Why Long-Running AI Agents Break on HTTP, and How Ably's Durable Sessions Fix It
Long-running AI agents often encounter issues with HTTP due to its request-response cycle, which is not designed for prolonged exchanges. These agents can break connections during lengthy operations, leading to lost data and increased costs. Ably's durable session model addresses these challenges by separating the session from the connection, allowing for continuous operation even when connections are interrupted.
- ▪Long-running AI agents can exceed the idle time limits of HTTP connections, causing them to break.
- ▪Traditional HTTP connections close after a short period, which is problematic for agents that take longer to process requests.
- ▪Ably's durable session model allows sessions to persist independently of the connection, enabling reliable communication.
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