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OpenCode plugin that implements a reflection/judge layer to verify task completion

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OpenCode Plugins

Tests License: MIT OpenCode

Make your AI coding assistant actually finish the job. Self-reflection and task verification for OpenCode - the open-source AI coding agent.

The Problem

AI coding assistants often:

  • Stop before the task is truly complete
  • Miss edge cases or skip steps
  • Say "done" when tests are failing
  • Require constant human supervision

The Solution

This plugin adds a judge layer that automatically evaluates task completion and forces the agent to continue until the work is actually done. Plus, get notified on Telegram when long-running tasks finish - and reply back via text or voice.

Plugin Description
reflection.ts Judge layer that verifies task completion and forces agent to continue if incomplete
tts.ts Text-to-speech + Telegram notifications with two-way communication
worktree-status.ts Git worktree status tool for checking dirty state, branch, and active sessions

Key Features

  • Automatic task verification - Judge evaluates completion after each agent response
  • Self-healing workflow - Agent receives feedback and continues if work is incomplete
  • Telegram notifications - Get notified when tasks finish, reply via text or voice
  • Local TTS - Hear responses read aloud (Coqui XTTS, Chatterbox, macOS)
  • Voice-to-text - Reply to Telegram with voice messages, transcribed by local Whisper

Quick Install

# Install plugins
mkdir -p ~/.config/opencode/plugin && \
curl -fsSL -o ~/.config/opencode/plugin/reflection.ts \
  https://raw.githubusercontent.com/dzianisv/opencode-plugins/main/reflection.ts && \
curl -fsSL -o ~/.config/opencode/plugin/tts.ts \
  https://raw.githubusercontent.com/dzianisv/opencode-plugins/main/tts.ts && \
curl -fsSL -o ~/.config/opencode/plugin/telegram.ts \
  https://raw.githubusercontent.com/dzianisv/opencode-plugins/main/telegram.ts && \
curl -fsSL -o ~/.config/opencode/plugin/worktree-status.ts \
  https://raw.githubusercontent.com/dzianisv/opencode-plugins/main/worktree-status.ts

# Install required dependencies
cat > ~/.config/opencode/package.json << 'EOF'
{
  "dependencies": {
    "@opencode-ai/plugin": "1.1.36",
    "@supabase/supabase-js": "^2.49.0"
  }
}
EOF
cd ~/.config/opencode && bun install

Then restart OpenCode.


Architecture Overview

┌─────────────────────────────────────────────────────────────────────────────┐
│                              OpenCode Plugins                                │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                              │
│  ┌──────────────────┐    ┌──────────────────┐    ┌──────────────────────┐   │
│  │  reflection.ts   │    │     tts.ts       │    │  worktree-status.ts  │   │
│  │                  │    │                  │    │                      │   │
│  │ • Judge layer    │    │ • Local TTS      │    │ • Git dirty check    │   │
│  │ • Task verify    │    │ • Whisper STT    │    │ • Branch status      │   │
│  │ • Auto-continue  │    │ • Telegram notif │    │ • Active sessions    │   │
│  └──────────────────┘    └────────┬─────────┘    └──────────────────────┘   │
│                                   │                                          │
│                    ┌──────────────┼──────────────┐                          │
│                    ▼              ▼              ▼                          │
│           ┌──────────────┐ ┌────────────┐ ┌──────────────────────┐          │
│           │ TTS Engines  │ │telegram.ts │ │   Supabase Backend   │          │
│           │              │ │  (helper)  │ │                      │          │
│           │ • Coqui XTTS │ │            │ │ • Edge Functions     │          │
│           │ • Chatterbox │ │ • Notifier │ │ • PostgreSQL + RLS   │          │
│           │ • macOS say  │ │ • Supabase │ │ • Realtime subscr.   │          │
│           └──────────────┘ └────────────┘ └──────────────────────┘          │
└─────────────────────────────────────────────────────────────────────────────┘

Note: telegram.ts is a helper module (not a standalone plugin) that provides Telegram notification functions used by tts.ts.


Reflection Plugin

Evaluates task completion after each agent response and provides feedback if work is incomplete.

How It Works

  1. Trigger: session.idle event fires when agent finishes responding
  2. Context Collection: Extracts task, AGENTS.md, tool calls, agent output
  3. Judge Session: Creates separate hidden session via OpenCode Sessions API for unbiased evaluation
  4. Verdict: PASS → toast notification | FAIL → feedback injected into chat
  5. Continuation: Agent receives feedback and continues working

Features

  • OpenCode Sessions API: Uses OpenCode's session management to create isolated judge sessions
  • Project-aware evaluation: Reads AGENTS.md and skills to understand project-specific policies, testing requirements, and deployment rules
  • Rich context: Task description, last 10 tool calls, agent response, and project guidelines
  • Automatic trigger on session idle
  • Non-blocking async evaluation with polling (supports slow models like Opus 4.5)
  • Max 16 attempts per task to prevent loops
  • Infinite loop prevention (skips judge sessions)
  • Auto-reset counter when user provides new feedback

Configuration

Constants in reflection.ts:

const MAX_ATTEMPTS = 16          // Max reflection attempts per task (auto-resets on new user feedback)
const JUDGE_RESPONSE_TIMEOUT = 180_000  // 3 min timeout for judge
const POLL_INTERVAL = 2_000      // Poll every 2s
const STUCK_CHECK_DELAY = 30_000 // Check if agent stuck 30s after reflection feedback
const STUCK_NUDGE_DELAY = 15_000 // Nudge agent 15s after compression

Judge Context

The judge session receives:

  • User's original task - What was requested
  • AGENTS.md content (first 1500 chars) - Project-specific policies, testing requirements, deployment checklist, and development workflows
  • Last 10 tool calls - What actions the agent took
  • Agent's final response (first 2000 chars) - What the agent reported

This allows the judge to verify compliance with project-specific rules defined in AGENTS.md and related skills, such as:

  • Required testing procedures
  • Build/deployment steps
  • Code quality standards
  • Security policies
  • Documentation requirements

TTS Plugin

Text-to-speech with Telegram integration for remote notifications and two-way communication.

TTS Engines

Engine Quality Speed Setup
Coqui XTTS v2 Excellent 2-5s Auto-installed, Python 3.9+
Chatterbox Excellent 2-5s Auto-installed, Python 3.11
macOS say Good Instant None

Configuration

~/.config/opencode/tts.json:

{
  "enabled": true,
  "engine": "coqui",
  "coqui": {
    "model": "xtts_v2",
    "device": "mps",
    "serverMode": true
  },
  "telegram": {
    "enabled": true,
    "uuid": "<your-uuid>",
    "sendText": true,
    "sendVoice": true,
    "receiveReplies": true
  }
}

Toggle Commands

/tts        Toggle on/off
/tts on     Enable
/tts off    Disable

Telegram Integration

Two-way communication: receive notifications when tasks complete, reply via text or voice.

Message Flow

┌─────────────────────────────────────────────────────────────────────────────┐
│                         OUTBOUND (Task Complete)                             │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                              │
│  OpenCode ──► TTS Plugin ──► Supabase Edge ──► Telegram API ──► User        │
│     │              │         (send-notify)                                   │
│     │              │                                                         │
│     │         ┌────┴────┐                                                    │
│     │         │ Convert │  WAV → OGG (ffmpeg)                               │
│     │         │ audio   │                                                    │
│     │         └─────────┘                                                    │
│     │                                                                        │
│  Stores reply context (session_id, uuid) in telegram_reply_contexts table   │
│                                                                              │
└─────────────────────────────────────────────────────────────────────────────┘

┌─────────────────────────────────────────────────────────────────────────────┐
│                         INBOUND (User Reply)                                 │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                              │
│  TEXT REPLY:                                                                 │
│  User ──► Telegram ──► Webhook ──► telegram_replies table                   │
│                        (Edge Fn)           │                                 │
│                                            │ Supabase Realtime              │
│                                            ▼                                 │
│                                      TTS Plugin ──► OpenCode Session        │
│                                                     (promptAsync)            │
│                                                                              │
│  VOICE REPLY:                                                                │
│  User ──► Telegram ──► Webhook ──► Download audio ──► telegram_replies      │
│           (voice)     (Edge Fn)    (base64)                │                 │
│                                                            │ Realtime       │
│                                                            ▼                 │
│                                    TTS Plugin ──► Whisper STT ──► OpenCode  │
│                                    (local)        (transcribe)               │
│                                                                              │
└─────────────────────────────────────────────────────────────────────────────┘

Setup

  1. Generate UUID:

    uuidgen | tr '[:upper:]' '[:lower:]'
  2. Subscribe via Telegram:

  3. Configure plugin (~/.config/opencode/tts.json):

    {
      "telegram": {
        "enabled": true,
        "uuid": "<your-uuid>",
        "receiveReplies": true
      }
    }
  4. Install ffmpeg (for voice messages):

    brew install ffmpeg

Bot Commands

Command Description
/start <uuid> Subscribe with your UUID
/stop Unsubscribe
/status Check subscription

Supabase Backend

All backend code is in supabase/ - self-hostable.

Database Schema

-- Maps UUID → Telegram chat_id
telegram_subscribers (
  uuid UUID PRIMARY KEY,
  chat_id BIGINT NOT NULL,
  is_active BOOLEAN DEFAULT TRUE,
  notifications_sent INTEGER DEFAULT 0
)

-- Stores reply context for two-way communication
telegram_reply_contexts (
  id UUID PRIMARY KEY,
  chat_id BIGINT NOT NULL,
  uuid UUID REFERENCES telegram_subscribers(uuid),
  session_id TEXT NOT NULL,
  expires_at TIMESTAMPTZ DEFAULT (NOW() + INTERVAL '24 hours'),
  is_active BOOLEAN DEFAULT TRUE
)

-- Incoming replies (text and voice)
telegram_replies (
  id UUID PRIMARY KEY,
  uuid UUID REFERENCES telegram_subscribers(uuid),
  session_id TEXT NOT NULL,
  reply_text TEXT,           -- NULL for voice before transcription
  is_voice BOOLEAN DEFAULT FALSE,
  audio_base64 TEXT,         -- Base64 audio for voice messages
  voice_file_type TEXT,      -- 'voice', 'video_note', 'video'
  voice_duration_seconds INTEGER,
  processed BOOLEAN DEFAULT FALSE
)

Edge Functions

Function Purpose Auth
telegram-webhook Handles Telegram updates, stores replies No JWT (Telegram calls it)
send-notify Receives notifications from plugin JWT optional

RLS Policies

-- Service role: full access (Edge Functions)
-- Anon role: SELECT for realtime, UPDATE via RPC

-- Secure function for marking replies processed
CREATE FUNCTION mark_reply_processed(p_reply_id UUID)
RETURNS BOOLEAN
SECURITY DEFINER  -- Bypasses RLS

Realtime

Plugin subscribes to telegram_replies table changes:

supabase.channel('telegram_replies')
  .on('postgres_changes', {
    event: 'INSERT',
    schema: 'public', 
    table: 'telegram_replies',
    filter: `uuid=eq.${uuid}`
  }, handler)

Self-Hosting

# 1. Link to your Supabase project
supabase link --project-ref <your-project>

# 2. Push migrations
supabase db push

# 3. Deploy functions
supabase functions deploy telegram-webhook --no-verify-jwt
supabase functions deploy send-notify

# 4. Set secrets
supabase secrets set TELEGRAM_BOT_TOKEN=<token>

# 5. Configure webhook
curl "https://api.telegram.org/bot<TOKEN>/setWebhook?url=https://<project>.supabase.co/functions/v1/telegram-webhook"

# 6. Update tts.json with your serviceUrl

Whisper STT

Local speech-to-text for voice message transcription.

How It Works

  1. Telegram voice message received by webhook
  2. Audio downloaded and stored as base64 in telegram_replies
  3. Plugin receives via Supabase Realtime
  4. Local Whisper server transcribes audio
  5. Transcribed text forwarded to OpenCode session

Server

Auto-started on first voice message:

  • Location: ~/.config/opencode/opencode-helpers/whisper/
  • Port: 8787 (configurable)
  • Model: base by default (configurable)

Configuration

{
  "whisper": {
    "enabled": true,
    "model": "base",
    "device": "auto",
    "port": 8787
  }
}

File Locations

~/.config/opencode/
├── package.json              # Plugin dependencies (bun install)
├── opencode.json             # OpenCode config
├── tts.json                  # TTS + Telegram config
├── plugin/
│   ├── reflection.ts         # Reflection plugin (judge layer)
│   ├── tts.ts                # TTS plugin (speech + Telegram)
│   ├── telegram.ts           # Telegram helper module (used by tts.ts)
│   └── worktree-status.ts    # Git worktree status tool
├── node_modules/             # Dependencies (@supabase/supabase-js)
└── opencode-helpers/
    ├── coqui/                # Coqui TTS server
    │   ├── venv/
    │   ├── tts.sock
    │   └── server.pid
    ├── chatterbox/           # Chatterbox TTS server
    │   ├── venv/
    │   ├── tts.sock
    │   └── server.pid
    └── whisper/              # Whisper STT server
        ├── venv/
        ├── whisper_server.py
        └── server.pid

Development

# Clone
git clone https://github.com/dzianisv/opencode-plugins
cd opencode-plugins

# Install dependencies
npm install

# Type check
npm run typecheck

# Run tests
npm test

# Deploy to local OpenCode
npm run install:global

Testing

# Unit tests
npm test

# E2E tests (requires OpenCode server)
OPENCODE_E2E=1 npm run test:e2e

# Manual TTS test
npm run test:tts:manual

Requirements

  • OpenCode v1.0+
  • TTS: macOS (for say), Python 3.9+ (Coqui), Python 3.11 (Chatterbox)
  • Telegram voice: ffmpeg (brew install ffmpeg)
  • Dependencies: bun (OpenCode installs deps from package.json)

Why Use This?

Without Reflection Plugin With Reflection Plugin
Agent says "done" but tests fail Agent runs tests, sees failures, fixes them
You manually check every response Automatic verification after each response
Context switching interrupts your flow Get notified on Telegram, reply hands-free
Agent stops at first attempt Up to 3 self-correction attempts
Hope it worked Know it worked

Related Projects

  • OpenCode - Open-source AI coding agent (required)
  • Claude Code - Anthropic's AI coding assistant
  • Cursor - AI-powered code editor

Keywords

opencode ai-coding-assistant llm-agent task-verification self-reflection autonomous-coding telegram-bot text-to-speech whisper developer-tools productivity ai-automation

Contributing

Contributions welcome! Please read the AGENTS.md for development guidelines.

License

MIT


Built for developers who want their AI to finish the job.

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OpenCode plugin that implements a reflection/judge layer to verify task completion

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