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-12
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@@ -8,8 +8,6 @@ body:
value: |
Thank you for taking the time to file a bug report.
> **All contributions must be in English.** See the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy).
For usage questions, feature requests and general design questions, please use the [LangChain Forum](https://forum.langchain.com/).
Check these before submitting to see if your issue has already been reported, fixed or if there's another way to solve your problem:
@@ -39,16 +37,6 @@ body:
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: related
validations:
required: false
attributes:
label: Related Issues / PRs
description: |
If this bug is related to any existing issues or pull requests, please link them here.
placeholder: |
* e.g. #123, #456
- type: textarea
id: reproduction
validations:
+2 -2
View File
@@ -2,13 +2,13 @@ blank_issues_enabled: false
version: 2.1
contact_links:
- name: 💬 LangChain Forum
url: https://forum.langchain.com/
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/langgraph/
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
+8 -7
View File
@@ -1,21 +1,22 @@
name: "\U0001F512 Privileged"
description: You are a LangGraph maintainer. If not, check the other options.
name: 🔒 Privileged
description: You are a LangGraph maintainer, or was asked directly by a maintainer to create an issue here. If not, check the other options.
body:
- type: markdown
attributes:
value: |
> **All contributions must be in English.** See the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy).
Thanks for your interest in LangGraph! 🚀
If you are not a LangGraph maintainer, employee, or were not asked directly by a maintainer to create an issue, then please start the conversation on the [LangChain Forum](https://forum.langchain.com/) instead.
If you are not a LangGraph maintainer or were not asked directly by a maintainer to create an issue, then please start the conversation on the [LangChain Forum](https://forum.langchain.com/) instead.
**Note:** Do not begin work on a PR unless explicitly assigned to this issue by a maintainer.
You are a LangGraph maintainer if you maintain any of the packages inside of the LangGraph repository
or are a regular contributor to LangGraph with previous merged merged pull requests.
- type: checkboxes
id: privileged
attributes:
label: Privileged issue
description: Confirm that you are allowed to create an issue here.
options:
- label: I am a LangGraph maintainer.
- label: I am a LangGraph maintainer, or was asked directly by a LangGraph maintainer to create an issue here.
required: true
- type: textarea
id: content
@@ -25,4 +26,4 @@ body:
- type: markdown
attributes:
value: |
Please do not begin work on a PR unless explicitly assigned to this issue by a maintainer.
Community members should **NOT** work on Privileged issues unless these issues have been explicitly marked with a "help-wanted" tag.
+24 -33
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@@ -1,40 +1,31 @@
Fixes #
Thank you for contributing to LangGraph! Follow these steps to mark your pull request as ready for review. **If any of these steps are not completed, your PR will not be considered for review.**
<!-- Replace everything above this line with a 1-2 sentence description of your change. Keep the "Fixes #xx" keyword and update the issue number. -->
- [ ] **PR title**: Follows the format: {TYPE}({SCOPE}): {DESCRIPTION}
- Examples:
- feat(core): add multi-tenant support
- fix(cli): resolve flag parsing error
- docs(openai): update API usage examples
- Allowed `{TYPE}` values:
- feat, fix, docs, style, refactor, perf, test, build, ci, chore, revert, release
- Allowed `{SCOPE}` values (optional):
- langgraph, docs, cli, checkpoint, checkpoint-postgres, checkpoint-sqlite, prebuilt, scheduler-kafka, sdk-py
- Once you've written the title, please delete this checklist item; do not include it in the PR.
Read the full contributing guidelines: https://docs.langchain.com/oss/python/contributing/overview
- [ ] **PR message**: ***Delete this entire checklist*** and replace with
- **Description:** a description of the change. Include a [closing keyword](https://docs.github.com/en/issues/tracking-your-work-with-issues/using-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) if applicable.
- **Issue:** the issue # it fixes, if applicable
- **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out!
> **All contributions must be in English.** See the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy).
- [ ] **Add tests and docs**: If you're adding a new integration, you must include:
1. A test for the integration, preferably unit tests that do not rely on network access,
2. An example notebook showing its use. It lives in `docs/docs/integrations` directory.
If you paste a large clearly AI generated description here your PR may be IGNORED or CLOSED!
Thank you for contributing to LangGraph! Follow these steps to have your pull request considered as ready for review.
1. PR title: Should follow the format: TYPE(SCOPE): DESCRIPTION
- feat(langgraph): add multi-tenant support
- Allowed TYPE and SCOPE values: https://github.com/langchain-ai/langgraph/blob/main/.github/workflows/pr_lint.yml#L19-L43
2. PR description:
- Write 1-2 sentences summarizing the change.
- The `Fixes #xx` line at the top is **required** for external contributions — update the issue number and keep the keyword. This links your PR to the approved issue and auto-closes it on merge.
- If there are any breaking changes, please clearly describe them.
- If this PR depends on another PR being merged first, please include "Depends on #PR_NUMBER" in the description.
3. 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.
4. How did you verify your code works?
- [ ] **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:
- All external PRs must link to an issue or discussion where a solution has been approved by a maintainer, and you must be assigned to that issue. PRs without prior approval will be closed.
- PRs should not touch more than one package unless absolutely necessary.
- Do not update the `uv.lock` files or add dependencies to `pyproject.toml` files (even optional ones) unless you have explicit permission to do so by a maintainer.
## Social handles (optional)
<!-- If you'd like a shoutout on release, add your socials below -->
Twitter: @
LinkedIn: https://linkedin.com/in/
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to `pyproject.toml` files (even optional ones) unless they are **required** for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
-35
View File
@@ -1,35 +0,0 @@
# Helper to set up Python and uv with caching
name: uv-install
description: Set up Python and uv with caching
inputs:
python-version:
description: Python version, supporting MAJOR.MINOR only
required: true
enable-cache:
description: Enable caching for uv dependencies
required: false
default: "true"
cache-suffix:
description: Custom cache key suffix for cache invalidation
required: false
default: ""
working-directory:
description: Working directory for cache glob scoping
required: false
default: "**"
runs:
using: composite
steps:
- name: Install uv and set the python version
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ inputs.python-version }}
enable-cache: ${{ inputs.enable-cache }}
cache-dependency-glob: |
${{ inputs.working-directory }}/pyproject.toml
${{ inputs.working-directory }}/uv.lock
${{ inputs.working-directory }}/requirements*.txt
cache-suffix: ${{ inputs.cache-suffix }}
+34 -111
View File
@@ -3,186 +3,109 @@ updates:
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/checkpoint"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/checkpoint-conformance"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/checkpoint-postgres"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/checkpoint-sqlite"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/cli"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/langgraph"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/prebuilt"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "uv"
directory: "/libs/sdk-py"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "npm"
directory: "/libs/cli/js-examples"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
- package-ecosystem: "npm"
directory: "/libs/cli/js-monorepo-example"
schedule:
interval: "monthly"
interval: "weekly"
day: "monday"
groups:
minor-and-patch:
all-dependencies:
patterns:
- "*"
update-types:
- "minor"
- "patch"
major:
patterns:
- "*"
update-types:
- "major"
+6 -5
View File
@@ -41,16 +41,17 @@ jobs:
- name: Get changed files
id: changed-files
if: github.event_name != 'workflow_dispatch'
uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
uses: Ana06/get-changed-files@v2.3.0
with:
filter: "libs/cli/**"
- name: Set up Python ${{ matrix.python-version }}
if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ matrix.python-version }}
enable-cache: true
cache-suffix: "cli-integration-test"
working-directory: libs/cli
ignore-nothing-to-cache: true
- name: Install cli globally
if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
run: pip install -e .
@@ -116,8 +117,8 @@ jobs:
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
echo "Finished starting up langgraph-test-h"
LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
if [ "$LANGGRAPH_VERSION" != "1.1.2" ]; then
echo "LANGGRAPH_VERSION != 1.1.2; $LANGGRAPH_VERSION"
if [ "$LANGGRAPH_VERSION" != "1.0.8" ]; then
echo "LANGGRAPH_VERSION != 1.0.8; $LANGGRAPH_VERSION"
exit 1
fi
LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
+3 -3
View File
@@ -35,16 +35,16 @@ jobs:
- name: Get changed files
id: changed-files
if: github.event_name != 'workflow_dispatch'
uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
uses: Ana06/get-changed-files@v2.3.0
with:
filter: "${{ inputs.working-directory }}/**"
- name: Set up Python ${{ matrix.python-version }}
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ matrix.python-version }}
enable-cache: true
cache-suffix: lint-${{ inputs.working-directory }}
working-directory: ${{ inputs.working-directory }}
- name: Install dependencies
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
+3 -3
View File
@@ -27,13 +27,13 @@ jobs:
steps:
- uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ matrix.python-version }}
enable-cache: true
cache-suffix: test-${{ inputs.working-directory }}
working-directory: ${{ inputs.working-directory }}
- name: Login to Docker Hub
uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
uses: docker/login-action@v4
if: ${{ !github.event.pull_request.head.repo.fork }}
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
+3 -3
View File
@@ -25,13 +25,13 @@ jobs:
steps:
- uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ matrix.python-version }}
enable-cache: true
cache-suffix: "test-langgraph"
working-directory: libs/langgraph
- name: Login to Docker Hub
uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
uses: docker/login-action@v4
if: ${{ !github.event.pull_request.head.repo.fork }}
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
+4 -4
View File
@@ -25,12 +25,12 @@ jobs:
steps:
- uses: actions/checkout@v6
- name: Set up Python ${{ env.PYTHON_VERSION }}
uses: ./.github/actions/uv_setup
- name: Set up Python $${ env.PYTHON_VERSION }}
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ env.PYTHON_VERSION }}
enable-cache: true
cache-suffix: "release"
working-directory: ${{ inputs.working-directory }}
# We want to keep this build stage *separate* from the release stage,
# so that there's no sharing of permissions between them.
@@ -82,7 +82,7 @@ jobs:
path: ${{ inputs.working-directory }}/dist/
- name: Publish to test PyPI
uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: ${{ inputs.working-directory }}/dist/
verbose: true
+2 -2
View File
@@ -20,11 +20,11 @@ jobs:
- uses: actions/checkout@v6
- run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
- name: Set up Python 3.11
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: "3.11"
enable-cache: true
cache-suffix: "bench"
working-directory: libs/langgraph
- name: Install dependencies
run: uv sync --group test
- name: Run benchmarks
+3 -3
View File
@@ -18,15 +18,15 @@ jobs:
- uses: actions/checkout@v6
- id: files
name: Get changed files
uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
uses: Ana06/get-changed-files@v2.3.0
with:
format: json
- name: Set up Python 3.11
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: "3.11"
enable-cache: true
cache-suffix: "bench"
working-directory: libs/langgraph
- name: Install dependencies
run: uv sync --group test
- name: Download baseline
+3 -3
View File
@@ -30,7 +30,7 @@ jobs:
deps: ${{ steps.filter.outputs.deps || 'true' }}
steps:
- uses: actions/checkout@v6
- uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
- uses: dorny/paths-filter@v3
if: github.event_name != 'workflow_dispatch'
id: filter
with:
@@ -125,11 +125,11 @@ jobs:
steps:
- uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: "3.13"
enable-cache: true
cache-suffix: "schema-check-cli"
working-directory: libs/cli
- name: Install CLI dependencies
run: |
cd libs/cli
+1 -1
View File
@@ -46,4 +46,4 @@ jobs:
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v5
uses: actions/deploy-pages@v4
+1 -1
View File
@@ -12,7 +12,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Validate PR Title
uses: amannn/action-semantic-pull-request@48f256284bd46cdaab1048c3721360e808335d50 # v6
uses: amannn/action-semantic-pull-request@v6
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
+10 -11
View File
@@ -28,11 +28,11 @@ jobs:
- uses: actions/checkout@v6
- name: Set up Python
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ env.PYTHON_VERSION }}
enable-cache: true
cache-suffix: "release"
working-directory: ${{ inputs.working-directory }}
# We want to keep this build stage *separate* from the release stage,
# so that there's no sharing of permissions between them.
@@ -173,11 +173,10 @@ jobs:
# used in the real world.
- name: Set up Python
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ env.PYTHON_VERSION }}
enable-cache: false
working-directory: ${{ inputs.working-directory }}
enable-cache: true
- name: Import published package
shell: bash
@@ -264,11 +263,11 @@ jobs:
- uses: actions/checkout@v6
- name: Set up Python
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ env.PYTHON_VERSION }}
enable-cache: true
cache-suffix: "release"
working-directory: ${{ inputs.working-directory }}
- uses: actions/download-artifact@v8
with:
@@ -276,7 +275,7 @@ jobs:
path: ${{ inputs.working-directory }}/dist/
- name: Publish package distributions to PyPI
uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: ${{ inputs.working-directory }}/dist/
verbose: true
@@ -305,11 +304,11 @@ jobs:
- uses: actions/checkout@v6
- name: Set up Python
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ env.PYTHON_VERSION }}
enable-cache: true
cache-suffix: "release"
working-directory: ${{ inputs.working-directory }}
- uses: actions/download-artifact@v8
with:
@@ -317,7 +316,7 @@ jobs:
path: ${{ inputs.working-directory }}/dist/
- name: Create Tag
uses: ncipollo/release-action@339a81892b84b4eeb0f6e744e4574d79d0d9b8dd # v1
uses: ncipollo/release-action@v1
with:
artifacts: "dist/*"
token: ${{ secrets.GITHUB_TOKEN }}
-419
View File
@@ -1,419 +0,0 @@
# Require external PRs to reference an approved issue (e.g. Fixes #NNN) and
# the PR author to be assigned to that issue. On failure the PR is
# labeled "missing-issue-link", commented on, and closed.
#
# Maintainer override: an org member can reopen the PR or remove
# "missing-issue-link" — both add "bypass-issue-check" and reopen.
#
# Dependency: tag-external-prs.yml must apply the "external" label
# first. This workflow does NOT trigger on "opened" (new PRs have no labels
# yet, so the gate would always skip).
name: Require Issue Link
on:
pull_request_target:
types: [edited, reopened, labeled, unlabeled]
# ──────────────────────────────────────────────────────────────────────────────
# Enforcement gate: set to 'true' to activate the issue link requirement.
# When 'false', the workflow still runs the check logic (useful for dry-run
# visibility) but will NOT label, comment, close, or fail PRs.
# ──────────────────────────────────────────────────────────────────────────────
env:
ENFORCE_ISSUE_LINK: "true"
permissions:
contents: read
jobs:
check-issue-link:
# Run when the "external" label is added, on edit/reopen if already labeled,
# or when "missing-issue-link" is removed (triggers maintainer override check).
# Skip entirely when the PR already carries "trusted-contributor" or
# "bypass-issue-check".
if: >-
!contains(github.event.pull_request.labels.*.name, 'trusted-contributor') &&
!contains(github.event.pull_request.labels.*.name, 'bypass-issue-check') &&
(
(github.event.action == 'labeled' && github.event.label.name == 'external') ||
(github.event.action == 'unlabeled' && github.event.label.name == 'missing-issue-link' && contains(github.event.pull_request.labels.*.name, 'external')) ||
(github.event.action != 'labeled' && github.event.action != 'unlabeled' && contains(github.event.pull_request.labels.*.name, 'external'))
)
runs-on: ubuntu-latest
permissions:
actions: write
pull-requests: write
steps:
- name: Check for issue link and assignee
id: check-link
uses: actions/github-script@v8
with:
script: |
const { owner, repo } = context.repo;
const prNumber = context.payload.pull_request.number;
const action = context.payload.action;
// ── Helper: ensure a label exists, then add it to the PR ────────
async function ensureAndAddLabel(labelName, color) {
try {
await github.rest.issues.getLabel({ owner, repo, name: labelName });
} catch (e) {
if (e.status !== 404) throw e;
try {
await github.rest.issues.createLabel({ owner, repo, name: labelName, color });
} catch (createErr) {
// 422 = label was created by a concurrent run between our
// GET and POST — safe to ignore.
if (createErr.status !== 422) throw createErr;
}
}
await github.rest.issues.addLabels({
owner, repo, issue_number: prNumber, labels: [labelName],
});
}
// ── Helper: check if the user who triggered this event (reopened
// the PR / removed the label) has write+ access on the repo ───
// Uses the repo collaborator permission endpoint instead of the
// org membership endpoint. The org endpoint requires the caller
// to be an org member, which GITHUB_TOKEN (an app installation
// token) never is — so it always returns 403.
async function senderIsOrgMember() {
const sender = context.payload.sender?.login;
if (!sender) {
throw new Error('Event has no sender — cannot check permissions');
}
try {
const { data } = await github.rest.repos.getCollaboratorPermissionLevel({
owner, repo, username: sender,
});
const perm = data.permission;
if (['admin', 'maintain', 'write'].includes(perm)) {
console.log(`${sender} has ${perm} permission — treating as maintainer`);
return { isMember: true, login: sender };
}
console.log(`${sender} has ${perm} permission — not a maintainer`);
return { isMember: false, login: sender };
} catch (e) {
if (e.status === 404) {
console.log(`Cannot check permissions for ${sender} — treating as non-maintainer`);
return { isMember: false, login: sender };
}
const status = e.status ?? 'unknown';
throw new Error(
`Permission check failed for ${sender} (HTTP ${status}): ${e.message}`,
);
}
}
// ── Helper: apply maintainer bypass (shared by both override paths) ──
async function applyMaintainerBypass(reason) {
console.log(reason);
// Remove missing-issue-link if present
try {
await github.rest.issues.removeLabel({
owner, repo, issue_number: prNumber, name: 'missing-issue-link',
});
} catch (e) {
if (e.status !== 404) throw e;
}
// Reopen before adding bypass label — a failed reopen is more
// actionable than a closed PR with a bypass label stuck on it.
if (context.payload.pull_request.state === 'closed') {
try {
await github.rest.pulls.update({
owner, repo, pull_number: prNumber, state: 'open',
});
console.log(`Reopened PR #${prNumber}`);
} catch (e) {
// 422 if head branch deleted; 403 if permissions insufficient.
// Bypass labels still apply — maintainer can reopen manually.
core.warning(
`Could not reopen PR #${prNumber} (HTTP ${e.status ?? 'unknown'}): ${e.message}. ` +
`Bypass labels were applied — a maintainer may need to reopen manually.`,
);
}
}
// Add bypass-issue-check so future triggers skip enforcement
await ensureAndAddLabel('bypass-issue-check', '0e8a16');
core.setOutput('has-link', 'true');
core.setOutput('is-assigned', 'true');
}
// ── Maintainer override: removed "missing-issue-link" label ─────
if (action === 'unlabeled') {
const { isMember, login } = await senderIsOrgMember();
if (isMember) {
await applyMaintainerBypass(
`Maintainer ${login} removed missing-issue-link from PR #${prNumber} — bypassing enforcement`,
);
return;
}
// Non-member removed the label — re-add it defensively and
// set failure outputs so downstream steps (comment, close) fire.
// NOTE: addLabels fires a "labeled" event, but the job-level gate
// only matches labeled events for "external", so no re-trigger.
console.log(`Non-member ${login} removed missing-issue-link — re-adding`);
try {
await ensureAndAddLabel('missing-issue-link', 'b76e79');
} catch (e) {
core.warning(
`Failed to re-add missing-issue-link (HTTP ${e.status ?? 'unknown'}): ${e.message}. ` +
`Downstream step will retry.`,
);
}
core.setOutput('has-link', 'false');
core.setOutput('is-assigned', 'false');
return;
}
// ── Maintainer override: reopened PR with "missing-issue-link" ──
const prLabels = context.payload.pull_request.labels.map(l => l.name);
if (action === 'reopened' && prLabels.includes('missing-issue-link')) {
const { isMember, login } = await senderIsOrgMember();
if (isMember) {
await applyMaintainerBypass(
`Maintainer ${login} reopened PR #${prNumber} — bypassing enforcement`,
);
return;
}
console.log(`Non-member ${login} reopened PR — proceeding with check`);
}
// ── Fetch live labels (race guard) ──────────────────────────────
const { data: liveLabels } = await github.rest.issues.listLabelsOnIssue({
owner, repo, issue_number: prNumber,
});
const liveNames = liveLabels.map(l => l.name);
if (liveNames.includes('trusted-contributor') || liveNames.includes('bypass-issue-check')) {
console.log('PR has trusted-contributor or bypass-issue-check label — bypassing');
core.setOutput('has-link', 'true');
core.setOutput('is-assigned', 'true');
return;
}
const body = context.payload.pull_request.body || '';
const pattern = /(?:close[sd]?|fix(?:e[sd])?|resolve[sd]?)\s*#(\d+)/gi;
const matches = [...body.matchAll(pattern)];
if (matches.length === 0) {
console.log('No issue link found in PR body');
core.setOutput('has-link', 'false');
core.setOutput('is-assigned', 'false');
return;
}
const issues = matches.map(m => `#${m[1]}`).join(', ');
console.log(`Found issue link(s): ${issues}`);
core.setOutput('has-link', 'true');
// Check whether the PR author is assigned to at least one linked issue
const prAuthor = context.payload.pull_request.user.login;
const MAX_ISSUES = 5;
const allIssueNumbers = [...new Set(matches.map(m => parseInt(m[1], 10)))];
const issueNumbers = allIssueNumbers.slice(0, MAX_ISSUES);
if (allIssueNumbers.length > MAX_ISSUES) {
core.warning(
`PR references ${allIssueNumbers.length} issues — only checking the first ${MAX_ISSUES}`,
);
}
let assignedToAny = false;
for (const num of issueNumbers) {
try {
const { data: issue } = await github.rest.issues.get({
owner, repo, issue_number: num,
});
const assignees = issue.assignees.map(a => a.login.toLowerCase());
if (assignees.includes(prAuthor.toLowerCase())) {
console.log(`PR author "${prAuthor}" is assigned to #${num}`);
assignedToAny = true;
break;
} else {
console.log(`PR author "${prAuthor}" is NOT assigned to #${num} (assignees: ${assignees.join(', ') || 'none'})`);
}
} catch (error) {
if (error.status === 404) {
console.log(`Issue #${num} not found — skipping`);
} else {
// Non-404 errors (rate limit, server error) must not be
// silently skipped — they could cause false enforcement
// (closing a legitimate PR whose assignment can't be verified).
throw new Error(
`Cannot verify assignee for issue #${num} (${error.status}): ${error.message}`,
);
}
}
}
core.setOutput('is-assigned', assignedToAny ? 'true' : 'false');
- name: Add missing-issue-link label
if: >-
env.ENFORCE_ISSUE_LINK == 'true' &&
(steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
uses: actions/github-script@v8
with:
script: |
const { owner, repo } = context.repo;
const prNumber = context.payload.pull_request.number;
const labelName = 'missing-issue-link';
// Ensure the label exists (no checkout/shared helper available)
try {
await github.rest.issues.getLabel({ owner, repo, name: labelName });
} catch (e) {
if (e.status !== 404) throw e;
try {
await github.rest.issues.createLabel({
owner, repo, name: labelName, color: 'b76e79',
});
} catch (createErr) {
if (createErr.status !== 422) throw createErr;
}
}
await github.rest.issues.addLabels({
owner, repo, issue_number: prNumber, labels: [labelName],
});
- name: Remove missing-issue-link label and reopen PR
if: >-
env.ENFORCE_ISSUE_LINK == 'true' &&
steps.check-link.outputs.has-link == 'true' && steps.check-link.outputs.is-assigned == 'true'
uses: actions/github-script@v8
with:
script: |
const { owner, repo } = context.repo;
const prNumber = context.payload.pull_request.number;
try {
await github.rest.issues.removeLabel({
owner, repo, issue_number: prNumber, name: 'missing-issue-link',
});
} catch (error) {
if (error.status !== 404) throw error;
}
// Reopen if this workflow previously closed the PR. We check the
// event payload labels (not live labels) because we already removed
// missing-issue-link above; the payload still reflects pre-step state.
const labels = context.payload.pull_request.labels.map(l => l.name);
if (context.payload.pull_request.state === 'closed' && labels.includes('missing-issue-link')) {
await github.rest.pulls.update({
owner,
repo,
pull_number: prNumber,
state: 'open',
});
console.log(`Reopened PR #${prNumber}`);
}
- name: Post comment, close PR, and fail
if: >-
env.ENFORCE_ISSUE_LINK == 'true' &&
(steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
uses: actions/github-script@v8
with:
script: |
const { owner, repo } = context.repo;
const prNumber = context.payload.pull_request.number;
const hasLink = '${{ steps.check-link.outputs.has-link }}' === 'true';
const isAssigned = '${{ steps.check-link.outputs.is-assigned }}' === 'true';
const marker = '<!-- require-issue-link -->';
let lines;
if (!hasLink) {
lines = [
marker,
'**This PR has been automatically closed** because it does not link to an approved issue.',
'',
'All external contributions must reference an approved issue or discussion. Please:',
'1. Find or [open an issue](https://github.com/' + owner + '/' + repo + '/issues/new/choose) describing the change',
'2. Wait for a maintainer to approve and assign you',
'3. Add `Fixes #<issue_number>`, `Closes #<issue_number>`, or `Resolves #<issue_number>` to your PR description and the PR will be reopened automatically',
'',
'*Maintainers: reopen this PR or remove the `missing-issue-link` label to bypass this check.*',
];
} else {
lines = [
marker,
'**This PR has been automatically closed** because you are not assigned to the linked issue.',
'',
'External contributors must be assigned to an issue before opening a PR for it. Please:',
'1. Comment on the linked issue to request assignment from a maintainer',
'2. Once assigned, edit your PR description and the PR will be reopened automatically',
'',
'*Maintainers: reopen this PR or remove the `missing-issue-link` label to bypass this check.*',
];
}
const body = lines.join('\n');
// Deduplicate: check for existing comment with the marker
const comments = await github.paginate(
github.rest.issues.listComments,
{ owner, repo, issue_number: prNumber, per_page: 100 },
);
const existing = comments.find(c => c.body && c.body.includes(marker));
if (!existing) {
await github.rest.issues.createComment({
owner,
repo,
issue_number: prNumber,
body,
});
console.log('Posted requirement comment');
} else if (existing.body !== body) {
await github.rest.issues.updateComment({
owner,
repo,
comment_id: existing.id,
body,
});
console.log('Updated existing comment with new message');
} else {
console.log('Comment already exists — skipping');
}
// Close the PR
if (context.payload.pull_request.state === 'open') {
await github.rest.pulls.update({
owner,
repo,
pull_number: prNumber,
state: 'closed',
});
console.log(`Closed PR #${prNumber}`);
}
// Cancel all other in-progress and queued workflow runs for this PR
const headSha = context.payload.pull_request.head.sha;
for (const status of ['in_progress', 'queued']) {
const runs = await github.paginate(
github.rest.actions.listWorkflowRunsForRepo,
{ owner, repo, head_sha: headSha, status, per_page: 100 },
);
for (const run of runs) {
if (run.id === context.runId) continue;
try {
await github.rest.actions.cancelWorkflowRun({
owner, repo, run_id: run.id,
});
console.log(`Cancelled ${status} run ${run.id} (${run.name})`);
} catch (err) {
console.log(`Could not cancel run ${run.id}: ${err.message}`);
}
}
}
const reason = !hasLink
? 'PR must reference an issue using auto-close keywords (e.g., "Fixes #123").'
: 'PR author must be assigned to the linked issue.';
core.setFailed(reason);
-402
View File
@@ -1,402 +0,0 @@
# Automatically tag issues as "external" or "internal" based on whether
# the author is a member of the langchain-ai GitHub organization, and
# apply contributor tier labels to external contributors based on their
# merged PR history.
#
# PR labeling is handled by tag-external-prs.yml.
# PR + issue backfill lives in the backfill job below (workflow_dispatch).
#
# Setup Requirements:
# 1. Create a GitHub App with permissions:
# - Repository: Issues (write), Pull requests (write)
# - Organization: Members (read)
# 2. Install the app on your organization and this repository
# 3. Add these repository secrets:
# - ORG_MEMBERSHIP_APP_ID: Your app's ID
# - ORG_MEMBERSHIP_APP_PRIVATE_KEY: Your app's private key
#
# The GitHub App token is required to check private organization membership.
# Without it, the workflow will fail.
name: Tag External Issues
on:
issues:
types: [opened]
workflow_dispatch:
inputs:
backfill_type:
description: "Backfill type (for initial run)"
default: "both"
type: choice
options:
- prs
- issues
- both
max_items:
description: "Maximum number of items to process"
default: "100"
type: string
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.event.issue.number || github.run_id }}
cancel-in-progress: true
jobs:
tag-external:
if: github.event_name == 'issues'
runs-on: ubuntu-latest
permissions:
issues: write
steps:
- name: Generate GitHub App token
id: app-token
uses: actions/create-github-app-token@v3
with:
app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
- name: Check if contributor is external
if: steps.app-token.outcome == 'success'
id: check-membership
uses: actions/github-script@v8
with:
github-token: ${{ steps.app-token.outputs.token }}
script: |
const { owner, repo } = context.repo;
const author = context.payload.sender.login;
const senderType = context.payload.sender.type;
if (senderType === 'Bot') {
console.log(`${author} is a Bot — treating as internal`);
core.setOutput('is-external', 'false');
return;
}
try {
const membership = await github.rest.orgs.getMembershipForUser({
org: 'langchain-ai',
username: author,
});
const isExternal = membership.data.state !== 'active';
console.log(
isExternal
? `${author} has pending membership — treating as external`
: `${author} is an active member of langchain-ai`,
);
core.setOutput('is-external', isExternal ? 'true' : 'false');
} catch (e) {
if (e.status === 404) {
console.log(`${author} is not a member of langchain-ai`);
core.setOutput('is-external', 'true');
} else {
throw new Error(
`Membership check failed for ${author} (${e.status}): ${e.message}`,
);
}
}
- name: Apply contributor tier label
if: steps.check-membership.outputs.is-external == 'true'
uses: actions/github-script@v8
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const { owner, repo } = context.repo;
const issue = context.payload.issue;
const author = issue.user.login;
const issueNumber = issue.number;
const TRUSTED_THRESHOLD = 5;
const LABEL_COLOR = 'b76e79';
let mergedCount;
try {
const result = await github.rest.search.issuesAndPullRequests({
q: `repo:${owner}/${repo} is:pr is:merged author:"${author}"`,
per_page: 1,
});
mergedCount = result?.data?.total_count;
} catch (error) {
if (error?.status !== 422) throw error;
core.warning(`Search failed for ${author}; skipping tier label.`);
return;
}
if (mergedCount == null) {
core.warning(`Search response missing total_count for ${author}; skipping tier label.`);
return;
}
const tierLabel = mergedCount >= TRUSTED_THRESHOLD ? 'trusted-contributor' : null;
if (tierLabel) {
try {
await github.rest.issues.getLabel({ owner, repo, name: tierLabel });
} catch (e) {
if (e.status !== 404) throw e;
try {
await github.rest.issues.createLabel({ owner, repo, name: tierLabel, color: LABEL_COLOR });
} catch (createErr) {
if (createErr.status !== 422) throw createErr;
}
}
await github.rest.issues.addLabels({
owner, repo, issue_number: issueNumber, labels: [tierLabel],
});
console.log(`Applied '${tierLabel}' to #${issueNumber} (${mergedCount} merged PRs)`);
} else {
console.log(`No tier label for ${author} (${mergedCount} merged PRs)`);
}
- name: Add external label
if: steps.check-membership.outputs.is-external == 'true'
uses: actions/github-script@v8
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const { owner, repo } = context.repo;
const issue_number = context.payload.issue.number;
await github.rest.issues.addLabels({
owner, repo, issue_number, labels: ['external'],
});
console.log(`Added 'external' label to issue #${issue_number}`);
- name: Add internal label
if: steps.check-membership.outputs.is-external == 'false'
uses: actions/github-script@v8
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const { owner, repo } = context.repo;
const issue_number = context.payload.issue.number;
await github.rest.issues.addLabels({
owner, repo, issue_number, labels: ['internal'],
});
console.log(`Added 'internal' label to issue #${issue_number}`);
backfill:
if: github.event_name == 'workflow_dispatch'
runs-on: ubuntu-latest
permissions:
contents: read
issues: write
pull-requests: write
steps:
- name: Generate GitHub App token
id: app-token
uses: actions/create-github-app-token@v3
with:
app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
- name: Backfill labels
uses: actions/github-script@v8
with:
github-token: ${{ steps.app-token.outputs.token }}
script: |
const { owner, repo } = context.repo;
const rawMax = '${{ inputs.max_items }}';
const maxItems = parseInt(rawMax, 10);
if (isNaN(maxItems) || maxItems <= 0) {
core.setFailed(`Invalid max_items: "${rawMax}" — must be a positive integer`);
return;
}
const backfillType = '${{ inputs.backfill_type }}';
const TRUSTED_THRESHOLD = 5;
const LABEL_COLOR = 'b76e79';
const tierLabels = ['trusted-contributor'];
// ── Helpers ─────────────────────────────────────────────────
async function ensureLabel(name) {
try {
await github.rest.issues.getLabel({ owner, repo, name });
} catch (e) {
if (e.status !== 404) throw e;
try {
await github.rest.issues.createLabel({ owner, repo, name, color: LABEL_COLOR });
} catch (createErr) {
if (createErr.status !== 422) throw createErr;
}
}
}
async function checkMembership(author, userType) {
if (userType === 'Bot') {
console.log(`${author} is a Bot — treating as internal`);
return { isExternal: false };
}
try {
const membership = await github.rest.orgs.getMembershipForUser({
org: 'langchain-ai',
username: author,
});
const isExternal = membership.data.state !== 'active';
console.log(
isExternal
? `${author} has pending membership — treating as external`
: `${author} is an active member of langchain-ai`,
);
return { isExternal };
} catch (e) {
if (e.status === 404) {
console.log(`${author} is not a member of langchain-ai`);
return { isExternal: true };
}
throw new Error(
`Membership check failed for ${author} (${e.status}): ${e.message}`,
);
}
}
async function getContributorInfo(contributorCache, author, userType) {
if (contributorCache.has(author)) return contributorCache.get(author);
const { isExternal } = await checkMembership(author, userType);
let mergedCount = null;
if (isExternal) {
try {
const result = await github.rest.search.issuesAndPullRequests({
q: `repo:${owner}/${repo} is:pr is:merged author:"${author}"`,
per_page: 1,
});
mergedCount = result?.data?.total_count ?? null;
} catch (e) {
if (e?.status !== 422) throw e;
core.warning(`Search failed for ${author}; skipping tier.`);
}
}
const info = { isExternal, mergedCount };
contributorCache.set(author, info);
return info;
}
// ── Setup ────────────────────────────────────────────────────
for (const name of tierLabels) {
await ensureLabel(name);
}
const contributorCache = new Map();
let processed = 0;
let failures = 0;
// ── Backfill PRs ─────────────────────────────────────────────
if (backfillType === 'prs' || backfillType === 'both') {
const prs = await github.paginate(github.rest.pulls.list, {
owner, repo, state: 'open', per_page: 100,
});
for (const pr of prs) {
if (processed >= maxItems) break;
try {
const author = pr.user.login;
const info = await getContributorInfo(contributorCache, author, pr.user.type);
const labels = [info.isExternal ? 'external' : 'internal'];
if (info.isExternal && info.mergedCount != null && info.mergedCount >= TRUSTED_THRESHOLD) {
labels.push('trusted-contributor');
}
// Ensure all labels exist before batch add
for (const name of labels) {
await ensureLabel(name);
}
// Remove stale tier labels
const currentLabels = (await github.paginate(
github.rest.issues.listLabelsOnIssue,
{ owner, repo, issue_number: pr.number, per_page: 100 },
)).map(l => l.name ?? '');
for (const name of currentLabels) {
if (tierLabels.includes(name) && !labels.includes(name)) {
try {
await github.rest.issues.removeLabel({
owner, repo, issue_number: pr.number, name,
});
} catch (e) {
if (e.status !== 404) throw e;
}
}
}
await github.rest.issues.addLabels({
owner, repo, issue_number: pr.number, labels,
});
console.log(`PR #${pr.number} (${author}): ${labels.join(', ')}`);
processed++;
} catch (e) {
failures++;
core.warning(`Failed to process PR #${pr.number}: ${e.message}`);
}
}
}
// ── Backfill issues ──────────────────────────────────────────
if (backfillType === 'issues' || backfillType === 'both') {
const issues = await github.paginate(github.rest.issues.listForRepo, {
owner, repo, state: 'open', per_page: 100,
});
for (const issue of issues) {
if (processed >= maxItems) break;
if (issue.pull_request) continue;
try {
const author = issue.user.login;
const info = await getContributorInfo(contributorCache, author, issue.user.type);
const labels = [info.isExternal ? 'external' : 'internal'];
if (info.isExternal && info.mergedCount != null && info.mergedCount >= TRUSTED_THRESHOLD) {
labels.push('trusted-contributor');
}
// Ensure all labels exist before batch add
for (const name of labels) {
await ensureLabel(name);
}
// Remove stale tier labels
const currentLabels = (await github.paginate(
github.rest.issues.listLabelsOnIssue,
{ owner, repo, issue_number: issue.number, per_page: 100 },
)).map(l => l.name ?? '');
for (const name of currentLabels) {
if (tierLabels.includes(name) && !labels.includes(name)) {
try {
await github.rest.issues.removeLabel({
owner, repo, issue_number: issue.number, name,
});
} catch (e) {
if (e.status !== 404) throw e;
}
}
}
await github.rest.issues.addLabels({
owner, repo, issue_number: issue.number, labels,
});
console.log(`Issue #${issue.number} (${author}): ${labels.join(', ')}`);
processed++;
} catch (e) {
failures++;
core.warning(`Failed to process issue #${issue.number}: ${e.message}`);
}
}
}
console.log(`\nBackfill complete. Processed ${processed} items, ${failures} failures. ${contributorCache.size} unique authors.`);
-173
View File
@@ -1,173 +0,0 @@
# Automatically tag pull requests as "external" or "internal" based on
# whether the author is a member of the langchain-ai GitHub organization,
# and apply contributor tier labels to external contributors based on
# their merged PR history.
#
# Issue labeling is handled by tag-external-issues.yml.
# Backfill (workflow_dispatch) also lives in tag-external-issues.yml.
#
# Setup Requirements:
# 1. Create a GitHub App with permissions:
# - Repository: Pull requests (write)
# - Organization: Members (read)
# 2. Install the app on your organization and this repository
# 3. Add these repository secrets:
# - ORG_MEMBERSHIP_APP_ID: Your app's ID
# - ORG_MEMBERSHIP_APP_PRIVATE_KEY: Your app's private key
#
# The GitHub App token is required to check private organization membership.
# Without it, the workflow will fail.
name: Tag External PRs
on:
pull_request_target:
types: [opened]
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.run_id }}
cancel-in-progress: true
jobs:
tag-external:
runs-on: ubuntu-latest
permissions:
pull-requests: write
steps:
- name: Generate GitHub App token
id: app-token
uses: actions/create-github-app-token@v3
with:
app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
- name: Check if contributor is external
if: steps.app-token.outcome == 'success'
id: check-membership
uses: actions/github-script@v8
with:
github-token: ${{ steps.app-token.outputs.token }}
script: |
const { owner, repo } = context.repo;
const author = context.payload.sender.login;
const senderType = context.payload.sender.type;
if (senderType === 'Bot') {
console.log(`${author} is a Bot — treating as internal`);
core.setOutput('is-external', 'false');
return;
}
try {
const membership = await github.rest.orgs.getMembershipForUser({
org: 'langchain-ai',
username: author,
});
const isExternal = membership.data.state !== 'active';
console.log(
isExternal
? `${author} has pending membership — treating as external`
: `${author} is an active member of langchain-ai`,
);
core.setOutput('is-external', isExternal ? 'true' : 'false');
} catch (e) {
if (e.status === 404) {
console.log(`${author} is not a member of langchain-ai`);
core.setOutput('is-external', 'true');
} else {
throw new Error(
`Membership check failed for ${author} (${e.status}): ${e.message}`,
);
}
}
# Apply tier label BEFORE the external label so that
# "trusted-contributor" is already present when the "external" labeled
# event fires and triggers require_issue_link.yml.
- name: Apply contributor tier label
if: steps.check-membership.outputs.is-external == 'true'
uses: actions/github-script@v8
with:
# Use App token so the "labeled" event propagates to downstream
# workflows (e.g. require_issue_link.yml).
github-token: ${{ steps.app-token.outputs.token }}
script: |
const { owner, repo } = context.repo;
const pr = context.payload.pull_request;
const author = pr.user.login;
const prNumber = pr.number;
const TRUSTED_THRESHOLD = 5;
const LABEL_COLOR = 'b76e79';
let mergedCount;
try {
const result = await github.rest.search.issuesAndPullRequests({
q: `repo:${owner}/${repo} is:pr is:merged author:"${author}"`,
per_page: 1,
});
mergedCount = result?.data?.total_count;
} catch (error) {
if (error?.status !== 422) throw error;
core.warning(`Search failed for ${author}; skipping tier label.`);
return;
}
if (mergedCount == null) {
core.warning(`Search response missing total_count for ${author}; skipping tier label.`);
return;
}
const tierLabel = mergedCount >= TRUSTED_THRESHOLD ? 'trusted-contributor' : null;
if (tierLabel) {
try {
await github.rest.issues.getLabel({ owner, repo, name: tierLabel });
} catch (e) {
if (e.status !== 404) throw e;
try {
await github.rest.issues.createLabel({ owner, repo, name: tierLabel, color: LABEL_COLOR });
} catch (createErr) {
if (createErr.status !== 422) throw createErr;
}
}
await github.rest.issues.addLabels({
owner, repo, issue_number: prNumber, labels: [tierLabel],
});
console.log(`Applied '${tierLabel}' to PR #${prNumber} (${mergedCount} merged PRs)`);
} else {
console.log(`No tier label for ${author} (${mergedCount} merged PRs)`);
}
- name: Add external label
if: steps.check-membership.outputs.is-external == 'true'
uses: actions/github-script@v8
with:
# Use App token so the "labeled" event propagates to downstream
# workflows (e.g. require_issue_link.yml). Events created by the
# default GITHUB_TOKEN do not trigger additional workflow runs.
github-token: ${{ steps.app-token.outputs.token }}
script: |
const { owner, repo } = context.repo;
const issue_number = context.payload.pull_request.number;
await github.rest.issues.addLabels({
owner, repo, issue_number, labels: ['external'],
});
console.log(`Added 'external' label to PR #${issue_number}`);
- name: Add internal label
if: steps.check-membership.outputs.is-external == 'false'
uses: actions/github-script@v8
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const { owner, repo } = context.repo;
const issue_number = context.payload.pull_request.number;
await github.rest.issues.addLabels({
owner, repo, issue_number, labels: ['internal'],
});
console.log(`Added 'internal' label to PR #${issue_number}`);
+4 -2
View File
@@ -19,16 +19,18 @@ jobs:
- uses: actions/checkout@v6
- name: Set up uv
uses: ./.github/actions/uv_setup
uses: astral-sh/setup-uv@v7
with:
# use minimum supported Python version
python-version: "3.10"
enable-cache: true
cache-suffix: "uv-lock-upgrade"
- name: Run uv lock --upgrade in all Python packages
run: make lock-upgrade
- name: Create Pull Request
uses: peter-evans/create-pull-request@c0f553fe549906ede9cf27b5156039d195d2ece0 # v8
uses: peter-evans/create-pull-request@v8
with:
token: ${{ secrets.GITHUB_TOKEN }}
commit-message: "chore(deps): upgrade dependencies with `uv lock --upgrade`"
-14
View File
@@ -1,14 +0,0 @@
{
"MD013": false,
"MD024": {
"siblings_only": true
},
"MD025": false,
"MD033": false,
"MD034": false,
"MD036": false,
"MD041": false,
"MD046": {
"style": "fenced"
}
}
+66 -54
View File
@@ -1,81 +1,93 @@
<div align="center">
<a href="https://www.langchain.com/langgraph">
<picture>
<source media="(prefers-color-scheme: dark)" srcset=".github/images/logo-dark.svg">
<source media="(prefers-color-scheme: light)" srcset=".github/images/logo-light.svg">
<img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
</picture>
</a>
</div>
<div align="center">
<h3>Low-level orchestration framework for building stateful agents.</h3>
</div>
<div align="center">
<a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
<a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
<a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
<a href="https://x.com/langchain" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
</div>
<picture class="github-only">
<source media="(prefers-color-scheme: light)" srcset=".github/images/logo-light.svg">
<source media="(prefers-color-scheme: dark)" srcset=".github/images/logo-dark.svg">
<img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
</picture>
<div>
<br>
</div>
[![Version](https://img.shields.io/pypi/v/langgraph.svg)](https://pypi.org/project/langgraph/)
[![Downloads](https://static.pepy.tech/badge/langgraph/month)](https://pepy.tech/project/langgraph)
[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://docs.langchain.com/oss/python/langgraph/overview)
Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
```bash
## Get started
Install LangGraph:
```
pip install -U langgraph
```
If you're looking to quickly build agents with LangChain's `create_agent` (built on LangGraph), check out the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
Create a simple workflow:
> [!NOTE]
> Looking for the JS/TS library? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
```python
from langgraph.graph import START, StateGraph
from typing_extensions import TypedDict
## Why use LangGraph?
LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent:
class State(TypedDict):
text: str
- **[Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution)** — Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
- **[Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts)** — Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
- **[Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory)** — Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
- **[Debugging with LangSmith](https://www.langchain.com/langsmith)** — Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
- **[Production-ready deployment](https://docs.langchain.com/langsmith/deployments)** — Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
def node_a(state: State) -> dict:
return {"text": state["text"] + "a"}
def node_b(state: State) -> dict:
return {"text": state["text"] + "b"}
graph = StateGraph(State)
graph.add_node("node_a", node_a)
graph.add_node("node_b", node_b)
graph.add_edge(START, "node_a")
graph.add_edge("node_a", "node_b")
print(graph.compile().invoke({"text": ""}))
# {'text': 'ab'}
```
Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
To quickly build agents with LangChain's `create_agent` (built on LangGraph), see the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
> [!TIP]
> For developing, debugging, and deploying AI agents and LLM applications, see [LangSmith](https://docs.langchain.com/langsmith/home).
## LangGraph ecosystem
## Core benefits
While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents.
LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent. LangGraph does not abstract prompts or architecture, and provides the following central benefits:
To improve your LLM application development, pair LangGraph with:
- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
- [Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts): Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
- [Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory): Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
- [Debugging with LangSmith](http://www.langchain.com/langsmith): Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
- [Production-ready deployment](https://docs.langchain.com/langsmith/app-development): Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
- [Deep Agents](https://github.com/langchain-ai/deepagents) *(new!)* – Build agents that can plan, use subagents, and leverage file systems for complex tasks.
## LangGraph’s ecosystem
While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://docs.langchain.com/oss/python/langgraph/studio).
- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
- [LangSmith](https://www.langchain.com/langsmith) – Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) – Deploy and scale agents effortlessly with a purpose-built deployment platform for long-running, stateful workflows. Discover, reuse, configure, and share agents across teams – and iterate quickly with visual prototyping in [LangSmith Studio](https://docs.langchain.com/langsmith/studio).
---
## Documentation
- [docs.langchain.com](https://docs.langchain.com/oss/python/langgraph/overview) – Comprehensive documentation, including conceptual overviews and guides
- [reference.langchain.com/python/langgraph](https://reference.langchain.com/python/langgraph) – API reference docs for LangGraph packages
- [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart) – Get started building with LangGraph
- [Chat LangChain](https://chat.langchain.com/) – Chat with the LangChain documentation and get answers to your questions
**Discussions**: Visit the [LangChain Forum](https://forum.langchain.com) to connect with the community and share all of your technical questions, ideas, and feedback.
> [!NOTE]
> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
## Additional resources
- **[Guides](https://docs.langchain.com/oss/python/learn)** – Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
- **[LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph)** – Learn the basics of LangGraph in our free, structured course.
- **[Case studies](https://www.langchain.com/built-with-langgraph)** – Hear how industry leaders use LangGraph to ship AI applications at scale.
- [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview) – Learn how to contribute to LangChain projects and find good first issues.
- [Code of Conduct](https://github.com/langchain-ai/langchain/?tab=coc-ov-file) – Our community guidelines and standards for participation.
---
- [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.
- [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
- [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
## Acknowledgements
+48 -18
View File
@@ -1,35 +1,65 @@
# LangGraph
LangGraph documentation has moved to docs.langchain.com.
> LangGraph is a framework for building stateful, multi-actor applications with LLMs. Gain control with LangGraph to design agents that reliably handle complex tasks.
## Overview
LangGraph documentation has moved to https://docs.langchain.com/oss/python/langgraph/overview.
- [LangGraph Overview](https://docs.langchain.com/oss/python/langgraph/overview): Introduction to LangGraph, a library for building stateful, multi-actor applications with LLMs.
- [Why LangGraph?](https://docs.langchain.com/oss/python/langgraph/why-langgraph): Motivation for LangGraph and its key features.
## Docs
- [LangGraph overview](https://docs.langchain.com/oss/python/langgraph/overview): Gain control with LangGraph to design agents that reliably handle complex tasks
- [Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart): Build your first LangGraph agent
- [Install LangGraph](https://docs.langchain.com/oss/python/langgraph/install): Install the LangGraph package
- [Thinking in LangGraph](https://docs.langchain.com/oss/python/langgraph/thinking-in-langgraph): Learn how to think about building agents with LangGraph
- [Workflows and agents](https://docs.langchain.com/oss/python/langgraph/workflows-agents): Understand the difference between workflows and agents in LangGraph
## APIs
- [Graph API overview](https://docs.langchain.com/oss/python/langgraph/graph-api): Learn about the Graph API for building stateful applications
- [Use the graph API](https://docs.langchain.com/oss/python/langgraph/use-graph-api): Build agents using the Graph API
- [Functional API overview](https://docs.langchain.com/oss/python/langgraph/functional-api): Learn about the Functional API for building agents
- [Use the functional API](https://docs.langchain.com/oss/python/langgraph/use-functional-api): Build agents using the Functional API
- [Choosing between Graph and Functional APIs](https://docs.langchain.com/oss/python/langgraph/choosing-apis): Decide which API to use for your use case
## Core Concepts
- [Graph API](https://docs.langchain.com/oss/python/langgraph/graph-api): Learn how to define state, create nodes, and connect them with edges.
- [Streaming](https://docs.langchain.com/oss/python/langgraph/streaming): Stream outputs from your graph for better UX.
- [Persistence](https://docs.langchain.com/oss/python/langgraph/persistence): Add memory and checkpointing to your graphs.
- [Add Memory](https://docs.langchain.com/oss/python/langgraph/add-memory): Implement short-term and long-term memory.
- [Workflows & Agents](https://docs.langchain.com/oss/python/langgraph/workflows-agents): Build agents and workflows with LangGraph.
- [Persistence](https://docs.langchain.com/oss/python/langgraph/persistence): Save and restore graph state
- [Memory](https://docs.langchain.com/oss/python/langgraph/add-memory): Add memory to your agents
- [Memory overview](https://docs.langchain.com/oss/python/langgraph/memory): Understand memory concepts in LangGraph
- [Streaming](https://docs.langchain.com/oss/python/langgraph/streaming): Stream outputs from your graphs
- [Interrupts](https://docs.langchain.com/oss/python/langgraph/interrupts): Pause and resume graph execution for human-in-the-loop workflows
- [Subgraphs](https://docs.langchain.com/oss/python/langgraph/use-subgraphs): Compose graphs with subgraphs
- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build resilient agents with durable execution
- [Use time-travel](https://docs.langchain.com/oss/python/langgraph/use-time-travel): Debug and replay agent execution
## How-To Guides
## Architecture
- [Use Subgraphs](https://docs.langchain.com/oss/python/langgraph/use-subgraphs): Compose graphs using subgraphs.
- [Observability](https://docs.langchain.com/oss/python/langgraph/observability): Add tracing and debugging to your graphs.
- [Common Errors](https://docs.langchain.com/oss/python/langgraph/common-errors): Troubleshoot common LangGraph errors.
- [Application structure](https://docs.langchain.com/oss/python/langgraph/application-structure): Structure your LangGraph applications
- [LangGraph runtime](https://docs.langchain.com/oss/python/langgraph/pregel): Understand the LangGraph runtime
## Deployment & Operations
- [LangSmith Deployment](https://docs.langchain.com/oss/python/langgraph/deploy): Deploy LangGraph applications to LangSmith
- [Run a local server](https://docs.langchain.com/oss/python/langgraph/local-server): Run a LangGraph server locally
- [LangSmith Observability](https://docs.langchain.com/oss/python/langgraph/observability): Monitor and trace LangGraph applications
- [LangSmith Studio](https://docs.langchain.com/oss/python/langgraph/studio): Debug and visualize LangGraph applications
- [Agent Chat UI](https://docs.langchain.com/oss/python/langgraph/ui): Build chat interfaces for your agents
- [Test](https://docs.langchain.com/oss/python/langgraph/test): Test your LangGraph applications
## Tutorials
- [Agentic RAG](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Build an agentic RAG system with LangGraph.
- [SQL Agent](https://docs.langchain.com/oss/python/langgraph/sql-agent): Create a SQL agent with LangGraph.
- [Build a custom RAG agent with LangGraph](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Build a retrieval-augmented generation agent
- [Build a custom SQL agent](https://docs.langchain.com/oss/python/langgraph/sql-agent): Build an agent that queries databases
## Reference
- [API Reference](https://reference.langchain.com/python/langgraph/): Complete API documentation for LangGraph.
- [Case studies](https://docs.langchain.com/oss/python/langgraph/case-studies): Real-world LangGraph implementations
- [Changelog](https://docs.langchain.com/oss/python/langgraph/changelog-py): Python package changelog
## LangGraph Platform
## Errors
For deploying LangGraph applications in production, see the [LangSmith documentation](https://docs.langchain.com/langsmith/agent-server).
- [GRAPH_RECURSION_LIMIT](https://docs.langchain.com/oss/python/langgraph/errors/GRAPH_RECURSION_LIMIT): Graph exceeded maximum recursion depth
- [INVALID_CHAT_HISTORY](https://docs.langchain.com/oss/python/langgraph/errors/INVALID_CHAT_HISTORY): Invalid chat history format
- [INVALID_CONCURRENT_GRAPH_UPDATE](https://docs.langchain.com/oss/python/langgraph/errors/INVALID_CONCURRENT_GRAPH_UPDATE): Concurrent graph update conflict
- [INVALID_GRAPH_NODE_RETURN_VALUE](https://docs.langchain.com/oss/python/langgraph/errors/INVALID_GRAPH_NODE_RETURN_VALUE): Invalid return value from graph node
- [MISSING_CHECKPOINTER](https://docs.langchain.com/oss/python/langgraph/errors/MISSING_CHECKPOINTER): Checkpointer required but not configured
- [MULTIPLE_SUBGRAPHS](https://docs.langchain.com/oss/python/langgraph/errors/MULTIPLE_SUBGRAPHS): Multiple subgraphs error
@@ -89,7 +89,7 @@ async def put_test_checkpoint(
vals = channel_values or {}
cv = channel_versions
if cv is None and vals:
cv: ChannelVersions = {k: 1 for k in vals}
cv = {k: 1 for k in vals}
cp["channel_versions"] = cv
nv = new_versions
if nv is None:
+46 -46
View File
@@ -231,7 +231,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.22"
version = "1.2.13"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -243,22 +243,22 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
sdist = { url = "https://files.pythonhosted.org/packages/b1/a3/c4cd6827a1df46c821e7214b7f7b7a28b189e6c9b84ef15c6d629c5e3179/langchain_core-1.2.22.tar.gz", hash = "sha256:8d8f726d03d3652d403da915126626bb6250747e8ba406537d849e68b9f5d058", size = 842487, upload-time = "2026-03-24T18:48:44.9Z" }
sdist = { url = "https://files.pythonhosted.org/packages/fb/bb/c501ca60556c11ac80d1454bdcac63cb33583ce4e64fc4535ad5a7d5c6ba/langchain_core-1.2.13.tar.gz", hash = "sha256:d2773d0d0130a356378db9a858cfeef64c3d64bc03722f1d4d6c40eb46fdf01b", size = 831612, upload-time = "2026-02-15T07:45:57.014Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/c7/a6/2ffacf0f1a3788f250e75d0b52a24896c413be11be3a6d42bcdf46fbea48/langchain_core-1.2.22-py3-none-any.whl", hash = "sha256:7e30d586b75918e828833b9ec1efc25465723566845dd652c277baf751e9c04b", size = 506829, upload-time = "2026-03-24T18:48:43.286Z" },
{ url = "https://files.pythonhosted.org/packages/12/ab/60fd69e5d55f67d422baefddaaca523c42cd7510ab6aeb17db6ae57fb107/langchain_core-1.2.13-py3-none-any.whl", hash = "sha256:b31823e28d3eff1e237096d0bd3bf80c6f9624eb471a9496dbfbd427779f8d82", size = 500485, upload-time = "2026-02-15T07:45:55.422Z" },
]
[[package]]
name = "langgraph-checkpoint"
version = "4.0.1"
version = "4.0.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "langchain-core" },
{ name = "ormsgpack" },
]
sdist = { url = "https://files.pythonhosted.org/packages/b1/44/a8df45d1e8b4637e29789fa8bae1db022c953cc7ac80093cfc52e923547e/langgraph_checkpoint-4.0.1.tar.gz", hash = "sha256:b433123735df11ade28829e40ce25b9be614930cd50245ff2af60629234befd9", size = 158135, upload-time = "2026-02-27T21:06:16.092Z" }
sdist = { url = "https://files.pythonhosted.org/packages/98/76/55a18c59dedf39688d72c4b06af73a5e3ea0d1a01bc867b88fbf0659f203/langgraph_checkpoint-4.0.0.tar.gz", hash = "sha256:814d1bd050fac029476558d8e68d87bce9009a0262d04a2c14b918255954a624", size = 137320, upload-time = "2026-01-12T20:30:26.38Z" }
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@@ -164,11 +164,12 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
grouped_ops, num_ops = _group_ops(ops)
results: list[Result] = [None] * num_ops
if self.pipe:
async with self.pipe:
await self._execute_batch(grouped_ops, results)
else:
await self._execute_batch(grouped_ops, results)
async with _ainternal.get_connection(self.conn) as conn:
if self.pipe:
async with self.pipe:
await self._execute_batch(grouped_ops, results, conn)
else:
await self._execute_batch(grouped_ops, results, conn)
return results
@@ -409,10 +410,8 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
self,
grouped_ops: dict,
results: list[Result],
conn: AsyncConnection[DictRow] | None = None,
conn: AsyncConnection[DictRow],
) -> None:
# Keep `conn` for compatibility with subclasses overriding this private hook.
# All database I/O goes through `_cursor()`, which owns connection acquisition.
async with self._cursor(pipeline=True) as cur:
if GetOp in grouped_ops:
await self._batch_get_ops(
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-postgres"
version = "3.0.5"
version = "3.0.4"
description = "Library with a Postgres implementation of LangGraph checkpoint saver."
authors = []
requires-python = ">=3.10"
@@ -20,7 +20,6 @@ from langgraph.store.base import (
)
from psycopg import AsyncConnection
from langgraph.checkpoint.postgres import _ainternal
from langgraph.store.postgres import AsyncPostgresStore
from tests.conftest import (
DEFAULT_URI,
@@ -347,59 +346,6 @@ async def test_batch_list_namespaces_ops(store: AsyncPostgresStore) -> None:
assert ("test", "namespace2") in results[0]
@asynccontextmanager
async def _create_pool_store() -> AsyncIterator[AsyncPostgresStore]:
database = f"test_{uuid.uuid4().hex[:16]}"
uri_parts = DEFAULT_URI.split("/")
uri_base = "/".join(uri_parts[:-1])
query_params = ""
if "?" in uri_parts[-1]:
_, query_params = uri_parts[-1].split("?", 1)
query_params = "?" + query_params
conn_string = f"{uri_base}/{database}{query_params}"
admin_conn_string = DEFAULT_URI
async with await AsyncConnection.connect(
admin_conn_string, autocommit=True
) as conn:
await conn.execute(f"CREATE DATABASE {database}")
try:
async with AsyncPostgresStore.from_conn_string(
conn_string, pool_config={"min_size": 1, "max_size": 1}
) as store:
await store.setup()
yield store
finally:
async with await AsyncConnection.connect(
admin_conn_string, autocommit=True
) as conn:
await conn.execute(f"DROP DATABASE {database}")
async def test_abatch_uses_single_pool_checkout(monkeypatch) -> None:
async with _create_pool_store() as store:
await store.aput(("test",), "key1", {"data": "value1"})
original_get_connection = _ainternal.get_connection
checkout_count = 0
@asynccontextmanager
async def counting_get_connection(conn):
nonlocal checkout_count
checkout_count += 1
async with original_get_connection(conn) as checked_out_conn:
yield checked_out_conn
monkeypatch.setattr(_ainternal, "get_connection", counting_get_connection)
results = await store.abatch([GetOp(namespace=("test",), key="key1")])
assert len(results) == 1
assert results[0] is not None
assert results[0].value == {"data": "value1"}
assert checkout_count == 1
@asynccontextmanager
async def _create_vector_store(
vector_type: str,
+29 -29
View File
@@ -13,16 +13,16 @@ wheels = [
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name = "langchain-core"
version = "1.2.22"
version = "1.2.11"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -252,9 +252,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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@@ -307,7 +307,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.0.5"
version = "3.0.4"
source = { editable = "." }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -1047,7 +1047,7 @@ wheels = [
[[package]]
name = "requests"
version = "2.33.0"
version = "2.32.5"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "certifi" },
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{ name = "idna" },
{ name = "urllib3" },
]
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store: weakref.ReferenceType[BaseStore],
) -> None:
while item := await aqueue.get():
# don't run batch if the future is done (e.g. cancelled)
if item[0].done():
continue
# check if store is still alive
if s := store():
try:
@@ -338,9 +335,6 @@ async def _run(
items = [item]
try:
while item := aqueue.get_nowait():
# don't insert if the future is done (e.g. cancelled)
if item[0].done():
continue
items.append(item)
except asyncio.QueueEmpty:
pass
+103 -103
View File
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[[package]]
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langgraph==1.1.2"
"langgraph==1.0.8"
]
@@ -7,7 +7,7 @@ requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.0.0a2",
"langchain-anthropic==1.0.0a5",
"langgraph==1.1.2"
"langgraph==1.0.8"
]
[tool.uv]
@@ -6,6 +6,6 @@ readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.0.0a2",
"langgraph==1.1.2",
"langgraph==1.0.0a2",
"langchain_community>=0.3.0",
]
+6 -6
View File
@@ -21,23 +21,23 @@
"test:all": "yarn test && yarn test:int && yarn lint:langgraph"
},
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"@langchain/langgraph": "^1.2.5"
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"typescript": "^5.9.3"
File diff suppressed because it is too large Load Diff
@@ -9,8 +9,8 @@
},
"dependencies": {
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},
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+4 -4
View File
@@ -17,18 +17,18 @@
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
},
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"turbo": "^2.8.14",
"typescript": "^5.9.3",
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"prettier": "^3.8.1"
}
}
+140 -140
View File
@@ -28,14 +28,14 @@
debug "^4.3.1"
minimatch "^10.2.4"
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dependencies:
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@@ -120,30 +120,30 @@
uuid "^11.1.0"
zod "^3.25.76 || ^4"
"@langchain/langgraph-checkpoint@^1.0.1":
version "1.0.1"
resolved "https://registry.yarnpkg.com/@langchain/langgraph-checkpoint/-/langgraph-checkpoint-1.0.1.tgz#0ee5bdfeb9878d8d1d99347f23e199e5afd52995"
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resolved "https://registry.yarnpkg.com/@langchain/langgraph-checkpoint/-/langgraph-checkpoint-1.0.0.tgz#ece2ede439d0d0b0b532c4be7817fd5029afe4f8"
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dependencies:
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dependencies:
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p-queue "^9.0.1"
p-retry "^7.1.1"
uuid "^13.0.0"
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version "1.2.5"
resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.5.tgz#f4285b77baee945092795c2989bdd6589dc5b142"
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resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.1.tgz#c83bad4754781b39e536fb0e479adb093988433c"
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@@ -167,36 +167,6 @@
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ignore "^7.0.5"
natural-compare "^1.4.0"
ts-api-utils "^2.4.0"
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"@typescript-eslint/visitor-keys" "8.56.1"
debug "^4.4.3"
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version "8.57.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.57.1.tgz#16af9fe16eedbd7085e4fdc29baa73715c0c55c5"
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version "8.56.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.56.1.tgz#65c8d645f028b927bfc4928593b54e2ecd809244"
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dependencies:
"@typescript-eslint/tsconfig-utils" "^8.57.1"
"@typescript-eslint/types" "^8.57.1"
"@typescript-eslint/tsconfig-utils" "^8.56.1"
"@typescript-eslint/types" "^8.56.1"
debug "^4.4.3"
"@typescript-eslint/scope-manager@8.57.1":
version "8.57.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.57.1.tgz#4524d7e7b420cb501807499684d435ae129aaf35"
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resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.56.1.tgz#254df93b5789a871351335dd23e20bc164060f24"
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"@typescript-eslint/visitor-keys" "8.56.1"
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version "8.57.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.57.1.tgz#9233443ec716882a6f9e240fd900a73f0235f3d7"
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version "8.56.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.56.1.tgz#1afa830b0fada5865ddcabdc993b790114a879b7"
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version "8.57.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.57.1.tgz#c49af1347b5869ca85155547a8f34f84ab386fd9"
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"@typescript-eslint/type-utils@8.56.1":
version "8.56.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.56.1.tgz#7a6c4fabf225d674644931e004302cbbdd2f2e24"
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dependencies:
"@typescript-eslint/types" "8.57.1"
"@typescript-eslint/typescript-estree" "8.57.1"
"@typescript-eslint/utils" "8.57.1"
"@typescript-eslint/types" "8.56.1"
"@typescript-eslint/typescript-estree" "8.56.1"
"@typescript-eslint/utils" "8.56.1"
debug "^4.4.3"
ts-api-utils "^2.4.0"
"@typescript-eslint/types@8.57.1", "@typescript-eslint/types@^8.57.1":
version "8.57.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.57.1.tgz#54b27a8a25a7b45b4f978c3f8e00c4c78f11142c"
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"@typescript-eslint/types@8.56.1", "@typescript-eslint/types@^8.56.1":
version "8.56.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.56.1.tgz#975e5942bf54895291337c91b9191f6eb0632ab9"
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"@typescript-eslint/typescript-estree@8.57.1":
version "8.57.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.57.1.tgz#a9fd28d4a0ec896aa9a9a7e0cead62ea24f99e76"
integrity sha512-ybe2hS9G6pXpqGtPli9Gx9quNV0TWLOmh58ADlmZe9DguLq0tiAKVjirSbtM1szG6+QH6rVXyU6GTLQbWnMY+g==
"@typescript-eslint/typescript-estree@8.56.1":
version "8.56.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.56.1.tgz#3b9e57d8129a860c50864c42188f761bdef3eab0"
integrity sha512-qzUL1qgalIvKWAf9C1HpvBjif+Vm6rcT5wZd4VoMb9+Km3iS3Cv9DY6dMRMDtPnwRAFyAi7YXJpTIEXLvdfPxg==
dependencies:
"@typescript-eslint/project-service" "8.57.1"
"@typescript-eslint/tsconfig-utils" "8.57.1"
"@typescript-eslint/types" "8.57.1"
"@typescript-eslint/visitor-keys" "8.57.1"
"@typescript-eslint/project-service" "8.56.1"
"@typescript-eslint/tsconfig-utils" "8.56.1"
"@typescript-eslint/types" "8.56.1"
"@typescript-eslint/visitor-keys" "8.56.1"
debug "^4.4.3"
minimatch "^10.2.2"
semver "^7.7.3"
tinyglobby "^0.2.15"
ts-api-utils "^2.4.0"
"@typescript-eslint/utils@8.57.1":
version "8.57.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.57.1.tgz#e40f5a7fcff02fd24092a7b52bd6ec029fb50465"
integrity sha512-XUNSJ/lEVFttPMMoDVA2r2bwrl8/oPx8cURtczkSEswY5T3AeLmCy+EKWQNdL4u0MmAHOjcWrqJp2cdvgjn8dQ==
"@typescript-eslint/utils@8.56.1":
version "8.56.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.56.1.tgz#5a86acaf9f1b4c4a85a42effb217f73059f6deb7"
integrity sha512-HPAVNIME3tABJ61siYlHzSWCGtOoeP2RTIaHXFMPqjrQKCGB9OgUVdiNgH7TJS2JNIQ5qQ4RsAUDuGaGme/KOA==
dependencies:
"@eslint-community/eslint-utils" "^4.9.1"
"@typescript-eslint/scope-manager" "8.57.1"
"@typescript-eslint/types" "8.57.1"
"@typescript-eslint/typescript-estree" "8.57.1"
"@typescript-eslint/scope-manager" "8.56.1"
"@typescript-eslint/types" "8.56.1"
"@typescript-eslint/typescript-estree" "8.56.1"
"@typescript-eslint/visitor-keys@8.57.1":
version "8.57.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.57.1.tgz#3af4f88118924d3be983d4b8ae84803f11fe4563"
integrity sha512-YWnmJkXbofiz9KbnbbwuA2rpGkFPLbAIetcCNO6mJ8gdhdZ/v7WDXsoGFAJuM6ikUFKTlSQnjWnVO4ux+UzS6A==
"@typescript-eslint/visitor-keys@8.56.1":
version "8.56.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.56.1.tgz#50e03475c33a42d123dc99e63acf1841c0231f87"
integrity sha512-KiROIzYdEV85YygXw6BI/Dx4fnBlFQu6Mq4QE4MOH9fFnhohw6wX/OAvDY2/C+ut0I3RSPKenvZJIVYqJNkhEw==
dependencies:
"@typescript-eslint/types" "8.57.1"
"@typescript-eslint/types" "8.56.1"
eslint-visitor-keys "^5.0.0"
acorn-jsx@^5.3.2:
@@ -826,15 +796,15 @@ eslint-visitor-keys@^5.0.0, eslint-visitor-keys@^5.0.1:
resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-5.0.1.tgz#9e3c9489697824d2d4ce3a8ad12628f91e9f59be"
integrity sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA==
eslint@^10.1.0:
version "10.1.0"
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.1.0.tgz#9ca98e654e642ab2e1af6d1e9d8613857ac341b4"
integrity sha512-S9jlY/ELKEUwwQnqWDO+f+m6sercqOPSqXM5Go94l7DOmxHVDgmSFGWEzeE/gwgTAr0W103BWt0QLe/7mabIvA==
eslint@^10.0.3:
version "10.0.3"
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.0.3.tgz#360a7de7f2706eb8a32caa17ca983f0089efe694"
integrity sha512-COV33RzXZkqhG9P2rZCFl9ZmJ7WL+gQSCRzE7RhkbclbQPtLAWReL7ysA0Sh4c8Im2U9ynybdR56PV0XcKvqaQ==
dependencies:
"@eslint-community/eslint-utils" "^4.8.0"
"@eslint-community/regexpp" "^4.12.2"
"@eslint/config-array" "^0.23.3"
"@eslint/config-helpers" "^0.5.3"
"@eslint/config-helpers" "^0.5.2"
"@eslint/core" "^1.1.1"
"@eslint/plugin-kit" "^0.6.1"
"@humanfs/node" "^0.16.6"
@@ -847,7 +817,7 @@ eslint@^10.1.0:
escape-string-regexp "^4.0.0"
eslint-scope "^9.1.2"
eslint-visitor-keys "^5.0.1"
espree "^11.2.0"
espree "^11.1.1"
esquery "^1.7.0"
esutils "^2.0.2"
fast-deep-equal "^3.1.3"
@@ -871,10 +841,10 @@ espree@^10.0.1:
acorn-jsx "^5.3.2"
eslint-visitor-keys "^4.2.1"
espree@^11.2.0:
version "11.2.0"
resolved "https://registry.yarnpkg.com/espree/-/espree-11.2.0.tgz#01d5e47dc332aaba3059008362454a8cc34ccaa5"
integrity sha512-7p3DrVEIopW1B1avAGLuCSh1jubc01H2JHc8B4qqGblmg5gI9yumBgACjWo4JlIc04ufug4xJ3SQI8HkS/Rgzw==
espree@^11.1.1:
version "11.1.1"
resolved "https://registry.yarnpkg.com/espree/-/espree-11.1.1.tgz#866f6bc9ccccd6f28876b7a6463abb281b9cb847"
integrity sha512-AVHPqQoZYc+RUM4/3Ly5udlZY/U4LS8pIG05jEjWM2lQMU/oaZ7qshzAl2YP1tfNmXfftH3ohurfwNAug+MnsQ==
dependencies:
acorn "^8.16.0"
acorn-jsx "^5.3.2"
@@ -963,9 +933,9 @@ flat-cache@^4.0.0:
keyv "^4.5.4"
flatted@^3.2.9:
version "3.4.2"
resolved "https://registry.yarnpkg.com/flatted/-/flatted-3.4.2.tgz#f5c23c107f0f37de8dbdf24f13722b3b98d52726"
integrity sha512-PjDse7RzhcPkIJwy5t7KPWQSZ9cAbzQXcafsetQoD7sOJRQlGikNbx7yZp2OotDnJyrDcbyRq3Ttb18iYOqkxA==
version "3.3.3"
resolved "https://registry.yarnpkg.com/flatted/-/flatted-3.3.3.tgz#67c8fad95454a7c7abebf74bb78ee74a44023358"
integrity sha512-GX+ysw4PBCz0PzosHDepZGANEuFCMLrnRTiEy9McGjmkCQYwRq4A/X786G/fjM/+OjsWSU1ZrY5qyARZmO/uwg==
for-each@^0.3.3, for-each@^0.3.5:
version "0.3.5"
@@ -1880,17 +1850,47 @@ tsconfig-paths@^3.15.0:
minimist "^1.2.6"
strip-bom "^3.0.0"
turbo@^2.8.20:
version "2.8.20"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.8.20.tgz#1632aff5453240f5e96597b6439cc7e70cd871e8"
integrity sha512-Rb4qk5YT8RUwwdXtkLpkVhNEe/lor6+WV7S5tTlLpxSz6MjV5Qi8jGNn4gS6NAvrYGA/rNrE6YUQM85sCZUDbQ==
turbo-darwin-64@2.8.14:
version "2.8.14"
resolved "https://registry.yarnpkg.com/turbo-darwin-64/-/turbo-darwin-64-2.8.14.tgz#80d0d414c3e7738df9eb414b4d7de46a4a6be55f"
integrity sha512-9sFi7n2lLfEsGWi5OEoA/eTtQU2BPKtzSYKqufMtDeRmqMT9vKjbv9gJCRkllSVE9BOXA0qXC3diyX8V8rKIKw==
turbo-darwin-arm64@2.8.14:
version "2.8.14"
resolved "https://registry.yarnpkg.com/turbo-darwin-arm64/-/turbo-darwin-arm64-2.8.14.tgz#82223469a29f5831ddba7439c31dff4e0e31bb0b"
integrity sha512-aS4yJuy6A1PCLws+PJpZP0qCURG8Y5iVx13z/WAbKyeDTY6W6PiGgcEllSaeLGxyn++382ztN/EZH85n2zZ6VQ==
turbo-linux-64@2.8.14:
version "2.8.14"
resolved "https://registry.yarnpkg.com/turbo-linux-64/-/turbo-linux-64-2.8.14.tgz#98c38fa898ae8f9f693256c0a3abe8852e64b907"
integrity sha512-XC6wPUDJkakjhNLaS0NrHDMiujRVjH+naEAwvKLArgqRaFkNxjmyNDRM4eu3soMMFmjym6NTxYaF74rvET+Orw==
turbo-linux-arm64@2.8.14:
version "2.8.14"
resolved "https://registry.yarnpkg.com/turbo-linux-arm64/-/turbo-linux-arm64-2.8.14.tgz#60402c49e31f603d903c7d3d9aa92fbc981ca915"
integrity sha512-ChfE7isyVNjZrVSPDwcfqcHLG/FuIBbOFxnt1FM8vSuBGzHAs8AlTdwFNIxlEMJfZ8Ad9mdMxdmsCUPIWiQ6cg==
turbo-windows-64@2.8.14:
version "2.8.14"
resolved "https://registry.yarnpkg.com/turbo-windows-64/-/turbo-windows-64-2.8.14.tgz#dcf39ef4ffe307fe6e460aa1261cf01e2cf3b723"
integrity sha512-FTbIeQL1ycLFW2t9uQNMy+bRSzi3Xhwun/e7ZhFBdM+U0VZxxrtfYEBM9CHOejlfqomk6Jh7aRz0sJoqYn39Hg==
turbo-windows-arm64@2.8.14:
version "2.8.14"
resolved "https://registry.yarnpkg.com/turbo-windows-arm64/-/turbo-windows-arm64-2.8.14.tgz#03115f32db5a3980c1e747541aff135d828baf3f"
integrity sha512-KgZX12cTyhY030qS7ieT8zRkhZZE2VWJasDFVUSVVn17nR7IShpv68/7j5UqJNeRLIGF1XPK0phsP5V5yw3how==
turbo@^2.8.14:
version "2.8.14"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.8.14.tgz#182e8427536d981c106a7f9ac0150727e3d08d87"
integrity sha512-UCTxeMNYT1cKaHiIFdLCQ7ulI+jw5i5uOnJOrRXsgUD7G3+OjlUjwVd7JfeVt2McWSVGjYA3EVW/v1FSsJ5DtA==
optionalDependencies:
"@turbo/darwin-64" "2.8.20"
"@turbo/darwin-arm64" "2.8.20"
"@turbo/linux-64" "2.8.20"
"@turbo/linux-arm64" "2.8.20"
"@turbo/windows-64" "2.8.20"
"@turbo/windows-arm64" "2.8.20"
turbo-darwin-64 "2.8.14"
turbo-darwin-arm64 "2.8.14"
turbo-linux-64 "2.8.14"
turbo-linux-arm64 "2.8.14"
turbo-windows-64 "2.8.14"
turbo-windows-arm64 "2.8.14"
type-check@^0.4.0, type-check@~0.4.0:
version "0.4.0"
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.19"
__version__ = "0.4.15"
+128 -627
View File
@@ -13,7 +13,6 @@ import tempfile
import time
from collections.abc import Callable, Sequence
from contextlib import contextmanager
from datetime import datetime, timezone
import click
import click.exceptions
@@ -27,15 +26,10 @@ from langgraph_cli.config import Config
from langgraph_cli.constants import DEFAULT_CONFIG, DEFAULT_PORT
from langgraph_cli.docker import DockerCapabilities
from langgraph_cli.exec import Runner, subp_exec
from langgraph_cli.helpers import format_log_entry, level_fg, resolve_deployment_id
from langgraph_cli.host_backend import HostBackendClient, HostBackendError
from langgraph_cli.progress import Progress
from langgraph_cli.templates import TEMPLATE_HELP_STRING, create_new
from langgraph_cli.util import (
format_deployments_table,
format_revisions_table,
warn_non_wolfi_distro,
)
from langgraph_cli.util import warn_non_wolfi_distro
from langgraph_cli.version import __version__
RESERVED_ENV_VARS = frozenset(
@@ -293,119 +287,8 @@ OPT_API_VERSION = click.option(
help="API server version to use for the base image. If unspecified, the latest version will be used.",
)
OPT_HOST_API_KEY = click.option(
"--api-key",
envvar="LANGGRAPH_HOST_API_KEY",
help=(
"API key. Can also be set via LANGGRAPH_HOST_API_KEY, "
"LANGSMITH_API_KEY, or LANGCHAIN_API_KEY environment variable or .env file."
),
)
OPT_HOST_DEPLOYMENT_NAME = click.option(
"--name",
envvar=_DEPLOYMENT_NAME_ENV,
help=(
"Deployment name. Can also be set via LANGSMITH_DEPLOYMENT_NAME "
"environment variable or .env file. Defaults to current directory name "
"if --deployment-id is not provided."
),
)
OPT_HOST_URL = click.option(
"--host-url",
envvar="LANGGRAPH_HOST_URL",
default="https://api.host.langchain.com",
hidden=True,
)
OPT_ENGINE_RUNTIME_MODE = click.option(
"--engine-runtime-mode",
type=click.Choice(["combined_queue_worker", "distributed"]),
default="combined_queue_worker",
help="Runtime mode. 'distributed' uses separate executor and orchestrator containers.",
)
class NestedHelpGroup(click.Group):
"""Click group that shows one level of nested subcommands in top-level help."""
def format_commands(
self, ctx: click.Context, formatter: click.HelpFormatter
) -> None:
command_entries: list[tuple[str, click.Command]] = []
def collect_commands(
group: click.Group, parent_ctx: click.Context, prefix: str = ""
) -> None:
for command_name in group.list_commands(parent_ctx):
command = group.get_command(parent_ctx, command_name)
if command is None or command.hidden:
continue
qualified_name = f"{prefix} {command_name}" if prefix else command_name
command_entries.append((qualified_name, command))
if isinstance(command, click.Group):
sub_ctx = click.Context(
command,
info_name=qualified_name,
parent=parent_ctx,
)
collect_commands(command, sub_ctx, qualified_name)
collect_commands(self, ctx)
# Compute the available width for help text up front so we can truncate
# descriptions before handing them to Click. That keeps each command on
# a single line instead of allowing wrapped descriptions.
command_width = max((len(name) for name, _ in command_entries), default=0)
help_width = max(formatter.width - command_width - 6, 10)
rows = [
(name, command.get_short_help_str(help_width))
for name, command in command_entries
]
if rows:
# Render the flattened command list using Click's standard
# definition-list formatter so alignment stays consistent with the
# rest of the CLI help output.
with formatter.section("Commands"):
formatter.write_dl(rows)
class DeployGroup(NestedHelpGroup):
"""Group that treats leading '-' args as passthrough docker flags."""
def parse_args(self, ctx: click.Context, args: list[str]) -> list[str]:
"""Treat leading option-like subcommand tokens as passthrough args.
Click stores the unresolved nested command token on the context after
``Group.parse_args()`` runs, but the backing attribute changed across
supported Click versions. Click 8.1.x stores the value directly on
``protected_args``, while Click 8.2+ stores it on ``_protected_args``
and exposes ``protected_args`` as a deprecated compatibility property.
Since this package allows ``click>=8.1.7``, we need to check both
names to support the full version range without relying on one
version-specific internal detail.
"""
result = super().parse_args(ctx, args)
protected_args = ctx.__dict__.get("protected_args")
if protected_args is None:
protected_args = ctx.__dict__.get("_protected_args", [])
if protected_args and protected_args[0].startswith("-"):
# Click stores the would-be subcommand in _protected_args; if it looks
# like an option (e.g. --build-arg) treat it as passthrough docker
# args instead of insisting on a nested command.
ctx.args = [*protected_args, *ctx.args]
if "protected_args" in ctx.__dict__:
ctx.protected_args = []
elif "_protected_args" in ctx.__dict__:
ctx._protected_args = []
return ctx.args
return result
@click.group(cls=NestedHelpGroup)
@click.group()
@click.version_option(version=__version__, prog_name="LangGraph CLI")
def cli():
pass
@@ -422,7 +305,6 @@ def cli():
@OPT_WATCH
@OPT_POSTGRES_URI
@OPT_API_VERSION
@OPT_ENGINE_RUNTIME_MODE
@click.option(
"--image",
type=str,
@@ -457,7 +339,6 @@ def up(
debugger_base_url: str | None,
postgres_uri: str | None,
api_version: str | None,
engine_runtime_mode: str,
image: str | None,
base_image: str | None,
):
@@ -481,7 +362,6 @@ For production use, requires a license key in env var LANGGRAPH_CLOUD_LICENSE_KE
debugger_base_url=debugger_base_url,
postgres_uri=postgres_uri,
api_version=api_version,
engine_runtime_mode=engine_runtime_mode,
image=image,
base_image=base_image,
)
@@ -638,7 +518,6 @@ def _build(
"\n --base-image langchain/langgraph-server:0.2 # Pin to a minor version (Python)",
)
@OPT_API_VERSION
@OPT_ENGINE_RUNTIME_MODE
@click.option(
"--install-command",
help="Custom install command to run from the build context root. If not provided, auto-detects based on package manager files.",
@@ -660,7 +539,6 @@ def build(
docker_build_args: Sequence[str],
base_image: str | None,
api_version: str | None,
engine_runtime_mode: str,
pull: bool,
tag: str,
install_command: str | None,
@@ -683,17 +561,12 @@ def build(
raise click.UsageError("Docker not installed") from None
config_json = langgraph_cli.config.validate_config_file(config)
warn_non_wolfi_distro(config_json)
effective_base_image = base_image
if engine_runtime_mode == "distributed" and not base_image:
effective_base_image = langgraph_cli.config.default_base_image(
config_json, engine_runtime_mode=engine_runtime_mode
)
_build(
runner,
set,
config,
config_json,
effective_base_image,
base_image,
api_version,
pull,
tag,
@@ -703,122 +576,84 @@ def build(
)
def _deploy_base_options(
func: Callable | None = None,
*,
include_docker_args: bool = True,
validate_config_path: bool = True,
):
"""Apply shared deploy flags.
The group shares most options but should not consume subcommands, so the
docker build args are only attached when requested.
"""
def _apply(target: Callable) -> Callable:
decorators = [
OPT_HOST_API_KEY,
OPT_HOST_DEPLOYMENT_NAME,
click.option(
"--deployment-id",
help=(
"ID of an existing deployment to update. If omitted, "
"--name is used to find or create the deployment."
),
),
click.option(
"--deployment-type",
type=click.Choice(["dev", "prod"]),
default="dev",
show_default=True,
help="Deployment type (used when creating a new deployment).",
),
click.option(
"--no-wait",
is_flag=True,
default=False,
help="Skip waiting for deployment status.",
),
OPT_VERBOSE,
OPT_HOST_URL,
click.option("--image-name", hidden=True),
click.option(
"--tag",
"-t",
default="latest",
show_default=True,
help="Tag to use for the pushed deployment image.",
),
click.option(
"--config",
"-c",
default=DEFAULT_CONFIG,
hidden=True,
type=click.Path(
exists=validate_config_path,
file_okay=True,
dir_okay=False,
resolve_path=True,
path_type=pathlib.Path,
),
),
click.option("--pull/--no-pull", default=True, hidden=True),
click.option("--base-image", hidden=True),
click.option("--install-command", hidden=True),
click.option("--build-command", hidden=True),
click.option("--api-version", type=str, hidden=True),
]
if include_docker_args:
# Only attach build args to the default command; on the group they
# would capture subcommand names like `list` before Click resolves
# them, making those subcommands unreachable.
decorators.append(
click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
)
for decorator in reversed(decorators):
target = decorator(target)
return target
return _apply(func) if func is not None else _apply
@cli.group(
cls=DeployGroup,
@click.option(
"--api-key",
envvar="LANGGRAPH_HOST_API_KEY",
help=(
"[Beta] Build and deploy a LangGraph image to LangSmith Deployment.\n\n"
"API key. Can also be set via LANGGRAPH_HOST_API_KEY, "
"LANGSMITH_API_KEY, or LANGCHAIN_API_KEY environment variable or .env file."
),
)
@click.option(
"--name",
envvar="LANGSMITH_DEPLOYMENT_NAME",
help=(
"Deployment name. Can also be set via LANGSMITH_DEPLOYMENT_NAME "
"environment variable or .env file. Defaults to current directory name "
"if --deployment-id is not provided."
),
)
@click.option(
"--deployment-id",
help=(
"ID of an existing deployment to update. If omitted, "
"--name is used to find or create the deployment."
),
)
@click.option(
"--deployment-type",
type=click.Choice(["dev", "prod"]),
default="dev",
show_default=True,
help="Deployment type (used when creating a new deployment).",
)
@click.option(
"--no-wait",
is_flag=True,
default=False,
help="Skip waiting for deployment status.",
)
@OPT_VERBOSE
@click.option(
"--host-url",
envvar="LANGGRAPH_HOST_URL",
default="https://api.host.langchain.com",
hidden=True,
)
@click.option("--image-name", hidden=True)
@click.option("--image-tag", default="latest", hidden=True)
@click.option(
"--config",
"-c",
default=DEFAULT_CONFIG,
hidden=True,
type=click.Path(
exists=True,
file_okay=True,
dir_okay=False,
resolve_path=True,
path_type=pathlib.Path,
),
)
@click.option("--pull/--no-pull", default=True, hidden=True)
@click.option("--base-image", hidden=True)
@click.option("--install-command", hidden=True)
@click.option("--build-command", hidden=True)
@click.option("--api-version", type=str, hidden=True)
@click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
@cli.command(
help=(
"[Beta] Build and deploy a LangGraph image to LangSmith Deployments.\n\n"
"This command is in beta and under active development. "
"Expect frequent updates and improvements.\n\n"
"Run from the root of your LangGraph project (where langgraph.json "
"is located). This command also accepts build flags (--base-image, "
"--config, --pull, etc.). See 'langgraph build --help' for details."
"--pull, etc.). See 'langgraph build --help' for details."
),
context_settings=dict(ignore_unknown_options=True, allow_extra_args=True),
invoke_without_command=True, # allow `deploy` click group to execute without command
context_settings=dict(ignore_unknown_options=True),
)
@_deploy_base_options(include_docker_args=False, validate_config_path=False)
@click.pass_context
@log_command
def deploy(ctx: click.Context, **_: object):
# We register deploy as both a group and a command here.
# if we detect no subcommand, we run _deploy (basically run langgraph deploy as a top level command)
# otherwise, we return None here and click will proceed to actually run the subcommand (list or delete)
if ctx.invoked_subcommand is not None:
return
docker_build_args = tuple(ctx.args)
ctx.args = [] # Prevent Click from re-processing passthrough args later.
return ctx.forward(_deploy, docker_build_args=docker_build_args)
@deploy.group(
"revisions", cls=NestedHelpGroup, help="[Beta] Manage deployment revisions."
)
def deploy_revisions() -> None:
pass
@_deploy_base_options()
@click.command(context_settings=dict(ignore_unknown_options=True))
def _deploy(
def deploy(
config: pathlib.Path,
pull: bool,
verbose: bool,
@@ -829,7 +664,7 @@ def _deploy(
deployment_type: str,
name: str | None,
image_name: str | None,
tag: str,
image_tag: str,
base_image: str | None,
install_command: str | None,
build_command: str | None,
@@ -846,19 +681,21 @@ def _deploy(
env_vars = _parse_env_from_config(config_json, config)
if not api_key:
for key_name in _API_KEY_ENV_NAMES:
val = env_vars.get(key_name) or os.environ.get(key_name)
if val:
api_key = val
break
if not api_key:
api_key = click.prompt("Host API key", hide_input=True)
if not deployment_id and not name:
name = env_vars.get(_DEPLOYMENT_NAME_ENV)
if not deployment_id and not name:
default_name = _normalize_image_name(pathlib.Path.cwd().name)
name = click.prompt("Deployment name", default=default_name)
if name and not re.fullmatch(r"[a-zA-Z][a-zA-Z0-9-]+", name):
raise click.UsageError(
f"Invalid deployment name '{name}'. "
"Names must start with a letter and contain only letters, numbers, and hyphens. "
"Tip: replace underscores with hyphens (e.g. 'my-deployment')."
)
secrets = _secrets_from_env(env_vars)
# Use buildx to cross-compile for amd64 when running on a non-x86_64 host
@@ -889,21 +726,55 @@ def _deploy(
def log_step(message: str) -> None:
click.secho(message, fg="cyan")
client = _create_host_backend_client(host_url, api_key, env_vars=env_vars)
client = HostBackendClient(host_url, api_key)
step = 1
needs_creation = False
if deployment_id:
log_step(f"{step}. Using deployment {deployment_id}")
_call_host_backend_with_optional_tenant(
client, lambda c: c.get_deployment(deployment_id)
)
try:
client.get_deployment(deployment_id)
except HostBackendError as err:
if (
err.status_code == 403
and "requires workspace specification" in err.message
):
click.secho(
"Your API key is org-scoped and requires a workspace ID.",
fg="yellow",
)
click.secho(
"Find your workspace ID in LangSmith under Settings > Workspaces.",
fg="yellow",
)
tenant_id = click.prompt("Workspace ID")
client = HostBackendClient(host_url, api_key, tenant_id=tenant_id)
client.get_deployment(deployment_id)
else:
raise
step += 1
else:
log_step(f"{step}. Looking up deployment '{name}'")
existing = _call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments(name_contains=name)
)
try:
existing = client.list_deployments(name_contains=name)
except HostBackendError as err:
if (
err.status_code == 403
and "requires workspace specification" in err.message
):
click.secho(
"Your API key is org-scoped and requires a workspace ID.",
fg="yellow",
)
click.secho(
"Find your workspace ID in LangSmith under Settings > Workspaces.",
fg="yellow",
)
tenant_id = click.prompt("Workspace ID")
client = HostBackendClient(host_url, api_key, tenant_id=tenant_id)
existing = client.list_deployments(name_contains=name)
else:
raise
found_id = None
if isinstance(existing, dict):
for dep in existing.get("resources", []):
@@ -1017,7 +888,7 @@ def _deploy(
normalized_registry = normalized_registry.split("//", 1)[1]
repo_seed = image_name or name or config.parent.name
repo_name = _normalize_image_name(repo_seed)
tag_value = _normalize_image_tag(tag)
tag_value = _normalize_image_tag(image_tag)
remote_image = f"{normalized_registry}/{repo_name}:{tag_value}"
registry_host = normalized_registry.split("/")[0]
@@ -1157,180 +1028,11 @@ def _deploy(
)
else:
click.secho(
" Check status in the LangSmith Deployment dashboard.",
" Check status in the LangSmith Deployments dashboard.",
fg="yellow",
)
def _create_host_backend_client(
host_url: str | None,
api_key: str | None,
env_vars: dict[str, str] | None = None,
) -> HostBackendClient:
if env_vars is None:
env_vars = _parse_env_from_config({}, pathlib.Path.cwd() / DEFAULT_CONFIG)
resolved_api_key = api_key
if not resolved_api_key:
for key_name in _API_KEY_ENV_NAMES:
val = env_vars.get(key_name)
if val:
resolved_api_key = val
break
val = os.environ.get(key_name)
if val:
resolved_api_key = val
break
if not resolved_api_key:
click.secho(
"No LangSmith API key found. Create one at Settings > API Keys in LangSmith.",
fg="yellow",
)
resolved_api_key = click.prompt("Enter LangSmith API key", hide_input=True)
return HostBackendClient(host_url, resolved_api_key)
def _call_host_backend_with_optional_tenant(
client: HostBackendClient,
operation: Callable[[HostBackendClient], object],
) -> object:
"""Run *operation*, prompting for a workspace ID on org-scoped 403s.
On success the original *client* is returned as-is. If the user is
prompted for a workspace ID, the tenant header is set on *client*
in-place so all subsequent calls through the same instance are
tenant-aware.
"""
prompted_for_tenant = False
while True:
try:
return operation(client)
except HostBackendError as err:
if (
not prompted_for_tenant
and err.status_code == 403
and "requires workspace specification" in err.message
):
click.secho(
"Your API key is org-scoped and requires a workspace ID.",
fg="yellow",
)
click.secho(
"Find your workspace ID in LangSmith under Settings > Workspaces.",
fg="yellow",
)
client._client.headers["X-Tenant-ID"] = click.prompt("Workspace ID")
prompted_for_tenant = True
continue
if err.status_code == 403 and "not enabled" in err.message.lower():
from urllib.parse import urlparse
smith_host = "smith.langchain.com"
parsed = urlparse(client._base_url)
if (parsed.hostname or "").startswith("eu."):
smith_host = "eu.smith.langchain.com"
raise HostBackendError(
"LangSmith Deployment is not enabled for this organization. "
f"Enable it at https://{smith_host}/host/deployments"
" (ensure this matches the organization for your API key).",
status_code=403,
) from None
raise
@OPT_HOST_API_KEY
@OPT_HOST_URL
@click.option(
"--name-contains",
default="",
help="Only show deployments whose names contain this value.",
)
@deploy.command("list", help="[Beta] List LangSmith Deployments.")
def deploy_list(api_key: str | None, host_url: str | None, name_contains: str) -> None:
client = _create_host_backend_client(host_url, api_key)
response = _call_host_backend_with_optional_tenant(
client,
lambda c: c.list_deployments(name_contains=name_contains),
)
resources = response.get("resources", []) if isinstance(response, dict) else []
deployments = [item for item in resources if isinstance(item, dict)]
if not deployments:
click.echo("No deployments found.")
return
click.echo(format_deployments_table(deployments))
@OPT_HOST_API_KEY
@OPT_HOST_URL
@click.option(
"--limit",
type=int,
default=10,
show_default=True,
help="Maximum number of revisions to return.",
)
@click.argument("deployment_id")
@deploy_revisions.command(
"list",
help=(
"[Beta] List revisions for a LangSmith Deployment.\n\n"
"Use the `deploy list` command to list deployment IDs."
),
)
def deploy_revisions_list(
api_key: str | None, host_url: str | None, limit: int, deployment_id: str
) -> None:
client = _create_host_backend_client(host_url, api_key)
response = _call_host_backend_with_optional_tenant(
client,
lambda c: c.list_revisions(deployment_id, limit=limit),
)
resources = response.get("resources", []) if isinstance(response, dict) else []
revisions = [item for item in resources if isinstance(item, dict)]
if not revisions:
click.echo(f"No revisions found for deployment {deployment_id}.")
return
click.echo(format_revisions_table(revisions))
@OPT_HOST_API_KEY
@OPT_HOST_URL
@click.option(
"--force",
is_flag=True,
default=False,
help="Delete without prompting for confirmation.",
)
@click.argument("deployment_id")
@deploy.command(
"delete",
help=(
"[Beta] Delete a LangSmith Deployment.\n\n"
"Use the `deploy list` command to list deployment IDs."
),
)
def deploy_delete(
api_key: str | None, host_url: str | None, force: bool, deployment_id: str
) -> None:
if not force:
response = click.prompt(
click.style(
f"Are you sure you want to delete deployment ID {deployment_id}? (Y/n)",
fg="yellow",
),
default="Y",
show_default=False,
)
if response.strip().lower() not in {"y", "yes"}:
raise click.Abort()
client = _create_host_backend_client(host_url, api_key)
_call_host_backend_with_optional_tenant(
client,
lambda c: c.delete_deployment(deployment_id),
)
click.secho(f"Deleted deployment {deployment_id}.", fg="green")
def _normalize_image_name(value: str | None) -> str:
"""Sanitize a deployment/directory name into a valid Docker repository name.
@@ -1357,180 +1059,6 @@ def _normalize_image_tag(value: str) -> str:
return value
@OPT_HOST_API_KEY
@OPT_HOST_DEPLOYMENT_NAME
@click.option(
"--deployment-id",
help="Deployment ID. If omitted, --name is used to find the deployment.",
)
@click.option(
"--type",
"log_type",
type=click.Choice(["deploy", "build"]),
default="deploy",
show_default=True,
help=(
"Log stream to fetch: 'deploy' shows agent server runtime logs; "
"'build' shows build logs (for deployments built remotely)."
),
)
@click.option(
"--revision-id",
help="Specific revision ID. For build logs, defaults to latest revision.",
)
@click.option(
"--level",
type=click.Choice(
["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"], case_sensitive=False
),
help="Filter by log level.",
)
@click.option(
"--limit",
type=int,
default=100,
show_default=True,
help="Max log entries to fetch.",
)
@click.option(
"--query",
"-q",
help="Search string filter.",
)
@click.option(
"--start-time",
help="ISO8601 start time (e.g. 2026-03-08T00:00:00Z).",
)
@click.option(
"--end-time",
help="ISO8601 end time. (e.g. 2026-03-08T00:00:00Z)",
)
@click.option(
"--follow",
"-f",
is_flag=True,
default=False,
help="Continuously poll for new logs.",
)
@OPT_HOST_URL
@deploy.command(
"logs",
help=(
"[Beta] Fetch LangSmith Deployment logs. Use 'deploy' for agent runtime "
"logs, or 'build' for remote build logs."
),
)
@log_command
def deploy_logs(
api_key: str | None,
name: str | None,
deployment_id: str | None,
log_type: str,
revision_id: str | None,
level: str | None,
limit: int,
query: str | None,
start_time: str | None,
end_time: str | None,
follow: bool,
host_url: str,
):
env_vars = _parse_env_from_config({}, pathlib.Path.cwd() / DEFAULT_CONFIG)
client = _create_host_backend_client(host_url, api_key, env_vars=env_vars)
if not deployment_id and not name:
name = env_vars.get(_DEPLOYMENT_NAME_ENV)
dep_id = _call_host_backend_with_optional_tenant(
client, lambda c: resolve_deployment_id(c, deployment_id, name)
)
if log_type == "build" and not revision_id:
revisions_resp = client.list_revisions(dep_id, limit=1)
resources = (
revisions_resp.get("resources", [])
if isinstance(revisions_resp, dict)
else []
)
if not resources:
raise click.ClickException(
"No revisions found for this deployment. Cannot fetch build logs."
)
revision_id = str(resources[0]["id"])
click.secho(f"Using latest revision: {revision_id}", fg="cyan")
payload: dict = {"limit": limit, "order": "desc"}
if level:
payload["level"] = level.upper()
if query:
payload["query"] = query
if start_time:
payload["start_time"] = start_time
if end_time:
payload["end_time"] = end_time
def _fetch(request_payload: dict) -> list[dict]:
if log_type == "build":
resp = client.get_build_logs(dep_id, revision_id, request_payload)
else:
resp = client.get_deploy_logs(dep_id, request_payload, revision_id)
if isinstance(resp, dict):
return resp.get("logs", [])
return []
def _print_entries(entries: list[dict], *, reverse: bool = False) -> None:
iterable = reversed(entries) if reverse else entries
for entry in iterable:
line = format_log_entry(entry)
fg = level_fg(entry.get("level", ""))
click.secho(line, fg=fg)
def _fetch_and_print(request_payload: dict, *, reverse: bool = False) -> list[dict]:
entries = _fetch(request_payload)
_print_entries(entries, reverse=reverse)
return entries
def _fetch_and_print_new(request_payload: dict, seen_ids: set[str]) -> list[dict]:
entries = _fetch(request_payload)
new = [e for e in entries if e.get("id", "") not in seen_ids]
if new:
_print_entries(new)
seen_ids.update(e.get("id", "") for e in new)
return new
# initial log fetch will be newest -> oldest, so we need to reverse
entries = _fetch_and_print(payload, reverse=True)
if not follow:
if not entries:
click.secho("No log entries found.", fg="yellow")
return
payload["order"] = "asc"
seen_ids: set[str] = {e.get("id", "") for e in entries if e.get("id")}
def _update_start_time(ts) -> None:
if ts is None:
return
if isinstance(ts, (int, float)):
dt = datetime.fromtimestamp(ts / 1000, tz=timezone.utc)
payload["start_time"] = dt.isoformat()
else:
payload["start_time"] = str(ts)
if entries:
# entries are in descending order here, so index 0 is the newest log
_update_start_time(entries[0].get("timestamp"))
try:
while True:
time.sleep(2)
new_entries = _fetch_and_print_new(payload, seen_ids)
if new_entries:
_update_start_time(new_entries[-1].get("timestamp"))
except KeyboardInterrupt:
click.echo("\nStopped.")
def _get_docker_ignore_content() -> str:
"""Return the content of a .dockerignore file.
@@ -1608,7 +1136,6 @@ tests
"\n --base-image langchain/langgraph-server:0.2 # Pin to a minor version (Python)",
)
@OPT_API_VERSION
@OPT_ENGINE_RUNTIME_MODE
@log_command
def dockerfile(
save_path: str,
@@ -1616,7 +1143,6 @@ def dockerfile(
add_docker_compose: bool,
base_image: str | None = None,
api_version: str | None = None,
engine_runtime_mode: str = "combined_queue_worker",
) -> None:
save_path = pathlib.Path(save_path).absolute()
secho(f"🔍 Validating configuration at path: {config}", fg="yellow")
@@ -1624,17 +1150,11 @@ def dockerfile(
warn_non_wolfi_distro(config_json)
secho("✅ Configuration validated!", fg="green")
effective_base_image = base_image
if engine_runtime_mode == "distributed" and not base_image:
effective_base_image = langgraph_cli.config.default_base_image(
config_json, engine_runtime_mode=engine_runtime_mode
)
secho(f"📝 Generating Dockerfile at {save_path}", fg="yellow")
dockerfile, additional_contexts = langgraph_cli.config.config_to_docker(
config_path=config,
config=config_json,
base_image=effective_base_image,
base_image=base_image,
api_version=api_version,
)
with open(str(save_path), "w", encoding="utf-8") as f:
@@ -1905,7 +1425,6 @@ def prepare_args_and_stdin(
debugger_base_url: str | None = None,
postgres_uri: str | None = None,
api_version: str | None = None,
engine_runtime_mode: str = "combined_queue_worker",
# Like "my-tag" (if you already built it locally)
image: str | None = None,
# Like "langchain/langgraphjs-api" or "langchain/langgraph-api
@@ -1919,10 +1438,9 @@ def prepare_args_and_stdin(
debugger_port=debugger_port,
debugger_base_url=debugger_base_url,
postgres_uri=postgres_uri,
image=image,
image=image, # Pass image to compose YAML generator
base_image=base_image,
api_version=api_version,
engine_runtime_mode=engine_runtime_mode,
)
args = [
"--project-directory",
@@ -1940,7 +1458,6 @@ def prepare_args_and_stdin(
base_image=langgraph_cli.config.default_base_image(config),
api_version=api_version,
image=image,
engine_runtime_mode=engine_runtime_mode,
)
return args, stdin
@@ -1959,7 +1476,6 @@ def prepare(
debugger_base_url: str | None = None,
postgres_uri: str | None = None,
api_version: str | None = None,
engine_runtime_mode: str = "combined_queue_worker",
image: str | None = None,
base_image: str | None = None,
) -> tuple[list[str], str]:
@@ -1976,20 +1492,6 @@ def prepare(
verbose=verbose,
)
)
if engine_runtime_mode == "distributed":
executor_base = langgraph_cli.config.default_base_image(
config_json, engine_runtime_mode="distributed"
)
runner.run(
subp_exec(
"docker",
"pull",
langgraph_cli.config.docker_tag(
config_json, executor_base, api_version
),
verbose=verbose,
)
)
args, stdin = prepare_args_and_stdin(
capabilities=capabilities,
@@ -2002,7 +1504,6 @@ def prepare(
debugger_base_url=debugger_base_url or f"http://127.0.0.1:{port}",
postgres_uri=postgres_uri,
api_version=api_version,
engine_runtime_mode=engine_runtime_mode,
image=image,
base_image=base_image,
)
+2 -70
View File
@@ -1,4 +1,3 @@
import copy
import json
import os
import pathlib
@@ -1233,15 +1232,11 @@ def node_config_to_docker(
return os.linesep.join(docker_file_contents), {}
def default_base_image(
config: Config, engine_runtime_mode: str = "combined_queue_worker"
) -> str:
def default_base_image(config: Config) -> str:
if config.get("base_image"):
return config["base_image"]
if config.get("node_version") and not config.get("python_version"):
return "langchain/langgraphjs-api"
if engine_runtime_mode == "distributed":
return "langchain/langgraph-executor"
return "langchain/langgraph-api"
@@ -1334,7 +1329,6 @@ def config_to_compose(
api_version: str | None = None,
image: str | None = None,
watch: bool = False,
engine_runtime_mode: str = "combined_queue_worker",
) -> str:
base_image = base_image or default_base_image(config)
@@ -1368,11 +1362,6 @@ def config_to_compose(
"""
else:
# Save a pristine copy before config_to_docker mutates graph paths
config_snapshot = (
copy.deepcopy(config) if engine_runtime_mode == "distributed" else None
)
dockerfile, additional_contexts = config_to_docker(
config_path=config_path,
config=config,
@@ -1390,7 +1379,7 @@ def config_to_compose(
additional_contexts:
{additional_contexts_str}"""
result = f"""
return f"""
{textwrap.indent(env_vars_str, " ")}
{env_file_str}
pull_policy: build
@@ -1400,60 +1389,3 @@ def config_to_compose(
{textwrap.indent(dockerfile, " ")}
{watch_str}
"""
if engine_runtime_mode == "distributed":
executor_base_image = default_base_image(
config_snapshot, engine_runtime_mode="distributed"
)
executor_dockerfile, executor_additional_contexts = config_to_docker(
config_path=config_path,
config=config_snapshot,
base_image=executor_base_image,
api_version=api_version,
escape_variables=True,
)
executor_additional_contexts_str = "\n".join(
f" - {name}: {path}"
for name, path in executor_additional_contexts.items()
)
if executor_additional_contexts_str:
executor_additional_contexts_str = f"""
additional_contexts:
{executor_additional_contexts_str}"""
postgres_uri = "postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable"
result += f""" langgraph-orchestrator:
image: langchain/langgraph-orchestrator-licensed:latest
depends_on:
langgraph-api:
condition: service_healthy
langgraph-postgres:
condition: service_healthy
environment:
DATABASE_URI: {postgres_uri}
EXECUTOR_TARGET: langgraph-executor:8188
{env_file_str}
langgraph-executor:
depends_on:
langgraph-postgres:
condition: service_healthy
langgraph-api:
condition: service_healthy
entrypoint: ["sh", "/storage/executor_entrypoint.sh"]
environment:
DATABASE_URI: {postgres_uri}
REDIS_URI: redis://langgraph-redis:6379
EXECUTOR_GRPC_PORT: "8188"
ENGINE_GRPC_ADDRESS: "langgraph-orchestrator:50054"
LSD_GRPC_SERVER_ADDRESS: "localhost:50050"
LANGGRAPH_HTTP: ""
{env_file_str}
pull_policy: build
build:
context: .{executor_additional_contexts_str}
dockerfile_inline: |
{textwrap.indent(executor_dockerfile, " ")}
"""
return result
+4 -11
View File
@@ -149,7 +149,6 @@ def compose_as_dict(
base_image: str | None = None,
# API version of the base image
api_version: str | None = None,
engine_runtime_mode: str = "combined_queue_worker",
) -> dict:
"""Create a docker compose file as a dictionary in YML style."""
if postgres_uri is None:
@@ -208,19 +207,15 @@ def compose_as_dict(
)["langgraph-debugger"]
# Add langgraph-api service
api_environment = {
"REDIS_URI": "redis://langgraph-redis:6379",
"POSTGRES_URI": postgres_uri,
}
if engine_runtime_mode == "distributed":
api_environment["N_JOBS_PER_WORKER"] = '"0"'
services["langgraph-api"] = {
"ports": [f'"{port}:8000"'],
"depends_on": {
"langgraph-redis": {"condition": "service_healthy"},
},
"environment": api_environment,
"environment": {
"REDIS_URI": "redis://langgraph-redis:6379",
"POSTGRES_URI": postgres_uri,
},
}
if image:
services["langgraph-api"]["image"] = image
@@ -260,7 +255,6 @@ def compose(
image: str | None = None,
base_image: str | None = None,
api_version: str | None = None,
engine_runtime_mode: str = "combined_queue_worker",
) -> str:
"""Create a docker compose file as a string."""
compose_content = compose_as_dict(
@@ -272,7 +266,6 @@ def compose(
image=image,
base_image=base_image,
api_version=api_version,
engine_runtime_mode=engine_runtime_mode,
)
compose_str = dict_to_yaml(compose_content)
return compose_str
-59
View File
@@ -1,59 +0,0 @@
"""Helpers for the ``langgraph logs`` CLI command."""
from __future__ import annotations
from datetime import datetime, timezone
import click
from langgraph_cli.host_backend import HostBackendClient
def resolve_deployment_id(
client: HostBackendClient,
deployment_id: str | None,
name: str | None,
) -> str:
"""Resolve a deployment ID from --deployment-id or --name."""
if deployment_id:
return deployment_id
if not name:
raise click.UsageError("Either --deployment-id or --name is required.")
existing = client.list_deployments(name_contains=name)
if isinstance(existing, dict):
for dep in existing.get("resources", []):
if isinstance(dep, dict) and dep.get("name") == name:
found_id = dep.get("id")
if found_id:
return str(found_id)
raise click.ClickException(f"Deployment '{name}' not found.")
def format_timestamp(ts) -> str:
"""Convert a timestamp (epoch ms or string) to a readable string."""
if isinstance(ts, (int, float)):
dt = datetime.fromtimestamp(ts / 1000, tz=timezone.utc)
return dt.strftime("%Y-%m-%d %H:%M:%S")
return str(ts) if ts else ""
def format_log_entry(entry: dict) -> str:
"""Format a single log entry for display."""
ts = format_timestamp(entry.get("timestamp", ""))
level = entry.get("level", "")
message = entry.get("message", "")
if ts and level:
return f"[{ts}] [{level}] {message}"
elif ts:
return f"[{ts}] {message}"
return message
def level_fg(level: str) -> str | None:
"""Return click color for a log level."""
level_upper = level.upper() if level else ""
if level_upper in {"ERROR", "CRITICAL"}:
return "red"
if level_upper == "WARNING":
return "yellow"
return None
+6 -42
View File
@@ -19,12 +19,7 @@ class HostBackendError(click.ClickException):
class HostBackendClient:
"""Minimal JSON HTTP client for the host backend deployment service."""
def __init__(
self,
base_url: str,
api_key: str,
tenant_id: str | None = None,
):
def __init__(self, base_url: str, api_key: str, tenant_id: str | None = None):
if not base_url:
raise click.UsageError("Host backend URL is required")
transport = httpx.HTTPTransport(retries=3)
@@ -35,6 +30,7 @@ class HostBackendClient:
if tenant_id:
headers["X-Tenant-ID"] = tenant_id
self._base_url = base_url.rstrip("/")
self._api_key = api_key
self._client = httpx.Client(
base_url=self._base_url,
headers=headers,
@@ -43,14 +39,10 @@ class HostBackendClient:
)
def _request(
self,
method: str,
path: str,
payload: dict[str, Any] | None = None,
params: dict[str, Any] | None = None,
self, method: str, path: str, payload: dict[str, Any] | None = None
) -> Any:
try:
resp = self._client.request(method, path, json=payload, params=params)
resp = self._client.request(method, path, json=payload)
resp.raise_for_status()
except httpx.HTTPStatusError as err:
detail = err.response.text or str(err.response.status_code)
@@ -73,19 +65,12 @@ class HostBackendClient:
def create_deployment(self, payload: dict[str, Any]) -> dict[str, Any]:
return self._request("POST", "/v2/deployments", payload)
def list_deployments(self, name_contains: str = "") -> dict[str, Any]:
return self._request(
"GET",
"/v2/deployments",
params={"name_contains": name_contains},
)
def list_deployments(self, name_contains: str) -> dict[str, Any]:
return self._request("GET", f"/v2/deployments?name_contains={name_contains}")
def get_deployment(self, deployment_id: str) -> dict[str, Any]:
return self._request("GET", f"/v2/deployments/{deployment_id}")
def delete_deployment(self, deployment_id: str) -> None:
return self._request("DELETE", f"/v2/deployments/{deployment_id}")
def request_push_token(self, deployment_id: str) -> dict[str, Any]:
return self._request(
"POST",
@@ -120,24 +105,3 @@ class HostBackendClient:
"GET",
f"/v2/deployments/{deployment_id}/revisions/{revision_id}",
)
def get_build_logs(
self, project_id: str, revision_id: str, payload: dict[str, Any]
) -> Any:
return self._request(
"POST",
f"/v1/projects/{project_id}/revisions/{revision_id}/build_logs",
payload,
)
def get_deploy_logs(
self,
project_id: str,
payload: dict[str, Any],
revision_id: str | None = None,
) -> Any:
if revision_id:
path = f"/v1/projects/{project_id}/revisions/{revision_id}/deploy_logs"
else:
path = f"/v1/projects/{project_id}/deploy_logs"
return self._request("POST", path, payload)
+55 -19
View File
@@ -8,20 +8,31 @@ from zipfile import ZipFile
import click
TEMPLATES: dict[str, dict[str, str]] = {
"Deep Agent": {
"description": "An opinionated deployment template for a Deep Agent.",
"python": "https://github.com/langchain-ai/deep-agent-template/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/deep-agent-template-js/archive/refs/heads/main.zip",
},
"Agent": {
"description": "A simple agent that can be flexibly extended to many tools.",
"python": "https://github.com/langchain-ai/simple-agent-template/archive/refs/heads/main.zip",
},
"New LangGraph Project": {
"description": "A simple, minimal chatbot with memory.",
"python": "https://github.com/langchain-ai/new-langgraph-project/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/new-langgraphjs-project/archive/refs/heads/main.zip",
},
"ReAct Agent": {
"description": "A simple agent that can be flexibly extended to many tools.",
"python": "https://github.com/langchain-ai/react-agent/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/react-agent-js/archive/refs/heads/main.zip",
},
"Memory Agent": {
"description": "A ReAct-style agent with an additional tool to store memories for use across conversational threads.",
"python": "https://github.com/langchain-ai/memory-agent/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/memory-agent-js/archive/refs/heads/main.zip",
},
"Retrieval Agent": {
"description": "An agent that includes a retrieval-based question-answering system.",
"python": "https://github.com/langchain-ai/retrieval-agent-template/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/retrieval-agent-template-js/archive/refs/heads/main.zip",
},
"Data-enrichment Agent": {
"description": "An agent that performs web searches and organizes its findings into a structured format.",
"python": "https://github.com/langchain-ai/data-enrichment/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/data-enrichment-js/archive/refs/heads/main.zip",
},
}
# Generate TEMPLATE_IDS programmatically
@@ -67,25 +78,19 @@ def _choose_template() -> str:
click.secho("❌ Invalid choice. Please try again.", fg="red")
return _choose_template()
template_info = TEMPLATES[selected_template]
available_langs = [lang for lang in ("python", "js") if lang in template_info]
# Prompt the user to choose between Python or JS/TS version
click.secho(
f"\nYou selected: {selected_template} - {template_info['description']}",
f"\nYou selected: {selected_template} - {TEMPLATES[selected_template]['description']}",
fg="green",
)
if len(available_langs) == 1:
return template_info[available_langs[0]]
version_choice: int = click.prompt(
"Choose language (1 for Python 🐍, 2 for JS/TS 🌐)", type=int
)
if version_choice == 1:
return template_info["python"]
return TEMPLATES[selected_template]["python"]
elif version_choice == 2:
return template_info["js"]
return TEMPLATES[selected_template]["js"]
else:
click.secho("❌ Invalid choice. Please try again.", fg="red")
return _choose_template()
@@ -125,6 +130,37 @@ def _download_repo_with_requests(repo_url: str, path: str) -> None:
sys.exit(1)
def _get_template_url(template_name: str) -> str | None:
"""
Retrieves the template URL based on the provided template name.
Args:
template_name: The name of the template.
Returns:
Optional[str]: The URL of the template if found, else None.
"""
if template_name in TEMPLATES:
click.secho(f"Template selected: {template_name}", fg="green")
version_choice: int = click.prompt(
"Choose version (1 for Python 🐍, 2 for JS/TS 🌐)", type=int
)
if version_choice == 1:
return TEMPLATES[template_name]["python"]
elif version_choice == 2:
return TEMPLATES[template_name]["js"]
else:
click.secho("❌ Invalid choice. Please try again.", fg="red")
return None
else:
click.secho(
f"Template '{template_name}' not found. Please select from the available options.",
fg="red",
)
return None
def create_new(path: str | None, template: str | None) -> None:
"""Create a new LangGraph project at the specified PATH using the chosen TEMPLATE.
-66
View File
@@ -1,5 +1,3 @@
from collections.abc import Sequence
import click
@@ -25,67 +23,3 @@ def warn_non_wolfi_distro(config_json: dict) -> None:
fg="yellow",
)
click.secho("") # Empty line for better readability
def _extract_deployment_url(deployment: dict[str, object]) -> str:
source_config = deployment.get("source_config")
if isinstance(source_config, dict):
custom_url = source_config.get("custom_url")
if isinstance(custom_url, str) and custom_url:
return custom_url
return "-"
def format_deployments_table(deployments: Sequence[dict[str, object]]) -> str:
headers = ("Deployment ID", "Deployment Name", "Deployment URL")
rows = [
(
str(deployment.get("id", "-") or "-"),
str(deployment.get("name", "-") or "-"),
_extract_deployment_url(deployment),
)
for deployment in deployments
]
widths = [
max(len(headers[index]), *(len(row[index]) for row in rows))
for index in range(len(headers))
]
def format_row(row: Sequence[str]) -> str:
return " ".join(value.ljust(widths[index]) for index, value in enumerate(row))
lines = [format_row(headers), format_row(tuple("-" * width for width in widths))]
lines.extend(format_row(row) for row in rows)
return "\n".join(lines)
def format_revisions_table(revisions: Sequence[dict[str, object]]) -> str:
headers = ("Revision ID", "Status", "Created At")
latest_deployed_seen = False
rows = []
for revision in revisions:
status = str(revision.get("status", "-") or "-")
if status == "DEPLOYED":
if latest_deployed_seen:
status = "REPLACED"
else:
latest_deployed_seen = True
rows.append(
(
str(revision.get("id", "-") or "-"),
status,
str(revision.get("created_at", "-") or "-"),
)
)
widths = [
max(len(headers[index]), *(len(row[index]) for row in rows))
for index in range(len(headers))
]
def format_row(row: Sequence[str]) -> str:
return " ".join(value.ljust(widths[index]) for index, value in enumerate(row))
lines = [format_row(headers), format_row(tuple("-" * width for width in widths))]
lines.extend(format_row(row) for row in rows)
return "\n".join(lines)
-505
View File
@@ -9,7 +9,6 @@ from pathlib import Path
from click.testing import CliRunner
import langgraph_cli.cli as cli_module
from langgraph_cli.cli import cli, prepare_args_and_stdin
from langgraph_cli.config import Config, _get_pip_cleanup_lines, validate_config
from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Version
@@ -288,374 +287,6 @@ def test_version_option() -> None:
)
def test_top_level_help_shows_deploy_subcommands() -> None:
runner = CliRunner()
result = runner.invoke(cli, ["--help"])
assert result.exit_code == 0, result.output
assert "deploy" in result.output
assert "deploy list" in result.output
assert "deploy delete" in result.output
assert "deploy revisions" in result.output
assert "deploy revisions list" in result.output
assert "[Beta] List LangSmith Deployments." in result.output
def test_top_level_help_truncates_command_descriptions_to_single_line() -> None:
runner = CliRunner()
result = runner.invoke(cli, ["--help"])
assert result.exit_code == 0, result.output
lines = result.output.splitlines()
deploy_line = next(line for line in lines if line.strip().startswith("deploy"))
deploy_list_line = next(
line for line in lines if line.strip().startswith("deploy list")
)
assert not lines[lines.index(deploy_line) + 1].startswith(" ")
assert "..." in deploy_line
assert "[Beta] List LangSmith Deployments." in deploy_list_line
def test_deploy_list_command(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
captured["host_url"] = host_url
captured["api_key"] = api_key
captured["tenant_id"] = tenant_id or ""
def list_deployments(self, name_contains: str = ""):
captured["name_contains"] = name_contains
return {
"resources": [
{
"id": "dep-123",
"name": "alpha",
"source_config": {"custom_url": "https://alpha.example.com"},
},
{
"id": "dep-456",
"name": "beta",
"source_config": {"custom_url": "https://beta.example.com"},
},
]
}
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"list",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"--name-contains",
"alp",
],
)
assert result.exit_code == 0, result.output
assert captured == {
"host_url": "https://api.example.com",
"api_key": "test-key",
"tenant_id": "",
"name_contains": "alp",
}
assert "Deployment ID" in result.output
assert "Deployment Name" in result.output
assert "Deployment URL" in result.output
assert "dep-123" in result.output
assert "https://beta.example.com" in result.output
def test_deploy_list_command_no_results(monkeypatch) -> None:
runner = CliRunner()
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
pass
def list_deployments(self, name_contains: str = ""):
return {"resources": []}
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"list",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
],
)
assert result.exit_code == 0, result.output
assert result.output.strip() == "No deployments found."
def test_deploy_revisions_list_command(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
captured["host_url"] = host_url
captured["api_key"] = api_key
captured["tenant_id"] = tenant_id or ""
def list_revisions(self, deployment_id: str, limit: int = 1):
captured["deployment_id"] = deployment_id
captured["limit"] = str(limit)
return {
"resources": [
{
"id": "rev-123",
"status": "CREATING",
"created_at": "2023-11-07T05:31:56Z",
},
{
"id": "rev-456",
"status": "DEPLOYED",
"created_at": "2023-11-08T10:00:00Z",
},
]
}
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"revisions",
"list",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
)
assert result.exit_code == 0, result.output
assert captured == {
"host_url": "https://api.example.com",
"api_key": "test-key",
"tenant_id": "",
"deployment_id": "dep-123",
"limit": "10",
}
assert "Revision ID" in result.output
assert "Status" in result.output
assert "Created At" in result.output
assert "rev-123" in result.output
assert "2023-11-08T10:00:00Z" in result.output
def test_deploy_revisions_list_command_no_results(monkeypatch) -> None:
runner = CliRunner()
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
pass
def list_revisions(self, deployment_id: str, limit: int = 1):
return {"resources": []}
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"revisions",
"list",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
)
assert result.exit_code == 0, result.output
assert result.output.strip() == "No revisions found for deployment dep-123."
def test_deploy_revisions_list_command_with_explicit_limit(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
pass
def list_revisions(self, deployment_id: str, limit: int = 1):
captured["deployment_id"] = deployment_id
captured["limit"] = str(limit)
return {"resources": []}
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"revisions",
"list",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"--limit",
"25",
"dep-123",
],
)
assert result.exit_code == 0, result.output
assert captured == {"deployment_id": "dep-123", "limit": "25"}
assert result.output.strip() == "No revisions found for deployment dep-123."
def test_deploy_revisions_list_missing_deployment_id_shows_usage() -> None:
runner = CliRunner()
result = runner.invoke(cli, ["deploy", "revisions", "list"])
assert result.exit_code == 2, result.output
assert "Missing argument 'DEPLOYMENT_ID'" in result.output
def test_deploy_delete_command(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
captured["host_url"] = host_url
captured["api_key"] = api_key
captured["tenant_id"] = tenant_id or ""
def delete_deployment(self, deployment_id: str):
captured["deployment_id"] = deployment_id
return None
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"delete",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
input="y\n",
)
assert result.exit_code == 0, result.output
assert captured == {
"host_url": "https://api.example.com",
"api_key": "test-key",
"tenant_id": "",
"deployment_id": "dep-123",
}
assert (
"Are you sure you want to delete deployment ID dep-123? (Y/n):" in result.output
)
assert result.output.strip().endswith("Deleted deployment dep-123.")
def test_deploy_delete_command_cancelled(monkeypatch) -> None:
runner = CliRunner()
deleted = False
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
pass
def delete_deployment(self, deployment_id: str):
nonlocal deleted
deleted = True
return None
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"delete",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
input="n\n",
)
assert result.exit_code == 1, result.output
assert not deleted
assert "Aborted!" in result.output
def test_deploy_delete_command_force(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
captured["host_url"] = host_url
captured["api_key"] = api_key
captured["tenant_id"] = tenant_id or ""
def delete_deployment(self, deployment_id: str):
captured["deployment_id"] = deployment_id
return None
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"delete",
"--force",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
)
assert result.exit_code == 0, result.output
assert "Are you sure you want to delete deployment ID dep-123?" not in result.output
assert captured == {
"host_url": "https://api.example.com",
"api_key": "test-key",
"tenant_id": "",
"deployment_id": "dep-123",
}
assert result.output.strip() == "Deleted deployment dep-123."
def test_dockerfile_command_basic() -> None:
"""Test the 'dockerfile' command with basic configuration."""
runner = CliRunner()
@@ -1191,139 +822,3 @@ def test_prepare_args_and_stdin_with_api_version_and_image() -> None:
# When image is provided, api_version should be ignored for the image
# but the stdin should not contain a build section (since image is provided)
assert "pull_policy: build" not in actual_stdin
def test_dockerfile_command_distributed_mode() -> None:
"""Test the 'dockerfile' command with --engine-runtime-mode distributed."""
runner = CliRunner()
config_content = {
"python_version": "3.11",
"graphs": {"agent": "agent.py:graph"},
"dependencies": ["."],
}
with temporary_config_folder(config_content) as temp_dir:
save_path = temp_dir / "Dockerfile"
agent_path = temp_dir / "agent.py"
agent_path.touch()
result = runner.invoke(
cli,
[
"dockerfile",
str(save_path),
"--config",
str(temp_dir / "config.json"),
"--engine-runtime-mode",
"distributed",
],
)
assert result.exit_code == 0, result.output
assert "✅ Created: Dockerfile" in result.output
assert save_path.exists()
with open(save_path) as f:
dockerfile = f.read()
assert "FROM langchain/langgraph-executor:3.11" in dockerfile
def test_dockerfile_command_combined_mode() -> None:
"""Test the 'dockerfile' command with --engine-runtime-mode combined_queue_worker."""
runner = CliRunner()
config_content = {
"python_version": "3.11",
"graphs": {"agent": "agent.py:graph"},
"dependencies": ["."],
}
with temporary_config_folder(config_content) as temp_dir:
save_path = temp_dir / "Dockerfile"
agent_path = temp_dir / "agent.py"
agent_path.touch()
result = runner.invoke(
cli,
[
"dockerfile",
str(save_path),
"--config",
str(temp_dir / "config.json"),
"--engine-runtime-mode",
"combined_queue_worker",
],
)
assert result.exit_code == 0, result.output
assert save_path.exists()
with open(save_path) as f:
dockerfile = f.read()
assert "FROM langchain/langgraph-api:3.11" in dockerfile
def test_dockerfile_command_distributed_with_explicit_base_image() -> None:
"""Test distributed mode with explicit --base-image overrides executor default."""
runner = CliRunner()
config_content = {
"python_version": "3.11",
"graphs": {"agent": "agent.py:graph"},
"dependencies": ["."],
}
with temporary_config_folder(config_content) as temp_dir:
save_path = temp_dir / "Dockerfile"
agent_path = temp_dir / "agent.py"
agent_path.touch()
result = runner.invoke(
cli,
[
"dockerfile",
str(save_path),
"--config",
str(temp_dir / "config.json"),
"--engine-runtime-mode",
"distributed",
"--base-image",
"my-custom-executor:latest",
],
)
assert result.exit_code == 0, result.output
assert save_path.exists()
with open(save_path) as f:
dockerfile = f.read()
assert "FROM my-custom-executor:latest" in dockerfile
def test_prepare_args_and_stdin_distributed_mode() -> None:
"""Test prepare_args_and_stdin with distributed mode includes all services."""
config_path = pathlib.Path(__file__).parent / "langgraph.json"
config = validate_config(
Config(dependencies=["."], graphs={"agent": "agent.py:graph"})
)
port = 8000
actual_args, actual_stdin = prepare_args_and_stdin(
capabilities=DEFAULT_DOCKER_CAPABILITIES,
config_path=config_path,
config=config,
docker_compose=None,
port=port,
watch=False,
engine_runtime_mode="distributed",
)
# API service should use langgraph-api base image
assert "FROM langchain/langgraph-api:" in actual_stdin
# Distributed mode sets N_JOBS_PER_WORKER=0 on the API service
assert 'N_JOBS_PER_WORKER: "0"' in actual_stdin
# Orchestrator service present
assert "langgraph-orchestrator:" in actual_stdin
# Executor service present with correct base image
assert "langgraph-executor:" in actual_stdin
assert "FROM langchain/langgraph-executor:" in actual_stdin
assert "executor_entrypoint.sh" in actual_stdin
-191
View File
@@ -13,7 +13,6 @@ from langgraph_cli.config import (
_get_pip_cleanup_lines,
config_to_compose,
config_to_docker,
default_base_image,
docker_tag,
has_disallowed_build_command_content,
validate_config,
@@ -1696,196 +1695,6 @@ def test_config_to_compose_with_api_version():
assert "FROM langchain/langgraphjs-api:0.2.74-node20" in actual_compose_str
def test_default_base_image_combined_mode():
"""Test default_base_image returns langgraph-api for combined_queue_worker mode."""
config = validate_config(
{
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
}
)
assert default_base_image(config) == "langchain/langgraph-api"
assert (
default_base_image(config, engine_runtime_mode="combined_queue_worker")
== "langchain/langgraph-api"
)
def test_default_base_image_distributed_mode():
"""Test default_base_image returns langgraph-executor for distributed mode."""
config = validate_config(
{
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
}
)
assert (
default_base_image(config, engine_runtime_mode="distributed")
== "langchain/langgraph-executor"
)
def test_default_base_image_distributed_with_explicit_base():
"""Test default_base_image returns explicit base_image even in distributed mode."""
config = validate_config(
{
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"base_image": "my-custom-image:latest",
}
)
assert (
default_base_image(config, engine_runtime_mode="distributed")
== "my-custom-image:latest"
)
def test_default_base_image_nodejs():
"""Test default_base_image returns langgraphjs-api for Node.js config."""
config = validate_config(
{
"node_version": "20",
"graphs": {"agent": "./agent.js:graph"},
}
)
assert default_base_image(config) == "langchain/langgraphjs-api"
def test_config_to_docker_executor_base_image():
"""Test config_to_docker with executor base image for distributed mode."""
graphs = {"agent": "./agent.py:graph"}
config = validate_config({"dependencies": ["."], "graphs": graphs})
actual_docker_stdin, _ = config_to_docker(
PATH_TO_CONFIG,
config,
base_image="langchain/langgraph-executor",
)
assert "FROM langchain/langgraph-executor:3.11" in actual_docker_stdin
assert "LANGSERVE_GRAPHS=" in actual_docker_stdin
def test_config_to_compose_distributed_mode():
"""Test config_to_compose with engine_runtime_mode='distributed'."""
graphs = {"agent": "./agent.py:graph"}
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
validate_config({"dependencies": ["."], "graphs": graphs}),
"langchain/langgraph-api",
engine_runtime_mode="distributed",
)
# API service uses langchain/langgraph-api base image
assert "FROM langchain/langgraph-api:3.11" in actual_compose_stdin
# Orchestrator service is present
assert "langgraph-orchestrator:" in actual_compose_stdin
assert "EXECUTOR_TARGET: langgraph-executor:8188" in actual_compose_stdin
# Executor service is present with correct base image
assert "langgraph-executor:" in actual_compose_stdin
assert "FROM langchain/langgraph-executor:3.11" in actual_compose_stdin
assert (
'entrypoint: ["sh", "/storage/executor_entrypoint.sh"]' in actual_compose_stdin
)
# Executor has required environment variables
assert "EXECUTOR_GRPC_PORT:" in actual_compose_stdin
assert "ENGINE_GRPC_ADDRESS:" in actual_compose_stdin
assert "LSD_GRPC_SERVER_ADDRESS:" in actual_compose_stdin
assert 'LANGGRAPH_HTTP: ""' in actual_compose_stdin
assert "REDIS_URI: redis://langgraph-redis:6379" in actual_compose_stdin
def test_config_to_compose_distributed_mode_with_env_file():
"""Test config_to_compose distributed mode propagates env_file to all services."""
graphs = {"agent": "./agent.py:graph"}
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
validate_config({"dependencies": ["."], "graphs": graphs, "env": ".env"}),
"langchain/langgraph-api",
engine_runtime_mode="distributed",
)
# env_file should appear multiple times: API, orchestrator, executor
env_file_count = actual_compose_stdin.count("env_file: .env")
assert env_file_count == 3, (
f"Expected env_file to appear 3 times (api, orchestrator, executor), "
f"got {env_file_count}"
)
def test_config_to_compose_distributed_mode_generates_two_dockerfiles():
"""Test that distributed mode generates separate Dockerfiles for API and executor."""
graphs = {"agent": "./agent.py:graph"}
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
validate_config({"dependencies": ["."], "graphs": graphs}),
"langchain/langgraph-api",
engine_runtime_mode="distributed",
)
# Should contain two different FROM lines
from_lines = [
line.strip()
for line in actual_compose_stdin.splitlines()
if line.strip().startswith("FROM ")
]
assert len(from_lines) == 2
assert "FROM langchain/langgraph-api:3.11" in from_lines[0]
assert "FROM langchain/langgraph-executor:3.11" in from_lines[1]
def test_config_to_compose_combined_mode_no_orchestrator():
"""Test that combined_queue_worker mode does NOT generate orchestrator/executor."""
graphs = {"agent": "./agent.py:graph"}
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
validate_config({"dependencies": ["."], "graphs": graphs}),
"langchain/langgraph-api",
engine_runtime_mode="combined_queue_worker",
)
assert "langgraph-orchestrator:" not in actual_compose_stdin
assert "langgraph-executor:" not in actual_compose_stdin
def test_config_to_compose_default_mode_no_orchestrator():
"""Test that default mode (no engine_runtime_mode) has no orchestrator/executor."""
graphs = {"agent": "./agent.py:graph"}
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
validate_config({"dependencies": ["."], "graphs": graphs}),
"langchain/langgraph-api",
)
assert "langgraph-orchestrator:" not in actual_compose_stdin
assert "langgraph-executor:" not in actual_compose_stdin
def test_config_to_compose_distributed_executor_gets_correct_paths():
"""Test that executor Dockerfile gets correct host paths despite API Dockerfile
mutation. This validates the deep copy fix in config_to_compose -- without it,
the executor's config_to_docker call would see already-mutated container paths
from the API's config_to_docker call, causing FileNotFoundError."""
graphs = {"agent": "./agent.py:graph"}
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
validate_config({"dependencies": ["."], "graphs": graphs}),
"langchain/langgraph-api",
engine_runtime_mode="distributed",
)
# Both API and executor Dockerfiles should contain valid LANGSERVE_GRAPHS
# referencing container paths (not host paths). If the deep copy was missing,
# the executor Dockerfile would fail to generate or have wrong paths.
from_lines = [
line.strip()
for line in actual_compose_stdin.splitlines()
if "LANGSERVE_GRAPHS=" in line.strip()
]
assert len(from_lines) == 2, (
f"Expected 2 LANGSERVE_GRAPHS lines (api + executor), got {len(from_lines)}"
)
class TestHasDisallowedBuildCommandContent:
"""Tests for has_disallowed_build_command_content."""
@@ -3,17 +3,14 @@ import json
import os
import click
import httpx
import pytest
from langgraph_cli.cli import (
_call_host_backend_with_optional_tenant,
_docker_config_for_token,
_normalize_image_name,
_normalize_image_tag,
_parse_env_from_config,
)
from langgraph_cli.host_backend import HostBackendClient, HostBackendError
class TestDockerConfigForToken:
@@ -135,92 +132,3 @@ class TestParseEnvFromConfig:
assert result["GOOD"] == "value"
# EMPTY= gives empty string, not None, so it should be present
assert result["EMPTY"] == ""
class TestCallHostBackendWithOptionalTenant:
def _make_client(self, handler):
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
return c
def _make_eu_client(self, handler):
c = HostBackendClient("https://eu.api.host.langchain.com", "test-key")
c._client = httpx.Client(
base_url="https://eu.api.host.langchain.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
return c
def test_success_passes_through(self):
client = self._make_client(lambda req: httpx.Response(200, json={"ok": True}))
result = _call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
assert result == {"ok": True}
def test_403_not_enabled_gives_actionable_error(self):
detail = (
'{"detail":"LangSmith Deployment is not enabled for this organization"}'
)
client = self._make_client(lambda req: httpx.Response(403, text=detail))
with pytest.raises(HostBackendError, match="not enabled") as exc_info:
_call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
assert exc_info.value.status_code == 403
assert "smith.langchain.com" in exc_info.value.message
def test_403_not_enabled_eu_url(self):
detail = (
'{"detail":"LangSmith Deployment is not enabled for this organization"}'
)
client = self._make_eu_client(lambda req: httpx.Response(403, text=detail))
with pytest.raises(HostBackendError, match="not enabled") as exc_info:
_call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
assert "eu.smith.langchain.com" in exc_info.value.message
def test_workspace_retry_then_not_enabled_gives_actionable_error(self, monkeypatch):
requires_workspace = '{"detail":"requires workspace specification"}'
not_enabled = (
'{"detail":"LangSmith Deployment is not enabled for this organization"}'
)
seen_tenant_ids = []
def handler(req):
seen_tenant_ids.append(req.headers.get("X-Tenant-ID"))
if len(seen_tenant_ids) == 1:
return httpx.Response(403, text=requires_workspace)
if len(seen_tenant_ids) == 2:
return httpx.Response(403, text=not_enabled)
raise AssertionError("unexpected extra request")
monkeypatch.setattr(click, "prompt", lambda _text: "workspace-123")
client = self._make_client(handler)
with pytest.raises(HostBackendError, match="not enabled") as exc_info:
_call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
assert exc_info.value.status_code == 403
assert "smith.langchain.com" in exc_info.value.message
assert seen_tenant_ids == [None, "workspace-123"]
assert client._client.headers["X-Tenant-ID"] == "workspace-123"
def test_other_403_re_raises_original(self):
client = self._make_client(
lambda req: httpx.Response(403, text='{"detail":"some other error"}')
)
with pytest.raises(HostBackendError, match="some other error"):
_call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
-55
View File
@@ -368,61 +368,6 @@ services:
assert clean_empty_lines(actual_compose_str) == expected_compose_str
def test_compose_distributed_mode_with_custom_db():
"""Test compose with engine_runtime_mode='distributed' adds N_JOBS_PER_WORKER=0."""
port = 8123
custom_postgres_uri = "custom_postgres_uri"
actual_compose_str = compose(
DEFAULT_DOCKER_CAPABILITIES,
port=port,
postgres_uri=custom_postgres_uri,
engine_runtime_mode="distributed",
)
expected_compose_str = f"""services:
langgraph-redis:
image: redis:6
healthcheck:
test: redis-cli ping
interval: 5s
timeout: 1s
retries: 5
langgraph-api:
ports:
- "{port}:8000"
depends_on:
langgraph-redis:
condition: service_healthy
environment:
REDIS_URI: redis://langgraph-redis:6379
POSTGRES_URI: {custom_postgres_uri}
N_JOBS_PER_WORKER: "0\""""
assert clean_empty_lines(actual_compose_str) == expected_compose_str
def test_compose_distributed_mode_with_default_db():
"""Test compose distributed mode with default DB includes N_JOBS_PER_WORKER=0."""
port = 8123
actual_compose_str = compose(
DEFAULT_DOCKER_CAPABILITIES,
port=port,
engine_runtime_mode="distributed",
)
assert 'N_JOBS_PER_WORKER: "0"' in actual_compose_str
assert "langgraph-postgres:" in actual_compose_str
assert "langgraph-redis:" in actual_compose_str
def test_compose_combined_mode_has_no_n_jobs():
"""Test compose with default combined_queue_worker mode does NOT set N_JOBS_PER_WORKER."""
port = 8123
actual_compose_str = compose(
DEFAULT_DOCKER_CAPABILITIES,
port=port,
engine_runtime_mode="combined_queue_worker",
)
assert "N_JOBS_PER_WORKER" not in actual_compose_str
@pytest.mark.parametrize(
"input_str,expected",
[
@@ -135,28 +135,6 @@ def test_list_deployments(client):
assert result == {"ok": True}
def test_list_deployments_sends_query_params():
def handler(req: httpx.Request) -> httpx.Response:
assert req.url.path == "/v2/deployments"
assert req.url.params["name_contains"] == "my app"
return httpx.Response(200, json={"ok": True})
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
result = c.list_deployments("my app")
assert result == {"ok": True}
def test_delete_deployment(client):
result = client.delete_deployment("dep-123")
assert result == {"ok": True}
def test_request_push_token(client):
result = client.request_push_token("dep-123")
assert result == {"ok": True}
@@ -182,41 +160,3 @@ def test_list_revisions(client):
def test_get_revision(client):
result = client.get_revision("dep-123", "rev-456")
assert result == {"ok": True}
def test_get_build_logs(client):
result = client.get_build_logs("proj-1", "rev-1", {"limit": 10})
assert result == {"ok": True}
def test_get_deploy_logs_all_revisions():
def handler(req: httpx.Request) -> httpx.Response:
assert "/v1/projects/proj-1/deploy_logs" in str(req.url)
assert "/revisions/" not in str(req.url)
return httpx.Response(200, json={"logs": [{"message": "running"}]})
c = HostBackendClient("https://api.example.com", "key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "key", "Accept": "application/json"},
timeout=30,
)
result = c.get_deploy_logs("proj-1", {"limit": 10})
assert result == {"logs": [{"message": "running"}]}
def test_get_deploy_logs_specific_revision():
def handler(req: httpx.Request) -> httpx.Response:
assert "/v1/projects/proj-1/revisions/rev-2/deploy_logs" in str(req.url)
return httpx.Response(200, json={"logs": []})
c = HostBackendClient("https://api.example.com", "key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "key", "Accept": "application/json"},
timeout=30,
)
result = c.get_deploy_logs("proj-1", {"limit": 10}, revision_id="rev-2")
assert result == {"logs": []}
@@ -1,58 +0,0 @@
from langgraph_cli.helpers import format_log_entry, format_timestamp, level_fg
class TestFormatTimestamp:
def test_epoch_ms(self):
assert format_timestamp(1773119644012) == "2026-03-10 05:14:04"
def test_string_passthrough(self):
assert format_timestamp("2026-03-08T00:00:00Z") == "2026-03-08T00:00:00Z"
def test_empty(self):
assert format_timestamp("") == ""
def test_none(self):
assert format_timestamp(None) == ""
class TestFormatLogEntry:
def test_full_entry_epoch(self):
entry = {"timestamp": 1773119644012, "level": "ERROR", "message": "boom"}
result = format_log_entry(entry)
assert result == "[2026-03-10 05:14:04] [ERROR] boom"
def test_full_entry_string(self):
entry = {
"timestamp": "2026-03-08T12:00:00Z",
"level": "ERROR",
"message": "boom",
}
assert format_log_entry(entry) == "[2026-03-08T12:00:00Z] [ERROR] boom"
def test_no_level(self):
entry = {"timestamp": "2026-03-08T12:00:00Z", "message": "hello"}
assert format_log_entry(entry) == "[2026-03-08T12:00:00Z] hello"
def test_no_timestamp(self):
entry = {"message": "bare message"}
assert format_log_entry(entry) == "bare message"
def test_empty_entry(self):
assert format_log_entry({}) == ""
class TestLevelFg:
def test_error(self):
assert level_fg("ERROR") == "red"
def test_error_lowercase(self):
assert level_fg("error") == "red"
def test_warning(self):
assert level_fg("WARNING") == "yellow"
def test_info_returns_none(self):
assert level_fg("INFO") is None
def test_empty_returns_none(self):
assert level_fg("") is None
+1 -71
View File
@@ -1,12 +1,6 @@
from unittest.mock import patch
from langgraph_cli.util import (
_extract_deployment_url,
clean_empty_lines,
format_deployments_table,
format_revisions_table,
warn_non_wolfi_distro,
)
from langgraph_cli.util import clean_empty_lines, warn_non_wolfi_distro
def test_clean_empty_lines():
@@ -192,67 +186,3 @@ def test_warn_non_wolfi_distro_does_not_modify_config():
warn_non_wolfi_distro(config_copy)
assert config_copy == original_config # Config should remain unchanged
def test_extract_deployment_url_uses_custom_url():
deployment = {"source_config": {"custom_url": "https://example.com/custom"}}
assert _extract_deployment_url(deployment) == "https://example.com/custom"
def test_extract_deployment_url_defaults_to_dash():
assert _extract_deployment_url({"id": "dep-123"}) == "-"
def test_format_deployments_table():
output = format_deployments_table(
[
{
"id": "dep-123",
"name": "alpha",
"source_config": {"custom_url": "https://alpha.example.com"},
},
{
"id": "dep-456",
"name": "beta",
"url": "https://beta.example.com",
},
]
)
assert "Deployment ID" in output
assert "Deployment Name" in output
assert "Deployment URL" in output
assert "dep-123" in output
assert "alpha" in output
assert "https://alpha.example.com" in output
assert "dep-456" in output
def test_format_revisions_table():
output = format_revisions_table(
[
{
"id": "rev-123",
"status": "DEPLOYED",
"created_at": "2023-11-09T10:00:00Z",
},
{
"id": "rev-456",
"status": "CREATING",
"created_at": "2023-11-07T05:31:56Z",
},
{
"id": "rev-789",
"status": "DEPLOYED",
"created_at": "2023-11-08T10:00:00Z",
},
]
)
assert "Revision ID" in output
assert "Status" in output
assert "Created At" in output
assert "rev-123" in output
assert "CREATING" in output
assert "2023-11-07T05:31:56Z" in output
assert "rev-456" in output
assert "rev-789" in output
assert "REPLACED" in output
+26 -25
View File
@@ -992,6 +992,7 @@ dependencies = [
inmem = [
{ name = "langgraph-api", marker = "python_full_version >= '3.11'" },
{ name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11'" },
{ name = "python-dotenv" },
]
[package.dev-dependencies]
@@ -1088,15 +1089,15 @@ wheels = [
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name = "langgraph-sdk"
version = "0.3.12"
version = "0.3.9"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx", marker = "python_full_version >= '3.11'" },
{ name = "orjson", marker = "python_full_version >= '3.11'" },
]
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[[package]]
+19 -38
View File
@@ -647,24 +647,13 @@ class PregelLoop:
# writes so that interrupt() calls re-fire instead of returning
# stale values. But if we're actively resuming, keep them —
# multi-interrupt scenarios need previously resolved values preserved.
if self.is_replaying and (
# Time-travel to a subgraph checkpoint: the parent sets
# RESUMING=True (it can't distinguish time-travel from resume),
# so we check if this subgraph's own ns is in checkpoint_map.
# Normally the map only has ancestor entries (_algo.py); the
# subgraph's own entry only appears via get_state(subgraphs=True).
(
self.is_nested
and configurable.get(CONFIG_KEY_CHECKPOINT_NS, "")
in configurable.get(CONFIG_KEY_CHECKPOINT_MAP, {})
)
or not (
# Outer graph: resume arrives as Command(resume=...)
(input_is_command and cast(Command, self.input).resume is not None)
# Subgraphs: resume arrives via config flag from parent
# (subgraph input is a Send arg, not a Command)
or configurable.get(CONFIG_KEY_RESUMING, False)
)
# We check two conditions because resume signals arrive differently:
# - Command(resume=...): the outer graph receives resume via input
# - CONFIG_KEY_RESUMING: child subgraphs receive it via config from
# the parent (their input is a Send arg, not a Command)
if self.is_replaying and not (
(input_is_command and cast(Command, self.input).resume is not None)
or configurable.get(CONFIG_KEY_RESUMING, False)
):
self.checkpoint_pending_writes = [
w for w in self.checkpoint_pending_writes if w[1] != RESUME
@@ -1138,15 +1127,9 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
def __enter__(self) -> Self:
if not self.checkpointer:
saved = None
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
# Explicit checkpoint_id requested — fetch that exact checkpoint.
# This covers both normal replay and subgraphs resolved via
# checkpoint_map during time-travel.
saved = self.checkpointer.get_tuple(self.checkpoint_config)
elif replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE):
# Subgraph replay: the parent is replaying and passed us a
# replay_state with its checkpoint_id. Look up our checkpoint
# from the parent's checkpoint_map instead of fetching latest.
elif self.is_nested and (
replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE)
):
saved = replay_state.get_checkpoint(
self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
self.checkpointer,
@@ -1158,7 +1141,9 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
else:
# Normal case: fetch the most recent checkpoint for this
# graph/thread. Returns None on first invocation.
# graph/thread. If a specific checkpoint_id is in the config,
# fetch that exact checkpoint; otherwise fetch the latest one.
# Returns None on first invocation (no checkpoints exist yet).
saved = self.checkpointer.get_tuple(self.checkpoint_config)
if saved is None:
@@ -1337,15 +1322,9 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
async def __aenter__(self) -> Self:
if not self.checkpointer:
saved = None
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
# Explicit checkpoint_id requested — fetch that exact checkpoint.
# This covers both normal replay and subgraphs resolved via
# checkpoint_map during time-travel.
saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
elif replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE):
# Subgraph replay: the parent is replaying and passed us a
# replay_state with its checkpoint_id. Look up our checkpoint
# from the parent's checkpoint_map instead of fetching latest.
elif self.is_nested and (
replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE)
):
saved = await replay_state.aget_checkpoint(
self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
self.checkpointer,
@@ -1357,7 +1336,9 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
else:
# Normal case: fetch the most recent checkpoint for this
# graph/thread. Returns None on first invocation.
# graph/thread. If a specific checkpoint_id is in the config,
# fetch that exact checkpoint; otherwise fetch the latest one.
# Returns None on first invocation (no checkpoints exist yet).
saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
if saved is None:
+2 -51
View File
@@ -14,11 +14,9 @@ from langgraph._internal._constants import (
CONF,
CONFIG_KEY_CHECKPOINT_NS,
CONFIG_KEY_RESUMING,
CONFIG_KEY_RUNTIME,
NS_SEP,
)
from langgraph.errors import GraphBubbleUp, ParentCommand
from langgraph.runtime import Runtime
from langgraph.types import Command, PregelExecutableTask, RetryPolicy
logger = logging.getLogger(__name__)
@@ -62,33 +60,10 @@ def run_with_retry(
"""Run a task with retries."""
retry_policy = task.retry_policy or retry_policy
attempts = 0
node_first_attempt_time = time.time()
config = task.config
if configurable is not None:
config = patch_configurable(config, configurable)
runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
if isinstance(runtime, Runtime):
config = patch_configurable(
config,
{
CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
node_first_attempt_time=node_first_attempt_time,
)
},
)
while True:
runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
if isinstance(runtime, Runtime):
config = patch_configurable(
config,
{
CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
# node_attempt is execution count (1-indexed): 1 on first run,
# then 2, 3, ... on subsequent retries.
node_attempt=attempts + 1,
)
},
)
try:
# clear any writes from previous attempts
task.writes.clear()
@@ -127,7 +102,7 @@ def run_with_retry(
if not matching_policy:
raise
# attempts tracks failed tries only; it increments after a failure.
# increment attempts
attempts += 1
# check if we should give up
if attempts >= matching_policy.max_attempts:
@@ -166,38 +141,15 @@ async def arun_with_retry(
"""Run a task asynchronously with retries."""
retry_policy = task.retry_policy or retry_policy
attempts = 0
node_first_attempt_time = time.time()
config = task.config
if configurable is not None:
config = patch_configurable(config, configurable)
runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
if isinstance(runtime, Runtime):
config = patch_configurable(
config,
{
CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
node_first_attempt_time=node_first_attempt_time,
)
},
)
if match_cached_writes is not None and task.cache_key is not None:
for t in await match_cached_writes():
if t is task:
# if the task is already cached, return
return
while True:
runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
if isinstance(runtime, Runtime):
config = patch_configurable(
config,
{
CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
# node_attempt is execution count (1-indexed): 1 on first run,
# then 2, 3, ... on subsequent retries.
node_attempt=attempts + 1,
)
},
)
try:
# clear any writes from previous attempts
task.writes.clear()
@@ -242,8 +194,7 @@ async def arun_with_retry(
if not matching_policy:
raise
# attempts tracks failed tries only; it increments after a failure.
# The next execution's node_attempt is derived as attempts + 1.
# increment attempts
attempts += 1
# check if we should give up
if attempts >= matching_policy.max_attempts:
+5 -7
View File
@@ -136,7 +136,7 @@ from langgraph.pregel._validate import validate_graph, validate_keys
from langgraph.pregel._write import ChannelWrite, ChannelWriteEntry
from langgraph.pregel.debug import get_bolded_text, get_colored_text, tasks_w_writes
from langgraph.pregel.protocol import PregelProtocol, StreamChunk, StreamProtocol
from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
from langgraph.runtime import DEFAULT_RUNTIME, Runtime
from langgraph.types import (
All,
CachePolicy,
@@ -2456,7 +2456,7 @@ class Pregel(
debug: bool | None = None,
version: Literal["v2"],
**kwargs: Unpack[DeprecatedKwargs],
) -> Iterator[StreamPart[StateT, OutputT]]: ...
) -> Iterator[StreamPart[OutputT, StateT]]: ...
@overload
def stream(
@@ -2648,7 +2648,6 @@ class Pregel(
store=store,
stream_writer=stream_writer,
previous=None,
execution_info=ExecutionInfo(),
)
parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
runtime = parent_runtime.merge(runtime)
@@ -2788,7 +2787,7 @@ class Pregel(
debug: bool | None = None,
version: Literal["v2"],
**kwargs: Unpack[DeprecatedKwargs],
) -> AsyncIterator[StreamPart[StateT, OutputT]]: ...
) -> AsyncIterator[StreamPart[OutputT, StateT]]: ...
@overload
def astream(
@@ -3015,7 +3014,6 @@ class Pregel(
store=store,
stream_writer=stream_writer,
previous=None,
execution_info=ExecutionInfo(),
)
parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
runtime = parent_runtime.merge(runtime)
@@ -3196,7 +3194,7 @@ class Pregel(
durability: Durability | None = None,
version: Literal["v2"],
**kwargs: Any,
) -> list[StreamPart[StateT, OutputT]]: ...
) -> list[StreamPart[OutputT, StateT]]: ...
@overload
def invoke(
@@ -3366,7 +3364,7 @@ class Pregel(
durability: Durability | None = None,
version: Literal["v2"],
**kwargs: Any,
) -> list[StreamPart[StateT, OutputT]]: ...
) -> list[StreamPart[OutputT, StateT]]: ...
@overload
async def ainvoke(
+2 -2
View File
@@ -117,7 +117,7 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
version: Literal["v2"],
) -> Iterator[StreamPart[StateT, OutputT]]: ...
) -> Iterator[StreamPart[OutputT, StateT]]: ...
@overload
@abstractmethod
@@ -161,7 +161,7 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
version: Literal["v2"],
) -> AsyncIterator[StreamPart[StateT, OutputT]]: ...
) -> AsyncIterator[StreamPart[OutputT, StateT]]: ...
@overload
@abstractmethod
+2 -19
View File
@@ -31,7 +31,6 @@ from langgraph_sdk.client import (
)
from langgraph_sdk.schema import (
Checkpoint,
Context,
QueryParamTypes,
ThreadState,
)
@@ -692,7 +691,6 @@ class RemoteGraph(PregelProtocol):
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
@@ -709,7 +707,6 @@ class RemoteGraph(PregelProtocol):
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
@@ -725,7 +722,6 @@ class RemoteGraph(PregelProtocol):
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
@@ -738,7 +734,7 @@ class RemoteGraph(PregelProtocol):
"""Create a run and stream the results.
This method calls `POST /threads/{thread_id}/runs/stream` if a `thread_id`
is specified in the `configurable` field of the config or
is speciffed in the `configurable` field of the config or
`POST /runs/stream` otherwise.
Args:
@@ -773,7 +769,6 @@ class RemoteGraph(PregelProtocol):
input=input,
command=command,
config=sanitized_config,
context=context,
stream_mode=stream_modes,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
@@ -847,7 +842,6 @@ class RemoteGraph(PregelProtocol):
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
@@ -864,7 +858,6 @@ class RemoteGraph(PregelProtocol):
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
@@ -880,7 +873,6 @@ class RemoteGraph(PregelProtocol):
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
@@ -893,7 +885,7 @@ class RemoteGraph(PregelProtocol):
"""Create a run and stream the results.
This method calls `POST /threads/{thread_id}/runs/stream` if a `thread_id`
is specified in the `configurable` field of the config or
is speciffed in the `configurable` field of the config or
`POST /runs/stream` otherwise.
Args:
@@ -928,7 +920,6 @@ class RemoteGraph(PregelProtocol):
input=input,
command=command,
config=sanitized_config,
context=context,
stream_mode=stream_modes,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
@@ -1018,7 +1009,6 @@ class RemoteGraph(PregelProtocol):
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
@@ -1033,7 +1023,6 @@ class RemoteGraph(PregelProtocol):
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
@@ -1047,7 +1036,6 @@ class RemoteGraph(PregelProtocol):
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
@@ -1073,7 +1061,6 @@ class RemoteGraph(PregelProtocol):
for chunk in self.stream( # type: ignore[misc, call-overload]
input,
config=config,
context=context,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
headers=headers,
@@ -1100,7 +1087,6 @@ class RemoteGraph(PregelProtocol):
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
@@ -1115,7 +1101,6 @@ class RemoteGraph(PregelProtocol):
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
@@ -1129,7 +1114,6 @@ class RemoteGraph(PregelProtocol):
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
@@ -1155,7 +1139,6 @@ class RemoteGraph(PregelProtocol):
async for chunk in self.astream( # type: ignore[misc, call-overload]
input,
config=config,
context=context,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
headers=headers,
+3 -30
View File
@@ -1,7 +1,7 @@
from __future__ import annotations
from dataclasses import dataclass, field, replace
from typing import Any, Generic, NamedTuple, cast
from typing import Any, Generic, cast
from langgraph.store.base import BaseStore
from typing_extensions import TypedDict, Unpack
@@ -11,21 +11,7 @@ from langgraph.config import get_config
from langgraph.types import _DC_KWARGS, StreamWriter
from langgraph.typing import ContextT
__all__ = ("ExecutionInfo", "Runtime", "get_runtime")
class ExecutionInfo(NamedTuple):
"""Read-only execution info/metadata for the execution of current thread/run/node."""
node_attempt: int = 1
"""Current node execution attempt number (1-indexed)."""
node_first_attempt_time: float | None = None
"""Unix timestamp (seconds) for when the first attempt started."""
def patch(self, **overrides: Any) -> ExecutionInfo:
"""Return a new execution info object with selected fields replaced."""
return self._replace(**overrides)
__all__ = ("Runtime", "get_runtime")
def _no_op_stream_writer(_: Any) -> None: ...
@@ -36,7 +22,6 @@ class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
store: BaseStore | None
stream_writer: StreamWriter
previous: Any
execution_info: ExecutionInfo
@dataclass(**_DC_KWARGS)
@@ -44,7 +29,7 @@ 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`, `previous`, and `execution_info`.
`context`, `store`, `stream_writer`, and `previous`.
!!! note "Accessing `config`"
@@ -130,9 +115,6 @@ class Runtime(Generic[ContextT]):
Only available with the functional API when a checkpointer is provided.
"""
execution_info: ExecutionInfo = field(default_factory=ExecutionInfo)
"""Read-only execution information/metadata for the current node run."""
def merge(self, other: Runtime[ContextT]) -> Runtime[ContextT]:
"""Merge two runtimes together.
@@ -145,7 +127,6 @@ class Runtime(Generic[ContextT]):
if other.stream_writer is not _no_op_stream_writer
else self.stream_writer,
previous=self.previous if other.previous is None else other.previous,
execution_info=other.execution_info,
)
def override(
@@ -154,20 +135,12 @@ class Runtime(Generic[ContextT]):
"""Replace the runtime with a new runtime with the given overrides."""
return replace(self, **overrides)
def patch_execution_info(self, **overrides: Any) -> Runtime[ContextT]:
"""Return a new runtime with selected execution_info fields replaced."""
return replace(
self,
execution_info=self.execution_info.patch(**overrides),
)
DEFAULT_RUNTIME = Runtime(
context=None,
store=None,
stream_writer=_no_op_stream_writer,
previous=None,
execution_info=ExecutionInfo(),
)
+1 -1
View File
@@ -335,7 +335,7 @@ StreamPart = TypeAliasType(
| CheckpointStreamPart[StateT]
| TasksStreamPart
| DebugStreamPart[StateT],
type_params=(StateT, OutputT),
type_params=(OutputT, StateT),
)
"""A discriminated union of all v2 stream part types.
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.1.3"
version = "1.0.10"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.10"
-12
View File
@@ -1396,10 +1396,8 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
"langgraph_path": (PULL, "agent"),
"langgraph_checkpoint_ns": AnyStr("agent:"),
"checkpoint_ns": AnyStr("agent:"),
"_type": "generic-fake-chat-model",
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
},
),
(
@@ -1458,10 +1456,8 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
"langgraph_path": (PULL, "agent"),
"langgraph_checkpoint_ns": AnyStr("agent:"),
"checkpoint_ns": AnyStr("agent:"),
"_type": "generic-fake-chat-model",
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
},
),
]
@@ -1509,10 +1505,8 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
"langgraph_path": (PULL, "agent"),
"langgraph_checkpoint_ns": AnyStr("agent:"),
"checkpoint_ns": AnyStr("agent:"),
"_type": "generic-fake-chat-model",
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
},
),
]
@@ -6881,10 +6875,8 @@ def test_weather_subgraph(
"langgraph_path": ("__pregel_pull", "router_node"),
"langgraph_checkpoint_ns": AnyStr("router_node:"),
"checkpoint_ns": AnyStr("router_node:"),
"_type": "fake-messages-list-chat-model",
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
},
),
),
@@ -6909,10 +6901,8 @@ def test_weather_subgraph(
"langgraph_path": ("__pregel_pull", "model_node"),
"langgraph_checkpoint_ns": AnyStr("weather_graph:"),
"checkpoint_ns": AnyStr("weather_graph:"),
"_type": "fake-messages-list-chat-model",
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
},
),
),
@@ -6946,10 +6936,8 @@ def test_weather_subgraph(
"langgraph_path": ("__pregel_pull", "router_node"),
"langgraph_checkpoint_ns": AnyStr("router_node:"),
"checkpoint_ns": AnyStr("router_node:"),
"_type": "fake-messages-list-chat-model",
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
},
),
]
@@ -1147,10 +1147,8 @@ async def test_prebuilt_tool_chat() -> None:
"langgraph_path": (PULL, "agent"),
"langgraph_checkpoint_ns": AnyStr("agent:"),
"checkpoint_ns": AnyStr("agent:"),
"_type": "generic-fake-chat-model",
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
},
),
(
@@ -1209,10 +1207,8 @@ async def test_prebuilt_tool_chat() -> None:
"langgraph_path": (PULL, "agent"),
"langgraph_checkpoint_ns": AnyStr("agent:"),
"checkpoint_ns": AnyStr("agent:"),
"_type": "generic-fake-chat-model",
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
},
),
]
@@ -1260,10 +1256,8 @@ async def test_prebuilt_tool_chat() -> None:
"langgraph_path": (PULL, "agent"),
"langgraph_checkpoint_ns": AnyStr("agent:"),
"checkpoint_ns": AnyStr("agent:"),
"_type": "generic-fake-chat-model",
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
},
),
]
@@ -3978,10 +3972,8 @@ async def test_weather_subgraph(
"langgraph_path": ("__pregel_pull", "router_node"),
"langgraph_checkpoint_ns": AnyStr("router_node:"),
"checkpoint_ns": AnyStr("router_node:"),
"_type": "fake-messages-list-chat-model",
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
},
),
),
@@ -4006,10 +3998,8 @@ async def test_weather_subgraph(
"langgraph_path": ("__pregel_pull", "model_node"),
"langgraph_checkpoint_ns": AnyStr("weather_graph:"),
"checkpoint_ns": AnyStr("weather_graph:"),
"_type": "fake-messages-list-chat-model",
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
},
),
),
@@ -4043,10 +4033,8 @@ async def test_weather_subgraph(
"langgraph_path": ("__pregel_pull", "router_node"),
"langgraph_checkpoint_ns": AnyStr("router_node:"),
"checkpoint_ns": AnyStr("router_node:"),
"_type": "fake-messages-list-chat-model",
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
},
),
]
-2
View File
@@ -6891,10 +6891,8 @@ def test_tags_stream_mode_messages() -> None:
"langgraph_path": ("__pregel_pull", "call_model"),
"langgraph_checkpoint_ns": AnyStr("call_model:"),
"checkpoint_ns": AnyStr("call_model:"),
"_type": "generic-fake-chat-model",
"ls_provider": "genericfakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"tags": ["meow"],
},
)
@@ -7541,10 +7541,8 @@ async def test_tags_stream_mode_messages() -> None:
"langgraph_path": ("__pregel_pull", "call_model"),
"langgraph_checkpoint_ns": AnyStr("call_model:"),
"checkpoint_ns": AnyStr("call_model:"),
"_type": "generic-fake-chat-model",
"ls_provider": "genericfakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"tags": ["meow"],
},
)
-184
View File
@@ -1,6 +1,5 @@
import re
import sys
from dataclasses import dataclass
from typing import Annotated
from unittest.mock import AsyncMock, MagicMock
@@ -11,7 +10,6 @@ from langchain_core.runnables import RunnableConfig
from langchain_core.runnables.graph import Edge as DrawableEdge
from langchain_core.runnables.graph import Node as DrawableNode
from langgraph_sdk.schema import StreamPart
from pydantic import BaseModel
from typing_extensions import TypedDict
from langgraph.errors import GraphInterrupt
@@ -910,188 +908,6 @@ async def test_ainvoke():
assert result == {"messages": [{"type": "human", "content": "world"}]}
def test_stream_context():
"""Test that context is passed through to the SDK client in stream."""
mock_sync_client = MagicMock()
mock_sync_client.runs.stream.return_value = [
StreamPart(event="values", data={"chunk": "data1"}),
]
remote_pregel = RemoteGraph(
"test_graph_id",
sync_client=mock_sync_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
context = {"model_name": "anthropic", "user_id": "123"}
stream_parts = list(
remote_pregel.stream(
{"input": "data"},
config,
context=context,
stream_mode="values",
)
)
assert stream_parts == [{"chunk": "data1"}]
_, kwargs = mock_sync_client.runs.stream.call_args
assert kwargs["context"] == {"model_name": "anthropic", "user_id": "123"}
def test_stream_context_none():
"""Test that context defaults to None when not provided."""
mock_sync_client = MagicMock()
mock_sync_client.runs.stream.return_value = [
StreamPart(event="values", data={"chunk": "data1"}),
]
remote_pregel = RemoteGraph(
"test_graph_id",
sync_client=mock_sync_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
list(remote_pregel.stream({"input": "data"}, config, stream_mode="values"))
_, kwargs = mock_sync_client.runs.stream.call_args
assert kwargs["context"] is None
@pytest.mark.anyio
async def test_astream_context():
"""Test that context is passed through to the SDK client in astream."""
mock_async_client = MagicMock()
async_iter = MagicMock()
async_iter.__aiter__.return_value = [
StreamPart(event="values", data={"chunk": "data1"}),
]
mock_async_client.runs.stream.return_value = async_iter
remote_pregel = RemoteGraph(
"test_graph_id",
client=mock_async_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
context = {"model_name": "anthropic"}
chunks = []
async for chunk in remote_pregel.astream(
{"input": "data"},
config,
context=context,
stream_mode="values",
):
chunks.append(chunk)
assert chunks == [{"chunk": "data1"}]
_, kwargs = mock_async_client.runs.stream.call_args
assert kwargs["context"] == {"model_name": "anthropic"}
def test_invoke_context():
"""Test that context is passed through to the SDK client in invoke."""
mock_sync_client = MagicMock()
mock_sync_client.runs.stream.return_value = [
StreamPart(event="values", data={"result": "done"}),
]
remote_pregel = RemoteGraph(
"test_graph_id",
sync_client=mock_sync_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
context = {"model_name": "openai"}
result = remote_pregel.invoke({"input": "data"}, config, context=context)
assert result == {"result": "done"}
_, kwargs = mock_sync_client.runs.stream.call_args
assert kwargs["context"] == {"model_name": "openai"}
@pytest.mark.anyio
async def test_ainvoke_context():
"""Test that context is passed through to the SDK client in ainvoke."""
mock_async_client = MagicMock()
async_iter = MagicMock()
async_iter.__aiter__.return_value = [
StreamPart(event="values", data={"result": "done"}),
]
mock_async_client.runs.stream.return_value = async_iter
remote_pregel = RemoteGraph(
"test_graph_id",
client=mock_async_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
context = {"user_id": "456"}
result = await remote_pregel.ainvoke({"input": "data"}, config, context=context)
assert result == {"result": "done"}
_, kwargs = mock_async_client.runs.stream.call_args
assert kwargs["context"] == {"user_id": "456"}
def test_stream_context_dataclass():
"""Test that a dataclass context is passed through to the SDK client."""
@dataclass
class MyContext:
model_name: str
user_id: str
mock_sync_client = MagicMock()
mock_sync_client.runs.stream.return_value = [
StreamPart(event="values", data={"chunk": "data1"}),
]
remote_pregel = RemoteGraph(
"test_graph_id",
sync_client=mock_sync_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
ctx = MyContext(model_name="anthropic", user_id="123")
list(
remote_pregel.stream(
{"input": "data"}, config, context=ctx, stream_mode="values"
)
)
_, kwargs = mock_sync_client.runs.stream.call_args
assert kwargs["context"] == ctx
def test_stream_context_base_model():
"""Test that a BaseModel context is passed through to the SDK client."""
class MyContext(BaseModel):
model_name: str
user_id: str
mock_sync_client = MagicMock()
mock_sync_client.runs.stream.return_value = [
StreamPart(event="values", data={"chunk": "data1"}),
]
remote_pregel = RemoteGraph(
"test_graph_id",
sync_client=mock_sync_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
ctx = MyContext(model_name="anthropic", user_id="123")
list(
remote_pregel.stream(
{"input": "data"}, config, context=ctx, stream_mode="values"
)
)
_, kwargs = mock_sync_client.runs.stream.call_args
assert kwargs["context"] == ctx
@pytest.mark.skip(
"Unskip this test to manually test the LangSmith Deployment integration"
)
+1 -36
View File
@@ -5,7 +5,6 @@ from typing_extensions import TypedDict
from langgraph.graph import START, StateGraph
from langgraph.pregel._retry import _checkpoint_ns_for_parent_command, _should_retry_on
from langgraph.runtime import Runtime
from langgraph.types import RetryPolicy
@@ -169,15 +168,10 @@ def test_graph_with_single_retry_policy():
foo: str
attempt_count = 0
attempt_numbers: list[int] = []
first_attempt_times: list[float | None] = []
def failing_node(state: State, runtime: Runtime):
def failing_node(state: State):
nonlocal attempt_count
attempt_count += 1
assert runtime.execution_info.node_attempt == attempt_count
attempt_numbers.append(runtime.execution_info.node_attempt)
first_attempt_times.append(runtime.execution_info.node_first_attempt_time)
if attempt_count < 3: # Fail the first two attempts
raise ValueError("Intentional failure")
return {"foo": "success"}
@@ -209,11 +203,6 @@ def test_graph_with_single_retry_policy():
# Verify retry behavior
assert attempt_count == 3 # The node should have been tried 3 times
assert attempt_numbers == [1, 2, 3]
assert len(first_attempt_times) == 3
assert first_attempt_times[0] is not None
assert first_attempt_times[1] == first_attempt_times[0]
assert first_attempt_times[2] == first_attempt_times[0]
assert result["foo"] == "other_node" # Final result should be from other_node
# Verify the sleep intervals
@@ -221,30 +210,6 @@ def test_graph_with_single_retry_policy():
assert call_args_list == [0.01, 0.02]
def test_runtime_execution_info_defaults_without_retry():
"""Test execution_info defaults when no retry and no config are provided."""
class State(TypedDict):
foo: str
captured = {}
def node(state: State, runtime: Runtime):
captured["node_attempt"] = runtime.execution_info.node_attempt
captured["node_first_attempt_time"] = (
runtime.execution_info.node_first_attempt_time
)
return {"foo": "ok"}
graph = StateGraph(State).add_node("node", node).add_edge(START, "node").compile()
result = graph.invoke({"foo": ""})
assert result["foo"] == "ok"
assert captured["node_attempt"] == 1
assert isinstance(captured["node_first_attempt_time"], float)
def test_graph_with_jitter_retry_policy():
"""Test a graph with a RetryPolicy that uses jitter."""
+1 -1
View File
@@ -1129,7 +1129,7 @@ _OutputT = TypeVar("_OutputT")
_StateT = TypeVar("_StateT")
def _check_type_narrowing(part: StreamPart[_StateT, _OutputT]) -> None:
def _check_type_narrowing(part: StreamPart[_OutputT, _StateT]) -> None:
"""Compile-time type narrowing checks — never called at runtime."""
if part["type"] == "values":
assert_type(part, ValuesStreamPart[_OutputT])
-625
View File
@@ -1116,631 +1116,6 @@ def test_subgraph_replay_from_subgraph_checkpoint(
assert "post" in final_result["value"]
def test_subgraph_time_travel_to_first_interrupt(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel to a subgraph checkpoint at the FIRST interrupt.
Architecture:
Parent: START --> executor (subgraph, checkpointer=True) --> END
Executor: START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
Flow: run through both interrupts, then time travel back to the subgraph
checkpoint captured at the first interrupt. ask_1 should re-fire,
step_a should NOT re-run. Then resume through both interrupts with new answers.
"""
called: list[str] = []
def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
def ask_2(state: State) -> State:
called.append("ask_2")
answer = interrupt("Question 2?")
return {"value": [f"ask_2:{answer}"]}
executor = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_node("ask_2", ask_2)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "ask_2")
.add_edge("ask_2", "__end__")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("executor", executor)
.add_edge(START, "executor")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
# Run until first interrupt (ask_1)
result = graph.invoke({"value": []}, config)
assert "__interrupt__" in result
assert result["__interrupt__"][0].value == "Question 1?"
# Capture subgraph state at the first interrupt
parent_state = graph.get_state(config, subgraphs=True)
sub_config_at_first = parent_state.tasks[0].state.config
# Resume first interrupt
result = graph.invoke(Command(resume="answer_1"), config)
assert result["__interrupt__"][0].value == "Question 2?"
# Resume second interrupt to complete
result = graph.invoke(Command(resume="answer_2"), config)
assert "__interrupt__" not in result
# --- Scenario 1: Replay from subgraph checkpoint at 1st interrupt ---
called.clear()
replay_result = graph.invoke(None, sub_config_at_first)
assert "__interrupt__" in replay_result
assert replay_result["__interrupt__"][0].value == "Question 1?"
# step_a should NOT re-run — it was before this checkpoint
assert "step_a" not in called
# ask_1 re-fires because the interrupt replays
assert "ask_1" in called
# --- Scenario 2: Fork from subgraph checkpoint at 1st interrupt ---
called.clear()
fork_config = graph.update_state(sub_config_at_first, {"value": ["forked"]})
fork_result = graph.invoke(None, fork_config)
assert "__interrupt__" in fork_result
assert fork_result["__interrupt__"][0].value == "Question 1?"
assert "step_a" not in called
assert "ask_1" in called
def test_subgraph_time_travel_to_second_interrupt(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel to a subgraph checkpoint at the SECOND interrupt.
Architecture:
Parent: START --> executor (subgraph, checkpointer=True) --> END
Executor: START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
Flow: run through both interrupts resuming each, then time travel back to the
subgraph checkpoint at the second interrupt. Only ask_2 should re-fire.
Then resume with a new answer and verify state.
"""
called: list[str] = []
def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
def ask_2(state: State) -> State:
called.append("ask_2")
answer = interrupt("Question 2?")
return {"value": [f"ask_2:{answer}"]}
executor = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_node("ask_2", ask_2)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "ask_2")
.add_edge("ask_2", "__end__")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("executor", executor)
.add_edge(START, "executor")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
# Run until first interrupt (ask_1)
result = graph.invoke({"value": []}, config)
assert result["__interrupt__"][0].value == "Question 1?"
# Resume first interrupt
result = graph.invoke(Command(resume="answer_1"), config)
assert result["__interrupt__"][0].value == "Question 2?"
# Capture subgraph state at the second interrupt
parent_state = graph.get_state(config, subgraphs=True)
sub_config = parent_state.tasks[0].state.config
# Resume second interrupt to complete the graph
result = graph.invoke(Command(resume="answer_2"), config)
assert "__interrupt__" not in result
# --- Scenario 1: Replay from subgraph checkpoint at 2nd interrupt ---
called.clear()
replay_result = graph.invoke(None, sub_config)
assert "__interrupt__" in replay_result
assert replay_result["__interrupt__"][0].value == "Question 2?"
# step_a and ask_1 should NOT re-run — they were before this checkpoint
assert "step_a" not in called
assert "ask_1" not in called
# --- Scenario 2: Fork from subgraph checkpoint at 2nd interrupt ---
called.clear()
fork_config = graph.update_state(sub_config, {"value": ["forked"]})
fork_result = graph.invoke(None, fork_config)
assert "__interrupt__" in fork_result
assert fork_result["__interrupt__"][0].value == "Question 2?"
assert "step_a" not in called
assert "ask_1" not in called
def test_subgraph_time_travel_after_completion(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel to a subgraph checkpoint AFTER both interrupts are resolved.
Architecture:
Parent: START --> executor (subgraph, checkpointer=True) --> END
Executor: START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
After completing the full flow, capture the subgraph's final state checkpoint
and replay from it — should be a no-op (no nodes re-run).
"""
called: list[str] = []
def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
def ask_2(state: State) -> State:
called.append("ask_2")
answer = interrupt("Question 2?")
return {"value": [f"ask_2:{answer}"]}
executor = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_node("ask_2", ask_2)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "ask_2")
.add_edge("ask_2", "__end__")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("executor", executor)
.add_edge(START, "executor")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
# Run through both interrupts
graph.invoke({"value": []}, config)
graph.invoke(Command(resume="answer_1"), config)
# Before resuming 2nd interrupt, get state history to find the
# subgraph checkpoint that will exist after ask_2 completes
graph.invoke(Command(resume="answer_2"), config)
# Get the final parent state — no pending tasks
final_state = graph.get_state(config)
assert len(final_state.tasks) == 0
# Replay from the final parent checkpoint — should be a no-op
called.clear()
replay_result = graph.invoke(None, final_state.config)
assert "__interrupt__" not in replay_result
assert "step_a" not in called
assert "ask_1" not in called
assert "ask_2" not in called
# All values should be present
assert "step_a_done" in replay_result["value"]
assert "ask_1:answer_1" in replay_result["value"]
assert "ask_2:answer_2" in replay_result["value"]
def test_3_levels_deep_time_travel_to_first_interrupt(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel to the innermost subgraph checkpoint at the FIRST interrupt.
Architecture:
Parent: START --> outer (subgraph, checkpointer=True) --> END
Outer: START --> inner (subgraph, checkpointer=True) --> END
Inner: START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
"""
called: list[str] = []
def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
def ask_2(state: State) -> State:
called.append("ask_2")
answer = interrupt("Question 2?")
return {"value": [f"ask_2:{answer}"]}
inner = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_node("ask_2", ask_2)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "ask_2")
.add_edge("ask_2", "__end__")
.compile(checkpointer=True)
)
middle = (
StateGraph(State)
.add_node("inner", inner)
.add_edge(START, "inner")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("outer", middle)
.add_edge(START, "outer")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
# Run until first interrupt
result = graph.invoke({"value": []}, config)
assert result["__interrupt__"][0].value == "Question 1?"
# Capture innermost subgraph state at the first interrupt
parent_state = graph.get_state(config, subgraphs=True)
mid_state = parent_state.tasks[0].state
inner_config = mid_state.tasks[0].state.config
# Resume through both interrupts to complete
graph.invoke(Command(resume="answer_1"), config)
graph.invoke(Command(resume="answer_2"), config)
# --- Scenario 1: Replay from innermost checkpoint at 1st interrupt ---
called.clear()
replay_result = graph.invoke(None, inner_config)
assert "__interrupt__" in replay_result
assert replay_result["__interrupt__"][0].value == "Question 1?"
assert "step_a" not in called
assert "ask_1" in called
# --- Scenario 2: Fork from innermost checkpoint at 1st interrupt ---
called.clear()
fork_config = graph.update_state(inner_config, {"value": ["forked"]})
fork_result = graph.invoke(None, fork_config)
assert "__interrupt__" in fork_result
assert fork_result["__interrupt__"][0].value == "Question 1?"
assert "step_a" not in called
assert "ask_1" in called
def test_3_levels_deep_time_travel_to_second_interrupt(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel to the innermost subgraph checkpoint at the SECOND interrupt.
Architecture:
Parent: START --> outer (subgraph, checkpointer=True) --> END
Outer: START --> inner (subgraph, checkpointer=True) --> END
Inner: START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
"""
called: list[str] = []
def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
def ask_2(state: State) -> State:
called.append("ask_2")
answer = interrupt("Question 2?")
return {"value": [f"ask_2:{answer}"]}
inner = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_node("ask_2", ask_2)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "ask_2")
.add_edge("ask_2", "__end__")
.compile(checkpointer=True)
)
middle = (
StateGraph(State)
.add_node("inner", inner)
.add_edge(START, "inner")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("outer", middle)
.add_edge(START, "outer")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
# Run until first interrupt
graph.invoke({"value": []}, config)
# Resume first interrupt
result = graph.invoke(Command(resume="answer_1"), config)
assert result["__interrupt__"][0].value == "Question 2?"
# Capture innermost subgraph state at the second interrupt
parent_state = graph.get_state(config, subgraphs=True)
mid_state = parent_state.tasks[0].state
inner_config = mid_state.tasks[0].state.config
# Resume second interrupt to complete
graph.invoke(Command(resume="answer_2"), config)
# --- Scenario 1: Replay from innermost checkpoint at 2nd interrupt ---
called.clear()
replay_result = graph.invoke(None, inner_config)
assert "__interrupt__" in replay_result
assert replay_result["__interrupt__"][0].value == "Question 2?"
assert "step_a" not in called
assert "ask_1" not in called
# --- Scenario 2: Fork from innermost checkpoint at 2nd interrupt ---
called.clear()
fork_config = graph.update_state(inner_config, {"value": ["forked"]})
fork_result = graph.invoke(None, fork_config)
assert "__interrupt__" in fork_result
assert fork_result["__interrupt__"][0].value == "Question 2?"
assert "step_a" not in called
assert "ask_1" not in called
def test_3_levels_deep_time_travel_to_middle_subgraph(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel to the MIDDLE-level subgraph checkpoint (not innermost).
Architecture:
Parent: START --> outer (subgraph, checkpointer=True) --> END
Outer: START --> inner (subgraph, checkpointer=True) --> END
Inner: START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
After completing the full flow, time travel back to the middle subgraph's
checkpoint at the second interrupt. The middle subgraph should replay the
inner subgraph from the correct point.
"""
called: list[str] = []
def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
def ask_2(state: State) -> State:
called.append("ask_2")
answer = interrupt("Question 2?")
return {"value": [f"ask_2:{answer}"]}
inner = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_node("ask_2", ask_2)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "ask_2")
.add_edge("ask_2", "__end__")
.compile(checkpointer=True)
)
middle = (
StateGraph(State)
.add_node("inner", inner)
.add_edge(START, "inner")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("outer", middle)
.add_edge(START, "outer")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
# Run until first interrupt
graph.invoke({"value": []}, config)
# Resume first, capture middle config at second interrupt
graph.invoke(Command(resume="answer_1"), config)
parent_state = graph.get_state(config, subgraphs=True)
mid_config = parent_state.tasks[0].state.config
# Resume second to complete
graph.invoke(Command(resume="answer_2"), config)
# --- Scenario 1: Replay from middle-level subgraph checkpoint ---
# The middle subgraph's checkpoint knows about the inner subgraph's state
# via checkpoint_map, so the inner replays from the correct point.
called.clear()
replay_result = graph.invoke(None, mid_config)
assert "__interrupt__" in replay_result
# --- Scenario 2: Fork from middle-level subgraph checkpoint ---
called.clear()
fork_config = graph.update_state(mid_config, {"value": ["forked"]})
fork_result = graph.invoke(None, fork_config)
assert "__interrupt__" in fork_result
def test_3_levels_deep_middle_has_interrupts(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel when the MIDDLE subgraph itself has interrupts.
Architecture:
Parent: START --> outer (subgraph, checkpointer=True) --> END
Outer: START --> pre (interrupt) --> inner (subgraph, checkpointer=True) --> END
Inner: START --> step_a --> ask_1 (interrupt) --> END
Flow: run through both interrupts (pre then ask_1), then time travel back to
the middle subgraph checkpoint at each interrupt point.
"""
called: list[str] = []
def pre(state: State) -> State:
called.append("pre")
answer = interrupt("Pre-question?")
return {"value": [f"pre:{answer}"]}
def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
inner = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "__end__")
.compile(checkpointer=True)
)
middle = (
StateGraph(State)
.add_node("pre", pre)
.add_node("inner", inner)
.add_edge(START, "pre")
.add_edge("pre", "inner")
.add_edge("inner", "__end__")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("outer", middle)
.add_edge(START, "outer")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
# Run until first interrupt (pre in middle subgraph)
result = graph.invoke({"value": []}, config)
assert result["__interrupt__"][0].value == "Pre-question?"
# Capture middle subgraph config at the pre interrupt
parent_state = graph.get_state(config, subgraphs=True)
mid_config_at_pre = parent_state.tasks[0].state.config
# Resume pre, hits ask_1 in inner subgraph
result = graph.invoke(Command(resume="pre_answer"), config)
assert result["__interrupt__"][0].value == "Question 1?"
# Capture middle subgraph config at the ask_1 interrupt
parent_state = graph.get_state(config, subgraphs=True)
mid_config_at_ask1 = parent_state.tasks[0].state.config
# Resume ask_1 to complete
result = graph.invoke(Command(resume="answer_1"), config)
assert "__interrupt__" not in result
# --- Time travel to middle checkpoint at pre interrupt ---
called.clear()
replay_result = graph.invoke(None, mid_config_at_pre)
assert "__interrupt__" in replay_result
assert replay_result["__interrupt__"][0].value == "Pre-question?"
# pre should re-fire (interrupt replays), but nothing else should run
assert "pre" in called
assert "step_a" not in called
assert "ask_1" not in called
# Fork from middle checkpoint at pre interrupt
called.clear()
fork_config = graph.update_state(mid_config_at_pre, {"value": ["forked"]})
fork_result = graph.invoke(None, fork_config)
assert "__interrupt__" in fork_result
assert fork_result["__interrupt__"][0].value == "Pre-question?"
assert "pre" in called
assert "step_a" not in called
# --- Time travel to middle checkpoint at ask_1 interrupt ---
called.clear()
replay_result = graph.invoke(None, mid_config_at_ask1)
assert "__interrupt__" in replay_result
assert replay_result["__interrupt__"][0].value == "Question 1?"
# pre should NOT re-run (it completed before this checkpoint)
assert "pre" not in called
# ask_1 re-fires
assert "ask_1" in called
# Fork from middle checkpoint at ask_1 interrupt
called.clear()
fork_config = graph.update_state(mid_config_at_ask1, {"value": ["forked"]})
fork_result = graph.invoke(None, fork_config)
assert "__interrupt__" in fork_result
assert fork_result["__interrupt__"][0].value == "Question 1?"
assert "pre" not in called
assert "ask_1" in called
# ---------------------------------------------------------------------------
# Section 6: __copy__ / update_state(None)
# ---------------------------------------------------------------------------
@@ -1051,552 +1051,6 @@ async def test_subgraph_interrupt_full_flow_no_sub_checkpointer(
assert "post" in final_result["value"]
@NEEDS_CONTEXTVARS
async def test_subgraph_time_travel_to_first_interrupt_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel to a subgraph checkpoint at the FIRST interrupt (async)."""
called: list[str] = []
async def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
async def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
async def ask_2(state: State) -> State:
called.append("ask_2")
answer = interrupt("Question 2?")
return {"value": [f"ask_2:{answer}"]}
executor = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_node("ask_2", ask_2)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "ask_2")
.add_edge("ask_2", "__end__")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("executor", executor)
.add_edge(START, "executor")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
# Run until first interrupt (ask_1)
result = await graph.ainvoke({"value": []}, config)
assert result["__interrupt__"][0].value == "Question 1?"
# Capture subgraph state at the first interrupt
parent_state = await graph.aget_state(config, subgraphs=True)
sub_config_at_first = parent_state.tasks[0].state.config
# Resume through both interrupts to complete
await graph.ainvoke(Command(resume="answer_1"), config)
await graph.ainvoke(Command(resume="answer_2"), config)
# --- Scenario 1: Replay from subgraph checkpoint at 1st interrupt ---
called.clear()
replay_result = await graph.ainvoke(None, sub_config_at_first)
assert "__interrupt__" in replay_result
assert replay_result["__interrupt__"][0].value == "Question 1?"
assert "step_a" not in called
assert "ask_1" in called
# --- Scenario 2: Fork from subgraph checkpoint at 1st interrupt ---
called.clear()
fork_config = await graph.aupdate_state(sub_config_at_first, {"value": ["forked"]})
fork_result = await graph.ainvoke(None, fork_config)
assert "__interrupt__" in fork_result
assert fork_result["__interrupt__"][0].value == "Question 1?"
assert "step_a" not in called
assert "ask_1" in called
@NEEDS_CONTEXTVARS
async def test_subgraph_time_travel_to_second_interrupt_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel to a subgraph checkpoint at the SECOND interrupt (async)."""
called: list[str] = []
async def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
async def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
async def ask_2(state: State) -> State:
called.append("ask_2")
answer = interrupt("Question 2?")
return {"value": [f"ask_2:{answer}"]}
executor = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_node("ask_2", ask_2)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "ask_2")
.add_edge("ask_2", "__end__")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("executor", executor)
.add_edge(START, "executor")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
# Run until first interrupt
await graph.ainvoke({"value": []}, config)
# Resume first interrupt
result = await graph.ainvoke(Command(resume="answer_1"), config)
assert result["__interrupt__"][0].value == "Question 2?"
# Capture subgraph state at the second interrupt
parent_state = await graph.aget_state(config, subgraphs=True)
sub_config = parent_state.tasks[0].state.config
# Resume second interrupt to complete
await graph.ainvoke(Command(resume="answer_2"), config)
# --- Scenario 1: Replay from subgraph checkpoint at 2nd interrupt ---
called.clear()
replay_result = await graph.ainvoke(None, sub_config)
assert "__interrupt__" in replay_result
assert replay_result["__interrupt__"][0].value == "Question 2?"
assert "step_a" not in called
assert "ask_1" not in called
# --- Scenario 2: Fork from subgraph checkpoint at 2nd interrupt ---
called.clear()
fork_config = await graph.aupdate_state(sub_config, {"value": ["forked"]})
fork_result = await graph.ainvoke(None, fork_config)
assert "__interrupt__" in fork_result
assert fork_result["__interrupt__"][0].value == "Question 2?"
assert "step_a" not in called
assert "ask_1" not in called
@NEEDS_CONTEXTVARS
async def test_subgraph_time_travel_after_completion_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel to a subgraph checkpoint AFTER both interrupts resolved (async)."""
called: list[str] = []
async def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
async def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
async def ask_2(state: State) -> State:
called.append("ask_2")
answer = interrupt("Question 2?")
return {"value": [f"ask_2:{answer}"]}
executor = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_node("ask_2", ask_2)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "ask_2")
.add_edge("ask_2", "__end__")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("executor", executor)
.add_edge(START, "executor")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
await graph.ainvoke({"value": []}, config)
await graph.ainvoke(Command(resume="answer_1"), config)
await graph.ainvoke(Command(resume="answer_2"), config)
final_state = await graph.aget_state(config)
assert len(final_state.tasks) == 0
# Replay from the final parent checkpoint — should be a no-op
called.clear()
replay_result = await graph.ainvoke(None, final_state.config)
assert "__interrupt__" not in replay_result
assert "step_a" not in called
assert "ask_1" not in called
assert "ask_2" not in called
assert "step_a_done" in replay_result["value"]
assert "ask_1:answer_1" in replay_result["value"]
assert "ask_2:answer_2" in replay_result["value"]
@NEEDS_CONTEXTVARS
async def test_3_levels_deep_time_travel_to_first_interrupt_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel to innermost subgraph checkpoint at FIRST interrupt (async, 3 levels)."""
called: list[str] = []
async def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
async def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
async def ask_2(state: State) -> State:
called.append("ask_2")
answer = interrupt("Question 2?")
return {"value": [f"ask_2:{answer}"]}
inner = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_node("ask_2", ask_2)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "ask_2")
.add_edge("ask_2", "__end__")
.compile(checkpointer=True)
)
middle = (
StateGraph(State)
.add_node("inner", inner)
.add_edge(START, "inner")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("outer", middle)
.add_edge(START, "outer")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
result = await graph.ainvoke({"value": []}, config)
assert result["__interrupt__"][0].value == "Question 1?"
parent_state = await graph.aget_state(config, subgraphs=True)
mid_state = parent_state.tasks[0].state
inner_config = mid_state.tasks[0].state.config
await graph.ainvoke(Command(resume="answer_1"), config)
await graph.ainvoke(Command(resume="answer_2"), config)
# --- Scenario 1: Replay from innermost checkpoint at 1st interrupt ---
called.clear()
replay_result = await graph.ainvoke(None, inner_config)
assert "__interrupt__" in replay_result
assert replay_result["__interrupt__"][0].value == "Question 1?"
assert "step_a" not in called
assert "ask_1" in called
# --- Scenario 2: Fork from innermost checkpoint at 1st interrupt ---
called.clear()
fork_config = await graph.aupdate_state(inner_config, {"value": ["forked"]})
fork_result = await graph.ainvoke(None, fork_config)
assert "__interrupt__" in fork_result
assert fork_result["__interrupt__"][0].value == "Question 1?"
assert "step_a" not in called
assert "ask_1" in called
@NEEDS_CONTEXTVARS
async def test_3_levels_deep_time_travel_to_second_interrupt_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel to innermost subgraph checkpoint at SECOND interrupt (async, 3 levels)."""
called: list[str] = []
async def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
async def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
async def ask_2(state: State) -> State:
called.append("ask_2")
answer = interrupt("Question 2?")
return {"value": [f"ask_2:{answer}"]}
inner = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_node("ask_2", ask_2)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "ask_2")
.add_edge("ask_2", "__end__")
.compile(checkpointer=True)
)
middle = (
StateGraph(State)
.add_node("inner", inner)
.add_edge(START, "inner")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("outer", middle)
.add_edge(START, "outer")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
await graph.ainvoke({"value": []}, config)
result = await graph.ainvoke(Command(resume="answer_1"), config)
assert result["__interrupt__"][0].value == "Question 2?"
parent_state = await graph.aget_state(config, subgraphs=True)
mid_state = parent_state.tasks[0].state
inner_config = mid_state.tasks[0].state.config
await graph.ainvoke(Command(resume="answer_2"), config)
# --- Scenario 1: Replay ---
called.clear()
replay_result = await graph.ainvoke(None, inner_config)
assert "__interrupt__" in replay_result
assert replay_result["__interrupt__"][0].value == "Question 2?"
assert "step_a" not in called
assert "ask_1" not in called
# --- Scenario 2: Fork ---
called.clear()
fork_config = await graph.aupdate_state(inner_config, {"value": ["forked"]})
fork_result = await graph.ainvoke(None, fork_config)
assert "__interrupt__" in fork_result
assert fork_result["__interrupt__"][0].value == "Question 2?"
assert "step_a" not in called
assert "ask_1" not in called
@NEEDS_CONTEXTVARS
async def test_3_levels_deep_time_travel_to_middle_subgraph_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel to the MIDDLE-level subgraph checkpoint (async, 3 levels)."""
called: list[str] = []
async def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
async def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
async def ask_2(state: State) -> State:
called.append("ask_2")
answer = interrupt("Question 2?")
return {"value": [f"ask_2:{answer}"]}
inner = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_node("ask_2", ask_2)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "ask_2")
.add_edge("ask_2", "__end__")
.compile(checkpointer=True)
)
middle = (
StateGraph(State)
.add_node("inner", inner)
.add_edge(START, "inner")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("outer", middle)
.add_edge(START, "outer")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
await graph.ainvoke({"value": []}, config)
await graph.ainvoke(Command(resume="answer_1"), config)
parent_state = await graph.aget_state(config, subgraphs=True)
mid_config = parent_state.tasks[0].state.config
await graph.ainvoke(Command(resume="answer_2"), config)
# --- Scenario 1: Replay from middle-level subgraph checkpoint ---
# The middle subgraph's checkpoint knows about the inner subgraph's state
# via checkpoint_map, so the inner replays from the correct point.
called.clear()
replay_result = await graph.ainvoke(None, mid_config)
assert "__interrupt__" in replay_result
# --- Scenario 2: Fork from middle-level subgraph checkpoint ---
called.clear()
fork_config = await graph.aupdate_state(mid_config, {"value": ["forked"]})
fork_result = await graph.ainvoke(None, fork_config)
assert "__interrupt__" in fork_result
@NEEDS_CONTEXTVARS
async def test_3_levels_deep_middle_has_interrupts_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Time travel when the MIDDLE subgraph itself has interrupts (async)."""
called: list[str] = []
async def pre(state: State) -> State:
called.append("pre")
answer = interrupt("Pre-question?")
return {"value": [f"pre:{answer}"]}
async def step_a(state: State) -> State:
called.append("step_a")
return {"value": ["step_a_done"]}
async def ask_1(state: State) -> State:
called.append("ask_1")
answer = interrupt("Question 1?")
return {"value": [f"ask_1:{answer}"]}
inner = (
StateGraph(State)
.add_node("step_a", step_a)
.add_node("ask_1", ask_1)
.add_edge(START, "step_a")
.add_edge("step_a", "ask_1")
.add_edge("ask_1", "__end__")
.compile(checkpointer=True)
)
middle = (
StateGraph(State)
.add_node("pre", pre)
.add_node("inner", inner)
.add_edge(START, "pre")
.add_edge("pre", "inner")
.add_edge("inner", "__end__")
.compile(checkpointer=True)
)
graph = (
StateGraph(State)
.add_node("outer", middle)
.add_edge(START, "outer")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
# Run until first interrupt (pre in middle subgraph)
result = await graph.ainvoke({"value": []}, config)
assert result["__interrupt__"][0].value == "Pre-question?"
# Capture middle subgraph config at the pre interrupt
parent_state = await graph.aget_state(config, subgraphs=True)
mid_config_at_pre = parent_state.tasks[0].state.config
# Resume pre, hits ask_1 in inner subgraph
result = await graph.ainvoke(Command(resume="pre_answer"), config)
assert result["__interrupt__"][0].value == "Question 1?"
# Capture middle subgraph config at the ask_1 interrupt
parent_state = await graph.aget_state(config, subgraphs=True)
mid_config_at_ask1 = parent_state.tasks[0].state.config
# Resume ask_1 to complete
result = await graph.ainvoke(Command(resume="answer_1"), config)
assert "__interrupt__" not in result
# --- Time travel to middle checkpoint at pre interrupt ---
called.clear()
replay_result = await graph.ainvoke(None, mid_config_at_pre)
assert "__interrupt__" in replay_result
assert replay_result["__interrupt__"][0].value == "Pre-question?"
assert "pre" in called
assert "step_a" not in called
assert "ask_1" not in called
# Fork from middle checkpoint at pre interrupt
called.clear()
fork_config = await graph.aupdate_state(mid_config_at_pre, {"value": ["forked"]})
fork_result = await graph.ainvoke(None, fork_config)
assert "__interrupt__" in fork_result
assert fork_result["__interrupt__"][0].value == "Pre-question?"
assert "pre" in called
assert "step_a" not in called
# --- Time travel to middle checkpoint at ask_1 interrupt ---
called.clear()
replay_result = await graph.ainvoke(None, mid_config_at_ask1)
assert "__interrupt__" in replay_result
assert replay_result["__interrupt__"][0].value == "Question 1?"
assert "pre" not in called
assert "ask_1" in called
# Fork from middle checkpoint at ask_1 interrupt
called.clear()
fork_config = await graph.aupdate_state(mid_config_at_ask1, {"value": ["forked"]})
fork_result = await graph.ainvoke(None, fork_config)
assert "__interrupt__" in fork_result
assert fork_result["__interrupt__"][0].value == "Question 1?"
assert "pre" not in called
assert "ask_1" in called
# ---------------------------------------------------------------------------
# Section 6: __copy__ / update_state(None)
# ---------------------------------------------------------------------------
+131 -129
View File
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[[package]]
+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__ = "0.3.12"
__version__ = "0.3.10"
__all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
+4 -14
View File
@@ -4,11 +4,10 @@ from __future__ import annotations
import warnings
from collections.abc import Mapping, Sequence
from datetime import datetime, tzinfo
from datetime import datetime
from typing import Any
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._shared.utilities import _resolve_timezone
from langgraph_sdk.schema import (
All,
Config,
@@ -71,7 +70,6 @@ class CronClient:
multitask_strategy: str | None = None,
end_time: datetime | None = None,
enabled: bool | None = None,
timezone: str | tzinfo | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
stream_subgraphs: bool | None = None,
stream_resumable: bool | None = None,
@@ -86,7 +84,7 @@ 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 unless a timezone is specified.
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.
@@ -102,7 +100,6 @@ class CronClient:
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.
timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
stream_mode: The stream mode(s) to use.
stream_subgraphs: Whether to stream output from subgraphs.
stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -155,7 +152,6 @@ class CronClient:
"webhook": webhook,
"end_time": end_time.isoformat() if end_time else None,
"enabled": enabled,
"timezone": _resolve_timezone(timezone),
"stream_mode": stream_mode,
"stream_subgraphs": stream_subgraphs,
"stream_resumable": stream_resumable,
@@ -188,7 +184,6 @@ class CronClient:
multitask_strategy: str | None = None,
end_time: datetime | None = None,
enabled: bool | None = None,
timezone: str | tzinfo | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
stream_subgraphs: bool | None = None,
stream_resumable: bool | None = None,
@@ -202,7 +197,7 @@ 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 unless a timezone is specified.
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.
@@ -220,7 +215,6 @@ class CronClient:
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.
timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
stream_mode: The stream mode(s) to use.
stream_subgraphs: Whether to stream output from subgraphs.
stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -274,7 +268,6 @@ class CronClient:
"on_run_completed": on_run_completed,
"end_time": end_time.isoformat() if end_time else None,
"enabled": enabled,
"timezone": _resolve_timezone(timezone),
"stream_mode": stream_mode,
"stream_subgraphs": stream_subgraphs,
"stream_resumable": stream_resumable,
@@ -331,7 +324,6 @@ class CronClient:
interrupt_after: All | list[str] | None = None,
on_run_completed: OnCompletionBehavior | None = None,
enabled: bool | None = None,
timezone: str | tzinfo | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
stream_subgraphs: bool | None = None,
stream_resumable: bool | None = None,
@@ -344,7 +336,7 @@ class CronClient:
Args:
cron_id: The cron ID to update.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC unless a timezone is specified.
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.
@@ -358,7 +350,6 @@ class CronClient:
after execution. 'keep' creates a new thread for each execution but does not
clean them up.
enabled: Enable or disable the cron job.
timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
stream_mode: The stream mode(s) to use.
stream_subgraphs: Whether to stream output from subgraphs.
stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -393,7 +384,6 @@ class CronClient:
"interrupt_after": interrupt_after,
"on_run_completed": on_run_completed,
"enabled": enabled,
"timezone": _resolve_timezone(timezone),
"stream_mode": stream_mode,
"stream_subgraphs": stream_subgraphs,
"stream_resumable": stream_resumable,
+1 -34
View File
@@ -6,17 +6,13 @@ import functools
import os
import re
from collections.abc import Mapping
from datetime import tzinfo
from typing import TYPE_CHECKING, Any, cast
from typing import Any, cast
import httpx
import langgraph_sdk
from langgraph_sdk.schema import RunCreateMetadata
if TYPE_CHECKING:
from zoneinfo import ZoneInfo
RESERVED_HEADERS = ("x-api-key",)
NOT_PROVIDED = cast(None, object())
@@ -129,35 +125,6 @@ def _sse_to_v2_dict(event: str, data: Any) -> dict[str, Any] | None:
return result
def _resolve_timezone(tz: str | tzinfo | ZoneInfo | None) -> str | None:
"""Convert a timezone argument to an IANA timezone string.
Accepts:
- A string (returned as-is, assumed to be an IANA timezone name)
- A ``datetime.tzinfo`` instance (e.g. ``zoneinfo.ZoneInfo("America/New_York")``,
``datetime.timezone.utc``). The ``key`` attribute is used if available,
otherwise ``tzname(None)`` is used.
- ``None`` (returned as ``None``)
"""
if tz is None or isinstance(tz, str):
return tz
if isinstance(tz, tzinfo):
# ZoneInfo objects have a .key attribute with the IANA name
if hasattr(tz, "key"):
return tz.key # type: ignore[union-attr]
# Fall back to tzname for fixed-offset timezones like datetime.timezone.utc
name = tz.tzname(None)
if name is not None:
return name
raise ValueError(
f"Cannot determine timezone name from {tz!r}. "
"Use a zoneinfo.ZoneInfo instance or pass a string like 'America/New_York'."
)
raise TypeError(
f"Expected str, datetime.tzinfo, or None for timezone, got {type(tz).__name__}"
)
def _provided_vals(d: Mapping[str, Any]) -> dict[str, Any]:
return {k: v for k, v in d.items() if v is not None}
+4 -14
View File
@@ -4,10 +4,9 @@ from __future__ import annotations
import warnings
from collections.abc import Mapping, Sequence
from datetime import datetime, tzinfo
from datetime import datetime
from typing import Any
from langgraph_sdk._shared.utilities import _resolve_timezone
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk.schema import (
All,
@@ -65,7 +64,6 @@ class SyncCronClient:
multitask_strategy: str | None = None,
end_time: datetime | None = None,
enabled: bool | None = None,
timezone: str | tzinfo | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
stream_subgraphs: bool | None = None,
stream_resumable: bool | None = None,
@@ -80,7 +78,7 @@ 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 unless a timezone is specified.
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.
@@ -94,7 +92,6 @@ class SyncCronClient:
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.
timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
stream_mode: The stream mode(s) to use.
stream_subgraphs: Whether to stream output from subgraphs.
stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -147,7 +144,6 @@ class SyncCronClient:
"multitask_strategy": multitask_strategy,
"end_time": end_time.isoformat() if end_time else None,
"enabled": enabled,
"timezone": _resolve_timezone(timezone),
"stream_mode": stream_mode,
"stream_subgraphs": stream_subgraphs,
"stream_resumable": stream_resumable,
@@ -178,7 +174,6 @@ class SyncCronClient:
multitask_strategy: str | None = None,
end_time: datetime | None = None,
enabled: bool | None = None,
timezone: str | tzinfo | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
stream_subgraphs: bool | None = None,
stream_resumable: bool | None = None,
@@ -192,7 +187,7 @@ 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 unless a timezone is specified.
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.
@@ -210,7 +205,6 @@ class SyncCronClient:
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.
timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
stream_mode: The stream mode(s) to use.
stream_subgraphs: Whether to stream output from subgraphs.
stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -265,7 +259,6 @@ class SyncCronClient:
"multitask_strategy": multitask_strategy,
"end_time": end_time.isoformat() if end_time else None,
"enabled": enabled,
"timezone": _resolve_timezone(timezone),
"stream_mode": stream_mode,
"stream_subgraphs": stream_subgraphs,
"stream_resumable": stream_resumable,
@@ -320,7 +313,6 @@ class SyncCronClient:
interrupt_after: All | list[str] | None = None,
on_run_completed: OnCompletionBehavior | None = None,
enabled: bool | None = None,
timezone: str | tzinfo | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
stream_subgraphs: bool | None = None,
stream_resumable: bool | None = None,
@@ -333,7 +325,7 @@ class SyncCronClient:
Args:
cron_id: The cron ID to update.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC unless a timezone is specified.
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.
@@ -347,7 +339,6 @@ class SyncCronClient:
after execution. 'keep' creates a new thread for each execution but does not
clean them up.
enabled: Enable or disable the cron job.
timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
stream_mode: The stream mode(s) to use.
stream_subgraphs: Whether to stream output from subgraphs.
stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -382,7 +373,6 @@ class SyncCronClient:
"interrupt_after": interrupt_after,
"on_run_completed": on_run_completed,
"enabled": enabled,
"timezone": _resolve_timezone(timezone),
"stream_mode": stream_mode,
"stream_subgraphs": stream_subgraphs,
"stream_resumable": stream_resumable,
+1 -79
View File
@@ -7,13 +7,8 @@ Values must be JSON-serializable (dicts, lists, strings, numbers, booleans,
from __future__ import annotations
from collections.abc import Awaitable, Callable
from datetime import timedelta
from typing import Any, Generic, Literal, TypeVar
T = TypeVar("T")
CacheStatus = Literal["miss", "fresh", "stale", "expired"]
from typing import Any
try:
from langgraph_api.cache import ( # type: ignore[unresolved-import]
@@ -27,29 +22,9 @@ except ImportError:
_cache_set = None
try:
from langgraph_api.cache import SWRResult # type: ignore[unresolved-import]
from langgraph_api.cache import swr as _api_swr # type: ignore[unresolved-import]
except ImportError:
_api_swr = None
class SWRResult(Generic[T]):
"""Result wrapper returned by :func:`swr`."""
value: T
status: CacheStatus
async def mutate(self, value: T = ...) -> T: # type: ignore[assignment]
"""Update or revalidate the cached value."""
...
__all__ = [
"SWRResult",
"cache_get",
"cache_set",
"swr",
]
@@ -85,56 +60,3 @@ async def cache_set(key: str, value: Any, *, ttl: timedelta | None = None) -> No
"(https://docs.langchain.com/langsmith/deployments)."
)
await _cache_set(key, value, ttl)
async def swr(
key: str,
loader: Callable[[], Awaitable[T]],
*,
fresh_for: timedelta | None = None,
max_age: timedelta | None = None,
model: type[T] | None = None,
) -> SWRResult[T]:
"""Load a cached value using stale-while-revalidate semantics.
This helper is server-side only and is intended for caching internal async
dependencies such as auth or metadata lookups.
Args:
key: Cache key.
loader: Async callable that fetches the value on miss/revalidation.
fresh_for: How long a cached value is considered fresh (no revalidation).
Defaults to ``timedelta(0)`` so every access triggers a background
revalidate while still returning the cached value instantly. Values
above :data:`MAX_CACHE_TTL` are clamped to the backend maximum.
max_age: Total lifetime of a cached entry. After this, the next access
blocks on the loader. Defaults to :data:`MAX_CACHE_TTL` (24 h by
default). Values above :data:`MAX_CACHE_TTL` are clamped to the
backend maximum.
model: Optional Pydantic model class. When provided, values are
serialized via ``model_dump(mode="json")`` before storage and
deserialized via ``model.model_validate()`` on read.
Returns:
An :class:`SWRResult` with ``.value``, ``.status``, and an async
``.mutate()`` method.
Semantics:
- cache miss: await ``loader()``, store the value, return it
- fresh hit (age < fresh_for): return the cached value
- stale hit (fresh_for <= age < max_age): return the cached value
immediately and trigger a best-effort background refresh
- expired (age >= max_age): await ``loader()``, store the value, return it
"""
if _api_swr is None:
raise RuntimeError(
"Cache is only available server-side within the LangGraph Agent Server "
"(https://docs.langchain.com/langsmith/deployments)."
)
if fresh_for is None:
fresh_for = timedelta(0)
if max_age is None:
max_age = timedelta(days=1)
return await _api_swr(
key, loader, fresh_for=fresh_for, max_age=max_age, model=model
)
-5
View File
@@ -385,8 +385,6 @@ class Cron(TypedDict):
"""The end date to stop running the cron."""
schedule: str
"""The schedule to run, cron format."""
timezone: str | None
"""IANA timezone for the cron schedule (e.g. 'America/New_York'). Defaults to null, which is treated as UTC."""
created_at: datetime
"""The time the cron was created."""
updated_at: datetime
@@ -408,8 +406,6 @@ class CronUpdate(TypedDict, total=False):
schedule: str
"""The cron schedule to execute this job on."""
timezone: str
"""IANA timezone for the cron schedule (e.g. 'America/New_York')."""
end_time: datetime
"""The end date to stop running the cron."""
input: Input
@@ -486,7 +482,6 @@ CronSelectField = Literal[
"thread_id",
"end_time",
"schedule",
"timezone",
"created_at",
"updated_at",
"user_id",
+2 -2
View File
@@ -30,10 +30,10 @@ test = [
"pytest-watch",
]
lint = [
"ruff==0.15.6",
"ruff==0.15.5",
"codespell",
"mypy==1.19.1",
"ty==0.0.23",
"ty==0.0.21",
"starlette",
]
dev = [
-69
View File
@@ -1,69 +0,0 @@
from datetime import timedelta
from unittest.mock import AsyncMock
import pytest
import langgraph_sdk.cache as cache_module
@pytest.mark.asyncio
async def test_swr_proxies_to_server_impl(monkeypatch):
loader = AsyncMock(return_value={"ok": True})
forwarded = {}
async def fake_swr(key, inner_loader, *, fresh_for, max_age, model):
forwarded["key"] = key
forwarded["fresh_for"] = fresh_for
forwarded["max_age"] = max_age
forwarded["model"] = model
return await inner_loader()
monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
result = await cache_module.swr(
"test-key",
loader,
fresh_for=timedelta(seconds=1),
max_age=timedelta(seconds=10),
)
assert result == {"ok": True}
assert forwarded == {
"key": "test-key",
"fresh_for": timedelta(seconds=1),
"max_age": timedelta(seconds=10),
"model": None,
}
loader.assert_awaited_once()
@pytest.mark.asyncio
async def test_swr_requires_server_runtime(monkeypatch):
monkeypatch.setattr(cache_module, "_api_swr", None)
with pytest.raises(RuntimeError, match="Cache is only available server-side"):
await cache_module.swr(
"test-key",
AsyncMock(return_value="unused"),
fresh_for=timedelta(seconds=1),
max_age=timedelta(seconds=10),
)
@pytest.mark.asyncio
async def test_swr_defaults(monkeypatch):
"""fresh_for defaults to 0, max_age defaults to 1 day."""
loader = AsyncMock(return_value="val")
forwarded = {}
async def fake_swr(_key, inner_loader, *, fresh_for, max_age, model): # noqa: ARG001
forwarded["fresh_for"] = fresh_for
forwarded["max_age"] = max_age
return await inner_loader()
monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
await cache_module.swr("k", loader)
assert forwarded["fresh_for"] == timedelta(0)
assert forwarded["max_age"] == timedelta(days=1)
+236 -264
View File
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