Merge branch 'main' into vb/pydantic-command

This commit is contained in:
vbarda
2025-04-14 12:56:22 -04:00
24 changed files with 356 additions and 267 deletions
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@@ -1,4 +1,4 @@
# How to Deploy to Cloud SaaS
# How to Deploy to Cloud SaaS (Beta)
Before deploying, review the [conceptual guide for the Cloud SaaS](../../concepts/langgraph_cloud.md) deployment option.
@@ -1,4 +1,4 @@
# How to Deploy Self-Hosted Control Plane
# How to Deploy Self-Hosted Control Plane (Beta)
Before deploying, review the [conceptual guide for the Self-Hosted Control Plane](../../concepts/langgraph_self_hosted_control_plane.md) deployment option.
@@ -1,4 +1,4 @@
# How to Deploy Self-Hosted Data Plane
# How to Deploy Self-Hosted Data Plane (Beta)
Before deploying, review the [conceptual guide for the Self-Hosted Data Plane](../../concepts/langgraph_self_hosted_data_plane.md) deployment option.
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@@ -1,6 +1,6 @@
# Environment Variables
The LangGraph Cloud Server supports specific environment variables for configuring a deployment.
The LangGraph Server supports specific environment variables for configuring a deployment.
## `BG_JOB_ISOLATED_LOOPS`
@@ -32,7 +32,7 @@ See <a href="https://docs.smith.langchain.com/how_to_guides/tracing/sample_trace
## `LANGGRAPH_AUTH_TYPE`
Type of authentication for the LangGraph Cloud Server deployment. Valid values: `langsmith`, `noop`.
Type of authentication for the LangGraph Server deployment. Valid values: `langsmith`, `noop`.
For deployments to LangGraph Cloud, this environment variable is set automatically. For local development or deployments where authentication is handled externally (e.g. self-hosted), set this environment variable to `noop`.
@@ -44,19 +44,27 @@ Set this environment variable to have a BYOC deployment send traces to a self-ho
`SELF_HOSTED_LANGSMITH_HOSTNAME` is the hostname of the self-hosted LangSmith instance. It must be accessible to the BYOC deployment. `LANGSMITH_API_KEY` is a LangSmith API generated from the self-hosted LangSmith instance.
## `LANGSMITH_TRACING`
!!! info "Only for Self-Hosted Data Plane, Self-Hosted Control Plane, and Standalone Container"
Disabling LangSmith tracing is only available for [Self-Hosted Data Plane](../../concepts/langgraph_self_hosted_data_plane.md), [Self-Hosted Control Plane](../../concepts/langgraph_self_hosted_control_plane.md), and [Standalone Container](../../concepts/langgraph_standalone_container.md) deployments.
Set `LANGSMITH_TRACING` to `false` to disable tracing to LangSmith.
## `LOG_LEVEL`
Configure [log level](https://docs.python.org/3/library/logging.html#logging-levels). Defaults to `INFO`.
## `N_JOBS_PER_WORKER`
Number of jobs per worker for the LangGraph Cloud task queue. Defaults to `10`.
Number of jobs per worker for the LangGraph Server task queue. Defaults to `10`.
## `POSTGRES_URI_CUSTOM`
For [Bring Your Own Cloud (BYOC)](../../concepts/bring_your_own_cloud.md) deployments only.
!!! info "Only for Self-Hosted Data Plane and Self-Hosted Control Plane"
Custom Postgres instances are only available for [Self-Hosted Data Plane](../../concepts/langgraph_self_hosted_data_plane.md) and [Self-Hosted Control Plane](../../concepts/langgraph_self_hosted_control_plane.md) deployments.
Specify `POSTGRES_URI_CUSTOM` to use an externally managed Postgres instance. The value of `POSTGRES_URI_CUSTOM` must be a valid [Postgres connection URI](https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING-URIS).
Specify `POSTGRES_URI_CUSTOM` to use a custom Postgres instance. The value of `POSTGRES_URI_CUSTOM` must be a valid [Postgres connection URI](https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING-URIS).
Postgres:
@@ -73,11 +81,11 @@ Control Plane Functionality:
Database Connectivity:
- The externally managed Postgres instance must be accessible by the LangGraph Server service in the ECS cluster. The BYOC user is responsible for ensuring connectivity.
- For example, if an AWS RDS Postgres instance is provisioned, it can be provisioned in the same VPC (`langgraph-cloud-vpc`) as the ECS cluster with the `langgraph-cloud-service-sg` security group to ensure connectivity.
- The custom Postgres instance must be accessible by the LangGraph Server. The user is responsible for ensuring connectivity.
## `REDIS_URI_CUSTOM`
For [Bring Your Own Cloud (BYOC)](../../concepts/bring_your_own_cloud.md) deployments only.
!!! info "Only for Self-Hosted Data Plane and Self-Hosted Control Plane"
Custom Redis instances are only available for [Self-Hosted Data Plane](../../concepts/langgraph_self_hosted_data_plane.md) and [Self-Hosted Control Plane](../../concepts/langgraph_self_hosted_control_plane.md) deployments.
Specify `REDIS_URI_CUSTOM` to use an externally managed Redis instance. The value of `REDIS_URI_CUSTOM` must be a valid [Redis connection URI](https://redis-py.readthedocs.io/en/stable/connections.html#redis.Redis.from_url).
Specify `REDIS_URI_CUSTOM` to use a custom Redis instance. The value of `REDIS_URI_CUSTOM` must be a valid [Redis connection URI](https://redis-py.readthedocs.io/en/stable/connections.html#redis.Redis.from_url).
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@@ -10,11 +10,11 @@
There are 4 main options for deploying with the LangGraph Platform:
1. **[Cloud SaaS](#cloud-saas)**: Available for **Plus** and **Enterprise** plans.
1. **<a href="#cloud-saas">Cloud SaaS<sup>(Beta)</sup></a>**: Available for **Plus** and **Enterprise** plans.
1. **[Self-Hosted Data Plane](#self-hosted-data-plane)**: Available for the **Enterprise** plan.
1. **<a href="#self-hosted-data-plane">Self-Hosted Data Plane<sup>(Beta)</sup></a>**: Available for the **Enterprise** plan.
1. **[Self-Hosted Control Plane](#self-hosted-control-plane)**: Available for the **Enterprise** plan.
1. **<a href="#self-hosted-control-plane">Self-Hosted Control Plane<sup>(Beta)</sup></a>**: Available for the **Enterprise** plan.
1. **[Standalone Container](#standalone-container)**: Available for all plans.
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@@ -76,7 +76,7 @@ The LangGraph Platform comprises several components that work together to suppor
### Deployment Options
- [Cloud SaaS](../concepts/langgraph_cloud.md): Connect to your GitHub repositories and deploy LangGraph Servers to LangChain's cloud. We manage everything.
- [Self-Hosted Data Plane](../concepts/langgraph_self_hosted_data_plane.md): Create deployments from the [Control Plane UI](../concepts/langgraph_control_plane.md#control-plane-ui) and deploy LangGraph Servers to your cloud. We manage the [control plane](../concepts/langgraph_control_plane.md), you manage the deployments.
- [Self-Hosted Control Plane](../concepts/langgraph_self_hosted_control_plane.md#control-plane-ui): Create deployments from a self-hosted [Control Plane UI](../concepts/langgraph_control_plane.md) and deploy LangGraph Servers to your cloud. You manage everything.
- <a href="./langgraph_cloud/">Cloud SaaS<sup>(Beta)</sup></a>: Connect to your GitHub repositories and deploy LangGraph Servers to LangChain's cloud. We manage everything.
- <a href="./langgraph_self_hosted_data_plane/">Self-Hosted Data Plane<sup>(Beta)</sup></a>: Create deployments from the [Control Plane UI](../concepts/langgraph_control_plane.md#control-plane-ui) and deploy LangGraph Servers to your cloud. We manage the [control plane](../concepts/langgraph_control_plane.md), you manage the deployments.
- <a href="./langgraph_self_hosted_control_plane/">Self-Hosted Control Plane<sup>(Beta)</sup></a>: Create deployments from a self-hosted [Control Plane UI](../concepts/langgraph_control_plane.md#control-plane-ui) and deploy LangGraph Servers to your cloud. You manage everything.
- [Standalone Container](../concepts/langgraph_standalone_container.md): Deploy LangGraph Server Docker images however you like.
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@@ -1,4 +1,4 @@
# Cloud SaaS
# Cloud SaaS (Beta)
To deploy a [LangGraph Server](../concepts/langgraph_server.md), follow the how-to guide for [how to deploy to Cloud SaaS](../cloud/deployment/cloud.md).
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@@ -58,7 +58,7 @@ In the future, the autoscaling implementation may evolve to accommodate other me
### Static IP Addresses
!!! info "Only for Cloud SaaS"
Static IP addresses are only available for [Cloud SaaS](../concepts/langgraph_cloud.md).
Static IP addresses are only available for [Cloud SaaS](../concepts/langgraph_cloud.md) deployments.
All traffic from deployments created after January 6th 2025 will come through a NAT gateway. This NAT gateway will have several static IP addresses depending on the data region. Refer to the table below for the list of static IP addresses:
@@ -72,3 +72,46 @@ All traffic from deployments created after January 6th 2025 will come through a
| 34.169.88.30 | 34.91.238.184 |
| 34.19.93.202 | 35.204.101.241 |
| 34.19.34.50 | 35.204.48.32 |
### Custom Postgres
!!! info "Only for Self-Hosted Data Plane and Self-Hosted Control Plane"
Custom Postgres instances are only available for [Self-Hosted Data Plane](../concepts/langgraph_self_hosted_data_plane.md) and [Self-Hosted Control Plane](../concepts/langgraph_self_hosted_control_plane.md) deployments.
A custom Postgres instance can be used instead of the [one automatically created by the control plane](./langgraph_control_plane.md#database-provisioning). Specify the [`POSTGRES_URI_CUSTOM`](../cloud/reference/env_var.md#postgres_uri_custom) environment variable to use a custom Postgres instance.
Multiple deployments can share the same Postgres instance. For example, for `Deployment A`, `POSTGRES_URI_CUSTOM` can be set to `postgres://<user>:<password>@/<database_name_1>?host=<hostname_1>` and for `Deployment B`, `POSTGRES_URI_CUSTOM` can be set to `postgres://<user>:<password>@/<database_name_2>?host=<hostname_1>`. `<database_name_1>` and `database_name_2` are different databases within the same instance, but `<hostname_1>` is shared. **The same database cannot be used for separate deployments**.
### Custom Redis
!!! info "Only for Self-Hosted Data Plane and Self-Hosted Control Plane"
Custom Redis instances are only available for [Self-Hosted Data Plane](../concepts/langgraph_self_hosted_data_plane.md) and [Self-Hosted Control Plane](../concepts/langgraph_self_hosted_control_plane.md) deployments.
A custom Redis instance can be used instead of the one automatically created by the control plane. Specify the [REDIS_URI_CUSTOM](../cloud/reference/env_var.md#redis_uri_custom) environment variable to use a custom Redis instance.
Multiple deployments can share the same Redis instance. For example, for `Deployment A`, `REDIS_URI_CUSTOM` can be set to `redis://<hostname_1>:<port>/1` and for `Deployment B`, `REDIS_URI_CUSTOM` can be set to `redis://<hostname_1>:<port>/2`. `1` and `2` are different database numbers within the same instance, but `<hostname_1>` is shared. **The same database number cannot be used for separate deployments**.
### LangSmith Tracing
LangGraph Server is automatically configured to send traces to LangSmith. See the table below for details with respect to each deployment option.
| Cloud SaaS | Self-Hosted Data Plane | Self-Hosted Control Plane | Standalone Container |
|------------|------------------------|---------------------------|----------------------|
| Required<br><br>Trace to LangSmith SaaS. | Optional<br><br>Disable tracing or trace to LangSmith SaaS. | Optional<br><br>Disable tracing or trace to Self-Hosted LangSmith. | Optional<br><br>Disable tracing, trace to LangSmith SaaS, or trace to Self-Hosted LangSmith. |
### Telemetry
LangGraph Server is automatically configured to report telemetry metadata for billing purposes. See the table below for details with respect to each deployment option.
| Cloud SaaS | Self-Hosted Data Plane | Self-Hosted Control Plane | Standalone Container |
|------------|------------------------|---------------------------|----------------------|
| Telemetry sent to LangSmith SaaS. | Telemetry sent to LangSmith SaaS. | Self-reported usage (audit) for air-gapped license key.<br><br>Telemetry sent to LangSmith SaaS for LangGraph Platform License Key. | Self-reported usage (audit) for air-gapped license key.<br><br>Telemetry sent to LangSmith SaaS for LangGraph Platform License Key. |
### Licensing
LangGraph Server is automatically configured to perform license key validation. See the table below for details with respect to each deployment option.
| Cloud SaaS | Self-Hosted Data Plane | Self-Hosted Control Plane | Standalone Container |
|------------|------------------------|---------------------------|----------------------|
| LangSmith API Key validated against LangSmith SaaS. | LangSmith API Key validated against LangSmith SaaS. | Air-gapped license key or LangGraph Platform License Key validated against LangSmith SaaS. | Air-gapped license key or LangGraph Platform License Key validated against LangSmith SaaS. |
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@@ -5,6 +5,10 @@ search:
# LangGraph Platform
Watch this 4-minute overview of LangGraph Platform to see how it helps you build, deploy, and evaluate agentic applications.
<iframe width="560" height="315" src="https://www.youtube.com/embed/pfAQxBS5z88?si=XGS6Chydn6lhSO1S" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
## Overview
LangGraph Platform is a commercial solution for deploying agentic applications to production, built on the open-source [LangGraph framework](./high_level.md).
@@ -1,4 +1,4 @@
# Self-Hosted Control Plane
# Self-Hosted Control Plane (Beta)
To deploy a [LangGraph Server](../concepts/langgraph_server.md), follow the how-to guide for [how to deploy the Self-Hosted Control Plane](../cloud/deployment/self_hosted_control_plane.md).
@@ -1,4 +1,4 @@
# Self-Hosted Data Plane
# Self-Hosted Data Plane (Beta)
To deploy a [LangGraph Server](../concepts/langgraph_server.md), follow the how-to guide for [how to deploy the Self-Hosted Data Plane](../cloud/deployment/self_hosted_data_plane.md).
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@@ -17,9 +17,9 @@ Get started deploying your LangGraph applications locally or on the cloud with
## Deployment Options
- [Cloud SaaS](../concepts/langgraph_cloud.md): Connect to your GitHub repositories and deploy LangGraph Servers to LangChain's cloud. We manage everything.
- [Self-Hosted Data Plane](../concepts/langgraph_self_hosted_data_plane.md): Create deployments from the [Control Plane UI](../concepts/langgraph_control_plane.md#control-plane-ui) and deploy LangGraph Servers to your cloud. We manage the [control plane](../concepts/langgraph_control_plane.md), you manage the deployments.
- [Self-Hosted Control Plane](../concepts/langgraph_self_hosted_control_plane.md#control-plane-ui): Create deployments from a self-hosted [Control Plane UI](../concepts/langgraph_control_plane.md) and deploy LangGraph Servers to your cloud. You manage everything.
- <a href="../../concepts/langgraph_cloud/">Cloud SaaS<sup>(Beta)</sup></a>: Connect to your GitHub repositories and deploy LangGraph Servers to LangChain's cloud. We manage everything.
- <a href="../../concepts/langgraph_self_hosted_data_plane/">Self-Hosted Data Plane<sup>(Beta)</sup></a>: Create deployments from the [Control Plane UI](../concepts/langgraph_control_plane.md#control-plane-ui) and deploy LangGraph Servers to your cloud. We manage the [control plane](../concepts/langgraph_control_plane.md), you manage the deployments.
- <a href="../../concepts/langgraph_self_hosted_control_plane/">Self-Hosted Control Plane<sup>(Beta)</sup></a>: Create deployments from a self-hosted [Control Plane UI](../concepts/langgraph_control_plane.md#control-plane-ui) and deploy LangGraph Servers to your cloud. You manage everything.
- [Standalone Container](../concepts/langgraph_standalone_container.md): Deploy LangGraph Server Docker images however you like.
A quick comparison...
@@ -106,6 +106,7 @@ def fanout_to_subgraph_sync() -> StateGraph:
if __name__ == "__main__":
import asyncio
import random
import time
import uvloop
@@ -123,4 +124,7 @@ if __name__ == "__main__":
len([c async for c in graph.astream(input, config=config)])
uvloop.install()
start = time.time()
asyncio.run(run())
end = time.time()
print(f"Time taken: {end - start:.4f} seconds")
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@@ -20,7 +20,7 @@ from typing import (
from langgraph.channels.ephemeral_value import EphemeralValue
from langgraph.channels.last_value import LastValue
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.constants import END, PREVIOUS, START, TAG_HIDDEN
from langgraph.constants import END, PREVIOUS, START
from langgraph.pregel import Pregel
from langgraph.pregel.call import (
P,
@@ -434,8 +434,7 @@ class entrypoint:
[
ChannelWriteEntry(END, mapper=_pluck_return_value),
ChannelWriteEntry(PREVIOUS, mapper=_pluck_save_value),
],
tags=[TAG_HIDDEN],
]
)
],
)
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@@ -1,4 +1,3 @@
import asyncio
from inspect import (
isfunction,
ismethod,
@@ -138,7 +137,6 @@ class Branch(NamedTuple):
reader=reader,
name=None,
trace=False,
set_context=False,
func_accepts_config=True,
)
)
@@ -179,7 +177,7 @@ class Branch(NamedTuple):
],
) -> Runnable:
if reader:
value = await asyncio.to_thread(reader, config)
value = reader(config)
# passthrough additional keys from node to branch
# only doable when using dict states
if (
+3 -8
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@@ -366,16 +366,14 @@ class CompiledGraph(Pregel):
self.nodes[key] = (
PregelNode(channels=[], triggers=[], metadata=node.metadata)
| node.runnable
| ChannelWrite([ChannelWriteEntry(key)], tags=[TAG_HIDDEN])
| ChannelWrite([ChannelWriteEntry(key)])
)
cast(list[str], self.stream_channels).append(key)
def attach_edge(self, start: str, end: str) -> None:
if end == END:
# publish to end channel
self.nodes[start].writers.append(
ChannelWrite([ChannelWriteEntry(END)], tags=[TAG_HIDDEN])
)
self.nodes[start].writers.append(ChannelWrite([ChannelWriteEntry(END)]))
else:
# subscribe to start channel
self.nodes[end].triggers.append(start)
@@ -393,10 +391,7 @@ class CompiledGraph(Pregel):
)
for p in packets
]
return ChannelWrite(
cast(Sequence[Union[ChannelWriteEntry, Send]], writes),
tags=[TAG_HIDDEN],
)
return ChannelWrite(cast(Sequence[Union[ChannelWriteEntry, Send]], writes))
# add hidden start node
if start == START and start not in self.nodes:
+15 -66
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@@ -44,6 +44,7 @@ from langgraph.constants import (
NS_END,
NS_SEP,
TAG_HIDDEN,
TASKS,
)
from langgraph.errors import (
ErrorCode,
@@ -78,7 +79,7 @@ from langgraph.store.base import BaseStore
from langgraph.types import All, Checkpointer, Command, RetryPolicy
from langgraph.utils.fields import get_field_default
from langgraph.utils.pydantic import create_model, get_update_as_tuples
from langgraph.utils.runnable import RunnableCallable, RunnableLike, coerce_to_runnable
from langgraph.utils.runnable import RunnableLike, coerce_to_runnable
logger = logging.getLogger(__name__)
@@ -670,10 +671,6 @@ class StateGraph(Graph):
for key, node in self.nodes.items():
compiled.attach_node(key, node)
compiled.nodes[START].writers.append(CONTROL_BRANCH_PATH)
for key in self.nodes:
compiled.nodes[key].writers.append(CONTROL_BRANCH_PATH)
for start, end in self.edges:
compiled.attach_edge(start, end)
@@ -777,6 +774,7 @@ class CompiledStateGraph(CompiledGraph):
ChannelWriteTupleEntry(
mapper=_get_root if output_keys == ["__root__"] else _get_updates
),
ChannelWriteTupleEntry(mapper=_control_branch),
)
# add node and output channel
@@ -785,7 +783,7 @@ class CompiledStateGraph(CompiledGraph):
tags=[TAG_HIDDEN],
triggers=[START],
channels=[START],
writers=[ChannelWrite(write_entries, tags=[TAG_HIDDEN])],
writers=[ChannelWrite(write_entries)],
)
elif node is not None:
input_schema = node.input if node else self.builder.schema
@@ -810,7 +808,7 @@ class CompiledStateGraph(CompiledGraph):
# coerce state dict to schema class (eg. pydantic model)
mapper=mapper,
# publish to state keys
writers=[ChannelWrite(write_entries, tags=[TAG_HIDDEN])],
writers=[ChannelWrite(write_entries)],
metadata=node.metadata,
retry_policy=node.retry_policy,
bound=node.runnable,
@@ -836,9 +834,7 @@ class CompiledStateGraph(CompiledGraph):
# publish to channel
for start in starts:
self.nodes[start].writers.append(
ChannelWrite(
(ChannelWriteEntry(channel_name, start),), tags=[TAG_HIDDEN]
)
ChannelWrite((ChannelWriteEntry(channel_name, start),))
)
def attach_branch(
@@ -910,9 +906,7 @@ class CompiledStateGraph(CompiledGraph):
for end in ends:
if end != END:
self.nodes[end].writers.append(
ChannelWrite(
[ChannelWriteEntry(channel_name, end)], tags=[TAG_HIDDEN]
)
ChannelWrite((ChannelWriteEntry(channel_name, end),))
)
def _migrate_checkpoint(self, checkpoint: Checkpoint) -> None:
@@ -1037,10 +1031,9 @@ def _coerce_state(schema: Type[Any], input: dict[str, Any]) -> dict[str, Any]:
return schema(**input)
def _control_branch(value: Any, config: RunnableConfig) -> Any:
def _control_branch(value: Any) -> Sequence[tuple[str, Any]]:
if isinstance(value, Send):
ChannelWrite.do_write(config, (value,))
return value
return ((TASKS, value),)
commands: list[Command] = []
if isinstance(value, Command):
commands.append(value)
@@ -1048,66 +1041,22 @@ def _control_branch(value: Any, config: RunnableConfig) -> Any:
for cmd in value:
if isinstance(cmd, Command):
commands.append(cmd)
rtn: list[Union[ChannelWriteEntry, Send]] = []
rtn: list[tuple[str, Any]] = []
for command in commands:
if command.graph == Command.PARENT:
raise ParentCommand(command)
if isinstance(command.goto, Send):
rtn.append(command.goto)
rtn.append((TASKS, command.goto))
elif isinstance(command.goto, str):
rtn.append(ChannelWriteEntry(CHANNEL_BRANCH_TO.format(command.goto), None))
rtn.append((CHANNEL_BRANCH_TO.format(command.goto), None))
else:
rtn.extend(
go
(TASKS, go)
if isinstance(go, Send)
else ChannelWriteEntry(CHANNEL_BRANCH_TO.format(go), None)
else (CHANNEL_BRANCH_TO.format(go), None)
for go in command.goto
)
if rtn:
ChannelWrite.do_write(config, rtn)
return value
async def _acontrol_branch(value: Any, config: RunnableConfig) -> Any:
if isinstance(value, Send):
ChannelWrite.do_write(config, (value,))
return value
commands: list[Command] = []
if isinstance(value, Command):
commands.append(value)
elif isinstance(value, (list, tuple)):
for cmd in value:
if isinstance(cmd, Command):
commands.append(cmd)
rtn: list[Union[ChannelWriteEntry, Send]] = []
for command in commands:
if command.graph == Command.PARENT:
raise ParentCommand(command)
if isinstance(command.goto, Send):
rtn.append(command.goto)
elif isinstance(command.goto, str):
rtn.append(ChannelWriteEntry(CHANNEL_BRANCH_TO.format(command.goto), None))
else:
rtn.extend(
go
if isinstance(go, Send)
else ChannelWriteEntry(CHANNEL_BRANCH_TO.format(go), None)
for go in command.goto
)
if rtn:
ChannelWrite.do_write(config, rtn)
return value
CONTROL_BRANCH_PATH = RunnableCallable(
_control_branch,
_acontrol_branch,
tags=[TAG_HIDDEN],
trace=False,
recurse=False,
set_context=False,
func_accepts_config=True,
)
return rtn
def _get_root(input: Any) -> Optional[Sequence[tuple[str, Any]]]:
+4 -3
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@@ -2550,11 +2550,12 @@ class Pregel(PregelProtocol):
do_stream = (
next(
(
cast(_StreamingCallbackHandler, h)
True
for h in run_manager.handlers
if isinstance(h, _StreamingCallbackHandler)
and not isinstance(h, StreamMessagesHandler)
),
None,
False,
)
if _StreamingCallbackHandler is not None
else False
@@ -2624,7 +2625,7 @@ class Pregel(PregelProtocol):
),
put_writes=weakref.WeakMethod(loop.put_writes),
schedule_task=weakref.WeakMethod(loop.accept_push),
use_astream=do_stream is not None,
use_astream=do_stream,
node_finished=config[CONF].get(CONFIG_KEY_NODE_FINISHED),
)
# enable subgraph streaming
+2 -2
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@@ -10,7 +10,7 @@ from typing import Any, Callable, Generator, Generic, Optional, Sequence, TypeVa
from langchain_core.runnables import Runnable
from typing_extensions import ParamSpec
from langgraph.constants import CONF, CONFIG_KEY_CALL, RETURN, TAG_HIDDEN
from langgraph.constants import CONF, CONFIG_KEY_CALL, RETURN
from langgraph.pregel.write import ChannelWrite, ChannelWriteEntry
from langgraph.types import RetryPolicy
from langgraph.utils.config import get_config
@@ -197,7 +197,7 @@ def get_runnable_for_task(func: Callable[..., Any]) -> RunnableSeq:
)
seq = RunnableSeq(
run,
ChannelWrite([ChannelWriteEntry(RETURN)], tags=[TAG_HIDDEN]),
ChannelWrite([ChannelWriteEntry(RETURN)]),
name=name,
trace_inputs=functools.partial(
_explode_args_trace_inputs, inspect.signature(func)
+1
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@@ -68,6 +68,7 @@ class ChannelRead(RunnableCallable):
afunc=self._aread,
tags=tags,
name=None,
trace=False,
func_accepts_config=True,
)
self.fresh = fresh
+4 -2
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@@ -54,14 +54,14 @@ class ChannelWrite(RunnableCallable):
self,
writes: Sequence[Union[ChannelWriteEntry, ChannelWriteTupleEntry, Send]],
*,
tags: Optional[Sequence[str]] = None,
tags: Optional[Sequence[str]] = None, # ignored
require_at_least_one_of: Optional[Sequence[str]] = None, # ignored
):
super().__init__(
func=self._write,
afunc=self._awrite,
name=None,
tags=tags,
trace=False,
func_accepts_config=True,
)
self.writes = cast(
@@ -152,6 +152,8 @@ class ChannelWrite(RunnableCallable):
tuples.append((w.channel, value))
else:
raise ValueError(f"Invalid write entry: {w}")
# if we want to persist writes found before hitting a ParentCommand
# can move this to a finally block
write: TYPE_SEND = config[CONF][CONFIG_KEY_SEND]
write(tuples)
+235 -150
View File
@@ -36,6 +36,7 @@ from langchain_core.runnables.config import (
var_child_runnable_config,
)
from langchain_core.runnables.utils import Input, Output
from langchain_core.tracers.langchain import LangChainTracer
from typing_extensions import TypeGuard
from langgraph.constants import (
@@ -60,58 +61,34 @@ except ImportError:
def _set_config_context(
config: RunnableConfig,
) -> tuple[Token[Optional[RunnableConfig]], Optional[dict[str, Any]]]:
config: RunnableConfig, run: Any = None
) -> Token[Optional[RunnableConfig]]:
"""Set the child Runnable config + tracing context.
Args:
config (RunnableConfig): The config to set.
"""
from langchain_core.tracers.langchain import LangChainTracer
config_token = var_child_runnable_config.set(config)
current_context = None
if (
(callbacks := config.get("callbacks"))
and (
parent_run_id := getattr(callbacks, "parent_run_id", None)
) # Is callback manager
and (
tracer := next(
(
handler
for handler in getattr(callbacks, "handlers", [])
if isinstance(handler, LangChainTracer)
),
None,
)
)
and (run := tracer.run_map.get(str(parent_run_id)))
):
from langsmith.run_helpers import _set_tracing_context, get_tracing_context
if run is not None:
from langsmith.run_helpers import _set_tracing_context
current_context = get_tracing_context()
_set_tracing_context({"parent": run})
return config_token, current_context
return config_token
@contextmanager
def set_config_context(config: RunnableConfig) -> Generator[Context, None, None]:
def _unset_config_context(
token: Token[Optional[RunnableConfig]], run: Any = None
) -> None:
"""Set the child Runnable config + tracing context.
Args:
config (RunnableConfig): The config to set.
"""
from langsmith.run_helpers import _set_tracing_context
var_child_runnable_config.reset(token)
if run is not None:
from langsmith.run_helpers import _set_tracing_context
ctx = copy_context()
config_token, _ = ctx.run(_set_config_context, config)
try:
yield ctx
finally:
ctx.run(var_child_runnable_config.reset, config_token)
ctx.run(
_set_tracing_context,
_set_tracing_context(
{
"parent": None,
"project_name": None,
@@ -119,10 +96,27 @@ def set_config_context(config: RunnableConfig) -> Generator[Context, None, None]
"metadata": None,
"enabled": None,
"client": None,
},
}
)
@contextmanager
def set_config_context(
config: RunnableConfig, run: Any = None
) -> Generator[Context, None, None]:
"""Set the child Runnable config + tracing context.
Args:
config (RunnableConfig): The config to set.
"""
ctx = copy_context()
config_token = ctx.run(_set_config_context, config, run)
try:
yield ctx
finally:
ctx.run(_unset_config_context, config_token, run)
# Before Python 3.11 native StrEnum is not available
class StrEnum(str, enum.Enum):
"""A string enum."""
@@ -254,7 +248,6 @@ class RunnableCallable(Runnable):
tags: Optional[Sequence[str]] = None,
trace: bool = True,
recurse: bool = True,
set_context: bool = True,
explode_args: bool = False,
func_accepts_config: Optional[bool] = None,
**kwargs: Any,
@@ -278,7 +271,6 @@ class RunnableCallable(Runnable):
self.kwargs = kwargs
self.trace = trace
self.recurse = recurse
self.set_context = set_context
self.explode_args = explode_args
# check signature
if func is None and afunc is None:
@@ -365,19 +357,21 @@ class RunnableCallable(Runnable):
)
try:
child_config = patch_config(config, callbacks=run_manager.get_child())
if self.set_context:
with set_config_context(child_config) as context:
ret = context.run(self.func, *args, **kwargs)
# get the run
for h in run_manager.handlers:
if isinstance(h, LangChainTracer):
run = h.run_map.get(str(run_manager.run_id))
break
else:
ret = self.func(*args, **kwargs)
run = None
# run in context
with set_config_context(child_config, run) as context:
ret = context.run(self.func, *args, **kwargs)
except BaseException as e:
run_manager.on_chain_error(e)
raise
else:
run_manager.on_chain_end(ret)
elif self.set_context:
with set_config_context(config) as context:
ret = context.run(self.func, *args, **kwargs)
else:
ret = self.func(*args, **kwargs)
if self.recurse and isinstance(ret, Runnable):
@@ -425,8 +419,14 @@ class RunnableCallable(Runnable):
try:
child_config = patch_config(config, callbacks=run_manager.get_child())
coro = cast(Coroutine[None, None, Any], self.afunc(*args, **kwargs))
if ASYNCIO_ACCEPTS_CONTEXT and self.set_context:
with set_config_context(child_config) as context:
if ASYNCIO_ACCEPTS_CONTEXT:
for h in run_manager.handlers:
if isinstance(h, LangChainTracer):
run = h.run_map.get(str(run_manager.run_id))
break
else:
run = None
with set_config_context(child_config, run) as context:
ret = await asyncio.create_task(coro, context=context)
else:
ret = await coro
@@ -435,10 +435,6 @@ class RunnableCallable(Runnable):
raise
else:
await run_manager.on_chain_end(ret)
elif ASYNCIO_ACCEPTS_CONTEXT and self.set_context:
with set_config_context(config) as context:
coro = cast(Coroutine[None, None, Any], self.afunc(*args, **kwargs))
ret = await asyncio.create_task(coro, context=context)
else:
ret = await self.afunc(*args, **kwargs)
if self.recurse and isinstance(ret, Runnable):
@@ -604,7 +600,6 @@ class RunnableSeq(Runnable):
name=config.get("run_name") or self.get_name(),
run_id=config.pop("run_id", None),
)
# invoke all steps in sequence
try:
for i, step in enumerate(self.steps):
@@ -612,8 +607,19 @@ class RunnableSeq(Runnable):
config = patch_config(
config, callbacks=run_manager.get_child(f"seq:step:{i + 1}")
)
# 1st step is the actual node,
# others are writers which don't need to be run in context
if i == 0:
input = step.invoke(input, config, **kwargs)
# get the run object
for h in run_manager.handlers:
if isinstance(h, LangChainTracer):
run = h.run_map.get(str(run_manager.run_id))
break
else:
run = None
# run in context
with set_config_context(config, run) as context:
input = context.run(step.invoke, input, config, **kwargs)
else:
input = step.invoke(input, config)
# finish the root run
@@ -649,8 +655,24 @@ class RunnableSeq(Runnable):
config = patch_config(
config, callbacks=run_manager.get_child(f"seq:step:{i + 1}")
)
# 1st step is the actual node,
# others are writers which don't need to be run in context
if i == 0:
input = await step.ainvoke(input, config, **kwargs)
if ASYNCIO_ACCEPTS_CONTEXT:
# get the run object
for h in run_manager.handlers:
if isinstance(h, LangChainTracer):
run = h.run_map.get(str(run_manager.run_id))
break
else:
run = None
# run in context
with set_config_context(config, run) as context:
input = await asyncio.create_task(
step.ainvoke(input, config, **kwargs), context=context
)
else:
input = await step.ainvoke(input, config, **kwargs)
else:
input = await step.ainvoke(input, config)
# finish the root run
@@ -678,53 +700,48 @@ class RunnableSeq(Runnable):
name=config.get("run_name") or self.get_name(),
run_id=config.pop("run_id", None),
)
try:
# stream the last steps
# transform the input stream of each step with the next
# steps that don't natively support transforming an input stream will
# buffer input in memory until all available, and then start emitting output
for idx, step in enumerate(self.steps):
config = patch_config(
config,
callbacks=run_manager.get_child(f"seq:step:{idx + 1}"),
)
if idx == 0:
iterator = step.stream(input, config, **kwargs)
else:
iterator = step.transform(iterator, config)
if _StreamingCallbackHandler is not None and (
stream_handler := next(
(
cast(_StreamingCallbackHandler, h)
for h in run_manager.handlers
if isinstance(h, _StreamingCallbackHandler)
),
None,
)
):
# populates streamed_output in astream_log() output if needed
iterator = stream_handler.tap_output_iter(run_manager.run_id, iterator)
output: Any = None
add_supported = False
for chunk in iterator:
yield chunk
# collect final output
if output is None:
output = chunk
elif add_supported:
try:
output = output + chunk
except TypeError:
output = chunk
add_supported = False
else:
output = chunk
except BaseException as e:
run_manager.on_chain_error(e)
raise
# get the run object
for h in run_manager.handlers:
if isinstance(h, LangChainTracer):
run = h.run_map.get(str(run_manager.run_id))
break
else:
run_manager.on_chain_end(output)
run = None
# create first step config
config = patch_config(
config,
callbacks=run_manager.get_child(f"seq:step:{1}"),
)
# run all in context
with set_config_context(config, run) as context:
try:
# stream the last steps
# transform the input stream of each step with the next
# steps that don't natively support transforming an input stream will
# buffer input in memory until all available, and then start emitting output
for idx, step in enumerate(self.steps):
if idx == 0:
iterator = step.stream(input, config, **kwargs)
else:
config = patch_config(
config,
callbacks=run_manager.get_child(f"seq:step:{idx + 1}"),
)
iterator = step.transform(iterator, config)
# populates streamed_output in astream_log() output if needed
if _StreamingCallbackHandler is not None:
for h in run_manager.handlers:
if isinstance(h, _StreamingCallbackHandler):
iterator = h.tap_output_iter(run_manager.run_id, iterator)
# consume into final output
output = context.run(_consume_iter, iterator)
# sequence doesn't emit output, yield to mark as generator
yield
except BaseException as e:
run_manager.on_chain_error(e)
raise
else:
run_manager.on_chain_end(output)
async def astream(
self,
@@ -743,53 +760,121 @@ class RunnableSeq(Runnable):
name=config.get("run_name") or self.get_name(),
run_id=config.pop("run_id", None),
)
try:
async with AsyncExitStack() as stack:
# stream the last steps
# transform the input stream of each step with the next
# steps that don't natively support transforming an input stream will
# buffer input in memory until all available, and then start emitting output
for idx, step in enumerate(self.steps):
config = patch_config(
config,
callbacks=run_manager.get_child(f"seq:step:{idx + 1}"),
)
if idx == 0:
aiterator = step.astream(input, config, **kwargs)
else:
aiterator = step.atransform(aiterator, config)
if hasattr(aiterator, "aclose"):
stack.push_async_callback(aiterator.aclose)
if _StreamingCallbackHandler is not None and (
stream_handler := next(
(
cast(_StreamingCallbackHandler, h)
for h in run_manager.handlers
if isinstance(h, _StreamingCallbackHandler)
),
None,
)
):
# populates streamed_output in astream_log() output if needed
aiterator = stream_handler.tap_output_aiter(
run_manager.run_id, aiterator
)
output: Any = None
add_supported = False
async for chunk in aiterator:
yield chunk
# collect final output
if add_supported:
try:
output = output + chunk
except TypeError:
output = chunk
add_supported = False
else:
output = chunk
except BaseException as e:
await run_manager.on_chain_error(e)
raise
# stream the last steps
# transform the input stream of each step with the next
# steps that don't natively support transforming an input stream will
# buffer input in memory until all available, and then start emitting output
if ASYNCIO_ACCEPTS_CONTEXT:
# get the run object
for h in run_manager.handlers:
if isinstance(h, LangChainTracer):
run = h.run_map.get(str(run_manager.run_id))
break
else:
run = None
# create first step config
config = patch_config(
config,
callbacks=run_manager.get_child(f"seq:step:{1}"),
)
# run all in context
with set_config_context(config, run) as context:
try:
async with AsyncExitStack() as stack:
for idx, step in enumerate(self.steps):
if idx == 0:
aiterator = step.astream(input, config, **kwargs)
else:
config = patch_config(
config,
callbacks=run_manager.get_child(
f"seq:step:{idx + 1}"
),
)
aiterator = step.atransform(aiterator, config)
if hasattr(aiterator, "aclose"):
stack.push_async_callback(aiterator.aclose)
# populates streamed_output in astream_log() output if needed
if _StreamingCallbackHandler is not None:
for h in run_manager.handlers:
if isinstance(h, _StreamingCallbackHandler):
aiterator = h.tap_output_aiter(
run_manager.run_id, aiterator
)
# consume into final output
output = await asyncio.create_task(
_consume_aiter(aiterator), context=context
)
# sequence doesn't emit output, yield to mark as generator
yield
except BaseException as e:
await run_manager.on_chain_error(e)
raise
else:
await run_manager.on_chain_end(output)
else:
await run_manager.on_chain_end(output)
try:
async with AsyncExitStack() as stack:
for idx, step in enumerate(self.steps):
config = patch_config(
config,
callbacks=run_manager.get_child(f"seq:step:{idx + 1}"),
)
if idx == 0:
aiterator = step.astream(input, config, **kwargs)
else:
aiterator = step.atransform(aiterator, config)
if hasattr(aiterator, "aclose"):
stack.push_async_callback(aiterator.aclose)
# populates streamed_output in astream_log() output if needed
if _StreamingCallbackHandler is not None:
for h in run_manager.handlers:
if isinstance(h, _StreamingCallbackHandler):
aiterator = h.tap_output_aiter(
run_manager.run_id, aiterator
)
# consume into final output
output = await _consume_aiter(aiterator)
# sequence doesn't emit output, yield to mark as generator
yield
except BaseException as e:
await run_manager.on_chain_error(e)
raise
else:
await run_manager.on_chain_end(output)
def _consume_iter(it: Iterator[Any]) -> Any:
"""Consume an iterator."""
output: Any = None
add_supported = False
for chunk in it:
# collect final output
if output is None:
output = chunk
elif add_supported:
try:
output = output + chunk
except TypeError:
output = chunk
add_supported = False
else:
output = chunk
return output
async def _consume_aiter(it: AsyncIterator[Any]) -> Any:
"""Consume an async iterator."""
output: Any = None
add_supported = False
async for chunk in it:
# collect final output
if add_supported:
try:
output = output + chunk
except TypeError:
output = chunk
add_supported = False
else:
output = chunk
return output
+1 -1
View File
@@ -1,6 +1,6 @@
[tool.poetry]
name = "langgraph"
version = "0.3.28"
version = "0.3.29"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
license = "MIT"
+4 -4
View File
@@ -4660,7 +4660,7 @@ def test_root_graph(
content="result for query",
name="search_api",
tool_call_id="tool_call123",
id="00000000-0000-4000-8000-000000000040",
id="00000000-0000-4000-8000-000000000024",
)
]
},
@@ -4683,7 +4683,7 @@ def test_root_graph(
content="result for another",
name="search_api",
tool_call_id="tool_call456",
id="00000000-0000-4000-8000-000000000049",
id="00000000-0000-4000-8000-000000000030",
)
]
},
@@ -5387,7 +5387,7 @@ def test_root_graph(
"__root__": [
HumanMessage(
content="what is weather in sf",
id="00000000-0000-4000-8000-000000000083",
id="00000000-0000-4000-8000-000000000051",
),
AIMessage(
content="",
@@ -5407,7 +5407,7 @@ def test_root_graph(
),
AIMessage(content="answer", id="ai2"),
AIMessage(
content="an extra message", id="00000000-0000-4000-8000-000000000107"
content="an extra message", id="00000000-0000-4000-8000-000000000066"
),
HumanMessage(content="what is weather in la"),
],