mirror of
https://github.com/Routstr/routstr-core.git
synced 2026-08-09 02:54:37 +00:00
max cost discount
This commit is contained in:
@@ -50,6 +50,7 @@ class Settings(BaseSettings):
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fixed_per_1k_output_tokens: int = Field(default=0, env="FIXED_PER_1K_OUTPUT_TOKENS")
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exchange_fee: float = Field(default=1.005, env="EXCHANGE_FEE")
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upstream_provider_fee: float = Field(default=1.05, env="UPSTREAM_PROVIDER_FEE")
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tolerance_percentage: float = Field(default=1.0, env="TOLERANCE_PERCENTAGE")
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# Network
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cors_origins: list[str] = Field(default_factory=lambda: ["*"], env="CORS_ORIGINS")
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@@ -1,4 +1,5 @@
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import json
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import math
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from typing import Mapping
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from fastapi import HTTPException, Response
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@@ -7,7 +8,7 @@ from fastapi.requests import Request
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from ..core import get_logger
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from ..core.settings import settings
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from ..wallet import deserialize_token_from_string
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from .models import MODELS
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from .models import MODELS, Pricing
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logger = get_logger(__name__)
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@@ -80,7 +81,7 @@ def check_token_balance(headers: dict, body: dict, max_cost_for_model: int) -> N
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)
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def get_max_cost_for_model(model: str, tolerance_percentage: int = 1) -> int:
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def get_max_cost_for_model(model: str, tolerance_percentage: float = 1.0) -> int:
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"""Get the maximum cost for a specific model."""
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logger.debug(
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"Getting max cost for model",
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@@ -132,6 +133,75 @@ def get_max_cost_for_model(model: str, tolerance_percentage: int = 1) -> int:
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return settings.fixed_cost_per_request * 1000
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def calculate_discounted_max_cost(
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max_cost_for_model: int, body: dict, tolerance_percentage: float | None = None
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) -> int:
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"""Calculate the discounted max cost for a request."""
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if settings.fixed_pricing:
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return max_cost_for_model
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print(body)
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model_pricing = get_model_cost_info(body.get("model"))
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print("max_cost_for_model (msats)", max_cost_for_model)
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print("model_pricing.max_cost", model_pricing.max_cost)
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print("model_pricing.max_cost (msats)", model_pricing.max_cost * 1000)
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print("model_pricing.max_prompt_cost", model_pricing.max_prompt_cost)
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print("model_pricing.max_completion_cost", model_pricing.max_completion_cost)
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tol = (
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settings.tolerance_percentage
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if tolerance_percentage is None
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else tolerance_percentage
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)
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tol_factor = max(0.0, 1 - float(tol) / 100.0)
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max_prompt_allowed_sats = model_pricing.max_prompt_cost * tol_factor
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max_completion_allowed_sats = model_pricing.max_completion_cost * tol_factor
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if messages := body.get("messages"):
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prompt_tokens = estimate_tokens(messages)
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estimated_prompt_delta_sats = (
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max_prompt_allowed_sats - prompt_tokens * model_pricing.prompt
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)
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if estimated_prompt_delta_sats >= 0:
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max_cost_for_model = max_cost_for_model - math.floor(
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estimated_prompt_delta_sats * 1000
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)
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else:
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max_cost_for_model = max_cost_for_model + math.ceil(
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-estimated_prompt_delta_sats * 1000
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)
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if max_tokens := body.get("max_tokens"):
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estimated_completion_delta_sats = (
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max_completion_allowed_sats - max_tokens * model_pricing.completion
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)
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if estimated_completion_delta_sats >= 0:
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max_cost_for_model = max_cost_for_model - math.floor(
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estimated_completion_delta_sats * 1000
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)
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else:
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max_cost_for_model = max_cost_for_model + math.ceil(
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-estimated_completion_delta_sats * 1000
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)
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print("max_cost_for_model", max_cost_for_model)
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return max(0, max_cost_for_model)
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def estimate_tokens(messages: list) -> int:
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return len(str(messages)) // 3
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def get_model_cost_info(model_id: str | None) -> Pricing:
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if model_id is None:
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raise HTTPException(
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status_code=400,
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detail=f"Model {model_id} not found",
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)
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return next(m for m in MODELS if m.id == model_id).sats_pricing # type: ignore
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def create_error_response(
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error_type: str,
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message: str,
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+46
-14
@@ -30,6 +30,8 @@ class Pricing(BaseModel):
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image: float
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web_search: float
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internal_reasoning: float
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max_prompt_cost: float = 0.0 # in sats not msats
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max_completion_cost: float = 0.0 # in sats not msats
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max_cost: float = 0.0 # in sats not msats
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@@ -111,7 +113,7 @@ def load_models() -> list[Model]:
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try:
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with models_path.open("r") as f:
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data = json.load(f)
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return [Model(**model) for model in data.get("models", [])]
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return [Model(**model) for model in data.get("models", [])] # type: ignore
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except Exception as e:
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logger.error(f"Error loading models from {models_path}: {e}")
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# Fall through to auto-generation
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@@ -130,7 +132,7 @@ def load_models() -> list[Model]:
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return []
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logger.info(f"Successfully fetched {len(models_data)} models from OpenRouter API")
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return [Model(**model) for model in models_data]
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return [Model(**model) for model in models_data] # type: ignore
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MODELS = load_models()
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@@ -143,26 +145,54 @@ async def update_sats_pricing() -> None:
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for model in MODELS:
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model.sats_pricing = Pricing(
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**{k: v / sats_to_usd for k, v in model.pricing.dict().items()}
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)
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) # type: ignore
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mspp = model.sats_pricing.prompt
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mspc = model.sats_pricing.completion
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if (tp := model.top_provider) and (
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tp.context_length or tp.max_completion_tokens
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):
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if (cl := model.top_provider.context_length) and (
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mct := model.top_provider.max_completion_tokens
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):
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model.sats_pricing.max_cost = (cl - mct) * mspp + mct * mspc
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elif cl := model.top_provider.context_length:
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model.sats_pricing.max_cost = cl * 0.8 * mspp + cl * 0.2 * mspc
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elif mct := model.top_provider.max_completion_tokens:
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model.sats_pricing.max_cost = mct * 4 * mspp + mct * mspc
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if (cl := tp.context_length) and (mct := tp.max_completion_tokens):
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max_prompt_cost = (cl - mct) * mspp
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max_completion_cost = mct * mspc
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model.sats_pricing.max_prompt_cost = max_prompt_cost
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model.sats_pricing.max_completion_cost = max_completion_cost
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model.sats_pricing.max_cost = (
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max_prompt_cost + max_completion_cost
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)
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elif cl := tp.context_length:
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max_prompt_cost = cl * 0.8 * mspp
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max_completion_cost = cl * 0.2 * mspc
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model.sats_pricing.max_prompt_cost = max_prompt_cost
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model.sats_pricing.max_completion_cost = max_completion_cost
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model.sats_pricing.max_cost = (
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max_prompt_cost + max_completion_cost
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)
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elif mct := tp.max_completion_tokens:
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max_prompt_cost = mct * 4 * mspp
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max_completion_cost = mct * mspc
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model.sats_pricing.max_prompt_cost = max_prompt_cost
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model.sats_pricing.max_completion_cost = max_completion_cost
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model.sats_pricing.max_cost = (
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max_prompt_cost + max_completion_cost
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)
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else:
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model.sats_pricing.max_cost = 1_000_000 * mspp + 32_000 * mspc
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max_prompt_cost = 1_000_000 * mspp
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max_completion_cost = 32_000 * mspc
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model.sats_pricing.max_prompt_cost = max_prompt_cost
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model.sats_pricing.max_completion_cost = max_completion_cost
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model.sats_pricing.max_cost = (
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max_prompt_cost + max_completion_cost
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)
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elif model.context_length:
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model.sats_pricing.max_cost = (
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max_prompt_cost = (
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model.sats_pricing.prompt * model.context_length * 0.8
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) + (model.sats_pricing.completion * model.context_length * 0.2)
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)
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max_completion_cost = (
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model.sats_pricing.completion * model.context_length * 0.2
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)
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model.sats_pricing.max_prompt_cost = max_prompt_cost
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model.sats_pricing.max_completion_cost = max_completion_cost
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model.sats_pricing.max_cost = max_prompt_cost + max_completion_cost
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else:
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p = model.sats_pricing.prompt * 1_000_000
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c = model.sats_pricing.completion * 32_000
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@@ -170,6 +200,8 @@ async def update_sats_pricing() -> None:
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i = model.sats_pricing.image * 100
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w = model.sats_pricing.web_search * 1000
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ir = model.sats_pricing.internal_reasoning * 100
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model.sats_pricing.max_prompt_cost = p
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model.sats_pricing.max_completion_cost = c
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model.sats_pricing.max_cost = p + c + r + i + w + ir
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except asyncio.CancelledError:
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break
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+8
-1
@@ -17,6 +17,7 @@ from .core import get_logger
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from .core.db import ApiKey, AsyncSession, create_session, get_session
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from .core.settings import settings
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from .payment.helpers import (
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calculate_discounted_max_cost,
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check_token_balance,
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create_error_response,
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get_max_cost_for_model,
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@@ -554,7 +555,13 @@ async def proxy(
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)
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model = request_body_dict.get("model", "unknown")
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max_cost_for_model = get_max_cost_for_model(model=model)
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tolerance = settings.tolerance_percentage
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_max_cost_for_model = get_max_cost_for_model(
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model=model, tolerance_percentage=tolerance
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)
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max_cost_for_model = calculate_discounted_max_cost(
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_max_cost_for_model, request_body_dict, tolerance_percentage=tolerance
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)
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check_token_balance(headers, request_body_dict, max_cost_for_model)
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# Handle authentication
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