utils

swarms/agents/README.MD

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+Given the complexity of the topic, please note that these simplified markdown documents are quite abstract and high level. They can be used as a starting point for further detailed design and implementation:
+
+### Document 1: Hierarchical Swarms
+
+#### Overall Architecture
+
+1. Leader Agent (LA): This agent has the authority to manage and distribute tasks to the Worker Agents (WA).
+2. Worker Agents (WAs): These agents perform the tasks assigned by the LA.
+
+#### Simplified Requirements
+
+1. LA should be able to distribute tasks to WAs.
+2. WAs should be able to execute tasks and return results to LA.
+3. LA should be able to consolidate and process results.
+
+#### Pseudocode
+
+```
+create LA
+create WAs
+
+for each task in tasks:
+  LA.distribute_task(WAs, task)
+  
+  for each WA in WAs:
+    WA.execute_task()
+    
+  LA.collect_results(WAs)
+  
+LA.process_results()
+```
+
+#### General Classes
+
+```python
+class LeaderAgent:
+  def distribute_task(self, WAs, task):
+    pass
+  
+  def collect_results(self, WAs):
+    pass
+
+  def process_results(self):
+    pass
+
+class WorkerAgent:
+  def execute_task(self):
+    pass
+```
+
+### Document 2: Collaborative Swarms
+
+#### Overall Architecture
+
+1. Collaborative Agents (CAs): These agents work in parallel on different aspects of a task and then collectively determine the best output.
+
+#### Simplified Requirements
+
+1. CAs should be able to work on tasks in parallel.
+2. CAs should be able to collaborate to determine the best result.
+
+#### Pseudocode
+
+```
+create CAs
+
+for each task in tasks:
+  for each CA in CAs:
+    CA.execute_task(task)
+  
+  CA.collaborate()
+```
+
+#### General Classes
+
+```python
+class CollaborativeAgent:
+  def execute_task(self, task):
+    pass
+
+  def collaborate(self):
+    pass
+```
+
+### Document 3: Competitive Swarms
+
+#### Overall Architecture
+
+1. Competitive Agents (CompAs): These agents work independently on the same tasks, and the best result is selected.
+
+#### Simplified Requirements
+
+1. CompAs should be able to work independently on tasks.
+2. An evaluation method should be used to select the best result.
+
+#### Pseudocode
+
+```
+create CompAs
+
+for each task in tasks:
+  for each CompA in CompAs:
+    CompA.execute_task(task)
+
+evaluate_results(CompAs)
+```
+
+#### General Classes
+
+```python
+class CompetitiveAgent:
+  def execute_task(self, task):
+    pass
+
+def evaluate_results(CompAs):
+  pass
+```
+
+Note: In the real world, the complexity of the architecture and requirements will significantly exceed what is presented here. These examples provide a basic starting point but should be expanded upon based on the specifics of the task or problem you're trying to solve.

swarms/agents/utils.py

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+from abc import ABC, abstractmethod
+
+
+class LeaderAgent(ABC):
+    @abstractmethod
+    def distribute_task(self, WAs, task):
+        pass
+
+    @abstractmethod
+    def collect_results(self, WAs):
+        pass
+
+    @abstractmethod
+    def process_results(self):
+        pass
+
+
+class WorkerAgent(ABC):
+    @abstractmethod
+    def execute_task(self):
+        pass
+
+
+class CollaborativeAgent(ABC):
+    @abstractmethod
+    def execute_task(self, task):
+        pass
+
+    @abstractmethod
+    def collaborate(self):
+        pass
+
+
+class CompetitiveAgent(ABC):
+    @abstractmethod
+    def execute_task(self, task):
+        pass
+
+
+def evaluate_results(CompAs):
+    pass
+
+
+
+# Example
+class MyWorkerAgent(WorkerAgent):
+    def execute_task(self):
+        # Insert your implementation here
+        pass