Cost Optimization Practical Solution
Plandex provides multi-level cost control tools:
1. Intelligent model routing
pass (a bill or inspection etc)set-modelcommand establishes the model usage policy:
- Simple tasks such as grammar checking assign economic models such as DeepSeek
- Automatic switching of complex tasks such as architecture design GPT-4
- Supports automatic load balancing based on token prices
2. Contextual distillation techniques
- utilizationplandex load --excludeFiltering of non-essential documents
- Enable the automatic de-weighting function:plandex config set dedup=true
- Activation of summary mode: compressed storage of historical conversations
3. Caching infrastructure
Built-in hierarchical caching system:
- Local disk caching of high-frequency context snippets
- Common Code Patterns for Redis Caching
- Implementation of request merging for OpenAI/Anthropic models
Measured data shows that a reasonable configuration can reduce the cost of 75% API calls, and the cost of million token-level tasks is reduced from $30 to $7.5.
This answer comes from the articlePlandex: an open source AI coding assistant with support for ultra-long contextsThe
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