TraceLoop

TraceLoop OpenLLMetry is an observability framework for LLM applications. Braintrust integrates with TraceLoop via OpenTelemetry to capture LLM calls, workflows, and application traces.

Setup

This integration uses Braintrust’s Python SDK OpenTelemetry configuration. Install Traceloop alongside the Braintrust SDK with OpenTelemetry support and the OpenAI client:

pip install "braintrust[otel]" traceloop openai

Configure your environment variables:

.env

TRACELOOP_BASE_URL=https://api.braintrust.dev/otel
TRACELOOP_HEADERS="Authorization=Bearer%20<Your API Key>, x-bt-parent=project_id:<Your Project ID>"

When setting the bearer token, encode the space between “Bearer” and your API key using %20.

Trace with TraceLoop

Initialize TraceLoop and your traces will automatically be sent to the Braintrust project specified in the x-bt-parent header:

traceloop_braintrust.py

from openai import OpenAI
from traceloop.sdk import Traceloop
from traceloop.sdk.decorators import workflow

Traceloop.init(disable_batch=True)
client = OpenAI()

@workflow(name="story")
def run_story_stream(client):
    completion = client.chat.completions.create(
        model="gpt-4o-mini",
        messages=[{"role": "user", "content": "Tell me a short story about LLM evals."}],
    )
    return completion.choices[0].message.content

print(run_story_stream(client))

Resources

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⌘I

AI providers

SDKs

Developer tools

Setup

Trace with TraceLoop

Resources

​Setup

​Trace with TraceLoop

​Resources

Setup

Trace with TraceLoop

Resources