dsh-moa

A DeepSeek Harness plugin that adds Mixture of Agents (MoA) as an on-demand tool: run_moa.

Instead of using one model, MoA sends the same prompt to several proposer models in parallel, then has a stronger aggregator model synthesize the best final answer from all their outputs. It is not on the normal request path — the agent calls the tool only when multi-model synthesis is worth the extra tokens/latency.

Install

dsh plugin --profile web add github:morphlinglan/dsh-moa

Then restart dsh web if it is already running.

Usage

Configure the proposer pool and aggregator in your profile's cordis.patch.yml:

- insert:
    - id: dsh-moa
      name: dsh-moa
      config:
        toolName: run_moa
        # Replace with your own providers/models.
        proposers:
          - provider: proposer-provider-a
            model: proposer-model-a
          - provider: proposer-provider-b
            model: proposer-model-b
        aggregator:
          provider: aggregator-provider
          model: aggregator-model
        minProposers: 2
        proposerMaxTokens: 1500
        aggregatorMaxTokens: 2500
        fallbackLongest: true
        maxRetries: 2

The providers/models above are placeholders only. Replace them with providers and models you actually have access to.

Then ask the agent to use run_moa for complex analysis, synthesis, translation, or review tasks.

Config

License

MIT