ToolRegistry gains execute_with_context(&ToolContext) which bridges
to the existing execute(&ResponseContext) via a shim. The orchestrator
calls only the new method — no ResponseContext in its dependency tree.
new search_web tool calls SearXNG (cluster-internal, free, no tracking)
instead of Mistral's built-in web_search ($0.03/query + rate limits).
returns structured results from DuckDuckGo, Wikipedia, StackOverflow,
GitHub, arXiv, and Brave. no API keys, no cost, no rate limits.
removed Mistral AgentTool::web_search() from orchestrator — replaced
by the custom tool which goes through Sol's normal tool dispatch.
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.
Mistral Agents + Conversations API integration:
- Orchestrator agent created on startup with Sol's personality + tools
- ConversationRegistry routes messages through persistent conversations
- Per-room conversation state (room_id → conversation_id + token counts)
- Function call handling within conversation responses
- Configurable via [agents] section in sol.toml (use_conversations_api flag)
Multimodal support:
- m.image detection and Matrix media download (mxc:// → base64 data URI)
- ContentPart-based messages sent to Mistral vision models
- Archive stores media_urls for image messages
System prompt rewrite:
- 687 → 150 lines — dense, few-shot examples, hard rules
- {room_context_rules} placeholder for group vs DM behavior
- Sender prefixing (<@user:server>) for multi-user turns in group rooms
SQLite persistence (/data/sol.db):
- Conversation mappings and agent IDs survive reboots
- WAL mode for concurrent reads
- Falls back to in-memory on failure (sneezes into all rooms to signal)
- PVC already mounted at /data alongside Matrix SDK state store
New modules:
- src/persistence.rs — SQLite state store
- src/conversations.rs — ConversationRegistry + message merging
- src/agents/{mod,definitions,registry}.rs — agent lifecycle
- src/agent_ux.rs — reaction + thread progress UX
- src/tools/bridge.rs — tool dispatch for domain agents
102 tests passing.
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.
