feat: update sequential tasks agent starter project (#3449)

* feat: update sequential tasks starter project

* feat: Refactor task agents for Researcher, Editor, and Comedian on Sequential Tasks Agent.

* refactor(langflow): Update Sequential Crew component

* refactor: Add SequentialCrewComponent for better organization.

src/backend/base/langflow/initial_setup/starter_projects/sequential_tasks_agent.py

@@ -1,6 +1,5 @@
-from langflow.components.agents.CrewAIAgent import CrewAIAgentComponent
 from langflow.components.agents.SequentialCrew import SequentialCrewComponent
-from langflow.components.helpers.SequentialTask import SequentialTaskComponent
+from langflow.components.agents.SequentialTaskAgent import SequentialTaskAgentComponent
 from langflow.components.inputs.TextInput import TextInputComponent
 from langflow.components.models.OpenAIModel import OpenAIModelComponent
 from langflow.components.outputs.ChatOutput import ChatOutput
@@ -12,31 +11,32 @@ from langflow.graph.graph.base import Graph
 def sequential_tasks_agent_graph():
     llm = OpenAIModelComponent()
     search_api_tool = SearchAPIComponent()
-    researcher_agent = CrewAIAgentComponent()
+
     text_input = TextInputComponent(_display_name="Topic")
     text_input.set(input_value="Agile")
-    researcher_agent.set(
+
-        tools=[search_api_tool.build_tool],
+    # Document Prompt for Researcher
-        llm=llm.build_model,
-        role="Researcher",
-        goal="Search Google to find information to complete the task.",
-        backstory="Research has always been your thing. You can quickly find things on the web because of your skills.",
-    )
-    research_task = SequentialTaskComponent()
     document_prompt_component = PromptComponent()
     document_prompt_component.set(
         template="""Topic: {topic}
 
-Build a document about this document.""",
+Build a document about this topic.""",
         topic=text_input.text_response,
     )
-    research_task.set(
+
-        agent=researcher_agent.build_output,
+    # Researcher Task Agent
+    researcher_task_agent = SequentialTaskAgentComponent()
+    researcher_task_agent.set(
+        role="Researcher",
+        goal="Search Google to find information to complete the task.",
+        backstory="Research has always been your thing. You can quickly find things on the web because of your skills.",
+        tools=[search_api_tool.build_tool],
+        llm=llm.build_model,
         task_description=document_prompt_component.build_prompt,
         expected_output="Bullet points and small phrases about the research topic.",
     )
-    editor_agent = CrewAIAgentComponent()
+
-    editor_task = SequentialTaskComponent()
+    # Revision Prompt for Editor
     revision_prompt_component = PromptComponent()
     revision_prompt_component.set(
         template="""Topic: {topic}
@@ -44,18 +44,20 @@ Build a document about this document.""",
 Revise this document.""",
         topic=text_input.text_response,
     )
-    editor_agent.set(
+
-        llm=llm.build_model,
+    # Editor Task Agent
+    editor_task_agent = SequentialTaskAgentComponent()
+    editor_task_agent.set(
         role="Editor",
-        goal="You should edit the Information provided by the Researcher to make it more palatable and to not contain misleading information.",
+        goal="You should edit the information provided by the Researcher to make it more palatable and to not contain misleading information.",
         backstory="You are the editor of the most reputable journal in the world.",
-    )
+        llm=llm.build_model,
-    editor_task.set(
-        agent=editor_agent.build_output,
         task_description=revision_prompt_component.build_prompt,
         expected_output="Small paragraphs and bullet points with the corrected content.",
-        task=research_task.build_task,
+        previous_task=researcher_task_agent.build_agent_and_task,
     )
+
+    # Blog Prompt for Comedian
     blog_prompt_component = PromptComponent()
     blog_prompt_component.set(
         template="""Topic: {topic}
@@ -63,29 +65,34 @@ Revise this document.""",
 Build a fun blog post about this topic.""",
         topic=text_input.text_response,
     )
-    comedian_agent = CrewAIAgentComponent()
+
-    comedian_agent.set(
+    # Comedian Task Agent
-        llm=llm.build_model,
+    comedian_task_agent = SequentialTaskAgentComponent()
+    comedian_task_agent.set(
         role="Comedian",
         goal="You write comedic content based on the information provided by the editor.",
-        backstory="Your formal occupation is Comedian-in-Chief. You write jokes, do standup comedy and write funny articles.",
+        backstory="Your formal occupation is Comedian-in-Chief. You write jokes, do standup comedy, and write funny articles.",
-    )
+        llm=llm.build_model,
-    blog_task = SequentialTaskComponent()
-    blog_task.set(
-        agent=comedian_agent.build_output,
         task_description=blog_prompt_component.build_prompt,
         expected_output="A small blog about the topic.",
-        task=editor_task.build_task,
+        previous_task=editor_task_agent.build_agent_and_task,
     )
-    sequential_crew_component = SequentialCrewComponent()
-    sequential_crew_component.set(tasks=blog_task.build_task)
-    chat_output = ChatOutput()
-    chat_output.set(input_value=sequential_crew_component.build_output)
 
+    crew_component = SequentialCrewComponent()
+    crew_component.set(
+        tasks=comedian_task_agent.build_agent_and_task,
+    )
+
+    # Set up the output component
+    chat_output = ChatOutput()
+    chat_output.set(input_value=crew_component.build_output)
+
+    # Create the graph
     graph = Graph(
         start=text_input,
         end=chat_output,
         flow_name="Sequential Tasks Agent",
         description="This Agent runs tasks in a predefined sequence.",
     )
+
     return graph