OpenAI

from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.resources import Resource, SERVICE_NAME
from posthog.ai.otel import PostHogSpanProcessor
from opentelemetry.instrumentation.openai_v2 import OpenAIInstrumentor
resource = Resource(attributes={
    SERVICE_NAME: "my-app",
    "posthog.distinct_id": "user_123", # optional: identifies the user in PostHog
    "foo": "bar", # custom properties are passed through
})
provider = TracerProvider(resource=resource)
provider.add_span_processor(
    PostHogSpanProcessor(
        api_key="<ph_project_token>",
        host="https://us.i.posthog.com",
    )
)
trace.set_tracer_provider(provider)
OpenAIInstrumentor().instrument()

import { NodeSDK } from '@opentelemetry/sdk-node'
import { resourceFromAttributes } from '@opentelemetry/resources'
import { PostHogSpanProcessor } from '@posthog/ai/otel'
import { OpenAIInstrumentation } from '@opentelemetry/instrumentation-openai'
const sdk = new NodeSDK({
  resource: resourceFromAttributes({
    'service.name'

import openai
client = openai.OpenAI(
    api_key="your_openai_api_key",
)
response = client.responses.create(
    model="gpt-5-mini",
    input=[
        {"role": "user", "content": "Tell me a fun fact about hedgehogs"}
    ],
)
print(response.output_text)

import OpenAI from 'openai'
const client = new OpenAI({
  apiKey: 'your_openai_api_key',
})
const response = await client.responses.create({
  model: 'gpt-5-mini',
  input: [{ role: 'user', content: 'Tell me a fun fact about hedgehogs' }],
})
console.log(response.output_text)

response = client.embeddings.create(
    input="The quick brown fox",
    model="text-embedding-3-small",
)

const response = await client.embeddings.create({
  input: 'The quick brown fox',
  model: 'text-embedding-3-small',
})