Awesome

azure-openai-proxy

Azure OpenAI Service Proxy, convert OpenAI official API request to Azure OpenAI API request, support all models, support GPT-4,Embeddings.

Eliminate the differences between OpenAI and Azure OpenAI, acting as a bridge connecting them, OpenAI ecosystem accesses Azure OpenAI at zero cost.

Verified support projects：

Name	Status
chatgpt-web	√
chatbox	√
langchain	√
ChatGPT-Next-Web	√

Get Start

Retrieve key and endpoint

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 or Azure OpenAI Studio	2024-02-01
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.

Format：

AZURE_OPENAI_MODEL_MAPPER: <OpenAI Model Name>=<Azure OpenAI deployment model name>

OpenAI Model Names: https://platform.openai.com/docs/models

Azure Deployment Names: Resource Management > Deployments

Example:

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.

API Key: This value can be found in the Keys & Endpoint section when examining your resource from the Azure portal. You can use either KEY1 or KEY2.

Proxy

HTTP Proxy

Env:

AZURE_OPENAI_HTTP_PROXY=http://127.0.0.1:1087

Socks5 Proxy

Env:

AZURE_OPENAI_SOCKS_PROXY=socks5://127.0.0.1:1080

Use Docker

# config by environment 
docker run -d -p 8080:8080 --name=azure-openai-proxy \
  --env AZURE_OPENAI_ENDPOINT=your_azure_endpoint \
  --env AZURE_OPENAI_API_VER=your_azure_api_ver \
  --env AZURE_OPENAI_MODEL_MAPPER=your_azure_deploy_mapper \
  stulzq/azure-openai-proxy:latest

# config by file
docker run -d -p 8080:8080 --name=azure-openai-proxy \
  -v /path/to/config.yaml:/app/config.yaml \
  stulzq/azure-openai-proxy:latest

Call API:

curl --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
}'

Use ChatGPT-Next-Web

chatgpt-web

docker-compose.yml

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: "2024-02-01"
    networks:
      - chatgpt-ns

networks:
  chatgpt-ns:
    driver: bridge

Use ChatGPT-Web

ChatGPT Web: https://github.com/Chanzhaoyu/chatgpt-web

chatgpt-web

Envs:

OPENAI_API_KEY Azure OpenAI API Key
AZURE_OPENAI_ENDPOINT Azure OpenAI API Endpoint
AZURE_OPENAI_MODEL_MAPPER Azure OpenAI API Deployment Name Mappings

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
      # OPENAI_API_MODEL: gpt-4
      AUTH_SECRET_KEY: ""
      MAX_REQUEST_PER_HOUR: 1000
      TIMEOUT_MS: 60000
    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_API_VER: "2024-02-01"
    networks:
      - chatgpt-ns

networks:
  chatgpt-ns:
    driver: bridge

Run:

docker compose up -d

Use Config File

The configuration file supports different endpoints and API keys for each model.

config.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: "2024-02-01"
  - deployment_name: "yyy"
    model_name: "gpt-3.5-turbo"
    endpoint: "https://yyy.openai.azure.com/"
    api_key: "11111111111"
    api_version: "2024-02-01"
  - deployment_name: "zzzz"
    model_name: "text-embedding-ada-002"
    endpoint: "https://zzzz.openai.azure.com/"
    api_key: "11111111111"
    api_version: "2024-02-01"

By default, it reads <workdir>/config.yaml, and you can pass the path through the parameter -c config.yaml.

docker-compose:

azure-openai:
    image: stulzq/azure-openai-proxy
    ports:
      - 8080:8080
    volumes:
      - /path/to/config.yaml:/app/config.yaml
    networks:
      - chatgpt-ns