openai key error

swarms/tools/stt.py

@@ -98,8 +98,9 @@ class SpeechToText:
 
         # 2. Align Whisper output 🔍
         model_a, metadata = whisperx.load_align_model(
-            language_code=result["language"], device=device
+            language_code=result["language"], device=self.device
         )
+
         result = whisperx.align(
             result["segments"],
             model_a,

swarms/tools/tool_registry.py

@@ -1,7 +1,7 @@
-from .tool import Tool
+from swarms.tools.tool import tool
 from typing import Dict, Callable, Any, List
 
-ToolBuilder = Callable[[Any], Tool]
+ToolBuilder = Callable[[Any], tool]
 FuncToolBuilder = Callable[[], ToolBuilder]
 
 
@@ -13,9 +13,9 @@ class ToolsRegistry:
         print(f"will register {tool_name}")
         self.tools[tool_name] = tool
 
-    def build(self, tool_name, config) -> Tool:
+    def build(self, tool_name, config):
         ret = self.tools[tool_name]()(config)
-        if isinstance(ret, Tool):
+        if isinstance(ret, tool):
             return ret
         raise ValueError(
             "Tool builder {} did not return a Tool instance".format(tool_name)
@@ -36,7 +36,7 @@ def register(tool_name):
     return decorator
 
 
-def build_tool(tool_name: str, config: Any) -> Tool:
+def build_tool(tool_name: str, config: Any) -> tool:
     print(f"will build {tool_name}")
     return tools_registry.build(tool_name, config)
 

swarms/workers/worker.py

@@ -30,7 +30,7 @@ class Worker:
 
     Parameters:
     - `model_name` (str): The name of the language model to be used (default: "gpt-4").
-    - `openai_api_key` (str): The OpenAI API key (optional).
+    - `openai_api_key` (str): The OpenvAI API key (optional).
     - `ai_name` (str): The name of the AI worker.
     - `ai_role` (str): The role of the AI worker.
     - `external_tools` (list): List of external tools (optional).
@@ -142,8 +142,9 @@ class Worker:
         """
         Set up memory for the worker.
         """
+        openai_api_key = os.getenv("OPENAI_API_KEY") or self.openai_api_key
         try:
-            embeddings_model = OpenAIEmbeddings(openai_api_key=self.openai_api_key)
+            embeddings_model = OpenAIEmbeddings(openai_api_key=openai_api_key)
             embedding_size = 1536
             index = faiss.IndexFlatL2(embedding_size)