mirror of
https://github.com/Routstr/routstr-core.git
synced 2026-10-05 20:28:23 +00:00
Jeroen UbbinkandClaude Opus 5
59bf8f4c90
The write edge read each rate through `dict.get`, which returns `None` for an absent key and for an explicit `null` alike, and skipped both. `Pricing` declares `prompt` and `completion` without a default and every rate as a float, so neither is a row the read path can parse: the write was accepted, the row committed, and the response that reads it back raised — a 500 for a request the edge had already acted on, leaving a model that cannot be served. Ask whether the key is there, then whether its value is a rate. Which rates are required is derived from `Pricing` itself rather than restated, so the two cannot drift; an omitted auxiliary rate is still accepted, since those have defaults. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014X8RZzzbAuQCbavhFjTvJ4
696 lines
24 KiB
Python
696 lines
24 KiB
Python
import asyncio
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import json
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import random
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import httpx
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from fastapi import APIRouter, Depends, HTTPException, Request
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from pydantic import BaseModel as V2BaseModel
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from pydantic.v1 import BaseModel
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from sqlmodel.ext.asyncio.session import AsyncSession
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from ..core.db import ModelRow, UpstreamProviderRow, get_session
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from ..core.logging import get_logger
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from ..core.settings import settings
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from .price import sats_usd_price
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from .rates import BILLABLE_PRICING_FIELDS, coerce_rate, is_usable_rate
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logger = get_logger(__name__)
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models_router = APIRouter()
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_MODEL_TEST_ENDPOINT_PATHS = {
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"chat-completions": "chat/completions",
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"completions": "completions",
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"embeddings": "embeddings",
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"responses": "responses",
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}
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# Cap the caller-supplied test payload to avoid forwarding oversized bodies
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# upstream on the operator's credentials.
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_MODEL_TEST_MAX_REQUEST_BYTES = 64 * 1024
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async def _require_admin_api(request: Request) -> None:
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"""Require admin auth without creating an import-time cycle with core.admin."""
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from ..core.admin import require_admin_api
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await require_admin_api(request)
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class Architecture(BaseModel):
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modality: str
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input_modalities: list[str]
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output_modalities: list[str]
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tokenizer: str
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instruct_type: str | None
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class Pricing(BaseModel):
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prompt: float
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completion: float
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request: float = 0.0
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image: float = 0.0
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web_search: float = 0.0
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internal_reasoning: float = 0.0
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input_cache_read: float = 0.0
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input_cache_write: float = 0.0
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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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# The rates ``Pricing`` declares without a default, derived from the model so the
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# two cannot drift. A payload that omits one writes a row that will not parse.
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REQUIRED_PRICING_FIELDS = tuple(
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name for name, field in Pricing.__fields__.items() if field.required
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)
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def has_usable_pricing(pricing: Pricing) -> bool:
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"""True if every billable rate is a number a request could be billed on.
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Free is usable — a rate of zero is a real price. This asks only whether the
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price is well-formed. One unusable rate disqualifies the whole price even
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alongside a valid one, since a request can bill on the bad field: a positive
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``completion`` must not hide a negative ``prompt``.
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"""
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return all(
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is_usable_rate(getattr(pricing, field)) for field in BILLABLE_PRICING_FIELDS
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)
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class TopProvider(BaseModel):
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context_length: int | None = None
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max_completion_tokens: int | None = None
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is_moderated: bool | None = None
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class Model(BaseModel):
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id: str
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name: str
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created: int
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description: str
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context_length: int
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architecture: Architecture
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pricing: Pricing
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sats_pricing: Pricing | None = None
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per_request_limits: dict | None = None
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top_provider: TopProvider | None = None
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enabled: bool = True
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upstream_provider_id: int | str | None = None
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canonical_slug: str | None = None
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alias_ids: list[str] | None = None
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forwarded_model_id: str | None = None
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def __hash__(self) -> int:
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return hash(self.id)
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def litellm_cost_entry(model_id: str) -> dict | None:
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"""Look up ``model_id`` in litellm's bundled cost map.
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litellm ships per-model USD rates keyed by the exact OpenRouter id
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(``deepseek/deepseek-chat``) or the bare model name (``gpt-4o``,
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``claude-sonnet-4-5``), so both spellings are tried. Keys are lowercase, so
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a mixed-case upstream id (``deepseek-ai/DeepSeek-V4-Flash``) is retried via
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a case-insensitive scan. Returns the matched cost dict, or ``None``.
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"""
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import litellm
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candidates = (model_id, model_id.split("/", 1)[-1])
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for key in candidates:
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info = litellm.model_cost.get(key)
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if isinstance(info, dict):
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return info
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lowered = {c.lower() for c in candidates}
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for key, info in litellm.model_cost.items():
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if isinstance(key, str) and key.lower() in lowered and isinstance(info, dict):
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return info
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return None
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def backfill_cache_pricing(model_id: str, pricing: Pricing) -> Pricing:
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"""Fill missing cache rates from litellm's bundled cost map.
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The OpenRouter model feed omits ``input_cache_read``/``input_cache_write``
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for many models (most DeepSeek entries, openai/gpt-4o, ...). Without a
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cache rate, billing falls back to the full input rate, which overcharges
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cache reads (DeepSeek hits are 10x cheaper) and undercharges Anthropic
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cache writes (1.25x). The lookup (see ``litellm_cost_entry``) tries both
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id spellings and a case-insensitive fallback.
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Rates already present (e.g. provided by OpenRouter) are authoritative and
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never overwritten. Unknown models are returned unchanged.
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"""
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needs_read = (pricing.input_cache_read or 0.0) <= 0.0
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needs_write = (pricing.input_cache_write or 0.0) <= 0.0
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if not (needs_read or needs_write):
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return pricing
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info = litellm_cost_entry(model_id)
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if info is None:
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return pricing
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updated = Pricing.parse_obj(pricing.dict())
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if needs_read:
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read_rate = info.get("cache_read_input_token_cost")
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if isinstance(read_rate, (int, float)) and read_rate > 0:
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updated.input_cache_read = float(read_rate)
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if needs_write:
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write_rate = info.get("cache_creation_input_token_cost")
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if isinstance(write_rate, (int, float)) and write_rate > 0:
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updated.input_cache_write = float(write_rate)
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return updated
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def _has_valid_pricing(model: dict) -> bool:
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"""Check if model has valid pricing (usable rates, and not free)."""
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pricing = model.get("pricing", {})
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if not pricing:
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return False
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# Coercion runs before the both-zero test below, which `NaN` would defeat
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# on its own — and one entry the coercion chokes on must not unwind the
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# whole fetch, which once cost the node an entire upstream catalog.
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prompt = coerce_rate(pricing.get("prompt", 0))
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completion = coerce_rate(pricing.get("completion", 0))
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if prompt is None or completion is None:
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return False
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if prompt == 0 and completion == 0:
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return False
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return True
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async def async_fetch_openrouter_models(source_filter: str | None = None) -> list[dict]:
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"""Asynchronously fetch model information from OpenRouter API."""
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base_url = "https://openrouter.ai/api/v1"
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try:
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async with httpx.AsyncClient() as client:
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models_response, embeddings_response = await asyncio.gather(
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client.get(f"{base_url}/models", timeout=30),
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client.get(f"{base_url}/embeddings/models", timeout=30),
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return_exceptions=True,
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)
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def process_models_response(
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response: httpx.Response | BaseException,
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) -> list[dict]:
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if not isinstance(response, BaseException):
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response.raise_for_status()
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data = response.json()
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return [
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model
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for model in data.get("data", [])
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if ":free" not in model.get("id", "").lower()
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]
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return []
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models_data: list[dict] = []
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models_data.extend(process_models_response(models_response))
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models_data.extend(process_models_response(embeddings_response))
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# Apply source filter and exclusions
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filtered_models = []
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for model in models_data:
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model_id = model.get("id", "")
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if source_filter:
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source_prefix = f"{source_filter}/"
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if not model_id.startswith(source_prefix):
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continue
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model = dict(model)
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model["id"] = model_id[len(source_prefix) :]
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model_id = model["id"]
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if "(free)" in model.get("name", ""):
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continue
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if not _has_valid_pricing(model):
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continue
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filtered_models.append(model)
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return filtered_models
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except Exception as e:
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logger.error(f"Error (async) fetching models from OpenRouter API: {e}")
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return []
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def _row_to_model(
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row: ModelRow, apply_provider_fee: bool = False, provider_fee: float = 1.01
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) -> Model:
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architecture = json.loads(row.architecture)
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pricing = json.loads(row.pricing)
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per_request_limits = (
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json.loads(row.per_request_limits) if row.per_request_limits else None
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)
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top_provider_dict = json.loads(row.top_provider) if row.top_provider else None
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if isinstance(pricing, dict) and float(pricing.get("request", 0.0)) <= 0.0:
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pricing["request"] = max(pricing.get("request", 0.0), 0.0)
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parsed_pricing = Pricing.parse_obj(pricing)
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# Fill missing cache-read/write rates from litellm's cost map BEFORE applying
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# the provider fee, so they carry the same markup as every other component.
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# DB-stored override pricing (e.g. generic providers) omits cache rates;
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# without this, ``_row_to_model`` bills cache reads at the full input rate —
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# the ``_apply_provider_fee_to_model`` path backfills, but the override path
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# used for admin-configured providers did not.
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#
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# Key on ``forwarded_model_id`` (the actual upstream model name litellm
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# prices) when set: an alias row (id="local-alias",
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# forwarded_model_id="deepseek-v4-flash") would otherwise look up the alias
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# and miss the cache rate.
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pricing_model_id = getattr(row, "forwarded_model_id", None) or row.id
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parsed_pricing = backfill_cache_pricing(pricing_model_id, parsed_pricing)
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if apply_provider_fee:
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parsed_pricing = Pricing.parse_obj(
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{k: float(v) * provider_fee for k, v in parsed_pricing.dict().items()}
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)
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model = Model(
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id=row.id,
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name=row.name,
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created=row.created,
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description=row.description,
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context_length=row.context_length,
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architecture=Architecture.parse_obj(architecture),
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pricing=parsed_pricing,
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sats_pricing=None,
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per_request_limits=per_request_limits,
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top_provider=TopProvider.parse_obj(top_provider_dict)
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if top_provider_dict
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else None,
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enabled=row.enabled,
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upstream_provider_id=row.upstream_provider_id,
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canonical_slug=getattr(row, "canonical_slug", None),
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alias_ids=json.loads(row.alias_ids) if row.alias_ids else None,
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forwarded_model_id=getattr(row, "forwarded_model_id", None),
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)
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if apply_provider_fee:
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(
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parsed_pricing.max_prompt_cost,
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parsed_pricing.max_completion_cost,
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parsed_pricing.max_cost,
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) = _calculate_usd_max_costs(model)
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try:
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sats_to_usd = sats_usd_price()
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model = _update_model_sats_pricing(model, sats_to_usd)
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except Exception as e:
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logger.warning(f"Could not calculate sats pricing: {e}")
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return model
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async def list_models(
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session: AsyncSession,
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upstream_id: int,
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include_disabled: bool = False,
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apply_fees: bool = True,
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) -> list[Model]:
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from sqlmodel import select
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from ..core.db import UpstreamProviderRow
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query = select(ModelRow)
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if upstream_id is not None:
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query = query.where(ModelRow.upstream_provider_id == upstream_id)
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if not include_disabled:
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query = query.where(ModelRow.enabled)
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rows = (await session.exec(query)).all() # type: ignore
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provider_result = await session.exec(select(UpstreamProviderRow))
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providers_by_id = {p.id: p for p in provider_result.all()}
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models: list[Model] = []
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for r in rows:
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if not include_disabled and not (
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r.upstream_provider_id in providers_by_id
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and providers_by_id[r.upstream_provider_id].enabled
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):
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continue
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try:
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model = _row_to_model(
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r,
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apply_provider_fee=apply_fees,
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provider_fee=providers_by_id[r.upstream_provider_id].provider_fee
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if r.upstream_provider_id in providers_by_id
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else 1.01,
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)
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except Exception as e:
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# Stored pricing/architecture is JSON from whatever wrote the row, so
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# a legacy import or foreign writer can leave a field that will not
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# parse. Converting inside this loop meant one such row raised out of
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# the whole listing and the node advertised nothing at all. Drop the
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# row we cannot read — it is unservable either way — and keep serving
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# the rest.
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logger.warning(
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"Skipping model row that could not be read",
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extra={
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"model_id": r.id,
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"upstream_provider_id": r.upstream_provider_id,
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"error": str(e),
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"error_type": type(e).__name__,
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},
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)
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continue
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# Served-map backstop for legacy rows and writers that bypass the admin
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# edge: a negative or non-finite rate is not a price. Serving one
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# advertises a rate the cost calculation cannot bill on, so the request
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# falls through to the flat maximum reservation — or, if the rate is
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# negative, bills an amount settlement credits back to the caller.
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# ``include_disabled`` is the operator's listing, which must keep showing
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# the row so it can be repaired.
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if not include_disabled and not has_usable_pricing(model.pricing):
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logger.warning(
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"Withholding model with an unusable stored rate from the catalog",
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extra={
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"model_id": r.id,
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"upstream_provider_id": r.upstream_provider_id,
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},
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)
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continue
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models.append(model)
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return models
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def _calculate_usd_max_costs(model: Model) -> tuple[float, float, float]:
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"""Calculate max costs in USD based on model context/token limits.
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Args:
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model: Model object
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Returns:
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Tuple of (max_prompt_cost, max_completion_cost, max_cost) in USD
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"""
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min_req_msat = max(1, int(getattr(settings, "min_request_msat", 1)))
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min_req_usd = float(min_req_msat) / 1_000_000.0
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prompt_price = model.pricing.prompt
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completion_price = model.pricing.completion
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if model.top_provider and (
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model.top_provider.context_length or model.top_provider.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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if cl <= mct:
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return (
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cl * prompt_price,
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cl * completion_price,
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cl * max(completion_price, prompt_price),
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)
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return (
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cl * prompt_price,
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mct * completion_price,
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(cl - mct) * prompt_price + mct * completion_price,
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)
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elif cl := model.top_provider.context_length:
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return (
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cl * prompt_price,
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cl * completion_price,
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cl * max(completion_price, prompt_price),
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)
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elif mct := model.top_provider.max_completion_tokens:
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return (
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mct * prompt_price,
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mct * completion_price,
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mct * completion_price,
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)
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elif model.context_length:
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return (
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model.context_length * prompt_price,
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model.context_length * completion_price,
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model.context_length * max(completion_price, prompt_price),
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)
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p = prompt_price * 1_000_000
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c = completion_price * 32_000
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r = model.pricing.request * 100_000
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i = model.pricing.image * 100
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w = model.pricing.web_search * 1000
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ir = model.pricing.internal_reasoning * 100
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return (p, c, max(p + c + r + i + w + ir, min_req_usd))
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def _update_model_sats_pricing(model: Model, sats_to_usd: float) -> Model:
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"""Update a model's sats_pricing based on USD pricing and exchange rate.
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Args:
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model: Model object to update
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sats_to_usd: Current sats to USD exchange rate
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Returns:
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Updated Model object with new sats_pricing
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"""
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try:
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min_req_msat = max(1, int(getattr(settings, "min_request_msat", 1)))
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min_req_sats = float(min_req_msat) / 1000.0
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sats = Pricing.parse_obj(
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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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if sats.request <= 0.0:
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sats.request = min_req_sats
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if (sats.max_cost or 0.0) < min_req_sats:
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sats.max_cost = min_req_sats
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return Model(
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id=model.id,
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name=model.name,
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created=model.created,
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description=model.description,
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context_length=model.context_length,
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architecture=model.architecture,
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pricing=model.pricing,
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sats_pricing=sats,
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per_request_limits=model.per_request_limits,
|
|
top_provider=model.top_provider,
|
|
enabled=model.enabled,
|
|
upstream_provider_id=model.upstream_provider_id,
|
|
canonical_slug=model.canonical_slug,
|
|
alias_ids=model.alias_ids,
|
|
forwarded_model_id=model.forwarded_model_id,
|
|
)
|
|
except Exception as e:
|
|
logger.error(
|
|
"Failed to update sats pricing for model",
|
|
extra={
|
|
"model_id": model.id,
|
|
"error": str(e),
|
|
"error_type": type(e).__name__,
|
|
},
|
|
)
|
|
return model
|
|
|
|
|
|
async def _update_sats_pricing_once() -> None:
|
|
"""Update sats pricing once for all provider models (in-memory only)."""
|
|
from ..proxy import get_upstreams, refresh_model_maps
|
|
|
|
upstreams = get_upstreams()
|
|
if not upstreams:
|
|
return
|
|
|
|
sats_to_usd = sats_usd_price()
|
|
|
|
updated_count = 0
|
|
for upstream in upstreams:
|
|
updated_models = [
|
|
_update_model_sats_pricing(m, sats_to_usd)
|
|
for m in upstream.get_cached_models()
|
|
]
|
|
upstream._models_cache = updated_models
|
|
upstream._models_by_id = {
|
|
m.forwarded_model_id or m.id: m for m in updated_models
|
|
}
|
|
updated_count += len(updated_models)
|
|
|
|
if updated_count > 0:
|
|
logger.info(
|
|
f"Updated sats pricing for {updated_count} models",
|
|
extra={"models_updated": updated_count},
|
|
)
|
|
await refresh_model_maps()
|
|
|
|
|
|
async def update_sats_pricing() -> None:
|
|
"""Periodically update sats pricing for all provider models and database overrides."""
|
|
try:
|
|
if not settings.enable_pricing_refresh:
|
|
return
|
|
except Exception:
|
|
pass
|
|
|
|
try:
|
|
await _update_sats_pricing_once()
|
|
except Exception as e:
|
|
logger.warning(
|
|
"Initial sats pricing update failed (will retry in loop)",
|
|
extra={"error": str(e)},
|
|
)
|
|
|
|
while True:
|
|
try:
|
|
interval = getattr(settings, "pricing_refresh_interval_seconds", 120)
|
|
jitter = max(0.0, float(interval) * 0.1)
|
|
await asyncio.sleep(interval + random.uniform(0, jitter))
|
|
except asyncio.CancelledError:
|
|
break
|
|
|
|
try:
|
|
try:
|
|
if not settings.enable_pricing_refresh:
|
|
return
|
|
except Exception:
|
|
pass
|
|
|
|
await _update_sats_pricing_once()
|
|
except asyncio.CancelledError:
|
|
break
|
|
except Exception as e:
|
|
logger.error(f"Error updating sats pricing: {e}")
|
|
|
|
|
|
class ModelTestRequest(V2BaseModel):
|
|
model_id: str
|
|
endpoint_type: str
|
|
request_data: dict
|
|
|
|
|
|
@models_router.post("/api/models/test", dependencies=[Depends(_require_admin_api)])
|
|
async def test_model(
|
|
payload: ModelTestRequest,
|
|
session: AsyncSession = Depends(get_session),
|
|
) -> dict:
|
|
"""Test a model by sending a request through its configured upstream provider."""
|
|
from sqlmodel import select
|
|
|
|
result = await session.execute(
|
|
select(ModelRow).where(ModelRow.id == payload.model_id)
|
|
)
|
|
model_row = result.scalars().first()
|
|
|
|
if not model_row:
|
|
return {
|
|
"success": False,
|
|
"error": f"Model '{payload.model_id}' not found in database",
|
|
"status_code": 404,
|
|
}
|
|
|
|
provider = await session.get(UpstreamProviderRow, model_row.upstream_provider_id)
|
|
if not provider:
|
|
return {
|
|
"success": False,
|
|
"error": "Upstream provider not found",
|
|
"status_code": 404,
|
|
}
|
|
|
|
endpoint_path = _MODEL_TEST_ENDPOINT_PATHS.get(payload.endpoint_type)
|
|
if endpoint_path is None:
|
|
raise HTTPException(status_code=400, detail="Unsupported endpoint_type")
|
|
|
|
actual_model_id = model_row.forwarded_model_id or model_row.id
|
|
request_data = dict(payload.request_data)
|
|
request_data["model"] = actual_model_id
|
|
|
|
try:
|
|
request_size = len(json.dumps(request_data).encode("utf-8"))
|
|
except (TypeError, ValueError):
|
|
raise HTTPException(status_code=400, detail="Invalid request_data")
|
|
if request_size > _MODEL_TEST_MAX_REQUEST_BYTES:
|
|
raise HTTPException(status_code=413, detail="request_data too large")
|
|
|
|
base_url = provider.base_url.rstrip("/")
|
|
url = f"{base_url}/{endpoint_path}"
|
|
|
|
logger.info(
|
|
"admin model test",
|
|
extra={
|
|
"model_id": payload.model_id,
|
|
"forwarded_model_id": actual_model_id,
|
|
"endpoint_type": payload.endpoint_type,
|
|
"upstream_provider_id": model_row.upstream_provider_id,
|
|
"request_bytes": request_size,
|
|
},
|
|
)
|
|
|
|
headers = {
|
|
"Content-Type": "application/json",
|
|
"Authorization": f"Bearer {provider.api_key}",
|
|
}
|
|
|
|
try:
|
|
async with httpx.AsyncClient(timeout=30.0) as client:
|
|
response = await client.post(url, json=request_data, headers=headers)
|
|
try:
|
|
response_data = response.json()
|
|
except Exception:
|
|
response_data = {"raw": response.text}
|
|
|
|
return {
|
|
"success": response.status_code < 400,
|
|
"data": response_data,
|
|
"status_code": response.status_code,
|
|
}
|
|
except Exception as e:
|
|
return {
|
|
"success": False,
|
|
"error": str(e),
|
|
"status_code": 500,
|
|
}
|
|
|
|
|
|
@models_router.get("/v1/models/paths")
|
|
@models_router.get("/v1/models/paths/", include_in_schema=False)
|
|
async def model_paths() -> dict:
|
|
"""All models with every upstream provider path they are reachable through."""
|
|
from ..upstream.model_paths import get_all_model_paths
|
|
|
|
return await get_all_model_paths()
|
|
|
|
|
|
@models_router.get("/v1/models/paths/model")
|
|
@models_router.get("/v1/models/paths/model/", include_in_schema=False)
|
|
async def model_paths_for_model(model_id: str) -> dict:
|
|
"""Paths for a single model.
|
|
|
|
Uses a query parameter (``?model_id=...``) under a fully static route so
|
|
model ids containing ``/`` (e.g. ``anthropic/claude-opus-4.6``) need no URL
|
|
encoding and there is no dynamic-route ambiguity.
|
|
"""
|
|
from ..proxy import get_unique_models
|
|
from ..upstream.model_paths import get_paths_for_model
|
|
|
|
result = await get_paths_for_model(model_id)
|
|
if not result["data"]:
|
|
advertised_ids = {model.id.lower() for model in get_unique_models()}
|
|
if model_id.lower() not in advertised_ids:
|
|
raise HTTPException(status_code=404, detail="Model not found")
|
|
return result
|
|
|
|
|
|
@models_router.get("/v1/models")
|
|
@models_router.get("/v1/models/", include_in_schema=False)
|
|
@models_router.get("/models")
|
|
@models_router.get("/models/", include_in_schema=False)
|
|
async def models(session: AsyncSession = Depends(get_session)) -> dict:
|
|
"""Get all available models from all providers with database overrides applied."""
|
|
from ..proxy import get_unique_models
|
|
|
|
items = get_unique_models()
|
|
data = []
|
|
for model in items:
|
|
data.append(model.dict())
|
|
return {"data": data}
|