| 名称 | 状态 |
|---|---|
| chatgpt-web | ✅ |
| 名称 | 描述 | 默认值 |
|---|---|---|
| OPENAI_API_KEY | 可以在Azure资源页面 资源管理 -> 密钥和终结点部分中找到此值。一个示例值是:3e5d77a442fe4ea7b356c66ad412358d | 无 |
| AZURE_OPENAI_ENDPOINT | 可以在Azure资源页面 资源管理 -> 密钥和终结点部分中找到此值。一个示例端点是:https://test.openai.azure.com/ | https://xxx.openai.azure.com/ |
| AZURE_OPENAI_DEPLOYMENT_ID | 此值对应于你在部署模型时选择的自定义名称。这个值可以在Azure OpenAI Studio 管理 -> 部署下找到。 | xxx |
| AZURE_OPENAI_API_VERSION | 可选，API 版本，遵循 YYYY-MM-DD格式。 支持的版本: 2023-03-15-preview 2022-12-01 2023-05-15 2023-06-01-preview |
2023-03-15-preview |
| 如下图所示，则: |
OPENAI_API_KEY = 3e5d77a442fe4ea7b356c66ad412358d
AZURE_OPENAI_ENDPOINT = https://cctest.openai.azure.com/
AZURE_OPENAI_DEPLOYMENT_ID = gpt35
| 密钥和终结点 | 部署名称 |
|---|---|
 |
 |
./gradlew build
## build single platform
docker build -t azure-openai-proxy .
## build multiple platform
docker buildx build -t xxx/azure-openai-proxy --platform linux/amd64,linux/arm64 . --push
docker run -d -p 8080:8080 \
--env AZURE_OPENAI_ENDPOINT=your_azure_endpoint \
--env AZURE_OPENAI_DEPLOYMENT_ID=your_azure_deployment_id \
--env AZURE_OPENAI_API_VERSION=your_azure_api_version \
rainboy2010/azure-openai-proxy:latestcurl --location --request POST 'localhost:8080/v1/chat/completions' \
-H 'Authorization: Bearer <Azure OpenAI Key>' \
-H 'Content-Type: application/json' \
-d '{
"max_tokens": 1000,
"model": "gpt-3.5-turbo",
"temperature": 0.8,
"top_p": 1,
"presence_penalty": 1,
"messages": [
{
"role": "user",
"content": "hello"
}
],
"stream": true
}'🔗 https://github.com/Chanzhaoyu/chatgpt-web
环境变量:
OPENAI_API_KEYAzure OpenAI API 密钥AZURE_OPENAI_ENDPOINTAzure OpenAI API 终结点AZURE_OPENAI_DEPLOYMENT_IDAzure OpenAI API 部署名称AZURE_OPENAI_API_VERSION可选，API版本，默认值为2023-03-15-previewAZURE_OPENAI_API_DELAY可选，流式输出每次延迟间隔，单位为毫秒，默认值为50
docker-compose.yml:
version: '3'
services:
chatgpt-web:
image: chenzhaoyu94/chatgpt-web
ports:
- 3002:3002
environment:
OPENAI_API_KEY: <Azure OpenAI API Key>
OPENAI_API_BASE_URL: http://azure-openai:8080
#模型名称，如gpt-3.5-turbo，gpt-3.5-turbo-16k，gpt-4，gpt-4-32k
OPENAI_API_MODEL: gpt-3.5-turbo
MAX_REQUEST_PER_HOUR: 1000
TIMEOUT_MS: 600000
depends_on:
- azure-openai
links:
- azure-openai
networks:
- chatgpt-ns
azure-openai:
image: rainboy2010/azure-openai-proxy
ports:
- 8080:8080
environment:
AZURE_OPENAI_ENDPOINT: <Azure OpenAI API Endpoint>
AZURE_OPENAI_DEPLOYMENT_ID: <Azure OpenAI API Deployment ID>
AZURE_OPENAI_API_VERSION: 2023-03-15-preview
#AZURE_OPENAI_API_VERSION: "2023-05-15"
AZURE_OPENAI_API_DELAY: 50
networks:
- chatgpt-ns
networks:
chatgpt-ns:
driver: bridge替换文件中的<Azure OpenAI API Key>，<Azure OpenAI API Endpoint>，<Azure OpenAI API Deployment ID>为具体的值
运行:
docker compose up -d