Merge branch 'main' into cherry-pick-storage-refactor

configs/memgpt_hosted.json

@@ -1,5 +1,5 @@
 {
-    "context_window": 32768,
+    "context_window": 16384,
     "model": "ehartford/dolphin-2.5-mixtral-8x7b",
     "model_endpoint_type": "vllm",
     "model_endpoint": "https://api.memgpt.ai",

docs/python_client.md

@@ -21,7 +21,7 @@ client = MemGPT(
 agent_id = client.create_agent(
     agent_config={
       "persona": "sam_pov",
-      "user": "cs_phd",
+      "human": "cs_phd",
     }
 )
 
@@ -81,7 +81,7 @@ def send_message(message: str):
         # Can also handle other types "function_call", "function_return", "function_message"
         if "assistant_message" in r:
             print("ASSISTANT:", r["assistant_message"])
-        elif "thoughts" in r:
+        elif "internal_monologue" in r:
             print("THOUGHTS:", r["internal_monologue"])
 
 # Send a message and see the response

memgpt/__init__.py

@@ -1,3 +1,3 @@
-__version__ = "0.2.10"
+__version__ = "0.2.11"
 
 from memgpt.client.client import Client as MemGPT

memgpt/autogen/examples/memgpt_coder_autogen.ipynb

@@ -86,6 +86,7 @@
         "        \"model_endpoint_type\": \"openai\",\n",
         "        \"model_endpoint\": \"https://api.openai.com/v1\",\n",
         "        \"context_window\": 8192,  # gpt-4 context window\n",
+        "        \"openai_key\": OPENAI_API_KEY,\n",
         "    },\n",
         "]\n",
         "llm_config_memgpt = {\"config_list\": config_list_memgpt, \"seed\": 42}"

memgpt/client/client.py

@@ -83,7 +83,7 @@ class Client(object):
             return self.server.create_agent(user_id=self.user_id, agent_config=agent_config, persistence_manager=persistence_manager)
 
         if throw_if_exists:
-            raise ValueError(f"Agent {agent_config.name} already exists")
+            raise ValueError(f"Agent {agent_name} already exists")
 
         return agent_name
 

memgpt/configs/memgpt_hosted.json

@@ -1,5 +1,5 @@
 {
-    "context_window": 32768,
+    "context_window": 16384,
     "model": "ehartford/dolphin-2.5-mixtral-8x7b",
     "model_endpoint_type": "vllm",
     "model_endpoint": "https://api.memgpt.ai",

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "pymemgpt"
-version = "0.2.10"
+version = "0.2.11"
 packages = [
     {include = "memgpt"}
 ]