Files
AstrAI/astrai/inference/__init__.py
T
ViperEkura 0c1b7664c1 refactor: split infer core into subpackages by concern
- Eliminate core/ directory into cache/, runtime/, network/ subpackages plus flat modules
- Split cache.py (647 lines) into cache/{buffer,strategy,pool}.py by layer
- Add explicit ContiguousStrategy, make AllocationStrategy a real ABC
- Move TaskCacheState to cache/strategy.py, drop string forward references
- Rename api/ to network/, server.py to app.py
- Move sample.py into runtime/ alongside executor and graph
- Simplify TaskCacheManager.__init__ to single pool param
- Expose pool.strategy and pool.req_pool as public properties
- Fix KVCache import in attention_backend.py (TYPE_CHECKING guard)
- Fix steady-state decode reading uninitialized position_ids on first step
2026-08-08 23:43:05 +08:00

97 lines
2.3 KiB
Python

"""Inference module for continuous batching.
Subpackages:
- cache/: KV cache (buffers, strategies, pool)
- runtime/: Execution + sampling (executor, CUDA graph, sampling strategies)
- task/: Request lifecycle + performance metrics
- network/: HTTP protocol handling (server, protocol, OpenAI/Anthropic builders)
Modules:
- scheduler.py: Continuous batching loop
- workspace.py: Pre-allocated GPU buffers
- engine.py: Facade (InferenceEngine)
"""
from astrai.inference.cache import (
Allocator,
KVCache,
KVStorage,
PagePool,
RadixCache,
ReqToTokenPool,
TaskCacheManager,
page_hash,
)
from astrai.inference.engine import InferenceEngine
from astrai.inference.network import (
AnthropicMessage,
BaseToolParser,
ChatCompletionRequest,
ChatMessage,
FunctionDef,
GenContext,
MessagesRequest,
ProtocolHandler,
SimpleJsonToolParser,
StopChecker,
ToolDef,
ToolParserFactory,
get_app,
run_server,
)
from astrai.inference.network.anthropic import AnthropicResponseBuilder
from astrai.inference.network.openai import OpenAIResponseBuilder
from astrai.inference.runtime.executor import Executor
from astrai.inference.runtime.sample import (
BaseSamplingStrategy,
FrequencyPenaltyStrategy,
SamplingPipeline,
TemperatureStrategy,
TopKStrategy,
TopPStrategy,
sample,
)
from astrai.inference.scheduler import InferenceScheduler
from astrai.inference.task import STOP, Task, TaskManager, TaskStatus
__all__ = [
"InferenceEngine",
"InferenceScheduler",
"Executor",
"STOP",
"Task",
"TaskManager",
"TaskStatus",
"Allocator",
"KVCache",
"KVStorage",
"PagePool",
"RadixCache",
"ReqToTokenPool",
"TaskCacheManager",
"page_hash",
"sample",
"BaseSamplingStrategy",
"TemperatureStrategy",
"TopKStrategy",
"TopPStrategy",
"FrequencyPenaltyStrategy",
"SamplingPipeline",
"ProtocolHandler",
"StopChecker",
"GenContext",
"BaseToolParser",
"SimpleJsonToolParser",
"ToolParserFactory",
"OpenAIResponseBuilder",
"AnthropicResponseBuilder",
"ChatMessage",
"ChatCompletionRequest",
"FunctionDef",
"ToolDef",
"AnthropicMessage",
"MessagesRequest",
"get_app",
"run_server",
]