change timeout

app/pages/05_Dashboard.py

@@ -876,17 +876,25 @@ st.markdown("---")
 @st.fragment(run_every=60)
 def render_ai_summary_section():
     summaries, last_update = ai_summary_cache.get_summaries()
+    status = ai_summary_cache.get_status()
     last_update_text = last_update.strftime("%Y-%m-%d %H:%M:%S") if last_update else "N/A"
+    buffer_remaining = status.get("buffer_remaining_seconds")
+    buffer_text = "N/A"
+    if buffer_remaining is not None:
+        buffer_text = f"{int(buffer_remaining)}s"
+
     st.markdown("## 🤖 AI Summary")
     st.markdown(
         f"""
-        <div style=\"background: linear-gradient(135deg, #1E222D 0%, #131722 100%); border: 1px solid #2A2E39; border-radius: 8px; padding: 20px; margin-bottom: 12px;\">
-            <div style=\"color: #E0E3EB; font-size: 16px; font-weight: 600; margin-bottom: 6px;\">Current AI Summarizations</div>
-            <div style=\"color: #D1D4DC; font-size: 14px; line-height: 1.6;\">
+        <div style="background: linear-gradient(135deg, #1E222D 0%, #131722 100%); border: 1px solid #2A2E39; border-radius: 8px; padding: 20px; margin-bottom: 12px;">
+            <div style="color: #E0E3EB; font-size: 16px; font-weight: 600; margin-bottom: 6px;">Current AI Summarizations</div>
+            <div style="color: #D1D4DC; font-size: 14px; line-height: 1.6;">
                 {ai_summarized} / {total_items} items summarized
-                <span style=\"color: #787B86; font-size: 12px; margin-left: 8px;\">({ai_summary_pct:.1f}% coverage)</span>
+                <span style="color: #787B86; font-size: 12px; margin-left: 8px;">({ai_summary_pct:.1f}% coverage)</span>
             </div>
-            <div style=\"color: #787B86; font-size: 12px; margin-top: 6px;\">Last update: {last_update_text}</div>
+            <div style="color: #787B86; font-size: 12px; margin-top: 6px;">Last update: {last_update_text}</div>
+            <div style="color: #787B86; font-size: 12px;">Buffer: {status.get("buffer_size", 0)} items, next flush in {buffer_text}</div>
+            <div style="color: #787B86; font-size: 12px;">Cache: {status.get("total_summaries", 0)} summaries, batch max ~{status.get("batch_max_chars", 0)} chars</div>
         </div>
         """,
         unsafe_allow_html=True,
@@ -899,9 +907,9 @@ def render_ai_summary_section():
             title = item.get("title", "")
             st.markdown(
                 f"""
-                <div style=\"background: #131722; border: 1px solid #2A2E39; border-radius: 6px; padding: 10px; margin-bottom: 8px;\">
-                    <div style=\"color: #E0E3EB; font-size: 13px; font-weight: 600;\">{source} — {title}</div>
-                    <div style=\"color: #D1D4DC; font-size: 13px; margin-top: 4px;\">{summary}</div>
+                <div style="background: #131722; border: 1px solid #2A2E39; border-radius: 6px; padding: 10px; margin-bottom: 8px;">
+                    <div style="color: #E0E3EB; font-size: 13px; font-weight: 600;">{source} — {title}</div>
+                    <div style="color: #D1D4DC; font-size: 13px; margin-top: 4px;">{summary}</div>
                 </div>
                 """,
                 unsafe_allow_html=True,

app/utils/ai_summary_cache.py

@@ -76,6 +76,28 @@ class AISummaryCache:
         summaries.sort(key=lambda x: x.get("timestamp", datetime.min), reverse=True)
         return summaries, last_update
 
+    def get_status(self) -> Dict:
+        with self._lock:
+            buffer_size = len(self._buffer)
+            buffer_start = self._buffer_start
+            total_summaries = len(self._summaries)
+            last_update = self._last_update
+        buffer_age_seconds = None
+        buffer_remaining_seconds = None
+        if buffer_start:
+            buffer_age_seconds = (datetime.now() - buffer_start).total_seconds()
+            buffer_remaining_seconds = max(BUFFER_SECONDS - buffer_age_seconds, 0)
+        return {
+            "buffer_size": buffer_size,
+            "buffer_started_at": buffer_start,
+            "buffer_age_seconds": buffer_age_seconds,
+            "buffer_remaining_seconds": buffer_remaining_seconds,
+            "buffer_window_seconds": BUFFER_SECONDS,
+            "total_summaries": total_summaries,
+            "last_update": last_update,
+            "batch_max_chars": DEFAULT_BATCH_MAX_CHARS,
+        }
+
     def _item_key(self, item: Dict) -> str:
         if item.get("id") is not None:
             return str(item.get("id"))

app/utils/llm_summarizer.py

@@ -29,7 +29,7 @@ class OpenAICompatSummarizer:
         self.api_base = (api_base or os.getenv("LLM_API_BASE") or "https://researchengineering-agi.hf.space").rstrip("/")
         self.api_key = api_key if api_key is not None else os.getenv("LLM_API_KEY", "")
         self.model = model or os.getenv("LLM_MODEL", "gpt-4o-mini")
-        self.timeout = timeout or int(os.getenv("LLM_TIMEOUT", "300"))
+        self.timeout = timeout or int(os.getenv("LLM_TIMEOUT", "600"))
         # Conservative defaults to avoid large token bursts on slow servers.
         self.max_items_per_request = max_items_per_request or int(os.getenv("LLM_SUMMARY_BATCH", "2"))
         self.max_chars_per_item = max_chars_per_item or int(os.getenv("LLM_SUMMARY_MAX_CHARS", "600"))