evalops-google-generativeai 0.3.0

Drop-in Google Generative AI SDK shim for EvalOps llm-gateway routing

evalops-google-generativeai

Drop-in google-generativeai shim for stamping EvalOps organization scope, principal attribution, trace IDs, and provider references onto Google Generative AI calls.

This package wraps the official Google Generative AI SDK so teams can route model calls through EvalOps with minimal code changes.

Python

pip install evalops-google-generativeai

import evalops_google_generativeai as genai

genai.configure(
    organization_id="org_123",
    principal="user:[e-mail]",
)

model = genai.GenerativeModel("gemini-2.0-flash")
response = model.generate_content("hello")

Environment

• EVALOPS_API_KEY or GOOGLE_API_KEY: Platform-issued bearer token.
• EVALOPS_ORGANIZATION_ID: organization scope stamped into requests.
• EVALOPS_PRINCIPAL: optional actor string for audit attribution.
• EVALOPS_TRACE_ID: optional trace correlation ID.
• EVALOPS_LLM_GATEWAY_GOOGLE_URL: Google-compatible gateway base URL.
• EVALOPS_LLM_GATEWAY_URL: fallback gateway base URL.
• EVALOPS_PROVIDER_ENVIRONMENT: defaults to prod.
• EVALOPS_PROVIDER_CREDENTIAL_NAME: optional provider ref credential name.
• EVALOPS_PROVIDER_TEAM_ID: optional provider ref team ID.

Provider References

Set provider reference environment variables when a request should select a specific provider credential. Organizations with default provider routing can omit those values and keep the vendor SDK call shape.