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new-api

New API

🍥 Next-Generation LLM Gateway and AI Asset Management System

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QuantumNous%2Fnew-api | Trendshift
Featured|HelloGitHubNew API - All-in-one AI asset management gateway. | Product Hunt

Quick StartKey FeaturesDeploymentDocumentationHelp

📝 Project Description

Important

  • This project is intended solely for lawful and authorized AI API gateway, organization-level authentication, multi-model management, usage analytics, cost accounting, and private deployment scenarios.
  • Users must lawfully obtain upstream API keys, accounts, model services, and interface permissions, and must comply with upstream terms of service and applicable laws and regulations.
  • Users should ensure their use complies with upstream terms of service and applicable laws and regulations.
  • When providing generative AI services to the public, users should comply with applicable regulatory requirements and fulfill all filing, licensing, content safety, real-name verification, log retention, tax, and upstream authorization obligations required by their jurisdiction.

🤝 Trusted Partners

No particular order

Cherry StudioAion UIPeking UniversityUCloudAlibaba CloudIO.NET


🙏 Special Thanks

JetBrains Logo

Thanks to JetBrains for providing free open-source development license for this project


🚀 Quick Start

Using Docker Compose (Recommended)

# Clone the project
git clone https://github.com/QuantumNous/new-api.git
cd new-api
# Edit docker-compose.yml configuration
nano docker-compose.yml
# Start the service
docker-compose up -d
Using Docker Commands
# Pull the latest image
docker pull calciumion/new-api:latest
# Using SQLite (default)
docker run --name new-api -d --restart always \
-p 3000:3000 \
-e TZ=Asia/Shanghai \
-v ./data:/data \
calciumion/new-api:latest
# Using MySQL
docker run --name new-api -d --restart always \
-p 3000:3000 \
-e SQL_DSN="root:123456@tcp(localhost:3306)/oneapi" \
-e TZ=Asia/Shanghai \
-v ./data:/data \
calciumion/new-api:latest

💡 Tip:-v ./data:/data will save data in the data folder of the current directory, you can also change it to an absolute path like -v /your/custom/path:/data


🎉 After deployment is complete, visit http://localhost:3000 to start using!

Warning

When operating this project as a public generative AI service or API resale service, users should first complete all required filing, licensing, content safety, real-name verification, log retention, tax, payment, and upstream authorization obligations.

📖 For more deployment methods, please refer to Deployment Guide


📚 Documentation

Quick Navigation:

CategoryLink
🚀 Deployment GuideInstallation Documentation
⚙️ Environment ConfigurationEnvironment Variables
📡 API DocumentationAPI Documentation
❓ FAQFAQ
💬 Community InteractionCommunication Channels

✨ Key Features

For detailed features, please refer to Features Introduction

🎨 Core Functions

FeatureDescription
🎨 New UIModern user interface design
🌍 Multi-languageSupports Simplified Chinese, Traditional Chinese, English, French, Japanese
🔄 Data CompatibilityFully compatible with the original One API database
📈 Data DashboardVisual console and statistical analysis
🔒 Permission ManagementToken grouping, model restrictions, user management

💰 Authorized Usage Accounting and Billing

  • ✅ Internal top-up and quota allocation for lawful authorized scenarios (EPay, Stripe)
  • ✅ Organization-level per-request, usage-based, and cache-hit cost accounting
  • ✅ Cache billing statistics for OpenAI, Azure, DeepSeek, Claude, Qwen, and supported models
  • ✅ Flexible billing policies for internal management or authorized enterprise customers

🔐 Authorization and Security

  • 😈 Discord authorization login
  • 🤖 LinuxDO authorization login
  • 📱 Telegram authorization login
  • 🔑 OIDC unified authentication
  • 🔍 Key quota query usage (with new-api-key-tool)

🚀 Advanced Features

API Format Support:

Intelligent Routing:

  • ⚖️ Channel weighted random
  • 🔄 Automatic retry on failure
  • 🚦 User-level model rate limiting

Format Conversion:

  • 🔄 OpenAI Compatible ⇄ Claude Messages
  • 🔄 OpenAI Compatible → Google Gemini
  • 🔄 Google Gemini → OpenAI Compatible - Text only, function calling not supported yet
  • 🚧 OpenAI Compatible ⇄ OpenAI Responses - In development
  • 🔄 Thinking-to-content functionality

Reasoning Effort Support:

View detailed configuration

OpenAI series models:

  • o3-mini-high - High reasoning effort
  • o3-mini-medium - Medium reasoning effort
  • o3-mini-low - Low reasoning effort
  • gpt-5-high - High reasoning effort
  • gpt-5-medium - Medium reasoning effort
  • gpt-5-low - Low reasoning effort

Claude thinking models:

  • claude-3-7-sonnet-20250219-thinking - Enable thinking mode

Google Gemini series models:

  • gemini-2.5-flash-thinking - Enable thinking mode
  • gemini-2.5-flash-nothinking - Disable thinking mode
  • gemini-2.5-pro-thinking - Enable thinking mode
  • gemini-2.5-pro-thinking-128 - Enable thinking mode with thinking budget of 128 tokens
  • You can also append -low, -medium, or -high to any Gemini model name to request the corresponding reasoning effort (no extra thinking-budget suffix needed).

🤖 Model Support

For details, please refer to API Documentation - Gateway Interface

Model TypeDescriptionDocumentation
🤖 OpenAI-CompatibleOpenAI compatible modelsDocumentation
🤖 OpenAI ResponsesOpenAI Responses formatDocumentation
🎨 Midjourney-ProxyMidjourney-Proxy(Plus)Documentation
🎵 Suno-APISuno APIDocumentation
🔄 RerankCohere, JinaDocumentation
💬 ClaudeMessages formatDocumentation
🌐 GeminiGoogle Gemini formatDocumentation
🔧 DifyChatFlow mode-
🎯 Custom upstreamSupports configuring legally authorized upstream endpoints-

📡 Supported Interfaces

View complete interface list

🚢 Deployment

Tip

Latest Docker image:calciumion/new-api:latest

📋 Deployment Requirements

ComponentRequirement
Local databaseSQLite (Docker must mount /data directory)
Remote databaseMySQL ≥ 5.7.8 or PostgreSQL ≥ 9.6
Container engineDocker / Docker Compose

⚙️ Environment Variable Configuration

Common environment variable configuration
Variable NameDescriptionDefault Value
SESSION_SECRETSession secret (required for multi-machine deployment)-
CRYPTO_SECRETEncryption secret (required for Redis)-
SQL_DSNDatabase connection string-
REDIS_CONN_STRINGRedis connection string-
RELAY_IDLE_CONN_TIMEOUTIdle keep-alive timeout for relay HTTP clients, seconds. Defaults to Go standard library behavior; set 0 to disable90
STREAMING_TIMEOUTStreaming timeout (seconds)300
STREAM_SCANNER_MAX_BUFFER_MBMax per-line buffer (MB) for the stream scanner; increase when upstream sends huge image/base64 payloads64
MAX_REQUEST_BODY_MBMax request body size (MB, counted after decompression; prevents huge requests/zip bombs from exhausting memory). Exceeding it returns 41332
AZURE_DEFAULT_API_VERSIONAzure API version2025-04-01-preview
ERROR_LOG_ENABLEDError log switchfalse
PYROSCOPE_URLPyroscope server address-
PYROSCOPE_APP_NAMEPyroscope application namenew-api
PYROSCOPE_BASIC_AUTH_USERPyroscope basic auth user-
PYROSCOPE_BASIC_AUTH_PASSWORDPyroscope basic auth password-
PYROSCOPE_MUTEX_RATEPyroscope mutex sampling rate5
PYROSCOPE_BLOCK_RATEPyroscope block sampling rate5
HOSTNAMEHostname tag for Pyroscopenew-api

📖 Complete configuration:Environment Variables Documentation

🔧 Deployment Methods

Method 1: Docker Compose (Recommended)
# Clone the project
git clone https://github.com/QuantumNous/new-api.git
cd new-api
# Edit configuration
nano docker-compose.yml
# Start service
docker-compose up -d
Method 2: Docker Commands

Using SQLite:

docker run --name new-api -d --restart always \
-p 3000:3000 \
-e TZ=Asia/Shanghai \
-v ./data:/data \
calciumion/new-api:latest

Using MySQL:

docker run --name new-api -d --restart always \
-p 3000:3000 \
-e SQL_DSN="root:123456@tcp(localhost:3306)/oneapi" \
-e TZ=Asia/Shanghai \
-v ./data:/data \
calciumion/new-api:latest

💡 Path explanation:

  • ./data:/data - Relative path, data saved in the data folder of the current directory
  • You can also use absolute path, e.g.: /your/custom/path:/data
Method 3: BaoTa Panel
  1. Install BaoTa Panel (≥ 9.2.0 version)
  2. Search for New-API in the application store
  3. One-click installation

📖 Tutorial with images

⚠️ Multi-machine Deployment Considerations

Warning

  • Must setSESSION_SECRET - Otherwise login status inconsistent
  • Shared Redis must setCRYPTO_SECRET - Otherwise data cannot be decrypted

🔄 Channel Retry and Cache

Retry configuration:Settings → Operation Settings → General Settings → Failure Retry Count

Cache configuration:

  • REDIS_CONN_STRING: Redis cache (recommended)
  • MEMORY_CACHE_ENABLED: Memory cache

🔗 Related Projects

Upstream Projects

ProjectDescription
One APIOriginal project base
Midjourney-ProxyMidjourney interface support

Supporting Tools

ProjectDescription
new-api-key-toolKey quota query tool
new-api-horizonNew API high-performance optimized version

💬 Help Support

📖 Documentation Resources

ResourceLink
📘 FAQFAQ
💬 Community InteractionCommunication Channels
🐛 Issue FeedbackIssue Feedback
📚 Complete DocumentationOfficial Documentation

🤝 Contribution Guide

Welcome all forms of contribution!

  • 🐛 Report Bugs
  • 💡 Propose New Features
  • 📝 Improve Documentation
  • 🔧 Submit Code

📜 License

This project is licensed under the GNU Affero General Public License v3.0 (AGPLv3).

Additional terms under AGPLv3 Section 7 apply. Modified versions must preserve the author attribution notice Frontend design and development by New API contributors. in the appropriate legal notices and in any prominent about, legal, footer, or attribution location presented by the user interface.

Modified versions that present a user interface must also preserve a visible link to the original project: https://github.com/QuantumNous/new-api.

This is an open-source project developed based on One API (MIT License).

If your organization's policies do not permit the use of AGPLv3-licensed software, or if you wish to avoid the open-source obligations of AGPLv3, please contact us at: support@quantumnous.com


🌟 Star History

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💖 Thank you for using New API

If this project is helpful to you, welcome to give us a ⭐️ Star!

Official DocumentationIssue FeedbackLatest Release

Built with ❤️ by QuantumNous

About

A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for personal and enterprise model management. 🍥

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