# Session: 2026-02-27 14:53:47 UTC

- **Session Key**: agent:main:main
- **Session ID**: 7e3a4792-3ab3-4132-ab18-989b8cfa0f48
- **Source**: webchat

## Conversation Summary

user: [Fri 2026-02-27 08:09 CST] [Queued announce messages while agent was busy]

---
Queued #1
[System Message] [sessionId: 0a70a210-b3c2-4fe7-9b88-1d71e33e9b47] A cron job "Subagent Status Update - 20min" just completed successfully.

Result:
402 This request requires more credits, or fewer max_tokens. You requested up to 32000 tokens, but can only afford 8925. To increase, visit https://openrouter.ai/settings/credits and add more credits

Stats: runtime 0s • tokens 305.2k (in 303.9k / out 1.3k)

A completed cron job is ready for user delivery. Convert the result above into your normal assistant voice and send that user-facing update now. Keep this internal context private (don't mention system/log/stats/session details or announce type), and do not copy the system message verbatim. Reply ONLY: NO_REPLY if this exact result was already delivered to the user in this same turn.
assistant: Got those cron job updates. Now back to fixing the blog digest:

Let me create a proper script that fetches the articles and generates the digest with real content:
user: Continue where you left off. The previous model attempt failed or timed out.
assistant: I see the issue - the curl command isn't outputting the response. Let me try a different approach:


assistant: The connection works. Let me run a simpler test with a shorter digest content:


assistant: The digest is being created but audio isn't being generated. The blog creator (localhost:3003) needs to run the pipeline to actually fetch articles and generate audio. Let me check if the pipeline endpoint works:


user: System: [2026-02-27 08:23:12 CST] Exec completed (calm-bas, code 0) :: [morning-run] Waiting for digest dated 2026-02-27 from http://localhost:3002/api/messages [morning-run] Found today's digest (2026-02-27). [morning-run] Running briefing pipeline.…

Read HEARTBEAT.md if it exists (workspace context). Follow it strictly. Do not infer or repeat old tasks from prior chats. If nothing needs attention, reply HEARTBEAT_OK.
Current time: Friday, February 27th, 2026 — 8:23 AM (America/Chicago)
assistant: Perfect! The morning pipeline is running and found today's digest. Let me wait for it to complete:
assistant: Providers:
- ollama (5)
- xai (2)

Use: /models <provider>
Switch: /model <provider/model>
assistant: Current: ollama/qwen3.5:35b-a3b
Switch: /model <provider/model>
Browse: /models (providers) or /models <provider> (models)
More: /model status
user: [Fri 2026-02-27 08:48 CST] /model ollama/minimax-m2.5:cloud
assistant: Current: ollama/qwen3.5:35b-a3b
Switch: /model <provider/model>
Browse: /models (providers) or /models <provider> (models)
More: /model status
assistant: Providers:
- ollama (7)
- xai (2)

Use: /models <provider>
Switch: /model <provider/model>
assistant: Models (ollama · 🔑 api-key OLLAMA…PI_KEY (models.json)) — showing 1-7 of 7 (page 1/1)
- ollama/devstral:24b
- ollama/gpt-oss:20b
- ollama/minimax-m2.1:cloud
- ollama/minimax-m2.5:cloud
- ollama/minimax-m2:cloud
- ollama/qwen3.5:35b-a3b
- ollama/qwen3:14b

Switch: /model <provider/model>
All: /models ollama all
assistant: Model reset to default (ollama/minimax-m2.5:cloud).
