feat(sdk): expand Python runtime controls
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"""Small convenience clients exposed by the high-level Python SDK."""
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from __future__ import annotations
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from collections.abc import Iterable, Mapping
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from copy import deepcopy
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from pathlib import Path
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from typing import TYPE_CHECKING, Any
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from nanobot.sdk.types import (
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SessionInfo,
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SessionSnapshot,
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snapshot_from_payload,
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snapshot_from_session,
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)
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if TYPE_CHECKING:
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from nanobot.agent.loop import AgentLoop
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class SessionClient:
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"""Session management helpers exposed through ``bot.sessions``."""
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_RESERVED_MESSAGE_KEYS = {"role", "content"}
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_VALID_ROLES = {"user", "assistant", "tool", "system"}
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def __init__(self, loop: AgentLoop) -> None:
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self._loop = loop
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async def ingest(
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self,
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session_key: str,
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messages: Iterable[Mapping[str, Any]],
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*,
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metadata: Mapping[str, Any] | None = None,
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source: str | None = None,
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save: bool = True,
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) -> SessionSnapshot:
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"""Import an existing transcript without running the model."""
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session = self._loop.sessions.get_or_create(session_key)
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if metadata:
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session.metadata.update(deepcopy(dict(metadata)))
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for raw in messages:
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if "role" not in raw:
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raise ValueError("ingested messages must include a role")
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if "content" not in raw:
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raise ValueError("ingested messages must include content")
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role = str(raw["role"]).strip()
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if role not in self._VALID_ROLES:
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raise ValueError(f"unsupported message role: {role!r}")
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extra = {
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key: deepcopy(value)
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for key, value in raw.items()
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if key not in self._RESERVED_MESSAGE_KEYS
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}
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if source is not None and "source" not in extra:
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extra["source"] = source
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session.add_message(role, deepcopy(raw["content"]), **extra)
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if save:
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self._loop.sessions.save(session)
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return snapshot_from_session(session)
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def get(self, session_key: str) -> SessionSnapshot | None:
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"""Return a session snapshot without creating a new session on disk."""
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cached = self._loop.sessions._cache.get(session_key)
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if cached is not None:
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return snapshot_from_session(cached)
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payload = self._loop.sessions.read_session_file(session_key)
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if payload is None:
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return None
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return snapshot_from_payload(payload)
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def list(self) -> list[SessionInfo]:
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"""List persisted sessions."""
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return [
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SessionInfo(
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key=str(row.get("key") or ""),
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created_at=row.get("created_at"),
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updated_at=row.get("updated_at"),
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title=str(row.get("title") or ""),
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preview=str(row.get("preview") or ""),
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path=row.get("path"),
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)
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for row in self._loop.sessions.list_sessions()
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]
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def export(self, session_key: str) -> SessionSnapshot | None:
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"""Return a full session snapshot suitable for JSON serialization."""
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return self.get(session_key)
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def clear(self, session_key: str) -> SessionSnapshot:
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"""Clear one session and persist the empty session."""
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session = self._loop.sessions.get_or_create(session_key)
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session.clear()
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self._loop.sessions.save(session)
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return snapshot_from_session(session)
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def delete(self, session_key: str) -> bool:
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"""Delete one session from disk and cache."""
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return self._loop.sessions.delete_session(session_key)
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def flush(self) -> int:
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"""Flush cached sessions to durable storage."""
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return self._loop.sessions.flush_all()
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class MemoryClient:
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"""Long-term memory helpers exposed through ``bot.memory``."""
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def __init__(self, loop: AgentLoop) -> None:
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self._loop = loop
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def read(self) -> str:
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"""Read ``memory/MEMORY.md``."""
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return self._loop.context.memory.read_memory()
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def write(self, text: str) -> None:
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"""Overwrite ``memory/MEMORY.md``."""
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self._loop.context.memory.write_memory(text)
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def append_history(self, text: str, *, session_key: str | None = None) -> int:
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"""Append one entry to ``memory/history.jsonl`` and return its cursor."""
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return self._loop.context.memory.append_history(text, session_key=session_key)
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def read_history(self, *, session_key: str | None = None) -> list[dict[str, Any]]:
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"""Read memory history entries, optionally filtered by session."""
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entries = self._loop.context.memory.read_unprocessed_history(since_cursor=0)
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if session_key is not None:
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entries = [entry for entry in entries if entry.get("session_key") == session_key]
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return deepcopy(entries)
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class RuntimeClient:
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"""Runtime control helpers exposed through ``bot.runtime``."""
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def __init__(self, loop: AgentLoop) -> None:
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self._loop = loop
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@property
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def model(self) -> str:
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"""Current runtime model name."""
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return self._loop.model
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@property
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def workspace(self) -> Path:
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"""Current runtime workspace."""
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return self._loop.workspace
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async def compact_session(self, session_key: str) -> SessionSnapshot:
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"""Run token/replay-window consolidation for one session."""
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session = self._loop.sessions.get_or_create(session_key)
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await self._loop.consolidator.maybe_consolidate_by_tokens(
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session,
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replay_max_messages=self._loop._max_messages,
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)
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return snapshot_from_session(self._loop.sessions.get_or_create(session_key))
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async def compact_idle_session(self, session_key: str, *, max_suffix: int = 8) -> str | None:
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"""Run idle-session compaction for one session and return the summary."""
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return await self._loop.consolidator.compact_idle_session(
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session_key,
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max_suffix=max_suffix,
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)
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