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ref：修改默认推荐模型为v3.2和r1

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This commit is contained in:
SengokuCola
2025-10-26 23:06:11 +08:00
parent c5b9bc4927
commit 7660be7076
4 changed files with 33 additions and 26 deletions
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3
src/chat/replyer/group_generator.py
View File

@@ -1009,6 +1009,9 @@ class DefaultReplyer:
prompt
)
# 移除 content 前后的换行符和空格
content = content.strip()
logger.info(f"使用 {model_name} 生成回复内容: {content}")
return content, reasoning_content, model_name, tool_calls

2
src/chat/replyer/private_generator.py
View File

@@ -930,6 +930,8 @@ class PrivateReplyer:
content, (reasoning_content, model_name, tool_calls) = await self.express_model.generate_response_async(
prompt
)
content = content.strip()
logger.info(f"使用 {model_name} 生成回复内容: {content}")
return content, reasoning_content, model_name, tool_calls

4
src/plugins/built_in/memory/build_memory.py
View File

@@ -128,9 +128,9 @@ class GetMemoryTool(BaseTool):
content_parts = [f"问题：{question}"]
if memory_answer:
content_parts.append(f"记忆仓库答案：{memory_answer}")
content_parts.append(f"对问题'{question}'，你回忆的信息是：{memory_answer}")
else:
content_parts.append(f"记忆仓库：对问题'{question}'，没有什么印象")
content_parts.append(f"对问题'{question}'，没有什么印象")
if chat_answer:
content_parts.append(f"对问题'{question}'，基于聊天记录的回答：{chat_answer}")

50
template/model_config_template.toml
View File

@@ -35,9 +35,9 @@ name = "SiliconFlow"
base_url = "https://api.siliconflow.cn/v1"
api_key = "your-siliconflow-api-key"
client_type = "openai"
max_retry = 2
max_retry = 3
timeout = 120
retry_interval = 10
retry_interval = 5
[[models]] # 模型（可以配置多个）
@@ -49,11 +49,22 @@ price_out = 8.0 # 输出价格（用于API调用统计，单
#force_stream_mode = true # 强制流式输出模式（若模型不支持非流式输出，请取消该注释，启用强制流式输出，若无该字段，默认值为false）
[[models]]
model_identifier = "deepseek-ai/DeepSeek-V3"
name = "siliconflow-deepseek-v3"
model_identifier = "deepseek-ai/DeepSeek-V3.2-Exp"
name = "siliconflow-deepseek-v3.2"
api_provider = "SiliconFlow"
price_in = 2.0
price_out = 8.0
price_out = 3.0
[models.extra_params] # 可选的额外参数配置
enable_thinking = false # 不启用思考
[[models]]
model_identifier = "deepseek-ai/DeepSeek-V3.2-Exp"
name = "siliconflow-deepseek-v3.2-think"
api_provider = "SiliconFlow"
price_in = 2.0
price_out = 3.0
[models.extra_params] # 可选的额外参数配置
enable_thinking = true # 不启用思考
[[models]]
model_identifier = "deepseek-ai/DeepSeek-R1"
@@ -63,15 +74,6 @@ price_in = 4.0
price_out = 16.0
[[models]]
model_identifier = "Qwen/Qwen3-8B"
name = "qwen3-8b"
api_provider = "SiliconFlow"
price_in = 0
price_out = 0
[models.extra_params] # 可选的额外参数配置
enable_thinking = false # 不启用思考
[[models]]
model_identifier = "Qwen/Qwen3-30B-A3B-Instruct-2507"
name = "qwen3-30b"
@@ -80,8 +82,8 @@ price_in = 0.7
price_out = 2.8
[[models]]
model_identifier = "Qwen/Qwen2.5-VL-72B-Instruct"
name = "qwen2.5-vl-72b"
model_identifier = "Qwen/Qwen3-VL-30B-A3B-Instruct"
name = "qwen3-vl-30"
api_provider = "SiliconFlow"
price_in = 4.13
price_out = 4.13
@@ -102,12 +104,12 @@ price_out = 0
[model_task_config.utils] # 在麦麦的一些组件中使用的模型，例如表情包模块，取名模块，关系模块，麦麦的情绪变化等，是麦麦必须的模型
model_list = ["siliconflow-deepseek-v3"] # 使用的模型列表，每个子项对应上面的模型名称(name)
model_list = ["siliconflow-deepseek-v3.2"] # 使用的模型列表，每个子项对应上面的模型名称(name)
temperature = 0.2 # 模型温度，新V3建议0.1-0.3
max_tokens = 2048 # 最大输出token数
[model_task_config.utils_small] # 在麦麦的一些组件中使用的小模型，消耗量较大，建议使用速度较快的小模型
model_list = ["qwen3-8b","qwen3-30b"]
model_list = ["qwen3-30b"]
temperature = 0.7
max_tokens = 2048
@@ -117,17 +119,17 @@ temperature = 0.7
max_tokens = 800
[model_task_config.replyer] # 首要回复模型，还用于表达器和表达方式学习
model_list = ["siliconflow-deepseek-v3","siliconflow-deepseek-r1"]
model_list = ["siliconflow-deepseek-v3.2-think","siliconflow-deepseek-r1","siliconflow-deepseek-v3.2"]
temperature = 0.3 # 模型温度，新V3建议0.1-0.3
max_tokens = 800
[model_task_config.planner] #决策：负责决定麦麦该什么时候回复的模型
model_list = ["siliconflow-deepseek-v3"]
model_list = ["siliconflow-deepseek-v3.2"]
temperature = 0.3
max_tokens = 800
[model_task_config.vlm] # 图像识别模型
model_list = ["qwen2.5-vl-72b"]
model_list = ["qwen3-vl-30"]
max_tokens = 256
[model_task_config.voice] # 语音识别模型
@@ -140,16 +142,16 @@ model_list = ["bge-m3"]
#------------LPMM知识库模型------------
[model_task_config.lpmm_entity_extract] # 实体提取模型
model_list = ["siliconflow-deepseek-v3"]
model_list = ["siliconflow-deepseek-v3.2"]
temperature = 0.2
max_tokens = 800
[model_task_config.lpmm_rdf_build] # RDF构建模型
model_list = ["siliconflow-deepseek-v3"]
model_list = ["siliconflow-deepseek-v3.2"]
temperature = 0.2
max_tokens = 800
[model_task_config.lpmm_qa] # 问答模型
model_list = ["qwen3-30b"]
model_list = ["siliconflow-deepseek-v3.2"]
temperature = 0.7
max_tokens = 800