Merge branch 'v0.3.0' into claude-code

# Conflicts:
#	routstr/upstream/base.py

.github/workflows/test.yml

@@ -59,25 +59,30 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
+      - name: Setup pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 10
+
       - name: Setup Node.js
         uses: actions/setup-node@v4
         with:
           node-version: "18"
-          cache: "npm"
+          cache: "pnpm"
-          cache-dependency-path: ui/package-lock.json
+          cache-dependency-path: ui/pnpm-lock.yaml
 
       - name: Install UI dependencies
         working-directory: ./ui
-        run: npm ci
+        run: pnpm install --frozen-lockfile
 
       - name: Run UI format check
         working-directory: ./ui
-        run: npm run format-check
+        run: pnpm run format-check
 
       - name: Run UI linting
         working-directory: ./ui
-        run: npm run lint
+        run: pnpm run lint
 
       - name: Run UI build
         working-directory: ./ui
-        run: npm run build
+        run: pnpm run build

cursor-problems/REPRODUCE.md

@@ -1,44 +0,0 @@
-# Reproducing Cursor Problems
-
-Each subdirectory contains a `request.json` (the request body) and `response.json` (the error response received).
-
-## Using curl to reproduce
-
-From the `routstr-core/` directory:
-
-```bash
-# OpenAI model error
-curl -X POST https://staging.routstr.com/v1/chat/completions \
-  -H "Content-Type: application/json" \
-  -H "Authorization: Bearer $API_KEY" \
-  -d @cursor-problems/openai-model-error/request.json
-
-# Anthropic internal error
-curl -X POST https://staging.routstr.com/v1/chat/completions \
-  -H "Content-Type: application/json" \
-  -H "Authorization: Bearer $API_KEY" \
-  -d @cursor-problems/anthropic-internal-error/request.json
-
-# Model not found error
-curl -X POST https://staging.routstr.com/v1/chat/completions \
-  -H "Content-Type: application/json" \
-  -H "Authorization: Bearer $API_KEY" \
-  -d @cursor-problems/model-not-found-error/request.json
-
-# Upstream rate limit error
-curl -X POST https://staging.routstr.com/v1/chat/completions \
-  -H "Content-Type: application/json" \
-  -H "Authorization: Bearer $API_KEY" \
-  -d @cursor-problems/upstream-rate-limit-error/request.json
-```
-
-## Generic pattern
-
-```bash
-curl -X POST <API_ENDPOINT> \
-  -H "Content-Type: application/json" \
-  -H "Authorization: Bearer $API_KEY" \
-  -d @cursor-problems/<directory>/request.json
-```
-
-The `-d @filename` syntax tells curl to read the request body from a file.

cursor-problems/anthropic-internal-error/response.json

@@ -1,8 +0,0 @@
-{
-    "error": {
-        "message": "Internal Server Error",
-        "type": "upstream_error",
-        "code": 502
-    },
-    "request_id": "4a04e4f8-4a31-45f1-8189-455c86fc4e89"
-}

cursor-problems/model-not-found-error/response.json

@@ -1,8 +0,0 @@
-{
-    "error": {
-        "message": "Model 'claude-4.5-sonnet-thinking' not found",
-        "type": "invalid_model",
-        "code": 400
-    },
-    "request_id": "d410f512-3221-4047-a4ee-9be6e3fabe38"
-}

cursor-problems/openai-model-error/response.json

@@ -1,8 +0,0 @@
-{
-    "error": {
-        "message": "Input required: specify \"prompt\" or \"messages\"",
-        "type": "invalid_request_error",
-        "code": 400
-    },
-    "request_id": "586e0aec-351f-413a-8641-ddda4a0cbadf"
-}

cursor-problems/upstream-rate-limit-error/response.json

@@ -1,8 +0,0 @@
-{
-    "error": {
-        "message": "Upstream request failed",
-        "type": "rate_limit_exceeded",
-        "code": 429
-    },
-    "request_id": "80657fc6-4bca-4cb1-945d-ea65ec8a53c4"
-}

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
+)

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "routstr"
-version = "0.2.1"
+version = "0.2.2"
 description = "Payment proxy for your LLM endpoint using cashu and nostr."
 readme = "README.md"
 requires-python = ">=3.11"
@@ -73,6 +73,7 @@ packages = ["routstr"]
 [tool.ruff.lint]
 select = ["E", "F", "I"]
 ignore = ["E501"]
+exclude = ["examples"]
 
 [tool.mypy]
 python_version = "3.11"

routstr/auth.py

@@ -441,6 +441,29 @@ async def adjust_payment_for_tokens(
         },
     )
 
+    async def release_reservation_only() -> None:
+        """Fallback to release reservation without charging when main update fails."""
+        try:
+            release_stmt = (
+                update(ApiKey)
+                .where(col(ApiKey.hashed_key) == key.hashed_key)
+                .values(reserved_balance=col(ApiKey.reserved_balance) - deducted_max_cost)
+            )
+            await session.exec(release_stmt)  # type: ignore[call-overload]
+            await session.commit()
+            logger.warning(
+                "Released reservation without charging (fallback)",
+                extra={
+                    "key_hash": key.hashed_key[:8] + "...",
+                    "deducted_max_cost": deducted_max_cost,
+                },
+            )
+        except Exception as e:
+            logger.error(
+                "Failed to release reservation in fallback",
+                extra={"error": str(e), "key_hash": key.hashed_key[:8] + "..."},
+            )
+
     match await calculate_cost(response_data, deducted_max_cost, session):
         case MaxCostData() as cost:
             logger.debug(
@@ -465,7 +488,7 @@ async def adjust_payment_for_tokens(
             await session.commit()
             if result.rowcount == 0:
                 logger.error(
-                    "Failed to finalize max-cost payment - insufficient reserved balance",
+                    "Failed to finalize max-cost payment - retrying reservation release",
                     extra={
                         "key_hash": key.hashed_key[:8] + "...",
                         "deducted_max_cost": deducted_max_cost,
@@ -474,6 +497,7 @@ async def adjust_payment_for_tokens(
                         "model": model,
                     },
                 )
+                await release_reservation_only()
             else:
                 await session.refresh(key)
                 logger.info(
@@ -568,13 +592,14 @@ async def adjust_payment_for_tokens(
                     )
                 else:
                     logger.warning(
-                        "Failed to finalize additional charge (concurrent operation)",
+                        "Failed to finalize additional charge - releasing reservation",
                         extra={
                             "key_hash": key.hashed_key[:8] + "...",
                             "attempted_charge": total_cost_msats,
                             "model": model,
                         },
                     )
+                    await release_reservation_only()
             else:
                 # Refund some of the base cost
                 refund = abs(cost_difference)
@@ -603,7 +628,7 @@ async def adjust_payment_for_tokens(
 
                 if result.rowcount == 0:
                     logger.error(
-                        "Failed to finalize payment - insufficient reserved balance",
+                        "Failed to finalize payment - releasing reservation",
                         extra={
                             "key_hash": key.hashed_key[:8] + "...",
                             "deducted_max_cost": deducted_max_cost,
@@ -612,28 +637,27 @@ async def adjust_payment_for_tokens(
                             "model": model,
                         },
                     )
-                    # Still return the cost data even if we couldn't properly finalize
+                    await release_reservation_only()
-                    # The reservation was already made, so the user has paid
+                else:
+                    cost.total_msats = total_cost_msats
+                    await session.refresh(key)
 
-                cost.total_msats = total_cost_msats
+                    logger.info(
-                await session.refresh(key)
+                        "Refund processed successfully",
-
+                        extra={
-                logger.info(
+                            "key_hash": key.hashed_key[:8] + "...",
-                    "Refund processed successfully",
+                            "refunded_amount": refund,
-                    extra={
+                            "new_balance": key.balance,
-                        "key_hash": key.hashed_key[:8] + "...",
+                            "final_cost": cost.total_msats,
-                        "refunded_amount": refund,
+                            "model": model,
-                        "new_balance": key.balance,
+                        },
-                        "final_cost": cost.total_msats,
+                    )
-                        "model": model,
-                    },
-                )
 
             return cost.dict()
 
         case CostDataError() as error:
             logger.error(
-                "Cost calculation error during payment adjustment",
+                "Cost calculation error during payment adjustment - releasing reservation",
                 extra={
                     "key_hash": key.hashed_key[:8] + "...",
                     "model": model,
@@ -641,6 +665,7 @@ async def adjust_payment_for_tokens(
                     "error_code": error.code,
                 },
             )
+            await release_reservation_only()
 
             raise HTTPException(
                 status_code=400,
@@ -652,7 +677,12 @@ async def adjust_payment_for_tokens(
                     }
                 },
             )
-    # Fallback return to satisfy type checker; execution should not reach here
+    # Fallback: should not reach here, but release reservation just in case
+    logger.error(
+        "Unexpected fallback in adjust_payment_for_tokens - releasing reservation",
+        extra={"key_hash": key.hashed_key[:8] + "...", "model": model},
+    )
+    await release_reservation_only()
     return {
         "base_msats": deducted_max_cost,
         "input_msats": 0,

routstr/balance.py

@@ -154,7 +154,8 @@ async def refund_wallet_endpoint(
         return cached
 
     key: ApiKey = await validate_bearer_key(bearer_value, session)
-    remaining_balance_msats: int = key.balance
+
+    remaining_balance_msats: int = key.total_balance
 
     if key.refund_currency == "sat":
         remaining_balance = remaining_balance_msats // 1000

routstr/core/admin.py

@@ -3080,6 +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]:
     """
@@ -3090,16 +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,
     )
 
@@ -3110,6 +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

@@ -6,7 +6,7 @@ from typing import AsyncGenerator
 from alembic import command
 from alembic.config import Config
 from sqlalchemy.ext.asyncio.engine import create_async_engine
-from sqlmodel import Field, Relationship, SQLModel, func, select
+from sqlmodel import Field, Relationship, SQLModel, func, select, update
 from sqlmodel.ext.asyncio.session import AsyncSession
 
 from .logging import get_logger
@@ -53,6 +53,14 @@ class ApiKey(SQLModel, table=True):  # type: ignore
         return self.balance - self.reserved_balance
 
 
+async def reset_all_reserved_balances(session: AsyncSession) -> None:
+    logger.info("Resetting all reserved balances to 0")
+    stmt = update(ApiKey).values(reserved_balance=0)
+    await session.exec(stmt)  # type: ignore[call-overload]
+    await session.commit()
+    logger.info("Reserved balances reset successfully")
+
+
 class ModelRow(SQLModel, table=True):  # type: ignore
     __tablename__ = "models"
     id: str = Field(primary_key=True)

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

@@ -33,9 +33,9 @@ setup_logging()
 logger = get_logger(__name__)
 
 if os.getenv("VERSION_SUFFIX") is not None:
-    __version__ = f"0.2.1-{os.getenv('VERSION_SUFFIX')}"
+    __version__ = f"0.2.2-{os.getenv('VERSION_SUFFIX')}"
 else:
-    __version__ = "0.2.1"
+    __version__ = "0.2.2"
 
 
 @asynccontextmanager
@@ -61,6 +61,10 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
         # Initialize application settings (env -> computed -> DB precedence)
         async with create_session() as session:
             s = await SettingsService.initialize(session)
+            if s.reset_reserved_balance_on_startup:
+                from .db import reset_all_reserved_balances
+
+                await reset_all_reserved_balances(session)
 
         # Apply app metadata from settings
         try:

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
 
 
@@ -37,6 +37,13 @@ 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")
@@ -54,6 +61,9 @@ class Settings(BaseSettings):
     tolerance_percentage: float = Field(default=1.0, env="TOLERANCE_PERCENTAGE")
     # Minimum per-request charge in millisatoshis when model pricing is free/zero
     min_request_msat: int = Field(default=1, env="MIN_REQUEST_MSAT")
+    reset_reserved_balance_on_startup: bool = Field(
+        default=True, env="RESET_RESERVED_BALANCE_ON_STARTUP"
+    )  # deactivate in horizontal scaling setups
 
     # Network
     cors_origins: list[str] = Field(default_factory=lambda: ["*"], env="CORS_ORIGINS")

routstr/payment/cost_calculation.py

@@ -48,13 +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",
@@ -63,7 +56,12 @@ 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"]
 
@@ -178,7 +176,12 @@ 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 = usage_data.get("prompt_tokens", 0)
     output_tokens = usage_data.get("completion_tokens", 0)
@@ -191,6 +194,18 @@ async def calculate_cost(  # todo: can be sync
         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)
 
     output_msats = round(output_tokens / 1000 * MSATS_PER_1K_OUTPUT_TOKENS, 3)

routstr/payment/lnurl.py

@@ -283,7 +283,7 @@ async def raw_send_to_lnurl(
             f"({min_sendable_sat} - {max_sendable_sat} {unit})"
         )
 
-    estimated_fees_sat = int(max(math.ceil((amount_msat / 1000) * 0.01), 2))
+    estimated_fees_sat = int(max(math.ceil((amount_msat / 1000) * 0.01), 2)) + 1
     estimated_fees_msat = estimated_fees_sat * 1000
     final_amount = amount_msat - estimated_fees_msat
 

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()
@@ -137,20 +139,32 @@ async def proxy(
             "unauthorized", "Unauthorized", 401, request=request
         )
 
-    logger.info(  # TODO: move to middleware, async
+    is_responses_api = path.startswith("v1/responses") or path.startswith("responses")
-        "Received proxy request",
-        extra={
-            "method": request.method,
-            "path": path,
-            "client_host": request.client.host if request.client else "unknown",
-            "user_agent": request.headers.get("user-agent", "unknown")[:100],
-        },
-    )
-
     request_body = await request.body()
     request_body_dict = parse_request_body_json(request_body, path)
 
-    model_id = request_body_dict.get("model", "unknown")
+    if is_responses_api:
+        model_id = extract_model_from_responses_request(request_body_dict)
+    else:
+        model_id = request_body_dict.get("model", "unknown")
+
+    if "https://testnut.cashu.space" in settings.cashu_mints:
+        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:
@@ -176,9 +190,14 @@ async def proxy(
     check_token_balance(headers, request_body_dict, max_cost_for_model)
 
     if x_cashu := headers.get("x-cashu", None):
-        return await upstream.handle_x_cashu(
+        if is_responses_api:
-            request, x_cashu, path, max_cost_for_model, model_obj
+            return await upstream.handle_x_cashu_responses(
-        )
+                request, x_cashu, path, max_cost_for_model, model_obj
+            )
+        else:
+            return await upstream.handle_x_cashu(
+                request, x_cashu, path, max_cost_for_model, model_obj
+            )
 
     elif auth := headers.get("authorization", None):
         key = await get_bearer_token_key(headers, path, session, auth)
@@ -193,28 +212,36 @@ async def proxy(
             )
 
         logger.debug("Processing unauthenticated GET request", extra={"path": path})
-        # TODO: why is this needed? can we remove it?
         headers = upstream.prepare_headers(dict(request.headers))
         return await upstream.forward_get_request(request, path, headers)
 
-    # Only pay for request if we have request body data (for completions endpoints)
     if request_body_dict:
         await pay_for_request(key, max_cost_for_model, session)
 
-    # Prepare headers for upstream
     headers = upstream.prepare_headers(dict(request.headers))
 
-    # Forward to upstream and handle response
+    if is_responses_api:
-    response = await upstream.forward_request(
+        response = await upstream.forward_responses_request(
-        request,
+            request,
-        path,
+            path,
-        headers,
+            headers,
-        request_body,
+            request_body,
-        key,
+            key,
-        max_cost_for_model,
+            max_cost_for_model,
-        session,
+            session,
-        model_obj,
+            model_obj,
-    )
+        )
+    else:
+        response = await upstream.forward_request(
+            request,
+            path,
+            headers,
+            request_body,
+            key,
+            max_cost_for_model,
+            session,
+            model_obj,
+        )
 
     if response.status_code != 200:
         await revert_pay_for_request(key, session, max_cost_for_model)
@@ -317,6 +344,24 @@ async def get_bearer_token_key(
         raise
 
 
+def extract_model_from_responses_request(request_body_dict: dict[str, Any]) -> str:
+    if model := request_body_dict.get("model"):
+        return model
+
+    if input_data := request_body_dict.get("input"):
+        if isinstance(input_data, dict) and (model := input_data.get("model")):
+            return model
+
+    if request_body_dict.get("messages"):
+        return "unknown"
+
+    logger.warning(
+        "No model found in Responses API request",
+        extra={"body_keys": list(request_body_dict.keys())},
+    )
+    return "unknown"
+
+
 def parse_request_body_json(request_body: bytes, path: str) -> dict[str, Any]:
     request_body_dict = {}
     if request_body:

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/gemini.py

@@ -187,11 +187,44 @@ class GeminiUpstreamProvider(BaseUpstreamProvider):
                 )
 
                 async def stream_with_cost() -> AsyncGenerator[bytes, None]:
+                    payment_finalized = False
+
+                    async def finalize_payment() -> None:
+                        nonlocal payment_finalized
+                        if payment_finalized:
+                            return
+                        from ..auth import adjust_payment_for_tokens
+                        from ..core.db import create_session
+
+                        async with create_session() as new_session:
+                            fresh_key = await new_session.get(
+                                key.__class__, key.hashed_key
+                            )
+                            if fresh_key:
+                                try:
+                                    await adjust_payment_for_tokens(
+                                        fresh_key,
+                                        {
+                                            "model": model_obj.id,
+                                            "usage": final_usage_data,
+                                        },
+                                        new_session,
+                                        max_cost_for_model,
+                                    )
+                                    payment_finalized = True
+                                except Exception as cost_error:
+                                    logger.error(
+                                        "Error finalizing Gemini streaming payment in fallback",
+                                        extra={
+                                            "error": str(cost_error),
+                                            "key_hash": key.hashed_key[:8] + "...",
+                                        },
+                                    )
+
                     try:
                         async for chunk in response_generator:
                             sse_data = f"data: {json.dumps(chunk)}\n\n"
                             yield sse_data.encode()
-
                     except Exception as e:
                         logger.error(
                             "Error in Gemini streaming response",
@@ -202,6 +235,9 @@ class GeminiUpstreamProvider(BaseUpstreamProvider):
                             },
                         )
                         raise
+                    finally:
+                        if not payment_finalized:
+                            await finalize_payment()
 
                 return StreamingResponse(
                     stream_with_cost(),

routstr/upstream/helpers.py

@@ -218,6 +218,14 @@ async def init_upstreams() -> list[BaseUpstreamProvider]:
         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:
+            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/wallet.py

@@ -81,7 +81,7 @@ async def swap_to_primary_mint(
         amount_msat = token_amount
     else:
         raise ValueError("Invalid unit")
-    estimated_fee_sat = math.ceil(max(amount_msat // 1000 * 0.01, 2))
+    estimated_fee_sat = math.ceil(max(amount_msat // 1000 * 0.01, 2)) + 1
     amount_msat_after_fee = amount_msat - estimated_fee_sat * 1000
     primary_wallet = await get_wallet(settings.primary_mint, settings.primary_mint_unit)
 
@@ -313,6 +313,8 @@ 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":
+                        continue
                     for unit in ["sat", "msat"]:
                         wallet = await get_wallet(mint_url, unit)
                         proofs = get_proofs_per_mint_and_unit(

scripts/reproduce_bug_staging.py

@@ -0,0 +1,101 @@
+import asyncio
+
+import httpx
+
+BASE_URL = input("Enter routstr URL: ")
+API_KEY = input("Enter key or token: ")
+
+
+async def get_balance(client: httpx.AsyncClient) -> int:
+    response = await client.get("/v1/balance/info")
+    response.raise_for_status()
+    data = response.json()
+    print(f"Current Balance Info: {data}")
+    return data.get("reserved", 0)
+
+
+async def reproduce() -> None:
+    headers = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}
+
+    async with httpx.AsyncClient(
+        base_url=BASE_URL, headers=headers, timeout=30.0
+    ) as client:
+        print("Checking initial balance...")
+        try:
+            initial_reserved = await get_balance(client)
+        except Exception as e:
+            print(f"Failed to get balance: {e}")
+            return
+
+        print("\nStarting streaming request...")
+        try:
+            # Create a separate client for the stream so we can close it independently if needed,
+            # but usually just breaking the loop and exiting the context manager is enough.
+            # However, to be sure we simulate a harsh disconnect, we can just cancel the task or close the client.
+
+            async with client.stream(
+                "POST",
+                "/v1/chat/completions",
+                json={
+                    "model": "gpt-5-nano",
+                    "messages": [
+                        {
+                            "role": "user",
+                            "content": "Write a long poem about the ocean.",
+                        }
+                    ],
+                    "stream": True,
+                },
+            ) as response:
+                print(f"Stream status: {response.status_code}")
+                if response.status_code != 200:
+                    err_bytes = await response.aread()
+                    try:
+                        err_str = err_bytes.decode()
+                    except Exception:
+                        err_str = repr(err_bytes)
+                    print(f"Error: {err_str}")
+                    return
+
+                print("Stream started. Reading a few chunks...")
+                count = 0
+                async for chunk in response.aiter_bytes():
+                    print(f"Received chunk: {len(chunk)} bytes")
+                    count += 1
+                    if count >= 3:
+                        print("Simulating client disconnect (breaking stream)...")
+                        break
+
+        except Exception as e:
+            print(f"Stream interrupted (expected): {e}")
+
+        # Wait a bit for the server to realize we disconnected (though with asyncio it might be immediate or depend on keepalive)
+        print("\nWaiting for server to process disconnect...")
+        await asyncio.sleep(21)
+
+        print("\nChecking final balance...")
+        try:
+            final_reserved = await get_balance(client)
+        except Exception:
+            # Retry once if connection was closed
+            async with httpx.AsyncClient(
+                base_url=BASE_URL, headers=headers, timeout=30.0
+            ) as new_client:
+                final_reserved = await get_balance(new_client)
+
+        if final_reserved > initial_reserved:
+            print(
+                f"\n[FAIL] Bug reproduced! Reserved balance increased: {initial_reserved} -> {final_reserved}"
+            )
+            print(f"Accumulated reserved balance: {final_reserved - initial_reserved}")
+        else:
+            print(
+                f"\n[PASS] Reserved balance released correctly: {initial_reserved} -> {final_reserved}"
+            )
+
+
+if __name__ == "__main__":
+    try:
+        asyncio.run(reproduce())
+    except KeyboardInterrupt:
+        pass

ui/Dockerfile

@@ -4,17 +4,22 @@ FROM base AS deps
 RUN apk add --no-cache libc6-compat
 WORKDIR /app
 
-COPY package.json yarn.lock* package-lock.json* pnpm-lock.yaml* .npmrc* ./
+RUN corepack enable pnpm && corepack prepare pnpm@latest --activate
-RUN npm i
+
+COPY package.json pnpm-lock.yaml* ./
+RUN pnpm install --frozen-lockfile
 
 FROM base AS builder
 WORKDIR /app
+
+RUN corepack enable pnpm && corepack prepare pnpm@latest --activate
+
 COPY --from=deps /app/node_modules ./node_modules
 COPY . .
 
 ENV NEXT_TELEMETRY_DISABLED=1
 
-RUN npm run build
+RUN pnpm run build
 FROM base AS runner
 WORKDIR /app
 

ui/Dockerfile.build

@@ -6,12 +6,14 @@ RUN apk add --no-cache libc6-compat
 WORKDIR /app
 
 # Copy package files
-COPY package.json package-lock.json* pnpm-lock.yaml* ./
+COPY package.json pnpm-lock.yaml* ./
-RUN npm ci
+RUN corepack enable pnpm && corepack prepare pnpm@latest --activate
+RUN pnpm install --frozen-lockfile
 
 # Build the UI
 FROM base AS builder
 WORKDIR /app
+RUN corepack enable pnpm && corepack prepare pnpm@latest --activate
 COPY --from=deps /app/node_modules ./node_modules
 COPY . .
 
@@ -27,7 +29,7 @@ ENV NODE_ENV=production
 ENV NEXT_TELEMETRY_DISABLED=1
 
 # Build the application
-RUN npm run build && \
+RUN pnpm run build && \
     echo "UI build completed at $(date)"
 
 # Use the builder stage as the final stage

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/app/providers/page.tsx

@@ -208,7 +208,12 @@ function ProviderBalance({
     return <Skeleton className='h-9 w-24' />;
   }
 
-  if (error || !balanceData?.ok || !balanceData.balance_data) {
+  if (
+    error ||
+    !balanceData?.ok ||
+    balanceData.balance_data === undefined ||
+    balanceData.balance_data === null
+  ) {
     return null;
   }
 

ui/package.json

@@ -15,6 +15,7 @@
     "@dnd-kit/core": "^6.3.1",
     "@dnd-kit/modifiers": "^9.0.0",
     "@dnd-kit/sortable": "^10.0.0",
+    "@dnd-kit/utilities": "^3.2.2",
     "@hookform/resolvers": "^5.0.1",
     "@radix-ui/react-alert-dialog": "^1.1.10",
     "@radix-ui/react-avatar": "^1.1.6",
@@ -40,17 +41,17 @@
     "@radix-ui/react-toggle": "^1.1.6",
     "@radix-ui/react-toggle-group": "^1.1.6",
     "@radix-ui/react-tooltip": "^1.2.3",
-    "@tanstack/react-query": "^5.74.4",
+    "@tanstack/react-query": "^5.90.16",
     "@tanstack/react-table": "^8.21.3",
     "axios": "^1.13.2",
     "class-variance-authority": "^0.7.1",
     "clsx": "^2.1.1",
     "cmdk": "^1.1.1",
-    "date-fns": "^3.6.0",
+    "date-fns": "^4.1.0",
     "embla-carousel-react": "^8.6.0",
     "input-otp": "^1.4.2",
-    "lucide-react": "^0.501.0",
+    "lucide-react": "^0.562.0",
-    "next": "15.3.1",
+    "next": "15.5.9",
     "next-themes": "^0.4.6",
     "qrcode": "^1.5.4",
     "qrcode.react": "^4.2.0",
@@ -67,21 +68,21 @@
     "zustand": "^5.0.3"
   },
   "devDependencies": {
-    "@eslint/eslintrc": "^3",
+    "@eslint/eslintrc": "^3.3.3",
-    "@tailwindcss/postcss": "^4",
+    "@tailwindcss/postcss": "^4.1.18",
-    "@tanstack/react-query-devtools": "^5.74.4",
+    "@tanstack/react-query-devtools": "^5.91.2",
     "@types/node": "^20",
     "@types/qrcode": "^1.5.6",
     "@types/react": "^19",
     "@types/react-dom": "^19",
     "eslint": "^9.25.0",
-    "eslint-config-next": "15.3.1",
+    "eslint-config-next": "15.5.9",
     "eslint-config-prettier": "^10.1.2",
     "eslint-plugin-prettier": "^5.2.6",
     "eslint-plugin-react": "^7.37.5",
     "prettier": "^3.5.3",
     "prettier-plugin-tailwindcss": "^0.6.11",
-    "tailwindcss": "^4",
+    "tailwindcss": "^4.1.18",
     "typescript": "^5"
   }
 }

ui/tsconfig.json

@@ -22,6 +22,12 @@
       "@/*": ["./*"]
     }
   },
-  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
+  "include": [
+    "next-env.d.ts",
+    "**/*.ts",
+    "**/*.tsx",
+    ".next/types/**/*.ts",
+    ".next/dev/types/**/*.ts"
+  ],
   "exclude": ["node_modules"]
 }

uv.lock

@@ -1878,7 +1878,7 @@ wheels = [
 
 [[package]]
 name = "routstr"
-version = "0.2.1"
+version = "0.2.2"
 source = { editable = "." }
 dependencies = [
     { name = "aiosqlite" },