mirror of
https://github.com/crewAIInc/crewAI.git
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Removing LangChain and Rebuilding Executor (#1322)
* rebuilding executor * removing langchain * Making all tests good * fixing types and adding ability for nor using system prompts * improving types * pleasing the types gods * pleasing the types gods * fixing parser, tools and executor * making sure all tests pass * final pass * fixing type * Updating Docs * preparing to cut new version
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@@ -71,25 +71,59 @@ To customize your pipeline project, you can:
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3. Modify `src/<project_name>/main.py` to set up and run your pipelines.
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4. Add your environment variables into the `.env` file.
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### Example: Defining a Pipeline
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## Example 1: Defining a Two-Stage Sequential Pipeline
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Here's an example of how to define a pipeline in `src/<project_name>/pipelines/normal_pipeline.py`:
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Here's an example of how to define a pipeline with sequential stages in `src/<project_name>/pipelines/pipeline.py`:
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```python
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from crewai import Pipeline
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from crewai.project import PipelineBase
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from ..crews.normal_crew import NormalCrew
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from ..crews.research_crew.research_crew import ResearchCrew
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from ..crews.write_x_crew.write_x_crew import WriteXCrew
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@PipelineBase
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class NormalPipeline:
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class SequentialPipeline:
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def __init__(self):
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# Initialize crews
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self.normal_crew = NormalCrew().crew()
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self.research_crew = ResearchCrew().crew()
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self.write_x_crew = WriteXCrew().crew()
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def create_pipeline(self):
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return Pipeline(
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stages=[
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self.normal_crew
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self.research_crew,
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self.write_x_crew
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]
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)
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async def kickoff(self, inputs):
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pipeline = self.create_pipeline()
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results = await pipeline.kickoff(inputs)
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return results
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```
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## Example 2: Defining a Two-Stage Pipeline with Parallel Execution
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```python
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from crewai import Pipeline
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from crewai.project import PipelineBase
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from ..crews.research_crew.research_crew import ResearchCrew
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from ..crews.write_x_crew.write_x_crew import WriteXCrew
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from ..crews.write_linkedin_crew.write_linkedin_crew import WriteLinkedInCrew
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@PipelineBase
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class ParallelExecutionPipeline:
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def __init__(self):
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# Initialize crews
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self.research_crew = ResearchCrew().crew()
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self.write_x_crew = WriteXCrew().crew()
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self.write_linkedin_crew = WriteLinkedInCrew().crew()
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def create_pipeline(self):
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return Pipeline(
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stages=[
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self.research_crew,
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[self.write_x_crew, self.write_linkedin_crew] # Parallel execution
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]
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)
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@@ -126,4 +160,4 @@ This will initialize your pipeline and begin task execution as defined in your `
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Pipelines can be deployed in the same way as regular CrewAI projects. The easiest way is through [CrewAI+](https://www.crewai.com/crewaiplus), where you can deploy your pipeline in a few clicks.
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Remember, when working with pipelines, you're orchestrating multiple crews to work together in a sequence or parallel fashion. This allows for more complex workflows and information processing tasks.
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Remember, when working with pipelines, you're orchestrating multiple crews to work together in a sequence or parallel fashion. This allows for more complex workflows and information processing tasks.
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@@ -1,5 +1,7 @@
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---
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title: Starting a New CrewAI Project - Using Template
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description: A comprehensive guide to starting a new CrewAI project, including the latest updates and project setup methods.
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---
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@@ -21,6 +23,7 @@ $ pip install 'crewai[tools]'
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```
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## Creating a New Project
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In this example, we will be using poetry as our virtual environment manager.
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To create a new CrewAI project, run the following CLI command:
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@@ -95,10 +98,13 @@ research_candidates_task:
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```
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### Referencing Variables:
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Your defined functions with the same name will be used. For example, you can reference the agent for specific tasks from task.yaml file. Ensure your annotated agent and function name is the same otherwise your task won't recognize the reference properly.
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Your defined functions with the same name will be used. For example, you can reference the agent for specific tasks from `tasks.yaml` file. Ensure your annotated agent and function name are the same; otherwise, your task won't recognize the reference properly.
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#### Example References
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agent.yaml
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`agents.yaml`
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```yaml
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email_summarizer:
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role: >
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@@ -110,7 +116,8 @@ email_summarizer:
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llm: mixtal_llm
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```
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task.yaml
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`tasks.yaml`
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```yaml
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email_summarizer_task:
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description: >
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@@ -123,37 +130,34 @@ email_summarizer_task:
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- research_task
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```
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Use the annotations to properly reference the agent and task in the crew.py file.
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Use the annotations to properly reference the agent and task in the `crew.py` file.
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### Annotations include:
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* [@agent](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L17)
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* [@task](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L4)
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* [@crew](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L69)
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* [@llm](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L23)
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* [@tool](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L39)
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* [@callback](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L44)
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* [@output_json](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L29)
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* [@output_pydantic](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L34)
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* [@cache_handler](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L49)
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crew.py
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```py
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* `@agent`
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* `@task`
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* `@crew`
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* `@tool`
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* `@callback`
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* `@output_json`
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* `@output_pydantic`
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* `@cache_handler`
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`crew.py`
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```python
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# ...
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@llm
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def mixtal_llm(self):
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return ChatGroq(temperature=0, model_name="mixtral-8x7b-32768")
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@agent
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def email_summarizer(self) -> Agent:
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return Agent(
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config=self.agents_config["email_summarizer"],
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)
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@agent
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def email_summarizer(self) -> Agent:
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return Agent(
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config=self.agents_config["email_summarizer"],
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)
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## ...other tasks defined
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@task
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def email_summarizer_task(self) -> Task:
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return Task(
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config=self.tasks_config["email_summarizer_task"],
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)
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@task
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def email_summarizer_task(self) -> Task:
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return Task(
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config=self.tasks_config["email_summarizer_task"],
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)
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# ...
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```
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@@ -204,6 +208,7 @@ To run your project, use the following command:
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```shell
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$ crewai run
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```
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This will initialize your crew of AI agents and begin task execution as defined in your configuration in the `main.py` file.
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### Replay Tasks from Latest Crew Kickoff
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