backend/conversations.py

@@ -210,6 +210,16 @@ _MEMORY_RE = re.compile(
 # action happened, and stamp it with that turn's timestamp. These derived values
 # are merged non-destructively under `lifecycleAuto` (the live sidecar wins).
 #
+# The actual deploy commands (as opposed to the `conv-meta ... deployed` stamp
+# below, which only *records* one after the fact) — reused to detect a deploy
+# in flight, see `_is_deploy_call`.
+_DEPLOY_CMD_RE = re.compile(
+    r"\bdeploy-html\b"
+    r"|\b(?:npm|pnpm|yarn)\s+(?:run\s+)?deploy\b"
+    r"|\bzipgo\s+deploy\b"
+    r"|\bmake\s+deploy[\w.]*\b"
+    r"|\bdeploy[\w.-]*\.sh\b")
+
 # Each pattern matches a command/skill-name string; a hit lights its stage(s).
 _LIFECYCLE_PATTERNS: list[tuple[str, re.Pattern]] = [
     # commit-homelab / commit-project both commit *and* push to Gitea.
@@ -219,12 +229,7 @@ _LIFECYCLE_PATTERNS: list[tuple[str, re.Pattern]] = [
     ("pushed",    re.compile(r"\bgit\b[^\n|&;]*\bpush\b")),
     ("merged",    re.compile(r"\bgit\s+merge\b")),
     # deploy paths: skill/alias, npm/pnpm/yarn deploy, zipgo, make deploy, *.sh.
-    ("deployed",  re.compile(
-        r"\bdeploy-html\b"
-        r"|\b(?:npm|pnpm|yarn)\s+(?:run\s+)?deploy\b"
-        r"|\bzipgo\s+deploy\b"
-        r"|\bmake\s+deploy[\w.]*\b"
-        r"|\bdeploy[\w.-]*\.sh\b")),
+    ("deployed",  _DEPLOY_CMD_RE),
     ("notified",  re.compile(r"\b(?:notify-done|notify-ask|notify\.sh)\b")),
     # explicit conv-meta stamps (e.g. `conv-meta.sh committed`).
     ("committed", re.compile(r"\bconv-meta(?:\.sh)?\b[^\n|&;]*\bcommitted\b")),
@@ -280,6 +285,16 @@ def _lifecycle_stages(name: str | None, inp: dict) -> set[str]:
     return stages
 
 
+def _is_deploy_call(name: str | None, inp: dict) -> bool:
+    """True if this tool call itself performs (or wraps) a deploy — used to
+    detect one in flight, unlike `_lifecycle_stages`'s "deployed" hit, which
+    also fires on the post-hoc `conv-meta ... deployed` stamp."""
+    if name == "Skill" and inp.get("skill") == "deploy-html":
+        return True
+    cmd = inp.get("command")
+    return isinstance(cmd, str) and bool(_DEPLOY_CMD_RE.search(cmd))
+
+
 def _bucket(tool: str | None) -> str:
     return TOOL_BUCKETS.get(tool or "", "tool")
 
@@ -672,6 +687,10 @@ class ParserState:
         self._turn_item: dict | None = None
         # Open Task/Agent calls: an entry here *is* a running subagent.
         self.agent_calls: dict[str, dict] = {}
+        # Set while a deploy command (Bash or the deploy-html skill) has been
+        # issued and hasn't returned yet — cleared on its tool_result.
+        self.deploying_since: str | None = None
+        self._deploying_tool_use_id: str | None = None
         # Skill card awaiting its injected SKILL.md body.
         self.pending_skill: dict | None = None
         # Timestamp of the previous record (assistant latency baseline).
@@ -850,6 +869,9 @@ class ParserState:
                     for stage in _lifecycle_stages(b.get("name"), inp):
                         if ts and (stage not in self.lifecycle or ts > self.lifecycle[stage]):
                             self.lifecycle[stage] = ts
+                    if b.get("id") and _is_deploy_call(b.get("name"), inp):
+                        self.deploying_since = ts
+                        self._deploying_tool_use_id = b["id"]
                     if b.get("name") == "Skill":
                         sk = (b.get("input") or {}).get("skill")
                         if sk:
@@ -1101,6 +1123,9 @@ class ParserState:
                             self.agent_calls.pop(b["tool_use_id"], None)
                         elif call is not None:
                             call["background"] = True
+                        if b.get("tool_use_id") == self._deploying_tool_use_id:
+                            self.deploying_since = None
+                            self._deploying_tool_use_id = None
                         if "node_type: memory" in rtext:
                             self.memories_read.update(_MEMORY_RE.findall(rtext))
                         if self.full:
@@ -1235,6 +1260,7 @@ class ParserState:
             "worktreesAuto": list(self.worktrees.values()),
             "tasks": list(self.tasks.values()),
             "runningAgents": list(self.agent_calls.values()),
+            "deploying": bool(self.deploying_since),
             "lifecycleAuto": self.lifecycle,
             "memoriesRead": sorted(self.memories_read),
             "doneMarker": bool(_DONE_RE.search(self.last_assistant_text)),

backend/main.py

@@ -988,6 +988,16 @@ def _running_agents(summary: dict, state: str | None = None) -> list[dict]:
     return ra if st == "running" else []
 
 
+def _is_deploying(summary: dict, state: str | None = None) -> bool:
+    """True while this conversation has a deploy command in flight (issued, no
+    tool_result yet) — gated the same way as `_running_agents`: a dangling call
+    left open by an interrupted/dead run isn't actually deploying anymore."""
+    if not summary.get("deploying"):
+        return False
+    st = state if state is not None else _conv_meta(summary).get("state")
+    return st == "running"
+
+
 def _sidechain_state(ap: pathlib.Path) -> str | None:
     """A subagent's own lifecycle state: it runs exactly as long as the parent's
     Task call is still open. `None` if `ap` isn't a subagent transcript.
@@ -1262,6 +1272,7 @@ def _conversation_cards(full: bool) -> list[dict]:
         out.append({"id": cid, **{k: s.get(k) for k in keys},
                     "title": _conv_title(s),
                     "runningAgents": _running_agents(s, m.get("state")),
+                    "deploying": _is_deploying(s, m.get("state")),
                     "skillsUsed": skills_used,
                     "agentsUsed": agents_by_conv.get(cid, []),
                     "meta": m})
@@ -1367,6 +1378,7 @@ def conversation_summary(id: str):
     return {"id": id, **{k: s.get(k) for k in _CARD_KEYS},
             "title": _conv_title(s),
             "runningAgents": _running_agents(s, m.get("state")),
+            "deploying": _is_deploying(s, m.get("state")),
             "skillsUsed": skills_used,
             "agentsUsed": _agents_by_conversation().get(id, []),
             "meta": m}
@@ -1632,6 +1644,7 @@ def conversation_detail(id: str):
         data["meta"]["state"] = sub_state
     # Resolve the state first: which Task calls count as running depends on it.
     data["runningAgents"] = _running_agents(data, data["meta"].get("state"))
+    data["deploying"] = _is_deploying(data, data["meta"].get("state"))
     _attach_subagents(ap, data)
     # Cross-link the memories this conversation read (recalled) and created.
     read_slugs = set(data.get("memoriesRead") or [])

backend/schemas.py

@@ -384,6 +384,10 @@ class ConversationSummary(Schema):
     # Subagents still in flight (their Task call never came back). The list card
     # shows one "running" chip per entry while the conversation itself is running.
     runningAgents: Optional[list[RunningAgent]] = None
+    # A deploy command this conversation issued hasn't returned yet. The list
+    # card shows a "Deploying…" chip while the conversation itself is running,
+    # same gating as `runningAgents`.
+    deploying: Optional[bool] = None
     # Current context size: the last assistant API call's full prompt+reply
     # (input + cache read/write + output) — what the next request replays.
     # `contextModel` is the model that made that call, so the UI can pick the

frontend/openapi.json

@@ -5257,6 +5257,17 @@
             ],
             "title": "Runningagents"
           },
+          "deploying": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Deploying"
+          },
           "contextTokens": {
             "anyOf": [
               {
@@ -5696,6 +5707,17 @@
             ],
             "title": "Runningagents"
           },
+          "deploying": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Deploying"
+          },
           "contextTokens": {
             "anyOf": [
               {

frontend/src/business/conversations/components/ConvMetaBits.tsx

@@ -591,6 +591,21 @@ export function RunningAgentTags({ agents }: { agents?: RunningAgent[] | null })
   );
 }
 
+/**
+ * A deploy command this conversation issued hasn't returned yet. Shown next to
+ * `RunningAgentTags` on the card — same "still in flight" shape, but for the
+ * conversation's own deploy call rather than a spawned subagent.
+ */
+export function DeployingBadge({ deploying }: { deploying?: boolean | null }) {
+  if (!deploying) return null;
+  return (
+    <span className="inline-flex items-center gap-1 rounded-full bg-amber-500/10 px-1.5 py-0.5 text-[10px] font-medium text-amber-500">
+      <Loader2 className="h-2.5 w-2.5 shrink-0 animate-spin" />
+      Deploying…
+    </span>
+  );
+}
+
 /** The CI/CD-style lifecycle stages, in order. */
 const STAGES = [
   { key: "committed", label: "Committed", Icon: GitCommit },

frontend/src/business/conversations/components/ConversationListElement.tsx

@@ -3,6 +3,7 @@ import { Link } from "react-router-dom";
 import { Archive, Bot, Loader2, User } from "lucide-react";
 import { cn, fmtCost, fmtDuration, relTime } from "@/lib/utils";
 import {
+  DeployingBadge,
   PendingFormBadge,
   ProjectTags,
   RunningAgentTags,
@@ -71,6 +72,7 @@ export function ConversationListElement({
     c.meta?.services?.length ||
     c.meta?.worktrees?.length ||
     (running && c.runningAgents?.length) ||
+    (running && c.deploying) ||
     pendingForm
   );
 
@@ -125,6 +127,7 @@ export function ConversationListElement({
               {/* Subagents in flight — only meaningful while the run is live; a
                   Task call left open by an interrupted run isn't a running agent. */}
               {running && <RunningAgentTags agents={c.runningAgents} />}
+              {running && <DeployingBadge deploying={c.deploying} />}
               <ProjectTags projects={c.meta?.projects} />
               <ServiceTags services={c.meta?.services} />
               <WorktreeTag worktrees={c.meta?.worktrees} />

frontend/src/business/conversations/pages/Conversations.tsx

@@ -29,6 +29,7 @@ import {
   AgentBadge,
   CronBadge,
   CtaBadge,
+  DeployingBadge,
   PendingFormBadge,
   ProjectTags,
   RunningAgentTags,
@@ -390,12 +391,14 @@ function ConversationCard({
         c.meta?.services?.length ||
         c.meta?.worktrees?.length ||
         (running && c.runningAgents?.length) ||
+        (running && c.deploying) ||
         pendingForm) && (
         <div className="flex flex-wrap items-center gap-1.5">
           <TaskBadge tasks={c.tasks} />
           {/* Subagents in flight — only meaningful while the run is live; a Task
               call left open by an interrupted run isn't a running agent. */}
           {running && <RunningAgentTags agents={c.runningAgents} />}
+          {running && <DeployingBadge deploying={c.deploying} />}
           <ProjectTags projects={c.meta?.projects} />
           <ServiceTags services={c.meta?.services} />
           <WorktreeTag worktrees={c.meta?.worktrees} />

frontend/src/generated/model/conversationDetail.ts

@@ -42,6 +42,7 @@ export interface ConversationDetail {
   subagentTokens?: number | null;
   subagentCost?: number | null;
   runningAgents?: RunningAgent[] | null;
+  deploying?: boolean | null;
   contextTokens?: number | null;
   contextModel?: string | null;
   firstContextTokens?: number | null;

frontend/src/generated/model/conversationSummary.ts

@@ -35,6 +35,7 @@ export interface ConversationSummary {
   subagentTokens?: number | null;
   subagentCost?: number | null;
   runningAgents?: RunningAgent[] | null;
+  deploying?: boolean | null;
   contextTokens?: number | null;
   contextModel?: string | null;
   firstContextTokens?: number | null;