refactor: root-package imports (svc/runtime/interfaces) and fix PYTHONPATH

- Rename platform/ to svc/ to avoid shadowing stdlib platform.
- Replace from oclaw.* with from svc/runtime/interfaces; update -m CLI paths.
- tests/conftest: prepend repo root to sys.path (no parent-folder package name).
- CI: paths and offline_eval script under repo root.
- Ops scripts: PYTHONPATH must be repo root for python -m runtime.* (fixes gateway/WhatsApp sidecar startup).
- Fix default oclaw.json path in tabular/file attachment limits; stabilize attachment test config.

Co-authored-by: Cursor <cursoragent@cursor.com>

platform/llm/replay_policy.py

@@ -1,91 +0,0 @@
-"""Transcript replay policy for OpenAI-compatible Chat Completions.
-
-Inspired by Oclaw (MIT) `src/agents/transcript-policy.ts` defaults for
-`openai-completions`: enable strict tool-call-id sanitization so proxies and
-multi-provider histories do not break on id format / length.
-
-See OCLAW_MIT_LICENSE.txt in this package.
-"""
-
-from __future__ import annotations
-
-import os
-from dataclasses import dataclass
-from typing import Any
-
-from oclaw.platform.llm.tool_call_id import DEFAULT_MAX_OPENAI_TOOL_CALL_ID_LEN
-
-
-@dataclass(frozen=True)
-class ReplayPolicy:
-    """Controls pre-request normalization of chat messages for tool-use flow."""
-
-    enabled: bool
-    sanitize_tool_call_ids: bool
-    repair_tool_pairing: bool
-    max_tool_call_id_len: int
-
-
-def _env_bool(name: str, default: bool) -> bool:
-    raw = str(os.getenv(name) or "").strip().lower()
-    if raw in ("0", "false", "no", "off"):
-        return False
-    if raw in ("1", "true", "yes", "on"):
-        return True
-    return default
-
-
-def resolve_replay_policy(
-    base_url: str | None,
-    model_id: str | None,
-    *,
-    llm_profile_mode: str | None = None,
-) -> ReplayPolicy:
-    """Resolve replay policy for OpenAI-compatible chat completions.
-
-    When enabled (default): sanitize assistant/tool ids before every request.
-    This matches oclaw's strict OpenAI-compatible replay defaults.
-    """
-    del base_url, model_id, llm_profile_mode  # reserved for provider-specific overrides
-
-    if not _env_bool("AIA_REPLAY_POLICY_ENABLED", True):
-        return ReplayPolicy(
-            enabled=False,
-            sanitize_tool_call_ids=False,
-            repair_tool_pairing=False,
-            max_tool_call_id_len=DEFAULT_MAX_OPENAI_TOOL_CALL_ID_LEN,
-        )
-
-    max_len = DEFAULT_MAX_OPENAI_TOOL_CALL_ID_LEN
-    raw_ml = str(os.getenv("AIA_TOOL_CALL_ID_MAX_LEN") or "").strip()
-    if raw_ml.isdigit():
-        max_len = max(8, min(int(raw_ml), 128))
-
-    repair = _env_bool("AIA_REPLAY_REPAIR_TOOL_PAIRING", True)
-
-    return ReplayPolicy(
-        enabled=True,
-        sanitize_tool_call_ids=True,
-        repair_tool_pairing=repair,
-        max_tool_call_id_len=max_len,
-    )
-
-
-def apply_replay_policy_to_messages(
-    messages: list[dict[str, Any]],
-    policy: ReplayPolicy,
-) -> list[dict[str, Any]]:
-    """Apply repair + id sanitization in order."""
-    if not policy.enabled or not messages:
-        return messages
-    from oclaw.platform.llm.tool_call_id import (
-        repair_orphan_tool_messages,
-        rewrite_openai_chat_messages_tool_ids,
-    )
-
-    out = messages
-    if policy.repair_tool_pairing:
-        out = repair_orphan_tool_messages(out)
-    if policy.sanitize_tool_call_ids:
-        out = rewrite_openai_chat_messages_tool_ids(out, max_len=policy.max_tool_call_id_len)
-    return out