Krishna/jsonutilreadme fix

.github/workflows/python-package.yml

@@ -1,6 +1,8 @@
 # This workflow will install Python dependencies, run tests and lint with a variety of Python versions
 # For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
 
+# [ ] TODO [pep 458](https://blog.pypi.org/posts/2024-11-14-pypi-now-supports-digital-attestations/)
+
 name: Python package
 
 on:
@@ -16,7 +18,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12"]
+        python-version: ["3.10", "3.11", "3.12"]
 
     steps:
     - uses: actions/checkout@v4

.gitignore

@@ -8,7 +8,8 @@ audio/
 video/
 artifacts_three
 dataframe/
-
+.ruff_cache
+.pytest_cache
 static/generated
 runs
 Financial-Analysis-Agent_state.json

README.md

@@ -462,7 +462,7 @@ from pydantic import BaseModel, Field
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
 from swarms import ToolAgent
-from swarms.utils.json_utils import base_model_to_json
+from swarms.tools.json_utils import base_model_to_json
 
 # Load the pre-trained model and tokenizer
 model = AutoModelForCausalLM.from_pretrained(

docs/swarms/install/install.md

@@ -127,7 +127,7 @@ Before you begin, ensure you have the following installed:
                 poetry install --extras "desktop"
                 ```
 
-=== "Using Docker"
+=== "Using Docker COMING SOON [DOES NOT WORK YET]"
 
     Docker is an excellent option for creating isolated and reproducible environments, suitable for both development and production.
 

swarms/structs/agent.py

@@ -1621,11 +1621,16 @@ def get_docs_from_doc_folders(self):
             files = os.listdir(self.docs_folder)
 
             # Extract the text from the files
+            # Process each file and combine their contents
+            all_text = ""
             for file in files:
-                text = data_to_text(file)
+                file_path = os.path.join(self.docs_folder, file)
+                text = data_to_text(file_path)
+                all_text += f"\nContent from {file}:\n{text}\n"
 
+            # Add the combined content to memory
             return self.short_memory.add(
-                role=self.user_name, content=text
+                role=self.user_name, content=all_text
             )
         except Exception as error:
             logger.error(

swarms/structs/auto_swarm_builder.py

@@ -1,5 +1,3 @@
-from loguru import logger
-
 import os
 from typing import List