LangChain/LangGraph Quickstart — Send Agent Traces to Brixo

export OTEL_EXPORTER_OTLP_TRACES_HEADERS="Brixo-Auth=Bearer <BRIXO_API_KEY>"
export OTEL_EXPORTER_OTLP_ENDPOINT="https://otel-proxy.brixo.com:4318"

pip install opentelemetry-sdk opentelemetry-exporter-otlp traceloop-sdk openinference-instrumentation-langchain

python my_agent.py

export OTEL_EXPORTER_OTLP_TRACES_HEADERS="Brixo-Auth=Bearer <BRIXO_API_KEY>"
export OTEL_EXPORTER_OTLP_ENDPOINT="https://otel.brixo.com:4318"

# Core OpenTelemetry
pip install opentelemetry-sdk opentelemetry-exporter-otlp

# OpenLLMetry (Traceloop)
pip install traceloop-sdk

# OpenInference instrumentation for LangChain
pip install openinference-instrumentation-langchain

# your_agent.py

# --- Add these imports at the top of your file ---
from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from openinference.instrumentation.langchain import LangChainInstrumentor
from traceloop.sdk import Traceloop
from langchain.schema import HumanMessage

# --- Initialize the exporter and instrumentation ---
exporter = OTLPSpanExporter()

# Important: Keep this order so spans are properly captured and merged.
LangChainInstrumentor().instrument()
Traceloop.init(app_name="brixo-demo", exporter=exporter)

# --- Your existing agent code below ---
agent = ...  # however your agent is defined or imported

# Wrap your agent call in a top-level span
tracer = trace.get_tracer(__name__)
with tracer.start_as_current_span("Agent"):
    messages = [HumanMessage(content="Add 3 and 4.")]
    response = agent.invoke({"messages": messages})