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fix(bonus-unit2): update deprecated Langfuse API and add missing ddgs dependency #681

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fix(bonus-unit2): update deprecated Langfuse API and add missing ddgs dependency #681

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25 changes: 12 additions & 13 deletions units/en/bonus-unit2/monitoring-and-evaluating-agents-notebook.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@ We will need a few libraries that allow us to run, monitor, and evaluate our age


```python
%pip install langfuse 'smolagents[telemetry]' openinference-instrumentation-smolagents datasets 'smolagents[gradio]' gradio --upgrade
%pip install langfuse 'smolagents[telemetry]' openinference-instrumentation-smolagents datasets 'smolagents[gradio]' gradio ddgs --upgrade
```

## Step 1: Instrument Your Agent
Expand Down Expand Up @@ -164,30 +164,29 @@ You may also pass additional attributes to your spans. These can include `user_i

```python
from smolagents import (CodeAgent, DuckDuckGoSearchTool, InferenceClientModel)
from langfuse import get_client, propagate_attributes

langfuse = get_client()

search_tool = DuckDuckGoSearchTool()
agent = CodeAgent(
tools=[search_tool],
model=InferenceClientModel()
)

with langfuse.start_as_current_span(
with langfuse.start_as_current_observation(
as_type="span",
name="Smolagent-Trace",
) as span:

# Run your application here
response = agent.run("What is the capital of Germany?")

# Pass additional attributes to the span
span.update_trace(
input="What is the capital of Germany?",
output=response,
) as span:
# Propagate additional attributes to all child observations
with propagate_attributes(
user_id="smolagent-user-123",
session_id="smolagent-session-123456789",
tags=["city-question", "testing-agents"],
metadata={"email": "user@langfuse.com"},
)

):
response = agent.run("What is the capital of Germany?")

# Flush events in short-lived applications
langfuse.flush()
```
Expand Down