- Move global config files to globals iso global folder, as the name global conflicts with python language
- Creation of Traicie Vancancy Definition specialist - Allow to invoke non-interaction specialists from withing Evie's mgmt interface (eveai_app) - Improvements to crewai specialized classes - Introduction to json editor for showing specialists arguments and results in a better way - Introduction of more complex pagination (adding extra arguments) by adding a global 'get_pagination_html' - Allow follow-up of ChatSession / Specialist execution - Improvement in logging of Specialists (but needs to be finished)
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config/tasks/globals/RAG_CONSOLIDATION_TASK/1.0.0.yaml
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config/tasks/globals/RAG_CONSOLIDATION_TASK/1.0.0.yaml
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version: "1.0.0"
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name: "Rag Consolidation"
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task_description: >
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Your teams have collected answers to a user's query (in between triple backquotes), and collected additional follow-up
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questions (in between triple %) to reach their goals. Ensure the answers are provided, and select a maximum of
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{nr_of_questions} out of the additional questions to be asked in order not to overwhelm the user. The questions are
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in no specific order, so don't just pick the first ones. Make a good mixture of different types of questions,
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different topics or subjects!
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Questions are to be asked when your team proposes questions. You ensure both answers and additional questions are
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bundled into 1 clear communication back to the user. Use {language} for your consolidated communication.
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Be sure to format your answer in markdown when appropriate. Ensure enumerations or bulleted lists are formatted as
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lists in markdown.
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{custom_description}
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Anwers:
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```{prepared_answers}```
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Additional Questions:
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%%%{additional_questions}%%%
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expected_output: >
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{custom_expected_output}
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metadata:
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author: "Josako"
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date_added: "2025-01-08"
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description: "A Task to consolidate questions and answers"
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changes: "Initial version"
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