iomgaa
862af60984
主要改进: • 新增Qwen3-7B模型配置支持 • 完善main.py模型类型验证和配置管理 • 新增--list-models参数显示所有可用模型 • 固定Evaluator使用gpt-oss:latest模型提升评估一致性 • 优化评估器历史记录处理逻辑 • 更新默认日志目录为results0905-2 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
99 lines
3.0 KiB
Python
Executable File
99 lines
3.0 KiB
Python
Executable File
import os
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API_KEY = "sk-263038d4bf4e46a0bed16532587cff40"
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# {project_root}/medsynthai
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BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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# LLM model configuration based on agno
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LLM_CONFIG = {
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"deepseek": {
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"class": "DeepSeek",
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"params": {
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"id": "deepseek-chat",
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"api_key": API_KEY,
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"base_url": "https://api.deepseek.com"
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}
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},
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"gpt-oss:latest": {
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"class": "OpenAILike",
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"params": {
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"id": "gpt-oss",
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"base_url": "http://100.82.33.121:19090/v1", # Ollama OpenAI兼容端点
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"api_key": "gpustack_d402860477878812_9ec494a501497d25b565987754f4db8c" # Ollama不需要真实API密钥，任意字符串即可
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}
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},
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"Qwen3-7B": {
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"class": "OpenAILike",
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"params": {
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"id": "qwen3",
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"base_url": "http://100.82.33.121:19090/v1", # Ollama OpenAI兼容端点
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"api_key": "gpustack_d402860477878812_9ec494a501497d25b565987754f4db8c" # Ollama不需要真实API密钥，任意字符串即可
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}
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},
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"deepseek-v3": {
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"class": "OpenAILike",
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"params": {
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"id": "deepseek-v3",
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"base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
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"api_key": API_KEY
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}
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},
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"deepseek-r1": {
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"class": "OpenAILike",
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"params": {
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"id": "deepseek-r1",
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"base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
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"api_key": API_KEY
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}
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},
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"qwen-max": {
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"class": "OpenAILike",
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"params": {
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"id": "qwen-max",
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"base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
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"api_key": API_KEY
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}
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},
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"qwen-vl-max": {
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"class": "OpenAILike", # 使用OpenAI兼容类
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"params": {
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"id": "qwen-vl-max",
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"base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1", # OpenAI兼容端点 # 降低随机性，提高结果一致性
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"api_key": API_KEY
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}
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},
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"aliyun": {
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"class": "OpenAILike",
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"params": {
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"id": "qwen-max", # 默认使用qwen-max模型
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"base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
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"api_key": API_KEY
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}
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}
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}
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AGENT_CONFIG = {
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"medical_image_analysis_agent": "qwen-vl-max"
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}
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RAG_CONFIG = {
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"lightrag": {
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"working_dir": "./Vector_DB_Med",
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"tokenizer_name": "trueto/medbert-base-chinese",
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"model_name": "trueto/medbert-base-chinese",
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"embedding_dim": 768,
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"max_token_size": 512
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},
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"chroma_db": {
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"api_key": API_KEY,
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"base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
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"collection_name": "doctor",
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"batch_size": 100,
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"chroma_db_path": os.path.join(BASE_DIR, "static/rag/chroma_db"),
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"csv_path": os.path.join(BASE_DIR, "static/files/zhongkang_doctor_list.csv")
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}
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}
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