Add a feature catalog (`packages/dsh/src/features.ts`) that drives two entry
points from one declaration: a model tool per feature (natural-language
entry) and a card-click webServer route (UI entry). Each feature declares
its `bl` argv, optional parameter flags, and a `summarize` projection, so
adding a capability means adding one catalog entry rather than wiring a
tool and a route separately.
New CLI commands backing the TokenPlan usage panel:
- `bl token-plan personal-usage` — 5h/1w usage percentage, subscription
state, and addon credits, unwrapping the console gateway's nested
`data.DataV2.data.data` envelope.
- `bl token-plan personal-key` — the masked personal-edition API key.
Both are `auth: "console"` and registered per the command checklist
(library export, `bl` product map, e2e topic routes, generated reference).
Two type fixes in the tool registration path:
- The parameter map was typed `Record<string, { type: string; ... }>`,
which widens `FeatureParam["type"]` to `string` and is then unassignable
to `ParameterSchemaSpec` (it needs the literal union). Keep the literal.
- `invokeFeature` returned `Promise<unknown>`, so the tool's `{ summary,
data }` value failed `Record<string, JsonValue>`. It parses
`bl --output json` output, so its return type is `JsonValue` — narrowing
the signature is more honest than casting at the call site.
Co-Authored-By: Claude <noreply@anthropic.com>
Expose Bailian capabilities to dsh through its service seams as one
package with six subpath plugin entries and a `dsh.bundle` patch:
- TokenPlan as an LLM provider
- bailian_vision_describe / bailian_image_generate tools over `bl`
- knowledge-base retrieval as a WebSearchProvider (`bailian-kb`)
- cross-session memory: tools, pre-step recall, turn-close persist
- managed-agent as a SubagentProvider
TokenPlan configures the base bundle's existing pi-ai row rather than
mounting a second `dsh-llm-pi-ai` instance. A second instance cannot
work: pi-ai re-declares its entire built-in provider catalog to
`registerConfigurableProviders`, and that directory is global, so boot
fails with a duplicate on `amazon-bedrock`.
Routes and vision support were probed against the live gateway.
qwen3.8-max, qwen3.7-plus, qwen3.6-flash and glm-5.2 read images;
qwen3.7-max rejects them with HTTP 400; the DeepSeek routes accept image
content without erroring yet stay blind. The DeepSeek entries therefore
do not declare image input — claiming it would turn a clean refusal into
a silently wrong answer — and `bailian_vision_describe` serves them by
returning text instead.
Also fix `bl memory` against the v2 API, each verified live:
- `profile get` used /profiles, which returns HTTP 500. The documented
and working endpoint is /user_profile.
- `add` read `response.memory_ids`, which the service never returns. It
returns `memory_nodes`, so text output always printed "IDs: none".
- `MemoryNode.created_at`/`updated_at` are unix seconds, not strings, and
`UserProfileResponse.profile` did not match the wire shape.
- Add the missing request parameters: --meta-data, --project-id,
--project-ids, --min-score, --enable-rerank, --plan-version,
--enable-judge, --enable-rewrite, --timestamp.
- Add `memory profile list|detail|update|delete`, covering the four v2
profile-schema operations the CLI was missing.
`plan_version: lite` is ignored by the service and still bills pro;
`enable_rerank: false` is what actually selects lite, which is ~50x
cheaper per search. The CLI flag and the memory plugin both send the
parameter that works.
Disable pnpm's autoInstallPeers: the @deepseek-ai/dsh-* rc line peers on
three packages that were never published to npm, which 404s the whole
workspace install. Verified the existing packages still build.
Co-Authored-By: Claude <noreply@anthropic.com>
Pass through model constraint errors instead of auto-retrying, switch token-plan default text model to qwen3.7-plus, and align related e2e expectations.
Stop inferring size/prompt_extend from sync vs async; use per-family sizeProfile. wanx*-imageedit uses function+base_image_url; bare qwen-image uses the fixed resolution table.
lisheng.lisheng