Merge 958d7a66d7 into 37ea8cc58d

.github/workflows/pylint.yml

@@ -7,7 +7,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.8", "3.9", "3.10"]
+        python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
     steps:
     - uses: actions/checkout@v4
     - name: Set up Python ${{ matrix.python-version }}

.github/workflows/pytestmac.yml

@@ -0,0 +1,35 @@
+name: Test on Macos-14 M1
+
+on:
+  push:
+    branches: [ master ]
+  pull_request:
+    branches: [ master ]
+
+jobs:
+  build:
+
+    runs-on: macos-14
+
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Set up Python 3.11.7
+      uses: actions/setup-python@v5
+      with:
+        python-version: 3.11.7
+
+    - name: Install Poetry
+      uses: snok/install-poetry@v1
+      with:
+        virtualenvs-create: true
+        virtualenvs-in-project: true
+        installer-parallel: true
+
+    - name: Install dependencies
+      run: |
+        poetry install
+
+    - name: Run tests
+      run: |
+        poetry run pytest

.github/workflows/test.yml

@@ -19,9 +19,7 @@ jobs:
           - "3.9"
           - "3.10"
           - "3.11"
-        test_type:
+
-          - "core"
-          - "extended"
     steps:
       - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
@@ -29,48 +27,26 @@ jobs:
         with:
           python-version: ${{ matrix.python-version }}
           poetry-version: "1.4.2"
-          cache-key: ${{ matrix.test_type }}
           install-command: 
-              if [ "${{ matrix.test_type }}" == "core" ]; then
+              echo "Running core tests, installing dependencies with poetry..."
-                echo "Running core tests, installing dependencies with poetry..."
+              poetry install
-                poetry install
+      - name: Run core tests
-              else
+        run: pytest
-                echo "Running extended tests, installing dependencies with poetry..."
-                poetry install -E extended_testing
-              fi
-      - name: Run ${{matrix.test_type}} tests
-        run: |
-          if [ "${{ matrix.test_type }}" == "core" ]; then
-            make test
-          else
-            make extended_tests
-          fi
         shell: bash
-    name: Python ${{ matrix.python-version }} ${{ matrix.test_type }}
+      - name: Python ${{ matrix.python-version }} core
-    steps:
+        uses: actions/checkout@v4
-      - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
-        uses: "./.github/actions/poetry_setup"
+        uses: "actions/setup-python@v2"
         with:
           python-version: ${{ matrix.python-version }}
           poetry-version: "1.4.2"
-          cache-key: ${{ matrix.test_type }}
           install-command: |
-              if [ "${{ matrix.test_type }}" == "core" ]; then
+              echo "Running core tests, installing dependencies with poetry..."
-                echo "Running core tests, installing dependencies with poetry..."
+              poetry install
-                poetry install
+      - name: Run core tests
-              else
+        run: pytest
-                echo "Running extended tests, installing dependencies with poetry..."
-                poetry install -E extended_testing
-              fi
-      - name: Run ${{matrix.test_type}} tests
-        run: |
-          if [ "${{ matrix.test_type }}" == "core" ]; then
-            make test
-          else
-            make extended_tests
-          fi
         shell: bash
+
   build:
     runs-on: ubuntu-latest
     strategy:
@@ -80,31 +56,17 @@ jobs:
           - "3.9"
           - "3.10"
           - "3.11"
-        test_type:
+    name: Python ${{ matrix.python-version }} core
-          - "core"
-          - "extended"
-    name: Python ${{ matrix.python-version }} ${{ matrix.test_type }}
     steps:
       - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
-        uses: "./.github/actions/poetry_setup"
+        uses: "actions/setup-python@v2"
         with:
           python-version: ${{ matrix.python-version }}
           poetry-version: "1.4.2"
-          cache-key: ${{ matrix.test_type }}
           install-command: |
-              if [ "${{ matrix.test_type }}" == "core" ]; then
+              echo "Running core tests, installing dependencies with poetry..."
-                echo "Running core tests, installing dependencies with poetry..."
+              poetry install
-                poetry install
+      - name: Run core tests
-              else
+        run: pytest
-                echo "Running extended tests, installing dependencies with poetry..."
-                poetry install -E extended_testing
-              fi
-      - name: Run ${{matrix.test_type}} tests
-        run: |
-          if [ "${{ matrix.test_type }}" == "core" ]; then
-            make test
-          else
-            make extended_tests
-          fi
         shell: bash

example.py

@@ -1,3 +1,4 @@
+""" Example of using the OpenAIChat model to generate a blog post. """
 import os
 
 from dotenv import load_dotenv

playground/agents/mm_agent_example.py

@@ -1,8 +1,10 @@
-from swarms.agents import MultiModalAgent
+""" Example of using the MultiModalAgent """
+
+from swarms.agents import OmniModalAgent
 
 load_dict = {"ImageCaptioning": "cuda"}
 
-node = MultiModalAgent(load_dict)
+node = OmniModalAgent(load_dict)
 
 text = node.run_text(
     "What is your name? Generate a picture of yourself"

pyproject.toml

@@ -23,7 +23,7 @@ classifiers = [
 
 
 [tool.poetry.dependencies]
-python = "^3.6.1"
+python = ">=3.9.1,<3.12"
 torch = "2.1.1"
 transformers = "4.37.1"
 openai = "0.28.0"
@@ -33,6 +33,7 @@ einops = "0.7.0"
 google-generativeai = "0.3.1"
 langchain-experimental = "0.0.10"
 tensorflow = "*"
+tensorflow-io = "*"
 weaviate-client = "3.25.3"
 opencv-python-headless = "4.8.1.78"
 faiss-cpu = "1.7.4"
@@ -74,6 +75,7 @@ supervision = "*"
 scikit-image = "*"
 pinecone-client = "*"
 roboflow = "*"
+python-dotenv = "*"
 
 
 

requirements.txt

@@ -18,6 +18,7 @@ PyPDF2==3.0.1
 accelerate==0.22.0
 chromadb==0.4.14
 tensorflow
+tensorflow-io
 optimum
 toml
 tiktoken==0.4.0
@@ -51,4 +52,5 @@ supervision
 scikit-image
 anthropic
 pinecone-client
-roboflow
+roboflow
+python-dotenv

swarms/__init__.py

@@ -1,15 +1,16 @@
+""" init file for swarms package. """
 # from swarms.telemetry.main import Telemetry  # noqa: E402, F403
 from swarms.telemetry.bootup import bootup  # noqa: E402, F403
 
 bootup()
 
-from swarms.agents import *  # noqa: E402, F403
+from swarms.agents import *  # noqa: E402, F403, C0413
-from swarms.structs import *  # noqa: E402, F403
+from swarms.structs import *  # noqa: E402, F403, C0413
-from swarms.models import *  # noqa: E402, F403
+from swarms.models import *  # noqa: E402, F403,    C0413
-from swarms.telemetry import *  # noqa: E402, F403
+from swarms.telemetry import *  # noqa: E402, F403, C0413
-from swarms.utils import *  # noqa: E402, F403
+from swarms.utils import *  # noqa: E402, F403, C0413
-from swarms.prompts import *  # noqa: E402, F403
+from swarms.prompts import *  # noqa: E402, F403, C0413
-from swarms.tokenizers import *  # noqa: E402, F403
+from swarms.tokenizers import *  # noqa: E402, F403, C0413
-from swarms.loaders import *  # noqa: E402, F403
+from swarms.loaders import *  # noqa: E402, F403, C0413
-from swarms.artifacts import *  # noqa: E402, F403
+from swarms.artifacts import *  # noqa: E402, F403, C0413
-from swarms.chunkers import *  # noqa: E402, F403
+from swarms.chunkers import *  # noqa: E402, F403, C0413

swarms/agents/__init__.py

@@ -1,3 +1,4 @@
+""" init file for swarms/agents module. """
 from swarms.agents.base import AbstractAgent
 from swarms.agents.omni_modal_agent import OmniModalAgent
 from swarms.agents.simple_agent import SimpleAgent

swarms/agents/agent_wrapper.py

@@ -1,7 +1,9 @@
+""" This module provides a function to wrap a class to inherit from 'Agent'. """
+
 from swarms.structs.agent import Agent
 
 
-def agent_wrapper(ClassToWrap):
+def agent_wrapper(ClassToWrap): # noqa C0103
     """
     This function takes a class 'ClassToWrap' and returns a new class that
     inherits from both 'ClassToWrap' and 'Agent'. The new class overrides
@@ -14,7 +16,8 @@ def agent_wrapper(ClassToWrap):
         type: The new class that inherits from both 'ClassToWrap' and 'Agent'.
     """
 
-    class WrappedClass(ClassToWrap, Agent):
+    class WrappedClass(ClassToWrap, Agent): # noqa C0103
+        """ A class that inherits from both 'ClassToWrap' and 'Agent'. """
         def __init__(self, *args, **kwargs):
             try:
                 Agent.__init__(self, *args, **kwargs)

swarms/agents/base.py

@@ -1,3 +1,5 @@
+""" Base class for AI agents. """
+
 from typing import Dict, List
 
 

swarms/agents/omni_modal_agent.py

@@ -1,3 +1,5 @@
+""" OmniModalAgent  """
+
 from langchain.base_language import BaseLanguageModel
 from langchain_experimental.autonomous_agents.hugginggpt.repsonse_generator import (
     load_response_generator,
@@ -72,11 +74,11 @@ class OmniModalAgent:
         # self.task_executor = TaskExecutor
         self.history = []
 
-    def run(self, input: str) -> str:
+    def run(self, input_to_agent: str) -> str:
         """Run the OmniAgent"""
         plan = self.chat_planner.plan(
             inputs={
-                "input": input,
+                "input": input_to_agent,
                 "hf_tools": self.tools,
             }
         )

swarms/agents/simple_agent.py

@@ -1,8 +1,10 @@
-from swarms.structs.conversation import Conversation
-from swarms.models.base_llm import AbstractLLM
 from typing import Any
 import importlib
 import pkgutil
+
+from swarms.structs.conversation import Conversation
+from swarms.models.base_llm import AbstractLLM
+
 import swarms.models
 
 
@@ -16,7 +18,7 @@ def get_llm_by_name(name: str):
     Returns:
         type: The class with the given name, or None if no such class is found.
     """
-    for importer, modname, ispkg in pkgutil.iter_modules(
+    for importer, modname, ispkg in pkgutil.iter_modules( # noqa: W0612
         swarms.models.__path__
     ):
         module = importlib.import_module(f"swarms.models.{modname}")
@@ -26,7 +28,7 @@ def get_llm_by_name(name: str):
 
 
 # Run the language model in a loop for n iterations
-def SimpleAgent(
+def SimpleAgent( #noqa: C0103
     llm: AbstractLLM = None, iters: Any = "automatic", *args, **kwargs
 ):
     """
@@ -39,21 +41,21 @@ def SimpleAgent(
         **kwargs: Additional keyword arguments to pass to the language model.
 
     Raises:
-        Exception: If the language model is not defined or cannot be found.
+        AttributeError: If the language model is not defined or cannot be found.
 
     Returns:
         None
     """
     try:
         if llm is None:
-            raise Exception("Language model not defined")
+            raise AttributeError("Language model not defined")
 
         if isinstance(llm, str):
             llm = get_llm_by_name(llm)
             if llm is None:
-                raise Exception(f"Language model {llm} not found")
+                raise AttributeError(f"Language model {llm} not found")
             llm = llm(*args, **kwargs)
-    except Exception as error:
+    except AttributeError as error:
         print(f"[ERROR][SimpleAgent] {error}")
         raise error
 
@@ -98,7 +100,7 @@ def SimpleAgent(
         print(f"[ERROR][SimpleAgentConversation] {error}")
         raise error
 
-    except KeyboardInterrupt:
+    except KeyboardInterrupt as exc:
         print("[INFO][SimpleAgentConversation] Keyboard interrupt")
         conv.export_conversation("conversation.txt")
-        raise KeyboardInterrupt
+        raise KeyboardInterrupt from exc