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Currently, Dialect primarily relies on traditional translation backends (Google, Bing, LibreTranslate, etc.). While these are effective, they lack the contextual nuance that modern LLMs provide. Integrating AI-based translation would significantly enhance the quality of translations, especially for complex or idiomatic phrases.
I would like to propose adding support for OpenAI-compatible LLM services. This would allow users to leverage models like GPT-5, DeepSeek, or even local models hosted via llama.cpp/vLLM.
Key configuration options should include:
API Key for authentication.
Base URL to support custom endpoints
Model Selection
SSE results returned
Additional:
I'm implementing this feature in my personal fork, and I'd like to know what the source repositories are doing about it.
2026-04-27.11-04-18.mp4
I am open to discussing how to best integrate this into the upstream project and can refine the code based on the project's standards.
Currently, Dialect primarily relies on traditional translation backends (Google, Bing, LibreTranslate, etc.). While these are effective, they lack the contextual nuance that modern LLMs provide. Integrating AI-based translation would significantly enhance the quality of translations, especially for complex or idiomatic phrases.
I would like to propose adding support for OpenAI-compatible LLM services. This would allow users to leverage models like GPT-5, DeepSeek, or even local models hosted via llama.cpp/vLLM.
Key configuration options should include:
Additional:
I'm implementing this feature in my personal fork, and I'd like to know what the source repositories are doing about it.
2026-04-27.11-04-18.mp4
I am open to discussing how to best integrate this into the upstream project and can refine the code based on the project's standards.