mirror of
https://github.com/Routstr/routstr-core.git
synced 2026-10-30 15:48:37 +00:00
1198 lines
44 KiB
Python
1198 lines
44 KiB
Python
"""Refactored BaseUpstreamProvider with improved code organization and reusability."""
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from __future__ import annotations
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import asyncio
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import json
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from collections.abc import AsyncGenerator
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from typing import TYPE_CHECKING, Mapping
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import httpx
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from fastapi import BackgroundTasks, HTTPException, Request
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from fastapi.responses import Response, StreamingResponse
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from pydantic import BaseModel
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from ..auth import adjust_payment_for_tokens
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from ..core import get_logger
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from ..core.db import ApiKey, AsyncSession, create_session
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if TYPE_CHECKING:
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from ..core.db import UpstreamProviderRow
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from ..payment.cost_calculation import (
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CostData,
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CostDataError,
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MaxCostData,
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calculate_cost,
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)
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from ..payment.helpers import create_error_response
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from ..payment.models import (
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Model,
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Pricing,
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_calculate_usd_max_costs,
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_update_model_sats_pricing,
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)
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from ..payment.price import sats_usd_price
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# Import our new modular components
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from .handlers.cashu_payment_handler import (
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ChatCompletionCashuHandler,
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ResponsesApiCashuHandler,
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)
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from .processing.http_client import HttpForwarder, StreamingResponseWrapper
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logger = get_logger(__name__)
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class TopupData(BaseModel):
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"""Universal top-up data schema for Lightning Network invoices."""
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invoice_id: str
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payment_request: str
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amount: int
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currency: str
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expires_at: int | None = None
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checkout_url: str | None = None
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class BaseUpstreamProvider:
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"""Provider for forwarding requests to an upstream AI service API."""
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provider_type: str = "base"
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default_base_url: str | None = None
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platform_url: str | None = None
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base_url: str
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api_key: str
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provider_fee: float = 1.05
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_models_cache: list[Model] = []
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_models_by_id: dict[str, Model] = {}
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def __init__(self, base_url: str, api_key: str, provider_fee: float = 1.01):
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"""Initialize the upstream provider."""
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self.base_url = base_url
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self.api_key = api_key
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self.provider_fee = provider_fee
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self._models_cache = []
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self._models_by_id = {}
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# Initialize modular components
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self.http_forwarder = HttpForwarder(base_url)
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self.chat_cashu_handler = ChatCompletionCashuHandler(base_url)
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self.responses_cashu_handler = ResponsesApiCashuHandler(base_url)
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self.streaming_wrapper = StreamingResponseWrapper()
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@classmethod
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def from_db_row(
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cls, provider_row: "UpstreamProviderRow"
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) -> "BaseUpstreamProvider | None":
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"""Factory method to instantiate provider from database row."""
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return cls(
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base_url=provider_row.base_url,
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api_key=provider_row.api_key,
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provider_fee=provider_row.provider_fee,
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)
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@classmethod
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def get_provider_metadata(cls) -> dict[str, object]:
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"""Get metadata about this provider type for API responses."""
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return {
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"id": cls.provider_type,
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"name": cls.provider_type.title(),
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"default_base_url": cls.default_base_url or "",
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"fixed_base_url": bool(cls.default_base_url),
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"platform_url": cls.platform_url,
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"can_create_account": False,
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"can_topup": False,
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"can_show_balance": False,
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}
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def prepare_headers(self, request_headers: dict) -> dict:
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"""Prepare headers for upstream request by removing proxy-specific headers and adding authentication."""
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logger.debug(
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"Preparing upstream headers",
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extra={
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"original_headers_count": len(request_headers),
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"has_upstream_api_key": bool(self.api_key),
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},
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)
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headers = dict(request_headers)
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removed_headers = []
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for header in [
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"host",
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"content-length",
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"refund-lnurl",
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"key-expiry-time",
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"x-cashu",
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]:
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if headers.pop(header, None) is not None:
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removed_headers.append(header)
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if self.api_key:
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headers["Authorization"] = f"Bearer {self.api_key}"
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if headers.pop("authorization", None) is not None:
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removed_headers.append("authorization (replaced with upstream key)")
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else:
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for auth_header in ["Authorization", "authorization"]:
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if headers.pop(auth_header, None) is not None:
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removed_headers.append(auth_header)
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for header in ["authorization", "accept-encoding"]:
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if headers.pop(header, None) is not None:
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removed_headers.append(f"{header} (replaced with routstr-safe version)")
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headers["accept-encoding"] = "gzip, deflate, br, identity"
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logger.debug(
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"Headers prepared for upstream",
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extra={
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"final_headers_count": len(headers),
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"removed_headers": removed_headers,
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"added_upstream_auth": bool(self.api_key),
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},
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)
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return headers
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def prepare_params(
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self, path: str, query_params: Mapping[str, str] | None
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) -> Mapping[str, str]:
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"""Prepare query parameters for upstream request."""
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return query_params or {}
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def transform_model_name(self, model_id: str) -> str:
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"""Transform model ID for this provider's API format."""
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return model_id
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def prepare_responses_api_request_body(
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self, body: bytes | None, model_obj: Model
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) -> bytes | None:
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"""Transform request body for Responses API specific requirements."""
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if not body:
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return body
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try:
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data = json.loads(body)
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if isinstance(data, dict):
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if "model" in data:
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original_model = model_obj.id
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transformed_model = self.transform_model_name(original_model)
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data["model"] = transformed_model
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logger.debug(
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"Transformed model name in Responses API request",
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extra={
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"original": original_model,
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"transformed": transformed_model,
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"provider": self.provider_type or self.base_url,
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},
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)
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if (
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"input" in data
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and isinstance(data["input"], dict)
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and "model" in data["input"]
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):
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original_model = model_obj.id
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transformed_model = self.transform_model_name(original_model)
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data["input"]["model"] = transformed_model
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return json.dumps(data).encode()
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except Exception as e:
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logger.debug(
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"Could not transform Responses API request body",
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extra={
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"error": str(e),
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"provider": self.provider_type or self.base_url,
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},
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)
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return body
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def prepare_request_body(
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self, body: bytes | None, model_obj: Model
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) -> bytes | None:
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"""Transform request body for provider-specific requirements."""
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if not body:
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return body
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try:
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data = json.loads(body)
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if isinstance(data, dict) and "model" in data:
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original_model = model_obj.id
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transformed_model = self.transform_model_name(original_model)
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data["model"] = transformed_model
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logger.debug(
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"Transformed model name in request",
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extra={
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"original": original_model,
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"transformed": transformed_model,
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"provider": self.provider_type or self.base_url,
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},
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)
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return json.dumps(data).encode()
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except Exception as e:
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logger.debug(
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"Could not transform request body",
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extra={
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"error": str(e),
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"provider": self.provider_type or self.base_url,
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},
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)
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return body
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def _extract_upstream_error_message(
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self, body_bytes: bytes
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) -> tuple[str, str | None]:
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"""Extract error message and code from upstream error response body."""
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message: str = "Upstream request failed"
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upstream_code: str | None = None
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if not body_bytes:
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return message, upstream_code
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try:
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data = json.loads(body_bytes)
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if isinstance(data, dict):
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err = data.get("error")
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if isinstance(err, dict):
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raw_msg = (
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err.get("message") or err.get("detail") or err.get("error")
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)
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if isinstance(raw_msg, (str, int, float)):
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message = str(raw_msg)
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upstream_code_raw = err.get("code") or err.get("type")
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if isinstance(upstream_code_raw, (str, int, float)):
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upstream_code = str(upstream_code_raw)
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elif "message" in data and isinstance(
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data["message"], (str, int, float)
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):
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message = str(data["message"])
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elif "detail" in data and isinstance(data["detail"], (str, int, float)):
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message = str(data["detail"])
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except Exception:
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preview = body_bytes.decode("utf-8", errors="ignore").strip()
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if preview:
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message = preview[:500]
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return message, upstream_code
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async def map_upstream_error_response(
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self, request: Request, path: str, upstream_response: httpx.Response
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) -> Response:
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"""Map upstream error responses to appropriate proxy error responses."""
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status_code = upstream_response.status_code
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headers = dict(upstream_response.headers)
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content_type = headers.get("content-type", "")
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try:
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body_bytes = await upstream_response.aread()
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except Exception:
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body_bytes = b""
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message, upstream_code = self._extract_upstream_error_message(body_bytes)
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lowered_message = message.lower()
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lowered_code = (upstream_code or "").lower()
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error_type = "upstream_error"
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mapped_status = 502
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if status_code in (400, 422):
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error_type = "invalid_request_error"
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mapped_status = 400
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elif status_code in (401, 403):
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error_type = "upstream_auth_error"
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mapped_status = 502
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elif status_code == 404:
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if path.endswith("chat/completions"):
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error_type = "invalid_model"
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mapped_status = 400
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if not message or message == "Upstream request failed":
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message = "Requested model is not available upstream"
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elif "model" in lowered_message or "model" in lowered_code:
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error_type = "invalid_model"
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mapped_status = 400
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if not message or message == "Upstream request failed":
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message = "Requested model is not available upstream"
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else:
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error_type = "upstream_error"
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mapped_status = 502
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elif status_code == 429:
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error_type = "rate_limit_exceeded"
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mapped_status = 429
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elif status_code >= 500:
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error_type = "upstream_error"
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mapped_status = 502
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logger.debug(
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"Mapped upstream error",
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extra={
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"path": path,
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"upstream_status": status_code,
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"mapped_status": mapped_status,
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"error_type": error_type,
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"upstream_content_type": content_type,
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"message_preview": message[:200],
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},
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)
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return create_error_response(
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error_type, message, mapped_status, request=request
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)
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async def handle_streaming_chat_completion(
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self, response: httpx.Response, key: ApiKey, max_cost_for_model: int
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) -> StreamingResponse:
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"""Handle streaming chat completion responses with token usage tracking and cost adjustment."""
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logger.info(
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"Processing streaming chat completion",
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extra={
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"key_hash": key.hashed_key[:8] + "...",
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"key_balance": key.balance,
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"response_status": response.status_code,
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},
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)
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async def stream_with_cost(
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max_cost_for_model: int,
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) -> AsyncGenerator[bytes, None]:
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tail_buffer: list[bytes] = []
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MAX_TAIL_CHUNKS = 5
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try:
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async for chunk in response.aiter_bytes():
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yield chunk
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tail_buffer.append(chunk)
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if len(tail_buffer) > MAX_TAIL_CHUNKS:
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tail_buffer.pop(0)
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# Post-stream processing
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tail_content = b"".join(tail_buffer).decode("utf-8", errors="ignore")
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usage_data, model = self._extract_usage_from_tail(tail_content)
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if usage_data:
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# Calculate final cost using usage data extracted from stream tail
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async with create_session() as new_session:
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fresh_key = await new_session.get(key.__class__, key.hashed_key)
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if fresh_key:
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try:
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# We need to reconstruct a response object for adjust_payment_for_tokens
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# or call it with usage directly if supported.
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# adjust_payment_for_tokens expects a dict with "usage" and "model" keys usually.
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data = {
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"usage": usage_data,
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"model": model or "unknown",
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}
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cost_data = await adjust_payment_for_tokens(
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fresh_key,
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data,
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new_session,
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max_cost_for_model,
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)
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logger.info(
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"Payment adjustment completed for streaming",
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extra={
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"key_hash": key.hashed_key[:8] + "...",
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"cost_data": cost_data,
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"balance_after_adjustment": fresh_key.balance,
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},
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)
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# We yield the cost data event at the end
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yield f"data: {json.dumps({'cost': cost_data})}\n\n".encode()
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except Exception as cost_error:
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logger.error(
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"Error adjusting payment for streaming tokens",
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extra={"error": str(cost_error)},
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)
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except Exception as stream_error:
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logger.warning(
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"Streaming interrupted",
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extra={"error": str(stream_error)},
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)
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raise
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response_headers = dict(response.headers)
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response_headers.pop("content-encoding", None)
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response_headers.pop("content-length", None)
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return StreamingResponse(
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stream_with_cost(max_cost_for_model),
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status_code=response.status_code,
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headers=response_headers,
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)
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def _extract_usage_from_tail(
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self, tail_content: str
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) -> tuple[dict | None, str | None]:
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"""Extract usage and model from tail content of a stream."""
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usage_data = None
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model = None
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lines = tail_content.strip().split("\n")
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for line in lines:
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if line.startswith("data: "):
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try:
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data = json.loads(line[6:])
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if isinstance(data, dict):
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if "usage" in data:
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usage_data = data["usage"]
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if "model" in data:
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model = data["model"]
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except json.JSONDecodeError:
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continue
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return usage_data, model
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|
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async def handle_non_streaming_chat_completion(
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self,
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response: httpx.Response,
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key: ApiKey,
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session: AsyncSession,
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deducted_max_cost: int,
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) -> Response:
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"""Handle non-streaming chat completion responses with token usage tracking and cost adjustment."""
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logger.info(
|
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"Processing non-streaming chat completion",
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extra={
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"key_hash": key.hashed_key[:8] + "...",
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"key_balance": key.balance,
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"response_status": response.status_code,
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},
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)
|
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try:
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content = await response.aread()
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response_json = json.loads(content)
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|
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logger.debug(
|
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"Parsed response JSON",
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extra={
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"key_hash": key.hashed_key[:8] + "...",
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"model": response_json.get("model", "unknown"),
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"has_usage": "usage" in response_json,
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},
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)
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cost_data = await adjust_payment_for_tokens(
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key, response_json, session, deducted_max_cost
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)
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response_json["cost"] = cost_data
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|
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logger.info(
|
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"Payment adjustment completed for non-streaming",
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extra={
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"key_hash": key.hashed_key[:8] + "...",
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"cost_data": cost_data,
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"model": response_json.get("model", "unknown"),
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"balance_after_adjustment": key.balance,
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},
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)
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|
|
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allowed_headers = {
|
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"content-type",
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"cache-control",
|
|
"date",
|
|
"vary",
|
|
"access-control-allow-origin",
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"access-control-allow-methods",
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"access-control-allow-headers",
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"access-control-allow-credentials",
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"access-control-expose-headers",
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"access-control-max-age",
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}
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response_headers = {
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k: v
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for k, v in response.headers.items()
|
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if k.lower() in allowed_headers
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}
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return Response(
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content=json.dumps(response_json).encode(),
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status_code=response.status_code,
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headers=response_headers,
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media_type="application/json",
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)
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except json.JSONDecodeError as e:
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logger.error(
|
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"Failed to parse JSON from upstream response",
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extra={
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"error": str(e),
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"key_hash": key.hashed_key[:8] + "...",
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"content_preview": content[:200].decode(errors="ignore")
|
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if content
|
|
else "empty",
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},
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)
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raise
|
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except Exception as e:
|
|
logger.error(
|
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"Error processing non-streaming chat completion",
|
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extra={
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"error": str(e),
|
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"error_type": type(e).__name__,
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"key_hash": key.hashed_key[:8] + "...",
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},
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)
|
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raise
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|
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async def handle_streaming_responses_api_completion(
|
|
self, response: httpx.Response, key: ApiKey, max_cost_for_model: int
|
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) -> StreamingResponse:
|
|
"""Handle streaming Responses API responses with token usage tracking and cost adjustment."""
|
|
logger.info(
|
|
"Processing streaming Responses API completion",
|
|
extra={
|
|
"key_hash": key.hashed_key[:8] + "...",
|
|
"key_balance": key.balance,
|
|
"response_status": response.status_code,
|
|
},
|
|
)
|
|
|
|
async def stream_with_responses_api_cost(
|
|
max_cost_for_model: int,
|
|
) -> AsyncGenerator[bytes, None]:
|
|
tail_buffer: list[bytes] = []
|
|
MAX_TAIL_CHUNKS = 5
|
|
|
|
try:
|
|
async for chunk in response.aiter_bytes():
|
|
yield chunk
|
|
tail_buffer.append(chunk)
|
|
if len(tail_buffer) > MAX_TAIL_CHUNKS:
|
|
tail_buffer.pop(0)
|
|
|
|
# Post-stream processing
|
|
tail_content = b"".join(tail_buffer).decode("utf-8", errors="ignore")
|
|
usage_data, model = self._extract_usage_from_tail(tail_content)
|
|
|
|
if usage_data:
|
|
async with create_session() as new_session:
|
|
fresh_key = await new_session.get(key.__class__, key.hashed_key)
|
|
if fresh_key:
|
|
try:
|
|
data = {
|
|
"usage": usage_data,
|
|
"model": model or "unknown",
|
|
}
|
|
cost_data = await adjust_payment_for_tokens(
|
|
fresh_key,
|
|
data,
|
|
new_session,
|
|
max_cost_for_model,
|
|
)
|
|
logger.info(
|
|
"Payment adjustment completed for Responses API streaming",
|
|
extra={
|
|
"key_hash": key.hashed_key[:8] + "...",
|
|
"cost_data": cost_data,
|
|
"model": model,
|
|
"balance_after_adjustment": fresh_key.balance,
|
|
},
|
|
)
|
|
yield f"data: {json.dumps({'cost': cost_data})}\n\n".encode()
|
|
except Exception as cost_error:
|
|
logger.error(
|
|
"Error adjusting payment for Responses API streaming tokens",
|
|
extra={
|
|
"error": str(cost_error),
|
|
"key_hash": key.hashed_key[:8] + "...",
|
|
},
|
|
)
|
|
|
|
except Exception as stream_error:
|
|
logger.warning(
|
|
"Responses API streaming interrupted",
|
|
extra={
|
|
"error": str(stream_error),
|
|
"key_hash": key.hashed_key[:8] + "...",
|
|
},
|
|
)
|
|
raise
|
|
|
|
response_headers = dict(response.headers)
|
|
response_headers.pop("content-encoding", None)
|
|
response_headers.pop("content-length", None)
|
|
|
|
return StreamingResponse(
|
|
stream_with_responses_api_cost(max_cost_for_model),
|
|
status_code=response.status_code,
|
|
headers=response_headers,
|
|
)
|
|
|
|
async def handle_non_streaming_responses_api_completion(
|
|
self,
|
|
response: httpx.Response,
|
|
key: ApiKey,
|
|
session: AsyncSession,
|
|
deducted_max_cost: int,
|
|
) -> Response:
|
|
"""Handle non-streaming Responses API responses with token usage tracking and cost adjustment."""
|
|
try:
|
|
content = await response.aread()
|
|
response_json = json.loads(content)
|
|
|
|
logger.debug(
|
|
"Parsed Responses API response JSON",
|
|
extra={
|
|
"key_hash": key.hashed_key[:8] + "...",
|
|
"model": response_json.get("model", "unknown"),
|
|
"has_usage": "usage" in response_json,
|
|
},
|
|
)
|
|
|
|
cost_data = await adjust_payment_for_tokens(
|
|
key, response_json, session, deducted_max_cost
|
|
)
|
|
response_json["cost"] = cost_data
|
|
|
|
logger.info(
|
|
"Payment adjustment completed for non-streaming Responses API",
|
|
extra={
|
|
"key_hash": key.hashed_key[:8] + "...",
|
|
"cost_data": cost_data,
|
|
"model": response_json.get("model", "unknown"),
|
|
"balance_after_adjustment": key.balance,
|
|
},
|
|
)
|
|
|
|
allowed_headers = {
|
|
"content-type",
|
|
"cache-control",
|
|
"date",
|
|
"vary",
|
|
"access-control-allow-origin",
|
|
"access-control-allow-methods",
|
|
"access-control-allow-headers",
|
|
"access-control-allow-credentials",
|
|
"access-control-expose-headers",
|
|
"access-control-max-age",
|
|
}
|
|
|
|
response_headers = {
|
|
k: v
|
|
for k, v in response.headers.items()
|
|
if k.lower() in allowed_headers
|
|
}
|
|
|
|
return Response(
|
|
content=json.dumps(response_json).encode(),
|
|
status_code=response.status_code,
|
|
headers=response_headers,
|
|
media_type="application/json",
|
|
)
|
|
except json.JSONDecodeError as e:
|
|
logger.error(
|
|
"Failed to parse JSON from upstream Responses API response",
|
|
extra={
|
|
"error": str(e),
|
|
"key_hash": key.hashed_key[:8] + "...",
|
|
"content_preview": content[:200].decode(errors="ignore")
|
|
if content
|
|
else "empty",
|
|
},
|
|
)
|
|
raise
|
|
except Exception as e:
|
|
logger.error(
|
|
"Error processing non-streaming Responses API completion",
|
|
extra={
|
|
"error": str(e),
|
|
"error_type": type(e).__name__,
|
|
"key_hash": key.hashed_key[:8] + "...",
|
|
},
|
|
)
|
|
raise
|
|
|
|
async def forward_request(
|
|
self,
|
|
request: Request,
|
|
path: str,
|
|
headers: dict,
|
|
request_body: bytes | None,
|
|
key: ApiKey,
|
|
max_cost_for_model: int,
|
|
session: AsyncSession,
|
|
model_obj: Model,
|
|
) -> Response | StreamingResponse:
|
|
"""Forward authenticated request to upstream service with cost tracking."""
|
|
try:
|
|
response = await self.http_forwarder.forward_request(
|
|
request=request,
|
|
path=path,
|
|
headers=headers,
|
|
request_body=request_body,
|
|
query_params=self.prepare_params(path, request.query_params),
|
|
transform_body_func=self.prepare_request_body,
|
|
model_obj=model_obj,
|
|
)
|
|
|
|
if response.status_code != 200:
|
|
try:
|
|
mapped_error = await self.map_upstream_error_response(
|
|
request, path, response
|
|
)
|
|
finally:
|
|
await response.aclose()
|
|
return mapped_error
|
|
|
|
if path.endswith("chat/completions"):
|
|
client_wants_streaming = False
|
|
if request_body:
|
|
try:
|
|
request_data = json.loads(request_body)
|
|
client_wants_streaming = request_data.get("stream", False)
|
|
except json.JSONDecodeError:
|
|
logger.warning(
|
|
"Failed to parse request body JSON for streaming detection"
|
|
)
|
|
|
|
content_type = response.headers.get("content-type", "")
|
|
upstream_is_streaming = "text/event-stream" in content_type
|
|
is_streaming = client_wants_streaming and upstream_is_streaming
|
|
|
|
if is_streaming and response.status_code == 200:
|
|
return await self.handle_streaming_chat_completion(
|
|
response, key, max_cost_for_model
|
|
)
|
|
elif response.status_code == 200:
|
|
try:
|
|
return await self.handle_non_streaming_chat_completion(
|
|
response, key, session, max_cost_for_model
|
|
)
|
|
finally:
|
|
await response.aclose()
|
|
|
|
background_tasks = BackgroundTasks()
|
|
background_tasks.add_task(response.aclose)
|
|
|
|
return StreamingResponse(
|
|
response.aiter_bytes(),
|
|
status_code=response.status_code,
|
|
headers=dict(response.headers),
|
|
background=background_tasks,
|
|
)
|
|
|
|
except httpx.RequestError as exc:
|
|
return create_error_response(
|
|
"upstream_error", str(exc), 502, request=request
|
|
)
|
|
except Exception as exc:
|
|
logger.error(
|
|
"Unexpected error in upstream forwarding",
|
|
extra={
|
|
"error": str(exc),
|
|
"error_type": type(exc).__name__,
|
|
},
|
|
)
|
|
return create_error_response(
|
|
"internal_error",
|
|
"An unexpected server error occurred",
|
|
500,
|
|
request=request,
|
|
)
|
|
|
|
async def forward_responses_api_request(
|
|
self,
|
|
request: Request,
|
|
path: str,
|
|
headers: dict,
|
|
request_body: bytes | None,
|
|
key: ApiKey,
|
|
max_cost_for_model: int,
|
|
session: AsyncSession,
|
|
model_obj: Model,
|
|
) -> Response | StreamingResponse:
|
|
"""Forward authenticated Responses API request to upstream service with cost tracking."""
|
|
try:
|
|
response = await self.http_forwarder.forward_request(
|
|
request=request,
|
|
path=path,
|
|
headers=headers,
|
|
request_body=request_body,
|
|
query_params=self.prepare_params(path, request.query_params),
|
|
transform_body_func=self.prepare_responses_api_request_body,
|
|
model_obj=model_obj,
|
|
)
|
|
|
|
if response.status_code != 200:
|
|
try:
|
|
mapped_error = await self.map_upstream_error_response(
|
|
request, path, response
|
|
)
|
|
finally:
|
|
await response.aclose()
|
|
return mapped_error
|
|
|
|
if path.startswith("responses"):
|
|
content_type = response.headers.get("content-type", "")
|
|
is_streaming = "text/event-stream" in content_type
|
|
|
|
if is_streaming and response.status_code == 200:
|
|
return await self.handle_streaming_responses_api_completion(
|
|
response, key, max_cost_for_model
|
|
)
|
|
|
|
if response.status_code == 200:
|
|
try:
|
|
return await self.handle_non_streaming_responses_api_completion(
|
|
response, key, session, max_cost_for_model
|
|
)
|
|
finally:
|
|
await response.aclose()
|
|
|
|
background_tasks = BackgroundTasks()
|
|
background_tasks.add_task(response.aclose)
|
|
|
|
return StreamingResponse(
|
|
response.aiter_bytes(),
|
|
status_code=response.status_code,
|
|
headers=dict(response.headers),
|
|
background=background_tasks,
|
|
)
|
|
|
|
except httpx.RequestError as exc:
|
|
return create_error_response(
|
|
"upstream_error", str(exc), 502, request=request
|
|
)
|
|
except Exception as exc:
|
|
logger.error(
|
|
"Unexpected error in upstream Responses API forwarding",
|
|
extra={
|
|
"error": str(exc),
|
|
"error_type": type(exc).__name__,
|
|
},
|
|
)
|
|
return create_error_response(
|
|
"internal_error",
|
|
"An unexpected server error occurred",
|
|
500,
|
|
request=request,
|
|
)
|
|
|
|
async def forward_get_request(
|
|
self,
|
|
request: Request,
|
|
path: str,
|
|
headers: dict,
|
|
) -> Response | StreamingResponse:
|
|
"""Forward unauthenticated GET request to upstream service."""
|
|
try:
|
|
response = await self.http_forwarder.forward_request(
|
|
request=request,
|
|
path=path,
|
|
headers=headers,
|
|
request_body=None,
|
|
query_params=self.prepare_params(path, request.query_params),
|
|
)
|
|
|
|
if response.status_code != 200:
|
|
try:
|
|
mapped = await self.map_upstream_error_response(
|
|
request, path, response
|
|
)
|
|
finally:
|
|
await response.aclose()
|
|
return mapped
|
|
|
|
background_tasks = BackgroundTasks()
|
|
background_tasks.add_task(response.aclose)
|
|
|
|
return StreamingResponse(
|
|
response.aiter_bytes(),
|
|
status_code=response.status_code,
|
|
headers=dict(response.headers),
|
|
background=background_tasks,
|
|
)
|
|
|
|
except Exception as exc:
|
|
logger.error(
|
|
"Error forwarding GET request",
|
|
extra={"error": str(exc), "error_type": type(exc).__name__},
|
|
)
|
|
return create_error_response(
|
|
"internal_error",
|
|
"An unexpected server error occurred",
|
|
500,
|
|
request=request,
|
|
)
|
|
|
|
async def get_x_cashu_cost(
|
|
self, response_data: dict, max_cost_for_model: int
|
|
) -> MaxCostData | CostData | None:
|
|
"""Calculate cost for X-Cashu payment based on response data."""
|
|
model = response_data.get("model", None)
|
|
logger.debug(
|
|
"Calculating cost for response",
|
|
extra={"model": model, "has_usage": "usage" in response_data},
|
|
)
|
|
|
|
async with create_session() as session:
|
|
match await calculate_cost(response_data, max_cost_for_model, session):
|
|
case MaxCostData() as cost:
|
|
logger.debug(
|
|
"Using max cost pricing",
|
|
extra={"model": model, "max_cost_msats": cost.total_msats},
|
|
)
|
|
return cost
|
|
case CostData() as cost:
|
|
logger.debug(
|
|
"Using token-based pricing",
|
|
extra={
|
|
"model": model,
|
|
"total_cost_msats": cost.total_msats,
|
|
"input_msats": cost.input_msats,
|
|
"output_msats": cost.output_msats,
|
|
},
|
|
)
|
|
return cost
|
|
case CostDataError() as error:
|
|
logger.error(
|
|
"Cost calculation error",
|
|
extra={
|
|
"model": model,
|
|
"error_message": error.message,
|
|
"error_code": error.code,
|
|
},
|
|
)
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail={
|
|
"error": {
|
|
"message": error.message,
|
|
"type": "invalid_request_error",
|
|
"code": error.code,
|
|
}
|
|
},
|
|
)
|
|
return None
|
|
|
|
# X-Cashu handlers now use modular components
|
|
async def handle_x_cashu(
|
|
self,
|
|
request: Request,
|
|
x_cashu_token: str,
|
|
path: str,
|
|
max_cost_for_model: int,
|
|
model_obj: Model,
|
|
) -> Response | StreamingResponse:
|
|
"""Handle request with X-Cashu token payment for chat completions."""
|
|
return await self.chat_cashu_handler.handle_request(
|
|
request=request,
|
|
x_cashu_token=x_cashu_token,
|
|
path=path,
|
|
headers=self.prepare_headers(dict(request.headers)),
|
|
max_cost_for_model=max_cost_for_model,
|
|
model_obj=model_obj,
|
|
prepare_request_body_func=self.prepare_request_body,
|
|
get_x_cashu_cost_func=self.get_x_cashu_cost,
|
|
query_params_func=self.prepare_params,
|
|
)
|
|
|
|
async def handle_x_cashu_responses_api(
|
|
self,
|
|
request: Request,
|
|
x_cashu_token: str,
|
|
path: str,
|
|
max_cost_for_model: int,
|
|
model_obj: Model,
|
|
) -> Response | StreamingResponse:
|
|
"""Handle request with X-Cashu token payment for Responses API."""
|
|
return await self.responses_cashu_handler.handle_request(
|
|
request=request,
|
|
x_cashu_token=x_cashu_token,
|
|
path=path,
|
|
headers=self.prepare_headers(dict(request.headers)),
|
|
max_cost_for_model=max_cost_for_model,
|
|
model_obj=model_obj,
|
|
prepare_responses_api_request_body_func=self.prepare_responses_api_request_body,
|
|
get_x_cashu_cost_func=self.get_x_cashu_cost,
|
|
query_params_func=self.prepare_params,
|
|
)
|
|
|
|
def _apply_provider_fee_to_model(self, model: Model) -> Model:
|
|
"""Apply provider fee to model's USD pricing and calculate max costs."""
|
|
adjusted_pricing = Pricing.parse_obj(
|
|
{k: v * self.provider_fee for k, v in model.pricing.dict().items()}
|
|
)
|
|
|
|
temp_model = Model(
|
|
id=model.id,
|
|
name=model.name,
|
|
created=model.created,
|
|
description=model.description,
|
|
context_length=model.context_length,
|
|
architecture=model.architecture,
|
|
pricing=adjusted_pricing,
|
|
sats_pricing=None,
|
|
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,
|
|
)
|
|
|
|
(
|
|
adjusted_pricing.max_prompt_cost,
|
|
adjusted_pricing.max_completion_cost,
|
|
adjusted_pricing.max_cost,
|
|
) = _calculate_usd_max_costs(temp_model)
|
|
|
|
return Model(
|
|
id=model.id,
|
|
name=model.name,
|
|
created=model.created,
|
|
description=model.description,
|
|
context_length=model.context_length,
|
|
architecture=model.architecture,
|
|
pricing=adjusted_pricing,
|
|
sats_pricing=model.sats_pricing,
|
|
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,
|
|
)
|
|
|
|
async def fetch_models(self) -> list[Model]:
|
|
"""Fetch available models from upstream API and update cache."""
|
|
try:
|
|
or_models, provider_models_response = await asyncio.gather(
|
|
self._fetch_openrouter_models(),
|
|
self._fetch_provider_models(),
|
|
)
|
|
|
|
provider_model_ids = self._parse_model_ids(provider_models_response)
|
|
|
|
found_models = []
|
|
not_found_models = []
|
|
|
|
for model_id in provider_model_ids:
|
|
or_model = self._match_model(model_id, or_models)
|
|
if or_model:
|
|
try:
|
|
model = Model(**or_model) # type: ignore
|
|
found_models.append(model)
|
|
except Exception as e:
|
|
logger.warning(
|
|
f"Failed to parse model {model_id}",
|
|
extra={"error": str(e), "error_type": type(e).__name__},
|
|
)
|
|
else:
|
|
not_found_models.append(model_id)
|
|
|
|
if not_found_models:
|
|
logger.debug(
|
|
f"({len(not_found_models)}/{len(provider_model_ids)}) unmatched models for {self.provider_type or self.base_url}",
|
|
extra={"not_found_models": not_found_models},
|
|
)
|
|
|
|
return found_models
|
|
|
|
except Exception as e:
|
|
logger.error(
|
|
f"Error fetching models for {self.provider_type or self.base_url}",
|
|
extra={"error": str(e), "error_type": type(e).__name__},
|
|
)
|
|
return []
|
|
|
|
async def _fetch_openrouter_models(self) -> list[dict]:
|
|
"""Fetch models from OpenRouter API."""
|
|
url = "https://openrouter.ai/api/v1/models"
|
|
async with httpx.AsyncClient(timeout=30.0) as client:
|
|
response = await client.get(url)
|
|
response.raise_for_status()
|
|
models = response.json()
|
|
return [
|
|
model
|
|
for model in models.get("data", [])
|
|
if ":free" not in model.get("id", "").lower()
|
|
]
|
|
|
|
async def _fetch_provider_models(self) -> dict:
|
|
"""Fetch models from provider's API."""
|
|
url = f"{self.base_url.rstrip('/')}/models"
|
|
headers = {"Authorization": f"Bearer {self.api_key}"} if self.api_key else None
|
|
async with httpx.AsyncClient(timeout=30.0) as client:
|
|
response = await client.get(url, headers=headers)
|
|
response.raise_for_status()
|
|
return response.json()
|
|
|
|
def _parse_model_ids(self, response: dict) -> list[str]:
|
|
"""Parse model IDs from provider response."""
|
|
return [model.get("id") for model in response.get("data", []) if "id" in model]
|
|
|
|
def _match_model(self, model_id: str, or_models: list[dict]) -> dict | None:
|
|
"""Match provider model ID with OpenRouter model."""
|
|
return next(
|
|
(
|
|
model
|
|
for model in or_models
|
|
if (model.get("id") == model_id)
|
|
or (model.get("id", "").split("/")[-1] == model_id)
|
|
or (model.get("canonical_slug") == model_id)
|
|
or (model.get("canonical_slug", "").split("/")[-1] == model_id)
|
|
),
|
|
None,
|
|
)
|
|
|
|
async def refresh_models_cache(self) -> None:
|
|
"""Refresh the in-memory models cache from upstream API."""
|
|
try:
|
|
models = await self.fetch_models()
|
|
models_with_fees = [self._apply_provider_fee_to_model(m) for m in models]
|
|
|
|
try:
|
|
sats_to_usd = sats_usd_price()
|
|
self._models_cache = [
|
|
_update_model_sats_pricing(m, sats_to_usd) for m in models_with_fees
|
|
]
|
|
except Exception:
|
|
self._models_cache = models_with_fees
|
|
|
|
self._models_by_id = {m.id: m for m in self._models_cache}
|
|
|
|
except Exception as e:
|
|
logger.error(
|
|
f"Failed to refresh models cache for {self.provider_type or self.base_url}",
|
|
extra={"error": str(e), "error_type": type(e).__name__},
|
|
)
|
|
|
|
def get_cached_models(self) -> list[Model]:
|
|
"""Get cached models for this provider."""
|
|
return self._models_cache
|
|
|
|
def get_cached_model_by_id(self, model_id: str) -> Model | None:
|
|
"""Get a specific cached model by ID."""
|
|
return self._models_by_id.get(model_id)
|
|
|
|
@classmethod
|
|
async def create_account_static(cls) -> dict[str, object]:
|
|
"""Create a new account with the provider (class method, no instance needed)."""
|
|
raise NotImplementedError(
|
|
f"Provider {cls.provider_type} does not support account creation"
|
|
)
|
|
|
|
async def create_account(self) -> dict[str, object]:
|
|
"""Create a new account with the provider."""
|
|
raise NotImplementedError(
|
|
f"Provider {self.provider_type} does not support account creation"
|
|
)
|
|
|
|
async def initiate_topup(self, amount: int) -> TopupData:
|
|
"""Initiate a Lightning Network top-up for the provider account."""
|
|
raise NotImplementedError(
|
|
f"Provider {self.provider_type} does not support top-up"
|
|
)
|
|
|
|
async def get_balance(self) -> float | None:
|
|
"""Get the current account balance from the provider."""
|
|
raise NotImplementedError(
|
|
f"Provider {self.provider_type} does not support balance checking"
|
|
)
|