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[Feature][gpt-oss] Add support for num_cached_tokens and num_reasoning_tokens tracking (#23460)

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Signed-off-by: George Nagy II <george.nagy0969@gmail.com>
Signed-off-by: Chen Zhang <zhangch99@outlook.com>
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George Nagy II 2025-09-03 15:08:47 -06:00 committed by GitHub
parent a43a3f1770
commit 36c260dad6
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1 changed files with 21 additions and 0 deletions
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21
vllm/entrypoints/context.py
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@ -93,17 +93,35 @@ class HarmonyContext(ConversationContext):
# as new prompt each time. Hence the sum.
self.num_prompt_tokens += len(output.prompt_token_ids)
def _update_num_cached_tokens(self, output: RequestOutput):
if output.num_cached_tokens is not None:
#Similar to num_prompt_tokens
self.num_cached_tokens += output.num_cached_tokens
def _update_num_output_tokens(self, token_ids: Sequence[int]):
self.num_output_tokens += len(token_ids)
def _update_num_reasoning_tokens(self, token_ids: Sequence[int]):
# Count tokens that are part of reasoning content (analysis channel
# or tool-directed messages like python/browser calls)
is_analysis = self.parser.current_channel == "analysis"
is_tool_call = (self.parser.current_recipient is not None and
(self.parser.current_recipient.startswith("python") or
self.parser.current_recipient.startswith("browser.")))
if is_analysis or is_tool_call:
self.num_reasoning_tokens += len(token_ids)
def append_output(self, output) -> None:
if isinstance(output, RequestOutput):
self._update_num_prompt_tokens(output)
self._update_num_cached_tokens(output)
output_token_ids = output.outputs[0].token_ids
self._update_num_output_tokens(output_token_ids)
self.parser = get_streamable_parser_for_assistant()
for token_id in output_token_ids:
self.parser.process(token_id)
# Check if the current token is part of reasoning content
self._update_num_reasoning_tokens([token_id])
output_msgs = self.parser.messages
else:
# Tool output.
@ -204,6 +222,7 @@ class StreamingHarmonyContext(HarmonyContext):
# so we only want to add the prompt tokens once for each message.
if self.first_tok_of_message:
self._update_num_prompt_tokens(output)
self._update_num_cached_tokens(output)
# Reset self.first_tok_of_message if needed:
# if the current token is the last one of the current message
# (finished=True), then the next token processed will mark the
@ -212,6 +231,8 @@ class StreamingHarmonyContext(HarmonyContext):
tok = output.outputs[0].token_ids[0]
self.parser.process(tok)
self._update_num_output_tokens(output.outputs[0].token_ids)
# Check if the current token is part of reasoning content
self._update_num_reasoning_tokens([tok])
self.last_tok = tok
else:
# Handle the case of tool output in direct message format