Refactor storage: remove Redis duplication, use proper data tiers

- Recipes: Now content-addressed only (cache + IPFS), removed Redis storage
- Runs: Completed runs stored in PostgreSQL, Redis only for task_id mapping
- Add list_runs_by_actor() to database.py for paginated run queries
- Add list_by_type() to cache_manager for filtering by node_type
- Fix upload endpoint to return size and filename fields
- Fix recipe run endpoint with proper DAG input binding
- Fix get_run_service() dependency to pass database module

Storage architecture:
- Redis: Ephemeral only (sessions, task mappings with TTL)
- PostgreSQL: Permanent records (completed runs, metadata)
- Cache: Content-addressed files (recipes, media, outputs)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

cache_manager.py

@@ -519,6 +519,22 @@ class L1CacheManager:
 
         return files
 
+    def list_by_type(self, node_type: str) -> List[str]:
+        """
+        List content hashes of all cached files of a specific type.
+
+        Args:
+            node_type: Type to filter by (e.g., "recipe", "upload", "effect")
+
+        Returns:
+            List of content hashes
+        """
+        hashes = []
+        for entry in self.cache.list_entries():
+            if entry.node_type == node_type and entry.content_hash:
+                hashes.append(entry.content_hash)
+        return hashes
+
     # ============ Activity Tracking ============
 
     def record_activity(self, dag: DAG, run_id: str = None) -> Activity: