Fix langfuse

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)
 

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:

cognee/infrastructure/llm/openai/adapter.py

@@ -6,10 +6,14 @@ 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"
@@ -18,6 +22,7 @@ class OpenAIAdapter(LLMInterface):
     api_version: str
 
     """Adapter for OpenAI's GPT-3, GPT=4 API"""
+
     def __init__(
             self,
             api_key: str,
@@ -35,8 +40,13 @@ 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(
@@ -56,7 +66,9 @@ class OpenAIAdapter(LLMInterface):
             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(

pyproject.toml

@@ -46,7 +46,7 @@ aiofiles = "^23.2.1"
 qdrant-client = {version = "^1.9.0", optional = true}
 graphistry = "^0.33.5"
 tenacity = "^8.4.1"
-weaviate-client = {version = "4.6.7", optional = true}
+weaviate-client = {version = "4.9.6", optional = true}
 scikit-learn = "^1.5.0"
 pypdf = "^4.1.0"
 neo4j = {version = "^5.20.0", optional = true}
@@ -74,6 +74,7 @@ deepeval = {version = "^2.0.1", optional = true}
 transformers = "^4.46.3"
 pymilvus = {version = "^2.5.0", optional = true}
 unstructured = { extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], version = "^0.16.10", optional = true }
+httpx = "0.27.0"