WIP: monorepo support in CLI (#6028)

This PR introduces the `--build-command` and `--install-command`
arguments to `langgraph build`.

`--install-command` is a custom install command. If passed, it will be
run from wherever the `langgraph build` call was made, i.e. NOT where
the langgraph.json file lives (except if these are the same place). This
will override the detected install command that we previously used.

`--build-command` is a custom build command. This will run from wherever
the langgraph.json file lives, and will be done after the install has
been run.

You don't need to provide both. Just providing one will make the install
(detected or supplied) run in the directory from where `langgraph build
was called` and then have the build command (if one exists) run in the
directory where langgraph.json exists.

I think we should probably allow configuring the directories from which
these commands get run, but I don't think this needs to be part of the
MVP.

---------

Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>

.github/workflows/_integration_test.yml

@@ -87,3 +87,18 @@ 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

docs/docs/cloud/deployment/cloud.md

@@ -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 not trigger subsequent updates. In the future, this functionality may be changed/improved.
+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.
 
 ## Add or Remove GitHub Repositories
 

docs/docs/cloud/reference/api/openapi.json

@@ -29,6 +29,10 @@
       "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."
@@ -1520,6 +1524,96 @@
         }
       }
     },
+    "/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": [
@@ -3092,6 +3186,195 @@
         }
       }
     },
+    "/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",
@@ -4346,6 +4629,17 @@
             "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",
@@ -4582,6 +4876,17 @@
             "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",
@@ -4710,6 +5015,12 @@
       },
       "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",
@@ -4950,11 +5261,30 @@
             "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 creating a thread."
+        "description": "Payload for updating a thread."
       },
       "ThreadStateCheckpointRequest": {
         "properties": {

docs/docs/cloud/reference/cli.md

@@ -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"

docs/docs/concepts/low_level.md

@@ -1040,7 +1040,7 @@ def node_a(state: State, runtime: Runtime[ContextSchema]):
     ...
 ```
 
-See [this guide](../how-tos/graph-api.ipynb#add-runtime-configuration) for a full breakdown on configuration.
+See [this guide](../how-tos/graph-api.md#add-runtime-configuration) for a full breakdown on configuration.
 :::
 
 :::js

libs/cli/js-monorepo-example/.eslintrc.cjs

@@ -0,0 +1,62 @@
+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 }],
+  },
+};

libs/cli/js-monorepo-example/apps/agent/langgraph.json

@@ -0,0 +1,7 @@
+{
+  "node_version": "20",
+  "graphs": {
+    "agent": "./src/graph.ts:graph"
+  },
+  "env": "../../.env"
+}

libs/cli/js-monorepo-example/apps/agent/package.json

@@ -0,0 +1,18 @@
+{
+  "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"
+  }
+}

libs/cli/js-monorepo-example/apps/agent/src/graph.ts

@@ -0,0 +1,47 @@
+/**
+ * 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();

libs/cli/js-monorepo-example/apps/agent/src/state.ts

@@ -0,0 +1,15 @@
+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: () => [],
+  }),
+});

libs/cli/js-monorepo-example/apps/agent/tsconfig.json

@@ -0,0 +1,9 @@
+{
+  "extends": "../../tsconfig.json",
+  "compilerOptions": {
+    "outDir": "./dist",
+    "rootDir": "./src"
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist"]
+}

libs/cli/js-monorepo-example/libs/shared/package.json

@@ -0,0 +1,14 @@
+{
+  "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"
+  }
+}

libs/cli/js-monorepo-example/libs/shared/src/index.ts

@@ -0,0 +1,6 @@
+/**
+ * Simple utility functions for monorepo testing
+ */
+export function getGreeting(): string {
+  return "Hello from shared library!";
+}

libs/cli/js-monorepo-example/libs/shared/tsconfig.json

@@ -0,0 +1,9 @@
+{
+  "extends": "../../tsconfig.json",
+  "compilerOptions": {
+    "outDir": "./dist",
+    "rootDir": "./src"
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist"]
+}

libs/cli/js-monorepo-example/package.json

@@ -0,0 +1,34 @@
+{
+  "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"
+  }
+}

libs/cli/js-monorepo-example/tsconfig.json

@@ -0,0 +1,16 @@
+{
+  "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"]
+}

libs/cli/js-monorepo-example/turbo.json

@@ -0,0 +1,15 @@
+{
+  "$schema": "https://turbo.build/schema.json",
+  "tasks": {
+    "build": {
+      "dependsOn": ["^build"],
+      "outputs": ["dist/**"]
+    },
+    "clean": {
+      "dependsOn": ["^clean"]
+    },
+    "test": {
+      "dependsOn": ["^test"]
+    }
+  }
+}

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.3.8"
+__version__ = "0.4.1"

libs/cli/langgraph_cli/cli.py

@@ -303,6 +303,8 @@ def _build(
     pull: bool,
     tag: str,
     passthrough: Sequence[str] = (),
+    install_command: Optional[str] = None,
+    build_command: Optional[str] = None,
 ):
     # pull latest images
     if pull:
@@ -322,22 +324,38 @@ 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
+        config,
+        config_json,
+        base_image,
+        api_version,
+        install_command,
+        build_command,
+        build_context,
     )
     # 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,
-            str(config.parent),
+            build_context,
             input=stdin,
             verbose=True,
         )
@@ -366,6 +384,14 @@ 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.",
@@ -381,6 +407,8 @@ 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:
@@ -397,6 +425,8 @@ def build(
             pull,
             tag,
             docker_build_args,
+            install_command,
+            build_command,
         )
 
 

libs/cli/langgraph_cli/config.py

@@ -357,6 +357,8 @@ 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):
@@ -911,10 +913,10 @@ 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 (
@@ -1284,7 +1286,7 @@ 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}"
             )
@@ -1303,7 +1305,7 @@ 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}"""
@@ -1318,7 +1320,7 @@ 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()
@@ -1421,7 +1423,7 @@ 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)
@@ -1434,9 +1436,28 @@ 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]]:
-    faux_path = f"/deps/{config_path.parent.name}"
-    install_cmd = _get_node_pm_install_cmd(config_path, config)
+    # 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)
+
     image_str = docker_tag(config, base_image, api_version)
 
     env_vars: list[str] = []
@@ -1463,20 +1484,35 @@ 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}",
+        f"ADD . {faux_path if not build_context else container_root}",
         "",
-        f"RUN cd {faux_path} && {install_cmd}",
+        install_step,
         "",
         os.linesep.join(env_vars),
         "",
         f"WORKDIR {faux_path}",
         "",
-        'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts',
+        build_step,
     ]
 
     return os.linesep.join(docker_file_contents), {}
@@ -1524,16 +1560,42 @@ 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)
+        return node_config_to_docker(
+            config_path,
+            config,
+            base_image,
+            api_version,
+            install_command,
+            build_command,
+            build_context,
+        )
 
     return python_config_to_docker(config_path, config, base_image, api_version)
 

libs/cli/pyproject.toml

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

libs/cli/python-monorepo-example/apps/agent/langgraph.json

@@ -0,0 +1,7 @@
+{
+  "dependencies": [".", "../../libs/shared", "../../libs/common"],
+  "graphs": {
+    "agent": "./src/agent/graph.py:graph"
+  },
+  "env": ".env"
+}

libs/cli/python-monorepo-example/apps/agent/pyproject.toml

@@ -0,0 +1,19 @@
+[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"

libs/cli/python-monorepo-example/apps/agent/src/agent/__init__.py

@@ -0,0 +1 @@
+"""Agent package."""

libs/cli/python-monorepo-example/apps/agent/src/agent/graph.py

@@ -0,0 +1,40 @@
+"""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()

libs/cli/python-monorepo-example/apps/agent/src/agent/state.py

@@ -0,0 +1,13 @@
+"""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]

libs/cli/python-monorepo-example/libs/common/__init__.py

@@ -0,0 +1,5 @@
+"""Common helper functions package."""
+
+from .helpers import get_common_prefix
+
+__all__ = ["get_common_prefix"]

libs/cli/python-monorepo-example/libs/common/helpers.py

@@ -0,0 +1,6 @@
+"""Common helper functions."""
+
+
+def get_common_prefix() -> str:
+    """Get a common prefix for messages."""
+    return "[COMMON]"

libs/cli/python-monorepo-example/libs/shared/pyproject.toml

@@ -0,0 +1,20 @@
+[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"

libs/cli/python-monorepo-example/libs/shared/src/shared/__init__.py

@@ -0,0 +1,5 @@
+"""Shared utilities package."""
+
+from .utils import get_dummy_message
+
+__all__ = ["get_dummy_message"]

libs/cli/python-monorepo-example/libs/shared/src/shared/utils.py

@@ -0,0 +1,6 @@
+"""Shared utility functions."""
+
+
+def get_dummy_message() -> str:
+    """Get a dummy message for testing."""
+    return "Hello from shared library!"

libs/cli/python-monorepo-example/pyproject.toml

@@ -0,0 +1,46 @@
+[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"

libs/cli/schemas/schema.json

@@ -576,6 +576,17 @@
         "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": []

libs/cli/schemas/schema.v0.json

@@ -576,6 +576,17 @@
         "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": []

libs/cli/tests/unit_tests/cli/test_cli.py

@@ -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, (

libs/cli/tests/unit_tests/test_config.py

@@ -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 --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 --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 --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 --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 --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
@@ -691,7 +691,7 @@ ARG foo
 ADD pipconfig.txt /pipconfig.txt
 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 --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"' \\
@@ -807,7 +807,7 @@ 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 --
@@ -815,13 +815,13 @@ RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/con
 # -- 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 --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 == {}
@@ -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 --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 --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 --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 --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 --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:

libs/cli/uv.lock

@@ -489,7 +489,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-api"
-version = "0.3.0"
+version = "0.4.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "cloudpickle", marker = "python_full_version >= '3.11'" },
@@ -512,9 +512,9 @@ dependencies = [
     { name = "uvicorn", marker = "python_full_version >= '3.11'" },
     { name = "watchfiles", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/74/7c/37bd3f791dc00698b405288dc764e078ed143c7ecd65e2e72cc0e386d3f1/langgraph_api-0.3.0.tar.gz", hash = "sha256:b908c34ebb9c42c2f4fb17f3f3a71e39ee0dfb283b7028d73d4bc1f4681914e7", size = 255812, upload-time = "2025-08-21T00:49:28.347Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/81/c5/1bcaf07f3f973a4a540bd341f20dfc60f0fc3cac8e7c2dc606680cb1d11e/langgraph_api-0.4.1.tar.gz", hash = "sha256:6f12b8be914ad9a9f11e3b73278fc90aeb7b4988b0418afbdf686c6fd5577c74", size = 1579764, upload-time = "2025-08-26T12:23:48.172Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/06/34/cdbb0b5abf603fd01c91a63c9436fbe733f56cae448f42c7a1c7e3f4508e/langgraph_api-0.3.0-py3-none-any.whl", hash = "sha256:b76a7ced3bb559560b42a8d8f3cc7cff638c2022d0881d476caa1d511fb36a2e", size = 206012, upload-time = "2025-08-21T00:49:26.917Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/5e/b36e6035b52e06a9c0bd04030255a03b2444c9d2cad347b96193674cf4f5/langgraph_api-0.4.1-py3-none-any.whl", hash = "sha256:1f5f8d33bca30200e954e81416f4de26bce173a7f2e623b1e509d1b8a44b49a3", size = 1536988, upload-time = "2025-08-26T12:23:45.834Z" },
 ]
 
 [[package]]
@@ -561,8 +561,8 @@ dev = [
 [package.metadata]
 requires-dist = [
     { name = "click", specifier = ">=8.1.7" },
-    { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.2.120,<0.4.0" },
-    { name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.6.8" },
+    { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.3,<0.5.0" },
+    { name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.7" },
     { name = "langgraph-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.1.0" },
     { name = "python-dotenv", marker = "extra == 'inmem'", specifier = ">=0.8.0" },
 ]
@@ -595,7 +595,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-runtime-inmem"
-version = "0.8.0"
+version = "0.9.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "blockbuster", marker = "python_full_version >= '3.11'" },
@@ -605,27 +605,27 @@ dependencies = [
     { name = "starlette", marker = "python_full_version >= '3.11'" },
     { name = "structlog", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/8c/94/02b58b1c137cfca6507f6c495e5794fd542b1f5269ef89fb662799be4b8c/langgraph_runtime_inmem-0.8.0.tar.gz", hash = "sha256:3082273f65650665b4a3875241721087fd51e675eb0227b18dc271839ce99594", size = 79510, upload-time = "2025-08-18T09:00:09.162Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/2d/88/e5a0a776b2db76c114e3dc67eaa79135f008cc23c1af0802069acd9272d6/langgraph_runtime_inmem-0.9.0.tar.gz", hash = "sha256:7c5adfc98a5cce77c9d8413f606ce6edce315d15e4617a1191e066a0afe38802", size = 81401, upload-time = "2025-08-26T01:02:10.709Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7a/0e/b09c1aff0bcfdb1357be212b4a5d55f5b98644eae7fab6b115aa463e99fa/langgraph_runtime_inmem-0.8.0-py3-none-any.whl", hash = "sha256:85398321fc186618b0957c4d8629cc059fce2e7f57a4756ef83a75575791da1b", size = 31626, upload-time = "2025-08-18T09:00:08.256Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/e5/8da2e1cc9a97750a346b21b81fc52d2d4127c226775a3071436d6c67e97b/langgraph_runtime_inmem-0.9.0-py3-none-any.whl", hash = "sha256:541e3666d37038f15fa6c2fe34667ae649fd79913de50720241f4017f8b7b946", size = 33479, upload-time = "2025-08-26T01:02:09.522Z" },
 ]
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.2.2"
+version = "0.2.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx", marker = "python_full_version >= '3.11'" },
     { name = "orjson", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/4d/3a/ea929b5b3827615802f020abdaa6d4a6f9d59ab764f65559fa6f87a6dda6/langgraph_sdk-0.2.2.tar.gz", hash = "sha256:9484e8071953df75d7aaf9845d82db3595e485af7d5dcc235c9b32c52362e1fc", size = 77981, upload-time = "2025-08-18T19:25:42.596Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/4e/50/1f5e4d129e3969973674db01bf5dcb85e2233e5e4fdffa53eefff1399902/langgraph_sdk-0.2.3.tar.gz", hash = "sha256:17398aeae0f937cae1c8eb9027ada2969abdb50fe8ed3246c78f543b679cf959", size = 78468, upload-time = "2025-08-21T23:01:06.674Z" }
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@@ -1335,11 +1335,11 @@ wheels = [
 
 [[package]]
 name = "typing-extensions"
-version = "4.14.1"
+version = "4.15.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/98/5a/da40306b885cc8c09109dc2e1abd358d5684b1425678151cdaed4731c822/typing_extensions-4.14.1.tar.gz", hash = "sha256:38b39f4aeeab64884ce9f74c94263ef78f3c22467c8724005483154c26648d36", size = 107673, upload-time = "2025-07-04T13:28:34.16Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/72/94/1a15dd82efb362ac84269196e94cf00f187f7ed21c242792a923cdb1c61f/typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466", size = 109391, upload-time = "2025-08-25T13:49:26.313Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/b5/00/d631e67a838026495268c2f6884f3711a15a9a2a96cd244fdaea53b823fb/typing_extensions-4.14.1-py3-none-any.whl", hash = "sha256:d1e1e3b58374dc93031d6eda2420a48ea44a36c2b4766a4fdeb3710755731d76", size = 43906, upload-time = "2025-07-04T13:28:32.743Z" },
+    { url = "https://files.pythonhosted.org/packages/18/67/36e9267722cc04a6b9f15c7f3441c2363321a3ea07da7ae0c0707beb2a9c/typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548", size = 44614, upload-time = "2025-08-25T13:49:24.86Z" },
 ]
 
 [[package]]

libs/langgraph/.claude/settings.local.json

@@ -5,7 +5,9 @@
       "Bash(python:*)",
       "Bash(grep:*)",
       "Bash(sed:*)",
-      "Bash(awk:*)"
+      "Bash(awk:*)",
+      "Bash(uv run mypy:*)",
+      "Bash(uv run:*)"
     ],
     "deny": []
   }

libs/langgraph/langgraph/agent/__init__.py

@@ -1,314 +0,0 @@
-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)

libs/langgraph/langgraph/agent/middleware/dynamic_model.py

@@ -1,35 +0,0 @@
-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

libs/langgraph/langgraph/agent/middleware/human_in_the_loop.py

@@ -1,102 +0,0 @@
-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]}

libs/langgraph/langgraph/agent/middleware/model_calls.py

@@ -1,23 +0,0 @@
-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}

libs/langgraph/langgraph/agent/middleware/summarization.py

@@ -1,108 +0,0 @@
-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])

libs/langgraph/langgraph/agent/middleware/swarm.py

@@ -1,84 +0,0 @@
-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

libs/langgraph/langgraph/agent/middleware/tool_calls.py

@@ -1,44 +0,0 @@
-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}

libs/langgraph/langgraph/agent/types.py

@@ -1,62 +0,0 @@
-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

libs/langgraph/langgraph/pregel/_algo.py

@@ -198,8 +198,11 @@ def local_read(
         # apply writes
         local_channels: dict[str, BaseChannel] = {}
         for k in channels:
-            cc = channels[k].copy()
-            cc.update(updated[k])
+            if k in updated:
+                cc = channels[k].copy()
+                cc.update(updated[k])
+            else:
+                cc = channels[k]
             local_channels[k] = cc
         # read fresh values
         values = read_channels(local_channels, select)

libs/langgraph/tests/__snapshots__/test_agent.ambr

@@ -1,313 +0,0 @@
-# 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
-  
-  '''
-# ---

libs/langgraph/tests/test_agent.py

@@ -1,298 +0,0 @@
-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"]

libs/langgraph/uv.lock

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-    { url = "https://files.pythonhosted.org/packages/b5/00/d631e67a838026495268c2f6884f3711a15a9a2a96cd244fdaea53b823fb/typing_extensions-4.14.1-py3-none-any.whl", hash = "sha256:d1e1e3b58374dc93031d6eda2420a48ea44a36c2b4766a4fdeb3710755731d76", size = 43906, upload-time = "2025-07-04T13:28:32.743Z" },
+    { url = "https://files.pythonhosted.org/packages/18/67/36e9267722cc04a6b9f15c7f3441c2363321a3ea07da7ae0c0707beb2a9c/typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548", size = 44614, upload-time = "2025-08-25T13:49:24.86Z" },
 ]
 
 [[package]]

libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py

@@ -38,7 +38,6 @@ 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
@@ -262,7 +261,6 @@ 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]]
@@ -464,32 +462,6 @@ 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:

libs/sdk-py/langgraph_sdk/__init__.py

@@ -1,6 +1,6 @@
 from langgraph_sdk.auth import Auth
 from langgraph_sdk.client import get_client, get_sync_client
 
-__version__ = "0.2.3"
+__version__ = "0.2.6"
 
 __all__ = ["Auth", "get_client", "get_sync_client"]

libs/sdk-py/langgraph_sdk/auth/types.py

@@ -400,6 +400,20 @@ 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.
 
@@ -422,6 +436,9 @@ 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.
@@ -489,6 +506,9 @@ 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."""
 

libs/sdk-py/langgraph_sdk/client.py

@@ -15,6 +15,7 @@ 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 (
@@ -45,6 +46,7 @@ from langgraph_sdk.schema import (
     CronSelectField,
     CronSortBy,
     DisconnectMode,
+    Durability,
     GraphSchema,
     IfNotExists,
     Item,
@@ -69,6 +71,7 @@ from langgraph_sdk.schema import (
     ThreadSortBy,
     ThreadState,
     ThreadStatus,
+    ThreadStreamMode,
     ThreadUpdateStateResponse,
 )
 from langgraph_sdk.sse import SSEDecoder, aiter_lines_raw, iter_lines_raw
@@ -1176,6 +1179,7 @@ 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:
@@ -1190,6 +1194,9 @@ 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.
 
@@ -1231,6 +1238,11 @@ 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
@@ -1241,6 +1253,7 @@ 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:
@@ -1249,6 +1262,9 @@ 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.
 
@@ -1262,12 +1278,19 @@ 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={"metadata": metadata},
+            json=payload,
             headers=headers,
             params=params,
         )
@@ -1306,6 +1329,7 @@ class ThreadsClient:
         *,
         metadata: Json = None,
         values: Json = None,
+        ids: Sequence[str] | None = None,
         status: ThreadStatus | None = None,
         limit: int = 10,
         offset: int = 0,
@@ -1320,6 +1344,7 @@ 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.
@@ -1353,6 +1378,8 @@ class ThreadsClient:
             payload["metadata"] = metadata
         if values:
             payload["values"] = values
+        if ids:
+            payload["ids"] = ids
         if status:
             payload["status"] = status
         if sort_by:
@@ -1682,6 +1709,53 @@ 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.
@@ -1772,7 +1846,7 @@ class RunsClient:
         context: Context | None = None,
         checkpoint: Checkpoint | None = None,
         checkpoint_id: str | None = None,
-        checkpoint_during: bool | None = None,
+        checkpoint_during: bool | None = None,  # deprecated
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         feedback_keys: Sequence[str] | None = None,
@@ -1785,6 +1859,7 @@ 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.
 
@@ -1804,7 +1879,7 @@ 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: Whether to checkpoint during the run (or only at the end/interruption).
+            checkpoint_during: (deprecated) 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.
@@ -1822,6 +1897,10 @@ 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.
@@ -1857,6 +1936,13 @@ 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": (
@@ -1881,6 +1967,7 @@ class RunsClient:
             "on_disconnect": on_disconnect,
             "on_completion": on_completion,
             "after_seconds": after_seconds,
+            "durability": durability,
         }
         endpoint = (
             f"/threads/{thread_id}/runs/stream"
@@ -1971,7 +2058,7 @@ class RunsClient:
         context: Context | None = None,
         checkpoint: Checkpoint | None = None,
         checkpoint_id: str | None = None,
-        checkpoint_during: bool | None = None,
+        checkpoint_during: bool | None = None,  # deprecated
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         webhook: str | None = None,
@@ -1982,6 +2069,7 @@ 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.
 
@@ -2001,7 +2089,7 @@ 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: Whether to checkpoint during the run (or only at the end/interruption).
+            checkpoint_during: (deprecated) 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.
@@ -2015,6 +2103,10 @@ 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.
@@ -2090,6 +2182,12 @@ 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": (
@@ -2112,6 +2210,7 @@ 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}
 
@@ -2209,7 +2308,7 @@ class RunsClient:
         context: Context | None = None,
         checkpoint: Checkpoint | None = None,
         checkpoint_id: str | None = None,
-        checkpoint_during: bool | None = None,
+        checkpoint_during: bool | None = None,  # deprecated
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         webhook: str | None = None,
@@ -2222,6 +2321,7 @@ 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.
 
@@ -2237,7 +2337,7 @@ 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: Whether to checkpoint during the run (or only at the end/interruption).
+            checkpoint_during: (deprecated) 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.
@@ -2253,6 +2353,10 @@ 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.
@@ -2306,6 +2410,12 @@ 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": (
@@ -2326,6 +2436,7 @@ 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"
@@ -4241,6 +4352,7 @@ 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:
@@ -4255,6 +4367,9 @@ 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:
@@ -4296,6 +4411,11 @@ 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)
 
@@ -4304,6 +4424,7 @@ 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:
@@ -4312,7 +4433,11 @@ 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.
@@ -4324,12 +4449,19 @@ 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={"metadata": metadata},
+            json=payload,
             headers=headers,
             params=params,
         )
@@ -4367,6 +4499,7 @@ class SyncThreadsClient:
         *,
         metadata: Json = None,
         values: Json = None,
+        ids: Sequence[str] | None = None,
         status: ThreadStatus | None = None,
         limit: int = 10,
         offset: int = 0,
@@ -4381,6 +4514,7 @@ 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.
@@ -4410,6 +4544,8 @@ class SyncThreadsClient:
             payload["metadata"] = metadata
         if values:
             payload["values"] = values
+        if ids:
+            payload["ids"] = ids
         if status:
             payload["status"] = status
         if sort_by:
@@ -4733,6 +4869,54 @@ 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.
@@ -4823,7 +5007,7 @@ class SyncRunsClient:
         context: Context | None = None,
         checkpoint: Checkpoint | None = None,
         checkpoint_id: str | None = None,
-        checkpoint_during: bool | None = None,
+        checkpoint_during: bool | None = None,  # deprecated
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         feedback_keys: Sequence[str] | None = None,
@@ -4836,6 +5020,7 @@ 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.
 
@@ -4855,7 +5040,7 @@ 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: Whether to checkpoint during the run (or only at the end/interruption).
+            checkpoint_during: (deprecated) 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.
@@ -4872,6 +5057,11 @@ 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.
@@ -4904,6 +5094,12 @@ 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": (
@@ -4928,6 +5124,7 @@ class SyncRunsClient:
             "on_disconnect": on_disconnect,
             "on_completion": on_completion,
             "after_seconds": after_seconds,
+            "durability": durability,
         }
         endpoint = (
             f"/threads/{thread_id}/runs/stream"
@@ -5018,7 +5215,7 @@ class SyncRunsClient:
         context: Context | None = None,
         checkpoint: Checkpoint | None = None,
         checkpoint_id: str | None = None,
-        checkpoint_during: bool | None = None,
+        checkpoint_during: bool | None = None,  # deprecated
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         webhook: str | None = None,
@@ -5029,6 +5226,7 @@ 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.
 
@@ -5048,7 +5246,7 @@ 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: Whether to checkpoint during the run (or only at the end/interruption).
+            checkpoint_during: (deprecated) 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.
@@ -5062,6 +5260,10 @@ 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.
@@ -5137,6 +5339,12 @@ 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": (
@@ -5159,6 +5367,7 @@ 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}
 
@@ -5254,7 +5463,7 @@ class SyncRunsClient:
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
         context: Context | None = None,
-        checkpoint_during: bool | None = None,
+        checkpoint_during: bool | None = None,  # deprecated
         checkpoint: Checkpoint | None = None,
         checkpoint_id: str | None = None,
         interrupt_before: All | Sequence[str] | None = None,
@@ -5269,6 +5478,7 @@ 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.
 
@@ -5284,7 +5494,7 @@ 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: Whether to checkpoint during the run (or only at the end/interruption).
+            checkpoint_during: (deprecated) 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.
@@ -5301,6 +5511,10 @@ 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.
@@ -5355,6 +5569,12 @@ 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": (
@@ -5376,6 +5596,7 @@ class SyncRunsClient:
             "on_completion": on_completion,
             "after_seconds": after_seconds,
             "raise_error": raise_error,
+            "durability": durability,
         }
 
         def on_response(res: httpx.Response):

libs/sdk-py/langgraph_sdk/schema.py

@@ -38,6 +38,14 @@ 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",
@@ -91,6 +99,12 @@ 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."""