Updated across README (all locales), docs/guide/, docs/reference/,
docs/examples/, AGENTS.md files, and test expectations/snapshots.
The deep category and multimodal-looker still use gpt-5.3-codex as
those are separate from the hephaestus agent.
- Upgrade minimax-m2.5 → minimax-m2.7 (latest model) across all agents and categories
- Replace minimax-m2.5-free with minimax-m2.7-highspeed (optimized speed variant)
- Expand MiniMax fallback coverage to atlas, sisyphus-junior, writing, and unspecified-low
- Add isMiniMaxModel() detection function in types.ts for model family detection
- Update all tests (58 passing) and documentation
The GitHub repository was renamed from oh-my-opencode to oh-my-openagent,
but all documentation, scripts, and source code references still pointed
to the old repository name. This caused confusion for users who saw
'oh-my-opencode' in docs but a different repo name on GitHub.
Updated all references across:
- README files (en, ko, ja, zh-cn, ru)
- CONTRIBUTING.md
- docs/ (installation, overview, configuration, etc.)
- Source code (schema URLs, GitHub API calls, issue links)
- Test snapshots
The npm package name remains 'oh-my-opencode' (unchanged).
Fixes: https://x.com/Dhruv14588676/status/2031216617762468348
Sisyphus can now fall back through Kimi and OpenAI models when Claude
is unavailable, enabling OpenAI-only users to use Sisyphus directly
instead of being redirected to Hephaestus.
Runtime chain: claude-opus-4-6 max → k2p5 → kimi-k2.5 → gpt-5.4 medium → glm-5 → big-pickle
CLI chain: claude-opus-4-6 max → k2p5 → gpt-5.4 medium → glm-5
- Update DEFAULT_CATEGORIES to use 'openai/gpt-5.4-high' directly instead of separate model + variant
- Add helper functions (isExplicitHighModel, getExplicitHighBaseModel) to preserve explicit high models during fuzzy matching
- Update category resolver to avoid collapsing explicit high models to base model + variant pair
- Update tests to verify explicit high model handling in both background and sync modes
- Update documentation examples to reflect new configuration
🤖 Generated with OhMyOpenCode assistance
Align runtime defaults, tests, docs, and generated artifacts with the newer GPT-5.4 baseline. Keep think-mode and prompt-routing expectations consistent after the model version bump.
Completely restructure the documentation to explain model-agent matching
through the "Models Are Developers" lens:
- Add narrative sections on Sisyphus (sociable lead) and Hephaestus (deep specialist)
- Explain Claude vs GPT thinking differences (mechanics vs principles)
- Reorganize agent profiles by personality type (communicators, specialists, utilities)
- Simplify model families section
- Add "About Free-Tier Fallbacks" section
- Move example configuration to customization section
This makes the guide more conceptual and memorable for users customizing
agent models.
🤖 Generated with assistance of OhMyOpenCode
- Add Quick Start section with clear installation link
- Add 'How It Works: Agent Orchestration' section linking to orchestration.md
- Add 'Agent Model Matching' section with JSON configuration examples
- Restructure content flow for better readability
- Add example JSON config to agent-model-matching.md
- Maintain original voice and strong opinions while improving organization
- All links now properly reference related docs
Restore docs/guide/agent-model-matching.md that was accidentally deleted
in commit 880c5e3b (docs restructure). Updated broken links to point to
current documentation structure.
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
