Compare commits

...
Author SHA1 Message Date
Quanzheng Long 84cef02912 checkpoint_version 2025-12-10 23:03:46 -08:00
Quanzheng Long 4f930db62f learn version seen 2025-12-10 22:35:31 -08:00
Quanzheng Long 6b27811dc1 readme 2025-10-05 09:18:42 -07:00
Quanzheng Long 0c1f2c8d60 pretty graph 2025-09-18 16:43:14 -07:00
Quanzheng Long 9e8c2db87c print 2025-09-18 16:40:37 -07:00
Quanzheng Long 8dad1dea60 print 2025-09-18 16:40:12 -07:00
Quanzheng Long c85c3fd9a5 add test code 2025-09-18 16:36:43 -07:00
Sydney RunkleandGitHub 6fc5b3aeda release(langgraph): 0.6.7 (#6092) 2025-09-07 13:49:43 +00:00
Harrison ChaseandGitHub b543752878 chore: update emphemeral local (#6091)
basically - for conditional edges, we use this to merge the updates from
state with the state object (before the actual update really occurs in
the tick.after)

otherwise - an emphemeral value will actually last through the logic in
the conditional edge of the node after
2025-09-07 09:42:11 -04:00
William FHandGitHub 8f6ad0b25a chore(sdk-py): Cleanup docstring indentation (#6087) 2025-09-05 22:56:03 +00:00
Isaac FranciscoandGitHub ada5d2ecb1 feat(cli): bump version (#6086)
version bump for: https://github.com/langchain-ai/langgraph/pull/6085
2025-09-05 15:52:30 -07:00
Isaac FranciscoandGitHub eaeafe54ab feat(cli): support prereleases (#6085)
We previously errored when a user had prerelease dependencies, this PR
passes the `--prereleases=allow` flag to our `uv pip install` call.

This PR also adds a test to verify that said deployments will build and
run as expected.
2025-09-05 15:45:48 -07:00
William FHandGitHub f761116de7 chore(sdk-py): Clean up docstring for get_client (#6084)
Main thing here is to call out the ASGITransport behavior
2025-09-05 13:43:31 -07:00
Nuno CamposandGitHub 36cf353d19 fix: Unwrap Required/NotRequired special forms before resolving channel/reducer annotations (#6080) 2025-09-05 10:27:10 +01:00
d503c0bf33 WIP: monorepo support in CLI (#6028)
This PR introduces the `--build-command` and `--install-command`
arguments to `langgraph build`.

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

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

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

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

---------

Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
2025-09-04 12:29:11 -07:00
William FHandGitHub 25ba4c3bda feat(sdk-py): Specify ttl on thread creation and update (#6075) 2025-09-03 18:48:57 -07:00
dfc1c59ebf chore(docs): Update OpenAPI spec from LangGraph API v0.4.11 (#6074)
This PR updates the OpenAPI specification with changes detected from the
LangGraph API server.

**Changes detected as of LangGraph API version 0.4.11**

This update was automatically generated by the sync workflow in the
langgraph-api repository.

Co-authored-by: hinthornw <hinthornw@users.noreply.github.com>
2025-09-03 18:37:39 -07:00
William FHandGitHub 6f4c5fefee feat(sdk-py): Support ids filtering in threads search (#6067) 2025-09-02 17:49:11 -07:00
7cf230defa chore(docs): Update OpenAPI spec from LangGraph API v0.4.9 (#6066)
This PR updates the OpenAPI specification with changes detected from the
LangGraph API server.

**Changes detected as of LangGraph API version 0.4.9**

This update was automatically generated by the sync workflow in the
langgraph-api repository.

Co-authored-by: hinthornw <hinthornw@users.noreply.github.com>
2025-09-02 17:04:30 -07:00
5db65e0281 chore(docs): Update OpenAPI spec from LangGraph API v0.4.8 (#6065)
This PR updates the OpenAPI specification with changes detected from the
LangGraph API server.

**Changes detected as of LangGraph API version 0.4.8**

This update was automatically generated by the sync workflow in the
langgraph-api repository.

Co-authored-by: hinthornw <hinthornw@users.noreply.github.com>
2025-09-02 15:25:52 -07:00
b08c2e092f chore(docs): Update OpenAPI spec from LangGraph API v0.4.8 (#6048)
This PR updates the OpenAPI specification with changes detected from the
LangGraph API server.

**Changes detected as of LangGraph API version 0.4.8**

This update was automatically generated by the sync workflow in the
langgraph-api repository.

Co-authored-by: hinthornw <hinthornw@users.noreply.github.com>
2025-09-02 10:10:12 -07:00
Sydney RunkleandGitHub 120ae38c12 chore(docs): fix runtime context link (#6043) 2025-08-29 13:45:39 -04:00
Isaac FranciscoandGitHub 22942d4eec release(sdk-py): 0.2.4 (#6038) 2025-08-28 23:34:33 +00:00
Isaac FranciscoandGitHub 1756ce1dd2 feat(sdk-py): add endpoint for thread streaming (#6009)
SDK support for:
https://github.com/langchain-ai/langgraph-api/pull/1217/
2025-08-28 16:12:04 +00:00
Isaac FranciscoandGitHub 0b4638269b feat(sdk-py): add durability flag (#5963) 2025-08-27 19:21:25 +00:00
Isaac FranciscoandGitHub 1ebdb1ba31 chore: Update schema for new config allowed in LGP (#5875) 2025-08-27 11:20:06 -07:00
hari-dhanushkodiandGitHub f3423c052e fix(docs): add revision queuing docs (#5997) 2025-08-27 07:47:45 -07:00
b63572ee16 chore: Update OpenAPI spec from LangGraph API v0.4.0 (#6011)
This PR updates the OpenAPI specification with changes detected from the
LangGraph API server.

**Changes detected as of LangGraph API version 0.4.0**

This update was automatically generated by the sync workflow in the
langgraph-api repository.

Co-authored-by: hinthornw <hinthornw@users.noreply.github.com>
2025-08-26 20:51:30 -07:00
William FHandGitHub ddf4e62bde release(cli): 0.4.0 (#6014)
Relax upper-bound to permit server versions 0.4.*
2025-08-26 12:59:12 +00:00
William FHandGitHub d73902ae76 feat(sdk-py): Count endpoints (#5986) 2025-08-21 18:15:52 +00:00
William FHandGitHub 501ba8be34 release(cli): Bump max bound of langgraph-api (#5978) 2025-08-21 00:59:27 +00:00
William FHandGitHub 998e194e82 release(cli): Support bookworm, trixie, etc. (#5975)
Also add support for pinning to a semantic version.
2025-08-20 15:40:04 +00:00
ef65d3cf88 chore(cli): Update OpenAPI spec from LangGraph API v0.2.137 (#5967)
This PR updates the OpenAPI specification with changes detected from the
LangGraph API server.

**Changes detected as of LangGraph API version 0.2.137**

This update was automatically generated by the sync workflow in the
langgraph-api repository.

Co-authored-by: hinthornw <hinthornw@users.noreply.github.com>
2025-08-20 07:42:33 -07:00
William FHandGitHub a692e24a58 fix(langgraph): Remote Baggage (#5964)
Fix baggage propagation for opt-in distributed tracing when no
additional headers are provided.
2025-08-20 01:47:12 +00:00
BrodyandGitHub a566f1f892 fix(docs): update sales links (#5956)
**Description:** updates sales team links to point to our form.
  
**Issue:** DOC-170 (internal Linear ticket)
2025-08-19 08:11:51 -07:00
William FHandGitHub c0b29a6df5 chore(langgraph): Add passthrough params/headers to invoke/stream/etc. (#5940) 2025-08-18 19:38:08 +00:00
Ankit R.andGitHub a86eb4c5d0 docs(persistence): fix StateSnapshot formatting (#5928)
This PR fixes a minor formatting inconsistency in the StateSnapshot
examples within persistence.md.

Specifically, the next=('node_b',) value was inline with values={...},
which is inconsistent with other snapshots.
It has been moved to a new line for better readability and consistency
across examples.
2025-08-18 19:33:43 +00:00
William FHandGitHub 3488eb2a2c chore(sdk-py): Update types (#5939) 2025-08-18 18:29:07 +00:00
wakita181009andGitHub 875f20ba9f feat(sdk-py): define aclose method to LangGraphClient (#5931)
This PR adds an aclose method to the LangGraphClient.

When using the client in a FastAPI application, it's common to share a
single instance across the application's lifespan. The absence of an
aclose method makes it difficult to gracefully close the underlying HTTP
session on application shutdown. This change enables proper resource
management by allowing the client to be closed cleanly.
2025-08-18 11:22:02 -07:00
William FHandGitHub 723d4641b0 chore(sdk-py): Update params type in SDK (#5937) 2025-08-18 17:53:20 +00:00
William FHandGitHub ae62b8faf2 chore: Update release check of version (#5936) 2025-08-18 10:18:53 -07:00
William FHandGitHub 9918488169 feat(sdk-py): client qparams (#5918)
And add linting & dyanmic version string
2025-08-18 10:05:24 -07:00
Lauren Hirata SinghandGitHub c37c9cbab3 docs: update redirects (#5935) 2025-08-18 09:14:49 -07:00
William FHandGitHub 0cd8745aad feat(sdk-py): Select-statement (#5933) 2025-08-18 06:42:01 -07:00
Lauren Hirata SinghandGitHub 33d13c6f52 docs: update banner (#5911) 2025-08-14 10:54:18 -07:00
Lauren Hirata SinghandGitHub 054e2759ca docs: banner for deep research (#5908)
Publish at 10AM PT
2025-08-14 10:04:48 -07:00
William FHandGitHub 23b71048c1 release(langgraph): 0.6.5 (#5901) 2025-08-13 23:35:58 +00:00
Nuno CamposandGitHub a15f542a1f fix: Persist resume_map values (#5898)
Thank you for contributing to LangGraph! Follow these steps to mark your
pull request as ready for review. **If any of these steps are not
completed, your PR will not be considered for review.**

- [ ] **PR title**: Follows the format: {TYPE}({SCOPE}): {DESCRIPTION}
  - Examples:
    - feat(core): add multi-tenant support
    - fix(cli): resolve flag parsing error
    - docs(openai): update API usage examples
  - Allowed `{TYPE}` values:
- feat, fix, docs, style, refactor, perf, test, build, ci, chore,
revert, release
  - Allowed `{SCOPE}` values (optional):
- langgraph, docs, cli, checkpoint, checkpoint-postgres,
checkpoint-sqlite, prebuilt, scheduler-kafka, sdk-py
- Once you've written the title, please delete this checklist item; do
not include it in the PR.

- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** a description of the change. Include a [closing
keyword](https://docs.github.com/en/issues/tracking-your-work-with-issues/using-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword)
if applicable.
  - **Issue:** the issue # it fixes, if applicable
  - **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!

- [ ] **Add tests and docs**: If you're adding a new integration, you
must include:
1. A test for the integration, preferably unit tests that do not rely on
network access,
2. An example notebook showing its use. It lives in
`docs/docs/integrations` directory.

- [ ] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. We will not consider a
PR unless these three are passing in CI. See [contribution
guidelines](https://github.com/langchain-ai/langgraph/blob/main/CONTRIBUTING.md)
for more.

Additional guidelines:

- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to `pyproject.toml` files (even
optional ones) unless they are **required** for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
2025-08-13 19:33:20 +01:00
d43eaf1f42 chore(docs): add remaining js translations (#5825)
Related Linear ticket:
https://linear.app/langchain/issue/DOC-51/add-js-translations-for-remaining-pages

---------

Co-authored-by: Brody Klapko <brody@langchain.dev>
2025-08-12 09:47:11 -04:00
Sam CrowderandGitHub 16b363fbb0 feat(langgraph): implement redis node level cache (#5834)
###   Description

Adds Redis as a supported cache backend for LangGraph node-level
caching, enabling distributed caching across multiple processes/servers.
This implementation follows the same patterns as existing InMemoryCache
and SqliteCache.

###  Key changes
  - New RedisCache class implementing the BaseCache interface
  - Support for TTL-based expiration and batch operations
  - Worker-specific cache prefixes for parallel test isolation

###  Dependencies

  - redis package (already included in dev dependencies)

### Test Plan

- Unit tests: Added Redis cache tests covering basic operations, TTL,
batch operations, and error handling
- Integration tests: Redis cache integrated into existing LangGraph test
suite, tested with all checkpointer combinations
2025-08-11 09:19:34 -07:00
Sydney RunkleandGitHub 68a75135b0 release: langgraph + prebuilt 0.6.4 (#5854) 2025-08-07 18:12:26 +00:00
Isaac FranciscoandGitHub 5c0c0fb186 fix: mypy issue with conditional edges (#5851)
Send should inherit from hashable, and need to use Sequence since List
is invariant.

https://github.com/langchain-ai/langgraph/issues/5850
2025-08-07 08:46:44 -07:00
4571b708d9 fix(langgraph): support emitting messages from subgraphs when messages mode explicitly requested (#5836)
Reproduces:
https://github.com/langchain-ai/langgraph/issues/5249#issuecomment-3156519635
Caused after this change:
https://github.com/langchain-ai/langgraph/pull/4843

Fix to allow emitting messages from subgraphs if the subgraphs
explicitly used a stream mode "messages".

```python

def node_in_parent(...):
   # subgraph was called as a function.
   # messages are explicitly requested.
   for event in subgraph.stream(..., stream_mode="messages"):
      # something is done with `event`
   return ...

# subgraphs = False!
parent_graph.invoke(..., subgraphs=False)
```

The code above should continue to work correctly regardless of the value
of subgraphs as streaming messages was requested explicitly in the
parent node!

---------

Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com>
2025-08-07 10:10:52 -04:00
Sydney RunkleandGitHub e365b2b8bd fix(prebuilt): raise on additional deprecated kwargs (#5848) 2025-08-06 21:08:42 +00:00
Isaac FranciscoandGitHub b5504506a7 fix: add resiliency for task cancellation (#5846) 2025-08-06 13:31:52 -07:00
Nuno CamposandGitHub c6ae8d25b9 perf: Save updated_channels to checkpoint (#5828)
- This makes prepare_next_tasks constant on number of nodes in all
cases, whereas before we were falling back to node iteration when
resuming from an existing checkpoint
2025-08-06 19:09:33 +01:00
109 changed files with 11908 additions and 1855 deletions
+7 -2
View File
@@ -1,10 +1,15 @@
import ast
import os
from itertools import filterfalse
from typing import List, Tuple
from typing import Dict, List, Tuple
ROOT_PATH = os.path.abspath(os.path.join(__file__, "..", "..", ".."))
CLIENT_PATH = os.path.join(ROOT_PATH, "libs", "sdk-py", "langgraph_sdk", "client.py")
ASYNC_TO_SYNC_METHOD_MAP: Dict[str, str] = {
"aclose": "close",
"__aenter__": "__enter__",
"__aexit__": "__exit__",
}
def get_class_methods(node: ast.ClassDef) -> List[str]:
@@ -22,7 +27,7 @@ def find_classes(tree: ast.AST) -> List[Tuple[str, List[str]]]:
def compare_sync_async_methods(sync_methods: List[str], async_methods: List[str]) -> List[str]:
sync_set = set(sync_methods)
async_set = set(async_methods)
async_set = {ASYNC_TO_SYNC_METHOD_MAP.get(async_method, async_method) for async_method in async_methods}
missing_in_sync = list(async_set - sync_set)
missing_in_async = list(sync_set - async_set)
return missing_in_sync + missing_in_async
+125 -87
View File
@@ -1,107 +1,145 @@
import asyncio
import json
import os
import pathlib
import sys
import langgraph_cli
import langgraph_cli.docker
import langgraph_cli.config
import time
from urllib import request, error
import langgraph_cli
import langgraph_cli.config
import langgraph_cli.docker
from langgraph_cli.cli import prepare_args_and_stdin
from langgraph_cli.constants import DEFAULT_PORT
from langgraph_cli.exec import Runner, subp_exec
from langgraph_cli.progress import Progress
from langgraph_cli.constants import DEFAULT_PORT
def test(
config: pathlib.Path,
port: int,
tag: str,
verbose: bool,
):
def test(config: pathlib.Path, port: int, tag: str, verbose: bool):
"""Spin up API with Postgres/Redis via docker compose and wait until ready."""
with Runner() as runner, Progress(message="Pulling...") as set:
# check docker available
# Detect docker/compose capabilities
capabilities = langgraph_cli.docker.check_capabilities(runner)
# open config
# Validate config and prepare compose stdin/args using built image
config_json = langgraph_cli.config.validate_config_file(config)
args, stdin = prepare_args_and_stdin(
capabilities=capabilities,
config_path=config,
config=config_json,
docker_compose=None,
port=port,
watch=False,
debugger_port=None,
debugger_base_url=f"http://127.0.0.1:{port}",
postgres_uri=None,
api_version=None,
image=tag,
base_image=None,
)
set("Running...")
args = [
"run",
"--rm",
"-p",
f"{port}:8000",
]
if isinstance(config_json["env"], str):
args.extend(
[
"--env-file",
str(config.parent / config_json["env"]),
]
)
else:
for k, v in config_json["env"].items():
args.extend(
[
"-e",
f"{k}={v}",
]
)
if capabilities.healthcheck_start_interval:
args.extend(
[
"--health-interval",
"5s",
"--health-retries",
"1",
"--health-start-period",
"10s",
"--health-start-interval",
"1s",
]
)
else:
args.extend(
[
"--health-interval",
"5s",
"--health-retries",
"2",
]
)
# Compose up with wait (implies detach), similar to `langgraph up --wait`
args_up = [*args, "up", "--remove-orphans", "--wait"]
_task = None
def on_stdout(line: str):
nonlocal _task
if "GET /ok" in line or "Uvicorn running on" in line:
set("")
sys.stdout.write(
f"""Ready!
- API: http://localhost:{port}
"""
)
sys.stdout.flush()
_task.cancel()
return True
return False
async def subp_exec_task(*args, **kwargs):
nonlocal _task
_task = asyncio.create_task(subp_exec(*args, **kwargs))
await _task
compose_cmd = ["docker", "compose"]
if capabilities.compose_type == "standalone":
compose_cmd = ["docker-compose"]
set("Starting...")
try:
runner.run(
subp_exec_task(
"docker",
*args,
tag,
subp_exec(
*compose_cmd,
*args_up,
input=stdin,
verbose=verbose,
on_stdout=on_stdout,
)
)
except asyncio.CancelledError:
pass
except Exception as e: # noqa: BLE001
# On failure, show diagnostics then ensure clean teardown
sys.stderr.write(f"docker compose up failed: {e}\n")
try:
sys.stderr.write("\n== docker compose ps ==\n")
runner.run(subp_exec(*compose_cmd, *args, "ps", input=stdin, verbose=False))
except Exception:
pass
try:
sys.stderr.write("\n== docker compose logs (api) ==\n")
runner.run(
subp_exec(
*compose_cmd,
*args,
"logs",
"langgraph-api",
input=stdin,
verbose=False,
)
)
except Exception:
pass
finally:
try:
runner.run(
subp_exec(
*compose_cmd,
*args,
"down",
"-v",
"--remove-orphans",
input=stdin,
verbose=False,
)
)
finally:
raise
set("")
base_url = f"http://localhost:{port}"
ok_url = f"{base_url}/ok"
print(f"Waiting for {ok_url} to respond with 200...")
deadline = time.time() + 30
last_err: Exception | None = None
while time.time() < deadline:
try:
with request.urlopen(ok_url, timeout=2) as resp:
if resp.status == 200:
sys.stdout.write(
f"""Ready!\n- API: {base_url}\n- /ok: 200 OK\n"""
)
sys.stdout.flush()
break
else:
last_err = RuntimeError(f"Unexpected status: {resp.status}")
print(f"Unexpected status: {resp.status}")
except error.URLError as e:
last_err = e
except Exception as e: # noqa: BLE001
last_err = e
time.sleep(0.5)
else:
# Bring stack down before raising
args_down = [*args, "down", "-v", "--remove-orphans"]
try:
runner.run(
subp_exec(
*compose_cmd,
*args_down,
input=stdin,
verbose=verbose,
)
)
finally:
raise SystemExit(
f"/ok did not return 202 within timeout. Last error: {last_err}"
)
# Clean up: bring compose stack down to free ports for next test
args_down = [*args, "down", "-v", "--remove-orphans"]
runner.run(
subp_exec(
*compose_cmd,
*args_down,
input=stdin,
verbose=verbose,
)
)
if __name__ == "__main__":
@@ -110,6 +148,6 @@ if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-t", "--tag", type=str)
parser.add_argument("-c", "--config", type=str, default="./langgraph.json")
parser.add_argument("-p", "--port", default=DEFAULT_PORT)
parser.add_argument("-p", "--port", type=int, default=DEFAULT_PORT)
args = parser.parse_args()
test(pathlib.Path(args.config), args.port, args.tag, verbose=True)
+44 -5
View File
@@ -43,28 +43,43 @@ jobs:
- name: Build and test service A
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
# The build-arg isn't used; just testing that we accept other args
langgraph build -t langgraph-test-a --base-image "langchain/langgraph-trial"
cp .env.example .envg
langgraph build -t langgraph-test-a
cp .env.example .env
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -c langgraph.json -t langgraph-test-a
- name: Build and test service B
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples/graphs
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
langgraph build -t langgraph-test-b --base-image "langchain/langgraph-trial"
langgraph build -t langgraph-test-b
cp ../.env.example .env
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-b
- name: Build and test service C
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples/graphs_reqs_a
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
langgraph build -t langgraph-test-c --base-image "langchain/langgraph-trial"
langgraph build -t langgraph-test-c
cp ../.env.example .env
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-c
- name: Build and test service D
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples/graphs_reqs_b
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
langgraph build -t langgraph-test-d --base-image "langchain/langgraph-trial"
langgraph build -t langgraph-test-d
cp ../.env.example .env
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-d
- name: Build JS service
@@ -72,3 +87,27 @@ jobs:
working-directory: libs/cli/js-examples
run: |
langgraph build -t langgraph-test-e
- name: Build JS monorepo service
if: steps.changed-files.outputs.all
working-directory: libs/cli/js-monorepo-example
run: |
langgraph build -t langgraph-test-f -c apps/agent/langgraph.json --build-command "yarn run turbo build" --install-command "yarn install"
- name: Build Python monorepo service
if: steps.changed-files.outputs.all
working-directory: libs/cli/python-monorepo-example
run: |
langgraph build -t langgraph-test-g -c apps/agent/langgraph.json
cp apps/agent/.env.example apps/agent/.env
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> apps/agent/.env; fi
timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-g -c apps/agent/langgraph.json
- name: Build and test prerelease reqs service
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples/graph_prerelease_reqs
run: |
langgraph build -t langgraph-test-h
cp ../.env.example .env
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
+1
View File
@@ -78,6 +78,7 @@ jobs:
"libs/checkpoint-sqlite",
"libs/checkpoint-postgres",
"libs/prebuilt",
"libs/sdk-py",
]
if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true'
uses: ./.github/workflows/_test.yml
+7 -1
View File
@@ -62,7 +62,13 @@ jobs:
working-directory: ${{ inputs.working-directory }}
run: |
PKG_NAME=$(grep -m 1 "^name = " pyproject.toml | cut -d '"' -f 2)
VERSION=$(grep -m 1 "^version = " pyproject.toml | cut -d '"' -f 2)
if grep -q 'dynamic.*=.*\[.*"version".*\]' pyproject.toml; then
# handle dynamic versioning
DIR_NAME=$(echo "$PKG_NAME" | tr '-' '_')
VERSION=$(grep -m 1 '^__version__' "${DIR_NAME}/__init__.py" | cut -d '"' -f 2)
else
VERSION=$(grep -m 1 "^version = " pyproject.toml | cut -d '"' -f 2)
fi
SHORT_PKG_NAME="$(echo "$PKG_NAME" | sed -e 's/langgraph//g' -e 's/-//g')"
if [ -z $SHORT_PKG_NAME ]; then
TAG="$VERSION"
+2 -2
View File
@@ -190,11 +190,11 @@ REDIRECT_MAP = {
"concepts/langgraph_cloud.md": "https://docs.langchain.com/langgraph-platform/cloud",
"concepts/langgraph_self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/hybrid",
"concepts/langgraph_self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/self-hosted",
"concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langgraph-platform/self-hosted#data-plane-only",
"concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langgraph-platform/self-hosted#standalone-server",
"cloud/deployment/cloud.md": "https://docs.langchain.com/langgraph-platform/cloud",
"cloud/deployment/self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-hybrid",
"cloud/deployment/self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-self-hosted-full-platform",
"cloud/deployment/standalone_container.md": "https://docs.langchain.com/langgraph-platform/deploy-data-plane-only",
"cloud/deployment/standalone_container.md": "https://docs.langchain.com/langgraph-platform/deploy-standalone-server",
"concepts/server-mcp.md": "https://docs.langchain.com/langgraph-platform/server-mcp",
"cloud/how-tos/human_in_the_loop_time_travel.md": "https://docs.langchain.com/langgraph-platform/human-in-the-loop-time-travel",
"cloud/how-tos/add-human-in-the-loop.md": "https://docs.langchain.com/langgraph-platform/add-human-in-the-loop",
+9 -8
View File
@@ -367,13 +367,13 @@ To implement handoffs with `createReactAgent`, you need to:
3. Define a parent graph that contains individual agents as nodes:
```typescript
import { StateGraph, MessagesZodState } from "@langchain/langgraph";
const multiAgentGraph = new StateGraph(MessagesZodState)
.addNode("flight_assistant", flightAssistant)
.addNode("hotel_assistant", hotelAssistant)
// ...
```
```typescript
import { StateGraph, MessagesZodState } from "@langchain/langgraph";
const multiAgentGraph = new StateGraph(MessagesZodState)
.addNode("flight_assistant", flightAssistant)
.addNode("hotel_assistant", hotelAssistant)
// ...
```
:::
@@ -619,7 +619,8 @@ for await (const chunk of multiAgentGraph.stream({
3. Name of the agent or node to hand off to.
4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
5. Indicate to LangGraph that we need to navigate to agent node in a **parent** multi-agent graph.
:::
:::
!!! Note
+2 -2
View File
@@ -99,8 +99,8 @@ Starting from the `LangGraph Platform` view...
1. In the top-right corner, select the gear icon (`Deployment Settings`).
1. Update the `Git Branch` to the desired branch.
1. Check/uncheck checkbox to `Automatically update deployment on push to branch`.
1. Branch creation/deletion and tag creation/deletion events will not trigger an update. Only pushes to an existing branch will trigger an update.
1. Pushes in quick succession to a branch will not trigger subsequent updates. In the future, this functionality may be changed/improved.
1. Branch creation/deletion and tag creation/deletion events will not trigger an update. Only pushes to an existing branch will trigger an update.
1. Pushes in quick succession to a branch will queue subsequent updates. Once a build completes, the most recent commit will begin building and the other queued builds will be skipped.
## Add or Remove GitHub Repositories
File diff suppressed because it is too large Load Diff
+3 -3
View File
@@ -483,19 +483,19 @@ The LangGraph CLI requires a JSON configuration file that follows this [schema](
RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt langchain_community langchain_anthropic langchain_openai wikipedia scikit-learn
ADD ./graphs /deps/__outer_graphs/src
ADD ./graphs /deps/outer-graphs/src
RUN set -ex && \
for line in '[project]' \
'name = "graphs"' \
'version = "0.1"' \
'[tool.setuptools.package-data]' \
'"*" = ["**/*"]'; do \
echo "$line" >> /deps/__outer_graphs/pyproject.toml; \
echo "$line" >> /deps/outer-graphs/pyproject.toml; \
done
RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt -e /deps/*
ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_graphs/src/agent.py:graph", "storm": "/deps/__outer_graphs/src/storm.py:graph"}'
ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-graphs/src/agent.py:graph", "storm": "/deps/outer-graphs/src/storm.py:graph"}'
```
???+ note "Updating your langgraph.json file"
+1 -1
View File
@@ -1040,7 +1040,7 @@ def node_a(state: State, runtime: Runtime[ContextSchema]):
...
```
See [this guide](../how-tos/graph-api.ipynb#add-runtime-configuration) for a full breakdown on configuration.
See [this guide](../how-tos/graph-api.md#add-runtime-configuration) for a full breakdown on configuration.
:::
:::js
+7
View File
@@ -6,7 +6,14 @@
Install the `langchain-mcp-adapters` library to use MCP tools in LangGraph:
:::python
```bash
pip install langchain-mcp-adapters
```
:::
:::js
```bash
npm install @langchain/mcp-adapters
```
:::
+2 -1
View File
@@ -315,7 +315,8 @@ In our example, the output of `get_state_history` will look like this:
tasks=(),
),
StateSnapshot(
values={'foo': 'a', 'bar': ['a']}, next=('node_b',),
values={'foo': 'a', 'bar': ['a']},
next=('node_b',),
config={'configurable': {'thread_id': '1', 'checkpoint_ns': '', 'checkpoint_id': '1ef663ba-28f9-6ec4-8001-31981c2c39f8'}},
metadata={'source': 'loop', 'writes': {'node_a': {'foo': 'a', 'bar': ['a']}}, 'step': 1},
created_at='2024-08-29T19:19:38.819946+00:00',
+1 -1
View File
@@ -12,7 +12,7 @@ There are three different plans for using it.
- **Developer**: All [LangSmith](https://smith.langchain.com/) users have access to this plan. You can sign up for this plan simply by creating a LangSmith account. This gives you access to the [local deployment](./deployment_options.md#free-deployment) option.
- **Plus**: All [LangSmith](https://smith.langchain.com/) users with a [Plus account](https://docs.smith.langchain.com/administration/pricing) have access to this plan. You can sign up for this plan simply by upgrading your LangSmith account to the Plus plan type. This gives you access to the [Cloud](./deployment_options.md#cloud-saas) deployment option.
- **Enterprise**: This is separate from LangSmith plans. You can sign up for this plan by contacting sales@langchain.dev. This gives you access to all [deployment options](./deployment_options.md).
- **Enterprise**: This is separate from LangSmith plans. You can sign up for this plan by [contacting our sales team](https://www.langchain.com/contact-sales). This gives you access to all [deployment options](./deployment_options.md).
## Plan Details
File diff suppressed because it is too large Load Diff
+684 -11
View File
@@ -22,6 +22,7 @@ To set up communication between the agents in a multi-agent system you can use [
To implement handoffs, you can return `Command` objects from your agent nodes or tools:
:::python
```python
from typing import Annotated
from langchain_core.tools import tool, InjectedToolCallId
@@ -73,25 +74,109 @@ def create_handoff_tool(*, agent_name: str, description: str | None = None):
commands = [tools_by_name[tool_call["name"]].invoke(tool_call) for tool_call in tool_calls]
return commands
```
:::
:::js
```typescript
import { tool } from "@langchain/core/tools";
import { Command, MessagesZodState } from "@langchain/langgraph";
import { z } from "zod";
function createHandoffTool({
agentName,
description,
}: {
agentName: string;
description?: string;
}) {
const name = `transfer_to_${agentName}`;
const toolDescription = description || `Transfer to ${agentName}`;
return tool(
async (_, config) => {
// (1)!
const state = config.state;
const toolCallId = config.toolCall.id;
const toolMessage = {
role: "tool" as const,
content: `Successfully transferred to ${agentName}`,
name: name,
tool_call_id: toolCallId,
};
return new Command({
// (3)!
goto: agentName,
// (4)!
update: { messages: [...state.messages, toolMessage] },
// (5)!
graph: Command.PARENT,
});
},
{
name,
description: toolDescription,
schema: z.object({}),
}
);
}
```
1. Access the [state](../concepts/low_level.md#state) of the agent that is calling the handoff tool through the `config` parameter.
2. The `Command` primitive allows specifying a state update and a node transition as a single operation, making it useful for implementing handoffs.
3. Name of the agent or node to hand off to.
4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
5. Indicate to LangGraph that we need to navigate to agent node in a **parent** multi-agent graph.
!!! tip
If you want to use tools that return `Command`, you can either use prebuilt @[`create_react_agent`][create_react_agent] / @[`ToolNode`][ToolNode] components, or implement your own tool-executing node that collects `Command` objects returned by the tools and returns a list of them, e.g.:
```typescript
const callTools = async (state) => {
// ...
const commands = await Promise.all(
toolCalls.map(toolCall => toolsByName[toolCall.name].invoke(toolCall))
);
return commands;
};
```
:::
!!! Important
This handoff implementation assumes that:
- each agent receives overall message history (across all agents) in the multi-agent system as its input. If you want more control over agent inputs, see [this section](#control-agent-inputs)
- each agent outputs its internal messages history to the overall message history of the multi-agent system. If you want more control over **how agent outputs are added**, wrap the agent in a separate node function:
- each agent receives overall message history (across all agents) in the multi-agent system as its input. If you want more control over agent inputs, see [this section](#control-agent-inputs)
- each agent outputs its internal messages history to the overall message history of the multi-agent system. If you want more control over **how agent outputs are added**, wrap the agent in a separate node function:
```python
def call_hotel_assistant(state):
# return agent's final response,
# excluding inner monologue
response = hotel_assistant.invoke(state)
# highlight-next-line
return {"messages": response["messages"][-1]}
```
:::python
```python
def call_hotel_assistant(state):
# return agent's final response,
# excluding inner monologue
response = hotel_assistant.invoke(state)
# highlight-next-line
return {"messages": response["messages"][-1]}
```
:::
:::js
```typescript
const callHotelAssistant = async (state) => {
// return agent's final response,
// excluding inner monologue
const response = await hotelAssistant.invoke(state);
// highlight-next-line
return { messages: [response.messages.at(-1)] };
};
```
:::
### Control agent inputs
:::python
You can use the @[`Send()`][Send] primitive to directly send data to the worker agents during the handoff. For example, you can request that the calling agent populate a task description for the next agent:
```python
@@ -129,6 +214,63 @@ def create_task_description_handoff_tool(
return handoff_tool
```
:::
:::js
You can use the @[`Send()`][Send] primitive to directly send data to the worker agents during the handoff. For example, you can request that the calling agent populate a task description for the next agent:
```typescript
import { tool } from "@langchain/core/tools";
import { Command, Send, MessagesZodState } from "@langchain/langgraph";
import { z } from "zod";
function createTaskDescriptionHandoffTool({
agentName,
description,
}: {
agentName: string;
description?: string;
}) {
const name = `transfer_to_${agentName}`;
const toolDescription = description || `Ask ${agentName} for help.`;
return tool(
async (
{ taskDescription },
config
) => {
const state = config.state;
const taskDescriptionMessage = {
role: "user" as const,
content: taskDescription,
};
const agentInput = {
...state,
messages: [taskDescriptionMessage],
};
return new Command({
// highlight-next-line
goto: [new Send(agentName, agentInput)],
graph: Command.PARENT,
});
},
{
name,
description: toolDescription,
schema: z.object({
taskDescription: z
.string()
.describe(
"Description of what the next agent should do, including all of the relevant context."
),
}),
}
);
}
```
:::
See the multi-agent [supervisor](../tutorials/multi_agent/agent_supervisor.md#4-create-delegation-tasks) example for a full example of using @[`Send()`][Send] in handoffs.
@@ -136,6 +278,7 @@ See the multi-agent [supervisor](../tutorials/multi_agent/agent_supervisor.md#4-
You can use handoffs in any agents built with LangGraph. We recommend using the prebuilt [agent](../agents/overview.md) or [`ToolNode`](./tool-calling.md#toolnode), as they natively support handoffs tools returning `Command`. Below is an example of how you can implement a multi-agent system for booking travel using handoffs:
:::python
```python
from langgraph.prebuilt import create_react_agent
from langgraph.graph import StateGraph, START, MessagesState
@@ -176,9 +319,65 @@ multi_agent_graph = (
.compile()
)
```
:::
:::js
```typescript
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { StateGraph, START, MessagesZodState } from "@langchain/langgraph";
import { z } from "zod";
function createHandoffTool({
agentName,
description,
}: {
agentName: string;
description?: string;
}) {
// same implementation as above
// ...
return new Command(/* ... */);
}
// Handoffs
const transferToHotelAssistant = createHandoffTool({
agentName: "hotel_assistant",
});
const transferToFlightAssistant = createHandoffTool({
agentName: "flight_assistant",
});
// Define agents
const flightAssistant = createReactAgent({
llm: model,
// highlight-next-line
tools: [/* ... */, transferToHotelAssistant],
// highlight-next-line
name: "flight_assistant",
});
const hotelAssistant = createReactAgent({
llm: model,
// highlight-next-line
tools: [/* ... */, transferToFlightAssistant],
// highlight-next-line
name: "hotel_assistant",
});
// Define multi-agent graph
const multiAgentGraph = new StateGraph(MessagesZodState)
// highlight-next-line
.addNode("flight_assistant", flightAssistant)
// highlight-next-line
.addNode("hotel_assistant", hotelAssistant)
.addEdge(START, "flight_assistant")
.compile();
```
:::
??? example "Full example: Multi-agent system for booking travel"
:::python
```python
from typing import Annotated
from langchain_core.messages import convert_to_messages
@@ -323,6 +522,183 @@ multi_agent_graph = (
3. Name of the agent or node to hand off to.
4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
5. Indicate to LangGraph that we need to navigate to agent node in a **parent** multi-agent graph.
:::
:::js
```typescript
import { tool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { StateGraph, START, MessagesZodState, Command } from "@langchain/langgraph";
import { ChatAnthropic } from "@langchain/anthropic";
import { isBaseMessage } from "@langchain/core/messages";
import { z } from "zod";
// We'll use a helper to render the streamed agent outputs nicely
const prettyPrintMessages = (update: Record<string, any>) => {
// Handle tuple case with namespace
if (Array.isArray(update)) {
const [ns, updateData] = update;
// Skip parent graph updates in the printouts
if (ns.length === 0) {
return;
}
const graphId = ns[ns.length - 1].split(":")[0];
console.log(`Update from subgraph ${graphId}:\n`);
update = updateData;
}
for (const [nodeName, updateValue] of Object.entries(update)) {
console.log(`Update from node ${nodeName}:\n`);
const messages = updateValue.messages || [];
for (const message of messages) {
if (isBaseMessage(message)) {
const textContent =
typeof message.content === "string"
? message.content
: JSON.stringify(message.content);
console.log(`${message.getType()}: ${textContent}`);
}
}
console.log("\n");
}
};
function createHandoffTool({
agentName,
description,
}: {
agentName: string;
description?: string;
}) {
const name = `transfer_to_${agentName}`;
const toolDescription = description || `Transfer to ${agentName}`;
return tool(
async (_, config) => {
// highlight-next-line
const state = config.state; // (1)!
const toolCallId = config.toolCall.id;
const toolMessage = {
role: "tool" as const,
content: `Successfully transferred to ${agentName}`,
name: name,
tool_call_id: toolCallId,
};
return new Command({
// highlight-next-line
goto: agentName, // (3)!
// highlight-next-line
update: { messages: [...state.messages, toolMessage] }, // (4)!
// highlight-next-line
graph: Command.PARENT, // (5)!
});
},
{
name,
description: toolDescription,
schema: z.object({}),
}
);
}
// Handoffs
const transferToHotelAssistant = createHandoffTool({
agentName: "hotel_assistant",
description: "Transfer user to the hotel-booking assistant.",
});
const transferToFlightAssistant = createHandoffTool({
agentName: "flight_assistant",
description: "Transfer user to the flight-booking assistant.",
});
// Simple agent tools
const bookHotel = tool(
async ({ hotelName }) => {
return `Successfully booked a stay at ${hotelName}.`;
},
{
name: "book_hotel",
description: "Book a hotel",
schema: z.object({
hotelName: z.string(),
}),
}
);
const bookFlight = tool(
async ({ fromAirport, toAirport }) => {
return `Successfully booked a flight from ${fromAirport} to ${toAirport}.`;
},
{
name: "book_flight",
description: "Book a flight",
schema: z.object({
fromAirport: z.string(),
toAirport: z.string(),
}),
}
);
const model = new ChatAnthropic({
model: "claude-3-5-sonnet-latest",
});
// Define agents
const flightAssistant = createReactAgent({
llm: model,
// highlight-next-line
tools: [bookFlight, transferToHotelAssistant],
prompt: "You are a flight booking assistant",
// highlight-next-line
name: "flight_assistant",
});
const hotelAssistant = createReactAgent({
llm: model,
// highlight-next-line
tools: [bookHotel, transferToFlightAssistant],
prompt: "You are a hotel booking assistant",
// highlight-next-line
name: "hotel_assistant",
});
// Define multi-agent graph
const multiAgentGraph = new StateGraph(MessagesZodState)
.addNode("flight_assistant", flightAssistant)
.addNode("hotel_assistant", hotelAssistant)
.addEdge(START, "flight_assistant")
.compile();
// Run the multi-agent graph
const stream = await multiAgentGraph.stream(
{
messages: [
{
role: "user",
content: "book a flight from BOS to JFK and a stay at McKittrick Hotel",
},
],
},
// highlight-next-line
{ subgraphs: true }
);
for await (const chunk of stream) {
prettyPrintMessages(chunk);
}
```
1. Access agent's state
2. The `Command` primitive allows specifying a state update and a node transition as a single operation, making it useful for implementing handoffs.
3. Name of the agent or node to hand off to.
4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
5. Indicate to LangGraph that we need to navigate to agent node in a **parent** multi-agent graph.
:::
## Multi-turn conversation
@@ -333,6 +709,7 @@ The agents can then be implemented as nodes in a graph that executes agent steps
1. **Wait for user input** to continue the conversation, or
2. **Route to another agent** (or back to itself, such as in a loop) via a [handoff](#handoffs)
:::python
```python
def human(state) -> Command[Literal["agent", "another_agent"]]:
"""A node for collecting user input."""
@@ -360,6 +737,44 @@ def agent(state) -> Command[Literal["agent", "another_agent", "human"]]:
else:
return Command(goto="human") # Go to human node
```
:::
:::js
```typescript
import { interrupt, Command } from "@langchain/langgraph";
function human(state: MessagesState): Command {
const userInput: string = interrupt("Ready for user input.");
// Determine the active agent
const activeAgent = /* ... */;
return new Command({
update: {
messages: [{
role: "human",
content: userInput,
}]
},
goto: activeAgent,
});
}
function agent(state: MessagesState): Command {
// The condition for routing/halting can be anything, e.g. LLM tool call / structured output, etc.
const goto = getNextAgent(/* ... */); // 'agent' / 'anotherAgent'
if (goto) {
return new Command({
goto,
update: { myStateKey: "myStateValue" }
});
}
return new Command({ goto: "human" });
}
```
:::
??? example "Full example: multi-agent system for travel recommendations"
@@ -370,6 +785,7 @@ def agent(state) -> Command[Literal["agent", "another_agent", "human"]]:
* travel_advisor: can help with travel destination recommendations. Can ask hotel_advisor for help.
* hotel_advisor: can help with hotel recommendations. Can ask travel_advisor for help.
:::python
```python
from langchain_anthropic import ChatAnthropic
from langgraph.graph import MessagesState, StateGraph, START
@@ -571,10 +987,267 @@ def agent(state) -> Command[Literal["agent", "another_agent", "human"]]:
Would you like more specific information about any of these activities or would you like to know about other options in the area?
```
:::
:::js
```typescript
import { ChatAnthropic } from "@langchain/anthropic";
import { StateGraph, START, MessagesZodState, Command, interrupt, MemorySaver } from "@langchain/langgraph";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { tool } from "@langchain/core/tools";
import { z } from "zod";
const model = new ChatAnthropic({ model: "claude-3-5-sonnet-latest" });
const MultiAgentState = MessagesZodState.extend({
lastActiveAgent: z.string().optional(),
});
// Define travel advisor tools
const getTravelRecommendations = tool(
async () => {
// Placeholder implementation
return "Based on current trends, I recommend visiting Japan, Portugal, or New Zealand.";
},
{
name: "get_travel_recommendations",
description: "Get current travel destination recommendations",
schema: z.object({}),
}
);
const makeHandoffTool = (agentName: string) => {
return tool(
async (_, config) => {
const state = config.state;
const toolCallId = config.toolCall.id;
const toolMessage = {
role: "tool" as const,
content: `Successfully transferred to ${agentName}`,
name: `transfer_to_${agentName}`,
tool_call_id: toolCallId,
};
return new Command({
goto: agentName,
update: { messages: [...state.messages, toolMessage] },
graph: Command.PARENT,
});
},
{
name: `transfer_to_${agentName}`,
description: `Transfer to ${agentName}`,
schema: z.object({}),
}
);
};
const travelAdvisorTools = [
getTravelRecommendations,
makeHandoffTool("hotel_advisor"),
];
const travelAdvisor = createReactAgent({
llm: model,
tools: travelAdvisorTools,
prompt: [
"You are a general travel expert that can recommend travel destinations (e.g. countries, cities, etc). ",
"If you need hotel recommendations, ask 'hotel_advisor' for help. ",
"You MUST include human-readable response before transferring to another agent."
].join("")
});
const callTravelAdvisor = async (
state: z.infer<typeof MultiAgentState>
): Promise<Command> => {
const response = await travelAdvisor.invoke(state);
const update = { ...response, lastActiveAgent: "travel_advisor" };
return new Command({ update, goto: "human" });
};
// Define hotel advisor tools
const getHotelRecommendations = tool(
async () => {
// Placeholder implementation
return "I recommend the Ritz-Carlton for luxury stays or boutique hotels for unique experiences.";
},
{
name: "get_hotel_recommendations",
description: "Get hotel recommendations for destinations",
schema: z.object({}),
}
);
const hotelAdvisorTools = [
getHotelRecommendations,
makeHandoffTool("travel_advisor"),
];
const hotelAdvisor = createReactAgent({
llm: model,
tools: hotelAdvisorTools,
prompt: [
"You are a hotel expert that can provide hotel recommendations for a given destination. ",
"If you need help picking travel destinations, ask 'travel_advisor' for help.",
"You MUST include human-readable response before transferring to another agent."
].join("")
});
const callHotelAdvisor = async (
state: z.infer<typeof MultiAgentState>
): Promise<Command> => {
const response = await hotelAdvisor.invoke(state);
const update = { ...response, lastActiveAgent: "hotel_advisor" };
return new Command({ update, goto: "human" });
};
const humanNode = async (
state: z.infer<typeof MultiAgentState>
): Promise<Command> => {
const userInput: string = interrupt("Ready for user input.");
const activeAgent = state.lastActiveAgent || "travel_advisor";
return new Command({
update: {
messages: [
{
role: "human",
content: userInput,
}
]
},
goto: activeAgent,
});
};
const builder = new StateGraph(MultiAgentState)
.addNode("travel_advisor", callTravelAdvisor)
.addNode("hotel_advisor", callHotelAdvisor)
.addNode("human", humanNode)
.addEdge(START, "travel_advisor");
const checkpointer = new MemorySaver();
const graph = builder.compile({ checkpointer });
```
Let's test a multi turn conversation with this application.
```typescript
import { v4 as uuidv4 } from "uuid";
import { Command } from "@langchain/langgraph";
const threadConfig = { configurable: { thread_id: uuidv4() } };
const inputs = [
// 1st round of conversation
{
messages: [
{ role: "user", content: "i wanna go somewhere warm in the caribbean" }
]
},
// Since we're using `interrupt`, we'll need to resume using the Command primitive.
// 2nd round of conversation
new Command({
resume: "could you recommend a nice hotel in one of the areas and tell me which area it is."
}),
// 3rd round of conversation
new Command({
resume: "i like the first one. could you recommend something to do near the hotel?"
}),
];
for (const [idx, userInput] of inputs.entries()) {
console.log();
console.log(`--- Conversation Turn ${idx + 1} ---`);
console.log();
console.log(`User: ${JSON.stringify(userInput)}`);
console.log();
for await (const update of await graph.stream(
userInput,
{ ...threadConfig, streamMode: "updates" }
)) {
for (const [nodeId, value] of Object.entries(update)) {
if (value?.messages?.length) {
const lastMessage = value.messages.at(-1);
if (lastMessage?.getType?.() === "ai") {
console.log(`${nodeId}: ${lastMessage.content}`);
}
}
}
}
}
```
```
--- Conversation Turn 1 ---
User: {"messages":[{"role":"user","content":"i wanna go somewhere warm in the caribbean"}]}
travel_advisor: Based on the recommendations, Aruba would be an excellent choice for your Caribbean getaway! Aruba is known as "One Happy Island" and offers:
- Year-round warm weather with consistent temperatures around 82°F (28°C)
- Beautiful white sand beaches like Eagle Beach and Palm Beach
- Clear turquoise waters perfect for swimming and snorkeling
- Minimal rainfall and location outside the hurricane belt
- A blend of Caribbean and Dutch culture
- Great dining options and nightlife
- Various water sports and activities
Would you like me to get some specific hotel recommendations in Aruba for your stay? I can transfer you to our hotel advisor who can help with accommodations.
--- Conversation Turn 2 ---
User: Command { resume: 'could you recommend a nice hotel in one of the areas and tell me which area it is.' }
hotel_advisor: Based on the recommendations, I can suggest two excellent options:
1. The Ritz-Carlton, Aruba - Located in Palm Beach
- This luxury resort is situated in the vibrant Palm Beach area
- Known for its exceptional service and amenities
- Perfect if you want to be close to dining, shopping, and entertainment
- Features multiple restaurants, a casino, and a world-class spa
- Located on a pristine stretch of Palm Beach
2. Bucuti & Tara Beach Resort - Located in Eagle Beach
- An adults-only boutique resort on Eagle Beach
- Known for being more intimate and peaceful
- Award-winning for its sustainability practices
- Perfect for a romantic getaway or peaceful vacation
- Located on one of the most beautiful beaches in the Caribbean
Would you like more specific information about either of these properties or their locations?
--- Conversation Turn 3 ---
User: Command { resume: 'i like the first one. could you recommend something to do near the hotel?' }
travel_advisor: Near the Ritz-Carlton in Palm Beach, here are some highly recommended activities:
1. Visit the Palm Beach Plaza Mall - Just a short walk from the hotel, featuring shopping, dining, and entertainment
2. Try your luck at the Stellaris Casino - It's right in the Ritz-Carlton
3. Take a sunset sailing cruise - Many depart from the nearby pier
4. Visit the California Lighthouse - A scenic landmark just north of Palm Beach
5. Enjoy water sports at Palm Beach:
- Jet skiing
- Parasailing
- Snorkeling
- Stand-up paddleboarding
Would you like more specific information about any of these activities or would you like to know about other options in the area?
```
:::
## Prebuilt implementations
LangGraph comes with prebuilt implementations of two of the most popular multi-agent architectures:
:::python
- [supervisor](../agents/multi-agent.md#supervisor) — individual agents are coordinated by a central supervisor agent. The supervisor controls all communication flow and task delegation, making decisions about which agent to invoke based on the current context and task requirements. You can use [`langgraph-supervisor`](https://github.com/langchain-ai/langgraph-supervisor-py) library to create a supervisor multi-agent systems.
- [swarm](../agents/multi-agent.md#supervisor) — agents dynamically hand off control to one another based on their specializations. The system remembers which agent was last active, ensuring that on subsequent interactions, the conversation resumes with that agent. You can use [`langgraph-swarm`](https://github.com/langchain-ai/langgraph-swarm-py) library to create a swarm multi-agent systems.
- [swarm](../agents/multi-agent.md#supervisor) — agents dynamically hand off control to one another based on their specializations. The system remembers which agent was last active, ensuring that on subsequent interactions, the conversation resumes with that agent. You can use [`langgraph-swarm`](https://github.com/langchain-ai/langgraph-swarm-py) library to create a swarm multi-agent systems.
:::
:::js
- [supervisor](../agents/multi-agent.md#supervisor) — individual agents are coordinated by a central supervisor agent. The supervisor controls all communication flow and task delegation, making decisions about which agent to invoke based on the current context and task requirements. You can use [`langgraph-supervisor`](https://github.com/langchain-ai/langgraph-supervisor-js) library to create a supervisor multi-agent systems.
- [swarm](../agents/multi-agent.md#supervisor) — agents dynamically hand off control to one another based on their specializations. The system remembers which agent was last active, ensuring that on subsequent interactions, the conversation resumes with that agent. You can use [`langgraph-swarm`](https://github.com/langchain-ai/langgraph-swarm-js) library to create a swarm multi-agent systems.
:::
+465 -8
View File
@@ -9,11 +9,20 @@ When adding subgraphs, you need to define how the parent graph and the subgraph
## Setup
:::python
```bash
pip install -U langgraph
```
:::
:::js
```bash
npm install @langchain/langgraph
```
:::
!!! tip "Set up LangSmith for LangGraph development"
Sign up for [LangSmith](https://smith.langchain.com) to quickly spot issues and improve the performance of your LangGraph projects. LangSmith lets you use trace data to debug, test, and monitor your LLM apps built with LangGraph — read more about how to get started [here](https://docs.smith.langchain.com).
## Shared state schemas
@@ -22,6 +31,7 @@ A common case is for the parent graph and subgraph to communicate over a shared
If your subgraph shares state keys with the parent graph, you can follow these steps to add it to your graph:
:::python
1. Define the subgraph workflow (`subgraph_builder` in the example below) and compile it
2. Pass compiled subgraph to the `.add_node` method when defining the parent graph workflow
@@ -49,9 +59,41 @@ builder.add_node("node_1", subgraph)
builder.add_edge(START, "node_1")
graph = builder.compile()
```
:::
:::js
1. Define the subgraph workflow (`subgraphBuilder` in the example below) and compile it
2. Pass compiled subgraph to the `.addNode` method when defining the parent graph workflow
```typescript
import { StateGraph, START } from "@langchain/langgraph";
import { z } from "zod";
const State = z.object({
foo: z.string(),
});
// Subgraph
const subgraphBuilder = new StateGraph(State)
.addNode("subgraphNode1", (state) => {
return { foo: "hi! " + state.foo };
})
.addEdge(START, "subgraphNode1");
const subgraph = subgraphBuilder.compile();
// Parent graph
const builder = new StateGraph(State)
.addNode("node1", subgraph)
.addEdge(START, "node1");
const graph = builder.compile();
```
:::
??? example "Full example: shared state schemas"
:::python
```python
from typing_extensions import TypedDict
from langgraph.graph.state import StateGraph, START
@@ -101,6 +143,61 @@ graph = builder.compile()
{'node_1': {'foo': 'hi! foo'}}
{'node_2': {'foo': 'hi! foobar'}}
```
:::
:::js
```typescript
import { StateGraph, START } from "@langchain/langgraph";
import { z } from "zod";
// Define subgraph
const SubgraphState = z.object({
foo: z.string(), // (1)!
bar: z.string(), // (2)!
});
const subgraphBuilder = new StateGraph(SubgraphState)
.addNode("subgraphNode1", (state) => {
return { bar: "bar" };
})
.addNode("subgraphNode2", (state) => {
// note that this node is using a state key ('bar') that is only available in the subgraph
// and is sending update on the shared state key ('foo')
return { foo: state.foo + state.bar };
})
.addEdge(START, "subgraphNode1")
.addEdge("subgraphNode1", "subgraphNode2");
const subgraph = subgraphBuilder.compile();
// Define parent graph
const ParentState = z.object({
foo: z.string(),
});
const builder = new StateGraph(ParentState)
.addNode("node1", (state) => {
return { foo: "hi! " + state.foo };
})
.addNode("node2", subgraph)
.addEdge(START, "node1")
.addEdge("node1", "node2");
const graph = builder.compile();
for await (const chunk of await graph.stream({ foo: "foo" })) {
console.log(chunk);
}
```
3. This key is shared with the parent graph state
4. This key is private to the `SubgraphState` and is not visible to the parent graph
```
{ node1: { foo: 'hi! foo' } }
{ node2: { foo: 'hi! foobar' } }
```
:::
## Different state schemas
@@ -108,6 +205,7 @@ For more complex systems you might want to define subgraphs that have a **comple
If that's the case for your application, you need to define a node **function that invokes the subgraph**. This function needs to transform the input (parent) state to the subgraph state before invoking the subgraph, and transform the results back to the parent state before returning the state update from the node.
:::python
```python
from typing_extensions import TypedDict
from langgraph.graph.state import StateGraph, START
@@ -142,9 +240,48 @@ graph = builder.compile()
1. Transform the state to the subgraph state
2. Transform response back to the parent state
:::
:::js
```typescript
import { StateGraph, START } from "@langchain/langgraph";
import { z } from "zod";
const SubgraphState = z.object({
bar: z.string(),
});
// Subgraph
const subgraphBuilder = new StateGraph(SubgraphState)
.addNode("subgraphNode1", (state) => {
return { bar: "hi! " + state.bar };
})
.addEdge(START, "subgraphNode1");
const subgraph = subgraphBuilder.compile();
// Parent graph
const State = z.object({
foo: z.string(),
});
const builder = new StateGraph(State)
.addNode("node1", async (state) => {
const subgraphOutput = await subgraph.invoke({ bar: state.foo }); // (1)!
return { foo: subgraphOutput.bar }; // (2)!
})
.addEdge(START, "node1");
const graph = builder.compile();
```
1. Transform the state to the subgraph state
2. Transform response back to the parent state
:::
??? example "Full example: different state schemas"
:::python
```python
from typing_extensions import TypedDict
from langgraph.graph.state import StateGraph, START
@@ -200,11 +337,74 @@ graph = builder.compile()
(('node_2:9c36dd0f-151a-cb42-cbad-fa2f851f9ab7',), {'grandchild_2': {'bar': 'hi! foobaz'}})
((), {'node_2': {'foo': 'hi! foobaz'}})
```
:::
:::js
```typescript
import { StateGraph, START } from "@langchain/langgraph";
import { z } from "zod";
// Define subgraph
const SubgraphState = z.object({
// note that none of these keys are shared with the parent graph state
bar: z.string(),
baz: z.string(),
});
const subgraphBuilder = new StateGraph(SubgraphState)
.addNode("subgraphNode1", (state) => {
return { baz: "baz" };
})
.addNode("subgraphNode2", (state) => {
return { bar: state.bar + state.baz };
})
.addEdge(START, "subgraphNode1")
.addEdge("subgraphNode1", "subgraphNode2");
const subgraph = subgraphBuilder.compile();
// Define parent graph
const ParentState = z.object({
foo: z.string(),
});
const builder = new StateGraph(ParentState)
.addNode("node1", (state) => {
return { foo: "hi! " + state.foo };
})
.addNode("node2", async (state) => {
const response = await subgraph.invoke({ bar: state.foo }); // (1)!
return { foo: response.bar }; // (2)!
})
.addEdge(START, "node1")
.addEdge("node1", "node2");
const graph = builder.compile();
for await (const chunk of await graph.stream(
{ foo: "foo" },
{ subgraphs: true }
)) {
console.log(chunk);
}
```
3. Transform the state to the subgraph state
4. Transform response back to the parent state
```
[[], { node1: { foo: 'hi! foo' } }]
[['node2:9c36dd0f-151a-cb42-cbad-fa2f851f9ab7'], { subgraphNode1: { baz: 'baz' } }]
[['node2:9c36dd0f-151a-cb42-cbad-fa2f851f9ab7'], { subgraphNode2: { bar: 'hi! foobaz' } }]
[[], { node2: { foo: 'hi! foobaz' } }]
```
:::
??? example "Full example: different state schemas (two levels of subgraphs)"
This is an example with two levels of subgraphs: parent -> child -> grandchild.
:::python
```python
# Grandchild graph
from typing_extensions import TypedDict
@@ -288,14 +488,102 @@ graph = builder.compile()
((), {'child': {'my_key': 'hi Bob, how are you today?'}})
((), {'parent_2': {'my_key': 'hi Bob, how are you today? bye!'}})
```
:::
:::js
```typescript
import { StateGraph, START, END } from "@langchain/langgraph";
import { z } from "zod";
// Grandchild graph
const GrandChildState = z.object({
myGrandchildKey: z.string(),
});
const grandchild = new StateGraph(GrandChildState)
.addNode("grandchild1", (state) => {
// NOTE: child or parent keys will not be accessible here
return { myGrandchildKey: state.myGrandchildKey + ", how are you" };
})
.addEdge(START, "grandchild1")
.addEdge("grandchild1", END);
const grandchildGraph = grandchild.compile();
// Child graph
const ChildState = z.object({
myChildKey: z.string(),
});
const child = new StateGraph(ChildState)
.addNode("child1", async (state) => {
// NOTE: parent or grandchild keys won't be accessible here
const grandchildGraphInput = { myGrandchildKey: state.myChildKey }; // (1)!
const grandchildGraphOutput = await grandchildGraph.invoke(grandchildGraphInput);
return { myChildKey: grandchildGraphOutput.myGrandchildKey + " today?" }; // (2)!
}) // (3)!
.addEdge(START, "child1")
.addEdge("child1", END);
const childGraph = child.compile();
// Parent graph
const ParentState = z.object({
myKey: z.string(),
});
const parent = new StateGraph(ParentState)
.addNode("parent1", (state) => {
// NOTE: child or grandchild keys won't be accessible here
return { myKey: "hi " + state.myKey };
})
.addNode("child", async (state) => {
const childGraphInput = { myChildKey: state.myKey }; // (4)!
const childGraphOutput = await childGraph.invoke(childGraphInput);
return { myKey: childGraphOutput.myChildKey }; // (5)!
}) // (6)!
.addNode("parent2", (state) => {
return { myKey: state.myKey + " bye!" };
})
.addEdge(START, "parent1")
.addEdge("parent1", "child")
.addEdge("child", "parent2")
.addEdge("parent2", END);
const parentGraph = parent.compile();
for await (const chunk of await parentGraph.stream(
{ myKey: "Bob" },
{ subgraphs: true }
)) {
console.log(chunk);
}
```
7. We're transforming the state from the child state channels (`myChildKey`) to the grandchild state channels (`myGrandchildKey`)
8. We're transforming the state from the grandchild state channels (`myGrandchildKey`) back to the child state channels (`myChildKey`)
9. We're passing a function here instead of just compiled graph (`grandchildGraph`)
10. We're transforming the state from the parent state channels (`myKey`) to the child state channels (`myChildKey`)
11. We're transforming the state from the child state channels (`myChildKey`) back to the parent state channels (`myKey`)
12. We're passing a function here instead of just a compiled graph (`childGraph`)
```
[[], { parent1: { myKey: 'hi Bob' } }]
[['child:2e26e9ce-602f-862c-aa66-1ea5a4655e3b', 'child1:781bb3b1-3971-84ce-810b-acf819a03f9c'], { grandchild1: { myGrandchildKey: 'hi Bob, how are you' } }]
[['child:2e26e9ce-602f-862c-aa66-1ea5a4655e3b'], { child1: { myChildKey: 'hi Bob, how are you today?' } }]
[[], { child: { myKey: 'hi Bob, how are you today?' } }]
[[], { parent2: { myKey: 'hi Bob, how are you today? bye!' } }]
```
:::
## Add persistence
You only need to **provide the checkpointer when compiling the parent graph**. LangGraph will automatically propagate the checkpointer to the child subgraphs.
:::python
```python
from langgraph.graph import START, StateGraph
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.checkpoint.memory import MemorySaver
from typing_extensions import TypedDict
class State(TypedDict):
@@ -317,20 +605,66 @@ builder = StateGraph(State)
builder.add_node("node_1", subgraph)
builder.add_edge(START, "node_1")
checkpointer = InMemorySaver()
checkpointer = MemorySaver()
graph = builder.compile(checkpointer=checkpointer)
```
:::
If you want the subgraph to **have its own memory**, you can compile it `with checkpointer=True`. This is useful in [multi-agent](../concepts/multi_agent.md) systems, if you want agents to keep track of their internal message histories:
:::js
```typescript
import { StateGraph, START, MemorySaver } from "@langchain/langgraph";
import { z } from "zod";
const State = z.object({
foo: z.string(),
});
// Subgraph
const subgraphBuilder = new StateGraph(State)
.addNode("subgraphNode1", (state) => {
return { foo: state.foo + "bar" };
})
.addEdge(START, "subgraphNode1");
const subgraph = subgraphBuilder.compile();
// Parent graph
const builder = new StateGraph(State)
.addNode("node1", subgraph)
.addEdge(START, "node1");
const checkpointer = new MemorySaver();
const graph = builder.compile({ checkpointer });
```
:::
If you want the subgraph to **have its own memory**, you can compile it with the appropriate checkpointer option. This is useful in [multi-agent](../concepts/multi_agent.md) systems, if you want agents to keep track of their internal message histories:
:::python
```python
subgraph_builder = StateGraph(...)
subgraph = subgraph_builder.compile(checkpointer=True)
```
:::
:::js
```typescript
const subgraphBuilder = new StateGraph(...)
const subgraph = subgraphBuilder.compile({ checkpointer: true });
```
:::
## View subgraph state
When you enable [persistence](../concepts/persistence.md), you can [inspect the graph state](../concepts/persistence.md#checkpoints) (checkpoint) via `graph.get_state(config)`. To view the subgraph state, you can use `graph.get_state(config, subgraphs=True)`.
When you enable [persistence](../concepts/persistence.md), you can [inspect the graph state](../concepts/persistence.md#checkpoints) (checkpoint) via the appropriate method. To view the subgraph state, you can use the subgraphs option.
:::python
You can inspect the graph state via `graph.get_state(config)`. To view the subgraph state, you can use `graph.get_state(config, subgraphs=True)`.
:::
:::js
You can inspect the graph state via `graph.getState(config)`. To view the subgraph state, you can use `graph.getState(config, { subgraphs: true })`.
:::
!!! important "Available **only** when interrupted"
@@ -338,9 +672,10 @@ When you enable [persistence](../concepts/persistence.md), you can [inspect the
??? example "View interrupted subgraph state"
:::python
```python
from langgraph.graph import START, StateGraph
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.checkpoint.memory import MemorySaver
from langgraph.types import interrupt, Command
from typing_extensions import TypedDict
@@ -365,7 +700,7 @@ When you enable [persistence](../concepts/persistence.md), you can [inspect the
builder.add_node("node_1", subgraph)
builder.add_edge(START, "node_1")
checkpointer = InMemorySaver()
checkpointer = MemorySaver()
graph = builder.compile(checkpointer=checkpointer)
config = {"configurable": {"thread_id": "1"}}
@@ -379,11 +714,53 @@ When you enable [persistence](../concepts/persistence.md), you can [inspect the
```
1. This will be available only when the subgraph is interrupted. Once you resume the graph, you won't be able to access the subgraph state.
:::
:::js
```typescript
import { StateGraph, START, MemorySaver, interrupt, Command } from "@langchain/langgraph";
import { z } from "zod";
const State = z.object({
foo: z.string(),
});
// Subgraph
const subgraphBuilder = new StateGraph(State)
.addNode("subgraphNode1", (state) => {
const value = interrupt("Provide value:");
return { foo: state.foo + value };
})
.addEdge(START, "subgraphNode1");
const subgraph = subgraphBuilder.compile();
// Parent graph
const builder = new StateGraph(State)
.addNode("node1", subgraph)
.addEdge(START, "node1");
const checkpointer = new MemorySaver();
const graph = builder.compile({ checkpointer });
const config = { configurable: { thread_id: "1" } };
await graph.invoke({ foo: "" }, config);
const parentState = await graph.getState(config);
const subgraphState = (await graph.getState(config, { subgraphs: true })).tasks[0].state; // (1)!
// resume the subgraph
await graph.invoke(new Command({ resume: "bar" }), config);
```
2. This will be available only when the subgraph is interrupted. Once you resume the graph, you won't be able to access the subgraph state.
:::
## Stream subgraph outputs
To include outputs from subgraphs in the streamed outputs, you can set `subgraphs=True` in the `.stream()` method of the parent graph. This will stream outputs from both the parent graph and any subgraphs.
To include outputs from subgraphs in the streamed outputs, you can set the subgraphs option in the stream method of the parent graph. This will stream outputs from both the parent graph and any subgraphs.
:::python
```python
for chunk in graph.stream(
{"foo": "foo"},
@@ -394,9 +771,27 @@ for chunk in graph.stream(
```
1. Set `subgraphs=True` to stream outputs from subgraphs.
:::
:::js
```typescript
for await (const chunk of await graph.stream(
{ foo: "foo" },
{
subgraphs: true, // (1)!
streamMode: "updates",
}
)) {
console.log(chunk);
}
```
1. Set `subgraphs: true` to stream outputs from subgraphs.
:::
??? example "Stream from subgraphs"
:::python
```python
from typing_extensions import TypedDict
from langgraph.graph.state import StateGraph, START
@@ -450,4 +845,66 @@ for chunk in graph.stream(
(('node_2:e58e5673-a661-ebb0-70d4-e298a7fc28b7',), {'subgraph_node_1': {'bar': 'bar'}})
(('node_2:e58e5673-a661-ebb0-70d4-e298a7fc28b7',), {'subgraph_node_2': {'foo': 'hi! foobar'}})
((), {'node_2': {'foo': 'hi! foobar'}})
```
:::
:::js
```typescript
import { StateGraph, START } from "@langchain/langgraph";
import { z } from "zod";
// Define subgraph
const SubgraphState = z.object({
foo: z.string(),
bar: z.string(),
});
const subgraphBuilder = new StateGraph(SubgraphState)
.addNode("subgraphNode1", (state) => {
return { bar: "bar" };
})
.addNode("subgraphNode2", (state) => {
// note that this node is using a state key ('bar') that is only available in the subgraph
// and is sending update on the shared state key ('foo')
return { foo: state.foo + state.bar };
})
.addEdge(START, "subgraphNode1")
.addEdge("subgraphNode1", "subgraphNode2");
const subgraph = subgraphBuilder.compile();
// Define parent graph
const ParentState = z.object({
foo: z.string(),
});
const builder = new StateGraph(ParentState)
.addNode("node1", (state) => {
return { foo: "hi! " + state.foo };
})
.addNode("node2", subgraph)
.addEdge(START, "node1")
.addEdge("node1", "node2");
const graph = builder.compile();
for await (const chunk of await graph.stream(
{ foo: "foo" },
{
streamMode: "updates",
subgraphs: true, // (1)!
}
)) {
console.log(chunk);
}
```
2. Set `subgraphs: true` to stream outputs from subgraphs.
```
[[], { node1: { foo: 'hi! foo' } }]
[['node2:e58e5673-a661-ebb0-70d4-e298a7fc28b7'], { subgraphNode1: { bar: 'bar' } }]
[['node2:e58e5673-a661-ebb0-70d4-e298a7fc28b7'], { subgraphNode2: { foo: 'hi! foobar' } }]
[[], { node2: { foo: 'hi! foobar' } }]
```
:::
+1 -1
View File
@@ -360,5 +360,5 @@ j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=
{% endblock %}
{% block announce %}
<strong>LangGraph Platform docs have moved!</strong> Find the LangGraph Platform docs at the new <a href="https://docs.langchain.com/langgraph-platform" target="_blank">LangChain Docs</a> site.
Our new LangChain Academy Course Deep Research with LangGraph is now live! <a href="https://academy.langchain.com/courses/deep-research-with-langgraph/?utm_medium=internal&utm_source=docs&utm_campaign=q3-2025_deep-research-course_co" target="_blank">Enroll for free</a>.
{% endblock %}
+1
View File
@@ -329,6 +329,7 @@ dev = [
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
]
+1
View File
@@ -341,6 +341,7 @@ dev = [
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
]
+144
View File
@@ -0,0 +1,144 @@
from __future__ import annotations
from collections.abc import Mapping, Sequence
from typing import Any
from langgraph.cache.base import BaseCache, FullKey, Namespace, ValueT
from langgraph.checkpoint.serde.base import SerializerProtocol
class RedisCache(BaseCache[ValueT]):
"""Redis-based cache implementation with TTL support."""
def __init__(
self,
redis: Any,
*,
serde: SerializerProtocol | None = None,
prefix: str = "langgraph:cache:",
) -> None:
"""Initialize the cache with a Redis client.
Args:
redis: Redis client instance (sync or async)
serde: Serializer to use for values
prefix: Key prefix for all cached values
"""
super().__init__(serde=serde)
self.redis = redis
self.prefix = prefix
def _make_key(self, ns: Namespace, key: str) -> str:
"""Create a Redis key from namespace and key."""
ns_str = ":".join(ns) if ns else ""
return f"{self.prefix}{ns_str}:{key}" if ns_str else f"{self.prefix}{key}"
def _parse_key(self, redis_key: str) -> tuple[Namespace, str]:
"""Parse a Redis key back to namespace and key."""
if not redis_key.startswith(self.prefix):
raise ValueError(
f"Key {redis_key} does not start with prefix {self.prefix}"
)
remaining = redis_key[len(self.prefix) :]
if ":" in remaining:
parts = remaining.split(":")
key = parts[-1]
ns_parts = parts[:-1]
return (tuple(ns_parts), key)
else:
return (tuple(), remaining)
def get(self, keys: Sequence[FullKey]) -> dict[FullKey, ValueT]:
"""Get the cached values for the given keys."""
if not keys:
return {}
# Build Redis keys
redis_keys = [self._make_key(ns, key) for ns, key in keys]
# Get values from Redis using MGET
try:
raw_values = self.redis.mget(redis_keys)
except Exception:
# If Redis is unavailable, return empty dict
return {}
values: dict[FullKey, ValueT] = {}
for i, raw_value in enumerate(raw_values):
if raw_value is not None:
try:
# Deserialize the value
encoding, data = raw_value.split(b":", 1)
values[keys[i]] = self.serde.loads_typed((encoding.decode(), data))
except Exception:
# Skip corrupted entries
continue
return values
async def aget(self, keys: Sequence[FullKey]) -> dict[FullKey, ValueT]:
"""Asynchronously get the cached values for the given keys."""
return self.get(keys)
def set(self, mapping: Mapping[FullKey, tuple[ValueT, int | None]]) -> None:
"""Set the cached values for the given keys and TTLs."""
if not mapping:
return
# Use pipeline for efficient batch operations
pipe = self.redis.pipeline()
for (ns, key), (value, ttl) in mapping.items():
redis_key = self._make_key(ns, key)
encoding, data = self.serde.dumps_typed(value)
# Store as "encoding:data" format
serialized_value = f"{encoding}:".encode() + data
if ttl is not None:
pipe.setex(redis_key, ttl, serialized_value)
else:
pipe.set(redis_key, serialized_value)
try:
pipe.execute()
except Exception:
# Silently fail if Redis is unavailable
pass
async def aset(self, mapping: Mapping[FullKey, tuple[ValueT, int | None]]) -> None:
"""Asynchronously set the cached values for the given keys and TTLs."""
self.set(mapping)
def clear(self, namespaces: Sequence[Namespace] | None = None) -> None:
"""Delete the cached values for the given namespaces.
If no namespaces are provided, clear all cached values."""
try:
if namespaces is None:
# Clear all keys with our prefix
pattern = f"{self.prefix}*"
keys = self.redis.keys(pattern)
if keys:
self.redis.delete(*keys)
else:
# Clear specific namespaces
keys_to_delete = []
for ns in namespaces:
ns_str = ":".join(ns) if ns else ""
pattern = (
f"{self.prefix}{ns_str}:*" if ns_str else f"{self.prefix}*"
)
keys = self.redis.keys(pattern)
keys_to_delete.extend(keys)
if keys_to_delete:
self.redis.delete(*keys_to_delete)
except Exception:
# Silently fail if Redis is unavailable
pass
async def aclear(self, namespaces: Sequence[Namespace] | None = None) -> None:
"""Asynchronously delete the cached values for the given namespaces.
If no namespaces are provided, clear all cached values."""
self.clear(namespaces)
@@ -81,6 +81,9 @@ class Checkpoint(TypedDict):
This keeps track of the versions of the channels that each node has seen.
Used to determine which nodes to execute next.
"""
updated_channels: list[str] | None
"""The channels that were updated in this checkpoint.
"""
def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
@@ -92,6 +95,7 @@ def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
channel_versions=checkpoint["channel_versions"].copy(),
versions_seen={k: v.copy() for k, v in checkpoint["versions_seen"].items()},
pending_sends=checkpoint.get("pending_sends", []).copy(),
updated_channels=checkpoint.get("updated_channels", None),
)
@@ -437,6 +441,7 @@ def empty_checkpoint() -> Checkpoint:
channel_versions={},
versions_seen={},
pending_sends=[],
updated_channels=None,
)
@@ -470,4 +475,5 @@ def create_checkpoint(
channel_versions=checkpoint["channel_versions"],
versions_seen=checkpoint["versions_seen"],
pending_sends=checkpoint.get("pending_sends", []),
updated_channels=None,
)
+14 -7
View File
@@ -64,14 +64,21 @@ class AsyncBatchedBaseStore(BaseStore):
super().__init__()
self._loop = asyncio.get_running_loop()
self._aqueue: asyncio.Queue[tuple[asyncio.Future, Op]] = asyncio.Queue()
self._task = self._loop.create_task(_run(self._aqueue, weakref.ref(self)))
self._task: asyncio.Task | None = None
self._ensure_task()
def __del__(self) -> None:
try:
self._task.cancel()
if self._task:
self._task.cancel()
except RuntimeError:
pass
def _ensure_task(self) -> None:
"""Ensure the background processing loop is running."""
if self._task is None or self._task.done():
self._task = self._loop.create_task(_run(self._aqueue, weakref.ref(self)))
async def aget(
self,
namespace: tuple[str, ...],
@@ -79,7 +86,7 @@ class AsyncBatchedBaseStore(BaseStore):
*,
refresh_ttl: bool | None = None,
) -> Item | None:
assert not self._task.done()
self._ensure_task()
fut = self._loop.create_future()
self._aqueue.put_nowait(
(
@@ -104,7 +111,7 @@ class AsyncBatchedBaseStore(BaseStore):
offset: int = 0,
refresh_ttl: bool | None = None,
) -> list[SearchItem]:
assert not self._task.done()
self._ensure_task()
fut = self._loop.create_future()
self._aqueue.put_nowait(
(
@@ -130,7 +137,7 @@ class AsyncBatchedBaseStore(BaseStore):
*,
ttl: float | None | NotProvided = NOT_PROVIDED,
) -> None:
assert not self._task.done()
self._ensure_task()
_validate_namespace(namespace)
fut = self._loop.create_future()
self._aqueue.put_nowait(
@@ -148,7 +155,7 @@ class AsyncBatchedBaseStore(BaseStore):
namespace: tuple[str, ...],
key: str,
) -> None:
assert not self._task.done()
self._ensure_task()
fut = self._loop.create_future()
self._aqueue.put_nowait((fut, PutOp(namespace, key, None)))
return await fut
@@ -162,7 +169,7 @@ class AsyncBatchedBaseStore(BaseStore):
limit: int = 100,
offset: int = 0,
) -> list[tuple[str, ...]]:
assert not self._task.done()
self._ensure_task()
fut = self._loop.create_future()
match_conditions = []
if prefix:
+1
View File
@@ -32,6 +32,7 @@ dev = [
"numpy",
"pandas",
"pandas-stubs>=2.2.2.240807",
"redis",
]
[tool.hatch.build.targets.wheel]
+309
View File
@@ -0,0 +1,309 @@
"""Unit tests for Redis cache implementation."""
import time
import pytest
import redis
from langgraph.cache.redis import RedisCache
class TestRedisCache:
@pytest.fixture(autouse=True)
def setup(self):
"""Set up test Redis client and cache."""
self.client = redis.Redis(
host="localhost", port=6379, db=0, decode_responses=False
)
try:
self.client.ping()
except redis.ConnectionError:
pytest.skip("Redis server not available")
self.cache = RedisCache(self.client, prefix="test:cache:")
# Clean up before each test
self.client.flushdb()
def teardown_method(self):
"""Clean up after each test."""
try:
self.client.flushdb()
except Exception:
pass
def test_basic_set_and_get(self):
"""Test basic set and get operations."""
keys = [(("graph", "node"), "key1")]
values = {keys[0]: ({"result": 42}, None)}
# Set value
self.cache.set(values)
# Get value
result = self.cache.get(keys)
assert len(result) == 1
assert result[keys[0]] == {"result": 42}
def test_batch_operations(self):
"""Test batch set and get operations."""
keys = [
(("graph", "node1"), "key1"),
(("graph", "node2"), "key2"),
(("other", "node"), "key3"),
]
values = {
keys[0]: ({"result": 1}, None),
keys[1]: ({"result": 2}, 60), # With TTL
keys[2]: ({"result": 3}, None),
}
# Set values
self.cache.set(values)
# Get all values
result = self.cache.get(keys)
assert len(result) == 3
assert result[keys[0]] == {"result": 1}
assert result[keys[1]] == {"result": 2}
assert result[keys[2]] == {"result": 3}
def test_ttl_behavior(self):
"""Test TTL (time-to-live) functionality."""
key = (("graph", "node"), "ttl_key")
values = {key: ({"data": "expires_soon"}, 1)} # 1 second TTL
# Set with TTL
self.cache.set(values)
# Should be available immediately
result = self.cache.get([key])
assert len(result) == 1
assert result[key] == {"data": "expires_soon"}
# Wait for expiration
time.sleep(1.1)
# Should be expired
result = self.cache.get([key])
assert len(result) == 0
def test_namespace_isolation(self):
"""Test that different namespaces are isolated."""
key1 = (("graph1", "node"), "same_key")
key2 = (("graph2", "node"), "same_key")
values = {key1: ({"graph": 1}, None), key2: ({"graph": 2}, None)}
self.cache.set(values)
result = self.cache.get([key1, key2])
assert result[key1] == {"graph": 1}
assert result[key2] == {"graph": 2}
def test_clear_all(self):
"""Test clearing all cached values."""
keys = [(("graph", "node1"), "key1"), (("graph", "node2"), "key2")]
values = {keys[0]: ({"result": 1}, None), keys[1]: ({"result": 2}, None)}
self.cache.set(values)
# Verify data exists
result = self.cache.get(keys)
assert len(result) == 2
# Clear all
self.cache.clear()
# Verify data is gone
result = self.cache.get(keys)
assert len(result) == 0
def test_clear_by_namespace(self):
"""Test clearing cached values by namespace."""
keys = [
(("graph1", "node"), "key1"),
(("graph2", "node"), "key2"),
(("graph1", "other"), "key3"),
]
values = {
keys[0]: ({"result": 1}, None),
keys[1]: ({"result": 2}, None),
keys[2]: ({"result": 3}, None),
}
self.cache.set(values)
# Clear only graph1 namespace
self.cache.clear([("graph1", "node"), ("graph1", "other")])
# graph1 should be cleared, graph2 should remain
result = self.cache.get(keys)
assert len(result) == 1
assert result[keys[1]] == {"result": 2}
def test_empty_operations(self):
"""Test behavior with empty keys/values."""
# Empty get
result = self.cache.get([])
assert result == {}
# Empty set
self.cache.set({}) # Should not raise error
def test_nonexistent_keys(self):
"""Test getting keys that don't exist."""
keys = [(("graph", "node"), "nonexistent")]
result = self.cache.get(keys)
assert len(result) == 0
@pytest.mark.asyncio
async def test_async_operations(self):
"""Test async set and get operations with sync Redis client."""
# Create sync Redis client and cache (like main integration tests)
client = redis.Redis(host="localhost", port=6379, db=1, decode_responses=False)
try:
client.ping()
except Exception:
pytest.skip("Redis not available")
cache = RedisCache(client, prefix="test:async:")
keys = [(("graph", "node"), "async_key")]
values = {keys[0]: ({"async": True}, None)}
# Async set (delegates to sync)
await cache.aset(values)
# Async get (delegates to sync)
result = await cache.aget(keys)
assert len(result) == 1
assert result[keys[0]] == {"async": True}
# Cleanup
client.flushdb()
@pytest.mark.asyncio
async def test_async_clear(self):
"""Test async clear operations with sync Redis client."""
# Create sync Redis client and cache (like main integration tests)
client = redis.Redis(host="localhost", port=6379, db=1, decode_responses=False)
try:
client.ping()
except Exception:
pytest.skip("Redis not available")
cache = RedisCache(client, prefix="test:async:")
keys = [(("graph", "node"), "key")]
values = {keys[0]: ({"data": "test"}, None)}
await cache.aset(values)
# Verify data exists
result = await cache.aget(keys)
assert len(result) == 1
# Clear all (delegates to sync)
await cache.aclear()
# Verify data is gone
result = await cache.aget(keys)
assert len(result) == 0
# Cleanup
client.flushdb()
def test_redis_unavailable_get(self):
"""Test behavior when Redis is unavailable during get operations."""
# Create cache with non-existent Redis server
bad_client = redis.Redis(
host="nonexistent", port=9999, socket_connect_timeout=0.1
)
cache = RedisCache(bad_client, prefix="test:cache:")
keys = [(("graph", "node"), "key")]
result = cache.get(keys)
# Should return empty dict when Redis unavailable
assert result == {}
def test_redis_unavailable_set(self):
"""Test behavior when Redis is unavailable during set operations."""
# Create cache with non-existent Redis server
bad_client = redis.Redis(
host="nonexistent", port=9999, socket_connect_timeout=0.1
)
cache = RedisCache(bad_client, prefix="test:cache:")
keys = [(("graph", "node"), "key")]
values = {keys[0]: ({"data": "test"}, None)}
# Should not raise exception when Redis unavailable
cache.set(values) # Should silently fail
@pytest.mark.asyncio
async def test_redis_unavailable_async(self):
"""Test async behavior when Redis is unavailable."""
# Create sync cache with non-existent Redis server (like main integration tests)
bad_client = redis.Redis(
host="nonexistent", port=9999, socket_connect_timeout=0.1
)
cache = RedisCache(bad_client, prefix="test:cache:")
keys = [(("graph", "node"), "key")]
values = {keys[0]: ({"data": "test"}, None)}
# Should return empty dict for get (delegates to sync)
result = await cache.aget(keys)
assert result == {}
# Should not raise exception for set (delegates to sync)
await cache.aset(values) # Should silently fail
def test_corrupted_data_handling(self):
"""Test handling of corrupted data in Redis."""
# Set some valid data first
keys = [(("graph", "node"), "valid_key")]
values = {keys[0]: ({"data": "valid"}, None)}
self.cache.set(values)
# Manually insert corrupted data
corrupted_key = self.cache._make_key(("graph", "node"), "corrupted_key")
self.client.set(corrupted_key, b"invalid:data:format:too:many:colons")
# Should skip corrupted entry and return only valid ones
all_keys = [keys[0], (("graph", "node"), "corrupted_key")]
result = self.cache.get(all_keys)
assert len(result) == 1
assert result[keys[0]] == {"data": "valid"}
def test_key_parsing_edge_cases(self):
"""Test key parsing with edge cases."""
# Test empty namespace
key1 = ((), "empty_ns")
values = {key1: ({"data": "empty_ns"}, None)}
self.cache.set(values)
result = self.cache.get([key1])
assert result[key1] == {"data": "empty_ns"}
# Test namespace with special characters
key2 = (("graph:with:colons", "node-with-dashes"), "key_with_underscores")
values = {key2: ({"data": "special_chars"}, None)}
self.cache.set(values)
result = self.cache.get([key2])
assert result[key2] == {"data": "special_chars"}
def test_large_data_serialization(self):
"""Test handling of large data objects."""
# Create a large data structure
large_data = {"large_list": list(range(1000)), "nested": {"data": "x" * 1000}}
key = (("graph", "node"), "large_key")
values = {key: (large_data, None)}
self.cache.set(values)
result = self.cache.get([key])
assert len(result) == 1
assert result[key] == large_data
+36
View File
@@ -34,6 +34,42 @@ class MockAsyncBatchedStore(AsyncBatchedBaseStore):
return self._store.batch(ops)
async def test_async_batch_store_resilience() -> None:
"""Test that AsyncBatchedBaseStore recovers gracefully from task cancellation."""
doc = {"foo": "bar"}
async_store = MockAsyncBatchedStore()
await async_store.aput(("foo", "langgraph", "foo"), "bar", doc)
# Store the original task reference
original_task = async_store._task
assert original_task is not None
assert not original_task.done()
# Cancel the background task
original_task.cancel()
await asyncio.sleep(0.01)
assert original_task.cancelled()
# Perform a new operation - this should trigger _ensure_task() to create a new task
result = await async_store.asearch(("foo", "langgraph", "foo"))
assert len(result) > 0
assert result[0].value == doc
# Verify a new task was created
new_task = async_store._task
assert new_task is not None
assert new_task is not original_task
assert not new_task.done()
# Test that operations continue to work with the new task
doc2 = {"baz": "qux"}
await async_store.aput(("test", "namespace"), "key", doc2)
result2 = await async_store.aget(("test", "namespace"), "key")
assert result2 is not None
assert result2.value == doc2
def test_get_text_at_path() -> None:
nested_data = {
"name": "test",
+23
View File
@@ -32,6 +32,15 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c", size = 100916, upload-time = "2025-03-17T00:02:52.713Z" },
]
[[package]]
name = "async-timeout"
version = "5.0.1"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/a5/ae/136395dfbfe00dfc94da3f3e136d0b13f394cba8f4841120e34226265780/async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3", size = 9274, upload-time = "2024-11-06T16:41:39.6Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/fe/ba/e2081de779ca30d473f21f5b30e0e737c438205440784c7dfc81efc2b029/async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c", size = 6233, upload-time = "2024-11-06T16:41:37.9Z" },
]
[[package]]
name = "certifi"
version = "2025.7.9"
@@ -345,6 +354,7 @@ dev = [
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
]
@@ -366,6 +376,7 @@ dev = [
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
]
@@ -1153,6 +1164,18 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/19/87/5124b1c1f2412bb95c59ec481eaf936cd32f0fe2a7b16b97b81c4c017a6a/PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8", size = 162312, upload-time = "2024-08-06T20:33:49.073Z" },
]
[[package]]
name = "redis"
version = "6.3.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "async-timeout", marker = "python_full_version < '3.11.3'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/21/cd/030274634a1a052b708756016283ea3d84e91ae45f74d7f5dcf55d753a0f/redis-6.3.0.tar.gz", hash = "sha256:3000dbe532babfb0999cdab7b3e5744bcb23e51923febcfaeb52c8cfb29632ef", size = 4647275, upload-time = "2025-08-05T08:12:31.648Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/df/a7/2fe45801534a187543fc45d28b3844d84559c1589255bc2ece30d92dc205/redis-6.3.0-py3-none-any.whl", hash = "sha256:92f079d656ded871535e099080f70fab8e75273c0236797126ac60242d638e9b", size = 280018, upload-time = "2025-08-05T08:12:30.093Z" },
]
[[package]]
name = "requests"
version = "2.32.4"
+2 -1
View File
@@ -4,8 +4,9 @@
# TESTING AND COVERAGE
######################
TEST?= "tests/unit_tests"
test:
uv run pytest tests/unit_tests
uv run pytest $(TEST)
test-integration:
uv run pytest tests/integration_tests
-7
View File
@@ -1,10 +1,3 @@
OPENAI_API_KEY=placeholder
ANTHROPIC_API_KEY=placeholder
TAVILY_API_KEY=placeholder
LANGCHAIN_TRACING_V2=false
LANGCHAIN_ENDPOINT=placeholder
LANGCHAIN_API_KEY=placeholder
LANGCHAIN_PROJECT=placeholder
LANGGRAPH_AUTH_TYPE=noop
LANGSMITH_AUTH_ENDPOINT=placeholder
LANGSMITH_TENANT_ID=placeholder
@@ -0,0 +1,95 @@
from collections.abc import Sequence
from typing import Annotated, Literal, TypedDict
from langchain.chat_models import init_chat_model
from langchain_community.tools.tavily_search import TavilySearchResults
from langchain_core.messages import BaseMessage
from langchain_openai import ChatOpenAI
from langgraph.graph import END, StateGraph, add_messages
from langgraph.prebuilt import ToolNode
tools = [TavilySearchResults(max_results=1)]
model_anth = init_chat_model("claude-3-7-sonnet-20250219", model_provider="anthropic")
model_oai = ChatOpenAI(temperature=0)
model_anth = model_anth.bind_tools(tools)
model_oai = model_oai.bind_tools(tools)
class AgentState(TypedDict):
messages: Annotated[Sequence[BaseMessage], add_messages]
# Define the function that determines whether to continue or not
def should_continue(state):
messages = state["messages"]
last_message = messages[-1]
# If there are no tool calls, then we finish
if not last_message.tool_calls:
return "end"
# Otherwise if there is, we continue
else:
return "continue"
# Define the function that calls the model
def call_model(state, config):
if config["configurable"].get("model", "anthropic") == "anthropic":
model = model_anth
else:
model = model_oai
messages = state["messages"]
response = model.invoke(messages)
# We return a list, because this will get added to the existing list
return {"messages": [response]}
# Define the function to execute tools
tool_node = ToolNode(tools)
class ContextSchema(TypedDict):
model: Literal["anthropic", "openai"]
# Define a new graph
workflow = StateGraph(AgentState, context_schema=ContextSchema)
# Define the two nodes we will cycle between
workflow.add_node("agent", call_model)
workflow.add_node("action", tool_node)
# Set the entrypoint as `agent`
# This means that this node is the first one called
workflow.set_entry_point("agent")
# We now add a conditional edge
workflow.add_conditional_edges(
# First, we define the start node. We use `agent`.
# This means these are the edges taken after the `agent` node is called.
"agent",
# Next, we pass in the function that will determine which node is called next.
should_continue,
# Finally we pass in a mapping.
# The keys are strings, and the values are other nodes.
# END is a special node marking that the graph should finish.
# What will happen is we will call `should_continue`, and then the output of that
# will be matched against the keys in this mapping.
# Based on which one it matches, that node will then be called.
{
# If `tools`, then we call the tool node.
"continue": "action",
# Otherwise we finish.
"end": END,
},
)
# We now add a normal edge from `tools` to `agent`.
# This means that after `tools` is called, `agent` node is called next.
workflow.add_edge("action", "agent")
# Finally, we compile it!
# This compiles it into a LangChain Runnable,
# meaning you can use it as you would any other runnable
graph = workflow.compile()
@@ -0,0 +1,11 @@
{
"python_version": "3.12",
"dependencies": [
"."
],
"graphs": {
"agent": "./agent.py:graph"
},
"env": "../.env"
}
@@ -0,0 +1,6 @@
requests
langchain_anthropic
langchain_openai
langchain_community
langchain
langgraph==1.0.0a2
+1 -8
View File
@@ -163,14 +163,7 @@ def generate_schema():
# Add enum constraint for python_version
if "python_version" in python_schema["properties"]:
python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12"]
# Add enum constraint for image_distro
if "image_distro" in python_schema["properties"]:
python_schema["properties"]["image_distro"]["anyOf"] = [
{"type": "string", "enum": ["debian", "wolfi"]},
{"type": "null"},
]
python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12", "3.13"]
# Create Node.js schema with node_version
node_schema = {
@@ -0,0 +1,62 @@
module.exports = {
extends: [
"eslint:recommended",
"prettier",
"plugin:@typescript-eslint/recommended",
],
parserOptions: {
ecmaVersion: 12,
parser: "@typescript-eslint/parser",
project: "./tsconfig.json",
sourceType: "module",
},
plugins: ["import", "@typescript-eslint", "no-instanceof"],
ignorePatterns: [
".eslintrc.cjs",
"scripts",
"src/utils/lodash/*",
"node_modules",
"dist",
"dist-cjs",
"*.js",
"*.cjs",
"*.d.ts",
],
rules: {
"no-process-env": 2,
"no-instanceof/no-instanceof": 2,
"@typescript-eslint/explicit-module-boundary-types": 0,
"@typescript-eslint/no-empty-function": 0,
"@typescript-eslint/no-shadow": 0,
"@typescript-eslint/no-empty-interface": 0,
"@typescript-eslint/no-use-before-define": ["error", "nofunc"],
"@typescript-eslint/no-unused-vars": ["warn", { args: "none" }],
"@typescript-eslint/no-floating-promises": "error",
"@typescript-eslint/no-misused-promises": "error",
camelcase: 0,
"class-methods-use-this": 0,
"import/extensions": [2, "ignorePackages"],
"import/no-extraneous-dependencies": [
"error",
{ devDependencies: ["**/*.test.ts"] },
],
"import/no-unresolved": 0,
"import/prefer-default-export": 0,
"keyword-spacing": "error",
"max-classes-per-file": 0,
"max-len": 0,
"no-await-in-loop": 0,
"no-bitwise": 0,
"no-console": 0,
"no-restricted-syntax": 0,
"no-shadow": 0,
"no-continue": 0,
"no-underscore-dangle": 0,
"no-use-before-define": 0,
"no-useless-constructor": 0,
"no-return-await": 0,
"consistent-return": 0,
"no-else-return": 0,
"new-cap": ["error", { properties: false, capIsNew: false }],
},
};
@@ -0,0 +1,7 @@
{
"node_version": "20",
"graphs": {
"agent": "./src/graph.ts:graph"
},
"env": "../../.env"
}
@@ -0,0 +1,18 @@
{
"name": "@js-monorepo-example/agent",
"version": "0.0.1",
"type": "module",
"main": "src/graph.ts",
"scripts": {
"build": "tsc",
"clean": "rm -rf dist"
},
"dependencies": {
"@js-monorepo-example/shared": "*",
"@langchain/core": "^0.3.2",
"@langchain/langgraph": "^0.2.5"
},
"devDependencies": {
"typescript": "^5.3.3"
}
}
@@ -0,0 +1,47 @@
/**
* Simple LangGraph.js example for monorepo testing
*/
import { StateGraph } from "@langchain/langgraph";
import { RunnableConfig } from "@langchain/core/runnables";
import { StateAnnotation } from "./state.js";
import { getGreeting } from "@js-monorepo-example/shared";
/**
* Simple node that uses the shared library
*/
const callModel = async (
state: typeof StateAnnotation.State,
_config: RunnableConfig,
): Promise<typeof StateAnnotation.Update> => {
// Use functions from the shared library
const greeting = getGreeting();
return {
messages: [
{
role: "assistant",
content: `${greeting}`,
},
],
};
};
/**
* Simple routing function
*/
export const route = (
state: typeof StateAnnotation.State,
): "__end__" | "callModel" => {
if (state.messages.length > 0) {
return "__end__";
}
return "callModel";
};
// Create the graph
const builder = new StateGraph(StateAnnotation)
.addNode("callModel", callModel)
.addEdge("__start__", "callModel")
.addConditionalEdges("callModel", route);
export const graph = builder.compile();
@@ -0,0 +1,15 @@
import { BaseMessage, BaseMessageLike } from "@langchain/core/messages";
import { Annotation, messagesStateReducer } from "@langchain/langgraph";
/**
* Simple state annotation for the agent
*/
export const StateAnnotation = Annotation.Root({
/**
* Messages track the primary execution state of the agent.
*/
messages: Annotation<BaseMessage[], BaseMessageLike[]>({
reducer: messagesStateReducer,
default: () => [],
}),
});
@@ -0,0 +1,9 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "./src"
},
"include": ["src/**/*"],
"exclude": ["node_modules", "dist"]
}
@@ -0,0 +1,14 @@
{
"name": "@js-monorepo-example/shared",
"version": "0.0.1",
"type": "module",
"main": "dist/index.js",
"types": "dist/index.d.ts",
"scripts": {
"build": "tsc",
"clean": "rm -rf dist"
},
"devDependencies": {
"typescript": "^5.3.3"
}
}
@@ -0,0 +1,6 @@
/**
* Simple utility functions for monorepo testing
*/
export function getGreeting(): string {
return "Hello from shared library!";
}
@@ -0,0 +1,9 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "./src"
},
"include": ["src/**/*"],
"exclude": ["node_modules", "dist"]
}
+34
View File
@@ -0,0 +1,34 @@
{
"name": "js-monorepo-example",
"version": "0.0.1",
"packageManager": "yarn@1.22.22",
"description": "A simple monorepo example for LangGraph integration testing.",
"private": true,
"workspaces": [
"libs/*",
"apps/*"
],
"type": "module",
"scripts": {
"build": "turbo build",
"clean": "turbo clean",
"test": "turbo test",
"format": "prettier --write .",
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
},
"devDependencies": {
"turbo": "^2.5.0",
"typescript": "^5.3.3",
"@tsconfig/recommended": "^1.0.7",
"@eslint/eslintrc": "^3.1.0",
"@eslint/js": "^9.9.1",
"eslint": "^8.41.0",
"eslint-config-prettier": "^8.8.0",
"eslint-plugin-import": "^2.27.5",
"eslint-plugin-no-instanceof": "^1.0.1",
"eslint-plugin-prettier": "^4.2.1",
"@typescript-eslint/eslint-plugin": "^5.59.8",
"@typescript-eslint/parser": "^5.59.8",
"prettier": "^3.3.3"
}
}
@@ -0,0 +1,16 @@
{
"extends": "@tsconfig/recommended",
"compilerOptions": {
"target": "ES2022",
"module": "ESNext",
"moduleResolution": "node",
"allowSyntheticDefaultImports": true,
"esModuleInterop": true,
"skipLibCheck": true,
"strict": true,
"declaration": true,
"outDir": "./dist"
},
"include": ["apps/**/*", "libs/**/*"],
"exclude": ["node_modules", "dist"]
}
+15
View File
@@ -0,0 +1,15 @@
{
"$schema": "https://turbo.build/schema.json",
"tasks": {
"build": {
"dependsOn": ["^build"],
"outputs": ["dist/**"]
},
"clean": {
"dependsOn": ["^clean"]
},
"test": {
"dependsOn": ["^test"]
}
}
}
File diff suppressed because it is too large Load Diff
+1
View File
@@ -0,0 +1 @@
__version__ = "0.4.2"
+33 -3
View File
@@ -303,6 +303,8 @@ def _build(
pull: bool,
tag: str,
passthrough: Sequence[str] = (),
install_command: Optional[str] = None,
build_command: Optional[str] = None,
):
# pull latest images
if pull:
@@ -322,22 +324,38 @@ def _build(
"-t",
tag,
]
# determine build context: use current directory for JS projects, config parent for Python
is_js_project = config_json.get("node_version") and not config_json.get(
"python_version"
)
# build/install commands only apply to JS projects for now
# without install/build command, JS projects will follow the old behavior
if is_js_project and (build_command or install_command):
build_context = str(pathlib.Path.cwd())
else:
build_context = str(config.parent)
# apply config
stdin, additional_contexts = langgraph_cli.config.config_to_docker(
config, config_json, base_image, api_version
config,
config_json,
base_image,
api_version,
install_command,
build_command,
build_context,
)
# add additional_contexts
if additional_contexts:
for k, v in additional_contexts.items():
args.extend(["--build-context", f"{k}={v}"])
# run docker build
runner.run(
subp_exec(
"docker",
"build",
*args,
*passthrough,
str(config.parent),
build_context,
input=stdin,
verbose=True,
)
@@ -366,6 +384,14 @@ def _build(
"\n --base-image langchain/langgraph-server:0.2 # Pin to a minor version (Python)",
)
@OPT_API_VERSION
@click.option(
"--install-command",
help="Custom install command to run from the build context root. If not provided, auto-detects based on package manager files.",
)
@click.option(
"--build-command",
help="Custom build command to run from the langgraph.json directory. If not provided, uses default build process.",
)
@click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
@cli.command(
help="📦 Build LangGraph API server Docker image.",
@@ -381,6 +407,8 @@ def build(
api_version: Optional[str],
pull: bool,
tag: str,
install_command: Optional[str],
build_command: Optional[str],
):
with Runner() as runner, Progress(message="Pulling...") as set:
if shutil.which("docker") is None:
@@ -397,6 +425,8 @@ def build(
pull,
tag,
docker_build_args,
install_command,
build_command,
)
+114 -22
View File
@@ -17,6 +17,9 @@ DEFAULT_PYTHON_VERSION = "3.11"
DEFAULT_IMAGE_DISTRO = "debian"
Distros = Literal["debian", "wolfi", "bullseye", "bookworm"]
class TTLConfig(TypedDict, total=False):
"""Configuration for TTL (time-to-live) behavior in the store."""
@@ -354,6 +357,8 @@ class HttpConfig(TypedDict, total=False):
You can include or exclude headers as configurable values to condition your
agent's behavior or permissions on a request's headers."""
logging_headers: Optional[ConfigurableHeaderConfig]
"""Optional. Defines which headers are excluded from logging."""
class Config(TypedDict, total=False):
@@ -369,6 +374,13 @@ class Config(TypedDict, total=False):
Must be >= 20 if provided.
"""
api_version: Optional[str]
"""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."""
_INTERNAL_docker_tag: Optional[str]
"""Optional. Internal use only.
"""
@@ -378,10 +390,11 @@ class Config(TypedDict, total=False):
Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
image_distro: Optional[str]
image_distro: Optional[Distros]
"""Optional. Linux distribution for the base image.
Must be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.
Must be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.
If omitted, defaults to 'debian' ('latest').
"""
pip_config_file: Optional[str]
@@ -587,13 +600,28 @@ 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")
if internal_docker_tag:
if api_version:
raise click.UsageError(
"Cannot specify both _INTERNAL_docker_tag and api_version."
)
if api_version:
try:
parts = tuple(map(int, api_version.split("-")[0].split(".")))
if len(parts) > 3:
raise ValueError(
"Version must be major or major.minor or major.minor.patch."
)
except TypeError:
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"),
"_INTERNAL_docker_tag": config.get("_INTERNAL_docker_tag"),
"base_image": config.get("base_image"),
"image_distro": image_distro,
"dependencies": config.get("dependencies", []),
@@ -608,6 +636,10 @@ def validate_config(config: Config) -> Config:
"ui_config": config.get("ui_config"),
"keep_pkg_tools": config.get("keep_pkg_tools"),
}
if internal_docker_tag:
config["_INTERNAL_docker_tag"] = internal_docker_tag
if api_version:
config["api_version"] = api_version
if config.get("node_version"):
node_version = config["node_version"]
@@ -644,17 +676,17 @@ def validate_config(config: Config) -> Config:
"Add at least one dependency to 'dependencies' list."
)
if not config["graphs"]:
if not config.get("graphs"):
raise click.UsageError(
"No graphs found in config. Add at least one graph to 'graphs' dictionary."
)
# Validate image_distro config
if image_distro := config.get("image_distro"):
if image_distro not in ["debian", "wolfi"]:
if image_distro not in Distros.__args__:
raise click.UsageError(
f"Invalid image_distro: '{image_distro}'. "
"Must be either 'debian' or 'wolfi'."
"Must be one of 'debian', 'bullseye', or 'bookworm'."
)
if pip_installer := config.get("pip_installer"):
@@ -881,10 +913,10 @@ def _assemble_local_deps(config_path: pathlib.Path, config: Config) -> LocalDeps
"Rename the directory to use it as flat-layout package."
)
check_reserved(resolved.name, local_dep)
container_path = f"/deps/__outer_{resolved.name}/{resolved.name}"
container_path = f"/deps/outer-{resolved.name}/{resolved.name}"
else:
# src layout
container_path = f"/deps/__outer_{resolved.name}/src"
container_path = f"/deps/outer-{resolved.name}/src"
for file in files:
rfile = resolved / file
if (
@@ -1224,7 +1256,7 @@ def python_config_to_docker(
else:
pip_installer = "pip"
if pip_installer == "uv":
install_cmd = "uv pip install --system"
install_cmd = "uv pip install --system --prerelease=allow"
elif pip_installer == "pip":
install_cmd = "pip install"
else:
@@ -1254,7 +1286,7 @@ def python_config_to_docker(
if local_deps.pip_reqs:
pip_reqs_str = os.linesep.join(
(
f"COPY --from=__outer_{reqpath.name} requirements.txt {destpath}"
f"COPY --from=outer-{reqpath.name} requirements.txt {destpath}"
if reqpath.parent in local_deps.additional_contexts
else f"ADD {reqpath.relative_to(config_path.parent)} {destpath}"
)
@@ -1273,7 +1305,7 @@ def python_config_to_docker(
faux_pkgs_str = f"{os.linesep}{os.linesep}".join(
(
f"""# -- Adding non-package dependency {fullpath.name} --
COPY --from=__outer_{fullpath.name} . {destpath}"""
COPY --from=outer-{fullpath.name} . {destpath}"""
if fullpath in local_deps.additional_contexts
else f"""# -- Adding non-package dependency {fullpath.name} --
ADD {relpath} {destpath}"""
@@ -1288,7 +1320,7 @@ RUN set -ex && \\
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_{fullpath.name}/pyproject.toml; \\
echo "$line" >> /deps/outer-{fullpath.name}/pyproject.toml; \\
done
# -- End of non-package dependency {fullpath.name} --"""
for fullpath, (relpath, destpath) in local_deps.faux_pkgs.items()
@@ -1391,7 +1423,7 @@ ADD {relpath} /deps/{name}
if p in local_deps.real_pkgs:
name = local_deps.real_pkgs[p][1]
elif p in local_deps.faux_pkgs:
name = f"__outer_{p.name}"
name = f"outer-{p.name}"
else:
raise RuntimeError(f"Unknown additional context: {p}")
additional_contexts[name] = str(p)
@@ -1404,9 +1436,28 @@ def node_config_to_docker(
config: Config,
base_image: str,
api_version: Optional[str] = None,
install_command: Optional[str] = None,
build_command: Optional[str] = None,
build_context: Optional[str] = None,
) -> tuple[str, dict[str, str]]:
faux_path = f"/deps/{config_path.parent.name}"
install_cmd = _get_node_pm_install_cmd(config_path, config)
# Calculate paths for monorepo support
if build_context:
relative_workdir = _calculate_relative_workdir(config_path, build_context)
container_name = pathlib.Path(build_context).name
if relative_workdir:
faux_path = f"/deps/{container_name}/{relative_workdir}"
else:
faux_path = f"/deps/{container_name}"
else:
# Backward compatibility: use the original behavior
faux_path = f"/deps/{config_path.parent.name}"
# Use custom install command or auto-detect
if install_command:
install_cmd = install_command
else:
install_cmd = _get_node_pm_install_cmd(config_path, config)
image_str = docker_tag(config, base_image, api_version)
env_vars: list[str] = []
@@ -1433,20 +1484,35 @@ def node_config_to_docker(
env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
# For monorepo support, we need to handle install and build commands differently
if build_context:
# Monorepo case: install from root, build from config directory
container_root = f"/deps/{pathlib.Path(build_context).name}"
install_step = f"RUN cd {container_root} && {install_cmd}"
if build_command:
build_step = f"RUN cd {faux_path} && {build_command}"
else:
build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
else:
# Original behavior: everything happens in the same directory
install_step = f"RUN cd {faux_path} && {install_cmd}"
build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
docker_file_contents = [
f"FROM {image_str}",
"",
os.linesep.join(config["dockerfile_lines"]),
"",
f"ADD . {faux_path}",
f"ADD . {faux_path if not build_context else container_root}",
"",
f"RUN cd {faux_path} && {install_cmd}",
install_step,
"",
os.linesep.join(env_vars),
"",
f"WORKDIR {faux_path}",
"",
'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts',
build_step,
]
return os.linesep.join(docker_file_contents), {}
@@ -1465,6 +1531,7 @@ def docker_tag(
base_image: Optional[str] = None,
api_version: Optional[str] = None,
) -> str:
api_version = api_version or config.get("api_version")
base_image = base_image or default_base_image(config)
image_distro = config.get("image_distro")
@@ -1473,9 +1540,6 @@ def docker_tag(
if config.get("_INTERNAL_docker_tag"):
return f"{base_image}:{config['_INTERNAL_docker_tag']}"
if "/langgraph-server" in base_image:
return f"{base_image}-py{config['python_version']}"
# Build the standard tag format
language, version = None, None
if config.get("node_version") and not config.get("python_version"):
@@ -1488,22 +1552,50 @@ def docker_tag(
# Prepend API version if provided
if api_version:
full_tag = f"{api_version}-{language}{version_distro_tag}"
elif "/langgraph-server" in base_image and version_distro_tag not in base_image:
return f"{base_image}-{language}{version_distro_tag}"
else:
full_tag = version_distro_tag
return f"{base_image}:{full_tag}"
def _calculate_relative_workdir(config_path: pathlib.Path, build_context: str) -> str:
"""Calculate the relative path from build context to langgraph.json directory."""
config_dir = config_path.parent.resolve()
build_context_path = pathlib.Path(build_context).resolve()
try:
relative_path = config_dir.relative_to(build_context_path)
return str(relative_path) if str(relative_path) != "." else ""
except ValueError as _:
raise ValueError(
f"Configuration file {config_path} is not under the build context {build_context}. "
f"Please run the command from a directory that contains your langgraph.json file, "
) from None
def config_to_docker(
config_path: pathlib.Path,
config: Config,
base_image: Optional[str] = None,
api_version: Optional[str] = None,
install_command: Optional[str] = None,
build_command: Optional[str] = None,
build_context: Optional[str] = None,
) -> tuple[str, dict[str, str]]:
base_image = base_image or default_base_image(config)
if config.get("node_version") and not config.get("python_version"):
return node_config_to_docker(config_path, config, base_image, api_version)
return node_config_to_docker(
config_path,
config,
base_image,
api_version,
install_command,
build_command,
build_context,
)
return python_config_to_docker(config_path, config, base_image, api_version)
+5 -4
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-cli"
version = "0.3.6"
dynamic = ["version"]
description = "CLI for interacting with LangGraph API"
authors = []
requires-python = ">=3.9"
@@ -15,11 +15,12 @@ dependencies = [
"click>=8.1.7",
"langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
]
[tool.hatch.version]
path = "langgraph_cli/__init__.py"
[project.optional-dependencies]
inmem = [
"langgraph-api>=0.2.67,<0.3.0 ; python_version >= '3.11'",
"langgraph-runtime-inmem>=0.6.0 ; python_version >= '3.11'",
"langgraph-api>=0.3,<0.5.0 ; python_version >= '3.11'",
"langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
"python-dotenv>=0.8.0",
]
@@ -0,0 +1,7 @@
{
"dependencies": [".", "../../libs/shared", "../../libs/common"],
"graphs": {
"agent": "./src/agent/graph.py:graph"
},
"env": ".env"
}
@@ -0,0 +1,19 @@
[project]
name = "agent"
version = "0.0.1"
description = "Agent for the Python monorepo"
authors = [
{ name = "Developer", email = "dev@example.com" },
]
license = { text = "MIT" }
requires-python = ">=3.11,<4.0"
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
packages = ["agent"]
[tool.setuptools.package-dir]
"agent" = "src/agent"
@@ -0,0 +1 @@
"""Agent package."""
@@ -0,0 +1,40 @@
"""Simple LangGraph agent for monorepo testing."""
from common import get_common_prefix
from langchain_core.messages import AIMessage
from langgraph.graph import END, START, StateGraph
from shared import get_dummy_message
from agent.state import State
def call_model(state: State) -> dict:
"""Simple node that uses the shared libraries."""
# Use functions from both shared packages
dummy_message = get_dummy_message()
prefix = get_common_prefix()
message = AIMessage(content=f"{prefix} Agent says: {dummy_message}")
return {"messages": [message]}
def should_continue(state: State):
"""Conditional edge - end after first message."""
messages = state["messages"]
if len(messages) > 0:
return END
return "call_model"
# Build the graph
workflow = StateGraph(State)
# Add the node
workflow.add_node("call_model", call_model)
# Add edges
workflow.add_edge(START, "call_model")
workflow.add_conditional_edges("call_model", should_continue)
graph = workflow.compile()
@@ -0,0 +1,13 @@
"""State definition for the agent."""
from collections.abc import Sequence
from typing import Annotated, TypedDict
from langchain_core.messages import BaseMessage
from langgraph.graph.message import add_messages
class State(TypedDict):
"""The state of the agent."""
messages: Annotated[Sequence[BaseMessage], add_messages]
@@ -0,0 +1,5 @@
"""Common helper functions package."""
from .helpers import get_common_prefix
__all__ = ["get_common_prefix"]
@@ -0,0 +1,6 @@
"""Common helper functions."""
def get_common_prefix() -> str:
"""Get a common prefix for messages."""
return "[COMMON]"
@@ -0,0 +1,20 @@
[project]
name = "shared"
version = "0.0.1"
description = "Shared utilities for the Python monorepo"
authors = [
{ name = "Developer", email = "dev@example.com" },
]
license = { text = "MIT" }
requires-python = ">=3.11,<4.0"
dependencies = []
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
packages = ["shared"]
[tool.setuptools.package-dir]
"shared" = "src/shared"
@@ -0,0 +1,5 @@
"""Shared utilities package."""
from .utils import get_dummy_message
__all__ = ["get_dummy_message"]
@@ -0,0 +1,6 @@
"""Shared utility functions."""
def get_dummy_message() -> str:
"""Get a dummy message for testing."""
return "Hello from shared library!"
@@ -0,0 +1,46 @@
[project]
name = "python-monorepo-example"
version = "0.0.1"
description = "A Python monorepo example with LangGraph agents and shared packages"
authors = [
{ name = "Developer", email = "dev@example.com" },
]
license = { text = "MIT" }
requires-python = ">=3.11,<4.0"
dependencies = [
"langgraph>=0.6.0,<0.7.0",
"langchain-core>=0.2.14",
]
[tool.uv.workspace]
members = ["apps/*", "libs/shared"]
[tool.uv.sources]
shared = { workspace = true }
[project.optional-dependencies]
dev = ["mypy>=1.11.1", "ruff>=0.6.1"]
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.ruff]
lint.select = [
"E", # pycodestyle
"F", # pyflakes
"I", # isort
"D", # pydocstyle
"UP",
]
lint.ignore = [
"D100", # Missing docstring in public module
"D101", # Missing docstring in public class
"D102", # Missing docstring in public method
"D103", # Missing docstring in public function
"D104", # Missing docstring in public package
"D105", # Missing docstring in magic method
]
[tool.ruff.lint.pydocstyle]
convention = "google"
+39 -4
View File
@@ -15,7 +15,8 @@
"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"
"3.12",
"3.13"
]
},
"pip_config_file": {
@@ -40,6 +41,17 @@
],
"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": [
{
@@ -122,8 +134,9 @@
"image_distro": {
"anyOf": [
{
"type": "string",
"enum": [
"bookworm",
"bullseye",
"debian",
"wolfi"
]
@@ -132,7 +145,7 @@
"type": "null"
}
],
"description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
},
"keep_pkg_tools": {
"anyOf": [
@@ -221,6 +234,17 @@
],
"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": [
{
@@ -313,7 +337,7 @@
"type": "null"
}
],
"description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
},
"keep_pkg_tools": {
"anyOf": [
@@ -552,6 +576,17 @@
"disable_threads": {
"type": "boolean",
"description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
},
"logging_headers": {
"anyOf": [
{
"$ref": "#/$defs/ConfigurableHeaderConfig"
},
{
"type": "null"
}
],
"description": "Optional. Defines which headers are excluded from logging."
}
},
"required": []
+39 -4
View File
@@ -15,7 +15,8 @@
"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"
"3.12",
"3.13"
]
},
"pip_config_file": {
@@ -40,6 +41,17 @@
],
"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": [
{
@@ -122,8 +134,9 @@
"image_distro": {
"anyOf": [
{
"type": "string",
"enum": [
"bookworm",
"bullseye",
"debian",
"wolfi"
]
@@ -132,7 +145,7 @@
"type": "null"
}
],
"description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
},
"keep_pkg_tools": {
"anyOf": [
@@ -221,6 +234,17 @@
],
"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": [
{
@@ -313,7 +337,7 @@
"type": "null"
}
],
"description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
},
"keep_pkg_tools": {
"anyOf": [
@@ -552,6 +576,17 @@
"disable_threads": {
"type": "boolean",
"description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
},
"logging_headers": {
"anyOf": [
{
"$ref": "#/$defs/ConfigurableHeaderConfig"
},
{
"type": "null"
}
],
"description": "Optional. Defines which headers are excluded from logging."
}
},
"required": []
+6 -4
View File
@@ -15,7 +15,7 @@ from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Versi
from langgraph_cli.util import clean_empty_lines
FORMATTED_CLEANUP_LINES = _get_pip_cleanup_lines(
install_cmd="uv pip install --system",
install_cmd="uv pip install --system --prerelease=allow",
to_uninstall=("pip", "setuptools", "wheel"),
pip_installer="uv",
)
@@ -149,7 +149,7 @@ services:
COPY --from=cli_1 . /deps/cli_1
# -- End of local package ../../.. --
# -- Installing all local dependencies --
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGSERVE_GRAPHS='{{"agent": "agent.py:graph"}}'
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
@@ -381,7 +381,9 @@ def test_dockerfile_command_with_base_image() -> None:
assert save_path.exists()
with open(save_path) as f:
dockerfile = f.read()
assert re.match("FROM langchain/langgraph-server:0.2-py3.*", dockerfile)
assert re.match("FROM langchain/langgraph-server:0.2-py3.*", dockerfile), (
"\n".join(dockerfile.splitlines()[:3])
)
def test_dockerfile_command_with_docker_compose() -> None:
@@ -568,7 +570,7 @@ def test_build_generate_proper_build_context():
catch_exceptions=True,
)
build_context_pattern = re.compile(r"--build-context\s+(\w+)=([^\s]+)")
build_context_pattern = re.compile(r"--build-context\s+([\w-]+)=([^\s]+)")
build_contexts = re.findall(build_context_pattern, result.output)
assert len(build_contexts) == 2, (
+109 -96
View File
@@ -20,7 +20,7 @@ from langgraph_cli.config import (
from langgraph_cli.util import clean_empty_lines
FORMATTED_CLEANUP_LINES = _get_pip_cleanup_lines(
install_cmd="uv pip install --system",
install_cmd="uv pip install --system --prerelease=allow",
to_uninstall=("pip", "setuptools", "wheel"),
pip_installer="uv",
)
@@ -38,7 +38,6 @@ def test_validate_config():
}
actual_config = validate_config(expected_config)
expected_config = {
"_INTERNAL_docker_tag": None,
"base_image": None,
"python_version": "3.11",
"node_version": None,
@@ -61,7 +60,6 @@ def test_validate_config():
# full config
env = ".env"
expected_config = {
"_INTERNAL_docker_tag": None,
"base_image": None,
"python_version": "3.12",
"node_version": None,
@@ -190,7 +188,6 @@ def test_validate_config_image_distro():
}
)
assert "Invalid image_distro: 'ubuntu'" in str(exc_info.value)
assert "Must be either 'debian' or 'wolfi'" in str(exc_info.value)
with pytest.raises(click.UsageError) as exc_info:
validate_config(
@@ -424,14 +421,14 @@ def test_config_to_docker_simple():
expected_docker_stdin = f"""\
FROM langchain/langgraph-api:3.11
# -- Installing local requirements --
COPY --from=__outer_requirements.txt requirements.txt /deps/__outer_graphs_reqs_a/graphs_reqs_a/requirements.txt
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -r /deps/__outer_graphs_reqs_a/graphs_reqs_a/requirements.txt
COPY --from=outer-requirements.txt requirements.txt /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -r /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt
# -- End of local requirements install --
# -- Adding local package ../../examples --
COPY --from=examples . /deps/examples
# -- End of local package ../../examples --
# -- Adding non-package dependency unit_tests --
ADD . /deps/__outer_unit_tests/unit_tests
ADD . /deps/outer-unit_tests/unit_tests
RUN set -ex && \\
for line in '[project]' \\
'name = "unit_tests"' \\
@@ -441,11 +438,11 @@ RUN set -ex && \\
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
done
# -- End of non-package dependency unit_tests --
# -- Adding non-package dependency graphs_reqs_a --
COPY --from=__outer_graphs_reqs_a . /deps/__outer_graphs_reqs_a/graphs_reqs_a
COPY --from=outer-graphs_reqs_a . /deps/outer-graphs_reqs_a/graphs_reqs_a
RUN set -ex && \\
for line in '[project]' \\
'name = "graphs_reqs_a"' \\
@@ -455,21 +452,21 @@ RUN set -ex && \\
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_graphs_reqs_a/pyproject.toml; \\
echo "$line" >> /deps/outer-graphs_reqs_a/pyproject.toml; \\
done
# -- End of non-package dependency graphs_reqs_a --
# -- Installing all local dependencies --
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGGRAPH_HTTP='{{"app": "/deps/examples/my_app.py:app"}}'
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
{FORMATTED_CLEANUP_LINES}
WORKDIR /deps/__outer_unit_tests/unit_tests\
WORKDIR /deps/outer-unit_tests/unit_tests\
"""
assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
assert additional_contexts == {
"__outer_graphs_reqs_a": str(
"outer-graphs_reqs_a": str(
(pathlib.Path(__file__).parent / "../../examples/graphs_reqs_a").resolve()
),
"examples": str((pathlib.Path(__file__).parent / "../../examples").resolve()),
@@ -487,7 +484,7 @@ def test_config_to_docker_outside_path():
"""\
FROM langchain/langgraph-api:3.11
# -- Adding non-package dependency unit_tests --
ADD . /deps/__outer_unit_tests/unit_tests
ADD . /deps/outer-unit_tests/unit_tests
RUN set -ex && \\
for line in '[project]' \\
'name = "unit_tests"' \\
@@ -497,11 +494,11 @@ RUN set -ex && \\
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
done
# -- End of non-package dependency unit_tests --
# -- Adding non-package dependency tests --
COPY --from=__outer_tests . /deps/__outer_tests/tests
COPY --from=outer-tests . /deps/outer-tests/tests
RUN set -ex && \\
for line in '[project]' \\
'name = "tests"' \\
@@ -511,22 +508,22 @@ RUN set -ex && \\
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_tests/pyproject.toml; \\
echo "$line" >> /deps/outer-tests/pyproject.toml; \\
done
# -- End of non-package dependency tests --
# -- Installing all local dependencies --
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}'
ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
"""
+ FORMATTED_CLEANUP_LINES
+ """
WORKDIR /deps/__outer_unit_tests/unit_tests\
WORKDIR /deps/outer-unit_tests/unit_tests\
"""
)
assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
assert additional_contexts == {
"__outer_tests": str(pathlib.Path(__file__).parent.parent.absolute()),
"outer-tests": str(pathlib.Path(__file__).parent.parent.absolute()),
}
@@ -548,7 +545,7 @@ def test_config_to_docker_pipconfig():
FROM langchain/langgraph-api:3.11
ADD pipconfig.txt /pipconfig.txt
# -- Adding non-package dependency unit_tests --
ADD . /deps/__outer_unit_tests/unit_tests
ADD . /deps/outer-unit_tests/unit_tests
RUN set -ex && \\
for line in '[project]' \\
'name = "unit_tests"' \\
@@ -558,17 +555,17 @@ RUN set -ex && \\
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
done
# -- End of non-package dependency unit_tests --
# -- Installing all local dependencies --
RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}'
ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
"""
+ FORMATTED_CLEANUP_LINES
+ """
WORKDIR /deps/__outer_unit_tests/unit_tests\
WORKDIR /deps/outer-unit_tests/unit_tests\
"""
)
assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
@@ -610,7 +607,7 @@ def test_config_to_docker_local_deps():
expected_docker_stdin = f"""\
FROM langchain/langgraph-api-custom:3.11
# -- Adding non-package dependency graphs --
ADD ./graphs /deps/__outer_graphs/src
ADD ./graphs /deps/outer-graphs/src
RUN set -ex && \\
for line in '[project]' \\
'name = "graphs"' \\
@@ -620,13 +617,13 @@ RUN set -ex && \\
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_graphs/pyproject.toml; \\
echo "$line" >> /deps/outer-graphs/pyproject.toml; \\
done
# -- End of non-package dependency graphs --
# -- Installing all local dependencies --
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_graphs/src/agent.py:graph"}}'
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
{FORMATTED_CLEANUP_LINES}\
"""
assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
@@ -660,7 +657,7 @@ dependencies = ["langchain"]"""
ADD . /deps/unit_tests
# -- End of local package . --
# -- Installing all local dependencies --
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGSERVE_GRAPHS='{"agent": "/deps/unit_tests/graphs/agent.py:graph"}'
"""
@@ -692,9 +689,9 @@ def test_config_to_docker_end_to_end():
ARG meow
ARG foo
ADD pipconfig.txt /pipconfig.txt
RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt langchain langchain_openai
RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt langchain langchain_openai
# -- Adding non-package dependency graphs --
ADD ./graphs/ /deps/__outer_graphs/src
ADD ./graphs/ /deps/outer-graphs/src
RUN set -ex && \\
for line in '[project]' \\
'name = "graphs"' \\
@@ -704,13 +701,13 @@ RUN set -ex && \\
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_graphs/pyproject.toml; \\
echo "$line" >> /deps/outer-graphs/pyproject.toml; \\
done
# -- End of non-package dependency graphs --
# -- Installing all local dependencies --
RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_graphs/src/agent.py:graph"}}'
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
{FORMATTED_CLEANUP_LINES}"""
assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
assert additional_contexts == {}
@@ -800,7 +797,7 @@ def test_config_to_docker_gen_ui_python():
expected_docker_stdin = f"""FROM langchain/langgraph-api:3.11
RUN /storage/install-node.sh
# -- Adding non-package dependency unit_tests --
ADD . /deps/__outer_unit_tests/unit_tests
ADD . /deps/outer-unit_tests/unit_tests
RUN set -ex && \\
for line in '[project]' \\
'name = "unit_tests"' \\
@@ -810,21 +807,21 @@ RUN set -ex && \\
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
done
# -- End of non-package dependency unit_tests --
# -- Installing all local dependencies --
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGGRAPH_UI='{{"agent": "./graphs/agent.ui.jsx"}}'
ENV LANGGRAPH_UI_CONFIG='{{"shared": ["nuqs"]}}'
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
# -- Installing JS dependencies --
ENV NODE_VERSION=20
RUN cd /deps/__outer_unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
RUN cd /deps/outer-unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
# -- End of JS dependencies install --
{FORMATTED_CLEANUP_LINES}
WORKDIR /deps/__outer_unit_tests/unit_tests"""
WORKDIR /deps/outer-unit_tests/unit_tests"""
assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
assert additional_contexts == {}
@@ -846,7 +843,7 @@ def test_config_to_docker_multiplatform():
expected_docker_stdin = f"""FROM langchain/langgraph-api:3.11
RUN /storage/install-node.sh
# -- Adding non-package dependency unit_tests --
ADD . /deps/__outer_unit_tests/unit_tests
ADD . /deps/outer-unit_tests/unit_tests
RUN set -ex && \\
for line in '[project]' \\
'name = "unit_tests"' \\
@@ -856,19 +853,19 @@ RUN set -ex && \\
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
done
# -- End of non-package dependency unit_tests --
# -- Installing all local dependencies --
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGSERVE_GRAPHS='{{"python": "/deps/__outer_unit_tests/unit_tests/multiplatform/python.py:graph", "js": "/deps/__outer_unit_tests/unit_tests/multiplatform/js.mts:graph"}}'
ENV LANGSERVE_GRAPHS='{{"python": "/deps/outer-unit_tests/unit_tests/multiplatform/python.py:graph", "js": "/deps/outer-unit_tests/unit_tests/multiplatform/js.mts:graph"}}'
# -- Installing JS dependencies --
ENV NODE_VERSION=22
RUN cd /deps/__outer_unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
RUN cd /deps/outer-unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
# -- End of JS dependencies install --
{FORMATTED_CLEANUP_LINES}
WORKDIR /deps/__outer_unit_tests/unit_tests"""
WORKDIR /deps/outer-unit_tests/unit_tests"""
assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
assert additional_contexts == {}
@@ -890,7 +887,7 @@ def test_config_to_docker_pip_installer():
docker_auto, _ = config_to_docker(
PATH_TO_CONFIG, config_auto, "langchain/langgraph-api:0.2.47"
)
assert "uv pip install --system" in docker_auto
assert "uv pip install --system --prerelease=allow" in docker_auto
assert "rm /usr/bin/uv /usr/bin/uvx" in docker_auto
# Test explicit pip setting
@@ -898,7 +895,7 @@ def test_config_to_docker_pip_installer():
docker_pip, _ = config_to_docker(
PATH_TO_CONFIG, config_pip, "langchain/langgraph-api:0.2.47"
)
assert "uv pip install --system" not in docker_pip
assert "uv pip install --system --prerelease=allow" not in docker_pip
assert "pip install" in docker_pip
assert "rm /usr/bin/uv" not in docker_pip
@@ -907,7 +904,7 @@ def test_config_to_docker_pip_installer():
docker_uv, _ = config_to_docker(
PATH_TO_CONFIG, config_uv, "langchain/langgraph-api:0.2.47"
)
assert "uv pip install --system" in docker_uv
assert "uv pip install --system --prerelease=allow" in docker_uv
assert "rm /usr/bin/uv /usr/bin/uvx" in docker_uv
# Test auto behavior with older image (should use pip)
@@ -917,7 +914,7 @@ def test_config_to_docker_pip_installer():
docker_auto_old, _ = config_to_docker(
PATH_TO_CONFIG, config_auto_old, "langchain/langgraph-api:0.2.46"
)
assert "uv pip install --system" not in docker_auto_old
assert "uv pip install --system --prerelease=allow" not in docker_auto_old
assert "pip install" in docker_auto_old
assert "rm /usr/bin/uv" not in docker_auto_old
@@ -926,7 +923,7 @@ def test_config_to_docker_pip_installer():
docker_default, _ = config_to_docker(
PATH_TO_CONFIG, config_default, "langchain/langgraph-api:0.2.47"
)
assert "uv pip install --system" in docker_default
assert "uv pip install --system --prerelease=allow" in docker_default
def test_config_retain_build_tools():
@@ -987,7 +984,7 @@ def test_config_to_compose_simple_config():
dockerfile_inline: |
FROM langchain/langgraph-api:3.11
# -- Adding non-package dependency unit_tests --
ADD . /deps/__outer_unit_tests/unit_tests
ADD . /deps/outer-unit_tests/unit_tests
RUN set -ex && \\
for line in '[project]' \\
'name = "unit_tests"' \\
@@ -997,15 +994,15 @@ def test_config_to_compose_simple_config():
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
done
# -- End of non-package dependency unit_tests --
# -- Installing all local dependencies --
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
WORKDIR /deps/__outer_unit_tests/unit_tests
WORKDIR /deps/outer-unit_tests/unit_tests
"""
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
@@ -1028,7 +1025,7 @@ def test_config_to_compose_env_vars():
dockerfile_inline: |
FROM langchain/langgraph-api-custom:3.11
# -- Adding non-package dependency unit_tests --
ADD . /deps/__outer_unit_tests/unit_tests
ADD . /deps/outer-unit_tests/unit_tests
RUN set -ex && \\
for line in '[project]' \\
'name = "unit_tests"' \\
@@ -1038,15 +1035,15 @@ def test_config_to_compose_env_vars():
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
done
# -- End of non-package dependency unit_tests --
# -- Installing all local dependencies --
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
WORKDIR /deps/__outer_unit_tests/unit_tests
WORKDIR /deps/outer-unit_tests/unit_tests
"""
openai_api_key = "key"
actual_compose_stdin = config_to_compose(
@@ -1073,7 +1070,7 @@ def test_config_to_compose_env_file():
dockerfile_inline: |
FROM langchain/langgraph-api:3.11
# -- Adding non-package dependency unit_tests --
ADD . /deps/__outer_unit_tests/unit_tests
ADD . /deps/outer-unit_tests/unit_tests
RUN set -ex && \\
for line in '[project]' \\
'name = "unit_tests"' \\
@@ -1083,15 +1080,15 @@ def test_config_to_compose_env_file():
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
done
# -- End of non-package dependency unit_tests --
# -- Installing all local dependencies --
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
WORKDIR /deps/__outer_unit_tests/unit_tests
WORKDIR /deps/outer-unit_tests/unit_tests
"""
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
@@ -1111,7 +1108,7 @@ def test_config_to_compose_watch():
dockerfile_inline: |
FROM langchain/langgraph-api:3.11
# -- Adding non-package dependency unit_tests --
ADD . /deps/__outer_unit_tests/unit_tests
ADD . /deps/outer-unit_tests/unit_tests
RUN set -ex && \\
for line in '[project]' \\
'name = "unit_tests"' \\
@@ -1121,15 +1118,15 @@ def test_config_to_compose_watch():
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
done
# -- End of non-package dependency unit_tests --
# -- Installing all local dependencies --
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
WORKDIR /deps/__outer_unit_tests/unit_tests
WORKDIR /deps/outer-unit_tests/unit_tests
develop:
watch:
@@ -1158,7 +1155,7 @@ def test_config_to_compose_end_to_end():
dockerfile_inline: |
FROM langchain/langgraph-api:3.11
# -- Adding non-package dependency unit_tests --
ADD . /deps/__outer_unit_tests/unit_tests
ADD . /deps/outer-unit_tests/unit_tests
RUN set -ex && \\
for line in '[project]' \\
'name = "unit_tests"' \\
@@ -1168,15 +1165,15 @@ def test_config_to_compose_end_to_end():
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
done
# -- End of non-package dependency unit_tests --
# -- Installing all local dependencies --
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
# -- End of local dependencies install --
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
WORKDIR /deps/__outer_unit_tests/unit_tests
WORKDIR /deps/outer-unit_tests/unit_tests
develop:
watch:
@@ -1339,19 +1336,22 @@ def test_docker_tag_different_node_versions_with_distro():
assert tag == expected_tag, f"Failed for Node.js {node_version}"
def test_docker_tag_with_api_version():
@pytest.mark.parametrize("in_config", [False, True])
def test_docker_tag_with_api_version(in_config: bool):
"""Test docker_tag function with api_version parameter."""
# Test 1: Python config with api_version and default distro
version = "0.2.74"
config = validate_config(
{
"python_version": "3.11",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version="0.2.74")
assert tag == "langchain/langgraph-api:0.2.74-py3.11"
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraph-api:{version}-py3.11"
# Test 2: Python config with api_version and wolfi distro
config = validate_config(
@@ -1360,20 +1360,22 @@ def test_docker_tag_with_api_version():
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"image_distro": "wolfi",
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version="0.2.74")
assert tag == "langchain/langgraph-api:0.2.74-py3.12-wolfi"
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraph-api:{version}-py3.12-wolfi"
# Test 3: Node.js config with api_version and default distro
config = validate_config(
{
"node_version": "20",
"graphs": {"agent": "./agent.js:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version="0.2.74")
assert tag == "langchain/langgraphjs-api:0.2.74-node20"
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraphjs-api:{version}-node20"
# Test 4: Node.js config with api_version and wolfi distro
config = validate_config(
@@ -1381,10 +1383,11 @@ def test_docker_tag_with_api_version():
"node_version": "20",
"graphs": {"agent": "./agent.js:graph"},
"image_distro": "wolfi",
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version="0.2.74")
assert tag == "langchain/langgraphjs-api:0.2.74-node20-wolfi"
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraphjs-api:{version}-node20-wolfi"
# Test 5: Custom base image with api_version
config = validate_config(
@@ -1393,10 +1396,15 @@ def test_docker_tag_with_api_version():
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"base_image": "my-registry/custom-image",
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, base_image="my-registry/custom-image", api_version="1.0.0")
assert tag == "my-registry/custom-image:1.0.0-py3.11"
tag = docker_tag(
config,
base_image="my-registry/custom-image",
api_version=version if not in_config else None,
)
assert tag == f"my-registry/custom-image:{version}-py3.11"
# Test 6: api_version with different Python versions
for python_version in ["3.11", "3.12", "3.13"]:
@@ -1405,10 +1413,11 @@ def test_docker_tag_with_api_version():
"python_version": python_version,
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version="0.2.74")
assert tag == f"langchain/langgraph-api:0.2.74-py{python_version}"
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraph-api:{version}-py{python_version}"
# Test 7: Without api_version should work as before
config = validate_config(
@@ -1428,10 +1437,11 @@ def test_docker_tag_with_api_version():
"node_version": "20",
"dependencies": ["."],
"graphs": {"python": "./agent.py:graph", "js": "./agent.js:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version="0.2.74")
assert tag == "langchain/langgraph-api:0.2.74-py3.11"
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraph-api:{version}-py3.11"
# Test 9: api_version with _INTERNAL_docker_tag should ignore api_version
config = validate_config(
@@ -1451,12 +1461,15 @@ def test_docker_tag_with_api_version():
"python_version": "3.11",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(
config, base_image="langchain/langgraph-server:0.2", api_version="0.2.74"
config,
base_image="langchain/langgraph-server",
api_version=version if not in_config else None,
)
assert tag == "langchain/langgraph-server:0.2-py3.11"
assert tag == f"langchain/langgraph-server:{version}-py3.11"
def test_config_to_docker_with_api_version():
+353 -320
View File
@@ -18,16 +18,16 @@ wheels = [
[[package]]
name = "anyio"
version = "4.9.0"
version = "4.10.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "idna", marker = "python_full_version >= '3.11'" },
{ name = "sniffio", marker = "python_full_version >= '3.11'" },
{ name = "typing-extensions", marker = "python_full_version >= '3.11' and python_full_version < '3.13'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/95/7d/4c1bd541d4dffa1b52bd83fb8527089e097a106fc90b467a7313b105f840/anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028", size = 190949, upload-time = "2025-03-17T00:02:54.77Z" }
sdist = { url = "https://files.pythonhosted.org/packages/f1/b4/636b3b65173d3ce9a38ef5f0522789614e590dab6a8d505340a4efe4c567/anyio-4.10.0.tar.gz", hash = "sha256:3f3fae35c96039744587aa5b8371e7e8e603c0702999535961dd336026973ba6", size = 213252, upload-time = "2025-08-04T08:54:26.451Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c", size = 100916, upload-time = "2025-03-17T00:02:52.713Z" },
{ url = "https://files.pythonhosted.org/packages/6f/12/e5e0282d673bb9746bacfb6e2dba8719989d3660cdb2ea79aee9a9651afb/anyio-4.10.0-py3-none-any.whl", hash = "sha256:60e474ac86736bbfd6f210f7a61218939c318f43f9972497381f1c5e930ed3d1", size = 107213, upload-time = "2025-08-04T08:54:24.882Z" },
]
[[package]]
@@ -53,11 +53,11 @@ wheels = [
[[package]]
name = "certifi"
version = "2025.7.14"
version = "2025.8.3"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/b3/76/52c535bcebe74590f296d6c77c86dabf761c41980e1347a2422e4aa2ae41/certifi-2025.7.14.tar.gz", hash = "sha256:8ea99dbdfaaf2ba2f9bac77b9249ef62ec5218e7c2b2e903378ed5fccf765995", size = 163981, upload-time = "2025-07-14T03:29:28.449Z" }
sdist = { url = "https://files.pythonhosted.org/packages/dc/67/960ebe6bf230a96cda2e0abcf73af550ec4f090005363542f0765df162e0/certifi-2025.8.3.tar.gz", hash = "sha256:e564105f78ded564e3ae7c923924435e1daa7463faeab5bb932bc53ffae63407", size = 162386, upload-time = "2025-08-03T03:07:47.08Z" }
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]
+3 -1
View File
@@ -5,7 +5,9 @@
"Bash(python:*)",
"Bash(grep:*)",
"Bash(sed:*)",
"Bash(awk:*)"
"Bash(awk:*)",
"Bash(uv run mypy:*)",
"Bash(uv run:*)"
],
"deny": []
}
+10 -10
View File
@@ -37,11 +37,11 @@ coverage:
--cov-report xml \
--cov-report term-missing:skip-covered
start-postgres:
docker compose -f tests/compose-postgres.yml up -V --force-recreate --wait --remove-orphans
start-services:
docker compose -f tests/compose-postgres.yml -f tests/compose-redis.yml up -V --force-recreate --wait --remove-orphans
stop-postgres:
docker compose -f tests/compose-postgres.yml down -v
stop-services:
docker compose -f tests/compose-postgres.yml -f tests/compose-redis.yml down -v
start-dev-server:
LOG_LEVEL=warning uv run langgraph dev --config tests/example_app/langgraph.json --no-browser & echo "$$!" > .devserver.pid
@@ -60,11 +60,11 @@ NO_DOCKER ?= $(sh command -v docker >/dev/null 2>&1 && echo "false" || echo "tru
test:
if [ "$(NO_DOCKER)" = "false" ]; then \
make start-postgres &&\
make start-services &&\
make start-dev-server &&\
uv run pytest $(TEST); \
EXIT_CODE=$$?; \
make stop-postgres; \
make stop-services; \
make stop-dev-server; \
exit $$EXIT_CODE; \
else \
@@ -74,11 +74,11 @@ test:
fi
test_parallel:
make start-postgres &&\
make start-services &&\
make start-dev-server &&\
uv run pytest -n auto --dist worksteal $(TEST); \
EXIT_CODE=$$?; \
make stop-postgres; \
make stop-services; \
make stop-dev-server; \
exit $$EXIT_CODE
@@ -93,11 +93,11 @@ MAXFAIL_ARGS := $(if $(MAXFAIL),--maxfail $(MAXFAIL),)
XDIST_ARGS := $(if $(WORKERS),-x $(XDIST_ARGS),)
test_watch:
make start-postgres &&\
make start-services &&\
make start-dev-server &&\
uv run ptw . -- --ff -vv $(XDIST_ARGS) $(MAXFAIL_ARGS) $(TEST); \
EXIT_CODE=$$?; \
make stop-postgres; \
make stop-services; \
make stop-dev-server; \
exit $$EXIT_CODE
@@ -0,0 +1,279 @@
# Understanding `channel_versions` for State Channels in LangGraph
## Overview
While `versions_seen` only tracks trigger channels, `channel_versions` tracks **ALL channels** including state channels like `fieldA` and `fieldB`. This document explains why state channel versions matter.
## The Two Version Tracking Mechanisms
| Mechanism | What it tracks | Purpose |
|-----------|---------------|---------|
| `channel_versions` | **All channels** (state + triggers) | Storage, recovery, change tracking |
| `versions_seen` | **Only triggers** | Scheduling, prevent duplicate execution |
---
## Why Track State Channel Versions?
### Purpose 1: Incremental Storage
When saving a checkpoint, LangGraph only serializes channels that have **changed** since the last checkpoint.
```python
# In checkpointer.put()
def put(self, config, checkpoint, metadata, new_versions):
for k, v in new_versions.items(): # Only changed channels!
self.blobs[(thread_id, ns, k, v)] = serialize(values[k])
```
The `new_versions` parameter is computed by comparing current versions with previous versions:
```python
def get_new_channel_versions(previous_versions, current_versions):
"""Get subset of current_versions that are newer than previous_versions."""
return {
k: v
for k, v in current_versions.items()
if v > previous_versions.get(k, null_version)
}
```
**Benefit**: If `fieldA` didn't change in a step, it won't be re-serialized!
### Purpose 2: Version-Keyed Storage
Channel values are stored with their version as part of the key:
```python
# Storage structure in InMemorySaver
blobs = {
(thread_id, ns, "fieldA", v02): b"Hello", # Step 0
(thread_id, ns, "fieldA", v03): b"Hello->A", # Step 1
(thread_id, ns, "fieldA", v04): b"Hello->A->B", # Step 2
(thread_id, ns, "fieldB", v02): b"World", # Step 0
(thread_id, ns, "fieldB", v03): b"World->A", # Step 1
...
}
```
**Benefit**: Can restore to ANY historical checkpoint - each version's value is stored independently.
### Purpose 3: Precise Recovery
When restoring a checkpoint, use `channel_versions` to load the correct value:
```python
# Restoring Step 1's checkpoint
checkpoint["channel_versions"] = {"fieldA": v03, "fieldB": v03}
# Load correct version of each value
fieldA = blobs[(thread_id, ns, "fieldA", v03)] # "Hello->A"
fieldB = blobs[(thread_id, ns, "fieldB", v03)] # "World->A"
```
---
## Example: Step-by-Step Channel Version Changes
Using the same graph:
```
┌──────────┐
│ nodeA │ (reads fieldA + fieldB)
└────┬─────┘
│
┌──────┴──────┐
▼ ▼
┌──────────┐ ┌──────────┐
│ nodeB │ │ nodeC │ (nodeB reads fieldA, nodeC reads fieldB)
└────┬─────┘ └────┬─────┘
│ │
└──────┬──────┘
▼
┌──────────┐
│ nodeD │ (reads fieldA + fieldB)
└──────────┘
```
### Step -1: Input
```
channel_versions:
__start__: v01
channel_values:
__start__: {'fieldA': 'Hello', 'fieldB': 'World'}
new_versions (to save): {__start__: v01}
→ Only __start__ is saved
```
### Step 0: `__start__` executes
```
channel_versions:
__start__: v02
branch:to:nodeA: v02
fieldA: v02 ← NEW!
fieldB: v02 ← NEW!
channel_values:
branch:to:nodeA: None
fieldA: Hello
fieldB: World
new_versions (to save): {__start__: v02, branch:to:nodeA: v02, fieldA: v02, fieldB: v02}
→ All changed channels are saved
```
### Step 1: nodeA executes
```
channel_versions:
__start__: v02 ← unchanged
branch:to:nodeA: v03 ← updated (consumed)
branch:to:nodeB: v03 ← NEW!
branch:to:nodeC: v03 ← NEW!
fieldA: v03 ← updated!
fieldB: v03 ← updated!
channel_values:
branch:to:nodeB: None
branch:to:nodeC: None
fieldA: Hello->A
fieldB: World->A
new_versions (to save): {branch:to:nodeA: v03, branch:to:nodeB: v03, branch:to:nodeC: v03, fieldA: v03, fieldB: v03}
→ __start__ NOT saved (unchanged at v02)
```
### Step 2: nodeB and nodeC execute (parallel)
```
channel_versions:
__start__: v02 ← unchanged
branch:to:nodeA: v03 ← unchanged
branch:to:nodeB: v04 ← updated (consumed)
branch:to:nodeC: v04 ← updated (consumed)
fieldA: v04 ← updated by nodeB!
fieldB: v04 ← updated by nodeC!
join:nodeB+nodeC:nodeD: v04 ← NEW!
channel_values:
fieldA: Hello->A->B
fieldB: World->A->C
join:nodeB+nodeC:nodeD: {'nodeB', 'nodeC'}
new_versions (to save): {branch:to:nodeB: v04, branch:to:nodeC: v04, fieldA: v04, fieldB: v04, join:...: v04}
→ Only changed channels saved
```
### Step 3: nodeD executes
```
channel_versions:
__start__: v02 ← unchanged since Step 0!
branch:to:nodeA: v03 ← unchanged since Step 1
branch:to:nodeB: v04 ← unchanged
branch:to:nodeC: v04 ← unchanged
fieldA: v05 ← updated by nodeD!
fieldB: v05 ← updated by nodeD!
join:nodeB+nodeC:nodeD: v05 ← updated (consumed)
channel_values:
fieldA: Hello->A->B->D
fieldB: World->A->C->D
join:nodeB+nodeC:nodeD: set()
new_versions (to save): {fieldA: v05, fieldB: v05, join:...: v05}
→ Only 3 channels saved, not all 7!
```
---
## Storage Efficiency Visualization
```
Step 0: Save [__start__, branch:to:nodeA, fieldA, fieldB] = 4 channels
Step 1: Save [branch:to:nodeA, branch:to:nodeB, branch:to:nodeC, fieldA, fieldB] = 5 channels
Step 2: Save [branch:to:nodeB, branch:to:nodeC, fieldA, fieldB, join:...] = 5 channels
Step 3: Save [fieldA, fieldB, join:...] = 3 channels
Without incremental storage: 7 channels × 4 steps = 28 serializations
With incremental storage: 4 + 5 + 5 + 3 = 17 serializations
= 39% savings!
```
---
## Time Travel: Restoring Any Checkpoint
Because each version is stored separately, you can restore to any point:
```
Want to restore Step 1?
→ checkpoint["channel_versions"] = {fieldA: v03, fieldB: v03, ...}
→ Load blobs[(thread_id, ns, "fieldA", v03)] = "Hello->A"
→ Load blobs[(thread_id, ns, "fieldB", v03)] = "World->A"
Want to restore Step 2?
→ checkpoint["channel_versions"] = {fieldA: v04, fieldB: v04, ...}
→ Load blobs[(thread_id, ns, "fieldA", v04)] = "Hello->A->B"
→ Load blobs[(thread_id, ns, "fieldB", v04)] = "World->A->C"
```
---
## Summary: State Channel Versions vs Trigger Channel Versions
| Aspect | State Channels (fieldA, fieldB) | Trigger Channels (branch:to:*) |
|--------|--------------------------------|-------------------------------|
| In `channel_versions`? | ✅ Yes | ✅ Yes |
| In `versions_seen`? | ❌ No | ✅ Yes |
| Version increases when? | Value is updated | Written to OR consumed |
| Used for scheduling? | ❌ No | ✅ Yes |
| Used for storage? | ✅ Yes (incremental save) | ✅ Yes |
| Used for recovery? | ✅ Yes (load correct version) | ✅ Yes |
---
## Code Reference
### Where `channel_versions` is updated
```python
# In apply_writes() - libs/langgraph/langgraph/pregel/_algo.py
for chan, vals in pending_writes_by_channel.items():
if channels[chan].update(vals) and next_version is not None:
checkpoint["channel_versions"][chan] = next_version # ← Update version
updated_channels.add(chan)
```
### Where incremental storage happens
```python
# In InMemorySaver.put() - libs/checkpoint/langgraph/checkpoint/memory/__init__.py
def put(self, config, checkpoint, metadata, new_versions):
values = checkpoint.pop("channel_values")
for k, v in new_versions.items(): # ← Only save changed channels
self.blobs[(thread_id, checkpoint_ns, k, v)] = (
self.serde.dumps_typed(values[k]) if k in values else ("empty", b"")
)
```
---
## Running the Test
To see channel versions in action:
```bash
cd libs/langgraph
uv run python test_versions_seen.py
```
The output shows `channel_versions` for each step, where you can observe:
1. All channels (state + triggers) are tracked
2. Versions increment when values change
3. Some channels stay at the same version across multiple steps (unchanged)
+5 -5
View File
@@ -41,16 +41,16 @@ _Writer = Callable[
def _get_branch_path_input_schema(
path: Callable[..., Hashable | list[Hashable]]
| Callable[..., Awaitable[Hashable | list[Hashable]]]
| Runnable[Any, Hashable | list[Hashable]],
path: Callable[..., Hashable | Sequence[Hashable]]
| Callable[..., Awaitable[Hashable | Sequence[Hashable]]]
| Runnable[Any, Hashable | Sequence[Hashable]],
) -> type[Any] | None:
input = None
# detect input schema annotation in the branch callable
try:
callable_: (
Callable[..., Hashable | list[Hashable]]
| Callable[..., Awaitable[Hashable | list[Hashable]]]
Callable[..., Hashable | Sequence[Hashable]]
| Callable[..., Awaitable[Hashable | Sequence[Hashable]]]
| None
) = None
if isinstance(path, (RunnableCallable, RunnableLambda)):
+13 -7
View File
@@ -25,7 +25,7 @@ from typing import (
from langchain_core.runnables import Runnable, RunnableConfig
from pydantic import BaseModel, TypeAdapter
from typing_extensions import Self, Unpack, is_typeddict
from typing_extensions import NotRequired, Required, Self, Unpack, is_typeddict
from langgraph._internal._constants import (
INTERRUPT,
@@ -607,9 +607,9 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
def add_conditional_edges(
self,
source: str,
path: Callable[..., Hashable | list[Hashable]]
| Callable[..., Awaitable[Hashable | list[Hashable]]]
| Runnable[Any, Hashable | list[Hashable]],
path: Callable[..., Hashable | Sequence[Hashable]]
| Callable[..., Awaitable[Hashable | Sequence[Hashable]]]
| Runnable[Any, Hashable | Sequence[Hashable]],
path_map: dict[Hashable, str] | list[str] | None = None,
) -> Self:
"""Add a conditional edge from the starting node to any number of destination nodes.
@@ -710,9 +710,9 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
def set_conditional_entry_point(
self,
path: Callable[..., Hashable | list[Hashable]]
| Callable[..., Awaitable[Hashable | list[Hashable]]]
| Runnable[Any, Hashable | list[Hashable]],
path: Callable[..., Hashable | Sequence[Hashable]]
| Callable[..., Awaitable[Hashable | Sequence[Hashable]]]
| Runnable[Any, Hashable | Sequence[Hashable]],
path_map: dict[Hashable, str] | list[str] | None = None,
) -> Self:
"""Sets a conditional entry point in the graph.
@@ -1334,6 +1334,12 @@ def _get_channel(
def _get_channel(
name: str, annotation: Any, *, allow_managed: bool = True
) -> BaseChannel | ManagedValueSpec:
# Strip out Required and NotRequired wrappers
if hasattr(annotation, "__origin__") and annotation.__origin__ in (
Required,
NotRequired,
):
annotation = annotation.__args__[0]
if manager := _is_field_managed_value(name, annotation):
if allow_managed:
return manager
+3 -6
View File
@@ -194,15 +194,12 @@ def local_read(
for c, v in task.writes:
if c in select:
updated[c].append(v)
if fresh and updated:
if fresh:
# apply writes
local_channels: dict[str, BaseChannel] = {}
for k in channels:
if k in updated:
cc = channels[k].copy()
cc.update(updated[k])
else:
cc = channels[k]
cc = channels[k].copy()
cc.update(updated[k])
local_channels[k] = cc
# read fresh values
values = read_channels(local_channels, select)
@@ -29,6 +29,7 @@ def create_checkpoint(
step: int,
*,
id: str | None = None,
updated_channels: set[str] | None = None,
) -> Checkpoint:
"""Create a checkpoint for the given channels."""
ts = datetime.now(timezone.utc).isoformat()
@@ -49,6 +50,7 @@ def create_checkpoint(
channel_values=values,
channel_versions=checkpoint["channel_versions"],
versions_seen=checkpoint["versions_seen"],
updated_channels=None if updated_channels is None else sorted(updated_channels),
)
@@ -81,4 +83,5 @@ def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
channel_values=checkpoint["channel_values"].copy(),
channel_versions=checkpoint["channel_versions"].copy(),
versions_seen={k: v.copy() for k, v in checkpoint["versions_seen"].items()},
updated_channels=checkpoint.get("updated_channels", None),
)
+21 -6
View File
@@ -568,7 +568,9 @@ class PregelLoop:
if task := tasks.get(tid):
task.writes.append((k, v))
def _first(self, *, input_keys: str | Sequence[str]) -> set[str] | None:
def _first(
self, *, input_keys: str | Sequence[str], updated_channels: set[str] | None
) -> set[str] | None:
# resuming from previous checkpoint requires
# - finding a previous checkpoint
# - receiving None input (outer graph) or RESUMING flag (subgraph)
@@ -585,8 +587,6 @@ class PregelLoop:
),
)
)
# this can be set only when there are input_writes
updated_channels: set[str] | None = None
# map command to writes
if isinstance(self.input, Command):
@@ -614,13 +614,15 @@ class PregelLoop:
if null_writes := [
w[1:] for w in self.checkpoint_pending_writes if w[0] == NULL_TASK_ID
]:
apply_writes(
null_updated_channels = apply_writes(
self.checkpoint,
self.channels,
[PregelTaskWrites((), INPUT, null_writes, [])],
self.checkpointer_get_next_version,
self.trigger_to_nodes,
)
if updated_channels is not None:
updated_channels.update(null_updated_channels)
# proceed past previous checkpoint
if is_resuming:
self.checkpoint["versions_seen"].setdefault(INTERRUPT, {})
@@ -648,6 +650,7 @@ class PregelLoop:
store=None,
checkpointer=None,
manager=None,
updated_channels=updated_channels,
)
# apply input writes
updated_channels = apply_writes(
@@ -661,6 +664,7 @@ class PregelLoop:
self.trigger_to_nodes,
)
# save input checkpoint
self.updated_channels = updated_channels
self._put_checkpoint({"source": "input"})
elif CONFIG_KEY_RESUMING not in configurable:
raise EmptyInputError(f"Received no input for {input_keys}")
@@ -693,6 +697,7 @@ class PregelLoop:
self.channels if do_checkpoint else None,
self.step,
id=self.checkpoint["id"] if exiting else None,
updated_channels=self.updated_channels,
)
# bail if no checkpointer
if do_checkpoint and self._checkpointer_put_after_previous is not None:
@@ -1036,7 +1041,12 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
self.step = self.checkpoint_metadata["step"] + 1
self.stop = self.step + self.config["recursion_limit"] + 1
self.checkpoint_previous_versions = self.checkpoint["channel_versions"].copy()
self.updated_channels = self._first(input_keys=self.input_keys)
self.updated_channels = self._first(
input_keys=self.input_keys,
updated_channels=set(self.checkpoint.get("updated_channels")) # type: ignore[arg-type]
if self.checkpoint.get("updated_channels")
else None,
)
return self
@@ -1212,7 +1222,12 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
self.step = self.checkpoint_metadata["step"] + 1
self.stop = self.step + self.config["recursion_limit"] + 1
self.checkpoint_previous_versions = self.checkpoint["channel_versions"].copy()
self.updated_channels = self._first(input_keys=self.input_keys)
self.updated_channels = self._first(
input_keys=self.input_keys,
updated_channels=set(self.checkpoint.get("updated_channels")) # type: ignore[arg-type]
if self.checkpoint.get("updated_channels")
else None,
)
return self
+39 -4
View File
@@ -29,16 +29,51 @@ Meta = tuple[tuple[str, ...], dict[str, Any]]
class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
"""A callback handler that implements stream_mode=messages.
Collects messages from (1) chat model stream events and (2) node outputs."""
Collects messages from:
(1) chat model stream events; and
(2) node outputs.
"""
run_inline = True
"""We want this callback to run in the main thread, to avoid order/locking issues."""
"""We want this callback to run in the main thread to avoid order/locking issues."""
def __init__(self, stream: Callable[[StreamChunk], None], subgraphs: bool):
def __init__(
self,
stream: Callable[[StreamChunk], None],
subgraphs: bool,
*,
parent_ns: tuple[str, ...] | None = None,
) -> None:
"""Configure the handler to stream messages from LLMs and nodes.
Args:
stream: A callable that takes a StreamChunk and emits it.
subgraphs: Whether to emit messages from subgraphs.
parent_ns: The namespace where the handler was created.
We keep track of this namespace to allow calls to subgraphs that
were explicitly requested as a stream with `messages` mode
configured.
Example:
parent_ns is used to handle scenarios where the subgraph is explicitly
streamed with `stream_mode="messages"`.
```python
def parent_graph_node():
# This node is in the parent graph.
async for event in some_subgraph(..., stream_mode="messages"):
do something with event # <-- these events will be emitted
return ...
parent_graph.invoke(subgraphs=False)
```
"""
self.stream = stream
self.subgraphs = subgraphs
self.metadata: dict[UUID, Meta] = {}
self.seen: set[int | str] = set()
self.parent_ns = parent_ns
def _emit(self, meta: Meta, message: BaseMessage, *, dedupe: bool = False) -> None:
if dedupe and message.id in self.seen:
@@ -100,7 +135,7 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
ns = tuple(cast(str, metadata["langgraph_checkpoint_ns"]).split(NS_SEP))[
:-1
]
if not self.subgraphs and len(ns) > 0:
if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
return
if tags:
if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:
+14 -3
View File
@@ -11,7 +11,7 @@ from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
from dataclasses import is_dataclass
from functools import partial
from inspect import isclass
from typing import Any, Callable, Generic, Union, cast, get_type_hints
from typing import Any, Callable, Generic, Optional, Union, cast, get_type_hints
from uuid import UUID, uuid5
from langchain_core.globals import get_debug
@@ -2534,8 +2534,13 @@ class Pregel(
config[CONF][CONFIG_KEY_CHECKPOINT_NS] = recast_checkpoint_ns(ns)
# set up messages stream mode
if "messages" in stream_modes:
ns_ = cast(Optional[str], config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
run_manager.inheritable_handlers.append(
StreamMessagesHandler(stream.put, subgraphs)
StreamMessagesHandler(
stream.put,
subgraphs,
parent_ns=tuple(ns_.split(NS_SEP)) if ns_ else None,
)
)
# set up custom stream mode
@@ -2814,8 +2819,14 @@ class Pregel(
config[CONF][CONFIG_KEY_CHECKPOINT_NS] = recast_checkpoint_ns(ns)
# set up messages stream mode
if "messages" in stream_modes:
# namespace can be None in a root level graph?
ns_ = cast(Optional[str], config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
run_manager.inheritable_handlers.append(
StreamMessagesHandler(stream_put, subgraphs)
StreamMessagesHandler(
stream_put,
subgraphs,
parent_ns=tuple(ns_.split(NS_SEP)) if ns_ else None,
)
)
# set up custom stream mode
+76 -14
View File
@@ -25,9 +25,17 @@ from langgraph_sdk.client import (
get_client,
get_sync_client,
)
from langgraph_sdk.schema import Checkpoint, ThreadState
from langgraph_sdk.schema import Command as CommandSDK
from langgraph_sdk.schema import StreamMode as StreamModeSDK
from langgraph_sdk.schema import (
Checkpoint,
QueryParamTypes,
ThreadState,
)
from langgraph_sdk.schema import (
Command as CommandSDK,
)
from langgraph_sdk.schema import (
StreamMode as StreamModeSDK,
)
from typing_extensions import Self
from langgraph._internal._config import merge_configs
@@ -208,6 +216,8 @@ class RemoteGraph(PregelProtocol):
config: RunnableConfig | None = None,
*,
xray: int | bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> DrawableGraph:
"""Get graph by graph name.
@@ -226,6 +236,8 @@ class RemoteGraph(PregelProtocol):
graph = sync_client.assistants.get_graph(
assistant_id=self.assistant_id,
xray=xray,
headers=headers,
params=params,
)
return DrawableGraph(
nodes=self._get_drawable_nodes(graph),
@@ -237,6 +249,8 @@ class RemoteGraph(PregelProtocol):
config: RunnableConfig | None = None,
*,
xray: int | bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> DrawableGraph:
"""Get graph by graph name.
@@ -255,6 +269,8 @@ class RemoteGraph(PregelProtocol):
graph = await client.assistants.get_graph(
assistant_id=self.assistant_id,
xray=xray,
headers=headers,
params=params,
)
return DrawableGraph(
nodes=self._get_drawable_nodes(graph),
@@ -376,7 +392,12 @@ class RemoteGraph(PregelProtocol):
return sanitized
def get_state(
self, config: RunnableConfig, *, subgraphs: bool = False
self,
config: RunnableConfig,
*,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> StateSnapshot:
"""Get the state of a thread.
@@ -388,6 +409,8 @@ class RemoteGraph(PregelProtocol):
config: A `RunnableConfig` that includes `thread_id` in the
`configurable` field.
subgraphs: Include subgraphs in the state.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
Returns:
The latest state of the thread.
@@ -399,11 +422,18 @@ class RemoteGraph(PregelProtocol):
thread_id=merged_config["configurable"]["thread_id"],
checkpoint=self._get_checkpoint(merged_config),
subgraphs=subgraphs,
headers=headers,
params=params,
)
return self._create_state_snapshot(state)
async def aget_state(
self, config: RunnableConfig, *, subgraphs: bool = False
self,
config: RunnableConfig,
*,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> StateSnapshot:
"""Get the state of a thread.
@@ -415,6 +445,8 @@ class RemoteGraph(PregelProtocol):
config: A `RunnableConfig` that includes `thread_id` in the
`configurable` field.
subgraphs: Include subgraphs in the state.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
Returns:
The latest state of the thread.
@@ -426,6 +458,8 @@ class RemoteGraph(PregelProtocol):
thread_id=merged_config["configurable"]["thread_id"],
checkpoint=self._get_checkpoint(merged_config),
subgraphs=subgraphs,
headers=headers,
params=params,
)
return self._create_state_snapshot(state)
@@ -436,6 +470,8 @@ class RemoteGraph(PregelProtocol):
filter: dict[str, Any] | None = None,
before: RunnableConfig | None = None,
limit: int | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> Iterator[StateSnapshot]:
"""Get the state history of a thread.
@@ -460,6 +496,8 @@ class RemoteGraph(PregelProtocol):
before=self._get_checkpoint(before),
metadata=filter,
checkpoint=self._get_checkpoint(merged_config),
headers=headers,
params=params,
)
for state in states:
yield self._create_state_snapshot(state)
@@ -471,6 +509,8 @@ class RemoteGraph(PregelProtocol):
filter: dict[str, Any] | None = None,
before: RunnableConfig | None = None,
limit: int | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> AsyncIterator[StateSnapshot]:
"""Get the state history of a thread.
@@ -482,6 +522,8 @@ class RemoteGraph(PregelProtocol):
filter: Metadata to filter on.
before: A `RunnableConfig` that includes checkpoint metadata.
limit: Max number of states to return.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
Returns:
States of the thread.
@@ -495,6 +537,8 @@ class RemoteGraph(PregelProtocol):
before=self._get_checkpoint(before),
metadata=filter,
checkpoint=self._get_checkpoint(merged_config),
headers=headers,
params=params,
)
for state in states:
yield self._create_state_snapshot(state)
@@ -518,6 +562,9 @@ class RemoteGraph(PregelProtocol):
config: RunnableConfig,
values: dict[str, Any] | Any | None,
as_node: str | None = None,
*,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> RunnableConfig:
"""Update the state of a thread.
@@ -540,6 +587,8 @@ class RemoteGraph(PregelProtocol):
values=values,
as_node=as_node,
checkpoint=self._get_checkpoint(merged_config),
headers=headers,
params=params,
)
return self._get_config(response["checkpoint"])
@@ -548,6 +597,9 @@ class RemoteGraph(PregelProtocol):
config: RunnableConfig,
values: dict[str, Any] | Any | None,
as_node: str | None = None,
*,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> RunnableConfig:
"""Update the state of a thread.
@@ -570,6 +622,8 @@ class RemoteGraph(PregelProtocol):
values=values,
as_node=as_node,
checkpoint=self._get_checkpoint(merged_config),
headers=headers,
params=params,
)
return self._get_config(response["checkpoint"])
@@ -634,6 +688,7 @@ class RemoteGraph(PregelProtocol):
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
**kwargs: Any,
) -> Iterator[dict[str, Any] | Any]:
"""Create a run and stream the results.
@@ -678,9 +733,10 @@ class RemoteGraph(PregelProtocol):
interrupt_after=interrupt_after,
stream_subgraphs=subgraphs or stream is not None,
if_not_exists="create",
headers=_merge_tracing_headers(headers)
if self.distributed_tracing
else headers,
headers=(
_merge_tracing_headers(headers) if self.distributed_tracing else headers
),
params=params,
**kwargs,
):
# split mode and ns
@@ -741,6 +797,7 @@ class RemoteGraph(PregelProtocol):
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
**kwargs: Any,
) -> AsyncIterator[dict[str, Any] | Any]:
"""Create a run and stream the results.
@@ -785,9 +842,10 @@ class RemoteGraph(PregelProtocol):
interrupt_after=interrupt_after,
stream_subgraphs=subgraphs or stream is not None,
if_not_exists="create",
headers=_merge_tracing_headers(headers)
if self.distributed_tracing
else headers,
headers=(
_merge_tracing_headers(headers) if self.distributed_tracing else headers
),
params=params,
**kwargs,
):
# split mode and ns
@@ -862,6 +920,7 @@ class RemoteGraph(PregelProtocol):
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
**kwargs: Any,
) -> dict[str, Any] | Any:
"""Create a run, wait until it finishes and return the final state.
@@ -884,6 +943,7 @@ class RemoteGraph(PregelProtocol):
interrupt_after=interrupt_after,
headers=headers,
stream_mode="values",
params=params,
**kwargs,
):
pass
@@ -900,6 +960,7 @@ class RemoteGraph(PregelProtocol):
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
**kwargs: Any,
) -> dict[str, Any] | Any:
"""Create a run, wait until it finishes and return the final state.
@@ -922,6 +983,7 @@ class RemoteGraph(PregelProtocol):
interrupt_after=interrupt_after,
headers=headers,
stream_mode="values",
params=params,
**kwargs,
):
pass
@@ -934,11 +996,11 @@ class RemoteGraph(PregelProtocol):
def _merge_tracing_headers(headers: dict[str, str] | None) -> dict[str, str] | None:
if rt := ls.get_current_run_tree():
tracing_headers = rt.to_headers()
baggage = tracing_headers.pop("baggage")
if headers:
if "baggage" in headers:
baggage = headers["baggage"] + "," + baggage
tracing_headers["baggage"] = baggage
tracing_headers["baggage"] = (
f"{headers['baggage']},{tracing_headers['baggage']}"
)
headers.update(tracing_headers)
else:
headers = tracing_headers
+1
View File
@@ -507,6 +507,7 @@ def interrupt(value: Any) -> Any:
# find previous resume values
if scratchpad.resume:
if idx < len(scratchpad.resume):
conf[CONFIG_KEY_SEND]([(RESUME, scratchpad.resume)])
return scratchpad.resume[idx]
# find current resume value
v = scratchpad.get_null_resume(True)
+3 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "0.6.3"
version = "0.6.7"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.9"
@@ -14,7 +14,7 @@ license-files = ['LICENSE']
dependencies = [
"langchain-core>=0.1",
"langgraph-checkpoint>=2.1.0,<3.0.0",
"langgraph-sdk>=0.2.0,<0.3.0",
"langgraph-sdk>=0.2.2,<0.3.0",
"langgraph-prebuilt>=0.6.0,<0.7.0",
"xxhash>=3.5.0",
"pydantic>=2.7.4",
@@ -49,6 +49,7 @@ dev = [
"types-requests",
"pycryptodome",
"langgraph-cli[inmem]",
"redis",
]
[tool.uv]
+169
View File
@@ -0,0 +1,169 @@
"""
Test script to demonstrate versions_seen in StateGraph
Graph structure:
nodeA -> nodeB + nodeC -> nodeD
State:
fieldA: str
fieldB: str
"""
from typing import TypedDict
from langgraph.graph import StateGraph, START, END
from langgraph.checkpoint.memory import InMemorySaver
from pprint import pprint
import json
class State(TypedDict):
fieldA: str
fieldB: str
class StateOnlyA(TypedDict):
"""Input schema for nodeB - only reads fieldA"""
fieldA: str
class StateOnlyB(TypedDict):
"""Input schema for nodeC - only reads fieldB"""
fieldB: str
def nodeA(state: State) -> dict:
"""Reads fieldA + fieldB"""
print(f" [nodeA] Reading: fieldA='{state['fieldA']}', fieldB='{state['fieldB']}'")
return {"fieldA": state["fieldA"] + "->A", "fieldB": state["fieldB"] + "->A"}
def nodeB(state: StateOnlyA) -> dict:
"""Reads only fieldA"""
print(f" [nodeB] Reading: fieldA='{state['fieldA']}'")
return {"fieldA": state["fieldA"] + "->B"}
def nodeC(state: StateOnlyB) -> dict:
"""Reads only fieldB"""
print(f" [nodeC] Reading: fieldB='{state['fieldB']}'")
return {"fieldB": state["fieldB"] + "->C"}
def nodeD(state: State) -> dict:
"""Reads fieldA + fieldB"""
print(f" [nodeD] Reading: fieldA='{state['fieldA']}', fieldB='{state['fieldB']}'")
return {"fieldA": state["fieldA"] + "->D", "fieldB": state["fieldB"] + "->D"}
# Build the graph
graph = StateGraph(State)
graph.add_node("nodeA", nodeA) # reads fieldA + fieldB (default: full state)
graph.add_node("nodeB", nodeB, input_schema=StateOnlyA) # reads only fieldA
graph.add_node("nodeC", nodeC, input_schema=StateOnlyB) # reads only fieldB
graph.add_node("nodeD", nodeD) # reads fieldA + fieldB (default: full state)
graph.add_edge(START, "nodeA")
graph.add_edge("nodeA", "nodeB")
graph.add_edge("nodeA", "nodeC")
graph.add_edge(["nodeB", "nodeC"], "nodeD")
graph.add_edge("nodeD", END)
# Compile with checkpointer
checkpointer = InMemorySaver()
app = graph.compile(checkpointer=checkpointer)
# Print compiled graph info
print("=" * 60)
print("COMPILED GRAPH INFO")
print("=" * 60)
print("\nChannels created:")
for name, channel in app.channels.items():
print(f" - {name}: {type(channel).__name__}")
print("\nNodes with their triggers and channels:")
for name, node in app.nodes.items():
print(f" - {name}:")
print(f" triggers: {node.triggers}")
print(f" channels: {node.channels}")
# Run the graph
print("\n" + "=" * 60)
print("EXECUTION")
print("=" * 60)
config = {"configurable": {"thread_id": "test-1"}}
input_state = {"fieldA": "Hello", "fieldB": "World"}
print(f"\nInput: {input_state}\n")
# Run the graph to completion
result = app.invoke(input_state, config)
print(f"Final result: {result}\n")
# Now use get_state_history to get all checkpoints in order
print("=" * 60)
print("CHECKPOINT HISTORY (using get_state_history)")
print("=" * 60)
# get_state_history returns checkpoints in reverse order (newest first)
history = list(app.get_state_history(config))
history.reverse() # Reverse to get oldest first
for idx, state_snapshot in enumerate(history):
metadata = state_snapshot.metadata
print(f"\n{'='*60}")
print(f"Step {metadata.get('step', '?')} - Source: {metadata.get('source', '?')}")
print(f"{'='*60}")
# Show which node(s) wrote this checkpoint
if "writes" in metadata and metadata["writes"]:
print(f"Writes by: {list(metadata['writes'].keys())}")
print(f"\nState values: {state_snapshot.values}")
# Access the actual checkpoint data
checkpoint_tuple = checkpointer.get_tuple(state_snapshot.config)
if checkpoint_tuple:
cp = checkpoint_tuple.checkpoint
# Helper to simplify version string
def simplify_version(ver):
return str(ver).split(".")[0][-2:] if "." in str(ver) else str(ver)
# Pretty print checkpoint with simplified versions
print("\nCheckpoint (raw):")
print(f" v: {cp['v']}")
print(f" id: {cp['id'][:20]}...")
print(f" ts: {cp['ts']}")
print(f" updated_channels: {cp.get('updated_channels')}")
print(f"\n channel_values:")
for ch, val in sorted(cp["channel_values"].items()):
val_str = str(val)[:50] + "..." if len(str(val)) > 50 else str(val)
print(f" {ch}: {val_str}")
print(f"\n channel_versions:")
for ch, ver in sorted(cp["channel_versions"].items()):
print(f" {ch}: v{simplify_version(ver)}")
print(f"\n versions_seen:")
for node_name, seen in sorted(cp["versions_seen"].items()):
if seen:
print(f" {node_name}:")
for ch, ver in sorted(seen.items()):
print(f" {ch}: v{simplify_version(ver)}")
else:
print(f" {node_name}: {{}}")
print("\n" + "=" * 60)
print("SUMMARY")
print("=" * 60)
print("""
Key observations:
1. versions_seen only records TRIGGER channels (branch:to:*, join:*)
2. State channels (fieldA, fieldB) are NEVER in versions_seen
3. Each node only records the trigger channel that activated it
""")
+16
View File
@@ -0,0 +1,16 @@
name: langgraph-tests
services:
redis-test:
image: redis:7-alpine
ports:
- "6379:6379"
command: redis-server --maxmemory 256mb --maxmemory-policy allkeys-lru
healthcheck:
test: redis-cli ping
start_period: 10s
timeout: 1s
retries: 5
interval: 5s
start_interval: 1s
tmpfs:
- /data # Use tmpfs for faster testing
+25 -1
View File
@@ -3,10 +3,12 @@ from collections.abc import AsyncIterator, Iterator
from uuid import UUID
import pytest
import redis
from pytest_mock import MockerFixture
from langgraph.cache.base import BaseCache
from langgraph.cache.memory import InMemoryCache
from langgraph.cache.redis import RedisCache
from langgraph.cache.sqlite import SqliteCache
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.store.base import BaseStore
@@ -55,12 +57,34 @@ def durability(request: pytest.FixtureRequest) -> Durability:
return request.param
@pytest.fixture(scope="function", params=["sqlite", "memory"])
@pytest.fixture(
scope="function",
params=["sqlite", "memory"] if NO_DOCKER else ["sqlite", "memory", "redis"],
)
def cache(request: pytest.FixtureRequest) -> Iterator[BaseCache]:
if request.param == "sqlite":
yield SqliteCache(path=":memory:")
elif request.param == "memory":
yield InMemoryCache()
elif request.param == "redis":
# Get worker ID for parallel test isolation
worker_id = getattr(request.config, "workerinput", {}).get("workerid", "master")
redis_client = redis.Redis(
host="localhost", port=6379, db=0, decode_responses=False
)
# Use worker-specific prefix to avoid cache pollution between parallel tests
cache = RedisCache(redis_client, prefix=f"test:cache:{worker_id}:")
yield cache
try:
# Only clear keys with our specific prefix
pattern = f"test:cache:{worker_id}:*"
keys = redis_client.keys(pattern)
if keys:
redis_client.delete(*keys)
except Exception:
pass
else:
raise ValueError(f"Unknown cache type: {request.param}")
@@ -330,6 +330,7 @@ SAVED_CHECKPOINTS = {
"docs": ["doc1", "doc2", "doc3", "doc4"],
"answer": "doc1,doc2,doc3,doc4",
},
"updated_channels": None,
},
metadata={
"source": "loop",
@@ -390,6 +391,7 @@ SAVED_CHECKPOINTS = {
"docs": ["doc1", "doc2", "doc3", "doc4"],
"branch:to:qa": None,
},
"updated_channels": None,
},
metadata={
"source": "loop",
@@ -465,6 +467,7 @@ SAVED_CHECKPOINTS = {
"branch:to:retriever_one": None,
"docs": ["doc3", "doc4"],
},
"updated_channels": None,
},
metadata={
"source": "loop",
@@ -516,6 +519,7 @@ SAVED_CHECKPOINTS = {
"branch:to:analyzer_one": None,
"branch:to:retriever_two": None,
},
"updated_channels": None,
},
metadata={
"source": "loop",
@@ -570,6 +574,7 @@ SAVED_CHECKPOINTS = {
"query": "what is weather in sf",
"branch:to:rewrite_query": None,
},
"updated_channels": None,
},
metadata={
"source": "loop",
@@ -618,6 +623,7 @@ SAVED_CHECKPOINTS = {
},
"versions_seen": {"__input__": {}},
"channel_values": {"__start__": {"query": "what is weather in sf"}},
"updated_channels": None,
},
metadata={
"source": "input",
+219 -7
View File
@@ -27,7 +27,7 @@ from langsmith import traceable
from pydantic import BaseModel, ConfigDict, Field, ValidationError
from pytest_mock import MockerFixture
from syrupy import SnapshotAssertion
from typing_extensions import TypedDict
from typing_extensions import NotRequired, TypedDict
from langgraph._internal._constants import CONFIG_KEY_NODE_FINISHED, ERROR, PULL
from langgraph.cache.base import BaseCache
@@ -79,9 +79,151 @@ from tests.messages import (
pytestmark = pytest.mark.anyio
def pregel_pretty(data):
"""Pretty print pregel nodes, channels, or graph with nice formatting."""
if not data:
return "Empty"
# Check if this is a graph object
if hasattr(data, 'nodes') and hasattr(data, 'channels'):
# This is a graph object, show comprehensive info
result = []
# Show nodes
result.append("="*50)
result.append("🔗 GRAPH NODES")
result.append("="*50)
for name, node in data.nodes.items():
node_type = type(node).__name__
result.append(f" 📍 {name:<12} → {node_type}")
# Show channels
result.append("\n" + "="*50)
result.append("📡 GRAPH CHANNELS")
result.append("="*50)
for name, channel in data.channels.items():
channel_type = type(channel).__name__
if name in ['hello', 'messages']:
result.append(f" 🎯 {name:<20} → {channel_type} (user defined)")
elif name.startswith('branch:'):
result.append(f" 🌿 {name:<20} → {channel_type} (branch)")
else:
result.append(f" ⚙️ {name:<20} → {channel_type} (system)")
# Show graph structure
result.append("\n" + "="*50)
result.append("🏗️ GRAPH STRUCTURE")
result.append("="*50)
try:
graph_info = data.get_graph()
result.append(f" Nodes: {len(graph_info.nodes)}")
result.append(f" Edges: {len(graph_info.edges)}")
result.append("\n 📊 Execution Flow:")
for edge in graph_info.edges:
arrow = " ├─" if edge != graph_info.edges[-1] else " └─"
result.append(f"{arrow} {edge.source} → {edge.target}")
except Exception as e:
result.append(f" Could not get graph structure: {e}")
result.append("="*50)
return "\n".join(result)
# Check if this is nodes or channels dict
first_key, first_value = next(iter(data.items()))
# Detect if this is nodes or channels
is_nodes = hasattr(first_value, '__class__') and 'Node' in first_value.__class__.__name__
is_channels = hasattr(first_value, '__class__') and ('Channel' in first_value.__class__.__name__ or
'Value' in first_value.__class__.__name__ or
'Topic' in first_value.__class__.__name__ or
'Aggregate' in first_value.__class__.__name__)
result = []
if is_nodes:
result.append("="*50)
result.append("🔗 GRAPH NODES")
result.append("="*50)
for name, node in data.items():
node_type = type(node).__name__
result.append(f" 📍 {name:<12} → {node_type}")
elif is_channels:
result.append("="*50)
result.append("📡 GRAPH CHANNELS")
result.append("="*50)
for name, channel in data.items():
channel_type = type(channel).__name__
if name in ['hello', 'messages']:
result.append(f" 🎯 {name:<20} → {channel_type} (user defined)")
elif name.startswith('branch:'):
result.append(f" 🌿 {name:<20} → {channel_type} (branch)")
else:
result.append(f" ⚙️ {name:<20} → {channel_type} (system)")
else:
# Fallback for unknown data types
result.append("="*50)
result.append("🔍 UNKNOWN DATA TYPE")
result.append("="*50)
for name, item in data.items():
item_type = type(item).__name__
result.append(f" ❓ {name:<20} → {item_type}")
result.append("="*50)
return "\n".join(result)
logger = logging.getLogger(__name__)
def test_parallel_nodes() -> None:
class State(TypedDict):
hello: str
messages: Annotated[list[str], add_messages]
def node_a(state: State) -> State:
return {"hello": "world-a", "messages": [_AnyIdHumanMessage(content="hello-a")]}
def node_b(state: State) -> State:
return {"messages": [_AnyIdHumanMessage(content="hello-b")]}
def node_c(state: State) -> State:
return {"messages": [_AnyIdHumanMessage(content="hello-c")]}
def node_d(state: State) -> State:
return {"hello": "world-d", "messages": [_AnyIdHumanMessage(content="hello-d")]}
builder = StateGraph(State)
builder.add_node("a", node_a)
builder.add_node("b", node_b)
builder.add_node("c", node_c)
builder.add_node("d", node_d)
builder.set_entry_point("a")
builder.add_edge("a", "b")
builder.add_edge("a", "c")
builder.add_edge("b", "d")
builder.add_edge("c", "d")
builder.add_edge("d", END)
graph = builder.compile()
print("\n======COMPLETE GRAPH======\n", pregel_pretty(graph))
print(f"\n🔍 CHANNEL CONFIGURATION:")
print(f" 📤 output_channels: {graph.output_channels}")
print(f" 📡 stream_channels: {graph.stream_channels}")
print(f" 📥 input_channels: {graph.input_channels}")
print(f" 🌊 stream_channels_asis: {graph.stream_channels_asis}")
print(f" 📋 stream_channels_list: {graph.stream_channels_list}")
result = graph.invoke({"hello": "there"})
assert result["hello"] == "world-d"
# Only the final message from node_d should be in the result
# because each node overwrites the messages field completely
assert len(result["messages"]) == 1
assert result["messages"][0].content == "hello-d"
def test_graph_validation() -> None:
class State(TypedDict):
hello: str
@@ -968,6 +1110,7 @@ def test_pending_writes_resume(
"branch:to:two": AnyVersion(),
},
"channel_values": {"value": 6},
"updated_channels": ["value"],
},
metadata={
"parents": {},
@@ -1015,6 +1158,7 @@ def test_pending_writes_resume(
"branch:to:one": None,
"branch:to:two": None,
},
"updated_channels": ["branch:to:one", "branch:to:two", "value"],
},
metadata={
"parents": {},
@@ -1066,6 +1210,7 @@ def test_pending_writes_resume(
"__start__": AnyVersion(),
},
"channel_values": {"__start__": {"value": 1}},
"updated_channels": ["__start__"],
},
metadata={
"parents": {},
@@ -4802,7 +4947,10 @@ def test_interrupt_subgraph(sync_checkpointer: BaseCheckpointSaver):
assert graph.invoke(Command(resume="bar"), thread1)
def test_interrupt_multiple(sync_checkpointer: BaseCheckpointSaver):
@pytest.mark.parametrize("resume_style", ["null", "map"])
def test_interrupt_multiple(
sync_checkpointer: BaseCheckpointSaver, resume_style: Literal["null", "map"]
):
class State(TypedDict):
my_key: Annotated[str, operator.add]
@@ -4818,7 +4966,8 @@ def test_interrupt_multiple(sync_checkpointer: BaseCheckpointSaver):
graph = builder.compile(checkpointer=sync_checkpointer)
thread1 = {"configurable": {"thread_id": "1"}}
assert [e for e in graph.stream({"my_key": "DE", "market": "DE"}, thread1)] == [
result = [e for e in graph.stream({"my_key": "DE", "market": "DE"}, thread1)]
assert result == [
{
"__interrupt__": (
Interrupt(
@@ -4829,12 +4978,19 @@ def test_interrupt_multiple(sync_checkpointer: BaseCheckpointSaver):
}
]
assert [
result = [
event
for event in graph.stream(
Command(resume="answer 1", update={"my_key": " foofoo "}), thread1
Command(
resume="answer 1"
if resume_style == "null"
else {result[0]["__interrupt__"][0].id: "answer 1"},
update={"my_key": " foofoo "},
),
thread1,
)
] == [
]
assert result == [
{
"__interrupt__": (
Interrupt(
@@ -4848,7 +5004,13 @@ def test_interrupt_multiple(sync_checkpointer: BaseCheckpointSaver):
assert [
event
for event in graph.stream(
Command(resume="answer 2"), thread1, stream_mode="values"
Command(
resume="answer 2"
if resume_style == "null"
else {result[0]["__interrupt__"][0].id: "answer 2"}
),
thread1,
stream_mode="values",
)
] == [
{"my_key": "DE foofoo "},
@@ -8263,3 +8425,53 @@ def test_fork_and_update_task_results(sync_checkpointer: BaseCheckpointSaver) ->
],
],
]
def test_subgraph_streaming_sync() -> None:
"""Test subgraph streaming when used as a node in sync version"""
# Create a fake chat model that returns a simple response
model = GenericFakeChatModel(messages=iter(["The weather is sunny today."]))
# Create a subgraph that uses the fake chat model
def call_model_node(state: MessagesState, config: RunnableConfig) -> MessagesState:
"""Node that calls the model with the last message."""
messages = state["messages"]
last_message = messages[-1].content if messages else ""
response = model.invoke([("user", last_message)], config)
return {"messages": [response]}
# Build the subgraph
subgraph = StateGraph(MessagesState)
subgraph.add_node("call_model", call_model_node)
subgraph.add_edge(START, "call_model")
compiled_subgraph = subgraph.compile()
class SomeCustomState(TypedDict):
last_chunk: NotRequired[str]
num_chunks: NotRequired[int]
# Will invoke a subgraph as a function
def parent_node(state: SomeCustomState, config: RunnableConfig) -> dict:
"""Node that runs the subgraph."""
msgs = {"messages": [("user", "What is the weather in Tokyo?")]}
events = []
for event in compiled_subgraph.stream(msgs, config, stream_mode="messages"):
events.append(event)
ai_msg_chunks = [ai_msg_chunk for ai_msg_chunk, _ in events]
return {
"last_chunk": ai_msg_chunks[-1],
"num_chunks": len(ai_msg_chunks),
}
# Build the main workflow
workflow = StateGraph(SomeCustomState)
workflow.add_node("subgraph", parent_node)
workflow.add_edge(START, "subgraph")
compiled_workflow = workflow.compile()
# Test the basic functionality
result = compiled_workflow.invoke({})
assert result["last_chunk"].content == "today."
assert result["num_chunks"] == 9
+58 -1
View File
@@ -26,7 +26,7 @@ from langchain_core.utils.aiter import aclosing
from pydantic import BaseModel, ConfigDict, Field, ValidationError
from pytest_mock import MockerFixture
from syrupy import SnapshotAssertion
from typing_extensions import TypedDict
from typing_extensions import NotRequired, TypedDict
from langgraph._internal._constants import CONFIG_KEY_NODE_FINISHED, ERROR, PULL
from langgraph.cache.base import BaseCache
@@ -1908,6 +1908,7 @@ async def test_pending_writes_resume(
"branch:to:two": AnyVersion(),
},
"channel_values": {"value": 6},
"updated_channels": ["value"],
},
metadata={
"parents": {},
@@ -1955,6 +1956,7 @@ async def test_pending_writes_resume(
"branch:to:one": None,
"branch:to:two": None,
},
"updated_channels": ["branch:to:one", "branch:to:two", "value"],
},
metadata={
"parents": {},
@@ -2002,6 +2004,7 @@ async def test_pending_writes_resume(
"__start__": AnyVersion(),
},
"channel_values": {"__start__": {"value": 1}},
"updated_channels": ["__start__"],
},
metadata={
"parents": {},
@@ -9050,3 +9053,57 @@ async def test_fork_and_update_task_results(
],
],
]
async def test_subgraph_streaming_async() -> None:
"""Test subgraph streaming when used as a node in async version"""
# Create a fake chat model that returns a simple response
model = GenericFakeChatModel(messages=iter(["The weather is sunny today."]))
# Create a subgraph that uses the fake chat model
async def call_model_node(
state: MessagesState, config: RunnableConfig
) -> MessagesState:
"""Node that calls the model with the last message."""
messages = state["messages"]
last_message = messages[-1].content if messages else ""
response = await model.ainvoke([("user", last_message)], config)
return {"messages": [response]}
# Build the subgraph
subgraph = StateGraph(MessagesState)
subgraph.add_node("call_model", call_model_node)
subgraph.add_edge(START, "call_model")
compiled_subgraph = subgraph.compile()
class SomeCustomState(TypedDict):
last_chunk: NotRequired[str]
num_chunks: NotRequired[int]
# Will invoke a subgraph as a function
async def parent_node(state: SomeCustomState, config: RunnableConfig) -> dict:
"""Node that runs the subgraph."""
msgs = {"messages": [("user", "What is the weather in Tokyo?")]}
events = []
async for event in compiled_subgraph.astream(
msgs, config, stream_mode="messages"
):
events.append(event)
ai_msg_chunks = [ai_msg_chunk for ai_msg_chunk, _ in events]
return {
"last_chunk": ai_msg_chunks[-1],
"num_chunks": len(ai_msg_chunks),
}
# Build the main workflow
workflow = StateGraph(SomeCustomState)
workflow.add_node("subgraph", parent_node)
workflow.add_edge(START, "subgraph")
compiled_workflow = workflow.compile()
# Test the basic functionality
result = await compiled_workflow.ainvoke({})
assert result["last_chunk"].content == "today."
assert result["num_chunks"] == 9
+13 -8
View File
@@ -1,6 +1,6 @@
import re
import sys
from typing import Annotated, Union
from typing import Annotated, Optional, Union
from unittest.mock import AsyncMock, MagicMock
import langsmith as ls
@@ -1183,7 +1183,10 @@ async def test_remote_graph_stream_messages_tuple(
@pytest.mark.anyio
@pytest.mark.parametrize("distributed_tracing", [False, True])
@pytest.mark.parametrize("stream", [False, True])
async def test_include_headers(distributed_tracing: bool, stream: bool):
@pytest.mark.parametrize("headers", [None, {"foo": "bar"}])
async def test_include_headers(
distributed_tracing: bool, stream: bool, headers: Optional[dict[str, str]]
):
mock_async_client = MagicMock()
async_iter = MagicMock()
return_value = [
@@ -1213,7 +1216,7 @@ async def test_include_headers(distributed_tracing: bool, stream: bool):
async for _ in remote_pregel.astream(
{"input": {"messages": [{"type": "human", "content": "hello"}]}},
config,
headers={"foo": "bar"},
headers=headers,
):
pass
@@ -1221,12 +1224,14 @@ async def test_include_headers(distributed_tracing: bool, stream: bool):
await remote_pregel.ainvoke(
{"input": {"messages": [{"type": "human", "content": "hello"}]}},
config,
headers={"foo": "bar"},
headers=headers,
)
expected = {"foo": "bar"}
expected = headers.copy() if headers else None
if distributed_tracing:
if expected is None:
expected = {}
expected["langsmith-trace"] = AnyStr()
expected["baggage"] = AnyStr()
expected["baggage"] = AnyStr("langsmith-metadata=")
assert astream_mock.call_args.kwargs["headers"] == expected
stream_mock.assert_not_called()
@@ -1237,7 +1242,7 @@ async def test_include_headers(distributed_tracing: bool, stream: bool):
for _ in remote_pregel.stream(
{"input": {"messages": [{"type": "human", "content": "hello"}]}},
config,
headers={"foo": "bar"},
headers=headers,
):
pass
@@ -1245,6 +1250,6 @@ async def test_include_headers(distributed_tracing: bool, stream: bool):
remote_pregel.invoke(
{"input": {"messages": [{"type": "human", "content": "hello"}]}},
config,
headers={"foo": "bar"},
headers=headers,
)
assert stream_mock.call_args.kwargs["headers"] == expected
+4 -1
View File
@@ -10,6 +10,7 @@ from langchain_core.runnables import RunnableConfig
from pydantic import BaseModel
from typing_extensions import NotRequired, Required, TypedDict
from langgraph.channels.binop import BinaryOperatorAggregate
from langgraph.graph.state import StateGraph, _get_node_name, _warn_invalid_state_schema
@@ -137,7 +138,7 @@ def test_state_schema_optional_values(total_: bool):
class InputState(SomeParentState, total=total_): # type: ignore
val1: str
val2: Optional[str]
val3: Required[str]
val3: Required[Annotated[dict, operator.or_]]
val4: NotRequired[dict]
val5: Annotated[Required[str], "foo"]
val6: Annotated[NotRequired[str], "bar"]
@@ -159,6 +160,8 @@ def test_state_schema_optional_values(total_: bool):
graph = builder.compile()
json_schema = graph.get_input_jsonschema()
assert isinstance(graph.channels["val3"], BinaryOperatorAggregate)
if total_ is False:
expected_required = set()
expected_optional = {"val2", "val1"}
+863 -695
View File
File diff suppressed because it is too large Load Diff
+424
View File
@@ -0,0 +1,424 @@
# Understanding `versions_seen` in LangGraph Checkpoints
## Overview
`versions_seen` is a nested dictionary in the checkpoint that tracks which channel versions each node has processed. It's defined in `libs/checkpoint/langgraph/checkpoint/base/__init__.py`:
```python
versions_seen: dict[str, ChannelVersions]
"""Map from node ID to map from channel name to version seen.
This keeps track of the versions of the channels that each node has seen.
Used to determine which nodes to execute next.
"""
```
## Data Structure
```
versions_seen = {
"node_name": {
"channel_name": version,
...
},
...
}
```
## Key Point
**`versions_seen` only records trigger channels, NOT state channels!**
In StateGraph:
- `triggers` = edge control channels like `branch:to:nodeA`
- `channels` = state keys like `fieldA`, `fieldB`
So `versions_seen` records `branch:to:*` channels, **NOT** `fieldA` or `fieldB`.
---
## Example Graph
```
┌──────────┐
│ nodeA │
└────┬─────┘
│
┌──────┴──────┐
▼ ▼
┌──────────┐ ┌──────────┐
│ nodeB │ │ nodeC │
└────┬─────┘ └────┬─────┘
│ │
└──────┬──────┘
▼
┌──────────┐
│ nodeD │
└──────────┘
```
### State Definition
```python
class State(TypedDict):
fieldA: str
fieldB: str
class StateOnlyA(TypedDict):
"""Input schema for nodeB - only reads fieldA"""
fieldA: str
class StateOnlyB(TypedDict):
"""Input schema for nodeC - only reads fieldB"""
fieldB: str
```
---
## Compiled Graph Structure
### Channels Created
| Channel | Type | Purpose |
|---------|------|---------|
| `fieldA` | LastValue | State data |
| `fieldB` | LastValue | State data |
| `__start__` | EphemeralValue | Input channel |
| `branch:to:nodeA` | EphemeralValue | Edge control channel |
| `branch:to:nodeB` | EphemeralValue | Edge control channel |
| `branch:to:nodeC` | EphemeralValue | Edge control channel |
| `branch:to:nodeD` | EphemeralValue | Edge control channel |
| `join:nodeB+nodeC:nodeD` | NamedBarrierValue | Parallel join channel |
### Nodes Configuration
| Node | triggers | channels | Note |
|------|----------|----------|------|
| `__start__` | `["__start__"]` | `"__start__"` | Input node |
| `nodeA` | `["branch:to:nodeA"]` | `["fieldA", "fieldB"]` | Reads full state |
| `nodeB` | `["branch:to:nodeB"]` | `["fieldA"]` | Only reads fieldA (via `input_schema=StateOnlyA`) |
| `nodeC` | `["branch:to:nodeC"]` | `["fieldB"]` | Only reads fieldB (via `input_schema=StateOnlyB`) |
| `nodeD` | `["branch:to:nodeD", "join:nodeB+nodeC:nodeD"]` | `["fieldA", "fieldB"]` | Reads full state |
**Note**: `triggers` are edge control channels, `channels` are state fields the node reads. Use `input_schema` to control which fields a node reads.
---
## Step-by-Step Execution
### Input
```python
{"fieldA": "Hello", "fieldB": "World"}
```
---
### Step -1: Input Phase (source: input)
```
State values: {}
channel_versions:
__start__: v01
versions_seen:
__input__: {}
```
Initial checkpoint when input is received.
---
### Step 0: `__start__` executes (source: loop)
```
State values: {'fieldA': 'Hello', 'fieldB': 'World'}
channel_versions:
__start__: v02
branch:to:nodeA: v02
fieldA: v02
fieldB: v02
versions_seen:
__input__: {}
__start__:
__start__: v01 ← __start__ node saw __start__ channel
```
**Note**: `fieldA` and `fieldB` are NOT in `versions_seen`!
---
### Step 1: nodeA executes (source: loop)
```
nodeA reads: fieldA='Hello', fieldB='World'
State values: {'fieldA': 'Hello->A', 'fieldB': 'World->A'}
channel_versions:
__start__: v02
branch:to:nodeA: v03
branch:to:nodeB: v03
branch:to:nodeC: v03
fieldA: v03
fieldB: v03
versions_seen:
__input__: {}
__start__:
__start__: v01
nodeA:
branch:to:nodeA: v02 ← nodeA saw its trigger
```
**Key observation**:
- `nodeA`'s `versions_seen` only records `branch:to:nodeA`
- **NO** `fieldA` or `fieldB` because they are NOT triggers!
---
### Step 2: nodeB and nodeC execute in parallel (source: loop)
```
nodeB reads: fieldA='Hello->A'
nodeC reads: fieldB='World->A'
State values: {'fieldA': 'Hello->A->B', 'fieldB': 'World->A->C'}
channel_versions:
__start__: v02
branch:to:nodeA: v03
branch:to:nodeB: v04
branch:to:nodeC: v04
fieldA: v04
fieldB: v04
join:nodeB+nodeC:nodeD: v04
versions_seen:
__input__: {}
__start__:
__start__: v01
nodeA:
branch:to:nodeA: v02
nodeB:
branch:to:nodeB: v03 ← nodeB saw its trigger
nodeC:
branch:to:nodeC: v03 ← nodeC saw its trigger
```
---
### Step 3: nodeD executes (source: loop)
```
nodeD reads: fieldA='Hello->A->B', fieldB='World->A->C'
State values: {'fieldA': 'Hello->A->B->D', 'fieldB': 'World->A->C->D'}
channel_versions:
__start__: v02
branch:to:nodeA: v03
branch:to:nodeB: v04
branch:to:nodeC: v04
fieldA: v05
fieldB: v05
join:nodeB+nodeC:nodeD: v05
versions_seen:
__input__: {}
__start__:
__start__: v01
nodeA:
branch:to:nodeA: v02
nodeB:
branch:to:nodeB: v03
nodeC:
branch:to:nodeC: v03
nodeD:
join:nodeB+nodeC:nodeD: v04 ← nodeD saw join channel
```
---
## Summary Table
| Node | versions_seen records | Why? |
|------|----------------------|------|
| `__start__` | `__start__` | Its trigger is `__start__` |
| `nodeA` | `branch:to:nodeA` | Its trigger is `branch:to:nodeA` |
| `nodeB` | `branch:to:nodeB` | Its trigger is `branch:to:nodeB` |
| `nodeC` | `branch:to:nodeC` | Its trigger is `branch:to:nodeC` |
| `nodeD` | `join:nodeB+nodeC:nodeD` | One of its triggers (join channel) |
---
## Conclusion
- `versions_seen` **only records triggers**
- `fieldA` and `fieldB` **never appear** in `versions_seen`
- In StateGraph, triggers are edge control channels (`branch:to:*`), not state fields
- The purpose of `versions_seen` is to **prevent duplicate triggering**, so it only needs to track trigger channel versions
---
## Deep Dive: How `versions_seen` Determines the Last Node
### The Problem
When calling `update_state()` without specifying `as_node`, LangGraph needs to figure out which node "last updated" the state. This is done using `versions_seen`.
### The Algorithm
```python
last_seen_by_node = sorted(
(v, n)
for n, seen in checkpoint["versions_seen"].items()
if n in self.nodes
for v in seen.values()
)
```
This creates a sorted list of `(version, node_name)` tuples.
### Key Insight: Version = Superstep
**Nodes that execute in the same superstep (parallel execution) will have the same trigger channel version.**
This is because:
1. Each superstep increments the version counter
2. All nodes triggered in the same superstep see the same version
3. So `version` effectively identifies which superstep a node executed in
### Analysis by Step (Using Our Example)
#### Step 1: After nodeA executes
```
versions_seen:
__start__: { __start__: v01 }
nodeA: { branch:to:nodeA: v02 }
last_seen_by_node = [(v01, "__start__"), (v02, "nodeA")]
Check: last[-1][0] != last[-2][0]?
v02 != v01? ✅ YES
Result: as_node = "nodeA" (last node in the latest superstep)
```
#### Step 2: After nodeB and nodeC execute (parallel)
```
versions_seen:
__start__: { __start__: v01 }
nodeA: { branch:to:nodeA: v02 }
nodeB: { branch:to:nodeB: v03 } ← same version!
nodeC: { branch:to:nodeC: v03 } ← same version!
last_seen_by_node = [(v01, "__start__"), (v02, "nodeA"), (v03, "nodeB"), (v03, "nodeC")]
Check: last[-1][0] != last[-2][0]?
v03 != v03? ❌ NO (same version = same superstep)
Result: AMBIGUOUS! Multiple nodes executed in the last superstep.
→ Raises InvalidUpdateError("Ambiguous update, specify as_node")
```
#### Step 3: After nodeD executes
```
versions_seen:
__start__: { __start__: v01 }
nodeA: { branch:to:nodeA: v02 }
nodeB: { branch:to:nodeB: v03 }
nodeC: { branch:to:nodeC: v03 }
nodeD: { join:nodeB+nodeC:nodeD: v04 }
last_seen_by_node = [(v01, "__start__"), (v02, "nodeA"), (v03, "nodeB"), (v03, "nodeC"), (v04, "nodeD")]
Check: last[-1][0] != last[-2][0]?
v04 != v03? ✅ YES
Result: as_node = "nodeD" (only node in the latest superstep)
```
### Summary Table
| Step | Last Two Versions | Same Superstep? | as_node |
|------|-------------------|-----------------|---------|
| Step 1 | v02, v01 | No | ✅ nodeA |
| Step 2 | v03, v03 | **Yes (parallel!)** | ❌ Ambiguous |
| Step 3 | v04, v03 | No | ✅ nodeD |
### Visual Representation
```
Superstep Timeline:
Superstep 0 Superstep 1 Superstep 2 Superstep 3
(v01, v02) (v03) (v04) (v05)
│ │ │ │
▼ ▼ ▼ ▼
┌────────┐ ┌──────────┐ ┌─────────┐ ┌────────┐
│__start__│ │ nodeA │ │ nodeB │ │ nodeD │
└────────┘ └──────────┘ │ nodeC │ └────────┘
│(parallel)│
└─────────┘
When version[-1] == version[-2]:
→ Multiple nodes in the same superstep
→ Cannot determine which one was "last"
→ Ambiguous!
```
### The Logic Explained
```python
if last_seen_by_node:
if len(last_seen_by_node) == 1:
# Only one node ever executed
as_node = last_seen_by_node[0][1]
elif last_seen_by_node[-1][0] != last_seen_by_node[-2][0]:
# Last two have different versions
# → Last superstep had only ONE node
# → That node is unambiguously the "last" one
as_node = last_seen_by_node[-1][1]
# else: versions are equal
# → Multiple nodes in the last superstep
# → Ambiguous, will raise error later
```
---
## How Scheduling Works
```python
def _triggers(channels, versions, seen, null_version, proc) -> bool:
for chan in proc.triggers: # Only checks triggers!
if channels[chan].is_available() and \ # Condition 1: channel has value
versions.get(chan, null_version) > seen.get(chan, null_version): # Condition 2: version updated
return True
return False
```
Translation:
> Trigger the node if ANY trigger channel satisfies **BOTH** conditions:
> 1. `is_available()` - the channel has a value
> 2. `current_version > seen_version` - the version is newer than what the node has seen
**Important**: Both conditions must be met! This is why `EphemeralValue` channels (like `branch:to:*`)
can have their version increase after being consumed, but won't re-trigger the node because
`is_available()` returns `False` after consumption.
Since only triggers are checked, only trigger versions need to be recorded in `versions_seen`.
---
## Running the Test
To run the test script yourself:
```bash
cd libs/langgraph
uv run python test_versions_seen.py
```
+8 -8
View File
@@ -7,11 +7,11 @@ all: help
# TESTING AND COVERAGE
######################
start-postgres:
docker compose -f tests/compose-postgres.yml up -V --force-recreate --wait --remove-orphans
start-services:
docker compose -f tests/compose-postgres.yml -f tests/compose-redis.yml up -V --force-recreate --wait --remove-orphans
stop-postgres:
docker compose -f tests/compose-postgres.yml down -v
stop-services:
docker compose -f tests/compose-postgres.yml -f tests/compose-redis.yml down -v
TEST ?= .
@@ -19,15 +19,15 @@ test-fast:
LANGGRAPH_TEST_FAST=1 uv run pytest $(TEST)
test:
make start-postgres && LANGGRAPH_TEST_FAST=0 uv run pytest $(TEST); \
make start-services && LANGGRAPH_TEST_FAST=0 uv run pytest $(TEST); \
EXIT_CODE=$$?; \
make stop-postgres; \
make stop-services; \
exit $$EXIT_CODE
test_watch:
make start-postgres && LANGGRAPH_TEST_FAST=0 uv run ptw $(TEST); \
make start-services && LANGGRAPH_TEST_FAST=0 uv run ptw $(TEST); \
EXIT_CODE=$$?; \
make stop-postgres; \
make stop-services; \
exit $$EXIT_CODE
######################
@@ -473,6 +473,11 @@ def create_react_agent(
if context_schema is None:
context_schema = config_schema
if len(deprecated_kwargs) > 0:
raise TypeError(
f"create_react_agent() got unexpected keyword arguments: {deprecated_kwargs}"
)
if version not in ("v1", "v2"):
raise ValueError(
f"Invalid version {version}. Supported versions are 'v1' and 'v2'."
@@ -888,13 +893,13 @@ def create_react_agent(
workflow.add_conditional_edges(
"post_model_hook",
post_model_hook_router, # type: ignore[arg-type]
post_model_hook_router,
path_map=post_model_hook_paths,
)
workflow.add_conditional_edges(
"agent",
should_continue, # type: ignore[arg-type]
should_continue,
path_map=agent_paths,
)
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-prebuilt"
version = "0.6.3"
version = "0.6.4"
description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
authors = []
requires-python = ">=3.9"
+16
View File
@@ -0,0 +1,16 @@
name: langgraph-tests-redis
services:
redis-test:
image: redis:7-alpine
ports:
- "6379:6379"
command: redis-server --maxmemory 256mb --maxmemory-policy allkeys-lru
healthcheck:
test: redis-cli ping
start_period: 10s
timeout: 1s
retries: 5
interval: 5s
start_interval: 1s
tmpfs:
- /data # Use tmpfs for faster testing
+8
View File
@@ -31,3 +31,11 @@ def test_config_schema_deprecation() -> None:
match="`get_config_jsonschema` is deprecated. Use `get_context_jsonschema` instead.",
):
assert agent.get_config_jsonschema() is not None
def test_extra_kwargs_deprecation() -> None:
with pytest.raises(
TypeError,
match="create_react_agent\(\) got unexpected keyword arguments: \{'extra': 'extra'\}",
):
create_react_agent(FakeToolCallingModel(), [], extra="extra")
+185 -1
View File
@@ -24,7 +24,7 @@ from langchain_core.messages import (
ToolCall,
ToolMessage,
)
from langchain_core.runnables import RunnableLambda
from langchain_core.runnables import RunnableConfig, RunnableLambda
from langchain_core.tools import InjectedToolCallId, ToolException
from langchain_core.tools import tool as dec_tool
from pydantic import BaseModel, Field
@@ -1236,6 +1236,190 @@ def test_tool_node_stream_writer() -> None:
]
@pytest.mark.parametrize("version", REACT_TOOL_CALL_VERSIONS)
def test_react_agent_subgraph_streaming_sync(version: Literal["v1", "v2"]) -> None:
"""Test React agent streaming when used as a subgraph node sync version"""
@dec_tool
def get_weather(city: str) -> str:
"""Get the weather of a city."""
return f"The weather of {city} is sunny."
# Create a React agent
model = FakeToolCallingModel(
tool_calls=[
[{"args": {"city": "Tokyo"}, "id": "1", "name": "get_weather"}],
[],
]
)
agent = create_react_agent(
model,
tools=[get_weather],
prompt="You are a helpful travel assistant.",
version=version,
)
# Create a subgraph that uses the React agent as a node
def react_agent_node(state: MessagesState, config: RunnableConfig) -> MessagesState:
"""Node that runs the React agent and collects streaming output."""
collected_content = ""
# Stream the agent output and collect content
for msg_chunk, msg_metadata in agent.stream(
{"messages": [("user", state["messages"][-1].content)]},
config,
stream_mode="messages",
):
if hasattr(msg_chunk, "content") and msg_chunk.content:
collected_content += msg_chunk.content
return {"messages": [("assistant", collected_content)]}
# Create the main workflow with the React agent as a subgraph node
workflow = StateGraph(MessagesState)
workflow.add_node("react_agent", react_agent_node)
workflow.add_edge(START, "react_agent")
workflow.add_edge("react_agent", "__end__")
compiled_workflow = workflow.compile()
# Test the streaming functionality
result = compiled_workflow.invoke(
{"messages": [("user", "What is the weather in Tokyo?")]}
)
# Verify the result contains expected structure
assert len(result["messages"]) == 2
assert result["messages"][0].content == "What is the weather in Tokyo?"
assert "assistant" in str(result["messages"][1])
# Test streaming with subgraphs = True
result = compiled_workflow.invoke(
{"messages": [("user", "What is the weather in Tokyo?")]},
subgraphs=True,
)
assert len(result["messages"]) == 2
events = []
for event in compiled_workflow.stream(
{"messages": [("user", "What is the weather in Tokyo?")]},
stream_mode="messages",
subgraphs=False,
):
events.append(event)
assert len(events) == 0
events = []
for event in compiled_workflow.stream(
{"messages": [("user", "What is the weather in Tokyo?")]},
stream_mode="messages",
subgraphs=True,
):
events.append(event)
assert len(events) == 3
namespace, (msg, metadata) = events[0]
# FakeToolCallingModel returns a single AIMessage with tool calls
# The content of the AIMessage reflects the input message
assert msg.content.startswith("You are a helpful travel assistant")
namespace, (msg, metadata) = events[1] # ToolMessage
assert msg.content.startswith("The weather of Tokyo is sunny.")
@pytest.mark.parametrize("version", REACT_TOOL_CALL_VERSIONS)
async def test_react_agent_subgraph_streaming(version: Literal["v1", "v2"]) -> None:
"""Test React agent streaming when used as a subgraph node."""
@dec_tool
def get_weather(city: str) -> str:
"""Get the weather of a city."""
return f"The weather of {city} is sunny."
# Create a React agent
model = FakeToolCallingModel(
tool_calls=[
[{"args": {"city": "Tokyo"}, "id": "1", "name": "get_weather"}],
[],
]
)
agent = create_react_agent(
model,
tools=[get_weather],
prompt="You are a helpful travel assistant.",
version=version,
)
# Create a subgraph that uses the React agent as a node
async def react_agent_node(
state: MessagesState, config: RunnableConfig
) -> MessagesState:
"""Node that runs the React agent and collects streaming output."""
collected_content = ""
# Stream the agent output and collect content
async for msg_chunk, msg_metadata in agent.astream(
{"messages": [("user", state["messages"][-1].content)]},
config,
stream_mode="messages",
):
if hasattr(msg_chunk, "content") and msg_chunk.content:
collected_content += msg_chunk.content
return {"messages": [("assistant", collected_content)]}
# Create the main workflow with the React agent as a subgraph node
workflow = StateGraph(MessagesState)
workflow.add_node("react_agent", react_agent_node)
workflow.add_edge(START, "react_agent")
workflow.add_edge("react_agent", "__end__")
compiled_workflow = workflow.compile()
# Test the streaming functionality
result = await compiled_workflow.ainvoke(
{"messages": [("user", "What is the weather in Tokyo?")]}
)
# Verify the result contains expected structure
assert len(result["messages"]) == 2
assert result["messages"][0].content == "What is the weather in Tokyo?"
assert "assistant" in str(result["messages"][1])
# Test streaming with subgraphs = True
result = await compiled_workflow.ainvoke(
{"messages": [("user", "What is the weather in Tokyo?")]},
subgraphs=True,
)
assert len(result["messages"]) == 2
events = []
async for event in compiled_workflow.astream(
{"messages": [("user", "What is the weather in Tokyo?")]},
stream_mode="messages",
subgraphs=False,
):
events.append(event)
assert len(events) == 0
events = []
async for event in compiled_workflow.astream(
{"messages": [("user", "What is the weather in Tokyo?")]},
stream_mode="messages",
subgraphs=True,
):
events.append(event)
assert len(events) == 3
namespace, (msg, metadata) = events[0]
# FakeToolCallingModel returns a single AIMessage with tool calls
# The content of the AIMessage reflects the input message
assert msg.content.startswith("You are a helpful travel assistant")
namespace, (msg, metadata) = events[1] # ToolMessage
assert msg.content.startswith("The weather of Tokyo is sunny.")
@pytest.mark.parametrize("version", REACT_TOOL_CALL_VERSIONS)
def test_tool_node_node_interrupt(
sync_checkpointer: BaseCheckpointSaver, version: str
+4 -3
View File
@@ -316,7 +316,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "0.6.3"
version = "0.6.7"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -359,6 +359,7 @@ dev = [
{ name = "pytest-repeat" },
{ name = "pytest-watcher" },
{ name = "pytest-xdist", extras = ["psutil"] },
{ name = "redis" },
{ name = "ruff" },
{ name = "syrupy" },
{ name = "types-requests" },
@@ -392,6 +393,7 @@ dev = [
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
]
@@ -460,7 +462,7 @@ dev = [
[[package]]
name = "langgraph-prebuilt"
version = "0.6.3"
version = "0.6.4"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -507,7 +509,6 @@ dev = [
[[package]]
name = "langgraph-sdk"
version = "0.2.0"
source = { editable = "../sdk-py" }
dependencies = [
{ name = "httpx" },
+3 -3
View File
@@ -1,7 +1,7 @@
.PHONY: lint format
.PHONY: lint format test
test:
echo "No tests to run"
uv run pytest tests
######################
# LINTING AND FORMATTING
@@ -17,7 +17,7 @@ lint lint_diff:
uv run ruff check .
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
uvx ty check .
format format_diff:
uv run ruff check --select I --fix $(PYTHON_FILES)
+1 -6
View File
@@ -1,11 +1,6 @@
from langgraph_sdk.auth import Auth
from langgraph_sdk.client import get_client, get_sync_client
try:
from importlib import metadata
__version__ = metadata.version(__package__)
except metadata.PackageNotFoundError:
__version__ = "unknown"
__version__ = "0.2.6"
__all__ = ["Auth", "get_client", "get_sync_client"]
+8 -4
View File
@@ -385,6 +385,8 @@ class _ResourceOn(typing.Generic[VCreate, VRead, VUpdate, VDelete, VSearch]):
_register_handler(self.auth, self.resource, "*", handler),
)
# Accept keyword-only parameters for future filtering behavior; referenced to satisfy linters.
_ = resources, actions
return decorator
@@ -701,7 +703,7 @@ def _validate_handler(fn: Callable[..., typing.Any]) -> None:
"""
if not inspect.iscoroutinefunction(fn):
raise ValueError(
f"Auth handler '{fn.__name__}' must be an async function. "
f"Auth handler '{getattr(fn, '__name__', fn)}' must be an async function. "
"Add 'async' before 'def' to make it asynchronous and ensure"
" any IO operations are non-blocking."
)
@@ -709,18 +711,20 @@ def _validate_handler(fn: Callable[..., typing.Any]) -> None:
sig = inspect.signature(fn)
if "ctx" not in sig.parameters:
raise ValueError(
f"Auth handler '{fn.__name__}' must have a 'ctx: AuthContext' parameter. "
f"Auth handler '{getattr(fn, '__name__', fn)}' must have a 'ctx: AuthContext' parameter. "
"Update the function signature to include this required parameter."
)
if "value" not in sig.parameters:
raise ValueError(
f"Auth handler '{fn.__name__}' must have a 'value' parameter. "
f"Auth handler '{getattr(fn, '__name__', fn)}' must have a 'value' parameter. "
" The value contains the mutable data being sent to the endpoint."
"Update the function signature to include this required parameter."
)
def is_studio_user(user: types.MinimalUser | types.User | types.UserDict) -> bool:
def is_studio_user(
user: types.MinimalUser | types.BaseUser | types.MinimalUserDict,
) -> bool:
return (
isinstance(user, types.StudioUser)
or isinstance(user, dict)

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