feat(model): Add support for Azure openAI (eosphoros-ai#1137)

Co-authored-by: like <[email protected]>
Co-authored-by: csunny <[email protected]>

dbgpt/model/utils/chatgpt_utils.py

@@ -37,6 +37,7 @@ class OpenAIParameters:
     api_base: Optional[str] = None
     api_key: Optional[str] = None
     api_version: Optional[str] = None
+    api_azure_deployment: Optional[str] = None
     full_url: Optional[str] = None
     proxies: Optional["ProxiesTypes"] = None
 
@@ -71,6 +72,9 @@ def _initialize_openai_v1(init_params: OpenAIParameters):
     )
     api_version = api_version or os.getenv("OPENAI_API_VERSION")
 
+    api_azure_deployment = init_params.api_azure_deployment or os.getenv(
+        "API_AZURE_DEPLOYMENT"
+    )
     if not base_url and full_url:
         base_url = full_url.split("/chat/completions")[0]
 
@@ -81,11 +85,8 @@ def _initialize_openai_v1(init_params: OpenAIParameters):
     if base_url.endswith("/"):
         base_url = base_url[:-1]
 
-    openai_params = {
-        "api_key": api_key,
-        "base_url": base_url,
-    }
-    return openai_params, api_type, api_version
+    openai_params = {"api_key": api_key, "base_url": base_url}
+    return openai_params, api_type, api_version, api_azure_deployment
 
 
 def _initialize_openai(params: OpenAIParameters):
@@ -127,13 +128,16 @@ def _initialize_openai(params: OpenAIParameters):
 def _build_openai_client(init_params: OpenAIParameters) -> Tuple[str, ClientType]:
     import httpx
 
-    openai_params, api_type, api_version = _initialize_openai_v1(init_params)
+    openai_params, api_type, api_version, api_azure_deployment = _initialize_openai_v1(
+        init_params
+    )
     if api_type == "azure":
         from openai import AsyncAzureOpenAI
 
         return api_type, AsyncAzureOpenAI(
             api_key=openai_params["api_key"],
             api_version=api_version,
+            azure_deployment=api_azure_deployment,
             azure_endpoint=openai_params["base_url"],
             http_client=httpx.AsyncClient(proxies=init_params.proxies),
         )

docs/docs/installation/advanced_usage/More_proxyllms.md

@@ -0,0 +1,164 @@
+# ProxyLLMs
+DB-GPT can be deployed on servers with lower hardware through proxy LLMs, and now dbgpt support many proxy llms, such as OpenAI、Azure、Wenxin、Tongyi、Zhipu and so on.
+
+### Proxy model
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+<Tabs
+  defaultValue="openai"
+  values={[
+    {label: 'Open AI', value: 'openai'},
+    {label: 'Azure', value: 'Azure'},
+    {label: 'Qwen', value: 'qwen'},
+    {label: 'ChatGLM', value: 'chatglm'},
+    {label: 'WenXin', value: 'erniebot'},
+  ]}>
+  <TabItem value="openai" label="open ai">
+  Install dependencies
+
+```python
+pip install  -e ".[openai]"
+```
+
+Download embedding model
+
+```python
+cd DB-GPT
+mkdir models and cd models
+git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
+```
+
+Configure the proxy and modify LLM_MODEL, PROXY_API_URL and API_KEY in the `.env`file
+
+```python
+# .env
+LLM_MODEL=chatgpt_proxyllm
+PROXY_API_KEY={your-openai-sk}
+PROXY_SERVER_URL=https://api.openai.com/v1/chat/completions
+# If you use gpt-4
+# PROXYLLM_BACKEND=gpt-4
+```
+  </TabItem>
+
+  <TabItem value="Azure" label="Azure">
+  Install dependencies
+
+```python
+pip install  -e ".[openai]"
+```
+
+Download embedding model
+
+```python
+cd DB-GPT
+mkdir models and cd models
+git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese # change this to other embedding model if needed.
+```
+
+Configure the proxy and modify LLM_MODEL, PROXY_API_URL and API_KEY in the `.env`file
+
+```python
+# .env
+LLM_MODEL=proxyllm
+PROXY_API_KEY=xxxx
+PROXY_API_BASE=https://xxxxxx.openai.azure.com/
+PROXY_API_TYPE=azure
+PROXY_SERVER_URL=xxxx
+PROXY_API_VERSION=2023-05-15
+PROXYLLM_BACKEND=gpt-35-turbo
+API_AZURE_DEPLOYMENT=xxxx[deployment_name]
+```
+  </TabItem>
+
+  <TabItem value="qwen" label="通义千问">
+Install dependencies
+
+```python
+pip install dashscope
+```
+
+Download embedding model
+
+```python
+cd DB-GPT
+mkdir models and cd models
+
+# embedding model
+git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
+or
+git clone https://huggingface.co/moka-ai/m3e-large
+```
+
+Configure the proxy and modify LLM_MODEL, PROXY_API_URL and API_KEY in the `.env`file
+
+```python
+# .env
+# Aliyun tongyiqianwen
+LLM_MODEL=tongyi_proxyllm
+TONGYI_PROXY_API_KEY={your-tongyi-sk}
+PROXY_SERVER_URL={your_service_url}
+```
+  </TabItem>
+  <TabItem value="chatglm" label="chatglm" >
+Install dependencies
+
+```python
+pip install zhipuai
+```
+
+Download embedding model
+
+```python
+cd DB-GPT
+mkdir models and cd models
+
+# embedding model
+git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
+or
+git clone https://huggingface.co/moka-ai/m3e-large
+```
+
+Configure the proxy and modify LLM_MODEL, PROXY_API_URL and API_KEY in the `.env`file
+
+```python
+# .env
+LLM_MODEL=zhipu_proxyllm
+PROXY_SERVER_URL={your_service_url}
+ZHIPU_MODEL_VERSION={version}
+ZHIPU_PROXY_API_KEY={your-zhipu-sk}
+```
+  </TabItem>
+
+  <TabItem value="erniebot" label="文心一言" default>
+
+Download embedding model
+
+```python
+cd DB-GPT
+mkdir models and cd models
+
+# embedding model
+git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
+or
+git clone https://huggingface.co/moka-ai/m3e-large
+```
+
+Configure the proxy and modify LLM_MODEL, MODEL_VERSION, API_KEY and API_SECRET in the `.env`file
+
+```python
+# .env
+LLM_MODEL=wenxin_proxyllm
+WEN_XIN_MODEL_VERSION={version} # ERNIE-Bot or ERNIE-Bot-turbo
+WEN_XIN_API_KEY={your-wenxin-sk}
+WEN_XIN_API_SECRET={your-wenxin-sct}
+```
+  </TabItem>
+</Tabs>
+
+
+:::info note
+
+⚠️ Be careful not to overwrite the contents of the `.env` configuration file
+:::

docs/sidebars.js

@@ -162,8 +162,12 @@ const sidebars = {
         },
         {
           type: 'category',
-          label: 'Adanced Usage',
+          label: 'Advanced Usage',
           items: [
+            {
+              type: 'doc',
+              id: 'installation/advanced_usage/More_proxyllms',
+            },
             {
               type: 'doc',
               id: 'installation/advanced_usage/vLLM_inference',