이전 버전입니다. 현재 최신 버전은 0.6.9입니다. OpenFang 0.6.9 · 출시일:
설치 파일 0.4.2
| 아키텍처 | 형식 | 설치 범위 | 파일 크기 | 다운로드 | SHA256 |
|---|---|---|---|---|---|
| 64비트 | ZIP → 포터블 | — | — | github.com | VirusTotal |
| ARM64 | ZIP → 포터블 | — | — | github.com | VirusTotal |
링크와 SHA256은 Windows 패키지 관리자 커뮤니티 매니페스트에서 가져왔습니다. 실행하기 전에 다운로드한 파일의 해시를 비교해 보십시오.
릴리스 노트
Bug Fixes
- LoopGuard poll detection (#603): Removed fragile cmd.len() < 50 heuristic. Poll detection is now purely keyword-based — long kubectl/docker commands are correctly identified.
- Custom model provider display (#581): Model switcher dropdown now shows provider:model format instead of just the display name.
- Telegram typing indicator (#571): Typing indicator now refreshes every 4 seconds continuously during LLM processing, instead of expiring after 5 seconds.
- "No agent selected" error (#569): Agents created via API are now immediately registered in the channel router's name cache.
- Tool calls denied by approval (#537): Denial message now includes guidance to use auto_approve = true in config.toml or --yolo flag.
- WhatsApp sender metadata (#597): MessageRequest and PromptContext now have sender_id/sender_name fields for identity-aware agents.
- LLM auth boot failure (#572): Already fixed in v0.4.0 (auto-detect fallback). Commented for users on older versions.
Enhancements
- NVIDIA NIM provider (#579): Added as OpenAI-compatible provider with 5 models (nemotron-70b, llama-3.1-405b/70b, mistral-large, nemotron-4-340b). Set NVIDIA_API_KEY to use.
- YOLO mode (#573): openfang start --yolo auto-approves all tool calls. Also configurable via auto_approve = true in [approval] section.
- Skill output persistence (#596): Tool/skill output cards in dashboard now default to expanded instead of collapsed, keeping results visible.
