Hugging Face

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(
    base_url="https://router.huggingface.co/v1/",
    api_key="<huggingface_api_key>",
)
response = client.chat.completions.create(
    model="meta-llama/Llama-3.3-70B-Instruct",
    max_completion_tokens=1024,
    messages=[
        {"role": "user", "content": "Tell me a fun fact about hedgehogs"}
    ],
)
print(response.choices[0].message.content)

import OpenAI from 'openai'
const client = new OpenAI({
  baseURL: 'https://router.huggingface.co/v1/',
  apiKey: '<huggingface_api_key>',
})
const response = await client.chat.completions.create({
  model: 'meta-llama/Llama-3.3-70B-Instruct',
  max_completion_tokens: 1024,