dd159cc8fb5a4c72d356c3395c24636bc1538159
6
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 amosblomqvist
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9387418864 |
feat(models): clamp-on-write for pinned thinking levels + DEFAULT_THINKING_ORDER in the core barrel
Fix 1 — clamp, never reject (owner ruling, interlude 2026-09-22): a model swap with a pinned thinking level must JUST WORK. The owner hit the write-side 400 live (Claude Fable 5.1/xhigh → GLM 5.3 flash: "z-ai/glm-5.3-flash does not support thinking level xhigh"). The supported-level verdicts in validateChatSettings and validateModelsSettings are DEAD — the WRITE clamps the pin to the new model's nearest supported level (pi's clampThinkingLevel, the same translation piEngineForSpec applies at runtime) and stores the clamped result; the server is the truth — the record shows the clamped level after write. New pure helpers in model-catalog.ts, applied by ALL THREE write routes (section, defaults, per-chat — one verdict seam, so every surface that used the old 400 gets the clamp uniformly): - clampModelsLevels: every slot's level clamps against the SLOT'S OWN model (the parser already requires a model on each slot write). - clampChatLevel: the body's own model, else the record's resolved strong slot (the chain's fallback); no model anywhere → rides unchecked (runtime clamps at engine build; the turn gate refuses the model-less chat anyway). Fix 2 — DEFAULT_THINKING_ORDER moves from config.ts to core/settings (core barrel, AUTH_KEYS precedent — one source of truth, no drift). The UI imports it to auto-populate a thinking level on FRESH model picks; the ordering has no other client role. Legacy unset records keep the runtime defaultThinkingLevel fallback at engine build untouched. Import sites updated: agent/models.ts, tests. Verified live on 3004: the owner's exact case stores max (not 400); a bare chat-level write clamps to low against the strong slot's glm; unknown provider/model still 400s with the provider list. Tests: the level-verdict suites became clamp suites (the owner's case pinned verbatim: xhigh→max, minimal→low, off→low, supported pass-through, level-less slots ride); the machine-aware expectBareLevelVerdict chain is retired — clampChatLevel takes the strong slot as an explicit param, so the tests are pure again. Gates: typecheck, lint, 839/839, build. |
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amosblomqvist
|
bfa906e2f8 |
feat(models): BYOK all the way down — factory pins deleted, per-need refusal gates
Owner decision 2026-09-22: 'it doesn't make sense to have any default
model configured anywhere; the application is bring your own keys.'
config.ts: MODELS deleted; ModelRole becomes an explicit 9-role union;
DEFAULT_THINKING_ORDER (medium, low, high, minimal, xhigh, max) bakes
the unset-level default — first entry the model supports; explicitly
set levels keep pi's native nearest-clamp.
core/settings-resolution: the factory layer dissolves — the chain is
role override → slot → NOTHING. resolveSettings(record) takes no
factory. Empty chains resolve to null/undefined; a thinkingLevel-only
slot is inert (stored, never run). resolveConversationSpec: chat.model
override over the strong slot, null when both empty. resolveRoleSpec
spans all nine roles for the job/extraction engines.
Refusal envelope (core/settings.ts): modelsNotConfigured(missing) —
{error, code: 'models_not_configured', missing: [slot tiers]} +
ModelsNotConfiguredError with .envelope. Per-need gates, each honest:
- chat-handler: universal turn gate (new + continuing turns) returns
503 before beginTurn — no liveness, no write-ahead persist, no graph
trigger before the gate fires.
- runner.runJob: unresolvable engine lands the job as error with the
envelope wording; no phantom loop, no result steer.
- extraction: refuseIfStagesUnconfigured throws before any stage
(turn-service info-skips so coverage retries next turn; the import
route surfaces per-file code+missing); labeler-less runs skip
cluster naming with a console line and still merge.
Write side: slot entries must carry a model — level-only slot writes
are 400s (absent slot key = clear). piEngineForSpec resolves unset
thinking levels via DEFAULT_THINKING_ORDER; piEngineFor now throws
honestly; thinkingLevelFor/modelIdFor deleted; teacher-agent, pi-run,
visual-maker, pdf-reader all read engine.level.
model-catalog: defaults/slots/rolePins null when the chain is empty
(contracts nullable) — no phantom ids in payloads. Stores drop
MODEL_PINS entirely.
Tests: pin-leaners converted to explicit injection (per-chat model
pins on scripted chats — exactly what the setup flow writes; faux
engines for agent-construction tests). New coverage: the 503 gate
envelope, the runner refusal, the extraction refusal + labeler skip.
Gates: typecheck, lint, 815/815, build.
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amosblomqvist
|
f9e3a4c43d |
feat(models): strong/cheap/vision model slots + multi-provider engine federation
Model slots wave (2026-09-20), chunk B:
- settings: new `models` section {strong, cheap, vision} slots (each
field independent, same shape as a role override); ROLE_SLOT maps all
nine roles to tiers (strong=prober+teacher, cheap=researcher/
demoBuilder/extractor/auditor/labeler, vision=visualMaker+pdfReader);
resolution chain per role: override → slot → factory pin.
- config: ModelSpec gains provider (all pins openrouter, the BYOK
default); MODEL_PINS in stores.ts now spans all nine roles (the strong
slot's factory rep IS the prober pin).
- engine: piModels() registers EVERY builtin provider catalog;
piEngineForSpec(resolved spec) is the new engine factory (pi-ai
resolves per-provider keys from env itself); piEngineFor stays as the
config-pin fallback. chat-handler resolves the conversation chain
(chat override → strong slot → pin) and injects engineFor into the job
runner, closing the old gap where per-role overrides never reached
job engines.
- /api/models: models federate ONLY keyed providers (providers surface
with keyPresent, env-wins, fresh per call); slots (resolved tier pins)
join rolePins; catalogDefaultsFor inherits the strong slot; the models
settings section gets the same catalog gate as chat.
- pricing: PRICES/CONTEXT_LIMITS uniformly keyed provider:id
(regenerated from ALL pi-ai catalogs, 1354 keys); usage stamps
(TurnUsage, JobUsage, extraction stages) switch to provider:id —
owner decision: no legacy compat, old stamps render unpriced.
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amosblomqvist
|
de0c286311 |
feat: model + thinking control — the stats bar's picker, on pi-ai's catalog
The model-control wave (user-decided design, 2026-09-12): ONE controller
for the conversation agents (prober/teacher are functionally one agent);
background sub-agents stay config-pinned. pi-ai owns the registry — the
shipped 366-model OpenRouter catalog (cost, context, modality,
thinkingLevelMap), getSupportedThinkingLevels/clampThinkingLevel for the
per-model thinking truth, and streamSimple's automatic clamp. No second
registry to drift out of sync.
Seams:
- config.ts: ReasoningEffort retired for pi's ThinkingLevel
(off|minimal|low|medium|high|xhigh|max). GLM roles go honest at "low" —
pi's catalog says GLM-5.3-flash accepts exactly low|high|max, and the old
"minimal" was silently clamped to low by streamSimple since the swap;
nothing changes behaviorally. visualMaker → qwen/qwen3.8-flash (fixes
the dead qwen/qwen3.8-max slug — the catalog only ships -0902; also the
user's cost pick, 0.15/0.47 per-1M).
- src/agent/models.ts: piEngineFor(role, settings?) — provider+id resolved
from the catalog, thinking level from settings ?? config, CLAMPED to the
model's supported list (a settings change between models can never send
an invalid level). PiEngine gains `level` (observability/tests).
- ChatRecord.settings {model?: {provider, id}, thinkingLevel?} — written
by PUT /api/chats/[id]/settings (replace-whole, no updatedAt churn),
read by chat-handler at turn composition: agents are stateless per turn,
so the change is next-turn-effective by construction. The turns log
still records the ACTUAL billed model (the honest witness).
- GET /api/models: the configured-provider catalog as client-safe DTOs
(core/contracts/models.ts) + config defaults; a second provider joins
the picker by registering it in piModels() — nothing else changes.
- PUT settings validation gate (src/server/model-catalog.ts): unknown
provider/model or unsupported level → 400 carrying the supported list,
never a silent clamp.
- scripts/sync-pricing.ts: regenerated PRICES/CONTEXT_LIMITS from pi-ai's
shipped openrouter.json (offline; same source as the engine + picker).
All 366 models priced; glm's stale 0.15/0.5 → pi's 0.075/0.25, limit
1310720 → 1048576 — cost is inferred at read time, so history re-prices.
- UI (components/model-picker.tsx): stats-bar right side becomes model +
thinking buttons; menus open ABOVE; fuzzy search over "provider id
name" (core/fuzzy.ts — pi's /model pattern); model rows show name/id/
price/context; the thinking menu lists exactly the chosen model's
supported levels (GLM: low|high|max — no dead options, no "off").
Model switch drops an incompatible pinned level (falls back to config,
which clamps honestly) rather than carrying a 400.
Tests (350/350, +15): catalog projection + defaults, the settings gate,
pi thinking truth pinned against upgrades (glm low|high|max; minimal→low;
off→low — GLM cannot disable thinking), the engine factory's
override/fallback/clamp/throw matrix, fuzzy ranking, store round-trip,
and the re-priced folds (usage, stats bar, activity dock).
Live smoke (disposable driver, deleted): catalog route 366 + defaults;
glm+minimal → 400 + supported; turn 1 billed qwen/qwen3.8-flash under
the override; mid-session switch flipped turn 2 to glm; clear-overrides
restored the config pin. ALL CHECKS PASS on real OpenRouter.
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amosblomqvist
|
2d717fd932 |
Swap the server engine to pi-ai/pi-agent-core (Band B+C of docs/pi-engine-swap.md)
The Vercel AI SDK survives only as Band D (useChat client + UIMessage
record types); @openrouter/ai-sdk-provider is uninstalled.
- src/agent/models.ts: PiEngine {model, streamFn} via createModels +
openrouterProvider subpath; thinkingLevelFor maps config effort none->off
- src/agent/lh-tool.ts: neutral LhTool (zod authoring, optional execute,
clientQuestion flag); toPiTool converts via z.toJSONSchema and re-runs
zod inside execute so refinements ride the error-result retry path
- src/server/pi/record-adapter.ts: UIMessage records -> pi Messages
(dangling tool calls get synthesized interrupted results)
- src/server/pi/ui-stream.ts: SSE bridge emitting AI-SDK-shaped chunks so
the useChat client parses unchanged (continuation id rule, question
tools never emit output, tool-input-error for bad authoring)
- teacher-agent.ts: stateless per-turn pi Agents; shouldStopAfterTurn
stops only when every question-tool call resolved cleanly (errors retry)
- chat-handler.ts: buildAgent(outgoing) factory seam (stateless doctrine);
assertValidUiMessages owns the retired SDK validation gate
- sub-agents via shared runSubagent (pi-run.ts); extraction stages stop
after a clean submit; visual-maker keeps its hand-rolled loop over
direct streamSimple calls; aborted model calls bill no usage
- tests: all model seams ported to pi-ai faux provider (scripted
FauxResponseSteps, agent factories); handleChatRequest second param
is now an agent factory
Gates: tsc, lint, build, 305/305. Live GLM smoke (disposable driver,
deleted): prober streaming + persistence, question seam, turn-2
continuation same message id, per-turn real token usage - ALL PASS.
Data wiped at the pivot (chats/graph/jobs, .gitkeeps kept).
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Amos
|
59fc2ef863 |
Centralized model config (config.ts MODELS) + extraction seam logging
MODELS in config.ts is now THE single tuning table: model id + OpenRouter reasoning effort for teacher/researcher/demoBuilder/visualMaker/extractor/ auditor. .env.local is secrets-only (LH_* model vars removed; all sub-agents previously had NO reasoning setting -> provider-default unbounded thinking, the extraction token burn). One factory (src/agent/models.ts modelFor) wires all six call sites; test injection unchanged. EXTRACTION.everyNQuizAnswers moved to a config literal too. Plus the §5 one-line-per-seam logging in the extraction pipeline: pipeline start, extractor/auditor start + per-step, audit kept, merged — previously silent until completion, which made live runs look like they never fired. |