New docs about yaml crew with decorators. Simplify template crew with… (#1701)

* New docs about yaml crew with decorators. Simplify template crew with links

* Fix spelling issues.
This commit is contained in:
Brandon Hancock (bhancock_ai)
2024-12-05 11:23:20 -05:00
committed by GitHub
parent 611526596a
commit b0f1d1fcf0
3 changed files with 203 additions and 53 deletions

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@@ -41,6 +41,155 @@ A crew in crewAI represents a collaborative group of agents working together to
**Crew Max RPM**: The `max_rpm` attribute sets the maximum number of requests per minute the crew can perform to avoid rate limits and will override individual agents' `max_rpm` settings if you set it.
</Tip>
## Creating Crews
There are two ways to create crews in CrewAI: using **YAML configuration (recommended)** or defining them **directly in code**.
### YAML Configuration (Recommended)
Using YAML configuration provides a cleaner, more maintainable way to define crews and is consistent with how agents and tasks are defined in CrewAI projects.
After creating your CrewAI project as outlined in the [Installation](/installation) section, you can define your crew in a class that inherits from `CrewBase` and uses decorators to define agents, tasks, and the crew itself.
#### Example Crew Class with Decorators
```python code
from crewai import Agent, Crew, Task, Process
from crewai.project import CrewBase, agent, task, crew, before_kickoff, after_kickoff
@CrewBase
class YourCrewName:
"""Description of your crew"""
# Paths to your YAML configuration files
# To see an example agent and task defined in YAML, checkout the following:
# - Task: https://docs.crewai.com/concepts/tasks#yaml-configuration-recommended
# - Agents: https://docs.crewai.com/concepts/agents#yaml-configuration-recommended
agents_config = 'config/agents.yaml'
tasks_config = 'config/tasks.yaml'
@before_kickoff
def prepare_inputs(self, inputs):
# Modify inputs before the crew starts
inputs['additional_data'] = "Some extra information"
return inputs
@after_kickoff
def process_output(self, output):
# Modify output after the crew finishes
output.raw += "\nProcessed after kickoff."
return output
@agent
def agent_one(self) -> Agent:
return Agent(
config=self.agents_config['agent_one'],
verbose=True
)
@agent
def agent_two(self) -> Agent:
return Agent(
config=self.agents_config['agent_two'],
verbose=True
)
@task
def task_one(self) -> Task:
return Task(
config=self.tasks_config['task_one']
)
@task
def task_two(self) -> Task:
return Task(
config=self.tasks_config['task_two']
)
@crew
def crew(self) -> Crew:
return Crew(
agents=self.agents, # Automatically collected by the @agent decorator
tasks=self.tasks, # Automatically collected by the @task decorator.
process=Process.sequential,
verbose=True,
)
```
<Note>
Tasks will be executed in the order they are defined.
</Note>
The `CrewBase` class, along with these decorators, automates the collection of agents and tasks, reducing the need for manual management.
#### Decorators overview from `annotations.py`
CrewAI provides several decorators in the `annotations.py` file that are used to mark methods within your crew class for special handling:
- `@CrewBase`: Marks the class as a crew base class.
- `@agent`: Denotes a method that returns an `Agent` object.
- `@task`: Denotes a method that returns a `Task` object.
- `@crew`: Denotes the method that returns the `Crew` object.
- `@before_kickoff`: (Optional) Marks a method to be executed before the crew starts.
- `@after_kickoff`: (Optional) Marks a method to be executed after the crew finishes.
These decorators help in organizing your crew's structure and automatically collecting agents and tasks without manually listing them.
### Direct Code Definition (Alternative)
Alternatively, you can define the crew directly in code without using YAML configuration files.
```python code
from crewai import Agent, Crew, Task, Process
from crewai_tools import YourCustomTool
class YourCrewName:
def agent_one(self) -> Agent:
return Agent(
role="Data Analyst",
goal="Analyze data trends in the market",
backstory="An experienced data analyst with a background in economics",
verbose=True,
tools=[YourCustomTool()]
)
def agent_two(self) -> Agent:
return Agent(
role="Market Researcher",
goal="Gather information on market dynamics",
backstory="A diligent researcher with a keen eye for detail",
verbose=True
)
def task_one(self) -> Task:
return Task(
description="Collect recent market data and identify trends.",
expected_output="A report summarizing key trends in the market.",
agent=self.agent_one()
)
def task_two(self) -> Task:
return Task(
description="Research factors affecting market dynamics.",
expected_output="An analysis of factors influencing the market.",
agent=self.agent_two()
)
def crew(self) -> Crew:
return Crew(
agents=[self.agent_one(), self.agent_two()],
tasks=[self.task_one(), self.task_two()],
process=Process.sequential,
verbose=True
)
```
In this example:
- Agents and tasks are defined directly within the class without decorators.
- We manually create and manage the list of agents and tasks.
- This approach provides more control but can be less maintainable for larger projects.
## Crew Output

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@@ -1,37 +1,26 @@
from crewai import Agent, Crew, Process, Task
from crewai.project import CrewBase, agent, crew, task, before_kickoff, after_kickoff
# Uncomment the following line to use an example of a custom tool
# from {{folder_name}}.tools.custom_tool import MyCustomTool
# Uncomment the following line to use an example of a knowledge source
# from crewai.knowledge.source.text_file_knowledge_source import TextFileKnowledgeSource
from crewai.project import CrewBase, agent, crew, task
# Check our tools documentations for more information on how to use them
# from crewai_tools import SerperDevTool
# If you want to run a snippet of code before or after the crew starts,
# you can use the @before_kickoff and @after_kickoff decorators
# https://docs.crewai.com/concepts/crews#example-crew-class-with-decorators
@CrewBase
class {{crew_name}}():
"""{{crew_name}} crew"""
# Learn more about YAML configuration files here:
# Agents: https://docs.crewai.com/concepts/agents#yaml-configuration-recommended
# Tasks: https://docs.crewai.com/concepts/tasks#yaml-configuration-recommended
agents_config = 'config/agents.yaml'
tasks_config = 'config/tasks.yaml'
@before_kickoff # Optional hook to be executed before the crew starts
def pull_data_example(self, inputs):
# Example of pulling data from an external API, dynamically changing the inputs
inputs['extra_data'] = "This is extra data"
return inputs
@after_kickoff # Optional hook to be executed after the crew has finished
def log_results(self, output):
# Example of logging results, dynamically changing the output
print(f"Results: {output}")
return output
# If you would like to add tools to your agents, you can learn more about it here:
# https://docs.crewai.com/concepts/agents#agent-tools
@agent
def researcher(self) -> Agent:
return Agent(
config=self.agents_config['researcher'],
# tools=[MyCustomTool()], # Example of custom tool, loaded on the beginning of file
verbose=True
)
@@ -42,6 +31,9 @@ class {{crew_name}}():
verbose=True
)
# To learn more about structured task outputs,
# task dependencies, and task callbacks, check out the documentation:
# https://docs.crewai.com/concepts/tasks#overview-of-a-task
@task
def research_task(self) -> Task:
return Task(
@@ -58,14 +50,8 @@ class {{crew_name}}():
@crew
def crew(self) -> Crew:
"""Creates the {{crew_name}} crew"""
# You can add knowledge sources here
# knowledge_path = "user_preference.txt"
# sources = [
# TextFileKnowledgeSource(
# file_path="knowledge/user_preference.txt",
# metadata={"preference": "personal"}
# ),
# ]
# To learn how to add knowledge sources to your crew, check out the documentation:
# https://docs.crewai.com/concepts/knowledge#what-is-knowledge
return Crew(
agents=self.agents, # Automatically created by the @agent decorator
@@ -73,5 +59,4 @@ class {{crew_name}}():
process=Process.sequential,
verbose=True,
# process=Process.hierarchical, # In case you wanna use that instead https://docs.crewai.com/how-to/Hierarchical/
# knowledge_sources=sources, # In the case you want to add knowledge sources
)

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@@ -1,31 +1,47 @@
from crewai import Agent, Crew, Process, Task
from crewai.project import CrewBase, agent, crew, task
# If you want to run a snippet of code before or after the crew starts,
# you can use the @before_kickoff and @after_kickoff decorators
# https://docs.crewai.com/concepts/crews#example-crew-class-with-decorators
@CrewBase
class PoemCrew():
"""Poem Crew"""
class PoemCrew:
"""Poem Crew"""
agents_config = 'config/agents.yaml'
tasks_config = 'config/tasks.yaml'
# Learn more about YAML configuration files here:
# Agents: https://docs.crewai.com/concepts/agents#yaml-configuration-recommended
# Tasks: https://docs.crewai.com/concepts/tasks#yaml-configuration-recommended
agents_config = "config/agents.yaml"
tasks_config = "config/tasks.yaml"
@agent
def poem_writer(self) -> Agent:
return Agent(
config=self.agents_config['poem_writer'],
)
# If you would lik to add tools to your crew, you can learn more about it here:
# https://docs.crewai.com/concepts/agents#agent-tools
@agent
def poem_writer(self) -> Agent:
return Agent(
config=self.agents_config["poem_writer"],
)
@task
def write_poem(self) -> Task:
return Task(
config=self.tasks_config['write_poem'],
)
# To learn more about structured task outputs,
# task dependencies, and task callbacks, check out the documentation:
# https://docs.crewai.com/concepts/tasks#overview-of-a-task
@task
def write_poem(self) -> Task:
return Task(
config=self.tasks_config["write_poem"],
)
@crew
def crew(self) -> Crew:
"""Creates the Research Crew"""
return Crew(
agents=self.agents, # Automatically created by the @agent decorator
tasks=self.tasks, # Automatically created by the @task decorator
process=Process.sequential,
verbose=True,
)
@crew
def crew(self) -> Crew:
"""Creates the Research Crew"""
# To learn how to add knowledge sources to your crew, check out the documentation:
# https://docs.crewai.com/concepts/knowledge#what-is-knowledge
return Crew(
agents=self.agents, # Automatically created by the @agent decorator
tasks=self.tasks, # Automatically created by the @task decorator
process=Process.sequential,
verbose=True,
)