Complete rewrite organized around model families, agent roles,
task categories, and selection priority rules.
- Model families: Claude-like (Kimi, GLM/Big Pickle), GPT,
different-behavior (Gemini, MiniMax), speed-focused (Grok, Spark)
- Agent roles: Claude-optimized, dual-prompt, GPT-native, utility
- gpt-5.3-codex-spark: extremely fast but compacts too aggressively
- Big Pickle = GLM 4.6
- Explicit guidance: do not upgrade utility agents to Opus
- opencode models / opencode auth login references at top
- Link to orchestration system guide for task categories
Expand model-specific prompt routing section with insights from
the actual Prometheus GPT prompt development session:
- Why Claude vs GPT models need fundamentally different prompts
- Principle-driven (GPT) vs mechanics-driven (Claude) approach
- "Decision Complete" concept from Codex Plan Mode
- Why more rules help Claude but hurt GPT (contradiction surface)
- Concrete size comparison (1100 lines Claude vs 300 lines GPT)
Rewrite agent-model-matching.md as a technical reference that:
- Documents actual fallback chains from model-requirements.ts
- Explains model-specific prompt routing (Prometheus/Atlas GPT detection)
- Covers safe vs dangerous model substitutions with rationale
- Includes task categories (visual-engineering, deep, quick, etc.)
- Guides agents on how to explain model choices to users
- Adds provider priority chain
Also update installation.md to reference the guide when users
want custom model configuration, with explanation of what is
safe to change and why.
- Add docs/guide/agent-model-matching.md with TL;DR table, detailed
breakdown per agent, configuration examples, decision tree, common
pitfalls, and default fallback chains
- Update README.md to reference the guide in TOC, Just Install This
section, and Features overview