insight-chat: add get_faces_in_photo agentic tool

The LLM had no path to see face_detections data — get_file_tags
returns user-applied tags, but a face that's been detected and bound
to a person via the embedding-cluster auto-bind path doesn't always
have a matching tag. The new tool joins face_detections with persons
by content_hash and returns bound names + bboxes, plus unidentified
faces (so smaller models can count people in the photo without
inferring from a visual description).

Gated on face_detections being non-empty via the same has_any_*
pattern as daily_summaries.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

src/state.rs

@@ -1,5 +1,6 @@
 use crate::ai::apollo_client::ApolloClient;
 use crate::ai::face_client::FaceClient;
+use crate::faces;
 use crate::ai::insight_chat::{ChatLockMap, InsightChatService};
 use crate::ai::openrouter::OpenRouterClient;
 use crate::ai::{InsightGenerator, OllamaClient, SmsApiClient};
@@ -206,6 +207,8 @@ impl Default for AppState {
             Arc::new(Mutex::new(Box::new(SqliteTagDao::default())));
         let knowledge_dao: Arc<Mutex<Box<dyn KnowledgeDao>>> =
             Arc::new(Mutex::new(Box::new(SqliteKnowledgeDao::new())));
+        let face_dao: Arc<Mutex<Box<dyn faces::FaceDao>>> =
+            Arc::new(Mutex::new(Box::new(faces::SqliteFaceDao::new())));
 
         // Load base path and ensure the primary library row reflects it.
         let base_path = env::var("BASE_PATH").expect("BASE_PATH was not set in the env");
@@ -232,6 +235,7 @@ impl Default for AppState {
             search_dao.clone(),
             tag_dao.clone(),
             knowledge_dao,
+            face_dao.clone(),
             libraries_vec.clone(),
         );
 
@@ -348,6 +352,8 @@ impl AppState {
             Arc::new(Mutex::new(Box::new(SqliteTagDao::default())));
         let knowledge_dao: Arc<Mutex<Box<dyn KnowledgeDao>>> =
             Arc::new(Mutex::new(Box::new(SqliteKnowledgeDao::new())));
+        let face_dao: Arc<Mutex<Box<dyn faces::FaceDao>>> =
+            Arc::new(Mutex::new(Box::new(faces::SqliteFaceDao::new())));
 
         // Initialize test InsightGenerator with all data sources
         let base_path_str = base_path.to_string_lossy().to_string();
@@ -371,6 +377,7 @@ impl AppState {
             search_dao.clone(),
             tag_dao.clone(),
             knowledge_dao,
+            face_dao.clone(),
             vec![test_lib],
         );