update appworld experiment & readme

cookbook/appworld/appworld_react_agent.py

@@ -1,7 +1,5 @@
 import os
 from typing import List
-
-from oauthlib.uri_validate import query
 from tqdm import tqdm
 
 os.environ["APPWORLD_ROOT"] = "."
@@ -63,7 +61,7 @@ class AppworldReactAgent:
                     model=self.model_name,
                     messages=messages,
                     temperature=self.temperature,
-                    extra_body={"enable_thinking": True},
+                    extra_body={"enable_thinking": False},
                     seed=0)
 
                 return response.choices[0].message.content
@@ -84,7 +82,7 @@ class AppworldReactAgent:
         print(dictionary)
         prompt = Template(PROMPT_TEMPLATE_WITH_EXPERIENCE.lstrip()).render(dictionary)
         messages: list[dict] = []
-        last_start = 0
+        # last_start = 0
         # for match in re.finditer("(USER|ASSISTANT|SYSTEM):\n", prompt):
         #     last_end = match.span()[0]
         #     if len(messages) == 0:

cookbook/appworld/quickstart.md

@@ -57,7 +57,7 @@ Launch the ReMe service to enable memory library functionality:
 ```bash
 reme \
   backend=http \
-  http.port=8001 \
+  http.port=8002 \
   llm.default.model_name=qwen-max-latest \
   embedding_model.default.model_name=text-embedding-v4 \
   vector_store.default.backend=local
@@ -65,12 +65,12 @@ reme \
 
 add memories for appworld:
 ```bash
-curl -X POST "http://0.0.0.0:8001/vector_store" \
+curl -X POST "http://0.0.0.0:8002/vector_store" \
   -H "Content-Type: application/json" \
   -d '{
-    "workspace_id": "appworld_v1",
-    "action": "dump",
-    "path": "./memory_library"
+    "workspace_id": "appworld",
+    "action": "load",
+    "path": "./docs/library"
   }'
 ```
 Now you have loaded the ReMe memory library to enable memory-based agent!

cookbook/appworld/run_appworld.py

@@ -59,7 +59,7 @@ def dump_memory(workspace_id: str, path: str = "./", api_url: str = "http://0.0.
         print(f"Memory dumped to {path}")
 
 
-def load_memory(workspace_id: str, path: str = "./", api_url: str = "http://0.0.0.0:8002/"):
+def load_memory(workspace_id: str, path: str = "docs/library", api_url: str = "http://0.0.0.0:8002/"):
     """Load memories from disk into the vector store"""
     response = requests.post(
         url=f"{api_url}vector_store",
@@ -138,7 +138,7 @@ def run_agent(dataset_name: str, experiment_suffix: str, max_workers: int, num_r
 def main():
     max_workers = 8
     num_runs = 1  # Run each task once
-    workspace_id = "appworld_v1"
+    workspace_id = "appworld"
     api_url = "http://0.0.0.0:8002/"
     
     if max_workers > 1:
@@ -149,32 +149,29 @@ def main():
     delete_workspace(workspace_id=workspace_id, api_url=api_url)
     
     # First run to build task memories
-    logger.info("Start running experiments to build task memories")
-    run_agent(dataset_name="dev", experiment_suffix="build-memory", 
-              max_workers=max_workers, num_runs=1,
-              use_task_memory=False, make_task_memory=True, 
-              workspace_id=workspace_id, api_url=api_url)
-    
-    # Dump memories to disk for persistence
-    logger.info("Dumping memories to disk...")
-    dump_memory(workspace_id=workspace_id, api_url=api_url)
-    
-    # Run experiments without task memory
-    logger.info("Start running experiments without task memory")
-    for i in range(num_runs):
-        run_agent(dataset_name="dev", experiment_suffix=f"no-memory", 
-                  max_workers=max_workers, num_runs=1,
-                  use_task_memory=False, make_task_memory=False, 
-                  workspace_id=workspace_id, api_url=api_url)
+    logger.info("Start load experiments to build task memories")
+    load_memory(workspace_id=workspace_id, api_url=api_url)
+    # run_agent(dataset_name="dev", experiment_suffix="build-memory",
+    #           max_workers=max_workers, num_runs=1,
+    #           use_task_memory=False, make_task_memory=True,
+    #           workspace_id=workspace_id, api_url=api_url)
 
-    # Run experiments with task memory
-    logger.info("Start running experiments with task memory")
     for i in range(num_runs):
+
+        # Run experiments with task memory
+        logger.info("Start running experiments with task memory")
         run_agent(dataset_name="dev", experiment_suffix=f"with-memory", 
                   max_workers=max_workers, num_runs=1, 
                   use_task_memory=True, make_task_memory=False,
                   workspace_id=workspace_id, api_url=api_url)
 
+        # Run experiments without task memory
+        logger.info("Start running experiments without task memory")
+        run_agent(dataset_name="dev", experiment_suffix=f"no-memory",
+                  max_workers=max_workers, num_runs=1,
+                  use_task_memory=False, make_task_memory=False,
+                  workspace_id=workspace_id, api_url=api_url)
+
 
 
 if __name__ == "__main__":