diff --git a/.github/ISSUE_TEMPLATE/privileged.yml b/.github/ISSUE_TEMPLATE/privileged.yml index f258be6ee..47210dde1 100644 --- a/.github/ISSUE_TEMPLATE/privileged.yml +++ b/.github/ISSUE_TEMPLATE/privileged.yml @@ -23,3 +23,7 @@ body: attributes: label: Issue Content description: Add the content of the issue here. + - type: markdown + attributes: + value: | + Community members should **NOT** work on Privileged issues unless these issues have been explicitly marked with a "help-wanted" tag. diff --git a/.github/workflows/codespell.yml b/.github/workflows/codespell.yml index c00bb42ae..a4d9f9c41 100644 --- a/.github/workflows/codespell.yml +++ b/.github/workflows/codespell.yml @@ -34,7 +34,7 @@ id: extract_ignore_words - name: Codespell - uses: codespell-project/actions-codespell@v2.0 + uses: codespell-project/actions-codespell@v2.1 with: skip: '*.ambr,*.lock,*.ipynb,*.yaml,*.zlib,*.css.map,*.js.map' ignore_words_list: ${{ steps.extract_ignore_words.outputs.ignore_words_list }} diff --git a/docs/docs/cloud/deployment/egress.md b/docs/docs/cloud/deployment/egress.md new file mode 100644 index 000000000..40e149402 --- /dev/null +++ b/docs/docs/cloud/deployment/egress.md @@ -0,0 +1,119 @@ +# Egress for Subscription Metrics and Operational Metadata + +> **Important: Self Hosted Only** +> This section only applies to customers who are not running in offline mode and assumes you are using a self-hosted LangGraph Platform instance. +> This does not apply to SaaS or Hybrid deployments. + +Self-Hosted LangGraph Platform instances store all information locally and will never send sensitive information outside of your network. We currently only track platform usage for billing purposes according to the entitlements in your order. In order to better remotely support our customers, we do require egress to `https://beacon.langchain.com`. + +In the future, we will be introducing support diagnostics to help us ensure that the LangGraph Platform is running at an optimal level within your environment. + +> **Warning** +> **This will require egress to `https://beacon.langchain.com` from your network.** +> **If using an API key, you will also need to allow egress to `https://api.smith.langchain.com` or `https://eu.api.smith.langchain.com` for API key verification.** + +Generally, data that we send to Beacon can be categorized as follows: + +- **Subscription Metrics** + - Subscription metrics are used to determine level of access and utilization of LangSmith. This includes, but are not limited to: + - Nodes Executed + - Runs Executed + - License Key Verification +- **Operational Metadata** + - This metadata will contain and collect the above subscription metrics to assist with remote support, allowing the LangChain team to diagnose and troubleshoot performance issues more effectively and proactively. + +## Example Payloads + +In an effort to maximize transparency, we provide sample payloads here: + +### License Verification (If using an Enterprise License) + +**Endpoint:** + +`POST beacon.langchain.com/v1/beacon/verify` + +**Request:** + +```json +{ + "license": "" +} +``` + +**Response:** + +```json +{ + "token": "Valid JWT" // Short-lived JWT token to avoid repeated license checks +} +``` + +### Api Key Verification (If using a LangSmith API Key) + +**Endpoint:** +`POST api.smith.langchain.com/auth` + +**Request:** + +```json +"Headers": { + X-Api-Key: +} +``` + +**Response:** + +```json +{ + "org_config": { + "org_id": "3a1c2b6f-4430-4b92-8a5b-79b8b567bbc1", + ... // Additional organization details + } +} +``` + +### Usage Reporting + +**Endpoint:** + +`POST beacon.langchain.com/v1/metadata/submit` + +**Request:** + +```json +{ + "license": "", + "from_timestamp": "2025-01-06T09:00:00Z", + "to_timestamp": "2025-01-06T10:00:00Z", + "tags": { + "langgraph.python.version": "0.1.0", + "langgraph_api.version": "0.2.0", + "langgraph.platform.revision": "abc123", + "langgraph.platform.variant": "standard", + "langgraph.platform.host": "host-1", + "langgraph.platform.tenant_id": "3a1c2b6f-4430-4b92-8a5b-79b8b567bbc1", + "langgraph.platform.project_id": "c5b5f53a-4716-4326-8967-d4f7f7799735", + "langgraph.platform.plan": "enterprise", + "user_app.uses_indexing": "true", + "user_app.uses_custom_app": "false", + "user_app.uses_custom_auth": "true", + "user_app.uses_thread_ttl": "true", + "user_app.uses_store_ttl": "false" + }, + "measures": { + "langgraph.platform.runs": 150, + "langgraph.platform.nodes": 450 + }, + "logs": [] +} +``` + +**Response:** + +```json +"204 No Content" +``` + +## Our Commitment + +LangChain will not store any sensitive information in the Subscription Metrics or Operational Metadata. Any data collected will not be shared with a third party. If you have any concerns about the data being sent, please reach out to your account team. diff --git a/docs/docs/cloud/deployment/self_hosted_control_plane.md b/docs/docs/cloud/deployment/self_hosted_control_plane.md index 0a8575080..14905ac79 100644 --- a/docs/docs/cloud/deployment/self_hosted_control_plane.md +++ b/docs/docs/cloud/deployment/self_hosted_control_plane.md @@ -23,6 +23,8 @@ Before deploying, review the [conceptual guide for the Self-Hosted Control Plane kubectl get storageclass +1. Egress to `https://beacon.langchain.com` from your network. This is required for license verification and usage reporting if not running in air-gapped mode. See the [Egress documentation](../../cloud/deployment/egress.md) for more details. + ## Setup 1. As part of configuring your Self-Hosted LangSmith instance, you enable the `langgraphPlatform` option. This will provision a few key resources. diff --git a/docs/docs/cloud/deployment/standalone_container.md b/docs/docs/cloud/deployment/standalone_container.md index 4e0015bbc..ac5fa1527 100644 --- a/docs/docs/cloud/deployment/standalone_container.md +++ b/docs/docs/cloud/deployment/standalone_container.md @@ -24,6 +24,7 @@ Before deploying, review the [conceptual guide for the Standalone Container](../ 1. `LANGSMITH_API_KEY`: (if using [Lite](../../concepts/langgraph_server.md#server-versions)) LangSmith API key. This will be used to authenticate ONCE at server start up. 1. `LANGGRAPH_CLOUD_LICENSE_KEY`: (if using [Enterprise](../../concepts/langgraph_data_plane.md#licensing)) LangGraph Platform license key. This will be used to authenticate ONCE at server start up. 1. `LANGSMITH_ENDPOINT`: To send traces to a [self-hosted LangSmith](https://docs.smith.langchain.com/self_hosting) instance, set `LANGSMITH_ENDPOINT` to the hostname of the self-hosted LangSmith instance. +1. Egress to `https://beacon.langchain.com` from your network. This is required for license verification and usage reporting if not running in air-gapped mode. See the [Egress documentation](../../cloud/deployment/egress.md) for more details. ## Kubernetes (Helm) diff --git a/docs/docs/cloud/how-tos/generative_ui_react.md b/docs/docs/cloud/how-tos/generative_ui_react.md index 428723e1e..d5e131d61 100644 --- a/docs/docs/cloud/how-tos/generative_ui_react.md +++ b/docs/docs/cloud/how-tos/generative_ui_react.md @@ -30,17 +30,33 @@ export default { Next, define your UI components in your `langgraph.json` configuration: -```json -{ - "node_version": "20", - "graphs": { - "agent": "./src/agent/index.ts:graph" - }, - "ui": { - "agent": "./src/agent/ui.tsx" - } -} -``` +=== "Python agent" + + ```json title="langgraph.json" + { + "node_version": "20", + "graphs": { + "agent": "./src/agent.py:graph" + }, + "ui": { + "agent": "./src/agent/ui.tsx" + } + } + ``` + +=== "JS agent" + + ```json title="langgraph.json" + { + "node_version": "20", + "graphs": { + "agent": "./src/agent/index.ts:graph" + }, + "ui": { + "agent": "./src/agent/ui.tsx" + } + } + ``` The `ui` section points to the UI components that will be used by graphs. By default, we recommend using the same key as the graph name, but you can split out the components however you like, see [Customise the namespace of UI components](#customise-the-namespace-of-ui-components) for more details. diff --git a/docs/docs/cloud/how-tos/webhooks.md b/docs/docs/cloud/how-tos/webhooks.md index 59509c774..12e7a62b2 100644 --- a/docs/docs/cloud/how-tos/webhooks.md +++ b/docs/docs/cloud/how-tos/webhooks.md @@ -140,6 +140,22 @@ https://my-server.app/my-webhook-endpoint?token=YOUR_SECRET_TOKEN Your server should extract and validate this token before processing requests. +## Disable webhooks + +As of `langgraph-api>=0.2.78`, developers can disable webhooks in the `langgraph.json` file: + +```json +{ + "http": { + "disable_webhooks": true + } +} +``` + +This feature is primarily intended for self-hosted deployments, where platform administrators or developers may prefer to disable webhooks to simplify their security posture—especially if they are not configuring firewall rules or other network controls. Disabling webhooks helps prevent untrusted payloads from being sent to internal endpoints. + +For full configuration details, refer to the [configuration file reference](https://langchain-ai.github.io/langgraph/cloud/reference/cli/?h=disable_webhooks#configuration-file). + ## Test webhooks You can test your webhook using online services like: diff --git a/docs/docs/cloud/reference/cli.md b/docs/docs/cloud/reference/cli.md index 87f405cba..b2a45bf61 100644 --- a/docs/docs/cloud/reference/cli.md +++ b/docs/docs/cloud/reference/cli.md @@ -409,8 +409,8 @@ The LangGraph CLI requires a JSON configuration file that follows this [schema]( | Option | Default | Description | | ---------------------------- | ------------------------- | ----------------------------------------------------------------------------------------------------------------------- | | `--wait` | | Wait for services to start before returning. Implies --detach | -| `--base-image TEXT` | `langchain/langgraph-api` | Base image to use for the LangGraph API server. Pin to specific versions using version tags. | -| `--image TEXT` | | Docker image to use for the langgraph-api service. If specified, skips building and uses this image directly. | + | `--base-image TEXT` | `langchain/langgraph-api` | Base image to use for the LangGraph API server. Pin to specific versions using version tags. | + | `--image TEXT` | | Docker image to use for the langgraph-api service. If specified, skips building and uses this image directly. | | `--postgres-uri TEXT` | Local database | Postgres URI to use for the database. | | `--watch` | | Restart on file changes | | `--debugger-base-url TEXT` | `http://127.0.0.1:[PORT]` | URL used by the debugger to access LangGraph API. | @@ -438,8 +438,8 @@ The LangGraph CLI requires a JSON configuration file that follows this [schema]( | Option | Default | Description | | ---------------------------------------------------------------------- | ------------------------- | ----------------------------------------------------------------------------------------------------------------------- | | `--wait` | | Wait for services to start before returning. Implies --detach | -| `--base-image TEXT` | `langchain/langgraph-api` | Base image to use for the LangGraph API server. Pin to specific versions using version tags. | -| `--image TEXT` | | Docker image to use for the langgraph-api service. If specified, skips building and uses this image directly. | + | `--base-image TEXT` | `langchain/langgraph-api` | Base image to use for the LangGraph API server. Pin to specific versions using version tags. | + | `--image TEXT` | | Docker image to use for the langgraph-api service. If specified, skips building and uses this image directly. | | `--postgres-uri TEXT` | Local database | Postgres URI to use for the database. | | `--watch` | | Restart on file changes | | `-c, --config FILE` | `langgraph.json` | Path to configuration file declaring dependencies, graphs and environment variables. | diff --git a/docs/docs/cloud/reference/env_var.md b/docs/docs/cloud/reference/env_var.md index 333508d96..e24270c13 100644 --- a/docs/docs/cloud/reference/env_var.md +++ b/docs/docs/cloud/reference/env_var.md @@ -28,6 +28,9 @@ Specify `DD_API_KEY` (your [Datadog API Key](https://docs.datadoghq.com/account_ If `DD_API_KEY` is specified, the application process is wrapped in the [`ddtrace-run` command](https://ddtrace.readthedocs.io/en/stable/installation_quickstart.html). Other `DD_*` environment variables (e.g. `DD_SITE`, `DD_ENV`, `DD_SERVICE`, `DD_TRACE_ENABLED`) are typically needed to properly configure the tracing instrumentation. See [`DD_*` environment variables](https://ddtrace.readthedocs.io/en/stable/configuration.html) for more details. +!!! note + Enabling `DD_API_KEY` (and thus `ddtrace-run`) can override or interfere with other auto-instrumentation solutions (such as OpenTelemetry) that you may have instrumented into your application code. + ## `LANGCHAIN_TRACING_SAMPLING_RATE` Sampling rate for traces sent to LangSmith. Valid values: Any float between `0` and `1`. diff --git a/docs/docs/cloud/reference/langgraph_server_changelog.md b/docs/docs/cloud/reference/langgraph_server_changelog.md index 6bb2a9cbb..66e1702af 100644 --- a/docs/docs/cloud/reference/langgraph_server_changelog.md +++ b/docs/docs/cloud/reference/langgraph_server_changelog.md @@ -4,6 +4,17 @@ --- +## v0.2.96 (2025-07-17) +- Added a fallback mechanism for configurable header patterns to handle exclude/include settings more effectively. + +## v0.2.95 (2025-07-17) +- Avoided setting the future if it is already done to prevent redundant operations. +- Resolved compatibility errors in CI by switching from `typing.TypedDict` to `typing_extensions.TypedDict` for Python versions below 3.12. + +## v0.2.94 (2025-07-16) +- Improved performance by omitting pending sends for langgraph versions 0.5 and above. +- Improved server startup logs to provide clearer warnings when the DD_API_KEY environment variable is set. + ## v0.2.93 (2025-07-16) - Removed the GIN index for run metadata to improve performance. diff --git a/docs/docs/concepts/deployment_options.md b/docs/docs/concepts/deployment_options.md index 247a392f8..da3ee2d9d 100644 --- a/docs/docs/concepts/deployment_options.md +++ b/docs/docs/concepts/deployment_options.md @@ -10,7 +10,7 @@ search: There are two free options for deploying LangGraph applications via the LangGraph Server: 1. [Local](../tutorials/langgraph-platform/local-server.md): Deploy for local testing and development. -1. [Standalone Container (Lite)](../concepts/langgraph_standalone_container.md): A limited version of Standalone Container for deployments unlikely to see more that 1 million node executions per year and that do not need crons and other enterprise features. Standalone Container (Lite) deployment option is free with a LangSmith API key. +1. [Standalone Container (Lite)](../concepts/langgraph_standalone_container.md): A limited version of Standalone Container for deployments unlikely to see more than 1 million node executions per year and that do not need crons and other enterprise features. Standalone Container (Lite) deployment option is free with a LangSmith API key. ## Production deployment diff --git a/docs/docs/concepts/low_level.md b/docs/docs/concepts/low_level.md index 821bf0fcc..62b02125c 100644 --- a/docs/docs/concepts/low_level.md +++ b/docs/docs/concepts/low_level.md @@ -45,7 +45,7 @@ The first thing you do when you define a graph is define the `State` of the grap ### Schema -The main documented way to specify the schema of a graph is by using `TypedDict`. However, we also support [using a Pydantic BaseModel](../how-tos/graph-api.md#use-pydantic-models-for-graph-state) as your graph state to add **default values** and additional data validation. +The main documented way to specify the schema of a graph is by using a [`TypedDict`](https://docs.python.org/3/library/typing.html#typing.TypedDict). If you want to provide default values in your state, use a [`dataclass`](https://docs.python.org/3/library/dataclasses.html). We also support using a Pydantic [BaseModel](../how-tos/graph-api.md#use-pydantic-models-for-graph-state) as your graph state if you want recursive data validation (though note that pydantic is less performant than a `TypedDict` or `dataclass`). By default, the graph will have the same input and output schemas. If you want to change this, you can also specify explicit input and output schemas directly. This is useful when you have a lot of keys, and some are explicitly for input and others for output. See the [guide here](../how-tos/graph-api.md#define-input-and-output-schemas) for how to use. diff --git a/docs/docs/concepts/tracing.md b/docs/docs/concepts/tracing.md new file mode 100644 index 000000000..a9aa954c3 --- /dev/null +++ b/docs/docs/concepts/tracing.md @@ -0,0 +1,17 @@ +# Tracing + +Traces are a series of steps that your application takes to go from input to output. Each of these individual steps is represented by a run. You can use [LangSmith](https://smith.langchain.com/) to visualize these execution steps. To use it, [enable tracing for your application](../how-tos/enable-tracing.md). This enables you to do the following: + +- [Debug a locally running application](../cloud/how-tos/clone_traces_studio.md). +- [Evaluate the application performance](../agents/evals.md). +- [Monitor the application](https://docs.smith.langchain.com/observability/how_to_guides/dashboards). + +To get started, sign up for a free account at [LangSmith](https://smith.langchain.com/). + +## Learn more + +- [Graph runs in LangSmith](../how-tos/run-id-langsmith.md) +- [LangSmith Observability quickstart](https://docs.smith.langchain.com/observability) +- [Trace with LangGraph](https://docs.smith.langchain.com/observability/how_to_guides/trace_with_langgraph) +- [Tracing conceptual guide](https://docs.smith.langchain.com/observability/concepts#traces) + diff --git a/docs/docs/guides/index.md b/docs/docs/guides/index.md index 7a5098dc5..d8a29643f 100644 --- a/docs/docs/guides/index.md +++ b/docs/docs/guides/index.md @@ -2,6 +2,11 @@ The pages in this section provide a conceptual overview and how-tos for the following topics: +## Agent development + +- [Overview](../agents/overview.md): Use prebuilt components to build an agent. +- [Run an agent](../agents/run_agents.md): Run an agent by providing input, interpreting output, enabling streaming, and controlling execution limits. + ## LangGraph APIs - [Graph API](../concepts/low_level.md): Use the Graph API to define workflows using a graph paradigm. diff --git a/docs/docs/how-tos/autogen-integration.md b/docs/docs/how-tos/autogen-integration.md index efbcf3d30..905018a29 100644 --- a/docs/docs/how-tos/autogen-integration.md +++ b/docs/docs/how-tos/autogen-integration.md @@ -290,7 +290,7 @@ my-autogen-agent/ ``` langgraph>=0.1.0 - pyautogen>=0.2.0 + ag2>=0.2.0 langchain-core>=0.1.0 langchain-openai>=0.0.5 ``` diff --git a/docs/docs/how-tos/enable-tracing.md b/docs/docs/how-tos/enable-tracing.md new file mode 100644 index 000000000..d1273b6d3 --- /dev/null +++ b/docs/docs/how-tos/enable-tracing.md @@ -0,0 +1,16 @@ +# Enable tracing for your application + +To enable [tracing](../concepts/tracing.md) for your application, set the following environment variables: + +```python +export LANGSMITH_TRACING=true +export LANGSMITH_API_KEY= +``` + +For more information, see [Trace with LangGraph](https://docs.smith.langchain.com/observability/how_to_guides/trace_with_langgraph). + +## Learn more + +- [Graph runs in LangSmith](../how-tos/run-id-langsmith.md) +- [LangSmith Observability quickstart](https://docs.smith.langchain.com/observability) +- [Tracing conceptual guide](https://docs.smith.langchain.com/observability/concepts#traces) \ No newline at end of file diff --git a/docs/docs/how-tos/graph-api.md b/docs/docs/how-tos/graph-api.md index 778c2b802..f36ae584e 100644 --- a/docs/docs/how-tos/graph-api.md +++ b/docs/docs/how-tos/graph-api.md @@ -328,14 +328,15 @@ Output of graph invocation: {'a': 'set by node_3'} A [StateGraph](https://langchain-ai.github.io/langgraph/reference/graphs.md#langgraph.graph.StateGraph) accepts a `state_schema` argument on initialization that specifies the "shape" of the state that the nodes in the graph can access and update. -In our examples, we typically use a python-native `TypedDict` for `state_schema`, but `state_schema` can be any [type](https://docs.python.org/3/library/stdtypes.html#type-objects). +In our examples, we typically use a python-native `TypedDict` or [`dataclass`](https://docs.python.org/3/library/dataclasses.html) for `state_schema`, but `state_schema` can be any [type](https://docs.python.org/3/library/stdtypes.html#type-objects). -Here, we'll see how a [Pydantic BaseModel](https://docs.pydantic.dev/latest/api/base_model/). can be used for `state_schema` to add run time validation on **inputs**. +Here, we'll see how a [Pydantic BaseModel](https://docs.pydantic.dev/latest/api/base_model/) can be used for `state_schema` to add run-time validation on **inputs**. !!! note "Known Limitations" - Currently, the output of the graph will **NOT** be an instance of a pydantic model. - Run-time validation only occurs on inputs into nodes, not on the outputs. - The validation error trace from pydantic does not show which node the error arises in. + - Pydantic's recursive validation can be slow. For performance-sensitive applications, you may want to consider using a `dataclass` instead. ```python from langgraph.graph import StateGraph, START, END @@ -1151,12 +1152,13 @@ LangGraph supports map-reduce and other advanced branching patterns using the Se ```python from langgraph.graph import StateGraph, START, END from langgraph.types import Send -from typing_extensions import TypedDict +from typing_extensions import TypedDict, Annotated +import operator class OverallState(TypedDict): topic: str subjects: list[str] - jokes: list[str] + jokes: Annotated[list[str], operator.add] best_selected_joke: str def generate_topics(state: OverallState): @@ -1565,9 +1567,9 @@ class State(TypedDict): def node_a(state: State) -> Command[Literal["node_b", "node_c"]]: print("Called A") - value = random.choice(["a", "b"]) + value = random.choice(["b", "c"]) # this is a replacement for a conditional edge function - if value == "a": + if value == "b": goto = "node_b" else: goto = "node_c" diff --git a/docs/docs/how-tos/observability.md b/docs/docs/how-tos/observability.md deleted file mode 100644 index d21656eeb..000000000 --- a/docs/docs/how-tos/observability.md +++ /dev/null @@ -1,21 +0,0 @@ -# Observability - -Use [LangSmith](https://smith.langchain.com/) to visualize the execution of a LangGraph application and do the following: - -- [Enable tracing for your application](#enable-tracing-for-your-application). -- [Debug a locally running application](../cloud/how-tos/clone_traces_studio.md). -- [Evaluate the application performance](../agents/evals.md). -- [Monitor the application](https://docs.smith.langchain.com/observability/how_to_guides/dashboards). - -To get started, sign up for a free account at [LangSmith](https://smith.langchain.com/). - -## Enable tracing for your application - -To use LangSmith with your LangGraph application, enable tracing: - -```python -export LANGSMITH_TRACING=true -export LANGSMITH_API_KEY= -``` - -For more information, see [Trace with LangGraph](https://docs.smith.langchain.com/observability/how_to_guides/trace_with_langgraph). \ No newline at end of file diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml index a3f6961d1..e76332942 100644 --- a/docs/mkdocs.yml +++ b/docs/mkdocs.yml @@ -103,14 +103,15 @@ nav: - 5. Customize state: tutorials/get-started/5-customize-state.md - 6. Time travel: tutorials/get-started/6-time-travel.md - Run a local server: tutorials/langgraph-platform/local-server.md - - Agent development: + - General concepts: - Workflows & agents: tutorials/workflows.md - - Prebuilt components: agents/overview.md - - Run an agent: agents/run_agents.md - Agent architectures: concepts/agentic_concepts.md - Guides: - guides/index.md + - Agent development: + - Overview: agents/overview.md + - Run an agent: agents/run_agents.md - LangGraph APIs: - Graph API: - Overview: concepts/low_level.md @@ -157,8 +158,9 @@ nav: - Overview: concepts/mcp.md - Use MCP: agents/mcp.md - Server API: concepts/server-mcp.md - - Observability: - - Overview: how-tos/observability.md + - Tracing: + - Overview: concepts/tracing.md + - Enable tracing: how-tos/enable-tracing.md - Evaluate performance: agents/evals.md - Platform-only capabilities: - LangGraph Platform: diff --git a/libs/checkpoint-postgres/uv.lock b/libs/checkpoint-postgres/uv.lock index a35ac72cf..343c49a2d 100644 --- a/libs/checkpoint-postgres/uv.lock +++ b/libs/checkpoint-postgres/uv.lock @@ -304,7 +304,7 @@ wheels = [ [[package]] name = "langgraph-checkpoint" -version = "2.1.0" +version = "2.1.1" source = { editable = "../checkpoint" } dependencies = [ { name = "langchain-core" }, diff --git a/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/__init__.py b/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/__init__.py index e716b1f47..e2907fe80 100644 --- a/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/__init__.py +++ b/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/__init__.py @@ -29,7 +29,7 @@ _AIO_ERROR_MSG = ( "from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver\n" "Note: AsyncSqliteSaver requires the aiosqlite package to use.\n" "Install with:\n`pip install aiosqlite`\n" - "See https://langchain-ai.github.io/langgraph/reference/checkpoints/asyncsqlitesaver" + "See https://langchain-ai.github.io/langgraph/reference/checkpoints/#langgraph.checkpoint.sqlite.aio.AsyncSqliteSaver" "for more information." ) diff --git a/libs/checkpoint-sqlite/uv.lock b/libs/checkpoint-sqlite/uv.lock index 9eca0f9d7..711f8c904 100644 --- a/libs/checkpoint-sqlite/uv.lock +++ b/libs/checkpoint-sqlite/uv.lock @@ -316,7 +316,7 @@ wheels = [ [[package]] name = "langgraph-checkpoint" -version = "2.1.0" +version = "2.1.1" source = { editable = "../checkpoint" } dependencies = [ { name = "langchain-core" }, diff --git a/libs/checkpoint/langgraph/store/base/batch.py b/libs/checkpoint/langgraph/store/base/batch.py index 7d9daad4a..e581a8bc5 100644 --- a/libs/checkpoint/langgraph/store/base/batch.py +++ b/libs/checkpoint/langgraph/store/base/batch.py @@ -343,10 +343,14 @@ async def _run( # set the results of each operation for fut, result in zip(futs, results): - fut.set_result(result) + # guard against future being done (e.g. cancelled) + if not fut.done(): + fut.set_result(result) except Exception as e: for fut in futs: - fut.set_exception(e) + # guard against future being done (e.g. cancelled) + if not fut.done(): + fut.set_exception(e) finally: # remove strong ref to store del s diff --git a/libs/checkpoint/pyproject.toml b/libs/checkpoint/pyproject.toml index b7bc90bce..647e757e0 100644 --- a/libs/checkpoint/pyproject.toml +++ b/libs/checkpoint/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "hatchling.build" [project] name = "langgraph-checkpoint" -version = "2.1.0" +version = "2.1.1" description = "Library with base interfaces for LangGraph checkpoint savers." authors = [] requires-python = ">=3.9" diff --git a/libs/checkpoint/tests/test_store.py b/libs/checkpoint/tests/test_store.py index 8bdabf80d..75774ef09 100644 --- a/libs/checkpoint/tests/test_store.py +++ b/libs/checkpoint/tests/test_store.py @@ -155,6 +155,43 @@ async def test_async_batch_store(mocker: MockerFixture) -> None: ] +async def test_async_batch_store_handles_cancellation() -> None: + class MockStore(AsyncBatchedBaseStore): + def batch(self, ops: Iterable[Op]) -> list[Result]: + raise NotImplementedError + + async def abatch(self, ops: Iterable[Op]) -> list[Result]: + assert all(isinstance(op, GetOp) for op in ops) + return [ + Item( + value={}, + key=getattr(op, "key", ""), + namespace=getattr(op, "namespace", ()), + created_at=datetime(2024, 9, 24, 17, 29, 10, 128397), + updated_at=datetime(2024, 9, 24, 17, 29, 10, 128397), + ) + for op in ops + ] + + store = MockStore() + + # Simulate cancellation + task = asyncio.create_task(store.aget(namespace=("a",), key="b")) + await asyncio.sleep(0) + task.cancel() + await asyncio.sleep(0) + + # Cancelling individual queries against the store should not break the store + result = await store.aget(namespace=("c",), key="d") + assert result == Item( + value={}, + key="d", + namespace=("c",), + created_at=datetime(2024, 9, 24, 17, 29, 10, 128397), + updated_at=datetime(2024, 9, 24, 17, 29, 10, 128397), + ) + + def test_list_namespaces_basic() -> None: store = InMemoryStore() diff --git a/libs/checkpoint/uv.lock b/libs/checkpoint/uv.lock index 8e9c0ea3b..4a39de103 100644 --- a/libs/checkpoint/uv.lock +++ b/libs/checkpoint/uv.lock @@ -323,7 +323,7 @@ wheels = [ [[package]] name = "langgraph-checkpoint" -version = "2.1.0" +version = "2.1.1" source = { editable = "." } dependencies = [ { name = "langchain-core" }, diff --git a/libs/cli/pyproject.toml b/libs/cli/pyproject.toml index 40a3bc638..757e92b55 100644 --- a/libs/cli/pyproject.toml +++ b/libs/cli/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "hatchling.build" [project] name = "langgraph-cli" -version = "0.3.4" +version = "0.3.5" description = "CLI for interacting with LangGraph API" authors = [] requires-python = ">=3.9" diff --git a/libs/cli/uv.lock b/libs/cli/uv.lock index 948d3f499..c3bc3e0a7 100644 --- a/libs/cli/uv.lock +++ b/libs/cli/uv.lock @@ -30,25 +30,34 @@ wheels = 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if isinstance(command.goto, Send): - rtn.append((TASKS, command.goto)) - elif isinstance(command.goto, str): - rtn.append((_CHANNEL_BRANCH_TO.format(command.goto), None)) - else: - rtn.extend( - (TASKS, go) - if isinstance(go, Send) - else (_CHANNEL_BRANCH_TO.format(go), None) - for go in command.goto - ) + + goto_targets = ( + [command.goto] if isinstance(command.goto, (Send, str)) else command.goto + ) + + for go in goto_targets: + if isinstance(go, Send): + rtn.append((TASKS, go)) + elif isinstance(go, str) and go != END: + # END is a special case, it's not actually a node in a practical sense + # but rather a special terminal node that we don't need to branch to + rtn.append((CHANNEL_BRANCH_TO.format(go), None)) return rtn diff --git a/libs/langgraph/tests/test_large_cases.py b/libs/langgraph/tests/test_large_cases.py index 6f5877966..562cdc256 100644 --- a/libs/langgraph/tests/test_large_cases.py +++ b/libs/langgraph/tests/test_large_cases.py @@ -6932,3 +6932,30 @@ def test_weather_subgraph( }, ), ] + + +def test_subgraph_to_end_does_not_warn() -> None: + """Regression test for https://github.com/langchain-ai/langgraph/issues/5572.""" + + class State(TypedDict): + x: str + + def update_x(state: State): + return Command(goto=END, update={"x": state["x"] + "!"}) + + # Subgraph + subgraph_builder = StateGraph(State) + subgraph_builder.add_node("update_x", update_x) + subgraph_builder.add_edge(START, "update_x") + subgraph_builder.add_edge("update_x", END) + subgraph = subgraph_builder.compile() + + # Parent graph + builder = StateGraph(State) + builder.add_node("subgraph_node", subgraph) + builder.add_edge(START, "subgraph_node") + builder.add_edge("subgraph_node", END) + graph = builder.compile() + + response = graph.invoke({"x": "hello"}) + print(response) diff --git a/libs/langgraph/uv.lock b/libs/langgraph/uv.lock index 2d27e91a1..2b70d004e 100644 --- a/libs/langgraph/uv.lock +++ b/libs/langgraph/uv.lock @@ -1301,7 +1301,7 @@ wheels = [ [[package]] name = "langgraph-checkpoint" -version = "2.1.0" +version = "2.1.1" source = { editable = "../checkpoint" } dependencies = [ { name = "langchain-core" }, diff --git a/libs/prebuilt/Makefile b/libs/prebuilt/Makefile index d62e65e3a..aef3028e5 100644 --- a/libs/prebuilt/Makefile +++ b/libs/prebuilt/Makefile @@ -52,7 +52,7 @@ lint lint_diff lint_package lint_tests: format format_diff: uv run ruff format $(PYTHON_FILES) - uv run ruff check --select I --fix $(PYTHON_FILES) + uv run ruff check --fix $(PYTHON_FILES) spell_check: uv run codespell --toml pyproject.toml diff --git a/libs/prebuilt/langgraph/prebuilt/_internal.py b/libs/prebuilt/langgraph/prebuilt/_internal.py new file mode 100644 index 000000000..a5d66211c --- /dev/null +++ b/libs/prebuilt/langgraph/prebuilt/_internal.py @@ -0,0 +1,26 @@ +from typing import Any, Literal, TypedDict + +from langchain_core.messages import ToolCall + + +class ToolCallWithContext(TypedDict): + """ToolCall with additional context for graph state. + + This is an internal data-structure meant to help the ToolNode accept + tools calls with additional context (e.g. state) when dispatched using the + `Send` API. + + The Send API is used in create_react_agent to be able to distribute the tool + calls in parallel and support human-in-the-loop workflows where graph execution + may be paused for an indefinite time. + """ + + tool_call: ToolCall + __type: Literal["tool_call_with_context"] + """Type to parameterize the payload. + + Using "__" as a prefix to be defensive against potential name collisions with + regular user state. + """ + state: Any + """The state is provided as additional context.""" diff --git a/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py b/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py index ee86d0ad8..7b63c528c 100644 --- a/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py +++ b/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py @@ -42,6 +42,7 @@ from langgraph.graph import END, StateGraph from langgraph.graph.message import add_messages from langgraph.graph.state import CompiledStateGraph from langgraph.managed import IsLastStep, RemainingSteps +from langgraph.prebuilt._internal import ToolCallWithContext from langgraph.prebuilt.tool_node import ToolNode from langgraph.store.base import BaseStore from langgraph.types import Checkpointer, Send @@ -664,11 +665,17 @@ def create_react_agent( elif version == "v2": if post_model_hook is not None: return "post_model_hook" - tool_calls = [ - tool_node.inject_tool_args(call, state, store) # type: ignore[arg-type] - for call in last_message.tool_calls + return [ + Send( + "tools", + ToolCallWithContext( + __type="tool_call_with_context", + tool_call=tool_call, + state=state, + ), + ) + for tool_call in last_message.tool_calls ] - return [Send("tools", [tool_call]) for tool_call in tool_calls] # Define a new graph workflow = StateGraph( @@ -749,11 +756,17 @@ def create_react_agent( ] if pending_tool_calls: - pending_tool_calls = [ - tool_node.inject_tool_args(call, state, store) # type: ignore[arg-type] - for call in pending_tool_calls + return [ + Send( + "tools", + ToolCallWithContext( + __type="tool_call_with_context", + tool_call=tool_call, + state=state, + ), + ) + for tool_call in pending_tool_calls ] - return [Send("tools", [tool_call]) for tool_call in pending_tool_calls] elif isinstance(messages[-1], ToolMessage): return entrypoint elif response_format is not None: diff --git a/libs/prebuilt/langgraph/prebuilt/tool_node.py b/libs/prebuilt/langgraph/prebuilt/tool_node.py index 1f8316474..12f751d6f 100644 --- a/libs/prebuilt/langgraph/prebuilt/tool_node.py +++ b/libs/prebuilt/langgraph/prebuilt/tool_node.py @@ -72,6 +72,7 @@ from typing_extensions import Annotated, get_args, get_origin from langgraph._internal._runnable import RunnableCallable from langgraph.errors import GraphBubbleUp +from langgraph.prebuilt._internal import ToolCallWithContext from langgraph.store.base import BaseStore from langgraph.types import Command, Send @@ -358,7 +359,8 @@ class ToolNode(RunnableCallable): *, store: Optional[BaseStore], ) -> Any: - tool_calls, input_type = self._parse_input(input, store) + tool_calls, input_type = self._parse_input(input) + tool_calls = [self.inject_tool_args(call, input, store) for call in tool_calls] config_list = get_config_list(config, len(tool_calls)) input_types = [input_type] * len(tool_calls) with get_executor_for_config(config) as executor: @@ -379,7 +381,8 @@ class ToolNode(RunnableCallable): *, store: Optional[BaseStore], ) -> Any: - tool_calls, input_type = self._parse_input(input, store) + tool_calls, input_type = self._parse_input(input) + tool_calls = [self.inject_tool_args(call, input, store) for call in tool_calls] outputs = await asyncio.gather( *(self._arun_one(call, input_type, config) for call in tool_calls) ) @@ -436,12 +439,12 @@ class ToolNode(RunnableCallable): input_type: Literal["list", "dict", "tool_calls"], config: RunnableConfig, ) -> ToolMessage: + """Run a single tool call synchronously.""" if invalid_tool_message := self._validate_tool_call(call): return invalid_tool_message - try: - input = {**call, **{"type": "tool_call"}} - response = self.tools_by_name[call["name"]].invoke(input, config) + call_args = {**call, **{"type": "tool_call"}} + response = self.tools_by_name[call["name"]].invoke(call_args, config) # GraphInterrupt is a special exception that will always be raised. # It can be triggered in the following scenarios, @@ -492,6 +495,7 @@ class ToolNode(RunnableCallable): input_type: Literal["list", "dict", "tool_calls"], config: RunnableConfig, ) -> ToolMessage: + """Run a single tool call asynchronously.""" if invalid_tool_message := self._validate_tool_call(call): return invalid_tool_message @@ -549,16 +553,25 @@ class ToolNode(RunnableCallable): dict[str, Any], BaseModel, ], - store: Optional[BaseStore], ) -> Tuple[list[ToolCall], Literal["list", "dict", "tool_calls"]]: + input_type: Literal["list", "dict", "tool_calls"] if isinstance(input, list): if isinstance(input[-1], dict) and input[-1].get("type") == "tool_call": input_type = "tool_calls" - tool_calls = input + tool_calls = cast(list[ToolCall], input) return tool_calls, input_type else: input_type = "list" messages = input + elif ( + isinstance(input, dict) and input.get("__type") == "tool_call_with_context" + ): + # mypy will not be able to type narrow correctly since the signature + # for input contains dict[str, Any]. We'd need to type dict[str, Any] + # before we can apply correct typing. + input = cast(ToolCallWithContext, input) # type: ignore[assignment] + input_type = "tool_calls" + return [input["tool_call"]], input_type elif isinstance(input, dict) and (messages := input.get(self.messages_key, [])): input_type = "dict" elif messages := getattr(input, self.messages_key, []): @@ -574,10 +587,7 @@ class ToolNode(RunnableCallable): except StopIteration: raise ValueError("No AIMessage found in input") - tool_calls = [ - self.inject_tool_args(call, input, store) - for call in latest_ai_message.tool_calls - ] + tool_calls = [call for call in latest_ai_message.tool_calls] return tool_calls, input_type def _validate_tool_call(self, call: ToolCall) -> Optional[ToolMessage]: @@ -619,15 +629,20 @@ class ToolNode(RunnableCallable): required_fields_str = ", ".join(f for f in required_fields if f) err_msg += f" State should contain fields {required_fields_str}." raise ValueError(err_msg) - if isinstance(input, dict): + + if isinstance(input, dict) and input.get("__type") == "tool_call_with_context": + state = input["state"] + else: + state = input + + if isinstance(state, dict): tool_state_args = { - tool_arg: input[state_field] if state_field else input + tool_arg: state[state_field] if state_field else state for tool_arg, state_field in state_args.items() } - else: tool_state_args = { - tool_arg: getattr(input, state_field) if state_field else input + tool_arg: getattr(state, state_field) if state_field else state for tool_arg, state_field in state_args.items() } diff --git a/libs/prebuilt/tests/any_str.py b/libs/prebuilt/tests/any_str.py index 5643a00fb..790324322 100644 --- a/libs/prebuilt/tests/any_str.py +++ b/libs/prebuilt/tests/any_str.py @@ -1,27 +1,5 @@ import re -from typing import Any, Sequence, Union - -from typing_extensions import Self - - -class FloatBetween(float): - def __new__(cls, min_value: float, max_value: float) -> Self: - return super().__new__(cls, min_value) - - def __init__(self, min_value: float, max_value: float) -> None: - super().__init__() - self.min_value = min_value - self.max_value = max_value - - def __eq__(self, other: object) -> bool: - return ( - isinstance(other, float) - and other >= self.min_value - and other <= self.max_value - ) - - def __hash__(self) -> int: - return hash((float(self), self.min_value, self.max_value)) +from typing import Union class AnyStr(str): @@ -38,49 +16,3 @@ class AnyStr(str): def __hash__(self) -> int: return hash((str(self), self.prefix)) - - -class AnyDict(dict): - def __init__(self, *args, **kwargs) -> None: - super().__init__(*args, **kwargs) - - def __eq__(self, other: object) -> bool: - if not isinstance(other, dict) or len(self) != len(other): - return False - for k, v in self.items(): - if kk := next((kk for kk in other if kk == k), None): - if v == other[kk]: - continue - else: - return False - else: - return True - - -class AnyVersion: - def __init__(self) -> None: - super().__init__() - - def __eq__(self, other: object) -> bool: - return isinstance(other, (str, int, float)) - - def __hash__(self) -> int: - return hash(str(self)) - - -class UnsortedSequence: - def __init__(self, *values: Any) -> None: - self.seq = values - - def __eq__(self, value: object) -> bool: - return ( - isinstance(value, Sequence) - and len(self.seq) == len(value) - and all(a in value for a in self.seq) - ) - - def __hash__(self) -> int: - return hash(frozenset(self.seq)) - - def __repr__(self) -> str: - return repr(self.seq) diff --git a/libs/prebuilt/tests/memory_assert.py b/libs/prebuilt/tests/memory_assert.py index 872ea57ab..0b22a605a 100644 --- a/libs/prebuilt/tests/memory_assert.py +++ b/libs/prebuilt/tests/memory_assert.py @@ -1,31 +1,19 @@ -import asyncio import os import tempfile from collections import defaultdict from functools import partial -from typing import Any, Optional - -from langchain_core.runnables import RunnableConfig +from typing import Optional from langgraph.checkpoint.base import ( ChannelVersions, Checkpoint, CheckpointMetadata, - CheckpointTuple, SerializerProtocol, ) from langgraph.checkpoint.memory import InMemorySaver, PersistentDict from langgraph.pregel._checkpoint import copy_checkpoint -class NoopSerializer(SerializerProtocol): - def loads_typed(self, data: tuple[str, bytes]) -> Any: - return data[1] - - def dumps_typed(self, obj: Any) -> tuple[str, bytes]: - return "type", obj - - class MemorySaverAssertImmutable(InMemorySaver): storage_for_copies: defaultdict[str, dict[str, dict[str, Checkpoint]]] @@ -69,66 +57,3 @@ class MemorySaverAssertImmutable(InMemorySaver): ) # call super to write checkpoint return super().put(config, checkpoint, metadata, new_versions) - - -class MemorySaverAssertCheckpointMetadata(InMemorySaver): - """This custom checkpointer is for verifying that a run's configurable - fields are merged with the previous checkpoint config for each step in - the run. This is the desired behavior. Because the checkpointer's (a)put() - method is called for each step, the implementation of this checkpointer - should produce a side effect that can be asserted. - """ - - def put( - self, - config: RunnableConfig, - checkpoint: Checkpoint, - metadata: CheckpointMetadata, - new_versions: ChannelVersions, - ) -> None: - """The implementation of put() merges config["configurable"] (a run's - configurable fields) with the metadata field. The state of the - checkpoint metadata can be asserted to confirm that the run's - configurable fields were merged with the previous checkpoint config. - """ - configurable = config["configurable"].copy() - - # remove checkpoint_id to make testing simpler - checkpoint_id = configurable.pop("checkpoint_id", None) - thread_id = config["configurable"]["thread_id"] - checkpoint_ns = config["configurable"]["checkpoint_ns"] - self.storage[thread_id][checkpoint_ns].update( - { - checkpoint["id"]: ( - self.serde.dumps_typed(checkpoint), - # merge configurable fields and metadata - self.serde.dumps_typed({**configurable, **metadata}), - checkpoint_id, - ) - } - ) - return { - "configurable": { - "thread_id": config["configurable"]["thread_id"], - "checkpoint_id": checkpoint["id"], - } - } - - async def aput( - self, - config: RunnableConfig, - checkpoint: Checkpoint, - metadata: CheckpointMetadata, - new_versions: ChannelVersions, - ) -> RunnableConfig: - return await asyncio.get_running_loop().run_in_executor( - None, self.put, config, checkpoint, metadata, new_versions - ) - - -class MemorySaverNoPending(InMemorySaver): - def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]: - result = super().get_tuple(config) - if result: - return CheckpointTuple(result.config, result.checkpoint, result.metadata) - return result diff --git a/libs/prebuilt/tests/messages.py b/libs/prebuilt/tests/messages.py index ecc657a36..06f64bc7d 100644 --- a/libs/prebuilt/tests/messages.py +++ b/libs/prebuilt/tests/messages.py @@ -9,33 +9,11 @@ subclassed strings. from typing import Any -from langchain_core.documents import Document -from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage, ToolMessage +from langchain_core.messages import HumanMessage, ToolMessage from tests.any_str import AnyStr -def _AnyIdDocument(**kwargs: Any) -> Document: - """Create a document with an id field.""" - message = Document(**kwargs) - message.id = AnyStr() - return message - - -def _AnyIdAIMessage(**kwargs: Any) -> AIMessage: - """Create ai message with an any id field.""" - message = AIMessage(**kwargs) - message.id = AnyStr() - return message - - -def _AnyIdAIMessageChunk(**kwargs: Any) -> AIMessageChunk: - """Create ai message with an any id field.""" - message = AIMessageChunk(**kwargs) - message.id = AnyStr() - return message - - def _AnyIdHumanMessage(**kwargs: Any) -> HumanMessage: """Create a human message with an any id field.""" message = HumanMessage(**kwargs) diff --git a/libs/prebuilt/tests/test_react_agent.py b/libs/prebuilt/tests/test_react_agent.py index 2aac3cbf6..b337cb325 100644 --- a/libs/prebuilt/tests/test_react_agent.py +++ b/libs/prebuilt/tests/test_react_agent.py @@ -5,6 +5,7 @@ from functools import partial from typing import ( Annotated, List, + Literal, Optional, Type, TypeVar, @@ -509,7 +510,7 @@ class CustomStatePydantic(AgentStatePydantic): @pytest.mark.parametrize("state_schema", [CustomState, CustomStatePydantic]) def test_react_agent_update_state( sync_checkpointer: BaseCheckpointSaver, - version: str, + version: Literal["v1", "v2"], state_schema: StateSchemaType, ) -> None: @dec_tool @@ -557,7 +558,7 @@ def test_react_agent_update_state( version=version, ) config = {"configurable": {"thread_id": "1"}} - # run until interrpupted + # Run until interrupted agent.invoke({"messages": [("user", "what's my name")]}, config) # supply the value for the interrupt response = agent.invoke(Command(resume="Archibald"), config) @@ -781,8 +782,9 @@ class AgentStateExtraKeyPydantic(AgentStatePydantic): "state_schema", [AgentStateExtraKey, AgentStateExtraKeyPydantic] ) def test_create_react_agent_inject_vars( - version: str, state_schema: StateSchemaType + version: Literal["v1", "v2"], state_schema: StateSchemaType ) -> None: + """Test that the agent can inject state and store into tool functions.""" store = InMemoryStore() namespace = ("test",) store.put(namespace, "test_key", {"bar": 3}) @@ -817,15 +819,14 @@ def test_create_react_agent_inject_vars( model = FakeToolCallingModel(tool_calls=[[tool_call], []]) agent = create_react_agent( model, - [tool1], + ToolNode([tool1], handle_tool_errors=False), state_schema=state_schema, store=store, version=version, ) - input_message = HumanMessage("hi") - result = agent.invoke({"messages": [input_message], "foo": 2}) + result = agent.invoke({"messages": [{"role": "user", "content": "hi"}], "foo": 2}) assert result["messages"] == [ - input_message, + _AnyIdHumanMessage(content="hi"), AIMessage(content="hi", tool_calls=[tool_call], id="0"), _AnyIdToolMessage(content="6", name="tool1", tool_call_id="some 0"), AIMessage("hi-hi-6", id="1"), @@ -1578,13 +1579,14 @@ def test_create_react_agent_inject_vars_with_post_model_hook( "type": "tool_call", } - def post_model_hook(state: dict) -> None: - return + def post_model_hook(state: dict) -> dict: + """Post model hook is injecting a new foo key.""" + return {"foo": 2} model = FakeToolCallingModel(tool_calls=[[tool_call], []]) agent = create_react_agent( model, - [tool1], + ToolNode([tool1], handle_tool_errors=False), state_schema=state_schema, store=store, post_model_hook=post_model_hook, diff --git a/libs/prebuilt/uv.lock b/libs/prebuilt/uv.lock index 817093c68..339723d41 100644 --- a/libs/prebuilt/uv.lock +++ b/libs/prebuilt/uv.lock @@ -367,7 +367,7 @@ dev = [ [[package]] name = "langgraph-checkpoint" -version = "2.1.0" +version = "2.1.1" source = { editable = "../checkpoint" } dependencies = [ { name = "langchain-core" },