feat(cli): add /compress command for manual conversation context compression

Introduced a new command "/compress" to the CLI, allowing users to manually trigger context compression on the current conversation. The method checks for sufficient conversation history and active agent status before performing compression, providing feedback on the number of messages and tokens before and after the operation. Updated command documentation accordingly.

cli.py

@@ -1722,6 +1722,8 @@ class HermesCLI:
             self._show_gateway_status()
         elif cmd_lower == "/verbose":
             self._toggle_verbose()
+        elif cmd_lower == "/compress":
+            self._manual_compress()
         else:
             # Check for skill slash commands (/gif-search, /axolotl, etc.)
             base_cmd = cmd_lower.split()[0]
@@ -1763,6 +1765,41 @@ class HermesCLI:
         }
         self.console.print(labels.get(self.tool_progress_mode, ""))
 
+    def _manual_compress(self):
+        """Manually trigger context compression on the current conversation."""
+        if not self.conversation_history or len(self.conversation_history) < 4:
+            print("(._.) Not enough conversation to compress (need at least 4 messages).")
+            return
+
+        if not self.agent:
+            print("(._.) No active agent -- send a message first.")
+            return
+
+        if not self.agent.compression_enabled:
+            print("(._.) Compression is disabled in config.")
+            return
+
+        original_count = len(self.conversation_history)
+        try:
+            from agent.model_metadata import estimate_messages_tokens_rough
+            approx_tokens = estimate_messages_tokens_rough(self.conversation_history)
+            print(f"🗜️  Compressing {original_count} messages (~{approx_tokens:,} tokens)...")
+
+            compressed, new_system = self.agent._compress_context(
+                self.conversation_history,
+                self.agent._cached_system_prompt or "",
+                approx_tokens=approx_tokens,
+            )
+            self.conversation_history = compressed
+            new_count = len(self.conversation_history)
+            new_tokens = estimate_messages_tokens_rough(self.conversation_history)
+            print(
+                f"  ✅ Compressed: {original_count} → {new_count} messages "
+                f"(~{approx_tokens:,} → ~{new_tokens:,} tokens)"
+            )
+        except Exception as e:
+            print(f"  ❌ Compression failed: {e}")
+
         if self.verbose:
             logging.getLogger().setLevel(logging.DEBUG)
             for noisy in ('openai', 'openai._base_client', 'httpx', 'httpcore', 'asyncio', 'hpack', 'grpc', 'modal'):