setup 7.8

setup.py

@@ -4,7 +4,7 @@
 setup(
   name = 'swarms',
   packages = find_packages(exclude=[]),
-  version = '0.7.7',
+  version = '0.7.8',
   license='MIT',
   description = 'Swarms - Pytorch',
   author = 'Kye Gomez',

swarms/tools/agent_tools.py

@@ -36,24 +36,24 @@
 ROOT_DIR = "./data/"
 
 # ---------- Tools ----------
-openai_api_key = os.environ["OPENAI_API_KEY"]
-llm = ChatOpenAI(model_name="gpt-4", temperature=1.0, openai_api_key=openai_api_key)
-
-worker_tools = [
-    DuckDuckGoSearchRun(),
-    WriteFileTool(root_dir=ROOT_DIR),
-    ReadFileTool(root_dir=ROOT_DIR),
-    process_csv,
+# openai_api_key = os.environ["OPENAI_API_KEY"]
+# llm = ChatOpenAI(model_name="gpt-4", temperature=1.0, openai_api_key=openai_api_key)
+
+# worker_tools = [
+#     DuckDuckGoSearchRun(),
+#     WriteFileTool(root_dir=ROOT_DIR),
+#     ReadFileTool(root_dir=ROOT_DIR),
+#     process_csv,
 
-    WebpageQATool(qa_chain=load_qa_with_sources_chain(llm)),
-
-    # Tool(name='terminal', func=Terminal.execute, description='Operates a terminal'),
-    # Tool(name='code_writer', func=CodeWriter(), description='Writes code'),
-    # Tool(name='code_editor', func=CodeEditor(), description='Edits code'),#
-]
-
-# ---------- Vector Store ----------
-embeddings_model = OpenAIEmbeddings()
-embedding_size = 1536
-index = faiss.IndexFlatL2(embedding_size)
-vectorstore = FAISS(embeddings_model.embed_query, index, InMemoryDocstore({}), {})
+#     WebpageQATool(qa_chain=load_qa_with_sources_chain(llm)),
+
+#     # Tool(name='terminal', func=Terminal.execute, description='Operates a terminal'),
+#     # Tool(name='code_writer', func=CodeWriter(), description='Writes code'),
+#     # Tool(name='code_editor', func=CodeEditor(), description='Edits code'),#
+# ]
+
+# # ---------- Vector Store ----------
+# embeddings_model = OpenAIEmbeddings()
+# embedding_size = 1536
+# index = faiss.IndexFlatL2(embedding_size)
+# vectorstore = FAISS(embeddings_model.embed_query, index, InMemoryDocstore({}), {})