Adding multi thread execution

README.md

@@ -15,8 +15,6 @@
 [![GitHub Repo stars](https://img.shields.io/github/stars/joaomdmoura/crewAI)](https://github.com/joaomdmoura/crewAI)
 [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
 
-<!-- [![Discord](https://img.shields.io/discord/1192246288507474000)](https://discord.com/invite/X4JWnZnxPb) -->
-
 </div>
 
 ## Table of contents
@@ -134,7 +132,7 @@ print("######################")
 print(result)
 ```
 
-In addition to the sequential process, you can use the hierarchical process, which automatically assigns a manager to the defined crew to properly coordinate the planning and execution of tasks through delegation and validation of results. See more about the processes [here](./docs/core-concepts/Managing-Processes.md).
+In addition to the sequential process, you can use the hierarchical process, which automatically assigns a manager to the defined crew to properly coordinate the planning and execution of tasks through delegation and validation of results. [See more about the processes here](https://docs.crewai.com/core-concepts/Managing-Processes/).
 
 ## Key Features
 

docs/stylesheets/output.css

@@ -544,171 +544,18 @@ video {
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src/crewai/crew.py

@@ -161,7 +161,9 @@ class Crew(BaseModel):
             self._logger.log("debug", f"Working Agent: {role}")
             self._logger.log("info", f"Starting Task: {task.description}")
 
-            task_output = task.execute(context=task_output)
+            output = task.execute(context=task_output)
+            if not task.async_execution:
+                task_output = output
 
             role = task.agent.role if task.agent is not None else "None"
             self._logger.log("debug", f"[{role}] Task output: {task_output}\n\n")

src/crewai/task.py

@@ -1,3 +1,4 @@
+import threading
 import uuid
 from typing import Any, List, Optional
 
@@ -12,8 +13,12 @@ from crewai.utilities import I18N
 class Task(BaseModel):
     """Class that represent a task to be executed."""
 
+    class Config:
+        arbitrary_types_allowed = True
+
     __hash__ = object.__hash__  # type: ignore
     i18n: I18N = I18N()
+    thread: threading.Thread = None
     description: str = Field(description="Description of the actual task.")
     callback: Optional[Any] = Field(
         description="Callback to be executed after the task is completed.", default=None
@@ -29,6 +34,10 @@ class Task(BaseModel):
         description="Other tasks that will have their output used as context for this task.",
         default=None,
     )
+    async_execution: Optional[bool] = Field(
+        description="Whether the task should be executed asynchronously or not.",
+        default=False,
+    )
     output: Optional[TaskOutput] = Field(
         description="Task output, it's final result after being executed", default=None
     )
@@ -71,12 +80,29 @@ class Task(BaseModel):
             )
 
         if self.context:
-            context = "\n".join([task.output.result for task in self.context])
+            context = []
+            for task in self.context:
+                if task.async_execution:
+                    task.thread.join()
+                context.append(task.output.result)
+            context = "\n".join(context)
 
-        result = self.agent.execute_task(
+        if self.async_execution:
-            task=self._prompt(), context=context, tools=self.tools
+            self.thread = threading.Thread(
-        )
+                target=self._execute, args=(agent, self._prompt(), context, self.tools)
+            )
+            self.thread.start()
+        else:
+            result = self._execute(
+                agent=agent,
+                task_prompt=self._prompt(),
+                context=context,
+                tools=self.tools,
+            )
+            return result
 
+    def _execute(self, agent, task_prompt, context, tools):
+        result = agent.execute_task(task=task_prompt, context=context, tools=tools)
         self.output = TaskOutput(description=self.description, result=result)
         self.callback(self.output) if self.callback else None
         return result

tests/crew_test.py

@@ -337,3 +337,51 @@ def test_api_calls_throttling(capsys):
         captured = capsys.readouterr()
         assert "Max RPM reached, waiting for next minute to start." in captured.out
         moveon.assert_called()
+
+
+def test_async_task_execution():
+    import threading
+    from unittest.mock import patch
+
+    from crewai.tasks.task_output import TaskOutput
+
+    list_ideas = Task(
+        description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
+        expected_output="Bullet point list of 5 important events.",
+        agent=researcher,
+        async_execution=True,
+    )
+    list_important_history = Task(
+        description="Research the history of AI and give me the 5 most important events that shaped the technology.",
+        expected_output="Bullet point list of 5 important events.",
+        agent=researcher,
+        async_execution=True,
+    )
+    write_article = Task(
+        description="Write an article about the history of AI and its most important events.",
+        expected_output="A 4 paragraph article about AI.",
+        agent=writer,
+        context=[list_ideas, list_important_history],
+    )
+
+    crew = Crew(
+        agents=[researcher, writer],
+        process=Process.sequential,
+        tasks=[list_ideas, list_important_history, write_article],
+    )
+
+    with patch.object(Agent, "execute_task") as execute:
+        execute.return_value = "ok"
+        with patch.object(threading.Thread, "start") as start:
+            thread = threading.Thread(target=lambda: None, args=()).start()
+            start.return_value = thread
+            with patch.object(threading.Thread, "join", wraps=thread.join()) as join:
+                list_ideas.output = TaskOutput(
+                    description="A 4 paragraph article about AI.", result="ok"
+                )
+                list_important_history.output = TaskOutput(
+                    description="A 4 paragraph article about AI.", result="ok"
+                )
+                crew.kickoff()
+                start.assert_called()
+                join.assert_called()

tests/task_test.py

@@ -116,3 +116,23 @@ def test_execute_with_agent():
     with patch.object(Agent, "execute_task", return_value="ok") as execute:
         task.execute(agent=researcher)
         execute.assert_called_once_with(task=task._prompt(), context=None, tools=[])
+
+
+def test_async_execution():
+    researcher = Agent(
+        role="Researcher",
+        goal="Make the best research and analysis on content about AI and AI agents",
+        backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
+        allow_delegation=False,
+    )
+
+    task = Task(
+        description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
+        expected_output="Bullet point list of 5 interesting ideas.",
+        async_execution=True,
+        agent=researcher,
+    )
+
+    with patch.object(Agent, "execute_task", return_value="ok") as execute:
+        task.execute(agent=researcher)
+        execute.assert_called_once_with(task=task._prompt(), context=None, tools=[])