In AI model applications, there’s often a conflict between real-time performance and structured data output. Traditional JSON parsing requires waiting for complete data, leading to high latency, while Markdown format cannot ensure strong structuring. This article introduces a streaming JSON parser based on a finite state machine, supporting character-by-character parsing, path subscription, and incremental output. The parser can trigger callbacks in real-time during AI output, transmitting only new data, ensuring both user experience and data structuring. Through this proprietary solution, the challenge of balancing real-time performance and structured output in AI applications has been successfully resolved, providing developers with a practical technical reference.
