search_archive, get_room_context, and sol.search() (in run_script)
enforce a configurable member overlap threshold. results from a
room are only visible if >=25% of that room's members are also in
the requesting room.
system-level filter applied at the opensearch query layer — sol
never sees results from excluded rooms.
7 gitea tools: list_repos, get_repo, list_issues, get_issue,
create_issue, list_pulls, get_file. all operate as the requesting
user via PAT impersonation.
tool registry conditionally includes gitea tools when configured.
dispatch uses prefix matching (gitea_*) for clean extension.
fixed search bug: room_name and sender_name filters used .keyword
subfield which doesn't exist on keyword-typed fields — queries
silently returned zero results for all room/sender-filtered searches.
Three memory channels: hidden tool (sol.memory.set/get in scripts),
pre-response injection (relevant memories loaded into system prompt),
and post-response extraction (ministral-3b extracts facts after each
response). User isolation enforced at Rust level — user_id derived
from Matrix sender, never from script arguments.
New modules: context (ResponseContext), memory (schema, store, extractor).
ResponseContext threaded through responder → tools → script runtime.
OpenSearch index sol_user_memory created on startup alongside archive.
Matrix bot with E2EE (matrix-sdk 0.9) that passively archives all
messages to OpenSearch and responds to queries via Mistral AI with
function calling tools.
Core systems:
- Archive: bulk OpenSearch indexer with batch/flush, edit/redaction
handling, embedding pipeline passthrough
- Brain: rule-based engagement evaluator (mentions, DMs, name
invocations), LLM-powered spontaneous engagement, per-room
conversation context windows, response delay simulation
- Tools: search_archive, get_room_context, list_rooms, get_room_members
registered as Mistral function calling tools with iterative tool loop
- Personality: templated system prompt with Sol's librarian persona
47 unit tests covering config, evaluator, conversation windowing,
personality templates, schema serialization, and search query building.
