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These capabilities are available starting with agent runtime version 2.0.0 (Private preview). Availability is currently limited to select projects. Do not rely on preview features in production systems.
Longer, more complex agent tasks, such as analyzing data across thousands of rows or time series data points, can run into a few problems: the task needs to be broken down and tracked, some tools need to run code or commands in a safe environment, and long conversations can grow past the language model’s context limit. Runtime version 2.0.0 addresses these with to-do list tracking, a sandbox execution environment, and automatic context compression, so agents can run longer, more complex tasks.

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To-do list tracking

For a multi-step task, the agent breaks the work into a to-do list and tracks progress against each item as it works. This produces more reliable results for tasks that span many steps, such as processing a large dataset in batches.

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Sandbox

The sandbox gives an agent an isolated, temporary environment to execute commands and run scripts that use the Cognite Python Software Development Kit (SDK). From the sandbox, an agent can read data from your CDF project but can’t create, update, or delete it. Using the sandbox requires the sessions:create capability. Each command times out after 9.5 minutes. The sandbox stays available for about 12 hours after the last command, then clears automatically.

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Automatic context compression

When a conversation grows long, the agent compresses older turns while retaining the details needed to continue the task. This prevents long-running and multi-step tasks from failing when they approach the language model’s context limit. No configuration is required.

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Tool result offloading

When a tool call returns a large result, such as a lengthy document or extensive query output, the agent stores it separately and keeps only a short preview in context. If the full result is needed later, the agent retrieves it automatically. No configuration is required.
Last modified on August 19, 2026