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bugfixes

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Cristiano Hoshikawa
2026-06-13 09:45:18 -03:00
parent 89c23fb0ed
commit 471c0e21a9
18 changed files with 837 additions and 91 deletions
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src/core/config.py
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@@ -69,14 +69,14 @@ class Settings(BaseSettings):
LLM_MAX_TOKENS: Optional[int] = Field(default=None, gt=0, description="Max tokens")
# Classification LLM settings
CLASSIFICATION_LLM_MODEL: str = Field(default="bo_gptoss20b_dev", description="Model name for classification node")
CLASSIFICATION_LLM_MODEL: str = Field(default="openai.gpt-4.1", description="Model name for classification node")
CLASSIFICATION_LLM_TEMPERATURE: float = Field(default=0.3, ge=0.0, le=2.0, description="Temperature for classification node")
CLASSIFICATION_LLM_MAX_TOKENS: int = Field(default=1024, gt=0, description="Max tokens for classification node")
CLASSIFICATION_LLM_TOP_P: float = Field(default=0.8, description="Top P for classification node")
CLASSIFICATION_LLM_TOP_K: float = Field(default=250, description="Top K for classification node")
# Large Classification LLM settings (for complex reasoning/canceling)
CLASSIFICATION_LARGE_LLM_MODEL: str = Field(default="bo_gptoss120b_dev", description="Large model name for critical classification steps")
CLASSIFICATION_LARGE_LLM_MODEL: str = Field(default="openai.gpt-4.1", description="Large model name for critical classification steps")
CLASSIFICATION_LARGE_LLM_TEMPERATURE: float = Field(default=0.3, ge=0.0, le=2.0, description="Temperature for large classification node")
CLASSIFICATION_LARGE_LLM_MAX_TOKENS: int = Field(default=1024, gt=0, description="Max tokens for large classification node")
CLASSIFICATION_LARGE_LLM_TOP_P: float = Field(default=0.8, description="Top P for large classification node")
@@ -201,6 +201,9 @@ class Settings(BaseSettings):
# Anatel Dictionary settings
USE_FULL_ANATEL_DICT: bool = Field(default=False, description="Whether to use the full Anatel motives dictionary instead of filtering by service")
# Migration control. Default False: domain nodes must use framework services/MCP/fallbacks.
BACKOFFICE_ALLOW_LEGACY_CLIENTS: bool = Field(default=False, description="Allow direct legacy TIM clients as a parity escape hatch. Keep False for framework-native execution.")
# Speech Analytics API settings
SPEECH_PREDICTION_BASE_URL: Optional[str] = Field(default=None, description="Base URL of the Speech Prediction API gateway (OAuth2 + prediction endpoint)")
SPEECH_PREDICTION_CLIENT_ID: Optional[str] = Field(default=None, description="Client ID for the Speech Prediction OAuth2 client_credentials flow")
@@ -230,7 +233,7 @@ class Settings(BaseSettings):
TAIS_TABLE_CHUNKS: str = Field(default="CHUNKS_CHAR_COHERE_3", description="Oracle table containing TAIS chunks + embeddings")
TAIS_TABLE_FILES: str = Field(default="files_oci", description="Oracle table containing TAIS raw documents")
TAIS_TOP_K: int = Field(default=3, gt=0, description="Number of unique documents returned by TAIS KB search")
TAIS_KB_LLM_MODEL: str = Field(default="bo_gptoss20b_dev", description="Modelo LLM para pós-processamento da KB (bo_gptoss20b_dev ou bo_gptoss120b_dev)")
TAIS_KB_LLM_MODEL: str = Field(default="openai.gpt-4.1", description="Modelo LLM framework para pós-processamento da KB")
TAIS_KB_LLM_TEMPERATURE: float = Field(default=0.3, ge=0.0, le=2.0)
TAIS_KB_LLM_MAX_TOKENS: int = Field(default=4096, gt=0, description="Tokens de saída — manter alto para respostas completas")
TAIS_KB_LLM_TOP_P: float = Field(default=0.9)