5 Commits

Author	SHA1	Message	Date
m4	470cf75722	merge: bring upstream v0.3.0 (72 commits) into Ai4Sci fork ... Merged upstream/main (418abca, release v0.3.0) into our fork on a dedicated branch. 21 conflicting files resolved; main worktree untouched. Resolution policy and key decisions: - Keep Ai4Sci runtime endpoints, durable dispatch, workspace scopes and the HITL/DynamicReview approval chain (approval path is product-critical). - Adopt upstream model registry (llm/registry.py): our 136 model entries are a strict subset of upstream's 180, so dropping our inline table loses nothing and gains 44 new models. - Adopt upstream native EvoChatDeepSeek; drop our obsolete _patch_deepseek_reasoning_passback monkey patch. - Keep our six patches.py additions, ported onto upstream's new _OpenAICompatContent class: stable tool-call ids, tool-history sanitization, drop_reasoning_metadata, empty-SSE keepalive, extracted-document-text patch, _has_assistant_tool_protocol. - Keep our skill-budget middleware path (skills=None) instead of passing skills through, to avoid double loading. - Keep sanitized error labels (_safe_error_label) while adopting upstream's injected MiddlewareEventSink for fallback narration. - Keep port 3076 and the LANGGRAPH_SERVER_URL override; adopt upstream's host/probe-host handling and CONFIG_DRIFT_SINCE_LAUNCH. - Adopt upstream dependency stack: deepagents 0.7.6, langchain-quickjs 0.3.7, langgraph-api 0.14; keep our extra deps (rfc8785, pillow, firecrawl-anydoc, nest-asyncio). - Align call sites with upstream APIs: create_tool_selector_middleware now takes events= instead of track_stream_selection=.	2026-09-13 16:07:27 +08:00
m4	8376f56ab4	feat: native sandbox execution, dynamic review middleware, and workspace files ... Adds native sandbox execution runtime, dynamic review middleware, and workspace file handling, with supporting stream events, prompt, and scope registry changes plus architecture docs.	2026-08-19 20:00:09 +08:00
m4	5a581c78a2	feat: add scoped model runtime configuration ... Introduce provider, model, and invocation contracts with encrypted configuration persistence. Add web runtime fencing, route fallback, recovery middleware, workspace scoping, and comprehensive tests.	2026-08-14 22:03:04 +08:00
jfilipiuk	3a1dbf0a0f	feat: agent-teams part B - expert-skill backend mechanism (#370) ... * feat: add expert-skill schema and type filter to skill_manager * feat: fold installed expert skills into main-agent subagent registry * feat: add GET /api/teams listing expert skills for gallery * chore: cache SKILL.md body on SkillInfo, cleanup expert-container comments * fix: register skill_manager in expert-subagent tool_registry * fix: catch UnicodeDecodeError in expert-skill body loader * fix: guard expert subagent registration against name collisions * fix: skip expert registration when SKILL.md body is empty * fix: drop redundant str() guards on expert-skill frontmatter * fix: harden SKILL.md parsing on expert-registration hot path	2026-08-07 17:07:01 +01:00
jfilipiuk	7214d4099d	feat: expose model registry at GET /api/models (#308) ... * feat: expose model registry at GET /api/models * fix: include Ollama models in /api/models endpoint * fix: honor env vars override in /api/models endpoint * fix: offload get_effective_config to thread to satisfy blockbuster --------- Co-authored-by: Xi Zhang <106144707+X-iZhang@users.noreply.github.com>	2026-06-26 22:48:37 +01:00