Observability

Fluiq auto-instruments every supported library after a single instrument() call. Select an integration below to see how traces flow into your dashboard.

Patches chat completions, streaming, embeddings, images, and audio — sync and async.

Python

import openai
from fluiq import instrument

instrument(api_key="fl_...")

client = openai.OpenAI()

# Chat completions — traced automatically
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Summarise this document"}],
)

# Streaming — also traced
with client.chat.completions.stream(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Write a haiku"}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

# Embeddings
client.embeddings.create(
    model="text-embedding-3-small",
    input=["Hello", "World"],
)