Multi-lingual Routing Pattern
By integrating language-specific agents, the Multi-Agent Orchestrator can provide multi-lingual support, enabling users to interact with the system in their preferred language while maintaining consistent experiences.
Key Components
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Language Detection
- Classifier identifies query language
- Routes to appropriate language-specific agent
- Maintains context across languages
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Language-Specific Agents
- Dedicated agents for each supported language
- Specialized in language-specific responses
- Consistent response quality across languages
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Dynamic Language Routing
- Automatic routing based on detected language
- Seamless language switching
- Maintains conversation context
Implementation Example
// French language agentorchestrator.addAgent( new BedrockLLMAgent({ name: "Text Summarization Agent for French Language", modelId: "anthropic.claude-3-haiku-20240307-v1:0", description: "This is a very simple text summarization agent for french language.", streaming: true, inferenceConfig: { temperature: 0.0, }, }));
// English language agentorchestrator.addAgent( new BedrockLLMAgent({ name: "Text Summarization Agent English Language", modelId: "mistral.mistral-small-2402-v1:0", description: "This is a very simple text summarization agent for english language.", streaming: true, inferenceConfig: { temperature: 0.0, } }));
Implementation Notes
- Models shown are for illustration
- Any suitable LLM can be substituted
- Principle remains consistent across different models
- Configure based on language-specific requirements
Benefits
- Native language support
- Consistent user experience
- Scalable language coverage
- Maintainable language-specific logic