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* removed hyphen in co-workers * Fix issue with AgentTool agent selection. The LLM included double quotes in the agent name which messed up the string comparison. Added additional types. Cleaned up error messaging. * Remove duplicate import * Improve explanation * Revert poetry.lock changes * Fix missing line in poetry.lock --------- Co-authored-by: madmag77 <goncharov.artemv@gmail.com>
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@@ -57,20 +57,20 @@ interactions:
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allows you to properly evaluate the work of your team members.\nYour personal
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goal is: Manage the team to complete the task in the best way possible.\n\nYou
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ONLY have access to the following tools, and should NEVER make up tools that
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are not listed here:\n\nDelegate work to co-worker: Delegate work to co-worker(coworker:
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are not listed here:\n\nDelegate work to coworker: Delegate work to coworker(coworker:
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str, task: str, context: str) - Delegate a specific task to one of the following
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co-workers: [''Scorer'']\nThe input to this tool should be the coworker, the
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coworkers: [''Scorer'']\nThe input to this tool should be the coworker, the
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task you want them to do, and ALL necessary context to execute the task, they
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know nothing about the task, so share absolute everything you know, don''t reference
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things but instead explain them.\nAsk question to co-worker: Ask question to
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co-worker(coworker: str, question: str, context: str) - Ask a specific question
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to one of the following co-workers: [''Scorer'']\nThe input to this tool should
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things but instead explain them.\nAsk question to coworker: Ask question to
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coworker(coworker: str, question: str, context: str) - Ask a specific question
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to one of the following coworkers: [''Scorer'']\nThe input to this tool should
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be the coworker, the question you have for them, and ALL necessary context to
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ask the question properly, they know nothing about the question, so share absolute
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everything you know, don''t reference things but instead explain them.\n\nUse
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the following format:\n\nThought: you should always think about what to do\nAction:
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the action to take, only one name of [Delegate work to co-worker, Ask question
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to co-worker], just the name, exactly as it''s written.\nAction Input: the input
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the action to take, only one name of [Delegate work to coworker, Ask question
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to coworker], just the name, exactly as it''s written.\nAction Input: the input
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to the action, just a simple a python dictionary using \" to wrap keys and values.\nObservation:
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the result of the action\n\nOnce all necessary information is gathered:\n\nThought:
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I now know the final answer\nFinal Answer: the final answer to the original
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@@ -3197,20 +3197,20 @@ interactions:
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allows you to properly evaluate the work of your team members.\nYour personal
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goal is: Manage the team to complete the task in the best way possible.\n\nYou
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ONLY have access to the following tools, and should NEVER make up tools that
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are not listed here:\n\nDelegate work to co-worker: Delegate work to co-worker(coworker:
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are not listed here:\n\nDelegate work to coworker: Delegate work to coworker(coworker:
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str, task: str, context: str) - Delegate a specific task to one of the following
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co-workers: [''Scorer'']\nThe input to this tool should be the coworker, the
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coworkers: [''Scorer'']\nThe input to this tool should be the coworker, the
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task you want them to do, and ALL necessary context to execute the task, they
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know nothing about the task, so share absolute everything you know, don''t reference
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things but instead explain them.\nAsk question to co-worker: Ask question to
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co-worker(coworker: str, question: str, context: str) - Ask a specific question
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to one of the following co-workers: [''Scorer'']\nThe input to this tool should
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things but instead explain them.\nAsk question to coworker: Ask question to
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coworker(coworker: str, question: str, context: str) - Ask a specific question
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to one of the following coworkers: [''Scorer'']\nThe input to this tool should
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be the coworker, the question you have for them, and ALL necessary context to
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ask the question properly, they know nothing about the question, so share absolute
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everything you know, don''t reference things but instead explain them.\n\nUse
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the following format:\n\nThought: you should always think about what to do\nAction:
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the action to take, only one name of [Delegate work to co-worker, Ask question
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to co-worker], just the name, exactly as it''s written.\nAction Input: the input
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the action to take, only one name of [Delegate work to coworker, Ask question
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to coworker], just the name, exactly as it''s written.\nAction Input: the input
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to the action, just a simple a python dictionary using \" to wrap keys and values.\nObservation:
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the result of the action\n\nOnce all necessary information is gathered:\n\nThought:
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I now know the final answer\nFinal Answer: the final answer to the original
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@@ -3225,8 +3225,8 @@ interactions:
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it. Since scoring can be subjective, it''s essential to establish clear criteria
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based on relevance, insightfulness, current interest in the topic, and perhaps
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its specificity or ability to provoke thought. As I don''t have direct guidelines,
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I will need to consult with my co-worker, Scorer, who might have a set of criteria
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or insights on how to approach this task.\n\nAction: Ask question to co-worker\nAction
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I will need to consult with my coworker, Scorer, who might have a set of criteria
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or insights on how to approach this task.\n\nAction: Ask question to coworker\nAction
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Input: {\"coworker\": \"Scorer\", \"question\": \"What criteria should we use
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to evaluate and score the title ''The impact of AI in the future of work''?\",
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\"context\": \"We need to assign a score between 1-5 for the title ''The impact
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