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Suno-API/README.md

Suno API

中文

Good news

I provide the Suno AI API, no deployment is required, no subscription to suno is required. Lower price, more convenient to use the suno API.

Disclaimer

  • This project is released on GitHub under the MIT license, free and open-source for educational purposes.

Supported Features

  • Suno API supports Inspiration Mode, Custom Mode, and Continuation.
  • Provides standardized services compatible with OpenAI's interface format, supporting both streaming and non-streaming output.
  • Automatically maintains and keeps alive user account information once provided.
  • Persists task records, allowing recovery of tasks even after a program interruption.
  • Supports custom formatting of OpenAI Chat responses, based on Go Template syntax.
  • Compatible with front-end projects like chat-next-web.
  • Simplifies deployment process, supports docker-compose and docker.
  • Supput New API Docs

API Docs

http://localhost:8000/swagger/index.html

Deployment

Configuration

Initially obtain these from the browser; later stages will maintain automatic vitality.

cookie

Env Environment Variables

Environment Variable Description Default Value
SESSION_ID Session ID from the image above None
COOKIE Cookie from the image above None
BASE_URL SUNO official API URL https://studio-api.suno.ai
PROXY HTTP Proxy None
SECRET_TOKEN Suno API seurity http header Bearer token None
SQL_DSN MySQL DSN, if empty, SQLite is used None
PORT Port to expose 8000
ROTATE_LOGS Whether to rotate logs daily Yes
LOG_DIR Path for log output ./logs
DEBUG Whether to enable debug logs No
PPROF Enable Pprof for performance analysis, uses port 8005 No
CHAT_OPENAI_BASE OpenAI API endpoint https://api.openai.com
CHAT_OPENAI_KEY OpenAI API key sk-xxxxx
CHAT_OPENAI_MODEL Default model gpt-4o
CHAT_TIME_OUT Chat request timeout 600 seconds
CHAT_TEMPLATE_DIR Directory for chat templates ./template

Docker Deployment

Step-by-step guide on how to run a Docker container with specific environment variables and port mappings. Sensitive details like SQL names, passwords, and IP addresses are replaced with placeholders for this guide.

# Deployment command using MySQL, modify the database connection parameters as needed.
docker run --name suno-api -d -p 8000:8000 \
-e SESSION_ID=xxxx \
-e COOKIE=xxxx  \
-e CHAT_OPENAI_BASE=https://api.openai.com  \
-e CHAT_OPENAI_KEY=sk-xxxxx  \
 sunoapigo/suno-api

docker-compose.yml

version: '3.2'

services:
  sunoapi:
    image: sunoapigo/suno-api:latest
    container_name: sunoapi
    restart: always
    ports:
      - "8000:8000"
    volumes:
      - ./logs:/logs
      - ./template:/template
    environment:
      - PORT=8000
      - SECRET_TOKEN=123456
      - SQL_DSN=root:123456@tcp(localhost:3306)/sunoapi
      - TZ=Asia/Shanghai
      - ROTATE_LOGS=false
      - PPROF=false
      - DEBUG=false
      - CHAT_TEMPLATE_DIR=./template
      - CHAT_OPENAI_MODEL=gpt-4o
      - CHAT_OPENAI_BASE=https://one-api.bltcy.top
      - CHAT_OPENAI_KEY=sk-

Customizing OpenAI Chat Response Format

Edit the suno.yaml in ./template using Go template syntax.

  • chat_stream_submit: Output format when a streaming task is successfully submitted.
  • chat_stream_tick: Output format for each progress check during streaming.
  • chat_resp: Output format upon completion of streaming.

References

License

MIT © Suno API

Support

zanshangcode.jpg

This project is open-source on GitHub under the MIT license and is free of charge. If you find this project helpful, please give it a star and share it. Thank you for your support!

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