forked from phoenix-oss/llama-stack-mirror
* API Keys passed from Client instead of distro configuration * delete distribution registry * Rename the "package" word away * Introduce a "Router" layer for providers Some providers need to be factorized and considered as thin routing layers on top of other providers. Consider two examples: - The inference API should be a routing layer over inference providers, routed using the "model" key - The memory banks API is another instance where various memory bank types will be provided by independent providers (e.g., a vector store is served by Chroma while a keyvalue memory can be served by Redis or PGVector) This commit introduces a generalized routing layer for this purpose. * update `apis_to_serve` * llama_toolchain -> llama_stack * Codemod from llama_toolchain -> llama_stack - added providers/registry - cleaned up api/ subdirectories and moved impls away - restructured api/api.py - from llama_stack.apis.<api> import foo should work now - update imports to do llama_stack.apis.<api> - update many other imports - added __init__, fixed some registry imports - updated registry imports - create_agentic_system -> create_agent - AgenticSystem -> Agent * Moved some stuff out of common/; re-generated OpenAPI spec * llama-toolchain -> llama-stack (hyphens) * add control plane API * add redis adapter + sqlite provider * move core -> distribution * Some more toolchain -> stack changes * small naming shenanigans * Removing custom tool and agent utilities and moving them client side * Move control plane to distribution server for now * Remove control plane from API list * no codeshield dependency randomly plzzzzz * Add "fire" as a dependency * add back event loggers * stack configure fixes * use brave instead of bing in the example client * add init file so it gets packaged * add init files so it gets packaged * Update MANIFEST * bug fix --------- Co-authored-by: Hardik Shah <hjshah@fb.com> Co-authored-by: Xi Yan <xiyan@meta.com> Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
131 lines
3 KiB
Python
131 lines
3 KiB
Python
# 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 datetime import datetime
|
|
from enum import Enum
|
|
from typing import Any, Dict, Literal, Optional, Protocol, Union
|
|
|
|
from llama_models.schema_utils import json_schema_type, webmethod
|
|
from pydantic import BaseModel, Field
|
|
from typing_extensions import Annotated
|
|
|
|
|
|
@json_schema_type
|
|
class SpanStatus(Enum):
|
|
OK = "ok"
|
|
ERROR = "error"
|
|
|
|
|
|
@json_schema_type
|
|
class Span(BaseModel):
|
|
span_id: str
|
|
trace_id: str
|
|
parent_span_id: Optional[str] = None
|
|
name: str
|
|
start_time: datetime
|
|
end_time: Optional[datetime] = None
|
|
attributes: Optional[Dict[str, Any]] = Field(default_factory=dict)
|
|
|
|
|
|
@json_schema_type
|
|
class Trace(BaseModel):
|
|
trace_id: str
|
|
root_span_id: str
|
|
start_time: datetime
|
|
end_time: Optional[datetime] = None
|
|
|
|
|
|
@json_schema_type
|
|
class EventType(Enum):
|
|
UNSTRUCTURED_LOG = "unstructured_log"
|
|
STRUCTURED_LOG = "structured_log"
|
|
METRIC = "metric"
|
|
|
|
|
|
@json_schema_type
|
|
class LogSeverity(Enum):
|
|
VERBOSE = "verbose"
|
|
DEBUG = "debug"
|
|
INFO = "info"
|
|
WARN = "warn"
|
|
ERROR = "error"
|
|
CRITICAL = "critical"
|
|
|
|
|
|
class EventCommon(BaseModel):
|
|
trace_id: str
|
|
span_id: str
|
|
timestamp: datetime
|
|
attributes: Optional[Dict[str, Any]] = Field(default_factory=dict)
|
|
|
|
|
|
@json_schema_type
|
|
class UnstructuredLogEvent(EventCommon):
|
|
type: Literal[EventType.UNSTRUCTURED_LOG.value] = EventType.UNSTRUCTURED_LOG.value
|
|
message: str
|
|
severity: LogSeverity
|
|
|
|
|
|
@json_schema_type
|
|
class MetricEvent(EventCommon):
|
|
type: Literal[EventType.METRIC.value] = EventType.METRIC.value
|
|
metric: str # this would be an enum
|
|
value: Union[int, float]
|
|
unit: str
|
|
|
|
|
|
@json_schema_type
|
|
class StructuredLogType(Enum):
|
|
SPAN_START = "span_start"
|
|
SPAN_END = "span_end"
|
|
|
|
|
|
@json_schema_type
|
|
class SpanStartPayload(BaseModel):
|
|
type: Literal[StructuredLogType.SPAN_START.value] = (
|
|
StructuredLogType.SPAN_START.value
|
|
)
|
|
name: str
|
|
parent_span_id: Optional[str] = None
|
|
|
|
|
|
@json_schema_type
|
|
class SpanEndPayload(BaseModel):
|
|
type: Literal[StructuredLogType.SPAN_END.value] = StructuredLogType.SPAN_END.value
|
|
status: SpanStatus
|
|
|
|
|
|
StructuredLogPayload = Annotated[
|
|
Union[
|
|
SpanStartPayload,
|
|
SpanEndPayload,
|
|
],
|
|
Field(discriminator="type"),
|
|
]
|
|
|
|
|
|
@json_schema_type
|
|
class StructuredLogEvent(EventCommon):
|
|
type: Literal[EventType.STRUCTURED_LOG.value] = EventType.STRUCTURED_LOG.value
|
|
payload: StructuredLogPayload
|
|
|
|
|
|
Event = Annotated[
|
|
Union[
|
|
UnstructuredLogEvent,
|
|
MetricEvent,
|
|
StructuredLogEvent,
|
|
],
|
|
Field(discriminator="type"),
|
|
]
|
|
|
|
|
|
class Telemetry(Protocol):
|
|
@webmethod(route="/telemetry/log_event")
|
|
async def log_event(self, event: Event) -> None: ...
|
|
|
|
@webmethod(route="/telemetry/get_trace", method="GET")
|
|
async def get_trace(self, trace_id: str) -> Trace: ...
|