82 lines
2.4 KiB
Python
82 lines
2.4 KiB
Python
from pydantic import BaseModel
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class ZMQSettings(BaseModel):
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internal_pub_address: str = "tcp://localhost:5560"
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internal_sub_address: str = "tcp://localhost:5561"
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ri_command_address: str = "tcp://localhost:0000"
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ri_communication_address: str = "tcp://*:5555"
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vad_agent_address: str = "tcp://localhost:5558"
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class AgentSettings(BaseModel):
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# agent names
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bdi_core_name: str = "bdi_core_agent"
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bdi_belief_collector_name: str = "belief_collector_agent"
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text_belief_extractor_name: str = "text_belief_extractor_agent"
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vad_name: str = "vad_agent"
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llm_name: str = "llm_agent"
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test_name: str = "test_agent"
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transcription_name: str = "transcription_agent"
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ri_communication_name: str = "ri_communication_agent"
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robot_speech_name: str = "robot_speech_agent"
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class BehaviourSettings(BaseModel):
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sleep_s: float = 1.0
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comm_setup_max_retries: int = 5
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socket_poller_timeout_ms: int = 100
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# VAD settings
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vad_prob_threshold: float = 0.5
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vad_initial_since_speech: int = 100
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vad_non_speech_patience_chunks: int = 3
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# transcription behaviour
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transcription_max_concurrent_tasks: int = 3
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transcription_words_per_minute: int = 300
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transcription_words_per_token: float = 0.75 # (3 words = 4 tokens)
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transcription_token_buffer: int = 10
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class LLMSettings(BaseModel):
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local_llm_url: str = "http://localhost:1234/v1/chat/completions"
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local_llm_model: str = "openai/gpt-oss-20b"
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request_timeout_s: int = 120
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class VADSettings(BaseModel):
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repo_or_dir: str = "snakers4/silero-vad"
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model_name: str = "silero_vad"
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sample_rate_hz: int = 16000
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class SpeechModelSettings(BaseModel):
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# model identifiers for speech recognition
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mlx_model_name: str = "mlx-community/whisper-small.en-mlx"
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openai_model_name: str = "small.en"
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class Settings(BaseSettings):
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app_title: str = "PepperPlus"
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ui_url: str = "http://localhost:5173"
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zmq_settings: ZMQSettings = ZMQSettings()
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agent_settings: AgentSettings = AgentSettings()
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behaviour_settings: BehaviourSettings = BehaviourSettings()
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vad_settings: VADSettings = VADSettings()
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speech_model_settings: SpeechModelSettings = SpeechModelSettings()
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llm_settings: LLMSettings = LLMSettings()
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model_config = SettingsConfigDict(env_file=".env", env_nested_delimiter="__")
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settings = Settings()
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