Connect multiple AI models through a single API

Hi, this is the Runyour team.

Integrating AI into your service quickly leads to a complex management burden.  

You have to create accounts for every provider, manage separate API keys, and deal with inconsistent SDKs and calling methods. Even when you want to test a new model, you often find yourself re-verifying existing integrations and rewriting your code.  

With Runyour API Router, you can connect AI models from multiple providers within a single API environment.

Call various models using just one API key and endpoint, and switch between them effortlessly whenever you need to.

Connect once, then simply update the model value. 

Runyour API Router supports an OpenAI-compatible interface.

Once you set up the Runyour API Router API key and endpoint during your initial integration, you can maintain your existing call structure and switch to a different model by simply changing the model value.

# Existing call

completion = client.chat.completions.create(

    model="provider-a/model-name",

    messages=[{"role": "user", "content": "Hello!"}]

)

# Switch to another model — just change the model value

completion = client.chat.completions.create(

    model="provider-b/model-name",

    messages=[{"role": "user", "content": "Hello!"}]

)

You no longer need to constantly reconnect provider-specific SDKs or reconfigure your calling methods every time you switch models. 

You can maintain a single API environment even when testing new models or using multiple models in parallel for different tasks. 

It is especially useful when:  

Testing new models quickly 

Sometimes you want to verify if a newly released model is a better fit for your service than your current one. 

If you have already integrated the Runyour API Router, you can apply the same prompt to multiple models and compare the results simply by changing the model value, without needing to rebuild your calling structure. 

Test new models quickly without having to build a separate API environment every time one is released. 

Using different models for different tasks 

You don't have to use a single model for every task. 

You can use lightweight, efficient models for simple summaries, models specialized in development for code generation, and high-performance reasoning models for complex analysis. Configure different models for different types of tasks with ease. 

Since you can utilize multiple models within a single API environment, it is convenient to deploy the most suitable model for each feature of your service. 

Balancing cost and performance 

Each model has different performance characteristics and associated costs. 

You can optimize your service by applying cost-effective models to features that require frequent calls, while using higher-performance models for tasks where output quality is critical. Adjust the balance between cost and performance according to your service's needs with ease. 

Explore the cost information for each model provided by Runyour to find the perfect model combination for your service. 

Use it with Runyour AI and Runyour Agent    

API Router is a common feature provided by Runyour AI and Runyour Agent. 

You can use API Router with Runyour AI for individual or team-based AI tasks, or with Runyour Agent for AI utilization and management at the enterprise and organizational level. 

If you want to connect a new AI model to your existing application or quickly compare the performance of multiple models, get started with a single API environment using Runyour API Router. 

Once integrated, you can easily switch to any AI model you need by simply changing the model value. 

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