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config_example.ini
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[global]
# 携带历史对话轮数上限
history_limit = 10
[zhipu]
api_key =
model = glm-3-turbo
max_tokens = 800
temperature = 0.9
top_p = 0.7
system =
# 开启后，提示词token几乎会增加到max_tokens上限，但回答质量还算可观
use_web_search = false
[azure_openai]
api_end_point =
deply_name =
api_version = 2024-02-01
api_key =
# Azure OpenAI默认TPS是1000
max_tokens = 300
temperature = 0.7
top_p = 0.7
system =
[bianxieai_openai]
[ernie]
# model在api文档的请求地址的最后一段https://cloud.baidu.com/doc/WENXINWORKSHOP/s/dltgsna1o
free_model = ernie-lite-8k
model = completions
api_key =
secret_key =
# 鉴权方式，可选access_token或sign（基于安全认证、签名）的方式，后者暂未实现
auth_method = access_token
temperature = 0.95
top_p = 0.7
penalty_score = 1
max_output_tokens = 2048
system =
# 开启后，返回内容会加上参考资料的角标，免费版不支持联网查询，所以没用
enable_citation = true
# 开启后，会返回参考资料的search_info列表，免费版不支持
enable_trace = true
[spark]
appid =
api_secret =
api_key =
# Pro版wss://spark-api.xf-yun.com/v3.1/chat
# Max版wss://spark-api.xf-yun.com/v3.5/chat
url = wss://spark-api.xf-yun.com/v1.1/chat
# Pro版generalv3
# Max版generalv3.5
domain = general
# 取值(0,1)
temperature = 0.5
# 最大4096
max_tokens = 4096
# 取值1,2,3,4,5,6
top_k = 4
system =
[qwen]
api_key =
# 模型，qwen-long、qwen-max、qwen-plus、qwen1.5-110b-chat等，详见阿里云百炼模型广场
# 最便宜的qwen-long，没有网络搜索能力
model = qwen-long
# 带网络搜索能力的模型，网络搜索会增加提示词token的消耗
model_search = qwen-turbo
# 参考 https://help.aliyun.com/zh/dashscope/developer-reference/compatibility-of-openai-with-dashscope/?spm=a2c4g.11186623.0.0.25134ad0n6mRiV#341800c1f8h93
# 摸了，用openai兼容接口
url = https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions
top_p = 0.8
temperature = 1.0
max_tokens = 2000
system =
[deepseek]
#==================== start 深度求索官方api ======================
# 模型，deepseek-chat或deepseek-reasoner，后者为推理模型。
# 详见 https://api-docs.deepseek.com/zh-cn/quick_start/pricing
# api_key =
# model = deepseek-chat
# model_reasoner = deepseek-reasoner
# url = https://api.deepseek.com/chat/completions
#==================== end 深度求索官方api ======================
#==================== start 腾讯云知识引擎原子能力 ======================
api_key =
url = https://api.lkeap.cloud.tencent.com/v1/chat/completions
model = deepseek-v3
model_reasoner = deepseek-r1
#==================== end 腾讯云知识引擎原子能力 ======================
temperature = 1.3
top_p = 1
frequency_penalty = 0
max_tokens = 8000
presence_penalty = 0
# response_format = {"type": "text"}
# stream = false
system =