Fix issues found by linter

Add more tests. Clean up docs. Improve conditional task
Merge branch 'main' of github.com:joaomdmoura/crewAI into conditional-task-f
2026-01-01 12:18:31 +00:00 · 2024-07-17 11:05:31 -04:00 · 2024-07-17 11:03:11 -04:00 · 2024-07-16 20:34:35 -07:00 · 2024-07-16 20:11:52 -07:00 · 2024-07-16 22:05:58 -04:00
26 changed files with 10157 additions and 1636 deletions
--- a/docs/core-concepts/Crews.md
+++ b/docs/core-concepts/Crews.md
@@ -4,36 +4,37 @@ description: Understanding and utilizing crews in the crewAI framework with comp
 ---

 ## What is a Crew?
+
 A crew in crewAI represents a collaborative group of agents working together to achieve a set of tasks. Each crew defines the strategy for task execution, agent collaboration, and the overall workflow.

 ## Crew Attributes

-| Attribute                   | Parameters          | Description                                                                                              |
-| :-------------------------- | :------------------ | :------------------------------------------------------------------------------------------------------- |
-| **Tasks**                   | `tasks`               | A list of tasks assigned to the crew.                                                                    |
-| **Agents**                  | `agents`              | A list of agents that are part of the crew.                                                              |
-| **Process** *(optional)*    | `process`             | The process flow (e.g., sequential, hierarchical) the crew follows.                                      |
-| **Verbose** *(optional)*    | `verbose`             | The verbosity level for logging during execution.                                                        |
-| **Manager LLM** *(optional)*| `manager_llm`         | The language model used by the manager agent in a hierarchical process. **Required when using a hierarchical process.** |
-| **Function Calling LLM** *(optional)* | `function_calling_llm` | If passed, the crew will use this LLM to do function calling for tools for all agents in the crew. Each agent can have its own LLM, which overrides the crew's LLM for function calling. |
-| **Config** *(optional)*     | `config`              | Optional configuration settings for the crew, in `Json` or `Dict[str, Any]` format.                       |
-| **Max RPM** *(optional)*    | `max_rpm`             | Maximum requests per minute the crew adheres to during execution.                                         |
-| **Language**  *(optional)*  | `language`            | Language used for the crew, defaults to English.                                                          |
-| **Language File** *(optional)* | `language_file`       | Path to the language file to be used for the crew.                                                        |
-| **Memory** *(optional)*     | `memory`              | Utilized for storing execution memories (short-term, long-term, entity memory).                           |
-| **Cache** *(optional)*      | `cache`               | Specifies whether to use a cache for storing the results of tools' execution.                             |
-| **Embedder** *(optional)*   | `embedder`            | Configuration for the embedder to be used by the crew. Mostly used by memory for now.                     |
-| **Full Output** *(optional)*| `full_output`         | Whether the crew should return the full output with all tasks outputs or just the final output.           |
-| **Step Callback** *(optional)* | `step_callback`       | A function that is called after each step of every agent. This can be used to log the agent's actions or to perform other operations; it won't override the agent-specific `step_callback`. |
-| **Task Callback** *(optional)* | `task_callback`       | A function that is called after the completion of each task. Useful for monitoring or additional operations post-task execution. |
-| **Share Crew** *(optional)* | `share_crew`          | Whether you want to share the complete crew information and execution with the crewAI team to make the library better, and allow us to train models. |
-| **Output Log File** *(optional)* | `output_log_file`    | Whether you want to have a file with the complete crew output and execution. You can set it using True and it will default to the folder you are currently in and it will be called logs.txt or passing a string with the full path and name of the file. |
-| **Manager Agent** *(optional)* | `manager_agent`      | `manager` sets a custom agent that will be used as a manager.                                             |
-| **Manager Callbacks** *(optional)* | `manager_callbacks` | `manager_callbacks` takes a list of callback handlers to be executed by the manager agent when a hierarchical process is used. |
-| **Prompt File** *(optional)* | `prompt_file`         | Path to the prompt JSON file to be used for the crew.                                                     |
+| Attribute                             | Parameters             | Description                                                                                                                                                                                                                                               |
+| :------------------------------------ | :--------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **Tasks**                             | `tasks`                | A list of tasks assigned to the crew.                                                                                                                                                                                                                     |
+| **Agents**                            | `agents`               | A list of agents that are part of the crew.                                                                                                                                                                                                               |
+| **Process** _(optional)_              | `process`              | The process flow (e.g., sequential, hierarchical) the crew follows.                                                                                                                                                                                       |
+| **Verbose** _(optional)_              | `verbose`              | The verbosity level for logging during execution.                                                                                                                                                                                                         |
+| **Manager LLM** _(optional)_          | `manager_llm`          | The language model used by the manager agent in a hierarchical process. **Required when using a hierarchical process.**                                                                                                                                   |
+| **Function Calling LLM** _(optional)_ | `function_calling_llm` | If passed, the crew will use this LLM to do function calling for tools for all agents in the crew. Each agent can have its own LLM, which overrides the crew's LLM for function calling.                                                                  |
+| **Config** _(optional)_               | `config`               | Optional configuration settings for the crew, in `Json` or `Dict[str, Any]` format.                                                                                                                                                                       |
+| **Max RPM** _(optional)_              | `max_rpm`              | Maximum requests per minute the crew adheres to during execution.                                                                                                                                                                                         |
+| **Language** _(optional)_             | `language`             | Language used for the crew, defaults to English.                                                                                                                                                                                                          |
+| **Language File** _(optional)_        | `language_file`        | Path to the language file to be used for the crew.                                                                                                                                                                                                        |
+| **Memory** _(optional)_               | `memory`               | Utilized for storing execution memories (short-term, long-term, entity memory).                                                                                                                                                                           |
+| **Cache** _(optional)_                | `cache`                | Specifies whether to use a cache for storing the results of tools' execution.                                                                                                                                                                             |
+| **Embedder** _(optional)_             | `embedder`             | Configuration for the embedder to be used by the crew. Mostly used by memory for now.                                                                                                                                                                     |
+| **Full Output** _(optional)_          | `full_output`          | Whether the crew should return the full output with all tasks outputs or just the final output.                                                                                                                                                           |
+| **Step Callback** _(optional)_        | `step_callback`        | A function that is called after each step of every agent. This can be used to log the agent's actions or to perform other operations; it won't override the agent-specific `step_callback`.                                                               |
+| **Task Callback** _(optional)_        | `task_callback`        | A function that is called after the completion of each task. Useful for monitoring or additional operations post-task execution.                                                                                                                          |
+| **Share Crew** _(optional)_           | `share_crew`           | Whether you want to share the complete crew information and execution with the crewAI team to make the library better, and allow us to train models.                                                                                                      |
+| **Output Log File** _(optional)_      | `output_log_file`      | Whether you want to have a file with the complete crew output and execution. You can set it using True and it will default to the folder you are currently in and it will be called logs.txt or passing a string with the full path and name of the file. |
+| **Manager Agent** _(optional)_        | `manager_agent`        | `manager` sets a custom agent that will be used as a manager.                                                                                                                                                                                             |
+| **Manager Callbacks** _(optional)_    | `manager_callbacks`    | `manager_callbacks` takes a list of callback handlers to be executed by the manager agent when a hierarchical process is used.                                                                                                                            |
+| **Prompt File** _(optional)_          | `prompt_file`          | Path to the prompt JSON file to be used for the crew.                                                                                                                                                                                                     |

 !!! note "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.
+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.

 ## Creating a Crew

@@ -89,6 +90,57 @@ my_crew = Crew(
 )
 ```

+## Crew Output
+
+!!! note "Understanding Crew Outputs"
+The output of a crew in the crewAI framework is encapsulated within the `CrewOutput` class.
+This class provides a structured way to access results of the crew's execution, including various formats such as raw strings, JSON, and Pydantic models.
+The `CrewOutput` includes the results from the final task output, token usage, and individual task outputs.
+
+### Crew Output Attributes
+
+| Attribute        | Parameters     | Type                       | Description                                                                                          |
+| :--------------- | :------------- | :------------------------- | :--------------------------------------------------------------------------------------------------- |
+| **Raw**          | `raw`          | `str`                      | The raw output of the crew. This is the default format for the output.                               |
+| **Pydantic**     | `pydantic`     | `Optional[BaseModel]`      | A Pydantic model object representing the structured output of the crew.                              |
+| **JSON Dict**    | `json_dict`    | `Optional[Dict[str, Any]]` | A dictionary representing the JSON output of the crew.                                               |
+| **Tasks Output** | `tasks_output` | `List[TaskOutput]`         | A list of `TaskOutput` objects, each representing the output of a task in the crew.                  |
+| **Token Usage**  | `token_usage`  | `Dict[str, Any]`           | A summary of token usage, providing insights into the language model's performance during execution. |
+
+### Crew Output Methods and Properties
+
+| Method/Property | Description                                                                                       |
+| :-------------- | :------------------------------------------------------------------------------------------------ |
+| **json**        | Returns the JSON string representation of the crew output if the output format is JSON.           |
+| **to_dict**     | Converts the JSON and Pydantic outputs to a dictionary.                                           |
+| \***\*str\*\*** | Returns the string representation of the crew output, prioritizing Pydantic, then JSON, then raw. |
+
+### Accessing Crew Outputs
+
+Once a crew has been executed, its output can be accessed through the `output` attribute of the `Crew` object. The `CrewOutput` class provides various ways to interact with and present this output.
+
+#### Example
+
+```python
+# Example crew execution
+crew = Crew(
+    agents=[research_agent, writer_agent],
+    tasks=[research_task, write_article_task],
+    verbose=2
+)
+
+result = crew.kickoff()
+
+# Accessing the crew output
+print(f"Raw Output: {crew_output.raw}")
+if crew_output.json_dict:
+    print(f"JSON Output: {json.dumps(crew_output.json_dict, indent=2)}")
+if crew_output.pydantic:
+    print(f"Pydantic Output: {crew_output.pydantic}")
+print(f"Tasks Output: {crew_output.tasks_output}")
+print(f"Token Usage: {crew_output.token_usage}")
+```
+
 ## Memory Utilization

 Crews can utilize memory (short-term, long-term, and entity memory) to enhance their execution and learning over time. This feature allows crews to store and recall execution memories, aiding in decision-making and task execution strategies.
--- a/docs/core-concepts/Tasks.md
+++ b/docs/core-concepts/Tasks.md
@@ -4,27 +4,29 @@ description: Detailed guide on managing and creating tasks within the crewAI fra
 ---

 ## Overview of a Task
+
 !!! note "What is a Task?"
-    In the crewAI framework, tasks are specific assignments completed by agents. They provide all necessary details for execution, such as a description, the agent responsible, required tools, and more, facilitating a wide range of action complexities.
+In the crewAI framework, tasks are specific assignments completed by agents. They provide all necessary details for execution, such as a description, the agent responsible, required tools, and more, facilitating a wide range of action complexities.

 Tasks within crewAI can be collaborative, requiring multiple agents to work together. This is managed through the task properties and orchestrated by the Crew's process, enhancing teamwork and efficiency.

 ## Task Attributes

-| Attribute              | Parameters           | Description                                                                                   |
-| :----------------------| :------------------- | :-------------------------------------------------------------------------------------------- |
-| **Description**        | `description`          | A clear, concise statement of what the task entails.                                          |
-| **Agent**              | `agent`                | The agent responsible for the task, assigned either directly or by the crew's process.        |
-| **Expected Output**    | `expected_output`      | A detailed description of what the task's completion looks like.                              |
-| **Tools** *(optional)* | `tools`                | The functions or capabilities the agent can utilize to perform the task.                      |
-| **Async Execution** *(optional)* | `async_execution`      | If set, the task executes asynchronously, allowing progression without waiting for completion.|
-| **Context**  *(optional)* | `context`              | Specifies tasks whose outputs are used as context for this task.                              |
-| **Config** *(optional)* | `config`               | Additional configuration details for the agent executing the task, allowing further customization. |
-| **Output JSON**  *(optional)* | `output_json`          | Outputs a JSON object, requiring an OpenAI client. Only one output format can be set.         |
-| **Output Pydantic**  *(optional)* | `output_pydantic`      | Outputs a Pydantic model object, requiring an OpenAI client. Only one output format can be set. |
-| **Output File**  *(optional)* | `output_file`          | Saves the task output to a file. If used with `Output JSON` or `Output Pydantic`, specifies how the output is saved. |
-| **Callback**  *(optional)* | `callback`             | A Python callable that is executed with the task's output upon completion.                    |
-| **Human Input** *(optional)* | `human_input`         | Indicates if the task requires human feedback at the end, useful for tasks needing human oversight. |
+| Attribute                        | Parameters        | Description                                                                                                          |
+| :------------------------------- | :---------------- | :------------------------------------------------------------------------------------------------------------------- |
+| **Description**                  | `description`     | A clear, concise statement of what the task entails.                                                                 |
+| **Agent**                        | `agent`           | The agent responsible for the task, assigned either directly or by the crew's process.                               |
+| **Expected Output**              | `expected_output` | A detailed description of what the task's completion looks like.                                                     |
+| **Tools** _(optional)_           | `tools`           | The functions or capabilities the agent can utilize to perform the task.                                             |
+| **Async Execution** _(optional)_ | `async_execution` | If set, the task executes asynchronously, allowing progression without waiting for completion.                       |
+| **Context** _(optional)_         | `context`         | Specifies tasks whose outputs are used as context for this task.                                                     |
+| **Config** _(optional)_          | `config`          | Additional configuration details for the agent executing the task, allowing further customization.                   |
+| **Output JSON** _(optional)_     | `output_json`     | Outputs a JSON object, requiring an OpenAI client. Only one output format can be set.                                |
+| **Output Pydantic** _(optional)_ | `output_pydantic` | Outputs a Pydantic model object, requiring an OpenAI client. Only one output format can be set.                      |
+| **Output File** _(optional)_     | `output_file`     | Saves the task output to a file. If used with `Output JSON` or `Output Pydantic`, specifies how the output is saved. |
+| **Output** _(optional)_          | `output`          | The output of the task, containing the raw, JSON, and Pydantic output plus additional details.                       |
+| **Callback** _(optional)_        | `callback`        | A Python callable that is executed with the task's output upon completion.                                           |
+| **Human Input** _(optional)_     | `human_input`     | Indicates if the task requires human feedback at the end, useful for tasks needing human oversight.                  |

 ## Creating a Task

@@ -35,12 +37,75 @@ from crewai import Task

 task = Task(
    description='Find and summarize the latest and most relevant news on AI',
-    agent=sales_agent
+    agent=sales_agent,
+    expected_output='A bullet list summary of the top 5 most important AI news',
 )
 ```

 !!! note "Task Assignment"
-    Directly specify an `agent` for assignment or let the `hierarchical` CrewAI's process decide based on roles, availability, etc.
+Directly specify an `agent` for assignment or let the `hierarchical` CrewAI's process decide based on roles, availability, etc.
+
+## Task Output
+
+!!! note "Understanding Task Outputs"
+The output of a task in the crewAI framework is encapsulated within the `TaskOutput` class. This class provides a structured way to access results of a task, including various formats such as raw strings, JSON, and Pydantic models.
+By default, the `TaskOutput` will only include the `raw` output. A `TaskOutput` will only include the `pydantic` or `json_dict` output if the original `Task` object was configured with `output_pydantic` or `output_json`, respectively.
+
+### Task Output Attributes
+
+| Attribute         | Parameters      | Type                       | Description                                                                                        |
+| :---------------- | :-------------- | :------------------------- | :------------------------------------------------------------------------------------------------- |
+| **Description**   | `description`   | `str`                      | A brief description of the task.                                                                   |
+| **Summary**       | `summary`       | `Optional[str]`            | A short summary of the task, auto-generated from the description.                                  |
+| **Raw**           | `raw`           | `str`                      | The raw output of the task. This is the default format for the output.                             |
+| **Pydantic**      | `pydantic`      | `Optional[BaseModel]`      | A Pydantic model object representing the structured output of the task.                            |
+| **JSON Dict**     | `json_dict`     | `Optional[Dict[str, Any]]` | A dictionary representing the JSON output of the task.                                             |
+| **Agent**         | `agent`         | `str`                      | The agent that executed the task.                                                                  |
+| **Output Format** | `output_format` | `OutputFormat`             | The format of the task output, with options including RAW, JSON, and Pydantic. The default is RAW. |
+
+### Task Output Methods and Properties
+
+| Method/Property | Description                                                                                       |
+| :-------------- | :------------------------------------------------------------------------------------------------ |
+| **json**        | Returns the JSON string representation of the task output if the output format is JSON.           |
+| **to_dict**     | Converts the JSON and Pydantic outputs to a dictionary.                                           |
+| \***\*str\*\*** | Returns the string representation of the task output, prioritizing Pydantic, then JSON, then raw. |
+
+### Accessing Task Outputs
+
+Once a task has been executed, its output can be accessed through the `output` attribute of the `Task` object. The `TaskOutput` class provides various ways to interact with and present this output.
+
+#### Example
+
+```python
+# Example task
+task = Task(
+    description='Find and summarize the latest AI news',
+    expected_output='A bullet list summary of the top 5 most important AI news',
+    agent=research_agent,
+    tools=[search_tool]
+)
+
+# Execute the crew
+crew = Crew(
+    agents=[research_agent],
+    tasks=[task],
+    verbose=2
+)
+
+result = crew.kickoff()
+
+# Accessing the task output
+task_output = task.output
+
+print(f"Task Description: {task_output.description}")
+print(f"Task Summary: {task_output.summary}")
+print(f"Raw Output: {task_output.raw}")
+if task_output.json_dict:
+    print(f"JSON Output: {json.dumps(task_output.json_dict, indent=2)}")
+if task_output.pydantic:
+    print(f"Pydantic Output: {task_output.pydantic}")
+```

 ## Integrating Tools with Tasks

--- a/docs/how-to/Conditional-Tasks.md
+++ b/docs/how-to/Conditional-Tasks.md
@@ -0,0 +1,87 @@
+---
+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)
+```
--- a/docs/index.md
+++ b/docs/index.md
@@ -118,6 +118,11 @@ 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
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -146,6 +146,7 @@ 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:
@@ -181,6 +182,7 @@ nav:
    - Landing Page Generator: https://github.com/joaomdmoura/crewAI-examples/tree/main/landing_page_generator"
    - Prepare for meetings: https://github.com/joaomdmoura/crewAI-examples/tree/main/prep-for-a-meeting"
  - Telemetry: 'telemetry/Telemetry.md'
+  - Change Log: 'https://github.com/crewAIInc/crewAI/releases'

 extra_css:
  - stylesheets/output.css
--- a/src/crewai/agent.py
+++ b/src/crewai/agent.py
@@ -181,7 +181,6 @@ 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
        )
@@ -204,7 +203,7 @@ class Agent(BaseAgent):
            self._times_executed += 1
            if self._times_executed > self.max_retry_limit:
                raise e
-            self.execute_task(task, context, tools)
+            result = self.execute_task(task, context, tools)

        if self.max_rpm:
            self._rpm_controller.stop_rpm_counter()
--- a/src/crewai/agents/agent_builder/base_agent.py
+++ b/src/crewai/agents/agent_builder/base_agent.py
@@ -1,6 +1,7 @@
 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 (
@@ -162,6 +163,11 @@ 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,
--- a/src/crewai/crew.py
+++ b/src/crewai/crew.py
@@ -2,6 +2,7 @@ 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
@@ -27,6 +28,7 @@ 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
@@ -36,12 +38,11 @@ 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:
@@ -294,6 +295,29 @@ 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):
        """
@@ -330,6 +354,13 @@ 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."

@@ -615,6 +646,13 @@ 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 []
@@ -627,9 +665,7 @@ class Crew(BaseModel):
                futures.append((task, future, task_index))
            else:
                if futures:
-                    task_outputs.extend(
-                        self._process_async_tasks(futures, was_replayed)
-                    )
+                    task_outputs = self._process_async_tasks(futures, was_replayed)
                    futures.clear()

                context = self._get_context(task, task_outputs)
@@ -647,6 +683,32 @@ 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)
--- a/src/crewai/crews/crew_output.py
+++ b/src/crewai/crews/crew_output.py
@@ -24,16 +24,6 @@ class CrewOutput(BaseModel):
        description="Processed token summary", default={}
    )

-    # @property
-    # def pydantic(self) -> Optional[BaseModel]:
-    #     # Check if the final task output included a pydantic model
-    #     if self.tasks_output[-1].output_format != OutputFormat.PYDANTIC:
-    #         raise ValueError(
-    #             "No pydantic model found in the final task. Please make sure to set the output_pydantic property in the final task in your crew."
-    #         )
-
-    #     return self._pydantic
-
    @property
    def json(self) -> Optional[str]:
        if self.tasks_output[-1].output_format != OutputFormat.JSON:
@@ -44,11 +34,13 @@ class CrewOutput(BaseModel):
        return json.dumps(self.json_dict)

    def to_dict(self) -> Dict[str, Any]:
+        """Convert json_output and pydantic_output to a dictionary."""
+        output_dict = {}
        if self.json_dict:
-            return self.json_dict
-        if self.pydantic:
-            return self.pydantic.model_dump()
-        raise ValueError("No output to convert to dictionary")
+            output_dict.update(self.json_dict)
+        elif self.pydantic:
+            output_dict.update(self.pydantic.model_dump())
+        return output_dict

    def __str__(self):
        if self.pydantic:
--- a/src/crewai/task.py
+++ b/src/crewai/task.py
@@ -5,8 +5,10 @@ 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
@@ -173,6 +175,14 @@ 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,
@@ -238,7 +248,7 @@ class Task(BaseModel):
            self.callback(self.output)

        if self._execution_span:
-            self._telemetry.task_ended(self._execution_span, self)
+            self._telemetry.task_ended(self._execution_span, self, agent.crew)
            self._execution_span = None

        if self.output_file:
--- a/src/crewai/tasks/conditional_task.py
+++ b/src/crewai/tasks/conditional_task.py
@@ -0,0 +1,47 @@
+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,
+        )
--- a/src/crewai/tasks/task_output.py
+++ b/src/crewai/tasks/task_output.py
@@ -30,20 +30,6 @@ class TaskOutput(BaseModel):
        self.summary = f"{excerpt}..."
        return self

-    # @property
-    # def pydantic(self) -> Optional[BaseModel]:
-    #     # Check if the final task output included a pydantic model
-    #     if self.output_format != OutputFormat.PYDANTIC:
-    #         raise ValueError(
-    #             """
-    #             Invalid output format requested.
-    #             If you would like to access the pydantic model,
-    #             please make sure to set the output_pydantic property for the task.
-    #             """
-    #         )
-
-    #     return self._pydantic
-
    @property
    def json(self) -> Optional[str]:
        if self.output_format != OutputFormat.JSON:
@@ -62,7 +48,7 @@ class TaskOutput(BaseModel):
        output_dict = {}
        if self.json_dict:
            output_dict.update(self.json_dict)
-        if self.pydantic:
+        elif self.pydantic:
            output_dict.update(self.pydantic.model_dump())
        return output_dict

--- a/src/crewai/telemetry/telemetry.py
+++ b/src/crewai/telemetry/telemetry.py
@@ -92,13 +92,8 @@ 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))
@@ -109,6 +104,7 @@ class Telemetry:
                    json.dumps(
                        [
                            {
+                                "key": agent.key,
                                "id": str(agent.id),
                                "role": agent.role,
                                "goal": agent.goal,
@@ -133,12 +129,14 @@ 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
@@ -157,6 +155,12 @@ 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:
@@ -170,8 +174,9 @@ 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_index", crew.tasks.index(task))
+                self._add_attribute(created_span, "task_key", task.key)
                self._add_attribute(created_span, "task_id", str(task.id))

                if crew.share_crew:
@@ -187,8 +192,9 @@ 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_index", crew.tasks.index(task))
+                self._add_attribute(span, "task_key", task.key)
                self._add_attribute(span, "task_id", str(task.id))

                if crew.share_crew:
@@ -203,13 +209,16 @@ class Telemetry:

        return None

-    def task_ended(self, span: Span, task: Task):
+    def task_ended(self, span: Span, task: Task, crew: Crew):
        """Records task execution in a crew."""
        if self.ready:
            try:
-                self._add_attribute(
-                    span, "output", task.output.raw_output if task.output else ""
-                )
+                if crew.share_crew:
+                    self._add_attribute(
+                        span,
+                        "task_output",
+                        task.output.raw if task.output else "",
+                    )

                span.set_status(Status(StatusCode.OK))
                span.end()
@@ -284,10 +293,10 @@ 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(
@@ -295,6 +304,7 @@ 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
@@ -305,6 +315,7 @@ class Telemetry:
                    json.dumps(
                        [
                            {
+                                "key": agent.key,
                                "id": str(agent.id),
                                "role": agent.role,
                                "goal": agent.goal,
@@ -335,6 +346,7 @@ 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
--- a/src/crewai/tools/tool_usage.py
+++ b/src/crewai/tools/tool_usage.py
@@ -151,16 +151,12 @@ class ToolUsage:
                            for k, v in calling.arguments.items()
                            if k in acceptable_args
                        }
-                        result = tool._run(**arguments)
+                        result = tool.invoke(input=arguments)
                    except Exception:
-                        if tool.args_schema:
-                            arguments = calling.arguments
-                            result = tool._run(**arguments)
-                        else:
-                            arguments = calling.arguments.values()  # type: ignore # Incompatible types in assignment (expression has type "dict_values[str, Any]", variable has type "dict[str, Any]")
-                            result = tool._run(*arguments)
+                        arguments = calling.arguments
+                        result = tool.invoke(input=arguments)
                else:
-                    result = tool._run()
+                    result = tool.invoke(input={})
            except Exception as e:
                self._run_attempts += 1
                if self._run_attempts > self._max_parsing_attempts:
--- a/src/crewai/utilities/printer.py
+++ b/src/crewai/utilities/printer.py
@@ -10,6 +10,8 @@ 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)

@@ -27,3 +29,6 @@ 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))
--- a/tests/agents/agent_builder/base_agent_test.py
+++ b/tests/agents/agent_builder/base_agent_test.py
@@ -0,0 +1,36 @@
+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
--- a/tests/cassettes/test_agent_repeated_tool_usage.yaml
+++ b/tests/cassettes/test_agent_repeated_tool_usage.yaml
--- a/tests/cassettes/test_agent_repeated_tool_usage_check_even_with_disabled_cache.yaml
+++ b/tests/cassettes/test_agent_repeated_tool_usage_check_even_with_disabled_cache.yaml
--- a/tests/cassettes/test_conditional_task_last_task.yaml
+++ b/tests/cassettes/test_conditional_task_last_task.yaml
--- a/tests/cassettes/test_conditional_task_last_task_when_conditional_is_false.yaml
+++ b/tests/cassettes/test_conditional_task_last_task_when_conditional_is_false.yaml
@@ -0,0 +1,151 @@
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+      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",
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        data: [DONE]
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--- a/tests/cassettes/test_replay_task_with_context.yaml
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@@ -294,13 +317,13 @@ interactions:
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      Date:
-      - Thu, 04 Jul 2024 23:51:24 GMT
+      - Fri, 12 Jul 2024 19:00:16 GMT
      Server:
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      Transfer-Encoding:
@@ -310,7 +333,7 @@ interactions:
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      - crewai-iuxna1
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-      - '91'
+      - '122'
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@@ -318,17 +341,17 @@ interactions:
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-      - '16000000'
+      - '22000000'
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-      - '15999673'
+      - '21999666'
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      message: OK
--- a/tests/crew_test.py
+++ b/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 patch
+from unittest.mock import MagicMock, patch

 import pydantic_core
 import pytest
-
 from crewai.agent import Agent
 from crewai.agents.cache import CacheHandler
 from crewai.crew import Crew
@@ -15,6 +15,7 @@ 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
@@ -916,9 +917,7 @@ 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 akickoff_for_each_async."""
-    from unittest.mock import patch
-
+    """Tests the basic functionality and output of kickoff_for_each_async."""
    inputs = [
        {"topic": "dog"},
        {"topic": "cat"},
@@ -944,8 +943,13 @@ 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=expected_outputs
+        Crew, "kickoff_async", side_effect=mock_kickoff_async
    ) as mock_kickoff_async:
        crew = Crew(agents=[agent], tasks=[task])

@@ -2234,3 +2238,185 @@ 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
--- a/tests/task_test.py
+++ b/tests/task_test.py
@@ -1,15 +1,16 @@
 """Test Agent creation and execution basic functionality."""

+import hashlib
 import json
 from unittest.mock import MagicMock, patch

 import pytest
-from pydantic import BaseModel
-from pydantic_core import ValidationError
-
 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


 def test_task_tool_reflect_agent_tools():
@@ -695,6 +696,19 @@ 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.",
@@ -791,3 +805,22 @@ 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."
Author	SHA1	Message	Date
Brandon Hancock	6ad218f9a0	Fix issues found by linter	2024-07-17 11:05:31 -04:00
Brandon Hancock	36efa172ee	Add more tests. Clean up docs. Improve conditional task	2024-07-17 11:03:11 -04:00
Lorenze Jay	cb720143c7	Merge branch 'main' of github.com:joaomdmoura/crewAI into conditional-task-f	2024-07-16 20:34:35 -07:00
Lorenze Jay	bde0a3e99c	code cleanup	2024-07-16 20:11:52 -07:00
Brandon Hancock (bhancock_ai)	99ada42d97	Merge pull request #941 from crewAIInc/bugfix/minor-max-retry-recursion-fix Properly capture result from max retry recursive call	2024-07-16 22:05:58 -04:00
Lorenze Jay	ef928ee3cb	added docs and tests	2024-07-16 16:04:41 -07:00
Lorenze Jay	bc7f601f84	updated fixes for conditional tasks	2024-07-16 15:10:13 -07:00
Lorenze Jay	b0c2b15a3e	better code spacing	2024-07-16 13:07:31 -07:00
Lorenze Jay	c0f04bbb37	removing unused code	2024-07-16 13:06:50 -07:00
Lorenze Jay	c320fc655e	conditional task feat	2024-07-16 12:04:34 -07:00
Brandon Hancock (bhancock_ai)	ac2815c781	Add docs for `crewoutput` and `taskoutput` (#943 ) * Add docs for crewoutput and taskoutput * Add reference to change log	2024-07-15 21:39:15 -03:00
Gui Vieira	dd8a199e99	Introduce structure keys (#902 ) * Introduce structure keys * Add agent key to tasks * Rebasing is hard * Rename task output telemetry * Feedback	2024-07-15 19:37:07 -03:00
Gui Vieira	161c4a6856	Fix crew creation telemetry (#939 ) * Fix crew creation telemetry * Remove task index	2024-07-15 17:43:57 -03:00
Lorenze Jay	67b04b30bf	Replay feat using db (#930 ) * Cleaned up task execution to now have separate paths for async and sync execution. Updating all kickoff functions to return CrewOutput. WIP. Waiting for Joao feedback on async task execution with task_output * Consistently storing async and sync output for context * outline tests I need to create going forward * Major rehaul of TaskOutput and CrewOutput. Updated all tests to work with new change. Need to add in a few final tricky async tests and add a few more to verify output types on TaskOutput and CrewOutput. * Encountering issues with callback. Need to test on main. WIP * working on tests. WIP * WIP. Figuring out disconnect issue. * Cleaned up logs now that I've isolated the issue to the LLM * more wip. * WIP. It looks like usage metrics has always been broken for async * Update parent crew who is managing for_each loop * Merge in main to bugfix/kickoff-for-each-usage-metrics * Clean up code for review * Add new tests * Final cleanup. Ready for review. * Moving copy functionality from Agent to BaseAgent * Fix renaming issue * Fix linting errors * use BaseAgent instead of Agent where applicable * Fixing missing function. Working on tests. * WIP. Needing team to review change * Fixing issues brought about by merge * WIP: need to fix json encoder * WIP need to fix encoder * WIP * WIP: replay working with async. need to add tests * Implement major fixes from yesterdays group conversation. Now working on tests. * The majority of tasks are working now. Need to fix converter class * Fix final failing test * Fix linting and type-checker issues * Add more tests to fully test CrewOutput and TaskOutput changes * Add in validation for async cannot depend on other async tasks. * WIP: working replay feat fixing inputs, need tests * WIP: core logic of seq and heir for executing tasks added into one * Update validators and tests * better logic for seq and hier * replay working for both seq and hier just need tests * fixed context * added cli command + code cleanup TODO: need better refactoring * refactoring for cleaner code * added better tests * removed todo comments and fixed some tests * fix logging now all tests should pass * cleaner code * ensure replay is delcared when replaying specific tasks * ensure hierarchical works * better typing for stored_outputs and separated task_output_handler * added better tests * added replay feature to crew docs * easier cli command name * fixing changes * using sqllite instead of .json file for logging previous task_outputs * tools fix * added to docs and fixed tests * fixed .db * fixed docs and removed unneeded comments * separating ltm and replay db * fixed printing colors * added how to doc --------- Co-authored-by: Brandon Hancock <brandon@brandonhancock.io>	2024-07-15 17:14:10 -03:00
Gui Vieira	7696b45fc3	Fix tool usage (#925 ) * Fix tool usage * new tests --------- Co-authored-by: João Moura <joaomdmoura@gmail.com>	2024-07-15 17:13:35 -03:00
Brandon Hancock	641921eb6c	capture result from recursive call	2024-07-15 13:59:58 -04:00
Brandon Hancock	a02d2fb93e	Add return statement to recursive call	2024-07-15 13:40:51 -04:00