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Jesse

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How to Build a Unified LLM API Gateway: One Endpoint for GPT, Claude, Gemini & More

#llm #api #openai #claude

The Problem

If you're building AI-powered applications, you've probably dealt with this:

  • OpenAI has one API format
  • Anthropic Claude has another
  • Google Gemini has yet another
  • DeepSeek, Mistral, Llama... each with their own SDKs

Managing multiple API keys, different SDKs, and separate billing for each provider is a nightmare.

The Solution: Unified API Gateway

I built a gateway that wraps all majo## The Problem

If you're building AI-powered applications, you've probably dealt with this:

  • OpenAI has one API format
  • Anthropic Claude has another
  • Google Gemini has yet another
  • DeepSeek, Mistral, Llama... each with their own SDKs

Managing multiple API keys, different SDKs, and separate billing for each provider is a nightmare.

The Solution: Unified API Gateway

I built a gateway that wraps all major LLM providers behind a single OpenAI-compatible endpoint.

How it works 

Your App → OpenAI SDK → Unified Gateway → OpenAI/Claude/Gemini/DeepSeek
Enter fullscreen mode Exit fullscreen mode

Your code only talks to one endpoint. The gateway handles translation.

Key Features

  • One API key for all models
  • Zero code changes — drop-in replacement for OpenAI SDK
  • Model switching — change model name, not code
  • Streaming support — real-time responses
  • Function calling — works across providers

Supported Models

Provider Models
OpenAI GPT-4o, GPT-4, GPT-3.5
Anthropic Claude 3.5 Sonnet, Haiku
Google Gemini Pro, Ultra, Flash
DeepSeek V3, R1

Getting Started

  1. Sign up at https://token-china.cc
  2. Get your API key
  3. Replace your OpenAI base URL: 
import openai

client = openai.OpenAI(
    api_key="your-token-china-key",
    base_url="https://token-china.cc/v1"
)

# Now use any model!
response = client.chat.completions.create(
    model="claude-3-5-sonnet",  # or gpt-4o, gemini-pro, etc.
    messages=[{"role": "user", "content": "Hello!"}]
)
Enter fullscreen mode Exit fullscreen mode

$1 Free Credit

New users get $1 free credit to test all models. No credit card required.

Try it: https://token-china.cc

What approaches are you using for multi-model management? Would love to hear your thoughts in the comments.## Before: The Mess

My project used 3 different AI models:

  • GPT-4o for general chat
  • Claude 3.5 for long documents
  • DeepSeek for cost-sensitive tasks

This meant:

  • 3 API keys to manage
  • 3 different SDKs
  • 3 billing dashboards
  • 3 sets of error handling

After: One Endpoint

I discovered unified API gateways — services that wrap multiple LLM providers behind a single OpenAI-compatible endpoint.

The Setup (2 minutes) 

# Before: Multiple clients
openai_client = OpenAI(api_key="sk-xxx")
claude_client = Anthropic(api_key="sk-ant-xxx")
deepseek_client = OpenAI(api_key="sk-ds-xxx", base_url="...")

# After: One client
client = OpenAI(
    api_key="unified-key",
    base_url="https://token-china.cc/v1"
)
Enter fullscreen mode Exit fullscreen mode

The Results

  • 70% less integration code
  • One billing dashboard
  • Easy model switching — just change the model name
  • Automatic failover — if one provider is down, route to another

Cost Comparison

Approach Monthly Cost Complexity
Direct APIs $50-100 High
Unified Gateway $30-60 Low

Try It Yourself

https://token-china.cc offers $1 free credit to test. No commitment needed.

The OpenAI SDK compatibility means you can switch in 5 minutes.

Have you tried unified API gateways? What was your experience?## Before: The Mess

My project used 3 different AI models:

  • GPT-4o for general chat
  • Claude 3.5 for long documents
  • DeepSeek for cost-sensitive tasks

This meant:

  • 3 API keys to manage
  • 3 different SDKs
  • 3 billing dashboards
  • 3 sets of error handling

After: One Endpoint

I discovered unified API gateways — services that wrap multiple LLM providers behind a single OpenAI-compatible endpoint.

The Setup (2 minutes) 

# Before: Multiple clients
openai_client = OpenAI(api_key="sk-xxx")
claude_client = Anthropic(api_key="sk-ant-xxx")
deepseek_client = OpenAI(api_key="sk-ds-xxx", base_url="...")

# After: One client
client = OpenAI(
    api_key="unified-key",
    base_url="https://token-china.cc/v1"
)
Enter fullscreen mode Exit fullscreen mode

The Results

  • 70% less integration code
  • One billing dashboard
  • Easy model switching — just change the model name
  • Automatic failover — if one provider is down, route to another

Cost Comparison

Approach Monthly Cost Complexity
Direct APIs $50-100 High
Unified Gateway $30-60 Low

Try It Yourself

https://token-china.cc offers $1 free credit to test. No commitment needed.

The OpenAI SDK compatibility means you can switch in 5 minutes.

Have you tried unified API gateways? What was your experience?## The Problem

If you're building AI-powered applications, you've probably dealt with this:

  • OpenAI has one API format
  • Anthropic Claude has another
  • Google Gemini has yet another
  • DeepSeek, Mistral, Llama... each with their own SDKs

Managing multiple API keys, different SDKs, and separate billing for each provider is a nightmare.

The Solution: Unified API Gateway

I built a gateway that wraps all major LLM providers behind a single OpenAI-compatible endpoint.

How it works 

Your App → OpenAI SDK → Unified Gateway → OpenAI/Claude/Gemini/DeepSeek
Enter fullscreen mode Exit fullscreen mode

Your code only talks to one endpoint. The gateway handles translation.

Key Features

  • One API key for all models
  • Zero code changes — drop-in replacement for OpenAI SDK
  • Model switching — change model name, not code
  • Streaming support — real-time responses
  • Function calling — works across providers

Supported Models

Provider Models
OpenAI GPT-4o, GPT-4, GPT-3.5
Anthropic Claude 3.5 Sonnet, Haiku
Google Gemini Pro, Ultra, Flash
DeepSeek V3, R1

Getting Started

  1. Sign up at https://token-china.cc
  2. Get your API key
  3. Replace your OpenAI base URL: 
import openai

client = openai.OpenAI(
    api_key="your-token-china-key",
    base_url="https://token-china.cc/v1"
)

# Now use any model!
response = client.chat.completions.create(
    model="claude-3-5-sonnet",  # or gpt-4o, gemini-pro, etc.
    messages=[{"role": "user", "content": "Hello!"}]
)
Enter fullscreen mode Exit fullscreen mode

$1 Free Credit

New users get $1 free credit to test all models. No credit card required.

Try it: https://token-china.cc

What approaches are you using for multi-model management? Would love to hear your thoughts in the comments.## The Problem

If you're building AI-powered applications, you've probably dealt with this:

  • OpenAI has one API format
  • Anthropic Claude has another
  • Google Gemini has yet another
  • DeepSeek, Mistral, Llama... each with their own SDKs

Managing multiple API keys, different SDKs, and separate billing for each provider is a nightmare.

The Solution: Unified API Gateway

I built a gateway that wraps all major LLM providers behind a single OpenAI-compatible endpoint.

How it works 

Your App → OpenAI SDK → Unified Gateway → OpenAI/Claude/Gemini/DeepSeek
Enter fullscreen mode Exit fullscreen mode

Your code only talks to one endpoint. The gateway handles translation.

Key Features

  • One API key for all models
  • Zero code changes — drop-in replacement for OpenAI SDK
  • Model switching — change model name, not code
  • Streaming support — real-time responses
  • Function calling — works across providers

Supported Models

Provider Models
OpenAI GPT-4o, GPT-4, GPT-3.5
Anthropic Claude 3.5 Sonnet, Haiku
Google Gemini Pro, Ultra, Flash
DeepSeek V3, R1

Getting Started

  1. Sign up at https://token-china.cc
  2. Get your API key
  3. Replace your OpenAI base URL: 
import openai

client = openai.OpenAI(
    api_key="your-token-china-key",
    base_url="https://token-china.cc/v1"
)

# Now use any model!
response = client.chat.completions.create(
    model="claude-3-5-sonnet",  # or gpt-4o, gemini-pro, etc.
    messages=[{"role": "user", "content": "Hello!"}]
)
Enter fullscreen mode Exit fullscreen mode

$1 Free Credit

New users get $1 free credit to test all models. No credit card required.

Try it: https://token-china.cc

*What approaches are you using for multi-model management? Would love to hear your thoughts in the comments.*Test body contentTest body content## Before: The Mess

My project used 3 different AI models:

  • GPT-4o for general chat
  • Claude 3.5 for long documents
  • DeepSeek for cost-sensitive tasks

This meant:

  • 3 API keys to manage
  • 3 different SDKs
  • 3 billing dashboards
  • 3 sets of error handling

After: One Endpoint

I discovered unified API gateways — services that wrap multiple LLM providers behind a single OpenAI-compatible endpoint.

The Setup (2 minutes) 

# Before: Multiple clients
openai_client = OpenAI(api_key="sk-xxx")
claude_client = Anthropic(api_key="sk-ant-xxx")
deepseek_client = OpenAI(api_key="sk-ds-xxx", base_url="...")

# After: One client
client = OpenAI(
    api_key="unified-key",
    base_url="https://token-china.cc/v1"
)
Enter fullscreen mode Exit fullscreen mode

The Results

  • 70% less integration code
  • One billing dashboard
  • Easy model switching — just change the model name
  • Automatic failover — if one provider is down, route to another

Cost Comparison

Approach Monthly Cost Complexity
Direct APIs $50-100 High
Unified Gateway $30-60 Low

Try It Yourself

https://token-china.cc offers $1 free credit to test. No commitment needed.

The OpenAI SDK compatibility means you can switch in 5 minutes.

Have you tried unified API gateways? What was your experience?## The Problem

If you're building AI-powered applications, you've probably dealt with this:

  • OpenAI has one API format
  • Anthropic Claude has another
  • Google Gemini has yet another
  • DeepSeek, Mistral, Llama... each with their own SDKs

Managing multiple API keys, different SDKs, and separate billing for each provider is a nightmare.

The Solution: Unified API Gateway

I built a gateway that wraps all major LLM providers behind a single OpenAI-compatible endpoint.

How it works 

Your App → OpenAI SDK → Unified Gateway → OpenAI/Claude/Gemini/DeepSeek
Enter fullscreen mode Exit fullscreen mode

Your code only talks to one endpoint. The gateway handles translation.

Key Features

  • One API key for all models
  • Zero code changes — drop-in replacement for OpenAI SDK
  • Model switching — change model name, not code
  • Streaming support — real-time responses
  • Function calling — works across providers

Supported Models

Provider Models
OpenAI GPT-4o, GPT-4, GPT-3.5
Anthropic Claude 3.5 Sonnet, Haiku
Google Gemini Pro, Ultra, Flash
DeepSeek V3, R1

Getting Started

  1. Sign up at https://token-china.cc
  2. Get your API key
  3. Replace your OpenAI base URL: 
import openai

client = openai.OpenAI(
    api_key="your-token-china-key",
    base_url="https://token-china.cc/v1"
)

# Now use any model!
response = client.chat.completions.create(
    model="claude-3-5-sonnet",  # or gpt-4o, gemini-pro, etc.
    messages=[{"role": "user", "content": "Hello!"}]
)
Enter fullscreen mode Exit fullscreen mode

$1 Free Credit

New users get $1 free credit to test all models. No credit card required.

Try it: https://token-china.cc

*What approaches are you using for multi-model management? Would love to hear your thoughts in the comments.*r LLM providers behind a single OpenAI-compatible endpoint.

How it works 

Your App → OpenAI SDK → Unified Gateway → OpenAI/Claude/Gemini/DeepSeek
Enter fullscreen mode Exit fullscreen mode

Your code only talks to one endpoint. The gateway handles translation.

Key Features

  • One API key for all models
  • Zero code changes — drop-in replacement for OpenAI SDK
  • Model switching — change model name, not code
  • Streaming support — real-time responses
  • Function calling — works across providers

Supported Models

Provider Models
OpenAI GPT-4o, GPT-4, GPT-3.5
Anthropic Claude 3.5 Sonnet, Haiku
Google Gemini Pro, Ultra, Flash
DeepSeek V3, R1

Getting Started

  1. Sign up at https://token-china.cc
  2. Get your API key
  3. Replace your OpenAI base URL: 
import openai

client = openai.OpenAI(
    api_key="your-token-china-key",
    base_url="https://token-china.cc/v1"
)

# Now use any model!
response = client.chat.completions.create(
    model="claude-3-5-sonnet",  # or gpt-4o, gemini-pro, etc.
    messages=[{"role": "user", "content": "Hello!"}]
)
Enter fullscreen mode Exit fullscreen mode

$1 Free Credit

New users get $1 free credit to test all models. No credit card required.

Try it: https://token-china.cc

What approaches are you using for multi-model management? Would love to hear your thoughts in the comments.

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