diff --git a/gateway/platforms/api_server.py b/gateway/platforms/api_server.py
index a6b52ff32..37b7121a5 100644
--- a/gateway/platforms/api_server.py
+++ b/gateway/platforms/api_server.py
@@ -1204,10 +1204,12 @@ class APIServerAdapter(BasePlatformAdapter):
 
         If the client disconnects mid-stream, ``agent.interrupt()`` is
         called so the agent stops issuing upstream LLM calls, then the
-        asyncio task is cancelled.  When ``store=True`` the full response
-        is persisted to the ResponseStore in a ``finally`` block so GET
-        /v1/responses/{id} and ``previous_response_id`` chaining work the
-        same as the batch path.
+        asyncio task is cancelled.  When ``store=True`` an initial
+        ``in_progress`` snapshot is persisted immediately after
+        ``response.created`` and disconnects update it to an
+        ``incomplete`` snapshot so GET /v1/responses/{id} and
+        ``previous_response_id`` chaining still have something to
+        recover from.
         """
         import queue as _q
 
@@ -1269,6 +1271,26 @@ class APIServerAdapter(BasePlatformAdapter):
         final_response_text = ""
         agent_error: Optional[str] = None
         usage: Dict[str, int] = {"input_tokens": 0, "output_tokens": 0, "total_tokens": 0}
+        terminal_snapshot_persisted = False
+
+        def _persist_response_snapshot(
+            response_env: Dict[str, Any],
+            *,
+            conversation_history_snapshot: Optional[List[Dict[str, Any]]] = None,
+        ) -> None:
+            if not store:
+                return
+            if conversation_history_snapshot is None:
+                conversation_history_snapshot = list(conversation_history)
+                conversation_history_snapshot.append({"role": "user", "content": user_message})
+            self._response_store.put(response_id, {
+                "response": response_env,
+                "conversation_history": conversation_history_snapshot,
+                "instructions": instructions,
+                "session_id": session_id,
+            })
+            if conversation:
+                self._response_store.set_conversation(conversation, response_id)
 
         try:
             # response.created — initial envelope, status=in_progress
@@ -1278,6 +1300,7 @@ class APIServerAdapter(BasePlatformAdapter):
                 "type": "response.created",
                 "response": created_env,
             })
+            _persist_response_snapshot(created_env)
             last_activity = time.monotonic()
 
             async def _open_message_item() -> None:
@@ -1534,6 +1557,18 @@ class APIServerAdapter(BasePlatformAdapter):
                     "output_tokens": usage.get("output_tokens", 0),
                     "total_tokens": usage.get("total_tokens", 0),
                 }
+                _failed_history = list(conversation_history)
+                _failed_history.append({"role": "user", "content": user_message})
+                if final_response_text or agent_error:
+                    _failed_history.append({
+                        "role": "assistant",
+                        "content": final_response_text or agent_error,
+                    })
+                _persist_response_snapshot(
+                    failed_env,
+                    conversation_history_snapshot=_failed_history,
+                )
+                terminal_snapshot_persisted = True
                 await _write_event("response.failed", {
                     "type": "response.failed",
                     "response": failed_env,
@@ -1546,30 +1581,47 @@ class APIServerAdapter(BasePlatformAdapter):
                     "output_tokens": usage.get("output_tokens", 0),
                     "total_tokens": usage.get("total_tokens", 0),
                 }
+                full_history = list(conversation_history)
+                full_history.append({"role": "user", "content": user_message})
+                if isinstance(result, dict) and result.get("messages"):
+                    full_history.extend(result["messages"])
+                else:
+                    full_history.append({"role": "assistant", "content": final_response_text})
+                _persist_response_snapshot(
+                    completed_env,
+                    conversation_history_snapshot=full_history,
+                )
+                terminal_snapshot_persisted = True
                 await _write_event("response.completed", {
                     "type": "response.completed",
                     "response": completed_env,
                 })
 
-                # Persist for future chaining / GET retrieval, mirroring
-                # the batch path behavior.
-                if store:
-                    full_history = list(conversation_history)
-                    full_history.append({"role": "user", "content": user_message})
-                    if isinstance(result, dict) and result.get("messages"):
-                        full_history.extend(result["messages"])
-                    else:
-                        full_history.append({"role": "assistant", "content": final_response_text})
-                    self._response_store.put(response_id, {
-                        "response": completed_env,
-                        "conversation_history": full_history,
-                        "instructions": instructions,
-                        "session_id": session_id,
-                    })
-                    if conversation:
-                        self._response_store.set_conversation(conversation, response_id)
-
         except (ConnectionResetError, ConnectionAbortedError, BrokenPipeError, OSError):
+            if store and not terminal_snapshot_persisted:
+                incomplete_text = "".join(final_text_parts) or final_response_text
+                incomplete_items: List[Dict[str, Any]] = list(emitted_items)
+                if incomplete_text:
+                    incomplete_items.append({
+                        "type": "message",
+                        "role": "assistant",
+                        "content": [{"type": "output_text", "text": incomplete_text}],
+                    })
+                incomplete_env = _envelope("incomplete")
+                incomplete_env["output"] = incomplete_items
+                incomplete_env["usage"] = {
+                    "input_tokens": usage.get("input_tokens", 0),
+                    "output_tokens": usage.get("output_tokens", 0),
+                    "total_tokens": usage.get("total_tokens", 0),
+                }
+                incomplete_history = list(conversation_history)
+                incomplete_history.append({"role": "user", "content": user_message})
+                if incomplete_text:
+                    incomplete_history.append({"role": "assistant", "content": incomplete_text})
+                _persist_response_snapshot(
+                    incomplete_env,
+                    conversation_history_snapshot=incomplete_history,
+                )
             # Client disconnected — interrupt the agent so it stops
             # making upstream LLM calls, then cancel the task.
             agent = agent_ref[0] if agent_ref else None