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-moaThen 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: 2The 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
| Field | Type | Default | Description |
|---|---|---|---|
toolName |
string |
"run_moa" |
Tool name registered in DSH. |
proposers |
{ provider, model }[] |
[] |
Models that independently answer the prompt in parallel. |
aggregator |
{ provider, model } |
required | Stronger model that synthesizes the final answer. |
minProposers |
number |
2 |
Minimum successful proposers required to run aggregation. |
proposerMaxTokens |
number |
1500 |
Output cap for each proposer. |
aggregatorMaxTokens |
number |
2500 |
Output cap for the aggregator. |
fallbackLongest |
boolean |
true |
If the aggregator fails, fall back to the longest proposer output. |
temperature |
number |
— | Optional sampling temperature passed to every call. |
reasoningEffort |
string |
— | Optional adapter-owned reasoning effort id. |
maxRetries |
number |
0 |
Retries per proposer/aggregator on transient errors, with exponential backoff. |
iterations |
number |
1 |
Iterative MoA rounds (1 = single layer + aggregator). |
License
MIT