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>

runtime/agents/factory.py

@@ -5,10 +5,10 @@ from __future__ import annotations
 import os
 from typing import Any
 
-from oclaw.runtime.agents.agent_scope import resolve_default_agent_id
-from oclaw.runtime.agents.network_ops_agent import NetworkOpsAgent
-from oclaw.runtime.agents.specialist_agent import SpecialistProfile
-from oclaw.runtime.agents.specialists import (
+from runtime.agents.agent_scope import resolve_default_agent_id
+from runtime.agents.network_ops_agent import NetworkOpsAgent
+from runtime.agents.specialist_agent import SpecialistProfile
+from runtime.agents.specialists import (
     AGENT_PROFILE_BINDINGS_KEY,
     normalize_specialist_id,
     agent_role_ids,
@@ -20,21 +20,21 @@ from oclaw.runtime.agents.specialists import (
     expert_name_for_specialist,
     parse_agent_profile_bindings,
 )
-from oclaw.runtime.chat.agent import Agent
-from oclaw.runtime.orchestration.inventory import inventory_snapshot
-from oclaw.runtime.orchestration.memory import upsert_knowledge_chunks
-from oclaw.platform.llm.chat_models import GoogleGeminiChatModel, OpenAIChatModel, RuleBasedChatModel, StaticTextChatModel
-from oclaw.platform.llm.transports.anthropic_messages import AnthropicMessagesModel
-from oclaw.platform.llm.transports.openai_responses import OpenAIResponsesModel
-from oclaw.platform.persistence.sqlite_store import (
+from runtime.chat.agent import Agent
+from runtime.orchestration.inventory import inventory_snapshot
+from runtime.orchestration.memory import upsert_knowledge_chunks
+from svc.llm.chat_models import GoogleGeminiChatModel, OpenAIChatModel, RuleBasedChatModel, StaticTextChatModel
+from svc.llm.transports.anthropic_messages import AnthropicMessagesModel
+from svc.llm.transports.openai_responses import OpenAIResponsesModel
+from svc.persistence.sqlite_store import (
     SqliteStore,
     active_llm_profile_setting_key,
     agent_profile_bindings_setting_key,
     is_administrator_model_pool,
 )
-from oclaw.runtime.prompt_templates import render_prompt
-from oclaw.runtime.tools.catalog import default_registry
-from oclaw.runtime.tools.plugin_loader import sync_plugin_metadata
+from runtime.prompt_templates import render_prompt
+from runtime.tools.catalog import default_registry
+from runtime.tools.plugin_loader import sync_plugin_metadata
 
 
 def _openai_missing_key_user_message(lang: str) -> str:

runtime/agents/network_ops_agent.py

@@ -2,10 +2,10 @@ from __future__ import annotations
 
 from typing import Any
 
-from oclaw.runtime.chat.agent import Agent
-from oclaw.runtime.agent_context import build_role_system_context
-from oclaw.platform.persistence.sqlite_store import SqliteStore
-from oclaw.runtime.tools import default_registry
+from runtime.chat.agent import Agent
+from runtime.agent_context import build_role_system_context
+from svc.persistence.sqlite_store import SqliteStore
+from runtime.tools import default_registry
 
 # Ops 专家走与 specialists 相同的工作区框架：runtime/workspaces/ops/{SOUL,ROLE_SYSTEM}.md
 NETWORK_SYSTEM_PROMPT_ZH = build_role_system_context("ops")

runtime/agents/specialist_agent.py

@@ -9,11 +9,11 @@ from collections.abc import Callable
 from dataclasses import dataclass, field
 from typing import Any, Optional
 
-from oclaw.runtime.chat.agent import Agent
-from oclaw.runtime.chat.agent import GenerationInterrupted
-from oclaw.runtime.agents.network_ops_agent import NetworkOpsAgent
-from oclaw.platform.persistence.sqlite_store import SqliteStore
-from oclaw.platform.llm.image_legacy_client import (
+from runtime.chat.agent import Agent
+from runtime.chat.agent import GenerationInterrupted
+from runtime.agents.network_ops_agent import NetworkOpsAgent
+from svc.persistence.sqlite_store import SqliteStore
+from svc.llm.image_legacy_client import (
     IMAGE_SPECIALIST_DEFAULT_PROMPT_ZH,
     collect_legacy_lane_images_from_attachments,
     collect_legacy_lane_images_with_session_fallback,
@@ -21,19 +21,19 @@ from oclaw.platform.llm.image_legacy_client import (
     legacy_image_turn_bundle,
     send_legacy_image_messages,
 )
-from oclaw.platform.llm.video_generation_client import (
+from svc.llm.video_generation_client import (
     VIDEO_SPECIALIST_DEFAULT_PROMPT_ZH,
     legacy_video_assistant_body_with_placeholder,
     legacy_video_turn_bundle,
     send_video_generation_request,
 )
-from oclaw.runtime.tools import default_registry
-from oclaw.runtime.agents.specialists import expert_name_for_specialist
+from runtime.tools import default_registry
+from runtime.agents.specialists import expert_name_for_specialist
 
-from oclaw.runtime.chat.turn_types import TurnRunOutcome
-from oclaw.runtime.relay_pointer import build_manifest_from_attachment_refs
-from oclaw.runtime.types import RelayShareEnvelope
-from oclaw.runtime.orchestration.protocol import (
+from runtime.chat.turn_types import TurnRunOutcome
+from runtime.relay_pointer import build_manifest_from_attachment_refs
+from runtime.types import RelayShareEnvelope
+from runtime.orchestration.protocol import (
     AgentTask,
     PlanStep,
     SpecialistDelivery,
@@ -361,8 +361,8 @@ class SpecialistAgentRunner:
                     path_policy_tenant_id=_path_tenant,
                     path_policy_user_id=_path_user,
                 )
-                from oclaw.runtime.gateway import OclawGateway
-                from oclaw.runtime.types import StandardMessage
+                from runtime.gateway import OclawGateway
+                from runtime.types import StandardMessage
 
                 gw = OclawGateway(store=self.store)
                 msg = StandardMessage(

runtime/agents/specialists.py

@@ -4,8 +4,8 @@ from dataclasses import dataclass
 import json
 from typing import Any
 
-from oclaw.runtime.agent_context import build_role_system_context
-from oclaw.runtime.workspaces.experts import specialist_registry_snapshot
+from runtime.agent_context import build_role_system_context
+from runtime.workspaces.experts import specialist_registry_snapshot
 
 
 SpecialistId = str