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 wraps the official OpenAI SDKs instead of reimplementing OpenAI wire formats, so teams can route model calls through EvalOps with minimal code changes.
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: EvalOps LLM gateway base URL.EVALOPS_PROVIDER_ENVIRONMENT: defaults toprod.EVALOPS_PROVIDER_CREDENTIAL_NAME: optional provider ref credential name.EVALOPS_PROVIDER_TEAM_ID: optional provider ref team ID.
Provider References
Use with_provider_ref or withProviderRef when a request should select a
specific provider credential. Organizations with default provider routing can
omit the helper and keep the vendor SDK call shape.
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