Remove intent model entirely; quick-capture uses primary model

The separate intent model (OLLAMA_INTENT_MODEL / qwen2.5:7b) is removed
from every part of the system. All classification now uses the primary model.

Changes:
- config.py: remove OLLAMA_INTENT_MODEL
- intent.py: remove classify_intent() and all supporting infrastructure
  (_SYSTEM_PROMPT_TEMPLATE, _RESEARCH_PREFIX, _PRIOR_WORK_REFS); file now
  only contains the quick-capture classifier
- quick_capture.py: classify_capture_intent() now called with Config.OLLAMA_MODEL
- generation_task.py: remove intent_model_setting DB lookup and get_setting import;
  history summarization and research pipeline use the primary model directly
- research.py: remove intent_model parameter from run_research_pipeline() and
  _generate_sub_queries(); both use the model param throughout
- routes/settings.py: remove intent_model from model-key validation and response
- app.py: remove intent model pre-warming at startup
- SettingsView.vue: remove Intent Model selector and related refs/state

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

src/fabledassistant/services/research.py

@@ -25,7 +25,6 @@ async def run_research_pipeline(
     topic: str,
     user_id: int,
     model: str,
-    intent_model: str,
     buf=None,
 ) -> Note:
     """Full research pipeline: search → fetch → synthesize → create note.
@@ -36,7 +35,7 @@ async def run_research_pipeline(
     # Step 1: Generate sub-queries
     if buf is not None:
         buf.append_event("status", {"status": "Generating search queries..."})
-    queries = await _generate_sub_queries(topic, intent_model)
+    queries = await _generate_sub_queries(topic, model)
     logger.info("Research: generated %d sub-queries for topic '%s'", len(queries), topic)
 
     # Step 2: Search all queries in parallel (200 ms stagger to avoid hammering SearXNG)
@@ -118,8 +117,8 @@ async def run_research_pipeline(
     return note
 
 
-async def _generate_sub_queries(topic: str, intent_model: str) -> list[str]:
-    """Ask the intent model for focused search queries for the topic."""
+async def _generate_sub_queries(topic: str, model: str) -> list[str]:
+    """Ask the model for focused search queries for the topic."""
     messages = [
         {
             "role": "system",
@@ -135,7 +134,7 @@ async def _generate_sub_queries(topic: str, intent_model: str) -> list[str]:
         {"role": "user", "content": f"Topic: {topic}"},
     ]
     try:
-        raw = await generate_completion(messages, intent_model, max_tokens=200)
+        raw = await generate_completion(messages, model, max_tokens=200)
         raw = raw.strip()
         raw = re.sub(r"^```(?:json)?\s*", "", raw)
         raw = re.sub(r"\s*```$", "", raw)