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Upload folder using huggingface_hub

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config.ini CHANGED
@@ -1,7 +1,7 @@
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  [OpenAI]
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  API_TYPE=helmholtz-blablador
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- MODEL=alias-fast
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- REASONING_MODEL=alias-fast
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  FALLBACK_MODEL_LARGE=alias-large
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  FALLBACK_MODEL_HUGE=alias-huge
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  TOP_P=1.0
 
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  [OpenAI]
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  API_TYPE=helmholtz-blablador
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+ MODEL=alias-huge
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+ REASONING_MODEL=alias-huge
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  FALLBACK_MODEL_LARGE=alias-large
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  FALLBACK_MODEL_HUGE=alias-huge
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  TOP_P=1.0
tinytroupe/agent/action_generator.py CHANGED
@@ -67,8 +67,7 @@ class ActionGenerator(JsonSerializableRegistry):
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  # This generator has its own copies of the propositions, in order to be able to isolate them
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  # from other agents, particularly when running the simulation in parallel.
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  self.action_persona_adherence = propositions.hard_action_persona_adherence.copy()
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- self.action_persona_adherence.model = "alias-large" # Critical check uses a larger model
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-
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  self.action_self_consistency = propositions.action_self_consistency.copy()
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  self.action_fluency = propositions.action_fluency.copy()
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  self.action_suitability = propositions.action_suitability.copy()
 
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  # This generator has its own copies of the propositions, in order to be able to isolate them
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  # from other agents, particularly when running the simulation in parallel.
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  self.action_persona_adherence = propositions.hard_action_persona_adherence.copy()
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+
 
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  self.action_self_consistency = propositions.action_self_consistency.copy()
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  self.action_fluency = propositions.action_fluency.copy()
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  self.action_suitability = propositions.action_suitability.copy()
tinytroupe/config.ini CHANGED
@@ -15,10 +15,10 @@ AZURE_API_VERSION=2023-05-15
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  #
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  # The main text generation model, used for agent responses
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- MODEL=alias-fast
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  # Reasoning model is used when precise reasoning is required, such as when computing detailed analyses of simulation properties.
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- REASONING_MODEL=alias-fast
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  # Embedding model is used for text similarity tasks
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  EMBEDDING_MODEL=text-embedding-3-small
 
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  #
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  # The main text generation model, used for agent responses
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+ MODEL=alias-huge
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  # Reasoning model is used when precise reasoning is required, such as when computing detailed analyses of simulation properties.
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+ REASONING_MODEL=alias-huge
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  # Embedding model is used for text similarity tasks
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  EMBEDDING_MODEL=text-embedding-3-small