type: custom

customType: model-snapshot

provider: kimi-coding

modelApi: anthropic-messages


type: message

role: user

type: text

text:
[cron:e56b8835-8122-45b9-ade5-a5ea652e1fc8 Canna: X Engagement (Every 15 min, 9AM-10PM EST)] 🧠 SMART ENGAGEMENT (15-min cycle)

Run the smart engagement script with image analysis:
```bash
docker exec canna pkill -9 chrome 2>/dev/null; rm -f /workspace/browser_profile/x_headed/SingletonLock 2>/dev/null; sleep 2
docker exec -e DISPLAY=:99 canna python3 /workspace/scripts/smart_engagement.py --replies 1 --likes 3
```

This script:
- Searches #FLMedicalTrees and related hashtags
- Only engages with tweets from last 24 hours
- Analyzes images with Gemini to detect product type
- Blocks dab mentions for flower products
- Tracks replied-to users to avoid spam

Report results.
Current time: Saturday, February 14th, 2026 — 5:45 PM (UTC)

Return your summary as plain text; it will be delivered automatically. If the task explicitly calls for messaging a specific external recipient, note who/where it should go instead of sending it yourself.


role: assistant

type: thinking

thinking:
The user is asking me to run a cron job that's already been configured. The cron job is for X/Twitter engagement for the CannaDeals FL marketing. Let me run the commands specified in the cron payload.

The command sequence:
1. Kill any existing chrome processes and clean up lock files
2. Run the smart_engagement.py script in the Docker container

I should execute these commands and report the results.

exec

type: toolCall

command: docker exec canna pkill -9 chrome 2>/dev/null; rm -f /workspace/browser_profile/x_headed/SingletonLock 2>/dev/null; sleep 2

api: anthropic-messages

stopReason: toolUse


role: toolResult

toolName: exec

text: (no output)

status: completed


thinking: Good, the cleanup command ran without errors. Now let me run the actual engagement script.

command: docker exec -e DISPLAY=:99 canna python3 /workspace/scripts/smart_engagement.py --replies 1 --likes 3


text: Command still running (session brisk-bison, pid 3447196). Use process (list/poll/log/write/kill/clear/remove) for follow-up.

status: running

sessionId: brisk-bison

tail:
🧠 Smart Engagement
🔍 dispensary haul


thinking: The command is running in the background. Let me wait a bit and then check on it.

process

action: poll


toolName: process

text:
🧠 Smart Engagement
🔍 dispensary haul

Process still running.

docker exec

aggregated:
🧠 Smart Engagement
🔍 dispensary haul


thinking: It's still running. Let me wait a bit more and check again.


text:
🧠 Smart Engagement
🔍 dispensary haul
📄 Found 9 tweets to check
  ⏭  Too old (Feb 9)
  ⏭  Too old (Jan 17)
  ⏭  Too old (Jan 17)
  ⏭  Too old (Jan 6)
  ⏭  Too old (Jan 3)
  ⏭  Too old (Jan 1)
  ⏭  Too old (Dec 31, 2025)
  ⏭  Too old (Dec 26, 2025)
  ⏭  Too old (Dec 19, 2025)

📊 Checked:9 L:0 R:0
   Skipped: News:0 NoImage:0

Process exited with code 0.


thinking:
The script ran successfully but didn't find any recent tweets to engage with - all 9 tweets found were too old (most from months ago). The script checked 9 tweets, skipped all of them due to age, and did 0 likes and 0 replies.

Let me report this back to the user.

text:
**X Engagement Run — Feb 14, 5:45 PM UTC**

| Metric | Result |
|--------|--------|
| **Search term** | "dispensary haul" |
| **Tweets found** | 9 |
| **Tweets checked** | 9 |
| **Likes sent** | 0 |
| **Replies sent** | 0 |
| **Status** | Completed |

**Details:**
- All 9 tweets were too old (ranging from Dec 2025 to Feb 9)
- No recent content (last 24h) found for this search term
- No spam blocks triggered

**Note:** The script is working correctly — it properly filtered out stale content. Consider expanding search terms or hashtags if we want more engagement opportunities during low-activity periods.

stopReason: stop