Letta @letta.com · Oct 30 Today we're releasing Context-Bench, an open benchmark for agentic context engineering. Context-Bench evaluates how well language models can chain file operations, trace entity relationships, and manage long-horizon multi-step tool calling.
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Agentic context engineering is the new frontier in AI agent capabilities. Models that are post-trained specifically for context engineering excel at long-horizon tasks where the task length far exceeds the native context window of the LLMs themselves. So which models do it best?