Merge remote-tracking branch 'origin/main' into sse-buffer-refactor

# Conflicts:
#	routstr/upstream/base.py

.github/workflows/container.yml

@@ -14,6 +14,14 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+
+      - name: Resolve git metadata
+        id: gitmeta
+        run: |
+          echo "sha=$(git rev-parse --short=7 HEAD)" >> "$GITHUB_OUTPUT"
+          echo "tag=$(git describe --tags --exact-match HEAD 2>/dev/null || true)" >> "$GITHUB_OUTPUT"
 
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v2
@@ -29,7 +37,11 @@ jobs:
         uses: docker/build-push-action@v4
         with:
           context: .
+          file: Dockerfile.full
           push: true
+          build-args: |
+            GIT_COMMIT=${{ steps.gitmeta.outputs.sha }}
+            GIT_TAG=${{ steps.gitmeta.outputs.tag }}
           tags: |
             ghcr.io/routstr/proxy:latest
             ghcr.io/routstr/core:latest

Dockerfile

@@ -1,26 +1,29 @@
-FROM ghcr.io/astral-sh/uv:python3.11-alpine
+FROM ghcr.io/astral-sh/uv:python3.11-bookworm-slim
 
-# Install system dependencies required for secp256k1
-RUN apk add --no-cache \
-    pkgconf \
-    build-base \
-    automake \
-    autoconf \
-    libtool \
-    m4 \
-    perl
-RUN apk add git
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends \
+        git \
+        build-essential \
+        pkg-config \
+        libsecp256k1-dev \
+        autoconf \
+        automake \
+        libtool \
+    && rm -rf /var/lib/apt/lists/*
 
 COPY uv.lock pyproject.toml ./
 RUN mkdir -p /routstr
 
-RUN uv add git+https://github.com/saschanaz/secp256k1-py.git#branch=upgrade060
-# RUN uv sync
+RUN uv sync --frozen --no-dev --no-install-project
 
 WORKDIR /app
 
 COPY . .
 
+ARG GIT_COMMIT=""
+ARG GIT_TAG=""
+ENV GIT_COMMIT=${GIT_COMMIT}
+ENV GIT_TAG=${GIT_TAG}
 ENV PORT=8000
 ENV PYTHONUNBUFFERED=1
 

Dockerfile.full

@@ -4,7 +4,7 @@ FROM node:23-alpine AS ui-builder
 WORKDIR /app/ui
 
 # Install pnpm
-RUN corepack enable pnpm && corepack prepare pnpm@latest --activate
+RUN corepack enable pnpm && corepack prepare pnpm@10.15.0 --activate
 
 # Copy UI source
 COPY ui/package.json ui/pnpm-lock.yaml* ./
@@ -16,35 +16,38 @@ ENV NEXT_TELEMETRY_DISABLED=1
 RUN pnpm run build
 
 # Stage 2: Build the Routstr Node
-FROM ghcr.io/astral-sh/uv:python3.11-alpine AS runner
+FROM ghcr.io/astral-sh/uv:python3.11-bookworm-slim AS runner
 
-# Install system dependencies
-RUN apk add --no-cache \
-    pkgconf \
-    build-base \
-    automake \
-    autoconf \
-    libtool \
-    m4 \
-    perl \
-    git
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends \
+        git \
+        build-essential \
+        pkg-config \
+        libsecp256k1-dev \
+        autoconf \
+        automake \
+        libtool \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY uv.lock pyproject.toml ./
+
+RUN uv sync --no-dev --no-install-project
 
 WORKDIR /app
 
-# Copy the rest of the application (required for uv sync to find the package)
 COPY . .
 
-# Install dependencies including the specific secp256k1 branch
-RUN uv add git+https://github.com/saschanaz/secp256k1-py.git#branch=upgrade060
-RUN uv sync --no-dev
-
 # Copy the built UI from the ui-builder stage
 COPY --from=ui-builder /app/ui/out ./ui_out
 
+ARG GIT_COMMIT=""
+ARG GIT_TAG=""
+ENV GIT_COMMIT=${GIT_COMMIT}
+ENV GIT_TAG=${GIT_TAG}
 ENV PORT=8000
 ENV PYTHONUNBUFFERED=1
 
 EXPOSE 8000
 
 # Run the application
-CMD ["/app/.venv/bin/fastapi", "run", "routstr", "--host", "0.0.0.0"]
+CMD ["/.venv/bin/fastapi", "run", "routstr", "--host", "0.0.0.0"]

compose.yml

@@ -8,8 +8,9 @@ services:
       args:
         # NEXT_PUBLIC_API_URL: ${NEXT_PUBLIC_API_URL:-http://127.0.0.1:8000}
         NEXT_PUBLIC_ADMIN_API_KEY: ${NEXT_PUBLIC_ADMIN_API_KEY:-}
+    user: root
     volumes:
-      - ./ui_out:/output
+      - ./ui_out:/output:z
     command:
       ["sh", "-c", "mkdir -p /output && cp -r /app/built/. /output/ && echo 'UI build copied to mounted volume' && ls -la /output/ && echo 'UI built and ready' && tail -f /dev/null"]
 
@@ -18,10 +19,10 @@ services:
     depends_on:
       - ui
     volumes:
-      - .:/app
-      - ./logs:/app/logs
+      - .:/app:z
+      - ./logs:/app/logs:z
       - tor-data:/var/lib/tor:ro
-      - ./ui_out:/app/ui_out:ro
+      - ./ui_out:/app/ui_out:ro,z
     env_file:
       - .env
     environment:

docs/api/endpoints.md

@@ -396,6 +396,8 @@ Authorization: Bearer sk-...
 }
 ```
 
+`balance` is the spendable balance used by request admission.
+
 ### Check Balance
 
 Get current wallet balance.

docs/client/payments.md

@@ -53,9 +53,11 @@ If your balance runs low, you don't need a new key. You can top up the existing
 
 ### Via Lightning
 
-`POST /lightning/invoice` with `{"amount_sats": 1000, "purpose": "topup", "api_key": "sk-..."}`.
+`POST /lightning/invoice` with `Authorization: Bearer sk-...` header and body `{"amount_sats": 1000, "purpose": "topup"}`.
 *Once paid, the funds are added to your existing key.*
 
+> Legacy: the endpoint is also exposed at `/v1/balance/lightning/invoice`, and accepts an `api_key` field in the body as a fallback for older clients. New integrations should use the RIP-08 path with the `Authorization` header.
+
 ### Via Cashu
 
 `POST /v1/balance/topup` with `{"cashu_token": "..."}` and `Authorization: Bearer sk-...`.

docs/provider/configuration.md

@@ -78,9 +78,15 @@ Which mints to accept payments from:
 
 Automatic profit withdrawal:
 
-| Setting               | Description                     |
-| --------------------- | ------------------------------- |
-| **Lightning Address** | Your LN address for withdrawals |
+| Setting                              | Description                                                                                                | Default |
+| ------------------------------------ | ---------------------------------------------------------------------------------------------------------- | ------- |
+| **Lightning Address**                | Your LN address for withdrawals                                                                            | —       |
+| **Minimum Payout (sat)**             | Min available balance (in sats) before profit is paid out. Applies to both `sat` and `msat` mints (auto-converted). | `210`   |
+| **Payout Interval (seconds)**        | How often the payout loop wakes up and checks balances                                                     | `900`   |
+
+All payout amounts must be positive. Set the minimums above your wallet's
+minimum-invoice constraint (typically 1 sat) and high enough to amortise
+routing fees.
 
 ### Security
 
@@ -126,6 +132,8 @@ Use environment variables for:
 | `ENABLE_ANALYTICS_SHARING` | Enable usage analytics sharing to Nostr | `true`                         |
 | `CASHU_MINTS`        | Comma-separated mint URLs         | `https://mint.minibits.cash/Bitcoin` |
 | `RECEIVE_LN_ADDRESS` | Lightning address for withdrawals | —                                    |
+| `MIN_PAYOUT_SAT`     | Min payout balance in sats (applies to all mints) | `210`                |
+| `PAYOUT_INTERVAL_SECONDS` | Payout loop interval (seconds) | `900`                            |
 | `TOR_PROXY_URL`      | SOCKS5 proxy for Tor              | `socks5://127.0.0.1:9050`            |
 | `CORS_ORIGINS`       | Allowed CORS origins              | `*`                                  |
 | `RELAYS`             | Nostr relays (comma-separated)    | (default set)                        |

docs/provider/deployment.md

@@ -2,6 +2,57 @@
 
 Production deployment guide for Routstr Provider nodes.
 
+## All-in-One Docker Image (Preferred)
+
+The easiest way to deploy Routstr is using the all-in-one Docker image from Docker Hub, which includes both the FastAPI backend and the Next.js admin dashboard in a single container.
+
+### Quick Start
+
+```bash
+docker run -d \
+  --name routstr \
+  -p 8000:8000 \
+  -v routstr-data:/app/data \
+  -e DATABASE_URL="sqlite:////app/data/routstr.db" \
+  9qeklajc/routstr:latest
+```
+
+Access your node:
+- **API & Admin Dashboard**: http://localhost:8000
+
+### Docker Compose Setup
+
+Create `docker-compose.yml`:
+
+```yaml
+version: '3.8'
+
+services:
+  routstr:
+    image: 9qeklajc/routstr:latest
+    container_name: routstr
+    restart: unless-stopped
+    ports:
+      - "8000:8000"
+    volumes:
+      - routstr-data:/app/data
+    environment:
+      DATABASE_URL: "sqlite:////app/data/routstr.db"
+      ADMIN_KEY: "your-secure-admin-key"
+      LOG_LEVEL: "info"
+
+volumes:
+  routstr-data:
+```
+
+Start it:
+
+```bash
+docker compose up -d
+```
+
+---
+
 ## Docker Compose (Recommended)
 
 For production, use Docker Compose with persistent storage and optional Tor support.

migrations/versions/cli_tokens_table.py

@@ -0,0 +1,34 @@
+"""add cli_tokens table
+
+Revision ID: cli_tokens_001
+Revises: e8f9a0b1c2d3
+Create Date: 2026-04-25 00:00:00.000000
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "cli_tokens_001"
+down_revision = "e8f9a0b1c2d3"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.create_table(
+        "cli_tokens",
+        sa.Column("id", sa.String(), primary_key=True, nullable=False),
+        sa.Column("token", sa.String(), nullable=False, unique=True),
+        sa.Column("name", sa.String(), nullable=False),
+        sa.Column("created_at", sa.Integer(), nullable=False),
+        sa.Column("last_used_at", sa.Integer(), nullable=True),
+        sa.Column("expires_at", sa.Integer(), nullable=True),
+    )
+    op.create_index("ix_cli_tokens_token", "cli_tokens", ["token"], unique=True)
+
+
+def downgrade() -> None:
+    op.drop_index("ix_cli_tokens_token", table_name="cli_tokens")
+    op.drop_table("cli_tokens")

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "routstr"
-version = "0.4.1"
+version = "0.4.3"
 description = "Payment proxy for your LLM endpoint using cashu and nostr."
 readme = "README.md"
 requires-python = ">=3.11"
@@ -13,14 +13,14 @@ dependencies = [
     "greenlet>=3.2.1",
     "alembic>=1.13",
     "python-json-logger>=2.0.0",
-    "cashu",
-    "secp256k1",
+    "cashu>=0.20",
     "marshmallow>=3.13,<4.0",
     "websockets>=12.0",
     "nostr>=0.0.2",
     "mdurl==0.1.2",
     "pillow>=10",
     "openai>=1.98.0",
+    "litellm>=1.55.0",
 ]
 
 [dependency-groups]
@@ -86,4 +86,3 @@ disallow_untyped_decorators = true
 
 [tool.uv.sources]
 routstr = { workspace = true }
-secp256k1 = { git = "https://github.com/saschanaz/secp256k1-py", branch = "upgrade060" }

routstr/algorithm.py

@@ -195,14 +195,15 @@ def create_model_mappings(
 
             # Add to unique models
             base_id = get_base_model_id(model_to_use.id)
-            if not is_openrouter or base_id not in unique_models:
+            unique_key = model_to_use.forwarded_model_id or base_id
+            if not is_openrouter or unique_key not in unique_models:
                 unique_model = model_to_use.copy(
                     update={
                         "id": base_id,
                         "upstream_provider_id": upstream.provider_type,
                     }
                 )
-                unique_models[base_id] = unique_model
+                unique_models[unique_key] = unique_model
 
             # Get all aliases for this model
             aliases = resolve_model_alias(
@@ -272,18 +273,19 @@ def create_model_mappings(
             continue
 
         base_id = get_base_model_id(model_to_use.id)
+        unique_key = model_to_use.forwarded_model_id or base_id
         is_openrouter = (
             getattr(upstream_for_override, "base_url", "")
             == "https://openrouter.ai/api/v1"
         )
-        if not is_openrouter or base_id not in unique_models:
+        if not is_openrouter or unique_key not in unique_models:
             unique_model = model_to_use.copy(
                 update={
                     "id": base_id,
                     "upstream_provider_id": upstream_for_override.provider_type,
                 }
             )
-            unique_models[base_id] = unique_model
+            unique_models[unique_key] = unique_model
 
         try:
             aliases = resolve_model_alias(
@@ -322,7 +324,26 @@ def create_model_mappings(
     provider_map: dict[str, list["BaseUpstreamProvider"]] = {}
 
     def alias_priority(model: "Model", alias: str) -> int:
-        """Rank how strong the mapping of alias->model is."""
+        """Rank how strong the mapping of alias->model is.
+
+        forwarded_model_id is the most specific identifier (set per-provider
+        instance), so a match there should beat a model_id match. This way,
+        when multiple providers have the same model_id but different
+        forwarded_model_ids, the one whose forwarded_model_id equals the
+        requested alias wins.
+        """
+        if (
+            model.forwarded_model_id
+            and model.forwarded_model_id.lower() == alias
+        ):
+            return 5
+
+        if (
+            model.id
+            and model.id.lower() == alias
+        ):
+            return 4
+
         model_base = get_base_model_id(model.id)
         if model_base == alias:
             return 3

routstr/auth.py

@@ -317,13 +317,13 @@ async def validate_bearer_key(
                 extra={"key_hash": hashed_key[:8] + "..."},
             )
 
-            logger.info(
+            logger.debug(
                 "AUTH: About to call credit_balance",
                 extra={"token_preview": bearer_key[:50]},
             )
             try:
                 msats = await credit_balance(bearer_key, new_key, session)
-                logger.info(
+                logger.debug(
                     "AUTH: credit_balance returned successfully", extra={"msats": msats}
                 )
             except Exception as credit_error:

routstr/balance.py

@@ -45,7 +45,7 @@ async def get_balance_info(key: ApiKey, session: AsyncSession) -> dict:
     billing_key = await get_billing_key(key, session)
     info = {
         "api_key": "sk-" + key.hashed_key,
-        "balance": billing_key.balance,
+        "balance": billing_key.total_balance,
         "reserved": billing_key.reserved_balance,
         "is_child": key.parent_key_hash is not None,
         "parent_key": "sk-" + key.parent_key_hash if key.parent_key_hash else None,
@@ -211,8 +211,20 @@ async def _refund_cache_set(authorization: str, value: dict[str, str]) -> None:
         _refund_cache[key] = (expiry, value)
 
 
+async def _lookup_key_no_create(
+    bearer_value: str, session: AsyncSession
+) -> ApiKey | None:
+    """Look up an existing API key without creating one Used by the refund endpoint"""
+    if bearer_value.startswith("sk-"):
+        return await session.get(ApiKey, bearer_value[3:])
+    if bearer_value.startswith("cashu"):
+        hashed = hashlib.sha256(bearer_value.encode()).hexdigest()
+        return await session.get(ApiKey, hashed)
+    return None
+
+
 async def _restore_balance(
-    session: AsyncSession, hashed_key: str, balance: int, reserved_balance: int
+    session: AsyncSession, hashed_key: str, balance: int, reserved_balance: int, mint_url: str
 ) -> None:
     """Restore balance after a failed refund mint attempt."""
     restore_stmt = (
@@ -227,7 +239,7 @@ async def _restore_balance(
     await session.commit()
     logger.info(
         "refund_wallet_endpoint: balance restored after mint failure",
-        extra={"hashed_key": hashed_key, "restored_balance": balance},
+        extra={"hashed_key": hashed_key, "restored_balance": balance, "mint_url": mint_url},
     )
 
 
@@ -282,7 +294,12 @@ async def refund_wallet_endpoint(
         )
 
     bearer_value: str = authorization[7:]
-    key: ApiKey = await validate_bearer_key(bearer_value, session)
+    key: ApiKey | None = await _lookup_key_no_create(bearer_value, session)
+    if key is None:
+        raise HTTPException(
+            status_code=401,
+            detail="Key not found. Deposit first via /v1/wallet/create before requesting a refund.",
+        )
 
     if key.total_balance <= 0:
         if cached := await _refund_cache_get(bearer_value):
@@ -337,21 +354,26 @@ async def refund_wallet_endpoint(
         )
 
     # --- MINT: balance is locked at zero, safe to create the refund token ---
+    # Proofs from untrusted mints are swapped to primary_mint on receive.
+    # Use primary_mint unless key.refund_mint_url is an explicitly trusted mint.
+    effective_refund_mint = (
+        key.refund_mint_url
+        if key.refund_mint_url and key.refund_mint_url in settings.cashu_mints
+        else settings.primary_mint
+    )
     try:
         if key.refund_address:
-            from .core.settings import settings as global_settings
-
             await send_to_lnurl(
                 remaining_balance,
                 key.refund_currency or "sat",
-                key.refund_mint_url or global_settings.primary_mint,
+                effective_refund_mint,
                 key.refund_address,
             )
             result = {"recipient": key.refund_address}
         else:
             refund_currency = key.refund_currency or "sat"
             token = await send_token(
-                remaining_balance, refund_currency, key.refund_mint_url
+                remaining_balance, refund_currency, effective_refund_mint
             )
             result = {"token": token}
 
@@ -373,21 +395,32 @@ async def refund_wallet_endpoint(
 
     except HTTPException:
         # Minting failed — restore the debited balance
-        await _restore_balance(session, key.hashed_key, pre_debit_balance, pre_debit_reserved)
+        await _restore_balance(session, key.hashed_key, pre_debit_balance, pre_debit_reserved, key.refund_mint_url or "")
         raise
     except Exception as e:
         # Minting failed — restore the debited balance
-        await _restore_balance(session, key.hashed_key, pre_debit_balance, pre_debit_reserved)
+        await _restore_balance(session, key.hashed_key, pre_debit_balance, pre_debit_reserved, key.refund_mint_url or "")
         error_msg = str(e)
+        logger.error(
+            "refund_wallet_endpoint: mint/send failed",
+            extra={
+                "error": error_msg,
+                "error_type": type(e).__name__,
+                "hashed_key": key.hashed_key,
+                "remaining_balance": remaining_balance,
+                "refund_currency": key.refund_currency,
+                "refund_mint_url": key.refund_mint_url,
+                "has_refund_address": bool(key.refund_address),
+            },
+        )
         if (
             "mint" in error_msg.lower()
             or "connection" in error_msg.lower()
-            or isinstance(e, Exception)
-            and "ConnectError" in str(type(e))
+            or "ConnectError" in str(type(e))
         ):
-            raise HTTPException(status_code=503, detail="Mint service unavailable")
+            raise HTTPException(status_code=503, detail=f"Mint service unavailable: {error_msg}")
         else:
-            raise HTTPException(status_code=500, detail="Refund failed")
+            raise HTTPException(status_code=500, detail=f"Refund failed: {error_msg}")
 
     await _refund_cache_set(bearer_value, result)
 
@@ -609,7 +642,7 @@ async def wallet_catch_all(path: str) -> NoReturn:
     )
 
 
-balance_router.include_router(lightning_router)
+balance_router.include_router(lightning_router, include_in_schema=False)
 balance_router.include_router(router)
 
 deprecated_wallet_router = APIRouter(prefix="/v1/wallet", include_in_schema=False)

routstr/core/admin.py

@@ -5,7 +5,8 @@ from datetime import datetime, timezone
 from pathlib import Path
 
 from fastapi import APIRouter, Depends, HTTPException, Query, Request
-from pydantic import BaseModel
+from pydantic import BaseModel, RootModel
+from pydantic.v1 import ValidationError as PydanticValidationError
 from sqlmodel import select
 
 from ..payment.models import _row_to_model, list_models
@@ -20,6 +21,8 @@ from ..wallet import (
 from .db import (
     ApiKey,
     CashuTransaction,
+    CliToken,
+    LightningInvoice,
     ModelRow,
     UpstreamProviderRow,
     create_session,
@@ -38,12 +41,27 @@ ADMIN_SESSION_DURATION = 3600
 MAX_USAGE_ANALYTICS_HOURS = 365 * 24
 
 
-def require_admin_api(request: Request) -> None:
+async def require_admin_api(request: Request) -> None:
     auth_header = request.headers.get("Authorization")
-    if auth_header and auth_header.startswith("Bearer "):
-        token = auth_header.split(" ", 1)[1]
-        expiry = admin_sessions.get(token)
-        if expiry and expiry > int(datetime.now(timezone.utc).timestamp()):
+    if not auth_header or not auth_header.startswith("Bearer "):
+        raise HTTPException(status_code=403, detail="Unauthorized")
+
+    token = auth_header.split(" ", 1)[1]
+    now_ts = int(datetime.now(timezone.utc).timestamp())
+
+    # 1) Short-lived session token (in-memory)
+    expiry = admin_sessions.get(token)
+    if expiry and expiry > now_ts:
+        return
+
+    # 2) Long-lived CLI token (DB-backed)
+    async with create_session() as session:
+        result = await session.exec(select(CliToken).where(CliToken.token == token))
+        cli_token = result.first()
+        if cli_token and (cli_token.expires_at is None or cli_token.expires_at > now_ts):
+            cli_token.last_used_at = now_ts
+            session.add(cli_token)
+            await session.commit()
             return
 
     raise HTTPException(status_code=403, detail="Unauthorized")
@@ -126,8 +144,8 @@ async def get_settings(request: Request) -> dict:
     return data
 
 
-class SettingsUpdate(BaseModel):
-    __root__: dict[str, object]
+class SettingsUpdate(RootModel[dict[str, object]]):
+    pass
 
 
 class PasswordUpdate(BaseModel):
@@ -138,14 +156,19 @@ class PasswordUpdate(BaseModel):
 @admin_router.patch("/api/settings", dependencies=[Depends(require_admin_api)])
 async def update_settings(request: Request, update: SettingsUpdate) -> dict:
     # Remove sensitive fields from general settings update
-    settings_data = update.__root__.copy()
+    settings_data = update.root.copy()
     sensitive_fields = ["admin_password", "upstream_api_key", "nsec"]
     for field in sensitive_fields:
         if field in settings_data:
             del settings_data[field]
 
-    async with create_session() as session:
-        new_settings = await SettingsService.update(settings_data, session)
+    try:
+        async with create_session() as session:
+            new_settings = await SettingsService.update(settings_data, session)
+    except PydanticValidationError as e:
+        # Surface validation issues (e.g. non-positive payout amounts)
+        # as a clean 400 instead of a 500.
+        raise HTTPException(status_code=400, detail=e.errors()) from e
     data = new_settings.dict()
     if "upstream_api_key" in data:
         data["upstream_api_key"] = "[REDACTED]" if data["upstream_api_key"] else ""
@@ -242,6 +265,73 @@ async def admin_logout(request: Request) -> dict[str, object]:
     return {"ok": True}
 
 
+# ─── CLI Tokens (long-lived bearer tokens for CLI/agent use) ───
+
+
+class CliTokenCreate(BaseModel):
+    name: str
+    expires_in_days: int | None = None
+
+
+@admin_router.get("/api/cli-tokens", dependencies=[Depends(require_admin_api)])
+async def list_cli_tokens() -> list[dict[str, object]]:
+    async with create_session() as session:
+        result = await session.exec(select(CliToken))
+        tokens = result.all()
+    return [
+        {
+            "id": t.id,
+            "name": t.name,
+            "token_preview": f"{t.token[:8]}...{t.token[-4:]}",
+            "created_at": t.created_at,
+            "last_used_at": t.last_used_at,
+            "expires_at": t.expires_at,
+        }
+        for t in tokens
+    ]
+
+
+@admin_router.post("/api/cli-tokens", dependencies=[Depends(require_admin_api)])
+async def create_cli_token(payload: CliTokenCreate) -> dict[str, object]:
+    name = (payload.name or "").strip()
+    if not name:
+        raise HTTPException(status_code=400, detail="Name is required")
+
+    raw_token = secrets.token_urlsafe(32)
+    expires_at: int | None = None
+    if payload.expires_in_days is not None and payload.expires_in_days > 0:
+        expires_at = int(datetime.now(timezone.utc).timestamp()) + (
+            payload.expires_in_days * 86400
+        )
+
+    async with create_session() as session:
+        cli_token = CliToken(token=raw_token, name=name, expires_at=expires_at)
+        session.add(cli_token)
+        await session.commit()
+        await session.refresh(cli_token)
+
+    return {
+        "id": cli_token.id,
+        "name": cli_token.name,
+        "token": raw_token,  # full token returned only on creation
+        "created_at": cli_token.created_at,
+        "expires_at": cli_token.expires_at,
+    }
+
+
+@admin_router.delete(
+    "/api/cli-tokens/{token_id}", dependencies=[Depends(require_admin_api)]
+)
+async def revoke_cli_token(token_id: str) -> dict[str, object]:
+    async with create_session() as session:
+        cli_token = await session.get(CliToken, token_id)
+        if not cli_token:
+            raise HTTPException(status_code=404, detail="Token not found")
+        await session.delete(cli_token)
+        await session.commit()
+    return {"ok": True, "deleted_id": token_id}
+
+
 class WithdrawRequest(BaseModel):
     amount: int
     mint_url: str | None = None
@@ -1388,6 +1478,52 @@ async def get_transactions_api(
         }
 
 
+@admin_router.get(
+    "/api/lightning-invoices", dependencies=[Depends(require_admin_api)]
+)
+async def get_lightning_invoices_api(
+    status: str | None = None,
+    purpose: str | None = None,
+    search: str | None = None,
+    limit: int = 50,
+    offset: int = 0,
+) -> dict:
+    async with create_session() as session:
+        from sqlmodel import col, func
+
+        base = select(LightningInvoice)
+        if status:
+            base = base.where(LightningInvoice.status == status)
+        if purpose:
+            base = base.where(LightningInvoice.purpose == purpose)
+        if search:
+            pattern = f"%{search}%"
+            base = base.where(
+                (col(LightningInvoice.id).like(pattern))
+                | (col(LightningInvoice.bolt11).like(pattern))
+                | (col(LightningInvoice.payment_hash).like(pattern))
+                | (col(LightningInvoice.api_key_hash).like(pattern))
+            )
+
+        count_result = await session.exec(
+            select(func.count()).select_from(base.subquery())
+        )
+        total = count_result.one()
+
+        stmt = (
+            base.order_by(col(LightningInvoice.created_at).desc())
+            .offset(offset)
+            .limit(limit)
+        )
+        results = await session.exec(stmt)
+        invoices = results.all()
+
+        return {
+            "invoices": [inv.dict() for inv in invoices],
+            "total": total,
+        }
+
+
 @admin_router.post(
     "/api/upstream-providers/{provider_id}/routstr/refund",
     dependencies=[Depends(require_admin_api)],

routstr/core/db.py

@@ -79,11 +79,10 @@ class ApiKey(SQLModel, table=True):  # type: ignore
 
 
 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")
+    logger.info("Reset reserved balances on startup")
 
 
 class ModelRow(SQLModel, table=True):  # type: ignore
@@ -239,6 +238,22 @@ class RoutstrFee(SQLModel, table=True):  # type: ignore
     last_paid_at: int | None = Field(default=None)
 
 
+class CliToken(SQLModel, table=True):  # type: ignore
+    """Long-lived authorization token for CLI/agent use against admin endpoints."""
+
+    __tablename__ = "cli_tokens"
+    id: str = Field(
+        primary_key=True, default_factory=lambda: uuid.uuid4().hex
+    )
+    token: str = Field(unique=True, index=True, description="Bearer token value")
+    name: str = Field(description="Human-readable label for this token")
+    created_at: int = Field(default_factory=lambda: int(time.time()))
+    last_used_at: int | None = Field(default=None)
+    expires_at: int | None = Field(
+        default=None, description="Optional expiry unix timestamp; null = never expires"
+    )
+
+
 async def accumulate_routstr_fee(session: AsyncSession, amount_msats: int) -> None:
     stmt = (
         update(RoutstrFee)

routstr/core/exceptions.py

@@ -22,16 +22,20 @@ async def http_exception_handler(request: Request, exc: Exception) -> JSONRespon
     # Get status code and detail - works for both FastAPI and Starlette HTTPException
     status_code = getattr(exc, "status_code", 500)
     detail = getattr(exc, "detail", str(exc))
+    path = request.url.path
 
-    logger.warning(
-        "HTTP exception",
-        extra={
-            "request_id": request_id,
-            "status_code": status_code,
-            "detail": detail,
-            "path": request.url.path,
-        },
-    )
+    # 4xx is client behaviour; the uvicorn access log already records it.
+    # Only 5xx warrants a server-side warning/error log here.
+    if status_code >= 500:
+        logger.error(
+            f"HTTP {status_code} on {path}: {detail}",
+            extra={
+                "request_id": request_id,
+                "status_code": status_code,
+                "detail": detail,
+                "path": path,
+            },
+        )
 
     return JSONResponse(
         status_code=status_code,

routstr/core/logging.py

@@ -41,14 +41,23 @@ import logging.config
 import logging.handlers
 import os
 import re
+import sys
 import tomllib
 from datetime import datetime
 from pathlib import Path
 from typing import Any
 
 from pythonjsonlogger import jsonlogger
+from rich.console import Console
 from rich.logging import RichHandler
 
+# Only use RichHandler when stdout is a real TTY. In non-TTY contexts
+# (docker logs, pipes, CI) Rich pads every line to width and wraps long
+# records, producing visually-empty trailing whitespace and split records.
+# A plain StreamHandler avoids both problems.
+_stdout_is_tty = sys.stdout.isatty()
+_console = Console(soft_wrap=True) if _stdout_is_tty else None
+
 # Define custom TRACE level
 TRACE_LEVEL = 5
 logging.addLevelName(TRACE_LEVEL, "TRACE")
@@ -261,6 +270,26 @@ def setup_logging() -> None:
     if console_enabled:
         handlers.append("console")
 
+    if _stdout_is_tty:
+        console_handler: dict[str, Any] = {
+            "()": RichHandler,
+            "level": log_level,
+            "show_time": False,
+            "show_path": False,
+            "rich_tracebacks": True,
+            "markup": True,
+            "console": _console,
+            "filters": ["request_id_filter", "security_filter"],
+        }
+    else:
+        console_handler = {
+            "class": "logging.StreamHandler",
+            "level": log_level,
+            "formatter": "plain",
+            "stream": "ext://sys.stdout",
+            "filters": ["request_id_filter", "security_filter"],
+        }
+
     LOGGING_CONFIG = {
         "version": 1,
         "disable_existing_loggers": False,
@@ -270,6 +299,10 @@ def setup_logging() -> None:
                 "format": "%(asctime)s %(name)s %(levelname)s %(message)s %(pathname)s %(lineno)d %(version)s %(request_id)s",
                 "datefmt": "%Y-%m-%d %H:%M:%S",
             },
+            "plain": {
+                "format": "%(asctime)s %(levelname)-7s %(name)s %(message)s",
+                "datefmt": "%Y-%m-%d %H:%M:%S",
+            },
         },
         "filters": {
             "version_filter": {"()": VersionFilter},
@@ -277,15 +310,7 @@ def setup_logging() -> None:
             "security_filter": {"()": SecurityFilter},
         },
         "handlers": {
-            "console": {
-                "()": RichHandler,
-                "level": log_level,
-                "show_time": False,
-                "show_path": False,
-                "rich_tracebacks": True,
-                "markup": True,
-                "filters": ["request_id_filter", "security_filter"],
-            },
+            "console": console_handler,
             "file": {
                 "()": DailyRotatingFileHandler,
                 "level": log_level,

routstr/core/main.py

@@ -1,5 +1,4 @@
 import asyncio
-import os
 from contextlib import asynccontextmanager
 from pathlib import Path
 from typing import AsyncGenerator
@@ -9,9 +8,12 @@ from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import FileResponse, RedirectResponse
 from fastapi.staticfiles import StaticFiles
 from starlette.exceptions import HTTPException
+from starlette.responses import Response as StarletteResponse
+from starlette.types import Scope
 
 from ..auth import periodic_key_reset
 from ..balance import balance_router, deprecated_wallet_router
+from ..lightning import lightning_router, periodic_invoice_watcher
 from ..nostr import (
     announce_provider,
     providers_cache_refresher,
@@ -22,24 +24,22 @@ from ..payment.models import models_router, update_sats_pricing
 from ..payment.price import update_prices_periodically
 from ..proxy import initialize_upstreams, proxy_router, refresh_model_maps_periodically
 from ..upstream.auto_topup import periodic_auto_topup
+from ..upstream.litellm_routing import configure_litellm
 from ..wallet import periodic_payout, periodic_refund_sweep, periodic_routstr_fee_payout
 from .admin import admin_router
 from .db import create_session, init_db, run_migrations
 from .exceptions import general_exception_handler, http_exception_handler
 from .logging import get_logger, setup_logging
 from .middleware import LoggingMiddleware
+from .not_found import _NOT_FOUND_HTML, not_found_catch_all  # noqa: F401
 from .settings import SettingsService
 from .settings import settings as global_settings
+from .version import __version__
 
 # Initialize logging first
 setup_logging()
 logger = get_logger(__name__)
 
-if os.getenv("VERSION_SUFFIX") is not None:
-    __version__ = f"0.4.1-{os.getenv('VERSION_SUFFIX')}"
-else:
-    __version__ = "0.4.1"
-
 
 @asynccontextmanager
 async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
@@ -57,8 +57,13 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
     auto_topup_task = None
     refund_sweep_task = None
     routstr_fee_task = None
+    invoice_watcher_task = None
 
     try:
+        # Apply litellm-wide settings (drop_params, chat-completions URL,
+        # debug logging) before any upstream provider dispatches a request.
+        configure_litellm()
+
         # Run database migrations on startup
         run_migrations()
 
@@ -103,8 +108,11 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
         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:
+            # Pass the accessor (not its current value) so the loop sees providers
+            # added/changed via reinitialize_upstreams() instead of staying pinned
+            # to the startup snapshot.
             models_refresh_task = asyncio.create_task(
-                refresh_upstreams_models_periodically(get_upstreams())
+                refresh_upstreams_models_periodically(get_upstreams)
             )
         model_maps_refresh_task = asyncio.create_task(refresh_model_maps_periodically())
         payout_task = asyncio.create_task(periodic_payout())
@@ -117,6 +125,7 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
         auto_topup_task = asyncio.create_task(periodic_auto_topup())
         refund_sweep_task = asyncio.create_task(periodic_refund_sweep())
         routstr_fee_task = asyncio.create_task(periodic_routstr_fee_payout())
+        invoice_watcher_task = asyncio.create_task(periodic_invoice_watcher())
 
         yield
 
@@ -156,6 +165,8 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
             refund_sweep_task.cancel()
         if routstr_fee_task is not None:
             routstr_fee_task.cancel()
+        if invoice_watcher_task is not None:
+            invoice_watcher_task.cancel()
 
         try:
             tasks_to_wait = []
@@ -183,6 +194,8 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
                 tasks_to_wait.append(refund_sweep_task)
             if routstr_fee_task is not None:
                 tasks_to_wait.append(routstr_fee_task)
+            if invoice_watcher_task is not None:
+                tasks_to_wait.append(invoice_watcher_task)
 
             if tasks_to_wait:
                 await asyncio.gather(*tasks_to_wait, return_exceptions=True)
@@ -194,6 +207,23 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
             )
 
 
+class _ImmutableStaticFiles(StaticFiles):
+    """Static files with long Cache-Control for content-hashed Next.js assets.
+
+    Files under `/_next/static/` are emitted with content hashes in their
+    filenames and never mutate, so we serve them with a one-year immutable
+    cache header so browsers and CDNs stop revalidating on every reload.
+    """
+
+    async def get_response(self, path: str, scope: Scope) -> StarletteResponse:
+        response = await super().get_response(path, scope)
+        if response.status_code == 200:
+            response.headers["Cache-Control"] = (
+                "public, max-age=31536000, immutable"
+            )
+        return response
+
+
 app = FastAPI(version=__version__, lifespan=lifespan)
 
 
@@ -240,7 +270,7 @@ if UI_DIST_PATH.exists() and UI_DIST_PATH.is_dir():
 
     app.mount(
         "/_next",
-        StaticFiles(directory=UI_DIST_PATH / "_next", check_dir=True),
+        _ImmutableStaticFiles(directory=UI_DIST_PATH / "_next", check_dir=True),
         name="next-static",
     )
 
@@ -248,100 +278,70 @@ if UI_DIST_PATH.exists() and UI_DIST_PATH.is_dir():
     async def serve_root_ui() -> FileResponse:
         return FileResponse(UI_DIST_PATH / "index.html")
 
-    # Add explicit route for /index.txt to redirect to /
+    # Serve the App Router RSC payload for the home page.
     @app.get("/index.txt", include_in_schema=False)
-    async def redirect_index_txt() -> RedirectResponse:
-        return RedirectResponse("/")
+    async def serve_root_rsc() -> FileResponse:
+        return FileResponse(
+            UI_DIST_PATH / "index.txt", media_type="text/x-component"
+        )
+
+    # Next.js is built with `trailingSlash: true`, so all UI page URLs end
+    # with a slash (e.g. `/login/`). The proxy router catches `/{path:path}`
+    # before FastAPI's `redirect_slashes` logic can normalize the URL, so we
+    # must register both the with-slash and without-slash variants here.
+    UI_PAGES = (
+        "dashboard",
+        "login",
+        "model",
+        "providers",
+        "settings",
+        "transactions",
+        "balances",
+        "logs",
+        "usage",
+        "unauthorized",
+    )
+
+    def _register_ui_page(name: str) -> None:
+        page_dir = UI_DIST_PATH / name
+        index_html = page_dir / "index.html"
+        index_txt = page_dir / "index.txt"
+
+        async def serve_page() -> FileResponse:
+            return FileResponse(index_html)
+
+        async def serve_page_rsc() -> FileResponse:
+            return FileResponse(index_txt, media_type="text/x-component")
+
+        app.add_api_route(
+            f"/{name}",
+            serve_page,
+            methods=["GET"],
+            include_in_schema=False,
+            name=f"serve_{name}_ui",
+        )
+        app.add_api_route(
+            f"/{name}/",
+            serve_page,
+            methods=["GET"],
+            include_in_schema=False,
+            name=f"serve_{name}_ui_slash",
+        )
+        app.add_api_route(
+            f"/{name}/index.txt",
+            serve_page_rsc,
+            methods=["GET"],
+            include_in_schema=False,
+            name=f"serve_{name}_rsc",
+        )
+
+    for _page in UI_PAGES:
+        _register_ui_page(_page)
 
     @app.get("/admin")
     async def admin_redirect() -> FileResponse:
         return FileResponse(UI_DIST_PATH / "index.html")
 
-    @app.get("/dashboard", include_in_schema=False)
-    async def serve_dashboard_ui() -> FileResponse:
-        return FileResponse(UI_DIST_PATH / "index.html")
-
-    @app.get("/login", include_in_schema=False)
-    async def serve_login_ui() -> FileResponse:
-        return FileResponse(UI_DIST_PATH / "login" / "index.html")
-
-    # Add explicit route for /login/index.txt to redirect to /login
-    @app.get("/login/index.txt", include_in_schema=False)
-    async def redirect_login_index_txt() -> RedirectResponse:
-        return RedirectResponse("/login")
-
-    @app.get("/model", include_in_schema=False)
-    async def serve_models_ui() -> FileResponse:
-        return FileResponse(UI_DIST_PATH / "model" / "index.html")
-
-    # Add explicit route for /model/index.txt to redirect to /model
-    @app.get("/model/index.txt", include_in_schema=False)
-    async def redirect_model_index_txt() -> RedirectResponse:
-        return RedirectResponse("/model")
-
-    @app.get("/providers", include_in_schema=False)
-    async def serve_providers_ui() -> FileResponse:
-        return FileResponse(UI_DIST_PATH / "providers" / "index.html")
-
-    # Add explicit route for /providers/index.txt to redirect to /providers
-    @app.get("/providers/index.txt", include_in_schema=False)
-    async def redirect_providers_index_txt() -> RedirectResponse:
-        return RedirectResponse("/providers")
-
-    @app.get("/settings", include_in_schema=False)
-    async def serve_settings_ui() -> FileResponse:
-        return FileResponse(UI_DIST_PATH / "settings" / "index.html")
-
-    # Add explicit route for /settings/index.txt to redirect to /settings
-    @app.get("/settings/index.txt", include_in_schema=False)
-    async def redirect_settings_index_txt() -> RedirectResponse:
-        return RedirectResponse("/settings")
-
-    @app.get("/transactions", include_in_schema=False)
-    async def serve_transactions_ui() -> FileResponse:
-        return FileResponse(UI_DIST_PATH / "transactions" / "index.html")
-
-    # Add explicit route for /transactions/index.txt to redirect to /transactions
-    @app.get("/transactions/index.txt", include_in_schema=False)
-    async def redirect_transactions_index_txt() -> RedirectResponse:
-        return RedirectResponse("/transactions")
-
-    @app.get("/balances", include_in_schema=False)
-    async def serve_balances_ui() -> FileResponse:
-        return FileResponse(UI_DIST_PATH / "balances" / "index.html")
-
-    # Add explicit route for /balances/index.txt to redirect to /balances
-    @app.get("/balances/index.txt", include_in_schema=False)
-    async def redirect_balances_index_txt() -> RedirectResponse:
-        return RedirectResponse("/balances")
-
-    @app.get("/logs", include_in_schema=False)
-    async def serve_logs_ui() -> FileResponse:
-        return FileResponse(UI_DIST_PATH / "logs" / "index.html")
-
-    # Add explicit route for /logs/index.txt to redirect to /logs
-    @app.get("/logs/index.txt", include_in_schema=False)
-    async def redirect_logs_index_txt() -> RedirectResponse:
-        return RedirectResponse("/logs")
-
-    @app.get("/usage", include_in_schema=False)
-    async def serve_usage_ui() -> FileResponse:
-        return FileResponse(UI_DIST_PATH / "usage" / "index.html")
-
-    # Add explicit route for /usage/index.txt to redirect to /usage
-    @app.get("/usage/index.txt", include_in_schema=False)
-    async def redirect_usage_index_txt() -> RedirectResponse:
-        return RedirectResponse("/usage")
-
-    @app.get("/unauthorized", include_in_schema=False)
-    async def serve_unauthorized_ui() -> FileResponse:
-        return FileResponse(UI_DIST_PATH / "unauthorized" / "index.html")
-
-    # Add explicit route for /unauthorized/index.txt to redirect to /unauthorized
-    @app.get("/unauthorized/index.txt", include_in_schema=False)
-    async def redirect_unauthorized_index_txt() -> RedirectResponse:
-        return RedirectResponse("/unauthorized")
-
     @app.get("/favicon.ico", include_in_schema=False)
     async def serve_favicon() -> FileResponse:
         icon_path = UI_DIST_PATH / "icon.ico"
@@ -353,9 +353,6 @@ if UI_DIST_PATH.exists() and UI_DIST_PATH.is_dir():
     async def serve_icon() -> FileResponse:
         return FileResponse(UI_DIST_PATH / "icon.ico")
 
-    app.mount(
-        "/static", StaticFiles(directory=UI_DIST_PATH, check_dir=True), name="ui-static"
-    )
 else:
     logger.warning(
         f"UI dist directory not found at {UI_DIST_PATH}, skipping static file serving"
@@ -375,6 +372,7 @@ else:
 app.include_router(models_router)
 app.include_router(admin_router)
 app.include_router(balance_router)
+app.include_router(lightning_router)
 app.include_router(deprecated_wallet_router)
 app.include_router(providers_router)
 app.include_router(proxy_router)

routstr/core/middleware.py

@@ -14,8 +14,54 @@ logger = get_logger(__name__)
 request_id_context: ContextVar[str | None] = ContextVar("request_id")
 
 
+# Methods that are never logged: HEAD requests are health probes from
+# monitoring/load balancers, OPTIONS are CORS preflights — both are framework
+# chatter, not user-meaningful events.
+_SKIP_LOG_METHODS: frozenset[str] = frozenset({"HEAD", "OPTIONS"})
+
+# Path prefixes to skip. Includes Next.js static chunks and the admin
+# dashboard's internal polling API (/admin/api/*) which the UI hits on a timer
+# to refresh balances, logs, providers, etc. — high volume, low diagnostic
+# value. Mutating admin actions are recorded separately in the audit log.
+_SKIP_LOG_PREFIXES: tuple[str, ...] = (
+    "/_next/",
+    "/admin/api/",
+)
+
+# Exact paths to skip. RSC payload prefetches (`*/index.txt`) fire automatically
+# as the user hovers near `<Link>`s, and `/v1/wallet/info` is polled by the UI.
+_SKIP_LOG_EXACT: frozenset[str] = frozenset(
+    {
+        "/favicon.ico",
+        "/icon.ico",
+        "/v1/wallet/info",
+        "/index.txt",
+        "/login/index.txt",
+        "/model/index.txt",
+        "/providers/index.txt",
+        "/settings/index.txt",
+        "/transactions/index.txt",
+        "/balances/index.txt",
+        "/logs/index.txt",
+        "/usage/index.txt",
+        "/unauthorized/index.txt",
+    }
+)
+
+
+def _should_log(method: str, path: str) -> bool:
+    if method in _SKIP_LOG_METHODS:
+        return False
+    if path in _SKIP_LOG_EXACT:
+        return False
+    return not any(path.startswith(prefix) for prefix in _SKIP_LOG_PREFIXES)
+
+
 class LoggingMiddleware(BaseHTTPMiddleware):
-    """Middleware to log detailed request and response information."""
+    """Middleware to log proxy interactions and page navigation.
+
+    Skips logging for static assets and Next.js chunks to avoid noise.
+    """
 
     async def dispatch(self, request: Request, call_next: Callable) -> Response:
         # Generate request ID
@@ -25,56 +71,20 @@ class LoggingMiddleware(BaseHTTPMiddleware):
         # Set request ID in context for logging
         token = request_id_context.set(request_id)
 
+        path = request.url.path
+        should_log = _should_log(request.method, path)
+
         # Start timing
         start_time = time.time()
 
-        # Log request details
-        request_body = None
-        if request.method in ["POST", "PUT", "PATCH"]:
-            try:
-                # Only read body for non-streaming requests
-                if hasattr(request, "_body"):
-                    request_body = await request.body()
-            except Exception:
-                pass
-
-        # Log incoming request
-        logger.info(
-            "Incoming request",
-            extra={
-                "request_id": request_id,
-                "method": request.method,
-                "path": request.url.path,
-                "query_params": dict(request.query_params),
-                "headers": {
-                    k: v
-                    for k, v in request.headers.items()
-                    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,
-            },
-        )
-
-        # Log at TRACE level for full body (security filter will redact sensitive data)
-        if request_body and hasattr(logger, "exception"):
-            logger.exception(
-                "Request body",
+        if should_log:
+            logger.info(
+                "Incoming request",
                 extra={
                     "request_id": request_id,
                     "method": request.method,
-                    "path": request.url.path,
-                    "body": request_body.decode("utf-8", errors="ignore")[
-                        :1000
-                    ],  # Limit size
+                    "path": path,
+                    "query_params": dict(request.query_params),
                 },
             )
 
@@ -82,36 +92,32 @@ class LoggingMiddleware(BaseHTTPMiddleware):
         try:
             response = await call_next(request)
 
-            # Calculate duration
-            duration = time.time() - start_time
-
-            # Log response
-            logger.info(
-                "Request completed",
-                extra={
-                    "request_id": request_id,
-                    "method": request.method,
-                    "path": request.url.path,
-                    "status_code": response.status_code,
-                    "duration_ms": round(duration * 1000, 2),
-                },
-            )
+            if should_log:
+                duration = time.time() - start_time
+                logger.info(
+                    "Request completed",
+                    extra={
+                        "request_id": request_id,
+                        "method": request.method,
+                        "path": path,
+                        "status_code": response.status_code,
+                        "duration_ms": round(duration * 1000, 2),
+                    },
+                )
             if hasattr(response, "headers"):
                 response.headers["x-routstr-request-id"] = request_id
 
             return response
 
         except Exception as e:
-            # Calculate duration
+            # Always log failures, even for skipped paths, so we don't lose errors.
             duration = time.time() - start_time
-
-            # Log error
             logger.error(
                 "Request failed",
                 extra={
                     "request_id": request_id,
                     "method": request.method,
-                    "path": request.url.path,
+                    "path": path,
                     "duration_ms": round(duration * 1000, 2),
                     "error": str(e),
                     "error_type": type(e).__name__,

routstr/core/not_found.py

@@ -0,0 +1,55 @@
+"""Shared 404 handler used by the proxy catch-all and tests."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+from fastapi import Request
+from fastapi.responses import HTMLResponse, JSONResponse, Response
+
+_NOT_FOUND_HTML_FILE = Path(__file__).parent.parent.parent / "ui_out" / "404.html"
+
+
+def _read_not_found_html() -> str | None:
+    try:
+        return _NOT_FOUND_HTML_FILE.read_text(encoding="utf-8")
+    except OSError:
+        return None
+
+
+_NOT_FOUND_HTML: str | None = _read_not_found_html()
+
+
+def build_not_found_response(request: Request, path: str) -> Response:
+    """Return a 404 response.
+
+    HTML 404 page only for GET requests from browsers (Accept: text/html).
+    All POST requests and API clients receive a JSON 404.
+    """
+    accept = request.headers.get("accept", "").lower()
+    prefers_html = (
+        request.method == "GET"
+        and "text/html" in accept
+        and "application/json" not in accept
+    )
+    request_id = getattr(request.state, "request_id", "unknown")
+
+    if prefers_html and _NOT_FOUND_HTML is not None:
+        return HTMLResponse(content=_NOT_FOUND_HTML, status_code=404)
+
+    return JSONResponse(
+        status_code=404,
+        content={
+            "error": {
+                "message": f"Path '/{path}' not found",
+                "type": "not_found",
+                "code": 404,
+            },
+            "request_id": request_id,
+        },
+    )
+
+
+async def not_found_catch_all(request: Request, path: str) -> Response:
+    """ASGI handler form of :func:`build_not_found_response`."""
+    return build_not_found_response(request, path)

routstr/core/settings.py

@@ -41,6 +41,15 @@ class Settings(BaseSettings):
     primary_mint: str = Field(default="", env="PRIMARY_MINT_URL")
     primary_mint_unit: str = Field(default="sat", env="PRIMARY_MINT_UNIT")
 
+    # Lightning payout configuration
+    # Minimum available balance (in satoshis) before profit is paid out over
+    # Lightning
+    min_payout_sat: int = Field(default=210, gt=0, env="MIN_PAYOUT_SAT")
+    # Interval (seconds) between periodic payout attempts. Must be positive.
+    payout_interval_seconds: int = Field(
+        default=900, gt=0, env="PAYOUT_INTERVAL_SECONDS"
+    )
+
     # Pricing
     # Default behavior: derive pricing from MODELS
     # If fixed_pricing is True -> use fixed_cost_per_request and ignore tokens

routstr/core/version.py

@@ -0,0 +1,81 @@
+"""Application version resolution.
+
+Priority order:
+
+1. ``VERSION_SUFFIX`` env var (manual override; preserves prior behaviour).
+2. Bare base version when HEAD is on the matching release tag (detected via
+   ``GIT_TAG`` env or ``git describe --tags --exact-match HEAD``).
+3. ``GIT_COMMIT`` env var (build-time injection) -> ``<base>+g<sha>``.
+4. Local ``.git`` lookup (source checkouts) -> ``<base>+g<sha>``.
+5. Fallback: bare base version.
+
+The ``+g<sha>`` form is PEP 440 local-version syntax so the result remains a
+valid package version.
+"""
+
+from __future__ import annotations
+
+import os
+import subprocess
+from functools import lru_cache
+from pathlib import Path
+
+BASE_VERSION = "0.4.3"
+
+_REPO_ROOT = Path(__file__).resolve().parents[2]
+_GIT_TIMEOUT_SECONDS = 2.0
+
+
+def _run_git(*args: str) -> str | None:
+    try:
+        result = subprocess.run(  # noqa: S603 - fixed argv, no shell
+            ["git", *args],
+            cwd=_REPO_ROOT,
+            check=False,
+            capture_output=True,
+            text=True,
+            timeout=_GIT_TIMEOUT_SECONDS,
+        )
+    except (FileNotFoundError, subprocess.SubprocessError, OSError):
+        return None
+    if result.returncode != 0:
+        return None
+    return result.stdout.strip() or None
+
+
+def _git_short_sha() -> str | None:
+    sha = os.getenv("GIT_COMMIT", "").strip()
+    if sha:
+        return sha[:7]
+    return _run_git("rev-parse", "--short=7", "HEAD")
+
+
+def _on_tagged_release() -> bool:
+    tag = os.getenv("GIT_TAG", "").strip()
+    if tag:
+        return tag.lstrip("v") == BASE_VERSION
+    described = _run_git("describe", "--tags", "--exact-match", "HEAD")
+    if described and described.lstrip("v") == BASE_VERSION:
+        return True
+    return False
+
+
+@lru_cache(maxsize=1)
+def get_version() -> str:
+    suffix = os.getenv("VERSION_SUFFIX")
+    if suffix is not None:
+        return f"{BASE_VERSION}-{suffix}"
+
+    if _on_tagged_release():
+        return BASE_VERSION
+
+    sha = _git_short_sha()
+    if not sha:
+        return BASE_VERSION
+
+    return f"{BASE_VERSION}+g{sha}"
+
+
+__version__ = get_version()
+
+__all__ = ["BASE_VERSION", "__version__", "get_version"]

routstr/lightning.py

@@ -1,13 +1,14 @@
+import asyncio
 import hashlib
 import secrets
 import time
 
-from fastapi import APIRouter, Depends, HTTPException
+from fastapi import APIRouter, Depends, Header, HTTPException
 from pydantic import BaseModel, Field
-from sqlmodel import select
+from sqlmodel import col, select
 from sqlmodel.ext.asyncio.session import AsyncSession
 
-from .core.db import ApiKey, LightningInvoice, get_session
+from .core.db import ApiKey, LightningInvoice, create_session, get_session
 from .core.logging import get_logger
 from .core.settings import settings
 from .wallet import get_wallet
@@ -19,15 +20,29 @@ lightning_router = APIRouter(prefix="/lightning")
 
 class InvoiceCreateRequest(BaseModel):
     amount_sats: int = Field(gt=0, le=1_000_000, description="Amount in satoshis")
-    purpose: str = Field(description="create or topup", pattern="^(create|topup)$")
+    purpose: str = Field(
+        default="create",
+        description="create or topup",
+        pattern="^(create|topup)$",
+    )
     api_key: str | None = Field(
-        default=None, description="Required for topup operations"
+        default=None,
+        description="Deprecated: legacy field for topup. Prefer Authorization header.",
     )
     balance_limit: int | None = Field(default=None)
     balance_limit_reset: str | None = Field(default=None)
     validity_date: int | None = Field(default=None)
 
 
+def _extract_bearer_api_key(authorization: str | None) -> str | None:
+    if not authorization:
+        return None
+    token = authorization.strip()
+    if token.lower().startswith("bearer "):
+        token = token[7:].strip()
+    return token or None
+
+
 class InvoiceCreateResponse(BaseModel):
     invoice_id: str
     bolt11: str
@@ -64,18 +79,21 @@ def generate_invoice_id() -> str:
 @lightning_router.post("/invoice", response_model=InvoiceCreateResponse)
 async def create_invoice(
     request: InvoiceCreateRequest,
+    authorization: str | None = Header(default=None),
     session: AsyncSession = Depends(get_session),
 ) -> InvoiceCreateResponse:
-    if request.purpose == "topup" and not request.api_key:
-        raise HTTPException(
-            status_code=400, detail="api_key is required for topup operations"
-        )
+    api_key_token = _extract_bearer_api_key(authorization) or request.api_key
 
-    if request.purpose == "topup" and request.api_key:
-        if not request.api_key.startswith("sk-"):
+    if request.purpose == "topup":
+        if not api_key_token:
+            raise HTTPException(
+                status_code=401,
+                detail="Authorization bearer api key is required for topup",
+            )
+        if not api_key_token.startswith("sk-"):
             raise HTTPException(status_code=400, detail="Invalid API key format")
 
-        api_key = await session.get(ApiKey, request.api_key[3:])
+        api_key = await session.get(ApiKey, api_key_token[3:])
         if not api_key:
             raise HTTPException(status_code=404, detail="API key not found")
 
@@ -95,7 +113,7 @@ async def create_invoice(
             description=description,
             payment_hash=payment_hash,
             status="pending",
-            api_key_hash=request.api_key[3:] if request.api_key else None,
+            api_key_hash=api_key_token[3:] if api_key_token else None,
             purpose=request.purpose,
             balance_limit=request.balance_limit,
             balance_limit_reset=request.balance_limit_reset,
@@ -142,13 +160,13 @@ async def get_invoice_status(
     if not invoice:
         raise HTTPException(status_code=404, detail="Invoice not found")
 
+    if invoice.status == "pending":
+        await check_invoice_payment(invoice, session)
+
     if invoice.status == "pending" and int(time.time()) > invoice.expires_at:
         invoice.status = "expired"
         await session.commit()
 
-    if invoice.status == "pending":
-        await check_invoice_payment(invoice, session)
-
     api_key = None
     if invoice.status == "paid" and invoice.purpose == "create":
         if invoice.api_key_hash:
@@ -274,3 +292,41 @@ async def topup_api_key_from_invoice(
 
     api_key.balance += invoice.amount_sats * 1000  # Convert to msats
     await session.flush()
+
+
+INVOICE_WATCH_INTERVAL_SECONDS = 5
+INVOICE_WATCH_BATCH_LIMIT = 100
+
+
+async def periodic_invoice_watcher() -> None:
+    """Background task: detect paid Lightning invoices and credit balances.
+
+    Removes the need for clients to poll the status endpoint after paying.
+    """
+    while True:
+        try:
+            async with create_session() as session:
+                now = int(time.time())
+                result = await session.exec(
+                    select(LightningInvoice)
+                    .where(
+                        LightningInvoice.status == "pending",
+                        col(LightningInvoice.expires_at) > now,
+                    )
+                    .limit(INVOICE_WATCH_BATCH_LIMIT)
+                )
+                pending = result.all()
+                for invoice in pending:
+                    try:
+                        await check_invoice_payment(invoice, session)
+                    except Exception as e:
+                        logger.error(
+                            "Invoice watcher failed for invoice",
+                            extra={"invoice_id": invoice.id, "error": str(e)},
+                        )
+        except asyncio.CancelledError:
+            raise
+        except Exception as e:
+            logger.error(f"Invoice watcher loop error: {e}")
+
+        await asyncio.sleep(INVOICE_WATCH_INTERVAL_SECONDS)

routstr/nostr/listing.py

@@ -26,7 +26,7 @@ logger = get_logger(__name__)
 
 def get_app_version() -> str | None:
     try:
-        from ..core.main import __version__ as imported_version
+        from ..core.version import __version__ as imported_version
 
         return imported_version
     except Exception:

routstr/payment/cost_calculation.py

@@ -18,6 +18,10 @@ class CostData(BaseModel):
     total_usd: float = 0.0
     input_tokens: int = 0
     output_tokens: int = 0
+    cache_read_input_tokens: int = 0
+    cache_creation_input_tokens: int = 0
+    cache_read_msats: int = 0
+    cache_creation_msats: int = 0
 
 
 class MaxCostData(CostData):
@@ -29,11 +33,10 @@ class CostDataError(BaseModel):
     code: str
 
 
-async def calculate_cost(  # todo: can be sync
+async def calculate_cost(
     response_data: dict, max_cost: int, session: AsyncSession
 ) -> CostData | MaxCostData | CostDataError:
-    """
-    Calculate the cost of an API request based on token usage.
+    """Calculate the cost of an API request based on token usage.
 
     Args:
         response_data: Response data containing usage information
@@ -51,12 +54,20 @@ async def calculate_cost(  # todo: can be sync
         },
     )
 
+    # Check for usage data
     if "usage" not in response_data or response_data["usage"] is None:
         logger.warning(
-            "No usage data in response, using base cost only",
+            "No usage data in response — billing at MaxCostData with zero "
+            "tokens. Dashboard will show this request as `(0+0)`. Most "
+            "common cause: upstream stream did not include a final usage "
+            "chunk (OpenAI-compat backends require "
+            "`stream_options.include_usage=true`).",
             extra={
                 "max_cost_msats": max_cost,
                 "model": response_data.get("model", "unknown"),
+                "response_keys": sorted(response_data.keys())
+                if isinstance(response_data, dict)
+                else None,
             },
         )
         return MaxCostData(
@@ -67,116 +78,58 @@ async def calculate_cost(  # todo: can be sync
             total_usd=0.0,
             input_tokens=0,
             output_tokens=0,
+            cache_read_input_tokens=0,
+            cache_creation_input_tokens=0,
+            cache_read_msats=0,
+            cache_creation_msats=0,
         )
 
     usage_data = response_data["usage"]
 
-    def parse_token_count(value: object) -> int:
-        if isinstance(value, bool):
-            return 0
-        if isinstance(value, int):
-            return max(0, value)
-        if isinstance(value, float):
-            return max(0, int(value))
-        if isinstance(value, str):
-            try:
-                return max(0, int(float(value)))
-            except ValueError:
-                return 0
-        return 0
+    # Extract token counts
+    input_tokens = _extract_token_pair(usage_data, "prompt_tokens", "input_tokens")
+    output_tokens = _extract_token_pair(usage_data, "completion_tokens", "output_tokens")
 
-    input_tokens = parse_token_count(usage_data.get("prompt_tokens", 0))
-    output_tokens = parse_token_count(usage_data.get("completion_tokens", 0))
-    input_tokens = (
-        input_tokens
-        if input_tokens != 0
-        else parse_token_count(usage_data.get("input_tokens", 0))
-    )
-    output_tokens = (
-        output_tokens
-        if output_tokens != 0
-        else parse_token_count(usage_data.get("output_tokens", 0))
-    )
-    input_tokens = (
-        input_tokens
-        if input_tokens != 0
-        else parse_token_count(response_data.get("usage", {}).get("input_tokens", 0))
-    )
-    output_tokens = (
-        output_tokens
-        if output_tokens != 0
-        else parse_token_count(response_data.get("usage", {}).get("output_tokens", 0))
-    )
-
-    usd_cost = 0.0
-    input_usd = 0.0
-    output_usd = 0.0
-
-    if "cost_details" in usage_data:
-        usd_cost = float(
-            usage_data["cost_details"].get("upstream_inference_cost", 0) or 0
-        )
-        input_usd = float(
-            usage_data["cost_details"].get("upstream_inference_prompt_cost", 0) or 0
-        )
-        output_usd = float(
-            usage_data["cost_details"].get("upstream_inference_completions_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
-
-    MSATS_PER_1K_INPUT_TOKENS: float = (
-        float(settings.fixed_per_1k_input_tokens) * 1000.0
-    )
-    MSATS_PER_1K_OUTPUT_TOKENS: float = (
-        float(settings.fixed_per_1k_output_tokens) * 1000.0
+    # Extract cache tokens (handles OpenAI vs Anthropic formats)
+    cache_read_tokens, cache_creation_tokens, input_tokens = _extract_cache_tokens(
+        usage_data, input_tokens
     )
 
+    # Try USD cost first
+    usd_cost = _resolve_usd_cost(usage_data, response_data)
     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)
-
-            input_msats = 0
-            output_msats = 0
-
-            if input_usd > 0 or output_usd > 0:
-                input_msats = int((input_usd * sats_per_usd) * 1000)
-                output_msats = int((output_usd * sats_per_usd) * 1000)
-            else:
-                total_tokens = input_tokens + output_tokens
-                if total_tokens > 0:
-                    input_ratio = input_tokens / total_tokens
-                    input_msats = int(cost_in_msats * input_ratio)
-                    output_msats = cost_in_msats - input_msats
-                else:
-                    output_msats = cost_in_msats
-
-            logger.info(
-                "Using cost from usage data/details",
+        if input_tokens == 0 and output_tokens == 0:
+            logger.warning(
+                "Upstream reported a USD cost but no token counts — "
+                "billing the USD-derived cost while the dashboard will "
+                "show this request as `(0+0)` tokens. Check that the "
+                "upstream actually emits `usage.input_tokens` and "
+                "`usage.output_tokens` (OpenAI-compat streams require "
+                "`stream_options.include_usage=true`).",
                 extra={
-                    "usd_cost": usd_cost,
-                    "cost_in_sats": cost_in_sats,
-                    "cost_in_msats": cost_in_msats,
                     "model": response_data.get("model", "unknown"),
+                    "usd_cost": usd_cost,
+                    "usage_keys": sorted(usage_data.keys())
+                    if isinstance(usage_data, dict)
+                    else None,
                 },
             )
-
-            return CostData(
-                base_msats=0,
-                input_msats=input_msats,
-                output_msats=output_msats,
-                total_msats=cost_in_msats,
-                total_usd=usd_cost,
-                input_tokens=input_tokens,
-                output_tokens=output_tokens,
+        try:
+            input_usd = _coerce_usd(
+                usage_data.get("cost_details", {}).get("input_cost", 0)
+            )
+            output_usd = _coerce_usd(
+                usage_data.get("cost_details", {}).get("output_cost", 0)
+            )
+            return _calculate_from_usd_cost(
+                usd_cost,
+                input_usd,
+                output_usd,
+                input_tokens,
+                cache_read_tokens,
+                cache_creation_tokens,
+                output_tokens,
+                response_data,
             )
         except Exception as e:
             logger.warning(
@@ -187,62 +140,35 @@ async def calculate_cost(  # todo: can be sync
                     "model": response_data.get("model", "unknown"),
                 },
             )
-            # Fall through to token-based calculation
 
-    if not settings.fixed_pricing:
-        response_model = response_data.get("model", "")
-        logger.debug(
-            "Using model-based pricing",
-            extra={"model": response_model},
-        )
+    # Fall back to token-based pricing
+    try:
+        pricing_rates = _get_pricing_rates(response_data)
+    except ValueError as e:
+        return CostDataError(message=str(e), code="pricing_error")
 
-        from ..proxy import get_model_instance
+    if pricing_rates is None:
+        input_rate = float(settings.fixed_per_1k_input_tokens) * 1000.0
+        output_rate = float(settings.fixed_per_1k_output_tokens) * 1000.0
+        cache_read_rate = input_rate
+        cache_creation_rate = input_rate
+    else:
+        input_rate, output_rate, cache_read_rate, cache_creation_rate = pricing_rates
 
-        model_obj = get_model_instance(response_model)
-
-        if not model_obj:
-            logger.error(
-                "Invalid model in response",
-                extra={"response_model": response_model},
-            )
-            return CostDataError(
-                message=f"Invalid model in response: {response_model}",
-                code="model_not_found",
-            )
-
-        if not model_obj.sats_pricing:
-            logger.error(
-                "Model pricing not defined",
-                extra={"model": response_model, "model_id": response_model},
-            )
-            return CostDataError(
-                message="Model pricing not defined", code="pricing_not_found"
-            )
-
-        try:
-            mspp = float(model_obj.sats_pricing.prompt)
-            mspc = float(model_obj.sats_pricing.completion)
-        except Exception:
-            return CostDataError(message="Invalid pricing data", code="pricing_invalid")
-
-        MSATS_PER_1K_INPUT_TOKENS = mspp * 1_000_000.0
-        MSATS_PER_1K_OUTPUT_TOKENS = mspc * 1_000_000.0
-
-        logger.info(
-            "Applied model-specific pricing",
-            extra={
-                "model": response_model,
-                "input_price_msats_per_1k": MSATS_PER_1K_INPUT_TOKENS,
-                "output_price_msats_per_1k": MSATS_PER_1K_OUTPUT_TOKENS,
-            },
-        )
-
-    if not (MSATS_PER_1K_OUTPUT_TOKENS and MSATS_PER_1K_INPUT_TOKENS):
+    if not (input_rate and output_rate):
         logger.warning(
-            "No token pricing configured, using base cost",
+            "No token pricing configured — billing at flat MaxCostData. "
+            "Token counts %s in the upstream response but cannot be "
+            "priced; the request will appear in dashboards with the "
+            "raw counts and a fixed max-cost charge.",
+            "are present"
+            if (input_tokens > 0 or output_tokens > 0)
+            else "are zero",
             extra={
                 "base_cost_msats": max_cost,
                 "model": response_data.get("model", "unknown"),
+                "input_tokens": input_tokens,
+                "output_tokens": output_tokens,
             },
         )
         return MaxCostData(
@@ -252,12 +178,263 @@ async def calculate_cost(  # todo: can be sync
             total_msats=max_cost,
             input_tokens=input_tokens,
             output_tokens=output_tokens,
+            cache_read_input_tokens=cache_read_tokens,
+            cache_creation_input_tokens=cache_creation_tokens,
+            cache_read_msats=0,
+            cache_creation_msats=0,
         )
 
-    calc_input_msats = round(input_tokens / 1000 * MSATS_PER_1K_INPUT_TOKENS, 3)
+    return _calculate_from_tokens(
+        input_tokens,
+        output_tokens,
+        cache_read_tokens,
+        cache_creation_tokens,
+        input_rate,
+        output_rate,
+        cache_read_rate,
+        cache_creation_rate,
+        response_data,
+    )
 
-    calc_output_msats = round(output_tokens / 1000 * MSATS_PER_1K_OUTPUT_TOKENS, 3)
-    token_based_cost = math.ceil(calc_input_msats + calc_output_msats)
+
+# ============================================================================
+# Helper Functions (ordered by call sequence in calculate_cost)
+# ============================================================================
+
+
+def parse_token_count(value: object) -> int:
+    """Parse a token count from various formats (int, float, str, bool)."""
+    if isinstance(value, bool):
+        return 0
+    if isinstance(value, int):
+        return max(0, value)
+    if isinstance(value, float):
+        return max(0, int(value))
+    if isinstance(value, str):
+        try:
+            return max(0, int(float(value)))
+        except ValueError:
+            return 0
+    return 0
+
+
+def _coerce_usd(value: object) -> float:
+    """Coerce a value to USD float, handling various formats safely."""
+    if value is None or isinstance(value, bool):
+        return 0.0
+    if not isinstance(value, (int, float, str)):
+        return 0.0
+    try:
+        return max(0.0, float(value))
+    except (TypeError, ValueError):
+        return 0.0
+
+
+def _extract_token_pair(
+    usage_data: dict, standard_field: str, alt_field: str
+) -> int:
+    """Extract token count trying two field names in order."""
+    value = parse_token_count(usage_data.get(standard_field, 0))
+    if value > 0:
+        return value
+    return parse_token_count(usage_data.get(alt_field, 0))
+
+
+def _extract_cache_tokens(usage_data: dict, input_tokens: int) -> tuple[int, int, int]:
+    """Extract cache tokens, handling OpenAI vs Anthropic formats.
+
+    Returns: (cache_read_tokens, cache_creation_tokens, adjusted_input_tokens)
+    """
+    cache_read = parse_token_count(usage_data.get("cache_read_input_tokens", 0))
+    cache_creation = parse_token_count(
+        usage_data.get("cache_creation_input_tokens", 0)
+    )
+
+    # OpenAI: cache is included in input_tokens, subtract it
+    prompt_details = usage_data.get("prompt_tokens_details")
+    if isinstance(prompt_details, dict) and not cache_read:
+        openai_cached = parse_token_count(prompt_details.get("cached_tokens", 0))
+        if openai_cached:
+            cache_read = openai_cached
+            input_tokens = max(0, input_tokens - cache_read)
+
+    return cache_read, cache_creation, input_tokens
+
+
+def _resolve_usd_cost(usage_data: dict, response_data: dict) -> float:
+    """Resolve USD cost with clear priority order.
+
+    Priority: cost_details.total_cost → total_cost → cost (in both usage and response).
+    """
+    cost_details = usage_data.get("cost_details")
+    if isinstance(cost_details, dict):
+        cost = _coerce_usd(cost_details.get("total_cost"))
+        if cost > 0:
+            return cost
+
+    for source in [usage_data, response_data]:
+        if not isinstance(source, dict):
+            continue
+        for field in ("total_cost", "cost"):
+            cost = _coerce_usd(source.get(field))
+            if cost > 0:
+                return cost
+
+    return 0.0
+
+
+def _get_pricing_rates(
+    response_data: dict,
+) -> tuple[float, float, float, float] | None:
+    """Get model-based pricing rates or None if using fixed pricing.
+
+    Returns: (input_rate, output_rate, cache_read_rate, cache_write_rate)
+    """
+    if settings.fixed_pricing:
+        return None
+
+    from ..proxy import get_model_instance
+
+    response_model = response_data.get("model", "")
+    model_obj = get_model_instance(response_model)
+
+    if not model_obj:
+        logger.error("Invalid model in response", extra={"response_model": response_model})
+        raise ValueError(f"Invalid model: {response_model}")
+
+    if not model_obj.sats_pricing:
+        logger.error(
+            "Model pricing not defined",
+            extra={"model": response_model, "model_id": response_model},
+        )
+        raise ValueError("Model pricing not defined")
+
+    try:
+        mspp = float(model_obj.sats_pricing.prompt)
+        mspc = float(model_obj.sats_pricing.completion)
+        mscr = float(model_obj.sats_pricing.input_cache_read or 0)
+        mscw = float(model_obj.sats_pricing.input_cache_write or 0)
+
+        mspp_1k = mspp * 1_000_000.0
+        mspc_1k = mspc * 1_000_000.0
+        mscr_1k = mscr * 1_000_000.0 if mscr > 0 else mspp_1k
+        mscw_1k = mscw * 1_000_000.0 if mscw > 0 else mspp_1k
+
+        logger.info(
+            "Applied model-specific pricing",
+            extra={
+                "model": response_model,
+                "input_price_msats_per_1k": mspp_1k,
+                "output_price_msats_per_1k": mspc_1k,
+                "cache_read_price_msats_per_1k": mscr_1k,
+                "cache_write_price_msats_per_1k": mscw_1k,
+            },
+        )
+        return mspp_1k, mspc_1k, mscr_1k, mscw_1k
+    except Exception as e:
+        logger.error("Invalid pricing data", extra={"error": str(e)})
+        raise ValueError("Invalid pricing data") from e
+
+
+def _resolve_provider_fee(model_id: str) -> float:
+    """Resolve the provider fee multiplier for the given model id.
+
+    Falls back to 1.0 (no markup) when the provider cannot be resolved so
+    the USD cost path never silently double-applies or omits the fee.
+    """
+    from ..proxy import get_provider_for_model
+
+    if not model_id:
+        return 1.0
+    providers = get_provider_for_model(model_id)
+    if not providers:
+        return 1.0
+    return float(providers[0].provider_fee)
+
+
+def _calculate_from_usd_cost(
+    usd_cost: float,
+    input_usd: float,
+    output_usd: float,
+    input_tokens: int,
+    cache_read_tokens: int,
+    cache_creation_tokens: int,
+    output_tokens: int,
+    response_data: dict,
+) -> CostData:
+    """Calculate cost from USD figures, deriving input/output split from tokens."""
+    provider_fee = _resolve_provider_fee(response_data.get("model", ""))
+    usd_cost = usd_cost * provider_fee
+    input_usd = input_usd * provider_fee
+    output_usd = output_usd * provider_fee
+    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)
+
+    if input_usd > 0 or output_usd > 0:
+        input_msats = int((input_usd * sats_per_usd) * 1000)
+        output_msats = int((output_usd * sats_per_usd) * 1000)
+    else:
+        effective_input_tokens = (
+            input_tokens + cache_read_tokens + cache_creation_tokens
+        )
+        total_tokens = effective_input_tokens + output_tokens
+        input_msats = (
+            int(cost_in_msats * effective_input_tokens / total_tokens)
+            if total_tokens > 0
+            else 0
+        )
+        output_msats = cost_in_msats - input_msats
+
+    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=0,
+        input_msats=input_msats,
+        output_msats=output_msats,
+        total_msats=cost_in_msats,
+        total_usd=usd_cost,
+        input_tokens=input_tokens,
+        output_tokens=output_tokens,
+        cache_read_input_tokens=cache_read_tokens,
+        cache_creation_input_tokens=cache_creation_tokens,
+        cache_read_msats=0,
+        cache_creation_msats=0,
+    )
+
+
+def _calculate_from_tokens(
+    input_tokens: int,
+    output_tokens: int,
+    cache_read_tokens: int,
+    cache_creation_tokens: int,
+    input_rate: float,
+    output_rate: float,
+    cache_read_rate: float,
+    cache_creation_rate: float,
+    response_data: dict,
+) -> CostData:
+    """Calculate cost from token counts using pricing rates."""
+    calc_input_msats = round(input_tokens / 1000 * input_rate, 3)
+    calc_output_msats = round(output_tokens / 1000 * output_rate, 3)
+    calc_cache_read_msats = round(cache_read_tokens / 1000 * cache_read_rate, 3)
+    calc_cache_write_msats = round(
+        cache_creation_tokens / 1000 * cache_creation_rate, 3
+    )
+    token_based_cost = math.ceil(
+        calc_input_msats
+        + calc_output_msats
+        + calc_cache_read_msats
+        + calc_cache_write_msats
+    )
     total_usd = (token_based_cost / 1000.0) * sats_usd_price()
 
     logger.info(
@@ -265,8 +442,12 @@ async def calculate_cost(  # todo: can be sync
         extra={
             "input_tokens": input_tokens,
             "output_tokens": output_tokens,
+            "cache_read_input_tokens": cache_read_tokens,
+            "cache_creation_input_tokens": cache_creation_tokens,
             "input_cost_msats": calc_input_msats,
             "output_cost_msats": calc_output_msats,
+            "cache_read_cost_msats": calc_cache_read_msats,
+            "cache_creation_cost_msats": calc_cache_write_msats,
             "total_cost_msats": token_based_cost,
             "total_usd": total_usd,
             "model": response_data.get("model", "unknown"),
@@ -281,4 +462,8 @@ async def calculate_cost(  # todo: can be sync
         total_usd=total_usd,
         input_tokens=input_tokens,
         output_tokens=output_tokens,
+        cache_read_input_tokens=cache_read_tokens,
+        cache_creation_input_tokens=cache_creation_tokens,
+        cache_read_msats=int(calc_cache_read_msats),
+        cache_creation_msats=int(calc_cache_write_msats),
     )

routstr/payment/models.py

@@ -4,6 +4,7 @@ import random
 
 import httpx
 from fastapi import APIRouter, Depends
+from pydantic import BaseModel as V2BaseModel
 from pydantic.v1 import BaseModel
 from sqlmodel.ext.asyncio.session import AsyncSession
 
@@ -350,6 +351,9 @@ async def _update_sats_pricing_once() -> None:
     from ..proxy import get_upstreams, refresh_model_maps
 
     upstreams = get_upstreams()
+    if not upstreams:
+        return
+
     sats_to_usd = sats_usd_price()
 
     updated_count = 0
@@ -359,11 +363,14 @@ async def _update_sats_pricing_once() -> None:
             for m in upstream.get_cached_models()
         ]
         upstream._models_cache = updated_models
-        upstream._models_by_id = {m.id: m for m in updated_models}
+        upstream._models_by_id = {m.forwarded_model_id or m.id: m for m in updated_models}
         updated_count += len(updated_models)
 
     if updated_count > 0:
-        logger.info("Updated sats pricing", extra={"models_updated": updated_count})
+        logger.info(
+            f"Updated sats pricing for {updated_count} models",
+            extra={"models_updated": updated_count},
+        )
         await refresh_model_maps()
 
 
@@ -405,7 +412,7 @@ async def update_sats_pricing() -> None:
             logger.error(f"Error updating sats pricing: {e}")
 
 
-class ModelTestRequest(BaseModel):
+class ModelTestRequest(V2BaseModel):
     model_id: str
     endpoint_type: str
     request_data: dict

routstr/proxy.py

@@ -17,6 +17,7 @@ from .core.db import (
     get_session,
 )
 from .core.exceptions import UpstreamError
+from .core.not_found import build_not_found_response
 from .core.settings import settings
 from .payment.helpers import (
     calculate_discounted_max_cost,
@@ -150,16 +151,72 @@ async def refresh_model_maps_periodically() -> None:
             )
 
 
+_API_PATH_PREFIXES = (
+    "v1/",
+    "responses",
+    "chat/",
+    "completions",
+    "models",
+    "embeddings",
+    "audio/",
+    "images/",
+    "moderations",
+    "providers",
+    "tee/",
+)
+
+
 @proxy_router.api_route("/{path:path}", methods=["GET", "POST"], response_model=None)
 async def proxy(
     request: Request, path: str, session: AsyncSession = Depends(get_session)
 ) -> Response | StreamingResponse:
+    # GET requests must hit a known API prefix; otherwise return a 404 (HTML
+    # for browsers, JSON for API clients). POST requests are always forwarded
+    # so that OpenAI-style endpoints work with or without the `v1/` prefix
+    # (e.g. `/chat/completions` as well as `/v1/chat/completions`).
+    if request.method == "GET" and not path.startswith(_API_PATH_PREFIXES):
+        return build_not_found_response(request, path)
+
     headers = dict(request.headers)
 
     is_responses_api = path.startswith("v1/responses") or path.startswith("responses")
     request_body = await request.body()
     request_body_dict = parse_request_body_json(request_body, path)
 
+    # /tee/* GET requests (e.g. attestation) don't map to models — just
+    # forward to all enabled upstreams without model/cost/auth lookups.
+    if request.method == "GET" and path.startswith("tee/"):
+        all_upstreams = _upstreams
+        last_error_response = None
+        for i, upstream in enumerate(all_upstreams):
+            try:
+                headers = upstream.prepare_headers(dict(request.headers))
+                response = await upstream.forward_get_request(request, path, headers)
+                if response.status_code in [502, 429] and i < len(all_upstreams) - 1:
+                    logger.warning(
+                        "Upstream %s returned %s for tee GET %s, trying next",
+                        upstream.provider_type,
+                        response.status_code,
+                        path,
+                    )
+                    continue
+                return response
+            except UpstreamError as e:
+                logger.warning(
+                    "Upstream %s failed for tee GET %s: %s",
+                    upstream.provider_type,
+                    path,
+                    e,
+                )
+                if i == len(all_upstreams) - 1:
+                    last_error_response = create_error_response(
+                        "upstream_error", str(e), 502, request=request
+                    )
+                continue
+        return last_error_response or create_error_response(
+            "upstream_error", "All upstreams failed", 502, request=request
+        )
+
     if is_responses_api:
         model_id = extract_model_from_responses_request(request_body_dict)
     else:
@@ -210,7 +267,15 @@ async def proxy(
                     )
             except UpstreamError as e:
                 logger.warning(
-                    f"Upstream {upstream.provider_type} failed (x-cashu): {e}"
+                    "Upstream %s failed (x-cashu) for model=%s: %s",
+                    upstream.provider_type,
+                    model_id,
+                    e,
+                    extra={
+                        "provider": upstream.provider_type,
+                        "model": model_id,
+                        "status_code": e.status_code,
+                    },
                 )
                 if i == len(upstreams) - 1:
                     last_error = e
@@ -355,10 +420,14 @@ async def proxy(
                     )
 
                     logger.warning(
-                        f"Upstream {upstream.provider_type} returned {response.status_code}, trying next provider",
+                        "Upstream %s returned %s for model=%s, trying next provider",
+                        upstream.provider_type,
+                        response.status_code,
+                        model_id,
                         extra={
                             "status_code": response.status_code,
-                            "upstream": upstream.provider_type,
+                            "provider": upstream.provider_type,
+                            "model": model_id,
                         },
                     )
                     continue
@@ -366,16 +435,20 @@ async def proxy(
                 # 4xx error (user error), or other non-retryable error, or last provider failed
                 await revert_pay_for_request(key, session, max_cost_for_model)
                 logger.warning(
-                    "Upstream request failed, revert payment",
+                    "Upstream request failed, revert payment "
+                    "(provider=%s model=%s status=%s path=%s)",
+                    upstream.provider_type,
+                    model_id,
+                    response.status_code,
+                    path,
                     extra={
                         "status_code": response.status_code,
                         "path": path,
+                        "provider": upstream.provider_type,
+                        "model": model_id,
                         "key_hash": key.hashed_key[:8] + "...",
                         "key_balance": key.balance,
                         "max_cost_for_model": max_cost_for_model,
-                        "upstream_headers": response.headers
-                        if hasattr(response, "headers")
-                        else None,
                     },
                 )
                 return response
@@ -384,8 +457,16 @@ async def proxy(
 
         except UpstreamError as e:
             logger.warning(
-                f"Upstream {upstream.provider_type} failed: {e}",
-                extra={"retry": i < len(upstreams) - 1},
+                "Upstream %s failed for model=%s: %s",
+                upstream.provider_type,
+                model_id,
+                e,
+                extra={
+                    "provider": upstream.provider_type,
+                    "model": model_id,
+                    "status_code": e.status_code,
+                    "retry": i < len(upstreams) - 1,
+                },
             )
 
             # If this was the last provider

routstr/upstream/anthropic.py

@@ -13,6 +13,8 @@ class AnthropicUpstreamProvider(BaseUpstreamProvider):
     provider_type = "anthropic"
     default_base_url = "https://api.anthropic.com/v1"
     platform_url = "https://console.anthropic.com/settings/keys"
+    supports_anthropic_messages = True
+    litellm_provider_prefix = "anthropic/"
 
     def __init__(self, api_key: str, provider_fee: float = 1.01):
         super().__init__(

routstr/upstream/azure.py

@@ -13,6 +13,7 @@ class AzureUpstreamProvider(BaseUpstreamProvider):
     provider_type = "azure"
     default_base_url = None
     platform_url = "https://portal.azure.com/"
+    litellm_provider_prefix = "azure/"
 
     def __init__(
         self,

routstr/upstream/clients/gemini.py

@@ -26,14 +26,14 @@ class GeminiClient(BaseAPIClient):
         max_tokens: int | None = None,
         **kwargs: Any,
     ) -> dict[str, Any]:
-        from openai import NOT_GIVEN
+        from openai import omit
 
         response = await self.client.chat.completions.create(
             model=model,
             messages=messages,  # type: ignore
-            temperature=temperature if temperature is not None else NOT_GIVEN,
-            max_tokens=max_tokens if max_tokens is not None else NOT_GIVEN,
-            top_p=kwargs.get("top_p", NOT_GIVEN),
+            temperature=temperature if temperature is not None else omit,
+            max_tokens=max_tokens if max_tokens is not None else omit,
+            top_p=kwargs.get("top_p", omit),
         )
         return response.model_dump()
 
@@ -45,7 +45,7 @@ class GeminiClient(BaseAPIClient):
         max_tokens: int | None = None,
         **kwargs: Any,
     ) -> AsyncGenerator[dict[str, Any], None]:
-        from openai import NOT_GIVEN
+        from openai import omit
 
         usage_callback = kwargs.get("usage_callback")
         completion_callback = kwargs.get("completion_callback")
@@ -55,9 +55,9 @@ class GeminiClient(BaseAPIClient):
             messages=messages,  # type: ignore
             stream=True,
             stream_options={"include_usage": True},
-            temperature=temperature if temperature is not None else NOT_GIVEN,
-            max_tokens=max_tokens if max_tokens is not None else NOT_GIVEN,
-            top_p=kwargs.get("top_p", NOT_GIVEN),
+            temperature=temperature if temperature is not None else omit,
+            max_tokens=max_tokens if max_tokens is not None else omit,
+            top_p=kwargs.get("top_p", omit),
         )
 
         final_usage = None

routstr/upstream/count_tokens.py

@@ -0,0 +1,108 @@
+"""Local handling of Anthropic ``/v1/messages/count_tokens`` for upstreams
+that do not natively expose the endpoint.
+
+Most non-Anthropic upstreams (OpenAI-compat, Gemini OpenAI-compat,
+OpenRouter chat-completions, generic providers) return 400/404 when asked
+to ``POST /messages/count_tokens``. Claude Code and other Anthropic SDK
+clients call this endpoint before each turn to size context windows and
+trigger compaction, so a failure breaks the whole chat.
+
+We answer locally. ``litellm.token_counter`` understands the Anthropic
+message shape and the per-model tokenizers, so we prefer it. If it raises
+(unknown model, encoding lookup failure, ...), we fall back to the
+project's own ``estimate_tokens`` heuristic, which is always defined and
+never raises.
+"""
+
+from __future__ import annotations
+
+import json
+from typing import Any
+
+import litellm
+from fastapi.responses import Response
+
+from ..core import get_logger
+from ..payment.helpers import estimate_tokens
+from ..payment.models import Model
+
+logger = get_logger(__name__)
+
+
+def _parse_request_body(request_body: bytes | None) -> dict[str, Any]:
+    if not request_body:
+        return {}
+    try:
+        parsed = json.loads(request_body)
+    except (ValueError, TypeError):
+        return {}
+    return parsed if isinstance(parsed, dict) else {}
+
+
+def _count_with_litellm(model: str, body: dict[str, Any]) -> int:
+    messages = body.get("messages")
+    if not isinstance(messages, list):
+        messages = []
+
+    system = body.get("system")
+    if isinstance(system, str) and system:
+        messages = [{"role": "system", "content": system}, *messages]
+    elif isinstance(system, list):
+        text = "".join(
+            block.get("text", "")
+            for block in system
+            if isinstance(block, dict) and block.get("type") == "text"
+        )
+        if text:
+            messages = [{"role": "system", "content": text}, *messages]
+
+    tools = body.get("tools") if isinstance(body.get("tools"), list) else None
+
+    return int(
+        litellm.token_counter(
+            model=model,
+            messages=messages,
+            tools=tools,
+        )
+    )
+
+
+def count_tokens_locally(
+    request_body: bytes | None,
+    model_obj: Model | None,
+) -> Response:
+    """Return an Anthropic-compatible count_tokens response without
+    touching the upstream. Always returns 200; never raises."""
+    body = _parse_request_body(request_body)
+
+    model_name = ""
+    if model_obj is not None:
+        model_name = model_obj.forwarded_model_id or model_obj.id or ""
+    if not model_name:
+        body_model = body.get("model")
+        if isinstance(body_model, str):
+            model_name = body_model
+
+    input_tokens: int
+    try:
+        input_tokens = _count_with_litellm(model_name, body)
+    except Exception as exc:
+        messages = body.get("messages")
+        fallback_messages = messages if isinstance(messages, list) else []
+        input_tokens = estimate_tokens(fallback_messages)
+        logger.debug(
+            "litellm token_counter failed; using local estimator",
+            extra={
+                "model": model_name,
+                "error": str(exc),
+                "error_type": type(exc).__name__,
+                "estimated_tokens": input_tokens,
+            },
+        )
+
+    payload = {"input_tokens": max(0, int(input_tokens))}
+    return Response(
+        content=json.dumps(payload).encode(),
+        status_code=200,
+        media_type="application/json",
+    )

routstr/upstream/fireworks.py

@@ -12,6 +12,7 @@ class FireworksUpstreamProvider(BaseUpstreamProvider):
     provider_type = "fireworks"
     default_base_url = "https://api.fireworks.ai/inference/v1"
     platform_url = "https://app.fireworks.ai/settings/users/api-keys"
+    litellm_provider_prefix = "fireworks_ai/"
 
     def __init__(self, api_key: str, provider_fee: float = 1.01):
         super().__init__(

routstr/upstream/gemini.py

@@ -1,17 +1,13 @@
 from __future__ import annotations
 
-import json
-from collections.abc import AsyncGenerator
 from typing import TYPE_CHECKING, Any
 
-from fastapi import Request
-from fastapi.responses import Response, StreamingResponse
-
+from . import gemini_messages
 from .base import BaseUpstreamProvider
 from .clients.gemini import GeminiClient
 
 if TYPE_CHECKING:
-    from ..core.db import ApiKey, AsyncSession, UpstreamProviderRow
+    from ..core.db import UpstreamProviderRow
     from ..payment.models import Model
 
 from ..core.logging import get_logger
@@ -20,9 +16,19 @@ logger = get_logger(__name__)
 
 
 class GeminiUpstreamProvider(BaseUpstreamProvider):
+    """Gemini provider — proxies through Gemini's OpenAI-compat surface.
+
+    The chat-completions, embeddings, and models paths all flow through
+    :meth:`BaseUpstreamProvider.forward_request`; we only override
+    ``get_request_base_url`` to redirect to ``{base}/openai/...`` and
+    ``_dispatch_anthropic_messages`` to inject thought-signatures on the
+    /v1/messages path (see :mod:`gemini_messages` for that rationale).
+    """
+
     provider_type = "gemini"
     default_base_url = "https://generativelanguage.googleapis.com/v1beta"
     platform_url = "https://aistudio.google.com/app/apikey"
+    litellm_provider_prefix = "gemini/"
 
     def __init__(
         self,
@@ -39,7 +45,7 @@ class GeminiUpstreamProvider(BaseUpstreamProvider):
 
     @property
     def client(self) -> GeminiClient:
-        """Get or create the Gemini API client."""
+        """Get or create the Gemini API client (used for the models listing)."""
         if self._client is None:
             self._client = GeminiClient(api_key=self.api_key)
         return self._client
@@ -65,248 +71,66 @@ class GeminiUpstreamProvider(BaseUpstreamProvider):
         }
 
     def transform_model_name(self, model_id: str) -> str:
-        return model_id.removeprefix("gemini/")
+        """Reduce a routstr model id to the bare upstream Gemini name.
 
-    async def forward_request(
+        Gemini's OpenAI-compat surface expects the literal model id
+        (e.g. ``gemini-3.1-flash-lite-preview``) — no ``gemini/`` provider
+        prefix and no ``google/`` vendor sub-prefix. Take the last path
+        segment so we tolerate any of:
+
+            ``gemini-2.0-flash``
+            ``gemini/gemini-2.0-flash``
+            ``gemini/google/gemini-3.1-flash-lite-preview``
+        """
+        return model_id.rsplit("/", 1)[-1]
+
+    @property
+    def compat_base_url(self) -> str:
+        """Gemini's OpenAI-compat surface, regardless of what's stored.
+
+        Stored ``base_url`` may be ``.../v1beta`` (the native Gemini API
+        root) or ``.../v1beta/openai`` (already pointed at the compat
+        surface). Normalize to the latter.
+        """
+        return self.base_url.rstrip("/").removesuffix("/openai") + "/openai"
+
+    def get_request_base_url(
+        self, path: str, model_obj: "Model | None" = None
+    ) -> str:
+        """Route every proxied request to the OpenAI-compat surface.
+
+        Required because the stored ``base_url`` typically points at the
+        native Gemini API (``/v1beta``), but :meth:`forward_request`
+        forwards OpenAI-shaped paths (``/chat/completions``,
+        ``/embeddings``, ``/models``) which only exist under the
+        ``/openai`` subtree.
+        """
+        return self.compat_base_url
+
+    async def _dispatch_anthropic_messages(
         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:
-        # Remove provider prefix from model ID for Gemini API
-        if "/" in model_obj.id:
-            model_obj.id = model_obj.id.split("/", 1)[1]
+        model_obj: "Model",
+        *,
+        log_extra: dict[str, Any] | None = None,
+    ) -> tuple[bool, Any, str | None]:
+        """Dispatch /v1/messages via the gemini-specific httpx path.
 
-        if not path.startswith("chat/completions"):
-            return await super().forward_request(
-                request,
-                path,
-                headers,
-                request_body,
-                key,
-                max_cost_for_model,
-                session,
-                model_obj,
-            )
-
-        if not request_body:
-            return await super().forward_request(
-                request,
-                path,
-                headers,
-                request_body,
-                key,
-                max_cost_for_model,
-                session,
-                model_obj,
-            )
-
-        try:
-            openai_data = json.loads(request_body)
-            messages = openai_data.get("messages", [])
-            temperature = openai_data.get("temperature")
-            max_tokens = openai_data.get("max_tokens")
-            top_p = openai_data.get("top_p")
-            is_streaming = openai_data.get("stream", False)
-
-            logger.info(
-                "Processing Gemini request with client abstraction",
-                extra={
-                    "model": model_obj.id,
-                    "is_streaming": is_streaming,
-                    "message_count": len(messages),
-                    "key_hash": key.hashed_key[:8] + "...",
-                },
-            )
-
-            if is_streaming:
-                final_usage_data: dict | None = None
-
-                def usage_callback(usage_data: dict[str, Any]) -> None:
-                    """Callback to capture usage data during streaming"""
-                    nonlocal final_usage_data
-                    final_usage_data = usage_data
-
-                async def completion_callback(
-                    model: str, usage_data: dict[str, Any] | None
-                ) -> None:
-                    """Callback to handle payment when streaming completes"""
-                    nonlocal final_usage_data
-                    if usage_data:
-                        final_usage_data = usage_data
-
-                    payment_data = {
-                        "model": model,
-                        "usage": final_usage_data,
-                    }
-
-                    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:
-                                cost_data = await adjust_payment_for_tokens(
-                                    fresh_key,
-                                    payment_data,
-                                    new_session,
-                                    max_cost_for_model,
-                                )
-
-                                logger.info(
-                                    "Gemini streaming payment finalized",
-                                    extra={
-                                        "cost_data": cost_data,
-                                        "usage_data": final_usage_data,
-                                        "key_hash": key.hashed_key[:8] + "...",
-                                    },
-                                )
-                            except Exception as cost_error:
-                                logger.error(
-                                    "Error finalizing Gemini streaming payment",
-                                    extra={
-                                        "error": str(cost_error),
-                                        "key_hash": key.hashed_key[:8] + "...",
-                                    },
-                                )
-
-                response_generator = self.client.generate_content_stream(
-                    model=model_obj.id,
-                    messages=messages,
-                    temperature=temperature,
-                    max_tokens=max_tokens,
-                    top_p=top_p,
-                    usage_callback=usage_callback,
-                    completion_callback=completion_callback,
-                )
-
-                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",
-                            extra={
-                                "error": str(e),
-                                "error_type": type(e).__name__,
-                                "key_hash": key.hashed_key[:8] + "...",
-                            },
-                        )
-                        raise
-                    finally:
-                        if not payment_finalized:
-                            await finalize_payment()
-
-                return StreamingResponse(
-                    stream_with_cost(),
-                    media_type="text/event-stream",
-                    headers={"Cache-Control": "no-cache", "Connection": "keep-alive"},
-                )
-
-            else:
-                openai_format_response = await self.client.generate_content(
-                    model=model_obj.id,
-                    messages=messages,
-                    temperature=temperature,
-                    max_tokens=max_tokens,
-                    top_p=top_p,
-                )
-
-                from ..auth import adjust_payment_for_tokens
-
-                cost_data = await adjust_payment_for_tokens(
-                    key, openai_format_response, session, max_cost_for_model
-                )
-                await session.refresh(key)
-                remaining_balance_msats = key.balance
-                openai_format_response["cost"] = cost_data
-                openai_format_response["cost"]["sats_cost"] = (
-                    cost_data.get("total_msats", 0) // 1000
-                )
-                openai_format_response["cost"]["remaining_balance_msats"] = (
-                    remaining_balance_msats
-                )
-
-                logger.info(
-                    "Gemini non-streaming payment completed",
-                    extra={
-                        "cost_data": cost_data,
-                        "model": model_obj.id,
-                        "key_hash": key.hashed_key[:8] + "...",
-                    },
-                )
-
-                return Response(
-                    content=json.dumps(openai_format_response),
-                    media_type="application/json",
-                    headers={"Cache-Control": "no-cache"},
-                )
-
-        except Exception as e:
-            logger.error(
-                "Error in Gemini forward_request",
-                extra={
-                    "error": str(e),
-                    "error_type": type(e).__name__,
-                    "path": path,
-                    "key_hash": key.hashed_key[:8] + "...",
-                },
-            )
-            return await super().forward_request(
-                request,
-                path,
-                headers,
-                request_body,
-                key,
-                max_cost_for_model,
-                session,
-                model_obj,
-            )
+        See :mod:`routstr.upstream.gemini_messages` for the full rationale
+        (thought-signature injection, why litellm + the openai SDK can't
+        carry the required ``extra_content`` field).
+        """
+        return await gemini_messages.dispatch_gemini_messages(
+            request_body=request_body,
+            model_obj=model_obj,
+            base_url=self.compat_base_url,
+            api_key=self.api_key,
+            transform_model_name=self.transform_model_name,
+            log_extra=log_extra,
+        )
 
     async def _fetch_provider_models(self) -> dict:
-        """Fetch models from Gemini API."""
+        """Fetch models from Gemini API via the OpenAI-compat client."""
         try:
             models_data = await self.client.list_models()
 

routstr/upstream/gemini_messages.py

@@ -0,0 +1,480 @@
+"""Custom /v1/messages dispatcher for Gemini's OpenAI-compat endpoint.
+
+Why this exists
+---------------
+
+Gemini 2.5 / 3 thinking models reject inbound ``functionCall`` parts that
+lack a ``thought_signature`` field once any prior turn in the conversation
+contains a function call. Anthropic-Messages clients (Claude Code etc.)
+have no concept of thought signatures, so multi-turn tool conversations
+fail with::
+
+    Function call is missing a thought_signature in functionCall parts.
+
+Google's published escape hatch (https://ai.google.dev/gemini-api/docs/
+thought-signatures, FAQ #1) is the dummy signature
+``"skip_thought_signature_validator"`` placed at
+``tool_calls[i].extra_content.google.thought_signature`` for every tool
+call in the request. The hatch is documented specifically for
+"transferring a trace from a different model that does not include thought
+signatures" — exactly our case.
+
+Why we can't reach the wire via litellm
+---------------------------------------
+
+``litellm.anthropic.messages.acreate`` flows through the openai SDK, whose
+pydantic ``ChatCompletionMessageToolCall`` model silently drops unknown
+fields like ``extra_content``. Litellm has no openai-compat translator
+that emits ``extra_content.google.thought_signature``. So we bypass both
+litellm and the openai SDK at the transport layer.
+
+Pipeline
+--------
+
+1. Translate Anthropic body → OpenAI body via litellm's
+   ``AnthropicAdapter`` (the same translator
+   ``litellm.anthropic.messages.acreate`` uses internally).
+2. Inject ``extra_content.google.thought_signature`` on every
+   ``tool_calls[]`` entry.
+3. Set ``reasoning_effort="none"`` to disable Gemini's thinking pass.
+4. POST directly to ``{base_url}/chat/completions`` with ``stream=true``
+   via ``httpx`` (preserves arbitrary fields verbatim).
+5. Translate OpenAI streaming chunks → Anthropic SSE events.
+"""
+
+from __future__ import annotations
+
+import json
+import uuid
+from collections.abc import AsyncGenerator, AsyncIterator
+from typing import Any, Callable
+
+import httpx
+
+from ..core import get_logger
+from ..core.exceptions import UpstreamError
+from ..payment.models import Model
+from .messages_dispatch import (
+    ANTHROPIC_ONLY_FIELDS,
+    aggregate_anthropic_events_to_message,
+)
+
+logger = get_logger(__name__)
+
+DUMMY_THOUGHT_SIGNATURE = "skip_thought_signature_validator"
+
+# Mapping: OpenAI finish_reason → Anthropic stop_reason
+_FINISH_TO_STOP = {
+    "stop": "end_turn",
+    "length": "max_tokens",
+    "tool_calls": "tool_use",
+    "function_call": "tool_use",
+    "content_filter": "refusal",
+}
+
+
+def inject_thought_signatures(messages: list[dict]) -> None:
+    """Add ``extra_content.google.thought_signature`` to every tool_call.
+
+    Mutates ``messages`` in place. Idempotent: existing signatures are not
+    overwritten.
+    """
+    for msg in messages:
+        tool_calls = msg.get("tool_calls")
+        if not isinstance(tool_calls, list):
+            continue
+        for tc in tool_calls:
+            if not isinstance(tc, dict):
+                continue
+            extra = tc.get("extra_content")
+            if not isinstance(extra, dict):
+                extra = tc["extra_content"] = {}
+            google_cfg = extra.get("google")
+            if not isinstance(google_cfg, dict):
+                google_cfg = extra["google"] = {}
+            google_cfg.setdefault("thought_signature", DUMMY_THOUGHT_SIGNATURE)
+
+
+def _translate_anthropic_to_openai(body: dict, model: str) -> dict:
+    """Use litellm's translator to convert an Anthropic /messages body to
+    OpenAI /chat/completions kwargs.
+
+    Imported lazily because the litellm internal path is heavy and not
+    needed for any other code path in routstr.
+    """
+    from litellm.llms.anthropic.experimental_pass_through.adapters.transformation import (  # noqa: E501
+        AnthropicAdapter,
+    )
+
+    kwargs = {"model": model, **body}
+    translated = AnthropicAdapter().translate_completion_input_params(kwargs)
+    if translated is None:
+        raise UpstreamError(
+            "Failed to translate Anthropic body to OpenAI format",
+            status_code=500,
+        )
+    return dict(translated)
+
+
+def _sse_event(event_type: str, payload: dict) -> bytes:
+    return f"event: {event_type}\ndata: {json.dumps(payload)}\n\n".encode()
+
+
+async def _openai_chunks_to_anthropic_events(
+    line_iter: AsyncIterator[str], requested_model: str | None
+) -> AsyncGenerator[bytes, None]:
+    """Translate an OpenAI chat-completions SSE byte stream into the
+    Anthropic-Messages SSE event sequence.
+
+    Maintains per-chunk state across:
+
+    * one optional text content block (lazy-opened on first text delta)
+    * any number of tool_use blocks indexed by openai's ``delta.tool_calls[].index``
+    * final ``stop_reason`` / ``usage`` carried out via ``message_delta`` /
+      ``message_stop``
+    """
+    msg_id = f"msg_{uuid.uuid4().hex[:24]}"
+    started = False
+    text_block_idx: int | None = None
+    tool_block_indices: dict[int, int] = {}
+    next_block_idx = 0
+    final_finish_reason: str | None = None
+    final_usage: dict[str, int] = {"input_tokens": 0, "output_tokens": 0}
+
+    def open_text_block() -> bytes:
+        nonlocal text_block_idx, next_block_idx
+        text_block_idx = next_block_idx
+        next_block_idx += 1
+        return _sse_event(
+            "content_block_start",
+            {
+                "type": "content_block_start",
+                "index": text_block_idx,
+                "content_block": {"type": "text", "text": ""},
+            },
+        )
+
+    def open_tool_block(delta_idx: int, tc: dict) -> bytes:
+        nonlocal next_block_idx
+        block_idx = next_block_idx
+        next_block_idx += 1
+        tool_block_indices[delta_idx] = block_idx
+        fn = tc.get("function") or {}
+        return _sse_event(
+            "content_block_start",
+            {
+                "type": "content_block_start",
+                "index": block_idx,
+                "content_block": {
+                    "type": "tool_use",
+                    "id": tc.get("id") or f"toolu_{uuid.uuid4().hex[:24]}",
+                    "name": fn.get("name") or "",
+                    "input": {},
+                },
+            },
+        )
+
+    def close_block(idx: int) -> bytes:
+        return _sse_event(
+            "content_block_stop",
+            {"type": "content_block_stop", "index": idx},
+        )
+
+    async for raw_line in line_iter:
+        line = raw_line.strip()
+        if not line:
+            continue
+        if not line.startswith("data:"):
+            continue
+        payload = line[5:].lstrip()
+        if not payload or payload == "[DONE]":
+            continue
+        try:
+            chunk = json.loads(payload)
+        except json.JSONDecodeError:
+            continue
+        if not isinstance(chunk, dict):
+            continue
+
+        if not started:
+            started = True
+            yield _sse_event(
+                "message_start",
+                {
+                    "type": "message_start",
+                    "message": {
+                        "id": chunk.get("id") or msg_id,
+                        "type": "message",
+                        "role": "assistant",
+                        "model": requested_model or chunk.get("model") or "",
+                        "content": [],
+                        "stop_reason": None,
+                        "stop_sequence": None,
+                        "usage": {
+                            "input_tokens": 0,
+                            "output_tokens": 0,
+                        },
+                    },
+                },
+            )
+
+        usage = chunk.get("usage")
+        if isinstance(usage, dict):
+            in_tok = usage.get("prompt_tokens") or usage.get("input_tokens") or 0
+            out_tok = usage.get("completion_tokens") or usage.get("output_tokens") or 0
+            if in_tok:
+                final_usage["input_tokens"] = int(in_tok)
+            if out_tok:
+                final_usage["output_tokens"] = int(out_tok)
+
+        choices = chunk.get("choices") or []
+        if not choices:
+            continue
+        choice = choices[0] if isinstance(choices[0], dict) else {}
+        delta = choice.get("delta") or {}
+        if not isinstance(delta, dict):
+            delta = {}
+
+        # Text delta
+        text = delta.get("content")
+        if isinstance(text, str) and text:
+            if text_block_idx is None:
+                yield open_text_block()
+            yield _sse_event(
+                "content_block_delta",
+                {
+                    "type": "content_block_delta",
+                    "index": text_block_idx,
+                    "delta": {"type": "text_delta", "text": text},
+                },
+            )
+
+        # Tool call deltas
+        tool_calls_delta = delta.get("tool_calls")
+        if isinstance(tool_calls_delta, list):
+            for tc in tool_calls_delta:
+                if not isinstance(tc, dict):
+                    continue
+                d_idx = int(tc.get("index") or 0)
+                if d_idx not in tool_block_indices:
+                    yield open_tool_block(d_idx, tc)
+                block_idx = tool_block_indices[d_idx]
+                fn = tc.get("function") or {}
+                args = fn.get("arguments")
+                if isinstance(args, str) and args:
+                    yield _sse_event(
+                        "content_block_delta",
+                        {
+                            "type": "content_block_delta",
+                            "index": block_idx,
+                            "delta": {
+                                "type": "input_json_delta",
+                                "partial_json": args,
+                            },
+                        },
+                    )
+
+        finish = choice.get("finish_reason")
+        if finish:
+            final_finish_reason = finish
+
+    # Close any open content blocks
+    if text_block_idx is not None:
+        yield close_block(text_block_idx)
+    for block_idx in tool_block_indices.values():
+        yield close_block(block_idx)
+
+    # message_delta with stop_reason and usage
+    stop_reason = _FINISH_TO_STOP.get(final_finish_reason or "", "end_turn")
+    yield _sse_event(
+        "message_delta",
+        {
+            "type": "message_delta",
+            "delta": {"stop_reason": stop_reason, "stop_sequence": None},
+            "usage": final_usage,
+        },
+    )
+    yield _sse_event("message_stop", {"type": "message_stop"})
+
+
+async def _post_and_stream(
+    base_url: str,
+    api_key: str,
+    payload: dict,
+    log_extra: dict[str, Any] | None,
+) -> tuple[httpx.AsyncClient, httpx.Response]:
+    """POST to upstream chat-completions and return (client, response) for
+    streaming. Caller is responsible for closing both."""
+    url = f"{base_url.rstrip('/')}/chat/completions"
+    client = httpx.AsyncClient(timeout=httpx.Timeout(120.0, read=120.0))
+    try:
+        request = client.build_request(
+            "POST",
+            url,
+            json=payload,
+            headers={
+                "Authorization": f"Bearer {api_key}",
+                "Content-Type": "application/json",
+                "Accept": "text/event-stream",
+            },
+        )
+        response = await client.send(request, stream=True)
+    except Exception as exc:
+        await client.aclose()
+        logger.error(
+            "Gemini messages dispatch HTTP error",
+            extra={"error": str(exc), "url": url, **(log_extra or {})},
+        )
+        raise UpstreamError(
+            f"Failed to reach Gemini upstream: {exc}", status_code=502
+        ) from exc
+
+    if response.status_code >= 400:
+        try:
+            body_bytes = await response.aread()
+        finally:
+            await response.aclose()
+            await client.aclose()
+        body_text = body_bytes.decode("utf-8", errors="replace")
+        logger.error(
+            "Gemini messages dispatch upstream error",
+            extra={
+                "status_code": response.status_code,
+                "body": body_text[:1000],
+                "url": url,
+                **(log_extra or {}),
+            },
+        )
+        raise UpstreamError(
+            f"Upstream error via gemini compat: {body_text}",
+            status_code=response.status_code,
+        )
+
+    return client, response
+
+
+async def dispatch_gemini_messages(
+    *,
+    request_body: bytes | None,
+    model_obj: Model,
+    base_url: str,
+    api_key: str,
+    transform_model_name: Callable[[str], str],
+    log_extra: dict[str, Any] | None = None,
+) -> tuple[bool, Any, str | None]:
+    """Dispatch a /v1/messages request to Gemini's OpenAI-compat endpoint
+    with thought-signature injection.
+
+    Returns ``(client_stream, result, requested_model)`` where ``result``
+    is either an ``AsyncIterator[bytes]`` of Anthropic-format SSE events
+    (for streaming clients) or an Anthropic Message dict (after the caller
+    aggregates).
+    """
+    if not request_body:
+        raise UpstreamError(
+            "Missing request body for /v1/messages", status_code=400
+        )
+
+    try:
+        body: dict = json.loads(request_body)
+    except json.JSONDecodeError as exc:
+        raise UpstreamError(
+            f"Invalid JSON in /v1/messages body: {exc}", status_code=400
+        ) from exc
+
+    body.pop("model", None)
+    client_stream = bool(body.pop("stream", False))
+
+    # Anthropic-Messages-only fields that don't translate to OpenAI
+    # Chat Completions. litellm's translator passes through unknown
+    # top-level fields verbatim and Gemini's compat surface 400s on
+    # unknown names like ``context_management`` / ``output_config``.
+    dropped: dict[str, Any] = {}
+    for field in ANTHROPIC_ONLY_FIELDS:
+        if field in body:
+            dropped[field] = body.pop(field)
+    if dropped:
+        logger.debug(
+            "Dropped anthropic-only fields before gemini compat dispatch",
+            extra={"dropped_keys": sorted(dropped.keys())},
+        )
+
+    requested_model = (
+        (model_obj.forwarded_model_id or model_obj.id) if model_obj else None
+    )
+    upstream_model = transform_model_name(model_obj.id)
+
+    openai_kwargs = _translate_anthropic_to_openai(body, upstream_model)
+
+    messages = openai_kwargs.get("messages") or []
+    if isinstance(messages, list):
+        inject_thought_signatures(messages)
+
+    # Disable Gemini's thinking pass; the dummy signature already lifts
+    # validation, but skipping thinking entirely avoids degraded model
+    # output and keeps tool-calling deterministic.
+    openai_kwargs.setdefault("reasoning_effort", "none")
+    openai_kwargs["stream"] = True
+    openai_kwargs["model"] = upstream_model
+    # OpenAI-compat backends (including Gemini's) only emit a final
+    # ``usage`` chunk when the request opts in via this flag. Without it
+    # the cost-calculation pipeline can't read real token counts and
+    # falls back to MaxCostData billing.
+    existing_stream_options = openai_kwargs.get("stream_options")
+    merged_stream_options = (
+        dict(existing_stream_options)
+        if isinstance(existing_stream_options, dict)
+        else {}
+    )
+    merged_stream_options.setdefault("include_usage", True)
+    openai_kwargs["stream_options"] = merged_stream_options
+
+    logger.info(
+        "Dispatching /v1/messages via gemini compat (httpx)",
+        extra={
+            "model": upstream_model,
+            "client_stream": client_stream,
+            "messages_with_tool_calls": sum(
+                1 for m in messages if isinstance(m, dict) and m.get("tool_calls")
+            ),
+            **(log_extra or {}),
+        },
+    )
+
+    http_client, response = await _post_and_stream(
+        base_url, api_key, openai_kwargs, log_extra
+    )
+
+    async def line_iter() -> AsyncGenerator[str, None]:
+        try:
+            async for line in response.aiter_lines():
+                yield line
+        finally:
+            await response.aclose()
+            await http_client.aclose()
+
+    anthropic_event_iter = _openai_chunks_to_anthropic_events(
+        line_iter(), requested_model
+    )
+
+    if not client_stream:
+        # Aggregate the Anthropic SSE byte stream into a single Message dict
+        # so the rest of the pipeline (cost calc, metadata injection,
+        # response building) can treat it identically to a non-streaming
+        # litellm response.
+        try:
+            aggregated = await aggregate_anthropic_events_to_message(
+                anthropic_event_iter
+            )
+        except Exception as exc:
+            logger.error(
+                "Failed to aggregate Gemini compat events into message",
+                extra={"error": str(exc), **(log_extra or {})},
+            )
+            raise UpstreamError(
+                f"Failed to aggregate upstream stream: {exc}",
+                status_code=502,
+            ) from exc
+        return client_stream, aggregated, requested_model
+
+    return client_stream, anthropic_event_iter, requested_model

routstr/upstream/groq.py

@@ -12,6 +12,7 @@ class GroqUpstreamProvider(BaseUpstreamProvider):
     provider_type = "groq"
     default_base_url = "https://api.groq.com/openai/v1"
     platform_url = "https://console.groq.com/keys"
+    litellm_provider_prefix = "groq/"
 
     def __init__(self, api_key: str, provider_fee: float = 1.01):
         super().__init__(

routstr/upstream/helpers.py

@@ -3,7 +3,7 @@ from __future__ import annotations
 import asyncio
 import os
 import re
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Callable
 
 if TYPE_CHECKING:
     from ..core.settings import Settings
@@ -122,12 +122,16 @@ async def get_all_models_with_overrides(
 
 
 async def refresh_upstreams_models_periodically(
-    upstreams: list[BaseUpstreamProvider],
+    upstreams_provider: (
+        Callable[[], list[BaseUpstreamProvider]] | list[BaseUpstreamProvider]
+    ),
 ) -> None:
     """Background task to periodically refresh models cache for all providers.
 
     Args:
-        upstreams: List of upstream provider instances
+        upstreams_provider: Either a callable returning the live upstream list
+            (preferred — picks up providers added/changed via reinitialize_upstreams),
+            or a static list (legacy, will go stale after reinitialize_upstreams).
     """
     import asyncio
     import random
@@ -139,9 +143,14 @@ async def refresh_upstreams_models_periodically(
         logger.info("Provider models refresh disabled (interval <= 0)")
         return
 
+    def _resolve_upstreams() -> list[BaseUpstreamProvider]:
+        if callable(upstreams_provider):
+            return upstreams_provider()
+        return upstreams_provider
+
     while True:
         try:
-            for upstream in upstreams:
+            for upstream in _resolve_upstreams():
                 try:
                     await upstream.refresh_models_cache()
                 except Exception as e:
@@ -188,13 +197,14 @@ async def init_upstreams() -> list[BaseUpstreamProvider]:
         existing_providers = result.all()
 
         if not existing_providers:
-            logger.info(
-                "No upstream providers found in database, seeding from settings"
-            )
             await _seed_providers_from_settings(session, settings)
             await session.commit()
             result = await session.exec(select(UpstreamProviderRow))
             existing_providers = result.all()
+            if existing_providers:
+                logger.info(
+                    f"Seeded {len(existing_providers)} upstream providers from settings"
+                )
 
         async def _init_single_provider(
             provider_row: UpstreamProviderRow,

routstr/upstream/litellm_routing.py

@@ -0,0 +1,162 @@
+"""Map an upstream `base_url` to the correct litellm provider prefix.
+
+Used by `BaseUpstreamProvider.get_litellm_provider_prefix` so that custom /
+generic provider rows (which inherit the base class default) get routed to
+the right litellm backend instead of falling back to `openai/`.
+
+The table is compiled from litellm 1.74's
+`litellm/litellm_core_utils/get_llm_provider_logic.py` (the
+`openai_compatible_endpoints` table) plus the providers documented at
+https://docs.litellm.ai/docs/providers. Substring match is used so that
+URLs with paths, ports, regional subdomains, etc. all resolve correctly.
+
+Order matters: more specific needles must appear before more generic ones
+(e.g. ``openai.azure.com`` before ``api.openai.com``).
+"""
+
+from __future__ import annotations
+
+import os
+from urllib.parse import urlsplit
+
+import litellm
+
+DEFAULT_PREFIX = "openai/"
+
+LITELLM_HOST_PREFIX_MAP: tuple[tuple[str, str], ...] = (
+    # Azure must win over api.openai.com because the host ends with
+    # `openai.azure.com` and we don't want it picked up as plain OpenAI.
+    ("openai.azure.com", "azure/"),
+    # Google
+    ("generativelanguage.googleapis.com", "gemini/"),
+    ("aiplatform.googleapis.com", "vertex_ai/"),
+    # First-class providers with native litellm prefixes
+    ("api.openai.com", "openai/"),
+    ("api.anthropic.com", "anthropic/"),
+    ("api.groq.com", "groq/"),
+    ("api.fireworks.ai", "fireworks_ai/"),
+    ("api.x.ai", "xai/"),
+    ("api.perplexity.ai", "perplexity/"),
+    ("openrouter.ai", "openrouter/"),
+    ("api.deepseek.com", "deepseek/"),
+    ("api.together.xyz", "together_ai/"),
+    ("codestral.mistral.ai", "codestral/"),
+    ("api.mistral.ai", "mistral/"),
+    ("api.cohere.com", "cohere_chat/"),
+    ("api.cohere.ai", "cohere_chat/"),
+    ("api.deepinfra.com", "deepinfra/"),
+    ("api.endpoints.anyscale.com", "anyscale/"),
+    ("api.cerebras.ai", "cerebras/"),
+    ("inference.baseten.co", "baseten/"),
+    ("api.sambanova.ai", "sambanova/"),
+    ("api.ai21.com", "ai21_chat/"),
+    ("api.friendli.ai", "friendliai/"),
+    ("api.galadriel.com", "galadriel/"),
+    ("api.llama.com", "meta_llama/"),
+    ("api.featherless.ai", "featherless_ai/"),
+    ("inference.api.nscale.com", "nscale/"),
+    ("dashscope-intl.aliyuncs.com", "dashscope/"),
+    ("api.moonshot.ai", "moonshot/"),
+    ("api.moonshot.cn", "moonshot/"),
+    ("api.minimax.io", "minimax/"),
+    ("api.minimaxi.com", "minimax/"),
+    ("platform.publicai.co", "publicai/"),
+    ("api.synthetic.new", "synthetic/"),
+    ("api.stima.tech", "apertis/"),
+    ("nano-gpt.com", "nano-gpt/"),
+    ("api.poe.com", "poe/"),
+    ("llm.chutes.ai", "chutes/"),
+    ("api.v0.dev", "v0/"),
+    ("api.lambda.ai", "lambda_ai/"),
+    ("api.hyperbolic.xyz", "hyperbolic/"),
+    ("ai-gateway.vercel.sh", "vercel_ai_gateway/"),
+    ("api.inference.wandb.ai", "wandb/"),
+    ("integrate.api.nvidia.com", "nvidia_nim/"),
+    ("api.studio.nebius.com", "nebius/"),
+    ("api.novita.ai", "novita/"),
+    ("ark.cn-beijing.volces.com", "volcengine/"),
+    ("api.voyageai.com", "voyage/"),
+    ("api.jina.ai", "jina_ai/"),
+    ("api.aimlapi.com", "aiml/"),
+    ("api.snowflakecomputing.com", "snowflake/"),
+    ("databricks.com", "databricks/"),
+    ("huggingface.co", "huggingface/"),
+)
+
+# Substrings that indicate an Ollama deployment regardless of port/scheme.
+OLLAMA_HOST_HINTS: tuple[str, ...] = (
+    "localhost:11434",
+    "127.0.0.1:11434",
+    "ollama",
+)
+
+
+def detect_litellm_prefix(
+    base_url: str | None, default: str = DEFAULT_PREFIX
+) -> str:
+    """Return the litellm provider prefix (`"<provider>/"`) for `base_url`.
+
+    Falls back to `default` when the host doesn't match any known provider.
+    The default is `openai/` because every unmatched OpenAI-compatible
+    server is, by definition, an OpenAI-compatible server.
+    """
+    if not base_url:
+        return default
+
+    parsed = urlsplit(base_url)
+    host = parsed.netloc.lower() or base_url.lower()
+
+    for needle, prefix in LITELLM_HOST_PREFIX_MAP:
+        if needle in host:
+            return prefix
+
+    if any(hint in host for hint in OLLAMA_HOST_HINTS):
+        return "ollama_chat/"
+
+    return default
+
+
+_configured = False
+
+
+def configure_litellm() -> None:
+    """Apply litellm global settings used by the messages-dispatch path.
+
+    Idempotent: safe to call from both app startup and module-level
+    initializers without side effects on the second invocation.
+
+    Settings applied:
+
+    * ``LITELLM_DEBUG=1`` enables litellm's verbose debug logger.
+    * Forces the Anthropic-messages adapter to call OpenAI Chat Completions
+      (POST ``/chat/completions``) instead of the Responses API (POST
+      ``/responses``) for ``openai/``-prefixed providers. OpenAI-compatible
+      upstreams like Google's generativelanguage compat endpoint expose
+      ``/chat/completions`` but not ``/responses``, which would 404. Set
+      ``LITELLM_USE_RESPONSES_API_FOR_ANTHROPIC_MESSAGES=1`` to opt out.
+    * Silently drops Anthropic-Messages-only parameters (``thinking``,
+      ``cache_control``, ``context_management``, ...) when translating to
+      providers that don't accept them, instead of raising
+      ``UnsupportedParamsError``. Set ``LITELLM_STRICT_PARAMS=1`` to opt
+      out.
+    """
+    global _configured
+    if _configured:
+        return
+
+    if os.getenv("LITELLM_DEBUG") == "1":
+        try:
+            litellm._turn_on_debug()  # type: ignore[no-untyped-call]
+        except Exception:
+            pass
+
+    if os.getenv("LITELLM_USE_RESPONSES_API_FOR_ANTHROPIC_MESSAGES") != "1":
+        try:
+            litellm.use_chat_completions_url_for_anthropic_messages = True
+        except Exception:
+            pass
+
+    if os.getenv("LITELLM_STRICT_PARAMS") != "1":
+        litellm.drop_params = True
+
+    _configured = True

routstr/upstream/messages_dispatch.py

@@ -0,0 +1,561 @@
+"""Pure helpers for translating ``/v1/messages`` to upstream chat completions
+via litellm.
+
+This module owns the litellm/Anthropic-Messages translation layer:
+
+* SSE parsing (``parse_sse_blocks``, ``events_from_chunk``)
+* Payload coercion (``coerce_litellm_payload``)
+* Stream aggregation (``aggregate_anthropic_events_to_message``) — drains
+  a streamed Anthropic event sequence into a single Message dict
+* Per-event annotation for streaming (``annotate_event``,
+  ``stream_annotated_events``) — handles the model-rewrite + token-tally
+  bookkeeping shared by the bearer-key and x-cashu streaming paths
+* The dispatch entry point (``dispatch_anthropic_messages``)
+* Refund math (``compute_refund``)
+
+Nothing in here touches ``BaseUpstreamProvider``; the thin instance methods
+on the provider class forward to these functions and only retain logic that
+genuinely needs ``self`` (cost adjustment, metadata injection, refund
+sending).
+"""
+
+from __future__ import annotations
+
+import json
+from collections.abc import AsyncGenerator, AsyncIterator
+from typing import Any, Callable, NamedTuple, cast
+
+import litellm
+
+from ..core import get_logger
+from ..core.exceptions import UpstreamError
+from ..payment.models import Model
+
+logger = get_logger(__name__)
+
+# Anthropic-Messages-only fields that don't translate to OpenAI
+# Chat Completions. ``litellm.drop_params`` only filters *known*
+# unsupported params; these newer/extension fields get passed through
+# verbatim and the upstream rejects them with a 400. Pop them here so the
+# request reaches the upstream cleanly.
+ANTHROPIC_ONLY_FIELDS: tuple[str, ...] = (
+    "thinking",
+    "cache_control",
+    "context_management",
+    "output_config",
+    "mcp_servers",
+    "service_tier",
+    "anthropic_version",
+    "anthropic_beta",
+)
+
+
+def coerce_litellm_payload(payload: object) -> dict:
+    """Convert a litellm event into a plain dict.
+
+    Non-streaming responses come back as Anthropic-shaped pydantic models
+    or dicts. Streaming may yield raw bytes/str (SSE-encoded); those go
+    through ``events_from_chunk`` instead, not here.
+    """
+    if isinstance(payload, dict):
+        return dict(payload)
+    if hasattr(payload, "model_dump"):
+        return cast(dict, payload.model_dump())
+    raise TypeError(f"Cannot coerce {type(payload).__name__} to dict")
+
+
+def parse_sse_blocks(buffer: bytes) -> tuple[list[dict], bytes]:
+    """Parse complete SSE event blocks out of a byte buffer.
+
+    Returns (events, remaining_buffer). Events are JSON objects parsed from
+    one or more ``data:`` lines per block. Comments, blank lines, and
+    ``[DONE]`` sentinels are ignored. A trailing partial block is preserved
+    in remaining_buffer.
+    """
+    events: list[dict] = []
+    while True:
+        sep = buffer.find(b"\n\n")
+        if sep < 0:
+            sep_rn = buffer.find(b"\r\n\r\n")
+            if sep_rn < 0:
+                break
+            block = buffer[:sep_rn]
+            buffer = buffer[sep_rn + 4 :]
+        else:
+            block = buffer[:sep]
+            buffer = buffer[sep + 2 :]
+
+        data_lines: list[str] = []
+        for raw_line in block.replace(b"\r\n", b"\n").split(b"\n"):
+            line = raw_line.decode("utf-8", errors="replace")
+            if line.startswith(":"):
+                continue
+            if line.startswith("data:"):
+                data_lines.append(line[5:].lstrip())
+        if not data_lines:
+            continue
+        payload = "\n".join(data_lines).strip()
+        if not payload or payload == "[DONE]":
+            continue
+        try:
+            obj = json.loads(payload)
+        except json.JSONDecodeError:
+            continue
+        if isinstance(obj, dict):
+            events.append(obj)
+    return events, buffer
+
+
+def events_from_chunk(
+    chunk: object, sse_buffer: bytes
+) -> tuple[list[dict], bytes]:
+    """Normalize a stream chunk into one or more event dicts.
+
+    ``litellm.anthropic.messages.acreate(stream=True)`` yields raw SSE
+    bytes in practice; some adapters yield strings or typed events. Handle
+    all three.
+    """
+    if isinstance(chunk, (bytes, bytearray)):
+        sse_buffer += bytes(chunk)
+        events, sse_buffer = parse_sse_blocks(sse_buffer)
+        return events, sse_buffer
+    if isinstance(chunk, str):
+        sse_buffer += chunk.encode("utf-8")
+        events, sse_buffer = parse_sse_blocks(sse_buffer)
+        return events, sse_buffer
+    return [coerce_litellm_payload(chunk)], sse_buffer
+
+
+async def aggregate_anthropic_events_to_message(
+    iterator: AsyncIterator[Any],
+) -> dict:
+    """Drain an Anthropic-Messages event iterator into a single Message dict.
+
+    Produces the shape ``litellm.anthropic.messages.acreate(stream=False)``
+    would have returned. Used to transparently stream from upstream while
+    still returning a non-streaming response to the client. Lets us
+    sidestep upstream quirks (e.g. Fireworks rejects ``max_tokens > 4096``
+    unless ``stream=true``) without leaking that into client-visible
+    behavior.
+    """
+    sse_buffer = b""
+    message: dict = {}
+    blocks: list[dict] = []
+    partial_json: dict[int, str] = {}
+    final_stop_reason: str | None = None
+    final_stop_sequence: str | None = None
+    final_usage: dict[str, Any] = {}
+    final_model: str | None = None
+
+    async for chunk in iterator:
+        events, sse_buffer = events_from_chunk(chunk, sse_buffer)
+        for event in events:
+            etype = event.get("type")
+            if etype == "message_start":
+                raw = event.get("message") or {}
+                if isinstance(raw, dict):
+                    message = dict(raw)
+                    existing = message.get("content")
+                    blocks = list(existing) if isinstance(existing, list) else []
+                    usage = message.get("usage")
+                    if isinstance(usage, dict):
+                        final_usage = dict(usage)
+                    if isinstance(message.get("model"), str):
+                        final_model = message["model"]
+            elif etype == "content_block_start":
+                idx = int(event.get("index") or 0)
+                cb = event.get("content_block") or {}
+                cb_dict = dict(cb) if isinstance(cb, dict) else {}
+                while len(blocks) <= idx:
+                    blocks.append({})
+                blocks[idx] = cb_dict
+            elif etype == "content_block_delta":
+                idx = int(event.get("index") or 0)
+                if idx >= len(blocks):
+                    continue
+                delta = event.get("delta") or {}
+                if not isinstance(delta, dict):
+                    continue
+                dtype = delta.get("type")
+                block = blocks[idx]
+                if dtype == "text_delta":
+                    block["text"] = (block.get("text") or "") + (
+                        delta.get("text") or ""
+                    )
+                elif dtype == "input_json_delta":
+                    partial_json[idx] = partial_json.get(idx, "") + (
+                        delta.get("partial_json") or ""
+                    )
+                elif dtype == "thinking_delta":
+                    block["thinking"] = (block.get("thinking") or "") + (
+                        delta.get("thinking") or ""
+                    )
+                elif dtype == "signature_delta":
+                    block["signature"] = (block.get("signature") or "") + (
+                        delta.get("signature") or ""
+                    )
+            elif etype == "content_block_stop":
+                idx = int(event.get("index") or 0)
+                raw_json = partial_json.pop(idx, None)
+                if raw_json is not None and idx < len(blocks):
+                    try:
+                        blocks[idx]["input"] = (
+                            json.loads(raw_json) if raw_json else {}
+                        )
+                    except json.JSONDecodeError:
+                        blocks[idx]["input"] = raw_json
+            elif etype == "message_delta":
+                delta = event.get("delta") or {}
+                if isinstance(delta, dict):
+                    if "stop_reason" in delta:
+                        final_stop_reason = delta.get("stop_reason")
+                    if "stop_sequence" in delta:
+                        final_stop_sequence = delta.get("stop_sequence")
+                usage = event.get("usage")
+                if isinstance(usage, dict):
+                    final_usage.update(usage)
+            # message_stop: nothing to merge
+
+    if not message:
+        # Upstream returned no message_start; expose what we can so the
+        # client at least sees the assembled content.
+        message = {
+            "id": "",
+            "type": "message",
+            "role": "assistant",
+            "content": [],
+        }
+
+    message["content"] = blocks
+    if final_model and not message.get("model"):
+        message["model"] = final_model
+    if final_stop_reason is not None:
+        message["stop_reason"] = final_stop_reason
+    if final_stop_sequence is not None:
+        message["stop_sequence"] = final_stop_sequence
+    if final_usage:
+        existing_usage = message.get("usage")
+        merged = dict(existing_usage) if isinstance(existing_usage, dict) else {}
+        merged.update(final_usage)
+        message["usage"] = merged
+    return message
+
+
+class AnnotatedEvent(NamedTuple):
+    """One Anthropic SSE event after model-rewrite + token-tally bookkeeping.
+
+    ``sse_bytes`` is the wire-ready ``event:`` / ``data:`` block; the two
+    streaming paths in ``BaseUpstreamProvider`` consume ``sse_bytes`` plus
+    the tallies and only differ in whether they stream live or buffer
+    first.
+
+    ``cache_read_input_tokens`` and ``cache_creation_input_tokens`` are
+    surfaced separately so the cost path can price them against the cache
+    rate rather than fold them silently into the regular input bucket.
+
+    ``total_cost`` / ``input_cost`` / ``output_cost`` carry any
+    USD cost figures the upstream attached to this event (from
+    ``usage.cost``, ``usage.total_cost``, or ``usage.cost_details``) so the
+    streaming paths can re-embed them in the rebuilt ``usage`` dict and let
+    ``calculate_cost`` convert directly USD→sats instead of falling back to
+    token-based math.
+    """
+
+    event: dict
+    sse_bytes: bytes
+    input_tokens: int
+    output_tokens: int
+    cache_read_input_tokens: int
+    cache_creation_input_tokens: int
+    total_cost: float
+    input_cost: float
+    output_cost: float
+    model: str | None
+
+
+def annotate_event(event: dict, requested_model: str | None) -> AnnotatedEvent:
+    """Rewrite ``model`` fields and extract per-event token / model info.
+
+    Mutates ``event`` in place when ``requested_model`` is set so the
+    upstream's true model name doesn't leak to the client.
+    """
+    if requested_model:
+        msg = event.get("message")
+        if isinstance(msg, dict) and "model" in msg:
+            msg["model"] = requested_model
+        if "model" in event:
+            event["model"] = requested_model
+
+    in_tokens = 0
+    out_tokens = 0
+    cache_read_tokens = 0
+    cache_create_tokens = 0
+    total_cost = 0.0
+    input_cost = 0.0
+    output_cost = 0.0
+    model: str | None = None
+
+    def _coerce_float(value: object) -> float:
+        if value is None or isinstance(value, bool):
+            return 0.0
+        if not isinstance(value, (int, float, str)):
+            return 0.0
+        try:
+            return max(0.0, float(value))
+        except (TypeError, ValueError):
+            return 0.0
+
+    def _accumulate(usage: dict) -> None:
+        nonlocal in_tokens, out_tokens, cache_read_tokens, cache_create_tokens
+        nonlocal total_cost, input_cost, output_cost
+        in_tokens += int(usage.get("input_tokens") or 0)
+        out_tokens += int(usage.get("output_tokens") or 0)
+        cache_read_tokens += int(usage.get("cache_read_input_tokens") or 0)
+        cache_create_tokens += int(usage.get("cache_creation_input_tokens") or 0)
+        total_cost += _coerce_float(usage.get("total_cost"))
+        input_cost += _coerce_float(usage.get("input_cost"))
+        output_cost += _coerce_float(usage.get("output_cost"))
+
+    msg_for_meta = event.get("message")
+    if isinstance(msg_for_meta, dict):
+        if msg_for_meta.get("model"):
+            model = str(msg_for_meta["model"])
+        usage = msg_for_meta.get("usage")
+        if isinstance(usage, dict):
+            _accumulate(usage)
+
+    if isinstance(event.get("usage"), dict):
+        _accumulate(event["usage"])
+
+    # Some upstreams (notably OpenRouter-style proxies) attach cost fields
+    # directly at the event root rather than inside ``usage``.
+    for field in ("total_cost", "cost"):
+        total_cost = max(total_cost, _coerce_float(event.get(field)))
+    input_cost = max(input_cost, _coerce_float(event.get("input_cost")))
+    output_cost = max(output_cost, _coerce_float(event.get("output_cost")))
+    root_cost_details = event.get("cost_details")
+    if isinstance(root_cost_details, dict):
+        total_cost = max(
+            total_cost,
+            _coerce_float(root_cost_details.get("total_cost")),
+        )
+        input_cost = max(
+            input_cost,
+            _coerce_float(root_cost_details.get("input_cost")),
+        )
+        output_cost = max(
+            output_cost,
+            _coerce_float(root_cost_details.get("output_cost")),
+        )
+
+    event_type = str(event.get("type") or "")
+    payload = json.dumps(event)
+    if event_type:
+        sse_bytes = f"event: {event_type}\ndata: {payload}\n\n".encode()
+    else:
+        sse_bytes = f"data: {payload}\n\n".encode()
+
+    return AnnotatedEvent(
+        event,
+        sse_bytes,
+        in_tokens,
+        out_tokens,
+        cache_read_tokens,
+        cache_create_tokens,
+        total_cost,
+        input_cost,
+        output_cost,
+        model,
+    )
+
+
+async def stream_annotated_events(
+    iterator: AsyncIterator[Any],
+    requested_model: str | None,
+) -> AsyncGenerator[AnnotatedEvent, None]:
+    """Yield annotated, SSE-serialized events from a litellm stream.
+
+    Both streaming paths in ``BaseUpstreamProvider`` consume this; the only
+    divergence between them — yield-as-you-go vs buffer-then-replay — stays
+    in the caller.
+    """
+    sse_buffer = b""
+    async for chunk in iterator:
+        events, sse_buffer = events_from_chunk(chunk, sse_buffer)
+        for event in events:
+            yield annotate_event(event, requested_model)
+
+
+def embed_usd_costs(
+    usage: dict,
+    total_cost: float,
+    input_cost: float,
+    output_cost: float,
+) -> None:
+    """Mutate ``usage`` so ``calculate_cost`` will pick up the USD totals.
+
+    Mirrors the upstream shape: when any USD figure is present, attach
+    ``cost`` (used by the simple-fallback branch in ``calculate_cost``) and
+    a ``cost_details`` block (used by the preferred branch — also gives the
+    input/output USD split when we have one).
+    """
+    if total_cost <= 0 and input_cost <= 0 and output_cost <= 0:
+        return
+
+    cost_details: dict[str, float] = {}
+    effective_total = total_cost
+    if effective_total <= 0 and (input_cost > 0 or output_cost > 0):
+        effective_total = input_cost + output_cost
+
+    if effective_total > 0:
+        cost_details["total_cost"] = effective_total
+        usage["cost"] = effective_total
+    if input_cost > 0:
+        cost_details["input_cost"] = input_cost
+    if output_cost > 0:
+        cost_details["output_cost"] = output_cost
+    if cost_details:
+        usage["cost_details"] = cost_details
+
+
+def compute_refund(amount: int, unit: str, cost_msats: int) -> int:
+    if unit == "msat":
+        return amount - cost_msats
+    if unit == "sat":
+        return amount - (cost_msats + 999) // 1000
+    raise ValueError(f"Invalid unit: {unit}")
+
+
+async def dispatch_anthropic_messages(
+    *,
+    request_body: bytes | None,
+    model_obj: Model,
+    base_url: str,
+    api_key: str,
+    provider_prefix: str,
+    transform_model_name: Callable[[str], str],
+    log_extra: dict[str, Any] | None = None,
+) -> tuple[bool, Any, str | None]:
+    """Call ``litellm.anthropic.messages.acreate`` and return
+    ``(client_stream, result, requested_model)``.
+
+    Shared by the bearer-key and x-cashu paths. Raises :class:`UpstreamError`
+    on bad input or upstream failure.
+    """
+    if not request_body:
+        raise UpstreamError(
+            "Missing request body for /v1/messages", status_code=400
+        )
+
+    try:
+        body: dict = json.loads(request_body)
+    except json.JSONDecodeError as exc:
+        raise UpstreamError(
+            f"Invalid JSON in /v1/messages body: {exc}", status_code=400
+        ) from exc
+
+    body.pop("model", None)
+    # `stream` here is what the **client** asked for. Upstream is always
+    # streamed (see `upstream_stream` below); when the client asked for a
+    # non-streaming response we drain and aggregate the events into a
+    # single Anthropic Message dict before returning. This sidesteps
+    # provider-specific non-streaming caps (e.g. Fireworks rejects
+    # `max_tokens > 4096` unless `stream=true`).
+    client_stream = bool(body.pop("stream", False))
+    upstream_stream = True
+
+    dropped: dict[str, Any] = {}
+    for field in ANTHROPIC_ONLY_FIELDS:
+        if field in body:
+            dropped[field] = body.pop(field)
+    if dropped:
+        logger.debug(
+            "Dropped anthropic-only fields before litellm dispatch",
+            extra={"dropped_keys": sorted(dropped.keys())},
+        )
+
+    # Convention: `model.id` is the canonical upstream model name;
+    # `forwarded_model_id` is the public alias the internal API exposes
+    # and echoes back to the client.
+    requested_model = (
+        (model_obj.forwarded_model_id or model_obj.id) if model_obj else None
+    )
+    upstream_model = transform_model_name(model_obj.id)
+    litellm_model = f"{provider_prefix}{upstream_model}"
+
+    kwargs: dict = {
+        "model": litellm_model,
+        "api_base": base_url,
+        "api_key": api_key,
+        "stream": upstream_stream,
+        **body,
+    }
+
+    logger.info(
+        "Dispatching /v1/messages via litellm",
+        extra={
+            "model": litellm_model,
+            "resolved_provider": provider_prefix.rstrip("/"),
+            "client_stream": client_stream,
+            "upstream_stream": upstream_stream,
+            **(log_extra or {}),
+        },
+    )
+
+    try:
+        result = await litellm.anthropic.messages.acreate(**kwargs)
+    except Exception as exc:
+        exc_message = getattr(exc, "message", None) or str(exc) or repr(exc)
+        exc_status = getattr(exc, "status_code", None)
+        exc_response = getattr(exc, "response", None)
+        response_text = None
+        if exc_response is not None:
+            try:
+                response_text = getattr(exc_response, "text", str(exc_response))
+            except Exception:
+                response_text = "<unreadable>"
+        logger.error(
+            "litellm dispatch failed",
+            extra={
+                "error": exc_message,
+                "error_type": type(exc).__name__,
+                "status_code": exc_status,
+                "llm_provider": getattr(exc, "llm_provider", None),
+                "body": getattr(exc, "body", None),
+                "response_text": response_text,
+                "model": litellm_model,
+                "api_base": base_url,
+            },
+        )
+        raise UpstreamError(
+            f"Upstream error via litellm: {exc_message}",
+            status_code=exc_status if isinstance(exc_status, int) else 502,
+        ) from exc
+
+    if not client_stream and hasattr(result, "__aiter__"):
+        # Client asked for a non-streaming response but we always stream
+        # from upstream — drain the events into a single Anthropic Message
+        # dict so the rest of the pipeline can treat it as if upstream had
+        # returned non-streaming. Some litellm adapters return a
+        # non-streaming dict even when ``stream=True``; in that case,
+        # leave the result as-is.
+        try:
+            aggregated: Any = await aggregate_anthropic_events_to_message(
+                cast(AsyncIterator[Any], result)
+            )
+        except Exception as exc:
+            logger.error(
+                "Failed to aggregate streamed events into message",
+                extra={
+                    "error": str(exc),
+                    "error_type": type(exc).__name__,
+                    "model": litellm_model,
+                },
+            )
+            raise UpstreamError(
+                f"Failed to aggregate upstream stream: {exc}",
+                status_code=502,
+            ) from exc
+        return client_stream, aggregated, requested_model
+
+    return client_stream, result, requested_model

routstr/upstream/ollama.py

@@ -21,6 +21,7 @@ class OllamaUpstreamProvider(BaseUpstreamProvider):
     provider_type = "ollama"
     default_base_url = "http://localhost:11434"
     platform_url = None
+    litellm_provider_prefix = "ollama_chat/"
 
     def __init__(
         self,
@@ -184,7 +185,7 @@ class OllamaUpstreamProvider(BaseUpstreamProvider):
             except Exception:
                 self._models_cache = models_with_fees
 
-            self._models_by_id = {m.id: m for m in self._models_cache}
+            self._models_by_id = {m.forwarded_model_id or m.id: m for m in self._models_cache}
             logger.info(
                 f"Refreshed models cache for {self.base_url}",
                 extra={"model_count": len(models)},

routstr/upstream/openrouter.py

@@ -15,6 +15,8 @@ class OpenRouterUpstreamProvider(BaseUpstreamProvider):
     provider_type = "openrouter"
     default_base_url = "https://openrouter.ai/api/v1"
     platform_url = "https://openrouter.ai/settings/keys"
+    supports_anthropic_messages = True
+    litellm_provider_prefix = "openrouter/"
 
     def __init__(self, api_key: str, provider_fee: float = 1.06):
         """Initialize OpenRouter provider with API key.

routstr/upstream/perplexity.py

@@ -13,6 +13,7 @@ class PerplexityUpstreamProvider(BaseUpstreamProvider):
     provider_type = "perplexity"
     default_base_url = "https://api.perplexity.ai/"
     platform_url = "https://www.perplexity.ai/account/api/keys"
+    litellm_provider_prefix = "perplexity/"
 
     def __init__(self, api_key: str, provider_fee: float = 1.01):
         super().__init__(

routstr/upstream/ppqai.py

@@ -3,7 +3,7 @@ from __future__ import annotations
 from typing import TYPE_CHECKING, Optional
 
 import httpx
-from pydantic import BaseModel, Field
+from pydantic.v1 import BaseModel, Field
 
 from ..core.logging import get_logger
 from ..payment.models import Architecture, Model, Pricing, async_fetch_openrouter_models

routstr/upstream/routstr.py

@@ -18,6 +18,10 @@ class RoutstrUpstreamProvider(BaseUpstreamProvider):
     provider_type = "routstr"
     default_base_url = None
     platform_url = None
+    # Upstream Routstr nodes serve `/v1/messages` natively, so forward the
+    # request as-is instead of round-tripping through litellm's
+    # Anthropic→OpenAI translator.
+    supports_anthropic_messages = True
 
     def __init__(
         self,
@@ -43,6 +47,13 @@ class RoutstrUpstreamProvider(BaseUpstreamProvider):
         )
         self.settings = provider_settings or {}
 
+    def normalize_request_path(
+        self, path: str, model_obj: "Model | None" = None
+    ) -> str:
+        """Preserve the ``v1/`` prefix when forwarding to an upstream Routstr.
+        """
+        return path.lstrip("/")
+
     @classmethod
     def from_db_row(
         cls, provider_row: "UpstreamProviderRow"

routstr/upstream/xai.py

@@ -13,6 +13,7 @@ class XAIUpstreamProvider(BaseUpstreamProvider):
     provider_type = "x-ai"
     default_base_url = "https://api.x.ai/v1"
     platform_url = "https://console.x.ai/"
+    litellm_provider_prefix = "xai/"
 
     def __init__(self, api_key: str, provider_fee: float = 1.01):
         super().__init__(

routstr/wallet.py

@@ -1,10 +1,13 @@
 import asyncio
 import time
+import typing
 from typing import TypedDict
 
 from cashu.core.base import Proof, Token
+from cashu.core.mint_info import MintInfo as _CashuMintInfo
 from cashu.wallet.helpers import deserialize_token_from_string
 from cashu.wallet.wallet import Wallet
+from pydantic_core import PydanticUndefined
 from sqlmodel import col, select, update
 
 from .core import db, get_logger
@@ -12,6 +15,18 @@ from .core.db import store_cashu_transaction
 from .core.settings import settings
 from .payment.lnurl import raw_send_to_lnurl
 
+# cashu still declares Optional[X] without explicit defaults on MintInfo.
+# Under pydantic v2 those are required, but real mints omit many of them.
+# Default Optional fields to None at import time so balance fetches don't 422.
+for _name, _field in _CashuMintInfo.model_fields.items():
+    _annot = _field.annotation
+    _is_optional = typing.get_origin(_annot) is typing.Union and type(
+        None
+    ) in typing.get_args(_annot)
+    if _is_optional and _field.default is PydanticUndefined:
+        _field.default = None
+_CashuMintInfo.model_rebuild(force=True)
+
 logger = get_logger(__name__)
 
 
@@ -33,6 +48,8 @@ async def recieve_token(
     if token_obj.mint not in settings.cashu_mints:
         return await swap_to_primary_mint(token_obj, wallet)
 
+    await wallet.load_mint(keyset_id=token_obj.keysets[0])
+
     wallet.verify_proofs_dleq(token_obj.proofs)
     await wallet.split(proofs=token_obj.proofs, amount=0, include_fees=True)
 
@@ -41,17 +58,56 @@ async def recieve_token(
 
 async def send(amount: int, unit: str, mint_url: str | None = None) -> tuple[int, str]:
     """Internal send function - returns amount and serialized token"""
-    wallet: Wallet = await get_wallet(mint_url or settings.primary_mint, unit)
-    proofs = get_proofs_per_mint_and_unit(
-        wallet, mint_url or settings.primary_mint, unit
+    effective_mint_url = mint_url or settings.primary_mint
+    wallet: Wallet = await get_wallet(effective_mint_url, unit)
+    proofs = get_proofs_per_mint_and_unit(wallet, effective_mint_url, unit)
+    proofs_for_mint = sum(p.amount for p in proofs)
+
+    # Fallback: proofs from untrusted source mints are swapped to primary_mint
+    # during receive, so the user's preferred refund_mint_url may have no proofs
+    # even though the global wallet has the balance.
+    if proofs_for_mint < amount and effective_mint_url != settings.primary_mint:
+        logger.info(
+            f"send: insufficient proofs at {effective_mint_url} "
+            f"(have {proofs_for_mint}, need {amount}), falling back to primary_mint={settings.primary_mint}"
+        )
+        effective_mint_url = settings.primary_mint
+        wallet = await get_wallet(effective_mint_url, unit)
+        proofs = get_proofs_per_mint_and_unit(wallet, effective_mint_url, unit)
+        proofs_for_mint = sum(p.amount for p in proofs)
+
+    all_mint_urls = list({k.mint_url for k in wallet.keysets.values()})
+    proof_summary = {
+        f"{k.mint_url}/{k.unit.name}": sum(p.amount for p in wallet.proofs if p.id == k.id)
+        for k in wallet.keysets.values()
+    }
+    # Show ALL proofs in DB by keyset_id, regardless of whether the loaded wallet
+    # knows about that keyset. This reveals proofs orphaned under stale keysets.
+    raw_proofs_by_keyset: dict[str, int] = {}
+    for p in wallet.proofs:
+        raw_proofs_by_keyset[p.id] = raw_proofs_by_keyset.get(p.id, 0) + p.amount
+    logger.info(
+        f"send: proof inventory | mint={effective_mint_url} unit={unit} amount={amount} "
+        f"primary_mint={settings.primary_mint} proofs_for_mint={proofs_for_mint} "
+        f"all_mints={all_mint_urls} by_keyset={proof_summary} "
+        f"raw_proofs_by_keyset_id={raw_proofs_by_keyset} "
+        f"total_wallet_proofs={sum(p.amount for p in wallet.proofs)}"
     )
 
+    # Reserve proofs only after serialization succeeds — if serialize_proofs or
+    # swap_to_send fails mid-way, proofs stay unreserved so dashboard balance
+    # doesn't go negative.
     send_proofs, _ = await wallet.select_to_send(
-        proofs, amount, set_reserved=True, include_fees=False
-    )
-    token = await wallet.serialize_proofs(
-        send_proofs, include_dleq=False, legacy=False, memo=None
+        proofs, amount, set_reserved=False, include_fees=False
     )
+    try:
+        token = await wallet.serialize_proofs(
+            send_proofs, include_dleq=False, legacy=False, memo=None
+        )
+    except Exception:
+        await wallet.set_reserved_for_send(send_proofs, reserved=False)
+        raise
+    await wallet.set_reserved_for_send(send_proofs, reserved=True)
     return amount, token
 
 
@@ -66,10 +122,11 @@ async def _calculate_swap_amount(
     token_mint_url: str,
     token_wallet: Wallet,
     primary_wallet: Wallet,
+    proofs: list,
 ) -> int:
     """
     Calculate the amount to mint on the primary mint after accounting for
-    potential swap fees (melt fees) on the foreign mint.
+    melt fees and NUT-02 input fees on the foreign mint.
     """
     if settings.primary_mint_unit == "sat":
         receive_amount = amount_msat // 1000
@@ -96,10 +153,11 @@ async def _calculate_swap_amount(
         dummy_melt_quote = await token_wallet.melt_quote(dummy_mint_quote.request)
 
         fee_reserve = dummy_melt_quote.fee_reserve
+        input_fees = token_wallet.get_fees_for_proofs(proofs)
         if token_unit == "sat":
-            fee_msat = fee_reserve * 1000
+            fee_msat = (fee_reserve + input_fees) * 1000
         else:
-            fee_msat = fee_reserve
+            fee_msat = fee_reserve + input_fees
 
         amount_msat_after_fee = amount_msat - fee_msat
 
@@ -109,13 +167,14 @@ async def _calculate_swap_amount(
             minted_amount = int(amount_msat_after_fee)
 
         if minted_amount <= 0:
-            raise ValueError(f"Fees ({fee_reserve} {token_unit}) exceed token amount")
+            raise ValueError(f"Fees ({fee_reserve + input_fees} {token_unit}) exceed token amount")
 
         logger.info(
             "swap_to_primary_mint: fee estimation result",
             extra={
                 "token_amount_sat": amount_msat // 1000,
                 "estimated_fee_sat": fee_msat // 1000,
+                "input_fees": input_fees,
                 "minted_amount": minted_amount,
                 "minted_unit": settings.primary_mint_unit,
             },
@@ -176,6 +235,7 @@ async def swap_to_primary_mint(
         token_obj.mint,
         token_wallet,
         primary_wallet,
+        token_obj.proofs,
     )
 
     mint_quote = await primary_wallet.request_mint(minted_amount)
@@ -185,13 +245,15 @@ async def swap_to_primary_mint(
     )
 
     melt_quote = await token_wallet.melt_quote(mint_quote.request)
-    total_needed = melt_quote.amount + melt_quote.fee_reserve
+    input_fees = token_wallet.get_fees_for_proofs(token_obj.proofs)
+    total_needed = melt_quote.amount + melt_quote.fee_reserve + input_fees
     logger.info(
         "swap_to_primary_mint: melt quote received",
         extra={
             "melt_quote_id": melt_quote.quote,
             "melt_amount": melt_quote.amount,
             "melt_fee_reserve": melt_quote.fee_reserve,
+            "input_fees": input_fees,
             "total_needed": total_needed,
             "token_amount": token_amount,
         },
@@ -204,6 +266,7 @@ async def swap_to_primary_mint(
                 "token_amount": token_amount,
                 "melt_amount": melt_quote.amount,
                 "melt_fee_reserve": melt_quote.fee_reserve,
+                "input_fees": input_fees,
                 "total_needed": total_needed,
                 "shortfall": total_needed - token_amount,
             },
@@ -211,7 +274,7 @@ async def swap_to_primary_mint(
         raise ValueError(
             f"Token amount ({token_amount} {token_obj.unit}) is insufficient to cover "
             f"melt fees. Needed: {total_needed} {token_obj.unit} "
-            f"(amount: {melt_quote.amount} + fee: {melt_quote.fee_reserve})"
+            f"(amount: {melt_quote.amount} + fee: {melt_quote.fee_reserve} + input_fees: {input_fees})"
         )
 
     try:
@@ -242,19 +305,66 @@ async def swap_to_primary_mint(
         extra={"minted_amount": minted_amount, "mint_quote_id": mint_quote.quote},
     )
 
+    await primary_wallet.load_proofs(reload=True)
+    pre_mint_balance = primary_wallet.available_balance.amount
     try:
         _ = await primary_wallet.mint(minted_amount, quote_id=mint_quote.quote)
     except Exception as e:
-        logger.error(
-            "swap_to_primary_mint: mint on primary failed after successful melt",
-            extra={
-                "error": str(e),
-                "error_type": type(e).__name__,
-                "minted_amount": minted_amount,
-                "mint_quote_id": mint_quote.quote,
-            },
-        )
-        raise
+        if "11003" in str(e) or "outputs already signed" in str(e).lower():
+            # Previous mint call signed outputs at the mint but failed before
+            # bump_secret_derivation ran locally. Recover orphaned proofs and
+            # advance the counter so the next request derives fresh secrets.
+            logger.warning(
+                "swap_to_primary_mint: outputs already signed — recovering orphaned proofs",
+                extra={"mint_quote_id": mint_quote.quote, "minted_amount": minted_amount},
+            )
+            try:
+                for keyset_id in primary_wallet.keysets:
+                    await primary_wallet.restore_tokens_for_keyset(keyset_id, to=1, batch=25)
+                await primary_wallet.load_proofs(reload=True)
+                post_recovery_balance = primary_wallet.available_balance.amount
+                balance_gained = post_recovery_balance - pre_mint_balance
+                logger.info(
+                    "swap_to_primary_mint: recovery scan completed",
+                    extra={
+                        "pre_mint_balance": pre_mint_balance,
+                        "post_recovery_balance": post_recovery_balance,
+                        "balance_gained": balance_gained,
+                        "expected": minted_amount,
+                    },
+                )
+                if balance_gained < minted_amount:
+                    # Recovery scan ran but did NOT restore the orphaned proofs
+                    # (mint reports them as spent — they're stuck). Refuse to
+                    # credit the API key balance for proofs we don't actually hold.
+                    raise ValueError(
+                        f"Swap recovery failed: mint signed outputs but proofs are "
+                        f"unrecoverable (mint reports them spent). "
+                        f"Expected {minted_amount}, recovered {balance_gained}. "
+                        f"Local wallet DB ('.wallet/') state is corrupted — "
+                        f"the counter for keyset is stuck at a bad index range."
+                    )
+            except ValueError:
+                raise
+            except Exception as recovery_err:
+                logger.error(
+                    "swap_to_primary_mint: recovery failed",
+                    extra={"error": str(recovery_err)},
+                )
+                raise ValueError(
+                    f"Mint on primary failed and recovery unsuccessful: {e}"
+                ) from e
+        else:
+            logger.error(
+                "swap_to_primary_mint: mint on primary failed after successful melt",
+                extra={
+                    "error": str(e),
+                    "error_type": type(e).__name__,
+                    "minted_amount": minted_amount,
+                    "mint_quote_id": mint_quote.quote,
+                },
+            )
+            raise
 
     logger.info(
         "swap_to_primary_mint: completed successfully",
@@ -326,7 +436,7 @@ async def credit_balance(
         except Exception:
             pass
 
-        logger.info(
+        logger.debug(
             "Cashu token successfully redeemed and stored",
             extra={"amount": amount, "unit": unit, "mint_url": mint_url},
         )
@@ -428,7 +538,7 @@ async def fetch_all_balances(
                 "unit": unit,
                 "wallet_balance": proofs_balance,
                 "user_balance": user_balance,
-                "owner_balance": proofs_balance - user_balance,
+                "owner_balance": proofs_balance - user_balance if proofs_balance != 0 else 0,
             }
             return result
         except Exception as e:
@@ -476,7 +586,9 @@ async def fetch_all_balances(
             total_wallet_balance_sats += proofs_balance_sats
             total_user_balance_sats += user_balance_sats
 
-    owner_balance = total_wallet_balance_sats - total_user_balance_sats
+    owner_balance = 0
+    if total_wallet_balance_sats != 0:
+        owner_balance = total_wallet_balance_sats - total_user_balance_sats
 
     return (
         balance_details,
@@ -487,11 +599,11 @@ async def fetch_all_balances(
 
 
 async def periodic_payout() -> None:
-    if not settings.receive_ln_address:
-        logger.error("RECEIVE_LN_ADDRESS is not set, skipping payout")
-        return
     while True:
-        await asyncio.sleep(60 * 15)
+        await asyncio.sleep(settings.payout_interval_seconds)
+        print(settings.payout_interval_seconds)
+        if not settings.receive_ln_address:
+            continue
         try:
             async with db.create_session() as session:
                 for mint_url in settings.cashu_mints:
@@ -509,7 +621,12 @@ async def periodic_payout() -> None:
                             user_balance = user_balance // 1000
                         proofs_balance = sum(proof.amount for proof in proofs)
                         available_balance = proofs_balance - user_balance
-                        min_amount = 210 if unit == "sat" else 210000
+                        # Threshold is configured in sats; convert for msat wallets.
+                        min_amount = (
+                            settings.min_payout_sat
+                            if unit == "sat"
+                            else settings.min_payout_sat * 1000
+                        )
                         if available_balance > min_amount:
                             amount_received = await raw_send_to_lnurl(
                                 wallet,

tests/integration/test_cli_tokens.py

@@ -0,0 +1,302 @@
+"""Integration tests for CLI token management (/admin/api/cli-tokens).
+
+Covers:
+- GET    /admin/api/cli-tokens           — list (preview only, no full token)
+- POST   /admin/api/cli-tokens           — create (returns full token once)
+- DELETE /admin/api/cli-tokens/{id}      — revoke
+- Using a CLI token as Bearer auth against admin endpoints
+- Expiry enforcement (expired tokens are rejected by require_admin_api)
+- last_used_at bump on successful use
+- Auth failures: missing token, wrong token, revoked token
+"""
+
+from __future__ import annotations
+
+import secrets
+import time
+from typing import AsyncGenerator
+
+import pytest
+import pytest_asyncio
+from httpx import AsyncClient
+from sqlmodel import select
+
+from routstr.core.admin import admin_sessions
+from routstr.core.db import AsyncSession, CliToken
+
+# ──────────────────────────────────────────────────────────────────────────────
+# Fixtures
+# ──────────────────────────────────────────────────────────────────────────────
+
+@pytest_asyncio.fixture
+async def admin_session_token() -> AsyncGenerator[str, None]:
+    """Inject a short-lived admin session token into admin_sessions."""
+    token = secrets.token_urlsafe(24)
+    admin_sessions[token] = int(time.time()) + 3600
+    yield token
+    admin_sessions.pop(token, None)
+
+
+@pytest_asyncio.fixture
+async def admin_client(
+    integration_client: AsyncClient, admin_session_token: str
+) -> AsyncClient:
+    """An integration_client pre-authenticated with an admin session token."""
+    integration_client.headers["Authorization"] = f"Bearer {admin_session_token}"
+    return integration_client
+
+
+# ──────────────────────────────────────────────────────────────────────────────
+# Creation
+# ──────────────────────────────────────────────────────────────────────────────
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_create_cli_token_returns_full_token_once(
+    admin_client: AsyncClient,
+) -> None:
+    """POST /admin/api/cli-tokens returns the raw token only on creation."""
+    resp = await admin_client.post(
+        "/admin/api/cli-tokens",
+        json={"name": "my-laptop"},
+    )
+    assert resp.status_code == 200
+    body = resp.json()
+
+    assert body["name"] == "my-laptop"
+    assert isinstance(body["id"], str) and body["id"]
+    assert isinstance(body["token"], str) and len(body["token"]) >= 32
+    assert body["expires_at"] is None
+    assert isinstance(body["created_at"], int)
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_create_cli_token_with_expiry(admin_client: AsyncClient) -> None:
+    """expires_in_days sets expires_at ~= now + days * 86400."""
+    before = int(time.time())
+    resp = await admin_client.post(
+        "/admin/api/cli-tokens",
+        json={"name": "ci-runner", "expires_in_days": 7},
+    )
+    assert resp.status_code == 200
+    body = resp.json()
+
+    assert body["expires_at"] is not None
+    delta = body["expires_at"] - before
+    # Allow 10s jitter around 7 * 86400
+    assert 7 * 86400 - 10 <= delta <= 7 * 86400 + 10
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_create_cli_token_rejects_empty_name(
+    admin_client: AsyncClient,
+) -> None:
+    resp = await admin_client.post(
+        "/admin/api/cli-tokens", json={"name": "   "}
+    )
+    assert resp.status_code == 400
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_create_cli_token_requires_admin(
+    integration_client: AsyncClient,
+) -> None:
+    """No admin token / no bearer → 403."""
+    resp = await integration_client.post(
+        "/admin/api/cli-tokens", json={"name": "no-auth"}
+    )
+    assert resp.status_code == 403
+
+
+# ──────────────────────────────────────────────────────────────────────────────
+# Listing
+# ──────────────────────────────────────────────────────────────────────────────
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_list_cli_tokens_returns_preview_not_full_token(
+    admin_client: AsyncClient,
+) -> None:
+    """Listing never leaks the raw token."""
+    create = await admin_client.post(
+        "/admin/api/cli-tokens", json={"name": "secret-keeper"}
+    )
+    assert create.status_code == 200
+    full_token = create.json()["token"]
+
+    resp = await admin_client.get("/admin/api/cli-tokens")
+    assert resp.status_code == 200
+    items = resp.json()
+    assert any(t["name"] == "secret-keeper" for t in items)
+
+    for t in items:
+        # No 'token' field, only 'token_preview'
+        assert "token" not in t
+        assert "token_preview" in t
+        assert full_token not in t["token_preview"]
+        assert "..." in t["token_preview"]
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_list_cli_tokens_requires_admin(
+    integration_client: AsyncClient,
+) -> None:
+    resp = await integration_client.get("/admin/api/cli-tokens")
+    assert resp.status_code == 403
+
+
+# ──────────────────────────────────────────────────────────────────────────────
+# Using a CLI token as admin auth
+# ──────────────────────────────────────────────────────────────────────────────
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_cli_token_authorizes_admin_endpoints(
+    admin_client: AsyncClient,
+    integration_client: AsyncClient,
+    integration_session: AsyncSession,
+) -> None:
+    """A freshly-created CLI token can be used as Bearer on admin endpoints."""
+    create = await admin_client.post(
+        "/admin/api/cli-tokens", json={"name": "cli-auth"}
+    )
+    assert create.status_code == 200
+    cli_token = create.json()["token"]
+    token_id = create.json()["id"]
+
+    # Use a NEW client to isolate the header from admin_session_token
+    integration_client.headers["Authorization"] = f"Bearer {cli_token}"
+    resp = await integration_client.get("/admin/api/cli-tokens")
+    assert resp.status_code == 200
+
+    # last_used_at should be populated after use
+    row = await integration_session.get(CliToken, token_id)
+    assert row is not None
+    assert row.last_used_at is not None
+    assert row.last_used_at >= row.created_at
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_expired_cli_token_is_rejected(
+    admin_client: AsyncClient,
+    integration_client: AsyncClient,
+    integration_session: AsyncSession,
+) -> None:
+    """A CLI token with expires_at in the past → 403."""
+    create = await admin_client.post(
+        "/admin/api/cli-tokens",
+        json={"name": "will-expire", "expires_in_days": 1},
+    )
+    assert create.status_code == 200
+    cli_token = create.json()["token"]
+    token_id = create.json()["id"]
+
+    # Force-expire it in the DB
+    row = await integration_session.get(CliToken, token_id)
+    assert row is not None
+    row.expires_at = int(time.time()) - 1
+    integration_session.add(row)
+    await integration_session.commit()
+
+    integration_client.headers["Authorization"] = f"Bearer {cli_token}"
+    resp = await integration_client.get("/admin/api/cli-tokens")
+    assert resp.status_code == 403
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_invalid_bearer_token_is_rejected(
+    integration_client: AsyncClient,
+) -> None:
+    integration_client.headers["Authorization"] = "Bearer not-a-real-token"
+    resp = await integration_client.get("/admin/api/cli-tokens")
+    assert resp.status_code == 403
+
+
+# ──────────────────────────────────────────────────────────────────────────────
+# Revocation
+# ──────────────────────────────────────────────────────────────────────────────
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_revoke_cli_token_removes_auth(
+    admin_client: AsyncClient,
+    integration_client: AsyncClient,
+    integration_session: AsyncSession,
+) -> None:
+    """After DELETE, the token no longer authorizes."""
+    create = await admin_client.post(
+        "/admin/api/cli-tokens", json={"name": "to-revoke"}
+    )
+    token_id = create.json()["id"]
+    cli_token = create.json()["token"]
+
+    revoke = await admin_client.delete(f"/admin/api/cli-tokens/{token_id}")
+    assert revoke.status_code == 200
+    assert revoke.json() == {"ok": True, "deleted_id": token_id}
+
+    # Row is gone
+    row = await integration_session.get(CliToken, token_id)
+    assert row is None
+
+    # Can no longer be used for auth
+    integration_client.headers["Authorization"] = f"Bearer {cli_token}"
+    resp = await integration_client.get("/admin/api/cli-tokens")
+    assert resp.status_code == 403
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_revoke_unknown_cli_token_returns_404(
+    admin_client: AsyncClient,
+) -> None:
+    resp = await admin_client.delete("/admin/api/cli-tokens/does-not-exist")
+    assert resp.status_code == 404
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_revoke_cli_token_requires_admin(
+    integration_client: AsyncClient,
+) -> None:
+    resp = await integration_client.delete("/admin/api/cli-tokens/anything")
+    assert resp.status_code == 403
+
+
+# ──────────────────────────────────────────────────────────────────────────────
+# Lifecycle / uniqueness
+# ──────────────────────────────────────────────────────────────────────────────
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_multiple_tokens_are_independent(
+    admin_client: AsyncClient,
+    integration_session: AsyncSession,
+) -> None:
+    """Creating N tokens yields N unique tokens that all live in DB."""
+    names = ["dev-a", "dev-b", "dev-c"]
+    raw_tokens: list[str] = []
+    ids: list[str] = []
+    for name in names:
+        r = await admin_client.post(
+            "/admin/api/cli-tokens", json={"name": name}
+        )
+        assert r.status_code == 200
+        raw_tokens.append(r.json()["token"])
+        ids.append(r.json()["id"])
+
+    # All unique
+    assert len(set(raw_tokens)) == len(raw_tokens)
+    assert len(set(ids)) == len(ids)
+
+    # All in DB
+    result = await integration_session.exec(
+        select(CliToken).where(CliToken.name.in_(names))  # type: ignore[attr-defined]
+    )
+    rows = result.all()
+    assert {r.name for r in rows} == set(names)

tests/integration/test_insufficient_balance.py

@@ -124,6 +124,40 @@ async def test_pay_for_request_raises_402_when_all_balance_reserved(
     assert key.reserved_balance == 50_000
 
 
+@pytest.mark.asyncio
+async def test_balance_info_matches_chat_available_balance(
+    integration_client: AsyncClient,
+    integration_session: AsyncSession,
+) -> None:
+    """
+    Regression for /v1/balance/info showing gross funds while chat admission
+    rejects with a negative available balance.
+    """
+    from routstr.auth import pay_for_request
+
+    key = _key(balance=4_404_339, reserved=4_410_636)
+    integration_session.add(key)
+    await integration_session.commit()
+
+    response = await integration_client.get(
+        "/v1/balance/info",
+        headers={"Authorization": f"Bearer sk-{key.hashed_key}"},
+    )
+
+    assert response.status_code == 200
+    body = response.json()
+    assert body["balance"] == -6_297
+    assert body["reserved"] == 4_410_636
+
+    with pytest.raises(HTTPException) as exc_info:
+        await pay_for_request(key, 1, integration_session)
+
+    assert exc_info.value.status_code == 402
+    detail = exc_info.value.detail
+    assert isinstance(detail, dict)
+    assert "-6297 available" in detail["error"]["message"]
+
+
 # ---------------------------------------------------------------------------
 # Test 4 — balance just one msat below model cost
 # ---------------------------------------------------------------------------

tests/integration/test_lightning_invoice_rip08.py

@@ -0,0 +1,198 @@
+"""RIP-08 lightning invoice endpoint tests.
+
+Verifies both the spec-compliant path (`POST /lightning/invoice` with
+`Authorization: Bearer sk-...`) and the legacy path
+(`POST /v1/balance/lightning/invoice` with `api_key` in body).
+"""
+
+from __future__ import annotations
+
+from typing import Any
+from unittest.mock import patch
+
+import pytest
+import pytest_asyncio
+from httpx import AsyncClient
+from sqlmodel.ext.asyncio.session import AsyncSession
+
+from routstr.core.db import ApiKey
+
+RIP08_PATH = "/lightning/invoice"
+LEGACY_PATH = "/v1/balance/lightning/invoice"
+
+
+@pytest_asyncio.fixture
+async def patch_invoice_generation() -> Any:
+    """Stub out `generate_lightning_invoice` so no mint round-trip is needed."""
+    counter = {"n": 0}
+
+    async def fake_generate(amount_sats: int, description: str) -> tuple[str, str]:
+        counter["n"] += 1
+        return (
+            f"lnbc{amount_sats}n1pfakeinvoice{counter['n']}",
+            f"payment_hash_{counter['n']}",
+        )
+
+    with patch(
+        "routstr.lightning.generate_lightning_invoice",
+        side_effect=fake_generate,
+    ) as m:
+        yield m
+
+
+@pytest_asyncio.fixture
+async def seeded_topup_key(integration_session: AsyncSession) -> str:
+    """Insert an ApiKey row and return the public `sk-...` form."""
+    hashed = "0" * 64
+    key = ApiKey(
+        hashed_key=hashed,
+        balance=0,
+        refund_currency="sat",
+        refund_mint_url="http://localhost:3338",
+    )
+    integration_session.add(key)
+    await integration_session.commit()
+    return f"sk-{hashed}"
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+@pytest.mark.parametrize("path", [RIP08_PATH, LEGACY_PATH])
+async def test_create_invoice_purpose_create(
+    integration_client: AsyncClient,
+    patch_invoice_generation: Any,
+    path: str,
+) -> None:
+    """`purpose=create` works on both paths and requires no auth."""
+    resp = await integration_client.post(
+        path,
+        json={"amount_sats": 1000, "purpose": "create"},
+    )
+    assert resp.status_code == 200, resp.text
+    body = resp.json()
+    assert body["amount_sats"] == 1000
+    assert body["bolt11"].startswith("lnbc")
+    assert body["invoice_id"]
+    assert body["payment_hash"]
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+@pytest.mark.parametrize("path", [RIP08_PATH, LEGACY_PATH])
+async def test_topup_with_authorization_header(
+    integration_client: AsyncClient,
+    patch_invoice_generation: Any,
+    seeded_topup_key: str,
+    path: str,
+) -> None:
+    """RIP-08: topup using `Authorization: Bearer sk-...` header (no api_key in body)."""
+    resp = await integration_client.post(
+        path,
+        json={"amount_sats": 500, "purpose": "topup"},
+        headers={"Authorization": f"Bearer {seeded_topup_key}"},
+    )
+    assert resp.status_code == 200, resp.text
+    body = resp.json()
+    assert body["amount_sats"] == 500
+    assert body["bolt11"].startswith("lnbc")
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+@pytest.mark.parametrize("path", [RIP08_PATH, LEGACY_PATH])
+async def test_topup_with_legacy_api_key_in_body(
+    integration_client: AsyncClient,
+    patch_invoice_generation: Any,
+    seeded_topup_key: str,
+    path: str,
+) -> None:
+    """Legacy: topup with `api_key` in body still accepted on both paths."""
+    resp = await integration_client.post(
+        path,
+        json={
+            "amount_sats": 250,
+            "purpose": "topup",
+            "api_key": seeded_topup_key,
+        },
+    )
+    assert resp.status_code == 200, resp.text
+    assert resp.json()["amount_sats"] == 250
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+@pytest.mark.parametrize("path", [RIP08_PATH, LEGACY_PATH])
+async def test_topup_missing_auth_returns_401(
+    integration_client: AsyncClient,
+    patch_invoice_generation: Any,
+    path: str,
+) -> None:
+    """Topup without any credential is rejected on both paths."""
+    resp = await integration_client.post(
+        path,
+        json={"amount_sats": 100, "purpose": "topup"},
+    )
+    assert resp.status_code == 401
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+@pytest.mark.parametrize("path", [RIP08_PATH, LEGACY_PATH])
+async def test_topup_unknown_api_key_returns_404(
+    integration_client: AsyncClient,
+    patch_invoice_generation: Any,
+    path: str,
+) -> None:
+    resp = await integration_client.post(
+        path,
+        json={"amount_sats": 100, "purpose": "topup"},
+        headers={"Authorization": "Bearer sk-deadbeef"},
+    )
+    assert resp.status_code == 404
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+@pytest.mark.parametrize("path", [RIP08_PATH, LEGACY_PATH])
+async def test_invoice_status_404_for_unknown_id(
+    integration_client: AsyncClient,
+    path: str,
+) -> None:
+    base = path.rsplit("/invoice", 1)[0] + "/invoice"
+    resp = await integration_client.get(f"{base}/does-not-exist/status")
+    assert resp.status_code == 404
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_purpose_defaults_to_create(
+    integration_client: AsyncClient,
+    patch_invoice_generation: Any,
+) -> None:
+    """Per RIP-08, `purpose` may be omitted and defaults to `create`."""
+    resp = await integration_client.post(
+        RIP08_PATH,
+        json={"amount_sats": 100},
+    )
+    assert resp.status_code == 200, resp.text
+    assert resp.json()["amount_sats"] == 100
+
+
+@pytest.mark.integration
+@pytest.mark.asyncio
+async def test_authorization_header_overrides_body_api_key(
+    integration_client: AsyncClient,
+    patch_invoice_generation: Any,
+    seeded_topup_key: str,
+) -> None:
+    """Header api_key wins over body api_key: bogus body must not cause 404."""
+    resp = await integration_client.post(
+        RIP08_PATH,
+        json={
+            "amount_sats": 100,
+            "purpose": "topup",
+            "api_key": "sk-" + "f" * 64,  # bogus body key
+        },
+        headers={"Authorization": f"Bearer {seeded_topup_key}"},
+    )
+    assert resp.status_code == 200, resp.text

tests/integration/test_wallet_refund.py

@@ -372,17 +372,17 @@ async def test_refund_rejects_concurrent_topup_on_same_key(
     topup_amount_sat = 500
     topup_token = await testmint_wallet.mint_tokens(topup_amount_sat)
 
-    validate_called = asyncio.Event()
+    key_looked_up = asyncio.Event()
     allow_refund_to_continue = asyncio.Event()
-    original_validate_bearer_key = balance_module.validate_bearer_key
+    original_lookup = balance_module._lookup_key_no_create
     delayed_once = False
 
-    async def delayed_validate_bearer_key(*args: Any, **kwargs: Any) -> ApiKey:
+    async def delayed_lookup_key_no_create(*args: Any, **kwargs: Any) -> ApiKey | None:
         nonlocal delayed_once
-        key = await original_validate_bearer_key(*args, **kwargs)
-        if not delayed_once:
+        key = await original_lookup(*args, **kwargs)
+        if not delayed_once and key is not None:
             delayed_once = True
-            validate_called.set()
+            key_looked_up.set()
             await allow_refund_to_continue.wait()
         return key
 
@@ -390,7 +390,7 @@ async def test_refund_rejects_concurrent_topup_on_same_key(
         return await authenticated_client.post("/v1/wallet/refund")
 
     async def issue_topup() -> Any:
-        await validate_called.wait()
+        await key_looked_up.wait()
         try:
             return await authenticated_client.post(
                 "/v1/wallet/topup", params={"cashu_token": topup_token}
@@ -399,7 +399,7 @@ async def test_refund_rejects_concurrent_topup_on_same_key(
             allow_refund_to_continue.set()
 
     with patch(
-        "routstr.balance.validate_bearer_key", new=delayed_validate_bearer_key
+        "routstr.balance._lookup_key_no_create", new=delayed_lookup_key_no_create
     ):
         refund_response, topup_response = await asyncio.gather(
             issue_refund(), issue_topup()

tests/unit/test_balance.py

@@ -168,12 +168,12 @@ async def test_apikey_refund_stores_cashu_transaction_with_apikey_source() -> No
     refund_token = "cashuArefund_apikey_token"
 
     session = MagicMock()
+    session.get = AsyncMock(return_value=key)
     session.exec = AsyncMock(return_value=_update_result(1))
     session.add = MagicMock()
     session.commit = AsyncMock()
 
     with (
-        patch("routstr.balance.validate_bearer_key", AsyncMock(return_value=key)),
         patch("routstr.balance.get_billing_key", AsyncMock(return_value=key)),
         patch("routstr.balance.send_token", AsyncMock(return_value=refund_token)),
         patch("routstr.balance.store_cashu_transaction", AsyncMock()) as mock_store,
@@ -203,12 +203,12 @@ async def test_apikey_refund_logs_token() -> None:
     refund_token = "cashuAlogged_token"
 
     session = MagicMock()
+    session.get = AsyncMock(return_value=key)
     session.exec = AsyncMock(return_value=_update_result(1))
     session.add = MagicMock()
     session.commit = AsyncMock()
 
     with (
-        patch("routstr.balance.validate_bearer_key", AsyncMock(return_value=key)),
         patch("routstr.balance.get_billing_key", AsyncMock(return_value=key)),
         patch("routstr.balance.send_token", AsyncMock(return_value=refund_token)),
         patch("routstr.balance.store_cashu_transaction", AsyncMock()),
@@ -232,12 +232,12 @@ async def test_apikey_refund_log_includes_path() -> None:
     refund_token = "cashuApath_token"
 
     session = MagicMock()
+    session.get = AsyncMock(return_value=key)
     session.exec = AsyncMock(return_value=_update_result(1))
     session.add = MagicMock()
     session.commit = AsyncMock()
 
     with (
-        patch("routstr.balance.validate_bearer_key", AsyncMock(return_value=key)),
         patch("routstr.balance.get_billing_key", AsyncMock(return_value=key)),
         patch("routstr.balance.send_token", AsyncMock(return_value=refund_token)),
         patch("routstr.balance.store_cashu_transaction", AsyncMock()),
@@ -269,6 +269,7 @@ async def test_apikey_refund_rejects_on_concurrent_balance_change() -> None:
     key = _make_api_key(balance=5000, refund_currency="sat")
 
     session = MagicMock()
+    session.get = AsyncMock(return_value=key)
     # Debit returns rowcount=0 → balance changed concurrently
     session.exec = AsyncMock(return_value=_update_result(0))
     session.commit = AsyncMock()
@@ -276,7 +277,6 @@ async def test_apikey_refund_rejects_on_concurrent_balance_change() -> None:
     mock_send_token = AsyncMock(return_value="cashuAshould_not_be_minted")
 
     with (
-        patch("routstr.balance.validate_bearer_key", AsyncMock(return_value=key)),
         patch("routstr.balance.get_billing_key", AsyncMock(return_value=key)),
         patch("routstr.balance.send_token", mock_send_token),
         patch("routstr.balance.store_cashu_transaction", AsyncMock()),
@@ -333,11 +333,11 @@ async def test_apikey_refund_restores_balance_on_mint_failure() -> None:
 
     # First exec call = debit (succeeds), second = restore
     session = MagicMock()
+    session.get = AsyncMock(return_value=key)
     session.exec = AsyncMock(side_effect=[_update_result(1), _update_result(1)])
     session.commit = AsyncMock()
 
     with (
-        patch("routstr.balance.validate_bearer_key", AsyncMock(return_value=key)),
         patch("routstr.balance.get_billing_key", AsyncMock(return_value=key)),
         patch("routstr.balance.send_token", AsyncMock(side_effect=Exception("mint down"))),
         patch("routstr.balance.store_cashu_transaction", AsyncMock()),
@@ -355,3 +355,49 @@ async def test_apikey_refund_restores_balance_on_mint_failure() -> None:
     assert exc_info.value.status_code == 503
     # Verify two exec calls: debit + restore
     assert session.exec.await_count == 2
+
+
+# ---------------------------------------------------------------------------
+# no-create guarantee: fresh Cashu/unknown sk- tokens must not create API keys
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.asyncio
+async def test_refund_fresh_cashu_bearer_returns_401() -> None:
+    """Fresh Cashu token not in DB must get 401, never create a new ApiKey."""
+    from fastapi import HTTPException
+
+    session = MagicMock()
+    session.get = AsyncMock(return_value=None)
+
+    with pytest.raises(HTTPException) as exc_info:
+        await refund_wallet_endpoint(
+            authorization="Bearer cashuAfresh_never_deposited_token",
+            x_cashu=None,
+            session=session,
+        )
+
+    assert exc_info.value.status_code == 401
+    session.get.assert_awaited_once()
+    # No add/commit → no key was persisted
+    session.add.assert_not_called()
+    session.commit.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_refund_unknown_sk_bearer_returns_401() -> None:
+    """Unknown sk- key not in DB must get 401."""
+    from fastapi import HTTPException
+
+    session = MagicMock()
+    session.get = AsyncMock(return_value=None)
+
+    with pytest.raises(HTTPException) as exc_info:
+        await refund_wallet_endpoint(
+            authorization="Bearer sk-unknownhash",
+            x_cashu=None,
+            session=session,
+        )
+
+    assert exc_info.value.status_code == 401
+    session.get.assert_awaited_once()

tests/unit/test_cost_calculation_caching.py

@@ -0,0 +1,345 @@
+"""Tests for cache token handling in cost calculation.
+
+Covers OpenAI vs Anthropic caching formats, edge cases, and billing accuracy.
+"""
+
+import os
+from unittest.mock import AsyncMock, patch
+
+import pytest
+
+os.environ.setdefault("UPSTREAM_BASE_URL", "http://test")
+os.environ.setdefault("UPSTREAM_API_KEY", "test")
+os.environ.setdefault("LIGHTNING_ADDRESS", "test@stm.to")
+
+from routstr.core.settings import settings
+from routstr.payment.cost_calculation import CostData, MaxCostData, calculate_cost
+
+
+@pytest.fixture
+def mock_session() -> AsyncMock:
+    """Mock AsyncSession for cost calculation tests."""
+    return AsyncMock()
+
+
+@pytest.fixture(autouse=True)
+def mock_fixed_pricing(monkeypatch: pytest.MonkeyPatch) -> None:
+    """Mock settings and price to use fixed pricing."""
+    monkeypatch.setattr(settings, "fixed_pricing", True)
+    monkeypatch.setattr(settings, "fixed_per_1k_input_tokens", 0.001)
+    monkeypatch.setattr(settings, "fixed_per_1k_output_tokens", 0.001)
+
+
+@pytest.fixture(autouse=True)
+def patch_sats_usd_price() -> None:  # type: ignore[misc]
+    """Patch sats_usd_price to avoid initialization issues."""
+    with patch("routstr.payment.cost_calculation.sats_usd_price", return_value=5.0e-5):
+        yield
+
+
+# ============================================================================
+# Test 1: OpenAI Cache Format
+# ============================================================================
+@pytest.mark.asyncio
+async def test_openai_cache_subtraction(mock_session: AsyncMock) -> None:
+    """OpenAI includes cached_tokens in prompt_tokens, subtract them."""
+    response = {
+        "model": "gpt-4",
+        "usage": {
+            "prompt_tokens": 2000,  # ← Includes 1000 cached
+            "completion_tokens": 100,
+            "prompt_tokens_details": {
+                "cached_tokens": 1000  # ← Extracted separately
+            }
+        }
+    }
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    assert isinstance(result, CostData)
+    assert result.input_tokens == 1000  # 2000 - 1000
+    assert result.cache_read_input_tokens == 1000
+    assert result.output_tokens == 100
+
+
+# ============================================================================
+# Test 2: Anthropic Cache Format
+# ============================================================================
+@pytest.mark.asyncio
+async def test_anthropic_cache_additive(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """Anthropic cache tokens are separate (additive) from input_tokens."""
+    response = {
+        "model": "claude-3-5-sonnet",
+        "usage": {
+            "input_tokens": 500,  # ← Regular input only
+            "output_tokens": 100,
+            "cache_creation_input_tokens": 1500,  # ← Additive, not included above
+            "cache_read_input_tokens": 0,
+        }
+    }
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    assert isinstance(result, CostData)
+    assert result.input_tokens == 500
+    assert result.cache_creation_input_tokens == 1500
+    assert result.cache_read_input_tokens == 0
+    assert result.output_tokens == 100
+
+
+# ============================================================================
+# Test 3: Invalid Cache (Edge Case)
+# ============================================================================
+@pytest.mark.asyncio
+async def test_cache_read_exceeds_prompt_tokens(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """Handle buggy upstream reporting cached > prompt_tokens."""
+    response = {
+        "model": "gpt-4",
+        "usage": {
+            "prompt_tokens": 100,
+            "completion_tokens": 50,
+            "prompt_tokens_details": {
+                "cached_tokens": 150  # ← Invalid! Greater than prompt
+            }
+        }
+    }
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    # Should not go negative
+    assert isinstance(result, CostData)
+    assert result.input_tokens == 0  # max(0, 100 - 150)
+    assert result.cache_read_input_tokens == 150
+    assert result.output_tokens == 50
+
+
+# ============================================================================
+# Test 4: Malformed Token Values
+# ============================================================================
+@pytest.mark.asyncio
+async def test_malformed_cache_tokens_coerce_to_zero(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """Handle non-numeric cache token values."""
+    response = {
+        "model": "gpt-4",
+        "usage": {
+            "prompt_tokens": 100,
+            "completion_tokens": 50,
+            "cache_read_input_tokens": "-50",  # ← String, negative
+            "prompt_tokens_details": {
+                "cached_tokens": "invalid"  # ← Non-numeric string
+            }
+        }
+    }
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    # Both should coerce to 0
+    assert isinstance(result, CostData)
+    assert result.cache_read_input_tokens == 0
+    assert result.input_tokens == 100  # No subtraction if cache_read = 0
+
+
+# ============================================================================
+# Test 5: Anthropic Cache Not Subtracted
+# ============================================================================
+@pytest.mark.asyncio
+async def test_anthropic_cache_not_subtracted(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """Anthropic cache fields should NOT be subtracted from input_tokens."""
+    response = {
+        "model": "claude-3-5-sonnet",
+        "usage": {
+            "input_tokens": 500,
+            "completion_tokens": 100,
+            "cache_read_input_tokens": 200,  # ← Additive, don't subtract
+        }
+    }
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    # Anthropic: input_tokens stays as-is
+    assert isinstance(result, CostData)
+    assert result.input_tokens == 500  # NOT 300
+    assert result.cache_read_input_tokens == 200
+
+
+# ============================================================================
+# Test 6: Only Cache Read, No Regular Input
+# ============================================================================
+@pytest.mark.asyncio
+async def test_only_cache_read_tokens(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """Handle response with only cache read tokens."""
+    response = {
+        "model": "gpt-4",
+        "usage": {
+            "prompt_tokens": 0,
+            "completion_tokens": 50,
+            "prompt_tokens_details": {
+                "cached_tokens": 1000
+            }
+        }
+    }
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    assert isinstance(result, CostData)
+    assert result.input_tokens == 0  # max(0, 0 - 1000)
+    assert result.cache_read_input_tokens == 1000
+    assert result.output_tokens == 50
+
+
+# ============================================================================
+# Test 7: Only Cache Creation
+# ============================================================================
+@pytest.mark.asyncio
+async def test_only_cache_creation_tokens(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """Handle response with only cache creation tokens (Anthropic)."""
+    response = {
+        "model": "claude-3-5-sonnet",
+        "usage": {
+            "input_tokens": 500,
+            "output_tokens": 100,
+            "cache_creation_input_tokens": 2000,
+            "cache_read_input_tokens": 0,
+        }
+    }
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    assert isinstance(result, CostData)
+    assert result.input_tokens == 500
+    assert result.cache_creation_input_tokens == 2000
+    assert result.cache_read_input_tokens == 0
+    assert result.output_tokens == 100
+
+
+# ============================================================================
+# Test 8: Both Cache Read and Creation
+# ============================================================================
+@pytest.mark.asyncio
+async def test_both_cache_read_and_creation(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """Handle response with both cache read and creation."""
+    response = {
+        "model": "claude-3-5-sonnet",
+        "usage": {
+            "input_tokens": 300,
+            "output_tokens": 100,
+            "cache_creation_input_tokens": 2000,
+            "cache_read_input_tokens": 500,
+        }
+    }
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    assert isinstance(result, CostData)
+    assert result.input_tokens == 300
+    assert result.cache_creation_input_tokens == 2000
+    assert result.cache_read_input_tokens == 500
+    assert result.output_tokens == 100
+
+
+# ============================================================================
+# Test 9: Token Field Fallback
+# ============================================================================
+@pytest.mark.asyncio
+async def test_token_field_fallback_order(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """Verify fallback order for token extraction."""
+    # When prompt_tokens is not present, fall back to input_tokens
+    response = {
+        "model": "gpt-4",
+        "usage": {
+            "input_tokens": 250,
+            "completion_tokens": 50,
+        }
+    }
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    assert isinstance(result, CostData)
+    assert result.input_tokens == 250
+    assert result.output_tokens == 50
+
+
+# ============================================================================
+# Test 10: Float Token Values
+# ============================================================================
+@pytest.mark.asyncio
+async def test_float_token_values_coerced_to_int(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """Handle float token values by converting to int."""
+    response = {
+        "model": "gpt-4",
+        "usage": {
+            "prompt_tokens": 100.7,  # Float
+            "completion_tokens": 50.3,  # Float
+            "cache_read_input_tokens": 25.9,  # Float
+        }
+    }
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    assert isinstance(result, CostData)
+    assert result.input_tokens == 100  # Floored
+    assert result.output_tokens == 50  # Floored
+    assert result.cache_read_input_tokens == 25  # Floored
+
+
+# ============================================================================
+# Test 11: Boolean Cache Tokens
+# ============================================================================
+@pytest.mark.asyncio
+async def test_boolean_cache_tokens_coerced_to_zero(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """Handle boolean cache token values by coercing to zero."""
+    response = {
+        "model": "gpt-4",
+        "usage": {
+            "prompt_tokens": 100,
+            "completion_tokens": 50,
+            "cache_read_input_tokens": True,  # Boolean
+        }
+    }
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    assert isinstance(result, CostData)
+    assert result.cache_read_input_tokens == 0  # Boolean coerced to 0
+    assert result.input_tokens == 100  # No subtraction
+
+
+# ============================================================================
+# Test 12: Zero Cache Tokens
+# ============================================================================
+@pytest.mark.asyncio
+async def test_zero_cache_tokens(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """Handle explicit zero cache tokens."""
+    response = {
+        "model": "gpt-4",
+        "usage": {
+            "prompt_tokens": 100,
+            "completion_tokens": 50,
+            "prompt_tokens_details": {
+                "cached_tokens": 0
+            }
+        }
+    }
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    assert isinstance(result, CostData)
+    assert result.cache_read_input_tokens == 0
+    assert result.input_tokens == 100
+
+
+# ============================================================================
+# Test 13: Missing Usage Block
+# ============================================================================
+@pytest.mark.asyncio
+async def test_missing_usage_block(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """When usage is missing, return MaxCostData with zero tokens."""
+    response = {"model": "gpt-4", "choices": [{"message": {"content": "test"}}]}
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    assert isinstance(result, MaxCostData)
+    assert result.input_tokens == 0
+    assert result.cache_read_input_tokens == 0
+    assert result.output_tokens == 0
+
+
+# ============================================================================
+# Test 14: Null Usage Block
+# ============================================================================
+@pytest.mark.asyncio
+async def test_null_usage_block(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
+    """When usage is null, return MaxCostData with zero tokens."""
+    response = {"model": "gpt-4", "usage": None}
+    result = await calculate_cost(response, max_cost=100000, session=mock_session)
+
+    assert isinstance(result, MaxCostData)
+    assert result.input_tokens == 0
+    assert result.cache_read_input_tokens == 0

tests/unit/test_count_tokens_local.py

@@ -0,0 +1,177 @@
+"""Unit tests for the local count_tokens shim.
+
+The shim runs whenever an upstream that does not support Anthropic's
+``/v1/messages`` endpoint is asked for a token count. It must always
+return a 200 JSON ``{"input_tokens": N}`` response and must never raise.
+"""
+
+from __future__ import annotations
+
+import json
+from typing import Any
+from unittest.mock import patch
+
+from routstr.payment.models import Architecture, Model, Pricing
+from routstr.upstream import count_tokens as count_tokens_module
+from routstr.upstream.count_tokens import count_tokens_locally
+
+
+def _make_model(model_id: str = "anthropic/claude-3-5-sonnet") -> Model:
+    pricing = Pricing(prompt=0.000003, completion=0.000015)
+    architecture = Architecture(
+        modality="text",
+        input_modalities=["text"],
+        output_modalities=["text"],
+        tokenizer="cl100k_base",
+        instruct_type=None,
+    )
+    return Model(
+        id=model_id,
+        name=model_id,
+        created=0,
+        description="",
+        context_length=200_000,
+        architecture=architecture,
+        pricing=pricing,
+    )
+
+
+def _body(payload: dict[str, Any]) -> bytes:
+    return json.dumps(payload).encode()
+
+
+def _read_payload(response: Any) -> dict[str, Any]:
+    body = response.body if isinstance(response.body, bytes) else bytes(response.body)
+    return json.loads(body.decode())
+
+
+def test_returns_input_tokens_for_simple_messages() -> None:
+    model = _make_model()
+    request_body = _body(
+        {
+            "model": model.id,
+            "messages": [{"role": "user", "content": "hello world"}],
+        }
+    )
+
+    response = count_tokens_locally(request_body, model)
+
+    assert response.status_code == 200
+    assert response.media_type == "application/json"
+    payload = _read_payload(response)
+    assert "input_tokens" in payload
+    assert isinstance(payload["input_tokens"], int)
+    assert payload["input_tokens"] >= 0
+
+
+def test_falls_back_to_estimator_when_litellm_raises() -> None:
+    model = _make_model()
+    request_body = _body(
+        {
+            "model": model.id,
+            "messages": [{"role": "user", "content": "this is a longer message"}],
+        }
+    )
+
+    with patch.object(
+        count_tokens_module,
+        "_count_with_litellm",
+        side_effect=RuntimeError("boom"),
+    ):
+        response = count_tokens_locally(request_body, model)
+
+    assert response.status_code == 200
+    payload = _read_payload(response)
+    assert payload["input_tokens"] >= 1
+
+
+def test_handles_missing_model_object() -> None:
+    request_body = _body(
+        {
+            "model": "anthropic/claude-3-5-sonnet",
+            "messages": [{"role": "user", "content": "hi"}],
+        }
+    )
+
+    response = count_tokens_locally(request_body, None)
+
+    assert response.status_code == 200
+    payload = _read_payload(response)
+    assert payload["input_tokens"] >= 0
+
+
+def test_handles_empty_request_body() -> None:
+    response = count_tokens_locally(b"", _make_model())
+
+    assert response.status_code == 200
+    payload = _read_payload(response)
+    assert payload["input_tokens"] >= 0
+
+
+def test_handles_malformed_json() -> None:
+    response = count_tokens_locally(b"not-json", _make_model())
+
+    assert response.status_code == 200
+    payload = _read_payload(response)
+    assert payload["input_tokens"] >= 0
+
+
+def test_includes_system_prompt_in_count() -> None:
+    model = _make_model()
+    short = _body(
+        {
+            "model": model.id,
+            "messages": [{"role": "user", "content": "hi"}],
+        }
+    )
+    with_system = _body(
+        {
+            "model": model.id,
+            "system": "You are a helpful assistant with a long preamble " * 10,
+            "messages": [{"role": "user", "content": "hi"}],
+        }
+    )
+
+    short_count = _read_payload(count_tokens_locally(short, model))["input_tokens"]
+    long_count = _read_payload(count_tokens_locally(with_system, model))["input_tokens"]
+
+    assert long_count > short_count
+
+
+def test_supports_anthropic_system_block_list() -> None:
+    model = _make_model()
+    request_body = _body(
+        {
+            "model": model.id,
+            "system": [{"type": "text", "text": "be terse" * 50}],
+            "messages": [{"role": "user", "content": "ok"}],
+        }
+    )
+
+    response = count_tokens_locally(request_body, model)
+
+    payload = _read_payload(response)
+    assert payload["input_tokens"] > 0
+
+
+def test_uses_forwarded_model_id_when_present() -> None:
+    model = _make_model("anthropic/claude-3-5-sonnet")
+    model.forwarded_model_id = "claude-3-5-sonnet-20241022"
+    request_body = _body(
+        {
+            "model": "ignored",
+            "messages": [{"role": "user", "content": "hi"}],
+        }
+    )
+
+    captured: dict[str, Any] = {}
+
+    def _capture(model_name: str, body: dict[str, Any]) -> int:
+        captured["model"] = model_name
+        return 7
+
+    with patch.object(count_tokens_module, "_count_with_litellm", side_effect=_capture):
+        response = count_tokens_locally(request_body, model)
+
+    assert captured["model"] == "claude-3-5-sonnet-20241022"
+    assert _read_payload(response)["input_tokens"] == 7

tests/unit/test_litellm_routing.py

@@ -0,0 +1,93 @@
+"""Tests for `routstr.upstream.litellm_routing.detect_litellm_prefix`."""
+
+from __future__ import annotations
+
+import pytest
+
+from routstr.upstream.litellm_routing import detect_litellm_prefix
+
+
+@pytest.mark.parametrize(
+    "base_url,expected",
+    [
+        # The bug case: custom row pointing at Fireworks must NOT route to openai/.
+        ("https://api.fireworks.ai/inference/v1", "fireworks_ai/"),
+        # Other OpenAI-compatible providers commonly plugged into the custom slot.
+        ("https://api.groq.com/openai/v1", "groq/"),
+        ("https://api.x.ai/v1", "xai/"),
+        ("https://api.deepseek.com/v1", "deepseek/"),
+        ("https://api.together.xyz/v1", "together_ai/"),
+        ("https://api.perplexity.ai", "perplexity/"),
+        ("https://openrouter.ai/api/v1", "openrouter/"),
+        ("https://api.mistral.ai/v1", "mistral/"),
+        ("https://codestral.mistral.ai/v1", "codestral/"),
+        ("https://api.cohere.com/v1", "cohere_chat/"),
+        ("https://api.cohere.ai/v1", "cohere_chat/"),
+        ("https://api.deepinfra.com/v1/openai", "deepinfra/"),
+        ("https://api.cerebras.ai/v1", "cerebras/"),
+        ("https://api.sambanova.ai/v1", "sambanova/"),
+        ("https://api.moonshot.cn/v1", "moonshot/"),
+        ("https://api.moonshot.ai/v1", "moonshot/"),
+        ("https://api.studio.nebius.com/v1", "nebius/"),
+        ("https://api.novita.ai/v3/openai", "novita/"),
+        ("https://api.lambda.ai/v1", "lambda_ai/"),
+        ("https://api.aimlapi.com/v1", "aiml/"),
+        ("https://api.featherless.ai/v1", "featherless_ai/"),
+        ("https://integrate.api.nvidia.com/v1", "nvidia_nim/"),
+        ("https://inference.baseten.co/v1", "baseten/"),
+        ("https://ai-gateway.vercel.sh/v1", "vercel_ai_gateway/"),
+        ("https://api.inference.wandb.ai/v1", "wandb/"),
+        ("https://api.poe.com/v1", "poe/"),
+        ("https://llm.chutes.ai/v1/", "chutes/"),
+        ("https://api.v0.dev/v1", "v0/"),
+        ("https://api.hyperbolic.xyz/v1", "hyperbolic/"),
+        ("https://api.synthetic.new/openai/v1", "synthetic/"),
+        ("https://api.stima.tech/v1", "apertis/"),
+        ("https://nano-gpt.com/api/v1", "nano-gpt/"),
+        ("https://api.friendli.ai/serverless/v1", "friendliai/"),
+        ("https://api.galadriel.com/v1", "galadriel/"),
+        ("https://api.llama.com/compat/v1", "meta_llama/"),
+        ("https://api.minimax.io/v1", "minimax/"),
+        ("https://api.minimaxi.com/v1", "minimax/"),
+        ("https://platform.publicai.co/v1", "publicai/"),
+        ("https://inference.api.nscale.com/v1", "nscale/"),
+        ("https://dashscope-intl.aliyuncs.com/compatible-mode/v1", "dashscope/"),
+        ("https://api.endpoints.anyscale.com/v1", "anyscale/"),
+        ("https://api.ai21.com/studio/v1", "ai21_chat/"),
+        ("https://ark.cn-beijing.volces.com/api/v3", "volcengine/"),
+        ("https://api.voyageai.com/v1", "voyage/"),
+        ("https://api.jina.ai/v1", "jina_ai/"),
+        ("https://api.snowflakecomputing.com", "snowflake/"),
+        ("https://my-workspace.databricks.com/serving-endpoints", "databricks/"),
+        ("https://huggingface.co/api/inference", "huggingface/"),
+        # First-class providers — URL detection still produces the right prefix
+        # so subclasses without an explicit override stay correct.
+        ("https://api.openai.com/v1", "openai/"),
+        ("https://api.anthropic.com/v1", "anthropic/"),
+        ("https://generativelanguage.googleapis.com/v1beta/openai", "gemini/"),
+        ("https://us-central1-aiplatform.googleapis.com/v1", "vertex_ai/"),
+        # Azure ordering: must beat api.openai.com.
+        ("https://my-resource.openai.azure.com/openai/deployments/foo", "azure/"),
+        # Ollama hints.
+        ("http://localhost:11434/v1", "ollama_chat/"),
+        ("http://127.0.0.1:11434/v1", "ollama_chat/"),
+        ("http://my-ollama-host:11434/v1", "ollama_chat/"),
+        # Casing and trailing slash normalisation.
+        ("HTTPS://API.FIREWORKS.AI/INFERENCE/V1/", "fireworks_ai/"),
+        # Unknown host falls back to openai/ (still OpenAI-compatible by convention).
+        ("https://example.com/v1", "openai/"),
+        ("", "openai/"),
+    ],
+)
+def test_detect_litellm_prefix(base_url: str, expected: str) -> None:
+    assert detect_litellm_prefix(base_url) == expected
+
+
+def test_detect_litellm_prefix_none_uses_default() -> None:
+    assert detect_litellm_prefix(None) == "openai/"
+
+
+def test_detect_litellm_prefix_custom_default() -> None:
+    assert detect_litellm_prefix("https://example.com", default="anthropic/") == (
+        "anthropic/"
+    )

tests/unit/test_messages_dispatch_cost_accumulation.py

@@ -0,0 +1,333 @@
+"""Tests for cost accumulation in streaming message dispatch.
+
+Verifies that costs are correctly summed across multiple streaming events,
+not taking only the maximum.
+"""
+
+import os
+
+import pytest
+
+os.environ.setdefault("UPSTREAM_BASE_URL", "http://test")
+os.environ.setdefault("UPSTREAM_API_KEY", "test")
+
+from routstr.upstream.messages_dispatch import annotate_event
+
+
+# ============================================================================
+# Test 1: Cost Accumulation via AnnotatedEvent
+# ============================================================================
+@pytest.mark.unit
+def test_annotate_event_extracts_costs() -> None:
+    """Each event should report its own costs."""
+    event = {
+        "type": "content_block_start",
+        "usage": {"total_cost": 0.010, "input_cost": 0.008, "output_cost": 0.002}
+    }
+    result = annotate_event(event, None)
+
+    assert result.total_cost == 0.010
+    assert result.input_cost == 0.008
+    assert result.output_cost == 0.002
+
+
+# ============================================================================
+# Test 2: Multiple Events with Incremental Costs
+# ============================================================================
+@pytest.mark.unit
+def test_multiple_events_sum_costs() -> None:
+    """When processing multiple events, costs should accumulate (not max)."""
+    # Event 1: initial costs
+    event1 = {
+        "type": "message_start",
+        "usage": {"input_tokens": 100, "total_cost": 0.010}
+    }
+    result1 = annotate_event(event1, None)
+
+    # Event 2: additional costs
+    event2 = {
+        "type": "content_block_start",
+        "usage": {"output_tokens": 50, "total_cost": 0.005}
+    }
+    result2 = annotate_event(event2, None)
+
+    # Event 3: more costs
+    event3 = {
+        "type": "message_delta",
+        "usage": {"output_tokens": 25, "total_cost": 0.008}
+    }
+    result3 = annotate_event(event3, None)
+
+    # Each event should report its own cost (before accumulation)
+    assert result1.total_cost == 0.010
+    assert result2.total_cost == 0.005
+    assert result3.total_cost == 0.008
+
+    # When summed for billing: 0.010 + 0.005 + 0.008 = 0.023
+    # This verifies the cost accumulation fix (using += instead of max())
+    total_from_events = result1.total_cost + result2.total_cost + result3.total_cost
+    assert total_from_events == 0.023
+
+
+# ============================================================================
+# Test 3: Token Accumulation Consistency
+# ============================================================================
+@pytest.mark.unit
+def test_tokens_and_costs_extracted_independently() -> None:
+    """Tokens and costs should be extracted independently per event."""
+    event = {
+        "type": "content_block_delta",
+        "usage": {
+            "input_tokens": 100,
+            "output_tokens": 50,
+            "cache_read_input_tokens": 30,
+            "total_cost": 0.007,
+            "input_cost": 0.005,
+            "output_cost": 0.002
+        }
+    }
+    result = annotate_event(event, None)
+
+    # All values should be extracted
+    assert result.input_tokens == 100
+    assert result.output_tokens == 50
+    assert result.cache_read_input_tokens == 30
+    assert result.total_cost == 0.007
+    assert result.input_cost == 0.005
+    assert result.output_cost == 0.002
+
+
+# ============================================================================
+# Test 4: Cost in Message vs Root
+# ============================================================================
+@pytest.mark.unit
+def test_cost_extracted_from_message_usage() -> None:
+    """Costs in message.usage should be extracted correctly."""
+    event = {
+        "type": "message_start",
+        "message": {
+            "usage": {
+                "input_tokens": 100,
+                "total_cost": 0.010,
+                "input_cost": 0.008,
+                "output_cost": 0.002
+            }
+        }
+    }
+    result = annotate_event(event, None)
+
+    assert result.input_tokens == 100
+    assert result.total_cost == 0.010
+    assert result.input_cost == 0.008
+    assert result.output_cost == 0.002
+
+
+# ============================================================================
+# Test 5: Cost at Event Root Level
+# ============================================================================
+@pytest.mark.unit
+def test_cost_extracted_from_event_root() -> None:
+    """Costs at event root should be extracted (OpenRouter style)."""
+    event = {
+        "type": "content_block_delta",
+        "usage": {"output_tokens": 25},
+        "total_cost": 0.005,  # ← At root level
+        "cost": 0.005
+    }
+    result = annotate_event(event, None)
+
+    assert result.output_tokens == 25
+    assert result.total_cost == 0.005
+
+
+# ============================================================================
+# Test 6: Cost Details in Event Root
+# ============================================================================
+@pytest.mark.unit
+def test_cost_details_extracted_from_event_root() -> None:
+    """cost_details at event root should be extracted correctly."""
+    event = {
+        "type": "message_delta",
+        "cost_details": {
+            "total_cost": 0.015,
+            "input_cost": 0.010,
+            "output_cost": 0.005
+        }
+    }
+    result = annotate_event(event, None)
+
+    assert result.total_cost == 0.015
+    assert result.input_cost == 0.010
+    assert result.output_cost == 0.005
+
+
+# ============================================================================
+# Test 7: No Duplicated Dict Lookups
+# ============================================================================
+@pytest.mark.unit
+def test_annotate_event_no_duplicate_lookups() -> None:
+    """Verify that dict lookups are not duplicated (fix for copy-paste error)."""
+    # This is tested implicitly through proper extraction
+    event = {
+        "type": "message_delta",
+        "cost_details": {
+            "total_cost": 0.020,
+            "input_cost": 0.015,
+            "output_cost": 0.005
+        }
+    }
+    result = annotate_event(event, None)
+
+    # Should extract each field exactly once, correctly
+    assert result.total_cost == 0.020
+    assert result.input_cost == 0.015
+    assert result.output_cost == 0.005
+
+
+# ============================================================================
+# Test 8: Model Name Extraction
+# ============================================================================
+@pytest.mark.unit
+def test_model_extracted_from_event() -> None:
+    """Model name should be extracted from event."""
+    event = {
+        "type": "message_start",
+        "message": {"model": "claude-3-5-sonnet"}
+    }
+    result = annotate_event(event, None)
+
+    assert result.model == "claude-3-5-sonnet"
+
+
+# ============================================================================
+# Test 9: Model Name Override
+# ============================================================================
+@pytest.mark.unit
+def test_model_name_override() -> None:
+    """Requested model should override actual model in event."""
+    event = {
+        "type": "message_start",
+        "message": {"model": "actual-model"}
+    }
+    # Override with requested_model
+    result = annotate_event(event, requested_model="alias-model")
+
+    # Event should be modified to use requested_model
+    assert event["message"]["model"] == "alias-model"  # type: ignore[index]
+    assert result.model == "alias-model"
+
+
+# ============================================================================
+# Test 10: SSE Encoding
+# ============================================================================
+@pytest.mark.unit
+def test_sse_bytes_encoded() -> None:
+    """Event should be encoded as SSE bytes."""
+    event = {
+        "type": "content_block_start",
+        "index": 0,
+        "content_block": {"type": "text", "text": ""}
+    }
+    result = annotate_event(event, None)
+
+    assert result.sse_bytes is not None
+    assert isinstance(result.sse_bytes, bytes)
+    assert b"event: content_block_start" in result.sse_bytes or b"data:" in result.sse_bytes
+
+
+# ============================================================================
+# Test 11: Missing Cost Fields Default to Zero
+# ============================================================================
+@pytest.mark.unit
+def test_missing_cost_fields_default_to_zero() -> None:
+    """When cost fields are missing, should default to 0.0."""
+    event = {
+        "type": "content_block_delta",
+        "usage": {"output_tokens": 25}
+        # No cost fields
+    }
+    result = annotate_event(event, None)
+
+    assert result.total_cost == 0.0
+    assert result.input_cost == 0.0
+    assert result.output_cost == 0.0
+
+
+# ============================================================================
+# Test 12: Cache Tokens in Events
+# ============================================================================
+@pytest.mark.unit
+def test_cache_tokens_extracted_from_event() -> None:
+    """Cache tokens should be extracted from event usage."""
+    event = {
+        "type": "message_delta",
+        "usage": {
+            "input_tokens": 100,
+            "output_tokens": 50,
+            "cache_read_input_tokens": 200,
+            "cache_creation_input_tokens": 0
+        }
+    }
+    result = annotate_event(event, None)
+
+    assert result.input_tokens == 100
+    assert result.output_tokens == 50
+    assert result.cache_read_input_tokens == 200
+    assert result.cache_creation_input_tokens == 0
+
+
+# ============================================================================
+# Test 13: Malformed Cost Values
+# ============================================================================
+@pytest.mark.unit
+def test_malformed_cost_values_coerced() -> None:
+    """Malformed cost values should be coerced to 0.0."""
+    event = {
+        "type": "message_delta",
+        "usage": {
+            "input_tokens": 100,
+            "output_tokens": 50,
+            "total_cost": "invalid",  # ← Non-numeric
+        }
+    }
+    result = annotate_event(event, None)
+
+    # Invalid cost should default to 0.0
+    assert result.total_cost == 0.0
+
+
+# ============================================================================
+# Test 14: Negative Cost Values
+# ============================================================================
+@pytest.mark.unit
+def test_negative_cost_values_clamped() -> None:
+    """Negative cost values should be clamped to 0.0."""
+    event = {
+        "type": "message_delta",
+        "usage": {
+            "input_tokens": 100,
+            "output_tokens": 50,
+            "total_cost": -0.05  # ← Negative
+        }
+    }
+    result = annotate_event(event, None)
+
+    # Negative cost should be clamped to 0.0
+    assert result.total_cost == 0.0
+
+
+# ============================================================================
+# Test 15: Streaming Event Type Preserved
+# ============================================================================
+@pytest.mark.unit
+def test_event_type_preserved_in_sse() -> None:
+    """Event type should be preserved in SSE encoding."""
+    event_types = ["message_start", "content_block_start", "content_block_delta", "message_delta"]
+    for event_type in event_types:
+        event = {"type": event_type}
+        result = annotate_event(event, None)
+
+        assert result.event["type"] == event_type  # type: ignore[index]
+        # SSE should include the event type line if present
+        if event_type:
+            assert f"event: {event_type}".encode() in result.sse_bytes

tests/unit/test_models_refresh_loop.py

@@ -0,0 +1,117 @@
+"""Regression tests for the periodic upstream models refresh loop."""
+
+from __future__ import annotations
+
+import asyncio
+import os
+from typing import cast
+from unittest.mock import AsyncMock
+
+import pytest
+
+os.environ.setdefault("UPSTREAM_BASE_URL", "http://test")
+os.environ.setdefault("UPSTREAM_API_KEY", "test")
+
+from routstr.upstream.base import BaseUpstreamProvider  # noqa: E402
+
+
+class _FakeUpstream:
+    """Minimal stand-in for BaseUpstreamProvider used by the refresh loop.
+
+    Only ``base_url`` (for error logging) and ``refresh_models_cache`` (the call
+    under test) are exercised; everything else stays unused.
+    """
+
+    def __init__(self, name: str) -> None:
+        self.base_url = f"http://{name}"
+        self.refresh_models_cache = AsyncMock()
+
+
+def _make_fake_upstream(name: str) -> BaseUpstreamProvider:
+    # The loop only uses duck-typed attributes — cast keeps the test type-clean
+    # without dragging in BaseUpstreamProvider's full constructor.
+    return cast(BaseUpstreamProvider, _FakeUpstream(name))
+
+
+@pytest.mark.asyncio
+async def test_refresh_loop_picks_up_providers_added_after_startup(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    """If a provider is added after the loop starts (e.g. via reinitialize_upstreams),
+    the next loop iteration must refresh it. Previously the loop captured the upstream
+    list at startup and missed any later additions."""
+    from routstr.core.settings import settings as global_settings
+    from routstr.upstream.helpers import refresh_upstreams_models_periodically
+
+    # Tight interval so the test finishes quickly.
+    monkeypatch.setattr(
+        global_settings, "models_refresh_interval_seconds", 1, raising=False
+    )
+
+    initial_upstream = _make_fake_upstream("initial")
+    live_list: list[BaseUpstreamProvider] = [initial_upstream]
+
+    # Stub out the post-iteration sats-pricing refresh so the loop body has no DB deps.
+    async def _noop_pricing_refresh() -> None:  # pragma: no cover - trivial stub
+        return None
+
+    monkeypatch.setattr(
+        "routstr.payment.models._update_sats_pricing_once",
+        _noop_pricing_refresh,
+    )
+
+    task = asyncio.create_task(
+        refresh_upstreams_models_periodically(lambda: live_list)
+    )
+
+    try:
+        # Wait for the first iteration to refresh the initial upstream.
+        for _ in range(40):
+            if initial_upstream.refresh_models_cache.await_count >= 1:  # type: ignore[attr-defined]
+                break
+            await asyncio.sleep(0.05)
+        assert initial_upstream.refresh_models_cache.await_count >= 1, (  # type: ignore[attr-defined]
+            "loop did not refresh the initial upstream within the timeout"
+        )
+
+        # Simulate reinitialize_upstreams: replace the live list contents with new
+        # provider instances. The loop must observe the swap on its next tick.
+        new_upstream = _make_fake_upstream("added-after-startup")
+        live_list[:] = [new_upstream]
+
+        for _ in range(60):
+            if new_upstream.refresh_models_cache.await_count >= 1:  # type: ignore[attr-defined]
+                break
+            await asyncio.sleep(0.05)
+
+        assert new_upstream.refresh_models_cache.await_count >= 1, (  # type: ignore[attr-defined]
+            "loop did not refresh the upstream added after startup — "
+            "regression: list snapshot captured at startup"
+        )
+    finally:
+        task.cancel()
+        try:
+            await task
+        except asyncio.CancelledError:
+            pass
+
+
+@pytest.mark.asyncio
+async def test_refresh_loop_disabled_when_interval_non_positive(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    from routstr.core.settings import settings as global_settings
+    from routstr.upstream.helpers import refresh_upstreams_models_periodically
+
+    monkeypatch.setattr(
+        global_settings, "models_refresh_interval_seconds", 0, raising=False
+    )
+
+    upstream = _make_fake_upstream("never-refreshed")
+
+    # Loop must return immediately without ever touching the upstream.
+    await asyncio.wait_for(
+        refresh_upstreams_models_periodically(lambda: [upstream]),
+        timeout=1.0,
+    )
+    upstream.refresh_models_cache.assert_not_awaited()  # type: ignore[attr-defined]

tests/unit/test_provider_field_injection.py

@@ -0,0 +1,105 @@
+from routstr.upstream.anthropic import AnthropicUpstreamProvider
+from routstr.upstream.base import BaseUpstreamProvider
+from routstr.upstream.openrouter import OpenRouterUpstreamProvider
+
+
+def _make_provider(cls: type, provider_type: str) -> BaseUpstreamProvider:
+    p = cls(api_key="test_key")
+    assert p.provider_type == provider_type
+    return p
+
+
+def test_apply_provider_field_direct_upstream() -> None:
+    """For a direct upstream (no upstream-reported provider), the field
+    is just the provider_type string."""
+    p = _make_provider(AnthropicUpstreamProvider, "anthropic")
+    data: dict = {"id": "msg_1", "model": "claude-3-5-sonnet"}
+    p._apply_provider_field(data)
+    assert data["provider"] == "anthropic"
+
+
+def test_apply_provider_field_openrouter_passthrough() -> None:
+    """OpenRouter responses include an upstream ``provider`` string —
+    routstr should prefix with its own provider_type."""
+    p = _make_provider(OpenRouterUpstreamProvider, "openrouter")
+    data: dict = {
+        "id": "gen-abc",
+        "model": "anthropic/claude-3.5-sonnet",
+        "provider": "Anthropic",
+    }
+    p._apply_provider_field(data)
+    assert data["provider"] == "openrouter:Anthropic"
+
+
+def test_apply_provider_field_openrouter_no_upstream_provider() -> None:
+    """If OpenRouter omits the provider field, fall back to provider_type."""
+    p = _make_provider(OpenRouterUpstreamProvider, "openrouter")
+    data: dict = {"id": "gen-abc"}
+    p._apply_provider_field(data)
+    assert data["provider"] == "openrouter"
+
+
+def test_apply_provider_field_strips_whitespace() -> None:
+    p = _make_provider(OpenRouterUpstreamProvider, "openrouter")
+    data: dict = {"provider": "  Fireworks  "}
+    p._apply_provider_field(data)
+    assert data["provider"] == "openrouter:Fireworks"
+
+
+def test_apply_provider_field_blank_upstream_treated_as_missing() -> None:
+    p = _make_provider(OpenRouterUpstreamProvider, "openrouter")
+    data: dict = {"provider": "   "}
+    p._apply_provider_field(data)
+    assert data["provider"] == "openrouter"
+
+
+def test_apply_provider_field_non_string_upstream_treated_as_missing() -> None:
+    p = _make_provider(OpenRouterUpstreamProvider, "openrouter")
+    data: dict = {"provider": 42}
+    p._apply_provider_field(data)
+    assert data["provider"] == "openrouter"
+
+
+def test_apply_provider_field_idempotent_for_direct_upstream() -> None:
+    """Calling twice on a direct upstream payload should keep the same
+    value, not nest the prefix repeatedly."""
+    p = _make_provider(AnthropicUpstreamProvider, "anthropic")
+    data: dict = {}
+    p._apply_provider_field(data)
+    p._apply_provider_field(data)
+    assert data["provider"] == "anthropic:anthropic"
+    # Document current (deliberate) behavior: second pass treats the
+    # first-pass value as an upstream-reported provider. Callers should
+    # only invoke this once per chunk — guarded via the
+    # ``"provider" not in data`` checks in streaming paths.
+
+
+def test_apply_provider_field_ignores_non_dict() -> None:
+    """Lists / primitives must be skipped silently."""
+    p = _make_provider(AnthropicUpstreamProvider, "anthropic")
+    # Should not raise.
+    p._apply_provider_field([1, 2, 3])  # type: ignore[arg-type]
+    p._apply_provider_field("hello")  # type: ignore[arg-type]
+    p._apply_provider_field(None)  # type: ignore[arg-type]
+
+
+def test_inject_cost_metadata_sets_provider() -> None:
+    """``inject_cost_metadata`` is the unified injection point and must
+    also stamp the provider field."""
+    from unittest.mock import MagicMock
+
+    from routstr.core.db import ApiKey
+
+    p = _make_provider(OpenRouterUpstreamProvider, "openrouter")
+    key = MagicMock(spec=ApiKey)
+    key.balance = 1000
+
+    response_json: dict = {
+        "model": "anthropic/claude-3.5-sonnet",
+        "provider": "Anthropic",
+        "usage": {"prompt_tokens": 10, "completion_tokens": 5},
+    }
+    cost_data = {"total_msats": 2500, "total_usd": 0.0025}
+    p.inject_cost_metadata(response_json, cost_data, key)
+
+    assert response_json["provider"] == "openrouter:Anthropic"

tests/unit/test_proxy_not_found.py

@@ -0,0 +1,70 @@
+"""Tests for the app-level 404 handler in routstr.core.main."""
+
+from __future__ import annotations
+
+import pytest
+from fastapi import FastAPI
+from fastapi.testclient import TestClient
+
+from routstr.core import main as core_main
+
+
+def _make_app() -> FastAPI:
+    app = FastAPI()
+    app.add_api_route(
+        "/{path:path}",
+        core_main.not_found_catch_all,
+        methods=["GET", "POST"],
+        include_in_schema=False,
+    )
+    return app
+
+
+@pytest.mark.skipif(
+    core_main._NOT_FOUND_HTML is None,
+    reason="UI bundle (ui_out/404.html) not present in this environment",
+)
+def test_unknown_path_returns_html_404_for_browser() -> None:
+    client = TestClient(_make_app())
+    response = client.get("/some/random/page", headers={"accept": "text/html"})
+    assert response.status_code == 404
+    assert response.headers["content-type"].startswith("text/html")
+    assert "404" in response.text
+
+
+def test_unknown_path_returns_json_404_for_api_client() -> None:
+    client = TestClient(_make_app())
+    response = client.get(
+        "/some/random/page", headers={"accept": "application/json"}
+    )
+    assert response.status_code == 404
+    assert response.headers["content-type"].startswith("application/json")
+    payload = response.json()
+    assert payload["error"]["type"] == "not_found"
+    assert payload["error"]["code"] == 404
+    assert "/some/random/page" in payload["error"]["message"]
+
+
+def test_root_path_returns_404() -> None:
+    client = TestClient(_make_app())
+    response = client.get("/", headers={"accept": "application/json"})
+    assert response.status_code == 404
+
+
+def test_json_returned_when_ui_html_missing(monkeypatch: pytest.MonkeyPatch) -> None:
+    from routstr.core import not_found as nf
+
+    monkeypatch.setattr(nf, "_NOT_FOUND_HTML", None)
+    client = TestClient(_make_app())
+    response = client.get("/some/random/page", headers={"accept": "text/html"})
+    assert response.status_code == 404
+    assert response.headers["content-type"].startswith("application/json")
+
+
+def test_post_unknown_path_returns_json_even_for_browser() -> None:
+    client = TestClient(_make_app())
+    response = client.post("/some/random/page", headers={"accept": "text/html"})
+    assert response.status_code == 404
+    assert response.headers["content-type"].startswith("application/json")
+    payload = response.json()
+    assert payload["error"]["type"] == "not_found"

tests/unit/test_settings.py

@@ -1,11 +1,12 @@
 import os
 
 import pytest
+from pydantic.v1 import ValidationError
 from sqlalchemy.ext.asyncio import create_async_engine
 from sqlmodel import text
 from sqlmodel.ext.asyncio.session import AsyncSession
 
-from routstr.core.settings import SettingsService
+from routstr.core.settings import Settings, SettingsService
 
 
 @pytest.mark.asyncio
@@ -46,6 +47,54 @@ async def test_settings_db_precedence_over_env() -> None:
         assert again.enable_analytics_sharing is False
 
 
+def test_payout_settings_have_sensible_defaults() -> None:
+    s = Settings()
+    assert s.min_payout_sat == 210
+    assert s.payout_interval_seconds == 900
+
+
+@pytest.mark.parametrize(
+    "field,bad_value",
+    [
+        ("min_payout_sat", 0),
+        ("min_payout_sat", -1),
+        ("payout_interval_seconds", 0),
+        ("payout_interval_seconds", -10),
+    ],
+)
+def test_payout_settings_reject_invalid_values(field: str, bad_value: int) -> None:
+    kwargs: dict[str, object] = {field: bad_value}
+    with pytest.raises(ValidationError):
+        Settings(**kwargs)  # type: ignore[arg-type]
+
+
+def test_payout_settings_accept_custom_positive_values() -> None:
+    s = Settings(min_payout_sat=500, payout_interval_seconds=60)
+    assert s.min_payout_sat == 500
+    assert s.payout_interval_seconds == 60
+
+
+@pytest.mark.asyncio
+async def test_payout_settings_persist_via_settings_service() -> None:
+    engine = create_async_engine("sqlite+aiosqlite:///:memory:")
+    async with AsyncSession(engine, expire_on_commit=False) as session:
+        await SettingsService.initialize(session)
+        updated = await SettingsService.update(
+            {"min_payout_sat": 1000, "payout_interval_seconds": 300}, session
+        )
+        assert updated.min_payout_sat == 1000
+        assert updated.payout_interval_seconds == 300
+
+
+@pytest.mark.asyncio
+async def test_payout_settings_update_rejects_invalid() -> None:
+    engine = create_async_engine("sqlite+aiosqlite:///:memory:")
+    async with AsyncSession(engine, expire_on_commit=False) as session:
+        await SettingsService.initialize(session)
+        with pytest.raises(ValidationError):
+            await SettingsService.update({"min_payout_sat": 0}, session)
+
+
 @pytest.mark.asyncio
 async def test_settings_initialize_discards_unknown_keys() -> None:
     engine = create_async_engine("sqlite+aiosqlite:///:memory:")

tests/unit/test_stream_id_injection.py

@@ -51,7 +51,15 @@ async def test_stream_with_id_injection() -> None:
         base.adjust_payment_for_tokens = AsyncMock(
             return_value={"total_usd": 0.1, "total_msats": 100}
         )
-        base.create_session = MagicMock()
+        # create_session() is used as an async context manager whose entered
+        # value exposes an awaitable .get(). Build a mock that behaves that
+        # way so the post-stream cost-chunk emission can run.
+        mock_session = MagicMock()
+        mock_session.get = AsyncMock(return_value=key)
+        mock_ctx = MagicMock()
+        mock_ctx.__aenter__ = AsyncMock(return_value=mock_session)
+        mock_ctx.__aexit__ = AsyncMock(return_value=None)
+        base.create_session = MagicMock(return_value=mock_ctx)
 
         streaming_response = await provider.handle_streaming_chat_completion(
             response=mock_response,

tests/unit/test_upstream_error_response.py

@@ -0,0 +1,150 @@
+"""Tests for ``BaseUpstreamProvider.forward_upstream_error_response``.
+
+Upstream services (e.g. an Express server that doesn't expose ``/messages``)
+sometimes return a non-JSON error body. The proxy must surface those errors
+in a consistent JSON envelope so clients don't have to parse HTML.
+"""
+
+from __future__ import annotations
+
+import json
+from typing import Any
+from unittest.mock import Mock
+
+import httpx
+import pytest
+
+from routstr.upstream.base import BaseUpstreamProvider, _is_json_content_type
+
+
+def _make_request(request_id: str = "req-123") -> Mock:
+    request = Mock(spec=["method", "state"])
+    request.method = "POST"
+    request.state = Mock()
+    request.state.request_id = request_id
+    return request
+
+
+def _make_upstream_response(
+    *,
+    body: bytes,
+    status_code: int = 404,
+    content_type: str | None = "text/html",
+    extra_headers: dict[str, str] | None = None,
+) -> httpx.Response:
+    headers: dict[str, str] = {}
+    if content_type is not None:
+        headers["content-type"] = content_type
+    if extra_headers:
+        headers.update(extra_headers)
+    return httpx.Response(status_code=status_code, headers=headers, content=body)
+
+
+@pytest.fixture
+def provider() -> BaseUpstreamProvider:
+    return BaseUpstreamProvider(
+        base_url="https://privateprovider.xyz", api_key="k", provider_fee=1.0
+    )
+
+
+@pytest.mark.parametrize(
+    "content_type,expected",
+    [
+        ("application/json", True),
+        ("application/json; charset=utf-8", True),
+        ("text/json", True),
+        ("application/problem+json", True),
+        ("application/vnd.api+json", True),
+        ("text/html", False),
+        ("text/html; charset=utf-8", False),
+        ("text/plain", False),
+        ("", False),
+        (None, False),
+    ],
+)
+def test_is_json_content_type(content_type: str | None, expected: bool) -> None:
+    assert _is_json_content_type(content_type) is expected
+
+
+@pytest.mark.asyncio
+async def test_html_error_is_normalized_to_json_envelope(
+    provider: BaseUpstreamProvider,
+) -> None:
+    html_body = (
+        b"<!DOCTYPE html><html><head><title>Error</title></head>"
+        b"<body><pre>Cannot POST /messages</pre></body></html>"
+    )
+    upstream = _make_upstream_response(body=html_body, status_code=404)
+
+    response = await provider.forward_upstream_error_response(
+        _make_request(), "v1/messages", upstream
+    )
+
+    assert response.status_code == 404
+    assert response.media_type == "application/json"
+    payload: dict[str, Any] = json.loads(bytes(response.body))
+    assert payload["error"]["type"] == "upstream_error"
+    assert payload["error"]["upstream_status"] == 404
+    assert payload["error"]["upstream_content_type"] == "text/html"
+    assert "Cannot POST /messages" in payload["error"]["upstream_body_preview"]
+    assert payload["request_id"] == "req-123"
+    # The upstream's text/html content-type must not survive — Response()
+    # sets the JSON content-type for us via media_type.
+    assert response.headers["content-type"].startswith("application/json")
+
+
+@pytest.mark.asyncio
+async def test_plain_text_error_is_normalized(
+    provider: BaseUpstreamProvider,
+) -> None:
+    upstream = _make_upstream_response(
+        body=b"Service Unavailable", status_code=503, content_type="text/plain"
+    )
+
+    response = await provider.forward_upstream_error_response(
+        _make_request(), "v1/messages", upstream
+    )
+
+    assert response.status_code == 503
+    assert response.media_type == "application/json"
+    payload = json.loads(bytes(response.body))
+    assert payload["error"]["message"] == "Service Unavailable"
+
+
+@pytest.mark.asyncio
+async def test_empty_body_with_non_json_content_type_normalizes(
+    provider: BaseUpstreamProvider,
+) -> None:
+    upstream = _make_upstream_response(
+        body=b"", status_code=502, content_type="text/html"
+    )
+
+    response = await provider.forward_upstream_error_response(
+        _make_request(), "v1/messages", upstream
+    )
+
+    assert response.status_code == 502
+    assert response.media_type == "application/json"
+    payload = json.loads(bytes(response.body))
+    assert payload["error"]["type"] == "upstream_error"
+    assert payload["error"]["upstream_body_preview"] is None
+
+
+@pytest.mark.asyncio
+async def test_json_error_body_is_passed_through_unchanged(
+    provider: BaseUpstreamProvider,
+) -> None:
+    json_body = json.dumps(
+        {"error": {"message": "Invalid model", "type": "invalid_request_error"}}
+    ).encode()
+    upstream = _make_upstream_response(
+        body=json_body, status_code=400, content_type="application/json"
+    )
+
+    response = await provider.forward_upstream_error_response(
+        _make_request(), "v1/messages", upstream
+    )
+
+    assert response.status_code == 400
+    assert bytes(response.body) == json_body
+    assert response.media_type == "application/json"

tests/unit/test_upstream_gemini.py

@@ -0,0 +1,313 @@
+"""Unit tests for the Gemini /v1/messages dispatch path.
+
+The Gemini upstream needs special handling because its OpenAI-compat
+surface rejects inbound ``functionCall`` parts that lack a
+``thought_signature``. We bypass litellm + openai SDK at the wire layer
+(see ``routstr/upstream/gemini_messages.py``) so we can inject Google's
+documented dummy signature (``"skip_thought_signature_validator"``).
+
+These tests cover the two pure helpers that drive the dispatcher:
+
+* ``inject_thought_signatures`` — request-side injection
+* ``_openai_chunks_to_anthropic_events`` — response-side translator
+"""
+
+from __future__ import annotations
+
+import json
+from collections.abc import AsyncGenerator
+from typing import Any
+
+import pytest
+
+from routstr.upstream.gemini_messages import (
+    DUMMY_THOUGHT_SIGNATURE,
+    _openai_chunks_to_anthropic_events,
+    inject_thought_signatures,
+)
+
+# ---------------------------------------------------------------------------
+# inject_thought_signatures
+# ---------------------------------------------------------------------------
+
+
+def test_inject_thought_signatures_adds_dummy_to_each_tool_call() -> None:
+    messages: list[dict[str, Any]] = [
+        {"role": "user", "content": "do thing"},
+        {
+            "role": "assistant",
+            "tool_calls": [
+                {
+                    "id": "toolu_1",
+                    "type": "function",
+                    "function": {"name": "Bash", "arguments": "{}"},
+                },
+                {
+                    "id": "toolu_2",
+                    "type": "function",
+                    "function": {"name": "Read", "arguments": "{}"},
+                },
+            ],
+        },
+    ]
+
+    inject_thought_signatures(messages)
+
+    for tc in messages[1]["tool_calls"]:
+        assert (
+            tc["extra_content"]["google"]["thought_signature"]
+            == DUMMY_THOUGHT_SIGNATURE
+        )
+
+
+def test_inject_thought_signatures_preserves_existing_signature() -> None:
+    """Don't clobber a real signature that came back from a prior turn."""
+    messages: list[dict[str, Any]] = [
+        {
+            "role": "assistant",
+            "tool_calls": [
+                {
+                    "id": "tc1",
+                    "type": "function",
+                    "function": {"name": "fn", "arguments": "{}"},
+                    "extra_content": {
+                        "google": {"thought_signature": "real-signature"}
+                    },
+                }
+            ],
+        }
+    ]
+
+    inject_thought_signatures(messages)
+
+    assert (
+        messages[0]["tool_calls"][0]["extra_content"]["google"][
+            "thought_signature"
+        ]
+        == "real-signature"
+    )
+
+
+def test_inject_thought_signatures_skips_messages_without_tool_calls() -> None:
+    messages: list[dict[str, Any]] = [
+        {"role": "user", "content": "hi"},
+        {"role": "assistant", "content": "hello"},
+    ]
+
+    inject_thought_signatures(messages)
+
+    for m in messages:
+        assert "extra_content" not in m
+
+
+def test_inject_thought_signatures_handles_malformed_extra_content() -> None:
+    """If a caller already set ``extra_content`` to a non-dict (defensive),
+    we replace it instead of crashing."""
+    messages: list[dict[str, Any]] = [
+        {
+            "role": "assistant",
+            "tool_calls": [
+                {
+                    "id": "tc",
+                    "type": "function",
+                    "function": {"name": "fn", "arguments": "{}"},
+                    "extra_content": "garbage",
+                }
+            ],
+        }
+    ]
+
+    inject_thought_signatures(messages)
+
+    extra = messages[0]["tool_calls"][0]["extra_content"]
+    assert isinstance(extra, dict)
+    assert extra["google"]["thought_signature"] == DUMMY_THOUGHT_SIGNATURE
+
+
+# ---------------------------------------------------------------------------
+# _openai_chunks_to_anthropic_events
+# ---------------------------------------------------------------------------
+
+
+async def _lines(*chunks: dict | str) -> AsyncGenerator[str, None]:
+    """Helper to wrap chunk dicts as SSE-style ``data:`` lines."""
+    for c in chunks:
+        if isinstance(c, dict):
+            yield f"data: {json.dumps(c)}"
+        else:
+            yield c
+
+
+def _parse_anthropic_sse(blocks: list[bytes]) -> list[dict]:
+    """Flatten a list of Anthropic SSE byte chunks into event dicts."""
+    events: list[dict] = []
+    for blob in blocks:
+        text = blob.decode()
+        for entry in text.split("\n\n"):
+            for line in entry.splitlines():
+                if line.startswith("data:"):
+                    events.append(json.loads(line[5:].lstrip()))
+    return events
+
+
+@pytest.mark.asyncio
+async def test_translator_emits_text_only_response() -> None:
+    """Plain text response: message_start → content_block_* (text) →
+    message_delta(end_turn) → message_stop."""
+    chunks: list[dict] = [
+        {
+            "id": "chatcmpl-1",
+            "model": "gemini-2.5-flash",
+            "choices": [{"index": 0, "delta": {"role": "assistant"}}],
+        },
+        {"choices": [{"delta": {"content": "Hello"}}]},
+        {"choices": [{"delta": {"content": ", world"}}]},
+        {
+            "choices": [{"delta": {}, "finish_reason": "stop"}],
+            "usage": {"prompt_tokens": 5, "completion_tokens": 7},
+        },
+    ]
+
+    out = []
+    async for event_bytes in _openai_chunks_to_anthropic_events(
+        _lines(*chunks), requested_model="gemini-2.5-flash"
+    ):
+        out.append(event_bytes)
+
+    events = _parse_anthropic_sse(out)
+    types = [e["type"] for e in events]
+    assert types == [
+        "message_start",
+        "content_block_start",
+        "content_block_delta",
+        "content_block_delta",
+        "content_block_stop",
+        "message_delta",
+        "message_stop",
+    ]
+    # Text deltas concatenate to "Hello, world".
+    text_deltas = [
+        e["delta"]["text"]
+        for e in events
+        if e["type"] == "content_block_delta"
+    ]
+    assert "".join(text_deltas) == "Hello, world"
+    # Stop reason was mapped from openai's "stop".
+    msg_delta = next(e for e in events if e["type"] == "message_delta")
+    assert msg_delta["delta"]["stop_reason"] == "end_turn"
+    assert msg_delta["usage"]["input_tokens"] == 5
+    assert msg_delta["usage"]["output_tokens"] == 7
+
+
+@pytest.mark.asyncio
+async def test_translator_emits_tool_use_block() -> None:
+    """tool_calls split across deltas → tool_use content block with
+    accumulated input_json_delta and stop_reason='tool_use'."""
+    chunks: list[dict] = [
+        {
+            "id": "chatcmpl-2",
+            "model": "gemini-2.5-flash",
+            "choices": [{"delta": {"role": "assistant"}}],
+        },
+        {
+            "choices": [
+                {
+                    "delta": {
+                        "tool_calls": [
+                            {
+                                "index": 0,
+                                "id": "call-abc",
+                                "type": "function",
+                                "function": {
+                                    "name": "Bash",
+                                    "arguments": '{"cmd":',
+                                },
+                            }
+                        ]
+                    }
+                }
+            ]
+        },
+        {
+            "choices": [
+                {
+                    "delta": {
+                        "tool_calls": [
+                            {
+                                "index": 0,
+                                "function": {"arguments": ' "ls"}'},
+                            }
+                        ]
+                    }
+                }
+            ]
+        },
+        {"choices": [{"delta": {}, "finish_reason": "tool_calls"}]},
+    ]
+
+    out = []
+    async for event_bytes in _openai_chunks_to_anthropic_events(
+        _lines(*chunks), requested_model="gemini-2.5-flash"
+    ):
+        out.append(event_bytes)
+
+    events = _parse_anthropic_sse(out)
+    types = [e["type"] for e in events]
+    assert types == [
+        "message_start",
+        "content_block_start",
+        "content_block_delta",
+        "content_block_delta",
+        "content_block_stop",
+        "message_delta",
+        "message_stop",
+    ]
+    # Tool use block was opened with the right name.
+    cb_start = next(e for e in events if e["type"] == "content_block_start")
+    assert cb_start["content_block"]["type"] == "tool_use"
+    assert cb_start["content_block"]["name"] == "Bash"
+    assert cb_start["content_block"]["id"] == "call-abc"
+    # Argument deltas were forwarded as input_json_delta partials.
+    deltas = [e for e in events if e["type"] == "content_block_delta"]
+    assert all(d["delta"]["type"] == "input_json_delta" for d in deltas)
+    assert "".join(d["delta"]["partial_json"] for d in deltas) == (
+        '{"cmd": "ls"}'
+    )
+    # tool_calls finish_reason → tool_use stop_reason.
+    msg_delta = next(e for e in events if e["type"] == "message_delta")
+    assert msg_delta["delta"]["stop_reason"] == "tool_use"
+
+
+@pytest.mark.asyncio
+async def test_translator_handles_done_sentinel_and_blank_lines() -> None:
+    """Spec edge cases from openai SSE: ``data: [DONE]``, blank lines,
+    invalid JSON. Translator should skip them gracefully."""
+    chunks: list[dict | str] = [
+        {
+            "id": "x",
+            "model": "m",
+            "choices": [{"delta": {"role": "assistant"}}],
+        },
+        {"choices": [{"delta": {"content": "ok"}}]},
+        "",
+        ": comment",
+        "data: not-json",
+        "data: [DONE]",
+        {"choices": [{"delta": {}, "finish_reason": "stop"}]},
+    ]
+
+    out = []
+    async for event_bytes in _openai_chunks_to_anthropic_events(
+        _lines(*chunks), requested_model=None
+    ):
+        out.append(event_bytes)
+
+    events = _parse_anthropic_sse(out)
+    assert events[0]["type"] == "message_start"
+    assert events[-1]["type"] == "message_stop"
+    text = "".join(
+        e["delta"]["text"]
+        for e in events
+        if e["type"] == "content_block_delta"
+    )
+    assert text == "ok"

tests/unit/test_upstream_routstr.py

@@ -74,3 +74,39 @@ async def test_get_balance_returns_none_on_connect_timeout(
     balance = await provider.get_balance()
 
     assert balance is None
+
+
+def test_normalize_request_path_keeps_v1_prefix() -> None:
+    """Routstr upstream stores ``base_url`` without ``/v1``; the prefix
+    must stay on the path so ``build_request_url`` produces ``/v1/<endpoint>``
+    instead of ``/<endpoint>`` (which the upstream Routstr 404s with HTML)."""
+    provider = RoutstrUpstreamProvider(
+        base_url="https://privateprovider.xyz", api_key="key"
+    )
+
+    assert provider.normalize_request_path("v1/messages") == "v1/messages"
+    assert provider.normalize_request_path("/v1/messages") == "v1/messages"
+    assert (
+        provider.normalize_request_path("v1/chat/completions")
+        == "v1/chat/completions"
+    )
+
+
+def test_build_request_url_for_v1_messages() -> None:
+    """Forwarding ``/v1/messages`` must hit the upstream's ``/v1/messages``."""
+    provider = RoutstrUpstreamProvider(
+        base_url="https://privateprovider.xyz", api_key="key"
+    )
+
+    normalized = provider.normalize_request_path("v1/messages")
+
+    assert (
+        provider.build_request_url(normalized)
+        == "https://privateprovider.xyz/v1/messages"
+    )
+
+
+def test_supports_anthropic_messages_natively() -> None:
+    """Routstr nodes serve ``/v1/messages`` directly, so the proxy must
+    forward as-is instead of round-tripping through litellm."""
+    assert RoutstrUpstreamProvider.supports_anthropic_messages is True

tests/unit/test_wallet.py

@@ -123,6 +123,7 @@ async def test_swap_to_primary_mint_insufficient_for_fees() -> None:
     mock_token_wallet = Mock()
     mock_token_wallet.load_mint = AsyncMock()
     mock_token_wallet.load_proofs = AsyncMock()
+    mock_token_wallet.get_fees_for_proofs = Mock(return_value=0)
 
     mock_primary_wallet = Mock()
     mock_primary_wallet.load_mint = AsyncMock()
@@ -166,6 +167,7 @@ async def test_swap_to_primary_mint_melt_error_wrapped() -> None:
     mock_token_wallet = Mock()
     mock_token_wallet.load_mint = AsyncMock()
     mock_token_wallet.load_proofs = AsyncMock()
+    mock_token_wallet.get_fees_for_proofs = Mock(return_value=0)
 
     mock_primary_wallet = Mock()
     mock_primary_wallet.load_mint = AsyncMock()
@@ -261,6 +263,7 @@ async def test_swap_to_primary_mint_success() -> None:
     mock_token_wallet = Mock()
     mock_token_wallet.load_mint = AsyncMock()
     mock_token_wallet.load_proofs = AsyncMock()
+    mock_token_wallet.get_fees_for_proofs = Mock(return_value=0)
 
     mock_primary_wallet = Mock()
     mock_primary_wallet.load_mint = AsyncMock()

ui/app/logs/log-details-dialog.tsx

@@ -71,8 +71,8 @@ export function LogDetailsDialog({
           <div className='space-y-6'>
             <div>
               <h4 className='mb-2 text-sm font-medium'>Message</h4>
-              <div className='bg-muted max-h-48 overflow-auto rounded-md p-3'>
-                <pre className='font-mono text-sm break-all whitespace-pre'>
+              <div className='bg-muted max-h-96 overflow-auto rounded-md p-3'>
+                <pre className='font-mono text-sm break-words whitespace-pre-wrap'>
                   {log.message}
                 </pre>
               </div>
@@ -113,8 +113,8 @@ export function LogDetailsDialog({
                         </Button>
                       )}
                     </div>
-                    <div className='bg-muted max-h-32 overflow-auto rounded p-2'>
-                      <pre className='font-mono text-sm break-all whitespace-pre-wrap'>
+                    <div className='bg-muted max-h-64 overflow-auto rounded p-2'>
+                      <pre className='font-mono text-sm break-words whitespace-pre-wrap'>
                         {String(log[field as keyof LogEntry] || 'N/A')}
                       </pre>
                     </div>
@@ -132,13 +132,13 @@ export function LogDetailsDialog({
                       <span className='text-muted-foreground truncate text-xs font-medium uppercase'>
                         {field}
                       </span>
-                      <div className='bg-muted max-h-48 overflow-auto rounded p-2'>
+                      <div className='bg-muted max-h-80 overflow-auto rounded p-2'>
                         {typeof log[field] === 'object' ? (
-                          <pre className='font-mono text-xs break-all whitespace-pre-wrap'>
+                          <pre className='font-mono text-xs break-words whitespace-pre-wrap'>
                             {JSON.stringify(log[field], null, 2)}
                           </pre>
                         ) : (
-                          <pre className='font-mono text-sm break-all whitespace-pre-wrap'>
+                          <pre className='font-mono text-sm break-words whitespace-pre-wrap'>
                             {String(log[field] || 'N/A')}
                           </pre>
                         )}
@@ -173,8 +173,8 @@ export function LogDetailsDialog({
                   )}
                 </Button>
               </div>
-              <div className='bg-muted max-h-64 overflow-auto rounded-md p-4'>
-                <pre className='text-xs break-all whitespace-pre-wrap'>
+              <div className='bg-muted max-h-[32rem] overflow-auto rounded-md p-4'>
+                <pre className='text-xs break-words whitespace-pre-wrap'>
                   {JSON.stringify(log, null, 2)}
                 </pre>
               </div>

ui/app/settings/page.tsx

@@ -4,6 +4,7 @@ import * as React from 'react';
 import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
 import { ServerConfigSettings } from '@/components/settings/server-config-settings';
 import { AdminSettings } from '@/components/settings/admin-settings';
+import { CliTokensSettings } from '@/components/settings/cli-tokens-settings';
 import { AppPageShell } from '@/components/app-page-shell';
 import { PageHeader } from '@/components/page-header';
 
@@ -19,6 +20,7 @@ export default function SettingsPage() {
           <TabsList variant='line' className='mb-4 w-full'>
             <TabsTrigger value='admin'>Admin Settings</TabsTrigger>
             <TabsTrigger value='server'>Server Config</TabsTrigger>
+            <TabsTrigger value='cli-tokens'>CLI Tokens</TabsTrigger>
           </TabsList>
           <TabsContent value='server'>
             <ServerConfigSettings />
@@ -26,6 +28,9 @@ export default function SettingsPage() {
           <TabsContent value='admin'>
             <AdminSettings />
           </TabsContent>
+          <TabsContent value='cli-tokens'>
+            <CliTokensSettings />
+          </TabsContent>
         </Tabs>
       </div>
     </AppPageShell>

ui/app/transactions/page.tsx

@@ -53,7 +53,11 @@ import {
   ChevronLeft,
   ChevronRight,
 } from 'lucide-react';
-import { AdminService, type Transaction } from '@/lib/api/services/admin';
+import {
+  AdminService,
+  type Transaction,
+  type LightningInvoice,
+} from '@/lib/api/services/admin';
 import { format } from 'date-fns';
 import { toast } from 'sonner';
 
@@ -200,6 +204,172 @@ function TransactionTable({
   );
 }
 
+function LightningInvoiceTable({
+  invoices,
+  copiedId,
+  onCopy,
+}: {
+  invoices: LightningInvoice[];
+  copiedId: string | null;
+  onCopy: (text: string, id: string) => void;
+}) {
+  if (invoices.length === 0) {
+    return (
+      <Empty className='py-8'>
+        <EmptyHeader>
+          <EmptyMedia variant='icon'>
+            <Zap className='h-4 w-4' />
+          </EmptyMedia>
+          <EmptyTitle>No invoices found</EmptyTitle>
+          <EmptyDescription>
+            Lightning invoices created via /lightning/invoice will show here.
+          </EmptyDescription>
+        </EmptyHeader>
+      </Empty>
+    );
+  }
+
+  const statusBadge = (status: LightningInvoice['status']) => {
+    if (status === 'paid')
+      return (
+        <Badge
+          variant='outline'
+          className='border-green-500/20 bg-green-500/10 text-green-500'
+        >
+          Paid
+        </Badge>
+      );
+    if (status === 'expired')
+      return (
+        <Badge
+          variant='outline'
+          className='border-red-500/20 bg-red-500/10 text-red-500'
+        >
+          Expired
+        </Badge>
+      );
+    if (status === 'cancelled')
+      return (
+        <Badge
+          variant='outline'
+          className='border-gray-500/20 bg-gray-500/10 text-gray-500'
+        >
+          Cancelled
+        </Badge>
+      );
+    return (
+      <Badge
+        variant='outline'
+        className='border-blue-500/20 bg-blue-500/10 text-blue-500'
+      >
+        Pending
+      </Badge>
+    );
+  };
+
+  return (
+    <ScrollArea className='h-[55svh] min-h-[420px] w-full sm:h-[600px]'>
+      <div className='min-w-[900px]'>
+        <Table>
+          <TableHeader>
+            <TableRow>
+              <TableHead>Purpose</TableHead>
+              <TableHead>Amount</TableHead>
+              <TableHead>Status</TableHead>
+              <TableHead>API Key</TableHead>
+              <TableHead>Payment Hash</TableHead>
+              <TableHead>Created</TableHead>
+              <TableHead>Paid</TableHead>
+              <TableHead className='text-right'>Actions</TableHead>
+            </TableRow>
+          </TableHeader>
+          <TableBody>
+            {invoices.map((inv) => (
+              <TableRow key={inv.id}>
+                <TableCell>
+                  <span className='capitalize'>{inv.purpose}</span>
+                </TableCell>
+                <TableCell className='font-mono'>
+                  {inv.amount_sats} sat
+                </TableCell>
+                <TableCell>{statusBadge(inv.status)}</TableCell>
+                <TableCell>
+                  {inv.api_key_hash ? (
+                    <div className='flex items-center gap-1 text-xs'>
+                      <span className='max-w-[120px] truncate font-mono'>
+                        {inv.api_key_hash.slice(0, 12)}...
+                      </span>
+                      <Button
+                        variant='ghost'
+                        size='icon'
+                        className='h-4 w-4'
+                        onClick={() =>
+                          onCopy(inv.api_key_hash!, inv.id + '-apikey')
+                        }
+                      >
+                        {copiedId === inv.id + '-apikey' ? (
+                          <Check className='h-3 w-3' />
+                        ) : (
+                          <Copy className='h-3 w-3' />
+                        )}
+                      </Button>
+                    </div>
+                  ) : (
+                    <span className='text-muted-foreground text-xs'>—</span>
+                  )}
+                </TableCell>
+                <TableCell>
+                  <div className='flex items-center gap-1 text-xs'>
+                    <span className='max-w-[140px] truncate font-mono'>
+                      {inv.payment_hash.slice(0, 14)}...
+                    </span>
+                    <Button
+                      variant='ghost'
+                      size='icon'
+                      className='h-4 w-4'
+                      onClick={() => onCopy(inv.payment_hash, inv.id + '-hash')}
+                    >
+                      {copiedId === inv.id + '-hash' ? (
+                        <Check className='h-3 w-3' />
+                      ) : (
+                        <Copy className='h-3 w-3' />
+                      )}
+                    </Button>
+                  </div>
+                </TableCell>
+                <TableCell className='text-xs whitespace-nowrap'>
+                  {format(inv.created_at * 1000, 'yyyy-MM-dd HH:mm:ss')}
+                </TableCell>
+                <TableCell className='text-xs whitespace-nowrap'>
+                  {inv.paid_at
+                    ? format(inv.paid_at * 1000, 'yyyy-MM-dd HH:mm:ss')
+                    : '—'}
+                </TableCell>
+                <TableCell className='text-right'>
+                  <Button
+                    variant='ghost'
+                    size='icon'
+                    className='h-8 w-8'
+                    onClick={() => onCopy(inv.bolt11, inv.id + '-bolt11')}
+                    title='Copy BOLT11'
+                  >
+                    {copiedId === inv.id + '-bolt11' ? (
+                      <Check className='h-4 w-4' />
+                    ) : (
+                      <Copy className='h-4 w-4' />
+                    )}
+                  </Button>
+                </TableCell>
+              </TableRow>
+            ))}
+          </TableBody>
+        </Table>
+      </div>
+      <ScrollBar orientation='horizontal' />
+    </ScrollArea>
+  );
+}
+
 export default function TransactionsPage() {
   const [search, setSearch] = useState('');
   const [type, setType] = useState<string>('all');
@@ -231,6 +401,7 @@ export default function TransactionsPage() {
   const [activeTab, setActiveTab] = useState<string>('x-cashu');
   const [xcashuPage, setXcashuPage] = useState(0);
   const [apikeyPage, setApikeyPage] = useState(0);
+  const [lightningPage, setLightningPage] = useState(0);
 
   const typeParam = type === 'all' ? undefined : type;
   const statusParam = status === 'all' ? undefined : status;
@@ -278,12 +449,37 @@ export default function TransactionsPage() {
     placeholderData: keepPreviousData,
   });
 
+  const LIGHTNING_STATUSES = ['pending', 'paid', 'expired', 'cancelled'];
+  const lightningStatusParam = LIGHTNING_STATUSES.includes(status)
+    ? status
+    : undefined;
+
+  const lightningQuery = useQuery({
+    queryKey: [
+      'lightning-invoices',
+      lightningStatusParam,
+      searchParam,
+      lightningPage,
+    ],
+    queryFn: () =>
+      AdminService.getLightningInvoices(
+        lightningStatusParam,
+        undefined,
+        searchParam,
+        PAGE_SIZE,
+        lightningPage * PAGE_SIZE
+      ),
+    placeholderData: keepPreviousData,
+    refetchInterval: 10000,
+  });
+
   const handleClearFilters = () => {
     setSearch('');
     setType('all');
     setStatus('all');
     setXcashuPage(0);
     setApikeyPage(0);
+    setLightningPage(0);
   };
 
   const copyToClipboard = (text: string, id: string) => {
@@ -337,9 +533,13 @@ export default function TransactionsPage() {
   useEffect(() => {
     setXcashuPage(0);
     setApikeyPage(0);
+    setLightningPage(0);
   }, [type, status, search]);
 
-  const isRefetching = xcashuQuery.isRefetching || apikeyQuery.isRefetching;
+  const isRefetching =
+    xcashuQuery.isRefetching ||
+    apikeyQuery.isRefetching ||
+    lightningQuery.isRefetching;
 
   const renderCardContent = (
     query: typeof xcashuQuery,
@@ -417,6 +617,7 @@ export default function TransactionsPage() {
               onClick={() => {
                 xcashuQuery.refetch();
                 apikeyQuery.refetch();
+                lightningQuery.refetch();
               }}
               variant='outline'
               size='sm'
@@ -476,6 +677,11 @@ export default function TransactionsPage() {
                     <SelectItem value='pending'>Pending</SelectItem>
                     <SelectItem value='collected'>Collected</SelectItem>
                     <SelectItem value='swept'>Swept</SelectItem>
+                    <SelectItem value='paid'>Paid (Lightning)</SelectItem>
+                    <SelectItem value='expired'>Expired (Lightning)</SelectItem>
+                    <SelectItem value='cancelled'>
+                      Cancelled (Lightning)
+                    </SelectItem>
                   </SelectContent>
                 </Select>
               </div>
@@ -516,6 +722,15 @@ export default function TransactionsPage() {
                 </Badge>
               )}
             </TabsTrigger>
+            <TabsTrigger value='lightning' className='flex items-center gap-2'>
+              <Zap className='h-4 w-4' />
+              Lightning
+              {lightningQuery.data && (
+                <Badge variant='secondary' className='ml-1'>
+                  {lightningQuery.data.total}
+                </Badge>
+              )}
+            </TabsTrigger>
           </TabsList>
 
           <TabsContent value='x-cashu'>
@@ -553,6 +768,81 @@ export default function TransactionsPage() {
               </CardContent>
             </Card>
           </TabsContent>
+
+          <TabsContent value='lightning'>
+            <Card>
+              <CardHeader>
+                <div className='flex flex-col items-start gap-2 sm:flex-row sm:items-center sm:justify-between'>
+                  <CardTitle>Lightning Invoice History</CardTitle>
+                  <CardDescription>
+                    Auto-refreshing every 10s. Paid invoices credit balance
+                    automatically.
+                  </CardDescription>
+                </div>
+              </CardHeader>
+              <CardContent className='overflow-hidden'>
+                {lightningQuery.isLoading ? (
+                  <div className='space-y-2'>
+                    {Array.from({ length: 8 }).map((_, index) => (
+                      <Skeleton
+                        key={`ln-loading-${index}`}
+                        className='h-16 w-full rounded-lg'
+                      />
+                    ))}
+                  </div>
+                ) : (
+                  <>
+                    {(() => {
+                      const total = lightningQuery.data?.total ?? 0;
+                      const totalPages = Math.ceil(total / PAGE_SIZE);
+                      if (totalPages <= 1) return null;
+                      return (
+                        <div className='flex flex-col gap-2 border-b pb-3 sm:flex-row sm:items-center sm:justify-between'>
+                          <span className='text-muted-foreground text-xs sm:text-sm'>
+                            {lightningPage * PAGE_SIZE + 1}–
+                            {Math.min((lightningPage + 1) * PAGE_SIZE, total)}{' '}
+                            of {total}
+                          </span>
+                          <div className='flex items-center gap-2'>
+                            <Button
+                              variant='outline'
+                              size='sm'
+                              disabled={lightningPage === 0}
+                              onClick={() =>
+                                setLightningPage(lightningPage - 1)
+                              }
+                            >
+                              <ChevronLeft className='h-4 w-4' />
+                              <span className='hidden sm:inline'>Previous</span>
+                            </Button>
+                            <span className='text-xs sm:text-sm'>
+                              {lightningPage + 1} / {totalPages}
+                            </span>
+                            <Button
+                              variant='outline'
+                              size='sm'
+                              disabled={lightningPage >= totalPages - 1}
+                              onClick={() =>
+                                setLightningPage(lightningPage + 1)
+                              }
+                            >
+                              <span className='hidden sm:inline'>Next</span>
+                              <ChevronRight className='h-4 w-4' />
+                            </Button>
+                          </div>
+                        </div>
+                      );
+                    })()}
+                    <LightningInvoiceTable
+                      invoices={lightningQuery.data?.invoices ?? []}
+                      copiedId={copiedId}
+                      onCopy={copyToClipboard}
+                    />
+                  </>
+                )}
+              </CardContent>
+            </Card>
+          </TabsContent>
         </Tabs>
       </div>
     </AppPageShell>

ui/components/add-provider-model-dialog.tsx

@@ -1,6 +1,6 @@
 'use client';
 
-import React, { useCallback, useEffect, useMemo, useState } from 'react';
+import React, { useEffect, useMemo, useState } from 'react';
 import { useForm } from 'react-hook-form';
 import { z } from 'zod';
 import { zodResolver } from '@hookform/resolvers/zod';
@@ -540,7 +540,7 @@ export function AddProviderModelDialog({
                   };
                   return (
                     <FormItem>
-                      <FormLabel>Upstream Model ID</FormLabel>
+                      <FormLabel>Client Alias ID</FormLabel>
                       <FormControl>
                         <div className='flex gap-2'>
                           <Input
@@ -565,8 +565,8 @@ export function AddProviderModelDialog({
                         </div>
                       </FormControl>
                       <FormDescription>
-                        Model ID sent to the upstream provider. Defaults to the
-                        model&apos;s own ID.
+                        Alternate ID that clients can use to reference this
+                        model. Defaults to the model&apos;s own ID.
                       </FormDescription>
                       <FormMessage />
                     </FormItem>

ui/components/app-page-shell.tsx

@@ -21,6 +21,7 @@ import { adminLogout } from '@/lib/api/services/auth';
 import { Button } from '@/components/ui/button';
 import { CurrencyToggle } from '@/components/currency-toggle';
 import { ThemeToggle } from '@/components/theme-toggle';
+import { VersionStatus } from '@/components/version-status';
 import {
   Sheet,
   SheetClose,
@@ -90,8 +91,18 @@ export function AppPageShell({
               isSidebarCollapsed && 'px-0'
             )}
           >
-            <div className='flex items-center gap-2'>
-              <div className='flex min-w-0 flex-1 items-center gap-2 overflow-hidden'>
+            <div
+              className={cn(
+                'flex items-center gap-2',
+                isSidebarCollapsed && 'justify-center'
+              )}
+            >
+              <div
+                className={cn(
+                  'flex min-w-0 items-center gap-2 overflow-hidden',
+                  !isSidebarCollapsed && 'flex-1'
+                )}
+              >
                 <Image
                   src='/icon.ico'
                   alt='Routstr Node'
@@ -110,26 +121,9 @@ export function AppPageShell({
                   <h1 className='truncate text-lg font-semibold tracking-tight whitespace-nowrap'>
                     Routstr Node
                   </h1>
+                  <VersionStatus className='mt-0.5' />
                 </div>
               </div>
-              <Button
-                variant='ghost'
-                size='icon'
-                className={cn(
-                  'text-muted-foreground hover:text-foreground h-8 w-8 shrink-0 transition-transform duration-300 ease-in-out',
-                  isSidebarCollapsed ? 'mx-auto' : '-mr-1 ml-auto'
-                )}
-                onClick={() => setIsSidebarCollapsed((current) => !current)}
-              >
-                {isSidebarCollapsed ? (
-                  <PanelLeftOpenIcon className='h-4 w-4' />
-                ) : (
-                  <PanelLeftCloseIcon className='h-4 w-4' />
-                )}
-                <span className='sr-only'>
-                  {isSidebarCollapsed ? 'Expand sidebar' : 'Collapse sidebar'}
-                </span>
-              </Button>
             </div>
           </div>
 
@@ -230,6 +224,28 @@ export function AppPageShell({
                 </Button>
               </div>
             )}
+            <Button
+              variant='ghost'
+              size={isSidebarCollapsed ? 'icon' : 'sm'}
+              className={cn(
+                'text-muted-foreground hover:text-foreground transition-[width,padding] duration-300 ease-in-out',
+                isSidebarCollapsed
+                  ? 'mx-auto h-8 w-8'
+                  : 'h-8 w-full justify-start gap-1.5 rounded-md px-2.5 text-[11px]'
+              )}
+              onClick={() => setIsSidebarCollapsed((current) => !current)}
+            >
+              {isSidebarCollapsed ? (
+                <PanelLeftOpenIcon className='h-4 w-4' />
+              ) : (
+                <PanelLeftCloseIcon className='h-4 w-4' />
+              )}
+              {isSidebarCollapsed ? (
+                <span className='sr-only'>Expand sidebar</span>
+              ) : (
+                'Collapse'
+              )}
+            </Button>
           </div>
         </aside>
 
@@ -279,9 +295,12 @@ export function AppPageShell({
                     height={24}
                     className='rounded-sm'
                   />
-                  <p className='truncate text-base font-medium tracking-tight'>
-                    Routstr Node
-                  </p>
+                  <div className='min-w-0'>
+                    <p className='truncate text-base font-medium tracking-tight'>
+                      Routstr Node
+                    </p>
+                    <VersionStatus className='mt-0.5' />
+                  </div>
                 </div>
                 <SheetClose asChild>
                   <Button

ui/components/settings/admin-settings.tsx

@@ -32,9 +32,18 @@ interface SettingsData {
   onion_url?: string;
   cashu_mints?: string[];
   relays?: string[];
+  receive_ln_address?: string;
+  min_payout_sat?: number;
+  payout_interval_seconds?: number;
   [key: string]: unknown;
 }
 
+const PAYOUT_KEYS = [
+  'receive_ln_address',
+  'min_payout_sat',
+  'payout_interval_seconds',
+] as const;
+
 const HANDLED_KEYS = [
   'name',
   'description',
@@ -48,6 +57,7 @@ const HANDLED_KEYS = [
   'admin_password',
   'id',
   'updated_at',
+  ...PAYOUT_KEYS,
 ];
 
 const IGNORED_KEYS = [
@@ -369,6 +379,7 @@ export function AdminSettings() {
   const cashuMintsChanged = hasFieldChanged('cashu_mints');
   const relaysChanged = hasFieldChanged('relays');
   const analyticsSharingChanged = hasFieldChanged('enable_analytics_sharing');
+  const payoutChanged = PAYOUT_KEYS.some(hasFieldChanged);
   const advancedKeys = Object.keys(settings).filter(
     (key) => !HANDLED_KEYS.includes(key) && !IGNORED_KEYS.includes(key)
   );
@@ -401,8 +412,44 @@ export function AdminSettings() {
     setNewRelay('');
   };
   const resetAnalyticsSharing = () => resetFields(['enable_analytics_sharing']);
+  const resetPayout = () => resetFields([...PAYOUT_KEYS]);
   const resetAdvanced = () => resetFields(advancedKeys);
 
+  const payoutFields: ReadonlyArray<{
+    key: (typeof PAYOUT_KEYS)[number];
+    label: string;
+    placeholder: string;
+    type: 'text' | 'number';
+    helpText: string;
+    min?: number;
+  }> = [
+    {
+      key: 'receive_ln_address',
+      label: 'Lightning Receive Address',
+      placeholder: 'you@walletofsatoshi.com or LNURL',
+      type: 'text',
+      helpText:
+        'Lightning address (or LNURL) profits are paid out to. Leave empty to disable periodic payouts.',
+    },
+    {
+      key: 'min_payout_sat',
+      label: 'Minimum Payout (sat)',
+      placeholder: '210',
+      type: 'number',
+      min: 1,
+      helpText:
+        'Wallet payouts only fire when at least this many satoshis are available. Must be > 0.',
+    },
+    {
+      key: 'payout_interval_seconds',
+      label: 'Payout Interval (seconds)',
+      placeholder: '900',
+      type: 'number',
+      min: 1,
+      helpText: 'How often the payout loop wakes up to check balances.',
+    },
+  ];
+
   if (loading) {
     return (
       <div className='space-y-4'>
@@ -620,6 +667,89 @@ export function AdminSettings() {
           ) : null}
         </Card>
 
+        {/* Lightning Payout Settings */}
+        <Card>
+          <CardHeader>
+            <CardTitle>Lightning Payout Settings</CardTitle>
+            <CardDescription>
+              Tune how node profit is paid out over Lightning. Amounts must be
+              positive and above your wallet&apos;s minimum-invoice constraints.
+            </CardDescription>
+          </CardHeader>
+          <CardContent className='space-y-4'>
+            {payoutFields.map((field) => {
+              const value = settings[field.key];
+              if (field.type === 'number') {
+                return (
+                  <div key={field.key} className='space-y-2'>
+                    <Label htmlFor={field.key}>{field.label}</Label>
+                    <Input
+                      id={field.key}
+                      type='number'
+                      min={field.min}
+                      value={
+                        typeof value === 'number'
+                          ? value
+                          : value === undefined || value === null
+                            ? ''
+                            : Number(value)
+                      }
+                      placeholder={field.placeholder}
+                      onChange={(e) => {
+                        const raw = e.target.value;
+                        if (raw === '') {
+                          handleInputChange(field.key, undefined);
+                        } else {
+                          const parsed = Number(raw);
+                          handleInputChange(
+                            field.key,
+                            Number.isFinite(parsed) ? parsed : undefined
+                          );
+                        }
+                      }}
+                    />
+                    <p className='text-muted-foreground text-xs'>
+                      {field.helpText}
+                    </p>
+                  </div>
+                );
+              }
+              return (
+                <div key={field.key} className='space-y-2'>
+                  <Label htmlFor={field.key}>{field.label}</Label>
+                  <Input
+                    id={field.key}
+                    value={(value as string) || ''}
+                    placeholder={field.placeholder}
+                    onChange={(e) =>
+                      handleInputChange(field.key, e.target.value)
+                    }
+                  />
+                  <p className='text-muted-foreground text-xs'>
+                    {field.helpText}
+                  </p>
+                </div>
+              );
+            })}
+          </CardContent>
+          {payoutChanged ? (
+            <CardFooter className='justify-start'>
+              <div className='flex w-full flex-col gap-2 sm:w-auto sm:flex-row sm:items-center'>
+                <Button
+                  variant='outline'
+                  onClick={resetPayout}
+                  disabled={loading || saving}
+                >
+                  Cancel
+                </Button>
+                <Button onClick={handleSave} disabled={loading || saving}>
+                  {saving ? 'Saving...' : 'Save'}
+                </Button>
+              </div>
+            </CardFooter>
+          ) : null}
+        </Card>
+
         {/* Relays */}
         <Card>
           <CardHeader>

ui/components/settings/cli-tokens-settings.tsx

@@ -0,0 +1,265 @@
+'use client';
+
+import * as React from 'react';
+import { useState, useEffect, useCallback } from 'react';
+import {
+  AdminService,
+  type CliTokenListItem,
+  type CliTokenCreated,
+} from '@/lib/api/services/admin';
+import {
+  Card,
+  CardContent,
+  CardHeader,
+  CardTitle,
+  CardDescription,
+} from '@/components/ui/card';
+import { Button } from '@/components/ui/button';
+import { Input } from '@/components/ui/input';
+import { Label } from '@/components/ui/label';
+import { Skeleton } from '@/components/ui/skeleton';
+import { Alert, AlertDescription } from '@/components/ui/alert';
+import { AlertCircle, Copy, Trash2, Check } from 'lucide-react';
+import { toast } from 'sonner';
+
+function formatTs(ts: number | null): string {
+  if (!ts) return '—';
+  return new Date(ts * 1000).toLocaleString();
+}
+
+export function CliTokensSettings(): React.ReactElement {
+  const [tokens, setTokens] = useState<CliTokenListItem[]>([]);
+  const [loading, setLoading] = useState(true);
+  const [error, setError] = useState<string | null>(null);
+  const [name, setName] = useState('');
+  const [expiresInDays, setExpiresInDays] = useState<string>('');
+  const [creating, setCreating] = useState(false);
+  const [newToken, setNewToken] = useState<CliTokenCreated | null>(null);
+  const [copied, setCopied] = useState(false);
+
+  const loadTokens = useCallback(async (): Promise<void> => {
+    setLoading(true);
+    setError(null);
+    try {
+      const data = await AdminService.listCliTokens();
+      setTokens(data);
+    } catch (err: unknown) {
+      const message =
+        err instanceof Error ? err.message : 'Failed to load tokens';
+      setError(message);
+    } finally {
+      setLoading(false);
+    }
+  }, []);
+
+  useEffect(() => {
+    void loadTokens();
+  }, [loadTokens]);
+
+  async function handleCreate(): Promise<void> {
+    const trimmed = name.trim();
+    if (!trimmed) {
+      toast.error('Name is required');
+      return;
+    }
+    const days = expiresInDays.trim()
+      ? Number.parseInt(expiresInDays.trim(), 10)
+      : undefined;
+    if (days !== undefined && (Number.isNaN(days) || days <= 0)) {
+      toast.error('Expiry must be a positive number of days');
+      return;
+    }
+
+    setCreating(true);
+    try {
+      const created = await AdminService.createCliToken(trimmed, days);
+      setNewToken(created);
+      setName('');
+      setExpiresInDays('');
+      await loadTokens();
+      toast.success('Token created. Copy it now — it will not be shown again.');
+    } catch (err: unknown) {
+      const message =
+        err instanceof Error ? err.message : 'Failed to create token';
+      toast.error(message);
+    } finally {
+      setCreating(false);
+    }
+  }
+
+  async function handleRevoke(id: string): Promise<void> {
+    if (
+      !confirm('Revoke this token? Any CLI/agent using it will lose access.')
+    ) {
+      return;
+    }
+    try {
+      await AdminService.revokeCliToken(id);
+      await loadTokens();
+      toast.success('Token revoked');
+    } catch (err: unknown) {
+      const message =
+        err instanceof Error ? err.message : 'Failed to revoke token';
+      toast.error(message);
+    }
+  }
+
+  async function handleCopy(): Promise<void> {
+    if (!newToken) return;
+    await navigator.clipboard.writeText(newToken.token);
+    setCopied(true);
+    setTimeout(() => setCopied(false), 2000);
+  }
+
+  return (
+    <div className='space-y-6'>
+      <Card>
+        <CardHeader>
+          <CardTitle>Create CLI Token</CardTitle>
+          <CardDescription>
+            Generate a long-lived bearer token for the Routstr CLI or AI agents.
+            Use this token in <code>~/.routstr/config.json</code> or with{' '}
+            <code>routstr init --token &lt;token&gt;</code>.
+          </CardDescription>
+        </CardHeader>
+        <CardContent className='space-y-4'>
+          {newToken && (
+            <Alert className='border-green-500/50 bg-green-500/10'>
+              <AlertDescription className='space-y-3'>
+                <div className='font-medium text-green-700 dark:text-green-400'>
+                  Token created. Copy it now — it will not be shown again.
+                </div>
+                <div className='flex items-center gap-2'>
+                  <code className='bg-muted flex-1 rounded px-3 py-2 text-xs break-all'>
+                    {newToken.token}
+                  </code>
+                  <Button
+                    type='button'
+                    variant='outline'
+                    size='sm'
+                    onClick={handleCopy}
+                  >
+                    {copied ? (
+                      <Check className='h-4 w-4' />
+                    ) : (
+                      <Copy className='h-4 w-4' />
+                    )}
+                  </Button>
+                </div>
+                <Button
+                  type='button'
+                  variant='ghost'
+                  size='sm'
+                  onClick={() => setNewToken(null)}
+                >
+                  Dismiss
+                </Button>
+              </AlertDescription>
+            </Alert>
+          )}
+          <div className='grid grid-cols-1 gap-4 md:grid-cols-2'>
+            <div className='space-y-2'>
+              <Label htmlFor='cli-token-name'>Name</Label>
+              <Input
+                id='cli-token-name'
+                placeholder='e.g. dev-laptop, ci-runner'
+                value={name}
+                onChange={(e) => setName(e.target.value)}
+                disabled={creating}
+              />
+            </div>
+            <div className='space-y-2'>
+              <Label htmlFor='cli-token-expiry'>
+                Expires in days (optional)
+              </Label>
+              <Input
+                id='cli-token-expiry'
+                type='number'
+                min='1'
+                placeholder='Never expires if blank'
+                value={expiresInDays}
+                onChange={(e) => setExpiresInDays(e.target.value)}
+                disabled={creating}
+              />
+            </div>
+          </div>
+          <Button onClick={handleCreate} disabled={creating || !name.trim()}>
+            {creating ? 'Creating…' : 'Create Token'}
+          </Button>
+        </CardContent>
+      </Card>
+
+      <Card>
+        <CardHeader>
+          <CardTitle>Active Tokens</CardTitle>
+          <CardDescription>
+            Tokens authorize CLI/agent calls to admin endpoints. Revoke any
+            token that may have been exposed.
+          </CardDescription>
+        </CardHeader>
+        <CardContent>
+          {error && (
+            <Alert variant='destructive' className='mb-4'>
+              <AlertCircle className='h-4 w-4' />
+              <AlertDescription>{error}</AlertDescription>
+            </Alert>
+          )}
+          {loading ? (
+            <div className='space-y-2'>
+              <Skeleton className='h-12 w-full' />
+              <Skeleton className='h-12 w-full' />
+            </div>
+          ) : tokens.length === 0 ? (
+            <p className='text-muted-foreground text-sm'>
+              No tokens yet. Create one above.
+            </p>
+          ) : (
+            <div className='overflow-x-auto'>
+              <table className='w-full text-sm'>
+                <thead>
+                  <tr className='text-muted-foreground border-b text-left'>
+                    <th className='py-2 pr-4 font-medium'>Name</th>
+                    <th className='py-2 pr-4 font-medium'>Token</th>
+                    <th className='py-2 pr-4 font-medium'>Created</th>
+                    <th className='py-2 pr-4 font-medium'>Last used</th>
+                    <th className='py-2 pr-4 font-medium'>Expires</th>
+                    <th className='py-2 font-medium'></th>
+                  </tr>
+                </thead>
+                <tbody>
+                  {tokens.map((t) => (
+                    <tr key={t.id} className='border-b last:border-0'>
+                      <td className='py-2 pr-4'>{t.name}</td>
+                      <td className='py-2 pr-4 font-mono text-xs'>
+                        {t.token_preview}
+                      </td>
+                      <td className='text-muted-foreground py-2 pr-4'>
+                        {formatTs(t.created_at)}
+                      </td>
+                      <td className='text-muted-foreground py-2 pr-4'>
+                        {formatTs(t.last_used_at)}
+                      </td>
+                      <td className='text-muted-foreground py-2 pr-4'>
+                        {t.expires_at ? formatTs(t.expires_at) : 'Never'}
+                      </td>
+                      <td className='py-2'>
+                        <Button
+                          type='button'
+                          variant='ghost'
+                          size='sm'
+                          onClick={() => void handleRevoke(t.id)}
+                        >
+                          <Trash2 className='h-4 w-4' />
+                        </Button>
+                      </td>
+                    </tr>
+                  ))}
+                </tbody>
+              </table>
+            </div>
+          )}
+        </CardContent>
+      </Card>
+    </div>
+  );
+}

ui/components/version-status.tsx

@@ -0,0 +1,282 @@
+'use client';
+
+import { useQuery, useQueryClient } from '@tanstack/react-query';
+import {
+  AlertTriangleIcon,
+  CheckCircle2Icon,
+  ExternalLinkIcon,
+  InfoIcon,
+  Loader2Icon,
+  RefreshCwIcon,
+} from 'lucide-react';
+import { ConfigurationService } from '@/lib/api/services/configuration';
+import { Button } from '@/components/ui/button';
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from '@/components/ui/popover';
+import { cn } from '@/lib/utils';
+import {
+  deriveStatus,
+  formatReleaseDate,
+  formatVersionLabel,
+  parseVersion,
+  type StatusKind,
+} from '@/lib/utils/version';
+
+interface NodeInfo {
+  version?: string;
+}
+
+interface GithubRelease {
+  tag_name: string;
+  name?: string;
+  html_url: string;
+  published_at?: string;
+  body?: string;
+}
+
+const NODE_QUERY_KEY = ['node-version'] as const;
+const RELEASE_QUERY_KEY = ['routstr-latest-release'] as const;
+const THIRTY_MINUTES = 30 * 60 * 1000;
+
+const GITHUB_RELEASES_URL = `https://api.github.com/repos/Routstr/routstr-core/releases/latest`;
+const RELEASES_PAGE_URL = `https://github.com/Routstr/routstr-core/releases`;
+
+async function fetchNodeInfo(): Promise<NodeInfo> {
+  const baseUrl = ConfigurationService.getLocalBaseUrl().replace(/\/+$/, '');
+  const response = await fetch(`${baseUrl}/v1/info`, {
+    headers: { 'Content-Type': 'application/json' },
+  });
+  if (!response.ok) {
+    throw new Error('Unable to load node info');
+  }
+  return (await response.json()) as NodeInfo;
+}
+
+async function fetchLatestRelease(): Promise<GithubRelease | null> {
+  const response = await fetch(GITHUB_RELEASES_URL, {
+    headers: { Accept: 'application/vnd.github+json' },
+  });
+  if (response.status === 403 || response.status === 404) {
+    return null;
+  }
+  if (!response.ok) {
+    throw new Error(`GitHub responded ${response.status}`);
+  }
+  return (await response.json()) as GithubRelease;
+}
+
+function pickColorClass(status: StatusKind): string {
+  if (status === 'outdated') return 'text-amber-600 dark:text-amber-400';
+  if (status === 'unknown') return 'text-muted-foreground';
+  if (status === 'ahead' || status === 'commit-drift') {
+    return 'text-sky-600 dark:text-sky-400';
+  }
+  return 'text-emerald-600 dark:text-emerald-400';
+}
+
+function renderStatusIcon(status: StatusKind, className: string) {
+  if (status === 'outdated') {
+    return <AlertTriangleIcon className={className} />;
+  }
+  if (status === 'commit-drift' || status === 'ahead' || status === 'unknown') {
+    return <InfoIcon className={className} />;
+  }
+  return <CheckCircle2Icon className={className} />;
+}
+
+function describeStatus(status: StatusKind): string {
+  if (status === 'outdated') return 'A newer release is available.';
+  if (status === 'commit-drift') {
+    return 'Running release version on a non-release commit.';
+  }
+  if (status === 'ahead') {
+    return 'Running ahead of the latest published release.';
+  }
+  if (status === 'current') return 'Up to date with the latest release.';
+  return 'Version status unavailable.';
+}
+
+interface VersionStatusProps {
+  variant?: 'expanded' | 'compact';
+  className?: string;
+}
+
+export function VersionStatus({
+  variant = 'expanded',
+  className,
+}: VersionStatusProps) {
+  const queryClient = useQueryClient();
+
+  const nodeQuery = useQuery({
+    queryKey: NODE_QUERY_KEY,
+    queryFn: fetchNodeInfo,
+    staleTime: THIRTY_MINUTES,
+    retry: 1,
+  });
+
+  const releaseQuery = useQuery({
+    queryKey: RELEASE_QUERY_KEY,
+    queryFn: fetchLatestRelease,
+    staleTime: THIRTY_MINUTES,
+    refetchInterval: THIRTY_MINUTES,
+    refetchOnWindowFocus: false,
+    retry: 1,
+  });
+
+  const currentVersion = parseVersion(nodeQuery.data?.version);
+  const latestVersion = parseVersion(releaseQuery.data?.tag_name);
+  const status = deriveStatus(currentVersion, latestVersion);
+
+  const isRefreshing = releaseQuery.isFetching || nodeQuery.isFetching;
+
+  const handleRefresh = async (): Promise<void> => {
+    await Promise.all([
+      queryClient.invalidateQueries({ queryKey: NODE_QUERY_KEY }),
+      queryClient.invalidateQueries({ queryKey: RELEASE_QUERY_KEY }),
+    ]);
+  };
+
+  const colorClass = pickColorClass(status);
+  const versionLabel = currentVersion
+    ? formatVersionLabel(currentVersion)
+    : nodeQuery.isLoading
+      ? '…'
+      : 'unknown';
+
+  if (!nodeQuery.data && nodeQuery.isLoading && variant === 'expanded') {
+    return null;
+  }
+
+  const statusDescription = describeStatus(status);
+  const ariaLabel = `Node version ${versionLabel}. ${statusDescription} Click for details.`;
+
+  const releaseRateLimited = releaseQuery.data === null;
+
+  return (
+    <Popover>
+      <PopoverTrigger asChild>
+        <button
+          type='button'
+          onClick={(e) => e.stopPropagation()}
+          className={cn(
+            'hover:bg-accent/40 inline-flex items-center gap-1 rounded-md px-1 py-0.5 font-mono text-[10px] leading-tight transition-colors',
+            colorClass,
+            className
+          )}
+          title='View version details'
+          aria-label={ariaLabel}
+        >
+          {renderStatusIcon(status, 'h-3 w-3 shrink-0')}
+          <span className='truncate'>{versionLabel}</span>
+        </button>
+      </PopoverTrigger>
+      <PopoverContent
+        side='bottom'
+        align='start'
+        sideOffset={6}
+        className='w-72 p-3'
+      >
+        <div className='flex items-start justify-between gap-2'>
+          <div className='min-w-0 space-y-0.5'>
+            <div className='flex items-center gap-1.5 text-sm font-medium'>
+              {renderStatusIcon(status, cn('h-4 w-4 shrink-0', colorClass))}
+              Node Version
+            </div>
+            <p className='text-muted-foreground text-xs leading-snug'>
+              {statusDescription}
+            </p>
+          </div>
+          <Button
+            type='button'
+            variant='outline'
+            size='icon'
+            className='h-7 w-7 shrink-0'
+            onClick={handleRefresh}
+            disabled={isRefreshing}
+            title='Check for latest release'
+          >
+            {isRefreshing ? (
+              <Loader2Icon className='h-3.5 w-3.5 animate-spin' />
+            ) : (
+              <RefreshCwIcon className='h-3.5 w-3.5' />
+            )}
+            <span className='sr-only'>Check for latest release</span>
+          </Button>
+        </div>
+
+        <div className='mt-3 space-y-2'>
+          <div className='border-border/60 bg-card/30 grid gap-1.5 rounded-md border p-2'>
+            <div className='flex items-center justify-between gap-3'>
+              <span className='text-muted-foreground text-[10px] tracking-wide uppercase'>
+                Current
+              </span>
+              <span className='font-mono text-xs'>{versionLabel}</span>
+            </div>
+            {currentVersion?.commit ? (
+              <div className='flex items-center justify-between gap-3'>
+                <span className='text-muted-foreground text-[10px] tracking-wide uppercase'>
+                  Commit
+                </span>
+                <code className='font-mono text-[11px]'>
+                  {currentVersion.commit}
+                </code>
+              </div>
+            ) : null}
+          </div>
+
+          <div className='border-border/60 bg-card/30 grid gap-1.5 rounded-md border p-2'>
+            <div className='flex items-center justify-between gap-3'>
+              <span className='text-muted-foreground text-[10px] tracking-wide uppercase'>
+                Latest release
+              </span>
+              <span className='font-mono text-xs'>
+                {releaseQuery.isLoading
+                  ? 'loading…'
+                  : releaseQuery.isError
+                    ? 'unavailable'
+                    : releaseRateLimited
+                      ? 'rate-limited'
+                      : (releaseQuery.data?.tag_name ?? 'unknown')}
+              </span>
+            </div>
+            {releaseQuery.data?.published_at ? (
+              <div className='flex items-center justify-between gap-3'>
+                <span className='text-muted-foreground text-[10px] tracking-wide uppercase'>
+                  Published
+                </span>
+                <span className='text-[11px]'>
+                  {formatReleaseDate(releaseQuery.data.published_at)}
+                </span>
+              </div>
+            ) : null}
+          </div>
+
+          {releaseQuery.isError ? (
+            <p className='text-muted-foreground text-[11px]'>
+              Failed to fetch latest release from GitHub.
+            </p>
+          ) : releaseRateLimited ? (
+            <p className='text-muted-foreground text-[11px]'>
+              GitHub rate limit reached. Try again later.
+            </p>
+          ) : null}
+        </div>
+
+        <div className='border-border/60 mt-3 border-t pt-2'>
+          <a
+            href={releaseQuery.data?.html_url ?? RELEASES_PAGE_URL}
+            target='_blank'
+            rel='noopener noreferrer'
+            className='text-primary inline-flex items-center gap-1 text-xs hover:underline'
+          >
+            View release changelog
+            <ExternalLinkIcon className='h-3 w-3' />
+          </a>
+        </div>
+      </PopoverContent>
+    </Popover>
+  );
+}

ui/lib/api/services/admin.ts

@@ -908,6 +908,25 @@ export class AdminService {
     );
   }
 
+  static async getLightningInvoices(
+    status?: string,
+    purpose?: string,
+    search?: string,
+    limit: number = 50,
+    offset: number = 0
+  ): Promise<LightningInvoicesResponse> {
+    const params = new URLSearchParams();
+    if (status) params.append('status', status);
+    if (purpose) params.append('purpose', purpose);
+    if (search) params.append('search', search);
+    params.append('limit', limit.toString());
+    params.append('offset', offset.toString());
+
+    return await apiClient.get<LightningInvoicesResponse>(
+      `/admin/api/lightning-invoices?${params.toString()}`
+    );
+  }
+
   static async createProviderAccountByType(providerType: string): Promise<{
     ok: boolean;
     account_data: Record<string, unknown>;
@@ -966,6 +985,45 @@ export class AdminService {
       balance_data: number | null | Record<string, unknown>;
     }>(`/admin/api/upstream-providers/${providerId}/balance`);
   }
+
+  // ── CLI Tokens ──
+
+  static async listCliTokens(): Promise<CliTokenListItem[]> {
+    return await apiClient.get<CliTokenListItem[]>('/admin/api/cli-tokens');
+  }
+
+  static async createCliToken(
+    name: string,
+    expiresInDays?: number
+  ): Promise<CliTokenCreated> {
+    return await apiClient.post<CliTokenCreated>('/admin/api/cli-tokens', {
+      name,
+      expires_in_days: expiresInDays ?? null,
+    });
+  }
+
+  static async revokeCliToken(tokenId: string): Promise<{ ok: boolean }> {
+    return await apiClient.delete<{ ok: boolean }>(
+      `/admin/api/cli-tokens/${encodeURIComponent(tokenId)}`
+    );
+  }
+}
+
+export interface CliTokenListItem {
+  id: string;
+  name: string;
+  token_preview: string;
+  created_at: number;
+  last_used_at: number | null;
+  expires_at: number | null;
+}
+
+export interface CliTokenCreated {
+  id: string;
+  name: string;
+  token: string;
+  created_at: number;
+  expires_at: number | null;
 }
 
 export const TemporaryBalanceSchema = z.object({
@@ -1147,3 +1205,22 @@ export interface TransactionsResponse {
   transactions: Transaction[];
   total: number;
 }
+
+export interface LightningInvoice {
+  id: string;
+  bolt11: string;
+  amount_sats: number;
+  description: string;
+  payment_hash: string;
+  status: 'pending' | 'paid' | 'expired' | 'cancelled';
+  api_key_hash: string | null;
+  purpose: 'create' | 'topup';
+  created_at: number;
+  expires_at: number;
+  paid_at: number | null;
+}
+
+export interface LightningInvoicesResponse {
+  invoices: LightningInvoice[];
+  total: number;
+}

ui/lib/utils/version.ts

@@ -0,0 +1,72 @@
+export interface ParsedVersion {
+  raw: string;
+  base: string;
+  parts: readonly number[];
+  commit: string | null;
+}
+
+export type StatusKind =
+  | 'unknown'
+  | 'outdated'
+  | 'ahead'
+  | 'commit-drift'
+  | 'current';
+
+export function parseVersion(
+  raw: string | undefined | null
+): ParsedVersion | null {
+  if (!raw) return null;
+  const trimmed = raw.trim().replace(/^v/i, '');
+  if (!trimmed) return null;
+  const [base, commitPart] = trimmed.split('+', 2);
+  const parts = (base ?? '')
+    .split('.')
+    .map((segment) => Number.parseInt(segment, 10))
+    .filter((value) => Number.isFinite(value));
+  if (parts.length === 0) return null;
+  return {
+    raw,
+    base: base ?? '',
+    parts,
+    commit: commitPart ?? null,
+  };
+}
+
+export function compareVersionParts(
+  a: readonly number[],
+  b: readonly number[]
+): number {
+  const length = Math.max(a.length, b.length);
+  for (let i = 0; i < length; i += 1) {
+    const diff = (a[i] ?? 0) - (b[i] ?? 0);
+    if (diff !== 0) return diff;
+  }
+  return 0;
+}
+
+export function deriveStatus(
+  current: ParsedVersion | null,
+  latest: ParsedVersion | null
+): StatusKind {
+  if (!current || !latest) return 'unknown';
+  const cmp = compareVersionParts(current.parts, latest.parts);
+  if (cmp < 0) return 'outdated';
+  if (cmp > 0) return 'ahead';
+  return current.commit ? 'commit-drift' : 'current';
+}
+
+export function formatReleaseDate(iso: string | undefined): string | null {
+  if (!iso) return null;
+  const date = new Date(iso);
+  if (Number.isNaN(date.getTime())) return null;
+  return date.toLocaleDateString(undefined, {
+    year: 'numeric',
+    month: 'short',
+    day: 'numeric',
+  });
+}
+
+export function formatVersionLabel(version: ParsedVersion | null): string {
+  if (!version) return 'unknown';
+  return version.raw.startsWith('v') ? version.raw : `v${version.raw}`;
+}

ui/next.config.ts

@@ -6,6 +6,9 @@ const nextConfig: NextConfig = {
   images: {
     unoptimized: true,
   },
+  turbopack: {
+    root: __dirname,
+  },
 };
 
 export default nextConfig;

ui/package.json

@@ -1,5 +1,6 @@
 {
   "name": "routstr-service",
+  "packageManager": "pnpm@10.15.0",
   "version": "0.1.0",
   "private": true,
   "scripts": {
@@ -88,5 +89,11 @@
     "prettier-plugin-tailwindcss": "^0.7.2",
     "tailwindcss": "^4.2.0",
     "typescript": "^5.9.3"
+  },
+  "pnpm": {
+    "onlyBuiltDependencies": [
+      "sharp",
+      "unrs-resolver"
+    ]
   }
 }

uv.lock

@@ -1,6 +1,10 @@
 version = 1
 revision = 3
 requires-python = ">=3.11"
+resolution-markers = [
+    "python_full_version >= '3.14'",
+    "python_full_version < '3.14'",
+]
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -118,6 +122,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/c2/62/96b5217b742805236614f05904541000f55422a6060a90d7fd4ce26c172d/alembic-1.16.4-py3-none-any.whl", hash = "sha256:b05e51e8e82efc1abd14ba2af6392897e145930c3e0a2faf2b0da2f7f7fd660d", size = 247026, upload-time = "2025-07-10T16:17:21.845Z" },
 ]
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
+]
+
 [[package]]
 name = "anyio"
 version = "4.9.0"
@@ -302,7 +315,7 @@ wheels = [
 
 [[package]]
 name = "cashu"
-version = "0.17.0"
+version = "0.20.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiosqlite" },
@@ -319,6 +332,7 @@ dependencies = [
     { name = "environs" },
     { name = "fastapi" },
     { name = "googleapis-common-protos" },
+    { name = "greenlet" },
     { name = "grpcio" },
     { name = "grpcio-tools" },
     { name = "h11" },
@@ -330,9 +344,9 @@ dependencies = [
     { name = "mypy-protobuf" },
     { name = "pycryptodomex" },
     { name = "pydantic" },
+    { name = "pydantic-settings" },
     { name = "pyjwt" },
     { name = "redis" },
-    { name = "secp256k1" },
     { name = "setuptools" },
     { name = "slowapi" },
     { name = "sqlalchemy", extra = ["asyncio"] },
@@ -343,9 +357,9 @@ dependencies = [
     { name = "wheel" },
     { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b5/84/b60d5a007b48d8b3bc795f3bbe6f47a56cd42e7af828c0082e94eb9ce949/cashu-0.17.0.tar.gz", hash = "sha256:a37ce0630b5e1a2b938ae10e4a252f4ed089224d7a186fe2f4548d5f2be17831", size = 6992332, upload-time = "2025-05-19T10:47:59.209Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/48/d0/31f3319b36707f754b254a46e39b055b08b9d0c7bdd49f6232295fcd786f/cashu-0.20.0.tar.gz", hash = "sha256:259b061dc1786129ce02d88401ca38a91311b08c119c769b4f64653d892b204a", size = 7004615, upload-time = "2026-03-31T16:44:28.493Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/5a/07/f4564f42b4b579d4a476b4280f082f3e861f684945842630b73ee0aa0309/cashu-0.17.0-py3-none-any.whl", hash = "sha256:23d64de4d076dc5cbab149d11b3e662b2a7adb7aaf8416e4c445e7acf216b37d", size = 7062992, upload-time = "2025-05-19T10:47:56.753Z" },
+    { url = "https://files.pythonhosted.org/packages/26/0c/3f736d3a6f2f88631d6f1cc42976e5ad7af3b97b7ff29b142f6d2829ae56/cashu-0.20.0-py3-none-any.whl", hash = "sha256:7148b13fcb8da63502775c5c627b56f74480dcaff2321cab65c1cfd2cd387dc2", size = 7087085, upload-time = "2026-03-31T16:44:30.544Z" },
 ]
 
 [[package]]
@@ -432,6 +446,95 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/7c/fc/6a8cb64e5f0324877d503c854da15d76c1e50eb722e320b15345c4d0c6de/cffi-1.17.1-cp313-cp313-win_amd64.whl", hash = "sha256:f6a16c31041f09ead72d69f583767292f750d24913dadacf5756b966aacb3f1a", size = 182009, upload-time = "2024-09-04T20:44:45.309Z" },
 ]
 
+[[package]]
+name = "charset-normalizer"
+version = "3.4.7"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e7/a1/67fe25fac3c7642725500a3f6cfe5821ad557c3abb11c9d20d12c7008d3e/charset_normalizer-3.4.7.tar.gz", hash = "sha256:ae89db9e5f98a11a4bf50407d4363e7b09b31e55bc117b4f7d80aab97ba009e5", size = 144271, upload-time = "2026-04-02T09:28:39.342Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c2/d7/b5b7020a0565c2e9fa8c09f4b5fa6232feb326b8c20081ccded47ea368fd/charset_normalizer-3.4.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:7641bb8895e77f921102f72833904dcd9901df5d6d72a2ab8f31d04b7e51e4e7", size = 309705, upload-time = "2026-04-02T09:26:02.191Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/53/58c29116c340e5456724ecd2fff4196d236b98f3da97b404bc5e51ac3493/charset_normalizer-3.4.7-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:202389074300232baeb53ae2569a60901f7efadd4245cf3a3bf0617d60b439d7", size = 206419, upload-time = "2026-04-02T09:26:03.583Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/02/e8146dc6591a37a00e5144c63f29fb7c97a734ea8a111190783c0e60ab63/charset_normalizer-3.4.7-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:30b8d1d8c52a48c2c5690e152c169b673487a2a58de1ec7393196753063fcd5e", size = 227901, upload-time = "2026-04-02T09:26:04.738Z" },
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