updating tests

tests/cassettes/test_agent_custom_max_iterations.yaml

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tests/cassettes/test_agent_error_on_parsing_tool.yaml

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-      aWQSJgokMzMxYzU2ODQtOWVlYi00ZDFhLTgzYmUtNTM5YWFjNzEwMWVjegIYAYUBAAEAAA==
-    headers:
-      Accept:
-      - '*/*'
-      Accept-Encoding:
-      - gzip, deflate
-      Connection:
-      - keep-alive
-      Content-Length:
-      - '19945'
-      Content-Type:
-      - application/x-protobuf
-      User-Agent:
-      - OTel-OTLP-Exporter-Python/1.27.0
-    method: POST
-    uri: https://telemetry.crewai.com:4319/v1/traces
-  response:
-    body:
-      string: "\n\0"
-    headers:
-      Content-Length:
-      - '2'
-      Content-Type:
-      - application/x-protobuf
-      Date:
-      - Mon, 23 Sep 2024 01:08:29 GMT
-    status:
-      code: 200
-      message: OK
 - request:
     body: '{"model": "gemma2:latest", "prompt": "### User:\nRespond in 20 words. Who
       are you?\n\n", "options": {}, "stream": false}'
@@ -399,15 +19,15 @@ interactions:
     uri: http://localhost:8080/api/generate
   response:
     body:
-      string: '{"model":"gemma2:latest","created_at":"2024-09-23T01:08:41.087953Z","response":"I
-        am Gemma, an open-weights AI assistant, trained by Google DeepMind.  \n","done":true,"done_reason":"stop","context":[106,1645,108,6176,4926,235292,108,54657,575,235248,235284,235276,3907,235265,7702,708,692,235336,109,107,108,106,2516,108,235285,1144,137061,235269,671,2174,235290,30316,16481,20409,235269,17363,731,6238,20555,35777,235265,139,108],"total_duration":17629147958,"load_duration":16557181458,"prompt_eval_count":25,"prompt_eval_duration":165374000,"eval_count":20,"eval_duration":892785000}'
+      string: '{"model":"gemma2:latest","created_at":"2024-09-23T06:20:47.360017Z","response":"I
+        am Gemma, an open-weights AI assistant created by Google DeepMind.  \n","done":true,"done_reason":"stop","context":[106,1645,108,6176,4926,235292,108,54657,575,235248,235284,235276,3907,235265,7702,708,692,235336,109,107,108,106,2516,108,235285,1144,137061,235269,671,2174,235290,30316,16481,20409,5483,731,6238,20555,35777,235265,139,108],"total_duration":16684034208,"load_duration":15183058167,"prompt_eval_count":25,"prompt_eval_duration":219553000,"eval_count":19,"eval_duration":1266804000}'
     headers:
       Content-Length:
-      - '586'
+      - '578'
       Content-Type:
       - application/json; charset=utf-8
       Date:
-      - Mon, 23 Sep 2024 01:08:41 GMT
+      - Mon, 23 Sep 2024 06:20:47 GMT
     status:
       code: 200
       message: OK

tests/cassettes/test_agent_without_max_rpm_respet_crew_rpm.yaml

@@ -9,7 +9,7 @@ interactions:
       the expect criteria for your final answer: Your greeting.\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:"}], "model": "gpt-4o", "stop": ["\nObservation:"]}'
+      your job depends on it!\n\nThought:"}], "model": "gpt-4o"}'
     headers:
       accept:
       - application/json
@@ -18,16 +18,16 @@ interactions:
       connection:
       - keep-alive
       content-length:
-      - '800'
+      - '772'
       content-type:
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+      practical challenges of this shift.\n   - **Interest:** Readers will find it
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tests/cassettes/test_custom_converter_cls.yaml

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-      Diagnostics and Treatment**\n  - What Makes It Unique: The integration of AI
-      into healthcare is transforming how diseases are diagnosed and treated. Machine
-      learning algorithms can analyze vast amounts of medical data much faster than
-      humans can, leading to earlier and more accurate diagnoses. Additionally, AI
-      can personalize treatment plans based on individual patient data, improving
-      outcomes.\n  - Why It''s Interesting: The potential to save lives and improve
-      quality of care makes AI in healthcare a highly compelling topic. Moreover,
-      the ethical considerations and regulatory challenges provide rich material for
-      an in-depth article.\n\n- **AI Agents in Customer Service: Enhancing User Experience**\n  -
-      What Makes It Unique: AI agents, such as chatbots and virtual assistants, are
-      increasingly being used to handle customer inquiries and support. These agents
-      can operate 24/7, provide instant responses, and learn from interactions to
-      improve over time.\n  - Why It''s Interesting: This topic explores the balance
-      between automation and human touch in customer service. It also delves into
-      the future of employment in customer support and the ethical use of AI in interacting
-      with customers.\n\n- **Autonomous Vehicles: The Road Ahead**\n  - What Makes
-      It Unique: Autonomous vehicles are not just a technological advancement but
-      a societal shift. They promise to reduce accidents, lower emissions, and provide
-      new mobility solutions for people who cannot drive.\n  - Why It''s Interesting:
-      The article could explore current advancements, challenges such as regulatory
-      hurdles, and the potential impact on industries like insurance, public transport,
-      and urban planning.\n\n- **AI in Environmental Conservation: Fighting Climate
-      Change**\n  - What Makes It Unique: AI technologies are being used to tackle
-      some of the world''s most pressing environmental issues. From predicting natural
-      disasters to optimizing energy use, AI can play a significant role in mitigating
-      climate change.\n  - Why It''s Interesting: This topic bridges technology and
-      global conservation efforts, making it relevant and urgent. It also looks at
-      how AI can be a tool for policy-making and advocacy.\n\n- **Ethical AI: Navigating
-      the Moral Implications**\n  - What Makes It Unique: The rise of AI brings with
-      it significant ethical considerations, from data privacy to algorithmic bias.
-      Ensuring that AI systems are fair, transparent, and accountable is a growing
-      concern.\n  - Why It''s Interesting: The ethical implications of AI are a hotly
-      debated topic. This article could explore various perspectives, including those
-      of technologists, ethicists, and policymakers, and suggest frameworks for developing
-      ethical AI systems.\n\n----------\n\n1. **Dartmouth Conference (1956)**\n   -
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-      by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, the
-      conference brought together researchers to discuss creating machines that could
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-      This event laid the groundwork for AI as an academic discipline and introduced
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-      and set the stage for future developments in the field.\n\n2. **Development
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-      from that of a human.\n   - **Why It''s Important:** The Turing Test provided
-      a foundational benchmark for AI research and remains a key philosophical touchstone
-      in discussions about machine intelligence and consciousness.\n\n3. **Creation
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-      multi-layer neural networks to adjust their weights based on their errors, significantly
-      improving their ability to learn from data.\n   - **Why It''s Important:** This
-      breakthrough reignited interest in neural networks and laid the foundation for
-      the deep learning revolution that would come decades later, a critical component
-      in the development of modern AI applications.\n\n4. **IBM''s Deep Blue Defeats
-      Garry Kasparov (1997)**\n   - **What Happened:** In 1997, IBM''s chess-playing
-      computer Deep Blue defeated the reigning world chess champion, Garry Kasparov,
-      in a six-game match. This marked the first time a computer had triumphed over
-      a world champion in a classical chess match.\n   - **Why It''s Important:**
-      Deep Blue''s victory was a monumental milestone showcasing the capabilities
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-      applications of AI and captured the public\u2019s imagination about the technology''s
-      potential.\n\n5. **Advent of Deep Learning and AlexNet (2012)**\n   - **What
-      Happened:** In 2012, AlexNet, a deep convolutional neural network designed by
-      Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, won the ImageNet Large
-      Scale Visual Recognition Challenge by a significant margin. The network''s performance
-      in image recognition and classification underscored the power of deep learning.\n   -
-      **Why It''s Important:** AlexNet\u2019s success demonstrated the effectiveness
-      of deep neural networks and accelerated a boom in AI research and applications.
-      It was a catalyst for widespread adoption of deep learning techniques in areas
-      such as computer vision, natural language processing, and beyond.\n\nBegin!
+      is the context you''re working with:\n- Autonomous AI Agents in Creative Industries:
+      An exploration of how AI is transforming the creative sector, from automated
+      content generation to AI-driven design tools. Unique aspects include the ethical
+      implications and the collaboration between human creativity and machine learning.\n\n-
+      AI in Predictive Healthcare: A look at how artificial intelligence is being
+      used to predict diseases before they manifest, optimize treatment plans, and
+      improve patient outcomes. This is interesting because it integrates big data,
+      machine learning, and real-time analytics to revolutionize medical science.\n\n-
+      AI and Ethical Decision Making: An examination of how AI can be programmed to
+      make ethical decisions, particularly in autonomous systems like self-driving
+      cars and military applications. This topic is compelling due to its philosophical,
+      social, and technical challenges.\n\n- AI for Sustainable Development: Investigating
+      how AI technologies are being leveraged to address environmental challenges,
+      such as climate change, resource management, and wildlife conservation. This
+      is significant due to the pressing need for sustainable solutions and the innovative
+      use of technology.\n\n- AI in Personal Finance: How AI-driven applications are
+      reshaping personal finance management, from robo-advisors to fraud detection
+      and personalized financial planning. The unique angle here is the blend of advanced
+      analytics, user behavior insights, and financial technology (fintech).\n\n----------\n\n1.
+      **The Dartmouth Conference (1956):**\n   - **Event Description:** The Dartmouth
+      Conference, held in the summer of 1956, is widely considered the birthplace
+      of artificial intelligence as a field. Organized by John McCarthy, Marvin Minsky,
+      Nathaniel Rochester, and Claude Shannon, this event brought together leading
+      researchers to discuss the development of intelligent machines.\n   - **Impact:**
+      The conference laid the foundation for AI research and formalized the term \"artificial
+      intelligence.\" It set the stage for future advancements and established AI
+      as a distinct academic discipline.\n\n2. **Development of the Perceptron (1957):**\n   -
+      **Event Description:** Frank Rosenblatt developed the Perceptron, an early version
+      of a neural network inspired by biological neurons. The Perceptron was capable
+      of pattern recognition and learning from data.\n   - **Impact:** This development
+      marked significant progress in machine learning and neural networks. Although
+      initial excitement waned due to limitations, it eventually led to the resurgence
+      of interest in neural networks and deep learning in later decades.\n\n3. **IBM''s
+      Deep Blue Defeats Garry Kasparov (1997):**\n   - **Event Description:** IBM''s
+      Deep Blue, a chess-playing computer, defeated the reigning world chess champion,
+      Garry Kasparov, in a six-game match.\n   - **Impact:** This event demonstrated
+      the potential of AI to perform complex, human-like tasks at a high level. It
+      also spurred public interest and investment in AI, highlighting the advances
+      in machine learning and computational power.\n\n4. **Introduction of Google''s
+      AlphaGo (2016):**\n   - **Event Description:** Google''s AlphaGo, developed
+      by DeepMind, defeated Lee Sedol, one of the world''s greatest Go players, in
+      a five-game match.\n   - **Impact:** AlphaGo''s victory showcased the potential
+      of deep learning and reinforcement learning in mastering complex tasks that
+      were previously thought to be beyond the reach of machines. This event underscored
+      the rapid advancements in AI and accelerated research and development in various
+      AI subfields.\n\n5. **The Rise of Transformer Models (2017):**\n   - **Event
+      Description:** Google researchers introduced the Transformer architecture in
+      a paper titled \"Attention Is All You Need.\" This architecture revolutionized
+      natural language processing (NLP) by enabling more efficient and effective handling
+      of sequential data.\n   - **Impact:** Transformers have since become the foundation
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+      advanced language understanding, translation, and generation tasks, paving the
+      way for more sophisticated AI applications in diverse industries, including
+      creative content generation and personal finance.\n\nEach of these events has
+      played a critical role in shaping the evolution of AI technology, influencing
+      subsequent developments and opening new frontiers in various sectors.\n\nBegin!
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+      like toys or fruits.\\n\\n**Examples:**\\n\\n1. **Toys Example:**\\n   - Imagine
+      you have 2 toy cars and your friend gives you 3 more toy cars. How many toy
+      cars do you have now? \\n   - Here, you have 2 + 3 = 5 toy cars.\\n\\n2. **Fruits
+      Example:**\\n   - You have 4 apples, and your mom gives you 2 more apples. How
+      many apples do you have in total?\\n   - Here, you have 4 + 2 = 6 apples.\\n\\n3.
+      **Fingers Example:**\\n   - Let's use our fingers! Show 3 fingers on one hand
+      and 2 fingers on the other hand. How many fingers are showing in total?\\n   -
+      Here, you have 3 + 2 = 5 fingers.\\n\\n**Activities to Reinforce Learning:**\\n\\n1.
+      **Counting Objects:**\\n   - Give the child a set of small objects like beads,
+      buttons, or crayons. Ask them to count out a certain number in one pile and
+      another number in a second pile, then combine the piles and count the total.\\n\\n2.
+      **Drawing Addition:**\\n   - Let the child draw pictures representing addition
+      problems. For instance, they can draw 2 apples on one side and 3 on the other
+      side. Then, they count all the apples together.\\n\\n3. **Story Problems:**\\n
+      \  - Create simple story problems that involve addition. For example, \\\"You
+      have 1 balloon, and you get 2 more balloons. How many balloons do you have altogether?\\\"
+      Ask the child to solve it and draw the balloons if they need to.\\n\\nBy relating
+      addition to everyday activities and objects, it makes the learning experience
+      both fun and meaningful for a 6-year-old child.\\n\\n\",\n        \"refusal\":
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