Improve work log handling.

ra_aid/agent_utils.py

@@ -189,6 +189,7 @@ def run_research_agent(
         human_section=human_section,
         web_research_section=web_research_section,
         key_facts=key_facts,
+        work_log=get_memory_value('work_log'),
         code_snippets=code_snippets,
         related_files=related_files
     )
@@ -382,6 +383,7 @@ def run_planning_agent(
         related_files="\n".join(get_related_files()),
         key_facts=get_memory_value('key_facts'),
         key_snippets=get_memory_value('key_snippets'),
+        work_log=get_memory_value('work_log'),
         research_only_note='' if config.get('research_only') else ' Only request implementation if the user explicitly asked for changes to be made.'
     )
 

ra_aid/prompts.py

@@ -118,6 +118,11 @@ Relevant Code Snippets:
 Related Files:
 {related_files}
 
+Work done so far:
+<work log>
+{work_log}
+</work log>
+
 Be very thorough in your research and emit lots of snippets, key facts. If you take more than a few steps, be eager to emit research subtasks.{research_only_note}
 
 Objective
@@ -326,6 +331,11 @@ Relevant Code Snippets:
 Related Files:
 {related_files}
 
+Work done so far:
+<work log>
+{work_log}
+</work log>
+
 Be very thorough in your research and emit lots of snippets, key facts. If you take more than a few steps, be eager to emit research subtasks.
 
 Objective
@@ -439,6 +449,11 @@ Key Facts:
 Key Snippets:
 {key_snippets}
 
+Work done so far:
+<work log>
+{work_log}
+</work log>
+
 Fact Management:
     Each fact is identified with [Fact ID: X].
     Facts may be deleted if they become outdated, irrelevant, or duplicates.

ra_aid/tools/agent.py

@@ -9,7 +9,7 @@ ResearchResult = Dict[str, Union[str, bool, Dict[int, Any], List[Any], None]]
 from rich.console import Console
 from ra_aid.tools.memory import _global_memory
 from ra_aid.console.formatting import print_error
-from .memory import get_memory_value, get_related_files, get_work_log, reset_work_log
+from .memory import get_memory_value, get_related_files, get_work_log
 from .human import ask_human
 from ..llm import initialize_llm
 from ..console import print_task_header
@@ -78,10 +78,7 @@ def request_research(query: str) -> ResearchResult:
         # Get completion message if available
         completion_message = _global_memory.get('completion_message', 'Task was completed successfully.' if success else None)
         
-        # Get and reset work log if at root depth
-        work_log = get_work_log() if current_depth == 1 else None
-        if current_depth == 1:
-            reset_work_log()
+        work_log = get_work_log()
             
         # Clear completion state from global memory
         _global_memory['completion_message'] = ''
@@ -140,11 +137,7 @@ def request_web_research(query: str) -> ResearchResult:
         # Get completion message if available
         completion_message = _global_memory.get('completion_message', 'Task was completed successfully.' if success else None)
         
-        # Get and reset work log if at root depth
-        current_depth = _global_memory.get('agent_depth', 0)
-        work_log = get_work_log() if current_depth == 1 else None
-        if current_depth == 1:
-            reset_work_log()
+        work_log = get_work_log()
             
         # Clear completion state from global memory
         _global_memory['completion_message'] = ''
@@ -205,11 +198,7 @@ def request_research_and_implementation(query: str) -> Dict[str, Any]:
     # Get completion message if available
     completion_message = _global_memory.get('completion_message', 'Task was completed successfully.' if success else None)
     
-    # Get and reset work log if at root depth
-    current_depth = _global_memory.get('agent_depth', 0)
-    work_log = get_work_log() if current_depth == 1 else None
-    if current_depth == 1:
-        reset_work_log()
+    work_log = get_work_log()
     
     # Clear completion state from global memory
     _global_memory['completion_message'] = ''
@@ -278,10 +267,7 @@ def request_task_implementation(task_spec: str) -> Dict[str, Any]:
     completion_message = _global_memory.get('completion_message', 'Task was completed successfully.' if success else None)
     
     # Get and reset work log if at root depth
-    current_depth = _global_memory.get('agent_depth', 0)
-    work_log = get_work_log() if current_depth == 1 else None
-    if current_depth == 1:
-        reset_work_log()
+    work_log = get_work_log()
     
     # Clear completion state from global memory
     _global_memory['completion_message'] = ''
@@ -339,10 +325,7 @@ def request_implementation(task_spec: str) -> Dict[str, Any]:
     completion_message = _global_memory.get('completion_message', 'Task was completed successfully.' if success else None)
     
     # Get and reset work log if at root depth
-    current_depth = _global_memory.get('agent_depth', 0)
-    work_log = get_work_log() if current_depth == 1 else None
-    if current_depth == 1:
-        reset_work_log()
+    work_log = get_work_log()
     
     # Clear completion state from global memory
     _global_memory['completion_message'] = ''