- Re-introduction of EveAIAsset - Make translation services resistent for situation with and without current_event defined. - Ensure first question is asked in eveai_chat_client - Start of version 1.4.0 of TRAICIE_SELECTION_SPECIALIST
33 lines
1.1 KiB
Markdown
33 lines
1.1 KiB
Markdown
# CrewAI Specialist Implementation Guide
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## Name Sensitivity
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A lot of the required functionality to implement specialists has been automated. This automation is based on naming
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conventions. So ... names of variables, attributes, ... needs to be precise, or you'll get problems.
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## Base Class: CrewAIBaseSpecialistExecutor
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Inherit your SpecialistExecutor class from the base class CrewAIBaseSpecialistExecutor
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### Conventions
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- tasks are referenced by using the lower case name of the configured task
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- agents idem dito
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### Specialise the __init__ method
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- Define the crews you want to use in your specialist implementation
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- Do other initialisations you require
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- Call super
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### Type and Typeversion properties
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- Adapt the type and type_version properties to define the correct specialist. This refers to the actual specialist configuration!
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### Implement _config_task_agents
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This method links the tasks to the agents that will perform LLM interactions. You can call the method _add_task_agent
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to link both.
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### Implement _config_pydantic_outputs
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This method links the tasks to their pydantic outputs, and their name in the state class.
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