​
概述

此示例演示了如何使用 OpenInference 为您的 Agno Agent 添加代理，并将追踪信息发送到 LangSmith。

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代码

import os

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
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

# 设置 LangSmith 的端点和请求头
endpoint = "https://eu.api.smith.langchain.com/otel/v1/traces"
headers = {
    "x-api-key": os.getenv("LANGSMITH_API_KEY"),
    "Langsmith-Project": os.getenv("LANGSMITH_PROJECT"),
}

# 配置追踪提供程序
tracer_provider = TracerProvider()
tracer_provider.add_span_processor(
    SimpleSpanProcessor(OTLPSpanExporter(endpoint=endpoint, headers=headers))
)
trace_api.set_tracer_provider(tracer_provider=tracer_provider)

# 开始为 agno 添加代理
AgnoInstrumentor().instrument()

# 创建并配置代理
agent = Agent(
    name="Stock Market Agent",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[DuckDuckGoTools()],
    markdown=True,
    debug_mode=True,
)

# 使用代理
agent.print_response("What is news on the stock market?")

​
用法

1

安装依赖项

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

设置环境变量

export LANGSMITH_API_KEY=<your-key>
export LANGSMITH_TRACING=true
export LANGSMITH_ENDPOINT=https://eu.api.smith.langchain.com  # or https://api.smith.langchain.com for US
export LANGSMITH_PROJECT=<your-project-name>
3

运行代理

python cookbook/observability/langsmith_via_openinference.py

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注意事项

  • 数据区域: 根据您的数据区域选择合适的 LANGSMITH_ENDPOINT。