docs: expose conversation history how-to (#859)

docs/_scripts/copy_notebooks.py

@@ -24,6 +24,7 @@
         "streaming-events-from-within-tools.ipynb",
         "streaming-from-final-node.ipynb",
         "persistence.ipynb",
+        "managing-conversation-history.ipynb",
         "persistence_postgres.ipynb",
         "visualization.ipynb",
         "state-model.ipynb",
@@ -85,7 +86,6 @@
         "quickstart.ipynb",
         "human-in-the-loop.ipynb",
         "learning.ipynb",
-        "managing-conversation-history.ipynb",
         "docs/quickstart.ipynb",
         "tutorials/rag-agent-testing.ipynb",
         "state-context-key.ipynb",

docs/docs/how-tos/index.md

@@ -22,6 +22,7 @@ These how-to guides show how to achieve that controllability.
 LangGraph makes it easy to persist state across graph runs. The guide below shows how to add persistence to your graph.
 
 - [How to add persistence ("memory") to your graph](persistence.ipynb)
+- [How to manage conversation history](managing-conversation-history.ipynb)
 - [How to create a custom checkpointer using Postgres](persistence_postgres.ipynb)
 
 ## Human in the Loop

docs/mkdocs.yml

@@ -132,6 +132,7 @@ nav:
           - Create map-reduce branches for parallel execution: how-tos/map-reduce.ipynb
       - Persistence:
           - Add persistence ("memory"): how-tos/persistence.ipynb
+          - Manage conversation history: how-tos/managing-conversation-history.ipynb
           - Create custom checkpointer using Postgres: how-tos/persistence_postgres.ipynb
       - Human-in-the-loop:
           - Add breakpoints: how-tos/human_in_the_loop/breakpoints.ipynb