from openai import OpenAI
client = OpenAI(
    base_url="https://customerDomain.ambersearch.de/api/beta/openai/v1",
    api_key="ambrs-exampletoken"
)

completion = client.chat.completions.create(
  model="azure/gpt-5.4",
  messages=[
    {"role": "developer", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ]
)

print(completion.choices[0].message)

ChatCompletionMessage(
    content='Hello! How can I help you today?',
    refusal=None,
    role='assistant',
    annotations=None,
    audio=None,
    function_call=None,
    tool_calls=None
)

OpenAI-like Endpoints

Create chat completion (OpenAI format)

Creates a chat completion in OpenAI-compatible format.

This endpoint is designed to accept messages and parameters in the OpenAI format, meaning that you can use it with existing OpenAI-compatible clients and libraries.

In contrast to our standard chat completion endpoint, this one runs independently of amber functionalities, and is intended for users who want to use OpenAI-compatible tools and libraries without relying on amber-specific features.

For reference, see the OpenAI Create chat completion documentation.

POST

api

beta

openai

chat

completions

from openai import OpenAI
client = OpenAI(
    base_url="https://customerDomain.ambersearch.de/api/beta/openai/v1",
    api_key="ambrs-exampletoken"
)

completion = client.chat.completions.create(
  model="azure/gpt-5.4",
  messages=[
    {"role": "developer", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ]
)

print(completion.choices[0].message)

ChatCompletionMessage(
    content='Hello! How can I help you today?',
    refusal=None,
    role='assistant',
    annotations=None,
    audio=None,
    function_call=None,
    tool_calls=None
)

from openai import OpenAI
client = OpenAI(
    base_url="https://customerDomain.ambersearch.de/api/beta/openai/v1",
    api_key="ambrs-exampletoken"
)

completion = client.chat.completions.create(
  model="azure/gpt-5.4",
  messages=[
    {"role": "developer", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ]
)

print(completion.choices[0].message)

ChatCompletionMessage(
    content='Hello! How can I help you today?',
    refusal=None,
    role='assistant',
    annotations=None,
    audio=None,
    function_call=None,
    tool_calls=None
)

Create chat completion List models (OpenAI format)