58 lines
1.3 KiB
YAML
58 lines
1.3 KiB
YAML
# BidMaster-CLI 默认配置
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# LLM设置
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llm:
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# 提供商: openai, azure_openai, anthropic, zhipu, qwen, deepseek, ollama
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llm_provider: "openai"
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model_name: "gpt-4"
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temperature: 0.1
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max_tokens: 4000
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# Azure OpenAI 特定配置（使用azure_openai时需要）
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# azure_api_version: "2024-02-15-preview"
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# azure_deployment: "your-deployment-name"
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# Ollama 配置（使用ollama时需要）
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# ollama_host: "http://localhost:11434"
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# 向量数据库设置
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vector_db:
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persist_directory: "./data/kb"
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collection_name: "bidmaster_kb"
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# 嵌入模型设置
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embedding:
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model_name: "text-embedding-3-small"
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chunk_size: 1000
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chunk_overlap: 200
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# 文档处理设置
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document:
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max_file_size: 50MB
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supported_formats: [".pdf", ".docx", ".txt", ".md"]
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# 性能设置
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performance:
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max_workers: 4
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timeout: 300
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# 交互设置
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interaction:
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interaction_timeout: 60 # 用户输入超时时间(秒)
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# 日志设置
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logging:
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level: INFO
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format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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# RAG 检索与上下文控制（注意：这些必须是顶层字段，才能映射到 Settings）
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rag_search_top_k: 3
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rag_search_top_k_max: 20
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rag_similarity_threshold: 0.0
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tender_doc_search_top_k: 3
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tender_doc_search_top_k_max: 20
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tender_doc_similarity_threshold: 0.2
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rag_context_dedup: true
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rag_context_token_budget: 1200 |