perf(sdk): lazy-load langgraph_sdk top-level exports

Converting __init__.py to use __getattr__ defers loading of Auth,
get_client/get_sync_client, Encryption, and EncryptionContext until
first access. This removes ~13ms from langgraph.runtime import time,
since importing BaseUser from langgraph_sdk.auth.types no longer
triggers the full client/auth/encryption module graph.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.github/workflows/_integration_test.yml

@@ -116,8 +116,8 @@ jobs:
           timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
           echo "Finished starting up langgraph-test-h"
           LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
-          if [ "$LANGGRAPH_VERSION" != "1.1.2" ]; then
-            echo "LANGGRAPH_VERSION != 1.1.2; $LANGGRAPH_VERSION"
+          if [ "$LANGGRAPH_VERSION" != "1.1.5" ]; then
+            echo "LANGGRAPH_VERSION != 1.1.5; $LANGGRAPH_VERSION"
             exit 1
           fi
           LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
@@ -136,3 +136,33 @@ jobs:
         working-directory: libs/cli/examples/graph_prerelease_reqs_fail
         run: |
           langgraph build -t langgraph-test-i || [ $? -eq 1 ]
+
+      - name: Build uv simple service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
+        working-directory: libs/cli/uv-examples/simple
+        run: |
+          langgraph build -t langgraph-test-uv-simple
+      - name: Test uv simple service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
+        working-directory: libs/cli/uv-examples/simple
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+        run: |
+          cp .env.example .env
+          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
+          timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-simple
+
+      - name: Build uv monorepo service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
+        working-directory: libs/cli/uv-examples/monorepo/apps/agent
+        run: |
+          langgraph build -t langgraph-test-uv-monorepo
+      - name: Test uv monorepo service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
+        working-directory: libs/cli/uv-examples/monorepo/apps/agent
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+        run: |
+          cp .env.example .env
+          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
+          timeout 60 python ../../../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-monorepo

.github/workflows/deploy-redirects.yml

@@ -37,7 +37,7 @@ jobs:
         run: python docs/generate_redirects.py
 
       - name: Setup Pages
-        uses: actions/configure-pages@v5
+        uses: actions/configure-pages@v6
 
       - name: Upload artifact
         uses: actions/upload-pages-artifact@v4

.github/workflows/reopen_on_assignment.yml

@@ -21,6 +21,7 @@ jobs:
   reopen-linked-prs:
     runs-on: ubuntu-latest
     permissions:
+      actions: write
       pull-requests: write
 
     steps:
@@ -158,4 +159,37 @@ jobs:
               } catch (e) {
                 core.warning(`Could not minimize stale comment on PR #${prNumber}: ${e.message}`);
               }
+
+              // Re-run the failed require_issue_link check so it picks up the
+              // new assignment.  The re-run uses the original event payload but
+              // fetches live issue data, so the assignment check will pass.
+              //
+              // Limitation: we look up runs by the PR's current head SHA.  If the
+              // contributor pushed new commits while the PR was closed, head.sha
+              // won't match the SHA of the original failed run and the query will
+              // return 0 results.  This is acceptable because any push after reopen
+              // triggers a fresh require_issue_link run against the new SHA.
+              try {
+                const { data: pr } = await github.rest.pulls.get({
+                  owner, repo, pull_number: prNumber,
+                });
+                const { data: runs } = await github.rest.actions.listWorkflowRuns({
+                  owner, repo,
+                  workflow_id: 'require_issue_link.yml',
+                  head_sha: pr.head.sha,
+                  status: 'failure',
+                  per_page: 1,
+                });
+                if (runs.workflow_runs.length > 0) {
+                  await github.rest.actions.reRunWorkflowFailedJobs({
+                    owner, repo,
+                    run_id: runs.workflow_runs[0].id,
+                  });
+                  console.log(`Re-ran failed require_issue_link run ${runs.workflow_runs[0].id} for PR #${prNumber}`);
+                } else {
+                  console.log(`No failed require_issue_link runs found for PR #${prNumber} — skipping re-run`);
+                }
+              } catch (e) {
+                core.warning(`Could not re-run require_issue_link check for PR #${prNumber} (HTTP ${e.status ?? 'unknown'}): ${e.message}`);
+              }
             }

.gitignore

@@ -100,3 +100,4 @@ dmypy.json
 .turbo
 .editorconfig
 .scratch
+.worktrees/

docs/superpowers/specs/2026-04-17-diff-channel-design.md

@@ -0,0 +1,405 @@
+# DiffChannel: Incremental Checkpoint Storage for Append-Style Reducers
+
+**Date:** 2026-04-17  
+**Status:** Approved for implementation  
+**Scope:** `libs/checkpoint`, `libs/langgraph`, `libs/checkpoint-postgres`
+
+---
+
+## Motivation
+
+LangGraph checkpoints today store the **full accumulated value** of every channel on every step. For a `messages` channel backed by `add_messages`, this means each checkpoint blob contains the entire conversation history. Storage cost grows O(N²) in the number of turns: step 1 stores 1 message, step 100 stores 100 messages, step 1000 stores 1000 messages. For long-running agentic conversations with high-token messages this is untenable.
+
+The fix is to store only the **delta** (new writes) per step, reconstructing the full accumulated value at load time by replaying the chain. This is an opt-in mechanism — existing graphs are unaffected.
+
+---
+
+## Non-Goals
+
+- **Compaction / materialized snapshots**: deferred. Load cost stays O(N) blob fetches but those fetches are batched into a single query — acceptable for now.
+- **SQLite saver support**: SQLite stores all channel values inline in one row (no per-channel blob table). Deferred to a follow-up.
+- **Automatic migration** of existing `BinaryOperatorAggregate` channels: users opt in explicitly. Old checkpoints load correctly via the backwards-compatibility path in `from_checkpoint`.
+
+---
+
+## Architecture Overview
+
+```
+User state definition
+  └── Annotated[list[AnyMessage], DiffChannel(add_messages)]
+
+Write path (per superstep)
+  DiffChannel.update()       — apply operator, accumulate writes in _pending
+  DiffChannel.checkpoint()   — return DiffDelta(delta=_pending, prev_version=_base_version)
+  serde.dumps_typed()        — serialize DiffDelta as ("diff", msgpack_bytes)
+  saver.put()                — store blob at (thread_id, ns, "messages", version_N)
+  DiffChannel.after_checkpoint(version_N) — advance _base_version, clear _pending
+
+Read path (on graph load or time-travel)
+  saver.get_tuple()          — fetch current-version blob per channel
+  saver._load_blobs()        — detect "diff" type → follow chain to reconstruct DiffChainValue
+  DiffChannel.from_checkpoint(DiffChainValue) — replay deltas with operator → full list
+  DiffChannel.after_checkpoint(version_N)     — set _base_version for next write
+```
+
+The pregel layer (`_checkpoint.py`, `_loop.py`) is unchanged except for two small additions to call the new `after_checkpoint` hook. The saver public interface (`BaseCheckpointSaver`) gains no new methods. All chain-following logic lives inside each saver's private `_load_blobs`.
+
+---
+
+## New Protocol Types
+
+**Location:** `libs/checkpoint/langgraph/checkpoint/base/__init__.py`
+
+Two dataclasses form the contract between `DiffChannel` and savers:
+
+```python
+@dataclass
+class DiffDelta:
+    """Returned by DiffChannel.checkpoint(). Written to the blob store."""
+    delta: list[Any]           # raw writes passed to update() this step
+    prev_version: str | None   # version of the previous diff blob; None = chain root
+```
+
+```python
+@dataclass
+class DiffChainValue:
+    """Passed to DiffChannel.from_checkpoint(). Assembled by _load_blobs()."""
+    base: list[Any] | None     # starting accumulated value (None = empty start)
+    deltas: list[list[Any]]    # write-sets ordered oldest → newest
+```
+
+`DiffDelta` lives in the checkpoint base package (not the channel module) so savers can import it without creating a circular dependency. `DiffChainValue` is there for the same reason.
+
+---
+
+## `BaseChannel.after_checkpoint()` Hook
+
+**Location:** `libs/langgraph/langgraph/channels/base.py`
+
+```python
+def after_checkpoint(self, version: Any) -> None:
+    """Called after checkpoint() (with the new version) and after from_checkpoint()
+    (with the current version). No-op by default; DiffChannel overrides."""
+    pass
+```
+
+This is a **non-abstract, no-op default** — fully backwards compatible. All existing channels inherit it silently. It is NOT in the abstract interface.
+
+---
+
+## `DiffChannel[V]`
+
+**Location:** `libs/langgraph/langgraph/channels/diff.py` (new file)
+
+### Internal state
+
+| Attribute | Type | Description |
+|---|---|---|
+| `value` | `list[V]` | Full accumulated value (the reconstructed list) |
+| `operator` | `Callable` | The binary reducer (e.g. `add_messages`) |
+| `_pending` | `list[Any]` | Raw writes accumulated since last `after_checkpoint` call |
+| `_base_version` | `str \| None` | Version this channel was last checkpointed at (= `prev_version` for next delta) |
+| `_overwritten` | `bool` | True if an `Overwrite` was applied since last `after_checkpoint`; makes next blob a chain root |
+
+### `update(values)`
+
+Mirrors `BinaryOperatorAggregate.update()` with two additions:
+
+1. For each non-Overwrite value: apply `self.operator(self.value, value)` as before; **also append the raw incoming value to `self._pending`**.
+2. For an `Overwrite(v)` value: set `self.value = v`; set `self._pending = list(v)` (full value becomes the new delta); set `self._overwritten = True`.
+
+The key: `_pending` stores the **incoming writes** (what was passed to `update()`), not the diff of `self.value`. This is important because `add_messages` handles removal and update-by-ID — replaying the writes with `operator` during reconstruction applies that logic correctly.
+
+### `checkpoint()`
+
+```python
+def checkpoint(self) -> DiffDelta:
+    return DiffDelta(
+        delta=self._pending[:],
+        prev_version=None if self._overwritten else self._base_version,
+    )
+```
+
+- Normal step: `prev_version = self._base_version` → chain link
+- After Overwrite: `prev_version = None` → chain root (reconstruction stops here and uses `delta` as the full base value)
+
+Returns `DiffDelta`, never the raw accumulated list. The serde handles serialization.
+
+### `from_checkpoint(checkpoint)`
+
+```python
+def from_checkpoint(self, checkpoint) -> Self:
+    new = DiffChannel(self.typ, self.operator)
+    new.key = self.key
+    if checkpoint is MISSING:
+        new.value = []
+    elif isinstance(checkpoint, DiffChainValue):
+        accumulated = checkpoint.base or []
+        for step_writes in checkpoint.deltas:
+            # Mirror update() exactly: apply each write individually so operator
+            # semantics (e.g. add_messages ID-based removal) are respected.
+            for write in step_writes:
+                accumulated = new.operator(accumulated, write)
+        new.value = accumulated
+    elif isinstance(checkpoint, DiffDelta):
+        # Unsupported saver: _load_blobs returned a raw DiffDelta instead of
+        # assembling a DiffChainValue. Raise rather than silently losing history.
+        raise ValueError(
+            "DiffChannel received a raw DiffDelta from the checkpoint saver. "
+            "Your saver does not support incremental channel storage. "
+            "Use InMemorySaver or PostgresSaver."
+        )
+    else:
+        # Backwards compat: plain list from old BinaryOperatorAggregate checkpoint.
+        new.value = checkpoint
+    new._pending = []
+    new._base_version = None  # set by the subsequent after_checkpoint() call
+    return new
+```
+
+The operator is available on `self` (the channel spec) so reconstruction is correct for any reducer — the saver never needs to know about `add_messages`.
+
+`_pending` stores **individual writes** (each `value` from `update()`'s `values` sequence), so each `step_writes` list in `DiffChainValue.deltas` is replayed write-by-write — identical to the `update()` loop.
+
+### `after_checkpoint(version)`
+
+```python
+def after_checkpoint(self, version: Any) -> None:
+    if version != self._base_version:
+        self._base_version = version
+        self._pending = []
+        self._overwritten = False
+```
+
+No-op when `version == self._base_version` (channel wasn't updated this step — blob was not written). Clears `_pending` and advances `_base_version` when the channel was actually checkpointed.
+
+### Opt-in API
+
+```python
+from langgraph.channels.diff import DiffChannel
+
+class State(TypedDict):
+    messages: Annotated[list[AnyMessage], DiffChannel(add_messages)]
+```
+
+`StateGraph` already handles `BaseChannel` instances as annotation metadata — `DiffChannel` inherits this without any changes to `StateGraph`.
+
+---
+
+## Serde Extension
+
+**Location:** `libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py`
+
+Add one branch to `dumps_typed` (before the `else` msgpack fallback), using the existing module-level `_msgpack_enc` so message ext-types (Pydantic v2, etc.) are handled correctly:
+
+```python
+elif isinstance(obj, DiffDelta):
+    return "diff", _msgpack_enc({"d": obj.delta, "p": obj.prev_version})
+```
+
+Add one branch to `loads_typed` so savers can decode diff blobs without importing `ormsgpack` directly:
+
+```python
+elif type_ == "diff":
+    return ormsgpack.unpackb(
+        data_, ext_hook=self._unpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
+    )
+    # returns {"d": [writes...], "p": prev_version_str_or_none}
+```
+
+Savers call `serde.loads_typed(("diff", raw_bytes))` to decode a diff blob into `{"d": ..., "p": ...}`, then check `type_tag == "diff"` to trigger chain traversal. The serde layer is the only place that knows about `ormsgpack`.
+
+---
+
+## Saver Changes
+
+### InMemorySaver
+
+**`put()` — `libs/checkpoint/langgraph/checkpoint/memory/__init__.py`**
+
+No change needed. The existing `self.serde.dumps_typed(values[k])` call already handles `DiffDelta` via the new serde branch above, storing it as `("diff", bytes)`.
+
+**`_load_blobs()` — same file**
+
+After checking `vv[0] != "empty"`, add a branch for `"diff"` before calling `serde.loads_typed`:
+
+```python
+def _load_blobs(self, thread_id, checkpoint_ns, versions):
+    channel_values = {}
+    diff_channels = {}  # channel_name -> current_version for diff channels
+
+    for k, v in versions.items():
+        kk = (thread_id, checkpoint_ns, k, v)
+        if kk not in self.blobs:
+            continue
+        type_tag, blob_bytes = self.blobs[kk]
+        if type_tag == "diff":
+            diff_channels[k] = v  # handle below
+        elif type_tag != "empty":
+            channel_values[k] = self.serde.loads_typed((type_tag, blob_bytes))
+
+    for k, current_version in diff_channels.items():
+        # Follow chain: newest → oldest, then reverse
+        chain_deltas = []
+        base = None
+        version = current_version
+        while version is not None:
+            kk = (thread_id, checkpoint_ns, k, version)
+            if kk not in self.blobs:
+                break
+            type_tag, blob_bytes = self.blobs[kk]
+            if type_tag == "diff":
+                # Use serde so we don't need to import ormsgpack directly
+                payload = self.serde.loads_typed((type_tag, blob_bytes))
+                chain_deltas.append(payload["d"])
+                version = payload["p"]  # prev_version; None = root
+            else:
+                # Old non-diff blob encountered: treat as base accumulated value
+                base = self.serde.loads_typed((type_tag, blob_bytes))
+                break
+        chain_deltas.reverse()
+        channel_values[k] = DiffChainValue(base=base, deltas=chain_deltas)
+
+    return channel_values
+```
+
+Each blob lookup is O(1) on the dict. Total: N dict lookups for a chain of depth N. Memory usage is identical to loading a single full-list blob (same total bytes, split across N entries).
+
+### PostgresSaver
+
+**`_load_blobs()` — `libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py`**
+
+The existing `SELECT_SQL` fetches one blob per channel via a JOIN. After running that query, detect any `"diff"` channels in the result and issue one additional range query:
+
+```python
+def _load_blobs(self, blob_values):
+    if not blob_values:
+        return {}
+
+    result = {}
+    diff_channels = {}  # channel_name -> current_version (as str)
+
+    for k, t, v in blob_values:
+        channel = k.decode()
+        type_tag = t.decode()
+        if type_tag == "diff":
+            # Decode via serde — no direct ormsgpack import needed
+            payload = self.serde.loads_typed((type_tag, v))
+            diff_channels[channel] = payload  # store for chain fetch
+        elif type_tag != "empty":
+            result[channel] = self.serde.loads_typed((type_tag, v))
+
+    if diff_channels:
+        result.update(self._load_diff_chains(diff_channels))
+
+    return result
+```
+
+`_load_diff_chains` issues one SQL query per diff channel (typically just `messages`):
+
+```sql
+SELECT version, type, blob
+FROM checkpoint_blobs
+WHERE thread_id = %s
+  AND checkpoint_ns = %s
+  AND channel = %s
+  AND version <= %s
+ORDER BY version ASC
+```
+
+In Python, iterate rows in ascending version order: if `type = "diff"`, accumulate the delta; if any other type is encountered, treat it as the base accumulated value and stop. Return `DiffChainValue(base=..., deltas=[...])`.
+
+This results in **at most 2 queries total** for a graph with one `DiffChannel` — existing behaviour for all other channels is unchanged.
+
+**`put()` / `_dump_blobs()`**
+
+No change needed. `_dump_blobs` calls `self.serde.dumps_typed(v)` for each channel value in `new_versions`. When `v` is a `DiffDelta`, the serde produces `("diff", bytes)` which is stored as `type = "diff"` in `checkpoint_blobs`. The `ON CONFLICT DO NOTHING` semantics are preserved.
+
+### SQLite
+
+Deferred. `SqliteSaver` stores the entire checkpoint as a single serialized row — it has no per-channel blob table. Supporting `DiffChannel` on SQLite would require adding a new blobs table, which is a separate migration tracked separately.
+
+---
+
+## Pregel Layer Changes
+
+### `channels_from_checkpoint` — `libs/langgraph/langgraph/pregel/_checkpoint.py`
+
+After constructing each channel from its checkpoint value, call `after_checkpoint` so the channel records its current version:
+
+```python
+channels = {}
+for k, v in channel_specs.items():
+    ch = v.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
+    ch.after_checkpoint(checkpoint["channel_versions"].get(k))
+    channels[k] = ch
+return channels, managed_specs
+```
+
+Existing channels get the no-op `after_checkpoint`. `DiffChannel` uses it to set `_base_version`.
+
+### `PregelLoop._put_checkpoint` — `libs/langgraph/langgraph/pregel/_loop.py`
+
+After `create_checkpoint(self.checkpoint, self.channels, self.step, ...)` returns and `do_checkpoint is True` and `self.channels is not None`, iterate channels and notify:
+
+```python
+if do_checkpoint and self.channels:
+    for k, ch in self.channels.items():
+        ch.after_checkpoint(self.checkpoint["channel_versions"].get(k))
+```
+
+This is called after `create_checkpoint` updates `self.checkpoint["channel_versions"]`, so `get(k)` returns the new version for updated channels and the old version for unchanged ones. `DiffChannel.after_checkpoint` only clears `_pending` when `version != _base_version`, so unchanged channels are no-ops.
+
+---
+
+## Backwards Compatibility
+
+| Scenario | Behaviour |
+|---|---|
+| Existing graph using `add_messages` (BinaryOperatorAggregate) | Unaffected — no code changes, no data migration |
+| New graph with `DiffChannel`, loading old checkpoint blobs | `from_checkpoint` receives a plain `list` → used directly as accumulated value |
+| `DiffChannel` with `InMemorySaver` or `PostgresSaver` | Fully supported |
+| `DiffChannel` with `SqliteSaver` | `from_checkpoint` receives a raw `DiffDelta` (SqliteSaver stores channel_values inline), raises `ValueError` with a clear message pointing to supported savers |
+| Time-travel / fork to past checkpoint | Chain traversal uses the version at that checkpoint → reconstruction is correct |
+| `update_state` | Treated as a normal step: writes are deltas chained to history |
+| `Overwrite` value | Resets chain: next blob has `prev_version=None`; reconstruction starts fresh |
+
+---
+
+## Testing Strategy
+
+1. **Unit tests for `DiffChannel`** (`libs/langgraph/tests/`):
+   - `update` → `checkpoint` → `after_checkpoint` → `checkpoint` lifecycle (2 steps, verify delta isolation)
+   - `from_checkpoint(DiffChainValue)` correctly replays multi-step chains using the operator
+   - `from_checkpoint(plain_list)` backwards-compat path
+   - `Overwrite` creates a root blob (`prev_version=None`) and reconstruction ignores prior chain
+   - `after_checkpoint` no-ops when version is unchanged
+
+2. **Integration tests with `InMemorySaver`** (`libs/langgraph/tests/`):
+   - 10-step conversation: verify final loaded state equals full accumulated messages
+   - Time-travel: fork to step 5, verify only messages 1–5 are present
+   - Mixed graph: some channels `BinaryOperatorAggregate`, one `DiffChannel` — both reconstruct correctly
+
+3. **Serde tests** (`libs/checkpoint/tests/`):
+   - `DiffDelta` round-trips through `dumps_typed` / saver storage
+   - Old `"msgpack"` blob for a channel → `DiffChannel.from_checkpoint` handles it
+
+4. **Postgres integration tests** (`libs/checkpoint-postgres/tests/`):
+   - Range query reconstructs correct full list after N steps
+   - Time-travel to checkpoint M reconstructs correct list of M messages
+
+---
+
+## Files Changed
+
+| File | Change |
+|---|---|
+| `libs/checkpoint/langgraph/checkpoint/base/__init__.py` | Add `DiffDelta`, `DiffChainValue` dataclasses |
+| `libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py` | Add `"diff"` branch in `dumps_typed` |
+| `libs/checkpoint/langgraph/checkpoint/memory/__init__.py` | Chain traversal in `_load_blobs` |
+| `libs/langgraph/langgraph/channels/base.py` | Add no-op `after_checkpoint` method |
+| `libs/langgraph/langgraph/channels/diff.py` | **New file** — `DiffChannel` implementation |
+| `libs/langgraph/langgraph/channels/__init__.py` | Export `DiffChannel` |
+| `libs/langgraph/langgraph/pregel/_checkpoint.py` | Call `after_checkpoint` in `channels_from_checkpoint` |
+| `libs/langgraph/langgraph/pregel/_loop.py` | Call `after_checkpoint` after `create_checkpoint` |
+| `libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py` | Range-query chain reconstruction in `_load_blobs` |

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

@@ -339,37 +339,6 @@ async def test_list_metadata_custom_keys(
     assert results[0].metadata["run_id"] == "run-abc"
 
 
-async def test_list_global_search(
-    saver: BaseCheckpointSaver,
-) -> None:
-    """alist(None, filter=...) searches across all threads."""
-    tid1, tid2 = str(uuid4()), str(uuid4())
-
-    # Use a unique marker so we don't collide with other tests' data
-    marker = str(uuid4())
-
-    cfg1 = generate_config(tid1)
-    cp1 = generate_checkpoint()
-    await saver.aput(cfg1, cp1, generate_metadata(source="input", marker=marker), {})
-
-    cfg2 = generate_config(tid2)
-    cp2 = generate_checkpoint()
-    await saver.aput(cfg2, cp2, generate_metadata(source="loop", marker=marker), {})
-
-    # Search across all threads with filter
-    results = []
-    async for tup in saver.alist(None, filter={"source": "input", "marker": marker}):
-        results.append(tup)
-    assert len(results) == 1
-    assert results[0].config["configurable"]["thread_id"] == tid1
-
-    # Search with marker only — should find both
-    results = []
-    async for tup in saver.alist(None, filter={"marker": marker}):
-        results.append(tup)
-    assert len(results) == 2
-
-
 ALL_LIST_TESTS = [
     test_list_all,
     test_list_by_thread,
@@ -380,7 +349,6 @@ ALL_LIST_TESTS = [
     test_list_metadata_filter_multiple_keys,
     test_list_metadata_filter_no_match,
     test_list_metadata_custom_keys,
-    test_list_global_search,
     test_list_before,
     test_list_limit,
     test_list_limit_plus_before,

libs/checkpoint-conformance/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint-conformance"
-version = "0.0.1"
+version = "0.0.2"
 description = "Conformance test suite for LangGraph checkpointer implementations."
 authors = [{name = "William FH", email = "13333726+hinthornw@users.noreply.github.com"}]
 requires-python = ">=3.10"

libs/checkpoint-conformance/uv.lock

@@ -231,7 +231,7 @@ wheels = [
 
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-version = "1.2.22"
+version = "1.2.28"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
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     { name = "typing-extensions" },
     { name = "uuid-utils" },
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 ]
 
 [[package]]
@@ -263,7 +263,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-checkpoint-conformance"
-version = "0.0.1"
+version = "0.0.2"
 source = { editable = "." }
 dependencies = [
     { name = "langgraph-checkpoint" },
@@ -306,7 +306,7 @@ test = [
 
 [[package]]
 name = "langsmith"
-version = "0.7.3"
+version = "0.7.31"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx" },
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+version = "9.0.3"
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@@ -634,9 +634,9 @@ dependencies = [
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 [[package]]

libs/checkpoint-postgres/README.md

@@ -6,6 +6,11 @@ Implementation of LangGraph CheckpointSaver that uses Postgres.
 
 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]`).
 
+## Security
+
+> [!IMPORTANT]
+> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
+
 ## Usage
 
 > [!IMPORTANT]

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

@@ -430,6 +430,43 @@ class PostgresSaver(BasePostgresSaver):
                 with conn.cursor(binary=True, row_factory=dict_row) as cur:
                     yield cur
 
+    def get_channel_blob(
+        self,
+        thread_id: str,
+        checkpoint_ns: str,
+        checkpoint_id: str,
+        channel: str,
+    ) -> Any:
+        """Look up a channel blob by checkpoint ID + channel via checkpoint_blobs."""
+        with self._cursor() as cur:
+            cur.execute(
+                """
+                SELECT cb.type, cb.blob
+                FROM checkpoint_blobs cb
+                WHERE cb.thread_id = %s
+                  AND cb.checkpoint_ns = %s
+                  AND cb.channel = %s
+                  AND cb.version = (
+                      SELECT checkpoint->'channel_versions'->>%s
+                      FROM checkpoints
+                      WHERE thread_id = %s AND checkpoint_ns = %s AND checkpoint_id = %s
+                  )
+                """,
+                (
+                    thread_id,
+                    checkpoint_ns,
+                    channel,
+                    channel,
+                    thread_id,
+                    checkpoint_ns,
+                    checkpoint_id,
+                ),
+            )
+            row = cur.fetchone()
+        if row is None:
+            return NotImplemented
+        return self.serde.loads_typed((row["type"], row["blob"]))
+
     def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
         """
         Convert a database row into a CheckpointTuple object.
@@ -442,6 +479,13 @@ class PostgresSaver(BasePostgresSaver):
             including its configuration, metadata, parent checkpoint (if any),
             and pending writes.
         """
+        with self._cursor() as cur:
+            channel_values = self._load_blobs(
+                value["channel_values"],
+                thread_id=value["thread_id"],
+                checkpoint_ns=value["checkpoint_ns"],
+                cur=cur,
+            )
         return CheckpointTuple(
             {
                 "configurable": {
@@ -454,7 +498,7 @@ class PostgresSaver(BasePostgresSaver):
                 **value["checkpoint"],
                 "channel_values": {
                     **(value["checkpoint"].get("channel_values") or {}),
-                    **self._load_blobs(value["channel_values"]),
+                    **channel_values,
                 },
             },
             value["metadata"],

libs/checkpoint-postgres/langgraph/checkpoint/postgres/aio.py

@@ -391,6 +391,43 @@ class AsyncPostgresSaver(BasePostgresSaver):
                 async with conn.cursor(binary=True, row_factory=dict_row) as cur:
                     yield cur
 
+    async def aget_channel_blob(
+        self,
+        thread_id: str,
+        checkpoint_ns: str,
+        checkpoint_id: str,
+        channel: str,
+    ) -> Any:
+        """Async look up of a channel blob by checkpoint ID + channel name."""
+        async with self._cursor() as cur:
+            await cur.execute(
+                """
+                SELECT cb.type, cb.blob
+                FROM checkpoint_blobs cb
+                WHERE cb.thread_id = %s
+                  AND cb.checkpoint_ns = %s
+                  AND cb.channel = %s
+                  AND cb.version = (
+                      SELECT checkpoint->'channel_versions'->>%s
+                      FROM checkpoints
+                      WHERE thread_id = %s AND checkpoint_ns = %s AND checkpoint_id = %s
+                  )
+                """,
+                (
+                    thread_id,
+                    checkpoint_ns,
+                    channel,
+                    channel,
+                    thread_id,
+                    checkpoint_ns,
+                    checkpoint_id,
+                ),
+            )
+            row = await cur.fetchone()
+        if row is None:
+            return NotImplemented
+        return self.serde.loads_typed((row["type"], row["blob"]))
+
     async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
         """
         Convert a database row into a CheckpointTuple object.
@@ -403,11 +440,19 @@ class AsyncPostgresSaver(BasePostgresSaver):
             including its configuration, metadata, parent checkpoint (if any),
             and pending writes.
         """
+        thread_id = value["thread_id"]
+        checkpoint_ns = value["checkpoint_ns"]
+        blob_values = value["channel_values"]
+
+        channel_values: dict[str, Any] = {}
+        if blob_values:
+            channel_values = self._load_blobs(blob_values)
+
         return CheckpointTuple(
             {
                 "configurable": {
-                    "thread_id": value["thread_id"],
-                    "checkpoint_ns": value["checkpoint_ns"],
+                    "thread_id": thread_id,
+                    "checkpoint_ns": checkpoint_ns,
                     "checkpoint_id": value["checkpoint_id"],
                 }
             },
@@ -415,15 +460,15 @@ class AsyncPostgresSaver(BasePostgresSaver):
                 **value["checkpoint"],
                 "channel_values": {
                     **(value["checkpoint"].get("channel_values") or {}),
-                    **self._load_blobs(value["channel_values"]),
+                    **channel_values,
                 },
             },
             value["metadata"],
             (
                 {
                     "configurable": {
-                        "thread_id": value["thread_id"],
-                        "checkpoint_ns": value["checkpoint_ns"],
+                        "thread_id": thread_id,
+                        "checkpoint_ns": checkpoint_ns,
                         "checkpoint_id": value["parent_checkpoint_id"],
                     }
                 }

libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py

@@ -185,15 +185,22 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
         )
 
     def _load_blobs(
-        self, blob_values: list[tuple[bytes, bytes, bytes]]
+        self,
+        blob_values: list[tuple[bytes, bytes, bytes]],
+        *,
+        thread_id: str = "",
+        checkpoint_ns: str = "",
+        cur: Any = None,
     ) -> dict[str, Any]:
         if not blob_values:
             return {}
-        return {
-            k.decode(): self.serde.loads_typed((t.decode(), v))
-            for k, t, v in blob_values
-            if t.decode() != "empty"
-        }
+        result: dict[str, Any] = {}
+        for k, t, v in blob_values:
+            channel = k.decode()
+            type_tag = t.decode()
+            if type_tag != "empty":
+                result[channel] = self.serde.loads_typed((type_tag, v))
+        return result
 
     def _dump_blobs(
         self,

libs/checkpoint-postgres/tests/test_async.py

@@ -371,3 +371,47 @@ async def test_get_checkpoint_no_channel_values(
 
         checkpoint = await saver.aget_tuple(config)
         assert checkpoint.checkpoint["channel_values"] == {}
+
+
+@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe"])
+async def test_delta_channel_chain_reconstruction(saver_name: str) -> None:
+    """AsyncPostgresSaver reconstructs DeltaChannel chain via point-lookup traversal."""
+    pytest.importorskip(
+        "langgraph.channels.delta", reason="langgraph core not installed"
+    )
+
+    from typing import Annotated
+
+    from langchain_core.messages import AIMessage, HumanMessage
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+    from typing_extensions import TypedDict
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages)]
+
+    def respond(state: State) -> dict:
+        n = len(state["messages"])
+        return {"messages": [AIMessage(content=f"reply-{n}", id=f"ai-{n}")]}
+
+    builder = StateGraph(State)
+    builder.add_node("respond", respond)
+    builder.add_edge(START, "respond")
+
+    async with _saver(saver_name) as saver:
+        graph = builder.compile(checkpointer=saver)
+        config = {"configurable": {"thread_id": "diff-channel-test-1"}}
+
+        await graph.ainvoke({"messages": [HumanMessage(content="hi", id="h1")]}, config)
+        await graph.ainvoke(
+            {"messages": [HumanMessage(content="there", id="h2")]}, config
+        )
+
+        state = await graph.aget_state(config)
+        msgs = state.values["messages"]
+        assert len(msgs) == 4, f"expected 4, got {len(msgs)}: {msgs}"
+        assert msgs[0].content == "hi"
+        assert msgs[1].content == "reply-1"
+        assert msgs[2].content == "there"
+        assert msgs[3].content == "reply-3"

libs/checkpoint-postgres/uv.lock

@@ -240,7 +240,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.22"
+version = "1.2.28"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -252,14 +252,14 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
 ]
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.1"
+version = "4.0.2"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },
@@ -382,7 +382,7 @@ test = [
 
 [[package]]
 name = "langsmith"
-version = "0.6.4"
+version = "0.7.31"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx" },
@@ -392,89 +392,102 @@ dependencies = [
     { name = "requests" },
     { name = "requests-toolbelt" },
     { name = "uuid-utils" },
+    { name = "xxhash" },
     { name = "zstandard" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
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+    { url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
 ]
 
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 name = "zstandard"
 version = "0.25.0"

libs/checkpoint-sqlite/README.md

@@ -2,6 +2,11 @@
 
 Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`)
 
+## Security
+
+> [!IMPORTANT]
+> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
+
 ## Usage
 
 ```python

libs/checkpoint-sqlite/uv.lock

@@ -249,7 +249,7 @@ wheels = [
 
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-version = "1.2.22"
+version = "1.2.28"
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 ]
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.1"
+version = "4.0.2"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },
@@ -385,7 +385,7 @@ test = [
 
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+version = "0.7.31"
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@@ -395,89 +395,102 @@ dependencies = [
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     { name = "requests-toolbelt" },
     { name = "uuid-utils" },
+    { name = "xxhash" },
     { name = "zstandard" },
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+]
+
 [[package]]
 name = "zstandard"
 version = "0.25.0"

libs/checkpoint/README.md

@@ -26,6 +26,9 @@ You must pass these when invoking the graph as part of the configurable part of
 
 `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.
 
+> [!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.
+
 ### Pending writes
 
 When a graph node fails mid-execution at a given superstep, LangGraph stores pending checkpoint writes from any other nodes that completed successfully at that superstep, so that whenever we resume graph execution from that superstep we don't re-run the successful nodes.

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

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import copy
+import dataclasses
 import logging
 from collections.abc import AsyncIterator, Collection, Iterator, Mapping, Sequence
 from typing import (  # noqa: UP035
@@ -28,6 +29,26 @@ from langgraph.checkpoint.serde.types import (
 
 V = TypeVar("V", int, float, str)
 PendingWrite = tuple[str, str, Any]
+
+
+@dataclasses.dataclass
+class DeltaValue:
+    """Returned by DeltaChannel.checkpoint(). Represents one step's writes."""
+
+    delta: list[Any]
+    prev_checkpoint_id: (
+        str | None
+    )  # ID of checkpoint containing previous blob; None = chain root
+
+
+@dataclasses.dataclass
+class DeltaChainValue:
+    """Passed to DeltaChannel.from_checkpoint(). Assembled by the pregel layer."""
+
+    base: list[Any] | None  # starting accumulated value; None = start from empty
+    deltas: list[list[Any]]  # per-step write-sets, ordered oldest → newest
+
+
 logger = logging.getLogger(__name__)
 
 
@@ -457,6 +478,42 @@ class BaseCheckpointSaver(Generic[V]):
         """
         raise NotImplementedError
 
+    def get_channel_blob(
+        self,
+        thread_id: str,
+        checkpoint_ns: str,
+        checkpoint_id: str,
+        channel: str,
+    ) -> Any:
+        """Look up a single channel blob by checkpoint ID + channel name.
+
+        Returns NotImplemented if this saver does not support efficient
+        per-channel-version blob lookup. The pregel layer will fall back to
+        get_tuple() traversal in that case.
+
+        Savers with a dedicated blob store (InMemorySaver, PostgresSaver)
+        should override this for O(1) performance.
+        """
+        return NotImplemented
+
+    async def aget_channel_blob(
+        self,
+        thread_id: str,
+        checkpoint_ns: str,
+        checkpoint_id: str,
+        channel: str,
+    ) -> Any:
+        """Look up a single channel blob by checkpoint ID + channel name (async).
+
+        Returns NotImplemented if this saver does not support efficient
+        per-channel-version blob lookup. The pregel layer will fall back to
+        aget_tuple() traversal in that case.
+
+        Savers with a dedicated blob store (InMemorySaver, PostgresSaver)
+        should override this for O(1) performance.
+        """
+        return NotImplemented
+
     def get_next_version(self, current: V | None, channel: None) -> V:
         """Generate the next version ID for a channel.
 

libs/checkpoint/langgraph/checkpoint/memory/__init__.py

@@ -126,12 +126,46 @@ class InMemorySaver(
         channel_values: dict[str, Any] = {}
         for k, v in versions.items():
             kk = (thread_id, checkpoint_ns, k, v)
-            if kk in self.blobs:
-                vv = self.blobs[kk]
-                if vv[0] != "empty":
-                    channel_values[k] = self.serde.loads_typed(vv)
+            if kk not in self.blobs:
+                continue
+            vv = self.blobs[kk]
+            if vv[0] != "empty":
+                channel_values[k] = self.serde.loads_typed(vv)
         return channel_values
 
+    def get_channel_blob(
+        self,
+        thread_id: str,
+        checkpoint_ns: str,
+        checkpoint_id: str,
+        channel: str,
+    ) -> Any:
+        """Fast-path blob lookup: checkpoint → channel version → blob."""
+        ns_storage = self.storage.get(thread_id, {}).get(checkpoint_ns, {})
+        entry = ns_storage.get(checkpoint_id)
+        if entry is None:
+            return NotImplemented
+        checkpoint = self.serde.loads_typed(entry[0])
+        version = checkpoint["channel_versions"].get(channel)
+        if version is None:
+            return NotImplemented
+        kk = (thread_id, checkpoint_ns, channel, version)
+        if kk not in self.blobs:
+            return NotImplemented
+        vv = self.blobs[kk]
+        if vv[0] == "empty":
+            return NotImplemented
+        return self.serde.loads_typed(vv)
+
+    async def aget_channel_blob(
+        self,
+        thread_id: str,
+        checkpoint_ns: str,
+        checkpoint_id: str,
+        channel: str,
+    ) -> Any:
+        return self.get_channel_blob(thread_id, checkpoint_ns, checkpoint_id, channel)
+
     def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
         """Get a checkpoint tuple from the in-memory storage.
 

libs/checkpoint/langgraph/checkpoint/serde/_msgpack.py

@@ -1,3 +1,10 @@
+"""Msgpack deserialization safety controls.
+
+Set ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict checkpoint deserialization
+to the types listed in ``SAFE_MSGPACK_TYPES``.  Without this, any Python
+callable stored in checkpoint data will be imported and executed on load.
+"""
+
 import os
 from collections.abc import Iterable
 from typing import cast
@@ -73,6 +80,8 @@ SAFE_MSGPACK_TYPES: frozenset[tuple[str, ...]] = frozenset(
         ("langgraph.types", "Overwrite"),
         ("langgraph.store.base", "Item"),
         ("langgraph.store.base", "GetOp"),
+        # DeltaChannel checkpoint value type
+        ("langgraph.checkpoint.base", "DeltaValue"),
     }
 )
 

libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py

@@ -47,6 +47,12 @@ EMPTY_BYTES = b""
 logger = logging.getLogger(__name__)
 
 
+def _is_delta_value(obj: Any) -> bool:
+    from langgraph.checkpoint.base import DeltaValue  # lazy import avoids circular dep
+
+    return isinstance(obj, DeltaValue)
+
+
 class JsonPlusSerializer(SerializerProtocol):
     """Serializer that uses ormsgpack, with optional fallbacks.
 
@@ -56,6 +62,10 @@ class JsonPlusSerializer(SerializerProtocol):
         class and called within the Pregel loop. It should not be used on untrusted
         python objects. If an attacker can write directly to your checkpoint database,
         they may be able to trigger code execution when data is deserialized.
+
+        Set the environment variable ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict
+        deserialization to a built-in allowlist of safe types.  You can also pass
+        an explicit ``allowed_msgpack_modules`` to the constructor.
     """
 
     def __init__(
@@ -70,8 +80,11 @@ class JsonPlusSerializer(SerializerProtocol):
     ) -> None:
         if allowed_msgpack_modules is _lg_msgpack._SENTINEL:
             if _lg_msgpack.STRICT_MSGPACK_ENABLED:
+                # Strict: only SAFE_MSGPACK_TYPES are allowed.
                 allowed_msgpack_modules = None
             else:
+                # Permissive (default): all types allowed with a warning.
+                # Set LANGGRAPH_STRICT_MSGPACK=true to lock this down.
                 allowed_msgpack_modules = True
         self.pickle_fallback = pickle_fallback
         self._allowed_json_modules: set[tuple[str, ...]] | Literal[True] | None = (
@@ -232,6 +245,8 @@ class JsonPlusSerializer(SerializerProtocol):
             return "bytes", obj
         elif isinstance(obj, bytearray):
             return "bytearray", obj
+        elif _is_delta_value(obj):
+            return "delta", _msgpack_enc({"d": obj.delta, "c": obj.prev_checkpoint_id})
         else:
             try:
                 return "msgpack", _msgpack_enc(obj)
@@ -254,6 +269,13 @@ class JsonPlusSerializer(SerializerProtocol):
             return ormsgpack.unpackb(
                 data_, ext_hook=self._unpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
             )
+        elif type_ == "delta":
+            from langgraph.checkpoint.base import DeltaValue  # lazy import
+
+            raw = ormsgpack.unpackb(
+                data_, ext_hook=self._unpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
+            )
+            return DeltaValue(delta=raw["d"], prev_checkpoint_id=raw.get("c"))
         elif self.pickle_fallback and type_ == "pickle":
             return pickle.loads(data_)
         else:
@@ -530,7 +552,8 @@ def _create_msgpack_ext_hook(
             logger.warning(
                 "Deserializing unregistered type %s.%s from checkpoint. "
                 "This will be blocked in a future version. "
-                "Add to allowed_msgpack_modules to silence: [(%r, %r)]",
+                "Set LANGGRAPH_STRICT_MSGPACK=true to block now, or add "
+                "to allowed_msgpack_modules to allow explicitly: [(%r, %r)]",
                 module,
                 name,
                 module,

libs/checkpoint/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint"
-version = "4.0.1"
+version = "4.0.2"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
 requires-python = ">=3.10"

libs/checkpoint/tests/test_jsonplus.py

@@ -983,3 +983,31 @@ def test_msgpack_nested_pydantic_serializes_as_dict(
     # No blocking should occur - inner is serialized as dict, not ext
     assert "blocked" not in caplog.text.lower()
     assert result == obj
+
+
+def test_delta_value_serde_round_trip() -> None:
+    from langgraph.checkpoint.base import DeltaValue
+    from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
+
+    serde = JsonPlusSerializer()
+    original = DeltaValue(
+        delta=[{"type": "human", "content": "hi"}], prev_checkpoint_id="abc-123"
+    )
+    type_tag, blob = serde.dumps_typed(original)
+    assert type_tag == "delta"
+    loaded = serde.loads_typed((type_tag, blob))
+    assert isinstance(loaded, DeltaValue)
+    assert loaded.delta == original.delta
+    assert loaded.prev_checkpoint_id == "abc-123"
+
+
+def test_delta_value_serde_chain_root() -> None:
+    from langgraph.checkpoint.base import DeltaValue
+    from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
+
+    serde = JsonPlusSerializer()
+    original = DeltaValue(delta=[], prev_checkpoint_id=None)
+    type_tag, blob = serde.dumps_typed(original)
+    loaded = serde.loads_typed((type_tag, blob))
+    assert isinstance(loaded, DeltaValue)
+    assert loaded.prev_checkpoint_id is None

libs/checkpoint/tests/test_memory.py

@@ -308,3 +308,36 @@ def test_memory_saver_with_allowlist_proxy_isolated() -> None:
     assert direct is not None
     expected = obj.model_dump() if hasattr(obj, "model_dump") else obj.dict()
     assert direct.checkpoint["channel_values"]["foo"] == expected
+
+
+class TestInMemorySaverDeltaChannel:
+    def test_get_channel_blob(self) -> None:
+        """get_channel_blob returns the deserialized blob for a checkpoint+channel."""
+        from langgraph.checkpoint.base import DeltaValue, empty_checkpoint
+
+        saver = InMemorySaver()
+        serde = JsonPlusSerializer()
+
+        thread_id, ns, channel = "t1", "", "messages"
+        version = "00000000000000000000000000000001.0000000000000000"
+        delta = DeltaValue(delta=[{"content": "hi"}], prev_checkpoint_id=None)
+        saver.blobs[(thread_id, ns, channel, version)] = serde.dumps_typed(delta)
+
+        cp = empty_checkpoint()
+        cp["id"] = "cp1"
+        cp["channel_versions"][channel] = version
+        saver.storage[thread_id][ns] = {
+            "cp1": (serde.dumps_typed(cp), serde.dumps_typed({}), None)
+        }
+
+        result = saver.get_channel_blob(thread_id, ns, "cp1", channel)
+        assert isinstance(result, DeltaValue)
+        assert result.delta == [{"content": "hi"}]
+        assert result.prev_checkpoint_id is None
+
+    def test_get_channel_blob_missing(self) -> None:
+        """get_channel_blob returns NotImplemented when checkpoint or channel not found."""
+        saver = InMemorySaver()
+        assert (
+            saver.get_channel_blob("t1", "", "no-such-cp", "messages") is NotImplemented
+        )

libs/checkpoint/uv.lock

@@ -267,7 +267,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.22"
+version = "1.2.28"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -279,14 +279,14 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b1/a3/c4cd6827a1df46c821e7214b7f7b7a28b189e6c9b84ef15c6d629c5e3179/langchain_core-1.2.22.tar.gz", hash = "sha256:8d8f726d03d3652d403da915126626bb6250747e8ba406537d849e68b9f5d058", size = 842487, upload-time = "2026-03-24T18:48:44.9Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c7/a6/2ffacf0f1a3788f250e75d0b52a24896c413be11be3a6d42bcdf46fbea48/langchain_core-1.2.22-py3-none-any.whl", hash = "sha256:7e30d586b75918e828833b9ec1efc25465723566845dd652c277baf751e9c04b", size = 506829, upload-time = "2026-03-24T18:48:43.286Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
 ]
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.1"
+version = "4.0.2"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -369,7 +369,7 @@ test = [
 
 [[package]]
 name = "langsmith"
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+]
+
 [[package]]
 name = "zstandard"
 version = "0.25.0"

libs/cli/examples/graph_prerelease_reqs/deps/additional_deps/pyproject.toml

@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langgraph==1.1.2"
+  "langgraph==1.1.5"
 ]

libs/cli/examples/graph_prerelease_reqs/pyproject.toml

@@ -7,7 +7,7 @@ requires-python = ">=3.10"
 dependencies = [
   "langchain-openai==1.0.0a2",
   "langchain-anthropic==1.0.0a5",
-  "langgraph==1.1.2"
+  "langgraph==1.1.5"
 ]
 
 [tool.uv]

libs/cli/generate_schema.py

@@ -159,8 +159,8 @@ def generate_schema():
         if k not in python_specific_props and k not in node_specific_props
     ]
 
-    # Create Python schema with python_version and pip_config_file
-    python_schema = {
+    # Create legacy Python schema with python_version and pip_config_file
+    legacy_python_schema = {
         "type": "object",
         "properties": {
             # Include Python-specific properties
@@ -170,10 +170,45 @@ def generate_schema():
         },
         "required": ["dependencies", "graphs"],
     }
+    legacy_python_schema["properties"]["pip_installer"] = {
+        "anyOf": [
+            {"type": "string", "enum": ["auto", "pip", "uv"]},
+            {"type": "null"},
+        ]
+    }
+
+    uv_source_python_schema = {
+        "type": "object",
+        "properties": {
+            **{
+                k: config_schema["properties"][k].copy()
+                for k in python_specific_props + common_props
+            },
+        },
+        "required": ["graphs", "source"],
+    }
+    # source must be a UvSource object (not null)
+    uv_source_python_schema["properties"]["source"] = {"$ref": "#/$defs/UvSource"}
+    uv_source_python_schema["properties"]["pip_installer"] = {
+        "anyOf": [
+            {"type": "string", "enum": ["auto", "pip", "uv"]},
+            {"type": "null"},
+        ]
+    }
 
     # Add enum constraint for python_version
-    if "python_version" in python_schema["properties"]:
-        python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12", "3.13"]
+    if "python_version" in legacy_python_schema["properties"]:
+        legacy_python_schema["properties"]["python_version"]["enum"] = [
+            "3.11",
+            "3.12",
+            "3.13",
+        ]
+    if "python_version" in uv_source_python_schema["properties"]:
+        uv_source_python_schema["properties"]["python_version"]["enum"] = [
+            "3.11",
+            "3.12",
+            "3.13",
+        ]
 
     # Create Node.js schema with node_version
     node_schema = {
@@ -186,6 +221,12 @@ def generate_schema():
         },
         "required": ["node_version", "graphs"],
     }
+    node_schema["properties"]["pip_installer"] = {
+        "anyOf": [
+            {"type": "string", "enum": ["auto", "pip", "uv"]},
+            {"type": "null"},
+        ]
+    }
 
     # Add enum constraint for node_version
     if "node_version" in node_schema["properties"]:
@@ -202,7 +243,11 @@ def generate_schema():
         ]
 
     # Replace the Config schema with a oneOf constraint
-    config_schema["oneOf"] = [python_schema, node_schema]
+    config_schema["oneOf"] = [
+        legacy_python_schema,
+        uv_source_python_schema,
+        node_schema,
+    ]
 
     # Remove the properties field as it's now defined in the oneOf subschemas
     if "properties" in config_schema:

libs/cli/js-examples/package.json

@@ -21,16 +21,16 @@
     "test:all": "yarn test && yarn test:int && yarn lint:langgraph"
   },
   "dependencies": {
-    "@langchain/core": "^1.1.36",
-    "@langchain/langgraph": "^1.2.5"
+    "@langchain/core": "^1.1.38",
+    "@langchain/langgraph": "^1.2.6"
   },
   "devDependencies": {
     "@eslint/eslintrc": "^3.3.5",
     "@eslint/js": "^10.0.1",
     "@tsconfig/recommended": "^1.0.13",
     "@types/jest": "^30.0.0",
-    "@typescript-eslint/eslint-plugin": "^8.57.2",
-    "@typescript-eslint/parser": "^8.57.2",
+    "@typescript-eslint/eslint-plugin": "^8.58.0",
+    "@typescript-eslint/parser": "^8.58.0",
     "dotenv": "^17.3.1",
     "eslint": "^10.1.0",
     "eslint-config-prettier": "^10.1.8",

libs/cli/js-examples/yarn.lock

@@ -890,10 +890,10 @@
     "@jridgewell/resolve-uri" "^3.1.0"
     "@jridgewell/sourcemap-codec" "^1.4.14"
 
-"@langchain/core@^1.1.36":
-  version "1.1.36"
-  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.36.tgz#672d758e50e09fe402db2919ceb98b82cbca901b"
-  integrity sha512-9NWsdzU3uZD13lJwunXK0t6SIwew+UwcbHggW5yUdaiMmzKeNkDpp1lRD6p49N8+D0Vv4qmQBEKB4Ukh2jfnvw==
+"@langchain/core@^1.1.38":
+  version "1.1.38"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
+  integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
   dependencies:
     "@cfworker/json-schema" "^4.0.2"
     "@standard-schema/spec" "^1.1.0"
@@ -914,23 +914,23 @@
   dependencies:
     uuid "^10.0.0"
 
-"@langchain/langgraph-sdk@~1.8.0":
-  version "1.8.0"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.0.tgz#aa62fd641a4ef964a57cea7a7c11e662e8082fb8"
-  integrity sha512-TPowjgfLjRll4zUDiOUVgd8qLgSOhy5uHt0sWhpvxgQd+dcUs4x/3nKjrepSvmp24KQKbF6GJy6MaHBDj3Ubtw==
+"@langchain/langgraph-sdk@~1.8.1":
+  version "1.8.3"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
+  integrity sha512-Py0S5yVtlOHz410aEsSGLRKjtsK2giDvfPS1JjAjTdcs71khuJufFtUZFwmwdJCbsG4DaGurRLHOAJu9jO4a0g==
   dependencies:
     "@types/json-schema" "^7.0.15"
     p-queue "^9.0.1"
     p-retry "^7.1.1"
     uuid "^13.0.0"
 
-"@langchain/langgraph@^1.2.5":
-  version "1.2.5"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.5.tgz#f4285b77baee945092795c2989bdd6589dc5b142"
-  integrity sha512-O/ROF1oaXN7VK6+WTpXsDvJp7L+YyTOHa9rt3L85jrvwxBqQQRIlRLOWT8ehB/ywE3M1K7WAWOAXbmorCYzviQ==
+"@langchain/langgraph@^1.2.6":
+  version "1.2.6"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
+  integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
   dependencies:
     "@langchain/langgraph-checkpoint" "^1.0.1"
-    "@langchain/langgraph-sdk" "~1.8.0"
+    "@langchain/langgraph-sdk" "~1.8.1"
     "@standard-schema/spec" "1.1.0"
     uuid "^10.0.0"
 
@@ -1086,11 +1086,6 @@
   resolved "https://registry.yarnpkg.com/@types/stack-utils/-/stack-utils-2.0.3.tgz#6209321eb2c1712a7e7466422b8cb1fc0d9dd5d8"
   integrity sha512-9aEbYZ3TbYMznPdcdr3SmIrLXwC/AKZXQeCf9Pgao5CKb8CyHuEX5jzWPTkvregvhRJHcpRO6BFoGW9ycaOkYw==
 
-"@types/uuid@^10.0.0":
-  version "10.0.0"
-  resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
-  integrity sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==
-
 "@types/yargs-parser@*":
   version "21.0.3"
   resolved "https://registry.yarnpkg.com/@types/yargs-parser/-/yargs-parser-21.0.3.tgz#815e30b786d2e8f0dcd85fd5bcf5e1a04d008f15"
@@ -1103,100 +1098,100 @@
   dependencies:
     "@types/yargs-parser" "*"
 
-"@typescript-eslint/eslint-plugin@^8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.57.2.tgz#ad0dcefeca9c2ecbe09f730d478063666aee010b"
-  integrity sha512-NZZgp0Fm2IkD+La5PR81sd+g+8oS6JwJje+aRWsDocxHkjyRw0J5L5ZTlN3LI1LlOcGL7ph3eaIUmTXMIjLk0w==
+"@typescript-eslint/eslint-plugin@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
+  integrity sha512-RLkVSiNuUP1C2ROIWfqX+YcUfLaSnxGE/8M+Y57lopVwg9VTYYfhuz15Yf1IzCKgZj6/rIbYTmJCUSqr76r0Wg==
   dependencies:
     "@eslint-community/regexpp" "^4.12.2"
-    "@typescript-eslint/scope-manager" "8.57.2"
-    "@typescript-eslint/type-utils" "8.57.2"
-    "@typescript-eslint/utils" "8.57.2"
-    "@typescript-eslint/visitor-keys" "8.57.2"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/type-utils" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
     ignore "^7.0.5"
     natural-compare "^1.4.0"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"
 
-"@typescript-eslint/parser@^8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.57.2.tgz#b819955e39f976c0d4f95b5ed67fe22f85cd6898"
-  integrity sha512-30ScMRHIAD33JJQkgfGW1t8CURZtjc2JpTrq5n2HFhOefbAhb7ucc7xJwdWcrEtqUIYJ73Nybpsggii6GtAHjA==
+"@typescript-eslint/parser@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.58.0.tgz#da04ece1967b6c2fe8f10c3473dabf3825795ef7"
+  integrity sha512-rLoGZIf9afaRBYsPUMtvkDWykwXwUPL60HebR4JgTI8mxfFe2cQTu3AGitANp4b9B2QlVru6WzjgB2IzJKiCSA==
   dependencies:
-    "@typescript-eslint/scope-manager" "8.57.2"
-    "@typescript-eslint/types" "8.57.2"
-    "@typescript-eslint/typescript-estree" "8.57.2"
-    "@typescript-eslint/visitor-keys" "8.57.2"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
     debug "^4.4.3"
 
-"@typescript-eslint/project-service@8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.57.2.tgz#dfbc7777f9f633f2b06b558cda3836e76f856e3c"
-  integrity sha512-FuH0wipFywXRTHf+bTTjNyuNQQsQC3qh/dYzaM4I4W0jrCqjCVuUh99+xd9KamUfmCGPvbO8NDngo/vsnNVqgw==
+"@typescript-eslint/project-service@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.58.0.tgz#66ceda0aabf7427aec3e2713fa43eb278dead2aa"
+  integrity sha512-8Q/wBPWLQP1j16NxoPNIKpDZFMaxl7yWIoqXWYeWO+Bbd2mjgvoF0dxP2jKZg5+x49rgKdf7Ck473M8PC3V9lg==
   dependencies:
-    "@typescript-eslint/tsconfig-utils" "^8.57.2"
-    "@typescript-eslint/types" "^8.57.2"
+    "@typescript-eslint/tsconfig-utils" "^8.58.0"
+    "@typescript-eslint/types" "^8.58.0"
     debug "^4.4.3"
 
-"@typescript-eslint/scope-manager@8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.57.2.tgz#734dcde40677f430b5d963108337295bdbc09dae"
-  integrity sha512-snZKH+W4WbWkrBqj4gUNRIGb/jipDW3qMqVJ4C9rzdFc+wLwruxk+2a5D+uoFcKPAqyqEnSb4l2ULuZf95eSkw==
+"@typescript-eslint/scope-manager@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.58.0.tgz#e304142775e49a1b7ac3c8bf2536714447c72cab"
+  integrity sha512-W1Lur1oF50FxSnNdGp3Vs6P+yBRSmZiw4IIjEeYxd8UQJwhUF0gDgDD/W/Tgmh73mxgEU3qX0Bzdl/NGuSPEpQ==
   dependencies:
-    "@typescript-eslint/types" "8.57.2"
-    "@typescript-eslint/visitor-keys" "8.57.2"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
 
-"@typescript-eslint/tsconfig-utils@8.57.2", "@typescript-eslint/tsconfig-utils@^8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.57.2.tgz#cf82dc11e884103ec13188a7352591efaa1a887e"
-  integrity sha512-3Lm5DSM+DCowsUOJC+YqHHnKEfFh5CoGkj5Z31NQSNF4l5wdOwqGn99wmwN/LImhfY3KJnmordBq/4+VDe2eKw==
+"@typescript-eslint/tsconfig-utils@8.58.0", "@typescript-eslint/tsconfig-utils@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.58.0.tgz#c5a8edb21f31e0fdee565724e1b984171c559482"
+  integrity sha512-doNSZEVJsWEu4htiVC+PR6NpM+pa+a4ClH9INRWOWCUzMst/VA9c4gXq92F8GUD1rwhNvRLkgjfYtFXegXQF7A==
 
-"@typescript-eslint/type-utils@8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.57.2.tgz#3ec65a94e73776252991a3cf0a15d220734c28f5"
-  integrity sha512-Co6ZCShm6kIbAM/s+oYVpKFfW7LBc6FXoPXjTRQ449PPNBY8U0KZXuevz5IFuuUj2H9ss40atTaf9dlGLzbWZg==
+"@typescript-eslint/type-utils@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.58.0.tgz#ce0e72cd967ffbbe8de322db6089bd4374be352f"
+  integrity sha512-aGsCQImkDIqMyx1u4PrVlbi/krmDsQUs4zAcCV6M7yPcPev+RqVlndsJy9kJ8TLihW9TZ0kbDAzctpLn5o+lOg==
   dependencies:
-    "@typescript-eslint/types" "8.57.2"
-    "@typescript-eslint/typescript-estree" "8.57.2"
-    "@typescript-eslint/utils" "8.57.2"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
     debug "^4.4.3"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"
 
-"@typescript-eslint/types@8.57.2", "@typescript-eslint/types@^8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.57.2.tgz#efe0da4c28b505ed458f113aa960dce2c5c671f4"
-  integrity sha512-/iZM6FnM4tnx9csuTxspMW4BOSegshwX5oBDznJ7S4WggL7Vczz5d2W11ecc4vRrQMQHXRSxzrCsyG5EsPPTbA==
+"@typescript-eslint/types@8.58.0", "@typescript-eslint/types@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.58.0.tgz#e94ae7abdc1c6530e71183c1007b61fa93112a5a"
+  integrity sha512-O9CjxypDT89fbHxRfETNoAnHj/i6IpRK0CvbVN3qibxlLdo5p5hcLmUuCCrHMpxiWSwKyI8mCP7qRNYuOJ0Uww==
 
-"@typescript-eslint/typescript-estree@8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.57.2.tgz#432e61a6cf2ab565837da387e5262c159672abea"
-  integrity sha512-2MKM+I6g8tJxfSmFKOnHv2t8Sk3T6rF20A1Puk0svLK+uVapDZB/4pfAeB7nE83uAZrU6OxW+HmOd5wHVdXwXA==
+"@typescript-eslint/typescript-estree@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.58.0.tgz#ed233faa8e2f2a2e1357c3e7d553d6465a0ee59a"
+  integrity sha512-7vv5UWbHqew/dvs+D3e1RvLv1v2eeZ9txRHPnEEBUgSNLx5ghdzjHa0sgLWYVKssH+lYmV0JaWdoubo0ncGYLA==
   dependencies:
-    "@typescript-eslint/project-service" "8.57.2"
-    "@typescript-eslint/tsconfig-utils" "8.57.2"
-    "@typescript-eslint/types" "8.57.2"
-    "@typescript-eslint/visitor-keys" "8.57.2"
+    "@typescript-eslint/project-service" "8.58.0"
+    "@typescript-eslint/tsconfig-utils" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
     debug "^4.4.3"
     minimatch "^10.2.2"
     semver "^7.7.3"
     tinyglobby "^0.2.15"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"
 
-"@typescript-eslint/utils@8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.57.2.tgz#46a8974c24326fb8899486728428a0f1a3115014"
-  integrity sha512-krRIbvPK1ju1WBKIefiX+bngPs+odIQUtR7kymzPfo1POVw3jlF+nLkmexdSSd4UCbDcQn+wMBATOOmpBbqgKg==
+"@typescript-eslint/utils@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.58.0.tgz#21a74a7963b0d288b719a4121c7dd555adaab3c3"
+  integrity sha512-RfeSqcFeHMHlAWzt4TBjWOAtoW9lnsAGiP3GbaX9uVgTYYrMbVnGONEfUCiSss+xMHFl+eHZiipmA8WkQ7FuNA==
   dependencies:
     "@eslint-community/eslint-utils" "^4.9.1"
-    "@typescript-eslint/scope-manager" "8.57.2"
-    "@typescript-eslint/types" "8.57.2"
-    "@typescript-eslint/typescript-estree" "8.57.2"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
 
-"@typescript-eslint/visitor-keys@8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.57.2.tgz#a5c9605774247336c0412beb7dc288ab2a07c11e"
-  integrity sha512-zhahknjobV2FiD6Ee9iLbS7OV9zi10rG26odsQdfBO/hjSzUQbkIYgda+iNKK1zNiW2ey+Lf8MU5btN17V3dUw==
+"@typescript-eslint/visitor-keys@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.58.0.tgz#2abd55a4be70fd55967aceaba4330b9ba9f45189"
+  integrity sha512-XJ9UD9+bbDo4a4epraTwG3TsNPeiB9aShrUneAVXy8q4LuwowN+qu89/6ByLMINqvIMeI9H9hOHQtg/ijrYXzQ==
   dependencies:
-    "@typescript-eslint/types" "8.57.2"
+    "@typescript-eslint/types" "8.58.0"
     eslint-visitor-keys "^5.0.0"
 
 "@ungap/structured-clone@^1.3.0":
@@ -1782,13 +1777,6 @@ concat-map@0.0.1:
   resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
   integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==
 
-console-table-printer@^2.12.1:
-  version "2.15.0"
-  resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.15.0.tgz#5c808204640b8f024d545bde8aabe5d344dfadc1"
-  integrity sha512-SrhBq4hYVjLCkBVOWaTzceJalvn5K1Zq5aQA6wXC/cYjI3frKWNPEMK3sZsJfNNQApvCQmgBcc13ZKmFj8qExw==
-  dependencies:
-    simple-wcswidth "^1.1.2"
-
 convert-source-map@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/convert-source-map/-/convert-source-map-2.0.0.tgz#4b560f649fc4e918dd0ab75cf4961e8bc882d82a"
@@ -3688,16 +3676,12 @@ keyv@^4.5.4:
     json-buffer "3.0.1"
 
 "langsmith@>=0.5.0 <1.0.0":
-  version "0.5.4"
-  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
-  integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
+  version "0.5.20"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
+  integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
   dependencies:
-    "@types/uuid" "^10.0.0"
-    chalk "^4.1.2"
-    console-table-printer "^2.12.1"
-    p-queue "^6.6.2"
-    semver "^7.6.3"
-    uuid "^10.0.0"
+    p-queue "6.6.2"
+    uuid "10.0.0"
 
 leven@^3.1.0:
   version "3.1.0"
@@ -4007,7 +3991,7 @@ p-locate@^5.0.0:
   dependencies:
     p-limit "^3.0.2"
 
-p-queue@^6.6.2:
+p-queue@6.6.2, p-queue@^6.6.2:
   version "6.6.2"
   resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
   integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
@@ -4303,7 +4287,7 @@ semver@^6.3.1:
   resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
   integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
 
-semver@^7.5.3, semver@^7.5.4, semver@^7.6.3, semver@^7.7.2, semver@^7.7.3:
+semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3:
   version "7.7.4"
   resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
   integrity sha512-vFKC2IEtQnVhpT78h1Yp8wzwrf8CM+MzKMHGJZfBtzhZNycRFnXsHk6E5TxIkkMsgNS7mdX3AGB7x2QM2di4lA==
@@ -4411,11 +4395,6 @@ signal-exit@^4.0.1:
   resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.1.0.tgz#952188c1cbd546070e2dd20d0f41c0ae0530cb04"
   integrity sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==
 
-simple-wcswidth@^1.1.2:
-  version "1.1.2"
-  resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
-  integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
-
 slash@^3.0.0:
   version "3.0.0"
   resolved "https://registry.yarnpkg.com/slash/-/slash-3.0.0.tgz#6539be870c165adbd5240220dbe361f1bc4d4634"
@@ -4639,10 +4618,10 @@ to-regex-range@^5.0.1:
   dependencies:
     is-number "^7.0.0"
 
-ts-api-utils@^2.4.0:
-  version "2.4.0"
-  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.4.0.tgz#2690579f96d2790253bdcf1ca35d569ad78f9ad8"
-  integrity sha512-3TaVTaAv2gTiMB35i3FiGJaRfwb3Pyn/j3m/bfAvGe8FB7CF6u+LMYqYlDh7reQf7UNvoTvdfAqHGmPGOSsPmA==
+ts-api-utils@^2.5.0:
+  version "2.5.0"
+  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
+  integrity sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==
 
 ts-jest@^29.4.6:
   version "29.4.6"
@@ -4870,7 +4849,7 @@ uri-js@^4.2.2:
   dependencies:
     punycode "^2.1.0"
 
-uuid@^10.0.0:
+uuid@10.0.0, uuid@^10.0.0:
   version "10.0.0"
   resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
   integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==

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

@@ -9,8 +9,8 @@
   },
   "dependencies": {
     "@js-monorepo-example/shared": "*",
-    "@langchain/core": "^1.1.35",
-    "@langchain/langgraph": "^1.2.5"
+    "@langchain/core": "^1.1.38",
+    "@langchain/langgraph": "^1.2.6"
   },
   "devDependencies": {
     "typescript": "^5.9.3"

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

@@ -17,7 +17,7 @@
     "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
   },
   "devDependencies": {
-    "turbo": "^2.8.20",
+    "turbo": "^2.9.3",
     "typescript": "^5.9.3",
     "@tsconfig/recommended": "^1.0.13",
     "@eslint/eslintrc": "^3.3.5",
@@ -27,8 +27,8 @@
     "eslint-plugin-import": "^2.27.5",
     "eslint-plugin-no-instanceof": "^1.0.1",
     "eslint-plugin-prettier": "^5.5.5",
-    "@typescript-eslint/eslint-plugin": "^8.57.1",
-    "@typescript-eslint/parser": "^8.57.1",
+    "@typescript-eslint/eslint-plugin": "^8.58.0",
+    "@typescript-eslint/parser": "^8.58.0",
     "prettier": "^3.8.1"
   }
 }

libs/cli/js-monorepo-example/yarn.lock

@@ -103,10 +103,10 @@
   resolved "https://registry.yarnpkg.com/@isaacs/cliui/-/cliui-9.0.0.tgz#4d0a3f127058043bf2e7ee169eaf30ed901302f3"
   integrity sha512-AokJm4tuBHillT+FpMtxQ60n8ObyXBatq7jD2/JA9dxbDDokKQm8KMht5ibGzLVU9IJDIKK4TPKgMHEYMn3lMg==
 
-"@langchain/core@^1.1.35":
-  version "1.1.35"
-  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.35.tgz#4c681cc9af3d59d139f6272768dd30361dccd518"
-  integrity sha512-TM0idLSAx17IEMqEIN7F8MDdXpN53p4A4vhhjZxf7LedwShB/8Zx1F5D5Nq1Bbn0zh9QDzSHpWyfCrTtggKf7g==
+"@langchain/core@^1.1.38":
+  version "1.1.38"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
+  integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
   dependencies:
     "@cfworker/json-schema" "^4.0.2"
     "@standard-schema/spec" "^1.1.0"
@@ -127,23 +127,23 @@
   dependencies:
     uuid "^10.0.0"
 
-"@langchain/langgraph-sdk@~1.8.0":
-  version "1.8.0"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.0.tgz#aa62fd641a4ef964a57cea7a7c11e662e8082fb8"
-  integrity sha512-TPowjgfLjRll4zUDiOUVgd8qLgSOhy5uHt0sWhpvxgQd+dcUs4x/3nKjrepSvmp24KQKbF6GJy6MaHBDj3Ubtw==
+"@langchain/langgraph-sdk@~1.8.1":
+  version "1.8.3"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
+  integrity sha512-Py0S5yVtlOHz410aEsSGLRKjtsK2giDvfPS1JjAjTdcs71khuJufFtUZFwmwdJCbsG4DaGurRLHOAJu9jO4a0g==
   dependencies:
     "@types/json-schema" "^7.0.15"
     p-queue "^9.0.1"
     p-retry "^7.1.1"
     uuid "^13.0.0"
 
-"@langchain/langgraph@^1.2.5":
-  version "1.2.5"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.5.tgz#f4285b77baee945092795c2989bdd6589dc5b142"
-  integrity sha512-O/ROF1oaXN7VK6+WTpXsDvJp7L+YyTOHa9rt3L85jrvwxBqQQRIlRLOWT8ehB/ywE3M1K7WAWOAXbmorCYzviQ==
+"@langchain/langgraph@^1.2.6":
+  version "1.2.6"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
+  integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
   dependencies:
     "@langchain/langgraph-checkpoint" "^1.0.1"
-    "@langchain/langgraph-sdk" "~1.8.0"
+    "@langchain/langgraph-sdk" "~1.8.1"
     "@standard-schema/spec" "1.1.0"
     uuid "^10.0.0"
 
@@ -167,35 +167,35 @@
   resolved "https://registry.yarnpkg.com/@tsconfig/recommended/-/recommended-1.0.13.tgz#269fce3ad04ca70b93269ff44cca81b950f542da"
   integrity sha512-sySRuBfMKyKO/j2ZAhR8kSembhjuPEV4Ra3AHtmWLq51+iGaudr45crPSzNC5b7/Ctrh9dfUpBuTlYrH6rM58Q==
 
-"@turbo/darwin-64@2.8.20":
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.8.20.tgz#6ebc903fbfe31db85f67b84af69e84822765cbf4"
-  integrity sha512-FQ9EX1xMU5nbwjxXxM3yU88AQQ6Sqc6S44exPRroMcx9XZHqqppl5ymJF0Ig/z3nvQNwDmz1Gsnvxubo+nXWjQ==
+"@turbo/darwin-64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.3.tgz#5d782d341ddebc20822d09ba1393238d4467ae7b"
+  integrity sha512-P8foouaP+y/p+hhEGBoZpzMbpVvUMwPjDpcy6wN7EYfvvyISD1USuV27qWkczecihwuPJzQ1lDBuL8ERcavTyg==
 
-"@turbo/darwin-arm64@2.8.20":
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.8.20.tgz#f02fdd818bfe610240c1a60865eeb9ca338160f5"
-  integrity sha512-Gpyh9ATFGThD6/s9L95YWY54cizg/VRWl2B67h0yofG8BpHf67DFAh9nuJVKG7bY0+SBJDAo5cMur+wOl9YOYw==
+"@turbo/darwin-arm64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.3.tgz#75cd662d9c2a572532ce82d7cae1a30e2497d693"
+  integrity sha512-SIzEkvtNdzdI50FJDaIQ6kQGqgSSdFPcdn0wqmmONN6iGKjy6hsT+EH99GP65FsfV7DLZTh2NmtTIRl2kdoz5Q==
 
-"@turbo/linux-64@2.8.20":
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.8.20.tgz#51faba95b242731b0beae9811724b3eeee6aa0a1"
-  integrity sha512-p2QxWUYyYUgUFG0b0kR+pPi8t7c9uaVlRtjTTI1AbCvVqkpjUfCcReBn6DgG/Hu8xrWdKLuyQFaLYFzQskZbcA==
+"@turbo/linux-64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.3.tgz#de693a996071654a0bea51c7ed9dc6fdc3950ae8"
+  integrity sha512-pLRwFmcHHNBvsCySLS6OFabr/07kDT2pxEt/k6eBf/3asiVQZKJ7Rk88AafQx2aYA641qek4RsXvYO3JYpiBug==
 
-"@turbo/linux-arm64@2.8.20":
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.8.20.tgz#4c466ec09a2c2e6513df94d703660bb6efa61614"
-  integrity sha512-Gn5yjlZGLRZWarLWqdQzv0wMqyBNIdq1QLi48F1oY5Lo9kiohuf7BPQWtWxeNVS2NgJ1+nb/DzK1JduYC4AWOA==
+"@turbo/linux-arm64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.3.tgz#88fc6fe572d83c5488eeae9b564b57c335f4d856"
+  integrity sha512-gy6ApUroC2Nzv+qjGtE/uPNkhHAFU4c8God+zd5Aiv9L9uBgHlxVJpHT3XWl5xwlJZ2KWuMrlHTaS5kmNB+q1Q==
 
-"@turbo/windows-64@2.8.20":
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.8.20.tgz#b8f23ff1d5ddf9b1abe41db2b1cb35b13066c063"
-  integrity sha512-vyaDpYk/8T6Qz5V/X+ihKvKFEZFUoC0oxYpC1sZanK6gaESJlmV3cMRT3Qhcg4D2VxvtC2Jjs9IRkrZGL+exLw==
+"@turbo/windows-64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.3.tgz#a7812e4f33972f74daed93b2ac8845f88a68c775"
+  integrity sha512-d0YelTX6hAsB7kIEtGB3PzIzSfAg3yDoUlHwuwJc3adBXUsyUIs0YLG+1NNtuhcDOUGnWQeKUoJ2pGWvbpRj7w==
 
-"@turbo/windows-arm64@2.8.20":
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.8.20.tgz#8032d42c6cfd954d3c381720d5a65dc3e7ea3014"
-  integrity sha512-voicVULvUV5yaGXo0Iue13BcHGYW3u0VgqSbfQwBaHbpj1zLjYV4KIe+7fYIo6DO8FVUJzxFps3ODCQG/Wy2Qw==
+"@turbo/windows-arm64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.3.tgz#1891a89fe87d501e63a7a4367082f3afec18fa6f"
+  integrity sha512-/08CwpKJl3oRY8nOlh2YgilZVJDHsr60XTNxRhuDeuFXONpUZ5X+Nv65izbG/xBew9qxcJFbDX9/sAmAX+ITcQ==
 
 "@types/esrecurse@^4.3.1":
   version "4.3.1"
@@ -217,105 +217,100 @@
   resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
   integrity sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ==
 
-"@types/uuid@^10.0.0":
-  version "10.0.0"
-  resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
-  integrity sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==
-
-"@typescript-eslint/eslint-plugin@^8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.57.1.tgz#ddfdfb30f8b5ccee7f3c21798b377c51370edd55"
-  integrity sha512-Gn3aqnvNl4NGc6x3/Bqk1AOn0thyTU9bqDRhiRnUWezgvr2OnhYCWCgC8zXXRVqBsIL1pSDt7T9nJUe0oM0kDQ==
+"@typescript-eslint/eslint-plugin@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
+  integrity sha512-RLkVSiNuUP1C2ROIWfqX+YcUfLaSnxGE/8M+Y57lopVwg9VTYYfhuz15Yf1IzCKgZj6/rIbYTmJCUSqr76r0Wg==
   dependencies:
     "@eslint-community/regexpp" "^4.12.2"
-    "@typescript-eslint/scope-manager" "8.57.1"
-    "@typescript-eslint/type-utils" "8.57.1"
-    "@typescript-eslint/utils" "8.57.1"
-    "@typescript-eslint/visitor-keys" "8.57.1"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/type-utils" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
     ignore "^7.0.5"
     natural-compare "^1.4.0"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"
 
-"@typescript-eslint/parser@^8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.57.1.tgz#d523e559b148264055c0a49a29d5f50c7de659c2"
-  integrity sha512-k4eNDan0EIMTT/dUKc/g+rsJ6wcHYhNPdY19VoX/EOtaAG8DLtKCykhrUnuHPYvinn5jhAPgD2Qw9hXBwrahsw==
+"@typescript-eslint/parser@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.58.0.tgz#da04ece1967b6c2fe8f10c3473dabf3825795ef7"
+  integrity sha512-rLoGZIf9afaRBYsPUMtvkDWykwXwUPL60HebR4JgTI8mxfFe2cQTu3AGitANp4b9B2QlVru6WzjgB2IzJKiCSA==
   dependencies:
-    "@typescript-eslint/scope-manager" "8.57.1"
-    "@typescript-eslint/types" "8.57.1"
-    "@typescript-eslint/typescript-estree" "8.57.1"
-    "@typescript-eslint/visitor-keys" "8.57.1"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
     debug "^4.4.3"
 
-"@typescript-eslint/project-service@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.57.1.tgz#16af9fe16eedbd7085e4fdc29baa73715c0c55c5"
-  integrity sha512-vx1F37BRO1OftsYlmG9xay1TqnjNVlqALymwWVuYTdo18XuKxtBpCj1QlzNIEHlvlB27osvXFWptYiEWsVdYsg==
+"@typescript-eslint/project-service@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.58.0.tgz#66ceda0aabf7427aec3e2713fa43eb278dead2aa"
+  integrity sha512-8Q/wBPWLQP1j16NxoPNIKpDZFMaxl7yWIoqXWYeWO+Bbd2mjgvoF0dxP2jKZg5+x49rgKdf7Ck473M8PC3V9lg==
   dependencies:
-    "@typescript-eslint/tsconfig-utils" "^8.57.1"
-    "@typescript-eslint/types" "^8.57.1"
+    "@typescript-eslint/tsconfig-utils" "^8.58.0"
+    "@typescript-eslint/types" "^8.58.0"
     debug "^4.4.3"
 
-"@typescript-eslint/scope-manager@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.57.1.tgz#4524d7e7b420cb501807499684d435ae129aaf35"
-  integrity sha512-hs/QcpCwlwT2L5S+3fT6gp0PabyGk4Q0Rv2doJXA0435/OpnSR3VRgvrp8Xdoc3UAYSg9cyUjTeFXZEPg/3OKg==
+"@typescript-eslint/scope-manager@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.58.0.tgz#e304142775e49a1b7ac3c8bf2536714447c72cab"
+  integrity sha512-W1Lur1oF50FxSnNdGp3Vs6P+yBRSmZiw4IIjEeYxd8UQJwhUF0gDgDD/W/Tgmh73mxgEU3qX0Bzdl/NGuSPEpQ==
   dependencies:
-    "@typescript-eslint/types" "8.57.1"
-    "@typescript-eslint/visitor-keys" "8.57.1"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
 
-"@typescript-eslint/tsconfig-utils@8.57.1", "@typescript-eslint/tsconfig-utils@^8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.57.1.tgz#9233443ec716882a6f9e240fd900a73f0235f3d7"
-  integrity sha512-0lgOZB8cl19fHO4eI46YUx2EceQqhgkPSuCGLlGi79L2jwYY1cxeYc1Nae8Aw1xjgW3PKVDLlr3YJ6Bxx8HkWg==
+"@typescript-eslint/tsconfig-utils@8.58.0", "@typescript-eslint/tsconfig-utils@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.58.0.tgz#c5a8edb21f31e0fdee565724e1b984171c559482"
+  integrity sha512-doNSZEVJsWEu4htiVC+PR6NpM+pa+a4ClH9INRWOWCUzMst/VA9c4gXq92F8GUD1rwhNvRLkgjfYtFXegXQF7A==
 
-"@typescript-eslint/type-utils@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.57.1.tgz#c49af1347b5869ca85155547a8f34f84ab386fd9"
-  integrity sha512-+Bwwm0ScukFdyoJsh2u6pp4S9ktegF98pYUU0hkphOOqdMB+1sNQhIz8y5E9+4pOioZijrkfNO/HUJVAFFfPKA==
+"@typescript-eslint/type-utils@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.58.0.tgz#ce0e72cd967ffbbe8de322db6089bd4374be352f"
+  integrity sha512-aGsCQImkDIqMyx1u4PrVlbi/krmDsQUs4zAcCV6M7yPcPev+RqVlndsJy9kJ8TLihW9TZ0kbDAzctpLn5o+lOg==
   dependencies:
-    "@typescript-eslint/types" "8.57.1"
-    "@typescript-eslint/typescript-estree" "8.57.1"
-    "@typescript-eslint/utils" "8.57.1"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
     debug "^4.4.3"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"
 
-"@typescript-eslint/types@8.57.1", "@typescript-eslint/types@^8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.57.1.tgz#54b27a8a25a7b45b4f978c3f8e00c4c78f11142c"
-  integrity sha512-S29BOBPJSFUiblEl6RzPPjJt6w25A6XsBqRVDt53tA/tlL8q7ceQNZHTjPeONt/3S7KRI4quk+yP9jK2WjBiPQ==
+"@typescript-eslint/types@8.58.0", "@typescript-eslint/types@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.58.0.tgz#e94ae7abdc1c6530e71183c1007b61fa93112a5a"
+  integrity sha512-O9CjxypDT89fbHxRfETNoAnHj/i6IpRK0CvbVN3qibxlLdo5p5hcLmUuCCrHMpxiWSwKyI8mCP7qRNYuOJ0Uww==
 
-"@typescript-eslint/typescript-estree@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.57.1.tgz#a9fd28d4a0ec896aa9a9a7e0cead62ea24f99e76"
-  integrity sha512-ybe2hS9G6pXpqGtPli9Gx9quNV0TWLOmh58ADlmZe9DguLq0tiAKVjirSbtM1szG6+QH6rVXyU6GTLQbWnMY+g==
+"@typescript-eslint/typescript-estree@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.58.0.tgz#ed233faa8e2f2a2e1357c3e7d553d6465a0ee59a"
+  integrity sha512-7vv5UWbHqew/dvs+D3e1RvLv1v2eeZ9txRHPnEEBUgSNLx5ghdzjHa0sgLWYVKssH+lYmV0JaWdoubo0ncGYLA==
   dependencies:
-    "@typescript-eslint/project-service" "8.57.1"
-    "@typescript-eslint/tsconfig-utils" "8.57.1"
-    "@typescript-eslint/types" "8.57.1"
-    "@typescript-eslint/visitor-keys" "8.57.1"
+    "@typescript-eslint/project-service" "8.58.0"
+    "@typescript-eslint/tsconfig-utils" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
     debug "^4.4.3"
     minimatch "^10.2.2"
     semver "^7.7.3"
     tinyglobby "^0.2.15"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"
 
-"@typescript-eslint/utils@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.57.1.tgz#e40f5a7fcff02fd24092a7b52bd6ec029fb50465"
-  integrity sha512-XUNSJ/lEVFttPMMoDVA2r2bwrl8/oPx8cURtczkSEswY5T3AeLmCy+EKWQNdL4u0MmAHOjcWrqJp2cdvgjn8dQ==
+"@typescript-eslint/utils@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.58.0.tgz#21a74a7963b0d288b719a4121c7dd555adaab3c3"
+  integrity sha512-RfeSqcFeHMHlAWzt4TBjWOAtoW9lnsAGiP3GbaX9uVgTYYrMbVnGONEfUCiSss+xMHFl+eHZiipmA8WkQ7FuNA==
   dependencies:
     "@eslint-community/eslint-utils" "^4.9.1"
-    "@typescript-eslint/scope-manager" "8.57.1"
-    "@typescript-eslint/types" "8.57.1"
-    "@typescript-eslint/typescript-estree" "8.57.1"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
 
-"@typescript-eslint/visitor-keys@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.57.1.tgz#3af4f88118924d3be983d4b8ae84803f11fe4563"
-  integrity sha512-YWnmJkXbofiz9KbnbbwuA2rpGkFPLbAIetcCNO6mJ8gdhdZ/v7WDXsoGFAJuM6ikUFKTlSQnjWnVO4ux+UzS6A==
+"@typescript-eslint/visitor-keys@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.58.0.tgz#2abd55a4be70fd55967aceaba4330b9ba9f45189"
+  integrity sha512-XJ9UD9+bbDo4a4epraTwG3TsNPeiB9aShrUneAVXy8q4LuwowN+qu89/6ByLMINqvIMeI9H9hOHQtg/ijrYXzQ==
   dependencies:
-    "@typescript-eslint/types" "8.57.1"
+    "@typescript-eslint/types" "8.58.0"
     eslint-visitor-keys "^5.0.0"
 
 acorn-jsx@^5.3.2:
@@ -343,13 +338,6 @@ ajv@^6.14.0:
     json-schema-traverse "^0.4.1"
     uri-js "^4.2.2"
 
-ansi-styles@^4.1.0:
-  version "4.3.0"
-  resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-4.3.0.tgz#edd803628ae71c04c85ae7a0906edad34b648937"
-  integrity sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==
-  dependencies:
-    color-convert "^2.0.1"
-
 ansi-styles@^5.0.0:
   version "5.2.0"
   resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-5.2.0.tgz#07449690ad45777d1924ac2abb2fc8895dba836b"
@@ -508,38 +496,11 @@ camelcase@6:
   resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-6.3.0.tgz#5685b95eb209ac9c0c177467778c9c84df58ba9a"
   integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==
 
-chalk@^4.1.2:
-  version "4.1.2"
-  resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01"
-  integrity sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==
-  dependencies:
-    ansi-styles "^4.1.0"
-    supports-color "^7.1.0"
-
-color-convert@^2.0.1:
-  version "2.0.1"
-  resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-2.0.1.tgz#72d3a68d598c9bdb3af2ad1e84f21d896abd4de3"
-  integrity sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==
-  dependencies:
-    color-name "~1.1.4"
-
-color-name@~1.1.4:
-  version "1.1.4"
-  resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
-  integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
-
 concat-map@0.0.1:
   version "0.0.1"
   resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
   integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==
 
-console-table-printer@^2.12.1:
-  version "2.14.6"
-  resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.14.6.tgz#edfe0bf311fa2701922ed509443145ab51e06436"
-  integrity sha512-MCBl5HNVaFuuHW6FGbL/4fB7N/ormCy+tQ+sxTrF6QtSbSNETvPuOVbkJBhzDgYhvjWGrTma4eYJa37ZuoQsPw==
-  dependencies:
-    simple-wcswidth "^1.0.1"
-
 cross-spawn@^7.0.6:
   version "7.0.6"
   resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.6.tgz#8a58fe78f00dcd70c370451759dfbfaf03e8ee9f"
@@ -1059,11 +1020,6 @@ has-bigints@^1.0.2:
   resolved "https://registry.yarnpkg.com/has-bigints/-/has-bigints-1.1.0.tgz#28607e965ac967e03cd2a2c70a2636a1edad49fe"
   integrity sha512-R3pbpkcIqv2Pm3dUwgjclDRVmWpTJW2DcMzcIhEXEx1oh/CEMObMm3KLmRJOdvhM7o4uQBnwr8pzRK2sJWIqfg==
 
-has-flag@^4.0.0:
-  version "4.0.0"
-  resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-4.0.0.tgz#944771fd9c81c81265c4d6941860da06bb59479b"
-  integrity sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==
-
 has-property-descriptors@^1.0.0, has-property-descriptors@^1.0.2:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/has-property-descriptors/-/has-property-descriptors-1.0.2.tgz#963ed7d071dc7bf5f084c5bfbe0d1b6222586854"
@@ -1372,16 +1328,12 @@ keyv@^4.5.4:
     json-buffer "3.0.1"
 
 "langsmith@>=0.5.0 <1.0.0":
-  version "0.5.4"
-  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
-  integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
+  version "0.5.20"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
+  integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
   dependencies:
-    "@types/uuid" "^10.0.0"
-    chalk "^4.1.2"
-    console-table-printer "^2.12.1"
-    p-queue "^6.6.2"
-    semver "^7.6.3"
-    uuid "^10.0.0"
+    p-queue "6.6.2"
+    uuid "10.0.0"
 
 levn@^0.4.1:
   version "0.4.1"
@@ -1528,7 +1480,7 @@ p-locate@^5.0.0:
   dependencies:
     p-limit "^3.0.2"
 
-p-queue@^6.6.2:
+p-queue@6.6.2, p-queue@^6.6.2:
   version "6.6.2"
   resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
   integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
@@ -1690,11 +1642,6 @@ semver@^6.3.1:
   resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
   integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
 
-semver@^7.6.3:
-  version "7.7.2"
-  resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.2.tgz#67d99fdcd35cec21e6f8b87a7fd515a33f982b58"
-  integrity sha512-RF0Fw+rO5AMf9MAyaRXI4AV0Ulj5lMHqVxxdSgiVbixSCXoEmmX/jk0CuJw4+3SqroYO9VoUh+HcuJivvtJemA==
-
 semver@^7.7.3:
   version "7.7.4"
   resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
@@ -1783,11 +1730,6 @@ side-channel@^1.1.0:
     side-channel-map "^1.0.1"
     side-channel-weakmap "^1.0.2"
 
-simple-wcswidth@^1.0.1:
-  version "1.1.2"
-  resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
-  integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
-
 stop-iteration-iterator@^1.1.0:
   version "1.1.0"
   resolved "https://registry.yarnpkg.com/stop-iteration-iterator/-/stop-iteration-iterator-1.1.0.tgz#f481ff70a548f6124d0312c3aa14cbfa7aa542ad"
@@ -1838,13 +1780,6 @@ strip-json-comments@^3.1.1:
   resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-3.1.1.tgz#31f1281b3832630434831c310c01cccda8cbe006"
   integrity sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig==
 
-supports-color@^7.1.0:
-  version "7.2.0"
-  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-7.2.0.tgz#1b7dcdcb32b8138801b3e478ba6a51caa89648da"
-  integrity sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==
-  dependencies:
-    has-flag "^4.0.0"
-
 supports-preserve-symlinks-flag@^1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
@@ -1865,10 +1800,10 @@ tinyglobby@^0.2.15:
     fdir "^6.5.0"
     picomatch "^4.0.3"
 
-ts-api-utils@^2.4.0:
-  version "2.4.0"
-  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.4.0.tgz#2690579f96d2790253bdcf1ca35d569ad78f9ad8"
-  integrity sha512-3TaVTaAv2gTiMB35i3FiGJaRfwb3Pyn/j3m/bfAvGe8FB7CF6u+LMYqYlDh7reQf7UNvoTvdfAqHGmPGOSsPmA==
+ts-api-utils@^2.5.0:
+  version "2.5.0"
+  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
+  integrity sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==
 
 tsconfig-paths@^3.15.0:
   version "3.15.0"
@@ -1880,17 +1815,17 @@ tsconfig-paths@^3.15.0:
     minimist "^1.2.6"
     strip-bom "^3.0.0"
 
-turbo@^2.8.20:
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.8.20.tgz#1632aff5453240f5e96597b6439cc7e70cd871e8"
-  integrity sha512-Rb4qk5YT8RUwwdXtkLpkVhNEe/lor6+WV7S5tTlLpxSz6MjV5Qi8jGNn4gS6NAvrYGA/rNrE6YUQM85sCZUDbQ==
+turbo@^2.9.3:
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.3.tgz#4f0adf2c8677edd7b46d400629c99e9e26e58e44"
+  integrity sha512-J/VUvsGRykPb9R8Kh8dHVBOqioDexLk9BhLCU/ZybRR+HN9UR3cURdazFvNgMDt9zPP8TF6K73Z+tplfmi0PqQ==
   optionalDependencies:
-    "@turbo/darwin-64" "2.8.20"
-    "@turbo/darwin-arm64" "2.8.20"
-    "@turbo/linux-64" "2.8.20"
-    "@turbo/linux-arm64" "2.8.20"
-    "@turbo/windows-64" "2.8.20"
-    "@turbo/windows-arm64" "2.8.20"
+    "@turbo/darwin-64" "2.9.3"
+    "@turbo/darwin-arm64" "2.9.3"
+    "@turbo/linux-64" "2.9.3"
+    "@turbo/linux-arm64" "2.9.3"
+    "@turbo/windows-64" "2.9.3"
+    "@turbo/windows-arm64" "2.9.3"
 
 type-check@^0.4.0, type-check@~0.4.0:
   version "0.4.0"
@@ -1966,7 +1901,7 @@ uri-js@^4.2.2:
   dependencies:
     punycode "^2.1.0"
 
-uuid@^10.0.0:
+uuid@10.0.0, uuid@^10.0.0:
   version "10.0.0"
   resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
   integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.19"
+__version__ = "0.4.22"

libs/cli/langgraph_cli/analytics.py

@@ -26,8 +26,15 @@ class LogData(TypedDict):
     params: dict[str, Any]
 
 
-def get_anonymized_params(kwargs: dict[str, Any]) -> dict[str, bool]:
-    params = {}
+def get_anonymized_params(
+    kwargs: dict[str, Any], *, cli_command: str
+) -> dict[str, bool | str]:
+    params: dict[str, bool | str] = {}
+
+    if cli_command == "deploy" and (
+        analytics_source := os.getenv("LANGGRAPH_CLI_ANALYTICS_SOURCE")
+    ):
+        params["source"] = analytics_source
 
     # anonymize params with values
     if config := kwargs.get("config"):
@@ -88,7 +95,7 @@ def log_command(func):
             "python_version": platform.python_version(),
             "cli_version": __version__,
             "cli_command": func.__name__,
-            "params": get_anonymized_params(kwargs),
+            "params": get_anonymized_params(kwargs, cli_command=func.__name__),
         }
 
         background_thread = threading.Thread(target=log_data, args=(data,))

libs/cli/langgraph_cli/archive.py

@@ -0,0 +1,161 @@
+"""Create a tarball of project source for remote builds."""
+
+import os
+import pathlib
+import tarfile
+import tempfile
+from contextlib import contextmanager
+
+import click
+import pathspec
+
+from langgraph_cli.config import Config, _assemble_local_deps
+
+_WARN_SIZE = 50 * 1024 * 1024  # 50 MB
+_MAX_SIZE = 200 * 1024 * 1024  # 200 MB
+
+_ALWAYS_EXCLUDE = [
+    "__pycache__/",
+    ".git/",
+    ".venv/",
+    "venv/",
+    "node_modules/",
+    ".tox/",
+    ".mypy_cache/",
+]
+
+
+def _build_ignore_spec(directory: pathlib.Path) -> pathspec.PathSpec:
+    """Build a PathSpec combining built-in exclusions with .dockerignore and .gitignore.
+
+    Always excludes common non-source directories (_ALWAYS_EXCLUDE).  On top of
+    that, patterns from .dockerignore and .gitignore (if present) are merged in.
+    """
+    lines: list[str] = list(_ALWAYS_EXCLUDE)
+    for name in (".dockerignore", ".gitignore"):
+        ignore_file = directory / name
+        if ignore_file.is_file():
+            lines.extend(ignore_file.read_text(encoding="utf-8").splitlines())
+    return pathspec.PathSpec.from_lines("gitwildmatch", lines)
+
+
+def _tar_filter(tarinfo: tarfile.TarInfo) -> tarfile.TarInfo | None:
+    """Strip symlinks, hardlinks, and traversal paths from archive."""
+    if tarinfo.issym() or tarinfo.islnk():
+        return None
+    if ".." in tarinfo.name.split("/"):
+        return None
+    return tarinfo
+
+
+def _add_directory(
+    tar: tarfile.TarFile,
+    source_dir: pathlib.Path,
+    arcname_prefix: str | None,
+    ignore_spec: pathspec.PathSpec,
+) -> None:
+    """Recursively add a directory to the tarball under the given prefix.
+
+    If arcname_prefix is None, files are added at the archive root.
+    Paths matching ignore_spec are excluded.
+    """
+    for root, dirs, files in os.walk(source_dir):
+        rel_root = os.path.relpath(root, source_dir).replace(os.sep, "/")
+        dirs[:] = [
+            d
+            for d in dirs
+            if not ignore_spec.match_file(
+                f"{rel_root}/{d}/" if rel_root != "." else f"{d}/"
+            )
+        ]
+        for f in files:
+            full_path = os.path.join(root, f)
+            rel = os.path.relpath(full_path, source_dir).replace(os.sep, "/")
+            if ignore_spec.match_file(rel):
+                continue
+            arcname = f"{arcname_prefix}/{rel}" if arcname_prefix else rel
+            info = tar.gettarinfo(full_path, arcname=arcname)
+            filtered = _tar_filter(info)
+            if filtered is None:
+                continue
+            with open(full_path, "rb") as fobj:
+                tar.addfile(filtered, fobj)
+
+
+@contextmanager
+def create_archive(
+    config_path: pathlib.Path,
+    config: Config,
+):
+    """Context manager that creates a .tar.gz archive of the project source.
+
+    Uses _assemble_local_deps to discover local dependencies referenced in
+    langgraph.json, including those outside config.parent (monorepo case).
+
+    The archive preserves the real filesystem layout relative to the common
+    ancestor of config.parent and all external dependency directories, so that
+    relative references (e.g. `../shared-lib`) resolve correctly after
+    extraction.
+
+    Yields (archive_path, file_size, config_relative_path).  The temporary
+    directory holding the archive is cleaned up automatically on exit.
+    """
+    config_path = config_path.resolve()
+    context_dir = config_path.parent
+
+    local_deps = _assemble_local_deps(config_path, config)
+    extra_contexts = local_deps.additional_contexts or []
+
+    dirs_to_include = [context_dir] + list(extra_contexts)
+
+    common = context_dir
+    for d in extra_contexts:
+        common = pathlib.Path(os.path.commonpath([common, d]))
+
+    tmp_dir = tempfile.mkdtemp(prefix="langgraph-deploy-")
+    try:
+        archive_path = os.path.join(tmp_dir, "source.tar.gz")
+
+        added_dirs: set[str] = set()
+        with tarfile.open(archive_path, "w:gz") as tar:
+            for dir_path in dirs_to_include:
+                rel = dir_path.relative_to(common)
+                prefix = str(rel).replace(os.sep, "/") if str(rel) != "." else None
+                key = prefix or ""
+                if key in added_dirs:
+                    continue
+                added_dirs.add(key)
+                ignore_spec = _build_ignore_spec(dir_path)
+                _add_directory(
+                    tar, dir_path, arcname_prefix=prefix, ignore_spec=ignore_spec
+                )
+
+        file_size = os.path.getsize(archive_path)
+
+        config_rel = str(config_path.relative_to(common)).replace(os.sep, "/")
+
+        with tarfile.open(archive_path, "r:gz") as tar:
+            names = tar.getnames()
+            if config_rel not in names:
+                raise click.ClickException(
+                    f"Archive validation failed: {config_rel} not found in archive"
+                )
+
+        if file_size > _MAX_SIZE:
+            raise click.ClickException(
+                f"Source archive is {file_size / 1_048_576:.1f} MB, which exceeds the 200 MB limit. "
+                "Add large files to .dockerignore or .gitignore (model weights, data sets, etc.)."
+            )
+
+        if file_size > _WARN_SIZE:
+            click.secho(
+                f"   Warning: source archive is {file_size / 1_048_576:.1f} MB. "
+                "Consider adding large files to .dockerignore or .gitignore.",
+                fg="yellow",
+            )
+
+        yield archive_path, file_size, config_rel
+    finally:
+        import shutil
+
+        shutil.rmtree(tmp_dir, ignore_errors=True)

libs/cli/langgraph_cli/config.py

@@ -3,6 +3,7 @@ import json
 import os
 import pathlib
 import re
+import shlex
 import textwrap
 from collections import Counter
 from typing import Literal, NamedTuple
@@ -10,6 +11,7 @@ from typing import Literal, NamedTuple
 import click
 
 from langgraph_cli.schemas import Config, Distros
+from langgraph_cli.uv_lock import python_config_to_docker_uv_lock
 
 MIN_NODE_VERSION = "20"
 DEFAULT_NODE_VERSION = "20"
@@ -139,6 +141,14 @@ def _is_node_graph(spec: str | dict) -> bool:
     ]
 
 
+def _get_source_kind(config: Config) -> str | None:
+    source = config.get("source")
+    if not isinstance(source, dict):
+        return None
+    kind = source.get("kind")
+    return kind if isinstance(kind, str) else None
+
+
 def validate_config(config: Config) -> Config:
     """Validate a configuration dictionary."""
 
@@ -157,6 +167,8 @@ def validate_config(config: Config) -> Config:
     image_distro = config.get("image_distro", DEFAULT_IMAGE_DISTRO)
     internal_docker_tag = config.get("_INTERNAL_docker_tag")
     api_version = config.get("api_version")
+    legacy_project_root = config.get("project_root")
+    legacy_package = config.get("package")
     if internal_docker_tag:
         if api_version:
             raise click.UsageError(
@@ -170,13 +182,18 @@ def validate_config(config: Config) -> Config:
                     "Version must be major or major.minor or major.minor.patch."
                 )
         except TypeError:
-            raise click.UsageError(f"Invalid version format: {api_version}") from None
+            raise click.UsageError(
+                f"Invalid version format: {api_version}.\n\n"
+                "Pin to a minor version, e.g.:\n"
+                '  "api_version": "0.8"'
+            ) from None
 
     config = {
         "node_version": node_version,
         "python_version": python_version,
         "pip_config_file": config.get("pip_config_file"),
         "pip_installer": config.get("pip_installer", "auto"),
+        "source": config.get("source"),
         "base_image": config.get("base_image"),
         "image_distro": image_distro,
         "dependencies": config.get("dependencies", []),
@@ -207,25 +224,51 @@ def validate_config(config: Config) -> Config:
             if major < min_major:
                 raise click.UsageError(
                     f"Node.js version {node_version} is not supported. "
-                    f"Minimum required version is {MIN_NODE_VERSION}."
+                    f"Minimum required version is {MIN_NODE_VERSION}.\n\n"
+                    f"Set node_version to {MIN_NODE_VERSION} or higher:\n"
+                    f'  "node_version": "{MIN_NODE_VERSION}"'
                 )
         except ValueError as e:
             raise click.UsageError(str(e)) from None
 
+    if pip_installer := config.get("pip_installer"):
+        if pip_installer not in ["auto", "pip", "uv"]:
+            raise click.UsageError(
+                f"Invalid pip_installer: '{pip_installer}'. "
+                "Consider using uv-based source management instead:\n\n"
+                '  "source": {"kind": "uv", "root": ".."}'
+            )
+
+    source = config.get("source")
+    source_kind = _get_source_kind(config)
+    if source is not None and not isinstance(source, dict):
+        raise click.UsageError(
+            "`source` must be an object, e.g.:\n"
+            '  "source": {"kind": "uv", "root": ".."}'
+        )
+    if source is not None and source_kind != "uv":
+        raise click.UsageError(
+            "Invalid source.kind. The only supported value is 'uv':\n"
+            '  "source": {"kind": "uv", "root": ".."}'
+        )
+
     if config.get("python_version"):
         pyversion = config["python_version"]
         if not pyversion.count(".") == 1 or not all(
             part.isdigit() for part in pyversion.split("-")[0].split(".")
         ):
+            parts = pyversion.split("-")[0].split(".")
+            fix = f"{parts[0]}.{parts[1]}" if len(parts) >= 2 else MIN_PYTHON_VERSION
             raise click.UsageError(
                 f"Invalid Python version format: {pyversion}. "
-                "Use 'major.minor' format (e.g., '3.11'). "
-                "Patch version cannot be specified."
+                "Use 'major.minor' format — patch version cannot be specified.\n\n"
+                f'  "python_version": "{fix}"'
             )
         if _parse_version(pyversion) < _parse_version(MIN_PYTHON_VERSION):
             raise click.UsageError(
                 f"Python version {pyversion} is not supported. "
-                f"Minimum required version is {MIN_PYTHON_VERSION}."
+                f"Minimum required version is {MIN_PYTHON_VERSION}.\n\n"
+                f'  "python_version": "{MIN_PYTHON_VERSION}"'
             )
         if "bullseye" in pyversion:
             raise click.UsageError(
@@ -233,15 +276,19 @@ def validate_config(config: Config) -> Config:
                 "Please use 'bookworm' or 'debian' instead."
             )
 
-        if not config["dependencies"]:
+        if source_kind != "uv" and not config["dependencies"]:
             raise click.UsageError(
                 "No dependencies found in config. "
-                "Add at least one dependency to 'dependencies' list."
+                "Consider using uv-based source management:\n\n"
+                '  "source": {"kind": "uv", "root": ".."}'
             )
 
     if not config.get("graphs"):
         raise click.UsageError(
-            "No graphs found in config. Add at least one graph to 'graphs' dictionary."
+            "No graphs found in config. Add at least one graph, e.g.:\n"
+            '  "graphs": {\n'
+            '    "agent": "./my_agent/graph.py:graph"\n'
+            "  }"
         )
 
     # Validate image_distro config
@@ -254,15 +301,46 @@ def validate_config(config: Config) -> Config:
         if image_distro not in Distros.__args__:
             raise click.UsageError(
                 f"Invalid image_distro: '{image_distro}'. "
-                "Must be one of 'debian', 'wolfi', or 'bookworm'."
+                f"Must be one of: {', '.join(repr(d) for d in Distros.__args__)}.\n\n"
+                '  "image_distro": "wolfi"  (recommended)'
             )
 
-    if pip_installer := config.get("pip_installer"):
-        if pip_installer not in ["auto", "pip", "uv"]:
-            raise click.UsageError(
-                f"Invalid pip_installer: '{pip_installer}'. "
-                "Must be 'auto', 'pip', or 'uv'."
+    if source_kind == "uv":
+        errors: list[str] = []
+        if not config.get("python_version"):
+            errors.append(
+                "source.kind 'uv' requires `python_version` — "
+                "it is a Python-only deployment mode. "
+                "Node.js-only graphs are not supported."
             )
+        if config["dependencies"]:
+            errors.append(
+                "Remove `dependencies` from your config. With "
+                '`source.kind = "uv"`, all dependencies '
+                "are read from your pyproject.toml and uv.lock instead."
+            )
+        root = source.get("root", ".") if source else "."
+        if not isinstance(root, str):
+            errors.append(f"`source.root` must be a string, got {type(root).__name__}.")
+        elif not root.strip():
+            errors.append('`source.root` must be a non-empty string. Use `"."`.')
+        package_name = source.get("package") if source else None
+        if package_name is not None and (
+            not isinstance(package_name, str) or not package_name.strip()
+        ):
+            errors.append("`source.package` must be a non-empty string.")
+        if errors:
+            detail = "\n".join(f"  - {e}" for e in errors)
+            raise click.UsageError(
+                "source.kind 'uv' requires a different "
+                f"config shape than dependency-based installs:\n{detail}"
+            )
+
+    if legacy_project_root or legacy_package:
+        raise click.UsageError(
+            "Top-level `project_root` and `package` are no longer supported. "
+            "Use `source.root` and `source.package` instead."
+        )
 
     # Validate auth config
     if auth_conf := config.get("auth"):
@@ -306,6 +384,51 @@ def validate_config(config: Config) -> Config:
     return config
 
 
+# Keys recognized by validate_config (used to detect unknown fields).
+_KNOWN_CONFIG_KEYS = {
+    "python_version",
+    "node_version",
+    "api_version",
+    "base_image",
+    "image_distro",
+    "pip_config_file",
+    "pip_installer",
+    "source",
+    "dependencies",
+    "dockerfile_lines",
+    "graphs",
+    "env",
+    "store",
+    "auth",
+    "encryption",
+    "http",
+    "webhooks",
+    "checkpointer",
+    "ui",
+    "ui_config",
+    "keep_pkg_tools",
+    # Internal / legacy (still recognized, may error separately)
+    "_INTERNAL_docker_tag",
+    "project_root",
+    "package",
+}
+
+
+def get_unknown_keys(raw_config: dict) -> list[str]:
+    """Return warnings for unrecognized top-level keys (typos, etc.)."""
+    import difflib
+
+    unknown = set(raw_config) - _KNOWN_CONFIG_KEYS
+    warnings: list[str] = []
+    for key in sorted(unknown):
+        close = difflib.get_close_matches(key, _KNOWN_CONFIG_KEYS, n=1)
+        if close:
+            warnings.append(f"Unknown key '{key}' — did you mean '{close[0]}'?")
+        else:
+            warnings.append(f"Unknown key '{key}' is not a recognized config field.")
+    return warnings
+
+
 def validate_config_file(config_path: pathlib.Path) -> Config:
     """Load and validate a configuration file."""
     with open(config_path) as f:
@@ -807,9 +930,65 @@ def _update_http_app_path(
         http_config["app"] = f"{module_str}:{attr_str}"
 
 
-def _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> str:
+def _build_python_install_commands(
+    config: Config, install_cmd: str
+) -> tuple[str, str, str]:
+    base_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
+    local_reqs_pip_install = base_install
+    global_reqs_pip_install = base_install
+
+    if config.get("pip_config_file"):
+        local_reqs_pip_install = (
+            f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
+        )
+        global_reqs_pip_install = (
+            f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
+        )
+
+    pip_config_file_str = (
+        f"ADD {config['pip_config_file']} /pipconfig.txt"
+        if config.get("pip_config_file")
+        else ""
+    )
+    return local_reqs_pip_install, global_reqs_pip_install, pip_config_file_str
+
+
+def _build_runtime_env_vars(config: Config) -> list[str]:
+    env_vars = []
+
+    if (store_config := config.get("store")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
+
+    if (auth_config := config.get("auth")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
+
+    if (encryption_config := config.get("encryption")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
+
+    if (http_config := config.get("http")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
+
+    if (webhooks_config := config.get("webhooks")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
+
+    if (checkpointer_config := config.get("checkpointer")) is not None:
+        env_vars.append(
+            f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
+        )
+
+    if (ui := config.get("ui")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
+
+    if (ui_config := config.get("ui_config")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
+
+    env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
+    return env_vars
+
+
+def _get_node_pm_install_cmd(project_dir: pathlib.Path) -> str:
     def test_file(file_name):
-        full_path = config_path.parent / file_name
+        full_path = project_dir / file_name
         try:
             return full_path.is_file()
         except OSError:
@@ -818,7 +997,7 @@ def _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> str:
     # inspired by `package-manager-detector`
     def get_pkg_manager_name():
         try:
-            with open(config_path.parent / "package.json") as f:
+            with open(project_dir / "package.json") as f:
                 pkg = json.load(f)
 
                 if (pkg_manager_name := pkg.get("packageManager")) and isinstance(
@@ -914,8 +1093,17 @@ def python_config_to_docker(
     escape_variables: bool = False,
 ) -> tuple[str, dict[str, str]]:
     """Generate a Dockerfile from the configuration."""
+    source_kind = _get_source_kind(config)
     pip_installer = config.get("pip_installer", "auto")
     build_tools_to_uninstall = get_build_tools_to_uninstall(config)
+    if source_kind == "uv":
+        return python_config_to_docker_uv_lock(
+            config_path,
+            config,
+            base_image,
+            api_version=api_version,
+            build_tools_to_uninstall=build_tools_to_uninstall,
+        )
     if pip_installer == "auto":
         if _image_supports_uv(base_image):
             pip_installer = "uv"
@@ -928,21 +1116,11 @@ def python_config_to_docker(
     else:
         raise ValueError(f"Invalid pip_installer: {pip_installer}")
 
-    # configure pip
-    local_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
-    global_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
-    if config.get("pip_config_file"):
-        local_reqs_pip_install = (
-            f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
-        )
-        global_reqs_pip_install = (
-            f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
-        )
-    pip_config_file_str = (
-        f"ADD {config['pip_config_file']} /pipconfig.txt"
-        if config.get("pip_config_file")
-        else ""
-    )
+    (
+        local_reqs_pip_install,
+        global_reqs_pip_install,
+        pip_config_file_str,
+    ) = _build_python_install_commands(config, install_cmd)
 
     # collect dependencies
     pypi_deps = [dep for dep in config["dependencies"] if not dep.startswith(".")]
@@ -998,7 +1176,7 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-{fullpath.name}/pyproject.toml; \\
+        echo "$line" >> {shlex.quote(f"/deps/outer-{fullpath.name}/pyproject.toml")}; \\
     done
 # -- End of non-package dependency {fullpath.name} --"""
         for fullpath, (relpath, destpath) in local_deps.faux_pkgs.items()
@@ -1017,56 +1195,50 @@ ADD {relpath} /deps/{name}
         for fullpath, (relpath, name) in local_deps.real_pkgs.items()
     )
 
+    additional_contexts: dict[str, str] = {}
+    additional_context_names: dict[pathlib.Path, str] = {}
+    used_context_names: set[str] = set()
+
+    def register_additional_context(path: pathlib.Path, preferred_name: str) -> str:
+        if path in additional_context_names:
+            return additional_context_names[path]
+
+        name = preferred_name
+        suffix = 1
+        while name in used_context_names:
+            name = f"{preferred_name}_{suffix}"
+            suffix += 1
+
+        used_context_names.add(name)
+        additional_context_names[path] = name
+        additional_contexts[name] = str(path)
+        return name
+
+    for p in local_deps.additional_contexts:
+        if p in local_deps.real_pkgs:
+            preferred_name = local_deps.real_pkgs[p][1]
+        elif p in local_deps.faux_pkgs:
+            preferred_name = f"outer-{p.name}"
+        else:
+            raise RuntimeError(f"Unknown additional context: {p}")
+        register_additional_context(p, preferred_name)
+
     install_node_str: str = (
         "RUN /storage/install-node.sh"
         if (config.get("ui") or config.get("node_version")) and local_deps.working_dir
         else ""
     )
 
+    install_steps = [install_node_str, pip_config_file_str, pip_pkgs_str, pip_reqs_str]
+    install_steps.extend([local_pkgs_str, faux_pkgs_str])
     installs = f"{os.linesep}{os.linesep}".join(
         filter(
             None,
-            [
-                install_node_str,
-                pip_config_file_str,
-                pip_pkgs_str,
-                pip_reqs_str,
-                local_pkgs_str,
-                faux_pkgs_str,
-            ],
+            install_steps,
         )
     )
 
-    env_vars = []
-
-    if (store_config := config.get("store")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
-
-    if (auth_config := config.get("auth")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
-
-    if (encryption_config := config.get("encryption")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
-
-    if (http_config := config.get("http")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
-
-    # Inject webhooks configuration if provided
-    if (webhooks_config := config.get("webhooks")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
-
-    if (checkpointer_config := config.get("checkpointer")) is not None:
-        env_vars.append(
-            f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
-        )
-
-    if (ui := config.get("ui")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
-
-    if (ui_config := config.get("ui_config")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
-
-    env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
+    env_vars = _build_runtime_env_vars(config)
 
     js_inst_str: str = ""
     if (config.get("ui") or config.get("node_version")) and local_deps.working_dir:
@@ -1074,7 +1246,8 @@ ADD {relpath} /deps/{name}
             [
                 "# -- Installing JS dependencies --",
                 f"ENV NODE_VERSION={config.get('node_version') or DEFAULT_NODE_VERSION}",
-                f"RUN cd {local_deps.working_dir} && {_get_node_pm_install_cmd(config_path, config)} && tsx /api/langgraph_api/js/build.mts",
+                f"WORKDIR {local_deps.working_dir}",
+                f"RUN {_get_node_pm_install_cmd(config_path.parent)} && tsx /api/langgraph_api/js/build.mts",
                 "# -- End of JS dependencies install --",
             ]
         )
@@ -1084,7 +1257,7 @@ ADD {relpath} /deps/{name}
     docker_file_contents = []
 
     # Add syntax directive if we have additional contexts (requires BuildKit frontend.contexts capability)
-    if local_deps.additional_contexts:
+    if additional_contexts:
         docker_file_contents.extend(
             [
                 "# syntax=docker/dockerfile:1.4",
@@ -1094,6 +1267,13 @@ ADD {relpath} /deps/{name}
 
     # Add main dockerfile content
     dep_vname = "$$dep" if escape_variables else "$dep"
+    local_deps_install_str = f"""RUN for dep in /deps/*; do \
+            echo "Installing {dep_vname}"; \
+            if [ -d "{dep_vname}" ]; then \
+                echo "Installing {dep_vname}"; \
+                (cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
+            fi; \
+        done"""
     docker_file_contents.extend(
         [
             f"FROM {image_str}",
@@ -1103,13 +1283,7 @@ ADD {relpath} /deps/{name}
             installs,
             "",
             "# -- Installing all local dependencies --",
-            f"""RUN for dep in /deps/*; do \
-            echo "Installing {dep_vname}"; \
-            if [ -d "{dep_vname}" ]; then \
-                echo "Installing {dep_vname}"; \
-                (cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
-            fi; \
-        done""",
+            local_deps_install_str,
             "# -- End of local dependencies install --",
             os.linesep.join(env_vars),
             "",
@@ -1126,16 +1300,6 @@ ADD {relpath} /deps/{name}
         ]
     )
 
-    additional_contexts: dict[str, str] = {}
-    for p in local_deps.additional_contexts:
-        if p in local_deps.real_pkgs:
-            name = local_deps.real_pkgs[p][1]
-        elif p in local_deps.faux_pkgs:
-            name = f"outer-{p.name}"
-        else:
-            raise RuntimeError(f"Unknown additional context: {p}")
-        additional_contexts[name] = str(p)
-
     return os.linesep.join(docker_file_contents), additional_contexts
 
 
@@ -1149,6 +1313,10 @@ def node_config_to_docker(
     build_context: str | None = None,
 ) -> tuple[str, dict[str, str]]:
     # Calculate paths for monorepo support
+    install_root = (
+        pathlib.Path(build_context).resolve() if build_context else config_path.parent
+    )
+    install_cmd = install_command or _get_node_pm_install_cmd(install_root)
     if build_context:
         relative_workdir = _calculate_relative_workdir(config_path, build_context)
         container_name = pathlib.Path(build_context).name
@@ -1160,60 +1328,32 @@ def node_config_to_docker(
         # Backward compatibility: use the original behavior
         faux_path = f"/deps/{config_path.parent.name}"
 
-    # Use custom install command or auto-detect
-    if install_command:
-        install_cmd = install_command
-    else:
-        install_cmd = _get_node_pm_install_cmd(config_path, config)
-
     image_str = docker_tag(config, base_image, api_version)
 
-    env_vars: list[str] = []
-
-    if (store_config := config.get("store")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
-
-    if (auth_config := config.get("auth")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
-
-    if (encryption_config := config.get("encryption")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
-
-    if (http_config := config.get("http")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
-
-    # Inject webhooks configuration if provided
-    if (webhooks_config := config.get("webhooks")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
-
-    if (checkpointer_config := config.get("checkpointer")) is not None:
-        env_vars.append(
-            f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
-        )
-
-    if ui := config.get("ui"):
-        env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
-
-    if ui_config := config.get("ui_config"):
-        env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
-
-    env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
+    env_vars = _build_runtime_env_vars(config)
 
     # For monorepo support, we need to handle install and build commands differently
     if build_context:
         # Monorepo case: install from root, build from config directory
         container_root = f"/deps/{pathlib.Path(build_context).name}"
-        install_step = f"RUN cd {container_root} && {install_cmd}"
+        install_workdir = container_root
+        install_step = f"RUN {install_cmd}"
 
         if build_command:
-            build_step = f"RUN cd {faux_path} && {build_command}"
+            build_step = f"RUN {build_command}"
         else:
             build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
     else:
         # Original behavior: everything happens in the same directory
-        install_step = f"RUN cd {faux_path} && {install_cmd}"
+        install_workdir = faux_path
+        install_step = f"RUN {install_cmd}"
         build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
 
+    if build_context:
+        build_workdir = faux_path
+    else:
+        build_workdir = faux_path
+
     docker_file_contents = [
         f"FROM {image_str}",
         "",
@@ -1221,11 +1361,13 @@ def node_config_to_docker(
         "",
         f"ADD . {faux_path if not build_context else container_root}",
         "",
+        f"WORKDIR {install_workdir}",
+        "",
         install_step,
         "",
         os.linesep.join(env_vars),
         "",
-        f"WORKDIR {faux_path}",
+        f"WORKDIR {build_workdir}",
         "",
         build_step,
     ]

libs/cli/langgraph_cli/docker.py

@@ -1,10 +1,14 @@
+import copy
 import json
 import pathlib
+import platform
 import shutil
+from collections.abc import Callable, Sequence
 from typing import Literal, NamedTuple
 
 import click.exceptions
 
+import langgraph_cli.config
 from langgraph_cli.exec import subp_exec
 
 ROOT = pathlib.Path(__file__).parent.resolve()
@@ -45,6 +49,54 @@ def _parse_version(version: str) -> Version:
     )
 
 
+def can_build_locally() -> tuple[bool, str | None]:
+    """Return whether local deployment builds can run on this machine.
+
+    Checks:
+    - Docker binary is installed
+    - Docker daemon is running
+    - Buildx is available when cross-compilation is required (non-x86_64)
+    """
+    if shutil.which("docker") is None:
+        return (
+            False,
+            "Docker is required but not installed.\n"
+            "Install Docker Desktop: https://docs.docker.com/get-docker/",
+        )
+    try:
+        import subprocess
+
+        docker_info = subprocess.run(
+            ["docker", "info"],
+            capture_output=True,
+            timeout=10,
+        )
+        if docker_info.returncode != 0:
+            return (
+                False,
+                "Docker is installed but not running.\nStart Docker and try again.",
+            )
+
+        if platform.machine() != "x86_64":
+            buildx = subprocess.run(
+                ["docker", "buildx", "version"],
+                capture_output=True,
+                timeout=10,
+            )
+            if buildx.returncode != 0:
+                return (
+                    False,
+                    "Docker Buildx is required but not installed.\n"
+                    "Your machine architecture ("
+                    + platform.machine()
+                    + ") requires Buildx to cross-compile images for linux/amd64.\n"
+                    "Install Buildx: https://docs.docker.com/build/install-buildx/",
+                )
+        return True, None
+    except Exception:
+        return False, "Unable to verify local Docker build support."
+
+
 def check_capabilities(runner) -> DockerCapabilities:
     # check docker available
     if shutil.which("docker") is None:
@@ -276,3 +328,79 @@ def compose(
     )
     compose_str = dict_to_yaml(compose_content)
     return compose_str
+
+
+def build_docker_image(
+    runner,
+    set: Callable[[str], None],
+    config: pathlib.Path,
+    config_json: dict,
+    base_image: str | None,
+    api_version: str | None,
+    pull: bool,
+    tag: str,
+    passthrough: Sequence[str] = (),
+    install_command: str | None = None,
+    build_command: str | None = None,
+    docker_command: Sequence[str] | None = None,
+    extra_flags: Sequence[str] = (),
+    verbose: bool = True,
+):
+    """Build a Docker image from a LangGraph config."""
+    # pull latest images
+    if pull:
+        runner.run(
+            subp_exec(
+                "docker",
+                "pull",
+                langgraph_cli.config.docker_tag(config_json, base_image, api_version),
+                verbose=verbose,
+            )
+        )
+    set("Building...")
+    # apply options
+    args = [
+        "-f",
+        "-",  # stdin
+        "-t",
+        tag,
+    ]
+    # determine build context: use current directory for JS projects, config parent for Python
+    is_js_project = config_json.get("node_version") and not config_json.get(
+        "python_version"
+    )
+    # build/install commands only apply to JS projects for now
+    # without install/build command, JS projects will follow the old behavior
+    if is_js_project and (build_command or install_command):
+        build_context = str(pathlib.Path.cwd())
+    else:
+        build_context = str(config.parent)
+
+    # Deep copy to avoid mutating the caller's config (config_to_docker
+    # rewrites graph paths to container-internal paths in place).
+    config_json = copy.deepcopy(config_json)
+    stdin, additional_contexts = langgraph_cli.config.config_to_docker(
+        config_path=config,
+        config=config_json,
+        base_image=base_image,
+        api_version=api_version,
+        install_command=install_command,
+        build_command=build_command,
+        build_context=build_context,
+    )
+    # add additional_contexts
+    if additional_contexts:
+        for k, v in additional_contexts.items():
+            args.extend(["--build-context", f"{k}={v}"])
+    cmd = tuple(docker_command) if docker_command else ("docker", "build")
+    runner.run(
+        subp_exec(
+            *cmd,
+            *args,
+            *extra_flags,
+            *passthrough,
+            build_context,
+            input=stdin,
+            verbose=verbose,
+        )
+    )

libs/cli/langgraph_cli/helpers.py

@@ -1,59 +0,0 @@
-"""Helpers for the ``langgraph logs`` CLI command."""
-
-from __future__ import annotations
-
-from datetime import datetime, timezone
-
-import click
-
-from langgraph_cli.host_backend import HostBackendClient
-
-
-def resolve_deployment_id(
-    client: HostBackendClient,
-    deployment_id: str | None,
-    name: str | None,
-) -> str:
-    """Resolve a deployment ID from --deployment-id or --name."""
-    if deployment_id:
-        return deployment_id
-    if not name:
-        raise click.UsageError("Either --deployment-id or --name is required.")
-    existing = client.list_deployments(name_contains=name)
-    if isinstance(existing, dict):
-        for dep in existing.get("resources", []):
-            if isinstance(dep, dict) and dep.get("name") == name:
-                found_id = dep.get("id")
-                if found_id:
-                    return str(found_id)
-    raise click.ClickException(f"Deployment '{name}' not found.")
-
-
-def format_timestamp(ts) -> str:
-    """Convert a timestamp (epoch ms or string) to a readable string."""
-    if isinstance(ts, (int, float)):
-        dt = datetime.fromtimestamp(ts / 1000, tz=timezone.utc)
-        return dt.strftime("%Y-%m-%d %H:%M:%S")
-    return str(ts) if ts else ""
-
-
-def format_log_entry(entry: dict) -> str:
-    """Format a single log entry for display."""
-    ts = format_timestamp(entry.get("timestamp", ""))
-    level = entry.get("level", "")
-    message = entry.get("message", "")
-    if ts and level:
-        return f"[{ts}] [{level}] {message}"
-    elif ts:
-        return f"[{ts}] {message}"
-    return message
-
-
-def level_fg(level: str) -> str | None:
-    """Return click color for a log level."""
-    level_upper = level.upper() if level else ""
-    if level_upper in {"ERROR", "CRITICAL"}:
-        return "red"
-    if level_upper == "WARNING":
-        return "yellow"
-    return None

libs/cli/langgraph_cli/host_backend.py

@@ -70,7 +70,25 @@ class HostBackendClient:
                 f"Failed to decode response from {path}: {err}"
             ) from None
 
-    def create_deployment(self, payload: dict[str, Any]) -> dict[str, Any]:
+    def create_deployment(
+        self,
+        name: str,
+        deployment_type: str,
+        source: str,
+        config_path: str | None = None,
+        secrets: list[dict[str, str]] | None = None,
+    ) -> dict[str, Any]:
+        """Create a deployment."""
+        payload: dict[str, Any] = {
+            "name": name,
+            "source": source,
+            "source_config": {"deployment_type": deployment_type},
+            "source_revision_config": {},
+        }
+        if source == "internal_source" and config_path:
+            payload["source_revision_config"]["langgraph_config_path"] = config_path
+        if secrets is not None:
+            payload["secrets"] = secrets
         return self._request("POST", "/v2/deployments", payload)
 
     def list_deployments(self, name_contains: str = "") -> dict[str, Any]:
@@ -92,6 +110,13 @@ class HostBackendClient:
             f"/v2/deployments/{deployment_id}/push-token",
         )
 
+    def request_upload_url(self, deployment_id: str) -> dict[str, Any]:
+        """Get a signed GCS URL for uploading the source tarball."""
+        return self._request(
+            "POST",
+            f"/v2/deployments/{deployment_id}/upload-url",
+        )
+
     def update_deployment(
         self,
         deployment_id: str,
@@ -99,6 +124,7 @@ class HostBackendClient:
         secrets: list[dict[str, str]] | None = None,
     ) -> dict[str, Any]:
         payload: dict[str, Any] = {
+            "revision_source": "internal_docker",
             "source_revision_config": {"image_uri": image_uri},
         }
         if secrets is not None:
@@ -109,6 +135,36 @@ class HostBackendClient:
             payload,
         )
 
+    def update_deployment_internal_source(
+        self,
+        deployment_id: str,
+        source_tarball_path: str,
+        config_path: str,
+        secrets: list[dict[str, str]] | None = None,
+        install_command: str | None = None,
+        build_command: str | None = None,
+    ) -> dict[str, Any]:
+        """Trigger a remote build revision with the uploaded tarball."""
+        payload: dict[str, Any] = {
+            "revision_source": "internal_source",
+            "source_revision_config": {
+                "source_tarball_path": source_tarball_path,
+                "langgraph_config_path": config_path,
+            },
+        }
+
+        source_config: dict[str, Any] = {}
+        if install_command is not None:
+            source_config["install_command"] = install_command
+        if build_command is not None:
+            source_config["build_command"] = build_command
+        if source_config:
+            payload["source_config"] = source_config
+
+        if secrets is not None:
+            payload["secrets"] = secrets
+        return self._request("PATCH", f"/v2/deployments/{deployment_id}", payload)
+
     def list_revisions(self, deployment_id: str, limit: int = 1) -> dict[str, Any]:
         return self._request(
             "GET",

libs/cli/langgraph_cli/progress.py

@@ -18,6 +18,9 @@ class Progress:
         self._show_elapsed = elapsed
         # use this to make sure we don't kill thread when we set msg to ""
         self._stop = threading.Event()
+        # signalled when the spinner has no text on screen
+        self._line_clear = threading.Event()
+        self._line_clear.set()
         self.spinner_generator = self.spinning_cursor()
 
     def spinner_iteration(self):
@@ -43,13 +46,16 @@ class Progress:
         start = time.monotonic()
         while not self._stop.is_set():
             if not self.message:
+                self._line_clear.set()
                 time.sleep(self.delay)
                 continue
             if self._show_elapsed:
                 self.message = self._format_elapsed(time.monotonic() - start)
             message = self.message
             if not message:
+                self._line_clear.set()
                 continue
+            self._line_clear.clear()
             sys.stdout.write(next(self.spinner_generator) + " " + message)
             sys.stdout.flush()
             time.sleep(self.delay)
@@ -60,6 +66,7 @@ class Progress:
                 + "\b" * (len(message) + 2)
             )
             sys.stdout.flush()
+            self._line_clear.set()
 
     def __enter__(self) -> Callable[[str], None]:
         if sys.stdout.isatty():
@@ -69,6 +76,8 @@ class Progress:
             def set_message(message):
                 self.message = message
                 self._base_message = message or self._base_message
+                if not message:
+                    self._line_clear.wait(timeout=0.5)
 
             return set_message
         else:

libs/cli/langgraph_cli/schemas.py

@@ -1,5 +1,7 @@
 from typing import Any, Literal, TypedDict
 
+from typing_extensions import Required
+
 Distros = Literal["debian", "wolfi", "bookworm"]
 MiddlewareOrders = Literal["auth_first", "middleware_first"]
 
@@ -9,20 +11,20 @@ class TTLConfig(TypedDict, total=False):
 
     refresh_on_read: bool
     """Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).
-    
+
     If `True`, TTLs will be refreshed on read operations (get/search) by default.
     This can be overridden per-operation by explicitly setting `refresh_ttl`.
     Defaults to `True` if not configured.
     """
     default_ttl: float | None
     """Optional. Default TTL (time-to-live) in minutes for new items.
-    
+
     If provided, all new items will have this TTL unless explicitly overridden.
     If omitted, items will have no TTL by default.
     """
     sweep_interval_minutes: int | None
     """Optional. Interval in minutes between TTL sweep iterations.
-    
+
     If provided, the store will periodically delete expired items based on the TTL.
     If omitted, no automatic sweeping will occur.
     """
@@ -36,10 +38,10 @@ class IndexConfig(TypedDict, total=False):
 
     dims: int
     """Required. Dimensionality of the embedding vectors you will store.
-    
+
     Must match the output dimension of your selected embedding model or custom embed function.
     If mismatched, you will likely encounter shape/size errors when inserting or querying vectors.
-    
+
     Common embedding model output dimensions:
         - openai:text-embedding-3-large: 3072
         - openai:text-embedding-3-small: 1536
@@ -52,7 +54,7 @@ class IndexConfig(TypedDict, total=False):
 
     embed: str
     """Required. Identifier or reference to the embedding model or a custom embedding function.
-    
+
     The format can vary:
       - "<provider>:<model_name>" for recognized providers (e.g., "openai:text-embedding-3-large")
       - "path/to/module.py:function_name" for your own local embedding function
@@ -62,17 +64,17 @@ class IndexConfig(TypedDict, total=False):
         - "openai:text-embedding-3-large"
         - "cohere:embed-multilingual-v3.0"
         - "src/app.py:embeddings"
-    
+
     Note: Must return embeddings of dimension `dims`.
     """
 
     fields: list[str] | None
     """Optional. List of JSON fields to extract before generating embeddings.
-    
+
     Defaults to ["$"], which means the entire JSON object is embedded as one piece of text.
     If you provide multiple fields (e.g. ["title", "content"]), each is extracted and embedded separately,
     often saving token usage if you only care about certain parts of the data.
-    
+
     Example:
         fields=["title", "abstract", "author.biography"]
     """
@@ -87,18 +89,18 @@ class StoreConfig(TypedDict, total=False):
 
     index: IndexConfig | None
     """Optional. Defines the vector-based semantic search configuration.
-    
+
     If provided, the store will:
       - Generate embeddings according to `index.embed`
       - Enforce the embedding dimension given by `index.dims`
       - Embed only specified JSON fields (if any) from `index.fields`
-    
+
     If omitted, no vector index is initialized.
     """
 
     ttl: TTLConfig | None
     """Optional. Defines the TTL (time-to-live) behavior configuration.
-    
+
     If provided, the store will apply TTL settings according to the configuration.
     If omitted, no TTL behavior is configured.
     """
@@ -129,11 +131,11 @@ class SerdeConfig(TypedDict, total=False):
 
     allowed_json_modules: list[list[str]] | bool | None
     """Optional. List of allowed python modules to de-serialize custom objects from JSON.
-    
+
     If provided, only the specified modules will be allowed to be deserialized.
     If omitted, no modules are allowed, and the object returned will simply be a json object OR
     a deserialized langchain object.
-    
+
     Example:
     {...
         "serde": {
@@ -178,11 +180,11 @@ class SerdeConfig(TypedDict, total=False):
             "allowed_msgpack_modules": null
         }
     }
-    
+
     """
     pickle_fallback: bool
     """Optional. Whether to allow pickling as a fallback for deserialization.
-    
+
     If True, pickling will be allowed as a fallback for deserialization.
     If False, pickling will not be allowed as a fallback for deserialization.
     Defaults to True if not configured."""
@@ -216,7 +218,7 @@ class CheckpointerConfig(TypedDict, total=False):
 
     ttl: ThreadTTLConfig | None
     """Optional. Defines the TTL (time-to-live) behavior configuration.
-    
+
     If provided, the checkpointer will apply TTL settings according to the configuration.
     If omitted, no TTL behavior is configured.
     """
@@ -239,7 +241,7 @@ class SecurityConfig(TypedDict, total=False):
 
     securitySchemes: dict[str, dict[str, Any]]
     """Describe each security scheme recognized by your OpenAPI spec.
-    
+
     Keys are scheme names (e.g. "OAuth2", "ApiKeyAuth") and values are their definitions.
     Example:
         {
@@ -256,7 +258,7 @@ class SecurityConfig(TypedDict, total=False):
     """
     security: list[dict[str, list[str]]]
     """Global security requirements across all endpoints.
-    
+
     Each element in the list maps a security scheme (e.g. "OAuth2") to a list of scopes (e.g. ["read", "write"]).
     Example:
         [
@@ -267,11 +269,11 @@ class SecurityConfig(TypedDict, total=False):
     # path => {method => security}
     paths: dict[str, dict[str, list[dict[str, list[str]]]]]
     """Path-specific security overrides.
-    
+
     Keys are path templates (e.g., "/items/{item_id}"), mapping to:
       - Keys that are HTTP methods (e.g., "GET", "POST"),
       - Values are lists of security definitions (just like `security`) for that method.
-    
+
     Example:
         {
             "/private_data": {
@@ -285,19 +287,19 @@ class SecurityConfig(TypedDict, total=False):
 class CacheConfig(TypedDict, total=False):
     cache_keys: list[str]
     """Optional. List of header keys to use for caching.
-    
+
     Example:
         ["user_id", "workspace_id"]
     """
     ttl_seconds: int
     """Optional. Time-to-live in seconds for cached items.
-    
+
     Example:
         3600
     """
     max_size: int
     """Optional. Maximum size of the cache.
-    
+
     Example:
         100
     """
@@ -308,19 +310,19 @@ class AuthConfig(TypedDict, total=False):
 
     path: str
     """Required. Path to an instance of the Auth() class that implements custom authentication.
-    
+
     Format: "path/to/file.py:my_auth"
     """
     disable_studio_auth: bool
-    """Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio. 
-    
+    """Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.
+
     Defaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header
     value is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom
     authentication logic, regardless of origin of the request.
     """
     openapi: SecurityConfig
     """The security configuration to include in your server's OpenAPI spec.
-    
+
     Example (OAuth2):
         {
             "securitySchemes": {
@@ -341,7 +343,7 @@ class AuthConfig(TypedDict, total=False):
     """
     cache: CacheConfig
     """Optional. Cache configuration for the server.
-    
+
     Example:
         {
             "cache_keys": ["user_id", "workspace_id"],
@@ -380,32 +382,32 @@ class CorsConfig(TypedDict, total=False):
 
     allow_origins: list[str]
     """Optional. List of allowed origins (e.g., "https://example.com").
-    
-    Default is often an empty list (no external origins). 
+
+    Default is often an empty list (no external origins).
     Use "*" only if you trust all origins, as that bypasses most restrictions.
     """
     allow_methods: list[str]
     """Optional. HTTP methods permitted for cross-origin requests (e.g. ["GET", "POST"]).
-    
+
     Default might be ["GET", "POST", "OPTIONS"] depending on your server framework.
     """
     allow_headers: list[str]
     """Optional. HTTP headers that can be used in cross-origin requests (e.g. ["Content-Type", "Authorization"])."""
     allow_credentials: bool
     """Optional. If `True`, cross-origin requests can include credentials (cookies, auth headers).
-    
+
     Default False to avoid accidentally exposing secured endpoints to untrusted sites.
     """
     allow_origin_regex: str
     """Optional. A regex pattern for matching allowed origins, used if you have dynamic subdomains.
-    
+
     Example: "^https://.*\\.mycompany\\.com$"
     """
     expose_headers: list[str]
     """Optional. List of headers that browsers are allowed to read from the response in cross-origin contexts."""
     max_age: int
     """Optional. How many seconds the browser may cache preflight responses.
-    
+
     Default might be 600 (10 minutes). Larger values reduce preflight requests but can cause stale configurations.
     """
 
@@ -442,61 +444,61 @@ class HttpConfig(TypedDict, total=False):
 
     app: str
     """Optional. Import path to a custom Starlette/FastAPI application to mount.
-    
+
     Format: "path/to/module.py:app_var"
     If provided, it can override or extend the default routes.
     """
     disable_assistants: bool
     """Optional. If `True`, /assistants routes are removed from the server.
-    
+
     Default is False (meaning /assistants is enabled).
     """
     disable_threads: bool
     """Optional. If `True`, /threads routes are removed.
-    
+
     Default is False.
     """
     disable_runs: bool
     """Optional. If `True`, /runs routes are removed.
-    
+
     Default is False.
     """
     disable_store: bool
     """Optional. If `True`, /store routes are removed, disabling direct store interactions via HTTP.
-    
+
     Default is False.
     """
     disable_mcp: bool
     """Optional. If `True`, /mcp routes are removed, disabling default support to expose the deployment as an MCP server.
-    
+
     Default is False.
     """
     disable_a2a: bool
     """Optional. If `True`, /a2a routes are removed, disabling default support to expose the deployment as an agent-to-agent (A2A) server.
-    
+
     Default is False.
     """
     disable_meta: bool
     """Optional. Remove meta endpoints.
-    
+
     Set to True to disable the following endpoints: /openapi.json, /info, /metrics, /docs.
     This will also make the /ok endpoint skip any DB or other checks, always returning {"ok": True}.
-    
+
     Default is False.
     """
     disable_ui: bool
     """Optional. If `True`, /ui routes are removed, disabling the UI server.
-    
+
     Default is False.
     """
     disable_webhooks: bool
     """Optional. If `True`, webhooks are disabled. Runs created with an associated webhook will
     still be executed, but the webhook event will not be sent.
-    
+
     Default is False.
     """
     cors: CorsConfig | None
-    """Optional. Defines CORS restrictions. If omitted, no special rules are set and 
+    """Optional. Defines CORS restrictions. If omitted, no special rules are set and
     cross-origin behavior depends on default server settings.
     """
     configurable_headers: ConfigurableHeaderConfig | None
@@ -527,7 +529,7 @@ class HttpConfig(TypedDict, total=False):
     """
     mount_prefix: str
     """Optional. URL prefix to prepend to all the routes.
-    
+
     Example:
         "/api"
     """
@@ -588,11 +590,33 @@ class WebhooksConfig(TypedDict, total=False):
     """
 
 
+class UvSource(TypedDict, total=False):
+    """Deployment source rooted at a uv project or workspace."""
+
+    kind: Required[Literal["uv"]]
+    """Discriminator for uv-backed deployment mode."""
+
+    root: str
+    """Relative path from langgraph.json to the authoritative uv project root.
+
+    The resolved directory must contain `pyproject.toml` and `uv.lock`. If the
+    root is a workspace, package discovery happens within this root.
+    """
+
+    package: str
+    """Optional. Workspace package name to deploy when the target is ambiguous.
+
+    If omitted, the CLI tries to infer the target package from the location of
+    `langgraph.json`, or falls back to the only package if the root contains
+    exactly one candidate.
+    """
+
+
 class Config(TypedDict, total=False):
     """Top-level config for langgraph-cli or similar deployment tooling."""
 
     python_version: str
-    """Optional. Python version in 'major.minor' format (e.g. '3.11'). 
+    """Optional. Python version in 'major.minor' format (e.g. '3.11').
     Must be at least 3.11 or greater for this deployment to function properly.
     """
 
@@ -603,7 +627,7 @@ class Config(TypedDict, total=False):
 
     api_version: str | None
     """Optional. Which semantic version of the LangGraph API server to use.
-    
+
     Defaults to latest. Check the
     [changelog](https://docs.langchain.com/langgraph-platform/langgraph-server-changelog)
     for more information."""
@@ -614,12 +638,12 @@ class Config(TypedDict, total=False):
 
     base_image: str | None
     """Optional. Base image to use for the LangGraph API server.
-    
+
     Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
 
     image_distro: Distros | None
     """Optional. Linux distribution for the base image.
-    
+
     Must be one of 'wolfi', 'debian', or 'bookworm'.
     If omitted, defaults to 'debian' ('latest').
     """
@@ -627,22 +651,30 @@ class Config(TypedDict, total=False):
     pip_config_file: str | None
     """Optional. Path to a pip config file (e.g., "/etc/pip.conf" or "pip.ini") for controlling
     package installation (custom indices, credentials, etc.).
-    
+
     Only relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.
     """
 
     pip_installer: str | None
-    """Optional. Python package installer to use ('auto', 'pip', 'uv').
-    
+    """Optional. Python package installer to use ('auto', 'pip', or 'uv').
+
     - 'auto' (default): Use uv for supported base images, otherwise pip
     - 'pip': Force use of pip regardless of base image support
     - 'uv': Force use of uv (will fail if base image doesn't support it)
     """
 
+    source: UvSource | None
+    """Optional. Explicit deployment source configuration.
+
+    Use `{ "kind": "uv", "root": "." }` to deploy from a uv project rooted at
+    `root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the
+    target is ambiguous, set `package` to the desired workspace member.
+    """
+
     dockerfile_lines: list[str]
     """Optional. Additional Docker instructions that will be appended to your base Dockerfile.
-    
-    Useful for installing OS packages, setting environment variables, etc. 
+
+    Useful for installing OS packages, setting environment variables, etc.
     Example:
         dockerfile_lines=[
             "RUN apt-get update && apt-get install -y libmagic-dev",
@@ -652,12 +684,14 @@ class Config(TypedDict, total=False):
 
     dependencies: list[str]
     """List of Python dependencies to install, either from PyPI or local paths.
-    
+
     Examples:
       - "." or "./src" if you have a local Python package
       - str (aka "anthropic") for a PyPI package
       - "git+https://github.com/org/repo.git@main" for a Git-based package
     Defaults to an empty list, meaning no additional packages installed beyond your base environment.
+
+    This field is not supported when `source.kind` is `uv`.
     """
 
     graphs: dict[str, str | GraphDef]
@@ -682,10 +716,10 @@ class Config(TypedDict, total=False):
 
     env: dict[str, str] | str
     """Optional. Environment variables to set for your deployment.
-    
+
     - If given as a dict, keys are variable names and values are their values.
     - If given as a string, it must be a path to a file containing lines in KEY=VALUE format.
-    
+
     Example as a dict:
         env={"API_TOKEN": "abc123", "DEBUG": "true"}
     Example as a file path:
@@ -694,13 +728,13 @@ class Config(TypedDict, total=False):
 
     store: StoreConfig | None
     """Optional. Configuration for the built-in long-term memory store, including semantic search indexing.
-    
+
     If omitted, no vector index is set up (the object store will still be present, however).
     """
 
     checkpointer: CheckpointerConfig | None
     """Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.
-    
+
     If omitted, no checkpointer is set up (the object store will still be present, however).
     """
 
@@ -733,7 +767,7 @@ class Config(TypedDict, total=False):
 
     keep_pkg_tools: bool | list[str] | None
     """Optional. Control whether to retain Python packaging tools in the final image.
-    
+
     Allowed tools are: "pip", "setuptools", "wheel".
     You can also set to true to include all packaging tools.
     """

libs/cli/langgraph_cli/util.py

@@ -1,4 +1,4 @@
-from collections.abc import Sequence
+"""General-purpose utilities shared across the LangGraph CLI."""
 
 import click
 
@@ -25,67 +25,3 @@ def warn_non_wolfi_distro(config_json: dict) -> None:
             fg="yellow",
         )
         click.secho("")  # Empty line for better readability
-
-
-def _extract_deployment_url(deployment: dict[str, object]) -> str:
-    source_config = deployment.get("source_config")
-    if isinstance(source_config, dict):
-        custom_url = source_config.get("custom_url")
-        if isinstance(custom_url, str) and custom_url:
-            return custom_url
-    return "-"
-
-
-def format_deployments_table(deployments: Sequence[dict[str, object]]) -> str:
-    headers = ("Deployment ID", "Deployment Name", "Deployment URL")
-    rows = [
-        (
-            str(deployment.get("id", "-") or "-"),
-            str(deployment.get("name", "-") or "-"),
-            _extract_deployment_url(deployment),
-        )
-        for deployment in deployments
-    ]
-    widths = [
-        max(len(headers[index]), *(len(row[index]) for row in rows))
-        for index in range(len(headers))
-    ]
-
-    def format_row(row: Sequence[str]) -> str:
-        return "  ".join(value.ljust(widths[index]) for index, value in enumerate(row))
-
-    lines = [format_row(headers), format_row(tuple("-" * width for width in widths))]
-    lines.extend(format_row(row) for row in rows)
-    return "\n".join(lines)
-
-
-def format_revisions_table(revisions: Sequence[dict[str, object]]) -> str:
-    headers = ("Revision ID", "Status", "Created At")
-    latest_deployed_seen = False
-    rows = []
-    for revision in revisions:
-        status = str(revision.get("status", "-") or "-")
-        if status == "DEPLOYED":
-            if latest_deployed_seen:
-                status = "REPLACED"
-            else:
-                latest_deployed_seen = True
-        rows.append(
-            (
-                str(revision.get("id", "-") or "-"),
-                status,
-                str(revision.get("created_at", "-") or "-"),
-            )
-        )
-
-    widths = [
-        max(len(headers[index]), *(len(row[index]) for row in rows))
-        for index in range(len(headers))
-    ]
-
-    def format_row(row: Sequence[str]) -> str:
-        return "  ".join(value.ljust(widths[index]) for index, value in enumerate(row))
-
-    lines = [format_row(headers), format_row(tuple("-" * width for width in widths))]
-    lines.extend(format_row(row) for row in rows)
-    return "\n".join(lines)

libs/cli/pyproject.toml

@@ -15,7 +15,9 @@ dependencies = [
     "click>=8.1.7",
     "httpx>=0.24.0",
     "langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
+    "pathspec>=0.11.0",
     "python-dotenv>=0.8.0",
+    "tomli>=2.0.1 ; python_version < '3.11'",
 ]
 [tool.hatch.version]
 path = "langgraph_cli/__init__.py"

libs/cli/schemas/schema.json

@@ -184,13 +184,28 @@
             "pip_installer": {
               "anyOf": [
                 {
-                  "type": "string"
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/UvSource"
                 },
                 {
                   "type": "null"
                 }
               ],
-              "description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
+              "description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
             },
             "store": {
               "anyOf": [
@@ -234,6 +249,240 @@
             "graphs"
           ]
         },
+        {
+          "type": "object",
+          "properties": {
+            "python_version": {
+              "type": "string",
+              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
+              "enum": [
+                "3.11",
+                "3.12",
+                "3.13"
+              ]
+            },
+            "pip_config_file": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
+            },
+            "_INTERNAL_docker_tag": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Internal use only.\n"
+            },
+            "api_version": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+            },
+            "auth": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/AuthConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Custom authentication config, including the path to your Python auth logic and\nthe OpenAPI security definitions it uses.\n"
+            },
+            "base_image": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
+            },
+            "checkpointer": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/CheckpointerConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).\n"
+            },
+            "dependencies": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "description": "List of Python dependencies to install, either from PyPI or local paths.\n"
+            },
+            "dockerfile_lines": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "description": "Optional. Additional Docker instructions that will be appended to your base Dockerfile.\n\nUseful for installing OS packages, setting environment variables, etc."
+            },
+            "encryption": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/EncryptionConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Custom at-rest encryption config, including the path to your Python encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database.\n"
+            },
+            "env": {
+              "anyOf": [
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
+            },
+            "graphs": {
+              "type": "object",
+              "additionalProperties": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "$ref": "#/$defs/GraphDef"
+                  }
+                ]
+              },
+              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
+            },
+            "http": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/HttpConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed\nand how cross-origin requests are handled.\n"
+            },
+            "image_distro": {
+              "anyOf": [
+                {
+                  "enum": [
+                    "bookworm",
+                    "debian",
+                    "wolfi"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+            },
+            "keep_pkg_tools": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Control whether to retain Python packaging tools in the final image.\n\nYou can also set to true to include all packaging tools.\n"
+            },
+            "pip_installer": {
+              "anyOf": [
+                {
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "$ref": "#/$defs/UvSource"
+            },
+            "store": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/StoreConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in long-term memory store, including semantic search indexing.\n\nIf omitted, no vector index is set up (the object store will still be present, however).\n"
+            },
+            "ui": {
+              "anyOf": [
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.\n"
+            },
+            "webhooks": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/WebhooksConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
+            }
+          },
+          "required": [
+            "graphs",
+            "source"
+          ]
+        },
         {
           "type": "object",
           "properties": {
@@ -405,13 +654,28 @@
             "pip_installer": {
               "anyOf": [
                 {
-                  "type": "string"
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/UvSource"
                 },
                 {
                   "type": "null"
                 }
               ],
-              "description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
+              "description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
             },
             "store": {
               "anyOf": [
@@ -906,6 +1170,27 @@
       },
       "required": []
     },
+    "UvSource": {
+      "title": "UvSource",
+      "description": "Deployment source rooted at a uv project or workspace.",
+      "type": "object",
+      "properties": {
+        "kind": {
+          "enum": [
+            "uv"
+          ]
+        },
+        "package": {
+          "type": "string"
+        },
+        "root": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "kind"
+      ]
+    },
     "StoreConfig": {
       "title": "StoreConfig",
       "description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",

libs/cli/schemas/schema.v0.json

@@ -184,13 +184,28 @@
             "pip_installer": {
               "anyOf": [
                 {
-                  "type": "string"
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/UvSource"
                 },
                 {
                   "type": "null"
                 }
               ],
-              "description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
+              "description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
             },
             "store": {
               "anyOf": [
@@ -234,6 +249,240 @@
             "graphs"
           ]
         },
+        {
+          "type": "object",
+          "properties": {
+            "python_version": {
+              "type": "string",
+              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
+              "enum": [
+                "3.11",
+                "3.12",
+                "3.13"
+              ]
+            },
+            "pip_config_file": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
+            },
+            "_INTERNAL_docker_tag": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Internal use only.\n"
+            },
+            "api_version": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+            },
+            "auth": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/AuthConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Custom authentication config, including the path to your Python auth logic and\nthe OpenAPI security definitions it uses.\n"
+            },
+            "base_image": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
+            },
+            "checkpointer": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/CheckpointerConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).\n"
+            },
+            "dependencies": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "description": "List of Python dependencies to install, either from PyPI or local paths.\n"
+            },
+            "dockerfile_lines": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "description": "Optional. Additional Docker instructions that will be appended to your base Dockerfile.\n\nUseful for installing OS packages, setting environment variables, etc."
+            },
+            "encryption": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/EncryptionConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Custom at-rest encryption config, including the path to your Python encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database.\n"
+            },
+            "env": {
+              "anyOf": [
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
+            },
+            "graphs": {
+              "type": "object",
+              "additionalProperties": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "$ref": "#/$defs/GraphDef"
+                  }
+                ]
+              },
+              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
+            },
+            "http": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/HttpConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed\nand how cross-origin requests are handled.\n"
+            },
+            "image_distro": {
+              "anyOf": [
+                {
+                  "enum": [
+                    "bookworm",
+                    "debian",
+                    "wolfi"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+            },
+            "keep_pkg_tools": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Control whether to retain Python packaging tools in the final image.\n\nYou can also set to true to include all packaging tools.\n"
+            },
+            "pip_installer": {
+              "anyOf": [
+                {
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "$ref": "#/$defs/UvSource"
+            },
+            "store": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/StoreConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in long-term memory store, including semantic search indexing.\n\nIf omitted, no vector index is set up (the object store will still be present, however).\n"
+            },
+            "ui": {
+              "anyOf": [
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.\n"
+            },
+            "webhooks": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/WebhooksConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
+            }
+          },
+          "required": [
+            "graphs",
+            "source"
+          ]
+        },
         {
           "type": "object",
           "properties": {
@@ -405,13 +654,28 @@
             "pip_installer": {
               "anyOf": [
                 {
-                  "type": "string"
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/UvSource"
                 },
                 {
                   "type": "null"
                 }
               ],
-              "description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
+              "description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
             },
             "store": {
               "anyOf": [
@@ -906,6 +1170,27 @@
       },
       "required": []
     },
+    "UvSource": {
+      "title": "UvSource",
+      "description": "Deployment source rooted at a uv project or workspace.",
+      "type": "object",
+      "properties": {
+        "kind": {
+          "enum": [
+            "uv"
+          ]
+        },
+        "package": {
+          "type": "string"
+        },
+        "root": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "kind"
+      ]
+    },
     "StoreConfig": {
       "title": "StoreConfig",
       "description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",

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

@@ -9,7 +9,7 @@ from pathlib import Path
 
 from click.testing import CliRunner
 
-import langgraph_cli.cli as cli_module
+import langgraph_cli.deploy as deploy_module
 from langgraph_cli.cli import cli, prepare_args_and_stdin
 from langgraph_cli.config import Config, _get_pip_cleanup_lines, validate_config
 from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Version
@@ -346,7 +346,7 @@ def test_deploy_list_command(monkeypatch) -> None:
                 ]
             }
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,
@@ -386,7 +386,7 @@ def test_deploy_list_command_no_results(monkeypatch) -> None:
         def list_deployments(self, name_contains: str = ""):
             return {"resources": []}
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,
@@ -432,7 +432,7 @@ def test_deploy_revisions_list_command(monkeypatch) -> None:
                 ]
             }
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,
@@ -473,7 +473,7 @@ def test_deploy_revisions_list_command_no_results(monkeypatch) -> None:
         def list_revisions(self, deployment_id: str, limit: int = 1):
             return {"resources": []}
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,
@@ -506,7 +506,7 @@ def test_deploy_revisions_list_command_with_explicit_limit(monkeypatch) -> None:
             captured["limit"] = str(limit)
             return {"resources": []}
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,
@@ -552,7 +552,7 @@ def test_deploy_delete_command(monkeypatch) -> None:
             captured["deployment_id"] = deployment_id
             return None
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,
@@ -594,7 +594,7 @@ def test_deploy_delete_command_cancelled(monkeypatch) -> None:
             deleted = True
             return None
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,
@@ -629,7 +629,7 @@ def test_deploy_delete_command_force(monkeypatch) -> None:
             captured["deployment_id"] = deployment_id
             return None
 
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+    monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
 
     result = runner.invoke(
         cli,

libs/cli/tests/unit_tests/test_archive.py

@@ -0,0 +1,299 @@
+import os
+import tarfile
+from unittest.mock import patch
+
+import click
+import pytest
+
+from langgraph_cli.archive import (
+    _add_directory,
+    _build_ignore_spec,
+    _tar_filter,
+    create_archive,
+)
+
+# ---------------------------------------------------------------------------
+# _tar_filter
+# ---------------------------------------------------------------------------
+
+
+class TestTarFilter:
+    def _make_info(self, name: str, *, type_: int = tarfile.REGTYPE) -> tarfile.TarInfo:
+        info = tarfile.TarInfo(name=name)
+        info.type = type_
+        return info
+
+    def test_regular_file_passes(self):
+        info = self._make_info("src/main.py")
+        assert _tar_filter(info) is info
+
+    def test_symlink_rejected(self):
+        info = self._make_info("link", type_=tarfile.SYMTYPE)
+        assert _tar_filter(info) is None
+
+    def test_hardlink_rejected(self):
+        info = self._make_info("link", type_=tarfile.LNKTYPE)
+        assert _tar_filter(info) is None
+
+    def test_path_traversal_rejected(self):
+        info = self._make_info("../../etc/passwd")
+        assert _tar_filter(info) is None
+
+    def test_path_traversal_in_middle_rejected(self):
+        info = self._make_info("src/../../../etc/passwd")
+        assert _tar_filter(info) is None
+
+    def test_dotdot_as_name_component_rejected(self):
+        info = self._make_info("foo/../bar")
+        assert _tar_filter(info) is None
+
+    def test_dotdot_in_filename_allowed(self):
+        """A file literally named 'foo..bar' is not traversal."""
+        info = self._make_info("foo..bar")
+        assert _tar_filter(info) is info
+
+    def test_directory_passes(self):
+        info = self._make_info("src/", type_=tarfile.DIRTYPE)
+        assert _tar_filter(info) is info
+
+
+# ---------------------------------------------------------------------------
+# _build_ignore_spec
+# ---------------------------------------------------------------------------
+
+
+class TestBuildIgnoreSpec:
+    def test_always_excludes_builtins(self, tmp_path):
+        spec = _build_ignore_spec(tmp_path)
+        assert spec.match_file("__pycache__/")
+        assert spec.match_file(".git/")
+        assert spec.match_file(".venv/")
+        assert spec.match_file("venv/")
+        assert spec.match_file("node_modules/")
+        assert spec.match_file(".tox/")
+        assert spec.match_file(".mypy_cache/")
+
+    def test_regular_file_not_excluded(self, tmp_path):
+        spec = _build_ignore_spec(tmp_path)
+        assert not spec.match_file("main.py")
+        assert not spec.match_file("src/app.py")
+
+    def test_merges_dockerignore(self, tmp_path):
+        (tmp_path / ".dockerignore").write_text("*.log\nbuild/\n")
+        spec = _build_ignore_spec(tmp_path)
+        assert spec.match_file("server.log")
+        assert spec.match_file("build/")
+        # builtins still present
+        assert spec.match_file("__pycache__/")
+
+    def test_merges_gitignore(self, tmp_path):
+        (tmp_path / ".gitignore").write_text("*.pyc\ndist/\n")
+        spec = _build_ignore_spec(tmp_path)
+        assert spec.match_file("module.pyc")
+        assert spec.match_file("dist/")
+
+    def test_merges_both_ignore_files(self, tmp_path):
+        (tmp_path / ".dockerignore").write_text("*.log\n")
+        (tmp_path / ".gitignore").write_text("*.pyc\n")
+        spec = _build_ignore_spec(tmp_path)
+        assert spec.match_file("app.log")
+        assert spec.match_file("mod.pyc")
+
+    def test_no_ignore_files_only_builtins(self, tmp_path):
+        spec = _build_ignore_spec(tmp_path)
+        assert spec.match_file("__pycache__/")
+        assert not spec.match_file("README.md")
+
+
+# ---------------------------------------------------------------------------
+# _add_directory
+# ---------------------------------------------------------------------------
+
+
+class TestAddDirectory:
+    def _create_project(self, tmp_path):
+        """Create a small project structure for testing."""
+        (tmp_path / "main.py").write_text("print('hello')")
+        (tmp_path / "lib").mkdir()
+        (tmp_path / "lib" / "util.py").write_text("x = 1")
+        (tmp_path / "__pycache__").mkdir()
+        (tmp_path / "__pycache__" / "main.cpython-311.pyc").write_bytes(b"\x00")
+        return tmp_path
+
+    def test_adds_files_without_prefix(self, tmp_path):
+        project = self._create_project(tmp_path)
+        spec = _build_ignore_spec(project)
+
+        archive_path = tmp_path / "out.tar"
+        with tarfile.open(archive_path, "w") as tar:
+            _add_directory(tar, project, arcname_prefix=None, ignore_spec=spec)
+
+        with tarfile.open(archive_path, "r") as tar:
+            names = tar.getnames()
+        assert "main.py" in names
+        assert "lib/util.py" in names
+
+    def test_excludes_pycache(self, tmp_path):
+        project = self._create_project(tmp_path)
+        spec = _build_ignore_spec(project)
+
+        archive_path = tmp_path / "out.tar"
+        with tarfile.open(archive_path, "w") as tar:
+            _add_directory(tar, project, arcname_prefix=None, ignore_spec=spec)
+
+        with tarfile.open(archive_path, "r") as tar:
+            names = tar.getnames()
+        assert not any("__pycache__" in n for n in names)
+
+    def test_adds_files_with_prefix(self, tmp_path):
+        project = self._create_project(tmp_path)
+        spec = _build_ignore_spec(project)
+
+        archive_path = tmp_path / "out.tar"
+        with tarfile.open(archive_path, "w") as tar:
+            _add_directory(tar, project, arcname_prefix="myapp", ignore_spec=spec)
+
+        with tarfile.open(archive_path, "r") as tar:
+            names = tar.getnames()
+        assert "myapp/main.py" in names
+        assert "myapp/lib/util.py" in names
+
+    def test_respects_custom_ignore_patterns(self, tmp_path):
+        project = self._create_project(tmp_path)
+        (project / ".gitignore").write_text("lib/\n")
+        spec = _build_ignore_spec(project)
+
+        archive_path = tmp_path / "out.tar"
+        with tarfile.open(archive_path, "w") as tar:
+            _add_directory(tar, project, arcname_prefix=None, ignore_spec=spec)
+
+        with tarfile.open(archive_path, "r") as tar:
+            names = tar.getnames()
+        assert "main.py" in names
+        assert "lib/util.py" not in names
+
+
+# ---------------------------------------------------------------------------
+# create_archive (integration)
+# ---------------------------------------------------------------------------
+
+
+class TestCreateArchive:
+    def _make_project(self, tmp_path):
+        """Set up a minimal project directory with a config file."""
+        project = tmp_path / "myproject"
+        project.mkdir()
+        config_file = project / "langgraph.json"
+        config_file.write_text('{"dependencies": ["."]}')
+        (project / "app.py").write_text("print('hello')")
+        (project / "__pycache__").mkdir()
+        (project / "__pycache__" / "app.cpython-311.pyc").write_bytes(b"\x00")
+        return config_file
+
+    @patch("langgraph_cli.archive._assemble_local_deps")
+    def test_yields_archive_with_config(self, mock_deps, tmp_path):
+        from langgraph_cli.config import LocalDeps
+
+        config_file = self._make_project(tmp_path)
+        mock_deps.return_value = LocalDeps(
+            pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
+        )
+
+        with create_archive(config_file, {}) as (archive_path, file_size, config_rel):
+            assert os.path.isfile(archive_path)
+            assert archive_path.endswith(".tar.gz")
+            assert file_size > 0
+            assert config_rel == "langgraph.json"
+
+            with tarfile.open(archive_path, "r:gz") as tar:
+                names = tar.getnames()
+            assert "langgraph.json" in names
+            assert "app.py" in names
+
+    @patch("langgraph_cli.archive._assemble_local_deps")
+    def test_excludes_pycache(self, mock_deps, tmp_path):
+        from langgraph_cli.config import LocalDeps
+
+        config_file = self._make_project(tmp_path)
+        mock_deps.return_value = LocalDeps(
+            pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
+        )
+
+        with create_archive(config_file, {}) as (archive_path, _size, _rel):
+            with tarfile.open(archive_path, "r:gz") as tar:
+                names = tar.getnames()
+            assert not any("__pycache__" in n for n in names)
+
+    @patch("langgraph_cli.archive._assemble_local_deps")
+    def test_cleans_up_tmp_dir_on_normal_exit(self, mock_deps, tmp_path):
+        from langgraph_cli.config import LocalDeps
+
+        config_file = self._make_project(tmp_path)
+        mock_deps.return_value = LocalDeps(
+            pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
+        )
+
+        with create_archive(config_file, {}) as (archive_path, _size, _rel):
+            tmp_dir = os.path.dirname(archive_path)
+            assert os.path.isdir(tmp_dir)
+
+        assert not os.path.exists(tmp_dir)
+
+    @patch("langgraph_cli.archive._assemble_local_deps")
+    def test_cleans_up_tmp_dir_on_exception(self, mock_deps, tmp_path):
+        from langgraph_cli.config import LocalDeps
+
+        config_file = self._make_project(tmp_path)
+        mock_deps.return_value = LocalDeps(
+            pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
+        )
+
+        with pytest.raises(RuntimeError, match="boom"):
+            with create_archive(config_file, {}) as (archive_path, _size, _rel):
+                tmp_dir = os.path.dirname(archive_path)
+                raise RuntimeError("boom")
+
+        assert not os.path.exists(tmp_dir)
+
+    @patch("langgraph_cli.archive._assemble_local_deps")
+    @patch("langgraph_cli.archive._MAX_SIZE", 10)
+    def test_raises_on_oversized_archive(self, mock_deps, tmp_path):
+        from langgraph_cli.config import LocalDeps
+
+        config_file = self._make_project(tmp_path)
+        mock_deps.return_value = LocalDeps(
+            pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
+        )
+
+        with pytest.raises(click.ClickException, match="exceeds the 200 MB limit"):
+            with create_archive(config_file, {}):
+                pass
+
+    @patch("langgraph_cli.archive._assemble_local_deps")
+    def test_handles_extra_contexts(self, mock_deps, tmp_path):
+        """Monorepo case: project + sibling dependency directory."""
+        from langgraph_cli.config import LocalDeps
+
+        project = tmp_path / "myproject"
+        project.mkdir()
+        config_file = project / "langgraph.json"
+        config_file.write_text('{"dependencies": [".", "../shared"]}')
+        (project / "app.py").write_text("print('hello')")
+
+        shared = tmp_path / "shared"
+        shared.mkdir()
+        (shared / "lib.py").write_text("y = 2")
+
+        mock_deps.return_value = LocalDeps(
+            pip_reqs=[],
+            real_pkgs={},
+            faux_pkgs={},
+            additional_contexts=[shared],
+        )
+
+        with create_archive(config_file, {}) as (archive_path, _size, config_rel):
+            with tarfile.open(archive_path, "r:gz") as tar:
+                names = tar.getnames()
+            assert "myproject/app.py" in names
+            assert "shared/lib.py" in names
+            assert config_rel == "myproject/langgraph.json"

libs/cli/tests/unit_tests/test_deploy_helpers.py

@@ -6,12 +6,14 @@ import click
 import httpx
 import pytest
 
-from langgraph_cli.cli import (
+from langgraph_cli.deploy import (
     _call_host_backend_with_optional_tenant,
     _docker_config_for_token,
-    _normalize_image_name,
-    _normalize_image_tag,
+    _env_without_deployment_name,
     _parse_env_from_config,
+    _resolve_env_path,
+    normalize_image_name,
+    normalize_image_tag,
 )
 from langgraph_cli.host_backend import HostBackendClient, HostBackendError
 
@@ -40,47 +42,47 @@ class TestDockerConfigForToken:
 
 class TestNormalizeImageName:
     def test_simple_name(self):
-        assert _normalize_image_name("myapp") == "myapp"
+        assert normalize_image_name("myapp") == "myapp"
 
     def test_uppercase_lowered(self):
-        assert _normalize_image_name("MyApp") == "myapp"
+        assert normalize_image_name("MyApp") == "myapp"
 
     def test_special_chars_replaced(self):
-        assert _normalize_image_name("my app!@#v2") == "my-app-v2"
+        assert normalize_image_name("my app!@#v2") == "my-app-v2"
 
     def test_dots_and_hyphens_kept(self):
-        assert _normalize_image_name("my-app.v2") == "my-app.v2"
+        assert normalize_image_name("my-app.v2") == "my-app.v2"
 
     def test_leading_trailing_stripped(self):
-        assert _normalize_image_name("--my-app..") == "my-app"
+        assert normalize_image_name("--my-app..") == "my-app"
 
     def test_empty_string_returns_app(self):
-        assert _normalize_image_name("") == "app"
+        assert normalize_image_name("") == "app"
 
     def test_none_returns_app(self):
-        assert _normalize_image_name(None) == "app"
+        assert normalize_image_name(None) == "app"
 
     def test_all_invalid_chars_returns_app(self):
-        assert _normalize_image_name("!!!") == "app"
+        assert normalize_image_name("!!!") == "app"
 
 
 class TestNormalizeImageTag:
     def test_valid_tag(self):
-        assert _normalize_image_tag("v1.2.3") == "v1.2.3"
+        assert normalize_image_tag("v1.2.3") == "v1.2.3"
 
     def test_empty_defaults_to_latest(self):
-        assert _normalize_image_tag("") == "latest"
+        assert normalize_image_tag("") == "latest"
 
     def test_alphanumeric_and_special(self):
-        assert _normalize_image_tag("my_tag-1.0") == "my_tag-1.0"
+        assert normalize_image_tag("my_tag-1.0") == "my_tag-1.0"
 
     def test_invalid_chars_raises(self):
         with pytest.raises(click.UsageError, match="Image tag may only contain"):
-            _normalize_image_tag("v1.0:bad")
+            normalize_image_tag("v1.0:bad")
 
     def test_spaces_raises(self):
         with pytest.raises(click.UsageError, match="Image tag may only contain"):
-            _normalize_image_tag("has space")
+            normalize_image_tag("has space")
 
 
 class TestParseEnvFromConfig:
@@ -137,6 +139,51 @@ class TestParseEnvFromConfig:
         assert result["EMPTY"] == ""
 
 
+class TestResolveEnvPath:
+    def test_inline_env_dict_returns_none(self, tmp_path):
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        assert _resolve_env_path({"env": {"FOO": "bar"}}, config_path) is None
+
+    def test_relative_env_path_resolves(self, tmp_path):
+        env_file = tmp_path / "custom.env"
+        env_file.write_text("FOO=bar\n")
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+
+        resolved = _resolve_env_path({"env": "custom.env"}, config_path)
+        assert resolved == env_file.resolve()
+
+    def test_missing_env_file_returns_none(self, tmp_path):
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        assert _resolve_env_path({"env": "missing.env"}, config_path) is None
+
+    def test_default_env_is_cwd_dotenv(self, tmp_path, monkeypatch):
+        monkeypatch.chdir(tmp_path)
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        assert _resolve_env_path({}, config_path) == tmp_path / ".env"
+
+
+class TestEnvWithoutDeploymentName:
+    def test_removes_deployment_name_only(self):
+        env = {
+            "LANGSMITH_DEPLOYMENT_NAME": "my-deploy",
+            "KEEP_ME": "value",
+        }
+        cleaned = _env_without_deployment_name(env)
+
+        assert "LANGSMITH_DEPLOYMENT_NAME" not in cleaned
+        assert cleaned["KEEP_ME"] == "value"
+        # Original dict should be unchanged.
+        assert env["LANGSMITH_DEPLOYMENT_NAME"] == "my-deploy"
+
+    def test_noop_when_deployment_name_absent(self):
+        env = {"FOO": "bar"}
+        assert _env_without_deployment_name(env) == {"FOO": "bar"}
+
+
 class TestCallHostBackendWithOptionalTenant:
     def _make_client(self, handler):
         c = HostBackendClient("https://api.example.com", "test-key")

libs/cli/tests/unit_tests/test_host_backend.py

@@ -121,7 +121,9 @@ def test_request_transport_error_raises():
 
 
 def test_create_deployment(client):
-    result = client.create_deployment({"name": "my-deploy"})
+    result = client.create_deployment(
+        name="my-deploy", deployment_type="dev", source="internal_docker"
+    )
     assert result == {"ok": True}
 
 

libs/cli/tests/unit_tests/test_logs_helpers.py

@@ -1,4 +1,4 @@
-from langgraph_cli.helpers import format_log_entry, format_timestamp, level_fg
+from langgraph_cli.deploy import format_log_entry, format_timestamp, level_fg
 
 
 class TestFormatTimestamp:

libs/cli/tests/unit_tests/test_util.py

@@ -1,12 +1,11 @@
 from unittest.mock import patch
 
-from langgraph_cli.util import (
+from langgraph_cli.deploy import (
     _extract_deployment_url,
-    clean_empty_lines,
     format_deployments_table,
     format_revisions_table,
-    warn_non_wolfi_distro,
 )
+from langgraph_cli.util import clean_empty_lines, warn_non_wolfi_distro
 
 
 def test_clean_empty_lines():

libs/cli/uv-examples/monorepo/apps/agent/.env.example

@@ -0,0 +1 @@
+OPENAI_API_KEY=

libs/cli/uv-examples/monorepo/apps/agent/langgraph.json

@@ -0,0 +1,12 @@
+{
+  "python_version": "3.12",
+  "graphs": {
+    "agent": "./src/agent/graph.py:graph"
+  },
+  "source": {
+    "kind": "uv",
+    "root": "../..",
+    "package": "agent"
+  },
+  "env": ".env"
+}

libs/cli/uv-examples/monorepo/apps/agent/pyproject.toml

@@ -0,0 +1,20 @@
+[project]
+name = "agent"
+version = "0.0.1"
+description = "Agent for the uv monorepo example"
+requires-python = ">=3.11"
+dependencies = [
+    "langgraph>=0.6.0,<2",
+    "langchain-core>=0.2.14",
+    "shared",
+]
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["agent"]
+
+[tool.setuptools.package-dir]
+"agent" = "src/agent"

libs/cli/uv-examples/monorepo/apps/agent/src/agent/graph.py

@@ -0,0 +1,31 @@
+from collections.abc import Sequence
+from typing import Annotated, TypedDict
+
+from langchain_core.messages import AIMessage, BaseMessage
+from langgraph.graph import END, START, StateGraph
+from langgraph.graph.message import add_messages
+from shared import get_dummy_message
+
+
+class State(TypedDict):
+    messages: Annotated[Sequence[BaseMessage], add_messages]
+
+
+def call_model(state: State) -> dict:
+    dummy_message = get_dummy_message()
+    message = AIMessage(content=f"Agent says: {dummy_message}")
+    return {"messages": [message]}
+
+
+def should_continue(state: State):
+    if len(state["messages"]) > 0:
+        return END
+    return "call_model"
+
+
+workflow = StateGraph(State)
+workflow.add_node("call_model", call_model)
+workflow.add_edge(START, "call_model")
+workflow.add_conditional_edges("call_model", should_continue)
+
+graph = workflow.compile()

libs/cli/uv-examples/monorepo/libs/shared/pyproject.toml

@@ -0,0 +1,16 @@
+[project]
+name = "shared"
+version = "0.0.1"
+description = "Shared utilities for the uv monorepo example"
+requires-python = ">=3.11"
+dependencies = []
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["shared"]
+
+[tool.setuptools.package-dir]
+"shared" = "src/shared"

libs/cli/uv-examples/monorepo/libs/shared/src/shared/__init__.py

@@ -0,0 +1,3 @@
+from .utils import get_dummy_message
+
+__all__ = ["get_dummy_message"]

libs/cli/uv-examples/monorepo/libs/shared/src/shared/utils.py

@@ -0,0 +1,2 @@
+def get_dummy_message() -> str:
+    return "Hello from shared library!"

libs/cli/uv-examples/monorepo/pyproject.toml

@@ -0,0 +1,22 @@
+[project]
+name = "uv-monorepo-example"
+version = "0.0.1"
+description = "uv workspace monorepo example for LangGraph CLI integration test"
+requires-python = ">=3.11"
+dependencies = [
+    "langgraph>=0.6.0,<2",
+    "langchain-core>=0.2.14",
+]
+
+[tool.uv.workspace]
+members = ["apps/*", "libs/*"]
+
+[tool.uv.sources]
+shared = { workspace = true }
+
+[tool.uv]
+package = false
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"

libs/cli/uv-examples/monorepo/uv.lock

@@ -0,0 +1,893 @@
+version = 1
+revision = 3
+requires-python = ">=3.11"
+
+[manifest]
+members = [
+    "agent",
+    "shared",
+    "uv-monorepo-example",
+]
+
+[[package]]
+name = "agent"
+version = "0.0.1"
+source = { editable = "apps/agent" }
+dependencies = [
+    { name = "langchain-core" },
+    { name = "langgraph" },
+    { name = "shared" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "langchain-core", specifier = ">=0.2.14" },
+    { name = "langgraph", specifier = ">=0.6.0,<2" },
+    { name = "shared", editable = "libs/shared" },
+]
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
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libs/cli/uv-examples/simple/.env.example

@@ -0,0 +1 @@
+OPENAI_API_KEY=

libs/cli/uv-examples/simple/langgraph.json

@@ -0,0 +1,11 @@
+{
+  "python_version": "3.12",
+  "graphs": {
+    "agent": "./src/agent/graph.py:graph"
+  },
+  "source": {
+    "kind": "uv",
+    "root": "."
+  },
+  "env": ".env"
+}

libs/cli/uv-examples/simple/pyproject.toml

@@ -0,0 +1,19 @@
+[project]
+name = "simple-uv-agent"
+version = "0.1.0"
+description = "Simple single-package uv example for LangGraph CLI integration test"
+requires-python = ">=3.11"
+dependencies = [
+    "langgraph>=0.6.0,<2",
+    "langchain-core>=0.2.14",
+]
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["agent"]
+
+[tool.setuptools.package-dir]
+"agent" = "src/agent"

libs/cli/uv-examples/simple/src/agent/graph.py

@@ -0,0 +1,29 @@
+from collections.abc import Sequence
+from typing import Annotated, TypedDict
+
+from langchain_core.messages import AIMessage, BaseMessage
+from langgraph.graph import END, START, StateGraph
+from langgraph.graph.message import add_messages
+
+
+class State(TypedDict):
+    messages: Annotated[Sequence[BaseMessage], add_messages]
+
+
+def call_model(state: State) -> dict:
+    message = AIMessage(content="Hello from simple uv agent!")
+    return {"messages": [message]}
+
+
+def should_continue(state: State):
+    if len(state["messages"]) > 0:
+        return END
+    return "call_model"
+
+
+workflow = StateGraph(State)
+workflow.add_node("call_model", call_model)
+workflow.add_edge(START, "call_model")
+workflow.add_conditional_edges("call_model", should_continue)
+
+graph = workflow.compile()

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+]

libs/langgraph/langgraph/_internal/_config.py

@@ -217,14 +217,16 @@ def get_callback_manager_for_config(
             callbacks.add_tags(all_tags)
         if metadata := config.get("metadata"):
             callbacks.add_metadata(metadata)
-        return callbacks
+        manager = callbacks
     else:
         # otherwise create a new manager
-        return CallbackManager.configure(
+        manager = CallbackManager.configure(
             inheritable_callbacks=config.get("callbacks"),
             inheritable_tags=all_tags,
             inheritable_metadata=config.get("metadata"),
+            langsmith_inheritable_metadata=_get_tracing_metadata_defaults(config),
         )
+    return manager
 
 
 def get_async_callback_manager_for_config(
@@ -255,14 +257,16 @@ def get_async_callback_manager_for_config(
             callbacks.add_tags(all_tags)
         if metadata := config.get("metadata"):
             callbacks.add_metadata(metadata)
-        return callbacks
+        manager = callbacks
     else:
         # otherwise create a new manager
-        return AsyncCallbackManager.configure(
+        manager = AsyncCallbackManager.configure(
             inheritable_callbacks=config.get("callbacks"),
             inheritable_tags=all_tags,
             inheritable_metadata=config.get("metadata"),
+            langsmith_inheritable_metadata=_get_tracing_metadata_defaults(config),
         )
+    return manager
 
 
 def _is_not_empty(value: Any) -> bool:
@@ -308,4 +312,54 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
         for k, v in config.items():
             if _is_not_empty(v) and k not in CONFIG_KEYS:
                 empty[CONF][k] = v
+
+    configurable = empty.get("configurable")
+    metadata = empty.get("metadata")
+    if configurable and metadata is not None:
+        for key in _PROPAGATE_TO_METADATA:
+            if key in metadata:
+                continue
+            value = configurable.get(key)
+            if value:
+                metadata[key] = value
     return empty
+
+
+_OMIT = ("key", "token", "secret", "password", "auth")
+
+
+def _exclude_as_metadata(key: str, value: Any) -> bool:
+    key_lower = key.casefold()
+    return (
+        key.startswith("__")
+        or not isinstance(value, (str, int, float, bool))
+        or any(substr in key_lower for substr in _OMIT)
+    )
+
+
+def _get_tracing_metadata_defaults(
+    config: RunnableConfig,
+) -> dict[str, Any] | None:
+    """Get tracer-only metadata defaults from configurable values."""
+    configurable = config.get("configurable")
+    if not configurable:
+        return None
+    metadata: dict[str, Any] = {}
+    for key, value in configurable.items():
+        if _exclude_as_metadata(key, value):
+            continue
+        metadata[key] = value
+    return metadata or None
+
+
+_PROPAGATE_TO_METADATA = frozenset(
+    (
+        "thread_id",
+        "checkpoint_id",
+        "checkpoint_ns",
+        "task_id",
+        "run_id",
+        "assistant_id",
+        "graph_id",
+    )
+)

libs/langgraph/langgraph/callbacks.py

@@ -0,0 +1,412 @@
+"""Graph lifecycle callback interfaces and event payloads.
+
+This module defines the public callback surface for observing LangGraph-specific
+lifecycle transitions such as interrupt and resume.
+"""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+from dataclasses import dataclass
+from typing import Any, Literal, TypeAlias, TypeVar
+from uuid import UUID
+
+from langchain_core.callbacks import BaseCallbackHandler, BaseCallbackManager
+from langchain_core.callbacks.manager import ahandle_event, handle_event
+from langchain_core.runnables import RunnableConfig
+
+from langgraph.types import Interrupt
+
+__all__ = (
+    "GraphCallbackHandler",
+    "GraphInterruptEvent",
+    "GraphLifecycleEvent",
+    "GraphLifecycleStatus",
+    "GraphResumeEvent",
+    "get_async_graph_callback_manager_for_config",
+    "get_sync_graph_callback_manager_for_config",
+)
+
+
+GraphLifecycleStatus: TypeAlias = Literal[
+    "input",
+    "pending",
+    "done",
+    "interrupt_before",
+    "interrupt_after",
+    "out_of_steps",
+]
+"""Allowed lifecycle statuses reported in graph lifecycle callback events."""
+
+
+@dataclass(frozen=True)
+class GraphInterruptEvent:
+    """Graph lifecycle event emitted when execution pauses for interrupts."""
+
+    run_id: UUID | None
+    """Run id for the current graph execution, if available."""
+
+    status: GraphLifecycleStatus
+    """Loop status when the interrupt was captured."""
+
+    checkpoint_id: str
+    """Checkpoint id associated with the interrupted execution."""
+
+    checkpoint_ns: tuple[str, ...]
+    """Checkpoint namespace path for the current graph or subgraph."""
+
+    interrupts: tuple[Interrupt, ...]
+    """Interrupt payloads that caused the graph to pause."""
+
+
+@dataclass(frozen=True)
+class GraphResumeEvent:
+    """Graph lifecycle event emitted when execution resumes from a checkpoint."""
+
+    run_id: UUID | None
+    """Run id for the current graph execution, if available."""
+
+    status: GraphLifecycleStatus
+    """Loop status when the resume was captured."""
+
+    checkpoint_id: str
+    """Checkpoint id the graph resumed from."""
+
+    checkpoint_ns: tuple[str, ...]
+    """Checkpoint namespace path for the current graph or subgraph."""
+
+
+GraphLifecycleEvent: TypeAlias = GraphInterruptEvent | GraphResumeEvent
+"""Union of all public graph lifecycle callback event payloads.
+
+Use this alias when a callback or helper can receive either interrupt or resume
+lifecycle events.
+"""
+
+
+class GraphCallbackHandler(BaseCallbackHandler):
+    """Base class for graph-level lifecycle callbacks.
+
+    Subclass this handler to observe graph lifecycle transitions that are
+    specific to LangGraph execution, rather than generic LangChain runnable
+    callbacks.
+
+    Instances can be passed through `config["callbacks"]` when invoking a
+    graph. Only handlers that inherit from `GraphCallbackHandler` receive these
+    lifecycle events.
+    """
+
+    def on_interrupt(self, event: GraphInterruptEvent) -> Any:
+        """Run when graph execution pauses due to one or more interrupts.
+
+        Args:
+            event: Interrupt lifecycle event payload.
+        """
+
+    def on_resume(self, event: GraphResumeEvent) -> Any:
+        """Run when graph execution resumes from a persisted checkpoint.
+
+        Args:
+            event: Resume lifecycle event payload.
+        """
+
+
+_MISSING = object()
+
+
+def _filter_graph_handlers(
+    handlers: list[BaseCallbackHandler],
+) -> list[GraphCallbackHandler]:
+    return [h for h in handlers if isinstance(h, GraphCallbackHandler)]
+
+
+def _init_base_manager(
+    manager: BaseCallbackManager,
+    handlers: Sequence[GraphCallbackHandler] | None,
+    inheritable_handlers: Sequence[GraphCallbackHandler] | None,
+    parent_run_id: UUID | None,
+    *,
+    tags: list[str] | None,
+    inheritable_tags: list[str] | None,
+    metadata: dict[str, Any] | None,
+    inheritable_metadata: dict[str, Any] | None,
+    run_id: UUID | None,
+) -> None:
+    base_handlers: list[BaseCallbackHandler] = []
+    base_inheritable_handlers: list[BaseCallbackHandler] = []
+    if handlers is not None:
+        base_handlers.extend(handlers)
+    if inheritable_handlers is not None:
+        base_inheritable_handlers.extend(inheritable_handlers)
+    BaseCallbackManager.__init__(
+        manager,
+        handlers=base_handlers,
+        inheritable_handlers=base_inheritable_handlers,
+        parent_run_id=parent_run_id,
+        tags=tags,
+        inheritable_tags=inheritable_tags,
+        metadata=metadata,
+        inheritable_metadata=inheritable_metadata,
+    )
+    manager.run_id = run_id  # type: ignore[attr-defined]
+
+
+def _configure_graph_callbacks(
+    cls: type[_GraphManagerT],
+    callbacks: object | None,
+    *,
+    run_id: UUID | None,
+) -> _GraphManagerT:
+    if callbacks is None:
+        return cls(run_id=run_id)
+    if isinstance(callbacks, cls):
+        return callbacks.copy(run_id=run_id)
+    if isinstance(callbacks, (_GraphCallbackManager, _AsyncGraphCallbackManager)):
+        # Cross-type: extract handlers into the requested cls.
+        return cls(
+            handlers=_filter_graph_handlers(callbacks.handlers),
+            inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
+            parent_run_id=callbacks.parent_run_id,
+            tags=callbacks.tags.copy(),
+            inheritable_tags=callbacks.inheritable_tags.copy(),
+            metadata=callbacks.metadata.copy(),
+            inheritable_metadata=callbacks.inheritable_metadata.copy(),
+            run_id=run_id,
+        )
+    if isinstance(callbacks, BaseCallbackManager):
+        return cls(
+            handlers=_filter_graph_handlers(callbacks.handlers),
+            inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
+            parent_run_id=callbacks.parent_run_id,
+            tags=callbacks.tags.copy(),
+            inheritable_tags=callbacks.inheritable_tags.copy(),
+            metadata=callbacks.metadata.copy(),
+            inheritable_metadata=callbacks.inheritable_metadata.copy(),
+            run_id=run_id,
+        )
+    if isinstance(callbacks, GraphCallbackHandler):
+        return cls((callbacks,), run_id=run_id)
+    if isinstance(callbacks, (str, bytes)) or not isinstance(callbacks, Sequence):
+        raise TypeError("callbacks must be a handler, sequence, or manager")
+    return cls(_filter_graph_handlers(list(callbacks)), run_id=run_id)
+
+
+def _copy_graph_manager(
+    manager: _GraphCallbackManager | _AsyncGraphCallbackManager,
+    cls: type[_GraphManagerT],
+    run_id: UUID | None | object,
+) -> _GraphManagerT:
+    resolved_run_id: UUID | None
+    if run_id is _MISSING:
+        resolved_run_id = manager.run_id
+    else:
+        if run_id is not None and not isinstance(run_id, UUID):
+            raise TypeError("run_id must be a UUID or None")
+        resolved_run_id = run_id
+
+    return cls(
+        handlers=_filter_graph_handlers(manager.handlers),
+        inheritable_handlers=_filter_graph_handlers(manager.inheritable_handlers),
+        parent_run_id=manager.parent_run_id,
+        tags=manager.tags.copy(),
+        inheritable_tags=manager.inheritable_tags.copy(),
+        metadata=manager.metadata.copy(),
+        inheritable_metadata=manager.inheritable_metadata.copy(),
+        run_id=resolved_run_id,
+    )
+
+
+class _GraphCallbackManager(BaseCallbackManager):
+    """Sync dispatcher for graph lifecycle events."""
+
+    run_id: UUID | None
+
+    def __init__(
+        self,
+        handlers: Sequence[GraphCallbackHandler] | None = None,
+        inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
+        parent_run_id: UUID | None = None,
+        *,
+        tags: list[str] | None = None,
+        inheritable_tags: list[str] | None = None,
+        metadata: dict[str, Any] | None = None,
+        inheritable_metadata: dict[str, Any] | None = None,
+        run_id: UUID | None = None,
+    ) -> None:
+        _init_base_manager(
+            self,
+            handlers,
+            inheritable_handlers,
+            parent_run_id,
+            tags=tags,
+            inheritable_tags=inheritable_tags,
+            metadata=metadata,
+            inheritable_metadata=inheritable_metadata,
+            run_id=run_id,
+        )
+
+    def add_handler(
+        self,
+        handler: BaseCallbackHandler,
+        inherit: bool = True,  # noqa: FBT001,FBT002
+    ) -> None:
+        if not isinstance(handler, GraphCallbackHandler):
+            raise TypeError("handlers must inherit GraphCallbackHandler")
+        super().add_handler(handler, inherit=inherit)
+
+    def copy(
+        self,
+        *,
+        run_id: UUID | None | object = _MISSING,
+    ) -> _GraphCallbackManager:
+        return _copy_graph_manager(self, _GraphCallbackManager, run_id)
+
+    @classmethod
+    def configure(
+        cls,
+        callbacks: object | None = None,
+        *,
+        run_id: UUID | None = None,
+    ) -> _GraphCallbackManager:
+        return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
+
+    def on_interrupt(self, event: GraphInterruptEvent) -> None:
+        handle_event(
+            self.handlers,
+            "on_interrupt",
+            None,
+            event,
+        )
+
+    def on_resume(self, event: GraphResumeEvent) -> None:
+        handle_event(
+            self.handlers,
+            "on_resume",
+            None,
+            event,
+        )
+
+
+class _AsyncGraphCallbackManager(BaseCallbackManager):
+    """Async dispatcher for graph lifecycle events."""
+
+    run_id: UUID | None
+
+    @property
+    def is_async(self) -> bool:
+        """Return whether the manager is async."""
+        return True
+
+    def __init__(
+        self,
+        handlers: Sequence[GraphCallbackHandler] | None = None,
+        inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
+        parent_run_id: UUID | None = None,
+        *,
+        tags: list[str] | None = None,
+        inheritable_tags: list[str] | None = None,
+        metadata: dict[str, Any] | None = None,
+        inheritable_metadata: dict[str, Any] | None = None,
+        run_id: UUID | None = None,
+    ) -> None:
+        _init_base_manager(
+            self,
+            handlers,
+            inheritable_handlers,
+            parent_run_id,
+            tags=tags,
+            inheritable_tags=inheritable_tags,
+            metadata=metadata,
+            inheritable_metadata=inheritable_metadata,
+            run_id=run_id,
+        )
+
+    def add_handler(
+        self,
+        handler: BaseCallbackHandler,
+        inherit: bool = True,  # noqa: FBT001,FBT002
+    ) -> None:
+        if not isinstance(handler, GraphCallbackHandler):
+            raise TypeError("handlers must inherit GraphCallbackHandler")
+        super().add_handler(handler, inherit=inherit)
+
+    def copy(
+        self,
+        *,
+        run_id: UUID | None | object = _MISSING,
+    ) -> _AsyncGraphCallbackManager:
+        return _copy_graph_manager(self, _AsyncGraphCallbackManager, run_id)
+
+    @classmethod
+    def configure(
+        cls,
+        callbacks: object | None = None,
+        *,
+        run_id: UUID | None = None,
+    ) -> _AsyncGraphCallbackManager:
+        return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
+
+    async def on_interrupt(self, event: GraphInterruptEvent) -> None:
+        await ahandle_event(
+            self.handlers,
+            "on_interrupt",
+            None,
+            event,
+        )
+
+    async def on_resume(self, event: GraphResumeEvent) -> None:
+        await ahandle_event(
+            self.handlers,
+            "on_resume",
+            None,
+            event,
+        )
+
+
+_GraphManagerT = TypeVar(
+    "_GraphManagerT", _GraphCallbackManager, _AsyncGraphCallbackManager
+)
+
+GraphCallbacks: TypeAlias = (
+    _GraphCallbackManager
+    | _AsyncGraphCallbackManager
+    | BaseCallbackManager
+    | GraphCallbackHandler
+    | Sequence[BaseCallbackHandler]
+    | Sequence[GraphCallbackHandler]
+    | None
+)
+
+
+def get_sync_graph_callback_manager_for_config(
+    config: RunnableConfig,
+    *,
+    run_id: UUID | None = None,
+) -> _GraphCallbackManager:
+    """Build a sync graph lifecycle callback manager from a runnable config.
+
+    This helper filters `config["callbacks"]` down to handlers that inherit
+    from `GraphCallbackHandler` and binds the provided `run_id` onto the
+    returned manager.
+    """
+    return _GraphCallbackManager.configure(
+        config.get("callbacks"),
+        run_id=run_id,
+    )
+
+
+def get_async_graph_callback_manager_for_config(
+    config: RunnableConfig,
+    *,
+    run_id: UUID | None = None,
+) -> _AsyncGraphCallbackManager:
+    """Build an async graph lifecycle callback manager from a runnable config.
+
+    This helper filters `config["callbacks"]` down to handlers that inherit
+    from `GraphCallbackHandler` and binds the provided `run_id` onto the
+    returned manager.
+    """
+    return _AsyncGraphCallbackManager.configure(
+        config.get("callbacks"),
+        run_id=run_id,
+    )

libs/langgraph/langgraph/channels/__init__.py

@@ -1,6 +1,7 @@
 from langgraph.channels.any_value import AnyValue
 from langgraph.channels.base import BaseChannel
 from langgraph.channels.binop import BinaryOperatorAggregate
+from langgraph.channels.delta import DeltaChannel
 from langgraph.channels.ephemeral_value import EphemeralValue
 from langgraph.channels.last_value import LastValue, LastValueAfterFinish
 from langgraph.channels.named_barrier_value import (
@@ -20,6 +21,7 @@ __all__ = (
     "UntrackedValue",
     "EphemeralValue",
     "BinaryOperatorAggregate",
+    "DeltaChannel",
     "NamedBarrierValue",
     "NamedBarrierValueAfterFinish",
     # topics

libs/langgraph/langgraph/channels/base.py

@@ -119,3 +119,12 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
         Returns `True` if the channel was updated, `False` otherwise.
         """
         return False
+
+    def after_checkpoint(self, version: Any, checkpoint_id: str | None = None) -> None:
+        """Called after checkpoint() with the assigned version, and after
+        from_checkpoint() with the current channel version.
+
+        No-op by default. Override in channels that track their own version
+        for incremental checkpointing (e.g. DeltaChannel).
+        """
+        pass

libs/langgraph/langgraph/channels/delta.py

@@ -0,0 +1,206 @@
+from __future__ import annotations
+
+import collections.abc
+from collections.abc import Callable, Sequence
+from typing import Any, Generic
+
+from langgraph.checkpoint.base import DeltaChainValue, DeltaValue
+from typing_extensions import Self
+
+from langgraph._internal._typing import MISSING
+from langgraph.channels.base import BaseChannel, Value
+from langgraph.channels.binop import _get_overwrite, _strip_extras
+from langgraph.errors import EmptyChannelError
+
+__all__ = ("DeltaChannel",)
+
+
+class DeltaChannel(Generic[Value], BaseChannel[list[Value], Value, DeltaValue]):
+    """A channel that stores only per-step write deltas in checkpoints.
+
+    Reconstructs the full accumulated list at load time by replaying the
+    chain of deltas through the operator. Use with append-style reducers
+    (e.g. `add_messages`) on long-running threads to reduce checkpoint
+    storage from O(N²) to O(N).
+
+    Works with all checkpointers. Savers with a dedicated blob store
+    (InMemorySaver, PostgresSaver) use an O(1) fast-path per chain step;
+    all others (SQLite, MongoDB, etc.) fall back to get_tuple traversal.
+
+    Use `snapshot_every=N` to cap chain traversal depth at N steps. Every N
+    steps a full snapshot is written as the chain root; subsequent deltas
+    chain back to it, so `get_state` / reload never traverses more than N
+    checkpoints regardless of thread length. Recommended for savers without
+    a dedicated blob store.
+
+    Usage::
+
+        class State(TypedDict):
+            messages: Annotated[list[AnyMessage], DeltaChannel(add_messages)]
+            # Cap reconstruction depth (recommended for SQLite / MongoDB savers):
+            messages: Annotated[list[AnyMessage], DeltaChannel(add_messages, snapshot_every=50)]
+    """
+
+    __slots__ = (
+        "value",
+        "operator",
+        "snapshot_every",
+        "_pending",
+        "_base_version",
+        "_last_checkpoint_id",
+        "_overwritten",
+        "_steps_since_snapshot",
+    )
+
+    def __init__(
+        self,
+        operator: Callable[[list[Value], Any], list[Value]],
+        typ: type = list,
+        *,
+        snapshot_every: int | None = None,
+    ) -> None:
+        typ = _strip_extras(typ)
+        if typ in (
+            collections.abc.Sequence,
+            collections.abc.MutableSequence,
+        ):
+            typ = list
+        super().__init__(typ)
+        self.operator = operator
+        self.snapshot_every = snapshot_every
+        try:
+            self.value: list[Value] = typ()
+        except Exception:
+            self.value = []
+        self._pending: list[Any] = []
+        self._base_version: str | None = None
+        self._last_checkpoint_id: str | None = None
+        self._overwritten: bool = False
+        self._steps_since_snapshot: int = 0
+
+    def __eq__(self, other: object) -> bool:
+        if not isinstance(other, DeltaChannel):
+            return False
+        if self.snapshot_every != other.snapshot_every:
+            return False
+        if (
+            self.operator.__name__ != "<lambda>"
+            and other.operator.__name__ != "<lambda>"
+        ):
+            return self.operator is other.operator
+        return True
+
+    @property
+    def ValueType(self) -> Any:
+        return list[self.typ]  # type: ignore[name-defined]
+
+    @property
+    def UpdateType(self) -> Any:
+        return self.typ | list[self.typ]  # type: ignore[name-defined]
+
+    def copy(self) -> Self:
+        new = DeltaChannel(self.operator, self.typ, snapshot_every=self.snapshot_every)
+        new.key = self.key
+        new.value = self.value[:]
+        new._pending = self._pending[:]
+        new._base_version = self._base_version
+        new._last_checkpoint_id = self._last_checkpoint_id
+        new._overwritten = self._overwritten
+        new._steps_since_snapshot = self._steps_since_snapshot
+        return new
+
+    def from_checkpoint(self, checkpoint: Any) -> Self:
+        new = DeltaChannel(self.operator, self.typ, snapshot_every=self.snapshot_every)
+        new.key = self.key
+        if checkpoint is MISSING:
+            new.value = []
+        elif isinstance(checkpoint, DeltaChainValue):
+            accumulated: list[Value] = list(checkpoint.base) if checkpoint.base else []
+            for step_writes in checkpoint.deltas:
+                for write in step_writes:
+                    accumulated = new.operator(accumulated, write)
+            new.value = accumulated
+            # Seed the counter from actual chain depth so rehydration fires at
+            # the right time regardless of how many prior invocations there were.
+            new._steps_since_snapshot = len(checkpoint.deltas)
+        elif isinstance(checkpoint, DeltaValue):
+            # Should never reach here — the pregel layer assembles DeltaValues
+            # into DeltaChainValue before calling from_checkpoint.
+            raise AssertionError(
+                "DeltaChannel.from_checkpoint received a raw DeltaValue. "
+                "This is a bug in the pregel layer — chain assembly should have "
+                "occurred before from_checkpoint was called."
+            )
+        else:
+            # Backwards compat: plain list from old BinaryOperatorAggregate checkpoint.
+            new.value = list(checkpoint)
+        new._pending = []
+        new._base_version = None  # set by the subsequent after_checkpoint() call
+        new._overwritten = False
+        return new
+
+    def update(self, values: Sequence[Any]) -> bool:
+        if not values:
+            return False
+        seen_overwrite = False
+        for value in values:
+            is_overwrite, overwrite_value = _get_overwrite(value)
+            if is_overwrite:
+                if seen_overwrite:
+                    from langgraph.errors import (
+                        ErrorCode,
+                        InvalidUpdateError,
+                        create_error_message,
+                    )
+
+                    msg = create_error_message(
+                        message="Can receive only one Overwrite value per super-step.",
+                        error_code=ErrorCode.INVALID_CONCURRENT_GRAPH_UPDATE,
+                    )
+                    raise InvalidUpdateError(msg)
+                self.value = (
+                    list(overwrite_value) if overwrite_value is not None else []
+                )
+                self._pending = list(self.value)
+                self._overwritten = True
+                seen_overwrite = True
+            elif not seen_overwrite:
+                self.value = self.operator(self.value, value)
+                self._pending.append(value)
+        return True
+
+    def get(self) -> list[Value]:
+        if self.value is MISSING:
+            raise EmptyChannelError()
+        return self.value
+
+    def is_available(self) -> bool:
+        return self.value is not MISSING
+
+    def checkpoint(self) -> Any:
+        if (
+            self.snapshot_every is not None
+            and self._steps_since_snapshot >= self.snapshot_every
+        ):
+            # Emit a full snapshot to cap chain depth at snapshot_every.
+            # The saver stores this as a plain (non-diff) blob, so future
+            # deltas will chain back to it and traversal depth resets to 1.
+            return list(self.value)
+        return DeltaValue(
+            delta=self._pending[:],
+            prev_checkpoint_id=None if self._overwritten else self._last_checkpoint_id,
+        )
+
+    def after_checkpoint(self, version: Any, checkpoint_id: str | None = None) -> None:
+        if version != self._base_version:
+            if self._base_version is None:
+                pass  # First call after from_checkpoint — anchor without counting a step.
+            elif self.snapshot_every is not None:
+                if self._steps_since_snapshot >= self.snapshot_every:
+                    self._steps_since_snapshot = 0
+                else:
+                    self._steps_since_snapshot += 1
+            self._base_version = version
+            self._last_checkpoint_id = checkpoint_id
+            self._pending = []
+            self._overwritten = False

libs/langgraph/langgraph/pregel/_algo.py

@@ -45,6 +45,7 @@ from langgraph._internal._constants import (
     CONFIG_KEY_SCRATCHPAD,
     CONFIG_KEY_SEND,
     CONFIG_KEY_TASK_ID,
+    CONFIG_KEY_THREAD_ID,
     ERROR,
     INTERRUPT,
     NO_WRITES,
@@ -70,7 +71,7 @@ from langgraph.pregel._call import get_runnable_for_task, identifier
 from langgraph.pregel._io import read_channels
 from langgraph.pregel._log import logger
 from langgraph.pregel._read import INPUT_CACHE_KEY_TYPE, PregelNode
-from langgraph.runtime import DEFAULT_RUNTIME, Runtime
+from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
 from langgraph.types import (
     All,
     CacheKey,
@@ -668,6 +669,13 @@ def prepare_single_task(
                     runtime = runtime.override(
                         previous=checkpoint["channel_values"].get(PREVIOUS, None),
                         store=store,
+                        execution_info=ExecutionInfo(
+                            checkpoint_id=checkpoint["id"],
+                            checkpoint_ns=task_checkpoint_ns,
+                            task_id=task_id,
+                            thread_id=configurable.get(CONFIG_KEY_THREAD_ID),
+                            run_id=str(rid) if (rid := config.get("run_id")) else None,
+                        ),
                     )
                     additional_config = {
                         "metadata": metadata,
@@ -813,7 +821,16 @@ def prepare_push_task_functional(
             stop,
         )
         runtime = cast(Runtime, configurable.get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME))
-        runtime = runtime.override(store=store)
+        runtime = runtime.override(
+            store=store,
+            execution_info=ExecutionInfo(
+                checkpoint_id=checkpoint["id"],
+                checkpoint_ns=task_checkpoint_ns,
+                task_id=task_id,
+                thread_id=configurable.get(CONFIG_KEY_THREAD_ID),
+                run_id=str(rid) if (rid := config.get("run_id")) else None,
+            ),
+        )
         return PregelExecutableTask(
             name,
             call.input,
@@ -966,7 +983,15 @@ def prepare_push_task_send(
         )
         runtime = cast(Runtime, configurable.get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME))
         runtime = runtime.override(
-            store=store, previous=checkpoint["channel_values"].get(PREVIOUS, None)
+            store=store,
+            previous=checkpoint["channel_values"].get(PREVIOUS, None),
+            execution_info=ExecutionInfo(
+                checkpoint_id=checkpoint["id"],
+                checkpoint_ns=task_checkpoint_ns,
+                task_id=task_id,
+                thread_id=configurable.get(CONFIG_KEY_THREAD_ID),
+                run_id=str(rid) if (rid := config.get("run_id")) else None,
+            ),
         )
         additional_config: RunnableConfig = {
             "metadata": metadata,

libs/langgraph/langgraph/pregel/_checkpoint.py

@@ -1,9 +1,17 @@
 from __future__ import annotations
 
+import logging
 from collections.abc import Mapping
 from datetime import datetime, timezone
+from typing import Any
 
-from langgraph.checkpoint.base import Checkpoint
+from langchain_core.runnables import RunnableConfig
+from langgraph.checkpoint.base import (
+    BaseCheckpointSaver,
+    Checkpoint,
+    DeltaChainValue,
+    DeltaValue,
+)
 from langgraph.checkpoint.base.id import uuid6
 
 from langgraph._internal._typing import MISSING
@@ -12,6 +20,171 @@ from langgraph.managed.base import ManagedValueMapping, ManagedValueSpec
 
 LATEST_VERSION = 4
 
+logger = logging.getLogger(__name__)
+
+_MISSING_SENTINEL = object()
+
+
+def _assemble_delta_channels(
+    checkpoint: Checkpoint,
+    config: RunnableConfig,
+    checkpointer: BaseCheckpointSaver,
+) -> dict[str, Any]:
+    """Resolve any DeltaValue entries in checkpoint channel_values to DeltaChainValue.
+
+    Returns a dict of only the channels that needed assembly (others are untouched).
+    Tries get_channel_blob fast-path first; falls back to get_tuple traversal.
+    """
+    thread_id = str(config["configurable"]["thread_id"])
+    checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
+    current_checkpoint_id = checkpoint.get("id")
+    assembled: dict[str, Any] = {}
+
+    for channel, value in checkpoint["channel_values"].items():
+        if not isinstance(value, DeltaValue):
+            continue
+
+        chain_deltas: list[list[Any]] = []
+        base: list[Any] | None = None
+        cursor: DeltaValue = value
+        # Pre-seed with current checkpoint ID to guard against self-referential chains.
+        visited: set[str] = {current_checkpoint_id} if current_checkpoint_id else set()
+
+        while True:
+            chain_deltas.append(cursor.delta)
+            prev_id = cursor.prev_checkpoint_id
+            if prev_id is None:
+                break  # chain root
+            if prev_id in visited:
+                logger.warning(
+                    "DeltaChannel chain cycle at checkpoint %r for channel %r; breaking",
+                    prev_id,
+                    channel,
+                )
+                break
+            visited.add(prev_id)
+
+            # Fast path: saver has a dedicated blob store.
+            blob = checkpointer.get_channel_blob(
+                thread_id, checkpoint_ns, prev_id, channel
+            )
+            if blob is not NotImplemented:
+                if isinstance(blob, DeltaValue):
+                    cursor = blob
+                    continue
+                else:
+                    base = blob  # plain list = snapshot root
+                    break
+
+            # Fallback: load the full checkpoint and extract channel value.
+            parent_config: RunnableConfig = {
+                "configurable": {
+                    "thread_id": thread_id,
+                    "checkpoint_ns": checkpoint_ns,
+                    "checkpoint_id": prev_id,
+                }
+            }
+            parent_tuple = checkpointer.get_tuple(parent_config)
+            if parent_tuple is None:
+                logger.warning(
+                    "DeltaChannel chain broken: checkpoint %r not found for channel %r",
+                    prev_id,
+                    channel,
+                )
+                break
+            prev_val = parent_tuple.checkpoint["channel_values"].get(
+                channel, _MISSING_SENTINEL
+            )
+            if prev_val is _MISSING_SENTINEL:
+                break
+            elif isinstance(prev_val, DeltaValue):
+                cursor = prev_val
+            else:
+                base = prev_val
+                break
+
+        chain_deltas.reverse()
+        assembled[channel] = DeltaChainValue(base=base, deltas=chain_deltas)
+
+    return assembled
+
+
+async def _aassemble_delta_channels(
+    checkpoint: Checkpoint,
+    config: RunnableConfig,
+    checkpointer: BaseCheckpointSaver,
+) -> dict[str, Any]:
+    """Async version of _assemble_delta_channels."""
+    thread_id = str(config["configurable"]["thread_id"])
+    checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
+    current_checkpoint_id = checkpoint.get("id")
+    assembled: dict[str, Any] = {}
+
+    for channel, value in checkpoint["channel_values"].items():
+        if not isinstance(value, DeltaValue):
+            continue
+
+        chain_deltas: list[list[Any]] = []
+        base: list[Any] | None = None
+        cursor: DeltaValue = value
+        visited: set[str] = {current_checkpoint_id} if current_checkpoint_id else set()
+
+        while True:
+            chain_deltas.append(cursor.delta)
+            prev_id = cursor.prev_checkpoint_id
+            if prev_id is None:
+                break
+            if prev_id in visited:
+                logger.warning(
+                    "DeltaChannel chain cycle at checkpoint %r for channel %r; breaking",
+                    prev_id,
+                    channel,
+                )
+                break
+            visited.add(prev_id)
+
+            blob = await checkpointer.aget_channel_blob(
+                thread_id, checkpoint_ns, prev_id, channel
+            )
+            if blob is not NotImplemented:
+                if isinstance(blob, DeltaValue):
+                    cursor = blob
+                    continue
+                else:
+                    base = blob
+                    break
+
+            parent_config: RunnableConfig = {
+                "configurable": {
+                    "thread_id": thread_id,
+                    "checkpoint_ns": checkpoint_ns,
+                    "checkpoint_id": prev_id,
+                }
+            }
+            parent_tuple = await checkpointer.aget_tuple(parent_config)
+            if parent_tuple is None:
+                logger.warning(
+                    "DeltaChannel chain broken: checkpoint %r not found for channel %r",
+                    prev_id,
+                    channel,
+                )
+                break
+            prev_val = parent_tuple.checkpoint["channel_values"].get(
+                channel, _MISSING_SENTINEL
+            )
+            if prev_val is _MISSING_SENTINEL:
+                break
+            elif isinstance(prev_val, DeltaValue):
+                cursor = prev_val
+            else:
+                base = prev_val
+                break
+
+        chain_deltas.reverse()
+        assembled[channel] = DeltaChainValue(base=base, deltas=chain_deltas)
+
+    return assembled
+
 
 def empty_checkpoint() -> Checkpoint:
     return Checkpoint(
@@ -67,13 +240,12 @@ def channels_from_checkpoint(
             channel_specs[k] = v
         else:
             managed_specs[k] = v
-    return (
-        {
-            k: v.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
-            for k, v in channel_specs.items()
-        },
-        managed_specs,
-    )
+    channels: dict[str, BaseChannel] = {}
+    for k, v in channel_specs.items():
+        ch = v.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
+        ch.after_checkpoint(checkpoint["channel_versions"].get(k), checkpoint.get("id"))
+        channels[k] = ch
+    return channels, managed_specs
 
 
 def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:

libs/langgraph/langgraph/pregel/_loop.py

@@ -62,6 +62,11 @@ from langgraph._internal._constants import (
 from langgraph._internal._replay import ReplayState
 from langgraph._internal._scratchpad import PregelScratchpad
 from langgraph._internal._typing import EMPTY_SEQ, MISSING
+from langgraph.callbacks import (
+    GraphInterruptEvent,
+    GraphLifecycleEvent,
+    GraphResumeEvent,
+)
 from langgraph.channels.base import BaseChannel
 from langgraph.channels.untracked_value import UntrackedValue
 from langgraph.constants import TAG_HIDDEN
@@ -87,6 +92,8 @@ from langgraph.pregel._algo import (
     task_path_str,
 )
 from langgraph.pregel._checkpoint import (
+    _aassemble_delta_channels,
+    _assemble_delta_channels,
     channels_from_checkpoint,
     copy_checkpoint,
     create_checkpoint,
@@ -117,6 +124,7 @@ from langgraph.types import (
     CachePolicy,
     Command,
     Durability,
+    Interrupt,
     PregelExecutableTask,
     RetryPolicy,
     Send,
@@ -203,6 +211,8 @@ class PregelLoop:
     tasks: dict[str, PregelExecutableTask]
     output: None | dict[str, Any] | Any = None
     updated_channels: set[str] | None = None
+    _graph_lifecycle_events: deque[GraphLifecycleEvent]
+    _has_graph_lifecycle_callbacks: bool
 
     # public
 
@@ -228,6 +238,7 @@ class PregelLoop:
         migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
         retry_policy: Sequence[RetryPolicy] = (),
         cache_policy: CachePolicy | None = None,
+        has_graph_lifecycle_callbacks: bool = False,
     ) -> None:
         self.stream = stream
         self.config = config
@@ -252,6 +263,8 @@ class PregelLoop:
         self.retry_policy = retry_policy
         self.cache_policy = cache_policy
         self.durability = durability
+        self._has_graph_lifecycle_callbacks = has_graph_lifecycle_callbacks
+        self._graph_lifecycle_events = deque()
         if self.stream is not None and CONFIG_KEY_STREAM in config[CONF]:
             self.stream = DuplexStream(self.stream, config[CONF][CONFIG_KEY_STREAM])
         scratchpad: PregelScratchpad | None = config[CONF].get(CONFIG_KEY_SCRATCHPAD)
@@ -303,6 +316,40 @@ class PregelLoop:
         )
         self.prev_checkpoint_config = None
 
+    def _push_graph_lifecycle_event(
+        self,
+        kind: Literal["resume", "interrupt"],
+        *,
+        interrupts: tuple[Interrupt, ...] = (),
+    ) -> None:
+        if kind == "resume":
+            self._graph_lifecycle_events.append(
+                GraphResumeEvent(
+                    run_id=None,
+                    status=self.status,
+                    checkpoint_id=self.checkpoint["id"],
+                    checkpoint_ns=self.checkpoint_ns,
+                )
+            )
+        elif kind == "interrupt":
+            self._graph_lifecycle_events.append(
+                GraphInterruptEvent(
+                    run_id=None,
+                    status=self.status,
+                    checkpoint_id=self.checkpoint["id"],
+                    checkpoint_ns=self.checkpoint_ns,
+                    interrupts=interrupts,
+                )
+            )
+        else:
+            msg = f"Unknown graph lifecycle event type: {kind}"
+            raise AssertionError(msg)
+
+    def _pop_lifecycle_event(self) -> GraphLifecycleEvent | None:
+        if not self._graph_lifecycle_events:
+            return None
+        return self._graph_lifecycle_events.popleft()
+
     def put_writes(self, task_id: str, writes: WritesT) -> None:
         """Put writes for a task, to be read by the next tick."""
         if not writes:
@@ -647,7 +694,7 @@ class PregelLoop:
         # writes so that interrupt() calls re-fire instead of returning
         # stale values. But if we're actively resuming, keep them —
         # multi-interrupt scenarios need previously resolved values preserved.
-        if self.is_replaying and (
+        is_time_traveling = self.is_replaying and (
             # Time-travel to a subgraph checkpoint: the parent sets
             # RESUMING=True (it can't distinguish time-travel from resume),
             # so we check if this subgraph's own ns is in checkpoint_map.
@@ -665,7 +712,8 @@ class PregelLoop:
                 # (subgraph input is a Send arg, not a Command)
                 or configurable.get(CONFIG_KEY_RESUMING, False)
             )
-        ):
+        )
+        if is_time_traveling:
             self.checkpoint_pending_writes = [
                 w for w in self.checkpoint_pending_writes if w[1] != RESUME
             ]
@@ -720,6 +768,26 @@ class PregelLoop:
                 if k in self.checkpoint["channel_versions"]:
                     version = self.checkpoint["channel_versions"][k]
                     self.checkpoint["versions_seen"][INTERRUPT][k] = version
+            # When time-traveling (replaying from a specific checkpoint),
+            # save a fork checkpoint so the replayed execution creates a
+            # new branch. Without this, if the execution hits an interrupt
+            # before after_tick() runs, no new checkpoint is created —
+            # the parent's latest checkpoint remains the old one and
+            # subsequent resumes load the wrong state.
+            # Skip for update_state forks (source=update/fork) since they
+            # already have their own fork checkpoint.
+            if is_time_traveling and self.checkpoint_metadata.get("source") not in (
+                "update",
+                "fork",
+            ):
+                # Clear old INTERRUPT writes from the loaded checkpoint.
+                # The fork will have a new checkpoint_id which changes
+                # task IDs — stale interrupt writes would accumulate and
+                # confuse the multiple-interrupt check in future resumes.
+                self.checkpoint_pending_writes = [
+                    w for w in self.checkpoint_pending_writes if w[1] != INTERRUPT
+                ]
+                self._put_checkpoint({"source": "fork"})
             # produce values output
             self._emit(
                 "values", map_output_values, self.output_keys, True, self.channels
@@ -762,14 +830,18 @@ class PregelLoop:
         if not self.is_nested:
             # Pass the resolved before-bound checkpoint ID so subgraphs can
             # find their corresponding checkpoint without re-fetching the
-            # parent. For forks (source=update), use the fork's parent
+            # parent. For forks (source=update/fork), use the fork's parent
             # checkpoint ID since the fork was created after the subgraph's
             # checkpoints from the original execution.
             replay_state: ReplayState | None = None
             if self.is_replaying:
                 replay_checkpoint_id = self.checkpoint["id"]
                 if (
-                    self.checkpoint_metadata.get("source") == "update"
+                    self.checkpoint_metadata.get("source")
+                    in (
+                        "update",
+                        "fork",
+                    )
                     and self.prev_checkpoint_config
                 ):
                     replay_checkpoint_id = self.prev_checkpoint_config[CONF].get(
@@ -785,6 +857,8 @@ class PregelLoop:
             )
         # set flag
         self.status = "pending"
+        if is_resuming:
+            self._push_graph_lifecycle_event("resume")
         return updated_channels
 
     def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
@@ -809,6 +883,12 @@ class PregelLoop:
             id=self.checkpoint["id"] if exiting else None,
             updated_channels=self.updated_channels,
         )
+        if do_checkpoint and self.channels:
+            for k, ch in self.channels.items():
+                ch.after_checkpoint(
+                    self.checkpoint["channel_versions"].get(k),
+                    self.checkpoint.get("id"),
+                )
         # sanitize TASK channel in the checkpoint before saving (durability=="exit")
         if TASKS in self.checkpoint["channel_values"] and any(
             isinstance(channel, UntrackedValue) for channel in self.channels.values()
@@ -885,8 +965,10 @@ class PregelLoop:
             self._put_checkpoint(self.checkpoint_metadata)
             self._put_pending_writes()
         # suppress interrupt
-        suppress = isinstance(exc_value, GraphInterrupt) and not self.is_nested
-        if suppress:
+        if isinstance(exc_value, GraphInterrupt) and not self.is_nested:
+            interrupt = exc_value
+            interrupts = tuple(interrupt.args[0]) if interrupt.args else ()
+            self._push_graph_lifecycle_event("interrupt", interrupts=interrupts)
             # emit one last "values" event, with pending writes applied
             if (
                 hasattr(self, "tasks")
@@ -913,12 +995,11 @@ class PregelLoop:
                         self.channels,
                     )
             # emit INTERRUPT if exception is empty (otherwise emitted by put_writes)
-            if exc_value is not None and (not exc_value.args or not exc_value.args[0]):
+            if not interrupt.args or not interrupt.args[0]:
+                interrupt_payload = interrupt.args[0] if interrupt.args else ()
                 self._emit(
                     "updates",
-                    lambda: iter(
-                        [{INTERRUPT: cast(GraphInterrupt, exc_value).args[0]}]
-                    ),
+                    lambda: iter([{INTERRUPT: interrupt_payload}]),
                 )
             # save final output
             self.output = read_channels(self.channels, self.output_keys)
@@ -1040,6 +1121,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
         migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
         retry_policy: Sequence[RetryPolicy] = (),
         cache_policy: CachePolicy | None = None,
+        has_graph_lifecycle_callbacks: bool = False,
     ) -> None:
         super().__init__(
             input,
@@ -1061,6 +1143,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
             retry_policy=retry_policy,
             cache_policy=cache_policy,
             durability=durability,
+            has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
         )
         self.stack = ExitStack()
         if checkpointer:
@@ -1136,6 +1219,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
     # context manager
 
     def __enter__(self) -> Self:
+        self._graph_lifecycle_events = deque()
         if not self.checkpointer:
             saved = None
         elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
@@ -1186,6 +1270,19 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
             else []
         )
         self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
+        # Assemble any DeltaChannel chains before constructing channel objects.
+        if self.checkpointer is not None:
+            assembled = _assemble_delta_channels(
+                self.checkpoint, self.checkpoint_config, self.checkpointer
+            )
+            if assembled:
+                self.checkpoint = {
+                    **self.checkpoint,
+                    "channel_values": {
+                        **self.checkpoint["channel_values"],
+                        **assembled,
+                    },
+                }
         self.channels, self.managed = channels_from_checkpoint(
             self.specs, self.checkpoint
         )
@@ -1236,6 +1333,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
         migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
         retry_policy: Sequence[RetryPolicy] = (),
         cache_policy: CachePolicy | None = None,
+        has_graph_lifecycle_callbacks: bool = False,
     ) -> None:
         super().__init__(
             input,
@@ -1257,6 +1355,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
             retry_policy=retry_policy,
             cache_policy=cache_policy,
             durability=durability,
+            has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
         )
         self.stack = AsyncExitStack()
         if checkpointer:
@@ -1335,6 +1434,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
     # context manager
 
     async def __aenter__(self) -> Self:
+        self._graph_lifecycle_events = deque()
         if not self.checkpointer:
             saved = None
         elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
@@ -1387,6 +1487,18 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
         self.submit = await self.stack.enter_async_context(
             AsyncBackgroundExecutor(self.config)
         )
+        if self.checkpointer is not None:
+            assembled = await _aassemble_delta_channels(
+                self.checkpoint, self.checkpoint_config, self.checkpointer
+            )
+            if assembled:
+                self.checkpoint = {
+                    **self.checkpoint,
+                    "channel_values": {
+                        **self.checkpoint["channel_values"],
+                        **assembled,
+                    },
+                }
         self.channels, self.managed = channels_from_checkpoint(
             self.specs, self.checkpoint
         )

libs/langgraph/langgraph/pregel/_messages.py

@@ -14,7 +14,7 @@ from langchain_core.messages import BaseMessage
 from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
 from pydantic import BaseModel
 
-from langgraph._internal._constants import NS_SEP
+from langgraph._internal._constants import NS_END, NS_SEP
 from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
 from langgraph.pregel.protocol import StreamChunk
 from langgraph.types import Command
@@ -132,15 +132,23 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
         **kwargs: Any,
     ) -> Any:
         if metadata and (not tags or (TAG_NOSTREAM not in tags)):
-            ns = tuple(cast(str, metadata["langgraph_checkpoint_ns"]).split(NS_SEP))[
-                :-1
-            ]
+            task_checkpoint_ns = cast(str, metadata["langgraph_checkpoint_ns"])
+            checkpoint_ns = (
+                f"{task_checkpoint_ns.rsplit(NS_END, 1)[0]}{NS_END}"
+                if NS_END in task_checkpoint_ns
+                else task_checkpoint_ns
+            )
+            ns = tuple(task_checkpoint_ns.split(NS_SEP))[:-1]
             if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
                 return
+            stream_metadata = dict(metadata)
+            stream_metadata["langgraph_checkpoint_ns"] = checkpoint_ns
+            # Preserve backwards-compatible streamed checkpoint metadata shape.
+            stream_metadata["checkpoint_ns"] = checkpoint_ns
             if tags:
                 if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:
-                    metadata["tags"] = filtered_tags
-            self.metadata[run_id] = (ns, metadata)
+                    stream_metadata["tags"] = filtered_tags
+            self.metadata[run_id] = (ns, stream_metadata)
 
     def on_llm_new_token(
         self,

libs/langgraph/langgraph/pregel/_retry.py

@@ -9,22 +9,51 @@ from collections.abc import Awaitable, Callable, Sequence
 from dataclasses import replace
 from typing import Any
 
+from langchain_core.runnables import RunnableConfig
+
 from langgraph._internal._config import patch_configurable, recast_checkpoint_ns
 from langgraph._internal._constants import (
     CONF,
+    CONFIG_KEY_CHECKPOINT_ID,
     CONFIG_KEY_CHECKPOINT_NS,
     CONFIG_KEY_RESUMING,
     CONFIG_KEY_RUNTIME,
+    CONFIG_KEY_TASK_ID,
+    CONFIG_KEY_THREAD_ID,
     NS_SEP,
 )
 from langgraph.errors import GraphBubbleUp, ParentCommand
-from langgraph.runtime import Runtime
+from langgraph.runtime import ExecutionInfo, Runtime
 from langgraph.types import Command, PregelExecutableTask, RetryPolicy
 
 logger = logging.getLogger(__name__)
 SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)
 
 
+def _ensure_execution_info(
+    runtime: Runtime, config: RunnableConfig, task: PregelExecutableTask
+) -> Runtime:
+    """Ensure runtime has execution_info, creating one from config if needed.
+
+    In the distributed runtime (LangGraph Platform), tasks are prepared by the
+    server and deserialized in the executor, bypassing the OSS _algo.py code
+    that normally creates ExecutionInfo. This function fills in execution_info
+    from the task config when it's missing.
+    """
+    if runtime.execution_info is not None:
+        return runtime
+    configurable = config.get(CONF, {})
+    return runtime.override(
+        execution_info=ExecutionInfo(
+            checkpoint_id=configurable.get(CONFIG_KEY_CHECKPOINT_ID) or "",
+            checkpoint_ns=configurable.get(CONFIG_KEY_CHECKPOINT_NS) or "",
+            task_id=configurable.get(CONFIG_KEY_TASK_ID) or task.id,
+            thread_id=configurable.get(CONFIG_KEY_THREAD_ID),
+            run_id=str(rid) if (rid := config.get("run_id")) else None,
+        ),
+    )
+
+
 def _checkpoint_ns_for_parent_command(ns: str) -> str:
     """Return the checkpoint namespace for the parent graph.
 
@@ -68,6 +97,7 @@ def run_with_retry(
         config = patch_configurable(config, configurable)
     runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
     if isinstance(runtime, Runtime):
+        runtime = _ensure_execution_info(runtime, config, task)
         config = patch_configurable(
             config,
             {
@@ -172,6 +202,7 @@ async def arun_with_retry(
         config = patch_configurable(config, configurable)
     runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
     if isinstance(runtime, Runtime):
+        runtime = _ensure_execution_info(runtime, config, task)
         config = patch_configurable(
             config,
             {

libs/langgraph/langgraph/pregel/main.py

@@ -16,7 +16,7 @@ from collections.abc import (
     Mapping,
     Sequence,
 )
-from dataclasses import is_dataclass
+from dataclasses import is_dataclass, replace
 from functools import partial
 from inspect import isclass
 from typing import (
@@ -96,6 +96,12 @@ from langgraph._internal._runnable import (
     coerce_to_runnable,
 )
 from langgraph._internal._typing import MISSING, DeprecatedKwargs
+from langgraph.callbacks import (
+    GraphInterruptEvent,
+    GraphResumeEvent,
+    get_async_graph_callback_manager_for_config,
+    get_sync_graph_callback_manager_for_config,
+)
 from langgraph.channels.base import BaseChannel
 from langgraph.channels.topic import Topic
 from langgraph.config import get_config
@@ -116,6 +122,8 @@ from langgraph.pregel._algo import (
 )
 from langgraph.pregel._call import identifier
 from langgraph.pregel._checkpoint import (
+    _aassemble_delta_channels,
+    _assemble_delta_channels,
     channels_from_checkpoint,
     copy_checkpoint,
     create_checkpoint,
@@ -136,7 +144,12 @@ from langgraph.pregel._validate import validate_graph, validate_keys
 from langgraph.pregel._write import ChannelWrite, ChannelWriteEntry
 from langgraph.pregel.debug import get_bolded_text, get_colored_text, tasks_w_writes
 from langgraph.pregel.protocol import PregelProtocol, StreamChunk, StreamProtocol
-from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
+from langgraph.runtime import (
+    DEFAULT_RUNTIME,
+    BaseUser,
+    Runtime,
+    ServerInfo,
+)
 from langgraph.types import (
     All,
     CachePolicy,
@@ -1038,13 +1051,23 @@ class Pregel(
 
         step = saved.metadata.get("step", -1) + 1
         stop = step + 2
+        checkpoint = saved.checkpoint
+        if isinstance(self.checkpointer, BaseCheckpointSaver):
+            assembled = _assemble_delta_channels(
+                checkpoint, saved.config, self.checkpointer
+            )
+            if assembled:
+                checkpoint = {
+                    **checkpoint,
+                    "channel_values": {**checkpoint["channel_values"], **assembled},
+                }
         channels, managed = channels_from_checkpoint(
             self.channels,
-            saved.checkpoint,
+            checkpoint,
         )
         # tasks for this checkpoint
         next_tasks = prepare_next_tasks(
-            saved.checkpoint,
+            checkpoint,
             saved.pending_writes or [],
             self.nodes,
             channels,
@@ -1157,13 +1180,23 @@ class Pregel(
 
         step = saved.metadata.get("step", -1) + 1
         stop = step + 2
+        checkpoint = saved.checkpoint
+        if isinstance(self.checkpointer, BaseCheckpointSaver):
+            assembled = await _aassemble_delta_channels(
+                checkpoint, saved.config, self.checkpointer
+            )
+            if assembled:
+                checkpoint = {
+                    **checkpoint,
+                    "channel_values": {**checkpoint["channel_values"], **assembled},
+                }
         channels, managed = channels_from_checkpoint(
             self.channels,
-            saved.checkpoint,
+            checkpoint,
         )
         # tasks for this checkpoint
         next_tasks = prepare_next_tasks(
-            saved.checkpoint,
+            checkpoint,
             saved.pending_writes or [],
             self.nodes,
             channels,
@@ -1509,9 +1542,20 @@ class Pregel(
             saved = checkpointer.get_tuple(config)
             if saved is not None:
                 self._migrate_checkpoint(saved.checkpoint)
-            checkpoint = (
-                copy_checkpoint(saved.checkpoint) if saved else empty_checkpoint()
-            )
+            base_checkpoint = saved.checkpoint if saved else empty_checkpoint()
+            if saved:
+                assembled = _assemble_delta_channels(
+                    base_checkpoint, saved.config, checkpointer
+                )
+                if assembled:
+                    base_checkpoint = {
+                        **base_checkpoint,
+                        "channel_values": {
+                            **base_checkpoint["channel_values"],
+                            **assembled,
+                        },
+                    }
+            checkpoint = copy_checkpoint(base_checkpoint) if saved else base_checkpoint
             checkpoint_previous_versions = (
                 saved.checkpoint["channel_versions"].copy() if saved else {}
             )
@@ -1955,9 +1999,20 @@ class Pregel(
             saved = await checkpointer.aget_tuple(config)
             if saved is not None:
                 self._migrate_checkpoint(saved.checkpoint)
-            checkpoint = (
-                copy_checkpoint(saved.checkpoint) if saved else empty_checkpoint()
-            )
+            base_checkpoint = saved.checkpoint if saved else empty_checkpoint()
+            if saved:
+                assembled = await _aassemble_delta_channels(
+                    base_checkpoint, saved.config, checkpointer
+                )
+                if assembled:
+                    base_checkpoint = {
+                        **base_checkpoint,
+                        "channel_values": {
+                            **base_checkpoint["channel_values"],
+                            **assembled,
+                        },
+                    }
+            checkpoint = copy_checkpoint(base_checkpoint) if saved else base_checkpoint
             checkpoint_previous_versions = (
                 saved.checkpoint["channel_versions"].copy() if saved else {}
             )
@@ -2580,6 +2635,10 @@ class Pregel(
             name=config.get("run_name", self.get_name()),
             run_id=config.get("run_id"),
         )
+        graph_callback_manager = get_sync_graph_callback_manager_for_config(
+            config,
+            run_id=run_manager.run_id,
+        )
         try:
             # assign defaults
             (
@@ -2645,14 +2704,18 @@ class Pregel(
             if durability is not None:
                 config[CONF][CONFIG_KEY_DURABILITY] = durability_
 
+            # build server_info from metadata + parent runtime
+            parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
+            server_info = _build_server_info(config, parent_runtime)
+
             runtime = Runtime(
                 context=_coerce_context(self.context_schema, context),
                 store=store,
                 stream_writer=stream_writer,
                 previous=None,
-                execution_info=ExecutionInfo(),
+                execution_info=None,
+                server_info=server_info,
             )
-            parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
             runtime = parent_runtime.merge(runtime)
             config[CONF][CONFIG_KEY_RUNTIME] = runtime
 
@@ -2660,6 +2723,17 @@ class Pregel(
             _output_mapper = self._output_mapper if version == "v2" else None
             _state_mapper = self._state_mapper if version == "v2" else None
 
+            def emit_graph_lifecycle_events(loop: SyncPregelLoop) -> None:
+                while (event := loop._pop_lifecycle_event()) is not None:
+                    if isinstance(event, GraphResumeEvent):
+                        graph_callback_manager.on_resume(
+                            replace(event, run_id=graph_callback_manager.run_id)
+                        )
+                    else:
+                        graph_callback_manager.on_interrupt(
+                            replace(event, run_id=graph_callback_manager.run_id)
+                        )
+
             with SyncPregelLoop(
                 input,
                 stream=StreamProtocol(stream.put, stream_modes),
@@ -2680,7 +2754,9 @@ class Pregel(
                 migrate_checkpoint=self._migrate_checkpoint,
                 retry_policy=self.retry_policy,
                 cache_policy=self.cache_policy,
+                has_graph_lifecycle_callbacks=bool(graph_callback_manager.handlers),
             ) as loop:
+                emit_graph_lifecycle_events(loop)
                 # create runner
                 runner = PregelRunner(
                     submit=config[CONF].get(
@@ -2742,9 +2818,11 @@ class Pregel(
                             _state_mapper,
                         )
                     loop.after_tick()
+                    emit_graph_lifecycle_events(loop)
                     # wait for checkpoint
                     if durability_ == "sync":
                         loop._put_checkpoint_fut.result()
+            emit_graph_lifecycle_events(loop)
             # emit output
             yield from _output(
                 stream_mode,
@@ -2919,6 +2997,10 @@ class Pregel(
             name=config.get("run_name", self.get_name()),
             run_id=config.get("run_id"),
         )
+        graph_callback_manager = get_async_graph_callback_manager_for_config(
+            config,
+            run_id=run_manager.run_id,
+        )
         # if running from astream_log() run each proc with streaming
         do_stream = (
             next(
@@ -3014,14 +3096,18 @@ class Pregel(
             if durability is not None:
                 config[CONF][CONFIG_KEY_DURABILITY] = durability_
 
+            # build server_info from metadata + parent runtime
+            parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
+            server_info = _build_server_info(config, parent_runtime)
+
             runtime = Runtime(
                 context=_coerce_context(self.context_schema, context),
                 store=store,
                 stream_writer=stream_writer,
                 previous=None,
-                execution_info=ExecutionInfo(),
+                execution_info=None,
+                server_info=server_info,
             )
-            parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
             runtime = parent_runtime.merge(runtime)
             config[CONF][CONFIG_KEY_RUNTIME] = runtime
 
@@ -3029,6 +3115,28 @@ class Pregel(
             _output_mapper = self._output_mapper if version == "v2" else None
             _state_mapper = self._state_mapper if version == "v2" else None
 
+            async def aemit_graph_lifecycle_events(loop: AsyncPregelLoop) -> None:
+                while (event := loop._pop_lifecycle_event()) is not None:
+                    if isinstance(event, GraphResumeEvent):
+                        await graph_callback_manager.on_resume(
+                            GraphResumeEvent(
+                                run_id=graph_callback_manager.run_id,
+                                status=event.status,
+                                checkpoint_id=event.checkpoint_id,
+                                checkpoint_ns=event.checkpoint_ns,
+                            )
+                        )
+                    else:
+                        await graph_callback_manager.on_interrupt(
+                            GraphInterruptEvent(
+                                run_id=graph_callback_manager.run_id,
+                                status=event.status,
+                                checkpoint_id=event.checkpoint_id,
+                                checkpoint_ns=event.checkpoint_ns,
+                                interrupts=event.interrupts,
+                            )
+                        )
+
             async with AsyncPregelLoop(
                 input,
                 stream=StreamProtocol(stream.put_nowait, stream_modes),
@@ -3049,7 +3157,9 @@ class Pregel(
                 migrate_checkpoint=self._migrate_checkpoint,
                 retry_policy=self.retry_policy,
                 cache_policy=self.cache_policy,
+                has_graph_lifecycle_callbacks=bool(graph_callback_manager.handlers),
             ) as loop:
+                await aemit_graph_lifecycle_events(loop)
                 # create runner
                 runner = PregelRunner(
                     submit=config[CONF].get(
@@ -3131,6 +3241,7 @@ class Pregel(
                             ):
                                 yield o
                         loop.after_tick()
+                        await aemit_graph_lifecycle_events(loop)
                         # wait for checkpoint
                         if durability_ == "sync":
                             await cast(asyncio.Future, loop._put_checkpoint_fut)
@@ -3139,6 +3250,8 @@ class Pregel(
                     if _cleanup_waiter is not None:
                         await _cleanup_waiter()
 
+            await aemit_graph_lifecycle_events(loop)
+
             # emit output
             for o in _output(
                 stream_mode,
@@ -3643,6 +3756,37 @@ def _coerce_checkpoint_values(payload: Any, mapper: Callable[[Any], Any]) -> Non
         payload["values"] = mapper(payload["values"])
 
 
+def _build_server_info(
+    config: RunnableConfig, parent_runtime: Runtime[Any]
+) -> ServerInfo | None:
+    """Build ServerInfo from config configurable.
+
+    The server puts assistant_id/graph_id in config configurable and the
+    authenticated user dict in configurable["langgraph_auth_user"].
+    """
+    configurable = config.get(CONF) or {}
+    assistant_id = configurable.get("assistant_id")
+    graph_id = configurable.get("graph_id")
+
+    # Read authenticated user from configurable (set by LangGraph Server).
+    # We prefer isinstance(BaseUser) but fall back to hasattr("identity")
+    # because the server's ProxyUser provides `permissions` via __getattr__,
+    # which Python's runtime_checkable Protocol check doesn't see.
+    auth_user_data = configurable.get("langgraph_auth_user")
+    user: BaseUser | None = None
+    if auth_user_data is not None:
+        if isinstance(auth_user_data, BaseUser) or hasattr(auth_user_data, "identity"):
+            user = cast(BaseUser, auth_user_data)
+
+    if assistant_id is not None or graph_id is not None or user is not None:
+        return ServerInfo(
+            assistant_id=str(assistant_id) if assistant_id else "",
+            graph_id=str(graph_id) if graph_id else "",
+            user=user,
+        )
+    return None
+
+
 def _coerce_context(
     context_schema: type[ContextT] | None, context: Any
 ) -> ContextT | None:

libs/langgraph/langgraph/runtime.py

@@ -1,9 +1,10 @@
 from __future__ import annotations
 
 from dataclasses import dataclass, field, replace
-from typing import Any, Generic, NamedTuple, cast
+from typing import Any, Generic, cast
 
 from langgraph.store.base import BaseStore
+from langgraph_sdk.auth.types import BaseUser
 from typing_extensions import TypedDict, Unpack
 
 from langgraph._internal._constants import CONF, CONFIG_KEY_RUNTIME
@@ -11,12 +12,38 @@ from langgraph.config import get_config
 from langgraph.types import _DC_KWARGS, StreamWriter
 from langgraph.typing import ContextT
 
-__all__ = ("ExecutionInfo", "Runtime", "get_runtime")
+__all__ = (
+    "BaseUser",
+    "ExecutionInfo",
+    "Runtime",
+    "ServerInfo",
+    "get_runtime",
+)
 
 
-class ExecutionInfo(NamedTuple):
+@dataclass(frozen=True, slots=True)
+class ExecutionInfo:
     """Read-only execution info/metadata for the execution of current thread/run/node."""
 
+    checkpoint_id: str
+    """The checkpoint ID for the current execution."""
+
+    checkpoint_ns: str
+    """The checkpoint namespace for the current execution."""
+
+    task_id: str
+    """The task ID for the current execution."""
+
+    thread_id: str | None = None
+    """The thread ID for the current execution.
+
+    None when running without a checkpointer (i.e., no persistence)."""
+
+    run_id: str | None = None
+    """The run ID for the current execution.
+
+    None when `run_id` is not provided in the RunnableConfig."""
+
     node_attempt: int = 1
     """Current node execution attempt number (1-indexed)."""
 
@@ -25,7 +52,26 @@ class ExecutionInfo(NamedTuple):
 
     def patch(self, **overrides: Any) -> ExecutionInfo:
         """Return a new execution info object with selected fields replaced."""
-        return self._replace(**overrides)
+        return replace(self, **overrides)
+
+
+@dataclass(frozen=True, slots=True)
+class ServerInfo:
+    """Metadata injected by LangGraph Server. None when running open-source LangGraph without LangSmith deployments."""
+
+    assistant_id: str
+    """The assistant ID for the current execution."""
+
+    graph_id: str
+    """The graph ID for the current execution."""
+
+    user: BaseUser | None = None
+    """The authenticated user, if any.
+
+    This implements the `BaseUser` protocol from `langgraph_sdk.auth.types`,
+    which supports both attribute access (e.g. `user.identity`) and dict-like
+    access (e.g. `user["identity"]`).
+    """
 
 
 def _no_op_stream_writer(_: Any) -> None: ...
@@ -37,6 +83,7 @@ class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
     stream_writer: StreamWriter
     previous: Any
     execution_info: ExecutionInfo
+    server_info: ServerInfo | None
 
 
 @dataclass(**_DC_KWARGS)
@@ -130,8 +177,13 @@ class Runtime(Generic[ContextT]):
     Only available with the functional API when a checkpointer is provided.
     """
 
-    execution_info: ExecutionInfo = field(default_factory=ExecutionInfo)
-    """Read-only execution information/metadata for the current node run."""
+    execution_info: ExecutionInfo | None = field(default=None)
+    """Read-only execution information/metadata for the current node run.
+
+    None before task preparation populates it."""
+
+    server_info: ServerInfo | None = field(default=None)
+    """Metadata injected by LangGraph Server. None when running open-source LangGraph without LangSmith deployments."""
 
     def merge(self, other: Runtime[ContextT]) -> Runtime[ContextT]:
         """Merge two runtimes together.
@@ -145,7 +197,8 @@ class Runtime(Generic[ContextT]):
             if other.stream_writer is not _no_op_stream_writer
             else self.stream_writer,
             previous=self.previous if other.previous is None else other.previous,
-            execution_info=other.execution_info,
+            execution_info=other.execution_info or self.execution_info,
+            server_info=other.server_info or self.server_info,
         )
 
     def override(
@@ -156,6 +209,9 @@ class Runtime(Generic[ContextT]):
 
     def patch_execution_info(self, **overrides: Any) -> Runtime[ContextT]:
         """Return a new runtime with selected execution_info fields replaced."""
+        if self.execution_info is None:
+            msg = "Cannot patch execution_info before it has been set"
+            raise RuntimeError(msg)
         return replace(
             self,
             execution_info=self.execution_info.patch(**overrides),
@@ -167,7 +223,7 @@ DEFAULT_RUNTIME = Runtime(
     store=None,
     stream_writer=_no_op_stream_writer,
     previous=None,
-    execution_info=ExecutionInfo(),
+    execution_info=None,
 )
 
 

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "1.1.4"
+version = "1.1.7a2"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"
@@ -24,10 +24,10 @@ classifiers = [
     'Programming Language :: Python :: 3.13',
 ]
 dependencies = [
-    "langchain-core>=0.1",
+    "langchain-core==1.3.0a2",
     "langgraph-checkpoint>=2.1.0,<5.0.0",
     "langgraph-sdk>=0.3.0,<0.4.0",
-    "langgraph-prebuilt>=1.0.8,<1.1.0",
+    "langgraph-prebuilt>=1.0.9,<1.1.0",
     "xxhash>=3.5.0",
     "pydantic>=2.7.4",
 ]

libs/langgraph/tests/test_channels.py

@@ -117,3 +117,408 @@ def test_untracked_value() -> None:
     new_channel = UntrackedValue(dict).from_checkpoint(checkpoint)
     with pytest.raises(EmptyChannelError):
         new_channel.get()
+
+
+def test_delta_channel_basic_two_steps() -> None:
+    from langchain_core.messages import AIMessage, HumanMessage
+    from langgraph.checkpoint.base import DeltaValue
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    ch = DeltaChannel(add_messages).from_checkpoint(MISSING)
+    ch.after_checkpoint(None)
+
+    # Step 1: one message added
+    ch.update([HumanMessage(content="hi", id="h1")])
+    d1 = ch.checkpoint()
+    assert isinstance(d1, DeltaValue)
+    assert len(d1.delta) == 1
+    assert d1.prev_checkpoint_id is None  # first ever step
+    ch.after_checkpoint("v1", checkpoint_id="cid1")
+
+    # Step 2: another message
+    ch.update([AIMessage(content="hello", id="a1")])
+    d2 = ch.checkpoint()
+    assert d2.prev_checkpoint_id == "cid1"
+    assert len(d2.delta) == 1
+    ch.after_checkpoint("v2")
+
+    # Full accumulated value is preserved in memory
+    assert len(ch.get()) == 2
+    assert ch.get()[0].content == "hi"
+    assert ch.get()[1].content == "hello"
+
+
+def test_delta_channel_after_checkpoint_no_op_when_unchanged() -> None:
+    from langchain_core.messages import HumanMessage
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    ch = DeltaChannel(add_messages).from_checkpoint(MISSING)
+    ch.after_checkpoint(None)
+    ch.update([HumanMessage(content="hi", id="h1")])
+    ch.after_checkpoint("v1")
+
+    # Same version: no-op
+    ch.after_checkpoint("v1")
+    assert ch._base_version == "v1"
+    assert ch._pending == []
+
+
+def test_delta_channel_from_checkpoint_chain() -> None:
+    from langchain_core.messages import AIMessage, HumanMessage
+    from langgraph.checkpoint.base import DeltaChainValue
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    spec = DeltaChannel(add_messages)
+    chain = DeltaChainValue(
+        base=None,
+        deltas=[
+            [HumanMessage(content="hi", id="h1")],
+            [AIMessage(content="hello", id="a1")],
+            [HumanMessage(content="bye", id="h2")],
+        ],
+    )
+    ch = spec.from_checkpoint(chain)
+    msgs = ch.get()
+    assert len(msgs) == 3
+    assert msgs[0].content == "hi"
+    assert msgs[1].content == "hello"
+    assert msgs[2].content == "bye"
+
+
+def test_delta_channel_from_checkpoint_backwards_compat() -> None:
+    from langchain_core.messages import HumanMessage
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    # Old BinaryOperatorAggregate checkpoint: plain list
+    spec = DeltaChannel(add_messages)
+    old_value = [HumanMessage(content="old", id="h1")]
+    ch = spec.from_checkpoint(old_value)
+    assert ch.get() == old_value
+
+
+def test_delta_channel_overwrite_resets_chain() -> None:
+    from langchain_core.messages import HumanMessage
+    from langgraph.checkpoint.base import DeltaValue
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+    from langgraph.types import Overwrite
+
+    ch = DeltaChannel(add_messages).from_checkpoint(MISSING)
+    ch.after_checkpoint(None)
+    ch.update([HumanMessage(content="old", id="h1")])
+    ch.after_checkpoint("v1")
+
+    # Overwrite should create a root blob (prev_checkpoint_id=None)
+    ch.update([Overwrite([HumanMessage(content="new", id="h2")])])
+    d = ch.checkpoint()
+    assert isinstance(d, DeltaValue)
+    assert d.prev_checkpoint_id is None  # chain root
+    assert len(d.delta) == 1
+    assert d.delta[0].content == "new"
+
+
+def test_delta_channel_assembly_fallback_via_get_tuple() -> None:
+    """Assembly falls back to get_tuple for savers without get_channel_blob."""
+    from unittest.mock import MagicMock
+
+    from langgraph.checkpoint.base import (
+        CheckpointTuple,
+        DeltaChainValue,
+        DeltaValue,
+        empty_checkpoint,
+    )
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+    from langgraph.pregel._checkpoint import _assemble_delta_channels
+
+    msg1 = {"type": "human", "content": "hello"}
+    msg2 = {"type": "ai", "content": "world"}
+
+    cp1 = empty_checkpoint()
+    cp1["id"] = "cp1"
+    cp1["channel_values"]["messages"] = [msg1]
+
+    cp2 = empty_checkpoint()
+    cp2["id"] = "cp2"
+    cp2["channel_values"]["messages"] = DeltaValue(
+        delta=[msg2], prev_checkpoint_id="cp1"
+    )
+
+    saver = MagicMock()
+    saver.get_channel_blob.return_value = NotImplemented
+    saver.get_tuple.return_value = CheckpointTuple(
+        config={
+            "configurable": {
+                "thread_id": "t1",
+                "checkpoint_ns": "",
+                "checkpoint_id": "cp1",
+            }
+        },
+        checkpoint=cp1,
+        metadata={},
+        parent_config=None,
+        pending_writes=[],
+    )
+
+    config = {"configurable": {"thread_id": "t1", "checkpoint_ns": ""}}
+    assembled = _assemble_delta_channels(cp2, config, saver)
+
+    assert "messages" in assembled
+    chain = assembled["messages"]
+    assert isinstance(chain, DeltaChainValue)
+    assert chain.base == [msg1]
+    assert chain.deltas == [[msg2]]
+
+    from langchain_core.messages import AIMessage, HumanMessage
+
+    spec = DeltaChannel(add_messages)
+    ch = spec.from_checkpoint(chain)
+    result = ch.get()
+    assert len(result) == 2
+    assert isinstance(result[0], HumanMessage) and result[0].content == "hello"
+    assert isinstance(result[1], AIMessage) and result[1].content == "world"
+
+
+def test_delta_channel_remove_message_delta_and_replay() -> None:
+    """RemoveMessage stored in a delta must round-trip correctly through the chain."""
+    from langchain_core.messages import AIMessage, HumanMessage, RemoveMessage
+    from langgraph.checkpoint.base import DeltaChainValue, DeltaValue
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    spec = DeltaChannel(add_messages)
+    ch = spec.from_checkpoint(MISSING)
+    ch.after_checkpoint(None)
+
+    # Step 1: add two messages
+    ch.update([HumanMessage(content="hi", id="h1")])
+    ch.update([AIMessage(content="hello", id="a1")])
+    d1 = ch.checkpoint()
+    assert isinstance(d1, DeltaValue)
+    ch.after_checkpoint("v1", checkpoint_id="cid1")
+    assert ch.get() == [
+        HumanMessage(content="hi", id="h1"),
+        AIMessage(content="hello", id="a1"),
+    ]
+
+    # Step 2: remove the AI message
+    ch.update([RemoveMessage(id="a1")])
+    d2 = ch.checkpoint()
+    assert isinstance(d2, DeltaValue)
+    assert d2.prev_checkpoint_id == "cid1"
+    assert any(isinstance(w, RemoveMessage) for w in d2.delta)
+    ch.after_checkpoint("v2", checkpoint_id="cid2")
+    assert ch.get() == [HumanMessage(content="hi", id="h1")]
+
+    # Replay the full chain from scratch — must reproduce the post-remove state
+    chain = DeltaChainValue(base=None, deltas=[d1.delta, d2.delta])
+    ch2 = spec.from_checkpoint(chain)
+    assert ch2.get() == [HumanMessage(content="hi", id="h1")]
+
+
+def test_delta_channel_update_by_id_delta_and_replay() -> None:
+    """Updating a message by ID stored in a delta must round-trip correctly."""
+    from langchain_core.messages import HumanMessage
+    from langgraph.checkpoint.base import DeltaChainValue, DeltaValue
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    spec = DeltaChannel(add_messages)
+    ch = spec.from_checkpoint(MISSING)
+    ch.after_checkpoint(None)
+
+    # Step 1: add a message
+    ch.update([HumanMessage(content="original", id="h1")])
+    d1 = ch.checkpoint()
+    assert isinstance(d1, DeltaValue)
+    ch.after_checkpoint("v1", checkpoint_id="cid1")
+
+    # Step 2: update the same message by ID
+    ch.update([HumanMessage(content="updated", id="h1")])
+    d2 = ch.checkpoint()
+    assert isinstance(d2, DeltaValue)
+    assert d2.prev_checkpoint_id == "cid1"
+    ch.after_checkpoint("v2", checkpoint_id="cid2")
+    assert ch.get() == [HumanMessage(content="updated", id="h1")]
+
+    # Replay the full chain — must produce the updated message, not the original
+    chain = DeltaChainValue(base=None, deltas=[d1.delta, d2.delta])
+    ch2 = spec.from_checkpoint(chain)
+    assert len(ch2.get()) == 1
+    assert ch2.get()[0].content == "updated"
+
+
+def test_delta_channel_snapshot_every_emits_plain_list() -> None:
+    """snapshot_every=N causes a plain-list snapshot after N steps; next deltas chain to it."""
+    from langchain_core.messages import HumanMessage
+    from langgraph.checkpoint.base import DeltaValue
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    SNAP = 3
+    spec = DeltaChannel(add_messages, snapshot_every=SNAP)
+    ch = spec.from_checkpoint(MISSING)
+    # First after_checkpoint anchors _base_version without counting a step.
+    ch.after_checkpoint("v0", checkpoint_id="cid0")
+
+    # Steps 1..SNAP: each should stay as DeltaValue; counter increments each step.
+    for i in range(1, SNAP + 1):
+        ch.update([HumanMessage(content=f"m{i}", id=f"h{i}")])
+        ckpt = ch.checkpoint()
+        assert isinstance(ckpt, DeltaValue), f"expected DeltaValue at step {i}"
+        ch.after_checkpoint(f"v{i}", checkpoint_id=f"cid{i}")
+
+    # Step SNAP+1: _steps_since_snapshot == SNAP → snapshot fires
+    ch.update([HumanMessage(content="snap", id="hsnap")])
+    snap = ch.checkpoint()
+    assert isinstance(snap, list), "expected plain-list snapshot at snapshot_every step"
+    assert len(snap) == SNAP + 1
+
+    # After snapshot, counter resets — next step is DeltaValue again
+    ch.after_checkpoint("vsnap", checkpoint_id="cidsnap")
+    ch.update([HumanMessage(content="post", id="hpost")])
+    post = ch.checkpoint()
+    assert isinstance(post, DeltaValue)
+    assert post.prev_checkpoint_id == "cidsnap"
+
+
+def test_delta_channel_snapshot_every_end_to_end() -> None:
+    """Graph with snapshot_every: get_state returns correct accumulated value after snapshot."""
+    from typing import Annotated
+
+    from langchain_core.messages import AIMessage, HumanMessage
+    from langgraph.checkpoint.memory import InMemorySaver
+    from typing_extensions import TypedDict
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages, snapshot_every=2)]
+
+    counter = {"n": 0}
+
+    def respond(state: State) -> dict:
+        counter["n"] += 1
+        return {
+            "messages": [
+                AIMessage(content=f"ai-{counter['n']}", id=f"ai-{counter['n']}")
+            ]
+        }
+
+    builder = StateGraph(State)
+    builder.add_node("respond", respond)
+    builder.add_edge(START, "respond")
+    graph = builder.compile(checkpointer=InMemorySaver())
+    config = {"configurable": {"thread_id": "snap-test"}}
+
+    # Run 5 turns — snapshot fires after 2 steps, then again after 2 more
+    for i in range(5):
+        graph.invoke({"messages": [HumanMessage(content=f"h{i}", id=f"h{i}")]}, config)
+
+    state = graph.get_state(config)
+    msgs = state.values["messages"]
+    # 5 human + 5 AI = 10 total
+    assert len(msgs) == 10, f"expected 10 messages, got {len(msgs)}: {msgs}"
+
+
+def test_delta_channel_assembly_fast_path_returns_delta_value() -> None:
+    """get_channel_blob returning a DeltaValue continues chain traversal (fast-path)."""
+    from unittest.mock import MagicMock
+
+    from langgraph.checkpoint.base import (
+        DeltaChainValue,
+        DeltaValue,
+        empty_checkpoint,
+    )
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+    from langgraph.pregel._checkpoint import _assemble_delta_channels
+
+    msg1 = {"type": "human", "content": "one"}
+    msg2 = {"type": "ai", "content": "two"}
+    msg3 = {"type": "human", "content": "three"}
+
+    # cp3 → cp2 (DeltaValue) → cp1 (base list)
+    dv_cp2 = DeltaValue(delta=[msg2], prev_checkpoint_id="cp1")
+    cp3 = empty_checkpoint()
+    cp3["id"] = "cp3"
+    cp3["channel_values"]["messages"] = DeltaValue(
+        delta=[msg3], prev_checkpoint_id="cp2"
+    )
+
+    saver = MagicMock()
+
+    def _get_blob(thread_id, ns, checkpoint_id, channel):
+        if checkpoint_id == "cp2":
+            return dv_cp2  # DeltaValue — chain continues
+        if checkpoint_id == "cp1":
+            return [msg1]  # plain list — chain root
+        return NotImplemented
+
+    saver.get_channel_blob.side_effect = _get_blob
+
+    config = {"configurable": {"thread_id": "t1", "checkpoint_ns": ""}}
+    assembled = _assemble_delta_channels(cp3, config, saver)
+
+    chain = assembled["messages"]
+    assert isinstance(chain, DeltaChainValue)
+    assert chain.base == [msg1]
+    assert chain.deltas == [[msg2], [msg3]]
+
+    spec = DeltaChannel(add_messages)
+    ch = spec.from_checkpoint(chain)
+    # add_messages converts dicts to message objects; check by type and content
+
+    result = ch.get()
+    assert len(result) == 3
+    assert result[0].content == "one"
+    assert result[1].content == "two"
+    assert result[2].content == "three"
+
+
+def test_delta_channel_assembly_broken_chain_logs_warning() -> None:
+    """If a prev_checkpoint_id points to a missing checkpoint, log a warning and use partial chain."""
+    from unittest.mock import MagicMock
+
+    from langgraph.checkpoint.base import DeltaValue, empty_checkpoint
+
+    from langgraph.pregel._checkpoint import _assemble_delta_channels
+
+    cp = empty_checkpoint()
+    cp["id"] = "cp2"
+    cp["channel_values"]["messages"] = DeltaValue(
+        delta=["msg2"], prev_checkpoint_id="cp-missing"
+    )
+
+    saver = MagicMock()
+    saver.get_channel_blob.return_value = NotImplemented
+    saver.get_tuple.return_value = None  # checkpoint not found
+
+    config = {"configurable": {"thread_id": "t1", "checkpoint_ns": ""}}
+
+    assembled = _assemble_delta_channels(cp, config, saver)
+
+    # Should still assemble — with partial chain (just the current delta, base=None)
+    assert "messages" in assembled
+    from langgraph.checkpoint.base import DeltaChainValue
+
+    chain = assembled["messages"]
+    assert isinstance(chain, DeltaChainValue)
+    assert chain.base is None
+    assert chain.deltas == [["msg2"]]

libs/langgraph/tests/test_delta_channel_benchmark.py

@@ -0,0 +1,356 @@
+"""Benchmark: DeltaChannel vs BinaryOperatorAggregate storage and time.
+
+Run directly:  python tests/test_delta_channel_benchmark.py
+Run via pytest: pytest tests/test_delta_channel_benchmark.py -s
+
+Simulates realistic multi-turn conversations with paragraph-length messages
+(~100 tokens each) scaling up to 1M-token-equivalent histories.
+
+Token estimates: 1 token ≈ 4 chars; each turn ≈ 200 tokens (human + AI).
+A 1M-token conversation ≈ 5,000 turns of realistic messages.
+"""
+
+from __future__ import annotations
+
+import sys
+import time
+from typing import Annotated, Any
+
+from langchain_core.messages import AIMessage, HumanMessage
+from langgraph.checkpoint.memory import MemorySaver
+from typing_extensions import TypedDict
+
+from langgraph.channels.delta import DeltaChannel
+from langgraph.graph import END, StateGraph
+from langgraph.graph.message import add_messages
+
+try:
+    from langgraph.checkpoint.sqlite import SqliteSaver
+
+    _SQLITE_AVAILABLE = True
+except ImportError:
+    _SQLITE_AVAILABLE = False
+
+SNAPSHOT_EVERY = 50
+
+# ---------------------------------------------------------------------------
+# Realistic message payload (~100 tokens / ~400 chars each)
+# ---------------------------------------------------------------------------
+
+_HUMAN_TEMPLATE = (
+    "I need help understanding the implications of {topic} on our system architecture. "
+    "Specifically, I'm concerned about how this interacts with our existing {concern} "
+    "and whether we need to refactor the {component} layer before proceeding."
+)
+
+_AI_TEMPLATE = (
+    "Great question about {topic}. The key insight here is that {concern} introduces "
+    "a subtle ordering dependency that most teams overlook until they hit it in production. "
+    "For your {component} layer specifically, I'd recommend starting with a careful audit "
+    "of the interface boundaries before making any structural changes. This will give you "
+    "a clear picture of the blast radius and let you sequence the migration safely."
+)
+
+_TOPICS = [
+    "distributed tracing",
+    "eventual consistency",
+    "schema migration",
+    "backpressure handling",
+    "idempotency guarantees",
+    "cache invalidation",
+    "connection pooling",
+    "rate limiting",
+    "circuit breaking",
+    "observability pipelines",
+]
+
+_CONCERNS = [
+    "concurrency model",
+    "retry semantics",
+    "state management",
+    "error propagation",
+    "latency budget",
+]
+
+_COMPONENTS = [
+    "persistence",
+    "routing",
+    "ingestion",
+    "aggregation",
+    "serialization",
+]
+
+
+def _human_content(i: int) -> str:
+    return _HUMAN_TEMPLATE.format(
+        topic=_TOPICS[i % len(_TOPICS)],
+        concern=_CONCERNS[i % len(_CONCERNS)],
+        component=_COMPONENTS[i % len(_COMPONENTS)],
+    )
+
+
+def _ai_content(i: int) -> str:
+    return _AI_TEMPLATE.format(
+        topic=_TOPICS[i % len(_TOPICS)],
+        concern=_CONCERNS[i % len(_CONCERNS)],
+        component=_COMPONENTS[i % len(_COMPONENTS)],
+    )
+
+
+# ---------------------------------------------------------------------------
+# State definitions
+# ---------------------------------------------------------------------------
+
+
+class BinaryState(TypedDict):
+    messages: Annotated[list, add_messages]
+
+
+class DeltaState(TypedDict):
+    messages: Annotated[list, DeltaChannel(add_messages)]
+
+
+class DeltaSnapshotState(TypedDict):
+    messages: Annotated[list, DeltaChannel(add_messages, snapshot_every=SNAPSHOT_EVERY)]
+
+
+# ---------------------------------------------------------------------------
+# Graph factory
+# ---------------------------------------------------------------------------
+
+
+def _make_graph(state_cls: type, checkpointer: Any = None) -> Any:
+    def human_node(state: Any) -> dict:
+        return {}
+
+    def ai_node(state: Any) -> dict:
+        i = len(state["messages"]) // 2
+        return {"messages": [AIMessage(content=_ai_content(i), id=f"a{i}")]}
+
+    g = StateGraph(state_cls)
+    g.add_node("human", human_node)
+    g.add_node("ai", ai_node)
+    g.add_edge("human", "ai")
+    g.add_edge("ai", END)
+    g.set_entry_point("human")
+    return g.compile(checkpointer=checkpointer or MemorySaver())
+
+
+# ---------------------------------------------------------------------------
+# Measurement helpers
+# ---------------------------------------------------------------------------
+
+
+def _total_blob_bytes(saver: MemorySaver) -> int:
+    total = 0
+    for (_, _, _, _), (type_tag, blob) in saver.blobs.items():
+        if blob is not None:
+            total += len(blob)
+    return total
+
+
+def _run_turns(
+    n_turns: int,
+    state_cls: type,
+    checkpointer: Any = None,
+) -> tuple[float, float, int]:
+    """Run n_turns conversation turns.
+
+    Returns (write_elapsed_s, read_elapsed_s, total_blob_bytes).
+    blob_bytes is -1 for savers without in-memory blob stores (e.g. SQLite).
+    Read latency is measured as the time to invoke the graph with no new
+    messages after the full history is built — this forces state rehydration.
+    """
+    graph = _make_graph(state_cls, checkpointer)
+    config = {"configurable": {"thread_id": "bench"}}
+
+    t0 = time.perf_counter()
+    for i in range(n_turns):
+        graph.invoke(
+            {"messages": [HumanMessage(content=_human_content(i), id=f"h{i}")]},
+            config,
+        )
+    write_elapsed = time.perf_counter() - t0
+
+    # Measure read/rehydration: get_state forces the channel to rebuild
+    t1 = time.perf_counter()
+    for _ in range(5):
+        graph.get_state(config)
+    read_elapsed = (time.perf_counter() - t1) / 5
+
+    if isinstance(graph.checkpointer, MemorySaver):
+        blob_bytes = _total_blob_bytes(graph.checkpointer)
+    else:
+        blob_bytes = -1
+    return write_elapsed, read_elapsed, blob_bytes
+
+
+def _fmt_bytes(n: int) -> str:
+    if n >= 1_000_000:
+        return f"{n / 1_000_000:.1f} MB"
+    if n >= 1_000:
+        return f"{n / 1_000:.1f} KB"
+    return f"{n} B"
+
+
+def _approx_tokens(n_turns: int) -> str:
+    # ~100 tokens human + ~100 tokens AI per turn
+    tokens = n_turns * 200
+    if tokens >= 1_000_000:
+        return f"~{tokens / 1_000_000:.1f}M tok"
+    if tokens >= 1_000:
+        return f"~{tokens / 1_000:.0f}K tok"
+    return f"~{tokens} tok"
+
+
+# ---------------------------------------------------------------------------
+# Benchmark matrix
+# ---------------------------------------------------------------------------
+
+# Turn counts chosen to span from a short session to a long-running agent conversation.
+# Storage and time complexity differences are clearly visible by 500 turns.
+# Extrapolation: 5,000 turns × ~200 tokens/turn ≈ 1M tokens (Claude's full context window).
+TURN_COUNTS = [50, 100, 200, 500]
+
+
+def _checkpointer_factories() -> list[tuple[str, Any]]:
+    """Return (label, context_manager_or_none) pairs for available checkpointers."""
+    factories: list[tuple[str, Any]] = [("InMemory", None)]
+    if _SQLITE_AVAILABLE:
+        import tempfile
+
+        factories.append(("SQLite", tempfile.NamedTemporaryFile(suffix=".db")))
+    return factories
+
+
+def run_benchmark() -> None:
+    print()
+    print(
+        "DeltaChannel vs add_messages (BinaryOperatorAggregate) — checkpoint storage & latency"
+    )
+    print("Simulating realistic multi-turn conversations up to ~1M-token histories")
+    print("(5,000 turns × ~200 tokens/turn ≈ 1M tokens — Claude's full context window)")
+    print()
+
+    checkpointers: list[tuple[str, Any]] = [("InMemory (fast-path)", None)]
+    if _SQLITE_AVAILABLE:
+        checkpointers.append(("SQLite (get_tuple fallback)", "sqlite"))
+
+    for cp_label, cp_hint in checkpointers:
+        print(f"--- Checkpointer: {cp_label} ---")
+        _run_benchmark_for_checkpointer(cp_hint)
+
+
+def _run_benchmark_for_checkpointer(cp_hint: Any) -> None:
+    import contextlib
+    import tempfile
+
+    @contextlib.contextmanager
+    def _make_saver():
+        if cp_hint is None:
+            yield None
+        else:
+            with tempfile.NamedTemporaryFile(suffix=".db") as f:
+                with SqliteSaver.from_conn_string(f.name) as saver:
+                    yield saver
+
+    W = 120
+    print("=" * W)
+    header = (
+        f"{'turns':>6}  {'ctx size':>10}  "
+        f"{'add_msgs (bytes)':>18}  {'delta (bytes)':>15}  {'delta+snap (bytes)':>18}  "
+        f"{'storage saved':>14}  "
+        f"{'read: add_msgs':>14}  {'read: delta+snap':>16}"
+    )
+    print(header)
+    print("-" * W)
+
+    results = []
+    for turns in TURN_COUNTS:
+        with _make_saver() as saver:
+            b_wt, b_rt, b_bytes = _run_turns(turns, BinaryState, saver)
+        with _make_saver() as saver:
+            d_wt, d_rt, d_bytes = _run_turns(turns, DeltaState, saver)
+        with _make_saver() as saver:
+            s_wt, s_rt, s_bytes = _run_turns(turns, DeltaSnapshotState, saver)
+
+        # For non-InMemory savers, blob_bytes are unavailable (-1); use read times only
+        if b_bytes < 0 or s_bytes < 0:
+            b_bytes_str = "n/a"
+            d_bytes_str = "n/a"
+            s_bytes_str = "n/a"
+            storage_ratio_str = "n/a"
+        else:
+            storage_ratio = b_bytes / s_bytes if s_bytes else float("inf")
+            b_bytes_str = _fmt_bytes(b_bytes)
+            d_bytes_str = _fmt_bytes(d_bytes)
+            s_bytes_str = _fmt_bytes(s_bytes)
+            storage_ratio_str = f"{storage_ratio:.1f}x"
+            results.append((turns, b_bytes, s_bytes, b_rt, s_rt, storage_ratio))
+
+        print(
+            f"{turns:>6}  {_approx_tokens(turns):>10}  "
+            f"{b_bytes_str:>18}  {d_bytes_str:>15}  {s_bytes_str:>18}  "
+            f"{storage_ratio_str:>14}  "
+            f"{b_rt * 1000:>12.1f}ms  {s_rt * 1000:>14.1f}ms"
+        )
+
+    print("=" * W)
+    print()
+
+    if results:
+        best = results[-1]
+        turns, b_bytes, s_bytes, b_rt, s_rt, ratio = best
+        print(f"Key findings at max scale ({turns} turns):")
+        print(
+            f"  Storage:  {_fmt_bytes(b_bytes)} (add_messages)  →  {_fmt_bytes(s_bytes)} (DeltaChannel+snapshot) — {ratio:.0f}x reduction"
+        )
+        print(
+            f"  Read latency: {b_rt * 1000:.1f}ms (add_messages)  vs  {s_rt * 1000:.1f}ms (DeltaChannel+snapshot)"
+        )
+        print()
+    print("Legend:")
+    print(
+        "  add_msgs      = Annotated[list, add_messages]  — current default, O(N²) storage"
+    )
+    print(
+        "  delta         = DeltaChannel(add_messages)     — O(N) storage, unbounded chain at read"
+    )
+    print(
+        f"  delta+snap    = DeltaChannel(add_messages, snapshot_every={SNAPSHOT_EVERY})  — O(N) storage, O(1) read depth"
+    )
+    print()
+
+
+# ---------------------------------------------------------------------------
+# Pytest entry point
+# ---------------------------------------------------------------------------
+
+
+def test_delta_channel_benchmark(capsys: Any) -> None:
+    """Storage grows O(N²) for add_messages, O(N) for DeltaChannel."""
+    with capsys.disabled():
+        run_benchmark()
+
+    # Correctness assertion: DeltaChannel must use less storage at scale.
+    for turns in [100, 200]:
+        _, _, b_bytes = _run_turns(turns, BinaryState)
+        _, _, d_bytes = _run_turns(turns, DeltaState)
+        _, _, s_bytes = _run_turns(turns, DeltaSnapshotState)
+        assert d_bytes < b_bytes, (
+            f"DeltaChannel should use less storage at {turns} turns, "
+            f"got delta={d_bytes} binary={b_bytes}"
+        )
+        assert s_bytes < b_bytes, (
+            f"DeltaChannel+snapshot should use less storage at {turns} turns, "
+            f"got snapshot={s_bytes} binary={b_bytes}"
+        )
+
+
+# ---------------------------------------------------------------------------
+# Script entry point
+# ---------------------------------------------------------------------------
+
+if __name__ == "__main__":
+    run_benchmark()
+    sys.exit(0)

libs/langgraph/tests/test_graph_callbacks.py

@@ -0,0 +1,277 @@
+from __future__ import annotations
+
+import sys
+from typing import Any
+
+import pytest
+from langchain_core.callbacks.base import BaseCallbackHandler
+from langchain_core.callbacks.manager import CallbackManager
+from langgraph.checkpoint.memory import InMemorySaver
+from typing_extensions import TypedDict
+
+from langgraph.callbacks import (
+    GraphCallbackHandler,
+    GraphInterruptEvent,
+    GraphResumeEvent,
+)
+from langgraph.graph import START, StateGraph
+from langgraph.types import Command, Interrupt, interrupt
+
+NEEDS_CONTEXTVARS = pytest.mark.skipif(
+    sys.version_info < (3, 11),
+    reason="Python 3.11+ is required for async contextvars support",
+)
+
+
+class _GraphEventHandler(GraphCallbackHandler):
+    def __init__(self) -> None:
+        self.interrupt_events: list[GraphInterruptEvent] = []
+        self.resume_events: list[GraphResumeEvent] = []
+
+    def on_interrupt(self, event: GraphInterruptEvent) -> Any:
+        self.interrupt_events.append(event)
+
+    def on_resume(self, event: GraphResumeEvent) -> Any:
+        self.resume_events.append(event)
+
+
+class _LangChainCustomEventHandler(BaseCallbackHandler):
+    run_inline = True
+
+    def __init__(self) -> None:
+        self.events: list[str] = []
+
+    def on_custom_event(self, name: str, data: Any, **kwargs: Any) -> Any:
+        self.events.append(name)
+
+
+class _RaisingGraphEventHandler(GraphCallbackHandler):
+    def __init__(
+        self,
+        *,
+        raise_on_interrupt: bool = False,
+        raise_on_resume: bool = False,
+        raise_error: bool = False,
+    ) -> None:
+        self.raise_on_interrupt = raise_on_interrupt
+        self.raise_on_resume = raise_on_resume
+        self.raise_error = raise_error
+
+    def on_interrupt(self, event: GraphInterruptEvent) -> Any:
+        if self.raise_on_interrupt:
+            raise ValueError("boom-interrupt")
+
+    def on_resume(self, event: GraphResumeEvent) -> Any:
+        if self.raise_on_resume:
+            raise ValueError("boom-resume")
+
+
+class _AsyncRaisingGraphEventHandler(GraphCallbackHandler):
+    def __init__(
+        self,
+        *,
+        raise_on_interrupt: bool = False,
+        raise_on_resume: bool = False,
+        raise_error: bool = False,
+    ) -> None:
+        self.raise_on_interrupt = raise_on_interrupt
+        self.raise_on_resume = raise_on_resume
+        self.raise_error = raise_error
+
+    async def on_interrupt(self, event: GraphInterruptEvent) -> Any:
+        if self.raise_on_interrupt:
+            raise ValueError("boom-interrupt")
+
+    async def on_resume(self, event: GraphResumeEvent) -> Any:
+        if self.raise_on_resume:
+            raise ValueError("boom-resume")
+
+
+class _State(TypedDict):
+    answer: str | None
+
+
+def _build_interrupt_graph() -> Any:
+    def ask(state: _State) -> _State:
+        answer = interrupt("Provide value")
+        return {"answer": answer}
+
+    builder = StateGraph(_State)
+    builder.add_node("ask", ask)
+    builder.add_edge(START, "ask")
+    return builder.compile(checkpointer=InMemorySaver())
+
+
+def test_graph_callbacks_interrupt_and_resume_sync() -> None:
+    graph = _build_interrupt_graph()
+    handler = _GraphEventHandler()
+    langchain_handler = _LangChainCustomEventHandler()
+    config = {
+        "configurable": {"thread_id": "graph-callback-sync"},
+        "callbacks": [langchain_handler, handler],
+    }
+
+    first = graph.invoke({"answer": None}, config)
+    assert "__interrupt__" in first
+
+    assert len(handler.interrupt_events) == 1
+    assert handler.interrupt_events[0].interrupts
+    assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
+    assert handler.interrupt_events[0].checkpoint_ns == ()
+    assert langchain_handler.events == []
+
+    handler.resume_events.clear()
+    resumed = graph.invoke(Command(resume="done"), config)
+    assert resumed == {"answer": "done"}
+
+    assert len(handler.resume_events) == 1
+    assert handler.resume_events[0].checkpoint_ns == ()
+    assert langchain_handler.events == []
+
+
+@pytest.mark.anyio
+@NEEDS_CONTEXTVARS
+async def test_graph_callbacks_interrupt_and_resume_async() -> None:
+    graph = _build_interrupt_graph()
+    handler = _GraphEventHandler()
+    langchain_handler = _LangChainCustomEventHandler()
+    config = {
+        "configurable": {"thread_id": "graph-callback-async"},
+        "callbacks": [langchain_handler, handler],
+    }
+
+    first = await graph.ainvoke({"answer": None}, config)
+    assert "__interrupt__" in first
+
+    assert len(handler.interrupt_events) == 1
+    assert handler.interrupt_events[0].interrupts
+    assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
+    assert handler.interrupt_events[0].checkpoint_ns == ()
+    assert langchain_handler.events == []
+
+    handler.resume_events.clear()
+    resumed = await graph.ainvoke(Command(resume="done"), config)
+    assert resumed == {"answer": "done"}
+
+    assert len(handler.resume_events) == 1
+    assert handler.resume_events[0].checkpoint_ns == ()
+    assert langchain_handler.events == []
+
+
+def test_graph_callbacks_continue_when_interrupt_handler_raises_sync() -> None:
+    graph = _build_interrupt_graph()
+    raising_handler = _RaisingGraphEventHandler(raise_on_interrupt=True)
+    recording_handler = _GraphEventHandler()
+
+    first = graph.invoke(
+        {"answer": None},
+        {
+            "configurable": {"thread_id": "graph-callback-sync-raises"},
+            "callbacks": [raising_handler, recording_handler],
+        },
+    )
+
+    assert "__interrupt__" in first
+    assert len(recording_handler.interrupt_events) == 1
+
+
+def test_graph_callbacks_continue_when_resume_handler_raises_sync() -> None:
+    graph = _build_interrupt_graph()
+    raising_handler = _RaisingGraphEventHandler(raise_on_resume=True)
+    recording_handler = _GraphEventHandler()
+    config = {
+        "configurable": {"thread_id": "graph-callback-sync-raises-resume"},
+        "callbacks": [raising_handler, recording_handler],
+    }
+
+    first = graph.invoke({"answer": None}, config)
+    assert "__interrupt__" in first
+
+    resumed = graph.invoke(Command(resume="done"), config)
+    assert resumed == {"answer": "done"}
+    assert len(recording_handler.resume_events) == 1
+
+
+def test_graph_callbacks_raise_error_propagates_sync() -> None:
+    graph = _build_interrupt_graph()
+    raising_handler = _RaisingGraphEventHandler(
+        raise_on_interrupt=True,
+        raise_error=True,
+    )
+
+    with pytest.raises(ValueError, match="boom-interrupt"):
+        graph.invoke(
+            {"answer": None},
+            {
+                "configurable": {"thread_id": "graph-callback-sync-raise-error"},
+                "callbacks": [raising_handler],
+            },
+        )
+
+
+@pytest.mark.anyio
+@NEEDS_CONTEXTVARS
+async def test_graph_callbacks_continue_when_handler_raises_async() -> None:
+    graph = _build_interrupt_graph()
+    raising_interrupt_handler = _AsyncRaisingGraphEventHandler(raise_on_interrupt=True)
+    recording_handler = _GraphEventHandler()
+    config = {
+        "configurable": {"thread_id": "graph-callback-async-raises-interrupt"},
+        "callbacks": [raising_interrupt_handler, recording_handler],
+    }
+
+    first = await graph.ainvoke({"answer": None}, config)
+    assert "__interrupt__" in first
+    assert len(recording_handler.interrupt_events) == 1
+
+    graph = _build_interrupt_graph()
+    raising_resume_handler = _AsyncRaisingGraphEventHandler(raise_on_resume=True)
+    recording_handler = _GraphEventHandler()
+    config = {
+        "configurable": {"thread_id": "graph-callback-async-raises-resume"},
+        "callbacks": [raising_resume_handler, recording_handler],
+    }
+
+    first = await graph.ainvoke({"answer": None}, config)
+    assert "__interrupt__" in first
+    resumed = await graph.ainvoke(Command(resume="done"), config)
+    assert resumed == {"answer": "done"}
+    assert len(recording_handler.resume_events) == 1
+
+
+@pytest.mark.anyio
+@NEEDS_CONTEXTVARS
+async def test_graph_callbacks_raise_error_propagates_async() -> None:
+    graph = _build_interrupt_graph()
+    raising_handler = _AsyncRaisingGraphEventHandler(
+        raise_on_interrupt=True,
+        raise_error=True,
+    )
+
+    with pytest.raises(ValueError, match="boom-interrupt"):
+        await graph.ainvoke(
+            {"answer": None},
+            {
+                "configurable": {"thread_id": "graph-callback-async-raise-error"},
+                "callbacks": [raising_handler],
+            },
+        )
+
+
+def test_graph_callbacks_accept_base_callback_manager() -> None:
+    graph = _build_interrupt_graph()
+    graph_handler = _GraphEventHandler()
+    custom_handler = _LangChainCustomEventHandler()
+    manager = CallbackManager.configure(inheritable_callbacks=[custom_handler])
+    manager.add_handler(graph_handler)
+
+    first = graph.invoke(
+        {"answer": None},
+        {
+            "configurable": {"thread_id": "graph-callback-base-manager"},
+            "callbacks": manager,
+        },
+    )
+
+    assert "__interrupt__" in first
+    assert len(graph_handler.interrupt_events) == 1

libs/langgraph/tests/test_large_cases.py

@@ -1396,7 +1396,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                 "langgraph_path": (PULL, "agent"),
                 "langgraph_checkpoint_ns": AnyStr("agent:"),
                 "checkpoint_ns": AnyStr("agent:"),
-                "_type": "generic-fake-chat-model",
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
@@ -1459,7 +1458,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                 "langgraph_path": (PULL, "agent"),
                 "langgraph_checkpoint_ns": AnyStr("agent:"),
                 "checkpoint_ns": AnyStr("agent:"),
-                "_type": "generic-fake-chat-model",
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
@@ -1512,7 +1510,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                 "langgraph_path": (PULL, "agent"),
                 "langgraph_checkpoint_ns": AnyStr("agent:"),
                 "checkpoint_ns": AnyStr("agent:"),
-                "_type": "generic-fake-chat-model",
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
@@ -6884,7 +6881,6 @@ def test_weather_subgraph(
                     "langgraph_path": ("__pregel_pull", "router_node"),
                     "langgraph_checkpoint_ns": AnyStr("router_node:"),
                     "checkpoint_ns": AnyStr("router_node:"),
-                    "_type": "fake-messages-list-chat-model",
                     "ls_provider": "fakemessageslistchatmodel",
                     "ls_model_type": "chat",
                     "ls_integration": "langchain_chat_model",
@@ -6912,7 +6908,6 @@ def test_weather_subgraph(
                     "langgraph_path": ("__pregel_pull", "model_node"),
                     "langgraph_checkpoint_ns": AnyStr("weather_graph:"),
                     "checkpoint_ns": AnyStr("weather_graph:"),
-                    "_type": "fake-messages-list-chat-model",
                     "ls_provider": "fakemessageslistchatmodel",
                     "ls_model_type": "chat",
                     "ls_integration": "langchain_chat_model",
@@ -6949,7 +6944,6 @@ def test_weather_subgraph(
                 "langgraph_path": ("__pregel_pull", "router_node"),
                 "langgraph_checkpoint_ns": AnyStr("router_node:"),
                 "checkpoint_ns": AnyStr("router_node:"),
-                "_type": "fake-messages-list-chat-model",
                 "ls_provider": "fakemessageslistchatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",

libs/langgraph/tests/test_large_cases_async.py

@@ -1147,7 +1147,6 @@ async def test_prebuilt_tool_chat() -> None:
                 "langgraph_path": (PULL, "agent"),
                 "langgraph_checkpoint_ns": AnyStr("agent:"),
                 "checkpoint_ns": AnyStr("agent:"),
-                "_type": "generic-fake-chat-model",
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
@@ -1210,7 +1209,6 @@ async def test_prebuilt_tool_chat() -> None:
                 "langgraph_path": (PULL, "agent"),
                 "langgraph_checkpoint_ns": AnyStr("agent:"),
                 "checkpoint_ns": AnyStr("agent:"),
-                "_type": "generic-fake-chat-model",
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
@@ -1263,7 +1261,6 @@ async def test_prebuilt_tool_chat() -> None:
                 "langgraph_path": (PULL, "agent"),
                 "langgraph_checkpoint_ns": AnyStr("agent:"),
                 "checkpoint_ns": AnyStr("agent:"),
-                "_type": "generic-fake-chat-model",
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
@@ -3981,7 +3978,6 @@ async def test_weather_subgraph(
                     "langgraph_path": ("__pregel_pull", "router_node"),
                     "langgraph_checkpoint_ns": AnyStr("router_node:"),
                     "checkpoint_ns": AnyStr("router_node:"),
-                    "_type": "fake-messages-list-chat-model",
                     "ls_provider": "fakemessageslistchatmodel",
                     "ls_model_type": "chat",
                     "ls_integration": "langchain_chat_model",
@@ -4009,7 +4005,6 @@ async def test_weather_subgraph(
                     "langgraph_path": ("__pregel_pull", "model_node"),
                     "langgraph_checkpoint_ns": AnyStr("weather_graph:"),
                     "checkpoint_ns": AnyStr("weather_graph:"),
-                    "_type": "fake-messages-list-chat-model",
                     "ls_provider": "fakemessageslistchatmodel",
                     "ls_model_type": "chat",
                     "ls_integration": "langchain_chat_model",
@@ -4046,7 +4041,6 @@ async def test_weather_subgraph(
                 "langgraph_path": ("__pregel_pull", "router_node"),
                 "langgraph_checkpoint_ns": AnyStr("router_node:"),
                 "checkpoint_ns": AnyStr("router_node:"),
-                "_type": "fake-messages-list-chat-model",
                 "ls_provider": "fakemessageslistchatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",

libs/langgraph/tests/test_pregel.py

@@ -615,8 +615,11 @@ def test_run_from_checkpoint_id_retains_previous_writes(
         )
     ]
 
-    assert len(new_history) == len(history) + 1
-    for original, new in zip(history, new_history[1:]):
+    # +2: one fork checkpoint from time travel, one from the new execution
+    assert len(new_history) == len(history) + 2
+    # new_history[0] is the new execution result, new_history[1] is the fork
+    assert new_history[1].metadata["source"] == "fork"
+    for original, new in zip(history, new_history[2:]):
         assert original.values == new.values
         assert original.next == new.next
         assert original.metadata["step"] == new.metadata["step"]
@@ -624,7 +627,7 @@ def test_run_from_checkpoint_id_retains_previous_writes(
     def _get_tasks(hist: list, start: int):
         return [h.tasks for h in hist[start:]]
 
-    assert _get_tasks(new_history, 1) == _get_tasks(history, 0)
+    assert _get_tasks(new_history, 2) == _get_tasks(history, 0)
 
 
 def test_batch_two_processes_in_out() -> None:
@@ -1329,20 +1332,22 @@ def test_imp_nested(
     }
 
     thread1 = {"configurable": {"thread_id": "1"}}
-    assert [*graph.stream([0, 1], thread1, durability=durability)] == [
-        {"submapper": "0"},
+    result = [*graph.stream([0, 1], thread1, durability=durability)]
+    # nested tasks run concurrently so output order is non-deterministic
+    assert sorted(result[:-1], key=lambda d: str(d)) == [
         {"mapper": "00"},
-        {"submapper": "1"},
         {"mapper": "11"},
-        {
-            "__interrupt__": (
-                Interrupt(
-                    value="question",
-                    id=AnyStr(),
-                ),
-            )
-        },
+        {"submapper": "0"},
+        {"submapper": "1"},
     ]
+    assert result[-1] == {
+        "__interrupt__": (
+            Interrupt(
+                value="question",
+                id=AnyStr(),
+            ),
+        )
+    }
 
     assert graph.invoke(Command(resume="answer"), thread1, durability=durability) == [
         "00answera",
@@ -6269,7 +6274,7 @@ def test_sync_streaming_with_functional_api() -> None:
     @task()
     def slow() -> dict:
         time.sleep(time_delay)  # Simulate a delay of 10 ms
-        return {"tic": time.time()}
+        return {"tic": time.monotonic()}
 
     @entrypoint()
     def graph(inputs: dict) -> list:
@@ -6282,7 +6287,7 @@ def test_sync_streaming_with_functional_api() -> None:
     for chunk in graph.stream({}):
         if "slow" not in chunk:  # We'll just look at the updates from `slow`
             continue
-        arrival_times.append(time.time())
+        arrival_times.append(time.monotonic())
 
     assert len(arrival_times) == 2
     delta = arrival_times[1] - arrival_times[0]
@@ -6891,7 +6896,6 @@ def test_tags_stream_mode_messages() -> None:
                 "langgraph_path": ("__pregel_pull", "call_model"),
                 "langgraph_checkpoint_ns": AnyStr("call_model:"),
                 "checkpoint_ns": AnyStr("call_model:"),
-                "_type": "generic-fake-chat-model",
                 "ls_provider": "genericfakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
@@ -6901,6 +6905,60 @@ def test_tags_stream_mode_messages() -> None:
     ]
 
 
+def test_configurable_propagates_to_stream_metadata() -> None:
+    """Regression: thread_id, run_id, assistant_id, graph_id,
+    and langgraph_auth_user_id from configurable must appear
+    in stream_mode='messages' metadata."""
+
+    def my_node(state):
+        return {"messages": HumanMessage(content="hello")}
+
+    graph = (
+        StateGraph(MessagesState)
+        .add_node("my_node", my_node)
+        .add_edge(START, "my_node")
+        .compile()
+    )
+
+    config = {
+        "configurable": {
+            "thread_id": "th-123",
+            "checkpoint_id": "ckpt-1",
+            "checkpoint_ns": "ns-1",
+            "task_id": "task-1",
+            "run_id": "run-456",
+            "assistant_id": "asst-789",
+            "graph_id": "graph-0",
+            "model": "gpt-4o",
+            "user_id": "uid-1",
+            "cron_id": "cron-1",
+            "langgraph_auth_user_id": "user-1",
+            # these should NOT be propagated into metadata
+            "some_api_key": "secret",
+            "custom_setting": {"nested": True},
+        },
+    }
+    results = list(graph.stream({"messages": []}, config, stream_mode="messages"))
+    assert len(results) == 1
+    _, metadata = results[0]
+    # propagated keys
+    assert metadata["thread_id"] == "th-123"
+    assert metadata["checkpoint_id"] == "ckpt-1"
+    assert metadata["checkpoint_ns"] == "ns-1"
+    assert metadata["task_id"] == "task-1"
+    assert metadata["run_id"] == "run-456"
+    assert metadata["assistant_id"] == "asst-789"
+    assert metadata["graph_id"] == "graph-0"
+    # These are only present in trace metadata by default as of langgraph 1.2
+    # assert metadata["model"] == "gpt-4o"
+    # assert metadata["user_id"] == "uid-1"
+    # assert metadata["cron_id"] == "cron-1"
+    # assert metadata["langgraph_auth_user_id"] == "user-1"
+    # non-allowlisted keys must not appear
+    assert "some_api_key" not in metadata
+    assert "custom_setting" not in metadata
+
+
 def test_stream_mode_messages_command() -> None:
     from langchain_core.messages import HumanMessage
 
@@ -9342,3 +9400,190 @@ def test_fork_does_not_apply_pending_writes(
 
     # Should be: 1 (input) + 20 (forked node_a) + 100 (node_b) = 121
     assert result == {"value": 121}
+
+
+async def test_delta_channel_end_to_end_inmemory() -> None:
+    """Full graph run: DeltaChannel accumulates correctly across multiple turns."""
+    from langchain_core.messages import AIMessage, HumanMessage
+    from langgraph.checkpoint.memory import InMemorySaver
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages)]
+
+    def respond(state: State) -> dict:
+        n = len(state["messages"])
+        return {"messages": [AIMessage(content=f"reply-{n}", id=f"ai-{n}")]}
+
+    builder = StateGraph(State)
+    builder.add_node("respond", respond)
+    builder.add_edge(START, "respond")
+    graph = builder.compile(checkpointer=InMemorySaver())
+
+    config = {"configurable": {"thread_id": "diff-test-1"}}
+
+    # Turn 1
+    graph.invoke({"messages": [HumanMessage(content="hello", id="h1")]}, config)
+    # Turn 2
+    graph.invoke({"messages": [HumanMessage(content="world", id="h2")]}, config)
+    # Turn 3
+    graph.invoke({"messages": [HumanMessage(content="bye", id="h3")]}, config)
+
+    state = graph.get_state(config)
+    msgs = state.values["messages"]
+    # 3 human + 3 AI = 6 total
+    assert len(msgs) == 6, f"expected 6 messages, got {len(msgs)}: {msgs}"
+    assert msgs[0].content == "hello"
+    assert msgs[2].content == "world"
+    assert msgs[4].content == "bye"
+    assert msgs[1].content == "reply-1"
+    assert msgs[3].content == "reply-3"
+    assert msgs[5].content == "reply-5"
+
+
+async def test_delta_channel_time_travel() -> None:
+    """Time-travel back to turn-1 checkpoint and resume; continuation must not include turn-2 deltas."""
+    from langchain_core.messages import AIMessage, HumanMessage
+    from langgraph.checkpoint.memory import InMemorySaver
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages)]
+
+    counter = {"n": 0}
+
+    def respond(state: State) -> dict:
+        counter["n"] += 1
+        return {
+            "messages": [
+                AIMessage(content=f"ai-{counter['n']}", id=f"ai-{counter['n']}")
+            ]
+        }
+
+    builder = StateGraph(State)
+    builder.add_node("respond", respond)
+    builder.add_edge(START, "respond")
+    saver = InMemorySaver()
+    graph = builder.compile(checkpointer=saver)
+
+    config = {"configurable": {"thread_id": "diff-time-travel"}}
+
+    # Run 2 turns: h1→ai-1, h2→ai-2
+    graph.invoke({"messages": [HumanMessage(content="h1", id="h1")]}, config)
+    graph.invoke({"messages": [HumanMessage(content="h2", id="h2")]}, config)
+
+    # Find the checkpoint after turn 1 (2 messages: h1 + ai-1)
+    history = list(graph.get_state_history(config))
+    after_turn1 = next(h for h in history if len(h.values.get("messages", [])) == 2)
+
+    assert len(after_turn1.values["messages"]) == 2
+    assert after_turn1.values["messages"][0].content == "h1"
+    assert after_turn1.values["messages"][1].content == "ai-1"
+
+    # Resume from turn-1 checkpoint: inject h3, expect 3 messages total (h1, ai-1, ai-N)
+    # NOT 5 messages (turn-2 deltas must not bleed into the resumed run)
+    result = graph.invoke(
+        {"messages": [HumanMessage(content="h3", id="h3")]},
+        after_turn1.config,
+    )
+    msgs = result["messages"]
+    # Should be: h1, ai-1, h3, ai-N — 4 messages total
+    assert len(msgs) == 4, (
+        f"expected 4 messages after time-travel resume, got {len(msgs)}: {msgs}"
+    )
+    assert msgs[0].content == "h1"
+    assert msgs[1].content == "ai-1"
+    assert msgs[2].content == "h3"
+
+
+async def test_delta_channel_remove_message_end_to_end() -> None:
+    """RemoveMessage inside a DeltaChannel graph must persist and reload correctly."""
+    from langchain_core.messages import AIMessage, HumanMessage, RemoveMessage
+    from langgraph.checkpoint.memory import InMemorySaver
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages)]
+
+    def respond(state: State) -> dict:
+        return {"messages": [AIMessage(content="reply", id="ai-1")]}
+
+    def delete_first(state: State) -> dict:
+        # removes the first message
+        return {"messages": [RemoveMessage(id=state["messages"][0].id)]}
+
+    builder = StateGraph(State)
+    builder.add_node("respond", respond)
+    builder.add_node("delete_first", delete_first)
+    builder.add_edge(START, "respond")
+    builder.add_edge("respond", "delete_first")
+    graph = builder.compile(checkpointer=InMemorySaver())
+
+    config = {"configurable": {"thread_id": "diff-remove-test"}}
+    graph.invoke({"messages": [HumanMessage(content="hello", id="h1")]}, config)
+
+    state = graph.get_state(config)
+    msgs = state.values["messages"]
+    # h1 was removed, only ai-1 should remain
+    assert len(msgs) == 1, f"expected 1 message, got {len(msgs)}: {msgs}"
+    assert msgs[0].id == "ai-1"
+
+    # A subsequent turn must reconstruct from the checkpoint correctly
+    graph.invoke({"messages": [HumanMessage(content="again", id="h2")]}, config)
+    state = graph.get_state(config)
+    msgs = state.values["messages"]
+    # ai-1 + h2 + ai-1(second reply, same id overwrites) + h2 removed
+    # more simply: after second run we expect ai-1 updated + h2 remaining minus deleted h2
+    # just assert h1 is still gone
+    assert all(m.id != "h1" for m in msgs), (
+        "h1 should still be absent after second turn"
+    )
+
+
+async def test_delta_channel_update_by_id_end_to_end() -> None:
+    """Updating a message by ID via DeltaChannel must persist and reload correctly."""
+    from langchain_core.messages import HumanMessage
+    from langgraph.checkpoint.memory import InMemorySaver
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages)]
+
+    def update_msg(state: State) -> dict:
+        # re-send h1 with updated content
+        return {"messages": [HumanMessage(content="updated", id="h1")]}
+
+    builder = StateGraph(State)
+    builder.add_node("update_msg", update_msg)
+    builder.add_edge(START, "update_msg")
+    graph = builder.compile(checkpointer=InMemorySaver())
+
+    config = {"configurable": {"thread_id": "diff-update-id-test"}}
+    graph.invoke({"messages": [HumanMessage(content="original", id="h1")]}, config)
+
+    state = graph.get_state(config)
+    msgs = state.values["messages"]
+    assert len(msgs) == 1, f"expected 1 message, got {len(msgs)}: {msgs}"
+    assert msgs[0].content == "updated"
+    assert msgs[0].id == "h1"
+
+    # Second turn: verify the updated state is the base for further accumulation
+    graph.invoke({"messages": [HumanMessage(content="new", id="h2")]}, config)
+    state = graph.get_state(config)
+    msgs = state.values["messages"]
+    ids = [m.id for m in msgs]
+    assert "h1" in ids  # h1 persists (updated, not duplicated)
+    assert "h2" in ids
+    assert ids.count("h1") == 1, "h1 must not be duplicated"

libs/langgraph/tests/test_pregel_async.py

@@ -20,6 +20,7 @@ from uuid import UUID
 
 import pytest
 from langchain_core.language_models import GenericFakeChatModel
+from langchain_core.messages import HumanMessage
 from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnablePassthrough
 from langchain_core.utils.aiter import aclosing
 from langgraph.cache.base import BaseCache
@@ -2085,8 +2086,11 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
         )
     ]
 
-    assert len(new_history) == len(history) + 1
-    for original, new in zip(history, new_history[1:]):
+    # +2: one fork checkpoint from time travel, one from the new execution
+    assert len(new_history) == len(history) + 2
+    # new_history[0] is the new execution result, new_history[1] is the fork
+    assert new_history[1].metadata["source"] == "fork"
+    for original, new in zip(history, new_history[2:]):
         assert original.values == new.values
         assert original.next == new.next
         assert original.metadata["step"] == new.metadata["step"]
@@ -2094,7 +2098,7 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
     def _get_tasks(hist: list, start: int):
         return [h.tasks for h in hist[start:]]
 
-    assert _get_tasks(new_history, 1) == _get_tasks(history, 0)
+    assert _get_tasks(new_history, 2) == _get_tasks(history, 0)
 
 
 async def test_cond_edge_after_send() -> None:
@@ -7541,7 +7545,6 @@ async def test_tags_stream_mode_messages() -> None:
                 "langgraph_path": ("__pregel_pull", "call_model"),
                 "langgraph_checkpoint_ns": AnyStr("call_model:"),
                 "checkpoint_ns": AnyStr("call_model:"),
-                "_type": "generic-fake-chat-model",
                 "ls_provider": "genericfakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
@@ -7551,6 +7554,67 @@ async def test_tags_stream_mode_messages() -> None:
     ]
 
 
+async def test_configurable_propagates_to_stream_metadata() -> None:
+    """Regression: thread_id, run_id, assistant_id, graph_id,
+    and langgraph_auth_user_id from configurable must appear
+    in stream_mode='messages' metadata."""
+
+    def my_node(state):
+        return {"messages": HumanMessage(content="hello")}
+
+    graph = (
+        StateGraph(MessagesState)
+        .add_node("my_node", my_node)
+        .add_edge(START, "my_node")
+        .compile()
+    )
+
+    config = {
+        "configurable": {
+            "thread_id": "th-123",
+            "checkpoint_id": "ckpt-1",
+            "checkpoint_ns": "ns-1",
+            "task_id": "task-1",
+            "run_id": "run-456",
+            "assistant_id": "asst-789",
+            "graph_id": "graph-0",
+            "model": "gpt-4o",
+            "user_id": "uid-1",
+            "cron_id": "cron-1",
+            "langgraph_auth_user_id": "user-1",
+            # these should NOT be propagated into metadata
+            "some_api_key": "secret",
+            "custom_setting": {"nested": True},
+        },
+    }
+    results = [
+        chunk
+        async for chunk in graph.astream(
+            {"messages": []}, config, stream_mode="messages"
+        )
+    ]
+    assert len(results) == 1
+    _, metadata = results[0]
+    # propagated keys
+    assert metadata["thread_id"] == "th-123"
+    assert metadata["checkpoint_id"] == "ckpt-1"
+    assert metadata["checkpoint_ns"] == "ns-1"
+    assert metadata["task_id"] == "task-1"
+    assert metadata["run_id"] == "run-456"
+    assert metadata["assistant_id"] == "asst-789"
+    assert metadata["graph_id"] == "graph-0"
+
+    # These will only be traced as of langgraph 1.2 and not present by default in
+    # metadata
+    # assert metadata["model"] == "gpt-4o"
+    # assert metadata["user_id"] == "uid-1"
+    # assert metadata["cron_id"] == "cron-1"
+    # assert metadata["langgraph_auth_user_id"] == "user-1"
+    # non-allowlisted keys must not appear
+    assert "some_api_key" not in metadata
+    assert "custom_setting" not in metadata
+
+
 async def test_stream_mode_messages_command() -> None:
     from langchain_core.messages import HumanMessage
 

libs/langgraph/tests/test_rehydrate_sweep.py

@@ -0,0 +1,185 @@
+"""Sweep snapshot_every values to find the storage vs. time-travel tradeoff.
+
+Run directly:  python tests/test_rehydrate_sweep.py
+Run via pytest: pytest tests/test_rehydrate_sweep.py -s
+"""
+
+from __future__ import annotations
+
+import sys
+import time
+from typing import Annotated, Any
+
+from langchain_core.messages import AIMessage, HumanMessage
+from langgraph.checkpoint.memory import MemorySaver
+from typing_extensions import TypedDict
+
+from langgraph.channels.delta import DeltaChannel
+from langgraph.graph import END, StateGraph
+from langgraph.graph.message import add_messages
+
+# ---------------------------------------------------------------------------
+# Config
+# ---------------------------------------------------------------------------
+
+REHYDRATE_SWEEP = [5, 10, 25, 50, 100, None]  # None = no rehydration (pure diff)
+TURN_COUNTS = [50, 100, 250, 500]
+
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+
+def _make_state(snapshot_every: int | None) -> type:
+    channel = DeltaChannel(add_messages, snapshot_every=snapshot_every)
+    return TypedDict("S", {"messages": Annotated[list, channel]})
+
+
+def _make_graph(state_cls: type) -> Any:
+    def human_node(state: Any) -> dict:
+        return {}
+
+    def ai_node(state: Any) -> dict:
+        last = state["messages"][-1]
+        return {"messages": [AIMessage(content=f"reply-to-{last.id}")]}
+
+    g = StateGraph(state_cls)
+    g.add_node("human", human_node)
+    g.add_node("ai", ai_node)
+    g.add_edge("human", "ai")
+    g.add_edge("ai", END)
+    g.set_entry_point("human")
+    return g.compile(checkpointer=MemorySaver())
+
+
+def _total_blob_bytes(saver: MemorySaver) -> int:
+    total = 0
+    for (_, _, _, _), (type_tag, blob) in saver.blobs.items():
+        if blob is not None:
+            total += len(blob)
+    return total
+
+
+def _measure_time_travel_ms(graph: Any, config: dict) -> float:
+    """Time how long it takes to get state at the very first checkpoint (worst case)."""
+    history = list(graph.get_state_history(config))
+    if not history:
+        return 0.0
+    oldest = history[-1]
+    t0 = time.perf_counter()
+    graph.get_state(oldest.config)
+    return (time.perf_counter() - t0) * 1000
+
+
+def _run(n_turns: int, snapshot_every: int | None) -> tuple[float, int, float]:
+    """Returns (write_ms, blob_bytes, time_travel_ms)."""
+    state_cls = _make_state(snapshot_every)
+    graph = _make_graph(state_cls)
+    saver: MemorySaver = graph.checkpointer  # type: ignore[assignment]
+    config = {"configurable": {"thread_id": "sweep"}}
+
+    t0 = time.perf_counter()
+    for i in range(n_turns):
+        graph.invoke(
+            {"messages": [HumanMessage(content=f"msg-{i}", id=f"h{i}")]}, config
+        )
+    write_ms = (time.perf_counter() - t0) * 1000
+
+    blob_bytes = _total_blob_bytes(saver)
+    tt_ms = _measure_time_travel_ms(graph, config)
+    return write_ms, blob_bytes, tt_ms
+
+
+# ---------------------------------------------------------------------------
+# ASCII sparkline
+# ---------------------------------------------------------------------------
+
+
+def _sparkline(values: list[float], width: int = 20) -> str:
+    bars = " ▁▂▃▄▅▆▇█"
+    lo, hi = min(values), max(values)
+    span = hi - lo or 1
+    chars = [bars[round((v - lo) / span * (len(bars) - 1))] for v in values]
+    return "".join(chars).ljust(width)
+
+
+# ---------------------------------------------------------------------------
+# Main
+# ---------------------------------------------------------------------------
+
+
+def run_sweep() -> None:
+    label = {v: (str(v) if v is not None else "None(∞)") for v in REHYDRATE_SWEEP}
+
+    print()
+    print("snapshot_every sweep — storage vs time-travel cost")
+    print("=" * 90)
+
+    for turns in TURN_COUNTS:
+        print(f"\n--- {turns} turns ---")
+        col_w = 12
+        header = (
+            f"{'snapshot_every':>18}  "
+            f"{'blob_bytes':>{col_w}}  "
+            f"{'write_ms':>{col_w}}  "
+            f"{'time_travel_ms':>{col_w}}"
+        )
+        print(header)
+        print("-" * 60)
+
+        tt_vals: list[float] = []
+        byte_vals: list[int] = []
+        write_vals: list[float] = []
+        rows: list[tuple] = []
+
+        for rv in REHYDRATE_SWEEP:
+            write_ms, blob_bytes, tt_ms = _run(turns, rv)
+            rows.append((rv, blob_bytes, write_ms, tt_ms))
+            byte_vals.append(blob_bytes)
+            write_vals.append(write_ms)
+            tt_vals.append(tt_ms)
+
+        for rv, blob_bytes, write_ms, tt_ms in rows:
+            print(
+                f"{label[rv]:>18}  "
+                f"{blob_bytes:>{col_w},}  "
+                f"{write_ms:>{col_w}.1f}  "
+                f"{tt_ms:>{col_w}.2f}"
+            )
+
+        print()
+        print(
+            f"  bytes       spark: [{_sparkline(byte_vals)}]  "
+            f"lo={min(byte_vals):,}  hi={max(byte_vals):,}"
+        )
+        print(
+            f"  time-travel spark: [{_sparkline(tt_vals)}]  "
+            f"lo={min(tt_vals):.2f}ms  hi={max(tt_vals):.2f}ms"
+        )
+        print(
+            f"  write       spark: [{_sparkline(write_vals)}]  "
+            f"lo={min(write_vals):.1f}ms  hi={max(write_vals):.1f}ms"
+        )
+
+    print()
+    print("=" * 90)
+    print(
+        "snapshot_every=None means pure diff (no snapshots) — "
+        "lowest storage, highest time-travel cost."
+    )
+    print(
+        "Lower snapshot_every = more frequent full snapshots = "
+        "faster time-travel, more storage."
+    )
+    print()
+
+
+def test_rehydrate_sweep(capsys: Any) -> None:
+    with capsys.disabled():
+        run_sweep()
+
+
+if __name__ == "__main__":
+    run_sweep()
+    sys.exit(0)

libs/langgraph/tests/test_retry.py

@@ -1,12 +1,27 @@
+from collections import deque
 from unittest.mock import Mock, patch
 
 import pytest
+from langgraph.checkpoint.memory import MemorySaver
 from typing_extensions import TypedDict
 
+from langgraph._internal._constants import (
+    CONF,
+    CONFIG_KEY_CHECKPOINT_ID,
+    CONFIG_KEY_CHECKPOINT_NS,
+    CONFIG_KEY_RUNTIME,
+    CONFIG_KEY_TASK_ID,
+    CONFIG_KEY_THREAD_ID,
+)
 from langgraph.graph import START, StateGraph
-from langgraph.pregel._retry import _checkpoint_ns_for_parent_command, _should_retry_on
-from langgraph.runtime import Runtime
-from langgraph.types import RetryPolicy
+from langgraph.pregel._retry import (
+    _checkpoint_ns_for_parent_command,
+    _ensure_execution_info,
+    _should_retry_on,
+    run_with_retry,
+)
+from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
+from langgraph.types import PregelExecutableTask, RetryPolicy
 
 
 def test_should_retry_on_single_exception():
@@ -393,3 +408,162 @@ def test_graph_with_max_attempts_exceeded():
         graph.invoke({"foo": ""})
 
     mock_sleep.assert_called_with(0.01)
+
+
+def test_execution_info_identity_fields_populated_on_retry():
+    """Test that thread_id, task_id, run_id, etc. are populated in execution_info during retries."""
+
+    class State(TypedDict):
+        foo: str
+
+    attempt_count = 0
+    captured_infos: list[dict] = []
+
+    def failing_node(state: State, runtime: Runtime):
+        nonlocal attempt_count
+        attempt_count += 1
+        info = runtime.execution_info
+        captured_infos.append(
+            {
+                "thread_id": info.thread_id,
+                "run_id": info.run_id,
+                "node_attempt": info.node_attempt,
+                "node_first_attempt_time": info.node_first_attempt_time,
+                "checkpoint_ns": info.checkpoint_ns,
+            }
+        )
+        if attempt_count < 2:
+            raise ValueError("Intentional failure")
+        return {"foo": "success"}
+
+    retry_policy = RetryPolicy(
+        max_attempts=3,
+        initial_interval=0.01,
+        jitter=False,
+        retry_on=ValueError,
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("failing_node", failing_node, retry_policy=retry_policy)
+        .add_edge(START, "failing_node")
+        .compile(checkpointer=MemorySaver())
+    )
+
+    with patch("time.sleep"):
+        result = graph.invoke(
+            {"foo": ""},
+            config={"configurable": {"thread_id": "retry-thread"}},
+        )
+
+    assert result["foo"] == "success"
+    assert len(captured_infos) == 2
+
+    # Both attempts should have the same thread_id and first_attempt_time
+    assert captured_infos[0]["thread_id"] == "retry-thread"
+    assert captured_infos[1]["thread_id"] == "retry-thread"
+    assert (
+        captured_infos[0]["node_first_attempt_time"]
+        == captured_infos[1]["node_first_attempt_time"]
+    )
+
+    # node_attempt should increment
+    assert captured_infos[0]["node_attempt"] == 1
+    assert captured_infos[1]["node_attempt"] == 2
+
+
+def test_ensure_execution_info_noop_when_already_set():
+    """Test that _ensure_execution_info is a no-op when execution_info exists."""
+    existing_info = ExecutionInfo(
+        checkpoint_id="cp-1", checkpoint_ns="ns-1", task_id="task-1"
+    )
+    runtime = DEFAULT_RUNTIME.override(execution_info=existing_info)
+    config = {CONF: {CONFIG_KEY_THREAD_ID: "thread-1"}}
+    task = Mock(id="task-2")
+
+    result = _ensure_execution_info(runtime, config, task)
+    assert result is runtime
+    assert result.execution_info is existing_info
+
+
+def test_ensure_execution_info_creates_from_config():
+    """Test that _ensure_execution_info creates ExecutionInfo from config when missing."""
+    runtime = DEFAULT_RUNTIME.override(execution_info=None)
+    config = {
+        "run_id": "run-123",
+        CONF: {
+            CONFIG_KEY_CHECKPOINT_ID: "cp-42",
+            CONFIG_KEY_CHECKPOINT_NS: "ns-42",
+            CONFIG_KEY_TASK_ID: "task-42",
+            CONFIG_KEY_THREAD_ID: "thread-42",
+        },
+    }
+    task = Mock(id="fallback-task-id")
+
+    result = _ensure_execution_info(runtime, config, task)
+    assert result.execution_info is not None
+    assert result.execution_info.checkpoint_id == "cp-42"
+    assert result.execution_info.checkpoint_ns == "ns-42"
+    assert result.execution_info.task_id == "task-42"
+    assert result.execution_info.thread_id == "thread-42"
+    assert result.execution_info.run_id == "run-123"
+
+
+def test_ensure_execution_info_falls_back_to_task_id():
+    """Test that _ensure_execution_info uses task.id when CONFIG_KEY_TASK_ID is missing."""
+    runtime = DEFAULT_RUNTIME.override(execution_info=None)
+    config = {CONF: {}}
+    task = Mock(id="fallback-task-id")
+
+    result = _ensure_execution_info(runtime, config, task)
+    assert result.execution_info.task_id == "fallback-task-id"
+    assert result.execution_info.checkpoint_id == ""
+    assert result.execution_info.checkpoint_ns == ""
+
+
+def test_run_with_retry_creates_execution_info_when_missing():
+    """Test that run_with_retry works when runtime has no execution_info (distributed runtime scenario)."""
+    captured_infos: list[ExecutionInfo] = []
+
+    class FakeProc:
+        def invoke(self, input, config):
+            runtime = config[CONF][CONFIG_KEY_RUNTIME]
+            captured_infos.append(runtime.execution_info)
+            return input
+
+    runtime = DEFAULT_RUNTIME.override(execution_info=None)
+    config = {
+        "run_id": "run-abc",
+        CONF: {
+            CONFIG_KEY_RUNTIME: runtime,
+            CONFIG_KEY_CHECKPOINT_ID: "cp-99",
+            CONFIG_KEY_CHECKPOINT_NS: "__start__:task123",
+            CONFIG_KEY_TASK_ID: "task123",
+            CONFIG_KEY_THREAD_ID: "thread-xyz",
+        },
+    }
+
+    task = PregelExecutableTask(
+        name="__start__",
+        input={"messages": []},
+        proc=FakeProc(),
+        writes=deque(),
+        config=config,
+        triggers=["__start__"],
+        retry_policy=[],
+        cache_key=None,
+        id="task123",
+        path=("__pregel_pull", "__start__"),
+    )
+
+    run_with_retry(task, retry_policy=None)
+
+    assert len(captured_infos) == 1
+    info = captured_infos[0]
+    assert info.checkpoint_id == "cp-99"
+    assert info.checkpoint_ns == "__start__:task123"
+    assert info.task_id == "task123"
+    assert info.thread_id == "thread-xyz"
+    assert info.run_id == "run-abc"
+    assert info.node_attempt == 1
+    assert info.node_first_attempt_time is not None

libs/langgraph/tests/test_runtime.py

@@ -2,11 +2,12 @@ from dataclasses import dataclass
 from typing import Any
 
 import pytest
+from langgraph.checkpoint.memory import MemorySaver
 from pydantic import BaseModel, ValidationError
 from typing_extensions import TypedDict
 
 from langgraph.graph import END, START, StateGraph
-from langgraph.runtime import Runtime, get_runtime
+from langgraph.runtime import ExecutionInfo, Runtime, ServerInfo, get_runtime
 
 
 def test_injected_runtime() -> None:
@@ -389,3 +390,262 @@ def test_context_coercion_pydantic_validation_errors() -> None:
         compiled.invoke(
             {"message": "test"}, context={"api_key": "sk_test", "timeout": "not_an_int"}
         )
+
+
+# --- ExecutionInfo unit tests ---
+
+
+def test_execution_info_defaults_and_patch() -> None:
+    info = ExecutionInfo(checkpoint_id="c1", checkpoint_ns="ns1", task_id="t1")
+    assert info.checkpoint_id == "c1"
+    assert info.checkpoint_ns == "ns1"
+    assert info.task_id == "t1"
+    assert info.thread_id is None
+    assert info.run_id is None
+    assert info.node_attempt == 1
+    assert info.node_first_attempt_time is None
+
+    # patch returns new instance, original unchanged
+    patched = info.patch(thread_id="th1", node_attempt=3, task_id="tk1")
+    assert patched.thread_id == "th1"
+    assert patched.node_attempt == 3
+    assert patched.task_id == "tk1"
+    assert info.node_attempt == 1
+    assert info.task_id == "t1"
+
+    # frozen
+    with pytest.raises(AttributeError):
+        info.thread_id = "t2"  # type: ignore[misc]
+
+
+# --- ServerInfo / Runtime unit tests ---
+
+
+def test_server_info_and_runtime_merge() -> None:
+    si = ServerInfo(assistant_id="asst-1", graph_id="graph-1")
+    assert si.assistant_id == "asst-1"
+    assert si.user is None
+
+    # frozen
+    with pytest.raises(AttributeError):
+        si.assistant_id = "asst-2"  # type: ignore[misc]
+
+    # runtime default is None
+    assert Runtime().server_info is None
+
+    # merge preserves server_info from self when other has None
+    r1 = Runtime(server_info=si)
+    merged = r1.merge(Runtime())
+    assert merged.server_info is si
+
+    # merge takes server_info from other when present
+    si2 = ServerInfo(assistant_id="asst-2", graph_id="graph-2")
+    merged2 = r1.merge(Runtime(server_info=si2))
+    assert merged2.server_info is si2
+
+
+# --- Integration tests ---
+
+
+def _make_capture_graph(
+    capture: dict[str, Any],
+    *,
+    checkpointer: Any = None,
+) -> Any:
+    """Helper: build a simple graph that captures runtime info."""
+
+    class State(TypedDict):
+        message: str
+
+    def capture_node(state: State, runtime: Runtime) -> dict[str, Any]:
+        capture["execution_info"] = runtime.execution_info
+        capture["server_info"] = runtime.server_info
+        return {"message": "done"}
+
+    graph = StateGraph(state_schema=State)
+    graph.add_node("capture", capture_node)
+    graph.add_edge(START, "capture")
+    graph.add_edge("capture", END)
+    return graph.compile(checkpointer=checkpointer)
+
+
+def test_execution_info_populated_in_graph() -> None:
+    """execution_info fields are populated when running with a checkpointer."""
+    captured: dict[str, Any] = {}
+    compiled = _make_capture_graph(captured, checkpointer=MemorySaver())
+    compiled.invoke(
+        {"message": "hi"},
+        config={"configurable": {"thread_id": "t-123"}},
+    )
+    info = captured["execution_info"]
+    assert info.thread_id == "t-123"
+    assert info.task_id is not None
+    assert info.checkpoint_id is not None
+    assert info.checkpoint_ns is not None
+    assert info.node_attempt == 1
+    assert isinstance(info.node_first_attempt_time, float)
+
+
+@pytest.mark.anyio
+async def test_execution_info_populated_in_graph_async() -> None:
+    """execution_info fields are populated in async execution."""
+    captured: dict[str, Any] = {}
+    compiled = _make_capture_graph(captured, checkpointer=MemorySaver())
+    await compiled.ainvoke(
+        {"message": "hi"},
+        config={"configurable": {"thread_id": "t-xyz"}},
+    )
+    info = captured["execution_info"]
+    assert info.thread_id == "t-xyz"
+    assert info.node_attempt == 1
+    assert isinstance(info.node_first_attempt_time, float)
+
+
+def test_server_info_from_configurable() -> None:
+    """server_info is built from assistant_id/graph_id in config configurable."""
+    captured: dict[str, Any] = {}
+    compiled = _make_capture_graph(captured)
+    compiled.invoke(
+        {"message": "hi"},
+        config={"configurable": {"assistant_id": "asst-abc", "graph_id": "my-graph"}},
+    )
+    si = captured["server_info"]
+    assert si is not None
+    assert si.assistant_id == "asst-abc"
+    assert si.graph_id == "my-graph"
+    assert si.user is None
+
+
+def test_server_info_none_without_configurable() -> None:
+    """server_info is None when no assistant_id/graph_id in configurable."""
+    captured: dict[str, Any] = {}
+    compiled = _make_capture_graph(captured)
+    compiled.invoke({"message": "hi"})
+    assert captured["server_info"] is None
+
+
+def test_server_info_user_from_auth_user() -> None:
+    """server_info.user is populated from configurable['langgraph_auth_user'].
+
+    Tests both a proper BaseUser protocol object and a starlette-style proxy
+    that provides `permissions` via __getattr__ (which the Protocol isinstance
+    check may not see).
+    """
+
+    class _ProxyUser:
+        """Mimics langgraph_api's ProxyUser: identity/display_name as properties,
+        permissions via __getattr__."""
+
+        def __init__(self, data: dict[str, Any]) -> None:
+            self._data = data
+
+        @property
+        def identity(self) -> str:
+            return self._data["identity"]
+
+        @property
+        def display_name(self) -> str:
+            return self._data.get("display_name", self.identity)
+
+        @property
+        def is_authenticated(self) -> bool:
+            return True
+
+        def __getattr__(self, name: str) -> Any:
+            return self._data[name]
+
+        def __getitem__(self, key: str) -> Any:
+            return self._data[key]
+
+        def __contains__(self, key: str) -> bool:
+            return key in self._data
+
+        def __iter__(self) -> Any:
+            return iter(self._data)
+
+    proxy = _ProxyUser(
+        {
+            "identity": "proxy-user",
+            "display_name": "Proxy User",
+            "is_authenticated": True,
+            "permissions": ["read"],
+        }
+    )
+    assert not isinstance(proxy, dict)
+    assert hasattr(proxy, "identity")
+
+    captured: dict[str, Any] = {}
+    compiled = _make_capture_graph(captured)
+    compiled.invoke(
+        {"message": "hi"},
+        config={
+            "configurable": {
+                "langgraph_auth_user": proxy,
+                "assistant_id": "asst-proxy",
+                "graph_id": "graph-proxy",
+            },
+        },
+    )
+    si = captured["server_info"]
+    assert si is not None
+    assert si.assistant_id == "asst-proxy"
+    assert si.user is not None
+    assert si.user.identity == "proxy-user"
+    assert si.user["display_name"] == "Proxy User"
+
+
+def test_execution_info_inherited_by_subgraph() -> None:
+    """execution_info is correctly populated for subgraph nodes, including namespace."""
+    captured_main: dict[str, Any] = {}
+    captured_sub: dict[str, Any] = {}
+
+    class State(TypedDict, total=False):
+        message: str
+
+    def subgraph_node(state: State, runtime: Runtime) -> dict[str, str]:
+        captured_sub["execution_info"] = runtime.execution_info
+        return {"message": "from_sub"}
+
+    subgraph_builder = StateGraph(State)
+    subgraph_builder.add_node("sub_node", subgraph_node)
+    subgraph_builder.add_edge(START, "sub_node")
+    subgraph = subgraph_builder.compile()
+
+    def main_node(state: State, runtime: Runtime) -> dict[str, str]:
+        captured_main["execution_info"] = runtime.execution_info
+        return {"message": "from_main"}
+
+    builder = StateGraph(State)
+    builder.add_node("main_node", main_node)
+    builder.add_node("subgraph", subgraph)
+    builder.add_edge(START, "main_node")
+    builder.add_edge("main_node", "subgraph")
+    graph = builder.compile(checkpointer=MemorySaver())
+
+    graph.invoke(
+        {"message": "hi"},
+        config={"configurable": {"thread_id": "sub-thread"}},
+    )
+
+    main_info = captured_main["execution_info"]
+    sub_info = captured_sub["execution_info"]
+
+    # Both share the same thread_id
+    assert main_info.thread_id == "sub-thread"
+    assert sub_info.thread_id == "sub-thread"
+
+    # Both have node_attempt = 1
+    assert main_info.node_attempt == 1
+    assert sub_info.node_attempt == 1
+
+    # Main namespace is "main_node:<task_id>" (top-level, no separator)
+    assert main_info.checkpoint_ns.startswith("main_node:")
+    assert "|" not in main_info.checkpoint_ns
+
+    # Subgraph namespace is "subgraph:<task_id>|sub_node:<task_id>" (nested)
+    assert sub_info.checkpoint_ns.startswith("subgraph:")
+    assert "|sub_node:" in sub_info.checkpoint_ns
+
+    # task_id appears in its own namespace segment
+    assert main_info.task_id in main_info.checkpoint_ns
+    assert sub_info.task_id in sub_info.checkpoint_ns

libs/langgraph/tests/test_time_travel.py

@@ -37,6 +37,7 @@ def _checkpoint_summary(history: list) -> list[dict]:
     Returns a list of dicts (newest-first, matching get_state_history order) with:
       - id: short checkpoint id suffix (last 6 chars)
       - parent_id: short parent checkpoint id suffix or None
+      - source: checkpoint metadata source (input, loop, fork, update)
       - next: tuple of next node names
       - values: channel values snapshot
     """
@@ -52,6 +53,7 @@ def _checkpoint_summary(history: list) -> list[dict]:
             {
                 "id": cid[-6:],
                 "parent_id": pid[-6:] if pid else None,
+                "source": s.metadata.get("source"),
                 "next": s.next,
                 "values": s.values,
             }
@@ -280,6 +282,116 @@ def test_replay_from_before_interrupt_refires(
     assert call_count["node_b"] == 1  # NOT re-executed (after interrupt)
 
 
+def test_replay_from_before_interrupt_then_resume(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Replay from checkpoint before interrupt node, then resume with a new
+    answer and verify the graph completes with the new value.
+
+    Graph: START --> node_a --> ask_human (interrupt) --> node_b --> END
+
+    Original run:
+      source=input  next=(__start__,)  values=[]
+      source=loop   next=(node_a,)     values=[]
+      source=loop   next=(ask_human,)  values=[a]            <-- replay from here
+      source=loop   next=(node_b,)     values=[a, human:old_answer]
+      source=loop   next=()            values=[a, human:old_answer, b]
+
+    After replay (fork created) + resume with "new_answer":
+      source=input  next=(__start__,)  values=[]
+      source=loop   next=(node_a,)     values=[]
+      source=loop   next=(ask_human,)  values=[a]            <-- branch point
+      source=loop   next=(node_b,)     values=[a, human:old_answer]
+      source=loop   next=()            values=[a, human:old_answer, b]  (old branch)
+      source=fork   next=(ask_human,)  values=[a]            <-- fork from branch point
+      source=loop   next=(node_b,)     values=[a, human:new_answer]
+      source=loop   next=()            values=[a, human:new_answer, b]  (new branch)
+    """
+
+    called: list[str] = []
+
+    def node_a(state: State) -> State:
+        called.append("node_a")
+        return {"value": ["a"]}
+
+    def ask_human(state: State) -> State:
+        called.append("ask_human")
+        answer = interrupt("What is your input?")
+        return {"value": [f"human:{answer}"]}
+
+    def node_b(state: State) -> State:
+        called.append("node_b")
+        return {"value": ["b"]}
+
+    graph = (
+        StateGraph(State)
+        .add_node("node_a", node_a)
+        .add_node("ask_human", ask_human)
+        .add_node("node_b", node_b)
+        .add_edge(START, "node_a")
+        .add_edge("node_a", "ask_human")
+        .add_edge("ask_human", "node_b")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # --- Original run: invoke until interrupt, then resume to complete ---
+    graph.invoke({"value": []}, config)
+    graph.invoke(Command(resume="old_answer"), config)
+
+    original_history = list(graph.get_state_history(config))
+    original = _checkpoint_summary(original_history)
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["a", "human:old_answer", "b"]}),
+        ("loop", ("node_b",), {"value": ["a", "human:old_answer"]}),
+        ("loop", ("ask_human",), {"value": ["a"]}),
+        ("loop", ("node_a",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # --- Replay from checkpoint before ask_human ---
+    before_ask = next(s for s in original_history if s.next == ("ask_human",))
+
+    called.clear()
+    replay_result = graph.invoke(None, before_ask.config)
+    assert replay_result["__interrupt__"][0].value == "What is your input?"
+    assert "ask_human" in called
+    assert "node_a" not in called  # before the replay point, not re-executed
+
+    # A fork checkpoint is now the latest — it branches from the replay point
+    post_replay = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"]) for s in post_replay] == [
+        ("fork", ("ask_human",)),  # <-- new fork (latest)
+        ("loop", ()),  # original done
+        ("loop", ("node_b",)),
+        ("loop", ("ask_human",)),  # branch point
+        ("loop", ("node_a",)),
+        ("input", ("__start__",)),
+    ]
+
+    # --- Resume with a new answer ---
+    called.clear()
+    final_result = graph.invoke(Command(resume="new_answer"), config)
+    assert final_result["value"] == ["a", "human:new_answer", "b"]
+    assert "ask_human" in called
+    assert "node_b" in called
+
+    final = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch (from fork)
+        ("loop", (), {"value": ["a", "human:new_answer", "b"]}),
+        ("loop", ("node_b",), {"value": ["a", "human:new_answer"]}),
+        ("fork", ("ask_human",), {"value": ["a"]}),
+        # Original branch (preserved)
+        ("loop", (), {"value": ["a", "human:old_answer", "b"]}),
+        ("loop", ("node_b",), {"value": ["a", "human:old_answer"]}),
+        ("loop", ("ask_human",), {"value": ["a"]}),
+        ("loop", ("node_a",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
 def test_replay_interrupt_stable_across_replays(
     sync_checkpointer: BaseCheckpointSaver,
 ) -> None:
@@ -320,8 +432,14 @@ def test_replay_interrupt_stable_across_replays(
         r = graph.invoke(None, before_ask.config)
         results.append(r)
 
-    assert all(r == results[0] for r in results)
-    assert "__interrupt__" in results[0]
+    # Each replay creates a fork with a unique interrupt ID, so we compare
+    # interrupt values and state values rather than full equality.
+    assert all("__interrupt__" in r for r in results)
+    assert all(
+        r["__interrupt__"][0].value == results[0]["__interrupt__"][0].value
+        for r in results
+    )
+    assert all(r["value"] == results[0]["value"] for r in results)
 
 
 def test_fork_from_before_interrupt_refires(
@@ -854,6 +972,290 @@ def test_subgraph_interrupt_replay_from_interrupt_checkpoint(
     assert "step_b" not in called
 
 
+def test_subgraph_interrupt_replay_from_parent_then_resume(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Replay from the parent checkpoint where a subgraph interrupt fired,
+    then resume with a new answer. Verifies that a fork is created and the
+    full graph completes. Checks full checkpoint history at each stage."""
+
+    called: list[str] = []
+
+    def router(state: State) -> State:
+        called.append("router")
+        return {"value": ["routed"]}
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["sub_a"]}
+
+    def ask_human(state: State) -> State:
+        called.append("ask_human")
+        answer = interrupt("Provide input:")
+        return {"value": [f"human:{answer}"]}
+
+    def step_b(state: State) -> State:
+        called.append("step_b")
+        return {"value": ["sub_b"]}
+
+    subgraph = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_human", ask_human)
+        .add_node("step_b", step_b)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_human")
+        .add_edge("ask_human", "step_b")
+        .compile(checkpointer=True)
+    )
+
+    def post_process(state: State) -> State:
+        called.append("post_process")
+        return {"value": ["post"]}
+
+    graph = (
+        StateGraph(State)
+        .add_node("router", router)
+        .add_node("subgraph_node", subgraph)
+        .add_node("post_process", post_process)
+        .add_edge(START, "router")
+        .add_edge("router", "subgraph_node")
+        .add_edge("subgraph_node", "post_process")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until interrupt, then resume to complete
+    graph.invoke({"value": []}, config)
+    graph.invoke(Command(resume="old_answer"), config)
+
+    # Original parent history (newest first)
+    original_history = list(graph.get_state_history(config))
+    assert [s.next for s in original_history] == [
+        (),  # done
+        ("post_process",),
+        ("subgraph_node",),  # subgraph ran, interrupt fired here
+        ("router",),
+        ("__start__",),
+    ]
+
+    # Find the parent checkpoint where the interrupt fired
+    interrupt_checkpoint = next(
+        s for s in original_history if s.next == ("subgraph_node",)
+    )
+
+    # Replay from parent checkpoint — subgraph re-executes, interrupt re-fires
+    called.clear()
+    replay_result = graph.invoke(None, interrupt_checkpoint.config)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Provide input:"
+    assert "step_a" in called
+    assert "ask_human" in called
+    assert "step_b" not in called
+
+    # Verify fork checkpoint was created
+    post_replay_history = list(graph.get_state_history(config))
+    assert [s.next for s in post_replay_history] == [
+        ("subgraph_node",),  # fork (interrupt pending)
+        (),  # original done
+        ("post_process",),
+        ("subgraph_node",),
+        ("router",),
+        ("__start__",),
+    ]
+    assert [s.metadata["source"] for s in post_replay_history] == [
+        "fork",
+        "loop",
+        "loop",
+        "loop",
+        "loop",
+        "input",
+    ]
+    fork = post_replay_history[0]
+    assert (
+        fork.parent_config["configurable"]["checkpoint_id"]
+        == interrupt_checkpoint.config["configurable"]["checkpoint_id"]
+    )
+
+    # Resume with a new answer — full graph should complete
+    called.clear()
+    final_result = graph.invoke(Command(resume="new_answer"), config)
+    assert "__interrupt__" not in final_result
+    assert "human:new_answer" in final_result["value"]
+    assert "sub_b" in final_result["value"]
+    assert "post" in final_result["value"]
+    assert "ask_human" in called
+    assert "step_b" in called
+    assert "post_process" in called
+
+    # Final checkpoint history
+    final_history = list(graph.get_state_history(config))
+    assert [s.next for s in final_history] == [
+        (),  # new branch done
+        ("post_process",),  # new branch post_process
+        ("subgraph_node",),  # fork
+        (),  # original done
+        ("post_process",),
+        ("subgraph_node",),
+        ("router",),
+        ("__start__",),
+    ]
+    assert [s.metadata["source"] for s in final_history] == [
+        "loop",
+        "loop",
+        "fork",
+        "loop",
+        "loop",
+        "loop",
+        "loop",
+        "input",
+    ]
+
+
+def test_subgraph_replay_loads_accumulated_state_then_resume(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Two parent invocations, then replay from before the subgraph in the
+    2nd invocation. The subgraph (checkpointer=True) should load its
+    accumulated state from the 1st invocation via ReplayState, re-fire
+    the interrupt, and then resume + complete.
+
+    This tests the ReplayState path: the parent is replaying and the
+    subgraph uses list(before=parent_checkpoint_id) to find its
+    corresponding checkpoint from the original execution.
+    """
+
+    class SubState(TypedDict):
+        value: Annotated[list[str], operator.add]
+
+    class ParentState(TypedDict):
+        results: Annotated[list[str], operator.add]
+
+    started_state: list[dict] = []
+
+    def step_a(state: SubState) -> SubState:
+        started_state.append(dict(state))
+        answer = interrupt("question_a")
+        return {"value": [f"a:{answer}"]}
+
+    subgraph = (
+        StateGraph(SubState)
+        .add_node("step_a", step_a)
+        .add_edge(START, "step_a")
+        .compile(checkpointer=True)
+    )
+
+    def parent_node(state: ParentState) -> ParentState:
+        return {"results": ["p"]}
+
+    graph = (
+        StateGraph(ParentState)
+        .add_node("parent_node", parent_node)
+        .add_node("sub_node", subgraph)
+        .add_edge(START, "parent_node")
+        .add_edge("parent_node", "sub_node")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # === 1st invocation: complete with answer "a1" ===
+    graph.invoke({"results": []}, config)
+    graph.invoke(Command(resume="a1"), config)
+
+    # step_a saw empty state (fresh subgraph)
+    assert started_state[0] == {"value": []}
+
+    # === 2nd invocation: complete with answer "a2" ===
+    started_state.clear()
+    graph.invoke({"results": []}, config)
+    graph.invoke(Command(resume="a2"), config)
+
+    # Stateful subgraph retained state from 1st invocation
+    assert started_state[0] == {"value": ["a:a1"]}
+
+    # Original history (newest first)
+    original_history = list(graph.get_state_history(config))
+    assert [s.next for s in original_history] == [
+        (),  # 2nd done
+        ("sub_node",),  # 2nd sub_node
+        ("parent_node",),  # 2nd parent_node
+        ("__start__",),  # 2nd input
+        (),  # 1st done
+        ("sub_node",),  # 1st sub_node
+        ("parent_node",),  # 1st parent_node
+        ("__start__",),  # 1st input
+    ]
+
+    # Replay from before sub_node in 2nd invocation (newest match)
+    before_sub_2nd = [s for s in original_history if s.next == ("sub_node",)][0]
+    started_state.clear()
+    replay = graph.invoke(None, before_sub_2nd.config)
+    assert "__interrupt__" in replay
+
+    # Subgraph should see accumulated state from END of 1st invocation
+    assert started_state[0] == {"value": ["a:a1"]}
+
+    # Verify fork was created
+    post_replay_history = list(graph.get_state_history(config))
+    assert [s.next for s in post_replay_history] == [
+        ("sub_node",),  # fork (interrupt pending)
+        (),  # 2nd done
+        ("sub_node",),  # 2nd sub_node
+        ("parent_node",),  # 2nd parent_node
+        ("__start__",),  # 2nd input
+        (),  # 1st done
+        ("sub_node",),  # 1st sub_node
+        ("parent_node",),  # 1st parent_node
+        ("__start__",),  # 1st input
+    ]
+    assert [s.metadata["source"] for s in post_replay_history] == [
+        "fork",
+        "loop",
+        "loop",
+        "loop",
+        "input",
+        "loop",
+        "loop",
+        "loop",
+        "input",
+    ]
+
+    # Resume with a new answer
+    started_state.clear()
+    final = graph.invoke(Command(resume="a3"), config)
+    assert "__interrupt__" not in final
+    assert final["results"] == ["p", "p"]
+
+    # Final history
+    final_history = list(graph.get_state_history(config))
+    assert [s.next for s in final_history] == [
+        (),  # new branch done
+        ("sub_node",),  # fork
+        (),  # 2nd done
+        ("sub_node",),  # 2nd sub_node
+        ("parent_node",),  # 2nd parent_node
+        ("__start__",),  # 2nd input
+        (),  # 1st done
+        ("sub_node",),  # 1st sub_node
+        ("parent_node",),  # 1st parent_node
+        ("__start__",),  # 1st input
+    ]
+    assert [s.metadata["source"] for s in final_history] == [
+        "loop",
+        "fork",
+        "loop",
+        "loop",
+        "loop",
+        "input",
+        "loop",
+        "loop",
+        "loop",
+        "input",
+    ]
+
+
 def test_subgraph_interrupt_full_flow(
     sync_checkpointer: BaseCheckpointSaver,
 ) -> None:
@@ -1290,6 +1692,321 @@ def test_subgraph_time_travel_to_second_interrupt(
     assert "ask_1" not in called
 
 
+def test_subgraph_time_travel_resume_from_first_interrupt(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint at the first interrupt, then
+    resume through both interrupts with new answers.
+
+    This verifies the key bug fix: after time-traveling to a subgraph
+    checkpoint with an interrupt, a fork checkpoint is created so that
+    subsequent resumes find the correct state (not the old branch tip).
+
+    Parent:    START --> executor (subgraph, checkpointer=True) --> END
+    Executor:  START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+
+    Parent history after original run completes:
+      source=input  next=(__start__,)   values=[]
+      source=loop   next=(executor,)    values=[]
+      source=loop   next=()             values=[step_a_done, ask_1:answer_1, ask_2:answer_2]
+
+    After time-traveling to 1st interrupt + resuming with new answers:
+      source=input  next=(__start__,)   values=[]
+      source=loop   next=(executor,)    values=[]          <-- branch point
+      source=loop   next=()             values=[..., ask_2:answer_2]  (old branch)
+      source=fork   next=(executor,)    values=[]          <-- fork from time travel
+      source=loop   next=()             values=[..., ask_2:new_answer_2]  (new branch)
+    """
+
+    called: list[str] = []
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # --- Original run: hit both interrupts and resume ---
+    graph.invoke({"value": []}, config)
+    sub_config_at_first = graph.get_state(config, subgraphs=True).tasks[0].state.config
+    graph.invoke(Command(resume="answer_1"), config)
+    graph.invoke(Command(resume="answer_2"), config)
+
+    original = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # --- Time travel to first interrupt's subgraph checkpoint ---
+    called.clear()
+    replay_result = graph.invoke(None, sub_config_at_first)
+    assert replay_result["__interrupt__"][0].value == "Question 1?"
+    assert "step_a" not in called  # before interrupt, not re-executed
+
+    # Fork is now the latest parent checkpoint
+    post_tt = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"]) for s in post_tt] == [
+        ("fork", ("executor",)),  # <-- new fork (latest)
+        ("loop", ()),  # original done
+        ("loop", ("executor",)),
+        ("input", ("__start__",)),
+    ]
+
+    # --- Resume both interrupts with new answers ---
+    called.clear()
+    resume_1 = graph.invoke(Command(resume="new_answer_1"), config)
+    assert resume_1["__interrupt__"][0].value == "Question 2?"
+    assert "ask_1" in called
+
+    called.clear()
+    resume_2 = graph.invoke(Command(resume="new_answer_2"), config)
+    assert resume_2["value"] == [
+        "step_a_done",
+        "ask_1:new_answer_1",
+        "ask_2:new_answer_2",
+    ]
+
+    # Verify final history: original branch preserved, new branch appended
+    final = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch (from time travel fork)
+        (
+            "loop",
+            (),
+            {"value": ["step_a_done", "ask_1:new_answer_1", "ask_2:new_answer_2"]},
+        ),
+        ("fork", ("executor",), {"value": []}),
+        # Original branch (preserved)
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
+def test_subgraph_time_travel_resume_from_second_interrupt(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint at the second interrupt, then
+    resume with a new answer. The first interrupt's answer should be preserved.
+
+    Parent:    START --> executor (subgraph, checkpointer=True) --> END
+    Executor:  START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+
+    Key assertion: after resuming from a time-travel to the 2nd interrupt,
+    the final state keeps ask_1's original answer but uses the new ask_2 answer.
+    """
+
+    called: list[str] = []
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # --- Original run: hit both interrupts and resume ---
+    graph.invoke({"value": []}, config)
+    graph.invoke(Command(resume="answer_1"), config)
+    sub_config_at_second = graph.get_state(config, subgraphs=True).tasks[0].state.config
+    graph.invoke(Command(resume="answer_2"), config)
+
+    original = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # --- Time travel to second interrupt ---
+    called.clear()
+    replay_result = graph.invoke(None, sub_config_at_second)
+    assert replay_result["__interrupt__"][0].value == "Question 2?"
+    assert "step_a" not in called
+    assert "ask_1" not in called  # already resolved, not re-executed
+
+    # Fork is now the latest parent checkpoint
+    post_tt = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"]) for s in post_tt] == [
+        ("fork", ("executor",)),  # <-- new fork (latest)
+        ("loop", ()),  # original done
+        ("loop", ("executor",)),
+        ("input", ("__start__",)),
+    ]
+
+    # --- Resume with a new answer for ask_2 only ---
+    called.clear()
+    resume_result = graph.invoke(Command(resume="new_answer_2"), config)
+    # ask_1's original answer preserved, ask_2 uses the new answer
+    assert resume_result["value"] == [
+        "step_a_done",
+        "ask_1:answer_1",
+        "ask_2:new_answer_2",
+    ]
+
+    # Verify final history: original branch preserved, new branch appended
+    final = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch (from time travel fork)
+        (
+            "loop",
+            (),
+            {"value": ["step_a_done", "ask_1:answer_1", "ask_2:new_answer_2"]},
+        ),
+        ("fork", ("executor",), {"value": []}),
+        # Original branch (preserved)
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
+def test_subgraph_time_travel_checkpoint_pattern(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Verify the checkpoint pattern created by time travel to a subgraph
+    interrupt. A fork checkpoint should branch from the replay point and
+    become the latest parent checkpoint.
+
+    Parent:    START --> executor (subgraph, checkpointer=True) --> END
+    Executor:  START --> ask (interrupt) --> END
+
+    Original run (after completing):
+      source=input  next=(__start__,)  values=[]
+      source=loop   next=(executor,)   values=[]          <-- replay point
+      source=loop   next=()            values=[a:first]
+
+    After time travel to interrupt + resume with "second":
+      source=input  next=(__start__,)  values=[]
+      source=loop   next=(executor,)   values=[]          <-- branch point
+      source=loop   next=()            values=[a:first]   (old branch)
+      source=fork   next=(executor,)   values=[]          <-- fork
+      source=loop   next=()            values=[a:second]  (new branch)
+    """
+
+    def ask(state: State) -> State:
+        answer = interrupt("Q?")
+        return {"value": [f"a:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("ask", ask)
+        .add_edge(START, "ask")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until interrupt, then complete
+    graph.invoke({"value": []}, config)
+    sub_config = graph.get_state(config, subgraphs=True).tasks[0].state.config
+    graph.invoke(Command(resume="first"), config)
+
+    original = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["a:first"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # Time travel to the interrupt
+    graph.invoke(None, sub_config)
+
+    # Fork is now the latest, branching from the original replay point
+    post_tt = list(graph.get_state_history(config))
+    post_tt_summary = _checkpoint_summary(post_tt)
+    assert [(s["source"], s["next"]) for s in post_tt_summary] == [
+        ("fork", ("executor",)),  # <-- new fork (latest)
+        ("loop", ()),
+        ("loop", ("executor",)),  # <-- replay point / fork parent
+        ("input", ("__start__",)),
+    ]
+    # Verify the fork's parent is the original replay point
+    replay_point_id = sub_config["configurable"]["checkpoint_map"][""]
+    assert post_tt[0].parent_config["configurable"]["checkpoint_id"] == replay_point_id
+
+    # Resume from the fork — graph completes with new answer
+    result = graph.invoke(Command(resume="second"), config)
+    assert result["value"] == ["a:second"]
+
+    final = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch
+        ("loop", (), {"value": ["a:second"]}),
+        ("fork", ("executor",), {"value": []}),
+        # Original branch
+        ("loop", (), {"value": ["a:first"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
 def test_subgraph_time_travel_after_completion(
     sync_checkpointer: BaseCheckpointSaver,
 ) -> None:
@@ -2283,14 +3000,16 @@ def test_replay_creates_branch_preserving_old_checkpoints(
     # -- Post-replay checkpoint history (newest first) --
     post_replay_history = list(graph.get_state_history(config))
     post_summary = _checkpoint_summary(post_replay_history)
-    assert len(post_summary) == 7  # 5 original + 2 new branch checkpoints
+    # 5 original + 1 fork + 2 new branch checkpoints = 8
+    assert len(post_summary) == 8
 
     # Verify the full shape after replay
     assert [s["next"] for s in post_summary] == [
-        (),  # new branch tip (C6)
-        ("node_c",),  # new branch (C5)
-        (),  # old branch tip (C4)
-        ("node_c",),  # old (C3)
+        (),  # new branch tip
+        ("node_c",),  # new branch
+        ("node_b",),  # fork from replay point
+        (),  # old branch tip
+        ("node_c",),  # old
         ("node_b",),  # branch point (C2)
         ("node_a",),  # old (C1)
         ("__start__",),  # old (C0)
@@ -2298,6 +3017,7 @@ def test_replay_creates_branch_preserving_old_checkpoints(
     assert [s["values"] for s in post_summary] == [
         {"value": ["a", "b2", "c"]},  # new branch tip
         {"value": ["a", "b2"]},  # new: node_b re-ran with call_count=2
+        {"value": ["a"]},  # fork from replay point
         {"value": ["a", "b1", "c"]},  # old branch tip preserved
         {"value": ["a", "b1"]},  # old
         {"value": ["a"]},  # branch point

libs/langgraph/tests/test_time_travel_async.py

@@ -46,6 +46,7 @@ def _checkpoint_summary(history: list) -> list[dict]:
     Returns a list of dicts (newest-first, matching get_state_history order) with:
       - id: short checkpoint id suffix (last 6 chars)
       - parent_id: short parent checkpoint id suffix or None
+      - source: checkpoint metadata source (input, loop, fork, update)
       - next: tuple of next node names
       - values: channel values snapshot
     """
@@ -61,6 +62,7 @@ def _checkpoint_summary(history: list) -> list[dict]:
             {
                 "id": cid[-6:],
                 "parent_id": pid[-6:] if pid else None,
+                "source": s.metadata.get("source"),
                 "next": s.next,
                 "values": s.values,
             }
@@ -335,8 +337,14 @@ async def test_replay_interrupt_stable_across_replays(
         r = await graph.ainvoke(None, before_ask.config)
         results.append(r)
 
-    assert all(r == results[0] for r in results)
-    assert "__interrupt__" in results[0]
+    # Each replay creates a fork with a unique interrupt ID, so we compare
+    # interrupt values and state values rather than full equality.
+    assert all("__interrupt__" in r for r in results)
+    assert all(
+        r["__interrupt__"][0].value == results[0]["__interrupt__"][0].value
+        for r in results
+    )
+    assert all(r["value"] == results[0]["value"] for r in results)
 
 
 @NEEDS_CONTEXTVARS
@@ -1261,6 +1269,391 @@ async def test_subgraph_time_travel_after_completion_async(
     assert "ask_2:answer_2" in replay_result["value"]
 
 
+@NEEDS_CONTEXTVARS
+async def test_replay_from_before_interrupt_then_resume_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Replay from checkpoint before interrupt node, then resume with a new
+    answer and verify the graph completes with the new value.
+
+    Graph: START --> node_a --> ask_human (interrupt) --> node_b --> END
+    """
+
+    called: list[str] = []
+
+    async def node_a(state: State) -> State:
+        called.append("node_a")
+        return {"value": ["a"]}
+
+    async def ask_human(state: State) -> State:
+        called.append("ask_human")
+        answer = interrupt("What is your input?")
+        return {"value": [f"human:{answer}"]}
+
+    async def node_b(state: State) -> State:
+        called.append("node_b")
+        return {"value": ["b"]}
+
+    graph = (
+        StateGraph(State)
+        .add_node("node_a", node_a)
+        .add_node("ask_human", ask_human)
+        .add_node("node_b", node_b)
+        .add_edge(START, "node_a")
+        .add_edge("node_a", "ask_human")
+        .add_edge("ask_human", "node_b")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # --- Original run: invoke until interrupt, then resume to complete ---
+    await graph.ainvoke({"value": []}, config)
+    await graph.ainvoke(Command(resume="old_answer"), config)
+
+    original_history = [s async for s in graph.aget_state_history(config)]
+    original = _checkpoint_summary(original_history)
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["a", "human:old_answer", "b"]}),
+        ("loop", ("node_b",), {"value": ["a", "human:old_answer"]}),
+        ("loop", ("ask_human",), {"value": ["a"]}),
+        ("loop", ("node_a",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # --- Replay from checkpoint before ask_human ---
+    before_ask = next(s for s in original_history if s.next == ("ask_human",))
+
+    called.clear()
+    replay_result = await graph.ainvoke(None, before_ask.config)
+    assert replay_result["__interrupt__"][0].value == "What is your input?"
+    assert "ask_human" in called
+    assert "node_a" not in called
+
+    # A fork checkpoint is now the latest
+    post_replay = _checkpoint_summary(
+        [s async for s in graph.aget_state_history(config)]
+    )
+    assert [(s["source"], s["next"]) for s in post_replay] == [
+        ("fork", ("ask_human",)),
+        ("loop", ()),
+        ("loop", ("node_b",)),
+        ("loop", ("ask_human",)),
+        ("loop", ("node_a",)),
+        ("input", ("__start__",)),
+    ]
+
+    # --- Resume with a new answer ---
+    called.clear()
+    final_result = await graph.ainvoke(Command(resume="new_answer"), config)
+    assert final_result["value"] == ["a", "human:new_answer", "b"]
+    assert "ask_human" in called
+    assert "node_b" in called
+
+    final = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch (from fork)
+        ("loop", (), {"value": ["a", "human:new_answer", "b"]}),
+        ("loop", ("node_b",), {"value": ["a", "human:new_answer"]}),
+        ("fork", ("ask_human",), {"value": ["a"]}),
+        # Original branch (preserved)
+        ("loop", (), {"value": ["a", "human:old_answer", "b"]}),
+        ("loop", ("node_b",), {"value": ["a", "human:old_answer"]}),
+        ("loop", ("ask_human",), {"value": ["a"]}),
+        ("loop", ("node_a",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
+@NEEDS_CONTEXTVARS
+async def test_subgraph_time_travel_resume_from_first_interrupt_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint at the first interrupt, then
+    resume through both interrupts with new answers.
+
+    Parent:    START --> executor (subgraph, checkpointer=True) --> END
+    Executor:  START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+    """
+
+    called: list[str] = []
+
+    async def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    async def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    async def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # --- Original run: hit both interrupts and resume ---
+    await graph.ainvoke({"value": []}, config)
+    sub_config_at_first = (
+        (await graph.aget_state(config, subgraphs=True)).tasks[0].state.config
+    )
+    await graph.ainvoke(Command(resume="answer_1"), config)
+    await graph.ainvoke(Command(resume="answer_2"), config)
+
+    original = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # --- Time travel to first interrupt's subgraph checkpoint ---
+    called.clear()
+    replay_result = await graph.ainvoke(None, sub_config_at_first)
+    assert replay_result["__interrupt__"][0].value == "Question 1?"
+    assert "step_a" not in called
+
+    # Fork is now the latest parent checkpoint
+    post_tt = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"]) for s in post_tt] == [
+        ("fork", ("executor",)),  # <-- new fork (latest)
+        ("loop", ()),  # original done
+        ("loop", ("executor",)),
+        ("input", ("__start__",)),
+    ]
+
+    # --- Resume both interrupts with new answers ---
+    called.clear()
+    resume_1 = await graph.ainvoke(Command(resume="new_answer_1"), config)
+    assert resume_1["__interrupt__"][0].value == "Question 2?"
+    assert "ask_1" in called
+
+    called.clear()
+    resume_2 = await graph.ainvoke(Command(resume="new_answer_2"), config)
+    assert resume_2["value"] == [
+        "step_a_done",
+        "ask_1:new_answer_1",
+        "ask_2:new_answer_2",
+    ]
+
+    # Verify final history: original branch preserved, new branch appended
+    final = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch (from time travel fork)
+        (
+            "loop",
+            (),
+            {"value": ["step_a_done", "ask_1:new_answer_1", "ask_2:new_answer_2"]},
+        ),
+        ("fork", ("executor",), {"value": []}),
+        # Original branch (preserved)
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
+@NEEDS_CONTEXTVARS
+async def test_subgraph_time_travel_resume_from_second_interrupt_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint at the second interrupt, then
+    resume with a new answer. The first interrupt's answer should be preserved.
+
+    Parent:    START --> executor (subgraph, checkpointer=True) --> END
+    Executor:  START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+    """
+
+    called: list[str] = []
+
+    async def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    async def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    async def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # --- Original run: hit both interrupts and resume ---
+    await graph.ainvoke({"value": []}, config)
+    await graph.ainvoke(Command(resume="answer_1"), config)
+    sub_config_at_second = (
+        (await graph.aget_state(config, subgraphs=True)).tasks[0].state.config
+    )
+    await graph.ainvoke(Command(resume="answer_2"), config)
+
+    original = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # --- Time travel to second interrupt ---
+    called.clear()
+    replay_result = await graph.ainvoke(None, sub_config_at_second)
+    assert replay_result["__interrupt__"][0].value == "Question 2?"
+    assert "step_a" not in called
+    assert "ask_1" not in called
+
+    # Fork is now the latest parent checkpoint
+    post_tt = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"]) for s in post_tt] == [
+        ("fork", ("executor",)),  # <-- new fork (latest)
+        ("loop", ()),  # original done
+        ("loop", ("executor",)),
+        ("input", ("__start__",)),
+    ]
+
+    # --- Resume with a new answer for ask_2 only ---
+    called.clear()
+    resume_result = await graph.ainvoke(Command(resume="new_answer_2"), config)
+    assert resume_result["value"] == [
+        "step_a_done",
+        "ask_1:answer_1",
+        "ask_2:new_answer_2",
+    ]
+
+    # Verify final history
+    final = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch (from time travel fork)
+        (
+            "loop",
+            (),
+            {"value": ["step_a_done", "ask_1:answer_1", "ask_2:new_answer_2"]},
+        ),
+        ("fork", ("executor",), {"value": []}),
+        # Original branch (preserved)
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
+@NEEDS_CONTEXTVARS
+async def test_subgraph_time_travel_checkpoint_pattern_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Verify the checkpoint pattern created by time travel to a subgraph
+    interrupt. A fork checkpoint should branch from the replay point.
+
+    Parent:    START --> executor (subgraph, checkpointer=True) --> END
+    Executor:  START --> ask (interrupt) --> END
+    """
+
+    async def ask(state: State) -> State:
+        answer = interrupt("Q?")
+        return {"value": [f"a:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("ask", ask)
+        .add_edge(START, "ask")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until interrupt, then complete
+    await graph.ainvoke({"value": []}, config)
+    sub_config = (await graph.aget_state(config, subgraphs=True)).tasks[0].state.config
+    await graph.ainvoke(Command(resume="first"), config)
+
+    original = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["a:first"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # Time travel to the interrupt
+    await graph.ainvoke(None, sub_config)
+
+    # Fork is now the latest, branching from the original replay point
+    post_tt = [s async for s in graph.aget_state_history(config)]
+    post_tt_summary = _checkpoint_summary(post_tt)
+    assert [(s["source"], s["next"]) for s in post_tt_summary] == [
+        ("fork", ("executor",)),  # <-- new fork (latest)
+        ("loop", ()),
+        ("loop", ("executor",)),  # <-- replay point / fork parent
+        ("input", ("__start__",)),
+    ]
+    # Verify the fork's parent is the original replay point
+    replay_point_id = sub_config["configurable"]["checkpoint_map"][""]
+    assert post_tt[0].parent_config["configurable"]["checkpoint_id"] == replay_point_id
+
+    # Resume from the fork
+    result = await graph.ainvoke(Command(resume="second"), config)
+    assert result["value"] == ["a:second"]
+
+    final = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch
+        ("loop", (), {"value": ["a:second"]}),
+        ("fork", ("executor",), {"value": []}),
+        # Original branch
+        ("loop", (), {"value": ["a:first"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
 @NEEDS_CONTEXTVARS
 async def test_3_levels_deep_time_travel_to_first_interrupt_async(
     async_checkpointer: BaseCheckpointSaver,
@@ -2088,13 +2481,15 @@ async def test_replay_creates_branch_preserving_old_checkpoints(
     # -- Post-replay checkpoint history (newest first) --
     post_replay_history = [s async for s in graph.aget_state_history(config)]
     post_summary = _checkpoint_summary(post_replay_history)
-    assert len(post_summary) == 7  # 5 original + 2 new branch checkpoints
+    # 5 original + 1 fork + 2 new branch checkpoints = 8
+    assert len(post_summary) == 8
 
     assert [s["next"] for s in post_summary] == [
-        (),  # new branch tip (C6)
-        ("node_c",),  # new branch (C5)
-        (),  # old branch tip (C4)
-        ("node_c",),  # old (C3)
+        (),  # new branch tip
+        ("node_c",),  # new branch
+        ("node_b",),  # fork from replay point
+        (),  # old branch tip
+        ("node_c",),  # old
         ("node_b",),  # branch point (C2)
         ("node_a",),  # old (C1)
         ("__start__",),  # old (C0)
@@ -2102,6 +2497,7 @@ async def test_replay_creates_branch_preserving_old_checkpoints(
     assert [s["values"] for s in post_summary] == [
         {"value": ["a", "b2", "c"]},  # new branch tip
         {"value": ["a", "b2"]},  # new: node_b re-ran with call_count=2
+        {"value": ["a"]},  # fork from replay point
         {"value": ["a", "b1", "c"]},  # old branch tip preserved
         {"value": ["a", "b1"]},  # old
         {"value": ["a"]},  # branch point

libs/langgraph/tests/test_utils.py

@@ -11,13 +11,19 @@ from typing import (
     TypeVar,
     Union,
 )
-from unittest.mock import patch
+from unittest.mock import MagicMock, patch
 
 import langsmith
 import pytest
+from langchain_core.runnables import RunnableConfig
+from langchain_core.tracers import LangChainTracer
 from typing_extensions import NotRequired, Required, TypedDict
 
-from langgraph._internal._config import _is_not_empty, ensure_config
+from langgraph._internal._config import (
+    _is_not_empty,
+    ensure_config,
+    get_callback_manager_for_config,
+)
 from langgraph._internal._fields import (
     _is_optional_type,
     get_enhanced_type_hints,
@@ -298,7 +304,7 @@ def test_is_not_empty() -> None:
     assert not _is_not_empty({})
 
 
-def test_configurable_metadata():
+def test_configurable_metadata() -> None:
     config = {
         "configurable": {
             "a-key": "foo",
@@ -309,11 +315,115 @@ def test_configurable_metadata():
             "andme": 42,
             "nested": {"foo": "bar"},
             "nooverride": -2,
+            "thread_id": "th-123",
+            "checkpoint_id": "ckpt-1",
+            "checkpoint_ns": "ns-1",
+            "task_id": "task-1",
+            "run_id": "run-456",
+            "assistant_id": "asst-789",
+            "graph_id": "graph-0",
+            "model": "gpt-4o",
+            "user_id": "uid-1",
+            "cron_id": "cron-1",
+            "langgraph_auth_user_id": "user-1",
         },
         "metadata": {"nooverride": 18},
     }
-    expected = {"nooverride"}
     merged = ensure_config(config)
     metadata = merged["metadata"]
-    assert metadata.keys() == expected
+    assert set(metadata) == {
+        "nooverride",
+        "assistant_id",
+        "thread_id",
+        "checkpoint_id",
+        "run_id",
+        "graph_id",
+        "checkpoint_ns",
+        "task_id",
+    }
     assert metadata["nooverride"] == 18
+
+
+def test_callback_manager_copies_whitelisted_configurable_ids_to_metadata() -> None:
+    config = {
+        "configurable": {
+            "thread_id": "th-123",
+            "checkpoint_id": "ckpt-1",
+            "checkpoint_ns": "ns-1",
+            "task_id": "task-1",
+            "run_id": "run-456",
+            "assistant_id": "asst-789",
+            "graph_id": "graph-0",
+            "model": "gpt-4o",
+            "user_id": "uid-1",
+            "cron_id": "cron-1",
+            "langgraph_auth_user_id": "user-1",
+        },
+        "metadata": {
+            "thread_id": "from-metadata",
+            "nooverride": 18,
+        },
+    }
+    manager = ensure_config(config)
+    callback_manager = get_callback_manager_for_config(manager)
+    assert callback_manager.metadata == {
+        "thread_id": "from-metadata",
+        "nooverride": 18,
+        "checkpoint_id": "ckpt-1",
+        "checkpoint_ns": "ns-1",
+        "task_id": "task-1",
+        "run_id": "run-456",
+        "assistant_id": "asst-789",
+        "graph_id": "graph-0",
+    }
+
+
+def test_callback_manager_copies_configurable_ids_to_tracing_metadata() -> None:
+    tracer = LangChainTracer(client=MagicMock())
+    config: RunnableConfig = {
+        "configurable": {
+            "thread_id": "th-123",
+            "checkpoint_id": "ckpt-1",
+            "checkpoint_ns": "ns-1",
+            "task_id": "task-1",
+            "run_id": "run-456",
+            "assistant_id": "asst-789",
+            "graph_id": "graph-0",
+            "model": "gpt-4o",
+            "user_id": "uid-1",
+            "cron_id": "cron-1",
+            "langgraph_auth_user_id": "user-1",
+            "includeme": "hi",
+            "andme": 42,
+            "__dontinclude": "bar",
+            "some_api_key": "secret",
+            "custom_setting": {"nested": True},
+        },
+        "metadata": {
+            "thread_id": "from-metadata",
+            "user_id": "from-metadata-user",
+            "includeme": "from-metadata",
+        },
+        "callbacks": [tracer],
+    }
+
+    manager = ensure_config(config)
+    callback_manager = get_callback_manager_for_config(manager)
+    handlers = callback_manager.handlers
+    tracers = [handler for handler in handlers if isinstance(handler, LangChainTracer)]
+    assert len(tracers) == 1
+    tracer = tracers[0]
+    assert tracer.tracing_metadata == {
+        "checkpoint_id": "ckpt-1",
+        "checkpoint_ns": "ns-1",
+        "task_id": "task-1",
+        "run_id": "run-456",
+        "assistant_id": "asst-789",
+        "graph_id": "graph-0",
+        "model": "gpt-4o",
+        "cron_id": "cron-1",
+        "andme": 42,
+        "includeme": "hi",
+        "thread_id": "th-123",
+        "user_id": "uid-1",
+    }