How to add TTLs to your LangGraph application

Prerequisites This guide assumes familiarity with the LangGraph Platform, Persistence, and Cross-thread persistence concepts.

“LangGraph platform only”

TTLs are only supported for LangGraph platform deployments. This guide does not apply to LangGraph OSS.

The LangGraph Platform persists both checkpoints (thread state) and cross-thread memories (store items). Configure Time-to-Live (TTL) policies in langgraph.json to automatically manage the lifecycle of this data, preventing indefinite accumulation.

Configuring Checkpoint TTL

Checkpoints capture the state of conversation threads. Setting a TTL ensures old checkpoints and threads are automatically deleted.

Add a checkpointer.ttl configuration to your langgraph.json file:

{
  "dependencies": ["."],
  "graphs": {
    "agent": "./agent.py:graph"
  },
  "checkpointer": {
    "ttl": {
      "strategy": "delete",
      "sweep_interval_minutes": 60,
      "default_ttl": 43200 
    }
  }
}

• strategy: Specifies the action taken on expiration. Currently, only "delete" is supported, which deletes all checkpoints in the thread upon expiration.
• sweep_interval_minutes: Defines how often, in minutes, the system checks for expired checkpoints.
• default_ttl: Sets the default lifespan of checkpoints in minutes (e.g., 43200 minutes = 30 days).

Configuring Store Item TTL

Store items allow cross-thread data persistence. Configuring TTL for store items helps manage memory by removing stale data.

Add a store.ttl configuration to your langgraph.json file:

{
  "dependencies": ["."],
  "graphs": {
    "agent": "./agent.py:graph"
  },
  "store": {
    "ttl": {
      "refresh_on_read": true,
      "sweep_interval_minutes": 120,
      "default_ttl": 10080
    }
  }
}

• refresh_on_read: (Optional, default true) If true, accessing an item via get or search resets its expiration timer. If false, TTL only refreshes on put.
• sweep_interval_minutes: (Optional) Defines how often, in minutes, the system checks for expired items. If omitted, no sweeping occurs.
• default_ttl: (Optional) Sets the default lifespan of store items in minutes (e.g., 10080 minutes = 7 days). If omitted, items do not expire by default.

Combining TTL Configurations

You can configure TTLs for both checkpoints and store items in the same langgraph.json file to set different policies for each data type. Here is an example:

{
  "dependencies": ["."],
  "graphs": {
    "agent": "./agent.py:graph"
  },
  "checkpointer": {
    "ttl": {
      "strategy": "delete",
      "sweep_interval_minutes": 60,
      "default_ttl": 43200
    }
  },
  "store": {
    "ttl": {
      "refresh_on_read": true,
      "sweep_interval_minutes": 120,
      "default_ttl": 10080
    }
  }
}

Runtime Overrides

The default store.ttl settings from langgraph.json can be overridden at runtime by providing specific TTL values in SDK method calls like get, put, and search.

Deployment Process

After configuring TTLs in langgraph.json, deploy or restart your LangGraph application for the changes to take effect. Use langgraph dev for local development or langgraph up for Docker deployment.

See the langgraph.json CLI reference for more details on the other configurable options.