title: Session death spiral root cause analysis

insight: The session crashed because 7 background agents ran simultaneously, causing context to jump from 'fine' to 'critical' too fast. Pre-compaction flush at 60% wasn't enough safety margin.

reasoning_chain: Each consumed context when outputs were checked

reasoning_chain: Context hit limit while agents still running

reasoning_chain: /compact failed with 'Conversation too long'

reasoning_chain: Pre-compaction flush should have triggered at 60% but agent output flooded too fast

reasoning_chain: Solution: harder safety margin at 50%, max 3-4 agents

source_context: 7 background agents were running simultaneously — each consuming context when their outputs were checked. Context hit limit while agents were still running. The safety margin was eaten by agent output flooding.


title: AIVA lacks tool access despite glm-4.7-flash

insight: AIVA told Kinan 'I'm a text model, I can't run scripts' - she has the model but not the permissions. OpenClaw had native commands set to 'auto' leaving it to the model to decide, and IDENTITY.md never told AIVA she has system access.

reasoning_chain: AIVA responded 'I'm a text model, I can't run scripts'

reasoning_chain: commands.native was set to 'auto' (model decides)

reasoning_chain: IDENTITY.md didn't explicitly tell AIVA she owns the Mac Mini

reasoning_chain: Model defaults to conservative refusal without explicit permission

source_context: That's the problem — AIVA literally told you 'I'm a text model, I can't run scripts.' That's wrong. She has commands.native: 'auto' which should give her shell access, but she's clearly not using it.


title: AIVA model strategy - local soul, cloud reserve

insight: AIVA's core brain should stay glm-4.7-flash (local, free, uses Mac Mini power). OpenRouter cloud models available for heavy lifting but cost per-call. System is self-limiting - when credits hit zero, it just stops.

reasoning_chain: glm-4.7-flash runs locally on Ollama - free, always on

reasoning_chain: Mac Mini M4 has 24GB unified memory - 100% AIVA's

reasoning_chain: OpenRouter cloud models (Claude, Gemini) cost per-token

reasoning_chain: Prepaid credits - when zero, API calls fail but AIVA keeps running locally

reasoning_chain: No lockdown needed - self-limiting by design

source_context: OpenRouter is prepaid credits. When they run out, API calls just fail. No surprise bills, no overage. It's self-limiting.


title: Why glm-4.7-flash isn't perfect for AIVA

insight: glm-4.7-flash is good for chat but falls short on tool use/function calling - which AIVA needs to autonomously run commands on her Mac Mini.

reasoning_chain: glm-4.7-flash is fast, free, runs well on M4

reasoning_chain: Tool use/function calling is where it falls short

reasoning_chain: That's exactly why AIVA said 'I can't access your file system'

reasoning_chain: Better options: Qwen 2.5 14B/32B (trained for agentic tool use) or Mistral Small 24B

reasoning_chain: Research needed to find best fit for 24GB M4 with vision+tool requirements

source_context: glm-4.7-flash strengths: Fast, free, runs well on M4, solid general chat. Where it falls short: Tool use / function calling — which is exactly what AIVA needs to actually run commands.


title: Dashboard stack for Mac Mini monitoring

insight: Three-tier dashboard architecture: OpenClaw Gateway (18789) for built-in control, Studio (7001) for agent management, tugcantopaloglu monitoring (7777) for health/sessions. Plus HTML context tracker on Windows side.

reasoning_chain: Need real-time monitoring of AIVA and context

reasoning_chain: OpenClaw Studio gives agent management, approvals

reasoning_chain: tugcantopaloglu community dashboard gives health, costs, sessions

reasoning_chain: HTML context tracker for Command Centre session

reasoning_chain: All require LaunchAgents for persistence across reboots

reasoning_chain: Port conflicts resolved (7000 occupied by AirPlay, moved to 7777)

source_context: Monitoring dashboard is live too. Open: http://192.168.1.57:7777/. Your Mac Mini dashboard stack: Monitoring (7777), Studio (7001), Gateway (18789).


title: ClawdTalk voice calls unavailable for AU

insight: ClawdTalk Pro only supports US/CA voice calls - Australian numbers (+61) cannot receive voice calls. Must use direct Telnyx Call Control API path for AU calling.

reasoning_chain: Kinan called ClawdTalk number but it didn't answer

reasoning_chain: Discovered: ClawdTalk voice calls only available for US/CA numbers

reasoning_chain: Options: US forwarding number (janky) OR Direct Telnyx Call Control API (needs webhook)

reasoning_chain: OpenClaw voice-call plugin with Telnyx directly is fastest path

source_context: There it is — ClawdTalk voice calls are only available for US/CA numbers right now. Australian numbers (+61) aren't supported for voice calls yet.


title: Model requirements for AIVA

insight: AIVA needs a local model that supports both vision AND tool use - must fit in ~16GB on 24GB M4 Mac Mini. Research to benchmark Qwen2.5 vs Mistral Small vs alternatives.

reasoning_chain: 24GB M4 Mac Mini - ~8GB overhead = ~16GB for model

reasoning_chain: Q4 quantization allows 32B models in 16GB

reasoning_chain: AIVA needs tool use (function calling) to run autonomously

reasoning_chain: Research agent benchmark top 3 local models for tool+vision

reasoning_chain: glm-4.7-flash stays running while testing

source_context: tool use ands vision is important. Let me update the research agent with that requirement. Two research agents running - one for tool use models, one for vision+tool combo models.


title: AIVA Telegram unresponsive due to wrong chat ID

insight: AIVA wasn't responding to Kinan on Telegram because wrong chat IDs (1087488420, 477786847) were being used. Correct ID was 434761400 from AIVA config.

reasoning_chain: Found chat IDs 1087488420 and 477786847 in logs

reasoning_chain: Both were incorrect - messages dropped as 'orphaned'

reasoning_chain: Correct chat ID 434761400 found in AIVA config

reasoning_chain: Message successfully delivered with correct ID

source_context: The chat IDs 1087488420 and 477786847 that were failing were incorrect. Found Kinan's correct Telegram chat ID: 434761400 (from AIVA/aiva_config.env). Message successfully delivered.