llama-stack-mirror/llama_stack/providers/inline/telemetry/meta_reference/config.py
2025-03-25 14:42:05 -07:00

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# 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.
from enum import Enum
from typing import Any, Dict, List
from pydantic import BaseModel, Field, field_validator
from llama_stack.distribution.utils.config_dirs import RUNTIME_BASE_DIR
class TelemetrySink(str, Enum):
OTEL_TRACE = "otel_trace"
OTEL_METRIC = "otel_metric"
SQLITE = "sqlite"
CONSOLE = "console"
class TelemetryConfig(BaseModel):
otel_trace_endpoint: str = Field(
default="http://localhost:4318/v1/traces",
description="The OpenTelemetry collector endpoint URL for traces",
)
otel_metric_endpoint: str = Field(
default="http://localhost:4318/v1/metrics",
description="The OpenTelemetry collector endpoint URL for metrics",
)
service_name: str = Field(
# service name is always the same, use zero-width space to avoid clutter
default="",
description="The service name to use for telemetry",
)
sinks: List[TelemetrySink] = Field(
default=[TelemetrySink.CONSOLE, TelemetrySink.SQLITE],
description="List of telemetry sinks to enable (possible values: otel, sqlite, console)",
)
sqlite_db_path: str = Field(
default=(RUNTIME_BASE_DIR / "trace_store.db").as_posix(),
description="The path to the SQLite database to use for storing traces",
)
@field_validator("sinks", mode="before")
@classmethod
def validate_sinks(cls, v):
if isinstance(v, str):
return [TelemetrySink(sink.strip()) for sink in v.split(",")]
return v
@classmethod
def sample_run_config(cls, __distro_dir__: str, db_name: str = "trace_store.db") -> Dict[str, Any]:
return {
"service_name": "${env.OTEL_SERVICE_NAME:}",
"sinks": "${env.TELEMETRY_SINKS:console,sqlite}",
"sqlite_db_path": "${env.SQLITE_DB_PATH:" + __distro_dir__ + "/" + db_name + "}",
}