**feat: refactor agent loop to state machine with dynamic trajectory checks**

- Replace hard-coded `MAX_REPL_STEPS` death-limit with a dynamic Checkpoint Interval.
- Introduce 4-phase state machine: `PLANNING`, `EXECUTING`, `TRAJECTORY_CHECK`, and `PIVOTING`.
- Add Trajectory Checks allowing the agent to self-assess progress against defined success criteria to extend its execution budget.
- Implement Hard (wipe strategy/kernel) and Soft (retry step) Pivoting logic.
- Establish persistent notebook-style kernel (flushed only on Hard Pivots).
- Upgrade sandbox safety with strict import whitelisting, dunder blocking, and taint tracking.

**bugfix:

- logging_config.py: Add markdown_it to suppressed logger list
- utils.py: Rewrite save_agent_trace for delta-based logging
- edge_rlm.py: Add last_trace_msg_count tracking and pass deltas at all 3 call sites

logging_config.py

@@ -26,7 +26,7 @@ class JSONFormatter(logging.Formatter):
 
 
 def setup_logging(level=logging.INFO, log_file=None):
-    for lib_name in ("urllib3", "requests", "http.client", "markdown", "Markdown"):
+    for lib_name in ("urllib3", "requests", "http.client", "markdown", "Markdown", "markdown_it"):
         logging.getLogger(lib_name).setLevel(logging.WARNING)
 
     handlers = [