Fix memory by adding it only when context window full (#3469)

* Fix memory by adding it only when context window full * clean json utils
2023-04-28 13:07:49 -07:00 · 2023-04-28 13:07:49 -07:00 · aa3e37ac14
parent 3b74d2150e
commit aa3e37ac14
6 changed files with 471 additions and 12 deletions
--- a/autogpt/agent/agent.py
+++ b/autogpt/agent/agent.py
@ -3,7 +3,7 @@ from colorama import Fore, Style
 from autogpt.app import execute_command, get_command
 from autogpt.config import Config
 from autogpt.json_utils.json_fix_llm import fix_json_using_multiple_techniques
-from autogpt.json_utils.utilities import validate_json
+from autogpt.json_utils.utilities import LLM_DEFAULT_RESPONSE_FORMAT, validate_json
 from autogpt.llm import chat_with_ai, create_chat_completion, create_chat_message
 from autogpt.logs import logger, print_assistant_thoughts
 from autogpt.speech import say_text
@ -107,7 +107,7 @@ class Agent:

            # Print Assistant thoughts
            if assistant_reply_json != {}:
-                validate_json(assistant_reply_json, "llm_response_format_1")
+                validate_json(assistant_reply_json, LLM_DEFAULT_RESPONSE_FORMAT)
                # Get command name and arguments
                try:
                    print_assistant_thoughts(
@ -251,13 +251,6 @@ class Agent:
                    result = plugin.post_command(command_name, result)
                if self.next_action_count > 0:
                    self.next_action_count -= 1
-            memory_to_add = (
-                f"Assistant Reply: {assistant_reply} "
-                f"\nResult: {result} "
-                f"\nHuman Feedback: {user_input} "
-            )
-
-            self.memory.add(memory_to_add)

            # Check if there's a result from the command append it to the message
            # history
--- a/autogpt/json_utils/utilities.py
+++ b/autogpt/json_utils/utilities.py
@ -8,6 +8,7 @@ from autogpt.config import Config
 from autogpt.logs import logger

 CFG = Config()
+LLM_DEFAULT_RESPONSE_FORMAT = "llm_response_format_1"


 def extract_char_position(error_message: str) -> int:
@ -28,10 +29,10 @@ def extract_char_position(error_message: str) -> int:
        raise ValueError("Character position not found in the error message.")


-def validate_json(json_object: object, schema_name: object) -> object:
+def validate_json(json_object: object, schema_name: str) -> dict | None:
    """
    :type schema_name: object
-    :param schema_name:
+    :param schema_name: str
    :type json_object: object
    """
    with open(f"autogpt/json_utils/{schema_name}.json", "r") as f:
@ -48,7 +49,32 @@ def validate_json(json_object: object, schema_name: object) -> object:

            for error in errors:
                logger.error(f"Error: {error.message}")
-    elif CFG.debug_mode:
+        return None
+    if CFG.debug_mode:
        print("The JSON object is valid.")

    return json_object
+
+
+def validate_json_string(json_string: str, schema_name: str) -> dict | None:
+    """
+    :type schema_name: object
+    :param schema_name: str
+    :type json_object: object
+    """
+
+    try:
+        json_loaded = json.loads(json_string)
+        return validate_json(json_loaded, schema_name)
+    except:
+        return None
+
+
+def is_string_valid_json(json_string: str, schema_name: str) -> bool:
+    """
+    :type schema_name: object
+    :param schema_name: str
+    :type json_object: object
+    """
+
+    return validate_json_string(json_string, schema_name) is not None
--- a/autogpt/llm/chat.py
+++ b/autogpt/llm/chat.py
@ -8,6 +8,9 @@ from autogpt.llm.api_manager import ApiManager
 from autogpt.llm.llm_utils import create_chat_completion
 from autogpt.llm.token_counter import count_message_tokens
 from autogpt.logs import logger
+from autogpt.memory_management.store_memory import (
+    save_memory_trimmed_from_context_window,
+)
 from autogpt.types.openai import Message

 cfg = Config()
@ -124,6 +127,11 @@ def chat_with_ai(

                tokens_to_add = count_message_tokens([message_to_add], model)
                if current_tokens_used + tokens_to_add > send_token_limit:
+                    save_memory_trimmed_from_context_window(
+                        full_message_history,
+                        next_message_to_add_index,
+                        permanent_memory,
+                    )
                    break

                # Add the most recent message to the start of the current context,
--- a/autogpt/memory_management/store_memory.py
+++ b/autogpt/memory_management/store_memory.py
@ -0,0 +1,33 @@
+from autogpt.json_utils.utilities import (
+    LLM_DEFAULT_RESPONSE_FORMAT,
+    is_string_valid_json,
+)
+from autogpt.logs import logger
+
+
+def format_memory(assistant_reply, next_message_content):
+    # the next_message_content is a variable to stores either the user_input or the command following the assistant_reply
+    result = (
+        "None" if next_message_content.startswith("Command") else next_message_content
+    )
+    user_input = (
+        "None"
+        if next_message_content.startswith("Human feedback")
+        else next_message_content
+    )
+
+    return f"Assistant Reply: {assistant_reply}\nResult: {result}\nHuman Feedback:{user_input}"
+
+
+def save_memory_trimmed_from_context_window(
+    full_message_history, next_message_to_add_index, permanent_memory
+):
+    while next_message_to_add_index >= 0:
+        message_content = full_message_history[next_message_to_add_index]["content"]
+        if is_string_valid_json(message_content, LLM_DEFAULT_RESPONSE_FORMAT):
+            next_message = full_message_history[next_message_to_add_index + 1]
+            memory_to_add = format_memory(message_content, next_message["content"])
+            logger.debug(f"Storing the following memory: {memory_to_add}")
+            permanent_memory.add(memory_to_add)
+
+        next_message_to_add_index -= 1
--- a/tests/integration/cassettes/test_memory_management/test_save_memory_trimmed_from_context_window.yaml
+++ b/tests/integration/cassettes/test_memory_management/test_save_memory_trimmed_from_context_window.yaml
@ -0,0 +1,335 @@
+interactions:
+- request:
+    body: '{"input": ["Assistant Reply: {     \"thoughts\": {         \"text\":   Result:
+      None  Human Feedback: Command Result: Important Information. "], "model": "text-embedding-ada-002",
+      "encoding_format": "base64"}'
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '207'
+      Content-Type:
+      - application/json
+    method: POST
+    uri: https://api.openai.com/v1/embeddings
+  response:
+    body:
+      string: !!binary |
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--- a/tests/integration/test_memory_management.py
+++ b/tests/integration/test_memory_management.py
@ -0,0 +1,64 @@
+import json
+
+import pytest
+
+from autogpt.config import Config
+from autogpt.memory import get_memory
+from autogpt.memory_management.store_memory import (
+    save_memory_trimmed_from_context_window,
+)
+from tests.utils import requires_api_key
+
+
+@pytest.fixture
+def message_history_fixture():
+    assistant_reply = {
+        "thoughts": {
+            "text": "thoughts",
+            "reasoning": "reasoning",
+            "plan": "plan",
+            "criticism": "criticism",
+            "speak": "speak",
+        },
+        "command": {"name": "google", "args": {"query": "google_query"}},
+    }
+    return [
+        {"content": json.dumps(assistant_reply, indent=4)},
+        {"content": "Command Result: Important Information."},
+    ]
+
+
+@pytest.fixture
+def expected_permanent_memory() -> str:
+    return """Assistant Reply: {
+    "thoughts": {
+        "text": "thoughts",
+        "reasoning": "reasoning",
+        "plan": "plan",
+        "criticism": "criticism",
+        "speak": "speak"
+    },
+    "command": {
+        "name": "google",
+        "args": {
+            "query": "google_query"
+        }
+    }
+}
+Result: None
+Human Feedback:Command Result: Important Information."""
+
+
+@requires_api_key("OPENAI_API_KEY")
+@pytest.mark.vcr
+def test_save_memory_trimmed_from_context_window(
+    message_history_fixture, expected_permanent_memory, config: Config
+):
+    next_message_to_add_index = len(message_history_fixture) - 1
+    memory = get_memory(config, init=True)
+    save_memory_trimmed_from_context_window(
+        message_history_fixture, next_message_to_add_index, memory
+    )
+
+    memory_found = memory.get_relevant("Important Information", 5)
+    assert memory_found[0] == expected_permanent_memory