> ## Documentation Index
> Fetch the complete documentation index at: https://ikun.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Langfuse via OpenLIT

## 概述

此示例演示了如何通过 OpenLIT 使用 Langfuse 来追踪模型调用。

## 代码

```python theme={null}
import base64
import os

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

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}"

from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor

trace_provider = TracerProvider()
trace_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter()))

# Sets the global default tracer provider
from opentelemetry import trace

trace.set_tracer_provider(trace_provider)

# Creates a tracer from the global tracer provider
tracer = trace.get_tracer(__name__)

import openlit

# Initialize OpenLIT instrumentation. The disable_batch flag is set to true to process traces immediately.
openlit.init(tracer=tracer, disable_batch=True)

agent = Agent(
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[DuckDuckGoTools()],
    markdown=True,
    debug_mode=True,
)

agent.print_response("What is currently trending on Twitter?")
```

## 使用方法

<Steps>
  <Step title="安装依赖">
    ```bash theme={null}
    pip install agno openai langfuse openlit opentelemetry-sdk opentelemetry-exporter-otlp
    ```
  </Step>

  <Step title="设置环境变量">
    ```bash theme={null}
    export LANGFUSE_PUBLIC_KEY=<你的公共密钥>
    export LANGFUSE_SECRET_KEY=<你的密钥>
    ```
  </Step>

  <Step title="运行 Agent">
    <CodeGroup>
      ```bash Mac theme={null}
      python cookbook/observability/langfuse_via_openlit.py
      ```

      ```bash Windows theme={null}
      python cookbook/observability/langfuse_via_openlit.py
      ```
    </CodeGroup>
  </Step>
</Steps>

## 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