Merge remote-tracking branch 'upstream/master' into fix-user-feedback-json-error

.gitignore

@@ -7,9 +7,10 @@ package-lock.json
 auto_gpt_workspace/*
 *.mpeg
 .env
-venv/*
+*venv/*
 outputs/*
 ai_settings.yaml
 .vscode
+.idea/*
 auto-gpt.json
 log.txt

CONTRIBUTING.md

@@ -6,7 +6,7 @@ To contribute to this GitHub project, you can follow these steps:
 2. Clone the repository to your local machine using the following command:
 
 ```
-git clone https://github.com/Torantulino/Auto-GPT
+git clone https://github.com/<YOUR-GITHUB-USERNAME>/Auto-GPT
 ```
 3. Create a new branch for your changes using the following command:
 

README.md

@@ -58,7 +58,7 @@ Your support is greatly appreciated
 
 ## 📋 Requirements
 - [Python 3.8 or later](https://www.tutorialspoint.com/how-to-install-python-in-windows)
-- OpenAI API key
+- [OpenAI API key](https://platform.openai.com/account/api-keys)
 - [PINECONE API key](https://www.pinecone.io/)
 
 Optional:

scripts/main.py

@@ -301,6 +301,7 @@ def prompt_user():
 def parse_arguments():
     """Parses the arguments passed to the script"""
     global cfg
+    cfg.set_debug_mode(False)
     cfg.set_continuous_mode(False)
     cfg.set_speak_mode(False)
 
@@ -332,6 +333,9 @@ def parse_arguments():
         print_to_console("GPT4 Only Mode: ", Fore.GREEN, "ENABLED")
         cfg.set_fast_llm_model(cfg.smart_llm_model)
 
+    if args.debug:
+        print_to_console("Debug Mode: ", Fore.GREEN, "ENABLED")
+        cfg.set_debug_mode(True)
 
 
 # TODO: fill in llm values here
@@ -425,7 +429,7 @@ while True:
             f"COMMAND = {Fore.CYAN}{command_name}{Style.RESET_ALL}  ARGUMENTS = {Fore.CYAN}{arguments}{Style.RESET_ALL}")
 
     # Execute command
-    if command_name.lower().startswith( "error" ):
+    if command_name is not None and command_name.lower().startswith( "error" ):
         result = f"Command {command_name} threw the following error: " + arguments
     elif command_name == "human_feedback":
         result = f"Human feedback: {user_input}"

scripts/memory/local.py

@@ -54,8 +54,8 @@ class LocalCache(MemoryProviderSingleton):
         vector = vector[np.newaxis, :]
         self.data.embeddings = np.concatenate(
             [
-                vector,
                 self.data.embeddings,
+                vector,
             ],
             axis=0,
         )

tests/integration/memory_tests.py

@@ -0,0 +1,49 @@
+import unittest
+import random
+import string
+import sys
+from pathlib import Path
+# Add the parent directory of the 'scripts' folder to the Python path
+sys.path.append(str(Path(__file__).resolve().parent.parent.parent / 'scripts'))
+from config import Config
+from memory.local import LocalCache
+
+class TestLocalCache(unittest.TestCase):
+
+    def random_string(self, length):
+        return ''.join(random.choice(string.ascii_letters) for _ in range(length))
+
+    def setUp(self):
+        cfg = cfg = Config()
+        self.cache = LocalCache(cfg)
+        self.cache.clear()
+
+        # Add example texts to the cache
+        self.example_texts = [
+            'The quick brown fox jumps over the lazy dog',
+            'I love machine learning and natural language processing',
+            'The cake is a lie, but the pie is always true',
+            'ChatGPT is an advanced AI model for conversation'
+        ]
+
+        for text in self.example_texts:
+            self.cache.add(text)
+
+        # Add some random strings to test noise
+        for _ in range(5):
+            self.cache.add(self.random_string(10))
+
+    def test_get_relevant(self):
+        query = "I'm interested in artificial intelligence and NLP"
+        k = 3
+        relevant_texts = self.cache.get_relevant(query, k)
+
+        print(f"Top {k} relevant texts for the query '{query}':")
+        for i, text in enumerate(relevant_texts, start=1):
+            print(f"{i}. {text}")
+
+        self.assertEqual(len(relevant_texts), k)
+        self.assertIn(self.example_texts[1], relevant_texts)
+
+if __name__ == '__main__':
+    unittest.main()