chore: re-version to v0.11.0 (pre-release until public release)

README.md

@@ -1,4 +1,4 @@
-# jarvisChat v1.11.0
+# jarvisChat v0.11.0
 
 You have a garage full of retired office PCs, a GPU that was mid-range when Obama was president, and a burning desire to chat with a language model without renting some billionaire's server farm. Congratulations — you've found your people.
 
@@ -8,7 +8,7 @@ Under the hood: FastAPI + SQLite + Jinja2 on Python 3.13. No Docker. It stitches
 
 Developer wiki: [docs/wiki/Home.md](docs/wiki/Home.md)
 
-## What's New in v1.11.0
+## What's New in v0.11.0
 
 ### File & Document Attachments (v1.9.0–v1.10.0)
 - **`POST /api/upload`** — multipart file upload with PDF/text extraction; modes: `context` (chat injection), `ingest` (RAG corpus), `both`
@@ -19,7 +19,7 @@ Developer wiki: [docs/wiki/Home.md](docs/wiki/Home.md)
 - **Attachment indicators** — 📎 badge on conversations with attachments
 - **Chat context injection** — `upload_context_id` prepends document text to system prompt
 
-### Terminal RAG Hook — `POST /api/ingest` (v1.11.0)
+### Terminal RAG Hook — `POST /api/ingest` (v0.11.0)
 - Bearer token auth (same key as `/v1/chat/completions`)
 - Chunking via shared `chunk_text()` helper, embed via Ollama, upsert to Qdrant
 - `jc-ingest.sh` — PROMPT_COMMAND shell script for autonomous terminal history ingestion

TASKS.md

@@ -120,7 +120,7 @@ Run full test suite. All existing tests must continue to pass.
 
 ## TASK 6 — Roadmap I: Terminal Command RAG Hook [DONE]
 
-**Status: `POST /api/ingest` with Bearer token auth, `chunk_text()` shared helper, `jc-ingest.sh` script. Committed `1ac21ad` (v1.11.0).**
+**Status: `POST /api/ingest` with Bearer token auth, `chunk_text()` shared helper, `jc-ingest.sh` script. Committed `1ac21ad` (v0.11.0).**
 
 This task implements autonomous RAG ingestion of significant terminal activity (TODO #23).
 

config.py

@@ -9,7 +9,7 @@ import logging
 
 log = logging.getLogger("jarvischat")
 
-VERSION = "v1.11.0"
+VERSION = "v0.11.0"
 OLLAMA_BASE = os.environ.get("OLLAMA_BASE", "http://localhost:11434")
 LLAMA_SERVER_BASE = os.environ.get("LLAMA_SERVER_BASE", "http://192.168.50.108:8081")
 SEARXNG_BASE = "http://localhost:8888"