63 lines
2.1 KiB
Text
63 lines
2.1 KiB
Text
# --------------------------------------------------
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# Gemini-Specific Settings (Optional)
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# --------------------------------------------------
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# Sets the thinking budget for Gemini models.
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# - To turn on dynamic thinking, set to -1.
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# - To disable thinking (on compatible models like 2.5 Flash), set to 0.
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# - To set a specific token budget, use a positive integer (e.g., 8192).
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# - Leave this variable out to use the model's default setting.
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GEMINI_THINKING_BUDGET=
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# Set to "gemini" to use the Gemini API or "openai" for OpenAI-compatible APIs (If empty it will default to openai.)
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API_PROVIDER=openai
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# API URL, leave blank to use OpenAI API.
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# Nvidia example: "https://integrate.api.nvidia.com/v1/"
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api=""
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# API key
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key=""
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#Oranization key, make something up for self hosted or other API. If using Nvidia API, leave it blank or it can get wonky
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organization=""
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# LLM model name.
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# Default below works for OpenAI; for Gemini/Nvidia set your provider model name.
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model="gpt-4.1"
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#The language to translate TO, Don't forget to change the prompt
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language="English"
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#The timeout before disconnect error, 30 to 120 recommended
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timeout="120"
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#The number of files to translate at the same time, 1 recommended for free or self hosted API or gpt-4
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fileThreads="5"
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#Concurrent API calls per file (threads per file), 1 recommended for free or self hosted API or gpt-4
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threads="1"
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#The wordwrap of dialogue text
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width="60"
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#The wordwrap of items and help text
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listWidth="100"
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#The wordwrap of items and help text
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noteWidth="75"
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#CSV delimiter character (comma, semicolon, or tab)
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csvDelimiter=","
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# Custom input API cost - default value for gpt-3.5, replace with your actual input API cost - depends on the model, see https://openai.com/pricing
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input_cost= 0.002
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# Custom output API cost - default value for gpt-3.5, replace with your actual input API cost - depends on the model, see https://openai.com/pricing
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output_cost= 0.002
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# Batch size - adjust according to your API's limitations
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batchsize="10"
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# Frequency penalty - adjust according to your needs
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frequency_penalty= 0.2
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