feat(redis): add TTL support for Redis checkpoint storage (#27)

README.md

@@ -148,6 +148,25 @@ with ShallowRedisSaver.from_conn_string("redis://localhost:6379") as checkpointe
     # ... rest of the implementation follows similar pattern
 ```
 
+## Redis Checkpoint TTL Support
+
+Both Redis checkpoint savers and stores support Time-To-Live (TTL) functionality for automatic key expiration:
+
+```python
+# Configure TTL for checkpoint savers
+ttl_config = {
+    "default_ttl": 60,     # Default TTL in minutes
+    "refresh_on_read": True,  # Refresh TTL when checkpoint is read
+}
+
+# Use with any checkpoint saver implementation
+with RedisSaver.from_conn_string("redis://localhost:6379", ttl=ttl_config) as checkpointer:
+    checkpointer.setup()
+    # Use the checkpointer...
+```
+
+This makes it easy to manage storage and ensure ephemeral data is automatically cleaned up.
+
 ## Redis Stores
 
 Redis Stores provide a persistent key-value store with optional vector search capabilities.
@@ -169,9 +188,19 @@ index_config = {
     "fields": ["text"],  # Fields to index
 }
 
-with RedisStore.from_conn_string("redis://localhost:6379", index=index_config) as store:
+# With TTL configuration
+ttl_config = {
+    "default_ttl": 60,     # Default TTL in minutes
+    "refresh_on_read": True,  # Refresh TTL when store entries are read
+}
+
+with RedisStore.from_conn_string(
+    "redis://localhost:6379", 
+    index=index_config,
+    ttl=ttl_config
+) as store:
     store.setup()
-    # Use the store with vector search capabilities...
+    # Use the store with vector search and TTL capabilities...
 ```
 
 ### Async Implementation
@@ -180,7 +209,16 @@ with RedisStore.from_conn_string("redis://localhost:6379", index=index_config) a
 from langgraph.store.redis.aio import AsyncRedisStore
 
 async def main():
-    async with AsyncRedisStore.from_conn_string("redis://localhost:6379") as store:
+    # TTL also works with async implementations
+    ttl_config = {
+        "default_ttl": 60,     # Default TTL in minutes
+        "refresh_on_read": True,  # Refresh TTL when store entries are read
+    }
+
+    async with AsyncRedisStore.from_conn_string(
+        "redis://localhost:6379", 
+        ttl=ttl_config
+    ) as store:
         await store.setup()
         # Use the store asynchronously...
 
@@ -235,6 +273,16 @@ For Redis Stores with vector search:
 1. **Store Index**: Main key-value store
 2. **Vector Index**: Optional vector embeddings for similarity search
 
+### TTL Implementation
+
+Both Redis checkpoint savers and stores leverage Redis's native key expiration:
+
+- **Native Redis TTL**: Uses Redis's built-in `EXPIRE` command
+- **Automatic Cleanup**: Redis automatically removes expired keys
+- **Configurable Default TTL**: Set a default TTL for all keys in minutes
+- **TTL Refresh on Read**: Optionally refresh TTL when keys are accessed
+- **Applied to All Related Keys**: TTL is applied to all related keys (checkpoint, blobs, writes)
+
 ## Contributing
 
 We welcome contributions! Here's how you can help:

langgraph/checkpoint/redis/__init__.py

@@ -253,15 +253,16 @@ def put(
             checkpoint_data["source"] = metadata["source"]
             checkpoint_data["step"] = metadata["step"]  # type: ignore
 
+        # Create the checkpoint key
+        checkpoint_key = BaseRedisSaver._make_redis_checkpoint_key(
+            storage_safe_thread_id,
+            storage_safe_checkpoint_ns,
+            storage_safe_checkpoint_id,
+        )
+
         self.checkpoints_index.load(
             [checkpoint_data],
-            keys=[
-                BaseRedisSaver._make_redis_checkpoint_key(
-                    storage_safe_thread_id,
-                    storage_safe_checkpoint_ns,
-                    storage_safe_checkpoint_id,
-                )
-            ],
+            keys=[checkpoint_key],
         )
 
         # Store blob values.
@@ -272,10 +273,16 @@ def put(
             new_versions,
         )
 
+        blob_keys = []
         if blobs:
             # Unzip the list of tuples into separate lists for keys and data
             keys, data = zip(*blobs)
-            self.checkpoint_blobs_index.load(list(data), keys=list(keys))
+            blob_keys = list(keys)
+            self.checkpoint_blobs_index.load(list(data), keys=blob_keys)
+
+        # Apply TTL to checkpoint and blob keys if configured
+        if self.ttl_config and "default_ttl" in self.ttl_config:
+            self._apply_ttl_to_keys(checkpoint_key, blob_keys)
 
         return next_config
 
@@ -332,6 +339,33 @@ def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
         doc_checkpoint_id = from_storage_safe_id(doc["checkpoint_id"])
         doc_parent_checkpoint_id = from_storage_safe_id(doc["parent_checkpoint_id"])
 
+        # If refresh_on_read is enabled, refresh TTL for checkpoint key and related keys
+        if self.ttl_config and self.ttl_config.get("refresh_on_read"):
+            # Get the checkpoint key
+            checkpoint_key = BaseRedisSaver._make_redis_checkpoint_key(
+                to_storage_safe_id(doc_thread_id),
+                to_storage_safe_str(doc_checkpoint_ns),
+                to_storage_safe_id(doc_checkpoint_id),
+            )
+
+            # Get all blob keys related to this checkpoint
+            from langgraph.checkpoint.redis.base import (
+                CHECKPOINT_BLOB_PREFIX,
+                CHECKPOINT_WRITE_PREFIX,
+            )
+
+            # Get the blob keys
+            blob_key_pattern = f"{CHECKPOINT_BLOB_PREFIX}:{to_storage_safe_id(doc_thread_id)}:{to_storage_safe_str(doc_checkpoint_ns)}:*"
+            blob_keys = [key.decode() for key in self._redis.keys(blob_key_pattern)]
+
+            # Also get checkpoint write keys that should have the same TTL
+            write_key_pattern = f"{CHECKPOINT_WRITE_PREFIX}:{to_storage_safe_id(doc_thread_id)}:{to_storage_safe_str(doc_checkpoint_ns)}:{to_storage_safe_id(doc_checkpoint_id)}:*"
+            write_keys = [key.decode() for key in self._redis.keys(write_key_pattern)]
+
+            # Apply TTL to checkpoint, blob keys, and write keys
+            all_related_keys = blob_keys + write_keys
+            self._apply_ttl_to_keys(checkpoint_key, all_related_keys)
+
         # Fetch channel_values
         channel_values = self.get_channel_values(
             thread_id=doc_thread_id,

langgraph/checkpoint/redis/aio.py

@@ -192,6 +192,45 @@ async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
         doc_checkpoint_id = from_storage_safe_id(doc["checkpoint_id"])
         doc_parent_checkpoint_id = from_storage_safe_id(doc["parent_checkpoint_id"])
 
+        # If refresh_on_read is enabled, refresh TTL for checkpoint key and related keys
+        if self.ttl_config and self.ttl_config.get("refresh_on_read"):
+            # Get the checkpoint key
+            checkpoint_key = BaseRedisSaver._make_redis_checkpoint_key(
+                to_storage_safe_id(doc_thread_id),
+                to_storage_safe_str(doc_checkpoint_ns),
+                to_storage_safe_id(doc_checkpoint_id),
+            )
+
+            # Get all blob keys related to this checkpoint
+            from langgraph.checkpoint.redis.base import (
+                CHECKPOINT_BLOB_PREFIX,
+                CHECKPOINT_WRITE_PREFIX,
+            )
+
+            # Get the blob keys
+            blob_key_pattern = f"{CHECKPOINT_BLOB_PREFIX}:{to_storage_safe_id(doc_thread_id)}:{to_storage_safe_str(doc_checkpoint_ns)}:*"
+            blob_keys = await self._redis.keys(blob_key_pattern)
+            blob_keys = [key.decode() for key in blob_keys]
+
+            # Also get checkpoint write keys that should have the same TTL
+            write_key_pattern = f"{CHECKPOINT_WRITE_PREFIX}:{to_storage_safe_id(doc_thread_id)}:{to_storage_safe_str(doc_checkpoint_ns)}:{to_storage_safe_id(doc_checkpoint_id)}:*"
+            write_keys = await self._redis.keys(write_key_pattern)
+            write_keys = [key.decode() for key in write_keys]
+
+            # Apply TTL to checkpoint, blob keys, and write keys
+            ttl_minutes = self.ttl_config.get("default_ttl")
+            if ttl_minutes is not None:
+                ttl_seconds = int(ttl_minutes * 60)
+                pipeline = self._redis.pipeline()
+                pipeline.expire(checkpoint_key, ttl_seconds)
+
+                # Combine blob keys and write keys for TTL refresh
+                all_related_keys = blob_keys + write_keys
+                for key in all_related_keys:
+                    pipeline.expire(key, ttl_seconds)
+
+                await pipeline.execute()
+
         # Fetch channel_values
         channel_values = await self.aget_channel_values(
             thread_id=doc_thread_id,
@@ -476,6 +515,22 @@ async def aput(
             # Execute all operations atomically
             await pipeline.execute()
 
+            # Apply TTL to checkpoint and blob keys if configured
+            if self.ttl_config and "default_ttl" in self.ttl_config:
+                all_keys = (
+                    [checkpoint_key] + [key for key, _ in blobs]
+                    if blobs
+                    else [checkpoint_key]
+                )
+                ttl_minutes = self.ttl_config.get("default_ttl")
+                ttl_seconds = int(ttl_minutes * 60)
+
+                # Use a new pipeline for TTL operations
+                ttl_pipeline = self._redis.pipeline()
+                for key in all_keys:
+                    ttl_pipeline.expire(key, ttl_seconds)
+                await ttl_pipeline.execute()
+
             return next_config
 
         except asyncio.CancelledError:
@@ -575,6 +630,7 @@ async def aput_writes(
 
             # Determine if this is an upsert case
             upsert_case = all(w[0] in WRITES_IDX_MAP for w in writes)
+            created_keys = []
 
             # Add all write operations to the pipeline
             for write_obj in writes_objects:
@@ -599,15 +655,28 @@ async def aput_writes(
                     else:
                         # Create new key
                         await pipeline.json().set(key, "$", write_obj)
+                        created_keys.append(key)
                 else:
                     # For non-upsert case, only set if key doesn't exist
                     exists = await self._redis.exists(key)
                     if not exists:
                         await pipeline.json().set(key, "$", write_obj)
+                        created_keys.append(key)
 
             # Execute all operations atomically
             await pipeline.execute()
 
+            # Apply TTL to newly created keys
+            if created_keys and self.ttl_config and "default_ttl" in self.ttl_config:
+                ttl_minutes = self.ttl_config.get("default_ttl")
+                ttl_seconds = int(ttl_minutes * 60)
+
+                # Use a new pipeline for TTL operations
+                ttl_pipeline = self._redis.pipeline()
+                for key in created_keys:
+                    ttl_pipeline.expire(key, ttl_seconds)
+                await ttl_pipeline.execute()
+
         except asyncio.CancelledError:
             # Handle cancellation/interruption
             # Pipeline will be automatically discarded

langgraph/checkpoint/redis/ashallow.py

@@ -108,11 +108,13 @@ def __init__(
         *,
         redis_client: Optional[AsyncRedis] = None,
         connection_args: Optional[dict[str, Any]] = None,
+        ttl: Optional[dict[str, Any]] = None,
     ) -> None:
         super().__init__(
             redis_url=redis_url,
             redis_client=redis_client,
             connection_args=connection_args,
+            ttl=ttl,
         )
         self.loop = asyncio.get_running_loop()
 
@@ -149,12 +151,14 @@ async def from_conn_string(
         *,
         redis_client: Optional[AsyncRedis] = None,
         connection_args: Optional[dict[str, Any]] = None,
+        ttl: Optional[dict[str, Any]] = None,
     ) -> AsyncIterator[AsyncShallowRedisSaver]:
         """Create a new AsyncShallowRedisSaver instance."""
         async with cls(
             redis_url=redis_url,
             redis_client=redis_client,
             connection_args=connection_args,
+            ttl=ttl,
         ) as saver:
             yield saver
 
@@ -279,6 +283,22 @@ async def aput(
             # Execute all operations atomically
             await pipeline.execute()
 
+            # Apply TTL to checkpoint and blob keys if configured
+            if self.ttl_config and "default_ttl" in self.ttl_config:
+                # Prepare the list of keys to apply TTL
+                ttl_keys = [checkpoint_key]
+                if blobs:
+                    ttl_keys.extend([key for key, _ in blobs])
+
+                # Apply TTL to all keys
+                ttl_minutes = self.ttl_config.get("default_ttl")
+                ttl_seconds = int(ttl_minutes * 60)
+
+                ttl_pipeline = self._redis.pipeline()
+                for key in ttl_keys:
+                    ttl_pipeline.expire(key, ttl_seconds)
+                await ttl_pipeline.execute()
+
             return next_config
 
         except asyncio.CancelledError:
@@ -389,6 +409,35 @@ async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
 
         doc = results.docs[0]
 
+        # If refresh_on_read is enabled, refresh TTL for checkpoint key and related keys
+        if self.ttl_config and self.ttl_config.get("refresh_on_read"):
+            thread_id = getattr(doc, "thread_id", "")
+            checkpoint_ns = getattr(doc, "checkpoint_ns", "")
+
+            # Get the checkpoint key
+            checkpoint_key = AsyncShallowRedisSaver._make_shallow_redis_checkpoint_key(
+                thread_id, checkpoint_ns
+            )
+
+            # Get all blob keys related to this checkpoint
+            blob_key_pattern = (
+                AsyncShallowRedisSaver._make_shallow_redis_checkpoint_blob_key_pattern(
+                    thread_id, checkpoint_ns
+                )
+            )
+            blob_keys = await self._redis.keys(blob_key_pattern)
+            blob_keys = [key.decode() for key in blob_keys]
+
+            # Apply TTL
+            ttl_minutes = self.ttl_config.get("default_ttl")
+            if ttl_minutes is not None:
+                ttl_seconds = int(ttl_minutes * 60)
+                pipeline = self._redis.pipeline()
+                pipeline.expire(checkpoint_key, ttl_seconds)
+                for key in blob_keys:
+                    pipeline.expire(key, ttl_seconds)
+                await pipeline.execute()
+
         checkpoint = json.loads(doc["$.checkpoint"])
 
         # Fetch channel_values