mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-09 08:08:32 +00:00
Knowledge project directory standard
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@@ -39,6 +39,7 @@ def create_folder_structure(name, parent_folder=None):
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folder_path.mkdir(parents=True)
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(folder_path / "tests").mkdir(exist_ok=True)
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(folder_path / "knowledge").mkdir(exist_ok=True)
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if not parent_folder:
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(folder_path / "src" / folder_name).mkdir(parents=True)
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(folder_path / "src" / folder_name / "tools").mkdir(parents=True)
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@@ -52,7 +53,14 @@ def copy_template_files(folder_path, name, class_name, parent_folder):
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templates_dir = package_dir / "templates" / "crew"
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root_template_files = (
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[".gitignore", "pyproject.toml", "README.md"] if not parent_folder else []
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[
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".gitignore",
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"pyproject.toml",
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"README.md",
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"knowledge/user_preference.txt",
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]
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if not parent_folder
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else []
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)
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tools_template_files = ["tools/custom_tool.py", "tools/__init__.py"]
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config_template_files = ["config/agents.yaml", "config/tasks.yaml"]
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@@ -168,7 +176,9 @@ def create_crew(name, provider=None, skip_provider=False, parent_folder=None):
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templates_dir = package_dir / "templates" / "crew"
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root_template_files = (
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[".gitignore", "pyproject.toml", "README.md"] if not parent_folder else []
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[".gitignore", "pyproject.toml", "README.md", "knowledge/user_preference.txt"]
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if not parent_folder
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else []
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)
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tools_template_files = ["tools/custom_tool.py", "tools/__init__.py"]
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config_template_files = ["config/agents.yaml", "config/tasks.yaml"]
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@@ -1,6 +1,6 @@
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from crewai import Agent, Crew, Process, Task
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from crewai.project import CrewBase, agent, crew, task, before_kickoff, after_kickoff
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from crewai.knowledge.source.text_file_knowledge_source import TextFileKnowledgeSource
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# Uncomment the following line to use an example of a custom tool
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# from {{folder_name}}.tools.custom_tool import MyCustomTool
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@@ -57,10 +57,20 @@ class {{crew_name}}():
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@crew
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def crew(self) -> Crew:
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"""Creates the {{crew_name}} crew"""
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# You can add knowledge sources here
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# knowledge_path = "user_preference.txt"
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# sources = [
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# TextFileKnowledgeSource(
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# file_path="knowledge/user_preference.txt",
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# metadata={"preference": "personal"}
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# ),
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# ]
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return Crew(
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agents=self.agents, # Automatically created by the @agent decorator
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tasks=self.tasks, # Automatically created by the @task decorator
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process=Process.sequential,
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verbose=True,
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# process=Process.hierarchical, # In case you wanna use that instead https://docs.crewai.com/how-to/Hierarchical/
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# knowledge_sources=sources, # In the case you want to add knowledge sources``
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)
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@@ -0,0 +1,4 @@
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User name is John Doe.
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User is an AI Engineer.
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User is interested in AI Agents.
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User is based in San Francisco, California.
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@@ -1,17 +1,20 @@
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from pathlib import Path
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from typing import Union, List
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from typing import Union, List, Dict, Any
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from pydantic import Field
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from crewai.knowledge.source.base_knowledge_source import BaseKnowledgeSource
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from typing import Dict, Any
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from crewai.utilities.logger import Logger
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from crewai.knowledge.storage.knowledge_storage import KnowledgeStorage
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class BaseFileKnowledgeSource(BaseKnowledgeSource):
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"""Base class for knowledge sources that load content from files."""
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file_path: Union[Path, List[Path]] = Field(...)
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_logger: Logger = Logger(verbose=True)
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file_path: Union[Path, List[Path], str, List[str]] = Field(
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..., description="The path to the file"
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)
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content: Dict[Path, str] = Field(init=False, default_factory=dict)
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storage: KnowledgeStorage = Field(default_factory=KnowledgeStorage)
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@@ -20,13 +23,34 @@ class BaseFileKnowledgeSource(BaseKnowledgeSource):
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self.content = self.load_content()
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def load_content(self) -> Dict[Path, str]:
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"""Load and preprocess file content. Should be overridden by subclasses."""
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"""Load and preprocess file content. Should be overridden by subclasses. We want to assume that the file path is relative to the project root in the knowledge directory."""
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if isinstance(self.file_path, str):
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self.file_path = self.convert_to_path(self.file_path)
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elif isinstance(self.file_path, list):
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processed_paths = []
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for path in self.file_path:
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processed_paths.append(self.convert_to_path(path))
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self.file_path = processed_paths
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paths = [self.file_path] if isinstance(self.file_path, Path) else self.file_path
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if not isinstance(paths, list):
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raise ValueError("file_path must be a Path or a list of Paths")
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for path in paths:
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if not path.exists():
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self._logger.log(
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"error",
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f"File not found: {path}. Try adding sources to the knowledge directory.",
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color="red",
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)
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raise FileNotFoundError(f"File not found: {path}")
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if not path.is_file():
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self._logger.log(
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"error",
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f"Path is not a file: {path}",
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color="red",
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)
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raise ValueError(f"Path is not a file: {path}")
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return {}
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@@ -34,3 +58,7 @@ class BaseFileKnowledgeSource(BaseKnowledgeSource):
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"""Save the documents to the storage."""
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chunk_metadatas = [metadata.copy() for _ in self.chunks]
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self.storage.save(self.chunks, chunk_metadatas)
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def convert_to_path(self, path: Union[Path, str]) -> Path:
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"""Convert a path to a Path object."""
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return Path("knowledge/" + path) if isinstance(path, str) else path
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@@ -13,8 +13,8 @@ class TextFileKnowledgeSource(BaseFileKnowledgeSource):
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paths = [self.file_path] if isinstance(self.file_path, Path) else self.file_path
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content = {}
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for path in paths:
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with path.open("r", encoding="utf-8") as f:
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content[path] = f.read() # type: ignore
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with open(path, "r", encoding="utf-8") as f:
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content[path] = f.read()
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return content
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def add(self) -> None:
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