Local LLM:
- user_settings.py: per-user hosts/models config (local_llm.json)
- routers/local_llm.py + static/local_llm.html: dedicated settings page
- llm_client.py: local OpenAI-compatible backend via httpx
- config.py: LOCAL_API_URL/KEY/MODEL + per-backend timeouts
- Active model shown near backend toggle (amber hint text)
Memory distillation:
- memory_distiller.py: DISTILL_BACKEND_MID/LONG .env overrides
- scheduler.py + notification.py: notify NC Talk after mid/long distill
- notification.py: outbound channel abstraction (NC Talk, extensible)
Session search:
- routers/files.py: GET /sessions/search?q= with excerpts grouped by date
- static/index.html + app.js: search UI in file sidebar with highlight
- _esc() helper to prevent XSS in search results
Proactive cron:
- cron_runner.py: new job types — message (send directly) and brief (LLM + send)
- Both support optional per-job channel override
Channels:
- routers/nextcloud_talk.py: consolidated using notification._send_nct_message()
- routers/auth.py: local backend status in /auth/status
- routers/chat.py: /backend returns {primary, fallback, local_model} object
UI / UX:
- Copy button for user messages (matching assistant)
- Autocomplete disabled on sensitive form fields
- settings.html: local model section replaced with link to /settings/local
Docs overhaul:
- MASTER.md hub + ARCH__SYSTEM/BACKENDS/PERSONA/CHANNELS/FUTURE.md
- ARCH__Intelligence_Layer.md replaced with redirect table
- CORTEX.md trimmed to vision only; README updated
- OPEN_WEBUI_API.md added to docs/
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
145 lines
4.2 KiB
Python
145 lines
4.2 KiB
Python
"""
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Read/write Inara identity markdown files, and search past session logs.
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Only whitelisted filenames are accessible — no path traversal possible.
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"""
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import re
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from fastapi import APIRouter, HTTPException, Query
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from pydantic import BaseModel
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from persona import persona_path, set_context, validate as validate_persona
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router = APIRouter()
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ALLOWED = {
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"SOUL.md",
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"IDENTITY.md",
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"USER.md",
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"PROTOCOLS.md",
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"CONTEXT_TIERS.md",
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"MEMORY.md", # legacy — kept for reference
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"MEMORY_LONG.md",
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"MEMORY_MID.md",
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"MEMORY_SHORT.md",
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"HELP.md",
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}
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def _resolve(user: str, persona: str) -> None:
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"""Validate and set context from query params. Raises HTTPException on bad input."""
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try:
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u, p = validate_persona(user, persona)
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set_context(u, p)
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except ValueError as e:
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raise HTTPException(status_code=404, detail=str(e))
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def _path(filename: str):
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if filename not in ALLOWED:
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raise HTTPException(status_code=404, detail=f"File not found: {filename}")
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return persona_path() / filename
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@router.get("/files")
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async def list_files(
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user: str = Query("scott"),
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persona: str = Query("inara"),
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) -> dict:
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_resolve(user, persona)
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persona_dir = persona_path()
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files = []
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for name in sorted(ALLOWED):
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p = persona_dir / name
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st = p.stat() if p.exists() else None
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files.append({
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"name": name,
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"exists": p.exists(),
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"size": st.st_size if st else 0,
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"modified": st.st_mtime if st else None,
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})
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return {"files": files}
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@router.get("/files/{filename}")
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async def get_file(
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filename: str,
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user: str = Query("scott"),
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persona: str = Query("inara"),
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) -> dict:
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_resolve(user, persona)
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p = _path(filename)
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if not p.exists():
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raise HTTPException(status_code=404, detail=f"{filename} does not exist")
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return {"name": filename, "content": p.read_text()}
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class FileWrite(BaseModel):
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content: str
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@router.put("/files/{filename}")
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async def save_file(
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filename: str,
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req: FileWrite,
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user: str = Query("scott"),
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persona: str = Query("inara"),
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) -> dict:
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_resolve(user, persona)
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p = _path(filename)
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p.write_text(req.content)
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return {"ok": True, "name": filename, "size": len(req.content)}
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# ── Session search ────────────────────────────────────────────────────────────
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_CONTEXT_CHARS = 120 # chars of context to include around each match
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@router.get("/sessions/search")
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async def search_sessions(
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q: str = Query(..., min_length=2),
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user: str = Query("scott"),
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persona: str = Query("inara"),
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limit: int = Query(20, ge=1, le=100),
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) -> dict:
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"""Full-text search across past session logs.
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Returns up to `limit` matches, newest sessions first.
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Each match includes a short excerpt (120 chars before/after) for context.
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"""
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_resolve(user, persona)
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sessions_dir = persona_path() / "sessions"
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if not sessions_dir.exists():
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return {"query": q, "matches": [], "total_files_searched": 0}
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pattern = re.compile(re.escape(q), re.IGNORECASE)
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session_files = sorted(sessions_dir.glob("*.md"), reverse=True) # newest first
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matches = []
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for sf in session_files:
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if len(matches) >= limit:
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break
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try:
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text = sf.read_text()
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except OSError:
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continue
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for m in pattern.finditer(text):
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if len(matches) >= limit:
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break
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start = max(0, m.start() - _CONTEXT_CHARS)
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end = min(len(text), m.end() + _CONTEXT_CHARS)
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excerpt = text[start:end].strip()
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# Prefix with ellipsis if we truncated the left side
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if start > 0:
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excerpt = "…" + excerpt
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if end < len(text):
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excerpt = excerpt + "…"
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matches.append({
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"date": sf.stem, # YYYY-MM-DD
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"excerpt": excerpt,
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})
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return {
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"query": q,
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"matches": matches,
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"total_files_searched": len(session_files),
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}
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