Merge branch 'master' into frontier

这个提交包含在:
binary-husky
2025-05-06 22:18:48 +08:00
当前提交 3ed1b0320e
共有 6 个文件被更改,包括 101 次插入7 次删除

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@@ -7,11 +7,11 @@
Configuration reading priority: environment variable > config_private.py > config.py
"""
# [step 1-1]>> ( 接入GPT等模型 ) API_KEY = "sk-123456789xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx123456789"。极少数情况下,还需要填写组织格式如org-123456789abcdefghijklmno的,请向下翻,找 API_ORG 设置项
# [step 1-1]>> ( 接入OpenAI模型家族 ) API_KEY = "sk-123456789xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx123456789"。极少数情况下,还需要填写组织格式如org-123456789abcdefghijklmno的,请向下翻,找 API_ORG 设置项
API_KEY = "在此处填写APIKEY" # 可同时填写多个API-KEY,用英文逗号分割,例如API_KEY = "sk-openaikey1,sk-openaikey2,fkxxxx-api2dkey3,azure-apikey4"
# [step 1-2]>> ( 接入通义 qwen-max ) 接入通义千问在线大模型,api-key获取地址 https://dashscope.console.aliyun.com/
DASHSCOPE_API_KEY = "" # 阿里灵积云API_KEY
# [step 1-2]>> ( 强烈推荐!接入通义家族 & 大模型服务平台百炼 ) 接入通义千问在线大模型,api-key获取地址 https://dashscope.console.aliyun.com/
DASHSCOPE_API_KEY = "" # 阿里灵积云API_KEY用于接入qwen-max,dashscope-qwen3-14b,dashscope-deepseek-r1等
# [step 1-3]>> ( 接入 deepseek-reasoner, 即 deepseek-r1 ) 深度求索(DeepSeek) API KEY,默认请求地址为"https://api.deepseek.com/v1/chat/completions"
DEEPSEEK_API_KEY = ""
@@ -46,6 +46,7 @@ AVAIL_LLM_MODELS = ["qwen-max", "o1-mini", "o1-mini-2024-09-12", "o1", "o1-2024-
"deepseek-chat", "deepseek-coder", "deepseek-reasoner",
"volcengine-deepseek-r1-250120", "volcengine-deepseek-v3-241226",
"dashscope-deepseek-r1", "dashscope-deepseek-v3",
"dashscope-qwen3-14b", "dashscope-qwen3-235b-a22b", "dashscope-qwen3-32b",
]
EMBEDDING_MODEL = "text-embedding-3-small"

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@@ -34,7 +34,7 @@ def encode_plugin_info(k, plugin)->str:
def main():
import gradio as gr
if gr.__version__ not in ['3.32.12', '3.32.13']:
if gr.__version__ not in ['3.32.14', '3.32.13']:
raise ModuleNotFoundError("使用项目内置Gradio获取最优体验! 请运行 `pip install -r requirements.txt` 指令安装内置Gradio及其他依赖, 详情信息见requirements.txt.")
# 一些基础工具

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@@ -282,6 +282,7 @@ model_info = {
"fn_with_ui": chatgpt_ui,
"fn_without_ui": chatgpt_noui,
"endpoint": openai_endpoint,
"can_multi_thread": True,
"max_token": 128000,
"tokenizer": tokenizer_gpt4,
"token_cnt": get_token_num_gpt4,
@@ -314,6 +315,50 @@ model_info = {
"openai_force_temperature_one": True,
},
"gpt-4.1":{
"fn_with_ui": chatgpt_ui,
"fn_without_ui": chatgpt_noui,
"has_multimodal_capacity": True,
"endpoint": openai_endpoint,
"max_token": 828000,
"tokenizer": tokenizer_gpt4,
"token_cnt": get_token_num_gpt4,
},
"gpt-4.1-mini":{
"fn_with_ui": chatgpt_ui,
"fn_without_ui": chatgpt_noui,
"has_multimodal_capacity": True,
"endpoint": openai_endpoint,
"max_token": 828000,
"tokenizer": tokenizer_gpt4,
"token_cnt": get_token_num_gpt4,
},
"o3":{
"fn_with_ui": chatgpt_ui,
"fn_without_ui": chatgpt_noui,
"has_multimodal_capacity": True,
"endpoint": openai_endpoint,
"max_token": 828000,
"tokenizer": tokenizer_gpt4,
"token_cnt": get_token_num_gpt4,
"openai_disable_system_prompt": True,
"openai_disable_stream": True,
"openai_force_temperature_one": True,
},
"o4-mini":{
"fn_with_ui": chatgpt_ui,
"fn_without_ui": chatgpt_noui,
"has_multimodal_capacity": True,
"can_multi_thread": True,
"endpoint": openai_endpoint,
"max_token": 828000,
"tokenizer": tokenizer_gpt4,
"token_cnt": get_token_num_gpt4,
},
"gpt-4-turbo": {
"fn_with_ui": chatgpt_ui,
"fn_without_ui": chatgpt_noui,
@@ -824,7 +869,10 @@ if "qwen-local" in AVAIL_LLM_MODELS:
logger.error(trimmed_format_exc())
# -=-=-=-=-=-=- 阿里云百炼(通义)-在线模型 -=-=-=-=-=-=-
qwen_models = ["qwen-max-latest", "qwen-max-2025-01-25","qwen-max","qwen-turbo","qwen-plus","dashscope-deepseek-r1","dashscope-deepseek-v3"]
qwen_models = ["qwen-max-latest", "qwen-max-2025-01-25","qwen-max","qwen-turbo","qwen-plus",
"dashscope-deepseek-r1","dashscope-deepseek-v3",
"dashscope-qwen3-14b", "dashscope-qwen3-235b-a22b", "dashscope-qwen3-qwen3-32b",
]
if any(item in qwen_models for item in AVAIL_LLM_MODELS):
try:
from .bridge_qwen import predict_no_ui_long_connection as qwen_noui
@@ -893,6 +941,34 @@ if any(item in qwen_models for item in AVAIL_LLM_MODELS):
"max_token": 57344,
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
},
"dashscope-qwen3-14b": {
"fn_with_ui": qwen_ui,
"fn_without_ui": qwen_noui,
"enable_reasoning": True,
"can_multi_thread": True,
"endpoint": None,
"max_token": 129024,
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
},
"dashscope-qwen3-235b-a22b": {
"fn_with_ui": qwen_ui,
"fn_without_ui": qwen_noui,
"can_multi_thread": True,
"endpoint": None,
"max_token": 129024,
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
},
"dashscope-qwen3-32b": {
"fn_with_ui": qwen_ui,
"fn_without_ui": qwen_noui,
"can_multi_thread": True,
"endpoint": None,
"max_token": 129024,
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
}
})
except:

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@@ -1,4 +1,4 @@
https://public.agent-matrix.com/publish/gradio-3.32.13-py3-none-any.whl
https://public.agent-matrix.com/publish/gradio-3.32.14-py3-none-any.whl
fastapi==0.110
gradio-client==0.8
pypdf2==2.12.1

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@@ -82,6 +82,14 @@ def what_keys(keys):
return f"检测到: OpenAI Key {avail_key_list['OpenAI Key']} 个, Azure Key {avail_key_list['Azure Key']} 个, API2D Key {avail_key_list['API2D Key']}"
def is_o_family_for_openai(llm_model):
if not llm_model.startswith('o'):
return False
if llm_model in ['o1', 'o2', 'o3', 'o4', 'o5', 'o6', 'o7', 'o8']:
return True
if llm_model[:3] in ['o1-', 'o2-', 'o3-', 'o4-', 'o5-', 'o6-', 'o7-', 'o8-']:
return True
return False
def select_api_key(keys, llm_model):
import random
@@ -89,7 +97,7 @@ def select_api_key(keys, llm_model):
key_list = keys.split(',')
if llm_model.startswith('gpt-') or llm_model.startswith('chatgpt-') or \
llm_model.startswith('one-api-') or llm_model == 'o1' or llm_model.startswith('o1-'):
llm_model.startswith('one-api-') or is_o_family_for_openai(llm_model):
for k in key_list:
if is_openai_api_key(k): avail_key_list.append(k)

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@@ -1184,6 +1184,15 @@ async function clear_conversation(a, b, c) {
update_conversation_metadata();
let stopButton = document.getElementById("elem_stop");
stopButton.click();
// Save back to local storage
try {
const EVENT_NAME = "gptac_reset_btn_clicked";
window.dispatchEvent(
new CustomEvent(EVENT_NAME, {
detail: ""
})
);
} catch (e) {}
return reset_conversation(a, b);
}