Logs
Log your OpenAI API calls to your own database for easy debugging and analytics. Just swap outhttps://api.openai.com for https://api.openai.withlogging.com and add your LLM_REPORT_API_KEY to the X-Api-Key header.
import { Configuration, OpenAIApi } from "openai";
const configuration = new Configuration({
apiKey: process.env.OPENAI_API_KEY,
basePath: "https://api.openai.withlogging.com/v1",
baseOptions: {
headers: {
"X-Api-Key": `Bearer ${process.env.LLM_REPORT_API_KEY}`,
},
},
});
const openai = new OpenAIApi(configuration);
const completion = await openai.createChatCompletion({
model: "gpt-3.5-turbo",
messages: [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "Hello world" },
],
});
fetch("https://api.openai.withlogging.com/v1/chat/completions", {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
"X-Api-Key": `Bearer ${process.env.LLM_REPORT_API_KEY}`,
},
body: JSON.stringify({
model: "gpt-3.5-turbo",
messages: [{ role: "user", content: "Hello world" }],
}),
});
import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
openai.api_base = "https://api.openai.withlogging.com/v1"
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "user", "content": "Hello!"}
],
headers={
"X-Api-Key": "Bearer " + os.getenv("LLM_REPORT_API_KEY"),
}
)
print(completion.choices[0].message)
curl https://api.openai.withlogging.com/v1/chat/completions \\
-H "Content-Type: application/json" \\
-H "Authorization: Bearer $OPENAI_API_KEY" \\
-H "X-Api-Key: Bearer $LLM_REPORT_API_KEY" \\
-d '{
"model": "gpt-3.5-turbo",
"messages": [{"role": "user", "content": "Hello!"}]
}'