​
概述

此示例演示如何为您的 Agno agent 添加 OpenInference 的检测，并将追踪发送到 Langfuse。

​
代码

import base64
import os

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools
from openinference.instrumentation.agno import AgnoInstrumentor
from opentelemetry import trace as trace_api
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor

LANGFUSE_AUTH = base64.b64encode(
    f"{os.getenv('LANGFUSE_PUBLIC_KEY')}:{os.getenv('LANGFUSE_SECRET_KEY')}".encode()
).decode()
os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"] = (
    "https://us.cloud.langfuse.com/api/public/otel"  # 🇺🇸 US data region
)
# os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"]="https://cloud.langfuse.com/api/public/otel" # 🇪🇺 EU data region
# os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"]="http://localhost:3000/api/public/otel" # 🏠 Local deployment (>= v3.22.0)

os.environ["OTEL_EXPORTER_OTLP_HEADERS"] = f"Authorization: Basic {LANGFUSE_AUTH}"

tracer_provider = TracerProvider()
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter()))
trace_api.set_tracer_provider(tracer_provider=tracer_provider)

# 开始为 agno 添加检测
AgnoInstrumentor().instrument()

agent = Agent(
    name="Stock Price Agent",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[YFinanceTools()],
    instructions="You are a stock price agent. Answer questions in the style of a stock analyst.",
    debug_mode=True,
)

agent.print_response("What is the current price of Tesla?")

​
用法

1

安装依赖

pip install agno openai langfuse opentelemetry-sdk opentelemetry-exporter-otlp openinference-instrumentation-agno
2

设置环境变量

export LANGFUSE_PUBLIC_KEY=<your-public-key>
export LANGFUSE_SECRET_KEY=<your-secret-key>
3

运行 Agent

python cookbook/observability/langfuse_via_openinference.py

​
注意事项

  • 数据区域: 根据需要调整 OTEL_EXPORTER_OTLP_ENDPOINT 以匹配您的数据区域或本地部署：
    • https://us.cloud.langfuse.com/api/public/otel 适用于美国区域
    • https://cloud.langfuse.com/api/public/otel 适用于欧盟区域
    • http://localhost:3000/api/public/otel 适用于本地部署