This commit is contained in:
Tim Baek
2026-02-01 10:06:52 +04:00
parent 7bb3a827bb
commit 75e5a485d2
2 changed files with 57 additions and 5 deletions
@@ -269,6 +269,50 @@ class ChatMessageTable:
results = query.group_by(ChatMessage.model_id).all()
return {row.model_id: row.count for row in results}
def get_token_usage_by_model(
self,
start_date: Optional[int] = None,
end_date: Optional[int] = None,
db: Optional[Session] = None,
) -> dict[str, dict]:
"""Aggregate token usage by model. Works with SQLite and PostgreSQL."""
with get_db_context(db) as db:
query = db.query(
ChatMessage.model_id,
ChatMessage.usage,
).filter(
ChatMessage.role == "assistant",
ChatMessage.model_id.isnot(None),
ChatMessage.usage.isnot(None),
)
if start_date:
query = query.filter(ChatMessage.created_at >= start_date)
if end_date:
query = query.filter(ChatMessage.created_at <= end_date)
results = query.all()
# Aggregate in Python for cross-database compatibility
usage_by_model: dict[str, dict] = {}
for model_id, usage in results:
if model_id not in usage_by_model:
usage_by_model[model_id] = {
"input_tokens": 0,
"output_tokens": 0,
"message_count": 0,
}
usage_by_model[model_id]["input_tokens"] += usage.get("input_tokens") or 0
usage_by_model[model_id]["output_tokens"] += usage.get("output_tokens") or 0
usage_by_model[model_id]["message_count"] += 1
# Add total_tokens
for data in usage_by_model.values():
data["total_tokens"] = data["input_tokens"] + data["output_tokens"]
return usage_by_model
def get_message_count_by_user(
self,
start_date: Optional[int] = None,
+13 -5
View File
@@ -3001,6 +3001,7 @@ async def process_chat_response(
"content": content,
}
]
usage = None
reasoning_tags_param = metadata.get("params", {}).get("reasoning_tags")
DETECT_REASONING_TAGS = reasoning_tags_param is not False
@@ -3122,11 +3123,11 @@ async def process_chat_response(
else:
choices = data.get("choices", [])
# 17421 - Normalize usage data to standard format
usage = data.get("usage", {}) or {}
usage.update(data.get("timings", {})) # llama.cpp
if usage:
usage = normalize_usage(usage)
# Normalize usage data to standard format
raw_usage = data.get("usage", {}) or {}
raw_usage.update(data.get("timings", {})) # llama.cpp
if raw_usage:
usage = normalize_usage(raw_usage)
await event_emitter(
{
"type": "chat:completion",
@@ -3924,8 +3925,15 @@ async def process_chat_response(
{
"content": serialize_output(output),
"output": output,
**({"usage": usage} if usage else {}),
},
)
elif usage:
Chats.upsert_message_to_chat_by_id_and_message_id(
metadata["chat_id"],
metadata["message_id"],
{"usage": usage},
)
# Send a webhook notification if the user is not active
if not Users.is_user_active(user.id):