# omp-advisor

[oh-my-pi](https://github.com/can1357/oh-my-pi)'s **advisor** for the DeepSeek Harness (DSH). A second model reads every step the main agent takes and adds notes inline: a quiet aside, a concern, or a hard blocker. It runs on its own context and can use its own model, so it catches what the main agent misses while focused on the task.

## How it works

- **When it reviews:** after each completed step (the agent's message, tool calls and tool results). It gets a compact digest of the conversation: the task at the head, the latest steps at the tail, and long tool output clipped. The digest also lists the advice it already gave, so it doesn't repeat itself.
- **What it answers:** `{"verdict": "ok" | "note" | "concern" | "blocker", "message": "…"}`. `ok` is the common case, and nothing is shown.
- **How advice reaches the agent:**
  - **note / concern** is appended to the agent's next request as a system reminder.
  - **blocker** gets the same reminder, marked *stop and address this*. If it arrives as the agent tries to end its turn, the advisor **steers** the agent into one more step to deal with it.
- **Cost to the main loop:** reviews run in the background and add no latency, unless you set `blocking: true`.
- **Subagents:** skipped by default (`skipSubagents`).

Blockers are for real damage or clear wrong turns: destructive commands, secret leaks, pushing broken code, ignoring explicit instructions, going in circles. Concerns cover likely bugs, wrong assumptions, unverified claims, or a much better approach.

## Installation

```bash
dsh plugin --profile web add git+https://git.rizzy.dev/DSH-Plugins/omp-advisor.git
```

Or in the Web UI, go to **Settings → Plugins → Install**. For development, use `link:` to a clone. Restart DSH afterwards; new sessions are advised automatically.

## Configuration

```yaml
- id: omp-advisor
  config:
    enabled: true
    provider: ''          # advisor model route; empty = same as the agent
    model: ''             #   e.g. provider: omni, model: claude-haiku-4-5 for a cheap fast reviewer
    reasoningEffort: ''   # optional effort for the advisor model
    minLevel: note        # lowest verdict delivered: note | concern | blocker
    everyNSteps: 1        # review every Nth step
    blocking: false       # true = wait for each review before the next request
    maxDigestChars: 24000
    maxToolResultChars: 1500
    timeoutMs: 60000
    skipSubagents: true
```

To pause it, disable the plugin in **Settings → Plugins → OMP Advisor**.

## Tests

`npm test`: verdict parsing, injection, ok-silence, blocker steering, minLevel and duplicate suppression (mocked model).