fixes

config.example.toml

@@ -74,6 +74,30 @@ model = "deepseek-v4-pro"
 # Lower values improve consistency.
 temperature = 0.2
 
+[llm_prompt]
+# Customize these prompts freely. The backend appends the required JSON response schema.
+system = """
+You are an expert editor for Mandarin VTuber livestream clips.
+Identify moments that work as entertaining standalone clips for Bilibili viewers.
+Prioritize strong reactions, jokes, surprising turns, memorable conversations, and moments with a clear payoff.
+Avoid repetitive stretches, dead air, and segments that require too much missing context.
+Return only the requested JSON object.
+"""
+
+# Available placeholders:
+# {max_candidates}, {min_clip_seconds}, {max_clip_seconds},
+# {chunk_start_sec}, {chunk_end_sec}, {transcript}
+user = """
+Review the timestamped livestream transcript below.
+Choose up to {max_candidates} compelling clip candidates.
+Each clip must be between {min_clip_seconds} and {max_clip_seconds} seconds long.
+Use absolute stream timestamps and give each candidate a concise Chinese title and summary.
+
+Transcript range: {chunk_start_sec}-{chunk_end_sec}
+Transcript:
+{transcript}
+"""
+
 [defaults]
 # Initial automatic pipeline settings. These can later be changed through the API/UI.
 suggest_enabled = true
@@ -91,7 +115,10 @@ min_seconds = 30
 max_seconds = 360
 
 # Transcript seconds per DeepSeek request. Larger chunks use more tokens.
-transcript_chunk_seconds = 900
+transcript_chunk_seconds = 14400
+
+# Maximum number of suggestions kept across the entire transcript.
+max_candidates_total = 20
 
 [thumbnail]
 # Generate thumbnails during clip render.
@@ -104,8 +131,8 @@ provider = "frame_overlay"
 width = 1920
 height = 1080
 
-# Optional transparent PNG of the VTuber character.
-character_overlay_path = ""
+# Directory of transparent VTuber character PNGs. One is selected randomly per thumbnail.
+character_overlay_dir = "/data/evanescere/assets/"
 
 # Character height as a fraction of thumbnail height.
 character_scale = 0.42