fix(load_dotenv): remove load_dotenv()

Author: giuliastf

samples/action-center-hitl-agent/main.py

@@ -1,6 +1,5 @@
 import json
 
-from dotenv import load_dotenv
 from llama_index.core.agent.workflow import AgentWorkflow
 from llama_index.core.workflow import (
     Context,
@@ -10,8 +9,6 @@
 
 from uipath_llamaindex.models import CreateActionEvent
 
-load_dotenv()
-
 llm = OpenAI(model="gpt-4o-mini")
 
 

samples/multi-agent/main.py

@@ -1,6 +1,5 @@
 import json
 
-from dotenv import load_dotenv
 from llama_index.core.agent.workflow import AgentWorkflow
 from llama_index.core.workflow import (
     Context,
@@ -10,8 +9,6 @@
 
 from uipath_llamaindex.models import InvokeProcessEvent
 
-load_dotenv()
-
 llm = OpenAI(model="gpt-4o-mini")
 
 

samples/quickstart-llamacloud/main.py

@@ -1,13 +1,10 @@
 import os
 
-from dotenv import load_dotenv
 from llama_cloud_services import LlamaCloudIndex
 from llama_index.core.agent.workflow import FunctionAgent
 from llama_index.llms.openai import OpenAI
 from pydantic import BaseModel, Field
 
-load_dotenv()
-
 # Initialize LlamaCloud Index connections
 company_policy_index = LlamaCloudIndex(
     name=os.getenv("LLAMACLOUD_INDEX_1_NAME"),

src/uipath_llamaindex/_cli/_utils/_config.py

@@ -8,7 +8,6 @@
 from pathlib import Path
 from typing import Any, Dict, List, Optional
 
-from dotenv import load_dotenv
 from llama_index.core.workflow import Workflow
 
 logger = logging.getLogger(__name__)
@@ -134,19 +133,6 @@ def load_config(self) -> Dict[str, Any]:
                 raise ValueError(
                     f"Missing required fields in llama_index.json: {missing_fields}"
                 )
-
-            if env_file := config.get("env"):
-                env_path = os.path.abspath(os.path.normpath(env_file))
-                if os.path.exists(env_path):
-                    if not load_dotenv(env_path):
-                        # log warning only if dotenv is not empty
-                        if os.path.getsize(env_path) > 0:
-                            logger.warning(
-                                f"Could not load environment variables from {env_path}"
-                            )
-                    else:
-                        logger.debug(f"Loaded environment variables from {env_path}")
-
             self._config = config
             self._load_workflows()
             return config

src/uipath_llamaindex/_cli/cli_run.py

@@ -3,7 +3,6 @@
 from os import environ as env
 from typing import Optional
 
-from dotenv import load_dotenv
 from openinference.instrumentation.llama_index import (
     LlamaIndexInstrumentor,
     get_current_span,
@@ -18,8 +17,6 @@
 from ._utils._config import LlamaIndexConfig
 
 logger = logging.getLogger(__name__)
-load_dotenv()
-
 
 def llamaindex_run_middleware(
     entrypoint: Optional[str], input: Optional[str], resume: bool, **kwargs