DeepSeek Harness plugin

dsh-weknora

Four read-only tools over a WeKnora knowledge base: list knowledge bases, hybrid passage search, reassemble one document's chunks in order, and WeKnora's own cited RAG or ReAct-agent answer with a resumable session id.

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Source facts

Repository
Tencent/WeKnora
Latest update
Aug 21, 2026
Category
Tools & Capabilities
GitHub stars
20k

Install

Start with a prompt that asks an agent to read the source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to read the page and repository first.

Do not install anything yet. Read this DeepSeek Harness plugin and explain what it does, which files, networks, or credentials it can access, and how to install and remove it.

Plugin page: https://deepseekplugins.org/plugins/Tencent/WeKnora~23dsh-weknora
GitHub: https://github.com/Tencent/WeKnora/tree/main/packages/dsh-weknora
Plugin: WeKnora#dsh-weknora
Author: Tencent
Install command: dsh plugin --profile web add @wxg-prc-cpg/dsh-weknora

Do not run the install command until I confirm.

Check the source files

Read the README and other files from this plugin directory before installing.

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README.mdSource · read only

@wxg-prc-cpg/dsh-weknora

English | [简体中文](./README_CN.md)

A DeepSeek Harness (dsh) plugin that gives the harness agent first-class access to a WeKnora knowledge base: hybrid retrieval, full document reading, and WeKnora's own composed answers with citations.

dsh ships no retrieval, embedding or knowledge-base capability of its own — its search tools (grep, glob) read the workspace, and web_search reads the internet. This plugin fills that gap with your organization's documents.

Install

# from npm (recommended: installs prebuilt code, no build permission needed)
dsh plugin --profile web add @wxg-prc-cpg/dsh-weknora

# or from a checkout of this repository
dsh plugin --profile web add ./packages/dsh-weknora

Then point it at your deployment. The shipped configuration layer reads environment variables, so the quickest start is:

export WEKNORA_BASE_URL=https://weknora.example.com   # or http://localhost:8080
export WEKNORA_API_KEY=sk-...                          # a WeKnora API key with `retrieve` (+ `chat` for ask)
export WEKNORA_KNOWLEDGE_BASE_IDS=kb-123,kb-456        # optional default scope
dsh web

For anything beyond that, override the row from your profile's cordis.patch.yml ($DSH_HOME/profiles/<name>/cordis.patch.yml):

- id: weknora
  config:
    baseUrl: https://weknora.example.com
    apiKey: !!js process.env.WEKNORA_API_KEY
    knowledgeBaseIds:
      - kb-product-docs
    agentId: ''            # a WeKnora custom agent id makes `weknora_ask` use the ReAct pipeline
    maxResults: 8
    maxChunkChars: 1200
    requestTimeoutMs: 30000
    chatTimeoutMs: 300000
    resourceUrls: handle   # `public` asks WeKnora for directly loadable file URLs in citations
    toolPrefix: weknora    # rename the tools, e.g. to mount two deployments side by side
    tools:
      listKnowledgeBases: true
      search: true
      readDocument: true
      ask: true

A patch replaces the row's whole config, so restate every field you keep. Invalid configuration fails the plugin load with a message naming each violation, rather than failing inside the first tool call.

Mounting two deployments is two rows with two prefixes:

- insert:
    - id: weknora-internal
      name: "@wxg-prc-cpg/dsh-weknora"
      config: { baseUrl: https://kb.internal.example.com, toolPrefix: internal_kb }
    - id: weknora-public
      name: "@wxg-prc-cpg/dsh-weknora"
      config: { baseUrl: https://kb.public.example.com, toolPrefix: public_kb }

Tools

ToolWeKnora endpointWhat the model gets
weknora_list_knowledge_basesGET /knowledge-basesKnowledge base names and ids, to report what exists or to narrow a later search
weknora_searchPOST /knowledge-search + GET /knowledge/searchRanked passages verbatim, each with a knowledge_id, score and chunk index, plus any document the query names
weknora_read_documentGET /chunks/:knowledge_id + GET /knowledge/:idOne document's passages reassembled in order, led by its title and summary, with paging
weknora_askPOST /sessions + POST /knowledge-chat/:id or POST /agent-chat/:idWeKnora's own answer, its citations, the server-side tools it used, and a resumable session_id

weknora_search is the workhorse: it returns the source text for the agent to reason over, which keeps the agent's own reasoning auditable. It answers two questions the model cannot always tell apart — where is this discussed and where is the document called X — by matching passage content and document names in the same call. A query that reads like a title additionally reports the documents it names, so a document whose wording differs from its own title is still reachable.

Scope works without configuration. An unscoped call is refused by the retrieval endpoint and answered from nothing by the RAG one, so when knowledgeBaseIds is empty the plugin resolves every knowledge base the credential can see and uses all of them, resolving that list once per process and sharing it between weknora_search and weknora_ask. Making the model choose first would be worse: knowledge bases are frequently named too poorly to choose between.

weknora_ask delegates the whole question to WeKnora. Reserve it for broad or synthesis questions spanning many documents, where retrieving passages yourself would take several rounds — it runs another model server-side, so it is slow, and it returns a conclusion rather than the evidence behind it. With agentId set it leaves the scope alone: a custom agent resolves its own from its KB selection mode, and ids sent from here would override that.

weknora_read_document exists because retrieval returns fragments: once a passage looks right, the agent usually needs its neighbours. Every search hit carries the knowledge_id that call needs, and page 1 leads with the document's title and WeKnora's generated summary so a long document can be judged without paging through it.

In Code Mode the same tools are available as await tools.weknora_search({ query }), which is a good fit for multi-hop retrieval: one program can fan out across ten sub-questions without ten model round trips.

Permissions and data flow

The plugin only reads. It never writes to WeKnora: no ingestion, no chunk edits, no deletion. A WeKnora API key scoped to retrieve is enough for three of the four tools; weknora_ask additionally needs chat, because it creates a session and streams an answer.

The key is sent as X-API-Key. Set tenantId as well if you use a platform-scoped key, which needs X-Tenant-ID to select a workspace. Errors are reported with the HTTP status and WeKnora's own reason, never with the key.

Passage content is clipped to maxChunkChars before it reaches the model, so one oversized document cannot eat the context window. The clip is reported to the model (truncated: true) instead of silently hiding text.

Configuration reference

FieldDefaultNotes
baseUrlhttp://localhost:8080/api/v1/api/v1 is appended when missing
apiKeyunsetX-API-Key; unset means an unauthenticated deployment
tenantIdunsetX-Tenant-ID, required for platform-scoped keys
knowledgeBaseIds[]Default scope when a call names none; empty means every knowledge base the credential can see
agentIdunsetSends weknora_ask to the ReAct pipeline
maxResults8Also the ceiling for max_results and for cited references
maxChunkChars1200Per-passage character budget
requestTimeoutMs30000Retrieval and document reads
chatTimeoutMs300000weknora_ask, which waits on WeKnora's own model calls
resourceUrlshandlepublic returns directly loadable file URLs
toolPrefixweknoraTool-name prefix, ^[a-z][a-z0-9_]*$
tools.*all trueRegister fewer tools to spend fewer prompt tokens

Development

npm install
npm test          # builds, then runs the unit and contract tests
npm run typecheck

The end-to-end check installs the package into a throwaway dsh profile, boots the headless profile against a mock WeKnora backend and a deterministic OpenAI-compatible model, and asserts that the harness really called the tools and answered from what they returned:

npm run build
node test/e2e/run-in-dsh.mjs                        # installs dsh from npm on first run
DSH_BIN=/path/to/dsh node test/e2e/run-in-dsh.mjs   # or reuse an existing install

dsh needs a Node build with zstd support (Node ≥ 22.15 or ≥ 24) for its session persistence, and pnpm ≥ 10 on PATH, because dsh plugin add installs into the profile through pnpm and the profile it writes keeps its settings in pnpm-workspace.yaml. The plugin itself runs on Node ≥ 20.11 and needs neither.

test/fixtures/api-contract.json records every WeKnora call this plugin makes. test/contract.test.mjs asserts the plugin still emits exactly those calls, and contract/contract_test.go asserts WeKnora's real Go request and response types still accept and serve them — so a rename on either side fails CI instead of a user's agent.

Compatibility

Verified against dsh 0.1.0-rc.8 and WeKnora 0.7.2. dsh is in developer preview and states that breaking changes will happen; this package deliberately has no runtime dependencies and hands ctx.tools.register() a plain object, so it does not pin any harness package version. If a harness release changes the tool-definition contract, open an issue against this repository.

License

MIT, same as WeKnora and dsh.