Drop-in OpenAI SDK shim for EvalOps llm-gateway routing
Project description
evalops-openai
Drop-in OpenAI SDK shim for routing OpenAI-compatible requests through EvalOps
llm-gateway with organization scope, principal attribution, audit, metering,
and governance hooks.
This package is the first G1 wedge from
evalops/platform#1133. It deliberately wraps the official OpenAI SDKs instead
of reimplementing OpenAI wire formats.
Python
pip install evalops-openai
from evalops_openai import OpenAI
client = OpenAI(
organization_id="org_123",
principal="user:ada@example.com",
)
response = client.chat.completions.create(
**client.with_provider_ref(
{
"model": "gpt-4.1-mini",
"messages": [{"role": "user", "content": "hello"}],
}
)
)
Node
npm install @evalops/openai
import { OpenAI } from "@evalops/openai";
const client = new OpenAI({
organizationId: "org_123",
principal: "user:ada@example.com",
});
const response = await client.chat.completions.create(
client.withProviderRef({
model: "gpt-4.1-mini",
messages: [{ role: "user", content: "hello" }],
}),
);
Environment
EVALOPS_API_KEYorOPENAI_API_KEY: Platform-issued bearer token.EVALOPS_ORGANIZATION_ID: organization scope stamped into gateway requests.EVALOPS_PRINCIPAL: optional actor string for audit attribution.EVALOPS_TRACE_ID: optional trace correlation ID.EVALOPS_LLM_GATEWAY_URL: defaults tohttps://llm-gateway.internal.evalops.dev/v1.EVALOPS_PROVIDER_ENVIRONMENT: defaults toprod.EVALOPS_PROVIDER_CREDENTIAL_NAME: optional provider ref credential name.EVALOPS_PROVIDER_TEAM_ID: optional provider ref team ID.
Current Gateway Constraint
The current llm-gateway contract requires provider_ref in the JSON body for
/v1/chat/completions and /v1/responses. The helpers above inject that field
while preserving the vendor SDK surface. Once the gateway can infer a default
provider ref from the authenticated principal, the helper call can disappear and
the package becomes import-only migration.
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