diff --git a/.gitignore b/.gitignore
index d142b5e44..d9d1aa3b6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -135,7 +135,7 @@ ipython_config.py
 #   This is especially recommended for binary packages to ensure reproducibility, and is more
 #   commonly ignored for libraries.
 #   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
+poetry.lock
 
 # pdm
 #   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
diff --git a/playground/agents/mm_agent_example.py b/playground/agents/mm_agent_example.py
index 6cedcb298..bc819f522 100644
--- a/playground/agents/mm_agent_example.py
+++ b/playground/agents/mm_agent_example.py
@@ -11,9 +11,7 @@
 img = node.run_img("/image1", "What is this image about?")
 
 chat = node.chat(
-    (
-        "What is your name? Generate a picture of yourself. What is"
-        " this image about?"
-    ),
+    "What is your name? Generate a picture of yourself. What is"
+    " this image about?",
     streaming=True,
 )
diff --git a/playground/agents/multion_agent.py b/playground/agents/multion_agent_example.py
similarity index 100%
rename from playground/agents/multion_agent.py
rename to playground/agents/multion_agent_example.py
diff --git a/playground/agents/perimeter_defense_agent.py b/playground/agents/perimeter_defense_agent_example.py
similarity index 100%
rename from playground/agents/perimeter_defense_agent.py
rename to playground/agents/perimeter_defense_agent_example.py
diff --git a/playground/agents/swarm_protocol.py b/playground/agents/swarm_protocol_example.py
similarity index 100%
rename from playground/agents/swarm_protocol.py
rename to playground/agents/swarm_protocol_example.py
diff --git a/playground/agents/tool_agent.py b/playground/agents/tool_agent_example.py
similarity index 100%
rename from playground/agents/tool_agent.py
rename to playground/agents/tool_agent_example.py
diff --git a/playground/demos/autobloggen_example.py b/playground/demos/autobloggen_example.py
index 09b02674a..836f5cc00 100644
--- a/playground/demos/autobloggen_example.py
+++ b/playground/demos/autobloggen_example.py
@@ -126,10 +126,8 @@ def run(self):
             except Exception as error:
                 print(
                     colored(
-                        (
-                            "Error while running AutoBlogGenSwarm"
-                            f" {error}"
-                        ),
+                        "Error while running AutoBlogGenSwarm"
+                        f" {error}",
                         "red",
                     )
                 )
diff --git a/playground/demos/autotemp/blog_gen_example.py b/playground/demos/autotemp/blog_gen_example.py
index fe2a23175..4788556a9 100644
--- a/playground/demos/autotemp/blog_gen_example.py
+++ b/playground/demos/autotemp/blog_gen_example.py
@@ -47,10 +47,8 @@ def run_workflow(self):
             topic_output = topic_result.generations[0][0].text
             print(
                 colored(
-                    (
-                        "\nTopic Selection Task"
-                        f" Output:\n----------------------------\n{topic_output}\n"
-                    ),
+                    "\nTopic Selection Task"
+                    f" Output:\n----------------------------\n{topic_output}\n",
                     "white",
                 )
             )
@@ -72,10 +70,8 @@ def run_workflow(self):
             initial_draft_output = auto_temp_output  # Assuming AutoTemp.run returns the best output directly
             print(
                 colored(
-                    (
-                        "\nInitial Draft"
-                        f" Output:\n----------------------------\n{initial_draft_output}\n"
-                    ),
+                    "\nInitial Draft"
+                    f" Output:\n----------------------------\n{initial_draft_output}\n",
                     "white",
                 )
             )
@@ -88,10 +84,8 @@ def run_workflow(self):
             review_output = review_result.generations[0][0].text
             print(
                 colored(
-                    (
-                        "\nReview"
-                        f" Output:\n----------------------------\n{review_output}\n"
-                    ),
+                    "\nReview"
+                    f" Output:\n----------------------------\n{review_output}\n",
                     "white",
                 )
             )
@@ -110,10 +104,8 @@ def run_workflow(self):
             ].text
             print(
                 colored(
-                    (
-                        "\nDistribution"
-                        f" Output:\n----------------------------\n{distribution_output}\n"
-                    ),
+                    "\nDistribution"
+                    f" Output:\n----------------------------\n{distribution_output}\n",
                     "white",
                 )
             )
@@ -122,10 +114,8 @@ def run_workflow(self):
             final_blog_content = f"{initial_draft_output}\n\n{review_output}\n\n{distribution_output}"
             print(
                 colored(
-                    (
-                        "\nFinal Blog"
-                        f" Content:\n----------------------------\n{final_blog_content}\n"
-                    ),
+                    "\nFinal Blog"
+                    f" Content:\n----------------------------\n{final_blog_content}\n",
                     "green",
                 )
             )
diff --git a/playground/demos/developer_swarm/main_example.py b/playground/demos/developer_swarm/main_example.py
index 0a2e2a958..c930f3e9a 100644
--- a/playground/demos/developer_swarm/main_example.py
+++ b/playground/demos/developer_swarm/main_example.py
@@ -33,7 +33,7 @@
 """
 
 # Initialize the language model
-llm = OpenAIChat(openai_api_key=api_key, max_tokens=5000)
+llm = OpenAIChat(openai_api_key=api_key, max_tokens=4096)
 
 
 # Documentation agent
diff --git a/playground/demos/grupa/app_example.py b/playground/demos/grupa/app_example.py
index ff5fc27dd..8b55a80d3 100644
--- a/playground/demos/grupa/app_example.py
+++ b/playground/demos/grupa/app_example.py
@@ -95,10 +95,8 @@ def feature_codebase_product_agentprompt(
 )
 print(
     colored(
-        (
-            "---------------------------- Product Manager Plan:"
-            f" {product_manager_out}"
-        ),
+        "---------------------------- Product Manager Plan:"
+        f" {product_manager_out}",
         "cyan",
     )
 )
@@ -111,10 +109,8 @@ def feature_codebase_product_agentprompt(
 )
 print(
     colored(
-        (
-            "--------------------- Feature Implementer Code logic:"
-            f" {agent1_out}"
-        ),
+        "--------------------- Feature Implementer Code logic:"
+        f" {agent1_out}",
         "cyan",
     )
 )
@@ -125,10 +121,8 @@ def feature_codebase_product_agentprompt(
 )
 print(
     colored(
-        (
-            "---------------------------- Tests for the logic:"
-            f" {tester_agent_out}"
-        ),
+        "---------------------------- Tests for the logic:"
+        f" {tester_agent_out}",
         "green",
     )
 )
@@ -140,10 +134,8 @@ def feature_codebase_product_agentprompt(
 )
 print(
     colored(
-        (
-            "---------------------------- Documentation for the"
-            f" logic: {documenter_agent_out}"
-        ),
+        "---------------------------- Documentation for the"
+        f" logic: {documenter_agent_out}",
         "yellow",
     )
 )
diff --git a/playground/demos/personal_stylist/personal_stylist_example.py b/playground/demos/personal_stylist/personal_stylist_example.py
index dde64cb7b..9f794c012 100644
--- a/playground/demos/personal_stylist/personal_stylist_example.py
+++ b/playground/demos/personal_stylist/personal_stylist_example.py
@@ -66,43 +66,33 @@
 
 # Run agents with respective tasks
 haircut_suggestions = haircut_stylist_agent.run(
-    (
-        "Suggest suitable haircuts for this user, considering their"
-        " face shape and hair type."
-    ),
+    "Suggest suitable haircuts for this user, considering their"
+    " face shape and hair type.",
     user_selfie,
 )
 
 # Run Makeup or Beard agent based on gender
 if user_gender == "woman":
     makeup_suggestions = makeup_or_beard_stylist_agent.run(
-        (
-            "Recommend makeup styles for this user, complementing"
-            " their features."
-        ),
+        "Recommend makeup styles for this user, complementing"
+        " their features.",
         user_selfie,
     )
 elif user_gender == "man":
     beard_suggestions = makeup_or_beard_stylist_agent.run(
-        (
-            "Provide beard styling advice for this user, considering"
-            " their face shape."
-        ),
+        "Provide beard styling advice for this user, considering"
+        " their face shape.",
         user_selfie,
     )
 
 clothing_suggestions = clothing_stylist_agent.run(
-    (
-        "Match clothing styles and colors for this user, using color"
-        " matching principles."
-    ),
+    "Match clothing styles and colors for this user, using color"
+    " matching principles.",
     clothes_image,
 )
 
 accessories_suggestions = accessories_stylist_agent.run(
-    (
-        "Suggest accessories to complement this user's outfit,"
-        " considering the overall style."
-    ),
+    "Suggest accessories to complement this user's outfit,"
+    " considering the overall style.",
     clothes_image,
 )
diff --git a/playground/demos/simple_rag/simple_rag.py b/playground/demos/simple_rag/simple_rag_example.py
similarity index 100%
rename from playground/demos/simple_rag/simple_rag.py
rename to playground/demos/simple_rag/simple_rag_example.py
diff --git a/playground/demos/urban_planning/urban_planning_example.py b/playground/demos/urban_planning/urban_planning_example.py
index 2a52ced70..0ce490735 100644
--- a/playground/demos/urban_planning/urban_planning_example.py
+++ b/playground/demos/urban_planning/urban_planning_example.py
@@ -68,10 +68,8 @@
 )
 workflow.add(
     final_plan_agent,
-    (
-        "Generate the final urban improvement plan based on all"
-        " previous agent's findings"
-    ),
+    "Generate the final urban improvement plan based on all"
+    " previous agent's findings",
 )
 # Run the workflow for individual analysis tasks
 
diff --git a/playground/memory/qdrant.py b/playground/memory/qdrant_example.py
similarity index 100%
rename from playground/memory/qdrant.py
rename to playground/memory/qdrant_example.py
diff --git a/playground/models/azure_openai.py b/playground/models/azure_openai_example.py
similarity index 100%
rename from playground/models/azure_openai.py
rename to playground/models/azure_openai_example.py
diff --git a/playground/models/miqu.py b/playground/models/miqu_example.py
similarity index 100%
rename from playground/models/miqu.py
rename to playground/models/miqu_example.py
diff --git a/playground/structs/agent_basic_customize.py b/playground/structs/agent_basic_customize_example.py
similarity index 100%
rename from playground/structs/agent_basic_customize.py
rename to playground/structs/agent_basic_customize_example.py
diff --git a/playground/structs/agent_with_longterm_memory.py b/playground/structs/agent_with_longterm_memory_example.py
similarity index 100%
rename from playground/structs/agent_with_longterm_memory.py
rename to playground/structs/agent_with_longterm_memory_example.py
diff --git a/playground/structs/basic_agent_with_azure_openai.py b/playground/structs/basic_agent_with_azure_openai_example.py
similarity index 100%
rename from playground/structs/basic_agent_with_azure_openai.py
rename to playground/structs/basic_agent_with_azure_openai_example.py
diff --git a/playground/structs/debate_example.py b/playground/structs/debate_example.py
index 7cf0290bf..6332569ea 100644
--- a/playground/structs/debate_example.py
+++ b/playground/structs/debate_example.py
@@ -140,10 +140,12 @@ def bid(self) -> str:
 def generate_character_description(character_name):
     character_specifier_prompt = [
         player_descriptor_system_message,
-        HumanMessage(content=f"""{game_description}
+        HumanMessage(
+            content=f"""{game_description}
             Please reply with a creative description of the presidential candidate, {character_name}, in {word_limit} words or less, that emphasizes their personalities.
             Speak directly to {character_name}.
-            Do not add anything else."""),
+            Do not add anything else."""
+        ),
     ]
     character_description = ChatOpenAI(temperature=1.0)(
         character_specifier_prompt
@@ -164,7 +166,8 @@ def generate_character_header(character_name, character_description):
 def generate_character_system_message(
     character_name, character_header
 ):
-    return SystemMessage(content=f"""{character_header}
+    return SystemMessage(
+        content=f"""{character_header}
 You will speak in the style of {character_name}, and exaggerate their personality.
 You will come up with creative ideas related to {topic}.
 Do not say the same things over and over again.
@@ -176,7 +179,8 @@ def generate_character_system_message(
 Stop speaking the moment you finish speaking from your perspective.
 Never forget to keep your response to {word_limit} words!
 Do not add anything else.
-    """)
+    """
+    )
 
 
 character_descriptions = [
@@ -261,7 +265,8 @@ def generate_character_bidding_template(character_header):
 
 topic_specifier_prompt = [
     SystemMessage(content="You can make a task more specific."),
-    HumanMessage(content=f"""{game_description}
+    HumanMessage(
+        content=f"""{game_description}
 
         You are the debate moderator.
         Please make the debate topic more specific.
@@ -269,7 +274,8 @@ def generate_character_bidding_template(character_header):
         Be creative and imaginative.
         Please reply with the specified topic in {word_limit} words or less.
         Speak directly to the presidential candidates: {*character_names,}.
-        Do not add anything else."""),
+        Do not add anything else."""
+    ),
 ]
 specified_topic = ChatOpenAI(temperature=1.0)(
     topic_specifier_prompt
diff --git a/playground/structs/kyle_hackathon.py b/playground/structs/kyle_hackathon_example.py
similarity index 100%
rename from playground/structs/kyle_hackathon.py
rename to playground/structs/kyle_hackathon_example.py
diff --git a/playground/structs/majority_voting.py b/playground/structs/majority_voting_example.py
similarity index 100%
rename from playground/structs/majority_voting.py
rename to playground/structs/majority_voting_example.py
diff --git a/playground/structs/multi_modal_rag_agent.py b/playground/structs/multi_modal_rag_agent_example.py
similarity index 100%
rename from playground/structs/multi_modal_rag_agent.py
rename to playground/structs/multi_modal_rag_agent_example.py
diff --git a/playground/utils/pandas_to_str.py b/playground/utils/pandas_to_str_example.py
similarity index 50%
rename from playground/utils/pandas_to_str.py
rename to playground/utils/pandas_to_str_example.py
index fccf84ebb..151436f63 100644
--- a/playground/utils/pandas_to_str.py
+++ b/playground/utils/pandas_to_str_example.py
@@ -2,10 +2,12 @@
 from swarms import dataframe_to_text
 
 # # Example usage:
-df = pd.DataFrame({
-    'A': [1, 2, 3],
-    'B': [4, 5, 6],
-    'C': [7, 8, 9],
-})
+df = pd.DataFrame(
+    {
+        "A": [1, 2, 3],
+        "B": [4, 5, 6],
+        "C": [7, 8, 9],
+    }
+)
 
 print(dataframe_to_text(df))
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 000000000..ba05cfc9f
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,6351 @@
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+
+[[package]]
+name = "absl-py"
+version = "2.1.0"
+description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"},
+    {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
+]
+
+[[package]]
+name = "accelerate"
+version = "0.27.2"
+description = "Accelerate"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "accelerate-0.27.2-py3-none-any.whl", hash = "sha256:a818dd27b9ba24e9eb5030d1b285cf4cdd1b41bbfa675fb4eb2477ddfc097074"},
+    {file = "accelerate-0.27.2.tar.gz", hash = "sha256:cc715fe9a8bc7a286259bfb6d65fb78363badd3371e7cbda4e4a4ef34a0010aa"},
+]
+
+[package.dependencies]
+huggingface-hub = "*"
+numpy = ">=1.17"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = ">=0.3.1"
+torch = ">=1.10.0"
+
+[package.extras]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed (<0.13.0)", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.1.15,<0.2.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.1.15,<0.2.0)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
+testing = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+
+[[package]]
+name = "aiohttp"
+version = "3.9.3"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:939677b61f9d72a4fa2a042a5eee2a99a24001a67c13da113b2e30396567db54"},
+    {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1f5cd333fcf7590a18334c90f8c9147c837a6ec8a178e88d90a9b96ea03194cc"},
+    {file = "aiohttp-3.9.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:82e6aa28dd46374f72093eda8bcd142f7771ee1eb9d1e223ff0fa7177a96b4a5"},
+    {file = "aiohttp-3.9.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f56455b0c2c7cc3b0c584815264461d07b177f903a04481dfc33e08a89f0c26b"},
+    {file = "aiohttp-3.9.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bca77a198bb6e69795ef2f09a5f4c12758487f83f33d63acde5f0d4919815768"},
+    {file = "aiohttp-3.9.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e083c285857b78ee21a96ba1eb1b5339733c3563f72980728ca2b08b53826ca5"},
+    {file = "aiohttp-3.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab40e6251c3873d86ea9b30a1ac6d7478c09277b32e14745d0d3c6e76e3c7e29"},
+    {file = "aiohttp-3.9.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:df822ee7feaaeffb99c1a9e5e608800bd8eda6e5f18f5cfb0dc7eeb2eaa6bbec"},
+    {file = "aiohttp-3.9.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:acef0899fea7492145d2bbaaaec7b345c87753168589cc7faf0afec9afe9b747"},
+    {file = "aiohttp-3.9.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:cd73265a9e5ea618014802ab01babf1940cecb90c9762d8b9e7d2cc1e1969ec6"},
+    {file = "aiohttp-3.9.3-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:a78ed8a53a1221393d9637c01870248a6f4ea5b214a59a92a36f18151739452c"},
+    {file = "aiohttp-3.9.3-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:6b0e029353361f1746bac2e4cc19b32f972ec03f0f943b390c4ab3371840aabf"},
+    {file = "aiohttp-3.9.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7cf5c9458e1e90e3c390c2639f1017a0379a99a94fdfad3a1fd966a2874bba52"},
+    {file = "aiohttp-3.9.3-cp310-cp310-win32.whl", hash = "sha256:3e59c23c52765951b69ec45ddbbc9403a8761ee6f57253250c6e1536cacc758b"},
+    {file = "aiohttp-3.9.3-cp310-cp310-win_amd64.whl", hash = "sha256:055ce4f74b82551678291473f66dc9fb9048a50d8324278751926ff0ae7715e5"},
+    {file = "aiohttp-3.9.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6b88f9386ff1ad91ace19d2a1c0225896e28815ee09fc6a8932fded8cda97c3d"},
+    {file = "aiohttp-3.9.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c46956ed82961e31557b6857a5ca153c67e5476972e5f7190015018760938da2"},
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+    {file = "aiohttp-3.9.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dad46e6f620574b3b4801c68255492e0159d1712271cc99d8bdf35f2043ec266"},
+    {file = "aiohttp-3.9.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5ed3e046ea7b14938112ccd53d91c1539af3e6679b222f9469981e3dac7ba1ce"},
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+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:84fc30f71689d7fc9168b92788abc977dc8cefa806909565fc2951d02f6b7d57"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4aa9741085f635934f3a2583e16fcf62ba835719a8b2b28fb2917bb0537c1dfa"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:206a55215e6d05dbc6c98ce598a59e6fbd0c493e2de4ea6cc2f4934d5a18d130"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07574b007ee20e5c375a8fe4a0789fad26db905f9813be0f9fef5a68080de559"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5a2e2433eb9344a163aced6a5f6c9222c0786e5a9e9cac2c89f0b28433f56e23"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:6ad6d10ed9b67a382b45f29ea028f92d25bc0bc1daf6c5b801b90b5aa70fb9ec"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:6fe79f998a4052d79e1c30eeb7d6c1c1056ad33300f682465e1b4e9b5a188b78"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a825ec844298c791fd28ed14ed1bffc56a98d15b8c58a20e0e08c1f5f2bea1be"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8619d6915b3b0b34420cf9b2bb6d81ef59d984cb0fde7544e9ece32b4b3043c3"},
+    {file = "yarl-1.9.4-cp38-cp38-win32.whl", hash = "sha256:686a0c2f85f83463272ddffd4deb5e591c98aac1897d65e92319f729c320eece"},
+    {file = "yarl-1.9.4-cp38-cp38-win_amd64.whl", hash = "sha256:a00862fb23195b6b8322f7d781b0dc1d82cb3bcac346d1e38689370cc1cc398b"},
+    {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:604f31d97fa493083ea21bd9b92c419012531c4e17ea6da0f65cacdcf5d0bd27"},
+    {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8a854227cf581330ffa2c4824d96e52ee621dd571078a252c25e3a3b3d94a1b1"},
+    {file = "yarl-1.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ba6f52cbc7809cd8d74604cce9c14868306ae4aa0282016b641c661f981a6e91"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a6327976c7c2f4ee6816eff196e25385ccc02cb81427952414a64811037bbc8b"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8397a3817d7dcdd14bb266283cd1d6fc7264a48c186b986f32e86d86d35fbac5"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23d32a2594cb5d565d358a92e151315d1b2268bc10f4610d098f96b147370136"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ddb2a5c08a4eaaba605340fdee8fc08e406c56617566d9643ad8bf6852778fc7"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:26a1dc6285e03f3cc9e839a2da83bcbf31dcb0d004c72d0730e755b33466c30e"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:18580f672e44ce1238b82f7fb87d727c4a131f3a9d33a5e0e82b793362bf18b4"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:29e0f83f37610f173eb7e7b5562dd71467993495e568e708d99e9d1944f561ec"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:1f23e4fe1e8794f74b6027d7cf19dc25f8b63af1483d91d595d4a07eca1fb26c"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
+    {file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
+    {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
+[[package]]
+name = "zipp"
+version = "3.17.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
+    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = "~3.11.0"
+content-hash = "6d82a37027cb5ee7868dc5540ba4672eebaf0cbc90b2123496b469536937dd60"
diff --git a/pyproject.toml b/pyproject.toml
index 03304a3b2..8d3bcc439 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -10,7 +10,7 @@ description = "Swarms - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]
 homepage = "https://github.com/kyegomez/swarms"
-documentation = "https://swarms.apac.ai"  
+documentation = "https://swarms.apac.ai"
 readme = "README.md"  # Assuming you have a README.md
 repository = "https://github.com/kyegomez/swarms"
 keywords = ["artificial intelligence", "deep learning", "optimizers", "Prompt Engineering", "swarms", "agents"]
@@ -24,16 +24,16 @@ classifiers = [
 
 
 [tool.poetry.dependencies]
-python = "^3.6.1"
+python = "~3.11.0"
 torch = "2.1.1"
 transformers = "4.37.1"
 openai = "0.28.0"
-langchain = "0.0.333"
+langchain = "~0.1"
 asyncio = "3.4.3"
 einops = "0.7.0"
 google-generativeai = "0.3.1"
 langchain-experimental = "0.0.10"
-tensorflow = "*"
+tensorflow = "^2.12.0"
 weaviate-client = "3.25.3"
 opencv-python-headless = "4.8.1.78"
 faiss-cpu = "1.7.4"
@@ -75,6 +75,12 @@ supervision = "*"
 scikit-image = "*"
 pinecone-client = "*"
 roboflow = "*"
+pre-commit = "^3.6.2"
+pylint = "^3.1.0"
+pytest = "^8.0.2"
+numpy = "^1.26.4"
+langchain-core = "^0.1.28"
+langchain-community = "^0.0.24"
 
 
 [tool.poetry.group.lint.dependencies]
diff --git a/swarms/agents/worker_agent.py b/swarms/agents/worker_agent.py
index c0e7f464f..6caf6088e 100644
--- a/swarms/agents/worker_agent.py
+++ b/swarms/agents/worker_agent.py
@@ -2,9 +2,9 @@
 from typing import List
 
 import faiss
-from langchain.docstore import InMemoryDocstore
-from langchain.embeddings import OpenAIEmbeddings
-from langchain.vectorstores import FAISS
+from langchain_community.docstore import InMemoryDocstore
+from langchain_community.embeddings import OpenAIEmbeddings
+from langchain_community.vectorstores import FAISS
 from langchain_experimental.autonomous_agents import AutoGPT
 
 from swarms.tools.tool import BaseTool
diff --git a/swarms/memory/lanchain_chroma.py b/swarms/memory/lanchain_chroma.py
index 95a2e9e3c..a053ba525 100644
--- a/swarms/memory/lanchain_chroma.py
+++ b/swarms/memory/lanchain_chroma.py
@@ -3,9 +3,9 @@
 
 from langchain.chains import RetrievalQA
 from langchain.chains.question_answering import load_qa_chain
-from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain_community.embeddings import OpenAIEmbeddings
 from langchain.text_splitter import CharacterTextSplitter
-from langchain.vectorstores import Chroma
+from langchain_community.vectorstores import Chroma
 
 from swarms.models.openai_models import OpenAIChat
 
diff --git a/swarms/models/dalle3.py b/swarms/models/dalle3.py
index 6b225b496..9fa584255 100644
--- a/swarms/models/dalle3.py
+++ b/swarms/models/dalle3.py
@@ -168,10 +168,8 @@ def __call__(self, task: str):
             # Handling exceptions and printing the errors details
             print(
                 colored(
-                    (
-                        f"Error running Dalle3: {error} try"
-                        " optimizing your api key and or try again"
-                    ),
+                    f"Error running Dalle3: {error} try"
+                    " optimizing your api key and or try again",
                     "red",
                 )
             )
@@ -235,10 +233,8 @@ def create_variations(self, img: str):
         except (Exception, openai.OpenAIError) as error:
             print(
                 colored(
-                    (
-                        f"Error running Dalle3: {error} try"
-                        " optimizing your api key and or try again"
-                    ),
+                    f"Error running Dalle3: {error} try"
+                    " optimizing your api key and or try again",
                     "red",
                 )
             )
@@ -321,20 +317,16 @@ def process_batch_concurrently(
                 except Exception as error:
                     print(
                         colored(
-                            (
-                                f"Error running Dalle3: {error} try"
-                                " optimizing your api key and or try"
-                                " again"
-                            ),
+                            f"Error running Dalle3: {error} try"
+                            " optimizing your api key and or try"
+                            " again",
                             "red",
                         )
                     )
                     print(
                         colored(
-                            (
-                                "Error running Dalle3:"
-                                f" {error.http_status}"
-                            ),
+                            "Error running Dalle3:"
+                            f" {error.http_status}",
                             "red",
                         )
                     )
diff --git a/swarms/models/fuyu.py b/swarms/models/fuyu.py
index e02e53a54..7a0ab8ad9 100644
--- a/swarms/models/fuyu.py
+++ b/swarms/models/fuyu.py
@@ -97,11 +97,9 @@ def run(self, text: str = None, img: str = None, *args, **kwargs):
         except Exception as error:
             print(
                 colored(
-                    (
-                        "Error in"
-                        f" {self.__class__.__name__} pipeline:"
-                        f" {error}"
-                    ),
+                    "Error in"
+                    f" {self.__class__.__name__} pipeline:"
+                    f" {error}",
                     "red",
                 )
             )
diff --git a/swarms/models/huggingface.py b/swarms/models/huggingface.py
index 957b398fc..6dc88cb76 100644
--- a/swarms/models/huggingface.py
+++ b/swarms/models/huggingface.py
@@ -268,11 +268,9 @@ def run(self, task: str, *args, **kwargs):
         except Exception as e:
             print(
                 colored(
-                    (
-                        "HuggingfaceLLM could not generate text"
-                        f" because of error: {e}, try optimizing your"
-                        " arguments"
-                    ),
+                    "HuggingfaceLLM could not generate text"
+                    f" because of error: {e}, try optimizing your"
+                    " arguments",
                     "red",
                 )
             )
diff --git a/swarms/models/huggingface_pipeline.py b/swarms/models/huggingface_pipeline.py
index e8d1afb95..a7d43284d 100644
--- a/swarms/models/huggingface_pipeline.py
+++ b/swarms/models/huggingface_pipeline.py
@@ -67,11 +67,9 @@ def run(self, task: str, *args, **kwargs) -> str:
         except Exception as error:
             print(
                 colored(
-                    (
-                        "Error in"
-                        f" {self.__class__.__name__} pipeline:"
-                        f" {error}"
-                    ),
+                    "Error in"
+                    f" {self.__class__.__name__} pipeline:"
+                    f" {error}",
                     "red",
                 )
             )
diff --git a/swarms/models/idefics.py b/swarms/models/idefics.py
index cc6542217..466444666 100644
--- a/swarms/models/idefics.py
+++ b/swarms/models/idefics.py
@@ -165,11 +165,9 @@ def run(
         except Exception as error:
             print(
                 colored(
-                    (
-                        "Error in"
-                        f" {self.__class__.__name__} pipeline:"
-                        f" {error}"
-                    ),
+                    "Error in"
+                    f" {self.__class__.__name__} pipeline:"
+                    f" {error}",
                     "red",
                 )
             )
diff --git a/swarms/models/kosmos_two.py b/swarms/models/kosmos_two.py
index 0399f9439..b293555e6 100644
--- a/swarms/models/kosmos_two.py
+++ b/swarms/models/kosmos_two.py
@@ -88,9 +88,10 @@ def run(self, task: str, image: str, *args, **kwargs):
             skip_special_tokens=True,
         )[0]
 
-        processed_text, entities = (
-            self.processor.post_process_generation(generated_texts)
-        )
+        (
+            processed_text,
+            entities,
+        ) = self.processor.post_process_generation(generated_texts)
 
         return processed_text, entities
 
diff --git a/swarms/models/medical_sam.py b/swarms/models/medical_sam.py
index 8d096ba5e..8877bb223 100644
--- a/swarms/models/medical_sam.py
+++ b/swarms/models/medical_sam.py
@@ -115,12 +115,13 @@ def run(self, img: np.ndarray, box: np.ndarray) -> np.ndarray:
         if len(box_torch.shape) == 2:
             box_torch = box_torch[:, None, :]
 
-        sparse_embeddings, dense_embeddings = (
-            self.model.prompt_encoder(
-                points=None,
-                boxes=box_torch,
-                masks=None,
-            )
+        (
+            sparse_embeddings,
+            dense_embeddings,
+        ) = self.model.prompt_encoder(
+            points=None,
+            boxes=box_torch,
+            masks=None,
         )
 
         low_res_logits, _ = self.model.mask_decoder(
diff --git a/swarms/models/openai_function_caller.py b/swarms/models/openai_function_caller.py
index e68227936..b21937066 100644
--- a/swarms/models/openai_function_caller.py
+++ b/swarms/models/openai_function_caller.py
@@ -226,10 +226,8 @@ def pretty_print_conversation(self, messages):
             elif message["role"] == "tool":
                 print(
                     colored(
-                        (
-                            f"function ({message['name']}):"
-                            f" {message['content']}\n"
-                        ),
+                        f"function ({message['name']}):"
+                        f" {message['content']}\n",
                         role_to_color[message["role"]],
                     )
                 )
diff --git a/swarms/models/openai_models.py b/swarms/models/openai_models.py
index 2ee56fdbc..90f76734b 100644
--- a/swarms/models/openai_models.py
+++ b/swarms/models/openai_models.py
@@ -239,9 +239,9 @@ def lc_attributes(self) -> dict[str, Any]:
             attributes["openai_api_base"] = self.openai_api_base
 
         if self.openai_organization != "":
-            attributes["openai_organization"] = (
-                self.openai_organization
-            )
+            attributes[
+                "openai_organization"
+            ] = self.openai_organization
 
         if self.openai_proxy != "":
             attributes["openai_proxy"] = self.openai_proxy
@@ -647,7 +647,10 @@ def _invocation_params(self) -> dict[str, Any]:
         if self.openai_proxy:
             import openai
 
-            openai.proxy = {"http": self.openai_proxy, "https": self.openai_proxy}  # type: ignore[assignment]  # noqa: E501
+            openai.proxy = {
+                "http": self.openai_proxy,
+                "https": self.openai_proxy,
+            }  # type: ignore[assignment]  # noqa: E501
         return {**openai_creds, **self._default_params}
 
     @property
@@ -963,7 +966,10 @@ def validate_environment(cls, values: dict) -> dict:
             if openai_organization:
                 openai.organization = openai_organization
             if openai_proxy:
-                openai.proxy = {"http": openai_proxy, "https": openai_proxy}  # type: ignore[assignment]  # noqa: E501
+                openai.proxy = {
+                    "http": openai_proxy,
+                    "https": openai_proxy,
+                }  # type: ignore[assignment]  # noqa: E501
         except ImportError:
             raise ImportError(
                 "Could not import openai python package. "
diff --git a/swarms/models/ssd_1b.py b/swarms/models/ssd_1b.py
index 4479c8662..8f700a21d 100644
--- a/swarms/models/ssd_1b.py
+++ b/swarms/models/ssd_1b.py
@@ -144,10 +144,8 @@ def __call__(self, task: str, neg_prompt: str):
             # Handling exceptions and printing the errors details
             print(
                 colored(
-                    (
-                        f"Error running SSD1B: {error} try optimizing"
-                        " your api key and or try again"
-                    ),
+                    f"Error running SSD1B: {error} try optimizing"
+                    " your api key and or try again",
                     "red",
                 )
             )
@@ -234,20 +232,16 @@ def process_batch_concurrently(
                 except Exception as error:
                     print(
                         colored(
-                            (
-                                f"Error running SSD1B: {error} try"
-                                " optimizing your api key and or try"
-                                " again"
-                            ),
+                            f"Error running SSD1B: {error} try"
+                            " optimizing your api key and or try"
+                            " again",
                             "red",
                         )
                     )
                     print(
                         colored(
-                            (
-                                "Error running SSD1B:"
-                                f" {error.http_status}"
-                            ),
+                            "Error running SSD1B:"
+                            f" {error.http_status}",
                             "red",
                         )
                     )
diff --git a/swarms/prompts/base.py b/swarms/prompts/base.py
index d104f4682..5730f929d 100644
--- a/swarms/prompts/base.py
+++ b/swarms/prompts/base.py
@@ -8,7 +8,7 @@
 from swarms.utils.serializable import Serializable
 
 if TYPE_CHECKING:
-    from langchain.prompts.chat import ChatPromptTemplate
+    from langchain_core.prompts import ChatPromptTemplate
 
 
 def get_buffer_string(
@@ -86,7 +86,7 @@ def lc_serializable(self) -> bool:
         return True
 
     def __add__(self, other: Any) -> ChatPromptTemplate:
-        from langchain.prompts.chat import ChatPromptTemplate
+        from langchain_core.prompts import ChatPromptTemplate
 
         prompt = ChatPromptTemplate(messages=[self])
         return prompt + other
diff --git a/swarms/prompts/worker_prompt.py b/swarms/prompts/worker_prompt.py
index 08636516b..2af3defd9 100644
--- a/swarms/prompts/worker_prompt.py
+++ b/swarms/prompts/worker_prompt.py
@@ -62,6 +62,8 @@ def worker_tools_sop_promp(name: str, memory: str, time=time):
     [{memory}]
     
     Human: Determine which next command to use, and respond using the format specified above:
-    """.format(name=name, time=time, memory=memory)
+    """.format(
+        name=name, time=time, memory=memory
+    )
 
     return str(out)
diff --git a/swarms/structs/agent.py b/swarms/structs/agent.py
index 9d2a5e1a9..67efea980 100644
--- a/swarms/structs/agent.py
+++ b/swarms/structs/agent.py
@@ -471,10 +471,8 @@ def activate_autonomous_agent(self):
         try:
             print(
                 colored(
-                    (
-                        "Initializing Autonomous Agent"
-                        f" {self.agent_name}..."
-                    ),
+                    "Initializing Autonomous Agent"
+                    f" {self.agent_name}...",
                     "yellow",
                 )
             )
@@ -494,10 +492,8 @@ def activate_autonomous_agent(self):
         except Exception as error:
             print(
                 colored(
-                    (
-                        "Error activating autonomous agent. Try"
-                        " optimizing your parameters..."
-                    ),
+                    "Error activating autonomous agent. Try"
+                    " optimizing your parameters...",
                     "red",
                 )
             )
@@ -729,10 +725,8 @@ def run(
             if self.autosave:
                 print(
                     colored(
-                        (
-                            "Autosaving agent state to"
-                            f" {self.saved_state_path}"
-                        ),
+                        "Autosaving agent state to"
+                        f" {self.saved_state_path}",
                         "green",
                     )
                 )
@@ -843,10 +837,8 @@ async def run_concurrent(self, tasks: List[str], **kwargs):
         except Exception as error:
             print(
                 colored(
-                    (
-                        f"Error running agent: {error} while running"
-                        " concurrently"
-                    ),
+                    f"Error running agent: {error} while running"
+                    " concurrently",
                     "red",
                 )
             )
diff --git a/swarms/structs/concurrent_workflow.py b/swarms/structs/concurrent_workflow.py
index f36df3b37..3fdd3ed00 100644
--- a/swarms/structs/concurrent_workflow.py
+++ b/swarms/structs/concurrent_workflow.py
@@ -35,9 +35,9 @@ class ConcurrentWorkflow(BaseStructure):
     max_loops: int = 1
     max_workers: int = 5
     autosave: bool = False
-    saved_state_filepath: Optional[str] = (
-        "runs/concurrent_workflow.json"
-    )
+    saved_state_filepath: Optional[
+        str
+    ] = "runs/concurrent_workflow.json"
     print_results: bool = False
     return_results: bool = False
     use_processes: bool = False
diff --git a/swarms/structs/conversation.py b/swarms/structs/conversation.py
index 4f426cbf0..420f46bea 100644
--- a/swarms/structs/conversation.py
+++ b/swarms/structs/conversation.py
@@ -317,10 +317,8 @@ def pretty_print_conversation(self, messages):
             elif message["role"] == "tool":
                 print(
                     colored(
-                        (
-                            f"function ({message['name']}):"
-                            f" {message['content']}\n"
-                        ),
+                        f"function ({message['name']}):"
+                        f" {message['content']}\n",
                         role_to_color[message["role"]],
                     )
                 )
diff --git a/swarms/structs/multi_agent_collab.py b/swarms/structs/multi_agent_collab.py
index 8359068d2..e66035832 100644
--- a/swarms/structs/multi_agent_collab.py
+++ b/swarms/structs/multi_agent_collab.py
@@ -317,9 +317,9 @@ def performance(self):
         """Tracks and reports the performance of each agent"""
         performance_data = {}
         for agent in self.agents:
-            performance_data[agent.name] = (
-                agent.get_performance_metrics()
-            )
+            performance_data[
+                agent.name
+            ] = agent.get_performance_metrics()
         return performance_data
 
     def set_interaction_rules(self, rules):
diff --git a/swarms/structs/multi_process_workflow.py b/swarms/structs/multi_process_workflow.py
index 39c69eaac..0b56ca638 100644
--- a/swarms/structs/multi_process_workflow.py
+++ b/swarms/structs/multi_process_workflow.py
@@ -133,10 +133,8 @@ def execute_task(self, task: Task, *args, **kwargs):
 
         except Exception as e:
             logging.error(
-                (
-                    "An error occurred during execution of task"
-                    f" {task}: {str(e)}"
-                ),
+                "An error occurred during execution of task"
+                f" {task}: {str(e)}",
                 exc_info=True,
             )
             return None
diff --git a/swarms/structs/multi_threaded_workflow.py b/swarms/structs/multi_threaded_workflow.py
index 475251baf..303328e31 100644
--- a/swarms/structs/multi_threaded_workflow.py
+++ b/swarms/structs/multi_threaded_workflow.py
@@ -119,10 +119,8 @@ def run(self):
                             self._autosave_task_result(task, result)
                     except Exception as e:
                         logging.error(
-                            (
-                                f"Attempt {attempt+1} failed for task"
-                                f" {task}: {str(e)}"
-                            ),
+                            f"Attempt {attempt+1} failed for task"
+                            f" {task}: {str(e)}",
                             exc_info=True,
                         )
                         if attempt + 1 < self.retry_attempts:
diff --git a/swarms/structs/sequential_workflow.py b/swarms/structs/sequential_workflow.py
index 7c94f4267..832c22ca7 100644
--- a/swarms/structs/sequential_workflow.py
+++ b/swarms/structs/sequential_workflow.py
@@ -44,9 +44,9 @@ class SequentialWorkflow:
     task_pool: List[Task] = None
     max_loops: int = 1
     autosave: bool = False
-    saved_state_filepath: Optional[str] = (
-        "sequential_workflow_state.json"
-    )
+    saved_state_filepath: Optional[
+        str
+    ] = "sequential_workflow_state.json"
     restore_state_filepath: Optional[str] = None
     dashboard: bool = False
     agents: List[Agent] = None
diff --git a/swarms/structs/swarm_redis_registry.py b/swarms/structs/swarm_redis_registry.py
index a17549cda..2db57108f 100644
--- a/swarms/structs/swarm_redis_registry.py
+++ b/swarms/structs/swarm_redis_registry.py
@@ -84,7 +84,9 @@ def _add_edge(self, from_node: Node, to_node: Node, relationship):
         query = f"""
         {match_query}
         CREATE (a)-[r:joined]->(b) RETURN r
-        """.replace("\n", "")
+        """.replace(
+            "\n", ""
+        )
 
         self.redis_graph.query(query)
 
diff --git a/swarms/tools/tool.py b/swarms/tools/tool.py
index 534366148..f8e8da530 100644
--- a/swarms/tools/tool.py
+++ b/swarms/tools/tool.py
@@ -269,10 +269,8 @@ def raise_deprecation(cls, values: dict) -> dict:
         """Raise deprecation warning if callback_manager is used."""
         if values.get("callback_manager") is not None:
             warnings.warn(
-                (
-                    "callback_manager is deprecated. Please use"
-                    " callbacks instead."
-                ),
+                "callback_manager is deprecated. Please use"
+                " callbacks instead.",
                 DeprecationWarning,
             )
             values["callbacks"] = values.pop("callback_manager", None)
diff --git a/swarms/tools/tool_func_doc_scraper.py b/swarms/tools/tool_func_doc_scraper.py
index fccfc6a12..8c8b3a036 100644
--- a/swarms/tools/tool_func_doc_scraper.py
+++ b/swarms/tools/tool_func_doc_scraper.py
@@ -36,11 +36,9 @@ def scrape_tool_func_docs(fn: Callable) -> str:
     except Exception as error:
         print(
             colored(
-                (
-                    f"Error scraping tool function docs {error} try"
-                    " optimizing your inputs with different"
-                    " variables and attempt once more."
-                ),
+                f"Error scraping tool function docs {error} try"
+                " optimizing your inputs with different"
+                " variables and attempt once more.",
                 "red",
             )
         )
diff --git a/swarms/utils/pandas_to_str.py b/swarms/utils/pandas_to_str.py
index 644154875..464a7b31c 100644
--- a/swarms/utils/pandas_to_str.py
+++ b/swarms/utils/pandas_to_str.py
@@ -14,7 +14,7 @@ def dataframe_to_text(
 
     Returns:
         str: The string representation of the DataFrame.
-        
+
     Example:
     >>> df = pd.DataFrame({
     ...     'A': [1, 2, 3],
diff --git a/tests/utils/test_metrics_decorator.py b/tests/utils/test_metrics_decorator.py
index 719d50a7f..8c3a8af9b 100644
--- a/tests/utils/test_metrics_decorator.py
+++ b/tests/utils/test_metrics_decorator.py
@@ -55,11 +55,14 @@ def decorated_func():
         return ["tok_1", "tok_2"]
 
     metrics = decorated_func()
-    assert metrics == """
+    assert (
+        metrics
+        == """
     Time to First Token: 5
     Generation Latency: 20
     Throughput: 0.1
     """
+    )
     mocked_time.assert_any_call()