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https://github.com/hansjone/oclaw.git
synced 2026-10-09 03:30:48 +08:00
Fix prewarm prompt preview staleness (cache + Admin wait)
Include skill_role_binding store JSON in executor and manager prompt cache signatures so skill catalog updates after binding edits without restart. Admin async prewarm now polls prewarm/status until not running before router() so parallel prompts fetch matches completed warm. Co-authored-by: Cursor <cursoragent@cursor.com>
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parent
4dbb834c95
commit
c33ca303a2
4 changed files with 84 additions and 2 deletions
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@ -1643,10 +1643,27 @@ async function renderStack() {
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class: "btn btn--primary",
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text: currentLang === "zh" ? "立即预热" : "Run prewarm now",
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onclick: async () => {
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prewarmStatus.textContent = currentLang === "zh" ? "[预热] 提交中…" : "[prewarm] submitting…";
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const resp = await apiPost("/admin/api/runtime/prewarm", { mode: "async", reason: "admin_manual" });
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prewarmStatus.textContent = `[prewarm] accepted=${Boolean(resp && resp.accepted)}`;
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if (!(resp && resp.accepted)) {
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prewarmStatus.textContent = `[prewarm] accepted=${Boolean(resp && resp.accepted)}`;
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return;
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}
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prewarmStatus.textContent =
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currentLang === "zh"
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? "[预热] 后台执行中,完成后自动刷新本页数据(含提示词)…"
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: "[prewarm] running in background; refreshing this page when finished…";
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runtimePrewarmReminder = "";
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router();
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const maxWaitMs = 120000;
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const stepMs = 400;
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let waited = 0;
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while (waited < maxWaitMs) {
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await new Promise((r) => setTimeout(r, stepMs));
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waited += stepMs;
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const st = await apiGet("/admin/api/runtime/prewarm/status");
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if (!(st && st.running)) break;
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}
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await router();
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},
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});
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const prewarmSummary = [
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@ -9,6 +9,7 @@ from oclaw.platform.persistence.sqlite_store import SqliteStore
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from oclaw.runtime.agent_context import build_role_system_context
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from oclaw.runtime.agents.specialists import discover_specialist_ids
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from oclaw.runtime.direct_loop import tool_wire_freeze_status, warm_tool_wire_cache
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from oclaw.runtime.skill_role_binding import SKILL_ROLE_BINDING_KEY
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from oclaw.runtime.system_prompt import get_executor_prompt_static, warm_executor_prompt_cache
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from oclaw.runtime.tools.catalog import default_registry
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from oclaw.runtime.workspaces.experts import expert_workspace_signature_token, list_experts
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@ -36,6 +37,7 @@ def _manager_settings_signature(store: Any) -> tuple[str, ...]:
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"AIA_SKILL_DISABLED_NAMES",
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"AIA_SKILL_ROLE_BINDING_ENABLED",
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"AIA_SKILL_ROLE_BINDING_MANAGER_INHERIT",
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SKILL_ROLE_BINDING_KEY,
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"AIA_CHAT_SPECIALIST_FLAGS_JSON",
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)
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parts: list[str] = []
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@ -8,6 +8,7 @@ from typing import Any
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from oclaw.platform.config.paths import PROJECT_ROOT
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from oclaw.runtime.memory_stage import render_memory_context_block
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from oclaw.runtime.project_context_prompt import build_project_context_block
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from oclaw.runtime.skill_role_binding import SKILL_ROLE_BINDING_KEY
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from oclaw.runtime.skills_prompt import build_skills_catalog_block
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from oclaw.runtime.skills_workspace_lane import (
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fs_safe_workspace_lane_segment,
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@ -83,6 +84,7 @@ def _executor_prompt_settings_signature(store: Any) -> tuple[str, ...]:
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"AIA_SKILL_DISABLED_NAMES",
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"AIA_SKILL_ROLE_BINDING_ENABLED",
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"AIA_SKILL_ROLE_BINDING_MANAGER_INHERIT",
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SKILL_ROLE_BINDING_KEY,
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"AIA_PROJECT_CONTEXT_MAX_FILE_CHARS",
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"AIA_PROJECT_CONTEXT_MAX_TOTAL_CHARS",
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)
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@ -129,6 +129,67 @@ def test_executor_static_prompt_cache_invalidates_on_settings_change(monkeypatch
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assert calls["n"] == 2
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def test_executor_static_prompt_cache_invalidates_on_skill_role_binding_change(monkeypatch: pytest.MonkeyPatch) -> None:
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from oclaw.runtime import system_prompt as sp
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class DummyStore:
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def __init__(self) -> None:
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self.values: dict[str, str] = {"skill_role_binding": "{}"}
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def get_setting(self, key: str) -> str:
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return str(self.values.get(key, ""))
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class DummyReg:
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pass
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calls = {"n": 0}
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def _skills_block(**kwargs) -> str:
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_ = kwargs
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calls["n"] += 1
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return "skills-block"
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monkeypatch.setattr(sp, "expert_workspace_signature_token", lambda: ("sig",))
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monkeypatch.setattr(sp, "build_project_context_block", lambda **kwargs: "")
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monkeypatch.setattr(sp, "build_skills_catalog_block", _skills_block)
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monkeypatch.setattr(
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sp,
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"render_runtime_prompt",
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lambda prompt_id, variables, strict: f"{prompt_id}\n{variables.get('skills_catalog') or ''}",
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)
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store = DummyStore()
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reg = DummyReg()
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_ = sp.get_executor_prompt_static(
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store=store,
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tools=reg, # type: ignore[arg-type]
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base_url="",
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base_system="base",
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workspace_dir=None,
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skill_binding_role="generalist",
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)
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_ = sp.get_executor_prompt_static(
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store=store,
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tools=reg, # type: ignore[arg-type]
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base_url="",
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base_system="base",
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workspace_dir=None,
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skill_binding_role="generalist",
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)
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assert calls["n"] == 1
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store.values["skill_role_binding"] = '{"generalist": ["alpha-skill"]}'
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_ = sp.get_executor_prompt_static(
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store=store,
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tools=reg, # type: ignore[arg-type]
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base_url="",
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base_system="base",
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workspace_dir=None,
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skill_binding_role="generalist",
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)
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assert calls["n"] == 2
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def test_executor_static_prompt_cache_invalidates_on_workspace_revision_change(monkeypatch: pytest.MonkeyPatch) -> None:
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from oclaw.runtime import system_prompt as sp
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