rm accidental push of cdk-python binaries

fix calculate_usd_max_costs

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "routstr"
-version = "0.2.0"
+version = "0.2.0c"
 description = "Payment proxy for your LLM endpoint using cashu and nostr."
 readme = "README.md"
 requires-python = ">=3.11"
@@ -19,6 +19,7 @@ dependencies = [
     "websockets>=12.0",
     "nostr>=0.0.2",
     "mdurl==0.1.2",
+    "pillow>=10",
 ]
 
 [dependency-groups]

routstr/algorithm.py

@@ -193,7 +193,7 @@ def create_model_mappings(
         Tuple of (model_instances, provider_map, unique_models)
     """
     from .payment.models import _row_to_model
-    from .upstream import resolve_model_alias
+    from .upstream.helpers import resolve_model_alias
 
     model_instances: dict[str, "Model"] = {}
     provider_map: dict[str, "BaseUpstreamProvider"] = {}

routstr/core/admin.py

@@ -2739,45 +2739,9 @@ async def delete_upstream_provider(provider_id: int) -> dict[str, object]:
 @admin_router.get("/api/provider-types", dependencies=[Depends(require_admin_api)])
 async def get_provider_types() -> list[dict[str, object]]:
     """Get metadata about available provider types including default URLs and whether they're fixed."""
-    provider_types = [
-        {
-            "id": "openrouter",
-            "name": "OpenRouter",
-            "default_base_url": "https://openrouter.ai/api/v1",
-            "fixed_base_url": True,
-        },
-        {
-            "id": "openai",
-            "name": "OpenAI",
-            "default_base_url": "https://api.openai.com/v1",
-            "fixed_base_url": True,
-        },
-        {
-            "id": "anthropic",
-            "name": "Anthropic",
-            "default_base_url": "https://api.anthropic.com/v1",
-            "fixed_base_url": True,
-        },
-        {
-            "id": "azure",
-            "name": "Azure OpenAI",
-            "default_base_url": "",
-            "fixed_base_url": False,
-        },
-        {
-            "id": "ollama",
-            "name": "Ollama",
-            "default_base_url": "http://localhost:11434",
-            "fixed_base_url": False,
-        },
-        {
-            "id": "generic",
-            "name": "Generic",
-            "default_base_url": "",
-            "fixed_base_url": False,
-        },
-    ]
-    return provider_types
+    from ..upstream import upstream_provider_classes
+
+    return [cls.get_provider_metadata() for cls in upstream_provider_classes]
 
 
 @admin_router.get(
@@ -2785,7 +2749,7 @@ async def get_provider_types() -> list[dict[str, object]]:
     dependencies=[Depends(require_admin_api)],
 )
 async def get_provider_models(provider_id: int) -> dict[str, object]:
-    from ..upstream import _instantiate_provider
+    from ..upstream.helpers import _instantiate_provider
 
     async with create_session() as session:
         provider = await session.get(UpstreamProviderRow, provider_id)

routstr/core/main.py

@@ -34,9 +34,9 @@ setup_logging()
 logger = get_logger(__name__)
 
 if os.getenv("VERSION_SUFFIX") is not None:
-    __version__ = f"0.2.0-{os.getenv('VERSION_SUFFIX')}"
+    __version__ = f"0.2.0c-{os.getenv('VERSION_SUFFIX')}"
 else:
-    __version__ = "0.2.0"
+    __version__ = "0.2.0c"
 
 
 @asynccontextmanager
@@ -78,7 +78,7 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
 
         from ..payment.price import _update_prices
         from ..proxy import get_upstreams
-        from ..upstream import refresh_upstreams_models_periodically
+        from ..upstream.helpers import refresh_upstreams_models_periodically
 
         await _update_prices()
         await initialize_upstreams()

routstr/core/settings.py

@@ -235,7 +235,7 @@ class SettingsService:
 
             merged_dict: dict[str, Any] = dict(env_resolved.dict())
             merged_dict.update(
-                {k: v for k, v in db_json.items() if v not in (None, "", []) and v}
+                {k: v for k, v in db_json.items() if v not in (None, "", [], {})}
             )
 
             # Ensure primary_mint is consistent with cashu_mints if not explicitly set

routstr/payment/helpers.py

@@ -1,9 +1,13 @@
+import base64
 import json
 import math
+from io import BytesIO
 from typing import Any
 
+import httpx
 from fastapi import HTTPException, Response
 from fastapi.requests import Request
+from PIL import Image
 from sqlmodel.ext.asyncio.session import AsyncSession
 
 from ..core import get_logger
@@ -172,13 +176,23 @@ async def calculate_discounted_max_cost(
 
     if messages := body.get("messages"):
         prompt_tokens = estimate_tokens(messages)
+
+        image_tokens = await estimate_image_tokens_in_messages(messages)
+        if image_tokens > 0:
+            logger.debug(
+                "Found images in request",
+                extra={
+                    "model": model,
+                    "image_tokens": image_tokens,
+                },
+            )
+            prompt_tokens += image_tokens
+
         estimated_prompt_delta_sats = (
             max_prompt_allowed_sats - prompt_tokens * model_pricing.prompt
         )
-        if estimated_prompt_delta_sats >= 0:
+        if estimated_prompt_delta_sats > 0:
             adjusted = adjusted - math.floor(estimated_prompt_delta_sats * 1000)
-        else:
-            adjusted = adjusted + math.ceil(-estimated_prompt_delta_sats * 1000)
 
     max_tokens_raw = body.get("max_tokens", None)
     if max_tokens_raw is not None:
@@ -193,10 +207,8 @@ async def calculate_discounted_max_cost(
             estimated_completion_delta_sats = (
                 max_completion_allowed_sats - max_tokens_int * model_pricing.completion
             )
-            if estimated_completion_delta_sats >= 0:
+            if estimated_completion_delta_sats > 0:
                 adjusted = adjusted - math.floor(estimated_completion_delta_sats * 1000)
-            else:
-                adjusted = adjusted + math.ceil(-estimated_completion_delta_sats * 1000)
 
     logger.debug(
         "Discounted max cost computed",
@@ -212,7 +224,171 @@ async def calculate_discounted_max_cost(
 
 
 def estimate_tokens(messages: list) -> int:
-    return len(str(messages)) // 3
+    """Estimate tokens for text content, excluding image_url fields."""
+    total = 0
+    for msg in messages:
+        if isinstance(msg, dict):
+            content = msg.get("content")
+            if isinstance(content, str):
+                total += len(content)
+            elif isinstance(content, list):
+                total += sum(
+                    len(item.get("text", ""))
+                    for item in content
+                    if isinstance(item, dict) and item.get("type") == "text"
+                )
+    return total // 3
+
+
+def _get_image_dimensions(image_data: bytes) -> tuple[int, int]:
+    """Extract image dimensions from image bytes."""
+    try:
+        img = Image.open(BytesIO(image_data))
+        return img.size
+    except Exception as e:
+        logger.warning(
+            "Failed to get image dimensions, using default",
+            extra={"error": str(e)},
+        )
+        return (512, 512)
+
+
+async def _fetch_image_from_url(url: str) -> bytes | None:
+    """Fetch image from URL."""
+    try:
+        async with httpx.AsyncClient(timeout=10.0) as client:
+            response = await client.get(url)
+            response.raise_for_status()
+            return response.content
+    except Exception as e:
+        logger.warning(
+            "Failed to fetch image from URL",
+            extra={"error": str(e), "url": url[:100]},
+        )
+        return None
+
+
+def _calculate_image_tokens(width: int, height: int, detail: str = "auto") -> int:
+    """Calculate image tokens based on OpenAI's vision pricing.
+
+    For low detail: 85 tokens
+    For high detail/auto: 85 base tokens + 170 tokens per 512px tile
+    """
+    if detail == "low":
+        return 85
+
+    if width > 2048 or height > 2048:
+        aspect_ratio = width / height
+        if width > height:
+            width = 2048
+            height = int(width / aspect_ratio)
+        else:
+            height = 2048
+            width = int(height * aspect_ratio)
+
+    if width > 768 or height > 768:
+        aspect_ratio = width / height
+        if width > height:
+            width = 768
+            height = int(width / aspect_ratio)
+        else:
+            height = 768
+            width = int(height * aspect_ratio)
+
+    tiles_width = (width + 511) // 512
+    tiles_height = (height + 511) // 512
+    num_tiles = tiles_width * tiles_height
+
+    return 85 + (170 * num_tiles)
+
+
+async def estimate_image_tokens_in_messages(messages: list) -> int:
+    """Estimate total tokens for all images in messages.
+
+    Supports both base64 encoded images and image URLs.
+    """
+    total_image_tokens = 0
+
+    for message in messages:
+        if not isinstance(message, dict):
+            continue
+
+        content = message.get("content")
+        if not content:
+            continue
+
+        if isinstance(content, str):
+            continue
+
+        if not isinstance(content, list):
+            continue
+
+        for content_item in content:
+            if not isinstance(content_item, dict):
+                continue
+
+            content_type = content_item.get("type")
+            if content_type not in ("image_url", "input_image"):
+                continue
+
+            image_url_data = content_item.get("image_url")
+            if not image_url_data:
+                continue
+
+            if isinstance(image_url_data, str):
+                url = image_url_data
+                detail = "auto"
+            elif isinstance(image_url_data, dict):
+                url = image_url_data.get("url", "")
+                detail = image_url_data.get("detail", "auto")
+            else:
+                continue
+
+            if not url:
+                continue
+
+            if url.startswith("data:image/"):
+                try:
+                    header, base64_data = url.split(",", 1)
+                    image_bytes = base64.b64decode(base64_data)
+                    width, height = _get_image_dimensions(image_bytes)
+                    tokens = _calculate_image_tokens(width, height, detail)
+                    total_image_tokens += tokens
+                    logger.debug(
+                        "Calculated tokens for base64 image",
+                        extra={
+                            "width": width,
+                            "height": height,
+                            "detail": detail,
+                            "tokens": tokens,
+                        },
+                    )
+                except Exception as e:
+                    logger.warning(
+                        "Failed to process base64 image",
+                        extra={"error": str(e)},
+                    )
+                    total_image_tokens += 85
+            else:
+                image_bytes_or_none = await _fetch_image_from_url(url)
+                if image_bytes_or_none:
+                    width, height = _get_image_dimensions(image_bytes_or_none)
+                    tokens = _calculate_image_tokens(width, height, detail)
+                    total_image_tokens += tokens
+                    logger.debug(
+                        "Calculated tokens for URL image",
+                        extra={
+                            "url": url[:100],
+                            "width": width,
+                            "height": height,
+                            "detail": detail,
+                            "tokens": tokens,
+                        },
+                    )
+                else:
+                    total_image_tokens += 85
+
+    return total_image_tokens
 
 
 def create_error_response(

routstr/payment/models.py

@@ -340,28 +340,34 @@ def _calculate_usd_max_costs(model: Model) -> tuple[float, float, float]:
         if (cl := model.top_provider.context_length) and (
             mct := model.top_provider.max_completion_tokens
         ):
+            if cl <= mct:
+                return (
+                    cl * prompt_price,
+                    cl * completion_price,
+                    cl * max(completion_price, prompt_price),
+                )
             return (
-                (cl - mct) * prompt_price,
+                cl * prompt_price,
                 mct * completion_price,
                 (cl - mct) * prompt_price + mct * completion_price,
             )
         elif cl := model.top_provider.context_length:
             return (
-                cl * 0.8 * prompt_price,
-                cl * 0.2 * completion_price,
                 cl * prompt_price,
+                cl * completion_price,
+                cl * max(completion_price, prompt_price),
             )
         elif mct := model.top_provider.max_completion_tokens:
             return (
-                mct * 4 * prompt_price,
+                mct * prompt_price,
+                mct * completion_price,
                 mct * completion_price,
-                mct * 5 * prompt_price,
             )
     elif model.context_length:
         return (
-            model.context_length * 0.8 * prompt_price,
-            model.context_length * 0.2 * completion_price,
             model.context_length * prompt_price,
+            model.context_length * completion_price,
+            model.context_length * max(completion_price, prompt_price),
         )
 
     p = prompt_price * 1_000_000

routstr/proxy.py

@@ -23,7 +23,8 @@ from .payment.helpers import (
     get_max_cost_for_model,
 )
 from .payment.models import Model
-from .upstream import BaseUpstreamProvider, init_upstreams
+from .upstream import BaseUpstreamProvider
+from .upstream.helpers import init_upstreams
 
 logger = get_logger(__name__)
 proxy_router = APIRouter()

routstr/upstream/__init__.py

@@ -1,34 +1,31 @@
 from .anthropic import AnthropicUpstreamProvider
 from .azure import AzureUpstreamProvider
 from .base import BaseUpstreamProvider
+from .fireworks import FireworksUpstreamProvider
 from .generic import GenericUpstreamProvider
-from .helpers import (
-    _instantiate_provider,
-    _seed_providers_from_settings,
-    get_all_models_with_overrides,
-    init_upstreams,
-    refresh_upstreams_models_periodically,
-    resolve_model_alias,
-)
+from .groq import GroqUpstreamProvider
 from .ollama import OllamaUpstreamProvider
 from .openai import OpenAIUpstreamProvider
 from .openrouter import OpenRouterUpstreamProvider
+from .perplexity import PerplexityUpstreamProvider
+from .xai import XAIUpstreamProvider
+
+upstream_provider_classes: list[type[BaseUpstreamProvider]] = [
+    AnthropicUpstreamProvider,
+    AzureUpstreamProvider,
+    FireworksUpstreamProvider,
+    GenericUpstreamProvider,
+    GroqUpstreamProvider,
+    OllamaUpstreamProvider,
+    OpenAIUpstreamProvider,
+    OpenRouterUpstreamProvider,
+    PerplexityUpstreamProvider,
+    XAIUpstreamProvider,
+]
+"""List of all upstream classes"""
 
 __all__ = [
-    # upstreams
-    "AnthropicUpstreamProvider",
-    "AzureUpstreamProvider",
     "BaseUpstreamProvider",
-    "GenericUpstreamProvider",
-    "OllamaUpstreamProvider",
-    "OpenAIUpstreamProvider",
-    "OpenRouterUpstreamProvider",
-    # helpers
-    "resolve_model_alias",
-    "get_all_models_with_overrides",
-    "get_model_with_override",
-    "refresh_upstreams_models_periodically",
-    "init_upstreams",
-    "_seed_providers_from_settings",
-    "_instantiate_provider",
+    *[cls.__name__ for cls in upstream_provider_classes],
+    "upstream_provider_classes",
 ]

routstr/upstream/anthropic.py

@@ -1,18 +1,45 @@
+from typing import TYPE_CHECKING
+
 from ..payment.models import Model, async_fetch_openrouter_models
 from .base import BaseUpstreamProvider
 
+if TYPE_CHECKING:
+    from ..core.db import UpstreamProviderRow
+
 
 class AnthropicUpstreamProvider(BaseUpstreamProvider):
     """Upstream provider specifically configured for Anthropic API."""
 
+    provider_type = "anthropic"
+    default_base_url = "https://api.anthropic.com/v1"
+    platform_url = "https://console.anthropic.com/settings/keys"
+
     def __init__(self, api_key: str, provider_fee: float = 1.01):
-        self.upstream_name = "anthropic"
         super().__init__(
-            base_url="https://api.anthropic.com/v1",
+            base_url=self.default_base_url,
             api_key=api_key,
             provider_fee=provider_fee,
         )
 
+    @classmethod
+    def from_db_row(
+        cls, provider_row: "UpstreamProviderRow"
+    ) -> "AnthropicUpstreamProvider":
+        return cls(
+            api_key=provider_row.api_key,
+            provider_fee=provider_row.provider_fee,
+        )
+
+    @classmethod
+    def get_provider_metadata(cls) -> dict[str, object]:
+        return {
+            "id": cls.provider_type,
+            "name": "Anthropic",
+            "default_base_url": cls.default_base_url,
+            "fixed_base_url": True,
+            "platform_url": cls.platform_url,
+        }
+
     def transform_model_name(self, model_id: str) -> str:
         """Strip 'anthropic/' prefix for Anthropic API compatibility and transform model names."""
         if model_id.startswith("anthropic/"):

routstr/upstream/azure.py

@@ -1,11 +1,18 @@
-from typing import Mapping
+from typing import TYPE_CHECKING, Mapping
 
 from .base import BaseUpstreamProvider
 
+if TYPE_CHECKING:
+    from ..core.db import UpstreamProviderRow
+
 
 class AzureUpstreamProvider(BaseUpstreamProvider):
     """Upstream provider specifically configured for Azure OpenAI Service."""
 
+    provider_type = "azure"
+    default_base_url = None
+    platform_url = "https://portal.azure.com/"
+
     def __init__(
         self,
         base_url: str,
@@ -28,6 +35,29 @@ class AzureUpstreamProvider(BaseUpstreamProvider):
         )
         self.api_version = api_version
 
+    @classmethod
+    def from_db_row(
+        cls, provider_row: "UpstreamProviderRow"
+    ) -> "AzureUpstreamProvider | None":
+        if not provider_row.api_version:
+            return None
+        return cls(
+            base_url=provider_row.base_url,
+            api_key=provider_row.api_key,
+            api_version=provider_row.api_version,
+            provider_fee=provider_row.provider_fee,
+        )
+
+    @classmethod
+    def get_provider_metadata(cls) -> dict[str, object]:
+        return {
+            "id": cls.provider_type,
+            "name": "Azure OpenAI",
+            "default_base_url": "",
+            "fixed_base_url": False,
+            "platform_url": cls.platform_url,
+        }
+
     def prepare_params(
         self, path: str, query_params: Mapping[str, str] | None
     ) -> Mapping[str, str]:

routstr/upstream/base.py

@@ -1,10 +1,11 @@
 from __future__ import annotations
 
+import asyncio
 import json
 import re
 import traceback
 from collections.abc import AsyncGenerator
-from typing import Mapping
+from typing import TYPE_CHECKING, Mapping
 
 import httpx
 from fastapi import BackgroundTasks, HTTPException, Request
@@ -13,6 +14,10 @@ from fastapi.responses import Response, StreamingResponse
 from ..auth import adjust_payment_for_tokens
 from ..core import get_logger
 from ..core.db import ApiKey, AsyncSession, create_session
+
+if TYPE_CHECKING:
+    from ..core.db import UpstreamProviderRow
+
 from ..payment.cost_caculation import (
     CostData,
     CostDataError,
@@ -35,9 +40,12 @@ logger = get_logger(__name__)
 class BaseUpstreamProvider:
     """Provider for forwarding requests to an upstream AI service API."""
 
+    provider_type: str = "base"
+    default_base_url: str | None = None
+    platform_url: str | None = None
+
     base_url: str
     api_key: str
-    upstream_name: str | None = None
     provider_fee: float = 1.05
     _models_cache: list[Model] = []
     _models_by_id: dict[str, Model] = {}
@@ -56,6 +64,39 @@ class BaseUpstreamProvider:
         self._models_cache = []
         self._models_by_id = {}
 
+    @classmethod
+    def from_db_row(
+        cls, provider_row: "UpstreamProviderRow"
+    ) -> "BaseUpstreamProvider | None":
+        """Factory method to instantiate provider from database row.
+
+        Args:
+            provider_row: Database row containing provider configuration
+
+        Returns:
+            Instantiated provider or None if instantiation fails
+        """
+        return cls(
+            base_url=provider_row.base_url,
+            api_key=provider_row.api_key,
+            provider_fee=provider_row.provider_fee,
+        )
+
+    @classmethod
+    def get_provider_metadata(cls) -> dict[str, object]:
+        """Get metadata about this provider type for API responses.
+
+        Returns:
+            Dict with provider type metadata including id, name, default_base_url, fixed_base_url, platform_url
+        """
+        return {
+            "id": cls.provider_type,
+            "name": cls.provider_type.title(),
+            "default_base_url": cls.default_base_url or "",
+            "fixed_base_url": bool(cls.default_base_url),
+            "platform_url": cls.platform_url,
+        }
+
     def prepare_headers(self, request_headers: dict) -> dict:
         """Prepare headers for upstream request by removing proxy-specific headers and adding authentication.
 
@@ -162,7 +203,7 @@ class BaseUpstreamProvider:
                     extra={
                         "original": original_model,
                         "transformed": transformed_model,
-                        "provider": self.upstream_name or self.base_url,
+                        "provider": self.provider_type or self.base_url,
                     },
                 )
                 return json.dumps(data).encode()
@@ -171,7 +212,7 @@ class BaseUpstreamProvider:
                 "Could not transform request body",
                 extra={
                     "error": str(e),
-                    "provider": self.upstream_name or self.base_url,
+                    "provider": self.provider_type or self.base_url,
                 },
             )
 
@@ -1657,8 +1698,96 @@ class BaseUpstreamProvider:
         Returns:
             List of Model objects with pricing
         """
-        logger.debug(f"Fetching models for {self.upstream_name or self.base_url}")
-        return []
+        logger.debug(f"Fetching models for {self.provider_type or self.base_url}")
+
+        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)
+
+            logger.info(
+                "Fetched models for provider",
+                extra={
+                    "provider": self.provider_type or self.base_url,
+                    "found_count": len(found_models),
+                    "not_found_count": len(not_found_models),
+                },
+            )
+
+            if not_found_models:
+                logger.debug(
+                    "Models not found in OpenRouter",
+                    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."""
@@ -1676,12 +1805,12 @@ class BaseUpstreamProvider:
 
             self._models_by_id = {m.id: m for m in self._models_cache}
             logger.info(
-                f"Refreshed models cache for {self.upstream_name or self.base_url}",
+                f"Refreshed models cache for {self.provider_type or self.base_url}",
                 extra={"model_count": len(models)},
             )
         except Exception as e:
             logger.error(
-                f"Failed to refresh models cache for {self.upstream_name or self.base_url}",
+                f"Failed to refresh models cache for {self.provider_type or self.base_url}",
                 extra={"error": str(e), "error_type": type(e).__name__},
             )
 

routstr/upstream/fireworks.py

@@ -1,24 +1,42 @@
-from ..payment.models import Model, async_fetch_openrouter_models
+from typing import TYPE_CHECKING
+
 from .base import BaseUpstreamProvider
 
+if TYPE_CHECKING:
+    from ..core.db import UpstreamProviderRow
+
 
 class FireworksUpstreamProvider(BaseUpstreamProvider):
     """Upstream provider specifically configured for Fireworks.ai API."""
 
-    upstream_name = "fireworks"
-    base_url = "https://api.fireworks.ai/inference/v1"
+    provider_type = "fireworks"
+    default_base_url = "https://api.fireworks.ai/inference/v1"
     platform_url = "https://app.fireworks.ai/settings/users/api-keys"
 
     def __init__(self, api_key: str, provider_fee: float = 1.01):
         super().__init__(
-            base_url=self.base_url, api_key=api_key, provider_fee=provider_fee
+            base_url=self.default_base_url, api_key=api_key, provider_fee=provider_fee
         )
 
+    @classmethod
+    def from_db_row(
+        cls, provider_row: "UpstreamProviderRow"
+    ) -> "FireworksUpstreamProvider":
+        return cls(
+            api_key=provider_row.api_key,
+            provider_fee=provider_row.provider_fee,
+        )
+
+    @classmethod
+    def get_provider_metadata(cls) -> dict[str, object]:
+        return {
+            "id": cls.provider_type,
+            "name": "Fireworks",
+            "default_base_url": cls.default_base_url,
+            "fixed_base_url": True,
+            "platform_url": cls.platform_url,
+        }
+
     def transform_model_name(self, model_id: str) -> str:
         """Strip 'fireworks/' prefix for Fireworks API compatibility."""
-        return model_id.removeprefix("fireworks/")
-
-    async def fetch_models(self) -> list[Model]:
-        """Fetch Fireworks models from OpenRouter API filtered by fireworks source."""
-        models_data = await async_fetch_openrouter_models(source_filter="fireworks")
-        return [Model(**model) for model in models_data]  # type: ignore
+        return model_id.split("/")[-1]

routstr/upstream/generic.py

@@ -7,6 +7,7 @@ import httpx
 from .base import BaseUpstreamProvider
 
 if TYPE_CHECKING:
+    from ..core.db import UpstreamProviderRow
     from ..payment.models import Model
 
 from ..core.logging import get_logger
@@ -17,6 +18,10 @@ logger = get_logger(__name__)
 class GenericUpstreamProvider(BaseUpstreamProvider):
     """Generic upstream provider that can fetch models from any OpenAI-compatible API."""
 
+    provider_type = "generic"
+    default_base_url = "http://localhost:8888"
+    platform_url = None
+
     def __init__(
         self,
         base_url: str,
@@ -39,6 +44,26 @@ class GenericUpstreamProvider(BaseUpstreamProvider):
             provider_fee=provider_fee,
         )
 
+    @classmethod
+    def from_db_row(
+        cls, provider_row: "UpstreamProviderRow"
+    ) -> "GenericUpstreamProvider":
+        return cls(
+            base_url=provider_row.base_url,
+            api_key=provider_row.api_key,
+            provider_fee=provider_row.provider_fee,
+        )
+
+    @classmethod
+    def get_provider_metadata(cls) -> dict[str, object]:
+        return {
+            "id": cls.provider_type,
+            "name": "Generic",
+            "default_base_url": cls.default_base_url,
+            "fixed_base_url": False,
+            "platform_url": cls.platform_url,
+        }
+
     async def fetch_models(self) -> list[Model]:
         """Fetch models from upstream API using /models endpoint."""
         from ..payment.models import Architecture, Model, Pricing, TopProvider

routstr/upstream/groq.py

@@ -1,24 +1,40 @@
-from ..payment.models import Model, async_fetch_openrouter_models
+from typing import TYPE_CHECKING
+
 from .base import BaseUpstreamProvider
 
+if TYPE_CHECKING:
+    from ..core.db import UpstreamProviderRow
+
 
 class GroqUpstreamProvider(BaseUpstreamProvider):
     """Upstream provider specifically configured for Groq API."""
 
-    upstream_name = "groq"
-    base_url = "https://api.groq.com/openai/v1"
+    provider_type = "groq"
+    default_base_url = "https://api.groq.com/openai/v1"
     platform_url = "https://console.groq.com/keys"
 
     def __init__(self, api_key: str, provider_fee: float = 1.01):
         super().__init__(
-            base_url=self.base_url, api_key=api_key, provider_fee=provider_fee
+            base_url=self.default_base_url, api_key=api_key, provider_fee=provider_fee
         )
 
+    @classmethod
+    def from_db_row(cls, provider_row: "UpstreamProviderRow") -> "GroqUpstreamProvider":
+        return cls(
+            api_key=provider_row.api_key,
+            provider_fee=provider_row.provider_fee,
+        )
+
+    @classmethod
+    def get_provider_metadata(cls) -> dict[str, object]:
+        return {
+            "id": cls.provider_type,
+            "name": "Groq",
+            "default_base_url": cls.default_base_url,
+            "fixed_base_url": True,
+            "platform_url": cls.platform_url,
+        }
+
     def transform_model_name(self, model_id: str) -> str:
         """Strip 'groq/' prefix for Groq API compatibility."""
         return model_id.removeprefix("groq/")
-
-    async def fetch_models(self) -> list[Model]:
-        """Fetch Groq models from OpenRouter API filtered by groq source."""
-        models_data = await async_fetch_openrouter_models(source_filter="groq")
-        return [Model(**model) for model in models_data]  # type: ignore

routstr/upstream/helpers.py

@@ -11,13 +11,7 @@ if TYPE_CHECKING:
 from ..core import get_logger
 from ..core.db import AsyncSession, ModelRow, UpstreamProviderRow, create_session
 from ..payment.models import Model
-from .anthropic import AnthropicUpstreamProvider
-from .azure import AzureUpstreamProvider
 from .base import BaseUpstreamProvider
-from .generic import GenericUpstreamProvider
-from .ollama import OllamaUpstreamProvider
-from .openai import OpenAIUpstreamProvider
-from .openrouter import OpenRouterUpstreamProvider
 
 logger = get_logger(__name__)
 
@@ -148,7 +142,7 @@ async def refresh_upstreams_models_periodically(
                     await upstream.refresh_models_cache()
                 except Exception as e:
                     logger.error(
-                        f"Error refreshing models for {upstream.upstream_name or upstream.base_url}",
+                        f"Error refreshing models for {upstream.base_url}",
                         extra={"error": str(e), "error_type": type(e).__name__},
                     )
         except asyncio.CancelledError:
@@ -220,61 +214,47 @@ async def _seed_providers_from_settings(
     """
     from sqlmodel import select
 
-    from ..core.settings import settings
+    from . import upstream_provider_classes
 
     providers_to_add: list[UpstreamProviderRow] = []
     seeded_base_urls: set[str] = set()
 
-    openai_api_key = os.environ.get("OPENAI_API_KEY")
-    if openai_api_key:
-        base_url = "https://api.openai.com/v1"
-        result = await session.exec(
-            select(UpstreamProviderRow).where(UpstreamProviderRow.base_url == base_url)
-        )
-        if not result.first():
-            providers_to_add.append(
-                UpstreamProviderRow(
-                    provider_type="openai",
-                    base_url=base_url,
-                    api_key=openai_api_key,
-                    enabled=True,
-                )
-            )
-            seeded_base_urls.add(base_url)
+    provider_classes_by_type = {
+        cls.provider_type: cls
+        for cls in upstream_provider_classes  # type: ignore[attr-defined]
+    }
 
-    anthropic_api_key = os.environ.get("ANTHROPIC_API_KEY")
-    if anthropic_api_key:
-        base_url = "https://api.anthropic.com/v1"
-        result = await session.exec(
-            select(UpstreamProviderRow).where(UpstreamProviderRow.base_url == base_url)
-        )
-        if not result.first():
-            providers_to_add.append(
-                UpstreamProviderRow(
-                    provider_type="anthropic",
-                    base_url=base_url,
-                    api_key=anthropic_api_key,
-                    enabled=True,
-                )
-            )
-            seeded_base_urls.add(base_url)
+    env_mappings: list[tuple[str, str, str | None, str | None]] = [
+        ("OPENAI_API_KEY", "openai", None, None),
+        ("ANTHROPIC_API_KEY", "anthropic", None, None),
+        ("OPENROUTER_API_KEY", "openrouter", None, None),
+        ("GROQ_API_KEY", "groq", None, None),
+        ("PERPLEXITY_API_KEY", "perplexity", None, None),
+        ("FIREWORKS_API_KEY", "fireworks", None, None),
+        ("XAI_API_KEY", "xai", None, None),
+    ]
 
-    openrouter_api_key = os.environ.get("OPENROUTER_API_KEY")
-    if openrouter_api_key:
-        base_url = "https://openrouter.ai/api/v1"
-        result = await session.exec(
-            select(UpstreamProviderRow).where(UpstreamProviderRow.base_url == base_url)
-        )
-        if not result.first():
-            providers_to_add.append(
-                UpstreamProviderRow(
-                    provider_type="openrouter",
-                    base_url=base_url,
-                    api_key=openrouter_api_key,
-                    enabled=True,
+    for env_key, provider_type, _, _ in env_mappings:
+        api_key = os.environ.get(env_key)
+        if api_key and provider_type in provider_classes_by_type:
+            provider_class = provider_classes_by_type[provider_type]
+            if provider_class.default_base_url:  # type: ignore[attr-defined]
+                base_url = provider_class.default_base_url  # type: ignore[attr-defined]
+                result = await session.exec(
+                    select(UpstreamProviderRow).where(
+                        UpstreamProviderRow.base_url == base_url
+                    )
                 )
-            )
-            seeded_base_urls.add(base_url)
+                if not result.first():
+                    providers_to_add.append(
+                        UpstreamProviderRow(
+                            provider_type=provider_type,
+                            base_url=base_url,
+                            api_key=api_key,
+                            enabled=True,
+                        )
+                    )
+                    seeded_base_urls.add(base_url)
 
     ollama_base_url = os.environ.get("OLLAMA_BASE_URL")
     if ollama_base_url:
@@ -323,48 +303,20 @@ async def _seed_providers_from_settings(
                 )
             )
             if not result.first():
-                if "api.openai.com" in base_url.lower():
-                    providers_to_add.append(
-                        UpstreamProviderRow(
-                            provider_type="openai",
-                            base_url=base_url,
-                            api_key=settings.upstream_api_key,
-                            enabled=True,
-                        )
-                    )
-                elif "api.anthropic.com" in base_url.lower():
-                    providers_to_add.append(
-                        UpstreamProviderRow(
-                            provider_type="anthropic",
-                            base_url=base_url,
-                            api_key=settings.upstream_api_key,
-                            enabled=True,
-                        )
-                    )
-                elif "openrouter.ai/api/v1" in base_url.lower():
-                    providers_to_add.append(
-                        UpstreamProviderRow(
-                            provider_type="openrouter",
-                            base_url=base_url,
-                            api_key=settings.upstream_api_key,
-                            enabled=True,
-                        )
-                    )
-                else:
-                    providers_to_add.append(
-                        UpstreamProviderRow(
-                            provider_type="custom",
-                            base_url=base_url,
-                            api_key=settings.upstream_api_key,
-                            enabled=True,
-                        )
+                providers_to_add.append(
+                    UpstreamProviderRow(
+                        provider_type="custom",
+                        base_url=base_url,
+                        api_key=settings.upstream_api_key,
+                        enabled=True,
                     )
+                )
                 seeded_base_urls.add(base_url)
 
     for provider in providers_to_add:
         session.add(provider)
         logger.info(
-            f"Seeding {provider.provider_type} provider",
+            f"Seeding {provider.provider_type} provider",  # type: ignore[str-format]
             extra={"base_url": provider.base_url},
         )
 
@@ -380,53 +332,35 @@ def _instantiate_provider(
     Returns:
         Instantiated provider or None if provider type is unknown
     """
+    from . import upstream_provider_classes
+
     try:
-        if provider_row.provider_type == "openai":
-            return OpenAIUpstreamProvider(
-                provider_row.api_key, provider_row.provider_fee
-            )
-        elif provider_row.provider_type == "anthropic":
-            return AnthropicUpstreamProvider(
-                provider_row.api_key, provider_row.provider_fee
-            )
-        elif provider_row.provider_type == "azure":
-            if not provider_row.api_version:
+        provider_classes_by_type = {
+            cls.provider_type: cls
+            for cls in upstream_provider_classes  # type: ignore[attr-defined]
+        }
+
+        provider_class = provider_classes_by_type.get(provider_row.provider_type)
+
+        if provider_class:
+            provider = provider_class.from_db_row(provider_row)  # type: ignore[attr-defined]
+            if provider is None:
                 logger.error(
-                    "Azure provider missing api_version",
+                    f"Failed to instantiate {provider_row.provider_type} provider",
                     extra={"base_url": provider_row.base_url},
                 )
-                return None
-            return AzureUpstreamProvider(
-                provider_row.base_url,
-                provider_row.api_key,
-                provider_row.api_version,
-                provider_row.provider_fee,
-            )
-        elif provider_row.provider_type == "openrouter":
-            return OpenRouterUpstreamProvider(
-                provider_row.api_key, provider_row.provider_fee
-            )
-        elif provider_row.provider_type == "ollama":
-            return OllamaUpstreamProvider(
-                provider_row.base_url, provider_row.api_key, provider_row.provider_fee
-            )
-        elif provider_row.provider_type == "generic":
-            return GenericUpstreamProvider(
-                provider_row.base_url,
-                provider_row.api_key,
-                provider_row.provider_fee,
-                provider_row.provider_type,
-            )
-        elif provider_row.provider_type == "custom":
+            return provider
+
+        if provider_row.provider_type == "custom":
             return BaseUpstreamProvider(
                 provider_row.base_url, provider_row.api_key, provider_row.provider_fee
             )
-        else:
-            logger.error(
-                f"Unknown provider type: {provider_row.provider_type}",
-                extra={"base_url": provider_row.base_url},
-            )
-            return None
+
+        logger.error(
+            f"Unknown provider type: {provider_row.provider_type}",
+            extra={"base_url": provider_row.base_url},
+        )
+        return None
     except Exception as e:
         logger.error(
             f"Failed to instantiate provider: {e}",

routstr/upstream/ollama.py

@@ -9,7 +9,7 @@ from fastapi.responses import Response, StreamingResponse
 from .base import BaseUpstreamProvider
 
 if TYPE_CHECKING:
-    from ..core.db import ApiKey, AsyncSession
+    from ..core.db import ApiKey, AsyncSession, UpstreamProviderRow
     from ..payment.models import Model
 
 from ..core.logging import get_logger
@@ -20,6 +20,10 @@ logger = get_logger(__name__)
 class OllamaUpstreamProvider(BaseUpstreamProvider):
     """Upstream provider specifically configured for Ollama API."""
 
+    provider_type = "ollama"
+    default_base_url = "http://localhost:11434"
+    platform_url = None
+
     def __init__(
         self,
         base_url: str = "http://localhost:11434",
@@ -33,13 +37,32 @@ class OllamaUpstreamProvider(BaseUpstreamProvider):
             api_key: Optional API key (Ollama typically doesn't require one)
             provider_fee: Provider fee multiplier (default 1.01 for 1% fee)
         """
-        self.upstream_name = "ollama"
         super().__init__(
             base_url=base_url,
             api_key=api_key,
             provider_fee=provider_fee,
         )
 
+    @classmethod
+    def from_db_row(
+        cls, provider_row: "UpstreamProviderRow"
+    ) -> "OllamaUpstreamProvider":
+        return cls(
+            base_url=provider_row.base_url,
+            api_key=provider_row.api_key,
+            provider_fee=provider_row.provider_fee,
+        )
+
+    @classmethod
+    def get_provider_metadata(cls) -> dict[str, object]:
+        return {
+            "id": cls.provider_type,
+            "name": "Ollama",
+            "default_base_url": cls.default_base_url,
+            "fixed_base_url": False,
+            "platform_url": cls.platform_url,
+        }
+
     def transform_model_name(self, model_id: str) -> str:
         """Strip 'ollama/' prefix for Ollama API compatibility."""
         return model_id.removeprefix("ollama/")
@@ -192,12 +215,12 @@ class OllamaUpstreamProvider(BaseUpstreamProvider):
 
             self._models_by_id = {m.id: m for m in self._models_cache}
             logger.info(
-                f"Refreshed models cache for {self.upstream_name or self.base_url}",
+                f"Refreshed models cache for {self.base_url}",
                 extra={"model_count": len(models)},
             )
         except Exception as e:
             logger.error(
-                f"Failed to refresh models cache for {self.upstream_name or self.base_url}",
+                f"Failed to refresh models cache for {self.base_url}",
                 extra={"error": str(e), "error_type": type(e).__name__},
             )
 

routstr/upstream/openai.py

@@ -1,18 +1,43 @@
+from typing import TYPE_CHECKING
+
 from ..payment.models import Model, async_fetch_openrouter_models
 from .base import BaseUpstreamProvider
 
+if TYPE_CHECKING:
+    from ..core.db import UpstreamProviderRow
+
 
 class OpenAIUpstreamProvider(BaseUpstreamProvider):
     """Upstream provider specifically configured for OpenAI API."""
 
+    provider_type = "openai"
+    default_base_url = "https://api.openai.com/v1"
+    platform_url = "https://platform.openai.com/api-keys"
+
     def __init__(self, api_key: str, provider_fee: float = 1.01):
-        self.upstream_name = "openai"
         super().__init__(
-            base_url="https://api.openai.com/v1",
-            api_key=api_key,
-            provider_fee=provider_fee,
+            base_url=self.default_base_url, api_key=api_key, provider_fee=provider_fee
         )
 
+    @classmethod
+    def from_db_row(
+        cls, provider_row: "UpstreamProviderRow"
+    ) -> "OpenAIUpstreamProvider":
+        return cls(
+            api_key=provider_row.api_key,
+            provider_fee=provider_row.provider_fee,
+        )
+
+    @classmethod
+    def get_provider_metadata(cls) -> dict[str, object]:
+        return {
+            "id": cls.provider_type,
+            "name": "OpenAI",
+            "default_base_url": cls.default_base_url,
+            "fixed_base_url": True,
+            "platform_url": cls.platform_url,
+        }
+
     def transform_model_name(self, model_id: str) -> str:
         """Strip 'openai/' prefix for OpenAI API compatibility."""
         return model_id.removeprefix("openai/")

routstr/upstream/openrouter.py

@@ -1,10 +1,19 @@
+from typing import TYPE_CHECKING
+
 from ..payment.models import Model, async_fetch_openrouter_models
 from .base import BaseUpstreamProvider
 
+if TYPE_CHECKING:
+    from ..core.db import UpstreamProviderRow
+
 
 class OpenRouterUpstreamProvider(BaseUpstreamProvider):
     """Upstream provider specifically configured for OpenRouter API."""
 
+    provider_type = "openrouter"
+    default_base_url = "https://openrouter.ai/api/v1"
+    platform_url = "https://openrouter.ai/settings/keys"
+
     def __init__(self, api_key: str, provider_fee: float = 1.06):
         """Initialize OpenRouter provider with API key.
 
@@ -12,13 +21,29 @@ class OpenRouterUpstreamProvider(BaseUpstreamProvider):
             api_key: OpenRouter API key for authentication
             provider_fee: Provider fee multiplier (default 1.06 for 6% fee)
         """
-        self.upstream_name = "openrouter"
         super().__init__(
-            base_url="https://openrouter.ai/api/v1",
-            api_key=api_key,
-            provider_fee=provider_fee,
+            base_url=self.default_base_url, api_key=api_key, provider_fee=provider_fee
         )
 
+    @classmethod
+    def from_db_row(
+        cls, provider_row: "UpstreamProviderRow"
+    ) -> "OpenRouterUpstreamProvider":
+        return cls(
+            api_key=provider_row.api_key,
+            provider_fee=provider_row.provider_fee,
+        )
+
+    @classmethod
+    def get_provider_metadata(cls) -> dict[str, object]:
+        return {
+            "id": cls.provider_type,
+            "name": "OpenRouter",
+            "default_base_url": cls.default_base_url,
+            "fixed_base_url": True,
+            "platform_url": cls.platform_url,
+        }
+
     async def fetch_models(self) -> list[Model]:
         """Fetch all OpenRouter models."""
         models_data = await async_fetch_openrouter_models()

routstr/upstream/perplexity.py

@@ -1,21 +1,45 @@
+from typing import TYPE_CHECKING
+
 from ..payment.models import Model, async_fetch_openrouter_models
 from .base import BaseUpstreamProvider
 
+if TYPE_CHECKING:
+    from ..core.db import UpstreamProviderRow
+
 
 class PerplexityUpstreamProvider(BaseUpstreamProvider):
-    """Upstream provider specifically configured for OpenAI API."""
+    """Upstream provider specifically configured for Perplexity API."""
 
-    upstream_name = "perplexity"
-    base_url = "https://api.perplexity.ai/"  # without v1
+    provider_type = "perplexity"
+    default_base_url = "https://api.perplexity.ai/"
     platform_url = "https://www.perplexity.ai/account/api/keys"
 
     def __init__(self, api_key: str, provider_fee: float = 1.01):
         super().__init__(
-            base_url=self.base_url,
+            base_url=self.default_base_url,
             api_key=api_key,
             provider_fee=provider_fee,
         )
 
+    @classmethod
+    def from_db_row(
+        cls, provider_row: "UpstreamProviderRow"
+    ) -> "PerplexityUpstreamProvider":
+        return cls(
+            api_key=provider_row.api_key,
+            provider_fee=provider_row.provider_fee,
+        )
+
+    @classmethod
+    def get_provider_metadata(cls) -> dict[str, object]:
+        return {
+            "id": cls.provider_type,
+            "name": "Perplexity",
+            "default_base_url": cls.default_base_url,
+            "fixed_base_url": True,
+            "platform_url": cls.platform_url,
+        }
+
     def transform_model_name(self, model_id: str) -> str:
         """Strip 'perplexity/' prefix for Perplexity API compatibility."""
         return model_id.removeprefix("perplexity/")

routstr/upstream/xai.py

@@ -1,24 +1,46 @@
+from typing import TYPE_CHECKING
+
 from ..payment.models import Model, async_fetch_openrouter_models
 from .base import BaseUpstreamProvider
 
+if TYPE_CHECKING:
+    from ..core.db import UpstreamProviderRow
+
 
 class XAIUpstreamProvider(BaseUpstreamProvider):
     """Upstream provider specifically configured for XAI API."""
 
-    upstream_name = "xai"
-    base_url = "https://api.x.ai/v1"
-    platform_url = "https://accounts.x.ai/sign-up"
+    provider_type = "x-ai"
+    default_base_url = "https://api.x.ai/v1"
+    platform_url = "https://console.x.ai/"
 
     def __init__(self, api_key: str, provider_fee: float = 1.01):
         super().__init__(
-            base_url=self.base_url, api_key=api_key, provider_fee=provider_fee
+            base_url=self.default_base_url, api_key=api_key, provider_fee=provider_fee
         )
 
+    @classmethod
+    def from_db_row(cls, provider_row: "UpstreamProviderRow") -> "XAIUpstreamProvider":
+        return cls(
+            api_key=provider_row.api_key,
+            provider_fee=provider_row.provider_fee,
+        )
+
+    @classmethod
+    def get_provider_metadata(cls) -> dict[str, object]:
+        return {
+            "id": cls.provider_type,
+            "name": "xAI",
+            "default_base_url": cls.default_base_url,
+            "fixed_base_url": True,
+            "platform_url": cls.platform_url,
+        }
+
     def transform_model_name(self, model_id: str) -> str:
         """Strip 'xai/' prefix for XAI API compatibility."""
-        return model_id.removeprefix("xai/")
+        return model_id.removeprefix("x-ai/")
 
     async def fetch_models(self) -> list[Model]:
         """Fetch XAI models from OpenRouter API filtered by xai source."""
-        models_data = await async_fetch_openrouter_models(source_filter="xai")
+        models_data = await async_fetch_openrouter_models(source_filter="x-ai")
         return [Model(**model) for model in models_data]  # type: ignore

tests/integration/conftest.py

@@ -512,7 +512,7 @@ async def integration_app(
         from routstr.core.settings import settings as _settings
 
         # Passthrough discounted max cost to avoid dependence on MODELS in tests
-        def _passthrough_discount(
+        async def _passthrough_discount(
             max_cost_for_model: int,
             body: dict,
             model_obj: Any = None,

tests/unit/test_algorithm.py

@@ -49,7 +49,7 @@ def create_test_model(
 def create_test_provider(name: str, base_url: str = "http://test.com") -> Mock:
     """Helper to create a test provider mock."""
     provider = Mock()
-    provider.upstream_name = name
+    provider.provider_type = name
     provider.base_url = base_url
     return provider
 

tests/unit/test_image_tokens.py

@@ -0,0 +1,189 @@
+import base64
+from io import BytesIO
+
+import pytest
+from PIL import Image
+
+from routstr.payment.helpers import (
+    _calculate_image_tokens,
+    _get_image_dimensions,
+    estimate_image_tokens_in_messages,
+)
+
+
+def create_test_image(width: int, height: int) -> bytes:
+    """Create a test image with specified dimensions."""
+    img = Image.new("RGB", (width, height), color="red")
+    buffer = BytesIO()
+    img.save(buffer, format="JPEG")
+    return buffer.getvalue()
+
+
+def test_calculate_image_tokens_low_detail() -> None:
+    """Test that low detail images always return 85 tokens."""
+    assert _calculate_image_tokens(100, 100, "low") == 85
+    assert _calculate_image_tokens(1000, 1000, "low") == 85
+    assert _calculate_image_tokens(2048, 2048, "low") == 85
+
+
+def test_calculate_image_tokens_high_detail_small() -> None:
+    """Test token calculation for small images."""
+    tokens = _calculate_image_tokens(512, 512, "high")
+    assert tokens == 85 + 170
+
+
+def test_calculate_image_tokens_high_detail_large() -> None:
+    """Test token calculation for large images that need tiling."""
+    tokens = _calculate_image_tokens(768, 768, "high")
+    assert tokens > 85
+
+
+def test_calculate_image_tokens_auto() -> None:
+    """Test that auto detail behaves like high detail."""
+    width, height = 512, 512
+    auto_tokens = _calculate_image_tokens(width, height, "auto")
+    high_tokens = _calculate_image_tokens(width, height, "high")
+    assert auto_tokens == high_tokens
+
+
+def test_get_image_dimensions() -> None:
+    """Test extracting dimensions from image bytes."""
+    image_bytes = create_test_image(800, 600)
+    width, height = _get_image_dimensions(image_bytes)
+    assert width == 800
+    assert height == 600
+
+
+def test_get_image_dimensions_invalid() -> None:
+    """Test that invalid image data returns default dimensions."""
+    invalid_bytes = b"not an image"
+    width, height = _get_image_dimensions(invalid_bytes)
+    assert width == 512
+    assert height == 512
+
+
+@pytest.mark.asyncio
+async def test_estimate_image_tokens_base64() -> None:
+    """Test estimating tokens for base64 encoded images."""
+    image_bytes = create_test_image(512, 512)
+    base64_image = base64.b64encode(image_bytes).decode("utf-8")
+
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {"type": "text", "text": "What's in this image?"},
+                {
+                    "type": "image_url",
+                    "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"},
+                },
+            ],
+        }
+    ]
+
+    tokens = await estimate_image_tokens_in_messages(messages)
+    assert tokens > 0
+
+
+@pytest.mark.asyncio
+async def test_estimate_image_tokens_multiple_images() -> None:
+    """Test estimating tokens for multiple images."""
+    image_bytes = create_test_image(512, 512)
+    base64_image = base64.b64encode(image_bytes).decode("utf-8")
+
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {"type": "text", "text": "Compare these images"},
+                {
+                    "type": "image_url",
+                    "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"},
+                },
+                {
+                    "type": "image_url",
+                    "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"},
+                },
+            ],
+        }
+    ]
+
+    tokens = await estimate_image_tokens_in_messages(messages)
+    assert tokens > 0
+
+
+@pytest.mark.asyncio
+async def test_estimate_image_tokens_with_detail() -> None:
+    """Test that detail parameter affects token calculation."""
+    image_bytes = create_test_image(512, 512)
+    base64_image = base64.b64encode(image_bytes).decode("utf-8")
+
+    messages_low = [
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "image_url",
+                    "image_url": {
+                        "url": f"data:image/jpeg;base64,{base64_image}",
+                        "detail": "low",
+                    },
+                },
+            ],
+        }
+    ]
+
+    messages_high = [
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "image_url",
+                    "image_url": {
+                        "url": f"data:image/jpeg;base64,{base64_image}",
+                        "detail": "high",
+                    },
+                },
+            ],
+        }
+    ]
+
+    tokens_low = await estimate_image_tokens_in_messages(messages_low)
+    tokens_high = await estimate_image_tokens_in_messages(messages_high)
+
+    assert tokens_low == 85
+    assert tokens_high > tokens_low
+
+
+@pytest.mark.asyncio
+async def test_estimate_image_tokens_no_images() -> None:
+    """Test that messages without images return 0 tokens."""
+    messages = [
+        {"role": "user", "content": "Hello, how are you?"},
+        {"role": "assistant", "content": "I'm doing well, thank you!"},
+    ]
+
+    tokens = await estimate_image_tokens_in_messages(messages)
+    assert tokens == 0
+
+
+@pytest.mark.asyncio
+async def test_estimate_image_tokens_input_image_type() -> None:
+    """Test that input_image type is also supported."""
+    image_bytes = create_test_image(512, 512)
+    base64_image = base64.b64encode(image_bytes).decode("utf-8")
+
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "input_image",
+                    "image_url": f"data:image/jpeg;base64,{base64_image}",
+                },
+            ],
+        }
+    ]
+
+    tokens = await estimate_image_tokens_in_messages(messages)
+    assert tokens > 0

ui/app/providers/page.tsx

@@ -194,6 +194,11 @@ export default function ProvidersPage() {
     return providerType?.fixed_base_url || false;
   };
 
+  const getPlatformUrl = (type: string) => {
+    const providerType = providerTypes.find((pt) => pt.id === type);
+    return providerType?.platform_url || null;
+  };
+
   const toggleProviderExpansion = (providerId: number) => {
     const newExpanded = new Set(expandedProviders);
     if (newExpanded.has(providerId)) {
@@ -285,7 +290,19 @@ export default function ProvidersPage() {
                       />
                     </div>
                     <div className='grid gap-2'>
-                      <Label htmlFor='api_key'>API Key</Label>
+                      <div className='flex items-center justify-between'>
+                        <Label htmlFor='api_key'>API Key</Label>
+                        {getPlatformUrl(formData.provider_type) && (
+                          <a
+                            href={getPlatformUrl(formData.provider_type)!}
+                            target='_blank'
+                            rel='noopener noreferrer'
+                            className='text-xs text-blue-600 hover:text-blue-800 dark:text-blue-400 dark:hover:text-blue-300'
+                          >
+                            Get Your API Key Here →
+                          </a>
+                        )}
+                      </div>
                       <Input
                         id='api_key'
                         type='password'
@@ -694,9 +711,21 @@ export default function ProvidersPage() {
                 />
               </div>
               <div className='grid gap-2'>
-                <Label htmlFor='edit_api_key'>
-                  API Key (leave blank to keep current)
-                </Label>
+                <div className='flex items-center justify-between'>
+                  <Label htmlFor='edit_api_key'>
+                    API Key (leave blank to keep current)
+                  </Label>
+                  {getPlatformUrl(formData.provider_type) && (
+                    <a
+                      href={getPlatformUrl(formData.provider_type)!}
+                      target='_blank'
+                      rel='noopener noreferrer'
+                      className='text-xs text-blue-600 hover:text-blue-800 dark:text-blue-400 dark:hover:text-blue-300'
+                    >
+                      Get Your API Key Here →
+                    </a>
+                  )}
+                </div>
                 <Input
                   id='edit_api_key'
                   type='password'

ui/lib/api/services/admin.ts

@@ -6,6 +6,7 @@ export const ProviderTypeSchema = z.object({
   name: z.string(),
   default_base_url: z.string(),
   fixed_base_url: z.boolean(),
+  platform_url: z.string().nullable(),
 });
 
 export const UpstreamProviderSchema = z.object({

ui/package.json

@@ -15,7 +15,6 @@
     "@dnd-kit/core": "^6.3.1",
     "@dnd-kit/modifiers": "^9.0.0",
     "@dnd-kit/sortable": "^10.0.0",
-    "@gandlaf21/cashu-tools": "^2.0.1",
     "@hookform/resolvers": "^5.0.1",
     "@radix-ui/react-alert-dialog": "^1.1.10",
     "@radix-ui/react-avatar": "^1.1.6",
@@ -43,14 +42,13 @@
     "@radix-ui/react-tooltip": "^1.2.3",
     "@tanstack/react-query": "^5.74.4",
     "@tanstack/react-table": "^8.21.3",
-    "axios": "^1.8.4",
+    "axios": "^1.13.2",
     "class-variance-authority": "^0.7.1",
     "clsx": "^2.1.1",
     "cmdk": "^1.1.1",
     "date-fns": "^3.6.0",
     "embla-carousel-react": "^8.6.0",
     "input-otp": "^1.4.2",
-    "lnurl-pay": "^2.3.0",
     "lucide-react": "^0.501.0",
     "next": "15.3.1",
     "next-themes": "^0.4.6",
@@ -84,4 +82,4 @@
     "tailwindcss": "^4",
     "typescript": "^5"
   }
-}
+}

uv.lock

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 name = "pluggy"
 version = "1.6.0"
@@ -1783,7 +1878,7 @@ wheels = [
 
 [[package]]
 name = "routstr"
-version = "0.2.0"
+version = "0.2.0c0"
 source = { editable = "." }
 dependencies = [
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@@ -1795,6 +1890,7 @@ dependencies = [
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     { name = "mdurl" },
     { name = "nostr" },
+    { name = "pillow" },
     { name = "python-json-logger" },
     { name = "secp256k1" },
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