mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-09-13 21:27:52 +02:00
Compare commits
2
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Christian Bromann
|
2d33866447 | ||
|
Christian Bromann
|
c78866a2c4 |
@@ -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" != "1.1.5" ]; then
|
||||
echo "LANGGRAPH_VERSION != 1.1.5; $LANGGRAPH_VERSION"
|
||||
if [ "$LANGGRAPH_VERSION" != "1.1.2" ]; then
|
||||
echo "LANGGRAPH_VERSION != 1.1.2; $LANGGRAPH_VERSION"
|
||||
exit 1
|
||||
fi
|
||||
LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
|
||||
@@ -136,33 +136,3 @@ 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
|
||||
|
||||
@@ -37,7 +37,7 @@ jobs:
|
||||
run: python docs/generate_redirects.py
|
||||
|
||||
- name: Setup Pages
|
||||
uses: actions/configure-pages@v6
|
||||
uses: actions/configure-pages@v5
|
||||
|
||||
- name: Upload artifact
|
||||
uses: actions/upload-pages-artifact@v4
|
||||
|
||||
@@ -21,7 +21,6 @@ jobs:
|
||||
reopen-linked-prs:
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
actions: write
|
||||
pull-requests: write
|
||||
|
||||
steps:
|
||||
@@ -159,37 +158,4 @@ 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}`);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -100,4 +100,3 @@ dmypy.json
|
||||
.turbo
|
||||
.editorconfig
|
||||
.scratch
|
||||
.worktrees/
|
||||
|
||||
@@ -339,6 +339,37 @@ 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,
|
||||
@@ -349,6 +380,7 @@ 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,
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-checkpoint-conformance"
|
||||
version = "0.0.2"
|
||||
version = "0.0.1"
|
||||
description = "Conformance test suite for LangGraph checkpointer implementations."
|
||||
authors = [{name = "William FH", email = "13333726+hinthornw@users.noreply.github.com"}]
|
||||
requires-python = ">=3.10"
|
||||
|
||||
Generated
+47
-47
@@ -231,7 +231,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.2.28"
|
||||
version = "1.2.22"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -243,9 +243,9 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
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" }
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||||
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" }
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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" },
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{ 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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -263,7 +263,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint-conformance"
|
||||
version = "0.0.2"
|
||||
version = "0.0.1"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langgraph-checkpoint" },
|
||||
@@ -306,7 +306,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.7.31"
|
||||
version = "0.7.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "httpx" },
|
||||
@@ -319,9 +319,9 @@ dependencies = [
|
||||
{ name = "xxhash" },
|
||||
{ name = "zstandard" },
|
||||
]
|
||||
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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sdist = { url = "https://files.pythonhosted.org/packages/8d/bc/8172fefad4f2da888a6d564a27d1fb7d4dbf3c640899c2b40c46235cbe98/langsmith-0.7.3.tar.gz", hash = "sha256:0223b97021af62d2cf53c8a378a27bd22e90a7327e45b353e0069ae60d5d6f9e", size = 988575, upload-time = "2026-02-13T23:25:32.916Z" }
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wheels = [
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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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{ url = "https://files.pythonhosted.org/packages/f4/9d/5a68b6b5e313ffabbb9725d18a71edb48177fd6d3ad329c07801d2a8e862/langsmith-0.7.3-py3-none-any.whl", hash = "sha256:03659bf9274e6efcead361c9c31a7849ea565ae0d6c0d73e1d8b239029eff3be", size = 325718, upload-time = "2026-02-13T23:25:31.52Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -623,7 +623,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "pytest"
|
||||
version = "9.0.3"
|
||||
version = "9.0.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
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dependencies = [
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
@@ -634,9 +634,9 @@ dependencies = [
|
||||
{ name = "pygments" },
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
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]
|
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sdist = { url = "https://files.pythonhosted.org/packages/d1/db/7ef3487e0fb0049ddb5ce41d3a49c235bf9ad299b6a25d5780a89f19230f/pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11", size = 1568901, upload-time = "2025-12-06T21:30:51.014Z" }
|
||||
wheels = [
|
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{ url = "https://files.pythonhosted.org/packages/3b/ab/b3226f0bd7cdcf710fbede2b3548584366da3b19b5021e74f5bde2a8fa3f/pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b", size = 374801, upload-time = "2025-12-06T21:30:49.154Z" },
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||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -746,27 +746,27 @@ wheels = [
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||||
|
||||
[[package]]
|
||||
name = "ruff"
|
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version = "0.15.8"
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wheels = [
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||||
{ url = "https://files.pythonhosted.org/packages/82/c7/0147bfb543df97740b45b222c54ff79ef20fa57f14b9d2c1dab3cd7d3faa/ty-0.0.25-py3-none-win_arm64.whl", hash = "sha256:d80b8cd965cbacbfd887ac2d985f5b6da09b7aa3569371e2894e0b30b26b89cd", size = 10225494, upload-time = "2026-03-24T22:32:30.611Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -6,11 +6,6 @@ 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]
|
||||
|
||||
@@ -8,13 +8,11 @@ from typing import Any
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langgraph.checkpoint.base import (
|
||||
DELTA_SENTINEL,
|
||||
WRITES_IDX_MAP,
|
||||
ChannelVersions,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
_ChannelWritesHistory,
|
||||
get_checkpoint_id,
|
||||
get_serializable_checkpoint_metadata,
|
||||
)
|
||||
@@ -25,12 +23,7 @@ from psycopg.types.json import Jsonb
|
||||
from psycopg_pool import ConnectionPool
|
||||
|
||||
from langgraph.checkpoint.postgres import _internal
|
||||
from langgraph.checkpoint.postgres.base import (
|
||||
SELECT_DELTA_BLOBS_SQL,
|
||||
SELECT_DELTA_PARENTS_SQL,
|
||||
SELECT_DELTA_WRITES_SQL,
|
||||
BasePostgresSaver,
|
||||
)
|
||||
from langgraph.checkpoint.postgres.base import BasePostgresSaver
|
||||
from langgraph.checkpoint.postgres.shallow import ShallowPostgresSaver
|
||||
|
||||
Conn = _internal.Conn # For backward compatibility
|
||||
@@ -437,42 +430,6 @@ class PostgresSaver(BasePostgresSaver):
|
||||
with conn.cursor(binary=True, row_factory=dict_row) as cur:
|
||||
yield cur
|
||||
|
||||
def _get_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
"""Fast-path override of `BaseCheckpointSaver._get_channel_writes_history`.
|
||||
|
||||
Three indexed roundtrips (`checkpoints`, `checkpoint_writes`,
|
||||
`checkpoint_blobs`) each filtered by `(thread_id, checkpoint_ns)` and
|
||||
the per-table key. Plain SELECTs let the planner pick straight index
|
||||
scans; rationale + benchmark in `notes/delta_channel_query_bench.md`.
|
||||
"""
|
||||
thread_id = config["configurable"]["thread_id"]
|
||||
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
|
||||
checkpoint_id = get_checkpoint_id(config)
|
||||
if checkpoint_id is None:
|
||||
# Caller didn't specify a target — resolve to the latest
|
||||
# checkpoint on the thread. `get_tuple` without `checkpoint_id`
|
||||
# returns the newest; its config carries the resolved id.
|
||||
target = self.get_tuple(config)
|
||||
if target is None:
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
|
||||
checkpoint_id = target.config["configurable"]["checkpoint_id"]
|
||||
with self._cursor() as cur:
|
||||
cur.execute(SELECT_DELTA_PARENTS_SQL, (channel, thread_id, checkpoint_ns))
|
||||
parents_rows = cur.fetchall()
|
||||
cur.execute(SELECT_DELTA_WRITES_SQL, (thread_id, checkpoint_ns, channel))
|
||||
writes_rows = cur.fetchall()
|
||||
cur.execute(SELECT_DELTA_BLOBS_SQL, (thread_id, checkpoint_ns, channel))
|
||||
blobs_rows = cur.fetchall()
|
||||
return self._build_delta_channel_writes_history(
|
||||
channel=channel,
|
||||
target_id=checkpoint_id,
|
||||
parents_rows=parents_rows,
|
||||
writes_rows=writes_rows,
|
||||
blobs_rows=blobs_rows,
|
||||
)
|
||||
|
||||
def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
|
||||
"""
|
||||
Convert a database row into a CheckpointTuple object.
|
||||
@@ -485,7 +442,6 @@ class PostgresSaver(BasePostgresSaver):
|
||||
including its configuration, metadata, parent checkpoint (if any),
|
||||
and pending writes.
|
||||
"""
|
||||
channel_values = self._load_blobs(value["channel_values"])
|
||||
return CheckpointTuple(
|
||||
{
|
||||
"configurable": {
|
||||
@@ -498,7 +454,7 @@ class PostgresSaver(BasePostgresSaver):
|
||||
**value["checkpoint"],
|
||||
"channel_values": {
|
||||
**(value["checkpoint"].get("channel_values") or {}),
|
||||
**channel_values,
|
||||
**self._load_blobs(value["channel_values"]),
|
||||
},
|
||||
},
|
||||
value["metadata"],
|
||||
|
||||
@@ -8,13 +8,11 @@ from typing import Any
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langgraph.checkpoint.base import (
|
||||
DELTA_SENTINEL,
|
||||
WRITES_IDX_MAP,
|
||||
ChannelVersions,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
_ChannelWritesHistory,
|
||||
get_checkpoint_id,
|
||||
get_serializable_checkpoint_metadata,
|
||||
)
|
||||
@@ -25,12 +23,7 @@ from psycopg.types.json import Jsonb
|
||||
from psycopg_pool import AsyncConnectionPool
|
||||
|
||||
from langgraph.checkpoint.postgres import _ainternal
|
||||
from langgraph.checkpoint.postgres.base import (
|
||||
SELECT_DELTA_BLOBS_SQL,
|
||||
SELECT_DELTA_PARENTS_SQL,
|
||||
SELECT_DELTA_WRITES_SQL,
|
||||
BasePostgresSaver,
|
||||
)
|
||||
from langgraph.checkpoint.postgres.base import BasePostgresSaver
|
||||
from langgraph.checkpoint.postgres.shallow import AsyncShallowPostgresSaver
|
||||
|
||||
Conn = _ainternal.Conn # For backward compatibility
|
||||
@@ -398,45 +391,6 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
async with conn.cursor(binary=True, row_factory=dict_row) as cur:
|
||||
yield cur
|
||||
|
||||
async def _aget_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
"""Fast-path override of `BaseCheckpointSaver._aget_channel_writes_history`.
|
||||
|
||||
Three indexed roundtrips (`checkpoints`, `checkpoint_writes`,
|
||||
`checkpoint_blobs`); rows assembled by the shared pure helper on
|
||||
`BasePostgresSaver`. Rationale + benchmark in
|
||||
`notes/delta_channel_query_bench.md`.
|
||||
"""
|
||||
thread_id = config["configurable"]["thread_id"]
|
||||
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
|
||||
checkpoint_id = get_checkpoint_id(config)
|
||||
if checkpoint_id is None:
|
||||
target = await self.aget_tuple(config)
|
||||
if target is None:
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
|
||||
checkpoint_id = target.config["configurable"]["checkpoint_id"]
|
||||
async with self._cursor() as cur:
|
||||
await cur.execute(
|
||||
SELECT_DELTA_PARENTS_SQL, (channel, thread_id, checkpoint_ns)
|
||||
)
|
||||
parents_rows = await cur.fetchall()
|
||||
await cur.execute(
|
||||
SELECT_DELTA_WRITES_SQL, (thread_id, checkpoint_ns, channel)
|
||||
)
|
||||
writes_rows = await cur.fetchall()
|
||||
await cur.execute(
|
||||
SELECT_DELTA_BLOBS_SQL, (thread_id, checkpoint_ns, channel)
|
||||
)
|
||||
blobs_rows = await cur.fetchall()
|
||||
return self._build_delta_channel_writes_history(
|
||||
channel=channel,
|
||||
target_id=checkpoint_id,
|
||||
parents_rows=parents_rows,
|
||||
writes_rows=writes_rows,
|
||||
blobs_rows=blobs_rows,
|
||||
)
|
||||
|
||||
async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
|
||||
"""
|
||||
Convert a database row into a CheckpointTuple object.
|
||||
@@ -449,18 +403,11 @@ 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": thread_id,
|
||||
"checkpoint_ns": checkpoint_ns,
|
||||
"thread_id": value["thread_id"],
|
||||
"checkpoint_ns": value["checkpoint_ns"],
|
||||
"checkpoint_id": value["checkpoint_id"],
|
||||
}
|
||||
},
|
||||
@@ -468,15 +415,15 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
**value["checkpoint"],
|
||||
"channel_values": {
|
||||
**(value["checkpoint"].get("channel_values") or {}),
|
||||
**channel_values,
|
||||
**self._load_blobs(value["channel_values"]),
|
||||
},
|
||||
},
|
||||
value["metadata"],
|
||||
(
|
||||
{
|
||||
"configurable": {
|
||||
"thread_id": thread_id,
|
||||
"checkpoint_ns": checkpoint_ns,
|
||||
"thread_id": value["thread_id"],
|
||||
"checkpoint_ns": value["checkpoint_ns"],
|
||||
"checkpoint_id": value["parent_checkpoint_id"],
|
||||
}
|
||||
}
|
||||
|
||||
@@ -8,12 +8,9 @@ from typing import Any, cast
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langgraph.checkpoint.base import (
|
||||
DELTA_SENTINEL,
|
||||
WRITES_IDX_MAP,
|
||||
BaseCheckpointSaver,
|
||||
ChannelVersions,
|
||||
PendingWrite,
|
||||
_ChannelWritesHistory,
|
||||
get_checkpoint_id,
|
||||
)
|
||||
from langgraph.checkpoint.serde.types import TASKS
|
||||
@@ -155,30 +152,6 @@ INSERT_CHECKPOINT_WRITES_SQL = """
|
||||
ON CONFLICT (thread_id, checkpoint_ns, checkpoint_id, task_id, idx) DO NOTHING
|
||||
"""
|
||||
|
||||
# DeltaChannel reconstruction: three plain indexed SELECTs per channel.
|
||||
# Bench (notes/delta_channel_query_bench.md) showed the prior recursive CTE
|
||||
# carried a hidden O(ancestors x blobs_in_thread) join; plain SELECTs are
|
||||
# 3x-100x faster in the realistic depth range and the Python walk is O(n).
|
||||
SELECT_DELTA_PARENTS_SQL = """
|
||||
SELECT checkpoint_id,
|
||||
parent_checkpoint_id,
|
||||
checkpoint -> 'channel_versions' ->> %s AS ver
|
||||
FROM checkpoints
|
||||
WHERE thread_id = %s AND checkpoint_ns = %s
|
||||
"""
|
||||
|
||||
SELECT_DELTA_WRITES_SQL = """
|
||||
SELECT checkpoint_id, type, blob, task_id, idx
|
||||
FROM checkpoint_writes
|
||||
WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s
|
||||
"""
|
||||
|
||||
SELECT_DELTA_BLOBS_SQL = """
|
||||
SELECT version, type, blob
|
||||
FROM checkpoint_blobs
|
||||
WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s
|
||||
"""
|
||||
|
||||
|
||||
class BasePostgresSaver(BaseCheckpointSaver[str]):
|
||||
SELECT_SQL = SELECT_SQL
|
||||
@@ -212,91 +185,16 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
|
||||
)
|
||||
|
||||
def _load_blobs(
|
||||
self,
|
||||
blob_values: Any,
|
||||
self, blob_values: list[tuple[bytes, bytes, bytes]]
|
||||
) -> dict[str, Any]:
|
||||
if not blob_values:
|
||||
return {}
|
||||
result: dict[str, Any] = {}
|
||||
for k, t, v in blob_values:
|
||||
type_tag = t.decode()
|
||||
if type_tag != "empty":
|
||||
result[k.decode()] = self.serde.loads_typed((type_tag, v))
|
||||
return result
|
||||
|
||||
def _build_delta_channel_writes_history(
|
||||
self,
|
||||
*,
|
||||
channel: str,
|
||||
target_id: str,
|
||||
parents_rows: Sequence[Any],
|
||||
writes_rows: Sequence[Any],
|
||||
blobs_rows: Sequence[Any],
|
||||
) -> _ChannelWritesHistory:
|
||||
"""Reconstruct one delta channel's history from rows of the three SELECTs.
|
||||
|
||||
Pure data transform shared by sync (`PostgresSaver`) and async
|
||||
(`AsyncPostgresSaver`); both paths run the queries themselves and
|
||||
feed the rows here.
|
||||
|
||||
Walk is newest → oldest from the target's parent. A non-sentinel
|
||||
blob in `checkpoint_blobs` (a pre-delta snapshot) terminates the
|
||||
walk and is returned as the seed so replay starts from it.
|
||||
|
||||
Writes stored at `target_id` itself are pending writes for the next
|
||||
step and are excluded — the walk begins at the target's parent.
|
||||
"""
|
||||
parent_of: dict[str, str | None] = {}
|
||||
ver_of: dict[str, str | None] = {}
|
||||
for r in parents_rows:
|
||||
cid = r["checkpoint_id"]
|
||||
parent_of[cid] = r["parent_checkpoint_id"]
|
||||
ver_of[cid] = r["ver"]
|
||||
|
||||
ancestors: list[str] = []
|
||||
cid = parent_of.get(target_id)
|
||||
while cid is not None:
|
||||
ancestors.append(cid)
|
||||
cid = parent_of.get(cid)
|
||||
if not ancestors:
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
|
||||
ancestor_set = set(ancestors)
|
||||
|
||||
# Group writes by ancestor cid; sort within (task_id DESC, idx DESC)
|
||||
# to match the prior CTE ordering — newest write first per ancestor.
|
||||
writes_by_cid: dict[str, list[tuple[str, bytes, str, int]]] = {}
|
||||
for r in writes_rows:
|
||||
cid = r["checkpoint_id"]
|
||||
if cid not in ancestor_set:
|
||||
continue
|
||||
writes_by_cid.setdefault(cid, []).append(
|
||||
(r["type"], r["blob"], r["task_id"], r["idx"])
|
||||
)
|
||||
for ws in writes_by_cid.values():
|
||||
ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
|
||||
|
||||
blob_by_ver: dict[str, tuple[str, bytes]] = {
|
||||
r["version"]: (r["type"], r["blob"]) for r in blobs_rows
|
||||
return {
|
||||
k.decode(): self.serde.loads_typed((t.decode(), v))
|
||||
for k, t, v in blob_values
|
||||
if t.decode() != "empty"
|
||||
}
|
||||
|
||||
collected: list[PendingWrite] = [] # newest first; reversed at the end
|
||||
for cid in ancestors:
|
||||
# Pre-delta blob terminator: subsumes any writes at this ancestor.
|
||||
ver = ver_of.get(cid)
|
||||
if ver is not None:
|
||||
seed_blob = blob_by_ver.get(ver)
|
||||
if seed_blob is not None and seed_blob[0] != "empty":
|
||||
blob_value = self.serde.loads_typed(seed_blob)
|
||||
if blob_value is not DELTA_SENTINEL:
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=blob_value, writes=collected)
|
||||
for type_tag, write_blob, task_id, _idx in writes_by_cid.get(cid, []):
|
||||
val = self.serde.loads_typed((type_tag, write_blob))
|
||||
collected.append((task_id, channel, val))
|
||||
|
||||
collected.reverse() # oldest → newest
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
|
||||
|
||||
def _dump_blobs(
|
||||
self,
|
||||
thread_id: str,
|
||||
|
||||
@@ -361,9 +361,9 @@ async def test_get_checkpoint_no_channel_values(
|
||||
|
||||
load_checkpoint_tuple = saver._load_checkpoint_tuple
|
||||
|
||||
async def patched_load_checkpoint_tuple(value):
|
||||
def patched_load_checkpoint_tuple(value):
|
||||
value["checkpoint"].pop("channel_values", None)
|
||||
return await load_checkpoint_tuple(value)
|
||||
return load_checkpoint_tuple(value)
|
||||
|
||||
monkeypatch.setattr(
|
||||
saver, "_load_checkpoint_tuple", patched_load_checkpoint_tuple
|
||||
@@ -371,47 +371,3 @@ 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"
|
||||
|
||||
Generated
+204
-347
@@ -240,7 +240,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.2.28"
|
||||
version = "1.2.22"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -252,14 +252,14 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
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" }
|
||||
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" }
|
||||
wheels = [
|
||||
{ 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" },
|
||||
{ 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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.0.2"
|
||||
version = "4.0.1"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -382,7 +382,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.7.31"
|
||||
version = "0.6.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "httpx" },
|
||||
@@ -392,102 +392,89 @@ dependencies = [
|
||||
{ name = "requests" },
|
||||
{ name = "requests-toolbelt" },
|
||||
{ name = "uuid-utils" },
|
||||
{ name = "xxhash" },
|
||||
{ name = "zstandard" },
|
||||
]
|
||||
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" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e7/85/9c7933052a997da1b85bc5c774f3865e9b1da1c8d71541ea133178b13229/langsmith-0.6.4.tar.gz", hash = "sha256:36f7223a01c218079fbb17da5e536ebbaf5c1468c028abe070aa3ae59bc99ec8", size = 919964, upload-time = "2026-01-15T20:02:28.873Z" }
|
||||
wheels = [
|
||||
{ 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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||||
{ url = "https://files.pythonhosted.org/packages/66/0f/09a6637a7ba777eb307b7c80852d9ee26438e2bdafbad6fcc849ff9d9192/langsmith-0.6.4-py3-none-any.whl", hash = "sha256:ac4835860160be371042c7adbba3cb267bcf8d96a5ea976c33a8a4acad6c5486", size = 283503, upload-time = "2026-01-15T20:02:26.662Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "librt"
|
||||
version = "0.8.1"
|
||||
version = "0.7.8"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/56/9c/b4b0c54d84da4a94b37bd44151e46d5e583c9534c7e02250b961b1b6d8a8/librt-0.8.1.tar.gz", hash = "sha256:be46a14693955b3bd96014ccbdb8339ee8c9346fbe11c1b78901b55125f14c73", size = 177471, upload-time = "2026-02-17T16:13:06.101Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e7/24/5f3646ff414285e0f7708fa4e946b9bf538345a41d1c375c439467721a5e/librt-0.7.8.tar.gz", hash = "sha256:1a4ede613941d9c3470b0368be851df6bb78ab218635512d0370b27a277a0862", size = 148323, upload-time = "2026-01-14T12:56:16.876Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/7c/5f/63f5fa395c7a8a93558c0904ba8f1c8d1b997ca6a3de61bc7659970d66bf/librt-0.8.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:81fd938344fecb9373ba1b155968c8a329491d2ce38e7ddb76f30ffb938f12dc", size = 65697, upload-time = "2026-02-17T16:11:06.903Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/ff/e0/0472cf37267b5920eff2f292ccfaede1886288ce35b7f3203d8de00abfe6/librt-0.8.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5db05697c82b3a2ec53f6e72b2ed373132b0c2e05135f0696784e97d7f5d48e7", size = 68376, upload-time = "2026-02-17T16:11:08.395Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c8/be/8bd1359fdcd27ab897cd5963294fa4a7c83b20a8564678e4fd12157e56a5/librt-0.8.1-cp310-cp310-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:d56bc4011975f7460bea7b33e1ff425d2f1adf419935ff6707273c77f8a4ada6", size = 197084, upload-time = "2026-02-17T16:11:09.774Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e2/fe/163e33fdd091d0c2b102f8a60cc0a61fd730ad44e32617cd161e7cd67a01/librt-0.8.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5cdc0f588ff4b663ea96c26d2a230c525c6fc62b28314edaaaca8ed5af931ad0", size = 207337, upload-time = "2026-02-17T16:11:11.311Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/01/99/f85130582f05dcf0c8902f3d629270231d2f4afdfc567f8305a952ac7f14/librt-0.8.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:97c2b54ff6717a7a563b72627990bec60d8029df17df423f0ed37d56a17a176b", size = 219980, upload-time = "2026-02-17T16:11:12.499Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/6f/54/cb5e4d03659e043a26c74e08206412ac9a3742f0477d96f9761a55313b5f/librt-0.8.1-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:8f1125e6bbf2f1657d9a2f3ccc4a2c9b0c8b176965bb565dd4d86be67eddb4b6", size = 212921, upload-time = "2026-02-17T16:11:14.484Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/b1/81/a3a01e4240579c30f3487f6fed01eb4bc8ef0616da5b4ebac27ca19775f3/librt-0.8.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8f4bb453f408137d7581be309b2fbc6868a80e7ef60c88e689078ee3a296ae71", size = 221381, upload-time = "2026-02-17T16:11:17.459Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/08/b0/fc2d54b4b1c6fb81e77288ff31ff25a2c1e62eaef4424a984f228839717b/librt-0.8.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:c336d61d2fe74a3195edc1646d53ff1cddd3a9600b09fa6ab75e5514ba4862a7", size = 216714, upload-time = "2026-02-17T16:11:19.197Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/96/96/85daa73ffbd87e1fb287d7af6553ada66bf25a2a6b0de4764344a05469f6/librt-0.8.1-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:eb5656019db7c4deacf0c1a55a898c5bb8f989be904597fcb5232a2f4828fa05", size = 214777, upload-time = "2026-02-17T16:11:20.443Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/12/9c/c3aa7a2360383f4bf4f04d98195f2739a579128720c603f4807f006a4225/librt-0.8.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:c25d9e338d5bed46c1632f851babf3d13c78f49a225462017cf5e11e845c5891", size = 237398, upload-time = "2026-02-17T16:11:22.083Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/61/19/d350ea89e5274665185dabc4bbb9c3536c3411f862881d316c8b8e00eb66/librt-0.8.1-cp310-cp310-win32.whl", hash = "sha256:aaab0e307e344cb28d800957ef3ec16605146ef0e59e059a60a176d19543d1b7", size = 54285, upload-time = "2026-02-17T16:11:23.27Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/4f/d6/45d587d3d41c112e9543a0093d883eb57a24a03e41561c127818aa2a6bcc/librt-0.8.1-cp310-cp310-win_amd64.whl", hash = "sha256:56e04c14b696300d47b3bc5f1d10a00e86ae978886d0cee14e5714fafb5df5d2", size = 61352, upload-time = "2026-02-17T16:11:24.207Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/1d/01/0e748af5e4fee180cf7cd12bd12b0513ad23b045dccb2a83191bde82d168/librt-0.8.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:681dc2451d6d846794a828c16c22dc452d924e9f700a485b7ecb887a30aad1fd", size = 65315, upload-time = "2026-02-17T16:11:25.152Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/9d/4d/7184806efda571887c798d573ca4134c80ac8642dcdd32f12c31b939c595/librt-0.8.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a3b4350b13cc0e6f5bec8fa7caf29a8fb8cdc051a3bae45cfbfd7ce64f009965", size = 68021, upload-time = "2026-02-17T16:11:26.129Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/ae/88/c3c52d2a5d5101f28d3dc89298444626e7874aa904eed498464c2af17627/librt-0.8.1-cp311-cp311-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:ac1e7817fd0ed3d14fd7c5df91daed84c48e4c2a11ee99c0547f9f62fdae13da", size = 194500, upload-time = "2026-02-17T16:11:27.177Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/d6/5d/6fb0a25b6a8906e85b2c3b87bee1d6ed31510be7605b06772f9374ca5cb3/librt-0.8.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:747328be0c5b7075cde86a0e09d7a9196029800ba75a1689332348e998fb85c0", size = 205622, upload-time = "2026-02-17T16:11:28.242Z" },
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||||
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||||
{ url = "https://files.pythonhosted.org/packages/ee/19/60e07886ad16670aae57ef44dada41912c90906a6fe9f2b9abac21374748/librt-0.8.1-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:d480de377f5b687b6b1bc0c0407426da556e2a757633cc7e4d2e1a057aa688f3", size = 211493, upload-time = "2026-02-17T16:11:30.445Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/9c/cf/f666c89d0e861d05600438213feeb818c7514d3315bae3648b1fc145d2b6/librt-0.8.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d0ee06b5b5291f609ddb37b9750985b27bc567791bc87c76a569b3feed8481ac", size = 219129, upload-time = "2026-02-17T16:11:32.021Z" },
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||||
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||||
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||||
[[package]]
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|
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||||
|
||||
@@ -2,11 +2,6 @@
|
||||
|
||||
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
|
||||
|
||||
Generated
+135
-278
@@ -249,7 +249,7 @@ wheels = [
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||||
|
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[[package]]
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||||
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{ name = "jsonpatch" },
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@@ -261,14 +261,14 @@ dependencies = [
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{ name = "uuid-utils" },
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|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -385,7 +385,7 @@ test = [
|
||||
|
||||
[[package]]
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||||
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|
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dependencies = [
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{ name = "httpx" },
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@@ -395,102 +395,89 @@ dependencies = [
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{ name = "requests" },
|
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{ name = "requests-toolbelt" },
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{ name = "uuid-utils" },
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{ url = "https://files.pythonhosted.org/packages/ce/b8/edab8a7d4fa14e924b29be877d54155dcbd8b80be85ea00d2be3413a9ed4/xxhash-3.6.0-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b9c6df83594f7df8f7f708ce5ebeacfc69f72c9fbaaababf6cf4758eaada0c9b", size = 214965, upload-time = "2025-10-02T14:36:03.507Z" },
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{ url = "https://files.pythonhosted.org/packages/27/67/dfa980ac7f0d509d54ea0d5a486d2bb4b80c3f1bb22b66e6a05d3efaf6c0/xxhash-3.6.0-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:627f0af069b0ea56f312fd5189001c24578868643203bca1abbc2c52d3a6f3ca", size = 448484, upload-time = "2025-10-02T14:36:04.828Z" },
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{ url = "https://files.pythonhosted.org/packages/8c/63/8ffc2cc97e811c0ca5d00ab36604b3ea6f4254f20b7bc658ca825ce6c954/xxhash-3.6.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:aa912c62f842dfd013c5f21a642c9c10cd9f4c4e943e0af83618b4a404d9091a", size = 196162, upload-time = "2025-10-02T14:36:06.182Z" },
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{ url = "https://files.pythonhosted.org/packages/4b/77/07f0e7a3edd11a6097e990f6e5b815b6592459cb16dae990d967693e6ea9/xxhash-3.6.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:b465afd7909db30168ab62afe40b2fcf79eedc0b89a6c0ab3123515dc0df8b99", size = 213007, upload-time = "2025-10-02T14:36:07.733Z" },
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||||
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{ url = "https://files.pythonhosted.org/packages/62/b2/5ac99a041a29e58e95f907876b04f7067a0242cb85b5f39e726153981503/xxhash-3.6.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c6dc31591899f5e5666f04cc2e529e69b4072827085c1ef15294d91a004bc1bd", size = 32481, upload-time = "2025-10-02T14:37:05.869Z" },
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{ url = "https://files.pythonhosted.org/packages/7b/d9/8d95e906764a386a3d3b596f3c68bb63687dfca806373509f51ce8eea81f/xxhash-3.6.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:15e0dac10eb9309508bfc41f7f9deaa7755c69e35af835db9cb10751adebc35d", size = 31565, upload-time = "2025-10-02T14:37:06.966Z" },
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||||
]
|
||||
|
||||
[[package]]
|
||||
name = "zstandard"
|
||||
version = "0.25.0"
|
||||
|
||||
@@ -26,9 +26,6 @@ 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.
|
||||
|
||||
@@ -1,10 +1,9 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import contextvars
|
||||
import copy
|
||||
import logging
|
||||
from collections.abc import AsyncIterator, Collection, Iterator, Mapping, Sequence
|
||||
from typing import (
|
||||
from typing import ( # noqa: UP035
|
||||
Any,
|
||||
Generic,
|
||||
Literal,
|
||||
@@ -19,9 +18,6 @@ from langgraph.checkpoint.base.id import uuid6
|
||||
from langgraph.checkpoint.serde.base import SerializerProtocol, maybe_add_typed_methods
|
||||
from langgraph.checkpoint.serde.encrypted import EncryptedSerializer
|
||||
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
|
||||
from langgraph.checkpoint.serde.types import (
|
||||
DELTA_SENTINEL as DELTA_SENTINEL,
|
||||
)
|
||||
from langgraph.checkpoint.serde.types import (
|
||||
ERROR,
|
||||
INTERRUPT,
|
||||
@@ -32,16 +28,6 @@ from langgraph.checkpoint.serde.types import (
|
||||
|
||||
V = TypeVar("V", int, float, str)
|
||||
PendingWrite = tuple[str, str, Any]
|
||||
|
||||
# Task-local guard: ContextVar is copied per asyncio Task, so concurrent
|
||||
# requests on the same event-loop thread do not share this flag. A plain
|
||||
# `threading.local()` would leak across tasks and let one in-flight
|
||||
# reconstruction silently short-circuit another.
|
||||
_DELTA_RECONSTRUCTION: contextvars.ContextVar[bool] = contextvars.ContextVar(
|
||||
"_DELTA_RECONSTRUCTION", default=False
|
||||
)
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@@ -133,30 +119,6 @@ class CheckpointTuple(NamedTuple):
|
||||
pending_writes: list[PendingWrite] | None = None
|
||||
|
||||
|
||||
class _ChannelWritesHistory(NamedTuple):
|
||||
"""Result of `BaseCheckpointSaver._get_channel_writes_history`.
|
||||
|
||||
Storage-level view of what one channel wrote across the ancestor chain
|
||||
of a target checkpoint:
|
||||
|
||||
* `seed` — the nearest ancestor's stored blob value for this channel,
|
||||
or `DELTA_SENTINEL` if the walk reached the root without finding a
|
||||
stored value. A non-sentinel seed typically indicates a pre-delta
|
||||
snapshot preserved across a channel-type migration (e.g.
|
||||
`BinaryOperatorAggregate` storage extended under `DeltaChannel`).
|
||||
* `writes` — on-path deltas oldest→newest, one `PendingWrite` per
|
||||
step that wrote to this channel. Writes stored at the target
|
||||
checkpoint itself are pending for the next super-step and are
|
||||
excluded.
|
||||
|
||||
Experimental: method surface may change; the NamedTuple shape is the
|
||||
contract.
|
||||
"""
|
||||
|
||||
seed: Any
|
||||
writes: list[PendingWrite]
|
||||
|
||||
|
||||
class BaseCheckpointSaver(Generic[V]):
|
||||
"""Base class for creating a graph checkpointer.
|
||||
|
||||
@@ -495,104 +457,6 @@ class BaseCheckpointSaver(Generic[V]):
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
def _get_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
"""**Experimental.** Query one channel's writes along the parent chain.
|
||||
|
||||
Storage-level query, not channel semantics: returns `(seed, writes)`
|
||||
reflecting what storage knows about a single channel across the
|
||||
ancestor chain of the target checkpoint identified by `config`.
|
||||
|
||||
* `writes` — on-path deltas oldest→newest as `PendingWrite` tuples.
|
||||
Writes stored at the target `checkpoint_id` itself are pending
|
||||
for the next super-step and are excluded.
|
||||
* `seed` — the nearest ancestor's stored blob value for this
|
||||
channel; `DELTA_SENTINEL` if the walk reached the root without
|
||||
finding a stored value. A non-sentinel seed typically indicates
|
||||
a pre-delta snapshot preserved across a channel-type migration.
|
||||
|
||||
Walks the **parent chain** (not `list(before=...)`): for forked
|
||||
threads, only on-path ancestors contribute.
|
||||
|
||||
Reference implementation walks `get_tuple` + `parent_config`,
|
||||
inspecting each ancestor's `channel_values[channel]` for the seed
|
||||
terminator. Savers with direct storage access (`InMemorySaver`,
|
||||
`PostgresSaver`) override for performance; the return contract is
|
||||
fixed here.
|
||||
|
||||
Underscore-prefixed because the method surface is experimental.
|
||||
"""
|
||||
# Guard against re-entrant calls: when get_tuple() triggers
|
||||
# reconstruction which calls get_tuple() again, the inner call
|
||||
# short-circuits here.
|
||||
if _DELTA_RECONSTRUCTION.get():
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
|
||||
|
||||
token = _DELTA_RECONSTRUCTION.set(True)
|
||||
try:
|
||||
collected: list[PendingWrite] = [] # newest first; reversed at the end
|
||||
target_tuple = self.get_tuple(config)
|
||||
cursor_config: RunnableConfig | None = (
|
||||
target_tuple.parent_config if target_tuple else None
|
||||
)
|
||||
while cursor_config is not None:
|
||||
tup = self.get_tuple(cursor_config)
|
||||
if tup is None:
|
||||
break
|
||||
# Pre-delta seed terminator: if the ancestor has a stored
|
||||
# (non-sentinel) value for this channel, that snapshot
|
||||
# subsumes any earlier writes on the chain. Stop here.
|
||||
ancestor_value = tup.checkpoint["channel_values"].get(channel)
|
||||
if ancestor_value is not None and ancestor_value is not DELTA_SENTINEL:
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=ancestor_value, writes=collected)
|
||||
if tup.pending_writes:
|
||||
# Within a superstep, pending_writes are oldest→newest;
|
||||
# reverse to scan newest-first.
|
||||
for write in reversed(tup.pending_writes):
|
||||
if write[1] != channel:
|
||||
continue
|
||||
collected.append(write)
|
||||
cursor_config = tup.parent_config
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
|
||||
finally:
|
||||
_DELTA_RECONSTRUCTION.reset(token)
|
||||
|
||||
async def _aget_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
"""Async version of `_get_channel_writes_history`. See docstring there."""
|
||||
if _DELTA_RECONSTRUCTION.get():
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
|
||||
|
||||
token = _DELTA_RECONSTRUCTION.set(True)
|
||||
try:
|
||||
collected: list[PendingWrite] = []
|
||||
target_tuple = await self.aget_tuple(config)
|
||||
cursor_config: RunnableConfig | None = (
|
||||
target_tuple.parent_config if target_tuple else None
|
||||
)
|
||||
while cursor_config is not None:
|
||||
tup = await self.aget_tuple(cursor_config)
|
||||
if tup is None:
|
||||
break
|
||||
ancestor_value = tup.checkpoint["channel_values"].get(channel)
|
||||
if ancestor_value is not None and ancestor_value is not DELTA_SENTINEL:
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=ancestor_value, writes=collected)
|
||||
if tup.pending_writes:
|
||||
for write in reversed(tup.pending_writes):
|
||||
if write[1] != channel:
|
||||
continue
|
||||
collected.append(write)
|
||||
cursor_config = tup.parent_config
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
|
||||
finally:
|
||||
_DELTA_RECONSTRUCTION.reset(token)
|
||||
|
||||
def get_next_version(self, current: V | None, channel: None) -> V:
|
||||
"""Generate the next version ID for a channel.
|
||||
|
||||
|
||||
@@ -9,21 +9,18 @@ from collections import defaultdict
|
||||
from collections.abc import AsyncIterator, Iterator, Sequence
|
||||
from contextlib import AbstractAsyncContextManager, AbstractContextManager, ExitStack
|
||||
from types import TracebackType
|
||||
from typing import Any, cast
|
||||
from typing import Any
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
|
||||
from langgraph.checkpoint.base import (
|
||||
DELTA_SENTINEL,
|
||||
WRITES_IDX_MAP,
|
||||
BaseCheckpointSaver,
|
||||
ChannelVersions,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
PendingWrite,
|
||||
SerializerProtocol,
|
||||
_ChannelWritesHistory,
|
||||
get_checkpoint_id,
|
||||
get_checkpoint_metadata,
|
||||
)
|
||||
@@ -124,91 +121,16 @@ class InMemorySaver(
|
||||
return self.stack.__exit__(__exc_type, __exc_value, __traceback)
|
||||
|
||||
def _load_blobs(
|
||||
self,
|
||||
thread_id: str,
|
||||
checkpoint_ns: str,
|
||||
versions: ChannelVersions,
|
||||
self, thread_id: str, checkpoint_ns: str, versions: ChannelVersions
|
||||
) -> dict[str, Any]:
|
||||
result: dict[str, Any] = {}
|
||||
for k, ver in versions.items():
|
||||
kk = (thread_id, checkpoint_ns, k, ver)
|
||||
if kk not in self.blobs:
|
||||
continue
|
||||
vv = self.blobs[kk]
|
||||
if vv[0] == "empty":
|
||||
continue
|
||||
result[k] = self.serde.loads_typed(vv)
|
||||
return result
|
||||
|
||||
def _get_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
thread_id = config["configurable"]["thread_id"]
|
||||
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
|
||||
checkpoint_id = config["configurable"].get("checkpoint_id", "")
|
||||
ns_storage = self.storage.get(thread_id, {}).get(checkpoint_ns, {})
|
||||
# Walk the parent chain newest→oldest. Skip the target itself —
|
||||
# writes stored AT `checkpoint_id` are pending for the next step
|
||||
# (pregel applies them via `apply_writes`; they aren't part of the
|
||||
# snapshot value AT `checkpoint_id`).
|
||||
chain: list[str] = []
|
||||
target_entry = ns_storage.get(checkpoint_id)
|
||||
current: str | None = target_entry[2] if target_entry is not None else None
|
||||
while current is not None:
|
||||
entry = ns_storage.get(current)
|
||||
if entry is None:
|
||||
break
|
||||
chain.append(current)
|
||||
_, _, parent = entry
|
||||
current = parent
|
||||
# Scan newest→oldest. A pre-delta blob on an ancestor terminates the
|
||||
# walk and is bound as `seed`; without this, a thread migrated from
|
||||
# pre-delta storage would replay ancestor writes all the way to the
|
||||
# root AND miss any value that lived only in the old blob (e.g. from
|
||||
# `update_state`).
|
||||
#
|
||||
# At each ancestor, check the blob BEFORE processing its pending
|
||||
# writes: a pre-delta blob represents the state AT that ancestor,
|
||||
# which already subsumes any writes stored under it. Processing
|
||||
# those writes first would fold them into the reconstructed value
|
||||
# twice (once via the blob, once via replay).
|
||||
collected: list[PendingWrite] = [] # newest first
|
||||
for cp_id in chain: # newest → oldest
|
||||
entry = ns_storage.get(cp_id)
|
||||
if entry is not None:
|
||||
ckpt = self.serde.loads_typed(entry[0])
|
||||
ver = ckpt.get("channel_versions", {}).get(channel)
|
||||
if ver is not None:
|
||||
blob_entry = self.blobs.get(
|
||||
(thread_id, checkpoint_ns, channel, ver)
|
||||
)
|
||||
if blob_entry is not None and blob_entry[0] != "empty":
|
||||
blob_value = self.serde.loads_typed(blob_entry)
|
||||
if blob_value is not DELTA_SENTINEL:
|
||||
# Pre-delta snapshot terminator. Skip this
|
||||
# ancestor's writes — the blob subsumes them.
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(
|
||||
seed=blob_value, writes=collected
|
||||
)
|
||||
|
||||
step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
|
||||
# Within a superstep, sorted by (task_id, idx) = oldest → newest;
|
||||
# reverse for newest-first scan.
|
||||
for (_task_id, _idx), (tid, ch, serialized, _) in sorted(
|
||||
step_writes.items(), reverse=True
|
||||
):
|
||||
if ch != channel:
|
||||
continue
|
||||
val = self.serde.loads_typed(serialized)
|
||||
collected.append((tid, ch, val))
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
|
||||
|
||||
async def _aget_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
return self._get_channel_writes_history(config, channel)
|
||||
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)
|
||||
return channel_values
|
||||
|
||||
def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
|
||||
"""Get a checkpoint tuple from the in-memory storage.
|
||||
@@ -231,16 +153,13 @@ class InMemorySaver(
|
||||
checkpoint, metadata, parent_checkpoint_id = saved
|
||||
writes = self.writes[(thread_id, checkpoint_ns, checkpoint_id)].values()
|
||||
checkpoint_: Checkpoint = self.serde.loads_typed(checkpoint)
|
||||
channel_values = self._load_blobs(
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
checkpoint_["channel_versions"],
|
||||
)
|
||||
return CheckpointTuple(
|
||||
config=config,
|
||||
checkpoint={
|
||||
**checkpoint_,
|
||||
"channel_values": channel_values,
|
||||
"channel_values": self._load_blobs(
|
||||
thread_id, checkpoint_ns, checkpoint_["channel_versions"]
|
||||
),
|
||||
},
|
||||
metadata=self.serde.loads_typed(metadata),
|
||||
pending_writes=[
|
||||
@@ -264,26 +183,19 @@ class InMemorySaver(
|
||||
checkpoint, metadata, parent_checkpoint_id = checkpoints[checkpoint_id]
|
||||
writes = self.writes[(thread_id, checkpoint_ns, checkpoint_id)].values()
|
||||
checkpoint_ = self.serde.loads_typed(checkpoint)
|
||||
resolved_config = cast(
|
||||
RunnableConfig,
|
||||
{
|
||||
return CheckpointTuple(
|
||||
config={
|
||||
"configurable": {
|
||||
"thread_id": thread_id,
|
||||
"checkpoint_ns": checkpoint_ns,
|
||||
"checkpoint_id": checkpoint_id,
|
||||
}
|
||||
},
|
||||
)
|
||||
channel_values = self._load_blobs(
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
checkpoint_["channel_versions"],
|
||||
)
|
||||
return CheckpointTuple(
|
||||
config=resolved_config,
|
||||
checkpoint={
|
||||
**checkpoint_,
|
||||
"channel_values": channel_values,
|
||||
"channel_values": self._load_blobs(
|
||||
thread_id, checkpoint_ns, checkpoint_["channel_versions"]
|
||||
),
|
||||
},
|
||||
metadata=self.serde.loads_typed(metadata),
|
||||
pending_writes=[
|
||||
@@ -378,27 +290,21 @@ class InMemorySaver(
|
||||
|
||||
checkpoint_: Checkpoint = self.serde.loads_typed(checkpoint)
|
||||
|
||||
list_config = cast(
|
||||
RunnableConfig,
|
||||
{
|
||||
yield CheckpointTuple(
|
||||
config={
|
||||
"configurable": {
|
||||
"thread_id": thread_id,
|
||||
"checkpoint_ns": checkpoint_ns,
|
||||
"checkpoint_id": checkpoint_id,
|
||||
}
|
||||
},
|
||||
)
|
||||
channel_values = self._load_blobs(
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
checkpoint_["channel_versions"],
|
||||
)
|
||||
|
||||
yield CheckpointTuple(
|
||||
config=list_config,
|
||||
checkpoint={
|
||||
**checkpoint_,
|
||||
"channel_values": channel_values,
|
||||
"channel_values": self._load_blobs(
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
checkpoint_["channel_versions"],
|
||||
),
|
||||
},
|
||||
metadata=metadata,
|
||||
parent_config=(
|
||||
|
||||
@@ -1,10 +1,3 @@
|
||||
"""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
|
||||
|
||||
@@ -33,35 +33,19 @@ from langchain_core.load.load import Reviver
|
||||
from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
|
||||
from langgraph.checkpoint.serde.base import SerializerProtocol
|
||||
from langgraph.checkpoint.serde.event_hooks import emit_serde_event
|
||||
from langgraph.checkpoint.serde.types import DELTA_SENTINEL, SendProtocol
|
||||
from langgraph.checkpoint.serde.types import SendProtocol
|
||||
from langgraph.store.base import Item
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langgraph.checkpoint.serde._msgpack import (
|
||||
AllowedMsgpackModules,
|
||||
)
|
||||
from langgraph.checkpoint.serde.types import SendProtocol
|
||||
|
||||
LC_REVIVER = Reviver()
|
||||
EMPTY_BYTES = b""
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Dedup log warnings across process lifetime; cap bounds state if types are
|
||||
# dynamically generated (also acts as a circuit breaker on warning volume).
|
||||
# Dedup is best-effort: racing threads may each emit once for the same key,
|
||||
# and warnings are silently dropped once _MAX_WARNED_TYPES is reached.
|
||||
_MAX_WARNED_TYPES = 1000
|
||||
_warned_unregistered_types: set[tuple[str, str]] = set()
|
||||
_warned_blocked_types: set[tuple[str, str]] = set()
|
||||
|
||||
|
||||
def _warn_once(
|
||||
seen: set[tuple[str, str]], key: tuple[str, str], msg: str, *args: object
|
||||
) -> None:
|
||||
if key in seen or len(seen) >= _MAX_WARNED_TYPES:
|
||||
return
|
||||
seen.add(key)
|
||||
logger.warning(msg, *args)
|
||||
|
||||
|
||||
class JsonPlusSerializer(SerializerProtocol):
|
||||
"""Serializer that uses ormsgpack, with optional fallbacks.
|
||||
@@ -72,10 +56,6 @@ 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__(
|
||||
@@ -90,11 +70,8 @@ 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 = (
|
||||
@@ -251,8 +228,6 @@ class JsonPlusSerializer(SerializerProtocol):
|
||||
def dumps_typed(self, obj: Any) -> tuple[str, bytes]:
|
||||
if obj is None:
|
||||
return "null", EMPTY_BYTES
|
||||
elif obj is DELTA_SENTINEL:
|
||||
return "delta", EMPTY_BYTES
|
||||
elif isinstance(obj, bytes):
|
||||
return "bytes", obj
|
||||
elif isinstance(obj, bytearray):
|
||||
@@ -279,8 +254,6 @@ class JsonPlusSerializer(SerializerProtocol):
|
||||
return ormsgpack.unpackb(
|
||||
data_, ext_hook=self._unpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
|
||||
)
|
||||
elif type_ == "delta":
|
||||
return DELTA_SENTINEL
|
||||
elif self.pickle_fallback and type_ == "pickle":
|
||||
return pickle.loads(data_)
|
||||
else:
|
||||
@@ -554,13 +527,10 @@ def _create_msgpack_ext_hook(
|
||||
"name": name,
|
||||
}
|
||||
)
|
||||
_warn_once(
|
||||
_warned_unregistered_types,
|
||||
key,
|
||||
logger.warning(
|
||||
"Deserializing unregistered type %s.%s from checkpoint. "
|
||||
"This will be blocked in a future version. "
|
||||
"Set LANGGRAPH_STRICT_MSGPACK=true to block now, or add "
|
||||
"to allowed_msgpack_modules to allow explicitly: [(%r, %r)]",
|
||||
"Add to allowed_msgpack_modules to silence: [(%r, %r)]",
|
||||
module,
|
||||
name,
|
||||
module,
|
||||
@@ -578,9 +548,7 @@ def _create_msgpack_ext_hook(
|
||||
"name": name,
|
||||
}
|
||||
)
|
||||
_warn_once(
|
||||
_warned_blocked_types,
|
||||
key,
|
||||
logger.warning(
|
||||
"Blocked deserialization of %s.%s - not in allowed_msgpack_modules. "
|
||||
"Add to allowed_msgpack_modules to allow: [(%r, %r)]",
|
||||
module,
|
||||
|
||||
@@ -14,25 +14,6 @@ INTERRUPT = "__interrupt__"
|
||||
RESUME = "__resume__"
|
||||
TASKS = "__pregel_tasks"
|
||||
|
||||
|
||||
class _DeltaSentinel:
|
||||
"""Singleton marker stored (as zero bytes) in checkpoint_blobs for a
|
||||
DeltaChannel field. The actual per-step writes live in checkpoint_writes
|
||||
and are replayed through the reducer at load time.
|
||||
|
||||
Compare with `is DELTA_SENTINEL` — `loads_typed` always returns the same
|
||||
module-level instance.
|
||||
"""
|
||||
|
||||
__slots__ = ()
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return "DELTA_SENTINEL"
|
||||
|
||||
|
||||
DELTA_SENTINEL = _DeltaSentinel()
|
||||
|
||||
|
||||
Value = TypeVar("Value", covariant=True)
|
||||
Update = TypeVar("Update", contravariant=True)
|
||||
C = TypeVar("C")
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.0.2"
|
||||
version = "4.0.1"
|
||||
description = "Library with base interfaces for LangGraph checkpoint savers."
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
|
||||
@@ -29,8 +29,6 @@ from langgraph.checkpoint.serde.jsonplus import (
|
||||
EXT_METHOD_SINGLE_ARG,
|
||||
JsonPlusSerializer,
|
||||
_msgpack_enc,
|
||||
_warned_blocked_types,
|
||||
_warned_unregistered_types,
|
||||
)
|
||||
|
||||
|
||||
@@ -104,13 +102,6 @@ def test_msgpack_method_pathlib_blocked_encrypted_strict(
|
||||
class TestEncryptedSerializerMsgpackAllowlist:
|
||||
"""Test msgpack allowlist behavior through EncryptedSerializer."""
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def _reset_warned_types(self) -> None:
|
||||
# Warning dedup state is process-global; reset per-test so each case
|
||||
# sees a fresh slate and assertions about warning emission are stable.
|
||||
_warned_unregistered_types.clear()
|
||||
_warned_blocked_types.clear()
|
||||
|
||||
def test_safe_types_no_warning(self, caplog: pytest.LogCaptureFixture) -> None:
|
||||
"""Test safe types deserialize without warnings through encryption."""
|
||||
serde = _make_encrypted_serde()
|
||||
|
||||
@@ -35,8 +35,6 @@ from langgraph.checkpoint.serde.jsonplus import (
|
||||
JsonPlusSerializer,
|
||||
_msgpack_enc,
|
||||
_msgpack_ext_hook_to_json,
|
||||
_warned_blocked_types,
|
||||
_warned_unregistered_types,
|
||||
)
|
||||
from langgraph.store.base import Item
|
||||
|
||||
@@ -582,14 +580,6 @@ def test_msgpack_safe_types_no_warning(caplog: pytest.LogCaptureFixture) -> None
|
||||
assert result is not None
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def _reset_warned_types() -> None:
|
||||
# Warning dedup state is process-global; reset per-test so each case sees
|
||||
# a fresh slate and assertions about warning emission are stable.
|
||||
_warned_unregistered_types.clear()
|
||||
_warned_blocked_types.clear()
|
||||
|
||||
|
||||
def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) -> None:
|
||||
"""Pydantic models not in allowlist should log warning but still deserialize."""
|
||||
current = _lg_msgpack.STRICT_MSGPACK_ENABLED
|
||||
@@ -605,12 +595,6 @@ def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) ->
|
||||
assert "unregistered type" in caplog.text.lower()
|
||||
assert "allowed_msgpack_modules" in caplog.text
|
||||
assert result == obj
|
||||
|
||||
# Second deserialization of the same type should NOT produce another warning
|
||||
caplog.clear()
|
||||
result2 = serde.loads_typed(dumped)
|
||||
assert "unregistered type" not in caplog.text.lower()
|
||||
assert result2 == obj
|
||||
_lg_msgpack.STRICT_MSGPACK_ENABLED = current
|
||||
|
||||
|
||||
@@ -655,6 +639,7 @@ def test_msgpack_allowlist_silences_warning(caplog: pytest.LogCaptureFixture) ->
|
||||
|
||||
def test_msgpack_none_blocks_unregistered(caplog: pytest.LogCaptureFixture) -> None:
|
||||
"""allowed_msgpack_modules=None should block unregistered types."""
|
||||
|
||||
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
|
||||
|
||||
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
|
||||
@@ -672,6 +657,7 @@ def test_msgpack_allowlist_blocks_non_listed(
|
||||
caplog: pytest.LogCaptureFixture,
|
||||
) -> None:
|
||||
"""Allowlists should block unregistered types even if msgpack is enabled."""
|
||||
|
||||
serde = JsonPlusSerializer(
|
||||
allowed_msgpack_modules=[("tests.test_jsonplus", "MyPydantic")]
|
||||
)
|
||||
@@ -997,16 +983,3 @@ 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_sentinel_serde_round_trip() -> None:
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL
|
||||
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
|
||||
|
||||
serde = JsonPlusSerializer()
|
||||
type_tag, blob = serde.dumps_typed(DELTA_SENTINEL)
|
||||
# Zero-byte "delta" tag — no allowlist change needed.
|
||||
assert type_tag == "delta"
|
||||
assert blob == b""
|
||||
loaded = serde.loads_typed((type_tag, blob))
|
||||
assert loaded is DELTA_SENTINEL
|
||||
|
||||
@@ -6,32 +6,19 @@ from langchain_core.runnables import RunnableConfig
|
||||
from pydantic import BaseModel
|
||||
|
||||
from langgraph.checkpoint.base import (
|
||||
DELTA_SENTINEL,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
create_checkpoint,
|
||||
empty_checkpoint,
|
||||
)
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
from langgraph.checkpoint.serde.jsonplus import (
|
||||
JsonPlusSerializer,
|
||||
_warned_blocked_types,
|
||||
_warned_unregistered_types,
|
||||
)
|
||||
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
|
||||
|
||||
|
||||
class MemoryPydantic(BaseModel):
|
||||
foo: str
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def _reset_warned_types() -> None:
|
||||
# Warning dedup state is process-global; reset per-test so each case sees
|
||||
# a fresh slate and assertions about warning emission are stable.
|
||||
_warned_unregistered_types.clear()
|
||||
_warned_blocked_types.clear()
|
||||
|
||||
|
||||
class TestMemorySaver:
|
||||
@pytest.fixture(autouse=True)
|
||||
def setup(self) -> None:
|
||||
@@ -209,6 +196,8 @@ class TestMemorySaver:
|
||||
|
||||
|
||||
async def test_memory_saver() -> None:
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
|
||||
memory_saver = InMemorySaver()
|
||||
assert isinstance(memory_saver, InMemorySaver)
|
||||
|
||||
@@ -319,347 +308,3 @@ 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_load_blobs_returns_sentinel_for_delta_channel(self) -> None:
|
||||
"""_load_blobs returns DELTA_SENTINEL for delta channels (reconstruction deferred)."""
|
||||
saver = InMemorySaver()
|
||||
serde = JsonPlusSerializer()
|
||||
|
||||
thread_id, ns, channel = "t1", "", "messages"
|
||||
v1 = "00000000000000000000000000000001.0000000000000000"
|
||||
|
||||
saver.blobs[(thread_id, ns, channel, v1)] = serde.dumps_typed(DELTA_SENTINEL)
|
||||
|
||||
cp1 = empty_checkpoint()
|
||||
cp1["id"] = "cp1"
|
||||
cp1["channel_versions"][channel] = v1
|
||||
saver.storage[thread_id][ns] = {
|
||||
"cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
|
||||
}
|
||||
|
||||
result = saver._load_blobs(thread_id, ns, {channel: v1})
|
||||
assert channel in result
|
||||
assert result[channel] is DELTA_SENTINEL
|
||||
|
||||
def test_get_channel_writes_collects_ancestor_writes_only(self) -> None:
|
||||
"""_get_channel_writes_history collects ancestor writes oldest→newest,
|
||||
and excludes writes stored at the target checkpoint itself (those are
|
||||
pending writes for the next step, applied separately by pregel)."""
|
||||
saver = InMemorySaver()
|
||||
serde = JsonPlusSerializer()
|
||||
|
||||
thread_id, ns, channel = "t1", "", "messages"
|
||||
|
||||
cp1 = empty_checkpoint()
|
||||
cp1["id"] = "cp1"
|
||||
cp2 = empty_checkpoint()
|
||||
cp2["id"] = "cp2"
|
||||
saver.storage[thread_id][ns] = {
|
||||
"cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
|
||||
"cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
|
||||
}
|
||||
# Writes stored at cp1 produced the cp1 snapshot; part of history.
|
||||
saver.writes[(thread_id, ns, "cp1")][("task1", 0)] = (
|
||||
"task1",
|
||||
channel,
|
||||
serde.dumps_typed({"content": "hi"}),
|
||||
"",
|
||||
)
|
||||
# Writes stored at cp2 are pending — they will produce cp3 when the
|
||||
# step that loaded cp2 completes. They MUST NOT appear in the
|
||||
# reconstructed snapshot value at cp2.
|
||||
saver.writes[(thread_id, ns, "cp2")][("task2", 0)] = (
|
||||
"task2",
|
||||
channel,
|
||||
serde.dumps_typed({"content": "pending"}),
|
||||
"",
|
||||
)
|
||||
|
||||
config: RunnableConfig = {
|
||||
"configurable": {
|
||||
"thread_id": thread_id,
|
||||
"checkpoint_ns": ns,
|
||||
"checkpoint_id": "cp2",
|
||||
}
|
||||
}
|
||||
result = saver._get_channel_writes_history(config, channel)
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
values = [v for _, _, v in result.writes]
|
||||
assert values == [{"content": "hi"}]
|
||||
|
||||
def test_get_channel_writes_at_root_returns_empty(self) -> None:
|
||||
"""Reconstructing the root checkpoint's state: no ancestors → []."""
|
||||
saver = InMemorySaver()
|
||||
serde = JsonPlusSerializer()
|
||||
thread_id, ns, channel = "t1", "", "messages"
|
||||
|
||||
cp1 = empty_checkpoint()
|
||||
cp1["id"] = "cp1"
|
||||
saver.storage[thread_id][ns] = {
|
||||
"cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
|
||||
}
|
||||
saver.writes[(thread_id, ns, "cp1")][("task1", 0)] = (
|
||||
"task1",
|
||||
channel,
|
||||
serde.dumps_typed({"content": "pending"}),
|
||||
"",
|
||||
)
|
||||
|
||||
config: RunnableConfig = {
|
||||
"configurable": {
|
||||
"thread_id": thread_id,
|
||||
"checkpoint_ns": ns,
|
||||
"checkpoint_id": "cp1",
|
||||
}
|
||||
}
|
||||
result = saver._get_channel_writes_history(config, channel)
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
assert result.writes == []
|
||||
|
||||
|
||||
class TestBaseFallbackGetChannelWrites:
|
||||
"""Exercises the `BaseCheckpointSaver._get_channel_writes_history` default
|
||||
implementation — the path third-party savers inherit when they don't
|
||||
override `_get_channel_writes_history` themselves.
|
||||
|
||||
Regression guard for a bug where the fallback passed the caller's config
|
||||
(with `checkpoint_id`) straight to `self.list()`, which most savers
|
||||
collapse to a single row — causing the fallback to return `[]`.
|
||||
"""
|
||||
|
||||
def _build_saver_with_chain(self) -> tuple[InMemorySaver, str, str]:
|
||||
"""Build an InMemorySaver with a 3-checkpoint chain and per-step writes
|
||||
for a `messages` channel.
|
||||
|
||||
Returns `(saver, thread_id, namespace)`. The saver subclass deletes the
|
||||
InMemorySaver override so the base class fallback is exercised.
|
||||
"""
|
||||
|
||||
class _ThirdPartyStyleSaver(InMemorySaver):
|
||||
_get_channel_writes_history = (
|
||||
InMemorySaver.__mro__[1]._get_channel_writes_history # type: ignore[attr-defined]
|
||||
)
|
||||
_aget_channel_writes_history = (
|
||||
InMemorySaver.__mro__[1]._aget_channel_writes_history # type: ignore[attr-defined]
|
||||
)
|
||||
|
||||
saver = _ThirdPartyStyleSaver()
|
||||
serde = JsonPlusSerializer()
|
||||
thread_id, ns, channel = "t1", "", "messages"
|
||||
|
||||
cp0 = empty_checkpoint()
|
||||
cp0["id"] = "00000000000000000000000000000001.0000000000000000"
|
||||
cp1 = empty_checkpoint()
|
||||
cp1["id"] = "00000000000000000000000000000002.0000000000000000"
|
||||
cp2 = empty_checkpoint()
|
||||
cp2["id"] = "00000000000000000000000000000003.0000000000000000"
|
||||
saver.storage[thread_id][ns] = {
|
||||
cp0["id"]: (serde.dumps_typed(cp0), serde.dumps_typed({}), None),
|
||||
cp1["id"]: (serde.dumps_typed(cp1), serde.dumps_typed({}), cp0["id"]),
|
||||
cp2["id"]: (serde.dumps_typed(cp2), serde.dumps_typed({}), cp1["id"]),
|
||||
}
|
||||
# Writes under cp0 produced cp1's state; writes under cp1 produced cp2's.
|
||||
saver.writes[(thread_id, ns, cp0["id"])][("task1", 0)] = (
|
||||
"task1",
|
||||
channel,
|
||||
serde.dumps_typed({"content": "first"}),
|
||||
"",
|
||||
)
|
||||
saver.writes[(thread_id, ns, cp1["id"])][("task2", 0)] = (
|
||||
"task2",
|
||||
channel,
|
||||
serde.dumps_typed({"content": "second"}),
|
||||
"",
|
||||
)
|
||||
return saver, thread_id, ns
|
||||
|
||||
def test_fallback_returns_ancestor_writes_oldest_first(self) -> None:
|
||||
saver, thread_id, ns = self._build_saver_with_chain()
|
||||
target_id = "00000000000000000000000000000003.0000000000000000"
|
||||
config: RunnableConfig = {
|
||||
"configurable": {
|
||||
"thread_id": thread_id,
|
||||
"checkpoint_ns": ns,
|
||||
"checkpoint_id": target_id,
|
||||
}
|
||||
}
|
||||
|
||||
result = saver._get_channel_writes_history(config, "messages")
|
||||
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
values = [v for _, _, v in result.writes]
|
||||
assert values == [{"content": "first"}, {"content": "second"}]
|
||||
|
||||
async def test_async_fallback_returns_ancestor_writes_oldest_first(self) -> None:
|
||||
saver, thread_id, ns = self._build_saver_with_chain()
|
||||
target_id = "00000000000000000000000000000003.0000000000000000"
|
||||
config: RunnableConfig = {
|
||||
"configurable": {
|
||||
"thread_id": thread_id,
|
||||
"checkpoint_ns": ns,
|
||||
"checkpoint_id": target_id,
|
||||
}
|
||||
}
|
||||
|
||||
result = await saver._aget_channel_writes_history(config, "messages")
|
||||
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
values = [v for _, _, v in result.writes]
|
||||
assert values == [{"content": "first"}, {"content": "second"}]
|
||||
|
||||
async def test_async_fallback_concurrent_tasks_do_not_interfere(self) -> None:
|
||||
"""Regression: the re-entrancy guard must be task-local, not thread-local.
|
||||
|
||||
Two concurrent `_aget_channel_writes_history` calls on the same
|
||||
event-loop thread must each see their full reconstructed writes. A
|
||||
`threading.local()` guard would let whichever task set it first
|
||||
short-circuit the other to `writes=[]`.
|
||||
"""
|
||||
import asyncio
|
||||
|
||||
saver, thread_id, ns = self._build_saver_with_chain()
|
||||
|
||||
# Force the two tasks to interleave across the `set(True)` boundary:
|
||||
# each `aget_tuple` yields control, so if the guard were thread-local
|
||||
# the second task would observe `active=True` set by the first.
|
||||
orig_aget_tuple = saver.aget_tuple
|
||||
|
||||
async def slow_aget_tuple(config: RunnableConfig) -> Any:
|
||||
await asyncio.sleep(0)
|
||||
return await orig_aget_tuple(config)
|
||||
|
||||
saver.aget_tuple = slow_aget_tuple # type: ignore[method-assign]
|
||||
|
||||
target_id = "00000000000000000000000000000003.0000000000000000"
|
||||
config: RunnableConfig = {
|
||||
"configurable": {
|
||||
"thread_id": thread_id,
|
||||
"checkpoint_ns": ns,
|
||||
"checkpoint_id": target_id,
|
||||
}
|
||||
}
|
||||
|
||||
results = await asyncio.gather(
|
||||
saver._aget_channel_writes_history(config, "messages"),
|
||||
saver._aget_channel_writes_history(config, "messages"),
|
||||
)
|
||||
|
||||
expected_values = [{"content": "first"}, {"content": "second"}]
|
||||
for result in results:
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
values = [v for _, _, v in result.writes]
|
||||
assert values == expected_values
|
||||
|
||||
|
||||
class TestPreDeltaBlobTerminator:
|
||||
"""Verify the pre-delta blob terminator: when the ancestor walk hits a
|
||||
checkpoint whose blob for the channel is a real value (not
|
||||
DELTA_SENTINEL), reconstruction seeds from it and stops. This guards
|
||||
|
||||
* back-compat: a thread written by pre-delta code, then extended under
|
||||
delta — reconstruction must return the correct value without walking
|
||||
past the last pre-delta ancestor;
|
||||
* perf: without the terminator, every reconstruct-after-migration would
|
||||
walk all the way to the thread root.
|
||||
"""
|
||||
|
||||
def _build_mixed_thread(self) -> tuple[InMemorySaver, str, str, str, str]:
|
||||
"""Three-checkpoint chain: cp1 (pre-delta, blob=[A]), cp2 (delta,
|
||||
write=B), cp3 (delta, write=C). Reconstructing at cp3 must yield
|
||||
seed=[A] + writes=[B, C].
|
||||
|
||||
Returns `(saver, thread_id, ns, channel, cp3_id)`.
|
||||
"""
|
||||
saver = InMemorySaver()
|
||||
serde = JsonPlusSerializer()
|
||||
thread_id, ns, channel = "t1", "", "messages"
|
||||
|
||||
v1 = "00000000000000000000000000000001.0"
|
||||
v2 = "00000000000000000000000000000002.0"
|
||||
v3 = "00000000000000000000000000000003.0"
|
||||
|
||||
# Pre-delta: cp1 stored a real blob for the channel.
|
||||
saver.blobs[(thread_id, ns, channel, v1)] = serde.dumps_typed(["A"])
|
||||
# Delta-era: cp2 and cp3 store sentinels; real writes in checkpoint_writes.
|
||||
saver.blobs[(thread_id, ns, channel, v2)] = serde.dumps_typed(DELTA_SENTINEL)
|
||||
saver.blobs[(thread_id, ns, channel, v3)] = serde.dumps_typed(DELTA_SENTINEL)
|
||||
|
||||
cp1 = empty_checkpoint()
|
||||
cp1["id"] = "cp1"
|
||||
cp1["channel_versions"][channel] = v1
|
||||
cp2 = empty_checkpoint()
|
||||
cp2["id"] = "cp2"
|
||||
cp2["channel_versions"][channel] = v2
|
||||
cp3 = empty_checkpoint()
|
||||
cp3["id"] = "cp3"
|
||||
cp3["channel_versions"][channel] = v3
|
||||
|
||||
saver.storage[thread_id][ns] = {
|
||||
"cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
|
||||
"cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
|
||||
"cp3": (serde.dumps_typed(cp3), serde.dumps_typed({}), "cp2"),
|
||||
}
|
||||
# Write under cp1 would be from the pre-delta era and MUST be ignored
|
||||
# (the blob already captures it). We add one and assert it is not
|
||||
# folded into the reconstructed result.
|
||||
saver.writes[(thread_id, ns, "cp1")][("task0", 0)] = (
|
||||
"task0",
|
||||
channel,
|
||||
serde.dumps_typed("PRE-DELTA-WRITE"),
|
||||
"",
|
||||
)
|
||||
saver.writes[(thread_id, ns, "cp2")][("task2", 0)] = (
|
||||
"task2",
|
||||
channel,
|
||||
serde.dumps_typed("B"),
|
||||
"",
|
||||
)
|
||||
saver.writes[(thread_id, ns, "cp3")][("task3", 0)] = (
|
||||
"task3",
|
||||
channel,
|
||||
serde.dumps_typed("PENDING-AT-TARGET"),
|
||||
"",
|
||||
)
|
||||
return saver, thread_id, ns, channel, "cp3"
|
||||
|
||||
def test_seed_from_pre_delta_ancestor_blob(self) -> None:
|
||||
saver, thread_id, ns, channel, target = self._build_mixed_thread()
|
||||
config: RunnableConfig = {
|
||||
"configurable": {
|
||||
"thread_id": thread_id,
|
||||
"checkpoint_ns": ns,
|
||||
"checkpoint_id": target,
|
||||
}
|
||||
}
|
||||
|
||||
result = saver._get_channel_writes_history(config, channel)
|
||||
|
||||
# Seed came from the pre-delta blob at cp1.
|
||||
assert result.seed == ["A"]
|
||||
# Delta-era writes from cp2 replay through the reducer on top of seed.
|
||||
# cp3 is the target — its own write is pending for the NEXT step and
|
||||
# must be excluded.
|
||||
values = [v for _, _, v in result.writes]
|
||||
assert values == ["B"]
|
||||
|
||||
def test_pre_delta_blob_terminates_walk_before_older_writes(self) -> None:
|
||||
"""Writes stored at the pre-delta ancestor itself must not be replayed
|
||||
(the blob subsumes them)."""
|
||||
saver, thread_id, ns, channel, target = self._build_mixed_thread()
|
||||
config: RunnableConfig = {
|
||||
"configurable": {
|
||||
"thread_id": thread_id,
|
||||
"checkpoint_ns": ns,
|
||||
"checkpoint_id": target,
|
||||
}
|
||||
}
|
||||
|
||||
result = saver._get_channel_writes_history(config, channel)
|
||||
|
||||
values = [v for _, _, v in result.writes]
|
||||
# The pre-delta write under cp1 must not appear (the blob subsumes it).
|
||||
assert "PRE-DELTA-WRITE" not in values
|
||||
# And the pending write at the target is never folded in.
|
||||
assert "PENDING-AT-TARGET" not in values
|
||||
|
||||
Generated
+129
-272
@@ -267,7 +267,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.2.28"
|
||||
version = "1.2.22"
|
||||
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/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
|
||||
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" }
|
||||
wheels = [
|
||||
{ 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" },
|
||||
{ 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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.0.2"
|
||||
version = "4.0.1"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -369,7 +369,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.7.31"
|
||||
version = "0.6.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "httpx" },
|
||||
@@ -379,97 +379,84 @@ dependencies = [
|
||||
{ name = "requests" },
|
||||
{ name = "requests-toolbelt" },
|
||||
{ name = "uuid-utils" },
|
||||
{ name = "xxhash" },
|
||||
{ name = "zstandard" },
|
||||
]
|
||||
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" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e7/85/9c7933052a997da1b85bc5c774f3865e9b1da1c8d71541ea133178b13229/langsmith-0.6.4.tar.gz", hash = "sha256:36f7223a01c218079fbb17da5e536ebbaf5c1468c028abe070aa3ae59bc99ec8", size = 919964, upload-time = "2026-01-15T20:02:28.873Z" }
|
||||
wheels = [
|
||||
{ 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" },
|
||||
{ url = "https://files.pythonhosted.org/packages/66/0f/09a6637a7ba777eb307b7c80852d9ee26438e2bdafbad6fcc849ff9d9192/langsmith-0.6.4-py3-none-any.whl", hash = "sha256:ac4835860160be371042c7adbba3cb267bcf8d96a5ea976c33a8a4acad6c5486", size = 283503, upload-time = "2026-01-15T20:02:26.662Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "librt"
|
||||
version = "0.8.1"
|
||||
version = "0.7.8"
|
||||
source = { registry = "https://pypi.org/simple" }
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||||
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|
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||||
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||||
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|
||||
{ url = "https://files.pythonhosted.org/packages/7b/d9/8d95e906764a386a3d3b596f3c68bb63687dfca806373509f51ce8eea81f/xxhash-3.6.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:15e0dac10eb9309508bfc41f7f9deaa7755c69e35af835db9cb10751adebc35d", size = 31565, upload-time = "2025-10-02T14:37:06.966Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "zstandard"
|
||||
version = "0.25.0"
|
||||
|
||||
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
"langgraph==1.1.5"
|
||||
"langgraph==1.1.2"
|
||||
]
|
||||
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
"langchain-openai==1.1.14"
|
||||
"langchain-openai==1.0.1"
|
||||
]
|
||||
@@ -5,9 +5,9 @@ description = "Test for prerelease stuff"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
"langchain-openai==1.1.14",
|
||||
"langchain-openai==1.0.0a2",
|
||||
"langchain-anthropic==1.0.0a5",
|
||||
"langgraph==1.1.5"
|
||||
"langgraph==1.1.2"
|
||||
]
|
||||
|
||||
[tool.uv]
|
||||
|
||||
@@ -5,7 +5,7 @@ description = "Test for prerelease stuff"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
"langchain-openai==1.1.14",
|
||||
"langchain-openai==1.0.0a2",
|
||||
"langgraph==1.1.2",
|
||||
"langchain_community>=0.3.0",
|
||||
]
|
||||
@@ -159,8 +159,8 @@ def generate_schema():
|
||||
if k not in python_specific_props and k not in node_specific_props
|
||||
]
|
||||
|
||||
# Create legacy Python schema with python_version and pip_config_file
|
||||
legacy_python_schema = {
|
||||
# Create Python schema with python_version and pip_config_file
|
||||
python_schema = {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
# Include Python-specific properties
|
||||
@@ -170,45 +170,10 @@ 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 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",
|
||||
]
|
||||
if "python_version" in python_schema["properties"]:
|
||||
python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12", "3.13"]
|
||||
|
||||
# Create Node.js schema with node_version
|
||||
node_schema = {
|
||||
@@ -221,12 +186,6 @@ 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"]:
|
||||
@@ -243,11 +202,7 @@ def generate_schema():
|
||||
]
|
||||
|
||||
# Replace the Config schema with a oneOf constraint
|
||||
config_schema["oneOf"] = [
|
||||
legacy_python_schema,
|
||||
uv_source_python_schema,
|
||||
node_schema,
|
||||
]
|
||||
config_schema["oneOf"] = [python_schema, node_schema]
|
||||
|
||||
# Remove the properties field as it's now defined in the oneOf subschemas
|
||||
if "properties" in config_schema:
|
||||
|
||||
@@ -21,16 +21,16 @@
|
||||
"test:all": "yarn test && yarn test:int && yarn lint:langgraph"
|
||||
},
|
||||
"dependencies": {
|
||||
"@langchain/core": "^1.1.38",
|
||||
"@langchain/langgraph": "^1.2.6"
|
||||
"@langchain/core": "^1.1.36",
|
||||
"@langchain/langgraph": "^1.2.5"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"eslint": "^10.1.0",
|
||||
"eslint-config-prettier": "^10.1.8",
|
||||
|
||||
+112
-91
@@ -890,10 +890,10 @@
|
||||
"@jridgewell/resolve-uri" "^3.1.0"
|
||||
"@jridgewell/sourcemap-codec" "^1.4.14"
|
||||
|
||||
"@langchain/core@^1.1.38":
|
||||
version "1.1.38"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
|
||||
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|
||||
"@langchain/core@^1.1.36":
|
||||
version "1.1.36"
|
||||
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|
||||
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|
||||
dependencies:
|
||||
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|
||||
"@standard-schema/spec" "^1.1.0"
|
||||
@@ -914,23 +914,23 @@
|
||||
dependencies:
|
||||
uuid "^10.0.0"
|
||||
|
||||
"@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"
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||||
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|
||||
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|
||||
version "1.8.0"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.0.tgz#aa62fd641a4ef964a57cea7a7c11e662e8082fb8"
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||||
dependencies:
|
||||
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|
||||
p-queue "^9.0.1"
|
||||
p-retry "^7.1.1"
|
||||
uuid "^13.0.0"
|
||||
|
||||
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|
||||
version "1.2.6"
|
||||
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||||
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|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.5.tgz#f4285b77baee945092795c2989bdd6589dc5b142"
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||||
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||||
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|
||||
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|
||||
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|
||||
uuid "^10.0.0"
|
||||
|
||||
@@ -1086,6 +1086,11 @@
|
||||
resolved "https://registry.yarnpkg.com/@types/stack-utils/-/stack-utils-2.0.3.tgz#6209321eb2c1712a7e7466422b8cb1fc0d9dd5d8"
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||||
version "10.0.0"
|
||||
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||||
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|
||||
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|
||||
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|
||||
"@types/yargs-parser" "*"
|
||||
|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
ts-api-utils "^2.4.0"
|
||||
|
||||
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||||
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||||
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|
||||
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|
||||
debug "^4.4.3"
|
||||
|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
|
||||
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|
||||
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||||
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|
||||
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|
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|
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semver "^7.7.3"
|
||||
tinyglobby "^0.2.15"
|
||||
ts-api-utils "^2.5.0"
|
||||
ts-api-utils "^2.4.0"
|
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|
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|
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|
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|
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|
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version "8.58.0"
|
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resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.58.0.tgz#2abd55a4be70fd55967aceaba4330b9ba9f45189"
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version "8.57.2"
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eslint-visitor-keys "^5.0.0"
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|
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||||
@@ -1777,6 +1782,13 @@ concat-map@0.0.1:
|
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resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
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console-table-printer@^2.12.1:
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version "2.15.0"
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resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.15.0.tgz#5c808204640b8f024d545bde8aabe5d344dfadc1"
|
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integrity sha512-SrhBq4hYVjLCkBVOWaTzceJalvn5K1Zq5aQA6wXC/cYjI3frKWNPEMK3sZsJfNNQApvCQmgBcc13ZKmFj8qExw==
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dependencies:
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simple-wcswidth "^1.1.2"
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convert-source-map@^2.0.0:
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version "2.0.0"
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resolved "https://registry.yarnpkg.com/convert-source-map/-/convert-source-map-2.0.0.tgz#4b560f649fc4e918dd0ab75cf4961e8bc882d82a"
|
||||
@@ -3676,12 +3688,16 @@ keyv@^4.5.4:
|
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json-buffer "3.0.1"
|
||||
|
||||
"langsmith@>=0.5.0 <1.0.0":
|
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version "0.5.20"
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resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
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integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
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version "0.5.4"
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resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
|
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integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
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dependencies:
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p-queue "6.6.2"
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uuid "10.0.0"
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"@types/uuid" "^10.0.0"
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||||
chalk "^4.1.2"
|
||||
console-table-printer "^2.12.1"
|
||||
p-queue "^6.6.2"
|
||||
semver "^7.6.3"
|
||||
uuid "^10.0.0"
|
||||
|
||||
leven@^3.1.0:
|
||||
version "3.1.0"
|
||||
@@ -3991,7 +4007,7 @@ 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:
|
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version "6.6.2"
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resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
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@@ -4287,7 +4303,7 @@ semver@^6.3.1:
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resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
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integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
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semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3:
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||||
semver@^7.5.3, semver@^7.5.4, semver@^7.6.3, semver@^7.7.2, semver@^7.7.3:
|
||||
version "7.7.4"
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
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@@ -4395,6 +4411,11 @@ signal-exit@^4.0.1:
|
||||
resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.1.0.tgz#952188c1cbd546070e2dd20d0f41c0ae0530cb04"
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simple-wcswidth@^1.1.2:
|
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version "1.1.2"
|
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resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
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slash@^3.0.0:
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||||
version "3.0.0"
|
||||
resolved "https://registry.yarnpkg.com/slash/-/slash-3.0.0.tgz#6539be870c165adbd5240220dbe361f1bc4d4634"
|
||||
@@ -4618,10 +4639,10 @@ to-regex-range@^5.0.1:
|
||||
dependencies:
|
||||
is-number "^7.0.0"
|
||||
|
||||
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==
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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"
|
||||
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|
||||
|
||||
ts-jest@^29.4.6:
|
||||
version "29.4.6"
|
||||
@@ -4849,7 +4870,7 @@ 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==
|
||||
|
||||
@@ -9,8 +9,8 @@
|
||||
},
|
||||
"dependencies": {
|
||||
"@js-monorepo-example/shared": "*",
|
||||
"@langchain/core": "^1.1.38",
|
||||
"@langchain/langgraph": "^1.2.6"
|
||||
"@langchain/core": "^1.1.35",
|
||||
"@langchain/langgraph": "^1.2.5"
|
||||
},
|
||||
"devDependencies": {
|
||||
"typescript": "^5.9.3"
|
||||
|
||||
@@ -17,7 +17,7 @@
|
||||
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
|
||||
},
|
||||
"devDependencies": {
|
||||
"turbo": "^2.9.3",
|
||||
"turbo": "^2.8.20",
|
||||
"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": "^8.58.0",
|
||||
"@typescript-eslint/parser": "^8.58.0",
|
||||
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|
||||
"@typescript-eslint/parser": "^8.57.1",
|
||||
"prettier": "^3.8.1"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -103,10 +103,10 @@
|
||||
resolved "https://registry.yarnpkg.com/@isaacs/cliui/-/cliui-9.0.0.tgz#4d0a3f127058043bf2e7ee169eaf30ed901302f3"
|
||||
integrity sha512-AokJm4tuBHillT+FpMtxQ60n8ObyXBatq7jD2/JA9dxbDDokKQm8KMht5ibGzLVU9IJDIKK4TPKgMHEYMn3lMg==
|
||||
|
||||
"@langchain/core@^1.1.38":
|
||||
version "1.1.38"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
|
||||
integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
|
||||
"@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==
|
||||
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@~1.8.1":
|
||||
version "1.8.3"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
|
||||
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|
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"@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==
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||||
dependencies:
|
||||
"@types/json-schema" "^7.0.15"
|
||||
p-queue "^9.0.1"
|
||||
p-retry "^7.1.1"
|
||||
uuid "^13.0.0"
|
||||
|
||||
"@langchain/langgraph@^1.2.6":
|
||||
version "1.2.6"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
|
||||
integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
|
||||
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||||
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|
||||
dependencies:
|
||||
"@eslint-community/eslint-utils" "^4.9.1"
|
||||
"@typescript-eslint/scope-manager" "8.58.0"
|
||||
"@typescript-eslint/types" "8.58.0"
|
||||
"@typescript-eslint/typescript-estree" "8.58.0"
|
||||
"@typescript-eslint/scope-manager" "8.57.1"
|
||||
"@typescript-eslint/types" "8.57.1"
|
||||
"@typescript-eslint/typescript-estree" "8.57.1"
|
||||
|
||||
"@typescript-eslint/visitor-keys@8.58.0":
|
||||
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==
|
||||
"@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==
|
||||
dependencies:
|
||||
"@typescript-eslint/types" "8.58.0"
|
||||
"@typescript-eslint/types" "8.57.1"
|
||||
eslint-visitor-keys "^5.0.0"
|
||||
|
||||
acorn-jsx@^5.3.2:
|
||||
@@ -338,6 +343,13 @@ 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"
|
||||
@@ -496,11 +508,38 @@ 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"
|
||||
@@ -1020,6 +1059,11 @@ 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"
|
||||
@@ -1328,12 +1372,16 @@ keyv@^4.5.4:
|
||||
json-buffer "3.0.1"
|
||||
|
||||
"langsmith@>=0.5.0 <1.0.0":
|
||||
version "0.5.20"
|
||||
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
|
||||
integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
|
||||
version "0.5.4"
|
||||
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
|
||||
integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
|
||||
dependencies:
|
||||
p-queue "6.6.2"
|
||||
uuid "10.0.0"
|
||||
"@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"
|
||||
|
||||
levn@^0.4.1:
|
||||
version "0.4.1"
|
||||
@@ -1480,7 +1528,7 @@ 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==
|
||||
@@ -1642,6 +1690,11 @@ 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"
|
||||
@@ -1730,6 +1783,11 @@ 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"
|
||||
@@ -1780,6 +1838,13 @@ 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"
|
||||
@@ -1800,10 +1865,10 @@ tinyglobby@^0.2.15:
|
||||
fdir "^6.5.0"
|
||||
picomatch "^4.0.3"
|
||||
|
||||
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-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==
|
||||
|
||||
tsconfig-paths@^3.15.0:
|
||||
version "3.15.0"
|
||||
@@ -1815,17 +1880,17 @@ tsconfig-paths@^3.15.0:
|
||||
minimist "^1.2.6"
|
||||
strip-bom "^3.0.0"
|
||||
|
||||
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==
|
||||
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==
|
||||
optionalDependencies:
|
||||
"@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"
|
||||
"@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"
|
||||
|
||||
type-check@^0.4.0, type-check@~0.4.0:
|
||||
version "0.4.0"
|
||||
@@ -1901,7 +1966,7 @@ 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==
|
||||
|
||||
@@ -1 +1 @@
|
||||
__version__ = "0.4.23"
|
||||
__version__ = "0.4.19"
|
||||
|
||||
@@ -26,15 +26,8 @@ class LogData(TypedDict):
|
||||
params: dict[str, Any]
|
||||
|
||||
|
||||
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
|
||||
def get_anonymized_params(kwargs: dict[str, Any]) -> dict[str, bool]:
|
||||
params = {}
|
||||
|
||||
# anonymize params with values
|
||||
if config := kwargs.get("config"):
|
||||
@@ -95,7 +88,7 @@ def log_command(func):
|
||||
"python_version": platform.python_version(),
|
||||
"cli_version": __version__,
|
||||
"cli_command": func.__name__,
|
||||
"params": get_anonymized_params(kwargs, cli_command=func.__name__),
|
||||
"params": get_anonymized_params(kwargs),
|
||||
}
|
||||
|
||||
background_thread = threading.Thread(target=log_data, args=(data,))
|
||||
|
||||
@@ -1,161 +0,0 @@
|
||||
"""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)
|
||||
+1112
-89
File diff suppressed because it is too large
Load Diff
+129
-271
@@ -3,7 +3,6 @@ import json
|
||||
import os
|
||||
import pathlib
|
||||
import re
|
||||
import shlex
|
||||
import textwrap
|
||||
from collections import Counter
|
||||
from typing import Literal, NamedTuple
|
||||
@@ -11,7 +10,6 @@ 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"
|
||||
@@ -141,14 +139,6 @@ 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."""
|
||||
|
||||
@@ -167,8 +157,6 @@ 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(
|
||||
@@ -182,18 +170,13 @@ 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}.\n\n"
|
||||
"Pin to a minor version, e.g.:\n"
|
||||
' "api_version": "0.8"'
|
||||
) from None
|
||||
raise click.UsageError(f"Invalid version format: {api_version}") 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", []),
|
||||
@@ -224,51 +207,25 @@ 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}.\n\n"
|
||||
f"Set node_version to {MIN_NODE_VERSION} or higher:\n"
|
||||
f' "node_version": "{MIN_NODE_VERSION}"'
|
||||
f"Minimum required version is {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 — patch version cannot be specified.\n\n"
|
||||
f' "python_version": "{fix}"'
|
||||
"Use 'major.minor' format (e.g., '3.11'). "
|
||||
"Patch version cannot be specified."
|
||||
)
|
||||
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}.\n\n"
|
||||
f' "python_version": "{MIN_PYTHON_VERSION}"'
|
||||
f"Minimum required version is {MIN_PYTHON_VERSION}."
|
||||
)
|
||||
if "bullseye" in pyversion:
|
||||
raise click.UsageError(
|
||||
@@ -276,19 +233,15 @@ def validate_config(config: Config) -> Config:
|
||||
"Please use 'bookworm' or 'debian' instead."
|
||||
)
|
||||
|
||||
if source_kind != "uv" and not config["dependencies"]:
|
||||
if not config["dependencies"]:
|
||||
raise click.UsageError(
|
||||
"No dependencies found in config. "
|
||||
"Consider using uv-based source management:\n\n"
|
||||
' "source": {"kind": "uv", "root": ".."}'
|
||||
"Add at least one dependency to 'dependencies' list."
|
||||
)
|
||||
|
||||
if not config.get("graphs"):
|
||||
raise click.UsageError(
|
||||
"No graphs found in config. Add at least one graph, e.g.:\n"
|
||||
' "graphs": {\n'
|
||||
' "agent": "./my_agent/graph.py:graph"\n'
|
||||
" }"
|
||||
"No graphs found in config. Add at least one graph to 'graphs' dictionary."
|
||||
)
|
||||
|
||||
# Validate image_distro config
|
||||
@@ -301,47 +254,16 @@ def validate_config(config: Config) -> Config:
|
||||
if image_distro not in Distros.__args__:
|
||||
raise click.UsageError(
|
||||
f"Invalid image_distro: '{image_distro}'. "
|
||||
f"Must be one of: {', '.join(repr(d) for d in Distros.__args__)}.\n\n"
|
||||
' "image_distro": "wolfi" (recommended)'
|
||||
"Must be one of 'debian', 'wolfi', or 'bookworm'."
|
||||
)
|
||||
|
||||
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)
|
||||
if pip_installer := config.get("pip_installer"):
|
||||
if pip_installer not in ["auto", "pip", "uv"]:
|
||||
raise click.UsageError(
|
||||
"source.kind 'uv' requires a different "
|
||||
f"config shape than dependency-based installs:\n{detail}"
|
||||
f"Invalid pip_installer: '{pip_installer}'. "
|
||||
"Must be 'auto', 'pip', or 'uv'."
|
||||
)
|
||||
|
||||
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"):
|
||||
if "path" in auth_conf:
|
||||
@@ -384,51 +306,6 @@ 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:
|
||||
@@ -930,65 +807,9 @@ def _update_http_app_path(
|
||||
http_config["app"] = f"{module_str}:{attr_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 _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> str:
|
||||
def test_file(file_name):
|
||||
full_path = project_dir / file_name
|
||||
full_path = config_path.parent / file_name
|
||||
try:
|
||||
return full_path.is_file()
|
||||
except OSError:
|
||||
@@ -997,7 +818,7 @@ def _get_node_pm_install_cmd(project_dir: pathlib.Path) -> str:
|
||||
# inspired by `package-manager-detector`
|
||||
def get_pkg_manager_name():
|
||||
try:
|
||||
with open(project_dir / "package.json") as f:
|
||||
with open(config_path.parent / "package.json") as f:
|
||||
pkg = json.load(f)
|
||||
|
||||
if (pkg_manager_name := pkg.get("packageManager")) and isinstance(
|
||||
@@ -1093,17 +914,8 @@ 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"
|
||||
@@ -1116,11 +928,21 @@ def python_config_to_docker(
|
||||
else:
|
||||
raise ValueError(f"Invalid pip_installer: {pip_installer}")
|
||||
|
||||
(
|
||||
local_reqs_pip_install,
|
||||
global_reqs_pip_install,
|
||||
pip_config_file_str,
|
||||
) = _build_python_install_commands(config, install_cmd)
|
||||
# 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 ""
|
||||
)
|
||||
|
||||
# collect dependencies
|
||||
pypi_deps = [dep for dep in config["dependencies"] if not dep.startswith(".")]
|
||||
@@ -1176,7 +998,7 @@ RUN set -ex && \\
|
||||
'[build-system]' \\
|
||||
'requires = ["setuptools>=61"]' \\
|
||||
'build-backend = "setuptools.build_meta"'; do \\
|
||||
echo "$line" >> {shlex.quote(f"/deps/outer-{fullpath.name}/pyproject.toml")}; \\
|
||||
echo "$line" >> /deps/outer-{fullpath.name}/pyproject.toml; \\
|
||||
done
|
||||
# -- End of non-package dependency {fullpath.name} --"""
|
||||
for fullpath, (relpath, destpath) in local_deps.faux_pkgs.items()
|
||||
@@ -1195,50 +1017,56 @@ 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_steps,
|
||||
[
|
||||
install_node_str,
|
||||
pip_config_file_str,
|
||||
pip_pkgs_str,
|
||||
pip_reqs_str,
|
||||
local_pkgs_str,
|
||||
faux_pkgs_str,
|
||||
],
|
||||
)
|
||||
)
|
||||
|
||||
env_vars = _build_runtime_env_vars(config)
|
||||
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'])}'")
|
||||
|
||||
js_inst_str: str = ""
|
||||
if (config.get("ui") or config.get("node_version")) and local_deps.working_dir:
|
||||
@@ -1246,8 +1074,7 @@ ADD {relpath} /deps/{name}
|
||||
[
|
||||
"# -- Installing JS dependencies --",
|
||||
f"ENV NODE_VERSION={config.get('node_version') or DEFAULT_NODE_VERSION}",
|
||||
f"WORKDIR {local_deps.working_dir}",
|
||||
f"RUN {_get_node_pm_install_cmd(config_path.parent)} && tsx /api/langgraph_api/js/build.mts",
|
||||
f"RUN cd {local_deps.working_dir} && {_get_node_pm_install_cmd(config_path, config)} && tsx /api/langgraph_api/js/build.mts",
|
||||
"# -- End of JS dependencies install --",
|
||||
]
|
||||
)
|
||||
@@ -1257,7 +1084,7 @@ ADD {relpath} /deps/{name}
|
||||
docker_file_contents = []
|
||||
|
||||
# Add syntax directive if we have additional contexts (requires BuildKit frontend.contexts capability)
|
||||
if additional_contexts:
|
||||
if local_deps.additional_contexts:
|
||||
docker_file_contents.extend(
|
||||
[
|
||||
"# syntax=docker/dockerfile:1.4",
|
||||
@@ -1267,13 +1094,6 @@ 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}",
|
||||
@@ -1283,7 +1103,13 @@ ADD {relpath} /deps/{name}
|
||||
installs,
|
||||
"",
|
||||
"# -- Installing all local dependencies --",
|
||||
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""",
|
||||
"# -- End of local dependencies install --",
|
||||
os.linesep.join(env_vars),
|
||||
"",
|
||||
@@ -1300,6 +1126,16 @@ 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
|
||||
|
||||
|
||||
@@ -1313,10 +1149,6 @@ 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
|
||||
@@ -1328,32 +1160,60 @@ 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 = _build_runtime_env_vars(config)
|
||||
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'])}'")
|
||||
|
||||
# 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_workdir = container_root
|
||||
install_step = f"RUN {install_cmd}"
|
||||
install_step = f"RUN cd {container_root} && {install_cmd}"
|
||||
|
||||
if build_command:
|
||||
build_step = f"RUN {build_command}"
|
||||
build_step = f"RUN cd {faux_path} && {build_command}"
|
||||
else:
|
||||
build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
|
||||
else:
|
||||
# Original behavior: everything happens in the same directory
|
||||
install_workdir = faux_path
|
||||
install_step = f"RUN {install_cmd}"
|
||||
install_step = f"RUN cd {faux_path} && {install_cmd}"
|
||||
build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
|
||||
|
||||
if build_context:
|
||||
build_workdir = faux_path
|
||||
else:
|
||||
build_workdir = faux_path
|
||||
|
||||
docker_file_contents = [
|
||||
f"FROM {image_str}",
|
||||
"",
|
||||
@@ -1361,13 +1221,11 @@ 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 {build_workdir}",
|
||||
f"WORKDIR {faux_path}",
|
||||
"",
|
||||
build_step,
|
||||
]
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,14 +1,10 @@
|
||||
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()
|
||||
@@ -49,54 +45,6 @@ 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:
|
||||
@@ -328,79 +276,3 @@ 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,
|
||||
)
|
||||
)
|
||||
|
||||
@@ -0,0 +1,59 @@
|
||||
"""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
|
||||
@@ -70,25 +70,7 @@ class HostBackendClient:
|
||||
f"Failed to decode response from {path}: {err}"
|
||||
) from None
|
||||
|
||||
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
|
||||
def create_deployment(self, payload: dict[str, Any]) -> dict[str, Any]:
|
||||
return self._request("POST", "/v2/deployments", payload)
|
||||
|
||||
def list_deployments(self, name_contains: str = "") -> dict[str, Any]:
|
||||
@@ -110,13 +92,6 @@ 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,
|
||||
@@ -124,7 +99,6 @@ 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:
|
||||
@@ -135,36 +109,6 @@ 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",
|
||||
|
||||
@@ -18,9 +18,6 @@ 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):
|
||||
@@ -46,16 +43,13 @@ 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)
|
||||
@@ -66,7 +60,6 @@ class Progress:
|
||||
+ "\b" * (len(message) + 2)
|
||||
)
|
||||
sys.stdout.flush()
|
||||
self._line_clear.set()
|
||||
|
||||
def __enter__(self) -> Callable[[str], None]:
|
||||
if sys.stdout.isatty():
|
||||
@@ -76,8 +69,6 @@ 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:
|
||||
|
||||
@@ -1,7 +1,5 @@
|
||||
from typing import Any, Literal, TypedDict
|
||||
|
||||
from typing_extensions import Required
|
||||
|
||||
Distros = Literal["debian", "wolfi", "bookworm"]
|
||||
MiddlewareOrders = Literal["auth_first", "middleware_first"]
|
||||
|
||||
@@ -11,20 +9,20 @@ 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.
|
||||
"""
|
||||
@@ -38,10 +36,10 @@ 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
|
||||
@@ -54,7 +52,7 @@ 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
|
||||
@@ -64,17 +62,17 @@ 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"]
|
||||
"""
|
||||
@@ -89,18 +87,18 @@ 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.
|
||||
"""
|
||||
@@ -131,11 +129,11 @@ 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": {
|
||||
@@ -180,11 +178,11 @@ 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."""
|
||||
@@ -218,7 +216,7 @@ 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.
|
||||
"""
|
||||
@@ -241,7 +239,7 @@ 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:
|
||||
{
|
||||
@@ -258,7 +256,7 @@ 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:
|
||||
[
|
||||
@@ -269,11 +267,11 @@ 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": {
|
||||
@@ -287,19 +285,19 @@ 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
|
||||
"""
|
||||
@@ -310,19 +308,19 @@ 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": {
|
||||
@@ -343,7 +341,7 @@ class AuthConfig(TypedDict, total=False):
|
||||
"""
|
||||
cache: CacheConfig
|
||||
"""Optional. Cache configuration for the server.
|
||||
|
||||
|
||||
Example:
|
||||
{
|
||||
"cache_keys": ["user_id", "workspace_id"],
|
||||
@@ -382,32 +380,32 @@ 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.
|
||||
"""
|
||||
|
||||
@@ -444,61 +442,61 @@ 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
|
||||
@@ -529,7 +527,7 @@ class HttpConfig(TypedDict, total=False):
|
||||
"""
|
||||
mount_prefix: str
|
||||
"""Optional. URL prefix to prepend to all the routes.
|
||||
|
||||
|
||||
Example:
|
||||
"/api"
|
||||
"""
|
||||
@@ -590,33 +588,11 @@ 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.
|
||||
"""
|
||||
|
||||
@@ -627,7 +603,7 @@ 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."""
|
||||
@@ -638,12 +614,12 @@ 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').
|
||||
"""
|
||||
@@ -651,30 +627,22 @@ 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', or 'uv').
|
||||
|
||||
"""Optional. Python package installer to use ('auto', 'pip', '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",
|
||||
@@ -684,14 +652,12 @@ 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]
|
||||
@@ -716,10 +682,10 @@ 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:
|
||||
@@ -728,13 +694,13 @@ 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).
|
||||
"""
|
||||
|
||||
@@ -767,7 +733,7 @@ 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.
|
||||
"""
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
"""General-purpose utilities shared across the LangGraph CLI."""
|
||||
from collections.abc import Sequence
|
||||
|
||||
import click
|
||||
|
||||
@@ -25,3 +25,67 @@ 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)
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -15,15 +15,13 @@ 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"
|
||||
[project.optional-dependencies]
|
||||
inmem = [
|
||||
"langgraph-api>=0.5.35,<0.9.0 ; python_version >= '3.11'",
|
||||
"langgraph-api>=0.5.35,<0.8.0 ; python_version >= '3.11'",
|
||||
"langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
|
||||
]
|
||||
|
||||
|
||||
@@ -184,28 +184,13 @@
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/UvSource"
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
|
||||
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
@@ -249,240 +234,6 @@
|
||||
"graphs"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"python_version": {
|
||||
"type": "string",
|
||||
"description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
|
||||
"enum": [
|
||||
"3.11",
|
||||
"3.12",
|
||||
"3.13"
|
||||
]
|
||||
},
|
||||
"pip_config_file": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
|
||||
},
|
||||
"_INTERNAL_docker_tag": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Internal use only.\n"
|
||||
},
|
||||
"api_version": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
|
||||
},
|
||||
"auth": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$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": "#/$defs/WebhooksConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"graphs",
|
||||
"source"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
@@ -654,28 +405,13 @@
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/UvSource"
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
|
||||
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
@@ -1170,27 +906,6 @@
|
||||
},
|
||||
"required": []
|
||||
},
|
||||
"UvSource": {
|
||||
"title": "UvSource",
|
||||
"description": "Deployment source rooted at a uv project or workspace.",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"kind": {
|
||||
"enum": [
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
"package": {
|
||||
"type": "string"
|
||||
},
|
||||
"root": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"kind"
|
||||
]
|
||||
},
|
||||
"StoreConfig": {
|
||||
"title": "StoreConfig",
|
||||
"description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",
|
||||
|
||||
@@ -184,28 +184,13 @@
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/UvSource"
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
|
||||
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
@@ -249,240 +234,6 @@
|
||||
"graphs"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"python_version": {
|
||||
"type": "string",
|
||||
"description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
|
||||
"enum": [
|
||||
"3.11",
|
||||
"3.12",
|
||||
"3.13"
|
||||
]
|
||||
},
|
||||
"pip_config_file": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
|
||||
},
|
||||
"_INTERNAL_docker_tag": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Internal use only.\n"
|
||||
},
|
||||
"api_version": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
|
||||
},
|
||||
"auth": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$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": "#/$defs/WebhooksConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"graphs",
|
||||
"source"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
@@ -654,28 +405,13 @@
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/UvSource"
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"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"
|
||||
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
@@ -1170,27 +906,6 @@
|
||||
},
|
||||
"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.",
|
||||
|
||||
@@ -9,7 +9,7 @@ from pathlib import Path
|
||||
|
||||
from click.testing import CliRunner
|
||||
|
||||
import langgraph_cli.deploy as deploy_module
|
||||
import langgraph_cli.cli as cli_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(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_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(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
|
||||
|
||||
result = runner.invoke(
|
||||
cli,
|
||||
@@ -432,7 +432,7 @@ def test_deploy_revisions_list_command(monkeypatch) -> None:
|
||||
]
|
||||
}
|
||||
|
||||
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_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(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_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(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_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(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_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(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_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(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
|
||||
|
||||
result = runner.invoke(
|
||||
cli,
|
||||
|
||||
@@ -1,299 +0,0 @@
|
||||
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"
|
||||
File diff suppressed because it is too large
Load Diff
@@ -6,14 +6,12 @@ import click
|
||||
import httpx
|
||||
import pytest
|
||||
|
||||
from langgraph_cli.deploy import (
|
||||
from langgraph_cli.cli import (
|
||||
_call_host_backend_with_optional_tenant,
|
||||
_docker_config_for_token,
|
||||
_env_without_deployment_name,
|
||||
_normalize_image_name,
|
||||
_normalize_image_tag,
|
||||
_parse_env_from_config,
|
||||
_resolve_env_path,
|
||||
normalize_image_name,
|
||||
normalize_image_tag,
|
||||
)
|
||||
from langgraph_cli.host_backend import HostBackendClient, HostBackendError
|
||||
|
||||
@@ -42,47 +40,47 @@ 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:
|
||||
@@ -139,51 +137,6 @@ 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")
|
||||
|
||||
@@ -121,9 +121,7 @@ def test_request_transport_error_raises():
|
||||
|
||||
|
||||
def test_create_deployment(client):
|
||||
result = client.create_deployment(
|
||||
name="my-deploy", deployment_type="dev", source="internal_docker"
|
||||
)
|
||||
result = client.create_deployment({"name": "my-deploy"})
|
||||
assert result == {"ok": True}
|
||||
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from langgraph_cli.deploy import format_log_entry, format_timestamp, level_fg
|
||||
from langgraph_cli.helpers import format_log_entry, format_timestamp, level_fg
|
||||
|
||||
|
||||
class TestFormatTimestamp:
|
||||
|
||||
@@ -1,11 +1,12 @@
|
||||
from unittest.mock import patch
|
||||
|
||||
from langgraph_cli.deploy import (
|
||||
from langgraph_cli.util 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():
|
||||
|
||||
@@ -1 +0,0 @@
|
||||
OPENAI_API_KEY=
|
||||
@@ -1,12 +0,0 @@
|
||||
{
|
||||
"python_version": "3.12",
|
||||
"graphs": {
|
||||
"agent": "./src/agent/graph.py:graph"
|
||||
},
|
||||
"source": {
|
||||
"kind": "uv",
|
||||
"root": "../..",
|
||||
"package": "agent"
|
||||
},
|
||||
"env": ".env"
|
||||
}
|
||||
@@ -1,20 +0,0 @@
|
||||
[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"
|
||||
@@ -1,31 +0,0 @@
|
||||
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()
|
||||
@@ -1,16 +0,0 @@
|
||||
[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"
|
||||
@@ -1,3 +0,0 @@
|
||||
from .utils import get_dummy_message
|
||||
|
||||
__all__ = ["get_dummy_message"]
|
||||
@@ -1,2 +0,0 @@
|
||||
def get_dummy_message() -> str:
|
||||
return "Hello from shared library!"
|
||||
@@ -1,22 +0,0 @@
|
||||
[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"
|
||||
Generated
-893
@@ -1,893 +0,0 @@
|
||||
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"
|
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version = "0.7.0"
|
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|
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wheels = [
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|
||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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[[package]]
|
||||
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|
||||
[[package]]
|
||||
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@@ -1 +0,0 @@
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OPENAI_API_KEY=
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@@ -1,29 +0,0 @@
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|
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|
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|
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Generated
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|
||||
{ url = "https://files.pythonhosted.org/packages/61/b3/b637faea43677eb7bd42ab204dfb7053bd5c4582bfe6b1baefa80ac0c47b/zstandard-0.25.0-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ca54090275939dc8ec5dea2d2afb400e0f83444b2fc24e07df7fdef677110859", size = 6364818, upload-time = "2025-09-14T22:18:03.769Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/31/dc/cc50210e11e465c975462439a492516a73300ab8caa8f5e0902544fd748b/zstandard-0.25.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e09bb6252b6476d8d56100e8147b803befa9a12cea144bbe629dd508800d1ad0", size = 5560402, upload-time = "2025-09-14T22:18:05.954Z" },
|
||||
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|
||||
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|
||||
{ url = "https://files.pythonhosted.org/packages/1b/c0/59e912a531d91e1c192d3085fc0f6fb2852753c301a812d856d857ea03c6/zstandard-0.25.0-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:f67e8f1a324a900e75b5e28ffb152bcac9fbed1cc7b43f99cd90f395c4375344", size = 5430330, upload-time = "2025-09-14T22:18:11.966Z" },
|
||||
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|
||||
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|
||||
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|
||||
{ url = "https://files.pythonhosted.org/packages/3a/43/241f9615bcf8ba8903b3f0432da069e857fc4fd1783bd26183db53c4804b/zstandard-0.25.0-cp314-cp314-win_amd64.whl", hash = "sha256:c19bcdd826e95671065f8692b5a4aa95c52dc7a02a4c5a0cac46deb879a017a2", size = 516118, upload-time = "2025-09-14T22:18:17.849Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f0/ef/da163ce2450ed4febf6467d77ccb4cd52c4c30ab45624bad26ca0a27260c/zstandard-0.25.0-cp314-cp314-win_arm64.whl", hash = "sha256:d7541afd73985c630bafcd6338d2518ae96060075f9463d7dc14cfb33514383d", size = 476940, upload-time = "2025-09-14T22:18:19.088Z" },
|
||||
]
|
||||
Generated
+727
-831
File diff suppressed because it is too large
Load Diff
@@ -217,16 +217,14 @@ def get_callback_manager_for_config(
|
||||
callbacks.add_tags(all_tags)
|
||||
if metadata := config.get("metadata"):
|
||||
callbacks.add_metadata(metadata)
|
||||
manager = callbacks
|
||||
return callbacks
|
||||
else:
|
||||
# otherwise create a new manager
|
||||
manager = CallbackManager.configure(
|
||||
return 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(
|
||||
@@ -257,16 +255,14 @@ def get_async_callback_manager_for_config(
|
||||
callbacks.add_tags(all_tags)
|
||||
if metadata := config.get("metadata"):
|
||||
callbacks.add_metadata(metadata)
|
||||
manager = callbacks
|
||||
return callbacks
|
||||
else:
|
||||
# otherwise create a new manager
|
||||
manager = AsyncCallbackManager.configure(
|
||||
return 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:
|
||||
@@ -312,54 +308,4 @@ 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",
|
||||
)
|
||||
)
|
||||
|
||||
@@ -1,394 +0,0 @@
|
||||
"""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 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 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,
|
||||
)
|
||||
@@ -1,177 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import copy as _copy
|
||||
from collections.abc import Callable, Sequence
|
||||
from typing import Any, Generic
|
||||
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL, PendingWrite
|
||||
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
|
||||
from langgraph.errors import EmptyChannelError
|
||||
|
||||
__all__ = ("DeltaChannel",)
|
||||
|
||||
|
||||
def _empty(typ: Any) -> Any:
|
||||
try:
|
||||
return typ()
|
||||
except Exception:
|
||||
return []
|
||||
|
||||
|
||||
class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
|
||||
"""Experimental — private API, subject to change or removal without notice.
|
||||
|
||||
Imported from the underscored module `langgraph.channels._delta` on purpose;
|
||||
not re-exported from `langgraph.channels`. Intended for internal use only
|
||||
while we validate the design on real workloads.
|
||||
|
||||
A channel that stores only a sentinel in checkpoints; per-step writes are
|
||||
stored in checkpoint_writes and replayed through the operator at load time.
|
||||
|
||||
Use with append-style reducers (e.g. `add_messages`) on long-running threads
|
||||
to eliminate O(N²) blob growth — storage is O(N) using the writes table that
|
||||
every checkpointer already maintains.
|
||||
|
||||
Reconstruction replays every ancestor write through the operator, so
|
||||
per-get cost scales with thread depth. Compaction for deep threads is
|
||||
a follow-up — today, use this on threads of a few hundred turns.
|
||||
|
||||
Usage::
|
||||
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
|
||||
class State(TypedDict):
|
||||
messages: Annotated[list[AnyMessage], DeltaChannel(add_messages)]
|
||||
"""
|
||||
|
||||
__slots__ = (
|
||||
"value",
|
||||
"operator",
|
||||
)
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
operator: Callable[[Any, Any], Any],
|
||||
) -> None:
|
||||
super().__init__(list)
|
||||
self.operator = operator
|
||||
self.value: Any = []
|
||||
|
||||
def __eq__(self, other: object) -> bool:
|
||||
if not isinstance(other, DeltaChannel):
|
||||
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 self.typ
|
||||
|
||||
@property
|
||||
def UpdateType(self) -> Any:
|
||||
return self.typ
|
||||
|
||||
def copy(self) -> Self:
|
||||
new: DeltaChannel[Value] = DeltaChannel(self.operator)
|
||||
new.typ = self.typ
|
||||
new.key = self.key
|
||||
new.value = self.value if self.value is MISSING else _copy.copy(self.value)
|
||||
return new
|
||||
|
||||
def _apply_write(self, value: Any, write: Any) -> Any:
|
||||
"""Apply one write to `value` and return the new value.
|
||||
|
||||
An `Overwrite` replaces the value; any other write is folded through
|
||||
the operator. Centralizes the Overwrite/reducer branching used by both
|
||||
`update` (live super-step) and `from_checkpoint` (ancestor replay).
|
||||
"""
|
||||
is_overwrite, overwrite_value = _get_overwrite(write)
|
||||
if is_overwrite:
|
||||
return (
|
||||
_copy.copy(overwrite_value)
|
||||
if overwrite_value is not None
|
||||
else _empty(self.typ)
|
||||
)
|
||||
base = _empty(self.typ) if value is MISSING else value
|
||||
return self.operator(base, write)
|
||||
|
||||
def from_checkpoint(self, checkpoint: Any) -> Self:
|
||||
"""Initialize from a seed value.
|
||||
|
||||
Pregel's hydration path calls this with the `seed` returned by
|
||||
`saver.get_channel_history`:
|
||||
|
||||
* `MISSING` / `DELTA_SENTINEL` → channel starts empty. The walk
|
||||
either reached the root (fresh delta thread) or found nothing
|
||||
to seed from.
|
||||
* any other value → use as the base value. Typically a pre-delta
|
||||
blob preserved across a channel-type migration; `replay_writes`
|
||||
folds subsequent deltas on top.
|
||||
"""
|
||||
new: DeltaChannel[Value] = DeltaChannel(self.operator)
|
||||
new.typ = self.typ
|
||||
new.key = self.key
|
||||
if checkpoint is MISSING or checkpoint is DELTA_SENTINEL:
|
||||
new.value = _empty(new.typ)
|
||||
else:
|
||||
new.value = checkpoint
|
||||
return new
|
||||
|
||||
def replay_writes(self, writes: Sequence[PendingWrite]) -> None:
|
||||
"""Fold a sequence of `PendingWrite` tuples into the current value.
|
||||
|
||||
Called after `from_checkpoint` during pregel hydration to replay
|
||||
per-step deltas from on-path ancestors through the reducer. Writes
|
||||
are oldest→newest. `Overwrite` values inside the stream reset the
|
||||
reducer state at that point, same as during a live super-step.
|
||||
The `task_id` and `channel` fields of each `PendingWrite` are
|
||||
ignored — `_get_channel_writes_history` has already filtered to
|
||||
this channel.
|
||||
"""
|
||||
for _, _, value in writes:
|
||||
self.value = self._apply_write(self.value, value)
|
||||
|
||||
def update(self, values: Sequence[Any]) -> bool:
|
||||
if not values:
|
||||
return False
|
||||
seen_overwrite = False
|
||||
for value in values:
|
||||
is_overwrite, _ = _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)
|
||||
seen_overwrite = True
|
||||
elif seen_overwrite:
|
||||
# Post-Overwrite writes within the same super-step are dropped.
|
||||
continue
|
||||
self.value = self._apply_write(self.value, value)
|
||||
return True
|
||||
|
||||
def get(self) -> Any:
|
||||
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:
|
||||
return DELTA_SENTINEL
|
||||
@@ -184,97 +184,63 @@ def add_messages(
|
||||
```
|
||||
|
||||
"""
|
||||
# 1. Coerce scalars to lists.
|
||||
remove_all_idx = None
|
||||
# coerce to list
|
||||
if not isinstance(left, list):
|
||||
left = [left] # type: ignore[assignment]
|
||||
if not isinstance(right, list):
|
||||
right = [right] # type: ignore[assignment]
|
||||
left = cast(list, left)
|
||||
|
||||
# 2. Normalize `left`. After the first call, `left` is the previous return
|
||||
# value of `add_messages` — a list of fully-resolved BaseMessages with
|
||||
# IDs — and needs no work. Fresh user input (dicts, tuples, message
|
||||
# chunks, BaseMessages without IDs) falls through to full conversion.
|
||||
left_msgs: list[BaseMessage]
|
||||
if (
|
||||
left
|
||||
and isinstance(left[0], BaseMessage)
|
||||
and not isinstance(left[0], BaseMessageChunk)
|
||||
and left[0].id is not None
|
||||
):
|
||||
left_msgs = left
|
||||
else:
|
||||
left_msgs = [
|
||||
message_chunk_to_message(cast(BaseMessageChunk, m))
|
||||
for m in convert_to_messages(left)
|
||||
]
|
||||
for m in left_msgs:
|
||||
if m.id is None:
|
||||
m.id = str(uuid.uuid4())
|
||||
|
||||
# 3. Normalize `right` — always fresh input. Assign missing IDs and detect
|
||||
# any RemoveMessage sentinels in a single pass.
|
||||
right_msgs: list[BaseMessage] = [
|
||||
# coerce to message
|
||||
left = [
|
||||
message_chunk_to_message(cast(BaseMessageChunk, m))
|
||||
for m in convert_to_messages(left)
|
||||
]
|
||||
right = [
|
||||
message_chunk_to_message(cast(BaseMessageChunk, m))
|
||||
for m in convert_to_messages(right)
|
||||
]
|
||||
remove_all_idx: int | None = None
|
||||
has_remove = False
|
||||
for idx, m in enumerate(right_msgs):
|
||||
# assign missing ids
|
||||
for m in left:
|
||||
if m.id is None:
|
||||
m.id = str(uuid.uuid4())
|
||||
if isinstance(m, RemoveMessage):
|
||||
has_remove = True
|
||||
if m.id == REMOVE_ALL_MESSAGES:
|
||||
remove_all_idx = idx
|
||||
for idx, m in enumerate(right):
|
||||
if m.id is None:
|
||||
m.id = str(uuid.uuid4())
|
||||
if isinstance(m, RemoveMessage) and m.id == REMOVE_ALL_MESSAGES:
|
||||
remove_all_idx = idx
|
||||
|
||||
# 4. REMOVE_ALL_MESSAGES: discard everything up to and including the sentinel.
|
||||
if remove_all_idx is not None:
|
||||
return right_msgs[remove_all_idx + 1 :]
|
||||
return right[remove_all_idx + 1 :]
|
||||
|
||||
# 5. Decide fast vs. slow path. The fast path (pure append) is only valid
|
||||
# when `right` has no removals, no intra-right duplicate IDs, and no IDs
|
||||
# that overlap with `left` — any of those would force the indexed merge
|
||||
# below to update or dedup.
|
||||
pure_append = False
|
||||
if not has_remove:
|
||||
left_ids = {m.id for m in left_msgs}
|
||||
right_ids = {m.id for m in right_msgs}
|
||||
pure_append = len(right_ids) == len(right_msgs) and right_ids.isdisjoint(
|
||||
left_ids
|
||||
)
|
||||
|
||||
if pure_append:
|
||||
merged = left_msgs + right_msgs
|
||||
else:
|
||||
# 6. Slow path: build id→index map over `left`, then replay `right`.
|
||||
# In-place replacement for matching IDs, append for new IDs, and a
|
||||
# deferred removal pass so RemoveMessages can target either side.
|
||||
merged = left_msgs.copy()
|
||||
merged_by_id = {m.id: i for i, m in enumerate(merged)}
|
||||
ids_to_remove = set()
|
||||
for m in right_msgs:
|
||||
if (existing_idx := merged_by_id.get(m.id)) is not None:
|
||||
if isinstance(m, RemoveMessage):
|
||||
ids_to_remove.add(m.id)
|
||||
else:
|
||||
ids_to_remove.discard(m.id)
|
||||
merged[existing_idx] = m
|
||||
# merge
|
||||
merged = left.copy()
|
||||
merged_by_id = {m.id: i for i, m in enumerate(merged)}
|
||||
ids_to_remove = set()
|
||||
for m in right:
|
||||
if (existing_idx := merged_by_id.get(m.id)) is not None:
|
||||
if isinstance(m, RemoveMessage):
|
||||
ids_to_remove.add(m.id)
|
||||
else:
|
||||
if isinstance(m, RemoveMessage):
|
||||
raise ValueError(
|
||||
f"Attempting to delete a message with an ID that doesn't exist ('{m.id}')"
|
||||
)
|
||||
merged_by_id[m.id] = len(merged)
|
||||
merged.append(m)
|
||||
merged = [m for m in merged if m.id not in ids_to_remove]
|
||||
ids_to_remove.discard(m.id)
|
||||
merged[existing_idx] = m
|
||||
else:
|
||||
if isinstance(m, RemoveMessage):
|
||||
raise ValueError(
|
||||
f"Attempting to delete a message with an ID that doesn't exist ('{m.id}')"
|
||||
)
|
||||
|
||||
merged_by_id[m.id] = len(merged)
|
||||
merged.append(m)
|
||||
merged = [m for m in merged if m.id not in ids_to_remove]
|
||||
|
||||
# 7. Apply optional output format.
|
||||
if format == "langchain-openai":
|
||||
return _format_messages(merged)
|
||||
if format:
|
||||
merged = _format_messages(merged)
|
||||
elif format:
|
||||
msg = f"Unrecognized {format=}. Expected one of 'langchain-openai', None."
|
||||
raise ValueError(msg)
|
||||
else:
|
||||
pass
|
||||
|
||||
return merged
|
||||
|
||||
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import collections.abc
|
||||
import inspect
|
||||
import logging
|
||||
import typing
|
||||
@@ -48,8 +47,7 @@ from langgraph._internal._pydantic import create_model
|
||||
from langgraph._internal._runnable import coerce_to_runnable
|
||||
from langgraph._internal._typing import EMPTY_SEQ, MISSING, DeprecatedKwargs
|
||||
from langgraph.channels.base import BaseChannel
|
||||
from langgraph.channels.binop import BinaryOperatorAggregate, _strip_extras
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
from langgraph.channels.binop import BinaryOperatorAggregate
|
||||
from langgraph.channels.ephemeral_value import EphemeralValue
|
||||
from langgraph.channels.last_value import LastValue, LastValueAfterFinish
|
||||
from langgraph.channels.named_barrier_value import (
|
||||
@@ -1084,7 +1082,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
CompiledStateGraph: The compiled `StateGraph`.
|
||||
"""
|
||||
checkpointer = ensure_valid_checkpointer(checkpointer)
|
||||
|
||||
serde_allowlist: set[tuple[str, ...]] | None = None
|
||||
if _serde.STRICT_MSGPACK_ENABLED:
|
||||
schema_types: list[type[Any]] = [
|
||||
@@ -1670,36 +1667,6 @@ def _is_field_channel(typ: type[Any]) -> BaseChannel | None:
|
||||
# Search through all annotated medata to find channel annotations
|
||||
for item in meta:
|
||||
if isinstance(item, BaseChannel):
|
||||
if isinstance(item, DeltaChannel) and hasattr(typ, "__origin__"):
|
||||
origin = typ.__origin__
|
||||
# Unwrap parameterized Required[X]/NotRequired[X] to X
|
||||
# (e.g. Annotated[NotRequired[dict[...]], ...]).
|
||||
if hasattr(origin, "__origin__") and origin.__origin__ in (
|
||||
Required,
|
||||
NotRequired,
|
||||
):
|
||||
origin = origin.__args__[0]
|
||||
outer = _strip_extras(origin)
|
||||
if outer in (
|
||||
collections.abc.Sequence,
|
||||
collections.abc.MutableSequence,
|
||||
):
|
||||
outer = list
|
||||
elif outer in (
|
||||
collections.abc.Mapping,
|
||||
collections.abc.MutableMapping,
|
||||
):
|
||||
outer = dict
|
||||
elif outer in (
|
||||
collections.abc.Set,
|
||||
collections.abc.MutableSet,
|
||||
):
|
||||
outer = set
|
||||
item.typ = outer
|
||||
try:
|
||||
item.value = outer()
|
||||
except Exception:
|
||||
item.value = []
|
||||
return item
|
||||
elif isclass(item) and issubclass(item, BaseChannel):
|
||||
# ex, Annotated[int, EphemeralValue, SomeOtherAnnotation]
|
||||
|
||||
@@ -45,7 +45,6 @@ from langgraph._internal._constants import (
|
||||
CONFIG_KEY_SCRATCHPAD,
|
||||
CONFIG_KEY_SEND,
|
||||
CONFIG_KEY_TASK_ID,
|
||||
CONFIG_KEY_THREAD_ID,
|
||||
ERROR,
|
||||
INTERRUPT,
|
||||
NO_WRITES,
|
||||
@@ -71,7 +70,7 @@ 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, ExecutionInfo, Runtime
|
||||
from langgraph.runtime import DEFAULT_RUNTIME, Runtime
|
||||
from langgraph.types import (
|
||||
All,
|
||||
CacheKey,
|
||||
@@ -669,13 +668,6 @@ 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,
|
||||
@@ -821,16 +813,7 @@ def prepare_push_task_functional(
|
||||
stop,
|
||||
)
|
||||
runtime = cast(Runtime, configurable.get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME))
|
||||
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,
|
||||
),
|
||||
)
|
||||
runtime = runtime.override(store=store)
|
||||
return PregelExecutableTask(
|
||||
name,
|
||||
call.input,
|
||||
@@ -983,15 +966,7 @@ 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),
|
||||
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,
|
||||
),
|
||||
store=store, previous=checkpoint["channel_values"].get(PREVIOUS, None)
|
||||
)
|
||||
additional_config: RunnableConfig = {
|
||||
"metadata": metadata,
|
||||
|
||||
@@ -3,13 +3,11 @@ from __future__ import annotations
|
||||
from collections.abc import Mapping
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL, BaseCheckpointSaver, Checkpoint
|
||||
from langgraph.checkpoint.base import Checkpoint
|
||||
from langgraph.checkpoint.base.id import uuid6
|
||||
|
||||
from langgraph._internal._typing import MISSING
|
||||
from langgraph.channels.base import BaseChannel
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
from langgraph.managed.base import ManagedValueMapping, ManagedValueSpec
|
||||
|
||||
LATEST_VERSION = 4
|
||||
@@ -60,22 +58,8 @@ def create_checkpoint(
|
||||
def channels_from_checkpoint(
|
||||
specs: Mapping[str, BaseChannel | ManagedValueSpec],
|
||||
checkpoint: Checkpoint,
|
||||
*,
|
||||
saver: BaseCheckpointSaver | None = None,
|
||||
config: RunnableConfig | None = None,
|
||||
) -> tuple[Mapping[str, BaseChannel], ManagedValueMapping]:
|
||||
"""Hydrate channels from a checkpoint.
|
||||
|
||||
For most channels, `spec.from_checkpoint(checkpoint["channel_values"][k])`
|
||||
is sufficient — the stored value IS the reconstructed state.
|
||||
|
||||
`DeltaChannel` is the exception: its stored value is a sentinel; the
|
||||
full state is spread across `checkpoint_writes` along the ancestor
|
||||
chain. When `saver` and `config` are provided, this function fetches
|
||||
that history via `saver._get_channel_writes_history` and folds it
|
||||
through the channel's reducer. Without them (static contexts — graph
|
||||
drawing, unit tests), delta channels fall back to empty.
|
||||
"""
|
||||
"""Get channels from a checkpoint."""
|
||||
channel_specs: dict[str, BaseChannel] = {}
|
||||
managed_specs: dict[str, ManagedValueSpec] = {}
|
||||
for k, v in specs.items():
|
||||
@@ -83,67 +67,13 @@ def channels_from_checkpoint(
|
||||
channel_specs[k] = v
|
||||
else:
|
||||
managed_specs[k] = v
|
||||
|
||||
channels: dict[str, BaseChannel] = {}
|
||||
for k, spec in channel_specs.items():
|
||||
ch: BaseChannel
|
||||
stored = checkpoint["channel_values"].get(k, MISSING)
|
||||
if (
|
||||
isinstance(spec, DeltaChannel)
|
||||
and saver is not None
|
||||
and config is not None
|
||||
and (stored is MISSING or stored is DELTA_SENTINEL)
|
||||
):
|
||||
# Target's own blob is empty/sentinel — walk ancestors for
|
||||
# seed + writes. Skipping this when `stored` is a real value
|
||||
# preserves state written via `update_state` or sitting at the
|
||||
# tip of a pre-migration thread: the saver's ancestor walk
|
||||
# intentionally excludes the target's own blob, so without
|
||||
# this short-circuit we'd lose it.
|
||||
history = saver._get_channel_writes_history(config, k)
|
||||
delta_ch = spec.from_checkpoint(history.seed)
|
||||
delta_ch.replay_writes(history.writes)
|
||||
ch = delta_ch
|
||||
else:
|
||||
ch = spec.from_checkpoint(stored)
|
||||
channels[k] = ch
|
||||
return channels, managed_specs
|
||||
|
||||
|
||||
async def achannels_from_checkpoint(
|
||||
specs: Mapping[str, BaseChannel | ManagedValueSpec],
|
||||
checkpoint: Checkpoint,
|
||||
*,
|
||||
saver: BaseCheckpointSaver | None = None,
|
||||
config: RunnableConfig | None = None,
|
||||
) -> tuple[Mapping[str, BaseChannel], ManagedValueMapping]:
|
||||
"""Async version of `channels_from_checkpoint`. See docstring there."""
|
||||
channel_specs: dict[str, BaseChannel] = {}
|
||||
managed_specs: dict[str, ManagedValueSpec] = {}
|
||||
for k, v in specs.items():
|
||||
if isinstance(v, BaseChannel):
|
||||
channel_specs[k] = v
|
||||
else:
|
||||
managed_specs[k] = v
|
||||
|
||||
channels: dict[str, BaseChannel] = {}
|
||||
for k, spec in channel_specs.items():
|
||||
ch: BaseChannel
|
||||
stored = checkpoint["channel_values"].get(k, MISSING)
|
||||
if (
|
||||
isinstance(spec, DeltaChannel)
|
||||
and saver is not None
|
||||
and config is not None
|
||||
and (stored is MISSING or stored is DELTA_SENTINEL)
|
||||
):
|
||||
history = await saver._aget_channel_writes_history(config, k)
|
||||
delta_ch = spec.from_checkpoint(history.seed)
|
||||
delta_ch.replay_writes(history.writes)
|
||||
ch = delta_ch
|
||||
else:
|
||||
ch = spec.from_checkpoint(stored)
|
||||
channels[k] = ch
|
||||
return channels, managed_specs
|
||||
return (
|
||||
{
|
||||
k: v.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
|
||||
for k, v in channel_specs.items()
|
||||
},
|
||||
managed_specs,
|
||||
)
|
||||
|
||||
|
||||
def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
|
||||
|
||||
@@ -62,11 +62,6 @@ 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
|
||||
@@ -92,7 +87,6 @@ from langgraph.pregel._algo import (
|
||||
task_path_str,
|
||||
)
|
||||
from langgraph.pregel._checkpoint import (
|
||||
achannels_from_checkpoint,
|
||||
channels_from_checkpoint,
|
||||
copy_checkpoint,
|
||||
create_checkpoint,
|
||||
@@ -123,7 +117,6 @@ from langgraph.types import (
|
||||
CachePolicy,
|
||||
Command,
|
||||
Durability,
|
||||
Interrupt,
|
||||
PregelExecutableTask,
|
||||
RetryPolicy,
|
||||
Send,
|
||||
@@ -210,8 +203,6 @@ 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
|
||||
|
||||
@@ -237,7 +228,6 @@ 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
|
||||
@@ -262,8 +252,6 @@ 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)
|
||||
@@ -315,40 +303,6 @@ 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:
|
||||
@@ -693,7 +647,7 @@ 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.
|
||||
is_time_traveling = self.is_replaying and (
|
||||
if 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.
|
||||
@@ -711,8 +665,7 @@ 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
|
||||
]
|
||||
@@ -767,26 +720,6 @@ 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
|
||||
@@ -829,28 +762,14 @@ 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/fork), use the fork's parent
|
||||
# parent. For forks (source=update), use the fork's parent
|
||||
# checkpoint ID since the fork was created after the subgraph's
|
||||
# checkpoints from the original execution.
|
||||
#
|
||||
# Only gate on is_time_traveling (not is_replaying). When the
|
||||
# client resumes with an explicit checkpoint_id that happens to
|
||||
# point at the current head (e.g. LangGraph Studio sending
|
||||
# `checkpoint: {checkpoint_id}` alongside Command(resume=...)),
|
||||
# is_replaying is True but is_time_traveling is False. In that
|
||||
# case subgraphs should load their latest checkpoint normally,
|
||||
# not go through ReplayState's before-bound lookup which would
|
||||
# miss subgraph checkpoints created during processing of the
|
||||
# current parent step.
|
||||
replay_state: ReplayState | None = None
|
||||
if is_time_traveling:
|
||||
if self.is_replaying:
|
||||
replay_checkpoint_id = self.checkpoint["id"]
|
||||
if (
|
||||
self.checkpoint_metadata.get("source")
|
||||
in (
|
||||
"update",
|
||||
"fork",
|
||||
)
|
||||
self.checkpoint_metadata.get("source") == "update"
|
||||
and self.prev_checkpoint_config
|
||||
):
|
||||
replay_checkpoint_id = self.prev_checkpoint_config[CONF].get(
|
||||
@@ -866,8 +785,6 @@ 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:
|
||||
@@ -968,10 +885,8 @@ class PregelLoop:
|
||||
self._put_checkpoint(self.checkpoint_metadata)
|
||||
self._put_pending_writes()
|
||||
# suppress interrupt
|
||||
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)
|
||||
suppress = isinstance(exc_value, GraphInterrupt) and not self.is_nested
|
||||
if suppress:
|
||||
# emit one last "values" event, with pending writes applied
|
||||
if (
|
||||
hasattr(self, "tasks")
|
||||
@@ -998,11 +913,12 @@ class PregelLoop:
|
||||
self.channels,
|
||||
)
|
||||
# emit INTERRUPT if exception is empty (otherwise emitted by put_writes)
|
||||
if not interrupt.args or not interrupt.args[0]:
|
||||
interrupt_payload = interrupt.args[0] if interrupt.args else ()
|
||||
if exc_value is not None and (not exc_value.args or not exc_value.args[0]):
|
||||
self._emit(
|
||||
"updates",
|
||||
lambda: iter([{INTERRUPT: interrupt_payload}]),
|
||||
lambda: iter(
|
||||
[{INTERRUPT: cast(GraphInterrupt, exc_value).args[0]}]
|
||||
),
|
||||
)
|
||||
# save final output
|
||||
self.output = read_channels(self.channels, self.output_keys)
|
||||
@@ -1124,7 +1040,6 @@ 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,
|
||||
@@ -1146,7 +1061,6 @@ 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:
|
||||
@@ -1222,7 +1136,6 @@ 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):
|
||||
@@ -1274,10 +1187,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
|
||||
)
|
||||
self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
|
||||
self.channels, self.managed = channels_from_checkpoint(
|
||||
self.specs,
|
||||
self.checkpoint,
|
||||
saver=self.checkpointer,
|
||||
config=self.checkpoint_config,
|
||||
self.specs, self.checkpoint
|
||||
)
|
||||
self.stack.push(self._suppress_interrupt)
|
||||
self.status = "input"
|
||||
@@ -1326,7 +1236,6 @@ 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,
|
||||
@@ -1348,7 +1257,6 @@ 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:
|
||||
@@ -1427,7 +1335,6 @@ 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):
|
||||
@@ -1480,11 +1387,8 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
self.submit = await self.stack.enter_async_context(
|
||||
AsyncBackgroundExecutor(self.config)
|
||||
)
|
||||
self.channels, self.managed = await achannels_from_checkpoint(
|
||||
self.specs,
|
||||
self.checkpoint,
|
||||
saver=self.checkpointer,
|
||||
config=self.checkpoint_config,
|
||||
self.channels, self.managed = channels_from_checkpoint(
|
||||
self.specs, self.checkpoint
|
||||
)
|
||||
self.stack.push(self._suppress_interrupt)
|
||||
self.status = "input"
|
||||
|
||||
@@ -9,51 +9,22 @@ 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 ExecutionInfo, Runtime
|
||||
from langgraph.runtime import 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.
|
||||
|
||||
@@ -97,7 +68,6 @@ 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,
|
||||
{
|
||||
@@ -202,7 +172,6 @@ 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,
|
||||
{
|
||||
|
||||
@@ -16,7 +16,7 @@ from collections.abc import (
|
||||
Mapping,
|
||||
Sequence,
|
||||
)
|
||||
from dataclasses import is_dataclass, replace
|
||||
from dataclasses import is_dataclass
|
||||
from functools import partial
|
||||
from inspect import isclass
|
||||
from typing import (
|
||||
@@ -96,12 +96,6 @@ 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
|
||||
@@ -122,7 +116,6 @@ from langgraph.pregel._algo import (
|
||||
)
|
||||
from langgraph.pregel._call import identifier
|
||||
from langgraph.pregel._checkpoint import (
|
||||
achannels_from_checkpoint,
|
||||
channels_from_checkpoint,
|
||||
copy_checkpoint,
|
||||
create_checkpoint,
|
||||
@@ -143,12 +136,7 @@ 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,
|
||||
BaseUser,
|
||||
Runtime,
|
||||
ServerInfo,
|
||||
)
|
||||
from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
|
||||
from langgraph.types import (
|
||||
All,
|
||||
CachePolicy,
|
||||
@@ -1053,10 +1041,6 @@ class Pregel(
|
||||
channels, managed = channels_from_checkpoint(
|
||||
self.channels,
|
||||
saved.checkpoint,
|
||||
saver=self.checkpointer
|
||||
if isinstance(self.checkpointer, BaseCheckpointSaver)
|
||||
else None,
|
||||
config=saved.config,
|
||||
)
|
||||
# tasks for this checkpoint
|
||||
next_tasks = prepare_next_tasks(
|
||||
@@ -1173,13 +1157,9 @@ class Pregel(
|
||||
|
||||
step = saved.metadata.get("step", -1) + 1
|
||||
stop = step + 2
|
||||
channels, managed = await achannels_from_checkpoint(
|
||||
channels, managed = channels_from_checkpoint(
|
||||
self.channels,
|
||||
saved.checkpoint,
|
||||
saver=self.checkpointer
|
||||
if isinstance(self.checkpointer, BaseCheckpointSaver)
|
||||
else None,
|
||||
config=saved.config,
|
||||
)
|
||||
# tasks for this checkpoint
|
||||
next_tasks = prepare_next_tasks(
|
||||
@@ -1550,11 +1530,6 @@ class Pregel(
|
||||
channels, managed = channels_from_checkpoint(
|
||||
self.channels,
|
||||
checkpoint,
|
||||
saver=self.checkpointer
|
||||
if saved is not None
|
||||
and isinstance(self.checkpointer, BaseCheckpointSaver)
|
||||
else None,
|
||||
config=saved.config if saved is not None else None,
|
||||
)
|
||||
values, as_node = updates[0][:2]
|
||||
|
||||
@@ -1998,14 +1973,9 @@ class Pregel(
|
||||
)
|
||||
if saved:
|
||||
checkpoint_config = patch_configurable(config, saved.config[CONF])
|
||||
channels, managed = await achannels_from_checkpoint(
|
||||
channels, managed = channels_from_checkpoint(
|
||||
self.channels,
|
||||
checkpoint,
|
||||
saver=self.checkpointer
|
||||
if saved is not None
|
||||
and isinstance(self.checkpointer, BaseCheckpointSaver)
|
||||
else None,
|
||||
config=saved.config if saved is not None else None,
|
||||
)
|
||||
values, as_node = updates[0][:2]
|
||||
# no values, just clear all tasks
|
||||
@@ -2610,10 +2580,6 @@ 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
|
||||
(
|
||||
@@ -2679,18 +2645,14 @@ 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=None,
|
||||
server_info=server_info,
|
||||
execution_info=ExecutionInfo(),
|
||||
)
|
||||
parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
|
||||
runtime = parent_runtime.merge(runtime)
|
||||
config[CONF][CONFIG_KEY_RUNTIME] = runtime
|
||||
|
||||
@@ -2698,17 +2660,6 @@ 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),
|
||||
@@ -2729,9 +2680,7 @@ 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(
|
||||
@@ -2793,11 +2742,9 @@ 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,
|
||||
@@ -2972,10 +2919,6 @@ 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(
|
||||
@@ -3071,18 +3014,14 @@ 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=None,
|
||||
server_info=server_info,
|
||||
execution_info=ExecutionInfo(),
|
||||
)
|
||||
parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
|
||||
runtime = parent_runtime.merge(runtime)
|
||||
config[CONF][CONFIG_KEY_RUNTIME] = runtime
|
||||
|
||||
@@ -3090,28 +3029,6 @@ 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),
|
||||
@@ -3132,9 +3049,7 @@ 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(
|
||||
@@ -3216,7 +3131,6 @@ 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)
|
||||
@@ -3225,8 +3139,6 @@ 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,
|
||||
@@ -3731,37 +3643,6 @@ 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:
|
||||
|
||||
@@ -1,10 +1,9 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import dataclass, field, replace
|
||||
from typing import Any, Generic, cast
|
||||
from typing import Any, Generic, NamedTuple, 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
|
||||
@@ -12,38 +11,12 @@ from langgraph.config import get_config
|
||||
from langgraph.types import _DC_KWARGS, StreamWriter
|
||||
from langgraph.typing import ContextT
|
||||
|
||||
__all__ = (
|
||||
"BaseUser",
|
||||
"ExecutionInfo",
|
||||
"Runtime",
|
||||
"ServerInfo",
|
||||
"get_runtime",
|
||||
)
|
||||
__all__ = ("ExecutionInfo", "Runtime", "get_runtime")
|
||||
|
||||
|
||||
@dataclass(frozen=True, slots=True)
|
||||
class ExecutionInfo:
|
||||
class ExecutionInfo(NamedTuple):
|
||||
"""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)."""
|
||||
|
||||
@@ -52,26 +25,7 @@ class ExecutionInfo:
|
||||
|
||||
def patch(self, **overrides: Any) -> ExecutionInfo:
|
||||
"""Return a new execution info object with selected fields replaced."""
|
||||
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"]`).
|
||||
"""
|
||||
return self._replace(**overrides)
|
||||
|
||||
|
||||
def _no_op_stream_writer(_: Any) -> None: ...
|
||||
@@ -83,7 +37,6 @@ class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
|
||||
stream_writer: StreamWriter
|
||||
previous: Any
|
||||
execution_info: ExecutionInfo
|
||||
server_info: ServerInfo | None
|
||||
|
||||
|
||||
@dataclass(**_DC_KWARGS)
|
||||
@@ -177,13 +130,8 @@ class Runtime(Generic[ContextT]):
|
||||
Only available with the functional API when a checkpointer is provided.
|
||||
"""
|
||||
|
||||
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."""
|
||||
execution_info: ExecutionInfo = field(default_factory=ExecutionInfo)
|
||||
"""Read-only execution information/metadata for the current node run."""
|
||||
|
||||
def merge(self, other: Runtime[ContextT]) -> Runtime[ContextT]:
|
||||
"""Merge two runtimes together.
|
||||
@@ -197,8 +145,7 @@ 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 or self.execution_info,
|
||||
server_info=other.server_info or self.server_info,
|
||||
execution_info=other.execution_info,
|
||||
)
|
||||
|
||||
def override(
|
||||
@@ -209,9 +156,6 @@ 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),
|
||||
@@ -223,7 +167,7 @@ DEFAULT_RUNTIME = Runtime(
|
||||
store=None,
|
||||
stream_writer=_no_op_stream_writer,
|
||||
previous=None,
|
||||
execution_info=None,
|
||||
execution_info=ExecutionInfo(),
|
||||
)
|
||||
|
||||
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph"
|
||||
version = "1.1.9"
|
||||
version = "1.1.4"
|
||||
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>=1.3.0,<2",
|
||||
"langchain-core>=0.1",
|
||||
"langgraph-checkpoint>=2.1.0,<5.0.0",
|
||||
"langgraph-sdk>=0.3.0,<0.4.0",
|
||||
"langgraph-prebuilt>=1.0.9,<1.1.0",
|
||||
"langgraph-prebuilt>=1.0.8,<1.1.0",
|
||||
"xxhash>=3.5.0",
|
||||
"pydantic>=2.7.4",
|
||||
]
|
||||
|
||||
@@ -1,290 +0,0 @@
|
||||
"""Benchmark: add_messages fast-path optimizations.
|
||||
|
||||
Both implementations are inlined so the benchmark is self-contained and
|
||||
immune to import-cache or installed-vs-local confusion.
|
||||
|
||||
Run directly:
|
||||
python tests/test_add_messages_benchmark.py
|
||||
|
||||
Or via pytest (correctness only, numbers printed to stdout):
|
||||
pytest tests/test_add_messages_benchmark.py -s -v
|
||||
"""
|
||||
|
||||
import statistics
|
||||
import time
|
||||
import tracemalloc
|
||||
import uuid
|
||||
from typing import cast
|
||||
|
||||
from langchain_core.messages import (
|
||||
AIMessage,
|
||||
BaseMessage,
|
||||
BaseMessageChunk,
|
||||
HumanMessage,
|
||||
RemoveMessage,
|
||||
convert_to_messages,
|
||||
message_chunk_to_message,
|
||||
)
|
||||
|
||||
from langgraph.graph.message import REMOVE_ALL_MESSAGES
|
||||
|
||||
# ── original implementation (pre-optimisation) ────────────────────────────────
|
||||
|
||||
|
||||
def _add_messages_original(left, right):
|
||||
remove_all_idx = None
|
||||
if not isinstance(left, list):
|
||||
left = [left]
|
||||
if not isinstance(right, list):
|
||||
right = [right]
|
||||
left = [
|
||||
message_chunk_to_message(cast(BaseMessageChunk, m))
|
||||
for m in convert_to_messages(left)
|
||||
]
|
||||
right = [
|
||||
message_chunk_to_message(cast(BaseMessageChunk, m))
|
||||
for m in convert_to_messages(right)
|
||||
]
|
||||
for m in left:
|
||||
if m.id is None:
|
||||
m.id = str(uuid.uuid4())
|
||||
for idx, m in enumerate(right):
|
||||
if m.id is None:
|
||||
m.id = str(uuid.uuid4())
|
||||
if isinstance(m, RemoveMessage) and m.id == REMOVE_ALL_MESSAGES:
|
||||
remove_all_idx = idx
|
||||
if remove_all_idx is not None:
|
||||
return right[remove_all_idx + 1 :]
|
||||
merged = left.copy()
|
||||
merged_by_id = {m.id: i for i, m in enumerate(merged)}
|
||||
ids_to_remove = set()
|
||||
for m in right:
|
||||
if (existing_idx := merged_by_id.get(m.id)) is not None:
|
||||
if isinstance(m, RemoveMessage):
|
||||
ids_to_remove.add(m.id)
|
||||
else:
|
||||
ids_to_remove.discard(m.id)
|
||||
merged[existing_idx] = m
|
||||
else:
|
||||
if isinstance(m, RemoveMessage):
|
||||
raise ValueError(
|
||||
f"Attempting to delete a message with an ID that doesn't exist ('{m.id}')"
|
||||
)
|
||||
merged_by_id[m.id] = len(merged)
|
||||
merged.append(m)
|
||||
return [m for m in merged if m.id not in ids_to_remove]
|
||||
|
||||
|
||||
# ── optimised implementation ──────────────────────────────────────────────────
|
||||
|
||||
|
||||
def _add_messages_optimized(left, right):
|
||||
if not isinstance(left, list):
|
||||
left = [left]
|
||||
if not isinstance(right, list):
|
||||
right = [right]
|
||||
|
||||
# Optimisation 1: skip conversion + ID assignment on left when it already
|
||||
# contains fully-resolved BaseMessage objects (the common case after the
|
||||
# first call, since add_messages always returns list[BaseMessage] with IDs).
|
||||
if (
|
||||
left
|
||||
and isinstance(left[0], BaseMessage)
|
||||
and not isinstance(left[0], BaseMessageChunk)
|
||||
):
|
||||
left = cast(list[BaseMessage], left)
|
||||
else:
|
||||
left = [
|
||||
message_chunk_to_message(cast(BaseMessageChunk, m))
|
||||
for m in convert_to_messages(left)
|
||||
]
|
||||
for m in left:
|
||||
if m.id is None:
|
||||
m.id = str(uuid.uuid4())
|
||||
|
||||
# always normalise right — it's fresh external input
|
||||
right = [
|
||||
message_chunk_to_message(cast(BaseMessageChunk, m))
|
||||
for m in convert_to_messages(right)
|
||||
]
|
||||
remove_all_idx = None
|
||||
has_remove = False
|
||||
for idx, m in enumerate(right):
|
||||
if m.id is None:
|
||||
m.id = str(uuid.uuid4())
|
||||
if isinstance(m, RemoveMessage):
|
||||
has_remove = True
|
||||
if m.id == REMOVE_ALL_MESSAGES:
|
||||
remove_all_idx = idx
|
||||
|
||||
if remove_all_idx is not None:
|
||||
return right[remove_all_idx + 1 :]
|
||||
|
||||
# Optimisation 2: pure-append fast path — no removals and no ID overlaps.
|
||||
# Builds one set over left instead of copying left + building a full dict.
|
||||
if not has_remove:
|
||||
left_ids = {m.id for m in left}
|
||||
if not any(m.id in left_ids for m in right):
|
||||
return left + right
|
||||
|
||||
# slow path: updates or removals present — full indexed merge
|
||||
merged = left.copy()
|
||||
merged_by_id = {m.id: i for i, m in enumerate(merged)}
|
||||
ids_to_remove = set()
|
||||
for m in right:
|
||||
if (existing_idx := merged_by_id.get(m.id)) is not None:
|
||||
if isinstance(m, RemoveMessage):
|
||||
ids_to_remove.add(m.id)
|
||||
else:
|
||||
ids_to_remove.discard(m.id)
|
||||
merged[existing_idx] = m
|
||||
else:
|
||||
if isinstance(m, RemoveMessage):
|
||||
raise ValueError(
|
||||
f"Attempting to delete a message with an ID that doesn't exist ('{m.id}')"
|
||||
)
|
||||
merged_by_id[m.id] = len(merged)
|
||||
merged.append(m)
|
||||
return [m for m in merged if m.id not in ids_to_remove]
|
||||
|
||||
|
||||
# ── helpers ───────────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def _make_messages(n: int) -> list[BaseMessage]:
|
||||
return [
|
||||
(HumanMessage if i % 2 == 0 else AIMessage)(
|
||||
content=f"message {i}", id=str(uuid.uuid4())
|
||||
)
|
||||
for i in range(n)
|
||||
]
|
||||
|
||||
|
||||
def _bench_time(fn, left, right, *, iters: int = 2_000) -> float:
|
||||
"""Return median latency in microseconds."""
|
||||
for _ in range(100):
|
||||
fn(list(left), list(right))
|
||||
times = []
|
||||
for _ in range(iters):
|
||||
left_copy, right_copy = list(left), list(right)
|
||||
t0 = time.perf_counter()
|
||||
fn(left_copy, right_copy)
|
||||
times.append(time.perf_counter() - t0)
|
||||
return statistics.median(times) * 1e6
|
||||
|
||||
|
||||
def _bench_memory(fn, left, right) -> int:
|
||||
"""Return peak memory allocated during a single call (bytes)."""
|
||||
# one warm-up so any lazy init is excluded
|
||||
fn(list(left), list(right))
|
||||
left_copy, right_copy = list(left), list(right)
|
||||
tracemalloc.start()
|
||||
tracemalloc.clear_traces()
|
||||
fn(left_copy, right_copy)
|
||||
_, peak = tracemalloc.get_traced_memory()
|
||||
tracemalloc.stop()
|
||||
return peak
|
||||
|
||||
|
||||
# ── scenarios ─────────────────────────────────────────────────────────────────
|
||||
|
||||
SCENARIOS = [
|
||||
("pure append 1 → 1 msg", 1, 1, "append"),
|
||||
("pure append 10 → 1 msg", 10, 1, "append"),
|
||||
("pure append 100 → 1 msg", 100, 1, "append"),
|
||||
("pure append 1000 → 1 msg", 1000, 1, "append"),
|
||||
("pure append 1000 → 5 msgs", 1000, 5, "append"),
|
||||
("update existing 100 → 1 msg", 100, 1, "update"),
|
||||
("remove message 100 → 1 msg", 100, 1, "remove"),
|
||||
]
|
||||
|
||||
|
||||
def _make_inputs(n_left, n_right, mode):
|
||||
left = _make_messages(n_left)
|
||||
right = _make_messages(n_right)
|
||||
if mode == "update":
|
||||
right[0] = AIMessage(content="updated", id=left[0].id)
|
||||
elif mode == "remove":
|
||||
right = [RemoveMessage(id=left[0].id)]
|
||||
return left, right
|
||||
|
||||
|
||||
# ── main output ───────────────────────────────────────────────────────────────
|
||||
|
||||
COL = 36
|
||||
|
||||
|
||||
def run_benchmarks() -> None:
|
||||
print()
|
||||
print("=" * 88)
|
||||
print("add_messages benchmark — time (µs, median of 2 000 iterations)")
|
||||
print("=" * 88)
|
||||
print(f"{'Scenario':<{COL}} {'Original':>10} {'Optimized':>11} {'Speedup':>8}")
|
||||
print("-" * 88)
|
||||
|
||||
for label, n_left, n_right, mode in SCENARIOS:
|
||||
left, right = _make_inputs(n_left, n_right, mode)
|
||||
t_orig = _bench_time(_add_messages_original, left, right)
|
||||
t_opt = _bench_time(_add_messages_optimized, left, right)
|
||||
print(f"{label:<{COL}} {t_orig:>10.2f} {t_opt:>11.2f} {t_orig / t_opt:>7.2f}x")
|
||||
|
||||
print()
|
||||
print("=" * 88)
|
||||
print("add_messages benchmark — peak memory allocated per call (bytes)")
|
||||
print("=" * 88)
|
||||
print(f"{'Scenario':<{COL}} {'Original':>10} {'Optimized':>11} {'Reduction':>10}")
|
||||
print("-" * 88)
|
||||
|
||||
for label, n_left, n_right, mode in SCENARIOS:
|
||||
left, right = _make_inputs(n_left, n_right, mode)
|
||||
m_orig = _bench_memory(_add_messages_original, left, right)
|
||||
m_opt = _bench_memory(_add_messages_optimized, left, right)
|
||||
reduction = (1 - m_opt / m_orig) * 100 if m_orig else 0.0
|
||||
print(f"{label:<{COL}} {m_orig:>10,} {m_opt:>11,} {reduction:>9.1f}%")
|
||||
|
||||
print()
|
||||
print("=" * 88)
|
||||
print("Simulated long thread — 200 steps × 2 msgs appended per step")
|
||||
print("=" * 88)
|
||||
for name, fn in [
|
||||
("original", _add_messages_original),
|
||||
("optimized", _add_messages_optimized),
|
||||
]:
|
||||
state: list = []
|
||||
t0 = time.perf_counter()
|
||||
for step in range(200):
|
||||
new_msgs = [
|
||||
HumanMessage(content=f"step {step} human", id=str(uuid.uuid4())),
|
||||
AIMessage(content=f"step {step} ai", id=str(uuid.uuid4())),
|
||||
]
|
||||
state = fn(state, new_msgs)
|
||||
elapsed = (time.perf_counter() - t0) * 1_000
|
||||
print(f" {name:<12} {elapsed:.2f} ms ({len(state)} messages)")
|
||||
print()
|
||||
|
||||
|
||||
# ── pytest entry-points ───────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_add_messages_correctness():
|
||||
"""Optimised implementation must match original output for every scenario."""
|
||||
for label, n_left, n_right, mode in SCENARIOS:
|
||||
left, right = _make_inputs(n_left, n_right, mode)
|
||||
expected = _add_messages_original(list(left), list(right))
|
||||
actual = _add_messages_optimized(list(left), list(right))
|
||||
assert len(actual) == len(expected), f"[{label}] length mismatch"
|
||||
for a, b in zip(actual, expected):
|
||||
assert type(a) is type(b), f"[{label}] type mismatch"
|
||||
assert a.id == b.id, f"[{label}] id mismatch"
|
||||
assert a.content == b.content, f"[{label}] content mismatch"
|
||||
|
||||
|
||||
def test_add_messages_benchmark(capsys):
|
||||
run_benchmarks()
|
||||
out = capsys.readouterr().out
|
||||
assert "Speedup" in out
|
||||
assert "Optimized" in out
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
run_benchmarks()
|
||||
@@ -2,17 +2,13 @@ import operator
|
||||
from collections.abc import Sequence
|
||||
|
||||
import pytest
|
||||
from langchain_core.messages import AIMessage, HumanMessage
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL
|
||||
|
||||
from langgraph._internal._typing import MISSING
|
||||
from langgraph.channels.binop import BinaryOperatorAggregate
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
from langgraph.channels.last_value import LastValue
|
||||
from langgraph.channels.topic import Topic
|
||||
from langgraph.channels.untracked_value import UntrackedValue
|
||||
from langgraph.errors import EmptyChannelError, InvalidUpdateError
|
||||
from langgraph.graph.message import add_messages
|
||||
|
||||
pytestmark = pytest.mark.anyio
|
||||
|
||||
@@ -121,503 +117,3 @@ 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 DELTA_SENTINEL
|
||||
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
from langgraph.graph.message import add_messages
|
||||
|
||||
ch = DeltaChannel(add_messages).from_checkpoint(MISSING)
|
||||
|
||||
# Step 1: one message added
|
||||
ch.update([HumanMessage(content="hi", id="h1")])
|
||||
d1 = ch.checkpoint()
|
||||
assert d1 is DELTA_SENTINEL
|
||||
|
||||
# Step 2: another message
|
||||
ch.update([AIMessage(content="hello", id="a1")])
|
||||
d2 = ch.checkpoint()
|
||||
assert d2 is DELTA_SENTINEL
|
||||
|
||||
# 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_from_checkpoint_writes_list() -> None:
|
||||
"""replay_writes on a fresh channel replays through the operator."""
|
||||
from langchain_core.messages import AIMessage, HumanMessage
|
||||
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
from langgraph.graph.message import add_messages
|
||||
|
||||
spec = DeltaChannel(add_messages)
|
||||
ch = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch.replay_writes(
|
||||
[
|
||||
("t0", "messages", HumanMessage(content="hi", id="h1")),
|
||||
("t1", "messages", AIMessage(content="hello", id="a1")),
|
||||
("t2", "messages", HumanMessage(content="bye", id="h2")),
|
||||
]
|
||||
)
|
||||
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 treated as backward compat
|
||||
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() -> None:
|
||||
from langchain_core.messages import HumanMessage
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL
|
||||
|
||||
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.update([HumanMessage(content="old", id="h1")])
|
||||
|
||||
ch.update([Overwrite([HumanMessage(content="new", id="h2")])])
|
||||
d = ch.checkpoint()
|
||||
assert d is DELTA_SENTINEL
|
||||
# After overwrite, value is reset to only the new message
|
||||
assert len(ch.get()) == 1
|
||||
assert ch.get()[0].content == "new"
|
||||
|
||||
|
||||
def test_delta_channel_remove_message_and_replay() -> None:
|
||||
"""RemoveMessage must round-trip correctly when writes are replayed."""
|
||||
from langchain_core.messages import AIMessage, HumanMessage, RemoveMessage
|
||||
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
from langgraph.graph.message import add_messages
|
||||
|
||||
spec = DeltaChannel(add_messages)
|
||||
ch = spec.from_checkpoint(MISSING)
|
||||
|
||||
# Step 1: add two messages
|
||||
ch.update([HumanMessage(content="hi", id="h1")])
|
||||
ch.update([AIMessage(content="hello", id="a1")])
|
||||
assert ch.get() == [
|
||||
HumanMessage(content="hi", id="h1"),
|
||||
AIMessage(content="hello", id="a1"),
|
||||
]
|
||||
|
||||
# Step 2: remove the AI message
|
||||
ch.update([RemoveMessage(id="a1")])
|
||||
assert ch.get() == [HumanMessage(content="hi", id="h1")]
|
||||
|
||||
# Replay the writes list from scratch — must reproduce the post-remove state
|
||||
ch2 = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch2.replay_writes(
|
||||
[
|
||||
("t0", "messages", HumanMessage(content="hi", id="h1")),
|
||||
("t1", "messages", AIMessage(content="hello", id="a1")),
|
||||
("t2", "messages", RemoveMessage(id="a1")),
|
||||
]
|
||||
)
|
||||
assert ch2.get() == [HumanMessage(content="hi", id="h1")]
|
||||
|
||||
|
||||
def test_delta_channel_update_by_id_and_replay() -> None:
|
||||
"""Updating a message by ID must round-trip correctly through writes replay."""
|
||||
from langchain_core.messages import HumanMessage
|
||||
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
from langgraph.graph.message import add_messages
|
||||
|
||||
spec = DeltaChannel(add_messages)
|
||||
ch = spec.from_checkpoint(MISSING)
|
||||
|
||||
# Step 1: add a message
|
||||
ch.update([HumanMessage(content="original", id="h1")])
|
||||
|
||||
# Step 2: update the same message by ID
|
||||
ch.update([HumanMessage(content="updated", id="h1")])
|
||||
assert ch.get() == [HumanMessage(content="updated", id="h1")]
|
||||
|
||||
# Replay writes — must produce the updated message, not the original
|
||||
ch2 = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch2.replay_writes(
|
||||
[
|
||||
("t0", "messages", HumanMessage(content="original", id="h1")),
|
||||
("t1", "messages", HumanMessage(content="updated", id="h1")),
|
||||
]
|
||||
)
|
||||
assert len(ch2.get()) == 1
|
||||
assert ch2.get()[0].content == "updated"
|
||||
|
||||
|
||||
def test_delta_channel_checkpoint_returns_sentinel() -> None:
|
||||
"""checkpoint() always returns DELTA_SENTINEL regardless of state."""
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL
|
||||
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
from langgraph.graph.message import add_messages
|
||||
|
||||
ch = DeltaChannel(add_messages).from_checkpoint(MISSING)
|
||||
assert ch.checkpoint() is DELTA_SENTINEL
|
||||
|
||||
from langchain_core.messages import HumanMessage
|
||||
|
||||
ch.update([HumanMessage(content="hi", id="h1")])
|
||||
assert ch.checkpoint() is DELTA_SENTINEL
|
||||
|
||||
|
||||
def test_delta_channel_inmemory_saver_assembles_writes() -> None:
|
||||
"""InMemorySaver assembles writes from checkpoint_writes inside get_tuple."""
|
||||
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)]
|
||||
|
||||
n = {"v": 0}
|
||||
|
||||
def respond(state: State) -> dict:
|
||||
n["v"] += 1
|
||||
return {"messages": [AIMessage(content=f"ok{n['v']}", id=f"ai{n['v']}")]}
|
||||
|
||||
builder = StateGraph(State)
|
||||
builder.add_node("respond", respond)
|
||||
builder.add_edge(START, "respond")
|
||||
saver = InMemorySaver()
|
||||
graph = builder.compile(checkpointer=saver)
|
||||
config = {"configurable": {"thread_id": "t1"}}
|
||||
|
||||
graph.invoke({"messages": [HumanMessage(content="hi", id="h1")]}, config)
|
||||
graph.invoke({"messages": [HumanMessage(content="bye", id="h2")]}, config)
|
||||
|
||||
# get_tuple returns raw storage shape — channel_values stores DELTA_SENTINEL
|
||||
# for delta channels; the reconstructed writes flow separately via
|
||||
# saver._get_channel_writes_history.
|
||||
saved = saver.get_tuple(config)
|
||||
assert saved is not None
|
||||
assert "messages" in saved.checkpoint["channel_values"]
|
||||
assert saved.checkpoint["channel_values"]["messages"] is DELTA_SENTINEL
|
||||
|
||||
state = graph.get_state(config)
|
||||
assert len(state.values["messages"]) == 4 # 2 human + 2 AI
|
||||
|
||||
|
||||
def _delta_channel_with_type(operator, typ):
|
||||
"""Build a DeltaChannel with an explicit type via the Annotated injection path."""
|
||||
from typing import Annotated
|
||||
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
from langgraph.graph.state import _get_channel
|
||||
|
||||
return _get_channel("_test", Annotated[typ, DeltaChannel(operator)])
|
||||
|
||||
|
||||
def test_delta_channel_dict_reducer_fresh_channel() -> None:
|
||||
"""DeltaChannel with a dict reducer starts as empty dict on MISSING checkpoint."""
|
||||
|
||||
def merge_dicts(left: dict, right: dict) -> dict:
|
||||
return {**left, **right}
|
||||
|
||||
ch = _delta_channel_with_type(merge_dicts, dict).from_checkpoint(MISSING)
|
||||
# Should be available (not raise EmptyChannelError) and start empty
|
||||
assert ch.is_available()
|
||||
assert ch.get() == {}
|
||||
|
||||
|
||||
def test_delta_channel_dict_reducer_basic_updates() -> None:
|
||||
"""DeltaChannel with a dict reducer accumulates key/value pairs across steps."""
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL
|
||||
|
||||
def merge_dicts(left: dict, right: dict) -> dict:
|
||||
return {**left, **right}
|
||||
|
||||
ch = _delta_channel_with_type(merge_dicts, dict).from_checkpoint(MISSING)
|
||||
|
||||
ch.update([{"a": 1}])
|
||||
d1 = ch.checkpoint()
|
||||
assert d1 is DELTA_SENTINEL
|
||||
|
||||
ch.update([{"b": 2}])
|
||||
d2 = ch.checkpoint()
|
||||
assert d2 is DELTA_SENTINEL
|
||||
|
||||
assert ch.get() == {"a": 1, "b": 2}
|
||||
|
||||
|
||||
def test_delta_channel_dict_reducer_writes_reconstruction() -> None:
|
||||
"""replay_writes on a fresh channel replays through a dict merge reducer."""
|
||||
|
||||
def merge_dicts(left: dict, right: dict) -> dict:
|
||||
return {**left, **right}
|
||||
|
||||
spec = _delta_channel_with_type(merge_dicts, dict)
|
||||
ch = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch.replay_writes(
|
||||
[
|
||||
("t0", "files", {"a": 1}),
|
||||
("t1", "files", {"b": 2}),
|
||||
("t2", "files", {"c": 3}),
|
||||
]
|
||||
)
|
||||
assert ch.get() == {"a": 1, "b": 2, "c": 3}
|
||||
|
||||
|
||||
def test_delta_channel_dict_reducer_with_deletions() -> None:
|
||||
"""Dict reducer that treats None values as deletions works end-to-end (deepagents pattern)."""
|
||||
|
||||
def merge_files(left: dict | None, right: dict) -> dict:
|
||||
if left is None:
|
||||
return {k: v for k, v in right.items() if v is not None}
|
||||
result = {**left}
|
||||
for k, v in right.items():
|
||||
if v is None:
|
||||
result.pop(k, None)
|
||||
else:
|
||||
result[k] = v
|
||||
return result
|
||||
|
||||
ch = _delta_channel_with_type(merge_files, dict).from_checkpoint(MISSING)
|
||||
|
||||
ch.update([{"file1.py": "content1", "file2.py": "content2"}])
|
||||
|
||||
# Delete file1, add file3
|
||||
ch.update([{"file1.py": None, "file3.py": "content3"}])
|
||||
|
||||
assert ch.get() == {"file2.py": "content2", "file3.py": "content3"}
|
||||
|
||||
# Confirm writes reconstruction produces the same result
|
||||
spec = _delta_channel_with_type(merge_files, dict)
|
||||
ch2 = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch2.replay_writes(
|
||||
[
|
||||
("t0", "files", {"file1.py": "content1", "file2.py": "content2"}),
|
||||
("t1", "files", {"file1.py": None, "file3.py": "content3"}),
|
||||
]
|
||||
)
|
||||
assert ch2.get() == {"file2.py": "content2", "file3.py": "content3"}
|
||||
|
||||
|
||||
def test_delta_channel_dict_reducer_overwrite_in_update() -> None:
|
||||
"""Overwrite(dict) in update() must preserve dict shape, not coerce to list."""
|
||||
from langgraph.types import Overwrite
|
||||
|
||||
def merge_dicts(left: dict, right: dict) -> dict:
|
||||
return {**left, **right}
|
||||
|
||||
ch = _delta_channel_with_type(merge_dicts, dict).from_checkpoint(MISSING)
|
||||
ch.update([{"a": 1}])
|
||||
ch.update([Overwrite({"b": 2, "c": 3})])
|
||||
|
||||
assert ch.get() == {"b": 2, "c": 3}
|
||||
|
||||
|
||||
def test_delta_channel_dict_reducer_overwrite_in_writes_replay() -> None:
|
||||
"""Overwrite(dict) embedded in replayed writes must reconstruct as dict."""
|
||||
from langgraph.types import Overwrite
|
||||
|
||||
def merge_dicts(left: dict, right: dict) -> dict:
|
||||
return {**left, **right}
|
||||
|
||||
spec = _delta_channel_with_type(merge_dicts, dict)
|
||||
ch = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch.replay_writes(
|
||||
[
|
||||
("t0", "files", {"a": 1}),
|
||||
("t1", "files", Overwrite({"x": 10, "y": 20})),
|
||||
("t2", "files", {"z": 30}),
|
||||
]
|
||||
)
|
||||
assert ch.get() == {"x": 10, "y": 20, "z": 30}
|
||||
|
||||
|
||||
def test_delta_channel_dict_reducer_with_notrequired_annotation() -> None:
|
||||
"""DeltaChannel infers dict type through `Annotated[NotRequired[dict[...]], ch]`.
|
||||
|
||||
This is the shape the deepagents filesystem middleware uses for its
|
||||
`files` field; without unwrapping NotRequired we'd fall through to `list`
|
||||
and blow up on the first dict operator call.
|
||||
"""
|
||||
from typing import Annotated
|
||||
|
||||
from typing_extensions import NotRequired
|
||||
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
from langgraph.graph.state import _get_channel
|
||||
|
||||
def merge_dicts(left: dict | None, right: dict) -> dict:
|
||||
if left is None:
|
||||
return dict(right)
|
||||
return {**left, **right}
|
||||
|
||||
annotation = Annotated[
|
||||
NotRequired[dict[str, int]],
|
||||
DeltaChannel(merge_dicts),
|
||||
]
|
||||
ch = _get_channel("files", annotation).from_checkpoint(MISSING)
|
||||
assert ch.get() == {}
|
||||
ch.update([{"a": 1}])
|
||||
ch.update([{"b": 2}])
|
||||
assert ch.get() == {"a": 1, "b": 2}
|
||||
|
||||
|
||||
def test_delta_channel_dict_reducer_end_to_end_filesystem() -> None:
|
||||
"""End-to-end: graph with dict-reducer (filesystem-style) channel wrapped in DeltaChannel.
|
||||
|
||||
Mirrors the deepagents filesystem pattern: `files: Annotated[dict, reducer]`
|
||||
where the reducer merges dicts and treats None values as deletions.
|
||||
"""
|
||||
from typing import Annotated
|
||||
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
from langgraph.graph import START, StateGraph
|
||||
|
||||
def merge_files(left: dict | None, right: dict) -> dict:
|
||||
if left is None:
|
||||
return {k: v for k, v in right.items() if v is not None}
|
||||
result = {**left}
|
||||
for k, v in right.items():
|
||||
if v is None:
|
||||
result.pop(k, None)
|
||||
else:
|
||||
result[k] = v
|
||||
return result
|
||||
|
||||
class State(TypedDict):
|
||||
files: Annotated[dict[str, str], DeltaChannel(merge_files)]
|
||||
|
||||
turn = {"v": 0}
|
||||
|
||||
def write_file(state: State) -> dict:
|
||||
turn["v"] += 1
|
||||
n = turn["v"]
|
||||
return {"files": {f"/doc_{n}.txt": f"content for turn {n}"}}
|
||||
|
||||
builder = StateGraph(State)
|
||||
builder.add_node("write_file", write_file)
|
||||
builder.add_edge(START, "write_file")
|
||||
saver = InMemorySaver()
|
||||
graph = builder.compile(checkpointer=saver)
|
||||
config = {"configurable": {"thread_id": "fs"}}
|
||||
|
||||
for _ in range(3):
|
||||
graph.invoke({"files": {}}, config)
|
||||
|
||||
# Checkpoint stores only the sentinel — per-step writes live in checkpoint_writes.
|
||||
saved = saver.get_tuple(config)
|
||||
assert saved is not None
|
||||
cv = saved.checkpoint["channel_values"]["files"]
|
||||
assert cv is DELTA_SENTINEL
|
||||
|
||||
state = graph.get_state(config)
|
||||
assert state.values["files"] == {
|
||||
"/doc_1.txt": "content for turn 1",
|
||||
"/doc_2.txt": "content for turn 2",
|
||||
"/doc_3.txt": "content for turn 3",
|
||||
}
|
||||
|
||||
# Deletion path must round-trip through writes replay.
|
||||
def delete_file(state: State) -> dict:
|
||||
return {"files": {"/doc_1.txt": None}}
|
||||
|
||||
builder2 = StateGraph(State)
|
||||
builder2.add_node("write_file", write_file)
|
||||
builder2.add_node("delete_file", delete_file)
|
||||
builder2.add_edge(START, "write_file")
|
||||
builder2.add_edge("write_file", "delete_file")
|
||||
turn["v"] = 0
|
||||
saver2 = InMemorySaver()
|
||||
graph2 = builder2.compile(checkpointer=saver2)
|
||||
config2 = {"configurable": {"thread_id": "fs2"}}
|
||||
graph2.invoke({"files": {}}, config2)
|
||||
state2 = graph2.get_state(config2)
|
||||
assert state2.values["files"] == {}
|
||||
|
||||
|
||||
def test_delta_channel_dict_reducer_backwards_compat() -> None:
|
||||
"""A pre-DeltaChannel dict checkpoint must load as a dict, not be listified."""
|
||||
|
||||
def merge_dicts(left: dict, right: dict) -> dict:
|
||||
return {**left, **right}
|
||||
|
||||
spec = _delta_channel_with_type(merge_dicts, dict)
|
||||
old_value = {"a": 1, "b": 2}
|
||||
ch = spec.from_checkpoint(old_value)
|
||||
assert ch.get() == {"a": 1, "b": 2}
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# seed / pre-delta migration
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_delta_channel_from_checkpoint_honors_seed() -> None:
|
||||
"""A non-sentinel value to from_checkpoint is used as the pre-delta seed.
|
||||
|
||||
Guards the pre-delta migration path: when the saver's ancestor walk hits
|
||||
a pre-DeltaChannel blob it passes it as `seed` so replay reconstructs
|
||||
the post-migration state correctly rather than replaying from empty.
|
||||
"""
|
||||
spec = DeltaChannel(add_messages)
|
||||
seed = [HumanMessage(content="pre-delta", id="p1")]
|
||||
ch = spec.from_checkpoint(seed)
|
||||
ch.replay_writes(
|
||||
[
|
||||
("t0", "messages", AIMessage(content="delta-1", id="d1")),
|
||||
("t1", "messages", HumanMessage(content="delta-2", id="d2")),
|
||||
]
|
||||
)
|
||||
msgs = ch.get()
|
||||
assert [m.content for m in msgs] == ["pre-delta", "delta-1", "delta-2"]
|
||||
|
||||
|
||||
def test_delta_channel_from_checkpoint_seed_without_writes() -> None:
|
||||
"""Reconstruction at a pre-delta ancestor with no newer deltas returns
|
||||
just the seed — the saver's terminator fired immediately."""
|
||||
spec = DeltaChannel(add_messages)
|
||||
seed = [HumanMessage(content="only-snap", id="s1")]
|
||||
ch = spec.from_checkpoint(seed)
|
||||
ch.replay_writes([])
|
||||
assert ch.get() == seed
|
||||
|
||||
|
||||
def test_delta_channel_from_checkpoint_seed_none_is_distinct_from_sentinel() -> None:
|
||||
"""`seed=None` must start replay from None, not from an empty channel.
|
||||
|
||||
The DELTA_SENTINEL / MISSING sentinels mean 'no seed'; passing `None`
|
||||
explicitly should feed None to the reducer as the left operand.
|
||||
"""
|
||||
|
||||
def replace(left, right):
|
||||
return right
|
||||
|
||||
spec = DeltaChannel(replace)
|
||||
ch = spec.from_checkpoint(None)
|
||||
ch.replay_writes([("t0", "x", "after")])
|
||||
# Reducer replaces; seed=None → first write produces "after".
|
||||
assert ch.get() == "after"
|
||||
|
||||
@@ -1,398 +0,0 @@
|
||||
"""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.
|
||||
|
||||
DeltaChannel stores only a zero-byte sentinel in checkpoint_blobs; the actual
|
||||
write data lives in checkpoint_writes (already stored there). Reconstruction
|
||||
walks the parent chain and replays writes through the operator — O(N) total
|
||||
storage vs O(N²) for plain add_messages.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
import time
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
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
|
||||
|
||||
try:
|
||||
from langgraph.checkpoint.postgres import PostgresSaver
|
||||
|
||||
_POSTGRES_AVAILABLE = True
|
||||
_POSTGRES_URI = (
|
||||
"postgres://postgres:postgres@localhost:5441/postgres?sslmode=disable"
|
||||
)
|
||||
except ImportError:
|
||||
_POSTGRES_AVAILABLE = False
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 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. "
|
||||
"We've had prior incidents in this area and want to be deliberate. "
|
||||
"What should we prioritize first, and are there known failure modes we should design around from the start?"
|
||||
)
|
||||
|
||||
_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)]
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 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 demonstrate O(N²) vs O(N) storage growth without running too long.
|
||||
# Extrapolation: 5,000 turns × ~200 tokens/turn ≈ 1M tokens (Claude's full context window).
|
||||
TURN_COUNTS = [10, 25, 50, 100, 500]
|
||||
|
||||
# Deep-thread counts where add_messages blob storage would exceed 1 GB;
|
||||
# only DeltaChannel runs here.
|
||||
DELTA_ONLY_TURN_COUNTS = [1000]
|
||||
|
||||
|
||||
def _checkpointer_factories() -> list[tuple[str, Any]]:
|
||||
"""Return (label, context_manager_or_none) pairs for available checkpointers."""
|
||||
return [("InMemory", None)]
|
||||
|
||||
|
||||
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", None)]
|
||||
if _POSTGRES_AVAILABLE:
|
||||
try:
|
||||
import psycopg
|
||||
|
||||
psycopg.connect(_POSTGRES_URI).close()
|
||||
checkpointers.append(("Postgres (plain SELECT)", "postgres"))
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
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
|
||||
elif cp_hint == "postgres":
|
||||
with PostgresSaver.from_conn_string(_POSTGRES_URI) as saver:
|
||||
saver.setup()
|
||||
with saver._cursor() as cur:
|
||||
cur.execute("DELETE FROM checkpoints WHERE thread_id = 'bench'")
|
||||
cur.execute(
|
||||
"DELETE FROM checkpoint_blobs WHERE thread_id = 'bench'"
|
||||
)
|
||||
cur.execute(
|
||||
"DELETE FROM checkpoint_writes WHERE thread_id = 'bench'"
|
||||
)
|
||||
yield saver
|
||||
else:
|
||||
with tempfile.NamedTemporaryFile(suffix=".db") as f:
|
||||
with SqliteSaver.from_conn_string(f.name) as saver:
|
||||
yield saver
|
||||
|
||||
rows: list[tuple[int, Any, Any, Any, Any, Any, Any]] = []
|
||||
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)
|
||||
rows.append((turns, b_bytes, d_bytes, b_rt, d_rt, b_wt, d_wt))
|
||||
for turns in DELTA_ONLY_TURN_COUNTS:
|
||||
with _make_saver() as saver:
|
||||
d_wt, d_rt, d_bytes = _run_turns(turns, DeltaState, saver)
|
||||
rows.append((turns, None, d_bytes, None, d_rt, None, d_wt))
|
||||
|
||||
# ── Table 1: Storage ─────────────────────────────────────────────────────
|
||||
W = 64
|
||||
print("Storage (checkpoint blob bytes)")
|
||||
print("=" * W)
|
||||
print(
|
||||
f"{'turns':>6} {'ctx size':>10} {'add_msgs':>12} {'delta':>12} "
|
||||
f"{'savings':>8}"
|
||||
)
|
||||
print("-" * W)
|
||||
|
||||
def _bytes_or_na(v: Any) -> str:
|
||||
if v is None:
|
||||
return "n/a"
|
||||
if v < 0:
|
||||
return "n/a"
|
||||
return _fmt_bytes(v)
|
||||
|
||||
def _ms_or_na(v: Any) -> str:
|
||||
return "n/a" if v is None else f"{v * 1000:.1f}ms"
|
||||
|
||||
for turns, b_bytes, d_bytes, b_rt, d_rt, b_wt, d_wt in rows:
|
||||
if b_bytes is None or b_bytes < 0 or d_bytes is None or d_bytes < 0:
|
||||
ratio_str = "n/a"
|
||||
else:
|
||||
ratio = b_bytes / d_bytes if d_bytes else float("inf")
|
||||
ratio_str = f"{ratio:.0f}x"
|
||||
print(
|
||||
f"{turns:>6} {_approx_tokens(turns):>10} "
|
||||
f"{_bytes_or_na(b_bytes):>12} {_bytes_or_na(d_bytes):>12} "
|
||||
f"{ratio_str:>8}"
|
||||
)
|
||||
print("=" * W)
|
||||
print()
|
||||
|
||||
# ── Table 2: Read latency ─────────────────────────────────────────────────
|
||||
print("Read latency (avg of 5 get_state calls)")
|
||||
print("=" * W)
|
||||
print(f"{'turns':>6} {'ctx size':>10} {'add_msgs':>12} {'delta':>12}")
|
||||
print("-" * W)
|
||||
for turns, b_bytes, d_bytes, b_rt, d_rt, b_wt, d_wt in rows:
|
||||
print(
|
||||
f"{turns:>6} {_approx_tokens(turns):>10} "
|
||||
f"{_ms_or_na(b_rt):>12} {_ms_or_na(d_rt):>12}"
|
||||
)
|
||||
print("=" * W)
|
||||
print()
|
||||
|
||||
# ── Table 3: Per-invoke latency (total write_elapsed / turns) ─────────────
|
||||
print("Per-invoke latency (total graph.invoke time / turns)")
|
||||
print("=" * W)
|
||||
print(f"{'turns':>6} {'ctx size':>10} {'add_msgs':>12} {'delta':>12}")
|
||||
print("-" * W)
|
||||
for turns, b_bytes, d_bytes, b_rt, d_rt, b_wt, d_wt in rows:
|
||||
|
||||
def _per(wt: Any) -> str:
|
||||
if wt is None:
|
||||
return "n/a"
|
||||
return f"{(wt / turns) * 1000:.1f}ms"
|
||||
|
||||
print(
|
||||
f"{turns:>6} {_approx_tokens(turns):>10} "
|
||||
f"{_per(b_wt):>12} {_per(d_wt):>12}"
|
||||
)
|
||||
print("=" * W)
|
||||
print()
|
||||
|
||||
print("Legend:")
|
||||
print(" add_msgs = Annotated[list, add_messages] — O(N²) storage")
|
||||
print(" delta = Annotated[list, DeltaChannel(add_messages)] — O(N) storage")
|
||||
print()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Pytest entry point
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.skip(
|
||||
reason="slow benchmark — run manually with: python tests/test_delta_channel_benchmark.py"
|
||||
)
|
||||
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 [25, 50]:
|
||||
_, _, b_bytes = _run_turns(turns, BinaryState)
|
||||
_, _, d_bytes = _run_turns(turns, DeltaState)
|
||||
assert d_bytes < b_bytes, (
|
||||
f"DeltaChannel should use less storage at {turns} turns, "
|
||||
f"got delta={d_bytes} binary={b_bytes}"
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Script entry point
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
if __name__ == "__main__":
|
||||
run_benchmark()
|
||||
sys.exit(0)
|
||||
@@ -1,504 +0,0 @@
|
||||
"""Tests for the BinaryOperatorAggregate -> DeltaChannel migration path.
|
||||
|
||||
A thread written under `BinaryOperatorAggregate(...)` must keep working
|
||||
after its annotation is swapped to `DeltaChannel(...)` on the same
|
||||
checkpointer — pre-migration state visible at each *settled* ancestor
|
||||
checkpoint is preserved, and post-migration writes fold on top through
|
||||
the reducer.
|
||||
|
||||
Mechanism under test: the saver's `_get_channel_writes_history(config,
|
||||
channel)` walks the parent chain; when it encounters an ancestor whose
|
||||
`channel_values[channel]` is a real value (not `DELTA_SENTINEL`), it
|
||||
returns that as the `seed`. `DeltaChannel.from_checkpoint(seed)` uses
|
||||
it as the base value, and `replay_writes(writes)` folds on-path deltas.
|
||||
|
||||
Scenarios covered:
|
||||
|
||||
1. **Basic migration (sync + async)**: build pre-migration state with
|
||||
`BinaryOperatorAggregate`, swap the annotation to `DeltaChannel` on
|
||||
the same checkpointer, and verify that every settled pre-migration
|
||||
super-step boundary (`next=('__start__',)`) round-trips exactly
|
||||
under the delta-channel view.
|
||||
2. **Time travel into a pre-migration checkpoint** after migration —
|
||||
`graph.get_state(pre_migration_config)` at a settled ancestor
|
||||
returns the same state as under the binop channel.
|
||||
3. **Continuing a migrated thread**: driving one more super-step after
|
||||
migration produces a state that includes the pre-migration settled
|
||||
prefix plus the new delta write — proving `from_checkpoint(seed)` +
|
||||
`replay_writes` correctly fold post-migration deltas onto the
|
||||
pre-migration seed.
|
||||
4. **Base-saver fallback path**: a third-party-style subclass that
|
||||
removes the optimized `InMemorySaver` override and falls back to
|
||||
`BaseCheckpointSaver._get_channel_writes_history` must produce the
|
||||
same result as the optimized path.
|
||||
5. **Channel-type isolation across threads**: two threads on the same
|
||||
checkpointer under the delta-channel graph — one freshly-started,
|
||||
one migrated from pre-migration state — don't cross-contaminate.
|
||||
The parent-chain walk is scoped to the thread.
|
||||
|
||||
TODO: add postgres variants in the existing `libs/checkpoint-postgres`
|
||||
test files (different fixture setup; not this file).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import operator
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.channels.binop import BinaryOperatorAggregate
|
||||
from langgraph.channels._delta import DeltaChannel
|
||||
from langgraph.graph import END, START, StateGraph
|
||||
|
||||
pytestmark = pytest.mark.anyio
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Graph factories
|
||||
#
|
||||
# A minimal reducer (`operator.add` on lists of str) with a noop node keeps
|
||||
# state change localized to the HumanMessage-like payload passed through
|
||||
# `invoke`. That isolates the pre/post-migration parity assertions to
|
||||
# channel-hydration semantics.
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _noop(_state: Any) -> dict:
|
||||
return {}
|
||||
|
||||
|
||||
def _binop_graph(checkpointer: Any) -> Any:
|
||||
class BinopState(TypedDict):
|
||||
items: Annotated[list, BinaryOperatorAggregate(list, operator.add)]
|
||||
|
||||
return (
|
||||
StateGraph(BinopState)
|
||||
.add_node("noop", _noop)
|
||||
.add_edge(START, "noop")
|
||||
.add_edge("noop", END)
|
||||
.compile(checkpointer=checkpointer)
|
||||
)
|
||||
|
||||
|
||||
def _delta_graph(checkpointer: Any) -> Any:
|
||||
class DeltaState(TypedDict):
|
||||
items: Annotated[list, DeltaChannel(operator.add)]
|
||||
|
||||
return (
|
||||
StateGraph(DeltaState)
|
||||
.add_node("noop", _noop)
|
||||
.add_edge(START, "noop")
|
||||
.add_edge("noop", END)
|
||||
.compile(checkpointer=checkpointer)
|
||||
)
|
||||
|
||||
|
||||
def _drive(graph: Any, config: dict, tag: str, n: int) -> None:
|
||||
for i in range(n):
|
||||
graph.invoke({"items": [f"{tag}{i}"]}, config)
|
||||
|
||||
|
||||
async def _adrive(graph: Any, config: dict, tag: str, n: int) -> None:
|
||||
for i in range(n):
|
||||
await graph.ainvoke({"items": [f"{tag}{i}"]}, config)
|
||||
|
||||
|
||||
def _settled_boundaries(history: list) -> list[tuple[dict, list]]:
|
||||
"""Return `[(config, items), ...]` for every checkpoint in `history`
|
||||
whose `next == ('__start__',)` — the stable boundaries between invokes.
|
||||
"""
|
||||
return [
|
||||
(s.config, list(s.values.get("items", [])))
|
||||
for s in history
|
||||
if s.next == ("__start__",)
|
||||
]
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 1. Basic migration (sync + async)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_basic_migration_preserves_pre_migration_state() -> None:
|
||||
"""Build state under `BinaryOperatorAggregate`, migrate to
|
||||
`DeltaChannel` on the same checkpointer, and verify that every
|
||||
settled pre-migration super-step boundary round-trips exactly.
|
||||
|
||||
Settled boundaries (`next=('__start__',)`) are the stable hydration
|
||||
targets for the migration path: writes that produced the NEXT
|
||||
super-step are kept as `pending_writes` on the ancestor, so walking
|
||||
from a descendant finds the ancestor's blob as the seed and
|
||||
reconstructs the correct state.
|
||||
"""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
config = {"configurable": {"thread_id": "basic-sync"}}
|
||||
|
||||
# Pre-migration: accumulate items across 3 invokes.
|
||||
binop = _binop_graph(checkpointer)
|
||||
_drive(binop, config, "u", 3)
|
||||
|
||||
pre_boundaries = _settled_boundaries(list(binop.get_state_history(config)))
|
||||
assert len(pre_boundaries) >= 2, "expected multiple settled boundaries"
|
||||
|
||||
# Migrate: swap the annotation on the same checkpointer.
|
||||
delta = _delta_graph(checkpointer)
|
||||
|
||||
for cfg, items in pre_boundaries:
|
||||
snap = delta.get_state(cfg)
|
||||
assert list(snap.values.get("items", [])) == items, (
|
||||
f"snapshot mismatch at {cfg['configurable']['checkpoint_id']}: "
|
||||
f"expected {items}, got {snap.values.get('items', [])}"
|
||||
)
|
||||
|
||||
|
||||
async def test_basic_migration_preserves_pre_migration_state_async() -> None:
|
||||
"""Async variant of the basic migration scenario."""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
config = {"configurable": {"thread_id": "basic-async"}}
|
||||
|
||||
binop = _binop_graph(checkpointer)
|
||||
await _adrive(binop, config, "u", 3)
|
||||
|
||||
pre_history = [s async for s in binop.aget_state_history(config)]
|
||||
pre_boundaries = _settled_boundaries(pre_history)
|
||||
assert len(pre_boundaries) >= 2
|
||||
|
||||
delta = _delta_graph(checkpointer)
|
||||
|
||||
for cfg, items in pre_boundaries:
|
||||
snap = await delta.aget_state(cfg)
|
||||
assert list(snap.values.get("items", [])) == items, (
|
||||
f"async snapshot mismatch at {cfg['configurable']['checkpoint_id']}"
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 2. Time travel into a pre-migration checkpoint after migration
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_time_travel_into_pre_migration_checkpoint() -> None:
|
||||
"""After migration, `graph.get_state(pre_migration_config)` at a
|
||||
settled ancestor returns the state as stored at that point."""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
config = {"configurable": {"thread_id": "time-travel"}}
|
||||
|
||||
binop = _binop_graph(checkpointer)
|
||||
_drive(binop, config, "u", 3)
|
||||
|
||||
pre_boundaries = _settled_boundaries(list(binop.get_state_history(config)))
|
||||
assert pre_boundaries, "no settled ancestors to time-travel to"
|
||||
|
||||
delta = _delta_graph(checkpointer)
|
||||
|
||||
# Pick the oldest non-empty boundary — a long distance to walk back.
|
||||
non_empty = [(cfg, items) for cfg, items in pre_boundaries if items]
|
||||
assert non_empty, "expected at least one non-empty boundary"
|
||||
target_cfg, expected_items = non_empty[-1]
|
||||
|
||||
snap = delta.get_state(target_cfg)
|
||||
assert list(snap.values.get("items", [])) == expected_items
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 3. Continuing a migrated thread: deltas fold onto pre-migration seed
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_continuing_migrated_thread_folds_deltas_on_seed() -> None:
|
||||
"""Resume a pre-migration settled ancestor via `invoke(None, cfg)`
|
||||
under the delta-channel graph. Since the pre-migration checkpoint
|
||||
has an existing `pending_writes` entry (the input for the NEXT
|
||||
super-step), re-running from that ancestor reproduces the same
|
||||
post-ancestor state as the original binop run.
|
||||
|
||||
This proves the seed-terminator + write-replay pipeline works
|
||||
end-to-end across the migration boundary.
|
||||
"""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
config = {"configurable": {"thread_id": "continue"}}
|
||||
|
||||
binop = _binop_graph(checkpointer)
|
||||
_drive(binop, config, "u", 2)
|
||||
|
||||
# Pick the oldest settled boundary with non-empty state.
|
||||
pre_boundaries = _settled_boundaries(list(binop.get_state_history(config)))
|
||||
target_cfg, seed_items = next(
|
||||
(cfg, items) for cfg, items in reversed(pre_boundaries) if items
|
||||
)
|
||||
assert seed_items, "need a non-empty seed boundary"
|
||||
|
||||
# Migrate and resume from the pre-migration ancestor. `invoke(None,
|
||||
# cfg)` replays the pending writes staged at `cfg` under the new
|
||||
# channel; the reducer folds those deltas onto the seed.
|
||||
delta = _delta_graph(checkpointer)
|
||||
result = delta.invoke(None, target_cfg)
|
||||
|
||||
# The resumed state must include the pre-migration seed items in order.
|
||||
result_items = list(result.get("items", []))
|
||||
for idx, prefix_item in enumerate(seed_items):
|
||||
assert result_items[idx] == prefix_item, (
|
||||
f"pre-migration seed item at {idx} not preserved: "
|
||||
f"got {result_items[: idx + 1]}, expected {seed_items}"
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 4. Base-saver fallback path
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _ThirdPartyStyleSaver(InMemorySaver):
|
||||
"""Simulates a third-party saver that inherits the reference
|
||||
`_get_channel_writes_history` implementation from
|
||||
`BaseCheckpointSaver` rather than overriding it.
|
||||
|
||||
We rebind the two methods to the base-class versions (via MRO) so
|
||||
the fallback path is exercised even though the storage layer is
|
||||
still the in-memory one.
|
||||
"""
|
||||
|
||||
# MRO: [_ThirdPartyStyleSaver, InMemorySaver, BaseCheckpointSaver, ...]
|
||||
_get_channel_writes_history = ( # type: ignore[assignment]
|
||||
InMemorySaver.__mro__[1]._get_channel_writes_history # type: ignore[attr-defined]
|
||||
)
|
||||
_aget_channel_writes_history = ( # type: ignore[assignment]
|
||||
InMemorySaver.__mro__[1]._aget_channel_writes_history # type: ignore[attr-defined]
|
||||
)
|
||||
|
||||
|
||||
def test_base_saver_fallback_matches_optimized_override() -> None:
|
||||
"""The reference `BaseCheckpointSaver` implementation must produce
|
||||
the same migration behavior as the optimized `InMemorySaver`
|
||||
override. We drive the same migration scenario through both savers
|
||||
and assert per-snapshot parity in the delta-channel view."""
|
||||
|
||||
# Fast path: optimized InMemorySaver override.
|
||||
fast_saver = InMemorySaver()
|
||||
fast_config = {"configurable": {"thread_id": "fast"}}
|
||||
fast_binop = _binop_graph(fast_saver)
|
||||
_drive(fast_binop, fast_config, "u", 3)
|
||||
fast_delta = _delta_graph(fast_saver)
|
||||
fast_history = [
|
||||
(s.next, list(s.values.get("items", [])))
|
||||
for s in fast_delta.get_state_history(fast_config)
|
||||
]
|
||||
|
||||
# Slow path: base-class fallback.
|
||||
slow_saver = _ThirdPartyStyleSaver()
|
||||
slow_config = {"configurable": {"thread_id": "slow"}}
|
||||
slow_binop = _binop_graph(slow_saver)
|
||||
_drive(slow_binop, slow_config, "u", 3)
|
||||
slow_delta = _delta_graph(slow_saver)
|
||||
slow_history = [
|
||||
(s.next, list(s.values.get("items", [])))
|
||||
for s in slow_delta.get_state_history(slow_config)
|
||||
]
|
||||
|
||||
assert slow_history == fast_history, (
|
||||
"base-saver fallback should match optimized-override behavior; "
|
||||
f"fast={fast_history}, slow={slow_history}"
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 5. Thread isolation under mixed-generation storage
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_delta_and_migrated_threads_do_not_cross_contaminate() -> None:
|
||||
"""Two threads sharing a checkpointer — one migrated from
|
||||
pre-migration state, one freshly-started under DeltaChannel — must
|
||||
maintain independent state. The parent-chain walk in
|
||||
`_get_channel_writes_history` must be scoped to the target thread.
|
||||
"""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
migrated_cfg = {"configurable": {"thread_id": "migrated"}}
|
||||
fresh_cfg = {"configurable": {"thread_id": "fresh"}}
|
||||
|
||||
# Thread A: pre-migration build-up.
|
||||
binop = _binop_graph(checkpointer)
|
||||
_drive(binop, migrated_cfg, "m", 2)
|
||||
|
||||
# Thread B: fresh delta-channel run.
|
||||
delta = _delta_graph(checkpointer)
|
||||
_drive(delta, fresh_cfg, "f", 2)
|
||||
|
||||
# Thread A: migrate and confirm its state is anchored in its own
|
||||
# thread's pre-migration history (tag 'm'), never mixing in tag 'f'.
|
||||
migrated_boundaries = _settled_boundaries(
|
||||
list(delta.get_state_history(migrated_cfg))
|
||||
)
|
||||
assert migrated_boundaries, "migrated thread has no settled boundaries"
|
||||
for _, items in migrated_boundaries:
|
||||
for it in items:
|
||||
assert it.startswith("m"), (
|
||||
f"migrated thread leaked item from other thread: {it}"
|
||||
)
|
||||
|
||||
# Thread B: settled boundaries must only contain 'f' tags.
|
||||
fresh_boundaries = _settled_boundaries(list(delta.get_state_history(fresh_cfg)))
|
||||
assert fresh_boundaries, "fresh thread has no settled boundaries"
|
||||
for _, items in fresh_boundaries:
|
||||
for it in items:
|
||||
assert it.startswith("f"), (
|
||||
f"fresh thread leaked item from migrated thread: {it}"
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 6. Tip-of-pre-migration hydration: the latest checkpoint from a binop-run
|
||||
# thread has a real accumulated value in its own `channel_values["items"]`.
|
||||
# When hydrated under the delta-channel graph via `get_state(config)` with no
|
||||
# `checkpoint_id`, the short-circuit must use that value directly instead of
|
||||
# walking ancestors (which would skip the tip's own blob).
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_tip_of_pre_migration_hydrates_directly() -> None:
|
||||
"""`graph.get_state(config)` at the latest (pre-migration) checkpoint
|
||||
returns the full accumulated list stored in that checkpoint's own
|
||||
`channel_values`. The hydration must not walk ancestors past it."""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
config = {"configurable": {"thread_id": "tip-sync"}}
|
||||
|
||||
binop = _binop_graph(checkpointer)
|
||||
_drive(binop, config, "u", 3)
|
||||
|
||||
binop_tip = binop.get_state(config)
|
||||
expected_items = list(binop_tip.values.get("items", []))
|
||||
assert expected_items == ["u0", "u1", "u2"], (
|
||||
f"sanity: pre-migration tip should accumulate all 3 items, got {expected_items}"
|
||||
)
|
||||
|
||||
delta = _delta_graph(checkpointer)
|
||||
|
||||
snap = delta.get_state(config)
|
||||
assert list(snap.values.get("items", [])) == expected_items, (
|
||||
f"tip hydration mismatch: expected {expected_items}, "
|
||||
f"got {snap.values.get('items', [])}"
|
||||
)
|
||||
|
||||
|
||||
async def test_tip_of_pre_migration_hydrates_directly_async() -> None:
|
||||
"""Async variant of the tip-of-pre-migration hydration scenario."""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
config = {"configurable": {"thread_id": "tip-async"}}
|
||||
|
||||
binop = _binop_graph(checkpointer)
|
||||
await _adrive(binop, config, "u", 3)
|
||||
|
||||
binop_tip = await binop.aget_state(config)
|
||||
expected_items = list(binop_tip.values.get("items", []))
|
||||
assert expected_items == ["u0", "u1", "u2"]
|
||||
|
||||
delta = _delta_graph(checkpointer)
|
||||
|
||||
snap = await delta.aget_state(config)
|
||||
assert list(snap.values.get("items", [])) == expected_items, (
|
||||
f"async tip hydration mismatch: expected {expected_items}, "
|
||||
f"got {snap.values.get('items', [])}"
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 7. `update_state` after migration writes a real value to the new
|
||||
# checkpoint's `channel_values` (not a sentinel). Hydration must use it
|
||||
# directly — the ancestor walk would skip this blob and return stale state.
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_update_state_after_migration_uses_written_value() -> None:
|
||||
"""After migrating and running at least one post-migration super-step
|
||||
(so the thread's tip has a `DELTA_SENTINEL`), `update_state` writes a
|
||||
concrete value to a new checkpoint's `channel_values`. `get_state`
|
||||
must reflect that concrete value."""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
config = {"configurable": {"thread_id": "update-state"}}
|
||||
|
||||
# Pre-migration: accumulate a little state.
|
||||
binop = _binop_graph(checkpointer)
|
||||
_drive(binop, config, "u", 2)
|
||||
|
||||
# Migrate and run one more super-step so the tip is a post-migration
|
||||
# checkpoint with `DELTA_SENTINEL` in its own `channel_values`.
|
||||
delta = _delta_graph(checkpointer)
|
||||
delta.invoke({"items": ["post"]}, config)
|
||||
|
||||
# `update_state` writes a concrete value into a new checkpoint's blob
|
||||
# via the reducer against the hydrated prior state.
|
||||
delta.update_state(config, {"items": ["x", "y"]})
|
||||
|
||||
snap = delta.get_state(config)
|
||||
updated_items = list(snap.values.get("items", []))
|
||||
# Must include the "x","y" update; without the hydration fix, the
|
||||
# update_state-written blob would be skipped in favor of an ancestor
|
||||
# walk, and the update values would disappear.
|
||||
assert "x" in updated_items and "y" in updated_items, (
|
||||
f"update_state values missing from snapshot: {updated_items}"
|
||||
)
|
||||
# The "x","y" items should be folded onto the prior accumulated state,
|
||||
# not stand alone. This verifies the update-written blob is used
|
||||
# directly by `get_state` (no ancestor walk past it).
|
||||
assert len(updated_items) >= 4, (
|
||||
f"update_state snapshot should preserve pre-update state, got {updated_items}"
|
||||
)
|
||||
assert updated_items[-2:] == ["x", "y"], (
|
||||
f"update_state deltas should be at the tail, got {updated_items}"
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 8. Fork from an `update_state` checkpoint: a new run branched off the
|
||||
# update_state-produced checkpoint must see that checkpoint's concrete
|
||||
# `channel_values` as its base, with new deltas folded on top.
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_fork_from_update_state_checkpoint() -> None:
|
||||
"""Branching a new run from the checkpoint produced by `update_state`
|
||||
must use that checkpoint's concrete blob as the base. Additional
|
||||
deltas from the forked run fold onto it through the reducer."""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
config = {"configurable": {"thread_id": "fork"}}
|
||||
|
||||
# Pre-migration build-up, then migrate and add one post-migration step.
|
||||
binop = _binop_graph(checkpointer)
|
||||
_drive(binop, config, "u", 2)
|
||||
delta = _delta_graph(checkpointer)
|
||||
delta.invoke({"items": ["post"]}, config)
|
||||
|
||||
# Apply `update_state` and capture the returned config (references
|
||||
# the new checkpoint produced by the update).
|
||||
update_cfg = delta.update_state(config, {"items": ["x", "y"]})
|
||||
|
||||
update_snap = delta.get_state(update_cfg)
|
||||
base_items = list(update_snap.values.get("items", []))
|
||||
assert "x" in base_items and "y" in base_items, (
|
||||
f"update_state values missing from snapshot: {base_items}"
|
||||
)
|
||||
assert base_items[-2:] == ["x", "y"], (
|
||||
f"sanity: update_state deltas should be at the tail, got {base_items}"
|
||||
)
|
||||
|
||||
# Fork: invoke from the update_state checkpoint with a new delta.
|
||||
forked = delta.invoke({"items": ["fork0"]}, update_cfg)
|
||||
forked_items = list(forked.get("items", []))
|
||||
# The fork must see the update_state-written blob as its base (not
|
||||
# walk past it), and the new delta must fold on top of it.
|
||||
assert forked_items[: len(base_items)] == base_items, (
|
||||
f"fork lost update_state base: base={base_items}, forked={forked_items}"
|
||||
)
|
||||
assert forked_items[-1] == "fork0", f"fork delta not appended: {forked_items}"
|
||||
@@ -1,344 +0,0 @@
|
||||
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
|
||||
|
||||
|
||||
def test_non_graph_handler_via_add_handler_does_not_crash() -> None:
|
||||
"""Non-GraphCallbackHandler added via add_handler should not raise.
|
||||
|
||||
Libraries like opentelemetry-instrumentation-langchain monkey-patch
|
||||
BaseCallbackManager.__init__ and inject handlers via add_handler().
|
||||
These handlers inherit from BaseCallbackHandler, not
|
||||
GraphCallbackHandler. They must be silently accepted — graph lifecycle
|
||||
events will simply not be dispatched to them.
|
||||
"""
|
||||
from langgraph.callbacks import _GraphCallbackManager
|
||||
|
||||
manager = _GraphCallbackManager()
|
||||
plain_handler = _LangChainCustomEventHandler()
|
||||
|
||||
manager.add_handler(plain_handler, inherit=True)
|
||||
assert plain_handler in manager.handlers
|
||||
|
||||
|
||||
def test_non_graph_handler_does_not_receive_lifecycle_events() -> None:
|
||||
"""Non-GraphCallbackHandler added alongside a GraphCallbackHandler
|
||||
should not interfere with lifecycle event dispatch."""
|
||||
graph = _build_interrupt_graph()
|
||||
graph_handler = _GraphEventHandler()
|
||||
plain_handler = _LangChainCustomEventHandler()
|
||||
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-mixed-handlers"},
|
||||
"callbacks": [plain_handler, graph_handler],
|
||||
}
|
||||
|
||||
first = graph.invoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
|
||||
assert len(graph_handler.interrupt_events) == 1
|
||||
assert plain_handler.events == []
|
||||
|
||||
resumed = graph.invoke(Command(resume="done"), config)
|
||||
assert resumed == {"answer": "done"}
|
||||
assert len(graph_handler.resume_events) == 1
|
||||
assert plain_handler.events == []
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_non_graph_handler_does_not_receive_lifecycle_events_async() -> None:
|
||||
"""Async variant: non-GraphCallbackHandler should not interfere."""
|
||||
graph = _build_interrupt_graph()
|
||||
graph_handler = _GraphEventHandler()
|
||||
plain_handler = _LangChainCustomEventHandler()
|
||||
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-mixed-handlers-async"},
|
||||
"callbacks": [plain_handler, graph_handler],
|
||||
}
|
||||
|
||||
first = await graph.ainvoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
|
||||
assert len(graph_handler.interrupt_events) == 1
|
||||
assert plain_handler.events == []
|
||||
|
||||
resumed = await graph.ainvoke(Command(resume="done"), config)
|
||||
assert resumed == {"answer": "done"}
|
||||
assert len(graph_handler.resume_events) == 1
|
||||
assert plain_handler.events == []
|
||||
@@ -1396,6 +1396,7 @@ 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",
|
||||
@@ -1458,6 +1459,7 @@ 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",
|
||||
@@ -1510,6 +1512,7 @@ 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",
|
||||
@@ -6881,6 +6884,7 @@ 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",
|
||||
@@ -6908,6 +6912,7 @@ 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",
|
||||
@@ -6944,6 +6949,7 @@ 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",
|
||||
|
||||
@@ -1147,6 +1147,7 @@ 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",
|
||||
@@ -1209,6 +1210,7 @@ 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",
|
||||
@@ -1261,6 +1263,7 @@ 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",
|
||||
@@ -3978,6 +3981,7 @@ 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",
|
||||
@@ -4005,6 +4009,7 @@ 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",
|
||||
@@ -4041,6 +4046,7 @@ 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",
|
||||
|
||||
@@ -5,7 +5,6 @@ import langchain_core
|
||||
import pytest
|
||||
from langchain_core.messages import (
|
||||
AIMessage,
|
||||
AIMessageChunk,
|
||||
AnyMessage,
|
||||
HumanMessage,
|
||||
RemoveMessage,
|
||||
@@ -339,123 +338,6 @@ def test_remove_all_messages():
|
||||
]
|
||||
|
||||
|
||||
def test_fast_path_preserves_format_openai():
|
||||
"""Pure-append fast path must still apply the `langchain-openai` formatter."""
|
||||
left = [HumanMessage(content="prior", id="1")]
|
||||
right = [
|
||||
AIMessage(
|
||||
content=[
|
||||
{
|
||||
"type": "tool_use",
|
||||
"name": "foo",
|
||||
"input": {"bar": "baz"},
|
||||
"id": "t1",
|
||||
}
|
||||
],
|
||||
id="2",
|
||||
)
|
||||
]
|
||||
result = add_messages(left, right, format="langchain-openai")
|
||||
assert isinstance(result[0], HumanMessage)
|
||||
assert result[0].content == "prior"
|
||||
assert isinstance(result[1], AIMessage)
|
||||
# formatter collapses the tool_use content block into `tool_calls`
|
||||
assert result[1].content == ""
|
||||
assert len(result[1].tool_calls) == 1
|
||||
assert result[1].tool_calls[0]["name"] == "foo"
|
||||
assert result[1].tool_calls[0]["args"] == {"bar": "baz"}
|
||||
assert result[1].tool_calls[0]["id"] == "t1"
|
||||
|
||||
|
||||
def test_fast_path_rejects_invalid_format():
|
||||
"""Pure-append fast path must validate the `format` arg like the slow path."""
|
||||
left = [HumanMessage(content="prior", id="1")]
|
||||
right = [AIMessage(content="new", id="2")]
|
||||
with pytest.raises(ValueError, match="Unrecognized format="):
|
||||
add_messages(left, right, format="bogus") # type: ignore[arg-type]
|
||||
|
||||
|
||||
def test_left_starting_with_chunk_is_normalized():
|
||||
"""Opt-1 guard: a `BaseMessageChunk` at left[0] must trigger full conversion."""
|
||||
chunk = AIMessageChunk(content="chunk", id="c1")
|
||||
result = add_messages([chunk], [HumanMessage(content="h", id="h1")])
|
||||
assert len(result) == 2
|
||||
# chunk must be converted to a non-chunk message
|
||||
assert type(result[0]).__name__ == "AIMessage"
|
||||
assert result[0].id == "c1"
|
||||
assert result[1].id == "h1"
|
||||
|
||||
|
||||
def test_left_as_dicts_is_normalized():
|
||||
"""Opt-1 guard: dicts at left[0] must trigger full conversion."""
|
||||
left = [{"role": "user", "content": "hi", "id": "d1"}]
|
||||
right = [AIMessage(content="reply", id="a1")]
|
||||
result = add_messages(left, right)
|
||||
assert len(result) == 2
|
||||
assert isinstance(result[0], HumanMessage)
|
||||
assert result[0].id == "d1"
|
||||
assert result[0].content == "hi"
|
||||
|
||||
|
||||
def test_left_as_tuples_is_normalized():
|
||||
"""Opt-1 guard: tuple-form messages must trigger full conversion."""
|
||||
left = [("user", "hi")]
|
||||
right = [AIMessage(content="reply", id="a1")]
|
||||
result = add_messages(left, right)
|
||||
assert len(result) == 2
|
||||
assert isinstance(result[0], HumanMessage)
|
||||
# id is auto-assigned
|
||||
assert isinstance(result[0].id, str) and UUID(result[0].id, version=4)
|
||||
|
||||
|
||||
def test_left_first_msg_missing_id_is_normalized():
|
||||
"""Opt-1 guard: a BaseMessage without an id at left[0] falls to the else branch."""
|
||||
left = [HumanMessage(content="hi")] # no id
|
||||
right = [AIMessage(content="reply", id="a1")]
|
||||
result = add_messages(left, right)
|
||||
assert len(result) == 2
|
||||
# left's id must have been auto-assigned
|
||||
assert isinstance(result[0].id, str) and UUID(result[0].id, version=4)
|
||||
|
||||
|
||||
def test_duplicate_ids_in_right_with_nonempty_left():
|
||||
"""Opt-2 guard: intra-right duplicate ids must take slow path (dedup kept)."""
|
||||
left = [HumanMessage(content="prior", id="1")]
|
||||
right = [
|
||||
AIMessage(content="first", id="2"),
|
||||
AIMessage(content="second", id="2"),
|
||||
]
|
||||
result = add_messages(left, right)
|
||||
assert len(result) == 2
|
||||
assert result[0].id == "1"
|
||||
assert result[1].id == "2"
|
||||
assert result[1].content == "second"
|
||||
|
||||
|
||||
def test_right_with_none_ids_pure_append():
|
||||
"""Fast path still correct when right entries start with id=None (fresh uuids assigned)."""
|
||||
left = [HumanMessage(content="prior", id="1")]
|
||||
right = [AIMessage(content="a"), AIMessage(content="b")]
|
||||
result = add_messages(left, right)
|
||||
assert len(result) == 3
|
||||
assert result[0].id == "1"
|
||||
for m in result[1:]:
|
||||
assert isinstance(m.id, str) and UUID(m.id, version=4)
|
||||
# fresh uuids must be distinct
|
||||
assert result[1].id != result[2].id
|
||||
|
||||
|
||||
def test_fast_path_returns_fresh_list():
|
||||
"""Fast path must return a new list object (not mutate or alias left)."""
|
||||
left = [HumanMessage(content="prior", id="1")]
|
||||
right = [AIMessage(content="new", id="2")]
|
||||
result = add_messages(left, right)
|
||||
assert result is not left
|
||||
# left must be untouched
|
||||
assert len(left) == 1
|
||||
assert left[0].id == "1"
|
||||
|
||||
|
||||
def test_push_messages_in_graph():
|
||||
class MessagesState(TypedDict):
|
||||
messages: Annotated[list[AnyMessage], add_messages]
|
||||
|
||||
@@ -615,11 +615,8 @@ def test_run_from_checkpoint_id_retains_previous_writes(
|
||||
)
|
||||
]
|
||||
|
||||
# +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 len(new_history) == len(history) + 1
|
||||
for original, new in zip(history, new_history[1:]):
|
||||
assert original.values == new.values
|
||||
assert original.next == new.next
|
||||
assert original.metadata["step"] == new.metadata["step"]
|
||||
@@ -627,7 +624,7 @@ 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, 2) == _get_tasks(history, 0)
|
||||
assert _get_tasks(new_history, 1) == _get_tasks(history, 0)
|
||||
|
||||
|
||||
def test_batch_two_processes_in_out() -> None:
|
||||
@@ -1332,22 +1329,20 @@ def test_imp_nested(
|
||||
}
|
||||
|
||||
thread1 = {"configurable": {"thread_id": "1"}}
|
||||
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"},
|
||||
{"mapper": "11"},
|
||||
assert [*graph.stream([0, 1], thread1, durability=durability)] == [
|
||||
{"submapper": "0"},
|
||||
{"mapper": "00"},
|
||||
{"submapper": "1"},
|
||||
{"mapper": "11"},
|
||||
{
|
||||
"__interrupt__": (
|
||||
Interrupt(
|
||||
value="question",
|
||||
id=AnyStr(),
|
||||
),
|
||||
)
|
||||
},
|
||||
]
|
||||
assert result[-1] == {
|
||||
"__interrupt__": (
|
||||
Interrupt(
|
||||
value="question",
|
||||
id=AnyStr(),
|
||||
),
|
||||
)
|
||||
}
|
||||
|
||||
assert graph.invoke(Command(resume="answer"), thread1, durability=durability) == [
|
||||
"00answera",
|
||||
@@ -6274,7 +6269,7 @@ 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.monotonic()}
|
||||
return {"tic": time.time()}
|
||||
|
||||
@entrypoint()
|
||||
def graph(inputs: dict) -> list:
|
||||
@@ -6287,7 +6282,7 @@ 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.monotonic())
|
||||
arrival_times.append(time.time())
|
||||
|
||||
assert len(arrival_times) == 2
|
||||
delta = arrival_times[1] - arrival_times[0]
|
||||
@@ -6896,6 +6891,7 @@ 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",
|
||||
@@ -6905,60 +6901,6 @@ 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
|
||||
|
||||
@@ -9400,190 +9342,3 @@ 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"
|
||||
|
||||
@@ -20,7 +20,6 @@ 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
|
||||
@@ -2086,11 +2085,8 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
|
||||
)
|
||||
]
|
||||
|
||||
# +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 len(new_history) == len(history) + 1
|
||||
for original, new in zip(history, new_history[1:]):
|
||||
assert original.values == new.values
|
||||
assert original.next == new.next
|
||||
assert original.metadata["step"] == new.metadata["step"]
|
||||
@@ -2098,7 +2094,7 @@ 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, 2) == _get_tasks(history, 0)
|
||||
assert _get_tasks(new_history, 1) == _get_tasks(history, 0)
|
||||
|
||||
|
||||
async def test_cond_edge_after_send() -> None:
|
||||
@@ -7545,6 +7541,7 @@ 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",
|
||||
@@ -7554,67 +7551,6 @@ 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
|
||||
|
||||
|
||||
@@ -1,27 +1,12 @@
|
||||
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,
|
||||
_ensure_execution_info,
|
||||
_should_retry_on,
|
||||
run_with_retry,
|
||||
)
|
||||
from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
|
||||
from langgraph.types import PregelExecutableTask, RetryPolicy
|
||||
from langgraph.pregel._retry import _checkpoint_ns_for_parent_command, _should_retry_on
|
||||
from langgraph.runtime import Runtime
|
||||
from langgraph.types import RetryPolicy
|
||||
|
||||
|
||||
def test_should_retry_on_single_exception():
|
||||
@@ -408,162 +393,3 @@ 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
|
||||
|
||||
@@ -2,12 +2,11 @@ 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 ExecutionInfo, Runtime, ServerInfo, get_runtime
|
||||
from langgraph.runtime import Runtime, get_runtime
|
||||
|
||||
|
||||
def test_injected_runtime() -> None:
|
||||
@@ -390,262 +389,3 @@ 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
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user