Merge pull request 'fix(ai): analyse the actual session, not stale/benign logs — 0.28.1' (#25) from feat/m14-ai into main

Reviewed-on: #25

CHANGELOG.md

@@ -5,6 +5,73 @@ All notable changes to RigDoctor are recorded here. Format follows
 (`MAJOR.MINOR.PATCH`, pre-1.0). `__version__` and `pyproject.toml` must match the git
 release tag (so the auto-updater, D18, can compare versions).
 
+## [0.30.0] - 2026-05-22
+### Added
+- **Logging & report bundles (M15, D25)** — opt-in via one **Settings → Logging** toggle
+  (default off). When on: the app logs to a rotating `app.log`, and **each diagnostic is stored
+  in its own folder** (`~/.local/share/rigdoctor/diagnostics/<id>/`) with the capture log, a
+  structured `result.json`, a readable `report.txt`, a session-scoped game-log snapshot, and an
+  `ai/` record of every AI interaction — **the exact data sent, which model, and its reply**.
+- **Report** — a button on the diagnostic dialog (and `rigdoctor bundle`) zips a diagnostic's
+  folder plus `app.log` into `~/.local/share/rigdoctor/reports/<id>.zip` for sharing. Everything
+  stays local; the zip only leaves your machine if you share it. Available only when logging is on.
+
+## [0.29.0] - 2026-05-22
+### Added
+- **AI now resolves Steam app IDs from your library instead of guessing.** When app IDs appear
+  in the logs/findings, RigDoctor looks them up in your scanned games (`steam.appid_names()`) and
+  injects an "App IDs (resolved from your installed games)" glossary into the prompt — so the
+  model names games correctly (e.g. `2694490 = Path of Exile 2`) rather than hallucinating. Only
+  IDs it can resolve locally are listed; no network, no model "training" needed.
+
+## [0.28.1] - 2026-05-22
+### Fixed
+- **AI explanations were misreading stale/benign logs.** Three fixes so the model analyses the
+  *actual* session: (1) the prompt now states the **real game name, capture duration, and
+  outcome** (clean vs. crash) so the model stops guessing the game from log paths; (2) game logs
+  are **scoped to the session window** (Steam-console lines filtered by timestamp; a stale
+  per-app Proton log from an earlier game is skipped); (3) the reference KB flags common
+  **benign** Steam/Proton lines (`libnvidia-ml.so.1` assertion, routine minidump uploads, "fork
+  without exec") so they aren't reported as the cause. The system prompt also forbids
+  Windows-only advice (no "run as administrator") and tells the model not to invent a problem
+  when the run was clean.
+
+## [0.28.0] - 2026-05-22
+### Added
+- **AI explanations now include recent game logs.** When you press "Explain with AI" on a
+  diagnostic, RigDoctor also gathers recent **Proton** (`~/steam-<appid>.log`) and **Steam**
+  console logs (`core/gamelogs.py`, tail-read + size-bounded) and passes them to the model, so
+  it can correlate log errors with the sensor findings and pinpoint *when* something went wrong.
+### Fixed
+- The AI explanation popup now **renders Markdown** (headings, bold, lists) instead of showing
+  raw `###`/`**` — `QTextEdit.setMarkdown`, and the model is told to answer in Markdown.
+
+## [0.27.1] - 2026-05-22
+### Changed
+- AI assistant: selecting **Ollama** now pre-fills the model field with **`qwen2.5:7b`** (a
+  strong 7B that fits an 8 GB GPU; our grounding makes a 7B sufficient). It won't overwrite a
+  model you've already entered, and you can change it freely.
+
+## [0.27.0] - 2026-05-22
+### Added
+- **AI assistant (M14, D24)** — optional, **strictly opt-in, never automatic**. Explains your
+  diagnostics in plain language only when you press **"Explain with AI"** on the diagnostic
+  dialog (or run `rigdoctor ai explain`). You choose a provider explicitly (no default):
+  **Ollama** (local, private, no key) or **Claude** (Anthropic; key stored in the keyring, with
+  a consent prompt before any data is sent). Configure in **Settings → AI assistant**.
+- Answers are **grounded**: RigDoctor passes the actual findings plus matched reference facts
+  from a curated knowledge base (`core/ai_knowledge.py` — exact keyword/code match, no
+  embeddings, stdlib only), so even a small local model gets the domain facts it needs. Stdlib
+  `urllib` only — no new core dependency. Output is advisory (D9).
+- CLI: `rigdoctor ai status|test|explain`.
+
+## [0.26.1] - 2026-05-22
+### Fixed
+- **Setup wizard contrast.** The **radio buttons** (Recording trigger) were unstyled, so the
+  selected option was invisible on the dark theme — now styled with a clear accent ring + dot.
+  Bundle **checkboxes** got explicit checked/disabled states, and stay selectable even when a
+  bundle is already installed (the page no longer looks dead when everything's present).
+
 ## [0.26.0] - 2026-05-22
 ### Added
 - **Graphical setup wizard (M9).** A first-run GUI wizard (`gui/setup_wizard.py`) walks through:

docs/DECISIONS.md

@@ -249,9 +249,36 @@ duplicated what the GUI already shows and added surface area. Concretely:
   (preserves fish/ls/git theming), full-screen-able, with the guest read-only unless the host
   ticks "Allow the guest to type" (the D9 consent exception). Account-gated by the Gitea token.
 
+### D24 — AI assistant module (M14) — *DECIDED 2026-05-22; adds to D14*
+A new optional module that **explains the collected diagnostics in plain language** (likely
+root cause + suggested next steps). Adds M14 to the D14 set.
+- **Strictly opt-in, never automatic.** The model is contacted **only** on an explicit user
+  action (an "Explain with AI" button / `rigdoctor ai explain`) — never on launch, after a
+  diagnostic, in the sample/record loop, or in the background. **Configuring** a provider does
+  not trigger any call.
+- **Local-first.** Defaults to a local **Ollama** server (data never leaves the machine, no
+  key, stdlib `urllib`). An **OpenAI-compatible** endpoint (cloud or local) can be used with a
+  key (stored in the keyring like the update token). Cloud use shows a "this sends your data to
+  X" consent before the first call.
+- **Grounded & advisory.** The prompt carries only the findings we collected; output is framed
+  as suggestions (consistent with D9 — it explains/recommends, applying fixes stays
+  consent-gated). No new runtime dependency (HTTP via stdlib).
+
+### D25 — Logging & report bundles (M15) — *DECIDED 2026-05-22*
+Opt-in logging + shareable diagnostic reports.
+- **One combined `logging_enabled` toggle** (default off) controls both application logging
+  (rotating `app.log`) and per-diagnostic storage. Kept as a single switch for simplicity.
+- **Each diagnostic is stored in its own directory** (`DATA_DIR/diagnostics/<id>/`): capture
+  log, structured `result.json`, human-readable `report.txt`, a scoped game-log snapshot, and an
+  `ai/` folder recording each AI interaction (**exact data sent, provider+model, and the reply**).
+- **"Report"** zips one diagnostic directory (plus `app.log`) into `DATA_DIR/reports/` —
+  auto-saved there (no save dialog), shown with its path. Available only when logging is on
+  (nothing is stored otherwise). CLI: `rigdoctor bundle`.
+- Everything stays local; the report only leaves the machine if the user shares the zip.
+
 ## Open
 
-None currently — all tracked decisions (D1–D23) are resolved. New questions will be added
+None currently — all tracked decisions (D1–D25) are resolved. New questions will be added
 here as they arise. Remaining detail to flesh out during build: the tray's supporting-action
 set (D13), per-module apt package names, M12's tunnel/token specifics, and M13's
 update mechanism (APT repo vs. self-installed `.deb`).

docs/MODULES.md

@@ -2,7 +2,8 @@
 
 Status: ⬜ not started · 🟦 designing · 🟨 in progress · ✅ done
 
-> Module set per D14, plus **M12 (session sharing, D16)** and **M13 (auto-update, D18)**.
+> Module set per D14, plus **M12 (session sharing, D16)**, **M13 (auto-update, D18)**,
+> **M14 (AI assistant, D24)**, and **M15 (logging & reports, D25)**.
 > **M7 (stress/repro) was dropped (D7).** M10/M11 are the GUI and tray modules (D10/D11).
 > GPU scope reads "all (NVIDIA first)" — NVIDIA first, others via the vendor abstraction (D4).
 
@@ -20,6 +21,8 @@ Status: ⬜ not started · 🟦 designing · 🟨 in progress · ✅ done
 | M9 | Installer | (meta) | none | all | P1 | 🟨 |
 | M12 | Session sharing (shared terminal) | Sharing | none (relay) | all | P3 | ✅ |
 | M13 | Auto-update | (core) | none (stdlib; user-local file swap) | all | P3 | ✅ |
+| M14 | AI assistant (explain diagnostics) | (optional) | none (stdlib urllib; Ollama or Claude) | all | P3 | ✅ |
+| M15 | Logging & report bundles | (core) | none (stdlib logging + zip) | all | P3 | ✅ |
 | ~~M7~~ | ~~Stress / repro~~ | — | — | — | — | ❌ dropped (D7) |
 
 ## Notes per module
@@ -117,6 +120,22 @@ Status: ⬜ not started · 🟦 designing · 🟨 in progress · ✅ done
   atomic symlink swap → restart, incl. the daemon). HTTPS-only, version-check-only (no
   telemetry), opt-out-able. Surfaced in the GUI; `rigdoctor update` in the CLI. (`.deb` users
   update via apt instead.)
+- **M14 AI assistant** (D24) — optional, **strictly opt-in, never automatic**: explains the
+  collected diagnostics in plain language only when the user presses **"Explain with AI"**
+  (`core/ai.py`, GUI button on the diagnostic dialog, `rigdoctor ai explain`). The user picks a
+  provider explicitly (no default): **Ollama** (local, private, no key) or **Claude** (Anthropic
+  Messages API, key in the keyring; consent prompt before sending). Answers are **grounded** —
+  we pass the actual findings plus matched reference facts from a curated knowledge base
+  (`core/ai_knowledge.py`, "RAG-lite": exact keyword/code match, no embeddings, stdlib only),
+  which lifts a small local model and sharpens Claude. Stdlib `urllib` (no pip deps); output is
+  advisory (D9). Configure in **Settings → AI assistant**.
+
+- **M15 Logging & report bundles** (D25) — opt-in via one `logging_enabled` toggle (default off):
+  application logging to a rotating `app.log` (`core/applog.py`) and **per-diagnostic storage**
+  (`core/diagstore.py`) — each diagnostic gets its own `DATA_DIR/diagnostics/<id>/` (capture,
+  `result.json`, `report.txt`, scoped game logs, and an `ai/` record of every AI interaction:
+  exact data sent, model, reply). **"Report"** zips one into `DATA_DIR/reports/` (GUI button on
+  the diagnostic dialog; CLI `rigdoctor bundle`). Stays local; shareable on demand.
 
 ## Bundles (final — D14)
 - **Essential:** M1 + M3 + M4  *(the MVP, NVIDIA-only — D5)*
@@ -124,6 +143,7 @@ Status: ⬜ not started · 🟦 designing · 🟨 in progress · ✅ done
 - **Diagnostics:** M5 + M6
 - **Desktop UI:** M10 + M11  *(adds PySide6)*
 - **Sharing:** M12  *(session sharing / remote assist — D16)*
+- **AI:** M14  *(optional AI explanations — D24)*
 
 ## MVP candidate — *confirmed (D5)*
 **M1 + M3 + M4 (Essential), NVIDIA-only, CLI-first.** Gives a working tool that captures the

docs/ROADMAP.md

@@ -89,6 +89,21 @@ Ubuntu + NVIDIA first; `.deb` distribution (see `DECISIONS.md`).
 - [removed] The read-only stats view (`share serve`) and bundle export — dropped per D23; the
       shared terminal is the only sharing mode.
 
+## Phase 7 — AI assistant  (M14, D24)
+- [x] **Explain diagnostics with AI** — opt-in, never automatic (`core/ai.py`, "Explain with AI"
+      button + `rigdoctor ai explain`). Provider chosen explicitly: **Ollama** (local) or
+      **Claude** (Anthropic). Grounded with a curated reference KB (`core/ai_knowledge.py`,
+      RAG-lite, exact match — no embeddings); stdlib `urllib`. Settings → AI assistant.
+- [ ] *Possible follow-ups:* interactive chat grounded in the data; more reference-KB entries;
+      an "Explain" button on the System Health page.
+
+## Phase 8 — Logging & report bundles  (M15, D25)
+- [x] **Opt-in logging** (one `logging_enabled` toggle): rotating `app.log` (`core/applog.py`)
+      + **per-diagnostic storage** in its own directory (`core/diagstore.py`) — capture,
+      result, report, scoped game logs, and AI-interaction records.
+- [x] **Report** bundle — zip a diagnostic (incl. exactly what was sent to the AI, the model,
+      and its reply) into the reports folder. GUI button + `rigdoctor bundle`.
+
 > **Out of scope:** stress/repro module (D7); multi-distro support and packaging beyond
 > Ubuntu/apt + `.deb` (D15) — a thin seam is kept but not built out.
 

docs/SPEC.md

@@ -152,6 +152,25 @@ type too (e.g. a sudo password, which stays local and is never sent to B). Accou
 Gitea token; per-session share code. The shared terminal preserves colors/theming and can be
 viewed full-screen. *(The earlier read-only stats view / bundle export were dropped — D23.)*
 
+### M14 — AI assistant (D24)
+Optional module that explains the collected diagnostics in plain language. **Strictly opt-in and
+never automatic** — the model is contacted only when the user presses "Explain with AI" (GUI) or
+runs `rigdoctor ai explain`; configuring it contacts nothing. The user explicitly chooses a
+provider (no default): **Ollama** (local, private, no key) or **Claude** (Anthropic Messages
+API, key in the keyring, with a consent prompt before sending data). Answers are **grounded** in
+the actual findings plus matched reference facts from a curated, exact-match knowledge base
+("RAG-lite" — no embeddings/vector store, stdlib only); no fine-tuning. HTTP via stdlib `urllib`
+(no new core dependency); output is advisory (consistent with D9).
+
+### M15 — Logging & report bundles (D25)
+Opt-in (one `logging_enabled` toggle, default off). When on: the application logs to a rotating
+`app.log`, and **each diagnostic is stored in its own directory** (capture log, structured
+result, human-readable report, scoped game logs, and a record of every AI interaction — the
+exact data sent, the model, and its reply). A **Report** action zips one diagnostic's directory
+(plus the app log) into a shareable bundle saved under the reports folder (GUI button; CLI
+`rigdoctor bundle`). Everything stays local — a report only leaves the machine if the user
+shares the zip. Stdlib only (`logging` + `zipfile`).
+
 ## 5. Non-functional requirements
 - **Zero hard deps for the core/CLI/daemon** — Python stdlib + tools already present. **Qt
   (PySide6) is required only by the GUI (M10) and tray (M11) modules**, declared in the

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "rigdoctor"
-version = "0.26.0"
+version = "0.30.0"
 description = "Modular hardware monitoring & crash diagnostics for Linux gamers."
 readme = "README.md"
 requires-python = ">=3.11"

src/rigdoctor/__init__.py

@@ -1,3 +1,3 @@
 """RigDoctor — modular hardware monitoring & crash diagnostics for Linux gamers."""
 
-__version__ = "0.26.0"
+__version__ = "0.30.0"

src/rigdoctor/cli.py

@@ -438,6 +438,57 @@ def cmd_service(args) -> int:
     return 0
 
 
+def cmd_ai(args) -> int:
+    """AI assistant (M14) — opt-in; only contacts a provider on `test`/`explain`."""
+    from .core import ai
+
+    sub = args.ai_cmd or "status"
+    if sub == "status":
+        print(f"Provider: {ai.provider() or 'not configured'}")
+        if ai.provider():
+            print(f"  {ai.provider_label()}")
+            print(f"  ready:    {'yes' if ai.is_configured() else 'no'}")
+        else:
+            print("  Configure it in the GUI: Settings → AI assistant.")
+        return 0
+
+    if not ai.is_configured():
+        print("AI is not configured. Set it up in the GUI (Settings → AI assistant).")
+        return 1
+
+    if sub == "test":
+        ok, msg = ai.explain("Connectivity test — reply exactly: RigDoctor AI is working.")
+        print(msg)
+        return 0 if ok else 1
+
+    # explain: gather the current health findings and ask the provider to explain them.
+    from .core import health
+
+    findings = health.run_health_checks()
+    text = ai.format_findings(findings)
+    print(f"Asking {ai.provider_label()} to explain the current health findings…\n")
+    ok, msg = ai.explain(text)
+    print(msg)
+    return 0 if ok else 1
+
+
+def cmd_bundle(args) -> int:
+    """Zip the latest stored diagnostic into a report bundle (M15) — needs logging enabled."""
+    from .core import diagstore
+
+    if not diagstore.enabled():
+        print("Logging is off. Enable it (Settings → Logging, or set logging_enabled) so "
+              "diagnostics are stored and can be reported.")
+        return 1
+    directory = diagstore.latest_dir()
+    if directory is None:
+        print("No stored diagnostics yet — run a diagnostic first.")
+        return 1
+    out = diagstore.make_report(directory)
+    print(f"Report written: {out}")
+    return 0
+
+
 def cmd_gameenv(args) -> int:
     from dataclasses import asdict
 
@@ -645,10 +696,23 @@ def build_parser() -> argparse.ArgumentParser:
     mode_p.add_argument("mode", choices=("manual", "always-on", "game-launch"))
     mode_p.set_defaults(func=cmd_service)
     svc_p.set_defaults(func=cmd_service, service_cmd=None)
+
+    ai_p = sub.add_parser("ai", help="AI assistant (M14): explain diagnostics — opt-in, never automatic")
+    ai_sub = ai_p.add_subparsers(dest="ai_cmd")
+    ai_sub.add_parser("status", help="show the configured provider (contacts nothing)").set_defaults(func=cmd_ai)
+    ai_sub.add_parser("test", help="send a tiny probe to verify connectivity").set_defaults(func=cmd_ai)
+    ai_sub.add_parser("explain", help="explain the current health findings with AI").set_defaults(func=cmd_ai)
+    ai_p.set_defaults(func=cmd_ai, ai_cmd=None)
+
+    bundle_p = sub.add_parser("bundle", help="zip the latest stored diagnostic into a report bundle (M15)")
+    bundle_p.set_defaults(func=cmd_bundle)
     return p
 
 
 def main(argv: list[str] | None = None) -> int:
+    from .core import applog
+
+    applog.setup()  # opt-in app logging (M15); no-op unless logging_enabled
     args = build_parser().parse_args(argv)
     return args.func(args)
 

src/rigdoctor/config.py

@@ -37,12 +37,23 @@ SPAWN_LOG = STATE_DIR / "recorder.out"
 # not config: refreshed by the background scan on every launch).
 GAMES_FILE = STATE_DIR / "games.json"
 
+# Logging & reports (opt-in via `logging_enabled`). App log: rotating file of app events.
+# Each diagnostic is stored under DIAGNOSTICS_DIR/<id>/; "Report" zips one into REPORTS_DIR.
+APP_LOG = STATE_DIR / "app.log"
+DIAGNOSTICS_DIR = DATA_DIR / "diagnostics"
+REPORTS_DIR = DATA_DIR / "reports"
+
 # Update access token (M13) — gates updates to Gitea account holders (D18).
 # Stored in the OS keyring (Secret Service / GNOME Keyring) via `secret-tool` when
 # available — encrypted at rest, unlocked with the login session — else a 0600 file.
 TOKEN_FILE = CONFIG_DIR / "token"
 _SECRET_ATTRS = ["application", "rigdoctor", "type", "update-token"]
 
+# AI assistant (M14, D24) — API key for the Claude provider, stored in the keyring like the
+# update token (Ollama is local and needs none). Separate keyring entry + file fallback.
+AI_KEY_FILE = CONFIG_DIR / "ai-key"
+_AI_SECRET_ATTRS = ["application", "rigdoctor", "type", "ai-key"]
+
 
 def _secret_tool() -> str | None:
     return shutil.which("secret-tool")
@@ -53,27 +64,27 @@ def keyring_available() -> bool:
     return _secret_tool() is not None
 
 
-def _keyring_store(token: str) -> bool:
+def _keyring_store(value: str, attrs: list[str], label: str) -> bool:
     tool = _secret_tool()
     if not tool:
         return False
     try:
         proc = subprocess.run(
-            [tool, "store", "--label", "RigDoctor update token", *_SECRET_ATTRS],
+            [tool, "store", "--label", label, *attrs],
-            input=token, text=True, capture_output=True, timeout=20,
+            input=value, text=True, capture_output=True, timeout=20,
         )
         return proc.returncode == 0
     except (subprocess.SubprocessError, OSError):
         return False
 
 
-def _keyring_lookup() -> str | None:
+def _keyring_lookup(attrs: list[str]) -> str | None:
     tool = _secret_tool()
     if not tool:
         return None
     try:
         proc = subprocess.run(
-            [tool, "lookup", *_SECRET_ATTRS], text=True, capture_output=True, timeout=20
+            [tool, "lookup", *attrs], text=True, capture_output=True, timeout=20
         )
         if proc.returncode == 0 and proc.stdout.strip():
             return proc.stdout.strip()
@@ -82,54 +93,67 @@ def _keyring_lookup() -> str | None:
     return None
 
 
-def _keyring_clear() -> None:
+def _keyring_clear(attrs: list[str]) -> None:
     tool = _secret_tool()
     if not tool:
         return
     try:
-        subprocess.run([tool, "clear", *_SECRET_ATTRS], capture_output=True, timeout=20)
+        subprocess.run([tool, "clear", *attrs], capture_output=True, timeout=20)
     except (subprocess.SubprocessError, OSError):
         pass
 
 
+def _load_secret(env_var: str | None, attrs: list[str], file: Path) -> str | None:
+    if env_var:
+        env = os.environ.get(env_var)
+        if env and env.strip():
+            return env.strip()
+    from_keyring = _keyring_lookup(attrs)
+    if from_keyring:
+        return from_keyring
+    try:
+        value = file.read_text().strip()
+        return value or None
+    except OSError:
+        return None
+
+
+def _save_secret(value: str, attrs: list[str], label: str, file: Path) -> None:
+    value = value.strip()
+    if _keyring_store(value, attrs, label):
+        try:  # don't leave a plaintext copy once it's in the keyring
+            file.unlink()
+        except OSError:
+            pass
+        return
+    CONFIG_DIR.mkdir(parents=True, exist_ok=True)
+    file.write_text(value + "\n")
+    try:
+        file.chmod(0o600)
+    except OSError:
+        pass
+
+
+def _clear_secret(attrs: list[str], file: Path) -> None:
+    _keyring_clear(attrs)
+    try:
+        file.unlink()
+    except OSError:
+        pass
+
+
 def load_token() -> str | None:
     """Token from $RIGDOCTOR_TOKEN, then the OS keyring, then a 0600 file."""
-    env = os.environ.get("RIGDOCTOR_TOKEN")
+    return _load_secret("RIGDOCTOR_TOKEN", _SECRET_ATTRS, TOKEN_FILE)
-    if env and env.strip():
-        return env.strip()
-    from_keyring = _keyring_lookup()
-    if from_keyring:
-        return from_keyring
-    try:
-        token = TOKEN_FILE.read_text().strip()
-        return token or None
-    except OSError:
-        return None
 
 
 def save_token(token: str) -> None:
     """Save to the OS keyring if possible (encrypted); else a 0600 file."""
-    token = token.strip()
+    _save_secret(token, _SECRET_ATTRS, "RigDoctor update token", TOKEN_FILE)
-    if _keyring_store(token):
-        try:  # don't leave a plaintext copy once it's in the keyring
-            TOKEN_FILE.unlink()
-        except OSError:
-            pass
-        return
-    CONFIG_DIR.mkdir(parents=True, exist_ok=True)
-    TOKEN_FILE.write_text(token + "\n")
-    try:
-        TOKEN_FILE.chmod(0o600)
-    except OSError:
-        pass
 
 
 def clear_token() -> None:
-    _keyring_clear()
+    _clear_secret(_SECRET_ATTRS, TOKEN_FILE)
-    try:
-        TOKEN_FILE.unlink()
-    except OSError:
-        pass
 
 
 def token_backend() -> str:
@@ -137,12 +161,25 @@ def token_backend() -> str:
     env = os.environ.get("RIGDOCTOR_TOKEN")
     if env and env.strip():
         return "env"
-    if _keyring_lookup() is not None:
+    if _keyring_lookup(_SECRET_ATTRS) is not None:
         return "keyring"
     if TOKEN_FILE.exists():
         return "file"
     return "none"
 
+
+def load_ai_key() -> str | None:
+    """Claude API key from $RIGDOCTOR_AI_KEY, then the OS keyring, then a 0600 file (M14)."""
+    return _load_secret("RIGDOCTOR_AI_KEY", _AI_SECRET_ATTRS, AI_KEY_FILE)
+
+
+def save_ai_key(key: str) -> None:
+    _save_secret(key, _AI_SECRET_ATTRS, "RigDoctor AI key", AI_KEY_FILE)
+
+
+def clear_ai_key() -> None:
+    _clear_secret(_AI_SECRET_ATTRS, AI_KEY_FILE)
+
 DEFAULTS: dict = {
     "interval": 1.0,           # sampling interval in seconds (default ≤1 Hz — NFR)
     "log_max_bytes": 20_000_000,  # rotate a log segment past this size
@@ -156,6 +193,10 @@ DEFAULTS: dict = {
     "steam_libraries": [],        # Steam library paths to scan for games (M6); empty = none picked yet
     "trigger_mode": "manual",     # crash-logger trigger (D6): manual | always-on | game-launch
     "setup_done": False,          # first-run GUI setup wizard completed (M9)
+    "ai_provider": "",            # AI assistant (M14, D24): "" (unset) | "ollama" | "claude"
+    "ai_model": "",               # model name (e.g. "llama3.1" for Ollama; blank = Claude default)
+    "ai_endpoint": "http://localhost:11434",  # Ollama server base URL (Claude uses a fixed endpoint)
+    "logging_enabled": False,     # opt-in: app logging + per-diagnostic storage + Report (M15)
 }
 
 

src/rigdoctor/core/ai.py

@@ -0,0 +1,211 @@
+"""AI assistant (M14, D24): explain the collected diagnostics in plain language.
+
+**Strictly opt-in and never automatic** — the model is contacted ONLY from a direct user
+action ("Explain with AI" / ``rigdoctor ai explain``), never on launch, after a diagnostic, or
+in any loop. Choosing/configuring a provider does not contact anything. The user must pick a
+provider explicitly (there is no default).
+
+Two providers, both over stdlib ``urllib`` (no pip deps in core):
+  * **ollama** — a local server (data stays on the machine, no key).
+  * **claude** — the Anthropic Messages API (key in the keyring).
+
+Answers are *grounded*: we pass the actual findings plus matched reference facts
+(:mod:`ai_knowledge`) and ask the model to reason over them. Output is advisory (D9).
+"""
+
+from __future__ import annotations
+
+import json
+import re
+import urllib.error
+import urllib.request
+
+from .. import config
+from . import ai_knowledge
+
+_APPID_RE = re.compile(r"\b\d{5,7}\b")  # Steam app IDs are 5–7 digits
+
+PROVIDERS = ("ollama", "claude")
+OLLAMA_DEFAULT_ENDPOINT = "http://localhost:11434"
+# Suggested Ollama model — strong instruction-following that fits an 8 GB GPU at Q4. Because we
+# ground the prompt with reference facts, a 7B model is sufficient here.
+OLLAMA_SUGGESTED_MODEL = "qwen2.5:7b"
+CLAUDE_ENDPOINT = "https://api.anthropic.com/v1/messages"
+CLAUDE_DEFAULT_MODEL = "claude-opus-4-7"
+CLAUDE_MAX_TOKENS = 2000
+ANTHROPIC_VERSION = "2023-06-01"
+
+SYSTEM_PROMPT = (
+    "You are RigDoctor's hardware-diagnostics assistant for Linux gamers (Ubuntu + NVIDIA, games "
+    "via Steam/Proton). You are given session context, the structured findings RigDoctor "
+    "collected — which may include recent game/Proton/system log excerpts scoped to this session "
+    "— plus reference facts. Use the GAME NAME from the session context; never guess the game "
+    "from log paths or app IDs. Correlate log errors with the findings to pinpoint WHEN and WHY "
+    "things went wrong, identify the most likely root cause, and give concrete, ordered next "
+    "steps with exact Linux commands where useful.\n"
+    "Rules: Base your reasoning ONLY on the data and reference facts provided — never invent "
+    "readings, hardware, or log lines. This is LINUX: never suggest Windows-only steps (e.g. "
+    "'run as administrator', registry edits, toggling antivirus). Treat log lines flagged BENIGN "
+    "in the reference facts as non-causal. If no crash was recorded and there are no warning or "
+    "critical findings, say plainly that the session looks healthy and do NOT manufacture a "
+    "problem. Be concise. Present fixes as suggestions and warn before anything that risks data "
+    "loss or instability. Format your answer in Markdown."
+)
+
+
+def provider() -> str:
+    return config.load_config().get("ai_provider", "")
+
+
+def model() -> str:
+    m = config.load_config().get("ai_model", "").strip()
+    if m:
+        return m
+    return CLAUDE_DEFAULT_MODEL if provider() == "claude" else ""
+
+
+def endpoint() -> str:
+    ep = config.load_config().get("ai_endpoint", OLLAMA_DEFAULT_ENDPOINT).strip()
+    return ep or OLLAMA_DEFAULT_ENDPOINT
+
+
+def is_local() -> bool:
+    return provider() == "ollama"
+
+
+def is_configured() -> bool:
+    """Whether the chosen provider is ready (does NOT contact anything)."""
+    p = provider()
+    if p == "claude":
+        return bool(config.load_ai_key())
+    if p == "ollama":
+        return bool(model())  # a model name is required; endpoint has a default
+    return False  # no provider chosen
+
+
+def provider_label() -> str:
+    p = provider()
+    if p == "claude":
+        return f"Claude ({model()})"
+    if p == "ollama":
+        return f"Ollama ({model() or '?'} @ {endpoint()})"
+    return "not configured"
+
+
+def appid_glossary(text: str) -> str:
+    """Resolve Steam app IDs that appear in `text` against the user's scanned library.
+
+    We don't teach the model app IDs — we look them up locally and hand it the mapping, so it
+    names games correctly instead of guessing. Only IDs we can resolve are listed.
+    """
+    candidates = set(_APPID_RE.findall(text))
+    if not candidates:
+        return ""
+    try:
+        from . import steam
+        names = steam.appid_names()
+    except Exception:  # never let a glossary lookup break an explanation
+        return ""
+    known = sorted((i, names[i]) for i in candidates if i in names)
+    if not known:
+        return ""
+    return "App IDs (resolved from your installed games):\n" + "\n".join(
+        f"- {appid} = {name}" for appid, name in known)
+
+
+def build_prompt(findings_text: str) -> str:
+    """The user-message content: app-ID glossary + matched reference facts + the findings."""
+    parts = []
+    glossary = appid_glossary(findings_text)
+    if glossary:
+        parts.append(glossary)
+        parts.append("")
+    facts = ai_knowledge.relevant(findings_text)
+    if facts:
+        parts.append("Reference facts (use these to interpret the findings):")
+        parts += [f"- {f}" for f in facts]
+        parts.append("")
+    parts.append("Collected findings:")
+    parts.append(findings_text.strip() or "(no findings provided)")
+    return "\n".join(parts)
+
+
+def explain(findings_text: str, timeout: float = 120.0) -> tuple[bool, str]:
+    """Contact the configured provider to explain the findings. Returns (ok, text | error).
+
+    The caller MUST be a direct user action (D24) — this never runs automatically.
+    """
+    content = build_prompt(findings_text)
+    try:
+        if provider() == "claude":
+            return _claude(content, timeout)
+        if provider() == "ollama":
+            return _ollama(content, timeout)
+        return False, "No AI provider is configured (Settings → AI assistant)."
+    except urllib.error.HTTPError as exc:
+        return False, _http_error(exc)
+    except (urllib.error.URLError, OSError, TimeoutError) as exc:
+        return False, f"Couldn't reach the AI provider: {exc}"
+    except (ValueError, KeyError, IndexError) as exc:
+        return False, f"Unexpected response from the AI provider: {exc}"
+
+
+def _post(url: str, payload: dict, headers: dict, timeout: float) -> dict:
+    req = urllib.request.Request(
+        url, data=json.dumps(payload).encode("utf-8"),
+        headers={"Content-Type": "application/json", **headers},
+    )
+    with urllib.request.urlopen(req, timeout=timeout) as resp:
+        return json.load(resp)
+
+
+def _ollama(content: str, timeout: float) -> tuple[bool, str]:
+    if not model():
+        return False, "No Ollama model is set (Settings → AI assistant)."
+    payload = {"model": model(), "system": SYSTEM_PROMPT, "prompt": content, "stream": False}
+    out = _post(endpoint().rstrip("/") + "/api/generate", payload, {}, timeout)
+    return True, (out.get("response") or "").strip() or "(the model returned an empty response)"
+
+
+def _claude(content: str, timeout: float) -> tuple[bool, str]:
+    key = config.load_ai_key()
+    if not key:
+        return False, "No Claude API key is set (Settings → AI assistant)."
+    # One-shot call: no prompt caching (single request, short system prompt) and no thinking
+    # (keeps a button-press snappy). Sampling params are omitted (removed on current Opus).
+    payload = {
+        "model": model(),
+        "max_tokens": CLAUDE_MAX_TOKENS,
+        "system": SYSTEM_PROMPT,
+        "messages": [{"role": "user", "content": content}],
+    }
+    headers = {"x-api-key": key, "anthropic-version": ANTHROPIC_VERSION}
+    out = _post(CLAUDE_ENDPOINT, payload, headers, timeout)
+    text = "\n".join(b.get("text", "") for b in out.get("content", []) if b.get("type") == "text")
+    return True, text.strip() or "(the model returned no text)"
+
+
+def _http_error(exc: urllib.error.HTTPError) -> str:
+    detail = ""
+    try:
+        body = exc.read().decode("utf-8", "replace")
+        detail = json.loads(body).get("error", {}).get("message", "") or ""
+    except (ValueError, OSError):
+        pass
+    hint = " — check your API key in Settings → AI assistant." if exc.code in (401, 403) else ""
+    return f"AI request failed (HTTP {exc.code}){hint}{(': ' + detail) if detail else ''}"
+
+
+def format_findings(findings, header: str = "") -> str:
+    """Render M4 Finding objects (or similar) into the plain-text block we send the model."""
+    lines = [header] if header else []
+    for f in findings:
+        severity = str(getattr(f, "severity", "")).upper()
+        category = getattr(f, "category", "")
+        title = getattr(f, "title", "")
+        detail = getattr(f, "detail", "")
+        line = f"- [{severity}] {category}: {title}".rstrip()
+        if detail:
+            line += f" — {detail}"
+        lines.append(line)
+    return "\n".join(lines) if lines else "No findings."

src/rigdoctor/core/ai_knowledge.py

@@ -0,0 +1,91 @@
+"""Curated reference knowledge for the AI assistant (M14, D24) — "RAG-lite".
+
+A small, hand-written set of domain facts (Xid codes, SMART attributes, common Linux-gaming
+error signatures, tunable meanings). At explain-time we select the entries whose triggers
+appear in the collected findings and inject them into the prompt, so even a small local model
+gets the relevant facts instead of having to recall them. Provider-agnostic — it sharpens
+Claude too.
+
+Retrieval is exact keyword/substring matching, not embeddings: the keys here (``Xid 79``,
+``SMART 197``, ``fallen off the bus``) are precise, so a vector store would be overkill and
+would break the stdlib-only rule. Each entry is ``(triggers, fact)``; a trigger matches
+case-insensitively against the findings text.
+"""
+
+from __future__ import annotations
+
+# (triggers, fact). Keep facts short, factual, and cause-oriented — they go into the prompt.
+ENTRIES: list[tuple[tuple[str, ...], str]] = [
+    (("xid 79", "fallen off the bus", "gpu has fallen"),
+     "NVIDIA Xid 79 / 'GPU has fallen off the bus' = the driver lost PCIe contact with the GPU "
+     "mid-operation. Usual causes, in order: insufficient/unstable PSU power or a bad power "
+     "cable, an unstable overclock/undervolt, PCIe link or riser issues, or overheating. Often "
+     "fatal to the session (hard freeze)."),
+    (("xid 13", "graphics engine exception"),
+     "NVIDIA Xid 13 = graphics engine exception, frequently an unstable GPU overclock or a "
+     "faulty application shader; revert any OC/UV and test."),
+    (("xid 31", "fifo: mmu fault", "mmu fault"),
+     "NVIDIA Xid 31 = MMU fault (illegal memory access by the app/driver) — often a game/driver "
+     "bug or unstable VRAM overclock."),
+    (("xid 8", "xid 62", "xid 63", "xid 64"),
+     "These Xid codes commonly indicate VRAM/ECC or memory-training problems — suspect failing "
+     "VRAM or an unstable memory overclock."),
+    (("smart 197", "current_pending_sector", "pending sector"),
+     "SMART 197 (Current Pending Sector) > 0 = sectors the drive can't read and is waiting to "
+     "reallocate — early sign of a failing disk. Back up now and run an extended self-test."),
+    (("smart 198", "offline_uncorrectable", "uncorrectable"),
+     "SMART 198 (Offline Uncorrectable) > 0 = sectors that failed to read/write — the drive is "
+     "degrading; back up immediately."),
+    (("smart 5", "reallocated_sector", "reallocated sector"),
+     "SMART 5 (Reallocated Sectors) climbing over time = the drive is using spares for bad "
+     "sectors; a rising count predicts failure."),
+    (("media and data integrity errors", "percentage used", "available spare"),
+     "NVMe health: 'Media and Data Integrity Errors' > 0 is concerning; 'Percentage Used' near "
+     "or over 100% and 'Available Spare' below the threshold mean the SSD is near end-of-life."),
+    (("thermal throttling", "throttle", "tjmax", "package id 0"),
+     "Sustained CPU/GPU temperatures at the thermal limit cause throttling (clocks drop to shed "
+     "heat) — check cooling, fan curves, paste, and case airflow."),
+    (("oom", "out of memory", "oom-killer", "killed process"),
+     "The kernel OOM-killer terminates processes when RAM (and swap) are exhausted — a freeze "
+     "or a game crashing to desktop under memory pressure points here; check swap and "
+     "vm.swappiness, and watch for a memory leak."),
+    (("segfault", "general protection fault", "segmentation fault"),
+     "A segfault/GP-fault is a process accessing invalid memory — for games under Proton it's "
+     "often a Proton/Wine or anticheat incompatibility, or unstable RAM (run memtest)."),
+    (("proton", "wine", "d3d", "vkd3d", "dxvk"),
+     "Proton/Wine issues: mismatched Proton version, missing vkd3d/DXVK, or shader-cache "
+     "corruption are common. Try a known-good Proton version and clear the shader cache."),
+    (("pcie_aspm", "aspm"),
+     "PCIe ASPM (Active State Power Management) can cause GPU/NVMe instability on some boards; "
+     "setting pcie_aspm=off is a common stability fix at a small idle-power cost."),
+    (("cpu_governor", "powersave", "schedutil", "performance governor"),
+     "The CPU frequency governor sets the clock policy; 'performance' avoids latency spikes from "
+     "ramp-up at a higher power draw, while 'powersave'/'schedutil' favor efficiency."),
+    (("nvidia persistence", "persistence mode"),
+     "NVIDIA persistence mode keeps the driver loaded when no app is using the GPU, avoiding "
+     "re-init stalls — harmless to enable."),
+    (("libnvidia-ml.so", "interface.h", "failed to load \"libnvidia-ml"),
+     "BENIGN: a Steam log assertion 'Failed to load libnvidia-ml.so.1' (from interface.h) is "
+     "logged on many normal launches — the Steam runtime sandbox can't see the host NVML library. "
+     "It is NOT by itself a crash cause. Only investigate the driver if the GPU is genuinely "
+     "undetected (nvidia-smi fails)."),
+    (("minidump", ".dmp", "uploading minidump"),
+     "BENIGN-by-default: a minidump upload line means a crash handler ran AND that the game/engine "
+     "routinely uploads dumps; it is not proof that THIS session crashed unless a hard freeze or "
+     "non-zero exit was also recorded. Don't treat a routine minidump line as the root cause."),
+    (("fork without exec", "skipping destruction"),
+     "BENIGN: 'pid X != Y, skipping destruction (fork without exec?)' is routine Steam/Proton "
+     "process bookkeeping, not an error."),
+]
+
+
+def relevant(findings_text: str, limit: int = 8) -> list[str]:
+    """Reference facts whose triggers appear in the findings text (case-insensitive)."""
+    haystack = findings_text.lower()
+    hits: list[str] = []
+    for triggers, fact in ENTRIES:
+        if any(t in haystack for t in triggers):
+            hits.append(fact)
+        if len(hits) >= limit:
+            break
+    return hits

src/rigdoctor/core/applog.py

@@ -0,0 +1,63 @@
+"""Application logging (M15) — opt-in via the `logging_enabled` setting.
+
+When enabled, app events/errors are written to a rotating file (`config.APP_LOG`); when
+disabled, nothing is written (no file is created). All RigDoctor code logs through
+``applog.get_logger(__name__)``; the handler is attached once at startup by :func:`setup`.
+Stdlib ``logging`` only.
+"""
+
+from __future__ import annotations
+
+import logging
+from logging.handlers import RotatingFileHandler
+
+from .. import config
+
+_ROOT = "rigdoctor"
+_configured = False
+
+
+def setup(force: bool = False) -> bool:
+    """Attach the file handler if logging is enabled. Idempotent. Returns whether it's on."""
+    global _configured
+    logger = logging.getLogger(_ROOT)
+    enabled = bool(config.load_config().get("logging_enabled", False))
+
+    if not enabled:
+        if force:  # toggled off at runtime — detach so we stop writing
+            for h in list(logger.handlers):
+                logger.removeHandler(h)
+                h.close()
+            _configured = False
+        return False
+
+    if _configured and not force:
+        return True
+    for h in list(logger.handlers):  # avoid duplicate handlers on re-setup
+        logger.removeHandler(h)
+        h.close()
+    try:
+        config.STATE_DIR.mkdir(parents=True, exist_ok=True)
+        handler = RotatingFileHandler(config.APP_LOG, maxBytes=2_000_000, backupCount=3,
+                                      encoding="utf-8")
+        handler.setFormatter(logging.Formatter(
+            "%(asctime)s %(levelname)-7s %(name)s: %(message)s"))
+        logger.addHandler(handler)
+        logger.setLevel(logging.INFO)
+        logger.propagate = False
+        _configured = True
+        logger.info("logging started (rigdoctor %s)", _version())
+    except OSError:
+        return False
+    return True
+
+
+def get_logger(name: str) -> logging.Logger:
+    """A child logger. Safe to call before setup — it just won't write until enabled."""
+    short = name.split(".")[-1]
+    return logging.getLogger(f"{_ROOT}.{short}")
+
+
+def _version() -> str:
+    from .. import __version__
+    return __version__

src/rigdoctor/core/diagnostic.py

@@ -28,6 +28,7 @@ class DiagnosticResult:
     game: str | None
     summary: Summary           # capture window: peak temps/power, events, last samples (M3)
     findings: list[Finding]    # health findings: Xid/SMART/driver/etc. (M4)
+    dir: str | None = None     # storage directory when logging is on (M15); else None
 
 
 @dataclass
@@ -97,7 +98,22 @@ def finish(last_n: int = 10, log_path=None) -> DiagnosticResult:
     summary = summarize(path, last_n=last_n)
     game = _game_from_summary(summary) or (reccontrol.read_status() or {}).get("game")
     findings = run_health_checks()
-    return DiagnosticResult(game=game, summary=summary, findings=findings)
+    result = DiagnosticResult(game=game, summary=summary, findings=findings)
+    _store(result, path, summary)
+    return result
+
+
+def _store(result: DiagnosticResult, capture_path, summary: Summary) -> None:
+    """Persist the diagnostic to its own directory when logging is enabled (M15)."""
+    try:
+        from . import diagstore
+
+        since = (summary.start - 60) if summary.start else None
+        directory = diagstore.store(result, capture_path, since=since)
+        if directory:
+            result.dir = str(directory)
+    except Exception:  # storage must never break a diagnostic
+        pass
 
 
 # --- hard-crash detection & post-crash analysis -----------------------------------
@@ -184,4 +200,6 @@ def analyze_crash(last_n: int = 15) -> DiagnosticResult:
     findings += check_previous_boot()                       # the crashed boot's kernel log
     findings += run_health_checks(include_journal=False)    # SMART/driver/persistence/temps
     findings.sort(key=lambda f: _SEV_ORDER.get(f.severity, 9))
-    return DiagnosticResult(game=_game_from_summary(summary), summary=summary, findings=findings)
+    result = DiagnosticResult(game=_game_from_summary(summary), summary=summary, findings=findings)
+    _store(result, _crash_path(), summary)
+    return result

src/rigdoctor/core/diagstore.py

@@ -0,0 +1,136 @@
+"""Per-diagnostic storage + Report bundles (M15) — opt-in via `logging_enabled`.
+
+When logging is on, each finished diagnostic is persisted to its own directory under
+``config.DIAGNOSTICS_DIR/<id>/`` (capture log, structured result, human-readable report, a
+game-log snapshot, and any AI interactions). "Report" zips one directory — including exactly
+**what was sent to the AI, which model, and its reply** — into ``config.REPORTS_DIR``.
+"""
+
+from __future__ import annotations
+
+import json
+import shutil
+import time
+import zipfile
+from dataclasses import asdict, is_dataclass
+from pathlib import Path
+
+from .. import config
+
+
+def enabled() -> bool:
+    return bool(config.load_config().get("logging_enabled", False))
+
+
+def _slug(name: str | None) -> str:
+    s = "".join(c if c.isalnum() else "-" for c in (name or "session").lower())
+    return s.strip("-")[:40] or "session"
+
+
+def _new_dir(game: str | None) -> Path:
+    base = config.DIAGNOSTICS_DIR
+    stamp = time.strftime("%Y%m%d-%H%M%S")
+    name = f"{stamp}-{_slug(game)}"
+    target = base / name
+    n = 1
+    while target.exists():
+        target = base / f"{name}-{n}"
+        n += 1
+    target.mkdir(parents=True, exist_ok=True)
+    return target
+
+
+def _as_dict(obj):
+    if is_dataclass(obj):
+        return asdict(obj)
+    return getattr(obj, "__dict__", {}) or str(obj)
+
+
+def store(result, capture_path=None, since: float | None = None) -> Path | None:
+    """Persist a finished diagnostic to its own directory. Returns the dir, or None if off."""
+    if not enabled():
+        return None
+    from ..render import render_summary
+    from . import ai, gamelogs
+
+    target = _new_dir(getattr(result, "game", None))
+
+    if capture_path and Path(capture_path).exists():
+        try:
+            shutil.copyfile(capture_path, target / "capture.jsonl")
+        except OSError:
+            pass
+
+    payload = {
+        "game": getattr(result, "game", None),
+        "stored_at": time.time(),
+        "summary": _as_dict(result.summary),
+        "findings": [_as_dict(f) for f in result.findings],
+    }
+    _write(target / "result.json", json.dumps(payload, indent=2, default=str))
+
+    report = [f"Game: {getattr(result, 'game', None) or 'unknown'}", "",
+              render_summary(result.summary), "",
+              ai.format_findings(result.findings, header="Findings:")]
+    _write(target / "report.txt", "\n".join(report))
+
+    try:
+        logs = gamelogs.collect(since=since)
+        if logs:
+            _write(target / "gamelogs.txt", logs)
+    except OSError:
+        pass
+    return target
+
+
+def record_ai(diag_dir, *, provider: str, model: str, system: str, prompt: str, response: str) -> None:
+    """Save one AI interaction (exact data sent, model, reply) into the diagnostic's `ai/` dir."""
+    if not diag_dir:
+        return
+    out = Path(diag_dir) / "ai"
+    try:
+        out.mkdir(parents=True, exist_ok=True)
+    except OSError:
+        return
+    stamp = time.strftime("%Y%m%d-%H%M%S")
+    record = {
+        "timestamp": time.time(), "provider": provider, "model": model,
+        "system_prompt": system, "data_sent_to_model": prompt, "model_reply": response,
+    }
+    _write(out / f"explain-{stamp}.json", json.dumps(record, indent=2, default=str))
+    readable = (
+        f"Provider: {provider}\nModel:    {model}\n\n"
+        f"=== System prompt ===\n{system}\n\n"
+        f"=== Data sent to the model ===\n{prompt}\n\n"
+        f"=== Model reply ===\n{response}\n"
+    )
+    _write(out / f"explain-{stamp}.txt", readable)
+
+
+def make_report(diag_dir) -> Path:
+    """Zip a diagnostic directory (plus the app log) into REPORTS_DIR; return the zip path."""
+    diag_dir = Path(diag_dir)
+    config.REPORTS_DIR.mkdir(parents=True, exist_ok=True)
+    out = config.REPORTS_DIR / f"report-{diag_dir.name}.zip"
+    with zipfile.ZipFile(out, "w", zipfile.ZIP_DEFLATED) as zf:
+        for path in sorted(diag_dir.rglob("*")):
+            if path.is_file():
+                zf.write(path, arcname=str(Path(diag_dir.name) / path.relative_to(diag_dir)))
+        if config.APP_LOG.exists():  # the application log, for context around the session
+            zf.write(config.APP_LOG, arcname=str(Path(diag_dir.name) / "app.log"))
+    return out
+
+
+def latest_dir() -> Path | None:
+    try:
+        dirs = [d for d in config.DIAGNOSTICS_DIR.iterdir() if d.is_dir()]
+    except OSError:
+        return None
+    return max(dirs, key=lambda d: d.stat().st_mtime) if dirs else None
+
+
+def _write(path: Path, text: str) -> None:
+    try:
+        path.write_text(text, encoding="utf-8")
+    except OSError:
+        pass

src/rigdoctor/core/gamelogs.py

@@ -0,0 +1,116 @@
+"""Collect recent game / Proton / Steam logs to enrich an AI diagnostic (M14).
+
+Reads logs that already exist on disk — no change to how the game is launched. Two reliable
+sources: Proton's per-app log (``~/steam-<appid>.log``, written when ``PROTON_LOG=1``) and
+Steam's own console log. Each is tail-read and size-bounded so the AI prompt stays small. The
+text is fed to the AI alongside the findings so it can see *when* something went wrong (a
+vkd3d/DXVK error, a crash line, the exit code) rather than only the sensor summary.
+"""
+
+from __future__ import annotations
+
+import os
+import re
+import time
+from pathlib import Path
+
+# Steam keeps logs under its install root; ~/.steam/steam usually symlinks to the real one.
+_STEAM_LOG_DIRS = ("~/.steam/steam/logs", "~/.local/share/Steam/logs", "~/.steam/root/logs")
+_STEAM_LOG_FILES = ("console-linux.txt", "console_log.txt", "stderr.txt")
+_TS = re.compile(r"^\[(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2})\]")
+
+
+def _line_epoch(line: str) -> float | None:
+    m = _TS.match(line)
+    if not m:
+        return None
+    try:
+        return time.mktime(time.strptime(m.group(1), "%Y-%m-%d %H:%M:%S"))
+    except ValueError:
+        return None
+
+
+def _since_filter(text: str, since: float) -> str:
+    """Keep lines from the first timestamp >= `since` onward (logs are chronological).
+
+    Untimestamped lines before the window are dropped; once inside the window every line is
+    kept (so multi-line entries survive). This scopes a long-lived Steam log to one session.
+    """
+    out: list[str] = []
+    including = False
+    for line in text.splitlines():
+        epoch = _line_epoch(line)
+        if epoch is not None and epoch >= since:
+            including = True
+        if including:
+            out.append(line)
+    return "\n".join(out)
+
+
+def _tail(path: Path, max_bytes: int) -> str:
+    """Last ``max_bytes`` of a file, decoded leniently (empty string on error)."""
+    try:
+        size = path.stat().st_size
+        with path.open("rb") as fh:
+            if size > max_bytes:
+                fh.seek(size - max_bytes)
+            return fh.read().decode("utf-8", "replace")
+    except OSError:
+        return ""
+
+
+def _proton_logs() -> list[Path]:
+    try:
+        logs = list(Path.home().glob("steam-*.log"))
+    except OSError:
+        return []
+    return sorted(logs, key=lambda p: p.stat().st_mtime, reverse=True)
+
+
+def _steam_console() -> Path | None:
+    for directory in _STEAM_LOG_DIRS:
+        base = Path(os.path.expanduser(directory))
+        for name in _STEAM_LOG_FILES:
+            candidate = base / name
+            if candidate.exists():
+                return candidate
+    return None
+
+
+def available() -> bool:
+    return bool(_proton_logs() or _steam_console())
+
+
+def collect(since: float | None = None, max_bytes: int = 8000) -> str:
+    """Recent Proton + Steam log tails as one labelled text block ('' if none).
+
+    With ``since`` (epoch), scope to that session: skip a Proton log not written during/after
+    the session (a stale per-app log from an earlier game), and keep only Steam-console lines
+    timestamped at/after ``since`` — so we don't feed the model an unrelated past session.
+    """
+    sections: list[str] = []
+
+    protons = _proton_logs()
+    if protons:
+        log = protons[0]
+        fresh = since is None or _mtime(log) >= since
+        tail = _tail(log, max_bytes).strip() if fresh else ""
+        if tail:
+            sections.append(f"--- Proton log ({log.name}) ---\n{tail}")
+
+    console = _steam_console()
+    if console:
+        raw = _tail(console, 40000 if since else max_bytes)
+        if since is not None:
+            raw = _since_filter(raw, since)
+        raw = raw.strip()[-max_bytes:].strip()
+        if raw:
+            sections.append(f"--- Steam log ({console.name}) ---\n{raw}")
+    return "\n\n".join(sections)
+
+
+def _mtime(path: Path) -> float:
+    try:
+        return path.stat().st_mtime
+    except OSError:
+        return 0.0

src/rigdoctor/core/steam.py

@@ -318,6 +318,11 @@ def cached_games() -> list[Game]:
     return [Game(**{k: g[k] for k in Game.__dataclass_fields__ if k in g}) for g in cache.get("games", [])]
 
 
+def appid_names() -> dict[str, str]:
+    """{appid: name} for the user's scanned games — lets us resolve IDs seen in logs (M14)."""
+    return {g.appid: g.name for g in cached_games() if g.appid and g.name}
+
+
 def rescan(cfg: dict | None = None) -> ScanResult:
     """Scan the selected libraries, diff against the cache, and persist the result.
 

src/rigdoctor/gui/app.py

@@ -17,6 +17,10 @@ ICON = Path(__file__).parent / "assets" / "rigdoctor.svg"
 
 
 def main(argv: list[str] | None = None) -> int:
+    from ..core import applog
+
+    applog.setup()  # opt-in app logging (M15); no-op unless logging_enabled
+    applog.get_logger(__name__).info("GUI starting")
     desktop.ensure()  # self-register icon + .desktop so updates show it without re-installing
     app = QApplication(argv if argv is not None else sys.argv)
     app.setApplicationName("RigDoctor")

src/rigdoctor/gui/diagnostic_dialog.py

@@ -2,15 +2,19 @@
 
 from __future__ import annotations
 
-from PySide6.QtCore import Qt
+import threading
+
+from PySide6.QtCore import Qt, Signal
 from PySide6.QtGui import QFont
 from PySide6.QtWidgets import (
     QDialog,
     QFrame,
     QHBoxLayout,
     QLabel,
+    QMessageBox,
     QPushButton,
     QScrollArea,
+    QTextEdit,
     QVBoxLayout,
     QWidget,
 )
@@ -20,8 +24,12 @@ from .widgets import finding_card
 
 
 class DiagnosticDialog(QDialog):
+    _explained = Signal(object)  # (ok, text) from a user-triggered AI explanation
+
     def __init__(self, result, parent=None) -> None:
         super().__init__(parent)
+        self._result = result
+        self._explained.connect(self._on_explained)
         self.setWindowTitle(f"Diagnostic — {result.game}" if result.game else "Diagnostic")
         self.resize(660, 680)
 
@@ -73,9 +81,123 @@ class DiagnosticDialog(QDialog):
         root.addWidget(scroll, 1)
 
         buttons = QHBoxLayout()
+        self._explain_btn = QPushButton("Explain with AI")
+        self._explain_btn.clicked.connect(self._explain_with_ai)
+        from ..core import ai
+        self._explain_btn.setVisible(ai.is_configured())  # opt-in only; hidden if not set up
+        buttons.addWidget(self._explain_btn)
+        self._report_btn = QPushButton("Report")  # zip this diagnostic's logs (M15)
+        self._report_btn.clicked.connect(self._make_report)
+        self._report_btn.setVisible(bool(result.dir))  # only when logging stored the session
+        buttons.addWidget(self._report_btn)
         buttons.addStretch(1)
         close = QPushButton("Close")
         close.setObjectName("PrimaryButton")
         close.clicked.connect(self.accept)
         buttons.addWidget(close)
         root.addLayout(buttons)
+
+    # --- AI explanation (M14, D24) — runs only on this button press ----------------
+    def _explain_with_ai(self) -> None:
+        from ..core import ai
+
+        if not ai.is_local():  # cloud provider → explicit consent before sending data
+            confirm = QMessageBox.question(
+                self, "Send to AI provider",
+                f"This sends your diagnostic findings to {ai.provider_label()}.\n\nContinue?",
+                QMessageBox.StandardButton.Yes | QMessageBox.StandardButton.No,
+                QMessageBox.StandardButton.No,
+            )
+            if confirm != QMessageBox.StandardButton.Yes:
+                return
+        self._explain_btn.setEnabled(False)
+        self._explain_btn.setText("Asking the AI…")
+        threading.Thread(target=self._work_explain, daemon=True).start()
+
+    def _work_explain(self) -> None:
+        from ..core import ai, gamelogs
+
+        result = self._result
+        summary = result.summary
+        events = {kind for _ts, kind, _detail in summary.events}
+        clean = "session-stop" in events
+        gpu_lost = "gpu-lost" in events
+
+        lines = [f"Game: {result.game or 'unknown'}"]
+        if summary.start and summary.end:
+            lines.append(f"Capture duration: ~{int(summary.end - summary.start)}s")
+        outcome = "ended cleanly (no crash detected)" if clean else \
+            "ended without a clean stop (possible crash/freeze)"
+        if gpu_lost:
+            outcome += "; a GPU-lost event was recorded"
+        lines.append(f"Outcome: {outcome}")
+        lines.append("")
+        lines.append(ai.format_findings(result.findings, header="Findings:"))
+        lines.append("\nCapture summary:\n" + render_summary(summary))
+
+        since = (summary.start - 60) if summary.start else None
+        logs = gamelogs.collect(since=since)  # scoped to this session
+        if logs:
+            lines.append("\nGame/Proton/Steam logs for this session:\n" + logs)
+        text = "\n".join(lines)
+        ok, reply = ai.explain(text)
+        if result.dir:  # record exactly what was sent, the model, and the reply (M15)
+            from ..core import diagstore
+            diagstore.record_ai(
+                result.dir, provider=ai.provider(), model=ai.model(),
+                system=ai.SYSTEM_PROMPT, prompt=ai.build_prompt(text),
+                response=reply if ok else f"[error] {reply}")
+        self._explained.emit((ok, reply))
+
+    def _on_explained(self, result) -> None:
+        ok, text = result
+        self._explain_btn.setEnabled(True)
+        self._explain_btn.setText("Explain with AI")
+        self._show_explanation(text if ok else f"AI explanation failed:\n\n{text}")
+
+    # --- Report bundle (M15) ------------------------------------------------------
+    def _make_report(self) -> None:
+        from PySide6.QtCore import QUrl
+        from PySide6.QtGui import QDesktopServices
+
+        from ..core import diagstore
+
+        self._report_btn.setEnabled(False)
+        try:
+            out = diagstore.make_report(self._result.dir)
+        except OSError as exc:
+            self._report_btn.setEnabled(True)
+            QMessageBox.warning(self, "Report failed", str(exc))
+            return
+        self._report_btn.setEnabled(True)
+        box = QMessageBox(self)
+        box.setWindowTitle("Report created")
+        box.setText(f"Saved report:\n{out}\n\nIt contains this diagnostic's logs and any AI "
+                    "interaction (data sent, model, and reply).")
+        open_btn = box.addButton("Open folder", QMessageBox.ButtonRole.ActionRole)
+        box.addButton("OK", QMessageBox.ButtonRole.AcceptRole)
+        box.exec()
+        if box.clickedButton() is open_btn:
+            QDesktopServices.openUrl(QUrl.fromLocalFile(str(out.parent)))
+
+    def _show_explanation(self, text: str) -> None:
+        from ..core import ai
+
+        dlg = QDialog(self)
+        dlg.setWindowTitle(f"AI explanation — {ai.provider_label()}")
+        dlg.resize(620, 520)
+        lay = QVBoxLayout(dlg)
+        view = QTextEdit()
+        view.setObjectName("Report")
+        view.setReadOnly(True)
+        view.setMarkdown(text)  # the model replies in Markdown — render it
+        lay.addWidget(view)
+        note = QLabel("AI-generated suggestions — verify before acting, especially anything that changes settings or data.")
+        note.setObjectName("Muted")
+        note.setWordWrap(True)
+        lay.addWidget(note)
+        close = QPushButton("Close")
+        close.setObjectName("PrimaryButton")
+        close.clicked.connect(dlg.accept)
+        lay.addWidget(close, alignment=Qt.AlignmentFlag.AlignRight)
+        dlg.exec()

src/rigdoctor/gui/setup_page.py

@@ -8,6 +8,7 @@ from PySide6.QtCore import Qt, QUrl, Signal
 from PySide6.QtGui import QDesktopServices
 from PySide6.QtWidgets import (
     QApplication,
+    QButtonGroup,
     QCheckBox,
     QComboBox,
     QDoubleSpinBox,
@@ -18,6 +19,7 @@ from PySide6.QtWidgets import (
     QLineEdit,
     QMessageBox,
     QPushButton,
+    QRadioButton,
     QSizePolicy,
     QTextEdit,
     QVBoxLayout,
@@ -25,7 +27,7 @@ from PySide6.QtWidgets import (
 )
 
 from .. import config
-from ..core import alerts, installer, service, sysenv, uninstall, updates
+from ..core import ai, alerts, installer, service, sysenv, uninstall, updates
 from .theme import GOOD, MUTED, WARN
 
 
@@ -54,6 +56,7 @@ class SetupPage(QWidget):
     _installed = Signal(int, str)
     _upd_state = Signal(object)
     _mode_applied = Signal(object)  # (mode, ok, message) from a trigger-mode change
+    _ai_tested = Signal(object)  # (ok, message) from an AI connectivity test
     changed = Signal()  # alert settings saved — main window re-applies them live
 
     def __init__(self) -> None:
@@ -62,6 +65,7 @@ class SetupPage(QWidget):
         self._installed.connect(self._on_installed)
         self._upd_state.connect(self._on_upd_state)
         self._mode_applied.connect(self._on_mode_applied)
+        self._ai_tested.connect(self._on_ai_tested)
 
         root = QVBoxLayout(self)
         root.setContentsMargins(20, 18, 20, 18)
@@ -158,6 +162,76 @@ class SetupPage(QWidget):
             self._trigger_status.setText("systemd --user isn't available on this system.")
         root.addWidget(trig_card)
 
+        # AI assistant (M14, D24): explain diagnostics. Strictly opt-in — the model is only
+        # contacted when the user presses "Explain with AI"; this panel just configures it.
+        ai_card, ai_layout = _panel("AI assistant")
+        ai_desc = QLabel(
+            "Optionally let an AI explain your diagnostics in plain language. It runs <b>only</b> "
+            "when you press “Explain with AI” — never automatically. Choose a provider:\n"
+            "•  Ollama — a local model on your machine (private, no key; needs Ollama running).\n"
+            "•  Claude — Anthropic's API (higher quality; sends findings to Anthropic; needs a key)."
+        )
+        ai_desc.setObjectName("Muted")
+        ai_desc.setWordWrap(True)
+        ai_layout.addWidget(ai_desc)
+
+        prov_row = QHBoxLayout()
+        self._ai_group = QButtonGroup(self)
+        self._ai_ollama = QRadioButton("Ollama (local)")
+        self._ai_claude = QRadioButton("Claude (Anthropic)")
+        self._ai_group.addButton(self._ai_ollama)
+        self._ai_group.addButton(self._ai_claude)
+        self._ai_ollama.toggled.connect(self._on_ai_provider_changed)
+        prov_row.addWidget(self._ai_ollama)
+        prov_row.addWidget(self._ai_claude)
+        prov_row.addStretch(1)
+        ai_layout.addLayout(prov_row)
+
+        self._ai_model = QLineEdit()
+        self._ai_model.setPlaceholderText(
+            f"Model (e.g. {ai.OLLAMA_SUGGESTED_MODEL} for Ollama; blank = Claude default)")
+        ai_layout.addWidget(self._ai_model)
+        self._ai_endpoint = QLineEdit()
+        self._ai_endpoint.setPlaceholderText("Ollama server URL (default http://localhost:11434)")
+        ai_layout.addWidget(self._ai_endpoint)
+        self._ai_key = QLineEdit()
+        self._ai_key.setEchoMode(QLineEdit.EchoMode.Password)
+        self._ai_key.setPlaceholderText("Claude API key (stored in your keyring)")
+        ai_layout.addWidget(self._ai_key)
+
+        ai_btn_row = QHBoxLayout()
+        ai_save = QPushButton("Save")
+        ai_save.setObjectName("PrimaryButton")
+        ai_save.clicked.connect(self._save_ai)
+        self._ai_test_btn = QPushButton("Test")
+        self._ai_test_btn.clicked.connect(self._test_ai)
+        ai_btn_row.addWidget(ai_save)
+        ai_btn_row.addWidget(self._ai_test_btn)
+        ai_btn_row.addStretch(1)
+        ai_layout.addLayout(ai_btn_row)
+        self._ai_status = QLabel("")
+        self._ai_status.setObjectName("Muted")
+        self._ai_status.setWordWrap(True)
+        ai_layout.addWidget(self._ai_status)
+        root.addWidget(ai_card)
+
+        # Logging (M15): opt-in app logging + per-diagnostic storage (enables the Report bundle).
+        log_card, log_layout = _panel("Logging")
+        log_desc = QLabel(
+            "Save application logs and store each diagnostic in its own folder so you can review "
+            "or <b>Report</b> it. Off by default; everything stays on your machine.\n"
+            f"•  Diagnostics: {config.DIAGNOSTICS_DIR}\n"
+            f"•  Reports: {config.REPORTS_DIR}"
+        )
+        log_desc.setObjectName("Muted")
+        log_desc.setWordWrap(True)
+        log_layout.addWidget(log_desc)
+        self._logging = QCheckBox("Enable logging (application + diagnostics)")
+        self._logging.setChecked(config.load_config().get("logging_enabled", False))
+        self._logging.toggled.connect(self._toggle_logging)
+        log_layout.addWidget(self._logging)
+        root.addWidget(log_card)
+
         # Account access (M13/M12): one Gitea token gates updates and session sharing.
         upd_card, upd_layout = _panel("Account access")
         hint = QLabel("A Gitea access token unlocks updates and session sharing. "
@@ -203,8 +277,72 @@ class SetupPage(QWidget):
         self._refresh()
         self._load_alerts()
         self._trigger.setCurrentText(config.load_config().get("trigger_mode", "manual"))
+        self._load_ai()
         self._refresh_update_status()
 
+    # --- AI assistant (M14) ---------------------------------------------------
+    def _load_ai(self) -> None:
+        cfg = config.load_config()
+        prov = cfg.get("ai_provider", "")
+        self._ai_claude.setChecked(prov == "claude")
+        self._ai_ollama.setChecked(prov == "ollama")
+        self._ai_model.setText(cfg.get("ai_model", ""))
+        self._ai_endpoint.setText(cfg.get("ai_endpoint", "http://localhost:11434"))
+        if config.load_ai_key():
+            self._ai_key.setPlaceholderText("Claude API key saved — type to replace")
+        self._on_ai_provider_changed()
+
+    def _ai_provider(self) -> str:
+        if self._ai_claude.isChecked():
+            return "claude"
+        if self._ai_ollama.isChecked():
+            return "ollama"
+        return ""
+
+    def _on_ai_provider_changed(self) -> None:
+        prov = self._ai_provider()
+        self._ai_endpoint.setVisible(prov == "ollama")
+        self._ai_key.setVisible(prov == "claude")
+        self._ai_test_btn.setEnabled(prov != "")
+        if prov == "ollama" and not self._ai_model.text().strip():
+            self._ai_model.setText(ai.OLLAMA_SUGGESTED_MODEL)  # suggested default; user can change
+
+    def _save_ai(self) -> None:
+        prov = self._ai_provider()
+        config.update_config(
+            ai_provider=prov,
+            ai_model=self._ai_model.text().strip(),
+            ai_endpoint=self._ai_endpoint.text().strip() or "http://localhost:11434",
+        )
+        if prov == "claude" and self._ai_key.text().strip():
+            config.save_ai_key(self._ai_key.text().strip())
+            self._ai_key.clear()
+            self._ai_key.setPlaceholderText("Claude API key saved — type to replace")
+        self._ai_status.setText("Saved." if prov else "Saved — no provider selected (AI stays off).")
+
+    def _test_ai(self) -> None:
+        self._save_ai()
+        self._ai_status.setText("Testing… contacting the provider.")
+        self._ai_test_btn.setEnabled(False)
+        threading.Thread(target=self._work_test_ai, daemon=True).start()
+
+    def _work_test_ai(self) -> None:
+        from ..core import ai
+
+        ok, msg = ai.explain("Connectivity test — reply exactly: RigDoctor AI is working.")
+        self._ai_tested.emit((ok, msg))
+
+    def _on_ai_tested(self, result) -> None:
+        ok, msg = result
+        self._ai_test_btn.setEnabled(True)
+        self._ai_status.setText(("✓ " if ok else "✗ ") + (msg[:200] if msg else ""))
+
+    def _toggle_logging(self, on: bool) -> None:
+        from ..core import applog
+
+        config.update_config(logging_enabled=on)
+        applog.setup(force=True)  # attach/detach the file handler immediately
+
     def _run_wizard(self) -> None:
         from .setup_wizard import SetupWizard
 

src/rigdoctor/gui/setup_wizard.py

@@ -117,7 +117,7 @@ class SetupWizard(QDialog):
             tag = " — all installed ✓" if not missing else f" — {len(missing)} to install"
             cb = QCheckBox(f"{bundle}: {names}{tag}")
             cb.setChecked(bool(missing))  # default-check bundles with something to add
-            cb.setEnabled(bool(missing) and sysenv.package_manager() == "apt")
+            cb.setEnabled(sysenv.package_manager() == "apt")  # selectable even if already installed
             self._bundle_checks[bundle] = cb
             v.addWidget(cb)
         if sysenv.package_manager() != "apt":

src/rigdoctor/gui/theme.py

@@ -144,6 +144,24 @@ QCheckBox::indicator:hover {{ border-color: {ACCENT}; }}
 QCheckBox::indicator:checked {{
     background: {ACCENT}; border-color: {ACCENT}; image: url("{_CHECK}");
 }}
+QCheckBox::indicator:disabled {{ border-color: #3a414d; background: #1c2026; }}
+QCheckBox::indicator:checked:disabled {{ background: #2a6175; border-color: #2a6175; }}
+QCheckBox:disabled {{ color: {MUTED}; }}
+
+/* Radio buttons — same dark treatment as checkboxes; the selected one gets a clear
+   accent dot (Fusion leaves these unstyled = the selection is invisible on dark). */
+QRadioButton {{ spacing: 8px; background: transparent; }}
+QRadioButton::indicator {{
+    width: 17px; height: 17px; border-radius: 9px;
+    border: 1px solid {MUTED}; background: #262b34;
+}}
+QRadioButton::indicator:hover {{ border-color: {ACCENT}; }}
+QRadioButton::indicator:checked {{
+    border: 1px solid {ACCENT};
+    background: qradialgradient(cx:0.5, cy:0.5, radius:0.5, fx:0.5, fy:0.5,
+        stop:0 {ACCENT}, stop:0.5 {ACCENT}, stop:0.55 #262b34, stop:1 #262b34);
+}}
+QRadioButton:disabled {{ color: {MUTED}; }}
 
 /* Dialogs (update prompt, changelog) — match the dark theme so text is readable. */
 QDialog {{ background: {BG}; }}

tests/test_ai.py

@@ -0,0 +1,118 @@
+"""Tests for the M14 AI assistant: provider selection, grounding, parsing (no network)."""
+
+import unittest
+from unittest import mock
+
+from rigdoctor.core import ai, ai_knowledge
+
+
+class KnowledgeTests(unittest.TestCase):
+    def test_matches_xid_and_smart(self):
+        facts = ai_knowledge.relevant("Kernel: NVRM: Xid 79: GPU has fallen off the bus")
+        self.assertTrue(any("fallen off the bus" in f for f in facts))
+
+    def test_matches_smart_pending(self):
+        facts = ai_knowledge.relevant("SMART 197 Current_Pending_Sector = 8")
+        self.assertTrue(any("Pending Sector" in f for f in facts))
+
+    def test_no_match_returns_empty(self):
+        self.assertEqual(ai_knowledge.relevant("everything is fine"), [])
+
+
+class ConfigStateTests(unittest.TestCase):
+    def _cfg(self, **over):
+        base = {"ai_provider": "", "ai_model": "", "ai_endpoint": "http://localhost:11434"}
+        base.update(over)
+        return base
+
+    def test_unconfigured_by_default(self):
+        with mock.patch.object(ai.config, "load_config", return_value=self._cfg()):
+            self.assertFalse(ai.is_configured())
+
+    def test_ollama_needs_model(self):
+        with mock.patch.object(ai.config, "load_config", return_value=self._cfg(ai_provider="ollama")):
+            self.assertFalse(ai.is_configured())
+        with mock.patch.object(ai.config, "load_config",
+                               return_value=self._cfg(ai_provider="ollama", ai_model="llama3.1")):
+            self.assertTrue(ai.is_configured())
+
+    def test_claude_needs_key(self):
+        with mock.patch.object(ai.config, "load_config", return_value=self._cfg(ai_provider="claude")), \
+             mock.patch.object(ai.config, "load_ai_key", return_value=None):
+            self.assertFalse(ai.is_configured())
+        with mock.patch.object(ai.config, "load_config", return_value=self._cfg(ai_provider="claude")), \
+             mock.patch.object(ai.config, "load_ai_key", return_value="sk-ant-x"):
+            self.assertTrue(ai.is_configured())
+
+    def test_claude_default_model(self):
+        with mock.patch.object(ai.config, "load_config", return_value=self._cfg(ai_provider="claude")):
+            self.assertEqual(ai.model(), ai.CLAUDE_DEFAULT_MODEL)
+
+
+class PromptTests(unittest.TestCase):
+    def test_build_prompt_includes_facts_and_findings(self):
+        prompt = ai.build_prompt("Xid 79: GPU has fallen off the bus")
+        self.assertIn("Reference facts", prompt)
+        self.assertIn("Collected findings", prompt)
+        self.assertIn("fallen off the bus", prompt)
+
+    def test_format_findings(self):
+        class F:
+            severity, category, title, detail = "warn", "GPU", "Hot", "92C"
+        text = ai.format_findings([F()])
+        self.assertIn("[WARN] GPU: Hot — 92C", text)
+
+    def test_appid_glossary_resolves_known_ids(self):
+        from rigdoctor.core import steam
+        with mock.patch.object(steam, "appid_names", return_value={"2694490": "Path of Exile 2"}):
+            glossary = ai.appid_glossary("Steam log: removed AppID 2694490 ... pid 130544")
+        self.assertIn("2694490 = Path of Exile 2", glossary)
+
+    def test_appid_glossary_ignores_unknown_ids(self):
+        from rigdoctor.core import steam
+        with mock.patch.object(steam, "appid_names", return_value={"570": "Dota 2"}):
+            self.assertEqual(ai.appid_glossary("pid 130544 used 8192 MiB"), "")  # not in library
+
+    def test_build_prompt_includes_glossary(self):
+        from rigdoctor.core import steam
+        with mock.patch.object(steam, "appid_names", return_value={"2694490": "Path of Exile 2"}):
+            prompt = ai.build_prompt("AppID 2694490 launched")
+        self.assertIn("Path of Exile 2", prompt)
+
+
+class ExplainTests(unittest.TestCase):
+    def _cfg(self, **over):
+        base = {"ai_provider": "", "ai_model": "", "ai_endpoint": "http://localhost:11434"}
+        base.update(over)
+        return base
+
+    def test_no_provider(self):
+        with mock.patch.object(ai.config, "load_config", return_value=self._cfg()):
+            ok, msg = ai.explain("x")
+        self.assertFalse(ok)
+        self.assertIn("No AI provider", msg)
+
+    def test_ollama_parses_response(self):
+        with mock.patch.object(ai.config, "load_config",
+                               return_value=self._cfg(ai_provider="ollama", ai_model="llama3.1")), \
+             mock.patch.object(ai, "_post", return_value={"response": "It's the PSU."}) as post:
+            ok, msg = ai.explain("Xid 79")
+        self.assertTrue(ok)
+        self.assertEqual(msg, "It's the PSU.")
+        self.assertIn("/api/generate", post.call_args[0][0])
+
+    def test_claude_parses_content_blocks(self):
+        with mock.patch.object(ai.config, "load_config", return_value=self._cfg(ai_provider="claude")), \
+             mock.patch.object(ai.config, "load_ai_key", return_value="sk-ant-x"), \
+             mock.patch.object(ai, "_post", return_value={"content": [
+                 {"type": "text", "text": "Likely a failing disk."}]}) as post:
+            ok, msg = ai.explain("SMART 197")
+        self.assertTrue(ok)
+        self.assertEqual(msg, "Likely a failing disk.")
+        headers = post.call_args[0][2]
+        self.assertEqual(headers["anthropic-version"], ai.ANTHROPIC_VERSION)
+        self.assertEqual(headers["x-api-key"], "sk-ant-x")
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_diagstore.py

@@ -0,0 +1,100 @@
+"""Tests for M15 per-diagnostic storage + Report bundles + app logging."""
+
+import json
+import tempfile
+import unittest
+import zipfile
+from dataclasses import dataclass, field
+from pathlib import Path
+from unittest import mock
+
+from rigdoctor.core import applog, diagstore
+
+
+@dataclass
+class FakeSummary:
+    start: float = 1.0
+    end: float = 2.0
+    samples: int = 3
+    events: list = field(default_factory=list)
+
+
+@dataclass
+class FakeFinding:
+    severity: str = "ok"
+    category: str = "GPU"
+    title: str = "Looks fine"
+    detail: str = "no issues"
+
+
+@dataclass
+class FakeResult:
+    game: str = "Path of Exile 2"
+    summary: FakeSummary = field(default_factory=FakeSummary)
+    findings: list = field(default_factory=lambda: [FakeFinding()])
+    dir: str | None = None
+
+
+class StoreTests(unittest.TestCase):
+    def setUp(self):
+        self.tmp = Path(tempfile.mkdtemp())
+
+    def test_disabled_returns_none(self):
+        with mock.patch.object(diagstore, "enabled", return_value=False):
+            self.assertIsNone(diagstore.store(FakeResult()))
+
+    def test_store_writes_artifacts(self):
+        with mock.patch.object(diagstore, "enabled", return_value=True), \
+             mock.patch("rigdoctor.render.render_summary", return_value="SUMMARY-TEXT"), \
+             mock.patch("rigdoctor.core.gamelogs.collect", return_value="LOG-TEXT"), \
+             mock.patch.object(diagstore.config, "DIAGNOSTICS_DIR", self.tmp / "diagnostics"):
+            directory = diagstore.store(FakeResult())
+        self.assertTrue((directory / "result.json").exists())
+        self.assertTrue((directory / "report.txt").exists())
+        self.assertEqual((directory / "gamelogs.txt").read_text(), "LOG-TEXT")
+        data = json.loads((directory / "result.json").read_text())
+        self.assertEqual(data["game"], "Path of Exile 2")
+        self.assertEqual(len(data["findings"]), 1)
+
+    def test_record_ai_then_report_includes_ai_and_applog(self):
+        diag = self.tmp / "20260522-poe2"
+        diag.mkdir()
+        diagstore.record_ai(diag, provider="claude", model="claude-opus-4-7",
+                            system="SYS", prompt="EXACT DATA SENT", response="THE REPLY")
+        ai_files = list((diag / "ai").glob("explain-*.json"))
+        self.assertTrue(ai_files)
+        record = json.loads(ai_files[0].read_text())
+        self.assertEqual(record["model"], "claude-opus-4-7")
+        self.assertEqual(record["data_sent_to_model"], "EXACT DATA SENT")
+        self.assertEqual(record["model_reply"], "THE REPLY")
+
+        app_log = self.tmp / "app.log"
+        app_log.write_text("app log line")
+        with mock.patch.object(diagstore.config, "REPORTS_DIR", self.tmp / "reports"), \
+             mock.patch.object(diagstore.config, "APP_LOG", app_log):
+            out = diagstore.make_report(diag)
+        self.assertTrue(out.exists())
+        with zipfile.ZipFile(out) as zf:
+            names = zf.namelist()
+        self.assertTrue(any(n.endswith("app.log") for n in names))
+        self.assertTrue(any("/ai/explain-" in n for n in names))
+
+
+class AppLogTests(unittest.TestCase):
+    def test_disabled_is_noop(self):
+        with mock.patch.object(applog.config, "load_config", return_value={"logging_enabled": False}):
+            self.assertFalse(applog.setup(force=True))
+
+    def test_enabled_writes_file(self):
+        tmp = Path(tempfile.mkdtemp())
+        with mock.patch.object(applog.config, "load_config", return_value={"logging_enabled": True}), \
+             mock.patch.object(applog.config, "STATE_DIR", tmp), \
+             mock.patch.object(applog.config, "APP_LOG", tmp / "app.log"):
+            self.assertTrue(applog.setup(force=True))
+            applog.get_logger("test").info("hello world")
+            applog.setup(force=True)  # cleanup path: re-run detaches/reattaches cleanly
+        self.assertTrue((tmp / "app.log").exists())
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_gamelogs.py

@@ -0,0 +1,77 @@
+"""Tests for M14 game/Proton/Steam log collection."""
+
+import os
+import tempfile
+import time
+import unittest
+from pathlib import Path
+from unittest import mock
+
+from rigdoctor.core import gamelogs
+
+
+class TailTests(unittest.TestCase):
+    def test_tail_returns_last_bytes(self):
+        path = Path(tempfile.mkdtemp()) / "x.log"
+        path.write_text("A" * 100 + "TAIL")
+        out = gamelogs._tail(path, 4)
+        self.assertEqual(out, "TAIL")
+
+    def test_tail_short_file(self):
+        path = Path(tempfile.mkdtemp()) / "x.log"
+        path.write_text("short")
+        self.assertEqual(gamelogs._tail(path, 9999), "short")
+
+    def test_tail_missing(self):
+        self.assertEqual(gamelogs._tail(Path("/nope/x.log"), 10), "")
+
+
+class CollectTests(unittest.TestCase):
+    def test_collect_includes_proton_and_steam(self):
+        tmp = Path(tempfile.mkdtemp())
+        proton = tmp / "steam-570.log"
+        proton.write_text("err: vkd3d device lost")
+        console = tmp / "console-linux.txt"
+        console.write_text("Game removed AppID 570 ... exit")
+        with mock.patch.object(gamelogs, "_proton_logs", return_value=[proton]), \
+             mock.patch.object(gamelogs, "_steam_console", return_value=console):
+            out = gamelogs.collect()
+        self.assertIn("Proton log", out)
+        self.assertIn("vkd3d", out)
+        self.assertIn("Steam log", out)
+        self.assertIn("exit", out)
+
+    def test_collect_empty_when_none(self):
+        with mock.patch.object(gamelogs, "_proton_logs", return_value=[]), \
+             mock.patch.object(gamelogs, "_steam_console", return_value=None):
+            self.assertEqual(gamelogs.collect(), "")
+
+
+class SinceScopingTests(unittest.TestCase):
+    def test_since_filter_keeps_window_only(self):
+        text = (
+            "[2026-05-22 13:00:00] old session line\n"
+            "[2026-05-22 13:00:01] another old line\n"
+            "[2026-05-22 14:30:00] new session launch\n"
+            "[2026-05-22 14:30:05] new session error\n"
+        )
+        since = time.mktime(time.strptime("2026-05-22 14:00:00", "%Y-%m-%d %H:%M:%S"))
+        out = gamelogs._since_filter(text, since)
+        self.assertIn("new session launch", out)
+        self.assertIn("new session error", out)
+        self.assertNotIn("old session", out)
+
+    def test_collect_skips_stale_proton_log(self):
+        tmp = Path(tempfile.mkdtemp())
+        proton = tmp / "steam-9999.log"
+        proton.write_text("stale proton output from an earlier game")
+        old_mtime = time.time() - 3600
+        os.utime(proton, (old_mtime, old_mtime))
+        since = time.time() - 60  # session started a minute ago
+        with mock.patch.object(gamelogs, "_proton_logs", return_value=[proton]), \
+             mock.patch.object(gamelogs, "_steam_console", return_value=None):
+            self.assertEqual(gamelogs.collect(since=since), "")  # stale log excluded
+
+
+if __name__ == "__main__":
+    unittest.main()