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Getting StartedPython Quickstart

Python Quickstart

The SDK configures the OpenAI client to route through the gateway automatically:

pip install curate-me openai
from curate_me.gateway import CurateGateway
 
gw = CurateGateway(api_key="cm_sk_xxx")
 
# Get a pre-configured OpenAI client pointed at the gateway
client = gw.openai()
 
response = client.chat.completions.create(
    model="anthropic/claude-haiku-4-5",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

You can also pass a provider key explicitly if you are not using stored secrets:

client = gw.openai(provider_key="sk-your-openai-key")

Using the OpenAI SDK Directly

If you prefer not to use the SDK, just change the base URL:

from openai import OpenAI
 
client = OpenAI(
    base_url="https://api.curate-me.ai/v1/openrouter",
    api_key="stored",
    default_headers={"X-CM-API-Key": "cm_sk_xxx"},
)
 
response = client.chat.completions.create(
    model="anthropic/claude-haiku-4-5",
    messages=[{"role": "user", "content": "Explain AI governance in one sentence."}],
)
print(response.choices[0].message.content)

Using Anthropic Models (Native SDK)

from curate_me.gateway import CurateGateway
 
gw = CurateGateway(api_key="cm_sk_xxx")
client = gw.anthropic()
 
message = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}],
)
print(message.content[0].text)

Checking Usage

# Response headers include governance metadata
print(response.headers.get("X-CM-Cost"))
print(response.headers.get("X-CM-Request-Id"))
print(response.headers.get("RateLimit-Remaining"))
print(response.headers.get("X-CM-Governance-Time-Ms"))
InstallationTypeScript Quickstart