easy create account and topup over the dashboard for providers that support it

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)
@@ -2826,6 +2790,186 @@ async def get_provider_models(provider_id: int) -> dict[str, object]:
         }
 
 
+class CreateAccountRequest(BaseModel):
+    provider_type: str
+
+
+@admin_router.post(
+    "/api/upstream-providers/create-account",
+    dependencies=[Depends(require_admin_api)],
+)
+async def create_provider_account_by_type(
+    payload: CreateAccountRequest,
+) -> dict[str, object]:
+    """Create a new account with a provider by provider type (before provider exists in DB)."""
+    from ..upstream import upstream_provider_classes
+
+    provider_class = next(
+        (
+            cls
+            for cls in upstream_provider_classes
+            if cls.provider_type == payload.provider_type
+        ),
+        None,
+    )
+    if not provider_class:
+        raise HTTPException(status_code=404, detail="Provider type not found")
+
+    try:
+        account_data = await provider_class.create_account_static()
+
+        return {
+            "ok": True,
+            "account_data": account_data,
+            "message": "Account created successfully",
+        }
+    except NotImplementedError as e:
+        raise HTTPException(
+            status_code=400,
+            detail=f"Provider does not support account creation: {str(e)}",
+        )
+    except Exception as e:
+        logger.error(
+            f"Failed to create account for provider type {payload.provider_type}: {e}"
+        )
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+class TopupRequest(BaseModel):
+    amount: int
+
+
+@admin_router.post(
+    "/api/upstream-providers/{provider_id}/topup",
+    dependencies=[Depends(require_admin_api)],
+)
+async def initiate_provider_topup(
+    provider_id: int, payload: TopupRequest
+) -> dict[str, object]:
+    """Initiate a Lightning Network top-up for the upstream provider account."""
+    from ..upstream.helpers import _instantiate_provider
+
+    async with create_session() as session:
+        provider = await session.get(UpstreamProviderRow, provider_id)
+        if not provider:
+            raise HTTPException(status_code=404, detail="Provider not found")
+
+        upstream_instance = _instantiate_provider(provider)
+        if not upstream_instance:
+            raise HTTPException(
+                status_code=400, detail="Could not instantiate provider"
+            )
+
+        try:
+            logger.info(
+                f"Initiating top-up for provider {provider_id}",
+                extra={"amount": payload.amount},
+            )
+            topup_data = await upstream_instance.initiate_topup(payload.amount)
+            logger.info(
+                "Top-up initiated successfully",
+                extra={
+                    "provider_id": provider_id,
+                    "invoice_id": topup_data.invoice_id,
+                    "amount": topup_data.amount,
+                },
+            )
+
+            response_data = {
+                "ok": True,
+                "topup_data": {
+                    "invoice_id": topup_data.invoice_id,
+                    "payment_request": topup_data.payment_request,
+                    "amount": topup_data.amount,
+                    "currency": topup_data.currency,
+                    "expires_at": topup_data.expires_at,
+                    "checkout_url": topup_data.checkout_url,
+                },
+                "message": "Top-up initiated successfully",
+            }
+            logger.info("Returning response", extra={"response": response_data})
+            return response_data
+        except NotImplementedError as e:
+            logger.error(f"Provider does not support top-up: {e}")
+            raise HTTPException(
+                status_code=400, detail=f"Provider does not support top-up: {str(e)}"
+            )
+        except Exception as e:
+            logger.error(
+                f"Failed to initiate top-up for provider {provider_id}: {e}",
+                extra={"error_type": type(e).__name__, "error": str(e)},
+            )
+            raise HTTPException(status_code=500, detail=str(e))
+
+
+@admin_router.get(
+    "/api/upstream-providers/{provider_id}/topup/{invoice_id}/status",
+    dependencies=[Depends(require_admin_api)],
+)
+async def check_topup_status(provider_id: int, invoice_id: str) -> dict[str, object]:
+    """Check the status of a Lightning Network top-up invoice."""
+    from ..upstream.helpers import _instantiate_provider
+    from ..upstream.ppqai import PPQAIUpstreamProvider
+
+    async with create_session() as session:
+        provider = await session.get(UpstreamProviderRow, provider_id)
+        if not provider:
+            raise HTTPException(status_code=404, detail="Provider not found")
+
+        upstream_instance = _instantiate_provider(provider)
+        if not upstream_instance:
+            raise HTTPException(
+                status_code=400, detail="Could not instantiate provider"
+            )
+
+        if not isinstance(upstream_instance, PPQAIUpstreamProvider):
+            raise HTTPException(
+                status_code=400,
+                detail="Provider does not support top-up status checking",
+            )
+
+        try:
+            paid = await upstream_instance.check_topup_status(invoice_id)
+            return {"ok": True, "paid": paid}
+        except Exception as e:
+            logger.error(
+                f"Failed to check top-up status for provider {provider_id}: {e}"
+            )
+            raise HTTPException(status_code=500, detail=str(e))
+
+
+@admin_router.get(
+    "/api/upstream-providers/{provider_id}/balance",
+    dependencies=[Depends(require_admin_api)],
+)
+async def get_provider_balance(provider_id: int) -> dict[str, object]:
+    """Get the current account balance for the upstream provider."""
+    from ..upstream.helpers import _instantiate_provider
+
+    async with create_session() as session:
+        provider = await session.get(UpstreamProviderRow, provider_id)
+        if not provider:
+            raise HTTPException(status_code=404, detail="Provider not found")
+
+        upstream_instance = _instantiate_provider(provider)
+        if not upstream_instance:
+            raise HTTPException(
+                status_code=400, detail="Could not instantiate provider"
+            )
+
+        try:
+            balance_data = await upstream_instance.get_balance()
+            return {"ok": True, "balance_data": balance_data}
+        except NotImplementedError as e:
+            raise HTTPException(
+                status_code=400,
+                detail=f"Provider does not support balance checking: {str(e)}",
+            )
+        except Exception as e:
+            logger.error(f"Failed to fetch balance for provider {provider_id}: {e}")
+            raise HTTPException(status_code=500, detail=str(e))
+
+
 @admin_router.get(
     "/api/openrouter-presets",
     dependencies=[Depends(require_admin_api)],

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/cost_caculation.py

@@ -1,7 +1,4 @@
-import base64
 import math
-import struct
-from typing import Optional
 
 from pydantic.v1 import BaseModel
 
@@ -28,163 +25,8 @@ class CostDataError(BaseModel):
     code: str
 
 
-def get_image_resolution_from_data_url(data_url: str) -> Optional[tuple[int, int]]:
-    """
-    Extract image resolution (width, height) from a base64 data URL without DOM.
-    Supports PNG and JPEG. Returns None if format unsupported or parsing fails.
-    """
-    try:
-        if not isinstance(data_url, str) or not data_url.startswith("data:"):
-            return None
-
-        comma_idx = data_url.find(",")
-        if comma_idx == -1:
-            return None
-
-        meta = data_url[5:comma_idx]  # e.g. "image/png;base64"
-        base64_data = data_url[comma_idx + 1:]
-
-        # Decode base64 to binary
-        try:
-            binary_data = base64.b64decode(base64_data)
-        except Exception:
-            return None
-
-        is_png = "image/png" in meta
-        is_jpeg = "image/jpeg" in meta or "image/jpg" in meta
-
-        # PNG: width/height are 4-byte big-endian at offsets 16 and 20
-        if is_png:
-            # Validate PNG signature
-            png_sig = b'\x89PNG\r\n\x1a\n'
-            if not binary_data.startswith(png_sig):
-                return None
-
-            if len(binary_data) < 24:
-                return None
-
-            # Width and height are at bytes 16-19 and 20-23 respectively
-            width = struct.unpack('>I', binary_data[16:20])[0]
-            height = struct.unpack('>I', binary_data[20:24])[0]
-
-            if width > 0 and height > 0:
-                return (width, height)
-            return None
-
-        # JPEG: parse markers to SOF0/SOF2 for dimensions
-        if is_jpeg:
-            offset = 0
-            # JPEG SOI 0xFFD8
-            if len(binary_data) < 2 or binary_data[0] != 0xFF or binary_data[1] != 0xD8:
-                return None
-            offset = 2
-
-            while offset < len(binary_data):
-                # Find marker
-                while offset < len(binary_data) and binary_data[offset] != 0xFF:
-                    offset += 1
-                if offset + 1 >= len(binary_data):
-                    break
-
-                # Skip fill bytes 0xFF
-                while offset < len(binary_data) and binary_data[offset] == 0xFF:
-                    offset += 1
-                if offset >= len(binary_data):
-                    break
-
-                marker = binary_data[offset]
-                offset += 1
-
-                # Standalone markers without length
-                if marker == 0xD8 or marker == 0xD9:  # SOI/EOI
-                    continue
-
-                if offset + 1 >= len(binary_data):
-                    break
-
-                length = (binary_data[offset] << 8) | binary_data[offset + 1]
-                offset += 2
-
-                # SOF0 (0xC0) or SOF2 (0xC2) contain dimensions
-                if marker == 0xC0 or marker == 0xC2:
-                    if length < 7 or offset + length - 2 > len(binary_data):
-                        return None
-                    # Skip precision byte
-                    height = (binary_data[offset + 1] << 8) | binary_data[offset + 2]
-                    width = (binary_data[offset + 3] << 8) | binary_data[offset + 4]
-                    if width > 0 and height > 0:
-                        return (width, height)
-                    return None
-                else:
-                    # Skip this segment
-                    offset += length - 2
-
-            return None
-
-        # Unsupported formats (e.g., webp/gif) - skip for now
-        return None
-    except Exception:
-        return None
-
-
-def calculate_image_tokens_from_messages(messages: list) -> int:
-    """
-    Calculate image tokens from messages using 32px patch method.
-    """
-    image_tokens = 0
-
-    try:
-        for msg in messages:
-            content = msg.get("content")
-            if isinstance(content, list):
-                for part in content:
-                    if (isinstance(part, dict) and
-                        part.get("type") == "image_url"):
-
-                        image_url = part.get("image_url")
-                        url: Optional[str] = None
-                        if isinstance(image_url, str):
-                            url = image_url
-                        elif isinstance(image_url, dict):
-                            url = image_url.get("url")
-                        else:
-                            continue
-
-                        # Expecting a base64 data URL for local image inputs
-                        if url and isinstance(url, str) and url.startswith("data:"):
-                            resolution = get_image_resolution_from_data_url(url)
-                            if resolution:
-                                width, height = resolution
-                                patch_size = 32
-                                patches_w = (width + patch_size - 1) // patch_size
-                                patches_h = (height + patch_size - 1) // patch_size
-                                tokens_from_image = patches_w * patches_h
-                                image_tokens += tokens_from_image
-
-                                logger.debug(
-                                    "Calculated image tokens",
-                                    extra={
-                                        "width": width,
-                                        "height": height,
-                                        "tokens_from_image": tokens_from_image,
-                                    }
-                                )
-                            else:
-                                logger.warning(
-                                    "Could not determine image resolution",
-                                    extra={"url_prefix": url[:50] + "..." if len(url) > 50 else url}
-                                )
-    except Exception as e:
-        logger.error(
-            "Error calculating image tokens",
-            extra={"error": str(e), "error_type": type(e).__name__}
-        )
-
-    return image_tokens
-
-
 async def calculate_cost(  # todo: can be sync
-    response_data: dict, max_cost: int, session: AsyncSession, request_data: Optional[dict] = None
+    response_data: dict, max_cost: int, session: AsyncSession
 ) -> CostData | MaxCostData | CostDataError:
     """
     Calculate the cost of an API request based on token usage.
@@ -192,8 +34,6 @@ async def calculate_cost(  # todo: can be sync
     Args:
         response_data: Response data containing usage information
         max_cost: Maximum cost in millisats
-        session: Database session
-        request_data: Original request data containing messages (for image token calculation)
 
     Returns:
         Cost data or error information
@@ -292,28 +132,14 @@ async def calculate_cost(  # todo: can be sync
     input_tokens = response_data.get("usage", {}).get("prompt_tokens", 0)
     output_tokens = response_data.get("usage", {}).get("completion_tokens", 0)
 
-    # Calculate image tokens from request data if available
-    image_tokens = 0
-    if request_data and "messages" in request_data:
-        image_tokens = calculate_image_tokens_from_messages(request_data["messages"])
-        logger.debug(
-            "Image tokens calculated",
-            extra={"image_tokens": image_tokens, "text_input_tokens": input_tokens}
-        )
-
-    # Add image tokens to input tokens for cost calculation
-    total_input_tokens = input_tokens + image_tokens
-
-    input_msats = round(total_input_tokens / 1000 * MSATS_PER_1K_INPUT_TOKENS, 3)
+    input_msats = round(input_tokens / 1000 * MSATS_PER_1K_INPUT_TOKENS, 3)
     output_msats = round(output_tokens / 1000 * MSATS_PER_1K_OUTPUT_TOKENS, 3)
     token_based_cost = math.ceil(input_msats + output_msats)
 
     logger.info(
         "Calculated token-based cost",
         extra={
-            "text_input_tokens": input_tokens,
-            "image_tokens": image_tokens,
-            "total_input_tokens": total_input_tokens,
+            "input_tokens": input_tokens,
             "output_tokens": output_tokens,
             "input_cost_msats": input_msats,
             "output_cost_msats": output_msats,

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 +1,33 @@
 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 .ppqai import PPQAIUpstreamProvider
+from .xai import XAIUpstreamProvider
+
+upstream_provider_classes: list[type[BaseUpstreamProvider]] = [
+    AnthropicUpstreamProvider,
+    AzureUpstreamProvider,
+    FireworksUpstreamProvider,
+    GenericUpstreamProvider,
+    GroqUpstreamProvider,
+    OllamaUpstreamProvider,
+    OpenAIUpstreamProvider,
+    OpenRouterUpstreamProvider,
+    PerplexityUpstreamProvider,
+    PPQAIUpstreamProvider,
+    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

@@ -1,18 +1,24 @@
 from __future__ import annotations
 
+import asyncio
 import json
 import re
 import traceback
 from collections.abc import AsyncGenerator
-from typing import Mapping, Optional
+from typing import TYPE_CHECKING, Mapping
 
 import httpx
 from fastapi import BackgroundTasks, HTTPException, Request
 from fastapi.responses import Response, StreamingResponse
+from pydantic import BaseModel
 
 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,
@@ -32,12 +38,26 @@ from ..wallet import recieve_token, send_token
 logger = get_logger(__name__)
 
 
+class TopupData(BaseModel):
+    """Universal top-up data schema for Lightning Network invoices."""
+
+    invoice_id: str
+    payment_request: str
+    amount: int
+    currency: str
+    expires_at: int | None = None
+    checkout_url: str | None = None
+
+
 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 +76,42 @@ 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, can_create_account, can_topup, can_show_balance
+        """
+        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,
+            "can_create_account": False,
+            "can_topup": False,
+            "can_show_balance": False,
+        }
+
     def prepare_headers(self, request_headers: dict) -> dict:
         """Prepare headers for upstream request by removing proxy-specific headers and adding authentication.
 
@@ -162,7 +218,7 @@ 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 +227,7 @@ 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,
                 },
             )
 
@@ -875,14 +931,13 @@ class BaseUpstreamProvider:
                 )
 
     async def get_x_cashu_cost(
-        self, response_data: dict, max_cost_for_model: int, request_data: Optional[dict] = None
+        self, response_data: dict, max_cost_for_model: int
     ) -> MaxCostData | CostData | None:
         """Calculate cost for X-Cashu payment based on response data.
 
         Args:
             response_data: Response data containing model and usage information
             max_cost_for_model: Maximum cost for the model
-            request_data: Original request data containing messages (for image token calculation)
 
         Returns:
             Cost data object (MaxCostData or CostData) or None if calculation fails
@@ -894,7 +949,7 @@ class BaseUpstreamProvider:
         )
 
         async with create_session() as session:
-            match await calculate_cost(response_data, max_cost_for_model, session, request_data):
+            match await calculate_cost(response_data, max_cost_for_model, session):
                 case MaxCostData() as cost:
                     logger.debug(
                         "Using max cost pricing",
@@ -1018,7 +1073,6 @@ class BaseUpstreamProvider:
         unit: str,
         max_cost_for_model: int,
         mint: str | None = None,
-        request_data: Optional[dict] = None,
     ) -> StreamingResponse:
         """Handle streaming response for X-Cashu payment, calculating refund if needed.
 
@@ -1077,7 +1131,7 @@ class BaseUpstreamProvider:
             response_data = {"usage": usage_data, "model": model}
             try:
                 cost_data = await self.get_x_cashu_cost(
-                    response_data, max_cost_for_model, request_data
+                    response_data, max_cost_for_model
                 )
                 if cost_data:
                     if unit == "msat":
@@ -1152,7 +1206,6 @@ class BaseUpstreamProvider:
         unit: str,
         max_cost_for_model: int,
         mint: str | None = None,
-        request_data: Optional[dict] = None,
     ) -> Response:
         """Handle non-streaming response for X-Cashu payment, calculating refund if needed.
 
@@ -1173,7 +1226,7 @@ class BaseUpstreamProvider:
 
         try:
             response_json = json.loads(content_str)
-            cost_data = await self.get_x_cashu_cost(response_json, max_cost_for_model, request_data)
+            cost_data = await self.get_x_cashu_cost(response_json, max_cost_for_model)
 
             if not cost_data:
                 logger.error(
@@ -1283,7 +1336,6 @@ class BaseUpstreamProvider:
         unit: str,
         max_cost_for_model: int,
         mint: str | None = None,
-        request_data: Optional[dict] = None,
     ) -> StreamingResponse | Response:
         """Handle chat completion response for X-Cashu payment, detecting streaming vs non-streaming.
 
@@ -1320,11 +1372,11 @@ class BaseUpstreamProvider:
 
             if is_streaming:
                 return await self.handle_x_cashu_streaming_response(
-                    content_str, response, amount, unit, max_cost_for_model, mint, request_data
+                    content_str, response, amount, unit, max_cost_for_model, mint
                 )
             else:
                 return await self.handle_x_cashu_non_streaming_response(
-                    content_str, response, amount, unit, max_cost_for_model, mint, request_data
+                    content_str, response, amount, unit, max_cost_for_model, mint
                 )
 
         except Exception as e:
@@ -1376,17 +1428,6 @@ class BaseUpstreamProvider:
         request_body = await request.body()
         transformed_body = self.prepare_request_body(request_body, model_obj)
 
-        # Parse request data for image token calculation
-        request_data = None
-        try:
-            if request_body:
-                request_data = json.loads(request_body.decode('utf-8'))
-        except Exception as e:
-            logger.warning(
-                "Could not parse request body for image token calculation",
-                extra={"error": str(e)}
-            )
-
         logger.debug(
             "Forwarding request to upstream",
             extra={
@@ -1472,7 +1513,7 @@ class BaseUpstreamProvider:
                     )
 
                     result = await self.handle_x_cashu_chat_completion(
-                        response, amount, unit, max_cost_for_model, mint, request_data
+                        response, amount, unit, max_cost_for_model, mint
                     )
                     background_tasks = BackgroundTasks()
                     background_tasks.add_task(response.aclose)
@@ -1672,8 +1713,96 @@ 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."""
@@ -1691,12 +1820,12 @@ 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__},
             )
 
@@ -1718,3 +1847,59 @@ class BaseUpstreamProvider:
             Model object or None if not found
         """
         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).
+
+        Returns:
+            Dict with account creation details including api_key
+
+        Raises:
+            NotImplementedError: If provider does not support account creation
+        """
+        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.
+
+        Returns:
+            Dict with account creation details including api_key
+
+        Raises:
+            NotImplementedError: If provider does not support account creation
+        """
+        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.
+
+        Args:
+            amount: Amount in currency units to top up
+
+        Returns:
+            TopupData with standardized invoice information
+
+        Raises:
+            NotImplementedError: If provider does not support top-up
+        """
+        raise NotImplementedError(
+            f"Provider {self.provider_type} does not support top-up"
+        )
+
+    async def get_balance(self) -> dict[str, object]:
+        """Get the current account balance from the provider.
+
+        Returns:
+            Dict with balance information
+
+        Raises:
+            NotImplementedError: If provider does not support balance checking
+        """
+        raise NotImplementedError(
+            f"Provider {self.provider_type} does not support balance checking"
+        )

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/ppqai.py

@@ -0,0 +1,409 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import httpx
+from pydantic import BaseModel
+
+from ..core.logging import get_logger
+from ..payment.models import Architecture, Model, Pricing, async_fetch_openrouter_models
+from .base import BaseUpstreamProvider, TopupData
+
+if TYPE_CHECKING:
+    from ..core.db import UpstreamProviderRow
+
+logger = get_logger(__name__)
+
+
+class PPQAIModelPricing(BaseModel):
+    ui: dict[str, float]
+    api: dict[str, float]
+
+
+class PPQAIModel(BaseModel):
+    id: str
+    provider: str
+    name: str
+    created_at: int
+    context_length: int
+    pricing: PPQAIModelPricing
+    popular: bool
+
+
+class PPQAIUpstreamProvider(BaseUpstreamProvider):
+    """Upstream provider for PPQ.AI API with Lightning Network top-up support."""
+
+    provider_type = "ppqai"
+    default_base_url = "https://api.ppq.ai"
+    platform_url = "https://ppq.ai/api-docs"
+
+    def __init__(self, api_key: str, provider_fee: float = 1.0):
+        super().__init__(
+            base_url=self.default_base_url, api_key=api_key, provider_fee=provider_fee
+        )
+
+    @classmethod
+    def from_db_row(
+        cls, provider_row: "UpstreamProviderRow"
+    ) -> "PPQAIUpstreamProvider":
+        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": "PPQ.AI",
+            "default_base_url": cls.default_base_url,
+            "fixed_base_url": True,
+            "platform_url": cls.platform_url,
+            "can_create_account": True,
+            "can_topup": True,
+            "can_show_balance": True,
+        }
+
+    def transform_model_name(self, model_id: str) -> str:
+        return model_id
+
+    @classmethod
+    async def create_account_static(cls) -> dict[str, object]:
+        """Create a new PPQ.AI account without requiring an instance.
+
+        Returns:
+            Dict containing 'credit_id' and 'api_key' for the new account.
+
+        Raises:
+            httpx.HTTPStatusError: If the API request fails.
+        """
+        url = f"{cls.default_base_url}/accounts/create"
+
+        logger.info("Creating new PPQ.AI account", extra={"url": url})
+
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.post(url)
+            response.raise_for_status()
+            account_data = response.json()
+
+            logger.info(
+                "Successfully created PPQ.AI account",
+                extra={
+                    "credit_id": account_data.get("credit_id"),
+                    "has_api_key": bool(account_data.get("api_key")),
+                },
+            )
+
+            return account_data
+
+    async def fetch_models(self) -> list[Model]:
+        """Fetch models from PPQ.AI API."""
+        url = f"{self.base_url}/models"
+        headers = {"Authorization": f"Bearer {self.api_key}"}
+
+        logger.debug(
+            "Fetching models from PPQ.AI",
+            extra={"url": url, "has_api_key": bool(self.api_key)},
+        )
+
+        try:
+            async with httpx.AsyncClient(timeout=30.0) as client:
+                response = await client.get(url, headers=headers)
+                response.raise_for_status()
+                data = response.json()
+
+                models_data = data.get("data", [])
+                logger.info(
+                    "Fetched models from PPQ.AI",
+                    extra={"model_count": len(models_data)},
+                )
+
+                or_models = [
+                    Model(**model)  # type: ignore
+                    for model in await async_fetch_openrouter_models()
+                ]
+
+                models = []
+                for model_data in models_data:
+                    try:
+                        ppqai_model = PPQAIModel.parse_obj(model_data)
+                        or_model = next(
+                            (
+                                model
+                                for model in or_models
+                                if model.id == ppqai_model.id
+                            ),
+                            None,
+                        )
+
+                        if or_model:
+                            if input_price := ppqai_model.pricing.api.get(
+                                "input_per_1M"
+                            ):
+                                or_model.pricing.prompt = input_price / 1_000_000
+                            if output_price := ppqai_model.pricing.api.get(
+                                "output_per_1M"
+                            ):
+                                or_model.pricing.completion = output_price / 1_000_000
+                            if cl := ppqai_model.context_length:
+                                or_model.context_length = cl
+                            models.append(or_model)
+                        else:
+                            input_price = ppqai_model.pricing.api.get(
+                                "input_per_1M", 0.0
+                            )
+                            output_price = ppqai_model.pricing.api.get(
+                                "output_per_1M", 0.0
+                            )
+
+                            models.append(
+                                Model(
+                                    id=ppqai_model.id,
+                                    name=ppqai_model.name,
+                                    created=ppqai_model.created_at // 1000,
+                                    description=f"{ppqai_model.provider} model",
+                                    context_length=ppqai_model.context_length,
+                                    architecture=Architecture(
+                                        modality="text->text",
+                                        input_modalities=["text"],
+                                        output_modalities=["text"],
+                                        tokenizer="Unknown",
+                                        instruct_type=None,
+                                    ),
+                                    pricing=Pricing(
+                                        prompt=input_price / 1_000_000,
+                                        completion=output_price / 1_000_000,
+                                        request=0.0,
+                                        image=0.0,
+                                        web_search=0.0,
+                                        internal_reasoning=0.0,
+                                    ),
+                                )
+                            )
+                    except Exception as e:
+                        logger.warning(
+                            "Failed to parse PPQ.AI model",
+                            extra={
+                                "model_id": model_data.get("id", "unknown"),
+                                "error": str(e),
+                                "error_type": type(e).__name__,
+                            },
+                        )
+
+                return models
+
+        except httpx.HTTPStatusError as e:
+            logger.error(
+                "HTTP error fetching models from PPQ.AI",
+                extra={
+                    "status_code": e.response.status_code,
+                    "error": str(e),
+                },
+            )
+            return []
+        except Exception as e:
+            logger.error(
+                "Error fetching models from PPQ.AI",
+                extra={"error": str(e), "error_type": type(e).__name__},
+            )
+            return []
+
+    async def create_account(self) -> dict[str, object]:
+        """Create a new PPQ.AI account.
+
+        Returns:
+            Dict containing 'credit_id' and 'api_key' for the new account.
+
+        Raises:
+            httpx.HTTPStatusError: If the API request fails.
+        """
+        url = f"{self.base_url}/accounts/create"
+
+        logger.info("Creating new PPQ.AI account", extra={"url": url})
+
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.post(url)
+            response.raise_for_status()
+            account_data = response.json()
+
+            logger.info(
+                "Successfully created PPQ.AI account",
+                extra={
+                    "credit_id": account_data.get("credit_id"),
+                    "has_api_key": bool(account_data.get("api_key")),
+                },
+            )
+
+            return account_data
+
+    async def create_lightning_topup(
+        self, amount: int, currency: str
+    ) -> dict[str, object]:
+        """Create a Lightning Network top-up invoice for this account.
+
+        Args:
+            amount: Amount to top up (in the specified currency)
+            currency: Currency for the top-up (default: "USD")
+
+        Returns:
+            Dict containing invoice details including 'invoice_id', 'payment_request', etc.
+
+        Raises:
+            httpx.HTTPStatusError: If the API request fails.
+        """
+        url = f"{self.base_url}/topup/create/btc-lightning"
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json",
+        }
+        payload = {"amount": amount, "currency": currency}
+
+        logger.info(
+            "Creating Lightning top-up invoice",
+            extra={"url": url, "amount": amount, "currency": currency},
+        )
+
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            print(f"Payload: {payload}", "sending to", url)
+            response = await client.post(url, headers=headers, json=payload)
+            response.raise_for_status()
+            invoice_data = response.json()
+
+            logger.info(
+                "Successfully created Lightning top-up invoice",
+                extra={
+                    "invoice_id": invoice_data.get("invoice_id"),
+                    "amount": amount,
+                    "currency": currency,
+                },
+            )
+
+            return invoice_data
+
+    async def check_topup_status(self, invoice_id: str) -> bool:
+        """Check the status of a Lightning top-up invoice.
+
+        Args:
+            invoice_id: The invoice ID to check
+
+        Returns:
+            True if the invoice is paid (status == "Settled"), False otherwise
+
+        Raises:
+            httpx.HTTPStatusError: If the API request fails.
+        """
+        url = f"{self.base_url}/topup/status/{invoice_id}"
+        headers = {"Authorization": f"Bearer {self.api_key}"}
+
+        logger.debug(
+            "Checking Lightning top-up status",
+            extra={"url": url, "invoice_id": invoice_id},
+        )
+
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.get(url, headers=headers)
+            response.raise_for_status()
+            status_data = response.json()
+
+            is_paid = status_data.get("status") == "Settled"
+
+            logger.debug(
+                "Retrieved Lightning top-up status",
+                extra={
+                    "invoice_id": invoice_id,
+                    "status": status_data.get("status"),
+                    "is_paid": is_paid,
+                },
+            )
+
+            return is_paid
+
+    async def initiate_topup(self, amount: int) -> TopupData:
+        """Initiate a Lightning Network top-up for the PPQ.AI account.
+
+        Args:
+            amount: Amount in currency units to top up (will be sent to PPQ.AI API)
+
+        Returns:
+            TopupData with standardized invoice information
+
+        Raises:
+            httpx.HTTPStatusError: If the API request fails
+        """
+        ppq_response = await self.create_lightning_topup(amount, "USD")
+
+        logger.info(
+            "PPQ.AI top-up response",
+            extra={
+                "ppq_response": ppq_response,
+                "invoice_id": ppq_response.get("invoice_id"),
+                "has_lightning_invoice": "lightning_invoice" in ppq_response,
+            },
+        )
+
+        expires_at_value = ppq_response.get("expires_at")
+        checkout_url_value = ppq_response.get("checkout_url")
+
+        topup_data = TopupData(
+            invoice_id=str(ppq_response["invoice_id"]),
+            payment_request=str(ppq_response["lightning_invoice"]),
+            amount=int(ppq_response["amount"])
+            if isinstance(ppq_response["amount"], (int, float, str))
+            else 0,
+            currency=str(ppq_response["currency"]),
+            expires_at=int(expires_at_value)
+            if isinstance(expires_at_value, (int, float, str))
+            and expires_at_value is not None
+            else None,
+            checkout_url=str(checkout_url_value)
+            if checkout_url_value is not None
+            else None,
+        )
+
+        logger.info(
+            "Created TopupData",
+            extra={
+                "invoice_id": topup_data.invoice_id,
+                "payment_request_length": len(topup_data.payment_request),
+                "amount": topup_data.amount,
+            },
+        )
+
+        return topup_data
+
+    async def get_balance(self) -> dict[str, object]:
+        """Get the current account balance from PPQ.AI.
+
+        Returns:
+            Dict with balance information
+
+        Raises:
+            httpx.HTTPStatusError: If the API request fails
+        """
+        return await self.check_balance()
+
+    async def check_balance(self) -> dict[str, object]:
+        """Check the account balance for this PPQ.AI account.
+
+        Returns:
+            Dict containing balance information
+
+        Raises:
+            httpx.HTTPStatusError: If the API request fails.
+        """
+        url = f"{self.base_url}/credits/balance"
+        headers = {"Authorization": f"Bearer {self.api_key}"}
+
+        logger.debug("Checking PPQ.AI account balance", extra={"url": url})
+
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.post(url, headers=headers, json={})
+            response.raise_for_status()
+            balance_data = response.json()
+
+            logger.debug(
+                "Retrieved PPQ.AI account balance",
+                extra={"balance": balance_data.get("balance")},
+            )
+
+            return balance_data

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

@@ -51,9 +51,282 @@ import {
 } from '@/components/ui/select';
 import { Switch } from '@/components/ui/switch';
 import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
-import { useState } from 'react';
+import { useState, useEffect } from 'react';
 import { toast } from 'sonner';
 
+function ProviderBalance({ providerId }: { providerId: number }) {
+  const [isTopupDialogOpen, setIsTopupDialogOpen] = useState(false);
+  const [topupAmount, setTopupAmount] = useState('');
+  const [topupError, setTopupError] = useState('');
+  const [isHovered, setIsHovered] = useState(false);
+  const [invoiceData, setInvoiceData] = useState<{
+    payment_request: string;
+    invoice_id: string;
+  } | null>(null);
+  const [paymentStatus, setPaymentStatus] = useState<'pending' | 'paid' | null>(
+    null
+  );
+  const queryClient = useQueryClient();
+
+  const { data: balanceData, isLoading, error } = useQuery({
+    queryKey: ['provider-balance', providerId],
+    queryFn: () => AdminService.getProviderBalance(providerId),
+    refetchInterval: 30000,
+    refetchOnWindowFocus: true,
+    retry: 1,
+  });
+
+  const { data: statusData } = useQuery({
+    queryKey: ['topup-status', providerId, invoiceData?.invoice_id],
+    queryFn: () =>
+      AdminService.checkTopupStatus(providerId, invoiceData!.invoice_id),
+    enabled: !!invoiceData && paymentStatus === 'pending',
+    refetchInterval: 2000,
+  });
+
+  useEffect(() => {
+    if (statusData?.paid === true) {
+      setPaymentStatus('paid');
+      queryClient.invalidateQueries({
+        queryKey: ['provider-balance', providerId],
+      });
+      toast.success('Payment received!', {
+        description: 'Your balance has been updated.',
+      });
+    }
+  }, [statusData, queryClient, providerId]);
+
+  const topupMutation = useMutation({
+    mutationFn: async (amount: number) => {
+      console.log('Calling top-up API with:', { providerId, amount });
+      try {
+        const result = await AdminService.initiateProviderTopup(providerId, amount);
+        console.log('API returned:', result);
+        return result;
+      } catch (err) {
+        console.error('API call failed:', err);
+        throw err;
+      }
+    },
+    onSuccess: (data) => {
+      console.log('Top-up response:', data);
+      console.log('Type of data:', typeof data);
+      console.log('Keys in data:', Object.keys(data || {}));
+      
+      if (
+        data?.topup_data?.payment_request &&
+        data?.topup_data?.invoice_id
+      ) {
+        setInvoiceData({
+          payment_request: data.topup_data.payment_request as string,
+          invoice_id: data.topup_data.invoice_id as string,
+        });
+        setPaymentStatus('pending');
+      } else {
+        console.error('Missing invoice data:', data);
+        console.error('topup_data:', data?.topup_data);
+        toast.error('No invoice returned from provider');
+        setIsTopupDialogOpen(false);
+      }
+    },
+    onError: (error: Error) => {
+      console.error('Top-up mutation error:', error);
+      toast.error(`Failed to initiate top-up: ${error.message}`);
+    },
+  });
+
+  const handleTopup = () => {
+    const amount = parseFloat(topupAmount);
+
+    if (isNaN(amount)) {
+      setTopupError('Please enter a valid amount');
+      return;
+    }
+
+    if (amount < 1 || amount > 500) {
+      setTopupError('Amount must be between $1 and $500');
+      return;
+    }
+
+    topupMutation.mutate(amount);
+  };
+
+  const handleCloseDialog = () => {
+    setIsTopupDialogOpen(false);
+    setTopupAmount('');
+    setTopupError('');
+    setInvoiceData(null);
+    setPaymentStatus(null);
+  };
+
+  if (isLoading) {
+    return <Skeleton className='h-9 w-24' />;
+  }
+
+  if (error || !balanceData?.ok || !balanceData.balance_data) {
+    return null;
+  }
+
+  const balance = balanceData.balance_data;
+  let displayValue = 'N/A';
+
+  if (typeof balance.balance === 'number') {
+    displayValue = `$${balance.balance.toFixed(2)}`;
+  } else if (typeof balance.balance === 'string') {
+    displayValue = balance.balance;
+  } else if (balance.amount !== undefined) {
+    displayValue = `$${Number(balance.amount).toFixed(2)}`;
+  }
+
+  return (
+    <>
+      <Button
+        variant='outline'
+        size='sm'
+        onClick={() => setIsTopupDialogOpen(true)}
+        onMouseEnter={() => setIsHovered(true)}
+        onMouseLeave={() => setIsHovered(false)}
+        className='w-full font-mono sm:w-auto'
+      >
+        {isHovered ? 'Top Up' : displayValue}
+      </Button>
+
+      <Dialog open={isTopupDialogOpen} onOpenChange={handleCloseDialog}>
+        <DialogContent className='sm:max-w-md'>
+          <DialogHeader>
+            <DialogTitle>
+              {paymentStatus === 'paid'
+                ? 'Payment Confirmed!'
+                : 'Top Up Balance'}
+            </DialogTitle>
+            <DialogDescription>
+              {paymentStatus === 'paid'
+                ? 'Your account balance has been updated.'
+                : invoiceData
+                  ? 'Scan the QR code or copy the Lightning invoice to pay.'
+                  : 'Enter the amount you want to add to your account balance.'}
+            </DialogDescription>
+          </DialogHeader>
+
+          {paymentStatus === 'paid' ? (
+            <div className='flex flex-col items-center gap-4 py-6'>
+              <div className='rounded-full bg-green-100 p-3 dark:bg-green-900'>
+                <svg
+                  className='h-12 w-12 text-green-600 dark:text-green-400'
+                  fill='none'
+                  strokeLinecap='round'
+                  strokeLinejoin='round'
+                  strokeWidth='2'
+                  viewBox='0 0 24 24'
+                  stroke='currentColor'
+                >
+                  <path d='M5 13l4 4L19 7'></path>
+                </svg>
+              </div>
+              <p className='text-center font-semibold'>
+                Top-up successful!
+              </p>
+            </div>
+          ) : invoiceData ? (
+            <div className='flex flex-col items-center gap-4 py-4'>
+              <div className='rounded-lg border-2 border-gray-200 p-2 dark:border-gray-800'>
+                {/* eslint-disable-next-line @next/next/no-img-element */}
+                <img
+                  src={`https://api.qrserver.com/v1/create-qr-code/?size=256x256&data=${encodeURIComponent(invoiceData.payment_request)}`}
+                  alt='Lightning Invoice QR Code'
+                  className='h-64 w-64'
+                />
+              </div>
+              <div className='w-full space-y-2'>
+                <Label htmlFor='invoice'>Lightning Invoice</Label>
+                <div className='flex gap-2'>
+                  <Input
+                    id='invoice'
+                    value={invoiceData.payment_request}
+                    readOnly
+                    className='font-mono text-xs'
+                  />
+                  <Button
+                    size='sm'
+                    variant='outline'
+                    onClick={() => {
+                      navigator.clipboard.writeText(
+                        invoiceData.payment_request
+                      );
+                      toast.success('Invoice copied to clipboard!');
+                    }}
+                  >
+                    Copy
+                  </Button>
+                </div>
+              </div>
+              {paymentStatus === 'pending' && (
+                <p className='text-muted-foreground text-center text-sm'>
+                  Waiting for payment...
+                </p>
+              )}
+            </div>
+          ) : (
+            <div className='grid gap-4 py-4'>
+              <div className='grid gap-2'>
+                <Label htmlFor='topup_amount'>Amount (USD)</Label>
+                <Input
+                  id='topup_amount'
+                  type='number'
+                  placeholder='Enter amount (1-500)'
+                  value={topupAmount}
+                  onChange={(e) => {
+                    setTopupAmount(e.target.value);
+                    setTopupError('');
+                  }}
+                  min='1'
+                  max='500'
+                  step='0.01'
+                />
+                {topupError && (
+                  <p className='text-sm text-red-600 dark:text-red-400'>
+                    {topupError}
+                  </p>
+                )}
+              </div>
+            </div>
+          )}
+
+          <DialogFooter>
+            {paymentStatus === 'paid' ? (
+              <Button onClick={handleCloseDialog} className='w-full'>
+                Done
+              </Button>
+            ) : invoiceData ? (
+              <Button
+                variant='outline'
+                onClick={handleCloseDialog}
+                className='w-full'
+              >
+                Cancel
+              </Button>
+            ) : (
+              <>
+                <Button variant='outline' onClick={handleCloseDialog}>
+                  Cancel
+                </Button>
+                <Button
+                  onClick={handleTopup}
+                  disabled={topupMutation.isPending || !topupAmount}
+                >
+                  {topupMutation.isPending
+                    ? 'Processing...'
+                    : 'Generate Invoice'}
+                </Button>
+              </>
+            )}
+          </DialogFooter>
+        </DialogContent>
+      </Dialog>
+    </>
+  );
+}
+
 export default function ProvidersPage() {
   const queryClient = useQueryClient();
   const [editingProvider, setEditingProvider] =
@@ -64,6 +337,7 @@ export default function ProvidersPage() {
     new Set()
   );
   const [viewingModels, setViewingModels] = useState<number | null>(null);
+  const [isCreatingAccount, setIsCreatingAccount] = useState(false);
 
   const [formData, setFormData] = useState<CreateUpstreamProvider>({
     provider_type: 'openrouter',
@@ -138,6 +412,30 @@ export default function ProvidersPage() {
     },
   });
 
+  const handleCreateAccount = async () => {
+    setIsCreatingAccount(true);
+    try {
+      const response = await AdminService.createProviderAccountByType(
+        formData.provider_type
+      );
+      if (response.ok && response.account_data.api_key) {
+        setFormData({
+          ...formData,
+          api_key: String(response.account_data.api_key),
+        });
+        toast.success('Account created successfully! API key has been filled in.');
+      } else {
+        toast.success('Account created, but no API key returned.');
+      }
+    } catch (error: unknown) {
+      const errorMessage =
+        error instanceof Error ? error.message : 'Unknown error';
+      toast.error(`Failed to create account: ${errorMessage}`);
+    } finally {
+      setIsCreatingAccount(false);
+    }
+  };
+
   const resetForm = () => {
     setFormData({
       provider_type: 'openrouter',
@@ -194,6 +492,21 @@ 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 canCreateAccount = (type: string) => {
+    const providerType = providerTypes.find((pt) => pt.id === type);
+    return providerType?.can_create_account || false;
+  };
+
+  const canShowBalance = (type: string) => {
+    const providerType = providerTypes.find((pt) => pt.id === type);
+    return providerType?.can_show_balance || false;
+  };
+
   const toggleProviderExpansion = (providerId: number) => {
     const newExpanded = new Set(expandedProviders);
     if (newExpanded.has(providerId)) {
@@ -285,7 +598,34 @@ 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>
+                        {canCreateAccount(formData.provider_type) ? (
+                          <Button
+                            type='button'
+                            variant='outline'
+                            size='sm'
+                            onClick={handleCreateAccount}
+                            disabled={isCreatingAccount}
+                            className='h-6 text-xs'
+                          >
+                            {isCreatingAccount
+                              ? 'Creating...'
+                              : 'Create Account'}
+                          </Button>
+                        ) : (
+                          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'
@@ -393,7 +733,11 @@ export default function ProvidersPage() {
                             {provider.base_url}
                           </CardDescription>
                         </div>
-                        <div className='grid grid-cols-3 gap-2 sm:flex sm:flex-nowrap'>
+                        <div className='flex flex-wrap items-center gap-2'>
+                          {canShowBalance(provider.provider_type) &&
+                            provider.api_key && (
+                              <ProviderBalance providerId={provider.id} />
+                            )}
                           <Button
                             variant='outline'
                             size='sm'
@@ -694,9 +1038,21 @@ 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/client.ts

@@ -64,6 +64,11 @@ class ApiClient {
         data,
         config
       );
+      console.log(`POST response from ${endpoint}:`, {
+        status: response.status,
+        data: response.data,
+        headers: response.headers,
+      });
       return response.data;
     } catch (error) {
       this.handleAuthError(error);

ui/lib/api/services/admin.ts

@@ -6,6 +6,10 @@ export const ProviderTypeSchema = z.object({
   name: z.string(),
   default_base_url: z.string(),
   fixed_base_url: z.boolean(),
+  platform_url: z.string().nullable(),
+  can_create_account: z.boolean(),
+  can_topup: z.boolean(),
+  can_show_balance: z.boolean(),
 });
 
 export const UpstreamProviderSchema = z.object({
@@ -801,6 +805,54 @@ export class AdminService {
       '/admin/api/temporary-balances'
     );
   }
+
+  static async createProviderAccountByType(
+    providerType: string
+  ): Promise<{
+    ok: boolean;
+    account_data: Record<string, unknown>;
+    message: string;
+  }> {
+    return await apiClient.post<{
+      ok: boolean;
+      account_data: Record<string, unknown>;
+      message: string;
+    }>('/admin/api/upstream-providers/create-account', {
+      provider_type: providerType,
+    });
+  }
+
+  static async initiateProviderTopup(
+    providerId: number,
+    amount: number
+  ): Promise<{ ok: boolean; topup_data: Record<string, unknown>; message: string }> {
+    return await apiClient.post<{
+      ok: boolean;
+      topup_data: Record<string, unknown>;
+      message: string;
+    }>(`/admin/api/upstream-providers/${providerId}/topup`, {
+      amount: amount,
+    });
+  }
+
+  static async checkTopupStatus(
+    providerId: number,
+    invoiceId: string
+  ): Promise<{ ok: boolean; paid: boolean }> {
+    return await apiClient.get<{
+      ok: boolean;
+      paid: boolean;
+    }>(`/admin/api/upstream-providers/${providerId}/topup/${invoiceId}/status`);
+  }
+
+  static async getProviderBalance(
+    providerId: number
+  ): Promise<{ ok: boolean; balance_data: Record<string, unknown> }> {
+    return await apiClient.get<{
+      ok: boolean;
+      balance_data: Record<string, unknown>;
+    }>(`/admin/api/upstream-providers/${providerId}/balance`);
+  }
 }
 
 export const TemporaryBalanceSchema = 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"
   }
-}
+}

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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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