Langfuse 通过 OpenInference

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

   Mac

   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