The harmony chat format is important because it provides special tokens to delineate message boundaries and uses keyword arguments to indicate message authors and recipients. This structure helps the models follow a role-based information hierarchy that resolves instruction conflicts, prioritizing system instructions over developer instructions and user messages, which enhances safety and effectiveness in interactions.
Moreover, the harmony chat format enables advanced agentic features, allowing for interleaved tool calls within the conversation and outlining longer action plans. This design is crucial for deploying the gpt-oss models effectively to achieve their best capabilities in various applications[1].
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