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

1. Language Detection

   • Classifier identifies query language
   • Routes to appropriate language-specific agent
   • Maintains context across languages

2. Language-Specific Agents

   • Dedicated agents for each supported language
   • Specialized in language-specific responses
   • Consistent response quality across languages

3. Dynamic Language Routing

   • Automatic routing based on detected language
   • Seamless language switching
   • Maintains conversation context

Implementation Example

// French language agent
orchestrator.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 agent
orchestrator.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