release: langgraph + prebuilt (#6875)

Fixes https://github.com/langchain-ai/langchain/issues/35305

Co-authored-by: Shivangi Sharma <shivangi.sharma7004@gmail.com>

.github/dependabot.yml

@@ -19,6 +19,16 @@ updates:
       all-dependencies:
         patterns:
           - "*"
+  - package-ecosystem: "uv"
+    directory: "/libs/checkpoint-conformance"
+    schedule:
+      interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"
+
 
   - package-ecosystem: "uv"
     directory: "/libs/checkpoint-postgres"

.github/workflows/_integration_test.yml

@@ -2,6 +2,9 @@ name: CLI integration test
 
 on:
   workflow_call:
+    secrets:
+      LANGSMITH_API_KEY:
+        required: false
 
 permissions:
   contents: read
@@ -28,6 +31,8 @@ jobs:
             workdir: libs/cli/examples/graphs_reqs_b
             tag: langgraph-test-d
     name: "CLI integration test"
+    env:
+      HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
     defaults:
       run:
         working-directory: libs/cli
@@ -49,19 +54,22 @@ jobs:
       - name: Install cli globally
         if: steps.changed-files.outputs.all
         run: pip install -e .
-      - name: Build and test service ${{ matrix.example.name }}
+      - name: Build service ${{ matrix.example.name }}
         if: steps.changed-files.outputs.all
         working-directory: ${{ matrix.example.workdir }}
+        run: |
+          langgraph build -t ${{ matrix.example.tag }}
+      - name: Test service ${{ matrix.example.name }}
+        if: ${{ steps.changed-files.outputs.all && env.HAS_LANGSMITH_API_KEY == 'true' }}
+        working-directory: ${{ matrix.example.workdir }}
         env:
           LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
         run: |
-          # Build the image for this example
-          langgraph build -t ${{ matrix.example.tag }}
           # Prepare environment file from local or parent example directory
           if [ -f .env.example ]; then cp .env.example .env; elif [ -f ../.env.example ]; then cp ../.env.example .env && cp ../.env.example ../.env; fi
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; if [ -f ../.env ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> ../.env; fi; fi
+          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
+          if [ -f ../.env ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> ../.env; fi
           # Run the integration test using the built tag
-          # Compute repo root to reference the shared script robustly
           REPO_ROOT=$(git rev-parse --show-toplevel)
           timeout 60 python "$REPO_ROOT/.github/scripts/run_langgraph_cli_test.py" -t ${{ matrix.example.tag }}
 
@@ -82,17 +90,29 @@ jobs:
         working-directory: libs/cli/python-monorepo-example
         run: |
           langgraph build -t langgraph-test-g -c apps/agent/langgraph.json
+      - name: Test Python monorepo service
+        if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
+        working-directory: libs/cli/python-monorepo-example
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+        run: |
           cp apps/agent/.env.example apps/agent/.env
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> apps/agent/.env; fi
+          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> apps/agent/.env
           timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-g -c apps/agent/langgraph.json
 
-      - name: Build and test prerelease reqs service
+      - name: Build prerelease reqs service
         if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
         working-directory: libs/cli/examples/graph_prerelease_reqs
         run: |
           langgraph build -t langgraph-test-h
+      - name: Test prerelease reqs service
+        if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
+        working-directory: libs/cli/examples/graph_prerelease_reqs
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+        run: |
           cp ../.env.example .env
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
+          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
           timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
           echo "Finished starting up langgraph-test-h"
           LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")

.github/workflows/ci.yml

@@ -39,6 +39,7 @@ jobs:
               - 'libs/checkpoint/**'
               - 'libs/checkpoint-sqlite/**'
               - 'libs/checkpoint-postgres/**'
+              - 'libs/checkpoint-conformance/**'
               - 'libs/prebuilt/**'
             deps:
               - '**/pyproject.toml'
@@ -57,7 +58,7 @@ jobs:
             "libs/checkpoint",
             "libs/checkpoint-sqlite",
             "libs/checkpoint-postgres",
-
+            "libs/checkpoint-conformance",
             "libs/prebuilt",
           ]
     if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true'
@@ -77,6 +78,7 @@ jobs:
             "libs/checkpoint",
             "libs/checkpoint-sqlite",
             "libs/checkpoint-postgres",
+            "libs/checkpoint-conformance",
             "libs/prebuilt",
             "libs/sdk-py",
           ]

.github/workflows/deploy-redirects.yml

@@ -0,0 +1,49 @@
+name: Deploy Redirects to GitHub Pages
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - 'docs/**'
+      - '.github/workflows/deploy-redirects.yml'
+  workflow_dispatch:
+
+permissions:
+  contents: read
+  pages: write
+  id-token: write
+
+concurrency:
+  group: "pages"
+  cancel-in-progress: false
+
+jobs:
+  deploy:
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Setup Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
+
+      - name: Generate redirect files
+        run: python docs/generate_redirects.py
+
+      - name: Setup Pages
+        uses: actions/configure-pages@v4
+
+      - name: Upload artifact
+        uses: actions/upload-pages-artifact@v3
+        with:
+          path: 'docs/_site'
+
+      - name: Deploy to GitHub Pages
+        id: deployment
+        uses: actions/deploy-pages@v4

docs/.gitignore

@@ -0,0 +1 @@
+_site/

docs/generate_redirects.py

@@ -0,0 +1,142 @@
+#!/usr/bin/env python3
+"""
+Generate HTML redirect files from redirects.json.
+
+Usage:
+    python generate_redirects.py
+
+This script reads redirects.json and generates individual HTML files
+for each redirect path. Each HTML file uses meta refresh (0 delay)
+which is SEO-friendly and treated similarly to 301 redirects by Google.
+
+To add new redirects, simply edit redirects.json and re-run this script.
+"""
+
+import json
+import os
+from pathlib import Path
+
+# Default fallback URL for any path not in the redirect map
+DEFAULT_REDIRECT = "https://docs.langchain.com/oss/python/langgraph/overview"
+
+HTML_TEMPLATE = """<!doctype html>
+<html lang="en">
+<head>
+    <meta charset="utf-8">
+    <title>Redirecting...</title>
+    <link rel="canonical" href="{url}">
+    <meta name="robots" content="noindex">
+    <script>var anchor=window.location.hash.substr(1);location.href="{url}"+(anchor?"#"+anchor:"")</script>
+    <meta http-equiv="refresh" content="0; url={url}">
+</head>
+<body>
+Redirecting...
+</body>
+</html>
+"""
+
+ROOT_HTML_TEMPLATE = """<!doctype html>
+<html lang="en">
+<head>
+    <meta charset="utf-8">
+    <title>Redirecting to LangGraph Documentation</title>
+    <link rel="canonical" href="{url}">
+    <meta name="robots" content="noindex">
+    <script>var anchor=window.location.hash.substr(1);location.href="{url}"+(anchor?"#"+anchor:"")</script>
+    <meta http-equiv="refresh" content="0; url={url}">
+</head>
+<body>
+<h1>Documentation has moved</h1>
+<p>The LangGraph documentation has moved to <a href="{url}">docs.langchain.com</a>.</p>
+<p>Redirecting you now...</p>
+</body>
+</html>
+"""
+
+CATCHALL_404_TEMPLATE = """<!doctype html>
+<html lang="en">
+<head>
+    <meta charset="utf-8">
+    <title>Redirecting to LangGraph Documentation</title>
+    <link rel="canonical" href="{default_url}">
+    <meta name="robots" content="noindex">
+    <script>
+        // Catchall redirect for any unmapped paths
+        window.location.replace("{default_url}");
+    </script>
+    <meta http-equiv="refresh" content="0; url={default_url}">
+</head>
+<body>
+<h1>Documentation has moved</h1>
+<p>The LangGraph documentation has moved to <a href="{default_url}">docs.langchain.com</a>.</p>
+<p>Redirecting you now...</p>
+</body>
+</html>
+"""
+
+
+def generate_redirects():
+    script_dir = Path(__file__).parent
+    output_dir = script_dir / "_site"
+
+    # Load redirects
+    with open(script_dir / "redirects.json") as f:
+        redirects = json.load(f)
+
+    # Clean output directory
+    if output_dir.exists():
+        import shutil
+        shutil.rmtree(output_dir)
+    output_dir.mkdir(parents=True)
+
+    # Generate individual HTML files for each redirect
+    for old_path, new_url in redirects.items():
+        # Remove leading slash and create directory structure
+        path = old_path.lstrip("/")
+
+        # Check if path has a file extension (e.g., .txt, .xml)
+        # If so, create the file directly instead of a directory with index.html
+        path_obj = Path(path)
+        has_extension = path_obj.suffix and len(path_obj.suffix) <= 5
+
+        if not path:
+            html_path = output_dir / "index.html"
+        elif has_extension:
+            # For files with extensions, create the file directly
+            html_path = output_dir / path
+        else:
+            # For directory-style URLs, create index.html inside
+            html_path = output_dir / path / "index.html"
+
+        # Create parent directories
+        html_path.parent.mkdir(parents=True, exist_ok=True)
+
+        # Write the redirect HTML
+        html_path.write_text(HTML_TEMPLATE.format(url=new_url))
+        print(f"Created: {html_path}")
+
+    # Create root index.html
+    root_index = output_dir / "index.html"
+    if not root_index.exists():
+        root_index.write_text(ROOT_HTML_TEMPLATE.format(url=DEFAULT_REDIRECT))
+        print(f"Created: {root_index}")
+
+    # Create 404.html for catchall
+    catchall_404 = output_dir / "404.html"
+    catchall_404.write_text(CATCHALL_404_TEMPLATE.format(default_url=DEFAULT_REDIRECT))
+    print(f"Created: {catchall_404}")
+
+    # Copy static files (like llms.txt) that can't be redirected via HTML
+    static_files = ["llms.txt"]
+    for static_file in static_files:
+        src = script_dir / static_file
+        if src.exists():
+            dst = output_dir / static_file
+            dst.write_text(src.read_text())
+            print(f"Copied: {dst}")
+
+    print(f"\nGenerated {len(redirects)} redirect files in {output_dir}")
+
+
+if __name__ == "__main__":
+    generate_redirects()

docs/llms.txt

@@ -0,0 +1,35 @@
+# LangGraph
+
+LangGraph documentation has moved to docs.langchain.com.
+
+## Overview
+
+- [LangGraph Overview](https://docs.langchain.com/oss/python/langgraph/overview): Introduction to LangGraph, a library for building stateful, multi-actor applications with LLMs.
+- [Why LangGraph?](https://docs.langchain.com/oss/python/langgraph/why-langgraph): Motivation for LangGraph and its key features.
+
+## Core Concepts
+
+- [Graph API](https://docs.langchain.com/oss/python/langgraph/graph-api): Learn how to define state, create nodes, and connect them with edges.
+- [Streaming](https://docs.langchain.com/oss/python/langgraph/streaming): Stream outputs from your graph for better UX.
+- [Persistence](https://docs.langchain.com/oss/python/langgraph/persistence): Add memory and checkpointing to your graphs.
+- [Add Memory](https://docs.langchain.com/oss/python/langgraph/add-memory): Implement short-term and long-term memory.
+- [Workflows & Agents](https://docs.langchain.com/oss/python/langgraph/workflows-agents): Build agents and workflows with LangGraph.
+
+## How-To Guides
+
+- [Use Subgraphs](https://docs.langchain.com/oss/python/langgraph/use-subgraphs): Compose graphs using subgraphs.
+- [Observability](https://docs.langchain.com/oss/python/langgraph/observability): Add tracing and debugging to your graphs.
+- [Common Errors](https://docs.langchain.com/oss/python/langgraph/common-errors): Troubleshoot common LangGraph errors.
+
+## Tutorials
+
+- [Agentic RAG](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Build an agentic RAG system with LangGraph.
+- [SQL Agent](https://docs.langchain.com/oss/python/langgraph/sql-agent): Create a SQL agent with LangGraph.
+
+## Reference
+
+- [API Reference](https://reference.langchain.com/python/langgraph/): Complete API documentation for LangGraph.
+
+## LangGraph Platform
+
+For deploying LangGraph applications in production, see the [LangSmith documentation](https://docs.langchain.com/langsmith/agent-server).

docs/redirects.json

@@ -0,0 +1,296 @@
+{
+  "/how-tos/stream-values": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/stream-updates": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/streaming-content": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/stream-multiple": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/streaming-tokens-without-langchain": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/streaming-from-final-node": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/streaming-events-from-within-tools-without-langchain": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/state-reducers": "https://docs.langchain.com/oss/python/langgraph/graph-api#define-and-update-state",
+  "/how-tos/sequence": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-a-sequence-of-steps",
+  "/how-tos/branching": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-branches",
+  "/how-tos/recursion-limit": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-and-control-loops",
+  "/how-tos/visualization": "https://docs.langchain.com/oss/python/langgraph/graph-api#visualize-your-graph",
+  "/how-tos/input_output_schema": "https://docs.langchain.com/oss/python/langgraph/graph-api#define-input-and-output-schemas",
+  "/how-tos/pass_private_state": "https://docs.langchain.com/oss/python/langgraph/graph-api#pass-private-state-between-nodes",
+  "/how-tos/state-model": "https://docs.langchain.com/oss/python/langgraph/graph-api#use-pydantic-models-for-graph-state",
+  "/how-tos/map-reduce": "https://docs.langchain.com/oss/python/langgraph/graph-api#map-reduce-and-the-send-api",
+  "/how-tos/command": "https://docs.langchain.com/oss/python/langgraph/graph-api#combine-control-flow-and-state-updates-with-command",
+  "/how-tos/configuration": "https://docs.langchain.com/oss/python/langgraph/graph-api#add-runtime-configuration",
+  "/how-tos/node-retries": "https://docs.langchain.com/oss/python/langgraph/graph-api#add-retry-policies",
+  "/how-tos/return-when-recursion-limit-hits": "https://docs.langchain.com/oss/python/langgraph/graph-api#impose-a-recursion-limit",
+  "/how-tos/async": "https://docs.langchain.com/oss/python/langgraph/graph-api#async",
+  "/how-tos/memory/manage-conversation-history": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/memory/delete-messages": "https://docs.langchain.com/oss/python/langgraph/add-memory#delete-messages",
+  "/how-tos/memory/add-summary-conversation-history": "https://docs.langchain.com/oss/python/langgraph/add-memory#summarize-messages",
+  "/how-tos/memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/agents/memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/subgraph-transform-state": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs#different-state-schemas",
+  "/how-tos/subgraphs-manage-state": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs#add-persistence",
+  "/how-tos/persistence_postgres": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
+  "/how-tos/persistence_mongodb": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
+  "/how-tos/persistence_redis": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
+  "/how-tos/subgraph-persistence": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-with-subgraphs",
+  "/how-tos/cross-thread-persistence": "https://docs.langchain.com/oss/python/langgraph/add-memory#add-long-term-memory",
+  "/cloud/how-tos/copy_threads": "https://docs.langchain.com/langsmith/use-threads",
+  "/cloud/how-tos/check-thread-status": "https://docs.langchain.com/langsmith/use-threads",
+  "/cloud/concepts/threads": "https://docs.langchain.com/oss/python/langgraph/persistence#threads",
+  "/how-tos/persistence": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/tool-calling-errors": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/how-tos/pass-config-to-tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/how-tos/pass-run-time-values-to-tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/how-tos/update-state-from-tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/agents/tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/how-tos/agent-handoffs": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/how-tos/multi-agent-network": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/how-tos/multi-agent-multi-turn-convo": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/cloud/index": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/cloud/how-tos/index": "https://docs.langchain.com/langsmith/home",
+  "/cloud/concepts/api": "https://docs.langchain.com/langsmith/agent-server",
+  "/cloud/concepts/cloud": "https://docs.langchain.com/langsmith/cloud",
+  "/cloud/faq/studio": "https://docs.langchain.com/langsmith/studio",
+  "/cloud/how-tos/human_in_the_loop_edit_state": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
+  "/cloud/how-tos/human_in_the_loop_user_input": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
+  "/concepts/platform_architecture": "https://docs.langchain.com/langsmith/cloud#architecture",
+  "/cloud/how-tos/stream_values": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/how-tos/stream_updates": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/how-tos/stream_messages": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/how-tos/stream_events": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/how-tos/stream_debug": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/how-tos/stream_multiple": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/concepts/streaming": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/agents/streaming": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/create-react-agent": "https://docs.langchain.com/oss/python/langchain/agents#basic-configuration",
+  "/how-tos/create-react-agent-memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/create-react-agent-system-prompt": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/create-react-agent-structured-output": "https://docs.langchain.com/oss/python/langchain/agents#structured-output",
+  "/prebuilt": "https://docs.langchain.com/oss/python/langchain/agents",
+  "/reference/prebuilt": "https://reference.langchain.com/python/langgraph/agents/",
+  "/concepts/high_level": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/concepts/index": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/concepts/v0-human-in-the-loop": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/how-tos/index": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/introduction": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/agents/deployment": "https://docs.langchain.com/oss/python/langgraph/local-server",
+  "/how-tos/deploy-self-hosted": "https://docs.langchain.com/langsmith/platform-setup",
+  "/concepts/self_hosted": "https://docs.langchain.com/langsmith/platform-setup",
+  "/tutorials/deployment": "https://docs.langchain.com/langsmith/deployments",
+  "/cloud/how-tos/assistant_versioning": "https://docs.langchain.com/langsmith/configuration-cloud",
+  "/cloud/concepts/runs": "https://docs.langchain.com/langsmith/assistants#execution",
+  "/how-tos/wait-user-input-functional": "https://docs.langchain.com/oss/python/langgraph/functional-api",
+  "/how-tos/review-tool-calls-functional": "https://docs.langchain.com/oss/python/langgraph/functional-api",
+  "/how-tos/create-react-agent-hitl": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/agents/human-in-the-loop": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/how-tos/human_in_the_loop/dynamic_breakpoints": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/concepts/breakpoints": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/how-tos/human_in_the_loop/breakpoints": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/cloud/how-tos/human_in_the_loop_breakpoint": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
+  "/how-tos/human_in_the_loop/edit-graph-state": "https://docs.langchain.com/oss/python/langgraph/use-time-travel",
+  "/examples/index": "https://docs.langchain.com/oss/python/langgraph/case-studies",
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+  "/how-tos/http/custom_middleware": "https://docs.langchain.com/langsmith/custom-middleware",
+  "/how-tos/http/custom_routes": "https://docs.langchain.com/langsmith/custom-routes",
+  "/cloud/concepts/data_storage_and_privacy": "https://docs.langchain.com/langsmith/data-storage-and-privacy",
+  "/cloud/deployment/semantic_search": "https://docs.langchain.com/langsmith/semantic-search",
+  "/how-tos/ttl/configure_ttl": "https://docs.langchain.com/langsmith/configure-ttl",
+  "/concepts/deployment_options": "https://docs.langchain.com/langsmith/deployments",
+  "/cloud/quick_start": "https://docs.langchain.com/langsmith/deployment-quickstart",
+  "/cloud/deployment/setup": "https://docs.langchain.com/langsmith/setup-app-requirements-txt",
+  "/cloud/deployment/setup_pyproject": "https://docs.langchain.com/langsmith/setup-pyproject",
+  "/cloud/deployment/setup_javascript": "https://docs.langchain.com/langsmith/setup-javascript",
+  "/cloud/deployment/custom_docker": "https://docs.langchain.com/langsmith/custom-docker",
+  "/cloud/deployment/graph_rebuild": "https://docs.langchain.com/langsmith/graph-rebuild",
+  "/concepts/langgraph_cloud": "https://docs.langchain.com/langsmith/cloud",
+  "/concepts/langgraph_self_hosted_data_plane": "https://docs.langchain.com/langsmith/platform-setup",
+  "/concepts/langgraph_self_hosted_control_plane": "https://docs.langchain.com/langsmith/platform-setup",
+  "/concepts/langgraph_standalone_container": "https://docs.langchain.com/langsmith/docker",
+  "/cloud/deployment/cloud": "https://docs.langchain.com/langsmith/cloud",
+  "/cloud/deployment/self_hosted_data_plane": "https://docs.langchain.com/langsmith/platform-setup",
+  "/cloud/deployment/self_hosted_control_plane": "https://docs.langchain.com/langsmith/platform-setup",
+  "/cloud/deployment/standalone_container": "https://docs.langchain.com/langsmith/docker",
+  "/concepts/server-mcp": "https://docs.langchain.com/langsmith/server-mcp",
+  "/cloud/how-tos/human_in_the_loop_time_travel": "https://docs.langchain.com/langsmith/human-in-the-loop-time-travel",
+  "/cloud/how-tos/add-human-in-the-loop": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
+  "/cloud/deployment/egress": "https://docs.langchain.com/langsmith/env-var",
+  "/cloud/how-tos/streaming": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/reference/api/api_ref": "https://docs.langchain.com/langsmith/server-api-ref",
+  "/cloud/reference/langgraph_server_changelog": "https://docs.langchain.com/langsmith/agent-server-changelog",
+  "/cloud/reference/api/api_ref_control_plane": "https://docs.langchain.com/langsmith/api-ref-control-plane",
+  "/cloud/reference/cli": "https://docs.langchain.com/langsmith/cli",
+  "/cloud/reference/env_var": "https://docs.langchain.com/langsmith/env-var",
+  "/troubleshooting/studio": "https://docs.langchain.com/langsmith/troubleshooting-studio",
+  "/index": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/agents/agents": "https://docs.langchain.com/oss/python/langchain/agents",
+  "/concepts/why-langgraph": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/get-started/1-build-basic-chatbot": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/tutorials/get-started/2-add-tools": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/tutorials/get-started/3-add-memory": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/tutorials/get-started/4-human-in-the-loop": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/tutorials/get-started/5-customize-state": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/tutorials/get-started/6-time-travel": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/tutorials/langsmith/local-server": "https://docs.langchain.com/oss/python/langgraph/local-server",
+  "/tutorials/workflows": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/tutorials/plan-and-execute/plan-and-execute": "https://docs.langchain.com/oss/python/langchain/middleware/built-in#to-do-list",
+  "/tutorials/langgraph-platform/local-server/local-server": "https://docs.langchain.com/langsmith/local-server",
+  "/concepts/agentic_concepts": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/agents/overview": "https://docs.langchain.com/oss/python/langchain/agents",
+  "/agents/run_agents": "https://docs.langchain.com/oss/python/langgraph/quickstart",
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+  "/how-tos/graph-api": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/how-tos/react-agent-from-scratch": "https://docs.langchain.com/oss/python/langchain/quickstart",
+  "/concepts/functional_api": "https://docs.langchain.com/oss/python/langgraph/functional-api",
+  "/how-tos/use-functional-api": "https://docs.langchain.com/oss/python/langgraph/functional-api",
+  "/concepts/pregel": "https://docs.langchain.com/oss/python/langgraph/pregel",
+  "/concepts/streaming": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/streaming": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/concepts/persistence": "https://docs.langchain.com/oss/python/langgraph/persistence",
+  "/concepts/durable_execution": "https://docs.langchain.com/oss/python/langgraph/durable-execution",
+  "/concepts/memory": "https://docs.langchain.com/oss/python/langgraph/memory",
+  "/how-tos/memory/add-memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/agents/context": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/agents/models": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/concepts/tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/how-tos/tool-calling": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/concepts/human_in_the_loop": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/how-tos/human_in_the_loop/add-human-in-the-loop": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/concepts/time-travel": "https://docs.langchain.com/oss/python/langgraph/persistence",
+  "/how-tos/human_in_the_loop/time-travel": "https://docs.langchain.com/oss/python/langgraph/use-time-travel",
+  "/concepts/subgraphs": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs",
+  "/how-tos/subgraph": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs",
+  "/concepts/multi_agent": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/agents/multi-agent": "https://docs.langchain.com/oss/python/langchain/multi-agent",
+  "/how-tos/multi_agent": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/concepts/mcp": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/agents/mcp": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/concepts/tracing": "https://docs.langchain.com/oss/python/langgraph/observability",
+  "/how-tos/enable-tracing": "https://docs.langchain.com/oss/python/langgraph/observability",
+  "/agents/evals": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/concepts/template_applications": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/rag/langgraph_agentic_rag": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/tutorials/multi_agent/agent_supervisor": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/tutorials/sql/sql-agent": "https://docs.langchain.com/oss/python/langgraph/sql-agent",
+  "/agents/ui": "https://docs.langchain.com/oss/python/langgraph/ui",
+  "/how-tos/run-id-langsmith": "https://docs.langchain.com/oss/python/langgraph/observability",
+  "/troubleshooting/errors/index": "https://docs.langchain.com/oss/python/langgraph/common-errors",
+  "/troubleshooting/errors/INVALID_CHAT_HISTORY": "https://docs.langchain.com/oss/python/langgraph/INVALID_CHAT_HISTORY",
+  "/troubleshooting/errors/INVALID_LICENSE": "https://docs.langchain.com/oss/python/langgraph/common-errors",
+  "/adopters": "https://docs.langchain.com/oss/python/langgraph/case-studies",
+  "/concepts/faq": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/agents/prebuilt": "https://docs.langchain.com/oss/python/langchain/agents",
+  "/reference/index": "https://reference.langchain.com/python/langgraph/",
+  "/reference/graphs": "https://reference.langchain.com/python/langgraph/graphs/",
+  "/reference/func": "https://reference.langchain.com/python/langgraph/func/",
+  "/reference/pregel": "https://reference.langchain.com/python/langgraph/pregel/",
+  "/reference/checkpoints": "https://reference.langchain.com/python/langgraph/checkpoints/",
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+  "/reference/remote_graph": "https://reference.langchain.com/python/langsmith/deployment/remote_graph/",
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+  "/snippets/chat_model_tabs": "https://docs.langchain.com/oss/python/langchain/overview",
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+  "/examples": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/guides": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/how-tos/autogen-integration-functional": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/how-tos/cross-thread-persistence-functional": "https://docs.langchain.com/oss/python/langgraph/add-memory#add-long-term-memory",
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+  "/how-tos/memory/semantic-search": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/multi-agent-multi-turn-convo-functional": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/how-tos/multi-agent-network-functional": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/how-tos/persistence-functional": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/react-agent-from-scratch-functional": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/reference": "https://reference.langchain.com/python/langgraph/",
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+  "/tutorials/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/chatbots/information-gather-prompting": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/extraction/retries": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/langgraph-platform/local-server": "https://docs.langchain.com/langsmith/agent-server",
+  "/tutorials/lats/lats": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/llm-compiler/LLMCompiler": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/rag/langgraph_adaptive_rag_local": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/tutorials/rag/langgraph_crag": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/tutorials/rag/langgraph_crag_local": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/tutorials/rag/langgraph_self_rag_local": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/tutorials/reflection/reflection": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/reflexion/reflexion": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/rewoo/rewoo": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/self-discover/self-discover": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/tnt-llm/tnt-llm": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/tot/tot": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/usaco/usaco": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/web-navigation/web_voyager": "https://docs.langchain.com/oss/python/langgraph/overview"
+}

libs/checkpoint-conformance/Makefile

@@ -0,0 +1,12 @@
+.PHONY: format lint test
+
+format:
+	uv run ruff format .
+	uv run ruff check --fix .
+
+lint:
+	uv run ruff check .
+	uv run ty check
+
+test:
+	uv run pytest $(TEST)

libs/checkpoint-conformance/README.md

@@ -0,0 +1,111 @@
+# langgraph-checkpoint-conformance
+
+Conformance test suite for [LangGraph](https://github.com/langchain-ai/langgraph) checkpointer implementations.
+
+Validates that a `BaseCheckpointSaver` subclass correctly implements the checkpoint storage contract — blob round-trips, metadata preservation, namespace isolation, incremental channel updates, and more.
+
+## Installation
+
+```bash
+pip install langgraph-checkpoint-conformance
+```
+
+## Quick start
+
+Register your checkpointer with `@checkpointer_test` and run `validate()`:
+
+```python
+import asyncio
+from langgraph.checkpoint.conformance import checkpointer_test, validate
+
+@checkpointer_test(name="MyCheckpointer")
+async def my_checkpointer():
+    saver = MyCheckpointer(...)
+    yield saver
+    # cleanup runs after yield
+
+async def main():
+    report = await validate(my_checkpointer)
+    report.print_report()
+    assert report.passed_all_base()
+
+asyncio.run(main())
+```
+
+Or in a pytest test:
+
+```python
+import pytest
+from langgraph.checkpoint.conformance import checkpointer_test, validate
+
+@checkpointer_test(name="MyCheckpointer")
+async def my_checkpointer():
+    yield MyCheckpointer(...)
+
+@pytest.mark.asyncio
+async def test_conformance():
+    report = await validate(my_checkpointer)
+    report.print_report()
+    assert report.passed_all_base()
+```
+
+## Capabilities
+
+The suite tests **base** capabilities (required) and **extended** capabilities (optional, auto-detected):
+
+| Capability | Required | Method |
+|---|---|---|
+| `put` | yes | `aput` |
+| `put_writes` | yes | `aput_writes` |
+| `get_tuple` | yes | `aget_tuple` |
+| `list` | yes | `alist` |
+| `delete_thread` | yes | `adelete_thread` |
+| `delete_for_runs` | no | `adelete_for_runs` |
+| `copy_thread` | no | `acopy_thread` |
+| `prune` | no | `aprune` |
+
+Extended capabilities are detected by checking whether the method is overridden from `BaseCheckpointSaver`. If not overridden, those tests are skipped.
+
+## Options
+
+### Progress output
+
+```python
+from langgraph.checkpoint.conformance.report import ProgressCallbacks
+
+# Dot-style progress (. per pass, F per fail)
+report = await validate(my_checkpointer, progress=ProgressCallbacks.default())
+
+# Verbose (per-test names + stacktraces on failure)
+report = await validate(my_checkpointer, progress=ProgressCallbacks.verbose())
+```
+
+### Skip capabilities
+
+```python
+@checkpointer_test(name="MyCheckpointer", skip_capabilities={"prune"})
+async def my_checkpointer():
+    yield MyCheckpointer(...)
+```
+
+### Run specific capabilities
+
+```python
+report = await validate(my_checkpointer, capabilities={"put", "list"})
+```
+
+### Lifespan (one-time setup/teardown)
+
+For expensive setup like database creation:
+
+```python
+async def db_lifespan():
+    await create_database()
+    yield
+    await drop_database()
+
+@checkpointer_test(name="PostgresSaver", lifespan=db_lifespan)
+async def pg_checkpointer():
+    async with PostgresSaver.from_conn_string(CONN_STRING) as saver:
+        yield saver
+```

libs/checkpoint-conformance/langgraph/checkpoint/conformance/__init__.py

@@ -0,0 +1,9 @@
+"""langgraph-checkpoint-conformance: conformance test suite for checkpointer implementations."""
+
+from langgraph.checkpoint.conformance.initializer import checkpointer_test
+from langgraph.checkpoint.conformance.validate import validate
+
+__all__ = [
+    "checkpointer_test",
+    "validate",
+]

libs/checkpoint-conformance/langgraph/checkpoint/conformance/capabilities.py

@@ -0,0 +1,93 @@
+"""Capability detection for checkpointer implementations."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from enum import Enum
+from typing import TYPE_CHECKING
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+if TYPE_CHECKING:
+    pass
+
+
+class Capability(str, Enum):
+    """Capabilities that a checkpointer may support."""
+
+    PUT = "put"
+    PUT_WRITES = "put_writes"
+    GET_TUPLE = "get_tuple"
+    LIST = "list"
+    DELETE_THREAD = "delete_thread"
+    DELETE_FOR_RUNS = "delete_for_runs"
+    COPY_THREAD = "copy_thread"
+    PRUNE = "prune"
+
+
+# Capabilities that every checkpointer must support.
+BASE_CAPABILITIES = frozenset(
+    {
+        Capability.PUT,
+        Capability.PUT_WRITES,
+        Capability.GET_TUPLE,
+        Capability.LIST,
+        Capability.DELETE_THREAD,
+    }
+)
+
+# Capabilities that are optional extensions.
+EXTENDED_CAPABILITIES = frozenset(
+    {
+        Capability.DELETE_FOR_RUNS,
+        Capability.COPY_THREAD,
+        Capability.PRUNE,
+    }
+)
+
+ALL_CAPABILITIES = BASE_CAPABILITIES | EXTENDED_CAPABILITIES
+
+# Maps capability to the async method name on BaseCheckpointSaver (or subclass).
+_CAPABILITY_METHOD_MAP: dict[Capability, str] = {
+    Capability.PUT: "aput",
+    Capability.PUT_WRITES: "aput_writes",
+    Capability.GET_TUPLE: "aget_tuple",
+    Capability.LIST: "alist",
+    Capability.DELETE_THREAD: "adelete_thread",
+    Capability.DELETE_FOR_RUNS: "adelete_for_runs",
+    Capability.COPY_THREAD: "acopy_thread",
+    Capability.PRUNE: "aprune",
+}
+
+
+@dataclass(frozen=True)
+class DetectedCapabilities:
+    """Result of capability detection for a checkpointer type."""
+
+    detected: frozenset[Capability]
+    missing: frozenset[Capability]
+
+    @classmethod
+    def from_instance(cls, saver: BaseCheckpointSaver) -> DetectedCapabilities:
+        """Detect capabilities from a checkpointer instance."""
+        inner_type = type(saver)
+        detected: set[Capability] = set()
+
+        for cap, method_name in _CAPABILITY_METHOD_MAP.items():
+            if _is_overridden(inner_type, method_name):
+                detected.add(cap)
+
+        detected_fs = frozenset(detected)
+        return cls(
+            detected=detected_fs,
+            missing=ALL_CAPABILITIES - detected_fs,
+        )
+
+
+def _is_overridden(inner_type: type, method: str) -> bool:
+    """Check if *method* on *inner_type* differs from the base class default."""
+    base = getattr(BaseCheckpointSaver, method, None)
+    impl = getattr(inner_type, method, None)
+    if base is None or impl is None:
+        return impl is not None
+    return impl is not base

libs/checkpoint-conformance/langgraph/checkpoint/conformance/initializer.py

@@ -0,0 +1,100 @@
+"""Checkpointer test registration and factory management."""
+
+from __future__ import annotations
+
+from collections.abc import AsyncGenerator, Callable
+from contextlib import asynccontextmanager
+from dataclasses import dataclass, field
+from typing import Any
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+# Type for the lifespan async context manager factory.
+LifespanFactory = Callable[[], AsyncGenerator[None, None]]
+
+# Module-level registry of decorated checkpointer factories.
+_REGISTRY: dict[str, RegisteredCheckpointer] = {}
+
+
+async def _noop_lifespan() -> AsyncGenerator[None, None]:
+    yield
+
+
+@dataclass
+class RegisteredCheckpointer:
+    """A registered checkpointer test factory."""
+
+    name: str
+    factory: Callable[[], AsyncGenerator[BaseCheckpointSaver, None]]
+    skip_capabilities: set[str] = field(default_factory=set)
+    lifespan: LifespanFactory = _noop_lifespan
+
+    @asynccontextmanager
+    async def create(self) -> AsyncGenerator[BaseCheckpointSaver, None]:
+        """Create a fresh checkpointer instance via the async generator."""
+        gen = self.factory()
+        try:
+            saver = await gen.__anext__()
+            yield saver
+        finally:
+            try:
+                await gen.__anext__()
+            except StopAsyncIteration:
+                pass
+
+    @asynccontextmanager
+    async def enter_lifespan(self) -> AsyncGenerator[None, None]:
+        """Enter the lifespan context (once per validation run)."""
+        gen = self.lifespan()
+        try:
+            await gen.__anext__()
+            yield
+        finally:
+            try:
+                await gen.__anext__()
+            except StopAsyncIteration:
+                pass
+
+
+def checkpointer_test(
+    name: str,
+    *,
+    skip_capabilities: set[str] | None = None,
+    lifespan: LifespanFactory | None = None,
+) -> Callable[[Any], RegisteredCheckpointer]:
+    """Register an async generator as a checkpointer test factory.
+
+    The factory is called once per capability suite to create a fresh
+    checkpointer.  The optional `lifespan` is an async generator that
+    runs once for the entire validation run (e.g. to create/destroy a
+    database).
+
+    Example::
+
+        @checkpointer_test(name="InMemorySaver")
+        async def memory_checkpointer():
+            yield InMemorySaver()
+
+    With lifespan::
+
+        async def pg_lifespan():
+            await create_database()
+            yield
+            await drop_database()
+
+        @checkpointer_test(name="PostgresSaver", lifespan=pg_lifespan)
+        async def pg_checkpointer():
+            yield PostgresSaver(conn_string="...")
+    """
+
+    def decorator(fn: Any) -> RegisteredCheckpointer:
+        registered = RegisteredCheckpointer(
+            name=name,
+            factory=fn,
+            skip_capabilities=skip_capabilities or set(),
+            lifespan=lifespan or _noop_lifespan,
+        )
+        _REGISTRY[name] = registered
+        return registered
+
+    return decorator

libs/checkpoint-conformance/langgraph/checkpoint/conformance/report.py

@@ -0,0 +1,198 @@
+"""Capability report: results, progress callbacks, and pretty-printing."""
+
+from __future__ import annotations
+
+from collections.abc import Callable
+from dataclasses import dataclass, field
+from typing import Any
+
+from langgraph.checkpoint.conformance.capabilities import (
+    BASE_CAPABILITIES,
+    EXTENDED_CAPABILITIES,
+    Capability,
+)
+
+# Callback type for per-test progress reporting.
+# (capability_name, test_name, passed, error_msg_or_None) -> None
+OnTestResult = Callable[[str, str, bool, str | None], None]
+
+# Callback type for capability-level events.
+# (capability_name, detected) -> None
+OnCapabilityStart = Callable[[str, bool], None]
+
+
+class ProgressCallbacks:
+    """Grouped callbacks for progress reporting during validation."""
+
+    def __init__(
+        self,
+        *,
+        on_capability_start: Callable[[str, bool], None] | None = None,
+        on_test_result: OnTestResult | None = None,
+        on_capability_end: Callable[[str], None] | None = None,
+    ) -> None:
+        self.on_capability_start = on_capability_start
+        self.on_test_result = on_test_result
+        self.on_capability_end = on_capability_end
+
+    @classmethod
+    def default(cls) -> ProgressCallbacks:
+        """Dot-style progress: ``.`` per pass, ``F`` per fail."""
+
+        def _cap_start(capability: str, detected: bool) -> None:
+            if detected:
+                print(f"  {capability}: ", end="", flush=True)
+            else:
+                print(f"  ⊘ {capability} (not implemented)")
+
+        def _test_result(
+            capability: str, test_name: str, passed: bool, error: str | None
+        ) -> None:
+            print("." if passed else "F", end="", flush=True)
+
+        def _cap_end(capability: str) -> None:
+            print()  # newline after dots
+
+        return cls(
+            on_capability_start=_cap_start,
+            on_test_result=_test_result,
+            on_capability_end=_cap_end,
+        )
+
+    @classmethod
+    def verbose(cls) -> ProgressCallbacks:
+        """Per-test output with names and errors."""
+
+        def _cap_start(capability: str, detected: bool) -> None:
+            if detected:
+                print(f"  {capability}:")
+            else:
+                print(f"  ⊘ {capability} (not implemented)")
+
+        def _test_result(
+            capability: str, test_name: str, passed: bool, error: str | None
+        ) -> None:
+            icon = "✓" if passed else "✗"
+            print(f"    {icon} {test_name}")
+            if error:
+                for line in error.rstrip().splitlines():
+                    print(f"      {line}")
+
+        return cls(
+            on_capability_start=_cap_start,
+            on_test_result=_test_result,
+        )
+
+    @classmethod
+    def quiet(cls) -> ProgressCallbacks:
+        """No progress output."""
+        return cls()
+
+
+@dataclass
+class CapabilityResult:
+    """Result of running a single capability's test suite."""
+
+    detected: bool = False
+    passed: bool | None = None  # None = skipped
+    tests_passed: int = 0
+    tests_failed: int = 0
+    tests_skipped: int = 0
+    failures: list[str] = field(default_factory=list)
+
+
+@dataclass
+class CapabilityReport:
+    """Aggregate report across all capabilities."""
+
+    checkpointer_name: str
+    results: dict[str, CapabilityResult] = field(default_factory=dict)
+
+    def passed_all_base(self) -> bool:
+        """Whether all base capability tests passed."""
+        for cap in BASE_CAPABILITIES:
+            result = self.results.get(cap.value)
+            if result is None or result.passed is not True:
+                return False
+        return True
+
+    def passed_all(self) -> bool:
+        """Whether every detected capability's tests passed."""
+        for result in self.results.values():
+            if result.detected and result.passed is not True:
+                return False
+        return True
+
+    def conformance_level(self) -> str:
+        """Return a human-readable conformance level string."""
+        if self.passed_all():
+            return "FULL"
+        if self.passed_all_base():
+            return "BASE+PARTIAL"
+        return "BASE" if self._any_base_passed() else "NONE"
+
+    def _any_base_passed(self) -> bool:
+        for cap in BASE_CAPABILITIES:
+            result = self.results.get(cap.value)
+            if result and result.passed is True:
+                return True
+        return False
+
+    def print_report(self) -> None:
+        """Pretty-print the report to stdout."""
+        width = 52
+        border = "=" * width
+        print(f"\n{'':>2}{border}")
+        print(f"{'':>2}  Checkpointer Validation: {self.checkpointer_name}")
+        print(f"{'':>2}{border}")
+
+        def _section(title: str, caps: frozenset[Capability]) -> None:
+            print(f"{'':>2}  {title}")
+            for cap in sorted(caps, key=lambda c: c.value):
+                result = self.results.get(cap.value)
+                if result is None:
+                    icon = "  "
+                    suffix = "(no tests)"
+                elif not result.detected:
+                    icon = "⊘ "
+                    suffix = "(not implemented)"
+                elif result.passed is True:
+                    icon = "✅"
+                    suffix = ""
+                elif result.passed is False:
+                    icon = "❌"
+                    suffix = f"({result.tests_failed} failed)"
+                else:
+                    icon = "⏭ "
+                    suffix = "(skipped)"
+                print(f"{'':>2}    {icon} {cap.value:20s} {suffix}")
+            print()
+
+        _section("BASE CAPABILITIES", BASE_CAPABILITIES)
+        _section("EXTENDED CAPABILITIES", EXTENDED_CAPABILITIES)
+
+        total = sum(1 for r in self.results.values() if r.detected)
+        passed = sum(
+            1 for r in self.results.values() if r.detected and r.passed is True
+        )
+        level = self.conformance_level()
+        print(f"{'':>2}  Result: {level} ({passed}/{total})")
+        print(f"{'':>2}{border}\n")
+
+    def to_dict(self) -> dict[str, Any]:
+        """Return a JSON-serializable dict."""
+        return {
+            "checkpointer_name": self.checkpointer_name,
+            "conformance_level": self.conformance_level(),
+            "results": {
+                name: {
+                    "detected": r.detected,
+                    "passed": r.passed,
+                    "tests_passed": r.tests_passed,
+                    "tests_failed": r.tests_failed,
+                    "tests_skipped": r.tests_skipped,
+                    "failures": r.failures,
+                }
+                for name, r in self.results.items()
+            },
+        }

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/__init__.py

@@ -0,0 +1,27 @@
+"""Test spec modules for each checkpointer capability."""
+
+from langgraph.checkpoint.conformance.spec.test_copy_thread import (
+    run_copy_thread_tests,
+)
+from langgraph.checkpoint.conformance.spec.test_delete_for_runs import (
+    run_delete_for_runs_tests,
+)
+from langgraph.checkpoint.conformance.spec.test_delete_thread import (
+    run_delete_thread_tests,
+)
+from langgraph.checkpoint.conformance.spec.test_get_tuple import run_get_tuple_tests
+from langgraph.checkpoint.conformance.spec.test_list import run_list_tests
+from langgraph.checkpoint.conformance.spec.test_prune import run_prune_tests
+from langgraph.checkpoint.conformance.spec.test_put import run_put_tests
+from langgraph.checkpoint.conformance.spec.test_put_writes import run_put_writes_tests
+
+__all__ = [
+    "run_put_tests",
+    "run_put_writes_tests",
+    "run_get_tuple_tests",
+    "run_list_tests",
+    "run_delete_thread_tests",
+    "run_delete_for_runs_tests",
+    "run_copy_thread_tests",
+    "run_prune_tests",
+]

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_copy_thread.py

@@ -0,0 +1,250 @@
+"""COPY_THREAD capability tests — acopy_thread."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def _setup_source_thread(
+    saver: BaseCheckpointSaver,
+    tid: str,
+    *,
+    n: int = 3,
+    namespaces: list[str] | None = None,
+) -> list[dict]:
+    """Create n checkpoints on tid (optionally across namespaces). Returns stored configs."""
+    nss = namespaces or [""]
+    stored = []
+    for ns in nss:
+        parent_cfg = None
+        for i in range(n):
+            config = generate_config(tid, checkpoint_ns=ns)
+            if parent_cfg:
+                config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                    "checkpoint_id"
+                ]
+            cp = generate_checkpoint(channel_values={"step": i})
+            cp["channel_versions"] = {"step": 1}
+            parent_cfg = await saver.aput(
+                config, cp, generate_metadata(step=i), {"step": 1}
+            )
+            stored.append(parent_cfg)
+    return stored
+
+
+async def test_copy_thread_basic(saver: BaseCheckpointSaver) -> None:
+    """Checkpoints appear on target thread."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    await _setup_source_thread(saver, src)
+
+    await saver.acopy_thread(src, dst)
+    results = []
+    async for tup in saver.alist(generate_config(dst)):
+        results.append(tup)
+    assert len(results) == 3, f"Expected 3 copied checkpoints, got {len(results)}"
+
+
+async def test_copy_thread_all_checkpoints(saver: BaseCheckpointSaver) -> None:
+    """All checkpoints copied, not just latest."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    await _setup_source_thread(saver, src, n=3)
+
+    await saver.acopy_thread(src, dst)
+    src_results = []
+    async for tup in saver.alist(generate_config(src)):
+        src_results.append(tup)
+
+    dst_results = []
+    async for tup in saver.alist(generate_config(dst)):
+        dst_results.append(tup)
+
+    assert len(dst_results) == len(src_results)
+    # Verify content matches
+    for s, d in zip(
+        sorted(src_results, key=lambda t: t.checkpoint["id"]),
+        sorted(dst_results, key=lambda t: t.checkpoint["id"]),
+        strict=True,
+    ):
+        assert s.checkpoint["channel_values"] == d.checkpoint["channel_values"], (
+            f"channel_values mismatch for checkpoint {s.checkpoint['id']}"
+        )
+
+
+async def test_copy_thread_preserves_metadata(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Metadata intact on copied checkpoints."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    await _setup_source_thread(saver, src, n=2)
+
+    await saver.acopy_thread(src, dst)
+    src_tuples = []
+    async for tup in saver.alist(generate_config(src)):
+        src_tuples.append(tup)
+
+    dst_tuples = []
+    async for tup in saver.alist(generate_config(dst)):
+        dst_tuples.append(tup)
+
+    for s, d in zip(
+        sorted(src_tuples, key=lambda t: t.metadata.get("step", 0)),
+        sorted(dst_tuples, key=lambda t: t.metadata.get("step", 0)),
+        strict=True,
+    ):
+        for key in s.metadata:
+            assert s.metadata.get(key) == d.metadata.get(key), (
+                f"metadata[{key!r}] mismatch: {s.metadata.get(key)!r} != {d.metadata.get(key)!r}"
+            )
+
+
+async def test_copy_thread_preserves_namespaces(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Root + child namespaces copied."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    await _setup_source_thread(saver, src, n=1, namespaces=["", "child:1"])
+
+    await saver.acopy_thread(src, dst)
+    for ns in ["", "child:1"]:
+        results = []
+        async for tup in saver.alist(generate_config(dst, checkpoint_ns=ns)):
+            results.append(tup)
+        assert len(results) == 1, (
+            f"Expected 1 checkpoint in namespace '{ns}', got {len(results)}"
+        )
+
+
+async def test_copy_thread_preserves_writes(saver: BaseCheckpointSaver) -> None:
+    """Pending writes copied."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    configs = await _setup_source_thread(saver, src, n=1)
+
+    # Add a write to the source
+    await saver.aput_writes(configs[-1], [("ch", "write_val")], str(uuid4()))
+
+    await saver.acopy_thread(src, dst)
+    tup = await saver.aget_tuple(generate_config(dst))
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 1, (
+        f"Expected 1 write, got {len(tup.pending_writes)}"
+    )
+    assert tup.pending_writes[0][1] == "ch", (
+        f"channel mismatch: {tup.pending_writes[0][1]!r}"
+    )
+    assert tup.pending_writes[0][2] == "write_val", (
+        f"value mismatch: {tup.pending_writes[0][2]!r}"
+    )
+
+
+async def test_copy_thread_preserves_ordering(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Checkpoint order maintained."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    await _setup_source_thread(saver, src, n=4)
+
+    await saver.acopy_thread(src, dst)
+    src_ids = []
+    async for tup in saver.alist(generate_config(src)):
+        src_ids.append(tup.checkpoint["id"])
+
+    dst_ids = []
+    async for tup in saver.alist(generate_config(dst)):
+        dst_ids.append(tup.checkpoint["id"])
+
+    # Order should match (both newest-first)
+    assert src_ids == dst_ids
+
+
+async def test_copy_thread_source_unchanged(saver: BaseCheckpointSaver) -> None:
+    """Source thread still intact after copy."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    await _setup_source_thread(saver, src, n=2)
+
+    # Snapshot source before copy
+    src_before = []
+    async for tup in saver.alist(generate_config(src)):
+        src_before.append(tup.checkpoint["id"])
+
+    await saver.acopy_thread(src, dst)
+    # Source should be unchanged
+    src_after = []
+    async for tup in saver.alist(generate_config(src)):
+        src_after.append(tup.checkpoint["id"])
+
+    assert src_before == src_after
+
+
+async def test_copy_thread_nonexistent_source(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Graceful handling of non-existent source thread."""
+    src = str(uuid4())
+    dst = str(uuid4())
+
+    # Should not raise (or raise a known error)
+    try:
+        await saver.acopy_thread(src, dst)
+    except Exception:
+        pass  # Some implementations may raise; that's acceptable
+
+    # Destination should be empty
+    results = []
+    async for tup in saver.alist(generate_config(dst)):
+        results.append(tup)
+    assert len(results) == 0
+
+
+ALL_COPY_THREAD_TESTS = [
+    test_copy_thread_basic,
+    test_copy_thread_all_checkpoints,
+    test_copy_thread_preserves_metadata,
+    test_copy_thread_preserves_namespaces,
+    test_copy_thread_preserves_writes,
+    test_copy_thread_preserves_ordering,
+    test_copy_thread_source_unchanged,
+    test_copy_thread_nonexistent_source,
+]
+
+
+async def run_copy_thread_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all copy_thread tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_COPY_THREAD_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("copy_thread", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result(
+                    "copy_thread", test_fn.__name__, False, traceback.format_exc()
+                )
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_delete_for_runs.py

@@ -0,0 +1,218 @@
+"""DELETE_FOR_RUNS capability tests — adelete_for_runs."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def _put_with_run_id(
+    saver: BaseCheckpointSaver,
+    tid: str,
+    run_id: str,
+    *,
+    checkpoint_ns: str = "",
+    parent_config: dict | None = None,
+) -> dict:
+    """Put a checkpoint with a run_id in metadata, return stored config."""
+    config = generate_config(tid, checkpoint_ns=checkpoint_ns)
+    if parent_config:
+        config["configurable"]["checkpoint_id"] = parent_config["configurable"][
+            "checkpoint_id"
+        ]
+    cp = generate_checkpoint()
+    md = generate_metadata(run_id=run_id)
+    return await saver.aput(config, cp, md, {})
+
+
+async def test_delete_for_runs_single(saver: BaseCheckpointSaver) -> None:
+    """One run_id removed."""
+    tid = str(uuid4())
+    run1, run2 = str(uuid4()), str(uuid4())
+
+    stored1 = await _put_with_run_id(saver, tid, run1)
+    await _put_with_run_id(saver, tid, run2, parent_config=stored1)
+
+    # Pre-delete: verify both runs exist
+    pre_results = []
+    async for tup in saver.alist(generate_config(tid)):
+        pre_results.append(tup)
+    pre_run_ids = {t.metadata.get("run_id") for t in pre_results}
+    assert run1 in pre_run_ids, "Pre-delete: run1 should exist"
+    assert run2 in pre_run_ids, "Pre-delete: run2 should exist"
+
+    await saver.adelete_for_runs([run1])
+    # run1's checkpoint should be gone; run2 should remain
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+
+    run_ids = {t.metadata.get("run_id") for t in results}
+    assert run1 not in run_ids
+    assert run2 in run_ids
+
+
+async def test_delete_for_runs_multiple(saver: BaseCheckpointSaver) -> None:
+    """List of run_ids removed."""
+    tid = str(uuid4())
+    run1, run2, run3 = str(uuid4()), str(uuid4()), str(uuid4())
+
+    s1 = await _put_with_run_id(saver, tid, run1)
+    s2 = await _put_with_run_id(saver, tid, run2, parent_config=s1)
+    await _put_with_run_id(saver, tid, run3, parent_config=s2)
+
+    # Pre-delete: verify all 3 runs exist
+    pre_results = []
+    async for tup in saver.alist(generate_config(tid)):
+        pre_results.append(tup)
+    pre_run_ids = {t.metadata.get("run_id") for t in pre_results}
+    assert run1 in pre_run_ids, "Pre-delete: run1 should exist"
+    assert run2 in pre_run_ids, "Pre-delete: run2 should exist"
+    assert run3 in pre_run_ids, "Pre-delete: run3 should exist"
+
+    await saver.adelete_for_runs([run1, run2])
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+
+    run_ids = {t.metadata.get("run_id") for t in results}
+    assert run1 not in run_ids
+    assert run2 not in run_ids
+    assert run3 in run_ids
+
+
+async def test_delete_for_runs_preserves_other_runs(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Unrelated runs untouched."""
+    tid = str(uuid4())
+    run_keep = str(uuid4())
+    run_delete = str(uuid4())
+
+    await _put_with_run_id(saver, tid, run_keep)
+    await _put_with_run_id(saver, tid, run_delete)
+
+    # Pre-delete: verify both runs exist
+    pre_results = []
+    async for tup in saver.alist(generate_config(tid)):
+        pre_results.append(tup)
+    pre_run_ids = {t.metadata.get("run_id") for t in pre_results}
+    assert run_keep in pre_run_ids, "Pre-delete: run_keep should exist"
+    assert run_delete in pre_run_ids, "Pre-delete: run_delete should exist"
+
+    await saver.adelete_for_runs([run_delete])
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+
+    run_ids = {t.metadata.get("run_id") for t in results}
+    assert run_keep in run_ids
+
+
+async def test_delete_for_runs_removes_writes(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Associated writes cleaned up."""
+    tid = str(uuid4())
+    run1 = str(uuid4())
+
+    stored = await _put_with_run_id(saver, tid, run1)
+    await saver.aput_writes(stored, [("ch", "val")], str(uuid4()))
+
+    # Pre-delete: verify writes exist
+    pre_tup = await saver.aget_tuple(stored)
+    assert pre_tup is not None, "Pre-delete: checkpoint should exist"
+    assert pre_tup.pending_writes is not None and len(pre_tup.pending_writes) == 1, (
+        f"Pre-delete: expected 1 write, got {len(pre_tup.pending_writes) if pre_tup.pending_writes else 0}"
+    )
+
+    await saver.adelete_for_runs([run1])
+    # The checkpoint (and its writes) should be gone
+    tup = await saver.aget_tuple(stored)
+    assert tup is None
+
+
+async def test_delete_for_runs_empty_list_noop(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Empty list no error."""
+    await saver.adelete_for_runs([])
+
+
+async def test_delete_for_runs_nonexistent_noop(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Missing run_ids no error."""
+    await saver.adelete_for_runs([str(uuid4())])
+
+
+async def test_delete_for_runs_across_namespaces(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """All namespaces cleaned."""
+    tid = str(uuid4())
+    run1 = str(uuid4())
+
+    await _put_with_run_id(saver, tid, run1, checkpoint_ns="")
+    await _put_with_run_id(saver, tid, run1, checkpoint_ns="child:1")
+
+    # Pre-delete: verify run1 present in both namespaces
+    for ns in ["", "child:1"]:
+        pre_results = []
+        async for tup in saver.alist(generate_config(tid, checkpoint_ns=ns)):
+            pre_results.append(tup)
+        pre_run_ids = {t.metadata.get("run_id") for t in pre_results}
+        assert run1 in pre_run_ids, f"Pre-delete: run1 should exist in ns='{ns}'"
+
+    await saver.adelete_for_runs([run1])
+    for ns in ["", "child:1"]:
+        results = []
+        async for tup in saver.alist(generate_config(tid, checkpoint_ns=ns)):
+            results.append(tup)
+        run_ids = {t.metadata.get("run_id") for t in results}
+        assert run1 not in run_ids
+
+
+ALL_DELETE_FOR_RUNS_TESTS = [
+    test_delete_for_runs_single,
+    test_delete_for_runs_multiple,
+    test_delete_for_runs_preserves_other_runs,
+    test_delete_for_runs_removes_writes,
+    test_delete_for_runs_empty_list_noop,
+    test_delete_for_runs_nonexistent_noop,
+    test_delete_for_runs_across_namespaces,
+]
+
+
+async def run_delete_for_runs_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all delete_for_runs tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_DELETE_FOR_RUNS_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("delete_for_runs", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result(
+                    "delete_for_runs", test_fn.__name__, False, traceback.format_exc()
+                )
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_delete_thread.py

@@ -0,0 +1,149 @@
+"""DELETE_THREAD capability tests — adelete_thread."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def test_delete_thread_removes_checkpoints(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """All checkpoints gone after delete."""
+    tid = str(uuid4())
+    parent_cfg = None
+    for i in range(3):
+        config = generate_config(tid)
+        if parent_cfg:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        parent_cfg = await saver.aput(config, cp, generate_metadata(step=i), {})
+
+    # Pre-delete: verify data exists
+    assert await saver.aget_tuple(generate_config(tid)) is not None, (
+        "Pre-delete: checkpoint should exist"
+    )
+
+    await saver.adelete_thread(tid)
+
+    tup = await saver.aget_tuple(generate_config(tid))
+    assert tup is None
+
+    results = []
+    async for t in saver.alist(generate_config(tid)):
+        results.append(t)
+    assert len(results) == 0
+
+
+async def test_delete_thread_removes_writes(saver: BaseCheckpointSaver) -> None:
+    """Pending writes gone after delete."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+    await saver.aput_writes(stored, [("ch", "val")], str(uuid4()))
+
+    # Pre-delete: verify writes exist
+    pre_tup = await saver.aget_tuple(generate_config(tid))
+    assert pre_tup is not None, "Pre-delete: checkpoint should exist"
+    assert pre_tup.pending_writes is not None and len(pre_tup.pending_writes) == 1, (
+        f"Pre-delete: expected 1 write, got {len(pre_tup.pending_writes) if pre_tup.pending_writes else 0}"
+    )
+
+    await saver.adelete_thread(tid)
+
+    tup = await saver.aget_tuple(generate_config(tid))
+    assert tup is None
+
+
+async def test_delete_thread_removes_all_namespaces(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Root + child namespaces both removed."""
+    tid = str(uuid4())
+
+    for ns in ["", "child:1"]:
+        cfg = generate_config(tid, checkpoint_ns=ns)
+        cp = generate_checkpoint()
+        await saver.aput(cfg, cp, generate_metadata(), {})
+
+    # Pre-delete: verify each namespace has data
+    for ns in ["", "child:1"]:
+        pre = await saver.aget_tuple(generate_config(tid, checkpoint_ns=ns))
+        assert pre is not None, f"Pre-delete: namespace '{ns}' should have data"
+
+    await saver.adelete_thread(tid)
+
+    for ns in ["", "child:1"]:
+        tup = await saver.aget_tuple(generate_config(tid, checkpoint_ns=ns))
+        assert tup is None
+
+
+async def test_delete_thread_preserves_other_threads(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Other threads untouched."""
+    tid1, tid2 = str(uuid4()), str(uuid4())
+
+    for tid in (tid1, tid2):
+        cfg = generate_config(tid)
+        cp = generate_checkpoint()
+        await saver.aput(cfg, cp, generate_metadata(), {})
+
+    await saver.adelete_thread(tid1)
+
+    assert await saver.aget_tuple(generate_config(tid1)) is None
+    assert await saver.aget_tuple(generate_config(tid2)) is not None
+
+
+async def test_delete_thread_nonexistent_noop(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """No error for missing thread."""
+    # Should not raise
+    await saver.adelete_thread(str(uuid4()))
+
+
+ALL_DELETE_THREAD_TESTS = [
+    test_delete_thread_removes_checkpoints,
+    test_delete_thread_removes_writes,
+    test_delete_thread_removes_all_namespaces,
+    test_delete_thread_preserves_other_threads,
+    test_delete_thread_nonexistent_noop,
+]
+
+
+async def run_delete_thread_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all delete_thread tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_DELETE_THREAD_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("delete_thread", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result(
+                    "delete_thread", test_fn.__name__, False, traceback.format_exc()
+                )
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_get_tuple.py

@@ -0,0 +1,253 @@
+"""GET_TUPLE capability tests — aget_tuple retrieval."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def test_get_tuple_nonexistent_returns_none(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Missing thread returns None."""
+    config = generate_config(str(uuid4()))
+    tup = await saver.aget_tuple(config)
+    assert tup is None
+
+
+async def test_get_tuple_latest_when_no_checkpoint_id(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Returns newest checkpoint when no checkpoint_id in config."""
+    tid = str(uuid4())
+    ids = []
+    parent_cfg = None
+    for i in range(3):
+        config = generate_config(tid)
+        if parent_cfg:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        parent_cfg = await saver.aput(config, cp, generate_metadata(step=i), {})
+        ids.append(cp["id"])
+
+    # Get without checkpoint_id — should return the latest
+    tup = await saver.aget_tuple(generate_config(tid))
+    assert tup is not None
+    assert tup.checkpoint["id"] == ids[-1]
+    assert tup.metadata["step"] == 2, (
+        f"Expected latest step=2, got {tup.metadata['step']}"
+    )
+
+
+async def test_get_tuple_specific_checkpoint_id(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Returns exact match when checkpoint_id specified."""
+    tid = str(uuid4())
+
+    config1 = generate_config(tid)
+    cp1 = generate_checkpoint()
+    stored1 = await saver.aput(config1, cp1, generate_metadata(step=0), {})
+
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint()
+    await saver.aput(config2, cp2, generate_metadata(step=1), {})
+
+    # Fetch the first one specifically
+    tup = await saver.aget_tuple(stored1)
+    assert tup is not None
+    assert tup.checkpoint["id"] == cp1["id"]
+
+
+async def test_get_tuple_config_structure(saver: BaseCheckpointSaver) -> None:
+    """tuple.config has thread_id, checkpoint_ns, checkpoint_id."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    conf = tup.config["configurable"]
+    assert conf["thread_id"] == tid
+    assert conf.get("checkpoint_ns", "") == "", (
+        f"Expected checkpoint_ns='', got {conf.get('checkpoint_ns')!r}"
+    )
+    assert conf["checkpoint_id"] == cp["id"]
+
+
+async def test_get_tuple_checkpoint_fields(saver: BaseCheckpointSaver) -> None:
+    """All Checkpoint fields present."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint(channel_values={"k": "v"})
+    cp["channel_versions"] = {"k": 1}
+    stored = await saver.aput(config, cp, generate_metadata(), {"k": 1})
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    c = tup.checkpoint
+    assert c["id"] == cp["id"], f"id mismatch: {c['id']!r} != {cp['id']!r}"
+    assert c["v"] == 1, f"Expected v=1, got {c['v']!r}"
+    assert "ts" in c and c["ts"], "ts should be non-empty"
+    assert c["channel_values"] == {"k": "v"}, f"channel_values: {c['channel_values']!r}"
+    assert "channel_versions" in c
+    assert "versions_seen" in c
+
+
+async def test_get_tuple_metadata(saver: BaseCheckpointSaver) -> None:
+    """metadata populated correctly."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    md = generate_metadata(source="input", step=-1)
+    stored = await saver.aput(config, cp, md, {})
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.metadata["source"] == "input"
+    assert tup.metadata["step"] == -1
+
+
+async def test_get_tuple_parent_config(saver: BaseCheckpointSaver) -> None:
+    """parent_config when parent exists, None otherwise."""
+    tid = str(uuid4())
+
+    # First checkpoint — no parent
+    config1 = generate_config(tid)
+    cp1 = generate_checkpoint()
+    stored1 = await saver.aput(config1, cp1, generate_metadata(step=0), {})
+
+    tup1 = await saver.aget_tuple(stored1)
+    assert tup1 is not None
+    assert tup1.parent_config is None
+
+    # Second checkpoint — has parent
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint()
+    stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {})
+
+    tup2 = await saver.aget_tuple(stored2)
+    assert tup2 is not None
+    assert tup2.parent_config is not None
+    assert (
+        tup2.parent_config["configurable"]["checkpoint_id"]
+        == stored1["configurable"]["checkpoint_id"]
+    )
+
+
+async def test_get_tuple_pending_writes(saver: BaseCheckpointSaver) -> None:
+    """pending_writes from put_writes visible."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    await saver.aput_writes(stored, [("ch", "val")], task_id)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 1, (
+        f"Expected 1 write, got {len(tup.pending_writes)}"
+    )
+    assert tup.pending_writes[0][0] == task_id, (
+        f"task_id mismatch: {tup.pending_writes[0][0]!r}"
+    )
+    assert tup.pending_writes[0][1] == "ch", (
+        f"channel mismatch: {tup.pending_writes[0][1]!r}"
+    )
+    assert tup.pending_writes[0][2] == "val", (
+        f"value mismatch: {tup.pending_writes[0][2]!r}"
+    )
+
+
+async def test_get_tuple_respects_namespace(saver: BaseCheckpointSaver) -> None:
+    """checkpoint_ns filtering."""
+    tid = str(uuid4())
+
+    cfg_root = generate_config(tid, checkpoint_ns="")
+    cp_root = generate_checkpoint()
+    stored_root = await saver.aput(cfg_root, cp_root, generate_metadata(), {})
+
+    cfg_child = generate_config(tid, checkpoint_ns="child:1")
+    cp_child = generate_checkpoint()
+    stored_child = await saver.aput(cfg_child, cp_child, generate_metadata(), {})
+
+    tup_root = await saver.aget_tuple(stored_root)
+    assert tup_root is not None
+    assert tup_root.checkpoint["id"] == cp_root["id"]
+
+    tup_child = await saver.aget_tuple(stored_child)
+    assert tup_child is not None
+    assert tup_child.checkpoint["id"] == cp_child["id"]
+
+
+async def test_get_tuple_nonexistent_checkpoint_id(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Specific but missing checkpoint_id returns None."""
+    tid = str(uuid4())
+    nonexistent_id = str(uuid4())
+    # Put one checkpoint so the thread exists
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    await saver.aput(config, cp, generate_metadata(), {})
+
+    # Ask for a non-existent checkpoint_id
+    bad_cfg = generate_config(tid, checkpoint_id=nonexistent_id)
+    tup = await saver.aget_tuple(bad_cfg)
+    assert tup is None
+
+
+ALL_GET_TUPLE_TESTS = [
+    test_get_tuple_nonexistent_returns_none,
+    test_get_tuple_latest_when_no_checkpoint_id,
+    test_get_tuple_specific_checkpoint_id,
+    test_get_tuple_config_structure,
+    test_get_tuple_checkpoint_fields,
+    test_get_tuple_metadata,
+    test_get_tuple_parent_config,
+    test_get_tuple_pending_writes,
+    test_get_tuple_respects_namespace,
+    test_get_tuple_nonexistent_checkpoint_id,
+]
+
+
+async def run_get_tuple_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all get_tuple tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_GET_TUPLE_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("get_tuple", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result(
+                    "get_tuple", test_fn.__name__, False, traceback.format_exc()
+                )
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_list.py

@@ -0,0 +1,414 @@
+"""LIST capability tests — alist with various filters."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def _setup_list_data(saver: BaseCheckpointSaver) -> dict:
+    """Populate saver with test data for list tests. Returns lookup info."""
+    tid = str(uuid4())
+    ids = []
+    parent_cfg = None
+    for i in range(4):
+        config = generate_config(tid)
+        if parent_cfg:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        source = "input" if i % 2 == 0 else "loop"
+        md = generate_metadata(source=source, step=i)
+        parent_cfg = await saver.aput(config, cp, md, {})
+        ids.append(cp["id"])
+
+    return {
+        "thread_id": tid,
+        "checkpoint_ids": ids,
+        "latest_config": parent_cfg,
+    }
+
+
+async def test_list_all(saver: BaseCheckpointSaver) -> None:
+    """No filters returns all checkpoints for the thread."""
+    data = await _setup_list_data(saver)
+    tid = data["thread_id"]
+
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+
+    assert len(results) == 4
+
+
+async def test_list_by_thread(saver: BaseCheckpointSaver) -> None:
+    """Filter by thread_id — other threads not returned."""
+    data = await _setup_list_data(saver)
+
+    # List for a non-existent thread
+    results = []
+    async for tup in saver.alist(generate_config(str(uuid4()))):
+        results.append(tup)
+    assert len(results) == 0
+
+    # List for actual thread
+    results = []
+    async for tup in saver.alist(generate_config(data["thread_id"])):
+        results.append(tup)
+    assert len(results) == 4
+
+
+async def test_list_by_namespace(saver: BaseCheckpointSaver) -> None:
+    """Filter by checkpoint_ns."""
+    tid = str(uuid4())
+
+    # Root namespace
+    cfg1 = generate_config(tid, checkpoint_ns="")
+    cp1 = generate_checkpoint()
+    await saver.aput(cfg1, cp1, generate_metadata(), {})
+
+    # Child namespace
+    cfg2 = generate_config(tid, checkpoint_ns="child:1")
+    cp2 = generate_checkpoint()
+    await saver.aput(cfg2, cp2, generate_metadata(), {})
+
+    root_results = []
+    async for tup in saver.alist(generate_config(tid, checkpoint_ns="")):
+        root_results.append(tup)
+    assert len(root_results) == 1
+
+    child_results = []
+    async for tup in saver.alist(generate_config(tid, checkpoint_ns="child:1")):
+        child_results.append(tup)
+    assert len(child_results) == 1
+
+
+async def test_list_ordering(saver: BaseCheckpointSaver) -> None:
+    """Newest first (descending checkpoint_id)."""
+    data = await _setup_list_data(saver)
+    ids = data["checkpoint_ids"]
+
+    results = []
+    async for tup in saver.alist(generate_config(data["thread_id"])):
+        results.append(tup.checkpoint["id"])
+
+    # Should be in reverse order (newest first)
+    assert results == list(reversed(ids))
+
+
+async def test_list_metadata_filter_single_key(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """filter={'source': 'input'} returns only input checkpoints."""
+    data = await _setup_list_data(saver)
+
+    results = []
+    async for tup in saver.alist(
+        generate_config(data["thread_id"]),
+        filter={"source": "input"},
+    ):
+        results.append(tup)
+
+    assert len(results) == 2, (
+        f"Expected 2 'input' checkpoints (steps 0,2), got {len(results)}"
+    )
+    for tup in results:
+        assert tup.metadata["source"] == "input"
+
+
+async def test_list_metadata_filter_step(saver: BaseCheckpointSaver) -> None:
+    """filter={'step': 1} returns matching checkpoints."""
+    data = await _setup_list_data(saver)
+
+    results = []
+    async for tup in saver.alist(
+        generate_config(data["thread_id"]),
+        filter={"step": 1},
+    ):
+        results.append(tup)
+
+    assert len(results) == 1
+    assert results[0].metadata["step"] == 1
+
+
+async def test_list_before(saver: BaseCheckpointSaver) -> None:
+    """Pagination cursor — only checkpoints before the given one."""
+    data = await _setup_list_data(saver)
+    ids = data["checkpoint_ids"]
+
+    # Use the 3rd checkpoint as the 'before' cursor (index 2)
+    before_cfg = generate_config(data["thread_id"], checkpoint_id=ids[2])
+    results = []
+    async for tup in saver.alist(
+        generate_config(data["thread_id"]),
+        before=before_cfg,
+    ):
+        results.append(tup)
+
+    # Should only include checkpoints before ids[2]
+    result_ids = [t.checkpoint["id"] for t in results]
+    assert ids[2] not in result_ids
+    assert ids[3] not in result_ids
+    assert set(result_ids) == {ids[0], ids[1]}, (
+        f"Expected {{ids[0], ids[1]}}, got {set(result_ids)}"
+    )
+
+
+async def test_list_limit(saver: BaseCheckpointSaver) -> None:
+    """limit=1, limit=N."""
+    data = await _setup_list_data(saver)
+
+    results = []
+    async for tup in saver.alist(generate_config(data["thread_id"]), limit=1):
+        results.append(tup)
+    assert len(results) == 1
+
+    results = []
+    async for tup in saver.alist(generate_config(data["thread_id"]), limit=2):
+        results.append(tup)
+    assert len(results) == 2
+
+
+async def test_list_limit_plus_before(saver: BaseCheckpointSaver) -> None:
+    """Pagination with limit."""
+    data = await _setup_list_data(saver)
+    ids = data["checkpoint_ids"]
+
+    before_cfg = generate_config(data["thread_id"], checkpoint_id=ids[3])
+    results = []
+    async for tup in saver.alist(
+        generate_config(data["thread_id"]),
+        before=before_cfg,
+        limit=1,
+    ):
+        results.append(tup)
+
+    assert len(results) == 1
+    assert results[0].checkpoint["id"] == ids[2]
+
+
+async def test_list_combined_thread_and_filter(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """thread_id + metadata filter combined."""
+    data = await _setup_list_data(saver)
+
+    results = []
+    async for tup in saver.alist(
+        generate_config(data["thread_id"]),
+        filter={"source": "loop"},
+    ):
+        results.append(tup)
+
+    assert len(results) == 2, (
+        f"Expected 2 'loop' checkpoints (steps 1,3), got {len(results)}"
+    )
+    for tup in results:
+        assert tup.metadata["source"] == "loop"
+
+
+async def test_list_empty_result(saver: BaseCheckpointSaver) -> None:
+    """No matches returns empty."""
+    results = []
+    async for tup in saver.alist(
+        generate_config(str(uuid4())),
+        filter={"source": "nonexistent"},
+    ):
+        results.append(tup)
+    assert len(results) == 0
+
+
+async def test_list_includes_pending_writes(saver: BaseCheckpointSaver) -> None:
+    """pending_writes in listed tuples."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    await saver.aput_writes(stored, [("ch", "val")], str(uuid4()))
+
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+
+    assert len(results) == 1
+    assert results[0].pending_writes is not None
+    assert len(results[0].pending_writes) == 1, (
+        f"Expected 1 write, got {len(results[0].pending_writes)}"
+    )
+    assert results[0].pending_writes[0][1] == "ch", (
+        f"channel mismatch: {results[0].pending_writes[0][1]!r}"
+    )
+    assert results[0].pending_writes[0][2] == "val", (
+        f"value mismatch: {results[0].pending_writes[0][2]!r}"
+    )
+
+
+async def test_list_multiple_namespaces(saver: BaseCheckpointSaver) -> None:
+    """Root namespace checkpoint listed correctly."""
+    tid = str(uuid4())
+
+    for ns in ["", "child:1", "child:2"]:
+        cfg = generate_config(tid, checkpoint_ns=ns)
+        cp = generate_checkpoint()
+        await saver.aput(cfg, cp, generate_metadata(), {})
+
+    # List with root namespace filter — should return exactly the root checkpoint
+    results = []
+    async for tup in saver.alist(generate_config(tid, checkpoint_ns="")):
+        results.append(tup)
+    assert len(results) == 1, f"Expected 1 root checkpoint, got {len(results)}"
+
+
+async def test_list_metadata_filter_multiple_keys(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """filter with multiple keys — all must match."""
+    tid = str(uuid4())
+
+    # Create checkpoints with different metadata combos
+    for source, step in [("input", 1), ("loop", 1), ("input", 2)]:
+        cfg = generate_config(tid)
+        cp = generate_checkpoint()
+        await saver.aput(cfg, cp, generate_metadata(source=source, step=step), {})
+
+    results = []
+    async for tup in saver.alist(
+        generate_config(tid),
+        filter={"source": "input", "step": 2},
+    ):
+        results.append(tup)
+
+    assert len(results) == 1, (
+        f"Expected 1 match for source=input+step=2, got {len(results)}"
+    )
+    assert results[0].metadata["source"] == "input"
+    assert results[0].metadata["step"] == 2
+
+
+async def test_list_metadata_filter_no_match(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Multi-key filter that matches nothing returns empty."""
+    data = await _setup_list_data(saver)
+
+    results = []
+    async for tup in saver.alist(
+        generate_config(data["thread_id"]),
+        filter={"source": "update", "step": 99},
+    ):
+        results.append(tup)
+
+    assert len(results) == 0
+
+
+async def test_list_metadata_custom_keys(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Custom (non-standard) metadata keys are filterable."""
+    tid = str(uuid4())
+
+    cfg = generate_config(tid)
+    cp = generate_checkpoint()
+    await saver.aput(cfg, cp, generate_metadata(score=42, run_id="run-abc"), {})
+
+    cfg2 = generate_config(tid)
+    cp2 = generate_checkpoint()
+    await saver.aput(cfg2, cp2, generate_metadata(score=99, run_id="run-xyz"), {})
+
+    # Filter by custom key
+    results = []
+    async for tup in saver.alist(
+        generate_config(tid),
+        filter={"score": 42},
+    ):
+        results.append(tup)
+
+    assert len(results) == 1
+    assert results[0].metadata["score"] == 42
+    assert results[0].metadata["run_id"] == "run-abc"
+
+
+async def test_list_global_search(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """alist(None, filter=...) searches across all threads."""
+    tid1, tid2 = str(uuid4()), str(uuid4())
+
+    # Use a unique marker so we don't collide with other tests' data
+    marker = str(uuid4())
+
+    cfg1 = generate_config(tid1)
+    cp1 = generate_checkpoint()
+    await saver.aput(cfg1, cp1, generate_metadata(source="input", marker=marker), {})
+
+    cfg2 = generate_config(tid2)
+    cp2 = generate_checkpoint()
+    await saver.aput(cfg2, cp2, generate_metadata(source="loop", marker=marker), {})
+
+    # Search across all threads with filter
+    results = []
+    async for tup in saver.alist(None, filter={"source": "input", "marker": marker}):
+        results.append(tup)
+    assert len(results) == 1
+    assert results[0].config["configurable"]["thread_id"] == tid1
+
+    # Search with marker only — should find both
+    results = []
+    async for tup in saver.alist(None, filter={"marker": marker}):
+        results.append(tup)
+    assert len(results) == 2
+
+
+ALL_LIST_TESTS = [
+    test_list_all,
+    test_list_by_thread,
+    test_list_by_namespace,
+    test_list_ordering,
+    test_list_metadata_filter_single_key,
+    test_list_metadata_filter_step,
+    test_list_metadata_filter_multiple_keys,
+    test_list_metadata_filter_no_match,
+    test_list_metadata_custom_keys,
+    test_list_global_search,
+    test_list_before,
+    test_list_limit,
+    test_list_limit_plus_before,
+    test_list_combined_thread_and_filter,
+    test_list_empty_result,
+    test_list_includes_pending_writes,
+    test_list_multiple_namespaces,
+]
+
+
+async def run_list_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all list tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_LIST_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("list", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result("list", test_fn.__name__, False, traceback.format_exc())
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_prune.py

@@ -0,0 +1,217 @@
+"""PRUNE capability tests — aprune(strategy)."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def _setup_thread(saver: BaseCheckpointSaver, tid: str, n: int = 3) -> list[dict]:
+    """Create n checkpoints on tid. Returns stored configs."""
+    stored = []
+    parent_cfg = None
+    for i in range(n):
+        config = generate_config(tid)
+        if parent_cfg:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        parent_cfg = await saver.aput(config, cp, generate_metadata(step=i), {})
+        stored.append(parent_cfg)
+    return stored
+
+
+async def test_prune_keep_latest_single_thread(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Only latest checkpoint survives."""
+    tid = str(uuid4())
+    configs = await _setup_thread(saver, tid, n=4)
+
+    await saver.aprune([tid], strategy="keep_latest")
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+
+    assert len(results) == 1
+    assert (
+        results[0].config["configurable"]["checkpoint_id"]
+        == configs[-1]["configurable"]["checkpoint_id"]
+    )
+
+
+async def test_prune_keep_latest_multiple_threads(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Each thread keeps its latest."""
+    tid1, tid2 = str(uuid4()), str(uuid4())
+    c1 = await _setup_thread(saver, tid1, n=3)
+    c2 = await _setup_thread(saver, tid2, n=2)
+
+    await saver.aprune([tid1, tid2], strategy="keep_latest")
+    for tid, expected_last in [(tid1, c1[-1]), (tid2, c2[-1])]:
+        results = []
+        async for tup in saver.alist(generate_config(tid)):
+            results.append(tup)
+        assert len(results) == 1
+        assert (
+            results[0].config["configurable"]["checkpoint_id"]
+            == expected_last["configurable"]["checkpoint_id"]
+        )
+
+
+async def test_prune_keep_latest_across_namespaces(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Latest per namespace kept."""
+    tid = str(uuid4())
+
+    # Root namespace: 3 checkpoints
+    parent = None
+    for i in range(3):
+        cfg = generate_config(tid, checkpoint_ns="")
+        if parent:
+            cfg["configurable"]["checkpoint_id"] = parent["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        parent = await saver.aput(cfg, cp, generate_metadata(step=i), {})
+    root_latest = parent
+
+    # Child namespace: 2 checkpoints
+    parent = None
+    for i in range(2):
+        cfg = generate_config(tid, checkpoint_ns="child:1")
+        if parent:
+            cfg["configurable"]["checkpoint_id"] = parent["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        parent = await saver.aput(cfg, cp, generate_metadata(step=i), {})
+    child_latest = parent
+
+    assert root_latest is not None
+    assert child_latest is not None
+    await saver.aprune([tid], strategy="keep_latest")
+    for ns, expected in [("", root_latest), ("child:1", child_latest)]:
+        results = []
+        async for tup in saver.alist(generate_config(tid, checkpoint_ns=ns)):
+            results.append(tup)
+        assert len(results) == 1
+        assert (
+            results[0].config["configurable"]["checkpoint_id"]
+            == expected["configurable"]["checkpoint_id"]
+        )
+
+
+async def test_prune_keep_latest_preserves_writes(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Latest checkpoint's writes kept."""
+    tid = str(uuid4())
+    configs = await _setup_thread(saver, tid, n=3)
+
+    # Add writes to the latest
+    await saver.aput_writes(configs[-1], [("ch", "val")], str(uuid4()))
+
+    await saver.aprune([tid], strategy="keep_latest")
+    tup = await saver.aget_tuple(generate_config(tid))
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 1, (
+        f"Expected 1 write, got {len(tup.pending_writes)}"
+    )
+    assert tup.pending_writes[0][1] == "ch", (
+        f"channel mismatch: {tup.pending_writes[0][1]!r}"
+    )
+    assert tup.pending_writes[0][2] == "val", (
+        f"value mismatch: {tup.pending_writes[0][2]!r}"
+    )
+
+
+async def test_prune_delete_all(saver: BaseCheckpointSaver) -> None:
+    """delete_all strategy removes everything."""
+    tid = str(uuid4())
+    await _setup_thread(saver, tid, n=3)
+
+    await saver.aprune([tid], strategy="delete")
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+    assert len(results) == 0
+
+
+async def test_prune_preserves_other_threads(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Unlisted threads untouched."""
+    tid1, tid2 = str(uuid4()), str(uuid4())
+    await _setup_thread(saver, tid1, n=3)
+    await _setup_thread(saver, tid2, n=2)
+
+    # Snapshot tid2 before prune
+    pre_ids = []
+    async for tup in saver.alist(generate_config(tid2)):
+        pre_ids.append(tup.checkpoint["id"])
+
+    await saver.aprune([tid1], strategy="keep_latest")
+    # tid2 should be fully intact — same checkpoint IDs
+    post_ids = []
+    async for tup in saver.alist(generate_config(tid2)):
+        post_ids.append(tup.checkpoint["id"])
+    assert post_ids == pre_ids, f"tid2 changed: {pre_ids} -> {post_ids}"
+
+
+async def test_prune_empty_list_noop(saver: BaseCheckpointSaver) -> None:
+    """Empty thread_ids no error."""
+    await saver.aprune([], strategy="keep_latest")
+
+
+async def test_prune_nonexistent_noop(saver: BaseCheckpointSaver) -> None:
+    """Missing threads no error."""
+    await saver.aprune([str(uuid4())], strategy="keep_latest")
+
+
+ALL_PRUNE_TESTS = [
+    test_prune_keep_latest_single_thread,
+    test_prune_keep_latest_multiple_threads,
+    test_prune_keep_latest_across_namespaces,
+    test_prune_keep_latest_preserves_writes,
+    test_prune_delete_all,
+    test_prune_preserves_other_threads,
+    test_prune_empty_list_noop,
+    test_prune_nonexistent_noop,
+]
+
+
+async def run_prune_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all prune tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_PRUNE_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("prune", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result("prune", test_fn.__name__, False, traceback.format_exc())
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_put.py

@@ -0,0 +1,411 @@
+"""PUT capability tests — aput + aget_tuple round-trip."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from typing import Any
+from uuid import uuid4
+
+from langgraph.checkpoint.base import (
+    BaseCheckpointSaver,
+    ChannelVersions,
+)
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def test_put_returns_config(saver: BaseCheckpointSaver) -> None:
+    """aput returns a RunnableConfig with thread_id, checkpoint_ns, checkpoint_id."""
+    config = generate_config()
+    cp = generate_checkpoint(channel_values={"k": "v"})
+    cp["channel_versions"] = {"k": 1}
+    md = generate_metadata()
+
+    result = await saver.aput(config, cp, md, {"k": 1})
+
+    assert "configurable" in result
+    conf = result["configurable"]
+    assert "thread_id" in conf
+    assert "checkpoint_ns" in conf
+    assert "checkpoint_id" in conf
+    assert conf["checkpoint_id"] == cp["id"]
+
+
+async def test_put_roundtrip(saver: BaseCheckpointSaver) -> None:
+    """put then get_tuple returns identical checkpoint."""
+    config = generate_config()
+    cp = generate_checkpoint(channel_values={"msg": "hello"})
+    cp["channel_versions"] = {"msg": 1}
+    md = generate_metadata(source="input", step=-1)
+
+    stored_config = await saver.aput(config, cp, md, {"msg": 1})
+
+    tup = await saver.aget_tuple(stored_config)
+    assert tup is not None
+    assert tup.checkpoint["id"] == cp["id"]
+    assert tup.checkpoint["channel_values"] == {"msg": "hello"}
+
+
+async def test_put_preserves_channel_values(saver: BaseCheckpointSaver) -> None:
+    """Various types (str, int, list, dict, bytes, None) round-trip correctly."""
+    values: dict[str, Any] = {
+        "str_val": "hello",
+        "int_val": 42,
+        "list_val": [1, 2, 3],
+        "dict_val": {"nested": True},
+    }
+    config = generate_config()
+    cp = generate_checkpoint(channel_values=values)
+    versions: ChannelVersions = {k: 1 for k in values}
+    cp["channel_versions"] = versions
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, versions)
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    for k, v in values.items():
+        assert tup.checkpoint["channel_values"].get(k) == v, (
+            f"channel_values[{k}]: expected {v!r}, got {tup.checkpoint['channel_values'].get(k)!r}"
+        )
+
+
+async def test_put_preserves_channel_versions(saver: BaseCheckpointSaver) -> None:
+    """ChannelVersions round-trip correctly."""
+    versions: ChannelVersions = {"a": 1, "b": 2}
+    config = generate_config()
+    cp = generate_checkpoint(
+        channel_values={"a": "x", "b": "y"}, channel_versions=versions
+    )
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, versions)
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    # Compare version values — checkpointers may convert int to str
+    for k, expected in versions.items():
+        actual = tup.checkpoint["channel_versions"].get(k)
+        assert actual is not None, f"channel_versions[{k}] missing"
+        assert str(actual).split(".")[0] == str(expected).split(".")[0], (
+            f"channel_versions[{k}]: expected {expected!r}, got {actual!r}"
+        )
+
+
+async def test_put_preserves_versions_seen(saver: BaseCheckpointSaver) -> None:
+    """versions_seen dict round-trips."""
+    vs: dict[str, ChannelVersions] = {"node1": {"ch": 1}, "node2": {"ch": 2}}
+    config = generate_config()
+    cp = generate_checkpoint(versions_seen=vs)
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    for node in vs:
+        assert node in tup.checkpoint["versions_seen"], f"versions_seen[{node}] missing"
+
+
+async def test_put_preserves_metadata(saver: BaseCheckpointSaver) -> None:
+    """Metadata source, step, parents, and custom keys round-trip."""
+    md = generate_metadata(source="loop", step=3, custom_key="custom_value")
+    config = generate_config()
+    cp = generate_checkpoint()
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.metadata["source"] == "loop"
+    assert tup.metadata["step"] == 3
+    assert tup.metadata.get("custom_key") == "custom_value"
+
+
+async def test_put_root_namespace(saver: BaseCheckpointSaver) -> None:
+    """checkpoint_ns='' works."""
+    config = generate_config(checkpoint_ns="")
+    cp = generate_checkpoint()
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.config["configurable"].get("checkpoint_ns", "") == ""
+
+
+async def test_put_child_namespace(saver: BaseCheckpointSaver) -> None:
+    """checkpoint_ns='child:abc' works."""
+    config = generate_config(checkpoint_ns="child:abc")
+    cp = generate_checkpoint()
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.config["configurable"]["checkpoint_ns"] == "child:abc"
+
+
+async def test_put_default_namespace(saver: BaseCheckpointSaver) -> None:
+    """Config without checkpoint_ns defaults to ''."""
+    tid = str(uuid4())
+    config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
+    cp = generate_checkpoint()
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+
+
+async def test_put_multiple_checkpoints_same_thread(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Sequential puts on same thread, all retrievable."""
+    tid = str(uuid4())
+    ids = []
+    parent_cfg = None
+    for i in range(3):
+        config = generate_config(tid)
+        if parent_cfg is not None:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        md = generate_metadata(step=i)
+        parent_cfg = await saver.aput(config, cp, md, {})
+        ids.append(cp["id"])
+
+    # All three should be retrievable
+    for cid in ids:
+        cfg = generate_config(tid, checkpoint_id=cid)
+        tup = await saver.aget_tuple(cfg)
+        assert tup is not None, f"checkpoint {cid} not found"
+        assert tup.checkpoint["id"] == cid
+
+
+async def test_put_multiple_threads_isolated(saver: BaseCheckpointSaver) -> None:
+    """Different thread_ids don't interfere."""
+    tid1, tid2 = str(uuid4()), str(uuid4())
+
+    config1 = generate_config(tid1)
+    cp1 = generate_checkpoint(channel_values={"x": "thread1"})
+    cp1["channel_versions"] = {"x": 1}
+    await saver.aput(config1, cp1, generate_metadata(), {"x": 1})
+
+    config2 = generate_config(tid2)
+    cp2 = generate_checkpoint(channel_values={"x": "thread2"})
+    cp2["channel_versions"] = {"x": 1}
+    await saver.aput(config2, cp2, generate_metadata(), {"x": 1})
+
+    tup1 = await saver.aget_tuple(generate_config(tid1))
+    tup2 = await saver.aget_tuple(generate_config(tid2))
+    assert tup1 is not None and tup2 is not None
+    assert tup1.checkpoint["channel_values"]["x"] == "thread1"
+    assert tup2.checkpoint["channel_values"]["x"] == "thread2"
+
+
+async def test_put_parent_config(saver: BaseCheckpointSaver) -> None:
+    """parent checkpoint_id tracked correctly."""
+    tid = str(uuid4())
+    config1 = generate_config(tid)
+    cp1 = generate_checkpoint()
+    stored1 = await saver.aput(config1, cp1, generate_metadata(step=0), {})
+
+    # Second checkpoint — its config carries the parent checkpoint_id
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint()
+    stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {})
+
+    tup = await saver.aget_tuple(stored2)
+    assert tup is not None
+    assert tup.parent_config is not None
+    assert (
+        tup.parent_config["configurable"]["checkpoint_id"]
+        == stored1["configurable"]["checkpoint_id"]
+    )
+
+
+async def test_put_incremental_channel_update(saver: BaseCheckpointSaver) -> None:
+    """Only updated channels need new blobs; unchanged channels loaded from prior versions."""
+    tid = str(uuid4())
+
+    # Checkpoint 1: both channels are new
+    config1 = generate_config(tid)
+    cp1 = generate_checkpoint(
+        channel_values={"a": "v1", "b": "v2"},
+        channel_versions={"a": 1, "b": 1},
+    )
+    stored1 = await saver.aput(
+        config1, cp1, generate_metadata(step=0), {"a": 1, "b": 1}
+    )
+
+    # Checkpoint 2: only 'a' is updated
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint(
+        channel_values={"a": "v1_updated", "b": "v2"},
+        channel_versions={"a": 2, "b": 1},
+    )
+    stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {"a": 2})
+
+    # cp2 should reconstruct full channel_values from blobs at mixed versions
+    tup2 = await saver.aget_tuple(stored2)
+    assert tup2 is not None
+    assert tup2.checkpoint["channel_values"].get("a") == "v1_updated", (
+        f"a: expected 'v1_updated', got {tup2.checkpoint['channel_values'].get('a')!r}"
+    )
+    assert tup2.checkpoint["channel_values"].get("b") == "v2", (
+        f"b: expected 'v2', got {tup2.checkpoint['channel_values'].get('b')!r}"
+    )
+
+    # cp1 should still return original values
+    tup1 = await saver.aget_tuple(stored1)
+    assert tup1 is not None
+    assert tup1.checkpoint["channel_values"].get("a") == "v1"
+    assert tup1.checkpoint["channel_values"].get("b") == "v2"
+
+
+async def test_put_new_channel_added(saver: BaseCheckpointSaver) -> None:
+    """A channel that appears for the first time in a later checkpoint."""
+    tid = str(uuid4())
+
+    config1 = generate_config(tid)
+    cp1 = generate_checkpoint(
+        channel_values={"a": "v1"},
+        channel_versions={"a": 1},
+    )
+    stored1 = await saver.aput(config1, cp1, generate_metadata(step=0), {"a": 1})
+
+    # Checkpoint 2: 'b' is brand new, 'a' is unchanged
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint(
+        channel_values={"a": "v1", "b": "new_channel"},
+        channel_versions={"a": 1, "b": 1},
+    )
+    stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {"b": 1})
+
+    tup2 = await saver.aget_tuple(stored2)
+    assert tup2 is not None
+    assert tup2.checkpoint["channel_values"].get("a") == "v1", (
+        f"a: expected 'v1', got {tup2.checkpoint['channel_values'].get('a')!r}"
+    )
+    assert tup2.checkpoint["channel_values"].get("b") == "new_channel", (
+        f"b: expected 'new_channel', got {tup2.checkpoint['channel_values'].get('b')!r}"
+    )
+
+
+async def test_put_channel_removed(saver: BaseCheckpointSaver) -> None:
+    """Channel no longer in channel_versions should not appear in loaded values."""
+    tid = str(uuid4())
+
+    config1 = generate_config(tid)
+    cp1 = generate_checkpoint(
+        channel_values={"a": "v1", "b": "v2"},
+        channel_versions={"a": 1, "b": 1},
+    )
+    stored1 = await saver.aput(
+        config1, cp1, generate_metadata(step=0), {"a": 1, "b": 1}
+    )
+
+    # Checkpoint 2: 'b' dropped from channel_versions
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint(
+        channel_values={"a": "v1_updated"},
+        channel_versions={"a": 2},
+    )
+    stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {"a": 2})
+
+    tup2 = await saver.aget_tuple(stored2)
+    assert tup2 is not None
+    assert tup2.checkpoint["channel_values"].get("a") == "v1_updated"
+    assert "b" not in tup2.checkpoint["channel_values"], (
+        f"'b' should not be present, got {tup2.checkpoint['channel_values']}"
+    )
+
+
+async def test_put_preserves_run_id(saver: BaseCheckpointSaver) -> None:
+    """run_id in metadata round-trips correctly."""
+    run_id = str(uuid4())
+    config = generate_config()
+    cp = generate_checkpoint()
+    md = generate_metadata(source="loop", step=0, run_id=run_id)
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.metadata.get("run_id") == run_id, (
+        f"run_id: expected {run_id!r}, got {tup.metadata.get('run_id')!r}"
+    )
+
+
+async def test_put_preserves_versions_seen_values(saver: BaseCheckpointSaver) -> None:
+    """versions_seen values (not just keys) round-trip correctly."""
+    vs: dict[str, ChannelVersions] = {
+        "node1": {"ch_a": 1, "ch_b": 2},
+        "node2": {"ch_a": 3},
+    }
+    config = generate_config()
+    cp = generate_checkpoint(versions_seen=vs)
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    for node, expected_versions in vs.items():
+        assert node in tup.checkpoint["versions_seen"], f"versions_seen[{node}] missing"
+        actual_versions = tup.checkpoint["versions_seen"][node]
+        for ch, expected_v in expected_versions.items():
+            actual_v = actual_versions.get(ch)
+            assert actual_v is not None, f"versions_seen[{node}][{ch}] missing"
+            assert str(actual_v).split(".")[0] == str(expected_v).split(".")[0], (
+                f"versions_seen[{node}][{ch}]: expected {expected_v!r}, got {actual_v!r}"
+            )
+
+
+ALL_PUT_TESTS = [
+    test_put_returns_config,
+    test_put_roundtrip,
+    test_put_preserves_channel_values,
+    test_put_preserves_channel_versions,
+    test_put_preserves_versions_seen,
+    test_put_preserves_metadata,
+    test_put_root_namespace,
+    test_put_child_namespace,
+    test_put_default_namespace,
+    test_put_multiple_checkpoints_same_thread,
+    test_put_multiple_threads_isolated,
+    test_put_parent_config,
+    test_put_incremental_channel_update,
+    test_put_new_channel_added,
+    test_put_channel_removed,
+    test_put_preserves_run_id,
+    test_put_preserves_versions_seen_values,
+]
+
+
+async def run_put_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all put tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_PUT_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("put", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result("put", test_fn.__name__, False, traceback.format_exc())
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_put_writes.py

@@ -0,0 +1,302 @@
+"""PUT_WRITES capability tests — aput_writes + pending_writes retrieval."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def test_put_writes_basic(saver: BaseCheckpointSaver) -> None:
+    """Write stored, visible in aget_tuple pending_writes."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    await saver.aput_writes(stored, [("channel1", "value1")], task_id)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    # Verify exact write tuple: (task_id, channel, value)
+    matching = [w for w in tup.pending_writes if w[0] == task_id and w[1] == "channel1"]
+    assert len(matching) == 1, f"Expected 1 write, got {len(matching)}"
+    assert matching[0][2] == "value1", f"Value mismatch: {matching[0][2]!r}"
+
+
+async def test_put_writes_multiple_writes_same_task(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Multiple (channel, value) pairs in a single call."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    writes = [("ch1", "v1"), ("ch2", "v2"), ("ch3", "v3")]
+    await saver.aput_writes(stored, writes, task_id)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 3, (
+        f"Expected 3 writes, got {len(tup.pending_writes)}"
+    )
+    channels = {w[1] for w in tup.pending_writes}
+    assert channels == {"ch1", "ch2", "ch3"}, f"Expected exact channels, got {channels}"
+    # Verify values per channel
+    for expected_ch, expected_val in writes:
+        match = [
+            w for w in tup.pending_writes if w[0] == task_id and w[1] == expected_ch
+        ]
+        assert len(match) == 1, f"Expected 1 write for {expected_ch}, got {len(match)}"
+        assert match[0][2] == expected_val, (
+            f"Value mismatch for {expected_ch}: {match[0][2]!r}"
+        )
+
+
+async def test_put_writes_multiple_tasks(saver: BaseCheckpointSaver) -> None:
+    """Different task_ids produce separate writes."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    t1, t2 = str(uuid4()), str(uuid4())
+    await saver.aput_writes(stored, [("ch", "from_t1")], t1)
+    await saver.aput_writes(stored, [("ch", "from_t2")], t2)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 2, (
+        f"Expected 2 writes, got {len(tup.pending_writes)}"
+    )
+    # Verify values per task
+    t1_writes = [w for w in tup.pending_writes if w[0] == t1 and w[1] == "ch"]
+    t2_writes = [w for w in tup.pending_writes if w[0] == t2 and w[1] == "ch"]
+    assert len(t1_writes) == 1, f"Expected 1 write from t1, got {len(t1_writes)}"
+    assert len(t2_writes) == 1, f"Expected 1 write from t2, got {len(t2_writes)}"
+    assert t1_writes[0][2] == "from_t1", f"t1 value: {t1_writes[0][2]!r}"
+    assert t2_writes[0][2] == "from_t2", f"t2 value: {t2_writes[0][2]!r}"
+
+
+async def test_put_writes_preserves_task_id(saver: BaseCheckpointSaver) -> None:
+    """task_id in pending_writes matches what was passed to aput_writes."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    await saver.aput_writes(stored, [("ch", "val")], task_id)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert any(w[0] == task_id for w in tup.pending_writes)
+
+
+async def test_put_writes_preserves_channel_and_value(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Channel name + value round-trip."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    await saver.aput_writes(stored, [("my_channel", {"data": 123})], task_id)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    match = [w for w in tup.pending_writes if w[0] == task_id and w[1] == "my_channel"]
+    assert len(match) == 1, f"Expected 1 write, got {len(match)}"
+    assert match[0][2] == {"data": 123}, f"Value mismatch: {match[0][2]!r}"
+
+
+async def test_put_writes_task_path(saver: BaseCheckpointSaver) -> None:
+    """task_path parameter accepted without error."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    # Should not raise
+    await saver.aput_writes(stored, [("ch", "v")], task_id, task_path="a:b:c")
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 1
+
+
+async def test_put_writes_idempotent(saver: BaseCheckpointSaver) -> None:
+    """Duplicate (task_id, idx) doesn't duplicate writes."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    await saver.aput_writes(stored, [("ch", "val")], task_id)
+    await saver.aput_writes(stored, [("ch", "val")], task_id)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 1, (
+        f"Expected exactly 1 write total, got {len(tup.pending_writes)}"
+    )
+    # Should not have duplicated
+    matching = [w for w in tup.pending_writes if w[0] == task_id and w[1] == "ch"]
+    assert len(matching) == 1
+
+
+async def test_put_writes_special_channels(saver: BaseCheckpointSaver) -> None:
+    """ERROR and INTERRUPT channels handled correctly."""
+    from langgraph.checkpoint.serde.types import ERROR, INTERRUPT
+
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    await saver.aput_writes(
+        stored,
+        [(ERROR, "something went wrong"), (INTERRUPT, {"reason": "human_input"})],
+        task_id,
+    )
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    channels = {w[1] for w in tup.pending_writes}
+    assert ERROR in channels
+    assert INTERRUPT in channels
+    # Verify values
+    err_writes = [w for w in tup.pending_writes if w[0] == task_id and w[1] == ERROR]
+    assert len(err_writes) == 1, f"Expected 1 ERROR write, got {len(err_writes)}"
+    assert err_writes[0][2] == "something went wrong", (
+        f"ERROR value: {err_writes[0][2]!r}"
+    )
+    int_writes = [
+        w for w in tup.pending_writes if w[0] == task_id and w[1] == INTERRUPT
+    ]
+    assert len(int_writes) == 1, f"Expected 1 INTERRUPT write, got {len(int_writes)}"
+    assert int_writes[0][2] == {"reason": "human_input"}, (
+        f"INTERRUPT value: {int_writes[0][2]!r}"
+    )
+
+
+async def test_put_writes_across_namespaces(saver: BaseCheckpointSaver) -> None:
+    """Writes isolated by checkpoint_ns."""
+    tid = str(uuid4())
+
+    # Root namespace checkpoint + write
+    cfg_root = generate_config(tid, checkpoint_ns="")
+    cp_root = generate_checkpoint()
+    stored_root = await saver.aput(cfg_root, cp_root, generate_metadata(), {})
+    root_task = str(uuid4())
+    await saver.aput_writes(stored_root, [("ch", "root_val")], root_task)
+
+    # Child namespace checkpoint + write
+    cfg_child = generate_config(tid, checkpoint_ns="child:1")
+    cp_child = generate_checkpoint()
+    stored_child = await saver.aput(cfg_child, cp_child, generate_metadata(), {})
+    child_task = str(uuid4())
+    await saver.aput_writes(stored_child, [("ch", "child_val")], child_task)
+
+    # Verify isolation — root should have exactly 1 write with root_val
+    tup_root = await saver.aget_tuple(stored_root)
+    assert tup_root is not None
+    assert tup_root.pending_writes is not None
+    root_ch = [w for w in tup_root.pending_writes if w[1] == "ch"]
+    assert len(root_ch) == 1, f"Expected 1 root write, got {len(root_ch)}"
+    assert root_ch[0][2] == "root_val", f"Root value: {root_ch[0][2]!r}"
+
+    # Child should have exactly 1 write with child_val
+    tup_child = await saver.aget_tuple(stored_child)
+    assert tup_child is not None
+    assert tup_child.pending_writes is not None
+    child_ch = [w for w in tup_child.pending_writes if w[1] == "ch"]
+    assert len(child_ch) == 1, f"Expected 1 child write, got {len(child_ch)}"
+    assert child_ch[0][2] == "child_val", f"Child value: {child_ch[0][2]!r}"
+
+
+async def test_put_writes_cleared_on_next_checkpoint(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """New checkpoint starts with fresh pending_writes."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp1 = generate_checkpoint()
+    stored1 = await saver.aput(config, cp1, generate_metadata(step=0), {})
+
+    await saver.aput_writes(stored1, [("ch", "old_write")], str(uuid4()))
+
+    # New checkpoint
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint()
+    stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {})
+
+    tup = await saver.aget_tuple(stored2)
+    assert tup is not None
+    # New checkpoint should have no pending writes
+    writes = tup.pending_writes or []
+    assert len(writes) == 0
+
+
+ALL_PUT_WRITES_TESTS = [
+    test_put_writes_basic,
+    test_put_writes_multiple_writes_same_task,
+    test_put_writes_multiple_tasks,
+    test_put_writes_preserves_task_id,
+    test_put_writes_preserves_channel_and_value,
+    test_put_writes_task_path,
+    test_put_writes_idempotent,
+    test_put_writes_special_channels,
+    test_put_writes_across_namespaces,
+    test_put_writes_cleared_on_next_checkpoint,
+]
+
+
+async def run_put_writes_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all put_writes tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_PUT_WRITES_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("put_writes", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result(
+                    "put_writes", test_fn.__name__, False, traceback.format_exc()
+                )
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/test_utils.py

@@ -0,0 +1,212 @@
+"""Test utilities: checkpoint generators, assertion helpers, bulk operations."""
+
+from __future__ import annotations
+
+from datetime import datetime, timezone
+from typing import Any
+from uuid import uuid4
+
+from langchain_core.runnables import RunnableConfig
+from langgraph.checkpoint.base import (
+    ChannelVersions,
+    Checkpoint,
+    CheckpointMetadata,
+    CheckpointTuple,
+)
+from langgraph.checkpoint.base.id import uuid6
+
+
+def generate_checkpoint(
+    *,
+    checkpoint_id: str | None = None,
+    channel_values: dict[str, Any] | None = None,
+    channel_versions: ChannelVersions | None = None,
+    versions_seen: dict[str, ChannelVersions] | None = None,
+) -> Checkpoint:
+    """Create a well-formed Checkpoint with sensible defaults."""
+    return Checkpoint(
+        v=1,
+        id=checkpoint_id or str(uuid6(clock_seq=-1)),
+        ts=datetime.now(timezone.utc).isoformat(),
+        channel_values=channel_values if channel_values is not None else {},
+        channel_versions=channel_versions if channel_versions is not None else {},
+        versions_seen=versions_seen if versions_seen is not None else {},
+        pending_sends=[],  # ty: ignore[invalid-key]
+        updated_channels=None,
+    )
+
+
+def generate_config(
+    thread_id: str | None = None,
+    *,
+    checkpoint_ns: str = "",
+    checkpoint_id: str | None = None,
+) -> RunnableConfig:
+    """Create a RunnableConfig targeting a specific thread / namespace / checkpoint."""
+    configurable: dict[str, Any] = {
+        "thread_id": thread_id or str(uuid4()),
+        "checkpoint_ns": checkpoint_ns,
+    }
+    if checkpoint_id is not None:
+        configurable["checkpoint_id"] = checkpoint_id
+    return {"configurable": configurable}
+
+
+def generate_metadata(
+    source: str = "loop",
+    step: int = 0,
+    **extra: Any,
+) -> CheckpointMetadata:
+    """Create CheckpointMetadata with defaults."""
+    md: dict[str, Any] = {"source": source, "step": step, "parents": {}}
+    md.update(extra)
+    return md
+
+
+async def put_test_checkpoint(
+    saver: Any,
+    *,
+    thread_id: str | None = None,
+    checkpoint_ns: str = "",
+    parent_config: RunnableConfig | None = None,
+    channel_values: dict[str, Any] | None = None,
+    channel_versions: ChannelVersions | None = None,
+    metadata: CheckpointMetadata | None = None,
+    new_versions: ChannelVersions | None = None,
+) -> RunnableConfig:
+    """Put a single test checkpoint and return the stored config.
+
+    Handles wiring up parent_config, channel_values -> new_versions, etc.
+    """
+    tid = thread_id or str(uuid4())
+    cp = generate_checkpoint(
+        channel_values=channel_values,
+        channel_versions=channel_versions,
+    )
+
+    # When channel_values are provided, ensure channel_versions + new_versions
+    # are consistent so the checkpointer stores the blobs correctly.
+    vals = channel_values or {}
+    cv = channel_versions
+    if cv is None and vals:
+        cv = {k: 1 for k in vals}
+        cp["channel_versions"] = cv
+    nv = new_versions
+    if nv is None:
+        nv = cv or {}
+
+    md = metadata or generate_metadata()
+
+    config = generate_config(tid, checkpoint_ns=checkpoint_ns)
+    if parent_config is not None:
+        config["configurable"]["checkpoint_id"] = parent_config["configurable"][
+            "checkpoint_id"
+        ]
+
+    return await saver.aput(config, cp, md, nv)
+
+
+async def put_test_checkpoints(
+    saver: Any,
+    *,
+    n_threads: int = 1,
+    n_checkpoints: int = 1,
+    namespaces: list[str] | None = None,
+    channel_values: dict[str, Any] | None = None,
+) -> list[RunnableConfig]:
+    """Convenience: put multiple checkpoints across threads/namespaces.
+
+    Returns the stored configs in insertion order.
+    """
+    nss = namespaces or [""]
+    stored: list[RunnableConfig] = []
+    for t in range(n_threads):
+        tid = f"thread-{t}"
+        for ns in nss:
+            parent: RunnableConfig | None = None
+            for _c in range(n_checkpoints):
+                cfg = await put_test_checkpoint(
+                    saver,
+                    thread_id=tid,
+                    checkpoint_ns=ns,
+                    parent_config=parent,
+                    channel_values=channel_values,
+                )
+                parent = cfg
+                stored.append(cfg)
+    return stored
+
+
+def assert_checkpoint_equal(
+    actual: Checkpoint,
+    expected: Checkpoint,
+    *,
+    check_channel_values: bool = True,
+) -> None:
+    """Assert two checkpoints are semantically equal."""
+    assert actual["v"] == expected["v"], f"v mismatch: {actual['v']} != {expected['v']}"
+    assert actual["id"] == expected["id"], (
+        f"id mismatch: {actual['id']} != {expected['id']}"
+    )
+    assert actual["channel_versions"] == expected["channel_versions"], (
+        "channel_versions mismatch"
+    )
+    assert actual["versions_seen"] == expected["versions_seen"], (
+        "versions_seen mismatch"
+    )
+    if check_channel_values:
+        assert actual["channel_values"] == expected["channel_values"], (
+            "channel_values mismatch"
+        )
+
+
+def assert_tuple_equal(
+    actual: CheckpointTuple,
+    expected: CheckpointTuple,
+    *,
+    check_writes: bool = True,
+    check_channel_values: bool = True,
+) -> None:
+    """Assert two CheckpointTuples are semantically equal."""
+    # Config
+    a_conf = actual.config["configurable"]
+    e_conf = expected.config["configurable"]
+    assert a_conf["thread_id"] == e_conf["thread_id"], (
+        f"thread_id mismatch: {a_conf['thread_id']} != {e_conf['thread_id']}"
+    )
+    assert a_conf.get("checkpoint_ns", "") == e_conf.get("checkpoint_ns", ""), (
+        "checkpoint_ns mismatch"
+    )
+    assert a_conf["checkpoint_id"] == e_conf["checkpoint_id"], "checkpoint_id mismatch"
+
+    # Checkpoint
+    assert_checkpoint_equal(
+        actual.checkpoint,
+        expected.checkpoint,
+        check_channel_values=check_channel_values,
+    )
+
+    # Metadata
+    for k, v in expected.metadata.items():
+        assert actual.metadata.get(k) == v, (
+            f"metadata[{k}] mismatch: {actual.metadata.get(k)} != {v}"
+        )
+
+    # Parent config
+    if expected.parent_config is not None:
+        assert actual.parent_config is not None, "expected parent_config, got None"
+        assert (
+            actual.parent_config["configurable"]["checkpoint_id"]
+            == expected.parent_config["configurable"]["checkpoint_id"]
+        ), "parent checkpoint_id mismatch"
+    else:
+        assert actual.parent_config is None, (
+            f"expected no parent_config, got {actual.parent_config}"
+        )
+
+    # Pending writes
+    if check_writes and expected.pending_writes is not None:
+        assert actual.pending_writes is not None
+        assert len(actual.pending_writes) == len(expected.pending_writes), (
+            f"pending_writes length mismatch: {len(actual.pending_writes)} != {len(expected.pending_writes)}"
+        )

libs/checkpoint-conformance/langgraph/checkpoint/conformance/validate.py

@@ -0,0 +1,124 @@
+"""Core conformance runner — detects capabilities, runs test suites, builds report."""
+
+from __future__ import annotations
+
+from langgraph.checkpoint.conformance.capabilities import (
+    Capability,
+    DetectedCapabilities,
+)
+from langgraph.checkpoint.conformance.initializer import RegisteredCheckpointer
+from langgraph.checkpoint.conformance.report import (
+    CapabilityReport,
+    CapabilityResult,
+    ProgressCallbacks,
+)
+from langgraph.checkpoint.conformance.spec.test_copy_thread import run_copy_thread_tests
+from langgraph.checkpoint.conformance.spec.test_delete_for_runs import (
+    run_delete_for_runs_tests,
+)
+from langgraph.checkpoint.conformance.spec.test_delete_thread import (
+    run_delete_thread_tests,
+)
+from langgraph.checkpoint.conformance.spec.test_get_tuple import run_get_tuple_tests
+from langgraph.checkpoint.conformance.spec.test_list import run_list_tests
+from langgraph.checkpoint.conformance.spec.test_prune import run_prune_tests
+from langgraph.checkpoint.conformance.spec.test_put import run_put_tests
+from langgraph.checkpoint.conformance.spec.test_put_writes import run_put_writes_tests
+
+# Maps capability to its runner function.
+_RUNNERS = {
+    Capability.PUT: run_put_tests,
+    Capability.PUT_WRITES: run_put_writes_tests,
+    Capability.GET_TUPLE: run_get_tuple_tests,
+    Capability.LIST: run_list_tests,
+    Capability.DELETE_THREAD: run_delete_thread_tests,
+    Capability.DELETE_FOR_RUNS: run_delete_for_runs_tests,
+    Capability.COPY_THREAD: run_copy_thread_tests,
+    Capability.PRUNE: run_prune_tests,
+}
+
+
+async def validate(
+    registered: RegisteredCheckpointer,
+    *,
+    capabilities: set[str] | None = None,
+    progress: ProgressCallbacks | None = None,
+) -> CapabilityReport:
+    """Run the validation suite against a registered checkpointer.
+
+    Args:
+        registered: A RegisteredCheckpointer (from @checkpointer_test decorator).
+        capabilities: If given, only run tests for these capability names.
+            Otherwise, auto-detect and run all applicable tests.
+        progress: Optional progress callbacks for incremental output.
+            Use ``ProgressCallbacks.default()`` for dot-style,
+            ``ProgressCallbacks.verbose()`` for per-test output, or
+            ``None`` / ``ProgressCallbacks.quiet()`` for silent mode.
+
+    Returns:
+        A CapabilityReport with per-capability results.
+    """
+    report = CapabilityReport(checkpointer_name=registered.name)
+
+    # Determine which capabilities to test.
+    caps_to_test: set[Capability]
+    if capabilities is not None:
+        caps_to_test = {Capability(c) for c in capabilities}
+    else:
+        caps_to_test = set(Capability)
+
+    async with registered.enter_lifespan():
+        for cap in Capability:
+            if cap in caps_to_test and cap.value not in registered.skip_capabilities:
+                # Create a fresh checkpointer for each capability suite.
+                async with registered.create() as saver:
+                    detected = DetectedCapabilities.from_instance(saver)
+                    is_detected = cap in detected.detected
+
+                    if not is_detected:
+                        if progress and progress.on_capability_start:
+                            progress.on_capability_start(cap.value, False)
+                        report.results[cap.value] = CapabilityResult(
+                            detected=False,
+                            passed=None,
+                            tests_skipped=1,
+                        )
+                        continue
+
+                    runner = _RUNNERS.get(cap)
+                    if runner is None:
+                        report.results[cap.value] = CapabilityResult(
+                            detected=True,
+                            passed=None,
+                            tests_skipped=1,
+                        )
+                        continue
+
+                    if progress and progress.on_capability_start:
+                        progress.on_capability_start(cap.value, True)
+
+                    passed, failed, failures = await runner(
+                        saver,
+                        on_test_result=progress.on_test_result if progress else None,
+                    )
+
+                    if progress and progress.on_capability_end:
+                        progress.on_capability_end(cap.value)
+
+                    report.results[cap.value] = CapabilityResult(
+                        detected=True,
+                        passed=failed == 0,
+                        tests_passed=passed,
+                        tests_failed=failed,
+                        failures=failures,
+                    )
+            else:
+                if progress and progress.on_capability_start:
+                    progress.on_capability_start(cap.value, False)
+                report.results[cap.value] = CapabilityResult(
+                    detected=False,
+                    passed=None,
+                    tests_skipped=1,
+                )
+
+    return report

libs/checkpoint-conformance/pyproject.toml

@@ -0,0 +1,65 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "langgraph-checkpoint-conformance"
+version = "0.0.1"
+description = "Conformance test suite for LangGraph checkpointer implementations."
+authors = [{name = "William FH", email = "13333726+hinthornw@users.noreply.github.com"}]
+requires-python = ">=3.10"
+readme = "README.md"
+license = "MIT"
+dependencies = [
+    "langgraph-checkpoint>=2.0.0",
+]
+
+[project.urls]
+Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-conformance"
+
+[dependency-groups]
+test = [
+  "pytest",
+  "pytest-asyncio",
+]
+lint = [
+  "ruff",
+  "ty",
+]
+dev = [
+  {include-group = "test"},
+  {include-group = "lint"},
+]
+
+[tool.hatch.build.targets.wheel]
+include = ["langgraph"]
+
+[tool.pytest.ini_options]
+addopts = "--strict-markers --strict-config --durations=5 -vv"
+testpaths = ["tests"]
+asyncio_mode = "auto"
+
+[tool.ty.rules]
+# The extended methods (acopy_thread, adelete_for_runs, aprune) are checked
+# at runtime via capability detection and may not exist on the installed
+# base class. Dict literal inference is also overly strict for RunnableConfig.
+unresolved-attribute = "ignore"
+invalid-argument-type = "ignore"
+invalid-return-type = "ignore"
+
+[tool.ruff]
+lint.select = [
+  "E",  # pycodestyle
+  "F",  # Pyflakes
+  "UP", # pyupgrade
+  "B",  # flake8-bugbear
+  "I",  # isort
+]
+lint.ignore = ["E501", "B008"]
+target-version = "py310"
+
+[[tool.uv.index]]
+name = "testpypi"
+url = "https://test.pypi.org/simple/"
+publish-url = "https://test.pypi.org/legacy/"
+explicit = true

libs/checkpoint-conformance/tests/test_validate_memory.py

@@ -0,0 +1,21 @@
+"""Self-tests: run the conformance suite against InMemorySaver."""
+
+from __future__ import annotations
+
+import pytest
+from langgraph.checkpoint.memory import InMemorySaver
+
+from langgraph.checkpoint.conformance import checkpointer_test, validate
+
+
+@checkpointer_test(name="InMemorySaver")
+async def memory_checkpointer():
+    yield InMemorySaver()
+
+
+@pytest.mark.asyncio
+async def test_validate_memory_base():
+    """InMemorySaver passes all base capability tests."""
+    report = await validate(memory_checkpointer)
+    report.print_report()
+    assert report.passed_all_base(), f"Base tests failed: {report.to_dict()}"

libs/checkpoint-postgres/pyproject.toml

@@ -13,7 +13,7 @@ license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
   "langgraph-checkpoint>=2.1.2,<5.0.0",
-  "orjson>=3.10.1",
+  "orjson>=3.11.5",
   "psycopg>=3.2.0",
   "psycopg-pool>=3.2.0",
 ]

libs/checkpoint-postgres/uv.lock

@@ -240,7 +240,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.7"
+version = "1.2.11"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -252,9 +252,9 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a2/0e/664d8d81b3493e09cbab72448d2f9d693d1fa5aa2bcc488602203a9b6da0/langchain_core-1.2.7.tar.gz", hash = "sha256:e1460639f96c352b4a41c375f25aeb8d16ffc1769499fb1c20503aad59305ced", size = 837039, upload-time = "2026-01-09T17:44:25.505Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/12/17/1943cedfc118e04b8128e4c3e1dbf0fa0ea58eefddbb6198cfd699d19f01/langchain_core-1.2.11.tar.gz", hash = "sha256:f164bb36602dd74a3a50c1334fca75309ad5ed95767acdfdbb9fa95ce28a1e01", size = 831211, upload-time = "2026-02-10T20:35:28.35Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/6e/6f/34a9fba14d191a67f7e2ee3dbce3e9b86d2fa7310e2c7f2c713583481bd2/langchain_core-1.2.7-py3-none-any.whl", hash = "sha256:452f4fef7a3d883357b22600788d37e3d8854ef29da345b7ac7099f33c31828b", size = 490232, upload-time = "2026-01-09T17:44:24.236Z" },
+    { url = "https://files.pythonhosted.org/packages/10/30/1f80e3fc674353cad975ed5294353d42512535d2094ef032c06454c2c873/langchain_core-1.2.11-py3-none-any.whl", hash = "sha256:ae11ceb8dda60d0b9d09e763116e592f1683327c17be5b715f350fd29aee65d3", size = 500062, upload-time = "2026-02-10T20:35:26.698Z" },
 ]
 
 [[package]]
@@ -346,7 +346,7 @@ test = [
 [package.metadata]
 requires-dist = [
     { name = "langgraph-checkpoint", editable = "../checkpoint" },
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 [[package]]

libs/checkpoint/langgraph/checkpoint/base/__init__.py

@@ -51,6 +51,8 @@ class CheckpointMetadata(TypedDict, total=False):
 
     Mapping from checkpoint namespace to checkpoint ID.
     """
+    run_id: str
+    """The ID of the run that created this checkpoint."""
 
 
 ChannelVersions = dict[str, str | int | float]
@@ -268,6 +270,45 @@ class BaseCheckpointSaver(Generic[V]):
         """
         raise NotImplementedError
 
+    def delete_for_runs(
+        self,
+        run_ids: Sequence[str],
+    ) -> None:
+        """Delete all checkpoints and writes associated with the given run IDs.
+
+        Args:
+            run_ids: The run IDs whose checkpoints should be deleted.
+        """
+        raise NotImplementedError
+
+    def copy_thread(
+        self,
+        source_thread_id: str,
+        target_thread_id: str,
+    ) -> None:
+        """Copy all checkpoints and writes from one thread to another.
+
+        Args:
+            source_thread_id: The thread ID to copy from.
+            target_thread_id: The thread ID to copy to.
+        """
+        raise NotImplementedError
+
+    def prune(
+        self,
+        thread_ids: Sequence[str],
+        *,
+        strategy: str = "keep_latest",
+    ) -> None:
+        """Prune checkpoints for the given threads.
+
+        Args:
+            thread_ids: The thread IDs to prune.
+            strategy: The pruning strategy. `"keep_latest"` retains only the most
+                recent checkpoint per namespace. `"delete"` removes all checkpoints.
+        """
+        raise NotImplementedError
+
     async def aget(self, config: RunnableConfig) -> Checkpoint | None:
         """Asynchronously fetch a checkpoint using the given configuration.
 
@@ -373,6 +414,45 @@ class BaseCheckpointSaver(Generic[V]):
         """
         raise NotImplementedError
 
+    async def adelete_for_runs(
+        self,
+        run_ids: Sequence[str],
+    ) -> None:
+        """Asynchronously delete all checkpoints and writes for the given run IDs.
+
+        Args:
+            run_ids: The run IDs whose checkpoints should be deleted.
+        """
+        raise NotImplementedError
+
+    async def acopy_thread(
+        self,
+        source_thread_id: str,
+        target_thread_id: str,
+    ) -> None:
+        """Asynchronously copy all checkpoints and writes from one thread to another.
+
+        Args:
+            source_thread_id: The thread ID to copy from.
+            target_thread_id: The thread ID to copy to.
+        """
+        raise NotImplementedError
+
+    async def aprune(
+        self,
+        thread_ids: Sequence[str],
+        *,
+        strategy: str = "keep_latest",
+    ) -> None:
+        """Asynchronously prune checkpoints for the given threads.
+
+        Args:
+            thread_ids: The thread IDs to prune.
+            strategy: The pruning strategy. `"keep_latest"` retains only the most
+                recent checkpoint per namespace. `"delete"` removes all checkpoints.
+        """
+        raise NotImplementedError
+
     def get_next_version(self, current: V | None, channel: None) -> V:
         """Generate the next version ID for a channel.
 

libs/checkpoint/uv.lock

@@ -267,7 +267,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.7"
+version = "1.2.13"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -279,9 +279,9 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
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libs/cli/js-examples/package.json

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

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-    "@langchain/core": "^0.3.2",
-    "@langchain/langgraph": "^0.2.5"
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libs/cli/js-monorepo-example/libs/shared/package.json

@@ -9,6 +9,6 @@
     "clean": "rm -rf dist"
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+    "typescript": "^5.9.3"
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libs/cli/js-monorepo-example/package.json

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 [[package]]

libs/langgraph/langgraph/pregel/_runner.py

@@ -728,7 +728,6 @@ async def _acall_impl(
                     )
                 else:
                     fut.set_result(None)
-                futures()[fut] = next_task  # type: ignore[index]
             else:
                 # schedule the next task
                 fut = cast(

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "1.0.8"
+version = "1.0.9"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"
@@ -27,7 +27,7 @@ dependencies = [
     "langchain-core>=0.1",
     "langgraph-checkpoint>=2.1.0,<5.0.0",
     "langgraph-sdk>=0.3.0,<0.4.0",
-    "langgraph-prebuilt>=1.0.7,<1.1.0",
+    "langgraph-prebuilt>=1.0.8,<1.1.0",
     "xxhash>=3.5.0",
     "pydantic>=2.7.4",
 ]
@@ -60,7 +60,7 @@ test = [
     "langgraph-checkpoint-postgres",
     "langgraph-sdk",
     "psycopg[binary]",
-    "uvloop==0.21.0beta1",
+    "uvloop==0.22.1",
     "pyperf",
     "py-spy",
     "pycryptodome",

libs/langgraph/tests/test_pregel.py

@@ -5800,6 +5800,284 @@ def test_multiple_interrupts_functional_cache(
     assert counter == 6
 
 
+def test_task_before_interrupt_resume(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Test that Command(resume=value) works correctly when a @task runs
+    before interrupt-producing tasks in an @entrypoint.
+
+    The @task wrapper on both setup and ask is essential to reproduce the bug:
+    - @task on setup triggers a mid-step put_writes (creating a new pending_writes list)
+    - @task on ask means interrupt() runs in a child scratchpad that must
+      delegate to the parent for null resume consumption tracking
+    """
+
+    @entrypoint(checkpointer=sync_checkpointer)
+    def workflow(number_of_topics: int) -> dict:
+        @task
+        def setup() -> int:
+            return number_of_topics
+
+        @task
+        def ask(question: str) -> str:
+            return interrupt(question)
+
+        n = setup().result()
+
+        answers = []
+        for i in range(n):
+            q = f"Whats the answer for topic {i + 1}?"
+            answers.append(ask(q).result())
+
+        return {"answers": answers}
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # First invocation - should get first interrupt
+    result = workflow.invoke(2, config=config)
+    assert "__interrupt__" in result
+    assert len(result["__interrupt__"]) == 1
+    assert result["__interrupt__"][0].value == "Whats the answer for topic 1?"
+
+    # Resume with answer for topic 1 - should get second interrupt
+    result = workflow.invoke(Command(resume="answer1"), config=config)
+    assert "__interrupt__" in result, f"Expected interrupt for topic 2, got: {result}"
+    assert len(result["__interrupt__"]) == 1
+    assert result["__interrupt__"][0].value == "Whats the answer for topic 2?"
+
+    # Resume with answer for topic 2 - should get final result
+    result = workflow.invoke(Command(resume="answer2"), config=config)
+    assert result == {"answers": ["answer1", "answer2"]}
+
+
+def test_multiple_tasks_before_interrupt_resume(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Test that Command(resume=value) works correctly when multiple @tasks
+    run before an interrupt-producing task in an @entrypoint."""
+
+    @entrypoint(checkpointer=sync_checkpointer)
+    def workflow(inputs: dict) -> dict:
+        @task
+        def step_a(x: int) -> int:
+            return x + 1
+
+        @task
+        def step_b(x: int) -> int:
+            return x * 2
+
+        @task
+        def ask(question: str) -> str:
+            return interrupt(question)
+
+        a = step_a(inputs["x"]).result()
+        b = step_b(a).result()
+
+        answer = ask(f"Result so far is {b}. What next?").result()
+
+        return {"computed": b, "answer": answer}
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # First invocation - should get interrupt
+    result = workflow.invoke({"x": 5}, config=config)
+    assert "__interrupt__" in result
+    assert result["__interrupt__"][0].value == "Result so far is 12. What next?"
+
+    # Resume
+    result = workflow.invoke(Command(resume="continue"), config=config)
+    assert result == {"computed": 12, "answer": "continue"}
+
+
+def test_no_redundant_put_writes_for_cached_task(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Cached @tasks on resume must not trigger redundant put_writes."""
+    from unittest.mock import patch
+
+    from langgraph.pregel._loop import PregelLoop
+
+    @task
+    def setup(x: int) -> int:
+        return x
+
+    @task
+    def ask(question: str) -> str:
+        return interrupt(question)
+
+    @entrypoint(checkpointer=sync_checkpointer)
+    def workflow(x: int) -> dict:
+        n = setup(x).result()
+        answer = ask(f"q{n}").result()
+        return {"answer": answer}
+
+    config = {"configurable": {"thread_id": "1"}}
+    result = workflow.invoke(1, config=config)
+    assert "__interrupt__" in result
+
+    put_writes_task_ids: list[str] = []
+    orig = PregelLoop.put_writes
+
+    def spy(self, task_id, writes):
+        put_writes_task_ids.append(task_id)
+        return orig(self, task_id, writes)
+
+    with patch.object(PregelLoop, "put_writes", spy):
+        result = workflow.invoke(Command(resume="ans"), config=config)
+
+    assert result == {"answer": "ans"}
+    # Count unique non-null task IDs that got put_writes.
+    # Should be exactly 2: the ask task and the entrypoint task.
+    # If 3, the cached setup task is being redundantly re-committed.
+    non_null = set(tid for tid in put_writes_task_ids if not tid.startswith("00000000"))
+    assert len(non_null) == 2, (
+        f"Expected 2 task IDs in put_writes (ask + entrypoint), got {len(non_null)}"
+    )
+
+
+def test_node_before_interrupt_resume_graph_api(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Test that Command(resume=value) works correctly in a StateGraph when a
+    node runs before a node that calls interrupt(). This is the graph-API
+    analog of test_task_before_interrupt_resume (entrypoint API)."""
+
+    class State(TypedDict):
+        topics: list[str]
+        answers: Annotated[list[str], operator.add]
+
+    def setup(state: State) -> dict:
+        return {"topics": [f"topic {i + 1}" for i in range(len(state["topics"]))]}
+
+    def ask(state: State) -> dict:
+        answers = []
+        for topic in state["topics"]:
+            answer = interrupt(f"Whats the answer for {topic}?")
+            answers.append(answer)
+        return {"answers": answers}
+
+    graph = (
+        StateGraph(State)
+        .add_node("setup", setup)
+        .add_node("ask", ask)
+        .add_edge(START, "setup")
+        .add_edge("setup", "ask")
+        .add_edge("ask", END)
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # First invocation - setup runs, then ask interrupts on the first topic
+    result = graph.invoke({"topics": ["a", "b"], "answers": []}, config=config)
+    assert "__interrupt__" in result
+    assert len(result["__interrupt__"]) == 1
+    assert result["__interrupt__"][0].value == "Whats the answer for topic 1?"
+
+    # Resume with answer for topic 1 - should get second interrupt
+    result = graph.invoke(Command(resume="answer1"), config=config)
+    assert "__interrupt__" in result, f"Expected interrupt for topic 2, got: {result}"
+    assert len(result["__interrupt__"]) == 1
+    assert result["__interrupt__"][0].value == "Whats the answer for topic 2?"
+
+    # Resume with answer for topic 2 - should complete
+    result = graph.invoke(Command(resume="answer2"), config=config)
+    assert result == {
+        "topics": ["topic 1", "topic 2"],
+        "answers": ["answer1", "answer2"],
+    }
+
+
+def test_multiple_nodes_before_interrupt_resume_graph_api(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Test that Command(resume=value) works correctly in a StateGraph when
+    multiple nodes run before a node that calls interrupt(). This is the
+    graph-API analog of test_multiple_tasks_before_interrupt_resume."""
+
+    class State(TypedDict):
+        value: int
+        answer: str
+
+    def step_a(state: State) -> dict:
+        return {"value": state["value"] + 1}
+
+    def step_b(state: State) -> dict:
+        return {"value": state["value"] * 2}
+
+    def ask(state: State) -> dict:
+        answer = interrupt(f"Result so far is {state['value']}. What next?")
+        return {"answer": answer}
+
+    graph = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("step_b", step_b)
+        .add_node("ask", ask)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "step_b")
+        .add_edge("step_b", "ask")
+        .add_edge("ask", END)
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # First invocation - step_a and step_b run, then ask interrupts
+    result = graph.invoke({"value": 5, "answer": ""}, config=config)
+    assert "__interrupt__" in result
+    assert result["__interrupt__"][0].value == "Result so far is 12. What next?"
+
+    # Resume - should complete
+    result = graph.invoke(Command(resume="continue"), config=config)
+    assert result == {"value": 12, "answer": "continue"}
+
+
+def test_node_before_multiple_interrupt_cycles_graph_api(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Test that a node running before an interrupt node does not interfere
+    with multiple interrupt/resume cycles in a StateGraph."""
+
+    class State(TypedDict):
+        count: int
+        data: str
+
+    def prepare(state: State) -> dict:
+        return {"count": state["count"] + 10}
+
+    def multi_interrupt(state: State) -> dict:
+        first = interrupt("First question?")
+        second = interrupt("Second question?")
+        return {"data": f"{first},{second}"}
+
+    graph = (
+        StateGraph(State)
+        .add_node("prepare", prepare)
+        .add_node("multi_interrupt", multi_interrupt)
+        .add_edge(START, "prepare")
+        .add_edge("prepare", "multi_interrupt")
+        .add_edge("multi_interrupt", END)
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # First invocation - prepare runs, multi_interrupt hits first interrupt
+    result = graph.invoke({"count": 0, "data": ""}, config=config)
+    assert "__interrupt__" in result
+    assert result["__interrupt__"][0].value == "First question?"
+
+    # Resume first interrupt - hits second interrupt
+    result = graph.invoke(Command(resume="first_answer"), config=config)
+    assert "__interrupt__" in result
+    assert result["__interrupt__"][0].value == "Second question?"
+
+    # Resume second interrupt - completes
+    result = graph.invoke(Command(resume="second_answer"), config=config)
+    assert result == {"count": 10, "data": "first_answer,second_answer"}
+
+
 def test_double_interrupt_subgraph(sync_checkpointer: BaseCheckpointSaver) -> None:
     class AgentState(TypedDict):
         input: str

libs/langgraph/tests/test_pregel_async.py

@@ -7920,6 +7920,290 @@ async def test_interrupts_in_tasks_surfaced_once(
     assert result[1] == "Added Will!"
 
 
+@NEEDS_CONTEXTVARS
+async def test_task_before_interrupt_resume(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Test that Command(resume=value) works correctly when a @task runs
+    before interrupt-producing tasks in an @entrypoint.
+
+    The @task wrapper on both setup and ask is essential to reproduce the bug:
+    - @task on setup triggers a mid-step put_writes (creating a new pending_writes list)
+    - @task on ask means interrupt() runs in a child scratchpad that must
+      delegate to the parent for null resume consumption tracking
+    """
+
+    @entrypoint(checkpointer=async_checkpointer)
+    async def workflow(number_of_topics: int) -> dict:
+        @task
+        async def setup() -> int:
+            return number_of_topics
+
+        @task
+        async def ask(question: str) -> str:
+            return interrupt(question)
+
+        n = await setup()
+
+        answers = []
+        for i in range(n):
+            q = f"Whats the answer for topic {i + 1}?"
+            answers.append(await ask(q))
+
+        return {"answers": answers}
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # First invocation - should get first interrupt
+    result = await workflow.ainvoke(2, config=config)
+    assert "__interrupt__" in result
+    assert len(result["__interrupt__"]) == 1
+    assert result["__interrupt__"][0].value == "Whats the answer for topic 1?"
+
+    # Resume with answer for topic 1 - should get second interrupt
+    result = await workflow.ainvoke(Command(resume="answer1"), config=config)
+    assert "__interrupt__" in result, f"Expected interrupt for topic 2, got: {result}"
+    assert len(result["__interrupt__"]) == 1
+    assert result["__interrupt__"][0].value == "Whats the answer for topic 2?"
+
+    # Resume with answer for topic 2 - should get final result
+    result = await workflow.ainvoke(Command(resume="answer2"), config=config)
+    assert result == {"answers": ["answer1", "answer2"]}
+
+
+@NEEDS_CONTEXTVARS
+async def test_multiple_tasks_before_interrupt_resume(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Test that Command(resume=value) works correctly when multiple @tasks
+    run before an interrupt-producing task in an @entrypoint."""
+
+    @entrypoint(checkpointer=async_checkpointer)
+    async def workflow(inputs: dict) -> dict:
+        @task
+        async def step_a(x: int) -> int:
+            return x + 1
+
+        @task
+        async def step_b(x: int) -> int:
+            return x * 2
+
+        @task
+        async def ask(question: str) -> str:
+            return interrupt(question)
+
+        a = await step_a(inputs["x"])
+        b = await step_b(a)
+
+        answer = await ask(f"Result so far is {b}. What next?")
+
+        return {"computed": b, "answer": answer}
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # First invocation - should get interrupt
+    result = await workflow.ainvoke({"x": 5}, config=config)
+    assert "__interrupt__" in result
+    assert result["__interrupt__"][0].value == "Result so far is 12. What next?"
+
+    # Resume
+    result = await workflow.ainvoke(Command(resume="continue"), config=config)
+    assert result == {"computed": 12, "answer": "continue"}
+
+
+@NEEDS_CONTEXTVARS
+async def test_no_redundant_put_writes_for_cached_task(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Cached @tasks on resume must not trigger redundant put_writes."""
+    from unittest.mock import patch
+
+    from langgraph.pregel._loop import PregelLoop
+
+    @task
+    async def setup(x: int) -> int:
+        return x
+
+    @task
+    async def ask(question: str) -> str:
+        return interrupt(question)
+
+    @entrypoint(checkpointer=async_checkpointer)
+    async def workflow(x: int) -> dict:
+        n = await setup(x)
+        answer = await ask(f"q{n}")
+        return {"answer": answer}
+
+    config = {"configurable": {"thread_id": "1"}}
+    result = await workflow.ainvoke(1, config=config)
+    assert "__interrupt__" in result
+
+    put_writes_task_ids: list[str] = []
+    orig = PregelLoop.put_writes
+
+    def spy(self, task_id, writes):
+        put_writes_task_ids.append(task_id)
+        return orig(self, task_id, writes)
+
+    with patch.object(PregelLoop, "put_writes", spy):
+        result = await workflow.ainvoke(Command(resume="ans"), config=config)
+
+    assert result == {"answer": "ans"}
+    # Count unique non-null task IDs that got put_writes.
+    # Should be exactly 2: the ask task and the entrypoint task.
+    # If 3, the cached setup task is being redundantly re-committed.
+    non_null = set(tid for tid in put_writes_task_ids if not tid.startswith("00000000"))
+    assert len(non_null) == 2, (
+        f"Expected 2 task IDs in put_writes (ask + entrypoint), got {len(non_null)}"
+    )
+
+
+@NEEDS_CONTEXTVARS
+async def test_node_before_interrupt_resume_graph_api(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Test that Command(resume=value) works correctly in a StateGraph when a
+    node runs before a node that calls interrupt(). This is the graph-API
+    analog of test_task_before_interrupt_resume (entrypoint API)."""
+
+    class State(TypedDict):
+        topics: list[str]
+        answers: Annotated[list[str], operator.add]
+
+    def setup(state: State) -> dict:
+        return {"topics": [f"topic {i + 1}" for i in range(len(state["topics"]))]}
+
+    def ask(state: State) -> dict:
+        answers = []
+        for topic in state["topics"]:
+            answer = interrupt(f"Whats the answer for {topic}?")
+            answers.append(answer)
+        return {"answers": answers}
+
+    graph = (
+        StateGraph(State)
+        .add_node("setup", setup)
+        .add_node("ask", ask)
+        .add_edge(START, "setup")
+        .add_edge("setup", "ask")
+        .add_edge("ask", END)
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # First invocation - setup runs, then ask interrupts on the first topic
+    result = await graph.ainvoke({"topics": ["a", "b"], "answers": []}, config=config)
+    assert "__interrupt__" in result
+    assert len(result["__interrupt__"]) == 1
+    assert result["__interrupt__"][0].value == "Whats the answer for topic 1?"
+
+    # Resume with answer for topic 1 - should get second interrupt
+    result = await graph.ainvoke(Command(resume="answer1"), config=config)
+    assert "__interrupt__" in result, f"Expected interrupt for topic 2, got: {result}"
+    assert len(result["__interrupt__"]) == 1
+    assert result["__interrupt__"][0].value == "Whats the answer for topic 2?"
+
+    # Resume with answer for topic 2 - should complete
+    result = await graph.ainvoke(Command(resume="answer2"), config=config)
+    assert result == {
+        "topics": ["topic 1", "topic 2"],
+        "answers": ["answer1", "answer2"],
+    }
+
+
+@NEEDS_CONTEXTVARS
+async def test_multiple_nodes_before_interrupt_resume_graph_api(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Test that Command(resume=value) works correctly in a StateGraph when
+    multiple nodes run before a node that calls interrupt(). This is the
+    graph-API analog of test_multiple_tasks_before_interrupt_resume."""
+
+    class State(TypedDict):
+        value: int
+        answer: str
+
+    def step_a(state: State) -> dict:
+        return {"value": state["value"] + 1}
+
+    def step_b(state: State) -> dict:
+        return {"value": state["value"] * 2}
+
+    def ask(state: State) -> dict:
+        answer = interrupt(f"Result so far is {state['value']}. What next?")
+        return {"answer": answer}
+
+    graph = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("step_b", step_b)
+        .add_node("ask", ask)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "step_b")
+        .add_edge("step_b", "ask")
+        .add_edge("ask", END)
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # First invocation - step_a and step_b run, then ask interrupts
+    result = await graph.ainvoke({"value": 5, "answer": ""}, config=config)
+    assert "__interrupt__" in result
+    assert result["__interrupt__"][0].value == "Result so far is 12. What next?"
+
+    # Resume - should complete
+    result = await graph.ainvoke(Command(resume="continue"), config=config)
+    assert result == {"value": 12, "answer": "continue"}
+
+
+@NEEDS_CONTEXTVARS
+async def test_node_before_multiple_interrupt_cycles_graph_api(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Test that a node running before an interrupt node does not interfere
+    with multiple interrupt/resume cycles in a StateGraph."""
+
+    class State(TypedDict):
+        count: int
+        data: str
+
+    def prepare(state: State) -> dict:
+        return {"count": state["count"] + 10}
+
+    def multi_interrupt(state: State) -> dict:
+        first = interrupt("First question?")
+        second = interrupt("Second question?")
+        return {"data": f"{first},{second}"}
+
+    graph = (
+        StateGraph(State)
+        .add_node("prepare", prepare)
+        .add_node("multi_interrupt", multi_interrupt)
+        .add_edge(START, "prepare")
+        .add_edge("prepare", "multi_interrupt")
+        .add_edge("multi_interrupt", END)
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # First invocation - prepare runs, multi_interrupt hits first interrupt
+    result = await graph.ainvoke({"count": 0, "data": ""}, config=config)
+    assert "__interrupt__" in result
+    assert result["__interrupt__"][0].value == "First question?"
+
+    # Resume first interrupt - hits second interrupt
+    result = await graph.ainvoke(Command(resume="first_answer"), config=config)
+    assert "__interrupt__" in result
+    assert result["__interrupt__"][0].value == "Second question?"
+
+    # Resume second interrupt - completes
+    result = await graph.ainvoke(Command(resume="second_answer"), config=config)
+    assert result == {"count": 10, "data": "first_answer,second_answer"}
+
+
 async def test_pregel_loop_refcount():
     gc.collect()
     try:

libs/langgraph/uv.lock

@@ -524,66 +524,61 @@ toml = [
 
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+    { url = "https://files.pythonhosted.org/packages/c1/37/945b4ca0ac27e3dc4952642d4c900edd030b3da6c9634875af6e13ae80e5/uvloop-0.22.1-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b91328c72635f6f9e0282e4a57da7470c7350ab1c9f48546c0f2866205349d21", size = 4467065, upload-time = "2025-10-16T22:16:58.206Z" },
+    { url = "https://files.pythonhosted.org/packages/97/cc/48d232f33d60e2e2e0b42f4e73455b146b76ebe216487e862700457fbf3c/uvloop-0.22.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:daf620c2995d193449393d6c62131b3fbd40a63bf7b307a1527856ace637fe88", size = 4328384, upload-time = "2025-10-16T22:16:59.36Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/16/c1fd27e9549f3c4baf1dc9c20c456cd2f822dbf8de9f463824b0c0357e06/uvloop-0.22.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:6cde23eeda1a25c75b2e07d39970f3374105d5eafbaab2a4482be82f272d5a5e", size = 4296730, upload-time = "2025-10-16T22:17:00.744Z" },
 ]
 
 [[package]]

libs/prebuilt/langgraph/prebuilt/tool_node.py

@@ -922,7 +922,7 @@ class ToolNode(RunnableCallable):
             raise TypeError(msg)
 
         # Inject state, store, and runtime right before invocation
-        injected_call = self._inject_tool_args(call, request.runtime)
+        injected_call = self._inject_tool_args(call, request.runtime, tool)
         call_args = {**injected_call, "type": "tool_call"}
 
         try:
@@ -1075,7 +1075,7 @@ class ToolNode(RunnableCallable):
             raise TypeError(msg)
 
         # Inject state, store, and runtime right before invocation
-        injected_call = self._inject_tool_args(call, request.runtime)
+        injected_call = self._inject_tool_args(call, request.runtime, tool)
         call_args = {**injected_call, "type": "tool_call"}
 
         try:
@@ -1281,6 +1281,7 @@ class ToolNode(RunnableCallable):
         self,
         tool_call: ToolCall,
         tool_runtime: ToolRuntime,
+        tool: BaseTool | None = None,
     ) -> ToolCall:
         """Inject graph state, store, and runtime into tool call arguments.
 
@@ -1299,6 +1300,9 @@ class ToolNode(RunnableCallable):
                 Must contain 'name', 'args', 'id', and 'type' fields.
             tool_runtime: The ToolRuntime instance containing all runtime context
                 (state, config, store, context, stream_writer) to inject into tools.
+            tool: Optional tool instance. When provided, allows injection for
+                dynamically registered tools that are not in self.tools_by_name
+                (e.g., tools added via middleware's wrap_tool_call).
 
         Returns:
             A new ToolCall dictionary with the same structure as the input but with
@@ -1312,10 +1316,12 @@ class ToolNode(RunnableCallable):
             This method is called automatically during tool execution. It should not
             be called from outside the `ToolNode`.
         """
-        if tool_call["name"] not in self.tools_by_name:
-            return tool_call
-
         injected = self._injected_args.get(tool_call["name"])
+        if not injected and tool is not None:
+            # For dynamically registered tools (e.g., added via middleware's
+            # wrap_tool_call), compute injected args on-the-fly since they
+            # were not present during ToolNode initialization.
+            injected = _get_all_injected_args(tool)
         if not injected:
             return tool_call
 

libs/prebuilt/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-prebuilt"
-version = "1.0.7"
+version = "1.0.8"
 description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
 authors = []
 requires-python = ">=3.10"

libs/prebuilt/tests/test_tool_node.py

@@ -1902,3 +1902,109 @@ async def test_tool_node_tool_runtime_generic() -> None:
     assert tool_message.type == "tool"
     assert tool_message.content == "test_info"
     assert tool_message.tool_call_id == "call_1"
+
+
+def test_tool_node_inject_runtime_dynamic_tool_via_wrap_tool_call() -> None:
+    """Test that ToolRuntime is injected for dynamically registered tools.
+
+    Regression test for https://github.com/langchain-ai/langchain/issues/35305.
+    When a tool is dynamically provided via wrap_tool_call (not registered at
+    ToolNode init time), ToolRuntime should still be injected into the tool.
+    """
+
+    @dec_tool
+    def static_tool(x: int) -> str:
+        """A static tool registered at init."""
+        return f"static: {x}"
+
+    @dec_tool
+    def dynamic_tool_with_runtime(x: int, runtime: ToolRuntime) -> str:
+        """A dynamic tool that needs ToolRuntime injection."""
+        return f"dynamic: x={x}, tool_call_id={runtime.tool_call_id}"
+
+    def wrap_tool_call(request, execute):
+        """Middleware that swaps in a dynamic tool."""
+        if request.tool_call["name"] == "dynamic_tool_with_runtime":
+            # Override tool to the dynamic one (not registered at init)
+            new_request = request.override(tool=dynamic_tool_with_runtime)
+            return execute(new_request)
+        return execute(request)
+
+    # ToolNode only knows about static_tool at init time
+    tool_node = ToolNode(
+        [static_tool],
+        wrap_tool_call=wrap_tool_call,
+    )
+
+    # Verify the dynamic tool is NOT in the tool node's registered tools
+    assert "dynamic_tool_with_runtime" not in tool_node.tools_by_name
+
+    # Call the dynamic tool
+    tool_call = {
+        "name": "dynamic_tool_with_runtime",
+        "args": {"x": 42},
+        "id": "call_dynamic_1",
+        "type": "tool_call",
+    }
+    msg = AIMessage("", tool_calls=[tool_call])
+    result = tool_node.invoke(
+        {"messages": [msg]},
+        config=_create_config_with_runtime(),
+    )
+
+    # ToolRuntime should be injected and the tool should execute successfully
+    tool_message = result["messages"][-1]
+    assert tool_message.content == "dynamic: x=42, tool_call_id=call_dynamic_1"
+    assert tool_message.tool_call_id == "call_dynamic_1"
+
+
+async def test_tool_node_inject_runtime_dynamic_tool_via_wrap_tool_call_async() -> None:
+    """Test that ToolRuntime is injected for dynamically registered tools (async).
+
+    Async version of the regression test for
+    https://github.com/langchain-ai/langchain/issues/35305.
+    """
+
+    @dec_tool
+    def static_tool(x: int) -> str:
+        """A static tool registered at init."""
+        return f"static: {x}"
+
+    @dec_tool
+    async def dynamic_tool_with_runtime(x: int, runtime: ToolRuntime) -> str:
+        """A dynamic async tool that needs ToolRuntime injection."""
+        return f"dynamic: x={x}, tool_call_id={runtime.tool_call_id}"
+
+    async def awrap_tool_call(request, execute):
+        """Async middleware that swaps in a dynamic tool."""
+        if request.tool_call["name"] == "dynamic_tool_with_runtime":
+            new_request = request.override(tool=dynamic_tool_with_runtime)
+            return await execute(new_request)
+        return await execute(request)
+
+    # ToolNode only knows about static_tool at init time
+    tool_node = ToolNode(
+        [static_tool],
+        awrap_tool_call=awrap_tool_call,
+    )
+
+    # Verify the dynamic tool is NOT in the tool node's registered tools
+    assert "dynamic_tool_with_runtime" not in tool_node.tools_by_name
+
+    # Call the dynamic tool
+    tool_call = {
+        "name": "dynamic_tool_with_runtime",
+        "args": {"x": 42},
+        "id": "call_dynamic_2",
+        "type": "tool_call",
+    }
+    msg = AIMessage("", tool_calls=[tool_call])
+    result = await tool_node.ainvoke(
+        {"messages": [msg]},
+        config=_create_config_with_runtime(),
+    )
+
+    # ToolRuntime should be injected and the tool should execute successfully
+    tool_message = result["messages"][-1]
+    assert tool_message.content == "dynamic: x=42, tool_call_id=call_dynamic_2"
+    assert tool_message.tool_call_id == "call_dynamic_2"

libs/prebuilt/uv.lock

@@ -249,7 +249,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.7"
+version = "1.2.13"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -261,14 +261,14 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a2/0e/664d8d81b3493e09cbab72448d2f9d693d1fa5aa2bcc488602203a9b6da0/langchain_core-1.2.7.tar.gz", hash = "sha256:e1460639f96c352b4a41c375f25aeb8d16ffc1769499fb1c20503aad59305ced", size = 837039, upload-time = "2026-01-09T17:44:25.505Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/fb/bb/c501ca60556c11ac80d1454bdcac63cb33583ce4e64fc4535ad5a7d5c6ba/langchain_core-1.2.13.tar.gz", hash = "sha256:d2773d0d0130a356378db9a858cfeef64c3d64bc03722f1d4d6c40eb46fdf01b", size = 831612, upload-time = "2026-02-15T07:45:57.014Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/12/ab/60fd69e5d55f67d422baefddaaca523c42cd7510ab6aeb17db6ae57fb107/langchain_core-1.2.13-py3-none-any.whl", hash = "sha256:b31823e28d3eff1e237096d0bd3bf80c6f9624eb471a9496dbfbd427779f8d82", size = 500485, upload-time = "2026-02-15T07:45:55.422Z" },
 ]
 
 [[package]]
 name = "langgraph"
-version = "1.0.8"
+version = "1.0.9"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },
@@ -317,7 +317,7 @@ dev = [
     { name = "ruff" },
     { name = "syrupy" },
     { name = "types-requests" },
-    { name = "uvloop", specifier = "==0.21.0b1" },
+    { name = "uvloop", specifier = "==0.22.1" },
 ]
 lint = [
     { name = "mypy" },
@@ -347,7 +347,7 @@ test = [
     { name = "pytest-xdist", extras = ["psutil"] },
     { name = "redis" },
     { name = "syrupy" },
-    { name = "uvloop", specifier = "==0.21.0b1" },
+    { name = "uvloop", specifier = "==0.22.1" },
 ]
 
 [[package]]
@@ -411,7 +411,7 @@ dependencies = [
 [package.metadata]
 requires-dist = [
     { name = "langgraph-checkpoint", editable = "../checkpoint" },
-    { name = "orjson", specifier = ">=3.10.1" },
+    { name = "orjson", specifier = ">=3.11.5" },
     { name = "psycopg", specifier = ">=3.2.0" },
     { name = "psycopg-pool", specifier = ">=3.2.0" },
 ]
@@ -489,7 +489,7 @@ test = [
 
 [[package]]
 name = "langgraph-prebuilt"
-version = "1.0.7"
+version = "1.0.8"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -585,29 +585,29 @@ dependencies = [
 [package.metadata]
 requires-dist = [
     { name = "httpx", specifier = ">=0.25.2" },
-    { name = "orjson", specifier = ">=3.10.1" },
+    { name = "orjson", specifier = ">=3.11.5" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
     { name = "codespell" },
     { name = "langgraph", editable = "../langgraph" },
-    { name = "mypy", specifier = "==1.19.0" },
+    { name = "mypy", specifier = "==1.19.1" },
     { name = "pydantic", specifier = ">=2.12.4" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff", specifier = "==0.14.11" },
+    { name = "ruff", specifier = "==0.15.1" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.1a27" },
+    { name = "ty", specifier = "==0.0.17" },
 ]
 lint = [
     { name = "codespell" },
-    { name = "mypy", specifier = "==1.19.0" },
-    { name = "ruff", specifier = "==0.14.11" },
+    { name = "mypy", specifier = "==1.19.1" },
+    { name = "ruff", specifier = "==0.15.1" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.1a27" },
+    { name = "ty", specifier = "==0.0.17" },
 ]
 test = [
     { name = "pytest" },
@@ -1305,28 +1305,27 @@ wheels = [
 
 [[package]]
 name = "ruff"
-version = "0.14.13"
+version = "0.15.1"
 source = { registry = "https://pypi.org/simple" }
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 [[package]]
 name = "syrupy"
-version = "5.0.0"
+version = "5.1.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "pytest" },
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+sdist = { url = "https://files.pythonhosted.org/packages/2e/b0/24bca682d6a6337854be37f242d116cceeda9942571d5804c44bc1bdd427/syrupy-5.1.0.tar.gz", hash = "sha256:df543c7aa50d3cf1246e83d58fe490afe5f7dab7b41e74ecc0d8d23ae19bd4b8", size = 50495, upload-time = "2026-01-25T14:53:06.2Z" }
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+    { url = "https://files.pythonhosted.org/packages/de/70/cf880c3b95a6034ef673e74b369941b42315c01f1554a5637a4f8b911009/syrupy-5.1.0-py3-none-any.whl", hash = "sha256:95162d2b05e61ed3e13f117b88dfab7c58bd6f90e66ebbf918e8a77114ad51c5", size = 51658, upload-time = "2026-01-25T14:53:05.105Z" },
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libs/sdk-py/langgraph_sdk/__init__.py

@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
 from langgraph_sdk.encryption import Encryption
 from langgraph_sdk.encryption.types import EncryptionContext
 
-__version__ = "0.3.6"
+__version__ = "0.3.7"
 
 __all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]

libs/sdk-py/langgraph_sdk/_async/assistants.py

@@ -290,7 +290,7 @@ class AssistantsClient:
         """
         get_params = {"recurse": recurse}
         if params:
-            get_params = {**get_params, **params}
+            get_params = {**get_params, **dict(params)}
         if namespace is not None:
             return await self.http.get(
                 f"/assistants/{assistant_id}/subgraphs/{namespace}",
@@ -425,9 +425,9 @@ class AssistantsClient:
         payload: dict[str, Any] = {}
         if graph_id:
             payload["graph_id"] = graph_id
-        if config:
+        if config is not None:
             payload["config"] = config
-        if context:
+        if context is not None:
             payload["context"] = context
         if metadata:
             payload["metadata"] = metadata

libs/sdk-py/langgraph_sdk/_async/client.py

@@ -110,7 +110,7 @@ def get_client(
     if url is None:
         url = "http://api"
         if os.environ.get("__LANGGRAPH_DEFER_LOOPBACK_TRANSPORT") == "true":
-            transport = get_asgi_transport()(app=None, root_path="/noauth")
+            transport = get_asgi_transport()(app=None, root_path="/noauth")  # type: ignore[invalid-argument-type]
             _registered_transports.append(transport)
         else:
             try:
@@ -122,7 +122,7 @@ def get_client(
                     "Failed to connect to in-process LangGraph server. Deferring configuration.",
                     exc_info=True,
                 )
-                transport = get_asgi_transport()(app=None, root_path="/noauth")
+                transport = get_asgi_transport()(app=None, root_path="/noauth")  # type: ignore[invalid-argument-type]
                 _registered_transports.append(transport)
 
     if transport is None:

libs/sdk-py/langgraph_sdk/_async/runs.py

@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+import builtins
 import warnings
 from collections.abc import AsyncIterator, Callable, Mapping, Sequence
 from typing import Any, overload
@@ -507,11 +508,11 @@ class RunsClient:
 
     async def create_batch(
         self,
-        payloads: list[RunCreate],
+        payloads: builtins.list[RunCreate],
         *,
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
-    ) -> list[Run]:
+    ) -> builtins.list[Run]:
         """Create a batch of stateless background runs."""
 
         def filter_payload(payload: RunCreate):
@@ -547,7 +548,7 @@ class RunsClient:
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
         on_run_created: Callable[[RunCreateMetadata], None] | None = None,
-    ) -> list[dict] | dict[str, Any]: ...
+    ) -> builtins.list[dict] | dict[str, Any]: ...
 
     @overload
     async def wait(
@@ -572,7 +573,7 @@ class RunsClient:
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
         on_run_created: Callable[[RunCreateMetadata], None] | None = None,
-    ) -> list[dict] | dict[str, Any]: ...
+    ) -> builtins.list[dict] | dict[str, Any]: ...
 
     async def wait(
         self,
@@ -600,7 +601,7 @@ class RunsClient:
         params: QueryParamTypes | None = None,
         on_run_created: Callable[[RunCreateMetadata], None] | None = None,
         durability: Durability | None = None,
-    ) -> list[dict] | dict[str, Any]:
+    ) -> builtins.list[dict] | dict[str, Any]:
         """Create a run, wait until it finishes and return the final state.
 
         Args:
@@ -751,10 +752,10 @@ class RunsClient:
         limit: int = 10,
         offset: int = 0,
         status: RunStatus | None = None,
-        select: list[RunSelectField] | None = None,
+        select: builtins.list[RunSelectField] | None = None,
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
-    ) -> list[Run]:
+    ) -> builtins.list[Run]:
         """List runs.
 
         Args:

libs/sdk-py/langgraph_sdk/_async/store.py

@@ -138,7 +138,7 @@ class StoreClient:
         if refresh_ttl is not None:
             get_params["refresh_ttl"] = refresh_ttl
         if params:
-            get_params = {**get_params, **params}
+            get_params = {**get_params, **dict(params)}
         return await self.http.get("/store/items", params=get_params, headers=headers)
 
     async def delete_item(

libs/sdk-py/langgraph_sdk/_async/threads.py

@@ -543,7 +543,7 @@ class ThreadsClient:
         elif checkpoint_id:
             get_params = {"subgraphs": subgraphs}
             if params:
-                get_params = {**get_params, **params}
+                get_params = {**get_params, **dict(params)}
             return await self.http.get(
                 f"/threads/{thread_id}/state/{checkpoint_id}",
                 params=get_params,
@@ -552,7 +552,7 @@ class ThreadsClient:
         else:
             get_params = {"subgraphs": subgraphs}
             if params:
-                get_params = {**get_params, **params}
+                get_params = {**get_params, **dict(params)}
             return await self.http.get(
                 f"/threads/{thread_id}/state",
                 params=get_params,

libs/sdk-py/langgraph_sdk/_sync/assistants.py

@@ -294,7 +294,7 @@ class SyncAssistantsClient:
         """
         get_params = {"recurse": recurse}
         if params:
-            get_params = {**get_params, **params}
+            get_params = {**get_params, **dict(params)}
         if namespace is not None:
             return self.http.get(
                 f"/assistants/{assistant_id}/subgraphs/{namespace}",
@@ -427,9 +427,9 @@ class SyncAssistantsClient:
         payload: dict[str, Any] = {}
         if graph_id:
             payload["graph_id"] = graph_id
-        if config:
+        if config is not None:
             payload["config"] = config
-        if context:
+        if context is not None:
             payload["context"] = context
         if metadata:
             payload["metadata"] = metadata

libs/sdk-py/langgraph_sdk/_sync/runs.py

@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+import builtins
 import warnings
 from collections.abc import Callable, Iterator, Mapping, Sequence
 from typing import Any, overload
@@ -503,11 +504,11 @@ class SyncRunsClient:
 
     def create_batch(
         self,
-        payloads: list[RunCreate],
+        payloads: builtins.list[RunCreate],
         *,
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
-    ) -> list[Run]:
+    ) -> builtins.list[Run]:
         """Create a batch of stateless background runs."""
 
         def filter_payload(payload: RunCreate):
@@ -543,7 +544,7 @@ class SyncRunsClient:
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
         on_run_created: Callable[[RunCreateMetadata], None] | None = None,
-    ) -> list[dict] | dict[str, Any]: ...
+    ) -> builtins.list[dict] | dict[str, Any]: ...
 
     @overload
     def wait(
@@ -568,7 +569,7 @@ class SyncRunsClient:
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
         on_run_created: Callable[[RunCreateMetadata], None] | None = None,
-    ) -> list[dict] | dict[str, Any]: ...
+    ) -> builtins.list[dict] | dict[str, Any]: ...
 
     def wait(
         self,
@@ -596,7 +597,7 @@ class SyncRunsClient:
         params: QueryParamTypes | None = None,
         on_run_created: Callable[[RunCreateMetadata], None] | None = None,
         durability: Durability | None = None,
-    ) -> list[dict] | dict[str, Any]:
+    ) -> builtins.list[dict] | dict[str, Any]:
         """Create a run, wait until it finishes and return the final state.
 
         Args:
@@ -740,10 +741,10 @@ class SyncRunsClient:
         limit: int = 10,
         offset: int = 0,
         status: RunStatus | None = None,
-        select: list[RunSelectField] | None = None,
+        select: builtins.list[RunSelectField] | None = None,
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
-    ) -> list[Run]:
+    ) -> builtins.list[Run]:
         """List runs.
 
         Args:

libs/sdk-py/langgraph_sdk/_sync/threads.py

@@ -530,7 +530,7 @@ class SyncThreadsClient:
         elif checkpoint_id:
             get_params = {"subgraphs": subgraphs}
             if params:
-                get_params = {**get_params, **params}
+                get_params = {**get_params, **dict(params)}
             return self.http.get(
                 f"/threads/{thread_id}/state/{checkpoint_id}",
                 params=get_params,
@@ -539,7 +539,7 @@ class SyncThreadsClient:
         else:
             get_params = {"subgraphs": subgraphs}
             if params:
-                get_params = {**get_params, **params}
+                get_params = {**get_params, **dict(params)}
             return self.http.get(
                 f"/threads/{thread_id}/state",
                 params=get_params,

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

@@ -72,8 +72,13 @@ class Auth:
             assert params.get("metadata", {}).get("owner") == "allowed_user"
 
         @auth.on.store
-        async def authorize_store(ctx: Auth.types.AuthContext, value: Auth.types.on):
-            assert ctx.user.identity in value["namespace"], "Not authorized"
+        async def authorize_store(ctx: Auth.types.AuthContext, value: Auth.types.on.store.value):
+            # Automatically scope all store operations to the user's namespace.
+            namespace = tuple(value["namespace"]) if value.get("namespace") else ()
+            assert isinstance(namespace, tuple)
+            if not namespace or namespace[0] != ctx.user.identity:
+                namespace = (ctx.user.identity, *namespace)
+            value["namespace"] = namespace
         ```
 
     ???+ note "Request Processing Flow"
@@ -170,13 +175,32 @@ class Auth:
             ```
 
             Auth for the `store` resource is a bit different since its structure is developer defined.
-            You typically want to enforce user creds in the namespace.
+            You typically want to scope store operations by rewriting the namespace to include the user's identity.
+            The `value` dict is mutable — changes to `value["namespace"]` are used by the server for the actual operation.
 
             ```python
             @auth.on.store
-            async def check_store_access(ctx: AuthContext, value: Auth.types.on) -> bool:
-                # Assuming you structure your store like (store.aput((user_id, application_context), key, value))
-                assert value["namespace"][0] == ctx.user.identity
+            async def authorize_store(ctx: AuthContext, value: Auth.types.on.store.value):
+                # Automatically scope all store operations to the user's namespace.
+                namespace = tuple(value["namespace"]) if value.get("namespace") else ()
+                assert isinstance(namespace, tuple)
+                if not namespace or namespace[0] != ctx.user.identity:
+                    namespace = (ctx.user.identity, *namespace)
+                value["namespace"] = namespace
+            ```
+
+            You can also register handlers for specific store actions:
+
+            ```python
+            @auth.on.store.put
+            async def on_put(ctx: AuthContext, value: Auth.types.on.store.put.value):
+                # value has typed fields: namespace, key, value, index
+                ...
+
+            @auth.on.store.get
+            async def on_get(ctx: AuthContext, value: Auth.types.on.store.get.value):
+                # value has typed fields: namespace, key
+                ...
             ```
         """
         # These are accessed by the API. Changes to their names or types is
@@ -483,9 +507,85 @@ class _CronsOn(
     Search = types.CronsSearch
 
 
+class _StoreActionOn(typing.Generic[T]):
+    """Decorator for registering a handler for a specific store action."""
+
+    def __init__(
+        self,
+        auth: Auth,
+        action: typing.Literal["put", "get", "search", "delete", "list_namespaces"],
+        value: type[T],
+    ) -> None:
+        self.auth = auth
+        self.action = action
+        self.value = value
+
+    def __call__(self, fn: _ActionHandler[T]) -> _ActionHandler[T]:
+        _validate_handler(fn)
+        _register_handler(self.auth, "store", self.action, fn)
+        return fn
+
+
 class _StoreOn:
     def __init__(self, auth: Auth) -> None:
         self._auth = auth
+        self.put = _StoreActionOn(auth, "put", types.StorePut)
+        """Register a handler for store put operations.
+
+        ???+ example "Example"
+            ```python
+            @auth.on.store.put
+            async def on_store_put(ctx: Auth.types.AuthContext, value: Auth.types.on.store.put.value):
+                # Scope puts to user's namespace
+                ...
+            ```
+        """
+        self.get = _StoreActionOn(auth, "get", types.StoreGet)
+        """Register a handler for store get operations.
+
+        ???+ example "Example"
+            ```python
+            @auth.on.store.get
+            async def on_store_get(ctx: Auth.types.AuthContext, value: Auth.types.on.store.get.value):
+                # Scope gets to user's namespace
+                ...
+            ```
+        """
+        self.search = _StoreActionOn(auth, "search", types.StoreSearch)
+        """Register a handler for store search operations.
+
+        ???+ example "Example"
+            ```python
+            @auth.on.store.search
+            async def on_store_search(ctx: Auth.types.AuthContext, value: Auth.types.on.store.search.value):
+                # Scope searches to user's namespace
+                ...
+            ```
+        """
+        self.delete = _StoreActionOn(auth, "delete", types.StoreDelete)
+        """Register a handler for store delete operations.
+
+        ???+ example "Example"
+            ```python
+            @auth.on.store.delete
+            async def on_store_delete(ctx: Auth.types.AuthContext, value: Auth.types.on.store.delete.value):
+                # Scope deletes to user's namespace
+                ...
+            ```
+        """
+        self.list_namespaces = _StoreActionOn(
+            auth, "list_namespaces", types.StoreListNamespaces
+        )
+        """Register a handler for store list_namespaces operations.
+
+        ???+ example "Example"
+            ```python
+            @auth.on.store.list_namespaces
+            async def on_list_ns(ctx: Auth.types.AuthContext, value: Auth.types.on.store.list_namespaces.value):
+                # Scope namespace listing to user's prefix
+                ...
+            ```
+        """
 
     @typing.overload
     def __call__(

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

@@ -402,7 +402,7 @@ class AuthContext(BaseAuthContext):
         "list_namespaces",
     ]
     """The action being performed on the resource.
-    
+
     Most resources support the following actions:
     - create: Create a new resource
     - read: Read information about a resource
@@ -411,8 +411,10 @@ class AuthContext(BaseAuthContext):
     - search: Search for resources
 
     The store supports the following actions:
-    - put: Add or update a document in the store
-    - get: Get a document from the store
+    - put: Add or update an item in the store
+    - get: Get an item from the store
+    - search: Search for items within a namespace prefix
+    - delete: Delete an item from the store
     - list_namespaces: List the namespaces in the store
     """
 
@@ -851,20 +853,34 @@ class CronsSearch(typing.TypedDict, total=False):
 
 
 class StoreGet(typing.TypedDict):
-    """Operation to retrieve a specific item by its namespace and key."""
+    """Operation to retrieve a specific item by its namespace and key.
+
+    This dict is mutable — auth handlers can modify `namespace` to enforce
+    access scoping (e.g., prepending the user's identity).
+    """
 
     namespace: tuple[str, ...]
-    """Hierarchical path that uniquely identifies the item's location."""
+    """Hierarchical path that uniquely identifies the item's location.
+
+    Auth handlers can modify this to enforce per-user scoping.
+    """
 
     key: str
     """Unique identifier for the item within its specific namespace."""
 
 
 class StoreSearch(typing.TypedDict):
-    """Operation to search for items within a specified namespace hierarchy."""
+    """Operation to search for items within a specified namespace hierarchy.
+
+    This dict is mutable — auth handlers can modify `namespace` to enforce
+    access scoping (e.g., prepending the user's identity).
+    """
 
     namespace: tuple[str, ...]
-    """Prefix filter for defining the search scope."""
+    """Prefix filter for defining the search scope.
+
+    Auth handlers can modify this to enforce per-user scoping.
+    """
 
     filter: dict[str, typing.Any] | None
     """Key-value pairs for filtering results based on exact matches or comparison operators."""
@@ -876,14 +892,22 @@ class StoreSearch(typing.TypedDict):
     """Number of matching items to skip for pagination."""
 
     query: str | None
-    """Naturalj language search query for semantic search capabilities."""
+    """Natural language search query for semantic search capabilities."""
 
 
 class StoreListNamespaces(typing.TypedDict):
-    """Operation to list and filter namespaces in the store."""
+    """Operation to list and filter namespaces in the store.
+
+    This dict is mutable — auth handlers can modify `namespace` (the prefix)
+    to enforce access scoping (e.g., prepending the user's identity).
+    """
 
     namespace: tuple[str, ...] | None
-    """Prefix filter namespaces."""
+    """Prefix filter for namespaces. Can be `None` if no prefix was provided.
+
+    Auth handlers can modify this to enforce per-user scoping. When `None`,
+    handlers should set it to `(user_id,)` to scope listing to the user's namespaces.
+    """
 
     suffix: tuple[str, ...] | None
     """Optional conditions for filtering namespaces."""
@@ -903,10 +927,17 @@ class StoreListNamespaces(typing.TypedDict):
 
 
 class StorePut(typing.TypedDict):
-    """Operation to store, update, or delete an item in the store."""
+    """Operation to store, update, or delete an item in the store.
+
+    This dict is mutable — auth handlers can modify `namespace` to enforce
+    access scoping (e.g., prepending the user's identity).
+    """
 
     namespace: tuple[str, ...]
-    """Hierarchical path that identifies the location of the item."""
+    """Hierarchical path that identifies the location of the item.
+
+    Auth handlers can modify this to enforce per-user scoping.
+    """
 
     key: str
     """Unique identifier for the item within its namespace."""
@@ -919,10 +950,17 @@ class StorePut(typing.TypedDict):
 
 
 class StoreDelete(typing.TypedDict):
-    """Operation to delete an item from the store."""
+    """Operation to delete an item from the store.
+
+    This dict is mutable — auth handlers can modify `namespace` to enforce
+    access scoping (e.g., prepending the user's identity).
+    """
 
     namespace: tuple[str, ...]
-    """Hierarchical path that uniquely identifies the item's location."""
+    """Hierarchical path that uniquely identifies the item's location.
+
+    Auth handlers can modify this to enforce per-user scoping.
+    """
 
     key: str
     """Unique identifier for the item within its specific namespace."""

libs/sdk-py/langgraph_sdk/schema.py

@@ -146,7 +146,9 @@ AssistantSortBy = Literal[
 The field to sort by.
 """
 
-ThreadSortBy = Literal["thread_id", "status", "created_at", "updated_at"]
+ThreadSortBy = Literal[
+    "thread_id", "status", "created_at", "updated_at", "state_updated_at"
+]
 """
 The field to sort by.
 """

libs/sdk-py/pyproject.toml

@@ -11,7 +11,7 @@ requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
-dependencies = ["httpx>=0.25.2", "orjson>=3.10.1"]
+dependencies = ["httpx>=0.25.2", "orjson>=3.11.5"]
 
 [tool.hatch.version]
 path = "langgraph_sdk/__init__.py"
@@ -30,10 +30,10 @@ test = [
     "pytest-watch",
 ]
 lint = [
-    "ruff==0.14.11",
+    "ruff==0.15.1",
     "codespell",
-    "mypy==1.19.0",
-    "ty==0.0.1a27",
+    "mypy==1.19.1",
+    "ty==0.0.17",
     "starlette",
 ]
 dev = [

libs/sdk-py/tests/test_client_stream.py

@@ -19,7 +19,7 @@ class AsyncListByteStream(httpx.AsyncByteStream):
         self._chunks = list(chunks)
         self._exc = exc
 
-    async def __aiter__(self):  # type: ignore[override]
+    async def __aiter__(self):
         for chunk in self._chunks:
             yield chunk
         if self._exc is not None:
@@ -34,7 +34,7 @@ class ListByteStream(httpx.ByteStream):
         self._chunks = list(chunks)
         self._exc = exc
 
-    def __iter__(self):  # type: ignore[override]
+    def __iter__(self):
         yield from self._chunks
         if self._exc is not None:
             raise self._exc

libs/sdk-py/tests/test_errors.py

@@ -65,7 +65,7 @@ def test_raise_for_status_typed_maps_exceptions_and_sets_status_code(
     with pytest.raises(exc_type) as ei:
         _raise_for_status_typed(r)
 
-    err = cast("APIStatusError", ei.value)
+    err = ei.value
     assert err.status_code == status
     # response attribute should be present and match
     assert err.response.status_code == status
@@ -113,7 +113,7 @@ def test_error_message_in_str_and_args() -> None:
     r = make_response(422, json_body={"message": "Validation failed"})
     with pytest.raises(UnprocessableEntityError) as ei:
         _raise_for_status_typed(r)
-    err = cast("UnprocessableEntityError", ei.value)
+    err = ei.value
     assert str(err) == "Validation failed"
     assert err.args == ("Validation failed",)
     assert err.message == "Validation failed"

libs/sdk-py/uv.lock

@@ -246,7 +246,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.10"
+version = "1.2.11"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -258,14 +258,14 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ae/60/5dfd49eb4143a3ba72fb93607a71109e56bc92c7144f97eeae103a118e80/langchain_core-1.2.10.tar.gz", hash = "sha256:8c1fa1515b4bf59bf61ff0ff5813dd2b91d4ca1b8bf2ee31c5536364fa4699ae", size = 826391, upload-time = "2026-02-10T14:48:31.679Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/12/17/1943cedfc118e04b8128e4c3e1dbf0fa0ea58eefddbb6198cfd699d19f01/langchain_core-1.2.11.tar.gz", hash = "sha256:f164bb36602dd74a3a50c1334fca75309ad5ed95767acdfdbb9fa95ce28a1e01", size = 831211, upload-time = "2026-02-10T20:35:28.35Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/ed/1b/e27c9d03ae431d7b47d2b3289285473d3e724f17c13c0e2409ec158b91e4/langchain_core-1.2.10-py3-none-any.whl", hash = "sha256:fa327dd6a8a596e73a402ec3fa48ea5c4a5f5ac898e983063d1b70b4fddcdf8e", size = 496673, upload-time = "2026-02-10T14:48:29.388Z" },
+    { url = "https://files.pythonhosted.org/packages/10/30/1f80e3fc674353cad975ed5294353d42512535d2094ef032c06454c2c873/langchain_core-1.2.11-py3-none-any.whl", hash = "sha256:ae11ceb8dda60d0b9d09e763116e592f1683327c17be5b715f350fd29aee65d3", size = 500062, upload-time = "2026-02-10T20:35:26.698Z" },
 ]
 
 [[package]]
 name = "langgraph"
-version = "1.0.8"
+version = "1.0.9"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },
@@ -314,7 +314,7 @@ dev = [
     { name = "ruff" },
     { name = "syrupy" },
     { name = "types-requests" },
-    { name = "uvloop", specifier = "==0.21.0b1" },
+    { name = "uvloop", specifier = "==0.22.1" },
 ]
 lint = [
     { name = "mypy" },
@@ -344,7 +344,7 @@ test = [
     { name = "pytest-xdist", extras = ["psutil"] },
     { name = "redis" },
     { name = "syrupy" },
-    { name = "uvloop", specifier = "==0.21.0b1" },
+    { name = "uvloop", specifier = "==0.22.1" },
 ]
 
 [[package]]
@@ -396,7 +396,7 @@ test = [
 
 [[package]]
 name = "langgraph-prebuilt"
-version = "1.0.7"
+version = "1.0.8"
 source = { editable = "../prebuilt" }
 dependencies = [
     { name = "langchain-core" },
@@ -484,29 +484,29 @@ test = [
 [package.metadata]
 requires-dist = [
     { name = "httpx", specifier = ">=0.25.2" },
-    { name = "orjson", specifier = ">=3.10.1" },
+    { name = "orjson", specifier = ">=3.11.5" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
     { name = "codespell" },
     { name = "langgraph", editable = "../langgraph" },
-    { name = "mypy", specifier = "==1.19.0" },
+    { name = "mypy", specifier = "==1.19.1" },
     { name = "pydantic", specifier = ">=2.12.4" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff", specifier = "==0.14.11" },
+    { name = "ruff", specifier = "==0.15.1" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.1a27" },
+    { name = "ty", specifier = "==0.0.17" },
 ]
 lint = [
     { name = "codespell" },
-    { name = "mypy", specifier = "==1.19.0" },
-    { name = "ruff", specifier = "==0.14.11" },
+    { name = "mypy", specifier = "==1.19.1" },
+    { name = "ruff", specifier = "==0.15.1" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.1a27" },
+    { name = "ty", specifier = "==0.0.17" },
 ]
 test = [
     { name = "pytest" },
@@ -610,48 +610,48 @@ wheels = [
 
 [[package]]
 name = "mypy"
-version = "1.19.0"
+version = "1.19.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "librt" },
+    { name = "librt", marker = "platform_python_implementation != 'PyPy'" },
     { name = "mypy-extensions" },
     { name = "pathspec" },
     { name = "tomli", marker = "python_full_version < '3.11'" },
     { name = "typing-extensions" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/f5/db/4efed9504bc01309ab9c2da7e352cc223569f05478012b5d9ece38fd44d2/mypy-1.19.1.tar.gz", hash = "sha256:19d88bb05303fe63f71dd2c6270daca27cb9401c4ca8255fe50d1d920e0eb9ba", size = 3582404, upload-time = "2025-12-15T05:03:48.42Z" }
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