from mlflow.mistral.autolog import patched_class_call
from mlflow.utils.annotations import experimental
from mlflow.utils.autologging_utils import autologging_integration, safe_patch
FLAVOR_NAME = "mistral"
[docs]@experimental
@autologging_integration(FLAVOR_NAME)
def autolog(
log_traces: bool = True,
disable: bool = False,
silent: bool = False,
):
"""
Enables (or disables) and configures autologging from Mistral AI to MLflow.
Only synchronous calls to the Text generation API are supported.
Asynchronous APIs and streaming are not recorded.
Args:
log_traces: If ``True``, traces are logged for Mistral AI models.
If ``False``, no traces are collected during inference. Default to ``True``.
disable: If ``True``, disables the Mistral AI autologging. Default to ``False``.
silent: If ``True``, suppress all event logs and warnings from MLflow during Mistral AI
autologging. If ``False``, show all events and warnings.
"""
from mistralai.chat import Chat
safe_patch(
FLAVOR_NAME,
Chat,
"complete",
patched_class_call,
)