OpenAI

pip install openai

npm install openai

from posthog.ai.openai import OpenAI
from posthog import Posthog
posthog = Posthog(
    "<ph_project_token>",
    host="https://us.i.posthog.com"
)
client = OpenAI(
    api_key="your_openai_api_key",
    posthog_client=posthog # This is an optional parameter. If it is not provided, a default client will be used.
)

import { OpenAI } from '@posthog/ai'
import { PostHog } from 'posthog-node'
const phClient = new PostHog(
  '<ph_project_token>',
  { host: 'https://us.i.posthog.com' }
);
const openai = new OpenAI({
  apiKey: 'your_openai_api_key',
  posthog: phClient,
});

response = client.responses.create(
    model="gpt-5-mini",
    input=[
        {"role": "user", "content": "Tell me a fun fact about hedgehogs"}
    ],
    posthog_distinct_id="user_123", # optional
    posthog_trace_id="trace_123", # optional
    posthog_properties={"conversation_id": "abc123", "paid": True}, # optional
    posthog_groups={"company": "company_id_in_your_db"},  # optional
    posthog_privacy_mode=False # optional
)
print(response.output_text)

const completion = await openai.responses.create({
    model: "gpt-5-mini",
    input: [{ role: "user", content: "Tell me a fun fact about hedgehogs" }],
    posthogDistinctId: "user_123", // optional
    posthogTraceId: "trace_123", // optional
    posthogProperties: { conversation_id: "abc123", paid: true }, // optional
    posthogGroups: { company: 

response = client.embeddings.create(
    input="The quick brown fox",
    model="text-embedding-3-small",
    posthog_distinct_id="user_123", # optional
    posthog_trace_id="trace_123",   # optional
    posthog_properties={"key": "value"} # optional
    posthog_groups={"company": "company_id_in_your_db"}  # optional
    posthog_privacy_mode=False # optional
)