DeepSeek Harness Plugin

Letter2025/dsh-tool-search

Stars ★ 12 Downloads (30d) 3,347 Category Tools & Capabilities Added 2026-08-14 npm dsh-tool-search

Hermes-style tool search & slimming: progressive disclosure, semantic search, describe, and call long-tail tools on demand while core tools stay eager.

Install

# from npm (prebuilt)

dsh plugin --profile web add dsh-tool-search

# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)

dsh plugin --profile web add github:Letter2025/dsh-tool-search

Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time — pnpm blocks those until you allow them, so an install can stop with ERR_PNPM_GIT_DEP_PREPARE_NOT_ALLOWED or ERR_PNPM_IGNORED_BUILDS; dsh prints the exact key to add under allowBuilds in your profile’s pnpm-workspace.yaml, and the install works on the next run. Allowing a build is a trust decision: only install sources you trust, and pin a commit (github:owner/repo#sha).

README

Tool search & slimming for DeepSeek Harness (DSH): Hermes-style progressive disclosure. When your tool catalog gets large (many MCP servers or plugin tools), every tool's JSON schema is injected into the model context on every turn — wasting tokens on tools the task never uses. This plugin collapses the long tail behind three bridge tools and lets the model discover and load them on demand through a configured rerank model.

  • Core tools stay eager — file/shell/essential tools are always directly visible.
  • Bridge tools — tool_search, tool_describe, tool_call replace the deferred schemas.
  • Tiered disclosure — the visible listing shrinks automatically as the catalog grows.
  • Conversational setup — the bundled tool-slimmer-setup skill groups your tools by talking to you, and guides configuring the rerank model.
  • User or project config — groups/matcher live in ~/.dsh/dsh-tool-search.json (global) or <workspace>/.dsh/dsh-tool-search.json (per project), your choice.

Install

dsh plugin --profile web add dsh-tool-search

How it works

Inspired by Hermes Agent's Tool Search. On every turn, the plugin's system-prompt/assemble listener computes the tier and replaces the model-visible tools:

Tier Condition Model sees
0 Small catalog / nothing deferrable Every tool, bridge absent
1 Grouped manifest fits the budget Bridge + ## group name/description listing
2 Only names fit Bridge + names-only listing
3 Even names overflow Bridge + one line per group (name: count)

Budget = min(thresholdPct% × contextWindow, listingMaxTokens), recomputed every turn. The manifest rides a runtime context, so it survives complete-prompt composition.

Dynamic injection: searching, describing, or calling a deferred tool warms it into the session's visible set (LRU-bounded by maxWarmTools), so its full schema is injected into the context for later turns — the model pulls tools into context on demand instead of keeping everything.

When tool_call runs, the plugin executes the real tool by name through ctx.tools.execute, so approvals, guards, and session events all reference the underlying tool — never the bridge. tool_search ranks with the configured rerank matcher and falls back to keyword matching (exact name > name tokens > description tokens) when no matcher is configured or the rerank call fails.

Setup (conversational)

Ask your agent:

帮我配置 dsh-tool-search 的工具分组

The tool-slimmer-setup skill will read the catalog, propose groups, confirm with you, ask whether the config should be global or per-project, and guide you through configuring the rerank matcher (required for tool_search and preload).

Configuration

Static tuning lives in your profile cordis.patch.yml (restart to change):

- id: tool-search
  config:
    enabled: auto        # auto | on | off
    thresholdPct: 5      # listing budget as % of context window
    listingMaxTokens: 4000
    configScope: auto    # user | project | auto (project file wins when present)
    core: [todo_write]   # extra always-eager tools
    maxWarmTools: 8      # LRU cap for dynamically injected tools

Tool groups, the matcher, and preload live in the runtime file (~/.dsh/dsh-tool-search.json for user scope):

{
  "version": 1,
  "scope": "user",
  "groups": [
    { "name": "git", "tools": ["git_status", "git_diff"] },
    { "name": "mcp-github", "prefixes": ["mcp_github_"] }
  ],
  "matcher": {
    "endpoint": "https://dashscope.aliyuncs.com/compatible-mode/v1/rerank",
    "apiKey": "sk-...",
    "model": "qwen3-reranker",
    "topN": 20
  },
  "preload": { "enabled": false, "topK": 5 },
  "core": ["read_file", "write_file"]
}
  • groups: exact tool names and/or name prefixes; a tool belongs to the first matching group.
  • matcher: an OpenAI-compatible /v1/rerank endpoint — the only matcher type. tool_search returns setup guidance until one is configured.
  • preload: optional; when enabled (with a matcher), the session's first turn semantically preloads the top-K matching tools into the eager set.
  • The file is watched by mtime and hot-reloads; changes take effect on the next turn.

Bridge tools

Tool Purpose
tool_search(query, limit?) Search the deferred catalog (rerank, keyword fallback) and return ranked {name, description, group} matches; matches are injected into the visible context
tool_describe(name) Load the full schema of one deferred tool; the tool is injected into the visible context
tool_call(name, arguments) Invoke a deferred tool by real name; approvals/guards/events use the real tool; the tool is injected into the visible context

Design notes & pitfalls

  • Slimming only rewrites the model-visible surface (system-prompt/assemble); the registry stays complete, so deferred tools remain executable.
  • The bridge, the two setup tools, and skill are always eager and never defer themselves.
  • PTC (run_code) scopes keep the transport, not the declarations. Such a scope's wire table is collapsed to run_code alone, with every declaration moved into the tools:sdk prompt section — the tokens this plugin exists to slim. The plugin leaves that table alone (replacing it deleted run_code from the prompt) and re-renders the section instead: the eager core plus the bridge tools, with the deferred catalog injected as a runtime context under a run_code-aware header. The section's generator is read from its own text (interface ToolArgsMap = TypeScript, TypedDict = Python); text from an unknown generator is left untouched rather than rewritten in the wrong language. A both scope keeps run_code eager (the bridge refuses to invoke it by name) and gets the same declaration rewrite; native sessions are unaffected.
  • dsh 0.2.1-rc.3 moved two seams under this plugin. The PTC generators now live in @deepseek-ai/dsh-tool-executor-ptc and are no longer exported by @deepseek-ai/dsh-tools, so they are resolved with a dynamic import at run time — newest package first, dsh-tools as the fallback, and a harness carrying neither loads the plugin with the section rewrite disabled instead of failing the import graph. That release also hands the waterfall only sections/contexts/variables and appends its own tool table afterwards, so an assembly without a table of its own is returned untouched: on such a host the plugin ships the declaration rewrite and the injected catalog, and the table slimming applies to earlier releases. On 0.2.1-rc.4, 0.2.2-alpha.2 and 0.2.2-rc.1 the same split is total: native schemas belong to the host's tool executor, and the step's ResolvedToolSet (context.toolSet) is threaded into every catalog and declaration lookup so tools a step did not admit are never disclosed. 0.2.2-rc.1 changed none of the seams this plugin uses, so v0.1.10 is a manifest-only release.
  • Keyword matching is only a fallback: rerank is the primary ranking; without a matcher or on rerank failure, search degrades to keyword matching (exact name > name tokens > description tokens) and never errors.
  • See DESIGN.md for the full architecture.

Links

License

MIT

Content from the project README on GitHub ↗

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