Generate Content - Portrix docs

Gemini-compatible generateContent API on PipeLLM

Endpoint

POST https://api.portix.ai/v1beta/models/{model}:generateContent

This free route accepts Gemini native requests and routes only to Gemini platforms. To keep the Gemini format while calling OpenAI or Anthropic models, use the Gemini Format Converter.

Install SDK

pip install google-genai

Code Examples

cURL
Python
Node.js
Go

curl "https://api.portix.ai/v1beta/models/gemini-3-flash-preview:generateContent" \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $YOUR_API_KEY" \
  -d '{
    "contents": [
      {
        "role": "user",
        "parts": [
          {"text": "Why is the sky blue?"}
        ]
      }
    ]
  }'

import os
from google import genai

client = genai.Client(
  api_key=os.getenv('YOUR_API_KEY'),
  http_options={'base_url': 'https://api.portix.ai'}
)

response = client.models.generate_content(
  model='gemini-3-flash-preview',
  contents='Why is the sky blue?'
)

print(response.text)

import { GoogleGenAI } from '@google/genai';

const ai = new GoogleGenAI({
  apiKey: process.env.YOUR_API_KEY,
  httpOptions: {
    baseUrl: 'https://api.portix.ai'
  }
});

const response = await ai.models.generateContent({
  model: 'gemini-3-flash-preview',
  contents: 'Why is the sky blue?'
});

console.log(response.text);

package main

import (
  "context"
  "os"
  "github.com/google/generative-ai-go/genai"
  "google.golang.org/api/option"
)

func main() {
  ctx := context.Background()
  client, _ := genai.NewClient(ctx,
    option.WithAPIKey(os.Getenv("YOUR_API_KEY")),
    option.WithEndpoint("https://api.portix.ai"),
  )
  defer client.Close()

  model := client.GenerativeModel("gemini-3-flash-preview")
  resp, _ := model.GenerateContent(ctx,
    genai.Text("Why is the sky blue?"),
  )
}

Request Format

{
  "contents": [
    {
      "role": "user",
      "parts": [
        {"text": "Your message here"}
      ]
    }
  ],
  "generationConfig": {
    "temperature": 0.7,
    "maxOutputTokens": 1024
  }
}

Response Format

{
  "candidates": [
    {
      "content": {
        "parts": [
          {"text": "The sky appears blue because..."}
        ],
        "role": "model"
      },
      "finishReason": "STOP"
    }
  ],
  "usageMetadata": {
    "promptTokenCount": 10,
    "candidatesTokenCount": 50,
    "totalTokenCount": 60
  }
}

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