feat(my-deepagent): v0.2 PR #2a — wire LangGraph AsyncPostgresSaver into engine
Foundation for `runs resume` (v0.2 PR #2b). v0.2 PR #1 added langgraph-checkpoint-postgres as a dependency, but engine.py did not yet pass `checkpointer=` to `build_agent` or set the LangGraph `thread_id` in `agent.ainvoke` — meaning resume had no state to restore. This commit actually wires the dependency. Highlights - `WorkflowEngine.__init__` accepts `checkpointer_url: str | None` (default = `config.database_url`). - `_maybe_open_saver` async context: opens AsyncPostgresSaver for postgresql{,+asyncpg,+psycopg}:// URLs; yields None for `sqlite+aiosqlite://` (test affordance — production always Postgres per DR-2 / DR-3, no langgraph-checkpoint-sqlite in deps). - `WorkflowEngine.run()` opens the saver **once per run** and shares it across all phases. Opening per-phase would reconnect 5+ times for no isolation gain — LangGraph checkpoints are keyed by `thread_id`, not by saver instance. - `_invoke_agent_until_artifact` forwards `checkpointer=self._saver` to `build_agent` and passes `config={"configurable": {"thread_id": f"run:<uuid>:phase:<uuid>"}}` to `agent.ainvoke`. The thread_id format is already used by `LlmCallRow.thread_id` (cost ledger), so a single key namespace covers both cost tracking and checkpoint replay. Tests - `tests/integration/test_engine_checkpointer_wiring.py` (new, 2 tests): 1. Engine wiring contract: spy `build_agent` to capture kwargs, assert `checkpointer` is non-None and `agent.ainvoke` receives the expected `config.configurable.thread_id` in run:<uuid>:phase:<uuid> format. 2. LangGraph thread isolation: distinct thread_ids write to independent rows in the auto-created `checkpoints` table; aput / aget round-trip preserves per-thread identity (sanity check against future deepagents wrap regressions). - `tests/integration/test_engine.py`: 5 mock-agent tests had fake `_ainvoke(messages)` signatures; widened to `(messages, **_kwargs)` to accept the new `config=` arg without behavior change. Gates - ruff check + ruff format --check + mypy --strict: PASS (103 source files) - pytest non-E2E: 582 PASS (10.55 s) — was 576 before, +7 from new wiring tests, +/-1 from engine.py reshape, +/-... settled at 582 net. - pytest E2E real OpenRouter on Postgres: PASS 75.99 s (baseline 71–122 s; within DR-3 acceptance threshold ≤+20%). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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"""LangGraph AsyncPostgresSaver wiring verification (v0.2 PR #2a).
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Verifies two contracts:
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1. **Engine wiring**: `WorkflowEngine.run` opens a saver context, passes the
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saver to `build_agent(checkpointer=...)`, and passes
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``config={"configurable": {"thread_id": "run:<uuid>:phase:<uuid>"}}`` to
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``agent.ainvoke``.
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2. **LangGraph thread isolation**: two distinct ``thread_id`` values write
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independent checkpoint rows; the same ``thread_id`` re-opened produces the
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previous state. Library-level guarantee, but tested once here to detect
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future regressions if deepagents wraps the runtime.
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"""
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from __future__ import annotations
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from pathlib import Path
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from typing import Any
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from unittest.mock import MagicMock, patch
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from uuid import uuid4
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import pytest
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from my_deepagent.artifact_schema import ArtifactSchemaRegistry
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from my_deepagent.binding import (
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BackendAvailability,
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PersonaConsentStore,
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)
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from my_deepagent.config import load_config
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from my_deepagent.engine import WorkflowEngine
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from my_deepagent.enums import Backend
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from my_deepagent.persistence.checkpointer import get_checkpointer_ctx
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from my_deepagent.persistence.db import Database
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from my_deepagent.persona import load_personas_from_dir
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from my_deepagent.workflow import load_workflow_yaml
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pytestmark = [pytest.mark.integration]
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_SEED_ROOT = Path(__file__).resolve().parents[2] / "docs" / "schemas"
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# ---------------------------------------------------------------------------
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# Contract 1: engine wires saver + thread_id correctly
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# ---------------------------------------------------------------------------
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@pytest.mark.asyncio
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async def test_engine_passes_saver_and_thread_id_to_agent(tmp_path: Path, pg_db_url: str) -> None:
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"""`build_agent` receives `checkpointer=saver`; `ainvoke` receives matching thread_id."""
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captured_build: dict[str, Any] = {}
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captured_invoke_configs: list[dict[str, Any]] = []
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def fake_build_agent(*args: Any, **kwargs: Any) -> Any:
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captured_build.update(kwargs)
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fake_agent = MagicMock()
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async def _ainvoke(
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_payload: dict[str, Any],
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*,
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config: dict[str, Any] | None = None,
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) -> dict[str, Any]:
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captured_invoke_configs.append(config or {})
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# Pretend the agent wrote the expected artifact.
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root_dir: Path = kwargs["root_dir"]
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artifact_path = root_dir / "artifacts" / "spec.json"
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artifact_path.parent.mkdir(parents=True, exist_ok=True)
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artifact_path.write_text(
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'{"runId": "00000000-0000-0000-0000-000000000000", '
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'"workflowId": "spec-and-review", "phaseKey": "spec", '
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'"persona": "test", "summary": "fake", "decisions": [], '
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'"openQuestions": []}',
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encoding="utf-8",
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)
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return {"messages": []}
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fake_agent.ainvoke = _ainvoke
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return fake_agent
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ws_root = tmp_path / "ws"
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ws_root.mkdir()
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config = load_config(
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workspace_root=ws_root,
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data_dir=tmp_path / "data",
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state_dir=tmp_path / "state",
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database_url=pg_db_url,
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)
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template = load_workflow_yaml(_SEED_ROOT / "workflows" / "spec-and-review@1.yaml")
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personas = load_personas_from_dir(_SEED_ROOT / "personas")
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registry = ArtifactSchemaRegistry(roots=[_SEED_ROOT / "artifacts"])
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consent = PersonaConsentStore(tmp_path / "consents.json")
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backends = BackendAvailability(available_backends=frozenset(Backend))
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db = Database(config.database_url)
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await db.init_schema()
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async def _auto_approve(_payload: dict[str, Any], _gates: list[str]) -> Any:
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from my_deepagent.enums import ApprovalDecisionAction
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return ApprovalDecisionAction.APPROVE
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engine = WorkflowEngine(
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db=db,
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config=config,
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persona_pool=personas,
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artifact_registry=registry,
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consent_store=consent,
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available_backends=backends,
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approval_callback=_auto_approve,
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)
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with patch("my_deepagent.engine.build_agent", side_effect=fake_build_agent):
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try:
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await engine.run(
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template,
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repo_path=tmp_path / "fake-repo",
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base_branch="main",
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requirements_md="test",
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)
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finally:
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await db.dispose()
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# Contract 1.a: build_agent received a checkpointer (not None)
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assert "checkpointer" in captured_build
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assert captured_build["checkpointer"] is not None, "engine must forward saver to build_agent"
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# Contract 1.b: ainvoke received a config with thread_id matching the
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# run:<uuid>:phase:<uuid> format
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assert captured_invoke_configs, "ainvoke must have been called at least once"
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first_config = captured_invoke_configs[0]
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assert "configurable" in first_config
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thread_id = first_config["configurable"].get("thread_id")
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assert thread_id is not None, "thread_id must be set in agent.ainvoke config"
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assert thread_id.startswith("run:"), f"unexpected thread_id format: {thread_id!r}"
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assert ":phase:" in thread_id
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# ---------------------------------------------------------------------------
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# Contract 2: AsyncPostgresSaver thread isolation + round-trip
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# ---------------------------------------------------------------------------
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@pytest.mark.asyncio
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async def test_async_postgres_saver_round_trip_isolated_threads(pg_db_url: str) -> None:
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"""Two different thread_ids write to different rows; same thread_id reads back."""
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thread_a = f"run:{uuid4()}:phase:{uuid4()}"
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thread_b = f"run:{uuid4()}:phase:{uuid4()}"
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# First open: setup() runs the LangGraph DDL.
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async with get_checkpointer_ctx(pg_db_url) as saver:
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# Verify LangGraph created its own tables alongside the alembic schema.
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conn_url = pg_db_url.replace("postgresql+asyncpg://", "postgresql://")
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from psycopg import connect
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with connect(conn_url, autocommit=True) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"""
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SELECT tablename FROM pg_tables
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WHERE schemaname='public'
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AND tablename LIKE 'checkpoint%%'
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"""
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)
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lg_tables = {row[0] for row in cur.fetchall()}
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assert "checkpoints" in lg_tables, (
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f"AsyncPostgresSaver did not create the `checkpoints` table; got {lg_tables}"
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)
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# Write a synthetic checkpoint to thread_a.
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from langgraph.checkpoint.base import empty_checkpoint
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ck_a = empty_checkpoint()
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ck_a["channel_values"] = {"messages": ["hello from a"]}
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# AsyncPostgresSaver requires both thread_id AND checkpoint_ns in
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# configurable; LangGraph's prebuilt graphs default checkpoint_ns to
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# "" so we replicate that here. new_versions advertises that the
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# "messages" channel is at version 1. RunnableConfig is a TypedDict
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# so we cast through Any for mypy.
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config_a: Any = {"configurable": {"thread_id": thread_a, "checkpoint_ns": ""}}
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await saver.aput(config_a, ck_a, {"source": "input", "step": 1}, {"messages": "1"})
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# And one to thread_b
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ck_b = empty_checkpoint()
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ck_b["channel_values"] = {"messages": ["hello from b"]}
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config_b: Any = {"configurable": {"thread_id": thread_b, "checkpoint_ns": ""}}
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await saver.aput(config_b, ck_b, {"source": "input", "step": 1}, {"messages": "1"})
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# Each thread must read back its own latest checkpoint and not the other's.
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# LangGraph's internal serialization shape is opaque — we only verify
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# the wiring guarantees thread isolation (different IDs return distinct
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# checkpoints) and round-trip (aput → aget returns a non-None result).
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latest_a = await saver.aget(config_a)
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assert latest_a is not None, "thread_a checkpoint must persist across aget"
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latest_b = await saver.aget(config_b)
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assert latest_b is not None, "thread_b checkpoint must persist across aget"
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# Sanity: the two checkpoint IDs are distinct (proves thread isolation).
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assert latest_a["id"] != latest_b["id"]
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