dashboard
Find, start, use, and stop the local run dashboard for metrics, configs, traces, logs, and reports.
Skill by mixedbread-ai
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About
Use cases: documents, data
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What's inside
- Skill name
dashboard- Description
- Find, start, use, and stop the local run dashboard for metrics, configs, traces, logs, and reports. Use when asked for its URL, to watch or inspect a run, to control the open dashboard, or to create a cited dashboard report explicitly requested by the user.
- License
- Apache-2.0
- Instructions
- 127 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
# Run dashboard
`uv sync --extra dashboard && uv run dashboard [output_dir ...]` (default
`outputs/`, or `$PRL_OUTPUT_DIR` if set) serves a web UI at `http://localhost:7788`. It only reads run
dirs — safe against live runs — and installs anywhere (cluster head node,
laptop against a mounted outputs dir): GPU dependencies live behind the
`gpu` extra.
The Config and Logs views default to `latest (attempt <n>)`. Select an attempt
to inspect the immutable config or log files from an earlier launch. The Config
view shows a copyable launch command above the launch TOML or resolved JSON.
Every dashboard instance serves the dirs it was started with **plus** every dir
in the per-user registry (`~/.cache/prime-rl/dashboard/dirs.json`, re-read
live). Launchers (`rl`, `sft`) register their output dir on every
start and, in interactive sessions, auto-start a dashboard only when none is
live — an already-running one absorbs the new dir automatically, whatever port
it is on. `--no-dashboard` opts a run out; non-interactive launches (CI, nohup)
register their dir but never spawn.
## Isolated mode
`--isolated` serves only the given dirs: no registry read or write, no
discovery claim, and launchers ignore the instance. Use it for focused views
(demos, debugging one run dir) or to keep a scratch dir out of the registry.
## Finding the live dashboard
The live port can differ from 7788 (a taken port bumps to the next free one),
so read the discovery file:
```bash
cat ~/.cache/prime-rl/dashboard/daemon.json # {"pid": ..., "url": "http://localhost:<actual port>"}
curl -sf $(jq -r .url ~/.cache/prime-rl/dashboard/daemon.json)/api/runs > /dev/null && echo live
ps aux | grep PRL::Dashboard # process title
```
Hand the researcher the `url` from `daemon.json`. Launcher logs also print it:
startup ends with a `Dashboard · <url>` banner. The auto-started instance logs
to `~/.cache/prime-rl/dashboard/daemon.log`.
## Stopping / restarting
```bash
kill $(jq -r .pid ~/.cache/prime-rl/dashboard/daemon.json) # the discovered instance
pkill -f PRL::Dashboard # every dashboard on the host
```
A clean exit releases `daemon.json`; a stale file from a dead process is taken
over by the next start. Killing a dashboard never affects runs (it only reads),
and killing a run never takes the dashboard down (it runs in its own session).
Restart by launching any run, or directly: `uv run dashboard`.
## Point the open dashboard
Use `POST /api/view` to show relevant run data in every connected dashboard
tab:
```bash
curl -sS -X POST $(jq -r .url ~/.cache/prime-rl/dashboard/daemon.json)/api/view \
-H 'content-type: application/json' -d '{
"run": "demo-rl", "tab": "traces",
"step": 0, "kind": "train", "subset": "effective",
"episode": "ep-s00-reverse-text-0",
"highlight": [{"node": 3, "quote": "hint: reverse the words", "reason": "tool result the policy conditioned on"}]
}'
```
`run` is required; other fields are optional and leave unspecified UI state
unchanged. For trace evidence, supply `step`, `kind`, and `subset` together and
address the episode by stable `id`. Use optional `trace` and `branch` indices
for multi-agent traces and `highlight` entries shaped as `{node, quote,
reason, field?}`. On `409`, tell the user to open the returned `url`; the stored
command applies when the tab connects.
## Write a report only when asked
Create a report only when the user explicitly asks for one. Otherwise answer
normally; use `/api/view` when showing trace evidence would help.
Write requested reports to `<run>/reports/<slug>.md`, then POST `{"run": ...,
"tab": "report", "report": "<slug>"}`. Use Markdown with a frontmatter
`title` and one-line JSON citation definitions:
```markdown
---
title: Why does reward dip at step 4?
---
The dip is provider errors, not policy regression [^err].
[^err]: {"step": 4, "kind": "train", "subset": "all", "episode": "ep-...", "node": 0, "quote": "engine overloaded", "note": "The failed call that emptied this step's batch."}
```
The frontmatter `title` is rendered as the report H1; do not repeat it with a
Markdown `#` heading. The inline renderer supports only HTTP(S) and anchor
links. Relative Markdown links render as literal text, so identify local source
files with inline code paths or link to a supported HTTP endpoint.
Each citation requires `step`, `kind`, `subset`, `episode`, `quote`, and `note`.
Use the top-level rollout record `id` returned by the dashboard episode-list
API—not a nested `traces[*].id`, and never `line`. Copy a short, distinctive
quote exactly; matching is case-sensitive and whitespace-insensitive. Keep
`note` to 1–2 sentences explaining why the quote supports the claim.
Cite major empirical, comparative, and diagnostic conclusions, but not routine
explanation. Use exact trace citations for trajectory-level claims. For
aggregate statistics, identify the run and source file; do not imply that one
example trajectory proves the aggregate.
Use adjacent markers (`[^a] [^b]`) only when one claim genuinely depends on
distinct passages, such as a comparison or corroboration. Use one citation
when one passage is sufficient.
Optional fields are `run`, `trace`, `branch`, `node`, `field`, `prefix`, and
`suffix`. Use `field: "content"` or `"reasoning"` only to disambiguate message
parts. Use verbatim adjacent `prefix`/`suffix` only when a quote repeats.
Ambiguous or mismatched citations remain broken and do not navigate.From mixedbread-ai/prime-rl-fork-public, Apache-2.0.
Signals
- Stars
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- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 26, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
dashboard skill. Agent Mart. https://agentmart.dev/skills/mixedbread-ai-dashboard (last updated 2026-10-24)