LMOS Router
The LMOS Router is a vital component of the LMOS architecture. It utilizes agent metadata to identify the most suitable agent for a given task based on their capabilities. The Router supports three methods:
- LLM-based approach: Uses a language model to understand and match a task with agent capabilities.
- Vector-based approach: Uses semantic similarity to find the most suitable agent for a task.
- Hybrid approach: Extracts abstract requirements from the query using an LLM and then searches for an agent using semantic similarity.
Routing Methods
LLM-Based Approach
Uses advanced language models like OpenAI's GPT-3.5 to understand the context and semantics of user queries.
Pros:
- Understands complex queries and context.
- Flexible and adaptable to various scenarios.
- Utilizes state-of-the-art NLP techniques.
Cons:
- Expensive due to commercial language model costs.
- Higher response times.
- Dependent on external APIs with potential rate limits.
Vector-Based Approach
Uses vector embeddings to represent queries and agent capabilities, comparing them using cosine similarity.
Pros:
- Fast and efficient for large-scale data.
- Scalable to handle more agents and queries.
- Independent of external APIs.
Cons:
- Limited in understanding complex queries.
- Requires initial setup and regular updates.
- Needs maintenance for embedding updates.
Hybrid Approach
Extracts abstract requirements from the query using an LLM and then searches for an agent using semantic similarity.
Pros:
- Balances the strengths of both LLM and Vector-based approaches.
- Better understanding of complex queries than vector-based alone.
- More efficient than LLM-based alone.
Cons:
- Still dependent on external APIs for LLM.
- Requires integration of both LLM and vector-based systems.
Comparison Table
| Feature | LLM-Based Approach | Vector-Based Approach | Hybrid Approach |
|---|---|---|---|
| Contextual Understanding | High | Moderate | High |
| Flexibility | High | Moderate | High |
| Efficiency | Moderate | High | High |
| Scalability | Moderate | High | High |
| Cost | High | Low | High |
| Latency | Higher | Lower | High |
| Dependency | High | Low | High |
| Setup Complexity | Low | High | High |
| Maintenance | Low | High | High |