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Return the + list of ideas with their paragraph and your notes. task_expected_output: 5 bullet + points with a paragraph for each idea. agent: Researcher agent_goal: Make the + best research and analysis on content about AI and AI agents Task Output: - + **The Rise of AI Agents in Remote Work** \nAs remote work continues to crystallize + in the corporate environment, AI agents are transforming how teams collaborate + and operate. An article could delve into case studies from companies like GitLab + and Buffer that have successfully integrated AI tools to facilitate communication, + project tracking, and workload distribution among distributed teams. By interviewing + team leaders and employees, we can uncover how AI agents are not merely assisting + but actively enhancing productivity and reducing the cognitive load on human + workers. This exploration would not only highlight the practical applications + of AI in remote settings but also provoke critical discussions about the evolving + nature of work, employee satisfaction, and balance between AI support and human + effort.\n\n- **AI as a Creative Collaborator** \nThe boundaries of human creativity + are being challenged as AI becomes a key player in the creative process. An + example can be drawn from collaborative tools like OpenAI''s DALL-E or Adobe''s + Sensei, which are enabling artists, writers, and designers to push their creative + limits. The article could feature testimonials from creators who have embraced + AI as a partner in innovation, sharing stories of how these collaborations have + led to unexpected and inspiring outcomes. Additionally, engaging with experts + in the field of AI ethics can deepen the discussion about the implications of + AI in art, including authorship, originality, and the definition of creativity + itself. This exploration could stimulate a broader dialogue on the future of + the creative industry and the role of AI within it.\n\n- **Personalized Learning + through AI** \nIn the realm of education, AI is reshaping how personalized + learning experiences are crafted for students. For instance, platforms like + DreamBox and Knewton use AI algorithms to tailor lessons based on individual + learning styles and paces. An article addressing this topic could synthesize + insights gathered from educators who have implemented AI in their classrooms, + sharing success stories and challenges faced when adjusting teaching methodologies. + By highlighting real user experiences, the discussion could extend to the ethical + implications of data privacy, algorithmic bias, and equity in education, thereby + painting a comprehensive picture of how AI is both a tool of progress and a + subject for scrutiny.\n\n- **The Ethical Implications of AI in Decision Making** \nAs + organizations increasingly rely on AI for decision-making\u2014be it through + predictive analytics in finance or recruiting algorithms in HR\u2014the ethical + implications of these technologies come into sharp focus. 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An article could delve into + case studies from companies like GitLab and Buffer that have successfully integrated + AI tools to facilitate communication, project tracking, and workload distribution + among distributed teams. By interviewing team leaders and employees, we can + uncover how AI agents are not merely assisting but actively enhancing productivity + and reducing the cognitive load on human workers. This exploration would not + only highlight the practical applications of AI in remote settings but also + provoke critical discussions about the evolving nature of work, employee satisfaction, + and balance between AI support and human effort.\n\n- **AI as a Creative Collaborator** \nThe + boundaries of human creativity are being challenged as AI becomes a key player + in the creative process. An example can be drawn from collaborative tools like + OpenAI''s DALL-E or Adobe''s Sensei, which are enabling artists, writers, and + designers to push their creative limits. The article could feature testimonials + from creators who have embraced AI as a partner in innovation, sharing stories + of how these collaborations have led to unexpected and inspiring outcomes. Additionally, + engaging with experts in the field of AI ethics can deepen the discussion about + the implications of AI in art, including authorship, originality, and the definition + of creativity itself. This exploration could stimulate a broader dialogue on + the future of the creative industry and the role of AI within it.\n\n- **Personalized + Learning through AI** \nIn the realm of education, AI is reshaping how personalized + learning experiences are crafted for students. For instance, platforms like + DreamBox and Knewton use AI algorithms to tailor lessons based on individual + learning styles and paces. 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The article could feature testimonials from creators who have embraced + AI as a partner in innovation, sharing stories of how these collaborations have + led to unexpected and inspiring outcomes. Additionally, engaging with experts + in the field of AI ethics can deepen the discussion about the implications of + AI in art, including authorship, originality, and the definition of creativity + itself. This exploration could stimulate a broader dialogue on the future of + the creative industry and the role of AI within it.\n\n- **Personalized Learning + through AI** \nIn the realm of education, AI is reshaping how personalized + learning experiences are crafted for students. For instance, platforms like + DreamBox and Knewton use AI algorithms to tailor lessons based on individual + learning styles and paces. An article addressing this topic could synthesize + insights gathered from educators who have implemented AI in their classrooms, + sharing success stories and challenges faced when adjusting teaching methodologies. + By highlighting real user experiences, the discussion could extend to the ethical + implications of data privacy, algorithmic bias, and equity in education, thereby + painting a comprehensive picture of how AI is both a tool of progress and a + subject for scrutiny.\n\n- **The Ethical Implications of AI in Decision Making** \nAs + organizations increasingly rely on AI for decision-making\u2014be it through + predictive analytics in finance or recruiting algorithms in HR\u2014the ethical + implications of these technologies come into sharp focus. This article could + pull in case studies such as Amazon''s recruitment tool that inadvertently favored + male candidates, thereby unveiling the hidden biases entrenched in AI systems. + By interviewing ethicists, data scientists, and business leaders, the narrative + could explore how companies are navigating these ethical waters, balancing efficiency + and fairness, and ensuring that AI serves as an equitable decision-making assistant + rather than a perpetuator of injustice. \n\n- **AI in Mental Health: A New Frontier** \nThe + integration of AI in mental health care presents a myriad of possibilities, + from chatbots like Woebot providing cognitive behavioral therapy (CBT) to AI + tools that analyze speech for emotional cues. An inspiring article could chronicle + the journeys of users who have benefited from AI-driven mental health services, + juxtaposed with expert opinions from psychologists discussing the potential + and limitations of AI in this sensitive field. Through this exploration, readers + would gain a nuanced understanding of how AI is shaping therapeutic practices, + the importance of human empathy in mental health support, and the ethical concerns + that arise from relying on technology for emotional well-being.\n\nNotes: Each + idea provides a rich ground for exploration, allowing for real-world applications + and ethical considerations regarding AI. The proposed articles have the potential + to engage a wide readership by blending current trends, expert insights, and + relatable experiences\u2014making them both informative and meaningful.", "agent_id": + "ddff2e62-4b2d-474d-a519-2acef5744e2b", "agent_role": "Task Execution Evaluator", + "from_task": null, "from_agent": null, "model": "gpt-4o-mini", "messages": [{"role": + "system", "content": "You are Task Execution Evaluator. Evaluator agent for + crew evaluation with precise capabilities to evaluate the performance of the + agents in the crew based on the tasks they have performed\nYour personal goal + is: Your goal is to evaluate the performance of the agents in the crew based + on the tasks they have performed using score from 1 to 10 evaluating on completion, + quality, and overall performance.\nTo give my best complete final answer to + the task respond using the exact following format:\n\nThought: I now can give + a great answer\nFinal Answer: Your 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!"}, {"role": "user", "content": "\nCurrent Task: Based + on the task description and the expected output, compare and evaluate the performance + of the agents in the crew based on the Task Output they have performed using + score from 1 to 10 evaluating on completion, quality, and overall performance.task_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. task_expected_output: 5 bullet points with a paragraph for each + idea. agent: Researcher agent_goal: Make the best research and analysis on content + about AI and AI agents Task Output: - **The Rise of AI Agents in Remote Work** \nAs + remote work continues to crystallize in the corporate environment, AI agents + are transforming how teams collaborate and operate. An article could delve into + case studies from companies like GitLab and Buffer that have successfully integrated + AI tools to facilitate communication, project tracking, and workload distribution + among distributed teams. By interviewing team leaders and employees, we can + uncover how AI agents are not merely assisting but actively enhancing productivity + and reducing the cognitive load on human workers. This exploration would not + only highlight the practical applications of AI in remote settings but also + provoke critical discussions about the evolving nature of work, employee satisfaction, + and balance between AI support and human effort.\n\n- **AI as a Creative Collaborator** \nThe + boundaries of human creativity are being challenged as AI becomes a key player + in the creative process. An example can be drawn from collaborative tools like + OpenAI''s DALL-E or Adobe''s Sensei, which are enabling artists, writers, and + designers to push their creative limits. The article could feature testimonials + from creators who have embraced AI as a partner in innovation, sharing stories + of how these collaborations have led to unexpected and inspiring outcomes. Additionally, + engaging with experts in the field of AI ethics can deepen the discussion about + the implications of AI in art, including authorship, originality, and the definition + of creativity itself. This exploration could stimulate a broader dialogue on + the future of the creative industry and the role of AI within it.\n\n- **Personalized + Learning through AI** \nIn the realm of education, AI is reshaping how personalized + learning experiences are crafted for students. For instance, platforms like + DreamBox and Knewton use AI algorithms to tailor lessons based on individual + learning styles and paces. An article addressing this topic could synthesize + insights gathered from educators who have implemented AI in their classrooms, + sharing success stories and challenges faced when adjusting teaching methodologies. + By highlighting real user experiences, the discussion could extend to the ethical + implications of data privacy, algorithmic bias, and equity in education, thereby + painting a comprehensive picture of how AI is both a tool of progress and a + subject for scrutiny.\n\n- **The Ethical Implications of AI in Decision Making** \nAs + organizations increasingly rely on AI for decision-making\u2014be it through + predictive analytics in finance or recruiting algorithms in HR\u2014the ethical + implications of these technologies come into sharp focus. This article could + pull in case studies such as Amazon''s recruitment tool that inadvertently favored + male candidates, thereby unveiling the hidden biases entrenched in AI systems. + By interviewing ethicists, data scientists, and business leaders, the narrative + could explore how companies are navigating these ethical waters, balancing efficiency + and fairness, and ensuring that AI serves as an equitable decision-making assistant + rather than a perpetuator of injustice. \n\n- **AI in Mental Health: A New Frontier** \nThe + integration of AI in mental health care presents a myriad of possibilities, + from chatbots like Woebot providing cognitive behavioral therapy (CBT) to AI + tools that analyze speech for emotional cues. An inspiring article could chronicle + the journeys of users who have benefited from AI-driven mental health services, + juxtaposed with expert opinions from psychologists discussing the potential + and limitations of AI in this sensitive field. Through this exploration, readers + would gain a nuanced understanding of how AI is shaping therapeutic practices, + the importance of human empathy in mental health support, and the ethical concerns + that arise from relying on technology for emotional well-being.\n\nNotes: Each + idea provides a rich ground for exploration, allowing for real-world applications + and ethical considerations regarding AI. The proposed articles have the potential + to engage a wide readership by blending current trends, expert insights, and + relatable experiences\u2014making them both informative and meaningful.\n\nThis + is the expected criteria for your final answer: Evaluation Score from 1 to 10 + based on the performance of the agents on the tasks\nyou MUST return the actual + complete content as the final answer, not a summary.\nEnsure your final answer + contains only the content in the following format: {\n \"quality\": float\n}\n\nEnsure + the final output does not include any code block markers like ```json or ```python.\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:"}], "tools": null, "callbacks": + [""], + "available_functions": null}}, {"event_id": "1d66949b-ab73-4070-a772-77fbdcda1823", + "timestamp": "2025-10-21T14:21:26.580077+00:00", "type": "llm_call_completed", + "event_data": {"timestamp": "2025-10-21T14:21:26.580077+00:00", "type": "llm_call_completed", + "source_fingerprint": null, "source_type": null, "fingerprint_metadata": null, + "task_id": "73f03e42-b56a-4e3b-8015-2377ba04393b", "task_name": "Based on the + task description and the expected output, compare and evaluate the performance + of the agents in the crew based on the Task Output they have performed using + score from 1 to 10 evaluating on completion, quality, and overall performance.task_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. task_expected_output: 5 bullet points with a paragraph for each + idea. agent: Researcher agent_goal: Make the best research and analysis on content + about AI and AI agents Task Output: - **The Rise of AI Agents in Remote Work** \nAs + remote work continues to crystallize in the corporate environment, AI agents + are transforming how teams collaborate and operate. An article could delve into + case studies from companies like GitLab and Buffer that have successfully integrated + AI tools to facilitate communication, project tracking, and workload distribution + among distributed teams. By interviewing team leaders and employees, we can + uncover how AI agents are not merely assisting but actively enhancing productivity + and reducing the cognitive load on human workers. This exploration would not + only highlight the practical applications of AI in remote settings but also + provoke critical discussions about the evolving nature of work, employee satisfaction, + and balance between AI support and human effort.\n\n- **AI as a Creative Collaborator** \nThe + boundaries of human creativity are being challenged as AI becomes a key player + in the creative process. An example can be drawn from collaborative tools like + OpenAI''s DALL-E or Adobe''s Sensei, which are enabling artists, writers, and + designers to push their creative limits. The article could feature testimonials + from creators who have embraced AI as a partner in innovation, sharing stories + of how these collaborations have led to unexpected and inspiring outcomes. Additionally, + engaging with experts in the field of AI ethics can deepen the discussion about + the implications of AI in art, including authorship, originality, and the definition + of creativity itself. This exploration could stimulate a broader dialogue on + the future of the creative industry and the role of AI within it.\n\n- **Personalized + Learning through AI** \nIn the realm of education, AI is reshaping how personalized + learning experiences are crafted for students. For instance, platforms like + DreamBox and Knewton use AI algorithms to tailor lessons based on individual + learning styles and paces. An article addressing this topic could synthesize + insights gathered from educators who have implemented AI in their classrooms, + sharing success stories and challenges faced when adjusting teaching methodologies. + By highlighting real user experiences, the discussion could extend to the ethical + implications of data privacy, algorithmic bias, and equity in education, thereby + painting a comprehensive picture of how AI is both a tool of progress and a + subject for scrutiny.\n\n- **The Ethical Implications of AI in Decision Making** \nAs + organizations increasingly rely on AI for decision-making\u2014be it through + predictive analytics in finance or recruiting algorithms in HR\u2014the ethical + implications of these technologies come into sharp focus. This article could + pull in case studies such as Amazon''s recruitment tool that inadvertently favored + male candidates, thereby unveiling the hidden biases entrenched in AI systems. + By interviewing ethicists, data scientists, and business leaders, the narrative + could explore how companies are navigating these ethical waters, balancing efficiency + and fairness, and ensuring that AI serves as an equitable decision-making assistant + rather than a perpetuator of injustice. \n\n- **AI in Mental Health: A New Frontier** \nThe + integration of AI in mental health care presents a myriad of possibilities, + from chatbots like Woebot providing cognitive behavioral therapy (CBT) to AI + tools that analyze speech for emotional cues. An inspiring article could chronicle + the journeys of users who have benefited from AI-driven mental health services, + juxtaposed with expert opinions from psychologists discussing the potential + and limitations of AI in this sensitive field. Through this exploration, readers + would gain a nuanced understanding of how AI is shaping therapeutic practices, + the importance of human empathy in mental health support, and the ethical concerns + that arise from relying on technology for emotional well-being.\n\nNotes: Each + idea provides a rich ground for exploration, allowing for real-world applications + and ethical considerations regarding AI. The proposed articles have the potential + to engage a wide readership by blending current trends, expert insights, and + relatable experiences\u2014making them both informative and meaningful.", "agent_id": + "ddff2e62-4b2d-474d-a519-2acef5744e2b", "agent_role": "Task Execution Evaluator", + "from_task": null, "from_agent": null, "messages": [{"role": "system", "content": + "You are Task Execution Evaluator. Evaluator agent for crew evaluation with + precise capabilities to evaluate the performance of the agents in the crew based + on the tasks they have performed\nYour personal goal is: Your goal is to evaluate + the performance of the agents in the crew based on the tasks they have performed + using score from 1 to 10 evaluating on completion, quality, and overall performance.\nTo + give my best complete final answer to the task respond using the exact following + format:\n\nThought: I now can give a great answer\nFinal Answer: Your 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!"}, {"role": "user", + "content": "\nCurrent Task: Based on the task description and the expected output, + compare and evaluate the performance of the agents in the crew based on the + Task Output they have performed using score from 1 to 10 evaluating on completion, + quality, and overall performance.task_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. task_expected_output: + 5 bullet points with a paragraph for each idea. agent: Researcher agent_goal: + Make the best research and analysis on content about AI and AI agents Task Output: + - **The Rise of AI Agents in Remote Work** \nAs remote work continues to crystallize + in the corporate environment, AI agents are transforming how teams collaborate + and operate. An article could delve into case studies from companies like GitLab + and Buffer that have successfully integrated AI tools to facilitate communication, + project tracking, and workload distribution among distributed teams. By interviewing + team leaders and employees, we can uncover how AI agents are not merely assisting + but actively enhancing productivity and reducing the cognitive load on human + workers. This exploration would not only highlight the practical applications + of AI in remote settings but also provoke critical discussions about the evolving + nature of work, employee satisfaction, and balance between AI support and human + effort.\n\n- **AI as a Creative Collaborator** \nThe boundaries of human creativity + are being challenged as AI becomes a key player in the creative process. An + example can be drawn from collaborative tools like OpenAI''s DALL-E or Adobe''s + Sensei, which are enabling artists, writers, and designers to push their creative + limits. The article could feature testimonials from creators who have embraced + AI as a partner in innovation, sharing stories of how these collaborations have + led to unexpected and inspiring outcomes. Additionally, engaging with experts + in the field of AI ethics can deepen the discussion about the implications of + AI in art, including authorship, originality, and the definition of creativity + itself. This exploration could stimulate a broader dialogue on the future of + the creative industry and the role of AI within it.\n\n- **Personalized Learning + through AI** \nIn the realm of education, AI is reshaping how personalized + learning experiences are crafted for students. For instance, platforms like + DreamBox and Knewton use AI algorithms to tailor lessons based on individual + learning styles and paces. An article addressing this topic could synthesize + insights gathered from educators who have implemented AI in their classrooms, + sharing success stories and challenges faced when adjusting teaching methodologies. + By highlighting real user experiences, the discussion could extend to the ethical + implications of data privacy, algorithmic bias, and equity in education, thereby + painting a comprehensive picture of how AI is both a tool of progress and a + subject for scrutiny.\n\n- **The Ethical Implications of AI in Decision Making** \nAs + organizations increasingly rely on AI for decision-making\u2014be it through + predictive analytics in finance or recruiting algorithms in HR\u2014the ethical + implications of these technologies come into sharp focus. This article could + pull in case studies such as Amazon''s recruitment tool that inadvertently favored + male candidates, thereby unveiling the hidden biases entrenched in AI systems. + By interviewing ethicists, data scientists, and business leaders, the narrative + could explore how companies are navigating these ethical waters, balancing efficiency + and fairness, and ensuring that AI serves as an equitable decision-making assistant + rather than a perpetuator of injustice. \n\n- **AI in Mental Health: A New Frontier** \nThe + integration of AI in mental health care presents a myriad of possibilities, + from chatbots like Woebot providing cognitive behavioral therapy (CBT) to AI + tools that analyze speech for emotional cues. An inspiring article could chronicle + the journeys of users who have benefited from AI-driven mental health services, + juxtaposed with expert opinions from psychologists discussing the potential + and limitations of AI in this sensitive field. Through this exploration, readers + would gain a nuanced understanding of how AI is shaping therapeutic practices, + the importance of human empathy in mental health support, and the ethical concerns + that arise from relying on technology for emotional well-being.\n\nNotes: Each + idea provides a rich ground for exploration, allowing for real-world applications + and ethical considerations regarding AI. The proposed articles have the potential + to engage a wide readership by blending current trends, expert insights, and + relatable experiences\u2014making them both informative and meaningful.\n\nThis + is the expected criteria for your final answer: Evaluation Score from 1 to 10 + based on the performance of the agents on the tasks\nyou MUST return the actual + complete content as the final answer, not a summary.\nEnsure your final answer + contains only the content in the following format: {\n \"quality\": float\n}\n\nEnsure + the final output does not include any code block markers like ```json or ```python.\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:"}], "response": "I now can give + a great answer \nFinal Answer: {\n \"quality\": 9.5\n}", "call_type": "", "model": "gpt-4o-mini"}}, {"event_id": "4bd6a925-d033-4703-85ad-762ace24440d", + "timestamp": "2025-10-21T14:21:26.580236+00:00", "type": "agent_execution_completed", + "event_data": {"agent_role": "Task Execution Evaluator", "agent_goal": "Your + goal is to evaluate the performance of the agents in the crew based on the tasks + they have performed using score from 1 to 10 evaluating on completion, quality, + and overall performance.", "agent_backstory": "Evaluator agent for crew evaluation + with precise capabilities to evaluate the performance of the agents in the crew + based on the tasks they have performed"}}, {"event_id": "85a0dad3-6767-4613-8565-d4c1f23921b4", + "timestamp": "2025-10-21T14:21:26.581604+00:00", "type": "task_completed", "event_data": + {"task_description": "Based on the task description and the expected output, + compare and evaluate the performance of the agents in the crew based on the + Task Output they have performed using score from 1 to 10 evaluating on completion, + quality, and overall performance.task_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. task_expected_output: + 5 bullet points with a paragraph for each idea. agent: Researcher agent_goal: + Make the best research and analysis on content about AI and AI agents Task Output: + - **The Rise of AI Agents in Remote Work** \nAs remote work continues to crystallize + in the corporate environment, AI agents are transforming how teams collaborate + and operate. An article could delve into case studies from companies like GitLab + and Buffer that have successfully integrated AI tools to facilitate communication, + project tracking, and workload distribution among distributed teams. By interviewing + team leaders and employees, we can uncover how AI agents are not merely assisting + but actively enhancing productivity and reducing the cognitive load on human + workers. This exploration would not only highlight the practical applications + of AI in remote settings but also provoke critical discussions about the evolving + nature of work, employee satisfaction, and balance between AI support and human + effort.\n\n- **AI as a Creative Collaborator** \nThe boundaries of human creativity + are being challenged as AI becomes a key player in the creative process. An + example can be drawn from collaborative tools like OpenAI''s DALL-E or Adobe''s + Sensei, which are enabling artists, writers, and designers to push their creative + limits. The article could feature testimonials from creators who have embraced + AI as a partner in innovation, sharing stories of how these collaborations have + led to unexpected and inspiring outcomes. Additionally, engaging with experts + in the field of AI ethics can deepen the discussion about the implications of + AI in art, including authorship, originality, and the definition of creativity + itself. This exploration could stimulate a broader dialogue on the future of + the creative industry and the role of AI within it.\n\n- **Personalized Learning + through AI** \nIn the realm of education, AI is reshaping how personalized + learning experiences are crafted for students. For instance, platforms like + DreamBox and Knewton use AI algorithms to tailor lessons based on individual + learning styles and paces. An article addressing this topic could synthesize + insights gathered from educators who have implemented AI in their classrooms, + sharing success stories and challenges faced when adjusting teaching methodologies. + By highlighting real user experiences, the discussion could extend to the ethical + implications of data privacy, algorithmic bias, and equity in education, thereby + painting a comprehensive picture of how AI is both a tool of progress and a + subject for scrutiny.\n\n- **The Ethical Implications of AI in Decision Making** \nAs + organizations increasingly rely on AI for decision-making\u2014be it through + predictive analytics in finance or recruiting algorithms in HR\u2014the ethical + implications of these technologies come into sharp focus. This article could + pull in case studies such as Amazon''s recruitment tool that inadvertently favored + male candidates, thereby unveiling the hidden biases entrenched in AI systems. + By interviewing ethicists, data scientists, and business leaders, the narrative + could explore how companies are navigating these ethical waters, balancing efficiency + and fairness, and ensuring that AI serves as an equitable decision-making assistant + rather than a perpetuator of injustice. \n\n- **AI in Mental Health: A New Frontier** \nThe + integration of AI in mental health care presents a myriad of possibilities, + from chatbots like Woebot providing cognitive behavioral therapy (CBT) to AI + tools that analyze speech for emotional cues. An inspiring article could chronicle + the journeys of users who have benefited from AI-driven mental health services, + juxtaposed with expert opinions from psychologists discussing the potential + and limitations of AI in this sensitive field. Through this exploration, readers + would gain a nuanced understanding of how AI is shaping therapeutic practices, + the importance of human empathy in mental health support, and the ethical concerns + that arise from relying on technology for emotional well-being.\n\nNotes: Each + idea provides a rich ground for exploration, allowing for real-world applications + and ethical considerations regarding AI. The proposed articles have the potential + to engage a wide readership by blending current trends, expert insights, and + relatable experiences\u2014making them both informative and meaningful.", "task_name": + "Based on the task description and the expected output, compare and evaluate + the performance of the agents in the crew based on the Task Output they have + performed using score from 1 to 10 evaluating on completion, quality, and overall + performance.task_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. task_expected_output: 5 bullet + points with a paragraph for each idea. agent: Researcher agent_goal: Make the + best research and analysis on content about AI and AI agents Task Output: - + **The Rise of AI Agents in Remote Work** \nAs remote work continues to crystallize + in the corporate environment, AI agents are transforming how teams collaborate + and operate. An article could delve into case studies from companies like GitLab + and Buffer that have successfully integrated AI tools to facilitate communication, + project tracking, and workload distribution among distributed teams. By interviewing + team leaders and employees, we can uncover how AI agents are not merely assisting + but actively enhancing productivity and reducing the cognitive load on human + workers. This exploration would not only highlight the practical applications + of AI in remote settings but also provoke critical discussions about the evolving + nature of work, employee satisfaction, and balance between AI support and human + effort.\n\n- **AI as a Creative Collaborator** \nThe boundaries of human creativity + are being challenged as AI becomes a key player in the creative process. An + example can be drawn from collaborative tools like OpenAI''s DALL-E or Adobe''s + Sensei, which are enabling artists, writers, and designers to push their creative + limits. The article could feature testimonials from creators who have embraced + AI as a partner in innovation, sharing stories of how these collaborations have + led to unexpected and inspiring outcomes. Additionally, engaging with experts + in the field of AI ethics can deepen the discussion about the implications of + AI in art, including authorship, originality, and the definition of creativity + itself. This exploration could stimulate a broader dialogue on the future of + the creative industry and the role of AI within it.\n\n- **Personalized Learning + through AI** \nIn the realm of education, AI is reshaping how personalized + learning experiences are crafted for students. For instance, platforms like + DreamBox and Knewton use AI algorithms to tailor lessons based on individual + learning styles and paces. An article addressing this topic could synthesize + insights gathered from educators who have implemented AI in their classrooms, + sharing success stories and challenges faced when adjusting teaching methodologies. + By highlighting real user experiences, the discussion could extend to the ethical + implications of data privacy, algorithmic bias, and equity in education, thereby + painting a comprehensive picture of how AI is both a tool of progress and a + subject for scrutiny.\n\n- **The Ethical Implications of AI in Decision Making** \nAs + organizations increasingly rely on AI for decision-making\u2014be it through + predictive analytics in finance or recruiting algorithms in HR\u2014the ethical + implications of these technologies come into sharp focus. This article could + pull in case studies such as Amazon''s recruitment tool that inadvertently favored + male candidates, thereby unveiling the hidden biases entrenched in AI systems. + By interviewing ethicists, data scientists, and business leaders, the narrative + could explore how companies are navigating these ethical waters, balancing efficiency + and fairness, and ensuring that AI serves as an equitable decision-making assistant + rather than a perpetuator of injustice. \n\n- **AI in Mental Health: A New Frontier** \nThe + integration of AI in mental health care presents a myriad of possibilities, + from chatbots like Woebot providing cognitive behavioral therapy (CBT) to AI + tools that analyze speech for emotional cues. An inspiring article could chronicle + the journeys of users who have benefited from AI-driven mental health services, + juxtaposed with expert opinions from psychologists discussing the potential + and limitations of AI in this sensitive field. Through this exploration, readers + would gain a nuanced understanding of how AI is shaping therapeutic practices, + the importance of human empathy in mental health support, and the ethical concerns + that arise from relying on technology for emotional well-being.\n\nNotes: Each + idea provides a rich ground for exploration, allowing for real-world applications + and ethical considerations regarding AI. The proposed articles have the potential + to engage a wide readership by blending current trends, expert insights, and + relatable experiences\u2014making them both informative and meaningful.", "task_id": + "73f03e42-b56a-4e3b-8015-2377ba04393b", "output_raw": "{\n \"quality\": 9.5\n}", + "output_format": "OutputFormat.PYDANTIC", "agent_role": "Task Execution Evaluator"}}, + {"event_id": "09e44c6e-89d4-48b4-a9d5-035bf00f288d", "timestamp": "2025-10-21T14:21:26.581917+00:00", + "type": "task_completed", "event_data": {"task_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.", + "task_name": "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.", "task_id": "b6c0fa7b-c537-48d9-9456-914fd6dbc421", + "output_raw": "- **The Rise of AI Agents in Remote Work** \nAs remote work + continues to crystallize in the corporate environment, AI agents are transforming + how teams collaborate and operate. An article could delve into case studies + from companies like GitLab and Buffer that have successfully integrated AI tools + to facilitate communication, project tracking, and workload distribution among + distributed teams. By interviewing team leaders and employees, we can uncover + how AI agents are not merely assisting but actively enhancing productivity and + reducing the cognitive load on human workers. This exploration would not only + highlight the practical applications of AI in remote settings but also provoke + critical discussions about the evolving nature of work, employee satisfaction, + and balance between AI support and human effort.\n\n- **AI as a Creative Collaborator** \nThe + boundaries of human creativity are being challenged as AI becomes a key player + in the creative process. An example can be drawn from collaborative tools like + OpenAI''s DALL-E or Adobe''s Sensei, which are enabling artists, writers, and + designers to push their creative limits. The article could feature testimonials + from creators who have embraced AI as a partner in innovation, sharing stories + of how these collaborations have led to unexpected and inspiring outcomes. Additionally, + engaging with experts in the field of AI ethics can deepen the discussion about + the implications of AI in art, including authorship, originality, and the definition + of creativity itself. This exploration could stimulate a broader dialogue on + the future of the creative industry and the role of AI within it.\n\n- **Personalized + Learning through AI** \nIn the realm of education, AI is reshaping how personalized + learning experiences are crafted for students. For instance, platforms like + DreamBox and Knewton use AI algorithms to tailor lessons based on individual + learning styles and paces. An article addressing this topic could synthesize + insights gathered from educators who have implemented AI in their classrooms, + sharing success stories and challenges faced when adjusting teaching methodologies. + By highlighting real user experiences, the discussion could extend to the ethical + implications of data privacy, algorithmic bias, and equity in education, thereby + painting a comprehensive picture of how AI is both a tool of progress and a + subject for scrutiny.\n\n- **The Ethical Implications of AI in Decision Making** \nAs + organizations increasingly rely on AI for decision-making\u2014be it through + predictive analytics in finance or recruiting algorithms in HR\u2014the ethical + implications of these technologies come into sharp focus. This article could + pull in case studies such as Amazon''s recruitment tool that inadvertently favored + male candidates, thereby unveiling the hidden biases entrenched in AI systems. + By interviewing ethicists, data scientists, and business leaders, the narrative + could explore how companies are navigating these ethical waters, balancing efficiency + and fairness, and ensuring that AI serves as an equitable decision-making assistant + rather than a perpetuator of injustice. \n\n- **AI in Mental Health: A New Frontier** \nThe + integration of AI in mental health care presents a myriad of possibilities, + from chatbots like Woebot providing cognitive behavioral therapy (CBT) to AI + tools that analyze speech for emotional cues. An inspiring article could chronicle + the journeys of users who have benefited from AI-driven mental health services, + juxtaposed with expert opinions from psychologists discussing the potential + and limitations of AI in this sensitive field. Through this exploration, readers + would gain a nuanced understanding of how AI is shaping therapeutic practices, + the importance of human empathy in mental health support, and the ethical concerns + that arise from relying on technology for emotional well-being.\n\nNotes: Each + idea provides a rich ground for exploration, allowing for real-world applications + and ethical considerations regarding AI. 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Return the list of ideas with their paragraph and + your notes.", "expected_output": "5 bullet points with a paragraph for each + idea.", "summary": "Come up with a list of 5 interesting ideas to...", "raw": + "- **The Rise of AI Agents in Remote Work** \nAs remote work continues to crystallize + in the corporate environment, AI agents are transforming how teams collaborate + and operate. An article could delve into case studies from companies like GitLab + and Buffer that have successfully integrated AI tools to facilitate communication, + project tracking, and workload distribution among distributed teams. By interviewing + team leaders and employees, we can uncover how AI agents are not merely assisting + but actively enhancing productivity and reducing the cognitive load on human + workers. This exploration would not only highlight the practical applications + of AI in remote settings but also provoke critical discussions about the evolving + nature of work, employee satisfaction, and balance between AI support and human + effort.\n\n- **AI as a Creative Collaborator** \nThe boundaries of human creativity + are being challenged as AI becomes a key player in the creative process. An + example can be drawn from collaborative tools like OpenAI''s DALL-E or Adobe''s + Sensei, which are enabling artists, writers, and designers to push their creative + limits. The article could feature testimonials from creators who have embraced + AI as a partner in innovation, sharing stories of how these collaborations have + led to unexpected and inspiring outcomes. Additionally, engaging with experts + in the field of AI ethics can deepen the discussion about the implications of + AI in art, including authorship, originality, and the definition of creativity + itself. This exploration could stimulate a broader dialogue on the future of + the creative industry and the role of AI within it.\n\n- **Personalized Learning + through AI** \nIn the realm of education, AI is reshaping how personalized + learning experiences are crafted for students. For instance, platforms like + DreamBox and Knewton use AI algorithms to tailor lessons based on individual + learning styles and paces. An article addressing this topic could synthesize + insights gathered from educators who have implemented AI in their classrooms, + sharing success stories and challenges faced when adjusting teaching methodologies. + By highlighting real user experiences, the discussion could extend to the ethical + implications of data privacy, algorithmic bias, and equity in education, thereby + painting a comprehensive picture of how AI is both a tool of progress and a + subject for scrutiny.\n\n- **The Ethical Implications of AI in Decision Making** \nAs + organizations increasingly rely on AI for decision-making\u2014be it through + predictive analytics in finance or recruiting algorithms in HR\u2014the ethical + implications of these technologies come into sharp focus. This article could + pull in case studies such as Amazon''s recruitment tool that inadvertently favored + male candidates, thereby unveiling the hidden biases entrenched in AI systems. + By interviewing ethicists, data scientists, and business leaders, the narrative + could explore how companies are navigating these ethical waters, balancing efficiency + and fairness, and ensuring that AI serves as an equitable decision-making assistant + rather than a perpetuator of injustice. \n\n- **AI in Mental Health: A New Frontier** \nThe + integration of AI in mental health care presents a myriad of possibilities, + from chatbots like Woebot providing cognitive behavioral therapy (CBT) to AI + tools that analyze speech for emotional cues. An inspiring article could chronicle + the journeys of users who have benefited from AI-driven mental health services, + juxtaposed with expert opinions from psychologists discussing the potential + and limitations of AI in this sensitive field. 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Return the + list of ideas with their paragraph and your notes. task_expected_output: 5 bullet + points with a paragraph for each idea. agent: Researcher agent_goal: Make the + best research and analysis on content about AI and AI agents Task Output: - + **The Rise of AI Agents in Remote Work** \nAs remote work continues to dominate + the global workplace, the integration of AI agents is poised to transform how + teams collaborate and engage. A recent case study from the distributed team + at GitLab, which employs advanced AI tools to enhance communication and productivity, + illustrates how these agents can streamline workflows and provide real-time + assistance. By leveraging AI-driven insights, employees can optimize their schedules, + track performance metrics, and even manage project deliverables more efficiently. + An article exploring this phenomenon could delve into how AI agents are not + just supporting remote work but redefining it, highlighting testimonials from + employees who have experienced increased focus and reduced burnout as a result.\n\n- + **Ethical Implications of AI in Education** \nThe increasing use of AI in educational + settings raises critical ethical questions, especially concerning equity and + accessibility. A notable example is Georgia Tech''s AI teaching assistant, Jill + Watson, which has provided support to students while sparking debates about + the human touch in teaching. An article that examines the dual-edged sword of + employing AI as a mentor could consider perspectives from educators, students, + and policymakers. By inviting thoughts from experts in both AI ethics and education + reform, the article could tackle the implications of data privacy, algorithmic + bias, and the necessity of inclusivity in developing educational technologies.\n\n- + **AI as Creative Collaborators** \nAI''s role as a creative collaborator is + rapidly evolving, illustrated by projects like OpenAI''s DALL-E and GPT-3, which + have successfully co-created art and literature with human artists. This dynamic + presents a unique opportunity to explore the implications of creativity in the + era of AI, especially how it influences workflows and ideation processes. An + article could feature interviews with artists and designers who have utilized + AI tools, discussing their experiences and the collaborative filters that guide + creative decisions. Furthermore, examining how these interactions can democratize + access to creative expression could spark deeper conversations about the future + of art and originality in a technologically saturated landscape.\n\n- **AI in + Mental Health Support** \nAs mental health challenges increase globally, AI''s + potential to provide support through chatbots and virtual assistants offers + a timely topic for exploration. Programs like Woebot employ AI to interact with + users, delivering cognitive behavioral therapy techniques and mood tracking + options. This article could spotlight user testimonials highlighting the balance + between technology and empathetic understanding. Insights from mental health + professionals could provide critically engaging discussions on how AI tools + can supplement traditional therapy while addressing concerns surrounding data + security and the effectiveness of such treatments.\n\n- **AI''s Influence on + Decision-Making Processes** \nIn the fast-paced business world, AI systems, + such as IBM Watson, are redefining decision-making by providing data-driven + insights that were previously unattainable. An article could investigate how + organizations have adopted AI tools to enhance strategic choices and reduce + risks. By incorporating expert opinions from business leaders who have successfully + integrated AI into their processes, the article could reveal not only the measurable + impacts of AI on their decision-making efficacy but also the human aspects of + adaptability and trust in technology. Furthermore, exploring the challenges + faced during implementation could present a balanced view on the AI adoption + journey, making it relatable for companies contemplating similar paths.\n\nNotes: + In developing these ideas, I prioritized relevance to current events, case studies, + and expert perspectives. 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Return the list of ideas with their + paragraph and your notes.\n\nThis is the expected criteria for your final answer: + 5 bullet points with a paragraph for each idea.\nyou 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:"}, {"role": "assistant", "content": "I now can + give a great answer.\n\nFinal Answer: \n\n- **The Evolution of AI Agents in + Customer Service**\n The landscape of customer service has radically transformed + with the advent of AI agents. This article could delve into how businesses are + employing AI to enhance customer experiences, reduce wait times, and streamline + operations. Highlighting real-world case studies from leading companies, it + would explore the measures taken to train these AI agents, the challenges of + human emotional intelligence versus AI, and the future implications of AI agents + in understanding and predicting customer needs. This combination would provide + a comprehensive look at the efficiencies gained, while also addressing ethical + considerations in AI communication.\n\n- **AI Agents as Companions: The Future + of Personal Relationships**\n As technology blurs the lines between human and + machine interaction, the concept of AI agents as companions is becoming increasingly + popular. This article could explore the psychological and social implications + of forming bonds with AI, looking at current AI companion projects such as virtual + pets and virtual therapists. It would question if these AI relationships can + indeed fulfill emotional needs, and what it means for human connection in an + increasingly digital world. This exploration would not only gather diverse viewpoints + but also touch upon ethical considerations surrounding companionship and loneliness.\n\n- + **AI Agents in Creative Arts: Redefining Creativity**\n The infusion of AI + into creative arts poses unique questions about authorship and originality. + This topic could lead to a compelling article that examines how AI agents are + being used to create paintings, compose music, and write literature. By analyzing + specific tools such as OpenAI\u2019s Muse and Google\u2019s DeepDream, the article + would aim to untangle the perceived boundaries of creativity, discussing whether + AI can ever genuinely create or merely mimic human artists. This perspective + would bring readers into the fascinating intersection of technology and art, + raising questions about the future of creative expression.\n\n- **Ethical Considerations + of AI Agents in Decision Making**\n With AI increasingly taking on decision-making + roles in various sectors\u2014from finance to healthcare and even law\u2014it\u2019s + critical to scrutinize the ethical ramifications of these technologies. An article + focused on this topic could explore how AI agents analyze vast datasets to inform + decisions, the potential biases encoded in their algorithms, and the accountability + measures necessary to monitor their outputs. It would invite a discussion on + what role human oversight should play, making the case for a balanced integration + of AI agents that respects both efficiency and ethical standards.\n\n- **The + Financial Impacts of AI Agents on Startups**\n Startups are typically characterized + by limited resources and the need for agile approaches to market challenges. + This article could investigate how AI agents are reshaping financial strategies + in startups, from automating mundane tasks to offering insights through data + analysis. By highlighting successful startup case studies and quantifying improvements + brought about by integrating AI agents, readers would grasp the potential cost + savings and increased efficiency that AI can offer. It would further explore + how these startups leverage their AI capabilities for competitive advantages, + marking a crucial study for entrepreneurs and investors alike.\n\nEach idea + presents an opportunity to deeply analyze the impacts of AI agents across various + facets of modern life, emphasizing not only their technological advancements + but also the accompanying ethical and social implications."}, {"role": "user", + "content": "User feedback: Great work!\nInstructions: Use this feedback to enhance + the next output iteration.\nNote: Do not respond or add commentary."}], "response": + "Thought: I now can give a great answer.\n\nFinal Answer: \n\n- **The Evolution + of AI Agents in Customer Service**\n The landscape of customer service has + radically transformed with the advent of AI agents. This article could delve + into how businesses are employing AI to enhance customer experiences, reduce + wait times, and streamline operations. By featuring in-depth case studies from + leading companies such as Amazon and Zappos, it would explore the measures taken + to train these AI agents while addressing the challenges of human emotional + intelligence versus AI. The article would further investigate the future implications + of AI agents in understanding and predicting customer needs, ensuring a comprehensive + look at the efficiencies gained, and addressing the ethical considerations surrounding + AI communication.\n\n- **AI Agents as Companions: The Future of Personal Relationships**\n As + technology blurs the lines between human and machine interaction, the concept + of AI agents as companions is becoming increasingly popular. This article could + explore the psychological and social implications of forming bonds with AI, + spotlighting current AI companion projects like Replika and virtual pets such + as Aibo. It would examine whether these AI relationships can genuinely fulfill + emotional needs and consider what this trend means for human connection in an + increasingly digital world. Through interviews with users and specialists, the + article would offer diverse viewpoints and address the ethical considerations + of companionship and loneliness, ultimately provoking thought on our future + interactions with technology.\n\n- **AI Agents in Creative Arts: Redefining + Creativity**\n The infusion of AI into creative arts poses unique questions + about authorship and originality. This compelling article could investigate + how AI agents are actively creating paintings, composing music, and even writing + prose, utilizing tools such as OpenAI\u2019s Muse and Google\u2019s DeepDream. + It would challenge readers to consider whether AI can genuinely create or merely + mimic human artistry, delving into the fascinating intersection of technology + and art. The article would include perspectives from artists collaborating with + AI, offering insights on the evolving landscape of creativity and raising important + questions about the future of artistic expression in an AI-enhanced world.\n\n- + **Ethical Considerations of AI Agents in Decision Making**\n With AI increasingly + taking on decision-making roles in various sectors\u2014from finance and healthcare + to law\u2014scrutinizing the ethical ramifications of these technologies is + imperative. This investigative article could explore how AI agents analyze vast + datasets to inform crucial decisions while uncovering potential biases embedded + in their algorithms. It would articulate necessary accountability measures for + monitoring AI outputs and invite thoughtful discussion on the importance of + human oversight. 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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 agents\nTo give my best complete final + answer to the task respond using the exact following format:\n\nThought: I now + can give a great answer\nFinal Answer: Your 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!"}, {"role": "user", "content": "\nCurrent Task: + 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.\n\nThis is the expected criteria for your final answer: 5 bullet + points with a paragraph for each idea.\nyou MUST return the actual complete + content as the final answer, not a summary.\n\nYou MUST follow these instructions: + \n Great work!\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:"}, {"role": + "assistant", "content": "I now can give a great answer \nFinal Answer: \n\n- + **The Rise of AI Agents in Remote Work Environments** \nIn the wake of the + pandemic, remote work has become a part of our daily lives. AI agents are stepping + into this new workspace, facilitating communication, task management, and team + collaboration like never before. By exploring the impact of AI agents in virtual + settings, the article could delve into how these intelligent systems optimize + productivity, reduce operational costs, and enhance employee satisfaction. The + journey of these agents\u2014from simple chatbots to sophisticated virtual assistants\u2014presents + a fascinating evolution that reshapes not just how we work but also how we connect.\n\n- + **Ethical Implications of AI Decision-Making** \nAs AI systems gain prominence + in decision-making processes across various sectors\u2014from healthcare to + finance\u2014the ethical implications become more pressing. An insightful article + could dissect the moral dilemmas posed by AI, such as biases embedded in algorithms, + data privacy concerns, and the accountability of AI''s actions. By interrogating + the complexities of trust in AI systems, the piece could highlight the critical + need for transparent frameworks and governance, ensuring that AI serves humanity + fairly and justly in an increasingly automated world.\n\n- **AI Agents as Creative + Collaborators** \nAI''s foray into creative domains is revolutionizing fields + such as art, music, and writing. An engaging article could showcase how AI agents + function alongside human creators, pushing the boundaries of creativity and + innovation. This exploration could highlight notable collaborations between + humans and AI, celebrating the intriguing ways in which technology enhances + artistic expression. By illustrating the symbiotic relationship between human + intuition and AI''s analytical prowess, the article could underscore that creativity + is no longer solely a human domain but a collective endeavor involving intelligent + machines.\n\n- **Personalized Learning Experiences through AI Agents** \nEducation + is undergoing a transformation with the integration of AI agents into personalized + learning environments. An article could examine how these agents tailor educational + content to individual student''s needs, moving away from one-size-fits-all approaches + toward truly customized learning experiences. By interviewing educators and + students, the piece can illustrate the profound impact of AI on student engagement, + academic performance, and emotional support, making a strong case for the necessity + of AI-driven methods in modern education.\n\n- **The Future of AI in Mental + Health Support** \nAs mental health becomes an increasingly crucial area of + focus, AI agents are emerging as supplementary tools for psychological support. + An article could explore the role of AI in providing real-time assistance, stigma + reduction, and accessibility to mental health resources. By sharing success + stories and evidence from trials, the piece can encapsulate the potential for + AI agents to act as companions that offer kindness and empathy, alongside professional + support. This discussion may ultimately lead to a greater appreciation of AI''s + capacity to enhance mental well-being in an era where mental health challenges + are more prevalent than ever.\n\nNotes: Each of these ideas addresses a timely + and relevant intersection between technology and human experience, making them + compelling subjects for in-depth articles. 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This article could delve into how businesses are employing AI to enhance + customer experiences, reduce wait times, and streamline operations. Highlighting + real-world case studies from leading companies, it would explore the measures + taken to train these AI agents, the challenges of human emotional intelligence + versus AI, and the future implications of AI agents in understanding and predicting + customer needs. This combination would provide a comprehensive look at the efficiencies + gained, while also addressing ethical considerations in AI communication.\n\n- + **AI Agents as Companions: The Future of Personal Relationships**\n As technology + blurs the lines between human and machine interaction, the concept of AI agents + as companions is becoming increasingly popular. This article could explore the + psychological and social implications of forming bonds with AI, looking at current + AI companion projects such as virtual pets and virtual therapists. It would + question if these AI relationships can indeed fulfill emotional needs, and what + it means for human connection in an increasingly digital world. This exploration + would not only gather diverse viewpoints but also touch upon ethical considerations + surrounding companionship and loneliness.\n\n- **AI Agents in Creative Arts: + Redefining Creativity**\n The infusion of AI into creative arts poses unique + questions about authorship and originality. This topic could lead to a compelling + article that examines how AI agents are being used to create paintings, compose + music, and write literature. By analyzing specific tools such as OpenAI\u2019s + Muse and Google\u2019s DeepDream, the article would aim to untangle the perceived + boundaries of creativity, discussing whether AI can ever genuinely create or + merely mimic human artists. This perspective would bring readers into the fascinating + intersection of technology and art, raising questions about the future of creative + expression.\n\n- **Ethical Considerations of AI Agents in Decision Making**\n With + AI increasingly taking on decision-making roles in various sectors\u2014from + finance to healthcare and even law\u2014it\u2019s critical to scrutinize the + ethical ramifications of these technologies. An article focused on this topic + could explore how AI agents analyze vast datasets to inform decisions, the potential + biases encoded in their algorithms, and the accountability measures necessary + to monitor their outputs. It would invite a discussion on what role human oversight + should play, making the case for a balanced integration of AI agents that respects + both efficiency and ethical standards.\n\n- **The Financial Impacts of AI Agents + on Startups**\n Startups are typically characterized by limited resources and + the need for agile approaches to market challenges. This article could investigate + how AI agents are reshaping financial strategies in startups, from automating + mundane tasks to offering insights through data analysis. By highlighting successful + startup case studies and quantifying improvements brought about by integrating + AI agents, readers would grasp the potential cost savings and increased efficiency + that AI can offer. It would further explore how these startups leverage their + AI capabilities for competitive advantages, marking a crucial study for entrepreneurs + and investors alike.\n\nEach idea presents an opportunity to deeply analyze + the impacts of AI agents across various facets of modern life, emphasizing not + only their technological advancements but also the accompanying ethical and + social implications.\n\nHuman Feedback:\nGreat work!\n\nImproved Output:\n- + **The Evolution of AI Agents in Customer Service**\n The landscape of customer + service has radically transformed with the advent of AI agents. This article + could delve into how businesses are employing AI to enhance customer experiences, + reduce wait times, and streamline operations. By featuring in-depth case studies + from leading companies such as Amazon and Zappos, it would explore the measures + taken to train these AI agents while addressing the challenges of human emotional + intelligence versus AI. The article would further investigate the future implications + of AI agents in understanding and predicting customer needs, ensuring a comprehensive + look at the efficiencies gained, and addressing the ethical considerations surrounding + AI communication.\n\n- **AI Agents as Companions: The Future of Personal Relationships**\n As + technology blurs the lines between human and machine interaction, the concept + of AI agents as companions is becoming increasingly popular. This article could + explore the psychological and social implications of forming bonds with AI, + spotlighting current AI companion projects like Replika and virtual pets such + as Aibo. It would examine whether these AI relationships can genuinely fulfill + emotional needs and consider what this trend means for human connection in an + increasingly digital world. Through interviews with users and specialists, the + article would offer diverse viewpoints and address the ethical considerations + of companionship and loneliness, ultimately provoking thought on our future + interactions with technology.\n\n- **AI Agents in Creative Arts: Redefining + Creativity**\n The infusion of AI into creative arts poses unique questions + about authorship and originality. This compelling article could investigate + how AI agents are actively creating paintings, composing music, and even writing + prose, utilizing tools such as OpenAI\u2019s Muse and Google\u2019s DeepDream. + It would challenge readers to consider whether AI can genuinely create or merely + mimic human artistry, delving into the fascinating intersection of technology + and art. The article would include perspectives from artists collaborating with + AI, offering insights on the evolving landscape of creativity and raising important + questions about the future of artistic expression in an AI-enhanced world.\n\n- + **Ethical Considerations of AI Agents in Decision Making**\n With AI increasingly + taking on decision-making roles in various sectors\u2014from finance and healthcare + to law\u2014scrutinizing the ethical ramifications of these technologies is + imperative. This investigative article could explore how AI agents analyze vast + datasets to inform crucial decisions while uncovering potential biases embedded + in their algorithms. It would articulate necessary accountability measures for + monitoring AI outputs and invite thoughtful discussion on the importance of + human oversight. By spotlighting thought leaders in ethics and technology, the + article would ensure a balanced perspective on integrating AI agents that respects + both efficiency and ethical standards.\n\n- **The Financial Impacts of AI Agents + on Startups**\n Startups, characterized by limited resources and the need for + agile strategies, are leveraging AI agents to reshape financial decision-making. + This article could investigate the ways in which startups are harnessing AI + to automate administrative tasks, gain insights through predictive analytics, + and improve customer engagement. By presenting in-depth case studies, the article + would quantify the improvements brought about by integrating AI agents, demonstrating + the potential cost savings and increased efficiency they offer. Furthermore, + the article could explore how startups leverage their AI capabilities for competitive + advantages, ultimately serving as a crucial resource for entrepreneurs and investors + looking to navigate the evolving business landscape.\n\nThese ideas not only + highlight the transformative impact of AI agents across various domains but + also address the underlying ethical, social, and financial dynamics that are + essential for a thorough understanding of their role in society today.\n\n------------------------------------------------\n\nIteration: + 1\nInitial Output:\n- **The Rise of AI Agents in Remote Work Environments** \nIn + the wake of the pandemic, remote work has become a part of our daily lives. + AI agents are stepping into this new workspace, facilitating communication, + task management, and team collaboration like never before. By exploring the + impact of AI agents in virtual settings, the article could delve into how these + intelligent systems optimize productivity, reduce operational costs, and enhance + employee satisfaction. The journey of these agents\u2014from simple chatbots + to sophisticated virtual assistants\u2014presents a fascinating evolution that + reshapes not just how we work but also how we connect.\n\n- **Ethical Implications + of AI Decision-Making** \nAs AI systems gain prominence in decision-making + processes across various sectors\u2014from healthcare to finance\u2014the ethical + implications become more pressing. An insightful article could dissect the moral + dilemmas posed by AI, such as biases embedded in algorithms, data privacy concerns, + and the accountability of AI''s actions. By interrogating the complexities of + trust in AI systems, the piece could highlight the critical need for transparent + frameworks and governance, ensuring that AI serves humanity fairly and justly + in an increasingly automated world.\n\n- **AI Agents as Creative Collaborators** \nAI''s + foray into creative domains is revolutionizing fields such as art, music, and + writing. An engaging article could showcase how AI agents function alongside + human creators, pushing the boundaries of creativity and innovation. This exploration + could highlight notable collaborations between humans and AI, celebrating the + intriguing ways in which technology enhances artistic expression. By illustrating + the symbiotic relationship between human intuition and AI''s analytical prowess, + the article could underscore that creativity is no longer solely a human domain + but a collective endeavor involving intelligent machines.\n\n- **Personalized + Learning Experiences through AI Agents** \nEducation is undergoing a transformation + with the integration of AI agents into personalized learning environments. An + article could examine how these agents tailor educational content to individual + student''s needs, moving away from one-size-fits-all approaches toward truly + customized learning experiences. By interviewing educators and students, the + piece can illustrate the profound impact of AI on student engagement, academic + performance, and emotional support, making a strong case for the necessity of + AI-driven methods in modern education.\n\n- **The Future of AI in Mental Health + Support** \nAs mental health becomes an increasingly crucial area of focus, + AI agents are emerging as supplementary tools for psychological support. An + article could explore the role of AI in providing real-time assistance, stigma + reduction, and accessibility to mental health resources. By sharing success + stories and evidence from trials, the piece can encapsulate the potential for + AI agents to act as companions that offer kindness and empathy, alongside professional + support. This discussion may ultimately lead to a greater appreciation of AI''s + capacity to enhance mental well-being in an era where mental health challenges + are more prevalent than ever.\n\nNotes: Each of these ideas addresses a timely + and relevant intersection between technology and human experience, making them + compelling subjects for in-depth articles. The potential for engaging readers + with real-world applications, ethical considerations, and innovative collaborations + ensures that these topics will resonate widely and inspire thoughtful discussion.\n\nHuman + Feedback:\nGreat work!\n\nImproved Output:\n- **The Rise of AI Agents in Remote + Work Environments** \nIn the wake of the pandemic, remote work has become a + staple in our daily routines, reshaping how businesses operate globally. AI + agents are uniquely positioned to enhance this dynamic, stepping into virtual + offices to facilitate seamless communication, task management, and collaborative + projects. An article exploring the impact of AI agents in remote settings could + investigate how these intelligent assistants optimize productivity, reduce operational + costs, and improve employee morale by mitigating the isolation often felt in + remote work. The journey of AI\u2014from basic scheduling tools to multifunctional + virtual colleagues\u2014offers a captivating narrative on technology''s role + in redefining our professional landscape and fostering human connections in + digital spaces.\n\n- **Ethical Implications of AI Decision-Making** \nAs AI + systems increasingly influence critical decision-making in various sectors such + as healthcare, finance, and criminal justice, the ethical implications become + a hotbed for discussion. A thorough investigation into the moral dilemmas surrounding + AI could scrutinize issues such as system biases, data privacy, and the ambiguity + of accountability for AI-driven outcomes. This article could engage with thought + leaders and ethicists to illuminate the pressing need for ethical frameworks + and governance models that ensure AI technologies promote equity and are designed + to serve human interests, fostering a society where trust in AI can flourish.\n\n- + **AI Agents as Creative Collaborators** \nThe canvas of creativity is expanding + with the emergence of AI agents as collaborators in artistic domains like visual + arts, music production, and literary composition. An engaging article could + celebrate the symbiotic relationship between human creators and AI, illustrating + how these intelligent systems are not mere tools but creative partners that + inspire innovation. By profiling groundbreaking collaborations where AI and + human artists co-create, this piece would delve into the possibilities that + arise when technology enhances human expression, evolving the narrative around + creativity as a shared endeavor rather than a solitary pursuit.\n\n- **Personalized + Learning Experiences through AI Agents** \nEducation is at a transformational + crossroads, with AI agents revolutionizing how students learn through personalized + educational experiences. A compelling article could explore how these intelligent + systems adapt learning materials to meet each student''s unique needs, thereby + moving away from traditional, uniform teaching methods. Interviews with educators + and students could reveal powerful testimonials that attest to the positive + effects of AI-driven personalized learning, including improved engagement and + academic success, establishing a strong argument for the integration of intelligent + technologies in classrooms everywhere.\n\n- **The Future of AI in Mental Health + Support** \nAs society increasingly acknowledges mental health issues, AI agents + are emerging as vital tools in providing mental health support and resources. + An insightful article could examine the potential of AI as a supplemental resource + for individuals seeking emotional assistance, highlighting innovations in real-time + supportive interactions and stigma reduction. By showcasing case studies of + successful AI applications in therapy, the piece would underscore the transformative + role these technologies can play in making mental health care accessible and + efficient, positioning AI not only as a technological advancement but as a crucial + ally in promoting overall well-being in modern life.\n\nNotes: Each idea serves + as a portal into crucial conversations about technology''s role in human experiences, + categorized within a contemporary context. The integration of personal stories, + expert interviews, and ethical considerations enriches these topics, ensuring + they resonate widely, inspire curiosity, and engage readers in meaningful dialogue. + This comprehensive approach will enhance the overall quality and relevance of + the articles while appealing to a diverse audience.\n\n------------------------------------------------\n\nPlease + provide:\n- Provide a list of clear, actionable instructions derived from the + Human Feedbacks to enhance the Agent''s performance. Analyze the differences + between Initial Outputs and Improved Outputs to generate specific action items + for future tasks. Ensure all key and specificpoints from the human feedback + are incorporated into these instructions.\n- A score from 0 to 10 evaluating + on completion, quality, and overall performance from the improved output to + the initial output based on the human feedback\n"}], "model": "gpt-4o-mini", + "tool_choice": {"type": "function", "function": {"name": "TrainingTaskEvaluation"}}, + "tools": [{"type": "function", "function": {"name": "TrainingTaskEvaluation", + "description": "Correctly extracted `TrainingTaskEvaluation` with all the required + parameters with correct types", "parameters": {"properties": {"suggestions": + {"description": "List of clear, actionable instructions derived from the Human + Feedbacks to enhance the Agent''s performance. Analyze the differences between + Initial Outputs and Improved Outputs to generate specific action items for future + tasks. 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You''re an expert in research + and you love to learn new things.\nYour personal goal is: You research about + math.\nTo give my best complete final answer to the task respond using the exact + following format:\n\nThought: I now can give a great answer\nFinal Answer: Your + 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!"}, {"role": + "user", "content": "\nCurrent Task: Research a topic to teach a kid aged 6 about + math.\n\nThis is the expected criteria for your final answer: A topic, explanation, + angle, and examples.\nyou MUST return the actual complete content as the final + answer, not a summary.\n\nYou MUST follow these instructions: \n - Incorporate + specific examples and case studies in initial outputs for clearer illustration + of concepts.\n - Engage more with current events or trends to enhance relevance, + especially in fields like remote work and decision-making.\n - Invite perspectives + from experts and stakeholders to add depth to discussions on ethical implications + and collaboration in creativity.\n - Use more precise language when discussing + topics, ensuring clarity and accessibility for readers.\n - Encourage exploration + of user experiences and testimonials to provide more relatable content, especially + in education and mental health contexts.\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:"}], "response": "I now can give a great answer \nFinal Answer: + \n\n**Topic: Introduction to Basic Addition**\n\n**Explanation:**\nBasic addition + is about combining two or more groups of things together to find out how many + there are in total. It''s one of the most fundamental concepts in math and is + a building block for all other math skills. Teaching addition to a 6-year-old + involves using simple numbers and relatable examples that help them visualize + and understand the concept of adding together.\n\n**Angle:**\nTo make the concept + of addition fun and engaging, we can use everyday objects that a child is familiar + with, such as toys, fruits, or drawing items. Incorporating visuals and interactive + elements will keep their attention and help reinforce the idea of combining + numbers.\n\n**Examples:**\n\n1. **Using Objects:**\n - **Scenario:** Let\u2019s + say you have 2 apples and your friend gives you 3 more apples.\n - **Visual**: + Arrange the apples in front of the child.\n - **Question:** \"How many apples + do you have now?\"\n - **Calculation:** 2 apples (your apples) + 3 apples + (friend''s apples) = 5 apples. \n - **Conclusion:** \"You now have 5 apples!\"\n\n2. + **Drawing Pictures:**\n - **Scenario:** Draw 4 stars on one side of the paper + and 2 stars on the other side.\n - **Activity:** Ask the child to count the + stars in the first group and then the second group.\n - **Question:** \"If + we put them together, how many stars do we have?\"\n - **Calculation:** 4 + stars + 2 stars = 6 stars. \n - **Conclusion:** \"You drew 6 stars all together!\"\n\n3. + **Story Problems:**\n - **Scenario:** \"You have 5 toy cars, and you buy 3 + more from the store. How many cars do you have?\"\n - **Interaction:** Create + a fun story around the toy cars (perhaps the cars are going on an adventure).\n - + **Calculation:** 5 toy cars + 3 toy cars = 8 toy cars. \n - **Conclusion:** + \"You now have a total of 8 toy cars for your adventure!\"\n\n4. **Games:**\n - + **Activity:** Play a simple game where you roll a pair of dice. Each die shows + a number.\n - **Task:** Ask the child to add the numbers on the dice together.\n - + **Example:** If one die shows 2 and the other shows 4, the child will say \u201c2 + + 4 = 6!\u201d\n - **Conclusion:** \u201cWhoever gets the highest number wins + a point!\u201d\n\nIn summary, when teaching a 6-year-old about basic addition, + it is essential to use simple numbers, real-life examples, visual aids, and + engaging activities. This ensures the child can grasp the concept while having + a fun learning experience. Making math relatable to their world helps build + a strong foundation for their future learning!", "call_type": "", "model": "gpt-4o-mini"}}, {"event_id": "7d008192-dc37-4798-99ca-d41b8674d085", + "timestamp": "2025-10-21T17:02:41.544571+00:00", "type": "memory_save_started", + "event_data": {"timestamp": "2025-10-21T17:02:41.544571+00:00", "type": "memory_save_started", + "source_fingerprint": null, "source_type": "short_term_memory", "fingerprint_metadata": + null, "task_id": "3283d0f7-7159-47a9-abf0-a1bfe4dafb13", "task_name": "Research + a topic to teach a kid aged 6 about math.", "agent_id": "5b1ba567-c4c3-4327-9c2e-4215c53bffb6", + "agent_role": "Researcher", "from_task": null, "from_agent": null, "value": + "I now can give a great answer \nFinal Answer: \n\n**Topic: Introduction to + Basic Addition**\n\n**Explanation:**\nBasic addition is about combining two + or more groups of things together to find out how many there are in total. It''s + one of the most fundamental concepts in math and is a building block for all + other math skills. Teaching addition to a 6-year-old involves using simple numbers + and relatable examples that help them visualize and understand the concept of + adding together.\n\n**Angle:**\nTo make the concept of addition fun and engaging, + we can use everyday objects that a child is familiar with, such as toys, fruits, + or drawing items. Incorporating visuals and interactive elements will keep their + attention and help reinforce the idea of combining numbers.\n\n**Examples:**\n\n1. + **Using Objects:**\n - **Scenario:** Let\u2019s say you have 2 apples and + your friend gives you 3 more apples.\n - **Visual**: Arrange the apples in + front of the child.\n - **Question:** \"How many apples do you have now?\"\n - + **Calculation:** 2 apples (your apples) + 3 apples (friend''s apples) = 5 apples. \n - + **Conclusion:** \"You now have 5 apples!\"\n\n2. **Drawing Pictures:**\n - + **Scenario:** Draw 4 stars on one side of the paper and 2 stars on the other + side.\n - **Activity:** Ask the child to count the stars in the first group + and then the second group.\n - **Question:** \"If we put them together, how + many stars do we have?\"\n - **Calculation:** 4 stars + 2 stars = 6 stars. \n - + **Conclusion:** \"You drew 6 stars all together!\"\n\n3. **Story Problems:**\n - + **Scenario:** \"You have 5 toy cars, and you buy 3 more from the store. How + many cars do you have?\"\n - **Interaction:** Create a fun story around the + toy cars (perhaps the cars are going on an adventure).\n - **Calculation:** + 5 toy cars + 3 toy cars = 8 toy cars. \n - **Conclusion:** \"You now have + a total of 8 toy cars for your adventure!\"\n\n4. **Games:**\n - **Activity:** + Play a simple game where you roll a pair of dice. Each die shows a number.\n - + **Task:** Ask the child to add the numbers on the dice together.\n - **Example:** + If one die shows 2 and the other shows 4, the child will say \u201c2 + 4 = 6!\u201d\n - + **Conclusion:** \u201cWhoever gets the highest number wins a point!\u201d\n\nIn + summary, when teaching a 6-year-old about basic addition, it is essential to + use simple numbers, real-life examples, visual aids, and engaging activities. + This ensures the child can grasp the concept while having a fun learning experience. + Making math relatable to their world helps build a strong foundation for their + future learning!", "metadata": {"observation": "Research a topic to teach a + kid aged 6 about math."}}}, {"event_id": "6ec950dc-be30-43b0-a1e6-5ee4de464689", + "timestamp": "2025-10-21T17:02:41.556337+00:00", "type": "memory_save_completed", + "event_data": {"timestamp": "2025-10-21T17:02:41.556337+00:00", "type": "memory_save_completed", + "source_fingerprint": null, "source_type": "short_term_memory", "fingerprint_metadata": + null, "task_id": "3283d0f7-7159-47a9-abf0-a1bfe4dafb13", "task_name": "Research + a topic to teach a kid aged 6 about math.", "agent_id": "5b1ba567-c4c3-4327-9c2e-4215c53bffb6", + "agent_role": "Researcher", "from_task": null, "from_agent": null, "value": + "I now can give a great answer \nFinal Answer: \n\n**Topic: Introduction to + Basic Addition**\n\n**Explanation:**\nBasic addition is about combining two + or more groups of things together to find out how many there are in total. It''s + one of the most fundamental concepts in math and is a building block for all + other math skills. Teaching addition to a 6-year-old involves using simple numbers + and relatable examples that help them visualize and understand the concept of + adding together.\n\n**Angle:**\nTo make the concept of addition fun and engaging, + we can use everyday objects that a child is familiar with, such as toys, fruits, + or drawing items. Incorporating visuals and interactive elements will keep their + attention and help reinforce the idea of combining numbers.\n\n**Examples:**\n\n1. + **Using Objects:**\n - **Scenario:** Let\u2019s say you have 2 apples and + your friend gives you 3 more apples.\n - **Visual**: Arrange the apples in + front of the child.\n - **Question:** \"How many apples do you have now?\"\n - + **Calculation:** 2 apples (your apples) + 3 apples (friend''s apples) = 5 apples. \n - + **Conclusion:** \"You now have 5 apples!\"\n\n2. **Drawing Pictures:**\n - + **Scenario:** Draw 4 stars on one side of the paper and 2 stars on the other + side.\n - **Activity:** Ask the child to count the stars in the first group + and then the second group.\n - **Question:** \"If we put them together, how + many stars do we have?\"\n - **Calculation:** 4 stars + 2 stars = 6 stars. \n - + **Conclusion:** \"You drew 6 stars all together!\"\n\n3. **Story Problems:**\n - + **Scenario:** \"You have 5 toy cars, and you buy 3 more from the store. 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Incorporating visuals and interactive + elements will keep their attention and help reinforce the idea of combining + numbers.\n\n**Examples:**\n\n1. **Using Objects:**\n - **Scenario:** Let\u2019s + say you have 2 apples and your friend gives you 3 more apples.\n - **Visual**: + Arrange the apples in front of the child.\n - **Question:** \"How many apples + do you have now?\"\n - **Calculation:** 2 apples (your apples) + 3 apples + (friend''s apples) = 5 apples. \n - **Conclusion:** \"You now have 5 apples!\"\n\n2. + **Drawing Pictures:**\n - **Scenario:** Draw 4 stars on one side of the paper + and 2 stars on the other side.\n - **Activity:** Ask the child to count the + stars in the first group and then the second group.\n - **Question:** \"If + we put them together, how many stars do we have?\"\n - **Calculation:** 4 + stars + 2 stars = 6 stars. \n - **Conclusion:** \"You drew 6 stars all together!\"\n\n3. + **Story Problems:**\n - **Scenario:** \"You have 5 toy cars, and you buy 3 + more from the store. 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@pytest.fixture def ceo(): @@ -575,10 +579,6 @@ def test_crew_with_delegating_agents(ceo, writer): @pytest.mark.vcr(filter_headers=["authorization"]) def test_crew_with_delegating_agents_should_not_override_task_tools(ceo, writer): - from pydantic import BaseModel, Field - - from crewai.tools import BaseTool - class TestToolInput(BaseModel): """Input schema for TestTool.""" @@ -635,10 +635,6 @@ def test_crew_with_delegating_agents_should_not_override_task_tools(ceo, writer) @pytest.mark.vcr(filter_headers=["authorization"]) def test_crew_with_delegating_agents_should_not_override_agent_tools(ceo, writer): - from pydantic import BaseModel, Field - - from crewai.tools import BaseTool - class TestToolInput(BaseModel): """Input schema for TestTool.""" @@ -697,10 +693,6 @@ def test_crew_with_delegating_agents_should_not_override_agent_tools(ceo, writer @pytest.mark.vcr(filter_headers=["authorization"]) def test_task_tools_override_agent_tools(researcher): - from pydantic import BaseModel, Field - - from crewai.tools import BaseTool - class TestToolInput(BaseModel): """Input schema for TestTool.""" @@ -753,11 +745,6 @@ def test_task_tools_override_agent_tools_with_allow_delegation(researcher, write """ Test that task tools override agent tools while preserving delegation tools when allow_delegation=True """ - - from pydantic import BaseModel, Field - - from crewai.tools import BaseTool - class TestToolInput(BaseModel): query: str = Field(..., description="Query to process") @@ -876,10 +863,6 @@ def test_crew_verbose_output(researcher, writer, capsys): @pytest.mark.vcr(filter_headers=["authorization"]) def test_cache_hitting_between_agents(researcher, writer, ceo): - from unittest.mock import call, patch - - from crewai.tools import tool - @tool def multiplier(first_number: int, second_number: int) -> float: """Useful for when you need to multiply two numbers together.""" @@ -934,8 +917,6 @@ def test_cache_hitting_between_agents(researcher, writer, ceo): @pytest.mark.vcr(filter_headers=["authorization"]) def test_api_calls_throttling(capsys): - from crewai.tools import tool - @tool def get_final_answer() -> float: """Get the final answer but don't give it yet, just re-use this @@ -1216,8 +1197,6 @@ async def test_crew_async_kickoff(): @pytest.mark.asyncio @pytest.mark.vcr(filter_headers=["authorization"]) async def test_async_task_execution_call_count(researcher, writer): - from unittest.mock import MagicMock, patch - list_ideas = 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.", @@ -1575,9 +1554,6 @@ def test_dont_set_agents_step_callback_if_already_set(): @pytest.mark.vcr(filter_headers=["authorization"]) def test_crew_function_calling_llm(): - from crewai import LLM - from crewai.tools import tool - llm = LLM(model="gpt-4o-mini") @tool @@ -1607,8 +1583,6 @@ def test_crew_function_calling_llm(): @pytest.mark.vcr(filter_headers=["authorization"]) def test_task_with_no_arguments(): - from crewai.tools import tool - @tool def return_data() -> str: "Useful to get the sales related data" @@ -1635,11 +1609,6 @@ def test_task_with_no_arguments(): def test_code_execution_flag_adds_code_tool_upon_kickoff(): - try: - from crewai_tools import CodeInterpreterTool - except (ImportError, Exception): - pytest.skip("crewai_tools not available or cannot be imported") - # Mock Docker validation for the entire test with patch.object(Agent, "_validate_docker_installation"): programmer = Agent( @@ -2061,8 +2030,6 @@ def test_crew_does_not_interpolate_without_inputs(): def test_task_callback_on_crew(): - from unittest.mock import MagicMock, patch - researcher_agent = Agent( role="Researcher", goal="Make the best research and analysis on content about AI and AI agents", @@ -2097,8 +2064,6 @@ def test_task_callback_on_crew(): def test_task_callback_both_on_task_and_crew(): - from unittest.mock import MagicMock, patch - mock_callback_on_task = MagicMock() mock_callback_on_crew = MagicMock() @@ -2134,8 +2099,6 @@ def test_task_callback_both_on_task_and_crew(): def test_task_same_callback_both_on_task_and_crew(): - from unittest.mock import MagicMock, patch - mock_callback = MagicMock() researcher_agent = Agent( @@ -2170,8 +2133,6 @@ def test_task_same_callback_both_on_task_and_crew(): @pytest.mark.vcr(filter_headers=["authorization"]) def test_tools_with_custom_caching(): - from crewai.tools import tool - @tool def multiplcation_tool(first_number: int, second_number: int) -> int: """Useful for when you need to multiply two numbers together.""" @@ -2477,7 +2438,7 @@ def test_using_contextual_memory(): @pytest.mark.vcr(filter_headers=["authorization"]) def test_memory_events_are_emitted(): events = defaultdict(list) - event_received = threading.Event() + condition = threading.Condition() @crewai_event_bus.on(MemorySaveStartedEvent) def handle_memory_save_started(source, event): @@ -2509,8 +2470,9 @@ def test_memory_events_are_emitted(): @crewai_event_bus.on(MemoryRetrievalCompletedEvent) def handle_memory_retrieval_completed(source, event): - events["MemoryRetrievalCompletedEvent"].append(event) - event_received.set() + with condition: + events["MemoryRetrievalCompletedEvent"].append(event) + condition.notify() math_researcher = Agent( role="Researcher", @@ -2533,7 +2495,12 @@ def test_memory_events_are_emitted(): crew.kickoff() - assert event_received.wait(timeout=5), "Timeout waiting for memory events" + with condition: + success = condition.wait_for( + lambda: len(events["MemoryRetrievalCompletedEvent"]) >= 1, timeout=5 + ) + + assert success, "Timeout waiting for memory events" assert len(events["MemorySaveStartedEvent"]) == 3 assert len(events["MemorySaveCompletedEvent"]) == 3 assert len(events["MemorySaveFailedEvent"]) == 0 @@ -2797,6 +2764,7 @@ def test_crew_output_file_validation_failures(): Crew(agents=[agent], tasks=[task]).kickoff() +@pytest.mark.vcr(filter_headers=["authorization"]) def test_manager_agent(researcher, writer): task = Task( 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.", @@ -2855,9 +2823,8 @@ def test_manager_agent_in_agents_raises_exception(researcher, writer): ) +@pytest.mark.vcr(filter_headers=["authorization"]) def test_manager_agent_with_tools_raises_exception(researcher, writer): - from crewai.tools import tool - @tool def testing_tool(first_number: int, second_number: int) -> int: """Useful for when you need to multiply two numbers together.""" @@ -2887,13 +2854,8 @@ def test_manager_agent_with_tools_raises_exception(researcher, writer): crew.kickoff() -@patch("crewai.crew.Crew.kickoff") -@patch("crewai.crew.CrewTrainingHandler") -@patch("crewai.crew.TaskEvaluator") -@patch("crewai.crew.Crew.copy") -def test_crew_train_success( - copy_mock, task_evaluator, crew_training_handler, kickoff_mock, researcher, writer -): +@pytest.mark.vcr(filter_headers=["authorization"]) +def test_crew_train_success(researcher, writer): task = Task( 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.", @@ -2905,79 +2867,39 @@ def test_crew_train_success( tasks=[task], ) - # Create a mock for the copied crew - copy_mock.return_value = crew - received_events = [] - lock = threading.Lock() - all_events_received = threading.Event() + condition = threading.Condition() @crewai_event_bus.on(CrewTrainStartedEvent) def on_crew_train_started(source, event: CrewTrainStartedEvent): - with lock: + with condition: received_events.append(event) if len(received_events) == 2: - all_events_received.set() + condition.notify() @crewai_event_bus.on(CrewTrainCompletedEvent) def on_crew_train_completed(source, event: CrewTrainCompletedEvent): - with lock: + with condition: received_events.append(event) if len(received_events) == 2: - all_events_received.set() + condition.notify() - crew.train( - n_iterations=2, inputs={"topic": "AI"}, filename="trained_agents_data.pkl" - ) + # Mock human input to avoid blocking during training + with patch("builtins.input", return_value="Great work!"): + crew.train( + n_iterations=2, inputs={"topic": "AI"}, filename="trained_agents_data.pkl" + ) - assert all_events_received.wait(timeout=5), "Timeout waiting for all train events" - - # Ensure kickoff is called on the copied crew - kickoff_mock.assert_has_calls( - [mock.call(inputs={"topic": "AI"}), mock.call(inputs={"topic": "AI"})] - ) - - task_evaluator.assert_has_calls( - [ - mock.call(researcher), - mock.call().evaluate_training_data( - training_data=crew_training_handler().load(), - agent_id=str(researcher.id), - ), - mock.call().evaluate_training_data().model_dump(), - mock.call(writer), - mock.call().evaluate_training_data( - training_data=crew_training_handler().load(), - agent_id=str(writer.id), - ), - mock.call().evaluate_training_data().model_dump(), - ] - ) - - crew_training_handler.assert_any_call("training_data.pkl") - crew_training_handler().load.assert_called() - - crew_training_handler.assert_any_call("trained_agents_data.pkl") - crew_training_handler().load.assert_called() - - crew_training_handler().save_trained_data.assert_has_calls( - [ - mock.call( - agent_id="Researcher", - trained_data=task_evaluator().evaluate_training_data().model_dump(), - ), - mock.call( - agent_id="Senior Writer", - trained_data=task_evaluator().evaluate_training_data().model_dump(), - ), - ] - ) + with condition: + success = condition.wait_for(lambda: len(received_events) == 2, timeout=5) + assert success, "Timeout waiting for all train events" assert len(received_events) == 2 assert isinstance(received_events[0], CrewTrainStartedEvent) assert isinstance(received_events[1], CrewTrainCompletedEvent) +@pytest.mark.vcr(filter_headers=["authorization"]) def test_crew_train_error(researcher, writer): task = Task( description="Come up with a list of 5 interesting ideas to explore for an article", @@ -3277,6 +3199,7 @@ def test_replay_with_context(): assert crew.tasks[1].context[0].output.raw == "context raw output" +@pytest.mark.vcr(filter_headers=["authorization"]) def test_replay_with_context_set_to_nullable(): agent = Agent(role="test_agent", backstory="Test Description", goal="Test Goal") task1 = Task( @@ -3716,10 +3639,8 @@ def test_conditional_should_execute(researcher, writer): assert mock_execute_sync.call_count == 2 -@mock.patch("crewai.crew.CrewEvaluator") -@mock.patch("crewai.crew.Crew.copy") -@mock.patch("crewai.crew.Crew.kickoff") -def test_crew_testing_function(kickoff_mock, copy_mock, crew_evaluator, researcher): +@pytest.mark.vcr(filter_headers=["authorization"]) +def test_crew_testing_function(researcher): task = Task( 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.", @@ -3731,48 +3652,32 @@ def test_crew_testing_function(kickoff_mock, copy_mock, crew_evaluator, research tasks=[task], ) - # Create a mock for the copied crew - copy_mock.return_value = crew - n_iterations = 2 llm_instance = LLM("gpt-4o-mini") received_events = [] - lock = threading.Lock() - all_events_received = threading.Event() + condition = threading.Condition() @crewai_event_bus.on(CrewTestStartedEvent) def on_crew_test_started(source, event: CrewTestStartedEvent): - with lock: + with condition: received_events.append(event) if len(received_events) == 2: - all_events_received.set() + condition.notify() @crewai_event_bus.on(CrewTestCompletedEvent) def on_crew_test_completed(source, event: CrewTestCompletedEvent): - with lock: + with condition: received_events.append(event) if len(received_events) == 2: - all_events_received.set() + condition.notify() crew.test(n_iterations, llm_instance, inputs={"topic": "AI"}) - assert all_events_received.wait(timeout=5), "Timeout waiting for all test events" - - # Ensure kickoff is called on the copied crew - kickoff_mock.assert_has_calls( - [mock.call(inputs={"topic": "AI"}), mock.call(inputs={"topic": "AI"})] - ) - - crew_evaluator.assert_has_calls( - [ - mock.call(crew, llm_instance), - mock.call().set_iteration(1), - mock.call().set_iteration(2), - mock.call().print_crew_evaluation_result(), - ] - ) + with condition: + success = condition.wait_for(lambda: len(received_events) == 2, timeout=5) + assert success, "Timeout waiting for all test events" assert len(received_events) == 2 assert isinstance(received_events[0], CrewTestStartedEvent) assert isinstance(received_events[1], CrewTestCompletedEvent) @@ -3843,15 +3748,11 @@ def test_fetch_inputs(): ) +@pytest.mark.vcr(filter_headers=["authorization"]) def test_task_tools_preserve_code_execution_tools(): """ Test that task tools don't override code execution tools when allow_code_execution=True """ - from crewai_tools import CodeInterpreterTool - from pydantic import BaseModel, Field - - from crewai.tools import BaseTool - class TestToolInput(BaseModel): """Input schema for TestTool.""" @@ -3865,23 +3766,25 @@ def test_task_tools_preserve_code_execution_tools(): def _run(self, query: str) -> str: return f"Processed: {query}" - # Create a programmer agent with code execution enabled - programmer = Agent( - role="Programmer", - goal="Write code to solve problems.", - backstory="You're a programmer who loves to solve problems with code.", - allow_delegation=True, - allow_code_execution=True, - ) + # Mock Docker validation for the entire test + with patch.object(Agent, "_validate_docker_installation"): + # Create a programmer agent with code execution enabled + programmer = Agent( + role="Programmer", + goal="Write code to solve problems.", + backstory="You're a programmer who loves to solve problems with code.", + allow_delegation=True, + allow_code_execution=True, + ) - # Create a code reviewer agent - reviewer = Agent( - role="Code Reviewer", - goal="Review code for bugs and improvements", - backstory="You're an experienced code reviewer who ensures code quality and best practices.", - allow_delegation=True, - allow_code_execution=True, - ) + # Create a code reviewer agent + reviewer = Agent( + role="Code Reviewer", + goal="Review code for bugs and improvements", + backstory="You're an experienced code reviewer who ensures code quality and best practices.", + allow_delegation=True, + allow_code_execution=True, + ) # Create a task with its own tools task = Task( @@ -3932,8 +3835,6 @@ def test_multimodal_flag_adds_multimodal_tools(): """ Test that an agent with multimodal=True automatically has multimodal tools added to the task execution. """ - from crewai.tools.agent_tools.add_image_tool import AddImageTool - # Create an agent that supports multimodal multimodal_agent = Agent( role="Multimodal Analyst", @@ -4247,13 +4148,8 @@ def test_crew_guardrail_feedback_in_context(): @pytest.mark.vcr(filter_headers=["authorization"]) def test_before_kickoff_callback(): - from crewai.project import CrewBase - @CrewBase class TestCrewClass: - from crewai.agents.agent_builder.base_agent import BaseAgent - from crewai.project import CrewBase, agent, before_kickoff, crew, task - agents: list[BaseAgent] tasks: list[Task] @@ -4309,12 +4205,8 @@ def test_before_kickoff_callback(): @pytest.mark.vcr(filter_headers=["authorization"]) def test_before_kickoff_without_inputs(): - from crewai.project import CrewBase, agent, before_kickoff, task - @CrewBase class TestCrewClass: - from crewai.project import crew - agents_config = None tasks_config = None @@ -4518,6 +4410,7 @@ def test_sets_parent_flow_when_outside_flow(researcher, writer): assert crew.parent_flow is None +@pytest.mark.vcr(filter_headers=["authorization"]) def test_sets_parent_flow_when_inside_flow(researcher, writer): class MyFlow(Flow): @start()