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17 changes: 9 additions & 8 deletions examples/filters/langfuse_v3_filter_pipeline.py
Original file line number Diff line number Diff line change
Expand Up @@ -313,19 +313,20 @@ async def outlet(self, body: dict, user: Optional[dict] = None) -> dict:
assistant_message = get_last_assistant_message(body["messages"])
assistant_message_obj = get_last_assistant_message_obj(body["messages"])

usage = None
usage_details = None
if assistant_message_obj:
info = assistant_message_obj.get("usage", {})
if isinstance(info, dict):
input_tokens = info.get("prompt_eval_count") or info.get("prompt_tokens")
output_tokens = info.get("eval_count") or info.get("completion_tokens")
if input_tokens is not None and output_tokens is not None:
usage = {
"input": input_tokens,
"output": output_tokens,
"unit": "TOKENS",
# Langfuse v3 token aggregation expects usage_details.
usage_details = {
"input": int(input_tokens),
"output": int(output_tokens),
"total": int(input_tokens) + int(output_tokens),
}
self.log(f"Usage data extracted: {usage}")
self.log(f"Usage data extracted: {usage_details}")

# Update the trace with complete output information
trace = self.chat_traces[chat_id]
Expand Down Expand Up @@ -387,8 +388,8 @@ async def outlet(self, body: dict, user: Optional[dict] = None) -> dict:
)

# Update with usage if available
if usage:
generation.update(usage=usage)
if usage_details:
generation.update(usage_details=usage_details)

generation.end()
self.log(f"LLM generation completed for chat_id: {chat_id}")
Expand Down