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Resolved Merge Conflicts for PR #712: Remove Hyphen in co-workers (#786)

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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>
This commit is contained in:
Brandon Hancock (bhancock_ai)
2024-06-18 15:57:56 -04:00
committed by GitHub
parent ff80f57816
commit 72e20a5dbb
17 changed files with 194 additions and 171 deletions
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30
tests/cassettes/test_crew_with_delegating_agents.yaml
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@@ -83,20 +83,20 @@ interactions:
now working on a new project and want to make sure the content produced is amazing.\nYour
personal goal is: Make sure the writers in your company produce amazing content.\n\nYou
ONLY have access to the following tools, and should NEVER make up tools that
are not listed here:\n\nDelegate work to co-worker: Delegate work to co-worker(coworker:
are not listed here:\n\nDelegate work to coworker: Delegate work to coworker(coworker:
str, task: str, context: str) - Delegate a specific task to one of the following
co-workers: [''Senior Writer'']\nThe input to this tool should be the coworker,
coworkers: [''Senior Writer'']\nThe input to this tool should be the coworker,
the task you want them to do, and ALL necessary context to execute the task,
they know nothing about the task, so share absolute everything you know, don''t
reference things but instead explain them.\nAsk question to co-worker: Ask question
to co-worker(coworker: str, question: str, context: str) - Ask a specific question
to one of the following co-workers: [''Senior Writer'']\nThe input to this tool
reference things but instead explain them.\nAsk question to coworker: Ask question
to coworker(coworker: str, question: str, context: str) - Ask a specific question
to one of the following coworkers: [''Senior Writer'']\nThe input to this tool
should be the coworker, the question you have for them, and ALL necessary context
to ask the question properly, they know nothing about the question, so share
absolute everything you know, don''t reference things but instead explain them.\n\nUse
the following format:\n\nThought: you should always think about what to do\nAction:
the action to take, only one name of [Delegate work to co-worker, Ask question
to co-worker], just the name, exactly as it''s written.\nAction Input: the input
the action to take, only one name of [Delegate work to coworker, Ask question
to coworker], just the name, exactly as it''s written.\nAction Input: the input
to the action, just a simple a python dictionary using \" to wrap keys and values.\nObservation:
the result of the action\n\nOnce all necessary information is gathered:\n\nThought:
I now know the final answer\nFinal Answer: the final answer to the original
@@ -1713,20 +1713,20 @@ interactions:
now working on a new project and want to make sure the content produced is amazing.\nYour
personal goal is: Make sure the writers in your company produce amazing content.\n\nYou
ONLY have access to the following tools, and should NEVER make up tools that
are not listed here:\n\nDelegate work to co-worker: Delegate work to co-worker(coworker:
are not listed here:\n\nDelegate work to coworker: Delegate work to coworker(coworker:
str, task: str, context: str) - Delegate a specific task to one of the following
co-workers: [''Senior Writer'']\nThe input to this tool should be the coworker,
coworkers: [''Senior Writer'']\nThe input to this tool should be the coworker,
the task you want them to do, and ALL necessary context to execute the task,
they know nothing about the task, so share absolute everything you know, don''t
reference things but instead explain them.\nAsk question to co-worker: Ask question
to co-worker(coworker: str, question: str, context: str) - Ask a specific question
to one of the following co-workers: [''Senior Writer'']\nThe input to this tool
reference things but instead explain them.\nAsk question to coworker: Ask question
to coworker(coworker: str, question: str, context: str) - Ask a specific question
to one of the following coworkers: [''Senior Writer'']\nThe input to this tool
should be the coworker, the question you have for them, and ALL necessary context
to ask the question properly, they know nothing about the question, so share
absolute everything you know, don''t reference things but instead explain them.\n\nUse
the following format:\n\nThought: you should always think about what to do\nAction:
the action to take, only one name of [Delegate work to co-worker, Ask question
to co-worker], just the name, exactly as it''s written.\nAction Input: the input
the action to take, only one name of [Delegate work to coworker, Ask question
to coworker], just the name, exactly as it''s written.\nAction Input: the input
to the action, just a simple a python dictionary using \" to wrap keys and values.\nObservation:
the result of the action\n\nOnce all necessary information is gathered:\n\nThought:
I now know the final answer\nFinal Answer: the final answer to the original
@@ -1738,7 +1738,7 @@ interactions:
it!\n\nThought: \nI want to ensure that the Senior Writer understands the topic
and the standard of quality that we aim to achieve. I''ll provide them with
all the information they need to produce an amazing 1 paragraph draft about
AI Agents. \n\nAction: Delegate work to co-worker\nAction Input: {\"coworker\":
AI Agents. \n\nAction: Delegate work to coworker\nAction Input: {\"coworker\":
\"Senior Writer\", \"task\": \"Produce a 1 paragraph draft of an article about
AI Agents.\", \"context\": \"We are working on a new project that requires high-quality
content about AI Agents. We want to make sure that the content is engaging,