fix: resolve all critical runtime errors and bugs from audit

- Add COMPLETIONS_API_KEY to config.py (env var + auto-generated fallback)
- Fix perplexity auto-search: upstream sends logprobs=true, parse_llama_stream_chunk
  extracts per-token logprobs, all_logprobs populated during streaming
- Fix all /api/models endpoints to target LLAMA_SERVER_BASE (port 8081) not OLLAMA_BASE
- Fix RAG embedding endpoint URL from port 11434 (Ollama) to 8081 (llama-server)
- Correct misleading error messages: 'inference server' not 'Ollama'
- Remove raw_results leak from SSE event stream in /api/search
- Fix weather query extractor: pattern-match instead of unconditional suffix append
- Escape FTS5 operator keywords (AND/OR/NOT/NEAR) in memory search
- Move auth.py BODY_LIMIT_DEFAULT_BYTES imports to module level
- Change RAG injection log level from warning to info
- Fix all 8 test files after modular refactor (rewire imports from correct modules)
- Update AGENTS.md and README.md to reflect v1.8.0 changes

routers/search_route.py

@@ -35,14 +35,14 @@ async def explicit_search(request: Request):
 
     if not conv_id:
         conv_id = str(uuid.uuid4())
-        title = f"🔍 {query[:70]}..." if len(query) > 70 else f"🔍 {query}"
+        title = query[:70] + "..." if len(query) > 70 else query
         db.execute("INSERT INTO conversations (id, title, model, created_at, updated_at) VALUES (?, ?, ?, ?, ?)",
                    (conv_id, title, model, now, now))
     else:
         db.execute("UPDATE conversations SET updated_at = ? WHERE id = ?", (now, conv_id))
 
     db.execute("INSERT INTO messages (conversation_id, role, content, created_at) VALUES (?, ?, ?, ?)",
-               (conv_id, "user", f"🔍 {query}", now))
+               (conv_id, "user", query, now))
     db.commit()
     db.close()
 
@@ -80,7 +80,7 @@ async def explicit_search(request: Request):
                 ) as resp:
                     async for line in resp.aiter_lines():
                         if line.strip():
-                            token, done, _ = parse_llama_stream_chunk(line)
+                            token, done, _, _ = parse_llama_stream_chunk(line)
                             if token:
                                 full_response.append(token)
                                 yield f"data: {json.dumps({'token': token, 'conversation_id': conv_id})}\n\n"
@@ -102,7 +102,6 @@ async def explicit_search(request: Request):
         db2.commit()
         db2.close()
 
-        yield f"data: {json.dumps({'raw_results': results, 'conversation_id': conv_id})}\n\n"
         yield f"data: {json.dumps({'done': True, 'conversation_id': conv_id, 'searched': True})}\n\n"
 
     return StreamingResponse(stream_search(), media_type="text/event-stream")