Obiguard provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including OpenRouter. With Obiguard, you can take advantage of features like fast AI gateway access, observability, prompt management, and more, all while ensuring the secure management of your LLM API keys through a virtual key system.
Provider Slug. openrouter

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Obiguard SDK Integration with OpenRouter Models

Obiguard provides a consistent API to interact with models from various providers. To integrate OpenRouter with Obiguard:

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1. Install the Obiguard SDK

Add the Obiguard SDK to your application to interact with OpenRouter AI’s API through Obiguard’s gateway. 
pip install obiguard

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2. Initialize Obiguard with the Virtual Key

To use OpenRouter with Obiguard, get your API key from here, then add it to Obiguard to create the virtual key. 
from obiguard import Obiguard

client = Obiguard(
  obiguard_api_key="vk-obg***",  # Your Obiguard virtual key
)

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3. Invoke Chat Completions with OpenRouter

Use the Obiguard instance to send requests to OpenRouter. You can also override the virtual key directly in the API call if needed. 
completion = client.chat.completions.create(
  messages= [{"role": 'user', "content": 'Say this is a test'}],
  model= 'mistral-medium'
)

print(completion)

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Open Router Tool Calling

Tool calling feature lets models trigger external tools based on conversation context. You define available functions, the model chooses when to use them, and your application executes them and returns results. Obiguard supports Open Router Tool Calling and makes it interoperable across multiple providers.

Open Router Tool Calling
Get Weather Tool
tools = [{
  "type": "function",
  "function": {
    "name": "getWeather",
    "description": "Get the current weather",
    "parameters": {
      "type": "object",
      "properties": {
        "location": {"type": "string", "description": "City and state"},
        "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
      },
     "required": ["location"]
    }
  }
}]

response = client.chat.completions.create(
  model="openai/gpt-4o",
  messages=[
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "What's the weather like in Delhi - respond in JSON"}
  ],
  tools=tools,
  tool_choice="auto"
)

print(response.choices[0].finish_reason)

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Next Steps

The complete list of features supported in the SDK are available on the link below.

Obiguard SDK Client

Learn more about the Obiguard SDK Client