Merge branch 'main' into feature/add-docs-for-crew-output

docs/how-to/Conditional-Tasks.md

@@ -1,87 +0,0 @@
----
-title: Conditional Tasks
-description: Learn how to use conditional tasks in a crewAI kickoff
----
-
-## Introduction
-
-Conditional Tasks in crewAI allow for dynamic workflow adaptation based on the outcomes of previous tasks. This powerful feature enables crews to make decisions and execute tasks selectively, enhancing the flexibility and efficiency of your AI-driven processes.
-
-```python
-from typing import List
-
-from pydantic import BaseModel
-from crewai import Agent, Crew
-from crewai.tasks.conditional_task import ConditionalTask
-from crewai.tasks.task_output import TaskOutput
-from crewai.task import Task
-from crewai_tools import SerperDevTool
-
-
-# Define a condition function for the conditional task
-# if false task will be skipped, true, then execute task
-def is_data_missing(output: TaskOutput) -> bool:
-    return len(output.pydantic.events) < 10: # this will skip this task
-
-# Define the agents
-data_fetcher_agent = Agent(
-    role="Data Fetcher",
-    goal="Fetch data online using Serper tool",
-    backstory="Backstory 1",
-    verbose=True,
-    tools=[SerperDevTool()],
-)
-
-data_processor_agent = Agent(
-    role="Data Processor",
-    goal="Process fetched data",
-    backstory="Backstory 2",
-    verbose=True,
-)
-
-summary_generator_agent = Agent(
-    role="Summary Generator",
-    goal="Generate summary from fetched data",
-    backstory="Backstory 3",
-    verbose=True,
-)
-
-
-class EventOutput(BaseModel):
-    events: List[str]
-
-
-task1 = Task(
-    description="Fetch data about events in San Francisco using Serper tool",
-    expected_output="List of 10 things to do in SF this week",
-    agent=data_fetcher_agent,
-    output_pydantic=EventOutput,
-)
-
-conditional_task = ConditionalTask(
-    description="""
-        Check if data is missing. If we have less than 10 events,
-        fetch more events using Serper tool so that
-        we have a total of 10 events in SF this week..
-        """,
-    expected_output="List of 10 Things to do in SF this week ",
-    condition=is_data_missing,
-    agent=data_processor_agent,
-)
-
-task3 = Task(
-    description="Generate summary of events in San Francisco from fetched data",
-    expected_output="summary_generated",
-    agent=summary_generator_agent,
-)
-
-# Create a crew with the tasks
-crew = Crew(
-    agents=[data_fetcher_agent, data_processor_agent, summary_generator_agent],
-    tasks=[task1, conditional_task, task3],
-    verbose=2,
-)
-
-result = crew.kickoff()
-print("results", result)
-```

docs/index.md

@@ -118,11 +118,6 @@ Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By
                     Replay from a Task
                 </a>
             </li>
-            <li>
-                <a href="./how-to/Conditional-Tasks">
-                    Conditional Tasks
-                </a>
-            </li>
             <li>
                 <a href="./how-to/AgentOps-Observability">
                     Agent Monitoring with AgentOps

mkdocs.yml

@@ -146,7 +146,6 @@ nav:
     - Kickoff a Crew Asynchronously: 'how-to/Kickoff-async.md'
     - Kickoff a Crew for a List: 'how-to/Kickoff-for-each.md'
     - Replay from a specific task from a kickoff: 'how-to/Replay-tasks-from-latest-Crew-Kickoff.md'
-    - Conditional Tasks: 'how-to/Conditional-Tasks.md'
     - Agent Monitoring with AgentOps: 'how-to/AgentOps-Observability.md'
     - Agent Monitoring with LangTrace: 'how-to/Langtrace-Observability.md'
   - Tools Docs:

src/crewai/agent.py

@@ -181,6 +181,7 @@ class Agent(BaseAgent):
         self.agent_executor.tools = parsed_tools
         self.agent_executor.task = task
 
+        # TODO: COMPARE WITH ARGS AND WITHOUT ARGS
         self.agent_executor.tools_description = self._render_text_description_and_args(
             parsed_tools
         )
@@ -203,7 +204,7 @@ class Agent(BaseAgent):
             self._times_executed += 1
             if self._times_executed > self.max_retry_limit:
                 raise e
-            result = self.execute_task(task, context, tools)
+            self.execute_task(task, context, tools)
 
         if self.max_rpm:
             self._rpm_controller.stop_rpm_counter()

src/crewai/agents/agent_builder/base_agent.py

@@ -1,7 +1,6 @@
 import uuid
 from abc import ABC, abstractmethod
 from copy import copy as shallow_copy
-from hashlib import md5
 from typing import Any, Dict, List, Optional, TypeVar
 
 from pydantic import (
@@ -163,11 +162,6 @@ class BaseAgent(ABC, BaseModel):
             self._token_process = TokenProcess()
         return self
 
-    @property
-    def key(self):
-        source = [self.role, self.goal, self.backstory]
-        return md5("|".join(source).encode()).hexdigest()
-
     @abstractmethod
     def execute_task(
         self,

src/crewai/crew.py

@@ -2,7 +2,6 @@ import asyncio
 import json
 import uuid
 from concurrent.futures import Future
-from hashlib import md5
 from typing import Any, Dict, List, Optional, Tuple, Union
 
 from langchain_core.callbacks import BaseCallbackHandler
@@ -28,7 +27,6 @@ from crewai.memory.long_term.long_term_memory import LongTermMemory
 from crewai.memory.short_term.short_term_memory import ShortTermMemory
 from crewai.process import Process
 from crewai.task import Task
-from crewai.tasks.conditional_task import ConditionalTask
 from crewai.tasks.task_output import TaskOutput
 from crewai.telemetry import Telemetry
 from crewai.tools.agent_tools import AgentTools
@@ -38,11 +36,12 @@ from crewai.utilities.constants import (
     TRAINING_DATA_FILE,
 )
 from crewai.utilities.evaluators.task_evaluator import TaskEvaluator
+from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler
+
 from crewai.utilities.formatter import (
     aggregate_raw_outputs_from_task_outputs,
     aggregate_raw_outputs_from_tasks,
 )
-from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler
 from crewai.utilities.training_handler import CrewTrainingHandler
 
 try:
@@ -295,29 +294,6 @@ class Crew(BaseModel):
 
         return self
 
-    @model_validator(mode="after")
-    def validate_first_task(self) -> "Crew":
-        """Ensure the first task is not a ConditionalTask."""
-        if self.tasks and isinstance(self.tasks[0], ConditionalTask):
-            raise PydanticCustomError(
-                "invalid_first_task",
-                "The first task cannot be a ConditionalTask.",
-                {},
-            )
-        return self
-
-    @model_validator(mode="after")
-    def validate_async_tasks_not_async(self) -> "Crew":
-        """Ensure that ConditionalTask is not async."""
-        for task in self.tasks:
-            if task.async_execution and isinstance(task, ConditionalTask):
-                raise PydanticCustomError(
-                    "invalid_async_conditional_task",
-                    f"Conditional Task: {task.description} , cannot be executed asynchronously.",  # type: ignore # Argument of type "str" cannot be assigned to parameter "message_template" of type "LiteralString"
-                    {},
-                )
-        return self
-
     @model_validator(mode="after")
     def validate_async_task_cannot_include_sequential_async_tasks_in_context(self):
         """
@@ -354,13 +330,6 @@ class Crew(BaseModel):
                         )
         return self
 
-    @property
-    def key(self) -> str:
-        source = [agent.key for agent in self.agents] + [
-            task.key for task in self.tasks
-        ]
-        return md5("|".join(source).encode()).hexdigest()
-
     def _setup_from_config(self):
         assert self.config is not None, "Config should not be None."
 
@@ -646,13 +615,6 @@ class Crew(BaseModel):
                 )
             self._log_task_start(task, agent_to_use)
 
-            if isinstance(task, ConditionalTask):
-                skipped_task_output = self._handle_conditional_task(
-                    task, task_outputs, futures, task_index, was_replayed
-                )
-                if skipped_task_output:
-                    continue
-
             if task.async_execution:
                 context = self._get_context(
                     task, [last_sync_output] if last_sync_output else []
@@ -665,7 +627,9 @@ class Crew(BaseModel):
                 futures.append((task, future, task_index))
             else:
                 if futures:
-                    task_outputs = self._process_async_tasks(futures, was_replayed)
+                    task_outputs.extend(
+                        self._process_async_tasks(futures, was_replayed)
+                    )
                     futures.clear()
 
                 context = self._get_context(task, task_outputs)
@@ -683,32 +647,6 @@ class Crew(BaseModel):
 
         return self._create_crew_output(task_outputs)
 
-    def _handle_conditional_task(
-        self,
-        task: ConditionalTask,
-        task_outputs: List[TaskOutput],
-        futures: List[Tuple[Task, Future[TaskOutput], int]],
-        task_index: int,
-        was_replayed: bool,
-    ) -> Optional[TaskOutput]:
-        if futures:
-            task_outputs = self._process_async_tasks(futures, was_replayed)
-            futures.clear()
-
-        previous_output = task_outputs[task_index - 1] if task_outputs else None
-        if previous_output is not None and not task.should_execute(previous_output):
-            self._logger.log(
-                "debug",
-                f"Skipping conditional task: {task.description}",
-                color="yellow",
-            )
-            skipped_task_output = task.get_skipped_task_output()
-
-            if not was_replayed:
-                self._store_execution_log(task, skipped_task_output, task_index)
-            return skipped_task_output
-        return None
-
     def _prepare_task(self, task: Task, manager: Optional[BaseAgent]):
         if self.process == Process.hierarchical:
             self._update_manager_tools(task, manager)

src/crewai/task.py

@@ -5,10 +5,8 @@ import threading
 import uuid
 from concurrent.futures import Future
 from copy import copy
-from hashlib import md5
 from typing import Any, Dict, List, Optional, Tuple, Type, Union
 
-
 from langchain_openai import ChatOpenAI
 from opentelemetry.trace import Span
 from pydantic import UUID4, BaseModel, Field, field_validator, model_validator
@@ -175,14 +173,6 @@ class Task(BaseModel):
         """Execute the task synchronously."""
         return self._execute_core(agent, context, tools)
 
-    @property
-    def key(self) -> str:
-        description = self._original_description or self.description
-        expected_output = self._original_expected_output or self.expected_output
-        source = [description, expected_output]
-
-        return md5("|".join(source).encode()).hexdigest()
-
     def execute_async(
         self,
         agent: BaseAgent | None = None,
@@ -248,7 +238,7 @@ class Task(BaseModel):
             self.callback(self.output)
 
         if self._execution_span:
-            self._telemetry.task_ended(self._execution_span, self, agent.crew)
+            self._telemetry.task_ended(self._execution_span, self)
             self._execution_span = None
 
         if self.output_file:

src/crewai/tasks/conditional_task.py

@@ -1,47 +0,0 @@
-from typing import Any, Callable
-
-from pydantic import Field
-
-from crewai.task import Task
-from crewai.tasks.output_format import OutputFormat
-from crewai.tasks.task_output import TaskOutput
-
-
-class ConditionalTask(Task):
-    """
-    A task that can be conditionally executed based on the output of another task.
-    Note: This cannot be the only task you have in your crew and cannot be the first since its needs context from the previous task.
-    """
-
-    condition: Callable[[TaskOutput], bool] = Field(
-        default=None,
-        description="Maximum number of retries for an agent to execute a task when an error occurs.",
-    )
-
-    def __init__(
-        self,
-        condition: Callable[[Any], bool],
-        **kwargs,
-    ):
-        super().__init__(**kwargs)
-        self.condition = condition
-
-    def should_execute(self, context: TaskOutput) -> bool:
-        """
-        Determines whether the conditional task should be executed based on the provided context.
-
-        Args:
-            context (Any): The context or output from the previous task that will be evaluated by the condition.
-
-        Returns:
-            bool: True if the task should be executed, False otherwise.
-        """
-        return self.condition(context)
-
-    def get_skipped_task_output(self):
-        return TaskOutput(
-            description=self.description,
-            raw="",
-            agent=self.agent.role if self.agent else "",
-            output_format=OutputFormat.RAW,
-        )

src/crewai/telemetry/telemetry.py

@@ -92,8 +92,13 @@ class Telemetry:
                     pkg_resources.get_distribution("crewai").version,
                 )
                 self._add_attribute(span, "python_version", platform.python_version())
-                self._add_attribute(span, "crew_key", crew.key)
                 self._add_attribute(span, "crew_id", str(crew.id))
+
+                if crew.share_crew:
+                    self._add_attribute(
+                        span, "crew_inputs", json.dumps(inputs) if inputs else None
+                    )
+
                 self._add_attribute(span, "crew_process", crew.process)
                 self._add_attribute(span, "crew_memory", crew.memory)
                 self._add_attribute(span, "crew_number_of_tasks", len(crew.tasks))
@@ -104,7 +109,6 @@ class Telemetry:
                     json.dumps(
                         [
                             {
-                                "key": agent.key,
                                 "id": str(agent.id),
                                 "role": agent.role,
                                 "goal": agent.goal,
@@ -129,14 +133,12 @@ class Telemetry:
                     json.dumps(
                         [
                             {
-                                "key": task.key,
                                 "id": str(task.id),
                                 "description": task.description,
                                 "expected_output": task.expected_output,
                                 "async_execution?": task.async_execution,
                                 "human_input?": task.human_input,
                                 "agent_role": task.agent.role if task.agent else "None",
-                                "agent_key": task.agent.key if task.agent else None,
                                 "context": (
                                     [task.description for task in task.context]
                                     if task.context
@@ -155,12 +157,6 @@ class Telemetry:
                 self._add_attribute(span, "platform_system", platform.system())
                 self._add_attribute(span, "platform_version", platform.version())
                 self._add_attribute(span, "cpus", os.cpu_count())
-
-                if crew.share_crew:
-                    self._add_attribute(
-                        span, "crew_inputs", json.dumps(inputs) if inputs else None
-                    )
-
                 span.set_status(Status(StatusCode.OK))
                 span.end()
             except Exception:
@@ -174,9 +170,8 @@ class Telemetry:
 
                 created_span = tracer.start_span("Task Created")
 
-                self._add_attribute(created_span, "crew_key", crew.key)
                 self._add_attribute(created_span, "crew_id", str(crew.id))
-                self._add_attribute(created_span, "task_key", task.key)
+                self._add_attribute(created_span, "task_index", crew.tasks.index(task))
                 self._add_attribute(created_span, "task_id", str(task.id))
 
                 if crew.share_crew:
@@ -192,9 +187,8 @@ class Telemetry:
 
                 span = tracer.start_span("Task Execution")
 
-                self._add_attribute(span, "crew_key", crew.key)
                 self._add_attribute(span, "crew_id", str(crew.id))
-                self._add_attribute(span, "task_key", task.key)
+                self._add_attribute(span, "task_index", crew.tasks.index(task))
                 self._add_attribute(span, "task_id", str(task.id))
 
                 if crew.share_crew:
@@ -209,16 +203,13 @@ class Telemetry:
 
         return None
 
-    def task_ended(self, span: Span, task: Task, crew: Crew):
+    def task_ended(self, span: Span, task: Task):
         """Records task execution in a crew."""
         if self.ready:
             try:
-                if crew.share_crew:
-                    self._add_attribute(
-                        span,
-                        "task_output",
-                        task.output.raw if task.output else "",
-                    )
+                self._add_attribute(
+                    span, "output", task.output.raw_output if task.output else ""
+                )
 
                 span.set_status(Status(StatusCode.OK))
                 span.end()
@@ -293,10 +284,10 @@ class Telemetry:
         """Records the complete execution of a crew.
         This is only collected if the user has opted-in to share the crew.
         """
-        self.crew_creation(crew, inputs)
-
         if (self.ready) and (crew.share_crew):
             try:
+                self.crew_creation(crew, inputs)
+
                 tracer = trace.get_tracer("crewai.telemetry")
                 span = tracer.start_span("Crew Execution")
                 self._add_attribute(
@@ -304,7 +295,6 @@ class Telemetry:
                     "crewai_version",
                     pkg_resources.get_distribution("crewai").version,
                 )
-                self._add_attribute(span, "crew_key", crew.key)
                 self._add_attribute(span, "crew_id", str(crew.id))
                 self._add_attribute(
                     span, "crew_inputs", json.dumps(inputs) if inputs else None
@@ -315,7 +305,6 @@ class Telemetry:
                     json.dumps(
                         [
                             {
-                                "key": agent.key,
                                 "id": str(agent.id),
                                 "role": agent.role,
                                 "goal": agent.goal,
@@ -346,7 +335,6 @@ class Telemetry:
                                 "async_execution?": task.async_execution,
                                 "human_input?": task.human_input,
                                 "agent_role": task.agent.role if task.agent else "None",
-                                "agent_key": task.agent.key if task.agent else None,
                                 "context": (
                                     [task.description for task in task.context]
                                     if task.context

src/crewai/utilities/printer.py

@@ -10,8 +10,6 @@ class Printer:
             self._print_bold_purple(content)
         elif color == "bold_blue":
             self._print_bold_blue(content)
-        elif color == "yellow":
-            self._print_yellow(content)
         else:
             print(content)
 
@@ -29,6 +27,3 @@ class Printer:
 
     def _print_bold_blue(self, content):
         print("\033[1m\033[94m {}\033[00m".format(content))
-
-    def _print_yellow(self, content):
-        print("\033[93m {}\033[00m".format(content))

tests/agents/agent_builder/base_agent_test.py

@@ -1,36 +0,0 @@
-import hashlib
-from typing import Any, List, Optional
-
-from crewai.agents.agent_builder.base_agent import BaseAgent
-from pydantic import BaseModel
-
-
-class TestAgent(BaseAgent):
-    def execute_task(
-        self,
-        task: Any,
-        context: Optional[str] = None,
-        tools: Optional[List[Any]] = None,
-    ) -> str:
-        return ""
-
-    def create_agent_executor(self, tools=None) -> None: ...
-
-    def _parse_tools(self, tools: List[Any]) -> List[Any]:
-        return []
-
-    def get_delegation_tools(self, agents: List["BaseAgent"]): ...
-
-    def get_output_converter(
-        self, llm: Any, text: str, model: type[BaseModel] | None, instructions: str
-    ): ...
-
-
-def test_key():
-    agent = TestAgent(
-        role="test role",
-        goal="test goal",
-        backstory="test backstory",
-    )
-    hash = hashlib.md5("test role|test goal|test backstory".encode()).hexdigest()
-    assert agent.key == hash

tests/cassettes/test_conditional_task_last_task_when_conditional_is_false.yaml

@@ -1,151 +0,0 @@
-interactions:
-- request:
-    body: '{"messages": [{"content": "You are Researcher. You''re an expert researcher,
-      specialized in technology, software engineering, AI and startups. You work as
-      a freelancer and is now working on doing research and analysis for a new customer.\nYour
-      personal goal is: Make the best research and analysis on content about AI and
-      AI agentsTo give my best complete final answer to the task use the exact following
-      format:\n\nThought: I now can give a great answer\nFinal Answer: my best complete
-      final answer to the task.\nYour final answer must be the great and the most
-      complete as possible, it must be outcome described.\n\nI MUST use these formats,
-      my job depends on it!\nCurrent Task: Say Hi\n\nThis is the expect criteria for
-      your final answer: Hi \n you MUST return the actual complete content as the
-      final answer, not a summary.\n\nBegin! This is VERY important to you, use the
-      tools available and give your best Final Answer, your job depends on it!\n\nThought:\n",
-      "role": "user"}], "model": "gpt-4o", "n": 1, "stop": ["\nObservation"], "stream":
-      true, "temperature": 0.7}'
-    headers:
-      accept:
-      - application/json
-      accept-encoding:
-      - gzip, deflate
-      connection:
-      - keep-alive
-      content-length:
-      - '1072'
-      content-type:
-      - application/json
-      cookie:
-      - _cfuvid=Nxp5RE8CN2EyHxMIvB_SaTizIH5w0eWt9SPilMuIjMk-1721227661802-0.0.1.1-604800000;
-        __cf_bm=jadAYV2gh7qPDzgKO9A4JzJTaI9c2fnnjxloIQZeOIw-1721227661-1.0.1.1-apaA8kQyGiEV3kOuXHe8z1zeyvxd_jBHCQpdqWirUlylrUo.uRZjRDueI.sSXS4hXoWkyIW6kIMt7lamQM2mdw
-      host:
-      - api.openai.com
-      user-agent:
-      - OpenAI/Python 1.35.10
-      x-stainless-arch:
-      - arm64
-      x-stainless-async:
-      - 'false'
-      x-stainless-lang:
-      - python
-      x-stainless-os:
-      - MacOS
-      x-stainless-package-version:
-      - 1.35.10
-      x-stainless-runtime:
-      - CPython
-      x-stainless-runtime-version:
-      - 3.12.3
-    method: POST
-    uri: https://api.openai.com/v1/chat/completions
-  response:
-    body:
-      string: 'data: {"id":"chatcmpl-9m0FB4Oy6X0apYX2wcQ30rTBkmtxT","object":"chat.completion.chunk","created":1721227709,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-9m0FB4Oy6X0apYX2wcQ30rTBkmtxT","object":"chat.completion.chunk","created":1721227709,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"I"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-9m0FB4Oy6X0apYX2wcQ30rTBkmtxT","object":"chat.completion.chunk","created":1721227709,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
-        now"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-9m0FB4Oy6X0apYX2wcQ30rTBkmtxT","object":"chat.completion.chunk","created":1721227709,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
-        can"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-9m0FB4Oy6X0apYX2wcQ30rTBkmtxT","object":"chat.completion.chunk","created":1721227709,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
-        give"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-9m0FB4Oy6X0apYX2wcQ30rTBkmtxT","object":"chat.completion.chunk","created":1721227709,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
-        a"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-9m0FB4Oy6X0apYX2wcQ30rTBkmtxT","object":"chat.completion.chunk","created":1721227709,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
-        great"},"logprobs":null,"finish_reason":null}]}
-
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tests/crew_test.py

@@ -1,13 +1,13 @@
 """Test Agent creation and execution basic functionality."""
 
-import hashlib
 import json
 from concurrent.futures import Future
 from unittest import mock
-from unittest.mock import MagicMock, patch
+from unittest.mock import patch
 
 import pydantic_core
 import pytest
+
 from crewai.agent import Agent
 from crewai.agents.cache import CacheHandler
 from crewai.crew import Crew
@@ -15,7 +15,6 @@ from crewai.crews.crew_output import CrewOutput
 from crewai.memory.contextual.contextual_memory import ContextualMemory
 from crewai.process import Process
 from crewai.task import Task
-from crewai.tasks.conditional_task import ConditionalTask
 from crewai.tasks.output_format import OutputFormat
 from crewai.tasks.task_output import TaskOutput
 from crewai.utilities import Logger, RPMController
@@ -917,7 +916,9 @@ async def test_kickoff_async_basic_functionality_and_output():
 @pytest.mark.vcr(filter_headers=["authorization"])
 @pytest.mark.asyncio
 async def test_async_kickoff_for_each_async_basic_functionality_and_output():
-    """Tests the basic functionality and output of kickoff_for_each_async."""
+    """Tests the basic functionality and output of akickoff_for_each_async."""
+    from unittest.mock import patch
+
     inputs = [
         {"topic": "dog"},
         {"topic": "cat"},
@@ -943,13 +944,8 @@ async def test_async_kickoff_for_each_async_basic_functionality_and_output():
         agent=agent,
     )
 
-    async def mock_kickoff_async(**kwargs):
-        input_data = kwargs.get("inputs")
-        index = [input_["topic"] for input_ in inputs].index(input_data["topic"])
-        return expected_outputs[index]
-
     with patch.object(
-        Crew, "kickoff_async", side_effect=mock_kickoff_async
+        Crew, "kickoff_async", side_effect=expected_outputs
     ) as mock_kickoff_async:
         crew = Crew(agents=[agent], tasks=[task])
 
@@ -2238,185 +2234,3 @@ def test_replay_from_task_setup_context():
         assert crew.tasks[0].output.output_format == OutputFormat.RAW
 
         assert crew.tasks[1].prompt_context == "context raw output"
-
-
-def test_key():
-    tasks = [
-        Task(
-            description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
-            expected_output="Bullet point list of 5 important events.",
-            agent=researcher,
-        ),
-        Task(
-            description="Write a 1 amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-            expected_output="A 4 paragraph article about AI.",
-            agent=writer,
-        ),
-    ]
-    crew = Crew(
-        agents=[researcher, writer],
-        process=Process.sequential,
-        tasks=tasks,
-    )
-    hash = hashlib.md5(
-        f"{researcher.key}|{writer.key}|{tasks[0].key}|{tasks[1].key}".encode()
-    ).hexdigest()
-
-    assert crew.key == hash
-
-
-def test_conditional_task_requirement_breaks_when_singular_conditional_task():
-    def condition_fn(output) -> bool:
-        return output.raw.startswith("Andrew Ng has!!")
-
-    task = ConditionalTask(
-        description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-        expected_output="5 bullet points with a paragraph for each idea.",
-        condition=condition_fn,
-    )
-
-    with pytest.raises(pydantic_core._pydantic_core.ValidationError):
-        Crew(
-            agents=[researcher, writer],
-            tasks=[task],
-        )
-
-
-@pytest.mark.vcr(filter_headers=["authorization"])
-def test_conditional_task_last_task_when_conditional_is_true():
-    def condition_fn(output) -> bool:
-        return True
-
-    task1 = Task(
-        description="Say Hi",
-        expected_output="Hi",
-        agent=researcher,
-    )
-    task2 = ConditionalTask(
-        description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-        expected_output="5 bullet points with a paragraph for each idea.",
-        condition=condition_fn,
-        agent=writer,
-    )
-
-    crew = Crew(
-        agents=[researcher, writer],
-        tasks=[task1, task2],
-    )
-    result = crew.kickoff()
-    assert result.raw.startswith(
-        "1. **The Rise of AI Agents in Customer Service: Revolutionizing Customer Interactions**"
-    )
-
-
-@pytest.mark.vcr(filter_headers=["authorization"])
-def test_conditional_task_last_task_when_conditional_is_false():
-    def condition_fn(output) -> bool:
-        return False
-
-    task1 = Task(
-        description="Say Hi",
-        expected_output="Hi",
-        agent=researcher,
-    )
-    task2 = ConditionalTask(
-        description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-        expected_output="5 bullet points with a paragraph for each idea.",
-        condition=condition_fn,
-        agent=writer,
-    )
-
-    crew = Crew(
-        agents=[researcher, writer],
-        tasks=[task1, task2],
-    )
-    result = crew.kickoff()
-    print(result.raw)
-    assert result.raw == "Hi"
-
-
-def test_conditional_task_requirement_breaks_when_task_async():
-    def my_condition(context):
-        return context.get("some_value") > 10
-
-    task = ConditionalTask(
-        description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-        expected_output="5 bullet points with a paragraph for each idea.",
-        execute_async=True,
-        condition=my_condition,
-        agent=researcher,
-    )
-    task2 = Task(
-        description="Say Hi",
-        expected_output="Hi",
-        agent=writer,
-    )
-
-    with pytest.raises(pydantic_core._pydantic_core.ValidationError):
-        Crew(
-            agents=[researcher, writer],
-            tasks=[task, task2],
-        )
-
-
-@pytest.mark.vcr(filter_headers=["authorization"])
-def test_conditional_should_skip():
-    task1 = Task(description="Return hello", expected_output="say hi", agent=researcher)
-
-    condition_mock = MagicMock(return_value=False)
-    task2 = ConditionalTask(
-        description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-        expected_output="5 bullet points with a paragraph for each idea.",
-        condition=condition_mock,
-        agent=writer,
-    )
-    crew_met = Crew(
-        agents=[researcher, writer],
-        tasks=[task1, task2],
-    )
-    with patch.object(Task, "execute_sync") as mock_execute_sync:
-        mock_execute_sync.return_value = TaskOutput(
-            description="Task 1 description",
-            raw="Task 1 output",
-            agent="Researcher",
-        )
-
-        result = crew_met.kickoff()
-        assert mock_execute_sync.call_count == 1
-
-        assert condition_mock.call_count == 1
-        assert condition_mock() is False
-
-        assert task2.output is None
-        assert result.raw.startswith("Task 1 output")
-
-
-@pytest.mark.vcr(filter_headers=["authorization"])
-def test_conditional_should_execute():
-    task1 = Task(description="Return hello", expected_output="say hi", agent=researcher)
-
-    condition_mock = MagicMock(
-        return_value=True
-    )  # should execute this conditional task
-    task2 = ConditionalTask(
-        description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-        expected_output="5 bullet points with a paragraph for each idea.",
-        condition=condition_mock,
-        agent=writer,
-    )
-    crew_met = Crew(
-        agents=[researcher, writer],
-        tasks=[task1, task2],
-    )
-    with patch.object(Task, "execute_sync") as mock_execute_sync:
-        mock_execute_sync.return_value = TaskOutput(
-            description="Task 1 description",
-            raw="Task 1 output",
-            agent="Researcher",
-        )
-
-        crew_met.kickoff()
-
-        assert condition_mock.call_count == 1
-        assert condition_mock() is True
-        assert mock_execute_sync.call_count == 2

tests/task_test.py

@@ -1,17 +1,16 @@
 """Test Agent creation and execution basic functionality."""
 
-import hashlib
 import json
 from unittest.mock import MagicMock, patch
 
 import pytest
-from crewai import Agent, Crew, Process, Task
-from crewai.tasks.conditional_task import ConditionalTask
-from crewai.tasks.task_output import TaskOutput
-from crewai.utilities.converter import Converter
 from pydantic import BaseModel
 from pydantic_core import ValidationError
 
+from crewai import Agent, Crew, Process, Task
+from crewai.tasks.task_output import TaskOutput
+from crewai.utilities.converter import Converter
+
 
 def test_task_tool_reflect_agent_tools():
     from langchain.tools import tool
@@ -696,19 +695,6 @@ def test_task_definition_based_on_dict():
     assert task.agent is None
 
 
-def test_conditional_task_definition_based_on_dict():
-    config = {
-        "description": "Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work', check examples to based your evaluation.",
-        "expected_output": "The score of the title.",
-    }
-
-    task = ConditionalTask(config=config, condition=lambda x: True)
-
-    assert task.description == config["description"]
-    assert task.expected_output == config["expected_output"]
-    assert task.agent is None
-
-
 def test_interpolate_inputs():
     task = Task(
         description="Give me a list of 5 interesting ideas about {topic} to explore for an article, what makes them unique and interesting.",
@@ -805,22 +791,3 @@ def test_task_output_str_with_none():
     )
 
     assert str(task_output) == ""
-
-
-def test_key():
-    original_description = "Give me a list of 5 interesting ideas about {topic} to explore for an article, what makes them unique and interesting."
-    original_expected_output = "Bullet point list of 5 interesting ideas about {topic}."
-    task = Task(
-        description=original_description,
-        expected_output=original_expected_output,
-    )
-    hash = hashlib.md5(
-        f"{original_description}|{original_expected_output}".encode()
-    ).hexdigest()
-
-    assert task.key == hash, "The key should be the hash of the description."
-
-    task.interpolate_inputs(inputs={"topic": "AI"})
-    assert (
-        task.key == hash
-    ), "The key should be the hash of the non-interpolated description."