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...

18 Commits

Author SHA1 Message Date
Junyan Qin
5311e78776 chore: release v3.4.7.1 2025-02-12 15:16:02 +08:00
Junyan Qin
35721c1340 doc(README): update comment of aliyun bailian 2025-02-12 13:47:01 +08:00
Junyan Qin (Chin)
a76df22cab Merge pull request #1066 from lyg09270/master
阿里云百炼平台通用模型和自定义模型应用API支持
2025-02-12 13:44:19 +08:00
Junyan Qin
a90f996b24 chore: related configuration of dashscope runner 2025-02-12 13:33:07 +08:00
Junyan Qin (Chin)
c96d4456ea Merge pull request #1035 from wanjiaju3108/master
阿里云大模型服务适配
2025-02-12 11:27:05 +08:00
Junyan Qin (Chin)
d1df6d993f Merge branch 'master' into master 2025-02-12 11:26:35 +08:00
Junyan Qin
191f8866ae chore(bailian): related configuration 2025-02-12 11:25:28 +08:00
Junyan Qin
e17da4e2ee chore: remove models of MaaS from llm-models.json 2025-02-12 11:11:07 +08:00
Junyan Qin
e89c6b68c9 fix: f the stream resp 2025-02-11 21:19:15 +08:00
Civic_Crab
51cca31f04 去除qwen请求器 2025-02-11 18:52:27 +08:00
Civic_Crab
e51950aa75 修改llm-model.json,去除舍弃的qwen功能 2025-02-11 18:50:56 +08:00
Civic_Crab
4c344e0636 阿里云百炼平台应用API支持 2025-02-11 18:48:21 +08:00
Civic_Crab
90261d1f55 Merge branch 'master' of https://github.com/lyg09270/LangBot 2025-02-11 18:40:13 +08:00
Civic_Crab
9e718a2e8a 新增dashscope依赖 2025-02-09 06:39:39 +08:00
Civic_Crab
cbec2f6d02 新增dashscope依赖 2025-02-09 06:37:55 +08:00
Civic_Crab
52eb37d13d 支持阿里云百炼的通用模型和自定义大模型应用 2025-02-09 06:32:49 +08:00
wanjiaju
8e9f43885a 阿里云百炼适配
新增阿里云请求器配置、阿里云模型配置、阿里云令牌配置

新增硅基模型配置
2025-02-08 10:30:19 +08:00
wanjiaju
9eefbcb6f2 阿里云百炼适配
新增阿里云请求器配置、阿里云模型配置、阿里云令牌配置

新增硅基模型配置
2025-02-08 10:27:19 +08:00
16 changed files with 442 additions and 9 deletions

View File

@@ -111,7 +111,7 @@
| [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型运行平台 | | [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型运行平台 |
| [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型接口聚合平台 | | [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型接口聚合平台 |
| [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 | | [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 |
| [阿里云百炼](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台 | | [阿里云百炼](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台, LLMOps 平台 |
## 😘 社区贡献 ## 😘 社区贡献

View File

@@ -110,7 +110,7 @@ Directly use the released version to run, see the [Manual Deployment](https://do
| [LMStudio](https://lmstudio.ai/) | ✅ | Local LLM running platform | | [LMStudio](https://lmstudio.ai/) | ✅ | Local LLM running platform |
| [GiteeAI](https://ai.gitee.com/) | ✅ | LLM interface gateway(MaaS) | | [GiteeAI](https://ai.gitee.com/) | ✅ | LLM interface gateway(MaaS) |
| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLM gateway(MaaS) | | [SiliconFlow](https://siliconflow.cn/) | ✅ | LLM gateway(MaaS) |
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM gateway(MaaS) | | [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM gateway(MaaS), LLMOps platform |
## 🤝 Community Contribution ## 🤝 Community Contribution

View File

@@ -108,7 +108,7 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
| [LMStudio](https://lmstudio.ai/) | ✅ | ローカルLLM実行プラットフォーム | | [LMStudio](https://lmstudio.ai/) | ✅ | ローカルLLM実行プラットフォーム |
| [GiteeAI](https://ai.gitee.com/) | ✅ | LLMインターフェースゲートウェイ(MaaS) | | [GiteeAI](https://ai.gitee.com/) | ✅ | LLMインターフェースゲートウェイ(MaaS) |
| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLMゲートウェイ(MaaS) | | [SiliconFlow](https://siliconflow.cn/) | ✅ | LLMゲートウェイ(MaaS) |
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLMゲートウェイ(MaaS) | | [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLMゲートウェイ(MaaS), LLMOpsプラットフォーム |
## 🤝 コミュニティ貢献 ## 🤝 コミュニティ貢献

View File

@@ -29,7 +29,8 @@ required_deps = {
"lark_oapi": "lark-oapi", "lark_oapi": "lark-oapi",
"discord": "discord.py", "discord": "discord.py",
"cryptography": "cryptography", "cryptography": "cryptography",
"gewechat_client": "gewechat-client" "gewechat_client": "gewechat-client",
"dashscope": "dashscope",
} }

View File

@@ -0,0 +1,27 @@
from __future__ import annotations
from .. import migration
@migration.migration_class("bailian-requester-config", 28)
class BailianRequesterConfigMigration(migration.Migration):
"""迁移"""
async def need_migrate(self) -> bool:
"""判断当前环境是否需要运行此迁移"""
return 'bailian-chat-completions' not in self.ap.provider_cfg.data['requester']
async def run(self):
"""执行迁移"""
self.ap.provider_cfg.data['keys']['bailian'] = [
"sk-xxxxxxx"
]
self.ap.provider_cfg.data['requester']['bailian-chat-completions'] = {
"base-url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
"args": {},
"timeout": 120
}
await self.ap.provider_cfg.dump_config()

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@@ -0,0 +1,33 @@
from __future__ import annotations
from .. import migration
@migration.migration_class("dashscope-app-api-config", 29)
class DashscopeAppAPICfgMigration(migration.Migration):
"""迁移"""
async def need_migrate(self) -> bool:
"""判断当前环境是否需要运行此迁移"""
return 'dashscope-app-api' not in self.ap.provider_cfg.data
async def run(self):
"""执行迁移"""
self.ap.provider_cfg.data['dashscope-app-api'] = {
"app-type": "agent",
"api-key": "sk-1234567890",
"agent": {
"app-id": "Your_app_id",
"references_quote": "参考资料来自:"
},
"workflow": {
"app-id": "Your_app_id",
"references_quote": "参考资料来自:",
"biz_params": {
"city": "北京",
"date": "2023-08-10"
}
}
}
await self.ap.provider_cfg.dump_config()

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@@ -9,7 +9,10 @@ from ..migrations import m005_deepseek_cfg_completion, m006_vision_config, m007_
from ..migrations import m010_ollama_requester_config, m011_command_prefix_config, m012_runner_config, m013_http_api_config, m014_force_delay_config from ..migrations import m010_ollama_requester_config, m011_command_prefix_config, m012_runner_config, m013_http_api_config, m014_force_delay_config
from ..migrations import m015_gitee_ai_config, m016_dify_service_api, m017_dify_api_timeout_params, m018_xai_config, m019_zhipuai_config from ..migrations import m015_gitee_ai_config, m016_dify_service_api, m017_dify_api_timeout_params, m018_xai_config, m019_zhipuai_config
from ..migrations import m020_wecom_config, m021_lark_config, m022_lmstudio_config, m023_siliconflow_config, m024_discord_config, m025_gewechat_config from ..migrations import m020_wecom_config, m021_lark_config, m022_lmstudio_config, m023_siliconflow_config, m024_discord_config, m025_gewechat_config
from ..migrations import m026_qqofficial_config, m027_wx_official_account_config from ..migrations import m026_qqofficial_config, m027_wx_official_account_config, m028_aliyun_requester_config
from ..migrations import m029_dashscope_app_api_config
@stage.stage_class("MigrationStage") @stage.stage_class("MigrationStage")
class MigrationStage(stage.BootingStage): class MigrationStage(stage.BootingStage):

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@@ -6,7 +6,7 @@ from . import entities, requester
from ...core import app from ...core import app
from . import token from . import token
from .requesters import chatcmpl, anthropicmsgs, moonshotchatcmpl, deepseekchatcmpl, ollamachat, giteeaichatcmpl, xaichatcmpl, zhipuaichatcmpl, lmstudiochatcmpl, siliconflowchatcmpl from .requesters import bailianchatcmpl, chatcmpl, anthropicmsgs, moonshotchatcmpl, deepseekchatcmpl, ollamachat, giteeaichatcmpl, xaichatcmpl, zhipuaichatcmpl, lmstudiochatcmpl, siliconflowchatcmpl
FETCH_MODEL_LIST_URL = "https://api.qchatgpt.rockchin.top/api/v2/fetch/model_list" FETCH_MODEL_LIST_URL = "https://api.qchatgpt.rockchin.top/api/v2/fetch/model_list"

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@@ -0,0 +1,21 @@
from __future__ import annotations
import openai
from . import chatcmpl
from .. import requester
from ....core import app
@requester.requester_class("bailian-chat-completions")
class BailianChatCompletions(chatcmpl.OpenAIChatCompletions):
"""阿里云百炼大模型平台 ChatCompletion API 请求器"""
client: openai.AsyncClient
requester_cfg: dict
def __init__(self, ap: app.Application):
self.ap = ap
self.requester_cfg = self.ap.provider_cfg.data['requester']['bailian-chat-completions']

View File

@@ -61,7 +61,7 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
async for chunk in resp_gen: async for chunk in resp_gen:
# print(chunk) # print(chunk)
if not chunk: if not chunk or not chunk.id or not chunk.choices or not chunk.choices[0] or not chunk.choices[0].delta:
continue continue
if chunk.choices[0].delta.content is not None: if chunk.choices[0].delta.content is not None:
@@ -76,6 +76,9 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
else: else:
tool_calls.append(tool_call) tool_calls.append(tool_call)
if chunk.choices[0].finish_reason is not None:
break
real_tool_calls = [] real_tool_calls = []
for tc in tool_calls: for tc in tool_calls:

View File

@@ -5,6 +5,7 @@ from ..core import app
from .runners import localagent from .runners import localagent
from .runners import difysvapi from .runners import difysvapi
from .runners import dashscopeapi
class RunnerManager: class RunnerManager:
@@ -22,6 +23,8 @@ class RunnerManager:
self.using_runner = r(self.ap) self.using_runner = r(self.ap)
await self.using_runner.initialize() await self.using_runner.initialize()
break break
else:
raise ValueError(f"未找到请求运行器: {self.ap.provider_cfg.data['runner']}")
def get_runner(self) -> runner.RequestRunner: def get_runner(self) -> runner.RequestRunner:
return self.using_runner return self.using_runner

View File

@@ -0,0 +1,236 @@
from __future__ import annotations
import typing
import json
import base64
import re
import dashscope
from .. import runner
from ...core import entities as core_entities
from .. import entities as llm_entities
from ...utils import image
class DashscopeAPIError(Exception):
"""Dashscope API 请求失败"""
def __init__(self, message: str):
self.message = message
super().__init__(self.message)
@runner.runner_class("dashscope-app-api")
class DashScopeAPIRunner(runner.RequestRunner):
"阿里云百炼DashsscopeAPI对话请求器"
# 运行器内部使用的配置
app_type: str # 应用类型
app_id: str # 应用ID
api_key: str # API Key
references_quote: str # 引用资料提示当展示回答来源功能开启时这个变量会作为引用资料名前的提示可在provider.json中配置
biz_params: dict = {} # 工作流应用参数(仅在工作流应用中生效)
async def initialize(self):
"""初始化"""
valid_app_types = ["agent", "workflow"]
self.app_type = self.ap.provider_cfg.data["dashscope-app-api"]["app-type"]
#检查配置文件中使用的应用类型是否支持
if (self.app_type not in valid_app_types):
raise DashscopeAPIError(
f"不支持的 Dashscope 应用类型: {self.app_type}"
)
#初始化Dashscope 参数配置
self.app_id = self.ap.provider_cfg.data["dashscope-app-api"][self.app_type]["app-id"]
self.api_key = self.ap.provider_cfg.data["dashscope-app-api"]["api-key"]
self.references_quote = self.ap.provider_cfg.data["dashscope-app-api"][self.app_type]["references_quote"]
self.biz_params = self.ap.provider_cfg.data["dashscope-app-api"]["workflow"]["biz_params"]
def _replace_references(self, text, references_dict):
"""阿里云百炼平台的自定义应用支持资料引用,此函数可以将引用标签替换为参考资料"""
# 匹配 <ref>[index_id]</ref> 形式的字符串
pattern = re.compile(r'<ref>\[(.*?)\]</ref>')
def replacement(match):
# 获取引用编号
ref_key = match.group(1)
if ref_key in references_dict:
# 如果有对应的参考资料按照provider.json中的reference_quote返回提示来自哪个参考资料文件
return f"({self.references_quote} {references_dict[ref_key]})"
else:
# 如果没有对应的参考资料,保留原样
return match.group(0)
# 使用 re.sub() 进行替换
return pattern.sub(replacement, text)
async def _preprocess_user_message(
self, query: core_entities.Query
) -> tuple[str, list[str]]:
"""预处理用户消息,提取纯文本,阿里云提供的上传文件方法过于复杂,暂不支持上传文件(包括图片)"""
plain_text = ""
image_ids = []
if isinstance(query.user_message.content, list):
for ce in query.user_message.content:
if ce.type == "text":
plain_text += ce.text
# 暂时不支持上传图片,保留代码以便后续扩展
# elif ce.type == "image_base64":
# image_b64, image_format = await image.extract_b64_and_format(ce.image_base64)
# file_bytes = base64.b64decode(image_b64)
# file = ("img.png", file_bytes, f"image/{image_format}")
# file_upload_resp = await self.dify_client.upload_file(
# file,
# f"{query.session.launcher_type.value}_{query.session.launcher_id}",
# )
# image_id = file_upload_resp["id"]
# image_ids.append(image_id)
elif isinstance(query.user_message.content, str):
plain_text = query.user_message.content
return plain_text, image_ids
async def _agent_messages(
self, query: core_entities.Query
) -> typing.AsyncGenerator[llm_entities.Message, None]:
"""Dashscope 智能体对话请求"""
#局部变量
chunk = None # 流式传输的块
pending_content = "" # 待处理的Agent输出内容
references_dict = {} # 用于存储引用编号和对应的参考资料
plain_text = "" # 用户输入的纯文本信息
image_ids = [] # 用户输入的图片ID列表 (暂不支持)
plain_text, image_ids = await self._preprocess_user_message(query)
#发送对话请求
response = dashscope.Application.call(
api_key=self.api_key, # 智能体应用的API Key
app_id=self.app_id, # 智能体应用的ID
prompt=plain_text, # 用户输入的文本信息
stream=True, # 流式输出
incremental_output=True, # 增量输出,使用流式输出需要开启增量输出
session_id=query.session.using_conversation.uuid, # 会话ID用于多轮对话
# rag_options={ # 主要用于文件交互,暂不支持
# "session_file_ids": ["FILE_ID1"], # FILE_ID1 替换为实际的临时文件ID,逗号隔开多个
# }
)
for chunk in response:
if chunk.get("status_code") != 200:
raise DashscopeAPIError(
f"Dashscope API 请求失败: status_code={chunk.get('status_code')} message={chunk.get('message')} request_id={chunk.get('request_id')} "
)
if not chunk:
continue
#获取流式传输的output
stream_output = chunk.get("output", {})
if stream_output.get("text") is not None:
pending_content += stream_output.get("text")
#保存当前会话的session_id用于下次对话的语境
query.session.using_conversation.uuid = stream_output.get("session_id")
#获取模型传出的参考资料列表
references_dict_list = stream_output.get("doc_references", [])
#从模型传出的参考资料信息中提取用于替换的字典
if references_dict_list is not None:
for doc in references_dict_list:
if doc.get("index_id") is not None:
references_dict[doc.get("index_id")] = doc.get("doc_name")
#将参考资料替换到文本中
pending_content = self._replace_references(pending_content, references_dict)
yield llm_entities.Message(
role="assistant",
content=pending_content,
)
async def _workflow_messages(
self, query: core_entities.Query
) -> typing.AsyncGenerator[llm_entities.Message, None]:
"""Dashscope 工作流对话请求"""
#局部变量
chunk = None # 流式传输的块
pending_content = "" # 待处理的Agent输出内容
references_dict = {} # 用于存储引用编号和对应的参考资料
plain_text = "" # 用户输入的纯文本信息
image_ids = [] # 用户输入的图片ID列表 (暂不支持)
plain_text, image_ids = await self._preprocess_user_message(query)
#发送对话请求
response = dashscope.Application.call(
api_key=self.api_key, # 智能体应用的API Key
app_id=self.app_id, # 智能体应用的ID
prompt=plain_text, # 用户输入的文本信息
stream=True, # 流式输出
incremental_output=True, # 增量输出,使用流式输出需要开启增量输出
session_id=query.session.using_conversation.uuid, # 会话ID用于多轮对话
biz_params=self.biz_params # 工作流应用的自定义输入参数传递
# rag_options={ # 主要用于文件交互,暂不支持
# "session_file_ids": ["FILE_ID1"], # FILE_ID1 替换为实际的临时文件ID,逗号隔开多个
# }
)
#处理API返回的流式输出
for chunk in response:
if chunk.get("status_code") != 200:
raise DashscopeAPIError(
f"Dashscope API 请求失败: status_code={chunk.get('status_code')} message={chunk.get('message')} request_id={chunk.get('request_id')} "
)
if not chunk:
continue
#获取流式传输的output
stream_output = chunk.get("output", {})
if stream_output.get("text") is not None:
pending_content += stream_output.get("text")
#保存当前会话的session_id用于下次对话的语境
query.session.using_conversation.uuid = stream_output.get("session_id")
#获取模型传出的参考资料列表
references_dict_list = stream_output.get("doc_references", [])
#从模型传出的参考资料信息中提取用于替换的字典
if references_dict_list is not None:
for doc in references_dict_list:
if doc.get("index_id") is not None:
references_dict[doc.get("index_id")] = doc.get("doc_name")
#将参考资料替换到文本中
pending_content = self._replace_references(pending_content, references_dict)
yield llm_entities.Message(
role="assistant",
content=pending_content,
)
async def run(
self, query: core_entities.Query
) -> typing.AsyncGenerator[llm_entities.Message, None]:
"""运行"""
if self.ap.provider_cfg.data["dashscope-app-api"]["app-type"] == "agent":
async for msg in self._agent_messages(query):
yield msg
elif self.ap.provider_cfg.data["dashscope-app-api"]["app-type"] == "workflow":
async for msg in self._workflow_messages(query):
yield msg
else:
raise DashscopeAPIError(
f"不支持的 Dashscope 应用类型: {self.ap.provider_cfg.data['dashscope-app-api']['app-type']}"
)

View File

@@ -1,4 +1,4 @@
semantic_version = "v3.4.7" semantic_version = "v3.4.7.1"
debug_mode = False debug_mode = False

View File

@@ -29,6 +29,7 @@ lark-oapi
discord.py discord.py
cryptography cryptography
gewechat-client gewechat-client
dashscope
# indirect # indirect
taskgroup==0.0.0a4 taskgroup==0.0.0a4

View File

@@ -25,6 +25,9 @@
], ],
"siliconflow": [ "siliconflow": [
"xxxxxxx" "xxxxxxx"
],
"bailian": [
"sk-xxxxxxx"
] ]
}, },
"requester": { "requester": {
@@ -79,6 +82,11 @@
"base-url": "https://api.siliconflow.cn/v1", "base-url": "https://api.siliconflow.cn/v1",
"args": {}, "args": {},
"timeout": 120 "timeout": 120
},
"bailian-chat-completions": {
"args": {},
"base-url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
"timeout": 120
} }
}, },
"model": "gpt-4o", "model": "gpt-4o",
@@ -103,5 +111,21 @@
"output-key": "summary", "output-key": "summary",
"timeout": 120 "timeout": 120
} }
},
"dashscope-app-api": {
"app-type": "agent",
"api-key": "sk-1234567890",
"agent": {
"app-id": "Your_app_id",
"references_quote": "参考资料来自:"
},
"workflow": {
"app-id": "Your_app_id",
"references_quote": "参考资料来自:",
"biz_params": {
"city": "北京",
"date": "2023-08-10"
}
}
} }
} }

View File

@@ -82,6 +82,14 @@
"type": "string" "type": "string"
}, },
"default": [] "default": []
},
"bailian": {
"type": "array",
"title": "阿里云百炼大模型平台 API 密钥",
"items": {
"type": "string"
},
"default": []
} }
} }
}, },
@@ -288,6 +296,26 @@
"default": 120 "default": 120
} }
} }
},
"bailian-chat-completions": {
"type": "object",
"title": "阿里云百炼大模型平台 API 请求配置",
"description": "仅可编辑 URL 和 超时时间,额外请求参数不支持可视化编辑,请到编辑器编辑",
"properties": {
"base-url": {
"type": "string",
"title": "API URL"
},
"args": {
"type": "object",
"default": {}
},
"timeout": {
"type": "number",
"title": "API 请求超时时间",
"default": 120
}
}
} }
} }
}, },
@@ -397,6 +425,59 @@
} }
} }
} }
},
"dashscope-app-api": {
"type": "object",
"title": "阿里百炼平台自建应用 API 配置",
"properties": {
"app-type": {
"type": "string",
"title": "应用类型",
"description": "支持 workflow 和 agentworkflow智能体编排agent普通智能体请填写下方对应的应用类型 API 参数",
"enum": ["workflow", "agent"],
"default": "agent"
},
"api-key": {
"type": "string",
"title": "API 密钥"
},
"agent": {
"type": "object",
"title": "Agent API 参数",
"properties": {
"app-id": {
"type": "string",
"title": "应用 ID"
},
"references_quote": {
"type": "string",
"title": "参考资料引用",
"description": "设置参考资料引用,用于从 Dashscope App API 结束节点返回的 JSON 数据中提取引用内容",
"default": "参考资料来自:"
}
}
},
"workflow": {
"type": "object",
"title": "工作流 API 参数",
"properties": {
"app-id": {
"type": "string",
"title": "应用 ID"
},
"references_quote": {
"type": "string",
"title": "参考资料引用",
"default": "参考资料来自:"
},
"biz_params": {
"type": "object",
"title": "传入参数",
"default": {}
}
}
}
}
} }
} }
} }