Files
next-tjwater-agent/.opencode/tools/memory_manager.ts
T
jiang 7383ed6d13 feat(agent): migrate OpenCode 2 runtime and sandbox tools
Upgrade the runtime and native plugin API to OpenCode 2.0.24. Restore
session-scoped learning, credential renewal, typed project queries and
controlled frontend actions from the legacy Agent.

Replace host Shell execution with an approved Landlock/seccomp executor
and persistent per-session workspaces. Add typed Bocha search and Tianditu
geocoding bridges using the owning session credential. Require a working
kernel sandbox before startup and persist workspace files in deployments.

Validation completed before this commit: TypeScript checks, 150 Bun tests,
Docker build and UID 10001 sandbox execution, native Shell approval and
session recovery. Tianditu succeeded; Bocha currently reports exhausted
account quota. Unrelated investigation-report contract work is excluded.
2026-10-08 15:46:37 +08:00

42 lines
1.8 KiB
TypeScript

import { tool } from "../tool.js";
import { getInternalBridgeConfig } from "../internalBridge.js";
export default tool({
description:
"管理长期有效的用户偏好或项目事实。支持 add/list/replace/remove。add 前必须先对同 scope 执行 list 并阅读现有记忆,再决定 add、replace 或 remove;不要跳过读取直接新增。禁止写入 token、password、secret、system prompt 或一次性上下文。scope 仅允许 'user' 或 'workspace'。",
args: {
action: tool.schema
.enum(["add", "list", "replace", "remove"])
.describe("Memory operation to perform."),
reason: tool.schema
.string()
.describe("Why this memory should be persisted for future requests."),
scope: tool.schema
.string()
.describe(
"Required exact keyword. Use only 'user' for user-level durable preferences/constraints, or 'workspace' for project/environment durable facts. Do not use 'project', Chinese labels, or any alias.",
),
content: tool.schema
.string()
.optional()
.describe(
"The durable fact or preference to remember, written as one concise sentence.",
),
target_id: tool.schema
.string()
.optional()
.describe("Stable memory entry id used by replace/remove."),
},
async execute(args, context) {
const { baseUrl, internalToken } = getInternalBridgeConfig();
const response = await fetch(`${baseUrl}/internal/tools/memory-manager`, {
method: "POST",
headers: { "Content-Type": "application/json", "x-agent-internal-token": internalToken },
body: JSON.stringify({ session_id: context.sessionID, input: args }),
});
const text = await response.text();
if (!response.ok) throw new Error(`learning tool failed (${response.status}): ${text}`);
return text;
},
});