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ARISE

Dashboard

ARISE includes two dashboard modes for monitoring your skill library and trajectory history: a terminal TUI (requires no browser) and a web UI.

Terminal TUI

Section titled “Terminal TUI”
Terminal window
arise dashboard ./arise_skills
arise dashboard ./arise_skills --trajectories-path ./arise_trajectories

Requires arise-ai[dashboard] (installs rich).

The TUI displays:

Skill Library panel (left)

  • Library version number
  • Active / Testing / Deprecated skill counts
  • Table of active skills: name, success rate, invocation count, origin (manual/synthesized/refined/patched), skill ID
  • Top performers highlighted

Trajectory History panel (right)

  • Rolling list of recent episodes: task (truncated), reward score, step count, timestamp
  • Success/failure color-coded by reward threshold (≥0.5 = success)
  • Recent success rate across last 50 episodes

Evolution History panel (bottom)

  • One row per evolution cycle: timestamp, gaps detected, tools synthesized, tools promoted, rejected tools, duration
  • Tools promoted shown in green; rejected tools with rejection reason

The TUI refreshes every few seconds. Press q or Ctrl-C to quit.

Web UI

Section titled “Web UI”
Terminal window
arise dashboard ./arise_skills --web
arise dashboard ./arise_skills --web --port 9000
arise dashboard ./arise_skills --web --trajectories-path ./arise_trajectories

Requires arise-ai[dashboard] (installs rich + fastapi). Opens a browser tab at http://localhost:8501 (or the port you specify).

The web UI provides the same information as the TUI but in a browser, with:

Overview tab

  • Library stats card: version, active/testing/deprecated counts, average success rate
  • Skills table: sortable by success rate, invocations, or name; click a row to expand the implementation and test suite

Trajectories tab

  • Paginated list of recent trajectories
  • Filter by reward threshold (successes only, failures only, or all)
  • Click a trajectory to expand and see each step: tool called, inputs, output or error, latency

Evolution tab

  • Timeline of evolution cycles
  • For each cycle: which gaps were detected, which tools were synthesized vs. rejected, total duration and cost

Programmatic Access

Section titled “Programmatic Access”

The same data is available from Python without the dashboard:

# Library stats
print(arise.stats)
# {
#   "active": 4,
#   "testing": 1,
#   "deprecated": 2,
#   "total_skills": 7,
#   "library_version": 8,
#   "avg_success_rate": 0.847,
#   "recent_success_rate": 0.9,
#   "top_performers": [...],
#   "episodes_run": 42,
# }


# Last evolution report
report = arise.last_evolution
print(report.tools_promoted)   # ["compute_sha256"]
print(report.tools_rejected)   # [{"name": "fetch_api", "reason": "sandbox failure"}]
print(report.duration_ms)      # 45000


# Full history
for r in arise.evolution_history:
    print(r.timestamp, r.tools_promoted)


# Active skills
for skill in arise.skills:
    print(skill.name, skill.success_rate, skill.invocation_count)