mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-28 10:49:56 +02:00
Compare commits
2
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Christian Bromann
|
2d33866447 | ||
|
Christian Bromann
|
c78866a2c4 |
@@ -116,13 +116,13 @@ 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" != "1.1.5" ]; then
|
||||
echo "LANGGRAPH_VERSION != 1.1.5; $LANGGRAPH_VERSION"
|
||||
if [ "$LANGGRAPH_VERSION" != "1.1.2" ]; then
|
||||
echo "LANGGRAPH_VERSION != 1.1.2; $LANGGRAPH_VERSION"
|
||||
exit 1
|
||||
fi
|
||||
LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
|
||||
if [ "$LANGCHAIN_OPENAI_VERSION" != "1.1.14" ]; then
|
||||
echo "LANGCHAIN_OPENAI_VERSION != 1.1.14; $LANGCHAIN_OPENAI_VERSION"
|
||||
if [ "$LANGCHAIN_OPENAI_VERSION" != "1.0.1" ]; then
|
||||
echo "LANGCHAIN_OPENAI_VERSION != 1.0.1; $LANGCHAIN_OPENAI_VERSION"
|
||||
exit 1
|
||||
fi
|
||||
LANGCHAIN_ANTHROPIC_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-anthropic'); print(v);")
|
||||
@@ -136,33 +136,3 @@ jobs:
|
||||
working-directory: libs/cli/examples/graph_prerelease_reqs_fail
|
||||
run: |
|
||||
langgraph build -t langgraph-test-i || [ $? -eq 1 ]
|
||||
|
||||
- name: Build uv simple service
|
||||
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
|
||||
working-directory: libs/cli/uv-examples/simple
|
||||
run: |
|
||||
langgraph build -t langgraph-test-uv-simple
|
||||
- name: Test uv simple service
|
||||
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
|
||||
working-directory: libs/cli/uv-examples/simple
|
||||
env:
|
||||
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
|
||||
run: |
|
||||
cp .env.example .env
|
||||
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
|
||||
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-simple
|
||||
|
||||
- name: Build uv monorepo service
|
||||
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
|
||||
working-directory: libs/cli/uv-examples/monorepo/apps/agent
|
||||
run: |
|
||||
langgraph build -t langgraph-test-uv-monorepo
|
||||
- name: Test uv monorepo service
|
||||
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
|
||||
working-directory: libs/cli/uv-examples/monorepo/apps/agent
|
||||
env:
|
||||
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
|
||||
run: |
|
||||
cp .env.example .env
|
||||
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
|
||||
timeout 60 python ../../../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-monorepo
|
||||
|
||||
@@ -37,7 +37,7 @@ jobs:
|
||||
run: python docs/generate_redirects.py
|
||||
|
||||
- name: Setup Pages
|
||||
uses: actions/configure-pages@v6
|
||||
uses: actions/configure-pages@v5
|
||||
|
||||
- name: Upload artifact
|
||||
uses: actions/upload-pages-artifact@v4
|
||||
|
||||
@@ -21,7 +21,6 @@ jobs:
|
||||
reopen-linked-prs:
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
actions: write
|
||||
pull-requests: write
|
||||
|
||||
steps:
|
||||
@@ -159,37 +158,4 @@ jobs:
|
||||
} catch (e) {
|
||||
core.warning(`Could not minimize stale comment on PR #${prNumber}: ${e.message}`);
|
||||
}
|
||||
|
||||
// Re-run the failed require_issue_link check so it picks up the
|
||||
// new assignment. The re-run uses the original event payload but
|
||||
// fetches live issue data, so the assignment check will pass.
|
||||
//
|
||||
// Limitation: we look up runs by the PR's current head SHA. If the
|
||||
// contributor pushed new commits while the PR was closed, head.sha
|
||||
// won't match the SHA of the original failed run and the query will
|
||||
// return 0 results. This is acceptable because any push after reopen
|
||||
// triggers a fresh require_issue_link run against the new SHA.
|
||||
try {
|
||||
const { data: pr } = await github.rest.pulls.get({
|
||||
owner, repo, pull_number: prNumber,
|
||||
});
|
||||
const { data: runs } = await github.rest.actions.listWorkflowRuns({
|
||||
owner, repo,
|
||||
workflow_id: 'require_issue_link.yml',
|
||||
head_sha: pr.head.sha,
|
||||
status: 'failure',
|
||||
per_page: 1,
|
||||
});
|
||||
if (runs.workflow_runs.length > 0) {
|
||||
await github.rest.actions.reRunWorkflowFailedJobs({
|
||||
owner, repo,
|
||||
run_id: runs.workflow_runs[0].id,
|
||||
});
|
||||
console.log(`Re-ran failed require_issue_link run ${runs.workflow_runs[0].id} for PR #${prNumber}`);
|
||||
} else {
|
||||
console.log(`No failed require_issue_link runs found for PR #${prNumber} — skipping re-run`);
|
||||
}
|
||||
} catch (e) {
|
||||
core.warning(`Could not re-run require_issue_link check for PR #${prNumber} (HTTP ${e.status ?? 'unknown'}): ${e.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -339,6 +339,37 @@ async def test_list_metadata_custom_keys(
|
||||
assert results[0].metadata["run_id"] == "run-abc"
|
||||
|
||||
|
||||
async def test_list_global_search(
|
||||
saver: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
"""alist(None, filter=...) searches across all threads."""
|
||||
tid1, tid2 = str(uuid4()), str(uuid4())
|
||||
|
||||
# Use a unique marker so we don't collide with other tests' data
|
||||
marker = str(uuid4())
|
||||
|
||||
cfg1 = generate_config(tid1)
|
||||
cp1 = generate_checkpoint()
|
||||
await saver.aput(cfg1, cp1, generate_metadata(source="input", marker=marker), {})
|
||||
|
||||
cfg2 = generate_config(tid2)
|
||||
cp2 = generate_checkpoint()
|
||||
await saver.aput(cfg2, cp2, generate_metadata(source="loop", marker=marker), {})
|
||||
|
||||
# Search across all threads with filter
|
||||
results = []
|
||||
async for tup in saver.alist(None, filter={"source": "input", "marker": marker}):
|
||||
results.append(tup)
|
||||
assert len(results) == 1
|
||||
assert results[0].config["configurable"]["thread_id"] == tid1
|
||||
|
||||
# Search with marker only — should find both
|
||||
results = []
|
||||
async for tup in saver.alist(None, filter={"marker": marker}):
|
||||
results.append(tup)
|
||||
assert len(results) == 2
|
||||
|
||||
|
||||
ALL_LIST_TESTS = [
|
||||
test_list_all,
|
||||
test_list_by_thread,
|
||||
@@ -349,6 +380,7 @@ ALL_LIST_TESTS = [
|
||||
test_list_metadata_filter_multiple_keys,
|
||||
test_list_metadata_filter_no_match,
|
||||
test_list_metadata_custom_keys,
|
||||
test_list_global_search,
|
||||
test_list_before,
|
||||
test_list_limit,
|
||||
test_list_limit_plus_before,
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-checkpoint-conformance"
|
||||
version = "0.0.2"
|
||||
version = "0.0.1"
|
||||
description = "Conformance test suite for LangGraph checkpointer implementations."
|
||||
authors = [{name = "William FH", email = "13333726+hinthornw@users.noreply.github.com"}]
|
||||
requires-python = ">=3.10"
|
||||
|
||||
Generated
+47
-47
@@ -231,7 +231,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.2.28"
|
||||
version = "1.2.22"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -243,9 +243,9 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
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||||
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" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
|
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{ 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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -263,7 +263,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint-conformance"
|
||||
version = "0.0.2"
|
||||
version = "0.0.1"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langgraph-checkpoint" },
|
||||
@@ -306,7 +306,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.7.31"
|
||||
version = "0.7.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "httpx" },
|
||||
@@ -319,9 +319,9 @@ dependencies = [
|
||||
{ name = "xxhash" },
|
||||
{ name = "zstandard" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
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sdist = { url = "https://files.pythonhosted.org/packages/8d/bc/8172fefad4f2da888a6d564a27d1fb7d4dbf3c640899c2b40c46235cbe98/langsmith-0.7.3.tar.gz", hash = "sha256:0223b97021af62d2cf53c8a378a27bd22e90a7327e45b353e0069ae60d5d6f9e", size = 988575, upload-time = "2026-02-13T23:25:32.916Z" }
|
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wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
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{ url = "https://files.pythonhosted.org/packages/f4/9d/5a68b6b5e313ffabbb9725d18a71edb48177fd6d3ad329c07801d2a8e862/langsmith-0.7.3-py3-none-any.whl", hash = "sha256:03659bf9274e6efcead361c9c31a7849ea565ae0d6c0d73e1d8b239029eff3be", size = 325718, upload-time = "2026-02-13T23:25:31.52Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -623,7 +623,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "pytest"
|
||||
version = "9.0.3"
|
||||
version = "9.0.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
@@ -634,9 +634,9 @@ dependencies = [
|
||||
{ name = "pygments" },
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/7d/0d/549bd94f1a0a402dc8cf64563a117c0f3765662e2e668477624baeec44d5/pytest-9.0.3.tar.gz", hash = "sha256:b86ada508af81d19edeb213c681b1d48246c1a91d304c6c81a427674c17eb91c", size = 1572165, upload-time = "2026-04-07T17:16:18.027Z" }
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sdist = { url = "https://files.pythonhosted.org/packages/d1/db/7ef3487e0fb0049ddb5ce41d3a49c235bf9ad299b6a25d5780a89f19230f/pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11", size = 1568901, upload-time = "2025-12-06T21:30:51.014Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/d4/24/a372aaf5c9b7208e7112038812994107bc65a84cd00e0354a88c2c77a617/pytest-9.0.3-py3-none-any.whl", hash = "sha256:2c5efc453d45394fdd706ade797c0a81091eccd1d6e4bccfcd476e2b8e0ab5d9", size = 375249, upload-time = "2026-04-07T17:16:16.13Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/3b/ab/b3226f0bd7cdcf710fbede2b3548584366da3b19b5021e74f5bde2a8fa3f/pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b", size = 374801, upload-time = "2025-12-06T21:30:49.154Z" },
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||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -746,27 +746,27 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.15.8"
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||||
version = "0.15.7"
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||||
source = { registry = "https://pypi.org/simple" }
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||||
sdist = { url = "https://files.pythonhosted.org/packages/a1/22/9e4f66ee588588dc6c9af6a994e12d26e19efbe874d1a909d09a6dac7a59/ruff-0.15.7.tar.gz", hash = "sha256:04f1ae61fc20fe0b148617c324d9d009b5f63412c0b16474f3d5f1a1a665f7ac", size = 4601277, upload-time = "2026-03-19T16:26:22.605Z" }
|
||||
wheels = [
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||||
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||||
{ url = "https://files.pythonhosted.org/packages/ca/f2/7a631a8af6d88bcef997eb1bf87cc3da158294c57044aafd3e17030613de/ruff-0.15.8-py3-none-macosx_11_0_arm64.whl", hash = "sha256:6ee3ae5c65a42f273f126686353f2e08ff29927b7b7e203b711514370d500de3", size = 10323044, upload-time = "2026-03-26T18:39:33.37Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/02/f1/5bfb9298d9c323f842c5ddeb85f1f10ef51516ac7a34ba446c9347d898df/ruff-0.15.8-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:432701303b26416d22ba696c39f2c6f12499b89093b61360abc34bcc9bf07762", size = 11121987, upload-time = "2026-03-26T18:39:55.195Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/10/11/6da2e538704e753c04e8d86b1fc55712fdbdcc266af1a1ece7a51fff0d10/ruff-0.15.8-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d910ae974b7a06a33a057cb87d2a10792a3b2b3b35e33d2699fdf63ec8f6b17a", size = 11951057, upload-time = "2026-03-26T18:39:19.18Z" },
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]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -6,11 +6,6 @@ Implementation of LangGraph CheckpointSaver that uses Postgres.
|
||||
|
||||
By default `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) without any extras. However, you can choose a specific installation that best suits your needs [here](https://www.psycopg.org/psycopg3/docs/basic/install.html) (for example, `psycopg[binary]`).
|
||||
|
||||
## Security
|
||||
|
||||
> [!IMPORTANT]
|
||||
> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
|
||||
|
||||
## Usage
|
||||
|
||||
> [!IMPORTANT]
|
||||
|
||||
Generated
+204
-347
@@ -240,7 +240,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
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||||
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|
||||
source = { registry = "https://pypi.org/simple" }
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||||
dependencies = [
|
||||
{ name = "jsonpatch" },
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||||
@@ -252,14 +252,14 @@ dependencies = [
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{ name = "typing-extensions" },
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{ name = "uuid-utils" },
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||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.0.3"
|
||||
version = "4.0.1"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -382,7 +382,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
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|
||||
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|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "httpx" },
|
||||
@@ -392,102 +392,89 @@ dependencies = [
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||||
{ name = "requests" },
|
||||
{ name = "requests-toolbelt" },
|
||||
{ name = "uuid-utils" },
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{ name = "xxhash" },
|
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{ name = "zstandard" },
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|
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[[package]]
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|
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|
||||
[[package]]
|
||||
name = "zstandard"
|
||||
version = "0.25.0"
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||||
|
||||
@@ -2,11 +2,6 @@
|
||||
|
||||
Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`)
|
||||
|
||||
## Security
|
||||
|
||||
> [!IMPORTANT]
|
||||
> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
|
||||
|
||||
## Usage
|
||||
|
||||
```python
|
||||
|
||||
Generated
+135
-278
@@ -249,7 +249,7 @@ wheels = [
|
||||
|
||||
[[package]]
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||||
name = "langchain-core"
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version = "1.2.28"
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version = "1.2.22"
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||||
source = { registry = "https://pypi.org/simple" }
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dependencies = [
|
||||
{ name = "jsonpatch" },
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@@ -261,14 +261,14 @@ dependencies = [
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{ name = "typing-extensions" },
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{ name = "uuid-utils" },
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|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.0.3"
|
||||
version = "4.0.1"
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]
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||||
|
||||
[[package]]
|
||||
name = "zstandard"
|
||||
version = "0.25.0"
|
||||
|
||||
@@ -26,9 +26,6 @@ You must pass these when invoking the graph as part of the configurable part of
|
||||
|
||||
`langgraph_checkpoint` also defines protocol for serialization/deserialization (serde) and provides an default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.
|
||||
|
||||
> [!IMPORTANT]
|
||||
> **Checkpoint deserialization security:** By default the serializer allows any Python type found in checkpoint data. New applications should set the environment variable `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list to `JsonPlusSerializer` to restrict deserialization to known-safe types.
|
||||
|
||||
### Pending writes
|
||||
|
||||
When a graph node fails mid-execution at a given superstep, LangGraph stores pending checkpoint writes from any other nodes that completed successfully at that superstep, so that whenever we resume graph execution from that superstep we don't re-run the successful nodes.
|
||||
|
||||
@@ -1,10 +1,3 @@
|
||||
"""Msgpack deserialization safety controls.
|
||||
|
||||
Set ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict checkpoint deserialization
|
||||
to the types listed in ``SAFE_MSGPACK_TYPES``. Without this, any Python
|
||||
callable stored in checkpoint data will be imported and executed on load.
|
||||
"""
|
||||
|
||||
import os
|
||||
from collections.abc import Iterable
|
||||
from typing import cast
|
||||
|
||||
@@ -46,36 +46,6 @@ LC_REVIVER = Reviver()
|
||||
EMPTY_BYTES = b""
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Dedup log warnings across process lifetime; cap bounds state if types are
|
||||
# dynamically generated (also acts as a circuit breaker on warning volume).
|
||||
# Dedup is best-effort: racing threads may each emit once for the same key,
|
||||
# and warnings are silently dropped once _MAX_WARNED_TYPES is reached.
|
||||
_MAX_WARNED_TYPES = 1000
|
||||
_warned_unregistered_types: set[tuple[str, str]] = set()
|
||||
_warned_blocked_types: set[tuple[str, str]] = set()
|
||||
|
||||
|
||||
def _is_safe_json_type(id_list: list[str]) -> bool:
|
||||
"""Return True if an lc=2 id refers to a type in SAFE_MSGPACK_TYPES.
|
||||
|
||||
Safe types bypass the ``allowed_json_modules`` gate so that old "json" format
|
||||
checkpoints (written before the msgpack migration) can be resumed without
|
||||
requiring users to configure an explicit allowlist.
|
||||
"""
|
||||
if len(id_list) < 2:
|
||||
return False
|
||||
module_name = ".".join(id_list[:-1])
|
||||
return (module_name, id_list[-1]) in _lg_msgpack.SAFE_MSGPACK_TYPES
|
||||
|
||||
|
||||
def _warn_once(
|
||||
seen: set[tuple[str, str]], key: tuple[str, str], msg: str, *args: object
|
||||
) -> None:
|
||||
if key in seen or len(seen) >= _MAX_WARNED_TYPES:
|
||||
return
|
||||
seen.add(key)
|
||||
logger.warning(msg, *args)
|
||||
|
||||
|
||||
class JsonPlusSerializer(SerializerProtocol):
|
||||
"""Serializer that uses ormsgpack, with optional fallbacks.
|
||||
@@ -86,10 +56,6 @@ class JsonPlusSerializer(SerializerProtocol):
|
||||
class and called within the Pregel loop. It should not be used on untrusted
|
||||
python objects. If an attacker can write directly to your checkpoint database,
|
||||
they may be able to trigger code execution when data is deserialized.
|
||||
|
||||
Set the environment variable ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict
|
||||
deserialization to a built-in allowlist of safe types. You can also pass
|
||||
an explicit ``allowed_msgpack_modules`` to the constructor.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
@@ -104,11 +70,8 @@ class JsonPlusSerializer(SerializerProtocol):
|
||||
) -> None:
|
||||
if allowed_msgpack_modules is _lg_msgpack._SENTINEL:
|
||||
if _lg_msgpack.STRICT_MSGPACK_ENABLED:
|
||||
# Strict: only SAFE_MSGPACK_TYPES are allowed.
|
||||
allowed_msgpack_modules = None
|
||||
else:
|
||||
# Permissive (default): all types allowed with a warning.
|
||||
# Set LANGGRAPH_STRICT_MSGPACK=true to lock this down.
|
||||
allowed_msgpack_modules = True
|
||||
self.pickle_fallback = pickle_fallback
|
||||
self._allowed_json_modules: set[tuple[str, ...]] | Literal[True] | None = (
|
||||
@@ -177,23 +140,19 @@ class JsonPlusSerializer(SerializerProtocol):
|
||||
return out
|
||||
|
||||
def _reviver(self, value: dict[str, Any]) -> Any:
|
||||
if (
|
||||
if self._allowed_json_modules and (
|
||||
value.get("lc", None) == 2
|
||||
and value.get("type", None) == "constructor"
|
||||
and value.get("id", None) is not None
|
||||
):
|
||||
id_list = value["id"]
|
||||
is_safe = _is_safe_json_type(id_list)
|
||||
if self._allowed_json_modules or is_safe:
|
||||
try:
|
||||
return self._revive_lc2(value)
|
||||
except InvalidModuleError as e:
|
||||
if not is_safe:
|
||||
logger.warning(
|
||||
"Object %s is not in the deserialization allowlist.\n%s",
|
||||
value["id"],
|
||||
e.message,
|
||||
)
|
||||
try:
|
||||
return self._revive_lc2(value)
|
||||
except InvalidModuleError as e:
|
||||
logger.warning(
|
||||
"Object %s is not in the deserialization allowlist.\n%s",
|
||||
value["id"],
|
||||
e.message,
|
||||
)
|
||||
|
||||
return LC_REVIVER(value)
|
||||
|
||||
@@ -241,13 +200,6 @@ class JsonPlusSerializer(SerializerProtocol):
|
||||
method_display = "<init>"
|
||||
|
||||
dotted = ".".join(needed)
|
||||
# Safe types (the same set already allowed for msgpack deserialization) are
|
||||
# permitted without an explicit allowlist — they are known-safe LangGraph and
|
||||
# LangChain types. This restores backwards-compat for old "json" checkpoints
|
||||
# that pre-date the msgpack migration without reopening the broader security gate.
|
||||
if _is_safe_json_type(list(needed)):
|
||||
return
|
||||
|
||||
if not self._allowed_json_modules:
|
||||
raise InvalidModuleError(
|
||||
f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
|
||||
@@ -575,13 +527,10 @@ def _create_msgpack_ext_hook(
|
||||
"name": name,
|
||||
}
|
||||
)
|
||||
_warn_once(
|
||||
_warned_unregistered_types,
|
||||
key,
|
||||
logger.warning(
|
||||
"Deserializing unregistered type %s.%s from checkpoint. "
|
||||
"This will be blocked in a future version. "
|
||||
"Set LANGGRAPH_STRICT_MSGPACK=true to block now, or add "
|
||||
"to allowed_msgpack_modules to allow explicitly: [(%r, %r)]",
|
||||
"Add to allowed_msgpack_modules to silence: [(%r, %r)]",
|
||||
module,
|
||||
name,
|
||||
module,
|
||||
@@ -599,9 +548,7 @@ def _create_msgpack_ext_hook(
|
||||
"name": name,
|
||||
}
|
||||
)
|
||||
_warn_once(
|
||||
_warned_blocked_types,
|
||||
key,
|
||||
logger.warning(
|
||||
"Blocked deserialization of %s.%s - not in allowed_msgpack_modules. "
|
||||
"Add to allowed_msgpack_modules to allow: [(%r, %r)]",
|
||||
module,
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.0.3"
|
||||
version = "4.0.1"
|
||||
description = "Library with base interfaces for LangGraph checkpoint savers."
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
@@ -45,9 +45,6 @@ dev = [
|
||||
"pycryptodome>=3.23.0",
|
||||
]
|
||||
|
||||
[tool.uv.sources]
|
||||
langchain-core = { git = "https://github.com/langchain-ai/langchain", branch = "cb/chat-model-updates", subdirectory = "libs/core" }
|
||||
|
||||
[tool.hatch.build.targets.wheel]
|
||||
include = ["langgraph"]
|
||||
|
||||
|
||||
@@ -29,8 +29,6 @@ from langgraph.checkpoint.serde.jsonplus import (
|
||||
EXT_METHOD_SINGLE_ARG,
|
||||
JsonPlusSerializer,
|
||||
_msgpack_enc,
|
||||
_warned_blocked_types,
|
||||
_warned_unregistered_types,
|
||||
)
|
||||
|
||||
|
||||
@@ -104,13 +102,6 @@ def test_msgpack_method_pathlib_blocked_encrypted_strict(
|
||||
class TestEncryptedSerializerMsgpackAllowlist:
|
||||
"""Test msgpack allowlist behavior through EncryptedSerializer."""
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def _reset_warned_types(self) -> None:
|
||||
# Warning dedup state is process-global; reset per-test so each case
|
||||
# sees a fresh slate and assertions about warning emission are stable.
|
||||
_warned_unregistered_types.clear()
|
||||
_warned_blocked_types.clear()
|
||||
|
||||
def test_safe_types_no_warning(self, caplog: pytest.LogCaptureFixture) -> None:
|
||||
"""Test safe types deserialize without warnings through encryption."""
|
||||
serde = _make_encrypted_serde()
|
||||
|
||||
@@ -35,8 +35,6 @@ from langgraph.checkpoint.serde.jsonplus import (
|
||||
JsonPlusSerializer,
|
||||
_msgpack_enc,
|
||||
_msgpack_ext_hook_to_json,
|
||||
_warned_blocked_types,
|
||||
_warned_unregistered_types,
|
||||
)
|
||||
from langgraph.store.base import Item
|
||||
|
||||
@@ -333,57 +331,6 @@ def test_serde_jsonplus_bytes() -> None:
|
||||
assert serde.loads_typed(dumped) == some_bytes
|
||||
|
||||
|
||||
def test_lc2_json_safe_type_revives_without_allowlist() -> None:
|
||||
"""Old 'json' blobs with lc=2 for safe types must revive without an explicit allowlist.
|
||||
|
||||
Regression test for: https://github.com/langchain-ai/langgraph/issues/7498
|
||||
Threads checkpointed before v1.0.1 (pre-msgpack) stored messages as lc=2 JSON
|
||||
constructor dicts. Resuming those threads must reconstruct proper BaseMessage objects
|
||||
rather than returning raw dicts that cause MESSAGE_COERCION_FAILURE in add_messages.
|
||||
"""
|
||||
from langchain_core.messages import AIMessage
|
||||
|
||||
serde = JsonPlusSerializer() # default: _allowed_json_modules=None
|
||||
|
||||
human_blob = {
|
||||
"lc": 2,
|
||||
"type": "constructor",
|
||||
"id": ["langchain_core", "messages", "human", "HumanMessage"],
|
||||
"kwargs": {"content": "hello", "type": "human"},
|
||||
}
|
||||
ai_blob = {
|
||||
"lc": 2,
|
||||
"type": "constructor",
|
||||
"id": ["langchain_core", "messages", "ai", "AIMessage"],
|
||||
"kwargs": {"content": "hi there", "type": "ai"},
|
||||
}
|
||||
result = serde.loads_typed(("json", json.dumps([human_blob, ai_blob]).encode()))
|
||||
|
||||
assert len(result) == 2
|
||||
assert isinstance(result[0], HumanMessage), (
|
||||
f"Expected HumanMessage, got {type(result[0])}: {result[0]!r}\n"
|
||||
"lc=2 JSON blobs for safe types must deserialize without an explicit allowlist"
|
||||
)
|
||||
assert result[0].content == "hello"
|
||||
assert isinstance(result[1], AIMessage)
|
||||
assert result[1].content == "hi there"
|
||||
|
||||
|
||||
def test_lc2_json_unknown_type_stays_blocked_without_allowlist() -> None:
|
||||
"""lc=2 JSON blobs for types NOT in SAFE_MSGPACK_TYPES still require an allowlist."""
|
||||
serde = JsonPlusSerializer()
|
||||
load = {
|
||||
"lc": 2,
|
||||
"type": "constructor",
|
||||
"id": ["pprint", "pprint"],
|
||||
"kwargs": {"object": "HELLO"},
|
||||
}
|
||||
# No allowlist configured → raw dict returned (not raised, not reconstructed)
|
||||
result = serde.loads_typed(("json", json.dumps(load).encode()))
|
||||
assert isinstance(result, dict), "Unknown lc=2 type must stay as raw dict"
|
||||
assert result.get("lc") == 2
|
||||
|
||||
|
||||
def test_deserde_invalid_module() -> None:
|
||||
serde = JsonPlusSerializer()
|
||||
load = {
|
||||
@@ -633,14 +580,6 @@ def test_msgpack_safe_types_no_warning(caplog: pytest.LogCaptureFixture) -> None
|
||||
assert result is not None
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def _reset_warned_types() -> None:
|
||||
# Warning dedup state is process-global; reset per-test so each case sees
|
||||
# a fresh slate and assertions about warning emission are stable.
|
||||
_warned_unregistered_types.clear()
|
||||
_warned_blocked_types.clear()
|
||||
|
||||
|
||||
def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) -> None:
|
||||
"""Pydantic models not in allowlist should log warning but still deserialize."""
|
||||
current = _lg_msgpack.STRICT_MSGPACK_ENABLED
|
||||
@@ -656,12 +595,6 @@ def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) ->
|
||||
assert "unregistered type" in caplog.text.lower()
|
||||
assert "allowed_msgpack_modules" in caplog.text
|
||||
assert result == obj
|
||||
|
||||
# Second deserialization of the same type should NOT produce another warning
|
||||
caplog.clear()
|
||||
result2 = serde.loads_typed(dumped)
|
||||
assert "unregistered type" not in caplog.text.lower()
|
||||
assert result2 == obj
|
||||
_lg_msgpack.STRICT_MSGPACK_ENABLED = current
|
||||
|
||||
|
||||
@@ -706,6 +639,7 @@ def test_msgpack_allowlist_silences_warning(caplog: pytest.LogCaptureFixture) ->
|
||||
|
||||
def test_msgpack_none_blocks_unregistered(caplog: pytest.LogCaptureFixture) -> None:
|
||||
"""allowed_msgpack_modules=None should block unregistered types."""
|
||||
|
||||
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
|
||||
|
||||
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
|
||||
@@ -723,6 +657,7 @@ def test_msgpack_allowlist_blocks_non_listed(
|
||||
caplog: pytest.LogCaptureFixture,
|
||||
) -> None:
|
||||
"""Allowlists should block unregistered types even if msgpack is enabled."""
|
||||
|
||||
serde = JsonPlusSerializer(
|
||||
allowed_msgpack_modules=[("tests.test_jsonplus", "MyPydantic")]
|
||||
)
|
||||
|
||||
@@ -12,25 +12,13 @@ from langgraph.checkpoint.base import (
|
||||
empty_checkpoint,
|
||||
)
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
from langgraph.checkpoint.serde.jsonplus import (
|
||||
JsonPlusSerializer,
|
||||
_warned_blocked_types,
|
||||
_warned_unregistered_types,
|
||||
)
|
||||
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
|
||||
|
||||
|
||||
class MemoryPydantic(BaseModel):
|
||||
foo: str
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def _reset_warned_types() -> None:
|
||||
# Warning dedup state is process-global; reset per-test so each case sees
|
||||
# a fresh slate and assertions about warning emission are stable.
|
||||
_warned_unregistered_types.clear()
|
||||
_warned_blocked_types.clear()
|
||||
|
||||
|
||||
class TestMemorySaver:
|
||||
@pytest.fixture(autouse=True)
|
||||
def setup(self) -> None:
|
||||
|
||||
Generated
+131
-283
@@ -267,11 +267,10 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.3.2"
|
||||
source = { git = "https://github.com/langchain-ai/langchain?subdirectory=libs%2Fcore&branch=cb%2Fchat-model-updates#aee50839376e379891c99fcbe6d5264f66dedc68" }
|
||||
version = "1.2.22"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
{ name = "langchain-protocol" },
|
||||
{ name = "langsmith" },
|
||||
{ name = "packaging" },
|
||||
{ name = "pydantic" },
|
||||
@@ -280,22 +279,14 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langchain-protocol"
|
||||
version = "0.0.14"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "typing-extensions" },
|
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]
|
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sdist = { url = "https://files.pythonhosted.org/packages/05/bf/efb5e2ed832e4d6d45590e25a9e5191986b291b543bc6a807b48bee070b0/langchain_protocol-0.0.14.tar.gz", hash = "sha256:bc1e8553122e6ede310280462d5813023a172ff2785ccbbdec54d43f3a15e5f2", size = 5862, upload-time = "2026-04-29T16:40:18.657Z" }
|
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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" }
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wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c2/e9/06c47ecb2aff08f83dfa30058da3bf86be64862c19569043ed5331bbeecd/langchain_protocol-0.0.14-py3-none-any.whl", hash = "sha256:ffc35089779bd8ca217015180cef5e660fc3b074efdaa0f2e95df73583f1a047", size = 6984, upload-time = "2026-04-29T16:40:17.841Z" },
|
||||
{ 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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.0.3"
|
||||
version = "4.0.1"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -339,7 +330,7 @@ test = [
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "langchain-core", git = "https://github.com/langchain-ai/langchain?subdirectory=libs%2Fcore&branch=cb%2Fchat-model-updates" },
|
||||
{ name = "langchain-core", specifier = ">=0.2.38" },
|
||||
{ name = "ormsgpack", specifier = ">=1.12.0" },
|
||||
]
|
||||
|
||||
@@ -378,7 +369,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.7.31"
|
||||
version = "0.6.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "httpx" },
|
||||
@@ -388,97 +379,84 @@ dependencies = [
|
||||
{ name = "requests" },
|
||||
{ name = "requests-toolbelt" },
|
||||
{ name = "uuid-utils" },
|
||||
{ name = "xxhash" },
|
||||
{ name = "zstandard" },
|
||||
]
|
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wheels = [
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|
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|
||||
[[package]]
|
||||
name = "librt"
|
||||
version = "0.8.1"
|
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version = "0.7.8"
|
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source = { registry = "https://pypi.org/simple" }
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sdist = { url = "https://files.pythonhosted.org/packages/e7/24/5f3646ff414285e0f7708fa4e946b9bf538345a41d1c375c439467721a5e/librt-0.7.8.tar.gz", hash = "sha256:1a4ede613941d9c3470b0368be851df6bb78ab218635512d0370b27a277a0862", size = 148323, upload-time = "2026-01-14T12:56:16.876Z" }
|
||||
wheels = [
|
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{ url = "https://files.pythonhosted.org/packages/ff/e0/0472cf37267b5920eff2f292ccfaede1886288ce35b7f3203d8de00abfe6/librt-0.8.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5db05697c82b3a2ec53f6e72b2ed373132b0c2e05135f0696784e97d7f5d48e7", size = 68376, upload-time = "2026-02-17T16:11:08.395Z" },
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||||
[[package]]
|
||||
name = "zstandard"
|
||||
version = "0.25.0"
|
||||
|
||||
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
"langgraph==1.1.5"
|
||||
"langgraph==1.1.2"
|
||||
]
|
||||
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
"langchain-openai==1.1.14"
|
||||
"langchain-openai==1.0.1"
|
||||
]
|
||||
@@ -5,9 +5,9 @@ description = "Test for prerelease stuff"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
"langchain-openai==1.1.14",
|
||||
"langchain-openai==1.0.0a2",
|
||||
"langchain-anthropic==1.0.0a5",
|
||||
"langgraph==1.1.5"
|
||||
"langgraph==1.1.2"
|
||||
]
|
||||
|
||||
[tool.uv]
|
||||
|
||||
@@ -5,7 +5,7 @@ description = "Test for prerelease stuff"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
"langchain-openai==1.1.14",
|
||||
"langchain-openai==1.0.0a2",
|
||||
"langgraph==1.1.2",
|
||||
"langchain_community>=0.3.0",
|
||||
]
|
||||
@@ -159,8 +159,8 @@ def generate_schema():
|
||||
if k not in python_specific_props and k not in node_specific_props
|
||||
]
|
||||
|
||||
# Create legacy Python schema with python_version and pip_config_file
|
||||
legacy_python_schema = {
|
||||
# Create Python schema with python_version and pip_config_file
|
||||
python_schema = {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
# Include Python-specific properties
|
||||
@@ -170,45 +170,10 @@ def generate_schema():
|
||||
},
|
||||
"required": ["dependencies", "graphs"],
|
||||
}
|
||||
legacy_python_schema["properties"]["pip_installer"] = {
|
||||
"anyOf": [
|
||||
{"type": "string", "enum": ["auto", "pip", "uv"]},
|
||||
{"type": "null"},
|
||||
]
|
||||
}
|
||||
|
||||
uv_source_python_schema = {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
**{
|
||||
k: config_schema["properties"][k].copy()
|
||||
for k in python_specific_props + common_props
|
||||
},
|
||||
},
|
||||
"required": ["graphs", "source"],
|
||||
}
|
||||
# source must be a UvSource object (not null)
|
||||
uv_source_python_schema["properties"]["source"] = {"$ref": "#/$defs/UvSource"}
|
||||
uv_source_python_schema["properties"]["pip_installer"] = {
|
||||
"anyOf": [
|
||||
{"type": "string", "enum": ["auto", "pip", "uv"]},
|
||||
{"type": "null"},
|
||||
]
|
||||
}
|
||||
|
||||
# Add enum constraint for python_version
|
||||
if "python_version" in legacy_python_schema["properties"]:
|
||||
legacy_python_schema["properties"]["python_version"]["enum"] = [
|
||||
"3.11",
|
||||
"3.12",
|
||||
"3.13",
|
||||
]
|
||||
if "python_version" in uv_source_python_schema["properties"]:
|
||||
uv_source_python_schema["properties"]["python_version"]["enum"] = [
|
||||
"3.11",
|
||||
"3.12",
|
||||
"3.13",
|
||||
]
|
||||
if "python_version" in python_schema["properties"]:
|
||||
python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12", "3.13"]
|
||||
|
||||
# Create Node.js schema with node_version
|
||||
node_schema = {
|
||||
@@ -221,12 +186,6 @@ def generate_schema():
|
||||
},
|
||||
"required": ["node_version", "graphs"],
|
||||
}
|
||||
node_schema["properties"]["pip_installer"] = {
|
||||
"anyOf": [
|
||||
{"type": "string", "enum": ["auto", "pip", "uv"]},
|
||||
{"type": "null"},
|
||||
]
|
||||
}
|
||||
|
||||
# Add enum constraint for node_version
|
||||
if "node_version" in node_schema["properties"]:
|
||||
@@ -243,11 +202,7 @@ def generate_schema():
|
||||
]
|
||||
|
||||
# Replace the Config schema with a oneOf constraint
|
||||
config_schema["oneOf"] = [
|
||||
legacy_python_schema,
|
||||
uv_source_python_schema,
|
||||
node_schema,
|
||||
]
|
||||
config_schema["oneOf"] = [python_schema, node_schema]
|
||||
|
||||
# Remove the properties field as it's now defined in the oneOf subschemas
|
||||
if "properties" in config_schema:
|
||||
|
||||
@@ -21,16 +21,16 @@
|
||||
"test:all": "yarn test && yarn test:int && yarn lint:langgraph"
|
||||
},
|
||||
"dependencies": {
|
||||
"@langchain/core": "^1.1.38",
|
||||
"@langchain/langgraph": "^1.2.6"
|
||||
"@langchain/core": "^1.1.36",
|
||||
"@langchain/langgraph": "^1.2.5"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@eslint/eslintrc": "^3.3.5",
|
||||
"@eslint/js": "^10.0.1",
|
||||
"@tsconfig/recommended": "^1.0.13",
|
||||
"@types/jest": "^30.0.0",
|
||||
"@typescript-eslint/eslint-plugin": "^8.58.0",
|
||||
"@typescript-eslint/parser": "^8.58.0",
|
||||
"@typescript-eslint/eslint-plugin": "^8.57.2",
|
||||
"@typescript-eslint/parser": "^8.57.2",
|
||||
"dotenv": "^17.3.1",
|
||||
"eslint": "^10.1.0",
|
||||
"eslint-config-prettier": "^10.1.8",
|
||||
|
||||
+112
-91
@@ -890,10 +890,10 @@
|
||||
"@jridgewell/resolve-uri" "^3.1.0"
|
||||
"@jridgewell/sourcemap-codec" "^1.4.14"
|
||||
|
||||
"@langchain/core@^1.1.38":
|
||||
version "1.1.38"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
|
||||
integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
|
||||
"@langchain/core@^1.1.36":
|
||||
version "1.1.36"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.36.tgz#672d758e50e09fe402db2919ceb98b82cbca901b"
|
||||
integrity sha512-9NWsdzU3uZD13lJwunXK0t6SIwew+UwcbHggW5yUdaiMmzKeNkDpp1lRD6p49N8+D0Vv4qmQBEKB4Ukh2jfnvw==
|
||||
dependencies:
|
||||
"@cfworker/json-schema" "^4.0.2"
|
||||
"@standard-schema/spec" "^1.1.0"
|
||||
@@ -914,23 +914,23 @@
|
||||
dependencies:
|
||||
uuid "^10.0.0"
|
||||
|
||||
"@langchain/langgraph-sdk@~1.8.1":
|
||||
version "1.8.3"
|
||||
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|
||||
p-queue "^6.6.2"
|
||||
semver "^7.6.3"
|
||||
uuid "^10.0.0"
|
||||
|
||||
leven@^3.1.0:
|
||||
version "3.1.0"
|
||||
@@ -3991,7 +4007,7 @@ p-locate@^5.0.0:
|
||||
dependencies:
|
||||
p-limit "^3.0.2"
|
||||
|
||||
p-queue@6.6.2, p-queue@^6.6.2:
|
||||
p-queue@^6.6.2:
|
||||
version "6.6.2"
|
||||
resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
|
||||
integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
|
||||
@@ -4287,7 +4303,7 @@ semver@^6.3.1:
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
|
||||
integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
|
||||
|
||||
semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3:
|
||||
semver@^7.5.3, semver@^7.5.4, semver@^7.6.3, semver@^7.7.2, semver@^7.7.3:
|
||||
version "7.7.4"
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
|
||||
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|
||||
@@ -4395,6 +4411,11 @@ signal-exit@^4.0.1:
|
||||
resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.1.0.tgz#952188c1cbd546070e2dd20d0f41c0ae0530cb04"
|
||||
integrity sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==
|
||||
|
||||
simple-wcswidth@^1.1.2:
|
||||
version "1.1.2"
|
||||
resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
|
||||
integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
|
||||
|
||||
slash@^3.0.0:
|
||||
version "3.0.0"
|
||||
resolved "https://registry.yarnpkg.com/slash/-/slash-3.0.0.tgz#6539be870c165adbd5240220dbe361f1bc4d4634"
|
||||
@@ -4618,10 +4639,10 @@ to-regex-range@^5.0.1:
|
||||
dependencies:
|
||||
is-number "^7.0.0"
|
||||
|
||||
ts-api-utils@^2.5.0:
|
||||
version "2.5.0"
|
||||
resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
|
||||
integrity sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==
|
||||
ts-api-utils@^2.4.0:
|
||||
version "2.4.0"
|
||||
resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.4.0.tgz#2690579f96d2790253bdcf1ca35d569ad78f9ad8"
|
||||
integrity sha512-3TaVTaAv2gTiMB35i3FiGJaRfwb3Pyn/j3m/bfAvGe8FB7CF6u+LMYqYlDh7reQf7UNvoTvdfAqHGmPGOSsPmA==
|
||||
|
||||
ts-jest@^29.4.6:
|
||||
version "29.4.6"
|
||||
@@ -4849,7 +4870,7 @@ uri-js@^4.2.2:
|
||||
dependencies:
|
||||
punycode "^2.1.0"
|
||||
|
||||
uuid@10.0.0, uuid@^10.0.0:
|
||||
uuid@^10.0.0:
|
||||
version "10.0.0"
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
|
||||
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
|
||||
|
||||
@@ -9,8 +9,8 @@
|
||||
},
|
||||
"dependencies": {
|
||||
"@js-monorepo-example/shared": "*",
|
||||
"@langchain/core": "^1.1.38",
|
||||
"@langchain/langgraph": "^1.2.6"
|
||||
"@langchain/core": "^1.1.35",
|
||||
"@langchain/langgraph": "^1.2.5"
|
||||
},
|
||||
"devDependencies": {
|
||||
"typescript": "^5.9.3"
|
||||
|
||||
@@ -17,7 +17,7 @@
|
||||
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
|
||||
},
|
||||
"devDependencies": {
|
||||
"turbo": "^2.9.3",
|
||||
"turbo": "^2.8.20",
|
||||
"typescript": "^5.9.3",
|
||||
"@tsconfig/recommended": "^1.0.13",
|
||||
"@eslint/eslintrc": "^3.3.5",
|
||||
@@ -27,8 +27,8 @@
|
||||
"eslint-plugin-import": "^2.27.5",
|
||||
"eslint-plugin-no-instanceof": "^1.0.1",
|
||||
"eslint-plugin-prettier": "^5.5.5",
|
||||
"@typescript-eslint/eslint-plugin": "^8.58.0",
|
||||
"@typescript-eslint/parser": "^8.58.0",
|
||||
"@typescript-eslint/eslint-plugin": "^8.57.1",
|
||||
"@typescript-eslint/parser": "^8.57.1",
|
||||
"prettier": "^3.8.1"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -103,10 +103,10 @@
|
||||
resolved "https://registry.yarnpkg.com/@isaacs/cliui/-/cliui-9.0.0.tgz#4d0a3f127058043bf2e7ee169eaf30ed901302f3"
|
||||
integrity sha512-AokJm4tuBHillT+FpMtxQ60n8ObyXBatq7jD2/JA9dxbDDokKQm8KMht5ibGzLVU9IJDIKK4TPKgMHEYMn3lMg==
|
||||
|
||||
"@langchain/core@^1.1.38":
|
||||
version "1.1.38"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
|
||||
integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
|
||||
"@langchain/core@^1.1.35":
|
||||
version "1.1.35"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.35.tgz#4c681cc9af3d59d139f6272768dd30361dccd518"
|
||||
integrity sha512-TM0idLSAx17IEMqEIN7F8MDdXpN53p4A4vhhjZxf7LedwShB/8Zx1F5D5Nq1Bbn0zh9QDzSHpWyfCrTtggKf7g==
|
||||
dependencies:
|
||||
"@cfworker/json-schema" "^4.0.2"
|
||||
"@standard-schema/spec" "^1.1.0"
|
||||
@@ -127,23 +127,23 @@
|
||||
dependencies:
|
||||
uuid "^10.0.0"
|
||||
|
||||
"@langchain/langgraph-sdk@~1.8.1":
|
||||
version "1.8.3"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
|
||||
integrity sha512-Py0S5yVtlOHz410aEsSGLRKjtsK2giDvfPS1JjAjTdcs71khuJufFtUZFwmwdJCbsG4DaGurRLHOAJu9jO4a0g==
|
||||
"@langchain/langgraph-sdk@~1.8.0":
|
||||
version "1.8.0"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.0.tgz#aa62fd641a4ef964a57cea7a7c11e662e8082fb8"
|
||||
integrity sha512-TPowjgfLjRll4zUDiOUVgd8qLgSOhy5uHt0sWhpvxgQd+dcUs4x/3nKjrepSvmp24KQKbF6GJy6MaHBDj3Ubtw==
|
||||
dependencies:
|
||||
"@types/json-schema" "^7.0.15"
|
||||
p-queue "^9.0.1"
|
||||
p-retry "^7.1.1"
|
||||
uuid "^13.0.0"
|
||||
|
||||
"@langchain/langgraph@^1.2.6":
|
||||
version "1.2.6"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
|
||||
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|
||||
"@langchain/langgraph@^1.2.5":
|
||||
version "1.2.5"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.5.tgz#f4285b77baee945092795c2989bdd6589dc5b142"
|
||||
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|
||||
dependencies:
|
||||
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|
||||
"@langchain/langgraph-sdk" "~1.8.1"
|
||||
"@langchain/langgraph-sdk" "~1.8.0"
|
||||
"@standard-schema/spec" "1.1.0"
|
||||
uuid "^10.0.0"
|
||||
|
||||
@@ -167,35 +167,35 @@
|
||||
resolved "https://registry.yarnpkg.com/@tsconfig/recommended/-/recommended-1.0.13.tgz#269fce3ad04ca70b93269ff44cca81b950f542da"
|
||||
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|
||||
|
||||
"@turbo/darwin-64@2.9.3":
|
||||
version "2.9.3"
|
||||
resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.3.tgz#5d782d341ddebc20822d09ba1393238d4467ae7b"
|
||||
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|
||||
"@turbo/darwin-64@2.8.20":
|
||||
version "2.8.20"
|
||||
resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.8.20.tgz#6ebc903fbfe31db85f67b84af69e84822765cbf4"
|
||||
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|
||||
|
||||
"@turbo/darwin-arm64@2.9.3":
|
||||
version "2.9.3"
|
||||
resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.3.tgz#75cd662d9c2a572532ce82d7cae1a30e2497d693"
|
||||
integrity sha512-SIzEkvtNdzdI50FJDaIQ6kQGqgSSdFPcdn0wqmmONN6iGKjy6hsT+EH99GP65FsfV7DLZTh2NmtTIRl2kdoz5Q==
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"@turbo/darwin-arm64@2.8.20":
|
||||
version "2.8.20"
|
||||
resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.8.20.tgz#f02fdd818bfe610240c1a60865eeb9ca338160f5"
|
||||
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||||
|
||||
"@turbo/linux-64@2.9.3":
|
||||
version "2.9.3"
|
||||
resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.3.tgz#de693a996071654a0bea51c7ed9dc6fdc3950ae8"
|
||||
integrity sha512-pLRwFmcHHNBvsCySLS6OFabr/07kDT2pxEt/k6eBf/3asiVQZKJ7Rk88AafQx2aYA641qek4RsXvYO3JYpiBug==
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||||
"@turbo/linux-64@2.8.20":
|
||||
version "2.8.20"
|
||||
resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.8.20.tgz#51faba95b242731b0beae9811724b3eeee6aa0a1"
|
||||
integrity sha512-p2QxWUYyYUgUFG0b0kR+pPi8t7c9uaVlRtjTTI1AbCvVqkpjUfCcReBn6DgG/Hu8xrWdKLuyQFaLYFzQskZbcA==
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||||
|
||||
"@turbo/linux-arm64@2.9.3":
|
||||
version "2.9.3"
|
||||
resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.3.tgz#88fc6fe572d83c5488eeae9b564b57c335f4d856"
|
||||
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||||
"@turbo/linux-arm64@2.8.20":
|
||||
version "2.8.20"
|
||||
resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.8.20.tgz#4c466ec09a2c2e6513df94d703660bb6efa61614"
|
||||
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|
||||
|
||||
"@turbo/windows-64@2.9.3":
|
||||
version "2.9.3"
|
||||
resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.3.tgz#a7812e4f33972f74daed93b2ac8845f88a68c775"
|
||||
integrity sha512-d0YelTX6hAsB7kIEtGB3PzIzSfAg3yDoUlHwuwJc3adBXUsyUIs0YLG+1NNtuhcDOUGnWQeKUoJ2pGWvbpRj7w==
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"@turbo/windows-64@2.8.20":
|
||||
version "2.8.20"
|
||||
resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.8.20.tgz#b8f23ff1d5ddf9b1abe41db2b1cb35b13066c063"
|
||||
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|
||||
"@turbo/windows-arm64@2.9.3":
|
||||
version "2.9.3"
|
||||
resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.3.tgz#1891a89fe87d501e63a7a4367082f3afec18fa6f"
|
||||
integrity sha512-/08CwpKJl3oRY8nOlh2YgilZVJDHsr60XTNxRhuDeuFXONpUZ5X+Nv65izbG/xBew9qxcJFbDX9/sAmAX+ITcQ==
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||||
"@turbo/windows-arm64@2.8.20":
|
||||
version "2.8.20"
|
||||
resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.8.20.tgz#8032d42c6cfd954d3c381720d5a65dc3e7ea3014"
|
||||
integrity sha512-voicVULvUV5yaGXo0Iue13BcHGYW3u0VgqSbfQwBaHbpj1zLjYV4KIe+7fYIo6DO8FVUJzxFps3ODCQG/Wy2Qw==
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||||
|
||||
"@types/esrecurse@^4.3.1":
|
||||
version "4.3.1"
|
||||
@@ -217,100 +217,105 @@
|
||||
resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
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version "8.58.0"
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|
||||
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"@types/uuid@^10.0.0":
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||||
version "10.0.0"
|
||||
resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
|
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|
||||
version "8.57.1"
|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
ignore "^7.0.5"
|
||||
natural-compare "^1.4.0"
|
||||
ts-api-utils "^2.5.0"
|
||||
ts-api-utils "^2.4.0"
|
||||
|
||||
"@typescript-eslint/parser@^8.58.0":
|
||||
version "8.58.0"
|
||||
resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.58.0.tgz#da04ece1967b6c2fe8f10c3473dabf3825795ef7"
|
||||
integrity sha512-rLoGZIf9afaRBYsPUMtvkDWykwXwUPL60HebR4JgTI8mxfFe2cQTu3AGitANp4b9B2QlVru6WzjgB2IzJKiCSA==
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|
||||
version "8.57.1"
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||||
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eslint-visitor-keys "^5.0.0"
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||||
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||||
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||||
@@ -338,6 +343,13 @@ ajv@^6.14.0:
|
||||
json-schema-traverse "^0.4.1"
|
||||
uri-js "^4.2.2"
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||||
ansi-styles@^4.1.0:
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version "4.3.0"
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resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-4.3.0.tgz#edd803628ae71c04c85ae7a0906edad34b648937"
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resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-5.2.0.tgz#07449690ad45777d1924ac2abb2fc8895dba836b"
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@@ -496,11 +508,38 @@ camelcase@6:
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ansi-styles "^4.1.0"
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||||
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||||
color-convert@^2.0.1:
|
||||
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||||
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concat-map@0.0.1:
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console-table-printer@^2.12.1:
|
||||
version "2.14.6"
|
||||
resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.14.6.tgz#edfe0bf311fa2701922ed509443145ab51e06436"
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integrity sha512-MCBl5HNVaFuuHW6FGbL/4fB7N/ormCy+tQ+sxTrF6QtSbSNETvPuOVbkJBhzDgYhvjWGrTma4eYJa37ZuoQsPw==
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dependencies:
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||||
simple-wcswidth "^1.0.1"
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||||
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||||
cross-spawn@^7.0.6:
|
||||
version "7.0.6"
|
||||
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|
||||
@@ -1020,6 +1059,11 @@ has-bigints@^1.0.2:
|
||||
resolved "https://registry.yarnpkg.com/has-bigints/-/has-bigints-1.1.0.tgz#28607e965ac967e03cd2a2c70a2636a1edad49fe"
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integrity sha512-R3pbpkcIqv2Pm3dUwgjclDRVmWpTJW2DcMzcIhEXEx1oh/CEMObMm3KLmRJOdvhM7o4uQBnwr8pzRK2sJWIqfg==
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has-flag@^4.0.0:
|
||||
version "4.0.0"
|
||||
resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-4.0.0.tgz#944771fd9c81c81265c4d6941860da06bb59479b"
|
||||
integrity sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==
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|
||||
has-property-descriptors@^1.0.0, has-property-descriptors@^1.0.2:
|
||||
version "1.0.2"
|
||||
resolved "https://registry.yarnpkg.com/has-property-descriptors/-/has-property-descriptors-1.0.2.tgz#963ed7d071dc7bf5f084c5bfbe0d1b6222586854"
|
||||
@@ -1328,12 +1372,16 @@ keyv@^4.5.4:
|
||||
json-buffer "3.0.1"
|
||||
|
||||
"langsmith@>=0.5.0 <1.0.0":
|
||||
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|
||||
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
|
||||
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|
||||
version "0.5.4"
|
||||
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
|
||||
integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
|
||||
dependencies:
|
||||
p-queue "6.6.2"
|
||||
uuid "10.0.0"
|
||||
"@types/uuid" "^10.0.0"
|
||||
chalk "^4.1.2"
|
||||
console-table-printer "^2.12.1"
|
||||
p-queue "^6.6.2"
|
||||
semver "^7.6.3"
|
||||
uuid "^10.0.0"
|
||||
|
||||
levn@^0.4.1:
|
||||
version "0.4.1"
|
||||
@@ -1480,7 +1528,7 @@ p-locate@^5.0.0:
|
||||
dependencies:
|
||||
p-limit "^3.0.2"
|
||||
|
||||
p-queue@6.6.2, p-queue@^6.6.2:
|
||||
p-queue@^6.6.2:
|
||||
version "6.6.2"
|
||||
resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
|
||||
integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
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||||
@@ -1642,6 +1690,11 @@ semver@^6.3.1:
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
|
||||
integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
|
||||
|
||||
semver@^7.6.3:
|
||||
version "7.7.2"
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.2.tgz#67d99fdcd35cec21e6f8b87a7fd515a33f982b58"
|
||||
integrity sha512-RF0Fw+rO5AMf9MAyaRXI4AV0Ulj5lMHqVxxdSgiVbixSCXoEmmX/jk0CuJw4+3SqroYO9VoUh+HcuJivvtJemA==
|
||||
|
||||
semver@^7.7.3:
|
||||
version "7.7.4"
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
|
||||
@@ -1730,6 +1783,11 @@ side-channel@^1.1.0:
|
||||
side-channel-map "^1.0.1"
|
||||
side-channel-weakmap "^1.0.2"
|
||||
|
||||
simple-wcswidth@^1.0.1:
|
||||
version "1.1.2"
|
||||
resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
|
||||
integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
|
||||
|
||||
stop-iteration-iterator@^1.1.0:
|
||||
version "1.1.0"
|
||||
resolved "https://registry.yarnpkg.com/stop-iteration-iterator/-/stop-iteration-iterator-1.1.0.tgz#f481ff70a548f6124d0312c3aa14cbfa7aa542ad"
|
||||
@@ -1780,6 +1838,13 @@ strip-json-comments@^3.1.1:
|
||||
resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-3.1.1.tgz#31f1281b3832630434831c310c01cccda8cbe006"
|
||||
integrity sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig==
|
||||
|
||||
supports-color@^7.1.0:
|
||||
version "7.2.0"
|
||||
resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-7.2.0.tgz#1b7dcdcb32b8138801b3e478ba6a51caa89648da"
|
||||
integrity sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==
|
||||
dependencies:
|
||||
has-flag "^4.0.0"
|
||||
|
||||
supports-preserve-symlinks-flag@^1.0.0:
|
||||
version "1.0.0"
|
||||
resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
|
||||
@@ -1800,10 +1865,10 @@ tinyglobby@^0.2.15:
|
||||
fdir "^6.5.0"
|
||||
picomatch "^4.0.3"
|
||||
|
||||
ts-api-utils@^2.5.0:
|
||||
version "2.5.0"
|
||||
resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
|
||||
integrity sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==
|
||||
ts-api-utils@^2.4.0:
|
||||
version "2.4.0"
|
||||
resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.4.0.tgz#2690579f96d2790253bdcf1ca35d569ad78f9ad8"
|
||||
integrity sha512-3TaVTaAv2gTiMB35i3FiGJaRfwb3Pyn/j3m/bfAvGe8FB7CF6u+LMYqYlDh7reQf7UNvoTvdfAqHGmPGOSsPmA==
|
||||
|
||||
tsconfig-paths@^3.15.0:
|
||||
version "3.15.0"
|
||||
@@ -1815,17 +1880,17 @@ tsconfig-paths@^3.15.0:
|
||||
minimist "^1.2.6"
|
||||
strip-bom "^3.0.0"
|
||||
|
||||
turbo@^2.9.3:
|
||||
version "2.9.3"
|
||||
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.3.tgz#4f0adf2c8677edd7b46d400629c99e9e26e58e44"
|
||||
integrity sha512-J/VUvsGRykPb9R8Kh8dHVBOqioDexLk9BhLCU/ZybRR+HN9UR3cURdazFvNgMDt9zPP8TF6K73Z+tplfmi0PqQ==
|
||||
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==
|
||||
optionalDependencies:
|
||||
"@turbo/darwin-64" "2.9.3"
|
||||
"@turbo/darwin-arm64" "2.9.3"
|
||||
"@turbo/linux-64" "2.9.3"
|
||||
"@turbo/linux-arm64" "2.9.3"
|
||||
"@turbo/windows-64" "2.9.3"
|
||||
"@turbo/windows-arm64" "2.9.3"
|
||||
"@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"
|
||||
|
||||
type-check@^0.4.0, type-check@~0.4.0:
|
||||
version "0.4.0"
|
||||
@@ -1901,7 +1966,7 @@ uri-js@^4.2.2:
|
||||
dependencies:
|
||||
punycode "^2.1.0"
|
||||
|
||||
uuid@10.0.0, uuid@^10.0.0:
|
||||
uuid@^10.0.0:
|
||||
version "10.0.0"
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
|
||||
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
|
||||
|
||||
@@ -1 +1 @@
|
||||
__version__ = "0.4.24"
|
||||
__version__ = "0.4.19"
|
||||
|
||||
@@ -1,124 +0,0 @@
|
||||
"""Shared ignore-file handling for local source filtering."""
|
||||
|
||||
import pathlib
|
||||
from dataclasses import dataclass
|
||||
|
||||
import pathspec
|
||||
|
||||
_ALWAYS_EXCLUDE = [
|
||||
"__pycache__/",
|
||||
".git/",
|
||||
".venv/",
|
||||
"venv/",
|
||||
"node_modules/",
|
||||
".tox/",
|
||||
".mypy_cache/",
|
||||
]
|
||||
_ALWAYS_EXCLUDE_NAMES = frozenset(
|
||||
pattern.rstrip("/").split("/")[-1] for pattern in _ALWAYS_EXCLUDE
|
||||
)
|
||||
_GLOB_CHARS = frozenset("*?[")
|
||||
|
||||
|
||||
@dataclass(frozen=True, slots=True)
|
||||
class _NegatedDockerignoreHints:
|
||||
exact_dirs: frozenset[pathlib.PurePosixPath] = frozenset()
|
||||
wildcard_prefixes: frozenset[pathlib.PurePosixPath] = frozenset()
|
||||
recurse_all: bool = False
|
||||
|
||||
def requires_dir_walk(self, path: pathlib.PurePosixPath) -> bool:
|
||||
if self.recurse_all or path in self.exact_dirs:
|
||||
return True
|
||||
return any(
|
||||
path == prefix or path in prefix.parents or prefix in path.parents
|
||||
for prefix in self.wildcard_prefixes
|
||||
)
|
||||
|
||||
|
||||
def _build_ignore_spec(
|
||||
directory: pathlib.Path, *, include_gitignore: bool = True
|
||||
) -> pathspec.PathSpec:
|
||||
"""Build a PathSpec combining built-in exclusions with ignore files.
|
||||
|
||||
Always excludes common non-source directories (`_ALWAYS_EXCLUDE`). On top
|
||||
of that, patterns from `.dockerignore` are merged in. `.gitignore` patterns
|
||||
are optional because some callers need Docker build-context semantics,
|
||||
while archive creation wants both files.
|
||||
"""
|
||||
lines: list[str] = list(_ALWAYS_EXCLUDE)
|
||||
ignore_files = [".dockerignore"]
|
||||
if include_gitignore:
|
||||
ignore_files.append(".gitignore")
|
||||
for name in ignore_files:
|
||||
ignore_file = directory / name
|
||||
if ignore_file.is_file():
|
||||
lines.extend(ignore_file.read_text(encoding="utf-8").splitlines())
|
||||
return pathspec.PathSpec.from_lines("gitwildmatch", lines)
|
||||
|
||||
|
||||
def _is_always_excluded(path: pathlib.PurePosixPath, *, is_dir: bool) -> bool:
|
||||
"""Whether `path` lives inside a built-in excluded directory."""
|
||||
parent_parts = path.parts if is_dir else path.parts[:-1]
|
||||
return any(part in _ALWAYS_EXCLUDE_NAMES for part in parent_parts)
|
||||
|
||||
|
||||
def _build_dockerignore_negation_hints(
|
||||
directory: pathlib.Path,
|
||||
) -> _NegatedDockerignoreHints:
|
||||
"""Summarize which ignored directories must still be traversed.
|
||||
|
||||
Most negations only require walking a small, concrete chain of parent
|
||||
directories (for example `!assets/keep.txt` requires entering `assets/`).
|
||||
Broader glob negations may force a wider walk.
|
||||
"""
|
||||
ignore_file = directory / ".dockerignore"
|
||||
if not ignore_file.is_file():
|
||||
return _NegatedDockerignoreHints()
|
||||
|
||||
exact_dirs: set[pathlib.PurePosixPath] = set()
|
||||
wildcard_prefixes: set[pathlib.PurePosixPath] = set()
|
||||
recurse_all = False
|
||||
|
||||
for raw_line in ignore_file.read_text(encoding="utf-8").splitlines():
|
||||
line = raw_line.strip()
|
||||
if not line or line.startswith("#") or line.startswith("\\!"):
|
||||
continue
|
||||
if line.startswith("\\#"):
|
||||
line = line[1:]
|
||||
if not line.startswith("!"):
|
||||
continue
|
||||
|
||||
pattern = line[1:].lstrip("/")
|
||||
while pattern.startswith("./"):
|
||||
pattern = pattern[2:]
|
||||
pattern = pattern.rstrip("/")
|
||||
parts = [part for part in pattern.split("/") if part and part != "."]
|
||||
if not parts:
|
||||
recurse_all = True
|
||||
continue
|
||||
|
||||
wildcard_index = next(
|
||||
(
|
||||
idx
|
||||
for idx, part in enumerate(parts)
|
||||
if any(char in part for char in _GLOB_CHARS)
|
||||
),
|
||||
None,
|
||||
)
|
||||
if wildcard_index is not None:
|
||||
literal_parts = parts[:wildcard_index]
|
||||
if not literal_parts:
|
||||
recurse_all = True
|
||||
continue
|
||||
wildcard_prefixes.add(pathlib.PurePosixPath(*literal_parts))
|
||||
continue
|
||||
|
||||
parent_parts = parts[:-1]
|
||||
for idx in range(1, len(parent_parts) + 1):
|
||||
exact_dirs.add(pathlib.PurePosixPath(*parent_parts[:idx]))
|
||||
|
||||
return _NegatedDockerignoreHints(
|
||||
exact_dirs=frozenset(exact_dirs),
|
||||
wildcard_prefixes=frozenset(wildcard_prefixes),
|
||||
recurse_all=recurse_all,
|
||||
)
|
||||
@@ -26,15 +26,8 @@ class LogData(TypedDict):
|
||||
params: dict[str, Any]
|
||||
|
||||
|
||||
def get_anonymized_params(
|
||||
kwargs: dict[str, Any], *, cli_command: str
|
||||
) -> dict[str, bool | str]:
|
||||
params: dict[str, bool | str] = {}
|
||||
|
||||
if cli_command == "deploy" and (
|
||||
analytics_source := os.getenv("LANGGRAPH_CLI_ANALYTICS_SOURCE")
|
||||
):
|
||||
params["source"] = analytics_source
|
||||
def get_anonymized_params(kwargs: dict[str, Any]) -> dict[str, bool]:
|
||||
params = {}
|
||||
|
||||
# anonymize params with values
|
||||
if config := kwargs.get("config"):
|
||||
@@ -95,7 +88,7 @@ def log_command(func):
|
||||
"python_version": platform.python_version(),
|
||||
"cli_version": __version__,
|
||||
"cli_command": func.__name__,
|
||||
"params": get_anonymized_params(kwargs, cli_command=func.__name__),
|
||||
"params": get_anonymized_params(kwargs),
|
||||
}
|
||||
|
||||
background_thread = threading.Thread(target=log_data, args=(data,))
|
||||
|
||||
@@ -1,138 +0,0 @@
|
||||
"""Create a tarball of project source for remote builds."""
|
||||
|
||||
import os
|
||||
import pathlib
|
||||
import tarfile
|
||||
import tempfile
|
||||
from contextlib import contextmanager
|
||||
|
||||
import click
|
||||
import pathspec
|
||||
|
||||
from langgraph_cli._ignore import _build_ignore_spec
|
||||
from langgraph_cli.config import Config, _assemble_local_deps
|
||||
|
||||
_WARN_SIZE = 50 * 1024 * 1024 # 50 MB
|
||||
_MAX_SIZE = 200 * 1024 * 1024 # 200 MB
|
||||
|
||||
|
||||
def _tar_filter(tarinfo: tarfile.TarInfo) -> tarfile.TarInfo | None:
|
||||
"""Strip symlinks, hardlinks, and traversal paths from archive."""
|
||||
if tarinfo.issym() or tarinfo.islnk():
|
||||
return None
|
||||
if ".." in tarinfo.name.split("/"):
|
||||
return None
|
||||
return tarinfo
|
||||
|
||||
|
||||
def _add_directory(
|
||||
tar: tarfile.TarFile,
|
||||
source_dir: pathlib.Path,
|
||||
arcname_prefix: str | None,
|
||||
ignore_spec: pathspec.PathSpec,
|
||||
) -> None:
|
||||
"""Recursively add a directory to the tarball under the given prefix.
|
||||
|
||||
If arcname_prefix is None, files are added at the archive root.
|
||||
Paths matching ignore_spec are excluded.
|
||||
"""
|
||||
for root, dirs, files in os.walk(source_dir):
|
||||
rel_root = os.path.relpath(root, source_dir).replace(os.sep, "/")
|
||||
dirs[:] = [
|
||||
d
|
||||
for d in dirs
|
||||
if not ignore_spec.match_file(
|
||||
f"{rel_root}/{d}/" if rel_root != "." else f"{d}/"
|
||||
)
|
||||
]
|
||||
for f in files:
|
||||
full_path = os.path.join(root, f)
|
||||
rel = os.path.relpath(full_path, source_dir).replace(os.sep, "/")
|
||||
if ignore_spec.match_file(rel):
|
||||
continue
|
||||
arcname = f"{arcname_prefix}/{rel}" if arcname_prefix else rel
|
||||
info = tar.gettarinfo(full_path, arcname=arcname)
|
||||
filtered = _tar_filter(info)
|
||||
if filtered is None:
|
||||
continue
|
||||
with open(full_path, "rb") as fobj:
|
||||
tar.addfile(filtered, fobj)
|
||||
|
||||
|
||||
@contextmanager
|
||||
def create_archive(
|
||||
config_path: pathlib.Path,
|
||||
config: Config,
|
||||
):
|
||||
"""Context manager that creates a .tar.gz archive of the project source.
|
||||
|
||||
Uses _assemble_local_deps to discover local dependencies referenced in
|
||||
langgraph.json, including those outside config.parent (monorepo case).
|
||||
|
||||
The archive preserves the real filesystem layout relative to the common
|
||||
ancestor of config.parent and all external dependency directories, so that
|
||||
relative references (e.g. `../shared-lib`) resolve correctly after
|
||||
extraction.
|
||||
|
||||
Yields (archive_path, file_size, config_relative_path). The temporary
|
||||
directory holding the archive is cleaned up automatically on exit.
|
||||
"""
|
||||
config_path = config_path.resolve()
|
||||
context_dir = config_path.parent
|
||||
|
||||
local_deps = _assemble_local_deps(config_path, config)
|
||||
extra_contexts = local_deps.additional_contexts or []
|
||||
|
||||
dirs_to_include = [context_dir] + list(extra_contexts)
|
||||
|
||||
common = context_dir
|
||||
for d in extra_contexts:
|
||||
common = pathlib.Path(os.path.commonpath([common, d]))
|
||||
|
||||
tmp_dir = tempfile.mkdtemp(prefix="langgraph-deploy-")
|
||||
try:
|
||||
archive_path = os.path.join(tmp_dir, "source.tar.gz")
|
||||
|
||||
added_dirs: set[str] = set()
|
||||
with tarfile.open(archive_path, "w:gz") as tar:
|
||||
for dir_path in dirs_to_include:
|
||||
rel = dir_path.relative_to(common)
|
||||
prefix = str(rel).replace(os.sep, "/") if str(rel) != "." else None
|
||||
key = prefix or ""
|
||||
if key in added_dirs:
|
||||
continue
|
||||
added_dirs.add(key)
|
||||
ignore_spec = _build_ignore_spec(dir_path)
|
||||
_add_directory(
|
||||
tar, dir_path, arcname_prefix=prefix, ignore_spec=ignore_spec
|
||||
)
|
||||
|
||||
file_size = os.path.getsize(archive_path)
|
||||
|
||||
config_rel = str(config_path.relative_to(common)).replace(os.sep, "/")
|
||||
|
||||
with tarfile.open(archive_path, "r:gz") as tar:
|
||||
names = tar.getnames()
|
||||
if config_rel not in names:
|
||||
raise click.ClickException(
|
||||
f"Archive validation failed: {config_rel} not found in archive"
|
||||
)
|
||||
|
||||
if file_size > _MAX_SIZE:
|
||||
raise click.ClickException(
|
||||
f"Source archive is {file_size / 1_048_576:.1f} MB, which exceeds the 200 MB limit. "
|
||||
"Add large files to .dockerignore or .gitignore (model weights, data sets, etc.)."
|
||||
)
|
||||
|
||||
if file_size > _WARN_SIZE:
|
||||
click.secho(
|
||||
f" Warning: source archive is {file_size / 1_048_576:.1f} MB. "
|
||||
"Consider adding large files to .dockerignore or .gitignore.",
|
||||
fg="yellow",
|
||||
)
|
||||
|
||||
yield archive_path, file_size, config_rel
|
||||
finally:
|
||||
import shutil
|
||||
|
||||
shutil.rmtree(tmp_dir, ignore_errors=True)
|
||||
+1112
-89
File diff suppressed because it is too large
Load Diff
+129
-271
@@ -3,7 +3,6 @@ import json
|
||||
import os
|
||||
import pathlib
|
||||
import re
|
||||
import shlex
|
||||
import textwrap
|
||||
from collections import Counter
|
||||
from typing import Literal, NamedTuple
|
||||
@@ -11,7 +10,6 @@ from typing import Literal, NamedTuple
|
||||
import click
|
||||
|
||||
from langgraph_cli.schemas import Config, Distros
|
||||
from langgraph_cli.uv_lock import python_config_to_docker_uv_lock
|
||||
|
||||
MIN_NODE_VERSION = "20"
|
||||
DEFAULT_NODE_VERSION = "20"
|
||||
@@ -141,14 +139,6 @@ def _is_node_graph(spec: str | dict) -> bool:
|
||||
]
|
||||
|
||||
|
||||
def _get_source_kind(config: Config) -> str | None:
|
||||
source = config.get("source")
|
||||
if not isinstance(source, dict):
|
||||
return None
|
||||
kind = source.get("kind")
|
||||
return kind if isinstance(kind, str) else None
|
||||
|
||||
|
||||
def validate_config(config: Config) -> Config:
|
||||
"""Validate a configuration dictionary."""
|
||||
|
||||
@@ -167,8 +157,6 @@ def validate_config(config: Config) -> Config:
|
||||
image_distro = config.get("image_distro", DEFAULT_IMAGE_DISTRO)
|
||||
internal_docker_tag = config.get("_INTERNAL_docker_tag")
|
||||
api_version = config.get("api_version")
|
||||
legacy_project_root = config.get("project_root")
|
||||
legacy_package = config.get("package")
|
||||
if internal_docker_tag:
|
||||
if api_version:
|
||||
raise click.UsageError(
|
||||
@@ -182,18 +170,13 @@ def validate_config(config: Config) -> Config:
|
||||
"Version must be major or major.minor or major.minor.patch."
|
||||
)
|
||||
except TypeError:
|
||||
raise click.UsageError(
|
||||
f"Invalid version format: {api_version}.\n\n"
|
||||
"Pin to a minor version, e.g.:\n"
|
||||
' "api_version": "0.8"'
|
||||
) from None
|
||||
raise click.UsageError(f"Invalid version format: {api_version}") from None
|
||||
|
||||
config = {
|
||||
"node_version": node_version,
|
||||
"python_version": python_version,
|
||||
"pip_config_file": config.get("pip_config_file"),
|
||||
"pip_installer": config.get("pip_installer", "auto"),
|
||||
"source": config.get("source"),
|
||||
"base_image": config.get("base_image"),
|
||||
"image_distro": image_distro,
|
||||
"dependencies": config.get("dependencies", []),
|
||||
@@ -224,51 +207,25 @@ def validate_config(config: Config) -> Config:
|
||||
if major < min_major:
|
||||
raise click.UsageError(
|
||||
f"Node.js version {node_version} is not supported. "
|
||||
f"Minimum required version is {MIN_NODE_VERSION}.\n\n"
|
||||
f"Set node_version to {MIN_NODE_VERSION} or higher:\n"
|
||||
f' "node_version": "{MIN_NODE_VERSION}"'
|
||||
f"Minimum required version is {MIN_NODE_VERSION}."
|
||||
)
|
||||
except ValueError as e:
|
||||
raise click.UsageError(str(e)) from None
|
||||
|
||||
if pip_installer := config.get("pip_installer"):
|
||||
if pip_installer not in ["auto", "pip", "uv"]:
|
||||
raise click.UsageError(
|
||||
f"Invalid pip_installer: '{pip_installer}'. "
|
||||
"Consider using uv-based source management instead:\n\n"
|
||||
' "source": {"kind": "uv", "root": ".."}'
|
||||
)
|
||||
|
||||
source = config.get("source")
|
||||
source_kind = _get_source_kind(config)
|
||||
if source is not None and not isinstance(source, dict):
|
||||
raise click.UsageError(
|
||||
"`source` must be an object, e.g.:\n"
|
||||
' "source": {"kind": "uv", "root": ".."}'
|
||||
)
|
||||
if source is not None and source_kind != "uv":
|
||||
raise click.UsageError(
|
||||
"Invalid source.kind. The only supported value is 'uv':\n"
|
||||
' "source": {"kind": "uv", "root": ".."}'
|
||||
)
|
||||
|
||||
if config.get("python_version"):
|
||||
pyversion = config["python_version"]
|
||||
if not pyversion.count(".") == 1 or not all(
|
||||
part.isdigit() for part in pyversion.split("-")[0].split(".")
|
||||
):
|
||||
parts = pyversion.split("-")[0].split(".")
|
||||
fix = f"{parts[0]}.{parts[1]}" if len(parts) >= 2 else MIN_PYTHON_VERSION
|
||||
raise click.UsageError(
|
||||
f"Invalid Python version format: {pyversion}. "
|
||||
"Use 'major.minor' format — patch version cannot be specified.\n\n"
|
||||
f' "python_version": "{fix}"'
|
||||
"Use 'major.minor' format (e.g., '3.11'). "
|
||||
"Patch version cannot be specified."
|
||||
)
|
||||
if _parse_version(pyversion) < _parse_version(MIN_PYTHON_VERSION):
|
||||
raise click.UsageError(
|
||||
f"Python version {pyversion} is not supported. "
|
||||
f"Minimum required version is {MIN_PYTHON_VERSION}.\n\n"
|
||||
f' "python_version": "{MIN_PYTHON_VERSION}"'
|
||||
f"Minimum required version is {MIN_PYTHON_VERSION}."
|
||||
)
|
||||
if "bullseye" in pyversion:
|
||||
raise click.UsageError(
|
||||
@@ -276,19 +233,15 @@ def validate_config(config: Config) -> Config:
|
||||
"Please use 'bookworm' or 'debian' instead."
|
||||
)
|
||||
|
||||
if source_kind != "uv" and not config["dependencies"]:
|
||||
if not config["dependencies"]:
|
||||
raise click.UsageError(
|
||||
"No dependencies found in config. "
|
||||
"Consider using uv-based source management:\n\n"
|
||||
' "source": {"kind": "uv", "root": ".."}'
|
||||
"Add at least one dependency to 'dependencies' list."
|
||||
)
|
||||
|
||||
if not config.get("graphs"):
|
||||
raise click.UsageError(
|
||||
"No graphs found in config. Add at least one graph, e.g.:\n"
|
||||
' "graphs": {\n'
|
||||
' "agent": "./my_agent/graph.py:graph"\n'
|
||||
" }"
|
||||
"No graphs found in config. Add at least one graph to 'graphs' dictionary."
|
||||
)
|
||||
|
||||
# Validate image_distro config
|
||||
@@ -301,47 +254,16 @@ def validate_config(config: Config) -> Config:
|
||||
if image_distro not in Distros.__args__:
|
||||
raise click.UsageError(
|
||||
f"Invalid image_distro: '{image_distro}'. "
|
||||
f"Must be one of: {', '.join(repr(d) for d in Distros.__args__)}.\n\n"
|
||||
' "image_distro": "wolfi" (recommended)'
|
||||
"Must be one of 'debian', 'wolfi', or 'bookworm'."
|
||||
)
|
||||
|
||||
if source_kind == "uv":
|
||||
errors: list[str] = []
|
||||
if not config.get("python_version"):
|
||||
errors.append(
|
||||
"source.kind 'uv' requires `python_version` — "
|
||||
"it is a Python-only deployment mode. "
|
||||
"Node.js-only graphs are not supported."
|
||||
)
|
||||
if config["dependencies"]:
|
||||
errors.append(
|
||||
"Remove `dependencies` from your config. With "
|
||||
'`source.kind = "uv"`, all dependencies '
|
||||
"are read from your pyproject.toml and uv.lock instead."
|
||||
)
|
||||
root = source.get("root", ".") if source else "."
|
||||
if not isinstance(root, str):
|
||||
errors.append(f"`source.root` must be a string, got {type(root).__name__}.")
|
||||
elif not root.strip():
|
||||
errors.append('`source.root` must be a non-empty string. Use `"."`.')
|
||||
package_name = source.get("package") if source else None
|
||||
if package_name is not None and (
|
||||
not isinstance(package_name, str) or not package_name.strip()
|
||||
):
|
||||
errors.append("`source.package` must be a non-empty string.")
|
||||
if errors:
|
||||
detail = "\n".join(f" - {e}" for e in errors)
|
||||
if pip_installer := config.get("pip_installer"):
|
||||
if pip_installer not in ["auto", "pip", "uv"]:
|
||||
raise click.UsageError(
|
||||
"source.kind 'uv' requires a different "
|
||||
f"config shape than dependency-based installs:\n{detail}"
|
||||
f"Invalid pip_installer: '{pip_installer}'. "
|
||||
"Must be 'auto', 'pip', or 'uv'."
|
||||
)
|
||||
|
||||
if legacy_project_root or legacy_package:
|
||||
raise click.UsageError(
|
||||
"Top-level `project_root` and `package` are no longer supported. "
|
||||
"Use `source.root` and `source.package` instead."
|
||||
)
|
||||
|
||||
# Validate auth config
|
||||
if auth_conf := config.get("auth"):
|
||||
if "path" in auth_conf:
|
||||
@@ -384,51 +306,6 @@ def validate_config(config: Config) -> Config:
|
||||
return config
|
||||
|
||||
|
||||
# Keys recognized by validate_config (used to detect unknown fields).
|
||||
_KNOWN_CONFIG_KEYS = {
|
||||
"python_version",
|
||||
"node_version",
|
||||
"api_version",
|
||||
"base_image",
|
||||
"image_distro",
|
||||
"pip_config_file",
|
||||
"pip_installer",
|
||||
"source",
|
||||
"dependencies",
|
||||
"dockerfile_lines",
|
||||
"graphs",
|
||||
"env",
|
||||
"store",
|
||||
"auth",
|
||||
"encryption",
|
||||
"http",
|
||||
"webhooks",
|
||||
"checkpointer",
|
||||
"ui",
|
||||
"ui_config",
|
||||
"keep_pkg_tools",
|
||||
# Internal / legacy (still recognized, may error separately)
|
||||
"_INTERNAL_docker_tag",
|
||||
"project_root",
|
||||
"package",
|
||||
}
|
||||
|
||||
|
||||
def get_unknown_keys(raw_config: dict) -> list[str]:
|
||||
"""Return warnings for unrecognized top-level keys (typos, etc.)."""
|
||||
import difflib
|
||||
|
||||
unknown = set(raw_config) - _KNOWN_CONFIG_KEYS
|
||||
warnings: list[str] = []
|
||||
for key in sorted(unknown):
|
||||
close = difflib.get_close_matches(key, _KNOWN_CONFIG_KEYS, n=1)
|
||||
if close:
|
||||
warnings.append(f"Unknown key '{key}' — did you mean '{close[0]}'?")
|
||||
else:
|
||||
warnings.append(f"Unknown key '{key}' is not a recognized config field.")
|
||||
return warnings
|
||||
|
||||
|
||||
def validate_config_file(config_path: pathlib.Path) -> Config:
|
||||
"""Load and validate a configuration file."""
|
||||
with open(config_path) as f:
|
||||
@@ -930,65 +807,9 @@ def _update_http_app_path(
|
||||
http_config["app"] = f"{module_str}:{attr_str}"
|
||||
|
||||
|
||||
def _build_python_install_commands(
|
||||
config: Config, install_cmd: str
|
||||
) -> tuple[str, str, str]:
|
||||
base_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
|
||||
local_reqs_pip_install = base_install
|
||||
global_reqs_pip_install = base_install
|
||||
|
||||
if config.get("pip_config_file"):
|
||||
local_reqs_pip_install = (
|
||||
f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
|
||||
)
|
||||
global_reqs_pip_install = (
|
||||
f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
|
||||
)
|
||||
|
||||
pip_config_file_str = (
|
||||
f"ADD {config['pip_config_file']} /pipconfig.txt"
|
||||
if config.get("pip_config_file")
|
||||
else ""
|
||||
)
|
||||
return local_reqs_pip_install, global_reqs_pip_install, pip_config_file_str
|
||||
|
||||
|
||||
def _build_runtime_env_vars(config: Config) -> list[str]:
|
||||
env_vars = []
|
||||
|
||||
if (store_config := config.get("store")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
|
||||
|
||||
if (auth_config := config.get("auth")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
|
||||
|
||||
if (encryption_config := config.get("encryption")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
|
||||
|
||||
if (http_config := config.get("http")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
|
||||
|
||||
if (webhooks_config := config.get("webhooks")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
|
||||
|
||||
if (checkpointer_config := config.get("checkpointer")) is not None:
|
||||
env_vars.append(
|
||||
f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
|
||||
)
|
||||
|
||||
if (ui := config.get("ui")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
|
||||
|
||||
if (ui_config := config.get("ui_config")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
|
||||
|
||||
env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
|
||||
return env_vars
|
||||
|
||||
|
||||
def _get_node_pm_install_cmd(project_dir: pathlib.Path) -> str:
|
||||
def _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> str:
|
||||
def test_file(file_name):
|
||||
full_path = project_dir / file_name
|
||||
full_path = config_path.parent / file_name
|
||||
try:
|
||||
return full_path.is_file()
|
||||
except OSError:
|
||||
@@ -997,7 +818,7 @@ def _get_node_pm_install_cmd(project_dir: pathlib.Path) -> str:
|
||||
# inspired by `package-manager-detector`
|
||||
def get_pkg_manager_name():
|
||||
try:
|
||||
with open(project_dir / "package.json") as f:
|
||||
with open(config_path.parent / "package.json") as f:
|
||||
pkg = json.load(f)
|
||||
|
||||
if (pkg_manager_name := pkg.get("packageManager")) and isinstance(
|
||||
@@ -1093,17 +914,8 @@ def python_config_to_docker(
|
||||
escape_variables: bool = False,
|
||||
) -> tuple[str, dict[str, str]]:
|
||||
"""Generate a Dockerfile from the configuration."""
|
||||
source_kind = _get_source_kind(config)
|
||||
pip_installer = config.get("pip_installer", "auto")
|
||||
build_tools_to_uninstall = get_build_tools_to_uninstall(config)
|
||||
if source_kind == "uv":
|
||||
return python_config_to_docker_uv_lock(
|
||||
config_path,
|
||||
config,
|
||||
base_image,
|
||||
api_version=api_version,
|
||||
build_tools_to_uninstall=build_tools_to_uninstall,
|
||||
)
|
||||
if pip_installer == "auto":
|
||||
if _image_supports_uv(base_image):
|
||||
pip_installer = "uv"
|
||||
@@ -1116,11 +928,21 @@ def python_config_to_docker(
|
||||
else:
|
||||
raise ValueError(f"Invalid pip_installer: {pip_installer}")
|
||||
|
||||
(
|
||||
local_reqs_pip_install,
|
||||
global_reqs_pip_install,
|
||||
pip_config_file_str,
|
||||
) = _build_python_install_commands(config, install_cmd)
|
||||
# configure pip
|
||||
local_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
|
||||
global_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
|
||||
if config.get("pip_config_file"):
|
||||
local_reqs_pip_install = (
|
||||
f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
|
||||
)
|
||||
global_reqs_pip_install = (
|
||||
f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
|
||||
)
|
||||
pip_config_file_str = (
|
||||
f"ADD {config['pip_config_file']} /pipconfig.txt"
|
||||
if config.get("pip_config_file")
|
||||
else ""
|
||||
)
|
||||
|
||||
# collect dependencies
|
||||
pypi_deps = [dep for dep in config["dependencies"] if not dep.startswith(".")]
|
||||
@@ -1176,7 +998,7 @@ RUN set -ex && \\
|
||||
'[build-system]' \\
|
||||
'requires = ["setuptools>=61"]' \\
|
||||
'build-backend = "setuptools.build_meta"'; do \\
|
||||
echo "$line" >> {shlex.quote(f"/deps/outer-{fullpath.name}/pyproject.toml")}; \\
|
||||
echo "$line" >> /deps/outer-{fullpath.name}/pyproject.toml; \\
|
||||
done
|
||||
# -- End of non-package dependency {fullpath.name} --"""
|
||||
for fullpath, (relpath, destpath) in local_deps.faux_pkgs.items()
|
||||
@@ -1195,50 +1017,56 @@ ADD {relpath} /deps/{name}
|
||||
for fullpath, (relpath, name) in local_deps.real_pkgs.items()
|
||||
)
|
||||
|
||||
additional_contexts: dict[str, str] = {}
|
||||
additional_context_names: dict[pathlib.Path, str] = {}
|
||||
used_context_names: set[str] = set()
|
||||
|
||||
def register_additional_context(path: pathlib.Path, preferred_name: str) -> str:
|
||||
if path in additional_context_names:
|
||||
return additional_context_names[path]
|
||||
|
||||
name = preferred_name
|
||||
suffix = 1
|
||||
while name in used_context_names:
|
||||
name = f"{preferred_name}_{suffix}"
|
||||
suffix += 1
|
||||
|
||||
used_context_names.add(name)
|
||||
additional_context_names[path] = name
|
||||
additional_contexts[name] = str(path)
|
||||
return name
|
||||
|
||||
for p in local_deps.additional_contexts:
|
||||
if p in local_deps.real_pkgs:
|
||||
preferred_name = local_deps.real_pkgs[p][1]
|
||||
elif p in local_deps.faux_pkgs:
|
||||
preferred_name = f"outer-{p.name}"
|
||||
else:
|
||||
raise RuntimeError(f"Unknown additional context: {p}")
|
||||
register_additional_context(p, preferred_name)
|
||||
|
||||
install_node_str: str = (
|
||||
"RUN /storage/install-node.sh"
|
||||
if (config.get("ui") or config.get("node_version")) and local_deps.working_dir
|
||||
else ""
|
||||
)
|
||||
|
||||
install_steps = [install_node_str, pip_config_file_str, pip_pkgs_str, pip_reqs_str]
|
||||
install_steps.extend([local_pkgs_str, faux_pkgs_str])
|
||||
installs = f"{os.linesep}{os.linesep}".join(
|
||||
filter(
|
||||
None,
|
||||
install_steps,
|
||||
[
|
||||
install_node_str,
|
||||
pip_config_file_str,
|
||||
pip_pkgs_str,
|
||||
pip_reqs_str,
|
||||
local_pkgs_str,
|
||||
faux_pkgs_str,
|
||||
],
|
||||
)
|
||||
)
|
||||
|
||||
env_vars = _build_runtime_env_vars(config)
|
||||
env_vars = []
|
||||
|
||||
if (store_config := config.get("store")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
|
||||
|
||||
if (auth_config := config.get("auth")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
|
||||
|
||||
if (encryption_config := config.get("encryption")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
|
||||
|
||||
if (http_config := config.get("http")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
|
||||
|
||||
# Inject webhooks configuration if provided
|
||||
if (webhooks_config := config.get("webhooks")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
|
||||
|
||||
if (checkpointer_config := config.get("checkpointer")) is not None:
|
||||
env_vars.append(
|
||||
f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
|
||||
)
|
||||
|
||||
if (ui := config.get("ui")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
|
||||
|
||||
if (ui_config := config.get("ui_config")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
|
||||
|
||||
env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
|
||||
|
||||
js_inst_str: str = ""
|
||||
if (config.get("ui") or config.get("node_version")) and local_deps.working_dir:
|
||||
@@ -1246,8 +1074,7 @@ ADD {relpath} /deps/{name}
|
||||
[
|
||||
"# -- Installing JS dependencies --",
|
||||
f"ENV NODE_VERSION={config.get('node_version') or DEFAULT_NODE_VERSION}",
|
||||
f"WORKDIR {local_deps.working_dir}",
|
||||
f"RUN {_get_node_pm_install_cmd(config_path.parent)} && tsx /api/langgraph_api/js/build.mts",
|
||||
f"RUN cd {local_deps.working_dir} && {_get_node_pm_install_cmd(config_path, config)} && tsx /api/langgraph_api/js/build.mts",
|
||||
"# -- End of JS dependencies install --",
|
||||
]
|
||||
)
|
||||
@@ -1257,7 +1084,7 @@ ADD {relpath} /deps/{name}
|
||||
docker_file_contents = []
|
||||
|
||||
# Add syntax directive if we have additional contexts (requires BuildKit frontend.contexts capability)
|
||||
if additional_contexts:
|
||||
if local_deps.additional_contexts:
|
||||
docker_file_contents.extend(
|
||||
[
|
||||
"# syntax=docker/dockerfile:1.4",
|
||||
@@ -1267,13 +1094,6 @@ ADD {relpath} /deps/{name}
|
||||
|
||||
# Add main dockerfile content
|
||||
dep_vname = "$$dep" if escape_variables else "$dep"
|
||||
local_deps_install_str = f"""RUN for dep in /deps/*; do \
|
||||
echo "Installing {dep_vname}"; \
|
||||
if [ -d "{dep_vname}" ]; then \
|
||||
echo "Installing {dep_vname}"; \
|
||||
(cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
|
||||
fi; \
|
||||
done"""
|
||||
docker_file_contents.extend(
|
||||
[
|
||||
f"FROM {image_str}",
|
||||
@@ -1283,7 +1103,13 @@ ADD {relpath} /deps/{name}
|
||||
installs,
|
||||
"",
|
||||
"# -- Installing all local dependencies --",
|
||||
local_deps_install_str,
|
||||
f"""RUN for dep in /deps/*; do \
|
||||
echo "Installing {dep_vname}"; \
|
||||
if [ -d "{dep_vname}" ]; then \
|
||||
echo "Installing {dep_vname}"; \
|
||||
(cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
|
||||
fi; \
|
||||
done""",
|
||||
"# -- End of local dependencies install --",
|
||||
os.linesep.join(env_vars),
|
||||
"",
|
||||
@@ -1300,6 +1126,16 @@ ADD {relpath} /deps/{name}
|
||||
]
|
||||
)
|
||||
|
||||
additional_contexts: dict[str, str] = {}
|
||||
for p in local_deps.additional_contexts:
|
||||
if p in local_deps.real_pkgs:
|
||||
name = local_deps.real_pkgs[p][1]
|
||||
elif p in local_deps.faux_pkgs:
|
||||
name = f"outer-{p.name}"
|
||||
else:
|
||||
raise RuntimeError(f"Unknown additional context: {p}")
|
||||
additional_contexts[name] = str(p)
|
||||
|
||||
return os.linesep.join(docker_file_contents), additional_contexts
|
||||
|
||||
|
||||
@@ -1313,10 +1149,6 @@ def node_config_to_docker(
|
||||
build_context: str | None = None,
|
||||
) -> tuple[str, dict[str, str]]:
|
||||
# Calculate paths for monorepo support
|
||||
install_root = (
|
||||
pathlib.Path(build_context).resolve() if build_context else config_path.parent
|
||||
)
|
||||
install_cmd = install_command or _get_node_pm_install_cmd(install_root)
|
||||
if build_context:
|
||||
relative_workdir = _calculate_relative_workdir(config_path, build_context)
|
||||
container_name = pathlib.Path(build_context).name
|
||||
@@ -1328,32 +1160,60 @@ def node_config_to_docker(
|
||||
# Backward compatibility: use the original behavior
|
||||
faux_path = f"/deps/{config_path.parent.name}"
|
||||
|
||||
# Use custom install command or auto-detect
|
||||
if install_command:
|
||||
install_cmd = install_command
|
||||
else:
|
||||
install_cmd = _get_node_pm_install_cmd(config_path, config)
|
||||
|
||||
image_str = docker_tag(config, base_image, api_version)
|
||||
|
||||
env_vars = _build_runtime_env_vars(config)
|
||||
env_vars: list[str] = []
|
||||
|
||||
if (store_config := config.get("store")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
|
||||
|
||||
if (auth_config := config.get("auth")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
|
||||
|
||||
if (encryption_config := config.get("encryption")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
|
||||
|
||||
if (http_config := config.get("http")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
|
||||
|
||||
# Inject webhooks configuration if provided
|
||||
if (webhooks_config := config.get("webhooks")) is not None:
|
||||
env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
|
||||
|
||||
if (checkpointer_config := config.get("checkpointer")) is not None:
|
||||
env_vars.append(
|
||||
f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
|
||||
)
|
||||
|
||||
if ui := config.get("ui"):
|
||||
env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
|
||||
|
||||
if ui_config := config.get("ui_config"):
|
||||
env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
|
||||
|
||||
env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
|
||||
|
||||
# For monorepo support, we need to handle install and build commands differently
|
||||
if build_context:
|
||||
# Monorepo case: install from root, build from config directory
|
||||
container_root = f"/deps/{pathlib.Path(build_context).name}"
|
||||
install_workdir = container_root
|
||||
install_step = f"RUN {install_cmd}"
|
||||
install_step = f"RUN cd {container_root} && {install_cmd}"
|
||||
|
||||
if build_command:
|
||||
build_step = f"RUN {build_command}"
|
||||
build_step = f"RUN cd {faux_path} && {build_command}"
|
||||
else:
|
||||
build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
|
||||
else:
|
||||
# Original behavior: everything happens in the same directory
|
||||
install_workdir = faux_path
|
||||
install_step = f"RUN {install_cmd}"
|
||||
install_step = f"RUN cd {faux_path} && {install_cmd}"
|
||||
build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
|
||||
|
||||
if build_context:
|
||||
build_workdir = faux_path
|
||||
else:
|
||||
build_workdir = faux_path
|
||||
|
||||
docker_file_contents = [
|
||||
f"FROM {image_str}",
|
||||
"",
|
||||
@@ -1361,13 +1221,11 @@ def node_config_to_docker(
|
||||
"",
|
||||
f"ADD . {faux_path if not build_context else container_root}",
|
||||
"",
|
||||
f"WORKDIR {install_workdir}",
|
||||
"",
|
||||
install_step,
|
||||
"",
|
||||
os.linesep.join(env_vars),
|
||||
"",
|
||||
f"WORKDIR {build_workdir}",
|
||||
f"WORKDIR {faux_path}",
|
||||
"",
|
||||
build_step,
|
||||
]
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,14 +1,10 @@
|
||||
import copy
|
||||
import json
|
||||
import pathlib
|
||||
import platform
|
||||
import shutil
|
||||
from collections.abc import Callable, Sequence
|
||||
from typing import Literal, NamedTuple
|
||||
|
||||
import click.exceptions
|
||||
|
||||
import langgraph_cli.config
|
||||
from langgraph_cli.exec import subp_exec
|
||||
|
||||
ROOT = pathlib.Path(__file__).parent.resolve()
|
||||
@@ -49,54 +45,6 @@ def _parse_version(version: str) -> Version:
|
||||
)
|
||||
|
||||
|
||||
def can_build_locally() -> tuple[bool, str | None]:
|
||||
"""Return whether local deployment builds can run on this machine.
|
||||
|
||||
Checks:
|
||||
- Docker binary is installed
|
||||
- Docker daemon is running
|
||||
- Buildx is available when cross-compilation is required (non-x86_64)
|
||||
"""
|
||||
if shutil.which("docker") is None:
|
||||
return (
|
||||
False,
|
||||
"Docker is required but not installed.\n"
|
||||
"Install Docker Desktop: https://docs.docker.com/get-docker/",
|
||||
)
|
||||
try:
|
||||
import subprocess
|
||||
|
||||
docker_info = subprocess.run(
|
||||
["docker", "info"],
|
||||
capture_output=True,
|
||||
timeout=10,
|
||||
)
|
||||
if docker_info.returncode != 0:
|
||||
return (
|
||||
False,
|
||||
"Docker is installed but not running.\nStart Docker and try again.",
|
||||
)
|
||||
|
||||
if platform.machine() != "x86_64":
|
||||
buildx = subprocess.run(
|
||||
["docker", "buildx", "version"],
|
||||
capture_output=True,
|
||||
timeout=10,
|
||||
)
|
||||
if buildx.returncode != 0:
|
||||
return (
|
||||
False,
|
||||
"Docker Buildx is required but not installed.\n"
|
||||
"Your machine architecture ("
|
||||
+ platform.machine()
|
||||
+ ") requires Buildx to cross-compile images for linux/amd64.\n"
|
||||
"Install Buildx: https://docs.docker.com/build/install-buildx/",
|
||||
)
|
||||
return True, None
|
||||
except Exception:
|
||||
return False, "Unable to verify local Docker build support."
|
||||
|
||||
|
||||
def check_capabilities(runner) -> DockerCapabilities:
|
||||
# check docker available
|
||||
if shutil.which("docker") is None:
|
||||
@@ -328,79 +276,3 @@ def compose(
|
||||
)
|
||||
compose_str = dict_to_yaml(compose_content)
|
||||
return compose_str
|
||||
|
||||
|
||||
def build_docker_image(
|
||||
runner,
|
||||
set: Callable[[str], None],
|
||||
config: pathlib.Path,
|
||||
config_json: dict,
|
||||
base_image: str | None,
|
||||
api_version: str | None,
|
||||
pull: bool,
|
||||
tag: str,
|
||||
passthrough: Sequence[str] = (),
|
||||
install_command: str | None = None,
|
||||
build_command: str | None = None,
|
||||
docker_command: Sequence[str] | None = None,
|
||||
extra_flags: Sequence[str] = (),
|
||||
verbose: bool = True,
|
||||
):
|
||||
"""Build a Docker image from a LangGraph config."""
|
||||
# pull latest images
|
||||
if pull:
|
||||
runner.run(
|
||||
subp_exec(
|
||||
"docker",
|
||||
"pull",
|
||||
langgraph_cli.config.docker_tag(config_json, base_image, api_version),
|
||||
verbose=verbose,
|
||||
)
|
||||
)
|
||||
set("Building...")
|
||||
# apply options
|
||||
args = [
|
||||
"-f",
|
||||
"-", # stdin
|
||||
"-t",
|
||||
tag,
|
||||
]
|
||||
# determine build context: use current directory for JS projects, config parent for Python
|
||||
is_js_project = config_json.get("node_version") and not config_json.get(
|
||||
"python_version"
|
||||
)
|
||||
# build/install commands only apply to JS projects for now
|
||||
# without install/build command, JS projects will follow the old behavior
|
||||
if is_js_project and (build_command or install_command):
|
||||
build_context = str(pathlib.Path.cwd())
|
||||
else:
|
||||
build_context = str(config.parent)
|
||||
|
||||
# Deep copy to avoid mutating the caller's config (config_to_docker
|
||||
# rewrites graph paths to container-internal paths in place).
|
||||
config_json = copy.deepcopy(config_json)
|
||||
stdin, additional_contexts = langgraph_cli.config.config_to_docker(
|
||||
config_path=config,
|
||||
config=config_json,
|
||||
base_image=base_image,
|
||||
api_version=api_version,
|
||||
install_command=install_command,
|
||||
build_command=build_command,
|
||||
build_context=build_context,
|
||||
)
|
||||
# add additional_contexts
|
||||
if additional_contexts:
|
||||
for k, v in additional_contexts.items():
|
||||
args.extend(["--build-context", f"{k}={v}"])
|
||||
cmd = tuple(docker_command) if docker_command else ("docker", "build")
|
||||
runner.run(
|
||||
subp_exec(
|
||||
*cmd,
|
||||
*args,
|
||||
*extra_flags,
|
||||
*passthrough,
|
||||
build_context,
|
||||
input=stdin,
|
||||
verbose=verbose,
|
||||
)
|
||||
)
|
||||
|
||||
@@ -0,0 +1,59 @@
|
||||
"""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
|
||||
@@ -70,25 +70,7 @@ class HostBackendClient:
|
||||
f"Failed to decode response from {path}: {err}"
|
||||
) from None
|
||||
|
||||
def create_deployment(
|
||||
self,
|
||||
name: str,
|
||||
deployment_type: str,
|
||||
source: str,
|
||||
config_path: str | None = None,
|
||||
secrets: list[dict[str, str]] | None = None,
|
||||
) -> dict[str, Any]:
|
||||
"""Create a deployment."""
|
||||
payload: dict[str, Any] = {
|
||||
"name": name,
|
||||
"source": source,
|
||||
"source_config": {"deployment_type": deployment_type},
|
||||
"source_revision_config": {},
|
||||
}
|
||||
if source == "internal_source" and config_path:
|
||||
payload["source_revision_config"]["langgraph_config_path"] = config_path
|
||||
if secrets is not None:
|
||||
payload["secrets"] = secrets
|
||||
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]:
|
||||
@@ -110,13 +92,6 @@ class HostBackendClient:
|
||||
f"/v2/deployments/{deployment_id}/push-token",
|
||||
)
|
||||
|
||||
def request_upload_url(self, deployment_id: str) -> dict[str, Any]:
|
||||
"""Get a signed GCS URL for uploading the source tarball."""
|
||||
return self._request(
|
||||
"POST",
|
||||
f"/v2/deployments/{deployment_id}/upload-url",
|
||||
)
|
||||
|
||||
def update_deployment(
|
||||
self,
|
||||
deployment_id: str,
|
||||
@@ -124,7 +99,6 @@ class HostBackendClient:
|
||||
secrets: list[dict[str, str]] | None = None,
|
||||
) -> dict[str, Any]:
|
||||
payload: dict[str, Any] = {
|
||||
"revision_source": "internal_docker",
|
||||
"source_revision_config": {"image_uri": image_uri},
|
||||
}
|
||||
if secrets is not None:
|
||||
@@ -135,36 +109,6 @@ class HostBackendClient:
|
||||
payload,
|
||||
)
|
||||
|
||||
def update_deployment_internal_source(
|
||||
self,
|
||||
deployment_id: str,
|
||||
source_tarball_path: str,
|
||||
config_path: str,
|
||||
secrets: list[dict[str, str]] | None = None,
|
||||
install_command: str | None = None,
|
||||
build_command: str | None = None,
|
||||
) -> dict[str, Any]:
|
||||
"""Trigger a remote build revision with the uploaded tarball."""
|
||||
payload: dict[str, Any] = {
|
||||
"revision_source": "internal_source",
|
||||
"source_revision_config": {
|
||||
"source_tarball_path": source_tarball_path,
|
||||
"langgraph_config_path": config_path,
|
||||
},
|
||||
}
|
||||
|
||||
source_config: dict[str, Any] = {}
|
||||
if install_command is not None:
|
||||
source_config["install_command"] = install_command
|
||||
if build_command is not None:
|
||||
source_config["build_command"] = build_command
|
||||
if source_config:
|
||||
payload["source_config"] = source_config
|
||||
|
||||
if secrets is not None:
|
||||
payload["secrets"] = secrets
|
||||
return self._request("PATCH", f"/v2/deployments/{deployment_id}", payload)
|
||||
|
||||
def list_revisions(self, deployment_id: str, limit: int = 1) -> dict[str, Any]:
|
||||
return self._request(
|
||||
"GET",
|
||||
|
||||
@@ -18,9 +18,6 @@ class Progress:
|
||||
self._show_elapsed = elapsed
|
||||
# use this to make sure we don't kill thread when we set msg to ""
|
||||
self._stop = threading.Event()
|
||||
# signalled when the spinner has no text on screen
|
||||
self._line_clear = threading.Event()
|
||||
self._line_clear.set()
|
||||
self.spinner_generator = self.spinning_cursor()
|
||||
|
||||
def spinner_iteration(self):
|
||||
@@ -46,16 +43,13 @@ class Progress:
|
||||
start = time.monotonic()
|
||||
while not self._stop.is_set():
|
||||
if not self.message:
|
||||
self._line_clear.set()
|
||||
time.sleep(self.delay)
|
||||
continue
|
||||
if self._show_elapsed:
|
||||
self.message = self._format_elapsed(time.monotonic() - start)
|
||||
message = self.message
|
||||
if not message:
|
||||
self._line_clear.set()
|
||||
continue
|
||||
self._line_clear.clear()
|
||||
sys.stdout.write(next(self.spinner_generator) + " " + message)
|
||||
sys.stdout.flush()
|
||||
time.sleep(self.delay)
|
||||
@@ -66,7 +60,6 @@ class Progress:
|
||||
+ "\b" * (len(message) + 2)
|
||||
)
|
||||
sys.stdout.flush()
|
||||
self._line_clear.set()
|
||||
|
||||
def __enter__(self) -> Callable[[str], None]:
|
||||
if sys.stdout.isatty():
|
||||
@@ -76,8 +69,6 @@ class Progress:
|
||||
def set_message(message):
|
||||
self.message = message
|
||||
self._base_message = message or self._base_message
|
||||
if not message:
|
||||
self._line_clear.wait(timeout=0.5)
|
||||
|
||||
return set_message
|
||||
else:
|
||||
|
||||
@@ -1,7 +1,5 @@
|
||||
from typing import Any, Literal, TypedDict
|
||||
|
||||
from typing_extensions import Required
|
||||
|
||||
Distros = Literal["debian", "wolfi", "bookworm"]
|
||||
MiddlewareOrders = Literal["auth_first", "middleware_first"]
|
||||
|
||||
@@ -11,20 +9,20 @@ class TTLConfig(TypedDict, total=False):
|
||||
|
||||
refresh_on_read: bool
|
||||
"""Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).
|
||||
|
||||
|
||||
If `True`, TTLs will be refreshed on read operations (get/search) by default.
|
||||
This can be overridden per-operation by explicitly setting `refresh_ttl`.
|
||||
Defaults to `True` if not configured.
|
||||
"""
|
||||
default_ttl: float | None
|
||||
"""Optional. Default TTL (time-to-live) in minutes for new items.
|
||||
|
||||
|
||||
If provided, all new items will have this TTL unless explicitly overridden.
|
||||
If omitted, items will have no TTL by default.
|
||||
"""
|
||||
sweep_interval_minutes: int | None
|
||||
"""Optional. Interval in minutes between TTL sweep iterations.
|
||||
|
||||
|
||||
If provided, the store will periodically delete expired items based on the TTL.
|
||||
If omitted, no automatic sweeping will occur.
|
||||
"""
|
||||
@@ -38,10 +36,10 @@ class IndexConfig(TypedDict, total=False):
|
||||
|
||||
dims: int
|
||||
"""Required. Dimensionality of the embedding vectors you will store.
|
||||
|
||||
|
||||
Must match the output dimension of your selected embedding model or custom embed function.
|
||||
If mismatched, you will likely encounter shape/size errors when inserting or querying vectors.
|
||||
|
||||
|
||||
Common embedding model output dimensions:
|
||||
- openai:text-embedding-3-large: 3072
|
||||
- openai:text-embedding-3-small: 1536
|
||||
@@ -54,7 +52,7 @@ class IndexConfig(TypedDict, total=False):
|
||||
|
||||
embed: str
|
||||
"""Required. Identifier or reference to the embedding model or a custom embedding function.
|
||||
|
||||
|
||||
The format can vary:
|
||||
- "<provider>:<model_name>" for recognized providers (e.g., "openai:text-embedding-3-large")
|
||||
- "path/to/module.py:function_name" for your own local embedding function
|
||||
@@ -64,17 +62,17 @@ class IndexConfig(TypedDict, total=False):
|
||||
- "openai:text-embedding-3-large"
|
||||
- "cohere:embed-multilingual-v3.0"
|
||||
- "src/app.py:embeddings"
|
||||
|
||||
|
||||
Note: Must return embeddings of dimension `dims`.
|
||||
"""
|
||||
|
||||
fields: list[str] | None
|
||||
"""Optional. List of JSON fields to extract before generating embeddings.
|
||||
|
||||
|
||||
Defaults to ["$"], which means the entire JSON object is embedded as one piece of text.
|
||||
If you provide multiple fields (e.g. ["title", "content"]), each is extracted and embedded separately,
|
||||
often saving token usage if you only care about certain parts of the data.
|
||||
|
||||
|
||||
Example:
|
||||
fields=["title", "abstract", "author.biography"]
|
||||
"""
|
||||
@@ -89,18 +87,18 @@ class StoreConfig(TypedDict, total=False):
|
||||
|
||||
index: IndexConfig | None
|
||||
"""Optional. Defines the vector-based semantic search configuration.
|
||||
|
||||
|
||||
If provided, the store will:
|
||||
- Generate embeddings according to `index.embed`
|
||||
- Enforce the embedding dimension given by `index.dims`
|
||||
- Embed only specified JSON fields (if any) from `index.fields`
|
||||
|
||||
|
||||
If omitted, no vector index is initialized.
|
||||
"""
|
||||
|
||||
ttl: TTLConfig | None
|
||||
"""Optional. Defines the TTL (time-to-live) behavior configuration.
|
||||
|
||||
|
||||
If provided, the store will apply TTL settings according to the configuration.
|
||||
If omitted, no TTL behavior is configured.
|
||||
"""
|
||||
@@ -131,11 +129,11 @@ class SerdeConfig(TypedDict, total=False):
|
||||
|
||||
allowed_json_modules: list[list[str]] | bool | None
|
||||
"""Optional. List of allowed python modules to de-serialize custom objects from JSON.
|
||||
|
||||
|
||||
If provided, only the specified modules will be allowed to be deserialized.
|
||||
If omitted, no modules are allowed, and the object returned will simply be a json object OR
|
||||
a deserialized langchain object.
|
||||
|
||||
|
||||
Example:
|
||||
{...
|
||||
"serde": {
|
||||
@@ -180,11 +178,11 @@ class SerdeConfig(TypedDict, total=False):
|
||||
"allowed_msgpack_modules": null
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
"""
|
||||
pickle_fallback: bool
|
||||
"""Optional. Whether to allow pickling as a fallback for deserialization.
|
||||
|
||||
|
||||
If True, pickling will be allowed as a fallback for deserialization.
|
||||
If False, pickling will not be allowed as a fallback for deserialization.
|
||||
Defaults to True if not configured."""
|
||||
@@ -218,7 +216,7 @@ class CheckpointerConfig(TypedDict, total=False):
|
||||
|
||||
ttl: ThreadTTLConfig | None
|
||||
"""Optional. Defines the TTL (time-to-live) behavior configuration.
|
||||
|
||||
|
||||
If provided, the checkpointer will apply TTL settings according to the configuration.
|
||||
If omitted, no TTL behavior is configured.
|
||||
"""
|
||||
@@ -241,7 +239,7 @@ class SecurityConfig(TypedDict, total=False):
|
||||
|
||||
securitySchemes: dict[str, dict[str, Any]]
|
||||
"""Describe each security scheme recognized by your OpenAPI spec.
|
||||
|
||||
|
||||
Keys are scheme names (e.g. "OAuth2", "ApiKeyAuth") and values are their definitions.
|
||||
Example:
|
||||
{
|
||||
@@ -258,7 +256,7 @@ class SecurityConfig(TypedDict, total=False):
|
||||
"""
|
||||
security: list[dict[str, list[str]]]
|
||||
"""Global security requirements across all endpoints.
|
||||
|
||||
|
||||
Each element in the list maps a security scheme (e.g. "OAuth2") to a list of scopes (e.g. ["read", "write"]).
|
||||
Example:
|
||||
[
|
||||
@@ -269,11 +267,11 @@ class SecurityConfig(TypedDict, total=False):
|
||||
# path => {method => security}
|
||||
paths: dict[str, dict[str, list[dict[str, list[str]]]]]
|
||||
"""Path-specific security overrides.
|
||||
|
||||
|
||||
Keys are path templates (e.g., "/items/{item_id}"), mapping to:
|
||||
- Keys that are HTTP methods (e.g., "GET", "POST"),
|
||||
- Values are lists of security definitions (just like `security`) for that method.
|
||||
|
||||
|
||||
Example:
|
||||
{
|
||||
"/private_data": {
|
||||
@@ -287,19 +285,19 @@ class SecurityConfig(TypedDict, total=False):
|
||||
class CacheConfig(TypedDict, total=False):
|
||||
cache_keys: list[str]
|
||||
"""Optional. List of header keys to use for caching.
|
||||
|
||||
|
||||
Example:
|
||||
["user_id", "workspace_id"]
|
||||
"""
|
||||
ttl_seconds: int
|
||||
"""Optional. Time-to-live in seconds for cached items.
|
||||
|
||||
|
||||
Example:
|
||||
3600
|
||||
"""
|
||||
max_size: int
|
||||
"""Optional. Maximum size of the cache.
|
||||
|
||||
|
||||
Example:
|
||||
100
|
||||
"""
|
||||
@@ -310,19 +308,19 @@ class AuthConfig(TypedDict, total=False):
|
||||
|
||||
path: str
|
||||
"""Required. Path to an instance of the Auth() class that implements custom authentication.
|
||||
|
||||
|
||||
Format: "path/to/file.py:my_auth"
|
||||
"""
|
||||
disable_studio_auth: bool
|
||||
"""Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.
|
||||
|
||||
"""Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.
|
||||
|
||||
Defaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header
|
||||
value is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom
|
||||
authentication logic, regardless of origin of the request.
|
||||
"""
|
||||
openapi: SecurityConfig
|
||||
"""The security configuration to include in your server's OpenAPI spec.
|
||||
|
||||
|
||||
Example (OAuth2):
|
||||
{
|
||||
"securitySchemes": {
|
||||
@@ -343,7 +341,7 @@ class AuthConfig(TypedDict, total=False):
|
||||
"""
|
||||
cache: CacheConfig
|
||||
"""Optional. Cache configuration for the server.
|
||||
|
||||
|
||||
Example:
|
||||
{
|
||||
"cache_keys": ["user_id", "workspace_id"],
|
||||
@@ -382,32 +380,32 @@ class CorsConfig(TypedDict, total=False):
|
||||
|
||||
allow_origins: list[str]
|
||||
"""Optional. List of allowed origins (e.g., "https://example.com").
|
||||
|
||||
Default is often an empty list (no external origins).
|
||||
|
||||
Default is often an empty list (no external origins).
|
||||
Use "*" only if you trust all origins, as that bypasses most restrictions.
|
||||
"""
|
||||
allow_methods: list[str]
|
||||
"""Optional. HTTP methods permitted for cross-origin requests (e.g. ["GET", "POST"]).
|
||||
|
||||
|
||||
Default might be ["GET", "POST", "OPTIONS"] depending on your server framework.
|
||||
"""
|
||||
allow_headers: list[str]
|
||||
"""Optional. HTTP headers that can be used in cross-origin requests (e.g. ["Content-Type", "Authorization"])."""
|
||||
allow_credentials: bool
|
||||
"""Optional. If `True`, cross-origin requests can include credentials (cookies, auth headers).
|
||||
|
||||
|
||||
Default False to avoid accidentally exposing secured endpoints to untrusted sites.
|
||||
"""
|
||||
allow_origin_regex: str
|
||||
"""Optional. A regex pattern for matching allowed origins, used if you have dynamic subdomains.
|
||||
|
||||
|
||||
Example: "^https://.*\\.mycompany\\.com$"
|
||||
"""
|
||||
expose_headers: list[str]
|
||||
"""Optional. List of headers that browsers are allowed to read from the response in cross-origin contexts."""
|
||||
max_age: int
|
||||
"""Optional. How many seconds the browser may cache preflight responses.
|
||||
|
||||
|
||||
Default might be 600 (10 minutes). Larger values reduce preflight requests but can cause stale configurations.
|
||||
"""
|
||||
|
||||
@@ -444,61 +442,61 @@ class HttpConfig(TypedDict, total=False):
|
||||
|
||||
app: str
|
||||
"""Optional. Import path to a custom Starlette/FastAPI application to mount.
|
||||
|
||||
|
||||
Format: "path/to/module.py:app_var"
|
||||
If provided, it can override or extend the default routes.
|
||||
"""
|
||||
disable_assistants: bool
|
||||
"""Optional. If `True`, /assistants routes are removed from the server.
|
||||
|
||||
|
||||
Default is False (meaning /assistants is enabled).
|
||||
"""
|
||||
disable_threads: bool
|
||||
"""Optional. If `True`, /threads routes are removed.
|
||||
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
disable_runs: bool
|
||||
"""Optional. If `True`, /runs routes are removed.
|
||||
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
disable_store: bool
|
||||
"""Optional. If `True`, /store routes are removed, disabling direct store interactions via HTTP.
|
||||
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
disable_mcp: bool
|
||||
"""Optional. If `True`, /mcp routes are removed, disabling default support to expose the deployment as an MCP server.
|
||||
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
disable_a2a: bool
|
||||
"""Optional. If `True`, /a2a routes are removed, disabling default support to expose the deployment as an agent-to-agent (A2A) server.
|
||||
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
disable_meta: bool
|
||||
"""Optional. Remove meta endpoints.
|
||||
|
||||
|
||||
Set to True to disable the following endpoints: /openapi.json, /info, /metrics, /docs.
|
||||
This will also make the /ok endpoint skip any DB or other checks, always returning {"ok": True}.
|
||||
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
disable_ui: bool
|
||||
"""Optional. If `True`, /ui routes are removed, disabling the UI server.
|
||||
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
disable_webhooks: bool
|
||||
"""Optional. If `True`, webhooks are disabled. Runs created with an associated webhook will
|
||||
still be executed, but the webhook event will not be sent.
|
||||
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
cors: CorsConfig | None
|
||||
"""Optional. Defines CORS restrictions. If omitted, no special rules are set and
|
||||
"""Optional. Defines CORS restrictions. If omitted, no special rules are set and
|
||||
cross-origin behavior depends on default server settings.
|
||||
"""
|
||||
configurable_headers: ConfigurableHeaderConfig | None
|
||||
@@ -529,7 +527,7 @@ class HttpConfig(TypedDict, total=False):
|
||||
"""
|
||||
mount_prefix: str
|
||||
"""Optional. URL prefix to prepend to all the routes.
|
||||
|
||||
|
||||
Example:
|
||||
"/api"
|
||||
"""
|
||||
@@ -590,33 +588,11 @@ class WebhooksConfig(TypedDict, total=False):
|
||||
"""
|
||||
|
||||
|
||||
class UvSource(TypedDict, total=False):
|
||||
"""Deployment source rooted at a uv project or workspace."""
|
||||
|
||||
kind: Required[Literal["uv"]]
|
||||
"""Discriminator for uv-backed deployment mode."""
|
||||
|
||||
root: str
|
||||
"""Relative path from langgraph.json to the authoritative uv project root.
|
||||
|
||||
The resolved directory must contain `pyproject.toml` and `uv.lock`. If the
|
||||
root is a workspace, package discovery happens within this root.
|
||||
"""
|
||||
|
||||
package: str
|
||||
"""Optional. Workspace package name to deploy when the target is ambiguous.
|
||||
|
||||
If omitted, the CLI tries to infer the target package from the location of
|
||||
`langgraph.json`, or falls back to the only package if the root contains
|
||||
exactly one candidate.
|
||||
"""
|
||||
|
||||
|
||||
class Config(TypedDict, total=False):
|
||||
"""Top-level config for langgraph-cli or similar deployment tooling."""
|
||||
|
||||
python_version: str
|
||||
"""Optional. Python version in 'major.minor' format (e.g. '3.11').
|
||||
"""Optional. Python version in 'major.minor' format (e.g. '3.11').
|
||||
Must be at least 3.11 or greater for this deployment to function properly.
|
||||
"""
|
||||
|
||||
@@ -627,7 +603,7 @@ class Config(TypedDict, total=False):
|
||||
|
||||
api_version: str | None
|
||||
"""Optional. Which semantic version of the LangGraph API server to use.
|
||||
|
||||
|
||||
Defaults to latest. Check the
|
||||
[changelog](https://docs.langchain.com/langgraph-platform/langgraph-server-changelog)
|
||||
for more information."""
|
||||
@@ -638,12 +614,12 @@ class Config(TypedDict, total=False):
|
||||
|
||||
base_image: str | None
|
||||
"""Optional. Base image to use for the LangGraph API server.
|
||||
|
||||
|
||||
Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
|
||||
|
||||
image_distro: Distros | None
|
||||
"""Optional. Linux distribution for the base image.
|
||||
|
||||
|
||||
Must be one of 'wolfi', 'debian', or 'bookworm'.
|
||||
If omitted, defaults to 'debian' ('latest').
|
||||
"""
|
||||
@@ -651,30 +627,22 @@ class Config(TypedDict, total=False):
|
||||
pip_config_file: str | None
|
||||
"""Optional. Path to a pip config file (e.g., "/etc/pip.conf" or "pip.ini") for controlling
|
||||
package installation (custom indices, credentials, etc.).
|
||||
|
||||
|
||||
Only relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.
|
||||
"""
|
||||
|
||||
pip_installer: str | None
|
||||
"""Optional. Python package installer to use ('auto', 'pip', or 'uv').
|
||||
|
||||
"""Optional. Python package installer to use ('auto', 'pip', 'uv').
|
||||
|
||||
- 'auto' (default): Use uv for supported base images, otherwise pip
|
||||
- 'pip': Force use of pip regardless of base image support
|
||||
- 'uv': Force use of uv (will fail if base image doesn't support it)
|
||||
"""
|
||||
|
||||
source: UvSource | None
|
||||
"""Optional. Explicit deployment source configuration.
|
||||
|
||||
Use `{ "kind": "uv", "root": "." }` to deploy from a uv project rooted at
|
||||
`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the
|
||||
target is ambiguous, set `package` to the desired workspace member.
|
||||
"""
|
||||
|
||||
dockerfile_lines: list[str]
|
||||
"""Optional. Additional Docker instructions that will be appended to your base Dockerfile.
|
||||
|
||||
Useful for installing OS packages, setting environment variables, etc.
|
||||
|
||||
Useful for installing OS packages, setting environment variables, etc.
|
||||
Example:
|
||||
dockerfile_lines=[
|
||||
"RUN apt-get update && apt-get install -y libmagic-dev",
|
||||
@@ -684,14 +652,12 @@ class Config(TypedDict, total=False):
|
||||
|
||||
dependencies: list[str]
|
||||
"""List of Python dependencies to install, either from PyPI or local paths.
|
||||
|
||||
|
||||
Examples:
|
||||
- "." or "./src" if you have a local Python package
|
||||
- str (aka "anthropic") for a PyPI package
|
||||
- "git+https://github.com/org/repo.git@main" for a Git-based package
|
||||
Defaults to an empty list, meaning no additional packages installed beyond your base environment.
|
||||
|
||||
This field is not supported when `source.kind` is `uv`.
|
||||
"""
|
||||
|
||||
graphs: dict[str, str | GraphDef]
|
||||
@@ -716,10 +682,10 @@ class Config(TypedDict, total=False):
|
||||
|
||||
env: dict[str, str] | str
|
||||
"""Optional. Environment variables to set for your deployment.
|
||||
|
||||
|
||||
- If given as a dict, keys are variable names and values are their values.
|
||||
- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.
|
||||
|
||||
|
||||
Example as a dict:
|
||||
env={"API_TOKEN": "abc123", "DEBUG": "true"}
|
||||
Example as a file path:
|
||||
@@ -728,13 +694,13 @@ class Config(TypedDict, total=False):
|
||||
|
||||
store: StoreConfig | None
|
||||
"""Optional. Configuration for the built-in long-term memory store, including semantic search indexing.
|
||||
|
||||
|
||||
If omitted, no vector index is set up (the object store will still be present, however).
|
||||
"""
|
||||
|
||||
checkpointer: CheckpointerConfig | None
|
||||
"""Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.
|
||||
|
||||
|
||||
If omitted, no checkpointer is set up (the object store will still be present, however).
|
||||
"""
|
||||
|
||||
@@ -767,7 +733,7 @@ class Config(TypedDict, total=False):
|
||||
|
||||
keep_pkg_tools: bool | list[str] | None
|
||||
"""Optional. Control whether to retain Python packaging tools in the final image.
|
||||
|
||||
|
||||
Allowed tools are: "pip", "setuptools", "wheel".
|
||||
You can also set to true to include all packaging tools.
|
||||
"""
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
"""General-purpose utilities shared across the LangGraph CLI."""
|
||||
from collections.abc import Sequence
|
||||
|
||||
import click
|
||||
|
||||
@@ -25,3 +25,67 @@ 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)
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -15,15 +15,13 @@ dependencies = [
|
||||
"click>=8.1.7",
|
||||
"httpx>=0.24.0",
|
||||
"langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
|
||||
"pathspec>=0.11.0",
|
||||
"python-dotenv>=0.8.0",
|
||||
"tomli>=2.0.1 ; python_version < '3.11'",
|
||||
]
|
||||
[tool.hatch.version]
|
||||
path = "langgraph_cli/__init__.py"
|
||||
[project.optional-dependencies]
|
||||
inmem = [
|
||||
"langgraph-api>=0.5.35,<0.9.0 ; python_version >= '3.11'",
|
||||
"langgraph-api>=0.5.35,<0.8.0 ; python_version >= '3.11'",
|
||||
"langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
|
||||
]
|
||||
|
||||
|
||||
@@ -184,28 +184,13 @@
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/UvSource"
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
|
||||
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
@@ -249,240 +234,6 @@
|
||||
"graphs"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"python_version": {
|
||||
"type": "string",
|
||||
"description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
|
||||
"enum": [
|
||||
"3.11",
|
||||
"3.12",
|
||||
"3.13"
|
||||
]
|
||||
},
|
||||
"pip_config_file": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
|
||||
},
|
||||
"_INTERNAL_docker_tag": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Internal use only.\n"
|
||||
},
|
||||
"api_version": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
|
||||
},
|
||||
"auth": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/AuthConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Custom authentication config, including the path to your Python auth logic and\nthe OpenAPI security definitions it uses.\n"
|
||||
},
|
||||
"base_image": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
|
||||
},
|
||||
"checkpointer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/CheckpointerConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).\n"
|
||||
},
|
||||
"dependencies": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
},
|
||||
"description": "List of Python dependencies to install, either from PyPI or local paths.\n"
|
||||
},
|
||||
"dockerfile_lines": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
},
|
||||
"description": "Optional. Additional Docker instructions that will be appended to your base Dockerfile.\n\nUseful for installing OS packages, setting environment variables, etc."
|
||||
},
|
||||
"encryption": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/EncryptionConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Custom at-rest encryption config, including the path to your Python encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database.\n"
|
||||
},
|
||||
"env": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "string"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
|
||||
},
|
||||
"graphs": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"$ref": "#/$defs/GraphDef"
|
||||
}
|
||||
]
|
||||
},
|
||||
"description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
|
||||
},
|
||||
"http": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/HttpConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed\nand how cross-origin requests are handled.\n"
|
||||
},
|
||||
"image_distro": {
|
||||
"anyOf": [
|
||||
{
|
||||
"enum": [
|
||||
"bookworm",
|
||||
"debian",
|
||||
"wolfi"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
|
||||
},
|
||||
"keep_pkg_tools": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "boolean"
|
||||
},
|
||||
{
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Control whether to retain Python packaging tools in the final image.\n\nYou can also set to true to include all packaging tools.\n"
|
||||
},
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"$ref": "#/$defs/UvSource"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/StoreConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Configuration for the built-in long-term memory store, including semantic search indexing.\n\nIf omitted, no vector index is set up (the object store will still be present, however).\n"
|
||||
},
|
||||
"ui": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.\n"
|
||||
},
|
||||
"webhooks": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/WebhooksConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"graphs",
|
||||
"source"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
@@ -654,28 +405,13 @@
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/UvSource"
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
|
||||
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
@@ -1170,27 +906,6 @@
|
||||
},
|
||||
"required": []
|
||||
},
|
||||
"UvSource": {
|
||||
"title": "UvSource",
|
||||
"description": "Deployment source rooted at a uv project or workspace.",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"kind": {
|
||||
"enum": [
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
"package": {
|
||||
"type": "string"
|
||||
},
|
||||
"root": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"kind"
|
||||
]
|
||||
},
|
||||
"StoreConfig": {
|
||||
"title": "StoreConfig",
|
||||
"description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",
|
||||
|
||||
@@ -184,28 +184,13 @@
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/UvSource"
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
|
||||
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
@@ -249,240 +234,6 @@
|
||||
"graphs"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"python_version": {
|
||||
"type": "string",
|
||||
"description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
|
||||
"enum": [
|
||||
"3.11",
|
||||
"3.12",
|
||||
"3.13"
|
||||
]
|
||||
},
|
||||
"pip_config_file": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
|
||||
},
|
||||
"_INTERNAL_docker_tag": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Internal use only.\n"
|
||||
},
|
||||
"api_version": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
|
||||
},
|
||||
"auth": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/AuthConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Custom authentication config, including the path to your Python auth logic and\nthe OpenAPI security definitions it uses.\n"
|
||||
},
|
||||
"base_image": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
|
||||
},
|
||||
"checkpointer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/CheckpointerConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).\n"
|
||||
},
|
||||
"dependencies": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
},
|
||||
"description": "List of Python dependencies to install, either from PyPI or local paths.\n"
|
||||
},
|
||||
"dockerfile_lines": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
},
|
||||
"description": "Optional. Additional Docker instructions that will be appended to your base Dockerfile.\n\nUseful for installing OS packages, setting environment variables, etc."
|
||||
},
|
||||
"encryption": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/EncryptionConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Custom at-rest encryption config, including the path to your Python encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database.\n"
|
||||
},
|
||||
"env": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "string"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
|
||||
},
|
||||
"graphs": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"$ref": "#/$defs/GraphDef"
|
||||
}
|
||||
]
|
||||
},
|
||||
"description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
|
||||
},
|
||||
"http": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/HttpConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed\nand how cross-origin requests are handled.\n"
|
||||
},
|
||||
"image_distro": {
|
||||
"anyOf": [
|
||||
{
|
||||
"enum": [
|
||||
"bookworm",
|
||||
"debian",
|
||||
"wolfi"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
|
||||
},
|
||||
"keep_pkg_tools": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "boolean"
|
||||
},
|
||||
{
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Control whether to retain Python packaging tools in the final image.\n\nYou can also set to true to include all packaging tools.\n"
|
||||
},
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"$ref": "#/$defs/UvSource"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/StoreConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Configuration for the built-in long-term memory store, including semantic search indexing.\n\nIf omitted, no vector index is set up (the object store will still be present, however).\n"
|
||||
},
|
||||
"ui": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.\n"
|
||||
},
|
||||
"webhooks": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/WebhooksConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"graphs",
|
||||
"source"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
@@ -654,28 +405,13 @@
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/UvSource"
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
|
||||
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
@@ -1170,27 +906,6 @@
|
||||
},
|
||||
"required": []
|
||||
},
|
||||
"UvSource": {
|
||||
"title": "UvSource",
|
||||
"description": "Deployment source rooted at a uv project or workspace.",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"kind": {
|
||||
"enum": [
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
"package": {
|
||||
"type": "string"
|
||||
},
|
||||
"root": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"kind"
|
||||
]
|
||||
},
|
||||
"StoreConfig": {
|
||||
"title": "StoreConfig",
|
||||
"description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",
|
||||
|
||||
@@ -9,7 +9,7 @@ from pathlib import Path
|
||||
|
||||
from click.testing import CliRunner
|
||||
|
||||
import langgraph_cli.deploy as deploy_module
|
||||
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
|
||||
@@ -346,7 +346,7 @@ def test_deploy_list_command(monkeypatch) -> None:
|
||||
]
|
||||
}
|
||||
|
||||
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
|
||||
|
||||
result = runner.invoke(
|
||||
cli,
|
||||
@@ -386,7 +386,7 @@ def test_deploy_list_command_no_results(monkeypatch) -> None:
|
||||
def list_deployments(self, name_contains: str = ""):
|
||||
return {"resources": []}
|
||||
|
||||
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
|
||||
|
||||
result = runner.invoke(
|
||||
cli,
|
||||
@@ -432,7 +432,7 @@ def test_deploy_revisions_list_command(monkeypatch) -> None:
|
||||
]
|
||||
}
|
||||
|
||||
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
|
||||
|
||||
result = runner.invoke(
|
||||
cli,
|
||||
@@ -473,7 +473,7 @@ def test_deploy_revisions_list_command_no_results(monkeypatch) -> None:
|
||||
def list_revisions(self, deployment_id: str, limit: int = 1):
|
||||
return {"resources": []}
|
||||
|
||||
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
|
||||
|
||||
result = runner.invoke(
|
||||
cli,
|
||||
@@ -506,7 +506,7 @@ def test_deploy_revisions_list_command_with_explicit_limit(monkeypatch) -> None:
|
||||
captured["limit"] = str(limit)
|
||||
return {"resources": []}
|
||||
|
||||
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
|
||||
|
||||
result = runner.invoke(
|
||||
cli,
|
||||
@@ -552,7 +552,7 @@ def test_deploy_delete_command(monkeypatch) -> None:
|
||||
captured["deployment_id"] = deployment_id
|
||||
return None
|
||||
|
||||
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
|
||||
|
||||
result = runner.invoke(
|
||||
cli,
|
||||
@@ -594,7 +594,7 @@ def test_deploy_delete_command_cancelled(monkeypatch) -> None:
|
||||
deleted = True
|
||||
return None
|
||||
|
||||
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
|
||||
|
||||
result = runner.invoke(
|
||||
cli,
|
||||
@@ -629,7 +629,7 @@ def test_deploy_delete_command_force(monkeypatch) -> None:
|
||||
captured["deployment_id"] = deployment_id
|
||||
return None
|
||||
|
||||
monkeypatch.setattr(deploy_module, "HostBackendClient", FakeClient)
|
||||
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
|
||||
|
||||
result = runner.invoke(
|
||||
cli,
|
||||
|
||||
@@ -1,306 +0,0 @@
|
||||
import os
|
||||
import tarfile
|
||||
from unittest.mock import patch
|
||||
|
||||
import click
|
||||
import pytest
|
||||
|
||||
from langgraph_cli.archive import (
|
||||
_add_directory,
|
||||
_build_ignore_spec,
|
||||
_tar_filter,
|
||||
create_archive,
|
||||
)
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# _tar_filter
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestTarFilter:
|
||||
def _make_info(self, name: str, *, type_: int = tarfile.REGTYPE) -> tarfile.TarInfo:
|
||||
info = tarfile.TarInfo(name=name)
|
||||
info.type = type_
|
||||
return info
|
||||
|
||||
def test_regular_file_passes(self):
|
||||
info = self._make_info("src/main.py")
|
||||
assert _tar_filter(info) is info
|
||||
|
||||
def test_symlink_rejected(self):
|
||||
info = self._make_info("link", type_=tarfile.SYMTYPE)
|
||||
assert _tar_filter(info) is None
|
||||
|
||||
def test_hardlink_rejected(self):
|
||||
info = self._make_info("link", type_=tarfile.LNKTYPE)
|
||||
assert _tar_filter(info) is None
|
||||
|
||||
def test_path_traversal_rejected(self):
|
||||
info = self._make_info("../../etc/passwd")
|
||||
assert _tar_filter(info) is None
|
||||
|
||||
def test_path_traversal_in_middle_rejected(self):
|
||||
info = self._make_info("src/../../../etc/passwd")
|
||||
assert _tar_filter(info) is None
|
||||
|
||||
def test_dotdot_as_name_component_rejected(self):
|
||||
info = self._make_info("foo/../bar")
|
||||
assert _tar_filter(info) is None
|
||||
|
||||
def test_dotdot_in_filename_allowed(self):
|
||||
"""A file literally named 'foo..bar' is not traversal."""
|
||||
info = self._make_info("foo..bar")
|
||||
assert _tar_filter(info) is info
|
||||
|
||||
def test_directory_passes(self):
|
||||
info = self._make_info("src/", type_=tarfile.DIRTYPE)
|
||||
assert _tar_filter(info) is info
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# _build_ignore_spec
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestBuildIgnoreSpec:
|
||||
def test_always_excludes_builtins(self, tmp_path):
|
||||
spec = _build_ignore_spec(tmp_path)
|
||||
assert spec.match_file("__pycache__/")
|
||||
assert spec.match_file(".git/")
|
||||
assert spec.match_file(".venv/")
|
||||
assert spec.match_file("venv/")
|
||||
assert spec.match_file("node_modules/")
|
||||
assert spec.match_file(".tox/")
|
||||
assert spec.match_file(".mypy_cache/")
|
||||
|
||||
def test_regular_file_not_excluded(self, tmp_path):
|
||||
spec = _build_ignore_spec(tmp_path)
|
||||
assert not spec.match_file("main.py")
|
||||
assert not spec.match_file("src/app.py")
|
||||
|
||||
def test_merges_dockerignore(self, tmp_path):
|
||||
(tmp_path / ".dockerignore").write_text("*.log\nbuild/\n")
|
||||
spec = _build_ignore_spec(tmp_path)
|
||||
assert spec.match_file("server.log")
|
||||
assert spec.match_file("build/")
|
||||
# builtins still present
|
||||
assert spec.match_file("__pycache__/")
|
||||
|
||||
def test_merges_gitignore(self, tmp_path):
|
||||
(tmp_path / ".gitignore").write_text("*.pyc\ndist/\n")
|
||||
spec = _build_ignore_spec(tmp_path)
|
||||
assert spec.match_file("module.pyc")
|
||||
assert spec.match_file("dist/")
|
||||
|
||||
def test_merges_both_ignore_files(self, tmp_path):
|
||||
(tmp_path / ".dockerignore").write_text("*.log\n")
|
||||
(tmp_path / ".gitignore").write_text("*.pyc\n")
|
||||
spec = _build_ignore_spec(tmp_path)
|
||||
assert spec.match_file("app.log")
|
||||
assert spec.match_file("mod.pyc")
|
||||
|
||||
def test_can_skip_gitignore(self, tmp_path):
|
||||
(tmp_path / ".dockerignore").write_text("*.log\n")
|
||||
(tmp_path / ".gitignore").write_text("*.pyc\n")
|
||||
spec = _build_ignore_spec(tmp_path, include_gitignore=False)
|
||||
assert spec.match_file("app.log")
|
||||
assert not spec.match_file("mod.pyc")
|
||||
|
||||
def test_no_ignore_files_only_builtins(self, tmp_path):
|
||||
spec = _build_ignore_spec(tmp_path)
|
||||
assert spec.match_file("__pycache__/")
|
||||
assert not spec.match_file("README.md")
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# _add_directory
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestAddDirectory:
|
||||
def _create_project(self, tmp_path):
|
||||
"""Create a small project structure for testing."""
|
||||
(tmp_path / "main.py").write_text("print('hello')")
|
||||
(tmp_path / "lib").mkdir()
|
||||
(tmp_path / "lib" / "util.py").write_text("x = 1")
|
||||
(tmp_path / "__pycache__").mkdir()
|
||||
(tmp_path / "__pycache__" / "main.cpython-311.pyc").write_bytes(b"\x00")
|
||||
return tmp_path
|
||||
|
||||
def test_adds_files_without_prefix(self, tmp_path):
|
||||
project = self._create_project(tmp_path)
|
||||
spec = _build_ignore_spec(project)
|
||||
|
||||
archive_path = tmp_path / "out.tar"
|
||||
with tarfile.open(archive_path, "w") as tar:
|
||||
_add_directory(tar, project, arcname_prefix=None, ignore_spec=spec)
|
||||
|
||||
with tarfile.open(archive_path, "r") as tar:
|
||||
names = tar.getnames()
|
||||
assert "main.py" in names
|
||||
assert "lib/util.py" in names
|
||||
|
||||
def test_excludes_pycache(self, tmp_path):
|
||||
project = self._create_project(tmp_path)
|
||||
spec = _build_ignore_spec(project)
|
||||
|
||||
archive_path = tmp_path / "out.tar"
|
||||
with tarfile.open(archive_path, "w") as tar:
|
||||
_add_directory(tar, project, arcname_prefix=None, ignore_spec=spec)
|
||||
|
||||
with tarfile.open(archive_path, "r") as tar:
|
||||
names = tar.getnames()
|
||||
assert not any("__pycache__" in n for n in names)
|
||||
|
||||
def test_adds_files_with_prefix(self, tmp_path):
|
||||
project = self._create_project(tmp_path)
|
||||
spec = _build_ignore_spec(project)
|
||||
|
||||
archive_path = tmp_path / "out.tar"
|
||||
with tarfile.open(archive_path, "w") as tar:
|
||||
_add_directory(tar, project, arcname_prefix="myapp", ignore_spec=spec)
|
||||
|
||||
with tarfile.open(archive_path, "r") as tar:
|
||||
names = tar.getnames()
|
||||
assert "myapp/main.py" in names
|
||||
assert "myapp/lib/util.py" in names
|
||||
|
||||
def test_respects_custom_ignore_patterns(self, tmp_path):
|
||||
project = self._create_project(tmp_path)
|
||||
(project / ".gitignore").write_text("lib/\n")
|
||||
spec = _build_ignore_spec(project)
|
||||
|
||||
archive_path = tmp_path / "out.tar"
|
||||
with tarfile.open(archive_path, "w") as tar:
|
||||
_add_directory(tar, project, arcname_prefix=None, ignore_spec=spec)
|
||||
|
||||
with tarfile.open(archive_path, "r") as tar:
|
||||
names = tar.getnames()
|
||||
assert "main.py" in names
|
||||
assert "lib/util.py" not in names
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# create_archive (integration)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestCreateArchive:
|
||||
def _make_project(self, tmp_path):
|
||||
"""Set up a minimal project directory with a config file."""
|
||||
project = tmp_path / "myproject"
|
||||
project.mkdir()
|
||||
config_file = project / "langgraph.json"
|
||||
config_file.write_text('{"dependencies": ["."]}')
|
||||
(project / "app.py").write_text("print('hello')")
|
||||
(project / "__pycache__").mkdir()
|
||||
(project / "__pycache__" / "app.cpython-311.pyc").write_bytes(b"\x00")
|
||||
return config_file
|
||||
|
||||
@patch("langgraph_cli.archive._assemble_local_deps")
|
||||
def test_yields_archive_with_config(self, mock_deps, tmp_path):
|
||||
from langgraph_cli.config import LocalDeps
|
||||
|
||||
config_file = self._make_project(tmp_path)
|
||||
mock_deps.return_value = LocalDeps(
|
||||
pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
|
||||
)
|
||||
|
||||
with create_archive(config_file, {}) as (archive_path, file_size, config_rel):
|
||||
assert os.path.isfile(archive_path)
|
||||
assert archive_path.endswith(".tar.gz")
|
||||
assert file_size > 0
|
||||
assert config_rel == "langgraph.json"
|
||||
|
||||
with tarfile.open(archive_path, "r:gz") as tar:
|
||||
names = tar.getnames()
|
||||
assert "langgraph.json" in names
|
||||
assert "app.py" in names
|
||||
|
||||
@patch("langgraph_cli.archive._assemble_local_deps")
|
||||
def test_excludes_pycache(self, mock_deps, tmp_path):
|
||||
from langgraph_cli.config import LocalDeps
|
||||
|
||||
config_file = self._make_project(tmp_path)
|
||||
mock_deps.return_value = LocalDeps(
|
||||
pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
|
||||
)
|
||||
|
||||
with create_archive(config_file, {}) as (archive_path, _size, _rel):
|
||||
with tarfile.open(archive_path, "r:gz") as tar:
|
||||
names = tar.getnames()
|
||||
assert not any("__pycache__" in n for n in names)
|
||||
|
||||
@patch("langgraph_cli.archive._assemble_local_deps")
|
||||
def test_cleans_up_tmp_dir_on_normal_exit(self, mock_deps, tmp_path):
|
||||
from langgraph_cli.config import LocalDeps
|
||||
|
||||
config_file = self._make_project(tmp_path)
|
||||
mock_deps.return_value = LocalDeps(
|
||||
pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
|
||||
)
|
||||
|
||||
with create_archive(config_file, {}) as (archive_path, _size, _rel):
|
||||
tmp_dir = os.path.dirname(archive_path)
|
||||
assert os.path.isdir(tmp_dir)
|
||||
|
||||
assert not os.path.exists(tmp_dir)
|
||||
|
||||
@patch("langgraph_cli.archive._assemble_local_deps")
|
||||
def test_cleans_up_tmp_dir_on_exception(self, mock_deps, tmp_path):
|
||||
from langgraph_cli.config import LocalDeps
|
||||
|
||||
config_file = self._make_project(tmp_path)
|
||||
mock_deps.return_value = LocalDeps(
|
||||
pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
|
||||
)
|
||||
|
||||
with pytest.raises(RuntimeError, match="boom"):
|
||||
with create_archive(config_file, {}) as (archive_path, _size, _rel):
|
||||
tmp_dir = os.path.dirname(archive_path)
|
||||
raise RuntimeError("boom")
|
||||
|
||||
assert not os.path.exists(tmp_dir)
|
||||
|
||||
@patch("langgraph_cli.archive._assemble_local_deps")
|
||||
@patch("langgraph_cli.archive._MAX_SIZE", 10)
|
||||
def test_raises_on_oversized_archive(self, mock_deps, tmp_path):
|
||||
from langgraph_cli.config import LocalDeps
|
||||
|
||||
config_file = self._make_project(tmp_path)
|
||||
mock_deps.return_value = LocalDeps(
|
||||
pip_reqs=[], real_pkgs={}, faux_pkgs={}, additional_contexts=None
|
||||
)
|
||||
|
||||
with pytest.raises(click.ClickException, match="exceeds the 200 MB limit"):
|
||||
with create_archive(config_file, {}):
|
||||
pass
|
||||
|
||||
@patch("langgraph_cli.archive._assemble_local_deps")
|
||||
def test_handles_extra_contexts(self, mock_deps, tmp_path):
|
||||
"""Monorepo case: project + sibling dependency directory."""
|
||||
from langgraph_cli.config import LocalDeps
|
||||
|
||||
project = tmp_path / "myproject"
|
||||
project.mkdir()
|
||||
config_file = project / "langgraph.json"
|
||||
config_file.write_text('{"dependencies": [".", "../shared"]}')
|
||||
(project / "app.py").write_text("print('hello')")
|
||||
|
||||
shared = tmp_path / "shared"
|
||||
shared.mkdir()
|
||||
(shared / "lib.py").write_text("y = 2")
|
||||
|
||||
mock_deps.return_value = LocalDeps(
|
||||
pip_reqs=[],
|
||||
real_pkgs={},
|
||||
faux_pkgs={},
|
||||
additional_contexts=[shared],
|
||||
)
|
||||
|
||||
with create_archive(config_file, {}) as (archive_path, _size, config_rel):
|
||||
with tarfile.open(archive_path, "r:gz") as tar:
|
||||
names = tar.getnames()
|
||||
assert "myproject/app.py" in names
|
||||
assert "shared/lib.py" in names
|
||||
assert config_rel == "myproject/langgraph.json"
|
||||
File diff suppressed because it is too large
Load Diff
@@ -6,14 +6,12 @@ import click
|
||||
import httpx
|
||||
import pytest
|
||||
|
||||
from langgraph_cli.deploy import (
|
||||
from langgraph_cli.cli import (
|
||||
_call_host_backend_with_optional_tenant,
|
||||
_docker_config_for_token,
|
||||
_env_without_deployment_name,
|
||||
_normalize_image_name,
|
||||
_normalize_image_tag,
|
||||
_parse_env_from_config,
|
||||
_resolve_env_path,
|
||||
normalize_image_name,
|
||||
normalize_image_tag,
|
||||
)
|
||||
from langgraph_cli.host_backend import HostBackendClient, HostBackendError
|
||||
|
||||
@@ -42,47 +40,47 @@ class TestDockerConfigForToken:
|
||||
|
||||
class TestNormalizeImageName:
|
||||
def test_simple_name(self):
|
||||
assert normalize_image_name("myapp") == "myapp"
|
||||
assert _normalize_image_name("myapp") == "myapp"
|
||||
|
||||
def test_uppercase_lowered(self):
|
||||
assert normalize_image_name("MyApp") == "myapp"
|
||||
assert _normalize_image_name("MyApp") == "myapp"
|
||||
|
||||
def test_special_chars_replaced(self):
|
||||
assert normalize_image_name("my app!@#v2") == "my-app-v2"
|
||||
assert _normalize_image_name("my app!@#v2") == "my-app-v2"
|
||||
|
||||
def test_dots_and_hyphens_kept(self):
|
||||
assert normalize_image_name("my-app.v2") == "my-app.v2"
|
||||
assert _normalize_image_name("my-app.v2") == "my-app.v2"
|
||||
|
||||
def test_leading_trailing_stripped(self):
|
||||
assert normalize_image_name("--my-app..") == "my-app"
|
||||
assert _normalize_image_name("--my-app..") == "my-app"
|
||||
|
||||
def test_empty_string_returns_app(self):
|
||||
assert normalize_image_name("") == "app"
|
||||
assert _normalize_image_name("") == "app"
|
||||
|
||||
def test_none_returns_app(self):
|
||||
assert normalize_image_name(None) == "app"
|
||||
assert _normalize_image_name(None) == "app"
|
||||
|
||||
def test_all_invalid_chars_returns_app(self):
|
||||
assert normalize_image_name("!!!") == "app"
|
||||
assert _normalize_image_name("!!!") == "app"
|
||||
|
||||
|
||||
class TestNormalizeImageTag:
|
||||
def test_valid_tag(self):
|
||||
assert normalize_image_tag("v1.2.3") == "v1.2.3"
|
||||
assert _normalize_image_tag("v1.2.3") == "v1.2.3"
|
||||
|
||||
def test_empty_defaults_to_latest(self):
|
||||
assert normalize_image_tag("") == "latest"
|
||||
assert _normalize_image_tag("") == "latest"
|
||||
|
||||
def test_alphanumeric_and_special(self):
|
||||
assert normalize_image_tag("my_tag-1.0") == "my_tag-1.0"
|
||||
assert _normalize_image_tag("my_tag-1.0") == "my_tag-1.0"
|
||||
|
||||
def test_invalid_chars_raises(self):
|
||||
with pytest.raises(click.UsageError, match="Image tag may only contain"):
|
||||
normalize_image_tag("v1.0:bad")
|
||||
_normalize_image_tag("v1.0:bad")
|
||||
|
||||
def test_spaces_raises(self):
|
||||
with pytest.raises(click.UsageError, match="Image tag may only contain"):
|
||||
normalize_image_tag("has space")
|
||||
_normalize_image_tag("has space")
|
||||
|
||||
|
||||
class TestParseEnvFromConfig:
|
||||
@@ -139,51 +137,6 @@ class TestParseEnvFromConfig:
|
||||
assert result["EMPTY"] == ""
|
||||
|
||||
|
||||
class TestResolveEnvPath:
|
||||
def test_inline_env_dict_returns_none(self, tmp_path):
|
||||
config_path = tmp_path / "langgraph.json"
|
||||
config_path.touch()
|
||||
assert _resolve_env_path({"env": {"FOO": "bar"}}, config_path) is None
|
||||
|
||||
def test_relative_env_path_resolves(self, tmp_path):
|
||||
env_file = tmp_path / "custom.env"
|
||||
env_file.write_text("FOO=bar\n")
|
||||
config_path = tmp_path / "langgraph.json"
|
||||
config_path.touch()
|
||||
|
||||
resolved = _resolve_env_path({"env": "custom.env"}, config_path)
|
||||
assert resolved == env_file.resolve()
|
||||
|
||||
def test_missing_env_file_returns_none(self, tmp_path):
|
||||
config_path = tmp_path / "langgraph.json"
|
||||
config_path.touch()
|
||||
assert _resolve_env_path({"env": "missing.env"}, config_path) is None
|
||||
|
||||
def test_default_env_is_cwd_dotenv(self, tmp_path, monkeypatch):
|
||||
monkeypatch.chdir(tmp_path)
|
||||
config_path = tmp_path / "langgraph.json"
|
||||
config_path.touch()
|
||||
assert _resolve_env_path({}, config_path) == tmp_path / ".env"
|
||||
|
||||
|
||||
class TestEnvWithoutDeploymentName:
|
||||
def test_removes_deployment_name_only(self):
|
||||
env = {
|
||||
"LANGSMITH_DEPLOYMENT_NAME": "my-deploy",
|
||||
"KEEP_ME": "value",
|
||||
}
|
||||
cleaned = _env_without_deployment_name(env)
|
||||
|
||||
assert "LANGSMITH_DEPLOYMENT_NAME" not in cleaned
|
||||
assert cleaned["KEEP_ME"] == "value"
|
||||
# Original dict should be unchanged.
|
||||
assert env["LANGSMITH_DEPLOYMENT_NAME"] == "my-deploy"
|
||||
|
||||
def test_noop_when_deployment_name_absent(self):
|
||||
env = {"FOO": "bar"}
|
||||
assert _env_without_deployment_name(env) == {"FOO": "bar"}
|
||||
|
||||
|
||||
class TestCallHostBackendWithOptionalTenant:
|
||||
def _make_client(self, handler):
|
||||
c = HostBackendClient("https://api.example.com", "test-key")
|
||||
|
||||
@@ -121,9 +121,7 @@ def test_request_transport_error_raises():
|
||||
|
||||
|
||||
def test_create_deployment(client):
|
||||
result = client.create_deployment(
|
||||
name="my-deploy", deployment_type="dev", source="internal_docker"
|
||||
)
|
||||
result = client.create_deployment({"name": "my-deploy"})
|
||||
assert result == {"ok": True}
|
||||
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from langgraph_cli.deploy import format_log_entry, format_timestamp, level_fg
|
||||
from langgraph_cli.helpers import format_log_entry, format_timestamp, level_fg
|
||||
|
||||
|
||||
class TestFormatTimestamp:
|
||||
|
||||
@@ -1,11 +1,12 @@
|
||||
from unittest.mock import patch
|
||||
|
||||
from langgraph_cli.deploy import (
|
||||
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():
|
||||
|
||||
@@ -1 +0,0 @@
|
||||
OPENAI_API_KEY=
|
||||
@@ -1,12 +0,0 @@
|
||||
{
|
||||
"python_version": "3.12",
|
||||
"graphs": {
|
||||
"agent": "./src/agent/graph.py:graph"
|
||||
},
|
||||
"source": {
|
||||
"kind": "uv",
|
||||
"root": "../..",
|
||||
"package": "agent"
|
||||
},
|
||||
"env": ".env"
|
||||
}
|
||||
@@ -1,20 +0,0 @@
|
||||
[project]
|
||||
name = "agent"
|
||||
version = "0.0.1"
|
||||
description = "Agent for the uv monorepo example"
|
||||
requires-python = ">=3.11"
|
||||
dependencies = [
|
||||
"langgraph>=0.6.0,<2",
|
||||
"langchain-core>=0.2.14",
|
||||
"shared",
|
||||
]
|
||||
|
||||
[build-system]
|
||||
requires = ["setuptools>=73.0.0", "wheel"]
|
||||
build-backend = "setuptools.build_meta"
|
||||
|
||||
[tool.setuptools]
|
||||
packages = ["agent"]
|
||||
|
||||
[tool.setuptools.package-dir]
|
||||
"agent" = "src/agent"
|
||||
@@ -1,31 +0,0 @@
|
||||
from collections.abc import Sequence
|
||||
from typing import Annotated, TypedDict
|
||||
|
||||
from langchain_core.messages import AIMessage, BaseMessage
|
||||
from langgraph.graph import END, START, StateGraph
|
||||
from langgraph.graph.message import add_messages
|
||||
from shared import get_dummy_message
|
||||
|
||||
|
||||
class State(TypedDict):
|
||||
messages: Annotated[Sequence[BaseMessage], add_messages]
|
||||
|
||||
|
||||
def call_model(state: State) -> dict:
|
||||
dummy_message = get_dummy_message()
|
||||
message = AIMessage(content=f"Agent says: {dummy_message}")
|
||||
return {"messages": [message]}
|
||||
|
||||
|
||||
def should_continue(state: State):
|
||||
if len(state["messages"]) > 0:
|
||||
return END
|
||||
return "call_model"
|
||||
|
||||
|
||||
workflow = StateGraph(State)
|
||||
workflow.add_node("call_model", call_model)
|
||||
workflow.add_edge(START, "call_model")
|
||||
workflow.add_conditional_edges("call_model", should_continue)
|
||||
|
||||
graph = workflow.compile()
|
||||
@@ -1,16 +0,0 @@
|
||||
[project]
|
||||
name = "shared"
|
||||
version = "0.0.1"
|
||||
description = "Shared utilities for the uv monorepo example"
|
||||
requires-python = ">=3.11"
|
||||
dependencies = []
|
||||
|
||||
[build-system]
|
||||
requires = ["setuptools>=73.0.0", "wheel"]
|
||||
build-backend = "setuptools.build_meta"
|
||||
|
||||
[tool.setuptools]
|
||||
packages = ["shared"]
|
||||
|
||||
[tool.setuptools.package-dir]
|
||||
"shared" = "src/shared"
|
||||
@@ -1,3 +0,0 @@
|
||||
from .utils import get_dummy_message
|
||||
|
||||
__all__ = ["get_dummy_message"]
|
||||
@@ -1,2 +0,0 @@
|
||||
def get_dummy_message() -> str:
|
||||
return "Hello from shared library!"
|
||||
@@ -1,22 +0,0 @@
|
||||
[project]
|
||||
name = "uv-monorepo-example"
|
||||
version = "0.0.1"
|
||||
description = "uv workspace monorepo example for LangGraph CLI integration test"
|
||||
requires-python = ">=3.11"
|
||||
dependencies = [
|
||||
"langgraph>=0.6.0,<2",
|
||||
"langchain-core>=0.2.14",
|
||||
]
|
||||
|
||||
[tool.uv.workspace]
|
||||
members = ["apps/*", "libs/*"]
|
||||
|
||||
[tool.uv.sources]
|
||||
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@@ -1 +0,0 @@
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OPENAI_API_KEY=
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@@ -1,11 +0,0 @@
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[tool.setuptools.package-dir]
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@@ -1,29 +0,0 @@
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from langgraph.graph import END, START, StateGraph
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Generated
+727
-831
File diff suppressed because it is too large
Load Diff
@@ -217,16 +217,14 @@ def get_callback_manager_for_config(
|
||||
callbacks.add_tags(all_tags)
|
||||
if metadata := config.get("metadata"):
|
||||
callbacks.add_metadata(metadata)
|
||||
manager = callbacks
|
||||
return callbacks
|
||||
else:
|
||||
# otherwise create a new manager
|
||||
manager = CallbackManager.configure(
|
||||
return CallbackManager.configure(
|
||||
inheritable_callbacks=config.get("callbacks"),
|
||||
inheritable_tags=all_tags,
|
||||
inheritable_metadata=config.get("metadata"),
|
||||
langsmith_inheritable_metadata=_get_tracing_metadata_defaults(config),
|
||||
)
|
||||
return manager
|
||||
|
||||
|
||||
def get_async_callback_manager_for_config(
|
||||
@@ -257,16 +255,14 @@ def get_async_callback_manager_for_config(
|
||||
callbacks.add_tags(all_tags)
|
||||
if metadata := config.get("metadata"):
|
||||
callbacks.add_metadata(metadata)
|
||||
manager = callbacks
|
||||
return callbacks
|
||||
else:
|
||||
# otherwise create a new manager
|
||||
manager = AsyncCallbackManager.configure(
|
||||
return AsyncCallbackManager.configure(
|
||||
inheritable_callbacks=config.get("callbacks"),
|
||||
inheritable_tags=all_tags,
|
||||
inheritable_metadata=config.get("metadata"),
|
||||
langsmith_inheritable_metadata=_get_tracing_metadata_defaults(config),
|
||||
)
|
||||
return manager
|
||||
|
||||
|
||||
def _is_not_empty(value: Any) -> bool:
|
||||
@@ -312,54 +308,4 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
|
||||
for k, v in config.items():
|
||||
if _is_not_empty(v) and k not in CONFIG_KEYS:
|
||||
empty[CONF][k] = v
|
||||
|
||||
configurable = empty.get("configurable")
|
||||
metadata = empty.get("metadata")
|
||||
if configurable and metadata is not None:
|
||||
for key in _PROPAGATE_TO_METADATA:
|
||||
if key in metadata:
|
||||
continue
|
||||
value = configurable.get(key)
|
||||
if value:
|
||||
metadata[key] = value
|
||||
return empty
|
||||
|
||||
|
||||
_OMIT = ("key", "token", "secret", "password", "auth")
|
||||
|
||||
|
||||
def _exclude_as_metadata(key: str, value: Any) -> bool:
|
||||
key_lower = key.casefold()
|
||||
return (
|
||||
key.startswith("__")
|
||||
or not isinstance(value, (str, int, float, bool))
|
||||
or any(substr in key_lower for substr in _OMIT)
|
||||
)
|
||||
|
||||
|
||||
def _get_tracing_metadata_defaults(
|
||||
config: RunnableConfig,
|
||||
) -> dict[str, Any] | None:
|
||||
"""Get tracer-only metadata defaults from configurable values."""
|
||||
configurable = config.get("configurable")
|
||||
if not configurable:
|
||||
return None
|
||||
metadata: dict[str, Any] = {}
|
||||
for key, value in configurable.items():
|
||||
if _exclude_as_metadata(key, value):
|
||||
continue
|
||||
metadata[key] = value
|
||||
return metadata or None
|
||||
|
||||
|
||||
_PROPAGATE_TO_METADATA = frozenset(
|
||||
(
|
||||
"thread_id",
|
||||
"checkpoint_id",
|
||||
"checkpoint_ns",
|
||||
"task_id",
|
||||
"run_id",
|
||||
"assistant_id",
|
||||
"graph_id",
|
||||
)
|
||||
)
|
||||
|
||||
@@ -66,9 +66,6 @@ CONFIG_KEY_RUNTIME = sys.intern("__pregel_runtime")
|
||||
# holds a `Runtime` instance with context, store, stream writer, etc.
|
||||
CONFIG_KEY_RESUME_MAP = sys.intern("__pregel_resume_map")
|
||||
# holds a mapping of task ns -> resume value for resuming tasks
|
||||
CONFIG_KEY_STREAM_MESSAGES_V2 = sys.intern("__pregel_stream_messages_v2")
|
||||
# when True, attach StreamMessagesHandlerV2 so content-block (v2) events
|
||||
# flow through stream_mode="messages"; set by StreamingHandler only.
|
||||
|
||||
# --- Other constants ---
|
||||
PUSH = sys.intern("__pregel_push")
|
||||
@@ -110,7 +107,6 @@ RESERVED = {
|
||||
CONFIG_KEY_CHECKPOINT_ID,
|
||||
CONFIG_KEY_CHECKPOINT_NS,
|
||||
CONFIG_KEY_RESUME_MAP,
|
||||
CONFIG_KEY_STREAM_MESSAGES_V2,
|
||||
# other constants
|
||||
PUSH,
|
||||
PULL,
|
||||
|
||||
@@ -1,394 +0,0 @@
|
||||
"""Graph lifecycle callback interfaces and event payloads.
|
||||
|
||||
This module defines the public callback surface for observing LangGraph-specific
|
||||
lifecycle transitions such as interrupt and resume.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import Sequence
|
||||
from dataclasses import dataclass
|
||||
from typing import Any, Literal, TypeAlias, TypeVar
|
||||
from uuid import UUID
|
||||
|
||||
from langchain_core.callbacks import BaseCallbackHandler, BaseCallbackManager
|
||||
from langchain_core.callbacks.manager import ahandle_event, handle_event
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
|
||||
from langgraph.types import Interrupt
|
||||
|
||||
__all__ = (
|
||||
"GraphCallbackHandler",
|
||||
"GraphInterruptEvent",
|
||||
"GraphLifecycleEvent",
|
||||
"GraphLifecycleStatus",
|
||||
"GraphResumeEvent",
|
||||
"get_async_graph_callback_manager_for_config",
|
||||
"get_sync_graph_callback_manager_for_config",
|
||||
)
|
||||
|
||||
|
||||
GraphLifecycleStatus: TypeAlias = Literal[
|
||||
"input",
|
||||
"pending",
|
||||
"done",
|
||||
"interrupt_before",
|
||||
"interrupt_after",
|
||||
"out_of_steps",
|
||||
]
|
||||
"""Allowed lifecycle statuses reported in graph lifecycle callback events."""
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class GraphInterruptEvent:
|
||||
"""Graph lifecycle event emitted when execution pauses for interrupts."""
|
||||
|
||||
run_id: UUID | None
|
||||
"""Run id for the current graph execution, if available."""
|
||||
|
||||
status: GraphLifecycleStatus
|
||||
"""Loop status when the interrupt was captured."""
|
||||
|
||||
checkpoint_id: str
|
||||
"""Checkpoint id associated with the interrupted execution."""
|
||||
|
||||
checkpoint_ns: tuple[str, ...]
|
||||
"""Checkpoint namespace path for the current graph or subgraph."""
|
||||
|
||||
interrupts: tuple[Interrupt, ...]
|
||||
"""Interrupt payloads that caused the graph to pause."""
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class GraphResumeEvent:
|
||||
"""Graph lifecycle event emitted when execution resumes from a checkpoint."""
|
||||
|
||||
run_id: UUID | None
|
||||
"""Run id for the current graph execution, if available."""
|
||||
|
||||
status: GraphLifecycleStatus
|
||||
"""Loop status when the resume was captured."""
|
||||
|
||||
checkpoint_id: str
|
||||
"""Checkpoint id the graph resumed from."""
|
||||
|
||||
checkpoint_ns: tuple[str, ...]
|
||||
"""Checkpoint namespace path for the current graph or subgraph."""
|
||||
|
||||
|
||||
GraphLifecycleEvent: TypeAlias = GraphInterruptEvent | GraphResumeEvent
|
||||
"""Union of all public graph lifecycle callback event payloads.
|
||||
|
||||
Use this alias when a callback or helper can receive either interrupt or resume
|
||||
lifecycle events.
|
||||
"""
|
||||
|
||||
|
||||
class GraphCallbackHandler(BaseCallbackHandler):
|
||||
"""Base class for graph-level lifecycle callbacks.
|
||||
|
||||
Subclass this handler to observe graph lifecycle transitions that are
|
||||
specific to LangGraph execution, rather than generic LangChain runnable
|
||||
callbacks.
|
||||
|
||||
Instances can be passed through `config["callbacks"]` when invoking a
|
||||
graph. Only handlers that inherit from `GraphCallbackHandler` receive these
|
||||
lifecycle events.
|
||||
"""
|
||||
|
||||
def on_interrupt(self, event: GraphInterruptEvent) -> Any:
|
||||
"""Run when graph execution pauses due to one or more interrupts.
|
||||
|
||||
Args:
|
||||
event: Interrupt lifecycle event payload.
|
||||
"""
|
||||
|
||||
def on_resume(self, event: GraphResumeEvent) -> Any:
|
||||
"""Run when graph execution resumes from a persisted checkpoint.
|
||||
|
||||
Args:
|
||||
event: Resume lifecycle event payload.
|
||||
"""
|
||||
|
||||
|
||||
_MISSING = object()
|
||||
|
||||
|
||||
def _filter_graph_handlers(
|
||||
handlers: list[BaseCallbackHandler],
|
||||
) -> list[GraphCallbackHandler]:
|
||||
return [h for h in handlers if isinstance(h, GraphCallbackHandler)]
|
||||
|
||||
|
||||
def _init_base_manager(
|
||||
manager: BaseCallbackManager,
|
||||
handlers: Sequence[GraphCallbackHandler] | None,
|
||||
inheritable_handlers: Sequence[GraphCallbackHandler] | None,
|
||||
parent_run_id: UUID | None,
|
||||
*,
|
||||
tags: list[str] | None,
|
||||
inheritable_tags: list[str] | None,
|
||||
metadata: dict[str, Any] | None,
|
||||
inheritable_metadata: dict[str, Any] | None,
|
||||
run_id: UUID | None,
|
||||
) -> None:
|
||||
base_handlers: list[BaseCallbackHandler] = []
|
||||
base_inheritable_handlers: list[BaseCallbackHandler] = []
|
||||
if handlers is not None:
|
||||
base_handlers.extend(handlers)
|
||||
if inheritable_handlers is not None:
|
||||
base_inheritable_handlers.extend(inheritable_handlers)
|
||||
BaseCallbackManager.__init__(
|
||||
manager,
|
||||
handlers=base_handlers,
|
||||
inheritable_handlers=base_inheritable_handlers,
|
||||
parent_run_id=parent_run_id,
|
||||
tags=tags,
|
||||
inheritable_tags=inheritable_tags,
|
||||
metadata=metadata,
|
||||
inheritable_metadata=inheritable_metadata,
|
||||
)
|
||||
manager.run_id = run_id # type: ignore[attr-defined]
|
||||
|
||||
|
||||
def _configure_graph_callbacks(
|
||||
cls: type[_GraphManagerT],
|
||||
callbacks: object | None,
|
||||
*,
|
||||
run_id: UUID | None,
|
||||
) -> _GraphManagerT:
|
||||
if callbacks is None:
|
||||
return cls(run_id=run_id)
|
||||
if isinstance(callbacks, cls):
|
||||
return callbacks.copy(run_id=run_id)
|
||||
if isinstance(callbacks, (_GraphCallbackManager, _AsyncGraphCallbackManager)):
|
||||
# Cross-type: extract handlers into the requested cls.
|
||||
return cls(
|
||||
handlers=_filter_graph_handlers(callbacks.handlers),
|
||||
inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
|
||||
parent_run_id=callbacks.parent_run_id,
|
||||
tags=callbacks.tags.copy(),
|
||||
inheritable_tags=callbacks.inheritable_tags.copy(),
|
||||
metadata=callbacks.metadata.copy(),
|
||||
inheritable_metadata=callbacks.inheritable_metadata.copy(),
|
||||
run_id=run_id,
|
||||
)
|
||||
if isinstance(callbacks, BaseCallbackManager):
|
||||
return cls(
|
||||
handlers=_filter_graph_handlers(callbacks.handlers),
|
||||
inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
|
||||
parent_run_id=callbacks.parent_run_id,
|
||||
tags=callbacks.tags.copy(),
|
||||
inheritable_tags=callbacks.inheritable_tags.copy(),
|
||||
metadata=callbacks.metadata.copy(),
|
||||
inheritable_metadata=callbacks.inheritable_metadata.copy(),
|
||||
run_id=run_id,
|
||||
)
|
||||
if isinstance(callbacks, GraphCallbackHandler):
|
||||
return cls((callbacks,), run_id=run_id)
|
||||
if isinstance(callbacks, (str, bytes)) or not isinstance(callbacks, Sequence):
|
||||
raise TypeError("callbacks must be a handler, sequence, or manager")
|
||||
return cls(_filter_graph_handlers(list(callbacks)), run_id=run_id)
|
||||
|
||||
|
||||
def _copy_graph_manager(
|
||||
manager: _GraphCallbackManager | _AsyncGraphCallbackManager,
|
||||
cls: type[_GraphManagerT],
|
||||
run_id: UUID | None | object,
|
||||
) -> _GraphManagerT:
|
||||
resolved_run_id: UUID | None
|
||||
if run_id is _MISSING:
|
||||
resolved_run_id = manager.run_id
|
||||
else:
|
||||
if run_id is not None and not isinstance(run_id, UUID):
|
||||
raise TypeError("run_id must be a UUID or None")
|
||||
resolved_run_id = run_id
|
||||
|
||||
return cls(
|
||||
handlers=_filter_graph_handlers(manager.handlers),
|
||||
inheritable_handlers=_filter_graph_handlers(manager.inheritable_handlers),
|
||||
parent_run_id=manager.parent_run_id,
|
||||
tags=manager.tags.copy(),
|
||||
inheritable_tags=manager.inheritable_tags.copy(),
|
||||
metadata=manager.metadata.copy(),
|
||||
inheritable_metadata=manager.inheritable_metadata.copy(),
|
||||
run_id=resolved_run_id,
|
||||
)
|
||||
|
||||
|
||||
class _GraphCallbackManager(BaseCallbackManager):
|
||||
"""Sync dispatcher for graph lifecycle events."""
|
||||
|
||||
run_id: UUID | None
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
handlers: Sequence[GraphCallbackHandler] | None = None,
|
||||
inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
|
||||
parent_run_id: UUID | None = None,
|
||||
*,
|
||||
tags: list[str] | None = None,
|
||||
inheritable_tags: list[str] | None = None,
|
||||
metadata: dict[str, Any] | None = None,
|
||||
inheritable_metadata: dict[str, Any] | None = None,
|
||||
run_id: UUID | None = None,
|
||||
) -> None:
|
||||
_init_base_manager(
|
||||
self,
|
||||
handlers,
|
||||
inheritable_handlers,
|
||||
parent_run_id,
|
||||
tags=tags,
|
||||
inheritable_tags=inheritable_tags,
|
||||
metadata=metadata,
|
||||
inheritable_metadata=inheritable_metadata,
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
def copy(
|
||||
self,
|
||||
*,
|
||||
run_id: UUID | None | object = _MISSING,
|
||||
) -> _GraphCallbackManager:
|
||||
return _copy_graph_manager(self, _GraphCallbackManager, run_id)
|
||||
|
||||
@classmethod
|
||||
def configure(
|
||||
cls,
|
||||
callbacks: object | None = None,
|
||||
*,
|
||||
run_id: UUID | None = None,
|
||||
) -> _GraphCallbackManager:
|
||||
return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
|
||||
|
||||
def on_interrupt(self, event: GraphInterruptEvent) -> None:
|
||||
handle_event(
|
||||
self.handlers,
|
||||
"on_interrupt",
|
||||
None,
|
||||
event,
|
||||
)
|
||||
|
||||
def on_resume(self, event: GraphResumeEvent) -> None:
|
||||
handle_event(
|
||||
self.handlers,
|
||||
"on_resume",
|
||||
None,
|
||||
event,
|
||||
)
|
||||
|
||||
|
||||
class _AsyncGraphCallbackManager(BaseCallbackManager):
|
||||
"""Async dispatcher for graph lifecycle events."""
|
||||
|
||||
run_id: UUID | None
|
||||
|
||||
@property
|
||||
def is_async(self) -> bool:
|
||||
"""Return whether the manager is async."""
|
||||
return True
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
handlers: Sequence[GraphCallbackHandler] | None = None,
|
||||
inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
|
||||
parent_run_id: UUID | None = None,
|
||||
*,
|
||||
tags: list[str] | None = None,
|
||||
inheritable_tags: list[str] | None = None,
|
||||
metadata: dict[str, Any] | None = None,
|
||||
inheritable_metadata: dict[str, Any] | None = None,
|
||||
run_id: UUID | None = None,
|
||||
) -> None:
|
||||
_init_base_manager(
|
||||
self,
|
||||
handlers,
|
||||
inheritable_handlers,
|
||||
parent_run_id,
|
||||
tags=tags,
|
||||
inheritable_tags=inheritable_tags,
|
||||
metadata=metadata,
|
||||
inheritable_metadata=inheritable_metadata,
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
def copy(
|
||||
self,
|
||||
*,
|
||||
run_id: UUID | None | object = _MISSING,
|
||||
) -> _AsyncGraphCallbackManager:
|
||||
return _copy_graph_manager(self, _AsyncGraphCallbackManager, run_id)
|
||||
|
||||
@classmethod
|
||||
def configure(
|
||||
cls,
|
||||
callbacks: object | None = None,
|
||||
*,
|
||||
run_id: UUID | None = None,
|
||||
) -> _AsyncGraphCallbackManager:
|
||||
return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
|
||||
|
||||
async def on_interrupt(self, event: GraphInterruptEvent) -> None:
|
||||
await ahandle_event(
|
||||
self.handlers,
|
||||
"on_interrupt",
|
||||
None,
|
||||
event,
|
||||
)
|
||||
|
||||
async def on_resume(self, event: GraphResumeEvent) -> None:
|
||||
await ahandle_event(
|
||||
self.handlers,
|
||||
"on_resume",
|
||||
None,
|
||||
event,
|
||||
)
|
||||
|
||||
|
||||
_GraphManagerT = TypeVar(
|
||||
"_GraphManagerT", _GraphCallbackManager, _AsyncGraphCallbackManager
|
||||
)
|
||||
|
||||
GraphCallbacks: TypeAlias = (
|
||||
_GraphCallbackManager
|
||||
| _AsyncGraphCallbackManager
|
||||
| BaseCallbackManager
|
||||
| GraphCallbackHandler
|
||||
| Sequence[BaseCallbackHandler]
|
||||
| Sequence[GraphCallbackHandler]
|
||||
| None
|
||||
)
|
||||
|
||||
|
||||
def get_sync_graph_callback_manager_for_config(
|
||||
config: RunnableConfig,
|
||||
*,
|
||||
run_id: UUID | None = None,
|
||||
) -> _GraphCallbackManager:
|
||||
"""Build a sync graph lifecycle callback manager from a runnable config.
|
||||
|
||||
This helper filters `config["callbacks"]` down to handlers that inherit
|
||||
from `GraphCallbackHandler` and binds the provided `run_id` onto the
|
||||
returned manager.
|
||||
"""
|
||||
return _GraphCallbackManager.configure(
|
||||
config.get("callbacks"),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
|
||||
def get_async_graph_callback_manager_for_config(
|
||||
config: RunnableConfig,
|
||||
*,
|
||||
run_id: UUID | None = None,
|
||||
) -> _AsyncGraphCallbackManager:
|
||||
"""Build an async graph lifecycle callback manager from a runnable config.
|
||||
|
||||
This helper filters `config["callbacks"]` down to handlers that inherit
|
||||
from `GraphCallbackHandler` and binds the provided `run_id` onto the
|
||||
returned manager.
|
||||
"""
|
||||
return _AsyncGraphCallbackManager.configure(
|
||||
config.get("callbacks"),
|
||||
run_id=run_id,
|
||||
)
|
||||
@@ -1045,7 +1045,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
interrupt_after: All | list[str] | None = None,
|
||||
debug: bool = False,
|
||||
name: str | None = None,
|
||||
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
|
||||
) -> CompiledStateGraph[StateT, ContextT, InputT, OutputT]:
|
||||
"""Compiles the `StateGraph` into a `CompiledStateGraph` object.
|
||||
|
||||
@@ -1078,13 +1077,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
interrupt_after: An optional list of node names to interrupt after.
|
||||
debug: A flag indicating whether to enable debug mode.
|
||||
name: The name to use for the compiled graph.
|
||||
transformers: Optional sequence of `StreamTransformer` classes or
|
||||
configured factories. Classes and factories are instantiated
|
||||
per run whenever `stream_v2` / `astream_v2` is called and are
|
||||
propagated to subgraph scopes. Custom factories should follow
|
||||
the standard `StreamTransformer` constructor shape by
|
||||
accepting `scope` as their first argument. Appended after the
|
||||
built-in stream transformers.
|
||||
|
||||
Returns:
|
||||
CompiledStateGraph: The compiled `StateGraph`.
|
||||
@@ -1167,7 +1159,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
store=store,
|
||||
cache=cache,
|
||||
name=name or "LangGraph",
|
||||
stream_transformers=transformers,
|
||||
)
|
||||
compiled._serde_allowlist = serde_allowlist
|
||||
|
||||
|
||||
@@ -45,7 +45,6 @@ from langgraph._internal._constants import (
|
||||
CONFIG_KEY_SCRATCHPAD,
|
||||
CONFIG_KEY_SEND,
|
||||
CONFIG_KEY_TASK_ID,
|
||||
CONFIG_KEY_THREAD_ID,
|
||||
ERROR,
|
||||
INTERRUPT,
|
||||
NO_WRITES,
|
||||
@@ -71,7 +70,7 @@ from langgraph.pregel._call import get_runnable_for_task, identifier
|
||||
from langgraph.pregel._io import read_channels
|
||||
from langgraph.pregel._log import logger
|
||||
from langgraph.pregel._read import INPUT_CACHE_KEY_TYPE, PregelNode
|
||||
from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
|
||||
from langgraph.runtime import DEFAULT_RUNTIME, Runtime
|
||||
from langgraph.types import (
|
||||
All,
|
||||
CacheKey,
|
||||
@@ -669,13 +668,6 @@ def prepare_single_task(
|
||||
runtime = runtime.override(
|
||||
previous=checkpoint["channel_values"].get(PREVIOUS, None),
|
||||
store=store,
|
||||
execution_info=ExecutionInfo(
|
||||
checkpoint_id=checkpoint["id"],
|
||||
checkpoint_ns=task_checkpoint_ns,
|
||||
task_id=task_id,
|
||||
thread_id=configurable.get(CONFIG_KEY_THREAD_ID),
|
||||
run_id=str(rid) if (rid := config.get("run_id")) else None,
|
||||
),
|
||||
)
|
||||
additional_config = {
|
||||
"metadata": metadata,
|
||||
@@ -821,16 +813,7 @@ def prepare_push_task_functional(
|
||||
stop,
|
||||
)
|
||||
runtime = cast(Runtime, configurable.get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME))
|
||||
runtime = runtime.override(
|
||||
store=store,
|
||||
execution_info=ExecutionInfo(
|
||||
checkpoint_id=checkpoint["id"],
|
||||
checkpoint_ns=task_checkpoint_ns,
|
||||
task_id=task_id,
|
||||
thread_id=configurable.get(CONFIG_KEY_THREAD_ID),
|
||||
run_id=str(rid) if (rid := config.get("run_id")) else None,
|
||||
),
|
||||
)
|
||||
runtime = runtime.override(store=store)
|
||||
return PregelExecutableTask(
|
||||
name,
|
||||
call.input,
|
||||
@@ -983,15 +966,7 @@ def prepare_push_task_send(
|
||||
)
|
||||
runtime = cast(Runtime, configurable.get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME))
|
||||
runtime = runtime.override(
|
||||
store=store,
|
||||
previous=checkpoint["channel_values"].get(PREVIOUS, None),
|
||||
execution_info=ExecutionInfo(
|
||||
checkpoint_id=checkpoint["id"],
|
||||
checkpoint_ns=task_checkpoint_ns,
|
||||
task_id=task_id,
|
||||
thread_id=configurable.get(CONFIG_KEY_THREAD_ID),
|
||||
run_id=str(rid) if (rid := config.get("run_id")) else None,
|
||||
),
|
||||
store=store, previous=checkpoint["channel_values"].get(PREVIOUS, None)
|
||||
)
|
||||
additional_config: RunnableConfig = {
|
||||
"metadata": metadata,
|
||||
|
||||
@@ -62,11 +62,6 @@ from langgraph._internal._constants import (
|
||||
from langgraph._internal._replay import ReplayState
|
||||
from langgraph._internal._scratchpad import PregelScratchpad
|
||||
from langgraph._internal._typing import EMPTY_SEQ, MISSING
|
||||
from langgraph.callbacks import (
|
||||
GraphInterruptEvent,
|
||||
GraphLifecycleEvent,
|
||||
GraphResumeEvent,
|
||||
)
|
||||
from langgraph.channels.base import BaseChannel
|
||||
from langgraph.channels.untracked_value import UntrackedValue
|
||||
from langgraph.constants import TAG_HIDDEN
|
||||
@@ -122,7 +117,6 @@ from langgraph.types import (
|
||||
CachePolicy,
|
||||
Command,
|
||||
Durability,
|
||||
Interrupt,
|
||||
PregelExecutableTask,
|
||||
RetryPolicy,
|
||||
Send,
|
||||
@@ -209,8 +203,6 @@ class PregelLoop:
|
||||
tasks: dict[str, PregelExecutableTask]
|
||||
output: None | dict[str, Any] | Any = None
|
||||
updated_channels: set[str] | None = None
|
||||
_graph_lifecycle_events: deque[GraphLifecycleEvent]
|
||||
_has_graph_lifecycle_callbacks: bool
|
||||
|
||||
# public
|
||||
|
||||
@@ -236,7 +228,6 @@ class PregelLoop:
|
||||
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
|
||||
retry_policy: Sequence[RetryPolicy] = (),
|
||||
cache_policy: CachePolicy | None = None,
|
||||
has_graph_lifecycle_callbacks: bool = False,
|
||||
) -> None:
|
||||
self.stream = stream
|
||||
self.config = config
|
||||
@@ -261,8 +252,6 @@ class PregelLoop:
|
||||
self.retry_policy = retry_policy
|
||||
self.cache_policy = cache_policy
|
||||
self.durability = durability
|
||||
self._has_graph_lifecycle_callbacks = has_graph_lifecycle_callbacks
|
||||
self._graph_lifecycle_events = deque()
|
||||
if self.stream is not None and CONFIG_KEY_STREAM in config[CONF]:
|
||||
self.stream = DuplexStream(self.stream, config[CONF][CONFIG_KEY_STREAM])
|
||||
scratchpad: PregelScratchpad | None = config[CONF].get(CONFIG_KEY_SCRATCHPAD)
|
||||
@@ -314,40 +303,6 @@ class PregelLoop:
|
||||
)
|
||||
self.prev_checkpoint_config = None
|
||||
|
||||
def _push_graph_lifecycle_event(
|
||||
self,
|
||||
kind: Literal["resume", "interrupt"],
|
||||
*,
|
||||
interrupts: tuple[Interrupt, ...] = (),
|
||||
) -> None:
|
||||
if kind == "resume":
|
||||
self._graph_lifecycle_events.append(
|
||||
GraphResumeEvent(
|
||||
run_id=None,
|
||||
status=self.status,
|
||||
checkpoint_id=self.checkpoint["id"],
|
||||
checkpoint_ns=self.checkpoint_ns,
|
||||
)
|
||||
)
|
||||
elif kind == "interrupt":
|
||||
self._graph_lifecycle_events.append(
|
||||
GraphInterruptEvent(
|
||||
run_id=None,
|
||||
status=self.status,
|
||||
checkpoint_id=self.checkpoint["id"],
|
||||
checkpoint_ns=self.checkpoint_ns,
|
||||
interrupts=interrupts,
|
||||
)
|
||||
)
|
||||
else:
|
||||
msg = f"Unknown graph lifecycle event type: {kind}"
|
||||
raise AssertionError(msg)
|
||||
|
||||
def _pop_lifecycle_event(self) -> GraphLifecycleEvent | None:
|
||||
if not self._graph_lifecycle_events:
|
||||
return None
|
||||
return self._graph_lifecycle_events.popleft()
|
||||
|
||||
def put_writes(self, task_id: str, writes: WritesT) -> None:
|
||||
"""Put writes for a task, to be read by the next tick."""
|
||||
if not writes:
|
||||
@@ -692,7 +647,7 @@ 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.
|
||||
is_time_traveling = self.is_replaying and (
|
||||
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.
|
||||
@@ -710,8 +665,7 @@ class PregelLoop:
|
||||
# (subgraph input is a Send arg, not a Command)
|
||||
or configurable.get(CONFIG_KEY_RESUMING, False)
|
||||
)
|
||||
)
|
||||
if is_time_traveling:
|
||||
):
|
||||
self.checkpoint_pending_writes = [
|
||||
w for w in self.checkpoint_pending_writes if w[1] != RESUME
|
||||
]
|
||||
@@ -766,26 +720,6 @@ class PregelLoop:
|
||||
if k in self.checkpoint["channel_versions"]:
|
||||
version = self.checkpoint["channel_versions"][k]
|
||||
self.checkpoint["versions_seen"][INTERRUPT][k] = version
|
||||
# When time-traveling (replaying from a specific checkpoint),
|
||||
# save a fork checkpoint so the replayed execution creates a
|
||||
# new branch. Without this, if the execution hits an interrupt
|
||||
# before after_tick() runs, no new checkpoint is created —
|
||||
# the parent's latest checkpoint remains the old one and
|
||||
# subsequent resumes load the wrong state.
|
||||
# Skip for update_state forks (source=update/fork) since they
|
||||
# already have their own fork checkpoint.
|
||||
if is_time_traveling and self.checkpoint_metadata.get("source") not in (
|
||||
"update",
|
||||
"fork",
|
||||
):
|
||||
# Clear old INTERRUPT writes from the loaded checkpoint.
|
||||
# The fork will have a new checkpoint_id which changes
|
||||
# task IDs — stale interrupt writes would accumulate and
|
||||
# confuse the multiple-interrupt check in future resumes.
|
||||
self.checkpoint_pending_writes = [
|
||||
w for w in self.checkpoint_pending_writes if w[1] != INTERRUPT
|
||||
]
|
||||
self._put_checkpoint({"source": "fork"})
|
||||
# produce values output
|
||||
self._emit(
|
||||
"values", map_output_values, self.output_keys, True, self.channels
|
||||
@@ -828,28 +762,14 @@ class PregelLoop:
|
||||
if not self.is_nested:
|
||||
# Pass the resolved before-bound checkpoint ID so subgraphs can
|
||||
# find their corresponding checkpoint without re-fetching the
|
||||
# parent. For forks (source=update/fork), use the fork's parent
|
||||
# parent. For forks (source=update), use the fork's parent
|
||||
# checkpoint ID since the fork was created after the subgraph's
|
||||
# checkpoints from the original execution.
|
||||
#
|
||||
# Only gate on is_time_traveling (not is_replaying). When the
|
||||
# client resumes with an explicit checkpoint_id that happens to
|
||||
# point at the current head (e.g. LangGraph Studio sending
|
||||
# `checkpoint: {checkpoint_id}` alongside Command(resume=...)),
|
||||
# is_replaying is True but is_time_traveling is False. In that
|
||||
# case subgraphs should load their latest checkpoint normally,
|
||||
# not go through ReplayState's before-bound lookup which would
|
||||
# miss subgraph checkpoints created during processing of the
|
||||
# current parent step.
|
||||
replay_state: ReplayState | None = None
|
||||
if is_time_traveling:
|
||||
if self.is_replaying:
|
||||
replay_checkpoint_id = self.checkpoint["id"]
|
||||
if (
|
||||
self.checkpoint_metadata.get("source")
|
||||
in (
|
||||
"update",
|
||||
"fork",
|
||||
)
|
||||
self.checkpoint_metadata.get("source") == "update"
|
||||
and self.prev_checkpoint_config
|
||||
):
|
||||
replay_checkpoint_id = self.prev_checkpoint_config[CONF].get(
|
||||
@@ -865,8 +785,6 @@ class PregelLoop:
|
||||
)
|
||||
# set flag
|
||||
self.status = "pending"
|
||||
if is_resuming:
|
||||
self._push_graph_lifecycle_event("resume")
|
||||
return updated_channels
|
||||
|
||||
def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
|
||||
@@ -967,10 +885,8 @@ class PregelLoop:
|
||||
self._put_checkpoint(self.checkpoint_metadata)
|
||||
self._put_pending_writes()
|
||||
# suppress interrupt
|
||||
if isinstance(exc_value, GraphInterrupt) and not self.is_nested:
|
||||
interrupt = exc_value
|
||||
interrupts = tuple(interrupt.args[0]) if interrupt.args else ()
|
||||
self._push_graph_lifecycle_event("interrupt", interrupts=interrupts)
|
||||
suppress = isinstance(exc_value, GraphInterrupt) and not self.is_nested
|
||||
if suppress:
|
||||
# emit one last "values" event, with pending writes applied
|
||||
if (
|
||||
hasattr(self, "tasks")
|
||||
@@ -997,11 +913,12 @@ class PregelLoop:
|
||||
self.channels,
|
||||
)
|
||||
# emit INTERRUPT if exception is empty (otherwise emitted by put_writes)
|
||||
if not interrupt.args or not interrupt.args[0]:
|
||||
interrupt_payload = interrupt.args[0] if interrupt.args else ()
|
||||
if exc_value is not None and (not exc_value.args or not exc_value.args[0]):
|
||||
self._emit(
|
||||
"updates",
|
||||
lambda: iter([{INTERRUPT: interrupt_payload}]),
|
||||
lambda: iter(
|
||||
[{INTERRUPT: cast(GraphInterrupt, exc_value).args[0]}]
|
||||
),
|
||||
)
|
||||
# save final output
|
||||
self.output = read_channels(self.channels, self.output_keys)
|
||||
@@ -1123,7 +1040,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
|
||||
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
|
||||
retry_policy: Sequence[RetryPolicy] = (),
|
||||
cache_policy: CachePolicy | None = None,
|
||||
has_graph_lifecycle_callbacks: bool = False,
|
||||
) -> None:
|
||||
super().__init__(
|
||||
input,
|
||||
@@ -1145,7 +1061,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
|
||||
retry_policy=retry_policy,
|
||||
cache_policy=cache_policy,
|
||||
durability=durability,
|
||||
has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
|
||||
)
|
||||
self.stack = ExitStack()
|
||||
if checkpointer:
|
||||
@@ -1221,7 +1136,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
|
||||
# context manager
|
||||
|
||||
def __enter__(self) -> Self:
|
||||
self._graph_lifecycle_events = deque()
|
||||
if not self.checkpointer:
|
||||
saved = None
|
||||
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
|
||||
@@ -1322,7 +1236,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
|
||||
retry_policy: Sequence[RetryPolicy] = (),
|
||||
cache_policy: CachePolicy | None = None,
|
||||
has_graph_lifecycle_callbacks: bool = False,
|
||||
) -> None:
|
||||
super().__init__(
|
||||
input,
|
||||
@@ -1344,7 +1257,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
retry_policy=retry_policy,
|
||||
cache_policy=cache_policy,
|
||||
durability=durability,
|
||||
has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
|
||||
)
|
||||
self.stack = AsyncExitStack()
|
||||
if checkpointer:
|
||||
@@ -1423,7 +1335,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
# context manager
|
||||
|
||||
async def __aenter__(self) -> Self:
|
||||
self._graph_lifecycle_events = deque()
|
||||
if not self.checkpointer:
|
||||
saved = None
|
||||
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
|
||||
|
||||
@@ -24,11 +24,6 @@ try:
|
||||
except ImportError:
|
||||
_StreamingCallbackHandler = object # type: ignore
|
||||
|
||||
try:
|
||||
from langchain_core.tracers._streaming import _V2StreamingCallbackHandler
|
||||
except ImportError:
|
||||
_V2StreamingCallbackHandler = object # type: ignore
|
||||
|
||||
T = TypeVar("T")
|
||||
Meta = tuple[tuple[str, ...], dict[str, Any]]
|
||||
|
||||
@@ -253,126 +248,3 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
self.metadata.pop(run_id, None)
|
||||
|
||||
|
||||
class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler):
|
||||
"""v2 variant of `StreamMessagesHandler`.
|
||||
|
||||
Declaring `_V2StreamingCallbackHandler` as a base flips
|
||||
`BaseChatModel.invoke` to route through `_stream_chat_model_events`
|
||||
(firing `on_stream_event`) instead of `_stream` (firing
|
||||
`on_llm_new_token`). Inherits `on_stream_event` from the parent,
|
||||
which forwards protocol events onto the messages stream channel.
|
||||
|
||||
Pregel attaches this class instead of the v1 handler only when
|
||||
`StreamingHandler` opts in via the internal
|
||||
`CONFIG_KEY_STREAM_MESSAGES_V2` config key; direct
|
||||
`graph.stream(stream_mode="messages")` callers keep the v1
|
||||
AIMessageChunk shape.
|
||||
"""
|
||||
|
||||
def on_llm_new_token(
|
||||
self,
|
||||
token: str,
|
||||
*,
|
||||
chunk: ChatGenerationChunk | None = None,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
tags: list[str] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
"""Intentional no-op — v1 chunks are not used on v2-flagged runs.
|
||||
|
||||
The v2 marker already steers `invoke` to the event generator, so
|
||||
`on_llm_new_token` should not fire under normal routing. This
|
||||
override stays a pass-through (no call to `super()`) to make
|
||||
the intent explicit and to guard against any caller (e.g. a
|
||||
node that calls `model.stream()` directly, which still fires
|
||||
the v1 callback) leaking AIMessageChunks onto a v2-flagged
|
||||
messages stream.
|
||||
"""
|
||||
# Intentionally empty: v2 handler does not forward v1 chunks.
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
stream: Callable[[StreamChunk], None],
|
||||
subgraphs: bool,
|
||||
*,
|
||||
parent_ns: tuple[str, ...] | None = None,
|
||||
) -> None:
|
||||
super().__init__(stream, subgraphs, parent_ns=parent_ns)
|
||||
self._streamed_run_ids: set[UUID] = set()
|
||||
|
||||
def on_llm_end(
|
||||
self,
|
||||
response: LLMResult,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
if meta := self.metadata.get(run_id):
|
||||
if response.generations and response.generations[0]:
|
||||
gen = response.generations[0][0]
|
||||
if isinstance(gen, ChatGeneration):
|
||||
if run_id in self._streamed_run_ids:
|
||||
if gen.message.id is None:
|
||||
gen.message.id = str(uuid4())
|
||||
self.seen.add(gen.message.id)
|
||||
else:
|
||||
self._emit(meta, gen.message, dedupe=True)
|
||||
self._streamed_run_ids.discard(run_id)
|
||||
self.metadata.pop(run_id, None)
|
||||
|
||||
def on_llm_error(
|
||||
self,
|
||||
error: BaseException,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
self._streamed_run_ids.discard(run_id)
|
||||
super().on_llm_error(
|
||||
error,
|
||||
run_id=run_id,
|
||||
parent_run_id=parent_run_id,
|
||||
**kwargs,
|
||||
)
|
||||
|
||||
def on_stream_event(
|
||||
self,
|
||||
event: dict[str, Any],
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
tags: list[str] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
"""Forward a protocol event from `stream_v2` as a messages stream part.
|
||||
|
||||
Fires once per `MessagesData` event (`message-start`, per-block
|
||||
`content-block-*`, `message-finish`). The transformer layer
|
||||
correlates events back to a single `ChatModelStream` via
|
||||
`metadata["run_id"]` — attached here so the v1
|
||||
`stream_mode="messages"` output (which emits
|
||||
`(AIMessageChunk, metadata)` via `on_llm_new_token`) keeps its
|
||||
original metadata shape.
|
||||
|
||||
Lives on the v2 handler rather than the v1 base: content-block
|
||||
events are a v2-only concept, and forwarding them only when the
|
||||
v2 handler is attached keeps the message channel's shape
|
||||
predictable for v1 callers.
|
||||
"""
|
||||
if meta := self.metadata.get(run_id):
|
||||
# Record message_id on message-start so on_chain_end's
|
||||
# dedupe skips the finalized AIMessage the node returns
|
||||
# (otherwise the messages projection double-counts: once
|
||||
# from streaming, once from the chain output).
|
||||
if event.get("event") == "message-start":
|
||||
self._streamed_run_ids.add(run_id)
|
||||
msg_id = event.get("message_id")
|
||||
if msg_id:
|
||||
self.seen.add(msg_id)
|
||||
v2_meta = {**meta[1], "run_id": str(run_id)}
|
||||
self.stream((meta[0], "messages", (event, v2_meta)))
|
||||
|
||||
@@ -9,51 +9,22 @@ from collections.abc import Awaitable, Callable, Sequence
|
||||
from dataclasses import replace
|
||||
from typing import Any
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
|
||||
from langgraph._internal._config import patch_configurable, recast_checkpoint_ns
|
||||
from langgraph._internal._constants import (
|
||||
CONF,
|
||||
CONFIG_KEY_CHECKPOINT_ID,
|
||||
CONFIG_KEY_CHECKPOINT_NS,
|
||||
CONFIG_KEY_RESUMING,
|
||||
CONFIG_KEY_RUNTIME,
|
||||
CONFIG_KEY_TASK_ID,
|
||||
CONFIG_KEY_THREAD_ID,
|
||||
NS_SEP,
|
||||
)
|
||||
from langgraph.errors import GraphBubbleUp, ParentCommand
|
||||
from langgraph.runtime import ExecutionInfo, Runtime
|
||||
from langgraph.runtime import Runtime
|
||||
from langgraph.types import Command, PregelExecutableTask, RetryPolicy
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)
|
||||
|
||||
|
||||
def _ensure_execution_info(
|
||||
runtime: Runtime, config: RunnableConfig, task: PregelExecutableTask
|
||||
) -> Runtime:
|
||||
"""Ensure runtime has execution_info, creating one from config if needed.
|
||||
|
||||
In the distributed runtime (LangGraph Platform), tasks are prepared by the
|
||||
server and deserialized in the executor, bypassing the OSS _algo.py code
|
||||
that normally creates ExecutionInfo. This function fills in execution_info
|
||||
from the task config when it's missing.
|
||||
"""
|
||||
if runtime.execution_info is not None:
|
||||
return runtime
|
||||
configurable = config.get(CONF, {})
|
||||
return runtime.override(
|
||||
execution_info=ExecutionInfo(
|
||||
checkpoint_id=configurable.get(CONFIG_KEY_CHECKPOINT_ID) or "",
|
||||
checkpoint_ns=configurable.get(CONFIG_KEY_CHECKPOINT_NS) or "",
|
||||
task_id=configurable.get(CONFIG_KEY_TASK_ID) or task.id,
|
||||
thread_id=configurable.get(CONFIG_KEY_THREAD_ID),
|
||||
run_id=str(rid) if (rid := config.get("run_id")) else None,
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
def _checkpoint_ns_for_parent_command(ns: str) -> str:
|
||||
"""Return the checkpoint namespace for the parent graph.
|
||||
|
||||
@@ -97,7 +68,6 @@ def run_with_retry(
|
||||
config = patch_configurable(config, configurable)
|
||||
runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
|
||||
if isinstance(runtime, Runtime):
|
||||
runtime = _ensure_execution_info(runtime, config, task)
|
||||
config = patch_configurable(
|
||||
config,
|
||||
{
|
||||
@@ -202,7 +172,6 @@ async def arun_with_retry(
|
||||
config = patch_configurable(config, configurable)
|
||||
runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
|
||||
if isinstance(runtime, Runtime):
|
||||
runtime = _ensure_execution_info(runtime, config, task)
|
||||
config = patch_configurable(
|
||||
config,
|
||||
{
|
||||
|
||||
@@ -1,268 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import AsyncIterator, Callable, Iterator
|
||||
from contextvars import ContextVar, Token
|
||||
from typing import Any, TypeVar, cast
|
||||
from uuid import UUID
|
||||
|
||||
from langchain_core.callbacks import BaseCallbackHandler
|
||||
|
||||
from langgraph._internal._constants import NS_SEP
|
||||
from langgraph.constants import TAG_NOSTREAM
|
||||
from langgraph.pregel.protocol import StreamChunk
|
||||
|
||||
try:
|
||||
from langchain_core.tracers._streaming import _StreamingCallbackHandler
|
||||
except ImportError:
|
||||
_StreamingCallbackHandler = object # type: ignore[assignment,misc]
|
||||
|
||||
|
||||
T = TypeVar("T")
|
||||
|
||||
ToolCallWriter = Callable[[Any], None]
|
||||
"""A closure bound to a single tool call that emits `tool-output-delta` events."""
|
||||
|
||||
_tool_call_writer: ContextVar[ToolCallWriter | None] = ContextVar(
|
||||
"langgraph_tool_call_writer", default=None
|
||||
)
|
||||
"""ContextVar holding the writer for the currently-executing tool call.
|
||||
|
||||
Set by `StreamToolCallHandler.on_tool_start` and reset on end/error.
|
||||
Read by `ToolRuntime.emit_output_delta` (in `langgraph.prebuilt`).
|
||||
"""
|
||||
|
||||
|
||||
class StreamToolCallHandler(BaseCallbackHandler, _StreamingCallbackHandler):
|
||||
"""Callback handler that emits tool-call lifecycle events on the stream.
|
||||
|
||||
Fires on LangChain's `on_tool_*` callbacks and pushes to the `tools`
|
||||
stream mode. Emits `tool-started` / `tool-output-delta` /
|
||||
`tool-finished` / `tool-error` payloads keyed by `tool_call_id`.
|
||||
|
||||
While a tool is executing, this handler sets `_tool_call_writer` to a
|
||||
closure bound to that call's namespace and `tool_call_id`.
|
||||
`ToolRuntime.emit_output_delta` reads that ContextVar so tool bodies
|
||||
can stream partial output without threading the writer through their
|
||||
own signature.
|
||||
|
||||
Attached by `Pregel.stream` / `astream` when `"tools"` is in
|
||||
`stream_modes`. `run_inline = True` keeps event ordering
|
||||
deterministic.
|
||||
"""
|
||||
|
||||
run_inline = True
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
stream: Callable[[StreamChunk], None],
|
||||
subgraphs: bool,
|
||||
*,
|
||||
parent_ns: tuple[str, ...] | None = None,
|
||||
) -> None:
|
||||
"""Configure the handler to stream tool-call events.
|
||||
|
||||
Args:
|
||||
stream: Callable that accepts a `StreamChunk` tuple
|
||||
`(namespace, mode, payload)` and enqueues it.
|
||||
subgraphs: Whether to emit events from tools called inside
|
||||
nested subgraphs. When False, only tools at the
|
||||
handler's own scope (`parent_ns`) emit.
|
||||
parent_ns: Namespace where the handler was attached.
|
||||
Mirrors the `StreamMessagesHandler` escape hatch:
|
||||
tools whose containing namespace equals `parent_ns`
|
||||
still emit even with `subgraphs=False`, so a node that
|
||||
explicitly streams a subgraph with `stream_mode="tools"`
|
||||
sees its own tools.
|
||||
"""
|
||||
self.stream = stream
|
||||
self.subgraphs = subgraphs
|
||||
self.parent_ns = parent_ns
|
||||
# run_id → (namespace, tool_call_id, ContextVar token)
|
||||
# `on_tool_end` does not receive `tool_call_id` in kwargs, so
|
||||
# we correlate by `run_id` which is present on every callback.
|
||||
self._run_to_call: dict[
|
||||
UUID, tuple[tuple[str, ...], str, Token[ToolCallWriter | None]]
|
||||
] = {}
|
||||
|
||||
def _ns_for_emit(
|
||||
self,
|
||||
metadata: dict[str, Any] | None,
|
||||
tags: list[str] | None,
|
||||
) -> tuple[str, ...] | None:
|
||||
"""Resolve the namespace this tool call should emit at, or `None` to skip.
|
||||
|
||||
Mirrors `StreamMessagesHandler.on_chat_model_start`'s namespace
|
||||
derivation: parses `langgraph_checkpoint_ns` (which ends with
|
||||
the `node_name:task_id` of the calling node), drops that
|
||||
trailing segment, and returns the containing subgraph's own
|
||||
namespace. Returns `None` when the call should be silently
|
||||
suppressed:
|
||||
|
||||
- `metadata` is missing — handler is attached to a context
|
||||
without Pregel routing info.
|
||||
- `TAG_NOSTREAM` is in `tags` — caller explicitly opted out.
|
||||
- Tool runs in a subgraph (`len(ns) > 0`) and the handler was
|
||||
attached with `subgraphs=False` and a different `parent_ns`
|
||||
than the call's containing subgraph.
|
||||
"""
|
||||
if not metadata:
|
||||
return None
|
||||
if tags and TAG_NOSTREAM in tags:
|
||||
return None
|
||||
nskey = metadata.get("langgraph_checkpoint_ns")
|
||||
if not nskey:
|
||||
ns: tuple[str, ...] = ()
|
||||
else:
|
||||
ns = tuple(cast(str, nskey).split(NS_SEP))[:-1]
|
||||
if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
|
||||
return None
|
||||
return ns
|
||||
|
||||
def _start(
|
||||
self,
|
||||
serialized: dict[str, Any] | None,
|
||||
input_str: str,
|
||||
*,
|
||||
run_id: UUID,
|
||||
metadata: dict[str, Any] | None,
|
||||
tags: list[str] | None,
|
||||
inputs: dict[str, Any] | None,
|
||||
kwargs: dict[str, Any],
|
||||
) -> None:
|
||||
ns = self._ns_for_emit(metadata, tags)
|
||||
if ns is None:
|
||||
return
|
||||
tool_call_id = cast("str | None", kwargs.get("tool_call_id")) or str(run_id)
|
||||
tool_name = (
|
||||
(serialized or {}).get("name")
|
||||
or cast("str | None", kwargs.get("name"))
|
||||
or ""
|
||||
)
|
||||
|
||||
def writer(delta: Any) -> None:
|
||||
self.stream(
|
||||
(
|
||||
ns,
|
||||
"tools",
|
||||
{
|
||||
"event": "tool-output-delta",
|
||||
"tool_call_id": tool_call_id,
|
||||
"delta": delta,
|
||||
},
|
||||
)
|
||||
)
|
||||
|
||||
token = _tool_call_writer.set(writer)
|
||||
self._run_to_call[run_id] = (ns, tool_call_id, token)
|
||||
|
||||
payload: dict[str, Any] = {
|
||||
"event": "tool-started",
|
||||
"tool_call_id": tool_call_id,
|
||||
"tool_name": tool_name,
|
||||
}
|
||||
if inputs is not None:
|
||||
payload["input"] = inputs
|
||||
self.stream((ns, "tools", payload))
|
||||
|
||||
def _end(self, output: Any, *, run_id: UUID) -> None:
|
||||
info = self._run_to_call.pop(run_id, None)
|
||||
if info is None:
|
||||
return
|
||||
ns, tool_call_id, token = info
|
||||
self._reset_writer(token)
|
||||
self.stream(
|
||||
(
|
||||
ns,
|
||||
"tools",
|
||||
{
|
||||
"event": "tool-finished",
|
||||
"tool_call_id": tool_call_id,
|
||||
"output": output,
|
||||
},
|
||||
)
|
||||
)
|
||||
|
||||
def _error(self, error: BaseException, *, run_id: UUID) -> None:
|
||||
info = self._run_to_call.pop(run_id, None)
|
||||
if info is None:
|
||||
return
|
||||
ns, tool_call_id, token = info
|
||||
self._reset_writer(token)
|
||||
self.stream(
|
||||
(
|
||||
ns,
|
||||
"tools",
|
||||
{
|
||||
"event": "tool-error",
|
||||
"tool_call_id": tool_call_id,
|
||||
"message": str(error),
|
||||
},
|
||||
)
|
||||
)
|
||||
|
||||
def tap_output_aiter(
|
||||
self, run_id: UUID, output: AsyncIterator[T]
|
||||
) -> AsyncIterator[T]:
|
||||
"""Pass-through — required by the `_StreamingCallbackHandler` protocol."""
|
||||
return output
|
||||
|
||||
def tap_output_iter(self, run_id: UUID, output: Iterator[T]) -> Iterator[T]:
|
||||
"""Pass-through — sync counterpart to `tap_output_aiter`."""
|
||||
return output
|
||||
|
||||
@staticmethod
|
||||
def _reset_writer(token: Token[ToolCallWriter | None]) -> None:
|
||||
# Token is invalid if `on_tool_end` runs in a different context
|
||||
# than `on_tool_start` (e.g. langchain may hand off to a thread
|
||||
# worker without copying the context). Swallow that case; the
|
||||
# ContextVar lifetime is bounded by the enclosing task anyway.
|
||||
try:
|
||||
_tool_call_writer.reset(token)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Sync callbacks
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def on_tool_start(
|
||||
self,
|
||||
serialized: dict[str, Any],
|
||||
input_str: str,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
tags: list[str] | None = None,
|
||||
metadata: dict[str, Any] | None = None,
|
||||
inputs: dict[str, Any] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
self._start(
|
||||
serialized,
|
||||
input_str,
|
||||
run_id=run_id,
|
||||
metadata=metadata,
|
||||
tags=tags,
|
||||
inputs=inputs,
|
||||
kwargs=kwargs,
|
||||
)
|
||||
|
||||
def on_tool_end(
|
||||
self,
|
||||
output: Any,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
self._end(output, run_id=run_id)
|
||||
|
||||
def on_tool_error(
|
||||
self,
|
||||
error: BaseException,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
self._error(error, run_id=run_id)
|
||||
@@ -16,7 +16,7 @@ from collections.abc import (
|
||||
Mapping,
|
||||
Sequence,
|
||||
)
|
||||
from dataclasses import is_dataclass, replace
|
||||
from dataclasses import is_dataclass
|
||||
from functools import partial
|
||||
from inspect import isclass
|
||||
from typing import (
|
||||
@@ -73,7 +73,6 @@ from langgraph._internal._constants import (
|
||||
CONFIG_KEY_RUNTIME,
|
||||
CONFIG_KEY_SEND,
|
||||
CONFIG_KEY_STREAM,
|
||||
CONFIG_KEY_STREAM_MESSAGES_V2,
|
||||
CONFIG_KEY_TASK_ID,
|
||||
CONFIG_KEY_THREAD_ID,
|
||||
ERROR,
|
||||
@@ -97,12 +96,6 @@ from langgraph._internal._runnable import (
|
||||
coerce_to_runnable,
|
||||
)
|
||||
from langgraph._internal._typing import MISSING, DeprecatedKwargs
|
||||
from langgraph.callbacks import (
|
||||
GraphInterruptEvent,
|
||||
GraphResumeEvent,
|
||||
get_async_graph_callback_manager_for_config,
|
||||
get_sync_graph_callback_manager_for_config,
|
||||
)
|
||||
from langgraph.channels.base import BaseChannel
|
||||
from langgraph.channels.topic import Topic
|
||||
from langgraph.config import get_config
|
||||
@@ -134,34 +127,16 @@ from langgraph.pregel._loop import (
|
||||
AsyncPregelLoop,
|
||||
SyncPregelLoop,
|
||||
)
|
||||
from langgraph.pregel._messages import (
|
||||
StreamMessagesHandler,
|
||||
StreamMessagesHandlerV2,
|
||||
)
|
||||
from langgraph.pregel._messages import StreamMessagesHandler
|
||||
from langgraph.pregel._read import DEFAULT_BOUND, PregelNode
|
||||
from langgraph.pregel._retry import RetryPolicy
|
||||
from langgraph.pregel._runner import PregelRunner
|
||||
from langgraph.pregel._tools import StreamToolCallHandler
|
||||
from langgraph.pregel._utils import get_new_channel_versions
|
||||
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,
|
||||
BaseUser,
|
||||
Runtime,
|
||||
ServerInfo,
|
||||
)
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from langgraph.stream._types import StreamTransformer
|
||||
from langgraph.stream.run_stream import AsyncGraphRunStream, GraphRunStream
|
||||
from langgraph.stream.transformers import (
|
||||
LifecycleTransformer,
|
||||
MessagesTransformer,
|
||||
SubgraphTransformer,
|
||||
ValuesTransformer,
|
||||
)
|
||||
from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
|
||||
from langgraph.types import (
|
||||
All,
|
||||
CachePolicy,
|
||||
@@ -354,58 +329,6 @@ class NodeBuilder:
|
||||
)
|
||||
|
||||
|
||||
def _collect_stream_modes(mux: Any) -> list[StreamMode]:
|
||||
"""Return the union of `required_stream_modes` across registered transformers.
|
||||
|
||||
Transformers declare the stream modes they need to function, and
|
||||
`stream_v2` asks the graph for exactly that union — no hardcoded
|
||||
default set. If zero transformers declare a given mode, the graph
|
||||
does not stream events for it.
|
||||
"""
|
||||
modes: set[StreamMode] = set()
|
||||
for transformer in mux._transformers:
|
||||
modes.update(
|
||||
cast(
|
||||
"tuple[StreamMode, ...]",
|
||||
getattr(transformer, "required_stream_modes", ()),
|
||||
)
|
||||
)
|
||||
return list(modes)
|
||||
|
||||
|
||||
def _normalize_stream_transformer_factories(
|
||||
specs: Sequence[Callable[[tuple[str, ...]], Any]] | None,
|
||||
) -> list[Callable[[tuple[str, ...]], Any]]:
|
||||
"""Normalize stream transformer specs to scoped factories.
|
||||
|
||||
A stream transformer spec is a callable that accepts
|
||||
`scope: tuple[str, ...]` and returns a fresh `StreamTransformer`.
|
||||
Transformer classes work when their constructor follows the same
|
||||
shape. Pre-built instances are rejected because they cannot be
|
||||
cloned into subgraph scopes.
|
||||
"""
|
||||
factories: list[Callable[[tuple[str, ...]], Any]] = []
|
||||
for spec in specs or ():
|
||||
if isinstance(spec, StreamTransformer):
|
||||
raise TypeError(
|
||||
"stream_v2 transformers must be scope-aware callables, "
|
||||
f"got pre-built instance {type(spec).__name__}. Pass the "
|
||||
"transformer class or a factory like "
|
||||
"`lambda scope: MyTransformer(scope, ...)`."
|
||||
)
|
||||
if not callable(spec):
|
||||
raise TypeError(
|
||||
"stream_v2 transformers must be scope-aware callables, "
|
||||
f"got {type(spec).__name__}."
|
||||
)
|
||||
|
||||
def factory(scope: tuple[str, ...], _spec: Callable[..., Any] = spec) -> Any:
|
||||
return _spec(scope)
|
||||
|
||||
factories.append(factory)
|
||||
return factories
|
||||
|
||||
|
||||
class Pregel(
|
||||
PregelProtocol[StateT, ContextT, InputT, OutputT],
|
||||
Generic[StateT, ContextT, InputT, OutputT],
|
||||
@@ -737,7 +660,6 @@ class Pregel(
|
||||
config: RunnableConfig | None = None,
|
||||
trigger_to_nodes: Mapping[str, Sequence[str]] | None = None,
|
||||
name: str = "LangGraph",
|
||||
stream_transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
|
||||
**deprecated_kwargs: Unpack[DeprecatedKwargs],
|
||||
) -> None:
|
||||
if (
|
||||
@@ -784,9 +706,6 @@ class Pregel(
|
||||
self.config = config
|
||||
self.trigger_to_nodes = trigger_to_nodes or {}
|
||||
self.name = name
|
||||
self.stream_transformers: tuple[Callable[[tuple[str, ...]], Any], ...] = tuple(
|
||||
stream_transformers or ()
|
||||
)
|
||||
self._serde_allowlist: set[tuple[str, ...]] | None = None
|
||||
if auto_validate:
|
||||
self.validate()
|
||||
@@ -2652,7 +2571,15 @@ class Pregel(
|
||||
stream = SyncQueue()
|
||||
|
||||
config = ensure_config(self.config, config)
|
||||
run_manager = None
|
||||
callback_manager = get_callback_manager_for_config(config)
|
||||
if "ls_integration" not in callback_manager.metadata:
|
||||
callback_manager.add_metadata({"ls_integration": "langgraph"})
|
||||
run_manager = callback_manager.on_chain_start(
|
||||
None,
|
||||
input,
|
||||
name=config.get("run_name", self.get_name()),
|
||||
run_id=config.get("run_id"),
|
||||
)
|
||||
try:
|
||||
# assign defaults
|
||||
(
|
||||
@@ -2673,36 +2600,6 @@ class Pregel(
|
||||
interrupt_after=interrupt_after,
|
||||
durability=durability,
|
||||
)
|
||||
callback_manager = get_callback_manager_for_config(config)
|
||||
if "messages" in stream_modes and version != "v2":
|
||||
# Strip any inherited v2 messages handler so a v1 stream
|
||||
# does not get routed through the content-block event
|
||||
# protocol. Leave v1 handlers in place — an outer
|
||||
# stream(stream_mode="messages", subgraphs=True) relies
|
||||
# on its inheritable handler to observe events emitted
|
||||
# by inner stream(stream_mode="messages") calls.
|
||||
callback_manager.handlers = [
|
||||
h
|
||||
for h in callback_manager.handlers
|
||||
if not isinstance(h, StreamMessagesHandlerV2)
|
||||
]
|
||||
callback_manager.inheritable_handlers = [
|
||||
h
|
||||
for h in callback_manager.inheritable_handlers
|
||||
if not isinstance(h, StreamMessagesHandlerV2)
|
||||
]
|
||||
if "ls_integration" not in callback_manager.metadata:
|
||||
callback_manager.add_metadata({"ls_integration": "langgraph"})
|
||||
run_manager = callback_manager.on_chain_start(
|
||||
None,
|
||||
input,
|
||||
name=config.get("run_name", self.get_name()),
|
||||
run_id=config.get("run_id"),
|
||||
)
|
||||
graph_callback_manager = get_sync_graph_callback_manager_for_config(
|
||||
config,
|
||||
run_id=run_manager.run_id,
|
||||
)
|
||||
if checkpointer is None and durability is not None:
|
||||
warnings.warn(
|
||||
"`durability` has no effect when no checkpointer is present.",
|
||||
@@ -2714,33 +2611,14 @@ class Pregel(
|
||||
# set up messages stream mode
|
||||
if "messages" in stream_modes:
|
||||
ns_ = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
|
||||
use_stream_messages_v2 = bool(
|
||||
version == "v2" and config[CONF].get(CONFIG_KEY_STREAM_MESSAGES_V2)
|
||||
)
|
||||
messages_handler_cls = (
|
||||
StreamMessagesHandlerV2
|
||||
if use_stream_messages_v2
|
||||
else StreamMessagesHandler
|
||||
)
|
||||
run_manager.inheritable_handlers.append(
|
||||
messages_handler_cls(
|
||||
StreamMessagesHandler(
|
||||
stream.put,
|
||||
subgraphs,
|
||||
parent_ns=tuple(ns_.split(NS_SEP)) if ns_ else None,
|
||||
)
|
||||
)
|
||||
|
||||
# set up tools stream mode
|
||||
if "tools" in stream_modes:
|
||||
ns_tools = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
|
||||
run_manager.inheritable_handlers.append(
|
||||
StreamToolCallHandler(
|
||||
stream.put,
|
||||
subgraphs,
|
||||
parent_ns=tuple(ns_tools.split(NS_SEP)) if ns_tools else None,
|
||||
)
|
||||
)
|
||||
|
||||
# set up custom stream mode
|
||||
if "custom" in stream_modes:
|
||||
|
||||
@@ -2767,18 +2645,14 @@ class Pregel(
|
||||
if durability is not None:
|
||||
config[CONF][CONFIG_KEY_DURABILITY] = durability_
|
||||
|
||||
# build server_info from metadata + parent runtime
|
||||
parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
|
||||
server_info = _build_server_info(config, parent_runtime)
|
||||
|
||||
runtime = Runtime(
|
||||
context=_coerce_context(self.context_schema, context),
|
||||
store=store,
|
||||
stream_writer=stream_writer,
|
||||
previous=None,
|
||||
execution_info=None,
|
||||
server_info=server_info,
|
||||
execution_info=ExecutionInfo(),
|
||||
)
|
||||
parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
|
||||
runtime = parent_runtime.merge(runtime)
|
||||
config[CONF][CONFIG_KEY_RUNTIME] = runtime
|
||||
|
||||
@@ -2786,17 +2660,6 @@ class Pregel(
|
||||
_output_mapper = self._output_mapper if version == "v2" else None
|
||||
_state_mapper = self._state_mapper if version == "v2" else None
|
||||
|
||||
def emit_graph_lifecycle_events(loop: SyncPregelLoop) -> None:
|
||||
while (event := loop._pop_lifecycle_event()) is not None:
|
||||
if isinstance(event, GraphResumeEvent):
|
||||
graph_callback_manager.on_resume(
|
||||
replace(event, run_id=graph_callback_manager.run_id)
|
||||
)
|
||||
else:
|
||||
graph_callback_manager.on_interrupt(
|
||||
replace(event, run_id=graph_callback_manager.run_id)
|
||||
)
|
||||
|
||||
with SyncPregelLoop(
|
||||
input,
|
||||
stream=StreamProtocol(stream.put, stream_modes),
|
||||
@@ -2817,9 +2680,7 @@ class Pregel(
|
||||
migrate_checkpoint=self._migrate_checkpoint,
|
||||
retry_policy=self.retry_policy,
|
||||
cache_policy=self.cache_policy,
|
||||
has_graph_lifecycle_callbacks=bool(graph_callback_manager.handlers),
|
||||
) as loop:
|
||||
emit_graph_lifecycle_events(loop)
|
||||
# create runner
|
||||
runner = PregelRunner(
|
||||
submit=config[CONF].get(
|
||||
@@ -2881,11 +2742,9 @@ class Pregel(
|
||||
_state_mapper,
|
||||
)
|
||||
loop.after_tick()
|
||||
emit_graph_lifecycle_events(loop)
|
||||
# wait for checkpoint
|
||||
if durability_ == "sync":
|
||||
loop._put_checkpoint_fut.result()
|
||||
emit_graph_lifecycle_events(loop)
|
||||
# emit output
|
||||
yield from _output(
|
||||
stream_mode,
|
||||
@@ -2911,8 +2770,7 @@ class Pregel(
|
||||
# set final channel values as run output
|
||||
run_manager.on_chain_end(loop.output)
|
||||
except BaseException as e:
|
||||
if run_manager is not None:
|
||||
run_manager.on_chain_error(e)
|
||||
run_manager.on_chain_error(e)
|
||||
raise
|
||||
|
||||
@overload
|
||||
@@ -3052,7 +2910,29 @@ class Pregel(
|
||||
)
|
||||
|
||||
config = ensure_config(self.config, config)
|
||||
run_manager = None
|
||||
callback_manager = get_async_callback_manager_for_config(config)
|
||||
if "ls_integration" not in callback_manager.metadata:
|
||||
callback_manager.add_metadata({"ls_integration": "langgraph"})
|
||||
run_manager = await callback_manager.on_chain_start(
|
||||
None,
|
||||
input,
|
||||
name=config.get("run_name", self.get_name()),
|
||||
run_id=config.get("run_id"),
|
||||
)
|
||||
# if running from astream_log() run each proc with streaming
|
||||
do_stream = (
|
||||
next(
|
||||
(
|
||||
True
|
||||
for h in run_manager.handlers
|
||||
if isinstance(h, _StreamingCallbackHandler)
|
||||
and not isinstance(h, StreamMessagesHandler)
|
||||
),
|
||||
False,
|
||||
)
|
||||
if _StreamingCallbackHandler is not None
|
||||
else False
|
||||
)
|
||||
try:
|
||||
# assign defaults
|
||||
(
|
||||
@@ -3073,50 +2953,6 @@ class Pregel(
|
||||
interrupt_after=interrupt_after,
|
||||
durability=durability,
|
||||
)
|
||||
callback_manager = get_async_callback_manager_for_config(config)
|
||||
if "messages" in stream_modes and version != "v2":
|
||||
# Strip any inherited v2 messages handler so a v1 stream
|
||||
# does not get routed through the content-block event
|
||||
# protocol. Leave v1 handlers in place — an outer
|
||||
# astream(stream_mode="messages", subgraphs=True) relies
|
||||
# on its inheritable handler to observe events emitted
|
||||
# by inner astream(stream_mode="messages") calls.
|
||||
callback_manager.handlers = [
|
||||
h
|
||||
for h in callback_manager.handlers
|
||||
if not isinstance(h, StreamMessagesHandlerV2)
|
||||
]
|
||||
callback_manager.inheritable_handlers = [
|
||||
h
|
||||
for h in callback_manager.inheritable_handlers
|
||||
if not isinstance(h, StreamMessagesHandlerV2)
|
||||
]
|
||||
if "ls_integration" not in callback_manager.metadata:
|
||||
callback_manager.add_metadata({"ls_integration": "langgraph"})
|
||||
run_manager = await callback_manager.on_chain_start(
|
||||
None,
|
||||
input,
|
||||
name=config.get("run_name", self.get_name()),
|
||||
run_id=config.get("run_id"),
|
||||
)
|
||||
graph_callback_manager = get_async_graph_callback_manager_for_config(
|
||||
config,
|
||||
run_id=run_manager.run_id,
|
||||
)
|
||||
# if running from astream_log() run each proc with streaming
|
||||
do_stream = (
|
||||
next(
|
||||
(
|
||||
True
|
||||
for h in run_manager.handlers
|
||||
if isinstance(h, _StreamingCallbackHandler)
|
||||
and not isinstance(h, StreamMessagesHandler)
|
||||
),
|
||||
False,
|
||||
)
|
||||
if _StreamingCallbackHandler is not None
|
||||
else False
|
||||
)
|
||||
if checkpointer is None and durability is not None:
|
||||
warnings.warn(
|
||||
"`durability` has no effect when no checkpointer is present.",
|
||||
@@ -3129,33 +2965,14 @@ class Pregel(
|
||||
if "messages" in stream_modes:
|
||||
# namespace can be None in a root level graph?
|
||||
ns_ = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
|
||||
use_stream_messages_v2 = bool(
|
||||
version == "v2" and config[CONF].get(CONFIG_KEY_STREAM_MESSAGES_V2)
|
||||
)
|
||||
messages_handler_cls = (
|
||||
StreamMessagesHandlerV2
|
||||
if use_stream_messages_v2
|
||||
else StreamMessagesHandler
|
||||
)
|
||||
run_manager.inheritable_handlers.append(
|
||||
messages_handler_cls(
|
||||
StreamMessagesHandler(
|
||||
stream_put,
|
||||
subgraphs,
|
||||
parent_ns=tuple(ns_.split(NS_SEP)) if ns_ else None,
|
||||
)
|
||||
)
|
||||
|
||||
# set up tools stream mode
|
||||
if "tools" in stream_modes:
|
||||
ns_tools = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
|
||||
run_manager.inheritable_handlers.append(
|
||||
StreamToolCallHandler(
|
||||
stream_put,
|
||||
subgraphs,
|
||||
parent_ns=tuple(ns_tools.split(NS_SEP)) if ns_tools else None,
|
||||
)
|
||||
)
|
||||
|
||||
# set up custom stream mode
|
||||
def stream_writer(c: Any) -> None:
|
||||
aioloop.call_soon_threadsafe(
|
||||
@@ -3197,18 +3014,14 @@ class Pregel(
|
||||
if durability is not None:
|
||||
config[CONF][CONFIG_KEY_DURABILITY] = durability_
|
||||
|
||||
# build server_info from metadata + parent runtime
|
||||
parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
|
||||
server_info = _build_server_info(config, parent_runtime)
|
||||
|
||||
runtime = Runtime(
|
||||
context=_coerce_context(self.context_schema, context),
|
||||
store=store,
|
||||
stream_writer=stream_writer,
|
||||
previous=None,
|
||||
execution_info=None,
|
||||
server_info=server_info,
|
||||
execution_info=ExecutionInfo(),
|
||||
)
|
||||
parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
|
||||
runtime = parent_runtime.merge(runtime)
|
||||
config[CONF][CONFIG_KEY_RUNTIME] = runtime
|
||||
|
||||
@@ -3216,28 +3029,6 @@ class Pregel(
|
||||
_output_mapper = self._output_mapper if version == "v2" else None
|
||||
_state_mapper = self._state_mapper if version == "v2" else None
|
||||
|
||||
async def aemit_graph_lifecycle_events(loop: AsyncPregelLoop) -> None:
|
||||
while (event := loop._pop_lifecycle_event()) is not None:
|
||||
if isinstance(event, GraphResumeEvent):
|
||||
await graph_callback_manager.on_resume(
|
||||
GraphResumeEvent(
|
||||
run_id=graph_callback_manager.run_id,
|
||||
status=event.status,
|
||||
checkpoint_id=event.checkpoint_id,
|
||||
checkpoint_ns=event.checkpoint_ns,
|
||||
)
|
||||
)
|
||||
else:
|
||||
await graph_callback_manager.on_interrupt(
|
||||
GraphInterruptEvent(
|
||||
run_id=graph_callback_manager.run_id,
|
||||
status=event.status,
|
||||
checkpoint_id=event.checkpoint_id,
|
||||
checkpoint_ns=event.checkpoint_ns,
|
||||
interrupts=event.interrupts,
|
||||
)
|
||||
)
|
||||
|
||||
async with AsyncPregelLoop(
|
||||
input,
|
||||
stream=StreamProtocol(stream.put_nowait, stream_modes),
|
||||
@@ -3258,9 +3049,7 @@ class Pregel(
|
||||
migrate_checkpoint=self._migrate_checkpoint,
|
||||
retry_policy=self.retry_policy,
|
||||
cache_policy=self.cache_policy,
|
||||
has_graph_lifecycle_callbacks=bool(graph_callback_manager.handlers),
|
||||
) as loop:
|
||||
await aemit_graph_lifecycle_events(loop)
|
||||
# create runner
|
||||
runner = PregelRunner(
|
||||
submit=config[CONF].get(
|
||||
@@ -3342,7 +3131,6 @@ class Pregel(
|
||||
):
|
||||
yield o
|
||||
loop.after_tick()
|
||||
await aemit_graph_lifecycle_events(loop)
|
||||
# wait for checkpoint
|
||||
if durability_ == "sync":
|
||||
await cast(asyncio.Future, loop._put_checkpoint_fut)
|
||||
@@ -3351,8 +3139,6 @@ class Pregel(
|
||||
if _cleanup_waiter is not None:
|
||||
await _cleanup_waiter()
|
||||
|
||||
await aemit_graph_lifecycle_events(loop)
|
||||
|
||||
# emit output
|
||||
for o in _output(
|
||||
stream_mode,
|
||||
@@ -3379,150 +3165,9 @@ class Pregel(
|
||||
# set final channel values as run output
|
||||
await run_manager.on_chain_end(loop.output)
|
||||
except BaseException as e:
|
||||
if run_manager is not None:
|
||||
await asyncio.shield(run_manager.on_chain_error(e))
|
||||
await asyncio.shield(run_manager.on_chain_error(e))
|
||||
raise
|
||||
|
||||
def stream_v2(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
|
||||
) -> Any:
|
||||
"""Start a sync v2 streaming run driven by transformer projections.
|
||||
|
||||
Builds a `StreamMux` from the built-in `ValuesTransformer` /
|
||||
`MessagesTransformer`, this graph's compile-time
|
||||
`stream_transformers`, and any additional `transformers=`
|
||||
supplied at the call site. Returns a `GraphRunStream` that the
|
||||
caller drives by iterating any projection — no background
|
||||
thread.
|
||||
|
||||
Note:
|
||||
Nesting v1 `stream(stream_mode="messages")` inside a node
|
||||
of a `stream_v2` run is not fully supported. The outer v2
|
||||
messages handler is inheritable, so it sits in the inner
|
||||
chat model's callback chain; `BaseChatModel.invoke` then
|
||||
routes through the v2 event protocol and the inner v1
|
||||
messages handler does not see `on_llm_new_token` chunks.
|
||||
The inner stream still yields a finalized message via
|
||||
`on_llm_end`, but token-by-token output is lost. Use
|
||||
`stream_v2` for the inner graph as well, or call
|
||||
`chat_model.stream(...)` explicitly inside the node, to
|
||||
get token-level streaming.
|
||||
|
||||
Args:
|
||||
input: Graph input.
|
||||
config: Optional runnable config forwarded to the graph.
|
||||
interrupt_before: Nodes to interrupt before, if any.
|
||||
interrupt_after: Nodes to interrupt after, if any.
|
||||
transformers: Extra transformer classes or configured factories
|
||||
appended after compile-time `stream_transformers`. Factories
|
||||
are called as `factory(scope)` so they can propagate to
|
||||
subgraph scopes.
|
||||
|
||||
Returns:
|
||||
A `GraphRunStream` the caller iterates to drive the run.
|
||||
"""
|
||||
parent_ns = _resolve_parent_ns(self.config, config)
|
||||
compiled_factories = _normalize_stream_transformer_factories(
|
||||
self.stream_transformers
|
||||
)
|
||||
extra_factories = _normalize_stream_transformer_factories(transformers)
|
||||
mux = StreamMux(
|
||||
factories=[
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
LifecycleTransformer,
|
||||
SubgraphTransformer,
|
||||
*compiled_factories,
|
||||
*extra_factories,
|
||||
],
|
||||
scope=parent_ns,
|
||||
is_async=False,
|
||||
)
|
||||
values_t = cast(ValuesTransformer, mux.transformer_by_key("values"))
|
||||
graph_iter = iter(
|
||||
self.stream(
|
||||
input,
|
||||
patch_configurable(config, {CONFIG_KEY_STREAM_MESSAGES_V2: True}),
|
||||
stream_mode=_collect_stream_modes(mux),
|
||||
subgraphs=True,
|
||||
version="v2",
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
)
|
||||
)
|
||||
return GraphRunStream(graph_iter, mux, values_t)
|
||||
|
||||
async def astream_v2(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
|
||||
) -> Any:
|
||||
"""Async counterpart to `stream_v2`.
|
||||
|
||||
Returns an `AsyncGraphRunStream` whose projections can be awaited
|
||||
concurrently; each subscribed cursor drives the pump when its
|
||||
buffer is empty.
|
||||
|
||||
Note:
|
||||
Same nesting limitation as `stream_v2`: nesting v1
|
||||
`astream(stream_mode="messages")` inside a node of an
|
||||
`astream_v2` run drops `on_llm_new_token` chunks because
|
||||
the outer v2 handler reroutes `BaseChatModel.invoke`
|
||||
through the v2 event protocol. The inner stream still
|
||||
yields a finalized message at end-of-call. Use
|
||||
`astream_v2` for the inner graph as well, or call
|
||||
`chat_model.astream(...)` explicitly inside the node, to
|
||||
get token-level streaming.
|
||||
|
||||
Args:
|
||||
input: Graph input.
|
||||
config: Optional runnable config forwarded to the graph.
|
||||
interrupt_before: Nodes to interrupt before, if any.
|
||||
interrupt_after: Nodes to interrupt after, if any.
|
||||
transformers: Extra transformer classes or configured factories
|
||||
appended after compile-time `stream_transformers`. Factories
|
||||
are called as `factory(scope)` so they can propagate to
|
||||
subgraph scopes.
|
||||
"""
|
||||
parent_ns = _resolve_parent_ns(self.config, config)
|
||||
compiled_factories = _normalize_stream_transformer_factories(
|
||||
self.stream_transformers
|
||||
)
|
||||
extra_factories = _normalize_stream_transformer_factories(transformers)
|
||||
mux = StreamMux(
|
||||
factories=[
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
LifecycleTransformer,
|
||||
SubgraphTransformer,
|
||||
*compiled_factories,
|
||||
*extra_factories,
|
||||
],
|
||||
scope=parent_ns,
|
||||
is_async=True,
|
||||
)
|
||||
values_t = cast(ValuesTransformer, mux.transformer_by_key("values"))
|
||||
graph_aiter = self.astream(
|
||||
input,
|
||||
patch_configurable(config, {CONFIG_KEY_STREAM_MESSAGES_V2: True}),
|
||||
stream_mode=_collect_stream_modes(mux),
|
||||
subgraphs=True,
|
||||
version="v2",
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
).__aiter__()
|
||||
return AsyncGraphRunStream(graph_aiter, mux, values_t)
|
||||
|
||||
@overload
|
||||
def invoke(
|
||||
self,
|
||||
@@ -3998,55 +3643,6 @@ def _coerce_checkpoint_values(payload: Any, mapper: Callable[[Any], Any]) -> Non
|
||||
payload["values"] = mapper(payload["values"])
|
||||
|
||||
|
||||
def _resolve_parent_ns(
|
||||
graph_config: RunnableConfig | None, call_config: RunnableConfig | None
|
||||
) -> tuple[str, ...]:
|
||||
"""Return the checkpoint namespace the caller is running under.
|
||||
|
||||
`stream_v2` uses this to scope its native projections
|
||||
(`ValuesTransformer`, `MessagesTransformer`) to events emitted at
|
||||
the run's own level. A root call resolves to `()`; a call made
|
||||
from inside a node carries the outer graph's task namespace so the
|
||||
projection still matches its own root-level events.
|
||||
"""
|
||||
merged = ensure_config(graph_config, call_config)
|
||||
ns = merged.get(CONF, {}).get(CONFIG_KEY_CHECKPOINT_NS)
|
||||
if not ns:
|
||||
return ()
|
||||
return tuple(ns.split(NS_SEP))
|
||||
|
||||
|
||||
def _build_server_info(
|
||||
config: RunnableConfig, parent_runtime: Runtime[Any]
|
||||
) -> ServerInfo | None:
|
||||
"""Build ServerInfo from config configurable.
|
||||
|
||||
The server puts assistant_id/graph_id in config configurable and the
|
||||
authenticated user dict in configurable["langgraph_auth_user"].
|
||||
"""
|
||||
configurable = config.get(CONF) or {}
|
||||
assistant_id = configurable.get("assistant_id")
|
||||
graph_id = configurable.get("graph_id")
|
||||
|
||||
# Read authenticated user from configurable (set by LangGraph Server).
|
||||
# We prefer isinstance(BaseUser) but fall back to hasattr("identity")
|
||||
# because the server's ProxyUser provides `permissions` via __getattr__,
|
||||
# which Python's runtime_checkable Protocol check doesn't see.
|
||||
auth_user_data = configurable.get("langgraph_auth_user")
|
||||
user: BaseUser | None = None
|
||||
if auth_user_data is not None:
|
||||
if isinstance(auth_user_data, BaseUser) or hasattr(auth_user_data, "identity"):
|
||||
user = cast(BaseUser, auth_user_data)
|
||||
|
||||
if assistant_id is not None or graph_id is not None or user is not None:
|
||||
return ServerInfo(
|
||||
assistant_id=str(assistant_id) if assistant_id else "",
|
||||
graph_id=str(graph_id) if graph_id else "",
|
||||
user=user,
|
||||
)
|
||||
return None
|
||||
|
||||
|
||||
def _coerce_context(
|
||||
context_schema: type[ContextT] | None, context: Any
|
||||
) -> ContextT | None:
|
||||
|
||||
@@ -1,10 +1,9 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import dataclass, field, replace
|
||||
from typing import Any, Generic, cast
|
||||
from typing import Any, Generic, NamedTuple, cast
|
||||
|
||||
from langgraph.store.base import BaseStore
|
||||
from langgraph_sdk.auth.types import BaseUser
|
||||
from typing_extensions import TypedDict, Unpack
|
||||
|
||||
from langgraph._internal._constants import CONF, CONFIG_KEY_RUNTIME
|
||||
@@ -12,38 +11,12 @@ from langgraph.config import get_config
|
||||
from langgraph.types import _DC_KWARGS, StreamWriter
|
||||
from langgraph.typing import ContextT
|
||||
|
||||
__all__ = (
|
||||
"BaseUser",
|
||||
"ExecutionInfo",
|
||||
"Runtime",
|
||||
"ServerInfo",
|
||||
"get_runtime",
|
||||
)
|
||||
__all__ = ("ExecutionInfo", "Runtime", "get_runtime")
|
||||
|
||||
|
||||
@dataclass(frozen=True, slots=True)
|
||||
class ExecutionInfo:
|
||||
class ExecutionInfo(NamedTuple):
|
||||
"""Read-only execution info/metadata for the execution of current thread/run/node."""
|
||||
|
||||
checkpoint_id: str
|
||||
"""The checkpoint ID for the current execution."""
|
||||
|
||||
checkpoint_ns: str
|
||||
"""The checkpoint namespace for the current execution."""
|
||||
|
||||
task_id: str
|
||||
"""The task ID for the current execution."""
|
||||
|
||||
thread_id: str | None = None
|
||||
"""The thread ID for the current execution.
|
||||
|
||||
None when running without a checkpointer (i.e., no persistence)."""
|
||||
|
||||
run_id: str | None = None
|
||||
"""The run ID for the current execution.
|
||||
|
||||
None when `run_id` is not provided in the RunnableConfig."""
|
||||
|
||||
node_attempt: int = 1
|
||||
"""Current node execution attempt number (1-indexed)."""
|
||||
|
||||
@@ -52,26 +25,7 @@ class ExecutionInfo:
|
||||
|
||||
def patch(self, **overrides: Any) -> ExecutionInfo:
|
||||
"""Return a new execution info object with selected fields replaced."""
|
||||
return replace(self, **overrides)
|
||||
|
||||
|
||||
@dataclass(frozen=True, slots=True)
|
||||
class ServerInfo:
|
||||
"""Metadata injected by LangGraph Server. None when running open-source LangGraph without LangSmith deployments."""
|
||||
|
||||
assistant_id: str
|
||||
"""The assistant ID for the current execution."""
|
||||
|
||||
graph_id: str
|
||||
"""The graph ID for the current execution."""
|
||||
|
||||
user: BaseUser | None = None
|
||||
"""The authenticated user, if any.
|
||||
|
||||
This implements the `BaseUser` protocol from `langgraph_sdk.auth.types`,
|
||||
which supports both attribute access (e.g. `user.identity`) and dict-like
|
||||
access (e.g. `user["identity"]`).
|
||||
"""
|
||||
return self._replace(**overrides)
|
||||
|
||||
|
||||
def _no_op_stream_writer(_: Any) -> None: ...
|
||||
@@ -83,7 +37,6 @@ class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
|
||||
stream_writer: StreamWriter
|
||||
previous: Any
|
||||
execution_info: ExecutionInfo
|
||||
server_info: ServerInfo | None
|
||||
|
||||
|
||||
@dataclass(**_DC_KWARGS)
|
||||
@@ -177,13 +130,8 @@ class Runtime(Generic[ContextT]):
|
||||
Only available with the functional API when a checkpointer is provided.
|
||||
"""
|
||||
|
||||
execution_info: ExecutionInfo | None = field(default=None)
|
||||
"""Read-only execution information/metadata for the current node run.
|
||||
|
||||
None before task preparation populates it."""
|
||||
|
||||
server_info: ServerInfo | None = field(default=None)
|
||||
"""Metadata injected by LangGraph Server. None when running open-source LangGraph without LangSmith deployments."""
|
||||
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.
|
||||
@@ -197,8 +145,7 @@ 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 or self.execution_info,
|
||||
server_info=other.server_info or self.server_info,
|
||||
execution_info=other.execution_info,
|
||||
)
|
||||
|
||||
def override(
|
||||
@@ -209,9 +156,6 @@ class Runtime(Generic[ContextT]):
|
||||
|
||||
def patch_execution_info(self, **overrides: Any) -> Runtime[ContextT]:
|
||||
"""Return a new runtime with selected execution_info fields replaced."""
|
||||
if self.execution_info is None:
|
||||
msg = "Cannot patch execution_info before it has been set"
|
||||
raise RuntimeError(msg)
|
||||
return replace(
|
||||
self,
|
||||
execution_info=self.execution_info.patch(**overrides),
|
||||
@@ -223,7 +167,7 @@ DEFAULT_RUNTIME = Runtime(
|
||||
store=None,
|
||||
stream_writer=_no_op_stream_writer,
|
||||
previous=None,
|
||||
execution_info=None,
|
||||
execution_info=ExecutionInfo(),
|
||||
)
|
||||
|
||||
|
||||
|
||||
@@ -1,35 +0,0 @@
|
||||
"""Streaming infrastructure for LangGraph.
|
||||
|
||||
Compile a graph with `transformers=[...]` and call `graph.stream_v2()` /
|
||||
`graph.astream_v2()` to drive a transformer pipeline that projects the
|
||||
graph's raw events into ergonomic per-channel streams.
|
||||
"""
|
||||
|
||||
from langgraph.stream._types import ProtocolEvent, StreamTransformer
|
||||
from langgraph.stream.run_stream import (
|
||||
AsyncGraphRunStream,
|
||||
AsyncSubgraphRunStream,
|
||||
GraphRunStream,
|
||||
SubgraphRunStream,
|
||||
)
|
||||
from langgraph.stream.stream_channel import StreamChannel
|
||||
from langgraph.stream.transformers import (
|
||||
LifecyclePayload,
|
||||
LifecycleTransformer,
|
||||
SubgraphStatus,
|
||||
SubgraphTransformer,
|
||||
)
|
||||
|
||||
__all__ = [
|
||||
"AsyncGraphRunStream",
|
||||
"AsyncSubgraphRunStream",
|
||||
"GraphRunStream",
|
||||
"LifecyclePayload",
|
||||
"LifecycleTransformer",
|
||||
"ProtocolEvent",
|
||||
"StreamChannel",
|
||||
"StreamTransformer",
|
||||
"SubgraphRunStream",
|
||||
"SubgraphStatus",
|
||||
"SubgraphTransformer",
|
||||
]
|
||||
@@ -1,32 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import time
|
||||
from typing import Any, cast
|
||||
|
||||
from langgraph.stream._types import ProtocolEvent, _ProtocolEventParams
|
||||
from langgraph.types import StreamPart
|
||||
|
||||
|
||||
def convert_to_protocol_event(part: StreamPart) -> ProtocolEvent:
|
||||
"""Convert a v2 StreamPart to a ProtocolEvent.
|
||||
|
||||
Args:
|
||||
part: A stream part with keys `type`, `ns`, `data`, and
|
||||
optionally `interrupts` (present on values events).
|
||||
|
||||
Returns:
|
||||
The equivalent ProtocolEvent.
|
||||
"""
|
||||
part_dict = cast(dict[str, Any], part)
|
||||
params: _ProtocolEventParams = {
|
||||
"namespace": list(part_dict["ns"]),
|
||||
"timestamp": int(time.time() * 1000),
|
||||
"data": part_dict["data"],
|
||||
}
|
||||
if "interrupts" in part_dict:
|
||||
params["interrupts"] = part_dict["interrupts"]
|
||||
return {
|
||||
"type": "event",
|
||||
"method": part_dict["type"],
|
||||
"params": params,
|
||||
}
|
||||
@@ -1,491 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import time
|
||||
from collections.abc import Awaitable, Callable
|
||||
from typing import Any
|
||||
|
||||
from langgraph.stream._types import (
|
||||
ProtocolEvent,
|
||||
StreamTransformer,
|
||||
transformer_requires_async,
|
||||
)
|
||||
from langgraph.stream.stream_channel import StreamChannel
|
||||
|
||||
TransformerFactory = Callable[["tuple[str, ...]"], StreamTransformer]
|
||||
"""Factory that builds a scoped transformer for a mux.
|
||||
|
||||
Called once per `StreamMux` with the mux's scope (typically `()` for
|
||||
the root). Standard transformer classes accept a single positional
|
||||
scope argument, so the class itself is a valid factory. User
|
||||
transformers can close over their config:
|
||||
`lambda scope: MyTransformer(scope, foo=...)`.
|
||||
"""
|
||||
|
||||
|
||||
class StreamMux:
|
||||
"""Central event dispatcher for the streaming infrastructure.
|
||||
|
||||
Owns the main event log and routes events through a transformer
|
||||
pipeline. StreamChannels with a name discovered in transformer
|
||||
projections are auto-wired so that every `push()` also injects a
|
||||
`ProtocolEvent` into the main log. StreamChannels without a name
|
||||
are local-only.
|
||||
|
||||
Pass `is_async=True` when the mux will be consumed via async
|
||||
iteration (`handler.astream()`). All StreamChannel instances
|
||||
discovered during registration are automatically bound to the
|
||||
matching mode.
|
||||
|
||||
Attributes:
|
||||
extensions: Merged projection dict across all registered
|
||||
transformers. Treat as read-only — mutations won't be
|
||||
reflected back in individual transformers' state.
|
||||
native_keys: Projection keys contributed by transformers with
|
||||
`_native = True`.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
transformers: list[StreamTransformer] | None = None,
|
||||
*,
|
||||
is_async: bool = False,
|
||||
factories: list[TransformerFactory] | None = None,
|
||||
scope: tuple[str, ...] = (),
|
||||
_assign_seq: bool = True,
|
||||
) -> None:
|
||||
"""Initialize the mux and register transformers in order.
|
||||
|
||||
Callers pass either `transformers` (pre-built instances) or
|
||||
`factories` (callables producing fresh instances per mux). Each
|
||||
transformer's `init()` is called, projections are merged into
|
||||
`extensions`, `_native` keys are recorded in `native_keys`, and
|
||||
any StreamChannel instances are bound and (if named) wired.
|
||||
|
||||
Args:
|
||||
transformers: Already-built transformer instances. Registered
|
||||
only on this mux — they are NOT cloned into child
|
||||
mini-muxes built by `_make_child`. Use `factories` for
|
||||
transformers that should propagate to nested scopes.
|
||||
is_async: True for async dispatch (`apush` / `aclose` /
|
||||
`afail`), False for the sync path.
|
||||
factories: One-argument callables `(scope) -> StreamTransformer`.
|
||||
Called once with this mux's `scope` here, and cloned
|
||||
again per child scope by `_make_child` so each
|
||||
sub-mux gets fresh instances.
|
||||
scope: The namespace the mux operates within. The root mux
|
||||
is `()`.
|
||||
_assign_seq: Internal flag for child muxes. Root muxes assign
|
||||
monotonic `seq` numbers when appending to their main event
|
||||
log; child muxes share forwarded event objects and must not
|
||||
mutate their envelopes.
|
||||
|
||||
Raises:
|
||||
RuntimeError: If any transformer requires an async run but
|
||||
the mux is in sync mode.
|
||||
TypeError: If a transformer's `init()` doesn't return a dict.
|
||||
ValueError: If transformers' projection keys collide.
|
||||
"""
|
||||
self.is_async = is_async
|
||||
self.scope: tuple[str, ...] = scope
|
||||
self._assign_seq = _assign_seq
|
||||
self._events: StreamChannel[ProtocolEvent] = StreamChannel()
|
||||
self._events._bind(is_async=is_async)
|
||||
self._transformers: list[StreamTransformer] = []
|
||||
self._channels: list[StreamChannel[Any]] = []
|
||||
self._seq = 0
|
||||
|
||||
self.extensions: dict[str, Any] = {}
|
||||
self.native_keys: set[str] = set()
|
||||
self._projection_owners: dict[str, str] = {}
|
||||
self._transformer_by_key: dict[str, StreamTransformer] = {}
|
||||
|
||||
# Stored only when constructed from factories — used by
|
||||
# `_make_child` to clone the transformer pipeline at a deeper
|
||||
# scope. Pre-built transformers can't be cloned, so a mux
|
||||
# built with `transformers=` rejects child construction.
|
||||
self._factories: list[TransformerFactory] | None = (
|
||||
list(factories) if factories is not None else None
|
||||
)
|
||||
self._pump_fn: Callable[[], bool] | None = None
|
||||
self._apump_fn: Callable[[], Awaitable[bool]] | None = None
|
||||
|
||||
# Factories run first (they propagate to child mini-muxes
|
||||
# via `_make_child`), then any pre-built `transformers=`
|
||||
# instances are registered as root-only — they aren't cloned
|
||||
# for child scopes.
|
||||
if factories is not None:
|
||||
for factory in factories:
|
||||
self._register(factory(scope))
|
||||
for transformer in transformers or ():
|
||||
self._register(transformer)
|
||||
|
||||
def transformer_by_key(self, key: str) -> StreamTransformer | None:
|
||||
"""Return the transformer that contributed `key` to the projection."""
|
||||
return self._transformer_by_key.get(key)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Pump wiring + mini-mux nesting
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def bind_pump(self, fn: Callable[[], bool]) -> None:
|
||||
"""Wire the sync pull callback onto every projection in this mux.
|
||||
|
||||
Records the pump on the mux so child mini-muxes built by
|
||||
`_make_child` can inherit it. Propagates to:
|
||||
- the main event log (`self._events`)
|
||||
- every projection StreamChannel in `extensions`
|
||||
- any registered transformer that exposes `_bind_pump` (e.g.
|
||||
`MessagesTransformer` so `ChatModelStream` instances drive the
|
||||
shared pump from their cursors)
|
||||
"""
|
||||
self._pump_fn = fn
|
||||
self._events._request_more = fn
|
||||
for ch in self._channels:
|
||||
ch._request_more = fn
|
||||
for transformer in self._transformers:
|
||||
bind = getattr(transformer, "_bind_pump", None)
|
||||
if bind is not None:
|
||||
bind(fn)
|
||||
|
||||
def bind_apump(self, fn: Callable[[], Awaitable[bool]]) -> None:
|
||||
"""Async counterpart to `bind_pump`."""
|
||||
self._apump_fn = fn
|
||||
self._events._arequest_more = fn
|
||||
for ch in self._channels:
|
||||
ch._arequest_more = fn
|
||||
for transformer in self._transformers:
|
||||
abind = getattr(transformer, "_bind_apump", None)
|
||||
if abind is not None:
|
||||
abind(fn)
|
||||
|
||||
def _make_child(self, scope: tuple[str, ...]) -> StreamMux:
|
||||
"""Build a mini-mux with the same factories scoped to `scope`.
|
||||
|
||||
Used by `SubgraphTransformer` to attach a fresh transformer
|
||||
pipeline to each discovered subgraph handle. The child mux
|
||||
inherits the current pump bindings (so cursors on its
|
||||
projection logs drive the root pump), carries the same factory
|
||||
list forward to any grandchild subgraphs, and does not assign
|
||||
`seq` numbers so forwarded events can be shared without
|
||||
mutating their envelope.
|
||||
|
||||
Raises:
|
||||
RuntimeError: If the mux was not constructed with
|
||||
`factories=`. Mini-muxes require factories so each scope
|
||||
gets its own fresh transformer instances.
|
||||
"""
|
||||
if self._factories is None:
|
||||
raise RuntimeError(
|
||||
"StreamMux._make_child requires the mux to be constructed "
|
||||
"with `factories=`; pre-built transformers can't be "
|
||||
"cloned to a new scope."
|
||||
)
|
||||
child = StreamMux(
|
||||
factories=self._factories,
|
||||
is_async=self.is_async,
|
||||
scope=scope,
|
||||
_assign_seq=False,
|
||||
)
|
||||
if self._pump_fn is not None:
|
||||
child.bind_pump(self._pump_fn)
|
||||
if self._apump_fn is not None:
|
||||
child.bind_apump(self._apump_fn)
|
||||
return child
|
||||
|
||||
def _register(self, transformer: StreamTransformer) -> None:
|
||||
"""Register a single transformer.
|
||||
|
||||
Calls `transformer.init()`, stores the transformer for event
|
||||
processing, binds any StreamChannel instances in the projection,
|
||||
and merges the projection into `extensions`.
|
||||
"""
|
||||
if transformer_requires_async(transformer) and not self.is_async:
|
||||
raise RuntimeError(
|
||||
f"{type(transformer).__name__} requires an async run — "
|
||||
"it overrides aprocess/afinalize/afail or sets "
|
||||
"requires_async=True. Use astream(), not stream()."
|
||||
)
|
||||
projection = transformer.init()
|
||||
if not isinstance(projection, dict):
|
||||
raise TypeError(
|
||||
f"StreamTransformer.init() must return a dict, "
|
||||
f"got {type(projection).__name__}"
|
||||
)
|
||||
conflicts = set(projection) & set(self.extensions)
|
||||
if conflicts:
|
||||
attributions = ", ".join(
|
||||
f"{key!r} (owned by {self._projection_owners[key]})"
|
||||
for key in sorted(conflicts)
|
||||
)
|
||||
raise ValueError(
|
||||
f"Transformer {type(transformer).__name__} returned "
|
||||
f"projection keys that conflict with already-registered "
|
||||
f"keys: {attributions}"
|
||||
)
|
||||
is_native = bool(getattr(transformer, "_native", False))
|
||||
self._transformers.append(transformer)
|
||||
self._bind_and_wire(projection, native=is_native)
|
||||
self.extensions.update(projection)
|
||||
owner_name = type(transformer).__name__
|
||||
for key in projection:
|
||||
self._projection_owners[key] = owner_name
|
||||
self._transformer_by_key[key] = transformer
|
||||
if is_native:
|
||||
self.native_keys.update(projection.keys())
|
||||
transformer._on_register(self)
|
||||
|
||||
def push(self, event: ProtocolEvent) -> None:
|
||||
"""Route an event through all transformers, then append to the main log.
|
||||
|
||||
Each transformer's `process()` is called in registration order.
|
||||
If any transformer returns False, the event is suppressed from
|
||||
the main log, but transformers that already saw it keep their
|
||||
side effects.
|
||||
|
||||
On the root mux, `seq` is assigned right before an event enters
|
||||
the main log, not before the transformer pipeline runs. This
|
||||
ensures that events auto-forwarded from StreamChannels during
|
||||
`process()` get earlier seq numbers than the original event,
|
||||
preserving monotonic ordering in the root log. Child muxes do
|
||||
not assign `seq`, so subgraph forwarding can share event objects
|
||||
without mutating their envelopes.
|
||||
|
||||
Args:
|
||||
event: The protocol event to dispatch.
|
||||
"""
|
||||
keep = True
|
||||
for transformer in self._transformers:
|
||||
if not transformer.process(event):
|
||||
keep = False
|
||||
if keep:
|
||||
if self._assign_seq:
|
||||
self._seq += 1
|
||||
event["seq"] = self._seq
|
||||
self._events.push(event)
|
||||
|
||||
def close(self) -> None:
|
||||
"""Finalize all transformers, close all projections and the main log.
|
||||
|
||||
StreamChannels discovered in transformer projections are
|
||||
auto-closed after `finalize()` runs — transformers don't need
|
||||
to close them manually. If any transformer's `finalize()` raises,
|
||||
the remaining transformers, projections, and the main log are
|
||||
still closed; the first error is re-raised after cleanup
|
||||
completes.
|
||||
|
||||
Raises:
|
||||
BaseException: The first error raised by a transformer's
|
||||
`finalize()`, re-raised after cleanup finishes.
|
||||
"""
|
||||
first_error: BaseException | None = None
|
||||
for transformer in self._transformers:
|
||||
try:
|
||||
transformer.finalize()
|
||||
except BaseException as e:
|
||||
if first_error is None:
|
||||
first_error = e
|
||||
for ch in self._channels:
|
||||
if not ch._closed:
|
||||
ch.close()
|
||||
self._events.close()
|
||||
if first_error is not None:
|
||||
raise first_error
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Fail all transformers, projections, and the main log.
|
||||
|
||||
StreamChannels discovered in transformer projections are
|
||||
auto-failed — transformers don't need to fail them manually.
|
||||
If any transformer's `fail()` raises, the remaining
|
||||
transformers, projections, and the main log are still failed.
|
||||
|
||||
Args:
|
||||
err: The exception that ended the run.
|
||||
"""
|
||||
for transformer in self._transformers:
|
||||
try:
|
||||
transformer.fail(err)
|
||||
except BaseException:
|
||||
pass
|
||||
for ch in self._channels:
|
||||
if not ch._closed:
|
||||
ch.fail(err)
|
||||
self._events.fail(err)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Async dispatch
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
async def apush(self, event: ProtocolEvent) -> None:
|
||||
"""Dispatch an event on the async lane.
|
||||
|
||||
Awaits each transformer's `aprocess` in registration order
|
||||
before appending to the main log. A slow `aprocess` serializes
|
||||
the pipeline by design — that's the guarantee that lets a later
|
||||
transformer (or a synchronous consumer) see the result of the
|
||||
async work. For decoupled work, use `schedule()` from inside
|
||||
`process` / `aprocess` instead.
|
||||
|
||||
The main log append is a non-blocking `push` — matching v1's
|
||||
`put_nowait` shape. The root mux assigns `seq`; child muxes do
|
||||
not, so forwarded subgraph events can be shared without copying.
|
||||
Memory is bounded by caller pace via the caller-driven pump; see
|
||||
`StreamChannel` for the full tradeoff story.
|
||||
|
||||
Args:
|
||||
event: The protocol event to dispatch.
|
||||
"""
|
||||
keep = True
|
||||
for transformer in self._transformers:
|
||||
if not await transformer.aprocess(event):
|
||||
keep = False
|
||||
if keep:
|
||||
if self._assign_seq:
|
||||
self._seq += 1
|
||||
event["seq"] = self._seq
|
||||
self._events.push(event)
|
||||
|
||||
async def aclose(self) -> None:
|
||||
"""Finalize on the async lane.
|
||||
|
||||
Awaits every task started via `StreamTransformer.schedule()`
|
||||
across all transformers, then calls `afinalize()` on each,
|
||||
then auto-closes channels and the main event log.
|
||||
|
||||
If any scheduled task raised under `on_error="raise"`, or any
|
||||
transformer's `afinalize` raises, the exception propagates.
|
||||
The caller (the pump) handles it by routing into `afail`.
|
||||
|
||||
Raises:
|
||||
BaseException: The first scheduled-task or `afinalize`
|
||||
error, re-raised after cleanup.
|
||||
"""
|
||||
pending = self._collect_scheduled_tasks()
|
||||
if pending:
|
||||
results = await asyncio.gather(*pending, return_exceptions=True)
|
||||
first_err = next(
|
||||
(
|
||||
r
|
||||
for r in results
|
||||
if isinstance(r, BaseException)
|
||||
and not isinstance(r, asyncio.CancelledError)
|
||||
),
|
||||
None,
|
||||
)
|
||||
if first_err is not None:
|
||||
raise first_err
|
||||
|
||||
first_error: BaseException | None = None
|
||||
for transformer in self._transformers:
|
||||
try:
|
||||
await transformer.afinalize()
|
||||
except BaseException as e:
|
||||
if first_error is None:
|
||||
first_error = e
|
||||
for ch in self._channels:
|
||||
if not ch._closed:
|
||||
ch.close()
|
||||
self._events.close()
|
||||
if first_error is not None:
|
||||
raise first_error
|
||||
|
||||
async def afail(self, err: BaseException) -> None:
|
||||
"""Fail on the async lane.
|
||||
|
||||
Cancels every scheduled task across all transformers, awaits
|
||||
them to completion, then runs each transformer's `afail` hook
|
||||
and auto-fails channels and the main event log.
|
||||
|
||||
Args:
|
||||
err: The exception that ended the run.
|
||||
"""
|
||||
pending = self._collect_scheduled_tasks()
|
||||
for task in pending:
|
||||
task.cancel()
|
||||
if pending:
|
||||
await asyncio.gather(*pending, return_exceptions=True)
|
||||
|
||||
for transformer in self._transformers:
|
||||
try:
|
||||
await transformer.afail(err)
|
||||
except BaseException:
|
||||
pass
|
||||
for ch in self._channels:
|
||||
if not ch._closed:
|
||||
ch.fail(err)
|
||||
if not self._events._closed:
|
||||
self._events.fail(err)
|
||||
|
||||
def _collect_scheduled_tasks(self) -> list[asyncio.Task[Any]]:
|
||||
"""Return a snapshot of in-flight tasks scheduled via transformers."""
|
||||
return [
|
||||
task
|
||||
for transformer in self._transformers
|
||||
for task in getattr(transformer, "_stream_scheduled_tasks", ())
|
||||
if not task.done()
|
||||
]
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Binding and StreamChannel auto-wiring
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def _bind_and_wire(
|
||||
self, projection: dict[str, Any], *, native: bool = False
|
||||
) -> None:
|
||||
"""Bind and optionally wire StreamChannel instances in a projection.
|
||||
|
||||
All StreamChannels are bound and tracked. Channels with a name
|
||||
are additionally wired for protocol auto-forwarding.
|
||||
|
||||
Args:
|
||||
projection: The projection dict returned by a transformer's
|
||||
`init()`.
|
||||
native: True when the owning transformer is `_native`.
|
||||
Named channels owned by a native transformer use the
|
||||
channel name directly as the protocol method;
|
||||
user-defined channels are prefixed with `custom:`.
|
||||
"""
|
||||
for value in projection.values():
|
||||
if isinstance(value, StreamChannel):
|
||||
value._bind(is_async=self.is_async)
|
||||
self._channels.append(value)
|
||||
if value.name is not None:
|
||||
method = value.name if native else f"custom:{value.name}"
|
||||
|
||||
def _make_forward(method_name: str) -> Callable[[Any], None]:
|
||||
def _forward(item: Any) -> None:
|
||||
self._forward(method_name, item)
|
||||
|
||||
return _forward
|
||||
|
||||
value._wire(_make_forward(method))
|
||||
|
||||
def _forward(self, method: str, item: Any) -> None:
|
||||
"""Inject a ProtocolEvent for a StreamChannel push.
|
||||
|
||||
Forwarded events bypass the transformer pipeline to avoid
|
||||
infinite recursion (a transformer that pushes to a channel
|
||||
during `process()` would re-trigger itself). These events are
|
||||
visible in this mux's main event log but are not passed through
|
||||
transformers' `process()` methods. Only the root mux assigns
|
||||
`seq` to forwarded channel events.
|
||||
|
||||
Args:
|
||||
method: The full protocol method (already with or without
|
||||
the `custom:` prefix; resolved by `_bind_and_wire`).
|
||||
item: The payload pushed onto the channel.
|
||||
"""
|
||||
event: ProtocolEvent = {
|
||||
"type": "event",
|
||||
"method": method,
|
||||
"params": {
|
||||
"namespace": [],
|
||||
"timestamp": int(time.time() * 1000),
|
||||
"data": item,
|
||||
},
|
||||
}
|
||||
if self._assign_seq:
|
||||
self._seq += 1
|
||||
event["seq"] = self._seq
|
||||
self._events.push(event)
|
||||
@@ -1,313 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import logging
|
||||
from abc import ABC, abstractmethod
|
||||
from collections.abc import Coroutine
|
||||
from typing import Any, ClassVar, Literal
|
||||
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
_logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class _ProtocolEventParams(TypedDict):
|
||||
"""Parameters for a protocol event.
|
||||
|
||||
`timestamp` is wall-clock milliseconds since the epoch and can go
|
||||
backwards across NTP adjustments — use `ProtocolEvent.seq` for
|
||||
ordering.
|
||||
"""
|
||||
|
||||
namespace: list[str]
|
||||
timestamp: int
|
||||
data: Any
|
||||
interrupts: NotRequired[tuple[Any, ...]]
|
||||
|
||||
|
||||
class ProtocolEvent(TypedDict):
|
||||
"""A protocol event emitted by the streaming infrastructure.
|
||||
|
||||
Wraps a raw stream part (values, messages, custom, etc.) in a uniform
|
||||
envelope with a monotonic sequence number assigned by the root StreamMux.
|
||||
Consumers that need a total order across root events should use `seq`, not
|
||||
`params.timestamp` (which is wall-clock and not monotonic).
|
||||
"""
|
||||
|
||||
type: Literal["event"]
|
||||
eventId: NotRequired[str]
|
||||
seq: NotRequired[int]
|
||||
method: str # StreamMode value: "values", "messages", "custom", etc.
|
||||
params: _ProtocolEventParams
|
||||
|
||||
|
||||
class StreamTransformer(ABC):
|
||||
"""Extension point for custom stream projections.
|
||||
|
||||
Transformers observe protocol events flowing through the StreamMux and
|
||||
build typed derived projections (StreamChannels, promises, etc.).
|
||||
|
||||
Set `_native = True` on a transformer to have its projection keys
|
||||
exposed as direct attributes on the run stream (in addition to
|
||||
appearing in `run.extensions`).
|
||||
|
||||
Subclasses must implement `init` and override at least one of
|
||||
`process` / `aprocess`. The `finalize` / `afinalize` and `fail` /
|
||||
`afail` hooks are optional — the default implementations are no-ops.
|
||||
StreamChannel instances in the projection dict are auto-closed /
|
||||
auto-failed by the mux, so most transformers don't need `finalize`
|
||||
or `fail` at all.
|
||||
|
||||
Transformers that need async work pick the async lane by:
|
||||
|
||||
1. Overriding `aprocess` (and optionally `afinalize` / `afail`), or
|
||||
2. Calling `self.schedule(coro)` from inside a sync `process`, or
|
||||
3. Setting `requires_async = True` explicitly.
|
||||
|
||||
The mux detects these cases at registration and raises if they're
|
||||
used under sync `stream()` — they only work under `astream()`.
|
||||
|
||||
Use `aprocess` when the pump must wait for async work before the
|
||||
next transformer sees the event (e.g. PII redaction that mutates
|
||||
`event` in place). Use `schedule()` for decoupled async work whose
|
||||
result lands on an independent projection (e.g. async moderation
|
||||
scoring, cost lookup, external tracing).
|
||||
|
||||
Attributes:
|
||||
scope: Namespace the transformer operates within — `()` for the
|
||||
root mux. Set at construction from the mux's scope (each
|
||||
factory is called as `factory(scope)`).
|
||||
requires_async: Explicit opt-in for transformers that need a
|
||||
running event loop but don't override any async method (for
|
||||
example, transformers that call `schedule()` from a sync
|
||||
`process`). The mux also auto-detects the async lane when
|
||||
`aprocess`, `afinalize`, or `afail` is overridden.
|
||||
supports_sync: Set True only for transformers that override
|
||||
async-lane hooks while still fully supporting the sync lane.
|
||||
Such transformers may be registered under `stream()`.
|
||||
required_stream_modes: Stream modes the graph must emit for
|
||||
this transformer to have anything to process. Computed as
|
||||
the union across all registered transformers to determine
|
||||
which modes a `stream_v2` run requests from the graph.
|
||||
Empty tuple means the transformer consumes only synthetic
|
||||
events (or is purely passive).
|
||||
"""
|
||||
|
||||
requires_async: ClassVar[bool] = False
|
||||
supports_sync: ClassVar[bool] = False
|
||||
required_stream_modes: ClassVar[tuple[str, ...]] = ()
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
"""Initialize the transformer with its mux's scope.
|
||||
|
||||
Args:
|
||||
scope: The namespace tuple the owning mux is scoped to.
|
||||
`()` for the root. Factories receive this at
|
||||
construction time (`factory(scope)` in `StreamMux`).
|
||||
"""
|
||||
self.scope: tuple[str, ...] = scope
|
||||
|
||||
@abstractmethod
|
||||
def init(self) -> dict[str, Any]:
|
||||
"""Return the projection dict.
|
||||
|
||||
Keys become entries in `run.extensions`. If the transformer has
|
||||
`_native = True`, keys are also set as direct attributes on the
|
||||
run stream.
|
||||
|
||||
StreamChannel instances in the return value are automatically
|
||||
wired by the StreamMux for protocol event auto-forwarding.
|
||||
"""
|
||||
...
|
||||
|
||||
def _on_register(self, mux: Any) -> None:
|
||||
"""Called by `StreamMux._register` after this transformer is wired in.
|
||||
|
||||
Default is a no-op. Override to capture a reference to the
|
||||
owning mux — needed for transformers that build mini-muxes
|
||||
via `mux._make_child(...)` (e.g. `SubgraphTransformer`).
|
||||
"""
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
"""Handle an event on the sync lane.
|
||||
|
||||
Called for every event before it is appended to the main event
|
||||
log. Subclasses must override either `process` or `aprocess`.
|
||||
The default raises so a missing override fails loudly rather
|
||||
than silently passing every event through.
|
||||
|
||||
Args:
|
||||
event: The protocol event to observe.
|
||||
|
||||
Returns:
|
||||
True to keep the event in the main log, False to suppress it.
|
||||
"""
|
||||
raise NotImplementedError(
|
||||
f"{type(self).__name__} must override process() or aprocess()"
|
||||
)
|
||||
|
||||
async def aprocess(self, event: ProtocolEvent) -> bool:
|
||||
"""Handle an event on the async lane.
|
||||
|
||||
The mux awaits this before dispatching to the next transformer,
|
||||
so a slow `aprocess` serializes the pipeline. Use it only when
|
||||
a later transformer — or a consumer reading the event
|
||||
synchronously — must see the result of the async work (e.g.
|
||||
PII redaction that mutates `event` in place).
|
||||
|
||||
The default delegates to `process`, so purely-sync transformers
|
||||
run unchanged under `astream()`.
|
||||
|
||||
Args:
|
||||
event: The protocol event to observe.
|
||||
|
||||
Returns:
|
||||
True to keep the event in the main log, False to suppress it.
|
||||
"""
|
||||
return self.process(event)
|
||||
|
||||
def finalize(self) -> None:
|
||||
"""Called when the run ends normally (sync lane).
|
||||
|
||||
Override to close StreamChannels, resolve promises, or perform
|
||||
other teardown. StreamChannel instances in the projection dict
|
||||
are auto-closed by the mux.
|
||||
"""
|
||||
|
||||
async def afinalize(self) -> None:
|
||||
"""Called when the run ends normally (async lane).
|
||||
|
||||
By the time this runs, the mux has already awaited every task
|
||||
started via `schedule()`, so StreamChannels can be closed here
|
||||
without a last-task-wins race.
|
||||
|
||||
The default delegates to `finalize`.
|
||||
"""
|
||||
self.finalize()
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Called when the run ends with an error (sync lane).
|
||||
|
||||
Override to fail StreamChannels, reject promises, or perform
|
||||
other teardown. StreamChannel instances in the projection dict
|
||||
are auto-failed by the mux.
|
||||
|
||||
Args:
|
||||
err: The exception that ended the run.
|
||||
"""
|
||||
|
||||
async def afail(self, err: BaseException) -> None:
|
||||
"""Called when the run ends with an error (async lane).
|
||||
|
||||
The mux cancels and awaits every task started via `schedule()`
|
||||
before calling this, so cleanup doesn't race with in-flight work.
|
||||
|
||||
The default delegates to `fail`.
|
||||
|
||||
Args:
|
||||
err: The exception that ended the run.
|
||||
"""
|
||||
self.fail(err)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Scheduled async work
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def schedule(
|
||||
self,
|
||||
coro: Coroutine[Any, Any, Any],
|
||||
*,
|
||||
on_error: Literal["log", "raise"] = "log",
|
||||
) -> asyncio.Task[Any]:
|
||||
"""Schedule a coroutine tied to this transformer's lifecycle.
|
||||
|
||||
The mux holds the task reference, awaits all scheduled tasks
|
||||
during `aclose()` before calling `afinalize()`, and cancels
|
||||
them on `afail()`. Authors don't need to track tasks or
|
||||
implement the last-task-closes-the-log dance.
|
||||
|
||||
Requires a running event loop — call only under `astream()`.
|
||||
Set `requires_async = True` on the class so registration under
|
||||
sync `stream()` fails fast with a clear message.
|
||||
|
||||
Args:
|
||||
coro: The coroutine to run. Its lifecycle is owned by the
|
||||
mux from this point on.
|
||||
on_error: `"log"` (default) catches and logs any exception
|
||||
the coroutine raises, so a single failure doesn't tear
|
||||
down the run. `"raise"` lets the exception propagate
|
||||
when the mux joins pendings, converting the close path
|
||||
into the fail path.
|
||||
|
||||
Returns:
|
||||
The asyncio Task. Authors rarely need to await it directly
|
||||
— consumers read results from whatever projection the
|
||||
coroutine pushes into.
|
||||
|
||||
Raises:
|
||||
RuntimeError: If called without a running event loop (i.e.
|
||||
under sync `stream()` rather than `astream()`).
|
||||
"""
|
||||
try:
|
||||
asyncio.get_running_loop()
|
||||
except RuntimeError:
|
||||
raise RuntimeError(
|
||||
f"{type(self).__name__}.schedule() requires a running "
|
||||
"event loop; this transformer must run under astream(), "
|
||||
"not stream(). Set requires_async=True on the class so "
|
||||
"this fails at registration rather than at first event."
|
||||
) from None
|
||||
|
||||
wrapped = self._wrap_scheduled(coro) if on_error == "log" else coro
|
||||
task = asyncio.create_task(wrapped)
|
||||
tasks = self._scheduled_task_set()
|
||||
tasks.add(task)
|
||||
task.add_done_callback(tasks.discard)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
async def _wrap_scheduled(coro: Coroutine[Any, Any, Any]) -> Any:
|
||||
try:
|
||||
return await coro
|
||||
except asyncio.CancelledError:
|
||||
raise
|
||||
except BaseException:
|
||||
_logger.exception("Scheduled StreamTransformer task failed")
|
||||
|
||||
def _scheduled_task_set(self) -> set[asyncio.Task[Any]]:
|
||||
"""Return the lazily-allocated task set.
|
||||
|
||||
Avoids requiring subclasses to call `super().__init__()`.
|
||||
"""
|
||||
tasks: set[asyncio.Task[Any]] | None = getattr(
|
||||
self, "_stream_scheduled_tasks", None
|
||||
)
|
||||
if tasks is None:
|
||||
tasks = set()
|
||||
self._stream_scheduled_tasks = tasks
|
||||
return tasks
|
||||
|
||||
|
||||
def transformer_requires_async(transformer: StreamTransformer) -> bool:
|
||||
"""Return True if the transformer needs a running event loop.
|
||||
|
||||
A transformer requires async if it explicitly opts in
|
||||
(`requires_async = True`) or overrides any of the async-lane methods
|
||||
(`aprocess`, `afinalize`, `afail`) without also declaring that it
|
||||
supports the sync lane.
|
||||
|
||||
Args:
|
||||
transformer: The transformer to inspect.
|
||||
|
||||
Returns:
|
||||
True if the transformer cannot run under sync `stream()`.
|
||||
"""
|
||||
if transformer.requires_async:
|
||||
return True
|
||||
if transformer.supports_sync:
|
||||
return False
|
||||
cls = type(transformer)
|
||||
for name in ("aprocess", "afinalize", "afail"):
|
||||
if getattr(cls, name) is not getattr(StreamTransformer, name):
|
||||
return True
|
||||
return False
|
||||
@@ -1,521 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
from collections.abc import AsyncIterator, Awaitable, Callable, Iterator, Mapping
|
||||
from types import MappingProxyType, TracebackType
|
||||
from typing import TYPE_CHECKING, Any
|
||||
|
||||
from langgraph.stream._convert import convert_to_protocol_event
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from langgraph.stream._types import ProtocolEvent
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langgraph.stream.transformers import SubgraphStatus, ValuesTransformer
|
||||
|
||||
|
||||
def _drive_until_done(pump: Callable[[], bool]) -> None:
|
||||
"""Call the sync pump until it returns False."""
|
||||
while pump():
|
||||
pass
|
||||
|
||||
|
||||
async def _adrive_until_done(pump: Callable[[], Awaitable[bool]]) -> None:
|
||||
"""Call the async pump until it returns False."""
|
||||
while await pump():
|
||||
pass
|
||||
|
||||
|
||||
class GraphRunStream:
|
||||
"""Sync run stream with caller-driven pumping.
|
||||
|
||||
The caller's iteration on any projection (`values`, `messages`,
|
||||
raw events, or `output`) drives the graph forward. No background
|
||||
thread is used — the caller's `for` loop is the pump.
|
||||
|
||||
Projections are single-consumer — iterating `run.values` twice
|
||||
raises. Use `projection.tee(n)` if you genuinely need fan-out.
|
||||
|
||||
All transformer projections live in `extensions`. Native transformer
|
||||
projections (those with `_native = True`) are also set as direct
|
||||
attributes on this instance (e.g. `run.values`, `run.messages`).
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
graph_iter: Iterator[Any] | None,
|
||||
mux: StreamMux,
|
||||
values_transformer: ValuesTransformer,
|
||||
*,
|
||||
wire_pump: bool = True,
|
||||
) -> None:
|
||||
"""Initialize the run stream.
|
||||
|
||||
Args:
|
||||
graph_iter: Pull-based iterator over the graph's stream,
|
||||
or `None` for nested run streams whose pump is driven
|
||||
by an outer run (e.g. `SubgraphRunStream`).
|
||||
mux: The StreamMux owning projections and the main log.
|
||||
values_transformer: The built-in values transformer
|
||||
providing `output` / `interrupted` / `interrupts`.
|
||||
wire_pump: When True (default), bind `_pump_next` as the
|
||||
mux's pump callable. Subclasses that inherit a parent
|
||||
pump via `StreamMux._make_child` should pass False to
|
||||
preserve the parent binding.
|
||||
"""
|
||||
self._graph_iter = graph_iter
|
||||
self._mux = mux
|
||||
self.extensions: Mapping[str, Any] = MappingProxyType(mux.extensions)
|
||||
self._values_transformer = values_transformer
|
||||
self._exhausted = False
|
||||
for key in mux.native_keys:
|
||||
setattr(self, key, mux.extensions[key])
|
||||
if wire_pump:
|
||||
self._wire_request_more(mux)
|
||||
|
||||
def _wire_request_more(self, mux: StreamMux) -> None:
|
||||
"""Wire the sync pull callback through the mux.
|
||||
|
||||
Routing through `mux.bind_pump` (rather than walking
|
||||
projections directly here) lets child mini-muxes built by
|
||||
`mux._make_child(...)` inherit the same pump callable, so
|
||||
cursors on a subgraph handle's projections drive the root
|
||||
pump just like cursors on `run.values` do.
|
||||
"""
|
||||
mux.bind_pump(self._pump_next)
|
||||
|
||||
def _pump_next(self) -> bool:
|
||||
"""Pull one event from the graph and push it through the mux.
|
||||
|
||||
Returns:
|
||||
True if an event was pulled, False if the graph is exhausted
|
||||
or has raised. Always False when constructed with
|
||||
`graph_iter=None` (the run is driven by an outer pump).
|
||||
"""
|
||||
if self._exhausted or self._graph_iter is None:
|
||||
return False
|
||||
try:
|
||||
part = next(self._graph_iter)
|
||||
self._mux.push(convert_to_protocol_event(part))
|
||||
return True
|
||||
except StopIteration:
|
||||
self._mux.close()
|
||||
self._exhausted = True
|
||||
return False
|
||||
except Exception as e:
|
||||
self._mux.fail(e)
|
||||
self._exhausted = True
|
||||
return False
|
||||
|
||||
def abort(self) -> None:
|
||||
"""Stop the run early.
|
||||
|
||||
Closes the mux and marks the stream exhausted. The graph
|
||||
iterator is dropped; any in-flight nodes see the closure on
|
||||
their next yield point. Idempotent.
|
||||
"""
|
||||
if self._exhausted:
|
||||
return
|
||||
self._exhausted = True
|
||||
try:
|
||||
self._mux.close()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
def __enter__(self) -> GraphRunStream:
|
||||
return self
|
||||
|
||||
def __exit__(
|
||||
self,
|
||||
exc_type: type[BaseException] | None,
|
||||
exc: BaseException | None,
|
||||
tb: TracebackType | None,
|
||||
) -> None:
|
||||
self.abort()
|
||||
|
||||
@property
|
||||
def output(self) -> dict[str, Any] | None:
|
||||
"""Drive the run to completion and return the final state."""
|
||||
_drive_until_done(self._pump_next)
|
||||
if (err := self._values_transformer.error) is not None:
|
||||
raise err
|
||||
return self._values_transformer._latest
|
||||
|
||||
@property
|
||||
def interrupted(self) -> bool:
|
||||
"""Drive the run to completion, then return whether it was
|
||||
interrupted.
|
||||
|
||||
Raises:
|
||||
BaseException: If the run ended with an error.
|
||||
"""
|
||||
_drive_until_done(self._pump_next)
|
||||
if (err := self._values_transformer.error) is not None:
|
||||
raise err
|
||||
return self._values_transformer._interrupted
|
||||
|
||||
@property
|
||||
def interrupts(self) -> list[Any]:
|
||||
"""Drive the run to completion, then return interrupt payloads.
|
||||
|
||||
Raises:
|
||||
BaseException: If the run ended with an error.
|
||||
"""
|
||||
_drive_until_done(self._pump_next)
|
||||
if (err := self._values_transformer.error) is not None:
|
||||
raise err
|
||||
return self._values_transformer._interrupts
|
||||
|
||||
def __iter__(self) -> Iterator[ProtocolEvent]:
|
||||
"""Subscribe to the main event log and iterate protocol events."""
|
||||
return iter(self._mux._events)
|
||||
|
||||
def interleave(self, *names: str) -> Iterator[tuple[str, Any]]:
|
||||
"""Iterate multiple projections round-robin, yielding ``(name, item)``.
|
||||
|
||||
Each turn advances one projection's cursor; when a cursor's buffer
|
||||
is empty, pulling from it drives the pump once, which fans out to
|
||||
every subscribed projection log. Projections whose items aren't
|
||||
consumed on this turn sit in their own buffers only until the next
|
||||
turn reaches them, bounding memory by the skew between projection
|
||||
rates rather than letting any single log grow to the full run
|
||||
length.
|
||||
|
||||
Projections are exhausted independently; a projection that finishes
|
||||
early drops out of the rotation while others continue. The overall
|
||||
iterator ends once all named projections are done.
|
||||
|
||||
Args:
|
||||
*names: Projection keys to interleave. Must match keys in
|
||||
``extensions``.
|
||||
|
||||
Yields:
|
||||
``(name, item)`` tuples in round-robin order across the named
|
||||
projections.
|
||||
|
||||
Raises:
|
||||
KeyError: If a name doesn't match a registered projection.
|
||||
|
||||
Example:
|
||||
```python
|
||||
for name, item in run.interleave("messages", "values"):
|
||||
if name == "messages":
|
||||
print("msg:", item)
|
||||
else:
|
||||
print("val:", item)
|
||||
```
|
||||
"""
|
||||
cursors: dict[str, Iterator[Any]] = {
|
||||
name: iter(self.extensions[name]) for name in names
|
||||
}
|
||||
done: set[str] = set()
|
||||
while len(done) < len(cursors):
|
||||
for name, cursor in cursors.items():
|
||||
if name in done:
|
||||
continue
|
||||
try:
|
||||
item = next(cursor)
|
||||
except StopIteration:
|
||||
done.add(name)
|
||||
continue
|
||||
yield (name, item)
|
||||
|
||||
|
||||
class AsyncGraphRunStream:
|
||||
"""Async run stream with caller-driven pumping.
|
||||
|
||||
Async iteration on any projection drives the graph forward — there
|
||||
is no background task. Concurrent consumers share a single-flight
|
||||
pump via an `asyncio.Lock`, so each awaiting cursor contributes one
|
||||
event per acquisition. Backpressure comes from the logs: when a
|
||||
subscribed log's buffer reaches `maxlen`, `apush` awaits the
|
||||
subscriber to drain, which holds back the pump and paces the graph.
|
||||
|
||||
Projections are single-consumer — a second `aiter(run.values)`
|
||||
raises. Use `projection.tee(n)` for fan-out.
|
||||
|
||||
Use as an async context manager to guarantee clean shutdown on
|
||||
early exit:
|
||||
|
||||
```python
|
||||
async with await handler.astream(input) as run:
|
||||
async for msg in run.messages:
|
||||
...
|
||||
```
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
graph_aiter: AsyncIterator[Any] | None,
|
||||
mux: StreamMux,
|
||||
values_transformer: ValuesTransformer,
|
||||
*,
|
||||
wire_pump: bool = True,
|
||||
) -> None:
|
||||
"""Initialize the async run stream.
|
||||
|
||||
Args:
|
||||
graph_aiter: Async iterator over the graph's stream, or
|
||||
`None` for nested run streams whose pump is driven by
|
||||
an outer run (e.g. `AsyncSubgraphRunStream`).
|
||||
mux: The StreamMux owning projections and the main log.
|
||||
values_transformer: The built-in values transformer
|
||||
providing `output` / `interrupted` / `interrupts`.
|
||||
wire_pump: When True (default), bind `_apump_next` as the
|
||||
mux's async pump callable. Subclasses that inherit a
|
||||
parent pump via `StreamMux._make_child` should pass
|
||||
False to preserve the parent binding.
|
||||
"""
|
||||
self._graph_aiter = graph_aiter
|
||||
self._mux = mux
|
||||
self.extensions: Mapping[str, Any] = MappingProxyType(mux.extensions)
|
||||
self._values_transformer = values_transformer
|
||||
self._exhausted = False
|
||||
self._pump_cond = asyncio.Condition()
|
||||
self._pumping = False
|
||||
for key in mux.native_keys:
|
||||
setattr(self, key, mux.extensions[key])
|
||||
if wire_pump:
|
||||
self._wire_arequest_more(mux)
|
||||
|
||||
def _wire_arequest_more(self, mux: StreamMux) -> None:
|
||||
"""Wire the async pull callback through the mux.
|
||||
|
||||
Mirrors `_wire_request_more`: routing through
|
||||
`mux.bind_apump` lets child mini-muxes inherit the pump
|
||||
callable so cursors on subgraph handles drive the root
|
||||
pump.
|
||||
"""
|
||||
mux.bind_apump(self._apump_next)
|
||||
|
||||
async def _apump_next(self) -> bool:
|
||||
"""Drive one pump step, or wait for the active pumper to drive one.
|
||||
|
||||
"Take-a-number" semantics: at most one task at a time calls
|
||||
`graph_aiter.__anext__()` (asyncio iterators can't be advanced
|
||||
concurrently). Other callers wait on a Condition that the
|
||||
active pumper notifies after each step. This lets a "passive"
|
||||
consumer — one whose projection's buffer is being filled by the
|
||||
active pumper's push — wake up as soon as its data lands,
|
||||
instead of queueing on the pump and only observing its data one
|
||||
graph event late.
|
||||
|
||||
`except Exception` is intentional — `CancelledError` and other
|
||||
`BaseException` subclasses propagate, matching asyncio's
|
||||
cancellation contract.
|
||||
|
||||
Returns:
|
||||
True if a pump step completed (by this task or another),
|
||||
False if the graph is exhausted.
|
||||
"""
|
||||
async with self._pump_cond:
|
||||
if self._exhausted or self._graph_aiter is None:
|
||||
return False
|
||||
if self._pumping:
|
||||
# Another task is pumping; wait for its progress signal.
|
||||
await self._pump_cond.wait()
|
||||
return not self._exhausted
|
||||
self._pumping = True
|
||||
|
||||
try:
|
||||
try:
|
||||
part = await self._graph_aiter.__anext__()
|
||||
await self._mux.apush(convert_to_protocol_event(part))
|
||||
return True
|
||||
except StopAsyncIteration:
|
||||
self._exhausted = True
|
||||
await self._mux.aclose()
|
||||
return False
|
||||
except Exception as e:
|
||||
self._exhausted = True
|
||||
await self._mux.afail(e)
|
||||
return False
|
||||
finally:
|
||||
async with self._pump_cond:
|
||||
self._pumping = False
|
||||
self._pump_cond.notify_all()
|
||||
|
||||
async def abort(self) -> None:
|
||||
"""Stop the run early.
|
||||
|
||||
Marks the stream exhausted, wakes any pump-waiters, and closes
|
||||
the mux. Any `apush` blocked on backpressure wakes and returns
|
||||
without appending. Idempotent.
|
||||
"""
|
||||
async with self._pump_cond:
|
||||
if self._exhausted:
|
||||
return
|
||||
self._exhausted = True
|
||||
self._pump_cond.notify_all()
|
||||
try:
|
||||
await self._mux.aclose()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
async def __aenter__(self) -> AsyncGraphRunStream:
|
||||
return self
|
||||
|
||||
async def __aexit__(
|
||||
self,
|
||||
exc_type: type[BaseException] | None,
|
||||
exc: BaseException | None,
|
||||
tb: TracebackType | None,
|
||||
) -> None:
|
||||
await self.abort()
|
||||
|
||||
async def output(self) -> dict[str, Any] | None:
|
||||
"""Drive the run to completion and return the final state.
|
||||
|
||||
Methods (not properties) on the async lane so `run.output`
|
||||
without `await` raises at type-check time instead of silently
|
||||
yielding a coroutine object.
|
||||
|
||||
Example:
|
||||
```python
|
||||
output = await run.output()
|
||||
```
|
||||
|
||||
Raises:
|
||||
BaseException: If the run ended with an error.
|
||||
"""
|
||||
await _adrive_until_done(self._apump_next)
|
||||
if (err := self._values_transformer.error) is not None:
|
||||
raise err
|
||||
return self._values_transformer._latest
|
||||
|
||||
async def interrupted(self) -> bool:
|
||||
"""Drive the run to completion and return whether it was
|
||||
interrupted.
|
||||
|
||||
Raises:
|
||||
BaseException: If the run ended with an error.
|
||||
"""
|
||||
await _adrive_until_done(self._apump_next)
|
||||
if (err := self._values_transformer.error) is not None:
|
||||
raise err
|
||||
return self._values_transformer._interrupted
|
||||
|
||||
async def interrupts(self) -> list[Any]:
|
||||
"""Drive the run to completion and return interrupt payloads.
|
||||
|
||||
Raises:
|
||||
BaseException: If the run ended with an error.
|
||||
"""
|
||||
await _adrive_until_done(self._apump_next)
|
||||
if (err := self._values_transformer.error) is not None:
|
||||
raise err
|
||||
return self._values_transformer._interrupts
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[ProtocolEvent]:
|
||||
"""Subscribe to the main event log and iterate protocol events."""
|
||||
return self._mux._events.__aiter__()
|
||||
|
||||
|
||||
class _SubgraphRunStreamMixin:
|
||||
"""Subgraph metadata + parent-pump delegation shared by both lanes.
|
||||
|
||||
Inherits from `GraphRunStream` (or `AsyncGraphRunStream`) with
|
||||
`graph_iter=None` + `wire_pump=False` — the mini-mux is driven
|
||||
by the parent's pump (inherited via `StreamMux._make_child`), and
|
||||
the handle never pulls upstream itself. Pump-driving methods
|
||||
delegate to the parent pump so `handle.output` and friends drive
|
||||
the root run.
|
||||
|
||||
Subclasses set the parent pump function captured at construction
|
||||
(`_parent_pump_fn` / `_parent_apump_fn`) and override
|
||||
`_pump_next` / `_apump_next` to delegate to it.
|
||||
|
||||
Status is updated in place by `SubgraphTransformer`. Iterate
|
||||
`run.subgraphs` to receive handles as subgraphs spawn, then
|
||||
drill into projections inside the loop body **before** the next
|
||||
pump cycle — same lazy-subscribe constraint as root projections.
|
||||
"""
|
||||
|
||||
path: tuple[str, ...]
|
||||
graph_name: str | None
|
||||
trigger_call_id: str | None
|
||||
status: SubgraphStatus
|
||||
error: str | None
|
||||
_seen_terminal: bool
|
||||
|
||||
|
||||
class SubgraphRunStream(GraphRunStream, _SubgraphRunStreamMixin):
|
||||
"""Sync handle for a discovered subgraph (extends `GraphRunStream`)."""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
mux: StreamMux,
|
||||
values_transformer: ValuesTransformer,
|
||||
*,
|
||||
path: tuple[str, ...],
|
||||
graph_name: str | None = None,
|
||||
trigger_call_id: str | None = None,
|
||||
) -> None:
|
||||
# Capture the parent-inherited pump before super().__init__
|
||||
# touches anything; we delegate to it from `_pump_next`.
|
||||
self._parent_pump_fn: Callable[[], bool] | None = mux._pump_fn
|
||||
super().__init__(
|
||||
graph_iter=None,
|
||||
mux=mux,
|
||||
values_transformer=values_transformer,
|
||||
wire_pump=False,
|
||||
)
|
||||
self.path = path
|
||||
self.graph_name = graph_name
|
||||
self.trigger_call_id = trigger_call_id
|
||||
self.status = "started"
|
||||
self.error = None
|
||||
self._seen_terminal = False
|
||||
|
||||
def _pump_next(self) -> bool:
|
||||
"""Delegate to the parent's pump.
|
||||
|
||||
Cursors on this handle's projections call here when their
|
||||
buffers empty. Driving the parent fans events into our
|
||||
mini-mux, transparently advancing the whole run.
|
||||
"""
|
||||
if (
|
||||
self._exhausted
|
||||
or self._seen_terminal
|
||||
or self._mux._events._closed
|
||||
or self._parent_pump_fn is None
|
||||
):
|
||||
return False
|
||||
return self._parent_pump_fn()
|
||||
|
||||
|
||||
class AsyncSubgraphRunStream(AsyncGraphRunStream, _SubgraphRunStreamMixin):
|
||||
"""Async handle for a discovered subgraph (extends `AsyncGraphRunStream`)."""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
mux: StreamMux,
|
||||
values_transformer: ValuesTransformer,
|
||||
*,
|
||||
path: tuple[str, ...],
|
||||
graph_name: str | None = None,
|
||||
trigger_call_id: str | None = None,
|
||||
) -> None:
|
||||
self._parent_apump_fn: Callable[[], Awaitable[bool]] | None = mux._apump_fn
|
||||
super().__init__(
|
||||
graph_aiter=None,
|
||||
mux=mux,
|
||||
values_transformer=values_transformer,
|
||||
wire_pump=False,
|
||||
)
|
||||
self.path = path
|
||||
self.graph_name = graph_name
|
||||
self.trigger_call_id = trigger_call_id
|
||||
self.status = "started"
|
||||
self.error = None
|
||||
self._seen_terminal = False
|
||||
|
||||
async def _apump_next(self) -> bool:
|
||||
"""Delegate to the parent's async pump."""
|
||||
if (
|
||||
self._exhausted
|
||||
or self._seen_terminal
|
||||
or self._mux._events._closed
|
||||
or self._parent_apump_fn is None
|
||||
):
|
||||
return False
|
||||
return await self._parent_apump_fn()
|
||||
@@ -1,327 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
from collections import deque
|
||||
from collections.abc import AsyncIterator, Awaitable, Callable, Iterator
|
||||
from typing import Generic, TypeVar
|
||||
|
||||
T = TypeVar("T")
|
||||
|
||||
|
||||
class StreamChannel(Generic[T]):
|
||||
"""Single-consumer drainable queue for streaming events, with optional
|
||||
protocol auto-forwarding.
|
||||
|
||||
When constructed with a `name`, the StreamMux auto-wires every
|
||||
`push()` to also inject a `ProtocolEvent` into the main event stream
|
||||
using the channel's name as the method. When constructed without a
|
||||
name, the channel is local-only — items are only visible to
|
||||
in-process consumers that iterate the channel directly.
|
||||
|
||||
Items are popped off the front as the consumer advances — there is
|
||||
no retention beyond what's currently queued. A channel accepts
|
||||
exactly one subscriber; a second `__iter__` / `__aiter__` call
|
||||
raises. Use `tee(n)` / `atee(n)` for fan-out.
|
||||
|
||||
Starts unbound — neither `__iter__` nor `__aiter__` is available
|
||||
until the StreamMux calls `_bind(is_async)`. After binding, only
|
||||
the matching iteration protocol works; the other raises `TypeError`.
|
||||
|
||||
Pump wiring (set by the run stream, not by `_bind`):
|
||||
- `_request_more`: sync pump callable, returns True if a new
|
||||
event was produced.
|
||||
- `_arequest_more`: async pump coroutine factory, same contract.
|
||||
|
||||
Memory is bounded by caller pace: both sync and async use caller-
|
||||
driven pumps, so each cursor advance produces at most one event.
|
||||
|
||||
Lazy-subscribe: `push` appends to the local buffer only when a
|
||||
subscriber has registered. Auto-forward via `_wire_fn` always fires
|
||||
regardless of subscription state.
|
||||
|
||||
Lifecycle (`close` / `fail`) is managed by the mux — transformers
|
||||
don't need to close their channels manually.
|
||||
"""
|
||||
|
||||
def __init__(self, name: str | None = None, *, maxlen: int | None = None) -> None:
|
||||
"""Initialize the channel.
|
||||
|
||||
Args:
|
||||
name: Optional protocol channel name. When set, the
|
||||
StreamMux wires every `push()` to also inject a
|
||||
`ProtocolEvent` into the main event stream. Surfaced
|
||||
on the wire as `custom:<name>` for user-defined
|
||||
transformers, or as `<name>` for channels owned by a
|
||||
native transformer (`_native = True`). When `None`,
|
||||
the channel is local-only.
|
||||
maxlen: Accepted for forward compatibility; currently
|
||||
unused. The caller-driven pump bounds memory naturally
|
||||
for single-consumer use.
|
||||
|
||||
Raises:
|
||||
ValueError: If `maxlen` is not a positive integer or `None`.
|
||||
"""
|
||||
if maxlen is not None and maxlen <= 0:
|
||||
raise ValueError("StreamChannel maxlen must be a positive int or None")
|
||||
self.name = name
|
||||
self._items: deque[T] = deque()
|
||||
self._maxlen: int | None = maxlen
|
||||
self._closed = False
|
||||
self._error: BaseException | None = None
|
||||
|
||||
self._is_async: bool | None = None
|
||||
|
||||
self._subscribed = False
|
||||
|
||||
self._request_more: Callable[[], bool] | None = None
|
||||
self._arequest_more: Callable[[], Awaitable[bool]] | None = None
|
||||
|
||||
self._wire_fn: Callable[[T], None] | None = None
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Binding
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def _bind(self, *, is_async: bool) -> None:
|
||||
"""Bind this channel to sync or async mode.
|
||||
|
||||
Called by the StreamMux after transformer registration. Must be
|
||||
called exactly once before any iteration.
|
||||
|
||||
Args:
|
||||
is_async: True to enable async iteration, False for sync.
|
||||
|
||||
Raises:
|
||||
RuntimeError: If the channel has already been bound.
|
||||
"""
|
||||
if self._is_async is not None:
|
||||
raise RuntimeError("StreamChannel is already bound")
|
||||
self._is_async = is_async
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Mux wiring (not called by transformers directly)
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def _wire(self, fn: Callable[[T], None]) -> None:
|
||||
"""Install the auto-forward callback (called by StreamMux)."""
|
||||
self._wire_fn = fn
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Producer API
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def push(self, item: T) -> None:
|
||||
"""Append an item. Auto-forwards if wired.
|
||||
|
||||
The local buffer append is a no-op when no subscriber is
|
||||
registered, but auto-forwarding always fires so wired events
|
||||
reach the main event log regardless of subscription state.
|
||||
|
||||
Raises:
|
||||
RuntimeError: If the channel is closed (and subscribed).
|
||||
"""
|
||||
if self._subscribed:
|
||||
if self._closed:
|
||||
raise RuntimeError("Cannot push to a closed StreamChannel")
|
||||
self._items.append(item)
|
||||
if self._wire_fn is not None:
|
||||
self._wire_fn(item)
|
||||
|
||||
def close(self) -> None:
|
||||
"""Mark the channel as complete."""
|
||||
self._closed = True
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Mark the channel as errored.
|
||||
|
||||
Args:
|
||||
err: The exception to surface to the subscriber.
|
||||
"""
|
||||
self._error = err
|
||||
self._closed = True
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Sync iteration (caller-driven pump)
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def __iter__(self) -> Iterator[T]:
|
||||
"""Subscribe and return a sync cursor. Can be called only once.
|
||||
|
||||
Raises:
|
||||
TypeError: If the channel is unbound or bound to async mode.
|
||||
RuntimeError: If the channel already has a subscriber.
|
||||
"""
|
||||
if self._is_async is None:
|
||||
raise TypeError(
|
||||
"StreamChannel has not been bound yet. "
|
||||
"Register the transformer with a StreamMux first."
|
||||
)
|
||||
if self._is_async:
|
||||
raise TypeError(
|
||||
"This StreamChannel is bound to async mode — use 'async for' instead."
|
||||
)
|
||||
if self._subscribed:
|
||||
raise RuntimeError(
|
||||
"StreamChannel already has a subscriber; use .tee(n) for fan-out."
|
||||
)
|
||||
self._subscribed = True
|
||||
return self._sync_cursor()
|
||||
|
||||
def _sync_cursor(self) -> Iterator[T]:
|
||||
while True:
|
||||
if self._items:
|
||||
yield self._items.popleft()
|
||||
elif self._closed:
|
||||
if self._error is not None:
|
||||
raise self._error
|
||||
return
|
||||
elif self._request_more is not None:
|
||||
if not self._request_more():
|
||||
if not self._items and not self._closed:
|
||||
return
|
||||
else:
|
||||
return
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Async iteration (caller-driven pump)
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[T]:
|
||||
"""Subscribe and return an async cursor. Can be called only once.
|
||||
|
||||
Raises:
|
||||
TypeError: If the channel is unbound or bound to sync mode.
|
||||
RuntimeError: If the channel already has a subscriber.
|
||||
"""
|
||||
if self._is_async is None:
|
||||
raise TypeError(
|
||||
"StreamChannel has not been bound yet. "
|
||||
"Register the transformer with a StreamMux first."
|
||||
)
|
||||
if not self._is_async:
|
||||
raise TypeError(
|
||||
"This StreamChannel is bound to sync mode — use 'for' instead."
|
||||
)
|
||||
if self._subscribed:
|
||||
raise RuntimeError(
|
||||
"StreamChannel already has a subscriber; use .atee(n) for fan-out."
|
||||
)
|
||||
self._subscribed = True
|
||||
return self._async_cursor()
|
||||
|
||||
async def _async_cursor(self) -> AsyncIterator[T]:
|
||||
while True:
|
||||
if self._items:
|
||||
yield self._items.popleft()
|
||||
elif self._closed:
|
||||
if self._error is not None:
|
||||
raise self._error
|
||||
return
|
||||
elif self._arequest_more is not None:
|
||||
if not await self._arequest_more():
|
||||
if not self._items and not self._closed:
|
||||
return
|
||||
else:
|
||||
return
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Fan-out via tee
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def tee(self, n: int = 2) -> tuple[Iterator[T], ...]:
|
||||
"""Subscribe and return `n` independent sync iterators.
|
||||
|
||||
Each branch has its own buffer; items pulled from the
|
||||
underlying cursor are copied into every branch. Branches are
|
||||
naturally bounded by caller pace since the sync pump is
|
||||
caller-driven.
|
||||
|
||||
Args:
|
||||
n: Number of branches to create. Must be >= 1.
|
||||
|
||||
Returns:
|
||||
A tuple of `n` iterators over the same underlying stream.
|
||||
|
||||
Raises:
|
||||
TypeError: If the channel is unbound or bound to async mode.
|
||||
RuntimeError: If the channel already has a subscriber.
|
||||
ValueError: If `n` < 1.
|
||||
"""
|
||||
if n < 1:
|
||||
raise ValueError("tee() requires n >= 1")
|
||||
source = self.__iter__()
|
||||
buffers: list[deque[T]] = [deque() for _ in range(n)]
|
||||
exhausted = [False]
|
||||
|
||||
def branch(i: int) -> Iterator[T]:
|
||||
buf = buffers[i]
|
||||
while True:
|
||||
if buf:
|
||||
yield buf.popleft()
|
||||
elif exhausted[0]:
|
||||
return
|
||||
else:
|
||||
try:
|
||||
item = next(source)
|
||||
except StopIteration:
|
||||
exhausted[0] = True
|
||||
return
|
||||
for b in buffers:
|
||||
b.append(item)
|
||||
|
||||
return tuple(branch(i) for i in range(n))
|
||||
|
||||
def atee(self, n: int = 2) -> tuple[AsyncIterator[T], ...]:
|
||||
"""Subscribe and return `n` independent async iterators.
|
||||
|
||||
Caller-driven fan-out: each branch's `__anext__` either pops
|
||||
from its own buffer or, under a shared `asyncio.Lock`, pulls
|
||||
one item from the underlying cursor and distributes it to
|
||||
every branch's buffer.
|
||||
|
||||
Args:
|
||||
n: Number of branches to create. Must be >= 1.
|
||||
|
||||
Returns:
|
||||
A tuple of `n` async iterators over the same underlying
|
||||
stream.
|
||||
|
||||
Raises:
|
||||
TypeError: If the channel is unbound or bound to sync mode.
|
||||
RuntimeError: If the channel already has a subscriber.
|
||||
ValueError: If `n` < 1.
|
||||
"""
|
||||
if n < 1:
|
||||
raise ValueError("atee() requires n >= 1")
|
||||
source = self.__aiter__()
|
||||
buffers: list[deque[T]] = [deque() for _ in range(n)]
|
||||
exhausted = [False]
|
||||
error: list[BaseException | None] = [None]
|
||||
lock = asyncio.Lock()
|
||||
|
||||
async def branch(i: int) -> AsyncIterator[T]:
|
||||
buf = buffers[i]
|
||||
while True:
|
||||
if buf:
|
||||
yield buf.popleft()
|
||||
continue
|
||||
if exhausted[0]:
|
||||
if error[0] is not None:
|
||||
raise error[0]
|
||||
return
|
||||
async with lock:
|
||||
if buf or exhausted[0]:
|
||||
continue
|
||||
try:
|
||||
item = await source.__anext__()
|
||||
except StopAsyncIteration:
|
||||
exhausted[0] = True
|
||||
continue
|
||||
except Exception as e:
|
||||
error[0] = e
|
||||
exhausted[0] = True
|
||||
continue
|
||||
for b in buffers:
|
||||
b.append(item)
|
||||
|
||||
return tuple(branch(i) for i in range(n))
|
||||
@@ -1,749 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from typing import TYPE_CHECKING, Any, Literal, cast
|
||||
|
||||
from langchain_core.language_models._compat_bridge import message_to_events
|
||||
from langchain_core.language_models.chat_model_stream import (
|
||||
AsyncChatModelStream,
|
||||
ChatModelStream,
|
||||
)
|
||||
from langchain_core.messages import AIMessageChunk, BaseMessage
|
||||
from langchain_protocol.protocol import MessagesData
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
from langgraph.errors import GraphInterrupt
|
||||
from langgraph.stream._types import ProtocolEvent, StreamTransformer
|
||||
from langgraph.stream.run_stream import AsyncSubgraphRunStream, SubgraphRunStream
|
||||
from langgraph.stream.stream_channel import StreamChannel
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from collections.abc import Awaitable, Callable
|
||||
|
||||
from langgraph.stream._mux import StreamMux
|
||||
|
||||
_logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class ValuesTransformer(StreamTransformer):
|
||||
"""Capture values events as a drainable stream of state snapshots.
|
||||
|
||||
Keeps `_latest` / `_interrupted` / `_interrupts` as scalar state
|
||||
regardless of whether the log has a subscriber — so `run.output()`
|
||||
and `run.interrupted` work without forcing the caller to iterate
|
||||
`run.values`. Log pushes are silent no-ops when unsubscribed.
|
||||
|
||||
Native transformer — projection keys are exposed as direct
|
||||
attributes on the run stream (e.g. `run.values`).
|
||||
|
||||
Only values events at the run's own level are captured; snapshots
|
||||
from deeper subgraphs are left in the main event log but excluded
|
||||
from the projection. "Own level" is defined by `scope`, which
|
||||
`stream_v2` / `astream_v2` populate from the caller's checkpoint
|
||||
namespace so that a nested `stream_v2` call still sees its own
|
||||
root snapshots.
|
||||
"""
|
||||
|
||||
_native = True
|
||||
required_stream_modes = ("values",)
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._log: StreamChannel[dict[str, Any]] = StreamChannel()
|
||||
self._latest: dict[str, Any] | None = None
|
||||
self._interrupted = False
|
||||
self._interrupts: list[Any] = []
|
||||
# Cached as a list once for cheap equality with the protocol
|
||||
# event's `namespace` field, which is `list[str]`.
|
||||
self._scope_list: list[str] = list(scope)
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"values": self._log}
|
||||
|
||||
@property
|
||||
def error(self) -> BaseException | None:
|
||||
"""The error that ended the run, or `None` if it succeeded.
|
||||
|
||||
Set by the mux when it auto-fails the projection log.
|
||||
"""
|
||||
return self._log._error
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
if event["method"] != "values":
|
||||
return True
|
||||
params = event["params"]
|
||||
if params["namespace"] != self._scope_list:
|
||||
return True
|
||||
self._latest = params["data"]
|
||||
interrupts = params.get("interrupts", ())
|
||||
if interrupts:
|
||||
self._interrupted = True
|
||||
self._interrupts.extend(interrupts)
|
||||
self._log.push(params["data"])
|
||||
return True
|
||||
|
||||
|
||||
class MessagesTransformer(StreamTransformer):
|
||||
"""Capture messages events as ChatModelStream objects.
|
||||
|
||||
The messages projection yields one `ChatModelStream` (or
|
||||
`AsyncChatModelStream`) per LLM call. Consumers iterate
|
||||
`run.messages` to get stream handles, then use each handle's typed
|
||||
projections (`.text`, `.reasoning`, `.tool_calls`, `.usage`,
|
||||
`.output`) for per-message content.
|
||||
|
||||
Two input shapes are handled (via `params["data"] = (payload,
|
||||
metadata)` from `StreamMessagesHandler`):
|
||||
|
||||
1. Protocol event (dict with `"event"` key) — emitted by
|
||||
`stream_v2()` / `astream_v2()` via the `on_stream_event`
|
||||
callback. Routed to an existing `ChatModelStream` by
|
||||
`metadata["run_id"]`. A `message-start` event creates a new
|
||||
stream; `message-finish` closes it.
|
||||
2. Whole `AIMessage` — emitted from `on_chain_end` when a node
|
||||
returns a finalized message. Replayed as a synthetic protocol
|
||||
event lifecycle via `message_to_events`, then the
|
||||
already-complete stream is pushed to the log.
|
||||
|
||||
V1 `AIMessageChunk` tuples (from `on_llm_new_token`) are not
|
||||
streamed into this projection: chat models that want to populate
|
||||
`run.messages` with content-block streaming must use
|
||||
`stream_v2()` / `astream_v2()`. Models called via the legacy
|
||||
`stream()` method still surface their final `AIMessage` via
|
||||
`on_chain_end` when a node returns it as state.
|
||||
|
||||
Only events at the run's own level are projected; tokens from
|
||||
deeper subgraphs are left in the main event log but excluded from
|
||||
`.messages`. "Own level" is defined by `scope`, which
|
||||
`stream_v2` / `astream_v2` populate from the caller's checkpoint
|
||||
namespace so that a `stream_v2` call inside a node still sees its
|
||||
own root chat model streams on `.messages`. Consumers that need
|
||||
subgraph tokens should iterate the raw event stream or register a
|
||||
custom transformer.
|
||||
|
||||
Native transformer — the `messages` projection is exposed as a
|
||||
direct attribute on the run stream.
|
||||
"""
|
||||
|
||||
_native = True
|
||||
required_stream_modes = ("messages",)
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._log: StreamChannel[ChatModelStream] = StreamChannel()
|
||||
# Correlate protocol events back to a ChatModelStream by run_id
|
||||
# (attached to the event's metadata by StreamMessagesHandler).
|
||||
self._by_run: dict[str, ChatModelStream] = {}
|
||||
self._pump_fn: Callable[[], bool] | None = None
|
||||
self._apump_fn: Callable[[], Awaitable[bool]] | None = None
|
||||
# Cached as a list once for cheap equality with the protocol
|
||||
# event's `namespace` field, which is `list[str]`.
|
||||
self._scope_list: list[str] = list(scope)
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"messages": self._log}
|
||||
|
||||
def _bind_pump(self, fn: Callable[[], bool]) -> None:
|
||||
"""Wire the sync pull callback. Called by GraphRunStream._wire_request_more."""
|
||||
self._pump_fn = fn
|
||||
|
||||
def _bind_apump(self, fn: Callable[[], Awaitable[bool]]) -> None:
|
||||
"""Wire the async pull callback.
|
||||
|
||||
Called by `AsyncGraphRunStream._wire_arequest_more` so each
|
||||
`AsyncChatModelStream` this transformer creates can drive the
|
||||
shared graph pump from its projection cursors.
|
||||
"""
|
||||
self._apump_fn = fn
|
||||
|
||||
def _make_stream(
|
||||
self,
|
||||
*,
|
||||
namespace: list[str],
|
||||
node: str | None,
|
||||
message_id: str | None,
|
||||
) -> ChatModelStream:
|
||||
"""Create a ChatModelStream (sync) or AsyncChatModelStream (async).
|
||||
|
||||
Wires whichever pump is bound. Prefers the async pump so nested
|
||||
iteration under `AsyncGraphRunStream` drives the graph forward
|
||||
without a background task. The unwired fallback (no pump bound)
|
||||
is used by unit tests that dispatch events manually.
|
||||
"""
|
||||
if self._apump_fn is not None:
|
||||
astream = AsyncChatModelStream(
|
||||
namespace=namespace,
|
||||
node=node,
|
||||
message_id=message_id,
|
||||
)
|
||||
astream.set_arequest_more(self._apump_fn)
|
||||
return astream
|
||||
if self._pump_fn is not None:
|
||||
stream: ChatModelStream = ChatModelStream(
|
||||
namespace=namespace,
|
||||
node=node,
|
||||
message_id=message_id,
|
||||
)
|
||||
stream.set_request_more(self._pump_fn)
|
||||
return stream
|
||||
return AsyncChatModelStream(
|
||||
namespace=namespace,
|
||||
node=node,
|
||||
message_id=message_id,
|
||||
)
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
if event["method"] != "messages":
|
||||
return True
|
||||
params = event["params"]
|
||||
if params["namespace"] != self._scope_list:
|
||||
return True
|
||||
|
||||
payload, metadata = params["data"]
|
||||
node: str | None = metadata.get("langgraph_node")
|
||||
run_id = str(metadata.get("run_id", "")) if metadata else ""
|
||||
|
||||
if isinstance(payload, dict) and "event" in payload:
|
||||
self._route_protocol_event(
|
||||
cast("MessagesData", payload), run_id=run_id, node=node
|
||||
)
|
||||
elif isinstance(payload, BaseMessage) and not isinstance(
|
||||
payload, AIMessageChunk
|
||||
):
|
||||
self._route_whole_message(payload, node=node)
|
||||
# Legacy AIMessageChunk tuples (from on_llm_new_token) are ignored;
|
||||
# v1 streaming callers must switch to stream_v2() to populate this
|
||||
# projection.
|
||||
|
||||
return True
|
||||
|
||||
def _route_protocol_event(
|
||||
self,
|
||||
event: MessagesData,
|
||||
*,
|
||||
run_id: str,
|
||||
node: str | None,
|
||||
) -> None:
|
||||
event_type = event.get("event")
|
||||
if event_type == "message-start":
|
||||
message_id = event.get("message_id")
|
||||
stream = self._make_stream(
|
||||
namespace=[],
|
||||
node=node,
|
||||
message_id=str(message_id) if message_id is not None else None,
|
||||
)
|
||||
self._by_run[run_id] = stream
|
||||
self._log.push(stream)
|
||||
stream.dispatch(event)
|
||||
elif run_id in self._by_run:
|
||||
stream = self._by_run[run_id]
|
||||
stream.dispatch(event)
|
||||
if event_type == "message-finish":
|
||||
del self._by_run[run_id]
|
||||
|
||||
def _route_whole_message(self, message: BaseMessage, *, node: str | None) -> None:
|
||||
stream = self._make_stream(namespace=[], node=node, message_id=message.id)
|
||||
for evt in message_to_events(message, message_id=message.id):
|
||||
stream.dispatch(evt)
|
||||
self._log.push(stream)
|
||||
|
||||
def finalize(self) -> None:
|
||||
"""Clear any routing state — streams close themselves via `message-finish`."""
|
||||
self._by_run.clear()
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Propagate run error to any streams still open when the graph fails."""
|
||||
for stream in list(self._by_run.values()):
|
||||
stream.fail(err)
|
||||
self._by_run.clear()
|
||||
|
||||
|
||||
SubgraphStatus = Literal["started", "completed", "failed", "interrupted"]
|
||||
|
||||
|
||||
def _parse_ns_segment(segment: str) -> tuple[str, str | None]:
|
||||
"""Split a namespace segment into `(graph_name, trigger_call_id)`.
|
||||
|
||||
Segments are formatted `node_name:task_id` by `prepare_next_tasks`.
|
||||
Returns `(segment, None)` if no `:` is present.
|
||||
"""
|
||||
name, sep, task_id = segment.partition(":")
|
||||
return name, task_id if sep else None
|
||||
|
||||
|
||||
class LifecyclePayload(TypedDict, total=False):
|
||||
"""Payload of a lifecycle event surfaced on the `lifecycle` channel.
|
||||
|
||||
Auto-forwarded as `lifecycle` protocol events (no `custom:` prefix
|
||||
because `LifecycleTransformer` is a native transformer) so remote
|
||||
SDK clients receive the same data in-process consumers see via
|
||||
`run.lifecycle`.
|
||||
"""
|
||||
|
||||
event: SubgraphStatus
|
||||
namespace: list[str]
|
||||
graph_name: NotRequired[str]
|
||||
trigger_call_id: NotRequired[str]
|
||||
error: NotRequired[str]
|
||||
|
||||
|
||||
class _TasksLifecycleBase(StreamTransformer):
|
||||
"""Shared bookkeeping for `tasks`-event-driven lifecycle inference.
|
||||
|
||||
Both `LifecycleTransformer` (wire-serializable channel) and
|
||||
`SubgraphTransformer` (in-process navigation handles) discover
|
||||
subgraphs by watching the same `tasks` stream — `started` on the
|
||||
first event at a tracked namespace, terminal status when the
|
||||
parent's `TaskResultPayload` arrives. Centralizing the dispatch
|
||||
+ open-set bookkeeping here keeps the inference rules from
|
||||
drifting between the two surfaces.
|
||||
|
||||
Subclasses provide three template-method hooks:
|
||||
|
||||
- `_should_track(ns)` — scope filter (e.g. multi-depth vs
|
||||
direct-children-only).
|
||||
- `_on_started(ns, graph_name, trigger_call_id)` — first sighting
|
||||
action (push payload / build handle / etc.). Called once per
|
||||
discovered namespace.
|
||||
- `_on_terminal(ns, status, error)` — terminal action (push
|
||||
terminal payload / mark handle status). Called once per
|
||||
tracked namespace at result time, or via `finalize` / `fail`
|
||||
sweeps if no parent result arrived.
|
||||
|
||||
Tasks events are suppressed from the main event log (`process`
|
||||
returns False) — they're folded into whichever projection the
|
||||
subclass populates; consumers iterating the raw protocol stream
|
||||
see the higher-level view.
|
||||
"""
|
||||
|
||||
required_stream_modes = ("tasks",)
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._seen: set[tuple[str, ...]] = set()
|
||||
# Maps tracked namespace -> task_id of the parent task whose
|
||||
# `TaskResultPayload` will close it.
|
||||
self._open: dict[tuple[str, ...], str] = {}
|
||||
|
||||
# --- Template-method hooks (subclass overrides) ---
|
||||
|
||||
def _should_track(self, ns: tuple[str, ...]) -> bool:
|
||||
"""Scope filter — return True iff `ns` is in this transformer's region."""
|
||||
raise NotImplementedError
|
||||
|
||||
def _on_started(
|
||||
self,
|
||||
ns: tuple[str, ...],
|
||||
graph_name: str | None,
|
||||
trigger_call_id: str | None,
|
||||
) -> None:
|
||||
"""Fired once per discovered namespace (first observed task event)."""
|
||||
raise NotImplementedError
|
||||
|
||||
def _on_terminal(
|
||||
self,
|
||||
ns: tuple[str, ...],
|
||||
status: SubgraphStatus,
|
||||
error: str | None,
|
||||
) -> None:
|
||||
"""Fired once per tracked namespace when its parent's result arrives,
|
||||
or via finalize/fail safety-net sweeps.
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
# --- Dispatch + bookkeeping (shared) ---
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
if event["method"] != "tasks":
|
||||
return True
|
||||
ns = tuple(event["params"]["namespace"])
|
||||
data = event["params"]["data"]
|
||||
if "result" in data:
|
||||
self._handle_task_result(ns, data)
|
||||
else:
|
||||
self._handle_task_start(ns)
|
||||
# Tasks events are folded into the synthesized projections;
|
||||
# suppress from the main event log so iterators don't double-see
|
||||
# the same information in two shapes.
|
||||
return False
|
||||
|
||||
def _handle_task_start(self, ns: tuple[str, ...]) -> None:
|
||||
if not self._should_track(ns) or ns in self._seen:
|
||||
return
|
||||
self._seen.add(ns)
|
||||
graph_name, trigger_call_id = _parse_ns_segment(ns[-1])
|
||||
self._on_started(ns, graph_name or None, trigger_call_id)
|
||||
if trigger_call_id is not None:
|
||||
self._open[ns] = trigger_call_id
|
||||
|
||||
def _pop_terminal_transitions(
|
||||
self, ns: tuple[str, ...], data: dict[str, Any]
|
||||
) -> list[tuple[tuple[str, ...], SubgraphStatus, str | None]]:
|
||||
"""Return and remove tracked children closed by this task result."""
|
||||
result_id = data.get("id")
|
||||
if not result_id:
|
||||
return []
|
||||
transitions: list[tuple[tuple[str, ...], SubgraphStatus, str | None]] = []
|
||||
for child_ns, parent_task_id in list(self._open.items()):
|
||||
if child_ns[:-1] != ns or parent_task_id != result_id:
|
||||
continue
|
||||
status, error = _terminal_from_result(data)
|
||||
transitions.append((child_ns, status, error))
|
||||
del self._open[child_ns]
|
||||
return transitions
|
||||
|
||||
def _handle_task_result(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
|
||||
for child_ns, status, error in self._pop_terminal_transitions(ns, data):
|
||||
self._on_terminal(child_ns, status, error)
|
||||
|
||||
def finalize(self) -> None:
|
||||
"""Emit `completed` for any tracked namespace still open at run end."""
|
||||
for ns in list(self._open):
|
||||
self._on_terminal(ns, "completed", None)
|
||||
self._open.clear()
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Emit `failed` / `interrupted` for any tracked namespace still open."""
|
||||
is_interrupt = isinstance(err, GraphInterrupt)
|
||||
status: SubgraphStatus = "interrupted" if is_interrupt else "failed"
|
||||
error_str = None if is_interrupt else str(err)
|
||||
for ns in list(self._open):
|
||||
self._on_terminal(ns, status, error_str)
|
||||
self._open.clear()
|
||||
|
||||
|
||||
def _status_from_exception(err: BaseException) -> tuple[SubgraphStatus, str | None]:
|
||||
"""Map a run exception to a subgraph terminal status and error string."""
|
||||
if isinstance(err, GraphInterrupt):
|
||||
return "interrupted", None
|
||||
return "failed", str(err)
|
||||
|
||||
|
||||
def _terminal_from_result(
|
||||
payload: dict[str, Any],
|
||||
) -> tuple[SubgraphStatus, str | None]:
|
||||
"""Map a `TaskResultPayload` to a `(status, error)` pair.
|
||||
|
||||
Order matters: a result with both `error` and `interrupts` prefers
|
||||
the interrupt classification, since `GraphInterrupt` manifests as
|
||||
a populated `interrupts` list, not as `error`.
|
||||
"""
|
||||
if payload.get("interrupts"):
|
||||
return "interrupted", None
|
||||
error = payload.get("error")
|
||||
if error:
|
||||
return "failed", str(error)
|
||||
return "completed", None
|
||||
|
||||
|
||||
class LifecycleTransformer(_TasksLifecycleBase):
|
||||
"""Surface subgraph lifecycle as `lifecycle` protocol events.
|
||||
|
||||
Pushes `LifecyclePayload` to a `StreamChannel` named `lifecycle`.
|
||||
The channel is auto-forwarded by the mux so payloads land in the
|
||||
main event log under `method = "lifecycle"` (native transformer —
|
||||
no `custom:` prefix) — visible to remote SDK clients over the
|
||||
wire and to in-process consumers via `run.lifecycle`.
|
||||
|
||||
Tracks subgraphs at every depth strictly below the transformer's
|
||||
scope, so a graph → subgraph → subgraph chain produces lifecycle
|
||||
events for both nested levels in a flat stream.
|
||||
|
||||
Native transformer — projection key `lifecycle` is exposed as
|
||||
`run.lifecycle`.
|
||||
"""
|
||||
|
||||
_native = True
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._channel: StreamChannel[LifecyclePayload] = StreamChannel("lifecycle")
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"lifecycle": self._channel}
|
||||
|
||||
def _should_track(self, ns: tuple[str, ...]) -> bool:
|
||||
depth = len(self.scope)
|
||||
return len(ns) > depth and ns[:depth] == self.scope
|
||||
|
||||
def _on_started(
|
||||
self,
|
||||
ns: tuple[str, ...],
|
||||
graph_name: str | None,
|
||||
trigger_call_id: str | None,
|
||||
) -> None:
|
||||
if trigger_call_id is None:
|
||||
# Without a task id we can't correlate a parent-result
|
||||
# event back to this namespace — skip the started payload
|
||||
# and rely on finalize/fail to close.
|
||||
return
|
||||
payload: LifecyclePayload = {"event": "started", "namespace": list(ns)}
|
||||
if graph_name:
|
||||
payload["graph_name"] = graph_name
|
||||
payload["trigger_call_id"] = trigger_call_id
|
||||
self._channel.push(payload)
|
||||
|
||||
def _on_terminal(
|
||||
self,
|
||||
ns: tuple[str, ...],
|
||||
status: SubgraphStatus,
|
||||
error: str | None,
|
||||
) -> None:
|
||||
payload: LifecyclePayload = {"event": status, "namespace": list(ns)}
|
||||
if error is not None:
|
||||
payload["error"] = error
|
||||
self._channel.push(payload)
|
||||
|
||||
|
||||
class SubgraphTransformer(_TasksLifecycleBase):
|
||||
"""Discover subgraph invocations as in-process navigation handles.
|
||||
|
||||
Per discovered direct-child subgraph, builds a `SubgraphRunStream`
|
||||
(or `AsyncSubgraphRunStream`) wrapping a child mini-mux scoped to
|
||||
the subgraph's namespace. Consumers iterate `run.subgraphs` to
|
||||
receive handles, then drill into `handle.values` / `handle.messages`
|
||||
/ `handle.subgraphs` (recursive grandchildren) / `handle.lifecycle`.
|
||||
|
||||
Each mini-mux owns its own scope and uses its own
|
||||
`SubgraphTransformer` to discover its direct children, so
|
||||
grandchildren live on the child handle — never on the root's
|
||||
`subgraphs` log. Forwarding events into the matching child mini-mux
|
||||
is what keeps the child's projections populated.
|
||||
|
||||
Native transformer — `subgraphs` is exposed as `run.subgraphs`.
|
||||
"""
|
||||
|
||||
_native = True
|
||||
supports_sync = True
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._log: StreamChannel[SubgraphRunStream | AsyncSubgraphRunStream] = (
|
||||
StreamChannel()
|
||||
)
|
||||
self._handles: dict[
|
||||
tuple[str, ...], SubgraphRunStream | AsyncSubgraphRunStream
|
||||
] = {}
|
||||
self._mux: StreamMux | None = None
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"subgraphs": self._log}
|
||||
|
||||
def _on_register(self, mux: Any) -> None:
|
||||
self._mux = mux
|
||||
|
||||
def _should_track(self, ns: tuple[str, ...]) -> bool:
|
||||
# Direct children only — grandchildren are picked up by the
|
||||
# child mini-mux's own SubgraphTransformer.
|
||||
depth = len(self.scope)
|
||||
return len(ns) == depth + 1 and ns[:depth] == self.scope
|
||||
|
||||
def _on_started(
|
||||
self,
|
||||
ns: tuple[str, ...],
|
||||
graph_name: str | None,
|
||||
trigger_call_id: str | None,
|
||||
) -> None:
|
||||
if self._mux is None:
|
||||
return
|
||||
try:
|
||||
child_mux = self._mux._make_child(ns)
|
||||
except RuntimeError:
|
||||
# Mux wasn't built from factories — no mini-mux navigation
|
||||
# available. Skip; LifecycleTransformer still tracks the
|
||||
# subgraph via the flat event stream.
|
||||
return
|
||||
values_t = child_mux.transformer_by_key("values")
|
||||
if not isinstance(values_t, ValuesTransformer):
|
||||
return
|
||||
handle_cls = AsyncSubgraphRunStream if child_mux.is_async else SubgraphRunStream
|
||||
handle = handle_cls(
|
||||
mux=child_mux,
|
||||
values_transformer=values_t,
|
||||
path=ns,
|
||||
graph_name=graph_name,
|
||||
trigger_call_id=trigger_call_id,
|
||||
)
|
||||
self._handles[ns] = handle
|
||||
self._log.push(handle)
|
||||
|
||||
def _on_terminal(
|
||||
self,
|
||||
ns: tuple[str, ...],
|
||||
status: SubgraphStatus,
|
||||
error: str | None,
|
||||
) -> None:
|
||||
handle = self._handles.get(ns)
|
||||
if handle is None or not self._mark_terminal(handle, status, error):
|
||||
return
|
||||
self._close_or_fail_handle(handle, status, error)
|
||||
|
||||
async def _aon_terminal(
|
||||
self,
|
||||
ns: tuple[str, ...],
|
||||
status: SubgraphStatus,
|
||||
error: str | None,
|
||||
) -> None:
|
||||
handle = self._handles.get(ns)
|
||||
if handle is None or not self._mark_terminal(handle, status, error):
|
||||
return
|
||||
await self._aclose_or_fail_handle(handle, status, error)
|
||||
|
||||
def _mark_terminal(
|
||||
self,
|
||||
handle: SubgraphRunStream | AsyncSubgraphRunStream,
|
||||
status: SubgraphStatus,
|
||||
error: str | None,
|
||||
) -> bool:
|
||||
"""Mark a handle terminal once. Returns True on first transition."""
|
||||
if handle._seen_terminal:
|
||||
return False
|
||||
handle.status = status
|
||||
if error is not None and handle.error is None:
|
||||
handle.error = error
|
||||
handle._seen_terminal = True
|
||||
return True
|
||||
|
||||
def _close_or_fail_handle(
|
||||
self,
|
||||
handle: SubgraphRunStream | AsyncSubgraphRunStream,
|
||||
status: SubgraphStatus,
|
||||
error: str | None,
|
||||
) -> None:
|
||||
if handle._mux is None or handle._mux._events._closed:
|
||||
return
|
||||
if status == "failed":
|
||||
handle._mux.fail(RuntimeError(error or "Subgraph failed"))
|
||||
else:
|
||||
handle._mux.close()
|
||||
|
||||
async def _aclose_or_fail_handle(
|
||||
self,
|
||||
handle: SubgraphRunStream | AsyncSubgraphRunStream,
|
||||
status: SubgraphStatus,
|
||||
error: str | None,
|
||||
) -> None:
|
||||
if handle._mux is None or handle._mux._events._closed:
|
||||
return
|
||||
if status == "failed":
|
||||
await handle._mux.afail(RuntimeError(error or "Subgraph failed"))
|
||||
else:
|
||||
await handle._mux.aclose()
|
||||
|
||||
def _child_mux_for_event(self, event: ProtocolEvent) -> StreamMux | None:
|
||||
ns = tuple(event["params"]["namespace"])
|
||||
depth = len(self.scope)
|
||||
if len(ns) < depth + 1:
|
||||
return None
|
||||
handle = self._handles.get(ns[: depth + 1])
|
||||
if handle is None or handle._mux is None or handle._mux._events._closed:
|
||||
return None
|
||||
return handle._mux
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
# Discover / update terminal status before forwarding so a
|
||||
# `started` handle exists by the time the child mini-mux sees
|
||||
# its own first event.
|
||||
keep = super().process(event)
|
||||
child_mux = self._child_mux_for_event(event)
|
||||
if child_mux is not None:
|
||||
child_mux.push(event)
|
||||
return keep
|
||||
|
||||
async def aprocess(self, event: ProtocolEvent) -> bool:
|
||||
# Async counterpart to `process`: repeat the tasks bookkeeping
|
||||
# here instead of delegating to `process`, so child mini-muxes
|
||||
# receive events through their async lane.
|
||||
if event["method"] == "tasks":
|
||||
ns = tuple(event["params"]["namespace"])
|
||||
data = event["params"]["data"]
|
||||
if "result" in data:
|
||||
for child_ns, status, error in self._pop_terminal_transitions(ns, data):
|
||||
await self._aon_terminal(child_ns, status, error)
|
||||
else:
|
||||
self._handle_task_start(ns)
|
||||
keep = False
|
||||
else:
|
||||
keep = True
|
||||
child_mux = self._child_mux_for_event(event)
|
||||
if child_mux is not None:
|
||||
await child_mux.apush(event)
|
||||
return keep
|
||||
|
||||
def _complete_open_handles(self) -> BaseException | None:
|
||||
first_error: BaseException | None = None
|
||||
for ns in list(self._open):
|
||||
try:
|
||||
self._on_terminal(ns, "completed", None)
|
||||
except BaseException as e:
|
||||
if first_error is None:
|
||||
first_error = e
|
||||
self._open.clear()
|
||||
for handle in self._handles.values():
|
||||
if self._mark_terminal(handle, "completed", None):
|
||||
try:
|
||||
self._close_or_fail_handle(handle, "completed", None)
|
||||
except BaseException as e:
|
||||
if first_error is None:
|
||||
first_error = e
|
||||
return first_error
|
||||
|
||||
async def _acomplete_open_handles(self) -> BaseException | None:
|
||||
first_error: BaseException | None = None
|
||||
for ns in list(self._open):
|
||||
try:
|
||||
await self._aon_terminal(ns, "completed", None)
|
||||
except BaseException as e:
|
||||
if first_error is None:
|
||||
first_error = e
|
||||
self._open.clear()
|
||||
for handle in self._handles.values():
|
||||
if self._mark_terminal(handle, "completed", None):
|
||||
try:
|
||||
await self._aclose_or_fail_handle(handle, "completed", None)
|
||||
except BaseException as e:
|
||||
if first_error is None:
|
||||
first_error = e
|
||||
return first_error
|
||||
|
||||
def finalize(self) -> None:
|
||||
first_error = self._complete_open_handles()
|
||||
if first_error is not None:
|
||||
raise first_error
|
||||
|
||||
async def afinalize(self) -> None:
|
||||
first_error = await self._acomplete_open_handles()
|
||||
if first_error is not None:
|
||||
raise first_error
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
status, error_str = _status_from_exception(err)
|
||||
self._open.clear()
|
||||
for handle in self._handles.values():
|
||||
self._mark_terminal(handle, status, error_str)
|
||||
if handle._mux is not None and not handle._mux._events._closed:
|
||||
try:
|
||||
handle._mux.fail(err)
|
||||
except Exception:
|
||||
_logger.warning(
|
||||
"Error failing subgraph mini-mux at %s; "
|
||||
"subscribers may not see the terminal error.",
|
||||
handle.path,
|
||||
exc_info=True,
|
||||
)
|
||||
|
||||
async def afail(self, err: BaseException) -> None:
|
||||
status, error_str = _status_from_exception(err)
|
||||
self._open.clear()
|
||||
for handle in self._handles.values():
|
||||
self._mark_terminal(handle, status, error_str)
|
||||
if handle._mux is not None and not handle._mux._events._closed:
|
||||
try:
|
||||
await handle._mux.afail(err)
|
||||
except Exception:
|
||||
_logger.warning(
|
||||
"Error failing subgraph mini-mux at %s; "
|
||||
"subscribers may not see the terminal error.",
|
||||
handle.path,
|
||||
exc_info=True,
|
||||
)
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph"
|
||||
version = "1.1.10"
|
||||
version = "1.1.4"
|
||||
description = "Building stateful, multi-actor applications with LLMs"
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
@@ -24,10 +24,10 @@ classifiers = [
|
||||
'Programming Language :: Python :: 3.13',
|
||||
]
|
||||
dependencies = [
|
||||
"langchain-core>=1.3.2,<2",
|
||||
"langchain-core>=0.1",
|
||||
"langgraph-checkpoint>=2.1.0,<5.0.0",
|
||||
"langgraph-sdk>=0.3.0,<0.4.0",
|
||||
"langgraph-prebuilt>=1.0.12,<1.1.0",
|
||||
"langgraph-prebuilt>=1.0.8,<1.1.0",
|
||||
"xxhash>=3.5.0",
|
||||
"pydantic>=2.7.4",
|
||||
]
|
||||
@@ -81,7 +81,6 @@ dev = [
|
||||
|
||||
|
||||
[tool.uv.sources]
|
||||
langchain-core = { git = "https://github.com/langchain-ai/langchain", branch = "cb/chat-model-updates", subdirectory = "libs/core" }
|
||||
langgraph-prebuilt = { path = "../prebuilt", editable = true }
|
||||
langgraph-checkpoint = { path = "../checkpoint", editable = true }
|
||||
langgraph-checkpoint-sqlite = { path = "../checkpoint-sqlite", editable = true }
|
||||
|
||||
@@ -1,344 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
from typing import Any
|
||||
|
||||
import pytest
|
||||
from langchain_core.callbacks.base import BaseCallbackHandler
|
||||
from langchain_core.callbacks.manager import CallbackManager
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.callbacks import (
|
||||
GraphCallbackHandler,
|
||||
GraphInterruptEvent,
|
||||
GraphResumeEvent,
|
||||
)
|
||||
from langgraph.graph import START, StateGraph
|
||||
from langgraph.types import Command, Interrupt, interrupt
|
||||
|
||||
NEEDS_CONTEXTVARS = pytest.mark.skipif(
|
||||
sys.version_info < (3, 11),
|
||||
reason="Python 3.11+ is required for async contextvars support",
|
||||
)
|
||||
|
||||
|
||||
class _GraphEventHandler(GraphCallbackHandler):
|
||||
def __init__(self) -> None:
|
||||
self.interrupt_events: list[GraphInterruptEvent] = []
|
||||
self.resume_events: list[GraphResumeEvent] = []
|
||||
|
||||
def on_interrupt(self, event: GraphInterruptEvent) -> Any:
|
||||
self.interrupt_events.append(event)
|
||||
|
||||
def on_resume(self, event: GraphResumeEvent) -> Any:
|
||||
self.resume_events.append(event)
|
||||
|
||||
|
||||
class _LangChainCustomEventHandler(BaseCallbackHandler):
|
||||
run_inline = True
|
||||
|
||||
def __init__(self) -> None:
|
||||
self.events: list[str] = []
|
||||
|
||||
def on_custom_event(self, name: str, data: Any, **kwargs: Any) -> Any:
|
||||
self.events.append(name)
|
||||
|
||||
|
||||
class _RaisingGraphEventHandler(GraphCallbackHandler):
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
raise_on_interrupt: bool = False,
|
||||
raise_on_resume: bool = False,
|
||||
raise_error: bool = False,
|
||||
) -> None:
|
||||
self.raise_on_interrupt = raise_on_interrupt
|
||||
self.raise_on_resume = raise_on_resume
|
||||
self.raise_error = raise_error
|
||||
|
||||
def on_interrupt(self, event: GraphInterruptEvent) -> Any:
|
||||
if self.raise_on_interrupt:
|
||||
raise ValueError("boom-interrupt")
|
||||
|
||||
def on_resume(self, event: GraphResumeEvent) -> Any:
|
||||
if self.raise_on_resume:
|
||||
raise ValueError("boom-resume")
|
||||
|
||||
|
||||
class _AsyncRaisingGraphEventHandler(GraphCallbackHandler):
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
raise_on_interrupt: bool = False,
|
||||
raise_on_resume: bool = False,
|
||||
raise_error: bool = False,
|
||||
) -> None:
|
||||
self.raise_on_interrupt = raise_on_interrupt
|
||||
self.raise_on_resume = raise_on_resume
|
||||
self.raise_error = raise_error
|
||||
|
||||
async def on_interrupt(self, event: GraphInterruptEvent) -> Any:
|
||||
if self.raise_on_interrupt:
|
||||
raise ValueError("boom-interrupt")
|
||||
|
||||
async def on_resume(self, event: GraphResumeEvent) -> Any:
|
||||
if self.raise_on_resume:
|
||||
raise ValueError("boom-resume")
|
||||
|
||||
|
||||
class _State(TypedDict):
|
||||
answer: str | None
|
||||
|
||||
|
||||
def _build_interrupt_graph() -> Any:
|
||||
def ask(state: _State) -> _State:
|
||||
answer = interrupt("Provide value")
|
||||
return {"answer": answer}
|
||||
|
||||
builder = StateGraph(_State)
|
||||
builder.add_node("ask", ask)
|
||||
builder.add_edge(START, "ask")
|
||||
return builder.compile(checkpointer=InMemorySaver())
|
||||
|
||||
|
||||
def test_graph_callbacks_interrupt_and_resume_sync() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
handler = _GraphEventHandler()
|
||||
langchain_handler = _LangChainCustomEventHandler()
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-sync"},
|
||||
"callbacks": [langchain_handler, handler],
|
||||
}
|
||||
|
||||
first = graph.invoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
|
||||
assert len(handler.interrupt_events) == 1
|
||||
assert handler.interrupt_events[0].interrupts
|
||||
assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
|
||||
assert handler.interrupt_events[0].checkpoint_ns == ()
|
||||
assert langchain_handler.events == []
|
||||
|
||||
handler.resume_events.clear()
|
||||
resumed = graph.invoke(Command(resume="done"), config)
|
||||
assert resumed == {"answer": "done"}
|
||||
|
||||
assert len(handler.resume_events) == 1
|
||||
assert handler.resume_events[0].checkpoint_ns == ()
|
||||
assert langchain_handler.events == []
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_graph_callbacks_interrupt_and_resume_async() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
handler = _GraphEventHandler()
|
||||
langchain_handler = _LangChainCustomEventHandler()
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-async"},
|
||||
"callbacks": [langchain_handler, handler],
|
||||
}
|
||||
|
||||
first = await graph.ainvoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
|
||||
assert len(handler.interrupt_events) == 1
|
||||
assert handler.interrupt_events[0].interrupts
|
||||
assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
|
||||
assert handler.interrupt_events[0].checkpoint_ns == ()
|
||||
assert langchain_handler.events == []
|
||||
|
||||
handler.resume_events.clear()
|
||||
resumed = await graph.ainvoke(Command(resume="done"), config)
|
||||
assert resumed == {"answer": "done"}
|
||||
|
||||
assert len(handler.resume_events) == 1
|
||||
assert handler.resume_events[0].checkpoint_ns == ()
|
||||
assert langchain_handler.events == []
|
||||
|
||||
|
||||
def test_graph_callbacks_continue_when_interrupt_handler_raises_sync() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
raising_handler = _RaisingGraphEventHandler(raise_on_interrupt=True)
|
||||
recording_handler = _GraphEventHandler()
|
||||
|
||||
first = graph.invoke(
|
||||
{"answer": None},
|
||||
{
|
||||
"configurable": {"thread_id": "graph-callback-sync-raises"},
|
||||
"callbacks": [raising_handler, recording_handler],
|
||||
},
|
||||
)
|
||||
|
||||
assert "__interrupt__" in first
|
||||
assert len(recording_handler.interrupt_events) == 1
|
||||
|
||||
|
||||
def test_graph_callbacks_continue_when_resume_handler_raises_sync() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
raising_handler = _RaisingGraphEventHandler(raise_on_resume=True)
|
||||
recording_handler = _GraphEventHandler()
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-sync-raises-resume"},
|
||||
"callbacks": [raising_handler, recording_handler],
|
||||
}
|
||||
|
||||
first = graph.invoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
|
||||
resumed = graph.invoke(Command(resume="done"), config)
|
||||
assert resumed == {"answer": "done"}
|
||||
assert len(recording_handler.resume_events) == 1
|
||||
|
||||
|
||||
def test_graph_callbacks_raise_error_propagates_sync() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
raising_handler = _RaisingGraphEventHandler(
|
||||
raise_on_interrupt=True,
|
||||
raise_error=True,
|
||||
)
|
||||
|
||||
with pytest.raises(ValueError, match="boom-interrupt"):
|
||||
graph.invoke(
|
||||
{"answer": None},
|
||||
{
|
||||
"configurable": {"thread_id": "graph-callback-sync-raise-error"},
|
||||
"callbacks": [raising_handler],
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_graph_callbacks_continue_when_handler_raises_async() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
raising_interrupt_handler = _AsyncRaisingGraphEventHandler(raise_on_interrupt=True)
|
||||
recording_handler = _GraphEventHandler()
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-async-raises-interrupt"},
|
||||
"callbacks": [raising_interrupt_handler, recording_handler],
|
||||
}
|
||||
|
||||
first = await graph.ainvoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
assert len(recording_handler.interrupt_events) == 1
|
||||
|
||||
graph = _build_interrupt_graph()
|
||||
raising_resume_handler = _AsyncRaisingGraphEventHandler(raise_on_resume=True)
|
||||
recording_handler = _GraphEventHandler()
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-async-raises-resume"},
|
||||
"callbacks": [raising_resume_handler, recording_handler],
|
||||
}
|
||||
|
||||
first = await graph.ainvoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
resumed = await graph.ainvoke(Command(resume="done"), config)
|
||||
assert resumed == {"answer": "done"}
|
||||
assert len(recording_handler.resume_events) == 1
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_graph_callbacks_raise_error_propagates_async() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
raising_handler = _AsyncRaisingGraphEventHandler(
|
||||
raise_on_interrupt=True,
|
||||
raise_error=True,
|
||||
)
|
||||
|
||||
with pytest.raises(ValueError, match="boom-interrupt"):
|
||||
await graph.ainvoke(
|
||||
{"answer": None},
|
||||
{
|
||||
"configurable": {"thread_id": "graph-callback-async-raise-error"},
|
||||
"callbacks": [raising_handler],
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
def test_graph_callbacks_accept_base_callback_manager() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
graph_handler = _GraphEventHandler()
|
||||
custom_handler = _LangChainCustomEventHandler()
|
||||
manager = CallbackManager.configure(inheritable_callbacks=[custom_handler])
|
||||
manager.add_handler(graph_handler)
|
||||
|
||||
first = graph.invoke(
|
||||
{"answer": None},
|
||||
{
|
||||
"configurable": {"thread_id": "graph-callback-base-manager"},
|
||||
"callbacks": manager,
|
||||
},
|
||||
)
|
||||
|
||||
assert "__interrupt__" in first
|
||||
assert len(graph_handler.interrupt_events) == 1
|
||||
|
||||
|
||||
def test_non_graph_handler_via_add_handler_does_not_crash() -> None:
|
||||
"""Non-GraphCallbackHandler added via add_handler should not raise.
|
||||
|
||||
Libraries like opentelemetry-instrumentation-langchain monkey-patch
|
||||
BaseCallbackManager.__init__ and inject handlers via add_handler().
|
||||
These handlers inherit from BaseCallbackHandler, not
|
||||
GraphCallbackHandler. They must be silently accepted — graph lifecycle
|
||||
events will simply not be dispatched to them.
|
||||
"""
|
||||
from langgraph.callbacks import _GraphCallbackManager
|
||||
|
||||
manager = _GraphCallbackManager()
|
||||
plain_handler = _LangChainCustomEventHandler()
|
||||
|
||||
manager.add_handler(plain_handler, inherit=True)
|
||||
assert plain_handler in manager.handlers
|
||||
|
||||
|
||||
def test_non_graph_handler_does_not_receive_lifecycle_events() -> None:
|
||||
"""Non-GraphCallbackHandler added alongside a GraphCallbackHandler
|
||||
should not interfere with lifecycle event dispatch."""
|
||||
graph = _build_interrupt_graph()
|
||||
graph_handler = _GraphEventHandler()
|
||||
plain_handler = _LangChainCustomEventHandler()
|
||||
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-mixed-handlers"},
|
||||
"callbacks": [plain_handler, graph_handler],
|
||||
}
|
||||
|
||||
first = graph.invoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
|
||||
assert len(graph_handler.interrupt_events) == 1
|
||||
assert plain_handler.events == []
|
||||
|
||||
resumed = graph.invoke(Command(resume="done"), config)
|
||||
assert resumed == {"answer": "done"}
|
||||
assert len(graph_handler.resume_events) == 1
|
||||
assert plain_handler.events == []
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_non_graph_handler_does_not_receive_lifecycle_events_async() -> None:
|
||||
"""Async variant: non-GraphCallbackHandler should not interfere."""
|
||||
graph = _build_interrupt_graph()
|
||||
graph_handler = _GraphEventHandler()
|
||||
plain_handler = _LangChainCustomEventHandler()
|
||||
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-mixed-handlers-async"},
|
||||
"callbacks": [plain_handler, graph_handler],
|
||||
}
|
||||
|
||||
first = await graph.ainvoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
|
||||
assert len(graph_handler.interrupt_events) == 1
|
||||
assert plain_handler.events == []
|
||||
|
||||
resumed = await graph.ainvoke(Command(resume="done"), config)
|
||||
assert resumed == {"answer": "done"}
|
||||
assert len(graph_handler.resume_events) == 1
|
||||
assert plain_handler.events == []
|
||||
@@ -1396,6 +1396,7 @@ 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",
|
||||
@@ -1458,6 +1459,7 @@ 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",
|
||||
@@ -1510,6 +1512,7 @@ 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",
|
||||
@@ -6881,6 +6884,7 @@ 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",
|
||||
@@ -6908,6 +6912,7 @@ 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",
|
||||
@@ -6944,6 +6949,7 @@ 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",
|
||||
|
||||
@@ -1147,6 +1147,7 @@ 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",
|
||||
@@ -1209,6 +1210,7 @@ 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",
|
||||
@@ -1261,6 +1263,7 @@ 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",
|
||||
@@ -3978,6 +3981,7 @@ 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",
|
||||
@@ -4005,6 +4009,7 @@ 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",
|
||||
@@ -4041,6 +4046,7 @@ 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",
|
||||
|
||||
@@ -615,11 +615,8 @@ def test_run_from_checkpoint_id_retains_previous_writes(
|
||||
)
|
||||
]
|
||||
|
||||
# +2: one fork checkpoint from time travel, one from the new execution
|
||||
assert len(new_history) == len(history) + 2
|
||||
# new_history[0] is the new execution result, new_history[1] is the fork
|
||||
assert new_history[1].metadata["source"] == "fork"
|
||||
for original, new in zip(history, new_history[2:]):
|
||||
assert len(new_history) == len(history) + 1
|
||||
for original, new in zip(history, new_history[1:]):
|
||||
assert original.values == new.values
|
||||
assert original.next == new.next
|
||||
assert original.metadata["step"] == new.metadata["step"]
|
||||
@@ -627,7 +624,7 @@ def test_run_from_checkpoint_id_retains_previous_writes(
|
||||
def _get_tasks(hist: list, start: int):
|
||||
return [h.tasks for h in hist[start:]]
|
||||
|
||||
assert _get_tasks(new_history, 2) == _get_tasks(history, 0)
|
||||
assert _get_tasks(new_history, 1) == _get_tasks(history, 0)
|
||||
|
||||
|
||||
def test_batch_two_processes_in_out() -> None:
|
||||
@@ -1332,22 +1329,20 @@ def test_imp_nested(
|
||||
}
|
||||
|
||||
thread1 = {"configurable": {"thread_id": "1"}}
|
||||
result = [*graph.stream([0, 1], thread1, durability=durability)]
|
||||
# nested tasks run concurrently so output order is non-deterministic
|
||||
assert sorted(result[:-1], key=lambda d: str(d)) == [
|
||||
{"mapper": "00"},
|
||||
{"mapper": "11"},
|
||||
assert [*graph.stream([0, 1], thread1, durability=durability)] == [
|
||||
{"submapper": "0"},
|
||||
{"mapper": "00"},
|
||||
{"submapper": "1"},
|
||||
{"mapper": "11"},
|
||||
{
|
||||
"__interrupt__": (
|
||||
Interrupt(
|
||||
value="question",
|
||||
id=AnyStr(),
|
||||
),
|
||||
)
|
||||
},
|
||||
]
|
||||
assert result[-1] == {
|
||||
"__interrupt__": (
|
||||
Interrupt(
|
||||
value="question",
|
||||
id=AnyStr(),
|
||||
),
|
||||
)
|
||||
}
|
||||
|
||||
assert graph.invoke(Command(resume="answer"), thread1, durability=durability) == [
|
||||
"00answera",
|
||||
@@ -6274,7 +6269,7 @@ def test_sync_streaming_with_functional_api() -> None:
|
||||
@task()
|
||||
def slow() -> dict:
|
||||
time.sleep(time_delay) # Simulate a delay of 10 ms
|
||||
return {"tic": time.monotonic()}
|
||||
return {"tic": time.time()}
|
||||
|
||||
@entrypoint()
|
||||
def graph(inputs: dict) -> list:
|
||||
@@ -6287,7 +6282,7 @@ def test_sync_streaming_with_functional_api() -> None:
|
||||
for chunk in graph.stream({}):
|
||||
if "slow" not in chunk: # We'll just look at the updates from `slow`
|
||||
continue
|
||||
arrival_times.append(time.monotonic())
|
||||
arrival_times.append(time.time())
|
||||
|
||||
assert len(arrival_times) == 2
|
||||
delta = arrival_times[1] - arrival_times[0]
|
||||
@@ -6896,6 +6891,7 @@ 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",
|
||||
@@ -6905,60 +6901,6 @@ def test_tags_stream_mode_messages() -> None:
|
||||
]
|
||||
|
||||
|
||||
def test_configurable_propagates_to_stream_metadata() -> None:
|
||||
"""Regression: thread_id, run_id, assistant_id, graph_id,
|
||||
and langgraph_auth_user_id from configurable must appear
|
||||
in stream_mode='messages' metadata."""
|
||||
|
||||
def my_node(state):
|
||||
return {"messages": HumanMessage(content="hello")}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("my_node", my_node)
|
||||
.add_edge(START, "my_node")
|
||||
.compile()
|
||||
)
|
||||
|
||||
config = {
|
||||
"configurable": {
|
||||
"thread_id": "th-123",
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"user_id": "uid-1",
|
||||
"cron_id": "cron-1",
|
||||
"langgraph_auth_user_id": "user-1",
|
||||
# these should NOT be propagated into metadata
|
||||
"some_api_key": "secret",
|
||||
"custom_setting": {"nested": True},
|
||||
},
|
||||
}
|
||||
results = list(graph.stream({"messages": []}, config, stream_mode="messages"))
|
||||
assert len(results) == 1
|
||||
_, metadata = results[0]
|
||||
# propagated keys
|
||||
assert metadata["thread_id"] == "th-123"
|
||||
assert metadata["checkpoint_id"] == "ckpt-1"
|
||||
assert metadata["checkpoint_ns"] == "ns-1"
|
||||
assert metadata["task_id"] == "task-1"
|
||||
assert metadata["run_id"] == "run-456"
|
||||
assert metadata["assistant_id"] == "asst-789"
|
||||
assert metadata["graph_id"] == "graph-0"
|
||||
# These are only present in trace metadata by default as of langgraph 1.2
|
||||
# assert metadata["model"] == "gpt-4o"
|
||||
# assert metadata["user_id"] == "uid-1"
|
||||
# assert metadata["cron_id"] == "cron-1"
|
||||
# assert metadata["langgraph_auth_user_id"] == "user-1"
|
||||
# non-allowlisted keys must not appear
|
||||
assert "some_api_key" not in metadata
|
||||
assert "custom_setting" not in metadata
|
||||
|
||||
|
||||
def test_stream_mode_messages_command() -> None:
|
||||
from langchain_core.messages import HumanMessage
|
||||
|
||||
|
||||
@@ -20,7 +20,6 @@ from uuid import UUID
|
||||
|
||||
import pytest
|
||||
from langchain_core.language_models import GenericFakeChatModel
|
||||
from langchain_core.messages import HumanMessage
|
||||
from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnablePassthrough
|
||||
from langchain_core.utils.aiter import aclosing
|
||||
from langgraph.cache.base import BaseCache
|
||||
@@ -2086,11 +2085,8 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
|
||||
)
|
||||
]
|
||||
|
||||
# +2: one fork checkpoint from time travel, one from the new execution
|
||||
assert len(new_history) == len(history) + 2
|
||||
# new_history[0] is the new execution result, new_history[1] is the fork
|
||||
assert new_history[1].metadata["source"] == "fork"
|
||||
for original, new in zip(history, new_history[2:]):
|
||||
assert len(new_history) == len(history) + 1
|
||||
for original, new in zip(history, new_history[1:]):
|
||||
assert original.values == new.values
|
||||
assert original.next == new.next
|
||||
assert original.metadata["step"] == new.metadata["step"]
|
||||
@@ -2098,7 +2094,7 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
|
||||
def _get_tasks(hist: list, start: int):
|
||||
return [h.tasks for h in hist[start:]]
|
||||
|
||||
assert _get_tasks(new_history, 2) == _get_tasks(history, 0)
|
||||
assert _get_tasks(new_history, 1) == _get_tasks(history, 0)
|
||||
|
||||
|
||||
async def test_cond_edge_after_send() -> None:
|
||||
@@ -7545,6 +7541,7 @@ 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",
|
||||
@@ -7554,67 +7551,6 @@ async def test_tags_stream_mode_messages() -> None:
|
||||
]
|
||||
|
||||
|
||||
async def test_configurable_propagates_to_stream_metadata() -> None:
|
||||
"""Regression: thread_id, run_id, assistant_id, graph_id,
|
||||
and langgraph_auth_user_id from configurable must appear
|
||||
in stream_mode='messages' metadata."""
|
||||
|
||||
def my_node(state):
|
||||
return {"messages": HumanMessage(content="hello")}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("my_node", my_node)
|
||||
.add_edge(START, "my_node")
|
||||
.compile()
|
||||
)
|
||||
|
||||
config = {
|
||||
"configurable": {
|
||||
"thread_id": "th-123",
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"user_id": "uid-1",
|
||||
"cron_id": "cron-1",
|
||||
"langgraph_auth_user_id": "user-1",
|
||||
# these should NOT be propagated into metadata
|
||||
"some_api_key": "secret",
|
||||
"custom_setting": {"nested": True},
|
||||
},
|
||||
}
|
||||
results = [
|
||||
chunk
|
||||
async for chunk in graph.astream(
|
||||
{"messages": []}, config, stream_mode="messages"
|
||||
)
|
||||
]
|
||||
assert len(results) == 1
|
||||
_, metadata = results[0]
|
||||
# propagated keys
|
||||
assert metadata["thread_id"] == "th-123"
|
||||
assert metadata["checkpoint_id"] == "ckpt-1"
|
||||
assert metadata["checkpoint_ns"] == "ns-1"
|
||||
assert metadata["task_id"] == "task-1"
|
||||
assert metadata["run_id"] == "run-456"
|
||||
assert metadata["assistant_id"] == "asst-789"
|
||||
assert metadata["graph_id"] == "graph-0"
|
||||
|
||||
# These will only be traced as of langgraph 1.2 and not present by default in
|
||||
# metadata
|
||||
# assert metadata["model"] == "gpt-4o"
|
||||
# assert metadata["user_id"] == "uid-1"
|
||||
# assert metadata["cron_id"] == "cron-1"
|
||||
# assert metadata["langgraph_auth_user_id"] == "user-1"
|
||||
# non-allowlisted keys must not appear
|
||||
assert "some_api_key" not in metadata
|
||||
assert "custom_setting" not in metadata
|
||||
|
||||
|
||||
async def test_stream_mode_messages_command() -> None:
|
||||
from langchain_core.messages import HumanMessage
|
||||
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,27 +1,12 @@
|
||||
from collections import deque
|
||||
from unittest.mock import Mock, patch
|
||||
|
||||
import pytest
|
||||
from langgraph.checkpoint.memory import MemorySaver
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph._internal._constants import (
|
||||
CONF,
|
||||
CONFIG_KEY_CHECKPOINT_ID,
|
||||
CONFIG_KEY_CHECKPOINT_NS,
|
||||
CONFIG_KEY_RUNTIME,
|
||||
CONFIG_KEY_TASK_ID,
|
||||
CONFIG_KEY_THREAD_ID,
|
||||
)
|
||||
from langgraph.graph import START, StateGraph
|
||||
from langgraph.pregel._retry import (
|
||||
_checkpoint_ns_for_parent_command,
|
||||
_ensure_execution_info,
|
||||
_should_retry_on,
|
||||
run_with_retry,
|
||||
)
|
||||
from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
|
||||
from langgraph.types import PregelExecutableTask, RetryPolicy
|
||||
from langgraph.pregel._retry import _checkpoint_ns_for_parent_command, _should_retry_on
|
||||
from langgraph.runtime import Runtime
|
||||
from langgraph.types import RetryPolicy
|
||||
|
||||
|
||||
def test_should_retry_on_single_exception():
|
||||
@@ -408,162 +393,3 @@ def test_graph_with_max_attempts_exceeded():
|
||||
graph.invoke({"foo": ""})
|
||||
|
||||
mock_sleep.assert_called_with(0.01)
|
||||
|
||||
|
||||
def test_execution_info_identity_fields_populated_on_retry():
|
||||
"""Test that thread_id, task_id, run_id, etc. are populated in execution_info during retries."""
|
||||
|
||||
class State(TypedDict):
|
||||
foo: str
|
||||
|
||||
attempt_count = 0
|
||||
captured_infos: list[dict] = []
|
||||
|
||||
def failing_node(state: State, runtime: Runtime):
|
||||
nonlocal attempt_count
|
||||
attempt_count += 1
|
||||
info = runtime.execution_info
|
||||
captured_infos.append(
|
||||
{
|
||||
"thread_id": info.thread_id,
|
||||
"run_id": info.run_id,
|
||||
"node_attempt": info.node_attempt,
|
||||
"node_first_attempt_time": info.node_first_attempt_time,
|
||||
"checkpoint_ns": info.checkpoint_ns,
|
||||
}
|
||||
)
|
||||
if attempt_count < 2:
|
||||
raise ValueError("Intentional failure")
|
||||
return {"foo": "success"}
|
||||
|
||||
retry_policy = RetryPolicy(
|
||||
max_attempts=3,
|
||||
initial_interval=0.01,
|
||||
jitter=False,
|
||||
retry_on=ValueError,
|
||||
)
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("failing_node", failing_node, retry_policy=retry_policy)
|
||||
.add_edge(START, "failing_node")
|
||||
.compile(checkpointer=MemorySaver())
|
||||
)
|
||||
|
||||
with patch("time.sleep"):
|
||||
result = graph.invoke(
|
||||
{"foo": ""},
|
||||
config={"configurable": {"thread_id": "retry-thread"}},
|
||||
)
|
||||
|
||||
assert result["foo"] == "success"
|
||||
assert len(captured_infos) == 2
|
||||
|
||||
# Both attempts should have the same thread_id and first_attempt_time
|
||||
assert captured_infos[0]["thread_id"] == "retry-thread"
|
||||
assert captured_infos[1]["thread_id"] == "retry-thread"
|
||||
assert (
|
||||
captured_infos[0]["node_first_attempt_time"]
|
||||
== captured_infos[1]["node_first_attempt_time"]
|
||||
)
|
||||
|
||||
# node_attempt should increment
|
||||
assert captured_infos[0]["node_attempt"] == 1
|
||||
assert captured_infos[1]["node_attempt"] == 2
|
||||
|
||||
|
||||
def test_ensure_execution_info_noop_when_already_set():
|
||||
"""Test that _ensure_execution_info is a no-op when execution_info exists."""
|
||||
existing_info = ExecutionInfo(
|
||||
checkpoint_id="cp-1", checkpoint_ns="ns-1", task_id="task-1"
|
||||
)
|
||||
runtime = DEFAULT_RUNTIME.override(execution_info=existing_info)
|
||||
config = {CONF: {CONFIG_KEY_THREAD_ID: "thread-1"}}
|
||||
task = Mock(id="task-2")
|
||||
|
||||
result = _ensure_execution_info(runtime, config, task)
|
||||
assert result is runtime
|
||||
assert result.execution_info is existing_info
|
||||
|
||||
|
||||
def test_ensure_execution_info_creates_from_config():
|
||||
"""Test that _ensure_execution_info creates ExecutionInfo from config when missing."""
|
||||
runtime = DEFAULT_RUNTIME.override(execution_info=None)
|
||||
config = {
|
||||
"run_id": "run-123",
|
||||
CONF: {
|
||||
CONFIG_KEY_CHECKPOINT_ID: "cp-42",
|
||||
CONFIG_KEY_CHECKPOINT_NS: "ns-42",
|
||||
CONFIG_KEY_TASK_ID: "task-42",
|
||||
CONFIG_KEY_THREAD_ID: "thread-42",
|
||||
},
|
||||
}
|
||||
task = Mock(id="fallback-task-id")
|
||||
|
||||
result = _ensure_execution_info(runtime, config, task)
|
||||
assert result.execution_info is not None
|
||||
assert result.execution_info.checkpoint_id == "cp-42"
|
||||
assert result.execution_info.checkpoint_ns == "ns-42"
|
||||
assert result.execution_info.task_id == "task-42"
|
||||
assert result.execution_info.thread_id == "thread-42"
|
||||
assert result.execution_info.run_id == "run-123"
|
||||
|
||||
|
||||
def test_ensure_execution_info_falls_back_to_task_id():
|
||||
"""Test that _ensure_execution_info uses task.id when CONFIG_KEY_TASK_ID is missing."""
|
||||
runtime = DEFAULT_RUNTIME.override(execution_info=None)
|
||||
config = {CONF: {}}
|
||||
task = Mock(id="fallback-task-id")
|
||||
|
||||
result = _ensure_execution_info(runtime, config, task)
|
||||
assert result.execution_info.task_id == "fallback-task-id"
|
||||
assert result.execution_info.checkpoint_id == ""
|
||||
assert result.execution_info.checkpoint_ns == ""
|
||||
|
||||
|
||||
def test_run_with_retry_creates_execution_info_when_missing():
|
||||
"""Test that run_with_retry works when runtime has no execution_info (distributed runtime scenario)."""
|
||||
captured_infos: list[ExecutionInfo] = []
|
||||
|
||||
class FakeProc:
|
||||
def invoke(self, input, config):
|
||||
runtime = config[CONF][CONFIG_KEY_RUNTIME]
|
||||
captured_infos.append(runtime.execution_info)
|
||||
return input
|
||||
|
||||
runtime = DEFAULT_RUNTIME.override(execution_info=None)
|
||||
config = {
|
||||
"run_id": "run-abc",
|
||||
CONF: {
|
||||
CONFIG_KEY_RUNTIME: runtime,
|
||||
CONFIG_KEY_CHECKPOINT_ID: "cp-99",
|
||||
CONFIG_KEY_CHECKPOINT_NS: "__start__:task123",
|
||||
CONFIG_KEY_TASK_ID: "task123",
|
||||
CONFIG_KEY_THREAD_ID: "thread-xyz",
|
||||
},
|
||||
}
|
||||
|
||||
task = PregelExecutableTask(
|
||||
name="__start__",
|
||||
input={"messages": []},
|
||||
proc=FakeProc(),
|
||||
writes=deque(),
|
||||
config=config,
|
||||
triggers=["__start__"],
|
||||
retry_policy=[],
|
||||
cache_key=None,
|
||||
id="task123",
|
||||
path=("__pregel_pull", "__start__"),
|
||||
)
|
||||
|
||||
run_with_retry(task, retry_policy=None)
|
||||
|
||||
assert len(captured_infos) == 1
|
||||
info = captured_infos[0]
|
||||
assert info.checkpoint_id == "cp-99"
|
||||
assert info.checkpoint_ns == "__start__:task123"
|
||||
assert info.task_id == "task123"
|
||||
assert info.thread_id == "thread-xyz"
|
||||
assert info.run_id == "run-abc"
|
||||
assert info.node_attempt == 1
|
||||
assert info.node_first_attempt_time is not None
|
||||
|
||||
@@ -2,12 +2,11 @@ from dataclasses import dataclass
|
||||
from typing import Any
|
||||
|
||||
import pytest
|
||||
from langgraph.checkpoint.memory import MemorySaver
|
||||
from pydantic import BaseModel, ValidationError
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.graph import END, START, StateGraph
|
||||
from langgraph.runtime import ExecutionInfo, Runtime, ServerInfo, get_runtime
|
||||
from langgraph.runtime import Runtime, get_runtime
|
||||
|
||||
|
||||
def test_injected_runtime() -> None:
|
||||
@@ -390,262 +389,3 @@ def test_context_coercion_pydantic_validation_errors() -> None:
|
||||
compiled.invoke(
|
||||
{"message": "test"}, context={"api_key": "sk_test", "timeout": "not_an_int"}
|
||||
)
|
||||
|
||||
|
||||
# --- ExecutionInfo unit tests ---
|
||||
|
||||
|
||||
def test_execution_info_defaults_and_patch() -> None:
|
||||
info = ExecutionInfo(checkpoint_id="c1", checkpoint_ns="ns1", task_id="t1")
|
||||
assert info.checkpoint_id == "c1"
|
||||
assert info.checkpoint_ns == "ns1"
|
||||
assert info.task_id == "t1"
|
||||
assert info.thread_id is None
|
||||
assert info.run_id is None
|
||||
assert info.node_attempt == 1
|
||||
assert info.node_first_attempt_time is None
|
||||
|
||||
# patch returns new instance, original unchanged
|
||||
patched = info.patch(thread_id="th1", node_attempt=3, task_id="tk1")
|
||||
assert patched.thread_id == "th1"
|
||||
assert patched.node_attempt == 3
|
||||
assert patched.task_id == "tk1"
|
||||
assert info.node_attempt == 1
|
||||
assert info.task_id == "t1"
|
||||
|
||||
# frozen
|
||||
with pytest.raises(AttributeError):
|
||||
info.thread_id = "t2" # type: ignore[misc]
|
||||
|
||||
|
||||
# --- ServerInfo / Runtime unit tests ---
|
||||
|
||||
|
||||
def test_server_info_and_runtime_merge() -> None:
|
||||
si = ServerInfo(assistant_id="asst-1", graph_id="graph-1")
|
||||
assert si.assistant_id == "asst-1"
|
||||
assert si.user is None
|
||||
|
||||
# frozen
|
||||
with pytest.raises(AttributeError):
|
||||
si.assistant_id = "asst-2" # type: ignore[misc]
|
||||
|
||||
# runtime default is None
|
||||
assert Runtime().server_info is None
|
||||
|
||||
# merge preserves server_info from self when other has None
|
||||
r1 = Runtime(server_info=si)
|
||||
merged = r1.merge(Runtime())
|
||||
assert merged.server_info is si
|
||||
|
||||
# merge takes server_info from other when present
|
||||
si2 = ServerInfo(assistant_id="asst-2", graph_id="graph-2")
|
||||
merged2 = r1.merge(Runtime(server_info=si2))
|
||||
assert merged2.server_info is si2
|
||||
|
||||
|
||||
# --- Integration tests ---
|
||||
|
||||
|
||||
def _make_capture_graph(
|
||||
capture: dict[str, Any],
|
||||
*,
|
||||
checkpointer: Any = None,
|
||||
) -> Any:
|
||||
"""Helper: build a simple graph that captures runtime info."""
|
||||
|
||||
class State(TypedDict):
|
||||
message: str
|
||||
|
||||
def capture_node(state: State, runtime: Runtime) -> dict[str, Any]:
|
||||
capture["execution_info"] = runtime.execution_info
|
||||
capture["server_info"] = runtime.server_info
|
||||
return {"message": "done"}
|
||||
|
||||
graph = StateGraph(state_schema=State)
|
||||
graph.add_node("capture", capture_node)
|
||||
graph.add_edge(START, "capture")
|
||||
graph.add_edge("capture", END)
|
||||
return graph.compile(checkpointer=checkpointer)
|
||||
|
||||
|
||||
def test_execution_info_populated_in_graph() -> None:
|
||||
"""execution_info fields are populated when running with a checkpointer."""
|
||||
captured: dict[str, Any] = {}
|
||||
compiled = _make_capture_graph(captured, checkpointer=MemorySaver())
|
||||
compiled.invoke(
|
||||
{"message": "hi"},
|
||||
config={"configurable": {"thread_id": "t-123"}},
|
||||
)
|
||||
info = captured["execution_info"]
|
||||
assert info.thread_id == "t-123"
|
||||
assert info.task_id is not None
|
||||
assert info.checkpoint_id is not None
|
||||
assert info.checkpoint_ns is not None
|
||||
assert info.node_attempt == 1
|
||||
assert isinstance(info.node_first_attempt_time, float)
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_execution_info_populated_in_graph_async() -> None:
|
||||
"""execution_info fields are populated in async execution."""
|
||||
captured: dict[str, Any] = {}
|
||||
compiled = _make_capture_graph(captured, checkpointer=MemorySaver())
|
||||
await compiled.ainvoke(
|
||||
{"message": "hi"},
|
||||
config={"configurable": {"thread_id": "t-xyz"}},
|
||||
)
|
||||
info = captured["execution_info"]
|
||||
assert info.thread_id == "t-xyz"
|
||||
assert info.node_attempt == 1
|
||||
assert isinstance(info.node_first_attempt_time, float)
|
||||
|
||||
|
||||
def test_server_info_from_configurable() -> None:
|
||||
"""server_info is built from assistant_id/graph_id in config configurable."""
|
||||
captured: dict[str, Any] = {}
|
||||
compiled = _make_capture_graph(captured)
|
||||
compiled.invoke(
|
||||
{"message": "hi"},
|
||||
config={"configurable": {"assistant_id": "asst-abc", "graph_id": "my-graph"}},
|
||||
)
|
||||
si = captured["server_info"]
|
||||
assert si is not None
|
||||
assert si.assistant_id == "asst-abc"
|
||||
assert si.graph_id == "my-graph"
|
||||
assert si.user is None
|
||||
|
||||
|
||||
def test_server_info_none_without_configurable() -> None:
|
||||
"""server_info is None when no assistant_id/graph_id in configurable."""
|
||||
captured: dict[str, Any] = {}
|
||||
compiled = _make_capture_graph(captured)
|
||||
compiled.invoke({"message": "hi"})
|
||||
assert captured["server_info"] is None
|
||||
|
||||
|
||||
def test_server_info_user_from_auth_user() -> None:
|
||||
"""server_info.user is populated from configurable['langgraph_auth_user'].
|
||||
|
||||
Tests both a proper BaseUser protocol object and a starlette-style proxy
|
||||
that provides `permissions` via __getattr__ (which the Protocol isinstance
|
||||
check may not see).
|
||||
"""
|
||||
|
||||
class _ProxyUser:
|
||||
"""Mimics langgraph_api's ProxyUser: identity/display_name as properties,
|
||||
permissions via __getattr__."""
|
||||
|
||||
def __init__(self, data: dict[str, Any]) -> None:
|
||||
self._data = data
|
||||
|
||||
@property
|
||||
def identity(self) -> str:
|
||||
return self._data["identity"]
|
||||
|
||||
@property
|
||||
def display_name(self) -> str:
|
||||
return self._data.get("display_name", self.identity)
|
||||
|
||||
@property
|
||||
def is_authenticated(self) -> bool:
|
||||
return True
|
||||
|
||||
def __getattr__(self, name: str) -> Any:
|
||||
return self._data[name]
|
||||
|
||||
def __getitem__(self, key: str) -> Any:
|
||||
return self._data[key]
|
||||
|
||||
def __contains__(self, key: str) -> bool:
|
||||
return key in self._data
|
||||
|
||||
def __iter__(self) -> Any:
|
||||
return iter(self._data)
|
||||
|
||||
proxy = _ProxyUser(
|
||||
{
|
||||
"identity": "proxy-user",
|
||||
"display_name": "Proxy User",
|
||||
"is_authenticated": True,
|
||||
"permissions": ["read"],
|
||||
}
|
||||
)
|
||||
assert not isinstance(proxy, dict)
|
||||
assert hasattr(proxy, "identity")
|
||||
|
||||
captured: dict[str, Any] = {}
|
||||
compiled = _make_capture_graph(captured)
|
||||
compiled.invoke(
|
||||
{"message": "hi"},
|
||||
config={
|
||||
"configurable": {
|
||||
"langgraph_auth_user": proxy,
|
||||
"assistant_id": "asst-proxy",
|
||||
"graph_id": "graph-proxy",
|
||||
},
|
||||
},
|
||||
)
|
||||
si = captured["server_info"]
|
||||
assert si is not None
|
||||
assert si.assistant_id == "asst-proxy"
|
||||
assert si.user is not None
|
||||
assert si.user.identity == "proxy-user"
|
||||
assert si.user["display_name"] == "Proxy User"
|
||||
|
||||
|
||||
def test_execution_info_inherited_by_subgraph() -> None:
|
||||
"""execution_info is correctly populated for subgraph nodes, including namespace."""
|
||||
captured_main: dict[str, Any] = {}
|
||||
captured_sub: dict[str, Any] = {}
|
||||
|
||||
class State(TypedDict, total=False):
|
||||
message: str
|
||||
|
||||
def subgraph_node(state: State, runtime: Runtime) -> dict[str, str]:
|
||||
captured_sub["execution_info"] = runtime.execution_info
|
||||
return {"message": "from_sub"}
|
||||
|
||||
subgraph_builder = StateGraph(State)
|
||||
subgraph_builder.add_node("sub_node", subgraph_node)
|
||||
subgraph_builder.add_edge(START, "sub_node")
|
||||
subgraph = subgraph_builder.compile()
|
||||
|
||||
def main_node(state: State, runtime: Runtime) -> dict[str, str]:
|
||||
captured_main["execution_info"] = runtime.execution_info
|
||||
return {"message": "from_main"}
|
||||
|
||||
builder = StateGraph(State)
|
||||
builder.add_node("main_node", main_node)
|
||||
builder.add_node("subgraph", subgraph)
|
||||
builder.add_edge(START, "main_node")
|
||||
builder.add_edge("main_node", "subgraph")
|
||||
graph = builder.compile(checkpointer=MemorySaver())
|
||||
|
||||
graph.invoke(
|
||||
{"message": "hi"},
|
||||
config={"configurable": {"thread_id": "sub-thread"}},
|
||||
)
|
||||
|
||||
main_info = captured_main["execution_info"]
|
||||
sub_info = captured_sub["execution_info"]
|
||||
|
||||
# Both share the same thread_id
|
||||
assert main_info.thread_id == "sub-thread"
|
||||
assert sub_info.thread_id == "sub-thread"
|
||||
|
||||
# Both have node_attempt = 1
|
||||
assert main_info.node_attempt == 1
|
||||
assert sub_info.node_attempt == 1
|
||||
|
||||
# Main namespace is "main_node:<task_id>" (top-level, no separator)
|
||||
assert main_info.checkpoint_ns.startswith("main_node:")
|
||||
assert "|" not in main_info.checkpoint_ns
|
||||
|
||||
# Subgraph namespace is "subgraph:<task_id>|sub_node:<task_id>" (nested)
|
||||
assert sub_info.checkpoint_ns.startswith("subgraph:")
|
||||
assert "|sub_node:" in sub_info.checkpoint_ns
|
||||
|
||||
# task_id appears in its own namespace segment
|
||||
assert main_info.task_id in main_info.checkpoint_ns
|
||||
assert sub_info.task_id in sub_info.checkpoint_ns
|
||||
|
||||
@@ -1,401 +0,0 @@
|
||||
"""Tests for LifecycleTransformer.
|
||||
|
||||
Consumes the `tasks` stream mode and emits subgraph lifecycle payloads
|
||||
on the `lifecycle` channel for both in-process iteration via
|
||||
`run.lifecycle` and wire delivery via `custom:lifecycle` protocol
|
||||
events. Most tests dispatch synthetic protocol events through a
|
||||
`StreamMux` to keep the inference logic isolated; the end-of-file
|
||||
group exercises the path through real graphs (multi-depth
|
||||
discovery, nested `stream_v2` calls with non-empty `parent_ns`).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import operator
|
||||
import time
|
||||
from typing import Annotated, Any
|
||||
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph._internal._constants import CONF, CONFIG_KEY_CHECKPOINT_NS
|
||||
from langgraph.constants import END, START
|
||||
from langgraph.errors import GraphInterrupt
|
||||
from langgraph.graph import StateGraph
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from langgraph.stream.transformers import (
|
||||
LifecyclePayload,
|
||||
LifecycleTransformer,
|
||||
)
|
||||
|
||||
TS = int(time.time() * 1000)
|
||||
|
||||
|
||||
def _tasks_start(
|
||||
namespace: list[str],
|
||||
*,
|
||||
task_id: str,
|
||||
name: str,
|
||||
) -> dict[str, Any]:
|
||||
"""Build a `tasks` ProtocolEvent carrying a TaskPayload (start)."""
|
||||
return {
|
||||
"type": "event",
|
||||
"method": "tasks",
|
||||
"params": {
|
||||
"namespace": namespace,
|
||||
"timestamp": TS,
|
||||
"data": {
|
||||
"id": task_id,
|
||||
"name": name,
|
||||
"input": None,
|
||||
"triggers": [],
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def _tasks_result(
|
||||
namespace: list[str],
|
||||
*,
|
||||
task_id: str,
|
||||
name: str,
|
||||
error: str | None = None,
|
||||
interrupts: list[dict[str, Any]] | None = None,
|
||||
) -> dict[str, Any]:
|
||||
"""Build a `tasks` ProtocolEvent carrying a TaskResultPayload (finish)."""
|
||||
return {
|
||||
"type": "event",
|
||||
"method": "tasks",
|
||||
"params": {
|
||||
"namespace": namespace,
|
||||
"timestamp": TS,
|
||||
"data": {
|
||||
"id": task_id,
|
||||
"name": name,
|
||||
"error": error,
|
||||
"interrupts": interrupts or [],
|
||||
"result": {},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def _arm(mux: StreamMux) -> None:
|
||||
"""Force projection channels to accept pushes (skip lazy-subscribe gate).
|
||||
|
||||
`StreamChannel.push` only appends to the local buffer when a
|
||||
subscriber is attached. Tests that inspect `_items` directly need
|
||||
the gate flipped before any event is dispatched.
|
||||
"""
|
||||
mux._events._subscribed = True
|
||||
for transformer in mux._transformers:
|
||||
if isinstance(transformer, LifecycleTransformer):
|
||||
transformer._channel._subscribed = True
|
||||
|
||||
|
||||
def _drain_lifecycle(mux: StreamMux) -> list[LifecyclePayload]:
|
||||
"""Snapshot the lifecycle channel's buffer."""
|
||||
transformer = mux.transformer_by_key("lifecycle")
|
||||
assert isinstance(transformer, LifecycleTransformer)
|
||||
return list(transformer._channel._items)
|
||||
|
||||
|
||||
def _build_lifecycle_mux(*, scope: tuple[str, ...] = ()) -> StreamMux:
|
||||
mux = StreamMux([LifecycleTransformer(scope=scope)], is_async=False)
|
||||
_arm(mux)
|
||||
return mux
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# LifecycleTransformer
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_started_emitted_on_first_direct_child_task() -> None:
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc123"], task_id="t1", name="tool"))
|
||||
|
||||
[payload] = _drain_lifecycle(mux)
|
||||
assert payload["event"] == "started"
|
||||
assert payload["namespace"] == ["agent:abc123"]
|
||||
assert payload["graph_name"] == "agent"
|
||||
assert payload["trigger_call_id"] == "abc123"
|
||||
|
||||
|
||||
def test_started_dedup_on_repeat_namespace() -> None:
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="a"))
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t2", name="b"))
|
||||
|
||||
payloads = _drain_lifecycle(mux)
|
||||
assert [p["event"] for p in payloads] == ["started"]
|
||||
|
||||
|
||||
def test_grandchild_namespace_discovered() -> None:
|
||||
"""Subgraphs at any depth below scope are tracked, not just direct children."""
|
||||
mux = _build_lifecycle_mux()
|
||||
# First-seen task at length-2 ns means a 2nd-level subgraph started.
|
||||
mux.push(_tasks_start(["agent:abc", "tool:def"], task_id="t1", name="x"))
|
||||
|
||||
[payload] = _drain_lifecycle(mux)
|
||||
assert payload["event"] == "started"
|
||||
assert payload["namespace"] == ["agent:abc", "tool:def"]
|
||||
|
||||
|
||||
def test_nested_chain_emits_started_at_each_depth() -> None:
|
||||
"""A graph → subgraph → subgraph chain produces a started event per level."""
|
||||
mux = _build_lifecycle_mux()
|
||||
# Subgraph1 starts emitting tasks (events tagged with its own ns).
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
# Subgraph1 invokes subgraph2; subgraph2's first task event arrives.
|
||||
mux.push(_tasks_start(["agent:abc", "tool:def"], task_id="t2", name="deep"))
|
||||
|
||||
payloads = _drain_lifecycle(mux)
|
||||
assert [p["namespace"] for p in payloads] == [
|
||||
["agent:abc"],
|
||||
["agent:abc", "tool:def"],
|
||||
]
|
||||
assert all(p["event"] == "started" for p in payloads)
|
||||
|
||||
|
||||
def test_nested_chain_emits_completed_at_each_depth() -> None:
|
||||
"""Each subgraph in a nested chain closes when its parent task result arrives."""
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
mux.push(_tasks_start(["agent:abc", "tool:def"], task_id="t2", name="deep"))
|
||||
|
||||
# Subgraph2's owning task (id=def, inside subgraph1) finishes.
|
||||
mux.push(_tasks_result(["agent:abc"], task_id="def", name="tool"))
|
||||
# Subgraph1's owning task (id=abc, at root) finishes.
|
||||
mux.push(_tasks_result([], task_id="abc", name="agent"))
|
||||
|
||||
payloads = _drain_lifecycle(mux)
|
||||
events = [(p["event"], p["namespace"]) for p in payloads]
|
||||
assert events == [
|
||||
("started", ["agent:abc"]),
|
||||
("started", ["agent:abc", "tool:def"]),
|
||||
("completed", ["agent:abc", "tool:def"]),
|
||||
("completed", ["agent:abc"]),
|
||||
]
|
||||
|
||||
|
||||
def test_completed_on_parent_task_result() -> None:
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
mux.push(_tasks_result([], task_id="abc", name="agent"))
|
||||
|
||||
events = [p["event"] for p in _drain_lifecycle(mux)]
|
||||
assert events == ["started", "completed"]
|
||||
|
||||
|
||||
def test_failed_on_parent_task_result_with_error() -> None:
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
mux.push(_tasks_result([], task_id="abc", name="agent", error="boom"))
|
||||
|
||||
payloads = _drain_lifecycle(mux)
|
||||
assert [p["event"] for p in payloads] == ["started", "failed"]
|
||||
assert payloads[1]["error"] == "boom"
|
||||
|
||||
|
||||
def test_interrupted_on_parent_task_result_with_interrupts() -> None:
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
mux.push(
|
||||
_tasks_result(
|
||||
[],
|
||||
task_id="abc",
|
||||
name="agent",
|
||||
interrupts=[{"value": "pause"}],
|
||||
)
|
||||
)
|
||||
|
||||
payloads = _drain_lifecycle(mux)
|
||||
assert [p["event"] for p in payloads] == ["started", "interrupted"]
|
||||
|
||||
|
||||
def test_interrupt_takes_precedence_over_error() -> None:
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
mux.push(
|
||||
_tasks_result(
|
||||
[],
|
||||
task_id="abc",
|
||||
name="agent",
|
||||
error="should-be-suppressed",
|
||||
interrupts=[{"value": "pause"}],
|
||||
)
|
||||
)
|
||||
|
||||
last = _drain_lifecycle(mux)[-1]
|
||||
assert last["event"] == "interrupted"
|
||||
assert "error" not in last
|
||||
|
||||
|
||||
def test_finalize_completes_open_subgraphs() -> None:
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
|
||||
mux.close()
|
||||
payloads = _drain_lifecycle(mux)
|
||||
assert [p["event"] for p in payloads] == ["started", "completed"]
|
||||
|
||||
|
||||
def test_fail_emits_interrupted_for_graph_interrupt() -> None:
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
|
||||
mux.fail(GraphInterrupt())
|
||||
payloads = _drain_lifecycle(mux)
|
||||
assert [p["event"] for p in payloads] == ["started", "interrupted"]
|
||||
assert "error" not in payloads[1]
|
||||
|
||||
|
||||
def test_fail_emits_failed_for_other_exceptions() -> None:
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
|
||||
mux.fail(RuntimeError("boom"))
|
||||
payloads = _drain_lifecycle(mux)
|
||||
assert [p["event"] for p in payloads] == ["started", "failed"]
|
||||
assert payloads[1]["error"] == "boom"
|
||||
|
||||
|
||||
def test_unrelated_methods_pass_through() -> None:
|
||||
"""Non-`tasks` events are not consumed and don't emit lifecycle."""
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(
|
||||
{
|
||||
"type": "event",
|
||||
"method": "values",
|
||||
"params": {"namespace": ["agent:abc"], "timestamp": TS, "data": {}},
|
||||
}
|
||||
)
|
||||
assert _drain_lifecycle(mux) == []
|
||||
|
||||
|
||||
def test_scoped_transformer_filters_outside_scope_but_tracks_all_depths() -> None:
|
||||
"""Scope filters the prefix; subgraphs at any depth below scope are tracked."""
|
||||
mux = _build_lifecycle_mux(scope=("agent:abc",))
|
||||
# Root-level task — out of scope (no shared prefix).
|
||||
mux.push(_tasks_start(["other:1"], task_id="t1", name="other"))
|
||||
# Direct child of agent:abc — in scope.
|
||||
mux.push(_tasks_start(["agent:abc", "tool:def"], task_id="t2", name="tool"))
|
||||
# Grandchild of agent:abc — also in scope, tracked at its own depth.
|
||||
mux.push(
|
||||
_tasks_start(["agent:abc", "tool:def", "deep:ghi"], task_id="t3", name="deep")
|
||||
)
|
||||
|
||||
payloads = _drain_lifecycle(mux)
|
||||
assert [p["namespace"] for p in payloads] == [
|
||||
["agent:abc", "tool:def"],
|
||||
["agent:abc", "tool:def", "deep:ghi"],
|
||||
]
|
||||
|
||||
|
||||
def test_required_stream_modes_declared() -> None:
|
||||
assert LifecycleTransformer.required_stream_modes == ("tasks",)
|
||||
|
||||
|
||||
def test_protocol_event_method_is_native() -> None:
|
||||
"""Native transformer — auto-forwarded events use `lifecycle`, not `custom:lifecycle`."""
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
|
||||
methods = {evt["method"] for evt in mux._events._items}
|
||||
assert "lifecycle" in methods
|
||||
assert "custom:lifecycle" not in methods
|
||||
|
||||
|
||||
def test_tasks_events_suppressed_from_main_log() -> None:
|
||||
"""Tasks events are folded into lifecycle and don't appear on the main log."""
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
mux.push(_tasks_result([], task_id="abc", name="agent"))
|
||||
|
||||
methods = [evt["method"] for evt in mux._events._items]
|
||||
assert "tasks" not in methods
|
||||
# Lifecycle events did make it through, though.
|
||||
assert "lifecycle" in methods
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end: real graphs through stream_v2
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _State(TypedDict):
|
||||
value: str
|
||||
items: Annotated[list[str], operator.add]
|
||||
|
||||
|
||||
def _passthrough(state: _State) -> dict[str, Any]:
|
||||
return {"value": state["value"] + "!", "items": ["x"]}
|
||||
|
||||
|
||||
def _make_two_level_nested() -> Any:
|
||||
"""Build outer → middle → inner. Three Pregel instances, two nesting levels."""
|
||||
inner_b: StateGraph = StateGraph(_State, input_schema=_State)
|
||||
inner_b.add_node("inner_node", _passthrough)
|
||||
inner_b.add_edge(START, "inner_node")
|
||||
inner_b.add_edge("inner_node", END)
|
||||
inner = inner_b.compile()
|
||||
|
||||
middle_b: StateGraph = StateGraph(_State, input_schema=_State)
|
||||
middle_b.add_node("inner", inner)
|
||||
middle_b.add_edge(START, "inner")
|
||||
middle_b.add_edge("inner", END)
|
||||
middle = middle_b.compile()
|
||||
|
||||
outer_b: StateGraph = StateGraph(_State, input_schema=_State)
|
||||
outer_b.add_node("middle", middle)
|
||||
outer_b.add_edge(START, "middle")
|
||||
outer_b.add_edge("middle", END)
|
||||
return outer_b.compile()
|
||||
|
||||
|
||||
def test_stream_v2_real_graph_emits_lifecycle_at_each_depth() -> None:
|
||||
"""Outer graph with two nested subgraphs surfaces lifecycle for both."""
|
||||
graph = _make_two_level_nested()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
# Iterating the projection drives the pump and drains synthesized
|
||||
# lifecycle events at the same time.
|
||||
payloads = list(run.lifecycle)
|
||||
# Each subgraph instance produces a started + a terminal event. Two
|
||||
# nested instances, so four payloads total in some interleaving.
|
||||
by_event = {p["event"] for p in payloads}
|
||||
assert "started" in by_event
|
||||
assert "completed" in by_event
|
||||
# Two distinct namespaces — direct child of root, and grandchild.
|
||||
namespaces = {tuple(p["namespace"]) for p in payloads}
|
||||
direct_children = {ns for ns in namespaces if len(ns) == 1}
|
||||
grandchildren = {ns for ns in namespaces if len(ns) == 2}
|
||||
assert direct_children, f"expected a level-1 lifecycle namespace, got {namespaces}"
|
||||
assert grandchildren, f"expected a level-2 lifecycle namespace, got {namespaces}"
|
||||
# Every direct-child namespace has a matching grandchild whose path extends it.
|
||||
for parent in direct_children:
|
||||
assert any(gc[: len(parent)] == parent for gc in grandchildren), (
|
||||
f"grandchild does not extend parent {parent}: {grandchildren}"
|
||||
)
|
||||
|
||||
|
||||
def test_stream_v2_with_nested_parent_ns_scopes_lifecycle() -> None:
|
||||
"""When `stream_v2` is called with a non-empty checkpoint_ns in config,
|
||||
`_resolve_parent_ns` returns that namespace and the registered
|
||||
`LifecycleTransformer` is constructed with `scope=parent_ns`. This
|
||||
exercises the path that exists today purely for nested-stream_v2
|
||||
callers; the test simulates such a caller by injecting a
|
||||
checkpoint_ns into the config.
|
||||
"""
|
||||
graph = _make_two_level_nested()
|
||||
config = {CONF: {CONFIG_KEY_CHECKPOINT_NS: "outer:abc"}}
|
||||
run = graph.stream_v2({"value": "x", "items": []}, config=config)
|
||||
|
||||
payloads = list(run.lifecycle)
|
||||
# Every emitted lifecycle namespace must extend the caller's scope —
|
||||
# nothing at root-level, nothing under a sibling prefix.
|
||||
for p in payloads:
|
||||
ns = tuple(p["namespace"])
|
||||
assert ns[:1] == ("outer:abc",), (
|
||||
f"namespace {ns} not within scoped prefix ('outer:abc',)"
|
||||
)
|
||||
@@ -1,876 +0,0 @@
|
||||
"""Tests for MessagesTransformer: protocol event routing, whole-message fallback,
|
||||
legacy v1 chunk filtering, and end-to-end via stream_v2 / astream_v2."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import time
|
||||
from typing import Any
|
||||
|
||||
import pytest
|
||||
from langchain_core.language_models import GenericFakeChatModel
|
||||
from langchain_core.language_models.chat_model_stream import (
|
||||
AsyncChatModelStream,
|
||||
ChatModelStream,
|
||||
)
|
||||
from langchain_core.messages import AIMessage, AIMessageChunk
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.constants import END, START
|
||||
from langgraph.graph import MessagesState, StateGraph
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from langgraph.stream.run_stream import GraphRunStream
|
||||
from langgraph.stream.stream_channel import StreamChannel
|
||||
from langgraph.stream.transformers import MessagesTransformer, ValuesTransformer
|
||||
|
||||
TS = int(time.time() * 1000)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _proto_event(
|
||||
event: dict[str, Any],
|
||||
*,
|
||||
run_id: str = "run-1",
|
||||
node: str = "llm",
|
||||
) -> dict[str, Any]:
|
||||
"""Build a messages ProtocolEvent carrying a protocol event dict (v2 path)."""
|
||||
return {
|
||||
"type": "event",
|
||||
"method": "messages",
|
||||
"params": {
|
||||
"namespace": [],
|
||||
"timestamp": TS,
|
||||
"data": (event, {"langgraph_node": node, "run_id": run_id}),
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def _v1_chunk(
|
||||
text: str,
|
||||
msg_id: str = "msg-1",
|
||||
*,
|
||||
finish: bool = False,
|
||||
node: str = "llm",
|
||||
) -> dict[str, Any]:
|
||||
"""Build a messages ProtocolEvent carrying a v1 AIMessageChunk tuple."""
|
||||
rm: dict[str, Any] = {"finish_reason": "stop"} if finish else {}
|
||||
return {
|
||||
"type": "event",
|
||||
"method": "messages",
|
||||
"params": {
|
||||
"namespace": [],
|
||||
"timestamp": TS,
|
||||
"data": (
|
||||
AIMessageChunk(content=text, id=msg_id, response_metadata=rm),
|
||||
{"langgraph_node": node},
|
||||
),
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def _whole_msg(
|
||||
text: str,
|
||||
msg_id: str = "msg-10",
|
||||
*,
|
||||
node: str = "node",
|
||||
) -> dict[str, Any]:
|
||||
"""Build a messages ProtocolEvent carrying a completed AIMessage."""
|
||||
return {
|
||||
"type": "event",
|
||||
"method": "messages",
|
||||
"params": {
|
||||
"namespace": [],
|
||||
"timestamp": TS,
|
||||
"data": (AIMessage(content=text, id=msg_id), {"langgraph_node": node}),
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def _make_sync_transformer() -> tuple[
|
||||
MessagesTransformer, StreamChannel[ChatModelStream]
|
||||
]:
|
||||
t = MessagesTransformer()
|
||||
log: StreamChannel[ChatModelStream] = t.init()["messages"]
|
||||
log._bind(is_async=False)
|
||||
# Subscribe up front so pushes during process() are retained.
|
||||
log._subscribed = True
|
||||
t._bind_pump(lambda: False)
|
||||
return t, log
|
||||
|
||||
|
||||
def _make_async_transformer() -> tuple[
|
||||
MessagesTransformer, StreamChannel[ChatModelStream]
|
||||
]:
|
||||
t = MessagesTransformer()
|
||||
log: StreamChannel[ChatModelStream] = t.init()["messages"]
|
||||
log._bind(is_async=True)
|
||||
log._subscribed = True
|
||||
return t, log
|
||||
|
||||
|
||||
def _lifecycle(
|
||||
*, text: str = "hello world", message_id: str = "run-1"
|
||||
) -> list[dict[str, Any]]:
|
||||
"""Produce a valid protocol event lifecycle: start, delta, finish."""
|
||||
half = len(text) // 2
|
||||
first, second = text[:half], text[half:]
|
||||
return [
|
||||
{"event": "message-start", "role": "ai", "message_id": message_id},
|
||||
{
|
||||
"event": "content-block-start",
|
||||
"index": 0,
|
||||
"content_block": {"type": "text", "text": ""},
|
||||
},
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"index": 0,
|
||||
"content_block": {"type": "text", "text": first},
|
||||
},
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"index": 0,
|
||||
"content_block": {"type": "text", "text": second},
|
||||
},
|
||||
{
|
||||
"event": "content-block-finish",
|
||||
"index": 0,
|
||||
"content_block": {"type": "text", "text": text},
|
||||
},
|
||||
{"event": "message-finish", "reason": "stop"},
|
||||
]
|
||||
|
||||
|
||||
def _simple_graph():
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
model = GenericFakeChatModel(messages=iter(["hello world"]))
|
||||
stream = model.stream_v2(state["messages"])
|
||||
return {"messages": stream.output}
|
||||
|
||||
return (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Protocol event routing
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestProtocolEventRouting:
|
||||
def test_message_start_creates_stream(self) -> None:
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(
|
||||
_proto_event(
|
||||
{"event": "message-start", "role": "ai", "message_id": "run-1"},
|
||||
run_id="run-1",
|
||||
)
|
||||
)
|
||||
log.close()
|
||||
(stream,) = list(log._items)
|
||||
assert isinstance(stream, ChatModelStream)
|
||||
assert stream.message_id == "run-1"
|
||||
|
||||
def test_full_lifecycle_yields_done_stream(self) -> None:
|
||||
t, log = _make_sync_transformer()
|
||||
for evt in _lifecycle(text="hello world"):
|
||||
t.process(_proto_event(evt, run_id="run-1"))
|
||||
log.close()
|
||||
(stream,) = list(log._items)
|
||||
assert stream.done
|
||||
assert stream.output.text == "hello world"
|
||||
|
||||
def test_message_finish_cleans_up_routing(self) -> None:
|
||||
t, log = _make_sync_transformer()
|
||||
for evt in _lifecycle():
|
||||
t.process(_proto_event(evt, run_id="run-1"))
|
||||
assert t._by_run == {}
|
||||
|
||||
def test_events_without_prior_start_are_ignored(self) -> None:
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(
|
||||
_proto_event(
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"index": 0,
|
||||
"content_block": {"type": "text", "text": "orphan"},
|
||||
},
|
||||
run_id="unknown",
|
||||
)
|
||||
)
|
||||
log.close()
|
||||
assert list(log._items) == []
|
||||
|
||||
def test_concurrent_streams_routed_by_run_id(self) -> None:
|
||||
t, log = _make_sync_transformer()
|
||||
life_a = _lifecycle(text="aaaa", message_id="run-a")
|
||||
life_b = _lifecycle(text="bbbb", message_id="run-b")
|
||||
for a, b in zip(life_a, life_b):
|
||||
t.process(_proto_event(a, run_id="run-a"))
|
||||
t.process(_proto_event(b, run_id="run-b"))
|
||||
log.close()
|
||||
streams = list(log._items)
|
||||
assert len(streams) == 2
|
||||
by_id = {s.message_id: s for s in streams}
|
||||
assert by_id["run-a"].output.text == "aaaa"
|
||||
assert by_id["run-b"].output.text == "bbbb"
|
||||
|
||||
def test_text_deltas_accumulated_on_stream(self) -> None:
|
||||
t, log = _make_sync_transformer()
|
||||
for evt in _lifecycle(text="abcdef"):
|
||||
t.process(_proto_event(evt))
|
||||
log.close()
|
||||
(stream,) = list(log._items)
|
||||
assert "".join(stream._text_proj._deltas) == "abcdef"
|
||||
|
||||
def test_stream_pushed_on_message_start_not_finish(self) -> None:
|
||||
# Consumer can see the stream before message-finish arrives.
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(
|
||||
_proto_event(
|
||||
{"event": "message-start", "role": "ai", "message_id": "run-1"},
|
||||
run_id="run-1",
|
||||
)
|
||||
)
|
||||
assert len(log._items) == 1
|
||||
|
||||
def test_node_metadata_set_on_stream(self) -> None:
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(
|
||||
_proto_event(
|
||||
{"event": "message-start", "role": "ai", "message_id": "run-1"},
|
||||
run_id="run-1",
|
||||
node="my_llm",
|
||||
)
|
||||
)
|
||||
(stream,) = list(log._items)
|
||||
assert stream.node == "my_llm"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Whole-message fallback
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestWholeMessageFallback:
|
||||
def test_whole_ai_message_produces_complete_stream(self) -> None:
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(_whole_msg("the full answer"))
|
||||
log.close()
|
||||
(stream,) = list(log._items)
|
||||
assert stream.done
|
||||
assert stream.output.text == "the full answer"
|
||||
|
||||
def test_whole_message_has_full_lifecycle(self) -> None:
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(_whole_msg("full"))
|
||||
log.close()
|
||||
(stream,) = list(log._items)
|
||||
assert [e["event"] for e in stream._events] == [
|
||||
"message-start",
|
||||
"content-block-start",
|
||||
"content-block-delta",
|
||||
"content-block-finish",
|
||||
"message-finish",
|
||||
]
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Filtering
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestFiltering:
|
||||
def test_non_messages_events_pass_through(self) -> None:
|
||||
t, _ = _make_sync_transformer()
|
||||
assert (
|
||||
t.process(
|
||||
{
|
||||
"type": "event",
|
||||
"method": "values",
|
||||
"params": {"namespace": [], "timestamp": TS, "data": {"x": 1}},
|
||||
}
|
||||
)
|
||||
is True
|
||||
)
|
||||
|
||||
def test_subgraph_namespace_dropped(self) -> None:
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(
|
||||
{
|
||||
"type": "event",
|
||||
"method": "messages",
|
||||
"params": {
|
||||
"namespace": ["subgraph"],
|
||||
"timestamp": TS,
|
||||
"data": (
|
||||
{"event": "message-start", "message_id": "run-x"},
|
||||
{"run_id": "run-x"},
|
||||
),
|
||||
},
|
||||
}
|
||||
)
|
||||
log.close()
|
||||
assert list(log._items) == []
|
||||
|
||||
def test_legacy_v1_chunks_ignored(self) -> None:
|
||||
# v1 AIMessageChunk tuples (from on_llm_new_token) are not streamed
|
||||
# into this projection; callers must migrate to stream_v2.
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(_v1_chunk("hello"))
|
||||
t.process(_v1_chunk(" world", finish=True))
|
||||
log.close()
|
||||
assert list(log._items) == []
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Lifecycle: fail / finalize
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestLifecycle:
|
||||
def test_fail_propagates_to_open_streams(self) -> None:
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(
|
||||
_proto_event(
|
||||
{"event": "message-start", "message_id": "run-1"}, run_id="run-1"
|
||||
)
|
||||
)
|
||||
streams = list(log._items)
|
||||
err = RuntimeError("graph died")
|
||||
t.fail(err)
|
||||
assert t._by_run == {}
|
||||
assert streams[0]._error is err
|
||||
|
||||
def test_finalize_clears_routing_state(self) -> None:
|
||||
t, _ = _make_sync_transformer()
|
||||
t.process(
|
||||
_proto_event(
|
||||
{"event": "message-start", "message_id": "run-1"}, run_id="run-1"
|
||||
)
|
||||
)
|
||||
assert "run-1" in t._by_run
|
||||
t.finalize()
|
||||
assert t._by_run == {}
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Async mode
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestAsyncMode:
|
||||
def test_async_mode_creates_async_stream(self) -> None:
|
||||
t, log = _make_async_transformer()
|
||||
for evt in _lifecycle(text="async stream"):
|
||||
t.process(_proto_event(evt))
|
||||
assert isinstance(list(log._items)[0], AsyncChatModelStream)
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_text_projection_yields_deltas(self) -> None:
|
||||
t, log = _make_async_transformer()
|
||||
for evt in _lifecycle(text="hello world"):
|
||||
t.process(_proto_event(evt))
|
||||
(stream,) = list(log._items)
|
||||
assert isinstance(stream, AsyncChatModelStream)
|
||||
assert "".join([d async for d in stream.text]) == "hello world"
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_output_awaitable(self) -> None:
|
||||
t, log = _make_async_transformer()
|
||||
for evt in _lifecycle(text="async"):
|
||||
t.process(_proto_event(evt))
|
||||
(stream,) = list(log._items)
|
||||
assert (await stream.output).text == "async"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# GraphRunStream integration
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestWireRequestMore:
|
||||
def test_bind_pump_called_on_wire(self) -> None:
|
||||
values_t = ValuesTransformer()
|
||||
messages_t = MessagesTransformer()
|
||||
mux = StreamMux([values_t, messages_t], is_async=False)
|
||||
|
||||
assert messages_t._pump_fn is None
|
||||
run = GraphRunStream(iter([]), mux, values_t)
|
||||
assert messages_t._pump_fn is not None
|
||||
assert messages_t._pump_fn() is False
|
||||
assert run._exhausted
|
||||
|
||||
def test_created_streams_have_request_more(self) -> None:
|
||||
values_t = ValuesTransformer()
|
||||
messages_t = MessagesTransformer()
|
||||
mux = StreamMux([values_t, messages_t], is_async=False)
|
||||
GraphRunStream(iter([]), mux, values_t)
|
||||
|
||||
log: StreamChannel[ChatModelStream] = mux.extensions["messages"]
|
||||
log._subscribed = True
|
||||
for evt in _lifecycle():
|
||||
messages_t.process(_proto_event(evt))
|
||||
|
||||
(stream,) = list(log._items)
|
||||
assert stream._request_more is messages_t._pump_fn
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end via StreamMux
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestViaMux:
|
||||
def _make_mux(
|
||||
self,
|
||||
) -> tuple[MessagesTransformer, StreamMux, StreamChannel[ChatModelStream]]:
|
||||
t = MessagesTransformer()
|
||||
v = ValuesTransformer()
|
||||
mux = StreamMux([v, t], is_async=False)
|
||||
t._bind_pump(lambda: False)
|
||||
log: StreamChannel[ChatModelStream] = mux.extensions["messages"]
|
||||
log._subscribed = True
|
||||
return t, mux, log
|
||||
|
||||
def test_streaming_via_mux(self) -> None:
|
||||
t, mux, log = self._make_mux()
|
||||
for evt in _lifecycle(text="mux stream"):
|
||||
mux.push(_proto_event(evt))
|
||||
mux.close()
|
||||
(stream,) = list(log._items)
|
||||
assert stream.output.text == "mux stream"
|
||||
|
||||
def test_whole_message_via_mux(self) -> None:
|
||||
t, mux, log = self._make_mux()
|
||||
mux.push(_whole_msg("result"))
|
||||
mux.close()
|
||||
(stream,) = list(log._items)
|
||||
assert stream.output.text == "result"
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_streaming_via_mux(self) -> None:
|
||||
t = MessagesTransformer()
|
||||
v = ValuesTransformer()
|
||||
mux = StreamMux([v, t], is_async=True)
|
||||
log: StreamChannel[ChatModelStream] = mux.extensions["messages"]
|
||||
log._subscribed = True
|
||||
|
||||
for evt in _lifecycle(text="async mux"):
|
||||
await mux.apush(_proto_event(evt))
|
||||
|
||||
(stream,) = list(log._items)
|
||||
assert (await stream.output).text == "async mux"
|
||||
await mux.aclose()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end: graph → stream_v2 → run.messages (node calls stream_v2)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestEndToEnd:
|
||||
"""stream_v2 path: node calls model.stream_v2() explicitly."""
|
||||
|
||||
def test_node_calling_stream_v2_populates_messages(self) -> None:
|
||||
model = GenericFakeChatModel(messages=iter(["hello world"]))
|
||||
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
stream = model.stream_v2(state["messages"])
|
||||
return {"messages": stream.output}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
(stream,) = list(run.messages)
|
||||
assert isinstance(stream, ChatModelStream)
|
||||
assert stream.output.text == "hello world"
|
||||
|
||||
def test_node_stream_v2_text_deltas_iterate(self) -> None:
|
||||
"""Consumer can iterate `.text` on the streamed message in real time."""
|
||||
model = GenericFakeChatModel(messages=iter(["streamed answer"]))
|
||||
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
stream = model.stream_v2(state["messages"])
|
||||
return {"messages": stream.output}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2({"messages": "go"})
|
||||
(stream,) = list(run.messages)
|
||||
assert "".join(stream.text) == "streamed answer"
|
||||
|
||||
def test_non_llm_message_returned_from_node(self) -> None:
|
||||
"""Whole-message fallback: node returns a finalized AIMessage directly."""
|
||||
|
||||
def return_message(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": AIMessage(content="hardcoded", id="msg-abc")}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("return_message", return_message)
|
||||
.add_edge(START, "return_message")
|
||||
.add_edge("return_message", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
(stream,) = list(run.messages)
|
||||
assert stream.output.text == "hardcoded"
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_node_calling_astream_v2(self) -> None:
|
||||
model = GenericFakeChatModel(messages=iter(["async answer"]))
|
||||
|
||||
async def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
stream = await model.astream_v2(state["messages"])
|
||||
return {"messages": await stream}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = await graph.astream_v2({"messages": "hi"})
|
||||
streams = [s async for s in run.messages]
|
||||
assert len(streams) == 1
|
||||
assert isinstance(streams[0], AsyncChatModelStream)
|
||||
assert (await streams[0].output).text == "async answer"
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_nested_async_iteration_yields_text_deltas(self) -> None:
|
||||
"""Inner stream.text drives the shared graph pump via the async pump binding."""
|
||||
import asyncio
|
||||
|
||||
model = GenericFakeChatModel(messages=iter(["hello world"]))
|
||||
|
||||
async def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
stream = await model.astream_v2(state["messages"])
|
||||
return {"messages": await stream}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = await graph.astream_v2({"messages": "hi"})
|
||||
|
||||
async def consume() -> list[str]:
|
||||
collected: list[str] = []
|
||||
async for stream in run.messages:
|
||||
async for delta in stream.text:
|
||||
collected.append(delta)
|
||||
return collected
|
||||
|
||||
assert "".join(await asyncio.wait_for(consume(), timeout=2.0)) == "hello world"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end: graph → stream_v2 → run.messages (node calls invoke)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestEndToEndV2Invoke:
|
||||
"""Auto-routing path: stream_v2 injects CONFIG_KEY_STREAM_MESSAGES_V2,
|
||||
causing BaseChatModel to drive the v2 protocol event generator even for
|
||||
model.invoke()."""
|
||||
|
||||
def _graph(self, model):
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": model.invoke(state["messages"])}
|
||||
|
||||
return (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
def test_invoke_populates_messages(self) -> None:
|
||||
run = self._graph(
|
||||
GenericFakeChatModel(messages=iter(["hello world"]))
|
||||
).stream_v2({"messages": "hi"})
|
||||
(stream,) = list(run.messages)
|
||||
assert isinstance(stream, ChatModelStream)
|
||||
assert stream.output.text == "hello world"
|
||||
|
||||
def test_invoke_emits_protocol_events(self) -> None:
|
||||
"""Iterating the stream yields the full v2 lifecycle, not v1 chunks."""
|
||||
run = self._graph(
|
||||
GenericFakeChatModel(messages=iter(["streamed answer"]))
|
||||
).stream_v2({"messages": "go"})
|
||||
(stream,) = list(run.messages)
|
||||
|
||||
events = list(stream)
|
||||
event_types = [e.get("event") for e in events]
|
||||
assert "message-start" in event_types
|
||||
assert "content-block-start" in event_types
|
||||
assert "content-block-delta" in event_types
|
||||
assert "content-block-finish" in event_types
|
||||
assert "message-finish" in event_types
|
||||
# Sanity: every event is a dict carrying an "event" key — not an
|
||||
# AIMessageChunk tuple from the v1 path.
|
||||
for event in events:
|
||||
assert isinstance(event, dict)
|
||||
assert "event" in event
|
||||
# Typed projection still assembles the final text.
|
||||
assert stream.output.text == "streamed answer"
|
||||
|
||||
def test_invoke_text_deltas_iterate(self) -> None:
|
||||
run = self._graph(
|
||||
GenericFakeChatModel(messages=iter(["delta streaming works"]))
|
||||
).stream_v2({"messages": "hi"})
|
||||
(stream,) = list(run.messages)
|
||||
assert "".join(stream.text) == "delta streaming works"
|
||||
|
||||
def test_invoke_two_nodes_two_streams(self) -> None:
|
||||
model_a = GenericFakeChatModel(messages=iter(["alpha"]))
|
||||
model_b = GenericFakeChatModel(messages=iter(["beta"]))
|
||||
|
||||
def node_a(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": model_a.invoke(state["messages"])}
|
||||
|
||||
def node_b(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": model_b.invoke(state["messages"])}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("node_a", node_a)
|
||||
.add_node("node_b", node_b)
|
||||
.add_edge(START, "node_a")
|
||||
.add_edge("node_a", "node_b")
|
||||
.add_edge("node_b", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
streams = list(graph.stream_v2({"messages": "hi"}).messages)
|
||||
assert len(streams) == 2
|
||||
assert {s.output.text for s in streams} == {"alpha", "beta"}
|
||||
|
||||
def test_invoke_plus_constructed_message_two_streams(self) -> None:
|
||||
"""Live-streamed node + constructed-message node → two ChatModelStreams."""
|
||||
model = GenericFakeChatModel(messages=iter(["live stream"]))
|
||||
|
||||
def streaming_node(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": model.invoke(state["messages"])}
|
||||
|
||||
def constructed_node(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": [AIMessage(content="hardcoded", id="constructed-1")]}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("streaming_node", streaming_node)
|
||||
.add_node("constructed_node", constructed_node)
|
||||
.add_edge(START, "streaming_node")
|
||||
.add_edge("streaming_node", "constructed_node")
|
||||
.add_edge("constructed_node", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
streams = list(run.messages)
|
||||
assert len(streams) == 2
|
||||
assert streams[0].node == "streaming_node"
|
||||
assert streams[0].output.text == "live stream"
|
||||
assert streams[1].node == "constructed_node"
|
||||
assert streams[1].output.text == "hardcoded"
|
||||
assert streams[1].message_id == "constructed-1"
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_ainvoke_populates_messages(self) -> None:
|
||||
model = GenericFakeChatModel(messages=iter(["async invoke"]))
|
||||
|
||||
async def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": await model.ainvoke(state["messages"])}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = await graph.astream_v2({"messages": "hi"})
|
||||
streams = [s async for s in run.messages]
|
||||
assert len(streams) == 1
|
||||
assert isinstance(streams[0], AsyncChatModelStream)
|
||||
assert (await streams[0].output).text == "async invoke"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Regression: direct stream_mode="messages" must stay v1
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestDirectMessagesModeStaysV1:
|
||||
def test_direct_graph_stream_messages_yields_ai_message_chunks(self) -> None:
|
||||
"""graph.stream(stream_mode="messages") must not leak v2 event dicts —
|
||||
the v2 flag is only injected by stream_v2 / astream_v2."""
|
||||
model = GenericFakeChatModel(messages=iter(["legacy path"]))
|
||||
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": model.invoke(state["messages"])}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
parts = list(graph.stream({"messages": "hi"}, stream_mode="messages"))
|
||||
assert parts, "expected stream_mode='messages' to emit tuples"
|
||||
for payload, _metadata in parts:
|
||||
assert isinstance(payload, AIMessageChunk)
|
||||
assert (
|
||||
"".join(p[0].content for p in parts if isinstance(p[0].content, str))
|
||||
== "legacy path"
|
||||
)
|
||||
|
||||
def test_nested_graph_stream_messages_stays_v1_under_outer_stream_v2(self) -> None:
|
||||
"""An outer `stream_v2()` run must not flip an inner direct
|
||||
`stream_mode="messages"` call onto the v2 event protocol."""
|
||||
model = GenericFakeChatModel(messages=iter(["nested legacy path"]))
|
||||
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": model.invoke(state["messages"])}
|
||||
|
||||
inner = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
class OuterState(TypedDict, total=False):
|
||||
saw_only_chunks: bool
|
||||
first_payload_type: str
|
||||
text: str
|
||||
|
||||
def call_subgraph(state: OuterState, config: RunnableConfig) -> dict[str, Any]:
|
||||
parts = list(
|
||||
inner.stream(
|
||||
{"messages": "hi"},
|
||||
config,
|
||||
stream_mode="messages",
|
||||
)
|
||||
)
|
||||
assert parts
|
||||
payloads = [payload for payload, _metadata in parts]
|
||||
return {
|
||||
"saw_only_chunks": all(
|
||||
isinstance(payload, AIMessageChunk) for payload in payloads
|
||||
),
|
||||
"first_payload_type": type(payloads[0]).__name__,
|
||||
"text": "".join(
|
||||
payload.content
|
||||
for payload in payloads
|
||||
if isinstance(payload, AIMessageChunk)
|
||||
and isinstance(payload.content, str)
|
||||
),
|
||||
}
|
||||
|
||||
outer = (
|
||||
StateGraph(OuterState)
|
||||
.add_node("call_subgraph", call_subgraph)
|
||||
.add_edge(START, "call_subgraph")
|
||||
.add_edge("call_subgraph", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
result = outer.stream_v2({}).output
|
||||
|
||||
assert result is not None
|
||||
assert result["saw_only_chunks"] is True
|
||||
assert result["first_payload_type"] == "AIMessageChunk"
|
||||
assert result["text"] == "nested legacy path"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# StreamMessagesHandlerV2 unit
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestStreamMessagesHandlerV2Unit:
|
||||
def test_on_llm_new_token_is_noop(self) -> None:
|
||||
"""v2 handler must not emit v1 chunks even when on_llm_new_token fires."""
|
||||
from uuid import uuid4
|
||||
|
||||
from langchain_core.outputs import ChatGenerationChunk
|
||||
|
||||
from langgraph.pregel._messages import StreamMessagesHandlerV2
|
||||
|
||||
emitted: list[Any] = []
|
||||
handler = StreamMessagesHandlerV2(emitted.append, subgraphs=False)
|
||||
run_id = uuid4()
|
||||
handler.metadata[run_id] = ((), {"langgraph_node": "x"})
|
||||
|
||||
handler.on_llm_new_token(
|
||||
"hello",
|
||||
chunk=ChatGenerationChunk(message=AIMessageChunk(content="hello")),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
assert emitted == []
|
||||
|
||||
def test_on_llm_end_dedupes_when_final_message_id_differs(self) -> None:
|
||||
"""A streamed v2 message should not be emitted again from the final
|
||||
AIMessage fallback when its final id does not match `message-start`."""
|
||||
from uuid import uuid4
|
||||
|
||||
from langchain_core.outputs import ChatGeneration, LLMResult
|
||||
|
||||
from langgraph.pregel._messages import StreamMessagesHandlerV2
|
||||
|
||||
emitted: list[Any] = []
|
||||
handler = StreamMessagesHandlerV2(emitted.append, subgraphs=False)
|
||||
run_id = uuid4()
|
||||
handler.metadata[run_id] = ((), {"langgraph_node": "x"})
|
||||
|
||||
handler.on_stream_event(
|
||||
{"event": "message-start", "message_id": "stream-msg-1"},
|
||||
run_id=run_id,
|
||||
)
|
||||
handler.on_llm_end(
|
||||
LLMResult(
|
||||
generations=[
|
||||
[
|
||||
ChatGeneration(
|
||||
message=AIMessage(content="hello", id="final-msg-1")
|
||||
)
|
||||
]
|
||||
]
|
||||
),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
assert len(emitted) == 1
|
||||
@@ -1,863 +0,0 @@
|
||||
"""Tests for SubgraphTransformer.
|
||||
|
||||
Subscribes to `tasks` events and produces in-process `SubgraphRunStream`
|
||||
handles backed by mini-muxes (built via `StreamMux._make_child`). The
|
||||
synthetic-event tests isolate the inference / mini-mux wiring; the
|
||||
real-graph tests exercise the end-to-end navigation path through
|
||||
`stream_v2`.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import operator
|
||||
import time
|
||||
from collections.abc import AsyncIterator
|
||||
from functools import partial
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.constants import END, START
|
||||
from langgraph.errors import GraphInterrupt
|
||||
from langgraph.graph import StateGraph
|
||||
from langgraph.pregel.main import _normalize_stream_transformer_factories
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from langgraph.stream._types import ProtocolEvent, StreamTransformer
|
||||
from langgraph.stream.run_stream import (
|
||||
AsyncGraphRunStream,
|
||||
AsyncSubgraphRunStream,
|
||||
GraphRunStream,
|
||||
SubgraphRunStream,
|
||||
)
|
||||
from langgraph.stream.transformers import (
|
||||
LifecycleTransformer,
|
||||
MessagesTransformer,
|
||||
SubgraphTransformer,
|
||||
ValuesTransformer,
|
||||
)
|
||||
|
||||
TS = int(time.time() * 1000)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _tasks_start(
|
||||
namespace: list[str],
|
||||
*,
|
||||
task_id: str,
|
||||
name: str,
|
||||
) -> dict[str, Any]:
|
||||
return {
|
||||
"type": "event",
|
||||
"method": "tasks",
|
||||
"params": {
|
||||
"namespace": namespace,
|
||||
"timestamp": TS,
|
||||
"data": {
|
||||
"id": task_id,
|
||||
"name": name,
|
||||
"input": None,
|
||||
"triggers": [],
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def _tasks_result(
|
||||
namespace: list[str],
|
||||
*,
|
||||
task_id: str,
|
||||
name: str,
|
||||
error: str | None = None,
|
||||
interrupts: list[dict[str, Any]] | None = None,
|
||||
) -> dict[str, Any]:
|
||||
return {
|
||||
"type": "event",
|
||||
"method": "tasks",
|
||||
"params": {
|
||||
"namespace": namespace,
|
||||
"timestamp": TS,
|
||||
"data": {
|
||||
"id": task_id,
|
||||
"name": name,
|
||||
"error": error,
|
||||
"interrupts": interrupts or [],
|
||||
"result": {},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def _native_factories() -> list[Any]:
|
||||
"""Mirror the factory list `Pregel.stream_v2` registers."""
|
||||
return [
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
LifecycleTransformer,
|
||||
SubgraphTransformer,
|
||||
]
|
||||
|
||||
|
||||
def _stream_part(
|
||||
method: str,
|
||||
namespace: tuple[str, ...],
|
||||
data: Any,
|
||||
) -> dict[str, Any]:
|
||||
return {"type": method, "ns": namespace, "data": data}
|
||||
|
||||
|
||||
async def _astream_parts(*parts: dict[str, Any]) -> AsyncIterator[dict[str, Any]]:
|
||||
for part in parts:
|
||||
yield part
|
||||
|
||||
|
||||
def _arm(mux: StreamMux) -> None:
|
||||
"""Pre-subscribe every projection in the mux so synthetic pushes accumulate.
|
||||
|
||||
Real consumer code subscribes by iterating the projection; tests
|
||||
inspect `_items` directly, so the lazy-subscribe gate has to be
|
||||
flipped manually before any synthetic events are pushed.
|
||||
"""
|
||||
mux._events._subscribed = True
|
||||
for value in mux.extensions.values():
|
||||
if hasattr(value, "_subscribed"):
|
||||
value._subscribed = True
|
||||
|
||||
|
||||
def _arm_recursive(mux: StreamMux) -> None:
|
||||
"""Arm `mux` and every mini-mux currently held by SubgraphTransformer handles.
|
||||
|
||||
Mini-muxes are created during `mux.push(...)` when a new direct
|
||||
child is discovered. Tests must call this after each push that
|
||||
might have created a new mini-mux so subsequent pushes' projection
|
||||
side effects accumulate (rather than dropping silently against an
|
||||
unsubscribed log).
|
||||
"""
|
||||
_arm(mux)
|
||||
for handle in _subgraph_transformer(mux)._handles.values():
|
||||
if handle._mux is not None:
|
||||
_arm_recursive(handle._mux)
|
||||
|
||||
|
||||
def _build_root_mux(*, scope: tuple[str, ...] = ()) -> StreamMux:
|
||||
mux = StreamMux(
|
||||
factories=_native_factories(),
|
||||
scope=scope,
|
||||
is_async=False,
|
||||
)
|
||||
_arm(mux)
|
||||
return mux
|
||||
|
||||
|
||||
def _subgraph_transformer(mux: StreamMux) -> SubgraphTransformer:
|
||||
transformer = mux.transformer_by_key("subgraphs")
|
||||
assert isinstance(transformer, SubgraphTransformer)
|
||||
return transformer
|
||||
|
||||
|
||||
def _drain_subgraphs(mux: StreamMux) -> list[SubgraphRunStream]:
|
||||
return list(_subgraph_transformer(mux)._log._items)
|
||||
|
||||
|
||||
def _child_mux(handle: SubgraphRunStream | AsyncSubgraphRunStream) -> StreamMux:
|
||||
assert handle._mux is not None
|
||||
return handle._mux
|
||||
|
||||
|
||||
def _event_items(mux: StreamMux) -> list[ProtocolEvent]:
|
||||
return list(mux._events._items)
|
||||
|
||||
|
||||
def _lifecycle_payloads(mux: StreamMux) -> list[dict[str, Any]]:
|
||||
lifecycle_t = mux.transformer_by_key("lifecycle")
|
||||
assert isinstance(lifecycle_t, LifecycleTransformer)
|
||||
return list(lifecycle_t._channel._items)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Synthetic-event tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_handle_created_on_first_direct_child_task() -> None:
|
||||
mux = _build_root_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
|
||||
[handle] = _drain_subgraphs(mux)
|
||||
assert handle.path == ("agent:abc",)
|
||||
assert handle.graph_name == "agent"
|
||||
assert handle.trigger_call_id == "abc"
|
||||
assert handle.status == "started"
|
||||
_child_mux(handle) # mini-mux backed
|
||||
|
||||
|
||||
def test_handle_status_completes_on_parent_result() -> None:
|
||||
mux = _build_root_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
mux.push(_tasks_result([], task_id="abc", name="agent"))
|
||||
|
||||
[handle] = _drain_subgraphs(mux)
|
||||
assert handle.status == "completed"
|
||||
assert handle.error is None
|
||||
|
||||
|
||||
def test_handle_status_failed_with_error() -> None:
|
||||
mux = _build_root_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
mux.push(_tasks_result([], task_id="abc", name="agent", error="boom"))
|
||||
|
||||
[handle] = _drain_subgraphs(mux)
|
||||
assert handle.status == "failed"
|
||||
assert handle.error == "boom"
|
||||
|
||||
|
||||
def test_handle_status_interrupted() -> None:
|
||||
mux = _build_root_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
mux.push(
|
||||
_tasks_result(
|
||||
[],
|
||||
task_id="abc",
|
||||
name="agent",
|
||||
interrupts=[{"value": "pause"}],
|
||||
)
|
||||
)
|
||||
|
||||
[handle] = _drain_subgraphs(mux)
|
||||
assert handle.status == "interrupted"
|
||||
|
||||
|
||||
def test_grandchild_discovered_via_child_mini_mux() -> None:
|
||||
"""Each mini-mux owns its own scope; grandchildren live on the child handle."""
|
||||
mux = _build_root_mux()
|
||||
# Direct child started — creates the mini-mux.
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
# Pre-subscribe the freshly-created mini-mux so subsequent
|
||||
# forwarded events land on its projections (consumer would
|
||||
# subscribe naturally by iterating handle.subgraphs, but the
|
||||
# test inspects `_items` directly).
|
||||
_arm_recursive(mux)
|
||||
# Grandchild's first task event flows down into the child mini-mux.
|
||||
mux.push(_tasks_start(["agent:abc", "tool:def"], task_id="t2", name="deep"))
|
||||
|
||||
[child_handle] = _drain_subgraphs(mux)
|
||||
assert child_handle.path == ("agent:abc",)
|
||||
# The grandchild appears on the CHILD'S subgraphs projection.
|
||||
grandchildren = list(child_handle.subgraphs._items)
|
||||
assert len(grandchildren) == 1
|
||||
assert grandchildren[0].path == ("agent:abc", "tool:def")
|
||||
|
||||
|
||||
def test_finalize_completes_open_handles() -> None:
|
||||
mux = _build_root_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
|
||||
mux.close()
|
||||
[handle] = _drain_subgraphs(mux)
|
||||
assert handle.status == "completed"
|
||||
|
||||
|
||||
def test_fail_marks_open_handles_interrupted_for_graph_interrupt() -> None:
|
||||
mux = _build_root_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
|
||||
mux.fail(GraphInterrupt())
|
||||
[handle] = _drain_subgraphs(mux)
|
||||
assert handle.status == "interrupted"
|
||||
|
||||
|
||||
def test_fail_marks_open_handles_failed_for_other_errors() -> None:
|
||||
mux = _build_root_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
|
||||
mux.fail(RuntimeError("boom"))
|
||||
[handle] = _drain_subgraphs(mux)
|
||||
assert handle.status == "failed"
|
||||
assert handle.error == "boom"
|
||||
|
||||
|
||||
def test_child_mux_requires_factories() -> None:
|
||||
"""A mux constructed only from `transformers=` can't clone factories."""
|
||||
transformer = SubgraphTransformer()
|
||||
mux = StreamMux(transformers=[transformer], is_async=False)
|
||||
with pytest.raises(RuntimeError, match="factories"):
|
||||
mux._make_child(("anything",))
|
||||
|
||||
|
||||
def test_subgraph_and_lifecycle_agree_on_terminal_status() -> None:
|
||||
"""Both transformers consume the same tasks signal — no drift."""
|
||||
mux = _build_root_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
mux.push(_tasks_result([], task_id="abc", name="agent", error="boom"))
|
||||
|
||||
[handle] = _drain_subgraphs(mux)
|
||||
payloads = _lifecycle_payloads(mux)
|
||||
assert handle.status == "failed"
|
||||
assert payloads[-1]["event"] == "failed"
|
||||
assert handle.error == payloads[-1]["error"]
|
||||
|
||||
|
||||
def test_required_stream_modes_declared() -> None:
|
||||
assert SubgraphTransformer.required_stream_modes == ("tasks",)
|
||||
|
||||
|
||||
def test_tasks_events_suppressed_from_main_log() -> None:
|
||||
"""Tasks events are folded into discovery and don't appear on the main log."""
|
||||
mux = _build_root_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
mux.push(_tasks_result([], task_id="abc", name="agent"))
|
||||
|
||||
methods = [evt["method"] for evt in _event_items(mux)]
|
||||
assert "tasks" not in methods
|
||||
|
||||
|
||||
class _ChildEventObserver(StreamTransformer):
|
||||
"""Records child-scope event identity without mutating it."""
|
||||
|
||||
records: list[tuple[tuple[str, ...], int, int, bool]] = []
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {}
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
if self.scope and event["method"] == "values":
|
||||
self.records.append(
|
||||
(
|
||||
self.scope,
|
||||
id(event),
|
||||
id(event["params"]["data"]),
|
||||
"seq" in event,
|
||||
)
|
||||
)
|
||||
return True
|
||||
|
||||
|
||||
def test_child_forwarding_reuses_event_without_assigning_seq() -> None:
|
||||
_ChildEventObserver.records = []
|
||||
mux = StreamMux(
|
||||
factories=[
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
LifecycleTransformer,
|
||||
SubgraphTransformer,
|
||||
_ChildEventObserver,
|
||||
],
|
||||
is_async=False,
|
||||
)
|
||||
_arm(mux)
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
data = {"x": 1}
|
||||
event: ProtocolEvent = {
|
||||
"type": "event",
|
||||
"method": "values",
|
||||
"params": {
|
||||
"namespace": ["agent:abc"],
|
||||
"timestamp": TS,
|
||||
"data": data,
|
||||
},
|
||||
}
|
||||
mux.push(event)
|
||||
|
||||
assert _ChildEventObserver.records == [(("agent:abc",), id(event), id(data), False)]
|
||||
[root_event] = [evt for evt in _event_items(mux) if evt["method"] == "values"]
|
||||
assert root_event is event
|
||||
assert "seq" in root_event
|
||||
|
||||
|
||||
class _AsyncProbeTransformer(StreamTransformer):
|
||||
"""Async-only transformer used to verify mini-mux async dispatch."""
|
||||
|
||||
required_stream_modes = ("tasks",)
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self.seen: list[tuple[str, ...]] = []
|
||||
self.finalized = False
|
||||
self.failed: BaseException | None = None
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"async_probe": self}
|
||||
|
||||
async def aprocess(self, event: ProtocolEvent) -> bool:
|
||||
self.seen.append(tuple(event["params"]["namespace"]))
|
||||
return True
|
||||
|
||||
async def afinalize(self) -> None:
|
||||
self.finalized = True
|
||||
|
||||
async def afail(self, err: BaseException) -> None:
|
||||
self.failed = err
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_child_mini_mux_uses_async_lane() -> None:
|
||||
mux = StreamMux(
|
||||
factories=[
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
LifecycleTransformer,
|
||||
SubgraphTransformer,
|
||||
_AsyncProbeTransformer,
|
||||
],
|
||||
is_async=True,
|
||||
)
|
||||
await mux.apush(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
|
||||
handle = _subgraph_transformer(mux)._handles[("agent:abc",)]
|
||||
assert isinstance(handle, AsyncSubgraphRunStream)
|
||||
probe = _child_mux(handle).transformer_by_key("async_probe")
|
||||
assert isinstance(probe, _AsyncProbeTransformer)
|
||||
assert probe.seen == [("agent:abc",)]
|
||||
|
||||
await mux.apush(_tasks_result([], task_id="abc", name="agent"))
|
||||
assert probe.finalized is True
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_child_mini_mux_fail_uses_async_lane() -> None:
|
||||
mux = StreamMux(
|
||||
factories=[
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
LifecycleTransformer,
|
||||
SubgraphTransformer,
|
||||
_AsyncProbeTransformer,
|
||||
],
|
||||
is_async=True,
|
||||
)
|
||||
await mux.apush(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
|
||||
handle = _subgraph_transformer(mux)._handles[("agent:abc",)]
|
||||
probe = _child_mux(handle).transformer_by_key("async_probe")
|
||||
assert isinstance(probe, _AsyncProbeTransformer)
|
||||
|
||||
err = RuntimeError("boom")
|
||||
await mux.afail(err)
|
||||
assert probe.failed is err
|
||||
|
||||
|
||||
class _StandardCtorTransformer(StreamTransformer):
|
||||
"""Transformer class that inherits the standard scoped constructor."""
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"standard_ctor": self}
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
return True
|
||||
|
||||
|
||||
class _ScopedTransformer(StreamTransformer):
|
||||
"""Transformer class that uses the inherited scoped construction."""
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"scoped": self}
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
return True
|
||||
|
||||
|
||||
class _ConfigurableFactoryTransformer(StreamTransformer):
|
||||
"""Transformer built by a configured per-scope factory."""
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = (), *, label: str) -> None:
|
||||
super().__init__(scope)
|
||||
self.label = label
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"configurable": self}
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
return True
|
||||
|
||||
|
||||
class _ChildExploder(StreamTransformer):
|
||||
"""Raise from child mini-muxes to verify errors propagate upstream."""
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {}
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
if self.scope and event["method"] == "values":
|
||||
raise RuntimeError("child boom")
|
||||
return True
|
||||
|
||||
|
||||
class _ChildFinalizeExploder(StreamTransformer):
|
||||
"""Raise from child mini-mux finalization."""
|
||||
|
||||
supports_sync = True
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {}
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
return True
|
||||
|
||||
def finalize(self) -> None:
|
||||
if self.scope:
|
||||
raise RuntimeError("child finalize boom")
|
||||
|
||||
async def afinalize(self) -> None:
|
||||
if self.scope:
|
||||
raise RuntimeError("child afinalize boom")
|
||||
|
||||
|
||||
def test_normalize_transformer_factories_supports_scoped_classes() -> None:
|
||||
factories = _normalize_stream_transformer_factories(
|
||||
[_StandardCtorTransformer, _ScopedTransformer]
|
||||
)
|
||||
|
||||
standard_ctor = factories[0](("child",))
|
||||
scoped = factories[1](("child",))
|
||||
assert isinstance(standard_ctor, _StandardCtorTransformer)
|
||||
assert standard_ctor.scope == ("child",)
|
||||
assert isinstance(scoped, _ScopedTransformer)
|
||||
assert scoped.scope == ("child",)
|
||||
|
||||
|
||||
def test_normalize_transformer_factories_supports_configured_factories() -> None:
|
||||
factories = _normalize_stream_transformer_factories(
|
||||
[partial(_ConfigurableFactoryTransformer, label="configured")]
|
||||
)
|
||||
|
||||
built = factories[0](("child",))
|
||||
assert isinstance(built, _ConfigurableFactoryTransformer)
|
||||
assert built.label == "configured"
|
||||
assert built.scope == ("child",)
|
||||
|
||||
|
||||
def test_normalize_transformer_factories_rejects_instances() -> None:
|
||||
with pytest.raises(TypeError, match="pre-built instance"):
|
||||
_normalize_stream_transformer_factories([_StandardCtorTransformer()])
|
||||
|
||||
|
||||
def test_child_forwarding_errors_fail_sync_run() -> None:
|
||||
mux = StreamMux(
|
||||
factories=[
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
LifecycleTransformer,
|
||||
SubgraphTransformer,
|
||||
_ChildExploder,
|
||||
],
|
||||
is_async=False,
|
||||
)
|
||||
values_t = mux.transformer_by_key("values")
|
||||
assert isinstance(values_t, ValuesTransformer)
|
||||
run = GraphRunStream(
|
||||
iter(
|
||||
[
|
||||
_stream_part(
|
||||
"tasks",
|
||||
("agent:abc",),
|
||||
{
|
||||
"id": "t1",
|
||||
"name": "tool",
|
||||
"input": None,
|
||||
"triggers": [],
|
||||
},
|
||||
),
|
||||
_stream_part("values", ("agent:abc",), {"x": 1}),
|
||||
]
|
||||
),
|
||||
mux,
|
||||
values_t,
|
||||
)
|
||||
|
||||
handle = next(iter(run.subgraphs))
|
||||
assert handle.path == ("agent:abc",)
|
||||
with pytest.raises(RuntimeError, match="child boom"):
|
||||
_ = run.output
|
||||
assert run._mux._events._error is not None
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_child_forwarding_errors_fail_async_run() -> None:
|
||||
mux = StreamMux(
|
||||
factories=[
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
LifecycleTransformer,
|
||||
SubgraphTransformer,
|
||||
_ChildExploder,
|
||||
],
|
||||
is_async=True,
|
||||
)
|
||||
values_t = mux.transformer_by_key("values")
|
||||
assert isinstance(values_t, ValuesTransformer)
|
||||
run = AsyncGraphRunStream(
|
||||
_astream_parts(
|
||||
_stream_part(
|
||||
"tasks",
|
||||
("agent:abc",),
|
||||
{
|
||||
"id": "t1",
|
||||
"name": "tool",
|
||||
"input": None,
|
||||
"triggers": [],
|
||||
},
|
||||
),
|
||||
_stream_part("values", ("agent:abc",), {"x": 1}),
|
||||
),
|
||||
mux,
|
||||
values_t,
|
||||
)
|
||||
|
||||
handle = await run.subgraphs.__aiter__().__anext__()
|
||||
assert handle.path == ("agent:abc",)
|
||||
with pytest.raises(RuntimeError, match="child boom"):
|
||||
await run.output()
|
||||
assert run._mux._events._error is not None
|
||||
|
||||
|
||||
def test_child_finalize_errors_propagate_to_sync_run() -> None:
|
||||
mux = StreamMux(
|
||||
factories=[
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
LifecycleTransformer,
|
||||
SubgraphTransformer,
|
||||
_ChildFinalizeExploder,
|
||||
],
|
||||
is_async=False,
|
||||
)
|
||||
values_t = mux.transformer_by_key("values")
|
||||
assert isinstance(values_t, ValuesTransformer)
|
||||
run = GraphRunStream(
|
||||
iter(
|
||||
[
|
||||
_stream_part(
|
||||
"tasks",
|
||||
("agent:abc",),
|
||||
{
|
||||
"id": "t1",
|
||||
"name": "tool",
|
||||
"input": None,
|
||||
"triggers": [],
|
||||
},
|
||||
)
|
||||
]
|
||||
),
|
||||
mux,
|
||||
values_t,
|
||||
)
|
||||
|
||||
with pytest.raises(RuntimeError, match="child finalize boom"):
|
||||
_ = run.output
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_child_finalize_errors_propagate_to_async_run() -> None:
|
||||
mux = StreamMux(
|
||||
factories=[
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
LifecycleTransformer,
|
||||
SubgraphTransformer,
|
||||
_ChildFinalizeExploder,
|
||||
],
|
||||
is_async=True,
|
||||
)
|
||||
values_t = mux.transformer_by_key("values")
|
||||
assert isinstance(values_t, ValuesTransformer)
|
||||
run = AsyncGraphRunStream(
|
||||
_astream_parts(
|
||||
_stream_part(
|
||||
"tasks",
|
||||
("agent:abc",),
|
||||
{
|
||||
"id": "t1",
|
||||
"name": "tool",
|
||||
"input": None,
|
||||
"triggers": [],
|
||||
},
|
||||
)
|
||||
),
|
||||
mux,
|
||||
values_t,
|
||||
)
|
||||
|
||||
with pytest.raises(RuntimeError, match="child afinalize boom"):
|
||||
await run.output()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end real-graph tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _State(TypedDict):
|
||||
value: str
|
||||
items: Annotated[list[str], operator.add]
|
||||
|
||||
|
||||
def _passthrough(state: _State) -> dict[str, Any]:
|
||||
return {"value": state["value"] + "!", "items": ["x"]}
|
||||
|
||||
|
||||
def _make_two_level_nested() -> Any:
|
||||
"""outer → middle → inner. Three Pregel instances, two nesting levels."""
|
||||
inner_b: StateGraph = StateGraph(_State, input_schema=_State)
|
||||
inner_b.add_node("inner_node", _passthrough)
|
||||
inner_b.add_edge(START, "inner_node")
|
||||
inner_b.add_edge("inner_node", END)
|
||||
inner = inner_b.compile()
|
||||
|
||||
middle_b: StateGraph = StateGraph(_State, input_schema=_State)
|
||||
middle_b.add_node("inner", inner)
|
||||
middle_b.add_edge(START, "inner")
|
||||
middle_b.add_edge("inner", END)
|
||||
middle = middle_b.compile()
|
||||
|
||||
outer_b: StateGraph = StateGraph(_State, input_schema=_State)
|
||||
outer_b.add_node("middle", middle)
|
||||
outer_b.add_edge(START, "middle")
|
||||
outer_b.add_edge("middle", END)
|
||||
return outer_b.compile()
|
||||
|
||||
|
||||
def _item_node(item: str):
|
||||
def node(state: _State) -> dict[str, Any]:
|
||||
return {"items": [item]}
|
||||
|
||||
return node
|
||||
|
||||
|
||||
def _make_two_sibling_subgraphs() -> Any:
|
||||
"""outer → one → two, where both nodes are compiled subgraphs."""
|
||||
one_b: StateGraph = StateGraph(_State, input_schema=_State)
|
||||
one_b.add_node("add_one", _item_node("one"))
|
||||
one_b.add_edge(START, "add_one")
|
||||
one_b.add_edge("add_one", END)
|
||||
one = one_b.compile()
|
||||
|
||||
two_b: StateGraph = StateGraph(_State, input_schema=_State)
|
||||
two_b.add_node("add_two", _item_node("two"))
|
||||
two_b.add_edge(START, "add_two")
|
||||
two_b.add_edge("add_two", END)
|
||||
two = two_b.compile()
|
||||
|
||||
outer_b: StateGraph = StateGraph(_State, input_schema=_State)
|
||||
outer_b.add_node("one", one)
|
||||
outer_b.add_node("two", two)
|
||||
outer_b.add_edge(START, "one")
|
||||
outer_b.add_edge("one", "two")
|
||||
outer_b.add_edge("two", END)
|
||||
return outer_b.compile()
|
||||
|
||||
|
||||
def _failing_node(state: _State) -> dict[str, Any]:
|
||||
raise ValueError("child boom")
|
||||
|
||||
|
||||
def _make_failing_nested() -> Any:
|
||||
inner_b: StateGraph = StateGraph(_State, input_schema=_State)
|
||||
inner_b.add_node("fail", _failing_node)
|
||||
inner_b.add_edge(START, "fail")
|
||||
inner_b.add_edge("fail", END)
|
||||
inner = inner_b.compile()
|
||||
|
||||
outer_b: StateGraph = StateGraph(_State, input_schema=_State)
|
||||
outer_b.add_node("inner", inner)
|
||||
outer_b.add_edge(START, "inner")
|
||||
outer_b.add_edge("inner", END)
|
||||
return outer_b.compile()
|
||||
|
||||
|
||||
def test_stream_v2_real_graph_yields_subgraph_handles() -> None:
|
||||
"""Iterating `run.subgraphs` yields handles for direct-child subgraphs."""
|
||||
graph = _make_two_level_nested()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
handle_paths: list[tuple[str, ...]] = []
|
||||
final_status: dict[tuple[str, ...], str] = {}
|
||||
for handle in run.subgraphs:
|
||||
# Drill into the handle's projections inside the loop body so
|
||||
# the mini-mux is subscribed before the next pump cycle.
|
||||
list(handle.values)
|
||||
handle_paths.append(handle.path)
|
||||
final_status[handle.path] = handle.status
|
||||
|
||||
assert len(handle_paths) == 1
|
||||
assert handle_paths[0][0].startswith("middle:")
|
||||
assert final_status[handle_paths[0]] == "completed"
|
||||
|
||||
|
||||
def test_stream_v2_grandchild_visible_on_child_handle() -> None:
|
||||
"""Drilling into `handle.subgraphs` surfaces nested grandchildren."""
|
||||
graph = _make_two_level_nested()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
grandchild_paths: list[tuple[str, ...]] = []
|
||||
middle_path: tuple[str, ...] | None = None
|
||||
for middle_handle in run.subgraphs:
|
||||
# Subscribe to grandchildren before the next pump cycle.
|
||||
for inner_handle in middle_handle.subgraphs:
|
||||
# Subscribe to inner.values so its mini-mux drains.
|
||||
list(inner_handle.values)
|
||||
grandchild_paths.append(inner_handle.path)
|
||||
middle_path = middle_handle.path
|
||||
|
||||
assert middle_path is not None
|
||||
assert len(grandchild_paths) == 1
|
||||
inner_path = grandchild_paths[0]
|
||||
assert inner_path[1].startswith("inner:")
|
||||
assert inner_path[: len(middle_path)] == middle_path
|
||||
|
||||
|
||||
def test_subgraph_output_stops_at_own_terminal_without_draining_siblings() -> None:
|
||||
"""A handle's `output` must not pump past its terminal event.
|
||||
|
||||
If it over-pumps the root run, the second sibling handle is yielded
|
||||
only after it has already completed, so subscribing to `values`
|
||||
inside the loop body misses its events.
|
||||
"""
|
||||
graph = _make_two_sibling_subgraphs()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
paths: list[tuple[str, ...]] = []
|
||||
second_values: list[dict[str, Any]] = []
|
||||
for handle in run.subgraphs:
|
||||
paths.append(handle.path)
|
||||
if handle.graph_name == "one":
|
||||
assert handle.output is not None
|
||||
assert handle.status == "completed"
|
||||
elif handle.graph_name == "two":
|
||||
second_values = list(handle.values)
|
||||
|
||||
assert [path[0].split(":", 1)[0] for path in paths] == ["one", "two"]
|
||||
assert second_values
|
||||
assert second_values[-1]["items"] == ["one", "two"]
|
||||
|
||||
|
||||
def test_aborted_subgraph_handle_does_not_fail_parent_forwarding() -> None:
|
||||
graph = _make_two_sibling_subgraphs()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
seen: list[str | None] = []
|
||||
for handle in run.subgraphs:
|
||||
seen.append(handle.graph_name)
|
||||
if handle.graph_name == "one":
|
||||
# Subscribe before aborting to ensure forwarding into the
|
||||
# closed mini-mux would have raised without the closed check.
|
||||
iter(handle.values)
|
||||
handle.abort()
|
||||
elif handle.graph_name == "two":
|
||||
assert list(handle.values)
|
||||
|
||||
assert seen == ["one", "two"]
|
||||
|
||||
|
||||
def test_failed_subgraph_output_raises_terminal_error() -> None:
|
||||
graph = _make_failing_nested()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
handle = next(iter(run.subgraphs))
|
||||
with pytest.raises(RuntimeError, match="child boom"):
|
||||
_ = handle.output
|
||||
assert handle.status == "failed"
|
||||
assert handle.error == "child boom"
|
||||
@@ -1,792 +0,0 @@
|
||||
"""End-to-end tests exercising all stream_v2 projections together.
|
||||
|
||||
Each test builds a realistic graph (subgraphs, LLM calls, custom writers,
|
||||
interrupts) and verifies that every projection — values, messages, lifecycle,
|
||||
subgraphs, raw events, output, interleave — produces correct, consistent
|
||||
results through a single stream_v2 / astream_v2 run.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import operator
|
||||
import sys
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
from langchain_core.language_models import GenericFakeChatModel
|
||||
from langchain_core.language_models.chat_model_stream import (
|
||||
AsyncChatModelStream,
|
||||
ChatModelStream,
|
||||
)
|
||||
from langchain_core.messages import AIMessage
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.constants import END, START
|
||||
from langgraph.graph import MessagesState, StateGraph
|
||||
from langgraph.stream import StreamChannel, StreamTransformer
|
||||
from langgraph.stream._types import ProtocolEvent
|
||||
from langgraph.types import StreamWriter, interrupt
|
||||
|
||||
NEEDS_CONTEXTVARS = pytest.mark.skipif(
|
||||
sys.version_info < (3, 11),
|
||||
reason="Python 3.11+ is required for async contextvars support",
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# State and graph builders
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class AgentState(TypedDict):
|
||||
value: str
|
||||
items: Annotated[list[str], operator.add]
|
||||
|
||||
|
||||
def _make_nested_graph():
|
||||
"""Build a two-level graph with pure state transforms.
|
||||
|
||||
Structure:
|
||||
outer:
|
||||
router_node (state transform)
|
||||
inner_graph (compiled subgraph)
|
||||
|
||||
inner_graph:
|
||||
process_node (state transform)
|
||||
"""
|
||||
|
||||
def process_node(state: AgentState) -> dict[str, Any]:
|
||||
return {"value": state["value"] + "_processed", "items": ["processed"]}
|
||||
|
||||
inner_builder: StateGraph = StateGraph(AgentState, input_schema=AgentState)
|
||||
inner_builder.add_node("process_node", process_node)
|
||||
inner_builder.add_edge(START, "process_node")
|
||||
inner_builder.add_edge("process_node", END)
|
||||
inner_graph = inner_builder.compile()
|
||||
|
||||
def router_node(state: AgentState) -> dict[str, Any]:
|
||||
return {"value": state["value"] + "_routed", "items": ["routed"]}
|
||||
|
||||
outer_builder: StateGraph = StateGraph(AgentState, input_schema=AgentState)
|
||||
outer_builder.add_node("router", router_node)
|
||||
outer_builder.add_node("inner", inner_graph)
|
||||
outer_builder.add_edge(START, "router")
|
||||
outer_builder.add_edge("router", "inner")
|
||||
outer_builder.add_edge("inner", END)
|
||||
return outer_builder.compile()
|
||||
|
||||
|
||||
def _make_messages_graph():
|
||||
"""Flat graph with an LLM call for messages projection testing."""
|
||||
model = GenericFakeChatModel(messages=iter(["hello world"]))
|
||||
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": model.invoke(state["messages"])}
|
||||
|
||||
return (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
|
||||
def _make_messages_subgraph():
|
||||
"""Outer graph with a MessagesState subgraph that returns an AIMessage.
|
||||
|
||||
Uses the whole-message fallback path (node returns AIMessage directly)
|
||||
to exercise messages through a subgraph boundary.
|
||||
"""
|
||||
|
||||
def return_message(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": AIMessage(content="from subgraph", id="sub-msg-1")}
|
||||
|
||||
inner = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("return_message", return_message)
|
||||
.add_edge(START, "return_message")
|
||||
.add_edge("return_message", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
class OuterState(TypedDict):
|
||||
messages: Annotated[list[Any], operator.add]
|
||||
done: bool
|
||||
|
||||
def pre_node(state: OuterState) -> dict[str, Any]:
|
||||
return {"done": False}
|
||||
|
||||
return (
|
||||
StateGraph(OuterState)
|
||||
.add_node("pre", pre_node)
|
||||
.add_node("inner", inner)
|
||||
.add_edge(START, "pre")
|
||||
.add_edge("pre", "inner")
|
||||
.add_edge("inner", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
|
||||
def _make_custom_writer_graph():
|
||||
"""Graph where a node emits custom stream events via StreamWriter."""
|
||||
|
||||
def writer_node(state: AgentState, *, writer: StreamWriter) -> dict[str, Any]:
|
||||
writer({"step": "start", "detail": "beginning work"})
|
||||
writer({"step": "middle", "detail": "processing"})
|
||||
writer({"step": "end", "detail": "done"})
|
||||
return {"value": state["value"] + "_custom", "items": ["custom"]}
|
||||
|
||||
builder = StateGraph(AgentState)
|
||||
builder.add_node("writer_node", writer_node)
|
||||
builder.add_edge(START, "writer_node")
|
||||
builder.add_edge("writer_node", END)
|
||||
return builder.compile()
|
||||
|
||||
|
||||
def _make_interrupt_graph():
|
||||
"""Graph that interrupts after the first node."""
|
||||
|
||||
def step_one(state: AgentState) -> dict[str, Any]:
|
||||
return {"value": state["value"] + "_step1", "items": ["step1"]}
|
||||
|
||||
def step_two(state: AgentState) -> dict[str, Any]:
|
||||
answer = interrupt("need approval")
|
||||
return {"value": state["value"] + f"_{answer}", "items": ["step2"]}
|
||||
|
||||
builder = StateGraph(AgentState)
|
||||
builder.add_node("step_one", step_one)
|
||||
builder.add_node("step_two", step_two)
|
||||
builder.add_edge(START, "step_one")
|
||||
builder.add_edge("step_one", "step_two")
|
||||
builder.add_edge("step_two", END)
|
||||
return builder.compile(checkpointer=InMemorySaver())
|
||||
|
||||
|
||||
def _make_error_subgraph():
|
||||
"""Graph with a subgraph that raises."""
|
||||
|
||||
def failing_node(state: AgentState) -> dict[str, Any]:
|
||||
raise ValueError("subgraph explosion")
|
||||
|
||||
inner_builder = StateGraph(AgentState)
|
||||
inner_builder.add_node("fail", failing_node)
|
||||
inner_builder.add_edge(START, "fail")
|
||||
inner_builder.add_edge("fail", END)
|
||||
inner = inner_builder.compile()
|
||||
|
||||
outer_builder = StateGraph(AgentState)
|
||||
outer_builder.add_node("inner", inner)
|
||||
outer_builder.add_edge(START, "inner")
|
||||
outer_builder.add_edge("inner", END)
|
||||
return outer_builder.compile()
|
||||
|
||||
|
||||
class _CustomPassthroughTransformer(StreamTransformer):
|
||||
required_stream_modes = ("custom",)
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {}
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
return True
|
||||
|
||||
|
||||
class _CounterTransformer(StreamTransformer):
|
||||
"""Custom transformer that counts values events via a StreamChannel."""
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._channel: StreamChannel[int] = StreamChannel("counter")
|
||||
self._count = 0
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"counter": self._channel}
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
if event["method"] == "values":
|
||||
self._count += 1
|
||||
self._channel.push(self._count)
|
||||
return True
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Sync end-to-end: all projections on nested graph
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestStreamV2E2ESync:
|
||||
def test_all_projections_nested_graph(self) -> None:
|
||||
"""Run a nested graph through stream_v2 and verify values + lifecycle."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
values_snapshots: list[dict[str, Any]] = []
|
||||
lifecycle_events: list[dict[str, Any]] = []
|
||||
for name, item in run.interleave("values", "lifecycle"):
|
||||
if name == "values":
|
||||
values_snapshots.append(item)
|
||||
elif name == "lifecycle":
|
||||
lifecycle_events.append(item)
|
||||
|
||||
assert len(values_snapshots) >= 1
|
||||
final = values_snapshots[-1]
|
||||
assert "routed" in final["items"]
|
||||
assert "processed" in final["items"]
|
||||
assert "_routed" in final["value"]
|
||||
assert "_processed" in final["value"]
|
||||
|
||||
assert len(lifecycle_events) >= 2
|
||||
started = [e for e in lifecycle_events if e["event"] == "started"]
|
||||
completed = [e for e in lifecycle_events if e["event"] == "completed"]
|
||||
assert len(started) >= 1
|
||||
assert len(completed) >= 1
|
||||
|
||||
def test_subgraph_handles_with_drill_down(self) -> None:
|
||||
"""Subgraph handles yield and support values drill-down."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
handles = []
|
||||
for handle in run.subgraphs:
|
||||
child_values = list(handle.values)
|
||||
handles.append(
|
||||
{
|
||||
"path": handle.path,
|
||||
"graph_name": handle.graph_name,
|
||||
"values_count": len(child_values),
|
||||
}
|
||||
)
|
||||
|
||||
assert len(handles) >= 1
|
||||
assert handles[0]["values_count"] >= 1
|
||||
|
||||
output = run.output
|
||||
assert output is not None
|
||||
assert "_routed" in output["value"]
|
||||
assert "_processed" in output["value"]
|
||||
|
||||
def test_raw_events_have_monotonic_seq(self) -> None:
|
||||
"""Raw protocol events have monotonically increasing seq numbers."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
events = list(run)
|
||||
assert len(events) > 0
|
||||
|
||||
seqs = [e["seq"] for e in events]
|
||||
for i in range(1, len(seqs)):
|
||||
assert seqs[i] > seqs[i - 1], f"seq not monotonic at {i}: {seqs}"
|
||||
|
||||
for event in events:
|
||||
assert event["type"] == "event"
|
||||
assert "method" in event
|
||||
assert isinstance(event["params"]["timestamp"], int)
|
||||
|
||||
def test_output_matches_final_values_snapshot(self) -> None:
|
||||
"""output property returns the same state as the last values snapshot."""
|
||||
run1 = _make_nested_graph().stream_v2({"value": "x", "items": []})
|
||||
snapshots = list(run1.values)
|
||||
final_via_values = snapshots[-1]
|
||||
|
||||
run2 = _make_nested_graph().stream_v2({"value": "x", "items": []})
|
||||
final_via_output = run2.output
|
||||
|
||||
assert final_via_values == final_via_output
|
||||
|
||||
def test_context_manager_and_abort(self) -> None:
|
||||
"""Context manager calls abort, marking the stream exhausted."""
|
||||
graph = _make_nested_graph()
|
||||
with graph.stream_v2({"value": "x", "items": []}) as run:
|
||||
first_val = next(iter(run.values))
|
||||
assert isinstance(first_val, dict)
|
||||
assert run._exhausted is True
|
||||
|
||||
def test_extensions_has_all_native_keys(self) -> None:
|
||||
"""Extensions dict exposes all native projection keys."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
_ = run.output
|
||||
|
||||
assert "values" in run.extensions
|
||||
assert "messages" in run.extensions
|
||||
assert "lifecycle" in run.extensions
|
||||
assert "subgraphs" in run.extensions
|
||||
assert run.values is run.extensions["values"]
|
||||
assert run.messages is run.extensions["messages"]
|
||||
assert run.lifecycle is run.extensions["lifecycle"]
|
||||
assert run.subgraphs is run.extensions["subgraphs"]
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Sync: messages projection
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestStreamV2E2EMessages:
|
||||
def test_messages_projection_from_invoke(self) -> None:
|
||||
"""Messages projection captures LLM calls via model.invoke() auto-routing."""
|
||||
graph = _make_messages_graph()
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
streams = list(run.messages)
|
||||
|
||||
assert len(streams) >= 1
|
||||
for stream in streams:
|
||||
assert isinstance(stream, ChatModelStream)
|
||||
assert streams[0].output.text == "hello world"
|
||||
|
||||
def test_messages_text_deltas(self) -> None:
|
||||
"""Text deltas from the messages projection concatenate correctly."""
|
||||
model = GenericFakeChatModel(messages=iter(["streamed answer"]))
|
||||
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": model.invoke(state["messages"])}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2({"messages": "go"})
|
||||
(stream,) = list(run.messages)
|
||||
assert "".join(stream.text) == "streamed answer"
|
||||
|
||||
def test_messages_from_whole_ai_message(self) -> None:
|
||||
"""Node returning AIMessage directly produces a complete stream."""
|
||||
|
||||
def return_msg(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": AIMessage(content="hardcoded", id="msg-1")}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("return_msg", return_msg)
|
||||
.add_edge(START, "return_msg")
|
||||
.add_edge("return_msg", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
(stream,) = list(run.messages)
|
||||
assert stream.output.text == "hardcoded"
|
||||
assert stream.message_id == "msg-1"
|
||||
|
||||
def test_root_messages_only_shows_root_scope(self) -> None:
|
||||
"""Root messages projection doesn't surface subgraph-scoped messages."""
|
||||
graph = _make_messages_subgraph()
|
||||
run = graph.stream_v2({"messages": ["hi"], "done": False})
|
||||
root_streams = list(run.messages)
|
||||
# The message is emitted inside the subgraph, so the root
|
||||
# messages projection (scoped to root namespace) doesn't see it.
|
||||
assert root_streams == []
|
||||
|
||||
def test_subgraph_handle_messages_drill_down(self) -> None:
|
||||
"""Drilling into subgraph handle's messages surfaces subgraph messages."""
|
||||
graph = _make_messages_subgraph()
|
||||
run = graph.stream_v2({"messages": ["hi"], "done": False})
|
||||
|
||||
found_messages = False
|
||||
for handle in run.subgraphs:
|
||||
child_messages = list(handle.messages)
|
||||
if child_messages:
|
||||
found_messages = True
|
||||
assert isinstance(child_messages[0], ChatModelStream)
|
||||
assert child_messages[0].output.text == "from subgraph"
|
||||
assert found_messages
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Sync: custom stream writer + custom transformer
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestStreamV2E2ECustom:
|
||||
def test_custom_events_with_passthrough_transformer(self) -> None:
|
||||
"""Custom StreamWriter events appear on the main log when a
|
||||
transformer declares the custom mode."""
|
||||
graph = _make_custom_writer_graph()
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
transformers=[_CustomPassthroughTransformer],
|
||||
)
|
||||
events = list(run)
|
||||
custom = [e for e in events if e["method"] == "custom"]
|
||||
assert len(custom) == 3
|
||||
steps = [e["params"]["data"]["step"] for e in custom]
|
||||
assert steps == ["start", "middle", "end"]
|
||||
|
||||
def test_custom_events_suppressed_without_transformer(self) -> None:
|
||||
"""Without a custom-mode transformer, custom events don't flow."""
|
||||
graph = _make_custom_writer_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
events = list(run)
|
||||
custom = [e for e in events if e["method"] == "custom"]
|
||||
assert custom == []
|
||||
|
||||
def test_custom_transformer_with_stream_channel(self) -> None:
|
||||
"""A custom transformer with a StreamChannel produces extension data."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
transformers=[_CounterTransformer],
|
||||
)
|
||||
|
||||
assert "counter" in run.extensions
|
||||
counter_iter = iter(run.extensions["counter"])
|
||||
_ = run.output
|
||||
counts = list(counter_iter)
|
||||
assert len(counts) >= 1
|
||||
assert all(isinstance(c, int) for c in counts)
|
||||
assert counts == sorted(counts)
|
||||
|
||||
def test_custom_channel_events_on_main_log(self) -> None:
|
||||
"""StreamChannel auto-forward injects custom:<name> events into the main log."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
transformers=[_CounterTransformer],
|
||||
)
|
||||
events = list(run)
|
||||
counter_events = [e for e in events if e["method"] == "custom:counter"]
|
||||
assert len(counter_events) >= 1
|
||||
assert all(isinstance(e["params"]["data"], int) for e in counter_events)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Sync: interrupt handling
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestStreamV2E2EInterrupt:
|
||||
def test_interrupt_sets_flags_and_surfaces_interrupts(self) -> None:
|
||||
"""Interrupted run has correct flags and interrupt payloads."""
|
||||
graph = _make_interrupt_graph()
|
||||
config: dict[str, Any] = {"configurable": {"thread_id": "int-1"}}
|
||||
run = graph.stream_v2({"value": "x", "items": []}, config)
|
||||
|
||||
output = run.output
|
||||
assert output is not None
|
||||
assert run.interrupted is True
|
||||
assert len(run.interrupts) > 0
|
||||
assert output["items"] == ["step1"]
|
||||
assert "_step1" in output["value"]
|
||||
|
||||
def test_interrupt_values_snapshot_has_partial_state(self) -> None:
|
||||
"""Values snapshots captured before the interrupt reflect partial state."""
|
||||
graph = _make_interrupt_graph()
|
||||
config: dict[str, Any] = {"configurable": {"thread_id": "int-2"}}
|
||||
run = graph.stream_v2({"value": "x", "items": []}, config)
|
||||
|
||||
snapshots = list(run.values)
|
||||
assert len(snapshots) >= 1
|
||||
last = snapshots[-1]
|
||||
assert "step1" in last["items"]
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Sync: error propagation
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestStreamV2E2EErrors:
|
||||
def test_subgraph_error_propagates_through_output(self) -> None:
|
||||
"""Error in a subgraph propagates through output."""
|
||||
graph = _make_error_subgraph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
with pytest.raises(ValueError, match="subgraph explosion"):
|
||||
_ = run.output
|
||||
|
||||
def test_subgraph_error_propagates_through_raw_events(self) -> None:
|
||||
graph = _make_error_subgraph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
with pytest.raises(ValueError, match="subgraph explosion"):
|
||||
list(run)
|
||||
|
||||
def test_error_subgraph_handle_status(self) -> None:
|
||||
"""Subgraph handle surfaces the error status."""
|
||||
graph = _make_error_subgraph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
handle = next(iter(run.subgraphs))
|
||||
with pytest.raises(RuntimeError, match="subgraph explosion"):
|
||||
_ = handle.output
|
||||
assert handle.status == "failed"
|
||||
assert handle.error == "subgraph explosion"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Async end-to-end
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
@NEEDS_CONTEXTVARS
|
||||
class TestStreamV2E2EAsync:
|
||||
async def test_all_projections_async(self) -> None:
|
||||
"""Async run exercises values projection."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
|
||||
values_snapshots = [s async for s in run.values]
|
||||
assert len(values_snapshots) >= 1
|
||||
final = values_snapshots[-1]
|
||||
assert "_routed" in final["value"]
|
||||
assert "_processed" in final["value"]
|
||||
|
||||
async def test_async_output(self) -> None:
|
||||
"""Async output returns the final state."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
output = await run.output()
|
||||
assert output is not None
|
||||
assert output["value"] == "x_routed_processed"
|
||||
assert "routed" in output["items"]
|
||||
assert "processed" in output["items"]
|
||||
|
||||
async def test_async_raw_events(self) -> None:
|
||||
"""Async raw event iteration yields well-formed ProtocolEvents."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
events = [e async for e in run]
|
||||
assert len(events) > 0
|
||||
seqs = [e["seq"] for e in events]
|
||||
for i in range(1, len(seqs)):
|
||||
assert seqs[i] > seqs[i - 1]
|
||||
|
||||
async def test_async_messages_projection(self) -> None:
|
||||
"""Async messages projection captures LLM streams."""
|
||||
model = GenericFakeChatModel(messages=iter(["async answer"]))
|
||||
|
||||
async def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": await model.ainvoke(state["messages"])}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = await graph.astream_v2({"messages": "hi"})
|
||||
streams = [s async for s in run.messages]
|
||||
assert len(streams) >= 1
|
||||
for s in streams:
|
||||
assert isinstance(s, AsyncChatModelStream)
|
||||
assert (await streams[0].output).text == "async answer"
|
||||
|
||||
async def test_async_interrupt(self) -> None:
|
||||
"""Async interrupted run has correct flags."""
|
||||
graph = _make_interrupt_graph()
|
||||
config: dict[str, Any] = {"configurable": {"thread_id": "async-int-1"}}
|
||||
run = await graph.astream_v2({"value": "x", "items": []}, config)
|
||||
|
||||
output = await run.output()
|
||||
assert output is not None
|
||||
assert await run.interrupted() is True
|
||||
assert len(await run.interrupts()) > 0
|
||||
|
||||
async def test_async_error_propagation(self) -> None:
|
||||
"""Async error from subgraph propagates through output."""
|
||||
graph = _make_error_subgraph()
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
with pytest.raises(ValueError, match="subgraph explosion"):
|
||||
await run.output()
|
||||
|
||||
async def test_async_context_manager(self) -> None:
|
||||
"""Async context manager calls abort on exit."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
async with run:
|
||||
_ = await anext(aiter(run.values))
|
||||
assert run._exhausted is True
|
||||
|
||||
async def test_async_extensions_present(self) -> None:
|
||||
"""Async run has all native extensions."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
_ = await run.output()
|
||||
assert "values" in run.extensions
|
||||
assert "messages" in run.extensions
|
||||
assert "lifecycle" in run.extensions
|
||||
assert "subgraphs" in run.extensions
|
||||
|
||||
async def test_async_custom_transformer(self) -> None:
|
||||
"""Async custom transformer with StreamChannel works."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_v2(
|
||||
{"value": "x", "items": []},
|
||||
transformers=[_CounterTransformer],
|
||||
)
|
||||
assert "counter" in run.extensions
|
||||
counter_cursor = aiter(run.extensions["counter"])
|
||||
_ = await run.output()
|
||||
counts = [c async for c in counter_cursor]
|
||||
assert len(counts) >= 1
|
||||
assert counts == sorted(counts)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Sync: combined projections stress test
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestStreamV2E2ECombined:
|
||||
def test_interleave_all_native_projections(self) -> None:
|
||||
"""Interleave values + messages + lifecycle without deadlock."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
seen_names: set[str] = set()
|
||||
for name, _item in run.interleave("values", "messages", "lifecycle"):
|
||||
seen_names.add(name)
|
||||
|
||||
assert "values" in seen_names
|
||||
assert "lifecycle" in seen_names
|
||||
|
||||
def test_multiple_custom_transformers(self) -> None:
|
||||
"""Multiple custom transformers can coexist."""
|
||||
|
||||
class TagTransformer(StreamTransformer):
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._channel: StreamChannel[str] = StreamChannel("tags")
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"tags": self._channel}
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
if event["method"] == "values":
|
||||
self._channel.push(
|
||||
f"tag:{event['params']['data'].get('value', '')}"
|
||||
)
|
||||
return True
|
||||
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
transformers=[_CounterTransformer, TagTransformer],
|
||||
)
|
||||
|
||||
assert "counter" in run.extensions
|
||||
assert "tags" in run.extensions
|
||||
|
||||
counter_iter = iter(run.extensions["counter"])
|
||||
tags_iter = iter(run.extensions["tags"])
|
||||
_ = run.output
|
||||
counts = list(counter_iter)
|
||||
tags = list(tags_iter)
|
||||
|
||||
assert len(counts) >= 1
|
||||
assert len(tags) >= 1
|
||||
assert all(t.startswith("tag:") for t in tags)
|
||||
|
||||
def test_two_sibling_subgraphs_both_discoverable(self) -> None:
|
||||
"""Two sequential subgraph invocations produce two handles."""
|
||||
|
||||
class _S(TypedDict):
|
||||
items: Annotated[list[str], operator.add]
|
||||
|
||||
def _item(name: str):
|
||||
def node(state: _S) -> dict[str, Any]:
|
||||
return {"items": [name]}
|
||||
|
||||
return node
|
||||
|
||||
inner_a = (
|
||||
StateGraph(_S)
|
||||
.add_node("add_a", _item("a"))
|
||||
.add_edge(START, "add_a")
|
||||
.add_edge("add_a", END)
|
||||
.compile()
|
||||
)
|
||||
inner_b = (
|
||||
StateGraph(_S)
|
||||
.add_node("add_b", _item("b"))
|
||||
.add_edge(START, "add_b")
|
||||
.add_edge("add_b", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
outer = (
|
||||
StateGraph(_S)
|
||||
.add_node("sub_a", inner_a)
|
||||
.add_node("sub_b", inner_b)
|
||||
.add_edge(START, "sub_a")
|
||||
.add_edge("sub_a", "sub_b")
|
||||
.add_edge("sub_b", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = outer.stream_v2({"items": []})
|
||||
handles = []
|
||||
for handle in run.subgraphs:
|
||||
list(handle.values)
|
||||
handles.append(handle)
|
||||
|
||||
assert len(handles) == 2
|
||||
names = [h.graph_name for h in handles]
|
||||
assert "sub_a" in names
|
||||
assert "sub_b" in names
|
||||
assert all(h.status == "completed" for h in handles)
|
||||
|
||||
output = run.output
|
||||
assert output is not None
|
||||
assert set(output["items"]) == {"a", "b"}
|
||||
|
||||
def test_lifecycle_matches_subgraph_handles(self) -> None:
|
||||
"""Lifecycle events and subgraph handles agree on discovered subgraphs."""
|
||||
run1 = _make_nested_graph().stream_v2({"value": "x", "items": []})
|
||||
handle_paths: list[tuple[str, ...]] = []
|
||||
for handle in run1.subgraphs:
|
||||
list(handle.values)
|
||||
handle_paths.append(handle.path)
|
||||
|
||||
run2 = _make_nested_graph().stream_v2({"value": "x", "items": []})
|
||||
lifecycle = list(run2.lifecycle)
|
||||
|
||||
started_ns = [
|
||||
tuple(e["namespace"]) for e in lifecycle if e["event"] == "started"
|
||||
]
|
||||
# Handle paths use format "graph_name:call_id", lifecycle namespaces
|
||||
# use the same format. Both should have the same graph_name prefix.
|
||||
handle_prefixes = {p[0].split(":")[0] for p in handle_paths}
|
||||
lifecycle_prefixes = {ns[0].split(":")[0] for ns in started_ns}
|
||||
assert handle_prefixes == lifecycle_prefixes
|
||||
|
||||
def test_values_plus_messages_plus_custom(self) -> None:
|
||||
"""Values, messages, and a custom transformer all produce data in one run."""
|
||||
model = GenericFakeChatModel(messages=iter(["combined test"]))
|
||||
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
return {"messages": model.invoke(state["messages"])}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("call_model", call_model)
|
||||
.add_edge(START, "call_model")
|
||||
.add_edge("call_model", END)
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2(
|
||||
{"messages": "hi"},
|
||||
transformers=[_CounterTransformer],
|
||||
)
|
||||
|
||||
counter_iter = iter(run.extensions["counter"])
|
||||
values_iter = iter(run.values)
|
||||
messages_iter = iter(run.messages)
|
||||
|
||||
values = list(values_iter)
|
||||
messages = list(messages_iter)
|
||||
counts = list(counter_iter)
|
||||
|
||||
assert len(values) >= 1
|
||||
assert len(messages) >= 1
|
||||
assert len(counts) >= 1
|
||||
assert messages[0].output.text == "combined test"
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user