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5 commits

Author SHA1 Message Date
Kayshen-X 4e92f0c250 Merge origin/v0.8.0 into feat/rust-ification 2026-05-03 21:00:00 +08:00
MseeP.ai 112921c9ea Add MseeP.ai badge to README.md (#124) 2026-04-29 09:50:57 +08:00
Kayshen-X b554b4f1a6 Merge branch 'main' of github.com:ZSeven-W/openpencil into v0.8.0 2026-04-26 19:39:14 +08:00
Fini abbccc1ba2 fix(ai): refresh DeepSeek defaults to v4 model series
`/models` now returns only deepseek-v4-pro and deepseek-v4-flash;
deepseek-chat / deepseek-reasoner sunset 2026-07-24 and the
deepseek-v3.2 hard-coded in the ark-coding fallback list never
existed. Both v4 models default to thinking enabled and the API
toggles via `{"thinking":{"type":"disabled"}}` — keep
`thinkingMode: 'disabled'` so the app's fast/non-thinking default
stays intact (server reasoning paths honor it; the Zig openai-compat
path doesn't emit the toggle yet, so calls through that path still
get provider-default thinking until it's wired). v4-pro promoted to
full tier; legacy aliases pinned to an exact RegExp so future
deepseek-* variants don't inherit a forced disabled mode.

Bandaid for the unwired toggle: v4-pro gets `timeoutMultiplier: 2`
because its default-on reasoning blows past the orchestrator's
planning timeout on long system prompts (observed in dev: planning
phase falls back, sub-agent then succeeds — UX degraded but
functional). Drop the multiplier once the Zig path actually sends
`thinking:{type:disabled}`.

Don't add a BUILTIN_MODEL_LISTS.deepseek entry — DeepSeek exposes
/v1/models, so let `fetchProviderModels` pull the live catalog
through `/api/ai/provider-models` instead of pinning a snapshot
(the ark-coding `deepseek-v3.2` ghost above shows what those
snapshots drift into).
2026-04-26 06:30:00 +08:00
Fini 51878c3894 feat(scripts): ab-corpus harness with multi-provider model adapters
Harness at scripts/ab-corpus/ wires the pen-ai-skills corpus evaluator to
real model endpoints and pen-mcp handlers:

run.ts            — CLI entry (--dry-run / --live / --models A,B,C / --only ID)
apply.ts          — ApplyFn impl dispatching tool_call → element handler
                    and batch_design DSL → handleBatchDesign, against a
                    fresh tmp .op per run (isolated, auto-cleanup)
build-prompt.ts   — B variant strips elements.md + appends batch_design
                    <op_tool> format instruction; T keeps elements + adds
                    element-tool PRIMARY / batch_design FALLBACK
                    instruction. Uniform <op_tool> wrapper in both arms
                    isolates "tool set width" as the only A/B variable.
stub-model.ts     — fixture-based offline model for --dry-run
real-model.ts     — router by model id (minimax* / gpt-*/o* / glm-5.1 /
                    glm-* / kimi-*)
clients/
  openai-compat.ts — generic chat/completions POST
  minimax.ts       — api.minimax.io/v1, MINIMAX_API_KEY
  codex-cli.ts     — spawns `codex exec` (GPT-5.4 via Codex Pro sub)
  bailian.ts       — coding.dashscope.aliyuncs.com/v1 CP,
                     DASHSCOPE_BAILIAN_CODING_KEY (hosts glm-4.7, kimi-k2.5)
  glm.ts           — open.bigmodel.cn/api/coding/paas/v4 official CP,
                     GLM_OFFICIAL_CODING_KEY
write-report.ts   — Report → report.md + report.json in out dir;
                    4-way routing breakdown table per model

Kept entirely outside packages/ — scripts are a local dev tool, not part
of the published SDK. API keys never hit disk or git.

v1 run results logged separately in openpencil-docs
superpowers/notes/2026-04-20-ab-v1-results.md (5 models × 24 prompts).
2026-04-20 23:53:23 +08:00