diff --git a/vision_agent/agent/vision_agent_v2.py b/vision_agent/agent/vision_agent_v2.py
index 340ba42e..c6d1e423 100644
--- a/vision_agent/agent/vision_agent_v2.py
+++ b/vision_agent/agent/vision_agent_v2.py
@@ -165,7 +165,7 @@ def write_and_exec_code(
     tool_info: str,
     exec: Execute,
     retrieved_ltm: str,
-    log_progress: Callable[..., str],
+    log_progress: Callable[[Dict[str, Any]], None],
     max_retry: int = 3,
     verbosity: int = 0,
 ) -> Tuple[bool, str, str, Dict[str, List[str]]]:
@@ -179,7 +179,17 @@ def write_and_exec_code(
     success, result = exec.run_isolation(code)
     if verbosity == 2:
         _CONSOLE.print(Syntax(code, "python", theme="gruvbox-dark", line_numbers=True))
-        log_progress(f"\tCode success: {success}\n\tResult: {str(result)}", code)
+        log_progress({
+            "log": f"Code success: {success}",
+        })
+        log_progress({
+            "log": "Code:",
+            "code": code,
+        })
+        log_progress({
+            "log": "Result:",
+            "result": str(result),
+        })
         _LOGGER.info(f"\tCode success: {success}, result: {str(result)}")
     working_memory: Dict[str, List[str]] = {}
     while not success and counter < max_retry:
@@ -206,7 +216,14 @@ def write_and_exec_code(
             _CONSOLE.print(
                 Syntax(code, "python", theme="gruvbox-dark", line_numbers=True)
             )
-            log_progress(f"\tDebugging reflection: {reflection}\n\tResult: {result}")
+            log_progress({
+                "log": "Debugging reflection:",
+                "reflection": reflection,
+            })
+            log_progress({
+                "log": "Result:",
+                "result": result,
+            })
             _LOGGER.info(f"\tDebugging reflection: {reflection}, result: {result}")
 
         if success:
@@ -227,7 +244,7 @@ def run_plan(
     exec: Execute,
     code: str,
     tool_recommender: Sim,
-    log_progress: Callable[..., str],
+    log_progress: Callable[[Dict[str, str]], None],
     long_term_memory: Optional[Sim] = None,
     verbosity: int = 0,
 ) -> Tuple[str, str, List[Dict[str, Any]], Dict[str, List[str]]]:
@@ -238,10 +255,10 @@ def run_plan(
     working_memory: Dict[str, List[str]] = {}
 
     for task in active_plan:
-        log_progress(
-            f"""Going to run the following task(s) in sequence:
-{tabulate(tabular_data=[task], headers="keys", tablefmt="mixed_grid", maxcolwidths=_MAX_TABULATE_COL_WIDTH)}"""
-        )
+        log_progress({
+            "log": f"Going to run the following task(s) in sequence:\n",
+            "task": task
+        })
         _LOGGER.info(
             f"""
 {tabulate(tabular_data=[task], headers="keys", tablefmt="mixed_grid", maxcolwidths=_MAX_TABULATE_COL_WIDTH)}"""
@@ -250,7 +267,9 @@ def run_plan(
         tool_info = "\n".join([e["doc"] for e in tools])
 
         if verbosity == 2:
-            log_progress(f"Tools retrieved: {[e['desc'] for e in tools]}")
+            log_progress({
+                "log": f"Tools retrieved: {[e['desc'] for e in tools]}"
+            })
             _LOGGER.info(f"Tools retrieved: {[e['desc'] for e in tools]}")
 
         if long_term_memory is not None:
@@ -282,7 +301,13 @@ def run_plan(
                 Syntax(code, "python", theme="gruvbox-dark", line_numbers=True)
             )
 
-        log_progress(f"\tCode success: {success}\n\tResult: {str(result)}")
+        log_progress({
+            "log": f"Code success: {success}",
+        })
+        log_progress({
+            "log": "Result:",
+            "result": str(result),
+        })
         _LOGGER.info(f"\tCode success: {success} result: {str(result)}")
 
         task["success"] = success
@@ -320,7 +345,7 @@ def __init__(
         tool_recommender: Optional[Sim] = None,
         long_term_memory: Optional[Sim] = None,
         verbosity: int = 0,
-        report_progress_callback: Optional[Callable[..., Any]] = None,
+        report_progress_callback: Optional[Callable[[Dict[str, Any]], None]] = None,
     ) -> None:
         self.planner = OpenAILLM(temperature=0.0, json_mode=True)
         self.coder = OpenAILLM(temperature=0.0)
@@ -375,10 +400,10 @@ def chat_with_workflow(
                     working_code = task["code"]
 
         user_req, plan = write_plan(chat, plan, TOOL_DESCRIPTIONS, self.planner)
-        self.log_progress(
-            f"""Plan:
-{tabulate(tabular_data=plan, headers="keys", tablefmt="mixed_grid", maxcolwidths=_MAX_TABULATE_COL_WIDTH)}"""
-        )
+        self.log_progress({
+            "log": "Plans:",
+            "plan": plan,
+        })
         _LOGGER.info(
             f"""Plan:
 {tabulate(tabular_data=plan, headers="keys", tablefmt="mixed_grid", maxcolwidths=_MAX_TABULATE_COL_WIDTH)}"""
@@ -412,8 +437,10 @@ def chat_with_workflow(
 
             retries += 1
 
-        self.log_progress("The Vision Agent V2 has concluded this chat.")
-        self.log_progress(f"<ANSWER>Plan success: {success}</ANSWER>")
+        self.log_progress({
+            "log": f"The Vision Agent V2 has concluded this chat.\nSuccess: {success}",
+            "finished": True,
+        })
 
         return {
             "code": working_code,
@@ -423,7 +450,7 @@ def chat_with_workflow(
             "plan": plan,
         }
 
-    def log_progress(self, description: str, code: Optional[str] = "") -> None:
+    def log_progress(self, data: Dict[str, any]) -> None:
         if self.report_progress_callback is not None:
-            self.report_progress_callback(description, code)
+            self.report_progress_callback(data)
         pass
diff --git a/vision_agent/agent/vision_agent_v3.py b/vision_agent/agent/vision_agent_v3.py
index d8de28c6..6e5e735e 100644
--- a/vision_agent/agent/vision_agent_v3.py
+++ b/vision_agent/agent/vision_agent_v3.py
@@ -3,7 +3,7 @@
 import logging
 import sys
 from pathlib import Path
-from typing import Any, Dict, List, Optional, Union, cast
+from typing import Any, Dict, List, Optional, Union, cast, Callable
 
 from rich.console import Console
 from rich.syntax import Syntax
@@ -114,6 +114,7 @@ def write_and_test_code(
     coder: LLM,
     tester: LLM,
     debugger: LLM,
+    log_progress: Callable[[Dict[str, str]], None],
     verbosity: int = 0,
     max_retries: int = 3,
 ) -> Dict[str, Any]:
@@ -131,9 +132,17 @@ def write_and_test_code(
     success, result = _EXECUTE.run_isolation(f"{code}\n{test}")
     if verbosity == 2:
         _LOGGER.info("First code and tests:")
+        log_progress({
+            "log": "First code and tests:",
+            "code": f"{code}\n{test}",
+        })
         _CONSOLE.print(
             Syntax(f"{code}\n{test}", "python", theme="gruvbox-dark", line_numbers=True)
         )
+        log_progress({
+            "log": "First result:",
+            "result": result,
+        })
         _LOGGER.info(f"First result: {result}")
 
     count = 0
@@ -156,6 +165,10 @@ def write_and_test_code(
 
         success, result = _EXECUTE.run_isolation(f"{code}\n{test}")
         if verbosity == 2:
+            log_progress({
+                "log": f"Debug attempt {count + 1}, reflection:",
+                "reflection": fixed_code_and_test['reflections'],
+            })
             _LOGGER.info(
                 f"Debug attempt {count + 1}, reflection: {fixed_code_and_test['reflections']}"
             )
@@ -164,6 +177,10 @@ def write_and_test_code(
                     f"{code}\n{test}", "python", theme="gruvbox-dark", line_numbers=True
                 )
             )
+            log_progress({
+                "log": "Debug result:",
+                "result": result,
+            })
             _LOGGER.info(f"Debug result: {result}")
         count += 1
 
@@ -182,7 +199,10 @@ def write_and_test_code(
 
 
 def retrieve_tools(
-    plan: List[Dict[str, str]], tool_recommender: Sim, verbosity: int = 0
+    plan: List[Dict[str, str]],
+    tool_recommender: Sim,
+    log_progress: Callable[[Dict[str, str]], None],
+    verbosity: int = 0
 ) -> str:
     tool_info = []
     tool_desc = []
@@ -191,6 +211,10 @@ def retrieve_tools(
         tool_info.extend([e["doc"] for e in tools])
         tool_desc.extend([e["desc"] for e in tools])
     if verbosity == 2:
+        log_progress({
+            "log": f"Retrieved tools:",
+            "tools": tool_desc,
+        })
         _LOGGER.info(f"Tools: {tool_desc}")
     tool_info_set = set(tool_info)
     return "\n\n".join(tool_info_set)
@@ -206,6 +230,7 @@ def __init__(
         debugger: Optional[LLM] = None,
         tool_recommender: Optional[Sim] = None,
         verbosity: int = 0,
+        report_progress_callback: Optional[Callable[[Dict[str, Any]], None]] = None,
     ) -> None:
         self.planner = (
             OpenAILLM(temperature=0.0, json_mode=True) if planner is None else planner
@@ -223,6 +248,7 @@ def __init__(
         )
         self.verbosity = verbosity
         self.max_retries = 3
+        self.report_progress_callback = report_progress_callback
 
     def __call__(
         self,
@@ -261,6 +287,10 @@ def chat_with_workflow(
             )
             plan_i_str = "\n-".join([e["instructions"] for e in plan_i])
             if self.verbosity == 1 or self.verbosity == 2:
+                self.log_progress({
+                    "log": f"Going to run the following plan(s) in sequence:\n",
+                    "plan": plan_i,
+                })
                 _LOGGER.info(
                     f"""
 {tabulate(tabular_data=plan_i, headers="keys", tablefmt="mixed_grid", maxcolwidths=_MAX_TABULATE_COL_WIDTH)}"""
@@ -269,6 +299,7 @@ def chat_with_workflow(
             tool_info = retrieve_tools(
                 plan_i,
                 self.tool_recommender,
+                self.log_progress,
                 self.verbosity,
             )
             results = write_and_test_code(
@@ -279,6 +310,7 @@ def chat_with_workflow(
                 self.coder,
                 self.tester,
                 self.debugger,
+                self.log_progress,
                 verbosity=self.verbosity,
             )
             success = cast(bool, results["success"])
@@ -294,6 +326,11 @@ def chat_with_workflow(
             success = cast(bool, reflection["success"])
             working_memory.append({"code": f"{code}\n{test}", "feedback": feedback})
 
+        self.log_progress({
+            "log": f"The Vision Agent V3 has concluded this chat.\nSuccess: {success}",
+            "finished": True,
+        })
+
         return {
             "code": code,
             "test": test,
@@ -301,5 +338,7 @@ def chat_with_workflow(
             "working_memory": working_memory,
         }
 
-    def log_progress(self, description: str) -> None:
+    def log_progress(self, data: Dict[str, any]) -> None:
+        if self.report_progress_callback is not None:
+            self.report_progress_callback(data)
         pass