minimalistic tool registration

tool and model calls
adding model calls
2026-10-02 22:45:07 +02:00 · 2025-09-04 16:05:08 -04:00 · 2025-09-04 10:15:03 -04:00 · 2025-09-04 09:59:45 -04:00 · 2025-09-04 09:43:53 -04:00 · 2025-09-03 15:27:13 -04:00
71 changed files with 1812 additions and 5064 deletions
@@ -87,27 +87,3 @@ jobs:
        working-directory: libs/cli/js-examples
        run: |
          langgraph build -t langgraph-test-e
-
-      - name: Build JS monorepo service
-        if: steps.changed-files.outputs.all
-        working-directory: libs/cli/js-monorepo-example
-        run: |
-          langgraph build -t langgraph-test-f -c apps/agent/langgraph.json --build-command "yarn run turbo build" --install-command "yarn install"
-
-      - name: Build Python monorepo service
-        if: steps.changed-files.outputs.all
-        working-directory: libs/cli/python-monorepo-example
-        run: |
-          langgraph build -t langgraph-test-g -c apps/agent/langgraph.json
-          cp apps/agent/.env.example apps/agent/.env
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> apps/agent/.env; fi
-          timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-g -c apps/agent/langgraph.json
-
-      - name: Build and test prerelease reqs service
-        if: steps.changed-files.outputs.all
-        working-directory: libs/cli/examples/graph_prerelease_reqs
-        run: |
-          langgraph build -t langgraph-test-h
-          cp ../.env.example .env
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
-          timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
@@ -99,8 +99,8 @@ Starting from the `LangGraph Platform` view...
 1. In the top-right corner, select the gear icon (`Deployment Settings`).
 1. Update the `Git Branch` to the desired branch.
 1. Check/uncheck checkbox to `Automatically update deployment on push to branch`.
-1. Branch creation/deletion and tag creation/deletion events will not trigger an update. Only pushes to an existing branch will trigger an update.
-1. Pushes in quick succession to a branch will queue subsequent updates. Once a build completes, the most recent commit will begin building and the other queued builds will be skipped.
+    1. Branch creation/deletion and tag creation/deletion events will not trigger an update. Only pushes to an existing branch will trigger an update.
+    1. Pushes in quick succession to a branch will not trigger subsequent updates. In the future, this functionality may be changed/improved.

 ## Add or Remove GitHub Repositories

@@ -29,10 +29,6 @@
      "name": "Store",
      "description": "Store is an API for managing persistent key-value store (long-term memory) that is available from any thread."
    },
-    {
-      "name": "A2A",
-      "description": "Agent-to-Agent Protocol related endpoints for exposing assistants as A2A-compliant agents."
-    },
    {
      "name": "MCP",
      "description": "Model Context Protocol related endpoints for exposing an agent as an MCP server."
@@ -1524,96 +1520,6 @@
        }
      }
    },
-    "/threads/{thread_id}/stream": {
-      "get": {
-        "tags": [
-          "Threads"
-        ],
-        "summary": "Join Thread Stream",
-        "description": "This endpoint streams output in real-time from a thread. The stream will include the output of each run executed sequentially on the thread and will remain open indefinitely. It is the responsibility of the calling client to close the connection.",
-        "operationId": "join_thread_stream_threads__thread_id__stream_get",
-        "parameters": [
-          {
-            "description": "The ID of the thread.",
-            "required": true,
-            "schema": {
-              "type": "string",
-              "format": "uuid",
-              "title": "Thread Id",
-              "description": "The ID of the thread."
-            },
-            "name": "thread_id",
-            "in": "path"
-          },
-          {
-            "required": false,
-            "schema": {
-              "type": "string",
-              "title": "Last Event ID",
-              "description": "The ID of the last event received. Used to resume streaming from a specific point. Pass '-' to resume from the beginning."
-            },
-            "name": "Last-Event-ID",
-            "in": "header"
-          },
-          {
-            "required": false,
-            "schema": {
-              "anyOf": [
-                {
-                  "type": "string",
-                  "enum": ["lifecycle", "run_modes", "state_update"]
-                },
-                {
-                  "type": "array",
-                  "items": {
-                    "type": "string",
-                    "enum": ["lifecycle", "run_modes", "state_update"]
-                  }
-                }
-              ],
-              "default": ["run_modes"],
-              "title": "Stream Modes",
-              "description": "Stream modes to control which events are returned. 'lifecycle' returns only run start/end events, 'run_modes' returns all run events (default behavior), 'state_update' returns only state update events."
-            },
-            "name": "stream_modes",
-            "in": "query"
-          }
-        ],
-        "responses": {
-          "200": {
-            "description": "Success",
-            "content": {
-              "text/event-stream": {
-                "schema": {
-                  "type": "string",
-                  "description": "The server will send a stream of events in SSE format.\n\n**Example event**:\n\nid: 1\n\nevent: message\n\ndata: {}"
-                }
-              }
-            }
-          },
-          "404": {
-            "description": "Not Found",
-            "content": {
-              "application/json": {
-                "schema": {
-                  "$ref": "#/components/schemas/ErrorResponse"
-                }
-              }
-            }
-          },
-          "422": {
-            "description": "Validation Error",
-            "content": {
-              "application/json": {
-                "schema": {
-                  "$ref": "#/components/schemas/ErrorResponse"
-                }
-              }
-            }
-          }
-        }
-      }
-    },
    "/threads/{thread_id}/runs": {
      "get": {
        "tags": [
@@ -3186,195 +3092,6 @@
        }
      }
    },
-    "/a2a/{assistant_id}": {
-      "post": {
-        "operationId": "post_a2a",
-        "summary": "A2A Post",
-        "description": "Communicate with an assistant using the Agent-to-Agent Protocol.\nSends a JSON-RPC 2.0 message to the assistant.\n\n- **Request**: Provide an object with `jsonrpc`, `id`, `method`, and optional `params`.\n- **Response**: Returns a JSON-RPC response with task information or error.\n\n**Supported Methods:**\n- `message/send`: Send a message to the assistant\n- `tasks/get`: Get the status and result of a task\n\n**Notes:**\n- Supports threaded conversations via thread context\n- Messages can contain text and data parts\n- Tasks run asynchronously and return completion status\n",
-        "parameters": [
-          {
-            "name": "assistant_id",
-            "in": "path",
-            "required": true,
-            "schema": {
-              "type": "string",
-              "format": "uuid"
-            },
-            "description": "The ID of the assistant to communicate with"
-          },
-          {
-            "name": "Accept",
-            "in": "header",
-            "required": true,
-            "schema": {
-              "type": "string",
-              "enum": ["application/json"]
-            },
-            "description": "Must be application/json"
-          }
-        ],
-        "requestBody": {
-          "required": true,
-          "content": {
-            "application/json": {
-              "schema": {
-                "type": "object",
-                "properties": {
-                  "jsonrpc": {
-                    "type": "string",
-                    "enum": ["2.0"],
-                    "description": "JSON-RPC version"
-                  },
-                  "id": {
-                    "type": "string",
-                    "description": "Request identifier"
-                  },
-                  "method": {
-                    "type": "string",
-                    "enum": ["message/send", "tasks/get"],
-                    "description": "The method to invoke"
-                  },
-                  "params": {
-                    "type": "object",
-                    "description": "Method parameters",
-                    "oneOf": [
-                      {
-                        "title": "Message Send Parameters",
-                        "properties": {
-                          "message": {
-                            "type": "object",
-                            "properties": {
-                              "role": {
-                                "type": "string",
-                                "enum": ["user", "assistant"],
-                                "description": "Message role"
-                              },
-                              "parts": {
-                                "type": "array",
-                                "items": {
-                                  "oneOf": [
-                                    {
-                                      "title": "Text Part",
-                                      "type": "object",
-                                      "properties": {
-                                        "kind": {
-                                          "type": "string",
-                                          "enum": ["text"]
-                                        },
-                                        "text": {
-                                          "type": "string"
-                                        }
-                                      },
-                                      "required": ["kind", "text"]
-                                    },
-                                    {
-                                      "title": "Data Part", 
-                                      "type": "object",
-                                      "properties": {
-                                        "kind": {
-                                          "type": "string",
-                                          "enum": ["data"]
-                                        },
-                                        "data": {
-                                          "type": "object"
-                                        }
-                                      },
-                                      "required": ["kind", "data"]
-                                    }
-                                  ]
-                                },
-                                "description": "Message parts"
-                              },
-                              "messageId": {
-                                "type": "string",
-                                "description": "Unique message identifier"
-                              }
-                            },
-                            "required": ["role", "parts", "messageId"]
-                          },
-                          "thread": {
-                            "type": "object",
-                            "properties": {
-                              "threadId": {
-                                "type": "string",
-                                "description": "Thread identifier for conversation context"
-                              }
-                            },
-                            "description": "Optional thread context"
-                          }
-                        },
-                        "required": ["message"]
-                      },
-                      {
-                        "title": "Task Get Parameters",
-                        "properties": {
-                          "taskId": {
-                            "type": "string",
-                            "description": "Task identifier to retrieve"
-                          }
-                        },
-                        "required": ["taskId"]
-                      }
-                    ]
-                  }
-                },
-                "required": ["jsonrpc", "id", "method"]
-              }
-            }
-          }
-        },
-        "responses": {
-          "200": {
-            "description": "JSON-RPC response",
-            "content": {
-              "application/json": {
-                "schema": {
-                  "type": "object",
-                  "properties": {
-                    "jsonrpc": {
-                      "type": "string",
-                      "enum": ["2.0"]
-                    },
-                    "id": {
-                      "type": "string"
-                    },
-                    "result": {
-                      "type": "object",
-                      "description": "Success result containing task information or task details"
-                    },
-                    "error": {
-                      "type": "object",
-                      "properties": {
-                        "code": {
-                          "type": "integer"
-                        },
-                        "message": {
-                          "type": "string"
-                        }
-                      },
-                      "description": "Error information if request failed"
-                    }
-                  },
-                  "required": ["jsonrpc", "id"]
-                }
-              }
-            }
-          },
-          "400": {
-            "description": "Bad request - invalid JSON-RPC or missing Accept header"
-          },
-          "404": {
-            "description": "Assistant not found"
-          },
-          "500": {
-            "description": "Internal server error"
-          }
-        },
-        "tags": [
-          "A2A"
-        ]
-      }
-    },
    "/mcp/": {
      "post": {
        "operationId": "post_mcp",
@@ -4629,17 +4346,6 @@
            "title": "Checkpoint During",
            "description": "Whether to checkpoint during the run.",
            "default": false
-          },
-          "durability": {
-            "type": "string",
-            "enum": [
-              "sync",
-              "async",
-              "exit"
-            ],
-            "title": "Durability",
-            "description": "Durability level for the run. Must be one of 'sync', 'async', or 'exit'.",
-            "default": "async"
          }
        },
        "type": "object",
@@ -4876,17 +4582,6 @@
            "title": "Checkpoint During",
            "description": "Whether to checkpoint during the run.",
            "default": false
-          },
-          "durability": {
-            "type": "string",
-            "enum": [
-              "sync",
-              "async",
-              "exit"
-            ],
-            "title": "Durability",
-            "description": "Durability level for the run. Must be one of 'sync', 'async', or 'exit'.",
-            "default": "async"
          }
        },
        "type": "object",
@@ -5015,12 +4710,6 @@
      },
      "ThreadSearchRequest": {
        "properties": {
-          "ids": {
-            "type": "array",
-            "items": {"type": "string", "format": "uuid"},
-            "title": "Ids",
-            "description": "List of thread IDs to include. Others are excluded."
-          },
          "metadata": {
            "type": "object",
            "title": "Metadata",
@@ -5261,30 +4950,11 @@
            "type": "object",
            "title": "Metadata",
            "description": "Metadata to merge with existing thread metadata."
-          },
-          "ttl": {
-            "type": "object",
-            "title": "TTL",
-            "description": "The time-to-live for the thread.",
-            "properties": {
-              "strategy": {
-                "type": "string",
-                "enum": [
-                  "delete"
-                ],
-                "description": "The TTL strategy. 'delete' removes the entire thread.",
-                "default": "delete"
-              },
-              "ttl": {
-                "type": "number",
-                "description": "The time-to-live in minutes from now until thread should be swept."
-              }
-            }
          }
        },
        "type": "object",
        "title": "ThreadPatch",
-        "description": "Payload for updating a thread."
+        "description": "Payload for creating a thread."
      },
      "ThreadStateCheckpointRequest": {
        "properties": {
@@ -483,19 +483,19 @@ The LangGraph CLI requires a JSON configuration file that follows this [schema](

    RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt langchain_community langchain_anthropic langchain_openai wikipedia scikit-learn

-    ADD ./graphs /deps/outer-graphs/src
+    ADD ./graphs /deps/__outer_graphs/src
    RUN set -ex && \
        for line in '[project]' \
                    'name = "graphs"' \
                    'version = "0.1"' \
                    '[tool.setuptools.package-data]' \
                    '"*" = ["**/*"]'; do \
-            echo "$line" >> /deps/outer-graphs/pyproject.toml; \
+            echo "$line" >> /deps/__outer_graphs/pyproject.toml; \
        done

    RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt -e /deps/*

-    ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-graphs/src/agent.py:graph", "storm": "/deps/outer-graphs/src/storm.py:graph"}'
+    ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_graphs/src/agent.py:graph", "storm": "/deps/__outer_graphs/src/storm.py:graph"}'
    ```

    ???+ note "Updating your langgraph.json file"
@@ -1040,7 +1040,7 @@ def node_a(state: State, runtime: Runtime[ContextSchema]):
    ...
 ```

-See [this guide](../how-tos/graph-api.md#add-runtime-configuration) for a full breakdown on configuration.
+See [this guide](../how-tos/graph-api.ipynb#add-runtime-configuration) for a full breakdown on configuration.
 :::

 :::js
@@ -1,95 +0,0 @@
-from collections.abc import Sequence
-from typing import Annotated, Literal, TypedDict
-
-from langchain.chat_models import init_chat_model
-from langchain_community.tools.tavily_search import TavilySearchResults
-from langchain_core.messages import BaseMessage
-from langchain_openai import ChatOpenAI
-from langgraph.graph import END, StateGraph, add_messages
-from langgraph.prebuilt import ToolNode
-
-tools = [TavilySearchResults(max_results=1)]
-
-model_anth = init_chat_model("claude-3-7-sonnet-20250219", model_provider="anthropic")
-model_oai = ChatOpenAI(temperature=0)
-
-model_anth = model_anth.bind_tools(tools)
-model_oai = model_oai.bind_tools(tools)
-
-
-class AgentState(TypedDict):
-    messages: Annotated[Sequence[BaseMessage], add_messages]
-
-
-# Define the function that determines whether to continue or not
-def should_continue(state):
-    messages = state["messages"]
-    last_message = messages[-1]
-    # If there are no tool calls, then we finish
-    if not last_message.tool_calls:
-        return "end"
-    # Otherwise if there is, we continue
-    else:
-        return "continue"
-
-
-# Define the function that calls the model
-def call_model(state, config):
-    if config["configurable"].get("model", "anthropic") == "anthropic":
-        model = model_anth
-    else:
-        model = model_oai
-    messages = state["messages"]
-    response = model.invoke(messages)
-    # We return a list, because this will get added to the existing list
-    return {"messages": [response]}
-
-
-# Define the function to execute tools
-tool_node = ToolNode(tools)
-
-
-class ContextSchema(TypedDict):
-    model: Literal["anthropic", "openai"]
-
-
-# Define a new graph
-workflow = StateGraph(AgentState, context_schema=ContextSchema)
-
-# Define the two nodes we will cycle between
-workflow.add_node("agent", call_model)
-workflow.add_node("action", tool_node)
-
-# Set the entrypoint as `agent`
-# This means that this node is the first one called
-workflow.set_entry_point("agent")
-
-# We now add a conditional edge
-workflow.add_conditional_edges(
-    # First, we define the start node. We use `agent`.
-    # This means these are the edges taken after the `agent` node is called.
-    "agent",
-    # Next, we pass in the function that will determine which node is called next.
-    should_continue,
-    # Finally we pass in a mapping.
-    # The keys are strings, and the values are other nodes.
-    # END is a special node marking that the graph should finish.
-    # What will happen is we will call `should_continue`, and then the output of that
-    # will be matched against the keys in this mapping.
-    # Based on which one it matches, that node will then be called.
-    {
-        # If `tools`, then we call the tool node.
-        "continue": "action",
-        # Otherwise we finish.
-        "end": END,
-    },
-)
-
-# We now add a normal edge from `tools` to `agent`.
-# This means that after `tools` is called, `agent` node is called next.
-workflow.add_edge("action", "agent")
-
-# Finally, we compile it!
-# This compiles it into a LangChain Runnable,
-# meaning you can use it as you would any other runnable
-graph = workflow.compile()
@@ -1,11 +0,0 @@
-{
-    "python_version": "3.12",
-    "dependencies": [
-      "."
-    ],
-    "graphs": {
-      "agent": "./agent.py:graph"
-    },
-    "env": "../.env"
-  }
-  
@@ -1,6 +0,0 @@
-requests
-langchain_anthropic
-langchain_openai
-langchain_community
-langchain
-langgraph==1.0.0a2
@@ -1,62 +0,0 @@
-module.exports = {
-  extends: [
-    "eslint:recommended",
-    "prettier",
-    "plugin:@typescript-eslint/recommended",
-  ],
-  parserOptions: {
-    ecmaVersion: 12,
-    parser: "@typescript-eslint/parser",
-    project: "./tsconfig.json",
-    sourceType: "module",
-  },
-  plugins: ["import", "@typescript-eslint", "no-instanceof"],
-  ignorePatterns: [
-    ".eslintrc.cjs",
-    "scripts",
-    "src/utils/lodash/*",
-    "node_modules",
-    "dist",
-    "dist-cjs",
-    "*.js",
-    "*.cjs",
-    "*.d.ts",
-  ],
-  rules: {
-    "no-process-env": 2,
-    "no-instanceof/no-instanceof": 2,
-    "@typescript-eslint/explicit-module-boundary-types": 0,
-    "@typescript-eslint/no-empty-function": 0,
-    "@typescript-eslint/no-shadow": 0,
-    "@typescript-eslint/no-empty-interface": 0,
-    "@typescript-eslint/no-use-before-define": ["error", "nofunc"],
-    "@typescript-eslint/no-unused-vars": ["warn", { args: "none" }],
-    "@typescript-eslint/no-floating-promises": "error",
-    "@typescript-eslint/no-misused-promises": "error",
-    camelcase: 0,
-    "class-methods-use-this": 0,
-    "import/extensions": [2, "ignorePackages"],
-    "import/no-extraneous-dependencies": [
-      "error",
-      { devDependencies: ["**/*.test.ts"] },
-    ],
-    "import/no-unresolved": 0,
-    "import/prefer-default-export": 0,
-    "keyword-spacing": "error",
-    "max-classes-per-file": 0,
-    "max-len": 0,
-    "no-await-in-loop": 0,
-    "no-bitwise": 0,
-    "no-console": 0,
-    "no-restricted-syntax": 0,
-    "no-shadow": 0,
-    "no-continue": 0,
-    "no-underscore-dangle": 0,
-    "no-use-before-define": 0,
-    "no-useless-constructor": 0,
-    "no-return-await": 0,
-    "consistent-return": 0,
-    "no-else-return": 0,
-    "new-cap": ["error", { properties: false, capIsNew: false }],
-  },
-};
@@ -1,7 +0,0 @@
-{
-  "node_version": "20",
-  "graphs": {
-    "agent": "./src/graph.ts:graph"
-  },
-  "env": "../../.env"
-}
@@ -1,18 +0,0 @@
-{
-  "name": "@js-monorepo-example/agent",
-  "version": "0.0.1",
-  "type": "module",
-  "main": "src/graph.ts",
-  "scripts": {
-    "build": "tsc",
-    "clean": "rm -rf dist"
-  },
-  "dependencies": {
-    "@js-monorepo-example/shared": "*",
-    "@langchain/core": "^0.3.2",
-    "@langchain/langgraph": "^0.2.5"
-  },
-  "devDependencies": {
-    "typescript": "^5.3.3"
-  }
-}
@@ -1,47 +0,0 @@
-/**
- * Simple LangGraph.js example for monorepo testing
- */
-import { StateGraph } from "@langchain/langgraph";
-import { RunnableConfig } from "@langchain/core/runnables";
-import { StateAnnotation } from "./state.js";
-import { getGreeting } from "@js-monorepo-example/shared";
-
-/**
- * Simple node that uses the shared library
- */
-const callModel = async (
-  state: typeof StateAnnotation.State,
-  _config: RunnableConfig,
-): Promise<typeof StateAnnotation.Update> => {
-  // Use functions from the shared library
-  const greeting = getGreeting();
-
-  return {
-    messages: [
-      {
-        role: "assistant",
-        content: `${greeting}`,
-      },
-    ],
-  };
-};
-
-/**
- * Simple routing function
- */
-export const route = (
-  state: typeof StateAnnotation.State,
-): "__end__" | "callModel" => {
-  if (state.messages.length > 0) {
-    return "__end__";
-  }
-  return "callModel";
-};
-
-// Create the graph
-const builder = new StateGraph(StateAnnotation)
-  .addNode("callModel", callModel)
-  .addEdge("__start__", "callModel")
-  .addConditionalEdges("callModel", route);
-
-export const graph = builder.compile();
@@ -1,15 +0,0 @@
-import { BaseMessage, BaseMessageLike } from "@langchain/core/messages";
-import { Annotation, messagesStateReducer } from "@langchain/langgraph";
-
-/**
- * Simple state annotation for the agent
- */
-export const StateAnnotation = Annotation.Root({
-  /**
-   * Messages track the primary execution state of the agent.
-   */
-  messages: Annotation<BaseMessage[], BaseMessageLike[]>({
-    reducer: messagesStateReducer,
-    default: () => [],
-  }),
-});
@@ -1,9 +0,0 @@
-{
-  "extends": "../../tsconfig.json",
-  "compilerOptions": {
-    "outDir": "./dist",
-    "rootDir": "./src"
-  },
-  "include": ["src/**/*"],
-  "exclude": ["node_modules", "dist"]
-}
@@ -1,14 +0,0 @@
-{
-  "name": "@js-monorepo-example/shared",
-  "version": "0.0.1",
-  "type": "module",
-  "main": "dist/index.js",
-  "types": "dist/index.d.ts",
-  "scripts": {
-    "build": "tsc",
-    "clean": "rm -rf dist"
-  },
-  "devDependencies": {
-    "typescript": "^5.3.3"
-  }
-}
@@ -1,6 +0,0 @@
-/**
- * Simple utility functions for monorepo testing
- */
-export function getGreeting(): string {
-  return "Hello from shared library!";
-}
@@ -1,9 +0,0 @@
-{
-  "extends": "../../tsconfig.json",
-  "compilerOptions": {
-    "outDir": "./dist",
-    "rootDir": "./src"
-  },
-  "include": ["src/**/*"],
-  "exclude": ["node_modules", "dist"]
-}
@@ -1,34 +0,0 @@
-{
-  "name": "js-monorepo-example",
-  "version": "0.0.1",
-  "packageManager": "yarn@1.22.22",
-  "description": "A simple monorepo example for LangGraph integration testing.",
-  "private": true,
-  "workspaces": [
-    "libs/*",
-    "apps/*"
-  ],
-  "type": "module",
-  "scripts": {
-    "build": "turbo build",
-    "clean": "turbo clean",
-    "test": "turbo test",
-    "format": "prettier --write .",
-    "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
-  },
-  "devDependencies": {
-    "turbo": "^2.5.0",
-    "typescript": "^5.3.3",
-    "@tsconfig/recommended": "^1.0.7",
-    "@eslint/eslintrc": "^3.1.0",
-    "@eslint/js": "^9.9.1",
-    "eslint": "^8.41.0",
-    "eslint-config-prettier": "^8.8.0",
-    "eslint-plugin-import": "^2.27.5",
-    "eslint-plugin-no-instanceof": "^1.0.1",
-    "eslint-plugin-prettier": "^4.2.1",
-    "@typescript-eslint/eslint-plugin": "^5.59.8",
-    "@typescript-eslint/parser": "^5.59.8",
-    "prettier": "^3.3.3"
-  }
-}
@@ -1,16 +0,0 @@
-{
-  "extends": "@tsconfig/recommended",
-  "compilerOptions": {
-    "target": "ES2022",
-    "module": "ESNext",
-    "moduleResolution": "node",
-    "allowSyntheticDefaultImports": true,
-    "esModuleInterop": true,
-    "skipLibCheck": true,
-    "strict": true,
-    "declaration": true,
-    "outDir": "./dist"
-  },
-  "include": ["apps/**/*", "libs/**/*"],
-  "exclude": ["node_modules", "dist"]
-}
@@ -1,15 +0,0 @@
-{
-  "$schema": "https://turbo.build/schema.json",
-  "tasks": {
-    "build": {
-      "dependsOn": ["^build"],
-      "outputs": ["dist/**"]
-    },
-    "clean": {
-      "dependsOn": ["^clean"]
-    },
-    "test": {
-      "dependsOn": ["^test"]
-    }
-  }
-}
@@ -1 +1 @@
-__version__ = "0.4.2"
+__version__ = "0.3.8"
@@ -303,8 +303,6 @@ def _build(
    pull: bool,
    tag: str,
    passthrough: Sequence[str] = (),
-    install_command: Optional[str] = None,
-    build_command: Optional[str] = None,
 ):
    # pull latest images
    if pull:
@@ -324,38 +322,22 @@ def _build(
        "-t",
        tag,
    ]
-    # determine build context: use current directory for JS projects, config parent for Python
-    is_js_project = config_json.get("node_version") and not config_json.get(
-        "python_version"
-    )
-    # build/install commands only apply to JS projects for now
-    # without install/build command, JS projects will follow the old behavior
-    if is_js_project and (build_command or install_command):
-        build_context = str(pathlib.Path.cwd())
-    else:
-        build_context = str(config.parent)
-
    # apply config
    stdin, additional_contexts = langgraph_cli.config.config_to_docker(
-        config,
-        config_json,
-        base_image,
-        api_version,
-        install_command,
-        build_command,
-        build_context,
+        config, config_json, base_image, api_version
    )
    # add additional_contexts
    if additional_contexts:
        for k, v in additional_contexts.items():
            args.extend(["--build-context", f"{k}={v}"])
+    # run docker build
    runner.run(
        subp_exec(
            "docker",
            "build",
            *args,
            *passthrough,
-            build_context,
+            str(config.parent),
            input=stdin,
            verbose=True,
        )
@@ -384,14 +366,6 @@ def _build(
    "\n    --base-image langchain/langgraph-server:0.2  # Pin to a minor version (Python)",
 )
@OPT_API_VERSION
-@click.option(
-    "--install-command",
-    help="Custom install command to run from the build context root. If not provided, auto-detects based on package manager files.",
-)
-@click.option(
-    "--build-command",
-    help="Custom build command to run from the langgraph.json directory. If not provided, uses default build process.",
-)
@click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
@cli.command(
    help="📦 Build LangGraph API server Docker image.",
@@ -407,8 +381,6 @@ def build(
    api_version: Optional[str],
    pull: bool,
    tag: str,
-    install_command: Optional[str],
-    build_command: Optional[str],
 ):
    with Runner() as runner, Progress(message="Pulling...") as set:
        if shutil.which("docker") is None:
@@ -425,8 +397,6 @@ def build(
            pull,
            tag,
            docker_build_args,
-            install_command,
-            build_command,
        )


@@ -357,8 +357,6 @@ class HttpConfig(TypedDict, total=False):

    You can include or exclude headers as configurable values to condition your
    agent's behavior or permissions on a request's headers."""
-    logging_headers: Optional[ConfigurableHeaderConfig]
-    """Optional. Defines which headers are excluded from logging."""


 class Config(TypedDict, total=False):
@@ -913,10 +911,10 @@ def _assemble_local_deps(config_path: pathlib.Path, config: Config) -> LocalDeps
                        "Rename the directory to use it as flat-layout package."
                    )
                check_reserved(resolved.name, local_dep)
-                container_path = f"/deps/outer-{resolved.name}/{resolved.name}"
+                container_path = f"/deps/__outer_{resolved.name}/{resolved.name}"
            else:
                # src layout
-                container_path = f"/deps/outer-{resolved.name}/src"
+                container_path = f"/deps/__outer_{resolved.name}/src"
                for file in files:
                    rfile = resolved / file
                    if (
@@ -1256,7 +1254,7 @@ def python_config_to_docker(
        else:
            pip_installer = "pip"
    if pip_installer == "uv":
-        install_cmd = "uv pip install --system --prerelease=allow"
+        install_cmd = "uv pip install --system"
    elif pip_installer == "pip":
        install_cmd = "pip install"
    else:
@@ -1286,7 +1284,7 @@ def python_config_to_docker(
    if local_deps.pip_reqs:
        pip_reqs_str = os.linesep.join(
            (
-                f"COPY --from=outer-{reqpath.name} requirements.txt {destpath}"
+                f"COPY --from=__outer_{reqpath.name} requirements.txt {destpath}"
                if reqpath.parent in local_deps.additional_contexts
                else f"ADD {reqpath.relative_to(config_path.parent)} {destpath}"
            )
@@ -1305,7 +1303,7 @@ def python_config_to_docker(
    faux_pkgs_str = f"{os.linesep}{os.linesep}".join(
        (
            f"""# -- Adding non-package dependency {fullpath.name} --
-COPY --from=outer-{fullpath.name} . {destpath}"""
+COPY --from=__outer_{fullpath.name} . {destpath}"""
            if fullpath in local_deps.additional_contexts
            else f"""# -- Adding non-package dependency {fullpath.name} --
 ADD {relpath} {destpath}"""
@@ -1320,7 +1318,7 @@ RUN set -ex && \\
                '[build-system]' \\
                'requires = ["setuptools>=61"]' \\
                'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-{fullpath.name}/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_{fullpath.name}/pyproject.toml; \\
    done
 # -- End of non-package dependency {fullpath.name} --"""
        for fullpath, (relpath, destpath) in local_deps.faux_pkgs.items()
@@ -1423,7 +1421,7 @@ ADD {relpath} /deps/{name}
        if p in local_deps.real_pkgs:
            name = local_deps.real_pkgs[p][1]
        elif p in local_deps.faux_pkgs:
-            name = f"outer-{p.name}"
+            name = f"__outer_{p.name}"
        else:
            raise RuntimeError(f"Unknown additional context: {p}")
        additional_contexts[name] = str(p)
@@ -1436,28 +1434,9 @@ def node_config_to_docker(
    config: Config,
    base_image: str,
    api_version: Optional[str] = None,
-    install_command: Optional[str] = None,
-    build_command: Optional[str] = None,
-    build_context: Optional[str] = None,
 ) -> tuple[str, dict[str, str]]:
-    # Calculate paths for monorepo support
-    if build_context:
-        relative_workdir = _calculate_relative_workdir(config_path, build_context)
-        container_name = pathlib.Path(build_context).name
-        if relative_workdir:
-            faux_path = f"/deps/{container_name}/{relative_workdir}"
-        else:
-            faux_path = f"/deps/{container_name}"
-    else:
-        # Backward compatibility: use the original behavior
-        faux_path = f"/deps/{config_path.parent.name}"
-
-    # Use custom install command or auto-detect
-    if install_command:
-        install_cmd = install_command
-    else:
-        install_cmd = _get_node_pm_install_cmd(config_path, config)
-
+    faux_path = f"/deps/{config_path.parent.name}"
+    install_cmd = _get_node_pm_install_cmd(config_path, config)
    image_str = docker_tag(config, base_image, api_version)

    env_vars: list[str] = []
@@ -1484,35 +1463,20 @@ def node_config_to_docker(

    env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")

-    # For monorepo support, we need to handle install and build commands differently
-    if build_context:
-        # Monorepo case: install from root, build from config directory
-        container_root = f"/deps/{pathlib.Path(build_context).name}"
-        install_step = f"RUN cd {container_root} && {install_cmd}"
-
-        if build_command:
-            build_step = f"RUN cd {faux_path} && {build_command}"
-        else:
-            build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
-    else:
-        # Original behavior: everything happens in the same directory
-        install_step = f"RUN cd {faux_path} && {install_cmd}"
-        build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
-
    docker_file_contents = [
        f"FROM {image_str}",
        "",
        os.linesep.join(config["dockerfile_lines"]),
        "",
-        f"ADD . {faux_path if not build_context else container_root}",
+        f"ADD . {faux_path}",
        "",
-        install_step,
+        f"RUN cd {faux_path} && {install_cmd}",
        "",
        os.linesep.join(env_vars),
        "",
        f"WORKDIR {faux_path}",
        "",
-        build_step,
+        'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts',
    ]

    return os.linesep.join(docker_file_contents), {}
@@ -1560,42 +1524,16 @@ def docker_tag(
    return f"{base_image}:{full_tag}"


-def _calculate_relative_workdir(config_path: pathlib.Path, build_context: str) -> str:
-    """Calculate the relative path from build context to langgraph.json directory."""
-    config_dir = config_path.parent.resolve()
-    build_context_path = pathlib.Path(build_context).resolve()
-
-    try:
-        relative_path = config_dir.relative_to(build_context_path)
-        return str(relative_path) if str(relative_path) != "." else ""
-    except ValueError as _:
-        raise ValueError(
-            f"Configuration file {config_path} is not under the build context {build_context}. "
-            f"Please run the command from a directory that contains your langgraph.json file, "
-        ) from None
-
-
 def config_to_docker(
    config_path: pathlib.Path,
    config: Config,
    base_image: Optional[str] = None,
    api_version: Optional[str] = None,
-    install_command: Optional[str] = None,
-    build_command: Optional[str] = None,
-    build_context: Optional[str] = None,
 ) -> tuple[str, dict[str, str]]:
    base_image = base_image or default_base_image(config)

    if config.get("node_version") and not config.get("python_version"):
-        return node_config_to_docker(
-            config_path,
-            config,
-            base_image,
-            api_version,
-            install_command,
-            build_command,
-            build_context,
-        )
+        return node_config_to_docker(config_path, config, base_image, api_version)

    return python_config_to_docker(config_path, config, base_image, api_version)

@@ -19,8 +19,8 @@ dependencies = [
 path = "langgraph_cli/__init__.py"
 [project.optional-dependencies]
 inmem = [
-    "langgraph-api>=0.3,<0.5.0 ; python_version >= '3.11'",
-    "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
+    "langgraph-api>=0.2.120,<0.4.0 ; python_version >= '3.11'",
+    "langgraph-runtime-inmem>=0.6.8 ; python_version >= '3.11'",
    "python-dotenv>=0.8.0",
 ]

@@ -1,7 +0,0 @@
-{
-  "dependencies": [".", "../../libs/shared", "../../libs/common"],
-  "graphs": {
-    "agent": "./src/agent/graph.py:graph"
-  },
-  "env": ".env"
-}
@@ -1,19 +0,0 @@
-[project]
-name = "agent"
-version = "0.0.1"
-description = "Agent for the Python monorepo"
-authors = [
-    { name = "Developer", email = "dev@example.com" },
-]
-license = { text = "MIT" }
-requires-python = ">=3.11,<4.0"
-
-[build-system]
-requires = ["setuptools>=73.0.0", "wheel"]
-build-backend = "setuptools.build_meta"
-
-[tool.setuptools]
-packages = ["agent"]
-
-[tool.setuptools.package-dir]
-"agent" = "src/agent"
@@ -1 +0,0 @@
-"""Agent package."""
@@ -1,40 +0,0 @@
-"""Simple LangGraph agent for monorepo testing."""
-
-from common import get_common_prefix
-from langchain_core.messages import AIMessage
-from langgraph.graph import END, START, StateGraph
-from shared import get_dummy_message
-
-from agent.state import State
-
-
-def call_model(state: State) -> dict:
-    """Simple node that uses the shared libraries."""
-    # Use functions from both shared packages
-    dummy_message = get_dummy_message()
-    prefix = get_common_prefix()
-
-    message = AIMessage(content=f"{prefix} Agent says: {dummy_message}")
-
-    return {"messages": [message]}
-
-
-def should_continue(state: State):
-    """Conditional edge - end after first message."""
-    messages = state["messages"]
-    if len(messages) > 0:
-        return END
-    return "call_model"
-
-
-# Build the graph
-workflow = StateGraph(State)
-
-# Add the node
-workflow.add_node("call_model", call_model)
-
-# Add edges
-workflow.add_edge(START, "call_model")
-workflow.add_conditional_edges("call_model", should_continue)
-
-graph = workflow.compile()
@@ -1,13 +0,0 @@
-"""State definition for the agent."""
-
-from collections.abc import Sequence
-from typing import Annotated, TypedDict
-
-from langchain_core.messages import BaseMessage
-from langgraph.graph.message import add_messages
-
-
-class State(TypedDict):
-    """The state of the agent."""
-
-    messages: Annotated[Sequence[BaseMessage], add_messages]
@@ -1,5 +0,0 @@
-"""Common helper functions package."""
-
-from .helpers import get_common_prefix
-
-__all__ = ["get_common_prefix"]
@@ -1,6 +0,0 @@
-"""Common helper functions."""
-
-
-def get_common_prefix() -> str:
-    """Get a common prefix for messages."""
-    return "[COMMON]"
@@ -1,20 +0,0 @@
-[project]
-name = "shared"
-version = "0.0.1"
-description = "Shared utilities for the Python monorepo"
-authors = [
-    { name = "Developer", email = "dev@example.com" },
-]
-license = { text = "MIT" }
-requires-python = ">=3.11,<4.0"
-dependencies = []
-
-[build-system]
-requires = ["setuptools>=73.0.0", "wheel"]
-build-backend = "setuptools.build_meta"
-
-[tool.setuptools]
-packages = ["shared"]
-
-[tool.setuptools.package-dir]
-"shared" = "src/shared"
@@ -1,5 +0,0 @@
-"""Shared utilities package."""
-
-from .utils import get_dummy_message
-
-__all__ = ["get_dummy_message"]
@@ -1,6 +0,0 @@
-"""Shared utility functions."""
-
-
-def get_dummy_message() -> str:
-    """Get a dummy message for testing."""
-    return "Hello from shared library!"
@@ -1,46 +0,0 @@
-[project]
-name = "python-monorepo-example"
-version = "0.0.1"
-description = "A Python monorepo example with LangGraph agents and shared packages"
-authors = [
-    { name = "Developer", email = "dev@example.com" },
-]
-license = { text = "MIT" }
-requires-python = ">=3.11,<4.0"
-dependencies = [
-    "langgraph>=0.6.0,<0.7.0",
-    "langchain-core>=0.2.14",
-]
-
-[tool.uv.workspace]
-members = ["apps/*", "libs/shared"]
-
-[tool.uv.sources]
-shared = { workspace = true }
-
-[project.optional-dependencies]
-dev = ["mypy>=1.11.1", "ruff>=0.6.1"]
-
-[build-system]
-requires = ["setuptools>=73.0.0", "wheel"]
-build-backend = "setuptools.build_meta"
-
-[tool.ruff]
-lint.select = [
-    "E",    # pycodestyle
-    "F",    # pyflakes
-    "I",    # isort
-    "D",    # pydocstyle
-    "UP",
-]
-lint.ignore = [
-    "D100",  # Missing docstring in public module
-    "D101",  # Missing docstring in public class
-    "D102",  # Missing docstring in public method
-    "D103",  # Missing docstring in public function
-    "D104",  # Missing docstring in public package
-    "D105",  # Missing docstring in magic method
-]
-
-[tool.ruff.lint.pydocstyle]
-convention = "google"
@@ -576,17 +576,6 @@
        "disable_threads": {
          "type": "boolean",
          "description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
-        },
-        "logging_headers": {
-          "anyOf": [
-            {
-              "$ref": "#/$defs/ConfigurableHeaderConfig"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "description": "Optional. Defines which headers are excluded from logging."
        }
      },
      "required": []
@@ -576,17 +576,6 @@
        "disable_threads": {
          "type": "boolean",
          "description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
-        },
-        "logging_headers": {
-          "anyOf": [
-            {
-              "$ref": "#/$defs/ConfigurableHeaderConfig"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "description": "Optional. Defines which headers are excluded from logging."
        }
      },
      "required": []
@@ -15,7 +15,7 @@ from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Versi
 from langgraph_cli.util import clean_empty_lines

 FORMATTED_CLEANUP_LINES = _get_pip_cleanup_lines(
-    install_cmd="uv pip install --system --prerelease=allow",
+    install_cmd="uv pip install --system",
    to_uninstall=("pip", "setuptools", "wheel"),
    pip_installer="uv",
 )
@@ -149,7 +149,7 @@ services:
                COPY --from=cli_1 . /deps/cli_1
                # -- End of local package ../../.. --
                # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
                # -- End of local dependencies install --
                ENV LANGSERVE_GRAPHS='{{"agent": "agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -570,7 +570,7 @@ def test_build_generate_proper_build_context():
                catch_exceptions=True,
            )

-        build_context_pattern = re.compile(r"--build-context\s+([\w-]+)=([^\s]+)")
+        build_context_pattern = re.compile(r"--build-context\s+(\w+)=([^\s]+)")

        build_contexts = re.findall(build_context_pattern, result.output)
        assert len(build_contexts) == 2, (
@@ -20,7 +20,7 @@ from langgraph_cli.config import (
 from langgraph_cli.util import clean_empty_lines

 FORMATTED_CLEANUP_LINES = _get_pip_cleanup_lines(
-    install_cmd="uv pip install --system --prerelease=allow",
+    install_cmd="uv pip install --system",
    to_uninstall=("pip", "setuptools", "wheel"),
    pip_installer="uv",
 )
@@ -421,14 +421,14 @@ def test_config_to_docker_simple():
    expected_docker_stdin = f"""\
 FROM langchain/langgraph-api:3.11
 # -- Installing local requirements --
-COPY --from=outer-requirements.txt requirements.txt /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -r /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt
+COPY --from=__outer_requirements.txt requirements.txt /deps/__outer_graphs_reqs_a/graphs_reqs_a/requirements.txt
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -r /deps/__outer_graphs_reqs_a/graphs_reqs_a/requirements.txt
 # -- End of local requirements install --
 # -- Adding local package ../../examples --
 COPY --from=examples . /deps/examples
 # -- End of local package ../../examples --
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/outer-unit_tests/unit_tests
+ADD . /deps/__outer_unit_tests/unit_tests
 RUN set -ex && \\
    for line in '[project]' \\
                'name = "unit_tests"' \\
@@ -438,11 +438,11 @@ RUN set -ex && \\
                '[build-system]' \\
                'requires = ["setuptools>=61"]' \\
                'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
    done
 # -- End of non-package dependency unit_tests --
 # -- Adding non-package dependency graphs_reqs_a --
-COPY --from=outer-graphs_reqs_a . /deps/outer-graphs_reqs_a/graphs_reqs_a
+COPY --from=__outer_graphs_reqs_a . /deps/__outer_graphs_reqs_a/graphs_reqs_a
 RUN set -ex && \\
    for line in '[project]' \\
                'name = "graphs_reqs_a"' \\
@@ -452,21 +452,21 @@ RUN set -ex && \\
                '[build-system]' \\
                'requires = ["setuptools>=61"]' \\
                'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-graphs_reqs_a/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_graphs_reqs_a/pyproject.toml; \\
    done
 # -- End of non-package dependency graphs_reqs_a --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
 ENV LANGGRAPH_HTTP='{{"app": "/deps/examples/my_app.py:app"}}'
-ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}
-WORKDIR /deps/outer-unit_tests/unit_tests\
+WORKDIR /deps/__outer_unit_tests/unit_tests\
 """
    assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin

    assert additional_contexts == {
-        "outer-graphs_reqs_a": str(
+        "__outer_graphs_reqs_a": str(
            (pathlib.Path(__file__).parent / "../../examples/graphs_reqs_a").resolve()
        ),
        "examples": str((pathlib.Path(__file__).parent / "../../examples").resolve()),
@@ -484,7 +484,7 @@ def test_config_to_docker_outside_path():
        """\
 FROM langchain/langgraph-api:3.11
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/outer-unit_tests/unit_tests
+ADD . /deps/__outer_unit_tests/unit_tests
 RUN set -ex && \\
    for line in '[project]' \\
                'name = "unit_tests"' \\
@@ -494,11 +494,11 @@ RUN set -ex && \\
                '[build-system]' \\
                'requires = ["setuptools>=61"]' \\
                'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
    done
 # -- End of non-package dependency unit_tests --
 # -- Adding non-package dependency tests --
-COPY --from=outer-tests . /deps/outer-tests/tests
+COPY --from=__outer_tests . /deps/__outer_tests/tests
 RUN set -ex && \\
    for line in '[project]' \\
                'name = "tests"' \\
@@ -508,22 +508,22 @@ RUN set -ex && \\
                '[build-system]' \\
                'requires = ["setuptools>=61"]' \\
                'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-tests/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_tests/pyproject.toml; \\
    done
 # -- End of non-package dependency tests --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
+ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}'
 """
        + FORMATTED_CLEANUP_LINES
        + """
-WORKDIR /deps/outer-unit_tests/unit_tests\
+WORKDIR /deps/__outer_unit_tests/unit_tests\
 """
    )
    assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
    assert additional_contexts == {
-        "outer-tests": str(pathlib.Path(__file__).parent.parent.absolute()),
+        "__outer_tests": str(pathlib.Path(__file__).parent.parent.absolute()),
    }


@@ -545,7 +545,7 @@ def test_config_to_docker_pipconfig():
 FROM langchain/langgraph-api:3.11
 ADD pipconfig.txt /pipconfig.txt
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/outer-unit_tests/unit_tests
+ADD . /deps/__outer_unit_tests/unit_tests
 RUN set -ex && \\
    for line in '[project]' \\
                'name = "unit_tests"' \\
@@ -555,17 +555,17 @@ RUN set -ex && \\
                '[build-system]' \\
                'requires = ["setuptools>=61"]' \\
                'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
    done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
-RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
+ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}'
 """
        + FORMATTED_CLEANUP_LINES
        + """
-WORKDIR /deps/outer-unit_tests/unit_tests\
+WORKDIR /deps/__outer_unit_tests/unit_tests\
 """
    )
    assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
@@ -607,7 +607,7 @@ def test_config_to_docker_local_deps():
    expected_docker_stdin = f"""\
 FROM langchain/langgraph-api-custom:3.11
 # -- Adding non-package dependency graphs --
-ADD ./graphs /deps/outer-graphs/src
+ADD ./graphs /deps/__outer_graphs/src
 RUN set -ex && \\
    for line in '[project]' \\
                'name = "graphs"' \\
@@ -617,13 +617,13 @@ RUN set -ex && \\
                '[build-system]' \\
                'requires = ["setuptools>=61"]' \\
                'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-graphs/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_graphs/pyproject.toml; \\
    done
 # -- End of non-package dependency graphs --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_graphs/src/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}\
 """
    assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
@@ -657,7 +657,7 @@ dependencies = ["langchain"]"""
 ADD . /deps/unit_tests
 # -- End of local package . --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{"agent": "/deps/unit_tests/graphs/agent.py:graph"}'
 """
@@ -689,9 +689,9 @@ def test_config_to_docker_end_to_end():
 ARG meow
 ARG foo
 ADD pipconfig.txt /pipconfig.txt
-RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt langchain langchain_openai
+RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt langchain langchain_openai
 # -- Adding non-package dependency graphs --
-ADD ./graphs/ /deps/outer-graphs/src
+ADD ./graphs/ /deps/__outer_graphs/src
 RUN set -ex && \\
    for line in '[project]' \\
                'name = "graphs"' \\
@@ -701,13 +701,13 @@ RUN set -ex && \\
                '[build-system]' \\
                'requires = ["setuptools>=61"]' \\
                'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-graphs/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_graphs/pyproject.toml; \\
    done
 # -- End of non-package dependency graphs --
 # -- Installing all local dependencies --
-RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_graphs/src/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}"""
    assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
    assert additional_contexts == {}
@@ -797,7 +797,7 @@ def test_config_to_docker_gen_ui_python():
    expected_docker_stdin = f"""FROM langchain/langgraph-api:3.11
 RUN /storage/install-node.sh
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/outer-unit_tests/unit_tests
+ADD . /deps/__outer_unit_tests/unit_tests
 RUN set -ex && \\
    for line in '[project]' \\
                'name = "unit_tests"' \\
@@ -807,21 +807,21 @@ RUN set -ex && \\
                '[build-system]' \\
                'requires = ["setuptools>=61"]' \\
                'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
    done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
 ENV LANGGRAPH_UI='{{"agent": "./graphs/agent.ui.jsx"}}'
 ENV LANGGRAPH_UI_CONFIG='{{"shared": ["nuqs"]}}'
-ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 # -- Installing JS dependencies --
 ENV NODE_VERSION=20
-RUN cd /deps/outer-unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
+RUN cd /deps/__outer_unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
 # -- End of JS dependencies install --
 {FORMATTED_CLEANUP_LINES}
-WORKDIR /deps/outer-unit_tests/unit_tests"""
+WORKDIR /deps/__outer_unit_tests/unit_tests"""

    assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
    assert additional_contexts == {}
@@ -843,7 +843,7 @@ def test_config_to_docker_multiplatform():
    expected_docker_stdin = f"""FROM langchain/langgraph-api:3.11
 RUN /storage/install-node.sh
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/outer-unit_tests/unit_tests
+ADD . /deps/__outer_unit_tests/unit_tests
 RUN set -ex && \\
    for line in '[project]' \\
                'name = "unit_tests"' \\
@@ -853,19 +853,19 @@ RUN set -ex && \\
                '[build-system]' \\
                'requires = ["setuptools>=61"]' \\
                'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
    done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{{"python": "/deps/outer-unit_tests/unit_tests/multiplatform/python.py:graph", "js": "/deps/outer-unit_tests/unit_tests/multiplatform/js.mts:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"python": "/deps/__outer_unit_tests/unit_tests/multiplatform/python.py:graph", "js": "/deps/__outer_unit_tests/unit_tests/multiplatform/js.mts:graph"}}'
 # -- Installing JS dependencies --
 ENV NODE_VERSION=22
-RUN cd /deps/outer-unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
+RUN cd /deps/__outer_unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
 # -- End of JS dependencies install --
 {FORMATTED_CLEANUP_LINES}
-WORKDIR /deps/outer-unit_tests/unit_tests"""
+WORKDIR /deps/__outer_unit_tests/unit_tests"""

    assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
    assert additional_contexts == {}
@@ -887,7 +887,7 @@ def test_config_to_docker_pip_installer():
    docker_auto, _ = config_to_docker(
        PATH_TO_CONFIG, config_auto, "langchain/langgraph-api:0.2.47"
    )
-    assert "uv pip install --system --prerelease=allow" in docker_auto
+    assert "uv pip install --system" in docker_auto
    assert "rm /usr/bin/uv /usr/bin/uvx" in docker_auto

    # Test explicit pip setting
@@ -895,7 +895,7 @@ def test_config_to_docker_pip_installer():
    docker_pip, _ = config_to_docker(
        PATH_TO_CONFIG, config_pip, "langchain/langgraph-api:0.2.47"
    )
-    assert "uv pip install --system --prerelease=allow" not in docker_pip
+    assert "uv pip install --system" not in docker_pip
    assert "pip install" in docker_pip
    assert "rm /usr/bin/uv" not in docker_pip

@@ -904,7 +904,7 @@ def test_config_to_docker_pip_installer():
    docker_uv, _ = config_to_docker(
        PATH_TO_CONFIG, config_uv, "langchain/langgraph-api:0.2.47"
    )
-    assert "uv pip install --system --prerelease=allow" in docker_uv
+    assert "uv pip install --system" in docker_uv
    assert "rm /usr/bin/uv /usr/bin/uvx" in docker_uv

    # Test auto behavior with older image (should use pip)
@@ -914,7 +914,7 @@ def test_config_to_docker_pip_installer():
    docker_auto_old, _ = config_to_docker(
        PATH_TO_CONFIG, config_auto_old, "langchain/langgraph-api:0.2.46"
    )
-    assert "uv pip install --system --prerelease=allow" not in docker_auto_old
+    assert "uv pip install --system" not in docker_auto_old
    assert "pip install" in docker_auto_old
    assert "rm /usr/bin/uv" not in docker_auto_old

@@ -923,7 +923,7 @@ def test_config_to_docker_pip_installer():
    docker_default, _ = config_to_docker(
        PATH_TO_CONFIG, config_default, "langchain/langgraph-api:0.2.47"
    )
-    assert "uv pip install --system --prerelease=allow" in docker_default
+    assert "uv pip install --system" in docker_default


 def test_config_retain_build_tools():
@@ -984,7 +984,7 @@ def test_config_to_compose_simple_config():
            dockerfile_inline: |
                FROM langchain/langgraph-api:3.11
                # -- Adding non-package dependency unit_tests --
-                ADD . /deps/outer-unit_tests/unit_tests
+                ADD . /deps/__outer_unit_tests/unit_tests
                RUN set -ex && \\
                    for line in '[project]' \\
                                'name = "unit_tests"' \\
@@ -994,15 +994,15 @@ def test_config_to_compose_simple_config():
                                '[build-system]' \\
                                'requires = ["setuptools>=61"]' \\
                                'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
                    done
                # -- End of non-package dependency unit_tests --
                # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
                # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/outer-unit_tests/unit_tests
+                WORKDIR /deps/__outer_unit_tests/unit_tests
        """
    actual_compose_stdin = config_to_compose(
        PATH_TO_CONFIG,
@@ -1025,7 +1025,7 @@ def test_config_to_compose_env_vars():
            dockerfile_inline: |
                FROM langchain/langgraph-api-custom:3.11
                # -- Adding non-package dependency unit_tests --
-                ADD . /deps/outer-unit_tests/unit_tests
+                ADD . /deps/__outer_unit_tests/unit_tests
                RUN set -ex && \\
                    for line in '[project]' \\
                                'name = "unit_tests"' \\
@@ -1035,15 +1035,15 @@ def test_config_to_compose_env_vars():
                                '[build-system]' \\
                                'requires = ["setuptools>=61"]' \\
                                'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
                    done
                # -- End of non-package dependency unit_tests --
                # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
                # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/outer-unit_tests/unit_tests
+                WORKDIR /deps/__outer_unit_tests/unit_tests
        """
    openai_api_key = "key"
    actual_compose_stdin = config_to_compose(
@@ -1070,7 +1070,7 @@ def test_config_to_compose_env_file():
            dockerfile_inline: |
                FROM langchain/langgraph-api:3.11
                # -- Adding non-package dependency unit_tests --
-                ADD . /deps/outer-unit_tests/unit_tests
+                ADD . /deps/__outer_unit_tests/unit_tests
                RUN set -ex && \\
                    for line in '[project]' \\
                                'name = "unit_tests"' \\
@@ -1080,15 +1080,15 @@ def test_config_to_compose_env_file():
                                '[build-system]' \\
                                'requires = ["setuptools>=61"]' \\
                                'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
                    done
                # -- End of non-package dependency unit_tests --
                # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
                # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/outer-unit_tests/unit_tests
+                WORKDIR /deps/__outer_unit_tests/unit_tests
        """
    actual_compose_stdin = config_to_compose(
        PATH_TO_CONFIG,
@@ -1108,7 +1108,7 @@ def test_config_to_compose_watch():
            dockerfile_inline: |
                FROM langchain/langgraph-api:3.11
                # -- Adding non-package dependency unit_tests --
-                ADD . /deps/outer-unit_tests/unit_tests
+                ADD . /deps/__outer_unit_tests/unit_tests
                RUN set -ex && \\
                    for line in '[project]' \\
                                'name = "unit_tests"' \\
@@ -1118,15 +1118,15 @@ def test_config_to_compose_watch():
                                '[build-system]' \\
                                'requires = ["setuptools>=61"]' \\
                                'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
                    done
                # -- End of non-package dependency unit_tests --
                # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
                # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/outer-unit_tests/unit_tests
+                WORKDIR /deps/__outer_unit_tests/unit_tests
        
        develop:
            watch:
@@ -1155,7 +1155,7 @@ def test_config_to_compose_end_to_end():
            dockerfile_inline: |
                FROM langchain/langgraph-api:3.11
                # -- Adding non-package dependency unit_tests --
-                ADD . /deps/outer-unit_tests/unit_tests
+                ADD . /deps/__outer_unit_tests/unit_tests
                RUN set -ex && \\
                    for line in '[project]' \\
                                'name = "unit_tests"' \\
@@ -1165,15 +1165,15 @@ def test_config_to_compose_end_to_end():
                                '[build-system]' \\
                                'requires = ["setuptools>=61"]' \\
                                'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
                    done
                # -- End of non-package dependency unit_tests --
                # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
                # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/outer-unit_tests/unit_tests
+                WORKDIR /deps/__outer_unit_tests/unit_tests
        
        develop:
            watch:
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+    { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.2.120,<0.4.0" },
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@@ -5,9 +5,7 @@
      "Bash(python:*)",
      "Bash(grep:*)",
      "Bash(sed:*)",
-      "Bash(awk:*)",
-      "Bash(uv run mypy:*)",
-      "Bash(uv run:*)"
+      "Bash(awk:*)"
    ],
    "deny": []
  }
@@ -1,279 +0,0 @@
-# Understanding `channel_versions` for State Channels in LangGraph
-
-## Overview
-
-While `versions_seen` only tracks trigger channels, `channel_versions` tracks **ALL channels** including state channels like `fieldA` and `fieldB`. This document explains why state channel versions matter.
-
-## The Two Version Tracking Mechanisms
-
-| Mechanism | What it tracks | Purpose |
-|-----------|---------------|---------|
-| `channel_versions` | **All channels** (state + triggers) | Storage, recovery, change tracking |
-| `versions_seen` | **Only triggers** | Scheduling, prevent duplicate execution |
-
---
-
-## Why Track State Channel Versions?
-
-### Purpose 1: Incremental Storage
-
-When saving a checkpoint, LangGraph only serializes channels that have **changed** since the last checkpoint.
-
-```python
-# In checkpointer.put()
-def put(self, config, checkpoint, metadata, new_versions):
-    for k, v in new_versions.items():  # Only changed channels!
-        self.blobs[(thread_id, ns, k, v)] = serialize(values[k])
-```
-
-The `new_versions` parameter is computed by comparing current versions with previous versions:
-
-```python
-def get_new_channel_versions(previous_versions, current_versions):
-    """Get subset of current_versions that are newer than previous_versions."""
-    return {
-        k: v
-        for k, v in current_versions.items()
-        if v > previous_versions.get(k, null_version)
-    }
-```
-
-**Benefit**: If `fieldA` didn't change in a step, it won't be re-serialized!
-
-### Purpose 2: Version-Keyed Storage
-
-Channel values are stored with their version as part of the key:
-
-```python
-# Storage structure in InMemorySaver
-blobs = {
-    (thread_id, ns, "fieldA", v02): b"Hello",         # Step 0
-    (thread_id, ns, "fieldA", v03): b"Hello->A",      # Step 1  
-    (thread_id, ns, "fieldA", v04): b"Hello->A->B",   # Step 2
-    (thread_id, ns, "fieldB", v02): b"World",         # Step 0
-    (thread_id, ns, "fieldB", v03): b"World->A",      # Step 1
-    ...
-}
-```
-
-**Benefit**: Can restore to ANY historical checkpoint - each version's value is stored independently.
-
-### Purpose 3: Precise Recovery
-
-When restoring a checkpoint, use `channel_versions` to load the correct value:
-
-```python
-# Restoring Step 1's checkpoint
-checkpoint["channel_versions"] = {"fieldA": v03, "fieldB": v03}
-
-# Load correct version of each value
-fieldA = blobs[(thread_id, ns, "fieldA", v03)]  # "Hello->A"
-fieldB = blobs[(thread_id, ns, "fieldB", v03)]  # "World->A"
-```
-
---
-
-## Example: Step-by-Step Channel Version Changes
-
-Using the same graph:
-
-```
-        ┌──────────┐
-        │  nodeA   │  (reads fieldA + fieldB)
-        └────┬─────┘
-             │
-      ┌──────┴──────┐
-      ▼             ▼
-┌──────────┐  ┌──────────┐
-│  nodeB   │  │  nodeC   │  (nodeB reads fieldA, nodeC reads fieldB)
-└────┬─────┘  └────┬─────┘
-      │             │
-      └──────┬──────┘
-             ▼
-        ┌──────────┐
-        │  nodeD   │  (reads fieldA + fieldB)
-        └──────────┘
-```
-
-### Step -1: Input
-
-```
-channel_versions:
-    __start__: v01
-
-channel_values:
-    __start__: {'fieldA': 'Hello', 'fieldB': 'World'}
-
-new_versions (to save): {__start__: v01}
-  → Only __start__ is saved
-```
-
-### Step 0: `__start__` executes
-
-```
-channel_versions:
-    __start__:        v02
-    branch:to:nodeA:  v02
-    fieldA:           v02  ← NEW!
-    fieldB:           v02  ← NEW!
-
-channel_values:
-    branch:to:nodeA: None
-    fieldA: Hello
-    fieldB: World
-
-new_versions (to save): {__start__: v02, branch:to:nodeA: v02, fieldA: v02, fieldB: v02}
-  → All changed channels are saved
-```
-
-### Step 1: nodeA executes
-
-```
-channel_versions:
-    __start__:        v02  ← unchanged
-    branch:to:nodeA:  v03  ← updated (consumed)
-    branch:to:nodeB:  v03  ← NEW!
-    branch:to:nodeC:  v03  ← NEW!
-    fieldA:           v03  ← updated!
-    fieldB:           v03  ← updated!
-
-channel_values:
-    branch:to:nodeB: None
-    branch:to:nodeC: None
-    fieldA: Hello->A
-    fieldB: World->A
-
-new_versions (to save): {branch:to:nodeA: v03, branch:to:nodeB: v03, branch:to:nodeC: v03, fieldA: v03, fieldB: v03}
-  → __start__ NOT saved (unchanged at v02)
-```
-
-### Step 2: nodeB and nodeC execute (parallel)
-
-```
-channel_versions:
-    __start__:              v02  ← unchanged
-    branch:to:nodeA:        v03  ← unchanged
-    branch:to:nodeB:        v04  ← updated (consumed)
-    branch:to:nodeC:        v04  ← updated (consumed)
-    fieldA:                 v04  ← updated by nodeB!
-    fieldB:                 v04  ← updated by nodeC!
-    join:nodeB+nodeC:nodeD: v04  ← NEW!
-
-channel_values:
-    fieldA: Hello->A->B
-    fieldB: World->A->C
-    join:nodeB+nodeC:nodeD: {'nodeB', 'nodeC'}
-
-new_versions (to save): {branch:to:nodeB: v04, branch:to:nodeC: v04, fieldA: v04, fieldB: v04, join:...: v04}
-  → Only changed channels saved
-```
-
-### Step 3: nodeD executes
-
-```
-channel_versions:
-    __start__:              v02  ← unchanged since Step 0!
-    branch:to:nodeA:        v03  ← unchanged since Step 1
-    branch:to:nodeB:        v04  ← unchanged
-    branch:to:nodeC:        v04  ← unchanged
-    fieldA:                 v05  ← updated by nodeD!
-    fieldB:                 v05  ← updated by nodeD!
-    join:nodeB+nodeC:nodeD: v05  ← updated (consumed)
-
-channel_values:
-    fieldA: Hello->A->B->D
-    fieldB: World->A->C->D
-    join:nodeB+nodeC:nodeD: set()
-
-new_versions (to save): {fieldA: v05, fieldB: v05, join:...: v05}
-  → Only 3 channels saved, not all 7!
-```
-
---
-
-## Storage Efficiency Visualization
-
-```
-Step 0:  Save [__start__, branch:to:nodeA, fieldA, fieldB]     = 4 channels
-Step 1:  Save [branch:to:nodeA, branch:to:nodeB, branch:to:nodeC, fieldA, fieldB] = 5 channels
-Step 2:  Save [branch:to:nodeB, branch:to:nodeC, fieldA, fieldB, join:...] = 5 channels
-Step 3:  Save [fieldA, fieldB, join:...]                       = 3 channels
-
-Without incremental storage: 7 channels × 4 steps = 28 serializations
-With incremental storage:    4 + 5 + 5 + 3        = 17 serializations
-                                                    = 39% savings!
-```
-
---
-
-## Time Travel: Restoring Any Checkpoint
-
-Because each version is stored separately, you can restore to any point:
-
-```
-Want to restore Step 1?
-  → checkpoint["channel_versions"] = {fieldA: v03, fieldB: v03, ...}
-  → Load blobs[(thread_id, ns, "fieldA", v03)] = "Hello->A"
-  → Load blobs[(thread_id, ns, "fieldB", v03)] = "World->A"
-
-Want to restore Step 2?
-  → checkpoint["channel_versions"] = {fieldA: v04, fieldB: v04, ...}
-  → Load blobs[(thread_id, ns, "fieldA", v04)] = "Hello->A->B"
-  → Load blobs[(thread_id, ns, "fieldB", v04)] = "World->A->C"
-```
-
---
-
-## Summary: State Channel Versions vs Trigger Channel Versions
-
-| Aspect | State Channels (fieldA, fieldB) | Trigger Channels (branch:to:*) |
-|--------|--------------------------------|-------------------------------|
-| In `channel_versions`? | ✅ Yes | ✅ Yes |
-| In `versions_seen`? | ❌ No | ✅ Yes |
-| Version increases when? | Value is updated | Written to OR consumed |
-| Used for scheduling? | ❌ No | ✅ Yes |
-| Used for storage? | ✅ Yes (incremental save) | ✅ Yes |
-| Used for recovery? | ✅ Yes (load correct version) | ✅ Yes |
-
---
-
-## Code Reference
-
-### Where `channel_versions` is updated
-
-```python
-# In apply_writes() - libs/langgraph/langgraph/pregel/_algo.py
-for chan, vals in pending_writes_by_channel.items():
-    if channels[chan].update(vals) and next_version is not None:
-        checkpoint["channel_versions"][chan] = next_version  # ← Update version
-        updated_channels.add(chan)
-```
-
-### Where incremental storage happens
-
-```python
-# In InMemorySaver.put() - libs/checkpoint/langgraph/checkpoint/memory/__init__.py
-def put(self, config, checkpoint, metadata, new_versions):
-    values = checkpoint.pop("channel_values")
-    for k, v in new_versions.items():  # ← Only save changed channels
-        self.blobs[(thread_id, checkpoint_ns, k, v)] = (
-            self.serde.dumps_typed(values[k]) if k in values else ("empty", b"")
-        )
-```
-
---
-
-## Running the Test
-
-To see channel versions in action:
-
-```bash
-cd libs/langgraph
-uv run python test_versions_seen.py
-```
-
-The output shows `channel_versions` for each step, where you can observe:
-1. All channels (state + triggers) are tracked
-2. Versions increment when values change
-3. Some channels stay at the same version across multiple steps (unchanged)
-
@@ -0,0 +1,314 @@
+from collections.abc import Sequence
+from inspect import signature
+from typing import Any, Callable, cast
+
+from langchain_core.language_models.chat_models import BaseChatModel
+from langchain_core.messages import AIMessage, SystemMessage
+from langchain_core.tools import BaseTool
+
+from langgraph.agent.types import (
+    AgentJump,
+    AgentMiddleware,
+    AgentState,
+    AgentUpdate,
+    JumpTo,
+    ModelRequest,
+    ResponseFormat,
+)
+from langgraph.constants import END, START
+from langgraph.graph.state import StateGraph
+from langgraph.prebuilt.tool_node import ToolNode
+
+
+def create_agent(
+    *,
+    model: str | BaseChatModel,
+    tools: Sequence[BaseTool | Callable] | ToolNode,
+    system_prompt: str,
+    middleware: Sequence[AgentMiddleware] = (),
+    response_format: ResponseFormat | None = None,
+    context_schema: type[Any] | None = None,
+) -> StateGraph[AgentState, None, AgentUpdate]:
+    # init chat model
+    if isinstance(model, str):
+        try:
+            from langchain.chat_models import (  # type: ignore[import-not-found]
+                init_chat_model,
+            )
+        except ImportError:
+            raise ImportError(
+                "Please install langchain (`pip install langchain`) to "
+                "use '<provider>:<model>' string syntax for `model` parameter."
+            )
+
+        model = cast(BaseChatModel, init_chat_model(model))
+
+    if isinstance(tools, list):
+        all_tools = [t for m in middleware for t in m.tools] + list(tools)
+        tool_node = ToolNode(tools=all_tools)
+        default_tools = tools
+    else:
+        # TODO: what do we do when middleware tools are specified, plus a ToolNode is used?
+        tool_node = tools
+        default_tools = list(tool_node.tools_by_name.values())
+
+    # validate middleware
+    assert len({m.__class__.__name__ for m in middleware}) == len(middleware), (
+        "Please remove duplicate middleware instances."
+    )  # this is just to keep the node names simple, we can change if needed
+    middleware_w_before = [
+        m
+        for m in middleware
+        if m.__class__.before_model is not AgentMiddleware.before_model
+    ]
+    middleware_w_modify_model_request = [
+        m
+        for m in middleware
+        if m.__class__.modify_model_request is not AgentMiddleware.modify_model_request
+    ]
+    middleware_w_after = [
+        m
+        for m in middleware
+        if m.__class__.after_model is not AgentMiddleware.after_model
+    ]
+
+    # create graph, add nodes
+    graph = StateGraph(
+        AgentState,
+        input_schema=AgentUpdate,
+        output_schema=AgentUpdate,
+        context_schema=context_schema,
+    )
+
+    def model_request(state: AgentState) -> AgentState:
+        request = state.model_request or ModelRequest(
+            model=model,
+            tools=default_tools,
+            system_prompt=system_prompt,
+            response_format=response_format,
+            messages=state.messages,
+            tool_choice=None,
+        )
+
+        # prepare messages
+        print(request.system_prompt)
+        if request.system_prompt:
+            messages = [SystemMessage(request.system_prompt)] + request.messages
+        else:
+            messages = request.messages
+        # call model
+        if request.response_format:
+            model_ = request.model.with_structured_output(
+                request.response_format, include_raw=True
+            )
+            output = model_.invoke(
+                messages, tools=request.tools, tool_choice=request.tool_choice
+            )
+            return {"messages": output["raw"], "response": output["parsed"]}
+        else:
+            model_ = request.model.bind_tools(
+                request.tools,
+                tool_choice=request.tool_choice,
+                parallel_tool_calls=False,
+            )
+            output = model_.invoke(messages)
+            if state.response is not None:
+                return {"messages": output, "response": None}
+            else:
+                return {"messages": output}
+
+    graph.add_node("model_request", model_request)
+    graph.add_node("tools", tool_node)
+
+    for m in middleware:
+        if m.__class__.before_model is not AgentMiddleware.before_model:
+            graph.add_node(
+                f"{m.__class__.__name__}.before_model",
+                m.before_model,
+                input_schema=m.State,
+            )
+        if m.__class__.modify_model_request is not AgentMiddleware.modify_model_request:
+
+            def modify_model_request_node(state: AgentState) -> dict[str, ModelRequest]:
+                # TODO assert request.tools in tools, or pass them to tool node
+
+                default_model_request = ModelRequest(
+                    model=model,
+                    tools=default_tools,
+                    system_prompt=system_prompt,
+                    response_format=response_format,
+                    messages=state.messages,
+                    tool_choice=None,
+                )
+
+                return {
+                    "model_request": m.modify_model_request(
+                        state.model_request or default_model_request, state
+                    )
+                }
+
+            graph.add_node(
+                f"{m.__class__.__name__}.modify_model_request",
+                modify_model_request_node,
+                input_schema=m.State,
+            )
+
+        if m.__class__.after_model is not AgentMiddleware.after_model:
+            graph.add_node(
+                f"{m.__class__.__name__}.after_model",
+                m.after_model,
+                input_schema=m.State,
+            )
+
+    # add start edge
+    first_node = (
+        f"{middleware_w_before[0].__class__.__name__}.before_model"
+        if middleware_w_before
+        else f"{middleware_w_modify_model_request[0].__class__.__name__}.modify_model_request"
+        if middleware_w_modify_model_request
+        else "model_request"
+    )
+    last_node = (
+        f"{middleware_w_after[0].__class__.__name__}.after_model"
+        if middleware_w_after
+        else "model_request"
+    )
+    graph.add_edge(START, first_node)
+
+    # add cond edges
+    graph.add_conditional_edges(
+        "tools",
+        _make_tools_to_model_edge(tool_node, first_node),
+        [first_node, END],
+    )
+    graph.add_conditional_edges(
+        last_node, _make_model_to_tools_edge(first_node), [first_node, "tools", END]
+    )
+
+    # add before model edges
+    if middleware_w_before:
+        for m1, m2 in zip(middleware_w_before, middleware_w_before[1:]):
+            _add_middleware_edge(
+                graph,
+                m1.before_model,
+                f"{m1.__class__.__name__}.before_model",
+                f"{m2.__class__.__name__}.before_model",
+                first_node,
+            )
+        _add_middleware_edge(
+            graph,
+            middleware_w_before[-1].before_model,
+            f"{middleware_w_before[-1].__class__.__name__}.before_model",
+            "model_request",
+            first_node,
+        )
+
+    # add modify model request edges
+    if middleware_w_modify_model_request:
+        for m1, m2 in zip(
+            middleware_w_modify_model_request, middleware_w_modify_model_request[1:]
+        ):
+            _add_middleware_edge(
+                graph,
+                m1.modify_model_request,
+                f"{m1.__class__.__name__}.modify_model_request",
+                f"{m2.__class__.__name__}.modify_model_request",
+                first_node,
+            )
+        _add_middleware_edge(
+            graph,
+            middleware_w_modify_model_request[-1].modify_model_request,
+            f"{middleware_w_modify_model_request[-1].__class__.__name__}.modify_model_request",
+            "model_request",
+            first_node,
+        )
+
+    # add after model edges
+    if middleware_w_after:
+        graph.add_edge(
+            "model_request", f"{middleware_w_after[-1].__class__.__name__}.after_model"
+        )
+        for idx in range(len(middleware_w_after) - 1, 0, -1):
+            m1 = middleware_w_after[idx]
+            m2 = middleware_w_after[idx - 1]
+            _add_middleware_edge(
+                graph,
+                m1.after_model,
+                f"{m1.__class__.__name__}.after_model",
+                f"{m2.__class__.__name__}.after_model",
+                first_node,
+            )
+        # _add_middleware_edge(
+        #     graph,
+        #     middleware_w_after[-1].after_model,
+        #     f"{middleware_w_after[-1].__class__.__name__}.after_model",
+        #     "model_request",
+        #     first_node,
+        # )
+
+    return graph
+
+
+def _resolve_jump(jump_to: JumpTo | None, first_node: str) -> str | None:
+    if jump_to == "model":
+        return first_node
+    elif jump_to:
+        return jump_to
+
+
+def _make_model_to_tools_edge(first_node: str) -> Callable[[AgentState], str | None]:
+    def model_to_tools(state: AgentState) -> str | None:
+        if state.jump_to:
+            return _resolve_jump(state.jump_to, first_node)
+        message = state.messages[-1]
+        if isinstance(message, AIMessage) and message.tool_calls:
+            return "tools"
+
+        return END
+
+    return model_to_tools
+
+
+def _make_tools_to_model_edge(
+    tool_node: ToolNode, next_node: str
+) -> Callable[[AgentState], str | None]:
+    def tools_to_model(state: AgentState) -> str | None:
+        ai_message = [m for m in state.messages if isinstance(m, AIMessage)][-1]
+        if all(
+            tool_node.tools_by_name[c["name"]].return_direct
+            for c in ai_message.tool_calls
+            if c["name"] in tool_node.tools_by_name
+        ):
+            return END
+
+        return next_node
+
+    return tools_to_model
+
+
+def _add_middleware_edge(
+    graph: StateGraph,
+    method: Callable[[AgentState], AgentUpdate | AgentJump | None],
+    name: str,
+    default_destination: str,
+    model_destination: str,
+) -> None:
+    sig = signature(method)
+    uses_jump = sig.return_annotation is AgentJump or AgentJump in getattr(
+        sig.return_annotation, "__args__", ()
+    )
+
+    if uses_jump:
+
+        def jump_edge(state: AgentState) -> str:
+            return (
+                _resolve_jump(state.jump_to, model_destination) or default_destination
+            )
+
+        destinations = [default_destination, END, "tools"]
+        if name != model_destination:
+            destinations.append(model_destination)
+
+        graph.add_conditional_edges(name, jump_edge, destinations)
+    else:
+        graph.add_edge(name, default_destination)
@@ -0,0 +1,35 @@
+from dataclasses import dataclass
+from typing import Literal
+
+from langchain_core.language_models.chat_models import BaseChatModel
+
+from langgraph.agent.types import (
+    AgentJump,
+    AgentMiddleware,
+    AgentState,
+    AgentUpdate,
+    ModelRequest,
+)
+
+
+class DynamicModelMiddleware(AgentMiddleware):
+    """Selects different models based on task complexity"""
+
+    def __init__(
+        self,
+        basic_model: BaseChatModel,
+        complex_model: BaseChatModel,
+        message_threshold: int = 5,
+    ):
+        self.basic_model = basic_model
+        self.complex_model = complex_model
+        self.message_threshold = message_threshold
+
+    def modify_model_request(
+        self, request: ModelRequest, state: AgentState
+    ) -> ModelRequest:
+        if len(state.messages) > self.message_threshold:
+            request.model = self.complex_model
+        else:
+            request.model = self.basic_model
+        return request
@@ -0,0 +1,102 @@
+from langgraph.agent.types import AgentJump, AgentMiddleware, AgentState, AgentUpdate
+from langgraph.prebuilt.interrupt import (
+    ActionRequest,
+    HumanInterrupt,
+    HumanInterruptConfig,
+    HumanResponse,
+)
+from langgraph.types import interrupt
+
+ToolInterruptConfig = dict[str, HumanInterruptConfig]
+
+
+class HumanInTheLoopMiddleware(AgentMiddleware):
+    def __init__(
+        self,
+        tool_configs: ToolInterruptConfig,
+        message_prefix: str = "Tool execution requires approval",
+    ):
+        super().__init__()
+        self.tool_configs = tool_configs
+        self.message_prefix = message_prefix
+
+    def after_model(self, state: AgentState) -> AgentUpdate | AgentJump | None:
+        messages = state.messages
+        if not messages:
+            return
+
+        last_message = messages[-1]
+
+        if not hasattr(last_message, "tool_calls") or not last_message.tool_calls:
+            return
+
+        # Separate tool calls that need interrupts from those that don't
+        interrupt_tool_calls = []
+        auto_approved_tool_calls = []
+
+        for tool_call in last_message.tool_calls:
+            tool_name = tool_call["name"]
+            if tool_name in self.tool_configs:
+                interrupt_tool_calls.append(tool_call)
+            else:
+                auto_approved_tool_calls.append(tool_call)
+
+        # If no interrupts needed, return early
+        if not interrupt_tool_calls:
+            return
+
+        approved_tool_calls = auto_approved_tool_calls.copy()
+
+        # Process all tool calls that need interrupts in parallel
+        requests = []
+
+        for tool_call in interrupt_tool_calls:
+            tool_name = tool_call["name"]
+            tool_args = tool_call["args"]
+            description = (
+                f"{self.message_prefix}\n\nTool: {tool_name}\nArgs: {tool_args}"
+            )
+            tool_config = self.tool_configs[tool_name]
+
+            request: HumanInterrupt = {
+                "action_request": ActionRequest(
+                    action=tool_name,
+                    args=tool_args,
+                ),
+                "config": tool_config,
+                "description": description,
+            }
+            requests.append(request)
+
+        responses: list[HumanResponse] = interrupt(requests)
+
+        for i, response in enumerate(responses):
+            tool_call = interrupt_tool_calls[i]
+
+            if response["type"] == "accept":
+                approved_tool_calls.append(tool_call)
+            elif response["type"] == "edit":
+                edited: ActionRequest = response["args"]
+                new_tool_call = {
+                    "name": tool_call["name"],
+                    "args": edited["args"],
+                    "id": tool_call["id"],
+                }
+                approved_tool_calls.append(new_tool_call)
+            elif response["type"] == "ignore":
+                # NOTE: does not work with multiple interrupts
+                return {"goto": "__end__"}
+            elif response["type"] == "response":
+                # NOTE: does not work with multiple interrupts
+                tool_message = {
+                    "role": "tool",
+                    "tool_call_id": tool_call["id"],
+                    "content": response["args"],
+                }
+                return {"messages": [tool_message], "goto": "model"}
+            else:
+                raise ValueError(f"Unknown response type: {response['type']}")
+
+        last_message.tool_calls = approved_tool_calls
+
+        return {"messages": [last_message]}
@@ -0,0 +1,23 @@
+import operator
+from dataclasses import dataclass
+from typing import Annotated
+
+from langgraph.agent.types import AgentJump, AgentMiddleware, AgentState, AgentUpdate
+
+
+class ModelRequestLimitMiddleware(AgentMiddleware):
+    """Terminates after N model requests"""
+
+    @dataclass
+    class State(AgentMiddleware.State):
+        model_request_count: Annotated[int, operator.add] = 0
+
+    def __init__(self, max_requests: int = 10):
+        self.max_requests = max_requests
+
+    def before_model(self, state: State) -> AgentUpdate | AgentJump | None:
+        # TODO: want to be able to configure end behavior here
+        if state.model_request_count == self.max_requests:
+            return {"jump_to": "__end__"}
+
+        return {"model_request_count": 1}
@@ -0,0 +1,108 @@
+import uuid
+from collections.abc import Sequence
+from typing import Callable, Iterable
+
+from langchain_core.language_models import LanguageModelLike
+from langchain_core.messages import (
+    AIMessage,
+    AnyMessage,
+    MessageLikeRepresentation,
+    RemoveMessage,
+    ToolMessage,
+)
+from langchain_core.messages.utils import count_tokens_approximately
+
+TokenCounter = Callable[[Iterable[MessageLikeRepresentation]], int]
+
+
+from langgraph.agent.types import AgentMiddleware, AgentState
+
+DEFAULT_SUMMARY_PROMPT = """<role>
+Context Extraction Assistant
+</role>
+
+<primary_objective>
+Your sole objective in this task is to extract the highest quality/most relevant context from the conversation history below.
+</primary_objective>
+
+<objective_information>
+You're nearing the total number of input tokens you can accept, so you must extract the highest quality/most relevant pieces of information from your conversation history.
+This context will then overwrite the conversation history presented below. Because of this, ensure the context you extract is only the most important information to your overall goal.
+</objective_information>
+
+<instructions>
+The conversation history below will be replaced with the context you extract in this step. Because of this, you must do your very best to extract and record all of the most important context from the conversation history.
+You want to ensure that you don't repeat any actions you've already completed, so the context you extract from the conversation history should be focused on the most important information to your overall goal.
+</instructions>
+
+The user will message you with the full message history you'll be extracting context from, to then replace. Carefully read over it all, and think deeply about what information is most important to your overall goal that should be saved:
+
+With all of this in mind, please carefully read over the entire conversation history, and extract the most important and relevant context to replace it so that you can free up space in the conversation history.
+Respond ONLY with the extracted context. Do not include any additional information, or text before or after the extracted context."""
+
+
+class SummarizationMiddleware(AgentMiddleware):
+    def __init__(
+        self,
+        model: LanguageModelLike,
+        max_tokens_before_summary: int | None = None,
+        token_counter: TokenCounter = count_tokens_approximately,
+        messages_to_leave: int = 20,
+        summary_system_prompt: str = DEFAULT_SUMMARY_PROMPT,
+        fake_tool_call_name: str = "summarize_convo",
+    ):
+        super().__init__()
+        self.model = model
+        self.max_tokens_before_summary = max_tokens_before_summary
+        self.token_counter = token_counter
+        self.messages_to_leave = messages_to_leave
+        self.summary_system_prompt = summary_system_prompt
+        self.fake_tool_call_name = fake_tool_call_name
+
+    def before_model(self, state: AgentState) -> AgentState | None:
+        messages = state.messages
+        token_counts = self.token_counter(messages)
+        # If token counts are less than max allowed, then end this hook early
+        if token_counts < self.max_tokens_before_summary:
+            return None
+        # Otherwise, we create a summary!
+        # Get messages that we want to create a summary for
+        messages_to_summarize = messages[: -self.messages_to_leave]
+        # Create summary text
+        summary = self._summarize_messages(messages_to_summarize)
+        # Create fake messages to add to history
+        fake_tool_call_id = str(uuid.uuid4())
+        fake_messages = [
+            AIMessage(
+                content="Looks like I'm running out of tokens. I'm going to summarize the conversation history to free up space.",
+                tool_calls={
+                    "id": fake_tool_call_id,
+                    "name": self.fake_tool_call_name,
+                    "args": {
+                        "reasoning": "I'm running out of tokens. I'm going to summarize all of the messages since my last summary message to free up space.",
+                    },
+                },
+            ),
+            ToolMessage(tool_call_id=fake_tool_call_id, content=summary),
+        ]
+        return {
+            "messages": [RemoveMessage(id=m.id) for m in messages_to_summarize]
+            + fake_messages
+        }
+
+    def _summarize_messages(self, messages_to_summarize: Sequence[AnyMessage]) -> str:
+        system_message = self.summary_system_prompt
+        user_message = self._format_messages(messages_to_summarize)
+        response = self.model.invoke(
+            [
+                {"role": "system", "content": system_message},
+                {"role": "user", "content": user_message},
+            ]
+        )
+        # Use new .text attribute when ready
+        return response.content
+
+    @staticmethod
+    def _format_messages(messages_to_summarize: Sequence[AnyMessage]) -> str:
+        # TODO: better formatting logic
+        return "\n".join([m.content for m in messages_to_summarize])
@@ -0,0 +1,84 @@
+from dataclasses import dataclass
+from typing import cast
+
+from langchain_core.messages import AIMessage, HumanMessage, ToolMessage
+from langchain_core.tools import BaseTool, tool
+
+from langgraph.agent import create_agent
+from langgraph.agent.types import AgentJump, AgentMiddleware, ModelRequest
+
+
+@dataclass
+class SwarmAgent:
+    name: str
+    system_prompt: str
+    tools: list[BaseTool]
+
+
+class MultiAgentMiddleware(AgentMiddleware):
+    """Multi agent middleware (enabling swarm like behavior).
+
+    TODOs:
+    * Support create_agent for handoffs
+    * Support handoff customization
+      * do we want to include handoff messages / enable togglging
+      * default active agent
+      * handoff tool naming / descriptions
+    """
+
+    @dataclass
+    class State(AgentMiddleware.State):
+        active_agent: str | None = None
+
+    @staticmethod
+    def _create_handoff_tools(agents: list[SwarmAgent]) -> list[BaseTool]:
+        handoff_tools: list[BaseTool] = []
+
+        for agent in agents:
+
+            def handoff_tool() -> str:
+                return f"Handing off to {agent.name}"
+
+            handoff_tools.append(
+                tool(
+                    f"handoff_to_{agent.name}",
+                    description=f"Handoff tool to trigger a handoff to {agent.name}",
+                )(handoff_tool)
+            )
+
+        return handoff_tools
+
+    def __init__(self, agents: list[SwarmAgent]):
+        self.agents: dict[str, SwarmAgent] = {agent.name: agent for agent in agents}
+        self.handoff_tools = self._create_handoff_tools(agents)
+
+    def modify_model_request(self, request: ModelRequest, state: State) -> ModelRequest:
+        if (active_agent := getattr(state, "active_agent", None)) is not None:
+            agent = self.agents[active_agent]
+            request.system_prompt = agent.system_prompt
+            request.tools = agent.tools
+
+        request.tools.extend(self.handoff_tools)
+
+        return request
+
+    def after_model(self, state) -> State | None:
+        # TODO: handle parallel handoffs, we don't do this currently
+
+        ai_msg: AIMessage = cast(AIMessage, state.messages[-1])
+        if ai_msg.tool_calls:
+            for call in ai_msg.tool_calls:
+                if call["name"].startswith("handoff_to_"):
+                    active_agent = call["name"].replace("handoff_to_", "")
+                    return {
+                        "messages": [
+                            ToolMessage(
+                                name=call["name"],
+                                content=f"Successfully transferred to {active_agent}",
+                                tool_call_id=call["id"],
+                            )
+                        ],
+                        "active_agent": active_agent,
+                        "jump_to": "model",
+                    }
+            return None
@@ -0,0 +1,44 @@
+from dataclasses import dataclass, field
+from typing import Annotated, Any, Dict, List, cast
+
+from langchain_core.messages import AIMessage
+from typing_extensions import Annotated
+
+from langgraph.agent.types import AgentJump, AgentMiddleware, AgentState, AgentUpdate
+
+
+class ToolCallLimitMiddleware(AgentMiddleware):
+    """Terminates after a specific tool is called N times"""
+
+    @dataclass
+    class State(AgentMiddleware.State):
+        important: Annotated[dict[str, int], Input, Output] = field(default_factory=dict)
+
+    @dataclass
+    class InputState(AgentMiddleware.State):
+        important: dict[str, int]
+
+    @dataclass
+    class OutputState(AgentMiddleware.State):
+        important: dict[str, int]
+
+    def __init__(self, tool_limits: dict[str, int]):
+        self.tool_limits = tool_limits
+
+    def after_model(self, state: State) -> AgentUpdate | AgentJump | None:
+        ai_msg: AIMessage = cast(AIMessage, state.messages[-1])
+
+        tool_calls = {}
+        for call in ai_msg.tool_calls or []:
+            tool_calls[call["name"]] = tool_calls.get(call["name"], 0) + 1
+
+        aggregate_calls = state.tool_call_count.copy()
+        for tool_name in tool_calls.keys():
+            aggregate_calls[tool_name] = aggregate_calls.get(tool_name, 0) + 1
+
+        for tool_name, max_calls in self.tool_limits.items():
+            count = aggregate_calls.get(tool_name, 0)
+            if count == max_calls:
+                return {"tool_call_count": aggregate_calls, "jump_to": "__end__"}
+
+        return {"tool_call_count": aggregate_calls}
@@ -0,0 +1,62 @@
+from __future__ import annotations
+
+from collections.abc import Sequence
+from dataclasses import dataclass
+from typing import Annotated, Any, Literal
+
+from langchain_core.language_models.chat_models import BaseChatModel
+from langchain_core.messages import AnyMessage
+from langchain_core.tools import BaseTool
+from pydantic import BaseModel
+from typing_extensions import TypedDict
+
+from langgraph.channels.ephemeral_value import EphemeralValue
+from langgraph.graph.message import Messages, add_messages
+from langgraph.runtime import Runtime
+
+ResponseFormat = dict | type[BaseModel]
+JumpTo = Literal["tools", "model", "__end__"]
+
+
+@dataclass
+class ModelRequest:
+    model: BaseChatModel
+    system_prompt: str
+    messages: list[AnyMessage]  # excluding system prompt
+    tool_choice: Any
+    tools: list[BaseTool]
+    response_format: ResponseFormat | None
+
+
+@dataclass
+class AgentState:
+    messages: Annotated[list[AnyMessage], add_messages]
+    model_request: Annotated[ModelRequest | None, EphemeralValue] = None
+    jump_to: Annotated[JumpTo | None, EphemeralValue] = None
+    response: dict | None = None
+
+
+class AgentMiddleware:
+    class State(AgentState):
+        pass
+
+    tools: list[BaseTool]
+
+    def before_model(self, state: State) -> AgentUpdate | AgentJump | None:
+        pass
+
+    def modify_model_request(self, request: ModelRequest, state: State) -> ModelRequest:
+        return request
+
+    def after_model(self, state: State) -> AgentUpdate | AgentJump | None:
+        pass
+
+
+class AgentUpdate(TypedDict, total=False):
+    messages: Messages
+    response: dict
+
+
+class AgentJump(TypedDict, total=False):
+    messages: Messages
+    jump_to: JumpTo
@@ -25,7 +25,7 @@ from typing import (

 from langchain_core.runnables import Runnable, RunnableConfig
 from pydantic import BaseModel, TypeAdapter
-from typing_extensions import NotRequired, Required, Self, Unpack, is_typeddict
+from typing_extensions import Self, Unpack, is_typeddict

 from langgraph._internal._constants import (
    INTERRUPT,
@@ -1334,12 +1334,6 @@ def _get_channel(
 def _get_channel(
    name: str, annotation: Any, *, allow_managed: bool = True
 ) -> BaseChannel | ManagedValueSpec:
-    # Strip out Required and NotRequired wrappers
-    if hasattr(annotation, "__origin__") and annotation.__origin__ in (
-        Required,
-        NotRequired,
-    ):
-        annotation = annotation.__args__[0]
    if manager := _is_field_managed_value(name, annotation):
        if allow_managed:
            return manager
@@ -194,7 +194,7 @@ def local_read(
        for c, v in task.writes:
            if c in select:
                updated[c].append(v)
-    if fresh:
+    if fresh and updated:
        # apply writes
        local_channels: dict[str, BaseChannel] = {}
        for k in channels:
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph"
-version = "0.6.7"
+version = "0.6.6"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.9"
@@ -1,169 +0,0 @@
-"""
-Test script to demonstrate versions_seen in StateGraph
-
-Graph structure:
-    nodeA -> nodeB + nodeC -> nodeD
-
-State:
-    fieldA: str
-    fieldB: str
-"""
-
-from typing import TypedDict
-from langgraph.graph import StateGraph, START, END
-from langgraph.checkpoint.memory import InMemorySaver
-from pprint import pprint
-import json
-
-
-class State(TypedDict):
-    fieldA: str
-    fieldB: str
-
-
-class StateOnlyA(TypedDict):
-    """Input schema for nodeB - only reads fieldA"""
-    fieldA: str
-
-
-class StateOnlyB(TypedDict):
-    """Input schema for nodeC - only reads fieldB"""
-    fieldB: str
-
-
-def nodeA(state: State) -> dict:
-    """Reads fieldA + fieldB"""
-    print(f"  [nodeA] Reading: fieldA='{state['fieldA']}', fieldB='{state['fieldB']}'")
-    return {"fieldA": state["fieldA"] + "->A", "fieldB": state["fieldB"] + "->A"}
-
-
-def nodeB(state: StateOnlyA) -> dict:
-    """Reads only fieldA"""
-    print(f"  [nodeB] Reading: fieldA='{state['fieldA']}'")
-    return {"fieldA": state["fieldA"] + "->B"}
-
-
-def nodeC(state: StateOnlyB) -> dict:
-    """Reads only fieldB"""
-    print(f"  [nodeC] Reading: fieldB='{state['fieldB']}'")
-    return {"fieldB": state["fieldB"] + "->C"}
-
-
-def nodeD(state: State) -> dict:
-    """Reads fieldA + fieldB"""
-    print(f"  [nodeD] Reading: fieldA='{state['fieldA']}', fieldB='{state['fieldB']}'")
-    return {"fieldA": state["fieldA"] + "->D", "fieldB": state["fieldB"] + "->D"}
-
-
-# Build the graph
-graph = StateGraph(State)
-
-graph.add_node("nodeA", nodeA)  # reads fieldA + fieldB (default: full state)
-graph.add_node("nodeB", nodeB, input_schema=StateOnlyA)  # reads only fieldA
-graph.add_node("nodeC", nodeC, input_schema=StateOnlyB)  # reads only fieldB
-graph.add_node("nodeD", nodeD)  # reads fieldA + fieldB (default: full state)
-
-graph.add_edge(START, "nodeA")
-graph.add_edge("nodeA", "nodeB")
-graph.add_edge("nodeA", "nodeC")
-graph.add_edge(["nodeB", "nodeC"], "nodeD")
-graph.add_edge("nodeD", END)
-
-# Compile with checkpointer
-checkpointer = InMemorySaver()
-app = graph.compile(checkpointer=checkpointer)
-
-# Print compiled graph info
-print("=" * 60)
-print("COMPILED GRAPH INFO")
-print("=" * 60)
-print("\nChannels created:")
-for name, channel in app.channels.items():
-    print(f"  - {name}: {type(channel).__name__}")
-
-print("\nNodes with their triggers and channels:")
-for name, node in app.nodes.items():
-    print(f"  - {name}:")
-    print(f"      triggers: {node.triggers}")
-    print(f"      channels: {node.channels}")
-
-# Run the graph
-print("\n" + "=" * 60)
-print("EXECUTION")
-print("=" * 60)
-
-config = {"configurable": {"thread_id": "test-1"}}
-input_state = {"fieldA": "Hello", "fieldB": "World"}
-
-print(f"\nInput: {input_state}\n")
-
-# Run the graph to completion
-result = app.invoke(input_state, config)
-print(f"Final result: {result}\n")
-
-# Now use get_state_history to get all checkpoints in order
-print("=" * 60)
-print("CHECKPOINT HISTORY (using get_state_history)")
-print("=" * 60)
-
-# get_state_history returns checkpoints in reverse order (newest first)
-history = list(app.get_state_history(config))
-history.reverse()  # Reverse to get oldest first
-
-for idx, state_snapshot in enumerate(history):
-    metadata = state_snapshot.metadata
-    
-    print(f"\n{'='*60}")
-    print(f"Step {metadata.get('step', '?')} - Source: {metadata.get('source', '?')}")
-    print(f"{'='*60}")
-    
-    # Show which node(s) wrote this checkpoint
-    if "writes" in metadata and metadata["writes"]:
-        print(f"Writes by: {list(metadata['writes'].keys())}")
-    
-    print(f"\nState values: {state_snapshot.values}")
-    
-    # Access the actual checkpoint data
-    checkpoint_tuple = checkpointer.get_tuple(state_snapshot.config)
-    if checkpoint_tuple:
-        cp = checkpoint_tuple.checkpoint
-        
-        # Helper to simplify version string
-        def simplify_version(ver):
-            return str(ver).split(".")[0][-2:] if "." in str(ver) else str(ver)
-        
-        # Pretty print checkpoint with simplified versions
-        print("\nCheckpoint (raw):")
-        print(f"  v: {cp['v']}")
-        print(f"  id: {cp['id'][:20]}...")
-        print(f"  ts: {cp['ts']}")
-        print(f"  updated_channels: {cp.get('updated_channels')}")
-        
-        print(f"\n  channel_values:")
-        for ch, val in sorted(cp["channel_values"].items()):
-            val_str = str(val)[:50] + "..." if len(str(val)) > 50 else str(val)
-            print(f"    {ch}: {val_str}")
-        
-        print(f"\n  channel_versions:")
-        for ch, ver in sorted(cp["channel_versions"].items()):
-            print(f"    {ch}: v{simplify_version(ver)}")
-        
-        print(f"\n  versions_seen:")
-        for node_name, seen in sorted(cp["versions_seen"].items()):
-            if seen:
-                print(f"    {node_name}:")
-                for ch, ver in sorted(seen.items()):
-                    print(f"        {ch}: v{simplify_version(ver)}")
-            else:
-                print(f"    {node_name}: {{}}")
-
-print("\n" + "=" * 60)
-print("SUMMARY")
-print("=" * 60)
-print("""
-Key observations:
-1. versions_seen only records TRIGGER channels (branch:to:*, join:*)
-2. State channels (fieldA, fieldB) are NEVER in versions_seen
-3. Each node only records the trigger channel that activated it
-""")
-
@@ -0,0 +1,313 @@
+# serializer version: 1
+# name: test_create_agent_diagram
+  '''
+  ---
+  config:
+    flowchart:
+      curve: linear
+  ---
+  graph TD;
+  	__start__([<p>__start__</p>]):::first
+  	model_request(model_request)
+  	tools(tools)
+  	__end__([<p>__end__</p>]):::last
+  	__start__ --> model_request;
+  	model_request -.-> __end__;
+  	model_request -.-> tools;
+  	tools -.-> __end__;
+  	tools -.-> model_request;
+  	classDef default fill:#f2f0ff,line-height:1.2
+  	classDef first fill-opacity:0
+  	classDef last fill:#bfb6fc
+  
+  '''
+# ---
+# name: test_create_agent_diagram.1
+  '''
+  ---
+  config:
+    flowchart:
+      curve: linear
+  ---
+  graph TD;
+  	__start__([<p>__start__</p>]):::first
+  	model_request(model_request)
+  	tools(tools)
+  	NoopOne_before_model(NoopOne.before_model)
+  	__end__([<p>__end__</p>]):::last
+  	NoopOne_before_model --> model_request;
+  	__start__ --> NoopOne_before_model;
+  	model_request -.-> __end__;
+  	model_request -.-> tools;
+  	tools -.-> NoopOne_before_model;
+  	tools -.-> __end__;
+  	classDef default fill:#f2f0ff,line-height:1.2
+  	classDef first fill-opacity:0
+  	classDef last fill:#bfb6fc
+  
+  '''
+# ---
+# name: test_create_agent_diagram.2
+  '''
+  ---
+  config:
+    flowchart:
+      curve: linear
+  ---
+  graph TD;
+  	__start__([<p>__start__</p>]):::first
+  	model_request(model_request)
+  	tools(tools)
+  	NoopOne_before_model(NoopOne.before_model)
+  	NoopTwo_before_model(NoopTwo.before_model)
+  	__end__([<p>__end__</p>]):::last
+  	NoopOne_before_model --> NoopTwo_before_model;
+  	NoopTwo_before_model --> model_request;
+  	__start__ --> NoopOne_before_model;
+  	model_request -.-> __end__;
+  	model_request -.-> tools;
+  	tools -.-> NoopOne_before_model;
+  	tools -.-> __end__;
+  	classDef default fill:#f2f0ff,line-height:1.2
+  	classDef first fill-opacity:0
+  	classDef last fill:#bfb6fc
+  
+  '''
+# ---
+# name: test_create_agent_diagram.3
+  '''
+  ---
+  config:
+    flowchart:
+      curve: linear
+  ---
+  graph TD;
+  	__start__([<p>__start__</p>]):::first
+  	model_request(model_request)
+  	tools(tools)
+  	NoopOne_before_model(NoopOne.before_model)
+  	NoopTwo_before_model(NoopTwo.before_model)
+  	NoopThree_before_model(NoopThree.before_model)
+  	__end__([<p>__end__</p>]):::last
+  	NoopOne_before_model --> NoopTwo_before_model;
+  	NoopThree_before_model --> model_request;
+  	NoopTwo_before_model --> NoopThree_before_model;
+  	__start__ --> NoopOne_before_model;
+  	model_request -.-> __end__;
+  	model_request -.-> tools;
+  	tools -.-> NoopOne_before_model;
+  	tools -.-> __end__;
+  	classDef default fill:#f2f0ff,line-height:1.2
+  	classDef first fill-opacity:0
+  	classDef last fill:#bfb6fc
+  
+  '''
+# ---
+# name: test_create_agent_diagram.4
+  '''
+  ---
+  config:
+    flowchart:
+      curve: linear
+  ---
+  graph TD;
+  	__start__([<p>__start__</p>]):::first
+  	model_request(model_request)
+  	tools(tools)
+  	NoopFour_after_model(NoopFour.after_model)
+  	__end__([<p>__end__</p>]):::last
+  	NoopFour_after_model -.-> __end__;
+  	NoopFour_after_model -.-> tools;
+  	__start__ --> model_request;
+  	model_request --> NoopFour_after_model;
+  	tools -.-> __end__;
+  	tools -.-> model_request;
+  	classDef default fill:#f2f0ff,line-height:1.2
+  	classDef first fill-opacity:0
+  	classDef last fill:#bfb6fc
+  
+  '''
+# ---
+# name: test_create_agent_diagram.5
+  '''
+  ---
+  config:
+    flowchart:
+      curve: linear
+  ---
+  graph TD;
+  	__start__([<p>__start__</p>]):::first
+  	model_request(model_request)
+  	tools(tools)
+  	NoopFour_after_model(NoopFour.after_model)
+  	NoopFive_after_model(NoopFive.after_model)
+  	__end__([<p>__end__</p>]):::last
+  	NoopFive_after_model --> NoopFour_after_model;
+  	NoopFour_after_model -.-> __end__;
+  	NoopFour_after_model -.-> tools;
+  	__start__ --> model_request;
+  	model_request --> NoopFive_after_model;
+  	tools -.-> __end__;
+  	tools -.-> model_request;
+  	classDef default fill:#f2f0ff,line-height:1.2
+  	classDef first fill-opacity:0
+  	classDef last fill:#bfb6fc
+  
+  '''
+# ---
+# name: test_create_agent_diagram.6
+  '''
+  ---
+  config:
+    flowchart:
+      curve: linear
+  ---
+  graph TD;
+  	__start__([<p>__start__</p>]):::first
+  	model_request(model_request)
+  	tools(tools)
+  	NoopFour_after_model(NoopFour.after_model)
+  	NoopFive_after_model(NoopFive.after_model)
+  	NoopSix_after_model(NoopSix.after_model)
+  	__end__([<p>__end__</p>]):::last
+  	NoopFive_after_model --> NoopFour_after_model;
+  	NoopFour_after_model -.-> __end__;
+  	NoopFour_after_model -.-> tools;
+  	NoopSix_after_model --> NoopFive_after_model;
+  	__start__ --> model_request;
+  	model_request --> NoopSix_after_model;
+  	tools -.-> __end__;
+  	tools -.-> model_request;
+  	classDef default fill:#f2f0ff,line-height:1.2
+  	classDef first fill-opacity:0
+  	classDef last fill:#bfb6fc
+  
+  '''
+# ---
+# name: test_create_agent_diagram.7
+  '''
+  ---
+  config:
+    flowchart:
+      curve: linear
+  ---
+  graph TD;
+  	__start__([<p>__start__</p>]):::first
+  	model_request(model_request)
+  	tools(tools)
+  	NoopSeven_before_model(NoopSeven.before_model)
+  	NoopSeven_after_model(NoopSeven.after_model)
+  	__end__([<p>__end__</p>]):::last
+  	NoopSeven_after_model -.-> __end__;
+  	NoopSeven_after_model -.-> tools;
+  	NoopSeven_before_model --> model_request;
+  	__start__ --> NoopSeven_before_model;
+  	model_request --> NoopSeven_after_model;
+  	tools -.-> NoopSeven_before_model;
+  	tools -.-> __end__;
+  	classDef default fill:#f2f0ff,line-height:1.2
+  	classDef first fill-opacity:0
+  	classDef last fill:#bfb6fc
+  
+  '''
+# ---
+# name: test_create_agent_diagram.8
+  '''
+  ---
+  config:
+    flowchart:
+      curve: linear
+  ---
+  graph TD;
+  	__start__([<p>__start__</p>]):::first
+  	model_request(model_request)
+  	tools(tools)
+  	NoopSeven_before_model(NoopSeven.before_model)
+  	NoopSeven_after_model(NoopSeven.after_model)
+  	NoopEight_before_model(NoopEight.before_model)
+  	NoopEight_after_model(NoopEight.after_model)
+  	__end__([<p>__end__</p>]):::last
+  	NoopEight_after_model --> NoopSeven_after_model;
+  	NoopEight_before_model --> model_request;
+  	NoopSeven_after_model -.-> __end__;
+  	NoopSeven_after_model -.-> tools;
+  	NoopSeven_before_model --> NoopEight_before_model;
+  	__start__ --> NoopSeven_before_model;
+  	model_request --> NoopEight_after_model;
+  	tools -.-> NoopSeven_before_model;
+  	tools -.-> __end__;
+  	classDef default fill:#f2f0ff,line-height:1.2
+  	classDef first fill-opacity:0
+  	classDef last fill:#bfb6fc
+  
+  '''
+# ---
+# name: test_create_agent_diagram.9
+  '''
+  ---
+  config:
+    flowchart:
+      curve: linear
+  ---
+  graph TD;
+  	__start__([<p>__start__</p>]):::first
+  	model_request(model_request)
+  	tools(tools)
+  	NoopSeven_before_model(NoopSeven.before_model)
+  	NoopSeven_after_model(NoopSeven.after_model)
+  	NoopEight_before_model(NoopEight.before_model)
+  	NoopEight_after_model(NoopEight.after_model)
+  	NoopNine_before_model(NoopNine.before_model)
+  	NoopNine_after_model(NoopNine.after_model)
+  	__end__([<p>__end__</p>]):::last
+  	NoopEight_after_model --> NoopSeven_after_model;
+  	NoopEight_before_model --> NoopNine_before_model;
+  	NoopNine_after_model --> NoopEight_after_model;
+  	NoopNine_before_model --> model_request;
+  	NoopSeven_after_model -.-> __end__;
+  	NoopSeven_after_model -.-> tools;
+  	NoopSeven_before_model --> NoopEight_before_model;
+  	__start__ --> NoopSeven_before_model;
+  	model_request --> NoopNine_after_model;
+  	tools -.-> NoopSeven_before_model;
+  	tools -.-> __end__;
+  	classDef default fill:#f2f0ff,line-height:1.2
+  	classDef first fill-opacity:0
+  	classDef last fill:#bfb6fc
+  
+  '''
+# ---
+# name: test_create_agent_jump[memory]
+  '''
+  ---
+  config:
+    flowchart:
+      curve: linear
+  ---
+  graph TD;
+  	__start__([<p>__start__</p>]):::first
+  	model_request(model_request)
+  	tools(tools)
+  	NoopSeven_before_model(NoopSeven.before_model)
+  	NoopSeven_after_model(NoopSeven.after_model)
+  	NoopEight_before_model(NoopEight.before_model)
+  	NoopEight_after_model(NoopEight.after_model)
+  	__end__([<p>__end__</p>]):::last
+  	NoopEight_after_model --> NoopSeven_after_model;
+  	NoopEight_before_model -.-> NoopSeven_before_model;
+  	NoopEight_before_model -.-> __end__;
+  	NoopEight_before_model -.-> model_request;
+  	NoopEight_before_model -.-> tools;
+  	NoopSeven_after_model -.-> __end__;
+  	NoopSeven_after_model -.-> tools;
+  	NoopSeven_before_model --> NoopEight_before_model;
+  	__start__ --> NoopSeven_before_model;
+  	model_request --> NoopEight_after_model;
+  	tools -.-> NoopSeven_before_model;
+  	tools -.-> __end__;
+  	classDef default fill:#f2f0ff,line-height:1.2
+  	classDef first fill-opacity:0
+  	classDef last fill:#bfb6fc
+  
+  '''
+# ---
@@ -0,0 +1,298 @@
+from langchain_core.messages import AIMessage, ToolCall
+from syrupy import SnapshotAssertion
+
+from langgraph.agent import create_agent
+from langgraph.agent.types import AgentJump, AgentMiddleware
+from langgraph.checkpoint.base import BaseCheckpointSaver
+from langgraph.checkpoint.memory import InMemorySaver
+from langgraph.constants import END
+from tests.fake_chat import FakeChatModel
+from tests.messages import _AnyIdToolMessage
+
+
+def test_create_agent_diagram(
+    snapshot: SnapshotAssertion,
+):
+    class NoopOne(AgentMiddleware):
+        def before_model(self, state):
+            pass
+
+    class NoopTwo(AgentMiddleware):
+        def before_model(self, state):
+            pass
+
+    class NoopThree(AgentMiddleware):
+        def before_model(self, state):
+            pass
+
+    class NoopFour(AgentMiddleware):
+        def after_model(self, state):
+            pass
+
+    class NoopFive(AgentMiddleware):
+        def after_model(self, state):
+            pass
+
+    class NoopSix(AgentMiddleware):
+        def after_model(self, state):
+            pass
+
+    class NoopSeven(AgentMiddleware):
+        def before_model(self, state):
+            pass
+
+        def after_model(self, state):
+            pass
+
+    class NoopEight(AgentMiddleware):
+        def before_model(self, state):
+            pass
+
+        def after_model(self, state):
+            pass
+
+    class NoopNine(AgentMiddleware):
+        def before_model(self, state):
+            pass
+
+        def after_model(self, state):
+            pass
+
+    agent_zero = create_agent(
+        model=FakeChatModel(messages=[]),
+        tools=[],
+        system_prompt="You are a helpful assistant.",
+    )
+
+    assert agent_zero.compile().get_graph().draw_mermaid() == snapshot
+
+    agent_one = create_agent(
+        model=FakeChatModel(messages=[]),
+        tools=[],
+        system_prompt="You are a helpful assistant.",
+        middleware=[NoopOne()],
+    )
+
+    assert agent_one.compile().get_graph().draw_mermaid() == snapshot
+
+    agent_two = create_agent(
+        model=FakeChatModel(messages=[]),
+        tools=[],
+        system_prompt="You are a helpful assistant.",
+        middleware=[NoopOne(), NoopTwo()],
+    )
+
+    assert agent_two.compile().get_graph().draw_mermaid() == snapshot
+
+    agent_three = create_agent(
+        model=FakeChatModel(messages=[]),
+        tools=[],
+        system_prompt="You are a helpful assistant.",
+        middleware=[NoopOne(), NoopTwo(), NoopThree()],
+    )
+
+    assert agent_three.compile().get_graph().draw_mermaid() == snapshot
+
+    agent_four = create_agent(
+        model=FakeChatModel(messages=[]),
+        tools=[],
+        system_prompt="You are a helpful assistant.",
+        middleware=[NoopFour()],
+    )
+
+    assert agent_four.compile().get_graph().draw_mermaid() == snapshot
+
+    agent_five = create_agent(
+        model=FakeChatModel(messages=[]),
+        tools=[],
+        system_prompt="You are a helpful assistant.",
+        middleware=[NoopFour(), NoopFive()],
+    )
+
+    assert agent_five.compile().get_graph().draw_mermaid() == snapshot
+
+    agent_six = create_agent(
+        model=FakeChatModel(messages=[]),
+        tools=[],
+        system_prompt="You are a helpful assistant.",
+        middleware=[NoopFour(), NoopFive(), NoopSix()],
+    )
+
+    assert agent_six.compile().get_graph().draw_mermaid() == snapshot
+
+    agent_seven = create_agent(
+        model=FakeChatModel(messages=[]),
+        tools=[],
+        system_prompt="You are a helpful assistant.",
+        middleware=[NoopSeven()],
+    )
+
+    assert agent_seven.compile().get_graph().draw_mermaid() == snapshot
+
+    agent_eight = create_agent(
+        model=FakeChatModel(messages=[]),
+        tools=[],
+        system_prompt="You are a helpful assistant.",
+        middleware=[NoopSeven(), NoopEight()],
+    )
+
+    assert agent_eight.compile().get_graph().draw_mermaid() == snapshot
+
+    agent_nine = create_agent(
+        model=FakeChatModel(messages=[]),
+        tools=[],
+        system_prompt="You are a helpful assistant.",
+        middleware=[NoopSeven(), NoopEight(), NoopNine()],
+    )
+
+    assert agent_nine.compile().get_graph().draw_mermaid() == snapshot
+
+
+def test_create_agent_invoke(
+    snapshot: SnapshotAssertion,
+    sync_checkpointer: BaseCheckpointSaver,
+):
+    calls = []
+
+    class NoopSeven(AgentMiddleware):
+        def before_model(self, state):
+            calls.append("NoopSeven.before_model")
+
+        def modify_model_request(self, request, state):
+            calls.append("NoopSeven.modify_model_request")
+            return request
+
+        def after_model(self, state):
+            calls.append("NoopSeven.after_model")
+
+    class NoopEight(AgentMiddleware):
+        def before_model(self, state):
+            calls.append("NoopEight.before_model")
+
+        def modify_model_request(self, request, state):
+            calls.append("NoopEight.modify_model_request")
+            return request
+
+        def after_model(self, state):
+            calls.append("NoopEight.after_model")
+
+    def my_tool(input: str) -> str:
+        """A great tool"""
+        calls.append("my_tool")
+        return input.upper()
+
+    agent_one = create_agent(
+        model=FakeChatModel(
+            messages=[
+                AIMessage(
+                    "",
+                    id="ai1",
+                    tool_calls=[ToolCall(id="1", name="my_tool", args={"input": "yo"})],
+                ),
+                AIMessage(id="ai2", content="Hello, how can I assist you today?"),
+            ]
+        ),
+        tools=[my_tool],
+        system_prompt="You are a helpful assistant.",
+        middleware=[NoopSeven(), NoopEight()],
+    ).compile(checkpointer=sync_checkpointer)
+
+    thread1 = {"configurable": {"thread_id": "1"}}
+    assert agent_one.invoke({"messages": []}, thread1) == {
+        "messages": [
+            AIMessage(
+                content="",
+                additional_kwargs={},
+                response_metadata={},
+                id="ai1",
+                tool_calls=[
+                    {
+                        "name": "my_tool",
+                        "args": {"input": "yo"},
+                        "id": "1",
+                        "type": "tool_call",
+                    }
+                ],
+            ),
+            _AnyIdToolMessage(content="YO", name="my_tool", tool_call_id="1"),
+            AIMessage(
+                content="Hello, how can I assist you today?",
+                additional_kwargs={},
+                response_metadata={},
+                id="ai2",
+            ),
+        ],
+    }
+    assert calls == [
+        "NoopSeven.before_model",
+        "NoopEight.before_model",
+        "NoopSeven.modify_model_request",
+        "NoopEight.modify_model_request",
+        "NoopEight.after_model",
+        "NoopSeven.after_model",
+        "my_tool",
+        "NoopSeven.before_model",
+        "NoopEight.before_model",
+        "NoopSeven.modify_model_request",
+        "NoopEight.modify_model_request",
+        "NoopEight.after_model",
+        "NoopSeven.after_model",
+    ]
+
+
+def test_create_agent_jump(
+    snapshot: SnapshotAssertion,
+    sync_checkpointer: BaseCheckpointSaver,
+):
+    calls = []
+
+    class NoopSeven(AgentMiddleware):
+        def before_model(self, state):
+            calls.append("NoopSeven.before_model")
+
+        def modify_model_request(self, request, state):
+            calls.append("NoopSeven.modify_model_request")
+            return request
+
+        def after_model(self, state):
+            calls.append("NoopSeven.after_model")
+
+    class NoopEight(AgentMiddleware):
+        def before_model(self, state) -> AgentJump:
+            calls.append("NoopEight.before_model")
+            return {"jump_to": END}
+
+        def modify_model_request(self, request, state):
+            calls.append("NoopEight.modify_model_request")
+            return request
+
+        def after_model(self, state):
+            calls.append("NoopEight.after_model")
+
+    def my_tool(input: str) -> str:
+        """A great tool"""
+        calls.append("my_tool")
+        return input.upper()
+
+    agent_one = create_agent(
+        model=FakeChatModel(
+            messages=[
+                AIMessage(
+                    "",
+                    id="ai1",
+                    tool_calls=[ToolCall(id="1", name="my_tool", args={"input": "yo"})],
+                ),
+                AIMessage(id="ai2", content="Hello, how can I assist you today?"),
+            ]
+        ),
+        tools=[my_tool],
+        system_prompt="You are a helpful assistant.",
+        middleware=[NoopSeven(), NoopEight()],
+    ).compile(checkpointer=sync_checkpointer)
+
+    if isinstance(sync_checkpointer, InMemorySaver):
+        assert agent_one.get_graph().draw_mermaid() == snapshot
+
+    thread1 = {"configurable": {"thread_id": "1"}}
+    assert agent_one.invoke({"messages": []}, thread1) == {"messages": []}
+    assert calls == ["NoopSeven.before_model", "NoopEight.before_model"]
@@ -79,151 +79,9 @@ from tests.messages import (

 pytestmark = pytest.mark.anyio

-
-def pregel_pretty(data):
-    """Pretty print pregel nodes, channels, or graph with nice formatting."""
-    if not data:
-        return "Empty"
-    
-    # Check if this is a graph object
-    if hasattr(data, 'nodes') and hasattr(data, 'channels'):
-        # This is a graph object, show comprehensive info
-        result = []
-        
-        # Show nodes
-        result.append("="*50)
-        result.append("🔗 GRAPH NODES")
-        result.append("="*50)
-        for name, node in data.nodes.items():
-            node_type = type(node).__name__
-            result.append(f"  📍 {name:<12} → {node_type}")
-        
-        # Show channels
-        result.append("\n" + "="*50)
-        result.append("📡 GRAPH CHANNELS")
-        result.append("="*50)
-        for name, channel in data.channels.items():
-            channel_type = type(channel).__name__
-            if name in ['hello', 'messages']:
-                result.append(f"  🎯 {name:<20} → {channel_type} (user defined)")
-            elif name.startswith('branch:'):
-                result.append(f"  🌿 {name:<20} → {channel_type} (branch)")
-            else:
-                result.append(f"  ⚙️  {name:<20} → {channel_type} (system)")
-        
-        # Show graph structure
-        result.append("\n" + "="*50)
-        result.append("🏗️  GRAPH STRUCTURE")
-        result.append("="*50)
-        try:
-            graph_info = data.get_graph()
-            result.append(f"  Nodes: {len(graph_info.nodes)}")
-            result.append(f"  Edges: {len(graph_info.edges)}")
-            result.append("\n  📊 Execution Flow:")
-            for edge in graph_info.edges:
-                arrow = "  ├─" if edge != graph_info.edges[-1] else "  └─"
-                result.append(f"{arrow} {edge.source} → {edge.target}")
-        except Exception as e:
-            result.append(f"  Could not get graph structure: {e}")
-        
-        result.append("="*50)
-        return "\n".join(result)
-    
-    # Check if this is nodes or channels dict
-    first_key, first_value = next(iter(data.items()))
-    
-    # Detect if this is nodes or channels
-    is_nodes = hasattr(first_value, '__class__') and 'Node' in first_value.__class__.__name__
-    is_channels = hasattr(first_value, '__class__') and ('Channel' in first_value.__class__.__name__ or 
-                                                         'Value' in first_value.__class__.__name__ or
-                                                         'Topic' in first_value.__class__.__name__ or
-                                                         'Aggregate' in first_value.__class__.__name__)
-    
-    result = []
-    
-    if is_nodes:
-        result.append("="*50)
-        result.append("🔗 GRAPH NODES")
-        result.append("="*50)
-        for name, node in data.items():
-            node_type = type(node).__name__
-            result.append(f"  📍 {name:<12} → {node_type}")
-    
-    elif is_channels:
-        result.append("="*50)
-        result.append("📡 GRAPH CHANNELS")
-        result.append("="*50)
-        for name, channel in data.items():
-            channel_type = type(channel).__name__
-            if name in ['hello', 'messages']:
-                result.append(f"  🎯 {name:<20} → {channel_type} (user defined)")
-            elif name.startswith('branch:'):
-                result.append(f"  🌿 {name:<20} → {channel_type} (branch)")
-            else:
-                result.append(f"  ⚙️  {name:<20} → {channel_type} (system)")
-    
-    else:
-        # Fallback for unknown data types
-        result.append("="*50)
-        result.append("🔍 UNKNOWN DATA TYPE")
-        result.append("="*50)
-        for name, item in data.items():
-            item_type = type(item).__name__
-            result.append(f"  ❓ {name:<20} → {item_type}")
-    
-    result.append("="*50)
-    return "\n".join(result)
-
 logger = logging.getLogger(__name__)


-def test_parallel_nodes() -> None:
-    class State(TypedDict):
-        hello: str
-        messages: Annotated[list[str], add_messages]
-
-    def node_a(state: State) -> State:
-        return {"hello": "world-a", "messages": [_AnyIdHumanMessage(content="hello-a")]}
-
-    def node_b(state: State) -> State:
-        return {"messages": [_AnyIdHumanMessage(content="hello-b")]}
-
-    def node_c(state: State) -> State:
-        return {"messages": [_AnyIdHumanMessage(content="hello-c")]}    
-
-    def node_d(state: State) -> State:
-        return {"hello": "world-d", "messages": [_AnyIdHumanMessage(content="hello-d")]}    
-
-    builder = StateGraph(State)
-    builder.add_node("a", node_a)
-    builder.add_node("b", node_b)
-    builder.add_node("c", node_c)
-    builder.add_node("d", node_d)
-
-    builder.set_entry_point("a")
-    builder.add_edge("a", "b")
-    builder.add_edge("a", "c")
-    builder.add_edge("b", "d")
-    builder.add_edge("c", "d")
-    builder.add_edge("d", END)
-    graph = builder.compile()
-
-    print("\n======COMPLETE GRAPH======\n", pregel_pretty(graph))
-    
-    print(f"\n🔍 CHANNEL CONFIGURATION:")
-    print(f"  📤 output_channels: {graph.output_channels}")
-    print(f"  📡 stream_channels: {graph.stream_channels}")
-    print(f"  📥 input_channels: {graph.input_channels}")
-    print(f"  🌊 stream_channels_asis: {graph.stream_channels_asis}")
-    print(f"  📋 stream_channels_list: {graph.stream_channels_list}")
-
-    result = graph.invoke({"hello": "there"})
-    assert result["hello"] == "world-d"
-    # Only the final message from node_d should be in the result
-    # because each node overwrites the messages field completely
-    assert len(result["messages"]) == 1
-    assert result["messages"][0].content == "hello-d"
-
 def test_graph_validation() -> None:
    class State(TypedDict):
        hello: str
@@ -10,7 +10,6 @@ from langchain_core.runnables import RunnableConfig
 from pydantic import BaseModel
 from typing_extensions import NotRequired, Required, TypedDict

-from langgraph.channels.binop import BinaryOperatorAggregate
 from langgraph.graph.state import StateGraph, _get_node_name, _warn_invalid_state_schema


@@ -138,7 +137,7 @@ def test_state_schema_optional_values(total_: bool):
    class InputState(SomeParentState, total=total_):  # type: ignore
        val1: str
        val2: Optional[str]
-        val3: Required[Annotated[dict, operator.or_]]
+        val3: Required[str]
        val4: NotRequired[dict]
        val5: Annotated[Required[str], "foo"]
        val6: Annotated[NotRequired[str], "bar"]
@@ -160,8 +159,6 @@ def test_state_schema_optional_values(total_: bool):
    graph = builder.compile()
    json_schema = graph.get_input_jsonschema()

-    assert isinstance(graph.channels["val3"], BinaryOperatorAggregate)
-
    if total_ is False:
        expected_required = set()
        expected_optional = {"val2", "val1"}
@@ -194,15 +194,15 @@ wheels = [

 [[package]]
 name = "beautifulsoup4"
-version = "4.13.5"
+version = "4.13.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "soupsieve" },
    { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/85/2e/3e5079847e653b1f6dc647aa24549d68c6addb4c595cc0d902d1b19308ad/beautifulsoup4-4.13.5.tar.gz", hash = "sha256:5e70131382930e7c3de33450a2f54a63d5e4b19386eab43a5b34d594268f3695", size = 622954, upload-time = "2025-08-24T14:06:13.168Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/d8/e4/0c4c39e18fd76d6a628d4dd8da40543d136ce2d1752bd6eeeab0791f4d6b/beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195", size = 621067, upload-time = "2025-04-15T17:05:13.836Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/04/eb/f4151e0c7377a6e08a38108609ba5cede57986802757848688aeedd1b9e8/beautifulsoup4-4.13.5-py3-none-any.whl", hash = "sha256:642085eaa22233aceadff9c69651bc51e8bf3f874fb6d7104ece2beb24b47c4a", size = 105113, upload-time = "2025-08-24T14:06:14.884Z" },
+    { url = "https://files.pythonhosted.org/packages/50/cd/30110dc0ffcf3b131156077b90e9f60ed75711223f306da4db08eff8403b/beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b", size = 187285, upload-time = "2025-04-15T17:05:12.221Z" },
 ]

 [[package]]
@@ -448,97 +448,97 @@ wheels = [

 [[package]]
 name = "coverage"
-version = "7.10.5"
+version = "7.10.4"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/d6/4e/08b493f1f1d8a5182df0044acc970799b58a8d289608e0d891a03e9d269a/coverage-7.10.4.tar.gz", hash = "sha256:25f5130af6c8e7297fd14634955ba9e1697f47143f289e2a23284177c0061d27", size = 823798, upload-time = "2025-08-17T00:26:43.314Z" }
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 [[package]]
@@ -1,424 +0,0 @@
-# Understanding `versions_seen` in LangGraph Checkpoints
-
-## Overview
-
-`versions_seen` is a nested dictionary in the checkpoint that tracks which channel versions each node has processed. It's defined in `libs/checkpoint/langgraph/checkpoint/base/__init__.py`:
-
-```python
-versions_seen: dict[str, ChannelVersions]
-"""Map from node ID to map from channel name to version seen.
-This keeps track of the versions of the channels that each node has seen.
-Used to determine which nodes to execute next.
-"""
-```
-
-## Data Structure
-
-```
-versions_seen = {
-    "node_name": {
-        "channel_name": version,
-        ...
-    },
-    ...
-}
-```
-
-## Key Point
-
-**`versions_seen` only records trigger channels, NOT state channels!**
-
-In StateGraph:
- `triggers` = edge control channels like `branch:to:nodeA`
- `channels` = state keys like `fieldA`, `fieldB`
-
-So `versions_seen` records `branch:to:*` channels, **NOT** `fieldA` or `fieldB`.
-
---
-
-## Example Graph
-
-```
-        ┌──────────┐
-        │  nodeA   │
-        └────┬─────┘
-             │
-      ┌──────┴──────┐
-      ▼             ▼
-┌──────────┐  ┌──────────┐
-│  nodeB   │  │  nodeC   │
-└────┬─────┘  └────┬─────┘
-      │             │
-      └──────┬──────┘
-             ▼
-        ┌──────────┐
-        │  nodeD   │
-        └──────────┘
-```
-
-### State Definition
-
-```python
-class State(TypedDict):
-    fieldA: str
-    fieldB: str
-
-class StateOnlyA(TypedDict):
-    """Input schema for nodeB - only reads fieldA"""
-    fieldA: str
-
-class StateOnlyB(TypedDict):
-    """Input schema for nodeC - only reads fieldB"""
-    fieldB: str
-```
-
---
-
-## Compiled Graph Structure
-
-### Channels Created
-
-| Channel | Type | Purpose |
-|---------|------|---------|
-| `fieldA` | LastValue | State data |
-| `fieldB` | LastValue | State data |
-| `__start__` | EphemeralValue | Input channel |
-| `branch:to:nodeA` | EphemeralValue | Edge control channel |
-| `branch:to:nodeB` | EphemeralValue | Edge control channel |
-| `branch:to:nodeC` | EphemeralValue | Edge control channel |
-| `branch:to:nodeD` | EphemeralValue | Edge control channel |
-| `join:nodeB+nodeC:nodeD` | NamedBarrierValue | Parallel join channel |
-
-### Nodes Configuration
-
-| Node | triggers | channels | Note |
-|------|----------|----------|------|
-| `__start__` | `["__start__"]` | `"__start__"` | Input node |
-| `nodeA` | `["branch:to:nodeA"]` | `["fieldA", "fieldB"]` | Reads full state |
-| `nodeB` | `["branch:to:nodeB"]` | `["fieldA"]` | Only reads fieldA (via `input_schema=StateOnlyA`) |
-| `nodeC` | `["branch:to:nodeC"]` | `["fieldB"]` | Only reads fieldB (via `input_schema=StateOnlyB`) |
-| `nodeD` | `["branch:to:nodeD", "join:nodeB+nodeC:nodeD"]` | `["fieldA", "fieldB"]` | Reads full state |
-
-**Note**: `triggers` are edge control channels, `channels` are state fields the node reads. Use `input_schema` to control which fields a node reads.
-
---
-
-## Step-by-Step Execution
-
-### Input
-
-```python
-{"fieldA": "Hello", "fieldB": "World"}
-```
-
---
-
-### Step -1: Input Phase (source: input)
-
-```
-State values: {}
-
-channel_versions:
-    __start__: v01
-
-versions_seen:
-    __input__: {}
-```
-
-Initial checkpoint when input is received.
-
---
-
-### Step 0: `__start__` executes (source: loop)
-
-```
-State values: {'fieldA': 'Hello', 'fieldB': 'World'}
-
-channel_versions:
-    __start__:        v02
-    branch:to:nodeA:  v02
-    fieldA:           v02
-    fieldB:           v02
-
-versions_seen:
-    __input__: {}
-    __start__:
-        __start__: v01    ← __start__ node saw __start__ channel
-```
-
-**Note**: `fieldA` and `fieldB` are NOT in `versions_seen`!
-
---
-
-### Step 1: nodeA executes (source: loop)
-
-```
-nodeA reads: fieldA='Hello', fieldB='World'
-State values: {'fieldA': 'Hello->A', 'fieldB': 'World->A'}
-
-channel_versions:
-    __start__:        v02
-    branch:to:nodeA:  v03
-    branch:to:nodeB:  v03
-    branch:to:nodeC:  v03
-    fieldA:           v03
-    fieldB:           v03
-
-versions_seen:
-    __input__: {}
-    __start__:
-        __start__: v01
-    nodeA:
-        branch:to:nodeA: v02    ← nodeA saw its trigger
-```
-
-**Key observation**:
- `nodeA`'s `versions_seen` only records `branch:to:nodeA`
- **NO** `fieldA` or `fieldB` because they are NOT triggers!
-
---
-
-### Step 2: nodeB and nodeC execute in parallel (source: loop)
-
-```
-nodeB reads: fieldA='Hello->A'
-nodeC reads: fieldB='World->A'
-State values: {'fieldA': 'Hello->A->B', 'fieldB': 'World->A->C'}
-
-channel_versions:
-    __start__:              v02
-    branch:to:nodeA:        v03
-    branch:to:nodeB:        v04
-    branch:to:nodeC:        v04
-    fieldA:                 v04
-    fieldB:                 v04
-    join:nodeB+nodeC:nodeD: v04
-
-versions_seen:
-    __input__: {}
-    __start__:
-        __start__: v01
-    nodeA:
-        branch:to:nodeA: v02
-    nodeB:
-        branch:to:nodeB: v03    ← nodeB saw its trigger
-    nodeC:
-        branch:to:nodeC: v03    ← nodeC saw its trigger
-```
-
---
-
-### Step 3: nodeD executes (source: loop)
-
-```
-nodeD reads: fieldA='Hello->A->B', fieldB='World->A->C'
-State values: {'fieldA': 'Hello->A->B->D', 'fieldB': 'World->A->C->D'}
-
-channel_versions:
-    __start__:              v02
-    branch:to:nodeA:        v03
-    branch:to:nodeB:        v04
-    branch:to:nodeC:        v04
-    fieldA:                 v05
-    fieldB:                 v05
-    join:nodeB+nodeC:nodeD: v05
-
-versions_seen:
-    __input__: {}
-    __start__:
-        __start__: v01
-    nodeA:
-        branch:to:nodeA: v02
-    nodeB:
-        branch:to:nodeB: v03
-    nodeC:
-        branch:to:nodeC: v03
-    nodeD:
-        join:nodeB+nodeC:nodeD: v04    ← nodeD saw join channel
-```
-
---
-
-## Summary Table
-
-| Node | versions_seen records | Why? |
-|------|----------------------|------|
-| `__start__` | `__start__` | Its trigger is `__start__` |
-| `nodeA` | `branch:to:nodeA` | Its trigger is `branch:to:nodeA` |
-| `nodeB` | `branch:to:nodeB` | Its trigger is `branch:to:nodeB` |
-| `nodeC` | `branch:to:nodeC` | Its trigger is `branch:to:nodeC` |
-| `nodeD` | `join:nodeB+nodeC:nodeD` | One of its triggers (join channel) |
-
---
-
-## Conclusion
-
- `versions_seen` **only records triggers**
- `fieldA` and `fieldB` **never appear** in `versions_seen`
- In StateGraph, triggers are edge control channels (`branch:to:*`), not state fields
- The purpose of `versions_seen` is to **prevent duplicate triggering**, so it only needs to track trigger channel versions
-
---
-
-## Deep Dive: How `versions_seen` Determines the Last Node
-
-### The Problem
-
-When calling `update_state()` without specifying `as_node`, LangGraph needs to figure out which node "last updated" the state. This is done using `versions_seen`.
-
-### The Algorithm
-
-```python
-last_seen_by_node = sorted(
-    (v, n)
-    for n, seen in checkpoint["versions_seen"].items()
-    if n in self.nodes
-    for v in seen.values()
-)
-```
-
-This creates a sorted list of `(version, node_name)` tuples.
-
-### Key Insight: Version = Superstep
-
-**Nodes that execute in the same superstep (parallel execution) will have the same trigger channel version.**
-
-This is because:
-1. Each superstep increments the version counter
-2. All nodes triggered in the same superstep see the same version
-3. So `version` effectively identifies which superstep a node executed in
-
-### Analysis by Step (Using Our Example)
-
-#### Step 1: After nodeA executes
-
-```
-versions_seen:
-    __start__: { __start__: v01 }
-    nodeA:     { branch:to:nodeA: v02 }
-
-last_seen_by_node = [(v01, "__start__"), (v02, "nodeA")]
-
-Check: last[-1][0] != last[-2][0]?
-       v02 != v01? ✅ YES
-
-Result: as_node = "nodeA" (last node in the latest superstep)
-```
-
-#### Step 2: After nodeB and nodeC execute (parallel)
-
-```
-versions_seen:
-    __start__: { __start__: v01 }
-    nodeA:     { branch:to:nodeA: v02 }
-    nodeB:     { branch:to:nodeB: v03 }  ← same version!
-    nodeC:     { branch:to:nodeC: v03 }  ← same version!
-
-last_seen_by_node = [(v01, "__start__"), (v02, "nodeA"), (v03, "nodeB"), (v03, "nodeC")]
-
-Check: last[-1][0] != last[-2][0]?
-       v03 != v03? ❌ NO (same version = same superstep)
-
-Result: AMBIGUOUS! Multiple nodes executed in the last superstep.
-        → Raises InvalidUpdateError("Ambiguous update, specify as_node")
-```
-
-#### Step 3: After nodeD executes
-
-```
-versions_seen:
-    __start__: { __start__: v01 }
-    nodeA:     { branch:to:nodeA: v02 }
-    nodeB:     { branch:to:nodeB: v03 }
-    nodeC:     { branch:to:nodeC: v03 }
-    nodeD:     { join:nodeB+nodeC:nodeD: v04 }
-
-last_seen_by_node = [(v01, "__start__"), (v02, "nodeA"), (v03, "nodeB"), (v03, "nodeC"), (v04, "nodeD")]
-
-Check: last[-1][0] != last[-2][0]?
-       v04 != v03? ✅ YES
-
-Result: as_node = "nodeD" (only node in the latest superstep)
-```
-
-### Summary Table
-
-| Step | Last Two Versions | Same Superstep? | as_node |
-|------|-------------------|-----------------|---------|
-| Step 1 | v02, v01 | No | ✅ nodeA |
-| Step 2 | v03, v03 | **Yes (parallel!)** | ❌ Ambiguous |
-| Step 3 | v04, v03 | No | ✅ nodeD |
-
-### Visual Representation
-
-```
-Superstep Timeline:
-
-  Superstep 0    Superstep 1    Superstep 2    Superstep 3
-  (v01, v02)        (v03)          (v04)          (v05)
-      │               │              │              │
-      ▼               ▼              ▼              ▼
-  ┌────────┐    ┌──────────┐   ┌─────────┐    ┌────────┐
-  │__start__│    │  nodeA   │   │ nodeB   │    │ nodeD  │
-  └────────┘    └──────────┘   │ nodeC   │    └────────┘
-                               │(parallel)│
-                               └─────────┘
-
-When version[-1] == version[-2]:
-  → Multiple nodes in the same superstep
-  → Cannot determine which one was "last"
-  → Ambiguous!
-```
-
-### The Logic Explained
-
-```python
-if last_seen_by_node:
-    if len(last_seen_by_node) == 1:
-        # Only one node ever executed
-        as_node = last_seen_by_node[0][1]
-    elif last_seen_by_node[-1][0] != last_seen_by_node[-2][0]:
-        # Last two have different versions
-        # → Last superstep had only ONE node
-        # → That node is unambiguously the "last" one
-        as_node = last_seen_by_node[-1][1]
-    # else: versions are equal
-    #     → Multiple nodes in the last superstep
-    #     → Ambiguous, will raise error later
-```
-
---
-
-## How Scheduling Works
-
-```python
-def _triggers(channels, versions, seen, null_version, proc) -> bool:
-    for chan in proc.triggers:  # Only checks triggers!
-        if channels[chan].is_available() and \           # Condition 1: channel has value
-           versions.get(chan, null_version) > seen.get(chan, null_version):  # Condition 2: version updated
-            return True
-    return False
-```
-
-Translation:
-> Trigger the node if ANY trigger channel satisfies **BOTH** conditions:
-> 1. `is_available()` - the channel has a value
-> 2. `current_version > seen_version` - the version is newer than what the node has seen
-
-**Important**: Both conditions must be met! This is why `EphemeralValue` channels (like `branch:to:*`) 
-can have their version increase after being consumed, but won't re-trigger the node because 
-`is_available()` returns `False` after consumption.
-
-Since only triggers are checked, only trigger versions need to be recorded in `versions_seen`.
-
---
-
-## Running the Test
-
-To run the test script yourself:
-
-```bash
-cd libs/langgraph
-uv run python test_versions_seen.py
-```
-
@@ -38,6 +38,7 @@ from typing_extensions import Annotated, NotRequired, TypedDict

 from langgraph._internal._runnable import RunnableCallable, RunnableLike
 from langgraph._internal._typing import MISSING
+from langgraph.agent.types import AgentMiddleware
 from langgraph.errors import ErrorCode, create_error_message
 from langgraph.graph import END, StateGraph
 from langgraph.graph.message import add_messages
@@ -261,6 +262,7 @@ def create_react_agent(
    ],
    tools: Union[Sequence[Union[BaseTool, Callable, dict[str, Any]]], ToolNode],
    *,
+    middleware: Sequence[AgentMiddleware] = (),
    prompt: Optional[Prompt] = None,
    response_format: Optional[
        Union[StructuredResponseSchema, tuple[str, StructuredResponseSchema]]
@@ -462,6 +464,32 @@ def create_react_agent(
            print(chunk)
        ```
    """
+    if middleware:
+        assert isinstance(model, str | BaseChatModel)
+        assert isinstance(prompt, str | None)
+        assert not isinstance(response_format, tuple)
+        assert pre_model_hook is None
+        assert post_model_hook is None
+        assert state_schema is None
+
+        from langgraph.agent import create_agent
+
+        return create_agent(
+            model=model,
+            tools=tools,
+            system_prompt=prompt,
+            middleware=middleware,
+            response_format=response_format,
+            context_schema=context_schema,
+        ).compile(
+            checkpointer=checkpointer,
+            store=store,
+            name=name,
+            interrupt_after=interrupt_after,
+            interrupt_before=interrupt_before,
+            debug=debug,
+        )
+
    if (
        config_schema := deprecated_kwargs.pop("config_schema", MISSING)
    ) is not MISSING:
@@ -316,7 +316,7 @@ wheels = [

 [[package]]
 name = "langgraph"
-version = "0.6.7"
+version = "0.6.6"
 source = { editable = "../langgraph" }
 dependencies = [
    { name = "langchain-core" },
@@ -1,6 +1,6 @@
 from langgraph_sdk.auth import Auth
 from langgraph_sdk.client import get_client, get_sync_client

-__version__ = "0.2.6"
+__version__ = "0.2.3"

 __all__ = ["Auth", "get_client", "get_sync_client"]
@@ -400,20 +400,6 @@ class AuthContext(BaseAuthContext):
    """


-class ThreadTTL(typing.TypedDict, total=False):
-    """Time-to-live configuration for a thread.
-
-    Matches the OpenAPI schema where TTL is represented as an object with
-    an optional strategy and a time value in minutes.
-    """
-
-    strategy: typing.Literal["delete"]
-    """TTL strategy. Currently only 'delete' is supported."""
-
-    ttl: int
-    """Time-to-live in minutes from now until the thread should be swept."""
-
-
 class ThreadsCreate(typing.TypedDict, total=False):
    """Parameters for creating a new thread.

@@ -436,9 +422,6 @@ class ThreadsCreate(typing.TypedDict, total=False):
    if_exists: OnConflictBehavior
    """Behavior when a thread with the same ID already exists."""

-    ttl: ThreadTTL
-    """Optional TTL configuration for the thread."""
-

 class ThreadsRead(typing.TypedDict, total=False):
    """Parameters for reading thread state or run information.
@@ -506,9 +489,6 @@ class ThreadsSearch(typing.TypedDict, total=False):
    offset: int
    """Offset for pagination."""

-    ids: Sequence[UUID] | None
-    """typing.Optional list of thread IDs to filter by."""
-
    thread_id: UUID | None
    """typing.Optional thread ID to filter by."""

@@ -15,7 +15,6 @@ import logging
 import os
 import re
 import sys
-import warnings
 from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
 from types import TracebackType
 from typing import (
@@ -46,7 +45,6 @@ from langgraph_sdk.schema import (
    CronSelectField,
    CronSortBy,
    DisconnectMode,
-    Durability,
    GraphSchema,
    IfNotExists,
    Item,
@@ -71,7 +69,6 @@ from langgraph_sdk.schema import (
    ThreadSortBy,
    ThreadState,
    ThreadStatus,
-    ThreadStreamMode,
    ThreadUpdateStateResponse,
 )
 from langgraph_sdk.sse import SSEDecoder, aiter_lines_raw, iter_lines_raw
@@ -157,38 +154,27 @@ def get_client(
    headers: Mapping[str, str] | None = None,
    timeout: TimeoutTypes | None = None,
 ) -> LangGraphClient:
-    """Create and configure a LangGraphClient.
-
-    The client provides programmatic access to a LangGraph Platform deployment. It supports
-    both remote servers and local in-process connections (when running inside a LangGraph server).
+    """Get a LangGraphClient instance.

    Args:
-        url:
-            Base URL of the LangGraph API.
-            – If `None`, the client first attempts an in-process connection via ASGI transport.
-              If that fails, it falls back to `http://localhost:8123`.
-        api_key:
-            API key for authentication. If omitted, the client reads from environment
-            variables in the following order:
-              1. Function argument
-              2. `LANGGRAPH_API_KEY`
-              3. `LANGSMITH_API_KEY`
-              4. `LANGCHAIN_API_KEY`
-        headers:
-            Additional HTTP headers to include in requests. Merged with authentication headers.
-        timeout:
-            HTTP timeout configuration. May be:
-              – `httpx.Timeout` instance
-              – float (total seconds)
-              – tuple `(connect, read, write, pool)` in seconds
-            Defaults: connect=5, read=300, write=300, pool=5.
+        url: The URL of the LangGraph API.
+        api_key: The API key. If not provided, it will be read from the environment.
+            Precedence:
+                1. explicit argument
+                2. LANGGRAPH_API_KEY
+                3. LANGSMITH_API_KEY
+                4. LANGCHAIN_API_KEY
+        headers: Optional custom headers
+        timeout: Optional timeout configuration for the HTTP client.
+            Accepts an httpx.Timeout instance, a float (seconds), or a tuple of timeouts.
+            Tuple format is (connect, read, write, pool)
+            If not provided, defaults to connect=5s, read=300s, write=300s, and pool=5s.

    Returns:
-        LangGraphClient:
-            A top-level client exposing sub-clients for assistants, threads,
-            runs, and cron operations.
+        LangGraphClient: The top-level client for accessing AssistantsClient,
+        ThreadsClient, RunsClient, and CronClient.

-    ???+ example "Connect to a remote server:"
+    ???+ example "Example"

        ```python
        from langgraph_sdk import get_client
@@ -199,21 +185,6 @@ def get_client(
        # example usage: client.<model>.<method_name>()
        assistants = await client.assistants.get(assistant_id="some_uuid")
        ```
-
-    ???+ example "Connect in-process to a running LangGraph server:"
-
-        ```python
-        from langgraph_sdk import get_client
-
-        client = get_client(url=None)
-
-        async def my_node(...):
-            subagent_result = await client.runs.wait(
-                thread_id=None,
-                assistant_id="agent",
-                input={"messages": [{"role": "user", "content": "Foo"}]},
-            )
-        ```
    """

    transport: httpx.AsyncBaseTransport | None = None
@@ -1205,7 +1176,6 @@ class ThreadsClient:
        if_exists: OnConflictBehavior | None = None,
        supersteps: Sequence[dict[str, Sequence[dict[str, Any]]]] | None = None,
        graph_id: str | None = None,
-        ttl: int | Mapping[str, Any] | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
    ) -> Thread:
@@ -1220,9 +1190,6 @@ class ThreadsClient:
            supersteps: Apply a list of supersteps when creating a thread, each containing a sequence of updates.
                Each update has `values` or `command` and `as_node`. Used for copying a thread between deployments.
            graph_id: Optional graph ID to associate with the thread.
-            ttl: Optional time-to-live in minutes for the thread. You can pass an
-                integer (minutes) or a mapping with keys `ttl` and optional
-                `strategy` (defaults to "delete").
            headers: Optional custom headers to include with the request.
            params: Optional query parameters to include with the request.

@@ -1264,11 +1231,6 @@ class ThreadsClient:
                }
                for s in supersteps
            ]
-        if ttl is not None:
-            if isinstance(ttl, (int, float)):
-                payload["ttl"] = {"ttl": ttl, "strategy": "delete"}
-            else:
-                payload["ttl"] = ttl

        return await self.http.post(
            "/threads", json=payload, headers=headers, params=params
@@ -1279,7 +1241,6 @@ class ThreadsClient:
        thread_id: str,
        *,
        metadata: Mapping[str, Any],
-        ttl: int | Mapping[str, Any] | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
    ) -> Thread:
@@ -1288,9 +1249,6 @@ class ThreadsClient:
        Args:
            thread_id: ID of thread to update.
            metadata: Metadata to merge with existing thread metadata.
-            ttl: Optional time-to-live in minutes for the thread. You can pass an
-                integer (minutes) or a mapping with keys `ttl` and optional
-                `strategy` (defaults to "delete").
            headers: Optional custom headers to include with the request.
            params: Optional query parameters to include with the request.

@@ -1304,19 +1262,12 @@ class ThreadsClient:
            thread = await client.threads.update(
                thread_id="my-thread-id",
                metadata={"number":1},
-                ttl=43_200,
            )
            ```
        """  # noqa: E501
-        payload: dict[str, Any] = {"metadata": metadata}
-        if ttl is not None:
-            if isinstance(ttl, (int, float)):
-                payload["ttl"] = {"ttl": ttl, "strategy": "delete"}
-            else:
-                payload["ttl"] = ttl
        return await self.http.patch(
            f"/threads/{thread_id}",
-            json=payload,
+            json={"metadata": metadata},
            headers=headers,
            params=params,
        )
@@ -1355,7 +1306,6 @@ class ThreadsClient:
        *,
        metadata: Json = None,
        values: Json = None,
-        ids: Sequence[str] | None = None,
        status: ThreadStatus | None = None,
        limit: int = 10,
        offset: int = 0,
@@ -1370,7 +1320,6 @@ class ThreadsClient:
        Args:
            metadata: Thread metadata to filter on.
            values: State values to filter on.
-            ids: List of thread IDs to filter by.
            status: Thread status to filter on.
                Must be one of 'idle', 'busy', 'interrupted' or 'error'.
            limit: Limit on number of threads to return.
@@ -1404,8 +1353,6 @@ class ThreadsClient:
            payload["metadata"] = metadata
        if values:
            payload["values"] = values
-        if ids:
-            payload["ids"] = ids
        if status:
            payload["status"] = status
        if sort_by:
@@ -1735,53 +1682,6 @@ class ThreadsClient:
            params=params,
        )

-    async def join_stream(
-        self,
-        thread_id: str,
-        *,
-        last_event_id: str | None = None,
-        stream_mode: ThreadStreamMode | Sequence[ThreadStreamMode] = "run_modes",
-        headers: Mapping[str, str] | None = None,
-        params: QueryParamTypes | None = None,
-    ) -> AsyncIterator[StreamPart]:
-        """Get a stream of events for a thread.
-
-        Args:
-            thread_id: The ID of the thread to get the stream for.
-            last_event_id: The ID of the last event to get.
-            headers: Optional custom headers to include with the request.
-            params: Optional query parameters to include with the request.
-
-        Returns:
-            Iterator[StreamPart]: An iterator of stream parts.
-
-        ???+ example "Example Usage"
-
-            ```python
-
-            for chunk in client.threads.join_stream(
-                thread_id="my_thread_id",
-                last_event_id="my_event_id",
-            ):
-                print(chunk)
-            ```
-
-        """  # noqa: E501
-        query_params = {
-            "stream_mode": stream_mode,
-        }
-        if params:
-            query_params.update(params)
-        return self.http.stream(
-            f"/threads/{thread_id}/stream",
-            "GET",
-            headers={
-                **({"Last-Event-ID": last_event_id} if last_event_id else {}),
-                **(headers or {}),
-            },
-            params=query_params,
-        )
-

 class RunsClient:
    """Client for managing runs in LangGraph.
@@ -1872,7 +1772,7 @@ class RunsClient:
        context: Context | None = None,
        checkpoint: Checkpoint | None = None,
        checkpoint_id: str | None = None,
-        checkpoint_during: bool | None = None,  # deprecated
+        checkpoint_during: bool | None = None,
        interrupt_before: All | Sequence[str] | None = None,
        interrupt_after: All | Sequence[str] | None = None,
        feedback_keys: Sequence[str] | None = None,
@@ -1885,7 +1785,6 @@ class RunsClient:
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
-        durability: Durability | None = None,
    ) -> AsyncIterator[StreamPart]:
        """Create a run and stream the results.

@@ -1905,7 +1804,7 @@ class RunsClient:
            context: Static context to add to the assistant.
                !!! version-added "Supported with langgraph>=0.6.0"
            checkpoint: The checkpoint to resume from.
-            checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption).
+            checkpoint_during: Whether to checkpoint during the run (or only at the end/interruption).
            interrupt_before: Nodes to interrupt immediately before they get executed.
            interrupt_after: Nodes to Nodes to interrupt immediately after they get executed.
            feedback_keys: Feedback keys to assign to run.
@@ -1923,10 +1822,6 @@ class RunsClient:
            headers: Optional custom headers to include with the request.
            params: Optional query parameters to include with the request.
            on_run_created: Callback when a run is created.
-            durability: The durability to use for the run. Values are "sync", "async", or "exit".
-                "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
-                "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
-                "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps

        Returns:
            AsyncIterator[StreamPart]: Asynchronous iterator of stream results.
@@ -1962,13 +1857,6 @@ class RunsClient:
            ```

        """  # noqa: E501
-        if checkpoint_during is not None:
-            warnings.warn(
-                "`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
-
        payload = {
            "input": input,
            "command": (
@@ -1993,7 +1881,6 @@ class RunsClient:
            "on_disconnect": on_disconnect,
            "on_completion": on_completion,
            "after_seconds": after_seconds,
-            "durability": durability,
        }
        endpoint = (
            f"/threads/{thread_id}/runs/stream"
@@ -2084,7 +1971,7 @@ class RunsClient:
        context: Context | None = None,
        checkpoint: Checkpoint | None = None,
        checkpoint_id: str | None = None,
-        checkpoint_during: bool | None = None,  # deprecated
+        checkpoint_during: bool | None = None,
        interrupt_before: All | Sequence[str] | None = None,
        interrupt_after: All | Sequence[str] | None = None,
        webhook: str | None = None,
@@ -2095,7 +1982,6 @@ class RunsClient:
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
-        durability: Durability | None = None,
    ) -> Run:
        """Create a background run.

@@ -2115,7 +2001,7 @@ class RunsClient:
            context: Static context to add to the assistant.
                !!! version-added "Supported with langgraph>=0.6.0"
            checkpoint: The checkpoint to resume from.
-            checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption).
+            checkpoint_during: Whether to checkpoint during the run (or only at the end/interruption).
            interrupt_before: Nodes to interrupt immediately before they get executed.
            interrupt_after: Nodes to Nodes to interrupt immediately after they get executed.
            webhook: Webhook to call after LangGraph API call is done.
@@ -2129,10 +2015,6 @@ class RunsClient:
                Use to schedule future runs.
            headers: Optional custom headers to include with the request.
            on_run_created: Optional callback to call when a run is created.
-            durability: The durability to use for the run. Values are "sync", "async", or "exit".
-                "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
-                "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
-                "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps

        Returns:
            Run: The created background run.
@@ -2208,12 +2090,6 @@ class RunsClient:
            }
            ```
        """  # noqa: E501
-        if checkpoint_during is not None:
-            warnings.warn(
-                "`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
        payload = {
            "input": input,
            "command": (
@@ -2236,7 +2112,6 @@ class RunsClient:
            "if_not_exists": if_not_exists,
            "on_completion": on_completion,
            "after_seconds": after_seconds,
-            "durability": durability,
        }
        payload = {k: v for k, v in payload.items() if v is not None}

@@ -2334,7 +2209,7 @@ class RunsClient:
        context: Context | None = None,
        checkpoint: Checkpoint | None = None,
        checkpoint_id: str | None = None,
-        checkpoint_during: bool | None = None,  # deprecated
+        checkpoint_during: bool | None = None,
        interrupt_before: All | Sequence[str] | None = None,
        interrupt_after: All | Sequence[str] | None = None,
        webhook: str | None = None,
@@ -2347,7 +2222,6 @@ class RunsClient:
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
-        durability: Durability | None = None,
    ) -> list[dict] | dict[str, Any]:
        """Create a run, wait until it finishes and return the final state.

@@ -2363,7 +2237,7 @@ class RunsClient:
            context: Static context to add to the assistant.
                !!! version-added "Supported with langgraph>=0.6.0"
            checkpoint: The checkpoint to resume from.
-            checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption).
+            checkpoint_during: Whether to checkpoint during the run (or only at the end/interruption).
            interrupt_before: Nodes to interrupt immediately before they get executed.
            interrupt_after: Nodes to Nodes to interrupt immediately after they get executed.
            webhook: Webhook to call after LangGraph API call is done.
@@ -2379,10 +2253,6 @@ class RunsClient:
                Use to schedule future runs.
            headers: Optional custom headers to include with the request.
            on_run_created: Optional callback to call when a run is created.
-            durability: The durability to use for the run. Values are "sync", "async", or "exit".
-                "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
-                "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
-                "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps

        Returns:
            Union[list[dict], dict[str, Any]]: The output of the run.
@@ -2436,12 +2306,6 @@ class RunsClient:
            ```

        """  # noqa: E501
-        if checkpoint_during is not None:
-            warnings.warn(
-                "`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
        payload = {
            "input": input,
            "command": (
@@ -2462,7 +2326,6 @@ class RunsClient:
            "on_disconnect": on_disconnect,
            "on_completion": on_completion,
            "after_seconds": after_seconds,
-            "durability": durability,
        }
        endpoint = (
            f"/threads/{thread_id}/runs/wait" if thread_id is not None else "/runs/wait"
@@ -4378,7 +4241,6 @@ class SyncThreadsClient:
        if_exists: OnConflictBehavior | None = None,
        supersteps: Sequence[dict[str, Sequence[dict[str, Any]]]] | None = None,
        graph_id: str | None = None,
-        ttl: int | Mapping[str, Any] | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
    ) -> Thread:
@@ -4393,9 +4255,6 @@ class SyncThreadsClient:
            supersteps: Apply a list of supersteps when creating a thread, each containing a sequence of updates.
                Each update has `values` or `command` and `as_node`. Used for copying a thread between deployments.
            graph_id: Optional graph ID to associate with the thread.
-            ttl: Optional time-to-live in minutes for the thread. You can pass an
-                integer (minutes) or a mapping with keys `ttl` and optional
-                `strategy` (defaults to "delete").
            headers: Optional custom headers to include with the request.

        Returns:
@@ -4437,11 +4296,6 @@ class SyncThreadsClient:
                }
                for s in supersteps
            ]
-        if ttl is not None:
-            if isinstance(ttl, (int, float)):
-                payload["ttl"] = {"ttl": ttl, "strategy": "delete"}
-            else:
-                payload["ttl"] = ttl

        return self.http.post("/threads", json=payload, headers=headers, params=params)

@@ -4450,7 +4304,6 @@ class SyncThreadsClient:
        thread_id: str,
        *,
        metadata: Mapping[str, Any],
-        ttl: int | Mapping[str, Any] | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
    ) -> Thread:
@@ -4459,11 +4312,7 @@ class SyncThreadsClient:
        Args:
            thread_id: ID of thread to update.
            metadata: Metadata to merge with existing thread metadata.
-            ttl: Optional time-to-live in minutes for the thread. You can pass an
-                integer (minutes) or a mapping with keys `ttl` and optional
-                `strategy` (defaults to "delete").
            headers: Optional custom headers to include with the request.
-            params: Optional query parameters to include with the request.

        Returns:
            Thread: The created thread.
@@ -4475,19 +4324,12 @@ class SyncThreadsClient:
            thread = client.threads.update(
                thread_id="my-thread-id",
                metadata={"number":1},
-                ttl=43_200,
            )
            ```
        """  # noqa: E501
-        payload: dict[str, Any] = {"metadata": metadata}
-        if ttl is not None:
-            if isinstance(ttl, (int, float)):
-                payload["ttl"] = {"ttl": ttl, "strategy": "delete"}
-            else:
-                payload["ttl"] = ttl
        return self.http.patch(
            f"/threads/{thread_id}",
-            json=payload,
+            json={"metadata": metadata},
            headers=headers,
            params=params,
        )
@@ -4525,7 +4367,6 @@ class SyncThreadsClient:
        *,
        metadata: Json = None,
        values: Json = None,
-        ids: Sequence[str] | None = None,
        status: ThreadStatus | None = None,
        limit: int = 10,
        offset: int = 0,
@@ -4540,7 +4381,6 @@ class SyncThreadsClient:
        Args:
            metadata: Thread metadata to filter on.
            values: State values to filter on.
-            ids: List of thread IDs to filter by.
            status: Thread status to filter on.
                Must be one of 'idle', 'busy', 'interrupted' or 'error'.
            limit: Limit on number of threads to return.
@@ -4570,8 +4410,6 @@ class SyncThreadsClient:
            payload["metadata"] = metadata
        if values:
            payload["values"] = values
-        if ids:
-            payload["ids"] = ids
        if status:
            payload["status"] = status
        if sort_by:
@@ -4895,54 +4733,6 @@ class SyncThreadsClient:
            params=params,
        )

-    def join_stream(
-        self,
-        thread_id: str,
-        *,
-        stream_mode: ThreadStreamMode | Sequence[ThreadStreamMode] = "run_modes",
-        last_event_id: str | None = None,
-        headers: Mapping[str, str] | None = None,
-        params: QueryParamTypes | None = None,
-    ) -> Iterator[StreamPart]:
-        """Get a stream of events for a thread.
-
-        Args:
-            thread_id: The ID of the thread to get the stream for.
-            last_event_id: The ID of the last event to get.
-            headers: Optional custom headers to include with the request.
-            params: Optional query parameters to include with the request.
-
-        Returns:
-            Iterator[StreamPart]: An iterator of stream parts.
-
-        ???+ example "Example Usage"
-
-            ```python
-
-            for chunk in client.threads.join_stream(
-                thread_id="my_thread_id",
-                last_event_id="my_event_id",
-                stream_mode="run_modes",
-            ):
-                print(chunk)
-            ```
-
-        """  # noqa: E501
-        query_params = {
-            "stream_mode": stream_mode,
-        }
-        if params:
-            query_params.update(params)
-        return self.http.stream(
-            f"/threads/{thread_id}/stream",
-            "GET",
-            headers={
-                **({"Last-Event-ID": last_event_id} if last_event_id else {}),
-                **(headers or {}),
-            },
-            params=query_params,
-        )
-

 class SyncRunsClient:
    """Synchronous client for managing runs in LangGraph.
@@ -5033,7 +4823,7 @@ class SyncRunsClient:
        context: Context | None = None,
        checkpoint: Checkpoint | None = None,
        checkpoint_id: str | None = None,
-        checkpoint_during: bool | None = None,  # deprecated
+        checkpoint_during: bool | None = None,
        interrupt_before: All | Sequence[str] | None = None,
        interrupt_after: All | Sequence[str] | None = None,
        feedback_keys: Sequence[str] | None = None,
@@ -5046,7 +4836,6 @@ class SyncRunsClient:
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
-        durability: Durability | None = None,
    ) -> Iterator[StreamPart]:
        """Create a run and stream the results.

@@ -5066,7 +4855,7 @@ class SyncRunsClient:
            context: Static context to add to the assistant.
                !!! version-added "Supported with langgraph>=0.6.0"
            checkpoint: The checkpoint to resume from.
-            checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption).
+            checkpoint_during: Whether to checkpoint during the run (or only at the end/interruption).
            interrupt_before: Nodes to interrupt immediately before they get executed.
            interrupt_after: Nodes to Nodes to interrupt immediately after they get executed.
            feedback_keys: Feedback keys to assign to run.
@@ -5083,11 +4872,6 @@ class SyncRunsClient:
                Use to schedule future runs.
            headers: Optional custom headers to include with the request.
            on_run_created: Optional callback to call when a run is created.
-            durability: The durability to use for the run. Values are "sync", "async", or "exit".
-                "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
-                "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
-                "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps
-

        Returns:
            Iterator[StreamPart]: Iterator of stream results.
@@ -5120,12 +4904,6 @@ class SyncRunsClient:
            StreamPart(event='end', data=None)
            ```
        """  # noqa: E501
-        if checkpoint_during is not None:
-            warnings.warn(
-                "`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
        payload = {
            "input": input,
            "command": (
@@ -5150,7 +4928,6 @@ class SyncRunsClient:
            "on_disconnect": on_disconnect,
            "on_completion": on_completion,
            "after_seconds": after_seconds,
-            "durability": durability,
        }
        endpoint = (
            f"/threads/{thread_id}/runs/stream"
@@ -5241,7 +5018,7 @@ class SyncRunsClient:
        context: Context | None = None,
        checkpoint: Checkpoint | None = None,
        checkpoint_id: str | None = None,
-        checkpoint_during: bool | None = None,  # deprecated
+        checkpoint_during: bool | None = None,
        interrupt_before: All | Sequence[str] | None = None,
        interrupt_after: All | Sequence[str] | None = None,
        webhook: str | None = None,
@@ -5252,7 +5029,6 @@ class SyncRunsClient:
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
-        durability: Durability | None = None,
    ) -> Run:
        """Create a background run.

@@ -5272,7 +5048,7 @@ class SyncRunsClient:
            context: Static context to add to the assistant.
                !!! version-added "Supported with langgraph>=0.6.0"
            checkpoint: The checkpoint to resume from.
-            checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption).
+            checkpoint_during: Whether to checkpoint during the run (or only at the end/interruption).
            interrupt_before: Nodes to interrupt immediately before they get executed.
            interrupt_after: Nodes to Nodes to interrupt immediately after they get executed.
            webhook: Webhook to call after LangGraph API call is done.
@@ -5286,10 +5062,6 @@ class SyncRunsClient:
                Use to schedule future runs.
            headers: Optional custom headers to include with the request.
            on_run_created: Optional callback to call when a run is created.
-            durability: The durability to use for the run. Values are "sync", "async", or "exit".
-                "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
-                "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
-                "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps

        Returns:
            Run: The created background run.
@@ -5365,12 +5137,6 @@ class SyncRunsClient:
            }
            ```
        """  # noqa: E501
-        if checkpoint_during is not None:
-            warnings.warn(
-                "`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
        payload = {
            "input": input,
            "command": (
@@ -5393,7 +5159,6 @@ class SyncRunsClient:
            "if_not_exists": if_not_exists,
            "on_completion": on_completion,
            "after_seconds": after_seconds,
-            "durability": durability,
        }
        payload = {k: v for k, v in payload.items() if v is not None}

@@ -5489,7 +5254,7 @@ class SyncRunsClient:
        metadata: Mapping[str, Any] | None = None,
        config: Config | None = None,
        context: Context | None = None,
-        checkpoint_during: bool | None = None,  # deprecated
+        checkpoint_during: bool | None = None,
        checkpoint: Checkpoint | None = None,
        checkpoint_id: str | None = None,
        interrupt_before: All | Sequence[str] | None = None,
@@ -5504,7 +5269,6 @@ class SyncRunsClient:
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
-        durability: Durability | None = None,
    ) -> list[dict] | dict[str, Any]:
        """Create a run, wait until it finishes and return the final state.

@@ -5520,7 +5284,7 @@ class SyncRunsClient:
            context: Static context to add to the assistant.
                !!! version-added "Supported with langgraph>=0.6.0"
            checkpoint: The checkpoint to resume from.
-            checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption).
+            checkpoint_during: Whether to checkpoint during the run (or only at the end/interruption).
            interrupt_before: Nodes to interrupt immediately before they get executed.
            interrupt_after: Nodes to Nodes to interrupt immediately after they get executed.
            webhook: Webhook to call after LangGraph API call is done.
@@ -5537,10 +5301,6 @@ class SyncRunsClient:
            raise_error: Whether to raise an error if the run fails.
            headers: Optional custom headers to include with the request.
            on_run_created: Optional callback to call when a run is created.
-            durability: The durability to use for the run. Values are "sync", "async", or "exit".
-                "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
-                "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
-                "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps

        Returns:
            Union[list[dict], dict[str, Any]]: The output of the run.
@@ -5595,12 +5355,6 @@ class SyncRunsClient:
            ```

        """  # noqa: E501
-        if checkpoint_during is not None:
-            warnings.warn(
-                "`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
        payload = {
            "input": input,
            "command": (
@@ -5622,7 +5376,6 @@ class SyncRunsClient:
            "on_completion": on_completion,
            "after_seconds": after_seconds,
            "raise_error": raise_error,
-            "durability": durability,
        }

        def on_response(res: httpx.Response):
@@ -38,14 +38,6 @@ Represents the status of a thread:
 - "error": An exception occurred during task processing.
 """

-ThreadStreamMode = Literal["run_modes", "lifecycle", "state_update"]
-"""
-Defines the mode of streaming:
- "run_modes": Stream the same events as the runs on thread, as well as run_done events.
- "lifecycle": Stream only run start/end events.
- "state_update": Stream state updates on the thread.
-"""
-
 StreamMode = Literal[
    "values",
    "messages",
@@ -99,12 +91,6 @@ Defines action after completion:
 - "keep": Retain resources after completion.
 """

-Durability = Literal["sync", "async", "exit"]
-"""Durability mode for the graph execution.
- `"sync"`: Changes are persisted synchronously before the next step starts.
- `"async"`: Changes are persisted asynchronously while the next step executes.
- `"exit"`: Changes are persisted only when the graph exits."""
-
 All = Literal["*"]
 """Represents a wildcard or 'all' selector."""

@@ -1,153 +0,0 @@
-# LangGraph Channel Types Usage Analysis
-
-本文档分析了 LangGraph 中各种通道类型在 StateGraph 中的使用情况，基于对整个仓库的深入分析。
-
-## 通道类型使用总结
-
-### 1. **LastValue** - 最常用的默认通道
-**使用场景：** 普通状态字段的默认通道类型
-**创建方式：** 自动创建（fallback）
-**仓库例子：**
-```python
-class State(TypedDict):
-    hello: str  # 自动创建 LastValue(str) 通道
-    count: int  # 自动创建 LastValue(int) 通道
-```
-
-### 2. **BinaryOperatorAggregate** - 状态聚合通道
-**使用场景：** 使用 reducer 函数进行状态聚合
-**创建方式：** 通过 `Annotated[Type, reducer_function]`
-**仓库例子：**
-```python
-# 例子1: 使用 add_messages
-class State(TypedDict):
-    messages: Annotated[list[str], add_messages]  # 创建 BinaryOperatorAggregate
-
-# 例子2: 使用 operator.add
-StateGraph(Annotated[str, operator.add])  # 整个状态使用聚合
-StateGraph(Annotated[list, operator.add])  # 列表聚合
-
-# 例子3: 使用 operator.or_
-class State(TypedDict):
-    val3: Required[Annotated[dict, operator.or_]]  # 字典合并
-```
-
-### 3. **EphemeralValue** - 临时通道
-**使用场景：** 系统内部使用，节点间的临时通信
-**创建方式：** 系统自动创建
-**仓库例子：**
-```python
-# StateGraph.compile() 中自动创建
-START: EphemeralValue(self.input_schema)  # 输入通道
-
-# CompiledStateGraph.attach_node() 中创建
-EphemeralValue(Any, guard=False)  # 节点分支通道
-```
-
-### 4. **LastValueAfterFinish** - 延迟通道
-**使用场景：** 节点设置了 `defer=True` 时使用
-**创建方式：** 系统根据节点配置自动创建
-**仓库例子：**
-```python
-# CompiledStateGraph.attach_node() 中
-if node.defer:
-    LastValueAfterFinish(Any)  # 延迟节点的分支通道
-```
-
-### 5. **NamedBarrierValue** - 同步屏障通道
-**使用场景：** 多个节点汇聚到一个节点时的同步
-**创建方式：** 系统在处理 waiting_edges 时自动创建
-**仓库例子：**
-```python
-# CompiledStateGraph.attach_edge() 中
-channel_name = f"join:{'+'.join(starts)}:{end}"
-self.channels[channel_name] = NamedBarrierValue(str, set(starts))
-```
-
-### 6. **NamedBarrierValueAfterFinish** - 延迟同步屏障通道
-**使用场景：** 延迟节点的多节点汇聚同步
-**创建方式：** 系统在处理延迟节点的 waiting_edges 时自动创建
-**仓库例子：**
-```python
-# CompiledStateGraph.attach_edge() 中
-if self.builder.nodes[end].defer:
-    self.channels[channel_name] = NamedBarrierValueAfterFinish(str, set(starts))
-```
-
-### 7. **Topic** - 发布订阅通道
-**使用场景：** 仅在直接使用 Pregel 时手动创建，StateGraph 中无实际使用
-**创建方式：** 手动创建或系统内部 TASKS 通道
-**仓库例子：**
-```python
-# Pregel.__init__() 中系统创建
-self.channels[TASKS] = Topic(Send, accumulate=False)
-
-# 直接 Pregel 使用（非 StateGraph）
-app = Pregel(
-    channels={"c": Topic(str, accumulate=True)},  # 手动创建
-    # ...
-)
-```
-
-### 8. **UntrackedValue** - 未追踪通道
-**使用场景：** 在仓库中未找到实际使用例子
-**创建方式：** 需要手动创建
-**状态：** 理论存在但实际未使用
-
-### 9. **AnyValue** - 任意值通道
-**使用场景：** 在仓库中未找到实际使用例子
-**创建方式：** 需要手动创建
-**状态：** 理论存在但实际未使用
-
-## 使用模式总结
-
-### **用户显式创建的通道：**
-1. **BinaryOperatorAggregate** - 通过 `Annotated[Type, reducer]`
-2. **Topic** - 仅在直接 Pregel API 中手动创建
-
-### **系统自动创建的通道：**
-1. **LastValue** - 默认通道类型
-2. **EphemeralValue** - 输入和分支通道
-3. **LastValueAfterFinish** - 延迟节点分支
-4. **NamedBarrierValue** - 多节点汇聚同步
-5. **NamedBarrierValueAfterFinish** - 延迟节点汇聚同步
-
-### **实际使用频率：**
-1. **高频使用：** LastValue, BinaryOperatorAggregate, EphemeralValue
-2. **中频使用：** NamedBarrierValue, LastValueAfterFinish
-3. **低频使用：** Topic（仅系统内部）
-4. **未使用：** UntrackedValue, AnyValue
-
-## 通道创建机制
-
-### 自动创建流程
-1. **StateGraph._add_schema()** - 解析状态类型
-2. **_get_channels()** - 提取类型注解
-3. **_get_channel()** - 判断通道类型：
-   - 检查 Managed Value
-   - 检查 Channel（如 Topic）
-   - 检查 BinaryOperator（如 add_messages）
-   - 默认创建 LastValue
-
-### 编译时创建
- **START 通道：** `EphemeralValue(input_schema)`
- **分支通道：** `EphemeralValue(Any, guard=False)` 或 `LastValueAfterFinish(Any)`
- **汇聚通道：** `NamedBarrierValue` 或 `NamedBarrierValueAfterFinish`
-
-## 设计哲学
-
-**StateGraph 主要关注状态管理，大部分通道类型都是系统自动管理的，用户只需要关心状态结构和聚合逻辑**。只有在需要特殊聚合行为时，用户才需要显式使用 `Annotated` 注解来指定 reducer 函数。
-
-## 关键发现
-
-1. **Topic 通道在 StateGraph 中几乎不使用** - 仓库中没有通过状态 Schema 注解创建 Topic 的实际例子
-2. **BinaryOperatorAggregate 是用户最常显式创建的通道** - 通过 `add_messages` 等 reducer 函数
-3. **大部分通道都是系统内部自动管理** - 用户无需关心底层通道实现
-4. **StateGraph 和直接 Pregel 的使用场景不同** - StateGraph 专注状态管理，Pregel 专注消息传递
-
-## 实际代码位置
-
- **通道创建逻辑：** `libs/langgraph/langgraph/graph/state.py:1299-1388`
- **编译时通道管理：** `libs/langgraph/langgraph/graph/state.py:856-894`
- **节点附加逻辑：** `libs/langgraph/langgraph/graph/state.py:935-1067`
- **边处理逻辑：** `libs/langgraph/langgraph/graph/state.py:1038-1062`
Author	SHA1	Message	Date
Sydney Runkle	f26ca07716	minimalistic tool registration	2025-09-04 16:05:08 -04:00
Sydney Runkle	b250823532	tool and model calls	2025-09-04 10:15:03 -04:00
Sydney Runkle	120d34303d	adding model calls	2025-09-04 09:59:45 -04:00
Sydney Runkle	6ff9e4a764	limiting calls	2025-09-04 09:43:53 -04:00
Sydney Runkle	3c36d2e2c8	initial test for swarm	2025-09-03 15:27:13 -04:00
Sydney Runkle	f6d0382d66	more swarm progress	2025-09-03 15:14:33 -04:00
Sydney Runkle	0386fe5f6a	swarm	2025-09-03 13:43:47 -04:00
Sydney Runkle	b11ece823b	first pass at modify as new node	2025-09-03 13:06:26 -04:00
Nuno Campos	46ce6ad927	Add State property	2025-09-03 14:43:46 +01:00
Nuno Campos	0c929e62eb	Rename to AgentJump	2025-09-01 09:57:52 +01:00
Nuno Campos	88c434048f	Add middleware arg to create_react_agent	2025-08-29 17:07:50 +01:00
Nuno Campos	f67a089a68	Rename goto to jump_to	2025-08-27 15:52:01 +01:00
Harrison Chase	cc97fad7e5	cr	2025-08-26 20:26:34 -07:00
Nuno Campos	75c73369a3	Add structured response to agent output	2025-08-26 10:03:12 +01:00
Nuno Campos	fdbcc07381	Adding ability to skip to model, tools or END	2025-08-26 09:57:32 +01:00
Harrison Chase	80e19ecf4d	cr	2025-08-25 19:14:24 -07:00
Nuno Campos	54272afe01	Add response_format arg	2025-08-25 21:20:26 +01:00
Nuno Campos	e1aeb24a4e	Add state arg to modify hook	2025-08-25 21:08:38 +01:00
Nuno Campos	a51c0bfa31	Boom	2025-08-25 17:36:16 +01:00