← Back to changelog
Marc Klingen
May 16, 2024
Mirascope integration
Marc KlingenMirascope is a Python toolkit for building LLM applications and it natively integrates with Langfuse.
Mirascope automatically passes the Langfuse observe() decorator to all relevant functions within Mirascope via its with_langfuse decorator.
import os
from mirascope.langfuse import with_langfuse
from mirascope.anthropic import AnthropicCall
os.environ["LANGFUSE_SECRET_KEY"] = "sk-lf-..."
os.environ["LANGFUSE_PUBLIC_KEY"] = "pk-lf-..."
os.environ["LANGFUSE_HOST"] = "https://cloud.langfuse.com"
@with_langfuse
class BookRecommender(AnthropicCall):
prompt_template = "Please recommend some {genre} books"
genre: str
recommender = BookRecommender(genre="fantasy")
response = recommender.call() # this will automatically get logged with langfuse
print(response.content)
#> Here are some recommendations for great fantasy book series: ...This will give you:
- A trace around the AnthropicCall.call() that captures items like the prompt template, and input/output attributes and more.
- Human-readable display of the conversation with the agent
- Details of the response, including the number of tokens used
