feat: drop python 3.10 support (#2469)

# What does this PR do?

dropped python3.10, updated pyproject and dependencies, and also removed
some blocks of code with special handling for enum.StrEnum

Closes #2458

Signed-off-by: Charlie Doern <cdoern@redhat.com>

.github/actions/setup-runner/action.yml

@@ -4,7 +4,7 @@ inputs:
   python-version:
     description: The Python version to use
     required: false
-    default: "3.10"
+    default: "3.11"
 runs:
   using: "composite"
   steps:

.github/workflows/integration-tests.yml

@@ -26,7 +26,7 @@ jobs:
         # TODO: generate matrix list from tests/integration when fixed
         test-type: [agents, inference, datasets, inspect, scoring, post_training, providers, tool_runtime, vector_io]
         client-type: [library, http]
-        python-version: ["3.10", "3.11", "3.12"]
+        python-version: ["3.11", "3.12"]
       fail-fast: false # we want to run all tests regardless of failure
 
     steps:

.github/workflows/unit-tests.yml

@@ -25,7 +25,6 @@ jobs:
       fail-fast: false
       matrix:
         python:
-          - "3.10"
           - "3.11"
           - "3.12"
           - "3.13"

llama_stack/apis/agents/agents.py

@@ -4,10 +4,9 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-import sys
 from collections.abc import AsyncIterator
 from datetime import datetime
-from enum import Enum
+from enum import StrEnum
 from typing import Annotated, Any, Literal, Protocol, runtime_checkable
 
 from pydantic import BaseModel, ConfigDict, Field
@@ -40,14 +39,6 @@ from .openai_responses import (
     OpenAIResponseText,
 )
 
-# TODO: use enum.StrEnum when we drop support for python 3.10
-if sys.version_info >= (3, 11):
-    from enum import StrEnum
-else:
-
-    class StrEnum(str, Enum):
-        """Backport of StrEnum for Python 3.10 and below."""
-
 
 class Attachment(BaseModel):
     """An attachment to an agent turn.

llama_stack/apis/inference/inference.py

@@ -4,7 +4,6 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-import sys
 from collections.abc import AsyncIterator
 from enum import Enum
 from typing import (
@@ -37,15 +36,7 @@ register_schema(ToolCall)
 register_schema(ToolParamDefinition)
 register_schema(ToolDefinition)
 
-# TODO: use enum.StrEnum when we drop support for python 3.10
-if sys.version_info >= (3, 11):
-    from enum import StrEnum
-else:
-
-    class StrEnum(str, Enum):
-        """Backport of StrEnum for Python 3.10 and below."""
-
-        pass
+from enum import StrEnum
 
 
 @json_schema_type

llama_stack/apis/resource.py

@@ -4,21 +4,11 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-import sys
-from enum import Enum
+
+from enum import StrEnum
 
 from pydantic import BaseModel, Field
 
-# TODO: use enum.StrEnum when we drop support for python 3.10
-if sys.version_info >= (3, 11):
-    from enum import StrEnum
-else:
-
-    class StrEnum(str, Enum):
-        """Backport of StrEnum for Python 3.10 and below."""
-
-        pass
-
 
 class ResourceType(StrEnum):
     model = "model"

llama_stack/apis/scoring_functions/scoring_functions.py

@@ -5,8 +5,7 @@
 # the root directory of this source tree.
 
 # TODO: use enum.StrEnum when we drop support for python 3.10
-import sys
-from enum import Enum
+from enum import StrEnum
 from typing import (
     Annotated,
     Any,
@@ -21,15 +20,6 @@ from llama_stack.apis.common.type_system import ParamType
 from llama_stack.apis.resource import Resource, ResourceType
 from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
 
-if sys.version_info >= (3, 11):
-    from enum import StrEnum
-else:
-
-    class StrEnum(str, Enum):
-        """Backport of StrEnum for Python 3.10 and below."""
-
-        pass
-
 
 # Perhaps more structure can be imposed on these functions. Maybe they could be associated
 # with standard metrics so they can be rolled up?

llama_stack/cli/download.py

@@ -11,7 +11,7 @@ import os
 import shutil
 import sys
 from dataclasses import dataclass
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from functools import partial
 from pathlib import Path
 
@@ -409,7 +409,7 @@ def _download_from_manifest(manifest_file: str, max_concurrent_downloads: int):
         d = json.load(f)
         manifest = Manifest(**d)
 
-    if datetime.now(timezone.utc) > manifest.expires_on.astimezone(timezone.utc):
+    if datetime.now(UTC) > manifest.expires_on.astimezone(UTC):
         raise ValueError(f"Manifest URLs have expired on {manifest.expires_on}")
 
     console = Console()

llama_stack/distribution/access_control/datatypes.py

@@ -5,9 +5,9 @@
 # the root directory of this source tree.
 
 from enum import Enum
+from typing import Self
 
 from pydantic import BaseModel, model_validator
-from typing_extensions import Self
 
 from .conditions import parse_conditions
 

llama_stack/distribution/build.py

@@ -101,7 +101,7 @@ def build_image(
     template_or_config: str,
     run_config: str | None = None,
 ):
-    container_base = build_config.distribution_spec.container_image or "python:3.10-slim"
+    container_base = build_config.distribution_spec.container_image or "python:3.11-slim"
 
     normal_deps, special_deps = get_provider_dependencies(build_config)
     normal_deps += SERVER_DEPENDENCIES

llama_stack/distribution/build_conda_env.sh

@@ -49,7 +49,7 @@ ensure_conda_env_python310() {
   local env_name="$1"
   local pip_dependencies="$2"
   local special_pip_deps="$3"
-  local python_version="3.10"
+  local python_version="3.11"
 
   # Check if conda command is available
   if ! is_command_available conda; then

llama_stack/distribution/providers.py

@@ -99,7 +99,7 @@ class ProviderImpl(Providers):
             try:
                 health = await asyncio.wait_for(impl.health(), timeout=timeout)
                 return api_name, health
-            except (asyncio.TimeoutError, TimeoutError):
+            except TimeoutError:
                 return (
                     api_name,
                     HealthResponse(

llama_stack/distribution/routers/inference.py

@@ -615,7 +615,7 @@ class InferenceRouter(Inference):
                     continue
                 health = await asyncio.wait_for(impl.health(), timeout=timeout)
                 health_statuses[provider_id] = health
-            except (asyncio.TimeoutError, TimeoutError):
+            except TimeoutError:
                 health_statuses[provider_id] = HealthResponse(
                     status=HealthStatus.ERROR,
                     message=f"Health check timed out after {timeout} seconds",

llama_stack/distribution/server/auth_providers.py

@@ -9,12 +9,12 @@ import time
 from abc import ABC, abstractmethod
 from asyncio import Lock
 from pathlib import Path
+from typing import Self
 from urllib.parse import parse_qs
 
 import httpx
 from jose import jwt
 from pydantic import BaseModel, Field, field_validator, model_validator
-from typing_extensions import Self
 
 from llama_stack.distribution.datatypes import AuthenticationConfig, AuthProviderType, User
 from llama_stack.log import get_logger

llama_stack/distribution/server/quota.py

@@ -6,7 +6,7 @@
 
 import json
 import time
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 
 from starlette.types import ASGIApp, Receive, Scope, Send
 
@@ -79,7 +79,7 @@ class QuotaMiddleware:
 
                 if int(prev) == 0:
                     # Set with expiration datetime when it is the first request in the window.
-                    expiration = datetime.now(timezone.utc) + timedelta(seconds=self.window_seconds)
+                    expiration = datetime.now(UTC) + timedelta(seconds=self.window_seconds)
                     await kv.set(key, str(count), expiration=expiration)
                 else:
                     await kv.set(key, str(count))

llama_stack/distribution/server/server.py

@@ -145,7 +145,7 @@ async def shutdown(app):
                 await asyncio.wait_for(impl.shutdown(), timeout=5)
             else:
                 logger.warning("No shutdown method for %s", impl_name)
-        except (asyncio.TimeoutError, TimeoutError):
+        except TimeoutError:
             logger.exception("Shutdown timeout for %s ", impl_name, exc_info=True)
         except (Exception, asyncio.CancelledError) as e:
             logger.exception("Failed to shutdown %s: %s", impl_name, {e})

llama_stack/providers/inline/agents/meta_reference/agent_instance.py

@@ -11,7 +11,7 @@ import secrets
 import string
 import uuid
 from collections.abc import AsyncGenerator
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 
 import httpx
 
@@ -242,7 +242,7 @@ class ChatAgent(ShieldRunnerMixin):
             in_progress_tool_call_step = await self.storage.get_in_progress_tool_call_step(
                 request.session_id, request.turn_id
             )
-            now = datetime.now(timezone.utc).isoformat()
+            now = datetime.now(UTC).isoformat()
             tool_execution_step = ToolExecutionStep(
                 step_id=(in_progress_tool_call_step.step_id if in_progress_tool_call_step else str(uuid.uuid4())),
                 turn_id=request.turn_id,
@@ -267,7 +267,7 @@ class ChatAgent(ShieldRunnerMixin):
             start_time = last_turn.started_at
         else:
             messages.extend(request.messages)
-            start_time = datetime.now(timezone.utc).isoformat()
+            start_time = datetime.now(UTC).isoformat()
             input_messages = request.messages
 
         output_message = None
@@ -298,7 +298,7 @@ class ChatAgent(ShieldRunnerMixin):
             input_messages=input_messages,
             output_message=output_message,
             started_at=start_time,
-            completed_at=datetime.now(timezone.utc).isoformat(),
+            completed_at=datetime.now(UTC).isoformat(),
             steps=steps,
         )
         await self.storage.add_turn_to_session(request.session_id, turn)
@@ -389,7 +389,7 @@ class ChatAgent(ShieldRunnerMixin):
                 return
 
             step_id = str(uuid.uuid4())
-            shield_call_start_time = datetime.now(timezone.utc).isoformat()
+            shield_call_start_time = datetime.now(UTC).isoformat()
             try:
                 yield AgentTurnResponseStreamChunk(
                     event=AgentTurnResponseEvent(
@@ -413,7 +413,7 @@ class ChatAgent(ShieldRunnerMixin):
                                 turn_id=turn_id,
                                 violation=e.violation,
                                 started_at=shield_call_start_time,
-                                completed_at=datetime.now(timezone.utc).isoformat(),
+                                completed_at=datetime.now(UTC).isoformat(),
                             ),
                         )
                     )
@@ -436,7 +436,7 @@ class ChatAgent(ShieldRunnerMixin):
                             turn_id=turn_id,
                             violation=None,
                             started_at=shield_call_start_time,
-                            completed_at=datetime.now(timezone.utc).isoformat(),
+                            completed_at=datetime.now(UTC).isoformat(),
                         ),
                     )
                 )
@@ -491,7 +491,7 @@ class ChatAgent(ShieldRunnerMixin):
             client_tools[tool.name] = tool
         while True:
             step_id = str(uuid.uuid4())
-            inference_start_time = datetime.now(timezone.utc).isoformat()
+            inference_start_time = datetime.now(UTC).isoformat()
             yield AgentTurnResponseStreamChunk(
                 event=AgentTurnResponseEvent(
                     payload=AgentTurnResponseStepStartPayload(
@@ -603,7 +603,7 @@ class ChatAgent(ShieldRunnerMixin):
                             turn_id=turn_id,
                             model_response=copy.deepcopy(message),
                             started_at=inference_start_time,
-                            completed_at=datetime.now(timezone.utc).isoformat(),
+                            completed_at=datetime.now(UTC).isoformat(),
                         ),
                     )
                 )
@@ -681,7 +681,7 @@ class ChatAgent(ShieldRunnerMixin):
                             "input": message.model_dump_json(),
                         },
                     ) as span:
-                        tool_execution_start_time = datetime.now(timezone.utc).isoformat()
+                        tool_execution_start_time = datetime.now(UTC).isoformat()
                         tool_result = await self.execute_tool_call_maybe(
                             session_id,
                             tool_call,
@@ -710,7 +710,7 @@ class ChatAgent(ShieldRunnerMixin):
                                 )
                             ],
                             started_at=tool_execution_start_time,
-                            completed_at=datetime.now(timezone.utc).isoformat(),
+                            completed_at=datetime.now(UTC).isoformat(),
                         )
 
                         # Yield the step completion event
@@ -747,7 +747,7 @@ class ChatAgent(ShieldRunnerMixin):
                             turn_id=turn_id,
                             tool_calls=client_tool_calls,
                             tool_responses=[],
-                            started_at=datetime.now(timezone.utc).isoformat(),
+                            started_at=datetime.now(UTC).isoformat(),
                         ),
                     )
 

llama_stack/providers/inline/agents/meta_reference/agents.py

@@ -7,7 +7,7 @@
 import logging
 import uuid
 from collections.abc import AsyncGenerator
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 
 from llama_stack.apis.agents import (
     Agent,
@@ -93,7 +93,7 @@ class MetaReferenceAgentsImpl(Agents):
         agent_config: AgentConfig,
     ) -> AgentCreateResponse:
         agent_id = str(uuid.uuid4())
-        created_at = datetime.now(timezone.utc)
+        created_at = datetime.now(UTC)
 
         agent_info = AgentInfo(
             **agent_config.model_dump(),

llama_stack/providers/inline/agents/meta_reference/persistence.py

@@ -7,7 +7,7 @@
 import json
 import logging
 import uuid
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 
 from llama_stack.apis.agents import AgentConfig, Session, ToolExecutionStep, Turn
 from llama_stack.distribution.access_control.access_control import AccessDeniedError, is_action_allowed
@@ -47,7 +47,7 @@ class AgentPersistence:
         session_info = AgentSessionInfo(
             session_id=session_id,
             session_name=name,
-            started_at=datetime.now(timezone.utc),
+            started_at=datetime.now(UTC),
             owner=user,
             turns=[],
             identifier=name,  # should this be qualified in any way?

llama_stack/providers/inline/post_training/huggingface/recipes/finetune_single_device.py

@@ -11,7 +11,7 @@ import multiprocessing
 import os
 import signal
 import sys
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 from typing import Any
 
@@ -670,7 +670,7 @@ class HFFinetuningSingleDevice:
                 # Create checkpoint
                 checkpoint = Checkpoint(
                     identifier=f"{model}-sft-{config.n_epochs}",
-                    created_at=datetime.now(timezone.utc),
+                    created_at=datetime.now(UTC),
                     epoch=config.n_epochs,
                     post_training_job_id=job_uuid,
                     path=str(output_dir_path / "merged_model"),

llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py

@@ -7,7 +7,7 @@
 import logging
 import os
 import time
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from functools import partial
 from pathlib import Path
 from typing import Any
@@ -537,7 +537,7 @@ class LoraFinetuningSingleDevice:
             checkpoint_path = await self.save_checkpoint(epoch=curr_epoch)
             checkpoint = Checkpoint(
                 identifier=f"{self.model_id}-sft-{curr_epoch}",
-                created_at=datetime.now(timezone.utc),
+                created_at=datetime.now(UTC),
                 epoch=curr_epoch,
                 post_training_job_id=self.job_uuid,
                 path=checkpoint_path,

llama_stack/providers/inline/telemetry/meta_reference/console_span_processor.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree.
 
 import json
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 
 from opentelemetry.sdk.trace import ReadableSpan
 from opentelemetry.sdk.trace.export import SpanProcessor
@@ -34,7 +34,7 @@ class ConsoleSpanProcessor(SpanProcessor):
         if span.attributes and span.attributes.get("__autotraced__"):
             return
 
-        timestamp = datetime.fromtimestamp(span.start_time / 1e9, tz=timezone.utc).strftime("%H:%M:%S.%f")[:-3]
+        timestamp = datetime.fromtimestamp(span.start_time / 1e9, tz=UTC).strftime("%H:%M:%S.%f")[:-3]
 
         print(
             f"{COLORS['dim']}{timestamp}{COLORS['reset']} "
@@ -46,7 +46,7 @@ class ConsoleSpanProcessor(SpanProcessor):
         if span.attributes and span.attributes.get("__autotraced__"):
             return
 
-        timestamp = datetime.fromtimestamp(span.end_time / 1e9, tz=timezone.utc).strftime("%H:%M:%S.%f")[:-3]
+        timestamp = datetime.fromtimestamp(span.end_time / 1e9, tz=UTC).strftime("%H:%M:%S.%f")[:-3]
 
         span_context = (
             f"{COLORS['dim']}{timestamp}{COLORS['reset']} "
@@ -74,7 +74,7 @@ class ConsoleSpanProcessor(SpanProcessor):
                 print(f"    {COLORS['dim']}{key}: {str_value}{COLORS['reset']}")
 
         for event in span.events:
-            event_time = datetime.fromtimestamp(event.timestamp / 1e9, tz=timezone.utc).strftime("%H:%M:%S.%f")[:-3]
+            event_time = datetime.fromtimestamp(event.timestamp / 1e9, tz=UTC).strftime("%H:%M:%S.%f")[:-3]
 
             severity = event.attributes.get("severity", "info")
             message = event.attributes.get("message", event.name)

llama_stack/providers/inline/telemetry/meta_reference/sqlite_span_processor.py

@@ -8,7 +8,7 @@ import json
 import os
 import sqlite3
 import threading
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 
 from opentelemetry.sdk.trace import SpanProcessor
 from opentelemetry.trace import Span
@@ -125,8 +125,8 @@ class SQLiteSpanProcessor(SpanProcessor):
                     trace_id,
                     service_name,
                     (span_id if span.attributes.get("__root_span__") == "true" else None),
-                    datetime.fromtimestamp(span.start_time / 1e9, timezone.utc).isoformat(),
-                    datetime.fromtimestamp(span.end_time / 1e9, timezone.utc).isoformat(),
+                    datetime.fromtimestamp(span.start_time / 1e9, UTC).isoformat(),
+                    datetime.fromtimestamp(span.end_time / 1e9, UTC).isoformat(),
                 ),
             )
 
@@ -144,8 +144,8 @@ class SQLiteSpanProcessor(SpanProcessor):
                     trace_id,
                     parent_span_id,
                     span.name,
-                    datetime.fromtimestamp(span.start_time / 1e9, timezone.utc).isoformat(),
-                    datetime.fromtimestamp(span.end_time / 1e9, timezone.utc).isoformat(),
+                    datetime.fromtimestamp(span.start_time / 1e9, UTC).isoformat(),
+                    datetime.fromtimestamp(span.end_time / 1e9, UTC).isoformat(),
                     json.dumps(dict(span.attributes)),
                     span.status.status_code.name,
                     span.kind.name,
@@ -162,7 +162,7 @@ class SQLiteSpanProcessor(SpanProcessor):
                     (
                         span_id,
                         event.name,
-                        datetime.fromtimestamp(event.timestamp / 1e9, timezone.utc).isoformat(),
+                        datetime.fromtimestamp(event.timestamp / 1e9, UTC).isoformat(),
                         json.dumps(dict(event.attributes)),
                     ),
                 )

llama_stack/providers/utils/bedrock/refreshable_boto_session.py

@@ -87,9 +87,7 @@ class RefreshableBotoSession:
                 "access_key": session_credentials.access_key,
                 "secret_key": session_credentials.secret_key,
                 "token": session_credentials.token,
-                "expiry_time": datetime.datetime.fromtimestamp(
-                    time() + self.session_ttl, datetime.timezone.utc
-                ).isoformat(),
+                "expiry_time": datetime.datetime.fromtimestamp(time() + self.session_ttl, datetime.UTC).isoformat(),
             }
 
         return credentials

llama_stack/providers/utils/inference/stream_utils.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree.
 
 from collections.abc import AsyncIterator
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from typing import Any
 
 from llama_stack.apis.inference import (
@@ -122,7 +122,7 @@ async def stream_and_store_openai_completion(
             final_response = OpenAIChatCompletion(
                 id=id,
                 choices=assembled_choices,
-                created=created or int(datetime.now(timezone.utc).timestamp()),
+                created=created or int(datetime.now(UTC).timestamp()),
                 model=model,
                 object="chat.completion",
             )

llama_stack/providers/utils/scheduler.py

@@ -9,7 +9,7 @@ import asyncio
 import functools
 import threading
 from collections.abc import Callable, Coroutine, Iterable
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from enum import Enum
 from typing import Any, TypeAlias
 
@@ -61,7 +61,7 @@ class Job:
         self._handler = handler
         self._artifacts: list[JobArtifact] = []
         self._logs: list[LogMessage] = []
-        self._state_transitions: list[tuple[datetime, JobStatus]] = [(datetime.now(timezone.utc), JobStatus.new)]
+        self._state_transitions: list[tuple[datetime, JobStatus]] = [(datetime.now(UTC), JobStatus.new)]
 
     @property
     def handler(self) -> JobHandler:
@@ -77,7 +77,7 @@ class Job:
             raise ValueError(f"Job is already in a completed state ({self.status})")
         if self.status == status:
             return
-        self._state_transitions.append((datetime.now(timezone.utc), status))
+        self._state_transitions.append((datetime.now(UTC), status))
 
     @property
     def artifacts(self) -> list[JobArtifact]:
@@ -215,7 +215,7 @@ class Scheduler:
         self._backend = _get_backend_impl(backend)
 
     def _on_log_message_cb(self, job: Job, message: str) -> None:
-        msg = (datetime.now(timezone.utc), message)
+        msg = (datetime.now(UTC), message)
         # At least for the time being, until there's a better way to expose
         # logs to users, log messages on console
         logger.info(f"Job {job.id}: {message}")

llama_stack/providers/utils/telemetry/tracing.py

@@ -11,7 +11,7 @@ import queue
 import random
 import threading
 from collections.abc import Callable
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from functools import wraps
 from typing import Any
 
@@ -121,7 +121,7 @@ class TraceContext:
             span_id=generate_span_id(),
             trace_id=self.trace_id,
             name=name,
-            start_time=datetime.now(timezone.utc),
+            start_time=datetime.now(UTC),
             parent_span_id=current_span.span_id if current_span else None,
             attributes=attributes,
         )
@@ -239,7 +239,7 @@ class TelemetryHandler(logging.Handler):
             UnstructuredLogEvent(
                 trace_id=span.trace_id,
                 span_id=span.span_id,
-                timestamp=datetime.now(timezone.utc),
+                timestamp=datetime.now(UTC),
                 message=self.format(record),
                 severity=severity(record.levelname),
             )

pyproject.toml

@@ -8,7 +8,7 @@ version = "0.2.11"
 authors = [{ name = "Meta Llama", email = "llama-oss@meta.com" }]
 description = "Llama Stack"
 readme = "README.md"
-requires-python = ">=3.10"
+requires-python = ">=3.11"
 license = { "text" = "MIT" }
 classifiers = [
     "License :: OSI Approved :: MIT License",

scripts/unit-tests.sh

@@ -6,7 +6,7 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-PYTHON_VERSION=${PYTHON_VERSION:-3.10}
+PYTHON_VERSION=${PYTHON_VERSION:-3.11}
 
 command -v uv >/dev/null 2>&1 || { echo >&2 "uv is required but it's not installed. Exiting."; exit 1; }
 

tests/external-provider/llama-stack-provider-ollama/pyproject.toml

@@ -40,4 +40,4 @@ name = "llama-stack-provider-ollama"
 version = "0.1.0"
 description = "External provider for Ollama using the Llama Stack API"
 readme = "README.md"
-requires-python = ">=3.10"
+requires-python = ">=3.11"

tests/unit/README.md

@@ -13,7 +13,7 @@ Any additional arguments are passed to pytest. For example, you can specify a te
 ./scripts/unit-tests.sh tests/unit/registry/test_registry.py -vvv
 ```
 
-If you'd like to run for a non-default version of Python (currently 3.10), pass `PYTHON_VERSION` variable as follows:
+If you'd like to run for a non-default version of Python (currently 3.11), pass `PYTHON_VERSION` variable as follows:
 
 ```
 source .venv/bin/activate

uv.lock

@@ -1,6 +1,6 @@
 version = 1
 revision = 2
-requires-python = ">=3.10"
+requires-python = ">=3.11"
 resolution-markers = [
     "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
     "python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",