ef3473db21
Complete snapshot of /opt/microdao-daarion/ from NODE1 (144.76.224.179).
This represents the actual running production code that has diverged
significantly from the previous main branch.
Key changes from old main:
- Gateway (http_api.py): expanded from ~40KB to 164KB with full agent support
- Router: new /v1/agents/{id}/infer endpoint with vision + DeepSeek routing
- Behavior Policy: SOWA v2.2 (3-level: FULL/ACK/SILENT)
- Agent Registry: config/agent_registry.yml as single source of truth
- 13 agents configured (was 3)
- Memory service integration
- CrewAI teams and roles
Excluded from snapshot: venv/, .env, data/, backups, .tgz archives
Co-authored-by: Cursor <cursoragent@cursor.com>
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<a href="#_1" class="md-nav__link">
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<span class="md-ellipsis">
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✅ Що вже зроблено
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</a>
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</li>
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<li class="md-nav__item">
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<a href="#_2" class="md-nav__link">
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<span class="md-ellipsis">
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⏭️ Що перевірити одразу після старту нового чату
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</span>
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</a>
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</li>
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<h1 id="24112025">Стартовий контекст для нового чату (24.11.2025)<a class="headerlink" href="#24112025" title="Permanent link">¶</a></h1>
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<p>Цей документ можна копіювати як короткий промт при старті нового діалогу, щоб одразу мати актуальний стан мультимодальних агентів.</p>
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<h2 id="stttts">🔊 Голос (STT/TTS)<a class="headerlink" href="#stttts" title="Permanent link">¶</a></h2>
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<ul>
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<li>STT сервіс <code>dagi-stt-service</code> перебудований з Whisper (<code>openai-whisper==20231117</code>, <code>torch==2.1.0</code>, <code>numpy<2</code>) та працює на <code>http://172.21.0.19:8895/api/stt/upload</code>.</li>
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<li>Тест через <code>curl -F file=@/tmp/test.wav</code> повертає 200 OK (pipeline робочий).</li>
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<li>Gateway (<code>telegram-gateway/app/router_handler.py</code>) надсилає голосові на <code>/api/stt/upload</code> з полем <code>file</code>.</li>
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<li>Наступний крок: протестувати живим голосовим у будь-якого Telegram-бота; TTS відповіді ще не вмикались.</li>
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</ul>
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<h2 id="vision">📸 Фото (vision)<a class="headerlink" href="#vision" title="Permanent link">¶</a></h2>
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<ul>
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<li><code>_handle_photo</code> тепер витягує <code>file_id</code> → <code>file_url</code> через Telegram Bot API та шле в Router.</li>
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<li>У Router додано профіль <code>specialist_vision_8b</code> (alias на <code>qwen3-vl:8b</code>) і в metadata gateway передає <code>provider: "llm_specialist_vision_8b"</code>.</li>
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<li>Потрібно проконтролювати, що Router повертає реальний опис (без fallback «не можу обробити») — залежить від доступності vision-моделі.</li>
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</ul>
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<h2 id="telegram-gateway">📡 Telegram Gateway<a class="headerlink" href="#telegram-gateway" title="Permanent link">¶</a></h2>
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<ul>
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<li>Перезапущений останньою версією (усі 9 ботів у polling).</li>
|
||
<li>Голосові/фото тепер проходять у NATS -> Router без 500 в gateway.</li>
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<li>Постійне попередження <code>nats: not a JetStream message</code> не критичне (acks викликаються на звичайних повідомленнях, можна відкласти фікс).</li>
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</ul>
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<h2 id="_1">✅ Що вже зроблено<a class="headerlink" href="#_1" title="Permanent link">¶</a></h2>
|
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<ul>
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||
<li>STT контейнер перебудовано, health OK.</li>
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||
<li><code>_handle_photo</code> переписано на робочий pipeline.</li>
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<li>Router залишився на Dev-конфізі, але має профіль <code>llm_specialist_vision_8b</code>.</li>
|
||
</ul>
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||
<h2 id="_2">⏭️ Що перевірити одразу після старту нового чату<a class="headerlink" href="#_2" title="Permanent link">¶</a></h2>
|
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<ol>
|
||
<li>Надіслати голосове в будь-якого бота, пересвідчитись що gateway → STT → Router повертає текст і TTS-відповідь (дивитись логи <code>telegram-gateway</code> та <code>dagi-stt-service</code>).</li>
|
||
<li>Надіслати фото — очікувати осмислену відповідь від <code>specialist_vision_8b</code>.</li>
|
||
<li>Якщо потрібен vision fallback, перевірити Swapper/vision-encoder сервіси.</li>
|
||
</ol>
|
||
<blockquote>
|
||
<p>Якщо чат стартує з нуля, достатньо скопіювати цей блок у промт агента, щоб він миттєво зрозумів поточний стан системи.</p>
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</blockquote>
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