fix: workflow token usage (#26723)

Signed-off-by: kenwoodjw <blackxin55+@gmail.com>
This commit is contained in:
kenwoodjw
2025-10-15 10:39:51 +08:00
committed by GitHub
parent f906e70f6b
commit c39dae06d4

View File

@@ -7,6 +7,7 @@ from collections.abc import Mapping
from functools import singledispatchmethod
from typing import TYPE_CHECKING, final
from core.model_runtime.entities.llm_entities import LLMUsage
from core.workflow.entities import GraphRuntimeState
from core.workflow.enums import ErrorStrategy, NodeExecutionType
from core.workflow.graph import Graph
@@ -125,6 +126,7 @@ class EventHandler:
node_execution = self._graph_execution.get_or_create_node_execution(event.node_id)
is_initial_attempt = node_execution.retry_count == 0
node_execution.mark_started(event.id)
self._graph_runtime_state.increment_node_run_steps()
# Track in response coordinator for stream ordering
self._response_coordinator.track_node_execution(event.node_id, event.id)
@@ -163,6 +165,8 @@ class EventHandler:
node_execution = self._graph_execution.get_or_create_node_execution(event.node_id)
node_execution.mark_taken()
self._accumulate_node_usage(event.node_run_result.llm_usage)
# Store outputs in variable pool
self._store_node_outputs(event.node_id, event.node_run_result.outputs)
@@ -212,6 +216,8 @@ class EventHandler:
node_execution.mark_failed(event.error)
self._graph_execution.record_node_failure()
self._accumulate_node_usage(event.node_run_result.llm_usage)
result = self._error_handler.handle_node_failure(event)
if result:
@@ -235,6 +241,8 @@ class EventHandler:
node_execution = self._graph_execution.get_or_create_node_execution(event.node_id)
node_execution.mark_taken()
self._accumulate_node_usage(event.node_run_result.llm_usage)
# Persist outputs produced by the exception strategy (e.g. default values)
self._store_node_outputs(event.node_id, event.node_run_result.outputs)
@@ -286,6 +294,19 @@ class EventHandler:
self._state_manager.enqueue_node(event.node_id)
self._state_manager.start_execution(event.node_id)
def _accumulate_node_usage(self, usage: LLMUsage) -> None:
"""Accumulate token usage into the shared runtime state."""
if usage.total_tokens <= 0:
return
self._graph_runtime_state.add_tokens(usage.total_tokens)
current_usage = self._graph_runtime_state.llm_usage
if current_usage.total_tokens == 0:
self._graph_runtime_state.llm_usage = usage
else:
self._graph_runtime_state.llm_usage = current_usage.plus(usage)
def _store_node_outputs(self, node_id: str, outputs: Mapping[str, object]) -> None:
"""
Store node outputs in the variable pool.