Google Gemini

Two ways in: send Gemini requests to the proxy in OpenAI’s format, or call init() and keep Google’s client as it is (auto-instrumentation patches both google-genai and the deprecated google-generativeai).

Proxy

Proxy Base URL: https://api.promptguard.co/api/v1Point your LLM SDK’s base_url / baseURL to this endpoint. Your existing provider API key goes in the Authorization header as usual; add your PromptGuard key via X-API-Key.

Every model id starting gemini- goes to Google’s Gemini API. You send an OpenAI-style chat completion; PromptGuard translates it into a Gemini generateContent call and translates the reply back into OpenAI’s shape, so any OpenAI client works. Google’s own SDKs do not speak this format, so for them use auto-instrumentation instead. Send your Google AI Studio API key in Authorization. PromptGuard forwards it to Google as the x-goog-api-key header Google expects.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.promptguard.co/api/v1",
    api_key=os.environ["GEMINI_API_KEY"],  # forwarded to Google
    default_headers={"X-API-Key": os.environ["PROMPTGUARD_API_KEY"]},
)

response = client.chat.completions.create(
    model="gemini-2.5-flash",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: 'https://api.promptguard.co/api/v1',
  apiKey: process.env.GEMINI_API_KEY, // forwarded to Google
  defaultHeaders: { 'X-API-Key': process.env.PROMPTGUARD_API_KEY },
});

const response = await client.chat.completions.create({
  model: 'gemini-2.5-flash',
  messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0].message.content);

curl https://api.promptguard.co/api/v1/chat/completions \
  -H "X-API-Key: $PROMPTGUARD_API_KEY" \
  -H "Authorization: Bearer $GEMINI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gemini-2.5-flash", "messages": [{"role": "user", "content": "Hello!"}]}'

The translation calls generateContent, Google’s non-streaming method, so send these requests without stream. To keep the Google key out of your application, store it as a provider key under gemini.

Auto-instrumentation

import promptguard
promptguard.init()  # reads PROMPTGUARD_API_KEY

from google import genai
client = genai.Client()  # talks to Google directly; generate_content is scanned first

With google-genai a redact decision rewrites the prompt and the system instruction is scanned. With the deprecated google-generativeai neither is possible, so in enforce mode a redact decision blocks the call instead.

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Proxy

Auto-instrumentation

​Proxy

​Auto-instrumentation

Proxy

Auto-instrumentation