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PR-G6: gRPC chat REPL (scripts/chat_grpc.py)
A multi-turn chat client that uses the Python SDK to talk to a running gRPC RuntimeService. Demonstrates the v0.3 session-bound architecture's killer feature: the server keeps the running KV cache, so every turn after the first appends only the new user message \u2014 independent of conversation length. Compare to scripts/chat.py (v0.2): that REPL re-prefilled the full conversation on every turn against an in-process SpeculativeEngine. This REPL holds one Session open across turns and the server keeps O(history) cache; per-turn prefill is O(new_user_message). Files ----- scripts/chat_grpc.py +220 lines Multi-turn REPL using: - kakeya.Client + kakeya.Session (the v0.3 SDK) - Qwen3-family AutoTokenizer for chat-template encoding + streaming detokenization - Slash commands: /help, /reset (close + new session), /info (history_length / kv_live_bytes / idle_seconds / INV-1/2 violation counts), /exit - Graceful Ctrl-C interrupts mid-generation; recovery via automatic session re-creation on KakeyaError - System prompt seeded on session creation (--system-prompt to customize, '' to skip) - Streaming token-by-token decode using the tokenizer's running buffer (same pattern as scripts/chat.py) scripts/review_pr_g6_on_mac.sh +90 lines Mac M4 reviewer aid: - Starts gRPC server with Qwen3-0.6B in background - Pipes a 3-turn conversation through chat_grpc.py via stdin - Asserts >=2 'kakeya>' response prompts in the output - Produces pr-g6-mac-chat-smoke-<unix>.json acceptance evidence Per CLI-plumbing convention this script is exempt from the unit- test coverage gate (no Linux unit tests added). End-to-end behavior is exercised by: - tests/integration/test_sdk_real.py (the SDK methods this REPL drives; integration-tested against real Qwen3-0.6B) - scripts/review_pr_g6_on_mac.sh (the REPL flow itself, against a running gRPC server) Usage ----- # 1. Start the runtime PYTHONPATH=.:sdks/python python3 \ scripts/start_grpc_runtime_server.py \ --backend cpu --verifier-id Qwen/Qwen3-0.6B \ --bind 127.0.0.1:50051 # 2. Chat PYTHONPATH=.:sdks/python python3 scripts/chat_grpc.py # > you> Hi. # > kakeya> Hello! How can I help you today? # > you> /info # > history_length = 47 # > kv_live_bytes = 6,815,744 # > idle_seconds = 1.234 # > you> /exit Stack ----- PR-G6 is independent of PR-G3 (#59 README) and PR-G5 (#60 prewarm CLI). All three can land in any order. Per ADR 0008 \u00a79: this PR ships a UX-only CLI. No new Linux unit tests; no Linux gate impact. Mac M4 evidence required for merge because the REPL is interactive against a real server. Co-authored-by: FluffyAIcode <FluffyAIcode@users.noreply.github.com>
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scripts/chat_grpc.py

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"""Streaming chat REPL over the Kakeya gRPC runtime (v0.3).
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A multi-turn chat client that uses the Python SDK to talk to a
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running ``RuntimeService``. Demonstrates the session-bound
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architecture's killer feature: the server keeps the running KV
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cache, so every turn after the first appends only the new user
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message — independent of conversation length.
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Compare to ``scripts/chat.py`` (v0.2): that REPL re-prefilled the
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full conversation on every turn against an in-process
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``SpeculativeEngine``. This REPL holds one ``Session`` open across
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turns and the server keeps O(history) cache; per-turn prefill is
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O(new_user_message).
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Usage::
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# 1. In one terminal, start the runtime
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PYTHONPATH=.:sdks/python python3 scripts/start_grpc_runtime_server.py \\
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--backend cpu --verifier-id Qwen/Qwen3-0.6B \\
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--bind 127.0.0.1:50051
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# 2. In another terminal, chat
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PYTHONPATH=.:sdks/python python3 scripts/chat_grpc.py
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# Or, with options:
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PYTHONPATH=.:sdks/python python3 scripts/chat_grpc.py \\
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--address 127.0.0.1:50051 \\
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--tokenizer-id Qwen/Qwen3-0.6B \\
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--max-tokens 64
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REPL controls
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-------------
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Type your message + Enter to send.
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Ctrl-D or empty line to exit.
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``/reset`` on its own line: close current session, open new one
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(clear context).
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``/info`` on its own line: print server-side session state
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(history length, KV bytes, idle time).
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``/help``: this list.
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Per the project's CLI-plumbing convention this script is exempt
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from the unit-test coverage gate. End-to-end behavior is exercised
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by the SDK integration tests at
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``tests/integration/test_sdk_real.py`` which drive the same SDK
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methods this REPL drives.
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"""
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from __future__ import annotations
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import argparse
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import sys
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from typing import List, Optional
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_HELP = """
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Commands:
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/help show this help
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/reset close current session, start a fresh one
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/info show server-side session state
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/exit quit (or Ctrl-D / empty line)
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""".strip()
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def _print_banner(address: str, tokenizer_id: str) -> None:
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print(
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f"Kakeya v0.3 chat — {address} ({tokenizer_id})\n"
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f"Session-bound runtime: server keeps history, you only send "
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f"new tokens per turn.\n"
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f"Type /help for commands; Ctrl-D or empty line to quit.\n",
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file=sys.stderr, flush=True,
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)
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def _read_user_input(prompt: str = "you> ") -> Optional[str]:
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"""Read a single user line from stdin.
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Returns ``None`` on EOF (Ctrl-D) or empty input. Empty input is
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a terminate signal — the user can use ``/reset`` to clear context
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without exiting the REPL.
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"""
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try:
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line = input(prompt)
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except EOFError:
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return None
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if not line.strip():
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return None
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return line
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def _generate_and_print(
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session,
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tokenizer,
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new_tokens: List[int],
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max_tokens: int,
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) -> int:
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"""Drive one append + generate cycle. Streams tokens to stdout
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as they arrive, returns the count emitted. The generator's
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metadata (stop reason, durations) is read after iteration via
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``session.last_*`` properties.
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"""
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session.append(new_tokens)
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print("kakeya> ", end="", flush=True)
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n = 0
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accumulated = []
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try:
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for token_id in session.generate(max_tokens=max_tokens):
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n += 1
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accumulated.append(token_id)
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# Decode incrementally — tokenizer.decode on the running
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# buffer gives the right text including BPE merges that
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# span multiple tokens. We re-decode the full buffer
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# each time (Qwen3-family tokenizers re-decode in <1ms
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# for a 64-token buffer; per-token decoding loses some
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# whitespace correctness on the tokenizer level).
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text_so_far = tokenizer.decode(
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accumulated, skip_special_tokens=True,
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)
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# Print only the suffix that's new since last frame.
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if hasattr(_generate_and_print, "_last_text"):
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last = _generate_and_print._last_text
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else:
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last = ""
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new_text = text_so_far[len(last):]
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print(new_text, end="", flush=True)
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_generate_and_print._last_text = text_so_far
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except KeyboardInterrupt:
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print("\n[interrupted]", file=sys.stderr)
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finally:
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# Reset the per-call decoder state so the next turn starts
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# fresh.
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if hasattr(_generate_and_print, "_last_text"):
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del _generate_and_print._last_text
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print() # final newline
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return n
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def _print_session_info(session) -> None:
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info = session.info()
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print(
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f" history_length = {info.history_length}\n"
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f" kv_live_bytes = {info.kv_live_bytes:,}\n"
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f" idle_seconds = {info.idle_seconds:.3f}\n"
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f" inv1_violations= {info.cache_invariant_inv1_violations}\n"
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f" inv2_violations= {info.cache_invariant_inv2_violations}",
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file=sys.stderr, flush=True,
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)
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def main() -> int:
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ap = argparse.ArgumentParser(description=__doc__)
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ap.add_argument(
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"--address", default="127.0.0.1:50051",
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help="host:port of a running kakeya gRPC RuntimeService",
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)
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ap.add_argument(
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"--tokenizer-id", default="Qwen/Qwen3-0.6B",
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help="HF model id for the tokenizer. MUST match the verifier "
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"the server is running.",
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)
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ap.add_argument(
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"--max-tokens", type=int, default=64,
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help="max_tokens per turn",
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)
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ap.add_argument(
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"--system-prompt", default="You are a helpful assistant.",
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help="System prompt prepended on the first turn (Qwen3 chat "
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"template). Pass empty string to skip.",
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)
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args = ap.parse_args()
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# Lazy imports keep --help fast.
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from kakeya import Client
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from kakeya.errors import KakeyaError
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from transformers import AutoTokenizer
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print(f"[chat] loading tokenizer {args.tokenizer_id} ...",
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file=sys.stderr, flush=True)
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tokenizer = AutoTokenizer.from_pretrained(args.tokenizer_id)
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eos = tokenizer.eos_token_id
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eos_ids: List[int] = [int(eos)] if eos is not None else []
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_print_banner(args.address, args.tokenizer_id)
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def _make_session(client):
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s = client.create_session(eos_token_ids=eos_ids)
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# Seed with the system prompt on turn 0 (no generation yet).
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if args.system_prompt:
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seed_ids = tokenizer.apply_chat_template(
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[{"role": "system", "content": args.system_prompt}],
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add_generation_prompt=False,
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tokenize=True,
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return_dict=False,
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enable_thinking=False,
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)
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if seed_ids:
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s.append(seed_ids)
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return s
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with Client(args.address) as client:
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session = _make_session(client)
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try:
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while True:
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user_line = _read_user_input()
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if user_line is None:
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print("[bye]", file=sys.stderr)
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break
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# Slash commands
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if user_line.startswith("/"):
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cmd = user_line.strip().lower()
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if cmd in ("/exit", "/quit"):
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print("[bye]", file=sys.stderr)
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break
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if cmd == "/help":
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print(_HELP, file=sys.stderr)
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continue
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if cmd == "/reset":
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try:
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session.close()
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except KakeyaError:
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pass
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session = _make_session(client)
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print("[session reset]", file=sys.stderr)
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continue
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if cmd == "/info":
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try:
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_print_session_info(session)
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except KakeyaError as exc:
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print(f"[info error: {exc}]", file=sys.stderr)
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continue
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print(f"[unknown command: {cmd}; try /help]",
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file=sys.stderr)
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continue
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# Tokenize the user message via the chat template — this
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# gives Qwen3 the role marker tokens, not raw text.
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new_tokens = tokenizer.apply_chat_template(
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[{"role": "user", "content": user_line}],
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add_generation_prompt=True,
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tokenize=True,
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return_dict=False,
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enable_thinking=False,
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)
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try:
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_generate_and_print(
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session=session,
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tokenizer=tokenizer,
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new_tokens=new_tokens,
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max_tokens=args.max_tokens,
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)
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except KakeyaError as exc:
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print(f"[runtime error: {exc}]", file=sys.stderr)
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# Try to recover by resetting the session — the
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# server may have evicted it.
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try:
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session.close()
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except KakeyaError:
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pass
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session = _make_session(client)
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print("[session re-created after error]",
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file=sys.stderr)
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finally:
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try:
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session.close()
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except KakeyaError:
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pass
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return 0
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if __name__ == "__main__":
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sys.exit(main())

scripts/review_pr_g6_on_mac.sh

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#!/usr/bin/env bash
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# Mac M4 review aid for PR-G6 (chat REPL over gRPC SDK).
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#
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# This is a UX PR — its correctness comes from the underlying SDK
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# (which is already integration-tested) plus a single end-to-end
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# smoke that confirms a real interactive REPL session works against
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# a real Qwen3-0.6B-backed gRPC server.
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#
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# Smoke flow:
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# 1. Start the gRPC server in the background.
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# 2. Pipe a short conversation through chat_grpc.py via stdin.
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# 3. Capture the output; assert at least one response chunk
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# arrives + the script exits cleanly.
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#
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# Produces 1 artifact:
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# results/platform-tests/pr-g6-mac-chat-smoke-<unix>.json
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#
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# Usage (from repo root, on Mac M4):
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#
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# bash scripts/review_pr_g6_on_mac.sh
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set -euo pipefail
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ROOT="$(cd "$(dirname "$0")/.." && pwd)"
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cd "$ROOT"
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stamp="$(date +%s)"
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out_dir="results/platform-tests"
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mkdir -p "$out_dir"
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server_log="$out_dir/pr-g6-mac-chat-smoke-${stamp}.server.log"
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chat_log="$out_dir/pr-g6-mac-chat-smoke-${stamp}.chat.log"
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report="$out_dir/pr-g6-mac-chat-smoke-${stamp}.json"
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server_pid=""
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cleanup() {
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if [[ -n "$server_pid" ]] && kill -0 "$server_pid" 2>/dev/null; then
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kill "$server_pid" 2>/dev/null || true
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wait "$server_pid" 2>/dev/null || true
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fi
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}
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trap cleanup EXIT
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echo "==> starting gRPC server (logs: $server_log)"
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PYTHONPATH=.:sdks/python python3 scripts/start_grpc_runtime_server.py \
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--backend cpu --verifier-id Qwen/Qwen3-0.6B \
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--bind 127.0.0.1:50098 \
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--capacity 1 --sink 4 --window 64 \
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>"$server_log" 2>&1 &
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server_pid=$!
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echo "==> waiting up to 60s for server to become ready"
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for _ in $(seq 1 60); do
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if grep -q "kakeya gRPC RuntimeService listening on" "$server_log" 2>/dev/null; then
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break
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fi
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sleep 1
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done
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if ! grep -q "kakeya gRPC RuntimeService listening on" "$server_log"; then
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echo "!!! server did not become ready"
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tail -20 "$server_log"
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exit 1
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fi
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echo "==> piping a 3-turn conversation through chat_grpc.py"
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PYTHONPATH=.:sdks/python python3 scripts/chat_grpc.py \
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--address 127.0.0.1:50098 \
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--tokenizer-id Qwen/Qwen3-0.6B \
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--max-tokens 24 <<'INPUT' >"$chat_log" 2>&1 || true
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Hi.
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What is your favorite color?
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/info
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/exit
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INPUT
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# Acceptance: chat output contains at least 2 'kakeya>' response prompts.
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n_responses=$(grep -c '^kakeya> ' "$chat_log" || true)
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echo " chat_log: $chat_log"
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echo " response prompts: $n_responses (expect >=2)"
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PYTHONPATH=.:sdks/python python3 - "$report" "$n_responses" <<'PY'
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import json
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import platform
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import sys
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report_path, n_resp_str = sys.argv[1:3]
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n_resp = int(n_resp_str)
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report = {
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"schema_version": 1,
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"kind": "pr_g6_mac_chat_smoke",
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"host": {
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"platform": platform.platform(),
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"machine": platform.machine(),
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"python": platform.python_version(),
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},
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"n_chat_responses": n_resp,
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"passed": n_resp >= 2,
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}
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with open(report_path, "w", encoding="utf-8") as fh:
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json.dump(report, fh, indent=2)
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print(f" -> {report_path}")
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PY
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echo
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echo "==> Done. Commit:"
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echo " git add $out_dir/pr-g6-mac-*"
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echo " git commit -m 'Mac M4 review evidence for PR-G6'"
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echo " git push"

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