Edge between Component and CrewAIAgentComponent has invalid handles - HELP

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To resolve the "Edge between Component and CrewAIAgentComponent has invalid handles" error when running Langflow for the first time on Windows 11 with Python 3.11, follow these steps:

Check Component Initialization: Ensure that all components are properly initialized before they are used. For example, make sure that build_tool, build_model, build_output, build_prompt, and build_task methods are correctly defined and return valid objects.
Verify Connections: Ensure that the connections between components are valid. Each component should be connected to the next in a way that makes sense for the flow. Refer to the JSON structure provided in the new context to understand how the connections should be defined.
Debugging: Add print statements or use a debugger to check the state of each component and their connections at runtime.

Here is a step-by-step approach to troubleshoot and resolve the issue:

from langflow.components.agents.CrewAIAgent import CrewAIAgentComponent
from langflow.components.agents.SequentialCrew import SequentialCrewComponent
from langflow.components.helpers.SequentialTask import SequentialTaskComponent
from langflow.components.inputs.TextInput import TextInputComponent
from langflow.components.models.OpenAIModel import OpenAIModelComponent
from langflow.components.outputs.ChatOutput import ChatOutput
from langflow.components.prompts.Prompt import PromptComponent
from langflow.components.tools.SearchAPI import SearchAPIComponent
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")

    # Ensure the tool and model are built correctly
    search_tool = search_api_tool.build_tool()
    model = llm.build_model()

    researcher_agent.set(
        tools=[search_tool],
        llm=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.""",
        topic=text_input.text_response,
    )

    research_task.set(
        agent=researcher_agent.build_output(),
        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_component = PromptComponent()
    revision_prompt_component.set(
        template="""Topic: {topic}

Revise this document.""",
        topic=text_input.text_response,
    )

    editor_agent.set(
        llm=model,
        role="Editor",
        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.",
    )

    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(),
    )

    blog_prompt_component = PromptComponent()
    blog_prompt_component.set(
        template="""Topic: {topic}
Build a fun blog post about this topic.""",
        topic=text_input.text_response,
    )

    comedian_agent = CrewAIAgentComponent()
    comedian_agent.set(
        llm=model,
        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.",
    )

    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(),
    )

    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())

    graph = Graph(
        start=text_input,
        end=chat_output,
        flow_name="Sequential Tasks Agent",
        description="This Agent runs tasks in a predefined sequence.",
    )
    return graph

Ensure that each build_* method is called correctly and returns a valid object. Additionally, refer to the JSON structure provided in the new context to verify that the connections between components are correctly defined. This should help resolve the "invalid handles" error. If the issue persists, further debugging and validation of each component's state and connections will be necessary ^[1]^{[[2]](https://github.com/langflow-ai/langflow/blob/main/src/backend/base/langflow/initial_setup/starter_projects/Complex Agent.json)}.

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langflow-ai / langflow

Edge between Component and CrewAIAgentComponent has invalid handles - HELP #3445

Bug Description

Reproduction

Expected behavior

Operating System

Langflow Version

Python Version

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