62 lines
2.6 KiB
Python
62 lines
2.6 KiB
Python
from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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app_name: str = "Intelligent Cabin Agent"
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app_env: str = "dev"
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app_host: str = "0.0.0.0"
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app_port: int = 8000
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intent_config_path: str = "app/data/intents.json"
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domain_config_path: str = "config/domain.yml"
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action_config_path: str = "config/actions.yml"
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response_config_path: str = "config/responses.yml"
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form_config_path: str = "config/forms.yml"
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rule_config_path: str = "config/rules.yml"
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dialog_act_config_path: str = "config/dialog_acts.yml"
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workflow_config_path: str = "config/workflows.yml"
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# 本地上下文改写引擎配置（不同设备可切换不同 yml 文件）
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context_rewrite_config_path: str = "config/context_rewrite.yml"
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session_backend: str = "memory"
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redis_url: str = "redis://127.0.0.1:6379/0"
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redis_key_prefix: str = "agent:session"
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session_ttl_seconds: int = 86400
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matcher_pipeline: str = "classifier"
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slot_extractor_backend: str = "joint_bert"
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classifier_backend: str = "joint_bert"
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classifier_threshold: float = 1.2
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classifier_bert_threshold: float = 0.0
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classifier_top_k: int = 3
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classifier_model_path: str = ""
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classifier_label_map_path: str = ""
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classifier_warmup_enabled: bool = True
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classifier_warmup_text: str = "打开车窗"
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classifier_remote_url: str = ""
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classifier_remote_timeout_seconds: float = 3.0
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joint_nlu_model_path: str = "models/local_joint_bert_nlu"
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joint_nlu_intent_threshold: float = 0.0
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joint_nlu_top_k: int = 3
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local_route_to_cloud_threshold: float = 0.75
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local_clarify_margin_threshold: float = 0.12
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local_classifier_execute_score_threshold: float = 0.55
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local_classifier_execute_margin_threshold: float = 0.18
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planner_backend: str = "heuristic"
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planner_base_url: str = ""
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planner_api_key: str = ""
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planner_model_name: str = ""
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planner_timeout_seconds: float = 6.0
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planner_clause_classifier_enabled: bool = True
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planner_clause_classifier_weight: float = 1.6
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planner_clause_model_only_threshold: float = 0.62
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planner_multi_intent_detector_enabled: bool = True
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planner_multi_intent_detector_model_path: str = ""
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planner_multi_intent_detector_threshold: float = 0.0
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planner_multi_intent_detector_top_k: int = 8
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planner_multi_intent_detector_max_labels: int = 4
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# 本地知识库目录（存放 .md 格式知识文档）
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knowledge_dir: str = "config/knowledge"
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model_config = SettingsConfigDict(env_file=".env", env_prefix="AGENT_")
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settings = Settings()
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