feat: Get in-context Message.id values from server

memgpt/memory.py

@@ -307,13 +307,20 @@ def __init__(self, agent_state, restrict_search_to_summaries=False):
         # TODO: have some mechanism for cleanup otherwise will lead to OOM
         self.cache = {}
 
+    def get_all(self, start=0, count=None):
+        results = self.storage.get_all(start, count)
+        results_json = [message.to_openai_dict() for message in results]
+        return results_json, len(results)
+
     def text_search(self, query_string, count=None, start=None):
         results = self.storage.query_text(query_string, count, start)
-        return results, len(results)
+        results_json = [message.to_openai_dict() for message in results]
+        return results_json, len(results)
 
     def date_search(self, start_date, end_date, count=None, start=None):
         results = self.storage.query_date(start_date, end_date, count, start)
-        return results, len(results)
+        results_json = [message.to_openai_dict() for message in results]
+        return results_json, len(results)
 
     def __repr__(self) -> str:
         total = self.storage.size()

memgpt/server/server.py

@@ -1,5 +1,5 @@
 from abc import abstractmethod
-from typing import Union, Callable, Optional, Tuple
+from typing import Union, Callable, Optional, Tuple, List
 import uuid
 import json
 import logging
@@ -35,6 +35,21 @@
     Message,
     ToolCall,
 )
+from memgpt.data_types import (
+    Source,
+    Passage,
+    Document,
+    User,
+    AgentState,
+    LLMConfig,
+    EmbeddingConfig,
+    Message,
+    ToolCall,
+    LLMConfig,
+    EmbeddingConfig,
+    Message,
+    ToolCall,
+)
 
 # TODO use custom interface
 from memgpt.interface import CLIInterface  # for printing to terminal
@@ -677,6 +692,12 @@ def get_agent_memory(self, user_id: uuid.UUID, agent_id: uuid.UUID) -> dict:
 
         return memory_obj
 
+    def get_in_context_message_ids(self, user_id: uuid.UUID, agent_id: uuid.UUID) -> List[uuid.UUID]:
+        """Get the message ids of the in-context messages in the agent's memory"""
+        # Get the agent object (loaded in memory)
+        memgpt_agent = self._get_or_load_agent(user_id=user_id, agent_id=agent_id)
+        return [m.id for m in memgpt_agent._messages]
+
     def get_agent_messages(self, user_id: uuid.UUID, agent_id: uuid.UUID, start: int, count: int) -> list:
         """Paginated query of all messages in agent message queue"""
         if self.ms.get_user(user_id=user_id) is None:

tests/test_server.py

@@ -114,6 +114,14 @@ def test_server():
     cursor4, messages_4 = server.get_agent_recall_cursor(user_id=user.id, agent_id=agent_state.id, reverse=True, before=cursor1)
     assert len(messages_4) == 1
 
+    # test in-context message ids
+    in_context_ids = server.get_in_context_message_ids(user_id=user.id, agent_id=agent_state.id)
+    assert len(in_context_ids) == len(messages_3)
+    assert isinstance(in_context_ids[0], uuid.UUID)
+    message_ids = [m["id"] for m in messages_3]
+    for message_id in message_ids:
+        assert message_id in in_context_ids, f"{message_id} not in {in_context_ids}"
+
     # test archival memory cursor pagination
     cursor1, passages_1 = server.get_agent_archival_cursor(
         user_id=user.id, agent_id=agent_state.id, reverse=False, limit=2, order_by="text"