sync: auto-sync from HOWARD-HOME at 2026-04-23 06:21:23

Author: Howard Enos
Machine: HOWARD-HOME
Timestamp: 2026-04-23 06:21:23

.claude/memory/feedback_ollama_tier0_routing.md

@@ -0,0 +1,46 @@
+---
+name: Route Tier-0 tasks through Ollama (Mike's ClaudeTools design intent)
+description: Drafts, summaries, classifications, extractions MUST go through Ollama per Mike's tiered-model architecture. Don't default to Claude inference for low-stakes text generation.
+type: feedback
+---
+
+Route Tier-0 tasks (summaries, classifications, drafts, extractions) through Ollama. Not optional — this is how Mike designed ClaudeTools to work.
+
+**Why:** Mike built the tiered-model architecture (`CLAUDE.md` Model Routing section + `.claude/OLLAMA.md`) deliberately. Tier 0 is free + fast + private. Defaulting to Claude for every drafting task burns context window and Anthropic tokens on work that qwen3:14b does fine.
+
+**How to apply:**
+- Drafting emails, session-log paragraphs, status-update sentences, commit-message first-drafts → qwen3:14b
+- Summarizing long output (Graph JSON, PowerShell transcripts, log tails) → qwen3:14b
+- Extracting structured data from text → qwen3:14b
+- Suggesting refactors / generating docstrings → codestral:22b (then review)
+- NEVER for: auth decisions, credential handling, production migrations, security review, citation work, production-change scripts
+
+**Endpoint resolution (updated 2026-04-22 in `.claude/OLLAMA.md`):**
+```bash
+if curl -s -m 2 http://localhost:11434/api/tags >/dev/null 2>&1; then
+    OLLAMA="http://localhost:11434"
+else
+    OLLAMA="http://100.92.127.64:11434"
+fi
+```
+
+HOWARD-HOME has the canonical models loaded locally (qwen3:14b, codestral:22b, nomic-embed-text, plus bonus qwen3-coder:30b) — so HOWARD-HOME uses local Ollama, not Mike's. Zero Tailscale hop.
+
+**Call pattern for qwen3 — use `/api/chat` with `think:false`**, NOT `/api/generate`. qwen3 on generate endpoint dumps reasoning into internal thinking tokens and returns empty `response` field. Chat endpoint with `think:false` returns clean content in `message.content`:
+
+```python
+body = json.dumps({
+  'model':'qwen3:14b',
+  'messages':[{'role':'user','content': prompt}],
+  'stream':False,
+  'think':False
+}).encode()
+# POST to OLLAMA + '/api/chat'
+# Read res['message']['content']
+```
+
+Codestral doesn't need `think:false` — just use it on `/api/chat` normally.
+
+Cold-start ~30-50s on first call per model per session; warm calls 1-5s.
+
+**Incident 2026-04-22:** Spent an entire Cascades rollout session (G1 hygiene, orphan cleanup, risk register, synology discovery, etc.) without routing a single task through Ollama despite many drafting opportunities (report drafts, summary text, email drafts). Howard called this out: "just make sure ollama is being used as mike has designed claudetools to work."