From c448dfb96dd3f95be808cb7e419270b91bb153a6 Mon Sep 17 00:00:00 2001 From: vasilije Date: Wed, 18 Dec 2024 19:01:29 +0100 Subject: [PATCH] Fix langfuse --- cognee/api/v1/cognify/code_graph_pipeline.py | 6 +- cognee/base_config.py | 4 +- cognee/infrastructure/llm/openai/adapter.py | 78 +- poetry.lock | 993 +++++++++---------- pyproject.toml | 3 +- 5 files changed, 509 insertions(+), 575 deletions(-) diff --git a/cognee/api/v1/cognify/code_graph_pipeline.py b/cognee/api/v1/cognify/code_graph_pipeline.py index 59c658300..3d0d1c706 100644 --- a/cognee/api/v1/cognify/code_graph_pipeline.py +++ b/cognee/api/v1/cognify/code_graph_pipeline.py @@ -17,6 +17,10 @@ from cognee.modules.pipelines.operations.log_pipeline_status import log_pipeline from cognee.tasks.documents import classify_documents, check_permissions_on_documents, extract_chunks_from_documents from cognee.tasks.graph import extract_graph_from_code from cognee.tasks.storage import add_data_points +from cognee.base_config import get_base_config +from cognee.shared.data_models import MonitoringTool +if MonitoringTool.LANGFUSE: + from langfuse.decorators import observe logger = logging.getLogger("code_graph_pipeline") @@ -49,7 +53,7 @@ async def code_graph_pipeline(datasets: Union[str, list[str]] = None, user: User return await asyncio.gather(*awaitables) - +@observe async def run_pipeline(dataset: Dataset, user: User): data_documents: list[Data] = await get_dataset_data(dataset_id = dataset.id) diff --git a/cognee/base_config.py b/cognee/base_config.py index 0e70b7652..f50f5a13d 100644 --- a/cognee/base_config.py +++ b/cognee/base_config.py @@ -10,7 +10,9 @@ class BaseConfig(BaseSettings): monitoring_tool: object = MonitoringTool.LANGFUSE graphistry_username: Optional[str] = os.getenv("GRAPHISTRY_USERNAME") graphistry_password: Optional[str] = os.getenv("GRAPHISTRY_PASSWORD") - + langfuse_public_key: Optional[str] = os.getenv("LANGFUSE_PUBLIC_KEY") + langfuse_secret_key: Optional[str] = os.getenv("LANGFUSE_SECRET_KEY") + langfuse_host: Optional[str] = os.getenv("LANGFUSE_HOST") model_config = SettingsConfigDict(env_file = ".env", extra = "allow") def to_dict(self) -> dict: diff --git a/cognee/infrastructure/llm/openai/adapter.py b/cognee/infrastructure/llm/openai/adapter.py index b2929c6c0..3eb3528e2 100644 --- a/cognee/infrastructure/llm/openai/adapter.py +++ b/cognee/infrastructure/llm/openai/adapter.py @@ -6,26 +6,31 @@ from typing import Type import litellm import instructor from pydantic import BaseModel - +from cognee.shared.data_models import MonitoringTool from cognee.exceptions import InvalidValueError from cognee.infrastructure.llm.llm_interface import LLMInterface from cognee.infrastructure.llm.prompts import read_query_prompt +from cognee.base_config import get_base_config + +if MonitoringTool.LANGFUSE: + from langfuse.decorators import observe class OpenAIAdapter(LLMInterface): name = "OpenAI" model: str api_key: str api_version: str - + """Adapter for OpenAI's GPT-3, GPT=4 API""" + def __init__( - self, - api_key: str, - endpoint: str, - api_version: str, - model: str, - transcription_model: str, - streaming: bool = False, + self, + api_key: str, + endpoint: str, + api_version: str, + model: str, + transcription_model: str, + streaming: bool = False, ): self.aclient = instructor.from_litellm(litellm.acompletion) self.client = instructor.from_litellm(litellm.completion) @@ -35,13 +40,18 @@ class OpenAIAdapter(LLMInterface): self.endpoint = endpoint self.api_version = api_version self.streaming = streaming + base_config = get_base_config() + + + @observe() + async def acreate_structured_output(self, text_input: str, system_prompt: str, + response_model: Type[BaseModel]) -> BaseModel: - async def acreate_structured_output(self, text_input: str, system_prompt: str, response_model: Type[BaseModel]) -> BaseModel: """Generate a response from a user query.""" return await self.aclient.chat.completions.create( - model = self.model, - messages = [{ + model=self.model, + messages=[{ "role": "user", "content": f"""Use the given format to extract information from the following input: {text_input}. """, @@ -49,19 +59,21 @@ class OpenAIAdapter(LLMInterface): "role": "system", "content": system_prompt, }], - api_key = self.api_key, - api_base = self.endpoint, - api_version = self.api_version, - response_model = response_model, - max_retries = 5, + api_key=self.api_key, + api_base=self.endpoint, + api_version=self.api_version, + response_model=response_model, + max_retries=5, ) - def create_structured_output(self, text_input: str, system_prompt: str, response_model: Type[BaseModel]) -> BaseModel: + @observe + def create_structured_output(self, text_input: str, system_prompt: str, + response_model: Type[BaseModel]) -> BaseModel: """Generate a response from a user query.""" return self.client.chat.completions.create( - model = self.model, - messages = [{ + model=self.model, + messages=[{ "role": "user", "content": f"""Use the given format to extract information from the following input: {text_input}. """, @@ -69,11 +81,11 @@ class OpenAIAdapter(LLMInterface): "role": "system", "content": system_prompt, }], - api_key = self.api_key, - api_base = self.endpoint, - api_version = self.api_version, - response_model = response_model, - max_retries = 5, + api_key=self.api_key, + api_base=self.endpoint, + api_version=self.api_version, + response_model=response_model, + max_retries=5, ) def create_transcript(self, input): @@ -86,12 +98,12 @@ class OpenAIAdapter(LLMInterface): # audio_data = audio_file.read() transcription = litellm.transcription( - model = self.transcription_model, - file = Path(input), + model=self.transcription_model, + file=Path(input), api_key=self.api_key, api_base=self.endpoint, api_version=self.api_version, - max_retries = 5, + max_retries=5, ) return transcription @@ -101,8 +113,8 @@ class OpenAIAdapter(LLMInterface): encoded_image = base64.b64encode(image_file.read()).decode('utf-8') return litellm.completion( - model = self.model, - messages = [{ + model=self.model, + messages=[{ "role": "user", "content": [ { @@ -119,8 +131,8 @@ class OpenAIAdapter(LLMInterface): api_key=self.api_key, api_base=self.endpoint, api_version=self.api_version, - max_tokens = 300, - max_retries = 5, + max_tokens=300, + max_retries=5, ) def show_prompt(self, text_input: str, system_prompt: str) -> str: @@ -132,4 +144,4 @@ class OpenAIAdapter(LLMInterface): system_prompt = read_query_prompt(system_prompt) formatted_prompt = f"""System Prompt:\n{system_prompt}\n\nUser Input:\n{text_input}\n""" if system_prompt else None - return formatted_prompt + return formatted_prompt \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index c9ea09006..05c70f053 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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optional = true python-versions = ">=3.8" files = [ - {file = "types-python-dateutil-2.9.0.20241003.tar.gz", hash = "sha256:58cb85449b2a56d6684e41aeefb4c4280631246a0da1a719bdbe6f3fb0317446"}, - {file = "types_python_dateutil-2.9.0.20241003-py3-none-any.whl", hash = "sha256:250e1d8e80e7bbc3a6c99b907762711d1a1cdd00e978ad39cb5940f6f0a87f3d"}, + {file = "types_python_dateutil-2.9.0.20241206-py3-none-any.whl", hash = "sha256:e248a4bc70a486d3e3ec84d0dc30eec3a5f979d6e7ee4123ae043eedbb987f53"}, + {file = "types_python_dateutil-2.9.0.20241206.tar.gz", hash = "sha256:18f493414c26ffba692a72369fea7a154c502646301ebfe3d56a04b3767284cb"}, ] [[package]] @@ -8193,13 +8108,13 @@ files = [ [[package]] name = "unstructured" -version = "0.16.10" +version = "0.16.11" description = "A library that prepares raw documents for downstream ML tasks." optional = true python-versions = "<3.13,>=3.9.0" files = [ - {file = "unstructured-0.16.10-py3-none-any.whl", hash = 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