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        "changelog": "Summary: Major redesign—introduces a tool-driven orchestrator architecture for video question answering with strict memory management and sub-agent dispatch.\n\n- Rebranded as \"videoarm\": a video QA orchestrator that never analyzes images directly, but dispatches sub-agents for all frame and audio analysis.\n- Enforces strict read\/write of a single memory file (`\/tmp\/videoarm_memory.json`) as the source of truth on each turn; forbids reliance on prior tool outputs in conversation history.\n- Sub-agent pattern standardized: main agent extracts frames or audio, spawns stateless sub-agents for analysis (scene captions, targeted questions), and writes all results to memory.\n- Improved reproducibility and architecture: tool outputs go only to memory, allowing context to be fully rebuilt each turn and enabling parallel or isolated sub-agent analysis.\n- Clarified use of toolset: defined pipelines for downloading, metadata, frame extraction, audio transcription, and sub-agent dispatch for both visual and audio QA.\n- Documented recommended strategies, decision-making, and detailed memory file structure for consistent, traceable workflows.",
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        "version": "4.1.0"
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        "displayName": "Qianke Meng",
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        "displayName": "Video Reader",
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        "summary": "Tool-driven video question answering with frame extraction, sub-agent analysis, and audio transcription",
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