Performance Optimization Key Points
For the API call latency problem, the response speed can be improved by a three-level optimization scheme:
- Model Selection Strategy::
- Routine counseling use
deepseek-chatlightweight model - Enable only for complex reasoning scenarios
deepseek-reasoner - pass (a bill or inspection etc)
/模型列表View supported QPS parameters
- Routine counseling use
- Network Layer Optimization::
- Configuring API request timeouts
deepseek__timeout=10 - Enable HTTP/2 protocol acceleration
- Choosing the same geographic region as the API server when deploying cloud functions
- Configuring API request timeouts
- caching mechanism::
- Setting for high-frequency problems
--shortcutshortcut command - Caching the last 5 minutes of Q&A with Redis
- Enabling local caching for Markdown to images
- Setting for high-frequency problems
Monitoring Recommendations
Regular use/余额command to check API consumption, abnormal traffic may mean that cue words need to be optimized or rate limits added.
This answer comes from the articleNoneBot DeepSeek Plugin: Intelligent dialog for customer service based on NoneBot & DeepSeek.The
May not be reproduced without permission:AI productivity tools " How to optimize the responsiveness of the NoneBot DeepSeek plugin?
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