Cost Control Strategies for AI Research Assistants
CleverBee offers three tiers of cost-optimized solutions:
- caching mechanism: NormalizingCache stores historical queries and prioritizes the cached results to be called when similar problems occur, avoiding duplicate computations.
- Model Selection: Configure the economy model (e.g. Gemini 2.5 Flash) in config.yaml and enable the high-end model only if necessary
- real time monitoring: the interface directly displays the token consumption of each query, and the history can be exported for analysis
Advanced tips include: 1) Setting limits to prevent excessive single consumption 2) Prioritizing the use of PDF parsing instead of web crawling for fixed content 3) For long-term projects can be configured with a local GGUF model (requires more than 24GB of video memory). Cloud model is recommended to set the parameters of 0.3-0.7 to balance the quality and cost.
This answer comes from the articleCleverBee: open source AI research assistant generates citation studiesThe
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