Implement model (and some factor) coder with evolving (#52)

* store code into FBImplementation

* fix path related bugs

* fix a bug

* fix factor related small bugs

* re-submit all model related code

* new code to model coder

* finish the model evolving code

---------

Co-authored-by: xuyang1 <xuyang1@microsoft.com>

rdagent/components/coder/model_coder/conf.py

@@ -1,13 +1,32 @@
 from pathlib import Path
+from typing import Union
 
 from pydantic_settings import BaseSettings
 
 
 class ModelImplSettings(BaseSettings):
-    workspace_path: Path = Path("./git_ignore_folder/model_imp_workspace/")  # Added type annotation for work_space
-
     class Config:
         env_prefix = "MODEL_IMPL_"  # Use MODEL_IMPL_ as prefix for environment variables
 
+    file_based_execution_workspace: str = str(
+        (Path().cwd() / "git_ignore_folder" / "model_implementation_workspace").absolute(),
+    )
+    implementation_execution_cache_location: str = str(
+        (Path().cwd() / "git_ignore_folder" / "model_implementation_execution_cache").absolute(),
+    )
+
+    knowledge_base_path: Union[str, None] = None
+    new_knowledge_base_path: Union[str, None] = None
+
+    max_loop: int = 10
+
+    query_former_trace_limit: int = 5
+    query_similar_success_limit: int = 5
+    fail_task_trial_limit: int = 20
+
+    evo_multi_proc_n: int = 1
+
+    enable_execution_cache: bool = True  # whether to enable the execution cache
+
 
 MODEL_IMPL_SETTINGS = ModelImplSettings()