Put work items in the state store, and bind the log to them (M1.1)
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Development Plan M1.1, as discussed. - Schema v4: a work_items table (id, scope, title, status, outcome, position, data) and an agent row whose active_item points at one (NULL: idle). Canonical events and intents carry their work item, and events their actor. Older stores are refused with a clear message: there was no production data, so no migration (the mechanism stays). - The log is reached through a Transcript bound to one work item and one actor: store.transcript(item, actor) reads only that item and writes with both. The planner, executor, delegation and expert desk get one per call from the orchestrator instead of holding the store, so a component can neither read another task's events (the planner read every earlier task's, #78) nor write without attribution. store.all_events() is kept for readers that span items (evaluation capture, dumps). Intents are begun through the transcript or with work_item=, so each belongs to its item. - The orchestrator opens a work item on 'use', closes it with its outcome (completed or abandoned), and carries what the operator said while idle into the new item as copies with their origin, so a task sent before 'use' is still planned from (D1). control.py keeps its state machine through get_state()/transition(), now over the active work item, until M2.6 retires it. - nisse_dev.dump shows work items and each event's item and actor. Tests: test_work_items.py (scoping, attribution, intent ownership, restart, outcomes, carried messages, a second task never seeing the first); the suites updated for the per-call transcript. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PPQ14L3LikyefCMFBqEbKE
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@@ -33,7 +33,7 @@ from nisse_dev.canonical import (
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UserMessage,
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)
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from nisse_dev.llm import LLMClient, LLMError, RoleMap
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from nisse_dev.state import StateStore
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from nisse_dev.state import Transcript
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EXPERT_ROLE = "expert"
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DEFAULT_BUDGET = 3
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@@ -97,32 +97,34 @@ class ExpertDesk:
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def __init__(
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self,
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client: LLMClient,
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store: StateStore,
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roles: RoleMap,
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*,
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budget: int = DEFAULT_BUDGET,
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) -> None:
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self._client = client
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self._store = store
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self._roles = roles
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self._budget = budget
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def consults_used(self, since_event_id: int = 0) -> int:
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def consults_used(self, transcript: Transcript, since_event_id: int = 0) -> int:
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return sum(
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1
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for e in self._store.read_events(after=since_event_id)
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for e in transcript.read(after=since_event_id)
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if isinstance(e.event, DelegationStarted) and e.event.role == EXPERT_ROLE
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)
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def ask(self, question: str, *, since_event_id: int = 0) -> ExpertAnswer:
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used = self.consults_used(since_event_id)
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def ask(
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self, transcript: Transcript, question: str, *, since_event_id: int = 0
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) -> ExpertAnswer:
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"""The consult is recorded in the work item's transcript, as the
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expert, and the budget counts that work item's consults (L9)."""
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used = self.consults_used(transcript, since_event_id)
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if used >= self._budget:
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raise BudgetExhausted(
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f"consult budget of {self._budget} is spent for this task "
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f"({used} used); escalate or ask the operator instead"
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)
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model = self._roles.resolve(EXPERT_ROLE)
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self._store.append_event(
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transcript.append(
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DelegationStarted(
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brief=question,
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role=EXPERT_ROLE,
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@@ -131,7 +133,7 @@ class ExpertDesk:
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)
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)
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answer, note = self._answer(question, model)
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self._store.append_event(
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transcript.append(
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DelegationCompleted(
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handback=answer.render() if answer else note,
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artifacts=[],
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