b60439152b
- harness/es.py: append-only event store + проекции (образец — кооп-портал) - harness/levels.py: уровни 1с/1м/1ч/1д, контекст ∝ масштабу - harness/scheduler.py: уровневые потоки, идемпотентные тики, absorbed-стабы - harness/isolated_runner.py + _llm_worker.py: LLM-тик в сабпроцессе (глобальный asyncio-рантайм Strands не переживает 2+ create_harness) - cli.py: init/task/tasks/status/events + requeue (написан самим минутным агентом) - 9router: отдельный ключ sk-simbiot, модель auto (glm-5.3 первым)
33 lines
1.4 KiB
Python
33 lines
1.4 KiB
Python
"""In-memory transports"""
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from __future__ import annotations
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from collections.abc import AsyncGenerator
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from contextlib import asynccontextmanager
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from mcp.shared._compat import resync_tracer
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from mcp.shared._context_streams import ContextReceiveStream, ContextSendStream, create_context_streams
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from mcp.shared.message import SessionMessage
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MessageStream = tuple[ContextReceiveStream[SessionMessage | Exception], ContextSendStream[SessionMessage | Exception]]
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@asynccontextmanager
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async def create_client_server_memory_streams() -> AsyncGenerator[tuple[MessageStream, MessageStream], None]:
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"""Creates a pair of bidirectional memory streams for client-server communication.
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Yields:
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A tuple of (client_streams, server_streams) where each is a tuple of
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(read_stream, write_stream)
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"""
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# Create streams for both directions
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server_to_client_send, server_to_client_receive = create_context_streams[SessionMessage | Exception](1)
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client_to_server_send, client_to_server_receive = create_context_streams[SessionMessage | Exception](1)
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client_streams = (server_to_client_receive, client_to_server_send)
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server_streams = (client_to_server_receive, server_to_client_send)
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async with server_to_client_receive, client_to_server_send, client_to_server_receive, server_to_client_send:
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yield client_streams, server_streams
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# Heals caller-driven cancels; closing memory streams never suspends.
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await resync_tracer()
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