v1.5.0

[1.5.0] - 2024-05-27

Changed

• Remove the memory from the basic_agent to simplify the agent API.
• Remove unused add_memory method on the basic_agent to simplify the API.
• Remove interrogation (legacy) API from basic agent.
• Clarify prompts in the all_similar_memories component.
• Add logging to identity component and make its name configurable.
• Add default importance and clock to blank memory factory (previous required).
• Add default importance function to associative memory (previous required).
• Improve the ollama model wrapper and refactor choice sampling for all LLMs.
• Allow the self perception component to have subcomponents.
• The delimiter symbol used to separate generated episodes in the formative
  memories generator is now configurable.
• Add 'name' argument to plan component.

Added

• Add PyTorch Gemma Language Model
• Automatically add log entries corresponding to scene boundaries.
• Add game master components contrib directory to house components contributed
  by users.
• Add game master contrib component: world_background_and_relevance.
• Create agent components contrib directory to house components contributed by
  users.
• Add agent contrib component: affect_reflection.
• Add agent contrib component: illness_representation component.

Fixed

• Fix bug which would have occurred in the case where the user produces a
  conversation by repeatedly calling agent.say outside a conversation scene.
  Previously the agent would not observe the conversation in that case since the
  usual way of observing the conversation happens in the conversation scene, which
  this approach bypasses.
• Fix bug which would cause a crash if no importance is passed in to memory.
• Fix bug in Schelling diagram payoffs component and refactor it.
• Fix bug in the Schedule component that adds 'None.' to memory when no events
  are scheduled on a given step.