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Commits
| Author | SHA1 | Date | |
|---|---|---|---|
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b46b349028 | ||
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73256e56a0 |
@@ -79,7 +79,7 @@ per-release `**vX.Y.Z:**` narration — CI enforces this
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- `docs/architecture/RETRIEVAL.md` + `docs/architecture/RETRIEVAL_MAXPOOL_INCIDENT.md` — retrieval-pipeline architecture reference + the named-thing-miss incident write-up (root cause, the five-layer fix, the eval that pins it).
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- `src/core/types.ts` extension + `src/core/operations.ts:search` + `src/core/import-file.ts` + `src/cli.ts` + `src/core/search/telemetry.ts` — the wiring layer for the retrieval cathedral. `SearchResult` gains `evidence`, `create_safety`, `title_match_boost`, `alias_hit` (all optional; evidence/create_safety reference the union types in `evidence.ts`). The `search` MCP op uses a cheap-hybrid path by default and accepts a per-call `mode` (conservative|balanced|tokenmax) honored ONLY for trusted/local callers (`resolvePerCallMode(ctx, ...)` — remote callers use the configured mode so a remote provider can't force tokenmax spend); every search path stamps evidence fail-soft. `importFromContent` projects frontmatter `aliases:` into `page_aliases` via `normalizeAliasList` + `engine.setPageAliases` so new + changed pages register aliases at ingest. `src/cli.ts` adds the `gbrain search diagnose` dispatch (lazy import) and reconciles the `search` CLI path with the cheap-hybrid op. `src/core/search/telemetry.ts` extends the rollup with the rank-1 base_score drift signal (sum/count + 3 coarse buckets, aggregate not per-query), surfaced via `gbrain search stats`, backed by migration v111's `search_telemetry` columns. Tests: `test/cli-search-dispatch.test.ts`, `test/search/per-call-mode.test.ts`, `test/search/telemetry-rank1.test.ts`, `test/search/title-boost-stage.test.ts`, `test/search/alias-hop.test.ts`, `test/search/evidence.test.ts`, `test/search/searchvector-maxpool.test.ts`, `test/search/pre-migration-failopen.test.ts`.
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- `src/commands/eval.ts` — `gbrain eval` command: single-run table + A/B config comparison. Sub-subcommand dispatch on `args[0]` routes `gbrain eval export` + `gbrain eval prune` + `gbrain eval replay` into session-capture handlers; bare `gbrain eval --qrels …` fall-through preserves the legacy IR-metrics flow. `gbrain eval cross-modal` is in the dispatch (the user-facing path is the cli.ts no-DB branch — `src/commands/eval.ts:cross-modal` only fires when callers re-enter with an existing engine).
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- `src/commands/eval-cross-modal.ts` — multi-model quality gate. Three different-provider frontier models score the OUTPUT against the TASK on a 5-dim list. Verdict `pass` (exit 0) / `fail` (exit 1) / `inconclusive` (exit 2; <2/3 model successes). Reuses `src/core/ai/gateway.ts:chat()` so config/auth/aliasing comes from the gateway recipe registry — no parallel provider stack. Self-configures the gateway (`configureGateway(loadConfig() + process.env)`) since the cli.ts dispatch bypasses `connectEngine()`. Default cycles 3 in TTY, 1 in non-TTY (partial cost guardrail) via the shared `resolveCycleDefault(explicit, isTty)` in `src/core/eval/cycle-default.ts`; the cost-estimate banner appends `cycleDefaultSuffix(...)` (`for 1 cycle(s) (non-interactive default; --cycles N for more)`) when the value is the silent non-TTY fallback, so the 1-vs-3 difference isn't hidden. Receipts land at `gbrainPath('eval-receipts')/<slug>-<sha8-of-output>.json`. `--batch <jsonl> [--limit N] [--concurrent N] [--max-usd FLOAT] [--yes]` fans out cross-modal scoring across a LongMemEval-shape JSONL; mutually exclusive with `--task` (fail-fast usage error if both set); filters `kind: "by_type_summary"` rows; pre-flight cost estimate refuses if `> --max-usd` without `--yes` (default cap 5.00 USD). Semaphore-bounded fan-out via inline `runWithLimit<T>(items, limit, fn)` (exported for unit tests): max N questions in-flight × 3 model slots = ceiling of 3N parallel API calls (default `--concurrent 3` → 9). Per-question receipts land in a per-batch tempdir and are deleted at end of run; the summary receipt inlines per-question verdicts as JSON, not file paths. Exit precedence (batch-level policy, NOT inherited from aggregate.ts): ERROR > FAIL > INCONCLUSIVE > PASS. DI seam: `runEvalCrossModal(args, opts?: {runEval?: typeof runEval})` mirrors `runEvalLongMemEval(args, {client?})`; tests pass `opts.runEval` to bypass real LLM calls AND the gateway availability check. Pinned by `test/eval-cross-modal-batch.test.ts`.
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- `src/commands/eval-cross-modal.ts` — multi-model quality gate. Three different-provider frontier models score the OUTPUT against the TASK on a 5-dim list. Verdict `pass` (exit 0) / `fail` (exit 1) / `inconclusive` (exit 2; <2/3 model successes). Reuses `src/core/ai/gateway.ts:chat()` so config/auth/aliasing comes from the gateway recipe registry — no parallel provider stack. Self-configures the gateway via `buildGatewayConfig(loadConfig() ?? {})` since the cli.ts dispatch bypasses `connectEngine()`, so file-plane keys, env base URLs, and provider_chat_options follow the same adapter path as runtime. Default cycles 3 in TTY, 1 in non-TTY (partial cost guardrail) via the shared `resolveCycleDefault(explicit, isTty)` in `src/core/eval/cycle-default.ts`; the cost-estimate banner appends `cycleDefaultSuffix(...)` (`for 1 cycle(s) (non-interactive default; --cycles N for more)`) when the value is the silent non-TTY fallback, so the 1-vs-3 difference isn't hidden. Receipts land at `gbrainPath('eval-receipts')/<slug>-<sha8-of-output>.json`. `--batch <jsonl> [--limit N] [--concurrent N] [--max-usd FLOAT] [--yes]` fans out cross-modal scoring across a LongMemEval-shape JSONL; mutually exclusive with `--task` (fail-fast usage error if both set); filters `kind: "by_type_summary"` rows; pre-flight cost estimate refuses if `> --max-usd` without `--yes` (default cap 5.00 USD). Semaphore-bounded fan-out via inline `runWithLimit<T>(items, limit, fn)` (exported for unit tests): max N questions in-flight × 3 model slots = ceiling of 3N parallel API calls (default `--concurrent 3` → 9). Per-question receipts land in a per-batch tempdir and are deleted at end of run; the summary receipt inlines per-question verdicts as JSON, not file paths. Exit precedence (batch-level policy, NOT inherited from aggregate.ts): ERROR > FAIL > INCONCLUSIVE > PASS. DI seam: `runEvalCrossModal(args, opts?: {runEval?: typeof runEval})` mirrors `runEvalLongMemEval(args, {client?})`; tests pass `opts.runEval` to bypass real LLM calls AND the gateway availability check. Pinned by `test/eval-cross-modal-batch.test.ts`.
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- `src/core/eval/cycle-default.ts` — single source of truth for the eval cycle-count default. Exports `DEFAULT_CYCLES_TTY = 3`, `DEFAULT_CYCLES_NONTTY = 1`, `resolveCycleDefault(explicit, isTty): {cycles, usedNonTtyDefault}`, and `cycleDefaultSuffix(r)` (returns ` (non-interactive default; --cycles N for more)` only when the non-TTY default was applied, else `''`). Consumed by `eval-cross-modal.ts`, `eval-takes-quality.ts` (run + regress), and `takes-quality-eval/runner.ts` (core uses only the constant — library stays TTY-agnostic; the CLI owns the TTY=3 upgrade + banner annotation). `eval-suspected-contradictions.ts` applies the same transparency to its `$5`/`$1` budget default via a `budgetUsdExplicit` flag (the budget is overwritten in-place so explicitness can't be inferred post-hoc). Not shared with `resolveWorkersWithClamp` (different domain, no engine, no dedup). Pinned by `test/eval/cycle-default.test.ts`, `test/eval-suspected-contradictions-budget-default.test.ts`.
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- `src/core/cross-modal-eval/json-repair.ts` — `parseModelJSON(raw)` named export with a 4-strategy fallback chain (direct parse → fence-strip → trailing-comma + single-quote + embedded-newline repair → regex nuclear option). Adversarial input throws rather than fabricating scores — the aggregator treats a throw as "this model contributed nothing this cycle" so the gate stays correct at >=2/3 successes.
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- `src/core/cross-modal-eval/aggregate.ts` — pure verdict logic. Pass criterion: `(successes >= 2) AND (every dim mean >= 7) AND (every dim min across models >= 5)`. Inconclusive when <2/3 models returned parseable scores (regression guard for the v1 `Object.values({}).every(...) === true` empty-array PASS bug).
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@@ -138,7 +138,7 @@ per-release `**vX.Y.Z:**` narration — CI enforces this
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- `src/core/minions/queue.ts` extension — `MinionQueue.add()` rejects `subagent` jobs whose `data.model` resolves via `isAnthropicProvider()` to a non-Anthropic provider. Lazy-imports `model-config.ts` to avoid pulling engine types into queue's eager-load surface. Layer 1 of the three-layer subagent provider enforcement (layers 2+3: `model-config.ts:enforceSubagentAnthropic` runtime fallback + `src/commands/doctor.ts` `subagent_provider` check). Pinned by `test/agent-cli.test.ts`.
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- `src/commands/models.ts` — `gbrain models [--json]` read-only routing dashboard: prints tier defaults (`utility`/`reasoning`/`deep`/`subagent`), the resolved value for each (re-walking the resolution chain), every per-task override (11 `PER_TASK_KEYS`: `models.dream.synthesize`, `models.dream.patterns`, `models.drift`, `models.auto_think`, `models.think`, `models.subagent`, `facts.extraction_model`, `models.eval.longmemeval`, `models.expansion`, `models.chat`, `models.dream.synthesize_verdict`), the alias map, and a source-of-truth column (`default` / `config: <key>` / `env: <VAR>`). `gbrain models doctor [--skip=<provider>] [--json]` fires a 1-token `gateway.chat()` probe against each configured chat + expansion model and classifies failures into `{model_not_found, auth, rate_limit, network, unknown}`. Wired into `cli.ts` dispatch + `CLI_ONLY` set. A zero-token `embedding_config` probe runs FIRST, before any chat/expansion probes spend money: `probeEmbeddingConfig()` reads `getEmbeddingModel()` + `getEmbeddingDimensions()` and (for Voyage flexible-dim models) checks `isValidVoyageOutputDim(dims)` against `VOYAGE_VALID_OUTPUT_DIMS`. `ProbeStatus` variant `'config'` + optional `fix?: string` on `ProbeResult` surface a paste-ready `gbrain config set ...` line in human + JSON output; touchpoint label `'embedding_config'` joins `'chat'` and `'expansion'`.
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- `src/core/init-embed-check.ts` — embedding-key validation at `gbrain init`. `runInitEmbedCheck(opts)` runs a config-only `diagnoseEmbedding` (catches a missing key for ANY provider) plus a best-effort `liveTestEmbed` (1-token `gateway.embed(['probe'], {inputType:'query', abortSignal})`, 5s `AbortController` timeout, never throws — catches an invalid/expired key). Loud warning to stderr; init still exits 0 (`--no-embedding` is the deferred-setup escape; `--skip-embed-check` / `GBRAIN_INIT_SKIP_EMBED_CHECK=1` skip the check). Builds the effective env (`process.env` + file-plane `openai/anthropic/zeroentropy_api_key` from `loadConfigFileOnly()` + `opts.apiKey`) and configures the gateway via `buildGatewayConfig` before diagnose/probe, so the check sees the same keys AND provider base URLs runtime will (no false "missing key" for config.json-keyed users; the probe hits the right endpoint). Init-specific warning text names `--no-embedding` / `--skip-embed-check`, not the sync-flavored `--no-embed`. Wired into `initPGLite` + `initPostgres` in `src/commands/init.ts`, with the result added to the `--json` envelope as `embedding_check {ok, reason?, live_ok?}`. Pinned by `test/init-embed-check.test.ts` (hermetic via the gateway embed-transport seam + `withEnv`).
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- `src/core/ai/build-gateway-config.ts` — `buildGatewayConfig(c: GBrainConfig): AIGatewayConfig`, extracted from `src/cli.ts` (which re-exports it for back-compat). Lets core modules (`init-embed-check.ts`) reuse it without importing the CLI entrypoint. Single owner of folding file-plane API keys (openai/anthropic/zeroentropy) into the gateway env and threading local-server `*_BASE_URL` env vars into base_urls. `process.env` wins EXCEPT empty-string / undefined values are dropped before the merge, so an injected empty `ANTHROPIC_API_KEY=''` (Claude Code neuters subprocess LLM calls this way) can't clobber a valid config-plane key; `'0'` / `'false'` are preserved. Pinned by `test/ai/build-gateway-config.test.ts`.
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- `src/core/ai/build-gateway-config.ts` — `buildGatewayConfig(c: GBrainConfig): AIGatewayConfig`, extracted from `src/cli.ts` (which re-exports it for back-compat). Single owner of translating stored config into gateway config — consumed by CLI runtime, init (`gbrain init`'s three configureGateway sites), `init-embed-check.ts`, the eval commands (cross-modal, takes-quality), provider diagnostics, and the in-process migration path. Folds file-plane API keys (openai/anthropic/zeroentropy/openrouter) into the gateway env and threads local-server `*_BASE_URL` env vars into base_urls; caller-provided `provider_base_urls` config wins over env base URLs. `process.env` wins EXCEPT empty-string / undefined values are dropped before the merge, so an injected empty `ANTHROPIC_API_KEY=''` (Claude Code neuters subprocess LLM calls this way) can't clobber a valid config-plane key; `'0'` / `'false'` are preserved. Pinned by `test/ai/build-gateway-config.test.ts`.
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- `src/commands/doctor.ts` extension — `subagent_provider` check (layer 3 of 3). Warns when `models.tier.subagent` is explicitly set non-Anthropic (message names the bad value + paste-ready fix `gbrain config set models.tier.subagent anthropic:claude-sonnet-4-6`); also warns when `models.default` would sneak `subagent` into a non-Anthropic provider via tier inheritance. OK when subagent tier resolves to Anthropic. Tests in `test/doctor.test.ts`.
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- `src/core/skill-trigger-index.ts` — Shared loader that unions per-skill SKILL.md frontmatter `triggers:` with curated RESOLVER.md / AGENTS.md rows from `skillsDir` AND the parent dir (preserves the OpenClaw workspace-root layout). UNION semantics: explicit RESOLVER.md rows ADD to frontmatter triggers (don't replace). Dedup keyed on `(skillPath, trigger.trim().toLowerCase())`. Three consumers fold through this primitive — `checkResolvable`, `runRoutingEvalCli`, `mounts-cache.composeResolvers` — so fixing frontmatter reaches all of them. Exports `loadSkillTriggerIndex(skillsDir): SkillTriggerEntry[]`, `entriesToResolverContent(entries): string` (synthesizes a markdown-table resolver string for `runRoutingEval`'s string-content API), `findPrimaryResolverPath(skillsDir): string | null`, the `FRONTMATTER_SECTION` constant, and `_resetWarnedSkillsForTests`. Skip rules: non-directory entries, `_*`/`.*` prefixes, `conventions/`+`migrations/` subdirs, skills with no `SKILL.md` (deprecated `install/` graceful-skipped), no `triggers:` array, or malformed YAML (warn-once + skip). Reuses `parseSkillFrontmatter` from `src/core/skill-frontmatter.ts` (regex-based, not full YAML). Pinned by `test/skill-trigger-index.test.ts` (18 hermetic cases). CI gate `bun run check:resolver` (= `bun src/cli.ts check-resolvable --strict --skills-dir skills/`) wired into `bun run verify`.
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- `src/core/skill-catalog.ts` — host-repo skill catalog backing the MCP `list_skills` / `get_skill` ops. Lets a thin MCP client (Codex desktop, Claude Code, Claude Cowork, Perplexity) DISCOVER + FOLLOW the agent repo's fat-markdown skills over `gbrain serve` — a skill is prose, so "using" one = fetching its body then calling the gbrain MCP tools the server already exposes. Read-scope, NOT localOnly (defensible only via the full mitigation stack): (1) **publish gate** — `assertPublishEnabled(ctx, publishSkills)`; remote callers require `mcp.publish_skills === true`, default-OFF so an upgrade never silently grants existing read tokens host-skill read; local callers (`ctx.remote === false`) always pass. (2) **path confinement** — `assertSkillNameShape` rejects separators/`..`/null/space before any FS access; the client `name` is a manifest LOOKUP KEY (via `loadOrDeriveManifest`), never a raw path segment; `confineManifestPath` does realpath + relative-containment + `SKILL.md`-regular-file check on EVERY entry (defeats poisoned manifest.json `path`, symlink/`..` escape). (3) **frontmatter allowlist** — `GetSkillResult.frontmatter` projects a safe subset; private `writes_to` + `sources` dropped. (4) **prose-only + 256KB cap** (`MAX_SKILL_MD_BYTES`, env `GBRAIN_MAX_SKILL_MD_BYTES`), size-checked twice (statSync + UTF-8 byte length). (5) **no install_path serve for remote** — remote callers use `autoDetectSkillsDir` (no install-path tier) so a hosted gbrain with no agent repo returns `storage_error`; local callers use `autoDetectSkillsDirReadOnly`. (6) MCP rate-limiter caps call rate. Config reads honor BOTH planes: `readMcpPublishSkills` / `readMcpSkillsDir` prefer the DB plane (`engine.getConfig`) over the file plane (`ctx.config.mcp`). Tool-honesty: `crossReferenceTools(declared, ctx)` splits a skill's declared `tools:` into `usable_tools` vs `unavailable_tools`; `buildSkillCatalog`'s `instructions` envelope (`SKILL_CATALOG_INSTRUCTIONS`) carries the "these are prose, follow-then-call-tools" protocol. Skills are host-filesystem repo-global — `sourceScopeOpts(ctx)` / `ctx.brainId` deliberately do NOT apply. `buildSkillCatalog` is resilient (one malformed/escaping skill is skipped, never throws). Config keys in `src/core/config.ts`: `GBrainConfig.mcp?: { publish_skills?, skills_dir? }` + `KNOWN_CONFIG_KEYS` entries `mcp.publish_skills`/`mcp.publish_skills_prompted`/`mcp.skills_dir` + `mcp.` prefix in `KNOWN_CONFIG_KEY_PREFIXES`. `src/commands/init.ts` writes `config.mcp = { publish_skills: true, ... }` for new installs (existing config wins on re-init). `src/commands/upgrade.ts:runPostUpgrade` adds a one-time consent prompt (gated by `mcp.publish_skills_prompted`; existing installs stay OFF until owner opts in). Two ops register in `src/core/operations.ts` (`list_skills` with optional `section` filter + `cliHints:{name:'skills'}`; `get_skill` taking `name` + `cliHints:{name:'skill', positional:['name']}`) and dynamically import this module to avoid the import cycle (skill-catalog statically imports the `operations` array). Descriptions in `src/core/operations-descriptions.ts` (`LIST_SKILLS_DESCRIPTION`, `GET_SKILL_DESCRIPTION`, `SKILL_CATALOG_INSTRUCTIONS`, `SKILL_CLIENT_GUIDANCE`), pinned by `test/operations-descriptions.test.ts`. CLI: `gbrain skills` / `gbrain skill <name>`. Pinned by `test/skill-catalog.test.ts`, `test/skill-catalog-security.test.ts` (path-confinement / poisoned-manifest / symlink-escape), `test/skill-catalog-transports.test.ts` (publish-gate + remote-vs-local) over `test/fixtures/skill-catalog/`.
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@@ -21,7 +21,8 @@ import { join } from 'path';
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import { tmpdir } from 'os';
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import { createHash } from 'crypto';
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import { gbrainPath, loadConfig } from '../core/config.ts';
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import { gbrainPath, loadConfig, type GBrainConfig } from '../core/config.ts';
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import { buildGatewayConfig } from '../core/ai/build-gateway-config.ts';
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import { configureGateway, isAvailable } from '../core/ai/gateway.ts';
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import { runWithLimit } from '../core/worker-pool.ts';
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import { resolveCycleDefault, cycleDefaultSuffix } from '../core/eval/cycle-default.ts';
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@@ -264,32 +265,11 @@ function isTTY(): boolean {
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* Returns true on success; false (and prints a hint) when no config is found.
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*/
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function configureGatewayForCli(): boolean {
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// Route through buildGatewayConfig (the single adapter seam) so file-plane
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// API keys, env base URLs, and provider_chat_options follow the same
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// precedence as the runtime path. No config file is fine — env alone serves.
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const config = loadConfig();
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if (!config) {
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// No config file is fine for the eval command — env vars alone may serve.
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// We still call configureGateway so gateway recipes can read the env map.
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configureGateway({
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embedding_model: undefined,
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embedding_dimensions: undefined,
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expansion_model: undefined,
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chat_model: undefined,
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chat_fallback_chain: undefined,
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base_urls: undefined,
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provider_chat_options: undefined,
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env: { ...process.env },
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});
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return true;
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}
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configureGateway({
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embedding_model: config.embedding_model,
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embedding_dimensions: config.embedding_dimensions,
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expansion_model: config.expansion_model,
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chat_model: config.chat_model,
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chat_fallback_chain: config.chat_fallback_chain,
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base_urls: config.provider_base_urls,
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provider_chat_options: config.provider_chat_options,
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env: { ...process.env },
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});
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configureGateway(buildGatewayConfig(config ?? ({} as GBrainConfig)));
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return true;
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}
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@@ -21,7 +21,8 @@
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*/
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import type { BrainEngine } from '../core/engine.ts';
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import { configureGateway } from '../core/ai/gateway.ts';
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import { loadConfig } from '../core/config.ts';
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import { buildGatewayConfig } from '../core/ai/build-gateway-config.ts';
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import { loadConfig, type GBrainConfig } from '../core/config.ts';
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import { runEval, DEFAULT_MODEL_PANEL } from '../core/takes-quality-eval/runner.ts';
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import { resolveCycleDefault, cycleDefaultSuffix } from '../core/eval/cycle-default.ts';
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import { writeReceipt } from '../core/takes-quality-eval/receipt-write.ts';
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@@ -127,8 +128,12 @@ export async function runReplayNoBrain(argv: string[]): Promise<number> {
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export async function runEvalTakesQuality(engine: BrainEngine, args: string[]): Promise<void> {
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// Self-configure the AI gateway (mirrors eval-cross-modal pattern). The
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// gateway needs config.ai_gateway + env vars; configureGateway reads both.
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// Route through buildGatewayConfig: the old `{ ...cfg, ...process.env }`
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// spread never populated the gateway's `env` field (the gateway NEVER reads
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// process.env at call time), so availability checks saw no keys at all and
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// file-plane API keys / provider base URLs were dropped.
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const cfg = loadConfig();
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configureGateway({ ...cfg, ...(process.env as Record<string, string>) } as any);
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configureGateway(buildGatewayConfig(cfg ?? ({} as GBrainConfig)));
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const { subcmd, argv, json } = parseSubcmd(args);
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+12
-14
@@ -7,6 +7,7 @@ import { homedir } from 'os';
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const __filename = fileURLToPath(import.meta.url);
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const __dirname = dirname(__filename);
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import { saveConfig, loadConfig, loadConfigFileOnly, toEngineConfig, gbrainPath, configPath, isThinClient, effectiveEnvDatabaseUrl, type GBrainConfig } from '../core/config.ts';
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import { buildGatewayConfig } from '../core/ai/build-gateway-config.ts';
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import { createEngine } from '../core/engine-factory.ts';
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import { discoverOAuth, mintClientCredentialsToken, smokeTestMcp } from '../core/remote-mcp-probe.ts';
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import { runInitEmbedCheck } from '../core/init-embed-check.ts';
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@@ -722,7 +723,8 @@ async function configureGatewayWithMergedPrecedence(
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// pollutes config.json.
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const envOverlay = loadConfig() ?? ({} as GBrainConfig);
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const merged = {
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const merged: GBrainConfig = {
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...envOverlay,
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embedding_model: aiOpts?.embedding_model ?? envOverlay.embedding_model ?? existingFile.embedding_model,
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embedding_dimensions: aiOpts?.embedding_dimensions ?? envOverlay.embedding_dimensions ?? existingFile.embedding_dimensions,
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expansion_model: aiOpts?.expansion_model ?? envOverlay.expansion_model ?? existingFile.expansion_model,
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@@ -730,13 +732,9 @@ async function configureGatewayWithMergedPrecedence(
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};
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const { configureGateway, getEmbeddingModel, getEmbeddingDimensions, getExpansionModel, getChatModel } = await import('../core/ai/gateway.ts');
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configureGateway({
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embedding_model: merged.embedding_model,
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embedding_dimensions: merged.embedding_dimensions,
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expansion_model: merged.expansion_model,
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chat_model: merged.chat_model,
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env: { ...process.env },
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});
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// buildGatewayConfig (the single adapter seam) so file-plane API keys and
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// env base URLs reach the gateway — a hand-rolled config here dropped them.
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configureGateway(buildGatewayConfig(merged));
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// Read back resolved values — gateway applies internal defaults for unset
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// fields, so these are the values that actually shaped the schema.
|
||||
@@ -831,13 +829,13 @@ async function initPGLite(opts: {
|
||||
// resolveAIOptions above: CLI flags > env vars > existing file > gateway
|
||||
// defaults.
|
||||
const { configureGateway } = await import('../core/ai/gateway.ts');
|
||||
configureGateway({
|
||||
configureGateway(buildGatewayConfig({
|
||||
...(loadConfig() ?? ({} as GBrainConfig)),
|
||||
embedding_model: resolvedModel ?? opts.aiOpts?.embedding_model,
|
||||
embedding_dimensions: resolvedDim ?? opts.aiOpts?.embedding_dimensions,
|
||||
expansion_model: opts.aiOpts?.expansion_model,
|
||||
chat_model: opts.aiOpts?.chat_model,
|
||||
env: { ...process.env },
|
||||
});
|
||||
} as GBrainConfig));
|
||||
if (resolvedModel) console.log(` Embedding: ${resolvedModel} (${resolvedDim}d)`);
|
||||
if (opts.aiOpts?.expansion_model) console.log(` Expansion: ${opts.aiOpts.expansion_model}`);
|
||||
if (opts.aiOpts?.chat_model) console.log(` Chat: ${opts.aiOpts.chat_model}`);
|
||||
@@ -1046,13 +1044,13 @@ async function initPostgres(opts: {
|
||||
|
||||
// T6: unconditional configureGateway BEFORE initSchema.
|
||||
const { configureGateway } = await import('../core/ai/gateway.ts');
|
||||
configureGateway({
|
||||
configureGateway(buildGatewayConfig({
|
||||
...(loadConfig() ?? ({} as GBrainConfig)),
|
||||
embedding_model: resolvedModel ?? opts.aiOpts?.embedding_model,
|
||||
embedding_dimensions: resolvedDim ?? opts.aiOpts?.embedding_dimensions,
|
||||
expansion_model: opts.aiOpts?.expansion_model,
|
||||
chat_model: opts.aiOpts?.chat_model,
|
||||
env: { ...process.env },
|
||||
});
|
||||
} as GBrainConfig));
|
||||
if (resolvedModel) console.log(` Embedding: ${resolvedModel} (${resolvedDim}d)`);
|
||||
if (opts.aiOpts?.expansion_model) console.log(` Expansion: ${opts.aiOpts.expansion_model}`);
|
||||
if (opts.aiOpts?.chat_model) console.log(` Chat: ${opts.aiOpts.chat_model}`);
|
||||
|
||||
@@ -66,15 +66,11 @@ export async function runMigrateOnlyCore(opts?: { timeoutMs?: number }): Promise
|
||||
|
||||
// configureGateway BEFORE initSchema (init.ts B.3): a schema bump on a brain
|
||||
// whose file config is missing embedding fields must not fall through to
|
||||
// stale hardcoded fallbacks. loadConfig already merged env; propagate it.
|
||||
// stale hardcoded fallbacks. Route through buildGatewayConfig so file-plane
|
||||
// API keys and provider base URLs follow the same precedence as runtime.
|
||||
const { configureGateway } = await import('../../core/ai/gateway.ts');
|
||||
configureGateway({
|
||||
embedding_model: config.embedding_model,
|
||||
embedding_dimensions: config.embedding_dimensions,
|
||||
expansion_model: config.expansion_model,
|
||||
chat_model: config.chat_model,
|
||||
env: { ...process.env },
|
||||
});
|
||||
const { buildGatewayConfig } = await import('../../core/ai/build-gateway-config.ts');
|
||||
configureGateway(buildGatewayConfig(config));
|
||||
|
||||
const timeoutMs = opts?.timeoutMs ?? MIGRATE_ONLY_TIMEOUT_MS;
|
||||
const engine = await createEngine(toEngineConfig(config));
|
||||
|
||||
@@ -18,22 +18,12 @@
|
||||
import { loadConfig } from '../config.ts';
|
||||
|
||||
export function hasAnthropicKey(): boolean {
|
||||
return resolveAnthropicKey() !== undefined;
|
||||
}
|
||||
|
||||
/**
|
||||
* Resolve the actual key value: env first, then the gbrain config file.
|
||||
* Callers constructing an Anthropic client directly (e.g. the legacy
|
||||
* subagent path) must pass this as `apiKey` — a bare `new Anthropic()`
|
||||
* only sees env, so launchd/MCP workers with config-stored keys fail.
|
||||
*/
|
||||
export function resolveAnthropicKey(): string | undefined {
|
||||
if (process.env.ANTHROPIC_API_KEY) return process.env.ANTHROPIC_API_KEY;
|
||||
if (process.env.ANTHROPIC_API_KEY) return true;
|
||||
try {
|
||||
const cfg = loadConfig();
|
||||
if (cfg?.anthropic_api_key) return cfg.anthropic_api_key;
|
||||
if (cfg?.anthropic_api_key) return true;
|
||||
} catch {
|
||||
// loadConfig may throw on first-run installs; treat as no key available.
|
||||
}
|
||||
return undefined;
|
||||
return false;
|
||||
}
|
||||
|
||||
@@ -12,8 +12,8 @@ import { parseModelId } from './ai/model-resolver.ts';
|
||||
* `resolveKey` closure without re-parsing recipes.
|
||||
*
|
||||
* Only OPENAI_API_KEY and ZEROENTROPY_API_KEY appear here because those are the
|
||||
* only embedding keys `buildGatewayConfig` (src/cli.ts) folds from config into
|
||||
* the gateway env. VOYAGE_API_KEY / GOOGLE_GENERATIVE_AI_API_KEY are deliberately
|
||||
* only embedding keys `buildGatewayConfig` (src/core/ai/build-gateway-config.ts)
|
||||
* folds from config into the gateway env. VOYAGE_API_KEY / GOOGLE_GENERATIVE_AI_API_KEY are deliberately
|
||||
* absent: their config fields are NOT threaded to the gateway today, so the
|
||||
* producer closures fall through to checking `process.env` ONLY for them. That
|
||||
* matches what the gateway can actually use (the recipes read those keys from
|
||||
|
||||
@@ -48,7 +48,6 @@ import {
|
||||
logSubagentHeartbeat,
|
||||
} from './subagent-audit.ts';
|
||||
import { resolveModel, isAnthropicProvider, TIER_DEFAULTS } from '../../model-config.ts';
|
||||
import { resolveAnthropicKey } from '../../ai/anthropic-key.ts';
|
||||
import { buildSystemPrompt, DEFAULT_SUBAGENT_SYSTEM } from '../system-prompt.ts';
|
||||
import { toolLoop as gatewayToolLoop } from '../../ai/gateway.ts';
|
||||
import type { ChatToolDef, ChatMessage, ChatBlock, ChatResult, ToolHandler } from '../../ai/gateway.ts';
|
||||
@@ -187,10 +186,7 @@ export function makeSubagentHandler(deps: SubagentDeps) {
|
||||
// lives at sdk.messages.create. Assigning sdk.messages directly gets the
|
||||
// right object; JS method-call semantics preserve `this` at the call
|
||||
// site (subagent.ts invokes client.create(...) with client === sdk.messages).
|
||||
// Resolve the key env-first, then config (anthropic_api_key) — a bare
|
||||
// new Anthropic() only reads env, so launchd/MCP workers whose key lives
|
||||
// in the gbrain config file would fail auth (#2048).
|
||||
const makeAnthropic = deps.makeAnthropic ?? (() => new Anthropic({ apiKey: resolveAnthropicKey() }));
|
||||
const makeAnthropic = deps.makeAnthropic ?? (() => new Anthropic());
|
||||
const client: MessagesClient = deps.client ?? makeAnthropic().messages;
|
||||
const config = deps.config ?? loadConfig() ?? ({ engine: 'postgres' } as GBrainConfig);
|
||||
const rateLeaseKey = deps.rateLeaseKey ?? DEFAULT_RATE_KEY;
|
||||
|
||||
@@ -4562,8 +4562,7 @@ const list_schema_packs: Operation = {
|
||||
const { existsSync, readdirSync } = await import('node:fs');
|
||||
const { join } = await import('node:path');
|
||||
const { gbrainPath } = await import('./config.ts');
|
||||
const { BUNDLED_PACK_NAMES } = await import('./schema-pack/bundled.ts');
|
||||
const bundled = [...BUNDLED_PACK_NAMES];
|
||||
const bundled = ['gbrain-base', 'gbrain-recommended'];
|
||||
const installedDir = gbrainPath('schema-packs');
|
||||
const installed: string[] = [];
|
||||
if (existsSync(installedDir)) {
|
||||
|
||||
@@ -1,24 +0,0 @@
|
||||
// Bundled schema-pack registry — single source of truth for the packs that
|
||||
// ship in src/core/schema-pack/base/. Keep every bundled-pack consumer
|
||||
// (CLI/MCP inspection, active-pack loading, mutation guards, upgrade
|
||||
// discovery) on this one list so they cannot drift.
|
||||
//
|
||||
// v0.39 T8 — gbrain-base + gbrain-recommended.
|
||||
// v0.41 T4 — lens packs: creator, investor, engineer, everything (meta-pack).
|
||||
// v0.42 type-unification — gbrain-base-v2, the 15-type canonical successor.
|
||||
|
||||
export const BUNDLED_PACK_NAMES = [
|
||||
'gbrain-base',
|
||||
'gbrain-recommended',
|
||||
'gbrain-creator',
|
||||
'gbrain-investor',
|
||||
'gbrain-engineer',
|
||||
'gbrain-everything',
|
||||
'gbrain-base-v2',
|
||||
] as const;
|
||||
|
||||
export type BundledPackName = typeof BUNDLED_PACK_NAMES[number];
|
||||
|
||||
export function isBundledPackName(name: string): name is BundledPackName {
|
||||
return (BUNDLED_PACK_NAMES as readonly string[]).includes(name);
|
||||
}
|
||||
@@ -37,7 +37,6 @@ import {
|
||||
type ResolutionInput,
|
||||
type ResolutionResult,
|
||||
} from './registry.ts';
|
||||
import { isBundledPackName } from './bundled.ts';
|
||||
|
||||
/**
|
||||
* Inputs the caller (operations.ts handler / engine query path) provides.
|
||||
@@ -93,7 +92,28 @@ export function _resetPackLocatorForTests(): void {
|
||||
* throwing UnknownPackError with a paste-ready install hint.
|
||||
*/
|
||||
function defaultPackLocator(name: string): string | null {
|
||||
if (isBundledPackName(name)) {
|
||||
// v0.39 T8 — bundled packs registry. gbrain-base + gbrain-recommended
|
||||
// ship in src/core/schema-pack/base/. Add a new entry here to bundle
|
||||
// additional canonical packs.
|
||||
//
|
||||
// v0.41 T4 — lens packs join the bundle: creator (atoms + concepts +
|
||||
// extract_atoms/synthesize_concepts phases), investor (theses + bet
|
||||
// resolution + 3 calibration domains), engineer (gstack-learnings bridge
|
||||
// + 3 calibration domains), everything (meta-pack stacking all three
|
||||
// via extends + borrow_from). Each ships as a real YAML at base/<name>.yaml.
|
||||
const BUNDLED: ReadonlyArray<string> = [
|
||||
'gbrain-base',
|
||||
'gbrain-recommended',
|
||||
'gbrain-creator',
|
||||
'gbrain-investor',
|
||||
'gbrain-engineer',
|
||||
'gbrain-everything',
|
||||
// v0.42 type-unification: 15-type canonical successor to gbrain-base.
|
||||
// Ships as install default (Lane E T17) + via gbrain onboard pack
|
||||
// upgrade flow (the unify-types Minion handler).
|
||||
'gbrain-base-v2',
|
||||
];
|
||||
if (BUNDLED.includes(name)) {
|
||||
// Resolve bundled YAML relative to this source file. Works in both
|
||||
// direct-bun execution and bun --compile binaries.
|
||||
const here = dirname(fileURLToPath(import.meta.url));
|
||||
|
||||
@@ -159,29 +159,6 @@ export function parseYamlMini(content: string): unknown {
|
||||
return parseMapping(baseIndent);
|
||||
}
|
||||
|
||||
function parseBlockScalar(parentIndent: number, folded: boolean): string {
|
||||
const contentIndent = parentIndent + 2;
|
||||
const out: string[] = [];
|
||||
while (i < lines.length) {
|
||||
const raw = lines[i];
|
||||
// Inside a block scalar everything is literal content — '#' is NOT a
|
||||
// comment here, so use the raw line (no stripComment / isBlank).
|
||||
if (raw.trim() === '') {
|
||||
out.push('');
|
||||
i++;
|
||||
continue;
|
||||
}
|
||||
const indent = indentOf(raw);
|
||||
if (indent <= parentIndent) break;
|
||||
out.push(raw.slice(Math.min(contentIndent, indent)));
|
||||
i++;
|
||||
}
|
||||
if (folded) {
|
||||
return out.join(' ').replace(/\s+$/u, '');
|
||||
}
|
||||
return out.join('\n').replace(/\n+$/u, '');
|
||||
}
|
||||
|
||||
function parseSequence(baseIndent: number): unknown[] {
|
||||
const result: unknown[] = [];
|
||||
while (i < lines.length) {
|
||||
@@ -250,10 +227,6 @@ export function parseYamlMini(content: string): unknown {
|
||||
i++;
|
||||
if (rest2 === '') {
|
||||
map[key2] = parseBlock(nextIndent + 2);
|
||||
} else if (rest2 === '|' || rest2 === '|-' || rest2 === '|+') {
|
||||
map[key2] = parseBlockScalar(nextIndent, false);
|
||||
} else if (rest2 === '>' || rest2 === '>-' || rest2 === '>+') {
|
||||
map[key2] = parseBlockScalar(nextIndent, true);
|
||||
} else {
|
||||
map[key2] = parseScalar(rest2);
|
||||
}
|
||||
@@ -284,10 +257,6 @@ export function parseYamlMini(content: string): unknown {
|
||||
i++;
|
||||
if (rest === '') {
|
||||
result[key] = parseBlock(indent + 2);
|
||||
} else if (rest === '|' || rest === '|-' || rest === '|+') {
|
||||
result[key] = parseBlockScalar(indent, false);
|
||||
} else if (rest === '>' || rest === '>-' || rest === '>+') {
|
||||
result[key] = parseBlockScalar(indent, true);
|
||||
} else {
|
||||
result[key] = parseScalar(rest);
|
||||
}
|
||||
|
||||
@@ -65,7 +65,6 @@ import { invalidateQueryCache } from './query-cache-invalidator.ts';
|
||||
import { logMutationFailure, logMutationSuccess, type MutationActor, type MutationOp } from './mutate-audit.ts';
|
||||
import { runFilePlaneLintRules } from './lint-rules.ts';
|
||||
import { withPackLock, type PackLockOpts } from './pack-lock.ts';
|
||||
import { BUNDLED_PACK_NAMES as BUNDLED_PACK_NAME_LIST } from './bundled.ts';
|
||||
import type { BrainEngine } from '../engine.ts';
|
||||
|
||||
export type PackFileFormat = 'json' | 'yaml';
|
||||
@@ -94,7 +93,7 @@ export class SchemaPackMutationError extends Error {
|
||||
}
|
||||
}
|
||||
|
||||
export const BUNDLED_PACK_NAMES = new Set<string>(BUNDLED_PACK_NAME_LIST);
|
||||
export const BUNDLED_PACK_NAMES = new Set(['gbrain-base', 'gbrain-recommended', 'gbrain-base-v2']);
|
||||
|
||||
export interface MutateResult {
|
||||
/** Pack name that was mutated. */
|
||||
|
||||
@@ -10,7 +10,7 @@ import { mkdtempSync, mkdirSync, writeFileSync, rmSync } from 'node:fs';
|
||||
import { tmpdir } from 'node:os';
|
||||
import { join } from 'node:path';
|
||||
import { withEnv } from '../helpers/with-env.ts';
|
||||
import { hasAnthropicKey, resolveAnthropicKey } from '../../src/core/ai/anthropic-key.ts';
|
||||
import { hasAnthropicKey } from '../../src/core/ai/anthropic-key.ts';
|
||||
|
||||
const tmpDirs: string[] = [];
|
||||
function freshHome(withConfig?: Record<string, unknown>): string {
|
||||
@@ -62,35 +62,3 @@ describe('hasAnthropicKey', () => {
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
describe('resolveAnthropicKey (#2048 — subagent config-key auth)', () => {
|
||||
test('env wins over config', async () => {
|
||||
const home = freshHome({ anthropic_api_key: 'sk-from-config' });
|
||||
await withEnv(
|
||||
{ ANTHROPIC_API_KEY: 'sk-from-env', GBRAIN_HOME: home, DATABASE_URL: undefined, GBRAIN_DATABASE_URL: undefined },
|
||||
async () => {
|
||||
expect(resolveAnthropicKey()).toBe('sk-from-env');
|
||||
},
|
||||
);
|
||||
});
|
||||
|
||||
test('config key returned when env unset', async () => {
|
||||
const home = freshHome({ anthropic_api_key: 'sk-from-config' });
|
||||
await withEnv(
|
||||
{ ANTHROPIC_API_KEY: undefined, GBRAIN_HOME: home, DATABASE_URL: undefined, GBRAIN_DATABASE_URL: undefined },
|
||||
async () => {
|
||||
expect(resolveAnthropicKey()).toBe('sk-from-config');
|
||||
},
|
||||
);
|
||||
});
|
||||
|
||||
test('neither → undefined', async () => {
|
||||
const home = freshHome();
|
||||
await withEnv(
|
||||
{ ANTHROPIC_API_KEY: undefined, GBRAIN_HOME: home, DATABASE_URL: undefined, GBRAIN_DATABASE_URL: undefined },
|
||||
async () => {
|
||||
expect(resolveAnthropicKey()).toBeUndefined();
|
||||
},
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
@@ -25,6 +25,7 @@ import { withEnv } from '../helpers/with-env.ts';
|
||||
|
||||
const PASSTHROUGHS: Array<{ envVar: string; recipeId: string }> = [
|
||||
{ envVar: 'LLAMA_SERVER_BASE_URL', recipeId: 'llama-server' },
|
||||
{ envVar: 'LLAMA_SERVER_RERANKER_BASE_URL', recipeId: 'llama-server-reranker' },
|
||||
{ envVar: 'OLLAMA_BASE_URL', recipeId: 'ollama' },
|
||||
{ envVar: 'LMSTUDIO_BASE_URL', recipeId: 'lmstudio' },
|
||||
{ envVar: 'LITELLM_BASE_URL', recipeId: 'litellm' },
|
||||
|
||||
@@ -11,32 +11,13 @@
|
||||
import { afterAll, beforeAll, beforeEach, describe, expect, test } from 'bun:test';
|
||||
import { PGLiteEngine } from '../src/core/pglite-engine.ts';
|
||||
import { loadConfigWithEngine, type GBrainConfig } from '../src/core/config.ts';
|
||||
import { buildGatewayConfig } from '../src/core/ai/build-gateway-config.ts';
|
||||
import {
|
||||
configureGateway,
|
||||
getEmbeddingModel,
|
||||
getMultimodalModel,
|
||||
resetGateway,
|
||||
} from '../src/core/ai/gateway.ts';
|
||||
import type { AIGatewayConfig } from '../src/core/ai/types.ts';
|
||||
|
||||
// Mirror the cli.ts buildGatewayConfig helper exactly. Keeping a copy here
|
||||
// (instead of exporting from cli.ts) is intentional: the test asserts the
|
||||
// shape of the contract, not the helper's identity. If cli.ts drifts, the
|
||||
// e2e behavior these tests care about (DB-set value lands in gateway) still
|
||||
// holds, but a helper-shape test would also catch the drift in PR review.
|
||||
function buildGatewayConfig(c: GBrainConfig): AIGatewayConfig {
|
||||
return {
|
||||
embedding_model: c.embedding_model,
|
||||
embedding_dimensions: c.embedding_dimensions,
|
||||
embedding_multimodal_model: c.embedding_multimodal_model,
|
||||
expansion_model: c.expansion_model,
|
||||
chat_model: c.chat_model,
|
||||
chat_fallback_chain: c.chat_fallback_chain,
|
||||
base_urls: c.provider_base_urls,
|
||||
provider_chat_options: c.provider_chat_options,
|
||||
env: { ...process.env },
|
||||
};
|
||||
}
|
||||
|
||||
let engine: PGLiteEngine;
|
||||
|
||||
@@ -47,6 +28,7 @@ beforeAll(async () => {
|
||||
});
|
||||
|
||||
afterAll(async () => {
|
||||
resetGateway(); // don't leak this file's gateway config into shard siblings
|
||||
await engine.disconnect();
|
||||
});
|
||||
|
||||
|
||||
@@ -0,0 +1,57 @@
|
||||
/**
|
||||
* eval-takes-quality gateway self-config — adapter-boundary regression
|
||||
* (takeover of PR #2430).
|
||||
*
|
||||
* The old callsite spread `{ ...cfg, ...process.env }` straight into
|
||||
* configureGateway. The gateway NEVER reads process.env at call time — it
|
||||
* reads `_config.env` — and that spread never populated an `env` field at
|
||||
* all, so every availability/diagnose check dereferenced `undefined.env[k]`
|
||||
* and file-plane API keys (config.json `openai_api_key` etc.) were dropped.
|
||||
* Routing through buildGatewayConfig fixes both. This test fails (throws)
|
||||
* on the old code path.
|
||||
*/
|
||||
import { afterAll, describe, expect, test } from 'bun:test';
|
||||
import { mkdirSync, mkdtempSync, rmSync, writeFileSync } from 'node:fs';
|
||||
import { tmpdir } from 'node:os';
|
||||
import { join } from 'node:path';
|
||||
import { runEvalTakesQuality } from '../src/commands/eval-takes-quality.ts';
|
||||
import { isAvailable, resetGateway } from '../src/core/ai/gateway.ts';
|
||||
import { withEnv } from './helpers/with-env.ts';
|
||||
import type { BrainEngine } from '../src/core/engine.ts';
|
||||
|
||||
afterAll(() => {
|
||||
resetGateway();
|
||||
});
|
||||
|
||||
describe('runEvalTakesQuality — gateway self-config routes through buildGatewayConfig', () => {
|
||||
test('file-plane openai_api_key reaches the gateway env (help path, engine untouched)', async () => {
|
||||
const home = mkdtempSync(join(tmpdir(), 'gbrain-etq-gw-'));
|
||||
try {
|
||||
mkdirSync(join(home, '.gbrain'), { recursive: true });
|
||||
writeFileSync(
|
||||
join(home, '.gbrain', 'config.json'),
|
||||
JSON.stringify({
|
||||
engine: 'pglite',
|
||||
database_path: join(home, '.gbrain', 'brain'),
|
||||
openai_api_key: 'sk-file-plane-test',
|
||||
}),
|
||||
);
|
||||
await withEnv(
|
||||
{
|
||||
GBRAIN_HOME: home,
|
||||
OPENAI_API_KEY: undefined,
|
||||
DATABASE_URL: undefined,
|
||||
GBRAIN_DATABASE_URL: undefined,
|
||||
},
|
||||
async () => {
|
||||
// 'help' returns before touching the engine, but the gateway is
|
||||
// configured first — exactly the seam under test.
|
||||
await runEvalTakesQuality({} as BrainEngine, ['--help']);
|
||||
expect(isAvailable('embedding', 'openai:text-embedding-3-small')).toBe(true);
|
||||
},
|
||||
);
|
||||
} finally {
|
||||
rmSync(home, { recursive: true, force: true });
|
||||
}
|
||||
});
|
||||
});
|
||||
@@ -55,13 +55,13 @@ describe('v0.41 T4: all 4 bundled lens packs parse cleanly', () => {
|
||||
});
|
||||
|
||||
describe('v0.41 T4: bundled registry includes lens packs', () => {
|
||||
test('BUNDLED_PACK_NAMES includes the 4 lens pack names', async () => {
|
||||
// The bundled list moved from load-active.ts to bundled.ts (the
|
||||
// single source of truth); assert the array directly instead of
|
||||
// grepping source text.
|
||||
const { BUNDLED_PACK_NAMES } = await import('../src/core/schema-pack/bundled.ts');
|
||||
test('load-active.ts BUNDLED array source includes the 4 lens pack names', () => {
|
||||
const loadActiveSrc = readFileSync(
|
||||
join(here, '..', 'src', 'core', 'schema-pack', 'load-active.ts'),
|
||||
'utf-8',
|
||||
);
|
||||
for (const name of PACK_NAMES) {
|
||||
expect(BUNDLED_PACK_NAMES).toContain(name);
|
||||
expect(loadActiveSrc).toContain(`'${name}'`);
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
@@ -149,9 +149,6 @@ describe('list_schema_packs', () => {
|
||||
seedPack('mine');
|
||||
const result = await operationsByName.list_schema_packs!.handler(ctxOf(), {}) as { bundled: string[]; installed: string[] };
|
||||
expect(result.bundled).toContain('gbrain-base');
|
||||
expect(result.bundled).toContain('gbrain-recommended');
|
||||
expect(result.bundled).toContain('gbrain-base-v2');
|
||||
expect(result.bundled).toContain('gbrain-investor');
|
||||
expect(result.installed).toContain('mine');
|
||||
});
|
||||
});
|
||||
|
||||
+1
-38
@@ -64,14 +64,11 @@ describe('gbrain schema CLI (Phase C)', () => {
|
||||
expect(r.stdout + r.stderr).toMatch(/schema|active|list|show|validate|use/i);
|
||||
});
|
||||
|
||||
test('schema list shows all bundled packs', () => {
|
||||
test('schema list shows gbrain-base bundled', () => {
|
||||
const r = gbrain(['schema', 'list']);
|
||||
expect(r.code).toBe(0);
|
||||
expect(r.stdout).toContain('Bundled packs:');
|
||||
expect(r.stdout).toContain('gbrain-base');
|
||||
expect(r.stdout).toContain('gbrain-recommended');
|
||||
expect(r.stdout).toContain('gbrain-base-v2');
|
||||
expect(r.stdout).toContain('gbrain-investor');
|
||||
});
|
||||
|
||||
test('schema show gbrain-base prints manifest details', () => {
|
||||
@@ -100,40 +97,6 @@ describe('gbrain schema CLI (Phase C)', () => {
|
||||
expect(r.stdout).toContain('valid manifest');
|
||||
});
|
||||
|
||||
test('schema show/validate exposes bundled gbrain-recommended', () => {
|
||||
const show = gbrain(['schema', 'show', 'gbrain-recommended']);
|
||||
expect(show.code).toBe(0);
|
||||
expect(show.stdout).toContain('gbrain-recommended v1.0.0');
|
||||
expect(show.stdout).toContain('Page types (');
|
||||
expect(show.stdout).toContain('meeting :: temporal');
|
||||
|
||||
const validate = gbrain(['schema', 'validate', 'gbrain-recommended']);
|
||||
expect(validate.code).toBe(0);
|
||||
expect(validate.stdout).toContain('valid manifest');
|
||||
});
|
||||
|
||||
test('schema show exposes bundled gbrain-base-v2 successor pack', () => {
|
||||
const r = gbrain(['schema', 'show', 'gbrain-base-v2']);
|
||||
expect(r.code).toBe(0);
|
||||
expect(r.stdout).toContain('gbrain-base-v2 v1.0.0');
|
||||
expect(r.stdout).toContain('Page types (');
|
||||
expect(r.stdout).toContain('Link verbs (14)');
|
||||
});
|
||||
|
||||
test('schema active loads configured gbrain-recommended with real types', () => {
|
||||
const home = mkdtempSync(join(tmpdir(), 'gbrain-schema-active-recommended-'));
|
||||
try {
|
||||
mkdirSync(join(home, '.gbrain'), { recursive: true });
|
||||
writeFileSync(join(home, '.gbrain', 'config.json'), JSON.stringify({ schema_pack: 'gbrain-recommended' }), 'utf-8');
|
||||
const r = gbrain(['schema', 'active'], { GBRAIN_HOME: home });
|
||||
expect(r.code).toBe(0);
|
||||
expect(r.stdout).toContain('Active pack: gbrain-recommended');
|
||||
expect(r.stdout).not.toContain('Page types: 0');
|
||||
} finally {
|
||||
rmSync(home, { recursive: true, force: true });
|
||||
}
|
||||
});
|
||||
|
||||
test('schema active reports default resolution', () => {
|
||||
const r = gbrain(['schema', 'active']);
|
||||
expect(r.code).toBe(0);
|
||||
|
||||
@@ -345,34 +345,6 @@ describe('YAML mini-parser', () => {
|
||||
expect(result.types[1].weight).toBe(2);
|
||||
});
|
||||
|
||||
test('parses block scalar without swallowing following keys', () => {
|
||||
const yaml = `name: blocky
|
||||
description: |
|
||||
First line.
|
||||
Second line.
|
||||
page_types:
|
||||
- name: meeting
|
||||
primitive: temporal
|
||||
path_prefixes:
|
||||
- meetings/
|
||||
aliases: []
|
||||
extractable: true
|
||||
expert_routing: false`;
|
||||
const result = parseYamlMini(yaml) as { description: string; page_types: Array<Record<string, unknown>> };
|
||||
expect(result.description).toBe('First line.\nSecond line.');
|
||||
expect(result.page_types).toHaveLength(1);
|
||||
expect(result.page_types[0].name).toBe('meeting');
|
||||
});
|
||||
|
||||
test('block scalar keeps # as literal content, not a comment', () => {
|
||||
const yaml = `description: |
|
||||
See issue #2029 for context.
|
||||
name: hashy`;
|
||||
const result = parseYamlMini(yaml) as Record<string, unknown>;
|
||||
expect(result.description).toBe('See issue #2029 for context.');
|
||||
expect(result.name).toBe('hashy');
|
||||
});
|
||||
|
||||
test('strips comments', () => {
|
||||
const result = parseYamlMini('# top comment\nname: value # inline comment') as Record<string, unknown>;
|
||||
expect(result.name).toBe('value');
|
||||
@@ -402,27 +374,6 @@ extends: null`;
|
||||
const pack = loadPackFromString(json, 'fixture.json');
|
||||
expect(pack.name).toBe('json-pack');
|
||||
});
|
||||
|
||||
test('loads block-scalar pack descriptions without losing page types', () => {
|
||||
const pack = loadPackFromString(`api_version: gbrain-schema-pack-v1
|
||||
name: recommended-fixture
|
||||
version: 1.0.0
|
||||
extends: gbrain-base
|
||||
description: |
|
||||
Operational starter pack.
|
||||
page_types:
|
||||
- name: meeting
|
||||
primitive: temporal
|
||||
path_prefixes:
|
||||
- meetings/
|
||||
aliases: []
|
||||
extractable: true
|
||||
expert_routing: false
|
||||
link_types: []`, 'fixture.yaml');
|
||||
expect(pack.name).toBe('recommended-fixture');
|
||||
expect(pack.extends).toBe('gbrain-base');
|
||||
expect(pack.page_types.map((t) => t.name)).toContain('meeting');
|
||||
});
|
||||
});
|
||||
|
||||
describe('ReDoS guard', () => {
|
||||
|
||||
@@ -103,10 +103,7 @@ describe('locateMutablePackFile — bundled guard', () => {
|
||||
expect(BUNDLED_PACK_NAMES.has('gbrain-recommended')).toBe(true);
|
||||
// v0.42 (T22): gbrain-base-v2 joins the bundled set.
|
||||
expect(BUNDLED_PACK_NAMES.has('gbrain-base-v2')).toBe(true);
|
||||
// Derived from the single bundled registry — the lens packs (creator,
|
||||
// investor, engineer, everything) are read-only too.
|
||||
expect(BUNDLED_PACK_NAMES.has('gbrain-investor')).toBe(true);
|
||||
expect(BUNDLED_PACK_NAMES.size).toBe(7);
|
||||
expect(BUNDLED_PACK_NAMES.size).toBe(3);
|
||||
});
|
||||
|
||||
it('rejects gbrain-base-v2 with PACK_READONLY (bundled guard)', () => {
|
||||
|
||||
Reference in New Issue
Block a user