Wraps base classes to automatically use langfuse.
Supported base classes: BaseCall, BaseExtractor, BaseVectorStore,
BaseChunker, BaseEmbedder
Example:
from mirascope.openai import OpenAICall
from mirascope.langfuse import with_langfuse
@with_langfuse
class BookRecommender(OpenAICall):
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)
Source code in mirascope/langfuse/langfuse.py
| def with_langfuse(cls):
"""Wraps base classes to automatically use langfuse.
Supported base classes: `BaseCall`, `BaseExtractor`, `BaseVectorStore`,
`BaseChunker`, `BaseEmbedder`
Example:
```python
from mirascope.openai import OpenAICall
from mirascope.langfuse import with_langfuse
@with_langfuse
class BookRecommender(OpenAICall):
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)
```
"""
wrap_mirascope_class_functions(
cls,
handle_before_call=handle_before_call,
handle_after_call=handle_after_call,
decorator=observe(),
)
if cls._provider and cls._provider == "openai":
cls.configuration = cls.configuration.model_copy(
update={
"client_wrappers": [
*cls.configuration.client_wrappers,
"langfuse",
]
}
)
else:
cls.configuration = cls.configuration.model_copy(
update={
"llm_ops": [
*cls.configuration.llm_ops,
mirascope_langfuse_generation(),
]
}
)
return cls
|