Five Practical Strategies for Reducing API Consumption
The following optimizations are recommended for DeepGemini's API quota consumption problem:
- 1. caching strategy: Set TTL expiration time for FAQ results to be stored in SQLite database
- 2. model layering: Use lightweight models (e.g. DeepSeek) for simple tasks and call Claude/GPT-4 for complex tasks only
- 3. fine tuning of parameters: Adjust temperature (0.3-0.7) and max_tokens in the role configuration to avoid overgeneration
Advanced Tips:
- Enable streaming response (stream=true) to get partial results in real-time
- Controlling Concurrent Requests with Docker Resource Limits
- Set RATE_LIMIT=100/minute in .env to prevent bursty traffic
- Analyze the usage distribution of the "API_CALL" field in the monitoring log.
Special note: For experimental workflows, you can first verify the effect in local test mode (uv run -reload) before formally invoking the
This answer comes from the articleDeepGemini: Multi-model orchestration of tasks and encapsulation into an API interfaceThe
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