# Session: 2026-03-05 18:03:21 UTC

- **Session Key**: agent:main:main
- **Session ID**: 3897fc57-18d0-4c26-83f1-4839e803504e
- **Source**: telegram

## Conversation Summary

assistant: Those are inside the `_ollama_generate` helper methods themselves — that's correct, they're the low-level callers. All the high-level code now routes through `_model_generate`. Let me restart the service:
assistant: Service is running. Refresh the page — you'll now see all your models organized in groups:

**Vision Models:**
- ⚡ Fast: 0.8B, 2B, 4B, LLaVA
- 🎯 Quality: Qwen2.5-VL 7B, Qwen3-VL 8B, Qwen3 8B/14B, DeepSeek-R1 14B
- 🧠 Best: Qwen3 32B, 30B MoE, Coder 30B, Flash 30B, GPT-OSS 20B/120B, MiniMax M2.5
- 🔧 External: Jess (35B via llama.cpp)

**Summary Models:** Same full roster from 0.8B up to MiniMax and Jess.

When you pick Jess, it routes to llama.cpp on port 18080. For vision tasks with Jess selected, it auto-falls back to 4B for the image analysis (since llama.cpp doesn't support image input) but uses the 35B for the summary/understanding.
user: [media attached: 2 files]
[media attached 1/2: /home/pmello/.openclaw/media/inbound/file_131---aa85ad4c-29e0-4c52-b290-e81a6385b2e4.jpg (image/jpeg) | /home/pmello/.openclaw/media/inbound/file_131---aa85ad4c-29e0-4c52-b290-e81a6385b2e4.jpg]
[media attached 2/2: /home/pmello/.openclaw/media/inbound/file_132---f05f7afb-ca54-41f6-ae24-6ee125f122d9.jpg (image/jpeg) | /home/pmello/.openclaw/media/inbound/file_132---f05f7afb-ca54-41f6-ae24-6ee125f122d9.jpg]
To send an image back, prefer the message tool (media/path/filePath). If you must inline, use MEDIA:https://example.com/image.jpg (spaces ok, quote if needed) or a safe relative path like MEDIA:./image.jpg. Avoid absolute paths (MEDIA:/...) and ~ paths — they are blocked for security. Keep caption in the text body.
Conversation info (untrusted metadata):
```json
{
  "message_id": "3913",
  "sender_id": "7827979987",
  "sender": "P M",
  "timestamp": "Thu 2026-03-05 11:14 EST"
}
```

Sender (untrusted metadata):
```json
{
  "label": "P M (7827979987)",
  "id": "7827979987",
  "name": "P M"
}
```

Failing on my phone and also need beater real time updates kinda like how the computer use does and stuff
user: [media attached: 3 files]
[media attached 1/3: /home/pmello/.openclaw/media/inbound/file_132---f04edd96-cef8-4c71-bd92-f2b0c0fe04ca.jpg (image/jpeg) | /home/pmello/.openclaw/media/inbound/file_132---f04edd96-cef8-4c71-bd92-f2b0c0fe04ca.jpg]
[media attached 2/3: /home/pmello/.openclaw/media/inbound/file_131---5b61decc-2e4c-469a-adc1-cdcb33e485bd.jpg (image/jpeg) | /home/pmello/.openclaw/media/inbound/file_131---5b61decc-2e4c-469a-adc1-cdcb33e485bd.jpg]
[media attached 3/3: /home/pmello/.openclaw/media/inbound/file_133---1c5e0150-2015-4848-98aa-ccd010d05eda.jpg (image/jpeg) | /home/pmello/.openclaw/media/inbound/file_133---1c5e0150-2015-4848-98aa-ccd010d05eda.jpg]
To send an image back, prefer the message tool (media/path/filePath). If you must inline, use MEDIA:https://example.com/image.jpg (spaces ok, quote if needed) or a safe relative path like MEDIA:./image.jpg. Avoid absolute paths (MEDIA:/...) and ~ paths — they are blocked for security. Keep caption in the text body.
Conversation info (untrusted metadata):
```json
{
  "message_id": "3916",
  "sender_id": "7827979987",
  "sender": "P M",
  "timestamp": "Thu 2026-03-05 11:23 EST"
}
```

Sender (untrusted metadata):
```json
{
  "label": "P M (7827979987)",
  "id": "7827979987",
  "name": "P M"
}
```

The following are failing, all should work remotely from phone but also this should all be reliable please fix this ensure this whole system is cohesive and self healing
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "3920",
  "sender_id": "7827979987",
  "sender": "P M",
  "timestamp": "Thu 2026-03-05 12:20 EST"
}
```

Sender (untrusted metadata):
```json
{
  "label": "P M (7827979987)",
  "id": "7827979987",
  "name": "P M"
}
```

Back yourself up prepare for context window clearing
assistant: OK so Video Understanding IS running and accessible via Tailscale. The issues from the screenshots are:

1. **Video Understanding** — showing "Analyzing" but the progress/status updates aren't coming through properly on mobile
2. **Computer Use V2** — failing on mobile
3. **Health Monitor (port 28)** — showing services offline 

The core problem across all of these is the same: **hardcoded `localhost` URLs in the frontend code**. Let me fix ALL hub pages at once:
assistant: Good, no more localhost. Now let me check the other hub pages that make API calls — the health monitor, research lab, etc:
assistant: No more hardcoded localhost anywhere. Now let me check the actual API URL patterns — some pages might have the wrong port or missing dynamic host:
assistant: The health monitor is trying to reach each service's port directly from the phone browser. That's the problem — the phone can reach the Spark via Tailscale, but it's hitting each port separately. Let me check if the ports are actually accessible:
assistant: Tailscale accepts all traffic. The services should all be reachable. Let me do a real test from the Tailscale IP:
assistant: All ports are reachable. The 404s are just because some services don't have a `/health` endpoint at root. The key services (8095 computer use, 8099 video) are responding. 

Now let me write the comprehensive backup and fix everything properly. First, backup:
assistant: Backup pushed. Now let me write the comprehensive daily log and update MEMORY.md:
assistant: All backed up — both git committed and synced to the backup repo. Ready for context window clear.

**What needs attention in the next session:**
1. **Fix failing services on mobile** — Stats API (8091) crash-looping, needs WorkingDirectory fix
2. **Better real-time updates for Video Understanding** — Pat wants step-by-step progress like Computer Use shows
3. **Self-healing watchdog** — Pat wants all services to auto-recover, not just stay crashed
4. **Test Computer Use V2** with DuckDuckGo fix — verify it actually completes tasks now
5. **Video Understanding tested end-to-end** — confirm YouTube analysis works from phone
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "3929",
  "sender_id": "7827979987",
  "sender": "P M",
  "timestamp": "Thu 2026-03-05 13:02 EST"
}
```

Sender (untrusted metadata):
```json
{
  "label": "P M (7827979987)",
  "id": "7827979987",
  "name": "P M"
}
```

Prep for context window clear
assistant: All backed up and synced. Ready for clear. ✅

**Resume priorities for next session** (in `memory/2026-03-05.md`):
1. Fix Stats API (8091) crash loop
2. Better real-time progress in Video Understanding
3. Self-healing service watchdog
4. Test Computer Use V2 DuckDuckGo fix end-to-end
5. Test Video Understanding from phone end-to-end