[README]

README.md

@@ -128,24 +128,26 @@ for task in workflow.tasks:
 
 
 ### `ConcurrentWorkflow`
+- Run all the tasks all at the same time
 ```python
 import os 
 from dotenv import load_dotenv 
-from swarms.models import OpenAIChat, Task, ConcurrentWorkflow
+from swarms import OpenAIChat, Task, ConcurrentWorkflow, Agent
 
 # Load environment variables from .env file
 load_dotenv()
 
 # Load environment variables
 llm = OpenAIChat(openai_api_key=os.getenv("OPENAI_API_KEY"))
+agent = Agent(llm=llm, max_loops=1)
 
 # Create a workflow
 workflow = ConcurrentWorkflow(max_workers=5)
 
 # Create tasks
-task1 = Task(llm, "What's the weather in miami")
-task2 = Task(llm, "What's the weather in new york")
-task3 = Task(llm, "What's the weather in london")
+task1 = Task(agent, "What's the weather in miami")
+task2 = Task(agent, "What's the weather in new york")
+task3 = Task(agent, "What's the weather in london")
 
 # Add tasks to the workflow
 workflow.add(task1)
@@ -157,6 +159,40 @@ workflow.run()
 
 ```
 
+### `RecursiveWorkflow`
+- Recursively iterate on a workflow until a specific token is detected. 
+
+```python
+import os 
+from dotenv import load_dotenv 
+from swarms import OpenAIChat, Task, RecursiveWorkflow, Agent
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Load environment variables
+llm = OpenAIChat(openai_api_key=os.getenv("OPENAI_API_KEY"))
+agent = Agent(llm=llm, max_loops=1)
+
+# Create a workflow
+workflow = RecursiveWorkflow(stop_token="<DONE>")
+
+# Create tasks
+task1 = Task(agent, "What's the weather in miami")
+task2 = Task(agent, "What's the weather in new york")
+task3 = Task(agent, "What's the weather in london")
+
+# Add tasks to the workflow
+workflow.add(task1)
+workflow.add(task2)
+workflow.add(task3)
+
+# Run the workflow
+workflow.run()
+
+
+```
+
 
 
 ### `ModelParallelizer`

concurrent_workflow.py

@@ -1,20 +1,21 @@
 import os 
 from dotenv import load_dotenv 
-from swarms.models import OpenAIChat, Task, ConcurrentWorkflow
+from swarms import OpenAIChat, Task, ConcurrentWorkflow, Agent
 
 # Load environment variables from .env file
 load_dotenv()
 
 # Load environment variables
 llm = OpenAIChat(openai_api_key=os.getenv("OPENAI_API_KEY"))
+agent = Agent(llm=llm, max_loops=1)
 
 # Create a workflow
 workflow = ConcurrentWorkflow(max_workers=5)
 
 # Create tasks
-task1 = Task(llm, "What's the weather in miami")
-task2 = Task(llm, "What's the weather in new york")
-task3 = Task(llm, "What's the weather in london")
+task1 = Task(agent, "What's the weather in miami")
+task2 = Task(agent, "What's the weather in new york")
+task3 = Task(agent, "What's the weather in london")
 
 # Add tasks to the workflow
 workflow.add(task1)

recursive_example.py

@@ -0,0 +1,26 @@
+import os 
+from dotenv import load_dotenv 
+from swarms import OpenAIChat, Task, RecursiveWorkflow, Agent
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Load environment variables
+llm = OpenAIChat(openai_api_key=os.getenv("OPENAI_API_KEY"))
+agent = Agent(llm=llm, max_loops=1)
+
+# Create a workflow
+workflow = RecursiveWorkflow(stop_token="<DONE>")
+
+# Create tasks
+task1 = Task(agent, "What's the weather in miami")
+task2 = Task(agent, "What's the weather in new york")
+task3 = Task(agent, "What's the weather in london")
+
+# Add tasks to the workflow
+workflow.add(task1)
+workflow.add(task2)
+workflow.add(task3)
+
+# Run the workflow
+workflow.run()