add imrpvoed

LOCAL_SCREENSHOT_EXTENSION.md

@@ -27,6 +27,7 @@ Notes:
 - The server listens on `http://127.0.0.1:8765/screenshot`.
 - If you omit `--ai`, it will only save files (no OpenAI call).
 - If you set `--ai`, it will generate reply suggestions and return them back to the extension (and also save `*.ai.json`).
+- If you're debugging, add `--log-level debug` (or set `AIEA_LOG_LEVEL=debug`) for more detail.
 - Optional: you can still use `--run ...` as a post-save hook.
 
 ## 2) Load the extension (unpacked)

README.md

@@ -65,6 +65,14 @@ Without OpenAI (save files only):
 python3 tools/local_screenshot_bridge.py --port 8765 --out-dir screenshots
 ```
 
+More logging (includes AI request/response ids + parse details):
+
+```bash
+python3 tools/local_screenshot_bridge.py --port 8765 --out-dir screenshots --ai --log-level debug
+
+python3 tools/local_screenshot_bridge.py --port 8765 --out-dir screenshots --ai --log-level debug --ai-max-output-tokens 2500
+```
+
 Health check:
 
 ```bash

chrome_screenshot_ext/popup.js

@@ -46,7 +46,14 @@ function renderResult(entryOrResp) {
   if (resp.ai_result) {
     if (resp.ai_result.ok && resp.ai_result.ai && Array.isArray(resp.ai_result.ai.posts)) {
       lines.push("");
-      lines.push(`AI (${resp.ai_result.took_ms || "?"}ms):`);
+      {
+        const ms = resp.ai_result.took_ms || "?";
+        const model = resp.ai_result.model ? ` model=${resp.ai_result.model}` : "";
+        const rid = resp.ai_result.response_id ? ` id=${resp.ai_result.response_id}` : "";
+        const status = resp.ai_result.status && resp.ai_result.status !== "completed" ? ` status=${resp.ai_result.status}` : "";
+        const inc = resp.ai_result.incomplete_reason ? ` incomplete=${resp.ai_result.incomplete_reason}` : "";
+        lines.push(`AI (${ms}ms${model}${rid}${status}${inc}):`);
+      }
       for (const p of resp.ai_result.ai.posts) {
         const idx = typeof p.index === "number" ? p.index : "?";
         const postText = (p.post_text || "").replace(/\s+/g, " ").trim();
@@ -84,10 +91,40 @@ function renderResult(entryOrResp) {
         }
       }
       if (resp.ai_result.ai_path) lines.push(`\nAI file: ${resp.ai_result.ai_path}`);
+      if (resp.ai_result.usage && typeof resp.ai_result.usage === "object") {
+        const u = resp.ai_result.usage;
+        const ins = typeof u.input_tokens === "number" ? u.input_tokens : null;
+        const outs = typeof u.output_tokens === "number" ? u.output_tokens : null;
+        const tots = typeof u.total_tokens === "number" ? u.total_tokens : null;
+        const parts = [];
+        if (ins != null) parts.push(`in=${ins}`);
+        if (outs != null) parts.push(`out=${outs}`);
+        if (tots != null) parts.push(`total=${tots}`);
+        if (parts.length) lines.push(`AI usage: ${parts.join(" ")}`);
+      }
     } else {
       lines.push("");
-      lines.push(`AI error: ${resp.ai_result.error || "unknown"}`);
-      if (resp.ai_result.detail) lines.push(`Detail: ${resp.ai_result.detail}`);
+      const ms = resp.ai_result.took_ms || "?";
+      const model = resp.ai_result.model ? ` model=${resp.ai_result.model}` : "";
+      const rid = resp.ai_result.response_id ? ` id=${resp.ai_result.response_id}` : "";
+      const status = resp.ai_result.status ? ` status=${resp.ai_result.status}` : "";
+      const inc = resp.ai_result.incomplete_reason ? ` incomplete=${resp.ai_result.incomplete_reason}` : "";
+      const err = resp.ai_result.error || (resp.ai_result.ai && resp.ai_result.ai.error) || "unknown";
+      lines.push(`AI error (${ms}ms${model}${rid}${status}${inc}): ${err}`);
+      if (resp.ai_result.detail) lines.push(`Detail: ${clampString(resp.ai_result.detail, 600)}`);
+      if (resp.ai_result.raw_preview) lines.push(`Raw: ${clampString(resp.ai_result.raw_preview, 600)}`);
+      if (resp.ai_result.usage && typeof resp.ai_result.usage === "object") {
+        const u = resp.ai_result.usage;
+        const ins = typeof u.input_tokens === "number" ? u.input_tokens : null;
+        const outs = typeof u.output_tokens === "number" ? u.output_tokens : null;
+        const tots = typeof u.total_tokens === "number" ? u.total_tokens : null;
+        const parts = [];
+        if (ins != null) parts.push(`in=${ins}`);
+        if (outs != null) parts.push(`out=${outs}`);
+        if (tots != null) parts.push(`total=${tots}`);
+        if (parts.length) lines.push(`AI usage: ${parts.join(" ")}`);
+      }
+      if (resp.ai_result.ai_path) lines.push(`AI file: ${resp.ai_result.ai_path}`);
     }
   }
 

scripts/ai_prepare_responses.py

@@ -222,7 +222,7 @@ def main(argv: list[str]) -> int:
             "definition_of_post": "A single feed item / post / story / comment root visible on-screen right now. If it's a single-article page, treat the main article as one post.",
             "output_requirements": {
                 #"ironic": "Lightly ironic, laughing at us humans (not cruel).",
-                "improved": "Proofreading-style improvements, preserving the original words as much as possible. Improving in medium version.",
+                "improved": "Proofread whatever is given in extra_instructions [EXTRA_INSTRUCTIONS]!!!  Proofreading-style improvements, preserving the original words as much as possible. Improving in medium version.",
                 "critical": "Bold/critical: politely questions the premise or assumptions.",
                 "suggested": "Best style you think fits (helpful/witty/clarifying/etc).",
                 "short": "1-2 sentences, direct, useful, no fluff.",

tools/local_screenshot_bridge.py

@@ -7,9 +7,33 @@ import re
 import subprocess
 import sys
 import time
+import traceback
 from datetime import datetime, timezone
 from http.server import BaseHTTPRequestHandler, HTTPServer
 from pathlib import Path
+from typing import Optional
+
+
+_LOG_LEVELS = {"debug": 10, "info": 20, "error": 40, "quiet": 100}
+
+
+def _log(server, level: str, msg: str) -> None:
+    """
+    Minimal structured-ish logging to stderr.
+
+    server.log_level: debug|info|error|quiet (default: info)
+    """
+    try:
+        configured = getattr(server, "log_level", "info") if server is not None else "info"
+        configured_rank = _LOG_LEVELS.get(str(configured).lower(), _LOG_LEVELS["info"])
+        level_rank = _LOG_LEVELS.get(str(level).lower(), _LOG_LEVELS["info"])
+        if level_rank < configured_rank:
+            return
+        ts = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+        print(f"[{ts}] {level.upper()}: {msg}", file=sys.stderr)
+    except Exception:
+        # Never let logging break the handler.
+        return
 
 
 def _slug(s: str, max_len: int = 80) -> str:
@@ -58,6 +82,91 @@ def _safe_json_dump(obj: object, max_chars: int) -> str:
     s = json.dumps(obj, ensure_ascii=True, separators=(",", ":"), sort_keys=False)
     return _truncate(s, max_chars)
 
+
+def _maybe_dump_model(obj: object) -> Optional[dict]:
+    """
+    Best-effort conversion of SDK model objects (pydantic-ish) to plain dicts.
+    """
+    if obj is None:
+        return None
+    for attr in ("model_dump", "dict", "to_dict"):
+        fn = getattr(obj, attr, None)
+        if callable(fn):
+            try:
+                out = fn()
+                return out if isinstance(out, dict) else None
+            except Exception:
+                continue
+    return None
+
+
+def _extract_json_text(raw: str) -> Optional[str]:
+    """
+    Best-effort extraction of a JSON object from a text response.
+
+    Some providers occasionally wrap JSON in code fences or add preamble text.
+    We keep this conservative; if it can't be extracted, we return None.
+    """
+    if not raw:
+        return None
+
+    # ```json ... ``` or any fenced block: ```...```
+    # We capture the whole fenced body (not just {...}) so nested braces don't break extraction.
+    m = re.search(r"```(?:[a-z0-9_+-]+)?\s*(.*?)\s*```", raw, flags=re.DOTALL | re.IGNORECASE)
+    if m:
+        return m.group(1).strip()
+
+    # First {...last} span
+    start = raw.find("{")
+    end = raw.rfind("}")
+    if start != -1 and end != -1 and end > start:
+        return raw[start : end + 1].strip()
+
+    return None
+
+
+def _ai_error_payload(
+    *,
+    error: str,
+    detail: str = "",
+    raw: str = "",
+    model: str = "",
+    response_id: str = "",
+    status: str = "",
+    incomplete_reason: str = "",
+    usage: Optional[dict] = None,
+    took_ms: Optional[int] = None,
+    ai_path: Optional[Path] = None,
+) -> dict:
+    payload: dict = {"ok": False, "error": error}
+    if detail:
+        payload["detail"] = detail
+    if raw:
+        payload["raw_preview"] = _truncate(raw, 2000)
+    if model:
+        payload["model"] = model
+    if response_id:
+        payload["response_id"] = response_id
+    if status:
+        payload["status"] = status
+    if incomplete_reason:
+        payload["incomplete_reason"] = incomplete_reason
+    if usage:
+        payload["usage"] = usage
+    if isinstance(took_ms, int):
+        payload["took_ms"] = took_ms
+    if ai_path is not None:
+        payload["ai_path"] = str(ai_path)
+    return payload
+
+
+def _is_valid_ai_json(parsed: object) -> bool:
+    if not isinstance(parsed, dict):
+        return False
+    posts = parsed.get("posts", None)
+    return isinstance(posts, list)
+
+
 def _ea_sanitize_text(text: object) -> str:
     """
     Port of fl_geo_sanitize_text(), plus lowercase output (no capitals).
@@ -209,11 +318,13 @@ def _maybe_generate_ai(server, png_path: Path, meta: dict, content: object) -> d
     _load_dotenv_if_present(project_root)
 
     if not os.getenv("OPENAI_API_KEY"):
+        _log(server, "error", "AI disabled: missing OPENAI_API_KEY")
         return {"ok": False, "error": "missing_openai_api_key"}
 
     try:
         from openai import OpenAI  # type: ignore
     except Exception as e:
+        _log(server, "error", f"AI disabled: missing openai sdk ({type(e).__name__}: {e})")
         return {"ok": False, "error": "missing_openai_sdk", "detail": str(e)}
 
     instructions_text = getattr(server, "ai_instructions", "")
@@ -227,6 +338,12 @@ def _maybe_generate_ai(server, png_path: Path, meta: dict, content: object) -> d
     page_title = str(meta.get("title") or "")
     extra_instructions = str(meta.get("extra_instructions") or "").strip()
 
+    _log(
+        server,
+        "debug",
+        f"AI request: model={model} max_posts={max_posts} image_detail={image_detail} max_output_tokens={max_output_tokens} url={_truncate(page_url, 140)}",
+    )
+
     user_payload = {
         "page_url": page_url,
         "page_title": page_title,
@@ -237,7 +354,7 @@ def _maybe_generate_ai(server, png_path: Path, meta: dict, content: object) -> d
             "definition_of_post": "A single feed item / post / story / comment root visible on-screen right now. If it's a single-article page, treat the main article as one post.",
             "output_requirements": {
 #                 "ironic": "Lightly ironic, laughing at us humans (not cruel).",
-                "improved": "Proofreading-style improvements, preserving the original words as much as possible. Improving in medium version.",
+                "improved": "Proofread whatever is given in extra_instructions [EXTRA_INSTRUCTIONS]. Proofreading-style improvements, preserving the original words as much as possible. Improving in medium version.",
                 "critical": "Bold/critical: politely questions the premise or assumptions.",
                 "suggested": "Best style you think fits (helpful/witty/clarifying/etc).",
                 "short": "1-2 sentences, direct, useful, no fluff.",
@@ -266,49 +383,196 @@ def _maybe_generate_ai(server, png_path: Path, meta: dict, content: object) -> d
 
     t0 = time.monotonic()
     client = OpenAI()
-    resp = client.responses.create(
-        model=model,
-        instructions=instructions_text,
-        input=[
-            {
-                "role": "user",
-                "content": [
-                    {"type": "input_text", "text": prompt_text},
-                    {"type": "input_image", "image_url": image_data_url, "detail": image_detail},
-                ],
-            }
-        ],
-        text={
-            "format": {
-                "type": "json_schema",
-                "name": "ea_post_responses",
-                "description": "Draft short and medium replies for each visible post on the page.",
-                "schema": _response_schema(max_posts),
-                "strict": True,
+    resp = None
+    took_ms = None
+    try:
+        resp = client.responses.create(
+            model=model,
+            instructions=instructions_text,
+            input=[
+                {
+                    "role": "user",
+                    "content": [
+                        {"type": "input_text", "text": prompt_text},
+                        {"type": "input_image", "image_url": image_data_url, "detail": image_detail},
+                    ],
+                }
+            ],
+            text={
+                "format": {
+                    "type": "json_schema",
+                    "name": "ea_post_responses",
+                    "description": "Draft short and medium replies for each visible post on the page.",
+                    "schema": _response_schema(max_posts),
+                    "strict": True,
+                },
+                "verbosity": "low",
             },
-            "verbosity": "low",
-        },
-        max_output_tokens=max_output_tokens,
-    )
-    took_ms = int((time.monotonic() - t0) * 1000)
+            max_output_tokens=max_output_tokens,
+        )
+        took_ms = int((time.monotonic() - t0) * 1000)
+    except Exception as e:
+        took_ms = int((time.monotonic() - t0) * 1000)
+        tb = traceback.format_exc(limit=8)
+        detail = f"{type(e).__name__}: {e}"
+        # Some OpenAI exceptions have request id / status in attrs; include if present.
+        rid = getattr(e, "request_id", "") or getattr(getattr(e, "response", None), "headers", {}).get("x-request-id", "")
+        sc = getattr(e, "status_code", None)
+        if rid:
+            detail = f"{detail} (request_id={rid})"
+        if isinstance(sc, int):
+            detail = f"{detail} (status={sc})"
+        _log(server, "error", f"AI exception after {took_ms}ms: {detail}")
+        _log(server, "debug", f"AI traceback:\n{tb}")
+        # Still write a debug file for the screenshot for later inspection.
+        ai_path = png_path.with_suffix(".ai.json")
+        debug_obj = {
+            "error": "ai_exception",
+            "detail": detail,
+            "took_ms": took_ms,
+            "model": str(model),
+            "traceback": tb if getattr(server, "log_level", "info") == "debug" else "",
+        }
+        try:
+            ai_path.write_text(json.dumps(debug_obj, indent=2, ensure_ascii=True) + "\n", encoding="utf-8")
+        except Exception:
+            pass
+        return _ai_error_payload(
+            error="ai_exception",
+            detail=detail,
+            model=str(model),
+            response_id="",
+            status="",
+            incomplete_reason="",
+            usage=None,
+            took_ms=took_ms,
+            ai_path=ai_path,
+        )
 
-    raw = resp.output_text or ""
+    response_id = str(getattr(resp, "id", "") or "")
+    status = str(getattr(resp, "status", "") or "")
+    incomplete_reason = ""
+    try:
+        incomplete_details = getattr(resp, "incomplete_details", None)
+        if incomplete_details is not None:
+            incomplete_reason = str(getattr(incomplete_details, "reason", "") or "")
+    except Exception:
+        incomplete_reason = ""
+    usage = _maybe_dump_model(getattr(resp, "usage", None))
+
+    _log(
+        server,
+        "debug",
+        f"AI response meta: status={status or '?'} incomplete_reason={incomplete_reason or '(none)'} usage={_safe_json_dump(usage or {}, 800)} response_id={response_id}",
+    )
+
+    raw = ""
+    try:
+        raw = resp.output_text or ""
+    except Exception:
+        raw = ""
+    _log(server, "debug", f"AI output_text chars={len(raw)} response_id={response_id}")
+
+    parsed: object
+    parse_error = ""
+    parse_detail = ""
     try:
         parsed = json.loads(raw)
-    except Exception:
-        parsed = {"error": "non_json_output", "raw": raw}
+    except Exception as e:
+        # Try a couple conservative extraction heuristics.
+        candidate = _extract_json_text(raw)
+        if candidate:
+            try:
+                parsed = json.loads(candidate)
+            except Exception as e2:
+                parse_error = "non_json_output"
+                parse_detail = f"{type(e2).__name__}: {e2}"
+                parsed = {"error": "non_json_output", "raw": raw}
+        else:
+            parse_error = "non_json_output"
+            parse_detail = f"{type(e).__name__}: {e}"
+            parsed = {"error": "non_json_output", "raw": raw}
+
+    if parse_error:
+        _log(server, "error", f"AI output parse failed: {parse_error} ({parse_detail}) response_id={response_id}")
 
     if isinstance(parsed, dict) and "posts" in parsed:
         parsed = _sanitize_ai_payload(parsed, page_url=page_url, page_title=page_title)
 
     ai_path = png_path.with_suffix(".ai.json")
-    ai_path.write_text(json.dumps(parsed, indent=2, ensure_ascii=True) + "\n", encoding="utf-8")
-    return {"ok": True, "ai": parsed, "ai_path": str(ai_path), "took_ms": took_ms}
+    try:
+        # When generation fails, persist helpful metadata along with the raw text.
+        if parse_error and isinstance(parsed, dict) and "raw" in parsed:
+            parsed = {
+                **parsed,
+                "response_id": response_id,
+                "model": str(model),
+                "status": status,
+                "incomplete_reason": incomplete_reason,
+                "usage": usage or {},
+            }
+        ai_path.write_text(json.dumps(parsed, indent=2, ensure_ascii=True) + "\n", encoding="utf-8")
+    except Exception as e:
+        _log(server, "error", f"Failed writing AI file {ai_path}: {type(e).__name__}: {e}")
+
+    # If we didn't get schema-conformant output, treat it as an error so the popup doesn't show "unknown".
+    if not _is_valid_ai_json(parsed):
+        err = parse_error or (parsed.get("error", "") if isinstance(parsed, dict) else "") or "invalid_ai_output"
+        detail = parse_detail or "AI returned JSON that does not match the expected schema (missing posts[])."
+        if incomplete_reason:
+            err = incomplete_reason if incomplete_reason in ("max_output_tokens", "content_filter") else err
+            if incomplete_reason == "max_output_tokens":
+                detail = (
+                    f"AI response was truncated (incomplete_reason=max_output_tokens). "
+                    f"Try increasing --ai-max-output-tokens (currently {max_output_tokens}) or decreasing --ai-max-posts (currently {max_posts}). "
+                    f"Original parse error: {parse_detail or '(none)'}"
+                )
+            else:
+                detail = f"AI response incomplete (incomplete_reason={incomplete_reason}). Parse error: {parse_detail or '(none)'}"
+        _log(server, "error", f"AI output invalid: error={err} response_id={response_id} ai_path={ai_path}")
+        return _ai_error_payload(
+            error=str(err),
+            detail=str(detail),
+            raw=raw,
+            model=str(model),
+            response_id=response_id,
+            status=status,
+            incomplete_reason=incomplete_reason,
+            usage=usage,
+            took_ms=took_ms,
+            ai_path=ai_path,
+        )
+
+    posts_count = len(parsed.get("posts", [])) if isinstance(parsed, dict) else 0
+    _log(server, "info", f"AI ok: posts={posts_count} took_ms={took_ms} response_id={response_id} ai_path={ai_path}")
+    return {
+        "ok": True,
+        "ai": parsed,
+        "ai_path": str(ai_path),
+        "took_ms": took_ms,
+        "response_id": response_id,
+        "model": str(model),
+        "status": status,
+        "incomplete_reason": incomplete_reason,
+        "usage": usage,
+    }
 
 
 class Handler(BaseHTTPRequestHandler):
     server_version = "LocalScreenshotBridge/0.1"
 
+    def log_message(self, fmt: str, *args):  # noqa: N802
+        # Route default HTTP request logs through our logger (and respect --log-level).
+        try:
+            msg = fmt % args
+        except Exception:
+            msg = fmt
+        try:
+            ip = self.client_address[0] if getattr(self, "client_address", None) else "?"
+        except Exception:
+            ip = "?"
+        _log(self.server, "debug", f"HTTP {ip} {msg}")  # type: ignore[arg-type]
+
     def _send_json(self, status: int, payload: dict):
         body = json.dumps(payload, ensure_ascii=True).encode("utf-8")
         self.send_response(status)
@@ -368,6 +632,18 @@ class Handler(BaseHTTPRequestHandler):
         content = req.get("content", None)
         extra_instructions = req.get("extra_instructions") or ""
 
+        extra_s = str(extra_instructions).strip()
+        if extra_s:
+            extra_s = _truncate(extra_s.replace("\r", " ").replace("\n", " "), 140)
+            extra_part = f" extra={extra_s}"
+        else:
+            extra_part = ""
+        _log(
+            self.server,  # type: ignore[arg-type]
+            "info",
+            f"Capture received: title={_truncate(str(title), 80)} url={_truncate(str(page_url), 140)} content={'yes' if content is not None else 'no'}{extra_part}",
+        )
+
         m = re.match(r"^data:image/png;base64,(.*)$", data_url)
         if not m:
             self._send_json(400, {"ok": False, "error": "expected_png_data_url"})
@@ -407,6 +683,7 @@ class Handler(BaseHTTPRequestHandler):
                     content_path.write_text(raw_content, encoding="utf-8")
                     wrote_content = True
                 except Exception:
+                    _log(self.server, "error", f"Failed writing content file {content_path}")  # type: ignore[arg-type]
                     # Don't fail the whole request if content writing fails.
                     wrote_content = False
 
@@ -442,6 +719,11 @@ class Handler(BaseHTTPRequestHandler):
             "content_path": final_content_path,
             "extra_instructions": extra_instructions,
         }
+        _log(
+            self.server,  # type: ignore[arg-type]
+            "info",
+            f"Saved: png={png_path} meta={meta_path} content={final_content_path or '(none)'}",
+        )
 
         run = getattr(self.server, "run_cmd", None)  # type: ignore[attr-defined]
         ran = None
@@ -464,15 +746,21 @@ class Handler(BaseHTTPRequestHandler):
                     "stdout": proc.stdout[-4000:],
                     "stderr": proc.stderr[-4000:],
                 }
+                if proc.returncode != 0:
+                    _log(self.server, "error", f"Hook failed: exit={proc.returncode} cmd={' '.join(run)}")  # type: ignore[arg-type]
             except Exception as e:
                 ran = {"cmd": run, "error": str(e)}
+                _log(self.server, "error", f"Hook exception: {type(e).__name__}: {e}")  # type: ignore[arg-type]
 
         ai_result = None
         if getattr(self.server, "ai_enabled", False):  # type: ignore[attr-defined]
             try:
                 ai_result = _maybe_generate_ai(self.server, png_path, meta_obj, content)
             except Exception as e:
-                ai_result = {"ok": False, "error": "ai_exception", "detail": str(e)}
+                detail = f"{type(e).__name__}: {e}"
+                _log(self.server, "error", f"AI exception (outer): {detail}")  # type: ignore[arg-type]
+                _log(self.server, "debug", f"AI outer traceback:\n{traceback.format_exc(limit=8)}")  # type: ignore[arg-type]
+                ai_result = {"ok": False, "error": "ai_exception", "detail": detail}
 
         self._send_json(
             200,
@@ -493,6 +781,12 @@ def main(argv: list[str]) -> int:
     p.add_argument("--bind", default="127.0.0.1", help="Bind address (default: 127.0.0.1)")
     p.add_argument("--out-dir", default="screenshots", help="Output directory relative to project root")
     p.add_argument("--ai", action="store_true", help="Run OpenAI to generate reply suggestions and return them to the extension")
+    p.add_argument(
+        "--log-level",
+        default=os.getenv("AIEA_LOG_LEVEL", "info"),
+        choices=sorted(_LOG_LEVELS.keys()),
+        help="Logging verbosity: debug|info|error|quiet (env: AIEA_LOG_LEVEL)",
+    )
     p.add_argument("--ai-model", default=os.getenv("AI_EA_MODEL", "gpt-5.2"))
     p.add_argument("--ai-max-posts", type=int, default=int(os.getenv("AI_EA_MAX_POSTS", "12")))
     p.add_argument("--ai-content-max-chars", type=int, default=int(os.getenv("AI_EA_CONTENT_MAX_CHARS", "120000")))
@@ -518,6 +812,7 @@ def main(argv: list[str]) -> int:
     httpd.out_dir = out_dir  # type: ignore[attr-defined]
     httpd.run_cmd = args.run  # type: ignore[attr-defined]
     httpd.ai_enabled = bool(args.ai)  # type: ignore[attr-defined]
+    httpd.log_level = args.log_level  # type: ignore[attr-defined]
     httpd.ai_model = args.ai_model  # type: ignore[attr-defined]
     httpd.ai_max_posts = args.ai_max_posts  # type: ignore[attr-defined]
     httpd.ai_content_max_chars = args.ai_content_max_chars  # type: ignore[attr-defined]
@@ -527,6 +822,7 @@ def main(argv: list[str]) -> int:
 
     print(f"Listening on http://{args.bind}:{args.port}/screenshot", file=sys.stderr)
     print(f"Saving screenshots to {out_dir}", file=sys.stderr)
+    print(f"Log level: {args.log_level}", file=sys.stderr)
     if args.ai:
         print(f"OpenAI enabled: model={args.ai_model} max_posts={args.ai_max_posts}", file=sys.stderr)
     if args.run: