feat: add option to disable testnut mock upstream

#282 more filter options

example.py

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

examples/balance/check_balance.py

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

examples/balance/create_balance.py

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

examples/balance/refund_balance.py

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

examples/balance/topup_balance.py

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

examples/chat_completions.py

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

examples/list_models.py

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

examples/responses/conversation.py

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

examples/responses/create.py

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

examples/responses/streaming_response.py

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

examples/responses/web_search.py

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

examples/streaming.py

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

examples/tor.py

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

pyproject.toml

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

routstr/core/admin.py

@@ -3080,6 +3080,9 @@ async def get_logs_api(
     level: str | None = None,
     request_id: str | None = None,
     search: str | None = None,
+    status_codes: str | None = Query(None, description="Comma-separated status codes"),
+    methods: str | None = Query(None, description="Comma-separated HTTP methods"),
+    endpoints: str | None = Query(None, description="Comma-separated endpoints"),
     limit: int = 100,
 ) -> dict[str, object]:
     """
@@ -3090,16 +3093,32 @@ async def get_logs_api(
         level: Filter by log level
         request_id: Filter by request ID
         search: Search text in message and name fields (case-insensitive)
+        status_codes: Comma-separated list of HTTP status codes
+        methods: Comma-separated list of HTTP methods
+        endpoints: Comma-separated list of endpoints
         limit: Maximum number of entries to return
 
     Returns:
         Dict containing logs and filter metadata
     """
+    status_code_list = None
+    if status_codes:
+        try:
+            status_code_list = [int(s.strip()) for s in status_codes.split(",")]
+        except ValueError:
+            pass
+
+    method_list = [m.strip() for m in methods.split(",")] if methods else None
+    endpoint_list = [e.strip() for e in endpoints.split(",")] if endpoints else None
+
     log_entries = log_manager.search_logs(
         date=date,
         level=level,
         request_id=request_id,
         search_text=search,
+        status_codes=status_code_list,
+        methods=method_list,
+        endpoints=endpoint_list,
         limit=limit,
     )
 
@@ -3110,6 +3129,9 @@ async def get_logs_api(
         "level": level,
         "request_id": request_id,
         "search": search,
+        "status_codes": status_codes,
+        "methods": methods,
+        "endpoints": endpoints,
         "limit": limit,
     }
 

routstr/core/log_manager.py

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

routstr/core/settings.py

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

routstr/payment/cost_calculation.py

@@ -48,13 +48,6 @@ async def calculate_cost(  # todo: can be sync
         },
     )
 
-    cost_data = MaxCostData(
-        base_msats=max_cost,
-        input_msats=0,
-        output_msats=0,
-        total_msats=max_cost,
-    )
-
     if "usage" not in response_data or response_data["usage"] is None:
         logger.warning(
             "No usage data in response, using base cost only",
@@ -63,7 +56,12 @@ async def calculate_cost(  # todo: can be sync
                 "model": response_data.get("model", "unknown"),
             },
         )
-        return cost_data
+        return MaxCostData(
+            base_msats=0,
+            input_msats=0,
+            output_msats=0,
+            total_msats=0,
+        )
 
     usage_data = response_data["usage"]
 
@@ -178,7 +176,12 @@ async def calculate_cost(  # todo: can be sync
                 "model": response_data.get("model", "unknown"),
             },
         )
-        return cost_data
+        return MaxCostData(
+            base_msats=max_cost,
+            input_msats=0,
+            output_msats=0,
+            total_msats=max_cost,
+        )
 
     input_tokens = usage_data.get("prompt_tokens", 0)
     output_tokens = usage_data.get("completion_tokens", 0)
@@ -191,6 +194,18 @@ async def calculate_cost(  # todo: can be sync
         output_tokens if output_tokens != 0 else usage_data.get("output_tokens", 0)
     )
 
+    # added for response api
+    input_tokens = (
+        input_tokens
+        if input_tokens != 0
+        else response_data.get("usage", {}).get("input_tokens", 0)
+    )
+    output_tokens = (
+        output_tokens
+        if output_tokens != 0
+        else response_data.get("usage", {}).get("output_tokens", 0)
+    )
+
     input_msats = round(input_tokens / 1000 * MSATS_PER_1K_INPUT_TOKENS, 3)
 
     output_msats = round(output_tokens / 1000 * MSATS_PER_1K_OUTPUT_TOKENS, 3)

routstr/proxy.py

@@ -16,6 +16,7 @@ from .core.db import (
     create_session,
     get_session,
 )
+from .core.settings import settings
 from .payment.helpers import (
     calculate_discounted_max_cost,
     check_token_balance,
@@ -25,6 +26,7 @@ from .payment.helpers import (
 from .payment.models import Model
 from .upstream import BaseUpstreamProvider
 from .upstream.helpers import init_upstreams
+from .wallet import deserialize_token_from_string
 
 logger = get_logger(__name__)
 proxy_router = APIRouter()
@@ -137,20 +139,35 @@ async def proxy(
             "unauthorized", "Unauthorized", 401, request=request
         )
 
-    logger.info(  # TODO: move to middleware, async
-        "Received proxy request",
-        extra={
-            "method": request.method,
-            "path": path,
-            "client_host": request.client.host if request.client else "unknown",
-            "user_agent": request.headers.get("user-agent", "unknown")[:100],
-        },
-    )
-
+    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)
 
-    model_id = request_body_dict.get("model", "unknown")
+    if is_responses_api:
+        model_id = extract_model_from_responses_request(request_body_dict)
+    else:
+        model_id = request_body_dict.get("model", "unknown")
+
+    if (
+        "https://testnut.cashu.space" in settings.cashu_mints
+        and not settings.disable_testnut_mock_upstream
+    ):
+        try:
+            token_str = None
+            if x_cashu_header := headers.get("x-cashu"):
+                token_str = x_cashu_header
+            elif auth_header := headers.get("authorization"):
+                parts = auth_header.split(" ")
+                if len(parts) > 1 and not parts[1].startswith("sk-"):
+                    token_str = parts[1]
+
+            if token_str:
+                token_obj = deserialize_token_from_string(token_str)
+                if token_obj.mint == "https://testnut.cashu.space":
+                    model_id = "mock/gpt-420-mock"
+                    request_body_dict["model"] = model_id
+        except Exception:
+            pass
 
     model_obj = get_model_instance(model_id)
     if not model_obj:
@@ -176,9 +193,14 @@ async def proxy(
     check_token_balance(headers, request_body_dict, max_cost_for_model)
 
     if x_cashu := headers.get("x-cashu", None):
-        return await upstream.handle_x_cashu(
-            request, x_cashu, path, max_cost_for_model, model_obj
-        )
+        if is_responses_api:
+            return await upstream.handle_x_cashu_responses(
+                request, x_cashu, path, max_cost_for_model, model_obj
+            )
+        else:
+            return await upstream.handle_x_cashu(
+                request, x_cashu, path, max_cost_for_model, model_obj
+            )
 
     elif auth := headers.get("authorization", None):
         key = await get_bearer_token_key(headers, path, session, auth)
@@ -193,28 +215,36 @@ async def proxy(
             )
 
         logger.debug("Processing unauthenticated GET request", extra={"path": path})
-        # TODO: why is this needed? can we remove it?
         headers = upstream.prepare_headers(dict(request.headers))
         return await upstream.forward_get_request(request, path, headers)
 
-    # Only pay for request if we have request body data (for completions endpoints)
     if request_body_dict:
         await pay_for_request(key, max_cost_for_model, session)
 
-    # Prepare headers for upstream
     headers = upstream.prepare_headers(dict(request.headers))
 
-    # Forward to upstream and handle response
-    response = await upstream.forward_request(
-        request,
-        path,
-        headers,
-        request_body,
-        key,
-        max_cost_for_model,
-        session,
-        model_obj,
-    )
+    if is_responses_api:
+        response = await upstream.forward_responses_request(
+            request,
+            path,
+            headers,
+            request_body,
+            key,
+            max_cost_for_model,
+            session,
+            model_obj,
+        )
+    else:
+        response = await upstream.forward_request(
+            request,
+            path,
+            headers,
+            request_body,
+            key,
+            max_cost_for_model,
+            session,
+            model_obj,
+        )
 
     if response.status_code != 200:
         await revert_pay_for_request(key, session, max_cost_for_model)
@@ -317,6 +347,24 @@ async def get_bearer_token_key(
         raise
 
 
+def extract_model_from_responses_request(request_body_dict: dict[str, Any]) -> str:
+    if model := request_body_dict.get("model"):
+        return model
+
+    if input_data := request_body_dict.get("input"):
+        if isinstance(input_data, dict) and (model := input_data.get("model")):
+            return model
+
+    if request_body_dict.get("messages"):
+        return "unknown"
+
+    logger.warning(
+        "No model found in Responses API request",
+        extra={"body_keys": list(request_body_dict.keys())},
+    )
+    return "unknown"
+
+
 def parse_request_body_json(request_body: bytes, path: str) -> dict[str, Any]:
     request_body_dict = {}
     if request_body:

routstr/upstream/fake.py

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

routstr/upstream/helpers.py

@@ -218,6 +218,17 @@ async def init_upstreams() -> list[BaseUpstreamProvider]:
         results = await asyncio.gather(*tasks)
         upstreams = [p for p in results if p is not None]
 
+        if (
+            "https://testnut.cashu.space" in settings.cashu_mints
+            and not settings.disable_testnut_mock_upstream
+        ):
+            from .fake import MockUpstreamProvider
+
+            mock_provider = MockUpstreamProvider("mock", "mock")
+            await mock_provider.refresh_models_cache()
+            upstreams.append(mock_provider)
+            logger.info("Initialized MockUpstreamProvider for testnut mint")
+
         return upstreams
 
 

routstr/wallet.py

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

ui/app/logs/log-filters.tsx

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

ui/app/logs/page.tsx

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

ui/app/logs/types.ts

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