diff --git a/cli/planoai/obs/collector.py b/cli/planoai/obs/collector.py
index 9308c4b6..92875369 100644
--- a/cli/planoai/obs/collector.py
+++ b/cli/planoai/obs/collector.py
@@ -15,7 +15,6 @@ from opentelemetry.proto.collector.trace.v1 import (
     trace_service_pb2_grpc,
 )
 
-
 DEFAULT_GRPC_PORT = 4317
 DEFAULT_CAPACITY = 1000
 
@@ -198,9 +197,9 @@ def span_to_llm_call(
         route_name=(
             str(attrs[_PLANO_ROUTE_NAME]) if _PLANO_ROUTE_NAME in attrs else None
         ),
-        is_streaming=bool(attrs[_LLM_IS_STREAMING])
-        if _LLM_IS_STREAMING in attrs
-        else None,
+        is_streaming=(
+            bool(attrs[_LLM_IS_STREAMING]) if _LLM_IS_STREAMING in attrs else None
+        ),
         status_code=_maybe_int(attrs.get(_HTTP_STATUS)),
         prompt_tokens=_maybe_int(attrs.get(_LLM_PROMPT_TOKENS)),
         completion_tokens=_maybe_int(attrs.get(_LLM_COMPLETION_TOKENS)),
diff --git a/cli/planoai/obs/pricing.py b/cli/planoai/obs/pricing.py
index 5c36c751..406b2cad 100644
--- a/cli/planoai/obs/pricing.py
+++ b/cli/planoai/obs/pricing.py
@@ -13,7 +13,6 @@ from typing import Any
 
 import requests
 
-
 DEFAULT_PRICING_URL = "https://api.digitalocean.com/v2/gen-ai/models/catalog"
 FETCH_TIMEOUT_SECS = 5.0
 
diff --git a/cli/planoai/obs/render.py b/cli/planoai/obs/render.py
index 47a3742e..602b8aed 100644
--- a/cli/planoai/obs/render.py
+++ b/cli/planoai/obs/render.py
@@ -271,7 +271,11 @@ def _recent_table(calls: list[LLMCall], limit: int = 15) -> Table:
 
     recent = list(reversed(calls))[:limit]
     for c in recent:
-        status_cell = "ok" if c.status_code and 200 <= c.status_code < 400 else str(c.status_code or "—")
+        status_cell = (
+            "ok"
+            if c.status_code and 200 <= c.status_code < 400
+            else str(c.status_code or "—")
+        )
         row = [
             c.timestamp.strftime("%H:%M:%S"),
             c.model,
diff --git a/cli/test/test_obs_collector.py b/cli/test/test_obs_collector.py
index 6a503337..a16506d9 100644
--- a/cli/test/test_obs_collector.py
+++ b/cli/test/test_obs_collector.py
@@ -28,7 +28,9 @@ def _mk_attr(key: str, value):
     return kv
 
 
-def _mk_span(attrs: dict, start_ns: int | None = None, span_id_hex: str = "ab") -> MagicMock:
+def _mk_span(
+    attrs: dict, start_ns: int | None = None, span_id_hex: str = "ab"
+) -> MagicMock:
     span = MagicMock()
     span.attributes = [_mk_attr(k, v) for k, v in attrs.items()]
     span.start_time_unix_nano = start_ns or int(time.time() * 1_000_000_000)
@@ -84,7 +86,9 @@ def test_pricing_lookup_attaches_cost():
     class StubPricing:
         def cost_for_call(self, call):
             # Simple: 2 * prompt + 3 * completion, in cents
-            return 0.02 * (call.prompt_tokens or 0) + 0.03 * (call.completion_tokens or 0)
+            return 0.02 * (call.prompt_tokens or 0) + 0.03 * (
+                call.completion_tokens or 0
+            )
 
     span = _mk_span(
         {
diff --git a/cli/test/test_obs_render.py b/cli/test/test_obs_render.py
index b6438e63..11f4a1fc 100644
--- a/cli/test/test_obs_render.py
+++ b/cli/test/test_obs_render.py
@@ -4,7 +4,17 @@ from planoai.obs.collector import LLMCall
 from planoai.obs.render import aggregates, model_rollups, route_hits
 
 
-def _call(model: str, ts: datetime, prompt=0, completion=0, cost=None, route=None, session=None, cache_read=0, cache_write=0):
+def _call(
+    model: str,
+    ts: datetime,
+    prompt=0,
+    completion=0,
+    cost=None,
+    route=None,
+    session=None,
+    cache_read=0,
+    cache_write=0,
+):
     return LLMCall(
         request_id="r",
         timestamp=ts,
@@ -22,9 +32,30 @@ def _call(model: str, ts: datetime, prompt=0, completion=0, cost=None, route=Non
 def test_aggregates_sum_and_session_counts():
     now = datetime.now(tz=timezone.utc).astimezone()
     calls = [
-        _call("m1", now - timedelta(seconds=50), prompt=10, completion=5, cost=0.001, session="s1"),
-        _call("m2", now - timedelta(seconds=40), prompt=20, completion=10, cost=0.002, session="s1"),
-        _call("m1", now - timedelta(seconds=30), prompt=30, completion=15, cost=0.003, session="s2"),
+        _call(
+            "m1",
+            now - timedelta(seconds=50),
+            prompt=10,
+            completion=5,
+            cost=0.001,
+            session="s1",
+        ),
+        _call(
+            "m2",
+            now - timedelta(seconds=40),
+            prompt=20,
+            completion=10,
+            cost=0.002,
+            session="s1",
+        ),
+        _call(
+            "m1",
+            now - timedelta(seconds=30),
+            prompt=30,
+            completion=15,
+            cost=0.003,
+            session="s2",
+        ),
     ]
     stats = aggregates(calls)
     assert stats.count == 3
@@ -38,7 +69,9 @@ def test_aggregates_sum_and_session_counts():
 def test_rollups_split_by_model_and_cache():
     now = datetime.now(tz=timezone.utc).astimezone()
     calls = [
-        _call("m1", now, prompt=10, completion=5, cost=0.001, cache_write=3, cache_read=7),
+        _call(
+            "m1", now, prompt=10, completion=5, cost=0.001, cache_write=3, cache_read=7
+        ),
         _call("m1", now, prompt=20, completion=10, cost=0.002, cache_read=1),
         _call("m2", now, prompt=30, completion=15, cost=0.004),
     ]