chore(deps): bump openai from 1.38.0 to 1.41.0 (#1065)

* chore(deps): bump openai from 1.38.0 to 1.41.0

Bumps [openai](https://github.com/openai/openai-python) from 1.38.0 to 1.41.0.
- [Release notes](https://github.com/openai/openai-python/releases)
- [Changelog](https://github.com/openai/openai-python/blob/main/CHANGELOG.md)
- [Commits](https://github.com/openai/openai-python/compare/v1.38.0...v1.41.0)

---
updated-dependencies:
- dependency-name: openai
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>

* ci: auto fixes from pre-commit.ci

For more information, see https://pre-commit.ci

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

pyproject.toml

@@ -41,7 +41,7 @@ dependencies = [
   "dulwich",
   "tabulate",
   "uv",
-  "openai==1.38.0",
+  "openai==1.41.0",
 ]
 keywords = [
   "MLOps",

src/openllm/__main__.py

@@ -9,14 +9,12 @@ from typing import Annotated, Optional
 import questionary
 import typer
 
-from openllm.accelerator_spec import (DeploymentTarget, can_run,
-                                      get_local_machine_spec)
+from openllm.accelerator_spec import DeploymentTarget, can_run, get_local_machine_spec
 from openllm.analytic import DO_NOT_TRACK, OpenLLMTyper
 from openllm.clean import app as clean_app
 from openllm.cloud import deploy as cloud_deploy
 from openllm.cloud import ensure_cloud_context, get_cloud_machine_spec
-from openllm.common import (CHECKED, INTERACTIVE, VERBOSE_LEVEL, BentoInfo,
-                            output)
+from openllm.common import CHECKED, INTERACTIVE, VERBOSE_LEVEL, BentoInfo, output
 from openllm.local import run as local_run
 from openllm.local import serve as local_serve
 from openllm.model import app as model_app

src/openllm/clean.py

@@ -5,8 +5,7 @@ import shutil
 import questionary
 
 from openllm.analytic import OpenLLMTyper
-from openllm.common import (CONFIG_FILE, REPO_DIR, VENV_DIR, VERBOSE_LEVEL,
-                            output)
+from openllm.common import CONFIG_FILE, REPO_DIR, VENV_DIR, VERBOSE_LEVEL, output
 
 app = OpenLLMTyper(help='clean up and release disk space used by OpenLLM')
 

src/openllm/cloud.py

@@ -9,8 +9,7 @@ import typer
 
 from openllm.accelerator_spec import ACCELERATOR_SPECS
 from openllm.analytic import OpenLLMTyper
-from openllm.common import (INTERACTIVE, BentoInfo, DeploymentTarget, output,
-                            run_command)
+from openllm.common import INTERACTIVE, BentoInfo, DeploymentTarget, output, run_command
 
 app = OpenLLMTyper()
 

src/openllm/model.py

@@ -54,11 +54,7 @@ def list_model(tag: Optional[str] = None, repo: Optional[str] = None, verbose: b
     output(table)
 
 
-def ensure_bento(
-    model: str,
-    target: Optional[DeploymentTarget] = None,
-    repo_name: Optional[str] = None,
-) -> BentoInfo:
+def ensure_bento(model: str, target: Optional[DeploymentTarget] = None, repo_name: Optional[str] = None) -> BentoInfo:
     bentos = list_bento(model, repo_name=repo_name)
     if len(bentos) == 0:
         output(f'No model found for {model}', style='red')
@@ -67,9 +63,11 @@ def ensure_bento(
     if len(bentos) == 1:
         output(f'Found model {bentos[0]}', style='green')
         if target is not None and can_run(bentos[0], target) <= 0:
-            output(f'The machine({target.name}) with {target.accelerators_repr} does not appear to have sufficient '
-                   f'resources to run model {bentos[0]}\n',
-                   style='yellow')
+            output(
+                f'The machine({target.name}) with {target.accelerators_repr} does not appear to have sufficient '
+                f'resources to run model {bentos[0]}\n',
+                style='yellow',
+            )
         return bentos[0]
 
     # multiple models, pick one according to target
@@ -90,14 +88,12 @@ def _extract_first_number(s: str):
 
 
 def list_bento(
-    tag: typing.Optional[str] = None,
-    repo_name: typing.Optional[str] = None,
-    include_alias: bool = False,
+    tag: typing.Optional[str] = None, repo_name: typing.Optional[str] = None, include_alias: bool = False
 ) -> typing.List[BentoInfo]:
     ensure_repo_updated()
 
-    if repo_name is None and tag and "/" in tag:
-        repo_name, tag = tag.split("/", 1)
+    if repo_name is None and tag and '/' in tag:
+        repo_name, tag = tag.split('/', 1)
 
     if repo_name is not None:
         config = load_config()