Aquesta és una versió anterior. La versió actual és la 0.6.9. OpenFang 0.6.9 · Data de publicació:
Fitxers d’instal·lació 0.6.3
| 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
This release resolves 4 bugs across LLM drivers, channels, and kernel hot-reload, plus a CI tooling bump. 2540 tests passing, zero clippy warnings, zero regressions.
LLM Drivers
- #1098 Reasoning models retain state across turns. Thinking blocks are now parsed, persisted, and replayed across all three drivers (Anthropic with thinking_signature, Gemini reasoning, OpenAI o1/o3). Round-trip tests added. Models like Claude Sonnet extended thinking, Gemini 2.5 Flash, DeepSeek R1, Qwen, GPT o1 no longer lose reasoning state between turns.
Channels
- #1103 Slack envelope_id deduplication. Socket Mode events now dedup against a 60s TTL cache (10000-entry soft cap). Connection rotation no longer causes double-processing of the same event.
- #1133 Telegram REACTION_TOO_MANY removed from terminal-error list. The transient rate-limit reaction error is no longer cached as permanent rejection. Future reactions land once the cap clears.
Kernel
- #1129 Subprocess timeout hot-reload. Edits to subprocess_timeout_secs in default_model and fallback_providers now propagate without restart. Follow-up to #1128 in v0.6.1.
CI
- #1061 softprops/action-gh-release bumped from v2 to v3 (Node 24 runtime).
Stats
- 2540 tests passing (+23 from v0.6.2)
- Zero clippy warnings (--workspace --all-targets)
- Zero regressions
Full Changelog: https://github.com/RightNow-AI/openfang/compare/v0.6.2...v0.6.3
