dependencies import get_settings -from src.app.models.chat import RESPONSE_TYPE, ReformulatedQueryResponse +from src.app.models.chat import ReformulatedQueryResponse from src.app.models.documents import Document from src.app.services import prompts from src.app.services.exceptions import LanguageNotSupportedError @@ -60,6 +54,12 @@ def __init__( API_BASE: Optional[str] = None, API_VERSION: Optional[str] = None, ): + self.chat_client = LLMProxy( + model=model, + api_key=API_KEY, + api_base=API_BASE, + api_version=API_VERSION, + ) self.model = model self.API_KEY = API_KEY self.API_BASE = API_BASE @@ -75,15 +75,6 @@ def __init__( }, } - def init_client(self): - self.chat_client = LLMProxy( - model=self.model, - api_key=self.API_KEY, - api_base=self.API_BASE, - api_version=self.API_VERSION, - debug=True, - ) - async def _detect_language(self, query: str) -> Dict[str, str]: """ Detects the language of the query. @@ -104,10 +95,6 @@ async def _detect_language(self, query: str) -> Dict[str, str]: lang = await self._detect_lang_with_llm(query) return lang - async def flex_chat(self, messages): - completion = await self.chat(model=self.model, type="text", messages=messages) - return completion - async def _detect_lang_with_llm(self, query: str) -> Dict[str, str]: """ Detects language using LLM. @@ -183,19 +170,6 @@ async def _detect_past_message_ref( logger.error("api_error=assertion_error, response=%s", completion) raise ValueError("Invalid response from model") - def get_message_content(self, message) -> str: - """ - Gets content from response. - - Args: - message (dict): The chat response. - - Returns: - str: The chat client response content. - """ - log_environmental_impacts(message, logger) - check = message.choices[0].message.content - return check async def get_stream_chunks(self, stream) -> AsyncIterable[str]: """ @@ -400,4 +374,4 @@ async def chat_message( res = await self.chat_client.completion( messages=messages, ) - return self.get_message_content(res) + return res diff --git a/src/app/services/llm_proxy.py b/src/app/services/llm_proxy.py index 427acf8..e54ac0a 100644 --- a/src/app/services/llm_proxy.py +++ b/src/app/services/llm_proxy.py @@ -62,7 +62,6 @@ def completion_stream( self, messages: list, ): - print("streaming") response = completion( model=self.model, api_key=self.api_key, @@ -71,6 +70,5 @@ def completion_stream( messages=messages, stream=True, ) - print('>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> streaming done') return response diff --git a/src/app/tests/api/api_v1/test_chat.py b/src/app/tests/api/api_v1/test_chat.py index 4cf6ba4..cfbfdf9 100644 --- a/src/app/tests/api/api_v1/test_chat.py +++ b/src/app/tests/api/api_v1/test_chat.py @@ -68,40 +68,25 @@ @mock.patch( "src.app.services.abst_chat.AbstractChat._detect_language", ) -@mock.patch("src.app.services.abst_chat.Open_Chat.chat") +@mock.patch("src.app.services.abst_chat.AbstractChat.chat_message") class QnATests(unittest.IsolatedAsyncioTestCase): def setUp(self): backoff.on_exception = MagicMock() - async def test_chat(self, chat_mock, mock_check_language): - mock_check_language.return_value = {"ISO_CODE": "en"} + async def test_chat(self, chat_mock, *mocks): + chat_mock.return_value = "ok" response = client.post( f"{settings.API_V1_STR}/qna/chat/answer", json=JSON, headers={"X-API-Key": "test"}, ) - chat_mock.assert_called_with( - type="text", - model="gpt-4o-mini", - messages=[ - { - "role": "system", - "content": '\nCONTEXT: You are an expert in sustainable development goals (SDGs).\n\nOBJECTIVE: Answer the user\'s question based on the provided articles (enclosed in XML tags). Always include the reference of the article at the end of the sentence using the following format: [Doc 2].\n\nSTYLE: Structured, conversational, and easy to understand, as if explaining to a friend. Always include the reference of the article at the end of the sentence using the following format: [Doc 2].\n\nTONE: Informative yet engaging.\n\nAUDIENCE: Non-technical readers, university students aged 18-25 years, on a General cursus.\n\nRESPONSE: It is crucial to use the tag; otherwise, the answer will be considered invalid. Provide a clear and structured response based on the articles and questions provided. Use breaks, bullet points, and lists to structure your answers if relevant. You don\'t have to use all articles, only if it makes sense in the conversation. Answer in the same language as the user did.\n', - }, - {"role": "user", "content": "How to promote sustainable agriculture?"}, - {"role": "assistant", "content": "here is my answer"}, - { - "role": "user", - "content": "\nArticles:\n
\nDoc 1: testTitle\ntestContent\n\nurl:testUrl
\n\nQuestion: here is my answer\n\nIMPORTANT:\n- The answer must be formulated in the same language as the question. Language: {'ISO_CODE': 'en'}.\n- Answer with the facts listed in the articles above. If there isn't enough information, say you don't know.\n- Every element of the answer must be supported by a reference to the article.\n- Add the reference of the article with a tag as follows: [Doc 2]. The target=\"_blank\" attribute is mandatory.\n- It is very important to use the tag; otherwise, the answer will be considered invalid.\n", - }, - ], - ) - self.assertIsNotNone(response) - - async def test_chat_empty_history(self, chat_mock, mock_check_language): - mock_check_language.return_value = {"ISO_CODE": "en"} + response_json = response.json() + self.assertEqual(response.status_code, 200) + self.assertEqual(response_json, "ok") + async def test_chat_empty_history(self, chat_mock, *mocks): + chat_mock.return_value = "ok" response = client.post( f"{settings.API_V1_STR}/qna/chat/answer", json=JSON_NO_HIST, @@ -109,65 +94,92 @@ async def test_chat_empty_history(self, chat_mock, mock_check_language): ) chat_mock.assert_called_with( - type="text", - model="gpt-4o-mini", - messages=[ - { - "role": "system", - "content": '\nCONTEXT: You are an expert in sustainable development goals (SDGs).\n\nOBJECTIVE: Answer the user\'s question based on the provided articles (enclosed in XML tags). Always include the reference of the article at the end of the sentence using the following format: [Doc 2].\n\nSTYLE: Structured, conversational, and easy to understand, as if explaining to a friend. Always include the reference of the article at the end of the sentence using the following format: [Doc 2].\n\nTONE: Informative yet engaging.\n\nAUDIENCE: Non-technical readers, university students aged 18-25 years, on a General cursus.\n\nRESPONSE: It is crucial to use the tag; otherwise, the answer will be considered invalid. Provide a clear and structured response based on the articles and questions provided. Use breaks, bullet points, and lists to structure your answers if relevant. You don\'t have to use all articles, only if it makes sense in the conversation. Answer in the same language as the user did.\n', - }, - { - "role": "user", - "content": "\nArticles:\n
\nDoc 1: testTitle\ntestContent\n\nurl:testUrl
\n\nQuestion: Bonjour?\n\nIMPORTANT:\n- The answer must be formulated in the same language as the question. Language: {'ISO_CODE': 'en'}.\n- Answer with the facts listed in the articles above. If there isn't enough information, say you don't know.\n- Every element of the answer must be supported by a reference to the article.\n- Add the reference of the article with a tag as follows: [Doc 2]. The target=\"_blank\" attribute is mandatory.\n- It is very important to use the tag; otherwise, the answer will be considered invalid.\n", - }, + query="Bonjour?", + history=[], + docs=[ + DocumentModel( + score=0.636549, + payload=DocumentPayloadModel( + document_corpus="testCorpus", + document_desc="testDesc", + document_details={ + "author": "testAuthor", + "duration": 276, + "readability": 42.61, + "source": "au", + }, + document_id="testDocId", + document_lang="en", + document_sdg=[11, 12, 13, 15, 2, 8], + document_title="testTitle", + document_url="testUrl", + slice_content="testContent", + slice_sdg=15, + ), + ) ], + subject=None, ) + response_json = response.json() + self.assertEqual(response.status_code, 200) + self.assertEqual(response_json, "ok") - self.assertIsNotNone(response) - - async def test_chat_not_supported_lang(self, chat_mock, mock__detect_language): + async def test_chat_not_supported_lang(self, chat_mock, *mocks): # mock raise LanguageNotSupportedError - mock__detect_language.side_effect = LanguageNotSupportedError + chat_mock.side_effect = LanguageNotSupportedError JSON_NO_HIST["query"] = "Bom dia?" response = client.post( f"{settings.API_V1_STR}/qna/chat/answer", json=JSON_NO_HIST, headers={"X-API-Key": "test"}, ) + self.assertEqual(response.status_code, 400) - chat_mock.assert_not_called() - self.assertIsNotNone(response) - - async def test_chat_rephrase(self, mock_chat, mock_check_language): + async def test_chat_rephrase(self, *mocks): with mock.patch( - "src.app.services.abst_chat.AbstractChat.chat_message", - return_value=[ - {"role": "user", "content": "How to promote sustainable agriculture?"} - ], - ): + "src.app.services.abst_chat.AbstractChat.rephrase_message", + return_value="ok", + ) as mock_rephrase: client.post( f"{settings.API_V1_STR}/qna/chat/rephrase", json=JSON, headers={"X-API-Key": "test"}, ) - mock_chat.assert_called_with( - type="text", - model="gpt-4o-mini", - messages=[ - { - "role": "system", - "content": '\nCONTEXT: You are an expert in sustainable development goals (SDGs).\n\nOBJECTIVE: Answer the user\'s question based on the provided articles (enclosed in XML tags). Always include the reference of the article at the end of the sentence using the following format: [Doc 2].\n\nSTYLE: Structured, conversational, and easy to understand, as if explaining to a friend. Always include the reference of the article at the end of the sentence using the following format: [Doc 2].\n\nTONE: Informative yet engaging.\n\nAUDIENCE: Non-technical readers, university students aged 18-25 years, on a General cursus.\n\nRESPONSE: It is crucial to use the tag; otherwise, the answer will be considered invalid. Provide a clear and structured response based on the articles and questions provided. Use breaks, bullet points, and lists to structure your answers if relevant. You don\'t have to use all articles, only if it makes sense in the conversation. Answer in the same language as the user did.\n', - }, + mock_rephrase.assert_called_with( + query="Bonjour?", + history=[ { "role": "user", "content": "How to promote sustainable agriculture?", }, { - "role": "user", - "content": '\nCONTEXT: You are a sustainable development goals (SDGs) expert. You are given a prompt and extracted parts of documents. Each document is delimited with XML tags
.\n\nOBJECTIVE: Reformulate the given prompt based on the chat conversation and given articles. Always add the reference of the article at the end of the sentence (as follows, [Doc 2]).\n\nSTYLE: Structured, conversational, and easy to understand, like explaining to a friend. Always add the reference of the article at the end of the sentence (as follows, [Doc 2]).\n\nTONE: Informative yet engaging.\n\nAUDIENCE: Non-technical readers, university students aged 18-25 years.\n\nRESPONSE: It is very important to use the tag; otherwise, the answer will be considered invalid. Provide a clear and structured answer based on the articles and questions provided. If relevant, use breaks, bullet points, and lists to structure your answers. You don\'t have to use all articles, only if it makes sense in the conversation. Use the same language as the user did.\n\nIMPORTANT:\n- You must answer in the same language as the question.\n- Answer with the facts listed in the list of articles above. If there isn\'t enough information, say you don\'t know.\n- Every element of the answer must be supported by a reference to the article.\n- Add the reference of the article with a tag as follows: [Doc 2]. The target="_blank" attribute is mandatory.\n- It is very important to use the tag; otherwise, the answer will be considered invalid.\n\nArticles:\n
\nDoc 1: testTitle\ntestContent\n\nurl:testUrl
\n\nPrompt: here is my answer\n\nReformulated prompt:\n', + "role": "assistant", + "content": "here is my answer", }, ], + docs=[ + DocumentModel( + score=0.636549, + payload=DocumentPayloadModel( + document_corpus="testCorpus", + document_desc="testDesc", + document_details={ + "author": "testAuthor", + "duration": 276, + "readability": 42.61, + "source": "au", + }, + document_id="testDocId", + document_lang="en", + document_sdg=[11, 12, 13, 15, 2, 8], + document_title="testTitle", + document_url="testUrl", + slice_content="testContent", + slice_sdg=15, + ), + ) + ], ) def test_new_questions_empty_query(self, *mocks): diff --git a/src/app/tests/services/test_abst_chat.py b/src/app/tests/services/test_abst_chat.py index 2765d7c..11d8197 100644 --- a/src/app/tests/services/test_abst_chat.py +++ b/src/app/tests/services/test_abst_chat.py @@ -12,7 +12,7 @@ # test ChatFactory class # mock open ai api and mistralai api from src.app.models.chat import ReformulatedQueryResponse -from src.app.services.abst_chat import AbstractChat, ChatFactory +from src.app.services.abst_chat import AbstractChat from src.app.services.exceptions import LanguageNotSupportedError @@ -33,67 +33,27 @@ def create_chat_responses_mocks(response: str): ) -# test that when calling factory with "mistral" it calls mistral class -@mock.patch("src.app.services.abst_chat.Azure_Chat") -@mock.patch("src.app.services.abst_chat.Open_Chat") -@mock.patch("src.app.services.abst_chat.Mistral_Chat") -class TestChatFactory(unittest.TestCase): - def test_create_chat_mistral(self, mock_mistral, mock_openai, mock_azure): - ChatFactory().create_chat("mistral") - assert mock_mistral.called - assert not mock_openai.called - assert not mock_azure.called - - def test_create_openai(self, mock_mistral, mock_openai, mock_azure): - ChatFactory().create_chat("openai") - assert not mock_mistral.called - assert mock_openai.called - assert not mock_azure.called - - def test_create_azure(self, mock_mistral, mock_openai, mock_azure): - ChatFactory().create_chat("azure", "Meta-Llama-3.1-8B-Instruct") - assert not mock_mistral.called - assert mock_azure.called - assert not mock_openai.called - - def test_chatfactory_error(self, *mocks): - with self.assertRaises(ValueError): - ChatFactory().create_chat("other_service") - - -# Mock concrete class for AbstractChat for testing purposes -class ConcreteChat(AbstractChat): - def init_client(self): - pass # No-op implementation - - async def chat(self, type, model, messages): - # Simulate a mock response - return {"choices": [{"message": {"content": "Mocked chat response"}}]} +class MockedLLMProxy: + def __init__(self, model, api_key=None, api_base=None, api_version=None): + self.model = model + self.api_key = api_key + self.api_base = api_base + self.api_version = api_version - async def chat_schema(self, response_format, model, messages): - # Simulate a mock response - return {"choices": [{"message": {"content": "Mocked chat response"}}]} + async def completion(self, type, model, messages): + return create_chat_responses_mocks('{"ISO_CODE": "en"}') - async def streamed_chat(self, messages): - # Simulate a streaming response + async def completion_stream(self, messages): yield "Streamed response" +@mock.patch("src.app.services.abst_chat.LLMProxy") class TestAbstractChat(unittest.IsolatedAsyncioTestCase): def setUp(self): - # Instantiate ConcreteChat instead of AbstractChat - self.chat = ConcreteChat("api_key", "model") - - def test_get_message_content(self): - # Create a mocked chat response - mocked_chat = create_chat_responses_mocks("this is a message") - # Ensure the method returns the expected content - self.assertEqual( - self.chat.get_message_content(mocked_chat), "this is a message" - ) + self.chat = AbstractChat(model="model", API_KEY="toto_api_key") @mock.patch("src.app.services.abst_chat.detect_language_from_entry") - async def test_lang_error_helper(self, mock_detect_lang): + async def test_lang_error_helper(self, mock_detect_lang, *mocks): self.chat._detect_lang_with_llm = mock.AsyncMock() mock_detect_lang.side_effect = LanguageNotSupportedError @@ -103,76 +63,76 @@ async def test_lang_error_helper(self, mock_detect_lang): @mock.patch( "src.app.services.abst_chat.detect_language_from_entry", return_value="en" ) - async def test_lang_ok(self, mock_detect_lang): + async def test_lang_ok(self, *mocks): lang = await self.chat._detect_language("fake message") assert lang == {"ISO_CODE": "en"} - async def test_lang_not_supported(self): + async def test_lang_not_supported(self, *mocks): mocked_chat = create_chat_responses_mocks('{"ISO_CODE": "pt"}') - self.chat.chat = mock.AsyncMock(return_value=mocked_chat) + self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) with self.assertRaises(LanguageNotSupportedError): await self.chat._detect_language("fake message") mocked_chat = create_chat_responses_mocks("not json format") - self.chat.chat = mock.AsyncMock(return_value=mocked_chat) + self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) with self.assertRaises(ValueError): await self.chat._detect_language("fake message") - async def test_lang_supported(self): + async def test_lang_supported(self, *mocks): mocked_chat = create_chat_responses_mocks('{"ISO_CODE": "en"}') - self.chat.chat = mock.AsyncMock(return_value=mocked_chat) + self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) assert await self.chat._detect_language("fake message") == {"ISO_CODE": "en"} mocked_chat = create_chat_responses_mocks('{"ISO_CODE": "fr"}') - self.chat.chat = mock.AsyncMock(return_value=mocked_chat) + self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) assert await self.chat._detect_language("fake message") == {"ISO_CODE": "fr"} - async def test_detect_past_message(self): + async def test_detect_past_message(self, *mocks): mocked_chat = create_chat_responses_mocks('{"REF_TO_PAST": true}') - self.chat.chat = mock.AsyncMock(return_value=mocked_chat) + self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) assert await self.chat._detect_past_message_ref("fake message", []) == { "REF_TO_PAST": True } mocked_chat = create_chat_responses_mocks(' {"REF_TO_PAST": true} ') - self.chat.chat = mock.AsyncMock(return_value=mocked_chat) + self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) assert await self.chat._detect_past_message_ref("fake message", []) == { "REF_TO_PAST": True } mocked_chat = create_chat_responses_mocks('{"REF_TO_PAST": false}') - self.chat.chat = mock.AsyncMock(return_value=mocked_chat) + self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) assert await self.chat._detect_past_message_ref("fake message", []) == { "REF_TO_PAST": False } mocked_chat = create_chat_responses_mocks('{"REF_TO_TOTO": false}') - self.chat.chat = mock.AsyncMock(return_value=mocked_chat) + self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) with self.assertRaises(ValueError): await self.chat._detect_past_message_ref("fake message", []) - async def test_detect_past_message_invalid_format(self): + async def test_detect_past_message_invalid_format(self, *mocks): mocked_chat = create_chat_responses_mocks("this is not a true/false answer") - self.chat.chat = mock.AsyncMock(return_value=mocked_chat) + self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) with self.assertRaises(ValueError): await self.chat._detect_past_message_ref("fake message", []) - async def test_reformulate_user_query_invalid_ref_to_pas(self): + async def test_reformulate_user_query_invalid_ref_to_pas(self, *mocks): self.chat._detect_past_message_ref = mock.AsyncMock( return_value={"REF_TO_PAST": True} ) - self.chat.chat_schema = mock.AsyncMock() + self.chat.chat_client.completion = mock.AsyncMock() resp = await self.chat.reformulate_user_query("this is the user query", []) assert resp.QUERY_STATUS == "INVALID" - self.chat.chat_schema.assert_not_called() + self.chat.chat_client.completion.assert_not_called() - async def test_reformulate_user_query_valid_ref_to_pas(self): + async def test_reformulate_user_query_valid_ref_to_pas(self, *mocks): self.chat._detect_past_message_ref = mock.AsyncMock( return_value={"REF_TO_PAST": True} ) - self.chat.chat_schema = mock.AsyncMock() + self.chat.chat_client.completion = mock.AsyncMock() resp = await self.chat.reformulate_user_query( "this is the user query", [ @@ -181,14 +141,16 @@ async def test_reformulate_user_query_valid_ref_to_pas(self): ], ) assert resp.QUERY_STATUS == "REF_TO_PAST" - self.chat.chat_schema.assert_not_called() + self.chat.chat_client.completion.assert_not_called() - async def test_reformulate_user_query_hist(self): + async def test_reformulate_user_query_hist(self, *mocks): self.chat._detect_past_message_ref = mock.AsyncMock( return_value={"REF_TO_PAST": False} ) self.chat._detect_language = mock.AsyncMock() - self.chat.chat_schema = mock.AsyncMock(return_value=ReformulatedQueryResponse()) + self.chat.chat_client.completion = mock.AsyncMock( + return_value=ReformulatedQueryResponse() + ) await self.chat.reformulate_user_query( "this is the user query", [ @@ -205,14 +167,14 @@ async def test_reformulate_user_query_hist(self): ], ) - self.chat.chat_schema.assert_called_once() + self.chat.chat_client.completion.assert_called_once() - async def test_reformulate_user_query__INVALID__(self): + async def test_reformulate_user_query__INVALID__(self, *mocks): self.chat._detect_past_message_ref = mock.AsyncMock( return_value={"REF_TO_PAST": False} ) self.chat._detect_language = mock.AsyncMock() - self.chat.chat_schema = mock.AsyncMock( + self.chat.chat_client.completion = mock.AsyncMock( return_value=ReformulatedQueryResponse(QUERY_STATUS="INVALID"), ) reformulated = await self.chat.reformulate_user_query( @@ -225,11 +187,11 @@ async def test_reformulate_user_query__INVALID__(self): assert reformulated.QUERY_STATUS == "INVALID" - async def test_reformulate_user_query_valueError(self): + async def test_reformulate_user_query_valueError(self, *mocks): self.chat._detect_past_message_ref = mock.AsyncMock( return_value={"REF_TO_PAST": False} ) - self.chat.chat_schema = mock.AsyncMock( + self.chat.chat_client.completion = mock.AsyncMock( return_value={ "STANDALONE_QUESTION_EN": "Question 1?", "USER_LANGUAGE": "en", @@ -245,12 +207,12 @@ async def test_reformulate_user_query_valueError(self): ], ) - async def test_reformulate_user_chat_not_called_if_ref_to_past(self): + async def test_reformulate_user_chat_not_called_if_ref_to_past(self, *mocks): self.chat._detect_past_message_ref = mock.AsyncMock( return_value={"REF_TO_PAST": True} ) self.chat._detect_language = mock.AsyncMock() - self.chat.chat_schema = mock.AsyncMock() + self.chat.chat_client.completion = mock.AsyncMock() reformulated = await self.chat.reformulate_user_query( "this is the user query", [ @@ -266,14 +228,14 @@ async def test_reformulate_user_chat_not_called_if_ref_to_past(self): {"message": "this is the second past message"}, ], ) - self.chat.chat_schema.assert_not_called() + self.chat.chat_client.completion.assert_not_called() assert reformulated == ReformulatedQueryResponse(QUERY_STATUS="REF_TO_PAST") - async def test_get_new_questions(self): + async def test_get_new_questions(self, *mocks): with mock.patch.object( self.chat, "_detect_language", new_callable=mock.AsyncMock ) as mock_detect_lang: - self.chat.chat = mock.AsyncMock( + self.chat.chat_client.completion = mock.AsyncMock( return_value=create_chat_responses_mocks( "%%Question 1?%% Question 2?%%" ), @@ -285,18 +247,18 @@ async def test_get_new_questions(self): mock_detect_lang.assert_called_with("this is the user query") assert new_questions == {"NEW_QUESTIONS": ["Question 1?", "Question 2?"]} - async def test_rephrase_message_stream_false(self): - self.chat.chat = mock.AsyncMock() - self.chat.streamed_chat = mock.AsyncMock() + async def test_rephrase_message_stream_false(self, *mocks): + self.chat.chat_client.completion = mock.AsyncMock() + self.chat.chat_client.completion_stream = mock.AsyncMock() await self.chat.rephrase_message( message="this is the user query", history=[], docs=[], subject="default" ) - self.chat.chat.assert_called_once() - self.chat.streamed_chat.assert_not_called() + self.chat.chat_client.completion.assert_called_once() + self.chat.chat_client.completion_stream.assert_not_called() - async def test_rephrase_message_stream_true(self): - self.chat.chat = mock.AsyncMock() - self.chat.streamed_chat = mock.AsyncMock() + async def test_rephrase_message_stream_true(self, *mocks): + self.chat.chat_client.completion = mock.AsyncMock() + self.chat.chat_client.completion_stream = mock.AsyncMock() await self.chat.rephrase_message( message="this is the user query", history=[], @@ -304,15 +266,15 @@ async def test_rephrase_message_stream_true(self): subject="default", streamed_ans=True, ) - self.chat.streamed_chat.assert_called_once() - self.chat.chat.assert_not_called() + self.chat.chat_client.completion_stream.assert_called_once() + self.chat.chat_client.completion.assert_not_called() - async def test_chat_message(self): + async def test_chat_message(self, *mocks): with mock.patch.object( self.chat, "_detect_language", new_callable=mock.AsyncMock ) as mock_detect_lang: - self.chat.chat = mock.AsyncMock() - self.chat.streamed_chat = mock.AsyncMock() + self.chat.chat_client.completion = mock.AsyncMock() + self.chat.chat_client.completion_stream = mock.AsyncMock() await self.chat.chat_message( query="this is a query", @@ -324,10 +286,5 @@ async def test_chat_message(self): ) mock_detect_lang.assert_called_with("this is a query") - self.chat.chat.assert_not_called() - self.chat.streamed_chat.assert_called_once() - - async def test_flex_chat(self): - self.chat.chat = mock.AsyncMock() - await self.chat.flex_chat("this is a query") - self.chat.chat.assert_called_once() + self.chat.chat_client.completion.assert_not_called() + self.chat.chat_client.completion_stream.assert_called_once() From cd5a88f52b78e82a6ef57fe42b44b5a6d4741691 Mon Sep 17 00:00:00 2001 From: CRI USER Date: Fri, 9 May 2025 12:17:20 +0200 Subject: [PATCH 5/7] fix tests --- src/app/api/api_v1/endpoints/chat.py | 2 +- src/app/services/abst_chat.py | 31 ++++---- src/app/services/llm_proxy.py | 15 ++-- src/app/tests/api/api_v1/test_chat.py | 20 +++-- src/app/tests/services/test_abst_chat.py | 97 ++++++++---------------- src/app/tests/services/test_llm_proxy.py | 55 ++++++++++++++ 6 files changed, 119 insertions(+), 101 deletions(-) create mode 100644 src/app/tests/services/test_llm_proxy.py diff --git a/src/app/api/api_v1/endpoints/chat.py b/src/app/api/api_v1/endpoints/chat.py index 851377f..dd42b70 100644 --- a/src/app/api/api_v1/endpoints/chat.py +++ b/src/app/api/api_v1/endpoints/chat.py @@ -1,10 +1,10 @@ from typing import Optional, cast -from pydantic import BaseModel import backoff from fastapi import APIRouter, Depends, HTTPException, status from fastapi.responses import StreamingResponse from openai import RateLimitError +from pydantic import BaseModel from src.app.api.dependencies import get_settings from src.app.models import chat as models diff --git a/src/app/services/abst_chat.py b/src/app/services/abst_chat.py index 8e1b25b..870bda3 100644 --- a/src/app/services/abst_chat.py +++ b/src/app/services/abst_chat.py @@ -19,9 +19,6 @@ from abc import ABC from typing import AsyncIterable, Dict, List, Optional - -# from ecologits import EcoLogits # type: ignore - from src.app.models.chat import ReformulatedQueryResponse from src.app.models.documents import Document from src.app.services import prompts @@ -31,6 +28,9 @@ from src.app.utils.logger import log_environmental_impacts from src.app.utils.logger import logger as utils_logger +# from ecologits import EcoLogits # type: ignore + + logger = utils_logger(__name__) # EcoLogits.init(["openai", "mistralai"]) @@ -55,11 +55,11 @@ def __init__( API_VERSION: Optional[str] = None, ): self.chat_client = LLMProxy( - model=model, - api_key=API_KEY, - api_base=API_BASE, - api_version=API_VERSION, - ) + model=model, + api_key=API_KEY, + api_base=API_BASE, + api_version=API_VERSION, + ) self.model = model self.API_KEY = API_KEY self.API_BASE = API_BASE @@ -124,8 +124,8 @@ async def _detect_lang_with_llm(self, query: str) -> Dict[str, str]: raise LanguageNotSupportedError() return detected_lang - except json.JSONDecodeError: - logger.error("api_error=invalid_json, response=%s", detected_lang) + except AssertionError: + logger.error("api_error=assertion_error, response=%s", detected_lang) raise ValueError("Invalid response from model") async def _detect_past_message_ref( @@ -170,7 +170,6 @@ async def _detect_past_message_ref( logger.error("api_error=assertion_error, response=%s", completion) raise ValueError("Invalid response from model") - async def get_stream_chunks(self, stream) -> AsyncIterable[str]: """ Gets content from streamed response. @@ -206,7 +205,6 @@ async def reformulate_user_query(self, query: str, history: List[Dict[str, str]] Returns: dict: The reformulated query or None. """ - # lang = await self._detect_language(query) ref_to_past: dict | None = await self._detect_past_message_ref(query, history) if ref_to_past and ref_to_past["REF_TO_PAST"]: @@ -236,9 +234,12 @@ async def reformulate_user_query(self, query: str, history: List[Dict[str, str]] response_format=ReformulatedQueryResponse, ) - assert isinstance(reformulated_query, dict) - - ref_query = ReformulatedQueryResponse(**reformulated_query) + try: + assert isinstance(reformulated_query, dict) + ref_query = ReformulatedQueryResponse(**reformulated_query) + except Exception: + logger.error("api_error=invalid_json, response=%s", reformulated_query) + ref_query = reformulated_query if not isinstance(ref_query, ReformulatedQueryResponse): raise ValueError( diff --git a/src/app/services/llm_proxy.py b/src/app/services/llm_proxy.py index e54ac0a..0bdf354 100644 --- a/src/app/services/llm_proxy.py +++ b/src/app/services/llm_proxy.py @@ -1,13 +1,12 @@ import json - from abc import ABC -from typing import Type, Optional, Union -from pydantic import BaseModel +from typing import Optional, Type, Union import litellm from litellm import acompletion, completion -from litellm.utils import supports_response_schema from litellm.types.utils import ModelResponse +from pydantic import BaseModel + from src.app.utils.logger import logger as utils_logger logger = utils_logger(__name__) @@ -26,10 +25,10 @@ def __init__( self.api_key = api_key self.api_base = api_base self.api_version = api_version - + litellm.enable_json_schema_validation = True if debug: - litellm._turn_on_debug() # to be removed before merge + litellm._turn_on_debug() # type: ignore async def completion( self, @@ -41,14 +40,14 @@ async def completion( model=self.model, api_key=self.api_key, api_base=self.api_base, - api_version=self.api_version, + api_version=self.api_version, messages=messages, response_format=response_format, ) assert isinstance(response, ModelResponse) - response = response["choices"][0]["message"]["content"] + response = response["choices"][0]["message"]["content"].strip() try: return json.loads(response) diff --git a/src/app/tests/api/api_v1/test_chat.py b/src/app/tests/api/api_v1/test_chat.py index cfbfdf9..0b8e794 100644 --- a/src/app/tests/api/api_v1/test_chat.py +++ b/src/app/tests/api/api_v1/test_chat.py @@ -147,17 +147,6 @@ async def test_chat_rephrase(self, *mocks): ) mock_rephrase.assert_called_with( - query="Bonjour?", - history=[ - { - "role": "user", - "content": "How to promote sustainable agriculture?", - }, - { - "role": "assistant", - "content": "here is my answer", - }, - ], docs=[ DocumentModel( score=0.636549, @@ -180,6 +169,15 @@ async def test_chat_rephrase(self, *mocks): ), ) ], + message="here is my answer", + history=[ + { + "role": "user", + "content": "How to promote sustainable agriculture?", + }, + {"role": "assistant", "content": "here is my answer"}, + ], + subject=None, ) def test_new_questions_empty_query(self, *mocks): diff --git a/src/app/tests/services/test_abst_chat.py b/src/app/tests/services/test_abst_chat.py index 11d8197..a025f3f 100644 --- a/src/app/tests/services/test_abst_chat.py +++ b/src/app/tests/services/test_abst_chat.py @@ -1,52 +1,11 @@ import unittest from unittest import mock -from mistralai.models.assistantmessage import AssistantMessage # type: ignore -from mistralai.models.chatcompletionchoice import ChatCompletionChoice -from mistralai.models.chatcompletionresponse import ( # type: ignore - ChatCompletionResponse, -) -from mistralai.models.usageinfo import UsageInfo - -# test abst_chat file -# test ChatFactory class -# mock open ai api and mistralai api from src.app.models.chat import ReformulatedQueryResponse from src.app.services.abst_chat import AbstractChat from src.app.services.exceptions import LanguageNotSupportedError -def create_chat_responses_mocks(response: str): - return ChatCompletionResponse( - id="1", - object="obj", - created=1, - model="model", - usage=UsageInfo(prompt_tokens=1, total_tokens=1, completion_tokens=1), - choices=[ - ChatCompletionChoice( - index=0, - message=AssistantMessage(content=response, role="assistant"), - finish_reason="stop", - ) - ], - ) - - -class MockedLLMProxy: - def __init__(self, model, api_key=None, api_base=None, api_version=None): - self.model = model - self.api_key = api_key - self.api_base = api_base - self.api_version = api_version - - async def completion(self, type, model, messages): - return create_chat_responses_mocks('{"ISO_CODE": "en"}') - - async def completion_stream(self, messages): - yield "Streamed response" - - @mock.patch("src.app.services.abst_chat.LLMProxy") class TestAbstractChat(unittest.IsolatedAsyncioTestCase): def setUp(self): @@ -67,52 +26,57 @@ async def test_lang_ok(self, *mocks): lang = await self.chat._detect_language("fake message") assert lang == {"ISO_CODE": "en"} + @mock.patch( + "src.app.services.abst_chat.detect_language_from_entry", + side_effect=LanguageNotSupportedError, + ) async def test_lang_not_supported(self, *mocks): - mocked_chat = create_chat_responses_mocks('{"ISO_CODE": "pt"}') + mocked_chat = {"ISO_CODE": "pt"} self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) with self.assertRaises(LanguageNotSupportedError): await self.chat._detect_language("fake message") - mocked_chat = create_chat_responses_mocks("not json format") + mocked_chat = "not json format" self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) with self.assertRaises(ValueError): await self.chat._detect_language("fake message") + @mock.patch( + "src.app.services.abst_chat.detect_language_from_entry", + side_effect=LanguageNotSupportedError, + ) async def test_lang_supported(self, *mocks): - mocked_chat = create_chat_responses_mocks('{"ISO_CODE": "en"}') - self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) + mocked_chat = {"ISO_CODE": "en"} + self.chat.chat_client.completion = mock.AsyncMock( + return_value={"ISO_CODE": "en"} + ) assert await self.chat._detect_language("fake message") == {"ISO_CODE": "en"} - mocked_chat = create_chat_responses_mocks('{"ISO_CODE": "fr"}') + mocked_chat = {"ISO_CODE": "fr"} self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) assert await self.chat._detect_language("fake message") == {"ISO_CODE": "fr"} - async def test_detect_past_message(self, *mocks): - mocked_chat = create_chat_responses_mocks('{"REF_TO_PAST": true}') + async def test_detect_past_message_true(self, *mocks): + mocked_chat = {"REF_TO_PAST": True} self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) assert await self.chat._detect_past_message_ref("fake message", []) == { "REF_TO_PAST": True } - mocked_chat = create_chat_responses_mocks(' {"REF_TO_PAST": true} ') - self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) - assert await self.chat._detect_past_message_ref("fake message", []) == { - "REF_TO_PAST": True - } - - mocked_chat = create_chat_responses_mocks('{"REF_TO_PAST": false}') + async def test_detect_past_message_false(self, *mocks): + mocked_chat = {"REF_TO_PAST": False} self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) assert await self.chat._detect_past_message_ref("fake message", []) == { "REF_TO_PAST": False } - mocked_chat = create_chat_responses_mocks('{"REF_TO_TOTO": false}') + mocked_chat = {"REF_TO_TOTO": False} self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) with self.assertRaises(ValueError): await self.chat._detect_past_message_ref("fake message", []) async def test_detect_past_message_invalid_format(self, *mocks): - mocked_chat = create_chat_responses_mocks("this is not a true/false answer") + mocked_chat = "this is not a true/false answer" self.chat.chat_client.completion = mock.AsyncMock(return_value=mocked_chat) with self.assertRaises(ValueError): await self.chat._detect_past_message_ref("fake message", []) @@ -149,7 +113,10 @@ async def test_reformulate_user_query_hist(self, *mocks): ) self.chat._detect_language = mock.AsyncMock() self.chat.chat_client.completion = mock.AsyncMock( - return_value=ReformulatedQueryResponse() + return_value=ReformulatedQueryResponse( + STANDALONE_QUESTION_EN="Question 1?", + STANDALONE_QUESTION_FR="Question 2?", + ) ) await self.chat.reformulate_user_query( "this is the user query", @@ -188,15 +155,15 @@ async def test_reformulate_user_query__INVALID__(self, *mocks): assert reformulated.QUERY_STATUS == "INVALID" async def test_reformulate_user_query_valueError(self, *mocks): + """ + Test the case where the response from the chat client is not in the expected format. + """ + self.chat._detect_past_message_ref = mock.AsyncMock( return_value={"REF_TO_PAST": False} ) self.chat.chat_client.completion = mock.AsyncMock( - return_value={ - "STANDALONE_QUESTION_EN": "Question 1?", - "USER_LANGUAGE": "en", - "STANDALONE_QUESTION_FR": "Question 2?", - } + return_value="STANDALONE_QUESTION_FRQuestion 2?" ) with self.assertRaises(ValueError): await self.chat.reformulate_user_query( @@ -236,9 +203,7 @@ async def test_get_new_questions(self, *mocks): self.chat, "_detect_language", new_callable=mock.AsyncMock ) as mock_detect_lang: self.chat.chat_client.completion = mock.AsyncMock( - return_value=create_chat_responses_mocks( - "%%Question 1?%% Question 2?%%" - ), + return_value="%%Question 1?%% Question 2?%%", ) new_questions = await self.chat.get_new_questions( "this is the user query", [] diff --git a/src/app/tests/services/test_llm_proxy.py b/src/app/tests/services/test_llm_proxy.py new file mode 100644 index 0000000..cc88267 --- /dev/null +++ b/src/app/tests/services/test_llm_proxy.py @@ -0,0 +1,55 @@ +import unittest +from unittest import mock + +from litellm.types.utils import Choices, Message, ModelResponse + +from src.app.services.llm_proxy import LLMProxy + + +def create_chat_responses_mocks(response: str): + return ModelResponse( + choices=[ + Choices( + message=Message(content=response, role="assistant"), + ) + ], + ) + + +@mock.patch("src.app.services.llm_proxy.completion") +@mock.patch("src.app.services.llm_proxy.acompletion", new_callable=mock.AsyncMock) +class TestLLMProxy(unittest.IsolatedAsyncioTestCase): + def setUp(self): + self.proxy = LLMProxy(model="fake_model") + + async def test_response_as_text(self, mocked_acompletion, *mocks): + mocked_acompletion.return_value = create_chat_responses_mocks(response="text") + response = await self.proxy.completion( + messages=[{"role": "user", "content": "Hello"}], + ) + + self.assertIs(response, "text") + self.assertIsInstance(response, str) + + async def test_response_as_dict(self, mocked_acompletion, *mocks): + mocked_acompletion.return_value = create_chat_responses_mocks( + response='{"key": "value"}' + ) + response = await self.proxy.completion( + messages=[{"role": "user", "content": "Hello"}], + ) + + self.assertIsInstance(response, dict) + + def test_stream(self, mocked_acompletion, mocked_completion): + self.proxy.completion_stream( + messages=[{"role": "user", "content": "Hello"}], + ) + mocked_completion.assert_called_with( + model="fake_model", + api_key=None, + api_base=None, + api_version=None, + messages=[{"role": "user", "content": "Hello"}], + stream=True, + ) From 44ed331ae9fa4c668c31bc547594f46000075fd1 Mon Sep 17 00:00:00 2001 From: CRI USER Date: Fri, 9 May 2025 15:38:22 +0200 Subject: [PATCH 6/7] use async for stream --- src/app/services/abst_chat.py | 3 ++- src/app/services/llm_proxy.py | 6 +++--- src/app/tests/services/test_llm_proxy.py | 11 +++++------ 3 files changed, 10 insertions(+), 10 deletions(-) diff --git a/src/app/services/abst_chat.py b/src/app/services/abst_chat.py index 870bda3..967b3ac 100644 --- a/src/app/services/abst_chat.py +++ b/src/app/services/abst_chat.py @@ -185,6 +185,7 @@ async def get_stream_chunks(self, stream) -> AsyncIterable[str]: choices = chunk.choices if choices: if choices[0].delta.content: + print(choices[0].delta.content, end="", flush=True) yield choices[0].delta.content if choices[0].finish_reason: log_environmental_impacts(chunk, logger) @@ -369,7 +370,7 @@ async def chat_message( }, ] if streamed_ans: - res = self.chat_client.completion_stream(messages) + res = await self.chat_client.completion_stream(messages) return self.get_stream_chunks(res) res = await self.chat_client.completion( diff --git a/src/app/services/llm_proxy.py b/src/app/services/llm_proxy.py index 0bdf354..9f800fd 100644 --- a/src/app/services/llm_proxy.py +++ b/src/app/services/llm_proxy.py @@ -3,7 +3,7 @@ from typing import Optional, Type, Union import litellm -from litellm import acompletion, completion +from litellm import acompletion from litellm.types.utils import ModelResponse from pydantic import BaseModel @@ -57,11 +57,11 @@ async def completion( ) return response - def completion_stream( + async def completion_stream( self, messages: list, ): - response = completion( + response = await acompletion( model=self.model, api_key=self.api_key, api_base=self.api_base, diff --git a/src/app/tests/services/test_llm_proxy.py b/src/app/tests/services/test_llm_proxy.py index cc88267..208f1da 100644 --- a/src/app/tests/services/test_llm_proxy.py +++ b/src/app/tests/services/test_llm_proxy.py @@ -16,13 +16,12 @@ def create_chat_responses_mocks(response: str): ) -@mock.patch("src.app.services.llm_proxy.completion") @mock.patch("src.app.services.llm_proxy.acompletion", new_callable=mock.AsyncMock) class TestLLMProxy(unittest.IsolatedAsyncioTestCase): def setUp(self): self.proxy = LLMProxy(model="fake_model") - async def test_response_as_text(self, mocked_acompletion, *mocks): + async def test_response_as_text(self, mocked_acompletion): mocked_acompletion.return_value = create_chat_responses_mocks(response="text") response = await self.proxy.completion( messages=[{"role": "user", "content": "Hello"}], @@ -31,7 +30,7 @@ async def test_response_as_text(self, mocked_acompletion, *mocks): self.assertIs(response, "text") self.assertIsInstance(response, str) - async def test_response_as_dict(self, mocked_acompletion, *mocks): + async def test_response_as_dict(self, mocked_acompletion): mocked_acompletion.return_value = create_chat_responses_mocks( response='{"key": "value"}' ) @@ -41,11 +40,11 @@ async def test_response_as_dict(self, mocked_acompletion, *mocks): self.assertIsInstance(response, dict) - def test_stream(self, mocked_acompletion, mocked_completion): - self.proxy.completion_stream( + async def test_stream(self, mocked_acompletion): + await self.proxy.completion_stream( messages=[{"role": "user", "content": "Hello"}], ) - mocked_completion.assert_called_with( + mocked_acompletion.assert_called_with( model="fake_model", api_key=None, api_base=None, From 96e6a2198e28619e4a95b1bc3f7429f3dc094ba5 Mon Sep 17 00:00:00 2001 From: CRI USER Date: Tue, 13 May 2025 16:21:46 +0200 Subject: [PATCH 7/7] updates rag-metrics --- rag-metrics.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/rag-metrics.py b/rag-metrics.py index e91a69f..01e091c 100644 --- a/rag-metrics.py +++ b/rag-metrics.py @@ -27,7 +27,7 @@ ) from src.app.api.dependencies import get_settings -from src.app.services.abst_chat import ChatFactory +from src.app.services.abst_chat import AbstractChat logger = logging.getLogger(__name__) @@ -41,9 +41,13 @@ # init chat client settings = get_settings() -chat = ChatFactory().create_chat("openai") +chat = AbstractChat( + model="azure/gpt-4o-mini", + API_KEY=settings.AZURE_API_KEY, + API_BASE=settings.AZURE_API_BASE, + API_VERSION=settings.AZURE_API_VERSION, +) -chat.init_client() # init test chat client model = "gpt-4o-mini"