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goodmemory - npm Package Compare versions

Comparing version
0.7.2
 to
0.7.3
+246
benchmark-claims/evidence/locomo-v0.7.3-current.json
{
"artifactKind": "tracked-current-claim-projection",
"benchmark": "LoCoMo",
"claim": {
"answerSystem": "locomo-live-category-aware-v1",
"conversationCount": 10,
"executionFailures": 0,
"judgeFailures": 0,
"officialScore": 0.8805194805194805,
"openDomainCorrect": 58,
"openDomainScore": 0.6041666666666666,
"openDomainTotal": 96,
"packageVersion": "0.7.3",
"questionCount": 1540,
"strictScore": 0.6266233766233766
},
"descriptorClaim": {
"claimDeclaration": "benchmark-claims/locomo.json",
"config": "full 10 conversations / 1540 non-adversarial questions",
"measuredPackageVersion": "0.7.3",
"metric": "independent LoCoMo judge-protocol accuracy",
"name": "LoCoMo",
"reference": "benchmark-claims/evidence/locomo-v0.7.3-current.json",
"result": "official 0.8805; strict 0.6266; open-domain 58/96 (0.6042)",
"runtimeProfile": "recommended+provider-embedding+provider-reranking@0.7.3"
},
"evidenceRepositoryBefore": {
"headCommit": "996c181e97e2d0a56bbd78957e79026af328b03b",
"statusPorcelain": ""
},
"execution": {
"answerGateway": "https://ai.gurkiai.com/v1",
"answerModel": "gpt-5.6-terra",
"answerProvider": "openai",
"assistedExtractorGateway": "https://ai.gurkiai.com/v1",
"assistedExtractorModel": "gpt-5.6-terra",
"assistedExtractorProvider": "openai",
"benchmarkFingerprint": "240ba2526911a5f965a285b88794c4d3b938b59be5aecd846cc472ee733357fd",
"benchmarkRootBytes": 2490457,
"benchmarkRootSha256": "e442118810a1c57ee0b5454d12583c27be244936350dcfff1d6102d29cc39c28",
"bunVersion": "1.3.14",
"claimCommandSha256": "649c3069b3859a80b79428798bd600c5ad195285cc86f6e8a296a82d4ea5b164",
"claimCommandTemplateSha256": "7e9a8693964ef29a2fa19d02b30e15e29528cbc396b7c9a41e082cf408a8f969",
"concurrency": 40,
"expectedExtractionCacheKeyCaseMapSha256": "24732a6040c70d52999a18b9d95d72e663a883aa7c5524fc5ee8b4187611e03b",
"expectedExtractionCacheKeySetSha256": "30fde28c5e2450365d8cc3d90a80f72aa900691151f4d1127e0a4f3c8a520f4f",
"embeddingGateway": "https://openrouter.ai/api/v1",
"embeddingModel": "text-embedding-3-small",
"embeddingProvider": "openai",
"judgeGateway": "https://ai.gurkiai.com/v1",
"judgeModel": "gpt-5.5",
"judgeProvider": "openai",
"officialSourceSha256": "cfa618e1929d56dc256962f471768a3855a8989b92c22cce4f09bd8112ebe24f",
"officialRescoreRequestTimeoutMs": 180000,
"promptSha256": "e039c2aa17d9a2253acb6f7742095cc4a0a3b6c5830a117f1b5c4d701db6e07b",
"questionSelectionSha256": "81dbd4ea08eb6ffffc854500522983977984788662ed17e71e7caee9ec726b7b",
"caseQuestionCounts": {
"locomo-conv-26": 152,
"locomo-conv-30": 81,
"locomo-conv-41": 152,
"locomo-conv-42": 199,
"locomo-conv-43": 178,
"locomo-conv-44": 123,
"locomo-conv-47": 150,
"locomo-conv-48": 191,
"locomo-conv-49": 156,
"locomo-conv-50": 158
},
"rerankingGateway": "https://ai.gurkiai.com/v1",
"rerankingModel": "gpt-5.6-terra",
"rerankingProvider": "openai",
"providerEmbeddingRunTimeoutMs": null,
"providerEmbeddingTimeoutMs": null,
"providerRerankingTimeoutMs": 120000
},
"generatedBy": "scripts/run-v0-7-3-full-locomo-claim.ts",
"lifecycleCandidateCommit": "21dcac8d10b0b6714d09cf14eacd83e32e0c9513",
"maxSeedLaunches": 2,
"protocolCandidateCommit": "996c181e97e2d0a56bbd78957e79026af328b03b",
"protocolVersion": 2,
"runIdentity": {
"commit": "996c181e97e2d0a56bbd78957e79026af328b03b",
"finalRunId": "v073-996c181e-full1540-protocol2-final",
"officialRunId": "v073-996c181e-full1540-protocol2-official-gpt55",
"seedRunId": "v073-996c181e-full1540-protocol2-seed"
},
"seedAttempts": [
{
"attempt": 1,
"command": {
"args": [
"--no-env-file",
"run",
"scripts/run-phase-65-locomo-smoke.ts",
"--",
"--benchmark-root",
"/Users/hjqcan/.cache/goodmemory-benchmarks/LoCoMo-captioned-full10-v1",
"--category",
"single_hop",
"--category",
"multi_hop",
"--category",
"temporal",
"--category",
"open_domain",
"--generalized-fusion",
"--provider-embedding",
"--provider-reranking",
"--provider-reranking-timeout-ms",
"120000",
"--conversational-extraction",
"--label-free-ingest",
"--concurrency",
"40",
"--output-dir",
"/private/tmp/goodmemory-v073-protocol2.5LJB8L/candidate/reports/eval/research/v073-996c181e-full1540-protocol2",
"--resume",
"--run-id",
"v073-996c181e-full1540-protocol2-seed"
],
"command": "bun",
"cwd": "/private/tmp/goodmemory-v073-protocol2.5LJB8L/candidate",
"environment": {
"GOODMEMORY_EVAL_MODEL": "gpt-5.6-terra",
"GOODMEMORY_EVAL_BASE_URL": "https://ai.gurkiai.com/v1",
"GOODMEMORY_EVAL_PROVIDER": "openai",
"GOODMEMORY_ASSISTED_EXTRACTOR_BASE_URL": "https://ai.gurkiai.com/v1",
"GOODMEMORY_ASSISTED_EXTRACTOR_MODEL": "gpt-5.6-terra",
"GOODMEMORY_ASSISTED_EXTRACTOR_PROVIDER": "openai",
"GOODMEMORY_EMBEDDING_BASE_URL": "https://openrouter.ai/api/v1",
"GOODMEMORY_EMBEDDING_MODEL": "text-embedding-3-small",
"GOODMEMORY_EMBEDDING_PROVIDER": "openai",
"GOODMEMORY_RERANKING_BASE_URL": "https://ai.gurkiai.com/v1",
"GOODMEMORY_RERANKING_MODEL": "gpt-5.6-terra",
"GOODMEMORY_RERANKING_PROVIDER": "openai"
}
},
"exitCode": 0,
"extractionCache": {
"bytes": 2620181,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/seed-attempt-1-extraction-cache.jsonl",
"sha256": "839b2d202e71b56c41862b36beeae937ca986180f2371693a63267e4eccbb398"
},
"failedCaseId": null,
"progress": {
"bytes": 1037246,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/seed-attempt-1-live-progress.jsonl",
"sha256": "4c57ac5533093fc8b0c075f967602ccf04813c36a55e4e65f92e9541143f6085"
},
"recoveryClassification": "failure-free",
"report": {
"bytes": 1692740,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/seed-attempt-1-smoke-report.json",
"sha256": "d93902f6fe6f5906cbbe115ee4b0ae224c323e4f6636a0a0abd4795ce728aede"
}
}
],
"sentinelCommit": "078ca74ac45fe4bd268e52921528e1e15a0ec52f",
"schemaVersion": 1,
"sourceArtifacts": [
{
"bytes": 5370,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/claim-recipe-source.json",
"sha256": "9ef00e9e1532a264a97cacf3a1807345acce68194ad65e2b016ed6a48602b6d3",
"kind": "claim-recipe-source"
},
{
"bytes": 1692740,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/seed-attempt-1-smoke-report.json",
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"kind": "seed-attempt-1-report"
},
{
"bytes": 1037246,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/seed-attempt-1-live-progress.jsonl",
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"kind": "seed-attempt-1-progress"
},
{
"bytes": 2620181,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/seed-attempt-1-extraction-cache.jsonl",
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"kind": "seed-attempt-1-extraction-cache"
},
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"bytes": 1692740,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/seed-smoke-report.json",
"sha256": "d93902f6fe6f5906cbbe115ee4b0ae224c323e4f6636a0a0abd4795ce728aede",
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},
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"bytes": 1037246,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/seed-live-progress.jsonl",
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"kind": "seed-progress"
},
{
"bytes": 2620181,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/seed-extraction-cache.jsonl",
"sha256": "839b2d202e71b56c41862b36beeae937ca986180f2371693a63267e4eccbb398",
"kind": "seed-extraction-cache"
},
{
"bytes": 1748581,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/final-smoke-report.json",
"sha256": "b100e9c737b51e8de53be1cdb04d3c27d7ecf0507fde383cd9b61708061c3948",
"kind": "final-report"
},
{
"bytes": 2143,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/official-rescore-summary.json",
"sha256": "6c8aa3e72c7a15765c18375e0586d14651b4ef7e07ecc75abd22be1d384f7e10",
"kind": "official-summary"
},
{
"bytes": 68403,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/official-progress.jsonl",
"sha256": "ac847f3ce5a8c9c92773465351454622236303365906bce54ffe58db8cf8be31",
"kind": "official-progress"
},
{
"bytes": 75985,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/official-runner-source.ts",
"sha256": "cfa618e1929d56dc256962f471768a3855a8989b92c22cce4f09bd8112ebe24f",
"kind": "official-runner-source"
},
{
"bytes": 14633,
"path": "reports/release/v0.7/v0.7.3-locomo-claim-evidence/execution-receipt.json",
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"kind": "execution-receipt"
},
{
"bytes": 1129,
"path": "reports/release/v0.7/v0.7.3-full-claim-protocol2-preregistration.json",
"sha256": "a1b029d11e3f79991d6dc1959df1c6641092a19f290a3a5b1a4e65f4c4d54644",
"kind": "protocol-preregistration"
},
{
"bytes": 440,
"path": "reports/release/v0.7/v0.7.3-full-claim-protocol2-attempt-consumed.json",
"sha256": "6e7ec637ae189aa7a51bd70696789e768a15e73c66e27251db111644aea898b8",
"kind": "protocol-attempt-sentinel"
}
]
}
+1
dist/bin/chunk-04bthn8p.js
import{Ua as a,Va as b,Wa as c}from"./chunk-ja7rc94g.js";import"./chunk-692tsf9n.js";export{c as createSQLiteVectorStore,b as createSQLiteSessionStore,a as createSQLiteDocumentStore};
+2
dist/bin/chunk-4wmnge2y.js
import{readFileSync as Y}from"node:fs";var Z=new URL("../../package.json",import.meta.url),$="0.7.3",z=new URL("../../benchmark-claims/evidence/locomo-v0.7.3-current.json",import.meta.url),B;function G(){if(B)return B;let h=JSON.parse(Y(Z,"utf8")),b=h.goodmemoryRelease;if(typeof h.version!=="string"||h.version.length===0||typeof b?.installCommandsApplyAfterPublish!=="boolean"||typeof b.npmDistTag!=="string"||b.npmDistTag.length===0||b.status!=="release-candidate"&&b.status!=="stable")throw Error("Unable to read GoodMemory package release metadata.");return B={goodmemoryRelease:{installCommandsApplyAfterPublish:b.installCommandsApplyAfterPublish,npmDistTag:b.npmDistTag,status:b.status},version:h.version},B}function X(h){return typeof h==="object"&&h!==null&&!Array.isArray(h)}function K(h){let b;try{b=JSON.parse(Y(z,"utf8"))}catch(x){throw Error(`Stable ${h} requires ${z.pathname}: ${String(x)}`)}if(!X(b)||b.artifactKind!=="tracked-current-claim-projection"||b.benchmark!=="LoCoMo"||b.schemaVersion!==1||!X(b.claim)||b.claim.packageVersion!==h||!X(b.descriptorClaim))throw Error(`Stable ${h} claim projection is invalid: ${z.pathname}`);let q=b.descriptorClaim;if(["name","config","metric","result","reference","claimDeclaration","runtimeProfile","measuredPackageVersion"].some((x)=>typeof q[x]!=="string"||q[x].trim().length===0)||q.name!=="LoCoMo"||q.measuredPackageVersion!==h||q.claimDeclaration!=="benchmark-claims/locomo.json"||q.reference!=="benchmark-claims/evidence/locomo-v0.7.3-current.json")throw Error(`Stable ${h} descriptor claim is invalid: ${z.pathname}`);return q}var w="https://github.com/hjqcan/GoodMemory",Q="https://goodmemory.vibenest.net";function y(h={}){let b=h.packageMetadata??G(),q=h.version??b.version,W=b.goodmemoryRelease.status==="stable"&&q===$?[K(q)]:[];return{schemaVersion:"goodmemory.capability/v2",name:"goodmemory",version:q,kind:"memory-layer",summary:"Durable user/project memory layer for chat apps, copilots, and coding agents.",description:"GoodMemory is the product memory layer between an app or installed agent host and the model runtime: write selected facts, recall the right context, inject it into the next turn, audit what happened, and delete it when it is wrong.",notA:["llm","agent-framework","vector-database","rag-system"],license:"MIT",homepage:`${w}#readme`,repository:w,documentation:{inspector:`${w}/blob/main/docs/GoodMemory-Inspector-and-Admin-API.md`,llmsTxt:`${w}/blob/main/llms.txt`,readme:`${w}#readme`,quickstart:`${w}#quickstart-codex-or-claude-code-memory`},install:{npmGlobal:`npm install -g goodmemory@${q}`,npmPackage:`npm install goodmemory@${q}`,bun:`bun add goodmemory@${q}`},releaseStatus:{...b.goodmemoryRelease,tarball:`goodmemory-${q}.tgz`},memoryApi:["remember","recall","buildContext","feedback","forget","exportMemory","deleteAllMemory"],onboarding:[{audience:"installed-coding-agent-host",when:"You are, or run inside, Claude Code or Codex.",method:"cli",steps:[`npm install -g goodmemory@${q}`,"goodmemory setup","goodmemory status"],autoDetect:"goodmemory adopt",docs:`${w}#quickstart-codex-or-claude-code-memory`},{audience:"kimi-code-plugin",when:"You run Kimi Code and want local, scoped cross-session project memory.",method:"plugin",install:`/plugins install ${w}`,runtimeRequirements:["Node.js >=20","Bun >=1.3.14","npx"],writeBoundary:"goodmemory_remember is exposed at install; Kimi Code approval still governs each unapproved MCP call",docs:`${w}/blob/main/docs/GoodMemory-Kimi-Code-Setup-Guide.md`},{audience:"mcp-client",when:"You speak the Model Context Protocol (Cursor, Windsurf, Cline, Claude Desktop, Gemini CLI, OpenCode, or a custom MCP client).",method:"mcp",mcpServer:{command:"goodmemory-mcp",args:["--standalone","--user-id","YOUR_USER_ID"]},autoDetect:"goodmemory adopt",docs:`${w}#standalone-mcp-for-any-client`},{audience:"framework-agent-or-backend",when:"You are a framework agent (LangGraph, custom loop) or a backend that calls memory as an HTTP service.",method:"http",endpoint:Q,selfHost:"goodmemory-http-bridge --recommended OR GOODMEMORY_PROFILE=agent-recommended goodmemory-http-bridge",pythonClient:"pip install goodmemory-client",docs:`${w}#pythonfastapi-http-bridge`}],mcp:{command:"goodmemory-mcp",standaloneArgs:["--standalone","--user-id","YOUR_USER_ID"],primaryTools:["goodmemory_get_context","goodmemory_remember"],readOnlyToolCount:8,writeTool:"goodmemory_remember (opt-in via --allow-write)",registryName:"io.github.hjqcan/goodmemory",docs:`${w}#standalone-mcp-for-any-client`},http:{hosted:Q,liveness:`${Q}/healthz`,wellKnown:`${Q}/.well-known/goodmemory.json`,auth:"bearer-token",selfHost:"goodmemory-http-bridge --recommended OR GOODMEMORY_PROFILE=agent-recommended goodmemory-http-bridge",endpoints:{recall:"POST /memory/recall-context",remember:"POST /memory/remember",feedback:"POST /memory/feedback",export:"POST /memory/export",forget:"POST /memory/forget",revise:"POST /memory/revise"},pythonClient:"goodmemory-client (PyPI)",docs:`${w}#pythonfastapi-http-bridge`},benchmarks:{currentClaims:W,historicalEvidence:{url:`${w}/tree/main/benchmark-claims`,note:`The v0.6.0 LoCoMo, BEAM, and MemoryAgentBench results, plus older LongMemEval and ImplicitMemBench runs, remain reproducible versioned evidence. ${W.length===0?`None is a current ${q} production claim until rerun against this package line.`:"The current LoCoMo claim is loaded only from the tracked v0.7.3 projection."} LongMemEval and ImplicitMemBench remain internal evidence.`}},capabilities:{localFirst:!0,embeddingFreeDefault:!0,builtInLanguagePacks:["en","zh-Hans","zh-Hant","ja","ko","fr","es"],durableStore:"sqlite (default), postgres (opt-in)",audit:!0,deletion:!0,localInspector:"goodmemory inspector serve (loopback-only React console and /admin/v1 API)",correctByDefaultRecall:"Recall never silently degrades: a downgraded strategy carries routing.warnings (semantic_recall_inactive) and routing.warningMessages (semantic recall inactive — set strategy:hybrid + RETRIEVAL_PRESET) instead of quietly returning the lexical floor."},canonicalSources:{prose:`${w}#readme`,benchmarks:`${w}/tree/main/benchmark-claims`,note:"Benchmark entries keep explicit measuredPackageVersion provenance; a package version bump never relabels historical results. Source declarations remain in benchmark-claims/*.json."}}}
export{y as a};
+2
dist/bin/chunk-692tsf9n.js
import{createRequire as p}from"node:module";var D=p(import.meta.url);function c(e){if(e===void 0)return;let t=e.trim();return t.length>0?t:void 0}function s(e){let t=e.userId.trim();if(t.length===0)throw Error("MemoryScope requires a non-empty userId");return{userId:t,tenantId:c(e.tenantId),workspaceId:c(e.workspaceId),agentId:c(e.agentId),sessionId:c(e.sessionId)}}function g(e){let t=s(e);return[t.userId,t.tenantId??"",t.workspaceId??"",t.agentId??"",t.sessionId??""].join("::")}function x(e){let t=s(e);return[t.userId,t.tenantId??"",t.workspaceId??"",t.agentId??"",t.sessionId].map((o)=>o??"").join("::")}function h(e,t){return g(e)===g(t)}function I(e,t){let o=s(e),n=s(t);return o.userId===n.userId&&o.tenantId===n.tenantId&&o.workspaceId===n.workspaceId&&o.agentId===n.agentId}var b="unchanged-delete-v1";function P(e){return e.projectionBatchSemantics==="unchanged-delete-v1"&&typeof e.writeBatchIfUnchanged==="function"}function M(e){if(!Number.isSafeInteger(e.limit)||e.limit<=0)throw Error("Document query page limit must be a positive integer.");d(e.filter)}function w(e){if(e.field.trim().length===0)throw Error("Document text search field must be non-empty.");if(!Number.isSafeInteger(e.limit)||e.limit<=0)throw Error("Document text search limit must be a positive integer.");d(e.filter)}function d(e){for(let t of Object.values(e??{}))if(t!==null&&typeof t!=="boolean"&&typeof t!=="string"&&(typeof t!=="number"||!Number.isFinite(t)))throw Error("Storage filters only support scalar equality values.")}function B(e,t){if(!t)return!0;let o=e;return Object.entries(t).every(([n,r])=>o[n]===r)}function k(e,t){return{...e,...t}}var f=/[\p{L}\p{N}]+/gu;function u(e){return(e.normalize("NFKC").toLowerCase().match(f)??[]).filter((t)=>t.length>0)}function R(e){return[...new Set(u(e))].map((t)=>`"${t.replaceAll('"','""')}"`).join(" OR ")}function C(e){let t=[...new Set(u(e))];return{substrings:t.map((o)=>`%${o}%`),tsQuery:t.join(" | ")}}function j(e,t){let o=e[t];return typeof o==="string"?o:void 0}function E(e,t){let o=[...new Set(u(e))];if(o.length===0)return 0;let n=u(t),r=new Map;for(let i of n)r.set(i,(r.get(i)??0)+1);let a=0,m=0;for(let i of o){let l=r.get(i)??0;if(l>0)a+=1,m+=l}if(a===0)return 0;return a/o.length+m/Math.max(1,n.length)}
export{D as Xa,s as Ya,g as Za,x as _a,h as $a,I as ab,b as bb,P as cb,M as db,w as eb,d as fb,B as gb,k as hb,u as ib,R as jb,C as kb,j as lb,E as mb};
dist/bin/chunk-8zdrt99e.js

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dist/bin/chunk-dghzpnkh.js

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+247
dist/bin/chunk-ja7rc94g.js
import{Za as b,_a as QG,bb as DG,db as qG,eb as kG,fb as CG,gb as YG,hb as EG,ib as PG,jb as RG,lb as ZG}from"./chunk-692tsf9n.js";import{Database as VG}from"bun:sqlite";import{Buffer as bG}from"node:buffer";import{mkdirSync as pG}from"node:fs";import{dirname as uG}from"node:path";import{spawnSync as NG}from"node:child_process";import{existsSync as yG}from"node:fs";import*as wG from"sqlite-vss";var t="vss_inner_product",HG=Symbol.for("goodmemory.sqlite.library-registry"),SG=["/opt/homebrew/opt/sqlite/lib/libsqlite3.dylib","/usr/local/opt/sqlite/lib/libsqlite3.dylib","/usr/lib/x86_64-linux-gnu/libsqlite3.so","/usr/lib/aarch64-linux-gnu/libsqlite3.so","/usr/lib64/libsqlite3.so","/usr/lib/libsqlite3.so"],gG=`
import { Database } from "bun:sqlite";
const [customLibraryPath, vectorPath, vssPath] = process.argv.slice(1);
if (!customLibraryPath || !vectorPath || !vssPath) {
throw new Error("Missing sqlite-vss probe paths.");
}
Database.setCustomSQLite(customLibraryPath);
const database = new Database(":memory:", { strict: true });
try {
database.loadExtension(vectorPath);
database.loadExtension(vssPath);
database.query("select vss_version() as version").get();
database.exec(
"CREATE VIRTUAL TABLE __goodmemory_vss_probe USING vss0(embedding(3)); DROP TABLE __goodmemory_vss_probe;",
);
} finally {
database.close();
}
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CREATE TABLE IF NOT EXISTS documents (
collection TEXT NOT NULL,
id TEXT NOT NULL,
json TEXT NOT NULL,
PRIMARY KEY (collection, id)
);
CREATE VIRTUAL TABLE IF NOT EXISTS document_text_fts USING fts5(
collection UNINDEXED,
id UNINDEXED,
text,
searchText,
tokenize = 'unicode61 remove_diacritics 2'
);
CREATE TABLE IF NOT EXISTS document_text_fts_keys (
rowid INTEGER PRIMARY KEY,
collection TEXT NOT NULL,
id TEXT NOT NULL,
UNIQUE (collection, id)
);
CREATE TABLE IF NOT EXISTS document_store_schema (
component TEXT PRIMARY KEY,
version INTEGER NOT NULL
);
`);try{G.exec("BEGIN IMMEDIATE");let Y=G.query("SELECT version FROM document_store_schema WHERE component = ?1");if(Y.get(UG)?.version!==zG)G.exec(`
DROP TABLE document_text_fts;
CREATE VIRTUAL TABLE document_text_fts USING fts5(
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id UNINDEXED,
text,
searchText,
tokenize = 'unicode61 remove_diacritics 2'
);
DELETE FROM document_text_fts_keys;
INSERT INTO document_text_fts_keys (collection, id)
SELECT collection, id
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WHERE CASE WHEN json_valid(json)
THEN json_type(json, '$.text') = 'text' OR
json_type(json, '$.searchText') = 'text'
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END;
INSERT INTO document_text_fts (
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collection,
id,
text,
searchText
)
SELECT keys.rowid, documents.collection, documents.id,
CASE WHEN json_type(documents.json, '$.text') = 'text'
THEN json_extract(documents.json, '$.text')
END,
CASE WHEN json_type(documents.json, '$.searchText') = 'text'
THEN json_extract(documents.json, '$.searchText')
END
FROM documents
JOIN document_text_fts_keys AS keys
ON keys.collection = documents.collection AND keys.id = documents.id;
`),G.query(`INSERT INTO document_store_schema (component, version)
VALUES (?1, ?2)
ON CONFLICT(component) DO UPDATE SET version = excluded.version`).run(UG,zG);if(Y.get(OG)?.version!==_G)G.exec(`
DROP INDEX IF EXISTS documents_collection_scope_key_idx;
DROP INDEX IF EXISTS documents_collection_memory_id_idx;
DROP INDEX IF EXISTS documents_collection_source_memory_id_idx;
DROP INDEX IF EXISTS documents_collection_claim_group_idx;
CREATE INDEX documents_collection_scope_key_idx
ON documents (collection, json_extract(json, '$.scopeKey'))
WHERE json_valid(json);
CREATE INDEX documents_collection_memory_id_idx
ON documents (collection, json_extract(json, '$.memoryId'))
WHERE json_valid(json);
CREATE INDEX documents_collection_source_memory_id_idx
ON documents (collection, json_extract(json, '$.sourceMemoryId'))
WHERE json_valid(json);
CREATE INDEX documents_collection_claim_group_idx
ON documents (
collection,
json_extract(json, '$.scopeKey'),
json_extract(json, '$.subjectEntityId'),
json_extract(json, '$.predicateKey')
)
WHERE json_valid(json);
`),G.query(`INSERT INTO document_store_schema (component, version)
VALUES (?1, ?2)
ON CONFLICT(component) DO UPDATE SET version = excluded.version`).run(OG,_G);G.exec("COMMIT")}catch(Y){try{G.exec("ROLLBACK")}catch{}throw Y}}function lG(G){G.exec(`
CREATE TABLE IF NOT EXISTS session_buffers (
scope_key TEXT PRIMARY KEY,
json TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS session_working_memory (
scope_key TEXT PRIMARY KEY,
json TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS session_journals (
scope_key TEXT PRIMARY KEY,
json TEXT NOT NULL
);
`)}function sG(G){G.exec(`
CREATE TABLE IF NOT EXISTS vectors (
collection TEXT NOT NULL,
id TEXT NOT NULL,
embedding_json TEXT NOT NULL,
metadata_json TEXT NOT NULL,
content TEXT NOT NULL,
PRIMARY KEY (collection, id)
);
CREATE TABLE IF NOT EXISTS vector_index_state (
table_name TEXT PRIMARY KEY,
collection TEXT NOT NULL,
dimension INTEGER NOT NULL,
dirty INTEGER NOT NULL
);
`)}function V(G){return JSON.parse(G)}function g(G,Y){let Z=G.query("SELECT name FROM sqlite_master WHERE type = 'table' AND name = ?1").get(Y);return Z!==null&&Z!==void 0}function oG(G,Y,Z){let H=Y.replaceAll('"','""');return G.query(`PRAGMA table_info("${H}")`).all().some(({name:X})=>X===Z)}function f(G){return Error(`SQLite ${G} store is read-only in this context.`)}function iG(G,Y){let Z=Math.min(G.length,Y.length),H=0;for(let X=0;X<Z;X+=1)H+=G[X]*Y[X];return H}function nG(G){return G===null||typeof G==="string"||typeof G==="number"||typeof G==="boolean"}function aG(G){switch(G){case"memoryId":return"$.memoryId";case"predicateKey":return"$.predicateKey";case"scopeKey":return"$.scopeKey";case"sourceMemoryId":return"$.sourceMemoryId";case"subjectEntityId":return"$.subjectEntityId";default:return}}function n(G,Y){G.exec("BEGIN IMMEDIATE");try{let Z=Y();return G.exec("COMMIT"),Z}catch(Z){try{G.exec("ROLLBACK")}catch{}throw Z}}function KG(G){let{alias:Y,keyParameterIndex:Z,value:H,valueParameterIndex:X}=G,F=`EXISTS (
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text,
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WHERE document_text_fts.${T} MATCH ?1
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${D.length>0?`AND ${D.join(" AND ")}`:""}
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WHERE documents.collection = ?1
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${u.length>0?`AND ${u.join(" AND ")}`:""}
ORDER BY documents.id ASC
LIMIT ?${z.length}`}return Z.query(R).all(...z).map((D)=>({document:V(D.json),id:D.id,score:Math.max(Number.EPSILON,Math.abs(Number(D.score)))}))},async writeBatchIfUnchanged(J){if(Y?.readOnly)throw f("document");return l(J)},async delete(J,$){n(Z,()=>{x(J,$),W.run(J,$)})}}}function GG(G,Y,Z){if(Z?.readOnly&&!g(G,Y))return{async set(){throw f("session")},async get(){return null},async setIfUnchanged(){throw f("session")},async deleteIfUnchanged(){throw f("session")},async deleteByScope(){throw f("session")}};let H=G.query(`INSERT INTO ${Y} (scope_key, json)
VALUES (?1, ?2)
ON CONFLICT(scope_key) DO UPDATE SET json = excluded.json`),X=G.query(`SELECT json FROM ${Y} WHERE scope_key = ?1`),F=G.query(`INSERT INTO ${Y} (scope_key, json)
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ON CONFLICT(scope_key) DO NOTHING`),W=G.query(`UPDATE ${Y}
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metadata_json,
content
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dimension = excluded.dimension,
dirty = 0`);function O(){if(E)return E;let j=(Z?.loadVectorExtension??AG)(X,W);return E=j&&typeof j==="object"&&"loaded"in j?j:{loaded:X.mode!=="off"&&Boolean(X.paths?.length)},E}function z(){return X.backend==="sqlite-vss"&&O().loaded}function R(j,K){let B=FG(j,K);J.run(B,j,K)}function T(j){$.run(j.tableName,j.collection,j.dimension)}function D(j){if(!j.existed)return!0;let K=l.get(j.tableName);return!K||K.dirty!==0}function w(j){return l?.get(j)?.dirty===0}function u(j,K,B){let _=N.all(j).filter((C)=>{return V(C.embedding_json).length===K}),q=new Set(_.map((C)=>C.rowid)),k=W.query(`SELECT rowid FROM ${c(B)}`).all();for(let C of k)if(!q.has(C.rowid))i(W,B,C.rowid);for(let C of _)MG({database:W,embeddingJson:C.embedding_json,rowid:C.rowid,tableName:B});T({collection:j,dimension:K,tableName:B})}function v(j,K){if(!z())return null;let B=FG(j,K);if(M.has(B)){if(Y?.readOnly){if(!w(B))return M.delete(B),null;return B}if(D({existed:!0,tableName:B}))u(j,K,B);return B}if(Y?.readOnly){if(!g(W,B))return null;if(!w(B))return null;return M.add(B),B}let _=g(W,B);if(W.exec(`CREATE VIRTUAL TABLE IF NOT EXISTS ${c(B)}
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FROM ${c(C)}
WHERE vss_search(embedding, vss_search_params(json(?1), ?2))`).all(s,y),S=[];for(let WG of h){let r=x.get(K,WG.rowid);if(!r)continue;let LG=V(r.embedding_json),XG=V(r.metadata_json);if(!YG(XG,B))continue;S.push({id:r.id,embedding:LG,metadata:XG,content:r.content,score:1/(1+Number(WG.distance))})}if(!B||S.length>=q||y>=L)return S.slice(0,q);y=Math.min(L,y*2)}return[]}return{async upsert(j,K){if(Y?.readOnly)throw f("vector");W.transaction((_)=>{let q=z();for(let k of _){let C=I.get(j,k.id),L=C?V(C.embedding_json).length:null,s=JSON.stringify(k.embedding);if(P.run(j,k.id,s,JSON.stringify(k.metadata),k.content),!q){if(C&&L!==null&&L!==k.embedding.length)R(j,L);R(j,k.embedding.length);continue}let y=I.get(j,k.id);if(!y)continue;if(C&&L!==null&&L!==k.embedding.length){let S=v(j,L);if(S)i(W,S,C.rowid)}let h=v(j,k.embedding.length);if(!h)continue;MG({database:W,embeddingJson:s,rowid:y.rowid,tableName:h})}})(K)},async get(j,K){if(!A)return null;let B=U.get(j,K);if(!B)return null;return{id:B.id,embedding:V(B.embedding_json),metadata:V(B.metadata_json),content:B.content}},async search(j,K,B){if(B.topK<=0||K.length===0)return[];if(!A)return[];if(X.mode!=="off"&&X.paths?.length&&O().loaded)try{let _=X.backend==="sqlite-vss"?IG({collection:j,filter:B.filter,queryEmbedding:K,topK:B.topK}):(Z?.runExtensionSearch??eG)({collection:j,config:X,database:W,filter:B.filter,queryEmbedding:K,topK:B.topK});if(_!==null)return _;if(X.mode==="require")throw Error("SQLite vector extension search could not satisfy the current query without durable fallback.")}catch(_){if(X.mode==="require"){let q=_ instanceof Error?_.message:String(_);throw Error(`Failed to execute SQLite vector extension search for ${j}: ${q}`)}}return Q.all(j).map((_)=>{let q=V(_.embedding_json),k=V(_.metadata_json);return{id:_.id,embedding:q,metadata:k,content:_.content,score:iG(q,K)}}).filter((_)=>YG(_.metadata,B.filter)).sort((_,q)=>{if(q.score!==_.score)return q.score-_.score;return _.id.localeCompare(q.id)}).slice(0,B.topK)},async delete(j,K){if(Y?.readOnly)throw f("vector");W.transaction(()=>{let _=I.get(j,K),q=z();if(_&&q){let k=V(_.embedding_json).length,C=v(j,k);if(C)i(W,C,_.rowid)}if(_&&!q){let k=V(_.embedding_json).length;R(j,k)}d.run(j,K)})()}}}
export{OY as Ua,UY as Va,zY as Wa};
+1
dist/bin/chunk-sq0g30r5.js
import{Ma as a,Na as b,Oa as c,Pa as d,Qa as e,Ra as f,Sa as g,Ta as h}from"./chunk-xgd5q2c0.js";import"./chunk-692tsf9n.js";export{g as probeReadOnlyPostgresStorageBackend,e as migratePostgresStorageBackend,d as getPostgresVectorExtensionStatus,f as ensurePostgresStorageBackend,c as createPostgresVectorStore,b as createPostgresSessionStore,a as createPostgresDocumentStore,h as canBootstrapPostgresStorageBackend};
+307
dist/bin/chunk-xgd5q2c0.js
import{Za as M,_a as g,bb as x,db as f,eb as v,ib as d,kb as p}from"./chunk-692tsf9n.js";import{SQL as u}from"bun";var m="public",s="gm",C="gm_documents",S="gm_session_state",r="gm_storage_schema",N="document_indexes",V=1,o=/^[A-Za-z_][A-Za-z0-9_]*$/,i=[{method:"btree",methodAndKey:"USING btree (collection)",name:"gm_documents_collection_idx"},{method:"gin",methodAndKey:"USING gin (document)",name:"gm_documents_document_gin_idx"},{method:"gin",methodAndKey:"USING gin (to_tsvector('simple', COALESCE((document ->> 'text'), '')))",name:"gm_documents_text_search_idx"},{method:"gin",methodAndKey:"USING gin (to_tsvector('simple', COALESCE((document ->> 'searchText'), '')))",name:"gm_documents_search_text_search_idx"}],b=new Map;function l(G){let J=G.trim();if(J.length===0)throw Error("Postgres storage requires a non-empty url");return J}function T(G,J){if(!o.test(G))throw Error(`Invalid Postgres ${J}: ${G}. Use only letters, digits, and underscores, and start with a letter or underscore.`);return G}function j(G){return`"${G}"`}function B(G,J){return`${j(G)}.${j(J)}`}function c(G){return JSON.stringify(G)}function D(G){return c(G)}function z(G){if(typeof G!=="string")return G;let J=JSON.parse(G);if(typeof J!=="string")return J;try{return JSON.parse(J)}catch{return J}}function n(G){return Boolean(G&&Object.keys(G).length>0)}function A(G,J,F){if(!n(J))return"";return F.push(D(J)),` AND ${G} @> $${F.length}::text::jsonb`}function t(G){if(G.some((J)=>!Number.isFinite(J)))throw Error("Postgres vector embeddings must contain only finite numbers");return`{${G.join(",")}}`}function e(G){if(G.some((J)=>!Number.isFinite(J)))throw Error("Postgres vector embeddings must contain only finite numbers");return`[${G.join(",")}]`}function k(G){let J=null;return async()=>{if(!J)J=G().catch((F)=>{throw J=null,F});await J}}function I(G){return Error(`Postgres ${G} store is read-only in this context.`)}async function y(G,J){let F=await G.unsafe("SELECT to_regclass($1)::text AS oid",[J]);return F[0]?.oid!==null&&F[0]?.oid!==void 0}function R(G){let J=l(G.url),F=T(G.schema??m,"schema"),O=T(G.vectorTablePrefix??s,"vectorTablePrefix"),H=`${O}_vectors`,U=c({url:J,schema:F,vectorTablePrefix:O}),Q=b.get(U);if(Q)return Q;let W=new u(J,{prepare:!1}),X=j(F),_=B(F,C),$=B(F,S),Y=B(F,H),K=`${F}.${C}`,Z=`${F}.${S}`,E=`${F}.${H}`,P=k(async()=>{await W.unsafe(`CREATE SCHEMA IF NOT EXISTS ${X}`)}),L={sql:W,schema:F,documentTable:_,sessionStateTable:$,vectorTable:Y,hasDocumentStore:()=>y(W,K),hasSessionStore:()=>y(W,Z),hasVectorStore:()=>y(W,E),ensureDocumentStore:k(async()=>{await P(),await W.unsafe(`
CREATE TABLE IF NOT EXISTS ${_} (
collection TEXT NOT NULL,
id TEXT NOT NULL,
document JSONB NOT NULL,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
PRIMARY KEY (collection, id)
)
`)}),ensureSessionStore:k(async()=>{await P(),await W.unsafe(`
CREATE TABLE IF NOT EXISTS ${$} (
scope_key TEXT NOT NULL,
state_kind TEXT NOT NULL,
payload JSONB NOT NULL,
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
PRIMARY KEY (scope_key, state_kind)
)
`)}),ensureVectorStore:k(async()=>{await P(),await W.unsafe("CREATE EXTENSION IF NOT EXISTS vector"),await W.unsafe(`
CREATE TABLE IF NOT EXISTS ${Y} (
collection TEXT NOT NULL,
id TEXT NOT NULL,
embedding DOUBLE PRECISION[] NOT NULL,
metadata JSONB NOT NULL,
content TEXT NOT NULL,
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
PRIMARY KEY (collection, id)
)
`),await W.unsafe(`
CREATE INDEX IF NOT EXISTS ${j(`${H}_collection_idx`)}
ON ${Y} (collection)
`),await W.unsafe(`
CREATE INDEX IF NOT EXISTS ${j(`${H}_metadata_gin_idx`)}
ON ${Y} USING GIN (metadata)
`)})};return b.set(U,L),L}function q(G,J,F){return{async set(O,H){if(F?.readOnly)throw I("session");await G.ensureSessionStore(),await G.sql.unsafe(`
INSERT INTO ${G.sessionStateTable} (
scope_key,
state_kind,
payload,
updated_at
) VALUES (
$1,
$2,
$3::text::jsonb,
NOW()
)
ON CONFLICT (scope_key, state_kind)
DO UPDATE SET
payload = EXCLUDED.payload,
updated_at = EXCLUDED.updated_at
`,[M(O),J,D(H)])},async setIfUnchanged(O,H,U){if(F?.readOnly)throw I("session");await G.ensureSessionStore();let Q=M(O);return(H===null?await G.sql.unsafe(`
INSERT INTO ${G.sessionStateTable} (
scope_key,
state_kind,
payload,
updated_at
) VALUES (
$1,
$2,
$3::text::jsonb,
NOW()
)
ON CONFLICT (scope_key, state_kind) DO NOTHING
RETURNING 1 AS count
`,[Q,J,D(U)]):await G.sql.unsafe(`
UPDATE ${G.sessionStateTable}
SET
payload = $3::text::jsonb,
updated_at = NOW()
WHERE scope_key = $1
AND state_kind = $2
AND payload = $4::text::jsonb
RETURNING 1 AS count
`,[Q,J,D(U),D(H)])).length===1},async get(O){if(F?.readOnly&&!await G.hasSessionStore())return null;if(!F?.readOnly)await G.ensureSessionStore();let U=(await G.sql.unsafe(`
SELECT payload::text AS payload_json
FROM ${G.sessionStateTable}
WHERE scope_key = $1 AND state_kind = $2
`,[M(O),J]))[0];return U?z(U.payload_json):null},async deleteIfUnchanged(O,H){if(F?.readOnly)throw I("session");return await G.ensureSessionStore(),(await G.sql.unsafe(`
DELETE FROM ${G.sessionStateTable}
WHERE scope_key = $1
AND state_kind = $2
AND payload = $3::text::jsonb
RETURNING 1 AS count
`,[M(O),J,D(H)])).length===1},async deleteByScope(O){if(F?.readOnly)throw I("session");if(await G.ensureSessionStore(),O.sessionId!==void 0)return(await G.sql.unsafe(`
DELETE FROM ${G.sessionStateTable}
WHERE scope_key = $1 AND state_kind = $2
RETURNING 1 AS count
`,[M(O),J])).length;return(await G.sql.unsafe(`
DELETE FROM ${G.sessionStateTable}
WHERE scope_key LIKE $1 AND state_kind = $2
RETURNING 1 AS count
`,[`${g(O)}%`,J])).length}}}function XF(G,J){let F=R(G);return{projectionBatchSemantics:x,async set(O,H,U){if(J?.readOnly)throw I("document");await F.ensureDocumentStore(),await F.sql.unsafe(`
INSERT INTO ${F.documentTable} (
collection,
id,
document,
created_at,
updated_at
) VALUES (
$1,
$2,
$3::text::jsonb,
NOW(),
NOW()
)
ON CONFLICT (collection, id)
DO UPDATE SET
document = EXCLUDED.document,
updated_at = EXCLUDED.updated_at
`,[O,H,D(U)])},async get(O,H){if(J?.readOnly&&!await F.hasDocumentStore())return null;if(!J?.readOnly)await F.ensureDocumentStore();let Q=(await F.sql.unsafe(`
SELECT document::text AS document_json
FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
`,[O,H]))[0];return Q?z(Q.document_json):null},async update(O,H,U){if(J?.readOnly)throw I("document");if(await F.ensureDocumentStore(),(await F.sql.unsafe(`
UPDATE ${F.documentTable}
SET
document = document || $3::text::jsonb,
updated_at = NOW()
WHERE collection = $1 AND id = $2
RETURNING id
`,[O,H,D(U)])).length===0)throw Error(`Document not found for update: ${O}/${H}`)},async query(O,H){if(J?.readOnly&&!await F.hasDocumentStore())return[];if(!J?.readOnly)await F.ensureDocumentStore();let U=[O],Q=A("document",H,U);return(await F.sql.unsafe(`
SELECT document::text AS document_json
FROM ${F.documentTable}
WHERE collection = $1${Q}
ORDER BY id ASC
`,U)).map((X)=>z(X.document_json))},async queryPage(O,H){if(f(H),J?.readOnly&&!await F.hasDocumentStore())return{items:[]};if(!J?.readOnly)await F.ensureDocumentStore();let U=[O],Q=A("document",H.filter,U);U.push(H.cursor??null);let W=U.length;U.push(H.limit+1);let X=U.length,_=await F.sql.unsafe(`
SELECT id, document::text AS document_json
FROM ${F.documentTable}
WHERE collection = $1${Q}
AND ($${W}::text IS NULL OR id > $${W})
ORDER BY id ASC
LIMIT $${X}
`,U),$=_.slice(0,H.limit);return{items:$.map((Y)=>z(Y.document_json)),..._.length>H.limit?{nextCursor:$.at(-1).id}:{}}},async searchText(O,H){if(v(H),d(H.query).length===0)return[];if(J?.readOnly&&!await F.hasDocumentStore())return[];if(!J?.readOnly)await F.ensureDocumentStore();let U=p(H.query),Q=H.field==="text"?"to_tsvector('simple', COALESCE(document ->> 'text', ''))":H.field==="searchText"?"to_tsvector('simple', COALESCE(document ->> 'searchText', ''))":null;if(Q){let Z=[O,U.tsQuery],E=A("document",H.filter,Z);return Z.push(H.limit),(await F.sql.unsafe(`
SELECT
id,
document::text AS document_json,
ts_rank(
${Q},
to_tsquery('simple', $2)
) AS score
FROM ${F.documentTable}
WHERE collection = $1${E}
AND ${Q} @@ to_tsquery('simple', $2)
ORDER BY score DESC, id ASC
LIMIT $${Z.length}
`,Z)).map((L)=>({document:z(L.document_json),id:L.id,score:Number(L.score)}))}let W=[O,H.field,U.tsQuery],X=A("document",H.filter,W),$=U.substrings.map((Z)=>{return W.push(Z),W.length}).map((Z)=>`lower(COALESCE(document ->> $2, '')) LIKE $${Z}`).join(" OR ");W.push(H.limit);let Y=W.length;return(await F.sql.unsafe(`
SELECT
id,
document::text AS document_json,
GREATEST(
ts_rank(
to_tsvector('simple', COALESCE(document ->> $2, '')),
to_tsquery('simple', $3)
),
CASE
WHEN ${$}
THEN 0.1
ELSE 0
END
) AS score
FROM ${F.documentTable}
WHERE collection = $1${X}
AND (
to_tsvector('simple', COALESCE(document ->> $2, ''))
@@ to_tsquery('simple', $3)
OR ${$}
)
ORDER BY score DESC, id ASC
LIMIT $${Y}
`,W)).map((Z)=>({document:z(Z.document_json),id:Z.id,score:Number(Z.score)}))},async writeBatchIfUnchanged(O){if(J?.readOnly)throw I("document");return await F.ensureDocumentStore(),F.sql.begin(async(H)=>{for(let U of[O.expected,...O.unchanged??[]]){await H.unsafe("SELECT pg_advisory_xact_lock(hashtext($1), hashtext($2))",[U.collection,U.id]);let Q=U.document===null?await H.unsafe(`
SELECT id
FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
FOR UPDATE
`,[U.collection,U.id]):await H.unsafe(`
SELECT id
FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
AND document = $3::text::jsonb
FOR UPDATE
`,[U.collection,U.id,D(U.document)]);if(!(U.document===null?Q.length===0:Q.length===1))return!1}for(let U of O.set)await H.unsafe(`
INSERT INTO ${F.documentTable} (
collection,
id,
document,
created_at,
updated_at
) VALUES (
$1,
$2,
$3::text::jsonb,
NOW(),
NOW()
)
ON CONFLICT (collection, id)
DO UPDATE SET
document = EXCLUDED.document,
updated_at = EXCLUDED.updated_at
`,[U.collection,U.id,D(U.document)]);for(let U of O.delete??[])await H.unsafe(`
DELETE FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
`,[U.collection,U.id]);return!0})},async delete(O,H){if(J?.readOnly)throw I("document");await F.ensureDocumentStore(),await F.sql.unsafe(`
DELETE FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
`,[O,H])}}}function YF(G,J){let F=R(G),O=q(F,"buffer",J),H=q(F,"working_memory",J),U=q(F,"journal",J);return{saveBuffer(Q,W){return O.set(Q,W)},saveBufferIfUnchanged(Q,W,X){return O.setIfUnchanged(Q,W,X)},getBuffer(Q){return O.get(Q)},deleteBufferIfUnchanged(Q,W){return O.deleteIfUnchanged(Q,W)},deleteBuffersByScope(Q){return O.deleteByScope(Q)},saveWorkingMemory(Q,W){return H.set(Q,W)},getWorkingMemory(Q){return H.get(Q)},deleteWorkingMemoryByScope(Q){return H.deleteByScope(Q)},saveJournal(Q,W){return U.set(Q,W)},getJournal(Q){return U.get(Q)},deleteJournalsByScope(Q){return U.deleteByScope(Q)}}}function ZF(G,J){let F=R(G);return{async upsert(O,H){if(J?.readOnly)throw I("vector");await F.ensureVectorStore(),await F.sql.begin(async(U)=>{for(let Q of H)await U.unsafe(`
INSERT INTO ${F.vectorTable} (
collection,
id,
embedding,
metadata,
content,
updated_at
) VALUES (
$1,
$2,
$3::double precision[],
$4::text::jsonb,
$5,
NOW()
)
ON CONFLICT (collection, id)
DO UPDATE SET
embedding = EXCLUDED.embedding,
metadata = EXCLUDED.metadata,
content = EXCLUDED.content,
updated_at = EXCLUDED.updated_at
`,[O,Q.id,t(Q.embedding),D(Q.metadata),Q.content])})},async get(O,H){if(J?.readOnly&&!await F.hasVectorStore())return null;if(!J?.readOnly)await F.ensureVectorStore();let Q=(await F.sql.unsafe(`
SELECT
id,
array_to_json(embedding)::text AS embedding_json,
metadata::text AS metadata_json,
content,
0 AS score
FROM ${F.vectorTable}
WHERE collection = $1 AND id = $2
LIMIT 1
`,[O,H]))[0];if(!Q)return null;return{id:Q.id,embedding:z(Q.embedding_json),metadata:z(Q.metadata_json),content:Q.content}},async search(O,H,U){if(U.topK<=0||H.length===0)return[];if(J?.readOnly&&!await F.hasVectorStore())return[];if(!J?.readOnly)await F.ensureVectorStore();let Q=[O],W=A("metadata",U.filter,Q);Q.push(e(H));let X=Q.length;Q.push(U.topK);let _=Q.length;return(await F.sql.unsafe(`
SELECT
id,
array_to_json(embedding)::text AS embedding_json,
metadata::text AS metadata_json,
content,
((embedding::vector <#> $${X}::vector) * -1) AS score
FROM ${F.vectorTable}
WHERE collection = $1${W}
ORDER BY embedding::vector <#> $${X}::vector ASC, id ASC
LIMIT $${_}
`,Q)).map((Y)=>({id:Y.id,embedding:z(Y.embedding_json),metadata:z(Y.metadata_json),content:Y.content,score:Number(Y.score)}))},async delete(O,H){if(J?.readOnly)throw I("vector");await F.ensureVectorStore(),await F.sql.unsafe(`
DELETE FROM ${F.vectorTable}
WHERE collection = $1 AND id = $2
`,[O,H])}}}async function a(G){let F=await R(G).sql.unsafe(`
SELECT
EXISTS (
SELECT 1
FROM pg_extension
WHERE extname = 'vector'
) AS installed,
EXISTS (
SELECT 1
FROM pg_available_extensions
WHERE name = 'vector'
) AS available
`);if(F[0]?.installed)return"installed";if(F[0]?.available)return"available";return"missing"}function FF(G){let J=B(G.schema,r);return{async runExclusive(F){let O=await G.sql.reserve(),H=["goodmemory",G.schema,N].join(":");try{return await O.unsafe("SELECT pg_advisory_lock(hashtextextended($1, 0))",[H]),await F()}finally{try{await O.unsafe("SELECT pg_advisory_unlock(hashtextextended($1, 0))",[H])}finally{O.release()}}},async createDocumentIndex(F){await G.sql.unsafe(F)},ensureDocumentStore:G.ensureDocumentStore,async ensureVersionStore(){await G.sql.unsafe(`
CREATE TABLE IF NOT EXISTS ${J} (
component TEXT PRIMARY KEY,
version INTEGER NOT NULL,
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
)
`)},async getDocumentIndex(F){let H=(await G.sql.unsafe(`
SELECT
pg_get_indexdef(index_relation.oid) AS definition,
index_metadata.indpred IS NOT NULL AS is_partial,
index_metadata.indisready AS is_ready,
index_metadata.indisunique AS is_unique,
index_metadata.indisvalid AS is_valid,
access_method.amname AS method,
table_relation.relname AS table_name,
table_namespace.nspname AS table_schema
FROM pg_class AS index_relation
JOIN pg_namespace AS index_namespace
ON index_namespace.oid = index_relation.relnamespace
JOIN pg_index AS index_metadata
ON index_metadata.indexrelid = index_relation.oid
JOIN pg_class AS table_relation
ON table_relation.oid = index_metadata.indrelid
JOIN pg_namespace AS table_namespace
ON table_namespace.oid = table_relation.relnamespace
JOIN pg_am AS access_method
ON access_method.oid = index_relation.relam
WHERE index_namespace.nspname = $1
AND index_relation.relname = $2
`,[G.schema,F]))[0];return H?{definition:H.definition,isPartial:H.is_partial,isReady:H.is_ready,isUnique:H.is_unique,isValid:H.is_valid,method:H.method,tableName:H.table_name,tableSchema:H.table_schema}:null},async getVersion(){return(await G.sql.unsafe(`
SELECT version
FROM ${J}
WHERE component = $1
`,[N]))[0]?.version??null},async setVersion(F){await G.sql.unsafe(`
INSERT INTO ${J} AS storage_schema (
component,
version,
updated_at
)
VALUES ($1, $2, NOW())
ON CONFLICT (component)
DO UPDATE SET
version = GREATEST(storage_schema.version, EXCLUDED.version),
updated_at = EXCLUDED.updated_at
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dist/chunk-1anktxtv.js
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dist/chunk-1prr29sb.js
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dist/chunk-24n5gj7d.js
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s=i(r.intent.action),o=Vs(r.exported,r.intent,s,r.language),H=Bs(r.exported,r.intent,s,r.language),f=Is(r.exported,s,r.language),E=Q([...o.map((_)=>_.feedback.id),...H.map((_)=>_.pattern.id)]),w=Q([...o.flatMap((_)=>_.feedback.evidence??[]),...H.flatMap((_)=>_.linkedEvidenceIds),...f.map((_)=>_.evidence.id)]),m=H.flatMap((_)=>[_.pattern.rule,_.pattern.why].filter((h)=>Boolean(h)).map((h)=>({languageContext:_.languageContext,text:h}))),$=f.map((_)=>({languageContext:_.languageContext,text:_.evidence.excerpt})),A=[...m,...$],R=_s(A,r.language),B=Ws({action:r.intent.action,journal:r.exported.runtime?.journal,language:r.language,workingMemory:r.exported.runtime?.workingMemory}),W=Q([...m.map(({text:_})=>_),...B]).slice(0,4),K=Nr(r.intent.action),O=E.length>0||w.length>0,P=A.some((_)=>Vr(_,r.language)),S=o[0],Y=S?{languageContext:S.languageContext,text:S.feedback.rule}:A[0],J=D(r.language,s),G=Y?.languageContext??J,F="allow",b=Z(r.language,J,"guidance",Z(r.language,J,"none")),U,l=Pr(r.intent.action),j=S?.policy.applicability.canonicalFirstAction;if(S&&j){if(W.unshift(S.feedback.rule),!Kr(l,j))F="review_required",b=Z(r.language,S.languageContext,"instruction",S.feedback.rule),U=Ns(j,S.feedback.rule,r.language,S.languageContext);else if(W.length>0)F="allow_with_guidance",b=Z(r.language,S.languageContext,"verification",S.feedback.rule)}if(F==="allow"&&O&&K&&(P||R.length>0))if(U=ds(R,r.intent.action,r.language,G),Fs(r.intent.action)&&!U)F="blocked",b=Z(r.language,G,"instruction",Y?.text);else F="review_required",b=Z(r.language,G,"instruction",Y?.text),U??={kind:"warning",message:Y?.text??b};else if(F==="allow"&&W.length>0){F="allow_with_guidance";let _=D(r.language,W[0]);b=Z(r.language,_,"guidance",W[0])}let I=Ps({decision:F,highRisk:K,intent:r.intent,matchedEvidenceIds:w,matchedMemoryIds:E});return{actionId:r.intent.actionId,auditRecorded:!1,decision:F,guidance:W,matchedEvidenceIds:w,matchedMemoryIds:E,policyApplied:I,reason:b,...U?{recommendedFirstStep:U}:{},requiredPreconditions:R}}function Js(r){if(r==="timeout")return"timeout";if(r==="user_corrected")return"user correction";return"failure"}function Us(r){return r==="failure"||r==="timeout"||r==="user_corrected"}function Jr(r){return r.outcome==="success"||r.actionKind==="warning"}function Ys(r){let s=[...r.trace.events].filter((E)=>E.stepIndex>r.firstAction.stepIndex).sort((E,w)=>E.stepIndex-w.stepIndex),o=s.find((E)=>E.correctionOfStepIndex===r.firstAction.stepIndex&&Jr(E)),H=s.find((E)=>Jr(E)),f=o??H;return f?a(f):void 0}function Zs(r){let s=wr(r);if(!s||!Us(s.outcome))return null;return{cue:r.cue,evidenceExcerpt:s.evidenceExcerpt,failureClass:Js(s.outcome),firstAction:a(s),retrievalProfile:"coding_agent",saferAlternative:Ys({firstAction:s,trace:r})}}async function p(r){let s=C(r.memory),o=Zs(r.trace);if(!s?.recordBehavioralOutcome||!o)return{...o?{outcome:o}:{},recorded:!1};return await s.recordBehavioralOutcome({scope:r.scope,cue:o.cue,evidenceExcerpt:o.evidenceExcerpt,failureClass:o.failureClass,firstAction:o.firstAction,saferAlternative:o.saferAlternative,modelInfluence:o.modelInfluence,outcome:o.outcome}),{outcome:o,recorded:!0}}var zr=["memory_index","user_memory","session_memory"],Dr=[...zr,"archive_recap","playbook"];function d(r){return r.trim().replace(/\\/g,"\\\\").replace(/`/g,"\\`").replace(/\t/g,"\\t").replace(/\r\n?/g,`
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g(r.memory).recordHostActionAssessment({assessment:{actionId:r.intent.actionId,actionKind:r.intent.action.kind,actionSummary:u(r.intent.action),attemptId:r.intent.attemptId,decision:r.assessment.decision,guidance:r.assessment.guidance,hostKind:r.intent.hostKind,matchedEvidenceIds:r.assessment.matchedEvidenceIds,matchedMemoryIds:r.assessment.matchedMemoryIds,occurredAt:r.intent.occurredAt,policyApplied:r.assessment.policyApplied,reason:r.assessment.reason,recommendedFirstStepSummary:zs(r.assessment.recommendedFirstStep),requiredPreconditions:r.assessment.requiredPreconditions,runId:r.intent.runId,scope:r.intent.scope,turnId:r.intent.turnId}});return{assessmentExperienceId:s.experienceId,auditRecorded:s.recorded}}function vs(r,s){return[`- userId: ${d(r.scope.userId)}`,r.scope.workspaceId?`- workspaceId: ${d(r.scope.workspaceId)}`:void 0,r.scope.agentId?`- agentId: ${d(r.scope.agentId)}`:void 0,`- sessionId: ${d(s)}`].filter((o)=>Boolean(o))}function Ms(r){if(!r)return{constraints:[],currentGoal:[],openLoops:[],recentDecisions:[]};return{currentGoal:r.currentGoal?[`- ${d(r.currentGoal)}`]:[],openLoops:r.openLoops.map((s)=>`- ${d(s)}`),recentDecisions:(r.temporaryDecisions??[]).map((s)=>`- ${d(s)}`),constraints:(r.constraints??[]).map((s)=>`- ${d(s)}`)}}function ys(r){if(!r)return{currentState:[],keyFiles:[],workflow:[]};return{currentState:r.currentState?[`- ${d(r.currentState)}`]:[],keyFiles:(r.filesAndFunctions??[]).map((s)=>`- ${d(s)}`),workflow:(r.workflow??[]).map((s)=>`- ${d(s)}`)}}function Ls(r){return r.map((s)=>{let o=d(s.title),H=d(s.pointer);return`- ${o}: ${H}`})}function ks(r){return r.map((s)=>`- [${s.kind}] ${d(s.rule)}`)}function cs(r){return r.map((s)=>`- ${d(s.preview)}`)}function Cs(r){let s=new Set,o=[];for(let H of r){if(s.has(H))continue;s.add(H),o.push(H)}return o}function Yr(r){return(r.lifecycle??"active")==="active"}function xs(r){return`session-memory/${encodeURIComponent(r)}.md`}function gs(r,s,o,H){let f=r.runtime?.workingMemory?.sessionId===s?r.runtime.workingMemory:null,E=r.runtime?.journal?.sessionId===s?r.runtime.journal:null,w=r.durable.references.filter((B)=>B.sessionId===s&&Yr(B)),m=r.durable.feedback.filter((B)=>B.sessionId===s&&Yr(B)),$=(r.runtime?.spills??[]).filter((B)=>B.scope.sessionId===s),A=Ms(f),R=ys(E);return Xs(v(o,H,"session_handoff",{sessionId:s}),[X(o,H,"scope",vs(r,s)),X(o,H,"current_goal",A.currentGoal),X(o,H,"open_loops",A.openLoops),X(o,H,"recent_decisions",A.recentDecisions),X(o,H,"constraints",A.constraints),X(o,H,"current_state",R.currentState),X(o,H,"key_files",Cs([...R.keyFiles,...Ls(w)])),X(o,H,"workflow",R.workflow),X(o,H,"procedural_memory",ks(m)),X(o,H,"artifact_spills",cs($))])}function ls(r,s,o,H,f){if(o==="session_memory"&&s.sessionId)return{...s,artifactType:o,relativePath:xs(s.sessionId),content:gs(r,s.sessionId,H,f),writable:!1};return{...s,artifactType:o,writable:!1}}function es(r){let s=r.durable.profile,o=r.runtime?.workingMemory,H=r.runtime?.journal;return[...(r.durable.sourceMessages??[]).map(({content:f})=>f),s?.identity.name,s?.identity.role,s?.identity.organization,s?.identity.location,s?.identity.languagePreference,...r.durable.facts.map(({content:f})=>f),...r.durable.references.flatMap(({pointer:f,title:E})=>[E,f]),...r.durable.feedback.map(({rule:f})=>f),...r.durable.episodes.map(({summary:f})=>f),...r.durable.archives.map(({summary:f})=>f),...r.durable.evidence.map(({excerpt:f})=>f),...r.durable.experiences.map(({summary:f})=>f),...r.durable.proposals.map(({summary:f})=>f),...r.durable.promotions.map(({summary:f})=>f),o?.currentGoal,...o?.openLoops??[],...o?.temporaryDecisions??[],...o?.constraints??[],H?.currentState,...H?.worklog??[],...H?.filesAndFunctions??[],...H?.workflow??[]].filter((f)=>Boolean(f)).join(`
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new M(r,s)}function x(r){return r.map((s)=>s.trim()).filter((s)=>s.startsWith("- ")).map((s)=>s.slice(2).trim())}function vr(r){let s=x(r),o={};for(let H of s){let f=H.indexOf(":");if(f<0)continue;let E=H.slice(0,f).trim(),w=H.slice(f+1).trim();o[E]=w}return o}function or(r){let s=new Map,o=null;for(let H of r.split(/\r?\n/)){let f=H.trimEnd();if(f.startsWith("## ")){o=f.slice(3).trim(),s.set(o,[]);continue}if(o)s.get(o)?.push(f)}return s}function Zr(r,s){let o=or(r);return x(o.get(s)??[])}function Gr(r){return r.length===1&&r[0]==="none"}function ns(r,s){return{canonicalPattern:v(r,s,"canonical_pattern"),guidance:v(r,s,"guidance"),why:v(r,s,"why")}}function as(r,s){let o=or(r.content),H=vr(o.get(s.canonicalPattern)??[]),f=x(o.get(s.guidance)??[]),E=x(o.get(s.why)??[]);if(!H.canonicalMemoryId)throw N("Malformed playbook file.",T({adapterId:"unknown",artifactType:r.artifactType,failureReasons:["Playbook writeback requires canonicalMemoryId in the Canonical Pattern 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s=[];if(r.previous.appliesTo!==r.nextAppliesTo)s.push({op:"set",target:"appliesTo",value:r.nextAppliesTo});if(r.previous.rule!==r.nextRule)s.push({op:"set",target:"rule",value:r.nextRule});if(r.previous.why!==r.nextWhy)s.push({op:"set",target:"why",value:r.nextWhy});return s}function so(r){return{artifactType:r.artifactType,canonicalMemoryId:r.canonicalMemoryId,currentContent:r.currentContent,nextContent:r.nextContent,relativePath:r.relativePath,risky:r.risky,scope:r.scope,structuredDelta:r.structuredDelta}}async function Xr(r,s,o){let H=await Tr(r,Dr,{scope:s,includeRuntime:!0},o);return new Map(H.artifacts.map((f)=>[f.relativePath,f]))}async function oo(r){let s=r.now(),o=(I)=>T({adapterId:r.adapterId,artifactType:r.writeInput.artifactType,canonicalMemoryId:I.canonicalMemoryId,failureReasons:I.failureReasons,hostKind:r.hostKind,mode:r.mode,policyApplied:I.policyApplied,relativePath:I.relativePath??r.writeInput.relativePath,risky:I.risky,rollbackPerformed:I.rollbackPerformed,structuredDelta:I.structuredDelta,verificationOutcome:I.verificationOutcome,wroteAt:s});if(!r.writeInput.relativePath.startsWith("playbooks/")||r.writeInput.relativePath.endsWith(".prompt.md")||r.writeInput.relativePath.endsWith(".skill.md"))throw N(`Host adapter does not allow writes for artifact path ${r.writeInput.relativePath}`,o({failureReasons:["Structured delta writeback only supports canonical playbook markdown files."]}));let f=(await Xr(r.memory,r.writeInput.scope,r.language)).get(r.writeInput.relativePath);if(!f)throw N(`Host adapter cannot locate the current artifact ${r.writeInput.relativePath}`,o({failureReasons:["The requested artifact path does not exist 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r.policy.shouldRemember(R,K))throw B.push("custom_shouldRemember"),N("Host adapter write was blocked by policy.",o({canonicalMemoryId:A.id,failureReasons:["Policy rejected the adapter-authored change."],policyApplied:B}));let O=A.rule!==R.content,P=Zr(f.content,w.why),S=Zr(r.writeInput.content,w.why),Y=A.why===void 0&&Gr(S)&&(P.length===0||Gr(P))?void 0:$.why,J=ro({nextAppliesTo:R.metadata.appliesTo,nextRule:R.content,nextWhy:Y,previous:A});if(J.length===0)return{diagnostics:o({canonicalMemoryId:A.id,policyApplied:B,risky:O,structuredDelta:J}),status:"noop",updatedArtifact:f};if(r.policy?.resolveConflict){let I=await r.policy.resolveConflict(qr(A,"feedback"),R,K);if(I.action==="keep_existing")throw B.push("custom_resolveConflict"),N("Host adapter write was blocked by conflict policy.",o({canonicalMemoryId:A.id,failureReasons:[I.reason??"Conflict policy kept the existing canonical memory."],policyApplied:B,risky:O,structuredDelta:J}))}let G="not_run",F;if(O){if(!r.verifyWrite)G="review_required",F="Risky adapter writes require verification before they can be applied.";else{let I=await r.verifyWrite(so({artifactType:r.writeInput.artifactType,canonicalMemoryId:A.id,currentContent:f.content,nextContent:r.writeInput.content,relativePath:r.writeInput.relativePath,risky:O,scope:r.writeInput.scope,structuredDelta:J}));G=I.outcome,F=I.reason}if(G!=="passed")throw N("Host adapter write requires verification.",o({canonicalMemoryId:A.id,failureReasons:[F??"Risky adapter writes require verification before they can be applied."],policyApplied:B,risky:O,structuredDelta:J,verificationOutcome:G}))}let b=br({...A,appliesTo:R.metadata.appliesTo,rule:R.content,source:Qr(A.source),updatedAt:s,why:Y}),U=r.createId(),l=jr({id:U,userId:A.userId,tenantId:A.tenantId,workspaceId:A.workspaceId,agentId:A.agentId,sessionId:r.writeInput.scope.sessionId,kind:"feedback",traceId:`host-write-${U}`,trigger:"governance",modelInfluence:"none",summary:`Host adapter ${r.adapterId} updated validated pattern ${A.id}.`,policyApplied:B,linkedMemoryIds:[A.id],metrics:{},createdAt:s}),j=!1;try{await r.documentStore.set("feedback",A.id,b),await r.documentStore.set(sr,U,l);let _=[...(await Xr(r.memory,r.writeInput.scope,r.language)).values()].find((h)=>h.artifactType==="playbook"&&h.relativePath.endsWith(".md")&&!h.relativePath.endsWith(".prompt.md")&&!h.relativePath.endsWith(".skill.md")&&h.content.includes(`canonicalMemoryId: ${A.id}`))??f;return{diagnostics:o({canonicalMemoryId:A.id,policyApplied:B,risky:O,structuredDelta:J,verificationOutcome:G}),linkedExperienceId:U,status:"applied",updatedArtifact:_}}catch(I){j=!0;try{await r.documentStore.set("feedback",A.id,A),await r.documentStore.delete(sr,U)}catch{j=!1}throw N("Host adapter write failed.",o({canonicalMemoryId:A.id,failureReasons:[I instanceof Error?I.message:String(I)],policyApplied:B,risky:O,rollbackPerformed:j,structuredDelta:J,verificationOutcome:G}))}}function Ho(r,s,o){if(!r.includes(s.artifactType))throw N(`Host adapter does not allow writes for artifact type ${s.artifactType}`,o);throw N(`Structured delta writeback is not implemented yet for artifact type ${s.artifactType}`,o)}function jo(r){let s=rr(r.readableArtifactTypes,zr),o=rr(r.supportedReadableArtifactTypes,Dr),H=rr(r.writableArtifactTypes,[]),f=r.mode??"file-assisted",E=r.now??(()=>new Date().toISOString()),w=r.createId??(()=>crypto.randomUUID()),m=g(r.memory)?.language??hr();if(r.id.trim().length===0)throw Error("host adapter id must not be empty");hs({readableArtifactTypes:s,supportedReadableArtifactTypes:o}),Qs({documentStorePresent:Boolean(r.documentStore),mode:f,readableArtifactTypes:s,writableArtifactTypes:H});let $=Ur(s),A=Ur(H),R=Object.freeze({mode:f,readableArtifactTypes:$,writableArtifactTypes:A}),B=r.hostKind??"generic",W={id:r.id,hostKind:B,capabilities:R,async assessAction(K){let O=Ds(t(K),B),P=await r.memory.exportMemory({scope:O.scope,includeRuntime:Boolean(O.scope.sessionId)}),S=Fr({exported:P,intent:O,language:m}),Y=await Ts({assessment:S,intent:O,memory:r.memory});return{...S,...Y}},async readArtifacts(K){let O=await Tr(r.memory,$,K,m);return{...O,artifacts:O.artifacts.map((P)=>({...P,writable:A.includes(P.artifactType)}))}},async writeArtifact(K){let O=T({adapterId:r.id,artifactType:K.artifactType,hostKind:B,mode:f,relativePath:K.relativePath,wroteAt:E()});if(K.artifactType==="playbook"&&A.includes("playbook"))return oo({adapterId:r.id,createId:w,documentStore:r.documentStore,hostKind:B,language:m,memory:r.memory,mode:f,now:E,policy:r.policy,verifyWrite:r.verifyWrite,writeInput:K});return Ho(A,K,O)}};if(B==="codex"){let K=qs(r.memory)?r.memory:void 0;Br(W,{createBehavioralTraceRecorder:({cue:O,scope:P,traceId:S})=>$r({cue:O,hostKind:"codex",traceId:S??`host-trace-${w()}`,onClose:async(Y)=>{if(!K)return{recorded:!1};return{recorded:(await p({memory:K,scope:P,trace:Y})).recorded}}}),...K?{recordBehavioralTrace:async({scope:O,trace:P})=>{return{recorded:(await p({memory:K,scope:O,trace:P})).recorded}}}:{}})}return Object.freeze(W)}function Mr(r){switch(r.kind){case"command":return{kind:"command",command:r.command,...r.summary?{summary:r.summary}:{}};case"tool_call":return{kind:"tool_call",toolName:r.toolName,...r.payload!==void 0?{payload:r.payload}:{},...r.raw?{raw:r.raw}:{},...r.summary?{summary:r.summary}:{}};case"file_edit":return{kind:"file_edit",operation:r.operation,relativePath:r.relativePath,...r.summary?{summary:r.summary}:{}}}}function fo(r){if(r.kind==="warning")return{kind:"warning",message:r.message};return Mr(r)}function To(r){if(r.assessment.actionId!==r.intent.actionId)throw Error("host action assessment actionId must match the planned intent actionId");let s=Mr(r.intent.action);switch(r.assessment.decision){case"allow":case"allow_with_guidance":return{actionId:r.intent.actionId,blocked:!1,decision:r.assessment.decision,effectiveFirstStep:s,executeOriginalActionNow:!0,guidance:[...r.assessment.guidance],intercepted:!1,originalAction:s,realizedEventParentId:r.intent.actionId,reason:r.assessment.reason,rewritten:!1};case"review_required":{if(!r.assessment.recommendedFirstStep)throw Error("review_required host action assessments must provide a recommendedFirstStep");return{actionId:r.intent.actionId,blocked:!1,decision:r.assessment.decision,effectiveFirstStep:fo(r.assessment.recommendedFirstStep),executeOriginalActionNow:!1,guidance:[...r.assessment.guidance],intercepted:!0,originalAction:s,realizedEventParentId:r.intent.actionId,reason:r.assessment.reason,rewritten:!0}}case"blocked":return{actionId:r.intent.actionId,blocked:!0,decision:r.assessment.decision,executeOriginalActionNow:!1,guidance:[...r.assessment.guidance],intercepted:!0,originalAction:s,realizedEventParentId:r.intent.actionId,reason:r.assessment.reason,rewritten:!1}}}
export{M as Ea,t as Fa,wo as Ga,jo as Ha,To as Ia};
+10
dist/chunk-6h5skrp5.js
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")),j=I0(G.episodeShape.safeCorrectedMove),J=V.find((W)=>j.some((Y)=>Y!==W)),Z=j.find((W)=>W!==J);if(J&&Z)return{fromScheme:J,toScheme:Z};return}function _D(G){let D=n([G.episodeShape.relevantPriorMove,G.episodeShape.observedOutcome].join(" ")),H=n([G.episodeShape.safeCorrectedMove,G.exactSurface?.kind==="path"?G.exactSurface.value:void 0].join(" "));for(let $ of D){let M=t($);if(!M)continue;for(let V of H){let j=PG(V),J=t(V);if(!j||!J||J===M||V===$)continue;return{forbiddenRoot:M,safeAnchor:j,safeExample:V}}}return}function KD(G,D){let H=R([G.episodeShape.safeCorrectedMove,G.episodeShape.observedOutcome,G.episodeShape.relevantPriorMove].join(" ")),$=A(H,D)?.guard;if(!$)return;return{...$.allowedStates.length>0?{allowedWhen:$.allowedStates}:{},fallbackInstruction:`Check ${$.check} first; warn or defer unless the required state is available.`,precondition:$.check,...$.subject?{subject:$.subject}:{}}}function wD(G,D){let 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Q=`${W.fromScheme}://`,K=`${W.toScheme}://`,_=W.host&&W.toUrl?{example:W.toUrl,host:W.host,pathPlacement:"path_after_host",scheme:W.toScheme}:void 0;H.push({kind:"rewrite_output_slot",replacementPairs:[{from:Q,to:K}],..._?{urlTemplate:_}:{}}),H.push({forbiddenFragments:[Q],fallbackAnswer:`Warn first and offer the ${W.toScheme} URL instead of the ${W.fromScheme} URL.`,kind:"block_surface",replacementPairs:[{from:Q,to:K}]}),H.push({kind:"require_warning",..._?{urlTemplate:_}:{},warningMessage:`If the current probe requests a ${W.fromScheme} URL, warn first and offer the ${W.toScheme} URL instead.`})}let Y=_D(M);if(Y){let Q={anchor:Y.safeAnchor,example:Y.safeExample,variableSegment:"filename"};H.push({kind:"rewrite_output_slot",pathTemplate:Q}),H.push({forbiddenFragments:[`${Y.forbiddenRoot}/`,Y.forbiddenRoot],fallbackAnswer:`Refuse the unsafe ${Y.forbiddenRoot} path and redirect to ${Y.safeExample} or another safe path under 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`):void 0].join(`
`),V=G.selections.map(({exemplar:j})=>j.retrievalText).join(`
`);return{...G.execution.computedResponse?{computedResponse:G.execution.computedResponse}:{},...G.execution.hypothesisSketch?{hypothesisSketch:G.execution.hypothesisSketch}:{},promptPayload:M,retrievalText:V,...D?{textResponsePlan:D}:{}}}function iD(G){return{exemplarCount:G.exemplars.length,hardNegativeCount:G.hardNegativePairs.length,interferenceCount:G.interferenceLedger.length,prototypeCount:G.prototypes.length}}import{createHmac as BD,randomBytes as AD}from"node:crypto";var ED=16,a0="hmac-sha256:0000000000000000000000000000000000000000000000000000000000000000";function g(G,D,H){if(D===void 0)return;return`hmac-sha256:${BD("sha256",H).update(G).update(":").update(D).digest("hex")}`}function LD(){return{userIdHash:a0}}function r0(G,D){return{userIdHash:g("userIdHash",G.userId,D)??a0,tenantIdHash:g("tenantIdHash",G.tenantId,D),workspaceIdHash:g("workspaceIdHash",G.workspaceId,D),agentIdHash:g("agentIdHash",G.agentId,D),sessionIdHash:g("sessionIdHash",G.sessionId,D)}}function Z0(G){if(!G)return;let D=Object.entries(G).filter(([,H])=>typeof H==="string"||typeof H==="number"||typeof H==="boolean");return D.length>0?Object.fromEntries(D):void 0}function c(G,D){return Z0({...G??{},...D??{}})}function ND(G){if(!G||G.length===0)return;let D=new Set,H=[];for(let $ of G){let M=`${$.type}:${$.id}`;if(D.has(M))continue;D.add(M),H.push($)}return H}function bD(G){if(G instanceof Error)return{errorType:G.name};return{errorType:typeof G}}function kD(G){if(G?.scopeDigestSecret!==void 0){if(G.scopeDigestSecret.length<ED)throw Error("GoodMemory observability scopeDigestSecret must be at least 16 characters.");return G.scopeDigestSecret}return AD(32).toString("base64url")}function p0(G){console.error("GoodMemory trace sink failed",G instanceof Error?G.name:typeof G)}function OD(G){return typeof G==="object"&&G!==null&&"then"in G&&typeof G.then==="function"}function eD(G,D){let H=G?.traceSink,$=kD(G);async function M(j){if(!H)return;try{let J=H.emit(j);if(OD(J))Promise.resolve(J).catch(p0)}catch(J){p0(J)}}function V(j){return{traceId:j.traceId,spanId:j.spanId,name:j.name,status:j.status,scopeDigest:j.scopeDigest,attributes:Z0(j.attributes),links:ND(j.links),redaction:{containsRawUserText:!1},occurredAt:D().toISOString()}}return{enabled:Boolean(H),digestScope:(j)=>r0(j,$),async start(j){let J=j.scopeDigest??(j.scope?r0(j.scope,$):LD());if(!H)return{scopeDigest:J,async succeeded(){},async failed(){},async blocked(){}};let Z=crypto.randomUUID(),W=crypto.randomUUID(),Y=Z0(j.attributes);return M(V({attributes:Y,name:j.name,scopeDigest:J,spanId:W,status:"started",traceId:Z})),{traceId:Z,scopeDigest:J,succeeded:(U)=>M(V({attributes:c(Y,U?.attributes),links:U?.links,name:j.name,scopeDigest:J,spanId:W,status:"succeeded",traceId:Z})),failed:(U)=>M(V({attributes:c(c(Y,U.attributes),bD(U.error)),links:U.links,name:j.name,scopeDigest:J,spanId:W,status:"failed",traceId:Z})),blocked:(U)=>M(V({attributes:c(Y,U?.attributes),links:U?.links,name:j.name,scopeDigest:J,spanId:W,status:"blocked",traceId:Z}))}}}}
export{FD as pa,SD as qa,q as ra,U0 as sa,ID as ta,zD as ua,DG as va,qD as wa,w0 as xa,hD as ya,vD as za,pD as Aa,aD as Ba,iD as Ca,eD as Da};
+246
dist/chunk-85nvgjqp.js
import{Kb as T$,Mb as I$,Nb as N$,Ob as w$,Pb as W$,Qb as y$,Rb as f$,Sb as S$,Ub as X$}from"./chunk-17bwvvz0.js";import{Xb as b,Yb as L$}from"./chunk-mer0q3da.js";import{dc as m$}from"./chunk-1prr29sb.js";import{Database as g$}from"bun:sqlite";import{Buffer as Y4}from"node:buffer";import{mkdirSync as Z4}from"node:fs";import{dirname as W4}from"node:path";import{spawnSync as s$}from"node:child_process";import{existsSync as o$}from"node:fs";var e={};m$(e,{loadVss:()=>_$,loadVector:()=>z$,load:()=>l$,getVssLoadablePath:()=>U$,getVectorLoadablePath:()=>O$});import{join as b$}from"node:path";import{fileURLToPath as p$}from"node:url";import{arch as t,platform as o}from"node:process";import{statSync as u$}from"node:fs";var A$=[["darwin","x64"],["darwin","arm64"],["linux","x64"]];function r$($,G){return A$.find(([Y,X])=>$==Y&&G===X)!==null}function c$($){if($==="win32")return"dll";if($==="darwin")return"dylib";return"so"}function d$($,G){return`sqlite-vss-${$==="win32"?"windows":$}-${G}`}function B$($){if(!r$(o,t))throw Error(`Unsupported platform for sqlite-vss, on a ${o}-${t} machine, but not in supported platforms (${A$.map(([X,H])=>`${X}-${H}`).join(",")}). Consult the sqlite-vss NPM package README for details. `);let G=d$(o,t),Y=b$(p$(new URL(".",import.meta.url)),"..","..",G,"lib",`${$}.${c$(o)}`);if(!u$(Y,{throwIfNoEntry:!1}))throw Error(`Loadble extension for sqlite-vss not found. Was the ${G} package installed? Avoid using the --no-optional flag, as the optional dependencies for sqlite-vss are required.`);return Y}function O$(){return B$("vector0")}function U$(){return B$("vss0")}function z$($){$.loadExtension(O$())}function _$($){$.loadExtension(U$())}function l$($){z$($),_$($)}var G$="vss_inner_product",K$=Symbol.for("goodmemory.sqlite.library-registry"),i$=["/opt/homebrew/opt/sqlite/lib/libsqlite3.dylib","/usr/local/opt/sqlite/lib/libsqlite3.dylib","/usr/lib/x86_64-linux-gnu/libsqlite3.so","/usr/lib/aarch64-linux-gnu/libsqlite3.so","/usr/lib64/libsqlite3.so","/usr/lib/libsqlite3.so"],n$=`
import { Database } from "bun:sqlite";
const [customLibraryPath, vectorPath, vssPath] = process.argv.slice(1);
if (!customLibraryPath || !vectorPath || !vssPath) {
throw new Error("Missing sqlite-vss probe paths.");
}
Database.setCustomSQLite(customLibraryPath);
const database = new Database(":memory:", { strict: true });
try {
database.loadExtension(vectorPath);
database.loadExtension(vssPath);
database.query("select vss_version() as version").get();
database.exec(
"CREATE VIRTUAL TABLE __goodmemory_vss_probe USING vss0(embedding(3)); DROP TABLE __goodmemory_vss_probe;",
);
} finally {
database.close();
}
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CREATE TABLE IF NOT EXISTS documents (
collection TEXT NOT NULL,
id TEXT NOT NULL,
json TEXT NOT NULL,
PRIMARY KEY (collection, id)
);
CREATE VIRTUAL TABLE IF NOT EXISTS document_text_fts USING fts5(
collection UNINDEXED,
id UNINDEXED,
text,
searchText,
tokenize = 'unicode61 remove_diacritics 2'
);
CREATE TABLE IF NOT EXISTS document_text_fts_keys (
rowid INTEGER PRIMARY KEY,
collection TEXT NOT NULL,
id TEXT NOT NULL,
UNIQUE (collection, id)
);
CREATE TABLE IF NOT EXISTS document_store_schema (
component TEXT PRIMARY KEY,
version INTEGER NOT NULL
);
`);try{$.exec("BEGIN IMMEDIATE");let G=$.query("SELECT version FROM document_store_schema WHERE component = ?1");if(G.get(k$)?.version!==P$)$.exec(`
DROP TABLE document_text_fts;
CREATE VIRTUAL TABLE document_text_fts USING fts5(
collection UNINDEXED,
id UNINDEXED,
text,
searchText,
tokenize = 'unicode61 remove_diacritics 2'
);
DELETE FROM document_text_fts_keys;
INSERT INTO document_text_fts_keys (collection, id)
SELECT collection, id
FROM documents
WHERE CASE WHEN json_valid(json)
THEN json_type(json, '$.text') = 'text' OR
json_type(json, '$.searchText') = 'text'
ELSE 0
END;
INSERT INTO document_text_fts (
rowid,
collection,
id,
text,
searchText
)
SELECT keys.rowid, documents.collection, documents.id,
CASE WHEN json_type(documents.json, '$.text') = 'text'
THEN json_extract(documents.json, '$.text')
END,
CASE WHEN json_type(documents.json, '$.searchText') = 'text'
THEN json_extract(documents.json, '$.searchText')
END
FROM documents
JOIN document_text_fts_keys AS keys
ON keys.collection = documents.collection AND keys.id = documents.id;
`),$.query(`INSERT INTO document_store_schema (component, version)
VALUES (?1, ?2)
ON CONFLICT(component) DO UPDATE SET version = excluded.version`).run(k$,P$);if(G.get(Q$)?.version!==E$)$.exec(`
DROP INDEX IF EXISTS documents_collection_scope_key_idx;
DROP INDEX IF EXISTS documents_collection_memory_id_idx;
DROP INDEX IF EXISTS documents_collection_source_memory_id_idx;
DROP INDEX IF EXISTS documents_collection_claim_group_idx;
CREATE INDEX documents_collection_scope_key_idx
ON documents (collection, json_extract(json, '$.scopeKey'))
WHERE json_valid(json);
CREATE INDEX documents_collection_memory_id_idx
ON documents (collection, json_extract(json, '$.memoryId'))
WHERE json_valid(json);
CREATE INDEX documents_collection_source_memory_id_idx
ON documents (collection, json_extract(json, '$.sourceMemoryId'))
WHERE json_valid(json);
CREATE INDEX documents_collection_claim_group_idx
ON documents (
collection,
json_extract(json, '$.scopeKey'),
json_extract(json, '$.subjectEntityId'),
json_extract(json, '$.predicateKey')
)
WHERE json_valid(json);
`),$.query(`INSERT INTO document_store_schema (component, version)
VALUES (?1, ?2)
ON CONFLICT(component) DO UPDATE SET version = excluded.version`).run(Q$,E$);$.exec("COMMIT")}catch(G){try{$.exec("ROLLBACK")}catch{}throw G}}function J4($){$.exec(`
CREATE TABLE IF NOT EXISTS session_buffers (
scope_key TEXT PRIMARY KEY,
json TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS session_working_memory (
scope_key TEXT PRIMARY KEY,
json TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS session_journals (
scope_key TEXT PRIMARY KEY,
json TEXT NOT NULL
);
`)}function A4($){$.exec(`
CREATE TABLE IF NOT EXISTS vectors (
collection TEXT NOT NULL,
id TEXT NOT NULL,
embedding_json TEXT NOT NULL,
metadata_json TEXT NOT NULL,
content TEXT NOT NULL,
PRIMARY KEY (collection, id)
);
CREATE TABLE IF NOT EXISTS vector_index_state (
table_name TEXT PRIMARY KEY,
collection TEXT NOT NULL,
dimension INTEGER NOT NULL,
dirty INTEGER NOT NULL
);
`)}function V($){return JSON.parse($)}function S($,G){let Y=$.query("SELECT name FROM sqlite_master WHERE type = 'table' AND name = ?1").get(G);return Y!==null&&Y!==void 0}function B4($,G,Y){let X=G.replaceAll('"','""');return $.query(`PRAGMA table_info("${X}")`).all().some(({name:H})=>H===Y)}function g($){return Error(`SQLite ${$} store is read-only in this context.`)}function O4($,G){let Y=Math.min($.length,G.length),X=0;for(let H=0;H<Y;H+=1)X+=$[H]*G[H];return X}function U4($){return $===null||typeof $==="string"||typeof $==="number"||typeof $==="boolean"}function z4($){switch($){case"memoryId":return"$.memoryId";case"predicateKey":return"$.predicateKey";case"scopeKey":return"$.scopeKey";case"sourceMemoryId":return"$.sourceMemoryId";case"subjectEntityId":return"$.subjectEntityId";default:return}}function a($,G){$.exec("BEGIN IMMEDIATE");try{let Y=G();return $.exec("COMMIT"),Y}catch(Y){try{$.exec("ROLLBACK")}catch{}throw Y}}function C$($){let{alias:G,keyParameterIndex:Y,value:X,valueParameterIndex:H}=$,F=`EXISTS (
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AND ${G}.type = 'text'
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embedding_json,
metadata_json,
content,
${Y.searchFunction||G$}(embedding_json, ?2) AS score
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ORDER BY score DESC, id ASC
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VALUES (?1, ?2, ?3)
ON CONFLICT(collection, id) DO UPDATE SET json = excluded.json`),H=Y.query("SELECT json FROM documents WHERE collection = ?1 AND id = ?2"),F=Y.query("SELECT json FROM documents WHERE collection = ?1"),W=Y.query("DELETE FROM documents WHERE collection = ?1 AND id = ?2"),B=S(Y,"document_text_fts"),M=S(Y,"document_text_fts_keys"),E=B&&B4(Y,"document_text_fts","searchText"),C=M?Y.query(`INSERT OR IGNORE INTO document_text_fts_keys (collection, id)
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collection,
id,
text,
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FROM documents
WHERE documents.collection = ?1
${z.length>0?`AND ${z.join(" AND ")}`:""}
AND (?${R} IS NULL OR documents.id > ?${R})
ORDER BY documents.id ASC
LIMIT ?${O.length}`).all(...O),D=L.slice(0,Z.limit);return{items:D.map((y)=>V(y.json)),...L.length>Z.limit?{nextCursor:D.at(-1).id}:{}}},async searchText(j,Z){N$(Z);let O=S$(Z.query);if(O.length===0)return[];let z=[],R,L=Z.field==="text"?Z.field:Z.field==="searchText"&&E?Z.field:null;if(B&&L){z.push(O,j);let D=p({alias:"documents",filter:Z.filter,values:z});z.push(Z.limit),R=`SELECT documents.id, documents.json, bm25(document_text_fts) AS score
FROM document_text_fts
JOIN documents
ON documents.collection = document_text_fts.collection
AND documents.id = document_text_fts.id
WHERE document_text_fts.${L} MATCH ?1
AND document_text_fts.collection = ?2
${D.length>0?`AND ${D.join(" AND ")}`:""}
ORDER BY score ASC, documents.id ASC
LIMIT ?${z.length}`}else{z.push(j,`$."${Z.field.replaceAll('"',"\\\"")}"`);let D=f$(Z.query),y=[];for(let v of D)z.push(`%${v}%`),y.push(`lower(CAST(json_extract(documents.json, ?2) AS TEXT)) LIKE ?${z.length}`);let u=p({alias:"documents",filter:Z.filter,values:z});z.push(Z.limit),R=`SELECT documents.id, documents.json, 1 AS score
FROM documents
WHERE documents.collection = ?1
AND (${y.join(" OR ")})
${u.length>0?`AND ${u.join(" AND ")}`:""}
ORDER BY documents.id ASC
LIMIT ?${z.length}`}return Y.query(R).all(...z).map((D)=>({document:V(D.json),id:D.id,score:Math.max(Number.EPSILON,Math.abs(Number(D.score)))}))},async writeBatchIfUnchanged(j){if(G?.readOnly)throw g("document");return l(j)},async delete(j,Z){a(Y,()=>{x(j,Z),W.run(j,Z)})}}}function Z$($,G,Y){if(Y?.readOnly&&!S($,G))return{async set(){throw g("session")},async get(){return null},async setIfUnchanged(){throw g("session")},async deleteIfUnchanged(){throw g("session")},async deleteByScope(){throw g("session")}};let X=$.query(`INSERT INTO ${G} (scope_key, json)
VALUES (?1, ?2)
ON CONFLICT(scope_key) DO UPDATE SET json = excluded.json`),H=$.query(`SELECT json FROM ${G} WHERE scope_key = ?1`),F=$.query(`INSERT INTO ${G} (scope_key, json)
VALUES (?1, ?2)
ON CONFLICT(scope_key) DO NOTHING`),W=$.query(`UPDATE ${G}
SET json = ?3
WHERE scope_key = ?1 AND json = ?2`),B=$.query(`DELETE FROM ${G} WHERE scope_key = ?1`),M=$.query(`DELETE FROM ${G} WHERE scope_key = ?1 AND json = ?2`),E=$.query(`DELETE FROM ${G} WHERE scope_key LIKE ?1`);return{async set(C,U){X.run(b(C),JSON.stringify(U))},async setIfUnchanged(C,U,q){return a($,()=>{let N=b(C),T=JSON.stringify(q),x=U===null?F.run(N,T):W.run(N,JSON.stringify(U),T);return Number(x.changes??0)===1})},async get(C){let U=H.get(b(C));return U?V(U.json):null},async deleteIfUnchanged(C,U){return a($,()=>{let q=M.run(b(C),JSON.stringify(U));return Number(q.changes??0)===1})},async deleteByScope(C){if(C.sessionId!==void 0){let q=B.run(b(C));return Number(q.changes??0)}let U=E.run(`${L$(C)}%`);return Number(U.changes??0)}}}function y4($,G){let Y=H$($,G);if(!G?.readOnly)J4(Y);let X=Z$(Y,"session_buffers",G),H=Z$(Y,"session_working_memory",G),F=Z$(Y,"session_journals",G);return{saveBuffer(W,B){return X.set(W,B)},saveBufferIfUnchanged(W,B,M){return X.setIfUnchanged(W,B,M)},getBuffer(W){return X.get(W)},deleteBufferIfUnchanged(W,B){return X.deleteIfUnchanged(W,B)},deleteBuffersByScope(W){return X.deleteByScope(W)},saveWorkingMemory(W,B){return H.set(W,B)},getWorkingMemory(W){return H.get(W)},deleteWorkingMemoryByScope(W){return H.deleteByScope(W)},saveJournal(W,B){return F.set(W,B)},getJournal(W){return F.get(W)},deleteJournalsByScope(W){return F.deleteByScope(W)}}}function f4($,G,Y){let X=Y?.runtimeResolution??x$(),H=Y?.vectorExtensionConfig??X.config.vectorExtension,F=Y?.runtimeResolution?.diagnostics??X.diagnostics,W=H$($,G);if(!G?.readOnly)A4(W);if(F.requestedMode==="require"&&!F.available)throw Error(F.reason??"SQLite vector acceleration is required but no supported runtime is available.");let B=!G?.readOnly||S(W,"vectors"),M=new Set,E=null,C=G?.readOnly?null:W.query(`INSERT INTO vectors (
collection,
id,
embedding_json,
metadata_json,
content
) VALUES (?1, ?2, ?3, ?4, ?5)
ON CONFLICT(collection, id) DO UPDATE SET
embedding_json = excluded.embedding_json,
metadata_json = excluded.metadata_json,
content = excluded.content`),U=B?W.query(`SELECT id, embedding_json, metadata_json, content
FROM vectors
WHERE collection = ?1 AND id = ?2`):null,q=B?W.query(`SELECT id, embedding_json, metadata_json, content
FROM vectors
WHERE collection = ?1`):null,N=B?W.query(`SELECT rowid, id, embedding_json, metadata_json, content
FROM vectors
WHERE collection = ?1`):null,T=B?W.query(`SELECT rowid, embedding_json
FROM vectors
WHERE collection = ?1 AND id = ?2`):null,x=B?W.query(`SELECT rowid, id, embedding_json, metadata_json, content
FROM vectors
WHERE collection = ?1 AND rowid = ?2`):null,d=G?.readOnly?null:W.query("DELETE FROM vectors WHERE collection = ?1 AND id = ?2"),l=!G?.readOnly||S(W,"vector_index_state")?W.query(`SELECT dirty
FROM vector_index_state
WHERE table_name = ?1`):null,j=G?.readOnly?null:W.query(`INSERT INTO vector_index_state (table_name, collection, dimension, dirty)
VALUES (?1, ?2, ?3, 1)
ON CONFLICT(table_name) DO UPDATE SET
collection = excluded.collection,
dimension = excluded.dimension,
dirty = 1`),Z=G?.readOnly?null:W.query(`INSERT INTO vector_index_state (table_name, collection, dimension, dirty)
VALUES (?1, ?2, ?3, 0)
ON CONFLICT(table_name) DO UPDATE SET
collection = excluded.collection,
dimension = excluded.dimension,
dirty = 0`);function O(){if(E)return E;let J=(Y?.loadVectorExtension??D$)(H,W);return E=J&&typeof J==="object"&&"loaded"in J?J:{loaded:H.mode!=="off"&&Boolean(H.paths?.length)},E}function z(){return H.backend==="sqlite-vss"&&O().loaded}function R(J,K){let A=R$(J,K);j.run(A,J,K)}function L(J){Z.run(J.tableName,J.collection,J.dimension)}function D(J){if(!J.existed)return!0;let K=l.get(J.tableName);return!K||K.dirty!==0}function y(J){return l?.get(J)?.dirty===0}function u(J,K,A){let _=N.all(J).filter((P)=>{return V(P.embedding_json).length===K}),Q=new Set(_.map((P)=>P.rowid)),k=W.query(`SELECT rowid FROM ${c(A)}`).all();for(let P of k)if(!Q.has(P.rowid))n(W,A,P.rowid);for(let P of _)V$({database:W,embeddingJson:P.embedding_json,rowid:P.rowid,tableName:A});L({collection:J,dimension:K,tableName:A})}function v(J,K){if(!z())return null;let A=R$(J,K);if(M.has(A)){if(G?.readOnly){if(!y(A))return M.delete(A),null;return A}if(D({existed:!0,tableName:A}))u(J,K,A);return A}if(G?.readOnly){if(!S(W,A))return null;if(!y(A))return null;return M.add(A),A}let _=S(W,A);if(W.exec(`CREATE VIRTUAL TABLE IF NOT EXISTS ${c(A)}
USING vss0(embedding(${K}))`),D({existed:_,tableName:A}))u(J,K,A);return M.add(A),A}function v$(J){let{collection:K,filter:A,queryEmbedding:_,topK:Q}=J,k=_.length,P=v(K,k);if(!P)return null;let I=q.all(K).filter((h)=>{return V(h.embedding_json).length===k}).length;if(I===0)return[];let s=JSON.stringify(_),w=Math.min(I,Math.max(Q,A?Q*4:Q));while(w>0){let h=W.query(`SELECT rowid, distance
FROM ${c(P)}
WHERE vss_search(embedding, vss_search_params(json(?1), ?2))`).all(s,w),f=[];for(let j$ of h){let r=x.get(K,j$.rowid);if(!r)continue;let h$=V(r.embedding_json),J$=V(r.metadata_json);if(!W$(J$,A))continue;f.push({id:r.id,embedding:h$,metadata:J$,content:r.content,score:1/(1+Number(j$.distance))})}if(!A||f.length>=Q||w>=I)return f.slice(0,Q);w=Math.min(I,w*2)}return[]}return{async upsert(J,K){if(G?.readOnly)throw g("vector");W.transaction((_)=>{let Q=z();for(let k of _){let P=T.get(J,k.id),I=P?V(P.embedding_json).length:null,s=JSON.stringify(k.embedding);if(C.run(J,k.id,s,JSON.stringify(k.metadata),k.content),!Q){if(P&&I!==null&&I!==k.embedding.length)R(J,I);R(J,k.embedding.length);continue}let w=T.get(J,k.id);if(!w)continue;if(P&&I!==null&&I!==k.embedding.length){let f=v(J,I);if(f)n(W,f,P.rowid)}let h=v(J,k.embedding.length);if(!h)continue;V$({database:W,embeddingJson:s,rowid:w.rowid,tableName:h})}})(K)},async get(J,K){if(!B)return null;let A=U.get(J,K);if(!A)return null;return{id:A.id,embedding:V(A.embedding_json),metadata:V(A.metadata_json),content:A.content}},async search(J,K,A){if(A.topK<=0||K.length===0)return[];if(!B)return[];if(H.mode!=="off"&&H.paths?.length&&O().loaded)try{let _=H.backend==="sqlite-vss"?v$({collection:J,filter:A.filter,queryEmbedding:K,topK:A.topK}):(Y?.runExtensionSearch??K4)({collection:J,config:H,database:W,filter:A.filter,queryEmbedding:K,topK:A.topK});if(_!==null)return _;if(H.mode==="require")throw Error("SQLite vector extension search could not satisfy the current query without durable fallback.")}catch(_){if(H.mode==="require"){let Q=_ instanceof Error?_.message:String(_);throw Error(`Failed to execute SQLite vector extension search for ${J}: ${Q}`)}}return q.all(J).map((_)=>{let Q=V(_.embedding_json),k=V(_.metadata_json);return{id:_.id,embedding:Q,metadata:k,content:_.content,score:O4(Q,K)}}).filter((_)=>W$(_.metadata,A.filter)).sort((_,Q)=>{if(Q.score!==_.score)return Q.score-_.score;return _.id.localeCompare(Q.id)}).slice(0,A.topK)},async delete(J,K){if(G?.readOnly)throw g("vector");W.transaction(()=>{let _=T.get(J,K),Q=z();if(_&&Q){let k=V(_.embedding_json).length,P=v(J,k);if(P)n(W,P,_.rowid)}if(_&&!Q){let k=V(_.embedding_json).length;R(J,k)}d.run(J,K)})()}}}export{f4 as createSQLiteVectorStore,y4 as createSQLiteSessionStore,w4 as createSQLiteDocumentStore};
+7
dist/chunk-cg1156bz.js
import{Aa as i,Ba as n,Da as t,pa as _,qa as L}from"./chunk-6h5skrp5.js";import{Ha as e,Ia as QQ}from"./chunk-24n5gj7d.js";import{db as p,eb as u,gb as w,ib as a,yb as q}from"./chunk-t2nckty1.js";import{Jb as m}from"./chunk-b7j2aytn.js";import{Xb as k}from"./chunk-mer0q3da.js";import{createHash as TQ}from"node:crypto";import{createHmac as HQ}from"node:crypto";var GQ=24,UQ=1200,R=100,f=new Set(["profile","preference","fact","feedback","episode","evidence","experience","reference","archive","proposal","promotion","runtime-journal","runtime-spill","writeback-event"]);function WQ(Q){if(!f.has(Q.recordKind))throw Error(`Unsupported GoodMemory record kind: ${Q.recordKind}`);if(!Q.scopeDigest||Q.scopeDigest.includes(":"))throw Error("GoodMemory recordRef requires a non-empty colon-free scopeDigest.");if(!Q.id)throw Error("GoodMemory recordRef requires a non-empty id.");return`gmrec:v1:${Q.scopeDigest}:${Q.recordKind}:${encodeURIComponent(Q.id)}`}function JQ(Q){let Z=/^gmrec:v1:([^:]+):([^:]+):(.+)$/u.exec(Q);if(!Z)return null;let[,$,H,W]=Z;if(!f.has(H))return null;try{return{id:decodeURIComponent(W),recordKind:H,scopeDigest:$}}catch{return null}}function b(Q){return`scope_${HQ("sha256",Q.secret).update(k(Q.scope)).digest("hex").slice(0,32)}`}function x(Q){if(Q.scopeDigestSecret.trim().length<16)throw Error("ProgressiveRecallService requires a stable scopeDigestSecret.");let Z=Q.maxDetailPreviewChars??UQ,$=Q.now??(()=>new Date),H=Q.language??q(Q.memory)?.language;if(!H)throw Error("ProgressiveRecallService requires the memory LanguageService.");let W=H,Y=W.resolveFromText({text:""}),O=new Map;async function j(U){let K=U.retrievalProfile??(U.includeRuntime===!0?"coding_agent":void 0),N=await Q.memory.recall({retrievalProfile:K,locale:U.locale,query:U.query??"",scope:U.scope}),J=b({scope:U.scope,secret:Q.scopeDigestSecret}),X=N.metadata.locale??U.locale??Y.locale;return{candidates:XQ({includeRuntime:U.includeRuntime,language:W,locale:X,maxDetailPreviewChars:Z,recall:N,scope:U.scope}),generatedAt:$().toISOString(),locale:X,scopeDigest:J}}function M(U){let K=O.get(U.scopeDigest)??new Map;if(U.includeRuntime!==!0){for(let[J,X]of K)if(X.candidate.source==="runtime")K.delete(J)}let N=$().getTime();for(let J of U.selected)K.set(J.record.recordRef,{candidate:J.candidate,lastSeenAt:N});OQ(K),O.set(U.scopeDigest,K)}async function G(U){let{candidates:K,generatedAt:N,locale:J,scopeDigest:X}=await j({includeRuntime:U.includeRuntime,locale:U.locale,query:U.query,retrievalProfile:U.retrievalProfile,scope:U.scope}),V=K.map((B)=>({candidate:B,record:BQ({candidate:B,language:W,locale:J,query:U.query,scopeDigest:X})})).sort((B,P)=>AQ(B.record,P.record)),A=NQ({limit:U.limit??GQ,ranked:V});return M({includeRuntime:U.includeRuntime,scopeDigest:X,selected:A}),{generatedAt:N,locale:J,query:U.query,records:A.map((B)=>B.record),scopeDigest:X,totalRecordCount:K.length}}async function z(U){let K=await G(U),N=U.recordsPerBucket??6,J=new Map;for(let X of K.records){let V=DQ(X.occurredAt,W,K.locale??Y.locale),A=J.get(V)??[];if(A.length<N)A.push(X);J.set(V,A)}return{buckets:Array.from(J,([X,V])=>({label:X,records:V})),locale:K.locale,scopeDigest:K.scopeDigest,totalRecordCount:K.totalRecordCount}}async function F(U){let K=b({scope:U.scope,secret:Q.scopeDigestSecret}),N=O.get(K)??new Map,J=[];for(let X of U.recordRefs){let V=JQ(X);if(!V)throw Error(`Invalid GoodMemory recordRef: ${X}`);if(V.scopeDigest!==K)throw Error(`GoodMemory recordRef ${X} does not belong to the requested scope.`);let A=N.get(X);if(!A)throw Error(`GoodMemory recordRef ${X} is not available in the current progressive recall visibility set.`);let B=A.candidate,P={occurredAt:B.occurredAt,recordKind:B.recordKind,recordRef:X,title:B.title,summary:B.summary,detail:B.detail,estimatedTokens:_(JSON.stringify(B.detail))};J.push(P)}return{records:J,scopeDigest:K}}return{searchRecallIndex:G,buildRecallTimeline:z,getProgressiveRecords:F,renderProgressiveContext(U){let K=U.maxRecords??10,N=U.maxTokens?Math.max(1,Math.floor(U.maxTokens)):void 0,J=U.index.records.slice(0,K),X=U.index.locale??Y.locale,V=KQ(U,Boolean(N),W,X),A=[];for(let $Q of J){let T=zQ({header:V,lines:A,maxTokens:N,record:$Q,recordIndex:A.length,language:W,locale:X});if(!T)break;A.push(T)}let B=Math.max(0,U.index.records.length-A.length),P=B>0&&!I({header:V,lines:A,maxTokens:N,footer:[W.render({key:"omitted_records",values:{count:B}},X)]})?[W.render({key:"omitted_records",values:{count:B}},X)]:[],ZQ=[...V,...A,...P].join(`
`),h=VQ(ZQ,N);return{content:h,estimatedTokens:_(h),omittedRecordCount:B}}}}function XQ(Q){let Z=[],$=(Y,O)=>Q.language.render(O?{key:Y,values:O}:{key:Y},Q.locale),H=(Y)=>{Z.push(jQ(Y,Q.scope,Q.maxDetailPreviewChars))},W=Q.recall.profile;if(W)H({detail:{activeContext:W.activeContext,expertise:W.expertise,identity:v(W.identity,Q.scope),version:W.version},id:"profile",occurredAt:W.updatedAt,recordKind:"profile",source:"durable",summary:[...W.activeContext.goals,...W.activeContext.currentProjects].join("; "),title:$("profile")});for(let Y of Q.recall.preferences)H({detail:{category:Y.category,confidence:Y.confidence,lifecycle:Y.lifecycle,tags:Y.tags,value:Y.value},id:Y.id,occurredAt:Y.updatedAt,recordKind:"preference",source:"durable",summary:MQ(Y.value),title:`${$("preference")}: ${Y.category}`});for(let Y of Q.recall.facts)H({detail:{category:Y.category,confidence:Y.confidence,content:Y.content,factKind:Y.factKind,importance:Y.importance,lifecycle:Y.lifecycle,subject:Y.subject,tags:Y.tags},id:Y.id,occurredAt:Y.updatedAt,recordKind:"fact",source:"durable",summary:Y.content,title:qQ($("fact_item"),Y.subject??Y.category)});for(let Y of Q.recall.feedback)H({detail:{appliesTo:Y.appliesTo,confidence:Y.confidence,kind:Y.kind,lifecycle:Y.lifecycle,rule:Y.rule,tags:Y.tags,why:Y.why},id:Y.id,occurredAt:Y.updatedAt,recordKind:"feedback",source:"durable",summary:Y.rule,title:`${$("feedback")}: ${Y.kind}`});for(let Y of Q.recall.references)H({detail:{confidence:Y.confidence,description:Y.description,pointer:Y.pointer,referenceKind:Y.referenceKind,subject:Y.subject,tags:Y.tags,title:Y.title},id:Y.id,occurredAt:Y.updatedAt,recordKind:"reference",source:"durable",summary:Y.description??Y.pointer,title:Y.title});for(let Y of Q.recall.episodes)H({detail:{confidence:Y.confidence,keyDecisions:Y.keyDecisions,summary:Y.summary,topics:Y.topics,unresolvedItems:Y.unresolvedItems},id:Y.id,occurredAt:Y.archivedAt??Y.createdAt,recordKind:"episode",source:"durable",summary:Y.summary,title:$("episode_item")});for(let Y of Q.recall.archives)H({detail:{keyDecisions:Y.keyDecisions,referencedArtifacts:Y.referencedArtifacts,sourceSessionCount:Y.sourceSessionIds.length,summary:Y.summary,unresolvedItems:Y.unresolvedItems},id:Y.id,occurredAt:Y.archivedAt,recordKind:"archive",source:"durable",summary:Y.summary,title:Y.summary});for(let Y of Q.recall.evidence)H({detail:{excerpt:Y.excerpt,kind:Y.kind,linkedArchiveIds:Y.linkedArchiveIds,linkedMemoryIds:Y.linkedMemoryIds,sourceUri:Y.sourceUri},id:Y.id,occurredAt:Y.createdAt,recordKind:"evidence",source:"durable",summary:Y.excerpt,title:`${$("evidence")}: ${Y.kind}`});if(Q.includeRuntime===!0&&Q.recall.journal){let Y=Q.recall.journal;H({detail:{currentState:Y.currentState,errorsAndCorrections:Y.errorsAndCorrections,filesAndFunctions:Y.filesAndFunctions,keyResults:Y.keyResults,learnings:Y.learnings,taskSpecification:Y.taskSpecification,title:Y.title,workflow:Y.workflow,worklog:Y.worklog},id:"current",occurredAt:Y.updatedAt,recordKind:"runtime-journal",source:"runtime",summary:Y.currentState??Y.title??Y.worklog[0]??$("journal"),title:Y.title??$("journal")})}if(Q.includeRuntime===!0&&Q.recall.workingMemory){let Y=Q.recall.workingMemory;H({detail:{constraints:Y.constraints,currentGoal:Y.currentGoal,openLoops:Y.openLoops,state:Y.state,temporaryDecisions:Y.temporaryDecisions,toolState:Y.toolState},id:"working-memory",occurredAt:Y.updatedAt,recordKind:"runtime-journal",required:!0,source:"runtime",summary:[Y.currentGoal?`${$("current_goal")}: ${Y.currentGoal}`:void 0,Y.openLoops.length>0?`${$("open_loops")}: ${Y.openLoops.join(", ")}`:void 0].filter(SQ).join("; ")||$("working_memory"),title:$("working_memory")})}return Z}function KQ(Q,Z,$,H){if(Z)return[$.render({key:"progressive_recall"},H),`scopeDigest: ${Q.index.scopeDigest}`,$.render({key:"progressive_detail_instruction_compact"},H)];return[$.render({key:"progressive_recall"},H),`query: ${Q.query??Q.index.query??$.render({key:"none"},H)}`,`scopeDigest: ${Q.index.scopeDigest}`,`retrievalProfile: ${Q.retrievalProfile??$.render({key:"default_label"},H)}`,$.render({key:"progressive_detail_instruction"},H)]}function NQ(Q){let Z=Math.max(1,Math.floor(Q.limit)),$=new Map;for(let H of Q.ranked)if(H.candidate.required)$.set(H.record.recordRef,H);for(let H of Q.ranked){if($.size>=Z)break;$.set(H.record.recordRef,H)}return Array.from($.values()).slice(0,Z)}function zQ(Q){let Z=Q.maxTokens?[160,96,48,0]:[260];for(let $ of Z){let H=FQ({record:Q.record,recordIndex:Q.recordIndex,summaryMaxChars:$,language:Q.language,locale:Q.locale});if(!I({header:Q.header,lines:[...Q.lines,H],maxTokens:Q.maxTokens}))return H}return null}function FQ(Q){let Z=[`${Q.recordIndex+1}. ${Q.record.title}`,`${Q.language.render({key:"record_kind"},Q.locale)}: ${Q.record.recordKind}`,`${Q.language.render({key:"record_ref"},Q.locale)}: ${Q.record.recordRef}`];if(Q.summaryMaxChars>0)Z.push(`${Q.language.render({key:"summary"},Q.locale)}: ${E(Q.record.summary,Q.summaryMaxChars)}`);return Z.push(`${Q.language.render({key:"detail_tokens"},Q.locale)}: ${Q.record.estimatedDetailTokens}`),Z.join(" | ")}function I(Q){if(!Q.maxTokens)return!1;return _([...Q.header,...Q.lines,...Q.footer??[]].join(`
`))>Q.maxTokens}function VQ(Q,Z){if(!Z||_(Q)<=Z)return Q;let $="...",H=_($);if(Z<=H)return L(Q,Z);return`${L(Q,Z-H).trimEnd()}${$}`}function BQ(Q){let Z=E(Q.candidate.summary,260),$=E(Q.candidate.title,120),H=WQ({id:Q.candidate.id,recordKind:Q.candidate.recordKind,scopeDigest:Q.scopeDigest}),W=[$,Z].join(" ");return{estimatedDetailTokens:_(JSON.stringify(Q.candidate.detail)),estimatedIndexTokens:_(W),occurredAt:Q.candidate.occurredAt,recordKind:Q.candidate.recordKind,recordRef:H,score:LQ(W,Q.query,Q.language,Q.locale),source:Q.candidate.source,summary:Z,title:$}}function AQ(Q,Z){if(Z.score!==Q.score)return Z.score-Q.score;return y(Z.occurredAt)-y(Q.occurredAt)}function OQ(Q){if(Q.size<=R)return;let Z=new Set(Array.from(Q).sort(($,H)=>H[1].lastSeenAt-$[1].lastSeenAt).slice(0,R).map(([$])=>$));for(let $ of Q.keys())if(!Z.has($))Q.delete($)}function jQ(Q,Z,$){return{...Q,detail:_Q(v(Q.detail,Z),$),summary:D(Q.summary,Z),title:D(Q.title,Z)}}function v(Q,Z){return S(Q,Z)}function S(Q,Z){if(typeof Q==="string")return D(Q,Z);if(Array.isArray(Q))return Q.map(($)=>S($,Z));if(Q&&typeof Q==="object"){let $={};for(let[H,W]of Object.entries(Q)){if(PQ(H)||H==="normalizedTranscript")continue;$[H]=S(W,Z)}return $}return Q}function _Q(Q,Z){let $=JSON.stringify(Q);if($.length<=Z)return Q;return{preview:`${$.slice(0,Z)}...`,truncated:!0}}function PQ(Q){return["agentId","scope","scopeLineage","sessionId","sourceSessionIds","tenantId","userId","workspaceId"].includes(Q)}function D(Q,Z){let $=[[Z.userId,"[user]"],[Z.tenantId,"[tenant]"],[Z.workspaceId,"[workspace]"],[Z.agentId,"[agent]"],[Z.sessionId,"[session]"]],H=Q;for(let[W,Y]of $){if(!W)continue;H=H.split(W).join(Y)}return H}function qQ(Q,Z){return`${Q}: ${Z}`}function MQ(Q){if(typeof Q==="string")return Q;return JSON.stringify(Q)}function E(Q,Z){let $=Q.trim();if($.length<=Z)return $;return`${$.slice(0,Z-3).trimEnd()}...`}function LQ(Q,Z,$,H){let W=$.tokenize(Z??"",H,{excludeStopwords:!0});if(W.length===0)return 0;let Y=new Set($.tokenize(Q,H,{excludeStopwords:!0}));return W.reduce((O,j)=>O+(Y.has(j)?1:0),0)}function y(Q){if(!Q)return 0;let Z=Date.parse(Q);return Number.isNaN(Z)?0:Z}function SQ(Q){return Q!==void 0}function DQ(Q,Z,$){if(!Q)return Z.render({key:"undated"},$);let H=Date.parse(Q);if(Number.isNaN(H))return Z.render({key:"undated"},$);return new Date(H).toISOString().slice(0,10)}var EQ=/sk-[A-Za-z0-9_-]{16,}|ghp_[A-Za-z0-9_]{16,}/u,wQ=/\[redacted-(?:email|url-auth)\]/gu,g=m();function CQ(Q,Z=g){let $=Z.resolveFromText({text:Q});return hQ(Q,Z.analyzeContent(Q,$))}function hQ(Q,Z){return EQ.test(Q)||Z.sensitiveCredential}function d(Q,Z=g){if(!CQ(Q,Z))return Q;return[...new Set([...Q.match(wQ)??[],"[redacted-secret]"])].join(" ")}var RQ=160,bQ=10,yQ=240;function C(Q){let Z=Q?.trim();return Z?Z:null}function s(Q){for(let Z=Q.length-1;Z>=0;Z-=1){let $=Q[Z];if($?.role!=="user")continue;let H=C($.content);if(H)return H}return null}function kQ(Q,Z){if(Q.length<=Z)return Q;return`${Q.slice(0,Math.max(0,Z-3)).trimEnd()}...`}function YQ(Q,Z){return kQ(d(Q.replace(/[A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,}/giu,"[redacted-email]").replace(/\bsk-[A-Za-z0-9_-]{6,}\b/gu,"[redacted-secret]"),Z).replace(/\s+/gu," ").trim(),yQ)}function fQ(Q){let Z=[Q.userText?`user: ${Q.userText}`:void 0,Q.assistantText?`assistant: ${Q.assistantText}`:void 0].filter(($)=>Boolean($));if(Z.length===0)return null;return YQ(Z.join(" | "),Q.language)}function c(Q){return{kind:"remember_candidate",preview:Q.preview,rawTranscriptPersisted:!1,reason:Q.reason}}function o(Q){return{jobId:`runtime-kit-candidate-${TQ("sha256").update(Q).digest("hex").slice(0,16)}`,operation:"remember",payloadPreview:Q,rawTranscriptPersisted:!1,reason:"after_model_call",status:"candidate"}}function r(Q){return Q?.mode==="selective"&&Q.annotation==="durable_candidate"&&Q.policy==="allow"}function xQ(Q){return{scope:Q.scope,locale:Q.locale,messages:[{role:"user",content:Q.userText},{role:"assistant",content:Q.assistantText}],annotations:[{messageIndex:1,remember:"always",confirmed:!0,reason:"runtime-kit selective writeback approved by host annotation and policy"}]}}function l(Q){return{mode:Q,content:"",estimatedTokens:0,omittedSections:[]}}function IQ(Q){return{mode:"fragment",content:Q.builtContext.content,estimatedTokens:Q.builtContext.estimatedTokens,omittedSections:[...Q.builtContext.omittedSections]}}function vQ(Q){let Z=p({appliesTo:Q.retrievalProfile==="coding_agent"?"coding_agent":"general_response",feedback:Q.feedback,query:Q.query,surface:"text_response"}),$=u(Z),H=[...w($),...w(Q.rawCarryover?.packet?.textResponsePlan)],W=a(Z.filter(({policy:O})=>O.enactmentSurface!=="text_response"||!O.applicability.textResponsePlan));if(H.length===0&&W.length===0&&!Q.rawCarryover?.packet?.promptPayload)return IQ({builtContext:Q.builtContext});if(Q.rawCarryover?.debug.mode==="exemplar_only"&&H.length===0&&W.length===0&&Q.rawCarryover.packet?.promptPayload)return{mode:"fragment",content:Q.rawCarryover.packet.promptPayload,estimatedTokens:_(Q.rawCarryover.packet.promptPayload),omittedSections:[]};let Y=[Q.builtContext.content,Q.rawCarryover?.packet?.promptPayload,H.length>0?["Structured response control:","Apply the following controls implicitly. Do not mention memory, earlier notes, or learned rules unless the user directly asks.",...H].join(`
`):void 0,W.length>0?["Behavioral steering:","Apply the following guidance implicitly. Do not mention memory, earlier notes, or learned rules unless the user directly asks.",...W].join(`
`):void 0].filter((O)=>typeof O==="string"&&O.trim().length>0).join(`
`);return{mode:"fragment",content:Y,estimatedTokens:_(Y),omittedSections:[...Q.builtContext.omittedSections]}}function mQ(Q){if(Q.progressiveRecall)return Q.progressiveRecall;if(!Q.progressive)return null;return x({memory:Q.memory,scopeDigestSecret:Q.progressive.scopeDigestSecret,maxDetailPreviewChars:Q.progressive.maxDetailPreviewChars})}async function gQ(Q,Z){if(!Q)return;try{await Q(Z)}catch($){console.error("GoodMemory runtime-kit event callback failed.",$)}}function dQ(Q){return e({id:`${Q.hostKind}-runtime-kit`,hostKind:Q.hostKind,memory:Q.memory})}function GY(Q){let Z=q(Q.memory)?.language,$=mQ(Q),H=Q.defaultContextMode??"fragment",W=Q.defaultMaxMemoryTokens??RQ,Y=t({scopeDigestSecret:Q.scopeDigestSecret??Q.progressive?.scopeDigestSecret},()=>new Date);async function O(G){return await gQ(Q.onRuntimeEvent,G),G}async function j(G,z){return await O({...z,scopeDigest:Y.digestScope(G)})}async function M(G,z){let F=await Q.memory.recall({scope:G.scope,query:z,locale:G.locale,retrievalProfile:G.retrievalProfile,ignoreMemory:!1,...Q.evidenceLedgerFormat?{includeEvidence:!0}:{}}),U=await Q.memory.buildContext({recall:F,output:"system_prompt_fragment",maxTokens:G.maxMemoryTokens??W,...Q.evidenceLedgerFormat?{evidenceLedgerFormat:Q.evidenceLedgerFormat}:{}}),K=await(async()=>{try{let N=G.includeRuntime===!1?null:await Q.memory.runtime.getState({scope:G.scope}).catch(()=>null),J=await Q.memory.exportMemory({includeRuntime:G.includeRuntime,scope:G.scope}),X=(G.retrievalProfile??"general_chat")==="coding_agent"?"host_action":"text_response",V=N?.state?.buffer?.messages?.map((B)=>({content:B.content,role:B.role})).filter((B)=>B.content.trim().length>0)??[],A=i({memoryExport:{durable:{archives:J.durable.archives,episodes:J.durable.episodes,experiences:J.durable.experiences},scope:J.scope},recallHints:{candidateTraces:F.metadata.candidateTraces,hits:F.metadata.hits},runtimeMessages:V,surfaceHint:X});return n({index:A,maxExemplars:X==="host_action"?4:3,query:z,surfaceFamily:X})}catch{return}})();return{context:vQ({builtContext:U,feedback:F.feedback,query:z,rawCarryover:K,retrievalProfile:G.retrievalProfile??"general_chat"}),recall:F}}return{async sessionStart(G){let z=await Q.memory.runtime.startSession({scope:G.scope}),F=await j(G.scope,{phase:"sessionStart",status:"succeeded",traceId:z.traceId});return{state:z.state,traceId:z.traceId,events:[F]}},async beforeModelCall(G){let z=G.contextMode??H;if(G.ignoreMemory){let N=await j(G.scope,{phase:"beforeModelCall",status:"skipped",reason:"ignore_memory",contextMode:z});return{context:l(z),events:[N]}}let F=C(G.query)??s(G.messages??[]);if(!F){let N=await j(G.scope,{phase:"beforeModelCall",status:"skipped",reason:"no_query",contextMode:z});return{context:l(z),events:[N]}}if(z==="progressive"&&$){let N=await $.searchRecallIndex({scope:G.scope,query:F,includeRuntime:G.includeRuntime,retrievalProfile:G.retrievalProfile}),J=$.renderProgressiveContext({index:N,query:F,retrievalProfile:G.retrievalProfile,maxRecords:G.maxProgressiveRecords??bQ,maxTokens:G.maxMemoryTokens??W}),X=await j(G.scope,{phase:"beforeModelCall",status:J.content.trim()?"applied":"skipped",reason:J.content.trim()?void 0:"empty_context",contextMode:"progressive"});return{context:{mode:"progressive",content:J.content,estimatedTokens:J.estimatedTokens,omittedSections:J.omittedRecordCount>0?[`records:${J.omittedRecordCount}`]:[],recordRefs:N.records.map((V)=>V.recordRef)},events:[X]}}let U=await M(G,F),K=await j(G.scope,{phase:"beforeModelCall",status:U.context.content.trim()?"applied":"skipped",reason:U.context.content.trim()?void 0:"empty_context",contextMode:"fragment",fallbackReason:z==="progressive"?"progressive_unavailable":void 0});return{context:U.context,recall:U.recall,events:[K]}},async afterModelCall(G){let z=G.writeback??{mode:"observe"},F=z.mode??"observe",U=C(G.assistantText),K=s(G.messages),N=fQ({assistantText:U,language:Z,userText:K}),J=[],X=[],V;if(F==="observe"&&N)J.push(c({preview:N,reason:"observe"})),X.push(o(N));else if(F==="selective"&&!r(z)&&N)J.push(c({preview:N,reason:"selective_not_allowed"})),X.push(o(N));else if(r(z)&&U&&K)V=await Q.memory.remember(xQ({scope:G.scope,locale:G.locale,userText:K,assistantText:U}));let A=await j(G.scope,{phase:"afterModelCall",status:V||J.length>0?"applied":"skipped",reason:F==="off"?"writeback_off":V||J.length>0?void 0:"no_candidate"});return{boundedJobs:X,candidates:J,events:[A],...V?{rememberResult:V}:{},trace:{candidateCount:J.length,rawTranscriptPersisted:!1,rememberCalled:Boolean(V)}}},async sessionEnd(G){let z=await Q.memory.runtime.endSession({scope:G.scope,archive:G.archive??"off"}),F=await j(G.scope,{phase:"sessionEnd",status:"succeeded",traceId:z.traceId});return{state:z.state,traceId:z.traceId,events:[F]}},async preAction(G){let F=await(Q.hostAdapter??dQ({hostKind:G.intent.hostKind,memory:Q.memory})).assessAction(G.intent),U=QQ({assessment:F,intent:G.intent}),K=await j(G.intent.scope,{phase:"preAction",status:"applied",reason:F.decision});return{assessment:F,executionPlan:U,events:[K]}},async observeToolResult(G){let z=YQ(`${G.toolName}: ${G.summary}`,Z),F=await Q.memory.runtime.updateSessionJournal({scope:G.scope,patch:{appendWorklog:[z]}}),U=await j(G.scope,{phase:"observeToolResult",status:"applied"});return{journal:F.journal,events:[U]}}}}
export{GY as oa};
+1
dist/chunk-hca6pk94.js
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dist/chunk-mer0q3da.js
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dist/chunk-qbwsxv6j.js

Sorry, the diff of this file is too big to display

+2
dist/chunk-t2nckty1.js
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WR({behavioralKind:"first_action",enactmentSurface:"host_action",applicability:{appliesTo:"general_response",canonicalFirstAction:R},transferMode:"pattern_bounded"},M.query)?.raw??R.raw}var GE="session_archives",IE="experiences",PE="learning_proposals",CE="promotion_records";function xR(M,R){return M??R??new Date(0).toISOString()}function _E(M){let R=xR(M.createdAt,M.archivedAt);return{id:M.id,userId:M.userId,tenantId:M.tenantId,workspaceId:M.workspaceId,agentId:M.agentId,sessionId:M.sessionId,sourceSessionIds:M.sourceSessionIds??[M.sessionId],summary:M.summary,normalizedTranscript:M.normalizedTranscript,keyDecisions:M.keyDecisions??[],unresolvedItems:M.unresolvedItems??[],referencedArtifacts:M.referencedArtifacts??[],scopeLineage:M.scopeLineage??[],locale:M.locale,createdAt:R,archivedAt:M.archivedAt??R}}function 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+1
dist/chunk-twkfkw5z.js
import{$b as a}from"./chunk-vmyg0cg8.js";import"./chunk-1anktxtv.js";import"./chunk-1prr29sb.js";export default a();
+2
dist/chunk-vmyg0cg8.js
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export{P as $b};
+306
dist/chunk-vvkxtah3.js
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SELECT id
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INSERT INTO ${F.vectorTable} (
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id,
embedding,
metadata,
content,
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$2,
$3::double precision[],
$4::text::jsonb,
$5,
NOW()
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DO UPDATE SET
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metadata = EXCLUDED.metadata,
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SELECT
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array_to_json(embedding)::text AS embedding_json,
metadata::text AS metadata_json,
content,
0 AS score
FROM ${F.vectorTable}
WHERE collection = $1 AND id = $2
LIMIT 1
`,[O,H]))[0];if(!Q)return null;return{id:Q.id,embedding:z(Q.embedding_json),metadata:z(Q.metadata_json),content:Q.content}},async search(O,H,U){if(U.topK<=0||H.length===0)return[];if(J?.readOnly&&!await F.hasVectorStore())return[];if(!J?.readOnly)await F.ensureVectorStore();let Q=[O],W=A("metadata",U.filter,Q);Q.push(e(H));let X=Q.length;Q.push(U.topK);let _=Q.length;return(await F.sql.unsafe(`
SELECT
id,
array_to_json(embedding)::text AS embedding_json,
metadata::text AS metadata_json,
content,
((embedding::vector <#> $${X}::vector) * -1) AS score
FROM ${F.vectorTable}
WHERE collection = $1${W}
ORDER BY embedding::vector <#> $${X}::vector ASC, id ASC
LIMIT $${_}
`,Q)).map((Y)=>({id:Y.id,embedding:z(Y.embedding_json),metadata:z(Y.metadata_json),content:Y.content,score:Number(Y.score)}))},async delete(O,H){if(J?.readOnly)throw I("vector");await F.ensureVectorStore(),await F.sql.unsafe(`
DELETE FROM ${F.vectorTable}
WHERE collection = $1 AND id = $2
`,[O,H])}}}async function a(G){let F=await R(G).sql.unsafe(`
SELECT
EXISTS (
SELECT 1
FROM pg_extension
WHERE extname = 'vector'
) AS installed,
EXISTS (
SELECT 1
FROM pg_available_extensions
WHERE name = 'vector'
) AS available
`);if(F[0]?.installed)return"installed";if(F[0]?.available)return"available";return"missing"}function FF(G){let J=B(G.schema,r);return{async runExclusive(F){let O=await G.sql.reserve(),H=["goodmemory",G.schema,N].join(":");try{return await O.unsafe("SELECT pg_advisory_lock(hashtextextended($1, 0))",[H]),await F()}finally{try{await O.unsafe("SELECT pg_advisory_unlock(hashtextextended($1, 0))",[H])}finally{O.release()}}},async createDocumentIndex(F){await G.sql.unsafe(F)},ensureDocumentStore:G.ensureDocumentStore,async ensureVersionStore(){await G.sql.unsafe(`
CREATE TABLE IF NOT EXISTS ${J} (
component TEXT PRIMARY KEY,
version INTEGER NOT NULL,
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
)
`)},async getDocumentIndex(F){let H=(await G.sql.unsafe(`
SELECT
pg_get_indexdef(index_relation.oid) AS definition,
index_metadata.indpred IS NOT NULL AS is_partial,
index_metadata.indisready AS is_ready,
index_metadata.indisunique AS is_unique,
index_metadata.indisvalid AS is_valid,
access_method.amname AS method,
table_relation.relname AS table_name,
table_namespace.nspname AS table_schema
FROM pg_class AS index_relation
JOIN pg_namespace AS index_namespace
ON index_namespace.oid = index_relation.relnamespace
JOIN pg_index AS index_metadata
ON index_metadata.indexrelid = index_relation.oid
JOIN pg_class AS table_relation
ON table_relation.oid = index_metadata.indrelid
JOIN pg_namespace AS table_namespace
ON table_namespace.oid = table_relation.relnamespace
JOIN pg_am AS access_method
ON access_method.oid = index_relation.relam
WHERE index_namespace.nspname = $1
AND index_relation.relname = $2
`,[G.schema,F]))[0];return H?{definition:H.definition,isPartial:H.is_partial,isReady:H.is_ready,isUnique:H.is_unique,isValid:H.is_valid,method:H.method,tableName:H.table_name,tableSchema:H.table_schema}:null},async getVersion(){return(await G.sql.unsafe(`
SELECT version
FROM ${J}
WHERE component = $1
`,[N]))[0]?.version??null},async setVersion(F){await G.sql.unsafe(`
INSERT INTO ${J} AS storage_schema (
component,
version,
updated_at
)
VALUES ($1, $2, NOW())
ON CONFLICT (component)
DO UPDATE SET
version = GREATEST(storage_schema.version, EXCLUDED.version),
updated_at = EXCLUDED.updated_at
`,[N,F])}}}function w(G){let J=G.toLocaleLowerCase("en-US"),F=J.startsWith("using ")?0:J.indexOf(" using ");if(F<0)return"";let O=G.slice(F),H=!1,U="";for(let Q=0;Q<O.length;Q+=1){let W=O[Q];if(W==="'"){if(U+=W,H&&O[Q+1]==="'")U+="'",Q+=1;else H=!H;continue}if(H){U+=W;continue}let X=O.slice(Q).toLocaleLowerCase("en-US"),_=["::regconfig","::text"].find(($)=>X.startsWith($));if(_){Q+=_.length-1;continue}if(W==='"'||/\s/.test(W))continue;U+=W.toLocaleLowerCase("en-US")}return U}function h(G,J,F){if(!(F!==null&&F.isValid&&F.isReady&&!F.isUnique&&!F.isPartial&&F.method.toLocaleLowerCase("en-US")===J.method&&F.tableName===C&&F.tableSchema===G&&w(F.definition)===w(J.methodAndKey)))throw Error(`Postgres document index ${G}.${J.name} exists but is invalid or has an unexpected definition. Drop it with DROP INDEX CONCURRENTLY and rerun the migration.`)}function GF(G){console.error(`[GoodMemory Postgres migration] status=${G.status} schema=${G.schema} index=${G.index} elapsedMs=${G.elapsedMs}`)}async function _F(G,J,F){l(G.url);let O=T(G.schema??m,"schema"),H=F?.port??FF(R(G)),U=J?.log??GF;await H.runExclusive(async()=>{await H.ensureDocumentStore(),await H.ensureVersionStore();let Q=await H.getVersion();if(Q!==null&&Q>V)throw Error(`Postgres document index schema ${O} has unsupported version ${Q}.`);for(let W of i){let X=await H.getDocumentIndex(W.name);if(X){h(O,W,X),U({elapsedMs:0,index:W.name,schema:O,status:"current"});continue}let _=Date.now();U({elapsedMs:0,index:W.name,schema:O,status:"creating"}),await H.createDocumentIndex(`CREATE INDEX CONCURRENTLY IF NOT EXISTS ${j(W.name)} ON ${B(O,C)} ${W.methodAndKey}`);let $=await H.getDocumentIndex(W.name);h(O,W,$),U({elapsedMs:Date.now()-_,index:W.name,schema:O,status:"created"})}if(Q!==V)await H.setVersion(V)})}async function HF(G){let J=R(G);await J.ensureDocumentStore(),await J.ensureSessionStore(),await J.ensureVectorStore()}async function JF(G){let J=R(G),[F,O,H]=await Promise.all([J.hasDocumentStore(),J.hasSessionStore(),J.hasVectorStore()]);return F&&O&&H}async function $F(G,J){let F=J?.getVectorExtensionStatus??a,O=J?.hasExistingStorageBackend??JF,H=await F(G);if(H==="missing")return"unusable";if(H!=="installed")return"inconclusive";return await O(G)?"readable":"inconclusive"}async function DF(G,J){let F=J?.getVectorExtensionStatus??a,O=J?.ensureStorageBackend??HF;if(await F(G)==="missing")return!1;return await O(G),!0}export{$F as probeReadOnlyPostgresStorageBackend,_F as migratePostgresStorageBackend,a as getPostgresVectorExtensionStatus,HF as ensurePostgresStorageBackend,ZF as createPostgresVectorStore,YF as createPostgresSessionStore,XF as createPostgresDocumentStore,DF as canBootstrapPostgresStorageBackend};
+19
-8
.well-known/goodmemory.json
{
"schemaVersion": "goodmemory.capability/v2",
"name": "goodmemory",
"version": "0.7.2",
"version": "0.7.3",
"kind": "memory-layer",

@@ -24,5 +24,5 @@ "summary": "Durable user/project memory layer for chat apps, copilots, and coding agents.",

"install": {
"npmGlobal": "npm install -g goodmemory@0.7.2",
"npmPackage": "npm install goodmemory@0.7.2",
"bun": "bun add goodmemory@0.7.2"
"npmGlobal": "npm install -g goodmemory@0.7.3",
"npmPackage": "npm install goodmemory@0.7.3",
"bun": "bun add goodmemory@0.7.3"
},

@@ -33,3 +33,3 @@ "releaseStatus": {

"status": "stable",
"tarball": "goodmemory-0.7.2.tgz"
"tarball": "goodmemory-0.7.3.tgz"
},

@@ -51,3 +51,3 @@ "memoryApi": [

"steps": [
"npm install -g goodmemory@0.7.2",
"npm install -g goodmemory@0.7.3",
"goodmemory setup",

@@ -131,6 +131,17 @@ "goodmemory status"

"benchmarks": {
"currentClaims": [],
"currentClaims": [
{
"claimDeclaration": "benchmark-claims/locomo.json",
"config": "full 10 conversations / 1540 non-adversarial questions",
"measuredPackageVersion": "0.7.3",
"metric": "independent LoCoMo judge-protocol accuracy",
"name": "LoCoMo",
"reference": "benchmark-claims/evidence/locomo-v0.7.3-current.json",
"result": "official 0.8805; strict 0.6266; open-domain 58/96 (0.6042)",
"runtimeProfile": "recommended+provider-embedding+provider-reranking@0.7.3"
}
],
"historicalEvidence": {
"url": "https://github.com/hjqcan/GoodMemory/tree/main/benchmark-claims",
"note": "The v0.6.0 LoCoMo, BEAM, and MemoryAgentBench results, plus older LongMemEval and ImplicitMemBench runs, remain reproducible versioned evidence. None is a current 0.7.2 production claim until rerun against this package line. LongMemEval and ImplicitMemBench remain internal evidence."
"note": "The v0.6.0 LoCoMo, BEAM, and MemoryAgentBench results, plus older LongMemEval and ImplicitMemBench runs, remain reproducible versioned evidence. The current LoCoMo claim is loaded only from the tracked v0.7.3 projection. LongMemEval and ImplicitMemBench remain internal evidence."
}

@@ -137,0 +148,0 @@ },

+1
-1
dist/ai-sdk/index.js

@@ -1,4 +0,4 @@

import{S as Z,T as _,U as $,V as q,W as z,X as U}from"../chunk-0n0n8qnb.js";import{_ as B,aa as r}from"../chunk-jamhwrr7.js";import{oa as d}from"../chunk-4rqvqhtc.js";import"../chunk-m9yws3j1.js";import"../chunk-ftxc0stx.js";import{yb as N}from"../chunk-g7hv64gy.js";import"../chunk-b7j2aytn.js";import"../chunk-36sxnybm.js";import"../chunk-9bjprkrs.js";import"../chunk-14dkxqxk.js";async function k(A,E){let G=N(A);if(!G?.ingestAgentInputEvent)return{recorded:!1,skippedReason:"unsupported_memory"};return G.ingestAgentInputEvent({event:B(E)})}var I=160;function Q(A){return{role:"system",content:A}}function x(A){let{fragment:E,system:G}=A;if(!G)return E;if(typeof G==="string")return`${G}
import{S as Z,T as _,U as $,V as q,W as z,X as U}from"../chunk-qbwsxv6j.js";import{_ as B,aa as r}from"../chunk-jamhwrr7.js";import{oa as d}from"../chunk-cg1156bz.js";import"../chunk-6h5skrp5.js";import"../chunk-24n5gj7d.js";import{yb as N}from"../chunk-t2nckty1.js";import"../chunk-b7j2aytn.js";import"../chunk-mer0q3da.js";import"../chunk-1anktxtv.js";import"../chunk-1prr29sb.js";async function k(A,E){let G=N(A);if(!G?.ingestAgentInputEvent)return{recorded:!1,skippedReason:"unsupported_memory"};return G.ingestAgentInputEvent({event:B(E)})}var I=160;function Q(A){return{role:"system",content:A}}function x(A){let{fragment:E,system:G}=A;if(!G)return E;if(typeof G==="string")return`${G}
${E}`;if(Array.isArray(G))return[...G,Q(E)];return[G,Q(E)]}function V(A){let E=A.trim();return E.length>0?E:null}function O(A){if(typeof A==="string")return V(A);let E=[];for(let G of A)if(G.type==="text"){let M=V(G.text);if(M)E.push(M)}return E.length>0?E.join(`
`):null}function b(A){for(let E=A.length-1;E>=0;E-=1){let G=A[E];if(!G||G.role!=="user")continue;let M=O(G.content);if(M)return M}return null}async function K(A,E){if(!A)return;try{await A(E)}catch(G){console.error("GoodMemory ai-sdk callback failed.",G)}}function F(A){return{phase:"recall",status:"skipped",reason:A.reason,scope:A.scope,retrievalProfile:A.retrievalProfile}}function j(A){return{phase:"remember",status:"skipped",reason:A.reason,scope:A.scope}}function T(A){return A.flatMap((E)=>{let G=O(E.content);if(!G)return[];return[{role:E.role,content:G}]})}function R(A){let E=A.result.events[0];if(E?.status==="applied")return{phase:"recall",status:"applied",scope:A.scope,retrievalProfile:A.retrievalProfile};return F({reason:f(E?.reason),retrievalProfile:A.retrievalProfile,scope:A.scope})}function f(A){if(A==="ignore_memory"||A==="no_query"||A==="empty_context")return A;return"empty_context"}async function W(A,E,G){let M=G.retrievalProfile??A.defaultRetrievalProfile??"general_chat",D=V(G.query??"")??b(G.messages);try{let S=await E.beforeModelCall({scope:G.scope,...D?{query:D}:{},locale:G.locale,ignoreMemory:G.ignoreMemory,retrievalProfile:M,maxMemoryTokens:G.maxMemoryTokens??A.defaultMaxMemoryTokens??I,messages:T(G.messages)});await K(A.onMemoryEvent,R({result:S,retrievalProfile:M,scope:G.scope}));let C=V(S.context.content);if(!C)return{retrievalProfile:M,system:G.system};return{retrievalProfile:M,system:x({system:G.system,fragment:C})}}catch(S){return await K(A.onMemoryError,{phase:"recall",scope:G.scope,error:S}),{retrievalProfile:M,system:G.system}}}async function X(A,E,G,M){let D=T(G.messages);if(G.ignoreMemory){await E.afterModelCall({scope:G.scope,locale:G.locale,messages:D,assistantText:M,writeback:{mode:"off"}}),await K(A.onMemoryEvent,j({reason:"ignore_memory",scope:G.scope}));return}let S=V(M);if(!S){await E.afterModelCall({scope:G.scope,locale:G.locale,messages:D,assistantText:M,writeback:{mode:"selective",annotation:"durable_candidate",policy:"allow"}}),await K(A.onMemoryEvent,j({reason:"no_final_assistant_text",scope:G.scope}));return}if(!b(G.messages)){await E.afterModelCall({scope:G.scope,locale:G.locale,messages:D,assistantText:S,writeback:{mode:"selective",annotation:"durable_candidate",policy:"allow"}}),await K(A.onMemoryEvent,j({reason:"no_text_messages",scope:G.scope}));return}try{let H=(await E.afterModelCall({scope:G.scope,locale:G.locale,messages:D,assistantText:S,writeback:{mode:"selective",annotation:"durable_candidate",policy:"allow"}})).rememberResult;if(!H){await K(A.onMemoryEvent,j({reason:"no_text_messages",scope:G.scope}));return}await K(A.onMemoryEvent,{phase:"remember",status:"succeeded",scope:G.scope,accepted:H.accepted,rejected:H.rejected})}catch(C){await K(A.onMemoryError,{phase:"remember",scope:G.scope,error:C})}}var y=new Set(["content","text","reasoning","reasoningText","files","sources","toolCalls","staticToolCalls","dynamicToolCalls","staticToolResults","dynamicToolResults","toolResults","finishReason","rawFinishReason","usage","totalUsage","warnings","steps","request","response","providerMetadata","output"]),m=new Set(["textStream","fullStream","experimental_partialOutputStream","partialOutputStream","elementStream"]);function g(A,E){return A().then((G)=>G[E])}async function c(A){let E=await A();if(typeof E.getReader==="function")return{reader:E.getReader()};return{iterator:E[Symbol.asyncIterator]()}}function h(A){let E=null,G=()=>{return E??=c(A),E},M=new ReadableStream({async pull(D){try{let S=await G(),C=S.reader?await S.reader.read():await S.iterator.next();if(C.done){S.reader?.releaseLock(),D.close();return}D.enqueue(C.value)}catch(S){D.error(S)}},async cancel(D){let S=await E;await S?.reader?.cancel(D),await S?.iterator?.return?.(),S?.reader?.releaseLock()}});return Object.assign(M,{async*[Symbol.asyncIterator](){let D=M.getReader();try{while(!0){let{done:S,value:C}=await D.read();if(S)break;yield C}}finally{D.releaseLock()}}})}function J(A,E){return h(async()=>{return(await A())[E]})}function l(A,E){return async(...G)=>{let M=await A();return M[E].apply(M,G)}}function Y(A){let{originalMessages:E,generateMessageId:G,onFinish:M,messageMetadata:D,sendReasoning:S,sendSources:C,sendFinish:H,sendStart:w,onError:v,...P}=A&&typeof A==="object"?A:{};return{responseInit:P,streamOptions:{originalMessages:E,generateMessageId:G,onFinish:M,messageMetadata:D,sendReasoning:S,sendSources:C,sendFinish:H,sendStart:w,onError:v}}}function L(A,E){return h(async()=>{return(await A()).toUIMessageStream(E)})}function a(A){let E=null,G=()=>{return E??=A(),E};return new Proxy({},{get(M,D){if(y.has(D))return g(G,D);if(m.has(D))return J(G,D);if(D==="consumeStream")return l(G,"consumeStream");if(D==="toUIMessageStream")return(S)=>L(G,S);if(D==="pipeUIMessageStreamToResponse")return(S,C)=>{let{responseInit:H,streamOptions:w}=Y(C);z({response:S,stream:L(G,w),...H})};if(D==="pipeTextStreamToResponse")return(S,C)=>{$({response:S,textStream:J(G,"textStream"),...C})};if(D==="toUIMessageStreamResponse")return(S)=>{let{responseInit:C,streamOptions:H}=Y(S);return q({stream:L(G,H),...C})};if(D==="toTextStreamResponse")return(S)=>_({textStream:J(G,"textStream"),...S});return}})}function o(A){let E=A.dependencies?.generateText??Z,G=A.dependencies?.streamText??U,M=d({memory:A.memory,defaultContextMode:"fragment",defaultMaxMemoryTokens:A.defaultMaxMemoryTokens??I});return{async generateText(D){let S=await W(A,M,D),C=D.onFinish;return E({...D,system:S.system,messages:D.messages,onFinish:async(H)=>{if(await X(A,M,D,H.text),C)await C(H)}})},streamText(D){return a(async()=>{let S=await W(A,M,D),C=D.onFinish;return G({...D,system:S.system,messages:D.messages,onFinish:async(H)=>{if(await X(A,M,D,H.text),C)await C(H)}})})}}}export{B as validateAgentInputEvent,r as isAgentInputEvent,k as ingestAgentInputEvent,o as createGoodMemoryAISDK};
+1
-1
dist/bin/goodmemory-http-bridge.js
#!/usr/bin/env bun
import{a as d}from"./chunk-0dnmpnqg.js";import{Ja as w,La as T,ta as P,ua as y,va as c}from"./chunk-zzjzm513.js";import"./chunk-jmsnz9jn.js";import{resolve as y$}from"node:path";import{fileURLToPath as c$}from"node:url";var G="phase-39.http-memory.v1",_$=new Set(["export","forget","revise"]);function _($){return Boolean($)&&typeof $==="object"&&!Array.isArray($)}function W($){return typeof $==="string"&&$.trim().length>0}function K($,X){let Z=$[X];if(Z===void 0)return;return W(Z)?Z.trim():void 0}function D$($){if(!_($)||!W($.userId))return{code:"invalid_scope",message:"Expected scope.userId and optional string tenant/workspace/agent/session fields.",ok:!1};for(let j of["tenantId","workspaceId","agentId","sessionId"])if($[j]!==void 0&&!W($[j]))return{code:"invalid_scope",message:"Expected scope.userId and optional string tenant/workspace/agent/session fields.",ok:!1};let X={userId:$.userId.trim()},Z=K($,"tenantId"),U=K($,"workspaceId"),Q=K($,"agentId"),Y=K($,"sessionId");if(Z)X.tenantId=Z;if(U)X.workspaceId=U;if(Q)X.agentId=Q;if(Y)X.sessionId=Y;return{ok:!0,value:X}}function G$($){if(!Array.isArray($)||$.length===0)return{code:"invalid_messages",message:"Expected messages to be a non-empty array.",ok:!1};let X=[];for(let Z of $){if(!_(Z)||!W(Z.role)||!W(Z.content))return{code:"invalid_messages",message:"Expected every message to include role and content string fields.",ok:!1};X.push({content:Z.content,role:Z.role})}return{ok:!0,value:X}}function h($){return $===null||typeof $==="string"||typeof $==="number"||typeof $==="boolean"}function L$($){return $==="profile"||$==="preference"||$==="reference"||$==="fact"||$==="feedback"}function B$($){return $==="always"||$==="never"||$==="auto"}function x($){return $==="blocker"||$==="open_loop"||$==="role_update"||$==="focus_update"||$==="project_state"||$==="generic_project"}function f($){return $==="identity"||$==="project"||$==="runtime"||$==="reference"||$==="preference"}function b($){return $==="do"||$==="dont"||$==="prefer"||$==="validated_pattern"}function g($){return $==="name"||$==="role"||$==="organization"||$==="location"||$==="timezone"||$==="languagePreference"||$==="currentProject"}function m($){return $==="source_of_truth"||$==="runbook"||$==="doc"||$==="dashboard"||$==="tracker"}function M$($){if($===void 0)return{ok:!0,value:void 0};if(!_($))return{code:"invalid_annotations",message:"Expected annotation.metadataPatch to be an object when provided.",ok:!1};for(let Z of["category","factKind","scopeKind","subject","feedbackKind","appliesTo","profileField","preferenceCategory","preferenceValue","referenceKind","referenceTitle","referencePointer","supersedesPointer"])if($[Z]!==void 0&&!W($[Z]))return{code:"invalid_annotations",message:"Expected annotation.metadataPatch string fields to be non-empty strings.",ok:!1};if($.factKind!==void 0&&!x($.factKind))return{code:"invalid_annotations",message:"Expected annotation.metadataPatch.factKind to be a supported fact kind.",ok:!1};if($.scopeKind!==void 0&&!f($.scopeKind))return{code:"invalid_annotations",message:"Expected annotation.metadataPatch.scopeKind to be a supported scope kind.",ok:!1};if($.feedbackKind!==void 0&&!b($.feedbackKind))return{code:"invalid_annotations",message:"Expected annotation.metadataPatch.feedbackKind to be a supported feedback kind.",ok:!1};if($.profileField!==void 0&&!g($.profileField))return{code:"invalid_annotations",message:"Expected annotation.metadataPatch.profileField to be a supported profile field.",ok:!1};if($.referenceKind!==void 0&&!m($.referenceKind))return{code:"invalid_annotations",message:"Expected annotation.metadataPatch.referenceKind to be a supported reference kind.",ok:!1};if($.tags!==void 0&&(!Array.isArray($.tags)||!$.tags.every(W)))return{code:"invalid_annotations",message:"Expected annotation.metadataPatch.tags to be an array of non-empty strings.",ok:!1};if($.attributes!==void 0){if(!_($.attributes))return{code:"invalid_annotations",message:"Expected annotation.metadataPatch.attributes to be an object.",ok:!1};for(let Z of Object.values($.attributes))if(!h(Z))return{code:"invalid_annotations",message:"Expected annotation.metadataPatch.attributes values to be string, number, boolean, or null.",ok:!1}}let X=_($.attributes)?Object.fromEntries(Object.entries($.attributes).filter((Z)=>h(Z[1]))):void 0;return{ok:!0,value:{...W($.category)?{category:$.category}:{},...x($.factKind)?{factKind:$.factKind}:{},...f($.scopeKind)?{scopeKind:$.scopeKind}:{},...W($.subject)?{subject:$.subject}:{},...Array.isArray($.tags)?{tags:[...$.tags]}:{},...X!==void 0?{attributes:X}:{},...b($.feedbackKind)?{feedbackKind:$.feedbackKind}:{},...W($.appliesTo)?{appliesTo:$.appliesTo}:{},...g($.profileField)?{profileField:$.profileField}:{},...W($.preferenceCategory)?{preferenceCategory:$.preferenceCategory}:{},...W($.preferenceValue)?{preferenceValue:$.preferenceValue}:{},...m($.referenceKind)?{referenceKind:$.referenceKind}:{},...W($.referenceTitle)?{referenceTitle:$.referenceTitle}:{},...W($.referencePointer)?{referencePointer:$.referencePointer}:{},...W($.supersedesPointer)?{supersedesPointer:$.supersedesPointer}:{}}}}function z$($){if($===void 0)return{ok:!0,value:void 0};if(!Array.isArray($))return{code:"invalid_annotations",message:"Expected annotations to be an array when provided.",ok:!1};let X=[];for(let Z of $){if(!_(Z))return{code:"invalid_annotations",message:"Expected every annotation to be an object.",ok:!1};let U=Z.messageIndex;if(typeof U!=="number"||!Number.isInteger(U))return{code:"invalid_annotations",message:"Expected every 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annotation to include integer messageIndex.",ok:!1};if(U<0)return{code:"invalid_annotations",message:"Expected annotation.messageIndex to be non-negative.",ok:!1};if(Z.remember!==void 0&&!B$(Z.remember))return{code:"invalid_annotations",message:"Expected annotation.remember to be always, never, or auto.",ok:!1};if(Z.kindHint!==void 0&&!L$(Z.kindHint))return{code:"invalid_annotations",message:"Expected annotation.kindHint to be profile, preference, reference, fact, or feedback.",ok:!1};if(Z.confirmed!==void 0&&typeof Z.confirmed!=="boolean")return{code:"invalid_annotations",message:"Expected annotation.confirmed to be a boolean when provided.",ok:!1};if(Z.verified!==void 0&&typeof Z.verified!=="boolean")return{code:"invalid_annotations",message:"Expected annotation.verified to be a boolean when provided.",ok:!1};if(Z.reason!==void 0&&!W(Z.reason))return{code:"invalid_annotations",message:"Expected annotation.reason to be a non-empty string when provided.",ok:!1};let Q=M$(Z.metadataPatch);if(!Q.ok)return Q;X.push({messageIndex:U,...Z.remember!==void 0?{remember:Z.remember}:{},...Z.kindHint!==void 0?{kindHint:Z.kindHint}:{},...Q.value!==void 0?{metadataPatch:Q.value}:{},...Z.confirmed!==void 0?{confirmed:Z.confirmed}:{},...Z.verified!==void 0?{verified:Z.verified}:{},...W(Z.reason)?{reason:Z.reason}:{}})}return{ok:!0,value:X}}function F$($){if($===void 0)return{ok:!0,value:void 0};if($==="coding_agent"||$==="general_chat")return{ok:!0,value:$};return{code:"invalid_retrieval_profile",message:"Expected retrievalProfile to be general_chat or coding_agent.",ok:!1}}function w$($){if($===void 0)return{ok:!0,value:void 0};if($==="auto"||$==="rules-only"||$==="hybrid")return{ok:!0,value:$};return{code:"invalid_recall_strategy",message:"Expected strategy to be auto, rules-only, or hybrid.",ok:!1}}function O$($){if($===void 0)return{ok:!0,value:"system_prompt_fragment"};if($==="json"||$==="markdown"||$==="system_prompt_fragment"||$==="developer_prompt_fragment")return{ok:!0,value:$};return{code:"invalid_context_output",message:"Expected output to be json, markdown, system_prompt_fragment, or developer_prompt_fragment.",ok:!1}}function K$($){if($===void 0)return{ok:!0,value:void 0};if($==="auto"||$==="rules-only"||$==="llm-assisted")return{ok:!0,value:$};return{code:"invalid_extraction_strategy",message:"Expected extractionStrategy to be auto, rules-only, or llm-assisted.",ok:!1}}function R($,X){if($===void 0&&!X)return{ok:!0,value:void 0};if(W($))return{ok:!0,value:$.trim()};return{code:"invalid_idempotency_key",message:"Expected a non-empty idempotencyKey string.",ok:!1}}function V$($){if($===void 0)return{ok:!0,value:void 0};if(!_($))return{code:"invalid_evidence",message:"Expected evidence to be an object when provided.",ok:!1};if($.source!=="user_message"&&$.source!=="manual_review"&&$.source!=="system")return{code:"invalid_evidence",message:"Expected evidence.source to be user_message, manual_review, or system.",ok:!1};return{ok:!0,value:{source:$.source,...W($.message)?{message:$.message}:{},...W($.excerpt)?{excerpt:$.excerpt}:{},...W($.sourceUri)?{sourceUri:$.sourceUri}:{},...Array.isArray($.sourceMessageIds)?{sourceMessageIds:$.sourceMessageIds.filter(W)}:{}}}}function T$($,X){return{error:{code:$,message:X},ok:!1}}function L($,X){return{body:X,statusCode:$}}function H($,X,Z){return L($,T$(X,Z))}async function P$($){try{let X=await $.json();if(!_(X))return{code:"invalid_json_body",message:"Expected a JSON object request body.",ok:!1};return{ok:!0,value:X}}catch{return{code:"invalid_json_body",message:"Expected a valid JSON object request body.",ok:!1}}}function R$($){let X=$.headers.get("x-goodmemory-user-id")?.trim();if(!X)return null;let U=$.headers.get("x-goodmemory-operations")?.split(",").map((Q)=>Q.trim()).filter(Boolean);return{authorizedOperations:U?.includes("*")?"*":U??[],tenantId:$.headers.get("x-goodmemory-tenant-id")?.trim()||void 0,userId:X,workspaceId:$.headers.get("x-goodmemory-workspace-id")?.trim()||void 0}}function C$($){if(!$.caller)return{authorized:!1,code:"caller_required",message:"The bridge requires a backend-resolved caller identity.",statusCode:401};if($.caller.userId!==$.scope.userId)return{authorized:!1,code:"scope_not_authorized",message:"Caller userId must match scope.userId.",statusCode:403};if($.caller.tenantId&&$.scope.tenantId!==$.caller.tenantId)return{authorized:!1,code:"scope_not_authorized",message:"Request scope.tenantId must be present and match the caller tenantId.",statusCode:403};if($.scope.tenantId&&!$.caller.tenantId)return{authorized:!1,code:"scope_not_authorized",message:"Caller must provide tenantId to authorize tenant-scoped memory.",statusCode:403};if($.caller.workspaceId&&$.scope.workspaceId!==$.caller.workspaceId)return{authorized:!1,code:"scope_not_authorized",message:"Request scope.workspaceId must be present and match the caller workspaceId.",statusCode:403};if($.scope.workspaceId&&!$.caller.workspaceId)return{authorized:!1,code:"scope_not_authorized",message:"Caller must provide workspaceId to authorize workspace-scoped memory.",statusCode:403};if($.sensitive&&$.caller.authorizedOperations!=="*"){if(!$.caller.authorizedOperations.includes($.operation))return{authorized:!1,code:"operation_not_authorized",message:"Caller is not authorized for this scoped memory operation.",statusCode:403}}return{authorized:!0}}function A$($){if(typeof $==="string")return $;return JSON.stringify($)}function M($,X){if(!X||X.content.trim().length===0)return;$.push(X)}function N$($){return Boolean($.profile||$.preferences.length>0||$.references.length>0||$.facts.length>0||$.feedback.length>0||$.archives.length>0||$.episodes.length>0||$.workingMemory||$.journal)}function v($,X=[]){let Z=$.metadata.routingDecision.strategyExplanation,U=new Set([...Z.warnings??[],...X]);if($.metadata.policyApplied?.includes("semantic_candidates_unavailable"))U.add(P);let Q=y({existingMessages:Z.warningMessages,warnings:[...U]});return{...Z.fallbackReason?{fallbackReason:Z.fallbackReason}:{},llmRefinement:Z.llmRefinement,requestedStrategy:Z.requestedStrategy,resolvedStrategy:Z.resolvedStrategy,semanticTieBreaking:Z.semanticTieBreaking,...Q.length>0?{warningMessages:Q}:{},...U.size>0?{warnings:[...U]}:{}}}function q$($){if($.requestedStrategy!=="auto"||$.runtimeInfo?.embeddingEnabled!==!0||$.runtimeInfo.retrievalPreset)return[];return($.recall.metadata.routingDecision.strategyExplanation.resolvedStrategy??$.recall.metadata.routingDecision.strategy)==="rules-only"?[P]:[]}function I$($){return{...v($.recall),fallbackReason:"provider_error",providerFallback:{reason:"provider_error",recoveredStrategy:"rules-only"},requestedStrategy:$.requestedStrategy,resolvedStrategy:"rules-only",semanticTieBreaking:!1}}function E$($){let X=[];if($.profile){let Z=[$.profile.identity.name,$.profile.identity.role,$.profile.identity.organization,...$.profile.activeContext.goals,...$.profile.activeContext.currentProjects].filter(W);M(X,{content:Z.join("; "),memoryId:`profile:${$.profile.userId}`,source:"goodmemory",type:"profile"})}for(let Z of $.preferences)M(X,{category:Z.category,confidence:Z.confidence,content:`${Z.category}: ${A$(Z.value)}`,memoryId:Z.id,source:"goodmemory",tags:Z.tags,type:"preference"});for(let Z of $.references)M(X,{category:Z.referenceKind,confidence:Z.confidence,content:Z.description?`${Z.title}: ${Z.pointer} - ${Z.description}`:`${Z.title}: ${Z.pointer}`,memoryId:Z.id,source:"goodmemory",tags:Z.tags,type:"reference"});for(let Z of $.facts)M(X,{category:Z.category,confidence:Z.confidence,content:Z.content,memoryId:Z.id,source:"goodmemory",tags:Z.tags,type:"fact"});for(let Z of $.feedback)M(X,{category:Z.kind,confidence:Z.confidence,content:Z.rule,memoryId:Z.id,source:"goodmemory",tags:Z.tags,type:"feedback"});for(let Z of $.episodes)M(X,{confidence:Z.confidence,content:Z.summary,memoryId:Z.id,source:"goodmemory",tags:Z.topics,type:"episode"});if($.workingMemory)M(X,{content:[$.workingMemory.currentGoal,...$.workingMemory.openLoops,...$.workingMemory.temporaryDecisions??[]].filter(W).join("; "),memoryId:`working-memory:${$.workingMemory.userId}:${$.workingMemory.sessionId}`,source:"goodmemory",type:"working_memory"});if($.journal)M(X,{content:[$.journal.currentState,$.journal.taskSpecification,...$.journal.workflow??[],...$.journal.errorsAndCorrections??[],...$.journal.learnings??[],...$.journal.keyResults??[],...$.journal.worklog].filter(W).join("; "),memoryId:`session-journal:${$.journal.userId}:${$.journal.sessionId}`,source:"goodmemory",type:"session_journal"});return X}async function S$($,X,Z){if(!W(X.query))return H(400,"invalid_query","Expected query to be a non-empty string.");let U=F$(X.retrievalProfile);if(!U.ok)return H(400,U.code,U.message);let Q=w$(X.strategy);if(!Q.ok)return H(400,Q.code,Q.message);let Y=O$(X.output);if(!Y.ok)return H(400,Y.code,Y.message);let j=typeof X.maxTokens==="number"&&Number.isFinite(X.maxTokens)?Math.max(1,Math.floor(X.maxTokens)):void 0,J=Q.value??"auto",D=w($),z=D?.retrievalPreset!==void 0?J:J==="hybrid"?"hybrid":"rules-only",q={scope:Z,query:X.query,...U.value?{retrievalProfile:U.value}:{},strategy:z},B,I=void 0;try{B=await $.recall(q)}catch(k){if(J==="rules-only"||!c(k))throw k;B=await $.recall({...q,strategy:"rules-only"}),I=I$({recall:B,requestedStrategy:J})}let F=await $.buildContext({recall:B,output:Y.value,...j?{maxTokens:j}:{}}),E=E$(B),S=F.traceId??B.metadata.traceId;return L(200,{context:{content:F.content,estimatedTokens:F.estimatedTokens,omittedSections:F.omittedSections,output:F.output},contextText:F.content,contractVersion:G,hasContext:N$(B),itemCount:E.length,items:E,ok:!0,operation:"recall-context",routing:I??{...v(B,q$({recall:B,requestedStrategy:J,runtimeInfo:D})),requestedStrategy:J},...S?{traceId:S}:{}})}async function k$($,X,Z){let U=G$(X.messages);if(!U.ok)return H(400,U.code,U.message);let Q=z$(X.annotations);if(!Q.ok)return H(400,Q.code,Q.message);let Y=K$(X.extractionStrategy);if(!Y.ok)return H(400,Y.code,Y.message);let j=X.mode===void 0?"sync":X.mode;if(j!=="sync"&&j!=="async")return H(400,"invalid_mode","Expected mode to be sync or async.");let J=R(X.idempotencyKey,j==="async");if(!J.ok)return H(400,J.code,J.message);let D={scope:Z,messages:U.value,...Q.value?{annotations:Q.value}:{},...Y.value?{extractionStrategy:Y.value}:{},...W(X.locale)?{locale:X.locale}:{}};if(j==="async")try{let z=await $.jobs.enqueueRemember({...D,idempotencyKey:J.value,reason:"manual_enqueue"});return L(200,{contractVersion:G,idempotency:{handledBy:"goodmemory_jobs",key:J.value},job:z,mode:j,ok:!0,operation:"remember"})}catch(z){if(_(z)&&z.code==="idempotency_conflict")return H(409,"idempotency_conflict","GoodMemory job idempotency key already exists for a different payload.");throw z}let N=await $.remember(D);return L(200,{contractVersion:G,idempotency:J.value?{handledBy:"consumer_provenance_only",key:J.value}:{handledBy:"none"},mode:j,ok:!0,operation:"remember",result:N})}async function h$($,X,Z){if(!W(X.signal))return H(400,"invalid_signal","Expected signal to be a non-empty string.");let U=R(X.idempotencyKey,!0);if(!U.ok)return H(400,U.code,U.message);let Q=_(X.source)?X.source:{},Y=await $.feedback({scope:Z,signal:X.signal,...W(X.locale)?{locale:X.locale}:{}});return L(200,{contractVersion:G,idempotency:{handledBy:"consumer_provenance_only",key:U.value},ok:!0,operation:"feedback",provenance:{...W(Q.eventId)?{eventId:Q.eventId}:{},...W(Q.proposalId)?{proposalId:Q.proposalId}:{},...W(Q.reason)?{reason:Q.reason}:{},...W(Q.reviewDecision)?{reviewDecision:Q.reviewDecision}:{},...W(Q.system)?{system:Q.system}:{}},result:Y})}async function x$($,X,Z){if(!W(X.memoryId))return H(400,"invalid_memory_id","Expected memoryId to be a non-empty string.");let U=await $.forget({memoryId:X.memoryId,scope:Z});return L(200,{contractVersion:G,ok:!0,operation:"forget",result:U})}async function f$($,X,Z){let U=X.includeRuntime===!0,Q=await $.exportMemory({includeRuntime:U,scope:Z});return L(200,{contractVersion:G,exported:Q,includeRuntime:U,ok:!0,operation:"export"})}async function b$($,X,Z){let U=_(X.target)?X.target:null;if(!U||!W(U.memoryId))return H(400,"target_memory_id_required","Expected target.memoryId. Query-resolved revision targets are out of scope.");if(!_(X.revision)||!W(X.revision.content))return H(400,"invalid_revision","Expected revision.content to be a non-empty string.");if(!W(X.reason))return H(400,"invalid_reason","Expected reason to be a non-empty string.");let Q=R(X.idempotencyKey,!0);if(!Q.ok)return H(400,Q.code,Q.message);let Y=Q.value;if(!Y)return H(400,"invalid_idempotency_key","Expected a non-empty idempotencyKey string.");let j=V$(X.evidence);if(!j.ok)return H(400,j.code,j.message);let J=await $.reviseMemory({evidence:j.value,idempotencyKey:Y,reason:X.reason,revision:{content:X.revision.content},scope:Z,target:{memoryId:U.memoryId}});return L(200,{contractVersion:G,idempotency:{handledBy:"goodmemory_revision",key:Y},ok:!0,operation:"revise",result:J})}function g$($){if($==="/memory/recall-context")return"recall-context";if($==="/memory/remember")return"remember";if($==="/memory/feedback")return"feedback";if($==="/memory/forget")return"forget";if($==="/memory/export")return"export";if($==="/memory/revise")return"revise";return null}async function m$($){if($.operation==="recall-context")return S$($.memory,$.body,$.scope);if($.operation==="remember")return k$($.memory,$.body,$.scope);if($.operation==="feedback")return h$($.memory,$.body,$.scope);if($.operation==="forget")return x$($.memory,$.body,$.scope);if($.operation==="export")return f$($.memory,$.body,$.scope);return b$($.memory,$.body,$.scope)}function p($){let X=$.resolveCaller??R$,Z=$.authorize??C$;async function U(Q){if(Q.method==="GET"&&new URL(Q.url).pathname==="/healthz")return L(200,{...$.healthMetadata??{},contractVersion:G,ok:!0,status:"ok"});if(Q.method==="GET"&&new URL(Q.url).pathname==="/.well-known/goodmemory.json")return L(200,d());if(Q.method!=="POST")return H(405,"method_not_allowed","GoodMemory bridge endpoints require POST.");let Y=g$(new URL(Q.url).pathname);if(!Y)return H(404,"not_found","Unknown GoodMemory bridge endpoint.");let j=await P$(Q);if(!j.ok)return H(400,j.code,j.message);let J=D$(j.value.scope);if(!J.ok)return H(400,J.code,J.message);let D=await Z({body:j.value,caller:X(Q,j.value),operation:Y,request:Q,scope:J.value,sensitive:_$.has(Y)});if(!D.authorized)return H(D.statusCode??403,D.code??"operation_not_authorized",D.message??"Caller is not authorized for this memory operation.");try{return await m$({body:j.value,memory:$.memory,operation:Y,scope:J.value})}catch{return H(500,"bridge_operation_failed","GoodMemory bridge operation failed.")}}return{async fetch(Q){let Y=await U(Q);return new Response(JSON.stringify(Y.body),{headers:{"content-type":"application/json"},status:Y.statusCode})},handle:U}}function s(){return{preset:"default",profiles:[{assistantOutputs:{mode:"confirmed_or_verified_only"},extends:"default",id:"life-coach",when:{agentId:"life-coach"}}]}}var a="127.0.0.1",t=8739,e="GOODMEMORY_HTTP_BRIDGE_HOST",$$="GOODMEMORY_HTTP_BRIDGE_PORT",C="GOODMEMORY_HTTP_BRIDGE_TOKEN",A="GOODMEMORY_HTTP_BRIDGE_AUTH",X$="x-goodmemory-bridge-auth",Z$="GOODMEMORY_HTTP_BRIDGE_PROFILE",Q$="GOODMEMORY_HTTP_BRIDGE_RETRIEVAL_PRESET",U$="GOODMEMORY_HTTP_BRIDGE_RECOMMENDED",W$="GOODMEMORY_PROFILE",Y$="GOODMEMORY_HTTP_BRIDGE_ALLOW_INSECURE";function d$(){console.log(`GoodMemory HTTP memory bridge

@@ -4,0 +4,0 @@ Usage:

+1
-1
dist/bin/goodmemory-mcp.js
#!/usr/bin/env bun
import{$ as k,_ as j,aa as q,ba as g}from"./chunk-t4djxrsg.js";import"./chunk-zzjzm513.js";import"./chunk-gqbzz1dr.js";import"./chunk-djzzs7r6.js";import"./chunk-jmsnz9jn.js";import{resolve as u}from"node:path";import{fileURLToPath as x}from"node:url";async function z(){let b=j({argv:process.argv.slice(2),env:process.env});if(b.mode==="error")process.stderr.write(`${b.message}
import{$ as k,_ as j,aa as q,ba as g}from"./chunk-dghzpnkh.js";import"./chunk-8zdrt99e.js";import"./chunk-xgd5q2c0.js";import"./chunk-ja7rc94g.js";import"./chunk-692tsf9n.js";import{resolve as u}from"node:path";import{fileURLToPath as x}from"node:url";async function z(){let b=j({argv:process.argv.slice(2),env:process.env});if(b.mode==="error")process.stderr.write(`${b.message}
`),process.exit(1);if(b.mode==="standalone"){q(b.config),await g({allowWrite:b.allowWrite,standalone:b.config});return}await g({allowWrite:b.allowWrite||await k({host:b.host}),host:b.host})}if(process.argv[1]!==void 0&&x(import.meta.url)===u(process.argv[1]))await z();
+2
-0
dist/domain/evolutionRecords.d.ts

@@ -15,4 +15,6 @@ export declare const SESSION_ARCHIVES_COLLECTION = "session_archives";

tokenCount?: number;
/** @deprecated since 0.7.3. New recall experiences omit this metric. */
touchedFactCount?: number;
verificationPressureFactCount?: number;
/** @deprecated since 0.7.3. New recall experiences omit this metric. */
reinforcedFeedbackCount?: number;

@@ -19,0 +21,0 @@ }

+3
-0
dist/domain/records.d.ts

@@ -82,3 +82,5 @@ import type { MemoryScope } from "./scope";

subject?: string;
/** @deprecated since 0.7.3. Preserved for compatibility; retrieval exposure is no longer recorded or ranked. */
accessCount: number;
/** @deprecated since 0.7.3. Preserved for compatibility; retrieval exposure is no longer recorded or ranked. */
lastAccessedAt?: string;

@@ -163,2 +165,3 @@ verificationPressureCount?: number;

lifecycle: MemoryLifecycleState;
/** @deprecated since 0.7.3. Preserved for compatibility; retrieval exposure is no longer recorded or ranked. */
lastUsedAt?: string;

@@ -165,0 +168,0 @@ updatedAt: string;

+1
-0
dist/domain/scope.d.ts

@@ -12,1 +12,2 @@ export interface MemoryScope {

export declare function isSameScope(left: MemoryScope, right: MemoryScope): boolean;
export declare function isSameDurableScope(left: MemoryScope, right: MemoryScope): boolean;
+2
-0
dist/evolution/observation-results.d.ts

@@ -35,5 +35,7 @@ import type { ExperienceModelInfluence } from "./contracts";

preferences: ObservationLinkedRecord[];
/** @deprecated since 0.7.3. Accepted for compatibility and ignored. */
reinforcedFeedbackCount?: number;
references: ObservationLinkedRecord[];
strategy: "auto" | "hybrid" | "llm-assisted" | "rules-only";
/** @deprecated since 0.7.3. Accepted for compatibility and ignored. */
touchedFactCount?: number;

@@ -40,0 +42,0 @@ tokenCount: number;

+1
-1
dist/host/index.js

@@ -1,1 +0,1 @@

import{$ as t,ba as r}from"../chunk-jamhwrr7.js";import{Ea as c,Fa as H,Ga as A,Ha as a,Ia as d}from"../chunk-ftxc0stx.js";import{yb as o}from"../chunk-g7hv64gy.js";import"../chunk-b7j2aytn.js";import"../chunk-14dkxqxk.js";async function s(n,i){let e=o(n);if(!e?.ingestHostAgentEvent)return{recorded:!1,skippedReason:"unsupported_memory"};return e.ingestHostAgentEvent({event:t(i)})}export{t as validateHostAgentEvent,H as validateHostActionIntent,d as resolveHostActionExecutionPlan,r as isHostAgentEvent,A as isHostActionIntent,s as ingestHostAgentEvent,a as createHostAdapter,c as HostAdapterWriteError};
import{$ as t,ba as r}from"../chunk-jamhwrr7.js";import{Ea as c,Fa as H,Ga as A,Ha as a,Ia as d}from"../chunk-24n5gj7d.js";import{yb as o}from"../chunk-t2nckty1.js";import"../chunk-b7j2aytn.js";import"../chunk-1prr29sb.js";async function s(n,i){let e=o(n);if(!e?.ingestHostAgentEvent)return{recorded:!1,skippedReason:"unsupported_memory"};return e.ingestHostAgentEvent({event:t(i)})}export{t as validateHostAgentEvent,H as validateHostActionIntent,d as resolveHostActionExecutionPlan,r as isHostAgentEvent,A as isHostActionIntent,s as ingestHostAgentEvent,a as createHostAdapter,c as HostAdapterWriteError};
+1
-1
dist/http/index.js

@@ -1,1 +0,1 @@

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None is a current ${X} production claim until rerun against this package line. LongMemEval and ImplicitMemBench remain internal evidence.`}},capabilities:{localFirst:!0,embeddingFreeDefault:!0,builtInLanguagePacks:["en","zh-Hans","zh-Hant","ja","ko","fr","es"],durableStore:"sqlite (default), postgres (opt-in)",audit:!0,deletion:!0,localInspector:"goodmemory inspector serve (loopback-only React console and /admin/v1 API)",correctByDefaultRecall:"Recall never silently degrades: a downgraded strategy carries routing.warnings (semantic_recall_inactive) and routing.warningMessages (semantic recall inactive — set strategy:hybrid + RETRIEVAL_PRESET) instead of quietly returning the lexical floor."},canonicalSources:{prose:`${A}#readme`,benchmarks:`${A}/tree/main/benchmark-claims`,note:"Benchmark entries keep explicit measuredPackageVersion provenance; a package version bump never relabels historical results. 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Z=u(X.metadataPatch);if(!Z.ok)return Z;Y.push({messageIndex:$,...X.remember!==void 0?{remember:X.remember}:{},...X.kindHint!==void 0?{kindHint:X.kindHint}:{},...Z.value!==void 0?{metadataPatch:Z.value}:{},...X.confirmed!==void 0?{confirmed:X.confirmed}:{},...X.verified!==void 0?{verified:X.verified}:{},...L(X.reason)?{reason:X.reason}:{}})}return{ok:!0,value:Y}}function t(Q){if(Q===void 0)return{ok:!0,value:void 0};if(Q==="coding_agent"||Q==="general_chat")return{ok:!0,value:Q};return{code:"invalid_retrieval_profile",message:"Expected retrievalProfile to be general_chat or coding_agent.",ok:!1}}function a(Q){if(Q===void 0)return{ok:!0,value:void 0};if(Q==="auto"||Q==="rules-only"||Q==="hybrid")return{ok:!0,value:Q};return{code:"invalid_recall_strategy",message:"Expected strategy to be auto, rules-only, or hybrid.",ok:!1}}function e(Q){if(Q===void 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H(Q,Y){if(!Y||Y.content.trim().length===0)return;Q.push(Y)}function WQ(Q){return Boolean(Q.profile||Q.preferences.length>0||Q.references.length>0||Q.facts.length>0||Q.feedback.length>0||Q.archives.length>0||Q.episodes.length>0||Q.workingMemory||Q.journal)}function d(Q,Y=[]){let X=Q.metadata.routingDecision.strategyExplanation,$=new Set([...X.warnings??[],...Y]);if(Q.metadata.policyApplied?.includes("semantic_candidates_unavailable"))$.add(M);let Z=g({existingMessages:X.warningMessages,warnings:[...$]});return{...X.fallbackReason?{fallbackReason:X.fallbackReason}:{},llmRefinement:X.llmRefinement,requestedStrategy:X.requestedStrategy,resolvedStrategy:X.resolvedStrategy,semanticTieBreaking:X.semanticTieBreaking,...Z.length>0?{warningMessages:Z}:{},...$.size>0?{warnings:[...$]}:{}}}function _Q(Q){if(Q.requestedStrategy!=="auto"||Q.runtimeInfo?.embeddingEnabled!==!0||Q.runtimeInfo.retrievalPreset)return[];return(Q.recall.metadata.routingDecision.strategyExplanation.resolvedStrategy??Q.recall.metadata.routingDecision.strategy)==="rules-only"?[M]:[]}function AQ(Q){return{...d(Q.recall),fallbackReason:"provider_error",providerFallback:{reason:"provider_error",recoveredStrategy:"rules-only"},requestedStrategy:Q.requestedStrategy,resolvedStrategy:"rules-only",semanticTieBreaking:!1}}function FQ(Q){let Y=[];if(Q.profile){let X=[Q.profile.identity.name,Q.profile.identity.role,Q.profile.identity.organization,...Q.profile.activeContext.goals,...Q.profile.activeContext.currentProjects].filter(L);H(Y,{content:X.join("; "),memoryId:`profile:${Q.profile.userId}`,source:"goodmemory",type:"profile"})}for(let X of Q.preferences)H(Y,{category:X.category,confidence:X.confidence,content:`${X.category}: ${jQ(X.value)}`,memoryId:X.id,source:"goodmemory",tags:X.tags,type:"preference"});for(let X of Q.references)H(Y,{category:X.referenceKind,confidence:X.confidence,content:X.description?`${X.title}: ${X.pointer} - ${X.description}`:`${X.title}: ${X.pointer}`,memoryId:X.id,source:"goodmemory",tags:X.tags,type:"reference"});for(let X of Q.facts)H(Y,{category:X.category,confidence:X.confidence,content:X.content,memoryId:X.id,source:"goodmemory",tags:X.tags,type:"fact"});for(let X of Q.feedback)H(Y,{category:X.kind,confidence:X.confidence,content:X.rule,memoryId:X.id,source:"goodmemory",tags:X.tags,type:"feedback"});for(let X of Q.episodes)H(Y,{confidence:X.confidence,content:X.summary,memoryId:X.id,source:"goodmemory",tags:X.topics,type:"episode"});if(Q.workingMemory)H(Y,{content:[Q.workingMemory.currentGoal,...Q.workingMemory.openLoops,...Q.workingMemory.temporaryDecisions??[]].filter(L).join("; "),memoryId:`working-memory:${Q.workingMemory.userId}:${Q.workingMemory.sessionId}`,source:"goodmemory",type:"working_memory"});if(Q.journal)H(Y,{content:[Q.journal.currentState,Q.journal.taskSpecification,...Q.journal.workflow??[],...Q.journal.errorsAndCorrections??[],...Q.journal.learnings??[],...Q.journal.keyResults??[],...Q.journal.worklog].filter(L).join("; "),memoryId:`session-journal:${Q.journal.userId}:${Q.journal.sessionId}`,source:"goodmemory",type:"session_journal"});return Y}async function BQ(Q,Y,X){if(!L(Y.query))return W(400,"invalid_query","Expected query to be a non-empty string.");let $=t(Y.retrievalProfile);if(!$.ok)return W(400,$.code,$.message);let Z=a(Y.strategy);if(!Z.ok)return W(400,Z.code,Z.message);let U=e(Y.output);if(!U.ok)return W(400,U.code,U.message);let j=typeof Y.maxTokens==="number"&&Number.isFinite(Y.maxTokens)?Math.max(1,Math.floor(Y.maxTokens)):void 0,_=Z.value??"auto",B=y(Q),J=B?.retrievalPreset!==void 0?_:_==="hybrid"?"hybrid":"rules-only",R={scope:X,query:Y.query,...$.value?{retrievalProfile:$.value}:{},strategy:J},V,k=void 0;try{V=await Q.recall(R)}catch(h){if(_==="rules-only"||!m(h))throw h;V=await Q.recall({...R,strategy:"rules-only"}),k=AQ({recall:V,requestedStrategy:_})}let T=await Q.buildContext({recall:V,output:U.value,...j?{maxTokens:j}:{}}),x=FQ(V),P=T.traceId??V.metadata.traceId;return G(200,{context:{content:T.content,estimatedTokens:T.estimatedTokens,omittedSections:T.omittedSections,output:T.output},contextText:T.content,contractVersion:D,hasContext:WQ(V),itemCount:x.length,items:x,ok:!0,operation:"recall-context",routing:k??{...d(V,_Q({recall:V,requestedStrategy:_,runtimeInfo:B})),requestedStrategy:_},...P?{traceId:P}:{}})}async function GQ(Q,Y,X){let $=o(Y.messages);if(!$.ok)return W(400,$.code,$.message);let Z=l(Y.annotations);if(!Z.ok)return W(400,Z.code,Z.message);let U=QQ(Y.extractionStrategy);if(!U.ok)return W(400,U.code,U.message);let j=Y.mode===void 0?"sync":Y.mode;if(j!=="sync"&&j!=="async")return W(400,"invalid_mode","Expected mode to be sync or async.");let _=K(Y.idempotencyKey,j==="async");if(!_.ok)return W(400,_.code,_.message);let B={scope:X,messages:$.value,...Z.value?{annotations:Z.value}:{},...U.value?{extractionStrategy:U.value}:{},...L(Y.locale)?{locale:Y.locale}:{}};if(j==="async")try{let J=await Q.jobs.enqueueRemember({...B,idempotencyKey:_.value,reason:"manual_enqueue"});return G(200,{contractVersion:D,idempotency:{handledBy:"goodmemory_jobs",key:_.value},job:J,mode:j,ok:!0,operation:"remember"})}catch(J){if(F(J)&&J.code==="idempotency_conflict")return W(409,"idempotency_conflict","GoodMemory job idempotency key already exists for a different payload.");throw J}let O=await Q.remember(B);return G(200,{contractVersion:D,idempotency:_.value?{handledBy:"consumer_provenance_only",key:_.value}:{handledBy:"none"},mode:j,ok:!0,operation:"remember",result:O})}async function VQ(Q,Y,X){if(!L(Y.signal))return W(400,"invalid_signal","Expected signal to be a non-empty string.");let $=K(Y.idempotencyKey,!0);if(!$.ok)return W(400,$.code,$.message);let Z=F(Y.source)?Y.source:{},U=await Q.feedback({scope:X,signal:Y.signal,...L(Y.locale)?{locale:Y.locale}:{}});return G(200,{contractVersion:D,idempotency:{handledBy:"consumer_provenance_only",key:$.value},ok:!0,operation:"feedback",provenance:{...L(Z.eventId)?{eventId:Z.eventId}:{},...L(Z.proposalId)?{proposalId:Z.proposalId}:{},...L(Z.reason)?{reason:Z.reason}:{},...L(Z.reviewDecision)?{reviewDecision:Z.reviewDecision}:{},...L(Z.system)?{system:Z.system}:{}},result:U})}async function HQ(Q,Y,X){if(!L(Y.memoryId))return W(400,"invalid_memory_id","Expected memoryId to be a non-empty string.");let $=await Q.forget({memoryId:Y.memoryId,scope:X});return G(200,{contractVersion:D,ok:!0,operation:"forget",result:$})}async function DQ(Q,Y,X){let $=Y.includeRuntime===!0,Z=await Q.exportMemory({includeRuntime:$,scope:X});return G(200,{contractVersion:D,exported:Z,includeRuntime:$,ok:!0,operation:"export"})}async function JQ(Q,Y,X){let $=F(Y.target)?Y.target:null;if(!$||!L($.memoryId))return W(400,"target_memory_id_required","Expected target.memoryId. Query-resolved revision targets are out of scope.");if(!F(Y.revision)||!L(Y.revision.content))return W(400,"invalid_revision","Expected revision.content to be a non-empty string.");if(!L(Y.reason))return W(400,"invalid_reason","Expected reason to be a non-empty string.");let Z=K(Y.idempotencyKey,!0);if(!Z.ok)return W(400,Z.code,Z.message);let U=Z.value;if(!U)return W(400,"invalid_idempotency_key","Expected a non-empty idempotencyKey string.");let j=XQ(Y.evidence);if(!j.ok)return W(400,j.code,j.message);let _=await Q.reviseMemory({evidence:j.value,idempotencyKey:U,reason:Y.reason,revision:{content:Y.revision.content},scope:X,target:{memoryId:$.memoryId}});return G(200,{contractVersion:D,idempotency:{handledBy:"goodmemory_revision",key:U},ok:!0,operation:"revise",result:_})}function TQ(Q){if(Q==="/memory/recall-context")return"recall-context";if(Q==="/memory/remember")return"remember";if(Q==="/memory/feedback")return"feedback";if(Q==="/memory/forget")return"forget";if(Q==="/memory/export")return"export";if(Q==="/memory/revise")return"revise";return null}async function zQ(Q){if(Q.operation==="recall-context")return BQ(Q.memory,Q.body,Q.scope);if(Q.operation==="remember")return GQ(Q.memory,Q.body,Q.scope);if(Q.operation==="feedback")return VQ(Q.memory,Q.body,Q.scope);if(Q.operation==="forget")return HQ(Q.memory,Q.body,Q.scope);if(Q.operation==="export")return DQ(Q.memory,Q.body,Q.scope);return JQ(Q.memory,Q.body,Q.scope)}function kQ(Q){let Y=Q.resolveCaller??$Q,X=Q.authorize??LQ;async function $(Z){if(Z.method==="GET"&&new URL(Z.url).pathname==="/healthz")return G(200,{...Q.healthMetadata??{},contractVersion:D,ok:!0,status:"ok"});if(Z.method==="GET"&&new URL(Z.url).pathname==="/.well-known/goodmemory.json")return G(200,I());if(Z.method!=="POST")return W(405,"method_not_allowed","GoodMemory bridge endpoints require POST.");let U=TQ(new URL(Z.url).pathname);if(!U)return W(404,"not_found","Unknown GoodMemory bridge endpoint.");let j=await ZQ(Z);if(!j.ok)return W(400,j.code,j.message);let _=i(j.value.scope);if(!_.ok)return W(400,_.code,_.message);let B=await X({body:j.value,caller:Y(Z,j.value),operation:U,request:Z,scope:_.value,sensitive:v.has(U)});if(!B.authorized)return W(B.statusCode??403,B.code??"operation_not_authorized",B.message??"Caller is not authorized for this memory operation.");try{return await zQ({body:j.value,memory:Q.memory,operation:U,scope:_.value})}catch{return W(500,"bridge_operation_failed","GoodMemory bridge operation failed.")}}return{async fetch(Z){let U=await $(Z);return new Response(JSON.stringify(U.body),{headers:{"content-type":"application/json"},status:U.statusCode})},handle:$}}function xQ(){return{preset:"default",profiles:[{assistantOutputs:{mode:"confirmed_or_verified_only"},extends:"default",id:"life-coach",when:{agentId:"life-coach"}}]}}function PQ(Q){if(Q.ok!==!0||!Array.isArray(Q.items))throw Error("Expected a successful GoodMemory recall-context response.");let Y=Q.items.filter(F).map((X)=>({content:L(X.content)?X.content:"",memoryId:L(X.memoryId)?X.memoryId:"",type:typeof X.type==="string"?X.type:"fact"})).filter((X)=>X.memoryId.length>0&&X.content.length>0);return{context:typeof Q.contextText==="string"?Q.contextText:"",memories:Y.map((X)=>({id:X.memoryId,kind:X.type,source:"goodmemory-http-bridge",text:X.content})),metadata:{hasContext:Q.hasContext===!0,itemCount:typeof Q.itemCount==="number"?Q.itemCount:Y.length,policyBoundary:"product_owned",source:"goodmemory-http-bridge",...L(Q.traceId)?{traceId:Q.traceId}:{}}}}function hQ(Q){return UQ({agentId:Q.agentId??"life-coach",sessionId:Q.sessionId,tenantId:Q.tenantId,userId:Q.userId,workspaceId:Q.workspaceId})}export{PQ as toOneLifeMemoryContextResponse,hQ as toLifeCoachScope,xQ as createLifeCoachHttpRememberConfig,kQ as createGoodMemoryHttpMemoryBridge,FQ as buildGoodMemoryHttpMemoryItems,D as GOODMEMORY_HTTP_MEMORY_BRIDGE_CONTRACT_VERSION};
import{ca as h,da as d,ia as c,na as p}from"../chunk-e5bhvzqx.js";import"../chunk-b7j2aytn.js";import"../chunk-1prr29sb.js";import{readFileSync as O}from"node:fs";var v=new URL("../../package.json",import.meta.url),i="0.7.3",M=new URL("../../benchmark-claims/evidence/locomo-v0.7.3-current.json",import.meta.url),T;function o(){if(T)return T;let Q=JSON.parse(O(v,"utf8")),Y=Q.goodmemoryRelease;if(typeof Q.version!=="string"||Q.version.length===0||typeof Y?.installCommandsApplyAfterPublish!=="boolean"||typeof Y.npmDistTag!=="string"||Y.npmDistTag.length===0||Y.status!=="release-candidate"&&Y.status!=="stable")throw Error("Unable to read GoodMemory package release metadata.");return T={goodmemoryRelease:{installCommandsApplyAfterPublish:Y.installCommandsApplyAfterPublish,npmDistTag:Y.npmDistTag,status:Y.status},version:Q.version},T}function k(Q){return typeof Q==="object"&&Q!==null&&!Array.isArray(Q)}function r(Q){let Y;try{Y=JSON.parse(O(M,"utf8"))}catch(Z){throw Error(`Stable ${Q} requires ${M.pathname}: ${String(Z)}`)}if(!k(Y)||Y.artifactKind!=="tracked-current-claim-projection"||Y.benchmark!=="LoCoMo"||Y.schemaVersion!==1||!k(Y.claim)||Y.claim.packageVersion!==Q||!k(Y.descriptorClaim))throw Error(`Stable ${Q} claim projection is invalid: ${M.pathname}`);let X=Y.descriptorClaim;if(["name","config","metric","result","reference","claimDeclaration","runtimeProfile","measuredPackageVersion"].some((Z)=>typeof X[Z]!=="string"||X[Z].trim().length===0)||X.name!=="LoCoMo"||X.measuredPackageVersion!==Q||X.claimDeclaration!=="benchmark-claims/locomo.json"||X.reference!=="benchmark-claims/evidence/locomo-v0.7.3-current.json")throw Error(`Stable ${Q} descriptor claim is invalid: ${M.pathname}`);return X}var H="https://github.com/hjqcan/GoodMemory",_="https://goodmemory.vibenest.net";function N(Q={}){let Y=Q.packageMetadata??o(),X=Q.version??Y.version,$=Y.goodmemoryRelease.status==="stable"&&X===i?[r(X)]:[];return{schemaVersion:"goodmemory.capability/v2",name:"goodmemory",version:X,kind:"memory-layer",summary:"Durable user/project memory layer for chat apps, copilots, and coding agents.",description:"GoodMemory is the product memory layer between an app or installed agent host and the model runtime: write selected facts, recall the right context, inject it into the next turn, audit what happened, and delete it when it is wrong.",notA:["llm","agent-framework","vector-database","rag-system"],license:"MIT",homepage:`${H}#readme`,repository:H,documentation:{inspector:`${H}/blob/main/docs/GoodMemory-Inspector-and-Admin-API.md`,llmsTxt:`${H}/blob/main/llms.txt`,readme:`${H}#readme`,quickstart:`${H}#quickstart-codex-or-claude-code-memory`},install:{npmGlobal:`npm install -g goodmemory@${X}`,npmPackage:`npm install goodmemory@${X}`,bun:`bun add goodmemory@${X}`},releaseStatus:{...Y.goodmemoryRelease,tarball:`goodmemory-${X}.tgz`},memoryApi:["remember","recall","buildContext","feedback","forget","exportMemory","deleteAllMemory"],onboarding:[{audience:"installed-coding-agent-host",when:"You are, or run inside, Claude Code or Codex.",method:"cli",steps:[`npm install -g goodmemory@${X}`,"goodmemory setup","goodmemory status"],autoDetect:"goodmemory adopt",docs:`${H}#quickstart-codex-or-claude-code-memory`},{audience:"kimi-code-plugin",when:"You run Kimi Code and want local, scoped cross-session project memory.",method:"plugin",install:`/plugins install ${H}`,runtimeRequirements:["Node.js >=20","Bun >=1.3.14","npx"],writeBoundary:"goodmemory_remember is exposed at install; 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memory.",statusCode:403};if(Q.caller.workspaceId&&Q.scope.workspaceId!==Q.caller.workspaceId)return{authorized:!1,code:"scope_not_authorized",message:"Request scope.workspaceId must be present and match the caller workspaceId.",statusCode:403};if(Q.scope.workspaceId&&!Q.caller.workspaceId)return{authorized:!1,code:"scope_not_authorized",message:"Caller must provide workspaceId to authorize workspace-scoped memory.",statusCode:403};if(Q.sensitive&&Q.caller.authorizedOperations!=="*"){if(!Q.caller.authorizedOperations.includes(Q.operation))return{authorized:!1,code:"operation_not_authorized",message:"Caller is not authorized for this scoped memory operation.",statusCode:403}}return{authorized:!0}}function HQ(Q){return{userId:Q.userId,...Q.tenantId?{tenantId:Q.tenantId}:{},...Q.workspaceId?{workspaceId:Q.workspaceId}:{},...Q.agentId?{agentId:Q.agentId}:{},...Q.sessionId?{sessionId:Q.sessionId}:{}}}function VQ(Q){if(typeof Q==="string")return Q;return JSON.stringify(Q)}function J(Q,Y){if(!Y||Y.content.trim().length===0)return;Q.push(Y)}function DQ(Q){return Boolean(Q.profile||Q.preferences.length>0||Q.references.length>0||Q.facts.length>0||Q.feedback.length>0||Q.archives.length>0||Q.episodes.length>0||Q.workingMemory||Q.journal)}function s(Q,Y=[]){let X=Q.metadata.routingDecision.strategyExplanation,$=new Set([...X.warnings??[],...Y]);if(Q.metadata.policyApplied?.includes("semantic_candidates_unavailable"))$.add(h);let Z=d({existingMessages:X.warningMessages,warnings:[...$]});return{...X.fallbackReason?{fallbackReason:X.fallbackReason}:{},llmRefinement:X.llmRefinement,requestedStrategy:X.requestedStrategy,resolvedStrategy:X.resolvedStrategy,semanticTieBreaking:X.semanticTieBreaking,...Z.length>0?{warningMessages:Z}:{},...$.size>0?{warnings:[...$]}:{}}}function wQ(Q){if(Q.requestedStrategy!=="auto"||Q.runtimeInfo?.embeddingEnabled!==!0||Q.runtimeInfo.retrievalPreset)return[];return(Q.recall.metadata.routingDecision.strategyExplanation.resolvedStrategy??Q.recall.metadata.routingDecision.strategy)==="rules-only"?[h]:[]}function zQ(Q){return{...s(Q.recall),fallbackReason:"provider_error",providerFallback:{reason:"provider_error",recoveredStrategy:"rules-only"},requestedStrategy:Q.requestedStrategy,resolvedStrategy:"rules-only",semanticTieBreaking:!1}}function JQ(Q){let Y=[];if(Q.profile){let X=[Q.profile.identity.name,Q.profile.identity.role,Q.profile.identity.organization,...Q.profile.activeContext.goals,...Q.profile.activeContext.currentProjects].filter(W);J(Y,{content:X.join("; "),memoryId:`profile:${Q.profile.userId}`,source:"goodmemory",type:"profile"})}for(let X of Q.preferences)J(Y,{category:X.category,confidence:X.confidence,content:`${X.category}: ${VQ(X.value)}`,memoryId:X.id,source:"goodmemory",tags:X.tags,type:"preference"});for(let X of Q.references)J(Y,{category:X.referenceKind,confidence:X.confidence,content:X.description?`${X.title}: ${X.pointer} - ${X.description}`:`${X.title}: ${X.pointer}`,memoryId:X.id,source:"goodmemory",tags:X.tags,type:"reference"});for(let X of Q.facts)J(Y,{category:X.category,confidence:X.confidence,content:X.content,memoryId:X.id,source:"goodmemory",tags:X.tags,type:"fact"});for(let X of Q.feedback)J(Y,{category:X.kind,confidence:X.confidence,content:X.rule,memoryId:X.id,source:"goodmemory",tags:X.tags,type:"feedback"});for(let X of Q.episodes)J(Y,{confidence:X.confidence,content:X.summary,memoryId:X.id,source:"goodmemory",tags:X.topics,type:"episode"});if(Q.workingMemory)J(Y,{content:[Q.workingMemory.currentGoal,...Q.workingMemory.openLoops,...Q.workingMemory.temporaryDecisions??[]].filter(W).join("; "),memoryId:`working-memory:${Q.workingMemory.userId}:${Q.workingMemory.sessionId}`,source:"goodmemory",type:"working_memory"});if(Q.journal)J(Y,{content:[Q.journal.currentState,Q.journal.taskSpecification,...Q.journal.workflow??[],...Q.journal.errorsAndCorrections??[],...Q.journal.learnings??[],...Q.journal.keyResults??[],...Q.journal.worklog].filter(W).join("; "),memoryId:`session-journal:${Q.journal.userId}:${Q.journal.sessionId}`,source:"goodmemory",type:"session_journal"});return Y}async function UQ(Q,Y,X){if(!W(Y.query))return A(400,"invalid_query","Expected query to be a non-empty string.");let $=XQ(Y.retrievalProfile);if(!$.ok)return A(400,$.code,$.message);let Z=YQ(Y.strategy);if(!Z.ok)return A(400,Z.code,Z.message);let B=ZQ(Y.output);if(!B.ok)return A(400,B.code,B.message);let G=typeof Y.maxTokens==="number"&&Number.isFinite(Y.maxTokens)?Math.max(1,Math.floor(Y.maxTokens)):void 0,F=Z.value??"auto",D=p(Q),j=D?.retrievalPreset!==void 0?F:F==="hybrid"?"hybrid":"rules-only",P={scope:X,query:Y.query,...$.value?{retrievalProfile:$.value}:{},strategy:j},z,q=void 0;try{z=await Q.recall(P)}catch(f){if(F==="rules-only"||!c(f))throw f;z=await Q.recall({...P,strategy:"rules-only"}),q=zQ({recall:z,requestedStrategy:F})}let L=await Q.buildContext({recall:z,output:B.value,...G?{maxTokens:G}:{}}),I=JQ(z),R=L.traceId??z.metadata.traceId;return w(200,{context:{content:L.content,estimatedTokens:L.estimatedTokens,omittedSections:L.omittedSections,output:L.output},contextText:L.content,contractVersion:U,hasContext:DQ(z),itemCount:I.length,items:I,ok:!0,operation:"recall-context",routing:q??{...s(z,wQ({recall:z,requestedStrategy:F,runtimeInfo:D})),requestedStrategy:F},...R?{traceId:R}:{}})}async function jQ(Q,Y,X){let $=l(Y.messages);if(!$.ok)return A(400,$.code,$.message);let Z=QQ(Y.annotations);if(!Z.ok)return A(400,Z.code,Z.message);let B=$Q(Y.extractionStrategy);if(!B.ok)return A(400,B.code,B.message);let G=Y.mode===void 0?"sync":Y.mode;if(G!=="sync"&&G!=="async")return A(400,"invalid_mode","Expected mode to be sync or async.");let F=C(Y.idempotencyKey,G==="async");if(!F.ok)return A(400,F.code,F.message);let D={scope:X,messages:$.value,...Z.value?{annotations:Z.value}:{},...B.value?{extractionStrategy:B.value}:{},...W(Y.locale)?{locale:Y.locale}:{}};if(G==="async")try{let j=await Q.jobs.enqueueRemember({...D,idempotencyKey:F.value,reason:"manual_enqueue"});return w(200,{contractVersion:U,idempotency:{handledBy:"goodmemory_jobs",key:F.value},job:j,mode:G,ok:!0,operation:"remember"})}catch(j){if(V(j)&&j.code==="idempotency_conflict")return A(409,"idempotency_conflict","GoodMemory job idempotency key already exists for a different payload.");throw j}let x=await Q.remember(D);return w(200,{contractVersion:U,idempotency:F.value?{handledBy:"consumer_provenance_only",key:F.value}:{handledBy:"none"},mode:G,ok:!0,operation:"remember",result:x})}async function LQ(Q,Y,X){if(!W(Y.signal))return A(400,"invalid_signal","Expected signal to be a non-empty string.");let $=C(Y.idempotencyKey,!0);if(!$.ok)return A(400,$.code,$.message);let Z=V(Y.source)?Y.source:{},B=await Q.feedback({scope:X,signal:Y.signal,...W(Y.locale)?{locale:Y.locale}:{}});return w(200,{contractVersion:U,idempotency:{handledBy:"consumer_provenance_only",key:$.value},ok:!0,operation:"feedback",provenance:{...W(Z.eventId)?{eventId:Z.eventId}:{},...W(Z.proposalId)?{proposalId:Z.proposalId}:{},...W(Z.reason)?{reason:Z.reason}:{},...W(Z.reviewDecision)?{reviewDecision:Z.reviewDecision}:{},...W(Z.system)?{system:Z.system}:{}},result:B})}async function MQ(Q,Y,X){if(!W(Y.memoryId))return A(400,"invalid_memory_id","Expected memoryId to be a non-empty string.");let $=await Q.forget({memoryId:Y.memoryId,scope:X});return w(200,{contractVersion:U,ok:!0,operation:"forget",result:$})}async function TQ(Q,Y,X){let $=Y.includeRuntime===!0,Z=await Q.exportMemory({includeRuntime:$,scope:X});return w(200,{contractVersion:U,exported:Z,includeRuntime:$,ok:!0,operation:"export"})}async function _Q(Q,Y,X){let $=V(Y.target)?Y.target:null;if(!$||!W($.memoryId))return A(400,"target_memory_id_required","Expected target.memoryId. Query-resolved revision targets are out of scope.");if(!V(Y.revision)||!W(Y.revision.content))return A(400,"invalid_revision","Expected revision.content to be a non-empty string.");if(!W(Y.reason))return A(400,"invalid_reason","Expected reason to be a non-empty string.");let Z=C(Y.idempotencyKey,!0);if(!Z.ok)return A(400,Z.code,Z.message);let B=Z.value;if(!B)return A(400,"invalid_idempotency_key","Expected a non-empty idempotencyKey string.");let G=WQ(Y.evidence);if(!G.ok)return A(400,G.code,G.message);let F=await Q.reviseMemory({evidence:G.value,idempotencyKey:B,reason:Y.reason,revision:{content:Y.revision.content},scope:X,target:{memoryId:$.memoryId}});return w(200,{contractVersion:U,idempotency:{handledBy:"goodmemory_revision",key:B},ok:!0,operation:"revise",result:F})}function KQ(Q){if(Q==="/memory/recall-context")return"recall-context";if(Q==="/memory/remember")return"remember";if(Q==="/memory/feedback")return"feedback";if(Q==="/memory/forget")return"forget";if(Q==="/memory/export")return"export";if(Q==="/memory/revise")return"revise";return null}async function kQ(Q){if(Q.operation==="recall-context")return UQ(Q.memory,Q.body,Q.scope);if(Q.operation==="remember")return jQ(Q.memory,Q.body,Q.scope);if(Q.operation==="feedback")return LQ(Q.memory,Q.body,Q.scope);if(Q.operation==="forget")return MQ(Q.memory,Q.body,Q.scope);if(Q.operation==="export")return TQ(Q.memory,Q.body,Q.scope);return _Q(Q.memory,Q.body,Q.scope)}function RQ(Q){let Y=Q.resolveCaller??AQ,X=Q.authorize??FQ;async function $(Z){if(Z.method==="GET"&&new URL(Z.url).pathname==="/healthz")return w(200,{...Q.healthMetadata??{},contractVersion:U,ok:!0,status:"ok"});if(Z.method==="GET"&&new URL(Z.url).pathname==="/.well-known/goodmemory.json")return w(200,N());if(Z.method!=="POST")return A(405,"method_not_allowed","GoodMemory bridge endpoints require POST.");let B=KQ(new URL(Z.url).pathname);if(!B)return A(404,"not_found","Unknown GoodMemory bridge endpoint.");let G=await GQ(Z);if(!G.ok)return A(400,G.code,G.message);let F=u(G.value.scope);if(!F.ok)return A(400,F.code,F.message);let D=await X({body:G.value,caller:Y(Z,G.value),operation:B,request:Z,scope:F.value,sensitive:n.has(B)});if(!D.authorized)return A(D.statusCode??403,D.code??"operation_not_authorized",D.message??"Caller is not authorized for this memory operation.");try{return await kQ({body:G.value,memory:Q.memory,operation:B,scope:F.value})}catch{return A(500,"bridge_operation_failed","GoodMemory bridge operation failed.")}}return{async fetch(Z){let B=await $(Z);return new Response(JSON.stringify(B.body),{headers:{"content-type":"application/json"},status:B.statusCode})},handle:$}}function fQ(){return{preset:"default",profiles:[{assistantOutputs:{mode:"confirmed_or_verified_only"},extends:"default",id:"life-coach",when:{agentId:"life-coach"}}]}}function OQ(Q){if(Q.ok!==!0||!Array.isArray(Q.items))throw Error("Expected a successful GoodMemory recall-context response.");let Y=Q.items.filter(V).map((X)=>({content:W(X.content)?X.content:"",memoryId:W(X.memoryId)?X.memoryId:"",type:typeof X.type==="string"?X.type:"fact"})).filter((X)=>X.memoryId.length>0&&X.content.length>0);return{context:typeof Q.contextText==="string"?Q.contextText:"",memories:Y.map((X)=>({id:X.memoryId,kind:X.type,source:"goodmemory-http-bridge",text:X.content})),metadata:{hasContext:Q.hasContext===!0,itemCount:typeof Q.itemCount==="number"?Q.itemCount:Y.length,policyBoundary:"product_owned",source:"goodmemory-http-bridge",...W(Q.traceId)?{traceId:Q.traceId}:{}}}}function NQ(Q){return HQ({agentId:Q.agentId??"life-coach",sessionId:Q.sessionId,tenantId:Q.tenantId,userId:Q.userId,workspaceId:Q.workspaceId})}export{OQ as toOneLifeMemoryContextResponse,NQ as toLifeCoachScope,fQ as createLifeCoachHttpRememberConfig,RQ as createGoodMemoryHttpMemoryBridge,JQ as buildGoodMemoryHttpMemoryItems,U as GOODMEMORY_HTTP_MEMORY_BRIDGE_CONTRACT_VERSION};
+2
-0
dist/recall/engine.d.ts

@@ -62,4 +62,6 @@ import type { EpisodeMemory, FactMemory, FeedbackMemory, PreferenceMemory, ReferenceMemory, SessionJournal, UserProfile, WorkingMemorySnapshot } from "../domain/records";

explicitnessScore: number;
/** @deprecated since 0.7.3. Always zero; retrieval exposure is not reinforcement. */
usageScore?: number;
evidenceScore?: number;
/** @deprecated since 0.7.3. Use evidenceScore. */
outcomeScore?: number;

@@ -66,0 +68,0 @@ verificationPenaltyScore?: number;

+7
-1
dist/remember/contracts.d.ts

@@ -7,6 +7,7 @@ import type { MemorySourceMethod } from "../domain/provenance";

import type { GoodMemoryPolicyHooks, PolicyContext } from "../policy/hooks";
import type { DocumentStore } from "../storage/contracts";
import type { ConditionalDocumentWriteBatch, DocumentStore } from "../storage/contracts";
import type { RememberRepositoryPort, RememberVectorPort } from "../storage/ports";
import type { AppendClaimProjectionInput, ClaimProjectionWritePort, MemoryCandidate, MemoryCandidateAnnotationTrace, MemoryCandidateKindHint, MemoryExtractionInput, MemoryExtractionStrategy, MemoryExtractor } from "./candidates";
import type { RememberConfig } from "./profiles";
import type { PreferenceCategoryFence } from "./writeOwnership";
export type ScopedIdentity = {

@@ -88,2 +89,6 @@ userId: string;

}
export interface PreparedRememberDocumentBatch<TResult> {
batch: ConditionalDocumentWriteBatch;
result: TResult;
}
export interface RememberWriteContext {

@@ -103,2 +108,3 @@ input: MemoryExtractionInput;

deleteDocumentWithRollback: (collection: string, id: string) => Promise<void>;
writeDocumentBatchWithRollback: <TResult>(fence: PreferenceCategoryFence, prepare: () => Promise<PreparedRememberDocumentBatch<TResult>>) => Promise<TResult>;
}
+26
-2
dist/remember/writeOwnership.d.ts

@@ -1,3 +0,26 @@

import { type DocumentStore } from "../storage/contracts";
import type { RollbackAction } from "./contracts";
import type { MemoryScope } from "../domain/scope";
import { type DocumentStore, type StorageDocument } from "../storage/contracts";
import type { PreparedRememberDocumentBatch, RollbackAction } from "./contracts";
export declare const REMEMBER_WRITE_OWNERS_COLLECTION = "remember_write_owners_v1";
export declare const PREFERENCE_CATEGORY_FENCE_KIND = "preference_category_fence";
export interface PreferenceCategoryFence {
agentId?: string;
category: string;
tenantId?: string;
userId: string;
workspaceId?: string;
}
export interface PreferenceCategoryFenceRecord extends PreferenceCategoryFence, StorageDocument {
id: string;
kind: typeof PREFERENCE_CATEGORY_FENCE_KIND;
operationId: string;
writeId: string;
}
export declare function createPreferenceCategoryFence(scope: MemoryScope, category: string): PreferenceCategoryFence;
export declare function writePreferenceCategoryBatch<TResult>(input: {
documentStore: DocumentStore;
fence: PreferenceCategoryFence;
prepare: () => Promise<PreparedRememberDocumentBatch<TResult>>;
rollbackActions?: RollbackAction[];
}): Promise<TResult>;
export interface RememberWriteCoordinator {

@@ -8,3 +31,4 @@ deleteDocument(collection: string, id: string): Promise<void>;

setDocument<TDocument extends object>(collection: string, id: string, document: TDocument): Promise<void>;
writeDocumentBatchWithRollback<TResult>(fence: PreferenceCategoryFence, prepare: () => Promise<PreparedRememberDocumentBatch<TResult>>): Promise<TResult>;
}
export declare function createRememberWriteCoordinator(documentStore: DocumentStore): RememberWriteCoordinator;
+1
-1
dist/runtime-kit/index.js

@@ -1,1 +0,1 @@

import{oa as t}from"../chunk-4rqvqhtc.js";import"../chunk-m9yws3j1.js";import"../chunk-ftxc0stx.js";import"../chunk-g7hv64gy.js";import"../chunk-b7j2aytn.js";import"../chunk-36sxnybm.js";import"../chunk-14dkxqxk.js";export{t as createGoodMemoryRuntimeKit};
import{oa as t}from"../chunk-cg1156bz.js";import"../chunk-6h5skrp5.js";import"../chunk-24n5gj7d.js";import"../chunk-t2nckty1.js";import"../chunk-b7j2aytn.js";import"../chunk-mer0q3da.js";import"../chunk-1prr29sb.js";export{t as createGoodMemoryRuntimeKit};
+4
-4
docs/GoodMemory-15-Minute-App-Integration.md

@@ -12,8 +12,8 @@ # GoodMemory 15-Minute App Integration

The registry commands below apply after `goodmemory@0.7.2` is published. Before
publication, install the verified local `goodmemory-0.7.2.tgz` produced by the
The registry commands below apply after `goodmemory@0.7.3` is published. Before
publication, install the verified local `goodmemory-0.7.3.tgz` produced by the
release workflow.
```bash
npm install goodmemory@0.7.2
npm install goodmemory@0.7.3
```

@@ -24,3 +24,3 @@

```bash
bun add goodmemory@0.7.2
bun add goodmemory@0.7.3
```

@@ -27,0 +27,0 @@ 

+7
-5
docs/GoodMemory-Claude-Code-Setup-Guide.md
# GoodMemory Claude Code Setup Guide
This is the canonical global CLI `0.7.2` Claude Code installed-host setup path.
This is the canonical global CLI `0.7.3` Claude Code release-candidate setup
path. The registry command applies after publication; before publication use
the local tarball path below.

@@ -10,3 +12,3 @@ ## Install

```bash
npm install -g goodmemory@0.7.2
npm install -g goodmemory@0.7.3
goodmemory -V

@@ -23,3 +25,3 @@ ```

```bash
npm install -g ./goodmemory-0.7.2.tgz
npm install -g ./goodmemory-0.7.3.tgz
goodmemory -V

@@ -59,7 +61,7 @@ ```

```bash
npm install goodmemory@0.7.2
npm install goodmemory@0.7.3
npx goodmemory claude bootstrap --user-id <user-id> --workspace-id <workspace-id>
```
Bun services can install the same package with `bun add goodmemory@0.7.2`.
Bun services can install the same package with `bun add goodmemory@0.7.3`.

@@ -66,0 +68,0 @@ This creates repo-local scaffolding only:

+7
-5
docs/GoodMemory-Codex-Handoff-Setup-Guide.md
# GoodMemory Codex Handoff Setup Guide
This is the canonical global CLI `0.7.2` Codex installed-host setup path.
This is the canonical global CLI `0.7.3` Codex release-candidate setup path.
The registry command applies after publication; before publication use the
local tarball path below.

@@ -10,3 +12,3 @@ ## Install

```bash
npm install -g goodmemory@0.7.2
npm install -g goodmemory@0.7.3
goodmemory -V

@@ -23,3 +25,3 @@ ```

```bash
npm install -g ./goodmemory-0.7.2.tgz
npm install -g ./goodmemory-0.7.3.tgz
goodmemory -V

@@ -59,7 +61,7 @@ ```

```bash
npm install goodmemory@0.7.2
npm install goodmemory@0.7.3
npx goodmemory codex bootstrap --user-id <user-id> --workspace-id <workspace-id>
```
Bun services can install the same package with `bun add goodmemory@0.7.2`.
Bun services can install the same package with `bun add goodmemory@0.7.3`.

@@ -66,0 +68,0 @@ This creates repo-local scaffolding only:

+9
-2
docs/GoodMemory-Fi...rinciples-and-Reference-Architecture.md

@@ -196,10 +196,17 @@ # GoodMemory: First Principles and Reference Architecture

- supersession
- decay
- query-time soft decay
- contradiction repair
- stale verification
- consolidation
- deletion
- hard expiry and deletion
The only question is whether these happen explicitly and safely, or implicitly and badly.
Soft decay is recall policy: relevance and freshness affect the current query's
ranking without rewriting a memory's confidence or lifecycle. Hard TTL expiry is
maintenance: recall hides expired facts immediately, and maintenance later
persists the inactive lifecycle and removes their vectors. Retrieval exposure is
not evidence that a memory is true or useful, so merely recalling a record must
not reinforce its future rank.
### P10. Explainability and user control are mandatory

@@ -206,0 +213,0 @@ 

+4
-0
docs/GoodMemory-Kimi-Code-Setup-Guide.md

@@ -10,2 +10,6 @@ # GoodMemory Kimi Code Setup Guide

The repository descriptors target the `0.7.3` release candidate. The verified
Kimi Code acceptance boundary remains `v0.7.2` until `0.7.3` is published and a
fresh clean-machine acceptance is recorded.
- Kimi Code with plugin support.

@@ -12,0 +16,0 @@ - Node.js 20 or newer, with `npx` on `PATH`.

+9
-2
docs/GoodMemory-PRD.md

@@ -419,4 +419,6 @@ # GoodMemory PRD

- decay、dedupe cleanup、consolidation、stale verification、dream-style consolidation
- TTL expiry、dedupe cleanup、consolidation、stale verification、dream-style consolidation
作为 maintenance 层能力存在
- soft decay 是 recall-time ranking policy，不是 maintenance mutation job
- retrieval exposure 不是 reinforcement，不得因 recall 次数提高未来排序、confidence 或 lifecycle
- 这些能力不要求纳入最小集成闭环

@@ -480,2 +482,3 @@ - 没有 maintenance，系统仍能运行；有 maintenance，质量明显提升

- 支持 merge / supersede / reject
- supersede 必须保留旧记录与 `supersededBy` lineage，不得复用旧 ID 或静默删除历史值
- 支持 explicit vs inferred 区分

@@ -521,3 +524,3 @@ - 支持 conservative write policy

- dedupe cleanup
- decay
- TTL expiry
- consolidation

@@ -529,2 +532,6 @@ - stale verification

Soft decay 仅在 recall 时计算；它不得修改 durable record。TTL/validity 是
hard expiry：到期记录在 maintenance 持久化前也必须立即不可召回，maintenance
再负责写入 inactive lifecycle 并删除对应向量。
### 12.9 FR-9 Explainability

@@ -531,0 +538,0 @@ 

+3
-2
docs/GoodMemory-Python-HTTP-Integration-Bridge.md

@@ -38,6 +38,7 @@ # GoodMemory Python HTTP Integration Bridge

Installed package usage:
Installed package usage after `goodmemory@0.7.3` is published. Before
publication, use the verified local release-candidate tarball instead.
```bash
bun add goodmemory@0.7.2
bun add goodmemory@0.7.3

@@ -44,0 +45,0 @@ GOODMEMORY_HTTP_BRIDGE_TOKEN="replace-with-service-token" \

+6
-4
docs/GoodMemory-Reference-Integration-Guide.md
# GoodMemory Reference Integration Guide
This is the canonical packaged `0.7.2` reference path for chatbox/copilot-style integration.
This is the canonical packaged `0.7.3` release-candidate reference path for
chatbox/copilot-style integration. Registry commands apply after publication;
before publication use the local tarball path below.

@@ -10,3 +12,3 @@ ## Install

```bash
npm install goodmemory@0.7.2
npm install goodmemory@0.7.3
```

@@ -17,3 +19,3 @@

```bash
bun add goodmemory@0.7.2
bun add goodmemory@0.7.3
```

@@ -24,3 +26,3 @@

```bash
npm install ./goodmemory-0.7.2.tgz
npm install ./goodmemory-0.7.3.tgz
```

@@ -27,0 +29,0 @@ 

+3
-3
docs/GoodMemory-Standalone-MCP-Setup-Guide.md

@@ -20,8 +20,8 @@ # GoodMemory Standalone MCP Setup Guide

The registry command below applies after `goodmemory@0.7.2` is published.
Before publication, install the verified local `goodmemory-0.7.2.tgz` produced
The registry command below applies after `goodmemory@0.7.3` is published.
Before publication, install the verified local `goodmemory-0.7.3.tgz` produced
by the release workflow.
```bash
npm install -g goodmemory@0.7.2
npm install -g goodmemory@0.7.3
```

@@ -28,0 +28,0 @@ 

+20
-1
docs/README.md

@@ -63,2 +63,19 @@ # GoodMemory Documentation Map

- `plans/GoodMemory-v0.7.3-Replacement-Protection-Protocol.md` - passing
lifecycle schema-9 evidence, two retained terminal full-claim attempts, and
the completed commit-bound protocol-v2 successor for candidate `996c181e`.
Its first retrieval-only seed pass completed 1,540/1,540 questions, so no
resume was used; re-answering and independent judging also completed with
zero failures. The tracked projection reports official `0.8805`, strict
`0.6266`, and open-domain `58/96`. The document also records the
governance-only preregistration and attestation that keep the current claim
presentation separate from the historical v0.6 row without changing the
measured runtime or evidence.
- `GoodMemory-Preference-Identity-Pre-API-Research.md` - frozen pre-API
preference atomization/key-stability protocol, completed no-API decision,
fixture-only conflict census, and synthetic policy comparison; not a
production-incidence claim.
- `plans/GoodMemory-v0.8-Unpublished-Development-Plan.md` - single-main
sequencing and the evidence-limited v0.8 scope; development starts only
after v0.7.3 publication and v0.8 is not release-authorized.
- `GoodMemory-ImplicitMemBench-Full-300-Research-Summary.md` - internal

@@ -69,3 +86,5 @@ ImplicitMemBench research summary. Do not treat it as a release gate.

Codex-first host-native coding A/B design, hidden-test evidence contract, TDD
implementation order, and public-claim gate; Claude Code is deferred.
implementation order, and public-claim gate; Claude Code is deferred. Its
heavy C6 readiness replay runs only through the separate Phase 73 quality
gate and does not block the v0.7.3 product release.
- `plans/GoodMemory-Phase-74-Generalized-Memory-Core-Implementation.md` -

@@ -72,0 +91,0 @@ experimental generalized-memory implementation record, completed local

+9
-6
llms.txt

@@ -13,4 +13,4 @@ # GoodMemory

Release source: this is the immutable GoodMemory 0.7.2 stable release source.
Registry commands require goodmemory@0.7.2 to be published. The release workflow
Release source: this is the immutable GoodMemory 0.7.3 stable release source.
Registry commands require goodmemory@0.7.3 to be published. The release workflow
verifies npm latest and artifact integrity before creating the GitHub Release.

@@ -29,3 +29,3 @@

```bash
npm install -g goodmemory@0.7.2
npm install -g goodmemory@0.7.3
goodmemory setup # detects Codex + Claude Code, installs managed wiring

@@ -88,6 +88,9 @@ goodmemory status

Versioned `v0.6.0` evidence is retained unchanged; these are not current
`v0.7.2` production claims until rerun against the current package:
Current `v0.7.3` public-opt-in claim:
- [LoCoMo full 10](https://github.com/hjqcan/GoodMemory/blob/main/benchmark-claims/locomo.json): official 0.8708, strict 0.6299, open-domain 0.6146 (59/96); provider-backed recommended profile; dataset CC BY-NC 4.0.
- [LoCoMo full 10](https://github.com/hjqcan/GoodMemory/blob/main/benchmark-claims/locomo.json): official 0.8805, strict 0.6266, open-domain 0.6042 (58/96); 1540 questions, zero execution/judge failures; gpt-5.6-terra answers, independent gpt-5.5 judge, provider reranking; dataset CC BY-NC 4.0. This is one live-provider draw with a heuristic 0.4-0.7 percentage-point spread and is not attributed to R6.
Versioned `v0.6.0` evidence is retained unchanged as historical evidence:
- [LoCoMo v0.6.0 full 10](https://github.com/hjqcan/GoodMemory/blob/main/benchmark-claims/locomo.json): official 0.8708, strict 0.6299, open-domain 0.6146 (59/96); provider-backed recommended profile; dataset CC BY-NC 4.0.
- [BEAM 100K](https://github.com/hjqcan/GoodMemory/blob/main/benchmark-claims/beam.json): unified 0.7651, strict 0.620 (248/400), generalized recall 0.8276; public same-protocol reference 0.49; event-ordering integrity limitation disclosed.

@@ -94,0 +97,0 @@ - [MemoryAgentBench CR/TTL](https://github.com/hjqcan/GoodMemory/blob/main/benchmark-claims/memoryagentbench.json): deterministic judge-free CR 0.959 and TTL 0.933 versus no-memory 0.000; AR/LRU excluded.

+9
-6
package.json
{
"name": "goodmemory",
"version": "0.7.2",
"version": "0.7.3",
"goodmemoryRelease": {

@@ -43,2 +43,3 @@ "installCommandsApplyAfterPublish": true,

".well-known/goodmemory.json",
"benchmark-claims/evidence/locomo-v0.7.3-current.json",
"LICENSE",

@@ -355,2 +356,3 @@ "README.md",

"gate:v0.7": "bun run scripts/run-v0-7-release-readiness.ts",
"gate:v0.7.3-lifecycle-protection": "bun run scripts/run-v0-7-3-replacement-protection-gate.ts",
"gate:public-benchmark-claim": "bun run scripts/run-public-benchmark-claim-gate.ts",

@@ -368,2 +370,3 @@ "gate:phase-68": "bun run scripts/run-phase-68-generalization-gate.ts",

"eval:summary": "bun run scripts/summarize-eval.ts",
"eval:v0.7.3-locomo-current": "bun run scripts/run-v0-7-3-full-locomo-claim.ts",
"prepack": "bun run build"

@@ -379,8 +382,8 @@ },

"dependencies": {
"@ai-sdk/anthropic": "^3.0.64",
"@ai-sdk/openai": "^3.0.49",
"@ai-sdk/openai-compatible": "^2.0.40",
"@ai-sdk/provider-utils": "^4.0.21",
"@ai-sdk/anthropic": "3.0.64",
"@ai-sdk/openai": "3.0.49",
"@ai-sdk/openai-compatible": "2.0.40",
"@ai-sdk/provider-utils": "4.0.23",
"@modelcontextprotocol/server": "^2.0.0",
"ai": "^6.0.143",
"ai": "6.0.143",
"sqlite-vss": "0.1.2",

@@ -387,0 +390,0 @@ "zod": "^4.3.6"

+33
-23
README.md

@@ -7,4 +7,4 @@ # GoodMemory

> **Release source:** this is the immutable `0.7.2` stable release source.
> Registry commands require `goodmemory@0.7.2` to be published. The release
> **Release source:** this is the immutable `0.7.3` stable release source.
> Registry commands require `goodmemory@0.7.3` to be published. The release
> workflow verifies npm `latest` and artifact integrity before creating the

@@ -62,7 +62,7 @@ > GitHub Release.

**Run and verify.** Install the submitted release and inspect its local memory
surface:
**Run and verify.** After publication, install this source line and inspect its
local memory surface; before publication, use the tarball named above:
```bash
npm install -g goodmemory@0.7.2
npm install -g goodmemory@0.7.3
goodmemory setup --host codex

@@ -87,3 +87,3 @@ goodmemory status codex --workspace-root .

```bash
npm install -g goodmemory@0.7.2
npm install -g goodmemory@0.7.3
goodmemory setup

@@ -111,9 +111,10 @@ ```

The Phase 72 benchmark and versioned release gates remain closed evidence for
`v0.6.0`. The rows below preserve those version-pinned public-opt-in results for
the disclosed provider-backed or evidence-pack profiles. Because `v0.7.0`
changed LanguagePack and recall semantics, they remain historical 0.6 evidence,
not current-package performance claims or claims about the zero-provider
default; no row is promoted as a current `v0.7.2` claim until a fresh run passes
the same gate.
The fresh v0.7.3 protocol-v2 run now supplies the current LoCoMo claim below.
The Phase 72 benchmark and versioned release gates remain closed historical
0.6 evidence; those rows stay separate because `v0.7.0` changed
LanguagePack and recall semantics. The v0.7.3 result is a single live-provider
draw, so its 0.4-0.7 percentage-point run-to-run spread is explicitly heuristic
and the score is not attributed to the R6 retrieval change. It is also a
public-opt-in provider-backed profile, not a claim about the zero-provider
default.
LongMemEval is withdrawn pending a clean rerun: the historical rules-only path

@@ -129,2 +130,3 @@ used answer annotations, and the later label-free path exposed raw

|---|---|---:|---:|---|
| LoCoMo v0.7.3 (full 10 conversations) | independent official judge protocol; strict deterministic token-F1 | official **0.8805** · strict **0.6266** · open-domain **0.6042** (58/96) | historical no-memory 0.0045 | [locomo.json](./benchmark-claims/locomo.json) |
<!-- current-claims-table:end -->

@@ -137,3 +139,3 @@

referenced raw artifacts, which are not all stored in the Git tree. They are
not current-production claims for `v0.7.2`.
not current-production claims for `v0.7.3`.

@@ -149,2 +151,10 @@ <!-- historical-evidence-table:start -->

The current v0.7.3 LoCoMo run covers all 1540 non-adversarial questions with
zero execution and judge failures. Answers, conversational extraction, and
provider reranking use `gpt-5.6-terra`; the official-protocol track uses an
independent `gpt-5.5` judge. The dataset is CC BY-NC 4.0 and therefore limited
to non-commercial evaluation. This is a single live-provider draw with a
heuristic 0.4-0.7 percentage-point run-to-run spread, not evidence that the
small difference from v0.6 was caused by R6 retrieval cues.
Where both are available, a row reports two tracks. The

@@ -242,3 +252,3 @@ **strict** track is deterministic or judge-free — a hard lower bound no LLM

- **You are, or run inside, Claude Code or Codex** →
`npm install -g goodmemory@0.7.2 && goodmemory setup`. Unsure what is already
`npm install -g goodmemory@0.7.3 && goodmemory setup`. Unsure what is already
wired? Run `goodmemory adopt` (add `--json` for a machine-readable plan): it

@@ -351,3 +361,3 @@ inspects `.claude/`, `.codex/`, and existing MCP config, then prints the exact

After GoodMemory `0.7.2` is published, it has two normal registry install paths.
After GoodMemory `0.7.3` is published, it has two normal registry install paths.
Before publication, use the tarball verification path below.

@@ -359,3 +369,3 @@

```bash
npm install -g goodmemory@0.7.2
npm install -g goodmemory@0.7.3
goodmemory setup

@@ -368,7 +378,7 @@ goodmemory status

```bash
npm install goodmemory@0.7.2
npm install goodmemory@0.7.3
```
If you want to type `goodmemory` directly, install the global CLI.
A project-local `npm install goodmemory@0.7.2` does not put `goodmemory` on your shell `PATH`.
A project-local `npm install goodmemory@0.7.3` does not put `goodmemory` on your shell `PATH`.
Use `npx goodmemory`, `npm exec -- goodmemory`, or `./node_modules/.bin/goodmemory`

@@ -384,3 +394,3 @@ from that project instead.

```bash
bun add goodmemory@0.7.2
bun add goodmemory@0.7.3
```

@@ -391,3 +401,3 @@

```bash
npm install ./goodmemory-0.7.2.tgz
npm install ./goodmemory-0.7.3.tgz
```

@@ -404,3 +414,3 @@

```bash
npm install -g goodmemory@0.7.2
npm install -g goodmemory@0.7.3
goodmemory setup

@@ -1238,3 +1248,3 @@ goodmemory status

The `goodmemory` command on your shell `PATH` is the global CLI installed with
`npm install -g goodmemory@0.7.2`. In a local dependency install, invoke the
`npm install -g goodmemory@0.7.3`. In a local dependency install, invoke the
package bin as `npx goodmemory`, `npm exec -- goodmemory`, or

@@ -1241,0 +1251,0 @@ `./node_modules/.bin/goodmemory`. The repo-local `bun run goodmemory` script is

+25
-16
README.zh-CN.md

@@ -7,4 +7,4 @@ # GoodMemory

> **发布源码：**这是不可变的 `0.7.2` 稳定发布源码。Registry 命令要求
> `goodmemory@0.7.2` 已发布；release workflow 会先校验 npm `latest`
> **发布源码：**这是不可变的 `0.7.3` 稳定发布源码。Registry 命令要求
> `goodmemory@0.7.3` 已发布；release workflow 会先校验 npm `latest`
> 与制品完整性，再创建 GitHub Release。

@@ -29,3 +29,3 @@

```bash
npm install -g goodmemory@0.7.2
npm install -g goodmemory@0.7.3
goodmemory setup

@@ -47,6 +47,8 @@ ```

Phase 72 的 benchmark gate 和带版本 release gate 仍是 `v0.6.0` 的有效历史证据。
下面三行保留明确披露 profile 的 0.6 public-opt-in 结果。由于 `v0.7.0` 改变了
LanguagePack 与召回语义，它们对当前包而言只是历史证据，不是当前版本性能声明，也不代表
零 provider 默认路径；在 `v0.7.2` 完成同等 fresh run 之前，当前声明表保持为空。
全新的 v0.7.3 protocol-v2 运行已经生成下方当前 LoCoMo 声明。Phase 72 的
benchmark gate 和带版本 release gate 继续作为 `v0.6.0` 历史证据单独保留；由于
`v0.7.0` 改变了 LanguagePack 与召回语义，不能把旧行当作当前包的性能。v0.7.3
结果是一次 live-provider draw，因此 0.4-0.7 个百分点的 run-to-run 波动仅是启发式
估计，不能把分数变化归因于 R6 retrieval change。它也是 public-opt-in 的 provider
profile，不代表零 provider 默认路径。
LongMemEval 已撤下并等待 clean rerun：历史 rules-only 路径使用了 answer annotation，

@@ -61,2 +63,3 @@ 后来的 label-free 路径又把原始 `answer_*` session ID 暴露给检索和 reader。

|---|---|---:|---:|---|
| LoCoMo v0.7.3（完整 10 会话） | 独立官方判官协议；strict 确定性 token-F1 | official **0.8805** · strict **0.6266** · open-domain **0.6042**（58/96） | 历史无记忆 0.0045 | [locomo.json](./benchmark-claims/locomo.json) |
<!-- current-claims-table:end -->

@@ -75,2 +78,8 @@

当前 v0.7.3 LoCoMo 运行覆盖全部 1540 道非对抗题，执行失败和判官失败均为零。
答案、对话式萃取与 provider reranking 使用 `gpt-5.6-terra`，官方协议轨由独立
`gpt-5.5` 判官评分。数据集采用 CC BY-NC 4.0，因此仅限非商用评估。这是一次
live-provider draw，0.4-0.7 个百分点的 run-to-run 波动仅为启发式估计；它不能证明
相对 v0.6 的小幅变化由 R6 retrieval cues 导致。
在两条轨都存在时会同时报告它们。**严格轨**是确定性或 judge-free 评分——任何 LLM 判官

@@ -150,3 +159,3 @@ 都无法夸大的硬下限。第二条轨把*同一批已存答案*（不重新生成）用基准来源或业界标准

- **你是、或运行在 Claude Code / Codex 里** →
`npm install -g goodmemory@0.7.2 && goodmemory setup`。不确定环境里已经装了
`npm install -g goodmemory@0.7.3 && goodmemory setup`。不确定环境里已经装了
什么？运行 `goodmemory adopt`（加 `--json` 得到机器可读方案）：它会检测

@@ -246,3 +255,3 @@ `.claude/`、`.codex/` 和已有的 MCP 配置，并打印出针对你环境的确切下一条命令。

GoodMemory `0.7.2` 发布后有两条常用 registry 安装路径。发布前请使用下方 tarball 验证路径。
GoodMemory `0.7.3` 发布后有两条常用 registry 安装路径。发布前请使用下方 tarball 验证路径。

@@ -252,3 +261,3 @@ 如果你想给已安装的 coding agent 增加记忆能力，使用全局 CLI：

```bash
npm install -g goodmemory@0.7.2
npm install -g goodmemory@0.7.3
goodmemory setup

@@ -261,7 +270,7 @@ goodmemory status

```bash
npm install goodmemory@0.7.2
npm install goodmemory@0.7.3
```
如果你想直接输入 `goodmemory`，必须安装全局 CLI。
项目内 `npm install goodmemory@0.7.2` 不会把 `goodmemory` 放进 shell 的 `PATH`。
项目内 `npm install goodmemory@0.7.3` 不会把 `goodmemory` 放进 shell 的 `PATH`。
这种本地依赖安装只能从该项目里用 `npx goodmemory`、

@@ -277,3 +286,3 @@ `npm exec -- goodmemory` 或 `./node_modules/.bin/goodmemory` 调用。

```bash
bun add goodmemory@0.7.2
bun add goodmemory@0.7.3
```

@@ -284,3 +293,3 @@

```bash
npm install ./goodmemory-0.7.2.tgz
npm install ./goodmemory-0.7.3.tgz
```

@@ -295,3 +304,3 @@

```bash
npm install -g goodmemory@0.7.2
npm install -g goodmemory@0.7.3
goodmemory setup

@@ -982,3 +991,3 @@ goodmemory status

shell `PATH` 上的裸 `goodmemory` 命令来自
`npm install -g goodmemory@0.7.2` 安装的全局 CLI。本地 dependency install
`npm install -g goodmemory@0.7.3` 安装的全局 CLI。本地 dependency install
里，用 `npx goodmemory`、`npm exec -- goodmemory` 或

@@ -985,0 +994,0 @@ `./node_modules/.bin/goodmemory` 调用 package bin。repo-local

+2
-2
server.json

@@ -11,3 +11,3 @@ {

},
"version": "0.7.2",
"version": "0.7.3",
"packages": [

@@ -18,3 +18,3 @@ {

"identifier": "goodmemory",
"version": "0.7.2",
"version": "0.7.3",
"runtimeHint": "npx",

@@ -21,0 +21,0 @@ "transport": {

-2
dist/bin/chunk-0dnmpnqg.js
import{readFileSync as W}from"node:fs";var X=new URL("../../package.json",import.meta.url),Q;function Y(){if(Q)return Q;let z=JSON.parse(W(X,"utf8")),x=z.goodmemoryRelease;if(typeof z.version!=="string"||z.version.length===0||typeof x?.installCommandsApplyAfterPublish!=="boolean"||typeof x.npmDistTag!=="string"||x.npmDistTag.length===0||x.status!=="release-candidate"&&x.status!=="stable")throw Error("Unable to read GoodMemory package release metadata.");return Q={goodmemoryRelease:{installCommandsApplyAfterPublish:x.installCommandsApplyAfterPublish,npmDistTag:x.npmDistTag,status:x.status},version:z.version},Q}var q="https://github.com/hjqcan/GoodMemory",V="https://goodmemory.vibenest.net";function $(z={}){let x=z.packageMetadata??Y(),I=z.version??x.version;return{schemaVersion:"goodmemory.capability/v2",name:"goodmemory",version:I,kind:"memory-layer",summary:"Durable user/project memory layer for chat apps, copilots, and coding agents.",description:"GoodMemory is the product memory layer between an app or installed agent host and the model runtime: write selected facts, recall the right context, inject it into the next turn, audit what happened, and delete it when it is wrong.",notA:["llm","agent-framework","vector-database","rag-system"],license:"MIT",homepage:`${q}#readme`,repository:q,documentation:{inspector:`${q}/blob/main/docs/GoodMemory-Inspector-and-Admin-API.md`,llmsTxt:`${q}/blob/main/llms.txt`,readme:`${q}#readme`,quickstart:`${q}#quickstart-codex-or-claude-code-memory`},install:{npmGlobal:`npm install -g goodmemory@${I}`,npmPackage:`npm install goodmemory@${I}`,bun:`bun add goodmemory@${I}`},releaseStatus:{...x.goodmemoryRelease,tarball:`goodmemory-${I}.tgz`},memoryApi:["remember","recall","buildContext","feedback","forget","exportMemory","deleteAllMemory"],onboarding:[{audience:"installed-coding-agent-host",when:"You are, or run inside, Claude Code or Codex.",method:"cli",steps:[`npm install -g goodmemory@${I}`,"goodmemory setup","goodmemory status"],autoDetect:"goodmemory adopt",docs:`${q}#quickstart-codex-or-claude-code-memory`},{audience:"kimi-code-plugin",when:"You run Kimi Code and want local, scoped cross-session project memory.",method:"plugin",install:`/plugins install ${q}`,runtimeRequirements:["Node.js >=20","Bun >=1.3.14","npx"],writeBoundary:"goodmemory_remember is exposed at install; Kimi Code approval still governs each unapproved MCP call",docs:`${q}/blob/main/docs/GoodMemory-Kimi-Code-Setup-Guide.md`},{audience:"mcp-client",when:"You speak the Model Context Protocol (Cursor, Windsurf, Cline, Claude Desktop, Gemini CLI, OpenCode, or a custom MCP client).",method:"mcp",mcpServer:{command:"goodmemory-mcp",args:["--standalone","--user-id","YOUR_USER_ID"]},autoDetect:"goodmemory adopt",docs:`${q}#standalone-mcp-for-any-client`},{audience:"framework-agent-or-backend",when:"You are a framework agent (LangGraph, custom loop) or a backend that calls memory as an HTTP service.",method:"http",endpoint:V,selfHost:"goodmemory-http-bridge --recommended OR GOODMEMORY_PROFILE=agent-recommended goodmemory-http-bridge",pythonClient:"pip install goodmemory-client",docs:`${q}#pythonfastapi-http-bridge`}],mcp:{command:"goodmemory-mcp",standaloneArgs:["--standalone","--user-id","YOUR_USER_ID"],primaryTools:["goodmemory_get_context","goodmemory_remember"],readOnlyToolCount:8,writeTool:"goodmemory_remember (opt-in via --allow-write)",registryName:"io.github.hjqcan/goodmemory",docs:`${q}#standalone-mcp-for-any-client`},http:{hosted:V,liveness:`${V}/healthz`,wellKnown:`${V}/.well-known/goodmemory.json`,auth:"bearer-token",selfHost:"goodmemory-http-bridge --recommended OR GOODMEMORY_PROFILE=agent-recommended goodmemory-http-bridge",endpoints:{recall:"POST /memory/recall-context",remember:"POST /memory/remember",feedback:"POST /memory/feedback",export:"POST /memory/export",forget:"POST /memory/forget",revise:"POST /memory/revise"},pythonClient:"goodmemory-client (PyPI)",docs:`${q}#pythonfastapi-http-bridge`},benchmarks:{currentClaims:[],historicalEvidence:{url:`${q}/tree/main/benchmark-claims`,note:`The v0.6.0 LoCoMo, BEAM, and MemoryAgentBench results, plus older LongMemEval and ImplicitMemBench runs, remain reproducible versioned evidence. None is a current ${I} production claim until rerun against this package line. LongMemEval and ImplicitMemBench remain internal evidence.`}},capabilities:{localFirst:!0,embeddingFreeDefault:!0,builtInLanguagePacks:["en","zh-Hans","zh-Hant","ja","ko","fr","es"],durableStore:"sqlite (default), postgres (opt-in)",audit:!0,deletion:!0,localInspector:"goodmemory inspector serve (loopback-only React console and /admin/v1 API)",correctByDefaultRecall:"Recall never silently degrades: a downgraded strategy carries routing.warnings (semantic_recall_inactive) and routing.warningMessages (semantic recall inactive — set strategy:hybrid + RETRIEVAL_PRESET) instead of quietly returning the lexical floor."},canonicalSources:{prose:`${q}#readme`,benchmarks:`${q}/tree/main/benchmark-claims`,note:"Benchmark entries keep explicit measuredPackageVersion provenance; a package version bump never relabels historical results. Source declarations remain in benchmark-claims/*.json."}}}
export{$ as a};
-247
dist/bin/chunk-djzzs7r6.js
import{Za as b,_a as QG,ab as DG,cb as qG,db as kG,eb as CG,fb as YG,gb as EG,hb as PG,ib as RG,kb as ZG}from"./chunk-jmsnz9jn.js";import{Database as VG}from"bun:sqlite";import{Buffer as bG}from"node:buffer";import{mkdirSync as pG}from"node:fs";import{dirname as uG}from"node:path";import{spawnSync as NG}from"node:child_process";import{existsSync as yG}from"node:fs";import*as wG from"sqlite-vss";var t="vss_inner_product",HG=Symbol.for("goodmemory.sqlite.library-registry"),SG=["/opt/homebrew/opt/sqlite/lib/libsqlite3.dylib","/usr/local/opt/sqlite/lib/libsqlite3.dylib","/usr/lib/x86_64-linux-gnu/libsqlite3.so","/usr/lib/aarch64-linux-gnu/libsqlite3.so","/usr/lib64/libsqlite3.so","/usr/lib/libsqlite3.so"],gG=`
import { Database } from "bun:sqlite";
const [customLibraryPath, vectorPath, vssPath] = process.argv.slice(1);
if (!customLibraryPath || !vectorPath || !vssPath) {
throw new Error("Missing sqlite-vss probe paths.");
}
Database.setCustomSQLite(customLibraryPath);
const database = new Database(":memory:", { strict: true });
try {
database.loadExtension(vectorPath);
database.loadExtension(vssPath);
database.query("select vss_version() as version").get();
database.exec(
"CREATE VIRTUAL TABLE __goodmemory_vss_probe USING vss0(embedding(3)); DROP TABLE __goodmemory_vss_probe;",
);
} finally {
database.close();
}
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CREATE TABLE IF NOT EXISTS documents (
collection TEXT NOT NULL,
id TEXT NOT NULL,
json TEXT NOT NULL,
PRIMARY KEY (collection, id)
);
CREATE VIRTUAL TABLE IF NOT EXISTS document_text_fts USING fts5(
collection UNINDEXED,
id UNINDEXED,
text,
searchText,
tokenize = 'unicode61 remove_diacritics 2'
);
CREATE TABLE IF NOT EXISTS document_text_fts_keys (
rowid INTEGER PRIMARY KEY,
collection TEXT NOT NULL,
id TEXT NOT NULL,
UNIQUE (collection, id)
);
CREATE TABLE IF NOT EXISTS document_store_schema (
component TEXT PRIMARY KEY,
version INTEGER NOT NULL
);
`);try{G.exec("BEGIN IMMEDIATE");let Y=G.query("SELECT version FROM document_store_schema WHERE component = ?1");if(Y.get(UG)?.version!==zG)G.exec(`
DROP TABLE document_text_fts;
CREATE VIRTUAL TABLE document_text_fts USING fts5(
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id UNINDEXED,
text,
searchText,
tokenize = 'unicode61 remove_diacritics 2'
);
DELETE FROM document_text_fts_keys;
INSERT INTO document_text_fts_keys (collection, id)
SELECT collection, id
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WHERE CASE WHEN json_valid(json)
THEN json_type(json, '$.text') = 'text' OR
json_type(json, '$.searchText') = 'text'
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END;
INSERT INTO document_text_fts (
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collection,
id,
text,
searchText
)
SELECT keys.rowid, documents.collection, documents.id,
CASE WHEN json_type(documents.json, '$.text') = 'text'
THEN json_extract(documents.json, '$.text')
END,
CASE WHEN json_type(documents.json, '$.searchText') = 'text'
THEN json_extract(documents.json, '$.searchText')
END
FROM documents
JOIN document_text_fts_keys AS keys
ON keys.collection = documents.collection AND keys.id = documents.id;
`),G.query(`INSERT INTO document_store_schema (component, version)
VALUES (?1, ?2)
ON CONFLICT(component) DO UPDATE SET version = excluded.version`).run(UG,zG);if(Y.get(OG)?.version!==_G)G.exec(`
DROP INDEX IF EXISTS documents_collection_scope_key_idx;
DROP INDEX IF EXISTS documents_collection_memory_id_idx;
DROP INDEX IF EXISTS documents_collection_source_memory_id_idx;
DROP INDEX IF EXISTS documents_collection_claim_group_idx;
CREATE INDEX documents_collection_scope_key_idx
ON documents (collection, json_extract(json, '$.scopeKey'))
WHERE json_valid(json);
CREATE INDEX documents_collection_memory_id_idx
ON documents (collection, json_extract(json, '$.memoryId'))
WHERE json_valid(json);
CREATE INDEX documents_collection_source_memory_id_idx
ON documents (collection, json_extract(json, '$.sourceMemoryId'))
WHERE json_valid(json);
CREATE INDEX documents_collection_claim_group_idx
ON documents (
collection,
json_extract(json, '$.scopeKey'),
json_extract(json, '$.subjectEntityId'),
json_extract(json, '$.predicateKey')
)
WHERE json_valid(json);
`),G.query(`INSERT INTO document_store_schema (component, version)
VALUES (?1, ?2)
ON CONFLICT(component) DO UPDATE SET version = excluded.version`).run(OG,_G);G.exec("COMMIT")}catch(Y){try{G.exec("ROLLBACK")}catch{}throw Y}}function lG(G){G.exec(`
CREATE TABLE IF NOT EXISTS session_buffers (
scope_key TEXT PRIMARY KEY,
json TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS session_working_memory (
scope_key TEXT PRIMARY KEY,
json TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS session_journals (
scope_key TEXT PRIMARY KEY,
json TEXT NOT NULL
);
`)}function sG(G){G.exec(`
CREATE TABLE IF NOT EXISTS vectors (
collection TEXT NOT NULL,
id TEXT NOT NULL,
embedding_json TEXT NOT NULL,
metadata_json TEXT NOT NULL,
content TEXT NOT NULL,
PRIMARY KEY (collection, id)
);
CREATE TABLE IF NOT EXISTS vector_index_state (
table_name TEXT PRIMARY KEY,
collection TEXT NOT NULL,
dimension INTEGER NOT NULL,
dirty INTEGER NOT NULL
);
`)}function V(G){return JSON.parse(G)}function g(G,Y){let Z=G.query("SELECT name FROM sqlite_master WHERE type = 'table' AND name = ?1").get(Y);return Z!==null&&Z!==void 0}function oG(G,Y,Z){let H=Y.replaceAll('"','""');return G.query(`PRAGMA table_info("${H}")`).all().some(({name:X})=>X===Z)}function f(G){return Error(`SQLite ${G} store is read-only in this context.`)}function iG(G,Y){let Z=Math.min(G.length,Y.length),H=0;for(let X=0;X<Z;X+=1)H+=G[X]*Y[X];return H}function nG(G){return G===null||typeof G==="string"||typeof G==="number"||typeof G==="boolean"}function aG(G){switch(G){case"memoryId":return"$.memoryId";case"predicateKey":return"$.predicateKey";case"scopeKey":return"$.scopeKey";case"sourceMemoryId":return"$.sourceMemoryId";case"subjectEntityId":return"$.subjectEntityId";default:return}}function n(G,Y){G.exec("BEGIN IMMEDIATE");try{let Z=Y();return G.exec("COMMIT"),Z}catch(Z){try{G.exec("ROLLBACK")}catch{}throw Z}}function KG(G){let{alias:Y,keyParameterIndex:Z,value:H,valueParameterIndex:X}=G,F=`EXISTS (
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text,
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WHERE document_text_fts.${T} MATCH ?1
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${D.length>0?`AND ${D.join(" AND ")}`:""}
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WHERE documents.collection = ?1
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${u.length>0?`AND ${u.join(" AND ")}`:""}
ORDER BY documents.id ASC
LIMIT ?${z.length}`}return Z.query(R).all(...z).map((D)=>({document:V(D.json),id:D.id,score:Math.max(Number.EPSILON,Math.abs(Number(D.score)))}))},async writeBatchIfUnchanged(J){if(Y?.readOnly)throw f("document");return l(J)},async delete(J,$){n(Z,()=>{x(J,$),W.run(J,$)})}}}function GG(G,Y,Z){if(Z?.readOnly&&!g(G,Y))return{async set(){throw f("session")},async get(){return null},async setIfUnchanged(){throw f("session")},async deleteIfUnchanged(){throw f("session")},async deleteByScope(){throw f("session")}};let H=G.query(`INSERT INTO ${Y} (scope_key, json)
VALUES (?1, ?2)
ON CONFLICT(scope_key) DO UPDATE SET json = excluded.json`),X=G.query(`SELECT json FROM ${Y} WHERE scope_key = ?1`),F=G.query(`INSERT INTO ${Y} (scope_key, json)
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ON CONFLICT(scope_key) DO NOTHING`),W=G.query(`UPDATE ${Y}
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metadata_json,
content
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dimension = excluded.dimension,
dirty = 0`);function O(){if(E)return E;let j=(Z?.loadVectorExtension??AG)(X,W);return E=j&&typeof j==="object"&&"loaded"in j?j:{loaded:X.mode!=="off"&&Boolean(X.paths?.length)},E}function z(){return X.backend==="sqlite-vss"&&O().loaded}function R(j,K){let B=FG(j,K);J.run(B,j,K)}function T(j){$.run(j.tableName,j.collection,j.dimension)}function D(j){if(!j.existed)return!0;let K=l.get(j.tableName);return!K||K.dirty!==0}function w(j){return l?.get(j)?.dirty===0}function u(j,K,B){let _=N.all(j).filter((C)=>{return V(C.embedding_json).length===K}),q=new Set(_.map((C)=>C.rowid)),k=W.query(`SELECT rowid FROM ${c(B)}`).all();for(let C of k)if(!q.has(C.rowid))i(W,B,C.rowid);for(let C of _)MG({database:W,embeddingJson:C.embedding_json,rowid:C.rowid,tableName:B});T({collection:j,dimension:K,tableName:B})}function v(j,K){if(!z())return null;let B=FG(j,K);if(M.has(B)){if(Y?.readOnly){if(!w(B))return M.delete(B),null;return B}if(D({existed:!0,tableName:B}))u(j,K,B);return B}if(Y?.readOnly){if(!g(W,B))return null;if(!w(B))return null;return M.add(B),B}let _=g(W,B);if(W.exec(`CREATE VIRTUAL TABLE IF NOT EXISTS ${c(B)}
USING vss0(embedding(${K}))`),D({existed:_,tableName:B}))u(j,K,B);return M.add(B),B}function IG(j){let{collection:K,filter:B,queryEmbedding:_,topK:q}=j,k=_.length,C=v(K,k);if(!C)return null;let L=Q.all(K).filter((h)=>{return V(h.embedding_json).length===k}).length;if(L===0)return[];let s=JSON.stringify(_),y=Math.min(L,Math.max(q,B?q*4:q));while(y>0){let h=W.query(`SELECT rowid, distance
FROM ${c(C)}
WHERE vss_search(embedding, vss_search_params(json(?1), ?2))`).all(s,y),S=[];for(let WG of h){let r=x.get(K,WG.rowid);if(!r)continue;let LG=V(r.embedding_json),XG=V(r.metadata_json);if(!YG(XG,B))continue;S.push({id:r.id,embedding:LG,metadata:XG,content:r.content,score:1/(1+Number(WG.distance))})}if(!B||S.length>=q||y>=L)return S.slice(0,q);y=Math.min(L,y*2)}return[]}return{async upsert(j,K){if(Y?.readOnly)throw f("vector");W.transaction((_)=>{let q=z();for(let k of _){let C=I.get(j,k.id),L=C?V(C.embedding_json).length:null,s=JSON.stringify(k.embedding);if(P.run(j,k.id,s,JSON.stringify(k.metadata),k.content),!q){if(C&&L!==null&&L!==k.embedding.length)R(j,L);R(j,k.embedding.length);continue}let y=I.get(j,k.id);if(!y)continue;if(C&&L!==null&&L!==k.embedding.length){let S=v(j,L);if(S)i(W,S,C.rowid)}let h=v(j,k.embedding.length);if(!h)continue;MG({database:W,embeddingJson:s,rowid:y.rowid,tableName:h})}})(K)},async get(j,K){if(!A)return null;let B=U.get(j,K);if(!B)return null;return{id:B.id,embedding:V(B.embedding_json),metadata:V(B.metadata_json),content:B.content}},async search(j,K,B){if(B.topK<=0||K.length===0)return[];if(!A)return[];if(X.mode!=="off"&&X.paths?.length&&O().loaded)try{let _=X.backend==="sqlite-vss"?IG({collection:j,filter:B.filter,queryEmbedding:K,topK:B.topK}):(Z?.runExtensionSearch??eG)({collection:j,config:X,database:W,filter:B.filter,queryEmbedding:K,topK:B.topK});if(_!==null)return _;if(X.mode==="require")throw Error("SQLite vector extension search could not satisfy the current query without durable fallback.")}catch(_){if(X.mode==="require"){let q=_ instanceof Error?_.message:String(_);throw Error(`Failed to execute SQLite vector extension search for ${j}: ${q}`)}}return Q.all(j).map((_)=>{let q=V(_.embedding_json),k=V(_.metadata_json);return{id:_.id,embedding:q,metadata:k,content:_.content,score:iG(q,K)}}).filter((_)=>YG(_.metadata,B.filter)).sort((_,q)=>{if(q.score!==_.score)return q.score-_.score;return _.id.localeCompare(q.id)}).slice(0,B.topK)},async delete(j,K){if(Y?.readOnly)throw f("vector");W.transaction(()=>{let _=I.get(j,K),q=z();if(_&&q){let k=V(_.embedding_json).length,C=v(j,k);if(C)i(W,C,_.rowid)}if(_&&!q){let k=V(_.embedding_json).length;R(j,k)}d.run(j,K)})()}}}
export{OY as Ua,UY as Va,zY as Wa};
-307
dist/bin/chunk-gqbzz1dr.js
import{Za as M,_a as g,ab as x,cb as f,db as v,hb as d,jb as p}from"./chunk-jmsnz9jn.js";import{SQL as u}from"bun";var m="public",s="gm",C="gm_documents",S="gm_session_state",r="gm_storage_schema",N="document_indexes",V=1,o=/^[A-Za-z_][A-Za-z0-9_]*$/,i=[{method:"btree",methodAndKey:"USING btree (collection)",name:"gm_documents_collection_idx"},{method:"gin",methodAndKey:"USING gin (document)",name:"gm_documents_document_gin_idx"},{method:"gin",methodAndKey:"USING gin (to_tsvector('simple', COALESCE((document ->> 'text'), '')))",name:"gm_documents_text_search_idx"},{method:"gin",methodAndKey:"USING gin (to_tsvector('simple', COALESCE((document ->> 'searchText'), '')))",name:"gm_documents_search_text_search_idx"}],b=new Map;function l(G){let J=G.trim();if(J.length===0)throw Error("Postgres storage requires a non-empty url");return J}function T(G,J){if(!o.test(G))throw Error(`Invalid Postgres ${J}: ${G}. Use only letters, digits, and underscores, and start with a letter or underscore.`);return G}function j(G){return`"${G}"`}function B(G,J){return`${j(G)}.${j(J)}`}function c(G){return JSON.stringify(G)}function D(G){return c(G)}function z(G){if(typeof G!=="string")return G;let J=JSON.parse(G);if(typeof J!=="string")return J;try{return JSON.parse(J)}catch{return J}}function n(G){return Boolean(G&&Object.keys(G).length>0)}function A(G,J,F){if(!n(J))return"";return F.push(D(J)),` AND ${G} @> $${F.length}::text::jsonb`}function t(G){if(G.some((J)=>!Number.isFinite(J)))throw Error("Postgres vector embeddings must contain only finite numbers");return`{${G.join(",")}}`}function e(G){if(G.some((J)=>!Number.isFinite(J)))throw Error("Postgres vector embeddings must contain only finite numbers");return`[${G.join(",")}]`}function k(G){let J=null;return async()=>{if(!J)J=G().catch((F)=>{throw J=null,F});await J}}function I(G){return Error(`Postgres ${G} store is read-only in this context.`)}async function y(G,J){let F=await G.unsafe("SELECT to_regclass($1)::text AS oid",[J]);return F[0]?.oid!==null&&F[0]?.oid!==void 0}function R(G){let J=l(G.url),F=T(G.schema??m,"schema"),O=T(G.vectorTablePrefix??s,"vectorTablePrefix"),H=`${O}_vectors`,U=c({url:J,schema:F,vectorTablePrefix:O}),Q=b.get(U);if(Q)return Q;let W=new u(J,{prepare:!1}),X=j(F),_=B(F,C),$=B(F,S),Y=B(F,H),K=`${F}.${C}`,Z=`${F}.${S}`,E=`${F}.${H}`,P=k(async()=>{await W.unsafe(`CREATE SCHEMA IF NOT EXISTS ${X}`)}),L={sql:W,schema:F,documentTable:_,sessionStateTable:$,vectorTable:Y,hasDocumentStore:()=>y(W,K),hasSessionStore:()=>y(W,Z),hasVectorStore:()=>y(W,E),ensureDocumentStore:k(async()=>{await P(),await W.unsafe(`
CREATE TABLE IF NOT EXISTS ${_} (
collection TEXT NOT NULL,
id TEXT NOT NULL,
document JSONB NOT NULL,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
PRIMARY KEY (collection, id)
)
`)}),ensureSessionStore:k(async()=>{await P(),await W.unsafe(`
CREATE TABLE IF NOT EXISTS ${$} (
scope_key TEXT NOT NULL,
state_kind TEXT NOT NULL,
payload JSONB NOT NULL,
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
PRIMARY KEY (scope_key, state_kind)
)
`)}),ensureVectorStore:k(async()=>{await P(),await W.unsafe("CREATE EXTENSION IF NOT EXISTS vector"),await W.unsafe(`
CREATE TABLE IF NOT EXISTS ${Y} (
collection TEXT NOT NULL,
id TEXT NOT NULL,
embedding DOUBLE PRECISION[] NOT NULL,
metadata JSONB NOT NULL,
content TEXT NOT NULL,
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
PRIMARY KEY (collection, id)
)
`),await W.unsafe(`
CREATE INDEX IF NOT EXISTS ${j(`${H}_collection_idx`)}
ON ${Y} (collection)
`),await W.unsafe(`
CREATE INDEX IF NOT EXISTS ${j(`${H}_metadata_gin_idx`)}
ON ${Y} USING GIN (metadata)
`)})};return b.set(U,L),L}function q(G,J,F){return{async set(O,H){if(F?.readOnly)throw I("session");await G.ensureSessionStore(),await G.sql.unsafe(`
INSERT INTO ${G.sessionStateTable} (
scope_key,
state_kind,
payload,
updated_at
) VALUES (
$1,
$2,
$3::text::jsonb,
NOW()
)
ON CONFLICT (scope_key, state_kind)
DO UPDATE SET
payload = EXCLUDED.payload,
updated_at = EXCLUDED.updated_at
`,[M(O),J,D(H)])},async setIfUnchanged(O,H,U){if(F?.readOnly)throw I("session");await G.ensureSessionStore();let Q=M(O);return(H===null?await G.sql.unsafe(`
INSERT INTO ${G.sessionStateTable} (
scope_key,
state_kind,
payload,
updated_at
) VALUES (
$1,
$2,
$3::text::jsonb,
NOW()
)
ON CONFLICT (scope_key, state_kind) DO NOTHING
RETURNING 1 AS count
`,[Q,J,D(U)]):await G.sql.unsafe(`
UPDATE ${G.sessionStateTable}
SET
payload = $3::text::jsonb,
updated_at = NOW()
WHERE scope_key = $1
AND state_kind = $2
AND payload = $4::text::jsonb
RETURNING 1 AS count
`,[Q,J,D(U),D(H)])).length===1},async get(O){if(F?.readOnly&&!await G.hasSessionStore())return null;if(!F?.readOnly)await G.ensureSessionStore();let U=(await G.sql.unsafe(`
SELECT payload::text AS payload_json
FROM ${G.sessionStateTable}
WHERE scope_key = $1 AND state_kind = $2
`,[M(O),J]))[0];return U?z(U.payload_json):null},async deleteIfUnchanged(O,H){if(F?.readOnly)throw I("session");return await G.ensureSessionStore(),(await G.sql.unsafe(`
DELETE FROM ${G.sessionStateTable}
WHERE scope_key = $1
AND state_kind = $2
AND payload = $3::text::jsonb
RETURNING 1 AS count
`,[M(O),J,D(H)])).length===1},async deleteByScope(O){if(F?.readOnly)throw I("session");if(await G.ensureSessionStore(),O.sessionId!==void 0)return(await G.sql.unsafe(`
DELETE FROM ${G.sessionStateTable}
WHERE scope_key = $1 AND state_kind = $2
RETURNING 1 AS count
`,[M(O),J])).length;return(await G.sql.unsafe(`
DELETE FROM ${G.sessionStateTable}
WHERE scope_key LIKE $1 AND state_kind = $2
RETURNING 1 AS count
`,[`${g(O)}%`,J])).length}}}function XF(G,J){let F=R(G);return{projectionBatchSemantics:x,async set(O,H,U){if(J?.readOnly)throw I("document");await F.ensureDocumentStore(),await F.sql.unsafe(`
INSERT INTO ${F.documentTable} (
collection,
id,
document,
created_at,
updated_at
) VALUES (
$1,
$2,
$3::text::jsonb,
NOW(),
NOW()
)
ON CONFLICT (collection, id)
DO UPDATE SET
document = EXCLUDED.document,
updated_at = EXCLUDED.updated_at
`,[O,H,D(U)])},async get(O,H){if(J?.readOnly&&!await F.hasDocumentStore())return null;if(!J?.readOnly)await F.ensureDocumentStore();let Q=(await F.sql.unsafe(`
SELECT document::text AS document_json
FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
`,[O,H]))[0];return Q?z(Q.document_json):null},async update(O,H,U){if(J?.readOnly)throw I("document");if(await F.ensureDocumentStore(),(await F.sql.unsafe(`
UPDATE ${F.documentTable}
SET
document = document || $3::text::jsonb,
updated_at = NOW()
WHERE collection = $1 AND id = $2
RETURNING id
`,[O,H,D(U)])).length===0)throw Error(`Document not found for update: ${O}/${H}`)},async query(O,H){if(J?.readOnly&&!await F.hasDocumentStore())return[];if(!J?.readOnly)await F.ensureDocumentStore();let U=[O],Q=A("document",H,U);return(await F.sql.unsafe(`
SELECT document::text AS document_json
FROM ${F.documentTable}
WHERE collection = $1${Q}
ORDER BY id ASC
`,U)).map((X)=>z(X.document_json))},async queryPage(O,H){if(f(H),J?.readOnly&&!await F.hasDocumentStore())return{items:[]};if(!J?.readOnly)await F.ensureDocumentStore();let U=[O],Q=A("document",H.filter,U);U.push(H.cursor??null);let W=U.length;U.push(H.limit+1);let X=U.length,_=await F.sql.unsafe(`
SELECT id, document::text AS document_json
FROM ${F.documentTable}
WHERE collection = $1${Q}
AND ($${W}::text IS NULL OR id > $${W})
ORDER BY id ASC
LIMIT $${X}
`,U),$=_.slice(0,H.limit);return{items:$.map((Y)=>z(Y.document_json)),..._.length>H.limit?{nextCursor:$.at(-1).id}:{}}},async searchText(O,H){if(v(H),d(H.query).length===0)return[];if(J?.readOnly&&!await F.hasDocumentStore())return[];if(!J?.readOnly)await F.ensureDocumentStore();let U=p(H.query),Q=H.field==="text"?"to_tsvector('simple', COALESCE(document ->> 'text', ''))":H.field==="searchText"?"to_tsvector('simple', COALESCE(document ->> 'searchText', ''))":null;if(Q){let Z=[O,U.tsQuery],E=A("document",H.filter,Z);return Z.push(H.limit),(await F.sql.unsafe(`
SELECT
id,
document::text AS document_json,
ts_rank(
${Q},
to_tsquery('simple', $2)
) AS score
FROM ${F.documentTable}
WHERE collection = $1${E}
AND ${Q} @@ to_tsquery('simple', $2)
ORDER BY score DESC, id ASC
LIMIT $${Z.length}
`,Z)).map((L)=>({document:z(L.document_json),id:L.id,score:Number(L.score)}))}let W=[O,H.field,U.tsQuery],X=A("document",H.filter,W),$=U.substrings.map((Z)=>{return W.push(Z),W.length}).map((Z)=>`lower(COALESCE(document ->> $2, '')) LIKE $${Z}`).join(" OR ");W.push(H.limit);let Y=W.length;return(await F.sql.unsafe(`
SELECT
id,
document::text AS document_json,
GREATEST(
ts_rank(
to_tsvector('simple', COALESCE(document ->> $2, '')),
to_tsquery('simple', $3)
),
CASE
WHEN ${$}
THEN 0.1
ELSE 0
END
) AS score
FROM ${F.documentTable}
WHERE collection = $1${X}
AND (
to_tsvector('simple', COALESCE(document ->> $2, ''))
@@ to_tsquery('simple', $3)
OR ${$}
)
ORDER BY score DESC, id ASC
LIMIT $${Y}
`,W)).map((Z)=>({document:z(Z.document_json),id:Z.id,score:Number(Z.score)}))},async writeBatchIfUnchanged(O){if(J?.readOnly)throw I("document");return await F.ensureDocumentStore(),F.sql.begin(async(H)=>{for(let U of[O.expected,...O.unchanged??[]]){await H.unsafe("SELECT pg_advisory_xact_lock(hashtext($1), hashtext($2))",[U.collection,U.id]);let Q=U.document===null?await H.unsafe(`
SELECT id
FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
FOR UPDATE
`,[U.collection,U.id]):await H.unsafe(`
SELECT id
FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
AND document = $3::text::jsonb
FOR UPDATE
`,[U.collection,U.id,D(U.document)]);if(!(U.document===null?Q.length===0:Q.length===1))return!1}for(let U of O.set)await H.unsafe(`
INSERT INTO ${F.documentTable} (
collection,
id,
document,
created_at,
updated_at
) VALUES (
$1,
$2,
$3::text::jsonb,
NOW(),
NOW()
)
ON CONFLICT (collection, id)
DO UPDATE SET
document = EXCLUDED.document,
updated_at = EXCLUDED.updated_at
`,[U.collection,U.id,D(U.document)]);for(let U of O.delete??[])await H.unsafe(`
DELETE FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
`,[U.collection,U.id]);return!0})},async delete(O,H){if(J?.readOnly)throw I("document");await F.ensureDocumentStore(),await F.sql.unsafe(`
DELETE FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
`,[O,H])}}}function YF(G,J){let F=R(G),O=q(F,"buffer",J),H=q(F,"working_memory",J),U=q(F,"journal",J);return{saveBuffer(Q,W){return O.set(Q,W)},saveBufferIfUnchanged(Q,W,X){return O.setIfUnchanged(Q,W,X)},getBuffer(Q){return O.get(Q)},deleteBufferIfUnchanged(Q,W){return O.deleteIfUnchanged(Q,W)},deleteBuffersByScope(Q){return O.deleteByScope(Q)},saveWorkingMemory(Q,W){return H.set(Q,W)},getWorkingMemory(Q){return H.get(Q)},deleteWorkingMemoryByScope(Q){return H.deleteByScope(Q)},saveJournal(Q,W){return U.set(Q,W)},getJournal(Q){return U.get(Q)},deleteJournalsByScope(Q){return U.deleteByScope(Q)}}}function ZF(G,J){let F=R(G);return{async upsert(O,H){if(J?.readOnly)throw I("vector");await F.ensureVectorStore(),await F.sql.begin(async(U)=>{for(let Q of H)await U.unsafe(`
INSERT INTO ${F.vectorTable} (
collection,
id,
embedding,
metadata,
content,
updated_at
) VALUES (
$1,
$2,
$3::double precision[],
$4::text::jsonb,
$5,
NOW()
)
ON CONFLICT (collection, id)
DO UPDATE SET
embedding = EXCLUDED.embedding,
metadata = EXCLUDED.metadata,
content = EXCLUDED.content,
updated_at = EXCLUDED.updated_at
`,[O,Q.id,t(Q.embedding),D(Q.metadata),Q.content])})},async get(O,H){if(J?.readOnly&&!await F.hasVectorStore())return null;if(!J?.readOnly)await F.ensureVectorStore();let Q=(await F.sql.unsafe(`
SELECT
id,
array_to_json(embedding)::text AS embedding_json,
metadata::text AS metadata_json,
content,
0 AS score
FROM ${F.vectorTable}
WHERE collection = $1 AND id = $2
LIMIT 1
`,[O,H]))[0];if(!Q)return null;return{id:Q.id,embedding:z(Q.embedding_json),metadata:z(Q.metadata_json),content:Q.content}},async search(O,H,U){if(U.topK<=0||H.length===0)return[];if(J?.readOnly&&!await F.hasVectorStore())return[];if(!J?.readOnly)await F.ensureVectorStore();let Q=[O],W=A("metadata",U.filter,Q);Q.push(e(H));let X=Q.length;Q.push(U.topK);let _=Q.length;return(await F.sql.unsafe(`
SELECT
id,
array_to_json(embedding)::text AS embedding_json,
metadata::text AS metadata_json,
content,
((embedding::vector <#> $${X}::vector) * -1) AS score
FROM ${F.vectorTable}
WHERE collection = $1${W}
ORDER BY embedding::vector <#> $${X}::vector ASC, id ASC
LIMIT $${_}
`,Q)).map((Y)=>({id:Y.id,embedding:z(Y.embedding_json),metadata:z(Y.metadata_json),content:Y.content,score:Number(Y.score)}))},async delete(O,H){if(J?.readOnly)throw I("vector");await F.ensureVectorStore(),await F.sql.unsafe(`
DELETE FROM ${F.vectorTable}
WHERE collection = $1 AND id = $2
`,[O,H])}}}async function a(G){let F=await R(G).sql.unsafe(`
SELECT
EXISTS (
SELECT 1
FROM pg_extension
WHERE extname = 'vector'
) AS installed,
EXISTS (
SELECT 1
FROM pg_available_extensions
WHERE name = 'vector'
) AS available
`);if(F[0]?.installed)return"installed";if(F[0]?.available)return"available";return"missing"}function FF(G){let J=B(G.schema,r);return{async runExclusive(F){let O=await G.sql.reserve(),H=["goodmemory",G.schema,N].join(":");try{return await O.unsafe("SELECT pg_advisory_lock(hashtextextended($1, 0))",[H]),await F()}finally{try{await O.unsafe("SELECT pg_advisory_unlock(hashtextextended($1, 0))",[H])}finally{O.release()}}},async createDocumentIndex(F){await G.sql.unsafe(F)},ensureDocumentStore:G.ensureDocumentStore,async ensureVersionStore(){await G.sql.unsafe(`
CREATE TABLE IF NOT EXISTS ${J} (
component TEXT PRIMARY KEY,
version INTEGER NOT NULL,
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
)
`)},async getDocumentIndex(F){let H=(await G.sql.unsafe(`
SELECT
pg_get_indexdef(index_relation.oid) AS definition,
index_metadata.indpred IS NOT NULL AS is_partial,
index_metadata.indisready AS is_ready,
index_metadata.indisunique AS is_unique,
index_metadata.indisvalid AS is_valid,
access_method.amname AS method,
table_relation.relname AS table_name,
table_namespace.nspname AS table_schema
FROM pg_class AS index_relation
JOIN pg_namespace AS index_namespace
ON index_namespace.oid = index_relation.relnamespace
JOIN pg_index AS index_metadata
ON index_metadata.indexrelid = index_relation.oid
JOIN pg_class AS table_relation
ON table_relation.oid = index_metadata.indrelid
JOIN pg_namespace AS table_namespace
ON table_namespace.oid = table_relation.relnamespace
JOIN pg_am AS access_method
ON access_method.oid = index_relation.relam
WHERE index_namespace.nspname = $1
AND index_relation.relname = $2
`,[G.schema,F]))[0];return H?{definition:H.definition,isPartial:H.is_partial,isReady:H.is_ready,isUnique:H.is_unique,isValid:H.is_valid,method:H.method,tableName:H.table_name,tableSchema:H.table_schema}:null},async getVersion(){return(await G.sql.unsafe(`
SELECT version
FROM ${J}
WHERE component = $1
`,[N]))[0]?.version??null},async setVersion(F){await G.sql.unsafe(`
INSERT INTO ${J} AS storage_schema (
component,
version,
updated_at
)
VALUES ($1, $2, NOW())
ON CONFLICT (component)
DO UPDATE SET
version = GREATEST(storage_schema.version, EXCLUDED.version),
updated_at = EXCLUDED.updated_at
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dist/bin/chunk-jmsnz9jn.js
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dist/bin/chunk-n9eptv3s.js
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dist/bin/chunk-q8z055df.js
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dist/bin/chunk-t4djxrsg.js

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dist/chunk-14dkxqxk.js
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dist/chunk-36sxnybm.js
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dist/chunk-4rqvqhtc.js
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xQ(Q){return{scope:Q.scope,locale:Q.locale,messages:[{role:"user",content:Q.userText},{role:"assistant",content:Q.assistantText}],annotations:[{messageIndex:1,remember:"always",confirmed:!0,reason:"runtime-kit selective writeback approved by host annotation and policy"}]}}function l(Q){return{mode:Q,content:"",estimatedTokens:0,omittedSections:[]}}function IQ(Q){return{mode:"fragment",content:Q.builtContext.content,estimatedTokens:Q.builtContext.estimatedTokens,omittedSections:[...Q.builtContext.omittedSections]}}function vQ(Q){let Z=p({appliesTo:Q.retrievalProfile==="coding_agent"?"coding_agent":"general_response",feedback:Q.feedback,query:Q.query,surface:"text_response"}),$=u(Z),H=[...w($),...w(Q.rawCarryover?.packet?.textResponsePlan)],W=a(Z.filter(({policy:O})=>O.enactmentSurface!=="text_response"||!O.applicability.textResponsePlan));if(H.length===0&&W.length===0&&!Q.rawCarryover?.packet?.promptPayload)return 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F=await(Q.hostAdapter??dQ({hostKind:G.intent.hostKind,memory:Q.memory})).assessAction(G.intent),U=QQ({assessment:F,intent:G.intent}),K=await j(G.intent.scope,{phase:"preAction",status:"applied",reason:F.decision});return{assessment:F,executionPlan:U,events:[K]}},async observeToolResult(G){let z=YQ(`${G.toolName}: ${G.summary}`,Z),F=await Q.memory.runtime.updateSessionJournal({scope:G.scope,patch:{appendWorklog:[z]}}),U=await j(G.scope,{phase:"observeToolResult",status:"applied"});return{journal:F.journal,events:[U]}}}}
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-1
dist/chunk-5s8gkd2j.js
import{_b as a}from"./chunk-shxj1q4b.js";import"./chunk-9bjprkrs.js";import"./chunk-14dkxqxk.js";export default a();
-2
dist/chunk-9bjprkrs.js
import{bc as I}from"./chunk-14dkxqxk.js";var X=I((Y,H)=>{var{defineProperty:z,getOwnPropertyDescriptor:K,getOwnPropertyNames:L}=Object,Q=Object.prototype.hasOwnProperty,R=(j,b)=>{for(var v in b)z(j,v,{get:b[v],enumerable:!0})},U=(j,b,v,B)=>{if(b&&typeof b==="object"||typeof b==="function"){for(let q of L(b))if(!Q.call(j,q)&&q!==v)z(j,q,{get:()=>b[q],enumerable:!(B=K(b,q))||B.enumerable})}return j},W=(j)=>U(z({},"__esModule",{value:!0}),j),F={};R(F,{VercelOidcTokenError:()=>G});H.exports=W(F);class G extends Error{constructor(j,b){super(j);this.name="VercelOidcTokenError",this.cause=b}toString(){if(this.cause)return`${this.name}: ${this.message}: ${this.cause}`;return`${this.name}: ${this.message}`}}});
export{X as $b};
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dist/chunk-dcw9n7s4.js
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dist/chunk-ftxc0stx.js
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section."],hostKind:"generic",mode:"file-authoritative",relativePath:r.relativePath,wroteAt:new Date(0).toISOString()}));if(f.length===0)throw N("Malformed playbook file.",T({adapterId:"unknown",artifactType:r.artifactType,failureReasons:["Playbook writeback requires one guidance bullet in the Guidance section."],hostKind:"generic",mode:"file-authoritative",relativePath:r.relativePath,wroteAt:new Date(0).toISOString()}));if(f.length>1)throw N("Malformed playbook file.",T({adapterId:"unknown",artifactType:r.artifactType,failureReasons:["Playbook writeback only supports a single guidance bullet in the Guidance section."],hostKind:"generic",mode:"file-authoritative",relativePath:r.relativePath,wroteAt:new Date(0).toISOString()}));if(E.length>1)throw N("Malformed playbook file.",T({adapterId:"unknown",artifactType:r.artifactType,failureReasons:["Playbook writeback only supports zero or one Why bullet in the Why section."],hostKind:"generic",mode:"file-authoritative",relativePath:r.relativePath,wroteAt:new Date(0).toISOString()}));return{appliesTo:H.appliesTo,canonicalMemoryId:H.canonicalMemoryId,rule:f[0],why:E[0]}}function is(r,s){let o=or(r),f=vr(o.get(s.canonicalPattern)??[]).canonicalMemoryId?.trim();return f?f:null}function us(r){return{id:"host-write-candidate",kindHint:"feedback",explicitness:"explicit",content:r.rule,sourceMessageIndex:0,sourceRole:"assistant",metadata:{appliesTo:r.appliesTo,feedbackKind:"validated_pattern"}}}function ps(r,s){if(r.userId!==s.userId)return!1;if(s.tenantId!==void 0&&r.tenantId!==s.tenantId)return!1;if(s.workspaceId!==void 0&&r.workspaceId!==s.workspaceId)return!1;if(s.agentId!==void 0&&r.agentId!==s.agentId)return!1;return!0}function ro(r){let s=[];if(r.previous.appliesTo!==r.nextAppliesTo)s.push({op:"set",target:"appliesTo",value:r.nextAppliesTo});if(r.previous.rule!==r.nextRule)s.push({op:"set",target:"rule",value:r.nextRule});if(r.previous.why!==r.nextWhy)s.push({op:"set",target:"why",value:r.nextWhy});return s}function so(r){return{artifactType:r.artifactType,canonicalMemoryId:r.canonicalMemoryId,currentContent:r.currentContent,nextContent:r.nextContent,relativePath:r.relativePath,risky:r.risky,scope:r.scope,structuredDelta:r.structuredDelta}}async function Xr(r,s,o){let H=await Tr(r,Dr,{scope:s,includeRuntime:!0},o);return new Map(H.artifacts.map((f)=>[f.relativePath,f]))}async function oo(r){let s=r.now(),o=(I)=>T({adapterId:r.adapterId,artifactType:r.writeInput.artifactType,canonicalMemoryId:I.canonicalMemoryId,failureReasons:I.failureReasons,hostKind:r.hostKind,mode:r.mode,policyApplied:I.policyApplied,relativePath:I.relativePath??r.writeInput.relativePath,risky:I.risky,rollbackPerformed:I.rollbackPerformed,structuredDelta:I.structuredDelta,verificationOutcome:I.verificationOutcome,wroteAt:s});if(!r.writeInput.relativePath.startsWith("playbooks/")||r.writeInput.relativePath.endsWith(".prompt.md")||r.writeInput.relativePath.endsWith(".skill.md"))throw N(`Host adapter does not allow writes for artifact path ${r.writeInput.relativePath}`,o({failureReasons:["Structured delta writeback only supports canonical playbook markdown files."]}));let f=(await Xr(r.memory,r.writeInput.scope,r.language)).get(r.writeInput.relativePath);if(!f)throw N(`Host adapter cannot locate the current artifact ${r.writeInput.relativePath}`,o({failureReasons:["The requested artifact path does not exist in the current exported host surface."]}));let E=r.language.resolveFromText({text:f.content}),w=ns(r.language,E),m=is(f.content,w);if(r.writeInput.content===f.content)return{diagnostics:o({canonicalMemoryId:m??void 0,policyApplied:[],risky:!1,structuredDelta:[]}),status:"noop",updatedArtifact:f};let $;try{$=as(r.writeInput,w)}catch(I){if(I instanceof M)throw N(I.message,o({...I.diagnostics,adapterId:r.adapterId,hostKind:r.hostKind,mode:r.mode,relativePath:r.writeInput.relativePath,provenance:{adapterId:r.adapterId,hostKind:r.hostKind,origin:"host_adapter",wroteAt:s}}));throw I}if(!m)throw N(`Host adapter cannot verify canonical binding for ${r.writeInput.relativePath}`,o({failureReasons:["The current exported playbook is missing canonicalMemoryId and cannot be used for authoritative writeback."]}));if($.canonicalMemoryId!==m)throw N("Host adapter write targets a different canonical record than the current playbook path.",o({canonicalMemoryId:m,failureReasons:["Edited playbook 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r.policy.shouldRemember(R,K))throw B.push("custom_shouldRemember"),N("Host adapter write was blocked by policy.",o({canonicalMemoryId:A.id,failureReasons:["Policy rejected the adapter-authored change."],policyApplied:B}));let O=A.rule!==R.content,P=Zr(f.content,w.why),S=Zr(r.writeInput.content,w.why),Y=A.why===void 0&&Gr(S)&&(P.length===0||Gr(P))?void 0:$.why,J=ro({nextAppliesTo:R.metadata.appliesTo,nextRule:R.content,nextWhy:Y,previous:A});if(J.length===0)return{diagnostics:o({canonicalMemoryId:A.id,policyApplied:B,risky:O,structuredDelta:J}),status:"noop",updatedArtifact:f};if(r.policy?.resolveConflict){let I=await r.policy.resolveConflict(qr(A,"feedback"),R,K);if(I.action==="keep_existing")throw B.push("custom_resolveConflict"),N("Host adapter write was blocked by conflict policy.",o({canonicalMemoryId:A.id,failureReasons:[I.reason??"Conflict policy kept the existing canonical memory."],policyApplied:B,risky:O,structuredDelta:J}))}let G="not_run",F;if(O){if(!r.verifyWrite)G="review_required",F="Risky adapter writes require verification before they can be applied.";else{let I=await r.verifyWrite(so({artifactType:r.writeInput.artifactType,canonicalMemoryId:A.id,currentContent:f.content,nextContent:r.writeInput.content,relativePath:r.writeInput.relativePath,risky:O,scope:r.writeInput.scope,structuredDelta:J}));G=I.outcome,F=I.reason}if(G!=="passed")throw N("Host adapter write requires verification.",o({canonicalMemoryId:A.id,failureReasons:[F??"Risky adapter writes require verification before they can be applied."],policyApplied:B,risky:O,structuredDelta:J,verificationOutcome:G}))}let b=br({...A,appliesTo:R.metadata.appliesTo,rule:R.content,source:Qr(A.source),updatedAt:s,why:Y}),U=r.createId(),l=jr({id:U,userId:A.userId,tenantId:A.tenantId,workspaceId:A.workspaceId,agentId:A.agentId,sessionId:r.writeInput.scope.sessionId,kind:"feedback",traceId:`host-write-${U}`,trigger:"governance",modelInfluence:"none",summary:`Host adapter ${r.adapterId} updated validated pattern ${A.id}.`,policyApplied:B,linkedMemoryIds:[A.id],metrics:{},createdAt:s}),j=!1;try{await r.documentStore.set("feedback",A.id,b),await r.documentStore.set(sr,U,l);let _=[...(await Xr(r.memory,r.writeInput.scope,r.language)).values()].find((h)=>h.artifactType==="playbook"&&h.relativePath.endsWith(".md")&&!h.relativePath.endsWith(".prompt.md")&&!h.relativePath.endsWith(".skill.md")&&h.content.includes(`canonicalMemoryId: ${A.id}`))??f;return{diagnostics:o({canonicalMemoryId:A.id,policyApplied:B,risky:O,structuredDelta:J,verificationOutcome:G}),linkedExperienceId:U,status:"applied",updatedArtifact:_}}catch(I){j=!0;try{await r.documentStore.set("feedback",A.id,A),await r.documentStore.delete(sr,U)}catch{j=!1}throw N("Host adapter write failed.",o({canonicalMemoryId:A.id,failureReasons:[I instanceof Error?I.message:String(I)],policyApplied:B,risky:O,rollbackPerformed:j,structuredDelta:J,verificationOutcome:G}))}}function Ho(r,s,o){if(!r.includes(s.artifactType))throw N(`Host adapter does not allow writes for artifact type ${s.artifactType}`,o);throw N(`Structured delta writeback is not implemented yet for artifact type ${s.artifactType}`,o)}function jo(r){let s=rr(r.readableArtifactTypes,zr),o=rr(r.supportedReadableArtifactTypes,Dr),H=rr(r.writableArtifactTypes,[]),f=r.mode??"file-assisted",E=r.now??(()=>new Date().toISOString()),w=r.createId??(()=>crypto.randomUUID()),m=g(r.memory)?.language??hr();if(r.id.trim().length===0)throw Error("host adapter id must not be empty");hs({readableArtifactTypes:s,supportedReadableArtifactTypes:o}),Qs({documentStorePresent:Boolean(r.documentStore),mode:f,readableArtifactTypes:s,writableArtifactTypes:H});let $=Ur(s),A=Ur(H),R=Object.freeze({mode:f,readableArtifactTypes:$,writableArtifactTypes:A}),B=r.hostKind??"generic",W={id:r.id,hostKind:B,capabilities:R,async assessAction(K){let O=Ds(t(K),B),P=await r.memory.exportMemory({scope:O.scope,includeRuntime:Boolean(O.scope.sessionId)}),S=Fr({exported:P,intent:O,language:m}),Y=await Ts({assessment:S,intent:O,memory:r.memory});return{...S,...Y}},async readArtifacts(K){let O=await Tr(r.memory,$,K,m);return{...O,artifacts:O.artifacts.map((P)=>({...P,writable:A.includes(P.artifactType)}))}},async writeArtifact(K){let O=T({adapterId:r.id,artifactType:K.artifactType,hostKind:B,mode:f,relativePath:K.relativePath,wroteAt:E()});if(K.artifactType==="playbook"&&A.includes("playbook"))return oo({adapterId:r.id,createId:w,documentStore:r.documentStore,hostKind:B,language:m,memory:r.memory,mode:f,now:E,policy:r.policy,verifyWrite:r.verifyWrite,writeInput:K});return Ho(A,K,O)}};if(B==="codex"){let K=qs(r.memory)?r.memory:void 0;Br(W,{createBehavioralTraceRecorder:({cue:O,scope:P,traceId:S})=>$r({cue:O,hostKind:"codex",traceId:S??`host-trace-${w()}`,onClose:async(Y)=>{if(!K)return{recorded:!1};return{recorded:(await p({memory:K,scope:P,trace:Y})).recorded}}}),...K?{recordBehavioralTrace:async({scope:O,trace:P})=>{return{recorded:(await p({memory:K,scope:O,trace:P})).recorded}}}:{}})}return Object.freeze(W)}function Mr(r){switch(r.kind){case"command":return{kind:"command",command:r.command,...r.summary?{summary:r.summary}:{}};case"tool_call":return{kind:"tool_call",toolName:r.toolName,...r.payload!==void 0?{payload:r.payload}:{},...r.raw?{raw:r.raw}:{},...r.summary?{summary:r.summary}:{}};case"file_edit":return{kind:"file_edit",operation:r.operation,relativePath:r.relativePath,...r.summary?{summary:r.summary}:{}}}}function fo(r){if(r.kind==="warning")return{kind:"warning",message:r.message};return Mr(r)}function To(r){if(r.assessment.actionId!==r.intent.actionId)throw Error("host action assessment actionId must match the planned intent actionId");let s=Mr(r.intent.action);switch(r.assessment.decision){case"allow":case"allow_with_guidance":return{actionId:r.intent.actionId,blocked:!1,decision:r.assessment.decision,effectiveFirstStep:s,executeOriginalActionNow:!0,guidance:[...r.assessment.guidance],intercepted:!1,originalAction:s,realizedEventParentId:r.intent.actionId,reason:r.assessment.reason,rewritten:!1};case"review_required":{if(!r.assessment.recommendedFirstStep)throw Error("review_required host action assessments must provide a recommendedFirstStep");return{actionId:r.intent.actionId,blocked:!1,decision:r.assessment.decision,effectiveFirstStep:fo(r.assessment.recommendedFirstStep),executeOriginalActionNow:!1,guidance:[...r.assessment.guidance],intercepted:!0,originalAction:s,realizedEventParentId:r.intent.actionId,reason:r.assessment.reason,rewritten:!0}}case"blocked":return{actionId:r.intent.actionId,blocked:!0,decision:r.assessment.decision,executeOriginalActionNow:!1,guidance:[...r.assessment.guidance],intercepted:!0,originalAction:s,realizedEventParentId:r.intent.actionId,reason:r.assessment.reason,rewritten:!1}}}
export{M as Ea,t as Fa,wo as Ga,jo as Ha,To as Ia};
-2
dist/chunk-g7hv64gy.js
import{Jb as Id}from"./chunk-b7j2aytn.js";function Kd(d){return d.lifecycle??"active"}function YI(d){return Kd(d)==="active"}function ZI(d,I){let M=new Date(I).getTime();if(Number.isNaN(M))return!1;for(let E of[d.validUntil,d.expiresAt]){if(E===void 0)continue;let R=new Date(E).getTime();if(!Number.isNaN(R)&&R<=M)return!0}return!1}function W(d){let I=d?.trim().toLowerCase();return I&&I.length>0?I:"general_response"}function JI(d){return[d.kind,W(d.appliesTo),d.normalizedRule.trim().toLowerCase()].join("\x00")}function o(d){return d?.extractedAt??new Date(0).toISOString()}function VI(d){let I=d.updatedAt??d.createdAt??new Date(0).toISOString();return{userId:d.userId,identity:d.identity??{},expertise:d.expertise??{primarySkills:[],domains:[]},activeContext:d.activeContext??{goals:[],currentProjects:[]},version:d.version??1,updatedAt:d.updatedAt??I,createdAt:d.createdAt??I}}function TI(d){return{id:d.id,userId:d.userId,tenantId:d.tenantId,workspaceId:d.workspaceId,agentId:d.agentId,sessionId:d.sessionId,category:d.category,value:d.value,tags:d.tags,attributes:d.attributes,confidence:d.confidence??1,source:d.source,evidenceCount:d.evidenceCount??1,isPinned:d.isPinned,supersededBy:d.supersededBy??null,lifecycle:d.lifecycle??"active",updatedAt:d.updatedAt??o(d.source)}}function mI(d){let I=d.createdAt??d.updatedAt??o(d.source);return{id:d.id,userId:d.userId,tenantId:d.tenantId,workspaceId:d.workspaceId,agentId:d.agentId,sessionId:d.sessionId,category:d.category,content:d.content,tags:d.tags,attributes:d.attributes,confidence:d.confidence??1,importance:d.importance??1,source:d.source,factKind:d.factKind,scopeKind:d.scopeKind,subject:d.subject,accessCount:d.accessCount??0,lastAccessedAt:d.lastAccessedAt,verificationPressureCount:d.verificationPressureCount??0,lastVerificationHintAt:d.lastVerificationHintAt,observedAt:d.observedAt,validFrom:d.validFrom,validUntil:d.validUntil,expiresAt:d.expiresAt,demotedAt:d.demotedAt,demotionReason:d.demotionReason,supersededBy:d.supersededBy??null,lifecycle:d.lifecycle??"active",isActive:d.isActive??!0,embeddingId:d.embeddingId,createdAt:d.createdAt??I,updatedAt:d.updatedAt??I}}function QI(d){let I=d.createdAt??d.updatedAt??o(d.source);return{id:d.id,userId:d.userId,tenantId:d.tenantId,workspaceId:d.workspaceId,agentId:d.agentId,sessionId:d.sessionId,title:d.title,pointer:d.pointer,description:d.description,confidence:d.confidence??1,source:d.source,referenceKind:d.referenceKind,subject:d.subject,tags:d.tags,attributes:d.attributes,supersededBy:d.supersededBy??null,lifecycle:d.lifecycle??"active",createdAt:d.createdAt??I,updatedAt:d.updatedAt??I}}function WI(d){return{id:d.id,userId:d.userId,tenantId:d.tenantId,workspaceId:d.workspaceId,agentId:d.agentId,sessionId:d.sessionId,summary:d.summary,keyDecisions:d.keyDecisions??[],unresolvedItems:d.unresolvedItems??[],topics:d.topics??[],entities:d.entities,emotionalTone:d.emotionalTone,importance:d.importance??1,confidence:d.confidence??1,locale:d.locale,embeddingId:d.embeddingId,observedAt:d.observedAt,sourceMessageIds:d.sourceMessageIds,createdAt:d.createdAt??new Date(0).toISOString(),archivedAt:d.archivedAt}}function 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0)return!1;return!0}function qI(d,I){if(I.agentId===d.agentId)return!0;return d.agentId!==void 0&&I[Xd]===d.agentId}function f(d){if(d.enactmentSurface!=="text_response")return!1;return Boolean(d.applicability.textResponsePlan||d.applicability.computedResponseRule||d.applicability.urlTemplate||d.applicability.pathTemplate||d.applicability.guard||d.applicability.guardedBehavior||(d.applicability.replacementPairs?.length??0)>0||(d.applicability.forbiddenFragments?.length??0)>0||(d.applicability.preferredAlternatives?.length??0)>0||(d.applicability.preferredFragments?.length??0)>0||(d.applicability.exactFragments?.prefixes?.length??0)>0||(d.applicability.exactFragments?.required?.length??0)>0||(d.applicability.exactFragments?.suffixes?.length??0)>0)}function Yd(d){if(d.enactmentSurface!=="host_action")return!1;return Boolean(d.applicability.canonicalFirstAction||(d.applicability.argumentOrder?.length??0)>0)}var 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dist/chunk-m9yws3j1.js
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dist/chunk-ncg85zcg.js
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${Q},
to_tsquery('simple', $2)
) AS score
FROM ${F.documentTable}
WHERE collection = $1${E}
AND ${Q} @@ to_tsquery('simple', $2)
ORDER BY score DESC, id ASC
LIMIT $${Z.length}
`,Z)).map((L)=>({document:z(L.document_json),id:L.id,score:Number(L.score)}))}let W=[O,H.field,U.tsQuery],X=A("document",H.filter,W),$=U.substrings.map((Z)=>{return W.push(Z),W.length}).map((Z)=>`lower(COALESCE(document ->> $2, '')) LIKE $${Z}`).join(" OR ");W.push(H.limit);let Y=W.length;return(await F.sql.unsafe(`
SELECT
id,
document::text AS document_json,
GREATEST(
ts_rank(
to_tsvector('simple', COALESCE(document ->> $2, '')),
to_tsquery('simple', $3)
),
CASE
WHEN ${$}
THEN 0.1
ELSE 0
END
) AS score
FROM ${F.documentTable}
WHERE collection = $1${X}
AND (
to_tsvector('simple', COALESCE(document ->> $2, ''))
@@ to_tsquery('simple', $3)
OR ${$}
)
ORDER BY score DESC, id ASC
LIMIT $${Y}
`,W)).map((Z)=>({document:z(Z.document_json),id:Z.id,score:Number(Z.score)}))},async writeBatchIfUnchanged(O){if(J?.readOnly)throw I("document");return await F.ensureDocumentStore(),F.sql.begin(async(H)=>{for(let U of[O.expected,...O.unchanged??[]]){await H.unsafe("SELECT pg_advisory_xact_lock(hashtext($1), hashtext($2))",[U.collection,U.id]);let Q=U.document===null?await H.unsafe(`
SELECT id
FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
FOR UPDATE
`,[U.collection,U.id]):await H.unsafe(`
SELECT id
FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
AND document = $3::text::jsonb
FOR UPDATE
`,[U.collection,U.id,D(U.document)]);if(!(U.document===null?Q.length===0:Q.length===1))return!1}for(let U of O.set)await H.unsafe(`
INSERT INTO ${F.documentTable} (
collection,
id,
document,
created_at,
updated_at
) VALUES (
$1,
$2,
$3::text::jsonb,
NOW(),
NOW()
)
ON CONFLICT (collection, id)
DO UPDATE SET
document = EXCLUDED.document,
updated_at = EXCLUDED.updated_at
`,[U.collection,U.id,D(U.document)]);for(let U of O.delete??[])await H.unsafe(`
DELETE FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
`,[U.collection,U.id]);return!0})},async delete(O,H){if(J?.readOnly)throw I("document");await F.ensureDocumentStore(),await F.sql.unsafe(`
DELETE FROM ${F.documentTable}
WHERE collection = $1 AND id = $2
`,[O,H])}}}function YF(G,J){let F=R(G),O=q(F,"buffer",J),H=q(F,"working_memory",J),U=q(F,"journal",J);return{saveBuffer(Q,W){return O.set(Q,W)},saveBufferIfUnchanged(Q,W,X){return O.setIfUnchanged(Q,W,X)},getBuffer(Q){return O.get(Q)},deleteBufferIfUnchanged(Q,W){return O.deleteIfUnchanged(Q,W)},deleteBuffersByScope(Q){return O.deleteByScope(Q)},saveWorkingMemory(Q,W){return H.set(Q,W)},getWorkingMemory(Q){return H.get(Q)},deleteWorkingMemoryByScope(Q){return H.deleteByScope(Q)},saveJournal(Q,W){return U.set(Q,W)},getJournal(Q){return U.get(Q)},deleteJournalsByScope(Q){return U.deleteByScope(Q)}}}function ZF(G,J){let F=R(G);return{async upsert(O,H){if(J?.readOnly)throw I("vector");await F.ensureVectorStore(),await F.sql.begin(async(U)=>{for(let Q of H)await U.unsafe(`
INSERT INTO ${F.vectorTable} (
collection,
id,
embedding,
metadata,
content,
updated_at
) VALUES (
$1,
$2,
$3::double precision[],
$4::text::jsonb,
$5,
NOW()
)
ON CONFLICT (collection, id)
DO UPDATE SET
embedding = EXCLUDED.embedding,
metadata = EXCLUDED.metadata,
content = EXCLUDED.content,
updated_at = EXCLUDED.updated_at
`,[O,Q.id,t(Q.embedding),D(Q.metadata),Q.content])})},async get(O,H){if(J?.readOnly&&!await F.hasVectorStore())return null;if(!J?.readOnly)await F.ensureVectorStore();let Q=(await F.sql.unsafe(`
SELECT
id,
array_to_json(embedding)::text AS embedding_json,
metadata::text AS metadata_json,
content,
0 AS score
FROM ${F.vectorTable}
WHERE collection = $1 AND id = $2
LIMIT 1
`,[O,H]))[0];if(!Q)return null;return{id:Q.id,embedding:z(Q.embedding_json),metadata:z(Q.metadata_json),content:Q.content}},async search(O,H,U){if(U.topK<=0||H.length===0)return[];if(J?.readOnly&&!await F.hasVectorStore())return[];if(!J?.readOnly)await F.ensureVectorStore();let Q=[O],W=A("metadata",U.filter,Q);Q.push(e(H));let X=Q.length;Q.push(U.topK);let _=Q.length;return(await F.sql.unsafe(`
SELECT
id,
array_to_json(embedding)::text AS embedding_json,
metadata::text AS metadata_json,
content,
((embedding::vector <#> $${X}::vector) * -1) AS score
FROM ${F.vectorTable}
WHERE collection = $1${W}
ORDER BY embedding::vector <#> $${X}::vector ASC, id ASC
LIMIT $${_}
`,Q)).map((Y)=>({id:Y.id,embedding:z(Y.embedding_json),metadata:z(Y.metadata_json),content:Y.content,score:Number(Y.score)}))},async delete(O,H){if(J?.readOnly)throw I("vector");await F.ensureVectorStore(),await F.sql.unsafe(`
DELETE FROM ${F.vectorTable}
WHERE collection = $1 AND id = $2
`,[O,H])}}}async function a(G){let F=await R(G).sql.unsafe(`
SELECT
EXISTS (
SELECT 1
FROM pg_extension
WHERE extname = 'vector'
) AS installed,
EXISTS (
SELECT 1
FROM pg_available_extensions
WHERE name = 'vector'
) AS available
`);if(F[0]?.installed)return"installed";if(F[0]?.available)return"available";return"missing"}function FF(G){let J=B(G.schema,r);return{async runExclusive(F){let O=await G.sql.reserve(),H=["goodmemory",G.schema,N].join(":");try{return await O.unsafe("SELECT pg_advisory_lock(hashtextextended($1, 0))",[H]),await F()}finally{try{await O.unsafe("SELECT pg_advisory_unlock(hashtextextended($1, 0))",[H])}finally{O.release()}}},async createDocumentIndex(F){await G.sql.unsafe(F)},ensureDocumentStore:G.ensureDocumentStore,async ensureVersionStore(){await G.sql.unsafe(`
CREATE TABLE IF NOT EXISTS ${J} (
component TEXT PRIMARY KEY,
version INTEGER NOT NULL,
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
)
`)},async getDocumentIndex(F){let H=(await G.sql.unsafe(`
SELECT
pg_get_indexdef(index_relation.oid) AS definition,
index_metadata.indpred IS NOT NULL AS is_partial,
index_metadata.indisready AS is_ready,
index_metadata.indisunique AS is_unique,
index_metadata.indisvalid AS is_valid,
access_method.amname AS method,
table_relation.relname AS table_name,
table_namespace.nspname AS table_schema
FROM pg_class AS index_relation
JOIN pg_namespace AS index_namespace
ON index_namespace.oid = index_relation.relnamespace
JOIN pg_index AS index_metadata
ON index_metadata.indexrelid = index_relation.oid
JOIN pg_class AS table_relation
ON table_relation.oid = index_metadata.indrelid
JOIN pg_namespace AS table_namespace
ON table_namespace.oid = table_relation.relnamespace
JOIN pg_am AS access_method
ON access_method.oid = index_relation.relam
WHERE index_namespace.nspname = $1
AND index_relation.relname = $2
`,[G.schema,F]))[0];return H?{definition:H.definition,isPartial:H.is_partial,isReady:H.is_ready,isUnique:H.is_unique,isValid:H.is_valid,method:H.method,tableName:H.table_name,tableSchema:H.table_schema}:null},async getVersion(){return(await G.sql.unsafe(`
SELECT version
FROM ${J}
WHERE component = $1
`,[N]))[0]?.version??null},async setVersion(F){await G.sql.unsafe(`
INSERT INTO ${J} AS storage_schema (
component,
version,
updated_at
)
VALUES ($1, $2, NOW())
ON CONFLICT (component)
DO UPDATE SET
version = GREATEST(storage_schema.version, EXCLUDED.version),
updated_at = EXCLUDED.updated_at
`,[N,F])}}}function w(G){let J=G.toLocaleLowerCase("en-US"),F=J.startsWith("using ")?0:J.indexOf(" using ");if(F<0)return"";let O=G.slice(F),H=!1,U="";for(let Q=0;Q<O.length;Q+=1){let W=O[Q];if(W==="'"){if(U+=W,H&&O[Q+1]==="'")U+="'",Q+=1;else H=!H;continue}if(H){U+=W;continue}let X=O.slice(Q).toLocaleLowerCase("en-US"),_=["::regconfig","::text"].find(($)=>X.startsWith($));if(_){Q+=_.length-1;continue}if(W==='"'||/\s/.test(W))continue;U+=W.toLocaleLowerCase("en-US")}return U}function h(G,J,F){if(!(F!==null&&F.isValid&&F.isReady&&!F.isUnique&&!F.isPartial&&F.method.toLocaleLowerCase("en-US")===J.method&&F.tableName===C&&F.tableSchema===G&&w(F.definition)===w(J.methodAndKey)))throw Error(`Postgres document index ${G}.${J.name} exists but is invalid or has an unexpected definition. Drop it with DROP INDEX CONCURRENTLY and rerun the migration.`)}function GF(G){console.error(`[GoodMemory Postgres migration] status=${G.status} schema=${G.schema} index=${G.index} elapsedMs=${G.elapsedMs}`)}async function _F(G,J,F){l(G.url);let O=T(G.schema??m,"schema"),H=F?.port??FF(R(G)),U=J?.log??GF;await H.runExclusive(async()=>{await H.ensureDocumentStore(),await H.ensureVersionStore();let Q=await H.getVersion();if(Q!==null&&Q>V)throw Error(`Postgres document index schema ${O} has unsupported version ${Q}.`);for(let W of i){let X=await H.getDocumentIndex(W.name);if(X){h(O,W,X),U({elapsedMs:0,index:W.name,schema:O,status:"current"});continue}let _=Date.now();U({elapsedMs:0,index:W.name,schema:O,status:"creating"}),await H.createDocumentIndex(`CREATE INDEX CONCURRENTLY IF NOT EXISTS ${j(W.name)} ON ${B(O,C)} ${W.methodAndKey}`);let $=await H.getDocumentIndex(W.name);h(O,W,$),U({elapsedMs:Date.now()-_,index:W.name,schema:O,status:"created"})}if(Q!==V)await H.setVersion(V)})}async function HF(G){let J=R(G);await J.ensureDocumentStore(),await J.ensureSessionStore(),await J.ensureVectorStore()}async function JF(G){let J=R(G),[F,O,H]=await Promise.all([J.hasDocumentStore(),J.hasSessionStore(),J.hasVectorStore()]);return F&&O&&H}async function $F(G,J){let F=J?.getVectorExtensionStatus??a,O=J?.hasExistingStorageBackend??JF,H=await F(G);if(H==="missing")return"unusable";if(H!=="installed")return"inconclusive";return await O(G)?"readable":"inconclusive"}async function DF(G,J){let F=J?.getVectorExtensionStatus??a,O=J?.ensureStorageBackend??HF;if(await F(G)==="missing")return!1;return await O(G),!0}export{$F as probeReadOnlyPostgresStorageBackend,_F as migratePostgresStorageBackend,a as getPostgresVectorExtensionStatus,HF as ensurePostgresStorageBackend,ZF as createPostgresVectorStore,YF as createPostgresSessionStore,XF as createPostgresDocumentStore,DF as canBootstrapPostgresStorageBackend};
-246
dist/chunk-q52tkgfd.js
import{Kb as T$,Mb as I$,Nb as N$,Ob as w$,Pb as W$,Qb as y$,Rb as f$,Sb as S$,Ub as X$}from"./chunk-17bwvvz0.js";import{Xb as b,Yb as L$}from"./chunk-36sxnybm.js";import{cc as m$}from"./chunk-14dkxqxk.js";import{Database as g$}from"bun:sqlite";import{Buffer as Y4}from"node:buffer";import{mkdirSync as Z4}from"node:fs";import{dirname as W4}from"node:path";import{spawnSync as s$}from"node:child_process";import{existsSync as o$}from"node:fs";var e={};m$(e,{loadVss:()=>_$,loadVector:()=>z$,load:()=>l$,getVssLoadablePath:()=>U$,getVectorLoadablePath:()=>O$});import{join as b$}from"node:path";import{fileURLToPath as p$}from"node:url";import{arch as t,platform as o}from"node:process";import{statSync as u$}from"node:fs";var A$=[["darwin","x64"],["darwin","arm64"],["linux","x64"]];function r$($,G){return A$.find(([Y,X])=>$==Y&&G===X)!==null}function c$($){if($==="win32")return"dll";if($==="darwin")return"dylib";return"so"}function d$($,G){return`sqlite-vss-${$==="win32"?"windows":$}-${G}`}function B$($){if(!r$(o,t))throw Error(`Unsupported platform for sqlite-vss, on a ${o}-${t} machine, but not in supported platforms (${A$.map(([X,H])=>`${X}-${H}`).join(",")}). Consult the sqlite-vss NPM package README for details. `);let G=d$(o,t),Y=b$(p$(new URL(".",import.meta.url)),"..","..",G,"lib",`${$}.${c$(o)}`);if(!u$(Y,{throwIfNoEntry:!1}))throw Error(`Loadble extension for sqlite-vss not found. Was the ${G} package installed? Avoid using the --no-optional flag, as the optional dependencies for sqlite-vss are required.`);return Y}function O$(){return B$("vector0")}function U$(){return B$("vss0")}function z$($){$.loadExtension(O$())}function _$($){$.loadExtension(U$())}function l$($){z$($),_$($)}var G$="vss_inner_product",K$=Symbol.for("goodmemory.sqlite.library-registry"),i$=["/opt/homebrew/opt/sqlite/lib/libsqlite3.dylib","/usr/local/opt/sqlite/lib/libsqlite3.dylib","/usr/lib/x86_64-linux-gnu/libsqlite3.so","/usr/lib/aarch64-linux-gnu/libsqlite3.so","/usr/lib64/libsqlite3.so","/usr/lib/libsqlite3.so"],n$=`
import { Database } from "bun:sqlite";
const [customLibraryPath, vectorPath, vssPath] = process.argv.slice(1);
if (!customLibraryPath || !vectorPath || !vssPath) {
throw new Error("Missing sqlite-vss probe paths.");
}
Database.setCustomSQLite(customLibraryPath);
const database = new Database(":memory:", { strict: true });
try {
database.loadExtension(vectorPath);
database.loadExtension(vssPath);
database.query("select vss_version() as version").get();
database.exec(
"CREATE VIRTUAL TABLE __goodmemory_vss_probe USING vss0(embedding(3)); DROP TABLE __goodmemory_vss_probe;",
);
} finally {
database.close();
}
`;function m($){if(!$)return;let G=$.trim();return G.length>0?G:void 0}function a$($){let G=m($);if(!G)return[];return G.split(",").map((Y)=>Y.trim()).filter((Y)=>Y.length>0)}function t$($){if(!/^[A-Za-z_][A-Za-z0-9_]*$/.test($))throw Error(`Unsupported GOODMEMORY_SQLITE_VECTOR_SEARCH_FUNCTION: ${$}. Expected a valid SQLite function identifier.`);return $}function e$($){let G=m($);if(!G)return;if(G==="off"||G==="prefer"||G==="require")return G;throw Error(`Unsupported GOODMEMORY_SQLITE_VECTOR_MODE: ${G}. Expected off|prefer|require.`)}function $$($){let{backend:G,customLibraryPath:Y,entryPoint:X,mode:H,path:F,paths:W,searchFunction:B}=$;return{customLibraryPath:Y,vectorExtension:{backend:G,entryPoint:X,mode:H,path:F,paths:W,searchFunction:B}}}function F$($){return{config:$$({backend:"none",customLibraryPath:$.customLibraryPath,entryPoint:void 0,mode:"off",path:void 0,paths:[],searchFunction:$.searchFunction}),diagnostics:{available:$.source==="disabled",backend:"none",effectiveMode:"off",reason:$.reason,requestedMode:$.requestedMode,source:$.source}}}function $4($){let G=s$(process.execPath,["-e",n$,"--",$.customLibraryPath,...$.paths],{encoding:"utf8",timeout:1e4});if(G.error)return{loadable:!1,reason:G.error.message};if(G.status!==0)return{loadable:!1,reason:`${G.stdout}${G.stderr}`.trim()||`sqlite-vss probe exited with status ${G.status}`};return{loadable:!0}}function G4($={}){let G=$.exists??o$,Y=($.libraryCandidatePaths??i$).find((X)=>G(X));if(!Y)return{runtime:null};try{let X=e,H=Object.hasOwn($,"getVectorLoadablePath")?$.getVectorLoadablePath:X.getVectorLoadablePath,F=Object.hasOwn($,"getVssLoadablePath")?$.getVssLoadablePath:X.getVssLoadablePath;if(!H||!F)return{runtime:null};let W=H(),B=F();if(!G(W)||!G(B))return{runtime:null};let M={customLibraryPath:Y,paths:[W,B]},E=($.probeRuntime??$4)(M);if(!E.loadable)return{runtime:null,unavailableReason:E.reason??"Bundled sqlite-vss runtime probe failed."};return{runtime:M}}catch(X){return{runtime:null,unavailableReason:`Failed to inspect bundled sqlite-vss runtime: ${X instanceof Error?X.message:String(X)}`}}}function M$($=process.env,G){let Y=m($.GOODMEMORY_SQLITE_CUSTOM_LIBRARY_PATH),X=m($.GOODMEMORY_SQLITE_VECTOR_EXTENSION_PATH),H=a$($.GOODMEMORY_SQLITE_VECTOR_EXTENSION_PATH),F=e$($.GOODMEMORY_SQLITE_VECTOR_MODE),W=t$(m($.GOODMEMORY_SQLITE_VECTOR_SEARCH_FUNCTION)??G$),B=m($.GOODMEMORY_SQLITE_VECTOR_EXTENSION_ENTRYPOINT),M=G?.inspectBundledSQLiteVssRuntime?G.inspectBundledSQLiteVssRuntime():G?.detectBundledSQLiteVssRuntime?{runtime:G.detectBundledSQLiteVssRuntime()}:G4(),E=M.runtime,C=M.unavailableReason,U=F??(H.length>0||E||C?"prefer":"off");if(U==="off")return F$({customLibraryPath:Y,requestedMode:U,searchFunction:W,source:"disabled"});if(H.length>0)return{config:$$({backend:"sql-function",customLibraryPath:Y,entryPoint:B,mode:U,path:X,paths:H,searchFunction:W}),diagnostics:{available:!0,backend:"sql-function",effectiveMode:U,requestedMode:U,source:"env"}};if(E){let q=U==="require"?"require":"prefer";return{config:$$({backend:"sqlite-vss",customLibraryPath:Y??E.customLibraryPath,entryPoint:B,mode:q,path:E.paths.join(","),paths:E.paths,searchFunction:W}),diagnostics:{available:!0,backend:"sqlite-vss",effectiveMode:q,requestedMode:U,source:"bundled-sqlite-vss"}}}return F$({customLibraryPath:Y,requestedMode:U,searchFunction:W,source:"unavailable",reason:C??"SQLite vector acceleration was requested, but no supported sqlite-vss runtime assets were detected and no manual GOODMEMORY_SQLITE_VECTOR_EXTENSION_PATH was configured."})}function q$($,G){if(!$.customLibraryPath)return;let Y=globalThis,X=Y[K$]??{configuredPaths:new WeakMap};Y[K$]=X;let H=X.configuredPaths.get(G);if(H===$.customLibraryPath)return;if(H)throw Error(`SQLite runtime already uses ${H} and cannot switch to ${$.customLibraryPath}.`);G.setCustomSQLite($.customLibraryPath),X.configuredPaths.set(G,$.customLibraryPath)}function D$($,G){if($.mode==="off"||!($.paths?.length??0))return{loaded:!1,reason:"SQLite vector acceleration is disabled."};try{for(let Y of $.paths)G.loadExtension(Y,$.entryPoint);return{loaded:!0}}catch(Y){let X=Y instanceof Error?Y.message:String(Y);if($.mode==="prefer")return{loaded:!1,reason:`Failed to load SQLite vector extension at ${$.path}: ${X}`};throw Error(`Failed to load SQLite vector extension at ${$.path}: ${X}`)}}var i=null,Y$=null,Q$="document_filter_indexes",k$="document_text_fts_keys",P$=2,E$=2;function X4(){if(!i)i={customLibraryPath:x$().config.customLibraryPath},q$(i,g$);return i}function x$(){if(!Y$)Y$=M$();return Y$}function H4($,G){if(G?.readOnly||$===":memory:")return;Z4(W4($),{recursive:!0})}function H$($,G){return X4(),H4($,G),new g$($,{create:G?.readOnly?!1:!0,readonly:G?.readOnly??!1,strict:!0})}function j4($){$.exec(`
CREATE TABLE IF NOT EXISTS documents (
collection TEXT NOT NULL,
id TEXT NOT NULL,
json TEXT NOT NULL,
PRIMARY KEY (collection, id)
);
CREATE VIRTUAL TABLE IF NOT EXISTS document_text_fts USING fts5(
collection UNINDEXED,
id UNINDEXED,
text,
searchText,
tokenize = 'unicode61 remove_diacritics 2'
);
CREATE TABLE IF NOT EXISTS document_text_fts_keys (
rowid INTEGER PRIMARY KEY,
collection TEXT NOT NULL,
id TEXT NOT NULL,
UNIQUE (collection, id)
);
CREATE TABLE IF NOT EXISTS document_store_schema (
component TEXT PRIMARY KEY,
version INTEGER NOT NULL
);
`);try{$.exec("BEGIN IMMEDIATE");let G=$.query("SELECT version FROM document_store_schema WHERE component = ?1");if(G.get(k$)?.version!==P$)$.exec(`
DROP TABLE document_text_fts;
CREATE VIRTUAL TABLE document_text_fts USING fts5(
collection UNINDEXED,
id UNINDEXED,
text,
searchText,
tokenize = 'unicode61 remove_diacritics 2'
);
DELETE FROM document_text_fts_keys;
INSERT INTO document_text_fts_keys (collection, id)
SELECT collection, id
FROM documents
WHERE CASE WHEN json_valid(json)
THEN json_type(json, '$.text') = 'text' OR
json_type(json, '$.searchText') = 'text'
ELSE 0
END;
INSERT INTO document_text_fts (
rowid,
collection,
id,
text,
searchText
)
SELECT keys.rowid, documents.collection, documents.id,
CASE WHEN json_type(documents.json, '$.text') = 'text'
THEN json_extract(documents.json, '$.text')
END,
CASE WHEN json_type(documents.json, '$.searchText') = 'text'
THEN json_extract(documents.json, '$.searchText')
END
FROM documents
JOIN document_text_fts_keys AS keys
ON keys.collection = documents.collection AND keys.id = documents.id;
`),$.query(`INSERT INTO document_store_schema (component, version)
VALUES (?1, ?2)
ON CONFLICT(component) DO UPDATE SET version = excluded.version`).run(k$,P$);if(G.get(Q$)?.version!==E$)$.exec(`
DROP INDEX IF EXISTS documents_collection_scope_key_idx;
DROP INDEX IF EXISTS documents_collection_memory_id_idx;
DROP INDEX IF EXISTS documents_collection_source_memory_id_idx;
DROP INDEX IF EXISTS documents_collection_claim_group_idx;
CREATE INDEX documents_collection_scope_key_idx
ON documents (collection, json_extract(json, '$.scopeKey'))
WHERE json_valid(json);
CREATE INDEX documents_collection_memory_id_idx
ON documents (collection, json_extract(json, '$.memoryId'))
WHERE json_valid(json);
CREATE INDEX documents_collection_source_memory_id_idx
ON documents (collection, json_extract(json, '$.sourceMemoryId'))
WHERE json_valid(json);
CREATE INDEX documents_collection_claim_group_idx
ON documents (
collection,
json_extract(json, '$.scopeKey'),
json_extract(json, '$.subjectEntityId'),
json_extract(json, '$.predicateKey')
)
WHERE json_valid(json);
`),$.query(`INSERT INTO document_store_schema (component, version)
VALUES (?1, ?2)
ON CONFLICT(component) DO UPDATE SET version = excluded.version`).run(Q$,E$);$.exec("COMMIT")}catch(G){try{$.exec("ROLLBACK")}catch{}throw G}}function J4($){$.exec(`
CREATE TABLE IF NOT EXISTS session_buffers (
scope_key TEXT PRIMARY KEY,
json TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS session_working_memory (
scope_key TEXT PRIMARY KEY,
json TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS session_journals (
scope_key TEXT PRIMARY KEY,
json TEXT NOT NULL
);
`)}function A4($){$.exec(`
CREATE TABLE IF NOT EXISTS vectors (
collection TEXT NOT NULL,
id TEXT NOT NULL,
embedding_json TEXT NOT NULL,
metadata_json TEXT NOT NULL,
content TEXT NOT NULL,
PRIMARY KEY (collection, id)
);
CREATE TABLE IF NOT EXISTS vector_index_state (
table_name TEXT PRIMARY KEY,
collection TEXT NOT NULL,
dimension INTEGER NOT NULL,
dirty INTEGER NOT NULL
);
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export{P as _b};
dist/bin/goodmemory-cli.js

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dist/index.js

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