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Llm Friendli — DSH Plugin for DeepSeek Harness
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dsh-llm-friendli

Llm Friendli

FriendliAI serverless LLM adapter for DeepSeek Harness — OpenAI-compatible chat completions with dynamic model discovery and reasoning support

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add dsh-llm-friendli@0.1.7
READMECompatibilityVersions

Compatibility and provenance

Llm Friendli is published as dsh-llm-friendli and currently resolves to version 0.1.7. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
npm
Registry updated
9/15/2026

Versions

0.1.7stable
9/11/2026
0.1.6
stable
9/7/2026
0.1.5stable
9/7/2026
Show 4 more versionsCollapse versions
0.1.4stable
9/7/2026
0.1.3stable
9/7/2026
0.1.2stable
8/18/2026
0.1.1stable
8/18/2026

Related plugins

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Latest
0.1.7
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
54.8 kB
Files
18
Surface
any
License
MIT
Source
npm
GitHub
★ 1
Weekly downloads
260
Security scan
✓ v0.1.7 scan passed
Last push
9/11/2026
View source ↗Project homepage ↗
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README

dsh-llm-friendli

A DeepSeek Harness plugin that adds FriendliAI as an LLM provider. Friendli speaks the OpenAI-compatible chat API, so the adapter implements the harness LlmAdapter contract over it and fetches the model catalog from Friendli at runtime.

Quick start

Install the dsh CLI, add the plugin to a profile, export your key, and launch:

npm i -g @deepseek-ai/dsh                       # the dsh CLI (needs Node.js)
dsh plugin --profile web add dsh-llm-friendli   # register the friendli provider
export FRIENDLIAI_API_KEY="flp_..."               # your Friendli key
dsh web                                         # friendli is now a provider

That's it. dsh plugin add merges the plugin's bundle patch into the profile, so the friendli provider is registered with working defaults — no config file to touch. Open the web UI, pick a Friendli model, and go. The model list is pulled live from Friendli.

Prefer not to install globally? Prefix each command with npx @deepseek-ai/dsh instead.

Confirm the layer loaded without booting:

dsh --profile web --dump-config   # look for a "# == dsh-llm-friendli" layer

Get a key from the Friendli dashboard. It's read from the environment on every request, so never inline it in a config file or commit it.

Configuration

The defaults work out of the box. To override any of them, add a config block in your profile's own cordis.patch.yml:

- id: dsh-llm-friendli
  name: 'dsh-llm-friendli'
  config:
    apiKeyEnv: FRIENDLIAI_API_KEY                     # default
    baseURL: https://api.friendli.ai/serverless/v1  # default
    providers: [friendli]                           # default
    thinking: enabled                               # optional; on/off for controllable models
    modelCacheTtlMs: 60000                          # default; model-catalog cache
    extraHeaders: { X-Title: DeepSeek Harness }     # optional; static headers merged after attribution

To use it outside dsh web, point an agent at a Friendli model id (as returned by GET /models). See examples/cordis.yml for a full fragment.

- id: agent-loop
  name: '@deepseek-ai/dsh-agent-loop'
  config:
    agents:
      - id: main
        provider: friendli
        model: zai-org/GLM-5.2

License

MIT © Lee-Si-Yoon