fix: preserve updated_channels shape in update_state delta path

The supersteps-based delta history walk requires update_state to write counters_since_delta_snapshot metadata, but passing updated_channels to create_checkpoint also overrode checkpoint["updated_channels"] (was None), breaking deferred-node triggering on resume for non-delta graphs (test_in_one_fan_out_state_graph_defer_node). Keep updated_channels at its default so resume/trigger semantics are unchanged; still write the counter metadata and snapshot delta channels that hit their cadence. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
fix
2026-08-22 07:32:25 +02:00 · 2026-07-01 10:59:45 -07:00 · 2026-06-30 21:22:00 -07:00 · 2026-06-27 23:12:55 -07:00 · 2026-06-27 18:22:23 -07:00 · 2026-06-27 18:12:22 -07:00
74 changed files with 4025 additions and 1508 deletions
@@ -24,7 +24,7 @@ runs:
  using: composite
  steps:
    - name: Install uv and set the python version
-      uses: astral-sh/setup-uv@v7
+      uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
      with:
        python-version: ${{ inputs.python-version }}
        enable-cache: ${{ inputs.enable-cache }}
@@ -37,7 +37,7 @@ jobs:
      run:
        working-directory: libs/cli
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
      - name: Get changed files
        id: changed-files
        if: github.event_name != 'workflow_dispatch'
@@ -126,8 +126,8 @@ jobs:
            exit 1
          fi
          LANGCHAIN_ANTHROPIC_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-anthropic'); print(v);")
-          if [ "$LANGCHAIN_ANTHROPIC_VERSION" != "1.0.0a5" ]; then
-            echo "LANGCHAIN_ANTHROPIC_VERSION != 1.0.0a5; $LANGCHAIN_ANTHROPIC_VERSION"
+          if [ "$LANGCHAIN_ANTHROPIC_VERSION" != "1.4.6" ]; then
+            echo "LANGCHAIN_ANTHROPIC_VERSION != 1.4.6; $LANGCHAIN_ANTHROPIC_VERSION"
            exit 1
          fi

@@ -31,7 +31,7 @@ jobs:
          - "3.12"
    name: "lint #${{ matrix.python-version }}"
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
      - name: Get changed files
        id: changed-files
        if: github.event_name != 'workflow_dispatch'
@@ -23,7 +23,7 @@ jobs:
    env:
      HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3

      - name: Set up Python
        uses: ./.github/actions/uv_setup
@@ -25,7 +25,7 @@ jobs:

    name: "test #${{ matrix.python-version }}"
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
      - name: Set up Python ${{ matrix.python-version }}
        uses: ./.github/actions/uv_setup
        with:
@@ -23,7 +23,7 @@ jobs:
        working-directory: libs/langgraph
    name: "test #${{ matrix.python-version }}"
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
      - name: Set up Python ${{ matrix.python-version }}
        uses: ./.github/actions/uv_setup
        with:
@@ -23,7 +23,7 @@ jobs:
      version: ${{ steps.check-version.outputs.version }}

    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3

      - name: Set up Python ${{ env.PYTHON_VERSION }}
        uses: ./.github/actions/uv_setup
@@ -48,7 +48,7 @@ jobs:
        working-directory: ${{ inputs.working-directory }}

      - name: Upload build
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
        with:
          name: test-dist
          path: ${{ inputs.working-directory }}/dist/
@@ -74,9 +74,9 @@ jobs:
      id-token: write

    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3

-      - uses: actions/download-artifact@v8
+      - uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
        with:
          name: test-dist
          path: ${{ inputs.working-directory }}/dist/
@@ -17,7 +17,7 @@ jobs:
      run:
        working-directory: libs/langgraph
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
      - run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
      - name: Set up Python 3.11
        uses: ./.github/actions/uv_setup
@@ -30,7 +30,7 @@ jobs:
      - name: Run benchmarks
        run: OUTPUT=out/benchmark-baseline.json make -s benchmark
      - name: Save outputs
-        uses: actions/cache/save@v5
+        uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
        with:
          key: ${{ runner.os }}-benchmark-baseline-${{ env.SHA }}
          path: |
@@ -15,7 +15,7 @@ jobs:
      run:
        working-directory: libs/langgraph
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
      - id: files
        name: Get changed files
        uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
@@ -30,7 +30,7 @@ jobs:
      - name: Install dependencies
        run: uv sync --group test
      - name: Download baseline
-        uses: actions/cache/restore@v5
+        uses: actions/cache/restore@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
        with:
          key: ${{ runner.os }}-benchmark-baseline
          restore-keys: |
@@ -57,7 +57,7 @@ jobs:
            echo EOF
          } >> "$GITHUB_OUTPUT"
      - name: Annotation
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        env:
          CHANGED_FILES: ${{ steps.files.outputs.added_modified_renamed }}
          BENCHMARK_OUTPUT: ${{ steps.benchmark.outputs.OUTPUT }}
@@ -30,7 +30,7 @@ jobs:
      deps: ${{ steps.filter.outputs.deps || 'true' }}
      sdk_py: ${{ steps.filter.outputs.sdk_py || 'true' }}
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
      - uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
        if: github.event_name != 'workflow_dispatch'
        id: filter
@@ -112,9 +112,9 @@ jobs:
    name: "Check SDK methods matching"
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
      - name: Set up Python
-        uses: actions/setup-python@v6
+        uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
        with:
          python-version: "3.11"
      - name: Run check_sdk_methods script
@@ -130,7 +130,7 @@ jobs:
        python-version:
          - "3.13"
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
      - name: Set up Python ${{ matrix.python-version }}
        uses: ./.github/actions/uv_setup
        with:
@@ -26,10 +26,10 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout
-        uses: actions/checkout@v6
+        uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3

      - name: Setup Python
-        uses: actions/setup-python@v6
+        uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
        with:
          python-version: '3.11'

@@ -37,13 +37,13 @@ jobs:
        run: python docs/generate_redirects.py

      - name: Setup Pages
-        uses: actions/configure-pages@v6
+        uses: actions/configure-pages@45bfe0192ca1faeb007ade9deae92b16b8254a0d # v6.0.0

      - name: Upload artifact
-        uses: actions/upload-pages-artifact@v5
+        uses: actions/upload-pages-artifact@fc324d3547104276b827a68afc52ff2a11cc49c9 # v5.0.0
        with:
          path: 'docs/_site'

      - name: Deploy to GitHub Pages
        id: deployment
-        uses: actions/deploy-pages@v5
+        uses: actions/deploy-pages@cd2ce8fcbc39b97be8ca5fce6e763baed58fa128 # v5.0.0
@@ -25,7 +25,7 @@ jobs:
      tag: ${{ steps.check-version.outputs.tag }}

    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3

      - name: Set up Python
        uses: ./.github/actions/uv_setup
@@ -51,7 +51,7 @@ jobs:
        working-directory: ${{ inputs.working-directory }}

      - name: Upload build
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
        with:
          name: dist
          path: ${{ inputs.working-directory }}/dist/
@@ -87,7 +87,7 @@ jobs:
    outputs:
      release-body: ${{ steps.generate-release-body.outputs.release-body }}
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
        with:
          repository: langchain-ai/langgraph
          path: langgraph
@@ -158,7 +158,7 @@ jobs:
      - test-pypi-publish
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3

      # We explicitly *don't* set up caching here. This ensures our tests are
      # maximally sensitive to catching breakage.
@@ -262,7 +262,7 @@ jobs:
        working-directory: ${{ inputs.working-directory }}

    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3

      - name: Set up Python
        uses: ./.github/actions/uv_setup
@@ -272,7 +272,7 @@ jobs:
          enable-cache: false
          working-directory: ${{ inputs.working-directory }}

-      - uses: actions/download-artifact@v8
+      - uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
        with:
          name: dist
          path: ${{ inputs.working-directory }}/dist/
@@ -304,7 +304,7 @@ jobs:
        working-directory: ${{ inputs.working-directory }}

    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3

      - name: Set up Python
        uses: ./.github/actions/uv_setup
@@ -314,7 +314,7 @@ jobs:
          enable-cache: false
          working-directory: ${{ inputs.working-directory }}

-      - uses: actions/download-artifact@v8
+      - uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
        with:
          name: dist
          path: ${{ inputs.working-directory }}/dist/
@@ -26,7 +26,7 @@ jobs:

    steps:
      - name: Find and reopen matching PRs
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          script: |
            const { owner, repo } = context.repo;
@@ -50,7 +50,7 @@ jobs:
    steps:
      - name: Check for issue link and assignee
        id: check-link
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          script: |
            const { owner, repo } = context.repo;
@@ -283,7 +283,7 @@ jobs:
        if: >-
          env.ENFORCE_ISSUE_LINK == 'true' &&
          (steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          script: |
            const { owner, repo } = context.repo;
@@ -312,7 +312,7 @@ jobs:
        if: >-
          env.ENFORCE_ISSUE_LINK == 'true' &&
          steps.check-link.outputs.has-link == 'true' && steps.check-link.outputs.is-assigned == 'true'
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          script: |
            const { owner, repo } = context.repo;
@@ -366,7 +366,7 @@ jobs:
        if: >-
          env.ENFORCE_ISSUE_LINK == 'true' &&
          (steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          script: |
            const { owner, repo } = context.repo;
@@ -55,7 +55,7 @@ jobs:
    steps:
      - name: Generate GitHub App token
        id: app-token
-        uses: actions/create-github-app-token@v3
+        uses: actions/create-github-app-token@bcd2ba49218906704ab6c1aa796996da409d3eb1 # v3.2.0
        with:
          app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
          private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
@@ -63,7 +63,7 @@ jobs:
      - name: Check if contributor is external
        if: steps.app-token.outcome == 'success'
        id: check-membership
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          github-token: ${{ steps.app-token.outputs.token }}
          script: |
@@ -102,7 +102,7 @@ jobs:

      - name: Apply contributor tier label
        if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          script: |
@@ -155,7 +155,7 @@ jobs:

      - name: Add external label
        if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          script: |
@@ -168,7 +168,7 @@ jobs:

      - name: Add internal label
        if: steps.check-membership.outputs.is-external == 'false'
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          script: |
@@ -190,13 +190,13 @@ jobs:
    steps:
      - name: Generate GitHub App token
        id: app-token
-        uses: actions/create-github-app-token@v3
+        uses: actions/create-github-app-token@bcd2ba49218906704ab6c1aa796996da409d3eb1 # v3.2.0
        with:
          app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
          private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}

      - name: Backfill labels
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          github-token: ${{ steps.app-token.outputs.token }}
          script: |
@@ -40,7 +40,7 @@ jobs:
    steps:
      - name: Generate GitHub App token
        id: app-token
-        uses: actions/create-github-app-token@v3
+        uses: actions/create-github-app-token@bcd2ba49218906704ab6c1aa796996da409d3eb1 # v3.2.0
        with:
          app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
          private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
@@ -48,7 +48,7 @@ jobs:
      - name: Check if contributor is external
        if: steps.app-token.outcome == 'success'
        id: check-membership
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          github-token: ${{ steps.app-token.outputs.token }}
          script: |
@@ -90,7 +90,7 @@ jobs:
      # event fires and triggers require_issue_link.yml.
      - name: Apply contributor tier label
        if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          # Use App token so the "labeled" event propagates to downstream
          # workflows (e.g. require_issue_link.yml).
@@ -145,7 +145,7 @@ jobs:

      - name: Add external label
        if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          # Use App token so the "labeled" event propagates to downstream
          # workflows (e.g. require_issue_link.yml). Events created by the
@@ -161,7 +161,7 @@ jobs:

      - name: Add internal label
        if: steps.check-membership.outputs.is-external == 'false'
-        uses: actions/github-script@v9
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          script: |
@@ -16,7 +16,7 @@ jobs:
    runs-on: ubuntu-latest
    
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
      
      - name: Set up uv
        uses: ./.github/actions/uv_setup
@@ -1,3 +1,11 @@
 # LangGraph examples

-This directory is retained purely for archival purposes and is no longer updated. The examples previously found here have been moved to the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview). Please refer to the LangChain docs for the most up-to-date examples and usage guidelines for LangGraph.
+This directory is retained purely for archival purposes and is no longer updated.
+
+## 🤔 What is this?
+
+The examples previously found here have been moved to the consolidated LangChain documentation. This directory remains available for historical reference, but new examples and usage guidance are published in the docs.
+
+## 📖 Documentation
+
+For up-to-date LangGraph examples, tutorials, and guides, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview). Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
@@ -0,0 +1,132 @@
+# delta-channel-dump
+
+Recover messages (and other channels) from a Postgres-backed LangGraph thread
+written by **langgraph >= 1.2** (DeltaChannel format) — including **LangGraph
+Server / langgraph-api** deployments on the Postgres runtime, **deepagents
+0.6.x**, or any OSS app using `PostgresSaver` — before rolling back to an older
+runtime such as **deepagents 0.5.x / langgraph < 1.2**.
+
+langgraph-api uses the same `checkpoints` / `checkpoint_blobs` / `checkpoint_writes`
+schema as OSS `checkpoint-postgres`; this script reads those tables directly.
+
+On the older runtime, `add_messages` does not understand the `EXT_DELTA_SNAPSHOT`
+msgpack ext code and silently returns an empty list for affected channels. This
+tool reads the raw checkpoint blobs from Postgres and emits JSON you can inspect
+and re-apply via `update_state` (LangGraph Server SDK) or `graph.update_state`
+(OSS).
+
+## Install
+
+```bash
+pip install "psycopg[binary]" ormsgpack
+```
+
+## Run
+
+```bash
+export DATABASE_URI=postgres://user:pass@host:5432/dbname
+python3 dump.py \
+    --thread-id <uuid> \
+    --channel messages \
+    [--channel files ...] \
+    [--checkpoint-id <uuid>] \
+    [--checkpoint-ns ""] \
+    --output recovery.json
+```
+
+- `--thread-id` (required): thread UUID
+- `--channel` (required, repeatable): channel names to recover
+- `--checkpoint-id` (optional): target checkpoint; defaults to latest
+- `--checkpoint-ns` (optional): namespace; defaults to `""`
+- `--database-uri` (optional): Postgres URI; defaults to `DATABASE_URI` env var
+- `--output` (optional): output file; defaults to stdout
+
+## Output
+
+```json
+{
+  "thread_id": "...",
+  "checkpoint_ns": "",
+  "target_checkpoint_id": "...",
+  "parent_checkpoint_id": "...",
+  "channels": {
+    "messages": {
+      "delta_kind": "snapshot",
+      "seed_checkpoint_id": "...",
+      "seed_version": "...",
+      "seed": [{ "type": "ai", "content": "...", "id": "ai-0" }],
+      "writes": [
+        {
+          "checkpoint_id": "...",
+          "task_id": "...",
+          "idx": 0,
+          "value": [{ "type": "ai", "content": "...", "id": "ai-10" }]
+        }
+      ]
+    }
+  }
+}
+```
+
+`delta_kind` is one of:
+
+- `snapshot` — DeltaChannel snapshot blob (`channel_values[ch] == true`)
+- `legacy_plain` — pre-DeltaChannel inline or blob value
+- `no_seed` — walked to root without finding a populated ancestor
+
+`writes` are ordered oldest-to-newest (the order a reducer would replay them).
+
+## Reducing back to a single list
+
+For deepagents-style messages, combine seed and writes, then deduplicate:
+
+```python
+import json
+
+data = json.load(open("recovery.json"))
+ch = data["channels"]["messages"]
+messages = list(ch["seed"] or [])
+for w in ch["writes"]:
+    messages.extend(w["value"] or [])
+
+# Dedup by id, keep last; drop RemoveMessage tombstones
+by_id = {}
+for m in messages:
+    if isinstance(m, dict) and m.get("type") == "remove":
+        by_id.pop(m.get("id"), None)
+    elif isinstance(m, dict) and m.get("id"):
+        by_id[m["id"]] = m
+    else:
+        by_id[id(m)] = m
+reduced = list(by_id.values())
+```
+
+This approximates `_messages_delta_reducer` semantics; adjust for your graph.
+
+## Re-applying
+
+```python
+from langgraph_sdk import get_client
+
+client = get_client(url="http://localhost:8123")
+await client.threads.update_state(
+    thread_id,
+    values={"messages": reduced},
+)
+```
+
+Review the recovered JSON before calling `update_state`. This tool is
+read-only and intentionally does not mutate the database.
+
+## Scope / non-goals (v1)
+
+- **Postgres only** — OSS `PostgresSaver` or langgraph-api Postgres runtime; not
+  inmem, gRPC core, Mongo, or Redis checkpointer backends
+- **No AES decryption** (`LANGGRAPH_AES_KEY`) or custom encryption
+- **No reducer** — raw seed + writes only
+- **No automatic `update_state`** — operator applies manually
+
+## Copying
+
+`dump.py` is self-contained. Copy it anywhere; only `psycopg[binary]` and
+`ormsgpack` are required at runtime. No langgraph imports.
@@ -0,0 +1,469 @@
+#!/usr/bin/env python3
+"""Recover delta-channel state from a Postgres-backed LangGraph thread.
+
+Works with OSS ``PostgresSaver`` and LangGraph Server / langgraph-api on the
+Postgres runtime (same checkpoint schema). Use after rolling back from
+langgraph >= 1.2 / deepagents 0.6.x to an older runtime that does not
+understand ``EXT_DELTA_SNAPSHOT`` msgpack blobs. The script walks the checkpoint
+parent chain, decodes msgpack blobs, and emits a JSON dump of per-channel
+``seed`` plus oldest-to-newest ``writes``. Apply the recovered values manually
+via ``client.threads.update_state(...)`` (Server) or ``graph.update_state``
+(OSS).
+
+Install::
+
+    pip install "psycopg[binary]" ormsgpack
+
+Run::
+
+    export DATABASE_URI=postgres://...
+    python3 dump.py --thread-id <uuid> --channel messages --output recovery.json
+
+Scope (v1): Postgres only; no AES/custom encryption; no reducer application.
+"""
+
+from __future__ import annotations
+
+import argparse
+import base64
+import json
+import os
+import sys
+import uuid
+from typing import Any
+
+import ormsgpack
+import psycopg
+
+# LangGraph msgpack EXT type codes (langgraph/checkpoint/serde/jsonplus.py).
+EXT_CONSTRUCTOR_SINGLE_ARG = 0
+EXT_CONSTRUCTOR_POS_ARGS = 1
+EXT_CONSTRUCTOR_KW_ARGS = 2
+EXT_METHOD_SINGLE_ARG = 3
+EXT_PYDANTIC_V1 = 4
+EXT_PYDANTIC_V2 = 5
+EXT_NUMPY_ARRAY = 6
+EXT_DELTA_SNAPSHOT = 7
+
+_MSGPACK_OPTION = ormsgpack.OPT_NON_STR_KEYS
+
+
+def ext_hook(code: int, data: bytes) -> Any:
+    """Decode LangGraph msgpack EXT payloads to JSON-friendly Python values."""
+    if code == EXT_DELTA_SNAPSHOT:
+        inner = ormsgpack.unpackb(data, ext_hook=ext_hook, option=_MSGPACK_OPTION)
+        return {"__delta_snapshot__": inner}
+    if code == EXT_CONSTRUCTOR_SINGLE_ARG:
+        try:
+            tup = ormsgpack.unpackb(data, ext_hook=ext_hook, option=_MSGPACK_OPTION)
+            if tup[0] == "uuid" and tup[1] == "UUID":
+                hex_ = tup[2]
+                return (
+                    f"{hex_[:8]}-{hex_[8:12]}-{hex_[12:16]}-"
+                    f"{hex_[16:20]}-{hex_[20:]}"
+                )
+            return tup[2]
+        except Exception:
+            return None
+    if code == EXT_CONSTRUCTOR_POS_ARGS:
+        try:
+            tup = ormsgpack.unpackb(data, ext_hook=ext_hook, option=_MSGPACK_OPTION)
+            if tup[0] == "langgraph.types" and tup[1] == "Send":
+                args = tup[2]
+                if len(args) == 2:
+                    return {"__send__": {"node": args[0], "arg": args[1]}}
+                return {
+                    "__send__": {
+                        "node": args[0],
+                        "arg": args[1],
+                        "timeout": args[2],
+                    }
+                }
+            return tup[2]
+        except Exception:
+            return None
+    if code in (EXT_CONSTRUCTOR_KW_ARGS, EXT_METHOD_SINGLE_ARG):
+        try:
+            tup = ormsgpack.unpackb(data, ext_hook=ext_hook, option=_MSGPACK_OPTION)
+            return tup[2]
+        except Exception:
+            return None
+    if code in (EXT_PYDANTIC_V1, EXT_PYDANTIC_V2):
+        try:
+            tup = ormsgpack.unpackb(data, ext_hook=ext_hook, option=_MSGPACK_OPTION)
+            return tup[2]
+        except Exception:
+            return None
+    if code == EXT_NUMPY_ARRAY:
+        try:
+            dtype_str, shape, order, buf = ormsgpack.unpackb(
+                data, ext_hook=ext_hook, option=_MSGPACK_OPTION
+            )
+            return {
+                "__numpy_array__": {
+                    "dtype": dtype_str,
+                    "shape": shape,
+                    "order": order,
+                    "data_b64": base64.b64encode(buf).decode("ascii"),
+                }
+            }
+        except Exception:
+            return None
+    return None
+
+
+def decode_blob(blob_type: str, blob_bytes: bytes | None) -> Any:
+    if blob_type in ("empty", "null") or blob_bytes is None:
+        return None
+    if blob_type == "msgpack":
+        return ormsgpack.unpackb(
+            blob_bytes, ext_hook=ext_hook, option=_MSGPACK_OPTION
+        )
+    if blob_type in ("bytes", "bytearray"):
+        return base64.b64encode(blob_bytes).decode("ascii")
+    raise RuntimeError(
+        f"Unknown blob type {blob_type!r}. "
+        "AES/custom-encrypted deployments are out of scope for v1."
+    )
+
+
+def delta_unwrap(value: Any) -> Any:
+    if isinstance(value, dict) and "__delta_snapshot__" in value:
+        return value["__delta_snapshot__"]
+    return value
+
+
+def json_default(obj: Any) -> Any:
+    if isinstance(obj, (bytes, bytearray)):
+        return base64.b64encode(bytes(obj)).decode("ascii")
+    if isinstance(obj, uuid.UUID):
+        return str(obj)
+    raise TypeError(f"Object of type {type(obj).__name__} is not JSON serializable")
+
+
+def resolve_target_checkpoint_id(
+    conn: psycopg.Connection[Any],
+    thread_id: str,
+    checkpoint_ns: str,
+    checkpoint_id: str | None,
+) -> str:
+    if checkpoint_id is not None:
+        return checkpoint_id
+    row = conn.execute(
+        """
+        SELECT checkpoint_id::text
+        FROM checkpoints
+        WHERE thread_id = %s AND checkpoint_ns = %s
+        ORDER BY checkpoint_id DESC
+        LIMIT 1
+        """,
+        (thread_id, checkpoint_ns),
+    ).fetchone()
+    if row is None:
+        raise SystemExit(
+            f"No checkpoints found for thread_id={thread_id!r} "
+            f"checkpoint_ns={checkpoint_ns!r}"
+        )
+    return row[0]
+
+
+def _load_checkpoint(
+    conn: psycopg.Connection[Any],
+    thread_id: str,
+    checkpoint_ns: str,
+    checkpoint_id: str,
+) -> tuple[dict[str, Any], str | None] | None:
+    row = conn.execute(
+        """
+        SELECT checkpoint, parent_checkpoint_id::text
+        FROM checkpoints
+        WHERE thread_id = %s AND checkpoint_ns = %s AND checkpoint_id = %s
+        """,
+        (thread_id, checkpoint_ns, checkpoint_id),
+    ).fetchone()
+    if row is None:
+        return None
+    return row[0], row[1]
+
+
+def _load_seed(
+    conn: psycopg.Connection[Any],
+    *,
+    thread_id: str,
+    checkpoint_ns: str,
+    channel: str,
+    checkpoint_id: str,
+    channel_values: dict[str, Any],
+    channel_versions: dict[str, str],
+) -> dict[str, Any]:
+    cv = channel_values[channel]
+    version = channel_versions.get(channel)
+    if cv is True:
+        blob_row = conn.execute(
+            """
+            SELECT type, blob
+            FROM checkpoint_blobs
+            WHERE thread_id = %s AND checkpoint_ns = %s
+              AND channel = %s AND version = %s
+            """,
+            (thread_id, checkpoint_ns, channel, version),
+        ).fetchone()
+        seed_value = None
+        if blob_row is not None and blob_row[0] != "empty":
+            seed_value = delta_unwrap(decode_blob(blob_row[0], blob_row[1]))
+        return {
+            "delta_kind": "snapshot",
+            "seed_checkpoint_id": checkpoint_id,
+            "seed_version": version,
+            "seed": seed_value,
+        }
+    if isinstance(cv, (int, float, str, bool)) or cv is None:
+        return {
+            "delta_kind": "legacy_plain",
+            "seed_checkpoint_id": checkpoint_id,
+            "seed_version": version,
+            "seed": cv,
+        }
+    blob_row = conn.execute(
+        """
+        SELECT type, blob
+        FROM checkpoint_blobs
+        WHERE thread_id = %s AND checkpoint_ns = %s
+          AND channel = %s AND version = %s
+        """,
+        (thread_id, checkpoint_ns, channel, version),
+    ).fetchone()
+    seed_value = cv if blob_row is None else decode_blob(blob_row[0], blob_row[1])
+    return {
+        "delta_kind": "legacy_plain",
+        "seed_checkpoint_id": checkpoint_id,
+        "seed_version": version,
+        "seed": seed_value,
+    }
+
+
+def _load_writes_for_checkpoint(
+    conn: psycopg.Connection[Any],
+    *,
+    thread_id: str,
+    checkpoint_ns: str,
+    checkpoint_id: str,
+    channel: str,
+) -> list[dict[str, Any]]:
+    """Load writes for one checkpoint, newest-first by ``(task_id, idx)``.
+
+    ``walk_channel`` reverses the accumulated flat list before returning;
+    DESC here yields oldest-first within each checkpoint in the final output,
+    matching ``PostgresSaver._build_delta_channels_writes_history``.
+    """
+    rows = conn.execute(
+        """
+        SELECT task_id::text, idx, type, blob
+        FROM checkpoint_writes
+        WHERE thread_id = %s AND checkpoint_ns = %s
+          AND checkpoint_id = %s AND channel = %s
+        ORDER BY task_id DESC, idx DESC
+        """,
+        (thread_id, checkpoint_ns, checkpoint_id, channel),
+    ).fetchall()
+    return [
+        {
+            "checkpoint_id": checkpoint_id,
+            "task_id": task_id,
+            "idx": idx,
+            "value": decode_blob(blob_type, blob_bytes),
+        }
+        for task_id, idx, blob_type, blob_bytes in rows
+    ]
+
+
+def walk_channel(
+    conn: psycopg.Connection[Any],
+    *,
+    thread_id: str,
+    checkpoint_ns: str,
+    start_checkpoint_id: str | None,
+    channel: str,
+) -> dict[str, Any]:
+    """Walk one channel's parent chain from target.parent backward to seed."""
+    chain_writes_newest_first: list[dict[str, Any]] = []
+    cur = start_checkpoint_id
+    while cur is not None:
+        loaded = _load_checkpoint(conn, thread_id, checkpoint_ns, cur)
+        if loaded is None:
+            break
+        checkpoint_json, parent_id = loaded
+        channel_values = checkpoint_json.get("channel_values") or {}
+        channel_versions = checkpoint_json.get("channel_versions") or {}
+
+        chain_writes_newest_first.extend(
+            _load_writes_for_checkpoint(
+                conn,
+                thread_id=thread_id,
+                checkpoint_ns=checkpoint_ns,
+                checkpoint_id=cur,
+                channel=channel,
+            )
+        )
+
+        if channel in channel_values:
+            seed = _load_seed(
+                conn,
+                thread_id=thread_id,
+                checkpoint_ns=checkpoint_ns,
+                channel=channel,
+                checkpoint_id=cur,
+                channel_values=channel_values,
+                channel_versions=channel_versions,
+            )
+            seed["writes"] = list(reversed(chain_writes_newest_first))
+            return seed
+
+        cur = parent_id
+
+    return {
+        "delta_kind": "no_seed",
+        "seed_checkpoint_id": None,
+        "seed_version": None,
+        "seed": None,
+        "writes": list(reversed(chain_writes_newest_first)),
+    }
+
+
+def walk_parent_chain(
+    conn: psycopg.Connection[Any],
+    *,
+    thread_id: str,
+    checkpoint_ns: str,
+    target_checkpoint_id: str,
+    channels: list[str],
+) -> tuple[str | None, dict[str, dict[str, Any]]]:
+    """Walk parent chain and return per-channel seed + writes (oldest-first)."""
+    parent_row = conn.execute(
+        """
+        SELECT parent_checkpoint_id::text
+        FROM checkpoints
+        WHERE thread_id = %s AND checkpoint_ns = %s AND checkpoint_id = %s
+        """,
+        (thread_id, checkpoint_ns, target_checkpoint_id),
+    ).fetchone()
+    if parent_row is None:
+        raise SystemExit(
+            f"Checkpoint {target_checkpoint_id!r} not found for thread {thread_id!r}"
+        )
+    parent_checkpoint_id = parent_row[0]
+
+    result = {
+        ch: walk_channel(
+            conn,
+            thread_id=thread_id,
+            checkpoint_ns=checkpoint_ns,
+            start_checkpoint_id=parent_checkpoint_id,
+            channel=ch,
+        )
+        for ch in channels
+    }
+    return parent_checkpoint_id, result
+
+
+def build_output(
+    *,
+    thread_id: str,
+    checkpoint_ns: str,
+    target_checkpoint_id: str,
+    parent_checkpoint_id: str | None,
+    channels: dict[str, dict[str, Any]],
+) -> dict[str, Any]:
+    return {
+        "thread_id": thread_id,
+        "checkpoint_ns": checkpoint_ns,
+        "target_checkpoint_id": target_checkpoint_id,
+        "parent_checkpoint_id": parent_checkpoint_id,
+        "channels": channels,
+    }
+
+
+def parse_args(argv: list[str] | None = None) -> argparse.Namespace:
+    parser = argparse.ArgumentParser(
+        description=(
+            "Recover delta-channel seed + writes from Postgres checkpoint data."
+        ),
+    )
+    parser.add_argument("--thread-id", required=True, help="Thread UUID")
+    parser.add_argument(
+        "--channel",
+        action="append",
+        required=True,
+        dest="channels",
+        help="Channel name (repeatable)",
+    )
+    parser.add_argument(
+        "--checkpoint-id",
+        default=None,
+        help="Target checkpoint UUID (default: latest for thread)",
+    )
+    parser.add_argument(
+        "--checkpoint-ns",
+        default="",
+        help='Checkpoint namespace (default: "")',
+    )
+    parser.add_argument(
+        "--database-uri",
+        default=os.environ.get("DATABASE_URI"),
+        help="Postgres URI (default: DATABASE_URI env var)",
+    )
+    parser.add_argument(
+        "--output",
+        default="-",
+        help="Output JSON file path (default: stdout)",
+    )
+    return parser.parse_args(argv)
+
+
+def main(argv: list[str] | None = None) -> int:
+    args = parse_args(argv)
+    if not args.database_uri:
+        print(
+            "error: --database-uri or DATABASE_URI is required",
+            file=sys.stderr,
+        )
+        return 2
+
+    thread_id = str(uuid.UUID(args.thread_id))
+    channels = list(dict.fromkeys(args.channels))
+
+    with psycopg.connect(args.database_uri) as conn:
+        target_checkpoint_id = resolve_target_checkpoint_id(
+            conn,
+            thread_id,
+            args.checkpoint_ns,
+            args.checkpoint_id,
+        )
+        parent_checkpoint_id, channel_data = walk_parent_chain(
+            conn,
+            thread_id=thread_id,
+            checkpoint_ns=args.checkpoint_ns,
+            target_checkpoint_id=target_checkpoint_id,
+            channels=channels,
+        )
+
+    output = build_output(
+        thread_id=thread_id,
+        checkpoint_ns=args.checkpoint_ns,
+        target_checkpoint_id=target_checkpoint_id,
+        parent_checkpoint_id=parent_checkpoint_id,
+        channels=channel_data,
+    )
+    payload = json.dumps(output, indent=2, default=json_default)
+
+    if args.output == "-":
+        print(payload)
+    else:
+        with open(args.output, "w", encoding="utf-8") as f:
+            f.write(payload)
+            f.write("\n")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
@@ -1,15 +1,27 @@
-# langgraph-checkpoint-conformance
+# LangGraph Checkpoint Conformance

-Conformance test suite for [LangGraph](https://github.com/langchain-ai/langgraph) checkpointer implementations.
+[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint-conformance?label=%20)](https://pypi.org/project/langgraph-checkpoint-conformance/#history)
+[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint-conformance)](https://opensource.org/licenses/MIT)
+[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint-conformance)](https://pypistats.org/packages/langgraph-checkpoint-conformance)
+[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)

-Validates that a `BaseCheckpointSaver` subclass correctly implements the checkpoint storage contract — blob round-trips, metadata preservation, namespace isolation, incremental channel updates, and more.
+To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
+[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.

-## Installation
+## Quick Install

 ```bash
-pip install langgraph-checkpoint-conformance
+uv add langgraph-checkpoint-conformance
 ```

+## 🤔 What is this?
+
+This library provides a conformance test suite for [LangGraph](https://github.com/langchain-ai/langgraph) checkpointer implementations. It validates that a `BaseCheckpointSaver` subclass correctly implements the checkpoint storage contract — blob round-trips, metadata preservation, namespace isolation, incremental channel updates, and more.
+
+## 📖 Documentation
+
+For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph/). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
+
 ## Quick start

 Register your checkpointer with `@checkpointer_test` and run `validate()`:
@@ -110,3 +122,13 @@ async def pg_checkpointer():
    async with PostgresSaver.from_conn_string(CONN_STRING) as saver:
        yield saver
 ```
+
+## 📕 Releases & Versioning
+
+See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
+
+## 💁 Contributing
+
+As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
+
+For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
@@ -54,6 +54,12 @@ async def build_delta_chain(
    stored: list[RunnableConfig] = []
    parent_cfg: RunnableConfig | None = None

+    # Track supersteps since the channel's last snapshot, mirroring Pregel's
+    # `counters_since_delta_snapshot` bookkeeping: every step increments the
+    # counter; a snapshot step resets it (and carries no counter entry, so
+    # the walk locates the seed exactly `supersteps` hops back).
+    supersteps_since_snapshot = 0
+
    for step in range(total_steps):
        config: RunnableConfig = {
            "configurable": {
@@ -68,11 +74,19 @@ async def build_delta_chain(

        channel_values: dict[str, Any] = {}
        channel_versions: dict[str, int] = {}
+        supersteps_since_snapshot += 1
+        counters: dict[str, tuple[int, int]] = {}
        if step in snapshot_set:
            channel_values[channel] = _DeltaSnapshot(
                write_value_fn(step),
            )
            channel_versions[channel] = step + 1
+            supersteps_since_snapshot = 0
+        else:
+            counters[channel] = (
+                supersteps_since_snapshot,
+                supersteps_since_snapshot,
+            )

        cp = Checkpoint(
            v=1,
@@ -84,9 +98,10 @@ async def build_delta_chain(
            updated_channels=None,
        )
        new_versions = dict(channel_versions)
-        parent_cfg = await saver.aput(
-            config, cp, generate_metadata(step=step), new_versions
-        )
+        md = generate_metadata(step=step)
+        if counters:
+            md["counters_since_delta_snapshot"] = counters
+        parent_cfg = await saver.aput(config, cp, md, new_versions)
        stored.append(parent_cfg)

        # Write a pending write for non-snapshot steps so the walk has
@@ -87,6 +87,10 @@ async def test_history_multi_channel(

    from langgraph.checkpoint.conformance.test_utils import generate_metadata

+    # Per-channel supersteps since last snapshot ("a" snapshots at step 1,
+    # "b" at step 3). Drives the per-channel walk depth from the head.
+    s_a = 0
+    s_b = 0
    for step in range(5):
        config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
        if parent_cfg:
@@ -95,12 +99,21 @@ async def test_history_multi_channel(
            ]
        cv: dict = {}
        cvs: dict = {}
+        s_a += 1
+        s_b += 1
+        counters: dict = {}
        if step == 1:
            cv["a"] = _DeltaSnapshot("snap_a")
            cvs["a"] = step + 1
+            s_a = 0
+        else:
+            counters["a"] = (s_a, s_a)
        if step == 3:
            cv["b"] = _DeltaSnapshot("snap_b")
            cvs["b"] = step + 1
+            s_b = 0
+        else:
+            counters["b"] = (s_b, s_b)
        cp = Checkpoint(
            v=1,
            id=str(uuid6(clock_seq=-1)),
@@ -110,7 +123,10 @@ async def test_history_multi_channel(
            versions_seen={},
            updated_channels=None,
        )
-        parent_cfg = await saver.aput(config, cp, generate_metadata(step=step), cvs)
+        md = generate_metadata(step=step)
+        if counters:
+            md["counters_since_delta_snapshot"] = counters
+        parent_cfg = await saver.aput(config, cp, md, cvs)
        configs.append(parent_cfg)
        await saver.aput_writes(parent_cfg, [("a", step), ("b", step)], str(uuid4()))

@@ -148,7 +164,12 @@ async def test_history_walk_to_root_no_seed(
    )
    head = configs[-1]
    result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
+    # The head's supersteps counter (4) runs one hop past the real root —
+    # the snapshot checkpoint was never persisted (implicit empty baseline).
+    # No seed, and the full chain (steps 0..2) replays from empty.
    assert "seed" not in result["ch"], f"Expected no seed, got {result['ch']}"
+    values = [w[2] for w in result["ch"]["writes"]]
+    assert values == [0, 1, 2], f"Expected full-chain writes [0,1,2], got {values}"


 async def test_history_migration_plain_value_as_seed(
@@ -170,6 +191,10 @@ async def test_history_migration_plain_value_as_seed(
    configs: list = []
    parent_cfg = None

+    # The channel was a non-delta channel through step 1 (plain value, no
+    # delta counter), then migrated to DeltaChannel at step 2. Supersteps
+    # count from the migration boundary: step 2 -> 1, step 3 -> 2, so the
+    # head (step 3) walks 2 hops back to the plain-value seed at step 1.
    for step in range(4):
        config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
        if parent_cfg:
@@ -182,6 +207,9 @@ async def test_history_migration_plain_value_as_seed(
        if step == 1:
            cv["ch"] = [10, 20, 30]
            cvs["ch"] = step + 1
+        md = generate_metadata(step=step)
+        if step >= 2:
+            md["counters_since_delta_snapshot"] = {"ch": (step - 1, step - 1)}
        cp = Checkpoint(
            v=1,
            id=str(uuid6(clock_seq=-1)),
@@ -191,7 +219,7 @@ async def test_history_migration_plain_value_as_seed(
            versions_seen={},
            updated_channels=None,
        )
-        parent_cfg = await saver.aput(config, cp, generate_metadata(step=step), cvs)
+        parent_cfg = await saver.aput(config, cp, md, cvs)
        configs.append(parent_cfg)
        if step != 1:
            await saver.aput_writes(parent_cfg, [("ch", step)], str(uuid4()))
@@ -208,6 +236,67 @@ async def test_history_migration_plain_value_as_seed(
    assert values == [2], f"Expected [2], got {values}"


+async def test_history_migration_skips_seed_checkpoint_writes(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """A migrated plain-value seed already incorporates its own checkpoint's
+    writes, so those writes must NOT be re-emitted in the history.
+
+    This is the discriminating case for non-additive reducers (e.g. an
+    even-only filter): re-applying the seed checkpoint's writes on top of
+    the seed would corrupt the reconstructed value. The saver contract is
+    to skip them — only writes strictly after the seed are returned.
+    """
+    from langgraph.checkpoint.base import Checkpoint
+    from langgraph.checkpoint.base.id import uuid6
+
+    from langgraph.checkpoint.conformance.test_utils import generate_metadata
+
+    tid = str(uuid4())
+    configs: list = []
+    parent_cfg = None
+
+    for step in range(4):
+        config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
+        if parent_cfg:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cv: dict = {}
+        cvs: dict = {}
+        # Step 1: pre-delta plain accumulated value AND its own writes.
+        if step == 1:
+            cv["ch"] = [2, 4]
+            cvs["ch"] = step + 1
+        md = generate_metadata(step=step)
+        if step >= 2:
+            md["counters_since_delta_snapshot"] = {"ch": (step - 1, step - 1)}
+        cp = Checkpoint(
+            v=1,
+            id=str(uuid6(clock_seq=-1)),
+            ts="",
+            channel_values=cv,
+            channel_versions=cvs,
+            versions_seen={},
+            updated_channels=None,
+        )
+        parent_cfg = await saver.aput(config, cp, md, cvs)
+        configs.append(parent_cfg)
+        # The seed checkpoint (step 1) carries writes that the plain value
+        # already subsumes; later steps carry post-migration delta writes.
+        write_value = 99 if step == 1 else step * 10
+        await saver.aput_writes(parent_cfg, [("ch", write_value)], str(uuid4()))
+
+    head = configs[-1]
+    result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
+    assert result["ch"].get("seed") == [2, 4], (
+        f"Expected plain seed [2, 4], got {result['ch'].get('seed')}"
+    )
+    values = [w[2] for w in result["ch"]["writes"]]
+    # Seed checkpoint's own write (99) is skipped; step 2's write (20) kept.
+    assert values == [20], f"Expected only post-seed writes [20], got {values}"
+
+
 ALL_DELTA_CHANNEL_HISTORY_TESTS = [
    test_history_returns_writes_oldest_first,
    test_history_seed_is_nearest_snapshot,
@@ -216,6 +305,7 @@ ALL_DELTA_CHANNEL_HISTORY_TESTS = [
    test_history_empty_channels_returns_empty,
    test_history_walk_to_root_no_seed,
    test_history_migration_plain_value_as_seed,
+    test_history_migration_skips_seed_checkpoint_writes,
 ]


@@ -370,7 +370,7 @@ test = [

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+version = "0.8.18"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -380,12 +380,13 @@ dependencies = [
    { name = "requests" },
    { name = "requests-toolbelt" },
    { name = "uuid-utils" },
+    { name = "websockets" },
    { name = "xxhash" },
    { name = "zstandard" },
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 ]

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+
 [[package]]
 name = "xxhash"
 version = "3.7.0"
@@ -1,10 +1,28 @@
 # LangGraph Checkpoint Postgres

-Implementation of LangGraph CheckpointSaver that uses Postgres.
+[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint-postgres?label=%20)](https://pypi.org/project/langgraph-checkpoint-postgres/#history)
+[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint-postgres)](https://opensource.org/licenses/MIT)
+[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint-postgres)](https://pypistats.org/packages/langgraph-checkpoint-postgres)
+[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)

-## Dependencies
+To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
+[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.

-By default `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) without any extras. However, you can choose a specific installation that best suits your needs [here](https://www.psycopg.org/psycopg3/docs/basic/install.html) (for example, `psycopg[binary]`).
+## Quick Install
+
+```bash
+uv add langgraph-checkpoint-postgres
+```
+
+## 🤔 What is this?
+
+This library provides a Postgres implementation of LangGraph's checkpoint saver. Use it when you want LangGraph state persistence backed by Postgres for durable, long-running workflows and agents.
+
+By default, `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) without any extras. You can choose a specific installation that best suits your needs in the [Psycopg installation docs](https://www.psycopg.org/psycopg3/docs/basic/install.html), for example `psycopg[binary]`.
+
+## 📖 Documentation
+
+For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.checkpoint.postgres). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).

 ## Security

@@ -20,10 +38,12 @@ By default `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) withou
 > When manually creating Postgres connections and passing them to `PostgresSaver` or `AsyncPostgresSaver`, make sure to include `autocommit=True` and `row_factory=dict_row` (`from psycopg.rows import dict_row`). See a full example in this [how-to guide](https://langchain-ai.github.io/langgraph/how-tos/persistence_postgres/).
 >
 > **Why these parameters are required:**
+>
 > - `autocommit=True`: Required for the `.setup()` method to properly commit the checkpoint tables to the database. Without this, table creation may not be persisted.
 > - `row_factory=dict_row`: Required because the PostgresSaver implementation accesses database rows using dictionary-style syntax (e.g., `row["column_name"]`). The default `tuple_row` factory returns tuples that only support index-based access (e.g., `row[0]`), which will cause `TypeError` exceptions when the checkpointer tries to access columns by name.
 >
 > **Example of incorrect usage:**
+>
 > ```python
 > # ❌ This will fail with TypeError during checkpointer operations
 > with psycopg.connect(DB_URI) as conn:  # Missing autocommit=True and row_factory=dict_row
@@ -118,3 +138,13 @@ async with AsyncPostgresSaver.from_conn_string(DB_URI) as checkpointer:
    # list checkpoints
    [c async for c in checkpointer.alist(read_config)]
 ```
+
+## 📕 Releases & Versioning
+
+See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
+
+## 💁 Contributing
+
+As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
+
+For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
@@ -14,6 +14,7 @@ from langgraph.checkpoint.base import (
    CheckpointMetadata,
    CheckpointTuple,
    DeltaChannelHistory,
+    _parse_supersteps_since_last_snapshot_by_channel,
    get_checkpoint_id,
    get_serializable_checkpoint_metadata,
 )
@@ -28,9 +29,11 @@ from langgraph.checkpoint.postgres import _internal
 from langgraph.checkpoint.postgres.base import (
    _DELTA_PAGE_SIZE,
    BasePostgresSaver,
-    _build_delta_stage1_sql,
-    _build_delta_stage2_sql,
+    _advance_shared_chain,
+    _build_delta_fetch_sql,
+    _build_delta_walk_sql,
    _DeltaStage2Row,
+    _ingest_walk_page,
 )
 from langgraph.checkpoint.postgres.shallow import ShallowPostgresSaver

@@ -446,107 +449,137 @@ class PostgresSaver(BasePostgresSaver):
    ) -> Mapping[str, DeltaChannelHistory]:
        """Fast-path override of `BaseCheckpointSaver.get_delta_channel_history`.

-        Two-stage query, both stages cover ALL requested channels:
+        Reconstructs each delta channel's state for the target checkpoint by
+        walking the parent chain `supersteps` hops (read from the target's
+        `counters_since_delta_snapshot` metadata) to its seed snapshot, then
+        collecting the writes between the seed and the target.

-        * Stage 1 (paged): dynamic SELECT over `checkpoints` with K parallel
-          JSONB key lookups (one column pair per channel) — no subquery, no
-          aggregation. Pages newest-first by `checkpoint_id` with a cursor;
-          page size is `_DELTA_PAGE_SIZE`. Stops paging when every channel
-          has found its seed or the chain is exhausted.
+        Two passes (see the `# Multi-channel two-pass` comment in `base.py`):

-        * Stage 2 (per-channel UNION ALL): one branch per channel reading
-          `checkpoint_writes` filtered to that channel's specific
-          `chain_cids`, plus one branch per channel that has a seed reading
-          `checkpoint_blobs` for that channel + version. Avoids the
-          over-fetch of a single `channel = ANY(channels)` filter when
-          channels have different chain depths.
+        * WALK (paged): dynamic SELECT over `checkpoints` with K parallel
+          JSONB lookups for `channel_versions[ch]` (the seed blob version),
+          following `parent_checkpoint_id` newest-first. Page size is
+          `_DELTA_PAGE_SIZE`; stops once the shared chain reaches the deepest
+          requested `supersteps`, the root is reached, or the chain is
+          exhausted.
+
+        * FETCH (per-channel UNION ALL): one branch per channel reading
+          `checkpoint_writes` for its `chain_cids`, plus one branch per
+          channel that located a seed reading `checkpoint_blobs` at the
+          seed's version.
        """
        if not channels:
            return {}
        channels = list(channels)
        thread_id = config["configurable"]["thread_id"]
+        if not thread_id:
+            raise ValueError("empty thread ID")
        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
-        checkpoint_id = get_checkpoint_id(config)
-        if checkpoint_id is None:
-            target = self.get_tuple(config)
-            if target is None:
-                return {ch: {"writes": []} for ch in channels}
-            checkpoint_id = target.config["configurable"]["checkpoint_id"]

-        # Stage 1: paged K-JSONB-lookup scan, walking the parent chain in
-        # Python after each page. Stops as soon as every channel has its seed.
-        stage1_sql = _build_delta_stage1_sql(channels, paged=True)
+        # Resolve the target checkpoint id + its metadata (for supersteps).
+        checkpoint_id = get_checkpoint_id(config)
+        with self._cursor() as cur:
+            if checkpoint_id is None:
+                cur.execute(
+                    "SELECT checkpoint_id, metadata FROM checkpoints "
+                    "WHERE thread_id = %s AND checkpoint_ns = %s "
+                    "ORDER BY checkpoint_id DESC LIMIT 1",
+                    (thread_id, checkpoint_ns),
+                )
+            else:
+                cur.execute(
+                    "SELECT checkpoint_id, metadata FROM checkpoints "
+                    "WHERE thread_id = %s AND checkpoint_ns = %s "
+                    "AND checkpoint_id = %s",
+                    (thread_id, checkpoint_ns, checkpoint_id),
+                )
+            target_row = cur.fetchone()
+        if target_row is None:
+            return {ch: {"writes": []} for ch in channels}
+        target_id = cast(str, target_row["checkpoint_id"])
+        supersteps_by_ch = _parse_supersteps_since_last_snapshot_by_channel(
+            target_row["metadata"] or {}, channels
+        )
+        max_supersteps = max(supersteps_by_ch.values(), default=0)
+
+        # WALK: page the parent chain, bounded by the deepest supersteps.
+        walk_sql = _build_delta_walk_sql(channels)
        parent_of: dict[str, str | None] = {}
        ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
-        hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
-        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
-        seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
-        walk_cursor_by_ch: dict[str, str | None] = {}
-        seeded: set[str] = set()
+        shared_cpid_chain: list[str] = []
+        has_reached_root = False
        cursor: str | None = None

-        with self._cursor() as cur:
-            while True:
-                stage1_params: list[Any] = []
-                for ch in channels:
-                    stage1_params.extend([ch, ch])
-                stage1_params.extend(
-                    [thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
-                )
-                cur.execute(stage1_sql, stage1_params)
+        while max_supersteps > 0:
+            walk_params: list[Any] = [
+                *channels,
+                thread_id,
+                checkpoint_ns,
+                cursor,
+                cursor,
+                _DELTA_PAGE_SIZE,
+            ]
+            with self._cursor() as cur:
+                cur.execute(walk_sql, walk_params)
                page = cur.fetchall()
-                if not page:
-                    break
-                oldest = self._ingest_stage1_page(
-                    cast("list[Mapping[str, Any]]", page),
-                    channels,
-                    parent_of,
-                    ver_by_i_by_cid,
-                    hs_by_i_by_cid,
-                )
-                self._try_advance_walks(
-                    checkpoint_id,
-                    channels,
-                    parent_of,
-                    ver_by_i_by_cid,
-                    hs_by_i_by_cid,
-                    chain_by_ch,
-                    seed_ver_by_ch,
-                    walk_cursor_by_ch,
-                    seeded,
-                )
-                # Stop if every channel is seeded, or the page was short
-                # (chain exhausted — no more rows to fetch).
-                if len(seeded) == len(channels) or len(page) < _DELTA_PAGE_SIZE:
-                    break
-                cursor = oldest
+            if not page:
+                break
+            oldest = _ingest_walk_page(
+                cast("list[Mapping[str, Any]]", page),
+                channels,
+                parent_of,
+                ver_by_i_by_cid,
+            )
+            has_reached_root = _advance_shared_chain(
+                target_id, parent_of, shared_cpid_chain, max_supersteps
+            )
+            if (
+                has_reached_root
+                or len(shared_cpid_chain) >= max_supersteps
+                or len(page) < _DELTA_PAGE_SIZE
+            ):
+                break
+            cursor = oldest

-        # Stage 2: per-channel UNION ALL — one writes branch per channel
-        # with non-empty chain, plus one blob branch per seeded channel.
-        channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
+        chained_cpid_by_ch, seed_cpid_by_ch, seed_ver_by_ch = (
+            self._resolve_delta_chains(
+                channels,
+                supersteps_by_ch,
+                shared_cpid_chain,
+                ver_by_i_by_cid,
+                has_reached_root,
+                thread_id,
+            )
+        )
+
+        # FETCH: per-channel UNION ALL — writes branch per chained channel,
+        # blob branch per seeded channel.
+        channels_with_chain = [ch for ch in channels if chained_cpid_by_ch[ch]]
        channels_with_seed = [ch for ch in channels if seed_ver_by_ch[ch] is not None]
-        stage2_sql = _build_delta_stage2_sql(
+        fetch_sql = _build_delta_fetch_sql(
            channels_with_chain=channels_with_chain,
            channels_with_seed=channels_with_seed,
        )
-
-        if stage2_sql:
-            stage2_params: list[Any] = []
+        if fetch_sql:
+            fetch_params: list[Any] = []
            for ch in channels_with_chain:
-                stage2_params.extend([thread_id, checkpoint_ns, ch, chain_by_ch[ch]])
+                fetch_params.extend(
+                    [thread_id, checkpoint_ns, ch, chained_cpid_by_ch[ch]]
+                )
            for ch in channels_with_seed:
-                stage2_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
+                fetch_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
            with self._cursor() as cur:
-                cur.execute(stage2_sql, stage2_params)
-                stage2_rows = cur.fetchall()
+                cur.execute(fetch_sql, fetch_params)
+                fetch_rows = cur.fetchall()
        else:
-            stage2_rows = []
+            fetch_rows = []

-        return self._build_delta_channels_writes_history(
+        return self._assemble_delta_history(
            channels=channels,
-            chain_by_ch=chain_by_ch,
+            chained_cpid_by_ch=chained_cpid_by_ch,
+            seed_cpid_by_ch=seed_cpid_by_ch,
            seed_ver_by_ch=seed_ver_by_ch,
-            stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
+            fetch_rows=cast("list[_DeltaStage2Row]", fetch_rows),
        )

    def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
@@ -14,6 +14,7 @@ from langgraph.checkpoint.base import (
    CheckpointMetadata,
    CheckpointTuple,
    DeltaChannelHistory,
+    _parse_supersteps_since_last_snapshot_by_channel,
    get_checkpoint_id,
    get_serializable_checkpoint_metadata,
 )
@@ -28,9 +29,11 @@ from langgraph.checkpoint.postgres import _ainternal
 from langgraph.checkpoint.postgres.base import (
    _DELTA_PAGE_SIZE,
    BasePostgresSaver,
-    _build_delta_stage1_sql,
-    _build_delta_stage2_sql,
+    _advance_shared_chain,
+    _build_delta_fetch_sql,
+    _build_delta_walk_sql,
    _DeltaStage2Row,
+    _ingest_walk_page,
 )
 from langgraph.checkpoint.postgres.shallow import AsyncShallowPostgresSaver

@@ -408,89 +411,122 @@ class AsyncPostgresSaver(BasePostgresSaver):
        """Fast-path override of `BaseCheckpointSaver.aget_delta_channel_history`.

        See `PostgresSaver.get_delta_channel_history` for design notes; this is
-        the async equivalent with internal stage-1 paging and per-channel
-        UNION ALL stage-2.
+        the async equivalent: paged supersteps-bounded WALK + per-channel
+        UNION ALL FETCH.
        """
        if not channels:
            return {}
        channels = list(channels)
        thread_id = config["configurable"]["thread_id"]
+        if not thread_id:
+            raise ValueError("empty thread ID")
        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
-        checkpoint_id = get_checkpoint_id(config)
-        if checkpoint_id is None:
-            target = await self.aget_tuple(config)
-            if target is None:
-                return {ch: {"writes": []} for ch in channels}
-            checkpoint_id = target.config["configurable"]["checkpoint_id"]

-        stage1_sql = _build_delta_stage1_sql(channels, paged=True)
+        # Resolve the target checkpoint id + its metadata (for supersteps).
+        checkpoint_id = get_checkpoint_id(config)
+        async with self._cursor() as cur:
+            if checkpoint_id is None:
+                await cur.execute(
+                    "SELECT checkpoint_id, metadata FROM checkpoints "
+                    "WHERE thread_id = %s AND checkpoint_ns = %s "
+                    "ORDER BY checkpoint_id DESC LIMIT 1",
+                    (thread_id, checkpoint_ns),
+                )
+            else:
+                await cur.execute(
+                    "SELECT checkpoint_id, metadata FROM checkpoints "
+                    "WHERE thread_id = %s AND checkpoint_ns = %s "
+                    "AND checkpoint_id = %s",
+                    (thread_id, checkpoint_ns, checkpoint_id),
+                )
+            target_row = await cur.fetchone()
+        if target_row is None:
+            return {ch: {"writes": []} for ch in channels}
+        target_id = cast(str, target_row["checkpoint_id"])
+        supersteps_by_ch = _parse_supersteps_since_last_snapshot_by_channel(
+            target_row["metadata"] or {}, channels
+        )
+        max_supersteps = max(supersteps_by_ch.values(), default=0)
+
+        # WALK: page the parent chain, bounded by the deepest supersteps.
+        walk_sql = _build_delta_walk_sql(channels)
        parent_of: dict[str, str | None] = {}
        ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
-        hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
-        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
-        seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
-        walk_cursor_by_ch: dict[str, str | None] = {}
-        seeded: set[str] = set()
+        shared_cpid_chain: list[str] = []
+        has_reached_root = False
        cursor: str | None = None

-        async with self._cursor() as cur:
-            while True:
-                stage1_params: list[Any] = []
-                for ch in channels:
-                    stage1_params.extend([ch, ch])
-                stage1_params.extend(
-                    [thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
-                )
-                await cur.execute(stage1_sql, stage1_params)
+        while max_supersteps > 0:
+            walk_params: list[Any] = [
+                *channels,
+                thread_id,
+                checkpoint_ns,
+                cursor,
+                cursor,
+                _DELTA_PAGE_SIZE,
+            ]
+            async with self._cursor() as cur:
+                await cur.execute(walk_sql, walk_params)
                page = await cur.fetchall()
-                if not page:
-                    break
-                oldest = self._ingest_stage1_page(
-                    cast("list[Mapping[str, Any]]", page),
-                    channels,
-                    parent_of,
-                    ver_by_i_by_cid,
-                    hs_by_i_by_cid,
-                )
-                self._try_advance_walks(
-                    checkpoint_id,
-                    channels,
-                    parent_of,
-                    ver_by_i_by_cid,
-                    hs_by_i_by_cid,
-                    chain_by_ch,
-                    seed_ver_by_ch,
-                    walk_cursor_by_ch,
-                    seeded,
-                )
-                if len(seeded) == len(channels) or len(page) < _DELTA_PAGE_SIZE:
-                    break
-                cursor = oldest
+            if not page:
+                break
+            oldest = _ingest_walk_page(
+                cast("list[Mapping[str, Any]]", page),
+                channels,
+                parent_of,
+                ver_by_i_by_cid,
+            )
+            has_reached_root = _advance_shared_chain(
+                target_id, parent_of, shared_cpid_chain, max_supersteps
+            )
+            if (
+                has_reached_root
+                or len(shared_cpid_chain) >= max_supersteps
+                or len(page) < _DELTA_PAGE_SIZE
+            ):
+                break
+            cursor = oldest

-        channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
+        chained_cpid_by_ch, seed_cpid_by_ch, seed_ver_by_ch = (
+            self._resolve_delta_chains(
+                channels,
+                supersteps_by_ch,
+                shared_cpid_chain,
+                ver_by_i_by_cid,
+                has_reached_root,
+                thread_id,
+            )
+        )
+
+        # FETCH: per-channel UNION ALL — writes branch per chained channel,
+        # blob branch per seeded channel.
+        channels_with_chain = [ch for ch in channels if chained_cpid_by_ch[ch]]
        channels_with_seed = [ch for ch in channels if seed_ver_by_ch[ch] is not None]
-        stage2_sql = _build_delta_stage2_sql(
+        fetch_sql = _build_delta_fetch_sql(
            channels_with_chain=channels_with_chain,
            channels_with_seed=channels_with_seed,
        )

-        if stage2_sql:
-            stage2_params: list[Any] = []
+        if fetch_sql:
+            fetch_params: list[Any] = []
            for ch in channels_with_chain:
-                stage2_params.extend([thread_id, checkpoint_ns, ch, chain_by_ch[ch]])
+                fetch_params.extend(
+                    [thread_id, checkpoint_ns, ch, chained_cpid_by_ch[ch]]
+                )
            for ch in channels_with_seed:
-                stage2_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
+                fetch_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
            async with self._cursor() as cur:
-                await cur.execute(stage2_sql, stage2_params)
-                stage2_rows = await cur.fetchall()
+                await cur.execute(fetch_sql, fetch_params)
+                fetch_rows = await cur.fetchall()
        else:
-            stage2_rows = []
+            fetch_rows = []

-        return self._build_delta_channels_writes_history(
+        return self._assemble_delta_history(
            channels=channels,
-            chain_by_ch=chain_by_ch,
+            chained_cpid_by_ch=chained_cpid_by_ch,
+            seed_cpid_by_ch=seed_cpid_by_ch,
            seed_ver_by_ch=seed_ver_by_ch,
-            stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
+            fetch_rows=cast("list[_DeltaStage2Row]", fetch_rows),
        )

    async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
@@ -1,5 +1,6 @@
 from __future__ import annotations

+import logging
 import random
 import warnings
 from collections.abc import Mapping, Sequence
@@ -15,10 +16,12 @@ from langgraph.checkpoint.base import (
    PendingWrite,
    get_checkpoint_id,
 )
-from langgraph.checkpoint.serde.types import TASKS
+from langgraph.checkpoint.serde.types import TASKS, _DeltaSnapshot
 from psycopg.types.json import Jsonb

-# Page size for stage-1 paged scan in `get_delta_channel_history`. Internal
+logger = logging.getLogger(__name__)
+
+# Page size for the paged WALK scan in `get_delta_channel_history`. Internal
 # constant — exposing this as a kwarg is left as a follow-up.
 _DELTA_PAGE_SIZE = 1024

@@ -160,7 +163,7 @@ INSERT_CHECKPOINT_WRITES_SQL = """


 class _DeltaStage2Row(TypedDict, total=False):
-    """One row from `_build_delta_stage2_sql` (a UNION ALL of writes and blobs)."""
+    """One row from `_build_delta_fetch_sql` (a UNION ALL of writes and blobs)."""

    _kind: str  # "w" or "b"
    checkpoint_id: str | None  # "w" rows only
@@ -172,42 +175,58 @@ class _DeltaStage2Row(TypedDict, total=False):
    version: str | None  # "b" rows only


-# Multi-channel two-stage DeltaChannel reconstruction.
+# Multi-channel two-pass DeltaChannel reconstruction.
 #
-# Stage 1 scans checkpoint metadata (no blob bytes) and emits one row per
-# checkpoint with K parallel JSONB key lookups (one column pair per
-# requested delta channel: ver_i / hs_i).  No subqueries, no aggregation.
-# Python walks the parent chain once across all channels.
+# A `DeltaChannel` does not store its full value at every checkpoint — it
+# stores periodic full-value *snapshots* and accumulates intermediate
+# *writes* between snapshots. To rebuild a channel's value at a target
+# checkpoint we need:
 #
-# Stage 2 fetches all writes and the seed blobs for ALL channels in a
-# single roundtrip via `channel = ANY(%s)` and chain/seed-version
-# filtering.
+#   - the **seed** — the most recent snapshot at-or-before the target
+#     (a single blob row in `checkpoint_blobs`); and
+#   - the **chain writes** — every write for this channel committed
+#     between that snapshot and the target, in order
+#     (rows in `checkpoint_writes`).
 #
-# Empirical comparison vs an alternative "ship full channel_versions /
-# channel_values JSONB and let Python pick" form (1000 checkpoints,
-# 8 total channels in graph, 3 delta channels requested):
+# Two passes, in order:
 #
-#   Postgres execution:    A=0.24ms vs B=0.38ms   (both negligible)
-#   End-to-end latency:    A=6.83ms vs B=2.28ms   (B is 3.0x faster)
-#   Wire payload:          A=836KB  vs B=330KB    (61% smaller)
-#   Buffer hits:           identical (167 blocks)
+#   1. WALK — scan checkpoint metadata only (no blob bytes). For each
+#      requested channel we read `channel_versions[ch]` (the seed's blob
+#      version pointer). Then follow `parent_checkpoint_id` from the
+#      target backwards in pages of `_DELTA_PAGE_SIZE` rows.
 #
-# B (this dynamic-columns design) wins because it avoids JSONB
-# serialization on the wire and JSONB-to-dict deserialization in
-# psycopg.  Even at K=8 (8 delta channels = 16 dynamic columns), B
-# still beats A end-to-end (4.2ms vs 6.8ms).
+#      Walk depth is driven by the *supersteps since last snapshot*
+#      counter — `metadata.counters_since_delta_snapshot[ch][1]` — read
+#      from the target checkpoint. A channel's seed snapshot sits exactly
+#      `supersteps` hops back along the parent chain; walking by the
+#      counter (rather than scanning `channel_values` for the snapshot
+#      marker) is the only reliable way to locate seeds that aren't a
+#      `_DeltaSnapshot` sentinel — e.g. legacy plain-value blobs left by a
+#      thread that migrated from a non-delta channel, which `put` stores
+#      out of the inline `channel_values` map.
+#
+#   2. FETCH — given each channel's chained checkpoint ids and seed
+#      version from WALK, pull only the rows we need: writes for those
+#      exact checkpoint_ids and the seed blob at that exact version. One
+#      roundtrip, per-channel UNION ALL — no over-fetch.
+#
+# Walking the *parent chain* (not `list(before=...)`) matters: forked
+# threads have multiple branches, and only on-path ancestors contribute.


-def _build_delta_stage1_sql(channels: Sequence[str], *, paged: bool) -> str:
-    """Build stage 1 SQL with 2K parallel JSONB key lookups.
+def _build_delta_walk_sql(channels: Sequence[str]) -> str:
+    """Build the paged WALK SQL — scans checkpoint metadata only.

-    For channels=["messages", "files"] (with `paged=True`) the result is::
+    Emits one row per checkpoint with K parallel JSONB key lookups (one
+    `ver_i` column per requested channel — the channel's blob version, the
+    pointer we dereference in FETCH if this checkpoint is the seed). No
+    blob bytes; the result set fits a paged `LIMIT` cleanly.
+
+    For channels=["messages", "files"] the result is::

        SELECT checkpoint_id, parent_checkpoint_id,
               checkpoint -> 'channel_versions' ->> %s AS ver_0,
-               (checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_0,
-               checkpoint -> 'channel_versions' ->> %s AS ver_1,
-               (checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_1
+               checkpoint -> 'channel_versions' ->> %s AS ver_1
        FROM checkpoints
        WHERE thread_id = %s AND checkpoint_ns = %s
          AND (%s::text IS NULL OR checkpoint_id < %s)
@@ -215,45 +234,38 @@ def _build_delta_stage1_sql(channels: Sequence[str], *, paged: bool) -> str:
        LIMIT %s

    Channel names are passed as `%s` parameters (safe from SQL injection).
-    Only the column aliases `ver_i` / `hs_i` are interpolated into the
-    SQL string (i is bounded by len(channels) and uses safe identifiers).
+    Only the column aliases `ver_i` are interpolated into the SQL string
+    (i is bounded by len(channels) and uses safe identifiers).

-    Caller must extend params with `[ch_0, ch_0, ch_1, ch_1, ...,
-    thread_id, ns, cursor, cursor, page_size]` when `paged=True`.
-
-    When `paged=False`, the WHERE has no cursor predicate and there's no
-    LIMIT/ORDER BY — kept as a non-public helper for tests/diagnostics.
+    Caller must extend params with `[ch_0, ch_1, ..., thread_id, ns,
+    cursor, cursor, page_size]`. The `cursor` is the smallest
+    `checkpoint_id` from the previous page (or `None` on the first page);
+    `(%s::text IS NULL OR ...)` makes the first-page `WHERE` a no-op.
    """
-    cols = []
-    for i in range(len(channels)):
-        cols.append(
-            f"checkpoint -> 'channel_versions' ->> %s AS ver_{i}, "
-            f"(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_{i}"
-        )
-    sql = (
+    cols = [
+        f"checkpoint -> 'channel_versions' ->> %s AS ver_{i}"
+        for i in range(len(channels))
+    ]
+    return (
        "SELECT checkpoint_id, parent_checkpoint_id, "
        + ", ".join(cols)
        + " FROM checkpoints WHERE thread_id = %s AND checkpoint_ns = %s"
+        " AND (%s::text IS NULL OR checkpoint_id < %s)"
+        " ORDER BY checkpoint_id DESC LIMIT %s"
    )
-    if paged:
-        sql += (
-            " AND (%s::text IS NULL OR checkpoint_id < %s)"
-            " ORDER BY checkpoint_id DESC LIMIT %s"
-        )
-    return sql


-def _build_delta_stage2_sql(
+def _build_delta_fetch_sql(
    *,
    channels_with_chain: Sequence[str],
    channels_with_seed: Sequence[str],
 ) -> str:
-    """Build stage 2 SQL as a per-channel UNION ALL.
+    """Build the FETCH SQL as a per-channel UNION ALL.

    For each channel with a non-empty chain, emit one branch reading
    `checkpoint_writes` for that specific channel + chain_cids. For each
    channel with a seed_version, emit one branch reading `checkpoint_blobs`
-    for that channel + version. This avoids the over-fetch of the prior
+    for that channel + version. This avoids the over-fetch of a single
    `channel = ANY(channels) AND checkpoint_id = ANY(union)` form when
    channels have different chain depths.

@@ -269,6 +281,7 @@ def _build_delta_stage2_sql(
    """
    branches: list[str] = []
    for _ in channels_with_chain:
+        # NOTE: no ORDER BY on this branch — writes are sorted in assembly.
        branches.append(
            "SELECT 'w'::text AS _kind, "
            "checkpoint_id, channel, "
@@ -288,10 +301,59 @@ def _build_delta_stage2_sql(
    return " UNION ALL ".join(branches)


-# Stage 1 rows are dynamic-shape dicts: {checkpoint_id, parent_checkpoint_id,
-# ver_0, hs_0, ver_1, hs_1, ...}.  Walking is parameterized by the channel
-# list to map indices back to channel names — no static TypedDict here.
-# `dict[str, Any]` is the practical signature.
+def _ingest_walk_page(
+    page_rows: Sequence[Mapping[str, Any]],
+    channels: Sequence[str],
+    parent_of: dict[str, str | None],
+    ver_by_i_by_cid: list[dict[str, str | None]],
+) -> str | None:
+    """Fold one WALK page into `parent_of` + per-channel `ver_by_cid`.
+
+    Returns the oldest checkpoint_id seen on this page (smallest, since
+    pages come back DESC). Caller uses it as the cursor for the next page
+    (`AND checkpoint_id < cursor`).
+    """
+    oldest: str | None = None
+    for r in page_rows:
+        cid = cast(str, r["checkpoint_id"])
+        parent_of[cid] = cast("str | None", r["parent_checkpoint_id"])
+        for i in range(len(channels)):
+            ver_by_i_by_cid[i][cid] = cast("str | None", r.get(f"ver_{i}"))
+        # Rows are DESC; the last one is the smallest cid in the page.
+        oldest = cid
+    return oldest
+
+
+def _advance_shared_chain(
+    target_id: str,
+    parent_of: Mapping[str, str | None],
+    shared_cpid_chain: list[str],
+    max_supersteps: int,
+) -> bool:
+    """Extend the shared parent chain as far as ingested pages allow.
+
+    The chain holds ancestors of the target, newest first: `chain[0]` is
+    the target's parent, `chain[1]` its grandparent, and so on. A single
+    chain is shared across all channels and grown to the maximum requested
+    depth; each channel later slices `chain[:supersteps]`.
+
+    Stops when:
+      - the chain reaches `max_supersteps` hops, OR
+      - the root is reached (parent is None) — returns True, OR
+      - the next ancestor's cid isn't in `parent_of` yet (waits for the
+        next page).
+
+    Returns True iff the root was reached.
+    """
+    while len(shared_cpid_chain) < max_supersteps:
+        top_of_chain = shared_cpid_chain[-1] if shared_cpid_chain else target_id
+        if top_of_chain not in parent_of:
+            return False  # wait for the next page
+        parent = parent_of[top_of_chain]
+        if parent is None:
+            return True  # hit the root
+        shared_cpid_chain.append(parent)
+    return False


 class BasePostgresSaver(BaseCheckpointSaver[str]):
@@ -336,107 +398,92 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
            if t.decode() != "empty"
        }

-    @staticmethod
-    def _ingest_stage1_page(
-        stage1_rows: Sequence[Mapping[str, Any]],
+    def _resolve_delta_chains(
+        self,
        channels: Sequence[str],
-        parent_of: dict[str, str | None],
-        ver_by_i_by_cid: list[dict[str, str | None]],
-        hs_by_i_by_cid: list[dict[str, bool]],
-    ) -> str | None:
-        """Fold one stage-1 page into the running walk-state mappings.
-
-        Returns the oldest checkpoint_id seen on this page (smallest, since
-        pages come back DESC). Caller uses it as the cursor for the next
-        page (`AND checkpoint_id < cursor`).
-        """
-        oldest: str | None = None
-        for r in stage1_rows:
-            cid = cast(str, r["checkpoint_id"])
-            parent_of[cid] = cast("str | None", r["parent_checkpoint_id"])
-            for i in range(len(channels)):
-                ver_by_i_by_cid[i][cid] = cast("str | None", r.get(f"ver_{i}"))
-                hs_by_i_by_cid[i][cid] = bool(r.get(f"hs_{i}"))
-            # Rows are DESC; the last one is the smallest cid in the page.
-            oldest = cid
-        return oldest
-
-    @staticmethod
-    def _try_advance_walks(
-        target_id: str,
-        channels: Sequence[str],
-        parent_of: Mapping[str, str | None],
+        supersteps_by_ch: Mapping[str, int],
+        shared_cpid_chain: Sequence[str],
        ver_by_i_by_cid: Sequence[Mapping[str, str | None]],
-        hs_by_i_by_cid: Sequence[Mapping[str, bool]],
-        chain_by_ch: dict[str, list[str]],
-        seed_ver_by_ch: dict[str, str | None],
-        walk_cursor_by_ch: dict[str, str | None],
-        seeded: set[str],
-    ) -> None:
-        """Advance each not-yet-seeded channel's walk as far as possible.
+        has_reached_root: bool,
+        thread_id: str,
+    ) -> tuple[
+        dict[str, list[str]],
+        dict[str, str | None],
+        dict[str, str | None],
+    ]:
+        """Slice the shared parent chain into per-channel chain/seed mappings.

-        Uses the partial `parent_of` map accumulated so far. A walk stops
-        either because:
-          (a) it found a snapshot for its channel (channel becomes seeded),
-          (b) it reached a real root (parent_of[cid] is None — fully
-              materialized at this point), or
-          (c) the next ancestor cid isn't in `parent_of` yet (waiting for
-              a later page; the cursor stays put).
+        For each channel the seed snapshot sits `supersteps` hops back, so
+        the seed checkpoint is `shared_cpid_chain[supersteps - 1]` and the
+        chain is `shared_cpid_chain[:supersteps]` (newest first).

-        Mutates `chain_by_ch`, `seed_ver_by_ch`, `walk_cursor_by_ch`, and
-        `seeded` in place.
+        When the chain is shorter than `supersteps` but the walk reached the
+        root, the persisted chain is "compressed" relative to the logical
+        superstep count — either because intermediate supersteps were never
+        persisted (`durability="exit"`) or because the thread never produced
+        a snapshot at all. In both cases the seed candidate is the oldest
+        persisted checkpoint (`shared_cpid_chain[-1]`): FETCH loads its blob,
+        and assembly keeps it only if non-empty (a real snapshot or migrated
+        value) — otherwise it omits `seed` and replays the full chain on an
+        empty baseline.
        """
+        chained_cpid_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
+        seed_cpid_by_ch: dict[str, str | None] = {ch: None for ch in channels}
+        seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
        for i, ch in enumerate(channels):
-            if ch in seeded:
+            bound = supersteps_by_ch.get(ch, 0)
+            if bound <= 0:
                continue
-            # First-time entry: cursor starts at the target's parent.
-            if ch not in walk_cursor_by_ch:
-                walk_cursor_by_ch[ch] = parent_of.get(target_id)
-            cur_cid = walk_cursor_by_ch[ch]
-            ch_chain = chain_by_ch[ch]
-            hs_i = hs_by_i_by_cid[i]
-            ver_i = ver_by_i_by_cid[i]
-            while cur_cid is not None:
-                if cur_cid not in parent_of:
-                    # Need more pages to continue this walk.
-                    break
-                ch_chain.append(cur_cid)
-                if hs_i.get(cur_cid, False):
-                    seed_ver_by_ch[ch] = ver_i.get(cur_cid)
-                    seeded.add(ch)
-                    cur_cid = None
-                    break
-                cur_cid = parent_of[cur_cid]
-            walk_cursor_by_ch[ch] = cur_cid
+            if len(shared_cpid_chain) >= bound:
+                seed_depth = bound
+            elif has_reached_root:
+                seed_depth = len(shared_cpid_chain)
+            else:
+                logger.warning(
+                    "cannot find seed snapshot for delta channel "
+                    "(thread_id=%s, channel=%s)",
+                    thread_id,
+                    ch,
+                )
+                continue
+            if seed_depth <= 0:
+                continue
+            chained_cpid_by_ch[ch] = list(shared_cpid_chain[:seed_depth])
+            seed_cpid_by_ch[ch] = shared_cpid_chain[seed_depth - 1]
+            seed_ver_by_ch[ch] = ver_by_i_by_cid[i].get(seed_cpid_by_ch[ch])
+        return chained_cpid_by_ch, seed_cpid_by_ch, seed_ver_by_ch

-    def _build_delta_channels_writes_history(
+    def _assemble_delta_history(
        self,
        *,
        channels: Sequence[str],
-        chain_by_ch: Mapping[str, list[str]],
+        chained_cpid_by_ch: Mapping[str, Sequence[str]],
+        seed_cpid_by_ch: Mapping[str, str | None],
        seed_ver_by_ch: Mapping[str, str | None],
-        stage2_rows: Sequence[_DeltaStage2Row],
+        fetch_rows: Sequence[_DeltaStage2Row],
    ) -> dict[str, DeltaChannelHistory]:
-        """Demux stage 2 rows per channel; produce per-channel histories.
+        """Demux FETCH rows per channel and produce per-channel histories.

-        stage2_rows carry `channel` on every row. We build per-channel
-        `writes_by_cid` and per-channel `seed_blob` dicts, then assemble
-        a `DeltaChannelHistory` per requested channel. The `seed` key is omitted
-        when the walk reached root with no snapshot found, or when the
-        seed blob is sentinel "empty" — in both cases the consumer treats
-        absence as "start empty".
+        `fetch_rows` carry `channel` on every row. Write rows (`_kind = 'w'`)
+        are bucketed per channel per checkpoint; seed-blob rows
+        (`_kind = 'b'`) give each channel its snapshot value.
+
+        The seed checkpoint's own writes are replayed on top of a
+        `_DeltaSnapshot` seed (the snapshot is the value *prior* to its own
+        writes), but skipped for a migrated plain-value seed (a legacy
+        non-delta blob already incorporates those writes). The `seed` key is
+        omitted when no seed was located or the blob is the "empty"
+        tombstone — the consumer treats absence as "start empty".
        """
        # writes_by_ch_by_cid[channel][cid] = list of (type, blob, task_id, idx)
        writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
            ch: {} for ch in channels
        }
-        # seed_blob_by_ver[(channel, version)] = (type, blob)
-        seed_blob_by_ver: dict[tuple[str, str], tuple[str, bytes]] = {}
+        seed_blob_by_ch: dict[str, tuple[str, bytes]] = {}

-        for r in stage2_rows:
+        for r in fetch_rows:
            ch = cast(str, r["channel"])
-            kind = r["_kind"]
-            if kind == "w":
+            if r["_kind"] == "w":
                cid = cast(str, r["checkpoint_id"])
                writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
                    cast(
@@ -444,35 +491,39 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
                        (r["type"], r["blob"], r["task_id"], r["idx"]),
                    )
                )
-            else:  # kind == "b"
-                ver = cast(str, r["version"])
-                seed_blob_by_ver[(ch, ver)] = cast(
-                    "tuple[str, bytes]", (r["type"], r["blob"])
-                )
+            else:  # _kind == "b" — the seed blob for this channel.
+                seed_blob_by_ch[ch] = cast("tuple[str, bytes]", (r["type"], r["blob"]))

-        # Sort writes per (channel, cid) newest-first by (task_id, idx)
+        # Within a checkpoint, writes apply oldest→newest by (task_id, idx).
        for cid_map in writes_by_ch_by_cid.values():
            for ws in cid_map.values():
-                ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
+                ws.sort(key=lambda w: (w[2], w[3]))

        result: dict[str, DeltaChannelHistory] = {}
        for ch in channels:
-            chain_cids = chain_by_ch.get(ch, [])
-            seed_version = seed_ver_by_ch.get(ch)
+            entry: DeltaChannelHistory = {"writes": []}
+
+            skip_seed_checkpoint_writes = False
+            seed_blob = seed_blob_by_ch.get(ch)
+            if seed_blob is not None and seed_blob[0] != "empty":
+                seed_value = self.serde.loads_typed(seed_blob)
+                entry["seed"] = seed_value
+                # A migrated (non-delta) seed already includes the writes on
+                # its own checkpoint; a `_DeltaSnapshot` does not.
+                skip_seed_checkpoint_writes = not isinstance(seed_value, _DeltaSnapshot)

-            collected: list[PendingWrite] = []
            cid_writes = writes_by_ch_by_cid.get(ch, {})
-            for cid in chain_cids:
-                for type_tag, write_blob, task_id, _idx in cid_writes.get(cid, []):
-                    val = self.serde.loads_typed((type_tag, write_blob))
-                    collected.append((task_id, ch, val))
-            collected.reverse()
-
-            entry: DeltaChannelHistory = {"writes": collected}
-            if seed_version is not None:
-                blob = seed_blob_by_ver.get((ch, seed_version))
-                if blob is not None and blob[0] != "empty":
-                    entry["seed"] = self.serde.loads_typed(blob)
+            if cid_writes:
+                collected: list[PendingWrite] = []
+                seed_cpid = seed_cpid_by_ch.get(ch)
+                # Chain is newest→oldest; replay oldest→newest.
+                for cid in reversed(chained_cpid_by_ch.get(ch, [])):
+                    if skip_seed_checkpoint_writes and cid == seed_cpid:
+                        continue
+                    for type_tag, write_blob, task_id, _idx in cid_writes.get(cid, []):
+                        val = self.serde.loads_typed((type_tag, write_blob))
+                        collected.append((task_id, ch, val))
+                entry["writes"] = collected
            result[ch] = entry
        return result

@@ -399,7 +399,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.8.0"
+version = "0.8.18"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -409,12 +409,13 @@ dependencies = [
    { name = "requests" },
    { name = "requests-toolbelt" },
    { name = "uuid-utils" },
+    { name = "websockets" },
    { name = "xxhash" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a8/64/95f1f013531395f4e8ed73caeee780f65c7c58fe028cb543f8937b45611b/langsmith-0.8.0.tar.gz", hash = "sha256:59fe5b2a56bbbe14a08aa76691f84b49e8675dd21e11b57d80c6db8c08bac2e3", size = 4432996, upload-time = "2026-04-30T22:13:07.341Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/9a/d9/a6681aa9847bbbc5ec21abe20a5e233b94e5edcfe39624db607ac7e8ccb4/langsmith-0.8.18.tar.gz", hash = "sha256:32dde9c0e67e053e0fb738921fc8ced768af7b8fa83d7a0e3fd63597cf8776dd", size = 4526988, upload-time = "2026-06-19T13:12:17.123Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/03/70/0e0cc80a3b064c8d6c8d697c3125ed86e39d5a7393ec6dc8b07cb1cf13c4/langsmith-0.8.18-py3-none-any.whl", hash = "sha256:3940183349993faef48e6c7d08e4822ee9cefd906b362d0e3c2d650314d2f282", size = 508108, upload-time = "2026-06-19T13:12:15.348Z" },
 ]

 [[package]]
@@ -1167,6 +1168,74 @@ wheels = [
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 ]

+[[package]]
+name = "websockets"
+version = "16.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/04/24/4b2031d72e840ce4c1ccb255f693b15c334757fc50023e4db9537080b8c4/websockets-16.0.tar.gz", hash = "sha256:5f6261a5e56e8d5c42a4497b364ea24d94d9563e8fbd44e78ac40879c60179b5", size = 179346, upload-time = "2026-01-10T09:23:47.181Z" }
+wheels = [
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+
 [[package]]
 name = "xxhash"
 version = "3.6.0"
@@ -1,6 +1,26 @@
 # LangGraph SQLite Checkpoint

-Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`)
+[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint-sqlite?label=%20)](https://pypi.org/project/langgraph-checkpoint-sqlite/#history)
+[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint-sqlite)](https://opensource.org/licenses/MIT)
+[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint-sqlite)](https://pypistats.org/packages/langgraph-checkpoint-sqlite)
+[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
+
+To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
+[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
+
+## Quick Install
+
+```bash
+uv add langgraph-checkpoint-sqlite
+```
+
+## 🤔 What is this?
+
+This library provides a SQLite implementation of LangGraph's checkpoint saver, with both sync and async support via `aiosqlite`. Use it when you want LangGraph state persistence backed by SQLite for local development, testing, or lightweight deployments.
+
+## 📖 Documentation
+
+For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.checkpoint.sqlite). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).

 ## Security

@@ -91,3 +111,13 @@ async with AsyncSqliteSaver.from_conn_string(":memory:") as checkpointer:
    # list checkpoints
    [c async for c in checkpointer.alist(read_config)]
 ```
+
+## 📕 Releases & Versioning
+
+See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
+
+## 💁 Contributing
+
+As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
+
+For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
@@ -24,10 +24,12 @@ from langgraph.checkpoint.base import (
 from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer

 from langgraph.checkpoint.sqlite._delta import (
-    DELTA_STAGE1_SQL,
+    DELTA_WALK_SQL,
    build_delta_channels_writes_history,
-    build_delta_stage2_sql,
-    step_walk_with_row,
+    build_delta_writes_fetch_sql,
+    parse_supersteps_since_last_snapshot_by_channel,
+    resolve_delta_chains,
+    step_walk_supersteps,
 )
 from langgraph.checkpoint.sqlite.utils import search_where

@@ -505,68 +507,106 @@ class SqliteSaver(BaseCheckpointSaver[str]):
    ) -> Mapping[str, DeltaChannelHistory]:
        """Fast-path override of `BaseCheckpointSaver.get_delta_channel_history`.

-        Two-stage query:
+        Walks the parent chain `supersteps` hops (read from the target's
+        `counters_since_delta_snapshot` metadata) to each channel's seed
+        snapshot, then collects the writes between the seed and the target.

-        * Stage 1 (paged): newest-first slice of `checkpoints` returning
+        * WALK: stream a newest-first slice of `checkpoints` returning
          `(checkpoint_id, parent_checkpoint_id, type, checkpoint)` per
-          ancestor. Sqlite has no JSONB, so we ship the full serialized
-          checkpoint blob and inspect `channel_values` in Python. Pages
-          newest-first by `checkpoint_id` with a `< cursor` predicate;
-          page size is `DELTA_PAGE_SIZE`. Stops paging when every channel
-          has found its seed or the chain is exhausted.
+          ancestor. Sqlite has no JSONB, so we deserialize only the seed
+          checkpoints to read their inline `channel_values`. Stops once the
+          shared chain reaches the deepest requested `supersteps` or the
+          root is reached.

-        * Stage 2 (per-channel UNION ALL): one branch per channel reading
-          `writes` filtered to that channel's specific `chain_cids`. No
-          separate seed-blob fetch — sqlite stores `channel_values` inline
-          in the checkpoint blob, so seeds come back from stage 1.
+        * FETCH (per-channel UNION ALL): one branch per channel reading
+          `writes` filtered to that channel's `chain_cids`. No separate
+          seed-blob fetch — sqlite stores `channel_values` inline.
        """
        if not channels:
            return {}
        channels = list(channels)
        thread_id = str(config["configurable"]["thread_id"])
+        if not thread_id:
+            raise ValueError("empty thread ID")
        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
-        checkpoint_id = get_checkpoint_id(config)
-        if checkpoint_id is None:
-            target = self.get_tuple(config)
-            if target is None:
-                return {ch: {"writes": []} for ch in channels}
-            checkpoint_id = target.config["configurable"]["checkpoint_id"]

-        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
-        seed_val_by_ch: dict[str, Any] = {}
+        # Resolve the target checkpoint id + its metadata (for supersteps).
+        checkpoint_id = get_checkpoint_id(config)
+        with self.cursor(transaction=False) as cur:
+            if checkpoint_id is None:
+                cur.execute(
+                    "SELECT checkpoint_id, metadata FROM checkpoints "
+                    "WHERE thread_id = ? AND checkpoint_ns = ? "
+                    "ORDER BY checkpoint_id DESC LIMIT 1",
+                    (thread_id, checkpoint_ns),
+                )
+            else:
+                cur.execute(
+                    "SELECT checkpoint_id, metadata FROM checkpoints "
+                    "WHERE thread_id = ? AND checkpoint_ns = ? "
+                    "AND checkpoint_id = ?",
+                    (thread_id, checkpoint_ns, checkpoint_id),
+                )
+            target_row = cur.fetchone()
+        if target_row is None:
+            return {ch: {"writes": []} for ch in channels}
+        target_id = str(target_row[0])
+        metadata = json.loads(target_row[1]) if target_row[1] is not None else {}
+        supersteps_by_ch = parse_supersteps_since_last_snapshot_by_channel(
+            metadata, channels
+        )
+        max_supersteps = max(supersteps_by_ch.values(), default=0)
+        needed_depths = set(supersteps_by_ch.values())
+
+        shared_cpid_chain: list[str] = []
        walk_state: dict[str, Any] = {}
-        seeded: set[str] = set()
+        seed_values_by_depth: dict[int, dict[str, Any]] = {}

        with self.cursor(transaction=False) as cur:
-            cur.execute(DELTA_STAGE1_SQL, (thread_id, checkpoint_ns, checkpoint_id))
-            for row in cur:
-                cid, parent_cid, type_tag, blob = row
-                if step_walk_with_row(
-                    cid=cid,
-                    parent_cid=parent_cid,
-                    type_tag=type_tag,
-                    blob=blob,
-                    target_id=checkpoint_id,
-                    serde=self.serde,
-                    chain_by_ch=chain_by_ch,
-                    seed_val_by_ch=seed_val_by_ch,
-                    walk_state=walk_state,
-                    seeded=seeded,
-                    channels=channels,
-                ):
-                    break
+            if max_supersteps > 0:
+                cur.execute(DELTA_WALK_SQL, (thread_id, checkpoint_ns, target_id))
+                for row in cur:
+                    cid, parent_cid, type_tag, blob = row
+                    if step_walk_supersteps(
+                        cid=cid,
+                        parent_cid=parent_cid,
+                        type_tag=type_tag,
+                        blob=blob,
+                        target_id=target_id,
+                        serde=self.serde,
+                        shared_cpid_chain=shared_cpid_chain,
+                        walk_state=walk_state,
+                        max_supersteps=max_supersteps,
+                        needed_depths=needed_depths,
+                        seed_values_by_depth=seed_values_by_depth,
+                        channels=channels,
+                    ):
+                        break

-            channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
-            stage2_sql = build_delta_stage2_sql(
-                chain_lens=[len(chain_by_ch[ch]) for ch in channels_with_chain],
+            (
+                chained_cpid_by_ch,
+                seed_cpid_by_ch,
+                seed_value_by_ch,
+            ) = resolve_delta_chains(
+                channels=channels,
+                supersteps_by_ch=supersteps_by_ch,
+                shared_cpid_chain=shared_cpid_chain,
+                seed_values_by_depth=seed_values_by_depth,
+                has_reached_root=bool(walk_state.get("reached_root")),
+                thread_id=thread_id,
            )
-            if stage2_sql:
-                stage2_params: list[Any] = []
+
+            channels_with_chain = [ch for ch in channels if chained_cpid_by_ch[ch]]
+            fetch_sql = build_delta_writes_fetch_sql(
+                chain_lens=[len(chained_cpid_by_ch[ch]) for ch in channels_with_chain],
+            )
+            if fetch_sql:
+                fetch_params: list[Any] = []
                for ch in channels_with_chain:
-                    stage2_params.extend(
-                        [thread_id, checkpoint_ns, ch, *chain_by_ch[ch]]
+                    fetch_params.extend(
+                        [thread_id, checkpoint_ns, ch, *chained_cpid_by_ch[ch]]
                    )
-                cur.execute(stage2_sql, stage2_params)
+                cur.execute(fetch_sql, fetch_params)
                stage2_rows = cast(
                    "list[tuple[str, str, str, int, str, bytes]]", cur.fetchall()
                )
@@ -575,9 +615,9 @@ class SqliteSaver(BaseCheckpointSaver[str]):

        return build_delta_channels_writes_history(
            channels=channels,
-            chain_by_ch=chain_by_ch,
-            seed_val_by_ch=seed_val_by_ch,
-            seeded=seeded,
+            chained_cpid_by_ch=chained_cpid_by_ch,
+            seed_cpid_by_ch=seed_cpid_by_ch,
+            seed_value_by_ch=seed_value_by_ch,
            stage2_rows=stage2_rows,
            serde=self.serde,
        )
@@ -1,37 +1,50 @@
 """Shared helpers for `get_delta_channel_history` on sqlite savers.

-Mirrors the two-stage shape of `BasePostgresSaver` (ancestor walk +
-per-channel UNION ALL writes fetch), but adapted for sqlite's
-constraints. The structural differences:
+Mirrors the supersteps-based two-pass shape of `BasePostgresSaver`
+(ancestor walk bounded by `counters_since_delta_snapshot` + per-channel
+UNION ALL writes fetch), adapted for sqlite's constraints:

 * No JSONB — to inspect `channel_values` for a checkpoint we must
-  deserialize the full blob. Stage 1 streams the cursor row-by-row and
-  deserializes only the rows the merged walk visits, freeing each blob
-  before advancing.
+  deserialize the full blob. The WALK streams the cursor row-by-row and
+  deserializes only the seed checkpoints (the ones at a channel's
+  `supersteps` depth), freeing each blob before advancing.
 * No separate blob table — `channel_values` lives inline in the
-  checkpoint, so seeds come back from stage 1 with no second fetch.
-* Single merged walk (not K independent walks): each visited cid is
-  deserialized exactly once, regardless of how many channels are still
-  seeking their seed.
+  checkpoint, so seeds come back from the WALK with no second fetch.
+* Single shared parent-chain walk: each requested channel slices the
+  same chain to its own `supersteps` depth.

-The streaming design keeps peak in-flight memory at roughly one
-deserialized checkpoint at a time, instead of holding the entire
-ancestor chain's worth of raw blobs as a `fetchall()`-materialized list.
+Walk depth is driven by the *supersteps since last snapshot* counter,
+not by scanning `channel_values` for the snapshot marker — the only
+reliable way to locate seeds that aren't a `_DeltaSnapshot` sentinel
+(e.g. legacy plain-value blobs from a thread migrated off a non-delta
+channel).
 """

 from __future__ import annotations

+import logging
 from collections.abc import Mapping, Sequence
 from typing import Any

-from langgraph.checkpoint.base import DeltaChannelHistory, PendingWrite
+from langgraph.checkpoint.base import (
+    DeltaChannelHistory,
+    PendingWrite,
+    _parse_supersteps_since_last_snapshot_by_channel,
+)
+from langgraph.checkpoint.serde.types import _DeltaSnapshot

-# Stage 1 streams ancestors of `target_cid` newest-first. The `<=`
+logger = logging.getLogger(__name__)
+
+# Re-exported under the package-local name used by the sqlite savers.
+parse_supersteps_since_last_snapshot_by_channel = (
+    _parse_supersteps_since_last_snapshot_by_channel
+)
+
+# The WALK streams ancestors of `target_id` newest-first. The `<=`
 # predicate keeps target itself in the stream so we can read its
-# `parent_checkpoint_id` from the first row without a separate lookup;
-# the caller skips target's own writes/seed (matches the
-# `BaseCheckpointSaver` contract).
-DELTA_STAGE1_SQL = (
+# `parent_checkpoint_id` from the first matching row without a separate
+# lookup; target's own writes/seed are not part of the contract.
+DELTA_WALK_SQL = (
    "SELECT checkpoint_id, parent_checkpoint_id, type, checkpoint "
    "FROM checkpoints "
    "WHERE thread_id = ? AND checkpoint_ns = ? AND checkpoint_id <= ? "
@@ -39,12 +52,12 @@ DELTA_STAGE1_SQL = (
 )


-def build_delta_stage2_sql(*, chain_lens: Sequence[int]) -> str:
-    """Stage-2 per-channel UNION ALL fetching writes from `writes`.
+def build_delta_writes_fetch_sql(*, chain_lens: Sequence[int]) -> str:
+    """Per-channel UNION ALL fetching writes from `writes`.

    One branch per channel with a non-empty chain. Each branch inlines its
    own `IN (?, ?, ...)` placeholder list because sqlite has no array-bind
-    equivalent of postgres's `= ANY(%s)`. Caller passes parameters in
+    equivalent of postgres's `= ANY(?)`. Caller passes parameters in
    matching order: `[thread_id, checkpoint_ns, channel, *chain_cids]` per
    branch.

@@ -65,7 +78,7 @@ def build_delta_stage2_sql(*, chain_lens: Sequence[int]) -> str:
    return " UNION ALL ".join(branches)


-def step_walk_with_row(
+def step_walk_supersteps(
    *,
    cid: str,
    parent_cid: str | None,
@@ -73,75 +86,142 @@ def step_walk_with_row(
    blob: bytes,
    target_id: str,
    serde: Any,
-    chain_by_ch: dict[str, list[str]],
-    seed_val_by_ch: dict[str, Any],
+    shared_cpid_chain: list[str],
    walk_state: dict[str, Any],
-    seeded: set[str],
+    max_supersteps: int,
+    needed_depths: set[int],
+    seed_values_by_depth: dict[int, dict[str, Any]],
    channels: Sequence[str],
 ) -> bool:
-    """Process one streamed stage-1 row in the merged ancestor walk.
+    """Process one streamed WALK row, extending the shared parent chain.

-    The cursor returns (cid, parent_cid, type, blob) rows in
-    `checkpoint_id` DESC order starting at target. The first row is
-    target itself; we read its parent_cid to seed the walk and otherwise
-    skip it (target's own writes/seed are not part of the contract).
+    The cursor returns `(cid, parent_cid, type, checkpoint)` rows in
+    `checkpoint_id` DESC order starting at target. The first row is target
+    itself; we read its `parent_cid` to seed the walk and skip it (target's
+    own writes/seed are not part of the contract). Off-path rows (a sibling
+    branch on the same thread) advance the cursor without doing work.

-    For each subsequent row, if `cid` matches the walk's current
-    position, we deserialize the blob, append the cid to every
-    not-yet-seeded channel's chain, and check `channel_values` for
-    seeds. The deserialized checkpoint is dropped before advancing — no
-    cross-row cache, so peak in-flight is one deserialized checkpoint.
+    For each on-path ancestor we append its cid to `shared_cpid_chain`
+    (newest first). When the ancestor sits at a depth some channel needs as
+    its seed (`len(chain)` ∈ `needed_depths`), we deserialize it once and
+    record its `channel_values` for the requested channels. The
+    deserialized checkpoint is dropped immediately — peak in-flight is one
+    deserialized checkpoint.

-    Off-path rows (different branch on the same thread) advance the
-    cursor without doing any work.
-
-    Returns True when every requested channel is seeded — the caller
-    can stop iterating and close the cursor.
+    Sets `walk_state["reached_root"]` when an ancestor has no parent.
+    Returns True when the walk can stop: chain reached `max_supersteps`, or
+    the root was reached.
    """
    if "started" not in walk_state:
        if cid == target_id:
            walk_state["started"] = True
            walk_state["cur_cid"] = parent_cid
-            walk_state["active"] = {ch for ch in channels if ch not in seeded}
+            if parent_cid is None:
+                walk_state["reached_root"] = True
+                return True
        # Not target yet (or target not present): keep streaming.
        return False
-    active: set[str] = walk_state["active"]
-    if not active:
+    if len(shared_cpid_chain) >= max_supersteps:
        return True
    if cid != walk_state["cur_cid"]:
        # Off-path row from a sibling branch — skip without deserializing.
        return False
-    for ch in active:
-        chain_by_ch[ch].append(cid)
-    ckpt = serde.loads_typed((type_tag, blob))
-    channel_values: Mapping[str, Any] = ckpt.get("channel_values") or {}
-    for ch in [ch for ch in active if ch in channel_values]:
-        seed_val_by_ch[ch] = channel_values[ch]
-        seeded.add(ch)
-        active.discard(ch)
-    del ckpt, channel_values
+    shared_cpid_chain.append(cid)
+    depth = len(shared_cpid_chain)  # 1-indexed position along the chain
+    # Capture channel_values at any depth a channel may use as its seed: the
+    # exact `supersteps` depths, plus the root-most checkpoint (the seed
+    # candidate when the chain is shorter than `supersteps`).
+    if depth in needed_depths or parent_cid is None:
+        ckpt = serde.loads_typed((type_tag, blob))
+        channel_values: Mapping[str, Any] = ckpt.get("channel_values") or {}
+        seed_values_by_depth[depth] = {
+            ch: channel_values[ch] for ch in channels if ch in channel_values
+        }
+        del ckpt, channel_values
+    if parent_cid is None:
+        walk_state["reached_root"] = True
+        return True
    walk_state["cur_cid"] = parent_cid
-    return not active
+    return len(shared_cpid_chain) >= max_supersteps
+
+
+def resolve_delta_chains(
+    *,
+    channels: Sequence[str],
+    supersteps_by_ch: Mapping[str, int],
+    shared_cpid_chain: Sequence[str],
+    seed_values_by_depth: Mapping[int, Mapping[str, Any]],
+    has_reached_root: bool,
+    thread_id: str,
+) -> tuple[
+    dict[str, list[str]],
+    dict[str, str | None],
+    dict[str, Any],
+]:
+    """Slice the shared parent chain into per-channel chain/seed mappings.
+
+    For each channel the seed snapshot sits `supersteps` hops back: the seed
+    checkpoint is `shared_cpid_chain[supersteps - 1]` and the chain is
+    `shared_cpid_chain[:supersteps]` (newest first), with the seed's inline
+    `channel_values[ch]` captured during the walk.
+
+    When the chain is shorter than `supersteps` but the walk reached the
+    root, the persisted chain is "compressed" relative to the logical
+    superstep count (`durability="exit"`, or a thread that never
+    snapshotted). The seed candidate is then the oldest persisted checkpoint
+    (`shared_cpid_chain[-1]`); if its `channel_values[ch]` is absent the
+    channel has no seed and replays the full chain on an empty baseline.
+    """
+    chained_cpid_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
+    seed_cpid_by_ch: dict[str, str | None] = {ch: None for ch in channels}
+    seed_value_by_ch: dict[str, Any] = {}
+    for ch in channels:
+        bound = supersteps_by_ch.get(ch, 0)
+        if bound <= 0:
+            continue
+        if len(shared_cpid_chain) >= bound:
+            seed_depth = bound
+        elif has_reached_root:
+            seed_depth = len(shared_cpid_chain)
+        else:
+            logger.warning(
+                "cannot find seed snapshot for delta channel "
+                "(thread_id=%s, channel=%s)",
+                thread_id,
+                ch,
+            )
+            continue
+        if seed_depth <= 0:
+            continue
+        chained_cpid_by_ch[ch] = list(shared_cpid_chain[:seed_depth])
+        seed_cpid_by_ch[ch] = shared_cpid_chain[seed_depth - 1]
+        seed_vals = seed_values_by_depth.get(seed_depth, {})
+        if ch in seed_vals:
+            seed_value_by_ch[ch] = seed_vals[ch]
+    return chained_cpid_by_ch, seed_cpid_by_ch, seed_value_by_ch


 def build_delta_channels_writes_history(
    *,
    channels: Sequence[str],
-    chain_by_ch: Mapping[str, list[str]],
-    seed_val_by_ch: Mapping[str, Any],
-    seeded: set[str],
+    chained_cpid_by_ch: Mapping[str, Sequence[str]],
+    seed_cpid_by_ch: Mapping[str, str | None],
+    seed_value_by_ch: Mapping[str, Any],
    stage2_rows: Sequence[tuple[str, str, str, int, str, bytes]],
    serde: Any,
 ) -> dict[str, DeltaChannelHistory]:
-    """Demux stage-2 rows per channel; produce per-channel histories.
+    """Demux writes rows per channel; produce per-channel histories.

-    Stage-2 rows are `(checkpoint_id, channel, task_id, idx, type, value)`.
+    `stage2_rows` are `(checkpoint_id, channel, task_id, idx, type, value)`.
    Final write order is oldest→newest globally and `(task_id, idx)` within
    a checkpoint, matching the contract on `DeltaChannelHistory.writes`.

-    `seed` is omitted when the walk reached a true root with no snapshot
-    found (channel never entered `seeded`); consumers treat absence as
-    "start empty".
+    The seed checkpoint's own writes are replayed on top of a
+    `_DeltaSnapshot` seed (the snapshot is the value *prior* to its own
+    writes), but skipped for a migrated plain-value seed (a legacy
+    non-delta blob already incorporates those writes). `seed` is omitted
+    when no seed was located (implicit empty baseline); consumers treat
+    absence as "start empty".
    """
    writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
        ch: {} for ch in channels
@@ -156,17 +236,26 @@ def build_delta_channels_writes_history(

    result: dict[str, DeltaChannelHistory] = {}
    for ch in channels:
-        chain_cids = chain_by_ch.get(ch, [])
+        entry: DeltaChannelHistory = {"writes": []}
+
+        skip_seed_checkpoint_writes = False
+        if ch in seed_value_by_ch:
+            seed_value = seed_value_by_ch[ch]
+            entry["seed"] = seed_value
+            skip_seed_checkpoint_writes = not isinstance(seed_value, _DeltaSnapshot)
+
        cid_writes = writes_by_ch_by_cid.get(ch, {})
-        collected: list[PendingWrite] = []
-        # Chain is newest-first; iterate oldest-first for the public order.
-        for cid in reversed(chain_cids):
-            for type_tag, value_blob, task_id, _idx in cid_writes.get(cid, []):
-                collected.append(
-                    (task_id, ch, serde.loads_typed((type_tag, value_blob)))
-                )
-        entry: DeltaChannelHistory = {"writes": collected}
-        if ch in seeded:
-            entry["seed"] = seed_val_by_ch[ch]
+        if cid_writes:
+            collected: list[PendingWrite] = []
+            seed_cpid = seed_cpid_by_ch.get(ch)
+            # Chain is newest→oldest; replay oldest→newest.
+            for cid in reversed(list(chained_cpid_by_ch.get(ch, []))):
+                if skip_seed_checkpoint_writes and cid == seed_cpid:
+                    continue
+                for type_tag, value_blob, task_id, _idx in cid_writes.get(cid, []):
+                    collected.append(
+                        (task_id, ch, serde.loads_typed((type_tag, value_blob)))
+                    )
+            entry["writes"] = collected
        result[ch] = entry
    return result
@@ -25,10 +25,12 @@ from langgraph.checkpoint.base import (
 from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer

 from langgraph.checkpoint.sqlite._delta import (
-    DELTA_STAGE1_SQL,
+    DELTA_WALK_SQL,
    build_delta_channels_writes_history,
-    build_delta_stage2_sql,
-    step_walk_with_row,
+    build_delta_writes_fetch_sql,
+    parse_supersteps_since_last_snapshot_by_channel,
+    resolve_delta_chains,
+    step_walk_supersteps,
 )
 from langgraph.checkpoint.sqlite.utils import search_where

@@ -625,61 +627,98 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
        """Fast-path override of `BaseCheckpointSaver.aget_delta_channel_history`.

        See `SqliteSaver.get_delta_channel_history` for design notes; this
-        is the async equivalent using `aiosqlite` cursors. Stage 1 pages
-        the parent chain newest-first and Python-deserializes each
-        checkpoint blob to find per-channel snapshots; stage 2 fetches
-        only the relevant writes via per-channel UNION ALL.
+        is the async equivalent using `aiosqlite` cursors. The WALK streams
+        the parent chain newest-first, bounded by the target's
+        `counters_since_delta_snapshot` supersteps, and deserializes only
+        seed checkpoints; FETCH pulls the relevant writes via per-channel
+        UNION ALL.
        """
        if not channels:
            return {}
        channels = list(channels)
        await self.setup()
        thread_id = str(config["configurable"]["thread_id"])
+        if not thread_id:
+            raise ValueError("empty thread ID")
        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
-        checkpoint_id = get_checkpoint_id(config)
-        if checkpoint_id is None:
-            target = await self.aget_tuple(config)
-            if target is None:
-                return {ch: {"writes": []} for ch in channels}
-            checkpoint_id = target.config["configurable"]["checkpoint_id"]

-        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
-        seed_val_by_ch: dict[str, Any] = {}
+        # Resolve the target checkpoint id + its metadata (for supersteps).
+        checkpoint_id = get_checkpoint_id(config)
+        async with self.lock, self.conn.cursor() as cur:
+            if checkpoint_id is None:
+                await cur.execute(
+                    "SELECT checkpoint_id, metadata FROM checkpoints "
+                    "WHERE thread_id = ? AND checkpoint_ns = ? "
+                    "ORDER BY checkpoint_id DESC LIMIT 1",
+                    (thread_id, checkpoint_ns),
+                )
+            else:
+                await cur.execute(
+                    "SELECT checkpoint_id, metadata FROM checkpoints "
+                    "WHERE thread_id = ? AND checkpoint_ns = ? "
+                    "AND checkpoint_id = ?",
+                    (thread_id, checkpoint_ns, checkpoint_id),
+                )
+            target_row = await cur.fetchone()
+        if target_row is None:
+            return {ch: {"writes": []} for ch in channels}
+        target_id = str(target_row[0])
+        metadata = json.loads(target_row[1]) if target_row[1] is not None else {}
+        supersteps_by_ch = parse_supersteps_since_last_snapshot_by_channel(
+            metadata, channels
+        )
+        max_supersteps = max(supersteps_by_ch.values(), default=0)
+        needed_depths = set(supersteps_by_ch.values())
+
+        shared_cpid_chain: list[str] = []
        walk_state: dict[str, Any] = {}
-        seeded: set[str] = set()
+        seed_values_by_depth: dict[int, dict[str, Any]] = {}

        async with self.lock, self.conn.cursor() as cur:
-            await cur.execute(
-                DELTA_STAGE1_SQL, (thread_id, checkpoint_ns, checkpoint_id)
-            )
-            async for row in cur:
-                cid, parent_cid, type_tag, blob = row
-                if step_walk_with_row(
-                    cid=cid,
-                    parent_cid=parent_cid,
-                    type_tag=type_tag,
-                    blob=blob,
-                    target_id=checkpoint_id,
-                    serde=self.serde,
-                    chain_by_ch=chain_by_ch,
-                    seed_val_by_ch=seed_val_by_ch,
-                    walk_state=walk_state,
-                    seeded=seeded,
-                    channels=channels,
-                ):
-                    break
+            if max_supersteps > 0:
+                await cur.execute(DELTA_WALK_SQL, (thread_id, checkpoint_ns, target_id))
+                async for row in cur:
+                    cid, parent_cid, type_tag, blob = row
+                    if step_walk_supersteps(
+                        cid=cid,
+                        parent_cid=parent_cid,
+                        type_tag=type_tag,
+                        blob=blob,
+                        target_id=target_id,
+                        serde=self.serde,
+                        shared_cpid_chain=shared_cpid_chain,
+                        walk_state=walk_state,
+                        max_supersteps=max_supersteps,
+                        needed_depths=needed_depths,
+                        seed_values_by_depth=seed_values_by_depth,
+                        channels=channels,
+                    ):
+                        break

-            channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
-            stage2_sql = build_delta_stage2_sql(
-                chain_lens=[len(chain_by_ch[ch]) for ch in channels_with_chain],
+            (
+                chained_cpid_by_ch,
+                seed_cpid_by_ch,
+                seed_value_by_ch,
+            ) = resolve_delta_chains(
+                channels=channels,
+                supersteps_by_ch=supersteps_by_ch,
+                shared_cpid_chain=shared_cpid_chain,
+                seed_values_by_depth=seed_values_by_depth,
+                has_reached_root=bool(walk_state.get("reached_root")),
+                thread_id=thread_id,
            )
-            if stage2_sql:
-                stage2_params: list[Any] = []
+
+            channels_with_chain = [ch for ch in channels if chained_cpid_by_ch[ch]]
+            fetch_sql = build_delta_writes_fetch_sql(
+                chain_lens=[len(chained_cpid_by_ch[ch]) for ch in channels_with_chain],
+            )
+            if fetch_sql:
+                fetch_params: list[Any] = []
                for ch in channels_with_chain:
-                    stage2_params.extend(
-                        [thread_id, checkpoint_ns, ch, *chain_by_ch[ch]]
+                    fetch_params.extend(
+                        [thread_id, checkpoint_ns, ch, *chained_cpid_by_ch[ch]]
                    )
-                await cur.execute(stage2_sql, stage2_params)
+                await cur.execute(fetch_sql, fetch_params)
                stage2_rows = cast(
                    "list[tuple[str, str, str, int, str, bytes]]",
                    await cur.fetchall(),
@@ -689,9 +728,9 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):

        return build_delta_channels_writes_history(
            channels=channels,
-            chain_by_ch=chain_by_ch,
-            seed_val_by_ch=seed_val_by_ch,
-            seeded=seeded,
+            chained_cpid_by_ch=chained_cpid_by_ch,
+            seed_cpid_by_ch=seed_cpid_by_ch,
+            seed_value_by_ch=seed_value_by_ch,
            stage2_rows=stage2_rows,
            serde=self.serde,
        )
@@ -402,7 +402,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.8.0"
+version = "0.8.18"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -412,12 +412,13 @@ dependencies = [
    { name = "requests" },
    { name = "requests-toolbelt" },
    { name = "uuid-utils" },
+    { name = "websockets" },
    { name = "xxhash" },
    { name = "zstandard" },
 ]
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 [[package]]
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 ]

+[[package]]
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+version = "16.0"
+source = { registry = "https://pypi.org/simple" }
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+
 [[package]]
 name = "xxhash"
 version = "3.6.0"
@@ -1,6 +1,26 @@
 # LangGraph Checkpoint

-This library defines the base interface for LangGraph checkpointers. Checkpointers provide a persistence layer for LangGraph. They allow you to interact with and manage the graph's state. When you use a graph with a checkpointer, the checkpointer saves a _checkpoint_ of the graph state at every superstep, enabling several powerful capabilities like human-in-the-loop, "memory" between interactions and more.
+[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint?label=%20)](https://pypi.org/project/langgraph-checkpoint/#history)
+[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint)](https://opensource.org/licenses/MIT)
+[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint)](https://pypistats.org/packages/langgraph-checkpoint)
+[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
+
+To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
+[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
+
+## Quick Install
+
+```bash
+uv add langgraph-checkpoint
+```
+
+## 🤔 What is this?
+
+This library defines the base interface for LangGraph checkpointers. Checkpointers provide a persistence layer for LangGraph: they save graph state at every superstep, enabling human-in-the-loop, memory between interactions, durable execution, and more.
+
+## 📖 Documentation
+
+For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.checkpoint). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).

 ## Key concepts

@@ -24,7 +44,7 @@ You must pass these when invoking the graph as part of the configurable part of

 ### Serde

-`langgraph_checkpoint` also defines protocol for serialization/deserialization (serde) and provides an default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.
+`langgraph-checkpoint` also defines protocol for serialization/deserialization (serde) and provides a default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.

 > [!IMPORTANT]
 > **Checkpoint deserialization security:** By default the serializer allows any Python type found in checkpoint data. New applications should set the environment variable `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list to `JsonPlusSerializer` to restrict deserialization to known-safe types.
@@ -89,3 +109,13 @@ checkpointer.get(read_config)
 # list checkpoints
 list(checkpointer.list(read_config))
 ```
+
+## 📕 Releases & Versioning
+
+See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
+
+## 💁 Contributing
+
+As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
+
+For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
@@ -34,6 +34,37 @@ PendingWrite = tuple[str, str, Any]
 logger = logging.getLogger(__name__)


+def _parse_supersteps_since_last_snapshot_by_channel(
+    metadata: Mapping[str, Any],
+    channels: Sequence[str],
+) -> dict[str, int]:
+    """Per-channel supersteps-since-last-snapshot, parsed from metadata.
+
+    Reads `metadata.counters_since_delta_snapshot[ch]`, a `(updates,
+    supersteps)` pair, and returns `{ch: supersteps}` for channels whose
+    supersteps count is positive. Channels with no counter entry (just
+    snapshotted, or never written) are omitted — their seed, if any, is the
+    target checkpoint itself and needs no ancestor walk.
+
+    Used to drive the ancestor-walk depth in `get_delta_channel_history`:
+    a channel's seed snapshot sits exactly `supersteps` hops back along the
+    parent chain.
+    """
+    counters = metadata.get("counters_since_delta_snapshot") or {}
+    result: dict[str, int] = {}
+    for ch in channels:
+        entry = counters.get(ch)
+        if not isinstance(entry, (list, tuple)) or len(entry) < 2:
+            continue
+        try:
+            supersteps = int(entry[1])
+        except (TypeError, ValueError):
+            continue
+        if supersteps > 0:
+            result[ch] = supersteps
+    return result
+
+
 # Marked as total=False to allow for future expansion.
 class CheckpointMetadata(TypedDict, total=False):
    """Metadata associated with a checkpoint."""
@@ -619,34 +650,30 @@ class BaseCheckpointSaver(Generic[V]):
        """
        if not channels:
            return {}
-        collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
-        seed_by_ch: dict[str, Any] = {}
-        remaining: set[str] = set(channels)
+        channels = list(channels)
        target_tuple = self.get_tuple(config)
-        cursor_config: RunnableConfig | None = (
-            target_tuple.parent_config if target_tuple else None
+        if target_tuple is None:
+            return {ch: {"writes": []} for ch in channels}
+        supersteps_by_ch = _parse_supersteps_since_last_snapshot_by_channel(
+            target_tuple.metadata or {}, channels
        )
-        while cursor_config is not None and remaining:
+        max_supersteps = max(supersteps_by_ch.values(), default=0)
+
+        chain: list[CheckpointTuple] = []
+        has_reached_root = False
+        cursor_config: RunnableConfig | None = target_tuple.parent_config
+        while cursor_config is not None and len(chain) < max_supersteps:
            tup = self.get_tuple(cursor_config)
            if tup is None:
                break
-            if tup.pending_writes:
-                for write in reversed(tup.pending_writes):
-                    ch = write[1]
-                    if ch in remaining:
-                        collected_by_ch[ch].append(write)
-            for ch in list(remaining):
-                if ch in tup.checkpoint["channel_values"]:
-                    seed_by_ch[ch] = tup.checkpoint["channel_values"][ch]
-                    remaining.discard(ch)
+            chain.append(tup)
+            if tup.parent_config is None:
+                has_reached_root = True
+                break
            cursor_config = tup.parent_config
-        result: dict[str, DeltaChannelHistory] = {}
-        for ch in channels:
-            entry: DeltaChannelHistory = {"writes": list(reversed(collected_by_ch[ch]))}
-            if ch in seed_by_ch:
-                entry["seed"] = seed_by_ch[ch]
-            result[ch] = entry
-        return result
+        return self._assemble_default_delta_history(
+            channels, supersteps_by_ch, chain, has_reached_root, config
+        )

    async def aget_delta_channel_history(
        self, *, config: RunnableConfig, channels: Sequence[str]
@@ -660,32 +687,106 @@ class BaseCheckpointSaver(Generic[V]):
        """
        if not channels:
            return {}
-        collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
-        seed_by_ch: dict[str, Any] = {}
-        remaining: set[str] = set(channels)
+        channels = list(channels)
        target_tuple = await self.aget_tuple(config)
-        cursor_config: RunnableConfig | None = (
-            target_tuple.parent_config if target_tuple else None
+        if target_tuple is None:
+            return {ch: {"writes": []} for ch in channels}
+        supersteps_by_ch = _parse_supersteps_since_last_snapshot_by_channel(
+            target_tuple.metadata or {}, channels
        )
-        while cursor_config is not None and remaining:
+        max_supersteps = max(supersteps_by_ch.values(), default=0)
+
+        chain: list[CheckpointTuple] = []
+        has_reached_root = False
+        cursor_config: RunnableConfig | None = target_tuple.parent_config
+        while cursor_config is not None and len(chain) < max_supersteps:
            tup = await self.aget_tuple(cursor_config)
            if tup is None:
                break
-            if tup.pending_writes:
-                for write in reversed(tup.pending_writes):
-                    ch = write[1]
-                    if ch in remaining:
-                        collected_by_ch[ch].append(write)
-            for ch in list(remaining):
-                if ch in tup.checkpoint["channel_values"]:
-                    seed_by_ch[ch] = tup.checkpoint["channel_values"][ch]
-                    remaining.discard(ch)
+            chain.append(tup)
+            if tup.parent_config is None:
+                has_reached_root = True
+                break
            cursor_config = tup.parent_config
+        return self._assemble_default_delta_history(
+            channels, supersteps_by_ch, chain, has_reached_root, config
+        )
+
+    def _assemble_default_delta_history(
+        self,
+        channels: Sequence[str],
+        supersteps_by_ch: Mapping[str, int],
+        chain: Sequence[CheckpointTuple],
+        has_reached_root: bool,
+        config: RunnableConfig,
+    ) -> dict[str, DeltaChannelHistory]:
+        """Slice the walked parent chain into per-channel histories.
+
+        For each channel the seed snapshot sits `supersteps` hops back along
+        `chain` (newest first): the seed checkpoint is `chain[supersteps - 1]`
+        and its `channel_values[ch]` is the seed value. The seed checkpoint's
+        own writes are replayed on top of a `_DeltaSnapshot` seed but skipped
+        for a migrated plain-value seed (the legacy non-delta blob already
+        incorporates them).
+
+        When the chain is shorter than `supersteps` but the root was reached,
+        the persisted chain is "compressed" relative to the logical superstep
+        count (`durability="exit"`, or a thread that never snapshotted). The
+        seed candidate is then the oldest checkpoint (`chain[-1]`); if its
+        `channel_values[ch]` is absent the channel has no seed and replays
+        the full chain on an empty baseline.
+        """
+        # Imported lazily to avoid a hard checkpoint→serde-types coupling at
+        # module import; only the delta surface needs the runtime check.
+        from langgraph.checkpoint.serde.types import _DeltaSnapshot
+
+        thread_id = config["configurable"].get("thread_id")
        result: dict[str, DeltaChannelHistory] = {}
        for ch in channels:
-            entry: DeltaChannelHistory = {"writes": list(reversed(collected_by_ch[ch]))}
-            if ch in seed_by_ch:
-                entry["seed"] = seed_by_ch[ch]
+            entry: DeltaChannelHistory = {"writes": []}
+            bound = supersteps_by_ch.get(ch, 0)
+            if bound <= 0:
+                result[ch] = entry
+                continue
+            if len(chain) >= bound:
+                seed_depth = bound
+            elif has_reached_root:
+                seed_depth = len(chain)
+            else:
+                logger.warning(
+                    "cannot find seed snapshot for delta channel "
+                    "(thread_id=%s, channel=%s)",
+                    thread_id,
+                    ch,
+                )
+                result[ch] = entry
+                continue
+            if seed_depth <= 0:
+                result[ch] = entry
+                continue
+            chain_slice: Sequence[CheckpointTuple] = chain[:seed_depth]
+            seed_tuple: CheckpointTuple | None = chain[seed_depth - 1]
+
+            skip_seed_checkpoint_writes = False
+            channel_values = seed_tuple.checkpoint["channel_values"]
+            if ch in channel_values:
+                seed_value = channel_values[ch]
+                entry["seed"] = seed_value
+                skip_seed_checkpoint_writes = not isinstance(seed_value, _DeltaSnapshot)
+            else:
+                # No stored value at the oldest checkpoint → empty baseline,
+                # so the chain's own writes are all replayed from empty.
+                seed_tuple = None
+
+            collected: list[PendingWrite] = []
+            # Chain is newest→oldest; replay oldest→newest.
+            for tup in reversed(list(chain_slice)):
+                if skip_seed_checkpoint_writes and tup is seed_tuple:
+                    continue
+                for write in tup.pending_writes or []:
+                    if write[1] == ch:
+                        collected.append(write)
+            entry["writes"] = collected
            result[ch] = entry
        return result

@@ -23,6 +23,7 @@ from langgraph.checkpoint.base import (
    DeltaChannelHistory,
    PendingWrite,
    SerializerProtocol,
+    _parse_supersteps_since_last_snapshot_by_channel,
    get_checkpoint_id,
    get_checkpoint_metadata,
 )
@@ -144,14 +145,20 @@ class InMemorySaver(
    ) -> Mapping[str, DeltaChannelHistory]:
        """Override: walk the parent chain ONCE for all requested channels.

-        Each channel terminates independently at the nearest ancestor
-        whose stored blob is non-empty. Other channels keep walking until
-        they find their own terminator or hit the root.
+        Walk depth is driven by the target checkpoint's
+        `counters_since_delta_snapshot[ch]` supersteps counter: each
+        channel's seed snapshot sits exactly `supersteps` hops back along
+        the parent chain. This locates seeds reliably even when they aren't
+        a `_DeltaSnapshot` sentinel — e.g. a legacy plain-value blob from a
+        thread migrated off a non-delta channel.

-        Pre-delta plain-value blobs subsume their ancestor's pending
-        writes (the value already includes them); `_DeltaSnapshot` blobs
-        do not (snapshot is the value AT that ancestor, prior to its own
-        pending writes that produce the child).
+        Pre-delta plain-value seeds subsume their own checkpoint's pending
+        writes (the value already includes them), so those are skipped;
+        `_DeltaSnapshot` seeds do not (the snapshot is the value AT that
+        ancestor, prior to its own pending writes), so they are replayed.
+        When the chain reaches the root short of `supersteps`, the snapshot
+        was never persisted (implicit empty baseline) — replay the full
+        chain with no seed.
        """
        if not channels:
            return {}
@@ -159,72 +166,98 @@ class InMemorySaver(
        # module import; only this override needs the runtime check.
        from langgraph.checkpoint.serde.types import _DeltaSnapshot

+        channels = list(channels)
        thread_id = config["configurable"]["thread_id"]
        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
-        checkpoint_id = config["configurable"].get("checkpoint_id", "")
        ns_storage = self.storage.get(thread_id, {}).get(checkpoint_ns, {})

+        # Resolve the target checkpoint id + its metadata (for supersteps).
+        checkpoint_id = get_checkpoint_id(config)
+        if checkpoint_id is None:
+            checkpoint_id = next(reversed(ns_storage), None)
+        target_entry = ns_storage.get(checkpoint_id) if checkpoint_id else None
+        if target_entry is None:
+            return {ch: {"writes": []} for ch in channels}
+        metadata = self.serde.loads_typed(target_entry[1])
+        supersteps_by_ch = _parse_supersteps_since_last_snapshot_by_channel(
+            metadata or {}, channels
+        )
+        max_supersteps = max(supersteps_by_ch.values(), default=0)
+
+        # Walk the parent chain (newest first) up to the deepest supersteps.
        chain: list[str] = []
-        target_entry = ns_storage.get(checkpoint_id)
-        current: str | None = target_entry[2] if target_entry is not None else None
-        while current is not None:
+        has_reached_root = False
+        current: str | None = target_entry[2]
+        while current is not None and len(chain) < max_supersteps:
            entry = ns_storage.get(current)
            if entry is None:
                break
            chain.append(current)
-            _, _, parent = entry
-            current = parent
-
-        collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
-        seed_by_ch: dict[str, Any] = {}
-        remaining: set[str] = set(channels)
-
-        for cp_id in chain:
-            if not remaining:
+            parent = entry[2]
+            if parent is None:
+                has_reached_root = True
                break
-            entry = ns_storage.get(cp_id)
-            ckpt = self.serde.loads_typed(entry[0]) if entry is not None else None
-
-            terminated_here: set[str] = set()
-            blob_value_by_ch: dict[str, Any] = {}
-            if ckpt is not None:
-                versions = ckpt.get("channel_versions", {})
-                for ch in remaining:
-                    ver = versions.get(ch)
-                    if ver is None:
-                        continue
-                    blob_entry = self.blobs.get((thread_id, checkpoint_ns, ch, ver))
-                    if blob_entry is None or blob_entry[0] == "empty":
-                        continue
-                    blob_value_by_ch[ch] = self.serde.loads_typed(blob_entry)
-                    terminated_here.add(ch)
-
-            step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
-            for (_task_id, _idx), (tid, ch, serialized, _) in sorted(
-                step_writes.items(), reverse=True
-            ):
-                if ch not in remaining:
-                    continue
-                blob_value = blob_value_by_ch.get(ch)
-                if blob_value is not None and not isinstance(
-                    blob_value, _DeltaSnapshot
-                ):
-                    continue
-                collected_by_ch[ch].append(
-                    (tid, ch, self.serde.loads_typed(serialized))
-                )
-
-            for ch in terminated_here:
-                seed_by_ch[ch] = blob_value_by_ch[ch]
-                remaining.discard(ch)
+            current = parent

        result: dict[str, DeltaChannelHistory] = {}
        for ch in channels:
-            entry_h: DeltaChannelHistory = {
-                "writes": list(reversed(collected_by_ch[ch]))
-            }
-            if ch in seed_by_ch:
-                entry_h["seed"] = seed_by_ch[ch]
+            entry_h: DeltaChannelHistory = {"writes": []}
+            bound = supersteps_by_ch.get(ch, 0)
+            if bound <= 0:
+                result[ch] = entry_h
+                continue
+            if len(chain) >= bound:
+                seed_depth = bound
+            elif has_reached_root:
+                seed_depth = len(chain)
+            else:
+                logger.warning(
+                    "cannot find seed snapshot for delta channel "
+                    "(thread_id=%s, channel=%s)",
+                    thread_id,
+                    ch,
+                )
+                result[ch] = entry_h
+                continue
+            if seed_depth <= 0:
+                result[ch] = entry_h
+                continue
+            chain_slice: list[str] = chain[:seed_depth]
+            seed_cpid: str | None = chain[seed_depth - 1]
+
+            skip_seed_checkpoint_writes = False
+            seed_entry = ns_storage.get(seed_cpid)
+            if seed_entry is not None:
+                ckpt = self.serde.loads_typed(seed_entry[0])
+                ver = (ckpt.get("channel_versions") or {}).get(ch)
+                blob_entry = (
+                    self.blobs.get((thread_id, checkpoint_ns, ch, ver))
+                    if ver is not None
+                    else None
+                )
+                if blob_entry is not None and blob_entry[0] != "empty":
+                    seed_value = self.serde.loads_typed(blob_entry)
+                    entry_h["seed"] = seed_value
+                    skip_seed_checkpoint_writes = not isinstance(
+                        seed_value, _DeltaSnapshot
+                    )
+                else:
+                    # No stored value at the oldest checkpoint → empty
+                    # baseline; the chain's own writes replay from empty.
+                    seed_cpid = None
+
+            collected: list[PendingWrite] = []
+            # Chain is newest→oldest; replay oldest→newest.
+            for cp_id in reversed(chain_slice):
+                if skip_seed_checkpoint_writes and cp_id == seed_cpid:
+                    continue
+                step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
+                for (_task_id, _idx), (tid, w_ch, serialized, _) in sorted(
+                    step_writes.items()
+                ):
+                    if w_ch == ch:
+                        collected.append((tid, ch, self.serde.loads_typed(serialized)))
+            entry_h["writes"] = collected
            result[ch] = entry_h
        return result

@@ -351,9 +351,12 @@ class TestInMemorySaverDeltaChannel:
        cp1["id"] = "cp1"
        cp2 = empty_checkpoint()
        cp2["id"] = "cp2"
+        # Target (cp2) carries the supersteps counter; no snapshot was ever
+        # taken, so the walk runs back to the root → no seed, empty baseline.
+        cp2_md = {"counters_since_delta_snapshot": {channel: [1, 2]}}
        saver.storage[thread_id][ns] = {
            "cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
-            "cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
+            "cp2": (serde.dumps_typed(cp2), serde.dumps_typed(cp2_md), "cp1"),
        }
        # Writes stored at cp1 produced the cp1 snapshot; part of history.
        saver.writes[(thread_id, ns, "cp1")][("task1", 0)] = (
@@ -456,10 +459,15 @@ class TestBaseFallbackGetChannelWrites:
        cp1["id"] = "00000000000000000000000000000002.0000000000000000"
        cp2 = empty_checkpoint()
        cp2["id"] = "00000000000000000000000000000003.0000000000000000"
+        # The target (cp2) carries `counters_since_delta_snapshot` — the
+        # supersteps-since-last-snapshot driving the ancestor-walk depth. No
+        # snapshot was ever taken, so the count runs back past the oldest
+        # persisted checkpoint (root) → implicit empty baseline, no seed.
+        cp2_md = {"counters_since_delta_snapshot": {channel: [2, 3]}}
        saver.storage[thread_id][ns] = {
            cp0["id"]: (serde.dumps_typed(cp0), serde.dumps_typed({}), None),
            cp1["id"]: (serde.dumps_typed(cp1), serde.dumps_typed({}), cp0["id"]),
-            cp2["id"]: (serde.dumps_typed(cp2), serde.dumps_typed({}), cp1["id"]),
+            cp2["id"]: (serde.dumps_typed(cp2), serde.dumps_typed(cp2_md), cp1["id"]),
        }
        # Writes under cp0 produced cp1's state; writes under cp1 produced cp2's.
        saver.writes[(thread_id, ns, cp0["id"])][("task1", 0)] = (
@@ -607,10 +615,14 @@ class TestPreDeltaBlobTerminator:
        cp3["id"] = "cp3"
        cp3["channel_versions"][channel] = v3

+        # cp1 is the pre-delta (migration) seed; the channel became a
+        # DeltaChannel at cp2, so its supersteps counter starts there: cp2 -> 1,
+        # cp3 -> 2. The target (cp3) walks 2 hops back to the cp1 seed blob.
+        cp3_md = {"counters_since_delta_snapshot": {channel: [2, 2]}}
        saver.storage[thread_id][ns] = {
            "cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
            "cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
-            "cp3": (serde.dumps_typed(cp3), serde.dumps_typed({}), "cp2"),
+            "cp3": (serde.dumps_typed(cp3), serde.dumps_typed(cp3_md), "cp2"),
        }
        # Write under cp1 would be from the pre-delta era and MUST be ignored
        # (the blob already captures it). We add one and assert it is not
@@ -383,7 +383,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.8.0"
+version = "0.8.18"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -393,12 +393,13 @@ dependencies = [
    { name = "requests" },
    { name = "requests-toolbelt" },
    { name = "uuid-utils" },
+    { name = "websockets" },
    { name = "xxhash" },
    { name = "zstandard" },
 ]
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+    { url = "https://files.pythonhosted.org/packages/03/70/0e0cc80a3b064c8d6c8d697c3125ed86e39d5a7393ec6dc8b07cb1cf13c4/langsmith-0.8.18-py3-none-any.whl", hash = "sha256:3940183349993faef48e6c7d08e4822ee9cefd906b362d0e3c2d650314d2f282", size = 508108, upload-time = "2026-06-19T13:12:15.348Z" },
 ]

 [[package]]
@@ -1404,6 +1405,74 @@ wheels = [
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 ]

+[[package]]
+name = "websockets"
+version = "16.0"
+source = { registry = "https://pypi.org/simple" }
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+
 [[package]]
 name = "xxhash"
 version = "3.6.0"
@@ -1,29 +1,47 @@
 # LangGraph CLI

-The official command-line interface for LangGraph, providing tools to create, develop, and deploy LangGraph applications.
+[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-cli?label=%20)](https://pypi.org/project/langgraph-cli/#history)
+[![PyPI - License](https://img.shields.io/pypi/l/langgraph-cli)](https://opensource.org/licenses/MIT)
+[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-cli)](https://pypistats.org/packages/langgraph-cli)
+[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)

-## Installation
+To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
+[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
+
+## Quick Install

-Install via pip:
 ```bash
-pip install langgraph-cli
+uv add langgraph-cli
 ```

+## 🤔 What is this?
+
+The LangGraph CLI is the official command-line interface for LangGraph. It provides tools to create, develop, build, and run LangGraph applications locally or in Docker.
+
+## 📖 Documentation
+
+For full documentation, see the [LangGraph CLI reference](https://reference.langchain.com/python/langgraph-cli). For conceptual guides and tutorials, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
+
 For development mode with hot reloading:
+
 ```bash
-pip install "langgraph-cli[inmem]"
+uv add "langgraph-cli[inmem]"
 ```

 ## Commands

 ### `langgraph new` 🌱
-Create a new LangGraph project from a template
+
+Create a new LangGraph project from a template.
+
 ```bash
 langgraph new [PATH] --template TEMPLATE_NAME
 ```

 ### `langgraph dev` 🏃‍♀️
-Run LangGraph API server in development mode with hot reloading
+
+Run LangGraph API server in development mode with hot reloading.
+
 ```bash
 langgraph dev [OPTIONS]
  --host TEXT                 Host to bind to (default: 127.0.0.1)
@@ -35,7 +53,9 @@ langgraph dev [OPTIONS]
 ```

 ### `langgraph up` 🚀
-Launch LangGraph API server in Docker
+
+Launch LangGraph API server in Docker.
+
 ```bash
 langgraph up [OPTIONS]
  -p, --port INTEGER        Port to expose (default: 8123)
@@ -47,7 +67,9 @@ langgraph up [OPTIONS]
 ```

 ### `langgraph build`
-Build a Docker image for your LangGraph application
+
+Build a Docker image for your LangGraph application.
+
 ```bash
 langgraph build -t IMAGE_TAG [OPTIONS]
  --platform TEXT          Target platforms (e.g., linux/amd64,linux/arm64)
@@ -56,7 +78,9 @@ langgraph build -t IMAGE_TAG [OPTIONS]
 ```

 ### `langgraph dockerfile`
-Generate a Dockerfile for custom deployments
+
+Generate a Dockerfile for custom deployments.
+
 ```bash
 langgraph dockerfile SAVE_PATH [OPTIONS]
  -c, --config FILE       Config file path
@@ -68,18 +92,18 @@ The CLI uses a `langgraph.json` configuration file with these key settings:

 ```json
 {
-  "dependencies": ["langchain_openai", "./your_package"],  // Required: Package dependencies
+  "dependencies": ["langchain_openai", "./your_package"],
  "graphs": {
-    "my_graph": "./your_package/file.py:graph"            // Required: Graph definitions
+    "my_graph": "./your_package/file.py:graph"
  },
-  "env": "./.env",                                        // Optional: Environment variables
-  "python_version": "3.11",                               // Optional: Python version (3.11/3.12)
-  "pip_config_file": "./pip.conf",                        // Optional: pip configuration
-  "dockerfile_lines": []                                  // Optional: Additional Dockerfile commands
+  "env": "./.env",
+  "python_version": "3.11",
+  "pip_config_file": "./pip.conf",
+  "dockerfile_lines": []
 }
 ```

-See the [full documentation](https://langchain-ai.github.io/langgraph/cloud/reference/cli/) for detailed configuration options.
+See the [full documentation](https://reference.langchain.com/python/langgraph-cli) for detailed configuration options.

 ## Development

@@ -87,19 +111,26 @@ To develop the CLI itself:

 1. Clone the repository
 2. Navigate to the CLI directory: `cd libs/cli`
-3. Install development dependencies: `uv pip install`
+3. Install development dependencies: `uv sync`
 4. Make your changes to the CLI code
 5. Test your changes:
-   ```bash
-   # Run CLI commands directly
-   uv run langgraph --help
-   
-   # Or use the examples
-   cd examples
-   uv pip install
-   uv run langgraph dev  # or other commands
-   ```

-## License
+```bash
+# Run CLI commands directly
+uv run langgraph --help

-This project is licensed under the terms specified in the repository's LICENSE file.
+# Or use the examples
+cd examples
+uv sync
+uv run langgraph dev  # or other commands
+```
+
+## 📕 Releases & Versioning
+
+See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
+
+## 💁 Contributing
+
+As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
+
+For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
@@ -6,7 +6,7 @@ readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
  "langchain-openai==1.1.14",
-  "langchain-anthropic==1.0.0a5",
+  "langchain-anthropic==1.4.6",
  "langgraph==1.1.5"
 ]

@@ -10,7 +10,7 @@ This template demonstrates a simple chatbot implemented using [LangGraph.js](htt

 The core logic, defined in `src/agent/graph.ts`, showcases a straightforward chatbot that responds to user queries while maintaining context from previous messages.

-## What it does
+## 🤔 What is this?

 The simple chatbot:

@@ -20,6 +20,10 @@ The simple chatbot:

 This template provides a foundation that can be easily customized and extended to create more complex conversational agents.

+## 📖 Documentation
+
+For JavaScript and TypeScript documentation, see the [LangGraph.js docs](https://docs.langchain.com/oss/javascript/langgraph/overview). LangGraph Studio also integrates with [LangSmith](https://smith.langchain.com/) for tracing and collaboration with teammates.
+
 ## Getting Started

 Assuming you have already [installed LangGraph Studio](https://github.com/langchain-ai/langgraph-studio?tab=readme-ov-file#download), to set up:
@@ -2,15 +2,7 @@
 # yarn lockfile v1


-"@ampproject/remapping@^2.2.0":
-  version "2.3.0"
-  resolved "https://registry.yarnpkg.com/@ampproject/remapping/-/remapping-2.3.0.tgz#ed441b6fa600072520ce18b43d2c8cc8caecc7f4"
-  integrity sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==
-  dependencies:
-    "@jridgewell/gen-mapping" "^0.3.5"
-    "@jridgewell/trace-mapping" "^0.3.24"
-
-"@babel/code-frame@^7.0.0", "@babel/code-frame@^7.24.7":
+"@babel/code-frame@^7.0.0":
  version "7.24.7"
  resolved "https://registry.yarnpkg.com/@babel/code-frame/-/code-frame-7.24.7.tgz#882fd9e09e8ee324e496bd040401c6f046ef4465"
  integrity sha512-BcYH1CVJBO9tvyIZ2jVeXgSIMvGZ2FDRvDdOIVQyuklNKSsx+eppDEBq/g47Ayw+RqNFE+URvOShmf+f/qwAlA==
@@ -18,7 +10,7 @@
    "@babel/highlight" "^7.24.7"
    picocolors "^1.0.0"

-"@babel/code-frame@^7.27.1", "@babel/code-frame@^7.28.6", "@babel/code-frame@^7.29.0":
+"@babel/code-frame@^7.27.1":
  version "7.29.0"
  resolved "https://registry.yarnpkg.com/@babel/code-frame/-/code-frame-7.29.0.tgz#7cd7a59f15b3cc0dcd803038f7792712a7d0b15c"
  integrity sha512-9NhCeYjq9+3uxgdtp20LSiJXJvN0FeCtNGpJxuMFZ1Kv3cWUNb6DOhJwUvcVCzKGR66cw4njwM6hrJLqgOwbcw==
@@ -27,51 +19,34 @@
    js-tokens "^4.0.0"
    picocolors "^1.1.1"

-"@babel/compat-data@^7.25.2":
-  version "7.25.2"
-  resolved "https://registry.yarnpkg.com/@babel/compat-data/-/compat-data-7.25.2.tgz#e41928bd33475305c586f6acbbb7e3ade7a6f7f5"
-  integrity sha512-bYcppcpKBvX4znYaPEeFau03bp89ShqNMLs+rmdptMw+heSZh9+z84d2YG+K7cYLbWwzdjtDoW/uqZmPjulClQ==
-
-"@babel/compat-data@^7.28.6":
-  version "7.29.0"
-  resolved "https://registry.yarnpkg.com/@babel/compat-data/-/compat-data-7.29.0.tgz#00d03e8c0ac24dd9be942c5370990cbe1f17d88d"
-  integrity sha512-T1NCJqT/j9+cn8fvkt7jtwbLBfLC/1y1c7NtCeXFRgzGTsafi68MRv8yzkYSapBnFA6L3U2VSc02ciDzoAJhJg==
-
-"@babel/core@^7.23.9":
-  version "7.25.2"
-  resolved "https://registry.yarnpkg.com/@babel/core/-/core-7.25.2.tgz#ed8eec275118d7613e77a352894cd12ded8eba77"
-  integrity sha512-BBt3opiCOxUr9euZ5/ro/Xv8/V7yJ5bjYMqG/C1YAo8MIKAnumZalCN+msbci3Pigy4lIQfPUpfMM27HMGaYEA==
+"@babel/code-frame@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/code-frame/-/code-frame-7.29.7.tgz#f2fbbfea87c44a21590ec515b778b2c26d8866e7"
+  integrity sha512-Aup7aUOfpbAUg2ROOJN6Iw5f9DMBlzu0mIkm/malLQFN/YQgO48wCj0Kxa3sEHJvPVFg7siR+qRInwXd2qhQKw==
  dependencies:
-    "@ampproject/remapping" "^2.2.0"
-    "@babel/code-frame" "^7.24.7"
-    "@babel/generator" "^7.25.0"
-    "@babel/helper-compilation-targets" "^7.25.2"
-    "@babel/helper-module-transforms" "^7.25.2"
-    "@babel/helpers" "^7.25.0"
-    "@babel/parser" "^7.25.0"
-    "@babel/template" "^7.25.0"
-    "@babel/traverse" "^7.25.2"
-    "@babel/types" "^7.25.2"
-    convert-source-map "^2.0.0"
-    debug "^4.1.0"
-    gensync "^1.0.0-beta.2"
-    json5 "^2.2.3"
-    semver "^6.3.1"
+    "@babel/helper-validator-identifier" "^7.29.7"
+    js-tokens "^4.0.0"
+    picocolors "^1.1.1"

-"@babel/core@^7.27.4":
-  version "7.29.0"
-  resolved "https://registry.yarnpkg.com/@babel/core/-/core-7.29.0.tgz#5286ad785df7f79d656e88ce86e650d16ca5f322"
-  integrity sha512-CGOfOJqWjg2qW/Mb6zNsDm+u5vFQ8DxXfbM09z69p5Z6+mE1ikP2jUXw+j42Pf1XTYED2Rni5f95npYeuwMDQA==
+"@babel/compat-data@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/compat-data/-/compat-data-7.29.7.tgz#6f0237f0f36d2e51c0570a636faed9d2d0efe629"
+  integrity sha512-locTkQyKvwIEgBzVrn8693ebc97F2U8ZHjbXwDXJ5Fn2TCpNwTlKcaKLkdHop5c/icOFE7qt7Q9JC5hnKNa6Gg==
+
+"@babel/core@^7.23.9", "@babel/core@^7.27.4":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/core/-/core-7.29.7.tgz#80c10b17248082968b57a857b91640971f2070f7"
+  integrity sha512-RgHBCvtjbOK2gXSNBNIkNoEc9qoVEtau3hj8gEqKQuL3HZAibKarWFEI3Lfm6EYKkLalOh8eSrj9b+ch9H/VBA==
  dependencies:
-    "@babel/code-frame" "^7.29.0"
-    "@babel/generator" "^7.29.0"
-    "@babel/helper-compilation-targets" "^7.28.6"
-    "@babel/helper-module-transforms" "^7.28.6"
-    "@babel/helpers" "^7.28.6"
-    "@babel/parser" "^7.29.0"
-    "@babel/template" "^7.28.6"
-    "@babel/traverse" "^7.29.0"
-    "@babel/types" "^7.29.0"
+    "@babel/code-frame" "^7.29.7"
+    "@babel/generator" "^7.29.7"
+    "@babel/helper-compilation-targets" "^7.29.7"
+    "@babel/helper-module-transforms" "^7.29.7"
+    "@babel/helpers" "^7.29.7"
+    "@babel/parser" "^7.29.7"
+    "@babel/template" "^7.29.7"
+    "@babel/traverse" "^7.29.7"
+    "@babel/types" "^7.29.7"
    "@jridgewell/remapping" "^2.3.5"
    convert-source-map "^2.0.0"
    debug "^4.1.0"
@@ -79,17 +54,7 @@
    json5 "^2.2.3"
    semver "^6.3.1"

-"@babel/generator@^7.25.0":
-  version "7.25.0"
-  resolved "https://registry.yarnpkg.com/@babel/generator/-/generator-7.25.0.tgz#f858ddfa984350bc3d3b7f125073c9af6988f18e"
-  integrity sha512-3LEEcj3PVW8pW2R1SR1M89g/qrYk/m/mB/tLqn7dn4sbBUQyTqnlod+II2U4dqiGtUmkcnAmkMDralTFZttRiw==
-  dependencies:
-    "@babel/types" "^7.25.0"
-    "@jridgewell/gen-mapping" "^0.3.5"
-    "@jridgewell/trace-mapping" "^0.3.25"
-    jsesc "^2.5.1"
-
-"@babel/generator@^7.27.5", "@babel/generator@^7.29.0":
+"@babel/generator@^7.27.5":
  version "7.29.1"
  resolved "https://registry.yarnpkg.com/@babel/generator/-/generator-7.29.1.tgz#d09876290111abbb00ef962a7b83a5307fba0d50"
  integrity sha512-qsaF+9Qcm2Qv8SRIMMscAvG4O3lJ0F1GuMo5HR/Bp02LopNgnZBC/EkbevHFeGs4ls/oPz9v+Bsmzbkbe+0dUw==
@@ -100,67 +65,49 @@
    "@jridgewell/trace-mapping" "^0.3.28"
    jsesc "^3.0.2"

-"@babel/helper-compilation-targets@^7.25.2":
-  version "7.25.2"
-  resolved "https://registry.yarnpkg.com/@babel/helper-compilation-targets/-/helper-compilation-targets-7.25.2.tgz#e1d9410a90974a3a5a66e84ff55ef62e3c02d06c"
-  integrity sha512-U2U5LsSaZ7TAt3cfaymQ8WHh0pxvdHoEk6HVpaexxixjyEquMh0L0YNJNM6CTGKMXV1iksi0iZkGw4AcFkPaaw==
+"@babel/generator@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/generator/-/generator-7.29.7.tgz#cca0b8827e6bcf3ba176788e7f3b180ad6db2fa3"
+  integrity sha512-DkXD5OJQaAQIdZ1bt3UZdEnHAn9Imd3IVBdX03UFe+ony9Ojw5pzr9YVKGDY1jt+Gcn/FnGkNf8r+Vj5NOJWtQ==
  dependencies:
-    "@babel/compat-data" "^7.25.2"
-    "@babel/helper-validator-option" "^7.24.8"
-    browserslist "^4.23.1"
-    lru-cache "^5.1.1"
-    semver "^6.3.1"
+    "@babel/parser" "^7.29.7"
+    "@babel/types" "^7.29.7"
+    "@jridgewell/gen-mapping" "^0.3.12"
+    "@jridgewell/trace-mapping" "^0.3.28"
+    jsesc "^3.0.2"

-"@babel/helper-compilation-targets@^7.28.6":
-  version "7.28.6"
-  resolved "https://registry.yarnpkg.com/@babel/helper-compilation-targets/-/helper-compilation-targets-7.28.6.tgz#32c4a3f41f12ed1532179b108a4d746e105c2b25"
-  integrity sha512-JYtls3hqi15fcx5GaSNL7SCTJ2MNmjrkHXg4FSpOA/grxK8KwyZ5bubHsCq8FXCkua6xhuaaBit+3b7+VZRfcA==
+"@babel/helper-compilation-targets@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/helper-compilation-targets/-/helper-compilation-targets-7.29.7.tgz#7a1def704302401c47f64fa85589e974ae217042"
+  integrity sha512-wem6WaBj4NaVYVdNhLPPVacES6ZJ+KBBfSkTMD3YZxbP3rm3Di85tJU5ljaUNhaOynt+Aj0xruhYuzQBt8n71g==
  dependencies:
-    "@babel/compat-data" "^7.28.6"
-    "@babel/helper-validator-option" "^7.27.1"
+    "@babel/compat-data" "^7.29.7"
+    "@babel/helper-validator-option" "^7.29.7"
    browserslist "^4.24.0"
    lru-cache "^5.1.1"
    semver "^6.3.1"

-"@babel/helper-globals@^7.28.0":
-  version "7.28.0"
-  resolved "https://registry.yarnpkg.com/@babel/helper-globals/-/helper-globals-7.28.0.tgz#b9430df2aa4e17bc28665eadeae8aa1d985e6674"
-  integrity sha512-+W6cISkXFa1jXsDEdYA8HeevQT/FULhxzR99pxphltZcVaugps53THCeiWA8SguxxpSp3gKPiuYfSWopkLQ4hw==
+"@babel/helper-globals@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/helper-globals/-/helper-globals-7.29.7.tgz#f04a96fbd8473241b1079243f5b3f03a3010ab7b"
+  integrity sha512-3nQVUAtvkKH9zahfWgw96Jc/uFOmjACE1kQz82E2lqWmHBgjzbNlsC22nuQTfahmWeQtTq5nQ/4Nnd2A1wj4zA==

-"@babel/helper-module-imports@^7.24.7":
-  version "7.24.7"
-  resolved "https://registry.yarnpkg.com/@babel/helper-module-imports/-/helper-module-imports-7.24.7.tgz#f2f980392de5b84c3328fc71d38bd81bbb83042b"
-  integrity sha512-8AyH3C+74cgCVVXow/myrynrAGv+nTVg5vKu2nZph9x7RcRwzmh0VFallJuFTZ9mx6u4eSdXZfcOzSqTUm0HCA==
+"@babel/helper-module-imports@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/helper-module-imports/-/helper-module-imports-7.29.7.tgz#ef25048a518e828d7393fac5882ddd73921d7396"
+  integrity sha512-ejHwrQQYcm9xnTivShn2IDOlIzInN34AXskvq9QicvCtEzq1Vzclu/tKF8Jq1Cg8JG2GL6/EmjgsCT7lXepE3g==
  dependencies:
-    "@babel/traverse" "^7.24.7"
-    "@babel/types" "^7.24.7"
+    "@babel/traverse" "^7.29.7"
+    "@babel/types" "^7.29.7"

-"@babel/helper-module-imports@^7.28.6":
-  version "7.28.6"
-  resolved "https://registry.yarnpkg.com/@babel/helper-module-imports/-/helper-module-imports-7.28.6.tgz#60632cbd6ffb70b22823187201116762a03e2d5c"
-  integrity sha512-l5XkZK7r7wa9LucGw9LwZyyCUscb4x37JWTPz7swwFE/0FMQAGpiWUZn8u9DzkSBWEcK25jmvubfpw2dnAMdbw==
+"@babel/helper-module-transforms@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/helper-module-transforms/-/helper-module-transforms-7.29.7.tgz#b062747a5997ba138637201328bbff77960574ae"
+  integrity sha512-UPUVSyXbOh627KiCIGQSgwWzGeBKLkaJ9PJEdrngIwMSzxLR4jS4+f1f1jb7VzBbg8nFLaYotvVPFCTqdrmTAg==
  dependencies:
-    "@babel/traverse" "^7.28.6"
-    "@babel/types" "^7.28.6"
-
-"@babel/helper-module-transforms@^7.25.2":
-  version "7.25.2"
-  resolved "https://registry.yarnpkg.com/@babel/helper-module-transforms/-/helper-module-transforms-7.25.2.tgz#ee713c29768100f2776edf04d4eb23b8d27a66e6"
-  integrity sha512-BjyRAbix6j/wv83ftcVJmBt72QtHI56C7JXZoG2xATiLpmoC7dpd8WnkikExHDVPpi/3qCmO6WY1EaXOluiecQ==
-  dependencies:
-    "@babel/helper-module-imports" "^7.24.7"
-    "@babel/helper-simple-access" "^7.24.7"
-    "@babel/helper-validator-identifier" "^7.24.7"
-    "@babel/traverse" "^7.25.2"
-
-"@babel/helper-module-transforms@^7.28.6":
-  version "7.28.6"
-  resolved "https://registry.yarnpkg.com/@babel/helper-module-transforms/-/helper-module-transforms-7.28.6.tgz#9312d9d9e56edc35aeb6e95c25d4106b50b9eb1e"
-  integrity sha512-67oXFAYr2cDLDVGLXTEABjdBJZ6drElUSI7WKp70NrpyISso3plG9SAGEF6y7zbha/wOzUByWWTJvEDVNIUGcA==
-  dependencies:
-    "@babel/helper-module-imports" "^7.28.6"
-    "@babel/helper-validator-identifier" "^7.28.5"
-    "@babel/traverse" "^7.28.6"
+    "@babel/helper-module-imports" "^7.29.7"
+    "@babel/helper-validator-identifier" "^7.29.7"
+    "@babel/traverse" "^7.29.7"

 "@babel/helper-plugin-utils@^7.0.0", "@babel/helper-plugin-utils@^7.10.4", "@babel/helper-plugin-utils@^7.12.13", "@babel/helper-plugin-utils@^7.14.5", "@babel/helper-plugin-utils@^7.24.7", "@babel/helper-plugin-utils@^7.8.0":
  version "7.24.8"
@@ -172,14 +119,6 @@
  resolved "https://registry.yarnpkg.com/@babel/helper-plugin-utils/-/helper-plugin-utils-7.28.6.tgz#6f13ea251b68c8532e985fd532f28741a8af9ac8"
  integrity sha512-S9gzZ/bz83GRysI7gAD4wPT/AI3uCnY+9xn+Mx/KPs2JwHJIz1W8PZkg2cqyt3RNOBM8ejcXhV6y8Og7ly/Dug==

-"@babel/helper-simple-access@^7.24.7":
-  version "7.24.7"
-  resolved "https://registry.yarnpkg.com/@babel/helper-simple-access/-/helper-simple-access-7.24.7.tgz#bcade8da3aec8ed16b9c4953b74e506b51b5edb3"
-  integrity sha512-zBAIvbCMh5Ts+b86r/CjU+4XGYIs+R1j951gxI3KmmxBMhCg4oQMsv6ZXQ64XOm/cvzfU1FmoCyt6+owc5QMYg==
-  dependencies:
-    "@babel/traverse" "^7.24.7"
-    "@babel/types" "^7.24.7"
-
 "@babel/helper-string-parser@^7.24.8":
  version "7.24.8"
  resolved "https://registry.yarnpkg.com/@babel/helper-string-parser/-/helper-string-parser-7.24.8.tgz#5b3329c9a58803d5df425e5785865881a81ca48d"
@@ -190,6 +129,11 @@
  resolved "https://registry.yarnpkg.com/@babel/helper-string-parser/-/helper-string-parser-7.27.1.tgz#54da796097ab19ce67ed9f88b47bb2ec49367687"
  integrity sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA==

+"@babel/helper-string-parser@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/helper-string-parser/-/helper-string-parser-7.29.7.tgz#7f0871d99824d23137d60f86fcf6130fd5a1b51f"
+  integrity sha512-Pb5ijPrZ89GDH8223L4UP8i6QApWxs04RbPQJTeWDV0/keR2E36MeKnyr6LYmUUvqRRI+Iv87SuF1W6ErINzYw==
+
 "@babel/helper-validator-identifier@^7.24.7":
  version "7.24.7"
  resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.24.7.tgz#75b889cfaf9e35c2aaf42cf0d72c8e91719251db"
@@ -200,31 +144,23 @@
  resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.28.5.tgz#010b6938fab7cb7df74aa2bbc06aa503b8fe5fb4"
  integrity sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q==

-"@babel/helper-validator-option@^7.24.8":
-  version "7.24.8"
-  resolved "https://registry.yarnpkg.com/@babel/helper-validator-option/-/helper-validator-option-7.24.8.tgz#3725cdeea8b480e86d34df15304806a06975e33d"
-  integrity sha512-xb8t9tD1MHLungh/AIoWYN+gVHaB9kwlu8gffXGSt3FFEIT7RjS+xWbc2vUD1UTZdIpKj/ab3rdqJ7ufngyi2Q==
+"@babel/helper-validator-identifier@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.29.7.tgz#bd87084ced0c796ec46bda492de6e83d29e89fc2"
+  integrity sha512-qehxGkRj55h/ff8EMaJ+cYhyaKlHIxqYDn682wQD7RNp9UujOQsHog2uS0r2vzr4pW+sXf90NeeayjcNaX3fFg==

-"@babel/helper-validator-option@^7.27.1":
-  version "7.27.1"
-  resolved "https://registry.yarnpkg.com/@babel/helper-validator-option/-/helper-validator-option-7.27.1.tgz#fa52f5b1e7db1ab049445b421c4471303897702f"
-  integrity sha512-YvjJow9FxbhFFKDSuFnVCe2WxXk1zWc22fFePVNEaWJEu8IrZVlda6N0uHwzZrUM1il7NC9Mlp4MaJYbYd9JSg==
+"@babel/helper-validator-option@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/helper-validator-option/-/helper-validator-option-7.29.7.tgz#cf315be940213b354eb4abcc0bd01ebe3f73bc2a"
+  integrity sha512-N9ZErrD+yW5geCDtBqnOoxmR8+tNKiGuxKlDpuJxfsqpa2dFcexaziGAE/qoHLiDDreVNMupxGmSoNlyvsA3gw==

-"@babel/helpers@^7.25.0":
-  version "7.25.0"
-  resolved "https://registry.yarnpkg.com/@babel/helpers/-/helpers-7.25.0.tgz#e69beb7841cb93a6505531ede34f34e6a073650a"
-  integrity sha512-MjgLZ42aCm0oGjJj8CtSM3DB8NOOf8h2l7DCTePJs29u+v7yO/RBX9nShlKMgFnRks/Q4tBAe7Hxnov9VkGwLw==
+"@babel/helpers@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/helpers/-/helpers-7.29.7.tgz#45abfde7548997e34376c3e69feb475cffb4a607"
+  integrity sha512-1k2lAGRMfHTcwuNYcCNUmaUffmQv8KWMfh2iJUUeRlwlwH4FdNG7mfPI10NPfLHJFThE4Tyr4mv7kTNZOiPuBg==
  dependencies:
-    "@babel/template" "^7.25.0"
-    "@babel/types" "^7.25.0"
-
-"@babel/helpers@^7.28.6":
-  version "7.28.6"
-  resolved "https://registry.yarnpkg.com/@babel/helpers/-/helpers-7.28.6.tgz#fca903a313ae675617936e8998b814c415cbf5d7"
-  integrity sha512-xOBvwq86HHdB7WUDTfKfT/Vuxh7gElQ+Sfti2Cy6yIWNW05P8iUslOVcZ4/sKbE+/jQaukQAdz/gf3724kYdqw==
-  dependencies:
-    "@babel/template" "^7.28.6"
-    "@babel/types" "^7.28.6"
+    "@babel/template" "^7.29.7"
+    "@babel/types" "^7.29.7"

 "@babel/highlight@^7.24.7":
  version "7.24.7"
@@ -236,20 +172,27 @@
    js-tokens "^4.0.0"
    picocolors "^1.0.0"

-"@babel/parser@^7.1.0", "@babel/parser@^7.20.7", "@babel/parser@^7.23.9", "@babel/parser@^7.25.0", "@babel/parser@^7.25.3":
+"@babel/parser@^7.1.0", "@babel/parser@^7.20.7", "@babel/parser@^7.23.9":
  version "7.25.3"
  resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.25.3.tgz#91fb126768d944966263f0657ab222a642b82065"
  integrity sha512-iLTJKDbJ4hMvFPgQwwsVoxtHyWpKKPBrxkANrSYewDPaPpT5py5yeVkgPIJ7XYXhndxJpaA3PyALSXQ7u8e/Dw==
  dependencies:
    "@babel/types" "^7.25.2"

-"@babel/parser@^7.28.6", "@babel/parser@^7.29.0":
+"@babel/parser@^7.29.0":
  version "7.29.0"
  resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.29.0.tgz#669ef345add7d057e92b7ed15f0bac07611831b6"
  integrity sha512-IyDgFV5GeDUVX4YdF/3CPULtVGSXXMLh1xVIgdCgxApktqnQV0r7/8Nqthg+8YLGaAtdyIlo2qIdZrbCv4+7ww==
  dependencies:
    "@babel/types" "^7.29.0"

+"@babel/parser@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.29.7.tgz#837b87387cbf5ec5530cb634b3c622f68edb9334"
+  integrity sha512-hnORnjP/1P/zFEndoeX+n+t1RwWRJiJpM/jO7FW32Kn9r5+sJB2JWOdYo4L6k78j15eCwY3Gm/7364B1EMwtNg==
+  dependencies:
+    "@babel/types" "^7.29.7"
+
 "@babel/plugin-syntax-async-generators@^7.8.4":
  version "7.8.4"
  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-async-generators/-/plugin-syntax-async-generators-7.8.4.tgz#a983fb1aeb2ec3f6ed042a210f640e90e786fe0d"
@@ -369,51 +312,29 @@
  dependencies:
    "@babel/helper-plugin-utils" "^7.28.6"

-"@babel/template@^7.25.0":
-  version "7.25.0"
-  resolved "https://registry.yarnpkg.com/@babel/template/-/template-7.25.0.tgz#e733dc3134b4fede528c15bc95e89cb98c52592a"
-  integrity sha512-aOOgh1/5XzKvg1jvVz7AVrx2piJ2XBi227DHmbY6y+bM9H2FlN+IfecYu4Xl0cNiiVejlsCri89LUsbj8vJD9Q==
+"@babel/template@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/template/-/template-7.29.7.tgz#4d9d4004f645cdd304de958c725162784ecac700"
+  integrity sha512-puq+Gf35oI24FeN11LkoUQFqv9uwNeWpxXZi/Ji3rRIoKAzKnxRaZ+Gkj0vKS9ZCiTESfng1N9LyOyXvo+m+Gg==
  dependencies:
-    "@babel/code-frame" "^7.24.7"
-    "@babel/parser" "^7.25.0"
-    "@babel/types" "^7.25.0"
+    "@babel/code-frame" "^7.29.7"
+    "@babel/parser" "^7.29.7"
+    "@babel/types" "^7.29.7"

-"@babel/template@^7.28.6":
-  version "7.28.6"
-  resolved "https://registry.yarnpkg.com/@babel/template/-/template-7.28.6.tgz#0e7e56ecedb78aeef66ce7972b082fce76a23e57"
-  integrity sha512-YA6Ma2KsCdGb+WC6UpBVFJGXL58MDA6oyONbjyF/+5sBgxY/dwkhLogbMT2GXXyU84/IhRw/2D1Os1B/giz+BQ==
+"@babel/traverse@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/traverse/-/traverse-7.29.7.tgz#c47b07a41b95da0907d026b5dd894d98de7d2f2d"
+  integrity sha512-EhlfNQtZ+NK22w5BM61ciuiq1m58ed33Wr1Xan//ZRTy6hgjnwyCffRYwzsGXdASJSUJ1guZILsErh1eQcl+zw==
  dependencies:
-    "@babel/code-frame" "^7.28.6"
-    "@babel/parser" "^7.28.6"
-    "@babel/types" "^7.28.6"
-
-"@babel/traverse@^7.24.7", "@babel/traverse@^7.25.2":
-  version "7.25.3"
-  resolved "https://registry.yarnpkg.com/@babel/traverse/-/traverse-7.25.3.tgz#f1b901951c83eda2f3e29450ce92743783373490"
-  integrity sha512-HefgyP1x754oGCsKmV5reSmtV7IXj/kpaE1XYY+D9G5PvKKoFfSbiS4M77MdjuwlZKDIKFCffq9rPU+H/s3ZdQ==
-  dependencies:
-    "@babel/code-frame" "^7.24.7"
-    "@babel/generator" "^7.25.0"
-    "@babel/parser" "^7.25.3"
-    "@babel/template" "^7.25.0"
-    "@babel/types" "^7.25.2"
-    debug "^4.3.1"
-    globals "^11.1.0"
-
-"@babel/traverse@^7.28.6", "@babel/traverse@^7.29.0":
-  version "7.29.0"
-  resolved "https://registry.yarnpkg.com/@babel/traverse/-/traverse-7.29.0.tgz#f323d05001440253eead3c9c858adbe00b90310a"
-  integrity sha512-4HPiQr0X7+waHfyXPZpWPfWL/J7dcN1mx9gL6WdQVMbPnF3+ZhSMs8tCxN7oHddJE9fhNE7+lxdnlyemKfJRuA==
-  dependencies:
-    "@babel/code-frame" "^7.29.0"
-    "@babel/generator" "^7.29.0"
-    "@babel/helper-globals" "^7.28.0"
-    "@babel/parser" "^7.29.0"
-    "@babel/template" "^7.28.6"
-    "@babel/types" "^7.29.0"
+    "@babel/code-frame" "^7.29.7"
+    "@babel/generator" "^7.29.7"
+    "@babel/helper-globals" "^7.29.7"
+    "@babel/parser" "^7.29.7"
+    "@babel/template" "^7.29.7"
+    "@babel/types" "^7.29.7"
    debug "^4.3.1"

-"@babel/types@^7.0.0", "@babel/types@^7.20.7", "@babel/types@^7.24.7", "@babel/types@^7.25.0", "@babel/types@^7.25.2":
+"@babel/types@^7.0.0", "@babel/types@^7.20.7", "@babel/types@^7.25.2":
  version "7.25.2"
  resolved "https://registry.yarnpkg.com/@babel/types/-/types-7.25.2.tgz#55fb231f7dc958cd69ea141a4c2997e819646125"
  integrity sha512-YTnYtra7W9e6/oAZEHj0bJehPRUlLH9/fbpT5LfB0NhQXyALCRkRs3zH9v07IYhkgpqX6Z78FnuccZr/l4Fs4Q==
@@ -422,7 +343,7 @@
    "@babel/helper-validator-identifier" "^7.24.7"
    to-fast-properties "^2.0.0"

-"@babel/types@^7.27.3", "@babel/types@^7.28.6", "@babel/types@^7.29.0":
+"@babel/types@^7.27.3", "@babel/types@^7.29.0":
  version "7.29.0"
  resolved "https://registry.yarnpkg.com/@babel/types/-/types-7.29.0.tgz#9f5b1e838c446e72cf3cd4b918152b8c605e37c7"
  integrity sha512-LwdZHpScM4Qz8Xw2iKSzS+cfglZzJGvofQICy7W7v4caru4EaAmyUuO6BGrbyQ2mYV11W0U8j5mBhd14dd3B0A==
@@ -430,6 +351,14 @@
    "@babel/helper-string-parser" "^7.27.1"
    "@babel/helper-validator-identifier" "^7.28.5"

+"@babel/types@^7.29.7":
+  version "7.29.7"
+  resolved "https://registry.yarnpkg.com/@babel/types/-/types-7.29.7.tgz#8005e31d82712ee7adaef6e23c63b71a62770a92"
+  integrity sha512-4zBIxpPzowiZpusoFkyGVwakdRJUyuH5PxQ/PrqghfdFWWasvnCdPfQXHrenDai+gyLARulZjZowCOj6fjT4pA==
+  dependencies:
+    "@babel/helper-string-parser" "^7.29.7"
+    "@babel/helper-validator-identifier" "^7.29.7"
+
 "@bcoe/v8-coverage@^0.2.3":
  version "0.2.3"
  resolved "https://registry.yarnpkg.com/@bcoe/v8-coverage/-/v8-coverage-0.2.3.tgz#75a2e8b51cb758a7553d6804a5932d7aace75c39"
@@ -1614,16 +1543,6 @@ braces@^3.0.3:
  dependencies:
    fill-range "^7.1.1"

-browserslist@^4.23.1:
-  version "4.23.3"
-  resolved "https://registry.yarnpkg.com/browserslist/-/browserslist-4.23.3.tgz#debb029d3c93ebc97ffbc8d9cbb03403e227c800"
-  integrity sha512-btwCFJVjI4YWDNfau8RhZ+B1Q/VLoUITrm3RlP6y1tYGWIOa+InuYiRGXUBXo8nA1qKmHMyLB/iVQg5TT4eFoA==
-  dependencies:
-    caniuse-lite "^1.0.30001646"
-    electron-to-chromium "^1.5.4"
-    node-releases "^2.0.18"
-    update-browserslist-db "^1.1.0"
-
 browserslist@^4.24.0:
  version "4.28.1"
  resolved "https://registry.yarnpkg.com/browserslist/-/browserslist-4.28.1.tgz#7f534594628c53c63101079e27e40de490456a95"
@@ -1706,11 +1625,6 @@ camelcase@^6.3.0:
  resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-6.3.0.tgz#5685b95eb209ac9c0c177467778c9c84df58ba9a"
  integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==

-caniuse-lite@^1.0.30001646:
-  version "1.0.30001651"
-  resolved "https://registry.yarnpkg.com/caniuse-lite/-/caniuse-lite-1.0.30001651.tgz#52de59529e8b02b1aedcaaf5c05d9e23c0c28138"
-  integrity sha512-9Cf+Xv1jJNe1xPZLGuUXLNkE1BoDkqRqYyFJ9TDYSqhduqA4hu4oR9HluGoWYQC/aj8WHjsGVV+bwkh0+tegRg==
-
 caniuse-lite@^1.0.30001759:
  version "1.0.30001769"
  resolved "https://registry.yarnpkg.com/caniuse-lite/-/caniuse-lite-1.0.30001769.tgz#1ad91594fad7dc233777c2781879ab5409f7d9c2"
@@ -1947,11 +1861,6 @@ electron-to-chromium@^1.5.263:
  resolved "https://registry.yarnpkg.com/electron-to-chromium/-/electron-to-chromium-1.5.286.tgz#142be1ab5e1cd5044954db0e5898f60a4960384e"
  integrity sha512-9tfDXhJ4RKFNerfjdCcZfufu49vg620741MNs26a9+bhLThdB+plgMeou98CAaHu/WATj2iHOOHTp1hWtABj2A==

-electron-to-chromium@^1.5.4:
-  version "1.5.12"
-  resolved "https://registry.yarnpkg.com/electron-to-chromium/-/electron-to-chromium-1.5.12.tgz#ee31756eaa2e06f2aa606f170b7ad06dd402b4e4"
-  integrity sha512-tIhPkdlEoCL1Y+PToq3zRNehUaKp3wBX/sr7aclAWdIWjvqAe/Im/H0SiCM4c1Q8BLPHCdoJTol+ZblflydehA==
-
 emittery@^0.13.1:
  version "0.13.1"
  resolved "https://registry.yarnpkg.com/emittery/-/emittery-0.13.1.tgz#c04b8c3457490e0847ae51fced3af52d338e3dad"
@@ -2168,7 +2077,7 @@ es-to-primitive@^1.3.0:
    is-date-object "^1.0.5"
    is-symbol "^1.0.4"

-escalade@^3.1.1, escalade@^3.1.2:
+escalade@^3.1.1:
  version "3.1.2"
  resolved "https://registry.yarnpkg.com/escalade/-/escalade-3.1.2.tgz#54076e9ab29ea5bf3d8f1ed62acffbb88272df27"
  integrity sha512-ErCHMCae19vR8vQGe50xIsVomy19rg6gFu3+r3jkEO46suLMWBksvVyoGgQV+jOfl84ZSOSlmv6Gxa89PmTGmA==
@@ -2662,11 +2571,6 @@ glob@^7.1.4:
    once "^1.3.0"
    path-is-absolute "^1.0.0"

-globals@^11.1.0:
-  version "11.12.0"
-  resolved "https://registry.yarnpkg.com/globals/-/globals-11.12.0.tgz#ab8795338868a0babd8525758018c2a7eb95c42e"
-  integrity sha512-WOBp/EEGUiIsJSp7wcv/y6MO+lV9UoncWqxuFfm8eBwzWNgyfBd6Gz+IeKQ9jCmyhoH99g15M3T+QaVHFjizVA==
-
 globals@^14.0.0:
  version "14.0.0"
  resolved "https://registry.yarnpkg.com/globals/-/globals-14.0.0.tgz#898d7413c29babcf6bafe56fcadded858ada724e"
@@ -3646,11 +3550,6 @@ js-yaml@^4.1.1:
  dependencies:
    argparse "^2.0.1"

-jsesc@^2.5.1:
-  version "2.5.2"
-  resolved "https://registry.yarnpkg.com/jsesc/-/jsesc-2.5.2.tgz#80564d2e483dacf6e8ef209650a67df3f0c283a4"
-  integrity sha512-OYu7XEzjkCQ3C5Ps3QIZsQfNpqoJyZZA99wd9aWd05NCtC5pWOkShK2mkL6HXQR6/Cy2lbNdPlZBpuQHXE63gA==
-
 jsesc@^3.0.2:
  version "3.1.0"
  resolved "https://registry.yarnpkg.com/jsesc/-/jsesc-3.1.0.tgz#74d335a234f67ed19907fdadfac7ccf9d409825d"
@@ -3854,11 +3753,6 @@ node-int64@^0.4.0:
  resolved "https://registry.yarnpkg.com/node-int64/-/node-int64-0.4.0.tgz#87a9065cdb355d3182d8f94ce11188b825c68a3b"
  integrity sha512-O5lz91xSOeoXP6DulyHfllpq+Eg00MWitZIbtPfoSEvqIHdl5gfcY6hYzDWnj0qD5tz52PI08u9qUvSVeUBeHw==

-node-releases@^2.0.18:
-  version "2.0.18"
-  resolved "https://registry.yarnpkg.com/node-releases/-/node-releases-2.0.18.tgz#f010e8d35e2fe8d6b2944f03f70213ecedc4ca3f"
-  integrity sha512-d9VeXT4SJ7ZeOqGX6R5EM022wpL+eWPooLI+5UpWn2jCT1aosUQEhQP214x33Wkwx3JQMvIm+tIoVOdodFS40g==
-
 node-releases@^2.0.27:
  version "2.0.27"
  resolved "https://registry.yarnpkg.com/node-releases/-/node-releases-2.0.27.tgz#eedca519205cf20f650f61d56b070db111231e4e"
@@ -4100,7 +3994,7 @@ path-scurry@^1.11.1:
    lru-cache "^10.2.0"
    minipass "^5.0.0 || ^6.0.2 || ^7.0.0"

-picocolors@^1.0.0, picocolors@^1.0.1:
+picocolors@^1.0.0:
  version "1.0.1"
  resolved "https://registry.yarnpkg.com/picocolors/-/picocolors-1.0.1.tgz#a8ad579b571952f0e5d25892de5445bcfe25aaa1"
  integrity sha512-anP1Z8qwhkbmu7MFP5iTt+wQKXgwzf7zTyGlcdzabySa9vd0Xt392U0rVmz9poOaBj0uHJKyyo9/upk0HrEQew==
@@ -4856,14 +4750,6 @@ unrs-resolver@^1.7.11:
    "@unrs/resolver-binding-win32-ia32-msvc" "1.11.1"
    "@unrs/resolver-binding-win32-x64-msvc" "1.11.1"

-update-browserslist-db@^1.1.0:
-  version "1.1.0"
-  resolved "https://registry.yarnpkg.com/update-browserslist-db/-/update-browserslist-db-1.1.0.tgz#7ca61c0d8650766090728046e416a8cde682859e"
-  integrity sha512-EdRAaAyk2cUE1wOf2DkEhzxqOQvFOoRJFNS6NeyJ01Gp2beMRpBAINjM2iDXE3KCuKhwnvHIQCJm6ThL2Z+HzQ==
-  dependencies:
-    escalade "^3.1.2"
-    picocolors "^1.0.1"
-
 update-browserslist-db@^1.2.0:
  version "1.2.3"
  resolved "https://registry.yarnpkg.com/update-browserslist-db/-/update-browserslist-db-1.2.3.tgz#64d76db58713136acbeb4c49114366cc6cc2e80d"
@@ -1280,9 +1280,9 @@ js-tiktoken@^1.0.12:
    base64-js "^1.5.1"

 js-yaml@^4.1.1:
-  version "4.1.1"
-  resolved "https://registry.yarnpkg.com/js-yaml/-/js-yaml-4.1.1.tgz#854c292467705b699476e1a2decc0c8a3458806b"
-  integrity sha512-qQKT4zQxXl8lLwBtHMWwaTcGfFOZviOJet3Oy/xmGk2gZH677CJM9EvtfdSkgWcATZhj/55JZ0rmy3myCT5lsA==
+  version "4.2.0"
+  resolved "https://registry.yarnpkg.com/js-yaml/-/js-yaml-4.2.0.tgz#2bd9e85682dd91bd469afb809d816043b3d49524"
+  integrity sha512-ePWsvanv0DWuDRsW8dnt+R4jQ31SCRCQ7hhNcPXZPsoBZiemuZNYGf7adZdqX2D86j6rvKp3RpCxVTSb8WQlOw==
  dependencies:
    argparse "^2.0.1"

@@ -1 +1 @@
-__version__ = "0.4.29"
+__version__ = "0.4.30"
@@ -159,7 +159,14 @@ OPT_POSTGRES_URI = click.option(
 OPT_API_VERSION = click.option(
    "--api-version",
    type=str,
-    help="API server version to use for the base image. If unspecified, the latest version will be used.",
+    help=(
+        "API server version to use for the base image. If unspecified, the "
+        "latest stable version will be used. Compatible ranges like "
+        "~=0.11.0.dev5 stay on 0.11.0.dev5 while only newer dev builds exist, "
+        "then resolve to the newest matching rc or stable release, for example "
+        "0.11.0rc1 or 0.11.0. Stable-floating ranges like >~=0.11.0.dev5 "
+        "can also pick up future stable releases, for example 0.12.0."
+    ),
 )

 OPT_ENGINE_RUNTIME_MODE = click.option(
@@ -9,6 +9,7 @@ from collections import Counter
 from typing import Literal, NamedTuple

 import click
+import httpx

 from langgraph_cli.schemas import Config, Distros
 from langgraph_cli.uv_lock import python_config_to_docker_uv_lock
@@ -41,6 +42,31 @@ _API_VERSION_PATTERN = re.compile(
    r"(?:\.(?P<patch>\d+))?"
    r"(?:(?:\.|)(?:[A-Za-z][0-9A-Za-z]*))?$"
 )
+_API_VERSION_RANGE_PATTERN = re.compile(r"^(?P<operator>~=|>~=)\s*(?P<version>.+)$")
+_API_VERSION_PART_PATTERN = re.compile(
+    r"^(?P<major>\d+)"
+    r"(?:\.(?P<minor>\d+))?"
+    r"(?:\.(?P<patch>\d+))?"
+    r"(?:(?:\.|)(?P<pre>dev|rc)(?P<pre_n>\d+))?$"
+)
+
+
+class _ParsedApiVersion(NamedTuple):
+    release: tuple[int, ...]
+    prerelease: str | None
+    prerelease_number: int
+
+
+class _ApiVersionRange(NamedTuple):
+    floor: _ParsedApiVersion
+    allow_future_stable: bool
+
+
+_PRERELEASE_ORDER = {
+    "dev": 0,
+    "rc": 1,
+    None: 2,
+}


 def has_disallowed_build_command_content(command: str) -> bool:
@@ -141,6 +167,133 @@ def _parse_api_version_parts(version_str: str) -> tuple[int, ...]:
    return tuple(int(part) for part in match.groups() if part is not None)


+def _parse_api_version(version_str: str) -> _ParsedApiVersion:
+    match = _API_VERSION_PART_PATTERN.fullmatch(version_str)
+    if not match:
+        raise ValueError("Version must be major or major.minor or major.minor.patch.")
+    release = tuple(
+        int(part)
+        for part in (
+            match.group("major"),
+            match.group("minor"),
+            match.group("patch"),
+        )
+        if part is not None
+    )
+    prerelease = match.group("pre")
+    prerelease_number = int(match.group("pre_n") or 0)
+    return _ParsedApiVersion(release, prerelease, prerelease_number)
+
+
+def _api_version_sort_key(
+    version: _ParsedApiVersion,
+) -> tuple[tuple[int, ...], int, int]:
+    return (
+        version.release,
+        _PRERELEASE_ORDER[version.prerelease],
+        version.prerelease_number,
+    )
+
+
+def _api_version_upper_bound(version: _ParsedApiVersion) -> tuple[int, ...]:
+    release = version.release
+    if len(release) <= 2:
+        return (release[0] + 1,)
+    return (release[0], release[1] + 1)
+
+
+def _is_compatible_api_version_candidate(
+    candidate: _ParsedApiVersion,
+    version_range: _ApiVersionRange,
+    upper_bound: tuple[int, ...],
+) -> bool:
+    floor = version_range.floor
+    if _api_version_sort_key(candidate) < _api_version_sort_key(floor):
+        return False
+    outside_compatible_range = candidate.release[: len(upper_bound)] >= upper_bound
+    if outside_compatible_range and not version_range.allow_future_stable:
+        return False
+    if outside_compatible_range and candidate.prerelease is not None:
+        return False
+    if floor.prerelease == "dev" and candidate.prerelease == "dev":
+        return candidate == floor
+    return True
+
+
+def _ensure_compatible_api_version_base_image(base_image: str) -> None:
+    if ":" in base_image:
+        raise click.UsageError(
+            "Compatible api_version ranges cannot be used with a tagged base_image."
+        )
+
+
+def _get_pypi_versions(package_name: str) -> list[str]:
+    try:
+        response = httpx.get(
+            f"https://pypi.org/pypi/{package_name}/json",
+            timeout=10,
+        )
+        response.raise_for_status()
+    except httpx.HTTPError as exc:
+        raise click.UsageError(
+            f"Failed to fetch PyPI versions for {package_name}: {exc}"
+        ) from None
+    payload = response.json()
+    releases = payload.get("releases", {})
+    if not isinstance(releases, dict):
+        raise click.UsageError(
+            f"Failed to fetch PyPI versions for {package_name}: invalid response."
+        )
+    return [version for version in releases if isinstance(version, str)]
+
+
+def _resolve_compatible_api_version(
+    api_version: str,
+    base_image: str,
+    version_distro_tag: str,
+) -> str:
+    match = _API_VERSION_RANGE_PATTERN.fullmatch(api_version)
+    if not match:
+        return api_version
+
+    floor_str = match.group("version").strip()
+    try:
+        floor = _parse_api_version(floor_str)
+    except ValueError:
+        raise click.UsageError(
+            f"Invalid compatible api_version range: {api_version}.\n\n"
+            "Use a compatible version range, e.g.:\n"
+            '  "api_version": "~=0.11.0.dev5"\n'
+            "or a stable-floating range, e.g.:\n"
+            '  "api_version": ">~=0.11.0.dev5"'
+        ) from None
+
+    version_range = _ApiVersionRange(
+        floor=floor,
+        allow_future_stable=match.group("operator") == ">~=",
+    )
+    _ensure_compatible_api_version_base_image(base_image)
+    pypi_versions = _get_pypi_versions("langgraph-api")
+
+    candidates: list[tuple[_ParsedApiVersion, str]] = []
+    upper_bound = _api_version_upper_bound(floor)
+    for candidate_str in pypi_versions:
+        try:
+            candidate = _parse_api_version(candidate_str)
+        except ValueError:
+            continue
+        if _is_compatible_api_version_candidate(candidate, version_range, upper_bound):
+            candidates.append((candidate, candidate_str))
+
+    if not candidates:
+        raise click.UsageError(
+            f"No PyPI releases match compatible api_version range {api_version!r} "
+            f"for {base_image} with {version_distro_tag!r}."
+        )
+
+    return max(candidates, key=lambda item: _api_version_sort_key(item[0]))[1]
+
+
 def _is_node_graph(spec: str | dict) -> bool:
    """Check if a graph is a Node.js graph based on the file extension."""
    if isinstance(spec, dict):
@@ -194,7 +347,12 @@ def validate_config(config: Config) -> Config:
            )
    if api_version:
        try:
-            parts = _parse_api_version_parts(api_version)
+            compatible_match = _API_VERSION_RANGE_PATTERN.fullmatch(api_version)
+            parts = _parse_api_version_parts(
+                compatible_match.group("version").strip()
+                if compatible_match
+                else api_version
+            )
            if len(parts) > 3:
                raise ValueError(
                    "Version must be major or major.minor or major.minor.patch."
@@ -1430,6 +1588,9 @@ def docker_tag(

    # Prepend API version if provided
    if api_version:
+        api_version = _resolve_compatible_api_version(
+            api_version, base_image, f"{language}{version_distro_tag}"
+        )
        full_tag = f"{api_version}-{language}{version_distro_tag}"
    elif "/langgraph-server" in base_image and version_distro_tag not in base_image:
        return f"{base_image}-{language}{version_distro_tag}"
@@ -366,6 +366,42 @@ def normalize_image_tag(value: str) -> str:
    return value


+def _validate_prebuilt_image(runner, image: str, *, verbose: bool) -> None:
+    """Ensure a prebuilt image exists locally for linux/amd64."""
+    try:
+        stdout, _ = runner.run(
+            subp_exec(
+                "docker",
+                "image",
+                "inspect",
+                "--format",
+                "{{.Os}}/{{.Architecture}}",
+                image,
+                verbose=verbose,
+                collect=True,
+            )
+        )
+    except FileNotFoundError:
+        raise click.ClickException(
+            "Docker is required but not installed.\n"
+            "Install Docker Desktop: https://docs.docker.com/get-docker/"
+        ) from None
+    except click.exceptions.Exit:
+        raise click.ClickException(
+            f"Docker image '{image}' was not found locally. Build or pull the image "
+            "before deploying with --image."
+        ) from None
+
+    image_platform = (stdout or "").strip()
+    if image_platform != "linux/amd64":
+        detected = image_platform or "unknown"
+        raise click.ClickException(
+            f"Docker image '{image}' targets {detected}, but LangSmith Deployment "
+            "requires linux/amd64. Rebuild or pull the image for linux/amd64 before "
+            "deploying with --image."
+        )
+
+
 def _extract_deployment_url(deployment: dict[str, object]) -> str:
    source_config = deployment.get("source_config")
    if isinstance(source_config, dict):
@@ -525,12 +561,18 @@ def _secrets_from_env(

 def _resolve_build_mode(
    remote_build_flag: bool | None,
+    *,
+    force_local: bool = False,
 ) -> tuple[bool, str | None]:
    """Determine whether to use a remote build.

    Returns (use_remote_build, local_build_error).  Raises UsageError when
-    --no-remote is set but the machine cannot build locally.
+    --no-remote is set but the machine cannot build locally. When
+    `force_local` is set, the function short-circuits and always selects a
+    local build.
    """
+    if force_local:
+        return False, None
    local_build_supported, local_build_error = can_build_locally()

    if remote_build_flag is True:
@@ -897,6 +939,7 @@ def _run_local_build(
    api_version: str | None,
    base_image: str | None,
    image_name: str | None,
+    prebuilt_image: str | None,
    name: str | None,
    tag: str,
    install_command: str | None,
@@ -910,51 +953,57 @@ def _run_local_build(
    # (e.g. Apple Silicon). On amd64 hosts, plain docker build is sufficient.
    needs_buildx = platform.machine() != "x86_64"
    local_tag = f"langgraph-deploy-tmp:{int(time.time())}"
+    image_to_push = prebuilt_image or local_tag

    with Runner() as runner:
-        # -- Step: Build image --
-        _log_deploy_step(step, "Building image")
-        if needs_buildx:
-            build_flags: list[str] = [
-                "--platform",
-                "linux/amd64",
-                "--load",
-            ]
-            if not verbose:
-                build_flags.append("--progress=quiet")
-            with Progress(message="Building...", elapsed=not verbose):
-                build_docker_image(
-                    runner,
-                    lambda _msg: None,
-                    config,
-                    config_json,
-                    base_image,
-                    api_version,
-                    pull,
-                    local_tag,
-                    docker_build_args,
-                    install_command,
-                    build_command,
-                    docker_command=("docker", "buildx", "build"),
-                    extra_flags=build_flags,
-                    verbose=verbose,
-                )
+        if prebuilt_image:
+            _log_deploy_step(step, f"Validating image {prebuilt_image}")
+            _validate_prebuilt_image(runner, prebuilt_image, verbose=verbose)
+            click.secho("   Image is available for linux/amd64", fg="green")
        else:
-            with Progress(message="Building...", elapsed=not verbose):
-                build_docker_image(
-                    runner,
-                    lambda _msg: None,
-                    config,
-                    config_json,
-                    base_image,
-                    api_version,
-                    pull,
-                    local_tag,
-                    docker_build_args,
-                    install_command,
-                    build_command,
-                    verbose=verbose,
-                )
+            # -- Step: Build image --
+            _log_deploy_step(step, "Building image")
+            if needs_buildx:
+                build_flags: list[str] = [
+                    "--platform",
+                    "linux/amd64",
+                    "--load",
+                ]
+                if not verbose:
+                    build_flags.append("--progress=quiet")
+                with Progress(message="Building...", elapsed=not verbose):
+                    build_docker_image(
+                        runner,
+                        lambda _msg: None,
+                        config,
+                        config_json,
+                        base_image,
+                        api_version,
+                        pull,
+                        local_tag,
+                        docker_build_args,
+                        install_command,
+                        build_command,
+                        docker_command=("docker", "buildx", "build"),
+                        extra_flags=build_flags,
+                        verbose=verbose,
+                    )
+            else:
+                with Progress(message="Building...", elapsed=not verbose):
+                    build_docker_image(
+                        runner,
+                        lambda _msg: None,
+                        config,
+                        config_json,
+                        base_image,
+                        api_version,
+                        pull,
+                        local_tag,
+                        docker_build_args,
+                        install_command,
+                        build_command,
+                        verbose=verbose,
+                    )
        step += 1

        # -- Step: Get push token and authenticate --
@@ -1023,7 +1072,7 @@ def _run_local_build(
                subp_exec(
                    "docker",
                    "tag",
-                    local_tag,
+                    image_to_push,
                    remote_image,
                    verbose=verbose,
                )
@@ -1423,6 +1472,13 @@ def _deploy_base_options(
                show_default=True,
                help="Tag to use for the pushed deployment image.",
            ),
+            click.option(
+                "--image",
+                help=(
+                    "Use an existing local image reference (e.g. repo:tag) and "
+                    "skip building. The image must target linux/amd64."
+                ),
+            ),
            click.option(
                "--config",
                "-c",
@@ -1523,6 +1579,7 @@ def _deploy_cmd(
    deployment_type: str,
    name: str | None,
    image_name: str | None,
+    image: str | None,
    tag: str,
    base_image: str | None,
    install_command: str | None,
@@ -1569,7 +1626,12 @@ def _deploy_cmd(

    secrets = _secrets_from_env(_env_without_deployment_name(env_vars))

-    use_remote_build, local_build_error = _resolve_build_mode(remote_build_flag)
+    if image and remote_build_flag is True:
+        raise click.UsageError("--image cannot be combined with --remote builds.")
+
+    use_remote_build, local_build_error = _resolve_build_mode(
+        remote_build_flag, force_local=image is not None
+    )
    if use_remote_build and remote_build_flag is None and local_build_error:
        em.note(f"{local_build_error}\nUsing remote build instead.")
        if not json_output:
@@ -1639,6 +1701,7 @@ def _deploy_cmd(
            api_version=api_version,
            base_image=base_image,
            image_name=image_name,
+            prebuilt_image=image,
            name=name,
            tag=tag,
            install_command=install_command,
@@ -23,7 +23,7 @@ dependencies = [
 path = "langgraph_cli/__init__.py"
 [project.optional-dependencies]
 inmem = [
-    "langgraph-api>=0.5.35,<0.12.0a0 ; python_version >= '3.11'",
+    "langgraph-api>=0.5.35,<0.12.0 ; python_version >= '3.11'",
    "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
 ]

@@ -2961,6 +2961,163 @@ def test_docker_tag_with_prerelease_api_version(version: str, in_config: bool):
    assert tag == f"langchain/langgraph-api:{version}-py3.11"


+def test_docker_tag_with_compatible_api_version_promotes_to_latest_patch():
+    config = validate_config(
+        {
+            "python_version": "3.12",
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+            "image_distro": "wolfi",
+            "api_version": "~=0.11.0.dev5",
+        }
+    )
+
+    with patch(
+        "langgraph_cli.config._get_pypi_versions",
+        return_value=[
+            "0.11.0.dev5",
+            "0.11.0.dev6",
+            "0.11.0rc1",
+            "0.11.0",
+            "0.11.1rc1",
+            "0.11.1",
+            "0.12.0rc1",
+        ],
+    ) as get_versions:
+        tag = docker_tag(config)
+
+    get_versions.assert_called_once_with("langgraph-api")
+    assert tag == "langchain/langgraph-api:0.11.1-py3.12-wolfi"
+
+
+def test_docker_tag_with_compatible_api_version_freezes_dev_until_rc():
+    config = validate_config(
+        {
+            "python_version": "3.12",
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+            "api_version": "~=0.11.0.dev5",
+        }
+    )
+
+    with patch(
+        "langgraph_cli.config._get_pypi_versions",
+        return_value=[
+            "0.11.0.dev5",
+            "0.11.0.dev6",
+            "0.11.0.dev7",
+        ],
+    ):
+        tag = docker_tag(config)
+
+    assert tag == "langchain/langgraph-api:0.11.0.dev5-py3.12"
+
+
+def test_docker_tag_with_stable_floating_api_version_promotes_to_future_stable():
+    config = validate_config(
+        {
+            "python_version": "3.12",
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+            "image_distro": "wolfi",
+            "api_version": ">~=0.11.0.dev5",
+        }
+    )
+
+    with patch(
+        "langgraph_cli.config._get_pypi_versions",
+        return_value=[
+            "0.11.0.dev5",
+            "0.11.0.dev6",
+            "0.11.0rc1",
+            "0.11.0",
+            "0.11.1",
+            "0.12.0rc1",
+            "0.12.0",
+            "0.13.0.dev1",
+            "0.13.0",
+        ],
+    ) as get_versions:
+        tag = docker_tag(config)
+
+    get_versions.assert_called_once_with("langgraph-api")
+    assert tag == "langchain/langgraph-api:0.13.0-py3.12-wolfi"
+
+
+def test_docker_tag_with_stable_floating_api_version_ignores_future_prereleases():
+    config = validate_config(
+        {
+            "python_version": "3.12",
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+            "api_version": ">~=0.11.0.dev5",
+        }
+    )
+
+    with patch(
+        "langgraph_cli.config._get_pypi_versions",
+        return_value=[
+            "0.11.0.dev5",
+            "0.11.0",
+            "0.12.0rc1",
+            "0.12.0.dev1",
+        ],
+    ):
+        tag = docker_tag(config)
+
+    assert tag == "langchain/langgraph-api:0.11.0-py3.12"
+
+
+def test_validate_config_rejects_unrecognized_api_version_range_operator():
+    with pytest.raises(click.UsageError, match="Invalid version format"):
+        validate_config(
+            {
+                "python_version": "3.12",
+                "dependencies": ["."],
+                "graphs": {"agent": "./agent.py:graph"},
+                "api_version": "~>=0.11.0.dev5",
+            }
+        )
+
+
+def test_docker_tag_with_compatible_api_version_supports_node_images():
+    config = validate_config(
+        {
+            "node_version": "20",
+            "graphs": {"agent": "./agent.js:graph"},
+            "image_distro": "wolfi",
+            "api_version": "~=1.2.4",
+        }
+    )
+
+    with patch(
+        "langgraph_cli.config._get_pypi_versions",
+        return_value=[
+            "1.2.4",
+            "1.2.5",
+            "1.3.0",
+        ],
+    ) as get_versions:
+        tag = docker_tag(config)
+
+    get_versions.assert_called_once_with("langgraph-api")
+    assert tag == "langchain/langgraphjs-api:1.2.5-node20-wolfi"
+
+
+def test_docker_tag_with_compatible_api_version_rejects_tagged_base_image():
+    config = validate_config(
+        {
+            "python_version": "3.11",
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+            "api_version": "~=0.11.0.dev5",
+        }
+    )
+
+    with pytest.raises(click.UsageError, match="tagged base_image"):
+        docker_tag(config, base_image="langchain/langgraph-api:0.11.0")
+
+
 def test_config_to_docker_with_api_version():
    """Test config_to_docker function with api_version parameter."""

@@ -1,3 +1,4 @@
+import asyncio
 import base64
 import io
 import json
@@ -6,9 +7,11 @@ import sys
 from unittest.mock import MagicMock

 import click
+import click.exceptions
 import httpx
 import pytest

+import langgraph_cli.deploy as deploy_mod
 from langgraph_cli.deploy import (
    _call_host_backend_with_optional_tenant,
    _create_host_backend_client,
@@ -19,6 +22,7 @@ from langgraph_cli.deploy import (
    _resolve_env_path,
    _resolve_pushed_image_digest,
    _smith_dashboard_base_url,
+    _validate_prebuilt_image,
    normalize_image_tag,
    normalize_name,
 )
@@ -95,6 +99,65 @@ class TestNormalizeImageTag:
            normalize_image_tag("has space")


+class _FakeRunner:
+    def run(self, coro):
+        return asyncio.run(coro)
+
+
+class TestValidatePrebuiltImage:
+    def test_accepts_linux_amd64(self, monkeypatch):
+        calls = []
+
+        async def fake_subp_exec(*args, **kwargs):
+            calls.append((args, kwargs))
+            return "linux/amd64\n", None
+
+        monkeypatch.setattr(deploy_mod, "subp_exec", fake_subp_exec)
+
+        _validate_prebuilt_image(_FakeRunner(), "repo/app:tag", verbose=False)
+
+        assert calls == [
+            (
+                (
+                    "docker",
+                    "image",
+                    "inspect",
+                    "--format",
+                    "{{.Os}}/{{.Architecture}}",
+                    "repo/app:tag",
+                ),
+                {"verbose": False, "collect": True},
+            )
+        ]
+
+    def test_missing_docker_binary_raises_actionable_error(self, monkeypatch):
+        async def fake_subp_exec(*args, **kwargs):
+            raise FileNotFoundError("docker")
+
+        monkeypatch.setattr(deploy_mod, "subp_exec", fake_subp_exec)
+
+        with pytest.raises(click.ClickException, match="Docker is required"):
+            _validate_prebuilt_image(_FakeRunner(), "repo/app:tag", verbose=False)
+
+    def test_missing_image_raises_actionable_error(self, monkeypatch):
+        async def fake_subp_exec(*args, **kwargs):
+            raise click.exceptions.Exit(1)
+
+        monkeypatch.setattr(deploy_mod, "subp_exec", fake_subp_exec)
+
+        with pytest.raises(click.ClickException, match="not found locally"):
+            _validate_prebuilt_image(_FakeRunner(), "missing:tag", verbose=False)
+
+    def test_rejects_non_amd64_platform(self, monkeypatch):
+        async def fake_subp_exec(*args, **kwargs):
+            return "linux/arm64\n", None
+
+        monkeypatch.setattr(deploy_mod, "subp_exec", fake_subp_exec)
+
+        with pytest.raises(click.ClickException, match="requires linux/amd64"):
+            _validate_prebuilt_image(_FakeRunner(), "repo/app:arm", verbose=False)
+
+
 class TestParseEnvFromConfig:
    def test_env_dict(self, tmp_path):
        config_path = tmp_path / "langgraph.json"
@@ -237,14 +237,14 @@ wheels = [

 [[package]]
 name = "langchain-protocol"
-version = "0.0.15"
+version = "0.0.17"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/4f/24/9777489d6fbbee64af0c8f96d4f840239c408cf694f3394672807dafc490/langchain_protocol-0.0.15.tar.gz", hash = "sha256:9ab2d11ee73944754f10e037e717098d3a6796f0e58afa9cadda6154e7655ade", size = 5862, upload-time = "2026-05-01T22:30:04.748Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/44/b3/4e2429876c7a35585618caa2b9f9089f7162a6b50562b614ad82ac11c17e/langchain_protocol-0.0.17.tar.gz", hash = "sha256:e7cbe58c205df4b4fd87dc6d5bb23f10e13b236d0e2e1b0b9d05bc2b648f3eea", size = 6026, upload-time = "2026-06-12T18:39:51.923Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/1d/7a/9c97a7b9cbe4c5dc6a44cdb1545450c28f0c8ce89b9c1f0ee7fbad896263/langchain_protocol-0.0.15-py3-none-any.whl", hash = "sha256:461eb794358f83d5e42635a5797799ffec7b4702314e34edf73ac21e75d3ef79", size = 6982, upload-time = "2026-05-01T22:30:03.877Z" },
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 [[package]]
 name = "langsmith"
-version = "0.8.0"
+version = "0.8.18"
 source = { registry = "https://pypi.org/simple" }
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    { name = "requests-toolbelt", marker = "python_full_version >= '3.11'" },
    { name = "uuid-utils", marker = "python_full_version >= '3.11'" },
+    { name = "websockets", marker = "python_full_version >= '3.11'" },
    { name = "xxhash", marker = "python_full_version >= '3.11'" },
    { name = "zstandard", marker = "python_full_version >= '3.11'" },
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 [package.optional-dependencies]
@@ -1730,11 +1733,11 @@ wheels = [

 [[package]]
 name = "pyjwt"
-version = "2.12.1"
+version = "2.13.0"
 source = { registry = "https://pypi.org/simple" }
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 [[package]]
@@ -2029,15 +2032,15 @@ wheels = [

 [[package]]
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+version = "1.3.1"
 source = { registry = "https://pypi.org/simple" }
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 [[package]]
@@ -1,100 +1,45 @@
-<div align="center">
-  <a href="https://www.langchain.com/langgraph">
-    <picture>
-      <source media="(prefers-color-scheme: dark)" srcset="../../.github/images/logo-dark.svg">
-      <source media="(prefers-color-scheme: light)" srcset="../../.github/images/logo-light.svg">
-      <img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
-    </picture>
-  </a>
-</div>
+# 🦜🕸️ LangGraph

-<div align="center">
-  <h3>Low-level orchestration framework for building stateful agents.</h3>
-</div>
+[![PyPI - Version](https://img.shields.io/pypi/v/langgraph?label=%20)](https://pypi.org/project/langgraph/#history)
+[![PyPI - License](https://img.shields.io/pypi/l/langgraph)](https://opensource.org/licenses/MIT)
+[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph)](https://pypistats.org/packages/langgraph)
+[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
+[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)

-<div align="center">
-  <a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
-  <a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
-  <a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
-  <a href="https://github.com/langchain-ai/langgraph/issues" target="_blank"><img src="https://img.shields.io/github/issues-raw/langchain-ai/langgraph" alt="Open Issues"></a>
-  <a href="https://docs.langchain.com/oss/python/langgraph/overview" target="_blank"><img src="https://img.shields.io/badge/docs-latest-blue" alt="Docs"></a>
-  <a href="https://x.com/langchain_oss" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
-</div>
+Looking for the JS/TS version? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs).

-<br>
+To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
+[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.

-Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
+## Quick Install

-## Get started
-
-Install LangGraph:
-
-```
-pip install -U langgraph
+```bash
+uv add langgraph
 ```

-Create a simple workflow:
+## 🤔 What is this?

-```python
-from langgraph.graph import START, StateGraph
-from typing_extensions import TypedDict
+LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. LangGraph provides the infrastructure for durable execution, streaming, human-in-the-loop, persistence, memory, and more.

+We recommend you use LangGraph when you have advanced needs that require a combination of deterministic and agentic workflows, heavy customization, and carefully controlled latency. Use [LangChain](https://docs.langchain.com/oss/python/langchain/overview) when you want to quickly build agents and applications powered by LLMs using pre-built agent architectures and model integrations.

-class State(TypedDict):
-    text: str
+LangChain [agents](https://docs.langchain.com/oss/python/langchain/agents) are built on top of LangGraph in order to provide durable execution, streaming, human-in-the-loop, persistence, and more. (You do not need to know LangGraph for basic LangChain agent usage.)

+Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is used to ship AI applications at scale.

-def node_a(state: State) -> dict:
-    return {"text": state["text"] + "a"}
+## 📖 Documentation

+For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph/). For conceptual guides, tutorials, and examples on using LangGraph, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview). Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).

-def node_b(state: State) -> dict:
-    return {"text": state["text"] + "b"}
+## 📕 Releases & Versioning

+See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.

-graph = StateGraph(State)
-graph.add_node("node_a", node_a)
-graph.add_node("node_b", node_b)
-graph.add_edge(START, "node_a")
-graph.add_edge("node_a", "node_b")
+## 💁 Contributing

-print(graph.compile().invoke({"text": ""}))
-# {'text': 'ab'}
-```
+As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

-Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
-
-To quickly build agents with LangChain's `create_agent` (built on LangGraph), see the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
-
-## Core benefits
-
-LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent. LangGraph does not abstract prompts or architecture, and provides the following central benefits:
-
- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
- [Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts): Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
- [Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory): Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
- [Debugging with LangSmith](http://www.langchain.com/langsmith): Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
- [Production-ready deployment](https://docs.langchain.com/langsmith/app-development): Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
-
-## LangGraph’s ecosystem
-
-While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
-
- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://docs.langchain.com/oss/python/langgraph/studio).
- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
-
-> [!NOTE]
-> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
-
-## Additional resources
-
- [Guides](https://docs.langchain.com/oss/python/langgraph/guides): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
- [Reference](https://reference.langchain.com/python/langgraph/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
- [Examples](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Guided examples on getting started with LangGraph.
- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
- [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
- [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
+For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

 ## Acknowledgements

@@ -20,6 +20,7 @@ from langchain_core.runnables.config import (
 from langgraph.checkpoint.base import CheckpointMetadata

 from langgraph._internal._constants import (
+    _CHECKPOINT_COORDINATE_KEYS,
    CONF,
    CONFIG_KEY_CHECKPOINT_ID,
    CONFIG_KEY_CHECKPOINT_MAP,
@@ -342,6 +343,28 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
                if _is_not_empty(v)
            },
        )
+    # An explicit config that supplies its own checkpoint coordinate (a
+    # thread_id, or any checkpoint_ns/checkpoint_id/checkpoint_map) is addressing
+    # its own checkpoint lineage, so drop the inherited ambient configurable
+    # rather than merging over it: a child graph invoked inside a parent node
+    # would otherwise write its checkpoints under the parent's namespace and
+    # never find them again. An explicit thread_id resets even when it equals the
+    # ambient one, since a child reusing the parent's thread id still addresses
+    # its own root namespace, not the parent task's. Configs that only refine
+    # other keys keep the ambient and shallow-merge over it below.
+    if empty.get(CONF):
+        for config in configs:
+            if config is None:
+                continue
+            explicit_configurable = config.get(CONF)
+            if not explicit_configurable:
+                continue
+            if any(
+                _is_not_empty(explicit_configurable.get(k))
+                for k in _CHECKPOINT_COORDINATE_KEYS
+            ):
+                empty[CONF] = {}
+                break
    for config in configs:
        if config is None:
            continue
@@ -95,6 +95,15 @@ NULL_TASK_ID = sys.intern("00000000-0000-0000-0000-000000000000")
 OVERWRITE = sys.intern("__overwrite__")
 # dict key for the overwrite value, used as `{'__overwrite__': value}`

+# Checkpoint coordinate keys: when any of these appear in an explicit
+# configurable, the caller is addressing its own checkpoint lineage.
+_CHECKPOINT_COORDINATE_KEYS = (
+    CONFIG_KEY_THREAD_ID,
+    CONFIG_KEY_CHECKPOINT_NS,
+    CONFIG_KEY_CHECKPOINT_ID,
+    CONFIG_KEY_CHECKPOINT_MAP,
+)
+
 # redefined to avoid circular import with langgraph.constants
 _TAG_HIDDEN = sys.intern("langsmith:hidden")

@@ -1,5 +1,6 @@
 from __future__ import annotations

+import uuid
 from collections.abc import Callable, Mapping
 from datetime import datetime, timezone
 from typing import Any, cast
@@ -34,6 +35,17 @@ def empty_checkpoint() -> Checkpoint:
    )


+def exit_delta_task_id(step: int, task_id: str) -> str:
+    """Synthetic task id for exit-mode DeltaChannel writes.
+
+    Embeds the superstep in the first UUID group so `ORDER BY task_id, idx`
+    preserves chronological order while remaining a valid RFC UUID (required by
+    Postgres `checkpoint_writes.task_id uuid` columns).
+    """
+    parts = str(uuid.UUID(task_id)).split("-")
+    return f"{step:08d}-{parts[1]}-{parts[2]}-{parts[3]}-{parts[4]}"
+
+
 def delta_channels_to_snapshot(
    channels: Mapping[str, BaseChannel],
    counters_since_delta_snapshot: Mapping[str, tuple[int, int]],
@@ -58,6 +70,42 @@ def delta_channels_to_snapshot(
    return result


+def advance_delta_counters(
+    channels: Mapping[str, BaseChannel],
+    prev_metadata: Mapping[str, Any] | None,
+    updated_channels: set[str] | None,
+) -> tuple[dict[str, tuple[int, int]], set[str]]:
+    """Advance per-delta-channel `(updates, supersteps)` counters one step.
+
+    Mirrors the counter bookkeeping in `PregelLoop._put_checkpoint`: every
+    superstep bumps `supersteps` for all delta channels and `updates` for
+    those written this step, then channels that hit their snapshot cadence
+    are reset to `(0, 0)`.
+
+    Used by `update_state` (which creates a delta checkpoint outside the
+    main loop) so the written checkpoint carries a correct
+    `counters_since_delta_snapshot` — without it, the supersteps-based
+    `get_delta_channel_history` walk can't locate the seed. Returns
+    `(new_counters, channels_to_snapshot)`; callers drop `(0, 0)` entries
+    before writing the metadata field.
+    """
+    prev = dict((prev_metadata or {}).get("counters_since_delta_snapshot") or {})
+    updated = updated_channels or set()
+    new_counters: dict[str, tuple[int, int]] = {}
+    for name, ch in channels.items():
+        if not isinstance(ch, DeltaChannel):
+            continue
+        u, s = prev.get(name, (0, 0))
+        s += 1
+        if name in updated:
+            u += 1
+        new_counters[name] = (u, s)
+    channels_to_snapshot = delta_channels_to_snapshot(channels, new_counters)
+    for k in channels_to_snapshot:
+        new_counters[k] = (0, 0)
+    return new_counters, channels_to_snapshot
+
+
 def create_checkpoint(
    checkpoint: Checkpoint,
    channels: Mapping[str, BaseChannel] | None,
@@ -102,6 +102,7 @@ from langgraph.pregel._checkpoint import (
    create_checkpoint,
    delta_channels_to_snapshot,
    empty_checkpoint,
+    exit_delta_task_id,
 )
 from langgraph.pregel._executor import (
    AsyncBackgroundExecutor,
@@ -1272,7 +1273,7 @@ class PregelLoop:
            },
        )
        for (step, tid), entries in grouped.items():
-            synth_tid = f"{step:08d}-{tid}"
+            synth_tid = exit_delta_task_id(step, tid)
            if self.checkpointer_put_writes_accepts_task_path:
                fut = self.submit(
                    self.checkpointer_put_writes,
@@ -130,6 +130,7 @@ from langgraph.pregel._algo import (
 from langgraph.pregel._call import identifier
 from langgraph.pregel._checkpoint import (
    achannels_from_checkpoint,
+    advance_delta_counters,
    channels_from_checkpoint,
    copy_checkpoint,
    create_checkpoint,
@@ -2032,15 +2033,40 @@ class Pregel(
                checkpointer.get_next_version,
                self.trigger_to_nodes,
            )
-            checkpoint = create_checkpoint(checkpoint, channels, step + 1)
+            # Advance delta-channel snapshot counters for this manual super-
+            # step so the written checkpoint carries a correct
+            # `counters_since_delta_snapshot` (mirrors the main loop). Without
+            # it, the supersteps-based delta history walk can't find the seed.
+            updated_channel_names = {
+                c for task in run_tasks for c, _ in task.writes if c != PUSH
+            }
+            new_counters, channels_to_snapshot = advance_delta_counters(
+                channels,
+                saved.metadata if saved else None,
+                updated_channel_names,
+            )
+            # Keep `updated_channels` at its default (None) — matching the
+            # historical checkpoint shape here — so resume/trigger semantics
+            # (e.g. deferred nodes) are unaffected. `get_next_version` /
+            # `channels_to_snapshot` are no-ops unless a delta channel snapshots.
+            checkpoint = create_checkpoint(
+                checkpoint,
+                channels,
+                step + 1,
+                get_next_version=checkpointer.get_next_version,
+                channels_to_snapshot=channels_to_snapshot,
+            )
+            update_metadata: dict[str, Any] = {
+                "source": "update",
+                "step": step + 1,
+                "parents": saved.metadata.get("parents", {}) if saved else {},
+            }
+            if non_zero := {k: v for k, v in new_counters.items() if v != (0, 0)}:
+                update_metadata["counters_since_delta_snapshot"] = non_zero
            next_config = checkpointer.put(
                checkpoint_config,
                checkpoint,
-                {
-                    "source": "update",
-                    "step": step + 1,
-                    "parents": saved.metadata.get("parents", {}) if saved else {},
-                },
+                update_metadata,
                get_new_channel_versions(
                    checkpoint_previous_versions, checkpoint["channel_versions"]
                ),
@@ -2500,16 +2526,41 @@ class Pregel(
                checkpointer.get_next_version,
                self.trigger_to_nodes,
            )
-            checkpoint = create_checkpoint(checkpoint, channels, step + 1)
+            # Advance delta-channel snapshot counters for this manual super-
+            # step so the written checkpoint carries a correct
+            # `counters_since_delta_snapshot` (mirrors the main loop). Without
+            # it, the supersteps-based delta history walk can't find the seed.
+            updated_channel_names = {
+                c for task in run_tasks for c, _ in task.writes if c != PUSH
+            }
+            new_counters, channels_to_snapshot = advance_delta_counters(
+                channels,
+                saved.metadata if saved else None,
+                updated_channel_names,
+            )
+            # Keep `updated_channels` at its default (None) — matching the
+            # historical checkpoint shape here — so resume/trigger semantics
+            # (e.g. deferred nodes) are unaffected. `get_next_version` /
+            # `channels_to_snapshot` are no-ops unless a delta channel snapshots.
+            checkpoint = create_checkpoint(
+                checkpoint,
+                channels,
+                step + 1,
+                get_next_version=checkpointer.get_next_version,
+                channels_to_snapshot=channels_to_snapshot,
+            )
+            update_metadata: dict[str, Any] = {
+                "source": "update",
+                "step": step + 1,
+                "parents": saved.metadata.get("parents", {}) if saved else {},
+            }
+            if non_zero := {k: v for k, v in new_counters.items() if v != (0, 0)}:
+                update_metadata["counters_since_delta_snapshot"] = non_zero
            # save checkpoint, after applying writes
            next_config = await checkpointer.aput(
                checkpoint_config,
                checkpoint,
-                {
-                    "source": "update",
-                    "step": step + 1,
-                    "parents": saved.metadata.get("parents", {}) if saved else {},
-                },
+                update_metadata,
                get_new_channel_versions(
                    checkpoint_previous_versions, checkpoint["channel_versions"]
                ),
@@ -132,13 +132,23 @@ class GraphRunStream:
    def abort(self) -> None:
        """Stop the run early.

-        Closes the mux and marks the stream exhausted. The graph
-        iterator is dropped; any in-flight nodes see the closure on
-        their next yield point. Idempotent.
+        Closes the underlying graph iterator (propagating `GeneratorExit`
+        so in-flight nodes and subgraphs are cancelled), closes the mux,
+        and marks the stream exhausted. Idempotent.
        """
        if self._exhausted:
            return
        self._exhausted = True
+        graph_iter = self._graph_iter
+        self._graph_iter = None
+        if (
+            graph_iter is not None
+            and (close := getattr(graph_iter, "close", None)) is not None
+        ):
+            try:
+                close()
+            except Exception:
+                pass
        try:
            self._mux.close()
        except Exception:
@@ -348,6 +358,8 @@ class AsyncGraphRunStream:
        self._scope_list: list[str] = list(mux.scope)
        self._pump_cond = asyncio.Condition()
        self._pumping = False
+        self._anext_task: asyncio.Future[Any] | None = None
+        self._aborting = False
        for key in mux.native_keys:
            setattr(self, key, mux.extensions[key])
        if wire_pump:
@@ -407,7 +419,25 @@ class AsyncGraphRunStream:

        try:
            try:
-                part = await self._graph_aiter.__anext__()
+                # Run the pull as a child task so `abort()` can cancel it
+                # mid-flight. Cancelling propagates `CancelledError` into the
+                # graph generator frame -> Pregel loop -> nested subgraph
+                # nodes, which a bare `aclose()` cannot do while the generator
+                # is running ("asynchronous generator is already running").
+                self._anext_task = asyncio.ensure_future(self._graph_aiter.__anext__())
+                try:
+                    part = await self._anext_task
+                except asyncio.CancelledError:
+                    if self._aborting:
+                        # Abort-initiated cancel: stop gracefully.
+                        self._exhausted = True
+                        return False
+                    # Genuine external cancel of this task: also stop the
+                    # in-flight pull, then propagate.
+                    self._anext_task.cancel()
+                    raise
+                finally:
+                    self._anext_task = None
                event = convert_to_protocol_event(part)
                self._observe_event(event)
                await self._mux.apush(event)
@@ -428,15 +458,40 @@ class AsyncGraphRunStream:
    async def abort(self) -> None:
        """Stop the run early.

-        Marks the stream exhausted, wakes any pump-waiters, and closes
-        the mux. Any `apush` blocked on backpressure wakes and returns
-        without appending. Idempotent.
+        Marks the stream exhausted and wakes any pump-waiters. Cancels an
+        in-flight pull if one is running, then closes the underlying graph
+        iterator, so running nodes and nested subgraphs are cancelled
+        whether or not a pump is mid-pull. Closes the mux; any `apush`
+        blocked on backpressure wakes and returns without appending.
+        Idempotent.
        """
        async with self._pump_cond:
            if self._exhausted:
                return
            self._exhausted = True
+            self._aborting = True
+            graph_aiter = self._graph_aiter
+            self._graph_aiter = None
+            anext_task = self._anext_task
            self._pump_cond.notify_all()
+        # If a pump is mid-pull, cancel it so the cancellation propagates
+        # into running nodes and nested subgraphs. Once it settles the
+        # generator is no longer running, so the `aclose()` below is a safe
+        # final cleanup (and handles the no-in-flight-pull case directly).
+        if anext_task is not None and not anext_task.done():
+            anext_task.cancel()
+            try:
+                await anext_task
+            except (asyncio.CancelledError, Exception):
+                pass
+        if (
+            graph_aiter is not None
+            and (aclose := getattr(graph_aiter, "aclose", None)) is not None
+        ):
+            try:
+                await aclose()
+            except Exception:
+                pass
        try:
            await self._mux.aclose()
        except Exception:
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph"
-version = "1.2.5"
+version = "1.2.6"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"
@@ -6,6 +6,7 @@ channel), lazy stub creation when no parent exists, and proper read-path
 reconstruction via ancestor walks.
 """

+import uuid
 from typing import Annotated, Any

 import pytest
@@ -17,10 +18,28 @@ from typing_extensions import TypedDict
 from langgraph.channels.delta import DeltaChannel
 from langgraph.graph import START, StateGraph
 from langgraph.graph.message import _messages_delta_reducer
+from langgraph.pregel._checkpoint import exit_delta_task_id

 pytestmark = pytest.mark.anyio


+def test_exit_delta_task_id_is_valid_uuid_and_ordered() -> None:
+    """Exit-mode synthetic task ids must parse as UUID and sort by superstep."""
+    tid = "4f7226e4-0270-bf16-1ef8-fb321bef9f3d"
+    id1 = exit_delta_task_id(1, tid)
+    id7 = exit_delta_task_id(7, tid)
+
+    uuid.UUID(id1)
+    uuid.UUID(id7)
+    assert id1 < id7
+    assert id1.split("-")[0] == "00000001"
+    assert id7.split("-")[0] == "00000007"
+    assert id1.endswith("-0270-bf16-1ef8-fb321bef9f3d")
+
+    with pytest.raises(ValueError):
+        uuid.UUID(f"00000001-{tid}")
+
+
 def _build_graph(
    checkpointer: InMemorySaver,
    *,
@@ -2755,23 +2755,26 @@ def test_in_one_fan_out_state_graph_waiting_edge_plus_regular(
        "answer": "doc1,doc2,doc3,doc4",
    }

-    assert [*app.stream({"query": "what is weather in sf"})] in (
-        [
-            {"rewrite_query": {"query": "query: what is weather in sf"}},
-            {"qa": {"answer": ""}},
-            {"analyzer_one": {"query": "analyzed: query: what is weather in sf"}},
-            {"retriever_two": {"docs": ["doc3", "doc4"]}},
-            {"retriever_one": {"docs": ["doc1", "doc2"]}},
-            {"qa": {"answer": "doc1,doc2,doc3,doc4"}},
-        ],
-        [
-            {"rewrite_query": {"query": "query: what is weather in sf"}},
-            {"analyzer_one": {"query": "analyzed: query: what is weather in sf"}},
-            {"qa": {"answer": ""}},
-            {"retriever_two": {"docs": ["doc3", "doc4"]}},
-            {"retriever_one": {"docs": ["doc1", "doc2"]}},
-            {"qa": {"answer": "doc1,doc2,doc3,doc4"}},
-        ],
+    rewrite = {"rewrite_query": {"query": "query: what is weather in sf"}}
+    analyzer = {"analyzer_one": {"query": "analyzed: query: what is weather in sf"}}
+    empty_qa = {"qa": {"answer": ""}}
+    retriever_one_result = {"retriever_one": {"docs": ["doc1", "doc2"]}}
+    retriever_two_result = {"retriever_two": {"docs": ["doc3", "doc4"]}}
+
+    def assert_valid_stream_order(
+        chunks: list[dict[str, Any]], terminal: dict[str, Any]
+    ) -> None:
+        assert chunks[0] == rewrite
+        assert chunks[-1] == terminal
+        middle = chunks[1:-1]
+        assert sorted(middle, key=repr) == sorted(
+            [empty_qa, analyzer, retriever_one_result, retriever_two_result], key=repr
+        )
+        assert middle.index(analyzer) < middle.index(retriever_one_result)
+
+    assert_valid_stream_order(
+        [*app.stream({"query": "what is weather in sf"})],
+        {"qa": {"answer": "doc1,doc2,doc3,doc4"}},
    )

    app_w_interrupt = workflow.compile(
@@ -2780,25 +2783,9 @@ def test_in_one_fan_out_state_graph_waiting_edge_plus_regular(
    )
    config = {"configurable": {"thread_id": "1"}}

-    assert [
-        c for c in app_w_interrupt.stream({"query": "what is weather in sf"}, config)
-    ] in (
-        [
-            {"rewrite_query": {"query": "query: what is weather in sf"}},
-            {"qa": {"answer": ""}},
-            {"analyzer_one": {"query": "analyzed: query: what is weather in sf"}},
-            {"retriever_two": {"docs": ["doc3", "doc4"]}},
-            {"retriever_one": {"docs": ["doc1", "doc2"]}},
-            {"__interrupt__": ()},
-        ],
-        [
-            {"rewrite_query": {"query": "query: what is weather in sf"}},
-            {"analyzer_one": {"query": "analyzed: query: what is weather in sf"}},
-            {"qa": {"answer": ""}},
-            {"retriever_two": {"docs": ["doc3", "doc4"]}},
-            {"retriever_one": {"docs": ["doc1", "doc2"]}},
-            {"__interrupt__": ()},
-        ],
+    assert_valid_stream_order(
+        [c for c in app_w_interrupt.stream({"query": "what is weather in sf"}, config)],
+        {"__interrupt__": ()},
    )

    assert [c for c in app_w_interrupt.stream(None, config)] == [
@@ -6291,14 +6278,15 @@ def test_sync_streaming_with_functional_api() -> None:
    rather than have all the results arrive at once after the graph has completed.

    The time of arrival between the two updates corresponding to the two `slow` tasks
-    should be greater than the time delay between the two tasks.
+    should be roughly the task delay. If results are buffered until graph completion,
+    the two updates arrive back-to-back instead.
    """

    time_delay = 0.05

    @task()
    def slow() -> dict:
-        time.sleep(time_delay)  # Simulate a delay of 10 ms
+        time.sleep(time_delay)
        return {"tic": time.monotonic()}

    @entrypoint()
@@ -6316,8 +6304,9 @@ def test_sync_streaming_with_functional_api() -> None:

    assert len(arrival_times) == 2
    delta = arrival_times[1] - arrival_times[0]
-    # Delta cannot be less than 10 ms if it is streaming as results are generated.
-    assert delta > time_delay
+    # Allow a small amount of scheduler jitter while still verifying the chunks
+    # arrived separately rather than back-to-back after graph completion.
+    assert delta > time_delay * 0.8


 def test_entrypoint_without_checkpointer() -> None:
@@ -607,6 +607,164 @@ class TestStreamV2Async:
            _ = await anext(aiter(run.values))
        assert run._exhausted is True

+    async def test_abort_cancels_running_subgraph(self) -> None:
+        class CountState(TypedDict):
+            count: int
+
+        runs: list[int] = []
+
+        async def sub_node(state: CountState) -> dict:
+            runs.append(state["count"] + 1)
+            await asyncio.sleep(0.05)
+            return {"count": state["count"] + 1}
+
+        sub_graph = (
+            StateGraph(CountState)
+            .add_node("sub_node", sub_node)
+            .set_entry_point("sub_node")
+            .add_conditional_edges(
+                "sub_node",
+                lambda s: END if s["count"] >= 10 else "sub_node",
+            )
+            .compile()
+        )
+
+        async def main_node(state: CountState) -> None:
+            await sub_graph.ainvoke({"count": 0})
+
+        main_graph = (
+            StateGraph(CountState)
+            .add_node("main_node", main_node)
+            .set_entry_point("main_node")
+            .compile()
+        )
+
+        run = await main_graph.astream_events({"count": 0}, version="v3")
+        async for e in run:
+            if (
+                e["method"] == "values"
+                and e["params"]["namespace"]
+                and e["params"]["data"]["count"] >= 2
+            ):
+                break
+        await run.abort()
+        runs_at_abort = len(runs)
+        # Give the (now-cancelled) subgraph a chance to keep looping.
+        await asyncio.sleep(0.3)
+        assert len(runs) == runs_at_abort
+        assert len(runs) < 10
+
+    async def test_abort_cancels_deeply_nested_subgraph(self) -> None:
+        class CountState(TypedDict):
+            count: int
+
+        runs: list[int] = []
+
+        async def deep_node(state: CountState) -> dict:
+            runs.append(state["count"] + 1)
+            await asyncio.sleep(0.05)
+            return {"count": state["count"] + 1}
+
+        # Deepest graph loops until count >= 10.
+        graph = (
+            StateGraph(CountState)
+            .add_node("deep_node", deep_node)
+            .set_entry_point("deep_node")
+            .add_conditional_edges(
+                "deep_node",
+                lambda s: END if s["count"] >= 10 else "deep_node",
+            )
+            .compile()
+        )
+
+        # Wrap it three times: graph -> subgraph -> subgraph -> subgraph.
+        for _ in range(3):
+
+            async def caller(state: CountState, _child: Any = graph) -> dict:
+                return await _child.ainvoke({"count": 0})
+
+            graph = (
+                StateGraph(CountState)
+                .add_node("caller", caller)
+                .set_entry_point("caller")
+                .compile()
+            )
+
+        run = await graph.astream_events({"count": 0}, version="v3")
+        async for e in run:
+            if (
+                e["method"] == "values"
+                and e["params"]["namespace"]
+                and e["params"]["data"]["count"] >= 2
+            ):
+                break
+        await run.abort()
+        runs_at_abort = len(runs)
+        # Give the (now-cancelled) nested subgraph a chance to keep looping.
+        await asyncio.sleep(0.3)
+        assert len(runs) == runs_at_abort
+        assert len(runs) < 10
+
+    async def test_abort_cancels_subgraph_during_inflight_pump(self) -> None:
+        class CountState(TypedDict):
+            count: int
+
+        started = asyncio.Event()
+        cancelled = asyncio.Event()
+
+        async def sub_node(state: CountState) -> dict:
+            started.set()
+            try:
+                # Long-running node: still in flight when abort fires.
+                await asyncio.sleep(5)
+            except asyncio.CancelledError:
+                cancelled.set()
+                raise
+            return {"count": state["count"] + 1}
+
+        sub_graph = (
+            StateGraph(CountState)
+            .add_node("sub_node", sub_node)
+            .set_entry_point("sub_node")
+            .compile()
+        )
+
+        async def main_node(state: CountState) -> None:
+            await sub_graph.ainvoke({"count": 0})
+
+        main_graph = (
+            StateGraph(CountState)
+            .add_node("main_node", main_node)
+            .set_entry_point("main_node")
+            .compile()
+        )
+
+        run = await main_graph.astream_events({"count": 0}, version="v3")
+
+        # A consumer task drives the pump. Once the subgraph node is
+        # running, no further event is produced, so the consumer parks
+        # inside _apump_next awaiting graph_aiter.__anext__() — the
+        # generator is "running" and a plain aclose() would raise.
+        async def consume() -> None:
+            async for _e in run:
+                pass
+
+        consumer = asyncio.create_task(consume())
+        try:
+            await asyncio.wait_for(started.wait(), timeout=2.0)
+            # Let the consumer drain and park in __anext__.
+            await asyncio.sleep(0.05)
+            # Abort from a different task while the consumer is in __anext__.
+            await run.abort()
+            # The in-flight subgraph node must observe cancellation.
+            await asyncio.wait_for(cancelled.wait(), timeout=2.0)
+        finally:
+            consumer.cancel()
+            try:
+                await consumer
+            except asyncio.CancelledError:
+                pass
+
    async def test_extensions_has_native_keys(self) -> None:
        run = await _build_simple_graph().astream_events(
            {"value": "x", "items": []}, version="v3"
@@ -639,3 +639,49 @@ def test_stateful_namespace_isolation(
        "broccoli round 2",
        "Veggie: broccoli round 2",
    ]
+
+
+def test_child_with_own_thread_id_keeps_namespace(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """A child graph invoked from inside a parent node with its own thread_id
+    must store and read its checkpoint under its own namespace, not inherit the
+    parent task's checkpoint_ns.
+    """
+
+    class ChildState(TypedDict):
+        count: int
+
+    def child_node(state: ChildState) -> dict:
+        return {"count": (state.get("count") or 0) + 1}
+
+    child = (
+        StateGraph(ChildState)
+        .add_node("n", child_node)
+        .add_edge(START, "n")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    child_thread = str(uuid4())
+    child_config = {"configurable": {"thread_id": child_thread}}
+
+    def parent_node(state: ParentState) -> dict:
+        child.invoke({}, config=child_config)
+        return {"result": "ok"}
+
+    parent = (
+        StateGraph(ParentState)
+        .add_node("p", parent_node)
+        .add_edge(START, "p")
+        .compile(checkpointer=sync_checkpointer)
+    )
+    parent_config = {"configurable": {"thread_id": str(uuid4())}}
+
+    parent.invoke({"result": ""}, config=parent_config)
+    state1 = child.get_state(child_config)
+    assert state1.values.get("count") == 1
+    assert state1.config["configurable"]["checkpoint_ns"] == ""
+
+    parent.invoke({"result": ""}, config=parent_config)
+    state2 = child.get_state(child_config)
+    assert state2.values.get("count") == 2
@@ -660,3 +660,50 @@ async def test_stateful_namespace_isolation_async(
        "broccoli round 2",
        "Veggie: broccoli round 2",
    ]
+
+
+@NEEDS_CONTEXTVARS
+async def test_child_with_own_thread_id_keeps_namespace_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """A child graph invoked from inside a parent node with its own thread_id
+    must store and read its checkpoint under its own namespace, not inherit the
+    parent task's checkpoint_ns.
+    """
+
+    class ChildState(TypedDict):
+        count: int
+
+    def child_node(state: ChildState) -> dict:
+        return {"count": (state.get("count") or 0) + 1}
+
+    child = (
+        StateGraph(ChildState)
+        .add_node("n", child_node)
+        .add_edge(START, "n")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    child_thread = str(uuid4())
+    child_config = {"configurable": {"thread_id": child_thread}}
+
+    async def parent_node(state: ParentState) -> dict:
+        await child.ainvoke({}, config=child_config)
+        return {"result": "ok"}
+
+    parent = (
+        StateGraph(ParentState)
+        .add_node("p", parent_node)
+        .add_edge(START, "p")
+        .compile(checkpointer=async_checkpointer)
+    )
+    parent_config = {"configurable": {"thread_id": str(uuid4())}}
+
+    await parent.ainvoke({"result": ""}, config=parent_config)
+    state1 = await child.aget_state(child_config)
+    assert state1.values.get("count") == 1
+    assert state1.config["configurable"]["checkpoint_ns"] == ""
+
+    await parent.ainvoke({"result": ""}, config=parent_config)
+    state2 = await child.aget_state(child_config)
+    assert state2.values.get("count") == 2
@@ -506,6 +506,95 @@ def test_ensure_config_configurable_later_wins_per_key() -> None:
    assert merged["configurable"]["only_b"] == "B"


+def test_ensure_config_explicit_configurable_replaces_ambient() -> None:
+    # An explicit checkpoint coordinate (here a new thread_id) starts a fresh
+    # lineage and drops the ambient run context (e.g. a parent task's
+    # checkpoint_ns), so a child graph does not inherit it.
+    from langchain_core.runnables.config import var_child_runnable_config
+
+    token = var_child_runnable_config.set(
+        {"configurable": {"checkpoint_ns": "p:parent-task", "checkpoint_id": "cid"}}
+    )
+    try:
+        merged = ensure_config({"configurable": {"thread_id": "child"}})
+    finally:
+        var_child_runnable_config.reset(token)
+    assert merged["configurable"]["thread_id"] == "child"
+    assert "checkpoint_ns" not in merged["configurable"]
+    assert "checkpoint_id" not in merged["configurable"]
+
+
+def test_ensure_config_ambient_inherited_when_no_explicit_configurable() -> None:
+    # With no explicit configurable, the ambient run context is inherited
+    # unchanged (stateless subgraph / interrupt-resume pattern).
+    from langchain_core.runnables.config import var_child_runnable_config
+
+    token = var_child_runnable_config.set(
+        {"configurable": {"checkpoint_ns": "p:parent-task"}}
+    )
+    try:
+        merged = ensure_config({"tags": ["t"]})
+    finally:
+        var_child_runnable_config.reset(token)
+    assert merged["configurable"]["checkpoint_ns"] == "p:parent-task"
+
+
+def test_ensure_config_explicit_configurables_still_merge_over_ambient() -> None:
+    # A new thread_id drops the ambient, but explicit configs still shallow-merge
+    # among themselves, so a with_config(...) value (ls_agent_type) survives
+    # alongside an invoke-time thread_id.
+    from langchain_core.runnables.config import var_child_runnable_config
+
+    token = var_child_runnable_config.set(
+        {"configurable": {"checkpoint_ns": "p:parent-task"}}
+    )
+    try:
+        merged = ensure_config(
+            {"configurable": {"ls_agent_type": "root"}},
+            {"configurable": {"thread_id": "child"}},
+        )
+    finally:
+        var_child_runnable_config.reset(token)
+    assert merged["configurable"]["ls_agent_type"] == "root"
+    assert merged["configurable"]["thread_id"] == "child"
+    assert "checkpoint_ns" not in merged["configurable"]
+
+
+def test_ensure_config_non_coordinate_config_keeps_ambient_checkpoint_ns() -> None:
+    # A nested subagent is invoked with a non-coordinate configurable key
+    # (ls_agent_type) and no thread_id; it must keep the inherited checkpoint_ns
+    # so it stays a discoverable child of the parent run (deepagents `task` tool).
+    from langchain_core.runnables.config import var_child_runnable_config
+
+    token = var_child_runnable_config.set(
+        {"configurable": {"thread_id": "parent", "checkpoint_ns": "p:parent-task"}}
+    )
+    try:
+        merged = ensure_config({"configurable": {"ls_agent_type": "subagent"}})
+    finally:
+        var_child_runnable_config.reset(token)
+    assert merged["configurable"]["ls_agent_type"] == "subagent"
+    assert merged["configurable"]["checkpoint_ns"] == "p:parent-task"
+    assert merged["configurable"]["thread_id"] == "parent"
+
+
+def test_ensure_config_same_thread_id_still_clears_ambient() -> None:
+    # A child that reuses the parent's thread_id is still addressing its own root
+    # namespace on that thread, so the parent task's checkpoint_ns must not leak
+    # in; otherwise the child writes state that get_state cannot read back.
+    from langchain_core.runnables.config import var_child_runnable_config
+
+    token = var_child_runnable_config.set(
+        {"configurable": {"thread_id": "shared", "checkpoint_ns": "p:parent-task"}}
+    )
+    try:
+        merged = ensure_config({"configurable": {"thread_id": "shared"}})
+    finally:
+        var_child_runnable_config.reset(token)
+    assert merged["configurable"]["thread_id"] == "shared"
+    assert "checkpoint_ns" not in merged["configurable"]
+
+
 def test_ensure_config_merges_metadata_across_configs() -> None:
    a = {"metadata": {"user_id": "U1"}}
    b = {"metadata": {"correlation_id": "C1"}}
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 [[package]]
@@ -1,16 +1,36 @@
 # LangGraph Prebuilt

-This library defines high-level APIs for creating and executing LangGraph agents and tools.
+[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-prebuilt?label=%20)](https://pypi.org/project/langgraph-prebuilt/#history)
+[![PyPI - License](https://img.shields.io/pypi/l/langgraph-prebuilt)](https://opensource.org/licenses/MIT)
+[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-prebuilt)](https://pypistats.org/packages/langgraph-prebuilt)
+[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
+
+To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
+[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
+
+## Quick Install
+
+```bash
+uv add langgraph
+```
+
+## 🤔 What is this?
+
+This library defines high-level APIs for creating and executing LangGraph agents and tools. It includes prebuilt components such as `create_react_agent`, `ToolNode`, validation helpers, and Agent Inbox schemas.
+
+## 📖 Documentation
+
+For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.prebuilt/). For conceptual guides and tutorials, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).

 > [!IMPORTANT]
-> This library is meant to be bundled with `langgraph`, don't install it directly
+> This library is bundled with `langgraph`; most users should install `langgraph` instead of installing `langgraph-prebuilt` directly.

 ## Agents

-`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.chat_agent_executor.create_react_agent) of a tool-calling [ReAct-style](https://langchain-ai.github.io/langgraph/concepts/agentic_concepts/#react-implementation) agent - `create_react_agent`:
+`langgraph-prebuilt` provides an [implementation](https://reference.langchain.com/python/langgraph.prebuilt/chat_agent_executor/create_react_agent) of a tool-calling ReAct-style agent - `create_react_agent`:

 ```bash
-pip install langchain-anthropic
+uv add langchain-anthropic
 ```

 ```python
@@ -39,7 +59,7 @@ app.invoke(

 ### ToolNode

-`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.tool_node.ToolNode) of a node that executes tool calls - `ToolNode`:
+`langgraph-prebuilt` provides an [implementation](https://reference.langchain.com/python/langgraph.prebuilt/tool_node/ToolNode) of a node that executes tool calls - `ToolNode`:

 ```python
 from langgraph.prebuilt import ToolNode
@@ -61,7 +81,7 @@ tool_node.invoke({"messages": [ai_message]})

 ### ValidationNode

-`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.tool_validator.ValidationNode) of a node that validates tool calls against a pydantic schema - `ValidationNode`:
+`langgraph-prebuilt` provides an [implementation](https://reference.langchain.com/python/langgraph.prebuilt/tool_validator/ValidationNode) of a node that validates tool calls against a pydantic schema - `ValidationNode`:

 ```python
 from pydantic import BaseModel, field_validator
@@ -114,4 +134,14 @@ def my_graph_function():
    if response['type'] == "response":
        # Do something with the response
    ...
-```
+```
+
+## 📕 Releases & Versioning
+
+See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
+
+## 💁 Contributing
+
+As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
+
+For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
@@ -285,7 +285,7 @@ wheels = [

 [[package]]
 name = "langgraph"
-version = "1.2.5"
+version = "1.2.6"
 source = { editable = "../langgraph" }
 dependencies = [
    { name = "langchain-core" },
@@ -640,7 +640,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.8.0"
+version = "0.8.18"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -650,12 +650,13 @@ dependencies = [
    { name = "requests" },
    { name = "requests-toolbelt" },
    { name = "uuid-utils" },
+    { name = "websockets" },
    { name = "xxhash" },
    { name = "zstandard" },
 ]
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 ]

 [[package]]
@@ -1 +1,11 @@
-This repository has been moved to [langchain-ai/langgraphjs](https://github.com/langchain-ai/langgraphjs/tree/main/libs/sdk).
+# LangGraph JavaScript SDK
+
+Looking for the JS/TS version? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs).
+
+## 🤔 What is this?
+
+This package has moved to [langchain-ai/langgraphjs](https://github.com/langchain-ai/langgraphjs/tree/main/libs/sdk).
+
+## 📖 Documentation
+
+For JavaScript and TypeScript documentation, see the [LangGraph.js docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
@@ -1,17 +1,30 @@
 # LangGraph Python SDK

-This repository contains the Python SDK for interacting with the LangSmith Deployment REST API.
+[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-sdk?label=%20)](https://pypi.org/project/langgraph-sdk/#history)
+[![PyPI - License](https://img.shields.io/pypi/l/langgraph-sdk)](https://opensource.org/licenses/MIT)
+[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-sdk)](https://pypistats.org/packages/langgraph-sdk)
+[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)

-## Quick Start
+To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
+[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.

-To get started with the Python SDK, [install the package](https://pypi.org/project/langgraph-sdk/)
+## Quick Install

 ```bash
-pip install -U langgraph-sdk
+uv add langgraph-sdk
 ```

-You will need a running LangGraph API server. If you're running a server locally using `langgraph-cli`, SDK will automatically point at `http://localhost:8123`, otherwise
-you would need to specify the server URL when creating a client.
+## 🤔 What is this?
+
+This library provides the Python SDK for interacting with the LangGraph API. Use it to connect to a running LangGraph API server, manage assistants and threads, and stream runs from Python applications.
+
+You will need a running LangGraph API server. If you're running a server locally using `langgraph-cli`, the SDK will automatically point at `http://localhost:8123`; otherwise, specify the server URL when creating a client.
+
+## 📖 Documentation
+
+For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph-sdk/). For conceptual guides and tutorials, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
+
+## Quick Start

 ```python
 from langgraph_sdk import get_client
@@ -43,9 +56,7 @@ async for chunk in client.runs.stream(thread['thread_id'], agent['assistant_id']

 ## Thread-Centric Streaming (v3)

-`client.threads.stream()` returns a context manager that owns the SSE session for one
-thread. Typed projections — values snapshots, message streams, tool calls, custom
-events — all share the same underlying connection.
+`client.threads.stream()` returns a context manager that owns the SSE session for one thread. Typed projections — values snapshots, message streams, tool calls, custom events — all share the same underlying connection.

 ```python
 from langgraph_sdk import get_client
@@ -73,3 +84,13 @@ async with client.threads.stream(

    final = await thread.output           # terminal state values
 ```
+
+## 📕 Releases & Versioning
+
+See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
+
+## 💁 Contributing
+
+As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
+
+For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
@@ -298,7 +298,7 @@ wheels = [

 [[package]]
 name = "langgraph"
-version = "1.2.5"
+version = "1.2.6"
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 [[package]]