feat(reddit): implement Reddit scraping subagent and associated capabilities

- Added a new `reddit` subagent to scrape structured data from Reddit posts, comments, and users.
- Introduced `reddit.scrape` capability for fetching data using URLs and search queries.
- Implemented tools for scraping and parsing Reddit data, including handling pagination and rate limits.
- Created input/output models for the Reddit scraper to define request and response structures.
- Added documentation for the new Reddit scraping functionality and its usage.
- Integrated the Reddit subagent into the existing multi-agent chat framework.

surfsense_backend/tests/unit/agents/multi_agent_chat/test_subagent_composition.py

@@ -19,7 +19,7 @@ from app.agents.chat.multi_agent_chat.subagents.registry import (
 
 pytestmark = pytest.mark.unit
 
-# The full specialist roster the main agent composes from: 6 builtins + 15
+# The full specialist roster the main agent composes from: 8 builtins + 15
 # connector routes. Adding/removing a specialist is a deliberate product change
 # and must be reflected here.
 _EXPECTED_SUBAGENTS = frozenset(
@@ -34,6 +34,7 @@ _EXPECTED_SUBAGENTS = frozenset(
         "gmail",
         "google_drive",
         "google_maps",
+        "google_search",
         "jira",
         "knowledge_base",
         "linear",
@@ -41,6 +42,7 @@ _EXPECTED_SUBAGENTS = frozenset(
         "memory",
         "notion",
         "onedrive",
+        "reddit",
         "slack",
         "teams",
         "web_crawler",