feat(chat): multi-turn Chat Session with Conversation history sidebar

Grounded Ask owns the product chat UI: persistent thread_id across a
Chat Session, New chat / Continue conversation, and a sidebar that lists
Conversations from the Conversation Record with formatted run metadata
(timing, tokens, evidence chunks).

Co-authored-by: Cursor <cursoragent@cursor.com>

README.md

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+# Grounded Ask
+
+Upload docs, ask one question, read the answer plus the passages it used.
+
+Domain language: [`CONTEXT.md`](CONTEXT.md) · product ADR: [`docs/adr/0001-separate-app-tenant-profiles.md`](docs/adr/0001-separate-app-tenant-profiles.md) · API Sources: `tamasino-ai-api` ADR-0023
+
+## Prerequisites
+
+1. `tamasino-ai-api` running
+2. A tenant API key with upload scopes **and** `threads:run`:
+
+```bash
+cd ../tamasino-ai-api
+uv run python -m src.cli.provision_tenant --slug acme --domain fire \
+  --scopes files:write,domains:read,domains:write,points:read,points:write,retrieval:read,threads:run
+```
+
+## How to use (local)
+
+1. Open the app (usually `http://localhost:8502`).
+2. **Connect** — paste an API key that includes `files:write`, `domains:read`, `domains:write`, and `threads:run` (Hybrid Console’s key is fine if it has those).
+3. **Add documents** — create or pick a topic (domain), upload CSV / Excel / Word, wait for “chunks indexed”.
+4. **Ask** — type a question → read the answer and **Passages used**.
+
+Each ask is single-turn (no chat history). Questions search the whole tenant corpus.
+
+## Setup
+
+```bash
+cd tamasino-ai-grounded-ask
+cp .env.example .env
+uv sync
+uv run streamlit run app.py
+```
+
+Connections are stored locally in `data/tenant_profiles.json` (gitignored).