The unlooping and fixing of file execution.

autogpt/__init__.py

@@ -1,5 +1,13 @@
+import os
+import random
+import sys
+
 from dotenv import load_dotenv
 
+if "pytest" in sys.argv or "pytest" in sys.modules or os.getenv("CI"):
+    print("Setting random seed to 42")
+    random.seed(42)
+
 # Load the users .env file into environment variables
 load_dotenv(verbose=True, override=True)
 

autogpt/chat.py

@@ -1,4 +1,5 @@
 import time
+from random import shuffle
 
 from openai.error import RateLimitError
 
@@ -80,12 +81,17 @@ def chat_with_ai(
 
             logger.debug(f"Token limit: {token_limit}")
             send_token_limit = token_limit - 1000
-
-            relevant_memory = (
-                ""
-                if len(full_message_history) == 0
-                else permanent_memory.get_relevant(str(full_message_history[-9:]), 10)
-            )
+            if len(full_message_history) == 0:
+                relevant_memory = ""
+            else:
+                recent_history = full_message_history[-5:]
+                shuffle(recent_history)
+                relevant_memories = permanent_memory.get_relevant(
+                    str(recent_history), 5
+                )
+                if relevant_memories:
+                    shuffle(relevant_memories)
+                relevant_memory = str(relevant_memories)
 
             logger.debug(f"Memory Stats: {permanent_memory.get_stats()}")
 

autogpt/commands/execute_code.py

@@ -1,6 +1,7 @@
 """Execute code in a Docker container"""
 import os
 import subprocess
+from pathlib import Path
 
 import docker
 from docker.errors import ImageNotFound
@@ -40,7 +41,6 @@ def execute_python_file(filename: str) -> str:
 
     try:
         client = docker.from_env()
-
         # You can replace this with the desired Python image/version
         # You can find available Python images on Docker Hub:
         # https://hub.docker.com/_/python
@@ -60,10 +60,9 @@ def execute_python_file(filename: str) -> str:
                     print(f"{status}: {progress}")
                 elif status:
                     print(status)
-
         container = client.containers.run(
             image_name,
-            f"python {filename}",
+            f"python {Path(filename).relative_to(CFG.workspace_path)}",
             volumes={
                 CFG.workspace_path: {
                     "bind": "/workspace",

autogpt/json_utils/json_fix_llm.py

@@ -91,14 +91,33 @@ def fix_json_using_multiple_techniques(assistant_reply: str) -> Dict[Any, Any]:
     Returns:
         str: The fixed JSON string.
     """
+    assistant_reply = assistant_reply.strip()
+    if assistant_reply.startswith("```json"):
+        assistant_reply = assistant_reply[7:]
+    if assistant_reply.endswith("```"):
+        assistant_reply = assistant_reply[:-3]
+    try:
+        return json.loads(assistant_reply)  # just check the validity
+    except json.JSONDecodeError:  # noqa: E722
+        pass
+
+    if assistant_reply.startswith("json "):
+        assistant_reply = assistant_reply[5:]
+        assistant_reply = assistant_reply.strip()
+    try:
+        return json.loads(assistant_reply)  # just check the validity
+    except json.JSONDecodeError:  # noqa: E722
+        pass
 
     # Parse and print Assistant response
     assistant_reply_json = fix_and_parse_json(assistant_reply)
+    logger.debug("Assistant reply JSON: %s", str(assistant_reply_json))
     if assistant_reply_json == {}:
         assistant_reply_json = attempt_to_fix_json_by_finding_outermost_brackets(
             assistant_reply
         )
 
+    logger.debug("Assistant reply JSON 2: %s", str(assistant_reply_json))
     if assistant_reply_json != {}:
         return assistant_reply_json
 

autogpt/prompts/prompt.py

@@ -71,6 +71,9 @@ def build_default_prompt_generator() -> PromptGenerator:
         "Every command has a cost, so be smart and efficient. Aim to complete tasks in"
         " the least number of steps."
     )
+    prompt_generator.add_performance_evaluation(
+        "If you cannot think of a valid command to perform start or message an agent to determine the next command."
+    )
     prompt_generator.add_performance_evaluation("Write all code to a file.")
     return prompt_generator
 

autogpt/workspace/workspace.py

@@ -11,6 +11,8 @@
 
 from pathlib import Path
 
+from autogpt.logs import logger
+
 
 class Workspace:
     """A class that represents a workspace for an AutoGPT agent."""
@@ -112,15 +114,21 @@ def _sanitize_path(
         if root is None:
             return Path(relative_path).resolve()
 
+        logger.debug(f"Resolving path '{relative_path}' in workspace '{root}'")
+
         root, relative_path = Path(root).resolve(), Path(relative_path)
 
+        logger.debug(f"Resolved root as '{root}'")
+
         if relative_path.is_absolute():
             raise ValueError(
                 f"Attempted to access absolute path '{relative_path}' in workspace '{root}'."
             )
 
         full_path = root.joinpath(relative_path).resolve()
 
+        logger.debug(f"Joined paths as '{full_path}'")
+
         if restrict_to_root and not full_path.is_relative_to(root):
             raise ValueError(
                 f"Attempted to access path '{full_path}' outside of workspace '{root}'."