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Google Cloud Vertex AI provider for lmux

Project description

lmux-gcp-vertex

Google Cloud Vertex AI provider for lmux. Wraps the google-genai SDK.

Supports chat completions, streaming, and embeddings.

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

Auth

Three authentication methods:

Application Default Credentials (default)

Uses google.auth.default(), which works with GOOGLE_APPLICATION_CREDENTIALS, gcloud CLI, or instance metadata.

from lmux_gcp_vertex import GCPVertexProvider

provider = GCPVertexProvider(project="my-project", location="us-central1")

Service Account

from lmux_gcp_vertex import GCPVertexServiceAccountAuthProvider

provider = GCPVertexProvider(
    project="my-project",
    location="us-central1",
    auth=GCPVertexServiceAccountAuthProvider(service_account_file="/path/to/key.json"),
)

API Key

Set GOOGLE_API_KEY in your environment:

from lmux_gcp_vertex import GCPVertexAPIKeyAuthProvider

provider = GCPVertexProvider(auth=GCPVertexAPIKeyAuthProvider(), vertexai=False)

Usage

Chat

from lmux import UserMessage

response = provider.chat("gemini-2.5-pro", [UserMessage(content="Hello")])
print(response.content)
print(response.cost)

Streaming

for chunk in provider.chat_stream("gemini-2.5-pro", [UserMessage(content="Hello")]):
    if chunk.delta:
        print(chunk.delta, end="")

Embeddings

response = provider.embed("text-embedding-005", "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("gcp", provider)
response = registry.chat("gcp/gemini-2.5-pro", messages)

Provider Params

from lmux_gcp_vertex import GCPVertexParams

response = provider.chat(
    "gemini-2.5-pro",
    messages,
    provider_params=GCPVertexParams(thinking_config={"thinking_budget": 1024}),
)
Parameter Type Description
safety_settings list[SafetySetting] Content safety thresholds
presence_penalty float Presence penalty
frequency_penalty float Frequency penalty
seed int Deterministic sampling seed
labels dict[str, str] Request labels
thinking_config dict Thinking/reasoning configuration

Constructor Options

GCPVertexProvider(
    auth=...,       # AuthProvider, default: GCPVertexADCAuthProvider()
    project=...,    # GCP project ID
    location=...,   # GCP region
    vertexai=...,   # Use Vertex AI (default: True) vs. AI Studio
)

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