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modelspoke

Local OpenAI-compatible model server discovery and reasoning metadata resolution plugin for DeepSeek Harness.

VisionUI & ProductivitySkills & Workflows
0GitHub Stars0ForksUpdated2026-10-18

Install

$ dsh plugin --profile web add modelspoke

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
modelspoke is a DeepSeek Harness plugin designed to discover and manage local OpenAI-compatible model servers such as llama-swap, Ollama, llama-server, vLLM, sglang, and LM Studio. It replaces manual provider blocks with automated server discovery, tiered capability presets, reasoning effort level mappings, image input detection, and a dedicated configuration UI in the DSH settings panel.

Key Capabilities

  • Discovers local OpenAI-compatible model endpoints and capabilities automatically
  • Offers first-class support and extended capability discovery for llama-swap and Ollama
  • Provides built-in capability presets for common base models on endpoints like vLLM, sglang, and llama-server
  • Enables configurable reasoning effort level mappings from UI settings to model parameters
  • Detects and configures image input and multimodal capabilities for supported local models
  • Integrates a settings card directly into the DeepSeek Harness web interface for profile and model curation

Useful For

  • Connecting DeepSeek Harness to locally hosted LLM servers without manual YAML configuration
  • Configuring reasoning and thinking effort levels for local reasoning models
  • Curating which local models are accessible to the agent and tuning context window/token limits per model
  • Integrating multimodal vision-capable local models into DeepSeek Harness workflows

Who It Fits

  • Developers running local LLMs with Ollama, llama-swap, vLLM, or llama.cpp
  • DeepSeek Harness users requiring granular control over local model capabilities and reasoning effort
  • Self-hosted AI enthusiasts seeking a GUI-based provider setup in DSH

Documented Limitations

  • Requires DeepSeek Harness 0.1.7 or newer with pnpm and the dsh plugin command installed
  • Deep template-contract fields (compat) still require manual file editing rather than web UI modification
  • End-to-end model discovery quality depends on the capability metadata exposed by the underlying model server

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, 18 development, 4 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
americanjeff/modelspoke
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
e32b4ba · 2026-10-25

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
0GitHub stars
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Open issues
0
Last commit
2026-10-18
Last release
2026-10-18
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