Preparing to cut new version

README.md

@@ -7,8 +7,8 @@
 The power of AI collaboration has too much to offer.
 CrewAI is designed to enable AI agents to assume roles, share goals, and operate in a cohesive unit - much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions.
 
-[Talk with the Docs](https://chat.openai.com/g/g-qqTuUWsBY-crewai-assistant)
-[Documention Wiki](https://github.com/joaomdmoura/CrewAI/wiki)
+- 🤖 [Talk with the Docs](https://chat.openai.com/g/g-qqTuUWsBY-crewai-assistant)
+- 📄 [Documention Wiki](https://github.com/joaomdmoura/CrewAI/wiki)
 
 ## Getting Started
 
@@ -31,6 +31,7 @@ researcher = Agent(
   goal='Discover new insights',
   backstory="You're a world class researcher working on a major data science company",
   verbose=True
+  # llm=OpenAI(temperature=0.7, model_name="gpt-4"). It uses langchain.chat_models, default is GPT4 
 )
 writer = Agent(
   role='Writer',
@@ -47,7 +48,7 @@ task2 = Task(description='Write a blog post on AI advancements', agent=writer)
 crew = Crew(
   agents=[researcher, writer],
   tasks=[task1, task2],
-  verbose=True, # Crew verbose more will let you know what tasks arebeing worked on
+  verbose=True # Crew verbose more will let you know what tasks are being worked on
   process=Process.sequential # Sequential process will have tasks executed one after the other and the outcome of the previous one is passed as extra content into this next.
 )
 

crewai/crew.py

@@ -72,13 +72,15 @@ class Crew(BaseModel):
 				tools = AgentTools(agents=self.agents).tools()
 				task.tools += tools
 
-			if self.verbose:
-				print(f"Working Agent: {task.agent.role}")
-				print(f"Starting Task: {task.description} ...")
+			self.__log(f"\nWorking Agent: {task.agent.role}")
+			self.__log(f"Starting Task: {task.description} ...")
 
 			task_outcome = task.execute(task_outcome)
 
-			if self.verbose:	
-				print(f"Task output: {task_outcome}")
+			self.__log(f"Task output: {task_outcome}")
 		
-		return task_outcome
+		return task_outcome
+	
+	def __log(self, message):
+		if self.verbose:
+			print(message)

pyproject.toml

@@ -1,7 +1,7 @@
 
 [tool.poetry]
 name = "crewai"
-version = "0.1.0"
+version = "0.1.1"
 description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
 authors = ["Joao Moura <joaomdmoura@gmail.com>"]
 readme = "README.md"