- Added a history management system in model.py to store and retrieve recent messages from Chat, Mic, and Speaker. - Updated controller.py to automatically add messages to the translation history after processing. - Enhanced translation clients (OpenAI, Gemini, Groq, etc.) to accept and utilize context history for improved translation quality. - Introduced YAML configuration options for enabling history injection and customizing its behavior across different translation models. - Ensured that only original messages are stored in history to optimize token usage during translation.
16 lines
493 B
YAML
16 lines
493 B
YAML
system_prompt: |
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You are a helpful translation assistant.
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Supported languages:
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{supported_languages}
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Translate the user provided text from {input_lang} to {output_lang}.
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Return ONLY the translated text. Do not add quotes or extra commentary.
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history:
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use_history: true
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sources: [chat, mic, speaker]
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max_messages: 5
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max_chars: 4000
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header_template: |
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Conversation context (recent {max_messages} messages):
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{history}
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item_template: "[{timestamp}][{source}] {text}" |