feat: added new 'hint' wrappers that inject hints into the pre-prefix

memgpt/functions/function_sets/base.py

@@ -95,6 +95,12 @@ def conversation_search(self, query: str, page: Optional[int] = 0) -> Optional[s
     Returns:
         str: Query result string
     """
+    if page is None or (isinstance(page, str) and page.lower().strip() == "none"):
+        page = 0
+    try:
+        page = int(page)
+    except:
+        raise ValueError(f"'page' argument must be an integer")
     count = RETRIEVAL_QUERY_DEFAULT_PAGE_SIZE
     results, total = self.persistence_manager.recall_memory.text_search(query, count=count, start=page * count)
     num_pages = math.ceil(total / count) - 1  # 0 index
@@ -119,6 +125,12 @@ def conversation_search_date(self, start_date: str, end_date: str, page: Optiona
     Returns:
         str: Query result string
     """
+    if page is None or (isinstance(page, str) and page.lower().strip() == "none"):
+        page = 0
+    try:
+        page = int(page)
+    except:
+        raise ValueError(f"'page' argument must be an integer")
     count = RETRIEVAL_QUERY_DEFAULT_PAGE_SIZE
     results, total = self.persistence_manager.recall_memory.date_search(start_date, end_date, count=count, start=page * count)
     num_pages = math.ceil(total / count) - 1  # 0 index
@@ -156,6 +168,12 @@ def archival_memory_search(self, query: str, page: Optional[int] = 0) -> Optiona
     Returns:
         str: Query result string
     """
+    if page is None or (isinstance(page, str) and page.lower().strip() == "none"):
+        page = 0
+    try:
+        page = int(page)
+    except:
+        raise ValueError(f"'page' argument must be an integer")
     count = RETRIEVAL_QUERY_DEFAULT_PAGE_SIZE
     results, total = self.persistence_manager.archival_memory.search(query, count=count, start=page * count)
     num_pages = math.ceil(total / count) - 1  # 0 index

memgpt/local_llm/chat_completion_proxy.py

@@ -82,7 +82,8 @@ def get_chat_completion(
 
     # First step: turn the message sequence into a prompt that the model expects
     try:
-        if hasattr(llm_wrapper, "supports_first_message") and llm_wrapper.supports_first_message:
+        # if hasattr(llm_wrapper, "supports_first_message") and llm_wrapper.supports_first_message:
+        if hasattr(llm_wrapper, "supports_first_message"):
             prompt = llm_wrapper.chat_completion_to_prompt(messages, functions, first_message=first_message)
         else:
             prompt = llm_wrapper.chat_completion_to_prompt(messages, functions)

memgpt/local_llm/llm_chat_completion_wrappers/chatml.py

@@ -5,6 +5,26 @@
 from ...errors import LLMJSONParsingError
 
 
+PREFIX_HINT = """# Reminders:
+# Important information about yourself and the user is stored in (limited) core memory
+# You can modify core memory with core_memory_replace
+# You can add to core memory with core_memory_append
+# Less important information is stored in (unlimited) archival memory
+# You can add to archival memory with archival_memory_insert
+# You can search archival memory with archival_memory_search
+# You will always see the statistics of archival memory, so you know if there is content inside it
+# If you receive new important information about the user (or yourself), you immediately update your memory with core_memory_replace, core_memory_append, or archival_memory_insert"""
+
+FIRST_PREFIX_HINT = """# Reminders:
+# This is your first interaction with the user!
+# Initial information about them is provided in the core memory user block
+# Make sure to introduce yourself to them
+# Your inner thoughts should be private, interesting, and creative
+# Do NOT use inner thoughts to communicate with the user
+# Use send_message to communicate with the user"""
+# Don't forget to use send_message, otherwise the user won't see your message"""
+
+
 class ChatMLInnerMonologueWrapper(LLMChatCompletionWrapper):
     """ChatML-style prompt formatter, tested for use with https://huggingface.co/ehartford/dolphin-2.5-mixtral-8x7b#training"""
 
@@ -24,12 +44,15 @@ def __init__(
         allow_function_role=False,  # use function role for function replies?
         no_function_role_role="assistant",  # if no function role, which role to use?
         no_function_role_prefix="FUNCTION RETURN:\n",  # if no function role, what prefix to use?
+        # add a guiding hint
+        assistant_prefix_hint=False,
     ):
         self.simplify_json_content = simplify_json_content
         self.clean_func_args = clean_function_args
         self.include_assistant_prefix = include_assistant_prefix
         self.assistant_prefix_extra = assistant_prefix_extra
         self.assistant_prefix_extra_first_message = assistant_prefix_extra_first_message
+        self.assistant_prefix_hint = assistant_prefix_hint
 
         # role-based
         self.allow_custom_roles = allow_custom_roles
@@ -202,7 +225,9 @@ def chat_completion_to_prompt(self, messages, functions, first_message=False):
 
         if self.include_assistant_prefix:
             prompt += f"\n<|im_start|>assistant"
-            if first_message:
+            if self.assistant_prefix_hint:
+                prompt += f"\n{FIRST_PREFIX_HINT if first_message else PREFIX_HINT}"
+            if self.supports_first_message and first_message:
                 if self.assistant_prefix_extra_first_message:
                     prompt += self.assistant_prefix_extra_first_message
             else:
@@ -355,7 +380,9 @@ def output_to_chat_completion_response(self, raw_llm_output, first_message=False
         """
 
         # If we used a prefex to guide generation, we need to add it to the output as a preefix
-        assistant_prefix = self.assistant_prefix_extra_first_message if first_message else self.assistant_prefix_extra
+        assistant_prefix = (
+            self.assistant_prefix_extra_first_message if (self.supports_first_message and first_message) else self.assistant_prefix_extra
+        )
         if assistant_prefix and raw_llm_output[: len(assistant_prefix)] != assistant_prefix:
             raw_llm_output = assistant_prefix + raw_llm_output
 

memgpt/local_llm/settings/simple.py

@@ -17,7 +17,7 @@
         # '\n' +
         # '</s>',
         # '<|',
-        # '\n#',
+        "\n#",
         # "\n\n\n",
         # prevent chaining function calls / multi json objects / run-on generations
         # NOTE: this requires the ability to patch the extra '}}' back into the prompt

memgpt/local_llm/utils.py

@@ -50,6 +50,9 @@ def get_available_wrappers() -> dict:
         # New chatml-based wrappers
         "chatml": chatml.ChatMLInnerMonologueWrapper(),
         "chatml-noforce": chatml.ChatMLOuterInnerMonologueWrapper(),
+        # With extra hints
+        "chatml-hints": chatml.ChatMLInnerMonologueWrapper(assistant_prefix_hint=True),
+        "chatml-noforce-hints": chatml.ChatMLOuterInnerMonologueWrapper(assistant_prefix_hint=True),
         # Legacy wrappers
         "airoboros-l2-70b-2.1": airoboros.Airoboros21InnerMonologueWrapper(),
         "airoboros-l2-70b-2.1-grammar": airoboros.Airoboros21InnerMonologueWrapper(assistant_prefix_extra=None),