lmux-openai
OpenAI provider for lmux. Wraps the openai SDK.
Supports chat completions, streaming, embeddings, and the Responses API.
Part of the lmux ecosystem: standardized interface, cost tracking on every response, and registry-based routing across providers.
Auth
Set OPENAI_API_KEY in your environment. The default OpenAIEnvAuthProvider reads it automatically.
from lmux_openai import OpenAIProvider
provider = OpenAIProvider()
Or pass a custom auth provider:
provider = OpenAIProvider(auth=my_auth_provider)
Usage
Chat
from lmux import UserMessage
response = provider.chat("gpt-4o", [UserMessage(content="Hello")])
print(response.content)
print(response.cost)
Streaming
for chunk in provider.chat_stream("gpt-4o", [UserMessage(content="Hello")]):
if chunk.delta:
print(chunk.delta, end="")
Embeddings
response = provider.embed("text-embedding-3-small", "Hello")
print(response.embeddings)
Responses API
response = provider.create_response("gpt-4o", "Hello")
print(response.output_text)
Async
All methods have async variants: achat, achat_stream, aembed, acreate_response.
Registry
Use with the lmux registry to route across multiple providers:
from lmux import Registry
registry = Registry()
registry.register("openai", provider)
response = registry.chat("openai/gpt-4o", messages)
Provider Params
Pass OpenAI-specific parameters via provider_params:
from lmux_openai import OpenAIParams
response = provider.chat(
"o3",
messages,
provider_params=OpenAIParams(reasoning_effort="high", service_tier="flex"),
)
| Parameter | Type | Description |
|---|---|---|
service_tier |
"auto" | "default" | "flex" |
Service tier selection |
reasoning_effort |
"low" | "medium" | "high" |
Reasoning effort for o-series models |
seed |
int |
Deterministic sampling seed |
user |
str |
End-user identifier |
Constructor Options
OpenAIProvider(
auth=..., # AuthProvider[str], default: OpenAIEnvAuthProvider()
base_url=..., # Optional base URL override
timeout=..., # Request timeout in seconds
max_retries=..., # Max retry attempts
data_residency=..., # bool, default: False — apply 10% uplift for regional endpoints
)
Data Residency
OpenAI charges a 10% uplift on the gpt-5.4, gpt-5.5, and gpt-5.6 families when requests go through a regional processing (data residency) endpoint.
Data residency is selected at the transport layer (regional hostname like eu.api.openai.com), not via a per-request parameter. Set data_residency=True on the provider so lmux applies the uplift to the reported cost.
provider = OpenAIProvider(
base_url="https://eu.api.openai.com/v1",
data_residency=True,
)
The uplift is only applied to eligible models (checked via regional_uplift_applies); other models (e.g. gpt-4o, embeddings) return their standard cost even when data_residency=True.
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