ViperEkura
02469887f5
- merge _generate_streaming/_generate_non_streaming into single _generate() with stream flag - delete dead GenerationRequest class and generate_with_request method - inline _next_token helper into generate_async - replace flash-attn double-checked locking with functools.lru_cache - extract _write_and_gather_kv helper shared by TorchNative/FlashAttn backends - inline _kv_cache_is_contiguous into its sole call site in FlashAttnBackend - change default backend priority from flash>cuda>torch to cuda>flash>torch - add ASTR_BACKEND env var to override default backend at resolve time - add supports_graph() static method to AttentionBackend ABC, override in CudaBackend - replace isinstance(get_backend(), CudaBackend) with get_backend().supports_graph() in executor - add torch.cuda.is_available() guard to CudaBackend.supports()
95 lines
2.1 KiB
Python
95 lines
2.1 KiB
Python
"""Inference module for continuous batching.
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Layers:
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- core/: Core inference loop (cache, executor, scheduler, task)
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- api/: HTTP orchestration (ProtocolHandler, server)
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- protocols/: Response builders (OpenAI, Anthropic)
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- transport/: SSE transport utilities
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- engine.py: Facade (InferenceEngine)
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- sample.py: Strategy pattern (TemperatureStrategy, TopKStrategy, TopPStrategy, FrequencyPenaltyStrategy)
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"""
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from astrai.inference.api import (
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AnthropicMessage,
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BaseToolParser,
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ChatCompletionRequest,
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ChatMessage,
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FunctionDef,
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GenContext,
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MessagesRequest,
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ProtocolHandler,
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SimpleJsonToolParser,
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StopChecker,
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ToolDef,
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ToolParserFactory,
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get_app,
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run_server,
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)
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from astrai.inference.api.anthropic import AnthropicResponseBuilder
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from astrai.inference.api.openai import OpenAIResponseBuilder
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from astrai.inference.core import (
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STOP,
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Allocator,
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Executor,
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InferenceScheduler,
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KVCache,
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KVStorage,
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PagePool,
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RadixCache,
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ReqToTokenPool,
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Task,
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TaskManager,
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TaskStatus,
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page_hash,
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)
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from astrai.inference.engine import InferenceEngine
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from astrai.inference.sample import (
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BaseSamplingStrategy,
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FrequencyPenaltyStrategy,
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SamplingPipeline,
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TemperatureStrategy,
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TopKStrategy,
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TopPStrategy,
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sample,
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)
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__all__ = [
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"InferenceEngine",
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"InferenceScheduler",
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"Executor",
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"STOP",
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"Task",
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"TaskManager",
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"TaskStatus",
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"Allocator",
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"KVCache",
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"KVStorage",
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"PagePool",
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"RadixCache",
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"ReqToTokenPool",
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"page_hash",
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"sample",
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"BaseSamplingStrategy",
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"TemperatureStrategy",
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"TopKStrategy",
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"TopPStrategy",
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"FrequencyPenaltyStrategy",
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"SamplingPipeline",
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"ProtocolHandler",
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"StopChecker",
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"GenContext",
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"BaseToolParser",
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"SimpleJsonToolParser",
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"ToolParserFactory",
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"OpenAIResponseBuilder",
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"AnthropicResponseBuilder",
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"ChatMessage",
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"ChatCompletionRequest",
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"FunctionDef",
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"ToolDef",
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"AnthropicMessage",
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"MessagesRequest",
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"get_app",
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"run_server",
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]
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