91 lines
1.9 KiB
Python
91 lines
1.9 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 protocol handlers (OpenAI, Anthropic)
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- engine.py: Facade (InferenceEngine), Value Object (GenerationParams, GenerationRequest)
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- sample.py: Strategy pattern (TemperatureStrategy, TopKStrategy, TopPStrategy)
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"""
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from astrai.inference.api import (
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AnthropicHandler,
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AnthropicMessage,
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ChatCompletionRequest,
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ChatMessage,
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MessagesRequest,
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OpenAIHandler,
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ProtocolHandler,
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StopChecker,
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StreamContext,
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app,
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run_server,
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)
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from astrai.inference.core import (
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STOP,
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CacheView,
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Executor,
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InferenceScheduler,
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PagedCache,
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PagePool,
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PrefixCache,
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Task,
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TaskManager,
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TaskStatus,
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TaskTable,
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page_hash,
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)
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from astrai.inference.engine import (
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GenerationParams,
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GenerationRequest,
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InferenceEngine,
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)
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from astrai.inference.sample import (
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BaseSamplingStrategy,
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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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# Engine / Requests
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"InferenceEngine",
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"GenerationRequest",
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"GenerationParams",
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# Core scheduler
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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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# Core cache
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"CacheView",
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"PagedCache",
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"PagePool",
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"PrefixCache",
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"TaskTable",
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"page_hash",
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# Sampling (Strategy pattern)
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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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"SamplingPipeline",
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# Protocol
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"ProtocolHandler",
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"StopChecker",
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"StreamContext",
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"AnthropicHandler",
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"OpenAIHandler",
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# Server
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"ChatMessage",
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"ChatCompletionRequest",
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"AnthropicMessage",
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"MessagesRequest",
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"app",
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"run_server",
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]
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