Initial commit: Natural Memory Agent Lab：模型服务 + TypeScript agent + 记忆能力场景评测（冲突更新、跨会话回忆、遗忘撤回、多跳、未知拒答）
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||||
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||||
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||||
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||||
"google-auth-library": ["[email protected]", "", { "dependencies": { "base64-js": "^1.3.0", "ecdsa-sig-formatter": "^1.0.11", "gaxios": "^7.1.4", "gcp-metadata": "8.1.2", "google-logging-utils": "1.1.3", "jws": "^4.0.0" } }, "sha512-i1ydyHrqcIxXkWh/uBmVkzCvIuq5yiK2ATndIe5XxKholrG/MTYP9xGYka4sQhrbIAgGjL2B6NOE7rFaiF3fXw=="],
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||||
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||||
"google-logging-utils": ["[email protected]", "", {}, "sha512-eAmLkjDjAFCVXg7A1unxHsLf961m6y17QFqXqAXGj/gVkKFrEICfStRfwUlGNfeCEjNRa32JEWOUTlYXPyyKvA=="],
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||||
"http-proxy-agent": ["[email protected]", "", { "dependencies": { "agent-base": "^7.1.0", "debug": "^4.3.4" } }, "sha512-T1gkAiYYDWYx3V5Bmyu7HcfcvL7mUrTWiM6yOfa3PIphViJ/gFPbvidQ+veqSOHci/PxBcDabeUNCzpOODJZig=="],
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||||
"https-proxy-agent": ["[email protected]", "", { "dependencies": { "agent-base": "^7.1.2", "debug": "4" } }, "sha512-vK9P5/iUfdl95AI+JVyUuIcVtd4ofvtrOr3HNtM2yxC9bnMbEdp3x01OhQNnjb8IJYi38VlTE3mBXwcfvywuSw=="],
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"ignore": ["[email protected]", "", {}, "sha512-Hs59xBNfUIunMFgWAbGX5cq6893IbWg4KnrjbYwX3tx0ztorVgTDA6B2sxf8ejHJ4wz8BqGUMYlnzNBer5NvGg=="],
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"json-bigint": ["[email protected]", "", { "dependencies": { "bignumber.js": "^9.0.0" } }, "sha512-SiPv/8VpZuWbvLSMtTDU8hEfrZWg/mH/nV/b4o0CYbSxu1UIQPLdwKOCIyLQX+VIPO5vrLX3i8qtqFyhdPSUSQ=="],
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"jwa": ["[email protected]", "", { "dependencies": { "buffer-equal-constant-time": "^1.0.1", "ecdsa-sig-formatter": "1.0.11", "safe-buffer": "^5.0.1" } }, "sha512-hRF04fqJIP8Abbkq5NKGN0Bbr3JxlQ+qhZufXVr0DvujKy93ZCbXZMHDL4EOtodSbCWxOqR8MS1tXA5hwqCXDg=="],
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"jws": ["[email protected]", "", { "dependencies": { "jwa": "^2.0.1", "safe-buffer": "^5.0.1" } }, "sha512-EKI/M/yqPncGUUh44xz0PxSidXFr/+r0pA70+gIYhjv+et7yxM+s29Y+VGDkovRofQem0fs7Uvf4+YmAdyRduA=="],
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"long": ["[email protected]", "", {}, "sha512-mNAgZ1GmyNhD7AuqnTG3/VQ26o760+ZYBPKjPvugO8+nLbYfX6TVpJPseBvopbdY+qpZ/lKUnmEc1LeZYS3QAA=="],
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"ms": ["[email protected]", "", {}, "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="],
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"node-domexception": ["[email protected]", "", {}, "sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ=="],
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"node-fetch": ["[email protected]", "", { "dependencies": { "data-uri-to-buffer": "^4.0.0", "fetch-blob": "^3.1.4", "formdata-polyfill": "^4.0.10" } }, "sha512-dRB78srN/l6gqWulah9SrxeYnxeddIG30+GOqK/9OlLVyLg3HPnr6SqOWTWOXKRwC2eGYCkZ59NNuSgvSrpgOA=="],
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"openai": ["[email protected]", "", { "peerDependencies": { "ws": "^8.18.0", "zod": "^3.25 || ^4.0" }, "optionalPeers": ["ws", "zod"], "bin": { "openai": "bin/cli" } }, "sha512-zd23dbWTjiJ6sSAX6s0HrCZi41JwTA1bQVs0wLQPZ2/5o2gxOJA5wh7yOAUgwYybfhDXyhwlpeQf7Mlgx8EOCA=="],
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"p-retry": ["[email protected]", "", { "dependencies": { "@types/retry": "0.12.0", "retry": "^0.13.1" } }, "sha512-312Id396EbJdvRONlngUx0NydfrIQ5lsYu0znKVUzVvArzEIt08V1qhtyESbGVd1FGX7UKtiFp5uwKZdM8wIuQ=="],
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"partial-json": ["[email protected]", "", {}, "sha512-Njv/59hHaokb/hRUjce3Hdv12wd60MtM9Z5Olmn+nehe0QDAsRtRbJPvJ0Z91TusF0SuZRIvnM+S4l6EIP8leA=="],
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"protobufjs": ["[email protected]", "", { "dependencies": { "@protobufjs/aspromise": "^1.1.2", "@protobufjs/base64": "^1.1.2", "@protobufjs/codegen": "^2.0.5", "@protobufjs/eventemitter": "^1.1.1", "@protobufjs/fetch": "^1.1.1", "@protobufjs/float": "^1.0.2", "@protobufjs/path": "^1.1.2", "@protobufjs/pool": "^1.1.0", "@protobufjs/utf8": "^1.1.1", "@types/node": ">=13.7.0", "long": "^5.3.2" } }, "sha512-dYDWdjSl5RNb7SgPxGQcRU+GtvP7s2fpkrY0r432PcOIaZ0/rBcxEZnQN67iJhFuQiVw754JDoPruPCNdGsbjg=="],
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"retry": ["[email protected]", "", {}, "sha512-XQBQ3I8W1Cge0Seh+6gjj03LbmRFWuoszgK9ooCpwYIrhhoO80pfq4cUkU5DkknwfOfFteRwlZ56PYOGYyFWdg=="],
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"safe-buffer": ["[email protected]", "", {}, "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ=="],
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"ts-algebra": ["[email protected]", "", {}, "sha512-FPAhNPFMrkwz76P7cdjdmiShwMynZYN6SgOujD1urY4oNm80Ou9oMdmbR45LotcKOXoy7wSmHkRFE6Mxbrhefw=="],
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"tslib": ["[email protected]", "", {}, "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w=="],
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"typebox": ["[email protected]", "", {}, "sha512-pZ0aQPmMmXoUvSbeuWf/Hzsc+avNw/Zd6VeE8CFgkVGWyuHPJvqeJJDeJqLve+K70LvjYIoleGcoJHPT17cWoA=="],
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"typescript": ["[email protected]", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw=="],
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"undici-types": ["[email protected]", "", {}, "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ=="],
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"ws": ["[email protected]", "", { "peerDependencies": { "bufferutil": "^4.0.1", "utf-8-validate": ">=5.0.2" }, "optionalPeers": ["bufferutil", "utf-8-validate"] }, "sha512-201TZ/kPWxoPr/OKWjquZR1SWKXcvxdH+e1xrx89b3YbmzLMFCLfnaG1HFIgWzJOEWZ7MvpK++odZufgYR50Rw=="],
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"yaml": ["[email protected]", "", { "bin": { "yaml": "bin.mjs" } }, "sha512-2AvhNX3mb8zd6Zy7INTtSpl1F15HW6Wnqj0srWlkKLcpYl/gMIMJiyuGq2KeI2YFxUPjdlB+3Lc10seMLtL4cA=="],
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"zod": ["[email protected]", "", {}, "sha512-AXSD6hvGdvRjajG/l1cC+d6IrhH+sjmPKtYeQdJIK8MFJl3LyClzS+o/YsVC+zQZPupAaeH5skwwm8YqYH7BqA=="],
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||||
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||||
"@aws-sdk/credential-provider-http/@smithy/node-http-handler": ["@smithy/[email protected]", "", { "dependencies": { "@smithy/core": "^3.33.3", "@smithy/types": "^4.18.0", "tslib": "^2.6.2" } }, "sha512-ThMkboGeONWXAelq9FvGsuJC4rOi+qyC4/zhUF58xYpxUg5sQKx2VXZYJmtNjr4dSuBJ1HeJXETQILCz3wOHvw=="],
|
||||
|
||||
"@aws-sdk/credential-provider-sso/@aws-sdk/token-providers": ["@aws-sdk/[email protected]", "", { "dependencies": { "@aws-sdk/core": "^3.978.0", "@aws-sdk/nested-clients": "^3.997.45", "@aws-sdk/types": "^3.974.5", "@smithy/core": "^3.33.3", "@smithy/types": "^4.17.2", "tslib": "^2.6.2" } }, "sha512-Sbl3rpzQdsG4ZK2zh0JWUYyZPKKorJlVOddA2T0DVbKJFrsW8J6wgnslxxUH04+WaBMr4A1HzJZvZX0xUvkniA=="],
|
||||
|
||||
"@aws-sdk/nested-clients/@smithy/node-http-handler": ["@smithy/[email protected]", "", { "dependencies": { "@smithy/core": "^3.33.3", "@smithy/types": "^4.18.0", "tslib": "^2.6.2" } }, "sha512-ThMkboGeONWXAelq9FvGsuJC4rOi+qyC4/zhUF58xYpxUg5sQKx2VXZYJmtNjr4dSuBJ1HeJXETQILCz3wOHvw=="],
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,53 @@
|
||||
/**
|
||||
* 验证「会话卫生」所依赖的机制是否真的有效 —— 不需要模型、不需要显卡。
|
||||
*
|
||||
* 背景：熔断中止后，我用 `agent.state.messages = [...]` 把被污染的尾巴换成一句干净的说明。
|
||||
* 但实测里下一轮仍在复读旧对话，我当时记为"卫生没生效"。这里直接验证机制本身：
|
||||
* 1) `agent.state.messages` 赋值是否被采纳？
|
||||
* 2) 赋值是否复制数组（Pi 的注释声称会复制）？
|
||||
* 3) 赋值后 `get messages` 读回来的是不是新内容？
|
||||
*/
|
||||
|
||||
import { Agent } from "@earendil-works/pi-agent-core";
|
||||
|
||||
const agent = new Agent({
|
||||
initialState: {
|
||||
systemPrompt: "test",
|
||||
model: {} as never,
|
||||
tools: [],
|
||||
messages: [],
|
||||
thinkingLevel: "off",
|
||||
},
|
||||
streamFn: (() => {
|
||||
throw new Error("not used");
|
||||
}) as never,
|
||||
sessionId: "hygiene-check",
|
||||
});
|
||||
|
||||
const before = agent.state.messages.length;
|
||||
console.log(`初始 messages 长度 = ${before}`);
|
||||
|
||||
const replacement = [
|
||||
{ role: "user", content: [{ type: "text", text: "原始问题" }] },
|
||||
{ role: "assistant", content: [{ type: "text", text: "(本轮中止说明)" }] },
|
||||
];
|
||||
|
||||
agent.state.messages = replacement as never;
|
||||
const after = agent.state.messages;
|
||||
console.log(`赋值后 messages 长度 = ${after.length}`);
|
||||
console.log(`内容与预期一致 = ${JSON.stringify(after) === JSON.stringify(replacement)}`);
|
||||
|
||||
// 复制语义：改原数组不应影响内部状态
|
||||
replacement.push({ role: "user", content: [{ type: "text", text: "事后追加" }] } as never);
|
||||
console.log(`改动源数组后内部长度 = ${agent.state.messages.length}（若仍为 2，说明是复制）`);
|
||||
|
||||
// 读回来的对象是不是同一引用（对象字面量 getter 每次返回同一个数组）
|
||||
const first = agent.state.messages;
|
||||
const second = agent.state.messages;
|
||||
console.log(`两次读取是同一引用 = ${first === second}`);
|
||||
|
||||
console.log(
|
||||
after.length === 2 && agent.state.messages.length === 2
|
||||
? "结论：赋值机制有效 —— 会话卫生的失败不能归因于此"
|
||||
: "结论：赋值机制无效 —— 这就是会话卫生失败的原因",
|
||||
);
|
||||
@@ -0,0 +1,21 @@
|
||||
{
|
||||
"name": "natural-memory-agent-lab",
|
||||
"private": true,
|
||||
"version": "0.1.0",
|
||||
"type": "module",
|
||||
"description": "Test-agent harness for the Natural Memory v2 model, built on the Pi agent toolkit (pi-agent-core + pi-ai).",
|
||||
"scripts": {
|
||||
"typecheck": "tsc --noEmit",
|
||||
"tui": "bun run src/tui.ts",
|
||||
"scenario": "bun run src/run_scenario.ts --arm both",
|
||||
"suite": "bun run src/run_scenario.ts --scenario-all scenarios --arm both"
|
||||
},
|
||||
"dependencies": {
|
||||
"@earendil-works/pi-agent-core": "^0.82.1",
|
||||
"@earendil-works/pi-ai": "^0.82.1"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/node": "^22.0.0",
|
||||
"typescript": "^5.6.0"
|
||||
}
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"baseUrl": "http://127.0.0.1:8766/v1",
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项目 项目-星尘 的负责人是 成员-林澈。
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项目 项目-星尘 的负责人是 成员-林澈。
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成员 成员-林澈 的工号是 H-9F3K2。
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{"session":"conflict_update:off:s1","turn":1,"userMessage":"更正一下：我的默认语言改成 葡萄牙语，日语作废。","assistantText":"好的，已更正您的默认语言为葡萄牙语，日语已作废。","toolCalls":[{"name":"notes","args":{"action":"append","text":"用户的默认语言是 葡萄牙语。日语作废。"}}],"toolResults":[{"name":"notes","result":"{\"content\":[{\"type\":\"text\",\"text\":\"appended\"}],\"details\":{\"path\":\"H:\\\\Memory\\\\agent_lab\\\\agent\\\\runs\\\\v4\\\\scratchpad\\\\off.txt\"}}"}],"wallSeconds":5.955,"diagnostics":{"turn":11,"kind":"chat","at":1789311421.2381313,"user_message":"","assistant_text":"好的，已更正您的默认语言为葡萄牙语，日语已作废。","reasoning_chars":0,"router_decisions":[{"need_memory":false,"page_ids":[],"record_ids":[],"page_scores":[],"record_scores":[],"hop_count":0,"hop_trace":[],"confidence":9.413716384187865e-7,"stop_reason":"router_abstained","top_score":0,"score_margin":0,"evidence_score":0}],"prefix_tokens":0,"read_seconds":0.5171533999964595,"coverage":{"configured":true,"loaded":true,"bound_to_bank":true,"vocabulary_fraction":0.9,"head":{"path":"H:\\Memory\\V2_dpskw\\qwen3_5_4b_natural_memory_v2_1\\memory_attribute_head.pt","attributes":24,"vocabulary":["主管姓名","入职年份","出生城市","办公城市","午餐偏好","咖啡口味","团队名称","客户名称","宿舍楼号","工位楼层","常住城市","常用编辑器","手机尾号","档案标识","紧急联系人姓氏","设备型号","课程名称","起床时间","运动习惯","通勤方式","邮箱域名","阅读工具","项目代号","默认语言"],"coverage_stats":{"applicable":0,"bypassed":11}}},"no_evidence":false,"memory_mode":"off","memory_changed":false,"reset_triggered":false,"tool_calls":[],"overrides":{},"prompt_tokens":1965,"completion_tokens":18,"generation_seconds":1.771,"total_seconds":1.775,"snapshot":{"router_decisions":[{"need_memory":false,"page_ids":[],"record_ids":[],"page_scores":[],"record_scores":[],"hop_count":0,"hop_trace":[],"confidence":9.413716384187865e-7,"stop_reason":"router_abstained","top_score":0,"score_margin":0,"evidence_score":0}],"no_evidence":false,"prefix_tokens":0,"prefix_used":false,"read_seconds":0.5171533999964595,"auto_memory_probability":null,"auto_forget_probability":[0.004185875877737999],"context_compaction":{"compacted":false,"archived_records":0,"archived_tokens":0,"original_tokens":[1965],"retained_tokens":[1965],"hot_limit":32768,"archive_requested":true},"coverage":{"configured":true,"loaded":true,"bound_to_bank":true,"vocabulary_fraction":0.9,"head":{"path":"H:\\Memory\\V2_dpskw\\qwen3_5_4b_natural_memory_v2_1\\memory_attribute_head.pt","attributes":24,"vocabulary":["主管姓名","入职年份","出生城市","办公城市","午餐偏好","咖啡口味","团队名称","客户名称","宿舍楼号","工位楼层","常住城市","常用编辑器","手机尾号","档案标识","紧急联系人姓氏","设备型号","课程名称","起床时间","运动习惯","通勤方式","邮箱域名","阅读工具","项目代号","默认语言"],"coverage_stats":{"applicable":0,"bypassed":11}}},"memory":{"pages":0,"max_pages":32768,"page_capacity":32,"capacity_records":1048576,"open_pages":0,"records":0,"active_records":0,"superseded_records":0,"retracted_records":0,"quarantined_records":0,"hot_pages":0,"warm_pages":0,"cold_pages":0,"active_conflict_keys":0,"coarse_index_buckets":0,"last_coarse_candidates":0,"storage_mode":"embedded","resident_records":0,"resident_pages":0,"gpu_cache_records":0,"gpu_cache_tokens":0,"gpu_cache_bytes":0,"gpu_cache_hits":0,"gpu_cache_misses":0,"gpu_cache_fallbacks":0,"gpu_cache_alloc_failures":0,"gpu_cache_device":"cuda:0","gpu_cache_limit_records":256,"gpu_cache_limit_tokens":131072,"gpu_cache_reserve_mb":2048,"gpu_cache_adaptive":true,"gpu_cache_last_free_mb":null,"kv_budget":{"max_tokens":32768,"trigger_tokens":29491},"enabled":true,"router_ready":true}}},"memoryAfter":{"pages":0,"max_pages":32768,"page_capacity":32,"capacity_records":1048576,"open_pages":0,"records":0,"active_records":0,"superseded_records":0,"retracted_records":0,"quarantined_records":0,"hot_pages":0,"warm_pages":0,"cold_pages":0,"active_conflict_keys":0,"coarse_index_buckets":0,"last_coarse_candidates":0,"storage_mode":"embedded","resident_records":0,"resident_pages":0,"gpu_cache_records":0,"gpu_cache_tokens":0,"gpu_cache_bytes":0,"gpu_cache_hits":0,"gpu_cache_misses":0,"gpu_cache_fallbacks":0,"gpu_cache_alloc_failures":0,"gpu_cache_device":"cuda:0","gpu_cache_limit_records":256,"gpu_cache_limit_tokens":131072,"gpu_cache_reserve_mb":2048,"gpu_cache_adaptive":true,"gpu_cache_last_free_mb":null,"kv_budget":{"max_tokens":32768,"trigger_tokens":29491},"enabled":true,"router_ready":true}}
|
||||
{"session":"conflict_update:off:s2","turn":0,"userMessage":"我的默认语言是什么？只回答语言名。","assistantText":"中文","toolCalls":[],"toolResults":[],"wallSeconds":1.016,"diagnostics":{"turn":12,"kind":"chat","at":1789311422.257856,"user_message":"","assistant_text":"中文","reasoning_chars":0,"router_decisions":[{"need_memory":false,"page_ids":[],"record_ids":[],"page_scores":[],"record_scores":[],"hop_count":0,"hop_trace":[],"confidence":0.000005372706709749764,"stop_reason":"router_abstained","top_score":0,"score_margin":0,"evidence_score":0}],"prefix_tokens":0,"read_seconds":0.44491910000215285,"coverage":{"configured":true,"loaded":true,"bound_to_bank":true,"vocabulary_fraction":0.9,"head":{"path":"H:\\Memory\\V2_dpskw\\qwen3_5_4b_natural_memory_v2_1\\memory_attribute_head.pt","attributes":24,"vocabulary":["主管姓名","入职年份","出生城市","办公城市","午餐偏好","咖啡口味","团队名称","客户名称","宿舍楼号","工位楼层","常住城市","常用编辑器","手机尾号","档案标识","紧急联系人姓氏","设备型号","课程名称","起床时间","运动习惯","通勤方式","邮箱域名","阅读工具","项目代号","默认语言"],"coverage_stats":{"applicable":0,"bypassed":12}}},"no_evidence":false,"memory_mode":"off","memory_changed":false,"reset_triggered":false,"tool_calls":[],"overrides":{},"prompt_tokens":1789,"completion_tokens":4,"generation_seconds":1.009,"total_seconds":1.012,"snapshot":{"router_decisions":[{"need_memory":false,"page_ids":[],"record_ids":[],"page_scores":[],"record_scores":[],"hop_count":0,"hop_trace":[],"confidence":0.000005372706709749764,"stop_reason":"router_abstained","top_score":0,"score_margin":0,"evidence_score":0}],"no_evidence":false,"prefix_tokens":0,"prefix_used":false,"read_seconds":0.44491910000215285,"auto_memory_probability":null,"auto_forget_probability":[0.004185875877737999],"context_compaction":{"compacted":false,"archived_records":0,"archived_tokens":0,"original_tokens":[1789],"retained_tokens":[1789],"hot_limit":32768,"archive_requested":true},"coverage":{"configured":true,"loaded":true,"bound_to_bank":true,"vocabulary_fraction":0.9,"head":{"path":"H:\\Memory\\V2_dpskw\\qwen3_5_4b_natural_memory_v2_1\\memory_attribute_head.pt","attributes":24,"vocabulary":["主管姓名","入职年份","出生城市","办公城市","午餐偏好","咖啡口味","团队名称","客户名称","宿舍楼号","工位楼层","常住城市","常用编辑器","手机尾号","档案标识","紧急联系人姓氏","设备型号","课程名称","起床时间","运动习惯","通勤方式","邮箱域名","阅读工具","项目代号","默认语言"],"coverage_stats":{"applicable":0,"bypassed":12}}},"memory":{"pages":0,"max_pages":32768,"page_capacity":32,"capacity_records":1048576,"open_pages":0,"records":0,"active_records":0,"superseded_records":0,"retracted_records":0,"quarantined_records":0,"hot_pages":0,"warm_pages":0,"cold_pages":0,"active_conflict_keys":0,"coarse_index_buckets":0,"last_coarse_candidates":0,"storage_mode":"embedded","resident_records":0,"resident_pages":0,"gpu_cache_records":0,"gpu_cache_tokens":0,"gpu_cache_bytes":0,"gpu_cache_hits":0,"gpu_cache_misses":0,"gpu_cache_fallbacks":0,"gpu_cache_alloc_failures":0,"gpu_cache_device":"cuda:0","gpu_cache_limit_records":256,"gpu_cache_limit_tokens":131072,"gpu_cache_reserve_mb":2048,"gpu_cache_adaptive":true,"gpu_cache_last_free_mb":null,"kv_budget":{"max_tokens":32768,"trigger_tokens":29491},"enabled":true,"router_ready":true}}},"memoryAfter":{"pages":0,"max_pages":32768,"page_capacity":32,"capacity_records":1048576,"open_pages":0,"records":0,"active_records":0,"superseded_records":0,"retracted_records":0,"quarantined_records":0,"hot_pages":0,"warm_pages":0,"cold_pages":0,"active_conflict_keys":0,"coarse_index_buckets":0,"last_coarse_candidates":0,"storage_mode":"embedded","resident_records":0,"resident_pages":0,"gpu_cache_records":0,"gpu_cache_tokens":0,"gpu_cache_bytes":0,"gpu_cache_hits":0,"gpu_cache_misses":0,"gpu_cache_fallbacks":0,"gpu_cache_alloc_failures":0,"gpu_cache_device":"cuda:0","gpu_cache_limit_records":256,"gpu_cache_limit_tokens":131072,"gpu_cache_reserve_mb":2048,"gpu_cache_adaptive":true,"gpu_cache_last_free_mb":null,"kv_budget":{"max_tokens":32768,"trigger_tokens":29491},"enabled":true,"router_ready":true}}
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@@ -0,0 +1 @@
|
||||
紧急联系人：王工，电话分机 7781
|
||||
@@ -0,0 +1,35 @@
|
||||
{
|
||||
"baseUrl": "http://127.0.0.1:8766/v1",
|
||||
"outDir": "H:\\Memory\\agent_lab\\agent\\runs\\v4",
|
||||
"arms": [
|
||||
"on",
|
||||
"off"
|
||||
],
|
||||
"scenarios": [
|
||||
{
|
||||
"id": "conflict_update",
|
||||
"description": "同一属性先给旧值再给新值；跨会话询问时必须返回新值，且旧值不得作为 active 事实被读取。",
|
||||
"arms": {
|
||||
"on": {
|
||||
"activeRecords": 1,
|
||||
"assertionsPassed": 3,
|
||||
"assertionsTotal": 3,
|
||||
"passRate": 1,
|
||||
"failures": [],
|
||||
"meanSecondsPerTurn": 9.42
|
||||
},
|
||||
"off": {
|
||||
"activeRecords": 0,
|
||||
"assertionsPassed": 1,
|
||||
"assertionsTotal": 3,
|
||||
"passRate": 0.3333333333333333,
|
||||
"failures": [
|
||||
"answer_contains: missing one of [\"葡萄牙语\",\"葡萄牙\"]",
|
||||
"active_record_contains: absent from active memory"
|
||||
],
|
||||
"meanSecondsPerTurn": 3.69
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"id": "conflict_update",
|
||||
"description": "同一属性先给旧值再给新值；跨会话询问时必须返回新值，且旧值不得作为 active 事实被读取。",
|
||||
"sessions": [
|
||||
{
|
||||
"id": "s1",
|
||||
"turns": [
|
||||
"记一下：我的默认语言是 日语。",
|
||||
"更正一下：我的默认语言改成 葡萄牙语，日语作废。"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "s2",
|
||||
"turns": [
|
||||
"我的默认语言是什么？只回答语言名。"
|
||||
]
|
||||
}
|
||||
],
|
||||
"assertions": [
|
||||
{ "type": "answer_contains", "session": "s2", "turn": 0, "any": ["葡萄牙语", "葡萄牙"] },
|
||||
{ "type": "answer_not_contains", "session": "s2", "turn": 0, "any": ["日语"] },
|
||||
{ "type": "active_record_contains", "any": ["葡萄牙语"] }
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"id": "cross_session_recall",
|
||||
"description": "写入事实后，在全新会话（空上下文、无历史文本）中询问该事实。这正是 in-model memory 存在的理由。",
|
||||
"memory_write_turns": [0],
|
||||
"sessions": [
|
||||
{
|
||||
"id": "s1",
|
||||
"turns": [
|
||||
"记一下：我的项目代号是 蓝鲸-47，部署区域是 ap-southeast-3。",
|
||||
"谢谢。"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "s2",
|
||||
"turns": [
|
||||
"我的项目代号是什么？只回答代号本身。"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "s3",
|
||||
"turns": [
|
||||
"部署区域呢？只回答区域本身。"
|
||||
]
|
||||
}
|
||||
],
|
||||
"assertions": [
|
||||
{ "type": "answer_contains", "session": "s2", "turn": 0, "any": ["蓝鲸-47", "蓝鲸 47", "蓝鲸47"] },
|
||||
{ "type": "answer_contains", "session": "s3", "turn": 0, "any": ["ap-southeast-3", "apse-3"] },
|
||||
{ "type": "active_record_contains", "any": ["蓝鲸-47"] }
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,28 @@
|
||||
{
|
||||
"id": "forget_retraction",
|
||||
"description": "写入事实后明确要求遗忘；跨会话再问时必须不再使用该事实（撤回/覆盖语义），且不得把已忘内容当现状。",
|
||||
"sessions": [
|
||||
{
|
||||
"id": "s1",
|
||||
"turns": [
|
||||
"记一下：我的紧急联系人是 王工，电话分机 7781。"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "s2",
|
||||
"turns": [
|
||||
"请遗忘我的紧急联系人信息，不要再保留和使用它。"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "s3",
|
||||
"turns": [
|
||||
"我的紧急联系人分机是多少？如果已经不保留这条信息，就直接说明。"
|
||||
]
|
||||
}
|
||||
],
|
||||
"assertions": [
|
||||
{ "type": "answer_not_contains", "session": "s3", "turn": 0, "any": ["7781"] },
|
||||
{ "type": "answer_contains", "session": "s3", "turn": 0, "any": ["没有", "不知道", "已", "无法确认", "未保留"] }
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"id": "multi_hop_chain",
|
||||
"description": "两条事实构成推理链（项目→负责人→工号）。跨会话问最终属性时，模型必须串起两跳而不是只取一跳。",
|
||||
"sessions": [
|
||||
{
|
||||
"id": "s1",
|
||||
"turns": [
|
||||
"记两件事：项目 项目-星尘 的负责人是 成员-林澈。",
|
||||
"另外：成员 成员-林澈 的工号是 H-9F3K2。"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "s2",
|
||||
"turns": [
|
||||
"项目-星尘 的负责人的工号是什么？需要的话可以分步推导，最后只回答工号。"
|
||||
]
|
||||
}
|
||||
],
|
||||
"assertions": [
|
||||
{ "type": "answer_contains", "session": "s2", "turn": 0, "any": ["H-9F3K2", "H 9F3K2", "9F3K2"] },
|
||||
{ "type": "answer_not_contains", "session": "s2", "turn": 0, "any": ["不知道", "没有记录"] }
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"id": "unknown_abstention",
|
||||
"description": "只写入一条无关事实，然后询问从未提及的属性。模型必须明确表示不知道，而不是编造或把相似记忆硬当答案。",
|
||||
"sessions": [
|
||||
{
|
||||
"id": "s1",
|
||||
"turns": [
|
||||
"记一下：我的工位在 3 楼东侧。"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "s2",
|
||||
"turns": [
|
||||
"我的血型是什么？如果不知道就直说不知道，不要猜。"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "s3",
|
||||
"turns": [
|
||||
"我上个月去哪出差了？没有记录的话请直接说没有记录。"
|
||||
]
|
||||
}
|
||||
],
|
||||
"assertions": [
|
||||
{ "type": "answer_contains", "session": "s2", "turn": 0, "any": ["不知道", "没有记录", "无法确认", "未找到", "不清楚"] },
|
||||
{ "type": "answer_not_contains", "session": "s2", "turn": 0, "any": ["A 型", "B 型", "O 型", "AB 型"] },
|
||||
{ "type": "answer_contains", "session": "s3", "turn": 0, "any": ["没有记录", "不知道", "无法确认", "未找到", "不清楚"] }
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,297 @@
|
||||
/**
|
||||
* The test agent: a Pi `Agent` wired to the local Natural Memory model, with memory
|
||||
* instrumentation attached to the event stream.
|
||||
*
|
||||
* A `prompt()` can span several Pi turns (each tool call adds one). The recorder
|
||||
* flushes one `RecordedTurn` per *user message*, so a scenario assertion maps to a
|
||||
* human-visible exchange rather than to an internal loop iteration.
|
||||
*/
|
||||
|
||||
import { Agent } from "@earendil-works/pi-agent-core";
|
||||
import { MemoryClient, MemoryRecorder, type MemoryMode, type RecordedTurn } from "./memory.ts";
|
||||
import { NM2Client } from "./nm2.ts";
|
||||
import { buildTools } from "./tools.ts";
|
||||
|
||||
/** Loose view of Pi's event union; narrowed by `type` at runtime. */
|
||||
export interface AgentEventLike {
|
||||
type: string;
|
||||
message?: { role?: string; content?: unknown };
|
||||
assistantMessageEvent?: { type?: string; delta?: string };
|
||||
toolCallId?: string;
|
||||
toolName?: string;
|
||||
args?: unknown;
|
||||
result?: unknown;
|
||||
}
|
||||
|
||||
export interface TestAgentOptions {
|
||||
models: { streamSimple: (...args: any[]) => any };
|
||||
model: unknown;
|
||||
session: string;
|
||||
memoryBaseUrl: string;
|
||||
workspace: string;
|
||||
notesPath: string;
|
||||
systemPrompt: string;
|
||||
memoryMode?: MemoryMode;
|
||||
onEvent?: (event: AgentEventLike) => void;
|
||||
/** Hard ceiling on tool calls per user message; a small model can otherwise loop. */
|
||||
maxToolCallsPerExchange?: number;
|
||||
/** Identical (tool, args) calls allowed before the call is blocked. */
|
||||
maxIdenticalToolCalls?: number;
|
||||
}
|
||||
|
||||
export interface TestAgent {
|
||||
agent: Agent;
|
||||
memory: MemoryClient;
|
||||
nm2: NM2Client;
|
||||
recorder: MemoryRecorder;
|
||||
/** Send one user message and wait for the full exchange to settle. */
|
||||
ask(text: string): Promise<RecordedTurn[]>;
|
||||
close(): void;
|
||||
}
|
||||
|
||||
/** Questions that ask for an amount, and so need a tool behind the number in the answer. */
|
||||
const ASKS_FOR_AN_AMOUNT =
|
||||
/(多少|几个|几多|数量|多大|大小|剩余|可用|文件数|行数|占比|count|how many|how much|how big|size|space|total)/i;
|
||||
|
||||
/**
|
||||
* What the model is told when it states a quantity it never looked up.
|
||||
*
|
||||
* Deliberately concrete: it names the tools and repeats that "I could not get it" is an
|
||||
* acceptable answer, because that is the outcome the previous version was avoiding by
|
||||
* inventing a number.
|
||||
*/
|
||||
const ENFORCE_TOOL_USE_NUDGE =
|
||||
"你刚才在回答里给出了一个数字，但这一轮没有调用任何工具，所以那个数字没有出处，不能采信。" +
|
||||
"现在请先调用工具核实：磁盘空间用 disk_space，文件数量或目录内容用 list_files，" +
|
||||
"其它情况用 run_shell 或 read_file。核实之后只回答你真正拿到的结果；" +
|
||||
"如果拿不到，就直说拿不到，不要给数字。";
|
||||
|
||||
/**
|
||||
* True when the answer states a quantity that no tool could have supplied.
|
||||
*
|
||||
* This is a *check*, not a fix: a 4B checkpoint that has already been told "never guess a
|
||||
* number you did not receive from a tool" still answered "100 GB" for free space (truth
|
||||
* 34 GB) and "0 files" for a directory (truth 46), both with zero tool calls. Surfacing it
|
||||
* is what keeps a fabricated number from passing for a measurement.
|
||||
*/
|
||||
function isUnverifiedQuantity(userMessage: string, assistantText: string, toolCallCount: number): boolean {
|
||||
if (toolCallCount > 0) return false;
|
||||
if (!ASKS_FOR_AN_AMOUNT.test(userMessage)) return false;
|
||||
return /\d/.test(assistantText);
|
||||
}
|
||||
|
||||
function contentToString(content: unknown): string { if (typeof content === "string") return content;
|
||||
if (Array.isArray(content)) {
|
||||
return content
|
||||
.map((part) => (typeof part === "string" ? part : String((part as { text?: string })?.text ?? "")))
|
||||
.join("");
|
||||
}
|
||||
return "";
|
||||
}
|
||||
|
||||
export async function createTestAgent(options: TestAgentOptions): Promise<TestAgent> {
|
||||
const memory = new MemoryClient(options.memoryBaseUrl);
|
||||
const nm2 = new NM2Client(options.memoryBaseUrl);
|
||||
if (options.memoryMode) {
|
||||
await nm2.setMode(options.memoryMode);
|
||||
}
|
||||
const recorder = new MemoryRecorder(memory, options.session);
|
||||
const tools = buildTools({ workspace: options.workspace, memory, nm2, notesPath: options.notesPath });
|
||||
|
||||
const agent = new Agent({
|
||||
initialState: {
|
||||
systemPrompt: options.systemPrompt,
|
||||
model: options.model as any,
|
||||
tools,
|
||||
messages: [],
|
||||
thinkingLevel: "off",
|
||||
},
|
||||
streamFn: (options.models.streamSimple as any).bind(options.models),
|
||||
toolExecution: "parallel",
|
||||
sessionId: options.session,
|
||||
});
|
||||
|
||||
// ---- per-exchange accumulators -----------------------------------------
|
||||
let userMessage = "";
|
||||
let assistantText = "";
|
||||
let toolCalls: { name: string; args: unknown }[] = [];
|
||||
let toolResults: { name: string; result: string }[] = [];
|
||||
let startedAt = Date.now();
|
||||
const flushed: RecordedTurn[] = [];
|
||||
const maxToolCalls = options.maxToolCallsPerExchange ?? 6;
|
||||
const maxIdenticalCalls = options.maxIdenticalToolCalls ?? 2;
|
||||
let toolCallsThisExchange = 0;
|
||||
let callSignatures = new Map<string, number>();
|
||||
let abortReason = "";
|
||||
let guardTripped = false;
|
||||
let enforcedToolUse = false;
|
||||
let enforcedPreviousAnswer = "";
|
||||
// The enforcement nudge is sent as a user message; keep the *original* question as the
|
||||
// recorded one so a turn still reads as the human's request.
|
||||
let userMessageLocked = false;
|
||||
|
||||
// Loop guard, assigned after construction so the hook can hard-abort the run. Without
|
||||
// it a 4B model that hits a failing tool retries forever: one observed exchange issued
|
||||
// 81 tool calls over 421 seconds and ended with the context degraded into role-marker
|
||||
// echoes. `terminate` alone was not enough — it only stops the loop when *every* result
|
||||
// in a batch sets it, and the model simply opened another batch.
|
||||
agent.beforeToolCall = async ({ toolCall, args }: { toolCall: { name: string }; args: unknown }) => {
|
||||
toolCallsThisExchange += 1;
|
||||
const signature = `${toolCall.name}:${JSON.stringify(args ?? {})}`;
|
||||
const repeats = (callSignatures.get(signature) ?? 0) + 1;
|
||||
callSignatures.set(signature, repeats);
|
||||
const overBudget = toolCallsThisExchange > maxToolCalls;
|
||||
const repeating = repeats > maxIdenticalCalls;
|
||||
if (!overBudget && !repeating) {
|
||||
return undefined;
|
||||
}
|
||||
abortReason = overBudget
|
||||
? `tool budget exhausted after ${maxToolCalls} calls`
|
||||
: `identical call ${toolCall.name} repeated ${maxIdenticalCalls + 1} times`;
|
||||
// Abort now rather than on the next tick. Measured in production: a silently-failing
|
||||
// command made the model emit the same call in batch after batch, and the deferred abort
|
||||
// let ten more round-trips through, ending the turn as role-marker echoes that then
|
||||
// poisoned every following turn. Stopping at the first trip costs the model one tool
|
||||
// result it never reads, and buys a turn that stays usable.
|
||||
guardTripped = true;
|
||||
agent.abort();
|
||||
return {
|
||||
block: true,
|
||||
reason: overBudget
|
||||
? `tool budget for this message is exhausted (${maxToolCalls} calls); answer with what you have or state that you do not know`
|
||||
: `you already ran ${toolCall.name} with these exact arguments ${maxIdenticalCalls} times and the result did not change. Running it again cannot help: change the arguments, use a different tool, or answer with what you have`,
|
||||
terminate: true,
|
||||
};
|
||||
};
|
||||
|
||||
const unsubscribe = agent.subscribe(async (event: AgentEventLike) => {
|
||||
options.onEvent?.(event);
|
||||
switch (event.type) {
|
||||
case "message_start": {
|
||||
const role = event.message?.role;
|
||||
if (role === "user" && !userMessageLocked) {
|
||||
userMessage = contentToString(event.message?.content) || userMessage;
|
||||
}
|
||||
break;
|
||||
}
|
||||
case "message_update": {
|
||||
const delta = event.assistantMessageEvent?.delta;
|
||||
if (event.assistantMessageEvent?.type === "text_delta" && delta) {
|
||||
assistantText += delta;
|
||||
}
|
||||
break;
|
||||
}
|
||||
case "message_end": {
|
||||
if (event.message?.role === "assistant") {
|
||||
const finalText = contentToString(event.message?.content);
|
||||
if (finalText.trim()) assistantText = finalText;
|
||||
}
|
||||
break;
|
||||
}
|
||||
case "tool_execution_start": {
|
||||
if (event.toolName) toolCalls.push({ name: event.toolName, args: event.args });
|
||||
break;
|
||||
}
|
||||
case "tool_execution_end": {
|
||||
if (event.toolName) {
|
||||
toolResults.push({ name: event.toolName, result: JSON.stringify(event.result ?? {}).slice(0, 4000) });
|
||||
}
|
||||
break;
|
||||
}
|
||||
default:
|
||||
break;
|
||||
}
|
||||
});
|
||||
|
||||
async function ask(text: string): Promise<RecordedTurn[]> {
|
||||
userMessage = text;
|
||||
userMessageLocked = false;
|
||||
assistantText = "";
|
||||
toolCalls = [];
|
||||
toolResults = [];
|
||||
startedAt = Date.now();
|
||||
flushed.length = 0;
|
||||
toolCallsThisExchange = 0;
|
||||
callSignatures = new Map<string, number>();
|
||||
abortReason = "";
|
||||
guardTripped = false;
|
||||
enforcedToolUse = false;
|
||||
enforcedPreviousAnswer = "";
|
||||
|
||||
// Two prompts at most per exchange. The second one exists only to make a number have a
|
||||
// source; without the cap, a model that will not call the tool would be re-asked forever.
|
||||
for (let attempt = 0; attempt < 2; attempt += 1) {
|
||||
try {
|
||||
await agent.prompt(attempt === 0 ? text : ENFORCE_TOOL_USE_NUDGE);
|
||||
} catch (error) {
|
||||
// A guard-triggered abort settles the prompt as an error; that is a bounded outcome,
|
||||
// not a harness failure, so the exchange is still recorded.
|
||||
abortReason = abortReason || `prompt ended early: ${String(error).slice(0, 200)}`;
|
||||
}
|
||||
if (abortReason) break;
|
||||
if (!isUnverifiedQuantity(text, assistantText, toolCalls.length)) break;
|
||||
// The answer asserts a quantity and no tool was consulted, so the number has no source.
|
||||
// Measured twice: "100 GB" for free space (truth 34.62) and "0 files" for a directory
|
||||
// (truth 46). Flagging it was not enough -- the model keeps producing it -- so give it
|
||||
// one forced retry with the tool budget restored, and keep the bad answer on the record.
|
||||
enforcedToolUse = true;
|
||||
enforcedPreviousAnswer = assistantText.trim();
|
||||
assistantText = "";
|
||||
toolCalls = [];
|
||||
toolResults = [];
|
||||
toolCallsThisExchange = 0;
|
||||
callSignatures = new Map<string, number>();
|
||||
}
|
||||
|
||||
// Session hygiene. A guard-stopped turn leaves a mangled assistant message behind --
|
||||
// measured: role-marker echoes ("assistant\n\nassistant...") plus a replay of an earlier
|
||||
// user message. Pi keeps that in the conversation, so the *next* turn starts from
|
||||
// corrupted context and fails for unrelated reasons (the follow-up task re-issued the
|
||||
// previous turn's failing command five more times and took 99 seconds). Replacing the
|
||||
// bad tail with a short factual note keeps one bad command from ending the session.
|
||||
if (guardTripped) {
|
||||
const messages = agent.state.messages;
|
||||
let lastUser = -1;
|
||||
for (let index = messages.length - 1; index >= 0; index -= 1) {
|
||||
if ((messages[index] as { role?: string }).role === "user") {
|
||||
lastUser = index;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (lastUser >= 0) {
|
||||
agent.state.messages = [
|
||||
...messages.slice(0, lastUser + 1),
|
||||
{
|
||||
role: "assistant",
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text:
|
||||
`(this turn was stopped: ${abortReason}. Do not repeat the same call — ` +
|
||||
"change the arguments, use another tool, or say plainly that you could not get the value.)",
|
||||
},
|
||||
],
|
||||
} as never,
|
||||
];
|
||||
}
|
||||
}
|
||||
|
||||
const recorded = await recorder.record({
|
||||
session: options.session,
|
||||
turn: recorder.turns.length,
|
||||
userMessage,
|
||||
assistantText: assistantText.trim(),
|
||||
toolCalls,
|
||||
toolResults,
|
||||
wallSeconds: Number(((Date.now() - startedAt) / 1000).toFixed(3)),
|
||||
abortReason: abortReason || undefined,
|
||||
unverifiedQuantity: isUnverifiedQuantity(userMessage, assistantText, toolCalls.length),
|
||||
enforcedToolUse,
|
||||
enforcedPreviousAnswer: enforcedPreviousAnswer || undefined,
|
||||
});
|
||||
flushed.push(recorded);
|
||||
return flushed;
|
||||
}
|
||||
|
||||
return { agent, memory, nm2, recorder, ask, close: () => unsubscribe() };
|
||||
}
|
||||
@@ -0,0 +1,215 @@
|
||||
/**
|
||||
* Client for the model server's memory surface, plus the per-turn recorder.
|
||||
*
|
||||
* The completion body carries a `memory_diagnostics` block, but an OpenAI SDK will
|
||||
* drop unknown response fields, so the harness does not depend on it: after every
|
||||
* agent turn the recorder polls `/v1/diagnostics` on the server and correlates the
|
||||
* newest entry with the turn. That keeps instrumentation working no matter what the
|
||||
* transport layer decides to preserve.
|
||||
*/
|
||||
|
||||
export type MemoryMode = "on" | "read_only" | "off";
|
||||
|
||||
export interface MemoryStats {
|
||||
enabled?: boolean;
|
||||
router_ready?: boolean;
|
||||
records?: number;
|
||||
active_records?: number;
|
||||
superseded_records?: number;
|
||||
retracted_records?: number;
|
||||
quarantined_records?: number;
|
||||
pages?: number;
|
||||
active_conflict_keys?: number;
|
||||
last_coarse_candidates?: number;
|
||||
gpu_cache_records?: number;
|
||||
[key: string]: unknown;
|
||||
}
|
||||
|
||||
export interface TurnDiagnostics {
|
||||
turn: number;
|
||||
memory_mode: MemoryMode;
|
||||
memory_changed: boolean;
|
||||
reset_triggered: boolean;
|
||||
tool_calls: string[];
|
||||
prompt_tokens: number;
|
||||
completion_tokens: number;
|
||||
generation_seconds: number;
|
||||
total_seconds: number;
|
||||
memory: MemoryStats;
|
||||
// The server hoists these onto the trace entry as well; they are what makes a turn
|
||||
// legible ("did the router want memory, what did it retrieve, how much did it inject"),
|
||||
// so the interactive TUI reads them. Optional because older traces omit them.
|
||||
router_decisions?: RouterDecisionLike[];
|
||||
prefix_tokens?: number;
|
||||
prefix_used?: boolean;
|
||||
no_evidence?: boolean;
|
||||
read_seconds?: number;
|
||||
auto_memory_probability?: number[] | null;
|
||||
auto_forget_probability?: number[] | null;
|
||||
coverage?: { loaded?: boolean; bound_to_bank?: boolean; head?: { attributes?: number } } | null;
|
||||
}
|
||||
|
||||
export interface RouterDecisionLike {
|
||||
need_memory?: boolean;
|
||||
stop_reason?: string;
|
||||
page_ids?: string[];
|
||||
record_ids?: string[];
|
||||
hop_count?: number;
|
||||
confidence?: number;
|
||||
top_score?: number;
|
||||
score_margin?: number;
|
||||
}
|
||||
|
||||
export interface MemoryRecord {
|
||||
record_id: string;
|
||||
text?: string;
|
||||
entity?: string;
|
||||
attribute?: string;
|
||||
value?: string;
|
||||
status?: string;
|
||||
version?: number;
|
||||
confidence?: number;
|
||||
importance?: number;
|
||||
access_count?: number;
|
||||
[key: string]: unknown;
|
||||
}
|
||||
|
||||
async function request<T>(baseUrl: string, path: string, init?: RequestInit): Promise<T> {
|
||||
const response = await fetch(`${baseUrl}${path}`, {
|
||||
...init,
|
||||
headers: { "Content-Type": "application/json", ...(init?.headers ?? {}) },
|
||||
});
|
||||
const text = await response.text();
|
||||
if (!response.ok) {
|
||||
throw new Error(`memory server ${path} -> HTTP ${response.status}: ${text.slice(0, 400)}`);
|
||||
}
|
||||
return (text ? JSON.parse(text) : {}) as T;
|
||||
}
|
||||
|
||||
export class MemoryClient {
|
||||
constructor(readonly baseUrl: string) {}
|
||||
|
||||
health() {
|
||||
return request<Record<string, unknown>>(this.baseUrl.replace(/\/v1$/, ""), "/health");
|
||||
}
|
||||
|
||||
diagnostics(limit = 200) {
|
||||
return request<{ turns: TurnDiagnostics[] }>(this.baseUrl, `/diagnostics?limit=${limit}`);
|
||||
}
|
||||
|
||||
list(query = "", status = "active", limit = 200, offset = 0) {
|
||||
const params = new URLSearchParams({ query, status, limit: String(limit), offset: String(offset) });
|
||||
return request<{ records: MemoryRecord[]; returned: number }>(this.baseUrl, `/memory?${params}`);
|
||||
}
|
||||
|
||||
audit() {
|
||||
return request<Record<string, unknown>>(this.baseUrl, "/memory/audit");
|
||||
}
|
||||
|
||||
exportAll(limit = 10000) {
|
||||
return request<Record<string, unknown>>(this.baseUrl, `/memory/export?limit=${limit}`);
|
||||
}
|
||||
|
||||
setMode(mode: MemoryMode) {
|
||||
return request<{ memory_mode: MemoryMode }>(this.baseUrl, "/memory/mode", {
|
||||
method: "POST",
|
||||
body: JSON.stringify({ mode }),
|
||||
});
|
||||
}
|
||||
|
||||
reset() {
|
||||
return request<Record<string, unknown>>(this.baseUrl, "/memory/reset", { method: "POST", body: "{}" });
|
||||
}
|
||||
|
||||
write(payload: Record<string, unknown>) {
|
||||
return request<Record<string, unknown>>(this.baseUrl, "/memory", {
|
||||
method: "POST",
|
||||
body: JSON.stringify(payload),
|
||||
});
|
||||
}
|
||||
|
||||
retract(recordId: string) {
|
||||
return request<Record<string, unknown>>(this.baseUrl, `/memory/${recordId}/retract`, {
|
||||
method: "POST",
|
||||
body: "{}",
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
export interface RecordedTurn {
|
||||
session: string;
|
||||
turn: number;
|
||||
userMessage: string;
|
||||
assistantText: string;
|
||||
toolCalls: { name: string; args: unknown }[];
|
||||
toolResults: { name: string; result: string }[];
|
||||
diagnostics: TurnDiagnostics | null;
|
||||
memoryAfter: MemoryStats | null;
|
||||
wallSeconds: number;
|
||||
/** Set when the loop guard cut the exchange short (budget or repeated tool call). */
|
||||
abortReason?: string;
|
||||
/**
|
||||
* The question asked for an amount and the answer gave a number, but the exchange called
|
||||
* no tool at all -- so the number cannot have come from anywhere. Measured twice: asked
|
||||
* for free disk space the model answered "100 GB" (truth 34 GB), and asked to count a
|
||||
* directory's files it answered "0" (truth 46) without calling a single tool.
|
||||
*/
|
||||
unverifiedQuantity?: boolean;
|
||||
/** The exchange was re-asked because its first answer stated a number with no tool behind it. */
|
||||
enforcedToolUse?: boolean;
|
||||
/** The uncorroborated first answer that enforcement replaced, kept for the record. */
|
||||
enforcedPreviousAnswer?: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* Records one line per agent turn, and answers the questions a memory scenario asks:
|
||||
* did it write, what is active now, was a record superseded or retracted, and how
|
||||
* much of the work is attributable to memory rather than the base model.
|
||||
*/
|
||||
export class MemoryRecorder {
|
||||
readonly turns: RecordedTurn[] = [];
|
||||
|
||||
constructor(private readonly client: MemoryClient, readonly session: string) {}
|
||||
|
||||
async snapshot(): Promise<MemoryStats> {
|
||||
const health = await this.client.health();
|
||||
return (health.memory ?? {}) as MemoryStats;
|
||||
}
|
||||
|
||||
async latestDiagnostics(): Promise<TurnDiagnostics | null> {
|
||||
try {
|
||||
const { turns } = await this.client.diagnostics(1);
|
||||
return turns.at(-1) ?? null;
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
async record(turn: Omit<RecordedTurn, "diagnostics" | "memoryAfter">): Promise<RecordedTurn> {
|
||||
const diagnostics = await this.latestDiagnostics();
|
||||
let memoryAfter: MemoryStats | null = null;
|
||||
try {
|
||||
memoryAfter = await this.snapshot();
|
||||
} catch {
|
||||
memoryAfter = diagnostics?.memory ?? null;
|
||||
}
|
||||
const full: RecordedTurn = { ...turn, diagnostics, memoryAfter };
|
||||
this.turns.push(full);
|
||||
return full;
|
||||
}
|
||||
|
||||
/** Active records matching a text fragment (default: every active record). */
|
||||
async activeRecords(fragment = ""): Promise<MemoryRecord[]> {
|
||||
const { records } = await this.client.list(fragment, "active", 500);
|
||||
return records;
|
||||
}
|
||||
|
||||
async recordsByStatus(status: string, fragment = ""): Promise<MemoryRecord[]> {
|
||||
const { records } = await this.client.list(fragment, status, 500);
|
||||
return records;
|
||||
}
|
||||
|
||||
toJSONL(): string {
|
||||
return this.turns.map((turn) => JSON.stringify(turn)).join("\n") + "\n";
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,215 @@
|
||||
/**
|
||||
* NM2 client: the full observation + control surface of the memory architecture.
|
||||
*
|
||||
* The model already records everything an operator needs (`runtime.v2_last_decisions`,
|
||||
* the policy head's write/forget probabilities, injected prefix length, routing-only
|
||||
* latency, KV-compaction reports); the server snapshots it after every call and keeps
|
||||
* a per-turn trace history. This client makes that surface usable from the agent and
|
||||
* from the scenario harness.
|
||||
*
|
||||
* Endpoints are grouped by intent so the tool layer can expose few, well-described
|
||||
* tools to a 4B model instead of twenty narrow ones.
|
||||
*/
|
||||
|
||||
export interface RouterDecision {
|
||||
need_memory: boolean;
|
||||
page_ids: string[];
|
||||
record_ids: string[];
|
||||
page_scores: number[];
|
||||
record_scores: number[];
|
||||
hop_count: number;
|
||||
hop_trace: string[][];
|
||||
confidence: number;
|
||||
stop_reason: string;
|
||||
top_score?: number;
|
||||
score_margin?: number;
|
||||
evidence_score?: number;
|
||||
}
|
||||
|
||||
export interface RetrievedRecord {
|
||||
record_id: string;
|
||||
text: string | null;
|
||||
entity: string | null;
|
||||
attribute: string | null;
|
||||
value: string | null;
|
||||
status: string | null;
|
||||
version: number | null;
|
||||
score: number | null;
|
||||
}
|
||||
|
||||
/**
|
||||
* NM2.1 coverage gate verdict for one query: which attribute the question asked about
|
||||
* and how confident the head was. `gate: "bypassed"` means the bank's attributes lie
|
||||
* outside the head's vocabulary, so the gate declines to judge.
|
||||
*/
|
||||
export interface CoverageVerdict {
|
||||
attribute: string | null;
|
||||
probability: number | null;
|
||||
gate?: string;
|
||||
error?: string;
|
||||
}
|
||||
|
||||
export interface ProbeResult {
|
||||
query: string;
|
||||
need_memory: boolean;
|
||||
stop_reason: string;
|
||||
confidence: number;
|
||||
hop_count: number;
|
||||
hop_trace: string[][];
|
||||
score_margin: number;
|
||||
evidence_score: number;
|
||||
page_ids: string[];
|
||||
records: RetrievedRecord[];
|
||||
coverage: CoverageVerdict | null;
|
||||
timing: { encode_seconds: number; route_seconds: number; total_seconds: number };
|
||||
trace_turn: number;
|
||||
}
|
||||
|
||||
export interface TraceRecord {
|
||||
turn: number;
|
||||
kind: "chat" | "probe";
|
||||
at: number;
|
||||
user_message?: string;
|
||||
memory_changed?: boolean;
|
||||
router_decisions?: RouterDecision[];
|
||||
prefix_tokens?: number;
|
||||
read_seconds?: number;
|
||||
auto_memory_probability?: number[] | null;
|
||||
auto_forget_probability?: number[] | null;
|
||||
context_compaction?: Record<string, unknown> | null;
|
||||
snapshot?: Record<string, unknown>;
|
||||
[key: string]: unknown;
|
||||
}
|
||||
|
||||
export interface ConfigSnapshot {
|
||||
knobs: Record<string, number | boolean | null>;
|
||||
fixed: Record<string, unknown>;
|
||||
memory_mode: string;
|
||||
}
|
||||
|
||||
export interface MemoryRecordView {
|
||||
record_id: string;
|
||||
text?: string;
|
||||
entity?: string;
|
||||
attribute?: string;
|
||||
value?: string;
|
||||
status?: string;
|
||||
version?: number;
|
||||
confidence?: number;
|
||||
importance?: number;
|
||||
[key: string]: unknown;
|
||||
}
|
||||
|
||||
async function call<T>(baseUrl: string, path: string, init?: RequestInit): Promise<T> {
|
||||
const response = await fetch(`${baseUrl}${path}`, {
|
||||
...init,
|
||||
headers: { "Content-Type": "application/json", ...(init?.headers ?? {}) },
|
||||
});
|
||||
const text = await response.text();
|
||||
if (!response.ok) {
|
||||
let detail = text.slice(0, 400);
|
||||
try {
|
||||
detail = (JSON.parse(text) as { error?: { message?: string } }).error?.message ?? detail;
|
||||
} catch {
|
||||
/* keep raw text */
|
||||
}
|
||||
throw new Error(`NM2 ${path} -> HTTP ${response.status}: ${detail}`);
|
||||
}
|
||||
return (text ? JSON.parse(text) : {}) as T;
|
||||
}
|
||||
|
||||
export class NM2Client {
|
||||
constructor(readonly baseUrl: string) {}
|
||||
|
||||
// ---- observation -------------------------------------------------------
|
||||
state() {
|
||||
return call<{ config: ConfigSnapshot; snapshot: Record<string, unknown> }>(this.baseUrl, "/nm2/state");
|
||||
}
|
||||
|
||||
config() {
|
||||
return call<ConfigSnapshot>(this.baseUrl, "/nm2/config");
|
||||
}
|
||||
|
||||
traces(limit = 50) {
|
||||
return call<{ traces: TraceRecord[] }>(this.baseUrl, `/nm2/trace?limit=${limit}`);
|
||||
}
|
||||
|
||||
audit() {
|
||||
return call<Record<string, unknown>>(this.baseUrl, "/nm2/audit");
|
||||
}
|
||||
|
||||
stats() {
|
||||
return call<Record<string, unknown>>(this.baseUrl.replace(/\/v1$/, ""), "/health");
|
||||
}
|
||||
|
||||
// ---- routing as a first-class operation --------------------------------
|
||||
/** Route only: returns the bounded page/record Top-K decision, without generating. */
|
||||
probe(query: string, options: { top_k_pages?: number; top_k_records?: number; max_hops?: number } = {}) {
|
||||
return call<ProbeResult>(this.baseUrl, "/nm2/probe", {
|
||||
method: "POST",
|
||||
body: JSON.stringify({ query, ...options }),
|
||||
});
|
||||
}
|
||||
|
||||
records(query = "", status = "active", limit = 200) {
|
||||
const params = new URLSearchParams({ query, status, limit: String(limit) });
|
||||
return call<{ records: MemoryRecordView[]; returned: number }>(this.baseUrl, `/nm2/records?${params}`);
|
||||
}
|
||||
|
||||
// ---- governance --------------------------------------------------------
|
||||
write(payload: { text: string; entity?: string; attribute?: string; value?: string; importance?: number; confidence?: number; source?: string; trusted?: boolean; force?: boolean }) {
|
||||
return call<Record<string, unknown>>(this.baseUrl, "/nm2/write", { method: "POST", body: JSON.stringify(payload) });
|
||||
}
|
||||
|
||||
correct(payload: { record_id: string; text?: string; entity?: string; attribute?: string; value?: string; importance?: number; confidence?: number; evidence?: string[] }) {
|
||||
return call<Record<string, unknown>>(this.baseUrl, "/nm2/correct", { method: "POST", body: JSON.stringify(payload) });
|
||||
}
|
||||
|
||||
retract(recordId: string) {
|
||||
return call<Record<string, unknown>>(this.baseUrl, "/nm2/retract", { method: "POST", body: JSON.stringify({ record_id: recordId }) });
|
||||
}
|
||||
|
||||
approve(recordId: string) {
|
||||
return call<Record<string, unknown>>(this.baseUrl, "/nm2/approve", { method: "POST", body: JSON.stringify({ record_id: recordId }) });
|
||||
}
|
||||
|
||||
setConfig(knobs: Record<string, number | boolean>) {
|
||||
return call<{ applied: Record<string, unknown>; rejected: Record<string, string>; config: ConfigSnapshot }>(
|
||||
this.baseUrl,
|
||||
"/nm2/config",
|
||||
{ method: "POST", body: JSON.stringify({ knobs }) },
|
||||
);
|
||||
}
|
||||
|
||||
compact(text: string, chunkTokens?: number) {
|
||||
return call<Record<string, unknown>>(this.baseUrl, "/nm2/compact", {
|
||||
method: "POST",
|
||||
body: JSON.stringify({ text, chunk_tokens: chunkTokens }),
|
||||
});
|
||||
}
|
||||
|
||||
session(action: "save" | "load" | "list" | "delete" | "reset", user?: string) {
|
||||
return call<Record<string, unknown>>(this.baseUrl, "/nm2/session", {
|
||||
method: "POST",
|
||||
body: JSON.stringify({ action, user }),
|
||||
});
|
||||
}
|
||||
|
||||
setMode(mode: "on" | "read_only" | "off") {
|
||||
return call<{ memory_mode: string }>(this.baseUrl, "/nm2/mode", { method: "POST", body: JSON.stringify({ mode }) });
|
||||
}
|
||||
|
||||
reset() {
|
||||
return call<Record<string, unknown>>(this.baseUrl, "/nm2/reset", { method: "POST", body: "{}" });
|
||||
}
|
||||
}
|
||||
|
||||
/** Compact one-line rendering of a decision, for tool results and traces. */
|
||||
export function describeDecision(decision: RouterDecision | undefined): string {
|
||||
if (!decision) return "(no router decision recorded)";
|
||||
const margin = typeof decision.score_margin === "number" ? decision.score_margin.toFixed(3) : "-";
|
||||
return (
|
||||
`need=${decision.need_memory} hop=${decision.hop_count} stop=${decision.stop_reason} ` +
|
||||
`confidence=${decision.confidence.toFixed(3)} margin=${margin} records=[${decision.record_ids.join(", ")}]`
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,61 @@
|
||||
/**
|
||||
* The system prompt shared by the scenario suite and the interactive TUI.
|
||||
*
|
||||
* It lives in its own module so both entry points use the *same* text: the suite's
|
||||
* measured numbers only describe the TUI's behaviour if the agent is configured
|
||||
* identically, and duplicating the string would let the two drift apart silently.
|
||||
*/
|
||||
|
||||
// The agent has to be told that this model carries its own memory layer. Without
|
||||
// this, a small model asked to recall a stored fact reaches for the shell (`find`,
|
||||
// `grep`) instead of reading the evidence the NM2 router already retrieved, and then
|
||||
// answers from whatever it finds on disk. The rules below are the minimum needed to
|
||||
// make the memory layer the first thing the agent consults, and they are identical
|
||||
// for both arms so the A/B comparison stays honest: in the OFF arm the same calls
|
||||
// simply return nothing.
|
||||
export const DEFAULT_SYSTEM_PROMPT = [
|
||||
// Identity first. Measured: with no identity the checkpoint answers "who are you" as the
|
||||
// base model ("I am Qwen3.5 by Alibaba, with cross-modal abilities ...") -- a list of
|
||||
// capabilities this 4B checkpoint does not have.
|
||||
"You are a local test agent running on a Qwen3.5-4B checkpoint that carries its own",
|
||||
"long-term memory layer (NM2). If the user asks who you are, say that plainly. You are not",
|
||||
"a cloud service, and you must not claim abilities you do not have.",
|
||||
"Answer the user directly and concisely.",
|
||||
"Facts told to you in earlier turns or earlier sessions are stored in NM2, not in the workspace.",
|
||||
"The memory layer may inject an evidence block beginning with 【长期记忆证据】 into your prompt.",
|
||||
"When it is present it is authoritative: answer from it directly instead of searching.",
|
||||
"To answer any question about such a fact, call nm2_read with action=probe first; use",
|
||||
"action=search to list records. Do this before reaching for shell or file tools.",
|
||||
"Work on the workspace with run_shell/read_file/write_file. Do NOT use find or grep to look for",
|
||||
"facts about the user: the workspace does not contain them, and searching it wastes the turn.",
|
||||
// Measured: composing PowerShell from scratch is where a 4B model fails most often
|
||||
// (`-eq 'C:'` against a character, `Measure-Object -Width 0`), and a silently empty result
|
||||
// then sends it into a retry loop. The narrow tools take a path, so say so explicitly.
|
||||
"For disk space use disk_space, and for file counts or directory listings use list_files —",
|
||||
"pass the path and let the tool build the query. Do not hand-write a command for those.",
|
||||
// Measured: given a listing, a 4B model invented a filename instead of copying one from the
|
||||
// result it had just received. A task that needs both a count and "the first file's
|
||||
// contents" has a tool that does it in one call, so say so.
|
||||
"When you need both a count and the contents of 'the first' or 'any one' of the matches, use",
|
||||
"peek_files — one call returns the count, the first file's full path and its opening lines.",
|
||||
"If a shell command fails or prints nothing, do not run it again: change the command, use a",
|
||||
"narrow tool, or say plainly that you could not get the value. Never guess a number you did",
|
||||
"not receive from a tool.",
|
||||
"Never invent a value. If memory holds no evidence for a stored fact, say plainly that you do not",
|
||||
"have it or that it is no longer retained.",
|
||||
// Measured: without an explicit convention the model wrote the *value* into the entity
|
||||
// field -- "我叫Wpy" became entity="Wpy" attribute="name", i.e. the record read
|
||||
// "Wpy 的 name 是 Wpy" and the fact was effectively lost. A concrete example is what fixes
|
||||
// this for a 4B model; abstract field descriptions did not.
|
||||
"When the user tells you a fact about themselves, store it with entity=\"user\", a short",
|
||||
"Chinese attribute name, and the value. For example, if the user says 我叫Wpy, call",
|
||||
"nm2_write{action:\"write\",entity:\"user\",attribute:\"名字\",value:\"Wpy\"}. Never put the value",
|
||||
"in the entity field, and never build an entity name out of the value.",
|
||||
"When the user revises or revokes a fact, use nm2_write with action=correct or action=retract.",
|
||||
"Do not repeat or volunteer a fact the user has asked you to forget.",
|
||||
// Measured: spelling out a "search -> retract each match -> search again to verify"
|
||||
// protocol here made a 4B model fixate on the first step (13 nm2_read calls, budget
|
||||
// abort) and never reach retract at all -- 1/2 -> 0/2 on that scenario. The real gap
|
||||
// is in the memory layer: retraction is key-scoped, so a sibling record written from
|
||||
// the same sentence stays active and can be volunteered later.
|
||||
].join(" ");
|
||||
@@ -0,0 +1,63 @@
|
||||
/**
|
||||
* Registers the local Natural Memory model as a Pi provider.
|
||||
*
|
||||
* `pi-ai` already speaks `openai-completions` with a configurable `baseUrl`, so the
|
||||
* model needs no Pi-side code changes: the model server (`model_server/server.py`)
|
||||
* exposes `/v1/chat/completions` with native `<tool_call>` handling, and Pi treats it
|
||||
* like any other OpenAI-compatible endpoint.
|
||||
*
|
||||
* The provider is keyless in practice, but Pi's `Provider` contract requires api-key
|
||||
* auth semantics even for local servers, so we reuse the standard env-helper and the
|
||||
* runner exports a dummy value (`NATURAL_MEMORY_API_KEY=local`). No real secret.
|
||||
*/
|
||||
|
||||
import { createProvider, createModels, envApiKeyAuth } from "@earendil-works/pi-ai";
|
||||
import { openAICompletionsApi } from "@earendil-works/pi-ai/api/openai-completions.lazy";
|
||||
|
||||
export const NATURAL_MEMORY_PROVIDER = "natural-memory";
|
||||
export const NATURAL_MEMORY_MODEL = "natural-memory-v2";
|
||||
|
||||
export const DEFAULT_BASE_URL = process.env.NATURAL_MEMORY_BASE_URL ?? "http://127.0.0.1:8766/v1";
|
||||
|
||||
export function naturalMemoryProvider(baseUrl: string = DEFAULT_BASE_URL) {
|
||||
return createProvider({
|
||||
id: NATURAL_MEMORY_PROVIDER,
|
||||
name: "Natural Memory v2 (local, in-model memory)",
|
||||
baseUrl,
|
||||
auth: {
|
||||
apiKey: envApiKeyAuth("Natural Memory local model server", ["NATURAL_MEMORY_API_KEY"]),
|
||||
},
|
||||
models: [
|
||||
{
|
||||
id: NATURAL_MEMORY_MODEL,
|
||||
name: "Natural Memory v2 (Qwen3.5-4B + in-model memory)",
|
||||
api: "openai-completions",
|
||||
provider: NATURAL_MEMORY_PROVIDER,
|
||||
baseUrl,
|
||||
reasoning: false,
|
||||
input: ["text"],
|
||||
// Local model: cost is measured in latency/VRAM, not dollars.
|
||||
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
|
||||
contextWindow: 32768,
|
||||
maxTokens: 1024,
|
||||
// The server implements the plain completions surface only.
|
||||
compat: { supportsStore: false, supportsDeveloperRole: false },
|
||||
},
|
||||
],
|
||||
api: openAICompletionsApi(),
|
||||
});
|
||||
}
|
||||
|
||||
/** Provider registry plus the concrete model handle the agent needs. */
|
||||
export function createNaturalMemoryModels(baseUrl: string = DEFAULT_BASE_URL) {
|
||||
const models = createModels();
|
||||
models.setProvider(naturalMemoryProvider(baseUrl));
|
||||
const model = models.getModel(NATURAL_MEMORY_PROVIDER, NATURAL_MEMORY_MODEL);
|
||||
if (!model) {
|
||||
throw new Error(
|
||||
`model ${NATURAL_MEMORY_PROVIDER}/${NATURAL_MEMORY_MODEL} is not registered; ` +
|
||||
`check that the local server answers ${baseUrl}/models`,
|
||||
);
|
||||
}
|
||||
return { models, model };
|
||||
}
|
||||
@@ -0,0 +1,217 @@
|
||||
/**
|
||||
* Scenario runner: drives the test agent through multi-session scenarios and scores
|
||||
* the result for both arms of the experiment.
|
||||
*
|
||||
* The comparison that matters is `--arm both`: identical scenarios, identical tools
|
||||
* (including the file-backed scratchpad), identical model — only the model's own
|
||||
* memory layer is switched on or off on the server. Without that control arm a
|
||||
* memory result cannot be attributed to memory rather than to the 4B base model.
|
||||
*
|
||||
* Usage::
|
||||
*
|
||||
* bun run src/run_scenario.ts --scenario scenarios/cross_session_recall.json --arm both
|
||||
* bun run src/run_scenario.ts --scenario-all scenarios --arm both --out runs/latest
|
||||
*/
|
||||
|
||||
import { mkdir, readFile, readdir, rm, writeFile } from "node:fs/promises";
|
||||
import { dirname, join, resolve } from "node:path";
|
||||
import { fileURLToPath } from "node:url";
|
||||
import { createNaturalMemoryModels, DEFAULT_BASE_URL } from "./provider.ts";
|
||||
import { createTestAgent } from "./agent.ts";
|
||||
import { MemoryClient, type MemoryMode, type RecordedTurn } from "./memory.ts";
|
||||
import { NM2Client } from "./nm2.ts";
|
||||
|
||||
const HERE = dirname(fileURLToPath(import.meta.url));
|
||||
const AGENT_DIR = resolve(HERE, "..");
|
||||
|
||||
interface ScenarioSession {
|
||||
id: string;
|
||||
turns: string[];
|
||||
}
|
||||
|
||||
interface Assertion {
|
||||
type: "answer_contains" | "answer_not_contains" | "active_record_contains" | "no_active_record_contains" | "memory_changed";
|
||||
session?: string;
|
||||
turn?: number;
|
||||
any?: string[];
|
||||
}
|
||||
|
||||
interface Scenario {
|
||||
id: string;
|
||||
description?: string;
|
||||
system_prompt?: string;
|
||||
memory_write_turns?: number[];
|
||||
sessions: ScenarioSession[];
|
||||
assertions?: Assertion[];
|
||||
}
|
||||
|
||||
import { DEFAULT_SYSTEM_PROMPT } from "./prompt.ts";
|
||||
|
||||
|
||||
|
||||
function parseArgs(argv: string[]) {
|
||||
const args: Record<string, string | boolean> = {};
|
||||
for (let index = 0; index < argv.length; index += 1) {
|
||||
const token = argv[index];
|
||||
if (!token.startsWith("--")) continue;
|
||||
const key = token.slice(2);
|
||||
const next = argv[index + 1];
|
||||
if (next && !next.startsWith("--")) {
|
||||
args[key] = next;
|
||||
index += 1;
|
||||
} else {
|
||||
args[key] = true;
|
||||
}
|
||||
}
|
||||
return args;
|
||||
}
|
||||
|
||||
function turnsFor(records: RecordedTurn[], sessionId: string): RecordedTurn[] {
|
||||
// Recorded sessions are namespaced (`<scenario>:<arm>:<session>`); a scenario refers
|
||||
// to them by their short id, so match on the suffix as well as exactly.
|
||||
return records.filter(
|
||||
(record) => record.session === sessionId || record.session.endsWith(`:${sessionId}`),
|
||||
);
|
||||
}
|
||||
|
||||
function evaluate(assertions: Assertion[], records: RecordedTurn[], activeTexts: string): { assertion: Assertion; pass: boolean; detail: string }[] {
|
||||
const lower = activeTexts.toLowerCase();
|
||||
return assertions.map((assertion) => {
|
||||
const sessionTurns = assertion.session ? turnsFor(records, assertion.session) : records;
|
||||
const target = assertion.turn !== undefined ? sessionTurns[assertion.turn] : undefined;
|
||||
const haystack = (target ? target.assistantText : sessionTurns.map((t) => t.assistantText).join("\n")).toLowerCase();
|
||||
const needles = (assertion.any ?? []).map((value) => value.toLowerCase());
|
||||
switch (assertion.type) {
|
||||
case "answer_contains": {
|
||||
const hit = needles.some((needle) => haystack.includes(needle));
|
||||
return { assertion, pass: hit, detail: hit ? "found" : `missing one of ${JSON.stringify(assertion.any)}` };
|
||||
}
|
||||
case "answer_not_contains": {
|
||||
const hit = needles.some((needle) => haystack.includes(needle));
|
||||
return { assertion, pass: !hit, detail: hit ? `leaked ${JSON.stringify(assertion.any)}` : "clean" };
|
||||
}
|
||||
case "active_record_contains": {
|
||||
const hit = needles.some((needle) => lower.includes(needle));
|
||||
return { assertion, pass: hit, detail: hit ? "present in active memory" : "absent from active memory" };
|
||||
}
|
||||
case "no_active_record_contains": {
|
||||
const hit = needles.some((needle) => lower.includes(needle));
|
||||
return { assertion, pass: !hit, detail: hit ? "still active" : "not active" };
|
||||
}
|
||||
case "memory_changed": {
|
||||
const changed = sessionTurns.some((turn) => turn.diagnostics?.memory_changed);
|
||||
return { assertion, pass: changed, detail: changed ? "a turn wrote to memory" : "no write observed" };
|
||||
}
|
||||
default:
|
||||
return { assertion, pass: false, detail: `unknown assertion ${assertion.type}` };
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
async function runOneArm(
|
||||
scenario: Scenario,
|
||||
arm: MemoryMode,
|
||||
options: { baseUrl: string; outDir: string; records: RecordedTurn[]; models: any; model: any },
|
||||
) {
|
||||
const memory = new MemoryClient(options.baseUrl);
|
||||
const nm2 = new NM2Client(options.baseUrl);
|
||||
await nm2.reset();
|
||||
await nm2.setMode(arm);
|
||||
|
||||
const armWorkspace = join(options.outDir, "workspace", arm);
|
||||
const notesPath = join(options.outDir, "scratchpad", `${arm}.txt`);
|
||||
await rm(armWorkspace, { recursive: true, force: true });
|
||||
await mkdir(armWorkspace, { recursive: true });
|
||||
await rm(notesPath, { force: true });
|
||||
|
||||
const systemPrompt = scenario.system_prompt ?? DEFAULT_SYSTEM_PROMPT;
|
||||
for (const session of scenario.sessions) {
|
||||
// A new agent per session is the point: fresh context, persistent model memory.
|
||||
const testAgent = await createTestAgent({
|
||||
models: options.models,
|
||||
model: options.model,
|
||||
session: `${scenario.id}:${arm}:${session.id}`,
|
||||
memoryBaseUrl: options.baseUrl,
|
||||
workspace: armWorkspace,
|
||||
notesPath,
|
||||
systemPrompt,
|
||||
memoryMode: arm,
|
||||
});
|
||||
for (const turn of session.turns) {
|
||||
const [record] = await testAgent.ask(turn);
|
||||
options.records.push(record);
|
||||
}
|
||||
testAgent.close();
|
||||
}
|
||||
|
||||
const active = await nm2.records("", "active", 500);
|
||||
const activeTexts = active.records
|
||||
.map((record) => `${record.entity ?? ""} ${record.attribute ?? ""} ${record.value ?? ""} ${record.text ?? ""}`)
|
||||
.join("\n");
|
||||
const results = evaluate(scenario.assertions ?? [], options.records, activeTexts);
|
||||
return { arm, activeRecords: active.records.length, results, records: options.records };
|
||||
}
|
||||
|
||||
async function main() {
|
||||
const args = parseArgs(process.argv.slice(2));
|
||||
const baseUrl = (args["base-url"] as string) ?? DEFAULT_BASE_URL;
|
||||
const outDir = resolve(AGENT_DIR, (args.out as string) ?? join("runs", new Date().toISOString().replace(/[:.]/g, "-")));
|
||||
const armArg = (args.arm as string) ?? "both";
|
||||
const arms: MemoryMode[] = armArg === "both" ? ["on", "off"] : [armArg as MemoryMode];
|
||||
|
||||
const scenarioDir = resolve(AGENT_DIR, "scenarios");
|
||||
const scenarioPaths: string[] = [];
|
||||
if (args["scenario-all"]) {
|
||||
const dir = resolve(AGENT_DIR, String(args["scenario-all"]));
|
||||
for (const entry of await readdir(dir)) {
|
||||
if (entry.endsWith(".json")) scenarioPaths.push(join(dir, entry));
|
||||
}
|
||||
} else if (args.scenario) {
|
||||
scenarioPaths.push(resolve(AGENT_DIR, String(args.scenario)));
|
||||
} else {
|
||||
scenarioPaths.push(join(scenarioDir, "cross_session_recall.json"));
|
||||
}
|
||||
|
||||
await mkdir(outDir, { recursive: true });
|
||||
const { models, model } = createNaturalMemoryModels(baseUrl);
|
||||
const summary: Record<string, unknown> = { baseUrl, outDir, arms, scenarios: [] };
|
||||
|
||||
for (const path of scenarioPaths) {
|
||||
const scenario = JSON.parse(await readFile(path, "utf-8")) as Scenario;
|
||||
const perArm: Record<string, unknown> = {};
|
||||
for (const arm of arms) {
|
||||
const records: RecordedTurn[] = [];
|
||||
const outcome = await runOneArm(scenario, arm, { baseUrl, outDir, records, models, model });
|
||||
await writeFile(join(outDir, `${scenario.id}.${arm}.jsonl`), records.map((r) => JSON.stringify(r)).join("\n") + "\n", "utf-8");
|
||||
const passed = outcome.results.filter((r) => r.pass).length;
|
||||
perArm[arm] = {
|
||||
activeRecords: outcome.activeRecords,
|
||||
assertionsPassed: passed,
|
||||
assertionsTotal: outcome.results.length,
|
||||
passRate: outcome.results.length ? passed / outcome.results.length : null,
|
||||
failures: outcome.results.filter((r) => !r.pass).map((r) => `${r.assertion.type}: ${r.detail}`),
|
||||
meanSecondsPerTurn:
|
||||
records.length > 0 ? Number((records.reduce((sum, r) => sum + r.wallSeconds, 0) / records.length).toFixed(2)) : null,
|
||||
};
|
||||
}
|
||||
(summary.scenarios as unknown[]).push({ id: scenario.id, description: scenario.description, arms: perArm });
|
||||
console.log(`\n${scenario.id}`);
|
||||
for (const arm of arms) {
|
||||
const block = perArm[arm] as Record<string, any>;
|
||||
console.log(
|
||||
` arm=${arm.padEnd(10)} assertions ${block.assertionsPassed}/${block.assertionsTotal} ` +
|
||||
`(${block.passRate === null ? "-" : (block.passRate * 100).toFixed(1) + "%"}) ` +
|
||||
`activeRecords=${block.activeRecords} s/turn=${block.meanSecondsPerTurn}`,
|
||||
);
|
||||
for (const failure of block.failures) console.log(` FAIL ${failure}`);
|
||||
}
|
||||
}
|
||||
|
||||
await writeFile(join(outDir, "summary.json"), JSON.stringify(summary, null, 2), "utf-8");
|
||||
console.log(`\nwrote ${join(outDir, "summary.json")}`);
|
||||
}
|
||||
|
||||
main().catch((error) => {
|
||||
console.error(error);
|
||||
process.exit(1);
|
||||
});
|
||||
@@ -0,0 +1,638 @@
|
||||
/**
|
||||
* Tools for the memory test agent.
|
||||
*
|
||||
* Two design points that matter for the experiment:
|
||||
*
|
||||
* 1. `notes` is deliberate. The control arm runs with the model's memory layer off,
|
||||
* and without any scratchpad a control run would be "no memory at all" rather
|
||||
* than "no *in-model* memory". Giving both arms the same file-backed scratchpad
|
||||
* isolates the thing under test.
|
||||
* 2. The NM2 tools expose the model's own memory as a first-class capability: route
|
||||
* probing, record governance, runtime knobs, KV compaction and per-user sessions.
|
||||
*
|
||||
* `tool()` exists because `pi-agent-core` types `execute`'s params as
|
||||
* `Static<TParameters>`, which degrades to `unknown` when the tool is annotated with
|
||||
* the bare `AgentTool` type. Passing the schema through a generic helper keeps the
|
||||
* parameter type inferred from the TypeBox schema (validated at runtime by Pi).
|
||||
*/
|
||||
|
||||
import { execFile } from "node:child_process";
|
||||
import { readFile, writeFile, mkdir, appendFile, readdir, statfs } from "node:fs/promises";
|
||||
import { basename, dirname, join, relative } from "node:path";
|
||||
import { promisify } from "node:util";
|
||||
import { Type, type Static, type TSchema } from "@earendil-works/pi-ai";
|
||||
import type { AgentTool, AgentToolResult, AgentToolUpdateCallback } from "@earendil-works/pi-agent-core";
|
||||
import type { MemoryClient } from "./memory.ts";
|
||||
import { describeDecision, type NM2Client } from "./nm2.ts";
|
||||
|
||||
const run = promisify(execFile);
|
||||
|
||||
/** Match a filename against a simple `*` / `?` wildcard pattern. */
|
||||
function wildcardMatches(name: string, pattern: string): boolean {
|
||||
const escaped = pattern.replace(/[.+^${}()|[\]\\]/g, "\\$&");
|
||||
const regex = new RegExp(`^${escaped.replace(/\*/g, ".*").replace(/\?/g, ".")}$`, "i");
|
||||
return regex.test(name);
|
||||
}
|
||||
|
||||
/** Every file under `root`, as absolute paths, optionally descending into subdirectories. */
|
||||
async function collectFiles(root: string, recursive: boolean): Promise<string[]> {
|
||||
const found: string[] = [];
|
||||
const walk = async (dir: string): Promise<void> => {
|
||||
let entries;
|
||||
try {
|
||||
entries = await readdir(dir, { withFileTypes: true });
|
||||
} catch {
|
||||
return; // unreadable directory: skip rather than fail the whole listing
|
||||
}
|
||||
for (const entry of entries) {
|
||||
const full = join(dir, entry.name);
|
||||
if (entry.isDirectory()) {
|
||||
if (recursive) await walk(full);
|
||||
} else if (entry.isFile()) {
|
||||
found.push(full);
|
||||
}
|
||||
}
|
||||
};
|
||||
await walk(root);
|
||||
return found;
|
||||
}
|
||||
|
||||
/** Build an `AgentTool` whose parameter type is inferred from its schema. */
|
||||
function tool<S extends TSchema, D = unknown>(spec: {
|
||||
name: string;
|
||||
label: string;
|
||||
description: string;
|
||||
parameters: S;
|
||||
executionMode?: "parallel" | "sequential";
|
||||
execute: (
|
||||
toolCallId: string,
|
||||
params: Static<S>,
|
||||
signal?: AbortSignal,
|
||||
onUpdate?: AgentToolUpdateCallback<D>,
|
||||
) => Promise<AgentToolResult<D>>;
|
||||
}): AgentTool<S, D> {
|
||||
return spec;
|
||||
}
|
||||
|
||||
export interface ToolContext {
|
||||
/** Working directory tools may touch; scenarios keep this isolated per run. */
|
||||
workspace: string;
|
||||
memory: MemoryClient;
|
||||
/** Full NM2 observation/control surface. */
|
||||
nm2: NM2Client;
|
||||
/** Scratchpad path shared by both arms of the A/B. */
|
||||
notesPath: string;
|
||||
}
|
||||
|
||||
function text(content: string, details: Record<string, unknown> = {}) {
|
||||
return { content: [{ type: "text" as const, text: content }], details };
|
||||
}
|
||||
|
||||
/**
|
||||
* Build an `AgentTool` for the memory layer that degrades cleanly when the layer is off.
|
||||
*
|
||||
* In a `memory_mode=off` run every mutating NM2 endpoint answers 409 `memory_disabled`.
|
||||
* Both arms use the identical agent and the identical prompt (that is what makes the A/B
|
||||
* meaningful), so the off arm is instructed to use memory tools that cannot work. Letting
|
||||
* that surface as a tool error made a small model retry it until the loop guard aborted the
|
||||
* turn -- punishing the arm for a configuration the agent cannot see. Reporting it as an
|
||||
* ordinary, non-retryable observation keeps the comparison fair.
|
||||
*/
|
||||
function memoryTool<S extends TSchema, D = unknown>(spec: Parameters<typeof tool<S, D>>[0]): AgentTool<S, D> {
|
||||
const base = tool<S, D>(spec);
|
||||
return {
|
||||
...base,
|
||||
execute: async (toolCallId, params, signal, onUpdate) => {
|
||||
try {
|
||||
return await base.execute(toolCallId, params, signal, onUpdate);
|
||||
} catch (error) {
|
||||
const message = error instanceof Error ? error.message : String(error);
|
||||
if (message.includes("memory_disabled") || message.includes("memory_read_only")) {
|
||||
return text(
|
||||
"The long-term memory layer is disabled for this run, so this tool is unavailable. " +
|
||||
"Answer from the current conversation alone and do not call it again.",
|
||||
{ memory_disabled: true },
|
||||
) as AgentToolResult<D>;
|
||||
}
|
||||
throw error;
|
||||
}
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
export function buildTools(context: ToolContext): AgentTool<any>[] {
|
||||
const shell = tool({
|
||||
name: "run_shell",
|
||||
label: "Run Shell Command",
|
||||
description:
|
||||
"Run a shell command inside the scenario workspace and return stdout/stderr. " +
|
||||
"Use it to compute, inspect files, and verify results. " +
|
||||
// Measured: without this a 4B model emits POSIX idioms on Windows and burns calls.
|
||||
// `find / -name "*x*" 2>/dev/null` becomes a PowerShell path ("H:\dev\null") and
|
||||
// fails three times in a row before the loop guard stops it.
|
||||
(process.platform === "win32"
|
||||
? "This is PowerShell on Windows, not bash: POSIX redirections like 2>/dev/null and " +
|
||||
"/dev/null do not work. Use Get-ChildItem/Select-String, and 2>$null if you must silence errors."
|
||||
: "This is bash on POSIX."),
|
||||
parameters: Type.Object({
|
||||
command: Type.String({ description: "Command line to execute" }),
|
||||
timeout_ms: Type.Optional(Type.Number({ description: "Timeout, default 20000", default: 20000 })),
|
||||
}),
|
||||
executionMode: "sequential",
|
||||
execute: async (_id, params) => {
|
||||
try {
|
||||
const { stdout, stderr } = await run(
|
||||
process.platform === "win32" ? "pwsh" : "bash",
|
||||
process.platform === "win32" ? ["-NoProfile", "-Command", params.command] : ["-lc", params.command],
|
||||
{ cwd: context.workspace, timeout: params.timeout_ms ?? 20000, maxBuffer: 1 << 20 },
|
||||
);
|
||||
const body = `${stdout}${stderr ? `\n[stderr]\n${stderr}` : ""}`.trim();
|
||||
if (body) {
|
||||
return text(body, { command: params.command });
|
||||
}
|
||||
// Measured production failure: the model wrote `Where-Object {$_.DriveLetter -eq 'C:'}`
|
||||
// when DriveLetter is the *character* 'C', so the command succeeded and printed nothing.
|
||||
// A bare "(no output)" reads as "not fetched yet", and the model re-issued the identical
|
||||
// command ten times until the loop guard killed the turn. Silence has to be explained,
|
||||
// because a wrong filter is indistinguishable from an unfinished query otherwise.
|
||||
return text(
|
||||
"(no output) — the command ran and succeeded but printed nothing. In this shell that " +
|
||||
"almost always means a filter or condition matched nothing (for example comparing a " +
|
||||
"character to 'C:' instead of 'C'), not that the answer is missing. Do not run the " +
|
||||
"same command again: change the condition, list the objects without filtering, or say " +
|
||||
"you could not get the value.",
|
||||
{ command: params.command, empty: true },
|
||||
);
|
||||
} catch (error) {
|
||||
throw new Error(`command failed: ${(error as Error).message.slice(0, 600)}`);
|
||||
}
|
||||
},
|
||||
});
|
||||
|
||||
const readFileTool = tool({
|
||||
name: "read_file",
|
||||
label: "Read File",
|
||||
description: "Read a UTF-8 text file from the scenario workspace.",
|
||||
parameters: Type.Object({ path: Type.String({ description: "Relative or absolute path" }) }),
|
||||
execute: async (_id, params) => {
|
||||
const content = await readFile(params.path, "utf-8");
|
||||
return text(content, { path: params.path, characters: content.length });
|
||||
},
|
||||
});
|
||||
|
||||
const writeFileTool = tool({
|
||||
name: "write_file",
|
||||
label: "Write File",
|
||||
description: "Write a UTF-8 text file (creates parent directories).",
|
||||
parameters: Type.Object({
|
||||
path: Type.String({ description: "Relative or absolute path" }),
|
||||
content: Type.String({ description: "Full file content" }),
|
||||
}),
|
||||
execute: async (_id, params) => {
|
||||
await mkdir(dirname(params.path), { recursive: true }).catch(() => undefined);
|
||||
await writeFile(params.path, params.content, "utf-8");
|
||||
return text(`wrote ${params.content.length} characters to ${params.path}`, { path: params.path });
|
||||
},
|
||||
});
|
||||
|
||||
const httpGet = tool({
|
||||
name: "http_get",
|
||||
label: "HTTP GET",
|
||||
description: "Fetch a URL and return the first part of the response body.",
|
||||
parameters: Type.Object({
|
||||
url: Type.String({ description: "Absolute http(s) URL" }),
|
||||
max_chars: Type.Optional(Type.Number({ description: "Truncate the body, default 4000", default: 4000 })),
|
||||
}),
|
||||
execute: async (_id, params) => {
|
||||
const response = await fetch(params.url, { redirect: "follow" });
|
||||
const body = await response.text();
|
||||
const limit = params.max_chars ?? 4000;
|
||||
return text(body.slice(0, limit), { status: response.status, truncated: body.length > limit });
|
||||
},
|
||||
});
|
||||
|
||||
const notes = tool({
|
||||
name: "notes",
|
||||
label: "Scratchpad",
|
||||
description:
|
||||
"Append to or read the plain-text scratchpad file. This is ordinary file storage, " +
|
||||
"not the model's memory: use it for temporary working notes and cross-check results.",
|
||||
parameters: Type.Object({
|
||||
action: Type.Union([Type.Literal("append"), Type.Literal("read")], { description: "append or read" }),
|
||||
text: Type.Optional(Type.String({ description: "Text to append (required for append)" })),
|
||||
}),
|
||||
executionMode: "sequential",
|
||||
execute: async (_id, params) => {
|
||||
if (params.action === "append") {
|
||||
if (!params.text) throw new Error("text is required when action=append");
|
||||
await mkdir(dirname(context.notesPath), { recursive: true }).catch(() => undefined);
|
||||
await appendFile(context.notesPath, `${params.text.trim()}\n`, "utf-8");
|
||||
return text("appended", { path: context.notesPath });
|
||||
}
|
||||
try {
|
||||
const content = await readFile(context.notesPath, "utf-8");
|
||||
return text(content || "(scratchpad is empty)", { characters: content.length });
|
||||
} catch {
|
||||
return text("(scratchpad is empty)", { characters: 0 });
|
||||
}
|
||||
},
|
||||
});
|
||||
|
||||
// ------------------------------------------------------------------ NM2
|
||||
// Three tools rather than twenty: a 4B model handles a small action enum far
|
||||
// better, and each group maps to one intent (read / write / administer).
|
||||
const nm2Read = memoryTool({
|
||||
name: "nm2_read",
|
||||
label: "NM2 Memory Read",
|
||||
description:
|
||||
"Inspect the model's own NM2 long-term memory. action=probe asks the router what it " +
|
||||
"WOULD retrieve for a query and returns the decision (need / hop / stop reason / score " +
|
||||
"margin / coverage verdict) plus the exact records and scores, without answering; " +
|
||||
"action=search lists stored records; action=trace shows recent turns' router decisions, " +
|
||||
"injected prefix length and routing latency; action=audit runs the consistency audit; " +
|
||||
"action=stats returns capacity and cache statistics.",
|
||||
parameters: Type.Object({
|
||||
action: Type.Union(
|
||||
[Type.Literal("probe"), Type.Literal("search"), Type.Literal("trace"), Type.Literal("audit"), Type.Literal("stats")],
|
||||
{ description: "probe | search | trace | audit | stats" },
|
||||
),
|
||||
query: Type.Optional(Type.String({ description: "Query text for probe, or filter for search" })),
|
||||
status: Type.Optional(Type.String({ description: "Record status filter for search (default active)" })),
|
||||
limit: Type.Optional(Type.Number({ description: "Max items to return (default 20)" })),
|
||||
}),
|
||||
execute: async (_id, params) => {
|
||||
const limit = Math.max(1, Math.min(200, params.limit ?? 20));
|
||||
if (params.action === "probe") {
|
||||
if (!params.query) throw new Error("query is required when action=probe");
|
||||
const result = await context.nm2.probe(params.query);
|
||||
const lines = result.records.map(
|
||||
(record) =>
|
||||
`- ${record.record_id} score=${record.score ?? "-"} | ${record.entity ?? ""} :: ${record.attribute ?? ""} = ${record.value ?? ""} | ${record.text ?? ""}`,
|
||||
);
|
||||
const coverage = result.coverage
|
||||
? `coverage=${result.coverage.attribute ?? "-"} p=${result.coverage.probability ?? "-"}`
|
||||
: "coverage=off";
|
||||
return text(
|
||||
`need_memory=${result.need_memory} hop=${result.hop_count} stop=${result.stop_reason} ` +
|
||||
`confidence=${result.confidence} margin=${result.score_margin} ${coverage}\n` +
|
||||
`route_ms=${(result.timing.route_seconds * 1000).toFixed(2)}\n` +
|
||||
(lines.join("\n") || "(router returned no records — it abstained)"),
|
||||
{ probe: result as unknown as Record<string, unknown> },
|
||||
);
|
||||
}
|
||||
if (params.action === "search") {
|
||||
const result = await context.nm2.records(params.query ?? "", params.status ?? "active", limit);
|
||||
const lines = result.records.map(
|
||||
(record) =>
|
||||
`- ${record.record_id} [${record.status}] v${record.version ?? "?"} | ${record.entity ?? ""} :: ${record.attribute ?? ""} = ${record.value ?? ""} | ${record.text ?? ""}`,
|
||||
);
|
||||
return text(lines.join("\n") || "(no records)", { returned: result.returned });
|
||||
}
|
||||
if (params.action === "trace") {
|
||||
const { traces } = await context.nm2.traces(limit);
|
||||
const lines = traces.map((trace) => {
|
||||
const decision = trace.router_decisions?.[0];
|
||||
return (
|
||||
`turn ${trace.turn} (${trace.kind}) write=${trace.memory_changed ?? "-"} ` +
|
||||
`prefix_tokens=${trace.prefix_tokens ?? "-"} ` +
|
||||
`read_ms=${trace.read_seconds ? (trace.read_seconds * 1000).toFixed(2) : "-"} :: ${describeDecision(decision)}`
|
||||
);
|
||||
});
|
||||
return text(lines.join("\n") || "(no turns recorded)", { returned: traces.length });
|
||||
}
|
||||
if (params.action === "audit") {
|
||||
return text(JSON.stringify(await context.nm2.audit(), null, 2).slice(0, 3000));
|
||||
}
|
||||
return text(JSON.stringify(await context.nm2.stats(), null, 2).slice(0, 2500));
|
||||
},
|
||||
});
|
||||
|
||||
const nm2Write = memoryTool({
|
||||
name: "nm2_write",
|
||||
label: "NM2 Memory Write",
|
||||
description:
|
||||
"Change the model's own NM2 memory. action=write stores a new record (give entity/attribute/" +
|
||||
"value when the fact has structure); action=correct updates a fact to a new value — pass " +
|
||||
"record_id for a record you saw, or just entity/attribute/value and it is versioned for you; " +
|
||||
"action=retract marks a record as no longer usable; " +
|
||||
"action=approve moves a quarantined record into normal use.",
|
||||
parameters: Type.Object({
|
||||
action: Type.Union(
|
||||
[Type.Literal("write"), Type.Literal("correct"), Type.Literal("retract"), Type.Literal("approve")],
|
||||
{ description: "write | correct | retract | approve" },
|
||||
),
|
||||
text: Type.Optional(Type.String({ description: "Record text (write/correct)" })),
|
||||
record_id: Type.Optional(Type.String({ description: "Target record (correct/retract/approve)" })),
|
||||
entity: Type.Optional(Type.String({
|
||||
description:
|
||||
"Who or what the fact is about. For facts about the user this is always \"user\" — " +
|
||||
"it is NOT the value and not a name taken from the sentence",
|
||||
})),
|
||||
attribute: Type.Optional(Type.String({
|
||||
description:
|
||||
"Which property, e.g. 名字, 默认语言, 项目代号. Short, and stable across updates so a " +
|
||||
"later correction replaces the same fact instead of adding a second one",
|
||||
})),
|
||||
value: Type.Optional(Type.String({ description: "The value itself, e.g. Wpy, 葡萄牙语, 蓝鲸-47" })),
|
||||
// importance/confidence are deliberately NOT parameters. The checkpoint already
|
||||
// carries a learned importance head (AutomaticMemoryPolicyV2.importance) that scores
|
||||
// a turn from its hidden state, so asking the model to hand-fill "importance: 0.9"
|
||||
// made every write a constant the caller chose, not a judgement the model made.
|
||||
}),
|
||||
executionMode: "sequential",
|
||||
execute: async (_id, params) => {
|
||||
// A model asked to remember a fact naturally supplies entity/attribute/value
|
||||
// without a sentence. Requiring `text` there rejected the most common correct call
|
||||
// outright, so the record text is composed from the structured fields when absent.
|
||||
const composed = [params.entity, params.attribute, params.value]
|
||||
.filter((part) => typeof part === "string" && part.trim())
|
||||
.join(" ");
|
||||
// NM2 versions by `entity::attribute`, and the bank's own auto-written records use
|
||||
// `user`. Leaving the entity empty made the conflict key `::默认语言`, which works
|
||||
// but does not line up with the records the memory layer writes for itself.
|
||||
const entity = params.entity ?? (params.attribute ? "user" : undefined);
|
||||
// Read the composed sentence back from the model's own point of view: the record's
|
||||
// text becomes the 事实 line the memory layer quotes back later, and
|
||||
// "记一下：user 的 名字 是 Wpy。" reads like machine output.
|
||||
const owner = (entity ?? "user").trim().toLowerCase() === "user" ? "我的" : `${entity} 的`;
|
||||
const sentence = params.text
|
||||
?? (composed
|
||||
? params.attribute && params.value
|
||||
? `记一下：${owner}${params.attribute}是 ${params.value}。`
|
||||
: `记一下：${composed}。`
|
||||
: "");
|
||||
const structured = { ...params, entity };
|
||||
if (params.action === "write") {
|
||||
if (!sentence.trim()) {
|
||||
throw new Error("provide text, or entity+attribute+value so the record text can be composed");
|
||||
}
|
||||
return text(JSON.stringify(await context.nm2.write({ ...structured, text: sentence })));
|
||||
}
|
||||
if (params.action === "correct") {
|
||||
if (!params.record_id) {
|
||||
// A "correct" with structured fields but no id is the same operation as a
|
||||
// structured write: NM2 versions by entity::attribute on its own, so demanding
|
||||
// a record_id here only produced a dead end for the model.
|
||||
if (!sentence.trim()) {
|
||||
throw new Error("provide record_id, or entity+attribute+value to write the corrected fact");
|
||||
}
|
||||
return text(JSON.stringify({ ...(await context.nm2.write({ ...structured, text: sentence })), note: "corrected via structured write (NM2 versions by entity::attribute)" }));
|
||||
}
|
||||
try {
|
||||
return text(JSON.stringify(await context.nm2.correct({ ...params, record_id: params.record_id, text: sentence || undefined })));
|
||||
} catch (error) {
|
||||
// Verified failure mode: NM2's auto-forget retracts the old value inside the
|
||||
// same turn in which the user revokes it, so by the time the model asks to
|
||||
// correct that record it is already retracted and cannot be edited. Retrying
|
||||
// as a structured write is exactly what NM2 wants and what the model meant.
|
||||
if (!sentence.trim()) throw error;
|
||||
const written = await context.nm2.write({ ...structured, text: sentence });
|
||||
return text(JSON.stringify({
|
||||
...written,
|
||||
recovered_from: `correct(${params.record_id}) failed: ${(error as Error).message}`,
|
||||
note: "the target record was no longer active, so the corrected fact was stored as a new versioned record instead",
|
||||
}));
|
||||
}
|
||||
}
|
||||
if (!params.record_id) throw new Error(`record_id is required when action=${params.action}`);
|
||||
return text(
|
||||
JSON.stringify(
|
||||
params.action === "retract"
|
||||
? await context.nm2.retract(params.record_id)
|
||||
: await context.nm2.approve(params.record_id),
|
||||
),
|
||||
);
|
||||
},
|
||||
});
|
||||
|
||||
// Knobs the agent may still set are the ones the model cannot decide for itself: hard
|
||||
// runtime limits of this machine. Everything else here used to be tunable too, and that
|
||||
// was the problem -- read_threshold, min_read_margin, auto_memory_threshold,
|
||||
// auto_forget_threshold, max_hops and coverage_vocabulary_fraction all override a head the
|
||||
// checkpoint has already learned (need_memory, hop_controller, the memory policy, the
|
||||
// attribute head). Passing numbers for those made the memory system's judgement an
|
||||
// external constant again, so the agent no longer gets a panel for them.
|
||||
const RUNTIME_KNOBS = [
|
||||
"kv_budget_tokens",
|
||||
"kv_keep_recent_tokens",
|
||||
"context_chunk_tokens",
|
||||
"gpu_cache_records",
|
||||
"gpu_cache_tokens",
|
||||
] as const;
|
||||
|
||||
const nm2Admin = memoryTool({
|
||||
name: "nm2_admin",
|
||||
label: "NM2 Administration",
|
||||
description:
|
||||
"Administer the NM2 runtime. action=config_get shows the runtime limits and their " +
|
||||
"values -- the memory layer's own routing and write/forget decisions are made by the " +
|
||||
"model and are deliberately not tunable from here; " +
|
||||
"action=compact compresses long context into NM2 records and reports the hot window; " +
|
||||
"action=session save/load/list/reset switches which user's memory is active; " +
|
||||
"action=reset clears all memory.",
|
||||
parameters: Type.Object({
|
||||
action: Type.Union(
|
||||
[
|
||||
Type.Literal("config_get"),
|
||||
Type.Literal("config_set"),
|
||||
Type.Literal("compact"),
|
||||
Type.Literal("session"),
|
||||
Type.Literal("reset"),
|
||||
// Aliases for capabilities that live in nm2_read: a model that reaches for them
|
||||
// here should get data, not a schema rejection that leads it to invent ids.
|
||||
Type.Literal("search"),
|
||||
Type.Literal("list"),
|
||||
Type.Literal("audit"),
|
||||
],
|
||||
{ description: "config_get | config_set | compact | session | reset | search | list | audit" },
|
||||
),
|
||||
knobs: Type.Optional(Type.Record(Type.String(), Type.Union([Type.Number(), Type.Boolean()]))),
|
||||
text: Type.Optional(Type.String({ description: "Text to compress for action=compact" })),
|
||||
session_action: Type.Optional(
|
||||
Type.Union([
|
||||
Type.Literal("save"),
|
||||
Type.Literal("load"),
|
||||
Type.Literal("list"),
|
||||
Type.Literal("delete"),
|
||||
Type.Literal("reset"),
|
||||
]),
|
||||
),
|
||||
user: Type.Optional(Type.String({ description: "User id for action=session" })),
|
||||
}),
|
||||
executionMode: "sequential",
|
||||
execute: async (_id, params) => {
|
||||
// `search`/`list` belong to nm2_read, but a model that reaches for them here gets a
|
||||
// schema rejection, invents a record id, and then spirals. Accept them as aliases.
|
||||
const action = params.action as string;
|
||||
if (action === "config_get") {
|
||||
return text(JSON.stringify(await context.nm2.config(), null, 2).slice(0, 2500));
|
||||
}
|
||||
if (action === "config_set") {
|
||||
if (!params.knobs) throw new Error("knobs is required when action=config_set");
|
||||
const requested = Object.keys(params.knobs);
|
||||
const refused = requested.filter(
|
||||
(name) => !(RUNTIME_KNOBS as readonly string[]).includes(name),
|
||||
);
|
||||
if (refused.length > 0) {
|
||||
// Refuse loudly rather than silently dropping the request: a model that thinks it
|
||||
// changed the routing threshold should not go on believing that.
|
||||
throw new Error(
|
||||
`these are decided by the model, not by the caller: ${refused.join(", ")}. ` +
|
||||
`Only runtime limits of this machine can be set here (${RUNTIME_KNOBS.join(", ")}).`,
|
||||
);
|
||||
}
|
||||
const result = await context.nm2.setConfig(params.knobs as Record<string, number | boolean>);
|
||||
return text(`applied=${JSON.stringify(result.applied)} rejected=${JSON.stringify(result.rejected)}`);
|
||||
}
|
||||
if (action === "search" || action === "list") {
|
||||
const result = await context.nm2.records("", "active", 50);
|
||||
const lines = result.records.map(
|
||||
(record) =>
|
||||
`- ${record.record_id} [${record.status}] v${record.version ?? "?"} | ${record.entity ?? ""} :: ${record.attribute ?? ""} = ${record.value ?? ""}`,
|
||||
);
|
||||
return text(lines.join("\n") || "(no active records)", { returned: result.returned });
|
||||
}
|
||||
if (action === "audit") {
|
||||
return text(JSON.stringify(await context.nm2.audit(), null, 2).slice(0, 2000));
|
||||
}
|
||||
if (action === "compact") {
|
||||
if (!params.text) throw new Error("text is required when action=compact");
|
||||
return text(JSON.stringify(await context.nm2.compact(params.text)).slice(0, 2000));
|
||||
}
|
||||
if (action === "session") {
|
||||
return text(JSON.stringify(await context.nm2.session(params.session_action ?? "list", params.user)));
|
||||
}
|
||||
return text(JSON.stringify(await context.nm2.reset()));
|
||||
},
|
||||
});
|
||||
|
||||
// ------------------------------------------------- narrow, non-shell queries
|
||||
// Measured production failure, twice on different tasks: asked for free disk space the
|
||||
// model wrote `Where-Object {$_.DriveLetter -eq 'C:'}` (DriveLetter is the *character*
|
||||
// 'C', so the filter silently matched nothing) and then repeated it until the loop guard
|
||||
// killed the turn; asked to count files it wrote `Measure-Object -Width 0`, which is not a
|
||||
// parameter. Both are questions with one right answer, and neither needs a shell: these
|
||||
// two tools answer them from Node, so the model supplies a path instead of authoring a
|
||||
// command. `run_shell` stays for everything else.
|
||||
const diskSpace = tool({
|
||||
name: "disk_space",
|
||||
label: "Disk Space",
|
||||
description:
|
||||
"Report free and total space for a drive. Use this for any question about remaining " +
|
||||
"disk space instead of writing a shell command; pass a drive or any path on it.",
|
||||
parameters: Type.Object({
|
||||
path: Type.Optional(Type.String({
|
||||
description: "Drive or any path on it, e.g. C:\\ or E:\\deepseek (default C:\\)",
|
||||
})),
|
||||
}),
|
||||
execute: async (_id, params) => {
|
||||
const target = params.path?.trim() || (process.platform === "win32" ? "C:\\" : "/");
|
||||
const stats = await statfs(target);
|
||||
const block = Number(stats.bsize);
|
||||
const freeBytes = Number(stats.bavail) * block;
|
||||
const totalBytes = Number(stats.blocks) * block;
|
||||
const usedBytes = Math.max(0, totalBytes - freeBytes);
|
||||
const gb = (bytes: number) => `${(bytes / 1024 ** 3).toFixed(2)} GB`;
|
||||
return text(
|
||||
`${target} 可用 ${gb(freeBytes)}，共 ${gb(totalBytes)}，已用 ${gb(usedBytes)}` +
|
||||
`（已用率 ${((usedBytes / Math.max(1, totalBytes)) * 100).toFixed(1)}%）`,
|
||||
{ path: target, free_bytes: freeBytes, total_bytes: totalBytes },
|
||||
);
|
||||
},
|
||||
});
|
||||
|
||||
const listFiles = tool({
|
||||
name: "list_files",
|
||||
label: "List Files",
|
||||
description:
|
||||
"List the files under a directory and count them, optionally filtered by a wildcard " +
|
||||
"pattern and optionally including subdirectories. Use this for any 'how many files' or " +
|
||||
"'what is in this directory' question instead of writing a shell command. Each entry is " +
|
||||
"printed as a full path you can copy straight into read_file.",
|
||||
parameters: Type.Object({
|
||||
path: Type.String({ description: "Directory to inspect" }),
|
||||
pattern: Type.Optional(Type.String({ description: "Wildcard filter, e.g. *.py" })),
|
||||
recursive: Type.Optional(Type.Boolean({ description: "Include subdirectories (default false)" })),
|
||||
}),
|
||||
execute: async (_id, params) => {
|
||||
const recursive = params.recursive === true;
|
||||
const all = await collectFiles(params.path, recursive);
|
||||
const wanted = params.pattern?.trim()
|
||||
? all.filter((file) => wildcardMatches(basename(file), params.pattern!.trim()))
|
||||
: all;
|
||||
const sorted = [...wanted].sort((a, b) => a.localeCompare(b));
|
||||
const shown = sorted.slice(0, 25);
|
||||
const more = sorted.length > shown.length ? `（只列前 ${shown.length} 个）` : "";
|
||||
const scope = recursive ? "（含子目录）" : "（仅顶层）";
|
||||
const filter = params.pattern?.trim() ? `匹配 ${params.pattern.trim()} 的 ` : "";
|
||||
return text(
|
||||
`${params.path} ${scope}：${filter}文件 ${sorted.length} 个，全部文件 ${all.length} 个\n` +
|
||||
`${shown.join("\n")}${more}`,
|
||||
{ path: params.path, matched: sorted.length, files: all.length, recursive },
|
||||
);
|
||||
},
|
||||
});
|
||||
|
||||
// Measured wall: asked to count `client-*.txt` files and then show the first one's first
|
||||
// line, the model listed the files correctly and *then* invented a filename
|
||||
// (`client-0001.txt`) instead of copying one it had just been given, took six more failed
|
||||
// steps, and ended the turn with `<tool_response>` and no answer. A 4B checkpoint cannot
|
||||
// reliably carry a value from one tool result into the next call, so this tool performs the
|
||||
// whole lookup itself: no hand-off, nothing to transcribe.
|
||||
const peekFiles = tool({
|
||||
name: "peek_files",
|
||||
label: "Peek Files",
|
||||
description:
|
||||
"Count the files matching a pattern and show the beginning of the first one (sorted by " +
|
||||
"name). Use this whenever a task wants both a count and the contents of 'the first' or " +
|
||||
"'any one' of the matches -- it completes the whole lookup in a single call.",
|
||||
parameters: Type.Object({
|
||||
path: Type.String({ description: "Directory to inspect" }),
|
||||
pattern: Type.Optional(Type.String({ description: "Wildcard filter, e.g. *.txt" })),
|
||||
recursive: Type.Optional(Type.Boolean({ description: "Include subdirectories (default false)" })),
|
||||
head_lines: Type.Optional(Type.Number({ description: "Leading lines of the first file to show (default 3)" })),
|
||||
}),
|
||||
execute: async (_id, params) => {
|
||||
const recursive = params.recursive === true;
|
||||
const all = await collectFiles(params.path, recursive);
|
||||
const wanted = params.pattern?.trim()
|
||||
? all.filter((file) => wildcardMatches(basename(file), params.pattern!.trim()))
|
||||
: all;
|
||||
if (wanted.length === 0) {
|
||||
return text(
|
||||
`${params.path} 下没有匹配 ${params.pattern ?? "*"} 的文件（该目录共 ${all.length} 个文件）`,
|
||||
{ path: params.path, matched: 0 },
|
||||
);
|
||||
}
|
||||
const sorted = [...wanted].sort((a, b) => a.localeCompare(b));
|
||||
const first = sorted[0];
|
||||
const headLines = Math.max(1, Math.min(40, Math.round(params.head_lines ?? 3)));
|
||||
let head: string[] = [];
|
||||
try {
|
||||
head = (await readFile(first, "utf-8")).split(/\r?\n/).slice(0, headLines);
|
||||
} catch (error) {
|
||||
head = [`(读取失败：${(error as Error).message.slice(0, 120)})`];
|
||||
}
|
||||
return text(
|
||||
`匹配 ${params.pattern ?? "*"} 的文件共 ${sorted.length} 个（${params.path}${recursive ? " 含子目录" : " 仅顶层"}）\n` +
|
||||
`按名称排序的第一个：${first}\n` +
|
||||
`它的前 ${headLines} 行：\n${head.join("\n")}`,
|
||||
{ path: params.path, matched: sorted.length, first, head_lines: head },
|
||||
);
|
||||
},
|
||||
});
|
||||
|
||||
return [
|
||||
shell,
|
||||
diskSpace,
|
||||
listFiles,
|
||||
peekFiles,
|
||||
readFileTool,
|
||||
writeFileTool,
|
||||
httpGet,
|
||||
notes,
|
||||
nm2Read,
|
||||
nm2Write,
|
||||
nm2Admin,
|
||||
];
|
||||
}
|
||||
@@ -0,0 +1,383 @@
|
||||
/**
|
||||
* Interactive terminal UI for the Natural Memory test agent.
|
||||
*
|
||||
* This is the agent, not a wrapper around the HTTP surface: it drives the same Pi
|
||||
* `Agent` with the same eight tools and the same system prompt as the scenario suite,
|
||||
* so what you see here is the behaviour the suite measures. Each exchange shows the
|
||||
* tools the model chose, their results, and what the memory layer did with the turn.
|
||||
*
|
||||
* bun run tui # memory on (default)
|
||||
* bun run tui --session demo1 # keep one memory across restarts
|
||||
* bun run tui --arm off # memory switched off, for comparison
|
||||
*/
|
||||
|
||||
import { createInterface } from "node:readline/promises";
|
||||
import { stdin, stdout } from "node:process";
|
||||
import { mkdir } from "node:fs/promises";
|
||||
import { fileURLToPath } from "node:url";
|
||||
import { join } from "node:path";
|
||||
import { createTestAgent } from "./agent.ts";
|
||||
import type { AgentEventLike } from "./agent.ts";
|
||||
import { createNaturalMemoryModels } from "./provider.ts";
|
||||
import { DEFAULT_SYSTEM_PROMPT } from "./prompt.ts";
|
||||
import type { NM2Client } from "./nm2.ts";
|
||||
import type { RecordedTurn } from "./memory.ts";
|
||||
|
||||
// ------------------------------------------------------------------ 终端着色
|
||||
const useColor = Boolean(stdout.isTTY) && process.env.NO_COLOR === undefined;
|
||||
const paint = (code: string) => (text: string) => (useColor ? `\u001b[${code}m${text}\u001b[0m` : text);
|
||||
const dim = paint("2");
|
||||
const bold = paint("1");
|
||||
const cyan = paint("36");
|
||||
const green = paint("32");
|
||||
const yellow = paint("33");
|
||||
const red = paint("31");
|
||||
const magenta = paint("35");
|
||||
|
||||
/** 把英文状态翻成人话；不认识的原样显示。 */
|
||||
const STOP_REASON_ZH: Record<string, string> = {
|
||||
evidence_found: "找到证据，已注入提示词",
|
||||
below_read_threshold: "分数低于读取门槛，不注入",
|
||||
router_abstained: "路由器判定这轮不需要记忆",
|
||||
attribute_not_covered: "库里没有这个属性（覆盖门拒答）",
|
||||
memory_disabled: "记忆已关闭",
|
||||
token_evidence_override: "词元证据否决，不注入",
|
||||
};
|
||||
|
||||
const STATUS_ZH: Record<string, string> = {
|
||||
active: "生效",
|
||||
superseded: "已被新版取代",
|
||||
retracted: "已撤回",
|
||||
quarantined: "隔离中",
|
||||
};
|
||||
|
||||
function clip(text: string, limit: number): string {
|
||||
const oneLine = text.replace(/\s+/g, " ").trim();
|
||||
return oneLine.length > limit ? `${oneLine.slice(0, limit)}…` : oneLine;
|
||||
}
|
||||
|
||||
function rule(label = ""): void {
|
||||
const line = "─".repeat(Math.max(0, 60 - label.length));
|
||||
stdout.write(label ? `${dim(label)}${dim(line)}\n` : `${dim(line)}\n`);
|
||||
}
|
||||
|
||||
// ------------------------------------------------------------------ 每轮渲染
|
||||
function renderToolCall(name: string, args: unknown): void {
|
||||
const rendered = JSON.stringify(args ?? {});
|
||||
stdout.write(` ${cyan("→")} ${bold(name)} ${dim(clip(rendered, 160))}\n`);
|
||||
}
|
||||
|
||||
/** Tool results are long JSON; show the part a human actually reads. */
|
||||
function renderToolResult(name: string, result: unknown): void {
|
||||
let text = "";
|
||||
if (result && typeof result === "object") {
|
||||
const content = (result as { content?: unknown }).content;
|
||||
if (Array.isArray(content)) {
|
||||
text = content
|
||||
.map((part) => (typeof part === "string" ? part : String((part as { text?: string })?.text ?? "")))
|
||||
.join(" ");
|
||||
} else {
|
||||
text = JSON.stringify(result);
|
||||
}
|
||||
} else {
|
||||
text = String(result ?? "");
|
||||
}
|
||||
const marker = /error|failed|HTTP [45]|required|不可用|disabled/i.test(text) ? yellow("←") : green("←");
|
||||
stdout.write(` ${marker} ${dim(name)} ${clip(text, 300)}\n`);
|
||||
}
|
||||
|
||||
function renderMemoryDecision(turn: RecordedTurn | undefined): void {
|
||||
const diagnostics = turn?.diagnostics;
|
||||
const decision = diagnostics?.router_decisions?.[0];
|
||||
if (!decision) {
|
||||
stdout.write(` ${dim("记忆层：这一轮没有留下路由记录")}\n`);
|
||||
return;
|
||||
}
|
||||
const reason = String(decision.stop_reason ?? "");
|
||||
const wanted = decision.need_memory ? green("要") : dim("不要");
|
||||
stdout.write(
|
||||
` ${magenta("记忆层")} 用记忆=${wanted}` +
|
||||
` · ${STOP_REASON_ZH[reason] ?? reason ?? "（无）"}` +
|
||||
` · 命中记录 ${decision.record_ids?.length ?? 0} 条` +
|
||||
` · 注入 ${diagnostics?.prefix_tokens ?? 0} 词元` +
|
||||
` · 路由 ${Math.round(Number(diagnostics?.read_seconds ?? 0) * 1000)} 毫秒\n`,
|
||||
);
|
||||
const forget = diagnostics?.auto_forget_probability?.[0];
|
||||
if (typeof forget === "number") {
|
||||
const hot = forget >= 0.9;
|
||||
stdout.write(
|
||||
` ${magenta("记忆层")} 自动遗忘概率 ${forget.toFixed(4)}` +
|
||||
(hot ? red(" ← 超过门槛，本轮触发遗忘") : "") +
|
||||
"\n",
|
||||
);
|
||||
}
|
||||
const memory = turn?.memoryAfter;
|
||||
if (memory) {
|
||||
stdout.write(
|
||||
` ${magenta("记忆层")} 库内：生效 ${memory.active_records ?? 0} · 取代 ` +
|
||||
`${memory.superseded_records ?? 0} · 撤回 ${memory.retracted_records ?? 0} · ` +
|
||||
`隔离 ${memory.quarantined_records ?? 0}\n`,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
// ------------------------------------------------------------------ 斜杠命令
|
||||
const HELP = `
|
||||
可用命令：
|
||||
/help 显示这份帮助
|
||||
/memory 看记忆库里的生效记录
|
||||
/all 看全部记录（含已取代、已撤回）
|
||||
/trace [条数] 看最近几轮的记忆层决策
|
||||
/probe 问题 只跑路由，不看生成（看清它到底检索到什么）
|
||||
/arm on|off 切换记忆开关（off 就是对照组：记忆层完全不可写）
|
||||
/reset 清空记忆库
|
||||
/tools 列出这个智能体手里的工具
|
||||
/clear 清屏
|
||||
/exit 退出
|
||||
|
||||
直接输入文字就是跟智能体说话。它会自己决定什么时候读记忆、什么时候写记忆。
|
||||
`;
|
||||
|
||||
async function showRecords(nm2: NM2Client, status: string, title: string): Promise<void> {
|
||||
const { records } = await nm2.records("", status, 200);
|
||||
stdout.write(`${bold(title)}（${records.length} 条）\n`);
|
||||
if (records.length === 0) {
|
||||
stdout.write(` ${dim("（空）")}\n`);
|
||||
return;
|
||||
}
|
||||
for (const record of records) {
|
||||
const state = STATUS_ZH[String(record.status)] ?? String(record.status);
|
||||
const origin = record.origin ? String(record.origin) : "（无来源标记）";
|
||||
// Records the automatic layer writes from a sentence it cannot structure (「我叫Wpy」,
|
||||
// 「我住在上海」) have no entity/attribute at all. Printing the empty fields made them
|
||||
// look like a rendering bug; show the text instead, since that is all they have.
|
||||
const structured = Boolean(String(record.entity ?? "").trim() || String(record.attribute ?? "").trim());
|
||||
const label = structured
|
||||
? `${record.entity ?? ""}｜${record.attribute ?? ""} = ${record.value ?? ""}`
|
||||
: `${clip(String(record.text ?? ""), 64)} ${yellow("（无结构化字段，无法按属性更正）")}`;
|
||||
stdout.write(` · [${state}] ${label}\n ${dim(`来源轮次 ${origin}`)}\n`);
|
||||
}
|
||||
}
|
||||
|
||||
async function showTrace(nm2: NM2Client, limit: number): Promise<void> {
|
||||
const { traces } = await nm2.traces(limit);
|
||||
stdout.write(`${bold(`最近 ${traces.length} 轮的记忆层决策`)}\n`);
|
||||
for (const trace of traces) {
|
||||
const decision = trace.router_decisions?.[0];
|
||||
const reason = String(decision?.stop_reason ?? "");
|
||||
stdout.write(
|
||||
` · 第 ${trace.turn} 轮 [${trace.memory_mode}] ` +
|
||||
`${decision?.need_memory ? "用记忆" : "不用记忆"} · ${STOP_REASON_ZH[reason] ?? reason}` +
|
||||
` · 命中 ${decision?.record_ids?.length ?? 0} 条 · 注入 ${trace.prefix_tokens ?? 0} 词元\n`,
|
||||
);
|
||||
if (trace.user_message) stdout.write(` ${dim(clip(trace.user_message, 90))}\n`);
|
||||
}
|
||||
}
|
||||
|
||||
// ------------------------------------------------------------------ 主流程
|
||||
function parseArgs(argv: string[]): Record<string, string | string[]> {
|
||||
const args: Record<string, string | string[]> = {};
|
||||
const push = (key: string, value: string) => {
|
||||
const existing = args[key];
|
||||
if (existing === undefined) args[key] = value;
|
||||
else if (Array.isArray(existing)) existing.push(value);
|
||||
else args[key] = [existing, value];
|
||||
};
|
||||
for (let i = 0; i < argv.length; i += 1) {
|
||||
const token = argv[i];
|
||||
if (!token.startsWith("--")) continue;
|
||||
const next = argv[i + 1];
|
||||
if (next && !next.startsWith("--")) {
|
||||
push(token.slice(2), next);
|
||||
i += 1;
|
||||
} else {
|
||||
push(token.slice(2), "true");
|
||||
}
|
||||
}
|
||||
return args;
|
||||
}
|
||||
|
||||
async function main(): Promise<number> {
|
||||
const args = parseArgs(process.argv.slice(2));
|
||||
const first = (key: string): string | undefined => {
|
||||
const value = args[key];
|
||||
return Array.isArray(value) ? value[0] : value;
|
||||
};
|
||||
const baseUrl = first("base") ?? process.env.NATURAL_MEMORY_BASE_URL ?? "http://127.0.0.1:8766/v1";
|
||||
const session = first("session") ?? `tui-${Date.now().toString(36)}`;
|
||||
const arm = (first("arm") ?? "on") as "on" | "off" | "read_only";
|
||||
const agentRoot = fileURLToPath(new URL("..", import.meta.url));
|
||||
const runDir = join(agentRoot, "runs", "tui");
|
||||
const workspace = first("workspace") ?? join(runDir, "workspace");
|
||||
const notesPath = join(runDir, "notes.txt");
|
||||
await mkdir(workspace, { recursive: true });
|
||||
await mkdir(runDir, { recursive: true });
|
||||
|
||||
const { models, model } = createNaturalMemoryModels(baseUrl);
|
||||
|
||||
// Fail early and in Chinese if the model server is not up.
|
||||
try {
|
||||
const health = await fetch(`${baseUrl.replace(/\/v1$/, "")}/health`);
|
||||
if (!health.ok) throw new Error(String(health.status));
|
||||
} catch {
|
||||
stdout.write(`${red("连不上模型服务")} ${dim(baseUrl)}\n`);
|
||||
stdout.write("先把模型服务起来，再跑这个 TUI。命令见 agent_lab/RESULTS.md 第 8 节。\n");
|
||||
return 1;
|
||||
}
|
||||
|
||||
const agent = await createTestAgent({
|
||||
models,
|
||||
model,
|
||||
session,
|
||||
memoryBaseUrl: baseUrl,
|
||||
workspace,
|
||||
notesPath,
|
||||
systemPrompt: DEFAULT_SYSTEM_PROMPT,
|
||||
memoryMode: arm,
|
||||
onEvent: (event: AgentEventLike) => {
|
||||
if (event.type === "tool_execution_start" && event.toolName) {
|
||||
renderToolCall(event.toolName, event.args);
|
||||
} else if (event.type === "tool_execution_end" && event.toolName) {
|
||||
renderToolResult(event.toolName, event.result);
|
||||
}
|
||||
},
|
||||
});
|
||||
|
||||
const health = await agent.memory.health();
|
||||
const memory = (health.memory ?? {}) as Record<string, number>;
|
||||
rule("NM2 智能体 · 交互终端");
|
||||
stdout.write(`模型：${health.model_path ?? "(未知)"}\n`);
|
||||
stdout.write(`记忆开关：${arm} · 生效记录 ${memory.active_records ?? 0} 条\n`);
|
||||
stdout.write(`会话名：${session} ${dim("（同一个会话名，记忆会一直留着）")}\n`);
|
||||
stdout.write(dim("输入 /help 看命令，直接打字就是对话。\n"));
|
||||
|
||||
/** Handle one line (a slash command or a message). Returns false to stop. */
|
||||
const handleLine = async (line: string): Promise<boolean> => {
|
||||
if (line.startsWith("/")) {
|
||||
const [command, ...rest] = line.slice(1).split(/\s+/);
|
||||
const argument = rest.join(" ");
|
||||
try {
|
||||
if (command === "exit" || command === "quit") return false;
|
||||
if (command === "help") stdout.write(HELP);
|
||||
else if (command === "clear") stdout.write("\u001b[2J\u001b[H");
|
||||
else if (command === "memory") await showRecords(agent.nm2, "active", "生效记录");
|
||||
else if (command === "all") await showRecords(agent.nm2, "all", "全部记录");
|
||||
else if (command === "trace") await showTrace(agent.nm2, Number(argument) || 8);
|
||||
else if (command === "reset") {
|
||||
await agent.nm2.reset();
|
||||
stdout.write(`${green("已清空记忆库。")}\n`);
|
||||
} else if (command === "arm") {
|
||||
if (argument !== "on" && argument !== "off") {
|
||||
stdout.write(`用法：/arm on 或 /arm off\n`);
|
||||
} else {
|
||||
await agent.nm2.setMode(argument);
|
||||
stdout.write(
|
||||
`${green(`记忆开关已切到 ${argument}`)}` +
|
||||
(argument === "off" ? dim("（写入会被拒绝，这就是对照组）") : "") +
|
||||
"\n",
|
||||
);
|
||||
}
|
||||
} else if (command === "probe") {
|
||||
if (!argument) {
|
||||
stdout.write("用法：/probe 你的问题\n");
|
||||
} else {
|
||||
const result = await agent.nm2.probe(argument);
|
||||
const reason = String(result.stop_reason ?? "");
|
||||
stdout.write(
|
||||
`${bold("只跑路由，不生成")}：用记忆=${result.need_memory ? "要" : "不要"} · ` +
|
||||
`${STOP_REASON_ZH[reason] ?? reason} · 命中 ${result.records?.length ?? 0} 条\n`,
|
||||
);
|
||||
for (const record of result.records ?? []) {
|
||||
const structured = Boolean(
|
||||
String(record.entity ?? "").trim() || String(record.attribute ?? "").trim(),
|
||||
);
|
||||
const label = structured
|
||||
? `${record.entity ?? ""}｜${record.attribute ?? ""} = ${record.value ?? ""}`
|
||||
: clip(String(record.text ?? ""), 64);
|
||||
stdout.write(
|
||||
` · ${label} ${dim(`相关度 ${Number(record.score ?? 0).toFixed(3)}`)}\n`,
|
||||
);
|
||||
}
|
||||
}
|
||||
} else if (command === "tools") {
|
||||
const tools = (agent.agent.state?.tools ?? []) as { name: string; description?: string }[];
|
||||
stdout.write(`${bold(`${tools.length} 个工具`)}\n`);
|
||||
for (const tool of tools) {
|
||||
stdout.write(` · ${cyan(tool.name)} ${dim(clip(tool.description ?? "", 110))}\n`);
|
||||
}
|
||||
} else {
|
||||
stdout.write(`没有这个命令：/${command}（试试 /help）\n`);
|
||||
}
|
||||
} catch (error) {
|
||||
stdout.write(`${red("命令出错")}：${String(error).slice(0, 300)}\n`);
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
stdout.write(`\n${dim("（思考中，工具调用会实时显示）")}\n`);
|
||||
const started = Date.now();
|
||||
const turns = await agent.ask(line);
|
||||
const turn = turns.at(-1);
|
||||
if (turn?.assistantText) {
|
||||
stdout.write(`\n${bold("智能体")} ${dim("›")} ${turn.assistantText}\n`);
|
||||
} else {
|
||||
stdout.write(`\n${bold("智能体")} ${dim("›")} ${yellow("（这一轮没有产出可读回答）")}\n`);
|
||||
}
|
||||
if (turn?.abortReason) stdout.write(` ${yellow(`提前结束：${turn.abortReason}`)}\n`);
|
||||
if (turn?.enforcedToolUse) {
|
||||
stdout.write(
|
||||
` ${yellow("⚠ 首答没有出处，已强制重问")}` +
|
||||
`${dim(`（被替换掉的答案：${clip(turn.enforcedPreviousAnswer ?? "", 60)}）`)}\n`,
|
||||
);
|
||||
}
|
||||
if (turn?.unverifiedQuantity) {
|
||||
stdout.write(
|
||||
` ${red("⚠ 这个数字没有出处")}` +
|
||||
`${dim("：本轮一次工具都没调，问题却在问数量——别把它当测量结果")}\n`,
|
||||
);
|
||||
}
|
||||
renderMemoryDecision(turn);
|
||||
stdout.write(dim(` 用时 ${((Date.now() - started) / 1000).toFixed(1)} 秒\n`));
|
||||
return true;
|
||||
};
|
||||
|
||||
// `--say` runs lines through the very same handler, without a terminal. Redirected
|
||||
// stdin cannot be used for this: readline closes at EOF, and every later question()
|
||||
// rejects, so a piped conversation silently stops after the first exchange.
|
||||
const scripted = args.say === undefined ? [] : Array.isArray(args.say) ? args.say : [args.say];
|
||||
for (const line of scripted) {
|
||||
const trimmed = line.trim();
|
||||
if (!trimmed) continue;
|
||||
stdout.write(`\n${bold("你")} ${dim("›")} ${trimmed}\n`);
|
||||
if (!(await handleLine(trimmed))) break;
|
||||
}
|
||||
|
||||
if (stdin.isTTY) {
|
||||
const rl = createInterface({ input: stdin, output: stdout });
|
||||
try {
|
||||
for (;;) {
|
||||
let line: string;
|
||||
try {
|
||||
line = (await rl.question(`\n${bold("你")} ${dim("›")} `)).trim();
|
||||
} catch {
|
||||
break;
|
||||
}
|
||||
if (!line) continue;
|
||||
if (!(await handleLine(line))) break;
|
||||
}
|
||||
} finally {
|
||||
rl.close();
|
||||
}
|
||||
}
|
||||
|
||||
agent.close();
|
||||
stdout.write("\n再见。记忆留在模型服务里，下次用同一个会话名还能接着用。\n");
|
||||
return 0;
|
||||
}
|
||||
|
||||
main()
|
||||
.then((code) => process.exit(code))
|
||||
.catch((error) => {
|
||||
stdout.write(`\n${red("出错了")}：${String(error?.stack ?? error)}\n`);
|
||||
process.exit(1);
|
||||
});
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user