AgentCoreMemorySessionManager with batch_size > 1 restores agents without the changes made in their previous invocation

Inizia in src/bedrock_agentcore/memory/integrations/strands/session_manager.py: read_agent (~L474) preleva payload[0] dell'evento AGENT più recente, mentre il flush (L1137-L1182) appende SessionAgents dal più vecchio al più recente, quindi l'ultimo salvataggio non viene mai letto. Incolla lo script di riproduzione dell'issue (data plane in memoria, batch_size=10) per riprodurre model_calls bloccato a 1, poi cambia l'indice e conferma che l'agent ripristinato legge 3. Finito significa che la riproduzione passa per state, sliding-window history, interrupt resume e overflow, con un test di regressione aggiunto accanto agli esistenti test di session_manager.

With batch_size > 1, an agent restored by AgentCoreMemorySessionManager does not get the changes made in its previous invocation. This happens when the app builds a new Agent and session manager for each request, the usual way to serve many sessions since session_id is fixed in AgentCoreMemoryConfig. The restore raises and logs nothing: the agent just starts from an older state.

What breaks, with batch_size=10:

• Values written to agent.state during an invocation are missing in the next one. In the repro below, a counter kept in agent.state never goes past 1.
• Since 1.23.1, Strands' default conversation manager, SlidingWindowConversationManager, stops limiting the history across requests. Each restore comes back with removed_message_count=0 and every message of the session, so each request sends the whole conversation to the model. With window_size=4, eight requests sent 1, 3, 5, 7, 9, 11, 13 and 15 messages. On 1.20.0 they sent 1, 3, 5, 5, 5, 5, 5 and 5.
• Since 1.23.1, an interrupt cannot be resumed from a new agent: the call with the interruptResponse raises ValueError: Received interrupt responses but agent is not in interrupt state. On 1.20.0, or with batch_size=1, it resumes.
• After a context-window overflow, Strands removes the oldest messages, but the next restore brings them back. This one also happens on 1.20.0.

Cause (links to v1.24.0):

Strands saves the agent as a SessionAgent, which holds agent.state, the conversation manager state and the interrupt state. It calls sync_agent after each new message and once more at the end of the invocation. With batch_size > 1, each SessionAgent is appended to a buffer (L400). The buffer is flushed as one AGENT event whose payload holds those SessionAgents, oldest first (L1137-L1182). On restore, read_agent takes the newest AGENT event and reads payload[0] (L474), the oldest SessionAgent in it.

The first sync_agent after a restore always writes, so each invocation's AGENT event starts with the SessionAgent the agent was restored from, and the changes saved after it are never read back.

Up to 1.23.0, the SessionAgent saved at the end of the invocation stayed in the buffer until the next flush, so it started a later event and was restored. Since 1.23.1 (#664), the flush at AfterInvocationEvent runs after that last sync_agent (L948-L954), so the end-of-invocation SessionAgent lands in the same event and is lost too. That is why the sliding-window and interrupt cases only fail since 1.23.1.

Repro, with no AWS account: the data plane is an in-memory fake that returns events newest first, which is what read_agent expects from ListEvents. Each turn builds a new agent on the same session, as a server does for each request, and a hook counts model calls in agent.state.

import copy, os

os.environ.update(AWS_ACCESS_KEY_ID="x", AWS_SECRET_ACCESS_KEY="x", AWS_DEFAULT_REGION="eu-west-1", AWS_ENDPOINT_URL="http://127.0.0.1:9")

from bedrock_agentcore.memory.integrations.strands.config import AgentCoreMemoryConfig
from bedrock_agentcore.memory.integrations.strands.session_manager import AgentCoreMemorySessionManager
from strands import Agent
from strands.hooks import BeforeModelCallEvent
from strands.models.model import Model


class InMemoryDataPlane:
    def __init__(self):
        self.events = []

    def create_event(self, **params):
        self.events.append(copy.deepcopy(params))
        return {"event": {"eventId": f"e{len(self.events)}"}}

    def list_events(self, **params):
        def matches(event):
            metadata = event.get("metadata") or {}
            return all(
                metadata.get(f["left"]["metadataKey"], {}).get("stringValue") == f["right"]["metadataValue"]["stringValue"]
                for f in params.get("filter", {}).get("eventMetadata", [])
            )

        return {"events": [e for e in reversed(self.events) if matches(e)][: params["maxResults"]]}


class Session:
    region_name = "eu-west-1"

    def __init__(self, plane):
        self.plane = plane

    def client(self, name, **kwargs):
        return self.plane


class EchoModel(Model):
    def update_config(self, **kwargs): pass
    def get_config(self): return {}
    def structured_output(self, *args, **kwargs): raise NotImplementedError

    async def stream(self, messages, *args, **kwargs):
        yield {"messageStart": {"role": "assistant"}}
        yield {"contentBlockDelta": {"contentBlockIndex": 0, "delta": {"text": "ok"}}}
        yield {"contentBlockStop": {"contentBlockIndex": 0}}
        yield {"messageStop": {"stopReason": "end_turn"}}


def count_model_calls(event):
    event.agent.state.set("model_calls", (event.agent.state.get("model_calls") or 0) + 1)


def new_agent(plane):
    manager = AgentCoreMemorySessionManager(
        AgentCoreMemoryConfig(memory_id="m", session_id="s", actor_id="a", batch_size=10),
        region_name="eu-west-1",
        boto_session=Session(plane),
    )
    agent = Agent(model=EchoModel(), session_manager=manager, callback_handler=None)
    agent.hooks.add_callback(BeforeModelCallEvent, count_model_calls)
    return agent, manager


plane = InMemoryDataPlane()

for turn in (1, 2, 3):
    agent, manager = new_agent(plane)
    with manager:
        agent(f"question {turn}")
    print(f"after turn {turn}: model_calls={agent.state.get('model_calls')}")  # expected 1, 2, 3

restored, _ = new_agent(plane)
print("restored:", restored.state.get("model_calls"))  # expected 3

Expected: model_calls is 1, 2 and 3 after the three turns, and the restored agent reads 3, which is what batch_size=1 gives. Actual, on every version below: model_calls=1 after each turn, then restored: None. The newest AGENT event holds two SessionAgents whose state is {} and {"model_calls": 1}, and read_agent returns the first.

Suggested fix: read_agent reads payload[-1] instead of payload[0]. With that one-line change, the repro restores 3, and the sliding-window, interrupt and overflow cases behave as with batch_size=1. Sessions stored by affected versions then restore the last SessionAgent they saved, which keeping only the latest SessionAgent in the buffer would not do.

Versions tested: bedrock-agentcore 1.20.0 with strands-agents 1.45.0, 1.23.1 with 1.57.2, and 1.24.0 with 1.57.2 and 1.58.0, on Python 3.13. main has the same code as 1.24.0.