Merge branch 'main' of github.com:crewAIInc/crewAI into knowledge

README.md

@@ -100,7 +100,7 @@ You can now start developing your crew by editing the files in the `src/my_proje
 
 #### Example of a simple crew with a sequential process:
 
-Instantiate your crew:
+Instatiate your crew:
 
 ```shell
 crewai create crew latest-ai-development
@@ -399,7 +399,7 @@ Data collected includes:
 - Roles of agents in a crew
   - Understand high level use cases so we can build better tools, integrations and examples about it
 - Tools names available
-  - Understand out of the publicly available tools, which ones are being used the most so we can improve them
+  - Understand out of the publically available tools, which ones are being used the most so we can improve them
 
 Users can opt-in to Further Telemetry, sharing the complete telemetry data by setting the `share_crew` attribute to `True` on their Crews. Enabling `share_crew` results in the collection of detailed crew and task execution data, including `goal`, `backstory`, `context`, and `output` of tasks. This enables a deeper insight into usage patterns while respecting the user's choice to share.
 

docs/concepts/knowledge.mdx

@@ -1,6 +1,6 @@
 ---
 title: Knowledge
-description: Understand what knowledge is in CrewAI and how to effectively use it.
+description: What is knowledge in CrewAI and how to use it.
 icon: book
 ---
 
@@ -8,14 +8,7 @@ icon: book
 
 ## Introduction
 
-Knowledge in CrewAI serves as a foundational component for enriching AI agents with contextual and relevant information. It enables agents to access and utilize structured data sources during their execution processes, making them more intelligent and responsive.
-
 The Knowledge class in CrewAI provides a powerful way to manage and query knowledge sources for your AI agents. This guide will show you how to implement knowledge management in your CrewAI projects.
-
-## What is Knowledge?
-
-The `Knowledge` class in CrewAI manages various sources that store information, which can be queried and retrieved by AI agents. This modular approach allows you to integrate diverse data formats such as text, PDFs, spreadsheets, and more into your AI workflows.
-
 Additionally, we have specific tools for generate knowledge sources for strings, text files, PDF's, and Spreadsheets. You can expand on any source type by extending the `KnowledgeSource` class.
 
 ## Basic Implementation
@@ -32,14 +25,17 @@ string_source = StringKnowledgeSource(
     content=content, metadata={"preference": "personal"}
 )
 
-# Create an agent with the knowledge store
+
+llm = LLM(model="gpt-4o-mini", temperature=0)
+  # Create an agent with the knowledge store
 agent = Agent(
     role="About User",
     goal="You know everything about the user.",
     backstory="""You are a master at understanding people and their preferences.""",
-    verbose=True
+    verbose=True,
+    allow_delegation=False,
+    llm=llm,
 )
-
 task = Task(
     description="Answer the following questions about the user: {question}",
     expected_output="An answer to the question.",

docs/concepts/llms.mdx

@@ -310,8 +310,8 @@ These are examples of how to configure LLMs for your agent.
     from crewai import LLM
 
     llm = LLM(
-        model="llama-3.1-sonar-large-128k-online",
-        base_url="https://api.perplexity.ai/",
+        model="perplexity/mistral-7b-instruct",
+        base_url="https://api.perplexity.ai/v1",
         api_key="your-api-key-here"
     )
     agent = Agent(llm=llm, ...)
@@ -400,4 +400,4 @@ This is particularly useful when working with OpenAI-compatible APIs or when you
 - **API Errors**: Check your API key, network connection, and rate limits.
 - **Unexpected Outputs**: Refine your prompts and adjust temperature or top_p.
 - **Performance Issues**: Consider using a more powerful model or optimizing your queries.
-- **Timeout Errors**: Increase the `timeout` parameter or optimize your input.
+- **Timeout Errors**: Increase the `timeout` parameter or optimize your input.

docs/how-to/before-and-after-kickoff-hooks.mdx

@@ -1,59 +0,0 @@
----
-title: Before and After Kickoff Hooks
-description: Learn how to use before and after kickoff hooks in CrewAI
----
-
-CrewAI provides hooks that allow you to execute code before and after a crew's kickoff. These hooks are useful for preprocessing inputs or post-processing results.
-
-## Before Kickoff Hook
-
-The before kickoff hook is executed before the crew starts its tasks. It receives the input dictionary and can modify it before passing it to the crew. You can use this hook to set up your environment, load necessary data, or preprocess your inputs. This is useful in scenarios where the input data might need enrichment or validation before being processed by the crew.
-
-Here's an example of defining a before kickoff function in your `crew.py`:
-
-```python
-from crewai import CrewBase, before_kickoff
-
-@CrewBase
-class MyCrew:
-    @before_kickoff
-    def prepare_data(self, inputs):
-        # Preprocess or modify inputs
-        inputs['processed'] = True
-        return inputs
-
-#...
-```
-
-In this example, the prepare_data function modifies the inputs by adding a new key-value pair indicating that the inputs have been processed.
-
-## After Kickoff Hook
-
-The after kickoff hook is executed after the crew has completed its tasks. It receives the result object, which contains the outputs of the crew's execution. This hook is ideal for post-processing results, such as logging, data transformation, or further analysis.
-
-Here's how you can define an after kickoff function in your `crew.py`:
-
-```python
-from crewai import CrewBase, after_kickoff
-
-@CrewBase
-class MyCrew:
-    @after_kickoff
-    def log_results(self, result):
-        # Log or modify the results
-        print("Crew execution completed with result:", result)
-        return result
-
-# ...
-```
-
-
-In the `log_results` function, the results of the crew execution are simply printed out. You can extend this to perform more complex operations such as sending notifications or integrating with other services.
-
-## Utilizing Both Hooks
-
-Both hooks can be used together to provide a comprehensive setup and teardown process for your crew's execution. They are particularly useful in maintaining clean code architecture by separating concerns and enhancing the modularity of your CrewAI implementations.
-
-## Conclusion
-
-Before and after kickoff hooks in CrewAI offer powerful ways to interact with the lifecycle of a crew's execution. By understanding and utilizing these hooks, you can greatly enhance the robustness and flexibility of your AI agents.

docs/quickstart.mdx

@@ -8,7 +8,7 @@ icon: rocket
 
 Let's create a simple crew that will help us `research` and `report` on the `latest AI developments` for a given topic or subject.
 
-Before we proceed, make sure you have `crewai` and `crewai-tools` installed.
+Before we proceed, make sure you have `crewai` and `crewai-tools` installed. 
 If you haven't installed them yet, you can do so by following the [installation guide](/installation).
 
 Follow the steps below to get crewing! 🚣‍♂️
@@ -23,7 +23,7 @@ Follow the steps below to get crewing! 🚣‍♂️
       ```
     </CodeGroup>
   </Step>
-  <Step title="Modify your `agents.yaml` file">
+  <Step title="Modify your `agents.yaml` file">  
   <Tip>
   You can also modify the agents as needed to fit your use case or copy and paste as is to your project.
   Any variable interpolated in your `agents.yaml` and `tasks.yaml` files like `{topic}` will be replaced by the value of the variable in the `main.py` file.
@@ -39,7 +39,7 @@ Follow the steps below to get crewing! 🚣‍♂️
         You're a seasoned researcher with a knack for uncovering the latest
         developments in {topic}. Known for your ability to find the most relevant
         information and present it in a clear and concise manner.
-
+          
     reporting_analyst:
       role: >
         {topic} Reporting Analyst
@@ -51,7 +51,7 @@ Follow the steps below to get crewing! 🚣‍♂️
         it easy for others to understand and act on the information you provide.
     ```
   </Step>
-  <Step title="Modify your `tasks.yaml` file">
+  <Step title="Modify your `tasks.yaml` file">  
     ```yaml tasks.yaml
     # src/latest_ai_development/config/tasks.yaml
     research_task:
@@ -73,8 +73,8 @@ Follow the steps below to get crewing! 🚣‍♂️
       agent: reporting_analyst
       output_file: report.md
     ```
-  </Step>
-  <Step title="Modify your `crew.py` file">
+  </Step>   
+  <Step title="Modify your `crew.py` file">  
     ```python crew.py
     # src/latest_ai_development/crew.py
     from crewai import Agent, Crew, Process, Task
@@ -121,34 +121,10 @@ Follow the steps below to get crewing! 🚣‍♂️
           tasks=self.tasks, # Automatically created by the @task decorator
           process=Process.sequential,
           verbose=True,
-        )
+        ) 
     ```
   </Step>
-  <Step title="[Optional] Add before and after crew functions">
-    ```python crew.py
-    # src/latest_ai_development/crew.py
-    from crewai import Agent, Crew, Process, Task
-    from crewai.project import CrewBase, agent, crew, task, before_kickoff, after_kickoff
-    from crewai_tools import SerperDevTool
-
-    @CrewBase
-    class LatestAiDevelopmentCrew():
-      """LatestAiDevelopment crew"""
-
-      @before_kickoff
-      def before_kickoff_function(self, inputs):
-        print(f"Before kickoff function with inputs: {inputs}")
-        return inputs # You can return the inputs or modify them as needed
-
-      @after_kickoff
-      def after_kickoff_function(self, result):
-        print(f"After kickoff function with result: {result}")
-        return result # You can return the result or modify it as needed
-
-      # ... remaining code
-    ```
-  </Step>
-  <Step title="Feel free to pass custom inputs to your crew">
+  <Step title="Feel free to pass custom inputs to your crew"> 
   For example, you can pass the `topic` input to your crew to customize the research and reporting.
     ```python main.py
     #!/usr/bin/env python
@@ -261,14 +237,14 @@ Follow the steps below to get crewing! 🚣‍♂️
 ### Note on Consistency in Naming
 
 The names you use in your YAML files (`agents.yaml` and `tasks.yaml`) should match the method names in your Python code.
-For example, you can reference the agent for specific tasks from `tasks.yaml` file.
+For example, you can reference the agent for specific tasks from `tasks.yaml` file. 
 This naming consistency allows CrewAI to automatically link your configurations with your code; otherwise, your task won't recognize the reference properly.
 
 #### Example References
 
 <Tip>
   Note how we use the same name for the agent in the `agents.yaml` (`email_summarizer`) file as the method name in the `crew.py` (`email_summarizer`) file.
-</Tip>
+</Tip>  
 
 ```yaml agents.yaml
 email_summarizer:
@@ -305,8 +281,6 @@ Use the annotations to properly reference the agent and task in the `crew.py` fi
 * `@task`
 * `@crew`
 * `@tool`
-* `@before_kickoff`
-* `@after_kickoff`
 * `@callback`
 * `@output_json`
 * `@output_pydantic`
@@ -330,7 +304,7 @@ def email_summarizer_task(self) -> Task:
 
 <Tip>
 In addition to the [sequential process](../how-to/sequential-process), you can use the [hierarchical process](../how-to/hierarchical-process),
-which automatically assigns a manager to the defined crew to properly coordinate the planning and execution of tasks through delegation and validation of results.
+which automatically assigns a manager to the defined crew to properly coordinate the planning and execution of tasks through delegation and validation of results. 
 You can learn more about the core concepts [here](/concepts).
 </Tip>
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "crewai"
-version = "0.83.0"
+version = "0.80.0"
 description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
 readme = "README.md"
 requires-python = ">=3.10,<=3.13"
@@ -29,8 +29,6 @@ dependencies = [
     "tomli-w>=1.1.0",
     "tomli>=2.0.2",
     "chromadb>=0.5.18",
-    "pdfplumber>=0.11.4",
-    "openpyxl>=3.1.5",
 ]
 
 [project.urls]

src/crewai/__init__.py

@@ -16,7 +16,7 @@ warnings.filterwarnings(
     category=UserWarning,
     module="pydantic.main",
 )
-__version__ = "0.83.0"
+__version__ = "0.80.0"
 __all__ = [
     "Agent",
     "Crew",

src/crewai/cli/templates/crew/crew.py

@@ -1,5 +1,5 @@
 from crewai import Agent, Crew, Process, Task
-from crewai.project import CrewBase, agent, crew, task, before_kickoff, after_kickoff
+from crewai.project import CrewBase, agent, crew, task
 
 # Uncomment the following line to use an example of a custom tool
 # from {{folder_name}}.tools.custom_tool import MyCustomTool
@@ -14,18 +14,6 @@ class {{crew_name}}():
 	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
-
 	@agent
 	def researcher(self) -> Agent:
 		return Agent(

src/crewai/cli/templates/crew/pyproject.toml

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<=3.13"
 dependencies = [
-    "crewai[tools]>=0.83.0,<1.0.0"
+    "crewai[tools]>=0.80.0,<1.0.0"
 ]
 
 [project.scripts]

src/crewai/cli/templates/flow/pyproject.toml

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<=3.13"
 dependencies = [
-    "crewai[tools]>=0.83.0,<1.0.0",
+    "crewai[tools]>=0.80.0,<1.0.0",
 ]
 
 [project.scripts]

src/crewai/cli/templates/pipeline/pyproject.toml

@@ -6,7 +6,7 @@ authors = ["Your Name <you@example.com>"]
 
 [tool.poetry.dependencies]
 python = ">=3.10,<=3.13"
-crewai = { extras = ["tools"], version = ">=0.83.0,<1.0.0" }
+crewai = { extras = ["tools"], version = ">=0.80.0,<1.0.0" }
 asyncio = "*"
 
 [tool.poetry.scripts]

src/crewai/cli/templates/pipeline_router/pyproject.toml

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = ["Your Name <you@example.com>"]
 requires-python = ">=3.10,<=3.13"
 dependencies = [
-    "crewai[tools]>=0.83.0,<1.0.0"
+    "crewai[tools]>=0.80.0,<1.0.0"
 ]
 
 [project.scripts]

src/crewai/cli/templates/tool/pyproject.toml

@@ -5,6 +5,6 @@ description = "Power up your crews with {{folder_name}}"
 readme = "README.md"
 requires-python = ">=3.10,<=3.13"
 dependencies = [
-    "crewai[tools]>=0.83.0"
+    "crewai[tools]>=0.80.0"
 ]
 

src/crewai/llm.py

@@ -1,6 +1,6 @@
+import io
 import logging
 import sys
-import threading
 import warnings
 from contextlib import contextmanager
 from typing import Any, Dict, List, Optional, Union
@@ -13,25 +13,16 @@ from crewai.utilities.exceptions.context_window_exceeding_exception import (
 )
 
 
-class FilteredStream:
-    def __init__(self, original_stream):
-        self._original_stream = original_stream
-        self._lock = threading.Lock()
-
-    def write(self, s) -> int:
-        with self._lock:
-            if (
-                "Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new"
-                in s
-                or "LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True`"
-                in s
-            ):
-                return 0
-            return self._original_stream.write(s)
-
-    def flush(self):
-        with self._lock:
-            return self._original_stream.flush()
+class FilteredStream(io.StringIO):
+    def write(self, s):
+        if (
+            "Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new"
+            in s
+            or "LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True`"
+            in s
+        ):
+            return
+        super().write(s)
 
 
 LLM_CONTEXT_WINDOW_SIZES = {
@@ -69,8 +60,8 @@ def suppress_warnings():
         # Redirect stdout and stderr
         old_stdout = sys.stdout
         old_stderr = sys.stderr
-        sys.stdout = FilteredStream(old_stdout)
-        sys.stderr = FilteredStream(old_stderr)
+        sys.stdout = FilteredStream()
+        sys.stderr = FilteredStream()
 
         try:
             yield

src/crewai/task.py

@@ -20,10 +20,10 @@ from pydantic import (
 from pydantic_core import PydanticCustomError
 
 from crewai.agents.agent_builder.base_agent import BaseAgent
+from crewai.tools.base_tool import BaseTool
 from crewai.tasks.output_format import OutputFormat
 from crewai.tasks.task_output import TaskOutput
 from crewai.telemetry.telemetry import Telemetry
-from crewai.tools.base_tool import BaseTool
 from crewai.utilities.config import process_config
 from crewai.utilities.converter import Converter, convert_to_model
 from crewai.utilities.i18n import I18N
@@ -208,9 +208,7 @@ class Task(BaseModel):
         """Execute the task asynchronously."""
         future: Future[TaskOutput] = Future()
         threading.Thread(
-            daemon=True,
-            target=self._execute_task_async,
-            args=(agent, context, tools, future),
+            target=self._execute_task_async, args=(agent, context, tools, future)
         ).start()
         return future
 
@@ -279,9 +277,7 @@ class Task(BaseModel):
             content = (
                 json_output
                 if json_output
-                else pydantic_output.model_dump_json()
-                if pydantic_output
-                else result
+                else pydantic_output.model_dump_json() if pydantic_output else result
             )
             self._save_file(content)
 

uv.lock

@@ -608,7 +608,7 @@ wheels = [
 
 [[package]]
 name = "crewai"
-version = "0.83.0"
+version = "0.80.0"
 source = { editable = "." }
 dependencies = [
     { name = "appdirs" },
@@ -622,11 +622,9 @@ dependencies = [
     { name = "langchain" },
     { name = "litellm" },
     { name = "openai" },
-    { name = "openpyxl" },
     { name = "opentelemetry-api" },
     { name = "opentelemetry-exporter-otlp-proto-http" },
     { name = "opentelemetry-sdk" },
-    { name = "pdfplumber" },
     { name = "pydantic" },
     { name = "python-dotenv" },
     { name = "pyvis" },
@@ -643,9 +641,6 @@ agentops = [
 fastembed = [
     { name = "fastembed" },
 ]
-mem0 = [
-    { name = "mem0ai" },
-]
 openpyxl = [
     { name = "openpyxl" },
 ]
@@ -655,6 +650,9 @@ pandas = [
 pdfplumber = [
     { name = "pdfplumber" },
 ]
+mem0 = [
+    { name = "mem0ai" },
+]
 tools = [
     { name = "crewai-tools" },
 ]
@@ -696,13 +694,11 @@ requires-dist = [
     { name = "litellm", specifier = ">=1.44.22" },
     { name = "mem0ai", marker = "extra == 'mem0'", specifier = ">=0.1.29" },
     { name = "openai", specifier = ">=1.13.3" },
-    { name = "openpyxl", specifier = ">=3.1.5" },
     { name = "openpyxl", marker = "extra == 'openpyxl'", specifier = ">=3.1.5" },
     { name = "opentelemetry-api", specifier = ">=1.22.0" },
     { name = "opentelemetry-exporter-otlp-proto-http", specifier = ">=1.22.0" },
     { name = "opentelemetry-sdk", specifier = ">=1.22.0" },
     { name = "pandas", marker = "extra == 'pandas'", specifier = ">=2.2.3" },
-    { name = "pdfplumber", specifier = ">=0.11.4" },
     { name = "pdfplumber", marker = "extra == 'pdfplumber'", specifier = ">=0.11.4" },
     { name = "pydantic", specifier = ">=2.4.2" },
     { name = "python-dotenv", specifier = ">=1.0.0" },
@@ -956,6 +952,7 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/c1/8b/5fe2cc11fee489817272089c4203e679c63b570a5aaeb18d852ae3cbba6a/et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa", size = 18059 },
 ]
 
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"