chore: ran linting

surfsense_backend/alembic/versions/125_add_token_usage_table.py

@@ -33,7 +33,9 @@ def upgrade() -> None:
         "token_usage",
         sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
         sa.Column("prompt_tokens", sa.Integer(), nullable=False, server_default="0"),
-        sa.Column("completion_tokens", sa.Integer(), nullable=False, server_default="0"),
+        sa.Column(
+            "completion_tokens", sa.Integer(), nullable=False, server_default="0"
+        ),
         sa.Column("total_tokens", sa.Integer(), nullable=False, server_default="0"),
         sa.Column("model_breakdown", JSONB, nullable=True),
         sa.Column("call_details", JSONB, nullable=True),
@@ -72,7 +74,9 @@ def upgrade() -> None:
 
     op.create_index("ix_token_usage_thread_id", "token_usage", ["thread_id"])
     op.create_index("ix_token_usage_message_id", "token_usage", ["message_id"])
-    op.create_index("ix_token_usage_search_space_id", "token_usage", ["search_space_id"])
+    op.create_index(
+        "ix_token_usage_search_space_id", "token_usage", ["search_space_id"]
+    )
     op.create_index("ix_token_usage_user_id", "token_usage", ["user_id"])
     op.create_index("ix_token_usage_usage_type", "token_usage", ["usage_type"])
 

surfsense_backend/app/routes/new_chat_routes.py

@@ -498,7 +498,9 @@ async def get_thread_messages(
                 author_id=msg.author_id,
                 author_display_name=msg.author.display_name if msg.author else None,
                 author_avatar_url=msg.author.avatar_url if msg.author else None,
-                token_usage=TokenUsageSummary.model_validate(msg.token_usage) if msg.token_usage else None,
+                token_usage=TokenUsageSummary.model_validate(msg.token_usage)
+                if msg.token_usage
+                else None,
             )
             for msg in db_messages
         ]

surfsense_backend/app/services/llm_service.py

@@ -15,6 +15,7 @@ from app.services.llm_router_service import (
     get_auto_mode_llm,
     is_auto_mode,
 )
+from app.services.token_tracking_service import token_tracker
 
 # Configure litellm to automatically drop unsupported parameters
 litellm.drop_params = True
@@ -25,8 +26,6 @@ litellm.cache = None
 litellm.failure_callback = []
 litellm.input_callback = []
 
-from app.services.token_tracking_service import token_tracker
-
 litellm.callbacks = [token_tracker]
 
 logger = logging.getLogger(__name__)

surfsense_backend/app/services/token_tracking_service.py

@@ -117,12 +117,16 @@ class TokenTrackingCallback(CustomLogger):
     ) -> None:
         acc = _turn_accumulator.get()
         if acc is None:
-            logger.debug("[TokenTracking] async_log_success_event fired but no accumulator in context")
+            logger.debug(
+                "[TokenTracking] async_log_success_event fired but no accumulator in context"
+            )
             return
 
         usage = getattr(response_obj, "usage", None)
         if not usage:
-            logger.debug("[TokenTracking] async_log_success_event fired but response has no usage data")
+            logger.debug(
+                "[TokenTracking] async_log_success_event fired but response has no usage data"
+            )
             return
 
         prompt_tokens = getattr(usage, "prompt_tokens", 0) or 0
@@ -139,7 +143,11 @@ class TokenTrackingCallback(CustomLogger):
         )
         logger.info(
             "[TokenTracking] Captured: model=%s prompt=%d completion=%d total=%d (accumulator now has %d calls)",
-            model, prompt_tokens, completion_tokens, total_tokens, len(acc.calls),
+            model,
+            prompt_tokens,
+            completion_tokens,
+            total_tokens,
+            len(acc.calls),
         )
 
 
@@ -187,11 +195,16 @@ async def record_token_usage(
         session.add(record)
         logger.debug(
             "[TokenTracking] recorded %s usage: prompt=%d completion=%d total=%d",
-            usage_type, prompt_tokens, completion_tokens, total_tokens,
+            usage_type,
+            prompt_tokens,
+            completion_tokens,
+            total_tokens,
         )
         return record
     except Exception:
         logger.warning(
-            "[TokenTracking] failed to record %s token usage", usage_type, exc_info=True,
+            "[TokenTracking] failed to record %s token usage",
+            usage_type,
+            exc_info=True,
         )
         return None

surfsense_backend/app/tasks/chat/stream_new_chat.py

@@ -1475,17 +1475,22 @@ async def stream_new_chat(
                 """
                 try:
                     from litellm import acompletion
+
                     from app.services.llm_router_service import LLMRouterService
                     from app.services.token_tracking_service import _turn_accumulator
 
                     _turn_accumulator.set(None)
 
-                    prompt = TITLE_GENERATION_PROMPT.replace("{user_query}", user_query[:500])
+                    prompt = TITLE_GENERATION_PROMPT.replace(
+                        "{user_query}", user_query[:500]
+                    )
                     messages = [{"role": "user", "content": prompt}]
 
                     if getattr(llm, "model", None) == "auto":
                         router = LLMRouterService.get_router()
-                        response = await router.acompletion(model="auto", messages=messages)
+                        response = await router.acompletion(
+                            model="auto", messages=messages
+                        )
                     else:
                         response = await acompletion(
                             model=llm.model,
@@ -1498,11 +1503,16 @@ async def stream_new_chat(
                     usage = getattr(response, "usage", None)
                     if usage:
                         raw_model = getattr(llm, "model", "") or ""
-                        model_name = raw_model.split("/", 1)[-1] if "/" in raw_model else (raw_model or response.model or "unknown")
+                        model_name = (
+                            raw_model.split("/", 1)[-1]
+                            if "/" in raw_model
+                            else (raw_model or response.model or "unknown")
+                        )
                         usage_info = {
                             "model": model_name,
                             "prompt_tokens": getattr(usage, "prompt_tokens", 0) or 0,
-                            "completion_tokens": getattr(usage, "completion_tokens", 0) or 0,
+                            "completion_tokens": getattr(usage, "completion_tokens", 0)
+                            or 0,
                             "total_tokens": getattr(usage, "total_tokens", 0) or 0,
                         }
 
@@ -1511,7 +1521,9 @@ async def stream_new_chat(
                         return raw_title.strip("\"'"), usage_info
                     return None, usage_info
                 except Exception:
-                    logging.getLogger(__name__).exception("[TitleGen] _generate_title failed")
+                    logging.getLogger(__name__).exception(
+                        "[TitleGen] _generate_title failed"
+                    )
                     return None, None
 
             title_task = asyncio.create_task(_generate_title())
@@ -1575,16 +1587,21 @@ async def stream_new_chat(
             usage_summary = accumulator.per_message_summary()
             _perf_log.info(
                 "[token_usage] interrupted new_chat: calls=%d total=%d summary=%s",
-                len(accumulator.calls), accumulator.grand_total, usage_summary,
+                len(accumulator.calls),
+                accumulator.grand_total,
+                usage_summary,
             )
             if usage_summary:
-                yield streaming_service.format_data("token-usage", {
-                    "usage": usage_summary,
-                    "prompt_tokens": accumulator.total_prompt_tokens,
-                    "completion_tokens": accumulator.total_completion_tokens,
-                    "total_tokens": accumulator.grand_total,
-                    "call_details": accumulator.serialized_calls(),
-                })
+                yield streaming_service.format_data(
+                    "token-usage",
+                    {
+                        "usage": usage_summary,
+                        "prompt_tokens": accumulator.total_prompt_tokens,
+                        "completion_tokens": accumulator.total_completion_tokens,
+                        "total_tokens": accumulator.grand_total,
+                        "call_details": accumulator.serialized_calls(),
+                    },
+                )
 
             yield streaming_service.format_finish_step()
             yield streaming_service.format_finish()
@@ -1612,16 +1629,21 @@ async def stream_new_chat(
         usage_summary = accumulator.per_message_summary()
         _perf_log.info(
             "[token_usage] normal new_chat: calls=%d total=%d summary=%s",
-            len(accumulator.calls), accumulator.grand_total, usage_summary,
+            len(accumulator.calls),
+            accumulator.grand_total,
+            usage_summary,
         )
         if usage_summary:
-            yield streaming_service.format_data("token-usage", {
-                "usage": usage_summary,
-                "prompt_tokens": accumulator.total_prompt_tokens,
-                "completion_tokens": accumulator.total_completion_tokens,
-                "total_tokens": accumulator.grand_total,
-                "call_details": accumulator.serialized_calls(),
-            })
+            yield streaming_service.format_data(
+                "token-usage",
+                {
+                    "usage": usage_summary,
+                    "prompt_tokens": accumulator.total_prompt_tokens,
+                    "completion_tokens": accumulator.total_completion_tokens,
+                    "total_tokens": accumulator.grand_total,
+                    "call_details": accumulator.serialized_calls(),
+                },
+            )
 
         # Fire background memory extraction if the agent didn't handle it.
         # Shared threads write to team memory; private threads write to user memory.
@@ -1870,16 +1892,21 @@ async def stream_resume_chat(
             usage_summary = accumulator.per_message_summary()
             _perf_log.info(
                 "[token_usage] interrupted resume_chat: calls=%d total=%d summary=%s",
-                len(accumulator.calls), accumulator.grand_total, usage_summary,
+                len(accumulator.calls),
+                accumulator.grand_total,
+                usage_summary,
             )
             if usage_summary:
-                yield streaming_service.format_data("token-usage", {
-                    "usage": usage_summary,
-                    "prompt_tokens": accumulator.total_prompt_tokens,
-                    "completion_tokens": accumulator.total_completion_tokens,
-                    "total_tokens": accumulator.grand_total,
-                    "call_details": accumulator.serialized_calls(),
-                })
+                yield streaming_service.format_data(
+                    "token-usage",
+                    {
+                        "usage": usage_summary,
+                        "prompt_tokens": accumulator.total_prompt_tokens,
+                        "completion_tokens": accumulator.total_completion_tokens,
+                        "total_tokens": accumulator.grand_total,
+                        "call_details": accumulator.serialized_calls(),
+                    },
+                )
 
             yield streaming_service.format_finish_step()
             yield streaming_service.format_finish()
@@ -1889,16 +1916,21 @@ async def stream_resume_chat(
         usage_summary = accumulator.per_message_summary()
         _perf_log.info(
             "[token_usage] normal resume_chat: calls=%d total=%d summary=%s",
-            len(accumulator.calls), accumulator.grand_total, usage_summary,
+            len(accumulator.calls),
+            accumulator.grand_total,
+            usage_summary,
         )
         if usage_summary:
-            yield streaming_service.format_data("token-usage", {
-                "usage": usage_summary,
-                "prompt_tokens": accumulator.total_prompt_tokens,
-                "completion_tokens": accumulator.total_completion_tokens,
-                "total_tokens": accumulator.grand_total,
-                "call_details": accumulator.serialized_calls(),
-            })
+            yield streaming_service.format_data(
+                "token-usage",
+                {
+                    "usage": usage_summary,
+                    "prompt_tokens": accumulator.total_prompt_tokens,
+                    "completion_tokens": accumulator.total_completion_tokens,
+                    "total_tokens": accumulator.grand_total,
+                    "call_details": accumulator.serialized_calls(),
+                },
+            )
 
         yield streaming_service.format_finish_step()
         yield streaming_service.format_finish()