v2.2.1

src/radio_agent.py

@@ -219,9 +219,12 @@ class RadioAgent:
                     model=self.config.nebius_model,
                     messages=[{"role": "user", "content": prompt}],
                     temperature=0.9,
-                    max_tokens=100 #200
+                    max_tokens=200 #200
                 )
-                text = response.choices[0].message.content.strip()
+                content = response.choices[0].message.content
+                if not content:
+                    return "Welcome to AI Radio! Let's get started with some great music."
+                text = content.strip()
                 llm_logger.info(
                     "INTRO | model=%s | prompt=%r | response=%r",
                     self.config.nebius_model,
@@ -249,9 +252,12 @@ class RadioAgent:
                     model=self.config.nebius_model,
                     messages=[{"role": "user", "content": prompt}],
                     temperature=0.9,
-                    max_tokens=100 #200
+                    max_tokens=200 #200
                 )
-                text = response.choices[0].message.content.strip()
+                content = response.choices[0].message.content
+                if not content:
+                    return "Welcome to AI Radio! Let's get started with some great music."
+                text = content.strip()
                 llm_logger.info(
                     "OUTRO | model=%s | prompt=%r | response=%r",
                     self.config.nebius_model,
@@ -432,9 +438,12 @@ class RadioAgent:
                 model=self.config.nebius_model,
                 messages=[{"role": "user", "content": prompt}],
                 temperature=0.9,
-                max_tokens=100 #400
+                max_tokens=400 #400
             )
-            text = response.choices[0].message.content.strip()
+            content = response.choices[0].message.content
+            if not content:
+                return f"Coming up: {track['title']} by {track['artist']}! This is a fantastic {track['genre']} track that's perfect for your {mood} mood. Let's enjoy this one!"
+            text = content.strip()
             
             # Check if response references RAG context
             rag_used = False
@@ -451,7 +460,7 @@ class RadioAgent:
                 
                 if rag_used:
                     print(f"  ✅ [RAG] LLM response appears to reference RAG context!")
-                    rag_logger.info(f"✅ RAG CONTEXT USED in commentary for {track.get('title')}")
+                    llm_logger.info(f"✅ RAG CONTEXT USED in commentary for {track.get('title')}")
                 else:
                     print(f"  ℹ️  [RAG] LLM response doesn't explicitly reference context (may still be influenced)")
             
@@ -474,30 +483,59 @@ class RadioAgent:
         if self.client:
             try:
                 # Generate full news script (1-2 minutes of speech)
-                news_text = "\n".join([f"- {item['title']}: {item['summary']}" for item in news_items[:3]])
-                prompt = f"""You are a professional radio news presenter named Lera. Say that this is news time on the show.
-                Present these news items in a conversational, engaging way. This should be about 1 minute of speech (about 200-250 words, max_tokens = 400):
+                # Check if news items have required fields
+                valid_items = []
+                for item in news_items[:3]:
+                    if item.get('title') and item.get('summary'):
+                        valid_items.append(item)
                 
-                News text:
-                {news_text}
+                if not valid_items:
+                    print("⚠️ No valid news items with title and summary, using fallback")
+                    raise ValueError("No valid news items")
                 
-                Rewrite news to be nice to listen.
+                news_text = "\n".join([f"- {item['title']}: {item['summary']}" for item in valid_items])
+                print(f"📰 Generating news script from {len(valid_items)} items")
                 
-                Requirements:
-                - Provide context and background for each story
-                - Explain why these stories matter
-                - Use smooth transitions between stories
-                - Be informative but friendly and conversational
-                - Add brief analysis or implications when relevant
-                - Sound natural, like a real radio news anchor"""
+                prompt = f"""You are a professional radio news presenter named Lera. Say that this is news time on the show.
+Present these news items in a conversational, engaging way. Text includes only what Lera needs to say. This should be about 1 minute of speech (about 150-200 words):
+
+News items:
+{news_text}
+
+Requirements:
+- Start by saying "It's news time on the show"
+- Present each story in a conversational, engaging way
+- Provide brief context for each story
+- Use smooth transitions between stories
+- Be informative but friendly and conversational
+- Sound natural, like a real radio news anchor
+- Keep it concise - about 150-200 words total"""
                 
+                print(f"📝 News prompt length: {len(prompt)} chars")
                 response = self.client.chat.completions.create(
                     model=self.config.nebius_model,
                     messages=[{"role": "user", "content": prompt}],
                     temperature=0.9,
-                    max_tokens=100 #400
+                    max_tokens=400  # Increased from 100 to allow proper response
                 )
-                full_script = response.choices[0].message.content.strip()
+                
+                # Check response structure
+                if not response or not response.choices:
+                    print("⚠️ LLM returned empty response object")
+                    raise ValueError("Empty response object from LLM")
+                
+                if not response.choices[0].message:
+                    print("⚠️ LLM response has no message")
+                    raise ValueError("No message in LLM response")
+                
+                content = response.choices[0].message.content
+                if not content:
+                    print("⚠️ LLM returned empty content for news script, using fallback")
+                    print(f"   Response object: {response}")
+                    raise ValueError("Empty content from LLM")
+                
+                full_script = content.strip()
+                print(f"✅ Generated news script: {len(full_script)} chars, {len(full_script.split())} words")
                 llm_logger.info(
                     "NEWS | model=%s | prompt=%r | response=%r",
                     self.config.nebius_model,
@@ -523,12 +561,21 @@ class RadioAgent:
                 
                 return batches if batches else [full_script]
             except Exception as e:
-                print(f"Error generating news script: {e}")
-        
-        # Fallback
-        script = "In the news today: "
-        for item in news_items[:2]:
-            script += f"{item['title']}. "
+                print(f"❌ Error generating news script: {e}")
+                import traceback
+                traceback.print_exc()
+        
+        # Fallback - create a simple script from available news items
+        print("📰 Using fallback news script")
+        script = "It's news time on the show. "
+        valid_items = [item for item in news_items[:2] if item.get('title')]
+        if valid_items:
+            for item in valid_items:
+                title = item.get('title', 'News story')
+                script += f"{title}. "
+            script += "That's the news for now. Back to music!"
+        else:
+            script = "That's all for news. Back to music!"
         return [script]
     
     def _generate_podcast_intro(self, podcast: Dict[str, Any], preferences: Dict[str, Any]) -> str:
@@ -549,9 +596,12 @@ class RadioAgent:
                 model=self.config.nebius_model,
                 messages=[{"role": "user", "content": prompt}],
                 temperature=0.8,
-                max_tokens=100 #200
+                max_tokens=200 #200
             )
-            text = response.choices[0].message.content.strip()
+            content = response.choices[0].message.content
+            if not content:
+                return f"Here's an interesting podcast: {podcast.get('title', 'Unknown')}. Let's listen!"
+            text = content.strip()
             llm_logger.info(
                 "PODCAST | model=%s | prompt=%r | response=%r",
                 self.config.nebius_model,
@@ -576,9 +626,12 @@ class RadioAgent:
                 model=self.config.nebius_model,
                 messages=[{"role": "user", "content": prompt}],
                 temperature=0.9,
-                max_tokens=100 #600
+                max_tokens=600 #600
             )
-            text = response.choices[0].message.content.strip()
+            content = response.choices[0].message.content
+            if not content:
+                return "Here's a fascinating story for you. Let me share it with you."
+            text = content.strip()
             llm_logger.info(
                 "STORY | model=%s | prompt=%r | response=%r",
                 self.config.nebius_model,
@@ -610,9 +663,12 @@ Don't use emojis. Just speak naturally like a real DJ."""
                 model=self.config.nebius_model,
                 messages=[{"role": "user", "content": prompt}],
                 temperature=0.9,
-                max_tokens=100 #200 # Keep it short for fast response
+                max_tokens=200 #200 # Keep it short for fast response
             )
-            text = response.choices[0].message.content.strip()
+            content = response.choices[0].message.content
+            if not content:
+                return f"Great choice! Here's '{title}' by {artist} coming right up!"
+            text = content.strip()
             llm_logger.info(
                 "SONG_REQUEST | model=%s | prompt=%r | response=%r",
                 self.config.nebius_model,