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dsh-local-llm-controller

Control local llama.cpp instances and integrate local LLMs directly into DSH sessions with dual-slot management and custom compaction.

VisionDeveloper Tools
10GitHub Stars0ForksUpdated2026-10-23

Install

$ dsh plugin --profile web add <地址>

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-local-llm-controller is a DeepSeek Harness plugin that provides direct UI-based control over local llama.cpp server processes. It supports dual model slots (A/B), automatic GGUF and multimodal projection scanning, eight configurable launch parameter sets, and direct registration into DSH model providers. It also includes an optional tailored compaction engine for 32k-150k local context windows.

Key Capabilities

  • One-click start, stop, and process lifecycle management for local llama-server directly from Settings
  • Dual-slot model management (A/B) with automatic scanning for GGUF model files and mmproj vision adapters
  • Configurable preset launch parameter groups across slot, modality (text/vision), and context length (fast/long)
  • Automatic registration of running local models into DSH model providers for session selection
  • Proportional-threshold local compaction engine submodule optimized for 32k to 150k context windows

Useful For

  • Running offline or private local GGUF models as conversational backends inside DeepSeek Harness
  • Switching seamlessly between text and vision models hosted on a local machine
  • Managing llama-server execution parameters and context budgets without leaving the DSH web UI
  • Preventing aggressive compaction triggers on smaller local context windows using the specialized compaction engine

Who It Fits

  • DSH users looking for private, offline local LLM inference via llama.cpp
  • Developers testing and benchmarking quantized open-weight models within DSH
  • Local AI practitioners running hardware-constrained or specialized GGUF models

Documented Limitations

  • Does not include the llama.cpp server binaries or model weights; both must be provided locally
  • Replacing model files requires manual removal of old provider entries in DSH model settings
  • Older llama-server builds lack WebP image support (requires conversion to PNG/JPEG)
  • Custom compaction engine requires manual integration into custom agent mode presets

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 0 runtime, 0 development, 10 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
Lbunc/dsh-local-llm-controller
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
edd6bf9 · 2026-10-27

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
10GitHub stars
Forks
0
Open issues
0
Last commit
2026-10-23
Last release
2026-10-23
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