OpenAI Integration

This guide describes how you can integrate OpenAI with BricksAI to gain fine-grained monitoring and access control over your OpenAI calls.

Step 1. Add your OpenAI API key

Go to the Settings page. Under "LLM providers", click "Add provider", select "OpenAI", fill in all information, then click "Add".

Step 2. Create a proxy secret key

To create a proxy secret key, go to the Secret keys page. Click "Create a new secret key", fill in all information, then click "Create".

Step 3. Make a call to OpenAI via BricksAI

Here is a list of all currently supported OpenAI API endpoints.

Below are sample code snippets for calling OpenAI with BricksAI:

Python SDK

from openai import OpenAI

client = OpenAI(
  api_key="your-bricks-secret-key",
  base_url="https://api.trybricks.ai/api/providers/openai/v1",
)

# Call OpenAI as normal...

Python Langchain

# Just update your environment variable!
export OPENAI_API_BASE="https://api.trybricks.ai/api/providers/openai/v1"

Node SDK

import OpenAI from "openai";

const openai = new OpenAI({
  apiKey: "your-bricks-secret-key",
  baseURL: "https://api.trybricks.ai/api/providers/openai/v1",
});

// Call OpenAI as normal...

Node LangChain

import { OpenAI } from "@langchain/openai";

const model = new OpenAI({
  openAIApiKey: "your-bricks-secret-key",
  configuration: {
    baseURL: "https://api.trybricks.ai/api/providers/openai/v1",
  },
});

// Call OpenAI as normal...

curl

curl --request POST \
  --url https://api.trybricks.ai/api/providers/openai/v1/chat/completions \
  --header 'Authorization: Bearer your-bricks-secret-key' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gpt-3.5-turbo",
    "messages": [
      {
        "role": "system",
        "content": "You are a helpful assistant."
      },
      {
        "role": "user",
        "content": "hi"
      }
    ]
  }'