phoenix/litellm-mirror
0
0
Fork 1
mirror of https://github.com/BerriAI/litellm.git synced 2025-04-27 11:43:54 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

convert response obj from vertex ai

Browse source
This commit is contained in:
Ishaan Jaff 2024-08-02 18:13:25 -07:00
parent 960de8a3d0
commit 0e70aca776
1 changed files with 32 additions and 3 deletions
Download patch file Download diff file Expand all files Collapse all files

35
litellm/llms/fine_tuning_apis/vertex_ai.py
View file

@ -1,5 +1,6 @@
import traceback
from typing import Any, Coroutine, Optional, Union
from datetime import datetime
from typing import Any, Coroutine, Literal, Optional, Union
import httpx
from openai.types.fine_tuning.fine_tuning_job import FineTuningJob, Hyperparameters
@ -27,12 +28,40 @@ class VertexFineTuningAPI(VertexLLM):
timeout=httpx.Timeout(timeout=600.0, connect=5.0)
)
def convert_response_created_at(self, response: ResponseTuningJob):
try:
create_time = datetime.fromisoformat(
response["createTime"].replace("Z", "+00:00")
)
# Convert to Unix timestamp (seconds since epoch)
created_at = int(create_time.timestamp())
return created_at
except Exception as e:
return 0
def convert_vertex_response_to_open_ai_response(
self, response: ResponseTuningJob
) -> FineTuningJob:
status: Literal[
"validating_files", "queued", "running", "succeeded", "failed", "cancelled"
] = "queued"
if response["state"] == "JOB_STATE_PENDING":
status = "validating_files"
if response["state"] == "JOB_STATE_SUCCEEDED":
status = "succeeded"
if response["state"] == "JOB_STATE_FAILED":
status = "failed"
if response["state"] == "JOB_STATE_CANCELLED":
status = "cancelled"
if response["state"] == "JOB_STATE_RUNNING":
status = "running"
created_at = self.convert_response_created_at(response)
return FineTuningJob(
id=response["name"],
created_at=1722645989,
created_at=created_at,
fine_tuned_model=response["tunedModelDisplayName"],
finished_at=None,
hyperparameters=Hyperparameters(
@ -43,7 +72,7 @@ class VertexFineTuningAPI(VertexLLM):
organization_id="",
result_files=[],
seed=0,
status="validating_files",
status=status,
trained_tokens=None,
training_file=response["supervisedTuningSpec"]["trainingDatasetUri"],
validation_file=None,