lmux-azure-foundry 0.2.0

Azure AI Foundry provider for lmux

lmux-azure-foundry

Azure AI Foundry provider for lmux. Uses the openai SDK's AzureOpenAI client.

Supports chat completions, streaming, and embeddings.

Part of the lmux ecosystem: standardized interface, cost tracking on every response, and registry-based routing across providers.

Optional Extras

• lmux-azure-foundry[identity]: Azure AD token authentication via azure-identity

Auth

Three authentication methods:

API Key (default)

Set AZURE_FOUNDRY_API_KEY in your environment:

from lmux_azure_foundry import AzureFoundryProvider

provider = AzureFoundryProvider(endpoint="https://your-resource.openai.azure.com")

Azure AD Token

from lmux_azure_foundry import AzureFoundryProvider, AzureAdToken

provider = AzureFoundryProvider(
    endpoint="https://your-resource.openai.azure.com",
    auth=my_auth_returning_azure_ad_token,
)

Token Provider

from lmux_azure_foundry import AzureFoundryTokenAuthProvider

provider = AzureFoundryProvider(
    endpoint="https://your-resource.openai.azure.com",
    auth=AzureFoundryTokenAuthProvider(),  # uses azure-identity DefaultAzureCredential
)

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)

Async

All methods have async variants: achat, achat_stream, aembed.

Registry

Use with the lmux registry to route across multiple providers:

from lmux import Registry

registry = Registry()
registry.register("azure", provider)
response = registry.chat("azure/gpt-4o", messages)

Provider Params

from lmux_azure_foundry import AzureFoundryParams

response = provider.chat(
    "gpt-4o",
    messages,
    provider_params=AzureFoundryParams(deployment_type="data_zone"),
)

Parameter	Type	Description
reasoning_effort	"low" | "medium" | "high"	Reasoning effort for o-series models
seed	int	Deterministic sampling seed
user	str	End-user identifier
deployment_type	"global" | "data_zone" | "regional"	Affects cost calculation only, not sent to API

Constructor Options

AzureFoundryProvider(
    endpoint=...,      # required, Azure resource endpoint
    auth=...,          # AuthProvider, default: AzureFoundryKeyAuthProvider()
    api_version=...,   # API version (default: "2024-12-01-preview")
    timeout=...,       # Request timeout in seconds
    max_retries=...,   # Max retry attempts
)