deprecation

agent.py

@@ -74,7 +74,7 @@ class BoomBot:
             return OpenAIServerModel(
                 model_id=deepinfra_model,
                 api_base="https://api.deepinfra.com/v1/openai",
-                api_key=os.environ["DEEPINFRA_API_KEY"],
+                # api_key=os.environ["DEEPINFRA_API_KEY"],
                 flatten_messages_as_text=True,
                 max_tokens=8192,
                 temperature=0.1,
@@ -84,7 +84,7 @@ class BoomBot:
             return OpenAIServerModel(
                 model_id=meta_model,
                 api_base="https://api.deepinfra.com/v1/openai",
-                api_key=os.environ["DEEPINFRA_API_KEY"],
+                # api_key=os.environ["DEEPINFRA_API_KEY"],
                 flatten_messages_as_text=True,
                 max_tokens=8192,
                 temperature=0.7,

tools.py

@@ -22,7 +22,7 @@ from duckduckgo_search.exceptions import (
     RatelimitException,
     TimeoutException,
 )
-from langchain.document_loaders import (
+from langchain_community.document_loaders import (
     BSHTMLLoader,
     JSONLoader,
     PyPDFLoader,
@@ -288,7 +288,8 @@ class BraveWebSearchTool(Tool):
     }
     output_type = "string"
 
-    api_key = os.getenv("BRAVE_SEARCH_API_KEY")
+    # api_key = os.getenv("BRAVE_SEARCH_API_KEY")
+    api_key=None
     count = 3
     char_limit = 4000  # Adjust based on LLM context window
     tool = BraveSearch.from_api_key(api_key=api_key, search_kwargs={"count": count})
@@ -545,7 +546,7 @@ class DuckDuckGoSearchTool(Tool):
         return f"❌ Failed to retrieve results after {max_retries} retries."
 
 huggingface_ef = embedding_functions.HuggingFaceEmbeddingFunction(
-    api_key=os.environ["HF_TOKEN"], model_name="sentence-transformers/all-mpnet-base-v2"
+    model_name="sentence-transformers/all-mpnet-base-v2"
 )
 SUPPORTED_EXTENSIONS = [
     ".txt",