[Evolution] APAW Model Optimization May 2026
Agent Model Evolution
Research date: 2026-05-24
Goals
- Migrate 13 agents to higher-performing Ollama Cloud models
- Fix 2 agents on non-Ollama-Cloud models (qwen3.6-plus)
- Fill 7 data gaps (missing SWE-bench scores)
- A/B test idle models: qwen3.5-122b, gemma4-27b, deepseek-v4-flash
Metrics
- 38 total agents
- 15 benchmarked models
- 6 models assigned, 9 models idle (wasted potential)
- 8 agents on unverified models (no SWE score)
Completed Migrations
| Agent | From | To | Priority |
|---|---|---|---|
| prompt-optimizer | qwen3.6-plus | qwen3.5-122b | CRITICAL |
| memory-manager | qwen3.6-plus | deepseek-v4-pro-max | CRITICAL |
| system-analyst | glm-5.1 | deepseek-v4-pro-max | HIGH |
| evaluator | glm-5.1 | qwen3.5-122b | HIGH |
| pipeline-judge | glm-5.1 | kimi-k2.6 | HIGH |
| workflow-architect | glm-5.1 | qwen3.5-122b | HIGH |
| markdown-validator | deepseek-v4-pro-max | nemotron-3-nano | MEDIUM |
| release-manager | glm-5.1 | kimi-k2.6 | MEDIUM |
| capability-analyst | glm-5.1 | deepseek-v4-pro-max | MEDIUM |
| browser-automation | qwen3-coder | deepseek-v4-flash | MEDIUM |
| history-miner | nemotron-3-super | qwen3.5-122b | LOW |
Open Tasks
- A/B benchmark: qwen3.5-122b vs glm-5.1 for evaluator
- A/B benchmark: gemma4-27b vs qwen3-coder for browser-automation
- A/B benchmark: deepseek-v4-flash vs qwen3-coder for browser-automation
- Instrument pipeline-judge wall-clock latency tracking
- Collect agent-executions.jsonl performance logs
No due date
0% Completed
