Multilingual Support

Multilingual support allows your agents to communicate in multiple languages, expanding their ability to interact with a diverse user base. Flyflow provides the option to enable multilingual capabilities for your agents, enhancing their versatility in global conversations.

Enabling Multilingual Support

To enable multilingual support for an agent, set the language property to the language slug of your choice true when creating or updating an agent through the Flyflow API or Python client. When multilingual support is enabled, the agent can understand and respond in various languages.

Example

{
  "name": "My Multilingual Agent",
  "system_prompt": "You are a helpful assistant capable of communicating in multiple languages.",
  "language": "zh"
}

Language Detection and Translation

When multilingual support is enabled, Flyflow utilizes advanced language detection algorithms to identify the language of the user's input. The agent then processes the request and generates a response in the same language.

This seamless language handling allows your agent to switch between languages effortlessly, providing a natural conversational experience for users from different linguistic backgrounds.

Increased Latency Consideration

It's important to note that enabling multilingual support may introduce additional latency to your agent's responses. This increased processing time is due to the extra steps involved in language detection and potential translation processes.

While Flyflow strives to minimize this impact, you should be aware that multilingual agents may have slightly longer response times compared to monolingual agents. Consider this trade-off when deciding whether to enable multilingual support for your use case.

Language Coverage

Flyflow's multilingual support covers a wide range of languages, including but not limited to:

Language	Slug(s)
Bulgarian	`bg`
Catalan	`ca`
Chinese (Mandarin, Simplified)	`zh`, `zh-CN`, `zh-Hans`
Chinese (Mandarin, Traditional)	`zh-TW`, `zh-Hant`
Czech	`cs`
Danish	`da`, `da-DK`
Dutch	`nl`
English	`en`, `en-US`, `en-AU`, `en-GB`, `en-NZ`, `en-IN`
Estonian	`et`
Finnish	`fi`
Flemish	`nl-BE`
French	`fr`, `fr-CA`
German	`de`
German (Switzerland)	`de-CH`
Greek	`el`
Hindi	`hi`
Hungarian	`hu`
Indonesian	`id`
Italian	`it`
Japanese	`ja`
Korean	`ko`, `ko-KR`
Latvian	`lv`
Lithuanian	`lt`
Malay	`ms`
Norwegian	`no`
Polish	`pl`
Portuguese	`pt`, `pt-BR`
Romanian	`ro`
Russian	`ru`
Slovak	`sk`
Spanish	`es`, `es-419`
Swedish	`sv`, `sv-SE`
Thai	`th`, `th-TH`
Turkish	`tr`
Ukrainian	`uk`
Vietnamese	`vi`

Best Practices

When using multilingual support, consider the following best practices:

Clear System Prompts: Ensure your system prompt clearly indicates that the agent should respond in the same language as the user's input.
Testing: Thoroughly test your agent's performance in different languages to ensure accuracy and natural responses.
Fallback Mechanism: Implement a fallback mechanism for languages that may not be fully supported, redirecting users to available language options.
User Language Preference: If possible, allow users to set their preferred language explicitly to avoid potential misdetections.

Conclusion

Multilingual support is a powerful feature in Flyflow that enables your agents to communicate effectively with a global audience. By enabling multilingual capabilities, you can create versatile agents that break down language barriers and provide inclusive conversational experiences.

While the added latency should be considered, the benefits of multilingual support often outweigh this drawback for applications serving diverse linguistic communities. With Flyflow's multilingual support, you can expand your agent's reach and enhance its ability to assist users worldwide.