feat: optimize read config file

README.md

@@ -20,6 +20,7 @@ Verified support projects：
 | [chatgpt-web](https://github.com/Chanzhaoyu/chatgpt-web) | √   |
 | [chatbox](https://github.com/Bin-Huang/chatbox)          | √    |
 | [langchain](https://python.langchain.com/en/latest/)     | √    |
+| [ChatGPT-Next-Web](https://github.com/Yidadaa/ChatGPT-Next-Web) | √ |
 
 ## Get Start
 
@@ -30,8 +31,8 @@ To successfully make a call against Azure OpenAI, you'll need the following:
 | Name                  | Desc                                                         | Default                                                  |
 | --------------------- | ------------------------------------------------------------ | ----------------------------- |
 | AZURE_OPENAI_ENDPOINT | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. Alternatively, you can find the value in **Azure OpenAI Studio** > **Playground** > **Code View**. An example endpoint is: `https://docs-test-001.openai.azure.com/`. | N |
-| AZURE_OPENAI_API_VER  | [See here](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/quickstart?tabs=command-line&pivots=rest-api) or Azure OpenAI Studio | 2023-03-15-preview |
+| AZURE_OPENAI_API_VER  | [See here](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/quickstart?tabs=command-line&pivots=rest-api) or Azure OpenAI Studio | 2023-07-01-preview |
-| AZURE_OPENAI_MODEL_MAPPER   | This value will correspond to the custom name you chose for your deployment when you deployed a model. This value can be found under **Resource Management** > **Deployments** in the Azure portal or alternatively under **Management** > **Deployments** in Azure OpenAI Studio. | gpt-3.5-turbo=gpt-35-turbo |
+| AZURE_OPENAI_MODEL_MAPPER   | This value will correspond to the custom name you chose for your deployment when you deployed a model. This value can be found under **Resource Management** > **Deployments** in the Azure portal or alternatively under **Management** > **Deployments** in Azure OpenAI Studio. | N |
 
 `AZURE_OPENAI_MODEL_MAPPER` is a mapping from Azure OpenAI deployed model names to official OpenAI model names. You can use commas to separate multiple mappings.
 
@@ -46,7 +47,7 @@ Azure Deployment Names: **Resource Management** > **Deployments**
 **Example:**
 
 ````yaml
-AZURE_OPENAI_MODEL_MAPPER: gpt-3.5-turbo=azure-gpt-35
+AZURE_OPENAI_MODEL_MAPPER: gpt-3.5-turbo=gpt-35-turbo
 ````
 
 ![Screenshot of the overview UI for an OpenAI Resource in the Azure portal with the endpoint & access keys location circled in red.](assets/images/endpoint.png)
@@ -135,7 +136,7 @@ services:
     environment:
       AZURE_OPENAI_ENDPOINT: <Azure OpenAI API Endpoint>
       AZURE_OPENAI_MODEL_MAPPER: <Azure OpenAI API Deployment Mapper>
-      AZURE_OPENAI_API_VER: 2023-03-15-preview
+      AZURE_OPENAI_API_VER: 2023-07-01-preview
     networks:
       - chatgpt-ns
 
@@ -150,3 +151,77 @@ Run:
 docker compose up -d
 ````
 
+### Use ChatGPT-Next-Web
+
+docker-compose.yml
+
+````yaml
+version: '3'
+
+services:
+  chatgpt-web:
+    image: yidadaa/chatgpt-next-web
+    ports:
+      - 3000:3000
+    environment:
+      OPENAI_API_KEY: <Azure OpenAI API Key>
+      BASE_URL: http://azure-openai:8080
+      CODE: ""
+      HIDE_USER_API_KEY: 1
+      HIDE_BALANCE_QUERY: 1
+    depends_on:
+      - azure-openai
+    links:
+      - azure-openai
+    networks:
+      - chatgpt-ns
+
+  azure-openai:
+    image: stulzq/azure-openai-proxy
+    ports:
+      - 8080:8080
+    environment:
+      AZURE_OPENAI_ENDPOINT: <Azure OpenAI API Endpoint>
+      AZURE_OPENAI_MODEL_MAPPER: <Azure OpenAI API Deployment Mapper>
+      # AZURE_OPENAI_MODEL_MAPPER: gpt-4=gpt-4,gpt-3.5-turbo=gpt-35-turbo
+      AZURE_OPENAI_API_VER: 2023-07-01-preview
+    networks:
+      - chatgpt-ns
+
+networks:
+  chatgpt-ns:
+    driver: bridge
+````
+
+### Use Config File
+
+The configuration file supports different endpoints and API keys for each model.
+
+
+
+config.yaml
+
+````yaml
+api_base: "/v1"
+deployment_config:
+  - deployment_name: "xxx"
+    model_name: "text-davinci-003"
+    endpoint: "https://xxx-east-us.openai.azure.com/"
+    api_key: "11111111111"
+    api_version: "2023-03-15-preview"
+  - deployment_name: "yyy"
+    model_name: "gpt-3.5-turbo"
+    endpoint: "https://yyy.openai.azure.com/"
+    api_key: "11111111111"
+    api_version: "2023-03-15-preview"
+  - deployment_name: "zzzz"
+    model_name: "text-embedding-ada-002"
+    endpoint: "https://zzzz.openai.azure.com/"
+    api_key: "11111111111"
+    api_version: "2023-03-15-preview"
+````
+
+
+
+By default, it reads `<workdir>/config.yaml`, and you can pass the path through the parameter `-c config.yaml`.
+

azure/init.go

@@ -7,6 +7,7 @@ import (
 	"github.com/stulzq/azure-openai-proxy/util"
 	"log"
 	"net/url"
+	"path/filepath"
 	"strings"
 )
 
@@ -32,7 +33,7 @@ func Init() error {
 	openaiModelMapper = viper.GetString(constant.ENV_AZURE_OPENAI_MODEL_MAPPER)
 	if endpoint != "" && openaiModelMapper != "" {
 		if apiVersion == "" {
-			apiVersion = "2023-03-15-preview"
+			apiVersion = "2023-07-01-preview"
 		}
 		InitFromEnvironmentVariables(apiVersion, endpoint, openaiModelMapper)
 	} else {
@@ -92,10 +93,16 @@ func InitFromEnvironmentVariables(apiVersion, endpoint, openaiModelMapper string
 
 func InitFromConfigFile() error {
 	log.Println("Init from config file")
-	workDir := util.GetWorkdir()
+
-	viper.SetConfigName("config")
+	configFile := viper.GetString("configFile")
+	if configFile == "" {
+		configFile = filepath.Join(util.GetWorkdir(), "config.yaml")
+	} else if !filepath.IsAbs(configFile) {
+		configFile = filepath.Join(util.GetWorkdir(), configFile)
+	}
+
 	viper.SetConfigType("yaml")
-	viper.AddConfigPath(fmt.Sprintf("%s/config", workDir))
+	viper.SetConfigFile(configFile)
 	if err := viper.ReadInConfig(); err != nil {
 		log.Printf("read config file error: %+v\n", err)
 		return err
@@ -108,5 +115,7 @@ func InitFromConfigFile() error {
 	for _, configItem := range C.DeploymentConfig {
 		ModelDeploymentConfig[configItem.ModelName] = configItem
 	}
+
+	log.Println("read config file success")
 	return nil
 }

cmd/main.go

@@ -2,8 +2,8 @@ package main
 
 import (
 	"context"
-	"flag"
 	"fmt"
+	"github.com/spf13/pflag"
 	"github.com/spf13/viper"
 	"github.com/stulzq/azure-openai-proxy/azure"
 	"log"
@@ -26,7 +26,11 @@ func main() {
 	viper.AutomaticEnv()
 	parseFlag()
 
-	azure.Init()
+	err := azure.Init()
+	if err != nil {
+		panic(err)
+	}
+
 	gin.SetMode(gin.ReleaseMode)
 	r := gin.Default()
 	registerRoute(r)
@@ -59,9 +63,13 @@ func runServer(srv *http.Server) {
 }
 
 func parseFlag() {
-	ver := flag.Bool("v", false, "version")
+	pflag.StringP("configFile", "c", "config.yaml", "config file")
-	flag.Parse()
+	pflag.BoolP("version", "v", false, "version information")
-	if *ver {
+	pflag.Parse()
+	if err := viper.BindPFlags(pflag.CommandLine); err != nil {
+		panic(err)
+	}
+	if viper.GetBool("v") {
 		fmt.Println("version:", version)
 		fmt.Println("buildDate:", buildDate)
 		fmt.Println("gitCommit:", gitCommit)

config/config.example.yaml

@@ -0,0 +1,17 @@
+api_base: "/v1"
+deployment_config:
+  - deployment_name: "xxx"
+    model_name: "text-davinci-003"
+    endpoint: "https://xxx-east-us.openai.azure.com/"
+    api_key: "11111111111"
+    api_version: "2023-03-15-preview"
+  - deployment_name: "yyy"
+    model_name: "gpt-3.5-turbo"
+    endpoint: "https://yyy.openai.azure.com/"
+    api_key: "11111111111"
+    api_version: "2023-03-15-preview"
+  - deployment_name: "zzzz"
+    model_name: "text-embedding-ada-002"
+    endpoint: "https://zzzz.openai.azure.com/"
+    api_key: "11111111111"
+    api_version: "2023-03-15-preview"