Direct prompt injection occurs when a user crafts input specifically designed to alter the LLM’s behavior beyond its intended boundaries.
When a worker thread completes a task, it doesn't return a sprawling transcript of every failed attempt; it returns a compressed summary of the successful tool calls and conclusions.
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