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Update Sequential.md (#849)

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To Resolve : 
pydantic_core._pydantic_core.ValidationError: 1 validation error for Task
expected_output
Field required [type=missing, input_value=, input_type=dict]
For further information visit https://errors.pydantic.dev/2.6/v/missing

"Expected Output" is mandatory now as it forces people to be specific about the expected result and get better result


refer : https://github.com/joaomdmoura/crewAI/issues/308
This commit is contained in:
Salman Faroz
2024-07-03 05:47:53 +05:30
committed by GitHub
parent 138bb6169d
commit 6848d813bf
1 changed files with 4 additions and 5 deletions
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9
docs/how-to/Sequential.md
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@@ -37,10 +37,9 @@ writer = Agent(
backstory='A skilled writer with a talent for crafting compelling narratives'
)
# Define the tasks in sequence
research_task = Task(description='Gather relevant data...', agent=researcher)
analysis_task = Task(description='Analyze the data...', agent=analyst)
writing_task = Task(description='Compose the report...', agent=writer)
research_task = Task(description='Gather relevant data...', agent=researcher, expected_output='Raw Data')
analysis_task = Task(description='Analyze the data...', agent=analyst, expected_output='Data Insights')
writing_task = Task(description='Compose the report...', agent=writer, expected_output='Final Report')
# Form the crew with a sequential process
report_crew = Crew(
@@ -83,4 +82,4 @@ CrewAI tracks token usage across all tasks and agents. You can access these metr
1. **Order Matters**: Arrange tasks in a logical sequence where each task builds upon the previous one.
2. **Clear Task Descriptions**: Provide detailed descriptions for each task to guide the agents effectively.
3. **Appropriate Agent Selection**: Match agents' skills and roles to the requirements of each task.
4. **Use Context**: Leverage the context from previous tasks to inform subsequent ones
4. **Use Context**: Leverage the context from previous tasks to inform subsequent ones