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Documentation Index

Fetch the complete documentation index at: https://braintrust.dev/docs/llms.txt

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

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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.

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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))

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Resources