Phase 22b: Parallel research fetching, streaming synthesis, intent optimizations

research.py:
- Parallelize all 5 SearXNG queries concurrently (200ms stagger via asyncio.gather)
- Parallelize all URL fetches in parallel (asyncio.gather) — up to 15 URLs at once
  instead of sequential fetches; biggest performance win (was O(n) × 15s, now ~15s flat)
- _synthesize_note accepts buf: when provided uses stream_chat (num_ctx=16384,
  num_predict=8192) to emit tokens into the chat buffer in real time so users see
  the note being written; falls back to generate_completion when buf=None
- Added \n\n---\n\n separator before "Research complete!" to cleanly mark boundary
  after streamed synthesis content

intent.py:
- classify_intent passes num_ctx=4096 to generate_completion — reduces VRAM pressure
  and prefill time for the intent model call on every single request

generation_task.py:
- _INTENT_TRIGGER_WORDS frozenset (~50 action/object/date words) + _should_skip_intent()
  skips intent classification for short messages (≤10 words) with no trigger words;
  saves 400-800ms model call for conversational replies ("thanks", "okay", etc.)
- Added \n\n---\n\n separator before research "done" text in research_topic branch

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

src/fabledassistant/services/generation_task.py

@@ -97,6 +97,42 @@ _TOOL_ACTIONS: dict[str, str] = {
 }
 
 
+# Words that strongly suggest a tool call is needed.
+# If none of these appear in a short message, skip intent classification.
+_INTENT_TRIGGER_WORDS: frozenset[str] = frozenset({
+    # Creation
+    "create", "add", "make", "new", "write", "set",
+    # Objects / tools
+    "note", "notes", "task", "tasks", "event", "calendar", "reminder", "todo",
+    "meeting", "appointment", "schedule", "due", "deadline",
+    # Read / search
+    "find", "search", "look", "show", "list", "get", "read", "open", "fetch",
+    # Research / web
+    "research", "investigate", "compile", "report", "google", "web",
+    # Mutation
+    "update", "edit", "change", "rename", "move", "reschedule", "delete",
+    "remove", "cancel", "complete", "finish", "mark", "tag", "untag", "append",
+    # Dates / times (might trigger calendar tools)
+    "today", "tomorrow", "yesterday", "next", "last", "week", "month",
+    "monday", "tuesday", "wednesday", "thursday", "friday", "saturday", "sunday",
+    # Misc triggers
+    "overdue", "priority", "high", "urgent", "remind", "alert",
+})
+
+
+def _should_skip_intent(message: str) -> bool:
+    """Return True if the message is clearly conversational and needs no tool.
+
+    Skips intent classification for short messages (≤ 10 words) that contain
+    none of the trigger words. This saves a model call (~400-800ms) for simple
+    exchanges like "thanks", "okay", "can you explain that more?", etc.
+    """
+    words = message.lower().split()
+    if len(words) > 10:
+        return False
+    return not any(w in _INTENT_TRIGGER_WORDS for w in words)
+
+
 async def _generate_title(messages: list[dict], model: str) -> str:
     """Ask the LLM for a concise conversation title."""
     # Build conversation text like summarize_conversation_as_note
@@ -227,7 +263,7 @@ async def run_generation(
 
     intent_task: asyncio.Task[IntentResult] | None = None
     t_intent = time.monotonic()
-    if tools:
+    if tools and not _should_skip_intent(user_content):
         intent_history = [
             m for m in history_to_use
             if m.get("role") in ("user", "assistant") and m.get("content")
@@ -235,6 +271,8 @@ async def run_generation(
         intent_task = asyncio.create_task(
             classify_intent(user_content, tools, intent_model, history=intent_history)
         )
+    elif tools:
+        logger.debug("Skipping intent classification for short/conversational message")
 
     messages, context_meta = await context_task
 
@@ -301,7 +339,7 @@ async def run_generation(
                                 topic, user_id, model, intent_model, buf
                             )
                             done_text = (
-                                f"Research complete! I've compiled a note: "
+                                f"\n\n---\n\nResearch complete! I've compiled a note: "
                                 f"**[{note.title}](/notes/{note.id})**."
                             )
                             buf.append_event("chunk", {"chunk": done_text})