fix: resolve HITL interrupt persistence in shallow savers (#133)

langgraph/checkpoint/redis/aio.py

@@ -1063,7 +1063,7 @@ async def aput(
 
                     if self.cluster_mode:
                         # For cluster mode, execute operation directly
-                        await self._redis.json().set(  # type: ignore[misc]
+                        await self._redis.json().set(
                             checkpoint_key, "$", checkpoint_data
                         )
                     else:
@@ -1146,7 +1146,7 @@ async def aput_writes(
                     )
 
                     # Redis JSON.SET is an UPSERT by default
-                    await self._redis.json().set(key, "$", cast(Any, write_obj))  # type: ignore[misc]
+                    await self._redis.json().set(key, "$", cast(Any, write_obj))
                     created_keys.append(key)
 
                 # Apply TTL to newly created keys
@@ -1181,7 +1181,7 @@ async def aput_writes(
 
                         # Add all write keys with their index as score for ordering
                         zadd_mapping = {key: idx for idx, key in enumerate(write_keys)}
-                        await self._redis.zadd(zset_key, zadd_mapping)
+                        await self._redis.zadd(zset_key, zadd_mapping)  # type: ignore[arg-type]
 
                         # Apply TTL to registry key if configured
                         if self.ttl_config and "default_ttl" in self.ttl_config:
@@ -1243,7 +1243,7 @@ async def aput_writes(
 
                     # Add all write keys with their index as score for ordering
                     zadd_mapping = {key: idx for idx, key in enumerate(write_keys)}
-                    pipeline.zadd(zset_key, zadd_mapping)
+                    pipeline.zadd(zset_key, zadd_mapping)  # type: ignore[arg-type]
 
                     # Apply TTL to registry key if configured
                     if self.ttl_config and "default_ttl" in self.ttl_config:
@@ -1291,7 +1291,7 @@ async def aput_writes(
                                 zadd_mapping = {
                                     key: idx for idx, key in enumerate(write_keys)
                                 }
-                                fallback_pipeline.zadd(zset_key, zadd_mapping)
+                                fallback_pipeline.zadd(zset_key, zadd_mapping)  # type: ignore[arg-type]
                                 if self.ttl_config and "default_ttl" in self.ttl_config:
                                     ttl_seconds = int(
                                         self.ttl_config.get("default_ttl") * 60
@@ -1304,14 +1304,16 @@ async def aput_writes(
                             # Update has_writes flag separately for older Redis
                             if checkpoint_key:
                                 try:
-                                    checkpoint_data = await self._redis.json().get(checkpoint_key)  # type: ignore[misc]
+                                    checkpoint_data = await self._redis.json().get(
+                                        checkpoint_key
+                                    )
                                     if isinstance(
                                         checkpoint_data, dict
                                     ) and not checkpoint_data.get("has_writes"):
                                         checkpoint_data["has_writes"] = True
                                         await self._redis.json().set(
                                             checkpoint_key, "$", checkpoint_data
-                                        )  # type: ignore[misc]
+                                        )
                                 except Exception:
                                     # If this fails, it's not critical - the writes are still saved
                                     pass
@@ -1477,7 +1479,7 @@ async def aget_channel_values(
         )
 
         # Single JSON.GET operation to retrieve checkpoint with inline channel_values
-        checkpoint_data = await self._redis.json().get(checkpoint_key, "$.checkpoint")  # type: ignore[misc]
+        checkpoint_data = await self._redis.json().get(checkpoint_key, "$.checkpoint")
 
         if not checkpoint_data:
             return {}

langgraph/checkpoint/redis/ashallow.py

@@ -94,7 +94,7 @@ async def __aexit__(
         _tb: Optional[TracebackType],
     ) -> None:
         if self._owns_its_client:
-            await self._redis.aclose()
+            await self._redis.aclose()  # type: ignore[attr-defined]
             # RedisCluster doesn't have connection_pool attribute
             if getattr(self._redis, "connection_pool", None):
                 coro = self._redis.connection_pool.disconnect()
@@ -229,9 +229,6 @@ async def aput(
             # Create pipeline for all operations
             pipeline = self._redis.pipeline(transaction=False)
 
-            # Get the previous checkpoint ID to potentially clean up its writes
-            pipeline.json().get(checkpoint_key)
-
             # Set the new checkpoint data
             pipeline.json().set(checkpoint_key, "$", checkpoint_data)
 
@@ -240,41 +237,21 @@ async def aput(
                 ttl_seconds = int(self.ttl_config.get("default_ttl") * 60)
                 pipeline.expire(checkpoint_key, ttl_seconds)
 
-            # Execute pipeline to get prev data and set new data
-            results = await pipeline.execute()
-            prev_checkpoint_data = results[0]
-
-            # Check if we need to clean up old writes
-            prev_checkpoint_id = None
-            if prev_checkpoint_data and isinstance(prev_checkpoint_data, dict):
-                prev_checkpoint_id = prev_checkpoint_data.get("checkpoint_id")
-
-            # If checkpoint changed, clean up old writes in a second pipeline
-            if prev_checkpoint_id and prev_checkpoint_id != checkpoint["id"]:
-                thread_zset_key = f"write_keys_zset:{thread_id}:{checkpoint_ns}:shallow"
-
-                # Create cleanup pipeline
-                cleanup_pipeline = self._redis.pipeline(transaction=False)
-
-                # Get all existing write keys
-                cleanup_pipeline.zrange(thread_zset_key, 0, -1)
-
-                # Delete the registry
-                cleanup_pipeline.delete(thread_zset_key)
-
-                # Execute to get keys and delete registry
-                cleanup_results = await cleanup_pipeline.execute()
-                existing_write_keys = cleanup_results[0]
+            # Execute pipeline to set new checkpoint data
+            await pipeline.execute()
 
-                # If there are keys to delete, do it in another pipeline
-                if existing_write_keys:
-                    delete_pipeline = self._redis.pipeline(transaction=False)
-                    for old_key in existing_write_keys:
-                        old_key_str = (
-                            old_key.decode() if isinstance(old_key, bytes) else old_key
-                        )
-                        delete_pipeline.delete(old_key_str)
-                    await delete_pipeline.execute()
+            # NOTE: We intentionally do NOT clean up old writes here.
+            # In the HITL (Human-in-the-Loop) flow, interrupt writes are saved via
+            # put_writes BEFORE the new checkpoint is saved. If we clean up writes
+            # when the checkpoint changes, we would delete the interrupt writes
+            # before they can be consumed when resuming.
+            #
+            # Writes are cleaned up in the following scenarios:
+            # 1. When delete_thread is called
+            # 2. When TTL expires (if configured)
+            # 3. When put_writes is called again for the same task/idx (overwrites)
+            #
+            # See Issue #133 for details on this bug fix.
 
             return next_config
 
@@ -388,7 +365,7 @@ async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
         )
 
         # Single fetch gets everything inline - matching sync implementation
-        full_checkpoint_data = await self._redis.json().get(checkpoint_key)  # type: ignore[misc]
+        full_checkpoint_data = await self._redis.json().get(checkpoint_key)
         if not full_checkpoint_data or not isinstance(full_checkpoint_data, dict):
             return None
 
@@ -505,7 +482,11 @@ async def aput_writes(
                 writes_objects.append(write_obj)
 
             # Thread-level sorted set for write keys
-            thread_zset_key = f"write_keys_zset:{thread_id}:{checkpoint_ns}:shallow"
+            # Use to_storage_safe_str for consistent key naming
+            safe_checkpoint_ns = to_storage_safe_str(checkpoint_ns)
+            thread_zset_key = (
+                f"write_keys_zset:{thread_id}:{safe_checkpoint_ns}:shallow"
+            )
 
             # Collect all write keys
             write_keys = []
@@ -529,7 +510,7 @@ async def aput_writes(
 
             # Use thread-level sorted set
             zadd_mapping = {key: idx for idx, key in enumerate(write_keys)}
-            pipeline.zadd(thread_zset_key, zadd_mapping)
+            pipeline.zadd(thread_zset_key, zadd_mapping)  # type: ignore[arg-type]
 
             # Apply TTL to registry key if configured
             if self.ttl_config and "default_ttl" in self.ttl_config:
@@ -563,7 +544,7 @@ async def aget_channel_values(
         )
 
         # Single JSON.GET operation to retrieve checkpoint with inline channel_values
-        checkpoint_data = await self._redis.json().get(checkpoint_key, "$.checkpoint")  # type: ignore[misc]
+        checkpoint_data = await self._redis.json().get(checkpoint_key, "$.checkpoint")
 
         if not checkpoint_data:
             return {}
@@ -631,7 +612,9 @@ async def _aload_pending_writes(
             return []
 
         # Use thread-level sorted set
-        thread_zset_key = f"write_keys_zset:{thread_id}:{checkpoint_ns}:shallow"
+        # Use to_storage_safe_str for consistent key naming
+        safe_checkpoint_ns = to_storage_safe_str(checkpoint_ns)
+        thread_zset_key = f"write_keys_zset:{thread_id}:{safe_checkpoint_ns}:shallow"
 
         try:
             # Check if we have any writes in the thread sorted set

langgraph/checkpoint/redis/base.py

@@ -563,7 +563,7 @@ def _load_writes_from_redis(self, write_key: str) -> List[Tuple[str, str, Any]]:
             return []
 
         writes = []
-        for write in result["writes"]:  # type: ignore[call-overload]
+        for write in result["writes"]:
             writes.append(
                 (
                     write["task_id"],
@@ -636,17 +636,17 @@ def put_writes(
                     # UPSERT case - only update specific fields
                     if key_exists:
                         # Update only channel, type, and blob fields
-                        pipeline.set(key, "$.channel", write_obj["channel"])
-                        pipeline.set(key, "$.type", write_obj["type"])
-                        pipeline.set(key, "$.blob", write_obj["blob"])
+                        pipeline.json().set(key, "$.channel", write_obj["channel"])
+                        pipeline.json().set(key, "$.type", write_obj["type"])
+                        pipeline.json().set(key, "$.blob", write_obj["blob"])
                     else:
                         # For new records, set the complete object
-                        pipeline.set(key, "$", write_obj)
+                        pipeline.json().set(key, "$", write_obj)
                         created_keys.append(key)
                 else:
                     # INSERT case - only insert if doesn't exist
                     if not key_exists:
-                        pipeline.set(key, "$", write_obj)
+                        pipeline.json().set(key, "$", write_obj)
                         created_keys.append(key)
 
             pipeline.execute()

langgraph/checkpoint/redis/key_registry.py

@@ -105,7 +105,7 @@ def register_write_keys_batch(
         )
         # Use index as score to maintain order
         mapping = {key: idx for idx, key in enumerate(write_keys)}
-        self._redis.zadd(zset_key, mapping)
+        self._redis.zadd(zset_key, mapping)  # type: ignore[arg-type]
 
     def get_write_keys(
         self, thread_id: str, checkpoint_ns: str, checkpoint_id: str
@@ -215,7 +215,7 @@ async def register_write_keys_batch(
             thread_id, checkpoint_ns, checkpoint_id
         )
         mapping = {key: idx for idx, key in enumerate(write_keys)}
-        await self._redis.zadd(zset_key, mapping)
+        await self._redis.zadd(zset_key, mapping)  # type: ignore[arg-type]
 
     async def get_write_keys(
         self, thread_id: str, checkpoint_ns: str, checkpoint_id: str

langgraph/checkpoint/redis/shallow.py

@@ -200,42 +200,29 @@ def put(
             thread_id, checkpoint_ns
         )
 
-        # Get the previous checkpoint ID to clean up its writes
-        prev_checkpoint_data = self._redis.json().get(checkpoint_key)
-        prev_checkpoint_id = None
-        if prev_checkpoint_data and isinstance(prev_checkpoint_data, dict):
-            prev_checkpoint_id = prev_checkpoint_data.get("checkpoint_id")
-
         with self._redis.pipeline(transaction=False) as pipeline:
             pipeline.json().set(checkpoint_key, "$", checkpoint_data)
 
-            # If checkpoint changed, clean up old writes
-            if prev_checkpoint_id and prev_checkpoint_id != checkpoint["id"]:
-                # Clean up writes from the previous checkpoint
-                thread_write_registry_key = (
-                    f"write_registry:{thread_id}:{checkpoint_ns}:shallow"
-                )
-
-                # Get all existing write keys and delete them
-                existing_write_keys = self._redis.zrange(
-                    thread_write_registry_key, 0, -1
-                )
-                for old_key in existing_write_keys:
-                    old_key_str = (
-                        old_key.decode() if isinstance(old_key, bytes) else old_key
-                    )
-                    pipeline.delete(old_key_str)
-
-                # Clear the registry
-                pipeline.delete(thread_write_registry_key)
-
             # Apply TTL if configured
             if self.ttl_config and "default_ttl" in self.ttl_config:
                 ttl_seconds = int(self.ttl_config.get("default_ttl") * 60)
                 pipeline.expire(checkpoint_key, ttl_seconds)
 
             pipeline.execute()
 
+        # NOTE: We intentionally do NOT clean up old writes here.
+        # In the HITL (Human-in-the-Loop) flow, interrupt writes are saved via
+        # put_writes BEFORE the new checkpoint is saved. If we clean up writes
+        # when the checkpoint changes, we would delete the interrupt writes
+        # before they can be consumed when resuming.
+        #
+        # Writes are cleaned up in the following scenarios:
+        # 1. When delete_thread is called
+        # 2. When TTL expires (if configured)
+        # 3. When put_writes is called again for the same task/idx (overwrites)
+        #
+        # See Issue #133 for details on this bug fix.
+
         return next_config
 
     def list(
@@ -501,8 +488,10 @@ def put_writes(
             writes_objects.append(write_obj)
 
         # THREAD-LEVEL REGISTRY: Only keep writes for the current checkpoint
+        # Use to_storage_safe_str for consistent key naming with delete_thread
+        safe_checkpoint_ns = to_storage_safe_str(checkpoint_ns)
         thread_write_registry_key = (
-            f"write_registry:{thread_id}:{checkpoint_ns}:shallow"
+            f"write_registry:{thread_id}:{safe_checkpoint_ns}:shallow"
         )
 
         # Collect all write keys
@@ -525,7 +514,7 @@ def put_writes(
             # THREAD-LEVEL REGISTRY: Store write keys in thread-level sorted set
             # These will be cleared when checkpoint changes
             zadd_mapping = {key: idx for idx, key in enumerate(write_keys)}
-            pipeline.zadd(thread_write_registry_key, zadd_mapping)
+            pipeline.zadd(thread_write_registry_key, zadd_mapping)  # type: ignore[arg-type]
 
             # Note: We don't update has_writes on the checkpoint anymore
             # because put_writes can be called before the checkpoint exists
@@ -550,8 +539,10 @@ def _load_pending_writes(
 
         # Use thread-level registry that only contains current checkpoint writes
         # All writes belong to the current checkpoint
+        # Use to_storage_safe_str for consistent key naming with delete_thread
+        safe_checkpoint_ns = to_storage_safe_str(checkpoint_ns)
         thread_write_registry_key = (
-            f"write_registry:{thread_id}:{checkpoint_ns}:shallow"
+            f"write_registry:{thread_id}:{safe_checkpoint_ns}:shallow"
         )
 
         # Get all write keys from the thread's registry (already sorted by index)

langgraph/store/redis/__init__.py

@@ -541,7 +541,7 @@ def _batch_search_ops(
                         if not isinstance(store_doc, dict):
                             try:
                                 store_doc = json.loads(
-                                    store_doc  # type: ignore[arg-type]
+                                    store_doc
                                 )  # Attempt to parse if it's a JSON string
                             except (json.JSONDecodeError, TypeError):
                                 logger.error(f"Failed to parse store_doc: {store_doc}")

langgraph/store/redis/aio.py

@@ -376,7 +376,7 @@ async def __aexit__(
 
         # Close Redis connections if we own them
         if self._owns_its_client:
-            await self._redis.aclose()
+            await self._redis.aclose()  # type: ignore[attr-defined]
             await self._redis.connection_pool.disconnect()
 
     async def abatch(self, ops: Iterable[Op]) -> list[Result]:
@@ -781,7 +781,7 @@ async def _batch_search_ops(
                             )
                             result_map[store_key] = doc
                             # Fetch individually in cluster mode
-                            store_doc_item = await self._redis.json().get(store_key)  # type: ignore
+                            store_doc_item = await self._redis.json().get(store_key)
                             store_docs.append(store_doc_item)
                     store_docs_raw = store_docs
                 else: