Files
llm-in-text/backend/risk_config.py
T
2026-06-27 22:22:42 +08:00

163 lines
7.5 KiB
Python

import os
from dataclasses import dataclass
def _bool_env(name: str, default: bool) -> bool:
value = os.getenv(name)
if value is None:
return default
return value.strip().lower() in {"1", "true", "yes", "on"}
def _int_env(name: str, default: int) -> int:
try:
return int(os.getenv(name, str(default)))
except (TypeError, ValueError):
return default
def _float_env(name: str, default: float) -> float:
try:
return float(os.getenv(name, str(default)))
except (TypeError, ValueError):
return default
def _str_env(name: str, default: str) -> str:
value = os.getenv(name)
if value is None:
return default
return value.strip() or default
def _optional_env(name: str) -> str | None:
value = os.getenv(name)
if value is None:
return None
value = value.strip()
return value or None
@dataclass(frozen=True)
class RiskConfig:
cors_allow_origins: tuple[str, ...]
session_cookie_name: str
session_cookie_secure: bool
session_cookie_samesite: str
session_cookie_domain: str | None
session_cookie_max_age: int
session_cookie_path: str
session_rotation_seconds: int
api_window_seconds: int
api_soft_limit_per_window: int
api_hard_limit_per_window: int
llm_window_seconds: int
llm_soft_limit_per_window: int
llm_hard_limit_per_window: int
session_concurrency_limit: int
global_concurrency_limit: int
daily_budget_global_usd: float
daily_budget_session_usd: float
daily_budget_ip_usd: float
single_request_max_cost_usd: float
delay_step_ms: int
delay_cap_ms: int
model_circuit_breaker_failures: int
model_circuit_ttl_seconds: int
enforce_redis_fail_closed: bool
completion_model: str
pro_model: str
vision_model: str
completion_max_input_chars: int
completion_max_output_tokens: int
completion_temperature: float
pro_max_input_chars: int
pro_max_output_tokens: int
pro_temperature: float
web_search_model: str
speech_tts_model: str
speech_asr_model: str
web_search_max_input_chars: int
web_search_max_output_tokens: int
web_search_temperature: float
compress_max_input_chars: int
compress_max_output_tokens: int
ocr_max_input_bytes: int
speech_tts_max_input_chars: int
speech_asr_max_input_bytes: int
completion_input_cost_per_1k: float
completion_output_cost_per_1k: float
pro_input_cost_per_1k: float
pro_output_cost_per_1k: float
vision_input_cost_per_1k: float
vision_output_cost_per_1k: float
speech_tts_input_cost_per_1k_chars: float
speech_tts_output_cost_per_minute_audio: float
speech_asr_input_cost_per_mb: float
def load_risk_config() -> RiskConfig:
raw_origins = _str_env(
"CORS_ALLOW_ORIGINS",
"https://chat.imageteach.tech,http://localhost:8080,http://127.0.0.1:8080,http://localhost:5173,http://127.0.0.1:5173",
)
cors_allow_origins = tuple(
origin.strip() for origin in raw_origins.split(",") if origin.strip()
)
return RiskConfig(
cors_allow_origins=cors_allow_origins,
session_cookie_name=_str_env("SESSION_COOKIE_NAME", "llm_anonymous_session"),
session_cookie_secure=_bool_env("SESSION_COOKIE_SECURE", True),
session_cookie_samesite=_str_env("SESSION_COOKIE_SAMESITE", "none"),
session_cookie_domain=_optional_env("SESSION_COOKIE_DOMAIN"),
session_cookie_max_age=_int_env("SESSION_COOKIE_MAX_AGE_SECONDS", 60 * 60 * 24 * 30),
session_cookie_path=_str_env("SESSION_COOKIE_PATH", "/"),
session_rotation_seconds=_int_env("SESSION_ROTATION_SECONDS", 60 * 60 * 24),
api_window_seconds=_int_env("RISK_API_WINDOW_SECONDS", 60),
api_soft_limit_per_window=_int_env("RISK_API_SOFT_LIMIT", 90),
api_hard_limit_per_window=_int_env("RISK_API_HARD_LIMIT", 180),
llm_window_seconds=_int_env("RISK_LLM_WINDOW_SECONDS", 600),
llm_soft_limit_per_window=_int_env("RISK_LLM_SOFT_LIMIT", 8),
llm_hard_limit_per_window=_int_env("RISK_LLM_HARD_LIMIT", 16),
session_concurrency_limit=_int_env("RISK_SESSION_CONCURRENCY_LIMIT", 2),
global_concurrency_limit=_int_env("RISK_GLOBAL_CONCURRENCY_LIMIT", 12),
daily_budget_global_usd=_float_env("RISK_DAILY_BUDGET_GLOBAL_USD", 20.0),
daily_budget_session_usd=_float_env("RISK_DAILY_BUDGET_SESSION_USD", 2.0),
daily_budget_ip_usd=_float_env("RISK_DAILY_BUDGET_IP_USD", 5.0),
single_request_max_cost_usd=_float_env("RISK_SINGLE_REQUEST_MAX_COST_USD", 0.8),
delay_step_ms=_int_env("RISK_DELAY_STEP_MS", 2500),
delay_cap_ms=_int_env("RISK_DELAY_CAP_MS", 30000),
model_circuit_breaker_failures=_int_env("RISK_MODEL_CIRCUIT_FAILURES", 8),
model_circuit_ttl_seconds=_int_env("RISK_MODEL_CIRCUIT_TTL_SECONDS", 300),
enforce_redis_fail_closed=_bool_env("RISK_ENFORCE_REDIS_FAIL_CLOSED", False),
completion_model=_str_env("RISK_COMPLETION_MODEL", os.getenv("LLM_MODEL", "Nex-N2-mini-mlx-OptiQ-8bit-MTP")),
pro_model=_str_env("RISK_PRO_MODEL", os.getenv("PRO_LLM_MODEL", os.getenv("LLM_MODEL", "Nex-N2-mini-mlx-OptiQ-8bit-MTP"))),
vision_model=_str_env("RISK_VISION_MODEL", os.getenv("VLM_MODEL", "Nex-N2-mini-mlx-OptiQ-8bit-MTP")),
completion_max_input_chars=_int_env("RISK_COMPLETION_MAX_INPUT_CHARS", 24000),
completion_max_output_tokens=_int_env("RISK_COMPLETION_MAX_OUTPUT_TOKENS", 768),
completion_temperature=_float_env("RISK_COMPLETION_TEMPERATURE", 0.4),
pro_max_input_chars=_int_env("RISK_PRO_MAX_INPUT_CHARS", 48000),
pro_max_output_tokens=_int_env("RISK_PRO_MAX_OUTPUT_TOKENS", 2048),
pro_temperature=_float_env("RISK_PRO_TEMPERATURE", 0.6),
web_search_model=_str_env("RISK_WEB_SEARCH_MODEL", os.getenv("LLM_MODEL", "Nex-N2-mini-mlx-OptiQ-8bit-MTP")),
speech_tts_model=_str_env("RISK_SPEECH_TTS_MODEL", "Qwen3-TTS-12Hz-1.7B-VoiceDesign-8bit"),
speech_asr_model=_str_env("RISK_SPEECH_ASR_MODEL", "Qwen3-ASR-0.6B-8bit"),
web_search_max_input_chars=_int_env("RISK_WEB_SEARCH_MAX_INPUT_CHARS", 128000),
web_search_max_output_tokens=_int_env("RISK_WEB_SEARCH_MAX_OUTPUT_TOKENS", 4096),
web_search_temperature=_float_env("RISK_WEB_SEARCH_TEMPERATURE", 0.4),
compress_max_input_chars=_int_env("RISK_COMPRESS_MAX_INPUT_CHARS", 128000),
compress_max_output_tokens=_int_env("RISK_COMPRESS_MAX_OUTPUT_TOKENS", 1536),
ocr_max_input_bytes=_int_env("RISK_OCR_MAX_INPUT_BYTES", 100 * 1024 * 1024),
speech_tts_max_input_chars=_int_env("RISK_SPEECH_TTS_MAX_INPUT_CHARS", 4096),
speech_asr_max_input_bytes=_int_env("RISK_SPEECH_ASR_MAX_INPUT_BYTES", 100 * 1024 * 1024),
completion_input_cost_per_1k=_float_env("RISK_COMPLETION_INPUT_COST_PER_1K", 0.0004),
completion_output_cost_per_1k=_float_env("RISK_COMPLETION_OUTPUT_COST_PER_1K", 0.0016),
pro_input_cost_per_1k=_float_env("RISK_PRO_INPUT_COST_PER_1K", 0.003),
pro_output_cost_per_1k=_float_env("RISK_PRO_OUTPUT_COST_PER_1K", 0.012),
vision_input_cost_per_1k=_float_env("RISK_VISION_INPUT_COST_PER_1K", 0.0008),
vision_output_cost_per_1k=_float_env("RISK_VISION_OUTPUT_COST_PER_1K", 0.0024),
speech_tts_input_cost_per_1k_chars=_float_env("RISK_SPEECH_TTS_INPUT_COST_PER_1K_CHARS", 0.0),
speech_tts_output_cost_per_minute_audio=_float_env("RISK_SPEECH_TTS_OUTPUT_COST_PER_MINUTE_AUDIO", 0.0),
speech_asr_input_cost_per_mb=_float_env("RISK_SPEECH_ASR_INPUT_COST_PER_MB", 0.0),
)