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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 | √ |
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
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.
HTTP Proxy
Env:
AZURE_OPENAI_HTTP_PROXY=http://127.0.0.1:1087Socks5 Proxy
Env:
AZURE_OPENAI_SOCKS_PROXY=socks5://127.0.0.1:1080# 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:latestCall 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
}'
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: bridgeChatGPT Web: https://github.com/Chanzhaoyu/chatgpt-web
Envs:
OPENAI_API_KEYAzure OpenAI API KeyAZURE_OPENAI_ENDPOINTAzure OpenAI API EndpointAZURE_OPENAI_MODEL_MAPPERAzure 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: bridgeRun:
docker compose up -dThe 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
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