feat(runtime): host execution registry, web checkpointer, stop control and sandbox cancellation

EvoScientist/EvoScientist.py

@@ -1104,6 +1104,30 @@ def __getattr__(name: str):
 # =============================================================================
 
 
+def _create_run_summarization_middleware(model, backend, summarizer):
+    """Resolve context thresholds against the consuming model, not the summarizer."""
+    from deepagents.middleware.summarization import (
+        SummarizationMiddleware, compute_summarization_defaults,
+    )
+
+    defaults = compute_summarization_defaults(model)
+    window = (model.profile or {}).get("max_input_tokens")
+
+    def absolute(value):
+        if isinstance(value, tuple) and value[0] == "fraction":
+            if not isinstance(window, int) or window <= 0:
+                raise ValueError("fraction threshold requires a main-model context window")
+            return ("tokens", int(window * value[1]))
+        if isinstance(value, dict):
+            return {key: absolute(item) for key, item in value.items()}
+        return value
+
+    return SummarizationMiddleware(
+        model=summarizer, backend=backend,
+        trim_tokens_to_summarize=None, **absolute(defaults),
+    )
+
+
 def create_cli_agent(
     workspace_dir: str | None = None,
     checkpointer=None,
@@ -1180,9 +1204,15 @@ def create_cli_agent(
     # locals and write no module globals. Otherwise keep the legacy
     # global-writing behavior — callers that pass config= only (CLI startup,
     # langgraph dev) rely on it to seat the active config/model.
+    is_web = getattr(execution_profile, "name", "") in {"web_v1", "web_v3"}
+    if is_web and any(value is None for value in (
+        config, chat_model, workspace_dir, memory_dir, workspace_backend, checkpointer
+    )):
+        raise ValueError("Web execution requires explicit config/model/workspace/memory/backend/checkpointer")
     if config is not None and chat_model is not None:
         cfg = config
-        _apply_env_from_config(cfg)
+        if not is_web:
+            _apply_env_from_config(cfg)
     else:
         cfg = _ensure_config(config)
         chat_model = None
@@ -1228,7 +1258,8 @@ def create_cli_agent(
 
     # Always construct fresh backends from current paths (avoids stale
     # module-level backend when workspace root changed at runtime).
-    set_active_workspace(workspace_dir)
+    if not is_web:
+        set_active_workspace(workspace_dir)
     ws_backend = workspace_backend
     if ws_backend is None:
         ws_backend = CustomSandboxBackend(
@@ -1248,6 +1279,7 @@ def create_cli_agent(
     )
     be = CompositeBackend(
         default=ws_backend,
+        artifacts_root="/workspace" if is_web else "/",
         routes={
             "/skills/": sk_backend,
             "/memories/": mem_backend,
@@ -1303,7 +1335,9 @@ def create_cli_agent(
     )
     mw.insert(
         (error_index + 1) if error_index is not None else 0,
-        ProviderContextMediaMiddleware(be),
+        ProviderContextMediaMiddleware(
+            be, media_prefix="/workspace/artifacts/model-output" if is_web else "/artifacts/model-output"
+        ),
     )
     if main_agent_route_middleware is not None:
         configurable_index = next(
@@ -1324,7 +1358,13 @@ def create_cli_agent(
     # HITL on main agent only — passing `interrupt_on=` to create_deep_agent
     # would propagate it to every subagent, breaking parallel execute calls
     # (multi-pending-interrupt LangGraph error).
-    if not cfg.auto_approve:
+    if is_web:
+        from .middleware.dynamic_review import DynamicReviewMiddleware
+
+        mw.append(DynamicReviewMiddleware(interrupt_on={
+            "execute": True, "run_in_background": True, "schedule_task": True,
+        }))
+    elif not cfg.auto_approve:
         mw.append(
             HumanInTheLoopMiddleware(
                 interrupt_on={
@@ -1346,8 +1386,37 @@ def create_cli_agent(
     )
     if not enable_subagents:
         kwargs = {**kwargs, "subagents": []}
+    if is_web:
+        kwargs = {**kwargs, "tools": [
+            tool for tool in kwargs.get("tools", [])
+            if getattr(tool, "name", "") != "skill_manager"
+        ]}
     kwargs = _apply_budgeted_skill_context(kwargs, be)
 
+    if agent_model_set is not None:
+        from types import FunctionType
+        def create_run_summarizer(model, backend):
+            return _create_run_summarization_middleware(
+                model, backend, agent_model_set.deepagents_summarizer,
+            )
+
+        # deepagents currently has no per-call summarizer factory parameter.
+        # Scope its existing assembly function to this run, never patch module
+        # globals or register a process-wide profile containing tenant models.
+        if (not isinstance(create_deep_agent, FunctionType)
+                or "create_summarization_middleware" not in create_deep_agent.__code__.co_names):
+            raise RuntimeError("Unsupported deepagents assembly; revalidate summarizer adapter")
+        create_deep_agent = FunctionType(
+            create_deep_agent.__code__,
+            {**create_deep_agent.__globals__,
+             "create_summarization_middleware": create_run_summarizer},
+            create_deep_agent.__name__,
+            create_deep_agent.__defaults__,
+            create_deep_agent.__closure__,
+        )
+        from deepagents import create_deep_agent as original_factory
+        create_deep_agent.__kwdefaults__ = original_factory.__kwdefaults__
+
     return create_deep_agent(
         **kwargs,
         checkpointer=checkpointer,

EvoScientist/langgraph_dev/http.py

@@ -26,7 +26,7 @@ import asyncio
 import json
 import os
 import secrets
-from typing import Any
+from typing import Any, cast
 from uuid import UUID
 
 from starlette.applications import Starlette
@@ -104,6 +104,11 @@ async def recoverable_run_capabilities(_request: Request) -> JSONResponse:
         {
             "version": 1,
             "deterministic_run_id": True,
+            # The dev adapter uses process-local Runs storage. Checkpoint
+            # durability does not make execution identity restart-safe.
+            "durable_run_identity": False,
+            "worker_exit_confirmation": True,
+            "run_not_found_proves_absence": False,
             "stream_resumable": True,
             "durability_sync": True,
             "multitask_enqueue": True,
@@ -270,16 +275,99 @@ async def bind_workspace_run(request: Request) -> JSONResponse:
     return JSONResponse(_run_payload(run))
 
 
+async def _compatible_checkpoint(conn, thread_id: str, assistant_id: str,
+                                 config: dict) -> tuple[bool, bool]:
+    """Read through the API-owned saver and graph factory, never execute here."""
+    from langgraph_api._checkpointer import get_checkpointer
+    from langgraph_api.graph import get_graph, graph_exists
+    from langgraph_api.store import get_store
+
+    saver = await get_checkpointer(conn=conn)
+    read_config = {**config, "configurable": {
+        **config.get("configurable", {}), "thread_id": thread_id,
+        "checkpoint_ns": "",
+    }}
+    # Admission always checks the current head, never a caller-selected ancestor.
+    read_config["configurable"].pop("checkpoint_id", None)
+    checkpoint = await saver.aget_tuple(read_config)
+    if checkpoint is None:
+        return False, False
+    graph_id = assistant_id
+    if not graph_exists(graph_id):
+        from langgraph_runtime.ops import Assistants
+        from langgraph_api.utils import fetchone
+        assistant = await fetchone(await Assistants.get(conn, UUID(assistant_id)))
+        graph_id = assistant["graph_id"]
+    if checkpoint.metadata.get("graph_id", graph_id) != graph_id:
+        raise ValueError("checkpoint graph mismatch")
+    # get_graph enters coroutine/async-context-manager factories and binds the
+    # same API saver used by the worker. aget_state also validates delta seeds.
+    async with get_graph(graph_id, read_config, checkpointer=saver,
+                         store=await get_store(), access_context="threads.read") as graph:
+        state = await graph.aget_state(read_config, subgraphs=True)
+    pending = bool(getattr(state, "interrupts", ())) or any(
+        task.interrupts for task in state.tasks
+    )
+    return True, pending
+
+
+async def _has_legacy_history(conn, thread_id: str) -> bool:
+    """Resolve Web history from PostgreSQL and the Runtime registry only."""
+    dsn = os.getenv("EVOSCIENTIST_WEB_CHECKPOINT_DSN", "")
+    if dsn:
+        from psycopg import AsyncConnection
+        async with await AsyncConnection.connect(
+            dsn, autocommit=True, connect_timeout=5,
+            options="-c default_transaction_read_only=on -c search_path=public",
+        ) as pg:
+            async with pg.cursor() as cursor:
+                await cursor.execute("SELECT EXISTS(SELECT 1 FROM threads WHERE id=%s::uuid)",
+                                     (thread_id,))
+                row = await cursor.fetchone()
+                if row and row[0]:
+                    return True
+    from langgraph_api.utils import fetchone
+    from langgraph_runtime.ops import Threads
+    try:
+        await fetchone(await Threads.get(conn, UUID(thread_id)))
+    except Exception as exc:
+        if getattr(exc, "status_code", None) != 404:
+            raise
+        return False
+    return True
+
+
+async def _history_admission(conn, thread_id, assistant_id, config, operation, history):
+    exists, pending = await _compatible_checkpoint(conn, thread_id, assistant_id, config)
+    if operation == "resume":
+        return "resume" if exists and pending else "CHECKPOINT_RESUME_UNAVAILABLE"
+    if pending:
+        return "THREAD_AWAITING_INPUT"
+    if exists:
+        return "append"
+    if history is not None:
+        return "initialize"
+    return "HISTORY_REQUIRED" if await _has_legacy_history(conn, thread_id) else "new"
+
+
 async def create_recoverable_run(request: Request) -> JSONResponse:
     """Create a LangGraph Run with a caller-owned deterministic UUID.
 
     LangGraph's public create endpoint always generates its own UUID.  This
     adapter performs lookup and insertion while holding the process-wide run
     creation lock and passes the durable request UUID to ``create_valid_run``.
-    Retrying after a lost HTTP response therefore cannot create another Run.
+    This prevents duplicate creation only while this process retains the Run.
+    A lost response followed by a restart MUST NOT be retried as a fresh create:
+    the dev backend forgets Runs, and a 404 is not evidence of non-execution.
     """
 
-    if request.headers.get("x-auth-scheme") != "langsmith":
+    from EvoScientist.internal_service import internal_service_token
+
+    token = internal_service_token()
+    if not token:
+        return JSONResponse({"code": "WORKSPACE_SERVICE_UNAVAILABLE"}, status_code=503)
+    header = request.headers.get("authorization", "")
+    if not header.startswith("Bearer ") or not secrets.compare_digest(header[7:], token):
         return JSONResponse({"code": "UNAUTHORIZED"}, status_code=401)
     value = await request.json()
     if not isinstance(value, dict):
@@ -303,17 +391,25 @@ async def create_recoverable_run(request: Request) -> JSONResponse:
     if operation == "resume":
         if (
             value.get("input") is not None
+            or value.get("history") is not None
             or not isinstance(command, dict)
             or set(command) != {"resume"}
         ):
             return JSONResponse({"code": "INVALID_RESUME_REQUEST"}, status_code=400)
     elif command is not None:
         return JSONResponse({"code": "INVALID_START_REQUEST"}, status_code=400)
+    history = value.get("history")
+    # History validation is performed under the create lock, after idempotent
+    # lookup. Only that branch can attest this request did not create a Run.
 
     from langgraph_api.models.run import Runs, create_valid_run
     from langgraph_api.utils import fetchone
     from langgraph_runtime.database import connect
 
+    from EvoScientist.langgraph_dev import worker_exit
+
+    worker_exit.install()
+
     payload = {
         "assistant_id": assistant_id,
         "input": value.get("input"),
@@ -331,6 +427,13 @@ async def create_recoverable_run(request: Request) -> JSONResponse:
         "run_request_id": run_request_id,
         "request_hash": request_hash,
     }
+    # The admission read and the worker must address the same current head.
+    # Forking from an ancestor is not part of the recoverable-run contract.
+    configurable = dict(payload["config"].get("configurable", {}))
+    for key in ("checkpoint_id", "checkpoint_map"):
+        configurable.pop(key, None)
+    configurable.update(thread_id=thread_id, checkpoint_ns="")
+    payload["config"] = {**payload["config"], "configurable": configurable}
     async with _recoverable_run_lock:
         async with connect() as conn:
             existing_iter = await Runs.get(conn, run_id, thread_id=UUID(thread_id))
@@ -353,6 +456,50 @@ async def create_recoverable_run(request: Request) -> JSONResponse:
                 return JSONResponse(
                     {"run_id": str(existing["run_id"]), "status": existing["status"], "created": False}
                 )
+            try:
+                admission = await _history_admission(
+                    conn, thread_id, assistant_id, payload["config"], operation, history,
+                )
+            except Exception:
+                return JSONResponse({
+                    "code": "CHECKPOINT_UNAVAILABLE", "create_disposition": "not_created",
+                    "run_id": str(run_id), "request_hash": request_hash,
+                }, status_code=503)
+            if admission not in {"new", "initialize", "append", "resume"}:
+                return JSONResponse({
+                    "code": admission, "create_disposition": "not_created",
+                    "run_id": str(run_id), "request_hash": request_hash,
+                }, status_code=409)
+            if history is not None:
+                from EvoScientist.llm.history_rebuild import committed_history_input
+
+                try:
+                    if not isinstance(history, dict):
+                        raise ValueError("history must be an object")
+                    import hashlib
+
+                    history_hash = hashlib.sha256(json.dumps(
+                        history, ensure_ascii=False, sort_keys=True, separators=(",", ":"),
+                    ).encode()).hexdigest()
+                    if value.get("history_hash") != history_hash:
+                        raise ValueError("history hash mismatch")
+                    payload["input"] = committed_history_input(
+                        history, payload["input"], thread_id=thread_id, run_id=str(run_id),
+                        checkpoint_exists=admission == "append",
+                    )
+                    if admission == "initialize":
+                        payload["metadata"].update(
+                            history_hash=history_hash,
+                            history_revision=history["conversation_revision"],
+                            history_schema=history["schema"],
+                        )
+                except (ValueError, TypeError, KeyError, AttributeError):
+                    return JSONResponse({
+                        "code": "INVALID_HISTORY_REQUEST",
+                        "create_disposition": "not_created",
+                        "run_id": str(run_id), "request_hash": request_hash,
+                    }, status_code=400)
+            worker_exit.reserve(thread_id, str(run_id), request_hash)
             created = await create_valid_run(
                 conn,
                 thread_id,
@@ -366,9 +513,53 @@ async def create_recoverable_run(request: Request) -> JSONResponse:
     )
 
 
+async def cancel_recoverable_run(request: Request) -> JSONResponse:
+    from EvoScientist.internal_service import internal_service_token
+
+    token = internal_service_token()
+    if not token:
+        return JSONResponse({"code": "WORKSPACE_SERVICE_UNAVAILABLE"}, status_code=503)
+    header = request.headers.get("authorization", "")
+    if not header.startswith("Bearer ") or not secrets.compare_digest(header[7:], token):
+        return JSONResponse({"code": "UNAUTHORIZED"}, status_code=401)
+    from EvoScientist.langgraph_dev import worker_exit
+    from langgraph_api.models.run import Runs
+    from langgraph_runtime.database import connect
+
+    thread_id = UUID(request.path_params["thread_id"])
+    run_id = UUID(request.path_params["run_id"])
+    # This service principal controls only pairs admitted by authenticated create.
+    if not worker_exit.is_reserved(str(thread_id), str(run_id)):
+        return JSONResponse({"code": "RUN_NOT_AUTHORIZED"}, status_code=404)
+    # Close worker admission before notifying the original runtime control queue.
+    initial = worker_exit.cancel_and_inspect(str(thread_id), str(run_id))
+    if initial.get("execution_exited") is not True:
+        async with connect() as conn:
+            try:
+                await Runs.cancel(conn, [run_id], thread_id=thread_id, action="interrupt")
+            except Exception as exc:
+                if getattr(exc, "status_code", None) not in {404, 409}:
+                    raise
+    receipt = await worker_exit.wait_for_exit(str(thread_id), str(run_id))
+    if receipt.get("execution_exited") is True:
+        async with connect() as conn:
+            try:
+                await Runs.delete(cast(Any, conn), run_id, thread_id=thread_id)
+            except Exception as exc:
+                if getattr(exc, "status_code", None) != 404:
+                    raise
+        receipt = {**receipt, "checkpoint_cleanup": "completed"}
+    return JSONResponse(receipt)
+
+
 app = Starlette(
     routes=[
         Route("/api/models", get_models, methods=["GET"]),
+        Route(
+            "/api/ai4sci/recoverable-runs/{thread_id}/{run_id}/cancel",
+            cancel_recoverable_run,
+            methods=["POST"],
+        ),
         Route(
             "/api/ai4sci/recoverable-runs/capabilities",
             recoverable_run_capabilities,

EvoScientist/langgraph_dev/langgraph.web.json

@@ -0,0 +1,19 @@
+{
+  "dependencies": ["."],
+  "graphs": {
+    "EvoScientist": "EvoScientist.langgraph_dev.main_graph:EvoScientist_agent",
+    "writing-agent": "EvoScientist.langgraph_dev.graphs:writing_agent",
+    "data-analysis-agent": "EvoScientist.langgraph_dev.graphs:data_analysis_agent",
+    "scheduler": "EvoScientist.langgraph_dev.graphs:scheduler",
+    "evomemory-subagent-worker": "EvoScientist.langgraph_dev.graphs:evomemory_subagent_worker",
+    "evomemory-turn-worker": "EvoScientist.langgraph_dev.graphs:evomemory_turn_worker",
+    "evomemory-observation-linker": "EvoScientist.langgraph_dev.graphs:evomemory_observation_linker",
+    "evomemory-autoskills": "EvoScientist.langgraph_dev.graphs:evomemory_autoskills"
+  },
+  "checkpointer": {
+    "backend": "custom",
+    "path": "EvoScientist.web_checkpointer.create_web_checkpointer"
+  },
+  "config": {"recursion_limit": 5000},
+  "http": {"app": "EvoScientist.langgraph_dev.http:app"}
+}

EvoScientist/langgraph_dev/worker_exit.py

@@ -0,0 +1,236 @@
+"""Process-local exit receipts for the existing LangGraph worker.
+
+No receipt survives a restart. Missing receipts never prove execution absent.
+The admission gate also covers a queued worker that has not started yet.
+"""
+
+from __future__ import annotations
+
+import asyncio
+from concurrent.futures import Future
+from contextvars import ContextVar
+from functools import wraps
+from threading import RLock
+from typing import Any, cast
+
+_lock = RLock()
+_runs: dict[tuple[str, str], dict] = {}
+_installed = False
+_owned: ContextVar[bool] = ContextVar("recoverable_worker_owned", default=False)
+_evidence: ContextVar[dict | None] = ContextVar("worker_exit_evidence", default=None)
+
+
+class _ExitBoundary:
+    def __init__(self, context, *, run=False):
+        self.context = context
+        self.run = run
+
+    async def __aenter__(self):
+        return await self.context.__aenter__()
+
+    async def __aexit__(self, typ, value, tb):
+        evidence = _evidence.get()
+        try:
+            result = await self.context.__aexit__(typ, value, tb)
+        except BaseException as exc:
+            # An asynccontextmanager propagating its body exception is not a
+            # cleanup failure. Replacement exceptions are fail-closed.
+            if evidence is not None and exc is not value:
+                evidence["cleanup_failed"] = True
+            if evidence is not None and self.run and exc is value:
+                evidence["run_exited"] = True
+            raise
+        else:
+            if evidence is not None and self.run:
+                evidence["run_exited"] = True
+            return result
+
+
+async def _drain(task):
+    while not task.done():
+        try:
+            await asyncio.shield(task)
+        except asyncio.CancelledError:
+            continue
+        except BaseException:
+            break
+    if not task.cancelled():
+        task.exception()
+
+
+async def _await_remote_future(remote: Future):
+    """Do not let caller cancellation detach a coroutine on a worker thread."""
+    async def wait():
+        return await asyncio.wrap_future(remote)
+
+    task = asyncio.create_task(wait())
+    try:
+        return await asyncio.shield(task)
+    except asyncio.CancelledError:
+        await _drain(task)
+        raise
+
+
+async def _persistent_cancellation_listener(original, queue, run_id, thread_id, done):
+    """The in-memory listener's idle timeout is a poll, not end-of-listening."""
+    while not done.is_set():
+        await original(queue, run_id, thread_id, done)
+
+
+def install() -> None:
+    global _installed
+    from langgraph_api import worker, stream
+    from langgraph_runtime_inmem import ops as inmem_ops
+    from langgraph.pregel._loop import AsyncPregelLoop
+    from quickjs_rs.threading import ThreadWorker
+
+    with _lock:
+        if _installed:
+            return
+        original = worker.worker
+        original_to_thread = asyncio.to_thread
+        original_enter = worker.Runs.enter
+        original_closing = stream.aclosing
+        original_stack = stream.AsyncExitStack
+        original_loop_exit = AsyncPregelLoop.__aexit__
+        original_cancellation_listener = inmem_ops.listen_for_cancellation
+
+
+        class ObservedStack(original_stack):
+            async def __aexit__(self, typ, value, tb):
+                return await _ExitBoundary(super()).__aexit__(typ, value, tb)
+
+        async def loop_exit(self, exc_type, exc_value, traceback):
+            evidence = _evidence.get()
+            if evidence is None:
+                return await original_loop_exit(self, exc_type, exc_value, traceback)
+            try:
+                return await original_loop_exit(self, exc_type, exc_value, traceback)
+            except asyncio.CancelledError as exc:
+                # Installed Pregel exposes its outstanding exit task in args.
+                tasks = [arg for arg in exc.args if isinstance(arg, asyncio.Task)]
+                for task in tasks:
+                    await _drain(task)
+                if evidence is not None and (
+                    not tasks or any(task.cancelled() or task.exception() is not None for task in tasks)
+                ):
+                    evidence["cleanup_failed"] = True
+                raise
+            except BaseException:
+                if evidence is not None:
+                    evidence["cleanup_failed"] = True
+                raise
+
+        cast(Any, worker.Runs).enter = staticmethod(
+            lambda *args, **kw: _ExitBoundary(cast(Any, original_enter)(*args, **kw), run=True)
+        )
+        stream.aclosing = lambda iterator: _ExitBoundary(original_closing(iterator))
+        stream.AsyncExitStack = ObservedStack
+        cast(Any, AsyncPregelLoop).__aexit__ = loop_exit
+
+        async def persistent_cancellation_listener(queue, run_id, thread_id, done):
+            return await _persistent_cancellation_listener(
+                original_cancellation_listener, queue, run_id, thread_id, done
+            )
+
+        def quickjs_run_async(self, coro):
+            self._ensure_started()
+            remote = asyncio.run_coroutine_threadsafe(coro, self._loop)
+            return asyncio.create_task(_await_remote_future(remote))
+
+        inmem_ops.listen_for_cancellation = persistent_cancellation_listener
+        cast(Any, ThreadWorker).run_async = quickjs_run_async
+
+        @wraps(original_to_thread)
+        async def owned_to_thread(func, /, *args, **kwargs):
+            if not _owned.get():
+                return await original_to_thread(func, *args, **kwargs)
+            task = asyncio.create_task(original_to_thread(func, *args, **kwargs))
+            try:
+                return await asyncio.shield(task)
+            except asyncio.CancelledError:
+                await _drain(task)
+                raise
+
+        @wraps(original)
+        async def observed(run, attempt, main_loop, **kwargs):
+            key = (str(run["thread_id"]), str(run["run_id"]))
+            identity = (attempt, object())
+            with _lock:
+                entry = _runs.get(key)
+                if entry is not None:
+                    if entry["cancel_requested"]:
+                        # Cancel closed admission before this queued attempt ran.
+                        return None
+                    entry["active"] += 1
+                    entry["exited"] = False
+                    entry["attempts"][identity] = False
+            result = None
+            token = _owned.set(entry is not None)
+            evidence = {"run_exited": False, "cleanup_failed": False}
+            evidence_token = _evidence.set(evidence if entry is not None else None)
+            try:
+                result = await original(run, attempt, main_loop, **kwargs)
+                return result
+            finally:
+                _owned.reset(token)
+                _evidence.reset(evidence_token)
+                if entry is not None:
+                    with _lock:
+                        entry["active"] -= 1
+                        # Only this invocation can discharge its own evidence.
+                        # Business error/timeout/retry is independent of cleanup.
+                        clean = evidence["run_exited"] and not evidence["cleanup_failed"]
+                        entry["attempts"][identity] = clean
+                        entry["uncertain"] = not all(entry["attempts"].values())
+                        if clean:
+                            entry["exited"] = True
+                            entry["status"] = result["status"] if result else "retry"
+
+        worker.worker = observed
+        asyncio.to_thread = owned_to_thread
+        _installed = True
+
+
+def reserve(thread_id: str, run_id: str, request_hash: str) -> None:
+    with _lock:
+        _runs.setdefault((thread_id, run_id), {
+            "request_hash": request_hash, "active": 0,
+            "cancel_requested": False, "exited": False,
+            "uncertain": False, "status": "pending", "attempts": {},
+        })
+
+
+def is_reserved(thread_id: str, run_id: str) -> bool:
+    with _lock:
+        return (thread_id, run_id) in _runs
+
+
+def cancel_and_inspect(thread_id: str, run_id: str) -> dict:
+    with _lock:
+        entry = _runs.get((thread_id, run_id))
+        if entry is None:
+            return {"run_id": run_id, "thread_id": thread_id, "execution_exited": False}
+        entry["cancel_requested"] = True
+        # No active worker plus closed admission is safe even for pending work.
+        # A worker that escaped abnormally keeps uncertainty latched.
+        stopped = entry["active"] == 0 and not entry["uncertain"]
+        return {
+            "run_id": run_id, "thread_id": thread_id,
+            "request_hash": entry["request_hash"],
+            "execution_exited": stopped,
+            "exit_kind": "worker_returned" if entry["exited"] else "admission_closed",
+            "status": entry["status"] if entry["exited"] else "interrupted",
+        }
+
+
+async def wait_for_exit(thread_id: str, run_id: str, timeout: float = 3.0) -> dict:
+    deadline = asyncio.get_running_loop().time() + timeout
+    while True:
+        receipt = cancel_and_inspect(thread_id, run_id)
+        if receipt.get("execution_exited") is True:
+            return receipt
+        remaining = deadline - asyncio.get_running_loop().time()
+        if remaining <= 0:
+            return receipt
+        await asyncio.sleep(min(0.02, remaining))

EvoScientist/middleware/provider_context.py

@@ -66,7 +66,7 @@ def _provider_reference(block: Mapping[str, Any]) -> dict[str, str] | None:
     if (
         block_type not in {"image", "audio", "video"}
         or not isinstance(path, str)
-        or not path.startswith(f"{_MEDIA_PREFIX}/")
+        or not path.startswith((f"{_MEDIA_PREFIX}/", f"/workspace{_MEDIA_PREFIX}/"))
     ):
         return None
     mime = str(block.get("mime_type") or f"{block_type}/unknown")
@@ -193,16 +193,18 @@ class ProviderContextMediaMiddleware(AgentMiddleware):
         backend: Any,
         *,
         max_inline_media_bytes: int = _DEFAULT_MAX_INLINE_MEDIA_BYTES,
+        media_prefix: str = _MEDIA_PREFIX,
     ) -> None:
         self.backend = backend
+        self.media_prefix = media_prefix
         self.max_inline_media_bytes = max(1, int(max_inline_media_bytes))
 
-    @staticmethod
     def _paths_for(
+        self,
         media: Mapping[str, tuple[str, bytes]],
     ) -> dict[str, tuple[str, str]]:
         return {
-            digest: (f"{_MEDIA_PREFIX}/{digest[:24]}.{_extension(mime)}", mime)
+            digest: (f"{self.media_prefix}/{digest[:24]}.{_extension(mime)}", mime)
             for digest, (mime, _raw) in media.items()
         }
 

EvoScientist/middleware/recoverable_tools.py

@@ -19,8 +19,8 @@ try:
 except ImportError:  # pragma: no cover - compatibility with older LangGraph
     _GraphInterrupt = None  # type: ignore[assignment,misc]
 
-from EvoScientist.llm.contracts import EvoRuntimeError
 from EvoScientist.internal_service import internal_service_headers
+from EvoScientist.llm.contracts import EvoRuntimeError
 
 if TYPE_CHECKING:
     from langchain.agents.middleware.types import ToolCallRequest
@@ -44,6 +44,15 @@ _IDEMPOTENT_NAMES = {
 logger = logging.getLogger(__name__)
 
 
+def _callback_unavailable(exc: BaseException) -> bool:
+    if isinstance(exc, httpx.TransportError):
+        return True
+    return (
+        isinstance(exc, httpx.HTTPStatusError)
+        and exc.response.status_code >= 500
+    )
+
+
 def _canonical(value: Any) -> str:
     return json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(",", ":"), default=str)
 
@@ -213,7 +222,9 @@ class RecoverableToolEffectMiddleware(AgentMiddleware):
                         "result": {},
                     },
                 )
-            except httpx.TransportError:
+            except BaseException as callback_exc:
+                if not _callback_unavailable(callback_exc):
+                    raise
                 logger.exception(
                     "tool-effect failure callback transport failed run_id=%s tool=%s effect_id=%s",
                     proxy["run_id"],
@@ -238,7 +249,9 @@ class RecoverableToolEffectMiddleware(AgentMiddleware):
                     "result": payload,
                 },
             )
-        except httpx.TransportError:
+        except BaseException as callback_exc:
+            if not _callback_unavailable(callback_exc):
+                raise
             logger.exception(
                 "tool-effect terminal callback transport failed run_id=%s tool=%s effect_id=%s",
                 proxy["run_id"],

EvoScientist/native_sandbox.py

@@ -520,13 +520,17 @@ def _collect_process(
     except subprocess.TimeoutExpired:
         _terminate_process_group(process)
         return_code = process.wait(timeout=1)
+    except BaseException:
+        # Losing the output reader must not leave the command executing.
+        _terminate_process_group(process)
+        process.wait(timeout=1)
+        raise
     finally:
+        _kill_remaining_process_group(process)
         selector.close()
         for stream in streams:
             stream.close()
 
-    _kill_remaining_process_group(process)
-
     if timed_out:
         return_code = 124
     elif cancelled:
@@ -735,10 +739,17 @@ class NativeWorkspaceBackend(ScopedFilesystemBackend, SandboxBackendProtocol):
             return await asyncio.shield(task)
         except asyncio.CancelledError:
             cancel_event.set()
-            try:
+            # A cancelled coroutine still owns its thread until cleanup finishes.
-                await asyncio.wait_for(asyncio.shield(task), timeout=2)
+            # Repeated cancellation must not orphan the worker either.
-            except (TimeoutError, asyncio.CancelledError):
+            while not task.done():
-                pass
+                try:
+                    await asyncio.shield(task)
+                except asyncio.CancelledError:
+                    continue
+                except Exception:
+                    break
+            if not task.cancelled():
+                task.exception()
             raise
 
 

EvoScientist/stream/emitter.py

@@ -34,6 +34,19 @@ class StreamEventEmitter:
             "thinking", {"type": "thinking", "content": content, "id": thinking_id}
         )
 
+    @staticmethod
+    def reasoning_summary(summary: str) -> StreamEvent:
+        """Provider-declared user-visible reasoning summary."""
+        return StreamEvent(
+            "reasoning_summary",
+            {
+                "type": "reasoning_summary",
+                "summary": summary,
+                "visibility": "user_visible_summary",
+                "source_kind": "provider_summary",
+            },
+        )
+
     @staticmethod
     def text(content: str) -> StreamEvent:
         """Text content event."""

EvoScientist/stream/events.py

@@ -34,6 +34,7 @@ from .v3_payloads import (
     _event_data,
     _event_namespace,
     _reasoning_from_content,
+    _reasoning_summary_from_content,
     _split_message_event_data,
     _strip_legacy_thinking_tags,
     _text_from_content,
@@ -570,6 +571,9 @@ class _V3EventProcessor:
             emitted_reasoning = bool(reasoning)
 
         content = msg.content
+        reasoning_summary = _reasoning_summary_from_content(content)
+        if reasoning_summary and subagent is None:
+            events.append(self.emitter.reasoning_summary(reasoning_summary).data)
         if not emitted_reasoning:
             events.extend(
                 self._emit_thinking(_reasoning_from_content(content), subagent)
@@ -961,6 +965,7 @@ async def stream_agent_events(
     callbacks: list[Any] | None = None,
     configurable: dict[str, Any] | None = None,
     error_mode: str = "emit",
+    stop_owner: Any = None,
 ) -> AsyncGenerator[dict[str, Any], None]:
     """Stream events from a DeepAgents/LangGraph v3 run.
 
@@ -1036,6 +1041,8 @@ async def stream_agent_events(
         stream = (
             await stream_result if inspect.isawaitable(stream_result) else stream_result
         )
+        if stop_owner is not None:
+            stop_owner.attach(stream)
 
         async def _put_events(events: list[dict[str, Any]]) -> None:
             for event in events:
@@ -1091,6 +1098,10 @@ async def stream_agent_events(
                 if completion_tasks:
                     await asyncio.gather(*completion_tasks)
             finally:
+                for task in completion_tasks:
+                    if not task.done():
+                        task.cancel()
+                await asyncio.gather(*completion_tasks, return_exceptions=True)
                 subagents.close()
 
         async def _run_producer(coro: Any) -> None:
@@ -1146,18 +1157,23 @@ async def stream_agent_events(
             ).data
         raise
     finally:
-        if stream is not None:
+        abort_error = None
+        if stop_owner is not None:
+            await asyncio.shield(stop_owner.start(producers))
+        elif stream is not None:
             try:
                 result = stream.abort()
                 if inspect.isawaitable(result):
                     await result
-            except Exception:
+            except Exception as exc:
-                pass
+                abort_error = exc
         for task in producers:
             if not task.done():
                 task.cancel()
         if producers:
             await asyncio.gather(*producers, return_exceptions=True)
+        if abort_error is not None and config_values.get("checkpoint_writer_strict_close"):
+            raise RuntimeError("CHECKPOINT_WRITER_STOP_UNCONFIRMED") from abort_error
         # When the run ended with an exception the LangGraph checkpoint may be
         # left interrupted (``next`` non-empty). Clear it — unless it's a real
         # human-in-the-loop pause — so the next user message starts a fresh turn

EvoScientist/stream/stop.py

@@ -0,0 +1,120 @@
+"""Instance-local stop adapter for LangGraph 1.2.6, SQLite saver 3.0.3.
+
+No detached writers or foreign update_state/raw SQL writers are supported.
+aiosqlite 0.22.1's FIFO commit is the connection barrier, not its saver lock.
+"""
+import asyncio
+from importlib.metadata import version
+from typing import Any
+
+
+class StreamStop:
+    def __init__(self):
+        self.graph: Any = None
+        self.stream = None
+        self.pulls = set()
+        self.exits = set()
+        self.errors = []
+        self.task = None
+        self.unsupported = False
+        self.exit_tasks_observed = 0
+        self.unconfirmed_exit = asyncio.Event()
+
+    def attach(self, stream):
+        from langgraph.stream.run_stream import AsyncGraphRunStream
+        if version("langgraph") != "1.2.6" or type(stream) is not AsyncGraphRunStream:
+            self.unsupported = True
+            raise RuntimeError("CHECKPOINT_STOP_ADAPTER_UNSUPPORTED")
+        self.stream = stream
+        self.graph = stream._graph_aiter
+        stream._graph_aiter = self
+
+    def __aiter__(self):
+        return self
+
+    def _record(self, exc):
+        self.exits.update(arg for arg in exc.args if isinstance(arg, asyncio.Future))
+
+    async def __anext__(self):
+        task = asyncio.current_task()
+        self.pulls.add(task)
+        try:
+            return await self.graph.__anext__()
+        except BaseException as exc:
+            self._record(exc)
+            raise
+        finally:
+            self.pulls.discard(task)
+
+    async def _retry_close(self, close):
+        while True:
+            try:
+                await close()
+                return
+            except BaseException as exc:
+                self._record(exc)
+                self.errors.append(exc)
+                await self._settle_exits()
+                await asyncio.sleep(0.05)
+
+    async def _settle_exits(self):
+        while self.exits:
+            tasks = tuple(self.exits)
+            self.exit_tasks_observed += len(tasks)
+            results = await asyncio.gather(*tasks, return_exceptions=True)
+            self.exits.difference_update(tasks)
+            for result in results:
+                if isinstance(result, BaseException):
+                    self._record(result)
+                    self.errors.append(result)
+                    # A failed/cancelled stack exit is not executor settlement.
+                    # There is no supported recovery handle for that case.
+                    await self.unconfirmed_exit.wait()
+
+    def start(self, producers):
+        if self.task is None:
+            self.task = asyncio.create_task(self._close(producers), name="evo-v3-stop")
+        return self.task
+
+    async def _close(self, producers):
+        if self.unsupported:
+            await self.unconfirmed_exit.wait()
+        stream = self.stream
+        if stream is None:
+            return
+        # Freeze pumping before cancellation can discard the dependency's pull.
+        async with stream._pump_cond:
+            stream._exhausted = True
+            stream._aborting = True
+            pulls = set(self.pulls)
+            if stream._anext_task is not None:
+                pulls.add(stream._anext_task)
+            stream._pump_cond.notify_all()
+        for task in pulls:
+            if not task.done():
+                task.cancel()
+        results = await asyncio.gather(*pulls, return_exceptions=True)
+        for result in results:
+            if isinstance(result, BaseException):
+                self._record(result)
+        await self._settle_exits()
+        await self._retry_close(self.graph.aclose)
+        await self._settle_exits()
+        await self._retry_close(stream._mux.aclose)
+        for task in producers:
+            if not task.done():
+                task.cancel()
+        await asyncio.gather(*producers, return_exceptions=True)
+
+
+async def sqlite_barrier(saver):
+    from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
+    import aiosqlite
+    if (type(saver) is not AsyncSqliteSaver or type(saver.conn) is not aiosqlite.Connection
+            or version("langgraph-checkpoint-sqlite") != "3.0.3"
+            or version("aiosqlite") != "0.22.1"):
+        raise RuntimeError("CHECKPOINT_STOP_ADAPTER_UNSUPPORTED")
+    async with saver.lock:
+        # Worker executes even cancelled queued futures. Await a later commit
+        # after graph/executor/repair writers settle, covering those operations.
+        await saver.conn.commit()

EvoScientist/stream/v3_payloads.py

@@ -82,3 +82,24 @@ def _reasoning_from_content(content: object) -> str:
             if isinstance(reasoning, str):
                 parts.append(reasoning)
     return "".join(parts)
+
+
+def _reasoning_summary_from_content(content: object) -> str:
+    if not isinstance(content, list):
+        return ""
+    parts: list[str] = []
+    for block in content:
+        block_map = _as_raw_map(block)
+        if block_map is None or block_map.get("type") != "reasoning":
+            continue
+        summary = block_map.get("summary")
+        if not isinstance(summary, list):
+            continue
+        for part in summary:
+            part_map = _as_raw_map(part)
+            if part_map is None or part_map.get("type") != "summary_text":
+                continue
+            text = part_map.get("text")
+            if isinstance(text, str):
+                parts.append(text)
+    return "".join(parts)

EvoScientist/web_checkpointer.py

@@ -0,0 +1,256 @@
+"""Web-only PostgreSQL saver. CLI sessions remain in sessions.py.
+
+The saver also owns PostgreSQL turn fencing for Web-hosted agents. There is no
+SQLite fallback. Schema setup is performed only by the reviewed Gateway and
+LangGraph migration paths.
+"""
+from __future__ import annotations
+
+import asyncio
+import hashlib
+import os
+from contextlib import asynccontextmanager
+from dataclasses import dataclass
+
+
+def _web_saver_type():
+    from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
+
+    class WebPostgresSaver(AsyncPostgresSaver):
+        def __init__(self, *args, **kwargs):
+            super().__init__(*args, **kwargs)
+            self._turn_fence_lock = asyncio.Lock()
+
+        @dataclass(frozen=True, slots=True)
+        class TurnLease:
+            thread_id: str
+            owner_id: str
+            fencing_token: int
+            expires_at_ms: int
+            checkpoint_snapshot_id: str
+
+        @asynccontextmanager
+        async def _turn_lock(self, thread_id):
+            lock_key = str(thread_id or "")
+            async with self._turn_fence_lock:
+                async with self._cursor() as cursor:
+                    await cursor.execute(
+                        "SELECT pg_advisory_lock(hashtextextended(%s, 90421066))",
+                        (lock_key,),
+                    )
+                try:
+                    yield
+                finally:
+                    async with self._cursor() as cursor:
+                        await cursor.execute(
+                            "SELECT pg_advisory_unlock(hashtextextended(%s, 90421066))",
+                            (lock_key,),
+                        )
+
+        async def acquire_turn_lease(self, thread_id, owner_id, *, ttl_seconds):
+            clean_thread = str(thread_id or "").strip()
+            clean_owner = str(owner_id or "").strip()
+            if not clean_thread or not clean_owner or ttl_seconds < 1:
+                raise ValueError("thread, owner and positive TTL are required")
+            async with self._turn_lock(clean_thread):
+                async with self._cursor(pipeline=True) as cursor:
+                    await cursor.execute(
+                        """INSERT INTO evomemory_checkpoint_turn_fences
+                           (thread_id,generation,owner_id,expires_at,updated_at)
+                           VALUES (%s,1,%s,NOW()+(%s*INTERVAL '1 second'),NOW())
+                           ON CONFLICT(thread_id) DO UPDATE SET
+                             generation=evomemory_checkpoint_turn_fences.generation+1,
+                             owner_id=EXCLUDED.owner_id,
+                             expires_at=EXCLUDED.expires_at,
+                             updated_at=NOW()
+                           WHERE evomemory_checkpoint_turn_fences.owner_id IS NULL
+                              OR evomemory_checkpoint_turn_fences.owner_id=EXCLUDED.owner_id
+                              OR evomemory_checkpoint_turn_fences.expires_at<NOW()
+                           RETURNING generation,
+                             EXTRACT(EPOCH FROM expires_at)*1000 AS expires_at_ms""",
+                        (clean_thread, clean_owner, ttl_seconds),
+                    )
+                    row = await cursor.fetchone()
+                    if row is None:
+                        raise RuntimeError("TURN_LEASE_BUSY")
+                    await cursor.execute(
+                        """INSERT INTO evomemory_checkpoint_versions
+                           (thread_id,sequence,checkpoint_id)
+                           VALUES (%s,0,NULL) ON CONFLICT(thread_id) DO NOTHING""",
+                        (clean_thread,),
+                    )
+                    await cursor.execute(
+                        """SELECT sequence,checkpoint_id
+                           FROM evomemory_checkpoint_versions WHERE thread_id=%s""",
+                        (clean_thread,),
+                    )
+                    version = await cursor.fetchone()
+            sequence = int(version["sequence"] if version else 0)
+            checkpoint_id = str((version or {}).get("checkpoint_id") or "root")
+            snapshot = hashlib.sha256(
+                f"{clean_thread}\0{sequence}\0{checkpoint_id}".encode()
+            ).hexdigest()
+            return self.TurnLease(
+                clean_thread,
+                clean_owner,
+                int(row["generation"]),
+                int(row["expires_at_ms"]),
+                f"sha256:{snapshot}",
+            )
+
+        async def renew_turn_lease(self, lease, *, ttl_seconds):
+            async with self._turn_lock(lease.thread_id):
+                async with self._cursor(pipeline=True) as cursor:
+                    await cursor.execute(
+                        """UPDATE evomemory_checkpoint_turn_fences
+                           SET expires_at=NOW()+(%s*INTERVAL '1 second'),updated_at=NOW()
+                           WHERE thread_id=%s AND generation=%s AND owner_id=%s
+                             AND expires_at>=NOW()
+                           RETURNING EXTRACT(EPOCH FROM expires_at)*1000 AS expires_at_ms""",
+                        (
+                            ttl_seconds,
+                            lease.thread_id,
+                            lease.fencing_token,
+                            lease.owner_id,
+                        ),
+                    )
+                    row = await cursor.fetchone()
+            if row is None:
+                raise RuntimeError("TURN_LEASE_LOST")
+            return self.TurnLease(
+                lease.thread_id,
+                lease.owner_id,
+                lease.fencing_token,
+                int(row["expires_at_ms"]),
+                lease.checkpoint_snapshot_id,
+            )
+
+        async def release_turn_lease(self, lease):
+            async with self._turn_lock(lease.thread_id):
+                async with self._cursor(pipeline=True) as cursor:
+                    await cursor.execute(
+                        """UPDATE evomemory_checkpoint_turn_fences
+                           SET owner_id=NULL,expires_at=NULL,updated_at=NOW()
+                           WHERE thread_id=%s AND generation=%s AND owner_id=%s
+                           RETURNING 1""",
+                        (lease.thread_id, lease.fencing_token, lease.owner_id),
+                    )
+                    return await cursor.fetchone() is not None
+
+        async def _require_write_lease(self, config):
+            configurable = dict(config.get("configurable") or {})
+            thread_id = str(configurable.get("thread_id") or "")
+            if not thread_id.startswith("web:"):
+                return thread_id, 0
+            owner_id = str(configurable.get("turn_lease_owner") or "")
+            token = int(configurable.get("turn_fencing_token") or 0)
+            async with self._cursor() as cursor:
+                await cursor.execute(
+                    """SELECT 1 FROM evomemory_checkpoint_turn_fences
+                       WHERE thread_id=%s AND generation=%s AND owner_id=%s
+                         AND expires_at>=NOW()""",
+                    (thread_id, token, owner_id),
+                )
+                if await cursor.fetchone() is None:
+                    raise RuntimeError("TURN_FENCED")
+            return thread_id, token
+
+        async def aput(self, config, checkpoint, metadata, new_versions):
+            thread_id = str(config.get("configurable", {}).get("thread_id") or "")
+            async with self._turn_lock(thread_id):
+                thread_id, token = await self._require_write_lease(config)
+                result = await super().aput(config, checkpoint, metadata, new_versions)
+                if token:
+                    checkpoint_id = str(
+                        result.get("configurable", {}).get("checkpoint_id") or ""
+                    )
+                    async with self._cursor(pipeline=True) as cursor:
+                        await cursor.execute(
+                            """INSERT INTO evomemory_checkpoint_versions
+                               (thread_id,sequence,checkpoint_id,updated_at)
+                               VALUES (%s,1,%s,NOW())
+                               ON CONFLICT(thread_id) DO UPDATE SET
+                                 sequence=evomemory_checkpoint_versions.sequence+1,
+                                 checkpoint_id=EXCLUDED.checkpoint_id,
+                                 updated_at=NOW()""",
+                            (thread_id, checkpoint_id),
+                        )
+                return result
+
+        async def aput_writes(self, config, writes, task_id, task_path=""):
+            thread_id = str(config.get("configurable", {}).get("thread_id") or "")
+            async with self._turn_lock(thread_id):
+                await self._require_write_lease(config)
+                await super().aput_writes(config, writes, task_id, task_path)
+
+        async def adelete_for_runs(self, run_ids):
+            values = tuple(dict.fromkeys(str(run_id) for run_id in run_ids))
+            if not values:
+                return
+            async with self._cursor(pipeline=True) as cursor:
+                await cursor.execute(
+                    """DELETE FROM checkpoint_writes w USING checkpoints c
+                       WHERE w.thread_id=c.thread_id
+                         AND w.checkpoint_ns=c.checkpoint_ns
+                         AND w.checkpoint_id=c.checkpoint_id
+                         AND c.metadata->>'run_id'=ANY(%s)""",
+                    (list(values),),
+                )
+                await cursor.execute(
+                    "DELETE FROM checkpoints WHERE metadata->>'run_id'=ANY(%s)",
+                    (list(values),),
+                )
+
+    return WebPostgresSaver
+
+
+@asynccontextmanager
+async def create_web_checkpointer():
+    from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
+    from psycopg import AsyncConnection
+    from psycopg.rows import dict_row
+
+    dsn = os.environ.get("EVOSCIENTIST_WEB_CHECKPOINT_DSN", "")
+    if not dsn.startswith(("postgresql://", "postgres://")):
+        raise RuntimeError("Web checkpointer requires an explicit PostgreSQL DSN")
+    serde = JsonPlusSerializer(
+        allowed_msgpack_modules=frozenset(
+            {
+                ("EvoScientist.llm.errors", "AgentControlError"),
+                ("EvoScientist.llm.errors", "ModelToolProtocolError"),
+                ("EvoScientist.llm.errors", "ProviderStreamError"),
+            }
+        )
+    )
+    try:
+        conn = await AsyncConnection.connect(
+            dsn,
+            autocommit=True,
+            prepare_threshold=0,
+            row_factory=dict_row,
+            connect_timeout=5,
+            options="-c search_path=public",
+        )
+    except Exception:
+        raise RuntimeError("Web checkpoint PostgreSQL connection failed") from None
+    async with conn:
+        saver = _web_saver_type()(conn, serde=serde)
+        try:
+            async with conn.cursor() as cursor:
+                await cursor.execute("SELECT v FROM checkpoint_migrations ORDER BY v")
+                versions = [row["v"] for row in await cursor.fetchall()]
+                if versions != list(range(len(saver.MIGRATIONS))):
+                    raise RuntimeError("migration version mismatch")
+                for table in (
+                    "checkpoints",
+                    "checkpoint_blobs",
+                    "checkpoint_writes",
+                    "evomemory_checkpoint_turn_fences",
+                    "evomemory_checkpoint_versions",
+                ):
+                    await cursor.execute(f"SELECT 1 FROM {table} LIMIT 0")
+        except Exception:
+            raise RuntimeError(
+                "Web checkpoint schema is not ready; run reviewed setup separately"
+            ) from None
+        yield saver

EvoScientist/web_runtime.py

@@ -142,15 +142,15 @@ class _ToolRegistryFenceMiddleware(AgentMiddleware):
 
 
 def create_web_agent(
-    *, snapshot: Any, host: WebHostContext, model_set: AgentModelSet
+    *, snapshot: Any, host: WebHostContext, model_set: AgentModelSet,
+    config: Any = None,
 ) -> Any:
     """Create a `web_v3` agent without importing Gateway types."""
 
     from .EvoScientist import create_cli_agent
     from .middleware.evo_route_fallback import EvoRouteFallbackMiddleware
 
-    config = copy.copy(load_config())
+    config = copy.copy(config if config is not None else load_config())
-    config.auto_approve = True
     config.auto_mode = True
     config.enable_ask_user = False
     config.enable_async_subagents = False

start-langgraph.sh

@@ -3,15 +3,17 @@
 set -euo pipefail
 
 PROJECT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
-LANGGRAPH_CONFIG="${PROJECT_DIR}/EvoScientist/langgraph_dev/langgraph.json"
+LANGGRAPH_CONFIG="${PROJECT_DIR}/EvoScientist/langgraph_dev/langgraph.web.json"
 HOST="${EVOSCIENTIST_LANGGRAPH_HOST:-127.0.0.1}"
 PORT="${EVOSCIENTIST_LANGGRAPH_DEV_PORT:-3076}"
 WEB_ENV="${PROJECT_DIR}/../Ai4Sci-Web/.env"
+WEB_PROJECT="${PROJECT_DIR}/../Ai4Sci-Web"
 N_JOBS="${EVOSCIENTIST_LANGGRAPH_JOBS_PER_WORKER:-6}"
 
-if [[ ! -x "${PROJECT_DIR}/.venv/bin/langgraph" ]]; then
+WEB_VENV="${PROJECT_DIR}/../Ai4Sci-Web/.venv"
-    echo "LangGraph executable not found: ${PROJECT_DIR}/.venv/bin/langgraph" >&2
+if [[ ! -x "${WEB_VENV}/bin/langgraph" ]]; then
-    echo "Run 'uv sync' in ${PROJECT_DIR} first." >&2
+    echo "Web LangGraph executable not found: ${WEB_VENV}/bin/langgraph" >&2
+    echo "Run 'uv sync --group host-runtime' in Ai4Sci-Web first." >&2
     exit 1
 fi
 
@@ -40,8 +42,8 @@ fi
 # The Web Gateway always supplies a verified conversation workspace scope.
 export EVOSCIENTIST_DEPLOY_MODE="${EVOSCIENTIST_DEPLOY_MODE:-full}"
 export EVOSCIENTIST_WORKSPACE_DIR="${EVOSCIENTIST_WORKSPACE_DIR:-${PROJECT_DIR}/../.ai4sci/workspace}"
-
+exec uv run --project "${WEB_PROJECT}" --group host-runtime \
-exec uv run --env-file "${WEB_ENV}" langgraph dev \
+    --env-file "${WEB_ENV}" langgraph dev \
     --config "${LANGGRAPH_CONFIG}" \
     --host "${HOST}" \
     --port "${PORT}" \