LLM cost optimization three-phase program
AIRouter achieves optimal price/performance through a multi-dimensional cost control mechanism:
- Pre-configuration::
- Prioritize low-cost vendor keys (e.g. DeepInfra) in api_keys_local.py
- Set mode="cost_first" to enable the cost-first mode.
- run-time control::
- Health Check Service monitors billing across APIs in real time
- Automatic selection of the fastest model within the cost threshold by Pareto-optimal algorithm
- post analysis::
- Analyze the actual consumption of each model in the api_key_usage table of the MySQL database
- Viewing cost alert logs with docker-compose logs
Advanced Tips:
For non-critical tasks, a list of cost-sensitive models (e.g., ["claude35_sonnet", "gemini15_pro"]) can be specified using the generate_fromTHEbest method that excludes high-priced models.
This answer comes from the articleAIRouter: Intelligent Routing Tool for Calling Multiple Models with Unified API InterfaceThe
May not be reproduced without permission:AI productivity tools " How to optimize the cost-benefit ratio of LLM use?
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