Linking prompts to traces enables tracking of metrics and evaluations per prompt version. It’s the foundation of improving prompt quality over time. After linking prompts and traces, you will see information about the prompt in the trace’s metadata.
Prompt information in trace span details
For more information about traces and spans, see the Concepts guide. When you use langwatch.prompts.get() within a trace context, LangWatch automatically links the prompt to the trace: 
import langwatch
from litellm import completion

# Initialize LangWatch
langwatch.setup()

@langwatch.trace()
def customer_support_generation():
    # Autotrack LiteLLM calls
    langwatch.get_current_trace().autotrack_litellm_calls(litellm)

    # Get prompt (automatically linked to trace when API key is present)
    prompt = langwatch.prompts.get("customer-support-bot")

    # Compile prompt with variables
    compiled_prompt = prompt.compile(
        user_name="John Doe",
        user_email="[email protected]",
        input="I need help with my account"
    )

    response = completion(
        model=prompt.model,
        messages=compiled_prompt.messages
    )

    return response.choices[0].message.content

# Call the function
result = customer_support_generation()
For more detailed information about setting up tracing in your application, see the Python Integration Guide or TypeScript Integration Guide.
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