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IntegrationIntegrationsLLM SDKs

LiteLLM (gateway)

Route LiteLLM requests through the Respan gateway to use 1000+ models from different providers. Only your RESPAN_API_KEY is needed - no separate provider keys required.

Setup

1

Install packages

pip install litellm
2

Set environment variables

export RESPAN_API_KEY="YOUR_RESPAN_API_KEY"

No provider key needed - the Respan gateway handles provider authentication.

3

Point LiteLLM to the Respan gateway

import os
import litellm
response = litellm.completion(
    api_key=os.environ["RESPAN_API_KEY"],
    api_base="https://api.respan.ai/api",
    model="gpt-5.5",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Switch models

Use another OpenAI model ID through the same gateway endpoint.

messages = [{"role": "user", "content": "Hello!"}]
litellm.completion(
    api_key=os.environ["RESPAN_API_KEY"],
    api_base="https://api.respan.ai/api",
    model="gpt-5.5",
    messages=messages,
)
litellm.completion(
    api_key=os.environ["RESPAN_API_KEY"],
    api_base="https://api.respan.ai/api",
    model="gpt-5-mini",
    messages=messages,
)

LiteLLM can be forced onto its OpenAI transport for non-OpenAI models, but that makes the transport provider easy to confuse with the model provider. This page avoids showing Claude or Gemini as OpenAI-provider models; use the Respan API or OpenAI SDK gateway pages for provider-neutral Claude and Gemini examples.

See the full model list.

Respan parameters

Pass additional Respan parameters via extra_body for gateway features.

response = litellm.completion(
    api_key=os.environ["RESPAN_API_KEY"],
    api_base="https://api.respan.ai/api",
    model="gpt-5.5",
    messages=[{"role": "user", "content": "Hello!"}],
    extra_body={
        "customer_identifier": "user-123",
        "metadata": {"session_id": "abc123"},
        "thread_identifier": "conversation_456",
    },
)

See Respan params & metadata for the full list.