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41 lines
1.1 KiB
TOML
41 lines
1.1 KiB
TOML
[system]
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# Load language from environment variable(It is set by the hook)
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language = "${env:DBGPT_LANG:-zh}"
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api_keys = []
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encrypt_key = "your_secret_key"
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# Server Configurations
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[service.web]
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host = "0.0.0.0"
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port = 5670
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[service.web.database]
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type = "sqlite"
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path = "pilot/meta_data/dbgpt.db"
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[rag.storage]
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[rag.storage.vector]
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type = "chroma"
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persist_path = "pilot/data"
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# Model Configurations
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[models]
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[[models.llms]]
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name = "Qwen/Qwen3-14B"
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provider = "hf"
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# If not provided, the model will be downloaded from the Hugging Face model hub
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# uncomment the following line to specify the model path in the local file system
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# path = "the-model-path-in-the-local-file-system"
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# Force the model to be used in non-thinking mode, set to false
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# reasoning_model = false
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[[models.embeddings]]
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name = "Qwen/Qwen3-Embedding-0.6B"
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provider = "hf"
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# If not provided, the model will be downloaded from the Hugging Face model hub
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# uncomment the following line to specify the model path in the local file system
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# path = "the-model-path-in-the-local-file-system"
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[[models.rerankers]]
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name = "Qwen/Qwen3-Reranker-0.6B"
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provider = "qwen" |