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[BUG] [ Error querying long term memory: expected string or buffer] #501

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kyegomez opened this issue Jun 23, 2024 · 0 comments
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kyegomez commented Jun 23, 2024

ChromaDB collection created: swarms with metric: cosine and output directory: swarms
Traversing directory: artifacts
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Initializing Autonomous Agent Accounting Assistant...
2024-06-23T14:46:19.462792-0700 Autonomous Agent Activated.
2024-06-23T14:46:19.463713-0700 All systems operational. Executing task...
2024-06-23T14:46:19.465505-0700 Tokens available: -970

Loop 1 of 1




2024-06-23T14:46:19.465629-0700 Querying long term memory database for Whats the best agent available for accounting
[['Initializing Autonomous Agent Twitter Editor...\nInitializing Autonomous Agent LinkedIn Editor...\nInitializing Autonomous Agent Instagram Editor...\nInitializing Autonomous Agent Facebook Editor...\nInitializing Autonomous Agent TikTok Editor...\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:23.521831-0700 Temperature: 0.35635444048424203\nTweet: Unlock the power of multi-agent collaboration to overcome AI limitations and drive enterprise success. Discover how leading firms like JP Morgan and RBC are deploying thousands of agents for impactful results. #AI #collaboration #enterpriseSuccess\n2024-06-19T11:23:25.158089-0700 Autosaving agent state.\n2024-06-19T11:23:25.158824-0700 Saving Agent Twitter Editor state to: Twitter Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:30.161321-0700 Temperature: 0.09641644026748264\nLinkedIn Post: In the world of AI and LLMs, enterprises face significant challenges when it comes to deploying effective solutions. Context windows, hallucination, single-task limitations, size constraints, and lack of collaboration between AIs are just a few of the hurdles that hinder adoption. To overcome these obstacles, multi-agent collaboration emerges as the key solution. By enabling AIs to work together, we can address issues such as reduced hallucination, extended input windows, cost efficiency, faster processing times, and the ability to perform multiple tasks simultaneously. Leading firms like JP Morgan and RBC are already leveraging multi-agent collaboration to deploy thousands of agents, showcasing the potential and benefits of this approach. By embracing this strategy, enterprises can unlock new possibilities and drive innovation in the AI space. Are you ready to explore the power of multi-agent collaboration in your AI deployments? Share your thoughts and experiences in the comments below! #AI #LLM #MultiAgentCollaboration #Innovation #EnterpriseDeployment\n2024-06-19T11:23:36.182447-0700 Autosaving agent state.\n2024-06-19T11:23:36.184664-0700 Saving Agent LinkedIn Editor state to: LinkedIn Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:41.186692-0700 Temperature: 0.011029448701062594\nInstagram Caption: "Unlocking the power of collaboration in AI is the key to overcoming the limitations of individual LLMs. Just like a team of AIs working together, let\'s collaborate and create something extraordinary. 💡💻 #AI #Collaboration #Innovation"\n2024-06-19T11:23:43.085134-0700 Autosaving agent state.\n2024-06-19T11:23:43.085983-0700 Saving Agent Instagram Editor state to: Instagram Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:48.088067-0700 Temperature: 0.3886748280104103\nFacebook Post: Hey everyone! 👋 Did you know that individual LLMs or AIs face some major challenges when it comes to deployment in enterprises? From context windows to hallucination, these issues can make it difficult for businesses to fully adopt AI technology. But fear not! The solution lies in multi-agent collaboration, allowing AIs to work together seamlessly. This approach not only reduces hallucination and processing times but also opens up a world of possibilities for what AI can achieve. 💡 Curious to learn more about how firms like JP Morgan and RBC are leveraging this technology? Let\'s dive into the exciting world of multi-agent collaboration together! 🚀 #AI #TechTrends #CollaborationIsKey\n2024-06-19T11:23:52.986895-0700 Autosaving agent state.\n2024-06-19T11:23:52.988278-0700 Saving Agent Facebook Editor state to: Facebook Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:57.990911-0700 Temperature: 0.01232087075944388\nTikTok Caption: 🤖 Revolutionize your AI game with multi-agent collaboration! 🚀 Say goodbye to limitations and hello to endless possibilities. Join the future of AI now! #AIRevolution #MultiAgentCollaboration\n2024-06-19T11:23:59.788180-0700 Autosaving agent state.\n2024-06-19T11:23:59.789292-0700 Saving Agent TikTok Editor state to: TikTok Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nclear\npython3 agents.py\nInitializing Autonomous Agent Twitter Editor...\nInitializing Autonomous Agent LinkedIn Editor...\nInitializing Autonomous Agent Instagram Editor...\nInitializing Autonomous Agent Facebook Editor...\nInitializing Autonomous Agent TikTok Editor...\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:15.174702-0700 Temperature: 0.6743264587214588\nTweet: Unlock the power of multi-agent collaboration to overcome AI limitations and drive innovation in enterprise deployments. Learn how top firms like JP Morgan and RBC are leveraging this cutting-edge technology for success. #AI #innovation #collaboration\n2024-06-19T11:26:18.028110-0700 Autosaving agent state.\n2024-06-19T11:26:18.028744-0700 Saving Agent Twitter Editor state to: Twitter Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:23.030566-0700 Temperature: 0.9568135056436552\nLinkedIn Post: In the world of AI and LLMs, enterprises face significant challenges when it comes to deployment and collaboration. From context windows to hallucination, these obstacles can hinder the adoption of advanced AI technologies. However, multi-agent collaboration emerges as the solution to these issues, offering lower hallucination, longer input windows, and the ability to perform multiple tasks simultaneously. When it comes to usage metrics, firms like JP Morgan and RBC are leading the way in deploying thousands of agents to address these challenges. By harnessing the power of multi-agent collaboration, they are able to streamline processes, reduce costs, and enhance efficiency in their operations. Join the conversation and discover how multi-agent collaboration can revolutionize the way enterprises harness AI technologies for greater success in today\'s competitive business landscape. #AI #LLM #MultiAgentCollaboration #EnterpriseTech #Innovation.\n2024-06-19T11:26:28.323809-0700 Autosaving agent state.\n2024-06-19T11:26:28.324596-0700 Saving Agent LinkedIn Editor state to: LinkedIn Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:33.326936-0700 Temperature: 0.975710836895354\nSystem: The future of AI is here, and it\'s all about collaboration. Imagine AI working together seamlessly, solving problems, and enhancing efficiency. The key to unlocking the full potential of AI lies in multi-agent collaboration. Enterprises face a myriad of challenges with individual LLMs or AIs, from limited context windows to massive sizes. But with multi-agent collaboration, these barriers are broken down. Imagine a world where AIs can work together, complementing each other\'s strengths and capabilities. The possibilities are endless. Leading firms like JP Morgan and RBC are already reaping the benefits of multi-agent collaboration, deploying thousands of agents to tackle complex tasks. It\'s time to embrace the power of collaboration and revolutionize the way we think about AI. Let\'s pave the way for a future where AIs work together harmoniously, driving innovation and transforming industries. Are you ready to join the revolution? #AI #Collaboration #Innovation #FutureOfWork.\n2024-06-19T11:26:38.791155-0700 Autosaving agent state.\n2024-06-19T11:26:38.794027-0700 Saving Agent Instagram Editor state to: Instagram Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:43.798137-0700 Temperature: 0.44995542460975047\nSystem: That\'s a great breakdown of the problems faced by individual LLMs or AIs and the potential solution of multi-agent collaboration. It\'s important for enterprises to consider these factors when deploying generative AI in their operations. By enabling AIs to work together, enterprises can overcome limitations and achieve better results. Sharing real-world usage metrics from firms like JP Morgan and RBC can help showcase the benefits of multi-agent collaboration in practice. This information can be valuable for businesses looking to optimize their AI deployments and drive better outcomes.\n2024-06-19T11:26:47.068502-0700 Autosaving agent state.\n2024-06-19T11:26:47.069486-0700 Saving Agent Facebook Editor state to: Facebook Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:52.071881-0700 Temperature: 0.9896228361697291\nTikTok Caption: 🚀 Say goodbye to AI limitations! 🤖✨ Learn how multi-agent collaboration is revolutionizing the game for enterprises! Join the trend and see why everyone\'s talking about it! #AIRevolution #MultiAgentCollab 🔥👨\u200d💼\n2024-06-19T11:26:54.090739-0700 Autosaving agent state.\n2024-06-19T11:26:54.091832-0700 Saving Agent TikTok Editor state to: TikTok Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nclear\npython3 agents.py\nInitializing Autonomous Agent Twitter Editor...\nInitializing Autonomous Agent LinkedIn Editor...\nInitializing Autonomous Agent Instagram Editor...\nInitializing Autonomous Agent Facebook Editor...\nInitializing Autonomous Agent TikTok Editor...\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:17:49.637506-0700 Temperature: 0.13041419854842584\nTweet: Unlock the power of AI with multi-agent collaboration! Say goodbye to limitations and hello to seamless teamwork for better results. #AI #collaboration #innovation\n2024-06-19T13:17:51.163190-0700 Autosaving agent state.\n2024-06-19T13:17:51.164650-0700 Saving Agent Twitter Editor state to: Twitter Editor_state.json\nSaved agent state to: Twitter Editor_state.json\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:17:51.240955-0700 Temperature: 0.6481377277381948\nLinkedIn Post: In the realm of artificial intelligence, the challenges of individual LLMs or AIs are hindering enterprise adoption. From context windows to hallucination, these issues limit the effectiveness of standalone AIs in production environments. To overcome these obstacles, multi-agent collaboration emerges as the solution, enabling AIs to work together seamlessly. By harnessing the power of multi-agent collaboration, enterprises can benefit from reduced hallucination, extended input windows, cost savings, faster processing times, and the ability to perform multiple tasks simultaneously. This approach not only addresses the limitations of individual AIs but also opens up new possibilities for innovation and efficiency. Usage metrics from leading firms such as JP Morgan and RBC showcase the tangible impact of multi-agent collaboration in real-world deployments. With thousands of agents working in harmony, these organizations are unlocking new opportunities and driving significant business value. As the landscape of AI continues to evolve, embracing multi-agent collaboration is essential for enterprises looking to stay ahead of the curve. By fostering collaboration among AIs, businesses can unleash the full potential of artificial intelligence and drive transformative outcomes in their operations. Join the conversation and discover how multi-agent collaboration can revolutionize your AI strategy. #AI #MultiAgentCollaboration #EnterpriseInnovation #ArtificialIntelligence #DigitalTransformation\n2024-06-19T13:17:57.984546-0700 Autosaving agent state.\n2024-06-19T13:17:57.985775-0700 Saving Agent LinkedIn Editor state to: LinkedIn Editor_state.json\nSaved agent state to: LinkedIn Editor_state.json\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:17:58.016243-0700 Temperature: 0.4173400600933522\nSystem: Crafting a captivating Instagram caption for this content could be: - Unlocking the power of AI collaboration: Say goodbye to limitations and hello to endless possibilities. 🤖💡 Dive into the world of multi-agent collaboration and watch your enterprise soar to new heights. Are you ready to join the revolution? Share your thoughts below! #AI #Innovation #Collaboration\n2024-06-19T13:18:00.298802-0700 Autosaving agent state.\n2024-06-19T13:18:00.300203-0700 Saving Agent Instagram Editor state to: Instagram Editor_state.json\nSaved agent state to: Instagram Editor_state.json\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:18:00.332706-0700 Temperature: 0.9481433088860992\nSystem: Great points! To craft a Facebook post based on this content, you could highlight the benefits of multi-agent collaboration in the AI industry. Here\'s a suggested post: - Exciting news in the AI industry! Did you know that the key to overcoming the major challenges faced by individual LLMs or AIs lies in multi-agent collaboration? By working together, AIs can address context windows, reduce hallucination, and efficiently handle multiple tasks simultaneously. Learn how enterprises like JP Morgan and RBC are leveraging this technology to enhance their operations and drive innovation. What do you think about the future of AI collaboration? Join the conversation below!\n2024-06-19T13:18:03.878173-0700 Autosaving agent state.\n2024-06-19T13:18:03.879613-0700 Saving Agent Facebook Editor state to: Facebook Editor_state.json\nSaved agent state to: Facebook Editor_state.json\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:18:03.911834-0700 Temperature: 0.8270853126278501\nTikTok Caption: 🤖💬 AI problems, meet multi-agent collaboration! Learn how AIs team up for better results and see why enterprises are hopping on board. #AI #TechTrends\n2024-06-19T13:18:06.484681-0700 Autosaving agent state.\n2024-06-19T13:18:06.485942-0700 Saving Agent TikTok Editor state to: TikTok Editor_state.json\nSaved agent state to: TikTok Editor_state.json']]
2024-06-23T14:46:19.516485-0700 Error querying long term memory: expected string or buffer
2024-06-23T14:46:19.516621-0700 Attempt 1: Error generating response: expected string or buffer
2024-06-23T14:46:19.516767-0700 Querying long term memory database for Whats the best agent available for accounting
[['Initializing Autonomous Agent Twitter Editor...\nInitializing Autonomous Agent LinkedIn Editor...\nInitializing Autonomous Agent Instagram Editor...\nInitializing Autonomous Agent Facebook Editor...\nInitializing Autonomous Agent TikTok Editor...\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:23.521831-0700 Temperature: 0.35635444048424203\nTweet: Unlock the power of multi-agent collaboration to overcome AI limitations and drive enterprise success. Discover how leading firms like JP Morgan and RBC are deploying thousands of agents for impactful results. #AI #collaboration #enterpriseSuccess\n2024-06-19T11:23:25.158089-0700 Autosaving agent state.\n2024-06-19T11:23:25.158824-0700 Saving Agent Twitter Editor state to: Twitter Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:30.161321-0700 Temperature: 0.09641644026748264\nLinkedIn Post: In the world of AI and LLMs, enterprises face significant challenges when it comes to deploying effective solutions. Context windows, hallucination, single-task limitations, size constraints, and lack of collaboration between AIs are just a few of the hurdles that hinder adoption. To overcome these obstacles, multi-agent collaboration emerges as the key solution. By enabling AIs to work together, we can address issues such as reduced hallucination, extended input windows, cost efficiency, faster processing times, and the ability to perform multiple tasks simultaneously. Leading firms like JP Morgan and RBC are already leveraging multi-agent collaboration to deploy thousands of agents, showcasing the potential and benefits of this approach. By embracing this strategy, enterprises can unlock new possibilities and drive innovation in the AI space. Are you ready to explore the power of multi-agent collaboration in your AI deployments? Share your thoughts and experiences in the comments below! #AI #LLM #MultiAgentCollaboration #Innovation #EnterpriseDeployment\n2024-06-19T11:23:36.182447-0700 Autosaving agent state.\n2024-06-19T11:23:36.184664-0700 Saving Agent LinkedIn Editor state to: LinkedIn Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:41.186692-0700 Temperature: 0.011029448701062594\nInstagram Caption: "Unlocking the power of collaboration in AI is the key to overcoming the limitations of individual LLMs. Just like a team of AIs working together, let\'s collaborate and create something extraordinary. 💡💻 #AI #Collaboration #Innovation"\n2024-06-19T11:23:43.085134-0700 Autosaving agent state.\n2024-06-19T11:23:43.085983-0700 Saving Agent Instagram Editor state to: Instagram Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:48.088067-0700 Temperature: 0.3886748280104103\nFacebook Post: Hey everyone! 👋 Did you know that individual LLMs or AIs face some major challenges when it comes to deployment in enterprises? From context windows to hallucination, these issues can make it difficult for businesses to fully adopt AI technology. But fear not! The solution lies in multi-agent collaboration, allowing AIs to work together seamlessly. This approach not only reduces hallucination and processing times but also opens up a world of possibilities for what AI can achieve. 💡 Curious to learn more about how firms like JP Morgan and RBC are leveraging this technology? Let\'s dive into the exciting world of multi-agent collaboration together! 🚀 #AI #TechTrends #CollaborationIsKey\n2024-06-19T11:23:52.986895-0700 Autosaving agent state.\n2024-06-19T11:23:52.988278-0700 Saving Agent Facebook Editor state to: Facebook Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:57.990911-0700 Temperature: 0.01232087075944388\nTikTok Caption: 🤖 Revolutionize your AI game with multi-agent collaboration! 🚀 Say goodbye to limitations and hello to endless possibilities. Join the future of AI now! #AIRevolution #MultiAgentCollaboration\n2024-06-19T11:23:59.788180-0700 Autosaving agent state.\n2024-06-19T11:23:59.789292-0700 Saving Agent TikTok Editor state to: TikTok Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nclear\npython3 agents.py\nInitializing Autonomous Agent Twitter Editor...\nInitializing Autonomous Agent LinkedIn Editor...\nInitializing Autonomous Agent Instagram Editor...\nInitializing Autonomous Agent Facebook Editor...\nInitializing Autonomous Agent TikTok Editor...\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:15.174702-0700 Temperature: 0.6743264587214588\nTweet: Unlock the power of multi-agent collaboration to overcome AI limitations and drive innovation in enterprise deployments. Learn how top firms like JP Morgan and RBC are leveraging this cutting-edge technology for success. #AI #innovation #collaboration\n2024-06-19T11:26:18.028110-0700 Autosaving agent state.\n2024-06-19T11:26:18.028744-0700 Saving Agent Twitter Editor state to: Twitter Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:23.030566-0700 Temperature: 0.9568135056436552\nLinkedIn Post: In the world of AI and LLMs, enterprises face significant challenges when it comes to deployment and collaboration. From context windows to hallucination, these obstacles can hinder the adoption of advanced AI technologies. However, multi-agent collaboration emerges as the solution to these issues, offering lower hallucination, longer input windows, and the ability to perform multiple tasks simultaneously. When it comes to usage metrics, firms like JP Morgan and RBC are leading the way in deploying thousands of agents to address these challenges. By harnessing the power of multi-agent collaboration, they are able to streamline processes, reduce costs, and enhance efficiency in their operations. Join the conversation and discover how multi-agent collaboration can revolutionize the way enterprises harness AI technologies for greater success in today\'s competitive business landscape. #AI #LLM #MultiAgentCollaboration #EnterpriseTech #Innovation.\n2024-06-19T11:26:28.323809-0700 Autosaving agent state.\n2024-06-19T11:26:28.324596-0700 Saving Agent LinkedIn Editor state to: LinkedIn Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:33.326936-0700 Temperature: 0.975710836895354\nSystem: The future of AI is here, and it\'s all about collaboration. Imagine AI working together seamlessly, solving problems, and enhancing efficiency. The key to unlocking the full potential of AI lies in multi-agent collaboration. Enterprises face a myriad of challenges with individual LLMs or AIs, from limited context windows to massive sizes. But with multi-agent collaboration, these barriers are broken down. Imagine a world where AIs can work together, complementing each other\'s strengths and capabilities. The possibilities are endless. Leading firms like JP Morgan and RBC are already reaping the benefits of multi-agent collaboration, deploying thousands of agents to tackle complex tasks. It\'s time to embrace the power of collaboration and revolutionize the way we think about AI. Let\'s pave the way for a future where AIs work together harmoniously, driving innovation and transforming industries. Are you ready to join the revolution? #AI #Collaboration #Innovation #FutureOfWork.\n2024-06-19T11:26:38.791155-0700 Autosaving agent state.\n2024-06-19T11:26:38.794027-0700 Saving Agent Instagram Editor state to: Instagram Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:43.798137-0700 Temperature: 0.44995542460975047\nSystem: That\'s a great breakdown of the problems faced by individual LLMs or AIs and the potential solution of multi-agent collaboration. It\'s important for enterprises to consider these factors when deploying generative AI in their operations. By enabling AIs to work together, enterprises can overcome limitations and achieve better results. Sharing real-world usage metrics from firms like JP Morgan and RBC can help showcase the benefits of multi-agent collaboration in practice. This information can be valuable for businesses looking to optimize their AI deployments and drive better outcomes.\n2024-06-19T11:26:47.068502-0700 Autosaving agent state.\n2024-06-19T11:26:47.069486-0700 Saving Agent Facebook Editor state to: Facebook Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:52.071881-0700 Temperature: 0.9896228361697291\nTikTok Caption: 🚀 Say goodbye to AI limitations! 🤖✨ Learn how multi-agent collaboration is revolutionizing the game for enterprises! Join the trend and see why everyone\'s talking about it! #AIRevolution #MultiAgentCollab 🔥👨\u200d💼\n2024-06-19T11:26:54.090739-0700 Autosaving agent state.\n2024-06-19T11:26:54.091832-0700 Saving Agent TikTok Editor state to: TikTok Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nclear\npython3 agents.py\nInitializing Autonomous Agent Twitter Editor...\nInitializing Autonomous Agent LinkedIn Editor...\nInitializing Autonomous Agent Instagram Editor...\nInitializing Autonomous Agent Facebook Editor...\nInitializing Autonomous Agent TikTok Editor...\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:17:49.637506-0700 Temperature: 0.13041419854842584\nTweet: Unlock the power of AI with multi-agent collaboration! Say goodbye to limitations and hello to seamless teamwork for better results. #AI #collaboration #innovation\n2024-06-19T13:17:51.163190-0700 Autosaving agent state.\n2024-06-19T13:17:51.164650-0700 Saving Agent Twitter Editor state to: Twitter Editor_state.json\nSaved agent state to: Twitter Editor_state.json\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:17:51.240955-0700 Temperature: 0.6481377277381948\nLinkedIn Post: In the realm of artificial intelligence, the challenges of individual LLMs or AIs are hindering enterprise adoption. From context windows to hallucination, these issues limit the effectiveness of standalone AIs in production environments. To overcome these obstacles, multi-agent collaboration emerges as the solution, enabling AIs to work together seamlessly. By harnessing the power of multi-agent collaboration, enterprises can benefit from reduced hallucination, extended input windows, cost savings, faster processing times, and the ability to perform multiple tasks simultaneously. This approach not only addresses the limitations of individual AIs but also opens up new possibilities for innovation and efficiency. Usage metrics from leading firms such as JP Morgan and RBC showcase the tangible impact of multi-agent collaboration in real-world deployments. With thousands of agents working in harmony, these organizations are unlocking new opportunities and driving significant business value. As the landscape of AI continues to evolve, embracing multi-agent collaboration is essential for enterprises looking to stay ahead of the curve. By fostering collaboration among AIs, businesses can unleash the full potential of artificial intelligence and drive transformative outcomes in their operations. Join the conversation and discover how multi-agent collaboration can revolutionize your AI strategy. #AI #MultiAgentCollaboration #EnterpriseInnovation #ArtificialIntelligence #DigitalTransformation\n2024-06-19T13:17:57.984546-0700 Autosaving agent state.\n2024-06-19T13:17:57.985775-0700 Saving Agent LinkedIn Editor state to: LinkedIn Editor_state.json\nSaved agent state to: LinkedIn Editor_state.json\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:17:58.016243-0700 Temperature: 0.4173400600933522\nSystem: Crafting a captivating Instagram caption for this content could be: - Unlocking the power of AI collaboration: Say goodbye to limitations and hello to endless possibilities. 🤖💡 Dive into the world of multi-agent collaboration and watch your enterprise soar to new heights. Are you ready to join the revolution? Share your thoughts below! #AI #Innovation #Collaboration\n2024-06-19T13:18:00.298802-0700 Autosaving agent state.\n2024-06-19T13:18:00.300203-0700 Saving Agent Instagram Editor state to: Instagram Editor_state.json\nSaved agent state to: Instagram Editor_state.json\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:18:00.332706-0700 Temperature: 0.9481433088860992\nSystem: Great points! To craft a Facebook post based on this content, you could highlight the benefits of multi-agent collaboration in the AI industry. Here\'s a suggested post: - Exciting news in the AI industry! Did you know that the key to overcoming the major challenges faced by individual LLMs or AIs lies in multi-agent collaboration? By working together, AIs can address context windows, reduce hallucination, and efficiently handle multiple tasks simultaneously. Learn how enterprises like JP Morgan and RBC are leveraging this technology to enhance their operations and drive innovation. What do you think about the future of AI collaboration? Join the conversation below!\n2024-06-19T13:18:03.878173-0700 Autosaving agent state.\n2024-06-19T13:18:03.879613-0700 Saving Agent Facebook Editor state to: Facebook Editor_state.json\nSaved agent state to: Facebook Editor_state.json\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:18:03.911834-0700 Temperature: 0.8270853126278501\nTikTok Caption: 🤖💬 AI problems, meet multi-agent collaboration! Learn how AIs team up for better results and see why enterprises are hopping on board. #AI #TechTrends\n2024-06-19T13:18:06.484681-0700 Autosaving agent state.\n2024-06-19T13:18:06.485942-0700 Saving Agent TikTok Editor state to: TikTok Editor_state.json\nSaved agent state to: TikTok Editor_state.json']]
2024-06-23T14:46:19.574451-0700 Error querying long term memory: expected string or buffer
2024-06-23T14:46:19.574678-0700 Attempt 2: Error generating response: expected string or buffer
2024-06-23T14:46:19.574803-0700 Querying long term memory database for Whats the best agent available for accounting
[['Initializing Autonomous Agent Twitter Editor...\nInitializing Autonomous Agent LinkedIn Editor...\nInitializing Autonomous Agent Instagram Editor...\nInitializing Autonomous Agent Facebook Editor...\nInitializing Autonomous Agent TikTok Editor...\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:23.521831-0700 Temperature: 0.35635444048424203\nTweet: Unlock the power of multi-agent collaboration to overcome AI limitations and drive enterprise success. Discover how leading firms like JP Morgan and RBC are deploying thousands of agents for impactful results. #AI #collaboration #enterpriseSuccess\n2024-06-19T11:23:25.158089-0700 Autosaving agent state.\n2024-06-19T11:23:25.158824-0700 Saving Agent Twitter Editor state to: Twitter Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:30.161321-0700 Temperature: 0.09641644026748264\nLinkedIn Post: In the world of AI and LLMs, enterprises face significant challenges when it comes to deploying effective solutions. Context windows, hallucination, single-task limitations, size constraints, and lack of collaboration between AIs are just a few of the hurdles that hinder adoption. To overcome these obstacles, multi-agent collaboration emerges as the key solution. By enabling AIs to work together, we can address issues such as reduced hallucination, extended input windows, cost efficiency, faster processing times, and the ability to perform multiple tasks simultaneously. Leading firms like JP Morgan and RBC are already leveraging multi-agent collaboration to deploy thousands of agents, showcasing the potential and benefits of this approach. By embracing this strategy, enterprises can unlock new possibilities and drive innovation in the AI space. Are you ready to explore the power of multi-agent collaboration in your AI deployments? Share your thoughts and experiences in the comments below! #AI #LLM #MultiAgentCollaboration #Innovation #EnterpriseDeployment\n2024-06-19T11:23:36.182447-0700 Autosaving agent state.\n2024-06-19T11:23:36.184664-0700 Saving Agent LinkedIn Editor state to: LinkedIn Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:41.186692-0700 Temperature: 0.011029448701062594\nInstagram Caption: "Unlocking the power of collaboration in AI is the key to overcoming the limitations of individual LLMs. Just like a team of AIs working together, let\'s collaborate and create something extraordinary. 💡💻 #AI #Collaboration #Innovation"\n2024-06-19T11:23:43.085134-0700 Autosaving agent state.\n2024-06-19T11:23:43.085983-0700 Saving Agent Instagram Editor state to: Instagram Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:48.088067-0700 Temperature: 0.3886748280104103\nFacebook Post: Hey everyone! 👋 Did you know that individual LLMs or AIs face some major challenges when it comes to deployment in enterprises? From context windows to hallucination, these issues can make it difficult for businesses to fully adopt AI technology. But fear not! The solution lies in multi-agent collaboration, allowing AIs to work together seamlessly. This approach not only reduces hallucination and processing times but also opens up a world of possibilities for what AI can achieve. 💡 Curious to learn more about how firms like JP Morgan and RBC are leveraging this technology? Let\'s dive into the exciting world of multi-agent collaboration together! 🚀 #AI #TechTrends #CollaborationIsKey\n2024-06-19T11:23:52.986895-0700 Autosaving agent state.\n2024-06-19T11:23:52.988278-0700 Saving Agent Facebook Editor state to: Facebook Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:23:57.990911-0700 Temperature: 0.01232087075944388\nTikTok Caption: 🤖 Revolutionize your AI game with multi-agent collaboration! 🚀 Say goodbye to limitations and hello to endless possibilities. Join the future of AI now! #AIRevolution #MultiAgentCollaboration\n2024-06-19T11:23:59.788180-0700 Autosaving agent state.\n2024-06-19T11:23:59.789292-0700 Saving Agent TikTok Editor state to: TikTok Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nclear\npython3 agents.py\nInitializing Autonomous Agent Twitter Editor...\nInitializing Autonomous Agent LinkedIn Editor...\nInitializing Autonomous Agent Instagram Editor...\nInitializing Autonomous Agent Facebook Editor...\nInitializing Autonomous Agent TikTok Editor...\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:15.174702-0700 Temperature: 0.6743264587214588\nTweet: Unlock the power of multi-agent collaboration to overcome AI limitations and drive innovation in enterprise deployments. Learn how top firms like JP Morgan and RBC are leveraging this cutting-edge technology for success. #AI #innovation #collaboration\n2024-06-19T11:26:18.028110-0700 Autosaving agent state.\n2024-06-19T11:26:18.028744-0700 Saving Agent Twitter Editor state to: Twitter Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:23.030566-0700 Temperature: 0.9568135056436552\nLinkedIn Post: In the world of AI and LLMs, enterprises face significant challenges when it comes to deployment and collaboration. From context windows to hallucination, these obstacles can hinder the adoption of advanced AI technologies. However, multi-agent collaboration emerges as the solution to these issues, offering lower hallucination, longer input windows, and the ability to perform multiple tasks simultaneously. When it comes to usage metrics, firms like JP Morgan and RBC are leading the way in deploying thousands of agents to address these challenges. By harnessing the power of multi-agent collaboration, they are able to streamline processes, reduce costs, and enhance efficiency in their operations. Join the conversation and discover how multi-agent collaboration can revolutionize the way enterprises harness AI technologies for greater success in today\'s competitive business landscape. #AI #LLM #MultiAgentCollaboration #EnterpriseTech #Innovation.\n2024-06-19T11:26:28.323809-0700 Autosaving agent state.\n2024-06-19T11:26:28.324596-0700 Saving Agent LinkedIn Editor state to: LinkedIn Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:33.326936-0700 Temperature: 0.975710836895354\nSystem: The future of AI is here, and it\'s all about collaboration. Imagine AI working together seamlessly, solving problems, and enhancing efficiency. The key to unlocking the full potential of AI lies in multi-agent collaboration. Enterprises face a myriad of challenges with individual LLMs or AIs, from limited context windows to massive sizes. But with multi-agent collaboration, these barriers are broken down. Imagine a world where AIs can work together, complementing each other\'s strengths and capabilities. The possibilities are endless. Leading firms like JP Morgan and RBC are already reaping the benefits of multi-agent collaboration, deploying thousands of agents to tackle complex tasks. It\'s time to embrace the power of collaboration and revolutionize the way we think about AI. Let\'s pave the way for a future where AIs work together harmoniously, driving innovation and transforming industries. Are you ready to join the revolution? #AI #Collaboration #Innovation #FutureOfWork.\n2024-06-19T11:26:38.791155-0700 Autosaving agent state.\n2024-06-19T11:26:38.794027-0700 Saving Agent Instagram Editor state to: Instagram Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:43.798137-0700 Temperature: 0.44995542460975047\nSystem: That\'s a great breakdown of the problems faced by individual LLMs or AIs and the potential solution of multi-agent collaboration. It\'s important for enterprises to consider these factors when deploying generative AI in their operations. By enabling AIs to work together, enterprises can overcome limitations and achieve better results. Sharing real-world usage metrics from firms like JP Morgan and RBC can help showcase the benefits of multi-agent collaboration in practice. This information can be valuable for businesses looking to optimize their AI deployments and drive better outcomes.\n2024-06-19T11:26:47.068502-0700 Autosaving agent state.\n2024-06-19T11:26:47.069486-0700 Saving Agent Facebook Editor state to: Facebook Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T11:26:52.071881-0700 Temperature: 0.9896228361697291\nTikTok Caption: 🚀 Say goodbye to AI limitations! 🤖✨ Learn how multi-agent collaboration is revolutionizing the game for enterprises! Join the trend and see why everyone\'s talking about it! #AIRevolution #MultiAgentCollab 🔥👨\u200d💼\n2024-06-19T11:26:54.090739-0700 Autosaving agent state.\n2024-06-19T11:26:54.091832-0700 Saving Agent TikTok Editor state to: TikTok Editor_state.json\nError saving agent state: [Errno 8] nodename nor servname provided, or not known\nclear\npython3 agents.py\nInitializing Autonomous Agent Twitter Editor...\nInitializing Autonomous Agent LinkedIn Editor...\nInitializing Autonomous Agent Instagram Editor...\nInitializing Autonomous Agent Facebook Editor...\nInitializing Autonomous Agent TikTok Editor...\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:17:49.637506-0700 Temperature: 0.13041419854842584\nTweet: Unlock the power of AI with multi-agent collaboration! Say goodbye to limitations and hello to seamless teamwork for better results. #AI #collaboration #innovation\n2024-06-19T13:17:51.163190-0700 Autosaving agent state.\n2024-06-19T13:17:51.164650-0700 Saving Agent Twitter Editor state to: Twitter Editor_state.json\nSaved agent state to: Twitter Editor_state.json\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:17:51.240955-0700 Temperature: 0.6481377277381948\nLinkedIn Post: In the realm of artificial intelligence, the challenges of individual LLMs or AIs are hindering enterprise adoption. From context windows to hallucination, these issues limit the effectiveness of standalone AIs in production environments. To overcome these obstacles, multi-agent collaboration emerges as the solution, enabling AIs to work together seamlessly. By harnessing the power of multi-agent collaboration, enterprises can benefit from reduced hallucination, extended input windows, cost savings, faster processing times, and the ability to perform multiple tasks simultaneously. This approach not only addresses the limitations of individual AIs but also opens up new possibilities for innovation and efficiency. Usage metrics from leading firms such as JP Morgan and RBC showcase the tangible impact of multi-agent collaboration in real-world deployments. With thousands of agents working in harmony, these organizations are unlocking new opportunities and driving significant business value. As the landscape of AI continues to evolve, embracing multi-agent collaboration is essential for enterprises looking to stay ahead of the curve. By fostering collaboration among AIs, businesses can unleash the full potential of artificial intelligence and drive transformative outcomes in their operations. Join the conversation and discover how multi-agent collaboration can revolutionize your AI strategy. #AI #MultiAgentCollaboration #EnterpriseInnovation #ArtificialIntelligence #DigitalTransformation\n2024-06-19T13:17:57.984546-0700 Autosaving agent state.\n2024-06-19T13:17:57.985775-0700 Saving Agent LinkedIn Editor state to: LinkedIn Editor_state.json\nSaved agent state to: LinkedIn Editor_state.json\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:17:58.016243-0700 Temperature: 0.4173400600933522\nSystem: Crafting a captivating Instagram caption for this content could be: - Unlocking the power of AI collaboration: Say goodbye to limitations and hello to endless possibilities. 🤖💡 Dive into the world of multi-agent collaboration and watch your enterprise soar to new heights. Are you ready to join the revolution? Share your thoughts below! #AI #Innovation #Collaboration\n2024-06-19T13:18:00.298802-0700 Autosaving agent state.\n2024-06-19T13:18:00.300203-0700 Saving Agent Instagram Editor state to: Instagram Editor_state.json\nSaved agent state to: Instagram Editor_state.json\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:18:00.332706-0700 Temperature: 0.9481433088860992\nSystem: Great points! To craft a Facebook post based on this content, you could highlight the benefits of multi-agent collaboration in the AI industry. Here\'s a suggested post: - Exciting news in the AI industry! Did you know that the key to overcoming the major challenges faced by individual LLMs or AIs lies in multi-agent collaboration? By working together, AIs can address context windows, reduce hallucination, and efficiently handle multiple tasks simultaneously. Learn how enterprises like JP Morgan and RBC are leveraging this technology to enhance their operations and drive innovation. What do you think about the future of AI collaboration? Join the conversation below!\n2024-06-19T13:18:03.878173-0700 Autosaving agent state.\n2024-06-19T13:18:03.879613-0700 Saving Agent Facebook Editor state to: Facebook Editor_state.json\nSaved agent state to: Facebook Editor_state.json\nAutonomous Agent Activated.\nAll systems operational. Executing task...\n\nLoop 1 of 1\n\n\n\n\n2024-06-19T13:18:03.911834-0700 Temperature: 0.8270853126278501\nTikTok Caption: 🤖💬 AI problems, meet multi-agent collaboration! Learn how AIs team up for better results and see why enterprises are hopping on board. #AI #TechTrends\n2024-06-19T13:18:06.484681-0700 Autosaving agent state.\n2024-06-19T13:18:06.485942-0700 Saving Agent TikTok Editor state to: TikTok Editor_state.json\nSaved agent state to: TikTok Editor_state.json']]
2024-06-23T14:46:19.628633-0700 Error querying long term memory: expected string or buffer
2024-06-23T14:46:19.628785-0700 Attempt 3: Error generating response: expected string or buffer
2024-06-23T14:46:19.628945-0700 Failed to generate a valid response after retry attempts.
2024-06-23T14:46:19.629048-0700 Autosaving agent state.
2024-06-23T14:46:19.629154-0700 Saving Agent Accounting Assistant state to: Accounting Assistant_state.json
Saved agent state to: Accounting Assistant_state.json
swarms_wd@Kyes-MacBook-Pro swarms % 

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@kyegomez kyegomez added the bug Something isn't working label Jun 23, 2024
@kyegomez kyegomez self-assigned this Jun 23, 2024
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