Aquesta és una versió anterior. La versió actual és la 0.6.9. OpenFang 0.6.9 · Data de publicació:
Fitxers d’instal·lació 0.4.2
| Arquitectura | Tipus | Àmbit | Mida del fitxer | Baixa | SHA256 |
|---|---|---|---|---|---|
| 64 bits | ZIP → Portable | — | — | github.com | VirusTotal |
| ARM64 | ZIP → Portable | — | — | github.com | VirusTotal |
L’enllaç i l’SHA256 provenen del manifest comunitari del Gestor de paquets del Windows. Convé comparar el hash del fitxer baixat abans d’executar-lo.
Notes de la versió
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.
