[verified] feat: complete Ralph task workstreams
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@@ -14,6 +14,8 @@ import urllib.request
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import uuid
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from typing import Any
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from .prefill_backpressure import BoundedPrefillSender, PrefillTransferLimits
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_STUB_HIDDEN_DIM = 64
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_STUB_DTYPE = "bfloat16"
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_WIRE_VERSION = "2"
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@@ -653,24 +655,27 @@ def _last_message_content(messages: object) -> str:
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def _run_binary_pipeline(route: list[str], prompt: str, timeout: float = 5.0) -> list[_BinaryActivation]:
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session = str(uuid.uuid4())
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chunk_token_count = _chunk_token_count()
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limits = PrefillTransferLimits.from_env()
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chunk_token_count = limits.chunk_tokens
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total_tokens = max(1, _prompt_token_count(prompt))
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chunk_total = max(1, (total_tokens + chunk_token_count - 1) // chunk_token_count)
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responses: list[_BinaryActivation] = []
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for chunk_index in range(chunk_total):
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remaining_tokens = total_tokens - (chunk_index * chunk_token_count)
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seq_len = min(chunk_token_count, remaining_tokens)
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activation = _BinaryActivation(
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body=_make_stub_binary_activation([1, seq_len, _STUB_HIDDEN_DIM], _STUB_DTYPE),
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shape=[1, seq_len, _STUB_HIDDEN_DIM],
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dtype=_STUB_DTYPE,
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session=session,
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chunk_index=chunk_index,
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chunk_total=chunk_total,
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encoding=_preferred_binary_encoding(),
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headers={},
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)
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def chunks():
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for chunk_index in range(chunk_total):
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remaining_tokens = total_tokens - (chunk_index * chunk_token_count)
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seq_len = min(chunk_token_count, remaining_tokens)
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yield _BinaryActivation(
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body=_make_stub_binary_activation([1, seq_len, _STUB_HIDDEN_DIM], _STUB_DTYPE),
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shape=[1, seq_len, _STUB_HIDDEN_DIM],
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dtype=_STUB_DTYPE,
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session=session,
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chunk_index=chunk_index,
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chunk_total=chunk_total,
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encoding=_preferred_binary_encoding(),
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headers={},
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)
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def forward(activation: _BinaryActivation) -> _BinaryActivation:
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for hop_index, node_url in enumerate(route):
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activation = _post_binary_forward(
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f"{node_url}/forward",
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@@ -678,17 +683,15 @@ def _run_binary_pipeline(route: list[str], prompt: str, timeout: float = 5.0) ->
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hop_index=hop_index,
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timeout=timeout,
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)
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responses.append(activation)
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return responses
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return activation
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# Each completed response is retained only for the gateway's existing test
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# diagnostic surface. At every hop the sender owns one chunk at a time.
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return BoundedPrefillSender(limits).send(chunks(), body_size=lambda item: len(item.body), forward=forward)
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def _chunk_token_count() -> int:
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raw_value = os.environ.get("MESHNET_CHUNK_TOKENS", "128")
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try:
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value = int(raw_value)
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except ValueError:
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return 128
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return value if value > 0 else 128
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return PrefillTransferLimits.from_env().chunk_tokens
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def _prompt_token_count(prompt: str) -> int:
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@@ -737,11 +740,23 @@ def _post_binary_forward(
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encoding = response_headers.get("x-meshnet-encoding")
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raw_body = _decompress_body(response_body, encoding)
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shape = _parse_shape(response_headers["x-meshnet-shape"])
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dtype = response_headers["x-meshnet-dtype"]
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session = response_headers["x-meshnet-session"]
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chunk_index = int(response_headers["x-meshnet-chunk-index"])
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chunk_total = int(response_headers["x-meshnet-chunk-total"])
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# Legacy single-chunk peers returned only the body before chunk metadata
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# was added. Treat absent metadata as the caller's single chunk, while a
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# peer which partially implements the new protocol still fails closed.
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if not response_headers.get("x-meshnet-shape"):
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if activation.chunk_total != 1:
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raise ValueError("legacy peer cannot acknowledge multi-chunk prefill")
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shape = activation.shape
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dtype = activation.dtype
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session = activation.session
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chunk_index = activation.chunk_index
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chunk_total = activation.chunk_total
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else:
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shape = _parse_shape(response_headers["x-meshnet-shape"])
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dtype = response_headers["x-meshnet-dtype"]
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session = response_headers["x-meshnet-session"]
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chunk_index = int(response_headers["x-meshnet-chunk-index"])
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chunk_total = int(response_headers["x-meshnet-chunk-total"])
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if session != activation.session:
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raise ValueError("binary activation response changed session")
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if chunk_index != activation.chunk_index or chunk_total != activation.chunk_total:
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