Settings "Auto model routing" picks which installed model fires for chat vs
coding intent when no model is pinned (auto_chat_model / auto_code_model).
_auto_select_model honors the remap; _MODEL_PREFERENCE["code"] prefers real
coder models first.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Windows installer no longer auto-downloads models; points to the Models tab.
synapse/hardware.py detects RAM + best-effort VRAM and a curated catalog;
GET /models/recommended annotates each model with fit (gpu/ram/no); the Models
page shows detected RAM/VRAM with fit badges and per-row Pull buttons.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
3-way action_tool_policy (off/ask/allow). In "ask", the chat stream stays
open and the tool loop awaits approval: emits event:tool_request, the UI
shows Approve/Deny, POST /chat/approve resumes the same stream. Declined
actions return a denied result; a timeout denies.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- Conversations bind to a project on creation; RAG scopes to the
conversation's project, not the global setting.
- Action tools (web_search/fetch_url/remember) are withheld unless
allow_action_tools is enabled (off by default). Settings toggle.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- Projects/workspaces: documents grouped into projects; chat RAG scopes to the
active project. Switcher in the Documents page.
- Agentic action tools: web_search, fetch_url, and remember (first write tool),
allowlist-gated per playbook.
- Local Whisper STT (faster-whisper, no torch): on-device dictation replacing
the browser Web Speech API. POST /stt + GET /stt/status; browser fallback.
- Vector index extended to conversation recall (message_vectors), with the
brute-force cosine scan kept as the fallback.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- Chunker: char overlap across boundaries + hard-split of oversized paragraphs.
- Retrieval knobs: rag_top_k / rag_min_score in settings + Settings UI.
- Vector index: sqlite-vec ANN over document embeddings, dual-written and
backfilled, with brute-force cosine as the guaranteed fallback.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- Upload endpoint (base64 JSON, no multipart dep): extracts text from
pdf/docx/txt/md via pypdf + python-docx, then runs the existing
chunk/embed pipeline. Documents page uploads files straight through.
- Citations: the chat stream emits an SSE `sources` event listing the
documents that fed the answer; the UI shows them as chips under the reply.
- Deps: pypdf, python-docx (both pure-Python, Windows-safe).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Process scope for the current window, LocalMachine RemoteSigned so it persists
and ncp works from later shells without -ExecutionPolicy Bypass.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>