- Added PostHog configuration options to .env.example files for both Docker and Surfsense backend.
- Introduced PostHog dependency in pyproject.toml.
- Implemented analytics middleware to capture various events across the application, including user authentication, automation runs, and API requests.
- Enhanced existing routes and services to emit analytics events, providing insights into user interactions and system performance.
- Ensured graceful shutdown of analytics clients in worker processes and application lifecycles.
MCP consolidation:
- Route all MCP-capable connectors (Slack, Jira, Linear, ClickUp, Airtable,
Notion, Confluence, interim Gmail/Calendar, custom MCP) through a single
`mcp_discovery` subagent. Drive/OneDrive/Dropbox stay native to enrich the KB.
- Deprecate Discord/Teams/Luma: no viable official MCP server.
Google-only web search:
- Remove the main-agent `web_search` tool and the SearXNG platform service;
all public web search now flows through the `google_search` subagent via task().
- Deprecate the Tavily/SearXNG/Linkup/Baidu search connectors (HTTP 410 on
create, "Deprecated" badge); guide heavy users to the custom MCP connector.
- Remove web search from anonymous chat (pure Q&A).
- Tear SearXNG out of docker compose + install scripts; drop tavily-python
and linkup-sdk deps and their config/env vars.
Fix:
- metrics._package_version() now swallows any metadata lookup failure. A
malformed editable-install distribution with no `Version` field raised
KeyError deep in importlib.metadata, and since it runs on every
record_subagent_invoke_duration call it was crashing every task()
delegation. Verified end-to-end against live GPT-5.4.
Co-authored-by: Cursor <cursoragent@cursor.com>
- 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.
Resolve conflicts against the new native google-maps actor + repo-wide
ruff-format pass:
- Keep legacy webcrawler KB indexer + its test deleted (modify/delete).
- test_validators: keep WEBCRAWLER case removed (validator gone).
- test_fetch_resilience: keep platforms.youtube import path (our reorg).
- Relocate google_maps actor + tests scrapers/ -> platforms/ to match the
reorg convention (youtube already there); rewrite imports + fixture paths.
- Add missing __init__.py across the capabilities/ test subtree so duplicate
test basenames get unique module paths under importlib mode.
Note: google_maps fixture-backed tests error on ci_mvp too (fixtures/*.json
never committed upstream) - pre-existing, out of scope here.
Move app/scrapers -> app/proprietary/scrapers/youtube to sit alongside the existing proprietary web_crawler/platforms namespace, updating all external imports (routes, tests, e2e script, README). Internal imports were relative so are unchanged.
Also parallelize playlist per-video resolution: page video ids sequentially, then resolve the heavy watch-page fetches concurrently via fan_out (~150 videos ~70s, down from a few minutes). Items stream in completion order; sort by the order field for playlist order.
Co-authored-by: Cursor <cursoragent@cursor.com>
Hard cutover of the HTTP surface: collapse the three legacy spellings
(/searchspaces, /search-spaces, /search-space/{id}) onto canonical
/workspaces/{workspace_id}/..., rename the gateway field-setter sub-actions to
singular /workspace, rename search_spaces_routes.py -> workspaces_routes.py and the
search_spaces_router -> workspaces_router include, and flip search_space_id ->
workspace_id in bodies/params. No alias routers: the old URLs now 404 by design.
Full app constructs with zero legacy path spellings.
The pull-based KB design (on-demand search_knowledge_base tool + pre-injected
workspace tree) fully replaced the old eager retrieval path. Remove its last
remnants:
- Delete KnowledgePriorityMiddleware (knowledge_search.py) and its tests.
- Drop the kb_priority state field + reducer default; trim
KbContextProjectionMiddleware to project only workspace_tree_text.
- Remove the now-dead feature flags enable_kb_priority_preinjection and
enable_kb_planner_runnable across backend (flags, route schema, tests,
env examples) and frontend (settings toggle, zod schema).
- Scrub <priority_documents> and stale KnowledgePriorityMiddleware references
from prompts, docstrings, and the ADR.
No functional change: nothing wrote kb_priority and neither flag gated live
behavior after the cutover. Full backend suite green (pre-existing unrelated
failures aside).
Thread mentioned_thread_ids from the route through the orchestrator into
input-state assembly, resolve them for the requesting user, and append
the rendered referenced-chat block to the agent's query context.
