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authorAdam Malczewski <[email protected]>2026-06-01 07:51:23 +0900
committerAdam Malczewski <[email protected]>2026-06-01 07:51:23 +0900
commitdbc3b36f6d94d719cb1a07074e5d74ce22d2fad3 (patch)
tree8454bd10191ce1ccbe9740b5778ee1e9679f6339 /notes
parent8b9533c22a47bbf6f916667e2c25d8e8e419da37 (diff)
downloaddispatch-dbc3b36f6d94d719cb1a07074e5d74ce22d2fad3.tar.gz
dispatch-dbc3b36f6d94d719cb1a07074e5d74ce22d2fad3.zip
fix(queue): consume queued messages after a turn ends (start a new turn)
A message queued while the agent was mid-turn was only handled if it arrived DURING a tool batch (injected as a [USER INTERRUPT]). If it landed after the last tool call — or the turn had no tools — the agent silently appended it to history and ended the turn with no response, so it sat there unanswered. This affected both user-queued messages and agent-queued ones (send_to_tab). - agent.ts: stop the end-of-turn drain that swallowed trailing queued messages into history. They now stay on the queue. - agent-manager: after a CLEAN turn settles, continueFromQueue() drains the queue and starts a fresh turn to answer it. Skipped on a user-stopped or errored turn (queue preserved for the next send). - Loop safety: continuation draws from the existing autoWakeBudget, so a runaway agent<->agent chain is bounded; human sends refill it, so human conversations are never throttled. - dequeueMessages now tags message-consumed with reason "interrupt" | "continuation"; the frontend collapses continuation- consumed queued bubbles into the next turn's initiator row (avoids the linger/dup traps documented in queue-interrupt-reconcile-edge-cases.md). - Tests: agent (no-swallow + interrupt regression), agent-manager (continuation, no-op when empty, user-stop preserves queue, bounded loop), frontend (continuation bubble becomes next initiator). - wishlist: remove the now-fixed item.
Diffstat (limited to 'notes')
-rw-r--r--notes/wishlist.md4
1 files changed, 0 insertions, 4 deletions
diff --git a/notes/wishlist.md b/notes/wishlist.md
index 8c3f5ef..f4ecbeb 100644
--- a/notes/wishlist.md
+++ b/notes/wishlist.md
@@ -19,8 +19,6 @@
- **Track token usage in a tab.** Display token usage (e.g. prompt/completion/total tokens) for the chat within each tab.
-- **Fix queue not being consumed after the AI finishes its turn.** When the AI completes its turn, a queued user message is just attached to the chat without continuing the conversation — the turn ends instead of consuming the queue and generating a response. The queued message should kick off a new turn.
-
- **Compaction tool.** A tool to compact/summarize the conversation history to reduce context size while preserving important information.
- **Make the plus button on tabs always on top and to the left.** The "+" button for creating new tabs is currently mixed in with the scrollable tab list. It should be fixed/absolute positioned at the top-left of the tab bar so it's always visible regardless of horizontal scrolling.
@@ -45,5 +43,3 @@
- **"User agents" — summon counterpart to subagents.** Currently agents can summon subagents which are owned by a parent tab (they appear indented under the parent in the tab bar). Add a "user agent" summon variant that spawns a standard top-level tab owned by the user rather than by another tab. This gives agents the ability to open new independent tabs (like a user would), enabling more complex multi-agent workflows where spawned agents persist as first-class tabs.
- **Fix key switching not migrating context correctly.** When switching API keys (e.g. hitting usage limits on one key and switching to another), the new agent appears to receive only the initial system prompt — all subsequent thinking, tool calls, and conversation history are lost. The full chat context including all turns needs to be properly passed to the new key/model so the conversation continues seamlessly.
-
-- **Worktree workflow skill.** A skill for orchestration agents that enables executing several plans or feature implementations in parallel using git worktrees. Each worktree gets its own isolated checkout of the repo at a given branch/commit, so multiple agents can work independently on different features without stepping on each other. The orchestration agent manages creating worktrees, assigning tasks to sub-agents per worktree, reviewing results, and merging back.