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Author SHA1 Message Date
Rafid SaadandGitHub 9accc21f0f Merge branch 'main' into fix/add-assistant-id-to-auth-types 2026-02-05 11:49:57 -08:00
1fb405bd55 feat(sdk-py): add update method for crons client (#6742)
# Description
- Update Python SDK to add patch method to cron client
- This method lets users modify cron attributes (except assistant ID and
thread ID)

---------

Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>
2026-02-04 08:23:48 -08:00
rafid saad ad75ffdd8d Add missing fields 2026-02-03 13:30:01 -08:00
rafid saad 85a311087d Add assistant ID 2026-02-03 13:25:56 -08:00
rafid saad cf5c64590b Merge branch 'main' of github.com:langchain-ai/langgraph into rafid/lsd-1115-add-patch-method 2026-02-03 10:53:04 -08:00
William FHandGitHub 86b65beb8f chore: Update ThreadTTLConfig (#6730)
Sync with underlying implementation.
2026-02-03 10:52:33 -08:00
rafid saad fa1cf5bc0f Replace patch with update 2026-02-03 10:51:45 -08:00
rafid saad 36f94ba038 Merge branch 'rafid/lsd-1115-add-patch-method' of github.com:langchain-ai/langgraph into rafid/lsd-1115-add-patch-method 2026-02-03 10:50:40 -08:00
rafid saad eaf0d0cf10 Replace patch with update 2026-02-03 10:50:25 -08:00
William Fu-Hinthorn 4b19e2f51c merge 2026-02-03 10:39:50 -08:00
Rafid SaadandGitHub 63bd852da9 feat(sdk-py): add support for enabling/disabling crons (#6740)
# Description
- Update Python SDK to support enabling/disabling crons
- Pass `enabled` to cron `create`, `create_for_thread`, and `search`
methods
2026-02-03 10:36:48 -08:00
rafid saad a49d999ef9 add patch method 2026-02-03 09:10:55 -08:00
rafid saad e6f66c5949 Address linting issue 2026-02-02 17:59:15 -08:00
rafid saad a4a28e908d Address comments 2026-02-02 17:50:52 -08:00
rafid saad 7ff8141438 Merge branch 'rafid/lsd-1115-make-sdk-updates' of github.com:langchain-ai/langgraph into rafid/lsd-1115-make-sdk-updates 2026-02-02 17:43:52 -08:00
rafid saad 5ddcb3e27c Merge branch 'main' of github.com:langchain-ai/langgraph into rafid/lsd-1115-make-sdk-updates 2026-02-02 17:43:24 -08:00
rafid saad a2f5e8c558 feat: adding support for enabling/disabling cron in sdk-py 2026-02-02 17:43:12 -08:00
rafid saad 0a820b908b Fix linting issue 2026-02-02 17:42:08 -08:00
rafid saad 49299465c7 add test case 2026-02-02 17:34:38 -08:00
rafid saad ca9b3c6ff6 Add enabled to the client 2026-02-02 17:29:58 -08:00
rafid saad 65648e2019 Change is_enabled to enabled 2026-02-02 16:59:44 -08:00
rafid saad cfc595ac62 Update schema 2026-02-02 16:34:02 -08:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>William Fu-Hinthorn
82f9c09b95 chore(deps-dev): bump ruff from 0.14.7 to 0.14.11 in /libs/sdk-py (#6673)
Bumps [ruff](https://github.com/astral-sh/ruff) from 0.14.7 to 0.14.11.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/astral-sh/ruff/releases">ruff's
releases</a>.</em></p>
<blockquote>
<h2>0.14.11</h2>
<h2>Release Notes</h2>
<p>Released on 2026-01-08.</p>
<h3>Preview features</h3>
<ul>
<li>Consolidate diagnostics for matched disable/enable suppression
comments (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22099">#22099</a>)</li>
<li>Report diagnostics for invalid/unmatched range suppression comments
(<a
href="https://redirect.github.com/astral-sh/ruff/pull/21908">#21908</a>)</li>
<li>[<code>airflow</code>] Passing positional argument into
<code>airflow.lineage.hook.HookLineageCollector.create_asset</code> is
not allowed (<code>AIR303</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22046">#22046</a>)</li>
<li>[<code>refurb</code>] Mark <code>FURB192</code> fix as always unsafe
(<a
href="https://redirect.github.com/astral-sh/ruff/pull/22210">#22210</a>)</li>
<li>[<code>ruff</code>] Add <code>non-empty-init-module</code>
(<code>RUF067</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22143">#22143</a>)</li>
</ul>
<h3>Bug fixes</h3>
<ul>
<li>Fix GitHub format for multi-line diagnostics (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22108">#22108</a>)</li>
<li>[<code>flake8-unused-arguments</code>] Mark <code>**kwargs</code> in
<code>TypeVar</code> as used (<code>ARG001</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22214">#22214</a>)</li>
</ul>
<h3>Rule changes</h3>
<ul>
<li>Add <code>help:</code> subdiagnostics for several Ruff rules that
can sometimes appear to disagree with <code>ty</code> (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22331">#22331</a>)</li>
<li>[<code>pylint</code>] Demote <code>PLW1510</code> fix to
display-only (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22318">#22318</a>)</li>
<li>[<code>pylint</code>] Ignore identical members
(<code>PLR1714</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22220">#22220</a>)</li>
<li>[<code>pylint</code>] Improve diagnostic range for
<code>PLC0206</code> (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22312">#22312</a>)</li>
<li>[<code>ruff</code>] Improve fix title for <code>RUF102</code>
invalid rule code (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22100">#22100</a>)</li>
<li>[<code>flake8-simplify</code>]: Avoid unnecessary builtins import
for <code>SIM105</code> (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22358">#22358</a>)</li>
</ul>
<h3>Configuration</h3>
<ul>
<li>Allow Python 3.15 as valid <code>target-version</code> value in
preview (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22419">#22419</a>)</li>
<li>Check <code>required-version</code> before parsing rules (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22410">#22410</a>)</li>
<li>Include configured <code>src</code> directories when resolving
graphs (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22451">#22451</a>)</li>
</ul>
<h3>Documentation</h3>
<ul>
<li>Update <code>T201</code> suggestion to not use root logger to
satisfy <code>LOG015</code> (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22059">#22059</a>)</li>
<li>Fix <code>iter</code> example in unsafe fixes doc (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22118">#22118</a>)</li>
<li>[<code>flake8_print</code>] better suggestion for
<code>basicConfig</code> in <code>T201</code> docs (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22101">#22101</a>)</li>
<li>[<code>pylint</code>] Restore the fix safety docs for
<code>PLW0133</code> (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22211">#22211</a>)</li>
<li>Fix Jupyter notebook discovery info for editors (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22447">#22447</a>)</li>
</ul>
<h3>Contributors</h3>
<ul>
<li><a
href="https://github.com/charliermarsh"><code>@​charliermarsh</code></a></li>
<li><a href="https://github.com/ntBre"><code>@​ntBre</code></a></li>
<li><a
href="https://github.com/cenviity"><code>@​cenviity</code></a></li>
<li><a href="https://github.com/njhearp"><code>@​njhearp</code></a></li>
<li><a
href="https://github.com/cbachhuber"><code>@​cbachhuber</code></a></li>
<li><a
href="https://github.com/jelle-openai"><code>@​jelle-openai</code></a></li>
<li><a
href="https://github.com/AlexWaygood"><code>@​AlexWaygood</code></a></li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md">ruff's
changelog</a>.</em></p>
<blockquote>
<h2>0.14.11</h2>
<p>Released on 2026-01-08.</p>
<h3>Preview features</h3>
<ul>
<li>Consolidate diagnostics for matched disable/enable suppression
comments (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22099">#22099</a>)</li>
<li>Report diagnostics for invalid/unmatched range suppression comments
(<a
href="https://redirect.github.com/astral-sh/ruff/pull/21908">#21908</a>)</li>
<li>[<code>airflow</code>] Passing positional argument into
<code>airflow.lineage.hook.HookLineageCollector.create_asset</code> is
not allowed (<code>AIR303</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22046">#22046</a>)</li>
<li>[<code>refurb</code>] Mark <code>FURB192</code> fix as always unsafe
(<a
href="https://redirect.github.com/astral-sh/ruff/pull/22210">#22210</a>)</li>
<li>[<code>ruff</code>] Add <code>non-empty-init-module</code>
(<code>RUF067</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22143">#22143</a>)</li>
</ul>
<h3>Bug fixes</h3>
<ul>
<li>Fix GitHub format for multi-line diagnostics (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22108">#22108</a>)</li>
<li>[<code>flake8-unused-arguments</code>] Mark <code>**kwargs</code> in
<code>TypeVar</code> as used (<code>ARG001</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22214">#22214</a>)</li>
</ul>
<h3>Rule changes</h3>
<ul>
<li>Add <code>help:</code> subdiagnostics for several Ruff rules that
can sometimes appear to disagree with <code>ty</code> (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22331">#22331</a>)</li>
<li>[<code>pylint</code>] Demote <code>PLW1510</code> fix to
display-only (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22318">#22318</a>)</li>
<li>[<code>pylint</code>] Ignore identical members
(<code>PLR1714</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22220">#22220</a>)</li>
<li>[<code>pylint</code>] Improve diagnostic range for
<code>PLC0206</code> (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22312">#22312</a>)</li>
<li>[<code>ruff</code>] Improve fix title for <code>RUF102</code>
invalid rule code (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22100">#22100</a>)</li>
<li>[<code>flake8-simplify</code>]: Avoid unnecessary builtins import
for <code>SIM105</code> (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22358">#22358</a>)</li>
</ul>
<h3>Configuration</h3>
<ul>
<li>Allow Python 3.15 as valid <code>target-version</code> value in
preview (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22419">#22419</a>)</li>
<li>Check <code>required-version</code> before parsing rules (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22410">#22410</a>)</li>
<li>Include configured <code>src</code> directories when resolving
graphs (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22451">#22451</a>)</li>
</ul>
<h3>Documentation</h3>
<ul>
<li>Update <code>T201</code> suggestion to not use root logger to
satisfy <code>LOG015</code> (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22059">#22059</a>)</li>
<li>Fix <code>iter</code> example in unsafe fixes doc (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22118">#22118</a>)</li>
<li>[<code>flake8_print</code>] better suggestion for
<code>basicConfig</code> in <code>T201</code> docs (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22101">#22101</a>)</li>
<li>[<code>pylint</code>] Restore the fix safety docs for
<code>PLW0133</code> (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22211">#22211</a>)</li>
<li>Fix Jupyter notebook discovery info for editors (<a
href="https://redirect.github.com/astral-sh/ruff/pull/22447">#22447</a>)</li>
</ul>
<h3>Contributors</h3>
<ul>
<li><a
href="https://github.com/charliermarsh"><code>@​charliermarsh</code></a></li>
<li><a href="https://github.com/ntBre"><code>@​ntBre</code></a></li>
<li><a
href="https://github.com/cenviity"><code>@​cenviity</code></a></li>
<li><a href="https://github.com/njhearp"><code>@​njhearp</code></a></li>
<li><a
href="https://github.com/cbachhuber"><code>@​cbachhuber</code></a></li>
<li><a
href="https://github.com/jelle-openai"><code>@​jelle-openai</code></a></li>
<li><a
href="https://github.com/AlexWaygood"><code>@​AlexWaygood</code></a></li>
<li><a
href="https://github.com/ValdonVitija"><code>@​ValdonVitija</code></a></li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/astral-sh/ruff/commit/c920cf8cdb247a9fd8e15a4c9d2efa838f7a78a3"><code>c920cf8</code></a>
Bump 0.14.11 (<a
href="https://redirect.github.com/astral-sh/ruff/issues/22462">#22462</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/bb757b5a79888f28264f629b5667a0514071f7d6"><code>bb757b5</code></a>
[ty] Don't show diagnostics for excluded files (<a
href="https://redirect.github.com/astral-sh/ruff/issues/22455">#22455</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/1f49e8ef518b75207e155595aba57acd48205078"><code>1f49e8e</code></a>
Include configured <code>src</code> directories when resolving graphs
(<a
href="https://redirect.github.com/astral-sh/ruff/issues/22451">#22451</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/701f5134ab7c1a860145dccc8abb3716a3f89fe7"><code>701f513</code></a>
[ty] Only consider fully static pivots when deriving transitive
constraints (...</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/eea9ad83528a7f492662f6427cdbb6fc2f655bb5"><code>eea9ad8</code></a>
Pin maturin version (<a
href="https://redirect.github.com/astral-sh/ruff/issues/22454">#22454</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/eeac2bd3eed2f4b8f4a71e0c945721481b25efc0"><code>eeac2bd</code></a>
[ty] Optimize union building for unions with many enum-literal members
(<a
href="https://redirect.github.com/astral-sh/ruff/issues/22363">#22363</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/7319c37f4eb063e9590e1f09c8e92d7dabc63403"><code>7319c37</code></a>
docs: fix jupyter notebook discovery info for editors (<a
href="https://redirect.github.com/astral-sh/ruff/issues/22447">#22447</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/805503c19a6b74c5803e10123077997e29a0da37"><code>805503c</code></a>
[<code>ruff</code>] Improve fix title for <code>RUF102</code> invalid
rule code (<a
href="https://redirect.github.com/astral-sh/ruff/issues/22100">#22100</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/68a2f6c57d70052d0805b46b0e3a2538598b856f"><code>68a2f6c</code></a>
[ty] Fix <code>super()</code> with TypeVar-annotated <code>self</code>
and <code>cls</code> parameter (<a
href="https://redirect.github.com/astral-sh/ruff/issues/22208">#22208</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/abaa735e1d027cf458a2ab83d8a422d74111580c"><code>abaa735</code></a>
[ty] Improve <code>UnionBuilder</code> performance by changing
<code>Type::is_subtype_of</code> cal...</li>
<li>Additional commits viewable in <a
href="https://github.com/astral-sh/ruff/compare/0.14.7...0.14.11">compare
view</a></li>
</ul>
</details>
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Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>
2026-01-31 00:14:16 -08:00
193e128c20 chore: Omit lock when using connection pool (#6734)
Co-authored-by: Conrad Ludgate <conradludgate@gmail.com>
2026-01-31 00:30:34 +00:00
Mason DaughertyandGitHub c94e7b96ac chore: update contributing/templates (#6732)
Supersedes #6703 -- thanks to @Ramakrishna1967 for flagging
2026-01-30 09:18:18 -08:00
Mason DaughertyandGitHub 2dd39432a3 docs: enhance Runtime and ToolRuntime class descriptions for clarity (#6689) 2026-01-26 13:22:54 -08:00
Mason DaughertyandGitHub 3ff6340379 docs: add clarity to use of thread_id (#6515) 2026-01-26 12:09:01 -08:00
Mason DaughertyandGitHub 0a6145fd72 docs: add docstrings to add_node overloads (#6514)
They were missing `Args` sections, and IDEs don't pick these up from the
canonical.

Each overload now includes the full `Args:` documentation, examples
tailored to that specific signature, and `Returns:` section.
2026-01-26 11:48:34 -08:00
Mason DaughertyandGitHub fbcb8a911b docs: update notebook links and add archival notices for examples (#6720)
Addresses some comments in #6682

- Update links in notebooks to point to the new documentation location.
- Add archival notices indicating that the examples are no longer
updated.
- Remove some obsolete notebooks that have been moved to the new
documentation.

Please comment here if you encounter any issues
2026-01-26 06:00:16 +00:00
William FHandGitHub 2c6f99cbf0 release(cli): 0.4.12 (#6716)
Release Notes: Increase upper bound of `langgraph-ap` to `<0.8`

Closes https://github.com/langchain-ai/langgraph/issues/6706
2026-01-23 05:31:50 -08:00
Sydney RunkleandGitHub 7b9ff6129b release: langgraph and prebuilt 1.0.7 (#6712) 2026-01-22 11:28:22 -05:00
Sydney RunkleandGitHub c1b3598ca8 feat: support dynamic tool calling via tool override in wrap_model_call (#6711)
Allow overriding `tool` impl in `wrap_tool_call` in order to support
dynamically registered tools via middleware
2026-01-22 15:53:43 +00:00
William FHandGitHub 30355a7a5d fix: aiosqlite's breaking change (#6699)
`aiosqlite` changed it's Connection type to no longer subclass
`threading.Thread`. This removed the is_alive method, which is called
proactively in setup().

This PR handles this in a backwards compat way.
2026-01-18 16:35:50 -08:00
b0c6126f2a chore(deps): upgrade dependencies with uv lock --upgrade (#6671)
This PR updates the dependencies in all Python packages using `uv lock
--upgrade`.

This is an automated PR created by the UV Lock Upgrade workflow.

Co-authored-by: sydney-runkle <54324534+sydney-runkle@users.noreply.github.com>
2026-01-18 16:19:35 -08:00
Vishnu SureshandGitHub 0cab88c7dd docs: clarify cron job schedule interpretation in UTC (#6692)
## Description

Adds docstring clarification that cron schedules are interpreted in UTC
for `CronClient.create`, `CronClient.create_for_thread`, and their sync
variants.
2026-01-16 14:31:11 -08:00
Lauren Hirata SinghandGitHub 8cb87eaf76 chore(docs): Update link for LangGraph guides in README (#6680)
https://langchain.slack.com/archives/C04GWPE38LV/p1768251150861949
2026-01-13 09:34:16 -05:00
Mason DaughertyandGitHub 089cdd0ffb chore: update twitter URLs (#6683) 2026-01-13 09:33:56 -05:00
Mason DaughertyandGitHub fb0091fd57 docs: restore examples/ (#6682) 2026-01-13 01:26:48 -05:00
William FHandGitHub e820097701 chore: Better error messages (#6681) 2026-01-12 16:29:04 -08:00
76 changed files with 13529 additions and 2964 deletions
-6
View File
@@ -1,6 +0,0 @@
# Contributing to LangGraph
Hi there! Thank you for even being interested in contributing to LangGraph.
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether they involve new features, improved infrastructure, better documentation, or bug fixes.
To learn how to contribute to LangGraph, please follow the [contribution guide here](https://docs.langchain.com/oss/python/contributing).
+48 -24
View File
@@ -1,43 +1,60 @@
name: "\U0001F41B Bug Report"
description: Report a bug in LangGraph. To report a security issue, please instead use the security option below. For questions, please use the LangChain Forum at forum.langchain.com.
labels: [pending, bug]
description: Report a bug in LangGraph. To report a security issue, please instead use the security option (below). For questions, please use the LangChain forum (below).
labels: ["bug"]
type: bug
body:
- type: markdown
attributes:
value: |
Thank you for taking the time to file a bug report.
Thank you for taking the time to file a bug report.
Use this to report BUGS in LangGraph. For usage questions, feature requests and general design questions, please use the [LangChain Forum](https://forum.langchain.com/).
For usage questions, feature requests and general design questions, please use the [LangChain Forum](https://forum.langchain.com/).
Relevant links to check before filing a bug report to see if your issue has already been reported, fixed or
if there's another way to solve your problem:
Check these before submitting to see if your issue has already been reported, fixed or if there's another way to solve your problem:
* [LangChain Forum](https://forum.langchain.com/),
* [LangGraph Github Issues](https://github.com/langchain-ai/langgraph/issues),
* [LangChain documentation with the integrated search](https://docs.langchain.com/),
* [Documentation](https://docs.langchain.com/oss/python/langgraph/overview),
* [API Reference Documentation](https://reference.langchain.com/python/),
* [LangChain ChatBot](https://chat.langchain.com/)
* [GitHub search](https://github.com/langchain-ai/langgraph),
* [LangChain Forum](https://forum.langchain.com/),
- type: checkboxes
id: checks
attributes:
label: Checked other resources
description: Before submitting this issue, please confirm that you have completed all the steps below by checking each option. These steps help ensure your issue is well-defined, relevant, and actionable.
description: Please confirm and check all the following options.
options:
- label: This is a bug, not a usage question. For questions, please use the LangChain Forum (https://forum.langchain.com/).
- label: This is a bug, not a usage question.
required: true
- label: I added a clear and detailed title that summarizes the issue.
- label: I added a clear and descriptive title that summarizes this issue.
required: true
- label: I read what a minimal reproducible example is (https://stackoverflow.com/help/minimal-reproducible-example).
- label: I used the GitHub search to find a similar question and didn't find it.
required: true
- label: I included a self-contained, minimal example that demonstrates the issue INCLUDING all the relevant imports. The code run AS IS to reproduce the issue.
- label: I am sure that this is a bug in LangGraph rather than my code.
required: true
- label: The bug is not resolved by updating to the latest stable version of LangGraph (or the specific integration package).
required: true
- label: This is not related to the langchain-community package.
required: true
- label: I posted a self-contained, minimal, reproducible example. A maintainer can copy it and run it AS IS.
required: true
- type: textarea
id: reproduction
validations:
required: true
attributes:
label: Example Code
label: Reproduction Steps / Example Code (Python)
description: |
Please add a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with your use case. Replace this code with your own!
Please add a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with your use case.
If a maintainer can copy it, run it, and see it right away, there's a much higher chance that you'll be able to get help.
**Important!**
* Avoid screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
* Reduce your code to the minimum required to reproduce the issue if possible.
(This will be automatically formatted into code, so no need for backticks.)
render: python
placeholder: |
from langgraph.graph import StateGraph
@@ -46,17 +63,13 @@ body:
chain = StateGraph(list)
chain.invoke('Hello!')
render: python
- type: textarea
id: error
validations:
required: false
attributes:
label: Error Message and Stack Trace (if applicable)
description: |
If you are reporting an error, please include the full error message and stack trace.
placeholder: |
Exception + full stack trace
If you are reporting an error, please copy and paste the full error message and
stack trace.
(This will be automatically formatted into code, so no need for backticks.)
render: shell
- type: textarea
id: description
@@ -77,7 +90,18 @@ body:
attributes:
label: System Info
description: |
Run on your machine: `python -m langchain_core.sys_info`
Please share your system info with us.
Run the following command in your terminal and paste the output here:
`python -m langchain_core.sys_info`
or if you have an existing python interpreter running:
```python
from langchain_core import sys_info
sys_info.print_sys_info()
```
placeholder: |
python -m langchain_core.sys_info
validations:
+10 -4
View File
@@ -1,9 +1,15 @@
blank_issues_enabled: false
version: 2.1
contact_links:
- name: Documentation
url: https://github.com/langchain-ai/docs/issues/new?template=langgraph.yml
about: Report an issue related to the LangGraph documentation
- name: LangChain Forum
- name: 💬 LangChain Forum
url: https://forum.langchain.com/
about: General community discussions and support
- name: 📚 LangGraph Documentation
url: https://docs.langchain.com/oss/python/langgraph/overview
about: View the official LangGraph documentation
- name: 📚 API Reference Documentation
url: https://reference.langchain.com/python/
about: View the official LangGraph API reference documentation
- name: 📚 Documentation issue
url: https://github.com/langchain-ai/docs/issues/new?template=02-langgraph.yml
about: Report an issue related to the LangGraph documentation
+1 -1
View File
@@ -21,7 +21,7 @@ Thank you for contributing to LangGraph! Follow these steps to mark your pull re
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.
- [ ] **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://docs.langchain.com/oss/python/contributing/overview) for more.
Additional guidelines:
+1 -1
View File
@@ -79,7 +79,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
## Additional resources
- [Guides](https://docs.langchain.com/oss/python/langgraph/guides): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
- [Guides](https://docs.langchain.com/oss/python/langgraph/overview): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
- [Reference](https://reference.langchain.com/python/langgraph/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
- [Examples](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Guided examples on getting started with LangGraph.
- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
+3
View File
@@ -0,0 +1,3 @@
# LangGraph examples
This directory is retained purely for archival purposes and is no longer updated. The examples previously found here have been moved to the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview). Please refer to the LangChain docs for the most up-to-date examples and usage guidelines for LangGraph.
@@ -0,0 +1,41 @@
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{
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"source": [
"[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb)"
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@@ -0,0 +1,203 @@
import functools
from typing import Annotated, Any, Callable, Dict, List, Optional, Union
from langchain_community.adapters.openai import convert_message_to_dict
from langchain_core.messages import AIMessage, AnyMessage, BaseMessage, HumanMessage
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain_core.runnables import Runnable, RunnableLambda
from langchain_core.runnables import chain as as_runnable
from langchain_openai import ChatOpenAI
from typing_extensions import TypedDict
from langgraph.graph import END, StateGraph, START
def langchain_to_openai_messages(messages: List[BaseMessage]):
"""
Convert a list of langchain base messages to a list of openai messages.
Parameters:
messages (List[BaseMessage]): A list of langchain base messages.
Returns:
List[dict]: A list of openai messages.
"""
return [
convert_message_to_dict(m) if isinstance(m, BaseMessage) else m
for m in messages
]
def create_simulated_user(
system_prompt: str, llm: Runnable | None = None
) -> Runnable[Dict, AIMessage]:
"""
Creates a simulated user for chatbot simulation.
Args:
system_prompt (str): The system prompt to be used by the simulated user.
llm (Runnable | None, optional): The language model to be used for the simulation.
Defaults to gpt-3.5-turbo.
Returns:
Runnable[Dict, AIMessage]: The simulated user for chatbot simulation.
"""
return ChatPromptTemplate.from_messages(
[
("system", system_prompt),
MessagesPlaceholder(variable_name="messages"),
]
) | (llm or ChatOpenAI(model="gpt-3.5-turbo")).with_config(
run_name="simulated_user"
)
Messages = Union[list[AnyMessage], AnyMessage]
def add_messages(left: Messages, right: Messages) -> Messages:
if not isinstance(left, list):
left = [left]
if not isinstance(right, list):
right = [right]
return left + right
class SimulationState(TypedDict):
"""
Represents the state of a simulation.
Attributes:
messages (List[AnyMessage]): A list of messages in the simulation.
inputs (Optional[dict[str, Any]]): Optional inputs for the simulation.
"""
messages: Annotated[List[AnyMessage], add_messages]
inputs: Optional[dict[str, Any]]
def create_chat_simulator(
assistant: (
Callable[[List[AnyMessage]], str | AIMessage]
| Runnable[List[AnyMessage], str | AIMessage]
),
simulated_user: Runnable[Dict, AIMessage],
*,
input_key: str,
max_turns: int = 6,
should_continue: Optional[Callable[[SimulationState], str]] = None,
):
"""Creates a chat simulator for evaluating a chatbot.
Args:
assistant: The chatbot assistant function or runnable object.
simulated_user: The simulated user object.
input_key: The key for the input to the chat simulation.
max_turns: The maximum number of turns in the chat simulation. Default is 6.
should_continue: Optional function to determine if the simulation should continue.
If not provided, a default function will be used.
Returns:
The compiled chat simulation graph.
"""
graph_builder = StateGraph(SimulationState)
graph_builder.add_node(
"user",
_create_simulated_user_node(simulated_user),
)
graph_builder.add_node(
"assistant", _fetch_messages | assistant | _coerce_to_message
)
graph_builder.add_edge("assistant", "user")
graph_builder.add_conditional_edges(
"user",
should_continue or functools.partial(_should_continue, max_turns=max_turns),
)
# If your dataset has a 'leading question/input', then we route first to the assistant, otherwise, we let the user take the lead.
graph_builder.add_edge(START, "assistant" if input_key is not None else "user")
return (
RunnableLambda(_prepare_example).bind(input_key=input_key)
| graph_builder.compile()
)
## Private methods
def _prepare_example(inputs: dict[str, Any], input_key: Optional[str] = None):
if input_key is not None:
if input_key not in inputs:
raise ValueError(
f"Dataset's example input must contain the provided input key: '{input_key}'.\nFound: {list(inputs.keys())}"
)
messages = [HumanMessage(content=inputs[input_key])]
return {
"inputs": {k: v for k, v in inputs.items() if k != input_key},
"messages": messages,
}
return {"inputs": inputs, "messages": []}
def _invoke_simulated_user(state: SimulationState, simulated_user: Runnable):
"""Invoke the simulated user node."""
runnable = (
simulated_user
if isinstance(simulated_user, Runnable)
else RunnableLambda(simulated_user)
)
inputs = state.get("inputs", {})
inputs["messages"] = state["messages"]
return runnable.invoke(inputs)
def _swap_roles(state: SimulationState):
new_messages = []
for m in state["messages"]:
if isinstance(m, AIMessage):
new_messages.append(HumanMessage(content=m.content))
else:
new_messages.append(AIMessage(content=m.content))
return {
"inputs": state.get("inputs", {}),
"messages": new_messages,
}
@as_runnable
def _fetch_messages(state: SimulationState):
"""Invoke the simulated user node."""
return state["messages"]
def _convert_to_human_message(message: BaseMessage):
return {"messages": [HumanMessage(content=message.content)]}
def _create_simulated_user_node(simulated_user: Runnable):
"""Simulated user accepts a {"messages": [...]} argument and returns a single message."""
return (
_swap_roles
| RunnableLambda(_invoke_simulated_user).bind(simulated_user=simulated_user)
| _convert_to_human_message
)
def _coerce_to_message(assistant_output: str | BaseMessage):
if isinstance(assistant_output, str):
return {"messages": [AIMessage(content=assistant_output)]}
else:
return {"messages": [assistant_output]}
def _should_continue(state: SimulationState, max_turns: int = 6):
messages = state["messages"]
# TODO support other stop criteria
if len(messages) > max_turns:
return END
elif messages[-1].content.strip() == "FINISHED":
return END
else:
return "assistant"
@@ -0,0 +1,41 @@
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]
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@@ -0,0 +1,41 @@
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@@ -0,0 +1,41 @@
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@@ -0,0 +1,40 @@
{
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+41
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+41
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@@ -0,0 +1,41 @@
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+41
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+40
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+40
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+40
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+41
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@@ -550,6 +550,11 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
Will be applied regardless of whether the PostgresStore instance was initialized with a pipeline.
If pipeline mode is not supported, will fall back to using transaction context manager.
"""
is_pooled_conn = isinstance(self.conn, AsyncConnectionPool)
# With AsyncConnectionPool, each _cursor() call checks out its own connection.
# The pool does not hand out the same connection concurrently, so a shared lock
# across calls is unnecessary here.
lock = asyncio.Lock() if is_pooled_conn else self.lock
async with _ainternal.get_connection(self.conn) as conn:
if self.pipe:
# a connection in pipeline mode can be used concurrently
@@ -566,21 +571,21 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
# thread/coroutine at a time, so we acquire a lock
if self.supports_pipeline:
async with (
self.lock,
lock,
conn.pipeline(),
conn.cursor(binary=True, row_factory=dict_row) as cur,
):
yield cur
else:
async with (
self.lock,
lock,
conn.transaction(),
conn.cursor(binary=True, row_factory=dict_row) as cur,
):
yield cur
else:
async with (
self.lock,
lock,
conn.cursor(binary=True, row_factory=dict_row) as cur,
):
yield cur
+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-postgres"
version = "3.0.3"
version = "3.0.4"
description = "Library with a Postgres implementation of LangGraph checkpoint saver."
authors = []
requires-python = ">=3.10"
@@ -20,7 +20,7 @@ dependencies = [
[project.urls]
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-postgres"
Twitter = "https://x.com/LangChainAI"
Twitter = "https://x.com/LangChain"
Slack = "https://www.langchain.com/join-community"
Reddit = "https://www.reddit.com/r/LangChain/"
+266 -261
View File
@@ -13,16 +13,16 @@ wheels = [
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name = "anyio"
version = "4.12.0"
version = "4.12.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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{ name = "idna" },
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
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[[package]]
@@ -36,11 +36,11 @@ wheels = [
[[package]]
name = "certifi"
version = "2025.11.12"
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]
[[package]]
@@ -3,6 +3,7 @@ from __future__ import annotations
import asyncio
import json
import random
import threading
from collections.abc import AsyncIterator, Callable, Iterator, Sequence
from contextlib import asynccontextmanager
from typing import Any, TypeVar, cast
@@ -281,8 +282,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
async with self.lock:
if self.is_setup:
return
if not self.conn.is_alive():
await self.conn
await _ensure_connected(self.conn)
async with self.conn.executescript(
"""
PRAGMA journal_mode=WAL;
@@ -609,3 +609,23 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
next_v = current_v + 1
next_h = random.random()
return f"{next_v:032}.{next_h:016}"
async def _ensure_connected(conn: aiosqlite.Connection) -> None:
if not _CONN_STARTED_CHECK(conn):
await conn
def _build_conn_started_check() -> Callable[[aiosqlite.Connection], bool]:
is_alive = getattr(aiosqlite.Connection, "is_alive", None)
if callable(is_alive):
return lambda conn: conn.is_alive() # type: ignore[attr-defined]
def _started(conn: aiosqlite.Connection) -> bool:
thread: threading.Thread | None = getattr(conn, "_thread", None)
return False if thread is None else thread.is_alive()
return _started
_CONN_STARTED_CHECK = _build_conn_started_check()
+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-sqlite"
version = "3.0.2"
version = "3.0.3"
description = "Library with a SQLite implementation of LangGraph checkpoint saver."
authors = []
requires-python = ">=3.10"
@@ -19,7 +19,7 @@ dependencies = [
[project.urls]
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-sqlite"
Twitter = "https://x.com/LangChainAI"
Twitter = "https://x.com/LangChain"
Slack = "https://www.langchain.com/join-community"
Reddit = "https://www.reddit.com/r/LangChain/"
+566 -425
View File
File diff suppressed because it is too large Load Diff
@@ -119,6 +119,25 @@ class BaseCheckpointSaver(Generic[V]):
Checkpointers allow LangGraph agents to persist their state
within and across multiple interactions.
When a checkpointer is configured, you should pass a `thread_id` in the config when
invoking the graph:
```python
config = {"configurable": {"thread_id": "my-thread"}}
graph.invoke(inputs, config)
```
The `thread_id` is the primary key used to store and retrieve checkpoints. Without
it, the checkpointer cannot save state, resume from interrupts, or enable
time-travel debugging.
How you choose ``thread_id`` depends on your use case:
- **Single-shot workflows**: Use a unique ID (e.g., uuid4) for each run when
executions are independent.
- **Conversational memory**: Reuse the same `thread_id` across invocations
to accumulate state (e.g., chat history) within a conversation.
Attributes:
serde (SerializerProtocol): Serializer for encoding/decoding checkpoints.
+1 -1
View File
@@ -18,7 +18,7 @@ dependencies = [
[project.urls]
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint"
Twitter = "https://x.com/LangChainAI"
Twitter = "https://x.com/LangChain"
Slack = "https://www.langchain.com/join-community"
Reddit = "https://www.reddit.com/r/LangChain/"
+564 -462
View File
File diff suppressed because it is too large Load Diff
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.11"
__version__ = "0.4.12"
+2
View File
@@ -179,6 +179,8 @@ class CheckpointerConfig(TypedDict, total=False):
This configuration requires server version 0.5 or later to take effect.
"""
sweep_limit: int | None
"""Maximum number of threads to process per sweep iteration. Defaults to 1000."""
class SecurityConfig(TypedDict, total=False):
+2 -2
View File
@@ -19,14 +19,14 @@ dependencies = [
path = "langgraph_cli/__init__.py"
[project.optional-dependencies]
inmem = [
"langgraph-api>=0.5.35,<0.7.0 ; python_version >= '3.11'",
"langgraph-api>=0.5.35,<0.8.0 ; python_version >= '3.11'",
"langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
"python-dotenv>=0.8.0",
]
[project.urls]
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/cli"
Twitter = "https://x.com/LangChainAI"
Twitter = "https://x.com/LangChain"
Slack = "https://www.langchain.com/join-community"
Reddit = "https://www.reddit.com/r/LangChain/"
+11
View File
@@ -554,6 +554,17 @@
],
"description": "Optional. Defines the serde configuration.\n\nIf provided, the checkpointer will apply serde settings according to the configuration.\nIf omitted, no serde behavior is configured.\n\nThis configuration requires server version 0.5 or later to take effect.\n"
},
"sweep_limit": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"description": "Maximum number of threads to process per sweep iteration. Defaults to 1000."
},
"ttl": {
"anyOf": [
{
+11
View File
@@ -554,6 +554,17 @@
],
"description": "Optional. Defines the serde configuration.\n\nIf provided, the checkpointer will apply serde settings according to the configuration.\nIf omitted, no serde behavior is configured.\n\nThis configuration requires server version 0.5 or later to take effect.\n"
},
"sweep_limit": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"description": "Maximum number of threads to process per sweep iteration. Defaults to 1000."
},
"ttl": {
"anyOf": [
{
+431 -404
View File
File diff suppressed because it is too large Load Diff
+228 -4
View File
@@ -300,7 +300,56 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
**kwargs: Unpack[DeprecatedKwargs],
) -> Self:
"""Add a new node to the `StateGraph`, input schema is inferred as the state schema.
Will take the name of the function/runnable as the node name.
Args:
node: The function or runnable this node will run.
defer: Whether to defer the execution of the node until the run is about to end.
metadata: The metadata associated with the node.
input_schema: The input schema for the node. (Default: the graph's state schema)
retry_policy: The retry policy for the node.
If a sequence is provided, the first matching policy will be applied.
cache_policy: The cache policy for the node.
destinations: Destinations that indicate where a node can route to.
Useful for edgeless graphs with nodes that return `Command` objects.
If a `dict` is provided, the keys will be used as the target node names and the values will be used as the labels for the edges.
If a `tuple` is provided, the values will be used as the target node names.
!!! warning
This is only used for graph rendering and doesn't have any effect on the graph execution.
Example:
```python
from typing_extensions import TypedDict
from langchain_core.runnables import RunnableConfig
from langgraph.graph import START, StateGraph
class State(TypedDict):
x: int
def my_node(state: State, config: RunnableConfig) -> State:
return {"x": state["x"] + 1}
builder = StateGraph(State)
builder.add_node(my_node) # node name will be 'my_node'
builder.add_edge(START, "my_node")
graph = builder.compile()
graph.invoke({"x": 1})
# {'x': 2}
```
Returns:
Self: The instance of the `StateGraph`, allowing for method chaining.
"""
...
@@ -317,8 +366,61 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
destinations: dict[str, str] | tuple[str, ...] | None = None,
**kwargs: Unpack[DeprecatedKwargs],
) -> Self:
"""Add a new node to the `StateGraph`, input schema is specified.
"""Add a new node to the `StateGraph` where input schema is specified.
Will take the name of the function/runnable as the node name.
Args:
node: The function or runnable this node will run.
defer: Whether to defer the execution of the node until the run is about to end.
metadata: The metadata associated with the node.
input_schema: The input schema for the node.
retry_policy: The retry policy for the node.
If a sequence is provided, the first matching policy will be applied.
cache_policy: The cache policy for the node.
destinations: Destinations that indicate where a node can route to.
Useful for edgeless graphs with nodes that return `Command` objects.
If a `dict` is provided, the keys will be used as the target node names and the values will be used as the labels for the edges.
If a `tuple` is provided, the values will be used as the target node names.
!!! warning
This is only used for graph rendering and doesn't have any effect on the graph execution.
Example:
```python
from typing_extensions import TypedDict
from langchain_core.runnables import RunnableConfig
from langgraph.graph import START, StateGraph
class State(TypedDict):
x: int
class NodeInput(TypedDict):
x: int
def my_node(state: NodeInput, config: RunnableConfig) -> State:
return {"x": state["x"] + 1}
builder = StateGraph(State)
builder.add_node(my_node, input_schema=NodeInput) # node name will be 'my_node'
builder.add_edge(START, "my_node")
graph = builder.compile()
graph.invoke({"x": 1})
# {'x': 2}
```
Returns:
Self: The instance of the `StateGraph`, allowing for method chaining.
"""
...
@@ -336,7 +438,57 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
destinations: dict[str, str] | tuple[str, ...] | None = None,
**kwargs: Unpack[DeprecatedKwargs],
) -> Self:
"""Add a new node to the `StateGraph`, input schema is inferred as the state schema."""
"""Add a new node to the `StateGraph`, input schema is inferred as the state schema.
Args:
node: The name of the node.
action: The function or runnable this node will run.
defer: Whether to defer the execution of the node until the run is about to end.
metadata: The metadata associated with the node.
input_schema: The input schema for the node. (Default: the graph's state schema)
retry_policy: The retry policy for the node.
If a sequence is provided, the first matching policy will be applied.
cache_policy: The cache policy for the node.
destinations: Destinations that indicate where a node can route to.
Useful for edgeless graphs with nodes that return `Command` objects.
If a `dict` is provided, the keys will be used as the target node names and the values will be used as the labels for the edges.
If a `tuple` is provided, the values will be used as the target node names.
!!! warning
This is only used for graph rendering and doesn't have any effect on the graph execution.
Example:
```python
from typing_extensions import TypedDict
from langchain_core.runnables import RunnableConfig
from langgraph.graph import START, StateGraph
class State(TypedDict):
x: int
def my_node(state: State, config: RunnableConfig) -> State:
return {"x": state["x"] + 1}
builder = StateGraph(State)
builder.add_node("my_fair_node", my_node)
builder.add_edge(START, "my_fair_node")
graph = builder.compile()
graph.invoke({"x": 1})
# {'x': 2}
```
Returns:
Self: The instance of the `StateGraph`, allowing for method chaining.
"""
...
@overload
@@ -353,7 +505,65 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
destinations: dict[str, str] | tuple[str, ...] | None = None,
**kwargs: Unpack[DeprecatedKwargs],
) -> Self:
"""Add a new node to the `StateGraph`, input schema is specified."""
"""Add a new node to the `StateGraph`, input schema is specified.
Args:
node: The function or runnable this node will run.
If a string is provided, it will be used as the node name, and action will be used as the function or runnable.
action: The action associated with the node.
Will be used as the node function or runnable if `node` is a string (node name).
defer: Whether to defer the execution of the node until the run is about to end.
metadata: The metadata associated with the node.
input_schema: The input schema for the node.
retry_policy: The retry policy for the node.
If a sequence is provided, the first matching policy will be applied.
cache_policy: The cache policy for the node.
destinations: Destinations that indicate where a node can route to.
Useful for edgeless graphs with nodes that return `Command` objects.
If a `dict` is provided, the keys will be used as the target node names and the values will be used as the labels for the edges.
If a `tuple` is provided, the values will be used as the target node names.
!!! warning
This is only used for graph rendering and doesn't have any effect on the graph execution.
Example:
```python
from typing_extensions import TypedDict
from langchain_core.runnables import RunnableConfig
from langgraph.graph import START, StateGraph
class State(TypedDict):
x: int
class NodeInput(TypedDict):
x: int
def my_node(state: NodeInput, config: RunnableConfig) -> State:
return {"x": state["x"] + 1}
builder = StateGraph(State)
builder.add_node("my_fair_node", my_node, input_schema=NodeInput)
builder.add_edge(START, "my_fair_node")
graph = builder.compile()
graph.invoke({"x": 1})
# {'x': 2}
```
Returns:
Self: The instance of the `StateGraph`, allowing for method chaining.
"""
...
def add_node(
@@ -376,6 +586,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
If a string is provided, it will be used as the node name, and action will be used as the function or runnable.
action: The action associated with the node.
Will be used as the node function or runnable if `node` is a string (node name).
defer: Whether to defer the execution of the node until the run is about to end.
metadata: The metadata associated with the node.
@@ -392,7 +603,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
If a `tuple` is provided, the values will be used as the target node names.
!!! note
!!! warning
This is only used for graph rendering and doesn't have any effect on the graph execution.
@@ -846,6 +1057,19 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
If `None`, it may inherit the parent graph's checkpointer when used as a subgraph.
If `False`, it will not use or inherit any checkpointer.
**Important**: When a checkpointer is enabled, you should pass a `thread_id`
in the config when invoking the graph:
```python
config = {"configurable": {"thread_id": "my-thread"}}
graph.invoke(inputs, config)
```
The `thread_id` is the key used to store and retrieve checkpoints. Use a
unique ID for independent runs, or reuse the same ID to accumulate state
across invocations (e.g., for conversation memory).
interrupt_before: An optional list of node names to interrupt before.
interrupt_after: An optional list of node names to interrupt after.
debug: A flag indicating whether to enable debug mode.
+15
View File
@@ -28,6 +28,21 @@ class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
class Runtime(Generic[ContextT]):
"""Convenience class that bundles run-scoped context and other runtime utilities.
This class is injected into graph nodes and middleware. It provides access to
`context`, `store`, `stream_writer`, and `previous`.
!!! note "Accessing `config`"
`Runtime` does not include `config`. To access `RunnableConfig`, you can inject
it directly by adding a `config: RunnableConfig` parameter to your node function
(recommended), or use `get_config()` from `langgraph.config`.
!!! note
`ToolRuntime` (from `langgraph.prebuilt`) is a subclass that provides similar
functionality but is designed specifically for tools. It shares `context`, `store`,
and `stream_writer` with `Runtime`, and adds tool-specific attributes like `config`,
`state`, and `tool_call_id`.
!!! version-added "Added in version v0.6.0"
Example:
+10 -6
View File
@@ -61,18 +61,22 @@ __all__ = (
Durability = Literal["sync", "async", "exit"]
"""Durability mode for the graph execution.
- `"sync"`: Changes are persisted synchronously before the next step starts.
- `"async"`: Changes are persisted asynchronously while the next step executes.
- `"exit"`: Changes are persisted only when the graph exits."""
- `'sync'`: Changes are persisted synchronously before the next step starts.
- `'async'`: Changes are persisted asynchronously while the next step executes.
- `'exit'`: Changes are persisted only when the graph exits.
"""
All = Literal["*"]
"""Special value to indicate that graph should interrupt on all nodes."""
Checkpointer = None | bool | BaseCheckpointSaver
"""Type of the checkpointer to use for a subgraph.
- True enables persistent checkpointing for this subgraph.
- False disables checkpointing, even if the parent graph has a checkpointer.
- None inherits checkpointer from the parent graph."""
- `True` enables persistent checkpointing for this subgraph.
- `False` disables checkpointing, even if the parent graph has a checkpointer.
- `None` inherits checkpointer from the parent graph.
"""
def ensure_valid_checkpointer(checkpointer: Checkpointer) -> Checkpointer:
+3 -3
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.0.6"
version = "1.0.7"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.10"
@@ -27,7 +27,7 @@ dependencies = [
"langchain-core>=0.1",
"langgraph-checkpoint>=2.1.0,<5.0.0",
"langgraph-sdk>=0.3.0,<0.4.0",
"langgraph-prebuilt>=1.0.2,<1.1.0",
"langgraph-prebuilt>=1.0.7,<1.1.0",
"xxhash>=3.5.0",
"pydantic>=2.7.4",
]
@@ -38,7 +38,7 @@ Homepage = "https://docs.langchain.com/oss/python/langgraph/overview"
Documentation = "https://reference.langchain.com/python/langgraph/"
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/langgraph"
Changelog = "https://github.com/langchain-ai/langgraph/releases"
Twitter = "https://x.com/LangChainAI"
Twitter = "https://x.com/LangChain"
Slack = "https://www.langchain.com/join-community"
Reddit = "https://www.reddit.com/r/LangChain/"
File diff suppressed because one or more lines are too long
+719 -691
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+12 -4
View File
@@ -121,6 +121,7 @@ class _ToolCallRequestOverrides(TypedDict, total=False):
"""Possible overrides for ToolCallRequest.override() method."""
tool_call: ToolCall
tool: BaseTool
state: Any
@@ -1530,16 +1531,23 @@ def tools_condition(
class ToolRuntime(_DirectlyInjectedToolArg, Generic[ContextT, StateT]):
"""Runtime context automatically injected into tools.
When a tool function has a parameter named `tool_runtime` with type hint
!!! note
This is distinct from `Runtime` (from `langgraph.runtime`), which is injected
into graph nodes and middleware. `ToolRuntime` includes additional tool-specific
attributes like `config`, `state`, and `tool_call_id` that `Runtime` does not
have.
When a tool function has a parameter named `runtime` with type hint
`ToolRuntime`, the tool execution system will automatically inject an instance
containing:
- `state`: The current graph state
- `tool_call_id`: The ID of the current tool call
- `config`: `RunnableConfig` for the current execution
- `context`: Runtime context (from langgraph `Runtime`)
- `store`: `BaseStore` instance for persistent storage (from langgraph `Runtime`)
- `stream_writer`: `StreamWriter` for streaming output (from langgraph `Runtime`)
- `context`: Runtime context (shared with `Runtime`)
- `store`: `BaseStore` instance for persistent storage (shared with `Runtime`)
- `stream_writer`: `StreamWriter` for streaming output (shared with `Runtime`)
No `Annotated` wrapper is needed - just use `runtime: ToolRuntime`
as a parameter.
+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-prebuilt"
version = "1.0.6"
version = "1.0.7"
description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
authors = []
requires-python = ">=3.10"
@@ -30,7 +30,7 @@ dependencies = [
[project.urls]
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/prebuilt"
Twitter = "https://x.com/LangChainAI"
Twitter = "https://x.com/LangChain"
Slack = "https://www.langchain.com/join-community"
Reddit = "https://www.reddit.com/r/LangChain/"
@@ -220,7 +220,10 @@ def test_unregistered_tool_error_when_interceptor_calls_execute() -> None:
)
# Should get validation error message
assert result[0].status == "error"
assert "is not a valid tool" in result[0].content
assert (
result[0].content
== "Error: unregistered_tool is not a valid tool, try one of [registered_tool]."
)
assert result[0].tool_call_id == "2"
@@ -576,3 +579,226 @@ def test_interceptor_verifies_tool_is_none_for_unregistered() -> None:
assert len(captured_requests) == 1
assert captured_requests[0].tool is not None
assert captured_requests[0].tool.name == "registered_tool"
def test_wrap_tool_call_override_unregistered_tool_with_custom_impl() -> None:
"""Test that wrap_tool_call can provide custom implementation for unregistered tool."""
called = False
@dec_tool
def custom_tool_impl() -> str:
"""Custom tool implementation."""
nonlocal called
called = True
return "custom result"
def hook(
request: ToolCallRequest,
execute: Callable[[ToolCallRequest], ToolMessage | Command],
) -> ToolMessage | Command:
if request.tool_call["name"] == "custom_tool":
assert request.tool is None # Unregistered tools have tool=None
return execute(request.override(tool=custom_tool_impl))
return execute(request)
node = ToolNode([registered_tool], wrap_tool_call=hook)
result = node.invoke(
[
AIMessage(
"",
tool_calls=[
{"name": "custom_tool", "args": {}, "id": "1", "type": "tool_call"}
],
)
],
config=_create_config_with_runtime(),
)
assert called
assert result[0].content == "custom result"
assert result[0].tool_call_id == "1"
async def test_awrap_tool_call_override_unregistered_tool_with_custom_impl() -> None:
"""Test that awrap_tool_call can provide custom implementation for unregistered tool."""
called = False
@dec_tool
def custom_async_tool_impl() -> str:
"""Custom async tool implementation."""
nonlocal called
called = True
return "async custom result"
async def hook(
request: ToolCallRequest,
execute: Callable[[ToolCallRequest], Awaitable[ToolMessage | Command]],
) -> ToolMessage | Command:
if request.tool_call["name"] == "custom_async_tool":
assert request.tool is None # Unregistered tools have tool=None
return await execute(request.override(tool=custom_async_tool_impl))
return await execute(request)
node = ToolNode([registered_tool], awrap_tool_call=hook)
result = await node.ainvoke(
[
AIMessage(
"",
tool_calls=[
{
"name": "custom_async_tool",
"args": {},
"id": "1",
"type": "tool_call",
}
],
)
],
config=_create_config_with_runtime(),
)
assert called
assert result[0].content == "async custom result"
assert result[0].tool_call_id == "1"
def test_graceful_failure_when_hook_does_not_override_unregistered_tool_sync() -> None:
"""Test graceful failure when hook doesn't override unregistered tool."""
def passthrough_hook(
request: ToolCallRequest,
execute: Callable[[ToolCallRequest], ToolMessage | Command],
) -> ToolMessage | Command:
return execute(request)
node = ToolNode(
[registered_tool],
wrap_tool_call=passthrough_hook,
handle_tool_errors=True,
)
result = node.invoke(
[
AIMessage(
"",
tool_calls=[
{"name": "nonexistent", "args": {}, "id": "1", "type": "tool_call"}
],
)
],
config=_create_config_with_runtime(),
)
assert result[0].status == "error"
assert result[0].tool_call_id == "1"
assert (
result[0].content
== "Error: nonexistent is not a valid tool, try one of [registered_tool]."
)
def test_graceful_failure_even_when_handle_errors_disabled_sync() -> None:
"""Test that unregistered tool validation returns error even with handle_tool_errors=False."""
def passthrough_hook(
request: ToolCallRequest,
execute: Callable[[ToolCallRequest], ToolMessage | Command],
) -> ToolMessage | Command:
return execute(request)
node = ToolNode(
[registered_tool],
wrap_tool_call=passthrough_hook,
handle_tool_errors=False,
)
result = node.invoke(
[
AIMessage(
"",
tool_calls=[
{"name": "missing", "args": {}, "id": "1", "type": "tool_call"}
],
)
],
config=_create_config_with_runtime(),
)
assert result[0].status == "error"
assert (
result[0].content
== "Error: missing is not a valid tool, try one of [registered_tool]."
)
async def test_graceful_failure_when_hook_does_not_override_unregistered_tool_async() -> (
None
):
"""Test graceful failure when async hook doesn't override unregistered tool."""
async def passthrough_hook(
request: ToolCallRequest,
execute: Callable[[ToolCallRequest], Awaitable[ToolMessage | Command]],
) -> ToolMessage | Command:
return await execute(request)
node = ToolNode(
[registered_tool],
awrap_tool_call=passthrough_hook,
handle_tool_errors=True,
)
result = await node.ainvoke(
[
AIMessage(
"",
tool_calls=[
{"name": "unknown", "args": {}, "id": "1", "type": "tool_call"}
],
)
],
config=_create_config_with_runtime(),
)
assert result[0].status == "error"
assert result[0].tool_call_id == "1"
assert (
result[0].content
== "Error: unknown is not a valid tool, try one of [registered_tool]."
)
async def test_graceful_failure_even_when_handle_errors_disabled_async() -> None:
"""Test that async unregistered tool validation returns error even with handle_tool_errors=False."""
async def passthrough_hook(
request: ToolCallRequest,
execute: Callable[[ToolCallRequest], Awaitable[ToolMessage | Command]],
) -> ToolMessage | Command:
return await execute(request)
node = ToolNode(
[registered_tool],
awrap_tool_call=passthrough_hook,
handle_tool_errors=False,
)
result = await node.ainvoke(
[
AIMessage(
"",
tool_calls=[
{"name": "missing", "args": {}, "id": "1", "type": "tool_call"}
],
)
],
config=_create_config_with_runtime(),
)
assert result[0].status == "error"
assert (
result[0].content
== "Error: missing is not a valid tool, try one of [registered_tool]."
)
+411 -409
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+1 -1
View File
@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
from langgraph_sdk.encryption import Encryption
from langgraph_sdk.encryption.types import EncryptionContext
__version__ = "0.3.2"
__version__ = "0.3.3"
__all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
+14 -2
View File
@@ -737,16 +737,21 @@ class CronsCreate(typing.TypedDict, total=False):
```python
create_params = {
"assistant_id": UUID("123e4567-e89b-12d3-a456-426614173999")
"payload": {"key": "value"},
"schedule": "0 0 * * *",
"cron_id": UUID("123e4567-e89b-12d3-a456-426614174000"),
"thread_id": UUID("123e4567-e89b-12d3-a456-426614174001"),
"user_id": "user123",
"end_time": datetime(2024, 3, 16, 10, 0, 0)
"end_time": datetime(2024, 3, 16, 10, 0, 0),
"enabled": true,
}
```
"""
assistant_id: UUID
"""Unique identifier for the assistant."""
payload: dict[str, typing.Any]
"""Payload for the cron job."""
@@ -765,6 +770,9 @@ class CronsCreate(typing.TypedDict, total=False):
end_time: datetime | None
"""typing.Optional end time for the cron job."""
enabled: bool | None
"""typing.Optional enabled status of the cron job."""
class CronsDelete(typing.TypedDict):
"""Payload for deleting a cron job.
@@ -807,7 +815,8 @@ class CronsUpdate(typing.TypedDict, total=False):
update_params = {
"cron_id": UUID("123e4567-e89b-12d3-a456-426614174000"),
"payload": {"key": "value"},
"schedule": "0 0 * * *"
"schedule": "0 0 * * *",
"enabled": true
}
```
"""
@@ -821,6 +830,9 @@ class CronsUpdate(typing.TypedDict, total=False):
schedule: str | None
"""typing.Optional schedule to update."""
enabled: bool | None
"""typing.Optional enabled status of the cron job."""
class CronsSearch(typing.TypedDict, total=False):
"""Payload for searching cron jobs.
+184 -4
View File
@@ -2984,6 +2984,7 @@ class CronClient:
webhook: str | None = None,
multitask_strategy: str | None = None,
end_time: datetime | None = None,
enabled: bool | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> Run:
@@ -2994,6 +2995,7 @@ class CronClient:
assistant_id: The assistant ID or graph name to use for the cron job.
If using graph name, will default to first assistant created from that graph.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC.
input: The input to the graph.
metadata: Metadata to assign to the cron job runs.
config: The configuration for the assistant.
@@ -3008,6 +3010,7 @@ class CronClient:
multitask_strategy: Multitask strategy to use.
Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
enabled: Whether the cron job is enabled or not.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
@@ -3028,7 +3031,8 @@ class CronClient:
interrupt_before=["node_to_stop_before_1","node_to_stop_before_2"],
interrupt_after=["node_to_stop_after_1","node_to_stop_after_2"],
webhook="https://my.fake.webhook.com",
multitask_strategy="interrupt"
multitask_strategy="interrupt",
enabled=True,
)
```
"""
@@ -3044,6 +3048,7 @@ class CronClient:
"interrupt_after": interrupt_after,
"webhook": webhook,
"end_time": end_time.isoformat() if end_time else None,
"enabled": enabled,
}
if multitask_strategy:
payload["multitask_strategy"] = multitask_strategy
@@ -3071,6 +3076,7 @@ class CronClient:
on_run_completed: OnCompletionBehavior | None = None,
multitask_strategy: str | None = None,
end_time: datetime | None = None,
enabled: bool | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> Run:
@@ -3080,6 +3086,7 @@ class CronClient:
assistant_id: The assistant ID or graph name to use for the cron job.
If using graph name, will default to first assistant created from that graph.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC.
input: The input to the graph.
metadata: Metadata to assign to the cron job runs.
config: The configuration for the assistant.
@@ -3096,6 +3103,7 @@ class CronClient:
multitask_strategy: Multitask strategy to use.
Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
enabled: Whether the cron job is enabled or not.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
@@ -3115,7 +3123,8 @@ class CronClient:
interrupt_before=["node_to_stop_before_1","node_to_stop_before_2"],
interrupt_after=["node_to_stop_after_1","node_to_stop_after_2"],
webhook="https://my.fake.webhook.com",
multitask_strategy="interrupt"
multitask_strategy="interrupt",
enabled=True,
)
```
@@ -3133,6 +3142,7 @@ class CronClient:
"webhook": webhook,
"on_run_completed": on_run_completed,
"end_time": end_time.isoformat() if end_time else None,
"enabled": enabled,
}
if multitask_strategy:
payload["multitask_strategy"] = multitask_strategy
@@ -3170,11 +3180,88 @@ class CronClient:
"""
await self.http.delete(f"/runs/crons/{cron_id}", headers=headers, params=params)
async def update(
self,
cron_id: str,
*,
schedule: str | None = None,
end_time: datetime | None = None,
input: Input | None = None,
metadata: Mapping[str, Any] | None = None,
config: Config | None = None,
context: Context | None = None,
webhook: str | None = None,
interrupt_before: All | list[str] | None = None,
interrupt_after: All | list[str] | None = None,
on_run_completed: OnCompletionBehavior | None = None,
enabled: bool | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> Cron:
"""Update a cron job by ID.
Args:
cron_id: The cron ID to update.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC.
end_time: The end date to stop running the cron.
input: The input to the graph.
metadata: Metadata to assign to the cron job runs.
config: The configuration for the assistant.
context: Static context added to the assistant.
webhook: Webhook to call after LangGraph API call is done.
interrupt_before: Nodes to interrupt immediately before they get executed.
interrupt_after: Nodes to interrupt immediately after they get executed.
on_run_completed: What to do with the thread after the run completes.
Must be one of 'delete' or 'keep'. 'delete' removes the thread
after execution. 'keep' creates a new thread for each execution but does not
clean them up.
enabled: Enable or disable the cron job.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
Returns:
The updated cron job.
???+ example "Example Usage"
```python
client = get_client(url="http://localhost:2024")
updated_cron = await client.crons.update(
cron_id="1ef3cefa-4c09-6926-96d0-3dc97fd5e39b",
schedule="0 10 * * *",
enabled=False,
)
```
"""
payload = {
"schedule": schedule,
"end_time": end_time.isoformat() if end_time else None,
"input": input,
"metadata": metadata,
"config": config,
"context": context,
"webhook": webhook,
"interrupt_before": interrupt_before,
"interrupt_after": interrupt_after,
"on_run_completed": on_run_completed,
"enabled": enabled,
}
payload = {k: v for k, v in payload.items() if v is not None}
return await self.http.patch(
f"/runs/crons/{cron_id}",
json=payload,
headers=headers,
params=params,
)
async def search(
self,
*,
assistant_id: str | None = None,
thread_id: str | None = None,
enabled: bool | None = None,
limit: int = 10,
offset: int = 0,
sort_by: CronSortBy | None = None,
@@ -3188,6 +3275,7 @@ class CronClient:
Args:
assistant_id: The assistant ID or graph name to search for.
thread_id: the thread ID to search for.
enabled: The enabled status to search for.
limit: The maximum number of results to return.
offset: The number of results to skip.
headers: Optional custom headers to include with the request.
@@ -3203,6 +3291,7 @@ class CronClient:
cron_jobs = await client.crons.search(
assistant_id="my_assistant_id",
thread_id="my_thread_id",
enabled=True,
limit=5,
offset=5,
)
@@ -3237,6 +3326,7 @@ class CronClient:
payload = {
"assistant_id": assistant_id,
"thread_id": thread_id,
"enabled": enabled,
"limit": limit,
"offset": offset,
}
@@ -6292,6 +6382,7 @@ class SyncCronClient:
webhook: str | None = None,
multitask_strategy: str | None = None,
end_time: datetime | None = None,
enabled: bool | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> Run:
@@ -6302,6 +6393,7 @@ class SyncCronClient:
assistant_id: The assistant ID or graph name to use for the cron job.
If using graph name, will default to first assistant created from that graph.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC.
input: The input to the graph.
metadata: Metadata to assign to the cron job runs.
config: The configuration for the assistant.
@@ -6314,6 +6406,7 @@ class SyncCronClient:
multitask_strategy: Multitask strategy to use.
Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
enabled: Whether the cron job is enabled. By default, it is considered enabled.
headers: Optional custom headers to include with the request.
Returns:
@@ -6333,7 +6426,8 @@ class SyncCronClient:
interrupt_before=["node_to_stop_before_1","node_to_stop_before_2"],
interrupt_after=["node_to_stop_after_1","node_to_stop_after_2"],
webhook="https://my.fake.webhook.com",
multitask_strategy="interrupt"
multitask_strategy="interrupt",
enabled=True
)
```
"""
@@ -6350,6 +6444,7 @@ class SyncCronClient:
"webhook": webhook,
"multitask_strategy": multitask_strategy,
"end_time": end_time.isoformat() if end_time else None,
"enabled": enabled,
}
payload = {k: v for k, v in payload.items() if v is not None}
return self.http.post(
@@ -6375,6 +6470,7 @@ class SyncCronClient:
on_run_completed: OnCompletionBehavior | None = None,
multitask_strategy: str | None = None,
end_time: datetime | None = None,
enabled: bool | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> Run:
@@ -6384,6 +6480,7 @@ class SyncCronClient:
assistant_id: The assistant ID or graph name to use for the cron job.
If using graph name, will default to first assistant created from that graph.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC.
input: The input to the graph.
metadata: Metadata to assign to the cron job runs.
config: The configuration for the assistant.
@@ -6400,6 +6497,7 @@ class SyncCronClient:
multitask_strategy: Multitask strategy to use.
Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
enabled: Whether the cron job is enabled. By default, it is considered enabled.
headers: Optional custom headers to include with the request.
Returns:
@@ -6419,7 +6517,8 @@ class SyncCronClient:
interrupt_before=["node_to_stop_before_1","node_to_stop_before_2"],
interrupt_after=["node_to_stop_after_1","node_to_stop_after_2"],
webhook="https://my.fake.webhook.com",
multitask_strategy="interrupt"
multitask_strategy="interrupt",
enabled=True
)
```
@@ -6438,6 +6537,7 @@ class SyncCronClient:
"on_run_completed": on_run_completed,
"multitask_strategy": multitask_strategy,
"end_time": end_time.isoformat() if end_time else None,
"enabled": enabled,
}
payload = {k: v for k, v in payload.items() if v is not None}
return self.http.post(
@@ -6473,11 +6573,88 @@ class SyncCronClient:
"""
self.http.delete(f"/runs/crons/{cron_id}", headers=headers, params=params)
def update(
self,
cron_id: str,
*,
schedule: str | None = None,
end_time: datetime | None = None,
input: Input | None = None,
metadata: Mapping[str, Any] | None = None,
config: Config | None = None,
context: Context | None = None,
webhook: str | None = None,
interrupt_before: All | list[str] | None = None,
interrupt_after: All | list[str] | None = None,
on_run_completed: OnCompletionBehavior | None = None,
enabled: bool | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> Cron:
"""Update a cron job by ID.
Args:
cron_id: The cron ID to update.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC.
end_time: The end date to stop running the cron.
input: The input to the graph.
metadata: Metadata to assign to the cron job runs.
config: The configuration for the assistant.
context: Static context added to the assistant.
webhook: Webhook to call after LangGraph API call is done.
interrupt_before: Nodes to interrupt immediately before they get executed.
interrupt_after: Nodes to interrupt immediately after they get executed.
on_run_completed: What to do with the thread after the run completes.
Must be one of 'delete' or 'keep'. 'delete' removes the thread
after execution. 'keep' creates a new thread for each execution but does not
clean them up.
enabled: Enable or disable the cron job.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
Returns:
The updated cron job.
???+ example "Example Usage"
```python
client = get_sync_client(url="http://localhost:8123")
updated_cron = client.crons.update(
cron_id="1ef3cefa-4c09-6926-96d0-3dc97fd5e39b",
schedule="0 10 * * *",
enabled=False,
)
```
"""
payload = {
"schedule": schedule,
"end_time": end_time.isoformat() if end_time else None,
"input": input,
"metadata": metadata,
"config": config,
"context": context,
"webhook": webhook,
"interrupt_before": interrupt_before,
"interrupt_after": interrupt_after,
"on_run_completed": on_run_completed,
"enabled": enabled,
}
payload = {k: v for k, v in payload.items() if v is not None}
return self.http.patch(
f"/runs/crons/{cron_id}",
json=payload,
headers=headers,
params=params,
)
def search(
self,
*,
assistant_id: str | None = None,
thread_id: str | None = None,
enabled: bool | None = None,
limit: int = 10,
offset: int = 0,
sort_by: CronSortBy | None = None,
@@ -6491,6 +6668,7 @@ class SyncCronClient:
Args:
assistant_id: The assistant ID or graph name to search for.
thread_id: the thread ID to search for.
enabled: Whether the cron job is enabled.
limit: The maximum number of results to return.
offset: The number of results to skip.
headers: Optional custom headers to include with the request.
@@ -6505,6 +6683,7 @@ class SyncCronClient:
cron_jobs = client.crons.search(
assistant_id="my_assistant_id",
thread_id="my_thread_id",
enabled=True,
limit=5,
offset=5,
)
@@ -6538,6 +6717,7 @@ class SyncCronClient:
payload = {
"assistant_id": assistant_id,
"thread_id": thread_id,
"enabled": enabled,
"limit": limit,
"offset": offset,
}
+1 -1
View File
@@ -38,7 +38,7 @@ class APIError(httpx.HTTPStatusError, LangGraphError):
response = None
httpx.HTTPStatusError.__init__(self, message, request=req, response=response) # type: ignore[arg-type]
LangGraphError.__init__(self)
LangGraphError.__init__(self, message)
self.request = req
self.message = message
+30
View File
@@ -372,6 +372,35 @@ class Cron(TypedDict):
"""The next run date of the cron."""
metadata: dict
"""The metadata of the cron."""
enabled: bool
"""Whether the cron is enabled."""
class CronUpdate(TypedDict, total=False):
"""Payload for updating a cron job. All fields are optional."""
schedule: str
"""The cron schedule to execute this job on."""
end_time: datetime
"""The end date to stop running the cron."""
input: Input
"""The input to the graph."""
metadata: dict[str, Any]
"""Metadata to assign to the cron job runs."""
config: Config
"""The configuration for the assistant."""
context: Context
"""Static context added to the assistant."""
webhook: str
"""Webhook to call after LangGraph API call is done."""
interrupt_before: All | list[str]
"""Nodes to interrupt immediately before they get executed."""
interrupt_after: All | list[str]
"""Nodes to interrupt immediately after they get executed."""
on_run_completed: OnCompletionBehavior
"""What to do with the thread after the run completes."""
enabled: bool
"""Enable or disable the cron job."""
# Select field aliases for client-side typing of `select` parameters.
@@ -428,6 +457,7 @@ CronSelectField = Literal[
"metadata",
"now",
"on_run_completed",
"enabled",
]
PrimitiveData = str | int | float | bool | None
+2 -2
View File
@@ -18,7 +18,7 @@ path = "langgraph_sdk/__init__.py"
[project.urls]
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/sdk-py"
Twitter = "https://x.com/LangChainAI"
Twitter = "https://x.com/LangChain"
Slack = "https://www.langchain.com/join-community"
Reddit = "https://www.reddit.com/r/LangChain/"
@@ -30,7 +30,7 @@ test = [
"pytest-watch",
]
lint = [
"ruff==0.14.7",
"ruff==0.14.11",
"codespell",
"mypy==1.19.0",
"ty==0.0.1a27",
+209
View File
@@ -276,3 +276,212 @@ def test_sync_create_with_end_time():
)
assert result == cron
@pytest.mark.parametrize(
"enabled_value",
[True, False],
ids=["enabled", "disabled"],
)
def test_sync_create_with_enabled_parameter(enabled_value):
"""Test that SyncCronClient.create includes enabled parameter in the payload."""
cron = _cron_payload()
def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "POST"
assert request.url.path == "/runs/crons"
body = json.loads(request.content)
assert body["schedule"] == "0 12 * * *"
assert body["assistant_id"] == "asst_456"
assert body["enabled"] == enabled_value
return httpx.Response(200, json=cron)
transport = httpx.MockTransport(handler)
with httpx.Client(transport=transport, base_url="https://example.com") as client:
http_client = SyncHttpClient(client)
cron_client = SyncCronClient(http_client)
result = cron_client.create(
assistant_id="asst_456",
schedule="0 12 * * *",
enabled=enabled_value,
)
assert result == cron
def _cron_response() -> dict[str, object]:
"""Return a mock Cron object response."""
return {
"cron_id": "cron_123",
"assistant_id": "asst_123",
"thread_id": "thread_123",
"on_run_completed": None,
"end_time": "2025-12-31T23:59:59+00:00",
"schedule": "0 10 * * *",
"created_at": "2024-01-01T00:00:00Z",
"updated_at": "2024-01-02T00:00:00Z",
"payload": {},
"user_id": None,
"next_run_date": "2024-01-03T10:00:00Z",
"metadata": {},
"enabled": True,
}
@pytest.mark.asyncio
async def test_async_update():
"""Test that CronClient.update works with schedule and enabled parameters."""
cron = _cron_response()
async def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "PATCH"
assert request.url.path == "/runs/crons/cron_123"
# Parse the request body
body = json.loads(request.content)
assert body["schedule"] == "0 10 * * *"
assert body["enabled"] is False
assert "end_time" not in body # Should be filtered out by the None check
return httpx.Response(200, json=cron)
transport = httpx.MockTransport(handler)
async with httpx.AsyncClient(
transport=transport, base_url="https://example.com"
) as client:
http_client = HttpClient(client)
cron_client = CronClient(http_client)
result = await cron_client.update(
cron_id="cron_123",
schedule="0 10 * * *",
enabled=False,
)
assert result == cron
@pytest.mark.asyncio
async def test_async_update_with_end_time():
"""Test that CronClient.update includes end_time in the payload."""
cron = _cron_response()
end_time = datetime(2025, 12, 31, 23, 59, 59, tzinfo=timezone.utc)
async def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "PATCH"
assert request.url.path == "/runs/crons/cron_123"
# Parse the request body
body = json.loads(request.content)
assert body["schedule"] == "0 10 * * *"
assert body["end_time"] == "2025-12-31T23:59:59+00:00"
assert body["enabled"] is True
return httpx.Response(200, json=cron)
transport = httpx.MockTransport(handler)
async with httpx.AsyncClient(
transport=transport, base_url="https://example.com"
) as client:
http_client = HttpClient(client)
cron_client = CronClient(http_client)
result = await cron_client.update(
cron_id="cron_123",
schedule="0 10 * * *",
end_time=end_time,
enabled=True,
)
assert result == cron
def test_sync_update():
"""Test that SyncCronClient.update works with schedule and enabled parameters."""
cron = _cron_response()
def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "PATCH"
assert request.url.path == "/runs/crons/cron_123"
# Parse the request body
body = json.loads(request.content)
assert body["schedule"] == "0 10 * * *"
assert body["enabled"] is False
assert "end_time" not in body # Should be filtered out by the None check
return httpx.Response(200, json=cron)
transport = httpx.MockTransport(handler)
with httpx.Client(transport=transport, base_url="https://example.com") as client:
http_client = SyncHttpClient(client)
cron_client = SyncCronClient(http_client)
result = cron_client.update(
cron_id="cron_123",
schedule="0 10 * * *",
enabled=False,
)
assert result == cron
def test_sync_update_with_end_time():
"""Test that SyncCronClient.update includes end_time in the payload."""
cron = _cron_response()
end_time = datetime(2025, 12, 31, 23, 59, 59, tzinfo=timezone.utc)
def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "PATCH"
assert request.url.path == "/runs/crons/cron_123"
# Parse the request body
body = json.loads(request.content)
assert body["schedule"] == "0 10 * * *"
assert body["end_time"] == "2025-12-31T23:59:59+00:00"
assert body["enabled"] is True
return httpx.Response(200, json=cron)
transport = httpx.MockTransport(handler)
with httpx.Client(transport=transport, base_url="https://example.com") as client:
http_client = SyncHttpClient(client)
cron_client = SyncCronClient(http_client)
result = cron_client.update(
cron_id="cron_123",
schedule="0 10 * * *",
end_time=end_time,
enabled=True,
)
assert result == cron
@pytest.mark.parametrize(
"enabled_value",
[True, False],
ids=["enabled", "disabled"],
)
def test_sync_update_with_enabled_parameter(enabled_value):
"""Test that SyncCronClient.update includes enabled parameter in the payload."""
cron = _cron_response()
def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "PATCH"
assert request.url.path == "/runs/crons/cron_456"
body = json.loads(request.content)
assert body["enabled"] == enabled_value
assert "schedule" not in body # Only enabled is set
return httpx.Response(200, json=cron)
transport = httpx.MockTransport(handler)
with httpx.Client(transport=transport, base_url="https://example.com") as client:
http_client = SyncHttpClient(client)
cron_client = SyncCronClient(http_client)
result = cron_client.update(
cron_id="cron_456",
enabled=enabled_value,
)
assert result == cron
+36
View File
@@ -106,3 +106,39 @@ def test_field_extraction_from_json_body() -> None:
assert err.code == "invalid_param"
assert err.param == "limit"
assert err.type == "invalid_request_error"
def test_error_message_in_str_and_args() -> None:
"""Test that error message is accessible via str() and args."""
r = make_response(422, json_body={"message": "Validation failed"})
with pytest.raises(UnprocessableEntityError) as ei:
_raise_for_status_typed(r)
err = cast("UnprocessableEntityError", ei.value)
assert str(err) == "Validation failed"
assert err.args == ("Validation failed",)
assert err.message == "Validation failed"
@pytest.mark.parametrize(
"status,exc_type",
[
(400, BadRequestError),
(401, AuthenticationError),
(403, PermissionDeniedError),
(404, NotFoundError),
(409, ConflictError),
(422, UnprocessableEntityError),
(429, RateLimitError),
(500, InternalServerError),
],
)
def test_all_error_types_display_message(
status: int, exc_type: type[APIStatusError]
) -> None:
"""Test that all error subclasses properly display their message."""
r = make_response(status, json_body={"message": "test error message"})
with pytest.raises(exc_type) as ei:
_raise_for_status_typed(r)
err = ei.value
assert str(err) == "test error message"
assert "test error message" in err.args
+227 -231
View File
@@ -13,16 +13,16 @@ wheels = [
[[package]]
name = "anyio"
version = "4.12.0"
version = "4.12.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
{ name = "idna" },
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/16/ce/8a777047513153587e5434fd752e89334ac33e379aa3497db860eeb60377/anyio-4.12.0.tar.gz", hash = "sha256:73c693b567b0c55130c104d0b43a9baf3aa6a31fc6110116509f27bf75e21ec0", size = 228266, upload-time = "2025-11-28T23:37:38.911Z" }
sdist = { url = "https://files.pythonhosted.org/packages/96/f0/5eb65b2bb0d09ac6776f2eb54adee6abe8228ea05b20a5ad0e4945de8aac/anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703", size = 228685, upload-time = "2026-01-06T11:45:21.246Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/7f/9c/36c5c37947ebfb8c7f22e0eb6e4d188ee2d53aa3880f3f2744fb894f0cb1/anyio-4.12.0-py3-none-any.whl", hash = "sha256:dad2376a628f98eeca4881fc56cd06affd18f659b17a747d3ff0307ced94b1bb", size = 113362, upload-time = "2025-11-28T23:36:57.897Z" },
{ url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" },
]
[[package]]
@@ -36,11 +36,11 @@ wheels = [
[[package]]
name = "certifi"
version = "2025.11.12"
version = "2026.1.4"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/a2/8c/58f469717fa48465e4a50c014a0400602d3c437d7c0c468e17ada824da3a/certifi-2025.11.12.tar.gz", hash = "sha256:d8ab5478f2ecd78af242878415affce761ca6bc54a22a27e026d7c25357c3316", size = 160538, upload-time = "2025-11-12T02:54:51.517Z" }
sdist = { url = "https://files.pythonhosted.org/packages/e0/2d/a891ca51311197f6ad14a7ef42e2399f36cf2f9bd44752b3dc4eab60fdc5/certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120", size = 154268, upload-time = "2026-01-04T02:42:41.825Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/70/7d/9bc192684cea499815ff478dfcdc13835ddf401365057044fb721ec6bddb/certifi-2025.11.12-py3-none-any.whl", hash = "sha256:97de8790030bbd5c2d96b7ec782fc2f7820ef8dba6db909ccf95449f2d062d4b", size = 159438, upload-time = "2025-11-12T02:54:49.735Z" },
{ url = "https://files.pythonhosted.org/packages/e6/ad/3cc14f097111b4de0040c83a525973216457bbeeb63739ef1ed275c1c021/certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c", size = 152900, upload-time = "2026-01-04T02:42:40.15Z" },
]
[[package]]
@@ -184,14 +184,14 @@ dev = [
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watch" },
{ name = "ruff", specifier = "==0.14.7" },
{ name = "ruff", specifier = "==0.14.11" },
{ name = "starlette" },
{ name = "ty", specifier = "==0.0.1a27" },
]
lint = [
{ name = "codespell" },
{ name = "mypy", specifier = "==1.19.0" },
{ name = "ruff", specifier = "==0.14.7" },
{ name = "ruff", specifier = "==0.14.11" },
{ name = "starlette" },
{ name = "ty", specifier = "==0.0.1a27" },
]
@@ -204,75 +204,75 @@ test = [
[[package]]
name = "librt"
version = "0.6.3"
version = "0.7.8"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/37/c3/cdff3c10e2e608490dc0a310ccf11ba777b3943ad4fcead2a2ade98c21e1/librt-0.6.3.tar.gz", hash = "sha256:c724a884e642aa2bbad52bb0203ea40406ad742368a5f90da1b220e970384aae", size = 54209, upload-time = "2025-11-29T14:01:56.058Z" }
sdist = { url = "https://files.pythonhosted.org/packages/e7/24/5f3646ff414285e0f7708fa4e946b9bf538345a41d1c375c439467721a5e/librt-0.7.8.tar.gz", hash = "sha256:1a4ede613941d9c3470b0368be851df6bb78ab218635512d0370b27a277a0862", size = 148323, upload-time = "2026-01-14T12:56:16.876Z" }
wheels = [
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