fix: remove parts of trace_protocol and telemetry that were overlooked

benchmarking/k8s-benchmark/stack-configmap.yaml

@@ -9,7 +9,6 @@ data:
     - inference
     - files
     - safety
-    - telemetry
     - tool_runtime
     - vector_io
     providers:
@@ -67,12 +66,6 @@ data:
             db: ${env.POSTGRES_DB:=llamastack}
             user: ${env.POSTGRES_USER:=llamastack}
             password: ${env.POSTGRES_PASSWORD:=llamastack}
-      telemetry:
-      - provider_id: meta-reference
-        provider_type: inline::meta-reference
-        config:
-          service_name: "${env.OTEL_SERVICE_NAME:=\u200B}"
-          sinks: ${env.TELEMETRY_SINKS:=console}
       tool_runtime:
       - provider_id: brave-search
         provider_type: remote::brave-search

docs/docs/distributions/k8s/stack-configmap.yaml

@@ -8,7 +8,6 @@ data:
     - inference
     - files
     - safety
-    - telemetry
     - tool_runtime
     - vector_io
     providers:
@@ -73,12 +72,6 @@ data:
             db: ${env.POSTGRES_DB:=llamastack}
             user: ${env.POSTGRES_USER:=llamastack}
             password: ${env.POSTGRES_PASSWORD:=llamastack}
-      telemetry:
-      - provider_id: meta-reference
-        provider_type: inline::meta-reference
-        config:
-          service_name: "${env.OTEL_SERVICE_NAME:=\u200B}"
-          sinks: ${env.TELEMETRY_SINKS:=console}
       tool_runtime:
       - provider_id: brave-search
         provider_type: remote::brave-search

docs/docs/distributions/self_hosted_distro/starter.md

@@ -116,10 +116,6 @@ The following environment variables can be configured:
 - `BRAVE_SEARCH_API_KEY`: Brave Search API key
 - `TAVILY_SEARCH_API_KEY`: Tavily Search API key
 
-### Telemetry Configuration
-- `OTEL_SERVICE_NAME`: OpenTelemetry service name
-- `OTEL_EXPORTER_OTLP_ENDPOINT`: OpenTelemetry collector endpoint URL
-
 ## Enabling Providers
 
 You can enable specific providers by setting appropriate environment variables. For example,

docs/docs/references/python_sdk_reference/index.md

@@ -360,32 +360,6 @@ Methods:
 
 - <code title="post /v1/synthetic-data-generation/generate">client.synthetic_data_generation.<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/resources/synthetic_data_generation.py">generate</a>(\*\*<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/types/synthetic_data_generation_generate_params.py">params</a>) -> <a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/types/synthetic_data_generation_response.py">SyntheticDataGenerationResponse</a></code>
 
-## Telemetry
-
-Types:
-
-```python
-from llama_stack_client.types import (
-    QuerySpansResponse,
-    SpanWithStatus,
-    Trace,
-    TelemetryGetSpanResponse,
-    TelemetryGetSpanTreeResponse,
-    TelemetryQuerySpansResponse,
-    TelemetryQueryTracesResponse,
-)
-```
-
-Methods:
-
-- <code title="get /v1/telemetry/traces/{trace_id}/spans/{span_id}">client.telemetry.<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/resources/telemetry.py">get_span</a>(span_id, \*, trace_id) -> <a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/types/telemetry_get_span_response.py">TelemetryGetSpanResponse</a></code>
-- <code title="get /v1/telemetry/spans/{span_id}/tree">client.telemetry.<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/resources/telemetry.py">get_span_tree</a>(span_id, \*\*<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/types/telemetry_get_span_tree_params.py">params</a>) -> <a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/types/telemetry_get_span_tree_response.py">TelemetryGetSpanTreeResponse</a></code>
-- <code title="get /v1/telemetry/traces/{trace_id}">client.telemetry.<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/resources/telemetry.py">get_trace</a>(trace_id) -> <a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/types/trace.py">Trace</a></code>
-- <code title="post /v1/telemetry/events">client.telemetry.<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/resources/telemetry.py">log_event</a>(\*\*<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/types/telemetry_log_event_params.py">params</a>) -> None</code>
-- <code title="get /v1/telemetry/spans">client.telemetry.<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/resources/telemetry.py">query_spans</a>(\*\*<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/types/telemetry_query_spans_params.py">params</a>) -> <a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/types/telemetry_query_spans_response.py">TelemetryQuerySpansResponse</a></code>
-- <code title="get /v1/telemetry/traces">client.telemetry.<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/resources/telemetry.py">query_traces</a>(\*\*<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/types/telemetry_query_traces_params.py">params</a>) -> <a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/types/telemetry_query_traces_response.py">TelemetryQueryTracesResponse</a></code>
-- <code title="post /v1/telemetry/spans/export">client.telemetry.<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/resources/telemetry.py">save_spans_to_dataset</a>(\*\*<a href="https://github.com/meta-llama/llama-stack-client-python/tree/main/src/llama_stack_client/types/telemetry_save_spans_to_dataset_params.py">params</a>) -> None</code>
-
 ## Datasetio
 
 Types:

pyproject.toml

@@ -346,7 +346,6 @@ exclude = [
     "^src/llama_stack/providers/utils/scoring/aggregation_utils\\.py$",
     "^src/llama_stack/providers/utils/scoring/base_scoring_fn\\.py$",
     "^src/llama_stack/providers/utils/telemetry/dataset_mixin\\.py$",
-    "^src/llama_stack/providers/utils/telemetry/trace_protocol\\.py$",
     "^src/llama_stack/providers/utils/telemetry/tracing\\.py$",
     "^src/llama_stack/distributions/template\\.py$",
 ]

scripts/openapi_generator/schema_collection.py

@@ -8,7 +8,6 @@
 Schema discovery and collection for OpenAPI generation.
 """
 
-import importlib
 from typing import Any
 
 
@@ -20,23 +19,6 @@ def _ensure_components_schemas(openapi_schema: dict[str, Any]) -> None:
         openapi_schema["components"]["schemas"] = {}
 
 
-def _load_extra_schema_modules() -> None:
-    """
-    Import modules outside llama_stack_api that use schema_utils to register schemas.
-
-    The API package already imports its submodules via __init__, but server-side modules
-    like telemetry need to be imported explicitly so their decorator side effects run.
-    """
-    extra_modules = [
-        "llama_stack.core.telemetry.telemetry",
-    ]
-    for module_name in extra_modules:
-        try:
-            importlib.import_module(module_name)
-        except ImportError:
-            continue
-
-
 def _extract_and_fix_defs(schema: dict[str, Any], openapi_schema: dict[str, Any]) -> None:
     """
     Extract $defs from a schema, move them to components/schemas, and fix references.
@@ -79,9 +61,6 @@ def _ensure_json_schema_types_included(openapi_schema: dict[str, Any]) -> dict[s
         iter_registered_schema_types,
     )
 
-    # Import extra modules (e.g., telemetry) whose schema registrations live outside llama_stack_api
-    _load_extra_schema_modules()
-
     # Handle explicitly registered schemas first (union types, Annotated structs, etc.)
     for registration_info in iter_registered_schema_types():
         schema_type = registration_info.type

src/llama_stack/distributions/ci-tests/run-with-postgres-store.yaml

@@ -281,8 +281,6 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true
 vector_stores:
   default_provider_id: faiss
   default_embedding_model:

src/llama_stack/distributions/ci-tests/run.yaml

@@ -272,8 +272,6 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true
 vector_stores:
   default_provider_id: faiss
   default_embedding_model:

src/llama_stack/distributions/dell/run-with-safety.yaml

@@ -140,5 +140,3 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true

src/llama_stack/distributions/dell/run.yaml

@@ -131,5 +131,3 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true

src/llama_stack/distributions/meta-reference-gpu/run-with-safety.yaml

@@ -153,5 +153,3 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true

src/llama_stack/distributions/meta-reference-gpu/run.yaml

@@ -138,5 +138,3 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true

src/llama_stack/distributions/nvidia/run-with-safety.yaml

@@ -135,5 +135,3 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true

src/llama_stack/distributions/nvidia/run.yaml

@@ -114,5 +114,3 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true

src/llama_stack/distributions/oci/run.yaml

@@ -132,5 +132,3 @@ registered_resources:
     provider_id: tavily-search
 server:
   port: 8321
-telemetry:
-  enabled: true

src/llama_stack/distributions/open-benchmark/run.yaml

@@ -251,5 +251,3 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true

src/llama_stack/distributions/postgres-demo/run.yaml

@@ -114,5 +114,3 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true

src/llama_stack/distributions/starter-gpu/run-with-postgres-store.yaml

@@ -284,8 +284,6 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true
 vector_stores:
   default_provider_id: faiss
   default_embedding_model:

src/llama_stack/distributions/starter-gpu/run.yaml

@@ -275,8 +275,6 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true
 vector_stores:
   default_provider_id: faiss
   default_embedding_model:

src/llama_stack/distributions/starter/run-with-postgres-store.yaml

@@ -281,8 +281,6 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true
 vector_stores:
   default_provider_id: faiss
   default_embedding_model:

src/llama_stack/distributions/starter/run.yaml

@@ -272,8 +272,6 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true
 vector_stores:
   default_provider_id: faiss
   default_embedding_model:

src/llama_stack/distributions/template.py

@@ -24,7 +24,6 @@
     Provider,
     SafetyConfig,
     ShieldInput,
-    TelemetryConfig,
     ToolGroupInput,
     VectorStoresConfig,
 )
@@ -189,7 +188,6 @@ class RunConfigSettings(BaseModel):
     default_benchmarks: list[BenchmarkInput] | None = None
     vector_stores_config: VectorStoresConfig | None = None
     safety_config: SafetyConfig | None = None
-    telemetry: TelemetryConfig = Field(default_factory=lambda: TelemetryConfig(enabled=True))
     storage_backends: dict[str, Any] | None = None
     storage_stores: dict[str, Any] | None = None
 
@@ -289,7 +287,6 @@ def run_config(
             "server": {
                 "port": 8321,
             },
-            "telemetry": self.telemetry.model_dump(exclude_none=True) if self.telemetry else None,
         }
 
         if self.vector_stores_config:

src/llama_stack/distributions/watsonx/run.yaml

@@ -132,5 +132,3 @@ registered_resources:
     provider_id: rag-runtime
 server:
   port: 8321
-telemetry:
-  enabled: true

src/llama_stack_api/conversations.py

@@ -9,7 +9,6 @@
 
 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
 

src/llama_stack_api/datatypes.py

@@ -102,7 +102,6 @@ class Api(Enum, metaclass=DynamicApiMeta):
     :cvar eval: Model evaluation and benchmarking framework
     :cvar post_training: Fine-tuning and model training
     :cvar tool_runtime: Tool execution and management
-    :cvar telemetry: Observability and system monitoring
     :cvar models: Model metadata and management
     :cvar shields: Safety shield implementations
     :cvar datasets: Dataset creation and management

src/llama_stack_api/files.py

@@ -11,7 +11,6 @@
 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
 

src/llama_stack_api/inference.py

@@ -22,7 +22,6 @@
 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.

src/llama_stack_api/models.py

@@ -9,7 +9,6 @@
 
 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.

src/llama_stack_api/prompts.py

@@ -10,7 +10,6 @@
 
 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