GatewayModel Providers

Provider: OpenAI

Call OpenAI models through Respan Gateway with unified logs, cost, and latency.
This page is for Respan LLM Gateway users.

Use Respan Gateway to call OpenAI models (gpt-5.5, gpt-5, gpt-5-mini, o3, and the rest) while keeping unified observability (logs, cost, latency, reliability) in Respan.

Quick setup

1

Get a Respan API key

Sign up and create a key on the API keys page.

Send your first request

Pick the integration that matches your stack. The base URL is https://api.respan.ai/api and the only key needed is your RESPAN_API_KEY.

The recommended path. Point the OpenAI SDK at the Respan gateway and call any OpenAI model.

from openai import OpenAI
client = OpenAI(
    api_key="YOUR_RESPAN_API_KEY",
    base_url="https://api.respan.ai/api",
)
response = client.chat.completions.create(
    model="gpt-5.5",
    messages=[{"role": "user", "content": "Hello, OpenAI!"}],
)
print(response.choices[0].message.content)

More integrations

OpenAI models work with every Respan gateway integration:

Switch models

Change the model parameter to call any supported model through the same client. Use the openai/ prefix to disambiguate when routing across providers. Browse the full list on the Models page.

client.chat.completions.create(model="openai/gpt-5.5", messages=messages)
client.chat.completions.create(model="openai/gpt-5-mini", messages=messages)
client.chat.completions.create(model="openai/o3", messages=messages)
client.chat.completions.create(model="anthropic/claude-sonnet-4-5", messages=messages)
client.chat.completions.create(model="gemini/gemini-3.5-flash", messages=messages)

Use your own OpenAI key (BYOK)

Credits are the default path. If you’d rather bill OpenAI directly, attach your own provider key.

1

Open Providers

Go to the Providers page.

2

Add OpenAI

Select OpenAI and paste your openai.api_key.

3

Load balancing (Optional)

Add multiple credential sets and use Load balancing weight to distribute traffic across them.

Override credentials per model (Optional)

Use credential_override when one model on a request should use a different OpenAI key than the default.

{
  "customer_credentials": {
    "openai": { "api_key": "YOUR_OPENAI_API_KEY" }
  },
  "credential_override": {
    "gpt-5.5": { "api_key": "ANOTHER_OPENAI_API_KEY" }
  }
}

Log without proxying (Optional)

Already calling OpenAI directly? Send logs to Respan asynchronously to track cost, latency, and performance for those external calls.

import requests
requests.post(
    "https://api.respan.ai/api/request-logs/create/",
    headers={
        "Authorization": "Bearer YOUR_RESPAN_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "gpt-5.5",
        "prompt_messages": [{"role": "user", "content": "Hello, how are you?"}],
        "completion_message": {"role": "assistant", "content": "Hello from OpenAI through Respan."},
        "cost": 0.001,
        "generation_time": 1.2,
        "customer_params": {"customer_identifier": "user_123"},
    },
)

See the logging guide for the full setup.