refactor(summarization): state rework, move to wrap pattern (#210)

* refactor(summarization): state rework, move to wrap pattern

* cr

Author: hntrl

.changeset/summarization-wrap-model-call.md

@@ -0,0 +1,7 @@
+---
+"deepagents": patch
+---
+
+refactor(summarization): state rework, move to wrap pattern
+
+Refactors `createSummarizationMiddleware` to use the `wrapModelCall` hook instead of `beforeModel`. Instead of rewriting LangGraph state with `RemoveMessage(REMOVE_ALL_MESSAGES)` on each summarization, the middleware now tracks a `SummarizationEvent` in private state and reconstructs the effective message list on each call, avoiding full state rewrites. Supports chained summarizations with correct cutoff index progression.

libs/deepagents/package.json

@@ -38,10 +38,10 @@
   },
   "homepage": "https://github.com/langchain-ai/deepagentsjs#readme",
   "dependencies": {
-    "@langchain/core": "^1.1.19",
-    "@langchain/langgraph": "^1.1.3",
+    "@langchain/core": "^1.1.21",
+    "@langchain/langgraph": "^1.1.4",
     "fast-glob": "^3.3.3",
-    "langchain": "^1.2.17",
+    "langchain": "^1.2.20",
     "micromatch": "^4.0.8",
     "yaml": "^2.8.2",
     "zod": "^4.3.6"

libs/deepagents/src/middleware/index.ts

@@ -45,6 +45,7 @@ export {
   // Backend-aware summarization middleware with history offloading
   createSummarizationMiddleware,
   type SummarizationMiddlewareOptions,
+  type SummarizationEvent,
   type ContextSize,
   type TruncateArgsSettings,
   // Re-export base summarization middleware from langchain for users who don't need backend offloading