chore(release): v0.8.33 — sub-agent and RLM renovation with persistent sessions

- Persistent RLM sessions (rlm_open/rlm_eval/rlm_close) with bounded REPL helpers
- Fork-aware sub-agent sessions (agent_open/agent_eval/agent_close) with handle_read
- Shared handle_read storage with slice/range/count/JSONPath projections
- Slash-command routing: /rlm, /agent, /relay (/接力) for handoff prompts
- Sidebar renamed to "Work" tab, consistent across Plan/Agent/YOLO modes
- Tool papercuts: file_search excludes, grep_files strings, fetch_url JSON,
  edit_file fuzz, exec_shell merged stdout/stderr, revert_turn no-op reject
- CLI reasoning-effort honoured on non-auto exec routes (#1511 @h3c-hexin)
- Edit-file replacement boundaries clarified (#1516)
- Pandoc output validated before probing (#1523)
- Running turns steerable/repaintable (#1533, #1537)
- Tasks/Activity Detail calmer under load
- npm retry timeout hint (#1538 @reidliu41)
- Issue templates improved (#1525 @reidliu41)
- Shell: kill process group to prevent UI freeze (#828 @CrepuscularIRIS)
- TUI: ignore leaked SGR mouse reports in composer (#1421 @reidliu41)
- Footer: keep chips within available width (#1417 @Wenjunyun123)
- Session picker: scope Ctrl+R to current workspace (#1395 @LinQ)
- Removed stale competitive-analysis doc
- Prompts/docs teach only new tool names
This commit is contained in:
Hunter Bown
2026-05-12 19:54:08 -05:00
parent 503551ddec
commit 99c6b22e83
80 changed files with 6158 additions and 2084 deletions
+1 -1
View File
@@ -18,7 +18,7 @@ Run `/mode` to open the mode picker, or switch directly with `/mode agent`,
- **Agent**: multi-step tool use. Approvals for shell and paid tools (file writes are allowed without a prompt).
- **YOLO**: enables shell + trust mode and auto-approves all tools. Use only in trusted repos.
All three modes have access to the `rlm` tool. Inside its Python REPL, `llm_query_batched` fans out 116 cheap parallel child calls pinned to `deepseek-v4-flash`. The model reaches for it when work is decomposable.
All three modes have access to persistent RLM sessions through `rlm_open`, `rlm_eval`, `rlm_configure`, and `rlm_close`. Inside an RLM Python REPL, `sub_query_batch` fans out 1-16 cheap parallel child calls pinned to `deepseek-v4-flash`. The model reaches for it when work is too large or repetitive for the parent transcript.
## Compatibility Notes