mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-03 01:48:05 +00:00
fix: remove telemetry_traceable (#4205)
# What does this PR do? Removes stale data from llama stack about old telemetry system **Depends on** https://github.com/llamastack/llama-stack/pull/4127 Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
This commit is contained in:
parent
7da733091a
commit
28ff6d8659
10 changed files with 0 additions and 41 deletions
|
|
@ -1,22 +0,0 @@
|
|||
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
||||
# All rights reserved.
|
||||
#
|
||||
# This source code is licensed under the terms described in the LICENSE file in
|
||||
# the root directory of this source tree.
|
||||
|
||||
|
||||
def telemetry_traceable(cls):
|
||||
"""
|
||||
Mark a protocol for automatic tracing when telemetry is enabled.
|
||||
|
||||
This is a metadata-only decorator with no dependencies on core.
|
||||
Actual tracing is applied by core routers at runtime if telemetry is enabled.
|
||||
|
||||
Usage:
|
||||
@runtime_checkable
|
||||
@telemetry_traceable
|
||||
class MyProtocol(Protocol):
|
||||
...
|
||||
"""
|
||||
cls.__marked_for_tracing__ = True
|
||||
return cls
|
||||
|
|
@ -9,7 +9,6 @@ from typing import Annotated, Literal, Protocol, runtime_checkable
|
|||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from llama_stack_api.common.tracing import telemetry_traceable
|
||||
from llama_stack_api.openai_responses import (
|
||||
OpenAIResponseInputFunctionToolCallOutput,
|
||||
OpenAIResponseMCPApprovalRequest,
|
||||
|
|
@ -157,7 +156,6 @@ class ConversationItemDeletedResource(BaseModel):
|
|||
|
||||
|
||||
@runtime_checkable
|
||||
@telemetry_traceable
|
||||
class Conversations(Protocol):
|
||||
"""Conversations
|
||||
|
||||
|
|
|
|||
|
|
@ -11,7 +11,6 @@ from fastapi import File, Form, Response, UploadFile
|
|||
from pydantic import BaseModel, Field
|
||||
|
||||
from llama_stack_api.common.responses import Order
|
||||
from llama_stack_api.common.tracing import telemetry_traceable
|
||||
from llama_stack_api.schema_utils import json_schema_type, webmethod
|
||||
from llama_stack_api.version import LLAMA_STACK_API_V1
|
||||
|
||||
|
|
@ -102,7 +101,6 @@ class OpenAIFileDeleteResponse(BaseModel):
|
|||
|
||||
|
||||
@runtime_checkable
|
||||
@telemetry_traceable
|
||||
class Files(Protocol):
|
||||
"""Files
|
||||
|
||||
|
|
|
|||
|
|
@ -22,7 +22,6 @@ from llama_stack_api.common.content_types import InterleavedContent
|
|||
from llama_stack_api.common.responses import (
|
||||
Order,
|
||||
)
|
||||
from llama_stack_api.common.tracing import telemetry_traceable
|
||||
from llama_stack_api.models import Model
|
||||
from llama_stack_api.schema_utils import json_schema_type, register_schema, webmethod
|
||||
from llama_stack_api.version import LLAMA_STACK_API_V1, LLAMA_STACK_API_V1ALPHA
|
||||
|
|
@ -989,7 +988,6 @@ class OpenAIEmbeddingsRequestWithExtraBody(BaseModel, extra="allow"):
|
|||
|
||||
|
||||
@runtime_checkable
|
||||
@telemetry_traceable
|
||||
class InferenceProvider(Protocol):
|
||||
"""
|
||||
This protocol defines the interface that should be implemented by all inference providers.
|
||||
|
|
|
|||
|
|
@ -9,7 +9,6 @@ from typing import Any, Literal, Protocol, runtime_checkable
|
|||
|
||||
from pydantic import BaseModel, ConfigDict, Field, field_validator
|
||||
|
||||
from llama_stack_api.common.tracing import telemetry_traceable
|
||||
from llama_stack_api.resource import Resource, ResourceType
|
||||
from llama_stack_api.schema_utils import json_schema_type, webmethod
|
||||
from llama_stack_api.version import LLAMA_STACK_API_V1
|
||||
|
|
@ -106,7 +105,6 @@ class OpenAIListModelsResponse(BaseModel):
|
|||
|
||||
|
||||
@runtime_checkable
|
||||
@telemetry_traceable
|
||||
class Models(Protocol):
|
||||
async def list_models(self) -> ListModelsResponse:
|
||||
"""List all models.
|
||||
|
|
|
|||
|
|
@ -10,7 +10,6 @@ from typing import Protocol, runtime_checkable
|
|||
|
||||
from pydantic import BaseModel, Field, field_validator, model_validator
|
||||
|
||||
from llama_stack_api.common.tracing import telemetry_traceable
|
||||
from llama_stack_api.schema_utils import json_schema_type, webmethod
|
||||
from llama_stack_api.version import LLAMA_STACK_API_V1
|
||||
|
||||
|
|
@ -93,7 +92,6 @@ class ListPromptsResponse(BaseModel):
|
|||
|
||||
|
||||
@runtime_checkable
|
||||
@telemetry_traceable
|
||||
class Prompts(Protocol):
|
||||
"""Prompts
|
||||
|
||||
|
|
|
|||
|
|
@ -9,7 +9,6 @@ from typing import Any, Protocol, runtime_checkable
|
|||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from llama_stack_api.common.tracing import telemetry_traceable
|
||||
from llama_stack_api.inference import OpenAIMessageParam
|
||||
from llama_stack_api.schema_utils import json_schema_type, webmethod
|
||||
from llama_stack_api.shields import Shield
|
||||
|
|
@ -94,7 +93,6 @@ class ShieldStore(Protocol):
|
|||
|
||||
|
||||
@runtime_checkable
|
||||
@telemetry_traceable
|
||||
class Safety(Protocol):
|
||||
"""Safety
|
||||
|
||||
|
|
|
|||
|
|
@ -8,7 +8,6 @@ from typing import Any, Literal, Protocol, runtime_checkable
|
|||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from llama_stack_api.common.tracing import telemetry_traceable
|
||||
from llama_stack_api.resource import Resource, ResourceType
|
||||
from llama_stack_api.schema_utils import json_schema_type, webmethod
|
||||
from llama_stack_api.version import LLAMA_STACK_API_V1
|
||||
|
|
@ -49,7 +48,6 @@ class ListShieldsResponse(BaseModel):
|
|||
|
||||
|
||||
@runtime_checkable
|
||||
@telemetry_traceable
|
||||
class Shields(Protocol):
|
||||
@webmethod(route="/shields", method="GET", level=LLAMA_STACK_API_V1)
|
||||
async def list_shields(self) -> ListShieldsResponse:
|
||||
|
|
|
|||
|
|
@ -11,7 +11,6 @@ from pydantic import BaseModel
|
|||
from typing_extensions import runtime_checkable
|
||||
|
||||
from llama_stack_api.common.content_types import URL, InterleavedContent
|
||||
from llama_stack_api.common.tracing import telemetry_traceable
|
||||
from llama_stack_api.resource import Resource, ResourceType
|
||||
from llama_stack_api.schema_utils import json_schema_type, webmethod
|
||||
from llama_stack_api.version import LLAMA_STACK_API_V1
|
||||
|
|
@ -109,7 +108,6 @@ class ListToolDefsResponse(BaseModel):
|
|||
|
||||
|
||||
@runtime_checkable
|
||||
@telemetry_traceable
|
||||
class ToolGroups(Protocol):
|
||||
@webmethod(route="/toolgroups", method="POST", level=LLAMA_STACK_API_V1, deprecated=True)
|
||||
async def register_tool_group(
|
||||
|
|
@ -191,7 +189,6 @@ class SpecialToolGroup(Enum):
|
|||
|
||||
|
||||
@runtime_checkable
|
||||
@telemetry_traceable
|
||||
class ToolRuntime(Protocol):
|
||||
tool_store: ToolStore | None = None
|
||||
|
||||
|
|
|
|||
|
|
@ -13,7 +13,6 @@ from typing import Annotated, Any, Literal, Protocol, runtime_checkable
|
|||
from fastapi import Body, Query
|
||||
from pydantic import BaseModel, Field, field_validator
|
||||
|
||||
from llama_stack_api.common.tracing import telemetry_traceable
|
||||
from llama_stack_api.inference import InterleavedContent
|
||||
from llama_stack_api.schema_utils import json_schema_type, register_schema, webmethod
|
||||
from llama_stack_api.vector_stores import VectorStore
|
||||
|
|
@ -572,7 +571,6 @@ class VectorStoreTable(Protocol):
|
|||
|
||||
|
||||
@runtime_checkable
|
||||
@telemetry_traceable
|
||||
class VectorIO(Protocol):
|
||||
vector_store_table: VectorStoreTable | None = None
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue