Tasks Context raising error

Hello,

I have a set of Tasks defined and, when I define a task as context to another it give me error. If I remove the context it works fine.

Any hint? basically I have two research tasks that serves as input for the proposal generation task.

Here a snippet of my tasks.

    class SBDTasks():
  def __init__(self):
        self.timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
        self.proposal_status = "draft"
        #self.review_scores = {}
  
  def company_research_task(self, agent, business_name: str, business_website: str, lead_country: str, cities: str) -> Task:
    """
      Create a task for researching the target company's profile, structure, and market position.
      
      Args:
          agent: Research agent to perform the task
          business_name: Name of the target company
          business_website: Company's website
          lead_country: Primary country of operation
          cities: Cities where company operates and where the project will be implemented
      """
    task = Task(
      description=dedent(f"""
                         COMPANY RESEARCH: {business_name}
                         
                         Conduct comprehensive research on {business_name} to support proposal creation.
              
                        Compile findings in a structured report highlighting insights relevant for proposal creation.
                    """),
      expected_output=dedent("""
            A comprehensive research report 
        """),
        agent=agent,
        output_pydantic=CompanyResearch,
        async_execution=True,
        output_file=f'data/company_research_{self.timestamp}.json'
    )
    return task
 
   

            
  def project_research_task(self, agent, business_objective: str, interest_area: str, challenges_faced: str,  technical_constraints: str, proposed_options: str) -> Task:
    """
    A task for researching the specific project needs and industry context.

    Args:
        agent: Research agent to perform the task
        proposal_type: Type of proposal/project
        interest_area: Primary area of interest
        statement_of_work: Project scope
        interests: Specific interests/requirements
    """
    task = Task(
        description=dedent(f"""
            PROJECT RESEARCH: {business_objective}
            
            Conduct comprehensive research to support a proposal for {business_objective},
            focusing on the following areas: {', '.join(interest_area)}.
            

            Compile findings focusing on practical applications for the proposal.
        """),
        expected_output=dedent('''
            {
                "project_name": "Example Project",
                "research_date": "2025-01-10",
                "interest_areas": ["Infrastructure", "Cloud Computing"],
                "solution_options": [
                    {
                        "name": "Solution A",
                        "features": {
                            "key_features": ["Feature 1", "Feature 2"],
                            "technical_specifications": {"spec1": "value1"}
                        },
                        "costs": {
                            "initial_investment": 100000,
                            "operational_costs": 50000,
                            "total_cost_3_years": 250000,
                            "total_cost_5_years": 400000
                        }
                    },
                    {
                        "name": "Solution B"
                        // Similar structure for second solution
                    }
                ],
                "solution_comparison": {
                    "comparison_criteria": ["Cost", "Performance", "Scalability"],
                    "scoring_matrix": {
                        "Solution A": {"Cost": 8.5, "Performance": 9.0},
                        "Solution B": {"Cost": 7.5, "Performance": 9.5}
                    }
                }
            }
        '''),
        agent=agent,
        output_pydantic=ProjectResearch,
        async_execution=True,
        output_file=f'data/project_research_{self.timestamp}.json'
    )

    return task
  
  
  def proposal_creation(self, agent, business_name: str, lead_country: str, cities: str, proposal_type: str, iteration=0, previous_review=None) -> Task:
    """
        Create or revise a business proposal based on iteration number and previous review.
        
        Args:
            iteration: Current iteration number (0 for initial, >0 for revisions)
            previous_review: Previous review feedback (None for initial proposal)
    """
    
    revision_context = ""
    if iteration > 0 and previous_review:
        revision_context = dedent(f"""
            # Revision Context (Iteration {iteration})
            This is a revision based on previous review feedback. Address the following points:
            {previous_review}
            
            Focus on:
            1. Addressing all review comments
            2. Strengthening identified weak areas
            3. Maintaining successful elements
            4. Documenting major changes made
            
            Include a change log at the end of the proposal.
            """)
      
    task = Task(
            description=dedent(f"""
                               
                               {'PROPOSAL REVISION' if iteration > 0 else 'NEW PROPOSAL'} for {business_name}
                                   {revision_context}
                                   
                                   Create a professional business proposal for XXX's consulting services for {business_name}.
                                   
                                   {f'REVISION ITERATION {iteration + 1}: Please address previous review feedback.' if iteration > 0 else ''}
                                   

                                    Create this proposal focusing on {business_name}'s specific needs while maintaining Onzo's professional standards. 
                                    Each section should flow logically into the next, building a compelling case for choosing XXX, LDA.
                               
                               """
                               ),
            expected_output=dedent("""
                A complete proposal document with the following clear sections
                
                End the document with a clear marker:
                ---END_PROPOSAL---
            """),
            agent=agent,
            #async_execution=True,
            context=[self.company_research_task, self.project_research_task],
            #output_pydantic=Proposal,
            #guardrail=validate_proposal_content,
            output_file=f'data/proposal_v{iteration + 1}_{self.timestamp}.md'
        )
    
    return task