feat: add option to disable testnut mock upstream

#282 more filter options

example.py

@@ -1,37 +0,0 @@
-import os
-
-import openai
-
-client = openai.OpenAI(
-    api_key=os.environ["CASHU_TOKEN"],
-    base_url=os.environ.get("ROUTSTR_API_URL", "https://api.routstr.com/v1"),
-    # base_url="http://roustrjfsdgfiueghsklchg.onion/v1",
-    # client=httpx.AsyncClient(
-    #     proxies={"http": "socks5://localhost:9050"},
-    # ),  # to use onion proxy (tor)
-)
-history: list = []
-
-
-def chat() -> None:
-    while True:
-        user_msg = {"role": "user", "content": input("\nYou: ")}
-        history.append(user_msg)
-        ai_msg = {"role": "assistant", "content": ""}
-
-        for chunk in client.chat.completions.create(
-            model=os.environ.get("MODEL", "openai/gpt-4o-mini"),
-            messages=history,
-            stream=True,
-        ):
-            if len(chunk.choices) > 0:
-                content = chunk.choices[0].delta.content
-                if content is not None:
-                    ai_msg["content"] += content
-                    print(content, end="", flush=True)
-        print()
-        history.append(ai_msg)
-
-
-if __name__ == "__main__":
-    chat()

examples/balance/check_balance.py

@@ -0,0 +1,11 @@
+import os
+
+import httpx
+
+# Use your Cashu token or API key as the Bearer token,
+# cashu token is hashed on the server and acts as an Temporary API key
+headers = {"Authorization": f"Bearer {os.environ.get('TOKEN')}"}
+base_url = os.environ.get("API_URL", "https://api.routstr.com/v1")
+
+resp = httpx.get(f"{base_url}/balance/info", headers=headers)
+print(resp.json())

examples/balance/create_balance.py

@@ -0,0 +1,15 @@
+import os
+
+import httpx
+
+# Send a Cashu token to the /create endpoint to get a persistent API key
+token = os.environ.get("TOKEN")
+if not token:
+    print("Please set TOKEN environment variable with a Cashu token")
+    exit(1)
+
+base_url = os.environ.get("API_URL", "https://api.routstr.com/v1")
+
+resp = httpx.get(f"{base_url}/balance/create", params={"initial_balance_token": token})
+
+print(resp.json())

examples/balance/refund_balance.py

@@ -0,0 +1,12 @@
+import os
+
+import httpx
+
+# Use your Cashu token or API key as the Bearer token
+headers = {"Authorization": f"Bearer {os.environ.get('TOKEN')}"}
+base_url = os.environ.get("API_URL", "https://api.routstr.com/v1")
+
+resp = httpx.post(f"{base_url}/balance/refund", headers=headers)
+
+print("Refund successful!")
+print(resp.json())

examples/balance/topup_balance.py

@@ -0,0 +1,16 @@
+import os
+
+import httpx
+
+# Use your Cashu token or API key as the Bearer token
+headers = {"Authorization": f"Bearer {os.environ.get('TOKEN')}"}
+base_url = os.environ.get("API_URL", "https://api.routstr.com/v1")
+
+# The Cashu token to top up with
+cashu_token = input("Enter Cashu token to top up: ")
+
+resp = httpx.post(
+    f"{base_url}/balance/topup", headers=headers, json={"cashu_token": cashu_token}
+)
+
+print(resp.json())

examples/chat_completions.py

@@ -0,0 +1,15 @@
+import os
+
+from openai import OpenAI
+
+client = OpenAI(
+    api_key=os.environ.get("TOKEN"),
+    base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
+)
+
+response = client.chat.completions.create(
+    model=os.environ.get("MODEL", "gpt-5-nano"),
+    messages=[{"role": "user", "content": "Hello!"}],
+)
+
+print(response.choices[0].message.content)

examples/list_models.py

@@ -0,0 +1,19 @@
+import os
+
+import httpx
+from openai import OpenAI
+
+client = OpenAI(
+    api_key=os.environ.get("TOKEN", ""),
+    base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
+)
+
+for model in client.models.list():
+    print(model.id)
+
+# OR
+
+models = httpx.get(
+    f"{client.base_url}/v1/models",
+    headers={"Authorization": f"Bearer {client.api_key}"},
+).json()

examples/responses/conversation.py

@@ -0,0 +1,31 @@
+import os
+
+from openai import OpenAI
+
+client = OpenAI(
+    api_key=os.environ.get("TOKEN"),
+    base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
+)
+
+conversation = []  # type: ignore
+
+# First turn
+response1 = client.responses.create(  # type: ignore
+    model="o4-mini",
+    input="Hi, my name is Alice.",
+    conversation=conversation,
+)
+print("Response 1:", response1.output)
+
+# Note: The 'conversation' parameter might need to be constructed differently
+# depending on exact SDK/API spec. Typically, you pass back the previous turn's data.
+# Assuming the SDK manages or returns a conversation object/ID:
+# conversation.append(response1)
+
+# Second turn - demonstrating intent, actual implementation depends on strict API spec
+# response2 = client.responses.create(
+#     model="openai/gpt-4o-mini",
+#     input="What is my name?",
+#     conversation=conversation,
+# )
+# print("Response 2:", response2.output)

examples/responses/create.py

@@ -0,0 +1,17 @@
+import os
+
+from openai import OpenAI
+
+# The OpenAI SDK handles the 'responses' endpoint if it's updated to the latest version
+# and the base_url points to a compatible proxy like Routstr.
+client = OpenAI(
+    api_key=os.environ.get("TOKEN"),
+    base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
+)
+
+response = client.responses.create(
+    model="gpt-5-mini",
+    input="Tell me a three sentence bedtime story about a unicorn.",
+)
+
+print(response.output)

examples/responses/streaming_response.py

@@ -0,0 +1,20 @@
+import os
+
+from openai import OpenAI
+
+client = OpenAI(
+    api_key=os.environ.get("TOKEN"),
+    base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
+)
+
+stream = client.responses.create(
+    model="claude-4.5-sonnet",
+    input="Write a short poem about rust.",
+    stream=True,
+)
+
+for event in stream:
+    # Note: Depending on the SDK version and response structure,
+    # you might access event.output_delta or similar fields
+    print(event, end="", flush=True)
+print()

examples/responses/web_search.py

@@ -0,0 +1,16 @@
+import os
+
+from openai import OpenAI
+
+client = OpenAI(
+    api_key=os.environ.get("TOKEN"),
+    base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
+)
+
+response = client.responses.create(
+    model="gpt-5-mini",
+    input="What is the latest news about AI?",
+    tools=[{"type": "web_search"}],  # type: ignore
+)
+
+print(response.output)

examples/streaming.py

@@ -0,0 +1,28 @@
+import os
+
+from openai import OpenAI
+
+client = OpenAI(
+    api_key=os.environ.get("TOKEN"),
+    base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
+)
+
+messages = []
+while True:
+    messages.append({"role": "user", "content": input("\nYou: ")})
+
+    stream = client.chat.completions.create(
+        model=os.environ.get("MODEL", "gpt-5.1-mini"),
+        messages=messages,  # type: ignore
+        stream=True,
+    )
+
+    print("AI: ", end="")
+    response_content = ""
+    for chunk in stream:
+        if content := chunk.choices[0].delta.content:  # type: ignore
+            print(content, end="", flush=True)
+            response_content += content
+    print()
+
+    messages.append({"role": "assistant", "content": response_content})

examples/tor.py

@@ -0,0 +1,20 @@
+import os
+
+import httpx
+from openai import OpenAI
+
+# Requires `pip install "httpx[socks]"` and a running Tor proxy on port 9050
+client = OpenAI(
+    api_key=os.environ.get("TOKEN"),
+    base_url=os.environ.get("ONION_URL", "http://roustrjfsdgfiueghsklchg.onion/v1"),
+    http_client=httpx.Client(proxies="socks5://localhost:9050"),
+)
+
+print(
+    client.chat.completions.create(
+        model="openai/gpt-4o-mini",
+        messages=[{"role": "user", "content": "Hello from Tor!"}],
+    )
+    .choices[0]
+    .message.content
+)

migrations/versions/b9667ffc5701_alias_ids.py

@@ -0,0 +1,37 @@
+"""alias-ids
+
+Revision ID: b9667ffc5701
+Revises: lightning_invoices
+Create Date: 2025-12-25 19:30:44.673350
+"""
+
+import sqlalchemy as sa
+import sqlmodel
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision = "b9667ffc5701"
+down_revision = "lightning_invoices"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic ###
+    op.add_column(
+        "models",
+        sa.Column("canonical_slug", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+    )
+    op.add_column(
+        "models",
+        sa.Column("alias_ids", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+    )
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_column("models", "alias_ids")
+    op.drop_column("models", "canonical_slug")
+    # ### end Alembic commands ###

pyproject.toml

@@ -73,6 +73,7 @@ packages = ["routstr"]
 [tool.ruff.lint]
 select = ["E", "F", "I"]
 ignore = ["E501"]
+exclude = ["examples"]
 
 [tool.mypy]
 python_version = "3.11"

routstr/algorithm.py

@@ -206,19 +206,20 @@ def create_model_mappings(
         alias: str, model: "Model", provider: "BaseUpstreamProvider"
     ) -> None:
         """Set alias to model/provider if not set or if new model is preferred."""
-        existing_model = model_instances.get(alias)
+        alias_lower = alias.lower()
+        existing_model = model_instances.get(alias_lower)
         if not existing_model:
             # No existing mapping, set it
-            model_instances[alias] = model
-            provider_map[alias] = provider
+            model_instances[alias_lower] = model
+            provider_map[alias_lower] = provider
         else:
             # Check if candidate should replace existing
-            existing_provider = provider_map[alias]
+            existing_provider = provider_map[alias_lower]
             if should_prefer_model(
                 model, provider, existing_model, existing_provider, alias
             ):
-                model_instances[alias] = model
-                provider_map[alias] = provider
+                model_instances[alias_lower] = model
+                provider_map[alias_lower] = provider
 
     def process_provider_models(
         upstream: "BaseUpstreamProvider", is_openrouter: bool = False

routstr/core/admin.py

@@ -1493,20 +1493,8 @@ class ModelCreate(BaseModel):
     per_request_limits: dict[str, object] | None = None
     top_provider: dict[str, object] | None = None
     upstream_provider_id: int | None = None
-    enabled: bool = True
-
-
-class ModelUpdate(BaseModel):
-    id: str
-    name: str
-    description: str
-    created: int
-    context_length: int
-    architecture: dict[str, object]
-    pricing: dict[str, object]
-    per_request_limits: dict[str, object] | None = None
-    top_provider: dict[str, object] | None = None
-    upstream_provider_id: int | None = None
+    canonical_slug: str | None = None
+    alias_ids: list[str] | None = None
     enabled: bool = True
 
 
@@ -2416,44 +2404,80 @@ async def admin_upstream_providers(request: Request) -> str:
     "/api/upstream-providers/{provider_id}/models",
     dependencies=[Depends(require_admin_api)],
 )
-async def create_provider_model(
+async def upsert_provider_model(
     provider_id: int, payload: ModelCreate
 ) -> dict[str, object]:
+    print(payload)
+    logger.info(
+        f"UPSERT_PROVIDER_MODEL called: provider_id={provider_id}, model_id={payload.id}"
+    )
     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")
 
-        exists = await session.get(ModelRow, (payload.id, provider_id))
-        if exists:
-            raise HTTPException(
-                status_code=409,
-                detail="Model with this ID already exists for this provider",
-            )
+        # Try to get existing model
+        existing_row = await session.get(ModelRow, (payload.id, provider_id))
 
-        row = ModelRow(
-            id=payload.id,
-            name=payload.name,
-            description=payload.description,
-            created=int(payload.created),
-            context_length=int(payload.context_length),
-            architecture=json.dumps(payload.architecture),
-            pricing=json.dumps(payload.pricing),
-            sats_pricing=None,
-            per_request_limits=(
+        if existing_row:
+            # Update existing model
+            logger.info(f"Updating existing model: {payload.id}")
+            existing_row.name = payload.name
+            existing_row.description = payload.description
+            existing_row.created = int(payload.created)
+            existing_row.context_length = int(payload.context_length)
+            existing_row.architecture = json.dumps(payload.architecture)
+            existing_row.pricing = json.dumps(payload.pricing)
+            existing_row.sats_pricing = None
+            existing_row.per_request_limits = (
                 json.dumps(payload.per_request_limits)
                 if payload.per_request_limits is not None
                 else None
-            ),
-            top_provider=(
+            )
+            existing_row.top_provider = (
                 json.dumps(payload.top_provider) if payload.top_provider else None
-            ),
-            upstream_provider_id=provider_id,
-            enabled=payload.enabled,
-        )
-        session.add(row)
-        await session.commit()
-        await session.refresh(row)
+            )
+            existing_row.canonical_slug = payload.canonical_slug
+            existing_row.alias_ids = (
+                json.dumps(payload.alias_ids) if payload.alias_ids else None
+            )
+            existing_row.enabled = payload.enabled
+
+            session.add(existing_row)
+            await session.commit()
+            await session.refresh(existing_row)
+            row = existing_row
+
+        else:
+            # Create new model
+            logger.info(f"Creating new model: {payload.id}")
+            row = ModelRow(
+                id=payload.id,
+                name=payload.name,
+                description=payload.description,
+                created=int(payload.created),
+                context_length=int(payload.context_length),
+                architecture=json.dumps(payload.architecture),
+                pricing=json.dumps(payload.pricing),
+                sats_pricing=None,
+                per_request_limits=(
+                    json.dumps(payload.per_request_limits)
+                    if payload.per_request_limits is not None
+                    else None
+                ),
+                top_provider=(
+                    json.dumps(payload.top_provider) if payload.top_provider else None
+                ),
+                canonical_slug=payload.canonical_slug,
+                alias_ids=(
+                    json.dumps(payload.alias_ids) if payload.alias_ids else None
+                ),
+                upstream_provider_id=provider_id,
+                enabled=payload.enabled,
+            )
+            session.add(row)
+            await session.commit()
+            await session.refresh(row)
 
     await refresh_model_maps()
     return _row_to_model(
@@ -2461,6 +2485,20 @@ async def create_provider_model(
     ).dict()  # type: ignore
 
 
+@admin_router.patch(
+    "/api/upstream-providers/{provider_id}/models/{model_id:path}",
+    dependencies=[Depends(require_admin_api)],
+)
+async def update_provider_model_legacy(
+    provider_id: int, model_id: str, payload: ModelCreate
+) -> dict[str, object]:
+    """Legacy PATCH endpoint - redirects to upsert POST endpoint for backward compatibility."""
+    logger.info(
+        f"LEGACY_PATCH_UPDATE called: provider_id={provider_id}, model_id={model_id}"
+    )
+    return await upsert_provider_model(provider_id, payload)
+
+
 @admin_router.get(
     "/api/upstream-providers/{provider_id}/models/{model_id:path}",
     dependencies=[Depends(require_admin_api)],
@@ -2481,76 +2519,6 @@ async def get_provider_model(provider_id: int, model_id: str) -> dict[str, objec
         ).dict()  # type: ignore
 
 
-@admin_router.patch(
-    "/api/upstream-providers/{provider_id}/models/{model_id:path}",
-    dependencies=[Depends(require_admin_api)],
-)
-async def update_provider_model(
-    provider_id: int, model_id: str, payload: ModelUpdate
-) -> dict[str, object]:
-    if payload.id != model_id:
-        raise HTTPException(status_code=400, detail="Path id does not match payload id")
-
-    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")
-
-        row = await session.get(ModelRow, (model_id, provider_id))
-        if not row:
-            raise HTTPException(
-                status_code=404, detail="Model not found for this provider"
-            )
-
-        row.name = payload.name
-        row.description = payload.description
-        row.created = int(payload.created)
-        row.context_length = int(payload.context_length)
-        row.architecture = json.dumps(payload.architecture)
-        row.pricing = json.dumps(payload.pricing)
-        row.sats_pricing = None
-        row.per_request_limits = (
-            json.dumps(payload.per_request_limits)
-            if payload.per_request_limits is not None
-            else None
-        )
-        row.top_provider = (
-            json.dumps(payload.top_provider) if payload.top_provider else None
-        )
-        was_disabled = not row.enabled
-        row.enabled = payload.enabled
-
-        session.add(row)
-        await session.commit()
-        await session.refresh(row)
-
-    if was_disabled and payload.enabled:
-        from ..payment.models import _cleanup_enabled_models_once
-
-        try:
-            await _cleanup_enabled_models_once()
-        except Exception as e:
-            logger.warning(
-                f"Failed to run model cleanup after enabling: {e}",
-                extra={"model_id": model_id, "error": str(e)},
-            )
-
-    await refresh_model_maps()
-    return _row_to_model(
-        row, apply_provider_fee=True, provider_fee=provider.provider_fee
-    ).dict()  # type: ignore
-
-
-@admin_router.put(
-    "/api/upstream-providers/{provider_id}/models/{model_id:path}",
-    dependencies=[Depends(require_admin_api)],
-)
-async def update_provider_model_put(
-    provider_id: int, model_id: str, payload: ModelUpdate
-) -> dict[str, object]:
-    return await update_provider_model(provider_id, model_id, payload)
-
-
 @admin_router.delete(
     "/api/upstream-providers/{provider_id}/models/{model_id:path}",
     dependencies=[Depends(require_admin_api)],
@@ -3112,6 +3080,9 @@ async def get_logs_api(
     level: str | None = None,
     request_id: str | None = None,
     search: str | None = None,
+    status_codes: str | None = Query(None, description="Comma-separated status codes"),
+    methods: str | None = Query(None, description="Comma-separated HTTP methods"),
+    endpoints: str | None = Query(None, description="Comma-separated endpoints"),
     limit: int = 100,
 ) -> dict[str, object]:
     """
@@ -3122,16 +3093,32 @@ async def get_logs_api(
         level: Filter by log level
         request_id: Filter by request ID
         search: Search text in message and name fields (case-insensitive)
+        status_codes: Comma-separated list of HTTP status codes
+        methods: Comma-separated list of HTTP methods
+        endpoints: Comma-separated list of endpoints
         limit: Maximum number of entries to return
 
     Returns:
         Dict containing logs and filter metadata
     """
+    status_code_list = None
+    if status_codes:
+        try:
+            status_code_list = [int(s.strip()) for s in status_codes.split(",")]
+        except ValueError:
+            pass
+
+    method_list = [m.strip() for m in methods.split(",")] if methods else None
+    endpoint_list = [e.strip() for e in endpoints.split(",")] if endpoints else None
+
     log_entries = log_manager.search_logs(
         date=date,
         level=level,
         request_id=request_id,
         search_text=search,
+        status_codes=status_code_list,
+        methods=method_list,
+        endpoints=endpoint_list,
         limit=limit,
     )
 
@@ -3142,6 +3129,9 @@ async def get_logs_api(
         "level": level,
         "request_id": request_id,
         "search": search,
+        "status_codes": status_codes,
+        "methods": methods,
+        "endpoints": endpoints,
         "limit": limit,
     }
 

routstr/core/db.py

@@ -68,6 +68,10 @@ class ModelRow(SQLModel, table=True):  # type: ignore
     sats_pricing: str | None = Field(default=None)
     per_request_limits: str | None = Field(default=None)
     top_provider: str | None = Field(default=None)
+    canonical_slug: str | None = Field(default=None, description="Canonical model slug")
+    alias_ids: str | None = Field(
+        default=None, description="JSON array of model alias IDs"
+    )
     enabled: bool = Field(default=True, description="Whether this model is enabled")
     upstream_provider: "UpstreamProviderRow" = Relationship(back_populates="models")
 

routstr/core/log_manager.py

@@ -105,6 +105,9 @@ class LogManager:
         level: str | None = None,
         request_id: str | None = None,
         search_text: str | None = None,
+        status_codes: list[int] | None = None,
+        methods: list[str] | None = None,
+        endpoints: list[str] | None = None,
         limit: int = 100,
     ) -> list[dict[str, Any]]:
         """
@@ -134,7 +137,13 @@ class LogManager:
 
         for log_data in iterator:
             if not self._matches_filters(
-                log_data, level, request_id, search_text_lower
+                log_data,
+                level,
+                request_id,
+                search_text_lower,
+                status_codes,
+                methods,
+                endpoints,
             ):
                 continue
 
@@ -153,6 +162,9 @@ class LogManager:
         level: str | None,
         request_id: str | None,
         search_text_lower: str | None,
+        status_codes: list[int] | None = None,
+        methods: list[str] | None = None,
+        endpoints: list[str] | None = None,
     ) -> bool:
         if level and log_data.get("levelname", "").upper() != level.upper():
             return False
@@ -160,6 +172,36 @@ class LogManager:
         if request_id and log_data.get("request_id") != request_id:
             return False
 
+        if status_codes:
+            entry_status = log_data.get("status_code")
+            if entry_status is not None:
+                try:
+                    if int(entry_status) not in status_codes:
+                        return False
+                except (ValueError, TypeError):
+                    return False
+            else:
+                return False
+
+        if methods:
+            entry_method = log_data.get("method", "").upper()
+            if entry_method not in [m.upper() for m in methods]:
+                return False
+
+        if endpoints:
+            entry_path = log_data.get("path", "")
+            matched = False
+            for endpoint in endpoints:
+                clean_endpoint = endpoint.lstrip("/")
+                if entry_path.startswith(clean_endpoint):
+                    matched = True
+                    break
+                if clean_endpoint in entry_path:
+                    matched = True
+                    break
+            if not matched:
+                return False
+
         if search_text_lower:
             message = str(log_data.get("message", "")).lower()
             name = str(log_data.get("name", "")).lower()

routstr/core/main.py

@@ -14,7 +14,6 @@ from ..balance import balance_router, deprecated_wallet_router
 from ..discovery import providers_cache_refresher, providers_router
 from ..nip91 import announce_provider
 from ..payment.models import (
-    cleanup_enabled_models_periodically,
     models_router,
     update_sats_pricing,
 )
@@ -49,7 +48,6 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
     nip91_task = None
     providers_task = None
     models_refresh_task = None
-    models_cleanup_task = None
     model_maps_refresh_task = None
 
     try:
@@ -80,13 +78,17 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
         _update_prices_task = asyncio.create_task(_update_prices())
         _initialize_upstreams_task = asyncio.create_task(initialize_upstreams())
 
+        # ensure both setup tasks complete
+        await asyncio.gather(
+            _update_prices_task, _initialize_upstreams_task, return_exceptions=True
+        )
+
         btc_price_task = asyncio.create_task(update_prices_periodically())
         pricing_task = asyncio.create_task(update_sats_pricing())
         if global_settings.models_refresh_interval_seconds > 0:
             models_refresh_task = asyncio.create_task(
                 refresh_upstreams_models_periodically(get_upstreams())
             )
-        models_cleanup_task = asyncio.create_task(cleanup_enabled_models_periodically())
         model_maps_refresh_task = asyncio.create_task(refresh_model_maps_periodically())
         payout_task = asyncio.create_task(periodic_payout())
         if global_settings.nsec:
@@ -94,11 +96,6 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
         if global_settings.providers_refresh_interval_seconds > 0:
             providers_task = asyncio.create_task(providers_cache_refresher())
 
-        # ensure both setup tasks complete
-        await asyncio.gather(
-            _update_prices_task, _initialize_upstreams_task, return_exceptions=True
-        )
-
         yield
 
     except asyncio.CancelledError:
@@ -125,8 +122,6 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
             providers_task.cancel()
         if models_refresh_task is not None:
             models_refresh_task.cancel()
-        if models_cleanup_task is not None:
-            models_cleanup_task.cancel()
         if model_maps_refresh_task is not None:
             model_maps_refresh_task.cancel()
 
@@ -144,8 +139,6 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
                 tasks_to_wait.append(providers_task)
             if models_refresh_task is not None:
                 tasks_to_wait.append(models_refresh_task)
-            if models_cleanup_task is not None:
-                tasks_to_wait.append(models_cleanup_task)
             if model_maps_refresh_task is not None:
                 tasks_to_wait.append(model_maps_refresh_task)
 

routstr/core/middleware.py

@@ -55,7 +55,16 @@ class LoggingMiddleware(BaseHTTPMiddleware):
                 "headers": {
                     k: v
                     for k, v in request.headers.items()
-                    if k.lower() not in ["authorization", "x-cashu", "cookie"]
+                    if k.lower()
+                    not in [
+                        "authorization",
+                        "x-cashu",
+                        "cookie",
+                        "cf-connecting-ip",
+                        "cf-ipcountry",
+                        "x-forwarded-for",
+                        "x-real-ip",
+                    ]
                 },
                 "body_size": len(request_body) if request_body else 0,
             },

routstr/core/settings.py

@@ -6,7 +6,7 @@ import os
 from datetime import datetime, timezone
 from typing import Any
 
-from pydantic.v1 import BaseModel, BaseSettings, Field
+from pydantic.v1 import BaseModel, BaseSettings, Field, validator
 from sqlmodel.ext.asyncio.session import AsyncSession
 
 
@@ -37,9 +37,19 @@ class Settings(BaseSettings):
 
     # Cashu
     cashu_mints: list[str] = Field(default_factory=list, env="CASHU_MINTS")
+
+    @validator("cashu_mints", pre=True, each_item=True)
+    def normalize_mint_url(cls, v: str) -> str:
+        if isinstance(v, str):
+            return v.rstrip("/")
+        return v
+
     receive_ln_address: str = Field(default="", env="RECEIVE_LN_ADDRESS")
     primary_mint: str = Field(default="", env="PRIMARY_MINT_URL")
     primary_mint_unit: str = Field(default="sat", env="PRIMARY_MINT_UNIT")
+    disable_testnut_mock_upstream: bool = Field(
+        default=False, env="DISABLE_TESTNUT_MOCK_UPSTREAM"
+    )
 
     # Pricing
     # Default behavior: derive pricing from MODELS

routstr/payment/cost_calculation.py

@@ -5,6 +5,7 @@ from pydantic.v1 import BaseModel
 from ..core import get_logger
 from ..core.db import AsyncSession
 from ..core.settings import settings
+from .price import sats_usd_price
 
 logger = get_logger(__name__)
 
@@ -47,13 +48,6 @@ async def calculate_cost(  # todo: can be sync
         },
     )
 
-    cost_data = MaxCostData(
-        base_msats=max_cost,
-        input_msats=0,
-        output_msats=0,
-        total_msats=max_cost,
-    )
-
     if "usage" not in response_data or response_data["usage"] is None:
         logger.warning(
             "No usage data in response, using base cost only",
@@ -62,7 +56,62 @@ async def calculate_cost(  # todo: can be sync
                 "model": response_data.get("model", "unknown"),
             },
         )
-        return cost_data
+        return MaxCostData(
+            base_msats=0,
+            input_msats=0,
+            output_msats=0,
+            total_msats=0,
+        )
+
+    usage_data = response_data["usage"]
+
+    usd_cost = 0.0
+
+    # Prioritize cost_details.upstream_inference_cost
+    if "cost_details" in usage_data:
+        usd_cost = float(
+            usage_data["cost_details"].get("upstream_inference_cost", 0) or 0
+        )
+
+    # Fallback to cost field if upstream_inference_cost is 0
+    if usd_cost == 0 and "cost" in usage_data:
+        try:
+            usd_cost = float(usage_data.get("cost", 0) or 0)
+        except Exception:
+            pass
+
+    if usd_cost > 0:
+        try:
+            sats_per_usd = 1.0 / sats_usd_price()
+            cost_in_sats = usd_cost * sats_per_usd
+            cost_in_msats = math.ceil(cost_in_sats * 1000)
+
+            logger.info(
+                "Using cost from usage data/details",
+                extra={
+                    "usd_cost": usd_cost,
+                    "cost_in_sats": cost_in_sats,
+                    "cost_in_msats": cost_in_msats,
+                    "model": response_data.get("model", "unknown"),
+                },
+            )
+
+            return CostData(
+                base_msats=-1,
+                input_msats=-1,  # Cost field doesn't break down by token type
+                output_msats=-1,
+                total_msats=cost_in_msats,
+            )
+        except Exception as e:
+            logger.warning(
+                "Error calculating cost from usage data",
+                extra={
+                    "error": str(e),
+                    "usd_cost": usd_cost,
+                    "model": response_data.get("model", "unknown"),
+                },
+            )
+            # Fall through to token-based calculation
 
     MSATS_PER_1K_INPUT_TOKENS: float = (
         float(settings.fixed_per_1k_input_tokens) * 1000.0
@@ -127,14 +176,35 @@ async def calculate_cost(  # todo: can be sync
                 "model": response_data.get("model", "unknown"),
             },
         )
-        return cost_data
+        return MaxCostData(
+            base_msats=max_cost,
+            input_msats=0,
+            output_msats=0,
+            total_msats=max_cost,
+        )
 
-    input_tokens = response_data.get("usage", {}).get("prompt_tokens", 0)
-    output_tokens = response_data.get("usage", {}).get("completion_tokens", 0)
+    input_tokens = usage_data.get("prompt_tokens", 0)
+    output_tokens = usage_data.get("completion_tokens", 0)
 
     # added for response api
-    input_tokens = input_tokens if input_tokens != 0 else  response_data.get("usage", {}).get("input_tokens", 0)
-    output_tokens = output_tokens if output_tokens != 0 else  response_data.get("usage", {}).get("output_tokens", 0)
+    input_tokens = (
+        input_tokens if input_tokens != 0 else usage_data.get("input_tokens", 0)
+    )
+    output_tokens = (
+        output_tokens if output_tokens != 0 else usage_data.get("output_tokens", 0)
+    )
+
+    # added for response api
+    input_tokens = (
+        input_tokens
+        if input_tokens != 0
+        else response_data.get("usage", {}).get("input_tokens", 0)
+    )
+    output_tokens = (
+        output_tokens
+        if output_tokens != 0
+        else response_data.get("usage", {}).get("output_tokens", 0)
+    )
 
     input_msats = round(input_tokens / 1000 * MSATS_PER_1K_INPUT_TOKENS, 3)
 

routstr/payment/models.py

@@ -5,10 +5,9 @@ import random
 import httpx
 from fastapi import APIRouter, Depends
 from pydantic.v1 import BaseModel
-from sqlmodel import select
 from sqlmodel.ext.asyncio.session import AsyncSession
 
-from ..core.db import ModelRow, create_session, get_session
+from ..core.db import ModelRow, get_session
 from ..core.logging import get_logger
 from ..core.settings import settings
 from .price import sats_usd_price
@@ -93,12 +92,32 @@ async def async_fetch_openrouter_models(source_filter: str | None = None) -> lis
 
     try:
         async with httpx.AsyncClient() as client:
-            response = await client.get(f"{base_url}/models", timeout=30)
-            response.raise_for_status()
-            data = response.json()
+            models_response, embeddings_response = await asyncio.gather(
+                client.get(f"{base_url}/models", timeout=30),
+                client.get(f"{base_url}/embeddings/models", timeout=30),
+                return_exceptions=True,
+            )
+
+            def process_models_response(
+                response: httpx.Response | BaseException,
+            ) -> list[dict]:
+                if not isinstance(response, BaseException):
+                    response.raise_for_status()
+                    data = response.json()
+                    return [
+                        model
+                        for model in data.get("data", [])
+                        if ":free" not in model.get("id", "").lower()
+                    ]
+                return []
 
             models_data: list[dict] = []
-            for model in data.get("data", []):
+            models_data.extend(process_models_response(models_response))
+            models_data.extend(process_models_response(embeddings_response))
+
+            # Apply source filter and exclusions
+            filtered_models = []
+            for model in models_data:
                 model_id = model.get("id", "")
 
                 if source_filter:
@@ -116,9 +135,9 @@ async def async_fetch_openrouter_models(source_filter: str | None = None) -> lis
                 if not _has_valid_pricing(model):
                     continue
 
-                models_data.append(model)
+                filtered_models.append(model)
 
-            return models_data
+            return filtered_models
     except Exception as e:
         logger.error(f"Error (async) fetching models from OpenRouter API: {e}")
         return []
@@ -165,6 +184,7 @@ def _row_to_model(
         enabled=row.enabled,
         upstream_provider_id=row.upstream_provider_id,
         canonical_slug=getattr(row, "canonical_slug", None),
+        alias_ids=json.loads(row.alias_ids) if row.alias_ids else None,
     )
 
     if apply_provider_fee:
@@ -362,7 +382,7 @@ def _update_model_sats_pricing(model: Model, sats_to_usd: float) -> Model:
 
 async def _update_sats_pricing_once() -> None:
     """Update sats pricing once for all provider models (in-memory only)."""
-    from ..proxy import get_upstreams
+    from ..proxy import get_upstreams, refresh_model_maps
 
     upstreams = get_upstreams()
     sats_to_usd = sats_usd_price()
@@ -379,6 +399,7 @@ async def _update_sats_pricing_once() -> None:
 
     if updated_count > 0:
         logger.info("Updated sats pricing", extra={"models_updated": updated_count})
+        await refresh_model_maps()
 
 
 async def update_sats_pricing() -> None:
@@ -389,7 +410,13 @@ async def update_sats_pricing() -> None:
     except Exception:
         pass
 
-    await _update_sats_pricing_once()
+    try:
+        await _update_sats_pricing_once()
+    except Exception as e:
+        logger.warning(
+            "Initial sats pricing update failed (will retry in loop)",
+            extra={"error": str(e)},
+        )
 
     while True:
         try:
@@ -413,114 +440,6 @@ async def update_sats_pricing() -> None:
             logger.error(f"Error updating sats pricing: {e}")
 
 
-async def cleanup_enabled_models_periodically() -> None:
-    """Background task to clean up enabled models that match upstream pricing.
-
-    When model is enabled (enabled=True), remove it from DB if it matches upstream pricing.
-    Keep it in DB only if pricing differs from upstream or if it's disabled.
-    """
-    interval = getattr(
-        settings, "models_cleanup_interval_seconds", 300
-    )  # 5 minutes default
-    if not interval or interval <= 0:
-        return
-
-    while True:
-        try:
-            await _cleanup_enabled_models_once()
-        except asyncio.CancelledError:
-            break
-        except Exception as e:
-            logger.error(
-                "Error during enabled models cleanup",
-                extra={"error": str(e), "error_type": type(e).__name__},
-            )
-
-        try:
-            jitter = max(0.0, float(interval) * 0.1)
-            await asyncio.sleep(interval + random.uniform(0, jitter))
-        except asyncio.CancelledError:
-            break
-
-
-async def _cleanup_enabled_models_once() -> None:
-    """Clean up enabled models that match upstream pricing."""
-    from ..proxy import get_upstreams
-
-    async with create_session() as session:
-        # Get all enabled models from DB
-        result = await session.exec(
-            select(ModelRow).where(
-                ModelRow.enabled,  # Only enabled models
-            )
-        )
-        db_models = result.all()
-
-        if not db_models:
-            return
-
-        upstreams = get_upstreams()
-        models_to_remove = []
-
-        for db_model in db_models:
-            # Find corresponding upstream model
-            upstream_model = None
-            for upstream in upstreams:
-                upstream_model = upstream.get_cached_model_by_id(db_model.id)
-                if upstream_model:
-                    break
-
-            if not upstream_model:
-                continue
-
-            # Compare pricing to see if they match
-            db_pricing = json.loads(db_model.pricing)
-            upstream_pricing = upstream_model.pricing.dict()
-
-            # Check if pricing matches (with small tolerance for float comparison)
-            pricing_matches = _pricing_matches(db_pricing, upstream_pricing)
-
-            if pricing_matches:
-                models_to_remove.append(db_model)
-                logger.info(
-                    f"Removing enabled model {db_model.id} - matches upstream pricing",
-                    extra={"model_id": db_model.id},
-                )
-
-        # Remove models that match upstream pricing
-        for model in models_to_remove:
-            await session.delete(model)
-
-        if models_to_remove:
-            await session.commit()
-            logger.info(
-                f"Cleaned up {len(models_to_remove)} enabled models that match upstream pricing"
-            )
-
-
-def _pricing_matches(
-    db_pricing: dict, upstream_pricing: dict, tolerance: float = 0.0
-) -> bool:
-    """Check if pricing dictionaries match within tolerance."""
-    keys_to_compare = [
-        "prompt",
-        "completion",
-        "request",
-        "image",
-        "web_search",
-        "internal_reasoning",
-    ]
-
-    for key in keys_to_compare:
-        db_val = int(float(db_pricing.get(key, 0.0)) * 1000000)
-        upstream_val = int(float(upstream_pricing.get(key, 0.0)) * 1000000)
-
-        if abs(db_val - upstream_val) > tolerance:
-            return False
-
-    return True
-
-
 @models_router.get("/v1/models")
 @models_router.get("/models", include_in_schema=False)
 async def models(session: AsyncSession = Depends(get_session)) -> dict:

routstr/proxy.py

@@ -16,6 +16,7 @@ from .core.db import (
     create_session,
     get_session,
 )
+from .core.settings import settings
 from .payment.helpers import (
     calculate_discounted_max_cost,
     check_token_balance,
@@ -25,6 +26,7 @@ from .payment.helpers import (
 from .payment.models import Model
 from .upstream import BaseUpstreamProvider
 from .upstream.helpers import init_upstreams
+from .wallet import deserialize_token_from_string
 
 logger = get_logger(__name__)
 proxy_router = APIRouter()
@@ -65,12 +67,12 @@ def get_upstreams() -> list[BaseUpstreamProvider]:
 
 def get_model_instance(model_id: str) -> Model | None:
     """Get Model instance by ID from global cache."""
-    return _model_instances.get(model_id)
+    return _model_instances.get(model_id.lower())
 
 
 def get_provider_for_model(model_id: str) -> BaseUpstreamProvider | None:
     """Get UpstreamProvider for model ID from global cache."""
-    return _provider_map.get(model_id)
+    return _provider_map.get(model_id.lower())
 
 
 def get_unique_models() -> list[Model]:
@@ -80,31 +82,27 @@ def get_unique_models() -> list[Model]:
 
 async def refresh_model_maps() -> None:
     """Refresh global model and provider maps using the cost-based algorithm."""
+    from sqlalchemy.orm import selectinload
+
     global _model_instances, _provider_map, _unique_models
 
-    # Gather database overrides and disabled models
     async with create_session() as session:
-        result = await session.exec(select(ModelRow).where(ModelRow.enabled))
-        override_rows = result.all()
-
-        provider_result = await session.exec(select(UpstreamProviderRow))
-        providers_by_id = {p.id: p for p in provider_result.all()}
-
-        overrides_by_id: dict[str, tuple[ModelRow, float]] = {
-            row.id: (
-                row,
-                providers_by_id[row.upstream_provider_id].provider_fee
-                if row.upstream_provider_id in providers_by_id
-                else 1.01,
-            )
-            for row in override_rows
-            if row.upstream_provider_id is not None
-        }
-
-        disabled_result = await session.exec(
-            select(ModelRow.id).where(ModelRow.enabled == False)  # noqa: E712
+        # Fetch all providers with their models in a single logical operation
+        query = select(UpstreamProviderRow).options(
+            selectinload(UpstreamProviderRow.models)  # type: ignore
         )
-        disabled_model_ids = {row for row in disabled_result.all()}
+        result = await session.exec(query)
+        provider_rows = result.all()
+
+    overrides_by_id: dict[str, tuple[ModelRow, float]] = {}
+    disabled_model_ids: set[str] = set()
+
+    for provider in provider_rows:
+        for model in provider.models:
+            if model.enabled:
+                overrides_by_id[model.id] = (model, provider.provider_fee)
+            else:
+                disabled_model_ids.add(model.id)
 
     _model_instances, _provider_map, _unique_models = create_model_mappings(
         upstreams=_upstreams,
@@ -150,6 +148,27 @@ async def proxy(
     else:
         model_id = request_body_dict.get("model", "unknown")
 
+    if (
+        "https://testnut.cashu.space" in settings.cashu_mints
+        and not settings.disable_testnut_mock_upstream
+    ):
+        try:
+            token_str = None
+            if x_cashu_header := headers.get("x-cashu"):
+                token_str = x_cashu_header
+            elif auth_header := headers.get("authorization"):
+                parts = auth_header.split(" ")
+                if len(parts) > 1 and not parts[1].startswith("sk-"):
+                    token_str = parts[1]
+
+            if token_str:
+                token_obj = deserialize_token_from_string(token_str)
+                if token_obj.mint == "https://testnut.cashu.space":
+                    model_id = "mock/gpt-420-mock"
+                    request_body_dict["model"] = model_id
+        except Exception:
+            pass
+
     model_obj = get_model_instance(model_id)
     if not model_obj:
         return create_error_response(
@@ -341,7 +360,7 @@ def extract_model_from_responses_request(request_body_dict: dict[str, Any]) -> s
 
     logger.warning(
         "No model found in Responses API request",
-        extra={"body_keys": list(request_body_dict.keys())}
+        extra={"body_keys": list(request_body_dict.keys())},
     )
     return "unknown"
 

routstr/upstream/base.py

@@ -234,7 +234,11 @@ class BaseUpstreamProvider:
                     )
 
                 # Handle model in input field (alternative format)
-                if "input" in data and isinstance(data["input"], dict) and "model" in data["input"]:
+                if (
+                    "input" in data
+                    and isinstance(data["input"], dict)
+                    and "model" in data["input"]
+                ):
                     original_model = model_obj.id
                     transformed_model = self.transform_model_name(original_model)
                     data["input"]["model"] = transformed_model
@@ -779,8 +783,13 @@ class BaseUpstreamProvider:
 
                                     # Track reasoning tokens for Responses API
                                     if usage := obj.get("usage", {}):
-                                        if isinstance(usage, dict) and "reasoning_tokens" in usage:
-                                            reasoning_tokens += usage.get("reasoning_tokens", 0)
+                                        if (
+                                            isinstance(usage, dict)
+                                            and "reasoning_tokens" in usage
+                                        ):
+                                            reasoning_tokens += usage.get(
+                                                "reasoning_tokens", 0
+                                            )
                             except json.JSONDecodeError:
                                 pass
                     except Exception:
@@ -933,8 +942,8 @@ class BaseUpstreamProvider:
                     "model": response_json.get("model", "unknown"),
                     "has_usage": "usage" in response_json,
                     "has_reasoning_tokens": "usage" in response_json
-                        and isinstance(response_json.get("usage"), dict)
-                        and "reasoning_tokens" in response_json["usage"],
+                    and isinstance(response_json.get("usage"), dict)
+                    and "reasoning_tokens" in response_json["usage"],
                 },
             )
 
@@ -1094,51 +1103,53 @@ class BaseUpstreamProvider:
                     await client.aclose()
                 return mapped_error
 
-            if path.endswith("chat/completions"):
-                client_wants_streaming = False
-                if request_body:
-                    try:
-                        request_data = json.loads(request_body)
-                        client_wants_streaming = request_data.get("stream", False)
-                        logger.debug(
-                            "Chat completion request analysis",
-                            extra={
-                                "client_wants_streaming": client_wants_streaming,
-                                "model": request_data.get("model", "unknown"),
-                                "key_hash": key.hashed_key[:8] + "...",
-                            },
-                        )
-                    except json.JSONDecodeError:
-                        logger.warning(
-                            "Failed to parse request body JSON for streaming detection"
-                        )
+            if path.endswith("chat/completions") or path.endswith("embeddings"):
+                if path.endswith("chat/completions"):
+                    client_wants_streaming = False
+                    if request_body:
+                        try:
+                            request_data = json.loads(request_body)
+                            client_wants_streaming = request_data.get("stream", False)
+                            logger.debug(
+                                "Chat completion request analysis",
+                                extra={
+                                    "client_wants_streaming": client_wants_streaming,
+                                    "model": request_data.get("model", "unknown"),
+                                    "key_hash": key.hashed_key[:8] + "...",
+                                },
+                            )
+                        except json.JSONDecodeError:
+                            logger.warning(
+                                "Failed to parse request body JSON for streaming detection"
+                            )
 
-                content_type = response.headers.get("content-type", "")
-                upstream_is_streaming = "text/event-stream" in content_type
-                is_streaming = client_wants_streaming and upstream_is_streaming
+                    content_type = response.headers.get("content-type", "")
+                    upstream_is_streaming = "text/event-stream" in content_type
+                    is_streaming = client_wants_streaming and upstream_is_streaming
 
-                logger.debug(
-                    "Response type analysis",
-                    extra={
-                        "is_streaming": is_streaming,
-                        "client_wants_streaming": client_wants_streaming,
-                        "upstream_is_streaming": upstream_is_streaming,
-                        "content_type": content_type,
-                        "key_hash": key.hashed_key[:8] + "...",
-                    },
-                )
-
-                if is_streaming and response.status_code == 200:
-                    result = await self.handle_streaming_chat_completion(
-                        response, key, max_cost_for_model
+                    logger.debug(
+                        "Response type analysis",
+                        extra={
+                            "is_streaming": is_streaming,
+                            "client_wants_streaming": client_wants_streaming,
+                            "upstream_is_streaming": upstream_is_streaming,
+                            "content_type": content_type,
+                            "key_hash": key.hashed_key[:8] + "...",
+                        },
                     )
-                    background_tasks = BackgroundTasks()
-                    background_tasks.add_task(response.aclose)
-                    background_tasks.add_task(client.aclose)
-                    result.background = background_tasks
-                    return result
 
-                elif response.status_code == 200:
+                    if is_streaming and response.status_code == 200:
+                        result = await self.handle_streaming_chat_completion(
+                            response, key, max_cost_for_model
+                        )
+                        background_tasks = BackgroundTasks()
+                        background_tasks.add_task(response.aclose)
+                        background_tasks.add_task(client.aclose)
+                        result.background = background_tasks
+                        return result
+
+                # Handle both non-streaming chat completions and embeddings
+                if response.status_code == 200:
                     try:
                         return await self.handle_non_streaming_chat_completion(
                             response, key, session, max_cost_for_model
@@ -2082,9 +2093,9 @@ class BaseUpstreamProvider:
                     error_response.headers["X-Cashu"] = refund_token
                     return error_response
 
-                if path.endswith("chat/completions"):
+                if path.endswith("chat/completions") or path.endswith("embeddings"):
                     logger.debug(
-                        "Processing chat completion response",
+                        "Processing completion/embeddings response",
                         extra={"path": path, "amount": amount, "unit": unit},
                     )
 
@@ -2501,7 +2512,10 @@ class BaseUpstreamProvider:
                         usage_data = data_json["usage"]
                         model = data_json.get("model")
                         # Track reasoning tokens for Responses API
-                        if isinstance(usage_data, dict) and "reasoning_tokens" in usage_data:
+                        if (
+                            isinstance(usage_data, dict)
+                            and "reasoning_tokens" in usage_data
+                        ):
                             reasoning_tokens = usage_data.get("reasoning_tokens", 0)
                     elif "model" in data_json and not model:
                         model = data_json["model"]
@@ -2912,15 +2926,32 @@ class BaseUpstreamProvider:
     async def _fetch_openrouter_models(self) -> list[dict]:
         """Fetch models from OpenRouter API."""
         url = "https://openrouter.ai/api/v1/models"
+        embeddings_url = "https://openrouter.ai/api/v1/embeddings/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()
-            ]
+            models_response, embeddings_response = await asyncio.gather(
+                client.get(url), client.get(embeddings_url), return_exceptions=True
+            )
+
+            all_models = []
+
+            def process_models_response(
+                response: httpx.Response | BaseException,
+            ) -> list[dict]:
+                if not isinstance(response, BaseException):
+                    response.raise_for_status()
+                    data = response.json()
+                    return [
+                        model
+                        for model in data.get("data", [])
+                        if ":free" not in model.get("id", "").lower()
+                    ]
+                return []
+
+            all_models.extend(process_models_response(models_response))
+            all_models.extend(process_models_response(embeddings_response))
+
+            return all_models
 
     async def _fetch_provider_models(self) -> dict:
         """Fetch models from provider's API."""

routstr/upstream/fake.py

@@ -0,0 +1,265 @@
+import asyncio
+import json
+import random
+from typing import AsyncIterator
+
+from fastapi import Request
+from fastapi.responses import Response, StreamingResponse
+
+from ..core.db import ApiKey, AsyncSession
+from ..payment.models import Architecture, Model, Pricing
+from .base import BaseUpstreamProvider
+
+
+class MockUpstreamProvider(BaseUpstreamProvider):
+    """Fack Mock Upstream provider specifically for Testing."""
+
+    provider_type = "mock"
+
+    async def forward_request(
+        self,
+        request: Request,
+        path: str,
+        headers: dict,
+        request_body: bytes | None,
+        key: ApiKey,
+        max_cost_for_model: int,
+        session: AsyncSession,
+        model_obj: Model,
+    ) -> Response | StreamingResponse:
+        if path.endswith("chat/completions"):
+            is_streaming = False
+            if request_body:
+                request_data = json.loads(request_body)
+                is_streaming = request_data.get("stream", False)
+
+            if is_streaming:
+
+                async def fake_streaming_response(
+                    chunk_size: int | None = None,
+                ) -> AsyncIterator[bytes]:
+                    suffix = random.randint(1000, 9999)
+                    req_id = f"gen-mock-stream-{suffix}"
+                    created = 1766138895
+                    model = "mock/gpt-420-mock"
+
+                    def make_chunk(
+                        delta: dict,
+                        finish_reason: str | None = None,
+                        usage: dict | None = None,
+                    ) -> bytes:
+                        chunk = {
+                            "id": req_id,
+                            "provider": "MockProvider",
+                            "model": model,
+                            "object": "chat.completion.chunk",
+                            "created": created,
+                            "choices": [
+                                {
+                                    "index": 0,
+                                    "delta": delta,
+                                    "finish_reason": finish_reason,
+                                    "native_finish_reason": "completed"
+                                    if finish_reason
+                                    else None,
+                                    "logprobs": None,
+                                }
+                            ],
+                        }
+                        if usage:
+                            chunk["usage"] = usage
+                        return f"data: {json.dumps(chunk)}\n\n".encode()
+
+                    # 1. Initial chunk
+                    yield make_chunk({"role": "assistant", "content": ""})
+                    await asyncio.sleep(0.02)
+
+                    # 2. Reasoning chunks
+                    reasoning_tokens = ["Mock", " reason", "ing", "..."]
+                    for token in reasoning_tokens:
+                        delta = {
+                            "role": "assistant",
+                            "content": "",
+                            "reasoning": token,
+                            "reasoning_details": [
+                                {
+                                    "type": "reasoning.summary",
+                                    "summary": token,
+                                    "format": "openai-responses-v1",
+                                    "index": 0,
+                                }
+                            ],
+                        }
+                        yield make_chunk(delta)
+                        await asyncio.sleep(0.03)
+
+                    # 3. Content chunks
+                    content_tokens = ["This", " is", " a", " mock", " stream", "."]
+                    for token in content_tokens:
+                        yield make_chunk({"role": "assistant", "content": token})
+                        await asyncio.sleep(0.03)
+
+                    # 4. Finish chunk
+                    yield make_chunk(
+                        {"role": "assistant", "content": ""}, finish_reason="stop"
+                    )
+
+                    # 5. Usage chunk
+                    usage_data = {
+                        "prompt_tokens": 10,
+                        "completion_tokens": 20,
+                        "total_tokens": 30,
+                        "cost": 0.001,
+                        "is_byok": False,
+                        "prompt_tokens_details": {
+                            "cached_tokens": 0,
+                            "audio_tokens": 0,
+                            "video_tokens": 0,
+                        },
+                        "cost_details": {
+                            "upstream_inference_cost": None,
+                            "upstream_inference_prompt_cost": 0,
+                            "upstream_inference_completions_cost": 0.001,
+                        },
+                        "completion_tokens_details": {
+                            "reasoning_tokens": 10,
+                            "image_tokens": 0,
+                        },
+                    }
+
+                    usage_chunk = {
+                        "id": req_id,
+                        "provider": "MockProvider",
+                        "model": model,
+                        "object": "chat.completion.chunk",
+                        "created": created,
+                        "choices": [
+                            {
+                                "index": 0,
+                                "delta": {"role": "assistant", "content": ""},
+                                "finish_reason": None,
+                                "native_finish_reason": None,
+                                "logprobs": None,
+                            }
+                        ],
+                        "usage": usage_data,
+                    }
+                    yield f"data: {json.dumps(usage_chunk)}\n\n".encode()
+
+                    # 6. DONE
+                    yield b"data: [DONE]\n\n"
+
+                    # 7. Cost
+                    cost_chunk = {
+                        "cost": {
+                            "base_msats": 0,
+                            "input_msats": 2,
+                            "output_msats": 10,
+                            "total_msats": 12,
+                        }
+                    }
+                    yield f"data: {json.dumps(cost_chunk)}\n\n".encode()
+
+                return StreamingResponse(
+                    fake_streaming_response(),
+                    200,
+                )
+
+            else:
+                suffix = random.randint(1000, 9999)
+                content_dict = {
+                    "id": f"gen-mock-{suffix}",
+                    "provider": "MockProvider",
+                    "model": "mock/gpt-5-mini",
+                    "object": "chat.completion",
+                    "created": 1766138655,
+                    "choices": [
+                        {
+                            "logprobs": None,
+                            "finish_reason": "length",
+                            "native_finish_reason": "max_output_tokens",
+                            "index": 0,
+                            "message": {
+                                "role": "assistant",
+                                "content": f"Mock Content {suffix}",
+                                "refusal": None,
+                                "reasoning": f"Mock Reasoning {suffix}",
+                                "reasoning_details": [
+                                    {
+                                        "format": "openai-responses-v1",
+                                        "index": 0,
+                                        "type": "reasoning.summary",
+                                        "summary": f"Mock Summary {suffix}",
+                                    },
+                                    {
+                                        "id": f"rs_mock_{suffix}",
+                                        "format": "openai-responses-v1",
+                                        "index": 0,
+                                        "type": "reasoning.encrypted",
+                                        "data": "mock_encrypted_data",
+                                    },
+                                ],
+                            },
+                        }
+                    ],
+                    "usage": {
+                        "prompt_tokens": 10,
+                        "completion_tokens": 10,
+                        "total_tokens": 20,
+                        "cost": 0,
+                        "is_byok": False,
+                        "prompt_tokens_details": {
+                            "cached_tokens": 0,
+                            "audio_tokens": 0,
+                            "video_tokens": 0,
+                        },
+                        "cost_details": {
+                            "upstream_inference_cost": None,
+                            "upstream_inference_prompt_cost": 0,
+                            "upstream_inference_completions_cost": 0,
+                        },
+                        "completion_tokens_details": {
+                            "reasoning_tokens": 5,
+                            "image_tokens": 0,
+                        },
+                    },
+                    "cost": {
+                        "base_msats": 0,
+                        "input_msats": 0,
+                        "output_msats": 0,
+                        "total_msats": 0,
+                    },
+                }
+                return Response(json.dumps(content_dict).encode(), 200)
+
+        elif path.endswith("embeddings"):
+            raise NotImplementedError
+        elif path.endswith("responses"):
+            raise NotImplementedError
+        else:
+            raise NotImplementedError
+
+    async def fetch_models(self) -> list[Model]:
+        return [
+            Model(
+                id="mock/gpt-420-mock",
+                name="mock/gpt-420-mock",
+                created=0,
+                description="mock model for testing",
+                context_length=8192,
+                architecture=Architecture(
+                    modality="text",
+                    input_modalities=["text"],
+                    output_modalities=["text"],
+                    tokenizer="",
+                    instruct_type=None,
+                ),
+                pricing=Pricing(prompt=0.01, completion=0.01),
+            ),
+        ]
+
+    def transform_model_name(self, model_id: str) -> str:
+        return "fake-model"
+
+    async def get_balance(self) -> float | None:
+        return 420.69

routstr/upstream/helpers.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import asyncio
 import os
 import re
 from typing import TYPE_CHECKING
@@ -7,6 +8,7 @@ from typing import TYPE_CHECKING
 if TYPE_CHECKING:
     from ..core.settings import Settings
 
+from sqlmodel import select
 
 from ..core import get_logger
 from ..core.db import AsyncSession, ModelRow, UpstreamProviderRow, create_session
@@ -145,6 +147,17 @@ async def refresh_upstreams_models_periodically(
                         f"Error refreshing models for {upstream.base_url}",
                         extra={"error": str(e), "error_type": type(e).__name__},
                     )
+
+            try:
+                from ..payment.models import _update_sats_pricing_once
+
+                await _update_sats_pricing_once()
+            except Exception as e:
+                logger.warning(f"Failed to update pricing after model refresh: {e}")
+                from ..proxy import refresh_model_maps
+
+                await refresh_model_maps()
+
         except asyncio.CancelledError:
             break
         except Exception as e:
@@ -166,8 +179,6 @@ async def init_upstreams() -> list[BaseUpstreamProvider]:
     Seeds database with providers from settings if empty, then loads and instantiates
     provider instances from database records, and refreshes their models cache.
     """
-    from sqlmodel import select
-
     from ..core.settings import settings
 
     async with create_session() as session:
@@ -183,16 +194,16 @@ async def init_upstreams() -> list[BaseUpstreamProvider]:
             result = await session.exec(select(UpstreamProviderRow))
             existing_providers = result.all()
 
-        upstreams: list[BaseUpstreamProvider] = []
-        for provider_row in existing_providers:
+        async def _init_single_provider(
+            provider_row: UpstreamProviderRow,
+        ) -> BaseUpstreamProvider | None:
             if not provider_row.enabled:
                 logger.debug(f"Skipping disabled provider: {provider_row.base_url}")
-                continue
+                return None
 
             provider = _instantiate_provider(provider_row)
             if provider:
                 await provider.refresh_models_cache()
-                upstreams.append(provider)
                 logger.debug(
                     f"Initialized {provider_row.provider_type} provider",
                     extra={
@@ -200,6 +211,23 @@ async def init_upstreams() -> list[BaseUpstreamProvider]:
                         "models_cached": len(provider.get_cached_models()),
                     },
                 )
+                return provider
+            return None
+
+        tasks = [_init_single_provider(row) for row in existing_providers]
+        results = await asyncio.gather(*tasks)
+        upstreams = [p for p in results if p is not None]
+
+        if (
+            "https://testnut.cashu.space" in settings.cashu_mints
+            and not settings.disable_testnut_mock_upstream
+        ):
+            from .fake import MockUpstreamProvider
+
+            mock_provider = MockUpstreamProvider("mock", "mock")
+            await mock_provider.refresh_models_cache()
+            upstreams.append(mock_provider)
+            logger.info("Initialized MockUpstreamProvider for testnut mint")
 
         return upstreams
 

routstr/upstream/openrouter.py

@@ -50,7 +50,13 @@ class OpenRouterUpstreamProvider(BaseUpstreamProvider):
     async def fetch_models(self) -> list[Model]:
         """Fetch all OpenRouter models."""
         models_data = await async_fetch_openrouter_models()
-        return [Model(**model) for model in models_data]  # type: ignore
+        models = [Model(**model) for model in models_data]  # type: ignore
+        # manual alias for openai/text-embedding-ada-002 due to openrouter api bug
+        for model in models:
+            if model.id == "openai/text-embedding-ada-002":
+                model.alias_ids = ["text-embedding-ada-002-v2"]
+                break
+        return models
 
     async def get_balance(self) -> float | None:
         """Get the current account balance from OpenRouter.

routstr/wallet.py

@@ -313,6 +313,11 @@ async def periodic_payout() -> None:
         try:
             async with db.create_session() as session:
                 for mint_url in settings.cashu_mints:
+                    if (
+                        mint_url == "https://testnut.cashu.space"
+                        and not settings.disable_testnut_mock_upstream
+                    ):
+                        continue
                     for unit in ["sat", "msat"]:
                         wallet = await get_wallet(mint_url, unit)
                         proofs = get_proofs_per_mint_and_unit(

tests/integration/test_embeddings.py

@@ -0,0 +1,97 @@
+import json
+from typing import Any
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+from httpx import AsyncClient
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_proxy_embeddings_endpoint(authenticated_client: AsyncClient) -> None:
+    """Test the embeddings endpoint proxy functionality"""
+
+    test_payload = {
+        "model": "text-embedding-ada-002",
+        "input": "The quick brown fox",
+    }
+
+    mock_response_data = {
+        "object": "list",
+        "data": [
+            {"object": "embedding", "embedding": [0.0023, -0.0012, 0.0045], "index": 0}
+        ],
+        "model": "text-embedding-ada-002",
+        "usage": {"prompt_tokens": 5, "total_tokens": 5},
+    }
+
+    with patch("httpx.AsyncClient.send") as mock_send:
+        # Create a proper async generator for iter_bytes
+        async def mock_iter_bytes(*args: Any, **kwargs: Any) -> Any:
+            yield json.dumps(mock_response_data).encode()
+
+        mock_response = AsyncMock()
+        mock_response.status_code = 200
+        mock_response.headers = {"content-type": "application/json"}
+        mock_response.text = json.dumps(mock_response_data)
+        # Use MagicMock for synchronous .json() method
+        mock_response.json = MagicMock(return_value=mock_response_data)
+        mock_response.iter_bytes = mock_iter_bytes
+        mock_response.aiter_bytes = mock_iter_bytes
+        mock_send.return_value = mock_response
+
+        # Make POST request to embeddings endpoint
+        response = await authenticated_client.post("/v1/embeddings", json=test_payload)
+
+        assert response.status_code == 200
+        response_data = response.json()
+        assert response_data["object"] == "list"
+        assert len(response_data["data"]) == 1
+        assert response_data["data"][0]["object"] == "embedding"
+
+        # Verify request was forwarded
+        mock_send.assert_called_once()
+        forwarded_request = mock_send.call_args[0][0]
+        # Verify the path ends with embeddings
+        # Note: forwarded path might be full URL
+        assert str(forwarded_request.url).endswith("embeddings")
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_model_case_insensitivity(authenticated_client: AsyncClient) -> None:
+    """Test that model lookups are case insensitive"""
+
+    # We'll use a mixed-case model ID that should match the lowercase one in the system
+    # We assume 'gpt-3.5-turbo' is available in the mock env/database
+
+    test_payload = {
+        "model": "GPT-3.5-TURBO",
+        "messages": [{"role": "user", "content": "Hello"}],
+    }
+
+    with patch("httpx.AsyncClient.send") as mock_send:
+        mock_response_data = {
+            "id": "chatcmpl-123",
+            "object": "chat.completion",
+            "choices": [{"message": {"content": "Hi"}}],
+            "usage": {"total_tokens": 10},
+        }
+
+        async def mock_iter_bytes(*args: Any, **kwargs: Any) -> Any:
+            yield json.dumps(mock_response_data).encode()
+
+        mock_response = AsyncMock()
+        mock_response.status_code = 200
+        mock_response.headers = {"content-type": "application/json"}
+        mock_response.text = json.dumps(mock_response_data)
+        mock_response.json = MagicMock(return_value=mock_response_data)
+        mock_response.iter_bytes = mock_iter_bytes
+        mock_response.aiter_bytes = mock_iter_bytes
+        mock_send.return_value = mock_response
+
+        response = await authenticated_client.post(
+            "/v1/chat/completions", json=test_payload
+        )
+
+        assert response.status_code == 200

tests/integration/test_wallet_authentication.py

@@ -3,7 +3,6 @@ Integration tests for wallet authentication system including API key generation
 Tests POST /v1/wallet/topup endpoint and authorization header validation.
 """
 
-import hashlib
 from datetime import datetime, timedelta
 from typing import Any
 
@@ -15,7 +14,6 @@ from routstr.core.db import ApiKey
 
 from .utils import (
     CashuTokenGenerator,
-    ConcurrencyTester,
     ResponseValidator,
 )
 
@@ -389,69 +387,6 @@ async def test_api_key_with_expiry_time(
     # The expiry time and refund address functionality is tested elsewhere
 
 
-@pytest.mark.integration
-@pytest.mark.asyncio
-async def test_concurrent_token_submissions(
-    integration_client: AsyncClient, testmint_wallet: Any, integration_session: Any
-) -> None:
-    """Test concurrent submissions of different tokens"""
-
-    # Generate multiple unique tokens with known amounts
-    num_tokens = 10
-    tokens = []
-    expected_balances = {}
-
-    for i in range(num_tokens):
-        amount = 100 + i * 10
-        token = await testmint_wallet.mint_tokens(amount)
-        tokens.append(token)
-        # Store expected balance by token hash
-        hashed_key = hashlib.sha256(token.encode()).hexdigest()
-        expected_balances[hashed_key] = amount * 1000  # msats
-
-    # Create concurrent requests
-    requests = [
-        {
-            "method": "GET",
-            "url": "/v1/wallet/info",
-            "headers": {"Authorization": f"Bearer {token}"},
-        }
-        for token in tokens
-    ]
-
-    # Execute concurrently
-    tester = ConcurrencyTester()
-    responses = await tester.run_concurrent_requests(
-        integration_client, requests, max_concurrent=5
-    )
-
-    # All should succeed
-    assert len(responses) == num_tokens
-    api_keys = set()
-
-    for response in responses:
-        assert response.status_code == 200
-        data = response.json()
-        api_key = data["api_key"]
-        api_keys.add(api_key)
-
-        # Verify balance matches the expected amount
-        hashed_key = api_key[3:]  # Remove "sk-" prefix
-        assert data["balance"] == expected_balances[hashed_key]
-
-    # Should have created unique API keys
-    assert len(api_keys) == num_tokens
-
-    # Verify all keys exist in database
-    for api_key in api_keys:
-        hashed_key = api_key[3:]  # Remove "sk-" prefix
-        result = await integration_session.execute(
-            select(ApiKey).where(ApiKey.hashed_key == hashed_key)  # type: ignore[arg-type]
-        )
-        db_key = result.scalar_one()
-        assert db_key.balance == expected_balances[hashed_key]
-
-
 @pytest.mark.integration
 @pytest.mark.asyncio
 async def test_authorization_with_cashu_token_directly(
@@ -504,48 +439,6 @@ async def test_x_cashu_header_support(
     assert response.status_code == 200
 
 
-@pytest.mark.integration
-@pytest.mark.asyncio
-@pytest.mark.slow
-async def test_api_key_consistency_under_load(
-    integration_client: AsyncClient, testmint_wallet: Any, integration_session: Any
-) -> None:
-    """Test API key generation consistency under concurrent load"""
-
-    # Generate a single token
-    token = await testmint_wallet.mint_tokens(1000)
-
-    # First request to create the API key
-    integration_client.headers["Authorization"] = f"Bearer {token}"
-    initial_response = await integration_client.get("/v1/wallet/info")
-    assert initial_response.status_code == 200
-    expected_api_key = initial_response.json()["api_key"]
-    expected_balance = initial_response.json()["balance"]
-
-    # Try to use the same token concurrently multiple times
-    # All should return the same API key since it's already created
-    requests = [
-        {
-            "method": "GET",
-            "url": "/v1/wallet/info",
-            "headers": {"Authorization": f"Bearer {token}"},
-        }
-        for _ in range(20)  # 20 concurrent attempts
-    ]
-
-    tester = ConcurrencyTester()
-    responses = await tester.run_concurrent_requests(
-        integration_client, requests, max_concurrent=10
-    )
-
-    # All should succeed and return the same API key
-    for response in responses:
-        assert response.status_code == 200
-        data = response.json()
-        assert data["api_key"] == expected_api_key
-        assert data["balance"] == expected_balance
-
-
 @pytest.mark.integration
 @pytest.mark.asyncio
 async def test_database_timestamp_accuracy(

tests/integration/test_wallet_information.py

@@ -13,7 +13,7 @@ from sqlmodel import select, update
 
 from routstr.core.db import ApiKey
 
-from .utils import ConcurrencyTester, ResponseValidator
+from .utils import ResponseValidator
 
 
 @pytest.mark.integration
@@ -204,45 +204,6 @@ async def test_expired_api_key_behavior(
     assert db_key.refund_address == "test@lightning.address"
 
 
-@pytest.mark.integration
-@pytest.mark.asyncio
-async def test_concurrent_access_same_api_key(
-    integration_client: AsyncClient, authenticated_client: AsyncClient
-) -> None:
-    """Test concurrent access with the same API key"""
-
-    # Get the API key from authenticated client
-    response = await authenticated_client.get("/v1/wallet/")
-    api_key = response.json()["api_key"]
-    initial_balance = response.json()["balance"]
-
-    # Create multiple concurrent requests
-    requests = []
-    for i in range(20):
-        # Alternate between both endpoints
-        endpoint = "/v1/wallet/" if i % 2 == 0 else "/v1/wallet/info"
-        requests.append(
-            {
-                "method": "GET",
-                "url": endpoint,
-                "headers": {"Authorization": f"Bearer {api_key}"},
-            }
-        )
-
-    # Execute concurrently
-    tester = ConcurrencyTester()
-    responses = await tester.run_concurrent_requests(
-        integration_client, requests, max_concurrent=10
-    )
-
-    # All should succeed with consistent data
-    for response in responses:
-        assert response.status_code == 200
-        data = response.json()
-        assert data["api_key"] == api_key
-        assert data["balance"] == initial_balance
-
-
 @pytest.mark.integration
 @pytest.mark.asyncio
 async def test_wallet_info_data_consistency(

tests/integration/test_wallet_topup.py

@@ -15,7 +15,6 @@ from routstr.core.db import ApiKey
 
 from .utils import (
     CashuTokenGenerator,
-    ConcurrencyTester,
     ResponseValidator,
 )
 
@@ -284,60 +283,6 @@ async def test_transaction_history_tracking(  # type: ignore[no-untyped-def]
     assert response.status_code == 400
 
 
-@pytest.mark.integration
-@pytest.mark.asyncio
-async def test_concurrent_topups_same_api_key(  # type: ignore[no-untyped-def]
-    integration_client: AsyncClient,
-    authenticated_client: AsyncClient,
-    testmint_wallet: Any,
-) -> None:
-    """Test concurrent top-ups to the same API key"""
-
-    # Get API key
-    response = await authenticated_client.get("/v1/wallet/")
-    api_key = response.json()["api_key"]
-    initial_balance = response.json()["balance"]
-
-    # Generate multiple unique tokens
-    num_tokens = 10
-    tokens = []
-    total_amount = 0
-
-    for i in range(num_tokens):
-        amount = 100 + i * 10  # Different amounts
-        token = await testmint_wallet.mint_tokens(amount)
-        tokens.append(token)
-        total_amount += amount
-
-    # Create concurrent top-up requests
-    requests = [
-        {
-            "method": "POST",
-            "url": "/v1/wallet/topup",
-            "params": {"cashu_token": token},
-            "headers": {"Authorization": f"Bearer {api_key}"},
-        }
-        for token in tokens
-    ]
-
-    # Execute concurrently
-    tester = ConcurrencyTester()
-    responses = await tester.run_concurrent_requests(
-        integration_client, requests, max_concurrent=5
-    )
-
-    # All should succeed
-    for response in responses:
-        assert response.status_code == 200
-        assert "msats" in response.json()
-
-    # Verify final balance is correct
-    final_response = await authenticated_client.get("/v1/wallet/")
-    final_balance = final_response.json()["balance"]
-    expected_balance = initial_balance + (total_amount * 1000)
-    assert final_balance == expected_balance
-
-
 @pytest.mark.integration
 @pytest.mark.asyncio
 async def test_topup_during_active_proxy_request(  # type: ignore[no-untyped-def]

ui/app/logs/log-filters.tsx

@@ -21,7 +21,17 @@ import {
   PopoverTrigger,
 } from '@/components/ui/popover';
 import { Calendar } from '@/components/ui/calendar';
-import { CalendarIcon, Filter, X } from 'lucide-react';
+import { Badge } from '@/components/ui/badge';
+import {
+  Command,
+  CommandEmpty,
+  CommandGroup,
+  CommandInput,
+  CommandItem,
+  CommandList,
+} from '@/components/ui/command';
+import { Checkbox } from '@/components/ui/checkbox';
+import { CalendarIcon, Filter, X, Plus } from 'lucide-react';
 import { useState, useEffect } from 'react';
 import { format } from 'date-fns';
 import { cn } from '@/lib/utils';
@@ -31,11 +41,17 @@ interface LogFiltersProps {
   selectedLevel: string;
   requestId: string;
   searchText: string;
+  selectedStatusCodes: string[];
+  selectedMethods: string[];
+  selectedEndpoints: string[];
   limit: number;
   onDateChange: (date: string) => void;
   onLevelChange: (level: string) => void;
   onRequestIdChange: (requestId: string) => void;
   onSearchTextChange: (searchText: string) => void;
+  onStatusCodesChange: (statusCodes: string[]) => void;
+  onMethodsChange: (methods: string[]) => void;
+  onEndpointsChange: (endpoints: string[]) => void;
   onLimitChange: (limit: number) => void;
   onClearFilters: () => void;
 }
@@ -43,16 +59,87 @@ interface LogFiltersProps {
 const LOG_LEVELS = ['TRACE', 'DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'];
 const PRESET_LIMITS = ['25', '50', '100', '200', '500', '1000'];
 
+const STATUS_CODE_OPTIONS = [
+  '200',
+  '201',
+  '204',
+  '400',
+  '401',
+  '402',
+  '403',
+  '404',
+  '422',
+  '429',
+  '500',
+  '502',
+  '503',
+  '504',
+];
+
+const METHOD_OPTIONS = [
+  'GET',
+  'POST',
+  'PUT',
+  'DELETE',
+  'PATCH',
+  'OPTIONS',
+  'HEAD',
+];
+
+const ENDPOINT_OPTIONS = [
+  '/chat/completions',
+  '/v1/chat/completions',
+  '/models',
+  '/v1/models',
+  '/responses',
+  '/v1/responses',
+  'v1/embeddings/models',
+  '/embeddings/models',
+];
+
+interface FilterBadgeProps {
+  value: string;
+  onRemove: (value: string) => void;
+}
+
+function FilterBadge({ value, onRemove }: FilterBadgeProps) {
+  return (
+    <Badge
+      variant='secondary'
+      className='flex items-center gap-1 px-1 font-normal'
+    >
+      {value}
+      <button
+        type='button'
+        onClick={(e) => {
+          e.preventDefault();
+          e.stopPropagation();
+          onRemove(value);
+        }}
+        className='hover:bg-muted-foreground/20 rounded-full'
+      >
+        <X className='h-3 w-3' />
+      </button>
+    </Badge>
+  );
+}
+
 export function LogFilters({
   selectedDate,
   selectedLevel,
   requestId,
   searchText,
+  selectedStatusCodes,
+  selectedMethods,
+  selectedEndpoints,
   limit,
   onDateChange,
   onLevelChange,
   onRequestIdChange,
   onSearchTextChange,
+  onStatusCodesChange,
+  onMethodsChange,
+  onEndpointsChange,
   onLimitChange,
   onClearFilters,
 }: LogFiltersProps) {
@@ -68,6 +155,10 @@ export function LogFilters({
       : undefined
   );
 
+  const [statusSearch, setStatusSearch] = useState('');
+  const [methodSearch, setMethodSearch] = useState('');
+  const [endpointSearch, setEndpointSearch] = useState('');
+
   useEffect(() => {
     const currentIsPreset = PRESET_LIMITS.includes(limit.toString());
     setIsCustom(!currentIsPreset);
@@ -129,6 +220,31 @@ export function LogFilters({
     }
   };
 
+  const toggleSelection = (
+    current: string[],
+    value: string,
+    onChange: (val: string[]) => void
+  ) => {
+    if (current.includes(value)) {
+      onChange(current.filter((v) => v !== value));
+    } else {
+      onChange([...current, value]);
+    }
+  };
+
+  const handleQuickStatusCode = (range: '4xx' | '5xx') => {
+    const codes = STATUS_CODE_OPTIONS.filter((c) => c.startsWith(range[0]));
+    const newSelection = new Set([...selectedStatusCodes]);
+    const allIncluded = codes.every((c) => selectedStatusCodes.includes(c));
+
+    if (allIncluded) {
+      codes.forEach((c) => newSelection.delete(c));
+    } else {
+      codes.forEach((c) => newSelection.add(c));
+    }
+    onStatusCodesChange(Array.from(newSelection));
+  };
+
   return (
     <Card className='mb-6'>
       <CardHeader>
@@ -137,7 +253,8 @@ export function LogFilters({
           Filters
         </CardTitle>
         <CardDescription>
-          Filter logs by date, level, request ID, text search, and limit
+          Filter logs by date, level, request ID, text search, status code,
+          method, endpoint and limit
         </CardDescription>
       </CardHeader>
       <CardContent>
@@ -197,6 +314,337 @@ export function LogFilters({
             </Select>
           </div>
 
+          <div className='space-y-2'>
+            <Label>Status Codes</Label>
+            <Popover>
+              <PopoverTrigger asChild>
+                <Button
+                  variant='outline'
+                  className='w-full justify-start text-left font-normal'
+                >
+                  <div className='flex flex-wrap gap-1'>
+                    {selectedStatusCodes.length > 0 ? (
+                      selectedStatusCodes.map((code) => (
+                        <FilterBadge
+                          key={code}
+                          value={code}
+                          onRemove={(val) =>
+                            toggleSelection(
+                              selectedStatusCodes,
+                              val,
+                              onStatusCodesChange
+                            )
+                          }
+                        />
+                      ))
+                    ) : (
+                      <span className='text-muted-foreground'>All codes</span>
+                    )}
+                  </div>
+                </Button>
+              </PopoverTrigger>
+              <PopoverContent className='w-64 p-0' align='start'>
+                <Command>
+                  <CommandInput
+                    placeholder='Search or add status code...'
+                    value={statusSearch}
+                    onValueChange={setStatusSearch}
+                  />
+                  <CommandList>
+                    {selectedStatusCodes.length > 0 && (
+                      <CommandGroup heading='Selected'>
+                        {selectedStatusCodes.map((code) => (
+                          <CommandItem
+                            key={`selected-${code}`}
+                            onSelect={() =>
+                              toggleSelection(
+                                selectedStatusCodes,
+                                code,
+                                onStatusCodesChange
+                              )
+                            }
+                          >
+                            <Checkbox checked={true} className='mr-2' />
+                            {code}
+                          </CommandItem>
+                        ))}
+                      </CommandGroup>
+                    )}
+                    {statusSearch &&
+                      !STATUS_CODE_OPTIONS.includes(statusSearch) &&
+                      !selectedStatusCodes.includes(statusSearch) && (
+                        <CommandGroup heading='Custom'>
+                          <CommandItem
+                            onSelect={() => {
+                              if (/^\d+$/.test(statusSearch)) {
+                                toggleSelection(
+                                  selectedStatusCodes,
+                                  statusSearch,
+                                  onStatusCodesChange
+                                );
+                                setStatusSearch('');
+                              }
+                            }}
+                          >
+                            <Plus className='mr-2 h-4 w-4' />
+                            Add &quot;{statusSearch}&quot;
+                          </CommandItem>
+                        </CommandGroup>
+                      )}
+                    <CommandEmpty>No results found.</CommandEmpty>
+                    <CommandGroup heading='Quick Filters'>
+                      <CommandItem
+                        onSelect={() => handleQuickStatusCode('4xx')}
+                      >
+                        <Checkbox
+                          checked={STATUS_CODE_OPTIONS.filter((c) =>
+                            c.startsWith('4')
+                          ).every((c) => selectedStatusCodes.includes(c))}
+                          className='mr-2'
+                        />
+                        4xx Errors
+                      </CommandItem>
+                      <CommandItem
+                        onSelect={() => handleQuickStatusCode('5xx')}
+                      >
+                        <Checkbox
+                          checked={STATUS_CODE_OPTIONS.filter((c) =>
+                            c.startsWith('5')
+                          ).every((c) => selectedStatusCodes.includes(c))}
+                          className='mr-2'
+                        />
+                        5xx Errors
+                      </CommandItem>
+                    </CommandGroup>
+                    <CommandGroup heading='Common Codes'>
+                      {STATUS_CODE_OPTIONS.filter(
+                        (code) => !selectedStatusCodes.includes(code)
+                      ).map((code) => (
+                        <CommandItem
+                          key={code}
+                          onSelect={() =>
+                            toggleSelection(
+                              selectedStatusCodes,
+                              code,
+                              onStatusCodesChange
+                            )
+                          }
+                        >
+                          <Checkbox checked={false} className='mr-2' />
+                          {code}
+                        </CommandItem>
+                      ))}
+                    </CommandGroup>
+                  </CommandList>
+                </Command>
+              </PopoverContent>
+            </Popover>
+          </div>
+
+          <div className='space-y-2'>
+            <Label>HTTP Methods</Label>
+            <Popover>
+              <PopoverTrigger asChild>
+                <Button
+                  variant='outline'
+                  className='w-full justify-start text-left font-normal'
+                >
+                  <div className='flex flex-wrap gap-1'>
+                    {selectedMethods.length > 0 ? (
+                      selectedMethods.map((method) => (
+                        <FilterBadge
+                          key={method}
+                          value={method}
+                          onRemove={(val) =>
+                            toggleSelection(
+                              selectedMethods,
+                              val,
+                              onMethodsChange
+                            )
+                          }
+                        />
+                      ))
+                    ) : (
+                      <span className='text-muted-foreground'>All methods</span>
+                    )}
+                  </div>
+                </Button>
+              </PopoverTrigger>
+              <PopoverContent className='w-64 p-0' align='start'>
+                <Command>
+                  <CommandInput
+                    placeholder='Search or add method...'
+                    value={methodSearch}
+                    onValueChange={setMethodSearch}
+                  />
+                  <CommandList>
+                    {selectedMethods.length > 0 && (
+                      <CommandGroup heading='Selected'>
+                        {selectedMethods.map((method) => (
+                          <CommandItem
+                            key={`selected-${method}`}
+                            onSelect={() =>
+                              toggleSelection(
+                                selectedMethods,
+                                method,
+                                onMethodsChange
+                              )
+                            }
+                          >
+                            <Checkbox checked={true} className='mr-2' />
+                            {method}
+                          </CommandItem>
+                        ))}
+                      </CommandGroup>
+                    )}
+                    {methodSearch &&
+                      !METHOD_OPTIONS.includes(methodSearch.toUpperCase()) &&
+                      !selectedMethods.includes(methodSearch.toUpperCase()) && (
+                        <CommandGroup heading='Custom'>
+                          <CommandItem
+                            onSelect={() => {
+                              toggleSelection(
+                                selectedMethods,
+                                methodSearch.toUpperCase(),
+                                onMethodsChange
+                              );
+                              setMethodSearch('');
+                            }}
+                          >
+                            <Plus className='mr-2 h-4 w-4' />
+                            Add &quot;{methodSearch.toUpperCase()}&quot;
+                          </CommandItem>
+                        </CommandGroup>
+                      )}
+                    <CommandEmpty>No results found.</CommandEmpty>
+                    <CommandGroup>
+                      {METHOD_OPTIONS.filter(
+                        (method) => !selectedMethods.includes(method)
+                      ).map((method) => (
+                        <CommandItem
+                          key={method}
+                          onSelect={() =>
+                            toggleSelection(
+                              selectedMethods,
+                              method,
+                              onMethodsChange
+                            )
+                          }
+                        >
+                          <Checkbox checked={false} className='mr-2' />
+                          {method}
+                        </CommandItem>
+                      ))}
+                    </CommandGroup>
+                  </CommandList>
+                </Command>
+              </PopoverContent>
+            </Popover>
+          </div>
+
+          <div className='space-y-2'>
+            <Label>Endpoints</Label>
+            <Popover>
+              <PopoverTrigger asChild>
+                <Button
+                  variant='outline'
+                  className='w-full justify-start text-left font-normal'
+                >
+                  <div className='flex flex-wrap gap-1 overflow-hidden'>
+                    {selectedEndpoints.length > 0 ? (
+                      selectedEndpoints.map((endpoint) => (
+                        <FilterBadge
+                          key={endpoint}
+                          value={endpoint}
+                          onRemove={(val) =>
+                            toggleSelection(
+                              selectedEndpoints,
+                              val,
+                              onEndpointsChange
+                            )
+                          }
+                        />
+                      ))
+                    ) : (
+                      <span className='text-muted-foreground'>
+                        All endpoints
+                      </span>
+                    )}
+                  </div>
+                </Button>
+              </PopoverTrigger>
+              <PopoverContent className='w-80 p-0' align='start'>
+                <Command>
+                  <CommandInput
+                    placeholder='Search or add endpoint pattern...'
+                    value={endpointSearch}
+                    onValueChange={setEndpointSearch}
+                  />
+                  <CommandList>
+                    {selectedEndpoints.length > 0 && (
+                      <CommandGroup heading='Selected'>
+                        {selectedEndpoints.map((endpoint) => (
+                          <CommandItem
+                            key={`selected-${endpoint}`}
+                            onSelect={() =>
+                              toggleSelection(
+                                selectedEndpoints,
+                                endpoint,
+                                onEndpointsChange
+                              )
+                            }
+                          >
+                            <Checkbox checked={true} className='mr-2' />
+                            {endpoint}
+                          </CommandItem>
+                        ))}
+                      </CommandGroup>
+                    )}
+                    {endpointSearch &&
+                      !ENDPOINT_OPTIONS.includes(endpointSearch) &&
+                      !selectedEndpoints.includes(endpointSearch) && (
+                        <CommandGroup heading='Custom'>
+                          <CommandItem
+                            onSelect={() => {
+                              toggleSelection(
+                                selectedEndpoints,
+                                endpointSearch,
+                                onEndpointsChange
+                              );
+                              setEndpointSearch('');
+                            }}
+                          >
+                            <Plus className='mr-2 h-4 w-4' />
+                            Add &quot;{endpointSearch}&quot;
+                          </CommandItem>
+                        </CommandGroup>
+                      )}
+                    <CommandEmpty>No results found.</CommandEmpty>
+                    <CommandGroup heading='Common Endpoints'>
+                      {ENDPOINT_OPTIONS.filter(
+                        (endpoint) => !selectedEndpoints.includes(endpoint)
+                      ).map((endpoint) => (
+                        <CommandItem
+                          key={endpoint}
+                          onSelect={() =>
+                            toggleSelection(
+                              selectedEndpoints,
+                              endpoint,
+                              onEndpointsChange
+                            )
+                          }
+                        >
+                          <Checkbox checked={false} className='mr-2' />
+                          {endpoint}
+                        </CommandItem>
+                      ))}
+                    </CommandGroup>
+                  </CommandList>
+                </Command>
+              </PopoverContent>
+            </Popover>
+          </div>
+
           <div className='space-y-2'>
             <Label htmlFor='request-id'>Request ID</Label>
             <Input

ui/app/logs/page.tsx

@@ -1,6 +1,6 @@
 'use client';
 
-import { useState } from 'react';
+import { useState, useEffect } from 'react';
 import { useQuery } from '@tanstack/react-query';
 import { AppSidebar } from '@/components/app-sidebar';
 import { SiteHeader } from '@/components/site-header';
@@ -22,15 +22,66 @@ import { LogFilters } from './log-filters';
 import { LogEntryCard } from './log-entry-card';
 import { LogDetailsDialog } from './log-details-dialog';
 
+const STORAGE_KEY = 'routstr-log-filters';
+
 export default function LogsPage() {
   const [selectedDate, setSelectedDate] = useState<string>('all');
   const [selectedLevel, setSelectedLevel] = useState<string>('all');
   const [requestId, setRequestId] = useState<string>('');
   const [searchText, setSearchText] = useState<string>('');
+  const [selectedStatusCodes, setSelectedStatusCodes] = useState<string[]>([]);
+  const [selectedMethods, setSelectedMethods] = useState<string[]>([]);
+  const [selectedEndpoints, setSelectedEndpoints] = useState<string[]>([]);
   const [limit, setLimit] = useState<number>(100);
   const [selectedLog, setSelectedLog] = useState<LogEntry | null>(null);
   const [isDialogOpen, setIsDialogOpen] = useState<boolean>(false);
 
+  // Load filters from localStorage on mount
+  useEffect(() => {
+    const saved = localStorage.getItem(STORAGE_KEY);
+    if (saved) {
+      try {
+        const parsed = JSON.parse(saved);
+        if (parsed.selectedDate) setSelectedDate(parsed.selectedDate);
+        if (parsed.selectedLevel) setSelectedLevel(parsed.selectedLevel);
+        if (parsed.requestId) setRequestId(parsed.requestId);
+        if (parsed.searchText) setSearchText(parsed.searchText);
+        if (parsed.selectedStatusCodes)
+          setSelectedStatusCodes(parsed.selectedStatusCodes);
+        if (parsed.selectedMethods) setSelectedMethods(parsed.selectedMethods);
+        if (parsed.selectedEndpoints)
+          setSelectedEndpoints(parsed.selectedEndpoints);
+        if (parsed.limit) setLimit(parsed.limit);
+      } catch (e) {
+        console.error('Failed to load filters from localStorage', e);
+      }
+    }
+  }, []);
+
+  // Save filters to localStorage whenever they change
+  useEffect(() => {
+    const filters = {
+      selectedDate,
+      selectedLevel,
+      requestId,
+      searchText,
+      selectedStatusCodes,
+      selectedMethods,
+      selectedEndpoints,
+      limit,
+    };
+    localStorage.setItem(STORAGE_KEY, JSON.stringify(filters));
+  }, [
+    selectedDate,
+    selectedLevel,
+    requestId,
+    searchText,
+    selectedStatusCodes,
+    selectedMethods,
+    selectedEndpoints,
+    limit,
+  ]);
+
   const {
     data: logsData,
     refetch: refetchLogs,
@@ -42,6 +93,9 @@ export default function LogsPage() {
       selectedLevel,
       requestId,
       searchText,
+      selectedStatusCodes,
+      selectedMethods,
+      selectedEndpoints,
       limit,
     ],
     queryFn: () =>
@@ -50,6 +104,16 @@ export default function LogsPage() {
         level: selectedLevel === 'all' ? undefined : selectedLevel,
         request_id: requestId || undefined,
         search: searchText || undefined,
+        status_codes:
+          selectedStatusCodes.length > 0
+            ? selectedStatusCodes.join(',')
+            : undefined,
+        methods:
+          selectedMethods.length > 0 ? selectedMethods.join(',') : undefined,
+        endpoints:
+          selectedEndpoints.length > 0
+            ? selectedEndpoints.join(',')
+            : undefined,
         limit: limit,
       }),
     refetchInterval: 30000,
@@ -60,6 +124,9 @@ export default function LogsPage() {
     setSelectedLevel('all');
     setRequestId('');
     setSearchText('');
+    setSelectedStatusCodes([]);
+    setSelectedMethods([]);
+    setSelectedEndpoints([]);
     setLimit(100);
   };
 
@@ -100,11 +167,17 @@ export default function LogsPage() {
             selectedLevel={selectedLevel}
             requestId={requestId}
             searchText={searchText}
+            selectedStatusCodes={selectedStatusCodes}
+            selectedMethods={selectedMethods}
+            selectedEndpoints={selectedEndpoints}
             limit={limit}
             onDateChange={setSelectedDate}
             onLevelChange={setSelectedLevel}
             onRequestIdChange={setRequestId}
             onSearchTextChange={setSearchText}
+            onStatusCodesChange={setSelectedStatusCodes}
+            onMethodsChange={setSelectedMethods}
+            onEndpointsChange={setSelectedEndpoints}
             onLimitChange={setLimit}
             onClearFilters={handleClearFilters}
           />
@@ -122,13 +195,22 @@ export default function LogsPage() {
               {(selectedDate !== 'all' ||
                 selectedLevel !== 'all' ||
                 requestId ||
-                searchText) && (
+                searchText ||
+                selectedStatusCodes.length > 0 ||
+                selectedMethods.length > 0 ||
+                selectedEndpoints.length > 0) && (
                 <CardDescription className='text-xs sm:text-sm'>
                   Showing logs
                   {selectedDate !== 'all' && ` for ${selectedDate}`}
                   {selectedLevel !== 'all' && ` with level ${selectedLevel}`}
                   {requestId && ` with request ID ${requestId}`}
                   {searchText && ` matching "${searchText}"`}
+                  {selectedStatusCodes.length > 0 &&
+                    ` with status ${selectedStatusCodes.join(', ')}`}
+                  {selectedMethods.length > 0 &&
+                    ` with method ${selectedMethods.join(', ')}`}
+                  {selectedEndpoints.length > 0 &&
+                    ` with endpoint ${selectedEndpoints.join(', ')}`}
                 </CardDescription>
               )}
             </CardHeader>

ui/app/logs/types.ts

@@ -17,6 +17,9 @@ export interface LogsResponse {
   level: string | null;
   request_id: string | null;
   search: string | null;
+  status_codes: string | null;
+  methods: string | null;
+  endpoints: string | null;
   limit: number;
 }
 

ui/components/ModelSearchFilter.tsx

@@ -41,6 +41,10 @@ export function ModelSearchFilter({
           model.name.toLowerCase().includes(query) ||
           model.full_name.toLowerCase().includes(query) ||
           model.provider.toLowerCase().includes(query) ||
+          (model.alias_ids &&
+            model.alias_ids.some((alias) =>
+              alias.toLowerCase().includes(query)
+            )) ||
           (model.description &&
             model.description.toLowerCase().includes(query)) ||
           model.modelType.toLowerCase().includes(query)

ui/components/ModelSelector.tsx

@@ -542,6 +542,7 @@ export function ModelSelector({
       top_provider: null,
       upstream_provider_id: providerId,
       enabled: model.isEnabled,
+      alias_ids: model.alias_ids || null,
     };
 
     setModelDialogState({
@@ -585,6 +586,7 @@ export function ModelSelector({
       top_provider: null,
       upstream_provider_id: providerId,
       enabled: model.isEnabled,
+      alias_ids: model.alias_ids || null,
     };
 
     setModelDialogState({

ui/lib/api/schemas/models.ts

@@ -31,6 +31,7 @@ export const ModelSchema = z.object({
   // API key type indicators
   has_own_api_key: z.boolean(),
   api_key_type: z.string(), // "individual" or "group"
+  alias_ids: z.array(z.string()).nullable().optional(),
 });
 
 // Schema for a model with additional provider-specific settings

ui/lib/api/services/admin.ts

@@ -121,6 +121,7 @@ export interface AdminModelAsModel {
   soft_deleted?: boolean;
   has_own_api_key: boolean;
   api_key_type: string;
+  alias_ids?: string[] | null;
 }
 
 export interface AdminModelGroup {
@@ -207,6 +208,7 @@ export class AdminService {
       soft_deleted: !adminModel.enabled,
       has_own_api_key: false,
       api_key_type: 'group',
+      alias_ids: adminModel.alias_ids,
     };
   }
 
@@ -354,8 +356,9 @@ export class AdminService {
       original: data.pricing,
       converted: payload.pricing,
     });
-    const model = await apiClient.patch<AdminModel>(
-      `/admin/api/upstream-providers/${providerId}/models/${encodeURIComponent(modelId)}`,
+    // Use the same POST endpoint for both create and update (upsert)
+    const model = await apiClient.post<AdminModel>(
+      `/admin/api/upstream-providers/${providerId}/models`,
       payload
     );
     return {