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Author SHA1 Message Date
Garry TanandClaude Fable 5 b46b349028 test: reset gateway in afterAll in cli-multimodal-integration — cross-file config leak
Review hardening on #3116: the file resets the gateway in beforeEach but
left it configured after the last test, leaking a multimodal gateway
config into whatever file runs next in its shard (same class as the
adaptive-embed-batch leak fixed on master).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-22 12:12:41 -07:00
73256e56a0 fix(config): route remaining hand-rolled configureGateway callsites through buildGatewayConfig
Takeover of #2430 (rebased onto master; the providers.ts hunk already
landed there). Five command callsites still rebuilt partial gateway
configs by hand, dropping file-plane API keys (config.json
openai/anthropic/zeroentropy/openrouter keys), env-provided provider
base URLs, and provider_chat_options:

- src/commands/eval-takes-quality.ts: spread `{...cfg, ...process.env}`
  at top level, so the gateway's `env` field was never populated at all —
  availability/diagnose checks dereferenced undefined and threw.
- src/commands/eval-cross-modal.ts: configureGatewayForCli hand-rolled
  both branches; now one buildGatewayConfig call.
- src/commands/init.ts: all three configureGateway sites (merged-
  precedence helper + PGLite + Postgres init) now overlay the resolved
  model fields on loadConfig() and route through the adapter.
- src/commands/migrations/in-process.ts: runMigrateOnlyCore same.

Tests: new test/eval-takes-quality-gateway.test.ts (fails with a throw
on the old code path); LLAMA_SERVER_RERANKER_BASE_URL added to the
adapter passthrough sweep; cli-multimodal-integration now imports the
real adapter instead of a hand-maintained mirror copy. KEY_FILES.md
entries updated to current state.

Co-authored-by: TheAngryPit <TheAngryPit@users.noreply.github.com>

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-21 14:34:19 -07:00
25 changed files with 127 additions and 462 deletions
+2 -2
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@@ -79,7 +79,7 @@ per-release `**vX.Y.Z:**` narration — CI enforces this
- `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).
- `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`.
- `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).
- `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`.
- `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`.
- `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`.
- `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.
- `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).
@@ -138,7 +138,7 @@ per-release `**vX.Y.Z:**` narration — CI enforces this
- `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`.
- `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'`.
- `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`).
- `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`.
- `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`.
- `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`.
- `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`.
- `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/`.
+6 -26
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@@ -21,7 +21,8 @@ import { join } from 'path';
import { tmpdir } from 'os';
import { createHash } from 'crypto';
import { gbrainPath, loadConfig } from '../core/config.ts';
import { gbrainPath, loadConfig, type GBrainConfig } from '../core/config.ts';
import { buildGatewayConfig } from '../core/ai/build-gateway-config.ts';
import { configureGateway, isAvailable } from '../core/ai/gateway.ts';
import { runWithLimit } from '../core/worker-pool.ts';
import { resolveCycleDefault, cycleDefaultSuffix } from '../core/eval/cycle-default.ts';
@@ -264,32 +265,11 @@ function isTTY(): boolean {
* Returns true on success; false (and prints a hint) when no config is found.
*/
function configureGatewayForCli(): boolean {
// Route through buildGatewayConfig (the single adapter seam) so file-plane
// API keys, env base URLs, and provider_chat_options follow the same
// precedence as the runtime path. No config file is fine — env alone serves.
const config = loadConfig();
if (!config) {
// No config file is fine for the eval command — env vars alone may serve.
// We still call configureGateway so gateway recipes can read the env map.
configureGateway({
embedding_model: undefined,
embedding_dimensions: undefined,
expansion_model: undefined,
chat_model: undefined,
chat_fallback_chain: undefined,
base_urls: undefined,
provider_chat_options: undefined,
env: { ...process.env },
});
return true;
}
configureGateway({
embedding_model: config.embedding_model,
embedding_dimensions: config.embedding_dimensions,
expansion_model: config.expansion_model,
chat_model: config.chat_model,
chat_fallback_chain: config.chat_fallback_chain,
base_urls: config.provider_base_urls,
provider_chat_options: config.provider_chat_options,
env: { ...process.env },
});
configureGateway(buildGatewayConfig(config ?? ({} as GBrainConfig)));
return true;
}
+7 -2
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@@ -21,7 +21,8 @@
*/
import type { BrainEngine } from '../core/engine.ts';
import { configureGateway } from '../core/ai/gateway.ts';
import { loadConfig } from '../core/config.ts';
import { buildGatewayConfig } from '../core/ai/build-gateway-config.ts';
import { loadConfig, type GBrainConfig } from '../core/config.ts';
import { runEval, DEFAULT_MODEL_PANEL } from '../core/takes-quality-eval/runner.ts';
import { resolveCycleDefault, cycleDefaultSuffix } from '../core/eval/cycle-default.ts';
import { writeReceipt } from '../core/takes-quality-eval/receipt-write.ts';
@@ -127,8 +128,12 @@ export async function runReplayNoBrain(argv: string[]): Promise<number> {
export async function runEvalTakesQuality(engine: BrainEngine, args: string[]): Promise<void> {
// Self-configure the AI gateway (mirrors eval-cross-modal pattern). The
// gateway needs config.ai_gateway + env vars; configureGateway reads both.
// Route through buildGatewayConfig: the old `{ ...cfg, ...process.env }`
// spread never populated the gateway's `env` field (the gateway NEVER reads
// process.env at call time), so availability checks saw no keys at all and
// file-plane API keys / provider base URLs were dropped.
const cfg = loadConfig();
configureGateway({ ...cfg, ...(process.env as Record<string, string>) } as any);
configureGateway(buildGatewayConfig(cfg ?? ({} as GBrainConfig)));
const { subcmd, argv, json } = parseSubcmd(args);
+12 -14
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@@ -7,6 +7,7 @@ import { homedir } from 'os';
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
import { saveConfig, loadConfig, loadConfigFileOnly, toEngineConfig, gbrainPath, configPath, isThinClient, effectiveEnvDatabaseUrl, type GBrainConfig } from '../core/config.ts';
import { buildGatewayConfig } from '../core/ai/build-gateway-config.ts';
import { createEngine } from '../core/engine-factory.ts';
import { discoverOAuth, mintClientCredentialsToken, smokeTestMcp } from '../core/remote-mcp-probe.ts';
import { runInitEmbedCheck } from '../core/init-embed-check.ts';
@@ -722,7 +723,8 @@ async function configureGatewayWithMergedPrecedence(
// pollutes config.json.
const envOverlay = loadConfig() ?? ({} as GBrainConfig);
const merged = {
const merged: GBrainConfig = {
...envOverlay,
embedding_model: aiOpts?.embedding_model ?? envOverlay.embedding_model ?? existingFile.embedding_model,
embedding_dimensions: aiOpts?.embedding_dimensions ?? envOverlay.embedding_dimensions ?? existingFile.embedding_dimensions,
expansion_model: aiOpts?.expansion_model ?? envOverlay.expansion_model ?? existingFile.expansion_model,
@@ -730,13 +732,9 @@ async function configureGatewayWithMergedPrecedence(
};
const { configureGateway, getEmbeddingModel, getEmbeddingDimensions, getExpansionModel, getChatModel } = await import('../core/ai/gateway.ts');
configureGateway({
embedding_model: merged.embedding_model,
embedding_dimensions: merged.embedding_dimensions,
expansion_model: merged.expansion_model,
chat_model: merged.chat_model,
env: { ...process.env },
});
// buildGatewayConfig (the single adapter seam) so file-plane API keys and
// env base URLs reach the gateway — a hand-rolled config here dropped them.
configureGateway(buildGatewayConfig(merged));
// Read back resolved values — gateway applies internal defaults for unset
// 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}`);
+4 -8
View File
@@ -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));
-4
View File
@@ -50,10 +50,6 @@ const PER_TASK_KEYS: Array<{ key: string; tier: ModelTier; description: string }
{ key: 'models.eval.contradictions_judge', tier: 'utility', description: 'Contradiction probe judge (v0.34 temporal-aware)' },
{ key: 'models.expansion', tier: 'utility', description: 'Query expansion for hybrid search' },
{ key: 'models.chat', tier: 'reasoning', description: 'Default `gateway.chat()` model' },
{ key: 'models.propose_takes', tier: 'reasoning', description: 'propose_takes claim extractor' },
{ key: 'models.grade_takes', tier: 'reasoning', description: 'grade_takes verdict judge' },
{ key: 'models.calibration_profile', tier: 'reasoning', description: 'Calibration profile generator' },
{ key: 'models.brainstorm', tier: 'reasoning', description: '`gbrain brainstorm` orchestrator' },
];
interface ModelEntry {
+2 -2
View File
@@ -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
-3
View File
@@ -61,10 +61,7 @@ export const MAX_OUTPUT_TOKENS_CEIL = 32_000;
* (with a readable error) instead of the provider's opaque HTTP 400.
*/
export const ANTHROPIC_OUTPUT_CAPS: Record<string, number> = {
'claude-fable-5': 64_000,
'claude-opus-4-8': 32_000,
'claude-opus-4-7': 32_000,
'claude-sonnet-5': 64_000,
'claude-sonnet-4-6': 64_000,
'claude-haiku-4-5': 64_000,
'claude-haiku-4-5-20251001': 64_000,
+1 -9
View File
@@ -32,7 +32,6 @@
*/
import type { BrainEngine } from '../engine.ts';
import { resolveModel } from '../model-config.ts';
import { chat as defaultChat, embedQuery, type ChatResult, type ChatOpts } from '../ai/gateway.ts';
import { hybridSearch, hybridSearchCached } from '../search/hybrid.ts';
import { fetchFar, type CloseRef, type FarPage } from './domain-bank.ts';
@@ -539,14 +538,7 @@ async function _runBrainstormInner(
const embedFn = opts.embedQueryFn ?? embedQuery;
// ---- Phase 0: cost preview + TTY grace ----
// Tier-resolved (mirrors the cycle phases): honors models.brainstorm >
// models.default > models.tier.reasoning; the fallback keeps stock
// behavior identical (reasoning tier default IS claude-sonnet-4-6).
const modelStr = opts.modelOverride ?? await resolveModel(engine, {
configKey: 'models.brainstorm',
tier: 'reasoning',
fallback: 'anthropic:claude-sonnet-4-6',
});
const modelStr = opts.modelOverride ?? 'anthropic:claude-sonnet-4-6';
const { aborted, estimate } = await previewCostAndWait({
profile,
model: modelStr,
+3 -13
View File
@@ -26,8 +26,8 @@
*/
import { BaseCyclePhase, type ScopedReadOpts, type BasePhaseOpts } from './base-phase.ts';
import { chat as gatewayChat, getChatModel } from '../ai/gateway.ts';
import { resolveModel } from '../model-config.ts';
import { chat as gatewayChat } from '../ai/gateway.ts';
import { TIER_DEFAULTS } from '../model-config.ts';
import { gateVoice, type VoiceGateGenerator, type VoiceGateJudge } from '../calibration/voice-gate.ts';
import { patternStatementTemplate, type PatternStatementSlots } from '../calibration/templates.ts';
// v0.41 T10 — domain widening. The aggregator module resolves the active
@@ -229,16 +229,7 @@ class CalibrationProfilePhase extends BaseCyclePhase {
): Promise<{ summary: string; details: Record<string, unknown>; status?: PhaseStatus }> {
const holder = opts.holder ?? 'garry';
const promptVersion = opts.promptVersion ?? CALIBRATION_PROFILE_PROMPT_VERSION;
// Resolved once (see propose-takes.ts for the chain): models.calibration_profile
// > models.default > env > the gateway's chat model (itself resolved
// through models.chat + the reasoning tier). Provider-prefixed per #2451
// — a bare id would make gateway.chat() throw "missing a provider
// prefix". Drives the generator's chat call, the budget label, and the
// persisted model_id, so the three can never disagree.
const modelId = opts.model ?? await resolveModel(engine, {
configKey: 'models.calibration_profile',
fallback: getChatModel(),
});
const modelId = opts.model ?? TIER_DEFAULTS.reasoning;
const gradeCompletion = opts.gradeCompletion ?? 1.0;
const patternsGenerator = opts.patternsGenerator ?? defaultPatternsGenerator;
const biasTagsGenerator = opts.biasTagsGenerator ?? defaultBiasTagsGenerator;
@@ -274,7 +265,6 @@ class CalibrationProfilePhase extends BaseCyclePhase {
scorecard,
holder,
attempt,
modelHint: modelId,
...(feedback !== undefined ? { feedback } : {}),
});
return lines.join('\n');
+3 -22
View File
@@ -36,9 +36,7 @@
import { createHash } from 'node:crypto';
import { BaseCyclePhase, type ScopedReadOpts, type BasePhaseOpts } from './base-phase.ts';
import { chat as gatewayChat, getChatModel } from '../ai/gateway.ts';
import { resolveModel } from '../model-config.ts';
import { splitProviderModelId } from '../model-id.ts';
import { chat as gatewayChat } from '../ai/gateway.ts';
import { GBrainError } from '../types.ts';
import type { OperationContext } from '../operations.ts';
import type { BrainEngine, Take, TakeResolution } from '../engine.ts';
@@ -397,24 +395,7 @@ class GradeTakesPhase extends BaseCyclePhase {
const autoResolve = opts.autoResolve ?? false; // D17 default OFF
const autoResolveThreshold = opts.autoResolveThreshold ?? 0.95; // D12 conservative
const resolvedByLabel = opts.resolvedByLabel ?? 'gbrain:grade_takes';
// Resolve the judge model ONCE (see propose-takes.ts for the chain —
// same label-vs-actual split fixed here: the judge call rode the
// gateway's chat_model while the grade cache key, evidence signature,
// and budget label recorded a hardcoded 4.6).
// NOTE: changing the resolved judge model invalidates the grade cache
// (judge_model_id is part of its key) — a one-time, budget-capped
// re-grade wave that is CORRECT, since the actual judge did change.
const judgeModelFull = opts.model ?? await resolveModel(engine, {
configKey: 'models.grade_takes',
fallback: getChatModel(),
});
// Bare tail for cache keys / evidence signatures / stored ids — the
// grade cache has always been keyed on bare ids; the gateway default
// resolves provider-prefixed, and normalizing preserves cache continuity
// on stock installs (no spurious re-judge wave from a prefix change). A
// genuinely different configured judge still invalidates, which is
// correct. The FULL string drives the actual judge call.
const judgeModelId = splitProviderModelId(judgeModelFull).model || judgeModelFull;
const judgeModelId = opts.model ?? 'claude-sonnet-4-6';
const useEnsemble = opts.useEnsemble ?? false;
const ensembleThreshold = opts.ensembleThreshold ?? 0.85;
@@ -487,7 +468,7 @@ class GradeTakesPhase extends BaseCyclePhase {
// Call the single-model judge. Errors on a single take log warning + continue.
let verdict: JudgeVerdict;
try {
verdict = await judge({ take, evidence, modelHint: judgeModelFull });
verdict = await judge({ take, evidence, modelHint: opts.model });
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
result.warnings.push(`judge failed on take ${take.id}: ${msg}`);
+16 -58
View File
@@ -5,16 +5,11 @@
* a tuned LLM extractor, writes the extracted gradeable claims to the
* `take_proposals` queue. User accepts/rejects via `gbrain takes propose`.
*
* Idempotency contract (D17 schema spec; per-claim rows since migration v125):
* Every scan of a (source_id, page_slug, content_hash, prompt_version)
* tuple leaves at least one row — one per extracted claim, or a single
* status='empty' sentinel when extraction yields nothing — so an unchanged
* page never re-spends LLM tokens. Pre-v125 only proposal rows were
* written: a zero-claim page never entered the cache and was re-extracted
* on EVERY cycle (observed live: ~60 such pages × every cycle ≈ 1,400
* wasted extractor calls / ~$15 per day — ~90% of total autopilot spend).
* Bumping PROPOSE_TAKES_PROMPT_VERSION cleanly invalidates the cache so a
* tuned prompt re-runs proposals on every page.
* Idempotency contract (D17 schema spec):
* The unique index on (source_id, page_slug, content_hash, prompt_version)
* means an unchanged page never re-spends LLM tokens. Bumping
* PROPOSE_TAKES_PROMPT_VERSION cleanly invalidates the cache so a tuned
* prompt re-runs proposals on every page.
*
* F2 fence dedup:
* The phase reads the page's existing `<!-- gbrain:takes:begin -->` fence
@@ -45,7 +40,6 @@
import { randomUUID, createHash } from 'node:crypto';
import { BaseCyclePhase, type ScopedReadOpts, type BasePhaseOpts } from './base-phase.ts';
import { chat as gatewayChat, getChatModel } from '../ai/gateway.ts';
import { resolveModel } from '../model-config.ts';
import { writeReceipt } from '../extract/receipt-writer.ts';
import { upsertExtractRollup } from '../extract/rollup-writer.ts';
import { GBrainError } from '../types.ts';
@@ -313,18 +307,6 @@ class ProposeTakesPhase extends BaseCyclePhase {
const promptVersion = opts.promptVersion ?? PROPOSE_TAKES_PROMPT_VERSION;
const pageLimit = opts.pageLimit ?? 100;
const skipPagesWithFence = opts.skipPagesWithFence ?? false;
// Resolve the extractor model ONCE: models.propose_takes >
// models.default > GBRAIN_MODEL env > the gateway's chat model (which
// reconfigureGatewayWithEngine already resolved through models.chat +
// the reasoning tier). One resolved provider-prefixed string drives the
// actual chat call, the budget estimate, AND the stored model_id — so
// the recorded model can never disagree with the model that ran (#2451
// convention: stored ids are provider-prefixed, nested prefixes like
// openrouter:anthropic/... stay intact).
const extractorModelId = opts.model ?? await resolveModel(engine, {
configKey: 'models.propose_takes',
fallback: getChatModel(),
});
const proposalRunId = `propose-${new Date().toISOString().slice(0, 19).replace(/[-:T]/g, '')}-${randomUUID().slice(0, 8)}`;
const result: ProposeTakesResult = {
@@ -348,6 +330,8 @@ class ProposeTakesPhase extends BaseCyclePhase {
opts.reporter.start('propose_takes.pages' as never, pages.length);
}
const modelId = opts.model ?? getChatModel();
for (const page of pages) {
result.pages_scanned += 1;
this.tick(opts);
@@ -377,7 +361,7 @@ class ProposeTakesPhase extends BaseCyclePhase {
// Budget pre-check before the LLM call. Estimate: ~1500 input tokens + 500 output.
const budget = this.checkBudget({
modelId: extractorModelId,
modelId,
estimatedInputTokens: 1500,
maxOutputTokens: 500,
});
@@ -396,7 +380,7 @@ class ProposeTakesPhase extends BaseCyclePhase {
pagePath: page.slug,
pageBody: body,
existingTakes,
modelHint: extractorModelId,
modelHint: opts.model,
});
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
@@ -404,42 +388,16 @@ class ProposeTakesPhase extends BaseCyclePhase {
continue;
}
// Zero-claim scans MUST still enter the idempotency cache. Pre-v125
// only proposal rows were written, so a page whose extraction yielded
// no gradeable claims never got a row for its (page, content_hash) —
// the cache check above missed on every subsequent cycle and the LLM
// call was re-spent on the same unchanged page, forever. The sentinel
// row (status='empty', empty claim_text) is invisible to the review
// queue (pending_idx is partial on status='pending'); it exists only
// so the cache check hits.
if (proposals.length === 0) {
await engine.executeRaw(
`INSERT INTO take_proposals
(source_id, page_slug, content_hash, prompt_version, proposal_run_id,
status, claim_text, kind, holder, weight, domain, dedup_against_fence_rows, model_id)
VALUES ($1, $2, $3, $4, $5, 'empty', '', 'none', 'brain', 0, NULL, NULL, $6)
ON CONFLICT (source_id, page_slug, content_hash, prompt_version, md5(claim_text)) DO NOTHING`,
[sourceId, page.slug, ch, promptVersion, proposalRunId, extractorModelId],
);
continue;
}
// Write proposals to take_proposals, one row per claim. The v125
// idempotency index includes md5(claim_text), so a same-page
// multi-claim run keeps EVERY claim — the pre-v125 four-column unique
// index made claims 2..N conflict with claim 1 and ON CONFLICT DO
// NOTHING silently dropped them (the review queue only ever saw the
// first claim of each page version). RETURNING id keeps
// proposals_inserted honest: it counts rows that actually landed,
// not insert attempts.
// Write proposals to take_proposals. Each row is a separate INSERT
// because the composite idempotency key is on the per-page tuple — a
// bulk UPSERT would collapse a same-page-multi-claim run into one row.
for (const p of proposals) {
const landed = await engine.executeRaw<{ id: number }>(
await engine.executeRaw(
`INSERT INTO take_proposals
(source_id, page_slug, content_hash, prompt_version, proposal_run_id,
claim_text, kind, holder, weight, domain, dedup_against_fence_rows, model_id)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12)
ON CONFLICT (source_id, page_slug, content_hash, prompt_version, md5(claim_text)) DO NOTHING
RETURNING id`,
ON CONFLICT (source_id, page_slug, content_hash, prompt_version) DO NOTHING`,
[
sourceId,
page.slug,
@@ -452,10 +410,10 @@ class ProposeTakesPhase extends BaseCyclePhase {
p.weight,
p.domain ?? null,
JSON.stringify(existingTakes),
extractorModelId,
modelId,
],
);
if (landed.length > 0) result.proposals_inserted += 1;
result.proposals_inserted += 1;
}
}
-3
View File
@@ -58,11 +58,8 @@ const SUMMARY_SLUG_RE = /^[a-z0-9][a-z0-9\-]*(\/[a-z0-9][a-z0-9\-]*)*$/;
* resolver returns for known Anthropic aliases.
*/
const MODEL_CONTEXT_TOKENS: Record<string, number> = {
'claude-fable-5': 1_000_000,
'claude-opus-4-8': 1_000_000,
'claude-opus-4-7': 1_000_000,
'claude-opus-4-6': 1_000_000,
'claude-sonnet-5': 1_000_000,
'claude-sonnet-4-6': 200_000,
'claude-sonnet-4-5': 200_000,
'claude-haiku-4-5-20251001': 200_000,
-35
View File
@@ -5671,41 +5671,6 @@ export const MIGRATIONS: Migration[] = [
`);
},
},
{
version: 125,
name: 'take_proposals_empty_scan_sentinels_and_per_claim_rows',
// v0.42.x — kill the propose_takes rescan loop + stop dropping claims.
//
// Two defects, one schema touch:
// 1. Zero-claim scans never entered the idempotency cache (only
// proposal rows were written), so pages whose extraction yielded
// nothing were re-extracted on EVERY cycle. Observed live: ~60
// such pages per run ≈ 1,400 wasted extractor calls / ~$15 per
// day — ~90% of total autopilot LLM spend. Fix: the phase now
// writes a status='empty' sentinel row per zero-claim scan; the
// status CHECK gains the 'empty' value. Sentinels are excluded
// from the partial pending index, so the review queue never sees
// them.
// 2. The 4-column unique index collapsed a same-page multi-claim run
// to its FIRST claim: rows 2..N conflicted and ON CONFLICT DO
// NOTHING silently dropped them (verified live: exactly one row
// per (page, hash) across 3 days of runs). Fix: the idempotency
// index gains md5(claim_text) — per-claim rows, while the
// 4-column prefix still serves the per-scan cache lookup.
//
// Existing data is index-safe by construction: the old index guaranteed
// at most one row per 4-tuple, so the widened index has no duplicates
// to trip on. The DROP+ADD CONSTRAINT pair is idempotent as a unit.
idempotent: true,
sql: `
ALTER TABLE take_proposals DROP CONSTRAINT IF EXISTS take_proposals_status_check;
ALTER TABLE take_proposals ADD CONSTRAINT take_proposals_status_check
CHECK (status IN ('pending','accepted','rejected','superseded','empty'));
DROP INDEX IF EXISTS take_proposals_idempotency_idx;
CREATE UNIQUE INDEX IF NOT EXISTS take_proposals_idempotency_idx
ON take_proposals (source_id, page_slug, content_hash, prompt_version, md5(claim_text));
`,
},
];
export const LATEST_VERSION = MIGRATIONS.length > 0
+2 -2
View File
@@ -762,7 +762,7 @@ CREATE TABLE IF NOT EXISTS take_proposals (
proposed_at TIMESTAMPTZ NOT NULL DEFAULT now(),
proposal_run_id TEXT NOT NULL,
status TEXT NOT NULL DEFAULT 'pending'
CHECK (status IN ('pending','accepted','rejected','superseded','empty')),
CHECK (status IN ('pending','accepted','rejected','superseded')),
claim_text TEXT NOT NULL,
kind TEXT NOT NULL,
holder TEXT NOT NULL,
@@ -777,7 +777,7 @@ CREATE TABLE IF NOT EXISTS take_proposals (
predicted_brier_bucket_n INTEGER
);
CREATE UNIQUE INDEX IF NOT EXISTS take_proposals_idempotency_idx
ON take_proposals (source_id, page_slug, content_hash, prompt_version, md5(claim_text));
ON take_proposals (source_id, page_slug, content_hash, prompt_version);
CREATE INDEX IF NOT EXISTS take_proposals_pending_idx
ON take_proposals (source_id, status, proposed_at DESC)
WHERE status = 'pending';
+4 -10
View File
@@ -1274,14 +1274,8 @@ CREATE INDEX IF NOT EXISTS calibration_profiles_published_idx
WHERE published = true;
-- take_proposals: propose_takes phase queue. Idempotency cache via the
-- composite unique index (source_id, page_slug, content_hash, prompt_version,
-- md5(claim_text)) — the 4-column prefix is the per-scan cache key (mirrors
-- v0.23 dream_verdicts); md5(claim_text) makes rows per-claim so multi-claim
-- pages keep every claim (v125). status='empty' rows are zero-claim scan
-- sentinels: they hold the cache slot for a page version whose extraction
-- yielded nothing — the phase never re-spends the LLM call on that page
-- version. Excluded from the partial pending index. proposal_run_id supports
-- --rollback by run.
-- composite unique index (source_id, page_slug, content_hash, prompt_version)
-- mirrors v0.23 dream_verdicts. proposal_run_id supports --rollback by run.
CREATE TABLE IF NOT EXISTS take_proposals (
id BIGSERIAL PRIMARY KEY,
source_id TEXT NOT NULL REFERENCES sources(id) ON DELETE CASCADE,
@@ -1292,7 +1286,7 @@ CREATE TABLE IF NOT EXISTS take_proposals (
proposed_at TIMESTAMPTZ NOT NULL DEFAULT now(),
proposal_run_id TEXT NOT NULL,
status TEXT NOT NULL DEFAULT 'pending'
CHECK (status IN ('pending','accepted','rejected','superseded','empty')),
CHECK (status IN ('pending','accepted','rejected','superseded')),
claim_text TEXT NOT NULL,
kind TEXT NOT NULL,
holder TEXT NOT NULL,
@@ -1307,7 +1301,7 @@ CREATE TABLE IF NOT EXISTS take_proposals (
predicted_brier_bucket_n INTEGER
);
CREATE UNIQUE INDEX IF NOT EXISTS take_proposals_idempotency_idx
ON take_proposals (source_id, page_slug, content_hash, prompt_version, md5(claim_text));
ON take_proposals (source_id, page_slug, content_hash, prompt_version);
CREATE INDEX IF NOT EXISTS take_proposals_pending_idx
ON take_proposals (source_id, status, proposed_at DESC)
WHERE status = 'pending';
+4 -10
View File
@@ -1270,14 +1270,8 @@ CREATE INDEX IF NOT EXISTS calibration_profiles_published_idx
WHERE published = true;
-- take_proposals: propose_takes phase queue. Idempotency cache via the
-- composite unique index (source_id, page_slug, content_hash, prompt_version,
-- md5(claim_text)) — the 4-column prefix is the per-scan cache key (mirrors
-- v0.23 dream_verdicts); md5(claim_text) makes rows per-claim so multi-claim
-- pages keep every claim (v125). status='empty' rows are zero-claim scan
-- sentinels: they hold the cache slot for a page version whose extraction
-- yielded nothing — the phase never re-spends the LLM call on that page
-- version. Excluded from the partial pending index. proposal_run_id supports
-- --rollback by run.
-- composite unique index (source_id, page_slug, content_hash, prompt_version)
-- mirrors v0.23 dream_verdicts. proposal_run_id supports --rollback by run.
CREATE TABLE IF NOT EXISTS take_proposals (
id BIGSERIAL PRIMARY KEY,
source_id TEXT NOT NULL REFERENCES sources(id) ON DELETE CASCADE,
@@ -1288,7 +1282,7 @@ CREATE TABLE IF NOT EXISTS take_proposals (
proposed_at TIMESTAMPTZ NOT NULL DEFAULT now(),
proposal_run_id TEXT NOT NULL,
status TEXT NOT NULL DEFAULT 'pending'
CHECK (status IN ('pending','accepted','rejected','superseded','empty')),
CHECK (status IN ('pending','accepted','rejected','superseded')),
claim_text TEXT NOT NULL,
kind TEXT NOT NULL,
holder TEXT NOT NULL,
@@ -1303,7 +1297,7 @@ CREATE TABLE IF NOT EXISTS take_proposals (
predicted_brier_bucket_n INTEGER
);
CREATE UNIQUE INDEX IF NOT EXISTS take_proposals_idempotency_idx
ON take_proposals (source_id, page_slug, content_hash, prompt_version, md5(claim_text));
ON take_proposals (source_id, page_slug, content_hash, prompt_version);
CREATE INDEX IF NOT EXISTS take_proposals_pending_idx
ON take_proposals (source_id, status, proposed_at DESC)
WHERE status = 'pending';
+1
View File
@@ -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' },
-1
View File
@@ -38,7 +38,6 @@ function buildMockEngine(opts: { scorecard: TakesScorecard }): {
} {
const captured: CapturedSql[] = [];
const engine = {
async getConfig() { return null; },
kind: 'pglite',
async getScorecard() {
return opts.scorecard;
+2 -20
View File
@@ -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();
});
+57
View File
@@ -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 });
}
});
});
-1
View File
@@ -47,7 +47,6 @@ function buildMockEngine(opts: { takes: Take[] }): {
const captured: CapturedSql[] = [];
const resolves: CapturedResolve[] = [];
const engine = {
async getConfig() { return null; },
kind: 'pglite',
async listTakes() {
return opts.takes;
-24
View File
@@ -46,14 +46,12 @@ interface CapturedResolve {
function buildMockEngine(opts: {
takes: Take[];
cachedGrades?: Set<string>; // composite-key strings already in take_grade_cache
config?: Record<string, string>; // engine.getConfig plane (models.grade_takes etc.)
}): { engine: BrainEngine; captured: CapturedSql[]; resolves: CapturedResolve[] } {
const captured: CapturedSql[] = [];
const resolves: CapturedResolve[] = [];
const cached = opts.cachedGrades ?? new Set<string>();
const engine = {
async getConfig(key: string) { return opts.config?.[key] ?? null; },
kind: 'pglite',
async listTakes() {
return opts.takes;
@@ -226,28 +224,6 @@ describe('runPhaseGradeTakes — phase integration', () => {
expect(resolves).toHaveLength(0); // no canonical mutation
});
test('models.grade_takes config drives the judge call; cache key stays bare-tailed', async () => {
// Pre-fix the judge call rode the gateway's chat_model while the cache
// key / budget label recorded a hardcoded 'claude-sonnet-4-6'. The phase
// now resolves models.grade_takes; the judge gets the FULL string and
// the cache row keys on the bare tail (continuity with historical rows).
const takes = [buildTake({ id: 1, sinceDate: '2023-01-01' })];
const { engine, captured } = buildMockEngine({
takes,
config: { 'models.grade_takes': 'anthropic:claude-sonnet-5' },
});
const hints: Array<string | undefined> = [];
const judge: JudgeFn = async ({ modelHint }) => {
hints.push(modelHint);
return { verdict: 'correct', confidence: 0.9, reasoning: 'held' };
};
const result = await runPhaseGradeTakes(buildCtx(engine), { judge });
expect(result.status).toBe('ok');
expect(hints).toEqual(['anthropic:claude-sonnet-5']); // actual call gets the FULL string
const inserts = captured.filter(c => c.sql.includes('INSERT INTO take_grade_cache'));
expect(inserts[0]!.params[2]).toBe('claude-sonnet-5'); // judge_model_id is the bare tail
});
test('D17: auto-resolve OFF by default — even high-confidence verdict does NOT mutate takes', async () => {
const takes = [buildTake({ id: 1, sinceDate: '2023-01-01' })];
const { engine, resolves } = buildMockEngine({ takes });
-160
View File
@@ -1,160 +0,0 @@
/**
* propose_takes rescan-loop + dropped-claims regression tests (migration v125).
*
* Two live-observed defects, both fixed by the v125 schema + phase change:
*
* 1. RESCAN LOOP — a page whose extraction yielded zero claims never
* entered the idempotency cache (only proposal rows were written), so
* every cycle re-spent the extractor call on the same unchanged page.
* Live impact: ~60 such pages × every cycle ≈ 1,400 wasted LLM calls
* (~$15) per day — ~90% of total autopilot spend. Fix: status='empty'
* sentinel row per zero-claim scan.
*
* 2. DROPPED CLAIMS — the 4-column unique index collapsed a same-page
* multi-claim run to its first claim (rows 2..N conflicted, ON CONFLICT
* DO NOTHING dropped them silently; verified live: exactly 1 row per
* (page, hash) over 3 days). Fix: idempotency index gains
* md5(claim_text).
*
* Hermetic: PGLite engine + injected extractor; no gateway, no LLM.
*/
import { describe, test, expect, beforeAll, afterAll } from 'bun:test';
import { PGLiteEngine } from '../src/core/pglite-engine.ts';
import { runPhaseProposeTakes, type ProposeTakesExtractor, type ProposedTake } from '../src/core/cycle/propose-takes.ts';
import type { OperationContext } from '../src/core/operations.ts';
let engine: PGLiteEngine;
function ctx(): OperationContext {
return {
engine,
remote: false,
config: {} as OperationContext['config'],
logger: { info() {}, warn() {}, error() {}, debug() {} } as unknown as OperationContext['logger'],
} as unknown as OperationContext;
}
/** Extractor stub that counts invocations per page slug. */
function countingExtractor(
claimsBySlug: Record<string, ProposedTake[]>,
): { extractor: ProposeTakesExtractor; calls: string[] } {
const calls: string[] = [];
const extractor: ProposeTakesExtractor = async ({ pagePath }) => {
calls.push(pagePath);
return claimsBySlug[pagePath] ?? [];
};
return { extractor, calls };
}
beforeAll(async () => {
engine = new PGLiteEngine();
await engine.connect({});
await engine.initSchema();
await engine.putPage('notes/zero-claims', {
type: 'note',
title: 'pure narrative',
compiled_truth: 'A quiet walk in the park. Nothing opinionated happened at all today.',
});
await engine.putPage('notes/three-claims', {
type: 'note',
title: 'opinionated',
compiled_truth: 'I bet acme-example wins the market. widget-co will struggle. fund-a is overexposed.',
});
});
afterAll(async () => {
await engine.disconnect();
});
describe('rescan loop — zero-claim scans enter the cache', () => {
test('second run cache-hits: extractor is NOT called again on unchanged pages', async () => {
const claims = {
'notes/three-claims': [
{ claim_text: 'acme-example wins the market', kind: 'bet' as const, holder: 'brain', weight: 0.7 },
{ claim_text: 'widget-co will struggle', kind: 'take' as const, holder: 'brain', weight: 0.6 },
{ claim_text: 'fund-a is overexposed', kind: 'take' as const, holder: 'brain', weight: 0.55 },
],
};
const first = countingExtractor(claims);
const r1 = await runPhaseProposeTakes(ctx(), { extractor: first.extractor });
expect(r1.status).toBe('ok');
// Both pages extracted on the first pass.
expect(first.calls).toContain('notes/zero-claims');
expect(first.calls).toContain('notes/three-claims');
const second = countingExtractor(claims);
const r2 = await runPhaseProposeTakes(ctx(), { extractor: second.extractor });
expect(r2.status).toBe('ok');
// THE regression: pre-fix the zero-claim page missed the cache every
// run and was re-extracted here. (Run 1's receipt page legitimately
// appears once — it's a new page — and its zero-claim scan now caches
// too; pre-fix, receipts re-scanned forever as well.)
expect(second.calls).not.toContain('notes/zero-claims');
expect(second.calls).not.toContain('notes/three-claims');
// Run 2 inserted nothing, so no new receipt page exists: run 3 must be
// fully quiescent — zero extractor calls, zero cache misses.
const third = countingExtractor(claims);
const r3 = await runPhaseProposeTakes(ctx(), { extractor: third.extractor });
expect(r3.status).toBe('ok');
expect(third.calls).toEqual([]);
expect((r3.details as Record<string, unknown>).cache_misses).toBe(0);
});
test('zero-claim scan wrote an "empty" sentinel invisible to the pending queue', async () => {
const sentinel = await engine.executeRaw<{ status: string; claim_text: string }>(
`SELECT status, claim_text FROM take_proposals WHERE page_slug = 'notes/zero-claims'`,
[],
);
expect(sentinel.length).toBe(1);
expect(sentinel[0].status).toBe('empty');
expect(sentinel[0].claim_text).toBe('');
const pending = await engine.executeRaw<{ n: number }>(
`SELECT COUNT(*)::int AS n FROM take_proposals WHERE page_slug = 'notes/zero-claims' AND status = 'pending'`,
[],
);
expect(Number(pending[0].n)).toBe(0);
});
});
describe('dropped claims — per-claim rows survive the idempotency index', () => {
test('a 3-claim page stores 3 rows and reports an honest inserted count', async () => {
const rows = await engine.executeRaw<{ claim_text: string }>(
`SELECT claim_text FROM take_proposals WHERE page_slug = 'notes/three-claims' AND status = 'pending' ORDER BY id`,
[],
);
// Pre-fix the 4-column unique index kept only the FIRST claim.
expect(rows.length).toBe(3);
expect(rows.map(r => r.claim_text)).toEqual([
'acme-example wins the market',
'widget-co will struggle',
'fund-a is overexposed',
]);
});
test('content change re-extracts and stores the new version separately', async () => {
await engine.putPage('notes/zero-claims', {
type: 'note',
title: 'pure narrative',
compiled_truth: 'Updated: I now believe acme-example is undervalued and will re-rate within a year.',
});
const claims = {
'notes/zero-claims': [
{ claim_text: 'acme-example is undervalued', kind: 'take' as const, holder: 'brain', weight: 0.6 },
],
};
const run = countingExtractor(claims);
const r = await runPhaseProposeTakes(ctx(), { extractor: run.extractor });
expect(r.status).toBe('ok');
// Changed page re-extracts; the unchanged 3-claim page stays cached.
expect(run.calls).toEqual(['notes/zero-claims']);
expect((r.details as Record<string, unknown>).proposals_inserted).toBe(1);
const all = await engine.executeRaw<{ status: string }>(
`SELECT status FROM take_proposals WHERE page_slug = 'notes/zero-claims' ORDER BY id`,
[],
);
// Old hash's sentinel + new hash's pending claim coexist.
expect(all.map(r2 => r2.status).sort()).toEqual(['empty', 'pending']);
});
});
+1 -33
View File
@@ -41,16 +41,12 @@ interface CapturedSql {
function buildMockEngine(opts: {
pages: Page[];
existingProposals?: Set<string>; // composite-key strings already in take_proposals
config?: Record<string, string>; // engine.getConfig plane (models.tier.* etc.)
}): { engine: BrainEngine; captured: CapturedSql[] } {
const captured: CapturedSql[] = [];
const existing = opts.existingProposals ?? new Set<string>();
const engine = {
kind: 'pglite',
async getConfig(key: string) {
return opts.config?.[key] ?? null;
},
async listPages() {
return opts.pages;
},
@@ -63,12 +59,7 @@ function buildMockEngine(opts: {
if (existing.has(key)) return [{ id: 1 } as unknown as T];
return [];
}
// INSERT ... RETURNING id — emulate a successful insert so the
// honest proposals_inserted counter (counts RETURNING rows, not
// attempts) sees the row land. Conflicted inserts would return [].
if (sql.includes('INSERT INTO take_proposals') && sql.includes('RETURNING id')) {
return [{ id: 1 } as unknown as T];
}
// INSERT — return nothing
return [];
},
} as unknown as BrainEngine;
@@ -276,29 +267,6 @@ describe('runPhaseProposeTakes — phase integration', () => {
expect(inserts[0]!.params[9]).toBe('market'); // domain
});
test('extractor model resolves through models.propose_takes config', async () => {
// Pre-fix the phase's only model knob was the gateway chat model — there
// was no per-phase config key. The phase now resolves once via
// resolveModel(models.propose_takes > models.default > env > gateway
// chat model); the extractor hint and the stored model_id must both
// reflect the configured override (full provider-prefixed string, #2451).
const pages = [buildPage({ slug: 'wiki/concepts/tier-routing', body: 'Tier-routed models will win.' })];
const { engine, captured } = buildMockEngine({
pages,
config: { 'models.propose_takes': 'anthropic:claude-sonnet-5' },
});
const seen: Array<string | undefined> = [];
const extractor: ProposeTakesExtractor = async ({ modelHint }) => {
seen.push(modelHint);
return [{ claim_text: 'tier-routed models win', kind: 'bet', holder: 'brain', weight: 0.7 }];
};
const result = await runPhaseProposeTakes(buildCtx(engine), { extractor });
expect(result.status).toBe('ok');
expect(seen).toEqual(['anthropic:claude-sonnet-5']); // chat call gets the FULL string
const inserts = captured.filter(c => c.sql.includes('INSERT INTO take_proposals'));
expect(inserts[0]!.params[11]).toBe('anthropic:claude-sonnet-5'); // stored model_id matches the call
});
test('cache hit: page already in take_proposals is skipped', async () => {
const body = 'A page that was already processed.';
const pages = [buildPage({ slug: 'wiki/old-page', body })];