Business Report Generation Performance Optimization Solution
The latency problem for report generation scenarios can be optimized in the following multi-dimensional ways:
- Model Selection: switch llm_provider to claude in config.yaml, its more efficient for long text processing
- task segmentation: Split large reports into multiple subtasks by
--chunk_sizeParameterized control of single treatment volume - caching mechanism: Enable local SQLite caching for duplicate queries, modify the
cache_enabled=True - hardware acceleration: Configuring CUDA Environment Variables to Enable GPU Acceleration
export CUDA_VISIBLE_DEVICES=0
Practical examples show that a combination of task sharding and GPU acceleration can reduce the generation time of a 10-page report from 8 minutes to 90 seconds. It is also recommended to clean output catalog regularly to avoid storage buildup.
This answer comes from the articleJoyAgent-JDGenie: an open source multi-intelligence framework to support automated processing of complex tasksThe
May not be reproduced without permission:AI productivity tools " How to optimize the responsiveness of JoyAgent-JDGenie in handling business report generation tasks?
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