fix: bucket subagent token usage into parent run totals (#2838)

* fix: bucket subagent token usage into RunRow.subagent_tokens Add caller-bucketed token tracking to RunJournal so subagent and middleware LLM calls are written to the correct RunRow columns instead of all falling into lead_agent_tokens (default 0). - RunJournal: accumulate _lead_agent_tokens / _subagent_tokens / _middleware_tokens in on_llm_end, deduped by langchain run_id. Add record_external_llm_usage_records() for external sources (respects track_token_usage flag). Return caller buckets from get_completion_data(). - SubagentTokenCollector: new lightweight callback handler that collects LLM usage within subagent execution. - SubagentExecutor: wire collector into subagent run_config and sync records to SubagentResult on every chunk (timeout/cancel safe). - SubagentResult: add token_usage_records and usage_reported fields. - task_tool: report subagent usage to parent RunJournal on every terminal status (COMPLETED/FAILED/CANCELLED/TIMED_OUT), including the CancelledError path, guarded against double-reporting. No DB migration needed — RunRow columns already exist. * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * fix: address token usage review feedback * Address review follow-ups --------- Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
2026-05-23 00:16:48 +00:00 · 2026-05-10 22:47:30 +08:00
parent 94da8f67d7
commit 9892a7d468
8 changed files with 843 additions and 77 deletions
@@ -63,6 +63,15 @@ class RunJournal(BaseCallbackHandler):
        self._total_tokens = 0
        self._llm_call_count = 0

+        # Caller-bucketed token accumulators
+        self._lead_agent_tokens = 0
+        self._subagent_tokens = 0
+        self._middleware_tokens = 0
+
+        # Dedup: LangChain may fire on_llm_end multiple times for the same run_id
+        self._counted_llm_run_ids: set[str] = set()
+        self._counted_external_source_ids: set[str] = set()
+
        # Convenience fields
        self._last_ai_msg: str | None = None
        self._first_human_msg: str | None = None
@@ -214,19 +223,28 @@ class RunJournal(BaseCallbackHandler):
                },
            )

-            # Token accumulation
+            # Token accumulation (dedup by langchain run_id to avoid double-counting
+            # when the callback fires more than once for the same response)
            if self._track_tokens:
                input_tk = usage_dict.get("input_tokens", 0) or 0
                output_tk = usage_dict.get("output_tokens", 0) or 0
                total_tk = usage_dict.get("total_tokens", 0) or 0
                if total_tk == 0:
                    total_tk = input_tk + output_tk
-                if total_tk > 0:
+                if total_tk > 0 and rid not in self._counted_llm_run_ids:
+                    self._counted_llm_run_ids.add(rid)
                    self._total_input_tokens += input_tk
                    self._total_output_tokens += output_tk
                    self._total_tokens += total_tk
                    self._llm_call_count += 1

+                    if caller.startswith("subagent:"):
+                        self._subagent_tokens += total_tk
+                    elif caller.startswith("middleware:"):
+                        self._middleware_tokens += total_tk
+                    else:
+                        self._lead_agent_tokens += total_tk
+
    def on_llm_error(self, error: BaseException, *, run_id: UUID, **kwargs: Any) -> None:
        self._llm_start_times.pop(str(run_id), None)
        self._put(event_type="llm.error", category="trace", content=str(error))
@@ -330,6 +348,49 @@ class RunJournal(BaseCallbackHandler):

    # -- Public methods (called by worker) --

+    def record_external_llm_usage_records(
+        self,
+        records: list[dict[str, int | str]],
+    ) -> None:
+        """Record token usage from external sources (e.g., subagents).
+
+        Each record should contain:
+            source_run_id: Unique identifier to prevent double-counting
+            caller: Caller tag (e.g. "subagent:general-purpose")
+            input_tokens: Input token count
+            output_tokens: Output token count
+            total_tokens: Total token count (computed from input+output if 0/missing)
+        """
+        if not self._track_tokens:
+            return
+        for record in records:
+            source_id = str(record.get("source_run_id", ""))
+            if not source_id:
+                continue
+            if source_id in self._counted_external_source_ids:
+                continue
+
+            total_tk = record.get("total_tokens", 0) or 0
+            if total_tk <= 0:
+                input_tk = record.get("input_tokens", 0) or 0
+                output_tk = record.get("output_tokens", 0) or 0
+                total_tk = input_tk + output_tk
+            if total_tk <= 0:
+                continue
+
+            self._counted_external_source_ids.add(source_id)
+            self._total_input_tokens += record.get("input_tokens", 0) or 0
+            self._total_output_tokens += record.get("output_tokens", 0) or 0
+            self._total_tokens += total_tk
+
+            caller = str(record.get("caller", ""))
+            if caller.startswith("subagent:"):
+                self._subagent_tokens += total_tk
+            elif caller.startswith("middleware:"):
+                self._middleware_tokens += total_tk
+            else:
+                self._lead_agent_tokens += total_tk
+
    def set_first_human_message(self, content: str) -> None:
        """Record the first human message for convenience fields."""
        self._first_human_msg = content[:2000] if content else None
@@ -376,6 +437,9 @@ class RunJournal(BaseCallbackHandler):
            "total_output_tokens": self._total_output_tokens,
            "total_tokens": self._total_tokens,
            "llm_call_count": self._llm_call_count,
+            "lead_agent_tokens": self._lead_agent_tokens,
+            "subagent_tokens": self._subagent_tokens,
+            "middleware_tokens": self._middleware_tokens,
            "message_count": self._msg_count,
            "last_ai_message": self._last_ai_msg,
            "first_human_message": self._first_human_msg,
@@ -26,6 +26,7 @@ from deerflow.models import create_chat_model
 from deerflow.skills.tool_policy import filter_tools_by_skill_allowed_tools
 from deerflow.skills.types import Skill
 from deerflow.subagents.config import SubagentConfig, resolve_subagent_model_name
+from deerflow.subagents.token_collector import SubagentTokenCollector

 logger = logging.getLogger(__name__)

@@ -70,6 +71,8 @@ class SubagentResult:
    started_at: datetime | None = None
    completed_at: datetime | None = None
    ai_messages: list[dict[str, Any]] | None = None
+    token_usage_records: list[dict[str, int | str]] = field(default_factory=list)
+    usage_reported: bool = False
    cancel_event: threading.Event = field(default_factory=threading.Event, repr=False)

    def __post_init__(self):
@@ -412,13 +415,20 @@ class SubagentExecutor:
            ai_messages = []
            result.ai_messages = ai_messages

+        collector: SubagentTokenCollector | None = None
        try:
            state, filtered_tools = await self._build_initial_state(task)
            agent = self._create_agent(filtered_tools)

+            # Token collector for subagent LLM calls
+            collector_caller = f"subagent:{self.config.name}"
+            collector = SubagentTokenCollector(caller=collector_caller)
+
            # Build config with thread_id for sandbox access and recursion limit
            run_config: RunnableConfig = {
                "recursion_limit": self.config.max_turns,
+                "callbacks": [collector],
+                "tags": [collector_caller],
            }
            context: dict[str, Any] = {}
            if self.thread_id:
@@ -441,6 +451,8 @@ class SubagentExecutor:
                        result.status = SubagentStatus.CANCELLED
                        result.error = "Cancelled by user"
                        result.completed_at = datetime.now()
+                if collector is not None:
+                    result.token_usage_records = collector.snapshot_records()
                return result

            async for chunk in agent.astream(state, config=run_config, context=context, stream_mode="values"):  # type: ignore[arg-type]
@@ -455,6 +467,7 @@ class SubagentExecutor:
                            result.status = SubagentStatus.CANCELLED
                            result.error = "Cancelled by user"
                            result.completed_at = datetime.now()
+                    result.token_usage_records = collector.snapshot_records()
                    return result

                final_state = chunk
@@ -481,6 +494,7 @@ class SubagentExecutor:
                            logger.info(f"[trace={self.trace_id}] Subagent {self.config.name} captured AI message #{len(ai_messages)}")

            logger.info(f"[trace={self.trace_id}] Subagent {self.config.name} completed async execution")
+            result.token_usage_records = collector.snapshot_records()

            if final_state is None:
                logger.warning(f"[trace={self.trace_id}] Subagent {self.config.name} no final state")
@@ -560,6 +574,8 @@ class SubagentExecutor:
            result.status = SubagentStatus.FAILED
            result.error = str(e)
            result.completed_at = datetime.now()
+            if collector is not None:
+                result.token_usage_records = collector.snapshot_records()

        return result

@@ -0,0 +1,63 @@
+"""Callback handler that collects LLM token usage within a subagent.
+
+Each subagent execution creates its own collector. After the subagent
+finishes, the collected records are transferred to the parent RunJournal
+via :meth:`RunJournal.record_external_llm_usage_records`.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+from langchain_core.callbacks import BaseCallbackHandler
+
+
+class SubagentTokenCollector(BaseCallbackHandler):
+    """Lightweight callback handler that collects LLM token usage within a subagent."""
+
+    def __init__(self, caller: str):
+        super().__init__()
+        self.caller = caller
+        self._records: list[dict[str, int | str]] = []
+        self._counted_run_ids: set[str] = set()
+
+    def on_llm_end(
+        self,
+        response: Any,
+        *,
+        run_id: Any,
+        tags: list[str] | None = None,
+        **kwargs: Any,
+    ) -> None:
+        rid = str(run_id)
+        if rid in self._counted_run_ids:
+            return
+
+        for generation in response.generations:
+            for gen in generation:
+                if not hasattr(gen, "message"):
+                    continue
+                usage = getattr(gen.message, "usage_metadata", None)
+                usage_dict = dict(usage) if usage else {}
+                input_tk = usage_dict.get("input_tokens", 0) or 0
+                output_tk = usage_dict.get("output_tokens", 0) or 0
+                total_tk = usage_dict.get("total_tokens", 0) or 0
+                if total_tk <= 0:
+                    total_tk = input_tk + output_tk
+                if total_tk <= 0:
+                    continue
+                self._counted_run_ids.add(rid)
+                self._records.append(
+                    {
+                        "source_run_id": rid,
+                        "caller": self.caller,
+                        "input_tokens": input_tk,
+                        "output_tokens": output_tk,
+                        "total_tokens": total_tk,
+                    }
+                )
+                return
+
+    def snapshot_records(self) -> list[dict[str, int | str]]:
+        """Return a copy of the accumulated usage records."""
+        return list(self._records)
@@ -27,6 +27,92 @@ if TYPE_CHECKING:
 logger = logging.getLogger(__name__)


+def _is_subagent_terminal(result: Any) -> bool:
+    """Return whether a background subagent result is safe to clean up."""
+    return result.status in {SubagentStatus.COMPLETED, SubagentStatus.FAILED, SubagentStatus.CANCELLED, SubagentStatus.TIMED_OUT} or getattr(result, "completed_at", None) is not None
+
+
+async def _await_subagent_terminal(task_id: str, max_polls: int) -> Any | None:
+    """Poll until the background subagent reaches a terminal status or we run out of polls."""
+    for _ in range(max_polls):
+        result = get_background_task_result(task_id)
+        if result is None:
+            return None
+        if _is_subagent_terminal(result):
+            return result
+        await asyncio.sleep(5)
+    return None
+
+
+async def _deferred_cleanup_subagent_task(task_id: str, trace_id: str, max_polls: int) -> None:
+    """Keep polling a cancelled subagent until it can be safely removed."""
+    cleanup_poll_count = 0
+    while True:
+        result = get_background_task_result(task_id)
+        if result is None:
+            return
+        if _is_subagent_terminal(result):
+            cleanup_background_task(task_id)
+            return
+        if cleanup_poll_count >= max_polls:
+            logger.warning(f"[trace={trace_id}] Deferred cleanup for task {task_id} timed out after {cleanup_poll_count} polls")
+            return
+        await asyncio.sleep(5)
+        cleanup_poll_count += 1
+
+
+def _log_cleanup_failure(cleanup_task: asyncio.Task[None], *, trace_id: str, task_id: str) -> None:
+    if cleanup_task.cancelled():
+        return
+
+    exc = cleanup_task.exception()
+    if exc is not None:
+        logger.error(f"[trace={trace_id}] Deferred cleanup failed for task {task_id}: {exc}")
+
+
+def _schedule_deferred_subagent_cleanup(task_id: str, trace_id: str, max_polls: int) -> None:
+    logger.debug(f"[trace={trace_id}] Scheduling deferred cleanup for cancelled task {task_id}")
+    cleanup_task = asyncio.create_task(_deferred_cleanup_subagent_task(task_id, trace_id, max_polls))
+    cleanup_task.add_done_callback(lambda task: _log_cleanup_failure(task, trace_id=trace_id, task_id=task_id))
+
+
+def _find_usage_recorder(runtime: Any) -> Any | None:
+    """Find a callback handler with ``record_external_llm_usage_records`` in the runtime config."""
+    if runtime is None:
+        return None
+    config = getattr(runtime, "config", None)
+    if not isinstance(config, dict):
+        return None
+    callbacks = config.get("callbacks", [])
+    if not callbacks:
+        return None
+    for cb in callbacks:
+        if hasattr(cb, "record_external_llm_usage_records"):
+            return cb
+    return None
+
+
+def _report_subagent_usage(runtime: Any, result: Any) -> None:
+    """Report subagent token usage to the parent RunJournal, if available.
+
+    Each subagent task must be reported only once (guarded by usage_reported).
+    """
+    if getattr(result, "usage_reported", True):
+        return
+    records = getattr(result, "token_usage_records", None) or []
+    if not records:
+        return
+    journal = _find_usage_recorder(runtime)
+    if journal is None:
+        logger.debug("No usage recorder found in runtime callbacks — subagent token usage not recorded")
+        return
+    try:
+        journal.record_external_llm_usage_records(records)
+        result.usage_reported = True
+    except Exception:
+        logger.warning("Failed to report subagent token usage", exc_info=True)
+
+
 def _get_runtime_app_config(runtime: Any) -> "AppConfig | None":
    context = getattr(runtime, "context", None)
    if isinstance(context, dict):
@@ -227,21 +313,25 @@ async def task_tool(

            # Check if task completed, failed, or timed out
            if result.status == SubagentStatus.COMPLETED:
+                _report_subagent_usage(runtime, result)
                writer({"type": "task_completed", "task_id": task_id, "result": result.result})
                logger.info(f"[trace={trace_id}] Task {task_id} completed after {poll_count} polls")
                cleanup_background_task(task_id)
                return f"Task Succeeded. Result: {result.result}"
            elif result.status == SubagentStatus.FAILED:
+                _report_subagent_usage(runtime, result)
                writer({"type": "task_failed", "task_id": task_id, "error": result.error})
                logger.error(f"[trace={trace_id}] Task {task_id} failed: {result.error}")
                cleanup_background_task(task_id)
                return f"Task failed. Error: {result.error}"
            elif result.status == SubagentStatus.CANCELLED:
+                _report_subagent_usage(runtime, result)
                writer({"type": "task_cancelled", "task_id": task_id, "error": result.error})
                logger.info(f"[trace={trace_id}] Task {task_id} cancelled: {result.error}")
                cleanup_background_task(task_id)
                return "Task cancelled by user."
            elif result.status == SubagentStatus.TIMED_OUT:
+                _report_subagent_usage(runtime, result)
                writer({"type": "task_timed_out", "task_id": task_id, "error": result.error})
                logger.warning(f"[trace={trace_id}] Task {task_id} timed out: {result.error}")
                cleanup_background_task(task_id)
@@ -260,43 +350,28 @@ async def task_tool(
            if poll_count > max_poll_count:
                timeout_minutes = config.timeout_seconds // 60
                logger.error(f"[trace={trace_id}] Task {task_id} polling timed out after {poll_count} polls (should have been caught by thread pool timeout)")
+                _report_subagent_usage(runtime, result)
                writer({"type": "task_timed_out", "task_id": task_id})
                return f"Task polling timed out after {timeout_minutes} minutes. This may indicate the background task is stuck. Status: {result.status.value}"
    except asyncio.CancelledError:
        # Signal the background subagent thread to stop cooperatively.
-        # Without this, the thread (running in ThreadPoolExecutor with its
-        # own event loop via asyncio.run) would continue executing even
-        # after the parent task is cancelled.
        request_cancel_background_task(task_id)

-        async def cleanup_when_done() -> None:
-            max_cleanup_polls = max_poll_count
-            cleanup_poll_count = 0
+        # Wait (shielded) for the subagent to reach a terminal state so the
+        # final token usage snapshot is reported to the parent RunJournal
+        # before the parent worker persists get_completion_data().
+        terminal_result = None
+        try:
+            terminal_result = await asyncio.shield(_await_subagent_terminal(task_id, max_poll_count))
+        except asyncio.CancelledError:
+            pass

-            while True:
-                result = get_background_task_result(task_id)
-                if result is None:
-                    return
-
-                if result.status in {SubagentStatus.COMPLETED, SubagentStatus.FAILED, SubagentStatus.CANCELLED, SubagentStatus.TIMED_OUT} or getattr(result, "completed_at", None) is not None:
-                    cleanup_background_task(task_id)
-                    return
-
-                if cleanup_poll_count > max_cleanup_polls:
-                    logger.warning(f"[trace={trace_id}] Deferred cleanup for task {task_id} timed out after {cleanup_poll_count} polls")
-                    return
-
-                await asyncio.sleep(5)
-                cleanup_poll_count += 1
-
-        def log_cleanup_failure(cleanup_task: asyncio.Task[None]) -> None:
-            if cleanup_task.cancelled():
-                return
-
-            exc = cleanup_task.exception()
-            if exc is not None:
-                logger.error(f"[trace={trace_id}] Deferred cleanup failed for task {task_id}: {exc}")
-
-        logger.debug(f"[trace={trace_id}] Scheduling deferred cleanup for cancelled task {task_id}")
-        asyncio.create_task(cleanup_when_done()).add_done_callback(log_cleanup_failure)
+        # Report whatever the subagent collected (even if we timed out).
+        final_result = terminal_result or get_background_task_result(task_id)
+        if final_result is not None:
+            _report_subagent_usage(runtime, final_result)
+        if final_result is not None and _is_subagent_terminal(final_result):
+            cleanup_background_task(task_id)
+        else:
+            _schedule_deferred_subagent_cleanup(task_id, trace_id, max_poll_count)
        raise