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https://github.com/hansjone/oclaw.git
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oliver
b0e0c05d8a
Migrate prompt templates into runtime workspaces, add network_ops netx toolchain (latest batch injection, raw fields, SQL query), and align docs/tests/admin/runtime wiring so ops analysis can query netx detail data through stable role-scoped paths. Co-authored-by: Cursor <cursoragent@cursor.com>
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
from __future__ import annotations
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from typing import Any
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from oclaw.runtime.chat.agent import Agent
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from oclaw.runtime.agent_context import build_role_system_context
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from oclaw.platform.persistence.sqlite_store import SqliteStore
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from oclaw.runtime.tools import default_registry
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# Ops 专家走与 specialists 相同的工作区框架：runtime/workspaces/ops/{SOUL,ROLE_SYSTEM}.md
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NETWORK_SYSTEM_PROMPT_ZH = build_role_system_context("ops")
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class NetworkOpsAgent(Agent):
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"""网络运维专家 Agent：固定专家提示词与专家工具目录。"""
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def __init__(
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self,
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*,
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store: SqliteStore,
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model: Any,
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lang: str = "zh",
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llm_profile_mode: str | None = None,
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system_prompt: str | None = None,
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policy_session_id: str | None = None,
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path_policy_tenant_id: str | None = None,
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path_policy_user_id: str | None = None,
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) -> None:
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tools = default_registry(
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expert="network_ops",
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policy_session_id=policy_session_id,
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path_policy_tenant_id=path_policy_tenant_id,
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path_policy_user_id=path_policy_user_id,
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store=store,
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)
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super().__init__(
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store=store,
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tools=tools,
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model=model,
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system_prompt=(system_prompt or NETWORK_SYSTEM_PROMPT_ZH),
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lang=lang,
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llm_profile_mode=llm_profile_mode,
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)
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__all__ = ["NetworkOpsAgent", "NETWORK_SYSTEM_PROMPT_ZH"]
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