feat(automation): improve prompt handling and message processing

- Add initial instruction to compact_prompt_for_bots summary request
- Store processed content separately before formatting as summary
- Save filtered content instead of formatted summary in session manager
- Remove max_tokens limit from OpenAI client request
- Refactor message parsing logic to avoid empty content messages
- Improve role-based message handling in OpenAIClient

src/automation/compact_prompt.rs

@@ -101,7 +101,7 @@ async fn compact_prompt_for_bots(
             messages_since_summary
         );
 
-        let mut compacted = String::new();
+        let mut compacted = "Please summarize the following conversation between a human and an AI assistant:\n".to_string();
 
         // Include messages from start_index onward
         let messages_to_include = history.iter().skip(start_index);
@@ -114,6 +114,7 @@ async fn compact_prompt_for_bots(
         }
         let llm_provider = state.llm_provider.clone();
         trace!("Starting summarization for session {}", session.id);
+        let mut filtered = String::new();
         let summarized = match llm_provider.generate(&compacted, &serde_json::Value::Null).await {
             Ok(summary) => {
                 trace!(
@@ -128,7 +129,7 @@ async fn compact_prompt_for_bots(
                         .unwrap().as_str(),
                 );
 
-                let filtered = handler.process_content(&summary);
+                filtered = handler.process_content(&summary);
                 format!("SUMMARY: {}", filtered)
             }
             Err(e) => {
@@ -147,7 +148,7 @@ async fn compact_prompt_for_bots(
         );
         {
             let mut session_manager = state.session_manager.lock().await;
-            session_manager.save_message(session.id, session.user_id, 9, &summarized, 1)?;
+            session_manager.save_message(session.id, session.user_id, 9, &filtered, 1)?;
         }
 
         let _session_cleanup = guard((), |_| {

src/llm/mod.rs

@@ -81,7 +81,6 @@ impl LLMProvider for OpenAIClient {
             .json(&serde_json::json!({
                 "model": "gpt-3.5-turbo",
                 "messages": messages,
-                "max_tokens": 1000,
                 "stream": true
             }))
             .send()
@@ -135,18 +134,20 @@ impl OpenAIClient {
                     "compact" => "system",
                     _ => continue
                 };
-                {
-                    if let Some(r) = current_role.take() {
+                
+                if let Some(r) = current_role.take() {
+                    if !current_content.is_empty() {
                         messages.push(serde_json::json!({
                             "role": r,
                             "content": current_content.trim()
                         }));
                     }
-                    current_role = Some(role);
-                    current_content = line[role_end + 1..].trim_start().to_string();
-                    continue;
                 }
+                current_role = Some(role);
+                current_content = line[role_end + 1..].trim_start().to_string();
+                continue;
             }
+            
             if let Some(_) = current_role {
                 if !current_content.is_empty() {
                     current_content.push('\n');
@@ -156,10 +157,12 @@ impl OpenAIClient {
         }
 
         if let Some(role) = current_role {
-            messages.push(serde_json::json!({
-                "role": role,
-                "content": current_content.trim()
-            }));
+            if !current_content.is_empty() {
+                messages.push(serde_json::json!({
+                    "role": role,
+                    "content": current_content.trim()
+                }));
+            }
         }
         messages
     }