nisse-core: group modules into packages by architecture section
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A pure move; behaviour unchanged.

- models (L9, L7): llm, catalog, probe, render, render_anthropic, context
- log (L7, L6): canonical, views
- state (L8): store (was state), reconcile, worker, cancel, dump
- knowledge (L10, L6.4): vault, memory
- conversation (L5): transport, matrix
- execution (L13): ssh (was execution), testing
- authority (P3, P4, L4): actions
- gitea, oplog, envfile stay at the top until each gains a second module.

Every import, monkeypatch target, script and doc reference rewritten.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
This commit is contained in:
dongarandClaude Opus 5.5 committed 2026-10-13 21:16:09 +00:00
1 parent 06759d5d70
commit e351d0a74e
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"""The canonical log (architecture L7) and what each role is shown of it
(L6)."""
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"""Canonical transcript schema (architecture L7).
The durable record is this event log, never a provider-shaped ``messages``
array; provider request bodies are rendered from it at call time. Canonical
tool-call IDs are minted locally — provider IDs are mapped at the boundary and
never used as a join key.
Transcript appends are the conversation record itself, not state-machine
mutations, so they are deliberately outside the L12 state-change taxonomy.
"""
import uuid
from dataclasses import asdict, dataclass, fields
from typing import Any
@dataclass(frozen=True)
class UserMessage:
text: str
source: str # e.g. a Matrix event ID
@dataclass(frozen=True)
class AssistantText:
text: str
model: str
@dataclass(frozen=True)
class ToolCall:
call_id: str # canonical, minted locally via mint_call_id()
tool: str
arguments: dict[str, Any]
@dataclass(frozen=True)
class ToolResult:
call_id: str
result: str
success: bool
@dataclass(frozen=True)
class PlanSubmitted:
plan: str
model: str
@dataclass(frozen=True)
class GateOpened:
gate: str
reason: str
@dataclass(frozen=True)
class DelegationStarted:
brief: str
role: str
model: str # the alias asked for, e.g. "remote-architecture"
caps: dict[str, Any] # turns / tokens / wall-clock limits
# What the alias resolved to at task start. An alias is free to change
# models between tasks, so eval history (L9) keyed on the alias alone
# would average results across whatever it happened to point at.
backing_model: str = ""
@dataclass(frozen=True)
class DelegationCompleted:
handback: str
artifacts: list[str]
tokens: int
duration_s: float
exit_status: str
@dataclass(frozen=True)
class Fact:
"""Something the orchestrator knows that the models must too (L6, L7):
a plan approved, a milestone finished, a PR opened. Written by the
orchestrator; every role sees it, as a statement rather than a turn."""
text: str
@dataclass(frozen=True)
class ActionVerdict:
"""What the fast path made of a tool call before it ran (P4, L4): a
record for the log, the operator and the classifier's evaluation set,
never shown to a model."""
call_id: str
tool: str
effect: str # harmless | contained | unknown | dangerous | refused
rule: str
reason: str
decision: str # ran | refused | asked | allowed | classified
# Who decided: the fast path's rules, or the classifier (L4), with the
# model it ran on and exactly what it was shown (the evaluation set, L9).
source: str = "fast_path"
model: str = ""
input: str = ""
@dataclass(frozen=True)
class Compaction:
summary: str
model: str
replaces: list[int] # [first_id, last_id] inclusive range replaced
CanonicalEvent = (
UserMessage
| AssistantText
| ToolCall
| ToolResult
| PlanSubmitted
| GateOpened
| DelegationStarted
| DelegationCompleted
| Fact
| ActionVerdict
| Compaction
)
EVENT_TYPES: dict[str, type] = {
"user_message": UserMessage,
"assistant_text": AssistantText,
"tool_call": ToolCall,
"tool_result": ToolResult,
"plan_submitted": PlanSubmitted,
"gate_opened": GateOpened,
"delegation_started": DelegationStarted,
"delegation_completed": DelegationCompleted,
"fact": Fact,
"action_verdict": ActionVerdict,
"compaction": Compaction,
}
_TYPE_NAMES = {cls: name for name, cls in EVENT_TYPES.items()}
@dataclass(frozen=True)
class StoredEvent:
id: int
ts: str
event: CanonicalEvent
# The work item it belongs to (None: agent-level, L6) and the role that
# produced it (L7). Rendering uses both.
work_item: str | None = None
actor: str = ""
def mint_call_id() -> str:
return f"call-{uuid.uuid4().hex}"
def event_type(event: CanonicalEvent) -> str:
return _TYPE_NAMES[type(event)]
def to_payload(event: CanonicalEvent) -> dict[str, Any]:
return asdict(event)
def from_payload(type_name: str, payload: dict[str, Any]) -> CanonicalEvent:
cls = EVENT_TYPES.get(type_name)
if cls is None:
raise ValueError(f"unknown canonical event type: {type_name!r}")
known = {f.name for f in fields(cls)}
unknown = payload.keys() - known
if unknown:
raise ValueError(f"unknown fields for {type_name}: {sorted(unknown)}")
return cls(**payload)
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"""Per-role views of a work item's transcript (architecture L6; Development
Plan M1.2).
The log records every role's events in one work item. A model must not read
another role's turns as its own: in the second live run the planner, shown
the executor's tool calls as assistant turns, took that work for its own
(#78). So what a role is shown is projected here, before rendering:
- its own events, unchanged;
- what the operator said, as a user message labelled with where it came from;
- the orchestrator's facts and gates, as labelled statements;
- another model role's work only where it needs it, and only as a labelled
report or narration, never as a turn.
The projection keeps each event's id, so cursors (``after``) and compaction
ranges still line up with the log. Everything not the viewer's own becomes a
``UserMessage``: from where the viewer sits, it is all input.
"""
from collections.abc import Mapping
from dataclasses import replace
from nisse_core.log.canonical import (
ActionVerdict,
AssistantText,
DelegationCompleted,
DelegationStarted,
Fact,
GateOpened,
PlanSubmitted,
StoredEvent,
ToolCall,
ToolResult,
UserMessage,
)
# How much of another role's tool result a narration line keeps.
NARRATION_RESULT_CHARS = 300
def operator_label(source: str) -> str:
"""Where an operator message came from, for its label."""
origin, _, idle = source.partition(" (sent while idle")
if origin.startswith("transport:"):
channel = "Matrix"
elif origin.startswith("gitea:pr:"):
number = origin.split(":")[2]
channel = f"comment on PR #{number}"
elif origin.startswith("gitea:issue-body:"):
channel = f"issue #{origin.split(':')[2]}"
elif origin.startswith("gitea:issue:"):
number = origin.split(":")[2]
channel = f"comment on plan issue #{number}"
elif origin.startswith("gitea:"):
channel = "Gitea comment"
else:
channel = origin or "unknown"
if idle:
channel += ", sent while idle"
return f"operator, {channel}"
def _said(stored: StoredEvent, label: str, text: str) -> StoredEvent:
return replace(
stored,
event=UserMessage(text=f"[{label}] {text}", source=f"view:{stored.actor}"),
)
def _narration(call: ToolCall, result: ToolResult | None) -> str:
target = call.arguments.get("path") or call.arguments.get("command")
step = f"{call.tool}({str(target)[:80]})" if target else call.tool
if result is None:
return f"{step} → no result recorded"
outcome = "ok" if result.success else "failed"
text = result.result.strip()
if len(text) > NARRATION_RESULT_CHARS:
text = text[:NARRATION_RESULT_CHARS] + " …"
return f"{step} → {outcome}: {text}" if text else f"{step} → {outcome}"
def project(
events: list[StoredEvent],
viewer: str,
shown_by_viewer: Mapping[str, Mapping[str, str]],
) -> list[StoredEvent]:
"""The events as ``viewer`` should be shown them, in log order.
``shown_by_viewer``: for each viewer, the roles whose work it is shown,
and how: "report" keeps only the handback, "narrate" keeps a line per
step. Anything not listed is not shown."""
# Verdicts are records about calls, never part of any role's context.
events = [e for e in events if not isinstance(e.event, ActionVerdict)]
shown = shown_by_viewer.get(viewer)
if shown is None:
# A role with no view defined (the expert is stateless, the
# classifier sees only an action) reads the log as it is, with
# results kept after their calls.
return _results_follow_calls(list(events))
results = {
e.event.call_id: e.event for e in events if isinstance(e.event, ToolResult)
}
out: list[StoredEvent] = []
for stored in events:
event, actor = stored.event, stored.actor
if isinstance(event, PlanSubmitted):
# A record for a helper's scope and the dump, not a turn: the
# driver's own call already carries what was agreed.
if viewer == "helper":
out.append(_said(stored, "approved plan", event.plan))
continue
if isinstance(event, DelegationStarted):
# The harness handing a task over: to the helper given it, a
# message from the harness, never its own turn (a request must
# end on the user's side; models refuse assistant prefill).
if actor == viewer:
out.append(_said(stored, "orchestrator", f"your task: {event.brief}"))
continue
if actor == viewer:
out.append(stored)
elif actor == "operator" and isinstance(event, UserMessage):
out.append(_said(stored, operator_label(event.source), event.text))
elif isinstance(event, Fact):
out.append(_said(stored, "orchestrator", event.text))
elif isinstance(event, GateOpened):
out.append(
_said(stored, "orchestrator", f"gate {event.gate}: {event.reason}")
)
elif shown.get(actor) == "report" and isinstance(event, DelegationCompleted):
out.append(
_said(
stored,
f"{actor} report, {event.exit_status}",
event.handback,
)
)
elif shown.get(actor) == "narrate":
if isinstance(event, ToolCall):
line = _narration(event, results.get(event.call_id))
out.append(_said(stored, actor, line))
elif isinstance(event, AssistantText) and event.text.strip():
out.append(_said(stored, actor, event.text.strip()))
return _results_follow_calls(out)
def _results_follow_calls(events: list[StoredEvent]) -> list[StoredEvent]:
"""Keep each tool result right after its call, as both API formats
require: anything recorded while a call was in flight (a fact the
harness wrote while handling it, say) moves to just after the results.
A call with no result yet keeps its place; the renderer answers it."""
out: list[StoredEvent] = []
pending: set[str] = set()
held: list[StoredEvent] = []
for stored in events:
event = stored.event
if isinstance(event, ToolCall):
pending.add(event.call_id)
out.append(stored)
elif isinstance(event, ToolResult) and event.call_id in pending:
pending.discard(event.call_id)
out.append(stored)
if not pending:
out.extend(held)
held = []
elif pending:
held.append(stored)
else:
out.append(stored)
return out + held