Rename session manager classes to message history

README.md

@@ -264,20 +264,20 @@ print(response[0]["response"])
 
 > Learn more about [semantic caching]((https://docs.redisvl.com/en/stable/user_guide/03_llmcache.html)) for LLMs.
 
-### LLM Session Management
+### LLM Memory History
 
-Improve personalization and accuracy of LLM responses by providing user chat history as context. Manage access to the session data using recency or relevancy, *powered by vector search* with the [`SemanticSessionManager`](https://docs.redisvl.com/en/stable/api/session_manager.html).
+Improve personalization and accuracy of LLM responses by providing user message history as context. Manage access to message history data using recency or relevancy, *powered by vector search* with the [`MessageHistory`](https://docs.redisvl.com/en/stable/api/message_history.html).
 
 ```python
-from redisvl.extensions.session_manager import SemanticSessionManager
+from redisvl.extensions.message_history import SemanticMessageHistory
 
-session = SemanticSessionManager(
+history = SemanticMessageHistory(
     name="my-session",
     redis_url="redis://localhost:6379",
     distance_threshold=0.7
 )
 
-session.add_messages([
+history.add_messages([
     {"role": "user", "content": "hello, how are you?"},
     {"role": "assistant", "content": "I'm doing fine, thanks."},
     {"role": "user", "content": "what is the weather going to be today?"},
@@ -286,19 +286,19 @@ session.add_messages([
 ```
 Get recent chat history:
 ```python
-session.get_recent(top_k=1)
+history.get_recent(top_k=1)
 ```
 ```stdout
 >>> [{"role": "assistant", "content": "I don't know"}]
 ```
 Get relevant chat history (powered by vector search):
 ```python
-session.get_relevant("weather", top_k=1)
+history.get_relevant("weather", top_k=1)
 ```
 ```stdout
 >>> [{"role": "user", "content": "what is the weather going to be today?"}]
 ```
-> Learn more about [LLM session management]((https://docs.redisvl.com/en/stable/user_guide/07_session_manager.html)).
+> Learn more about [LLM message history]((https://docs.redisvl.com/en/stable/user_guide/07_message_history.html)).
 
 
 ### LLM Semantic Routing

docs/api/index.md

@@ -20,7 +20,7 @@ filter
 vectorizer
 reranker
 cache
-session_manager
+message_history
 router
 threshold_optimizer
 ```

docs/user_guide/07_session_manager.ipynb → docs/user_guide/07_message_history.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# LLM Session Memory"
+    "# LLM Message History"
    ]
   },
   {
@@ -15,7 +15,7 @@
     "\n",
     "The solution to this problem is to append the previous conversation history to each subsequent call to the LLM.\n",
     "\n",
-    "This notebook will show how to use Redis to structure and store and retrieve this conversational session memory."
+    "This notebook will show how to use Redis to structure and store and retrieve this conversational message history."
    ]
   },
   {
@@ -32,8 +32,8 @@
     }
    ],
    "source": [
-    "from redisvl.extensions.session_manager import StandardSessionManager\n",
-    "chat_session = StandardSessionManager(name='student tutor')"
+    "from redisvl.extensions.message_history import MessageHistory\n",
+    "chat_history = MessageHistory(name='student tutor')"
    ]
   },
   {
@@ -52,8 +52,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "chat_session.add_message({\"role\":\"system\", \"content\":\"You are a helpful geography tutor, giving simple and short answers to questions about Europen countries.\"})\n",
-    "chat_session.add_messages([\n",
+    "chat_history.add_message({\"role\":\"system\", \"content\":\"You are a helpful geography tutor, giving simple and short answers to questions about European countries.\"})\n",
+    "chat_history.add_messages([\n",
     "    {\"role\":\"user\", \"content\":\"What is the capital of France?\"},\n",
     "    {\"role\":\"llm\", \"content\":\"The capital is Paris.\"},\n",
     "    {\"role\":\"user\", \"content\":\"And what is the capital of Spain?\"},\n",
@@ -88,7 +88,7 @@
     }
    ],
    "source": [
-    "context = chat_session.get_recent()\n",
+    "context = chat_history.get_recent()\n",
     "for message in context:\n",
     "    print(message)"
    ]
@@ -97,7 +97,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In many LLM flows the conversation progresses in a series of prompt and response pairs. session managers offer a convienience function `store()` to add these simply."
+    "In many LLM flows the conversation progresses in a series of prompt and response pairs. Message history offer a convenience function `store()` to add these simply."
    ]
   },
   {
@@ -121,9 +121,9 @@
    "source": [
     "prompt = \"what is the size of England compared to Portugal?\"\n",
     "response = \"England is larger in land area than Portal by about 15000 square miles.\"\n",
-    "chat_session.store(prompt, response)\n",
+    "chat_history.store(prompt, response)\n",
     "\n",
-    "context = chat_session.get_recent(top_k=6)\n",
+    "context = chat_history.get_recent(top_k=6)\n",
     "for message in context:\n",
     "    print(message)"
    ]
@@ -160,33 +160,33 @@
     }
    ],
    "source": [
-    "chat_session.add_message({\"role\":\"system\", \"content\":\"You are a helpful algebra tutor, giving simple answers to math problems.\"}, session_tag='student two')\n",
-    "chat_session.add_messages([\n",
+    "chat_history.add_message({\"role\":\"system\", \"content\":\"You are a helpful algebra tutor, giving simple answers to math problems.\"}, session_tag='student two')\n",
+    "chat_history.add_messages([\n",
     "    {\"role\":\"user\", \"content\":\"What is the value of x in the equation 2x + 3 = 7?\"},\n",
     "    {\"role\":\"llm\", \"content\":\"The value of x is 2.\"},\n",
     "    {\"role\":\"user\", \"content\":\"What is the value of y in the equation 3y - 5 = 7?\"},\n",
     "    {\"role\":\"llm\", \"content\":\"The value of y is 4.\"}],\n",
     "    session_tag='student two'\n",
     "    )\n",
     "\n",
-    "for math_message in chat_session.get_recent(session_tag='student two'):\n",
+    "for math_message in chat_history.get_recent(session_tag='student two'):\n",
     "    print(math_message)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Semantic conversation memory\n",
+    "## Semantic message history\n",
     "For longer conversations our list of messages keeps growing. Since LLMs are stateless we have to continue to pass this conversation history on each subsequent call to ensure the LLM has the correct context.\n",
     "\n",
     "A typical flow looks like this:\n",
     "```\n",
     "while True:\n",
     "    prompt = input('enter your next question')\n",
-    "    context = chat_session.get_recent()\n",
+    "    context = chat_history.get_recent()\n",
     "    response = LLM_api_call(prompt=prompt, context=context)\n",
-    "    chat_session.store(prompt, response)\n",
+    "    chat_history.store(prompt, response)\n",
     "```\n",
     "\n",
     "This works, but as context keeps growing so too does our LLM token count, which increases latency and cost.\n",
@@ -195,12 +195,12 @@
     "\n",
     "A better solution is to pass only the relevant conversational context on each subsequent call.\n",
     "\n",
-    "For this, RedisVL has the `SemanticSessionManager`, which uses vector similarity search to return only semantically relevant sections of the conversation."
+    "For this, RedisVL has the `SemanticMessageHistory`, which uses vector similarity search to return only semantically relevant sections of the conversation."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -212,10 +212,10 @@
     }
    ],
    "source": [
-    "from redisvl.extensions.session_manager import SemanticSessionManager\n",
-    "semantic_session = SemanticSessionManager(name='tutor')\n",
+    "from redisvl.extensions.message_history import SemanticMessageHistory\n",
+    "semantic_history = SemanticMessageHistory(name='tutor')\n",
     "\n",
-    "semantic_session.add_messages(chat_session.get_recent(top_k=8))"
+    "semantic_history.add_messages(chat_history.get_recent(top_k=8))"
    ]
   },
   {
@@ -234,8 +234,8 @@
    ],
    "source": [
     "prompt = \"what have I learned about the size of England?\"\n",
-    "semantic_session.set_distance_threshold(0.35)\n",
-    "context = semantic_session.get_relevant(prompt)\n",
+    "semantic_history.set_distance_threshold(0.35)\n",
+    "context = semantic_history.get_relevant(prompt)\n",
     "for message in context:\n",
     "    print(message)"
    ]
@@ -266,9 +266,9 @@
     }
    ],
    "source": [
-    "semantic_session.set_distance_threshold(0.7)\n",
+    "semantic_history.set_distance_threshold(0.7)\n",
     "\n",
-    "larger_context = semantic_session.get_relevant(prompt)\n",
+    "larger_context = semantic_history.get_relevant(prompt)\n",
     "for message in larger_context:\n",
     "    print(message)"
    ]
@@ -300,17 +300,17 @@
     }
    ],
    "source": [
-    "semantic_session.store(\n",
+    "semantic_history.store(\n",
     "    prompt=\"what is the smallest country in Europe?\",\n",
     "    response=\"Monaco is the smallest country in Europe at 0.78 square miles.\" # Incorrect. Vatican City is the smallest country in Europe\n",
     "    )\n",
     "\n",
     "# get the key of the incorrect message\n",
-    "context = semantic_session.get_recent(top_k=1, raw=True)\n",
+    "context = semantic_history.get_recent(top_k=1, raw=True)\n",
     "bad_key = context[0]['entry_id']\n",
-    "semantic_session.drop(bad_key)\n",
+    "semantic_history.drop(bad_key)\n",
     "\n",
-    "corrected_context = semantic_session.get_recent()\n",
+    "corrected_context = semantic_history.get_recent()\n",
     "for message in corrected_context:\n",
     "    print(message)"
    ]
@@ -321,7 +321,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "chat_session.clear()"
+    "chat_history.clear()\n",
+    "semantic_history.clear()"
    ]
   }
  ],

docs/user_guide/index.md

@@ -19,7 +19,7 @@ User guides provide helpful resources for using RedisVL and its different compon
 04_vectorizers
 05_hash_vs_json
 06_rerankers
-07_session_manager
+07_message_history
 08_semantic_router
 09_threshold_optimization
 release_guide/index

redisvl/extensions/constants.py

@@ -1,19 +1,19 @@
 """
-Constants used within the extension classes SemanticCache, BaseSessionManager,
-StandardSessionManager,SemanticSessionManager and SemanticRouter.
+Constants used within the extension classes SemanticCache, BaseMessageHistory,
+MessageHistory, SemanticMessageHistory and SemanticRouter.
 These constants are also used within theses classes corresponding schema.
 """
 
-# BaseSessionManager
+# BaseMessageHistory
 ID_FIELD_NAME: str = "entry_id"
 ROLE_FIELD_NAME: str = "role"
 CONTENT_FIELD_NAME: str = "content"
 TOOL_FIELD_NAME: str = "tool_call_id"
 TIMESTAMP_FIELD_NAME: str = "timestamp"
 SESSION_FIELD_NAME: str = "session_tag"
 
-# SemanticSessionManager
-SESSION_VECTOR_FIELD_NAME: str = "vector_field"
+# SemanticMessageHistory
+MESSAGE_VECTOR_FIELD_NAME: str = "vector_field"
 
 # SemanticCache
 REDIS_KEY_FIELD_NAME: str = "key"

redisvl/extensions/message_history/__init__.py

@@ -0,0 +1,5 @@
+from redisvl.extensions.message_history.base_history import BaseMessageHistory
+from redisvl.extensions.message_history.message_history import MessageHistory
+from redisvl.extensions.message_history.semantic_history import SemanticMessageHistory
+
+__all__ = ["BaseMessageHistory", "MessageHistory", "SemanticMessageHistory"]