Policy Based Configuration is LlamaFarm's original design to unify management system behavior through predefined policy packages (strategies). The concept consists of three key dimensions:
technical realization::
- Strategies are defined in a YAML file (e.g. config/strategies.yaml)
- Includes linkage configuration for components such as RAGs, models, cue words, etc.
- Support Jinja2 template syntax to implement dynamic parameters
Business Application Scenarios::
1) Customer Support: The system is automatically combined when the customer_support policy is used:
- Smaller text blocks (256 characters) improve matching accuracy
- GPT-3.5-turbo reduces response costs
- Friendly Conversation Template
2) academic research: The RESEARCH policy is configured as:
- Larger blocks of text (512 characters) retain context
- GPT-4 guarantees the quality of answers
- Formal style template
Operational Advantages::
- Through environment variablesLLAMAFARM_STRATEGYOne-click switching of system-wide behavior
- Supports strategy optimization iterations based on A/B testing
- Version control ensures configuration traceability
This design allows even non-technical people to adapt to different business scenarios through policy selection.
This answer comes from the articleLlamaFarm: a development framework for rapid local deployment of AI models and applicationsThe
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