generated from coulomb/repo-seed
feat(token-tracking): introduce token note taxonomy (measured/userbased/workplan/heuristic)
Tier 1 (exact counts) now defaults to note="measured" instead of null, signalling the counts were read from the Claude Code status bar. Callers can pass note="userbased" when a human provided the numbers. measured — agent read exact counts from the Claude Code status bar userbased — counts provided by a human workplan — prorated from workplan total across task count heuristic — server fallback, 1000/500, no agent input Added token_note field to TaskUpdate schema and exposed note param on update_task_status and record_interactive_task MCP tools. TOOLS.md documents the full taxonomy. 185 tests pass. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -75,7 +75,7 @@ async def update_task(
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raise HTTPException(status_code=404, detail="Task not found")
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# Separate token fields from task fields
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token_field_names = {"tokens_in", "tokens_out", "workplan_tokens_in", "workplan_tokens_out", "model", "agent", "session_id"}
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token_field_names = {"tokens_in", "tokens_out", "workplan_tokens_in", "workplan_tokens_out", "token_note", "model", "agent", "session_id"}
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update_data = body.model_dump(exclude_unset=True)
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token_data = {k: update_data.pop(k) for k in list(update_data.keys()) if k in token_field_names}
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@@ -87,8 +87,10 @@ async def update_task(
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# Token event — three-tier logic, only when marking done
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if update_data.get("status") == "done":
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if "tokens_in" in token_data and "tokens_out" in token_data:
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# Tier 1: exact counts provided
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tin, tout, tnote = token_data["tokens_in"], token_data["tokens_out"], None
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# Tier 1: exact counts — default note "measured"; caller may override with token_note
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tin = token_data["tokens_in"]
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tout = token_data["tokens_out"]
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tnote = token_data.get("token_note") or "measured"
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elif "workplan_tokens_in" in token_data and "workplan_tokens_out" in token_data:
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# Tier 2: prorate workplan total across task count
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count_result = await session.execute(
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@@ -39,13 +39,15 @@ class TaskUpdate(BaseModel):
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intervention_note: str | None = None
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parent_task_id: uuid.UUID | None = None
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# Token passthrough — three tiers (highest precision wins):
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# 1. tokens_in + tokens_out → exact counts (best practice)
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# 1. tokens_in + tokens_out → exact counts; note defaults to "measured"
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# 2. workplan_tokens_in + workplan_tokens_out → prorated across task count (note="workplan")
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# 3. neither provided, status=done → heuristic 1000/500 (note="heuristic")
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# token_note overrides the auto-assigned note for Tier 1 only (e.g. "userbased")
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tokens_in: int | None = None
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tokens_out: int | None = None
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workplan_tokens_in: int | None = None
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workplan_tokens_out: int | None = None
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token_note: str | None = None
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model: str | None = None
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agent: str | None = None
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session_id: str | None = None
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@@ -83,6 +83,16 @@ Agents should call `record_token_event` (or pass `tokens_in`/`tokens_out` via
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|------|----------|-------|
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| `record_token_event(tokens_in, tokens_out, ...)` | `task_id`?, `workstream_id`?, `repo_id`?, `model`?, `agent`?, `ref_type`?, `ref_id`?, `note`?, `session_id`? | POSTs to `/token-events/`. `workstream_id` auto-filled from task. Returns event id + running total. |
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| `get_token_summary(scope, id)` | `scope`: task\|workstream\|repo\|commit\|release\|session; `id`: UUID or ref string | Returns formatted table of tokens_in/out/total, event_count, by_model, by_agent. |
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| `record_interactive_task(title, repo_slug, ...)` | `tokens_in`?, `tokens_out`?, `note`?, `model`?, `agent`?, `description`?, `session_id`? | Find-or-create `interactive-<repo>` workstream, create task, mark done, record token event. |
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**Token note taxonomy:**
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| note | meaning |
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|------|---------|
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| `"measured"` | Exact counts read from Claude Code status bar — default when `tokens_in`/`tokens_out` provided |
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| `"userbased"` | Counts provided by a human (pass `note="userbased"` explicitly) |
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| `"workplan"` | Prorated from workplan total across task count |
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| `"heuristic"` | Server fallback — 1 000 in / 500 out, no agent input |
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---
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@@ -430,6 +430,7 @@ def update_task_status(
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tokens_out: Optional[int] = None,
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workplan_tokens_in: Optional[int] = None,
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workplan_tokens_out: Optional[int] = None,
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note: Optional[str] = None,
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model: Optional[str] = None,
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agent: Optional[str] = None,
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session_id: Optional[str] = None,
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@@ -438,6 +439,8 @@ def update_task_status(
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When status='done', always records a token event using the best available data:
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Tier 1 (best): pass tokens_in + tokens_out — exact counts from the session
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note defaults to "measured"; pass note="userbased" if the
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numbers were provided by a human rather than read from the bar
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Tier 2: pass workplan_tokens_in + workplan_tokens_out — total workplan
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effort prorated across task count (note="workplan")
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Tier 3 (fallback): no token args — heuristic 1000 in / 500 out (note="heuristic")
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@@ -452,6 +455,8 @@ def update_task_status(
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tokens_out: exact output token count for this task (Tier 1)
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workplan_tokens_in: total input tokens for the whole workplan (Tier 2)
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workplan_tokens_out: total output tokens for the whole workplan (Tier 2)
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note: override the auto note — use "userbased" when counts came from a human;
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omit to get the default ("measured" for Tier 1, "workplan"/"heuristic" otherwise)
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model: model identifier, e.g. 'claude-sonnet-4-6'
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agent: agent name, e.g. 'custodian', 'ralph'
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session_id: agent session identifier
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@@ -472,6 +477,8 @@ def update_task_status(
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body["workplan_tokens_in"] = workplan_tokens_in
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if workplan_tokens_out is not None:
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body["workplan_tokens_out"] = workplan_tokens_out
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if note is not None:
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body["token_note"] = note
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task = _patch(f"/tasks/{task_id}", body)
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_post("/progress", {
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@@ -2233,6 +2240,7 @@ def record_interactive_task(
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repo_slug: str,
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tokens_in: Optional[int] = None,
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tokens_out: Optional[int] = None,
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note: Optional[str] = None,
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model: Optional[str] = None,
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agent: Optional[str] = None,
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description: Optional[str] = None,
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@@ -2241,8 +2249,13 @@ def record_interactive_task(
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"""Record ad-hoc interactive work as a task with token consumption.
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Finds or creates a persistent 'interactive-<repo>' workstream for the repo,
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creates the task, marks it done immediately, and records a token event using
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the three-tier logic (exact > heuristic).
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creates the task, marks it done immediately, and records a token event.
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Token note convention:
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"measured" — exact counts read from the Claude Code status bar (default when
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tokens_in/tokens_out provided and note omitted)
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"userbased" — counts provided by a human (pass note="userbased" explicitly)
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"heuristic" — server fallback when no counts given (automatic)
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Use this for work done outside a formal workplan: quick fixes, config changes,
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code reviews, one-off investigations, or any session work worth tracking.
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@@ -2250,8 +2263,9 @@ def record_interactive_task(
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Args:
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title: Short description of the work done
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repo_slug: Registered repo slug, e.g. 'the-custodian', 'inter-hub'
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tokens_in: Exact input token count for this task (Tier 1 — best practice)
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tokens_out: Exact output token count for this task (Tier 1)
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tokens_in: Input token count (Tier 1 — read from Claude Code status bar)
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tokens_out: Output token count (Tier 1)
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note: Override token note — use "userbased" when counts came from a human
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model: Model identifier, e.g. 'claude-sonnet-4-6'
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agent: Agent name, e.g. 'custodian', 'ralph'
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description: Optional longer description of what was done
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@@ -2316,16 +2330,18 @@ def record_interactive_task(
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body["tokens_in"] = tokens_in
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if tokens_out is not None:
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body["tokens_out"] = tokens_out
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if note is not None:
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body["token_note"] = note
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_patch(f"/tasks/{task['id']}", body)
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tier = "exact" if tokens_in is not None else "heuristic"
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effective_note = note or ("measured" if tokens_in is not None else "heuristic")
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return json.dumps({
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"task_id": task["id"],
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"workstream_id": ws["id"],
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"workstream_slug": ws_slug,
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"title": title,
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"token_tier": tier,
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"token_note": effective_note,
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}, indent=2)
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@@ -65,7 +65,25 @@ class TestTokenPassthrough:
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assert ev["model"] == "claude-sonnet-4-6"
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assert ev["agent"] == "custodian"
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assert ev["workstream_id"] == ws["id"]
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assert ev["note"] is None
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assert ev["note"] == "measured"
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async def test_tier1_userbased_note_override(self, client):
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"""Tier 1 with note='userbased' records that note instead of 'measured'."""
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await _create_domain(client)
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topic = await _create_topic(client)
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ws = await _create_workstream(client, topic["id"])
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task = await _create_task(client, ws["id"])
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r = await client.patch(f"/tasks/{task['id']}", json={
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"status": "done",
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"tokens_in": 500,
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"tokens_out": 200,
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"token_note": "userbased",
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})
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assert r.status_code == 200
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events = (await client.get("/token-events/", params={"task_id": task["id"]})).json()
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assert events[0]["note"] == "userbased"
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async def test_tier2_workplan_prorated(self, client):
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"""Tier 2: workplan totals prorated across 4 tasks → 250/125 each, note='workplan'."""
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