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https://github.com/langchain-ai/langgraph.git
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Compare commits
29
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Nick Hollon
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7fbd9bc3d3 | ||
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Nick Hollon
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803a268b39 | ||
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dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>John Kennedy |
1142ebf921 | ||
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dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>John Kennedy |
37b34bdb1e | ||
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11e8d827eb | ||
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5fcebdd30a | ||
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173ef2ff44 | ||
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dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>John Kennedy |
98afc106a0 | ||
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80ef3ced0b | ||
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1629794658 | ||
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6242b99e06 | ||
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890147681d | ||
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336ad1239b | ||
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51f6cee1b1 | ||
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7173379740 | ||
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b2893bc778 | ||
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b8540449b4 | ||
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4811d42614 | ||
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f4b0cc6b9d | ||
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3be4e17a08 | ||
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84b222873d | ||
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dc8e917b0d | ||
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bcf2bd59d3 | ||
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0029b43137 | ||
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97249656b2 | ||
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745dd19622 | ||
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Sydney RunkleandGitHub
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c3ba590079 | ||
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Sydney RunkleandGitHub
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e533d00687 | ||
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Mason DaughertyandGitHub
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7eb2d8d6d8 |
@@ -116,8 +116,8 @@ jobs:
|
||||
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
|
||||
echo "Finished starting up langgraph-test-h"
|
||||
LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
|
||||
if [ "$LANGGRAPH_VERSION" != "1.1.2" ]; then
|
||||
echo "LANGGRAPH_VERSION != 1.1.2; $LANGGRAPH_VERSION"
|
||||
if [ "$LANGGRAPH_VERSION" != "1.1.5" ]; then
|
||||
echo "LANGGRAPH_VERSION != 1.1.5; $LANGGRAPH_VERSION"
|
||||
exit 1
|
||||
fi
|
||||
LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
|
||||
@@ -136,3 +136,33 @@ 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@v5
|
||||
uses: actions/configure-pages@v6
|
||||
|
||||
- name: Upload artifact
|
||||
uses: actions/upload-pages-artifact@v4
|
||||
|
||||
@@ -21,6 +21,7 @@ jobs:
|
||||
reopen-linked-prs:
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
actions: write
|
||||
pull-requests: write
|
||||
|
||||
steps:
|
||||
@@ -158,4 +159,37 @@ 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}`);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -339,37 +339,6 @@ 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,
|
||||
@@ -380,7 +349,6 @@ 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 = "0.0.1"
|
||||
version = "0.0.2"
|
||||
description = "Conformance test suite for LangGraph checkpointer implementations."
|
||||
authors = [{name = "William FH", email = "13333726+hinthornw@users.noreply.github.com"}]
|
||||
requires-python = ">=3.10"
|
||||
|
||||
Generated
+41
-41
@@ -231,7 +231,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.2.22"
|
||||
version = "1.2.28"
|
||||
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/b1/a3/c4cd6827a1df46c821e7214b7f7b7a28b189e6c9b84ef15c6d629c5e3179/langchain_core-1.2.22.tar.gz", hash = "sha256:8d8f726d03d3652d403da915126626bb6250747e8ba406537d849e68b9f5d058", size = 842487, upload-time = "2026-03-24T18:48:44.9Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c7/a6/2ffacf0f1a3788f250e75d0b52a24896c413be11be3a6d42bcdf46fbea48/langchain_core-1.2.22-py3-none-any.whl", hash = "sha256:7e30d586b75918e828833b9ec1efc25465723566845dd652c277baf751e9c04b", size = 506829, upload-time = "2026-03-24T18:48:43.286Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -263,7 +263,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint-conformance"
|
||||
version = "0.0.1"
|
||||
version = "0.0.2"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langgraph-checkpoint" },
|
||||
@@ -746,27 +746,27 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
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version = "0.15.7"
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version = "0.15.8"
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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" }
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|
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wheels = [
|
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Generated
+149
-125
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|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
"langgraph==1.1.2"
|
||||
"langgraph==1.1.5"
|
||||
]
|
||||
@@ -7,7 +7,7 @@ requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
"langchain-openai==1.0.0a2",
|
||||
"langchain-anthropic==1.0.0a5",
|
||||
"langgraph==1.1.2"
|
||||
"langgraph==1.1.5"
|
||||
]
|
||||
|
||||
[tool.uv]
|
||||
|
||||
@@ -159,8 +159,8 @@ def generate_schema():
|
||||
if k not in python_specific_props and k not in node_specific_props
|
||||
]
|
||||
|
||||
# Create Python schema with python_version and pip_config_file
|
||||
python_schema = {
|
||||
# Create legacy Python schema with python_version and pip_config_file
|
||||
legacy_python_schema = {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
# Include Python-specific properties
|
||||
@@ -170,10 +170,45 @@ 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 python_schema["properties"]:
|
||||
python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12", "3.13"]
|
||||
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",
|
||||
]
|
||||
|
||||
# Create Node.js schema with node_version
|
||||
node_schema = {
|
||||
@@ -186,6 +221,12 @@ 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"]:
|
||||
@@ -202,7 +243,11 @@ def generate_schema():
|
||||
]
|
||||
|
||||
# Replace the Config schema with a oneOf constraint
|
||||
config_schema["oneOf"] = [python_schema, node_schema]
|
||||
config_schema["oneOf"] = [
|
||||
legacy_python_schema,
|
||||
uv_source_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": "^1.1.36",
|
||||
"@langchain/langgraph": "^1.2.5"
|
||||
"@langchain/core": "^1.1.38",
|
||||
"@langchain/langgraph": "^1.2.6"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@eslint/eslintrc": "^3.3.5",
|
||||
"@eslint/js": "^10.0.1",
|
||||
"@tsconfig/recommended": "^1.0.13",
|
||||
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||||
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|
||||
"dotenv": "^17.3.1",
|
||||
"eslint": "^10.1.0",
|
||||
"eslint-config-prettier": "^10.1.8",
|
||||
|
||||
@@ -890,10 +890,10 @@
|
||||
"@jridgewell/resolve-uri" "^3.1.0"
|
||||
"@jridgewell/sourcemap-codec" "^1.4.14"
|
||||
|
||||
"@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==
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"@langchain/core@^1.1.38":
|
||||
version "1.1.38"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
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||||
dependencies:
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||||
"@cfworker/json-schema" "^4.0.2"
|
||||
"@standard-schema/spec" "^1.1.0"
|
||||
@@ -914,23 +914,23 @@
|
||||
dependencies:
|
||||
uuid "^10.0.0"
|
||||
|
||||
"@langchain/langgraph-sdk@~1.8.0":
|
||||
version "1.8.0"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.0.tgz#aa62fd641a4ef964a57cea7a7c11e662e8082fb8"
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||||
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||||
"@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"
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|
||||
dependencies:
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||||
"@types/json-schema" "^7.0.15"
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||||
p-queue "^9.0.1"
|
||||
p-retry "^7.1.1"
|
||||
uuid "^13.0.0"
|
||||
|
||||
"@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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integrity sha512-O/ROF1oaXN7VK6+WTpXsDvJp7L+YyTOHa9rt3L85jrvwxBqQQRIlRLOWT8ehB/ywE3M1K7WAWOAXbmorCYzviQ==
|
||||
"@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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integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
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||||
dependencies:
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||||
"@langchain/langgraph-checkpoint" "^1.0.1"
|
||||
"@langchain/langgraph-sdk" "~1.8.0"
|
||||
"@langchain/langgraph-sdk" "~1.8.1"
|
||||
"@standard-schema/spec" "1.1.0"
|
||||
uuid "^10.0.0"
|
||||
|
||||
@@ -1103,100 +1103,100 @@
|
||||
dependencies:
|
||||
"@types/yargs-parser" "*"
|
||||
|
||||
"@typescript-eslint/eslint-plugin@^8.57.2":
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version "8.57.2"
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resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.57.2.tgz#ad0dcefeca9c2ecbe09f730d478063666aee010b"
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version "8.58.0"
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resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
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dependencies:
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||||
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|
||||
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|
||||
"@typescript-eslint/visitor-keys" "8.58.0"
|
||||
ignore "^7.0.5"
|
||||
natural-compare "^1.4.0"
|
||||
ts-api-utils "^2.4.0"
|
||||
ts-api-utils "^2.5.0"
|
||||
|
||||
"@typescript-eslint/parser@^8.57.2":
|
||||
version "8.57.2"
|
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resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.57.2.tgz#b819955e39f976c0d4f95b5ed67fe22f85cd6898"
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||||
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||||
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||||
|
||||
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|
||||
@@ -4639,10 +4639,10 @@ to-regex-range@^5.0.1:
|
||||
dependencies:
|
||||
is-number "^7.0.0"
|
||||
|
||||
ts-api-utils@^2.4.0:
|
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||||
ts-jest@^29.4.6:
|
||||
version "29.4.6"
|
||||
|
||||
@@ -9,8 +9,8 @@
|
||||
},
|
||||
"dependencies": {
|
||||
"@js-monorepo-example/shared": "*",
|
||||
"@langchain/core": "^1.1.35",
|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
|
||||
@@ -17,7 +17,7 @@
|
||||
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
|
||||
},
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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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resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.35.tgz#4c681cc9af3d59d139f6272768dd30361dccd518"
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|
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dependencies:
|
||||
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|
||||
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|
||||
@@ -127,23 +127,23 @@
|
||||
dependencies:
|
||||
uuid "^10.0.0"
|
||||
|
||||
"@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"
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|
||||
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|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
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||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
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|
||||
version "1.2.5"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.5.tgz#f4285b77baee945092795c2989bdd6589dc5b142"
|
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|
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|
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resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
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|
||||
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|
||||
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|
||||
"@standard-schema/spec" "1.1.0"
|
||||
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|
||||
|
||||
@@ -167,35 +167,35 @@
|
||||
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resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.8.20.tgz#6ebc903fbfe31db85f67b84af69e84822765cbf4"
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||||
version "2.8.20"
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||||
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==
|
||||
optionalDependencies:
|
||||
"@turbo/darwin-64" "2.8.20"
|
||||
"@turbo/darwin-arm64" "2.8.20"
|
||||
"@turbo/linux-64" "2.8.20"
|
||||
"@turbo/linux-arm64" "2.8.20"
|
||||
"@turbo/windows-64" "2.8.20"
|
||||
"@turbo/windows-arm64" "2.8.20"
|
||||
"@turbo/darwin-64" "2.9.3"
|
||||
"@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"
|
||||
|
||||
type-check@^0.4.0, type-check@~0.4.0:
|
||||
version "0.4.0"
|
||||
|
||||
@@ -1 +1 @@
|
||||
__version__ = "0.4.19"
|
||||
__version__ = "0.4.21"
|
||||
|
||||
@@ -817,6 +817,48 @@ def dev(
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# validate command
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@OPT_CONFIG
|
||||
@cli.command(help="✅ Validate the LangGraph configuration file.")
|
||||
@log_command
|
||||
def validate(config: pathlib.Path):
|
||||
import json
|
||||
|
||||
try:
|
||||
with open(config) as f:
|
||||
raw_config = json.load(f)
|
||||
except json.JSONDecodeError as e:
|
||||
raise click.UsageError(f"Invalid JSON in {config}: {e.args[0]}") from None
|
||||
|
||||
# Check for unknown keys before validation so they show alongside any error.
|
||||
unknown_warnings = langgraph_cli.config.get_unknown_keys(raw_config)
|
||||
|
||||
try:
|
||||
config_json = langgraph_cli.config.validate_config_file(config)
|
||||
except (click.UsageError, ValueError) as e:
|
||||
click.secho(f"Error: {e}", fg="red", err=True)
|
||||
if unknown_warnings:
|
||||
click.echo(err=True)
|
||||
for warning in unknown_warnings:
|
||||
click.secho(f" warning: {warning}", fg="yellow", err=True)
|
||||
raise SystemExit(1) from None
|
||||
|
||||
num_graphs = len(config_json.get("graphs", {}))
|
||||
click.secho(
|
||||
f"Configuration file {config} is valid. "
|
||||
f"({num_graphs} graph{'s' if num_graphs != 1 else ''} found)",
|
||||
fg="green",
|
||||
)
|
||||
if unknown_warnings:
|
||||
click.echo()
|
||||
for warning in unknown_warnings:
|
||||
click.secho(f" warning: {warning}", fg="yellow")
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# new command
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
+272
-130
@@ -3,6 +3,7 @@ import json
|
||||
import os
|
||||
import pathlib
|
||||
import re
|
||||
import shlex
|
||||
import textwrap
|
||||
from collections import Counter
|
||||
from typing import Literal, NamedTuple
|
||||
@@ -10,6 +11,7 @@ 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"
|
||||
@@ -139,6 +141,14 @@ 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."""
|
||||
|
||||
@@ -157,6 +167,8 @@ 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(
|
||||
@@ -170,13 +182,18 @@ 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}") from None
|
||||
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
|
||||
|
||||
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", []),
|
||||
@@ -207,25 +224,51 @@ 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}."
|
||||
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}"'
|
||||
)
|
||||
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 (e.g., '3.11'). "
|
||||
"Patch version cannot be specified."
|
||||
"Use 'major.minor' format — patch version cannot be specified.\n\n"
|
||||
f' "python_version": "{fix}"'
|
||||
)
|
||||
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}."
|
||||
f"Minimum required version is {MIN_PYTHON_VERSION}.\n\n"
|
||||
f' "python_version": "{MIN_PYTHON_VERSION}"'
|
||||
)
|
||||
if "bullseye" in pyversion:
|
||||
raise click.UsageError(
|
||||
@@ -233,15 +276,19 @@ def validate_config(config: Config) -> Config:
|
||||
"Please use 'bookworm' or 'debian' instead."
|
||||
)
|
||||
|
||||
if not config["dependencies"]:
|
||||
if source_kind != "uv" and not config["dependencies"]:
|
||||
raise click.UsageError(
|
||||
"No dependencies found in config. "
|
||||
"Add at least one dependency to 'dependencies' list."
|
||||
"Consider using uv-based source management:\n\n"
|
||||
' "source": {"kind": "uv", "root": ".."}'
|
||||
)
|
||||
|
||||
if not config.get("graphs"):
|
||||
raise click.UsageError(
|
||||
"No graphs found in config. Add at least one graph to 'graphs' dictionary."
|
||||
"No graphs found in config. Add at least one graph, e.g.:\n"
|
||||
' "graphs": {\n'
|
||||
' "agent": "./my_agent/graph.py:graph"\n'
|
||||
" }"
|
||||
)
|
||||
|
||||
# Validate image_distro config
|
||||
@@ -254,15 +301,46 @@ def validate_config(config: Config) -> Config:
|
||||
if image_distro not in Distros.__args__:
|
||||
raise click.UsageError(
|
||||
f"Invalid image_distro: '{image_distro}'. "
|
||||
"Must be one of 'debian', 'wolfi', or 'bookworm'."
|
||||
f"Must be one of: {', '.join(repr(d) for d in Distros.__args__)}.\n\n"
|
||||
' "image_distro": "wolfi" (recommended)'
|
||||
)
|
||||
|
||||
if pip_installer := config.get("pip_installer"):
|
||||
if pip_installer not in ["auto", "pip", "uv"]:
|
||||
raise click.UsageError(
|
||||
f"Invalid pip_installer: '{pip_installer}'. "
|
||||
"Must be 'auto', 'pip', or 'uv'."
|
||||
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)
|
||||
raise click.UsageError(
|
||||
"source.kind 'uv' requires a different "
|
||||
f"config shape than dependency-based installs:\n{detail}"
|
||||
)
|
||||
|
||||
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"):
|
||||
@@ -306,6 +384,51 @@ 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:
|
||||
@@ -807,9 +930,65 @@ def _update_http_app_path(
|
||||
http_config["app"] = f"{module_str}:{attr_str}"
|
||||
|
||||
|
||||
def _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> 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 test_file(file_name):
|
||||
full_path = config_path.parent / file_name
|
||||
full_path = project_dir / file_name
|
||||
try:
|
||||
return full_path.is_file()
|
||||
except OSError:
|
||||
@@ -818,7 +997,7 @@ def _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> str:
|
||||
# inspired by `package-manager-detector`
|
||||
def get_pkg_manager_name():
|
||||
try:
|
||||
with open(config_path.parent / "package.json") as f:
|
||||
with open(project_dir / "package.json") as f:
|
||||
pkg = json.load(f)
|
||||
|
||||
if (pkg_manager_name := pkg.get("packageManager")) and isinstance(
|
||||
@@ -914,8 +1093,17 @@ 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"
|
||||
@@ -928,21 +1116,11 @@ def python_config_to_docker(
|
||||
else:
|
||||
raise ValueError(f"Invalid pip_installer: {pip_installer}")
|
||||
|
||||
# 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 ""
|
||||
)
|
||||
(
|
||||
local_reqs_pip_install,
|
||||
global_reqs_pip_install,
|
||||
pip_config_file_str,
|
||||
) = _build_python_install_commands(config, install_cmd)
|
||||
|
||||
# collect dependencies
|
||||
pypi_deps = [dep for dep in config["dependencies"] if not dep.startswith(".")]
|
||||
@@ -998,7 +1176,7 @@ RUN set -ex && \\
|
||||
'[build-system]' \\
|
||||
'requires = ["setuptools>=61"]' \\
|
||||
'build-backend = "setuptools.build_meta"'; do \\
|
||||
echo "$line" >> /deps/outer-{fullpath.name}/pyproject.toml; \\
|
||||
echo "$line" >> {shlex.quote(f"/deps/outer-{fullpath.name}/pyproject.toml")}; \\
|
||||
done
|
||||
# -- End of non-package dependency {fullpath.name} --"""
|
||||
for fullpath, (relpath, destpath) in local_deps.faux_pkgs.items()
|
||||
@@ -1017,56 +1195,50 @@ 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_node_str,
|
||||
pip_config_file_str,
|
||||
pip_pkgs_str,
|
||||
pip_reqs_str,
|
||||
local_pkgs_str,
|
||||
faux_pkgs_str,
|
||||
],
|
||||
install_steps,
|
||||
)
|
||||
)
|
||||
|
||||
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'])}'")
|
||||
env_vars = _build_runtime_env_vars(config)
|
||||
|
||||
js_inst_str: str = ""
|
||||
if (config.get("ui") or config.get("node_version")) and local_deps.working_dir:
|
||||
@@ -1074,7 +1246,8 @@ ADD {relpath} /deps/{name}
|
||||
[
|
||||
"# -- Installing JS dependencies --",
|
||||
f"ENV NODE_VERSION={config.get('node_version') or DEFAULT_NODE_VERSION}",
|
||||
f"RUN cd {local_deps.working_dir} && {_get_node_pm_install_cmd(config_path, config)} && tsx /api/langgraph_api/js/build.mts",
|
||||
f"WORKDIR {local_deps.working_dir}",
|
||||
f"RUN {_get_node_pm_install_cmd(config_path.parent)} && tsx /api/langgraph_api/js/build.mts",
|
||||
"# -- End of JS dependencies install --",
|
||||
]
|
||||
)
|
||||
@@ -1084,7 +1257,7 @@ ADD {relpath} /deps/{name}
|
||||
docker_file_contents = []
|
||||
|
||||
# Add syntax directive if we have additional contexts (requires BuildKit frontend.contexts capability)
|
||||
if local_deps.additional_contexts:
|
||||
if additional_contexts:
|
||||
docker_file_contents.extend(
|
||||
[
|
||||
"# syntax=docker/dockerfile:1.4",
|
||||
@@ -1094,6 +1267,13 @@ 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}",
|
||||
@@ -1103,13 +1283,7 @@ ADD {relpath} /deps/{name}
|
||||
installs,
|
||||
"",
|
||||
"# -- Installing all local dependencies --",
|
||||
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""",
|
||||
local_deps_install_str,
|
||||
"# -- End of local dependencies install --",
|
||||
os.linesep.join(env_vars),
|
||||
"",
|
||||
@@ -1126,16 +1300,6 @@ 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
|
||||
|
||||
|
||||
@@ -1149,6 +1313,10 @@ 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
|
||||
@@ -1160,60 +1328,32 @@ 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: 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'])}'")
|
||||
env_vars = _build_runtime_env_vars(config)
|
||||
|
||||
# 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_step = f"RUN cd {container_root} && {install_cmd}"
|
||||
install_workdir = container_root
|
||||
install_step = f"RUN {install_cmd}"
|
||||
|
||||
if build_command:
|
||||
build_step = f"RUN cd {faux_path} && {build_command}"
|
||||
build_step = f"RUN {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_step = f"RUN cd {faux_path} && {install_cmd}"
|
||||
install_workdir = faux_path
|
||||
install_step = f"RUN {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}",
|
||||
"",
|
||||
@@ -1221,11 +1361,13 @@ 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 {faux_path}",
|
||||
f"WORKDIR {build_workdir}",
|
||||
"",
|
||||
build_step,
|
||||
]
|
||||
|
||||
@@ -1,5 +1,7 @@
|
||||
from typing import Any, Literal, TypedDict
|
||||
|
||||
from typing_extensions import Required
|
||||
|
||||
Distros = Literal["debian", "wolfi", "bookworm"]
|
||||
MiddlewareOrders = Literal["auth_first", "middleware_first"]
|
||||
|
||||
@@ -9,20 +11,20 @@ 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.
|
||||
"""
|
||||
@@ -36,10 +38,10 @@ 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
|
||||
@@ -52,7 +54,7 @@ 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
|
||||
@@ -62,17 +64,17 @@ 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"]
|
||||
"""
|
||||
@@ -87,18 +89,18 @@ 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.
|
||||
"""
|
||||
@@ -129,11 +131,11 @@ 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": {
|
||||
@@ -178,11 +180,11 @@ 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."""
|
||||
@@ -216,7 +218,7 @@ 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.
|
||||
"""
|
||||
@@ -239,7 +241,7 @@ 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:
|
||||
{
|
||||
@@ -256,7 +258,7 @@ 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:
|
||||
[
|
||||
@@ -267,11 +269,11 @@ 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": {
|
||||
@@ -285,19 +287,19 @@ 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
|
||||
"""
|
||||
@@ -308,19 +310,19 @@ 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": {
|
||||
@@ -341,7 +343,7 @@ class AuthConfig(TypedDict, total=False):
|
||||
"""
|
||||
cache: CacheConfig
|
||||
"""Optional. Cache configuration for the server.
|
||||
|
||||
|
||||
Example:
|
||||
{
|
||||
"cache_keys": ["user_id", "workspace_id"],
|
||||
@@ -380,32 +382,32 @@ 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.
|
||||
"""
|
||||
|
||||
@@ -442,61 +444,61 @@ 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
|
||||
@@ -527,7 +529,7 @@ class HttpConfig(TypedDict, total=False):
|
||||
"""
|
||||
mount_prefix: str
|
||||
"""Optional. URL prefix to prepend to all the routes.
|
||||
|
||||
|
||||
Example:
|
||||
"/api"
|
||||
"""
|
||||
@@ -588,11 +590,33 @@ 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.
|
||||
"""
|
||||
|
||||
@@ -603,7 +627,7 @@ 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."""
|
||||
@@ -614,12 +638,12 @@ 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').
|
||||
"""
|
||||
@@ -627,22 +651,30 @@ 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', 'uv').
|
||||
|
||||
"""Optional. Python package installer to use ('auto', 'pip', or '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",
|
||||
@@ -652,12 +684,14 @@ 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]
|
||||
@@ -682,10 +716,10 @@ 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:
|
||||
@@ -694,13 +728,13 @@ 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).
|
||||
"""
|
||||
|
||||
@@ -733,7 +767,7 @@ 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.
|
||||
"""
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -17,6 +17,7 @@ dependencies = [
|
||||
"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"
|
||||
|
||||
@@ -184,13 +184,28 @@
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/UvSource"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
|
||||
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
@@ -234,6 +249,240 @@
|
||||
"graphs"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"python_version": {
|
||||
"type": "string",
|
||||
"description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
|
||||
"enum": [
|
||||
"3.11",
|
||||
"3.12",
|
||||
"3.13"
|
||||
]
|
||||
},
|
||||
"pip_config_file": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
|
||||
},
|
||||
"_INTERNAL_docker_tag": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Internal use only.\n"
|
||||
},
|
||||
"api_version": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
|
||||
},
|
||||
"auth": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$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": "#/$defs/WebhooksConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"graphs",
|
||||
"source"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
@@ -405,13 +654,28 @@
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/UvSource"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
|
||||
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
@@ -906,6 +1170,27 @@
|
||||
},
|
||||
"required": []
|
||||
},
|
||||
"UvSource": {
|
||||
"title": "UvSource",
|
||||
"description": "Deployment source rooted at a uv project or workspace.",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"kind": {
|
||||
"enum": [
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
"package": {
|
||||
"type": "string"
|
||||
},
|
||||
"root": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"kind"
|
||||
]
|
||||
},
|
||||
"StoreConfig": {
|
||||
"title": "StoreConfig",
|
||||
"description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",
|
||||
|
||||
@@ -184,13 +184,28 @@
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/UvSource"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
|
||||
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
@@ -234,6 +249,240 @@
|
||||
"graphs"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"python_version": {
|
||||
"type": "string",
|
||||
"description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
|
||||
"enum": [
|
||||
"3.11",
|
||||
"3.12",
|
||||
"3.13"
|
||||
]
|
||||
},
|
||||
"pip_config_file": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
|
||||
},
|
||||
"_INTERNAL_docker_tag": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Internal use only.\n"
|
||||
},
|
||||
"api_version": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
|
||||
},
|
||||
"auth": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$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": "#/$defs/WebhooksConfig"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"graphs",
|
||||
"source"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
@@ -405,13 +654,28 @@
|
||||
"pip_installer": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"auto",
|
||||
"pip",
|
||||
"uv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
]
|
||||
},
|
||||
"source": {
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/$defs/UvSource"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
|
||||
"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"
|
||||
},
|
||||
"store": {
|
||||
"anyOf": [
|
||||
@@ -906,6 +1170,27 @@
|
||||
},
|
||||
"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.",
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1 @@
|
||||
OPENAI_API_KEY=
|
||||
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"python_version": "3.12",
|
||||
"graphs": {
|
||||
"agent": "./src/agent/graph.py:graph"
|
||||
},
|
||||
"source": {
|
||||
"kind": "uv",
|
||||
"root": "../..",
|
||||
"package": "agent"
|
||||
},
|
||||
"env": ".env"
|
||||
}
|
||||
@@ -0,0 +1,20 @@
|
||||
[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"
|
||||
@@ -0,0 +1,31 @@
|
||||
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()
|
||||
@@ -0,0 +1,16 @@
|
||||
[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"]
|
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build-backend = "setuptools.build_meta"
|
||||
|
||||
[tool.setuptools]
|
||||
packages = ["shared"]
|
||||
|
||||
[tool.setuptools.package-dir]
|
||||
"shared" = "src/shared"
|
||||
@@ -0,0 +1,3 @@
|
||||
from .utils import get_dummy_message
|
||||
|
||||
__all__ = ["get_dummy_message"]
|
||||
@@ -0,0 +1,2 @@
|
||||
def get_dummy_message() -> str:
|
||||
return "Hello from shared library!"
|
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@@ -0,0 +1,22 @@
|
||||
[project]
|
||||
name = "uv-monorepo-example"
|
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version = "0.0.1"
|
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description = "uv workspace monorepo example for LangGraph CLI integration test"
|
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requires-python = ">=3.11"
|
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dependencies = [
|
||||
"langgraph>=0.6.0,<2",
|
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"langchain-core>=0.2.14",
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||||
]
|
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|
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[tool.uv.workspace]
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members = ["apps/*", "libs/*"]
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|
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[tool.uv.sources]
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shared = { workspace = true }
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[tool.uv]
|
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package = false
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[build-system]
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build-backend = "setuptools.build_meta"
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Generated
+893
@@ -0,0 +1,893 @@
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revision = 3
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[manifest]
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"agent",
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"uv-monorepo-example",
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[[package]]
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|
||||
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|
||||
]
|
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|
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[package.metadata]
|
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requires-dist = [
|
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{ name = "langchain-core", specifier = ">=0.2.14" },
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OPENAI_API_KEY=
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|
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{ url = "https://files.pythonhosted.org/packages/f6/49/fac46df5ad353d50535e118d6983069df68ca5908d4d65b8c466150a4ff1/zstandard-0.25.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:4203ce3b31aec23012d3a4cf4a2ed64d12fea5269c49aed5e4c3611b938e4088", size = 5359591, upload-time = "2025-09-14T22:18:16.465Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c2/38/f249a2050ad1eea0bb364046153942e34abba95dd5520af199aed86fbb49/zstandard-0.25.0-cp314-cp314-win32.whl", hash = "sha256:da469dc041701583e34de852d8634703550348d5822e66a0c827d39b05365b12", size = 444513, upload-time = "2025-09-14T22:18:20.61Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3a/43/241f9615bcf8ba8903b3f0432da069e857fc4fd1783bd26183db53c4804b/zstandard-0.25.0-cp314-cp314-win_amd64.whl", hash = "sha256:c19bcdd826e95671065f8692b5a4aa95c52dc7a02a4c5a0cac46deb879a017a2", size = 516118, upload-time = "2025-09-14T22:18:17.849Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f0/ef/da163ce2450ed4febf6467d77ccb4cd52c4c30ab45624bad26ca0a27260c/zstandard-0.25.0-cp314-cp314-win_arm64.whl", hash = "sha256:d7541afd73985c630bafcd6338d2518ae96060075f9463d7dc14cfb33514383d", size = 476940, upload-time = "2025-09-14T22:18:19.088Z" },
|
||||
]
|
||||
Generated
+494
-474
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,807 @@
|
||||
"""Protocol-native content-block message handler for StreamingHandler.
|
||||
|
||||
Emits structured content-block lifecycle events (message-start,
|
||||
content-block-start/delta/finish, message-finish) instead of raw
|
||||
``(AIMessageChunk, metadata)`` tuples. The existing
|
||||
:class:`~langgraph.pregel._messages.StreamMessagesHandler` is NOT
|
||||
modified — this handler is only activated when
|
||||
``__protocol_messages_stream`` is ``True`` in the run's configurable.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from collections.abc import AsyncIterator, Callable, Iterator, Sequence
|
||||
from dataclasses import dataclass, field
|
||||
from typing import Any, TypeVar, cast
|
||||
from uuid import UUID, uuid4
|
||||
|
||||
from langchain_core.callbacks import BaseCallbackHandler
|
||||
from langchain_core.messages import AIMessageChunk, BaseMessage
|
||||
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
|
||||
|
||||
from langgraph._internal._constants import NS_SEP
|
||||
from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
|
||||
from langgraph.pregel.protocol import StreamChunk
|
||||
from langgraph.stream._types import (
|
||||
ContentBlockDeltaData,
|
||||
ContentBlockFinishData,
|
||||
ContentBlockStartData,
|
||||
FinishReason,
|
||||
InvalidToolCallBlock,
|
||||
MessageErrorData,
|
||||
MessageStartData,
|
||||
ReasoningBlock,
|
||||
TextBlock,
|
||||
ToolCallBlock,
|
||||
UsageInfo,
|
||||
)
|
||||
|
||||
try:
|
||||
from langchain_core.tracers._streaming import _StreamingCallbackHandler
|
||||
except ImportError:
|
||||
_StreamingCallbackHandler = object # type: ignore
|
||||
|
||||
T = TypeVar("T")
|
||||
Meta = tuple[tuple[str, ...], dict[str, Any]]
|
||||
|
||||
PROTOCOL_MESSAGES_STREAM_KEY = "__protocol_messages_stream"
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Content-block accumulation helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
# A "compatible content block" is a dict matching one of the protocol block
|
||||
# TypedDicts (TextBlock, ReasoningBlock, ToolCallChunkBlock, etc.).
|
||||
CompatBlock = dict[str, Any]
|
||||
|
||||
|
||||
@dataclass
|
||||
class _ProtocolRunState:
|
||||
"""Per-run state for tracking the active message lifecycle."""
|
||||
|
||||
message_id: str | None = None
|
||||
started: bool = False
|
||||
blocks: dict[int, CompatBlock] = field(default_factory=dict)
|
||||
usage: dict[str, Any] | None = None
|
||||
|
||||
|
||||
def _accumulate_block(accumulated: CompatBlock, delta: CompatBlock) -> CompatBlock:
|
||||
"""Merge *delta* into *accumulated*, returning the updated block."""
|
||||
btype = accumulated.get("type", "text")
|
||||
if btype == "text" and delta.get("type", "text") == "text":
|
||||
accumulated["text"] = accumulated.get("text", "") + delta.get("text", "")
|
||||
elif btype == "reasoning" and delta.get("type") == "reasoning":
|
||||
accumulated["reasoning"] = accumulated.get("reasoning", "") + delta.get(
|
||||
"reasoning", ""
|
||||
)
|
||||
elif btype == "tool_call_chunk" and delta.get("type") == "tool_call_chunk":
|
||||
accumulated["args"] = accumulated.get("args", "") + delta.get("args", "")
|
||||
if delta.get("id") is not None:
|
||||
accumulated["id"] = delta["id"]
|
||||
if delta.get("name") is not None:
|
||||
accumulated["name"] = delta["name"]
|
||||
return accumulated
|
||||
|
||||
|
||||
def _delta_block(previous: CompatBlock, current: CompatBlock) -> CompatBlock | None:
|
||||
"""Compute the delta between *previous* and *current*.
|
||||
|
||||
Returns ``None`` if there is nothing new to emit.
|
||||
"""
|
||||
btype = current.get("type", "text")
|
||||
if btype == "text":
|
||||
prev_text = previous.get("text", "")
|
||||
cur_text = current.get("text", "")
|
||||
delta_text = cur_text[len(prev_text) :]
|
||||
if not delta_text:
|
||||
return None
|
||||
return TextBlock(type="text", text=delta_text)
|
||||
elif btype == "reasoning":
|
||||
prev_r = previous.get("reasoning", "")
|
||||
cur_r = current.get("reasoning", "")
|
||||
delta_r = cur_r[len(prev_r) :]
|
||||
if not delta_r:
|
||||
return None
|
||||
return ReasoningBlock(type="reasoning", reasoning=delta_r)
|
||||
elif btype == "tool_call_chunk":
|
||||
prev_args = previous.get("args", "")
|
||||
cur_args = current.get("args", "")
|
||||
delta_args = cur_args[len(prev_args) :]
|
||||
has_meta = current.get("id") is not None or current.get("name") is not None
|
||||
if not delta_args and not has_meta:
|
||||
return None
|
||||
result: CompatBlock = {"type": "tool_call_chunk", "args": delta_args}
|
||||
if current.get("id") is not None and previous.get("id") is None:
|
||||
result["id"] = current["id"]
|
||||
if current.get("name") is not None and previous.get("name") is None:
|
||||
result["name"] = current["name"]
|
||||
return result
|
||||
# Unrecognized block type — pass through unchanged
|
||||
return current
|
||||
|
||||
|
||||
def _finalize_block(block: CompatBlock) -> CompatBlock:
|
||||
"""Convert a ``tool_call_chunk`` block to a finalized ``tool_call`` or
|
||||
``invalid_tool_call`` block. Other block types pass through unchanged.
|
||||
"""
|
||||
if block.get("type") != "tool_call_chunk":
|
||||
return block
|
||||
raw_args = block.get("args", "{}")
|
||||
try:
|
||||
parsed_args = json.loads(raw_args) if raw_args else {}
|
||||
return ToolCallBlock(
|
||||
type="tool_call",
|
||||
id=block.get("id", ""),
|
||||
name=block.get("name", ""),
|
||||
args=parsed_args,
|
||||
)
|
||||
except (json.JSONDecodeError, TypeError):
|
||||
return InvalidToolCallBlock(
|
||||
type="invalid_tool_call",
|
||||
id=block.get("id"),
|
||||
name=block.get("name"),
|
||||
args=raw_args,
|
||||
error="Failed to parse tool call arguments as JSON",
|
||||
)
|
||||
|
||||
|
||||
def _normalize_finish_reason(value: Any) -> FinishReason:
|
||||
"""Map provider-specific stop reasons to protocol finish reasons."""
|
||||
if value == "length":
|
||||
return "length"
|
||||
if value == "content_filter":
|
||||
return "content_filter"
|
||||
if value in ("tool_use", "tool_calls"):
|
||||
return "tool_use"
|
||||
# "end_turn", "stop", None, and anything else → "stop"
|
||||
return "stop"
|
||||
|
||||
|
||||
def _accumulate_usage(
|
||||
current: dict[str, Any] | None, delta: Any
|
||||
) -> dict[str, Any] | None:
|
||||
"""Accumulate usage metadata from streamed chunks."""
|
||||
if not isinstance(delta, dict):
|
||||
return current
|
||||
if current is None:
|
||||
return dict(delta)
|
||||
for key in ("input_tokens", "output_tokens", "total_tokens", "cached_tokens"):
|
||||
if key in delta:
|
||||
current[key] = current.get(key, 0) + delta[key]
|
||||
# Merge detail dicts
|
||||
for detail_key in ("input_token_details", "output_token_details"):
|
||||
if detail_key in delta and isinstance(delta[detail_key], dict):
|
||||
if detail_key not in current:
|
||||
current[detail_key] = {}
|
||||
current[detail_key].update(delta[detail_key])
|
||||
return current
|
||||
|
||||
|
||||
def _to_protocol_usage(usage: dict[str, Any] | None) -> UsageInfo | None:
|
||||
"""Convert LangChain usage metadata to protocol ``UsageInfo``."""
|
||||
if usage is None:
|
||||
return None
|
||||
result: dict[str, Any] = {}
|
||||
if "input_tokens" in usage:
|
||||
result["input_tokens"] = usage["input_tokens"]
|
||||
if "output_tokens" in usage:
|
||||
result["output_tokens"] = usage["output_tokens"]
|
||||
if "total_tokens" in usage:
|
||||
result["total_tokens"] = usage["total_tokens"]
|
||||
if "cached_tokens" in usage:
|
||||
result["cached_tokens"] = usage["cached_tokens"]
|
||||
return UsageInfo(**result) if result else None
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Extracting content blocks from LangChain messages
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _extract_blocks_from_chunk(msg: AIMessageChunk) -> list[tuple[int, CompatBlock]]:
|
||||
"""Extract ``(index, block)`` pairs from an ``AIMessageChunk``.
|
||||
|
||||
LangChain stores content in several places:
|
||||
- ``content: str`` — a single text block at index 0
|
||||
- ``content: list[dict]`` — explicit content blocks with their own types
|
||||
- ``tool_call_chunks`` — separate list for streamed tool call deltas
|
||||
"""
|
||||
blocks: list[tuple[int, CompatBlock]] = []
|
||||
content = msg.content
|
||||
if isinstance(content, str) and content:
|
||||
blocks.append((0, dict(TextBlock(type="text", text=content))))
|
||||
elif isinstance(content, list):
|
||||
for i, item in enumerate(content):
|
||||
if not isinstance(item, dict):
|
||||
continue
|
||||
ctype = item.get("type", "")
|
||||
if ctype == "text" and item.get("text"):
|
||||
blocks.append(
|
||||
(
|
||||
item.get("index", i),
|
||||
dict(TextBlock(type="text", text=item["text"])),
|
||||
)
|
||||
)
|
||||
elif ctype in ("reasoning_content", "reasoning", "thinking"):
|
||||
reasoning_text = (
|
||||
item.get("reasoning_content")
|
||||
or item.get("reasoning")
|
||||
or item.get("thinking", "")
|
||||
)
|
||||
if reasoning_text:
|
||||
blocks.append(
|
||||
(
|
||||
item.get("index", i),
|
||||
dict(
|
||||
ReasoningBlock(
|
||||
type="reasoning", reasoning=reasoning_text
|
||||
)
|
||||
),
|
||||
)
|
||||
)
|
||||
|
||||
# Tool call chunks live in a separate field
|
||||
for tc in msg.tool_call_chunks or []:
|
||||
idx = tc.get("index")
|
||||
if idx is None:
|
||||
# Assign indices after text content blocks
|
||||
idx = len(blocks)
|
||||
block: CompatBlock = {"type": "tool_call_chunk", "args": tc.get("args", "")}
|
||||
if tc.get("id") is not None:
|
||||
block["id"] = tc["id"]
|
||||
if tc.get("name") is not None:
|
||||
block["name"] = tc["name"]
|
||||
blocks.append((idx, block))
|
||||
|
||||
return blocks
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# The handler
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class StreamProtocolMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
|
||||
"""Callback handler that emits content-block protocol events.
|
||||
|
||||
Activated when ``__protocol_messages_stream`` is ``True`` in the run's
|
||||
configurable metadata. Emits ``StreamChunk`` tuples of the form
|
||||
``(namespace, "messages", data)`` where *data* is one of the
|
||||
``MessagesData`` event types (``message-start``, ``content-block-start``,
|
||||
etc.).
|
||||
"""
|
||||
|
||||
run_inline = True
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
stream: Callable[[StreamChunk], None],
|
||||
subgraphs: bool,
|
||||
*,
|
||||
parent_ns: tuple[str, ...] | None = None,
|
||||
) -> None:
|
||||
self.stream = stream
|
||||
self.subgraphs = subgraphs
|
||||
self.parent_ns = parent_ns
|
||||
# Per-run metadata: run_id → (namespace, metadata_dict)
|
||||
self.metadata: dict[UUID, Meta] = {}
|
||||
# Per-run protocol state for streamed messages
|
||||
self.protocol_runs: dict[UUID, _ProtocolRunState] = {}
|
||||
# Stable message ID mapping: run_id → message_id
|
||||
self.stable_message_ids: dict[UUID, str] = {}
|
||||
# Seen message IDs for deduplication of chain-emitted messages
|
||||
self.seen: set[str | int] = set()
|
||||
|
||||
def _emit(self, meta: Meta, data: Any) -> None:
|
||||
"""Emit a protocol event as a StreamChunk.
|
||||
|
||||
The node name from *meta* is embedded at ``"__node__"`` so the
|
||||
stream pump can lift it into ``params.node`` without changing the
|
||||
``StreamChunk`` tuple shape.
|
||||
"""
|
||||
node = meta[1].get("langgraph_node")
|
||||
if node and isinstance(data, dict):
|
||||
data = {**data, "__node__": node}
|
||||
self.stream((meta[0], "messages", data))
|
||||
|
||||
# -- Chat model callbacks -----------------------------------------------
|
||||
|
||||
def on_chat_model_start(
|
||||
self,
|
||||
serialized: dict[str, Any],
|
||||
messages: list[list[BaseMessage]],
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
tags: list[str] | None = None,
|
||||
metadata: dict[str, Any] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
if metadata and (not tags or (TAG_NOSTREAM not in tags)):
|
||||
ns = tuple(cast(str, metadata["langgraph_checkpoint_ns"]).split(NS_SEP))[
|
||||
:-1
|
||||
]
|
||||
if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
|
||||
return
|
||||
if tags:
|
||||
if filtered := [t for t in tags if not t.startswith("seq:step")]:
|
||||
metadata["tags"] = filtered
|
||||
self.metadata[run_id] = (ns, metadata)
|
||||
self.protocol_runs[run_id] = _ProtocolRunState()
|
||||
|
||||
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:
|
||||
if not isinstance(chunk, ChatGenerationChunk):
|
||||
return
|
||||
meta = self.metadata.get(run_id)
|
||||
if meta is None:
|
||||
return
|
||||
state = self.protocol_runs.get(run_id)
|
||||
if state is None:
|
||||
return
|
||||
|
||||
msg = chunk.message
|
||||
if not isinstance(msg, AIMessageChunk):
|
||||
return
|
||||
|
||||
# Emit message-start on first token
|
||||
if not state.started:
|
||||
message_id = self._normalize_message_id(msg, run_id)
|
||||
state.message_id = message_id
|
||||
state.started = True
|
||||
start_data = dict(
|
||||
MessageStartData(
|
||||
event="message-start",
|
||||
role="ai",
|
||||
)
|
||||
)
|
||||
if message_id:
|
||||
start_data["message_id"] = message_id
|
||||
self._emit(meta, start_data)
|
||||
|
||||
# Extract content blocks from this chunk
|
||||
extracted = _extract_blocks_from_chunk(msg)
|
||||
for idx, delta_block in extracted:
|
||||
if idx not in state.blocks:
|
||||
# New block — emit content-block-start
|
||||
state.blocks[idx] = dict(delta_block)
|
||||
# Start block has empty content placeholder
|
||||
start_block = _make_start_block(delta_block)
|
||||
self._emit(
|
||||
meta,
|
||||
ContentBlockStartData(
|
||||
event="content-block-start",
|
||||
index=idx,
|
||||
content_block=start_block,
|
||||
),
|
||||
)
|
||||
# Then emit the first delta
|
||||
first_delta = _delta_block(
|
||||
_make_start_block(delta_block), state.blocks[idx]
|
||||
)
|
||||
if first_delta is not None:
|
||||
self._emit(
|
||||
meta,
|
||||
ContentBlockDeltaData(
|
||||
event="content-block-delta",
|
||||
index=idx,
|
||||
content_block=first_delta,
|
||||
),
|
||||
)
|
||||
else:
|
||||
# Existing block — compute delta, accumulate, emit
|
||||
previous = dict(state.blocks[idx])
|
||||
state.blocks[idx] = _accumulate_block(state.blocks[idx], delta_block)
|
||||
delta = _delta_block(previous, state.blocks[idx])
|
||||
if delta is not None:
|
||||
self._emit(
|
||||
meta,
|
||||
ContentBlockDeltaData(
|
||||
event="content-block-delta",
|
||||
index=idx,
|
||||
content_block=delta,
|
||||
),
|
||||
)
|
||||
|
||||
# Accumulate usage from chunk
|
||||
if msg.usage_metadata:
|
||||
state.usage = _accumulate_usage(state.usage, msg.usage_metadata)
|
||||
|
||||
def on_llm_end(
|
||||
self,
|
||||
response: LLMResult,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
meta = self.metadata.pop(run_id, None)
|
||||
state = self.protocol_runs.pop(run_id, None)
|
||||
if meta is None or state is None:
|
||||
return
|
||||
|
||||
# Extract finish reason and usage from the final generation
|
||||
finish_reason: FinishReason = "stop"
|
||||
final_usage = state.usage
|
||||
|
||||
if response.generations and response.generations[0]:
|
||||
gen = response.generations[0][0]
|
||||
if isinstance(gen, ChatGeneration):
|
||||
final_msg = gen.message
|
||||
# Get finish reason from response_metadata
|
||||
rm = getattr(final_msg, "response_metadata", {}) or {}
|
||||
raw_reason = rm.get("finish_reason") or rm.get("stop_reason")
|
||||
if raw_reason:
|
||||
finish_reason = _normalize_finish_reason(raw_reason)
|
||||
# If we have tool calls in the final message, infer tool_use
|
||||
if (
|
||||
finish_reason == "stop"
|
||||
and hasattr(final_msg, "tool_calls")
|
||||
and final_msg.tool_calls
|
||||
):
|
||||
finish_reason = "tool_use"
|
||||
# Get usage from final message if not accumulated from chunks
|
||||
if final_usage is None and hasattr(final_msg, "usage_metadata"):
|
||||
final_usage = (
|
||||
dict(final_msg.usage_metadata)
|
||||
if final_msg.usage_metadata
|
||||
else None
|
||||
)
|
||||
|
||||
# If we never got streaming tokens (non-streamed model call),
|
||||
# emit the full message lifecycle now
|
||||
if not state.started:
|
||||
self._emit_full_message(meta, final_msg, finish_reason, final_usage)
|
||||
return
|
||||
|
||||
# Close out any open content blocks
|
||||
for idx in sorted(state.blocks):
|
||||
finalized = _finalize_block(state.blocks[idx])
|
||||
self._emit(
|
||||
meta,
|
||||
ContentBlockFinishData(
|
||||
event="content-block-finish",
|
||||
index=idx,
|
||||
content_block=finalized,
|
||||
),
|
||||
)
|
||||
|
||||
# Emit message-finish
|
||||
finish_data: dict[str, Any] = {
|
||||
"event": "message-finish",
|
||||
"reason": finish_reason,
|
||||
}
|
||||
usage_info = _to_protocol_usage(final_usage)
|
||||
if usage_info is not None:
|
||||
finish_data["usage"] = usage_info
|
||||
self._emit(meta, finish_data)
|
||||
|
||||
# Track the message as seen for dedup
|
||||
if state.message_id:
|
||||
self.seen.add(state.message_id)
|
||||
|
||||
def on_llm_error(
|
||||
self,
|
||||
error: BaseException,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
meta = self.metadata.pop(run_id, None)
|
||||
state = self.protocol_runs.pop(run_id, None)
|
||||
self.stable_message_ids.pop(run_id, None)
|
||||
if meta is None or state is None:
|
||||
return
|
||||
if state.started:
|
||||
self._emit(
|
||||
meta,
|
||||
MessageErrorData(
|
||||
event="error",
|
||||
message=str(error),
|
||||
),
|
||||
)
|
||||
|
||||
# -- Chain callbacks (for node-level message dedup) ---------------------
|
||||
|
||||
def on_chain_start(
|
||||
self,
|
||||
serialized: dict[str, Any],
|
||||
inputs: dict[str, Any],
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
tags: list[str] | None = None,
|
||||
metadata: dict[str, Any] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
if (
|
||||
metadata
|
||||
and kwargs.get("name") == metadata.get("langgraph_node")
|
||||
and (not tags or TAG_HIDDEN not in tags)
|
||||
):
|
||||
ns = tuple(cast(str, metadata["langgraph_checkpoint_ns"]).split(NS_SEP))[
|
||||
:-1
|
||||
]
|
||||
if not self.subgraphs and len(ns) > 0:
|
||||
return
|
||||
self.metadata[run_id] = (ns, metadata)
|
||||
# Record input message IDs for deduplication
|
||||
self._record_seen_messages(inputs)
|
||||
|
||||
def on_chain_end(
|
||||
self,
|
||||
response: Any,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
meta = self.metadata.pop(run_id, None)
|
||||
if meta is None:
|
||||
return
|
||||
# Emit protocol events for any new messages in the node's output
|
||||
self._emit_chain_messages(meta, response)
|
||||
|
||||
def on_chain_error(
|
||||
self,
|
||||
error: BaseException,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
self.metadata.pop(run_id, None)
|
||||
|
||||
# -- Iterator taps (required by _StreamingCallbackHandler) ---------------
|
||||
|
||||
def tap_output_aiter(
|
||||
self, run_id: UUID, output: AsyncIterator[T]
|
||||
) -> AsyncIterator[T]:
|
||||
return output
|
||||
|
||||
def tap_output_iter(self, run_id: UUID, output: Iterator[T]) -> Iterator[T]:
|
||||
return output
|
||||
|
||||
# -- Internal helpers ---------------------------------------------------
|
||||
|
||||
def _normalize_message_id(self, msg: BaseMessage, run_id: UUID) -> str | None:
|
||||
"""Return a stable message ID for this run, creating one if needed."""
|
||||
msg_id = msg.id
|
||||
if msg_id is None:
|
||||
msg_id = self.stable_message_ids.get(run_id)
|
||||
if msg_id is None:
|
||||
msg_id = f"run-{run_id}"
|
||||
self.stable_message_ids[run_id] = msg_id
|
||||
# Mutate the message for consistency downstream
|
||||
if msg.id != msg_id:
|
||||
msg.id = msg_id
|
||||
return msg_id
|
||||
|
||||
def _emit_full_message(
|
||||
self,
|
||||
meta: Meta,
|
||||
msg: BaseMessage,
|
||||
finish_reason: FinishReason,
|
||||
usage: dict[str, Any] | None,
|
||||
role: str = "ai",
|
||||
) -> None:
|
||||
"""Emit a complete message lifecycle for a non-streamed model call."""
|
||||
message_id = msg.id or str(uuid4())
|
||||
if message_id in self.seen:
|
||||
return
|
||||
self.seen.add(message_id)
|
||||
|
||||
# message-start
|
||||
start_data = dict(
|
||||
MessageStartData(
|
||||
event="message-start",
|
||||
role=role,
|
||||
)
|
||||
)
|
||||
start_data["message_id"] = message_id
|
||||
self._emit(meta, start_data)
|
||||
|
||||
# Extract all blocks from the final message
|
||||
blocks = _extract_final_blocks(msg)
|
||||
for idx, block in blocks:
|
||||
# content-block-start with the full content
|
||||
self._emit(
|
||||
meta,
|
||||
ContentBlockStartData(
|
||||
event="content-block-start",
|
||||
index=idx,
|
||||
content_block=_make_start_block(block),
|
||||
),
|
||||
)
|
||||
# content-block-delta with the full content
|
||||
delta = _delta_block(_make_start_block(block), block)
|
||||
if delta is not None:
|
||||
self._emit(
|
||||
meta,
|
||||
ContentBlockDeltaData(
|
||||
event="content-block-delta",
|
||||
index=idx,
|
||||
content_block=delta,
|
||||
),
|
||||
)
|
||||
# content-block-finish
|
||||
finalized = _finalize_block(block)
|
||||
self._emit(
|
||||
meta,
|
||||
ContentBlockFinishData(
|
||||
event="content-block-finish",
|
||||
index=idx,
|
||||
content_block=finalized,
|
||||
),
|
||||
)
|
||||
|
||||
# message-finish
|
||||
finish_data: dict[str, Any] = {
|
||||
"event": "message-finish",
|
||||
"reason": finish_reason,
|
||||
}
|
||||
usage_info = _to_protocol_usage(usage)
|
||||
if usage_info is not None:
|
||||
finish_data["usage"] = usage_info
|
||||
self._emit(meta, finish_data)
|
||||
|
||||
def _record_seen_messages(self, obj: Any) -> None:
|
||||
"""Record message IDs from node inputs for deduplication."""
|
||||
if isinstance(obj, BaseMessage):
|
||||
if obj.id is not None:
|
||||
self.seen.add(obj.id)
|
||||
elif isinstance(obj, dict):
|
||||
for value in obj.values():
|
||||
self._record_seen_messages(value)
|
||||
elif isinstance(obj, Sequence) and not isinstance(obj, (str, bytes)):
|
||||
for item in obj:
|
||||
self._record_seen_messages(item)
|
||||
|
||||
def _emit_chain_messages(self, meta: Meta, response: Any) -> None:
|
||||
"""Emit protocol events for messages found in chain output."""
|
||||
from langgraph.types import Command
|
||||
|
||||
if isinstance(response, Command):
|
||||
self._emit_chain_messages(meta, response.update)
|
||||
elif isinstance(response, BaseMessage):
|
||||
self._emit_message_from_chain(meta, response)
|
||||
elif isinstance(response, Sequence) and not isinstance(response, (str, bytes)):
|
||||
for item in response:
|
||||
if isinstance(item, Command):
|
||||
self._emit_chain_messages(meta, item.update)
|
||||
elif isinstance(item, BaseMessage):
|
||||
self._emit_message_from_chain(meta, item)
|
||||
elif isinstance(response, dict):
|
||||
for value in response.values():
|
||||
if isinstance(value, BaseMessage):
|
||||
self._emit_message_from_chain(meta, value)
|
||||
elif isinstance(value, Sequence) and not isinstance(
|
||||
value, (str, bytes)
|
||||
):
|
||||
for item in value:
|
||||
if isinstance(item, BaseMessage):
|
||||
self._emit_message_from_chain(meta, item)
|
||||
|
||||
def _emit_message_from_chain(self, meta: Meta, msg: BaseMessage) -> None:
|
||||
"""Emit a full message lifecycle for a message from a chain output,
|
||||
deduplicating against previously-seen messages."""
|
||||
if msg.id is not None and msg.id in self.seen:
|
||||
return
|
||||
if msg.id is None:
|
||||
msg.id = str(uuid4())
|
||||
|
||||
# Determine role and finish reason
|
||||
role = "ai"
|
||||
if hasattr(msg, "type"):
|
||||
if msg.type == "human":
|
||||
role = "human"
|
||||
elif msg.type == "system":
|
||||
role = "system"
|
||||
|
||||
finish_reason: FinishReason = "stop"
|
||||
rm = getattr(msg, "response_metadata", {}) or {}
|
||||
raw_reason = rm.get("finish_reason") or rm.get("stop_reason")
|
||||
if raw_reason:
|
||||
finish_reason = _normalize_finish_reason(raw_reason)
|
||||
if finish_reason == "stop" and hasattr(msg, "tool_calls") and msg.tool_calls:
|
||||
finish_reason = "tool_use"
|
||||
|
||||
raw_usage = getattr(msg, "usage_metadata", None)
|
||||
usage = dict(raw_usage) if raw_usage else None
|
||||
|
||||
self._emit_full_message(meta, msg, finish_reason, usage, role=role)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Block extraction for finalized (non-streamed) messages
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _extract_final_blocks(msg: BaseMessage) -> list[tuple[int, CompatBlock]]:
|
||||
"""Extract ``(index, block)`` pairs from a finalized ``AIMessage``."""
|
||||
blocks: list[tuple[int, CompatBlock]] = []
|
||||
content = msg.content
|
||||
|
||||
if isinstance(content, str) and content:
|
||||
blocks.append((0, dict(TextBlock(type="text", text=content))))
|
||||
elif isinstance(content, list):
|
||||
for i, item in enumerate(content):
|
||||
if not isinstance(item, dict):
|
||||
continue
|
||||
ctype = item.get("type", "")
|
||||
if ctype == "text" and item.get("text"):
|
||||
blocks.append((i, dict(TextBlock(type="text", text=item["text"]))))
|
||||
elif ctype in ("reasoning_content", "reasoning", "thinking"):
|
||||
reasoning_text = (
|
||||
item.get("reasoning_content")
|
||||
or item.get("reasoning")
|
||||
or item.get("thinking", "")
|
||||
)
|
||||
if reasoning_text:
|
||||
blocks.append(
|
||||
(
|
||||
i,
|
||||
dict(
|
||||
ReasoningBlock(
|
||||
type="reasoning", reasoning=reasoning_text
|
||||
)
|
||||
),
|
||||
)
|
||||
)
|
||||
|
||||
# Finalized tool calls (already parsed, not chunks)
|
||||
for tc in getattr(msg, "tool_calls", None) or []:
|
||||
idx = len(blocks)
|
||||
blocks.append(
|
||||
(
|
||||
idx,
|
||||
dict(
|
||||
ToolCallBlock(
|
||||
type="tool_call",
|
||||
id=tc.get("id", ""),
|
||||
name=tc.get("name", ""),
|
||||
args=tc.get("args", {}),
|
||||
)
|
||||
),
|
||||
)
|
||||
)
|
||||
|
||||
return blocks
|
||||
|
||||
|
||||
def _make_start_block(block: CompatBlock) -> CompatBlock:
|
||||
"""Create an empty start placeholder for a content block."""
|
||||
btype = block.get("type", "text")
|
||||
if btype == "text":
|
||||
return TextBlock(type="text", text="")
|
||||
elif btype == "reasoning":
|
||||
return ReasoningBlock(type="reasoning", reasoning="")
|
||||
elif btype == "tool_call_chunk":
|
||||
result: CompatBlock = {"type": "tool_call_chunk", "args": ""}
|
||||
if "id" in block:
|
||||
result["id"] = block["id"]
|
||||
if "name" in block:
|
||||
result["name"] = block["name"]
|
||||
return result
|
||||
elif btype == "tool_call":
|
||||
# Already finalized — return as-is for start event
|
||||
return ToolCallBlock(
|
||||
type="tool_call",
|
||||
id=block.get("id", ""),
|
||||
name=block.get("name", ""),
|
||||
args=block.get("args", {}),
|
||||
)
|
||||
return dict(block)
|
||||
|
||||
|
||||
__all__ = ["PROTOCOL_MESSAGES_STREAM_KEY", "StreamProtocolMessagesHandler"]
|
||||
@@ -9,22 +9,51 @@ 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 Runtime
|
||||
from langgraph.runtime import ExecutionInfo, 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.
|
||||
|
||||
@@ -68,6 +97,7 @@ 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,
|
||||
{
|
||||
@@ -172,6 +202,7 @@ 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,
|
||||
{
|
||||
|
||||
@@ -128,6 +128,10 @@ from langgraph.pregel._loop import (
|
||||
SyncPregelLoop,
|
||||
)
|
||||
from langgraph.pregel._messages import StreamMessagesHandler
|
||||
from langgraph.pregel._messages_v2 import (
|
||||
PROTOCOL_MESSAGES_STREAM_KEY,
|
||||
StreamProtocolMessagesHandler,
|
||||
)
|
||||
from langgraph.pregel._read import DEFAULT_BOUND, PregelNode
|
||||
from langgraph.pregel._retry import RetryPolicy
|
||||
from langgraph.pregel._runner import PregelRunner
|
||||
@@ -2616,8 +2620,15 @@ class Pregel(
|
||||
# set up messages stream mode
|
||||
if "messages" in stream_modes:
|
||||
ns_ = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
|
||||
_msg_cls = (
|
||||
StreamProtocolMessagesHandler
|
||||
if config.get("configurable", {}).get(
|
||||
PROTOCOL_MESSAGES_STREAM_KEY, False
|
||||
)
|
||||
else StreamMessagesHandler
|
||||
)
|
||||
run_manager.inheritable_handlers.append(
|
||||
StreamMessagesHandler(
|
||||
_msg_cls(
|
||||
stream.put,
|
||||
subgraphs,
|
||||
parent_ns=tuple(ns_.split(NS_SEP)) if ns_ else None,
|
||||
@@ -2935,7 +2946,10 @@ class Pregel(
|
||||
True
|
||||
for h in run_manager.handlers
|
||||
if isinstance(h, _StreamingCallbackHandler)
|
||||
and not isinstance(h, StreamMessagesHandler)
|
||||
and not isinstance(
|
||||
h,
|
||||
(StreamMessagesHandler, StreamProtocolMessagesHandler),
|
||||
)
|
||||
),
|
||||
False,
|
||||
)
|
||||
@@ -2972,10 +2986,16 @@ class Pregel(
|
||||
config[CONF][CONFIG_KEY_CHECKPOINT_NS] = recast_checkpoint_ns(ns)
|
||||
# set up messages stream mode
|
||||
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))
|
||||
_msg_cls = (
|
||||
StreamProtocolMessagesHandler
|
||||
if config.get("configurable", {}).get(
|
||||
PROTOCOL_MESSAGES_STREAM_KEY, False
|
||||
)
|
||||
else StreamMessagesHandler
|
||||
)
|
||||
run_manager.inheritable_handlers.append(
|
||||
StreamMessagesHandler(
|
||||
_msg_cls(
|
||||
stream_put,
|
||||
subgraphs,
|
||||
parent_ns=tuple(ns_.split(NS_SEP)) if ns_ else None,
|
||||
|
||||
@@ -0,0 +1,49 @@
|
||||
"""Stream protocol types and infrastructure for LangGraph."""
|
||||
|
||||
from langgraph.stream._convert import STREAM_V2_MODES, convert_to_protocol_event
|
||||
from langgraph.stream._event_log import EventLog
|
||||
from langgraph.stream._mux import AsyncStreamMux, StreamMux
|
||||
from langgraph.stream._types import (
|
||||
InterruptPayload,
|
||||
ProtocolEvent,
|
||||
StreamTransformer,
|
||||
)
|
||||
from langgraph.stream.chat_model_stream import AsyncChatModelStream, ChatModelStream
|
||||
from langgraph.stream.run_stream import (
|
||||
AsyncGraphRunStream,
|
||||
AsyncSubgraphRunStream,
|
||||
GraphRunStream,
|
||||
SubgraphRunStream,
|
||||
create_async_graph_run_stream,
|
||||
create_graph_run_stream,
|
||||
)
|
||||
from langgraph.stream.stream_channel import StreamChannel, is_stream_channel
|
||||
from langgraph.stream.streaming_handler import StreamingHandler
|
||||
from langgraph.stream.transformers import (
|
||||
MessagesTransformer,
|
||||
ValuesTransformer,
|
||||
)
|
||||
|
||||
__all__ = [
|
||||
"STREAM_V2_MODES",
|
||||
"AsyncStreamMux",
|
||||
"AsyncChatModelStream",
|
||||
"AsyncGraphRunStream",
|
||||
"AsyncSubgraphRunStream",
|
||||
"ChatModelStream",
|
||||
"EventLog",
|
||||
"GraphRunStream",
|
||||
"InterruptPayload",
|
||||
"MessagesTransformer",
|
||||
"ProtocolEvent",
|
||||
"StreamChannel",
|
||||
"StreamMux",
|
||||
"SubgraphRunStream",
|
||||
"StreamTransformer",
|
||||
"StreamingHandler",
|
||||
"ValuesTransformer",
|
||||
"convert_to_protocol_event",
|
||||
"create_async_graph_run_stream",
|
||||
"create_graph_run_stream",
|
||||
"is_stream_channel",
|
||||
]
|
||||
@@ -0,0 +1,79 @@
|
||||
"""Convert raw ``StreamChunk`` tuples to ``ProtocolEvent`` envelopes.
|
||||
|
||||
Each ``StreamMode`` is mapped to a ``ProtocolEvent`` whose ``method``
|
||||
field matches the mode name and whose ``params.data`` wraps the
|
||||
original payload.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import time
|
||||
from typing import Any
|
||||
|
||||
from langgraph.stream._types import ProtocolEvent, _ProtocolEventParams
|
||||
from langgraph.types import StreamMode
|
||||
|
||||
#: All stream modes requested by ``StreamingHandler`` when calling the
|
||||
#: underlying ``stream()`` / ``astream()``.
|
||||
STREAM_V2_MODES: list[StreamMode] = [
|
||||
"values",
|
||||
"updates",
|
||||
"messages",
|
||||
"custom",
|
||||
"checkpoints",
|
||||
"tasks",
|
||||
"debug",
|
||||
]
|
||||
|
||||
_SUPPORTED_MODES: set[str] = set(STREAM_V2_MODES)
|
||||
|
||||
|
||||
def convert_to_protocol_event(
|
||||
ns: tuple[str, ...],
|
||||
mode: str,
|
||||
payload: Any,
|
||||
*,
|
||||
node: str | None = None,
|
||||
) -> ProtocolEvent | None:
|
||||
"""Convert a ``StreamChunk`` to a ``ProtocolEvent``.
|
||||
|
||||
Returns ``None`` for unsupported or unknown modes.
|
||||
|
||||
The ``seq`` field is left as ``0`` here; the :class:`StreamMux` is
|
||||
the sole seq assigner and overwrites it inside ``push()``.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
ns:
|
||||
Namespace tuple from the ``StreamChunk``.
|
||||
mode:
|
||||
Stream mode string (``"values"``, ``"updates"``, etc.).
|
||||
payload:
|
||||
The raw payload from the stream.
|
||||
node:
|
||||
Optional node name for provenance.
|
||||
"""
|
||||
if mode not in _SUPPORTED_MODES:
|
||||
return None
|
||||
|
||||
params: _ProtocolEventParams = {
|
||||
"namespace": list(ns),
|
||||
"timestamp": _now_ms(),
|
||||
"data": payload,
|
||||
}
|
||||
if node is not None:
|
||||
params["node"] = node
|
||||
|
||||
return ProtocolEvent(
|
||||
type="event",
|
||||
method=mode,
|
||||
params=params,
|
||||
)
|
||||
|
||||
|
||||
def _now_ms() -> int:
|
||||
"""Current time in milliseconds since epoch."""
|
||||
return int(time.time() * 1000)
|
||||
|
||||
|
||||
__all__ = ["STREAM_V2_MODES", "convert_to_protocol_event"]
|
||||
@@ -0,0 +1,136 @@
|
||||
"""Replayable append-only event buffer for StreamingHandler.
|
||||
|
||||
``EventLog`` stores protocol events in an ordered list and supports
|
||||
multiple independent async iterators, each with their own cursor
|
||||
offset. Subscribers that join mid-stream replay from a given offset
|
||||
without losing earlier events.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import threading
|
||||
from typing import Generic, TypeVar
|
||||
|
||||
T = TypeVar("T")
|
||||
|
||||
|
||||
def _resolve_future(fut: asyncio.Future[None]) -> None:
|
||||
"""Set a future's result if it hasn't already completed or been cancelled.
|
||||
|
||||
Runs on the event loop thread (scheduled via ``call_soon_threadsafe``)
|
||||
so that the ``done()`` check and ``set_result`` are atomic with
|
||||
respect to cancellation.
|
||||
"""
|
||||
if not fut.done():
|
||||
fut.set_result(None)
|
||||
|
||||
|
||||
class EventLog(Generic[T]):
|
||||
"""Append-only event buffer with cursor-based async iteration.
|
||||
|
||||
Multiple consumers can subscribe independently and each will see
|
||||
every event from their starting offset onward.
|
||||
"""
|
||||
|
||||
__slots__ = ("_items", "_closed", "_error", "_waiters", "_lock")
|
||||
|
||||
def __init__(self) -> None:
|
||||
self._items: list[T] = []
|
||||
self._closed = False
|
||||
self._error: BaseException | None = None
|
||||
self._waiters: list[asyncio.Future[None]] = []
|
||||
self._lock = threading.Lock()
|
||||
|
||||
# -- Producer API -------------------------------------------------------
|
||||
|
||||
def append(self, item: T) -> None:
|
||||
"""Append an event and wake all waiting consumers."""
|
||||
with self._lock:
|
||||
if self._closed:
|
||||
raise RuntimeError("EventLog is closed")
|
||||
self._items.append(item)
|
||||
self._wake_all()
|
||||
|
||||
def close(self) -> None:
|
||||
"""Mark the log as complete. Iterators will end gracefully."""
|
||||
with self._lock:
|
||||
self._closed = True
|
||||
self._wake_all()
|
||||
|
||||
def fail(self, error: BaseException) -> None:
|
||||
"""Mark the log as failed. Iterators will raise *error*."""
|
||||
with self._lock:
|
||||
self._error = error
|
||||
self._closed = True
|
||||
self._wake_all()
|
||||
|
||||
# -- Consumer API -------------------------------------------------------
|
||||
|
||||
def __aiter__(self) -> _Cursor[T]:
|
||||
"""Return a fresh cursor from the beginning of the log."""
|
||||
return _Cursor(self)
|
||||
|
||||
# -- Inspection ---------------------------------------------------------
|
||||
|
||||
def __len__(self) -> int:
|
||||
return len(self._items)
|
||||
|
||||
def __getitem__(self, index: int) -> T:
|
||||
return self._items[index]
|
||||
|
||||
@property
|
||||
def closed(self) -> bool:
|
||||
return self._closed
|
||||
|
||||
# -- Internal -----------------------------------------------------------
|
||||
|
||||
def _wake_all(self) -> None:
|
||||
for fut in self._waiters:
|
||||
try:
|
||||
fut.get_loop().call_soon_threadsafe(_resolve_future, fut)
|
||||
except RuntimeError:
|
||||
# Loop already closed — ignore.
|
||||
pass
|
||||
self._waiters.clear()
|
||||
|
||||
|
||||
class _Cursor(Generic[T]):
|
||||
"""An independent async iterator over an :class:`EventLog`."""
|
||||
|
||||
__slots__ = ("_log", "_offset")
|
||||
|
||||
def __init__(self, log: EventLog[T]) -> None:
|
||||
self._log = log
|
||||
self._offset = 0
|
||||
|
||||
def __aiter__(self) -> _Cursor[T]:
|
||||
return self
|
||||
|
||||
async def __anext__(self) -> T:
|
||||
while True:
|
||||
with self._log._lock:
|
||||
if self._offset < len(self._log._items):
|
||||
item = self._log._items[self._offset]
|
||||
self._offset += 1
|
||||
return item
|
||||
if self._log._error is not None:
|
||||
raise self._log._error
|
||||
if self._log._closed:
|
||||
raise StopAsyncIteration
|
||||
# Nothing available yet — register a waiter
|
||||
fut: asyncio.Future[None] = asyncio.get_running_loop().create_future()
|
||||
self._log._waiters.append(fut)
|
||||
# Wait outside the lock
|
||||
try:
|
||||
await fut
|
||||
except asyncio.CancelledError:
|
||||
with self._log._lock:
|
||||
try:
|
||||
self._log._waiters.remove(fut)
|
||||
except ValueError:
|
||||
pass # Already removed by _wake_all
|
||||
raise
|
||||
|
||||
|
||||
__all__ = ["EventLog"]
|
||||
@@ -0,0 +1,425 @@
|
||||
"""Central event dispatcher with transformer pipeline for StreamingHandler.
|
||||
|
||||
``StreamMux`` is the sync-safe core: it holds the main
|
||||
:class:`EventLog`, tracks discovered namespaces for subgraph stream
|
||||
creation, and pipes every event through the registered
|
||||
:class:`StreamTransformer` pipeline before appending it to the log.
|
||||
|
||||
``AsyncStreamMux`` extends the base with async subscription endpoints
|
||||
(output futures, namespace waiters, filtered event iteration).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import time
|
||||
from collections.abc import AsyncIterator
|
||||
from typing import Any
|
||||
|
||||
from langgraph.stream._event_log import EventLog
|
||||
from langgraph.stream._types import InterruptPayload, ProtocolEvent, StreamTransformer
|
||||
from langgraph.stream.stream_channel import StreamChannel, is_stream_channel
|
||||
|
||||
|
||||
class StreamMux:
|
||||
"""Sync-safe event dispatcher for the StreamingHandler infrastructure.
|
||||
|
||||
The mux owns the main event log, applies the transformer pipeline to
|
||||
every incoming event, and tracks namespace discovery and latest values.
|
||||
|
||||
For async subscription endpoints (output futures, namespace waiters,
|
||||
filtered event iteration), use :class:`AsyncStreamMux`.
|
||||
"""
|
||||
|
||||
def __init__(self, transformers: list[StreamTransformer] | None = None) -> None:
|
||||
self._event_log: EventLog[ProtocolEvent] = EventLog()
|
||||
self._transformers: list[StreamTransformer] = list(transformers or [])
|
||||
self._channels: list[StreamChannel[Any]] = []
|
||||
self._current_namespace: list[str] = []
|
||||
self._next_emit_seq: int = 0
|
||||
|
||||
# Namespace discovery: maps top-level ns segment → True
|
||||
self._discovered_ns: dict[str, bool] = {}
|
||||
|
||||
# Latest values per namespace (list-of-strings key)
|
||||
self._latest_values: dict[str, Any] = {}
|
||||
|
||||
# Interrupt tracking
|
||||
self._interrupts: list[InterruptPayload] = []
|
||||
self._interrupted = False
|
||||
|
||||
# Closed state
|
||||
self._closed = False
|
||||
self._error: BaseException | None = None
|
||||
|
||||
# -- Producer API -------------------------------------------------------
|
||||
|
||||
def push(self, event: ProtocolEvent) -> None:
|
||||
"""Push an event through the transformer pipeline and into the log.
|
||||
|
||||
Each registered transformer's ``process()`` is called in order.
|
||||
If any transformer returns ``False``, the event is suppressed
|
||||
(not appended to the main log).
|
||||
"""
|
||||
if self._closed:
|
||||
return
|
||||
|
||||
# Mux is the sole seq assigner — ensures all events in the log
|
||||
# (including those from StreamChannel forwarders) share a single
|
||||
# monotonically increasing counter.
|
||||
event["seq"] = self._next_emit_seq
|
||||
self._next_emit_seq += 1
|
||||
|
||||
# Track namespace
|
||||
ns = event["params"].get("namespace", [])
|
||||
if ns:
|
||||
top_segment = ns[0]
|
||||
if top_segment not in self._discovered_ns:
|
||||
self._discovered_ns[top_segment] = True
|
||||
self._on_ns_discovered(top_segment)
|
||||
|
||||
# Track values
|
||||
if event["method"] == "values":
|
||||
ns_key = _ns_key(ns)
|
||||
self._latest_values[ns_key] = event["params"]["data"]
|
||||
|
||||
# Track interrupts from values events
|
||||
if event["method"] == "values":
|
||||
data = event["params"]["data"]
|
||||
if isinstance(data, dict) and "__interrupt__" in data:
|
||||
interrupt_info = data["__interrupt__"]
|
||||
if isinstance(interrupt_info, (list, tuple)):
|
||||
for item in interrupt_info:
|
||||
iid = getattr(item, "id", None) or str(id(item))
|
||||
self._interrupts.append(
|
||||
InterruptPayload(
|
||||
interrupt_id=iid,
|
||||
payload=item,
|
||||
)
|
||||
)
|
||||
self._interrupted = True
|
||||
|
||||
# Run transformer pipeline
|
||||
self._current_namespace = ns
|
||||
keep = True
|
||||
for transformer in self._transformers:
|
||||
result = transformer.process(event)
|
||||
if result is False:
|
||||
keep = False
|
||||
self._current_namespace = []
|
||||
|
||||
# Append to main log if not suppressed
|
||||
if keep:
|
||||
self._event_log.append(event)
|
||||
|
||||
def close(self, output: Any = None) -> None:
|
||||
"""Close the mux, finalizing transformers and the event log."""
|
||||
if self._closed:
|
||||
return
|
||||
self._closed = True
|
||||
|
||||
# Finalize transformers (optional method)
|
||||
for transformer in self._transformers:
|
||||
if hasattr(transformer, "finalize"):
|
||||
transformer.finalize()
|
||||
|
||||
# Close wired channels
|
||||
for channel in self._channels:
|
||||
channel._close()
|
||||
|
||||
# Close the event log
|
||||
self._event_log.close()
|
||||
|
||||
def fail(self, error: BaseException) -> None:
|
||||
"""Fail the mux, propagating the error to transformers and channels."""
|
||||
if self._closed:
|
||||
return
|
||||
self._closed = True
|
||||
self._error = error
|
||||
|
||||
# Fail transformers (optional method)
|
||||
for transformer in self._transformers:
|
||||
if hasattr(transformer, "fail"):
|
||||
transformer.fail(error)
|
||||
|
||||
# Fail wired channels
|
||||
for channel in self._channels:
|
||||
channel._fail(error)
|
||||
|
||||
# Fail the event log
|
||||
self._event_log.fail(error)
|
||||
|
||||
# -- Inspection ---------------------------------------------------------
|
||||
|
||||
@property
|
||||
def interrupted(self) -> bool:
|
||||
return self._interrupted
|
||||
|
||||
@property
|
||||
def interrupts(self) -> list[InterruptPayload]:
|
||||
return list(self._interrupts)
|
||||
|
||||
@property
|
||||
def event_log(self) -> EventLog[ProtocolEvent]:
|
||||
return self._event_log
|
||||
|
||||
def get_latest_values(self, ns: list[str] | None = None) -> Any:
|
||||
"""Return the most recent values for a namespace."""
|
||||
return self._latest_values.get(_ns_key(ns or []))
|
||||
|
||||
# -- Internal -----------------------------------------------------------
|
||||
|
||||
def _on_ns_discovered(self, segment: str) -> None:
|
||||
"""Hook called when a new top-level namespace segment is discovered.
|
||||
|
||||
The base implementation is a no-op. :class:`AsyncStreamMux`
|
||||
overrides this to wake namespace waiters.
|
||||
"""
|
||||
|
||||
def register_transformer(self, transformer: StreamTransformer) -> None:
|
||||
"""Register a new transformer and replay all buffered events through it.
|
||||
|
||||
This is the safe way to add a late-arriving transformer after the mux
|
||||
has already started processing events. The sequence is:
|
||||
|
||||
1. Snapshot the current log length (no await → no gap possible in
|
||||
asyncio's cooperative threading model).
|
||||
2. Append the transformer so future ``push()`` calls reach it.
|
||||
3. Replay events ``[0, snapshot)`` through the transformer.
|
||||
4. If the mux is already closed, call ``finalize()`` immediately so
|
||||
the transformer's log/channel terminates cleanly.
|
||||
|
||||
``process()`` is only called for events whose namespace starts with
|
||||
any prefix — callers that need namespace filtering should do so inside
|
||||
their ``process()`` implementation, or wrap this call with their own
|
||||
filtering logic.
|
||||
"""
|
||||
snapshot = len(self._event_log)
|
||||
self._transformers.append(transformer)
|
||||
for i in range(snapshot):
|
||||
transformer.process(self._event_log[i])
|
||||
if self._closed:
|
||||
if hasattr(transformer, "finalize"):
|
||||
transformer.finalize()
|
||||
|
||||
def wire_channels(self, projection: Any) -> None:
|
||||
"""Scan *projection* for :class:`StreamChannel` instances and wire them.
|
||||
|
||||
For each ``StreamChannel`` found, registers a push callback that
|
||||
appends a :class:`ProtocolEvent` directly to the main event log
|
||||
with ``method`` set to the channel's name.
|
||||
|
||||
Channel events bypass the transformer pipeline (matching the JS
|
||||
implementation). They are visible to raw event iteration and
|
||||
remote SDK clients but not to other transformers' ``process()``.
|
||||
"""
|
||||
if projection is None:
|
||||
return
|
||||
items: dict[str, Any] = {}
|
||||
if isinstance(projection, dict):
|
||||
items = projection
|
||||
elif hasattr(projection, "__dict__"):
|
||||
items = vars(projection)
|
||||
for _key, value in items.items():
|
||||
if is_stream_channel(value):
|
||||
channel: StreamChannel[Any] = value
|
||||
self._channels.append(channel)
|
||||
|
||||
def _make_forwarder(ch: StreamChannel[Any]) -> Any:
|
||||
def _forward(item: Any) -> None:
|
||||
if self._closed:
|
||||
return
|
||||
# Append directly to the event log, bypassing
|
||||
# the transformer pipeline. This matches the JS
|
||||
# implementation and avoids re-entrancy bugs
|
||||
# (namespace clobbering, infinite recursion).
|
||||
self._event_log.append(
|
||||
ProtocolEvent(
|
||||
type="event",
|
||||
seq=self._next_emit_seq,
|
||||
method=ch.channel_name,
|
||||
params={
|
||||
"namespace": list(self._current_namespace),
|
||||
"timestamp": int(time.time() * 1000),
|
||||
"data": item,
|
||||
},
|
||||
)
|
||||
)
|
||||
self._next_emit_seq += 1
|
||||
|
||||
return _forward
|
||||
|
||||
channel._wire(_make_forwarder(channel))
|
||||
|
||||
|
||||
class AsyncStreamMux(StreamMux):
|
||||
"""Async extension of :class:`StreamMux`.
|
||||
|
||||
Adds output futures, namespace waiters, and async subscription
|
||||
endpoints (``subscribe_events``, ``subscribe_subgraphs``,
|
||||
``get_output_future``).
|
||||
"""
|
||||
|
||||
def __init__(self, transformers: list[StreamTransformer] | None = None) -> None:
|
||||
super().__init__(transformers)
|
||||
# Waiters for new namespace discovery
|
||||
self._ns_waiters: list[asyncio.Future[None]] = []
|
||||
# Output promise tracking
|
||||
self._output_futures: dict[str, asyncio.Future[Any]] = {}
|
||||
|
||||
# -- Producer API overrides ---------------------------------------------
|
||||
|
||||
def close(self, output: Any = None) -> None:
|
||||
"""Close the mux, resolving all output futures."""
|
||||
if self._closed:
|
||||
return
|
||||
|
||||
# Let the base class finalize transformers, channels, and event log
|
||||
super().close(output)
|
||||
|
||||
# Resolve output futures
|
||||
for ns_key, fut in self._output_futures.items():
|
||||
if not fut.done():
|
||||
value = self._latest_values.get(ns_key)
|
||||
try:
|
||||
fut.get_loop().call_soon_threadsafe(fut.set_result, value)
|
||||
except RuntimeError:
|
||||
pass
|
||||
|
||||
# Wake namespace waiters
|
||||
self._wake_ns_waiters()
|
||||
|
||||
def fail(self, error: BaseException) -> None:
|
||||
"""Fail the mux, rejecting all output futures."""
|
||||
if self._closed:
|
||||
return
|
||||
|
||||
# Let the base class fail transformers, channels, and event log
|
||||
super().fail(error)
|
||||
|
||||
# Reject output futures
|
||||
for fut in self._output_futures.values():
|
||||
if not fut.done():
|
||||
try:
|
||||
fut.get_loop().call_soon_threadsafe(fut.set_exception, error)
|
||||
except RuntimeError:
|
||||
pass
|
||||
|
||||
# Wake namespace waiters
|
||||
self._wake_ns_waiters()
|
||||
|
||||
# -- Consumer API -------------------------------------------------------
|
||||
|
||||
def subscribe_events(
|
||||
self, path: list[str] | None = None
|
||||
) -> AsyncIterator[ProtocolEvent]:
|
||||
"""Return an async iterator over events matching *path*.
|
||||
|
||||
If *path* is ``None`` or empty, all events are yielded.
|
||||
Otherwise, only events whose namespace starts with *path*
|
||||
are yielded.
|
||||
"""
|
||||
cursor = aiter(self._event_log)
|
||||
if not path:
|
||||
return cursor
|
||||
return _FilteredEventIterator(cursor, path)
|
||||
|
||||
async def subscribe_subgraphs(
|
||||
self, path: list[str] | None = None, offset: int = 0
|
||||
) -> AsyncIterator[str]:
|
||||
"""Yield top-level namespace segments as they are discovered.
|
||||
|
||||
Each yielded value is the first namespace segment of a newly
|
||||
discovered subgraph (e.g. ``"agent:0"``).
|
||||
"""
|
||||
yielded: set[str] = set()
|
||||
while True:
|
||||
# Yield any newly discovered namespaces
|
||||
for ns_segment in list(self._discovered_ns):
|
||||
if ns_segment not in yielded:
|
||||
# Filter by path prefix if specified
|
||||
if path:
|
||||
if not ns_segment.startswith(path[0]):
|
||||
continue
|
||||
yielded.add(ns_segment)
|
||||
yield ns_segment
|
||||
|
||||
if self._closed:
|
||||
return
|
||||
|
||||
# Wait for new namespaces
|
||||
loop = asyncio.get_running_loop()
|
||||
fut: asyncio.Future[None] = loop.create_future()
|
||||
self._ns_waiters.append(fut)
|
||||
await fut
|
||||
|
||||
def get_output_future(self, ns: list[str] | None = None) -> asyncio.Future[Any]:
|
||||
"""Get or create an output future for a namespace.
|
||||
|
||||
The future resolves to the latest ``values`` event data when
|
||||
the mux is closed.
|
||||
"""
|
||||
ns_key = _ns_key(ns or [])
|
||||
if ns_key not in self._output_futures:
|
||||
loop = asyncio.get_running_loop()
|
||||
self._output_futures[ns_key] = loop.create_future()
|
||||
|
||||
# If already closed, resolve immediately
|
||||
if self._closed:
|
||||
value = self._latest_values.get(ns_key)
|
||||
if self._error is not None:
|
||||
self._output_futures[ns_key].set_exception(self._error)
|
||||
else:
|
||||
self._output_futures[ns_key].set_result(value)
|
||||
|
||||
return self._output_futures[ns_key]
|
||||
|
||||
# -- Internal -----------------------------------------------------------
|
||||
|
||||
def _on_ns_discovered(self, segment: str) -> None:
|
||||
"""Wake namespace waiters when a new namespace is discovered."""
|
||||
self._wake_ns_waiters()
|
||||
|
||||
def _wake_ns_waiters(self) -> None:
|
||||
for fut in self._ns_waiters:
|
||||
if not fut.done():
|
||||
try:
|
||||
fut.get_loop().call_soon_threadsafe(fut.set_result, None)
|
||||
except RuntimeError:
|
||||
pass
|
||||
self._ns_waiters.clear()
|
||||
|
||||
|
||||
class _FilteredEventIterator:
|
||||
"""Async iterator that filters events by namespace prefix."""
|
||||
|
||||
__slots__ = ("_cursor", "_path")
|
||||
|
||||
def __init__(self, cursor: AsyncIterator[ProtocolEvent], path: list[str]) -> None:
|
||||
self._cursor = cursor
|
||||
self._path = path
|
||||
|
||||
def __aiter__(self) -> _FilteredEventIterator:
|
||||
return self
|
||||
|
||||
async def __anext__(self) -> ProtocolEvent:
|
||||
while True:
|
||||
event = await self._cursor.__anext__()
|
||||
ns = event["params"].get("namespace", [])
|
||||
if _ns_starts_with(ns, self._path):
|
||||
return event
|
||||
|
||||
|
||||
def _ns_key(ns: list[str] | tuple[str, ...]) -> str:
|
||||
"""Convert a namespace list to a hashable key."""
|
||||
return "|".join(ns)
|
||||
|
||||
|
||||
def _ns_starts_with(ns: list[str], prefix: list[str]) -> bool:
|
||||
"""Check if *ns* starts with *prefix*."""
|
||||
if len(ns) < len(prefix):
|
||||
return False
|
||||
return ns[: len(prefix)] == prefix
|
||||
|
||||
|
||||
__all__ = ["AsyncStreamMux", "StreamMux"]
|
||||
@@ -0,0 +1,167 @@
|
||||
"""Protocol types for StreamingHandler.
|
||||
|
||||
Re-exports CDDL-derived types from ``langchain-protocol`` and defines
|
||||
in-process-only types needed by the LangGraph streaming infrastructure.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Any, Protocol, runtime_checkable
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Re-exports from langchain-protocol (CDDL-derived)
|
||||
# ---------------------------------------------------------------------------
|
||||
# Primitives
|
||||
# Content blocks
|
||||
# Messages data
|
||||
# Tools data
|
||||
from langchain_protocol import (
|
||||
Annotation,
|
||||
Citation,
|
||||
ContentBlock,
|
||||
ContentBlockDeltaData,
|
||||
ContentBlockFinishData,
|
||||
ContentBlockStartData,
|
||||
FinalizedContentBlock,
|
||||
FinishReason,
|
||||
InvalidToolCallBlock,
|
||||
MessageErrorData,
|
||||
MessageFinishData,
|
||||
MessageMetadata,
|
||||
MessageRole,
|
||||
MessagesData,
|
||||
MessageStartData,
|
||||
MetadataScalar,
|
||||
Namespace,
|
||||
ReasoningBlock,
|
||||
TextBlock,
|
||||
ToolCallBlock,
|
||||
ToolCallChunkBlock,
|
||||
ToolErrorData,
|
||||
ToolFinishedData,
|
||||
ToolOutputDeltaData,
|
||||
ToolsData,
|
||||
ToolStartedData,
|
||||
UsageInfo,
|
||||
)
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# In-process types (not in the CDDL spec)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _ProtocolEventParams(TypedDict):
|
||||
"""Payload envelope for a :class:`ProtocolEvent`."""
|
||||
|
||||
namespace: Namespace
|
||||
timestamp: int
|
||||
node: NotRequired[str]
|
||||
data: Any
|
||||
|
||||
|
||||
class ProtocolEvent(TypedDict):
|
||||
"""A single protocol event emitted by the StreamingHandler infrastructure.
|
||||
|
||||
``method`` corresponds to a
|
||||
:pydata:`~langgraph.types.StreamMode` value (``"messages"``,
|
||||
``"updates"``, etc.).
|
||||
"""
|
||||
|
||||
type: str # always "event"
|
||||
seq: NotRequired[int] # assigned by StreamMux.push(); absent before push()
|
||||
method: str # StreamMode value
|
||||
params: _ProtocolEventParams
|
||||
|
||||
|
||||
@runtime_checkable
|
||||
class StreamTransformer(Protocol):
|
||||
"""Extension point for custom stream projections.
|
||||
|
||||
Implementations are registered with ``StreamingHandler`` and receive every
|
||||
:class:`ProtocolEvent` before it is appended to the event log.
|
||||
|
||||
Any :class:`~langgraph.stream.stream_channel.StreamChannel` instances
|
||||
returned by ``init()`` are automatically wired to the protocol event
|
||||
stream by the mux.
|
||||
|
||||
"""
|
||||
|
||||
def init(self) -> Any:
|
||||
"""Return the initial projection value.
|
||||
|
||||
Called once before the run. Any
|
||||
:class:`~langgraph.stream.stream_channel.StreamChannel` instances
|
||||
in the return value are automatically wired by the mux.
|
||||
"""
|
||||
...
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
"""Process an event.
|
||||
|
||||
Return ``True`` to keep the event in the log, ``False`` to suppress
|
||||
it.
|
||||
"""
|
||||
...
|
||||
|
||||
def finalize(self) -> None:
|
||||
"""Called once when the run completes successfully.
|
||||
|
||||
Optional — the mux auto-closes any :class:`StreamChannel` instances,
|
||||
so transformers that only use channels can omit this.
|
||||
"""
|
||||
...
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Called once when the run fails.
|
||||
|
||||
Optional — the mux auto-fails any :class:`StreamChannel` instances,
|
||||
so transformers that only use channels can omit this.
|
||||
"""
|
||||
...
|
||||
|
||||
|
||||
class InterruptPayload(TypedDict):
|
||||
"""An interrupt produced during a StreamingHandler run."""
|
||||
|
||||
interrupt_id: str
|
||||
payload: Any
|
||||
|
||||
|
||||
__all__ = [
|
||||
# Primitives (re-exported)
|
||||
"Namespace",
|
||||
"MessageRole",
|
||||
"MessageMetadata",
|
||||
"MetadataScalar",
|
||||
# Content blocks (re-exported)
|
||||
"TextBlock",
|
||||
"ReasoningBlock",
|
||||
"ToolCallBlock",
|
||||
"ToolCallChunkBlock",
|
||||
"InvalidToolCallBlock",
|
||||
"ContentBlock",
|
||||
"FinalizedContentBlock",
|
||||
"Annotation",
|
||||
"Citation",
|
||||
# Messages data (re-exported)
|
||||
"MessagesData",
|
||||
"MessageStartData",
|
||||
"ContentBlockStartData",
|
||||
"ContentBlockDeltaData",
|
||||
"ContentBlockFinishData",
|
||||
"MessageFinishData",
|
||||
"MessageErrorData",
|
||||
"FinishReason",
|
||||
"UsageInfo",
|
||||
# Tools data (re-exported)
|
||||
"ToolsData",
|
||||
"ToolStartedData",
|
||||
"ToolOutputDeltaData",
|
||||
"ToolFinishedData",
|
||||
"ToolErrorData",
|
||||
# In-process types
|
||||
"ProtocolEvent",
|
||||
"StreamTransformer",
|
||||
"InterruptPayload",
|
||||
]
|
||||
@@ -0,0 +1,402 @@
|
||||
"""Per-message streaming objects for StreamingHandler.
|
||||
|
||||
``ChatModelStream`` is the synchronous variant returned by
|
||||
``GraphRunStream.messages``. Properties (``.text``, ``.reasoning``,
|
||||
``.usage``) return final accumulated values.
|
||||
|
||||
``AsyncChatModelStream`` is the asynchronous variant returned by
|
||||
``AsyncGraphRunStream.messages``. Projections are dual
|
||||
async-iterable + awaitable (e.g. ``async for delta in msg.text``
|
||||
or ``full = await msg.text``).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
from collections.abc import Callable, Generator, Iterator
|
||||
from typing import Any
|
||||
|
||||
from langgraph.stream._types import UsageInfo
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Sync dual projection — iterable of deltas, str() for accumulated text
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _SyncDualProjection:
|
||||
"""Pump-driven sync iterable of string deltas.
|
||||
|
||||
Iterating yields incremental text fragments as the pump delivers
|
||||
new ``content-block-delta`` events. Calling ``str()`` drains the
|
||||
pump and returns the full accumulated string.
|
||||
|
||||
This is the sync counterpart of :class:`_DualProjection` (the async
|
||||
variant used by ``AsyncChatModelStream``).
|
||||
"""
|
||||
|
||||
__slots__ = ("_stream", "_attr", "_pump_one")
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
stream: ChatModelStream,
|
||||
attr: str,
|
||||
pump_one: Callable[[], bool],
|
||||
) -> None:
|
||||
self._stream = stream
|
||||
self._attr = attr
|
||||
self._pump_one = pump_one
|
||||
|
||||
def __iter__(self) -> Iterator[str]:
|
||||
prev_len = 0
|
||||
while True:
|
||||
cur = getattr(self._stream, self._attr)
|
||||
if len(cur) > prev_len:
|
||||
yield cur[prev_len:]
|
||||
prev_len = len(cur)
|
||||
if self._stream._done:
|
||||
return
|
||||
if not self._pump_one():
|
||||
# Source exhausted — yield any remaining
|
||||
cur = getattr(self._stream, self._attr)
|
||||
if len(cur) > prev_len:
|
||||
yield cur[prev_len:]
|
||||
return
|
||||
|
||||
def __str__(self) -> str:
|
||||
while not self._stream._done:
|
||||
if not self._pump_one():
|
||||
break
|
||||
return getattr(self._stream, self._attr)
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return repr(getattr(self._stream, self._attr))
|
||||
|
||||
def __bool__(self) -> bool:
|
||||
return bool(getattr(self._stream, self._attr))
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Sync variant
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class ChatModelStream:
|
||||
"""Synchronous per-message object for a single LLM response.
|
||||
|
||||
Created by :class:`~langgraph.stream.transformers.MessagesTransformer`
|
||||
and yielded by ``GraphRunStream.messages``. By the time the sync
|
||||
iterator yields a ``ChatModelStream``, the message lifecycle is
|
||||
complete and all properties contain their final values.
|
||||
|
||||
Projections:
|
||||
|
||||
- ``.text`` — accumulated text content (``str``)
|
||||
- ``.reasoning`` — accumulated reasoning content (``str``)
|
||||
- ``.usage`` — :class:`UsageInfo` or ``None``
|
||||
- ``.namespace`` / ``.node`` — provenance metadata
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
namespace: list[str] | None = None,
|
||||
node: str | None = None,
|
||||
message_id: str | None = None,
|
||||
) -> None:
|
||||
self._namespace = namespace or []
|
||||
self._node = node
|
||||
self._message_id = message_id
|
||||
|
||||
# Accumulated state
|
||||
self._text_acc = ""
|
||||
self._reasoning_acc = ""
|
||||
self._usage_value: UsageInfo | None = None
|
||||
self._done = False
|
||||
|
||||
# Optional pump for sync streaming (set via _bind_pump)
|
||||
self._pump_one: Callable[[], bool] | None = None
|
||||
|
||||
# -- Pump binding (called by GraphRunStream) ---------------------------
|
||||
|
||||
def _bind_pump(self, pump_one: Callable[[], bool]) -> None:
|
||||
"""Bind a pump function for sync token-by-token streaming.
|
||||
|
||||
When bound, ``.text`` and ``.reasoning`` return
|
||||
:class:`_SyncDualProjection` instances that drive the pump and
|
||||
yield deltas as the LLM produces tokens.
|
||||
"""
|
||||
self._pump_one = pump_one
|
||||
|
||||
# -- Public projections ------------------------------------------------
|
||||
|
||||
@property
|
||||
def text(self) -> str | _SyncDualProjection:
|
||||
"""Text content.
|
||||
|
||||
When a pump is bound (sync streaming), returns a
|
||||
:class:`_SyncDualProjection` — iterable of deltas,
|
||||
``str()`` for the full accumulated text. Otherwise returns
|
||||
the accumulated text string directly.
|
||||
"""
|
||||
if self._pump_one is not None and not self._done:
|
||||
return _SyncDualProjection(self, "_text_acc", self._pump_one)
|
||||
return self._text_acc
|
||||
|
||||
@property
|
||||
def reasoning(self) -> str | _SyncDualProjection:
|
||||
"""Reasoning content.
|
||||
|
||||
Same dual behavior as :attr:`text`.
|
||||
"""
|
||||
if self._pump_one is not None and not self._done:
|
||||
return _SyncDualProjection(self, "_reasoning_acc", self._pump_one)
|
||||
return self._reasoning_acc
|
||||
|
||||
@property
|
||||
def usage(self) -> UsageInfo | None:
|
||||
"""Usage info, available after the message finishes."""
|
||||
if self._pump_one is not None and not self._done:
|
||||
while not self._done:
|
||||
if not self._pump_one():
|
||||
break
|
||||
return self._usage_value
|
||||
|
||||
@property
|
||||
def namespace(self) -> list[str]:
|
||||
return self._namespace
|
||||
|
||||
@property
|
||||
def node(self) -> str | None:
|
||||
return self._node
|
||||
|
||||
@property
|
||||
def message_id(self) -> str | None:
|
||||
return self._message_id
|
||||
|
||||
@property
|
||||
def done(self) -> bool:
|
||||
return self._done
|
||||
|
||||
# -- Internal API (called by MessagesTransformer) ----------------------
|
||||
|
||||
def _push_content_block_delta(self, data: dict[str, Any]) -> None:
|
||||
"""Process a ``content-block-delta`` event."""
|
||||
block = data.get("content_block", {})
|
||||
btype = block.get("type", "")
|
||||
|
||||
if btype == "text":
|
||||
delta_text = block.get("text", "")
|
||||
if delta_text:
|
||||
self._text_acc += delta_text
|
||||
elif btype == "reasoning":
|
||||
delta_r = block.get("reasoning", "")
|
||||
if delta_r:
|
||||
self._reasoning_acc += delta_r
|
||||
|
||||
def _push_content_block_finish(self, data: dict[str, Any]) -> None:
|
||||
"""Process a ``content-block-finish`` event."""
|
||||
block = data.get("content_block", {})
|
||||
btype = block.get("type", "")
|
||||
|
||||
if btype == "text":
|
||||
full_text = block.get("text", "")
|
||||
if full_text and full_text != self._text_acc:
|
||||
self._text_acc = full_text
|
||||
elif btype == "reasoning":
|
||||
full_r = block.get("reasoning", "")
|
||||
if full_r and full_r != self._reasoning_acc:
|
||||
self._reasoning_acc = full_r
|
||||
|
||||
def _finish(self, data: dict[str, Any]) -> None:
|
||||
"""Process a ``message-finish`` event."""
|
||||
self._done = True
|
||||
self._usage_value = data.get("usage")
|
||||
|
||||
def _fail(self, error: BaseException) -> None:
|
||||
"""Process a ``message-error`` event."""
|
||||
self._done = True
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Async dual-projection helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _DualProjection:
|
||||
"""Async iterable of deltas that is also awaitable for the final value.
|
||||
|
||||
When iterated, yields delta values (e.g. text fragments) as they arrive.
|
||||
When awaited, returns the accumulated final value (e.g. full text string).
|
||||
"""
|
||||
|
||||
def __init__(self) -> None:
|
||||
self._deltas: list[Any] = []
|
||||
self._done = False
|
||||
self._error: BaseException | None = None
|
||||
self._waiters: list[asyncio.Future[None]] = []
|
||||
self._final_value: Any = None
|
||||
self._final_set = False
|
||||
|
||||
# -- Producer API (called by AsyncChatModelStream) ---------------------
|
||||
|
||||
def _push(self, delta: Any) -> None:
|
||||
"""Add a new delta value."""
|
||||
self._deltas.append(delta)
|
||||
self._wake()
|
||||
|
||||
def _finish(self, accumulated: Any) -> None:
|
||||
"""Set the final accumulated value and mark as done."""
|
||||
self._final_value = accumulated
|
||||
self._final_set = True
|
||||
self._done = True
|
||||
self._wake()
|
||||
|
||||
def _fail(self, error: BaseException) -> None:
|
||||
self._error = error
|
||||
self._done = True
|
||||
self._wake()
|
||||
|
||||
def _wake(self) -> None:
|
||||
for fut in self._waiters:
|
||||
if not fut.done():
|
||||
try:
|
||||
fut.get_loop().call_soon_threadsafe(fut.set_result, None)
|
||||
except RuntimeError:
|
||||
pass
|
||||
self._waiters.clear()
|
||||
|
||||
# -- Async iterable (yields deltas) ------------------------------------
|
||||
|
||||
def __aiter__(self) -> _DualProjectionIterator:
|
||||
return _DualProjectionIterator(self)
|
||||
|
||||
# -- Awaitable (returns final value) -----------------------------------
|
||||
|
||||
def __await__(self) -> Generator[Any, None, Any]:
|
||||
return self._await_impl().__await__()
|
||||
|
||||
async def _await_impl(self) -> Any:
|
||||
while not self._final_set:
|
||||
if self._error is not None:
|
||||
raise self._error
|
||||
loop = asyncio.get_running_loop()
|
||||
fut: asyncio.Future[None] = loop.create_future()
|
||||
self._waiters.append(fut)
|
||||
await fut
|
||||
if self._error is not None:
|
||||
raise self._error
|
||||
return self._final_value
|
||||
|
||||
|
||||
class _DualProjectionIterator:
|
||||
"""Async iterator over a :class:`_DualProjection`'s deltas."""
|
||||
|
||||
__slots__ = ("_proj", "_offset")
|
||||
|
||||
def __init__(self, proj: _DualProjection) -> None:
|
||||
self._proj = proj
|
||||
self._offset = 0
|
||||
|
||||
def __aiter__(self) -> _DualProjectionIterator:
|
||||
return self
|
||||
|
||||
async def __anext__(self) -> Any:
|
||||
while True:
|
||||
if self._offset < len(self._proj._deltas):
|
||||
item = self._proj._deltas[self._offset]
|
||||
self._offset += 1
|
||||
return item
|
||||
if self._proj._error is not None:
|
||||
raise self._proj._error
|
||||
if self._proj._done:
|
||||
raise StopAsyncIteration
|
||||
loop = asyncio.get_running_loop()
|
||||
fut: asyncio.Future[None] = loop.create_future()
|
||||
self._proj._waiters.append(fut)
|
||||
await fut
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Async variant
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class AsyncChatModelStream(ChatModelStream):
|
||||
"""Asynchronous per-message streaming object for a single LLM response.
|
||||
|
||||
Created by :class:`~langgraph.stream.transformers.MessagesTransformer`
|
||||
and yielded by ``AsyncGraphRunStream.messages``. Content-block events
|
||||
are fed into this object until ``message-finish``.
|
||||
|
||||
Projections:
|
||||
|
||||
- ``.text`` — async iterable of text deltas; awaitable for full text
|
||||
- ``.reasoning`` — async iterable of reasoning deltas; awaitable for
|
||||
full reasoning text
|
||||
- ``.usage`` — awaitable for :class:`UsageInfo`
|
||||
- ``.namespace`` / ``.node`` — provenance metadata
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
namespace: list[str] | None = None,
|
||||
node: str | None = None,
|
||||
message_id: str | None = None,
|
||||
) -> None:
|
||||
super().__init__(namespace=namespace, node=node, message_id=message_id)
|
||||
self._text_proj = _DualProjection()
|
||||
self._reasoning_proj = _DualProjection()
|
||||
self._usage_proj = _DualProjection()
|
||||
|
||||
# -- Public projections (override sync properties) ---------------------
|
||||
|
||||
@property
|
||||
def text(self) -> _DualProjection:
|
||||
"""Text content — async iterable of deltas, awaitable for full text."""
|
||||
return self._text_proj
|
||||
|
||||
@property
|
||||
def reasoning(self) -> _DualProjection:
|
||||
"""Reasoning content — async iterable of deltas, awaitable for full text."""
|
||||
return self._reasoning_proj
|
||||
|
||||
@property
|
||||
def usage(self) -> _DualProjection:
|
||||
"""Usage info — awaitable for :class:`UsageInfo`."""
|
||||
return self._usage_proj
|
||||
|
||||
# -- Internal API (extend base to also drive projections) --------------
|
||||
|
||||
def _push_content_block_delta(self, data: dict[str, Any]) -> None:
|
||||
"""Process a ``content-block-delta`` event."""
|
||||
super()._push_content_block_delta(data)
|
||||
block = data.get("content_block", {})
|
||||
btype = block.get("type", "")
|
||||
|
||||
if btype == "text":
|
||||
delta_text = block.get("text", "")
|
||||
if delta_text:
|
||||
self._text_proj._push(delta_text)
|
||||
elif btype == "reasoning":
|
||||
delta_r = block.get("reasoning", "")
|
||||
if delta_r:
|
||||
self._reasoning_proj._push(delta_r)
|
||||
|
||||
def _finish(self, data: dict[str, Any]) -> None:
|
||||
"""Process a ``message-finish`` event."""
|
||||
super()._finish(data)
|
||||
self._text_proj._finish(self._text_acc)
|
||||
self._reasoning_proj._finish(self._reasoning_acc)
|
||||
self._usage_proj._finish(self._usage_value)
|
||||
|
||||
def _fail(self, error: BaseException) -> None:
|
||||
"""Process a ``message-error`` event."""
|
||||
super()._fail(error)
|
||||
self._text_proj._fail(error)
|
||||
self._reasoning_proj._fail(error)
|
||||
self._usage_proj._fail(error)
|
||||
|
||||
|
||||
__all__ = ["AsyncChatModelStream", "ChatModelStream", "_SyncDualProjection"]
|
||||
@@ -0,0 +1,783 @@
|
||||
"""GraphRunStream and AsyncGraphRunStream for StreamingHandler.
|
||||
|
||||
These are the top-level objects returned by
|
||||
``StreamingHandler.stream()`` / ``StreamingHandler.astream()``.
|
||||
They wrap a :class:`StreamMux` and expose named
|
||||
projections (``.values``, ``.messages``, ``.subgraphs``, ``.output``)
|
||||
for ergonomic consumption.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
from collections.abc import AsyncIterator, Callable, Iterator
|
||||
from typing import Any
|
||||
|
||||
from langgraph.stream._convert import convert_to_protocol_event
|
||||
from langgraph.stream._event_log import EventLog
|
||||
from langgraph.stream._mux import AsyncStreamMux, StreamMux
|
||||
from langgraph.stream._types import InterruptPayload, ProtocolEvent, StreamTransformer
|
||||
from langgraph.stream.chat_model_stream import AsyncChatModelStream, ChatModelStream
|
||||
from langgraph.stream.transformers import MessagesTransformer, ValuesTransformer
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Values projection — dual async-iterable + awaitable
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _ValuesProjection:
|
||||
"""Async iterable of intermediate state snapshots; awaitable for final."""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
mux: AsyncStreamMux,
|
||||
values_transformer: ValuesTransformer,
|
||||
ns: list[str],
|
||||
mapper: Callable[[Any], Any] | None = None,
|
||||
) -> None:
|
||||
self._mux = mux
|
||||
self._values_transformer = values_transformer
|
||||
self._ns = ns
|
||||
self._mapper = mapper
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[Any]:
|
||||
return _ValuesIterator(self._values_transformer, self._ns, self._mapper)
|
||||
|
||||
def __await__(self) -> Any:
|
||||
return self._await_impl().__await__()
|
||||
|
||||
async def _await_impl(self) -> Any:
|
||||
value = await self._mux.get_output_future(self._ns)
|
||||
if value is not None and self._mapper is not None:
|
||||
return self._mapper(value)
|
||||
return value
|
||||
|
||||
|
||||
class _ValuesIterator:
|
||||
"""Filters the values log to events matching a namespace."""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
transformer: ValuesTransformer,
|
||||
ns: list[str],
|
||||
mapper: Callable[[Any], Any] | None = None,
|
||||
) -> None:
|
||||
self._cursor = aiter(transformer.values_log)
|
||||
self._ns = ns
|
||||
self._mapper = mapper
|
||||
|
||||
def __aiter__(self) -> _ValuesIterator:
|
||||
return self
|
||||
|
||||
async def __anext__(self) -> Any:
|
||||
while True:
|
||||
item = await self._cursor.__anext__()
|
||||
item_ns = item.get("namespace", [])
|
||||
if item_ns == self._ns:
|
||||
data = item["data"]
|
||||
if data is not None and self._mapper is not None:
|
||||
return self._mapper(data)
|
||||
return data
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Messages projection
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _MessagesProjection:
|
||||
"""Async iterable of :class:`AsyncChatModelStream` instances."""
|
||||
|
||||
def __init__(self, messages_transformer: MessagesTransformer) -> None:
|
||||
self._transformer = messages_transformer
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[AsyncChatModelStream]:
|
||||
return aiter(self._transformer.messages_log)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Subgraphs projection
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _SubgraphsProjection:
|
||||
"""Async iterable yielding :class:`AsyncSubgraphRunStream` for each discovered subgraph."""
|
||||
|
||||
def __init__(self, mux: AsyncStreamMux, ns: list[str]) -> None:
|
||||
self._mux = mux
|
||||
self._ns = ns
|
||||
|
||||
async def __aiter__(self) -> AsyncIterator[AsyncSubgraphRunStream]:
|
||||
async for segment in self._mux.subscribe_subgraphs(self._ns):
|
||||
child_ns = self._ns + [segment]
|
||||
child_transformers: list[StreamTransformer] = [
|
||||
ValuesTransformer(),
|
||||
MessagesTransformer(
|
||||
namespace=child_ns, stream_cls=AsyncChatModelStream
|
||||
),
|
||||
]
|
||||
for t in child_transformers:
|
||||
t.init()
|
||||
self._mux.register_transformer(t)
|
||||
|
||||
yield AsyncSubgraphRunStream(
|
||||
mux=self._mux,
|
||||
namespace=child_ns,
|
||||
transformers=child_transformers,
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# AsyncGraphRunStream
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class AsyncGraphRunStream:
|
||||
"""The async run stream returned by ``StreamingHandler.astream()``.
|
||||
|
||||
Async-iterable over all :class:`ProtocolEvent` instances. Named
|
||||
projections provide ergonomic access to values, messages, subgraphs,
|
||||
and output.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
mux: AsyncStreamMux,
|
||||
namespace: list[str] | None = None,
|
||||
transformers: list[StreamTransformer],
|
||||
abort_event: asyncio.Event | None = None,
|
||||
output_mapper: Callable[[Any], Any] | None = None,
|
||||
) -> None:
|
||||
self._mux = mux
|
||||
self._ns = namespace or []
|
||||
self._transformers = transformers
|
||||
self._abort_event = abort_event or asyncio.Event()
|
||||
self._output_mapper = output_mapper
|
||||
|
||||
# -- Transformer lookup -------------------------------------------------
|
||||
|
||||
def _find_transformer(self, name: str) -> StreamTransformer | None:
|
||||
for t in self._transformers:
|
||||
if getattr(t, "name", None) == name:
|
||||
return t
|
||||
return None
|
||||
|
||||
# -- Raw event iteration ------------------------------------------------
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[ProtocolEvent]:
|
||||
return self._mux.subscribe_events(self._ns)
|
||||
|
||||
# -- Named projections --------------------------------------------------
|
||||
|
||||
@property
|
||||
def values(self) -> _ValuesProjection:
|
||||
"""Async iterable of state snapshots; awaitable for final state."""
|
||||
t = self._find_transformer("values")
|
||||
return _ValuesProjection(self._mux, t, self._ns, self._output_mapper)
|
||||
|
||||
@property
|
||||
def output(self) -> _ValuesProjection:
|
||||
"""Awaitable for the final output state."""
|
||||
t = self._find_transformer("values")
|
||||
return _ValuesProjection(self._mux, t, self._ns, self._output_mapper)
|
||||
|
||||
@property
|
||||
def messages(self) -> _MessagesProjection:
|
||||
"""Async iterable of :class:`AsyncChatModelStream` instances."""
|
||||
t = self._find_transformer("messages")
|
||||
return _MessagesProjection(t)
|
||||
|
||||
def messages_from(self, node: str) -> _MessagesProjection:
|
||||
"""Async iterable of messages from a specific node."""
|
||||
filtered = MessagesTransformer(
|
||||
namespace=self._ns,
|
||||
node_filter=node,
|
||||
stream_cls=AsyncChatModelStream,
|
||||
)
|
||||
self._mux.register_transformer(filtered)
|
||||
return _MessagesProjection(filtered)
|
||||
|
||||
@property
|
||||
def subgraphs(self) -> _SubgraphsProjection:
|
||||
"""Async iterable of :class:`AsyncSubgraphRunStream` for child graphs."""
|
||||
return _SubgraphsProjection(self._mux, self._ns)
|
||||
|
||||
# -- State --------------------------------------------------------------
|
||||
|
||||
@property
|
||||
def interrupted(self) -> bool:
|
||||
return self._mux.interrupted
|
||||
|
||||
@property
|
||||
def interrupts(self) -> list[InterruptPayload]:
|
||||
return self._mux.interrupts
|
||||
|
||||
# -- Cancellation -------------------------------------------------------
|
||||
|
||||
def abort(self, reason: str | None = None) -> None:
|
||||
"""Signal cancellation of the run."""
|
||||
self._abort_event.set()
|
||||
|
||||
@property
|
||||
def signal(self) -> asyncio.Event:
|
||||
"""The underlying cancellation event."""
|
||||
return self._abort_event
|
||||
|
||||
# -- Extensions ---------------------------------------------------------
|
||||
|
||||
@property
|
||||
def extensions(self) -> dict[str, Any]:
|
||||
"""All transformer projections."""
|
||||
result: dict[str, Any] = {}
|
||||
for t in self._transformers:
|
||||
name = getattr(t, "name", None)
|
||||
value = getattr(t, "value", None)
|
||||
if name is not None and value is not None:
|
||||
result[name] = value
|
||||
return result
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# AsyncSubgraphRunStream
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class AsyncSubgraphRunStream(AsyncGraphRunStream):
|
||||
"""An :class:`AsyncGraphRunStream` for a child subgraph.
|
||||
|
||||
Adds ``.name`` and ``.index`` parsed from the last namespace segment
|
||||
(e.g. ``"researcher:2"`` → ``name="researcher"``, ``index=2``).
|
||||
"""
|
||||
|
||||
@property
|
||||
def name(self) -> str:
|
||||
if self._ns:
|
||||
segment = self._ns[-1]
|
||||
return segment.split(":")[0] if ":" in segment else segment
|
||||
return ""
|
||||
|
||||
@property
|
||||
def index(self) -> int:
|
||||
if self._ns:
|
||||
segment = self._ns[-1]
|
||||
if ":" in segment:
|
||||
try:
|
||||
return int(segment.split(":")[-1])
|
||||
except ValueError:
|
||||
pass
|
||||
return 0
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Async factory
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
async def create_async_graph_run_stream(
|
||||
source: AsyncIterator[tuple[tuple[str, ...], str, Any]],
|
||||
*,
|
||||
transformers: list[StreamTransformer] | None = None,
|
||||
abort_event: asyncio.Event | None = None,
|
||||
output_mapper: Callable[[Any], Any] | None = None,
|
||||
) -> AsyncGraphRunStream:
|
||||
"""Create an :class:`AsyncGraphRunStream` from a raw async stream source.
|
||||
|
||||
1. Creates a :class:`StreamMux`
|
||||
2. Registers built-in ``ValuesTransformer`` and ``MessagesTransformer``
|
||||
3. Registers user-supplied transformers
|
||||
4. Creates the root ``AsyncGraphRunStream``
|
||||
5. Starts a background pump task that reads from *source*,
|
||||
converts each chunk to a ``ProtocolEvent``, and pushes it
|
||||
through the mux
|
||||
6. Returns the ``AsyncGraphRunStream``
|
||||
"""
|
||||
abort = abort_event or asyncio.Event()
|
||||
|
||||
# Built-in transformers first, then user-supplied
|
||||
all_transformers: list[StreamTransformer] = [
|
||||
ValuesTransformer(),
|
||||
MessagesTransformer(stream_cls=AsyncChatModelStream),
|
||||
]
|
||||
all_transformers.extend(transformers or [])
|
||||
|
||||
# Initialize transformers, collecting projections to wire after mux creation
|
||||
projections: list[Any] = []
|
||||
for t in all_transformers:
|
||||
projection = t.init()
|
||||
if projection is not None:
|
||||
projections.append(projection)
|
||||
|
||||
mux = AsyncStreamMux(transformers=all_transformers)
|
||||
|
||||
# Wire any StreamChannel instances found in transformer projections
|
||||
for projection in projections:
|
||||
mux.wire_channels(projection)
|
||||
|
||||
# Create the root stream
|
||||
run_stream = AsyncGraphRunStream(
|
||||
mux=mux,
|
||||
transformers=all_transformers,
|
||||
abort_event=abort,
|
||||
output_mapper=output_mapper,
|
||||
)
|
||||
|
||||
# Start the pump task
|
||||
async def pump() -> None:
|
||||
try:
|
||||
async for ns, mode, payload in source:
|
||||
if abort.is_set():
|
||||
break
|
||||
# Extract node name embedded by StreamProtocolMessagesHandler.
|
||||
node: str | None = None
|
||||
if (
|
||||
mode == "messages"
|
||||
and isinstance(payload, dict)
|
||||
and "__node__" in payload
|
||||
):
|
||||
payload = dict(payload)
|
||||
node = payload.pop("__node__")
|
||||
event = convert_to_protocol_event(ns, mode, payload, node=node)
|
||||
if event is not None:
|
||||
mux.push(event)
|
||||
mux.close()
|
||||
except Exception as exc:
|
||||
mux.fail(exc)
|
||||
|
||||
asyncio.get_running_loop().create_task(pump())
|
||||
|
||||
return run_stream
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# GraphRunStream — returned by StreamingHandler.stream()
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _PumpDrivenLog:
|
||||
"""Wraps an ``EventLog`` so that iteration drives the sync pump.
|
||||
|
||||
Used by :attr:`GraphRunStream.extensions` to make extension logs
|
||||
iterable without requiring the caller to drain the stream first.
|
||||
"""
|
||||
|
||||
__slots__ = ("_log", "_pump_one")
|
||||
|
||||
def __init__(self, log: EventLog, pump_one: Callable[[], bool]) -> None:
|
||||
self._log = log
|
||||
self._pump_one = pump_one
|
||||
|
||||
def __iter__(self) -> Iterator[Any]:
|
||||
cursor = 0
|
||||
while True:
|
||||
if cursor < len(self._log):
|
||||
yield self._log[cursor]
|
||||
cursor += 1
|
||||
elif not self._pump_one():
|
||||
return
|
||||
|
||||
def __len__(self) -> int:
|
||||
return len(self._log)
|
||||
|
||||
def __getitem__(self, index: int) -> Any:
|
||||
return self._log[index]
|
||||
|
||||
|
||||
class GraphRunStream:
|
||||
"""Synchronous run stream returned by ``StreamingHandler.stream()``.
|
||||
|
||||
All projections are blocking / sync-iterable. Internally uses
|
||||
the same ``StreamMux`` and transformer pipeline, but without an
|
||||
async event loop.
|
||||
|
||||
The source iterator is consumed lazily: each projection pulls
|
||||
events from the source on demand rather than eagerly buffering
|
||||
everything upfront. This means callers see events as soon as
|
||||
they are produced by the underlying ``stream()`` call.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
mux: StreamMux,
|
||||
source: Iterator[tuple[tuple[str, ...], str, Any]],
|
||||
namespace: list[str] | None = None,
|
||||
transformers: list[StreamTransformer],
|
||||
output_mapper: Callable[[Any], Any] | None = None,
|
||||
) -> None:
|
||||
self._mux = mux
|
||||
self._source = source
|
||||
self._source_exhausted = False
|
||||
self._ns = namespace or []
|
||||
self._transformers = transformers
|
||||
self._output_mapper = output_mapper
|
||||
|
||||
# -- Transformer lookup -------------------------------------------------
|
||||
|
||||
def _find_transformer(self, name: str) -> StreamTransformer | None:
|
||||
for t in self._transformers:
|
||||
if getattr(t, "name", None) == name:
|
||||
return t
|
||||
return None
|
||||
|
||||
# -- Lazy pump ----------------------------------------------------------
|
||||
|
||||
def _pump_one(self) -> bool:
|
||||
"""Pull one item from the source, convert it, and push through the mux.
|
||||
|
||||
Returns ``True`` if an item was consumed, ``False`` if the source
|
||||
is exhausted (or was already exhausted).
|
||||
"""
|
||||
if self._source_exhausted:
|
||||
return False
|
||||
try:
|
||||
ns, mode, payload = next(self._source)
|
||||
except StopIteration:
|
||||
self._source_exhausted = True
|
||||
self._mux.close()
|
||||
return False
|
||||
except Exception as exc:
|
||||
self._source_exhausted = True
|
||||
self._mux.fail(exc)
|
||||
return False
|
||||
|
||||
node: str | None = None
|
||||
if mode == "messages" and isinstance(payload, dict) and "__node__" in payload:
|
||||
payload = dict(payload)
|
||||
node = payload.pop("__node__")
|
||||
event = convert_to_protocol_event(ns, mode, payload, node=node)
|
||||
if event is not None:
|
||||
self._mux.push(event)
|
||||
return True
|
||||
|
||||
def _pump_all(self) -> None:
|
||||
"""Drain the source iterator completely."""
|
||||
while self._pump_one():
|
||||
pass
|
||||
|
||||
# -- Helpers ------------------------------------------------------------
|
||||
|
||||
def _map(self, value: Any) -> Any:
|
||||
if value is not None and self._output_mapper is not None:
|
||||
return self._output_mapper(value)
|
||||
return value
|
||||
|
||||
# -- Raw event iteration (sync) -----------------------------------------
|
||||
|
||||
def __iter__(self) -> Iterator[ProtocolEvent]:
|
||||
for event in _PumpDrivenLog(self._mux.event_log, self._pump_one):
|
||||
ns = event["params"].get("namespace", [])
|
||||
if not self._ns or ns[: len(self._ns)] == self._ns:
|
||||
yield event
|
||||
|
||||
# -- Named projections (sync) -------------------------------------------
|
||||
|
||||
@property
|
||||
def output(self) -> Any:
|
||||
"""The final output state (blocking). Drains the source."""
|
||||
self._pump_all()
|
||||
return self._map(self._mux.get_latest_values(self._ns))
|
||||
|
||||
@property
|
||||
def values(self) -> Iterator[Any]:
|
||||
"""Sync iterable of intermediate state snapshots."""
|
||||
t = self._find_transformer("values")
|
||||
if t is None:
|
||||
return
|
||||
for item in _PumpDrivenLog(t.value, self._pump_one):
|
||||
if item.get("namespace", []) == self._ns:
|
||||
yield self._map(item["data"])
|
||||
|
||||
@property
|
||||
def messages(self) -> Iterator[ChatModelStream]:
|
||||
"""Sync iterable of :class:`ChatModelStream` instances.
|
||||
|
||||
Each ``ChatModelStream`` is yielded as soon as the LLM begins
|
||||
responding (on ``message-start``). Its ``.text`` and
|
||||
``.reasoning`` properties are pump-driven
|
||||
:class:`~langgraph.stream.chat_model_stream._SyncDualProjection`
|
||||
instances that yield deltas as tokens arrive::
|
||||
|
||||
for msg in run.messages:
|
||||
for delta in msg.text:
|
||||
print(delta, end="", flush=True)
|
||||
|
||||
If you don't need streaming, ``str(msg.text)`` pumps until
|
||||
the message completes and returns the full text.
|
||||
|
||||
After each message is consumed, the pump advances through
|
||||
non-message events (tool completions, values, etc.) so that
|
||||
other transformer state is up-to-date before the next message
|
||||
is yielded. This means you can check
|
||||
``run.extensions["tools"]`` between messages and see inline
|
||||
results.
|
||||
"""
|
||||
t = self._find_transformer("messages")
|
||||
if t is None:
|
||||
return
|
||||
log = t.value
|
||||
for msg in _PumpDrivenLog(log, self._pump_one):
|
||||
msg._bind_pump(self._pump_one)
|
||||
yield msg
|
||||
# Advance the pump past non-message events so other
|
||||
# transformers have up-to-date state before the next
|
||||
# message is yielded.
|
||||
prev_count = len(log)
|
||||
while len(log) == prev_count:
|
||||
if not self._pump_one():
|
||||
break
|
||||
|
||||
# -- Subgraphs ----------------------------------------------------------
|
||||
|
||||
@property
|
||||
def subgraphs(self) -> Iterator[SubgraphRunStream]:
|
||||
"""Sync iterable of :class:`SubgraphRunStream` for child graphs.
|
||||
|
||||
Namespaces are discovered lazily as events are pumped from the
|
||||
source. Each yielded stream has its own ``values``, ``messages``,
|
||||
and ``output`` projections scoped to the child namespace.
|
||||
|
||||
After yielding a subgraph, the caller may consume its projections
|
||||
(e.g. ``sub.values``), which pumps more events and can discover
|
||||
new namespaces. The loop re-checks for newly discovered
|
||||
namespaces after each yield before attempting another pump.
|
||||
"""
|
||||
yielded: set[str] = set()
|
||||
|
||||
while True:
|
||||
# Yield any newly discovered namespaces. Re-check after
|
||||
# each yield because consuming a subgraph's projections
|
||||
# can pump events that discover further namespaces.
|
||||
found_new = False
|
||||
for ns_segment in list(self._mux._discovered_ns):
|
||||
if ns_segment in yielded:
|
||||
continue
|
||||
found_new = True
|
||||
yielded.add(ns_segment)
|
||||
child_ns = self._ns + [ns_segment]
|
||||
child_transformers: list[StreamTransformer] = [
|
||||
ValuesTransformer(),
|
||||
MessagesTransformer(namespace=child_ns),
|
||||
]
|
||||
for t in child_transformers:
|
||||
t.init()
|
||||
self._mux.register_transformer(t)
|
||||
|
||||
yield SubgraphRunStream(
|
||||
mux=self._mux,
|
||||
namespace=child_ns,
|
||||
transformers=child_transformers,
|
||||
pump_one=self._pump_one,
|
||||
output_mapper=self._output_mapper,
|
||||
)
|
||||
|
||||
if found_new:
|
||||
continue # re-check before pumping
|
||||
|
||||
# No new namespaces — pump one event
|
||||
if not self._pump_one():
|
||||
break
|
||||
|
||||
# -- State --------------------------------------------------------------
|
||||
|
||||
@property
|
||||
def interrupted(self) -> bool:
|
||||
return self._mux.interrupted
|
||||
|
||||
@property
|
||||
def interrupts(self) -> list[InterruptPayload]:
|
||||
return self._mux.interrupts
|
||||
|
||||
# -- Extensions ---------------------------------------------------------
|
||||
|
||||
@property
|
||||
def extensions(self) -> dict[str, Any]:
|
||||
"""All transformer projections as pump-driven iterables."""
|
||||
result: dict[str, Any] = {}
|
||||
for t in self._transformers:
|
||||
name = getattr(t, "name", None)
|
||||
value = getattr(t, "value", None)
|
||||
if name is not None and value is not None:
|
||||
if isinstance(value, EventLog):
|
||||
result[name] = _PumpDrivenLog(value, self._pump_one)
|
||||
else:
|
||||
result[name] = value
|
||||
return result
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# SubgraphRunStream — sync child stream
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class SubgraphRunStream:
|
||||
"""Synchronous run stream for a child subgraph.
|
||||
|
||||
Shares the parent's :class:`StreamMux` and pump function. Has its
|
||||
own transformer set registered on the shared mux so that projections
|
||||
(``values``, ``messages``, ``output``) are scoped to the child
|
||||
namespace.
|
||||
|
||||
Adds ``.name`` and ``.index`` parsed from the last namespace segment
|
||||
(e.g. ``"researcher:2"`` → ``name="researcher"``, ``index=2``).
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
mux: StreamMux,
|
||||
namespace: list[str],
|
||||
transformers: list[StreamTransformer],
|
||||
pump_one: Callable[[], bool],
|
||||
output_mapper: Callable[[Any], Any] | None = None,
|
||||
) -> None:
|
||||
self._mux = mux
|
||||
self._ns = namespace
|
||||
self._transformers = transformers
|
||||
self._pump_one = pump_one
|
||||
self._output_mapper = output_mapper
|
||||
|
||||
# -- Identity -----------------------------------------------------------
|
||||
|
||||
@property
|
||||
def name(self) -> str:
|
||||
if self._ns:
|
||||
segment = self._ns[-1]
|
||||
return segment.split(":")[0] if ":" in segment else segment
|
||||
return ""
|
||||
|
||||
@property
|
||||
def index(self) -> int:
|
||||
if self._ns:
|
||||
segment = self._ns[-1]
|
||||
if ":" in segment:
|
||||
try:
|
||||
return int(segment.split(":")[-1])
|
||||
except ValueError:
|
||||
pass
|
||||
return 0
|
||||
|
||||
# -- Transformer lookup -------------------------------------------------
|
||||
|
||||
def _find_transformer(self, name: str) -> StreamTransformer | None:
|
||||
for t in self._transformers:
|
||||
if getattr(t, "name", None) == name:
|
||||
return t
|
||||
return None
|
||||
|
||||
# -- Helpers ------------------------------------------------------------
|
||||
|
||||
def _map(self, value: Any) -> Any:
|
||||
if value is not None and self._output_mapper is not None:
|
||||
return self._output_mapper(value)
|
||||
return value
|
||||
|
||||
def _pump_all(self) -> None:
|
||||
while self._pump_one():
|
||||
pass
|
||||
|
||||
# -- Raw event iteration (sync) -----------------------------------------
|
||||
|
||||
def __iter__(self) -> Iterator[ProtocolEvent]:
|
||||
for event in _PumpDrivenLog(self._mux.event_log, self._pump_one):
|
||||
ns = event["params"].get("namespace", [])
|
||||
if ns[: len(self._ns)] == self._ns:
|
||||
yield event
|
||||
|
||||
# -- Named projections (sync) -------------------------------------------
|
||||
|
||||
@property
|
||||
def output(self) -> Any:
|
||||
"""The final output state (blocking). Drains the source."""
|
||||
self._pump_all()
|
||||
return self._map(self._mux.get_latest_values(self._ns))
|
||||
|
||||
@property
|
||||
def values(self) -> Iterator[Any]:
|
||||
"""Sync iterable of intermediate state snapshots."""
|
||||
t = self._find_transformer("values")
|
||||
if t is None:
|
||||
return
|
||||
for item in _PumpDrivenLog(t.value, self._pump_one):
|
||||
if item.get("namespace", []) == self._ns:
|
||||
yield self._map(item["data"])
|
||||
|
||||
@property
|
||||
def messages(self) -> Iterator[ChatModelStream]:
|
||||
"""Sync iterable of :class:`ChatModelStream` instances.
|
||||
|
||||
Each ``ChatModelStream`` is yielded as soon as the LLM begins
|
||||
responding. See :attr:`GraphRunStream.messages` for usage.
|
||||
"""
|
||||
t = self._find_transformer("messages")
|
||||
if t is None:
|
||||
return
|
||||
log = t.value
|
||||
for msg in _PumpDrivenLog(log, self._pump_one):
|
||||
msg._bind_pump(self._pump_one)
|
||||
yield msg
|
||||
prev_count = len(log)
|
||||
while len(log) == prev_count:
|
||||
if not self._pump_one():
|
||||
break
|
||||
|
||||
# -- State --------------------------------------------------------------
|
||||
|
||||
@property
|
||||
def interrupted(self) -> bool:
|
||||
return self._mux.interrupted
|
||||
|
||||
@property
|
||||
def interrupts(self) -> list[InterruptPayload]:
|
||||
return self._mux.interrupts
|
||||
|
||||
|
||||
def create_graph_run_stream(
|
||||
source: Iterator[tuple[tuple[str, ...], str, Any]],
|
||||
*,
|
||||
transformers: list[StreamTransformer] | None = None,
|
||||
output_mapper: Callable[[Any], Any] | None = None,
|
||||
) -> GraphRunStream:
|
||||
"""Create a :class:`GraphRunStream` from a sync stream source.
|
||||
|
||||
The source iterator is stored on the returned stream and consumed
|
||||
lazily as projections are iterated.
|
||||
|
||||
Built-in transformers (values, messages) are always registered first
|
||||
so that user-supplied transformers see events after built-in
|
||||
processing.
|
||||
"""
|
||||
# Built-in transformers first, then user-supplied
|
||||
all_transformers: list[StreamTransformer] = [
|
||||
ValuesTransformer(),
|
||||
MessagesTransformer(),
|
||||
]
|
||||
all_transformers.extend(transformers or [])
|
||||
|
||||
projections: list[Any] = []
|
||||
for t in all_transformers:
|
||||
projection = t.init()
|
||||
if projection is not None:
|
||||
projections.append(projection)
|
||||
|
||||
mux = StreamMux(transformers=all_transformers)
|
||||
|
||||
for projection in projections:
|
||||
mux.wire_channels(projection)
|
||||
|
||||
return GraphRunStream(
|
||||
mux=mux,
|
||||
source=source,
|
||||
transformers=all_transformers,
|
||||
output_mapper=output_mapper,
|
||||
)
|
||||
|
||||
|
||||
__all__ = [
|
||||
"AsyncGraphRunStream",
|
||||
"AsyncSubgraphRunStream",
|
||||
"GraphRunStream",
|
||||
"SubgraphRunStream",
|
||||
"create_async_graph_run_stream",
|
||||
"create_graph_run_stream",
|
||||
]
|
||||
@@ -0,0 +1,76 @@
|
||||
"""StreamChannel — typed push-based channel for StreamTransformer projections.
|
||||
|
||||
A ``StreamChannel`` wraps an :class:`EventLog` and declares a protocol
|
||||
channel name. When the :class:`StreamMux` detects a ``StreamChannel``
|
||||
in a transformer's ``init()`` return, it wires every ``push()`` call to
|
||||
inject a :class:`ProtocolEvent` into the main event stream using the
|
||||
channel's name as the ``method``.
|
||||
|
||||
In-process consumers iterate the channel directly (it is an async
|
||||
iterable). Remote SDK clients subscribe via
|
||||
``session.subscribe("custom:<channelName>")``.
|
||||
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import AsyncIterator, Callable
|
||||
from typing import Any, Generic, TypeVar
|
||||
|
||||
from langgraph.stream._event_log import EventLog
|
||||
|
||||
T = TypeVar("T")
|
||||
|
||||
|
||||
class StreamChannel(Generic[T]):
|
||||
"""A typed push-based channel that integrates with the mux.
|
||||
|
||||
Transformer authors create a ``StreamChannel`` in ``init()`` and
|
||||
call ``push()`` inside ``process()`` to emit domain objects. The
|
||||
mux auto-wires pushes to protocol events and auto-closes/fails the
|
||||
channel on run completion.
|
||||
"""
|
||||
|
||||
__slots__ = ("channel_name", "_log", "_on_push")
|
||||
|
||||
def __init__(self, name: str) -> None:
|
||||
self.channel_name = name
|
||||
self._log: EventLog[T] = EventLog()
|
||||
self._on_push: Callable[[Any], None] | None = None
|
||||
|
||||
def push(self, item: T) -> None:
|
||||
"""Push an item to the channel.
|
||||
|
||||
If the mux has wired this channel, the push also injects a
|
||||
protocol event into the main event stream.
|
||||
"""
|
||||
self._log.append(item)
|
||||
if self._on_push is not None:
|
||||
self._on_push(item)
|
||||
|
||||
# -- Async iteration (in-process consumption) ---------------------------
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[T]:
|
||||
return aiter(self._log)
|
||||
|
||||
# -- Internal (called by the mux) ---------------------------------------
|
||||
|
||||
def _wire(self, fn: Callable[[Any], None]) -> None:
|
||||
"""Wire a callback invoked on every ``push()``. Called by the mux."""
|
||||
self._on_push = fn
|
||||
|
||||
def _close(self) -> None:
|
||||
"""Close the underlying log. Called by the mux on normal completion."""
|
||||
self._log.close()
|
||||
|
||||
def _fail(self, err: BaseException) -> None:
|
||||
"""Fail the underlying log. Called by the mux on failure."""
|
||||
self._log.fail(err)
|
||||
|
||||
|
||||
def is_stream_channel(value: object) -> bool:
|
||||
"""Check if *value* is a :class:`StreamChannel` instance."""
|
||||
return isinstance(value, StreamChannel)
|
||||
|
||||
|
||||
__all__ = ["StreamChannel", "is_stream_channel"]
|
||||
@@ -0,0 +1,168 @@
|
||||
"""Experimental streaming wrapper for CompiledGraph.
|
||||
|
||||
``StreamingHandler`` wraps a compiled graph and exposes the new streaming
|
||||
API without adding methods to the ``CompiledGraph`` class itself.
|
||||
|
||||
Usage::
|
||||
|
||||
from langgraph.stream import StreamingHandler
|
||||
|
||||
s = StreamingHandler(graph)
|
||||
|
||||
# async
|
||||
run = await s.astream(input)
|
||||
async for msg in run.messages:
|
||||
...
|
||||
|
||||
# sync
|
||||
run = s.stream(input)
|
||||
for event in run:
|
||||
...
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import AsyncIterator, Iterator, Sequence
|
||||
from typing import TYPE_CHECKING, Any, cast
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
|
||||
from langgraph._internal._config import patch_configurable
|
||||
from langgraph.stream._convert import STREAM_V2_MODES
|
||||
from langgraph.stream._types import StreamTransformer
|
||||
from langgraph.stream.run_stream import (
|
||||
AsyncGraphRunStream,
|
||||
GraphRunStream,
|
||||
create_async_graph_run_stream,
|
||||
create_graph_run_stream,
|
||||
)
|
||||
from langgraph.types import All
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langgraph.pregel import Pregel
|
||||
|
||||
#: Config key that activates the protocol messages handler.
|
||||
#: Duplicated here to avoid a circular import with ``pregel._messages_v2``.
|
||||
PROTOCOL_MESSAGES_STREAM_KEY = "__protocol_messages_stream"
|
||||
|
||||
|
||||
class StreamingHandler:
|
||||
"""Experimental streaming wrapper around a compiled graph.
|
||||
|
||||
Provides ``.stream()`` and ``.astream()`` returning
|
||||
:class:`GraphRunStream` / :class:`AsyncGraphRunStream` with
|
||||
ergonomic projections (``run.values``, ``run.messages``,
|
||||
``run.subgraphs``, ``run.output``).
|
||||
|
||||
Args:
|
||||
graph: A compiled LangGraph (``Pregel`` instance).
|
||||
"""
|
||||
|
||||
def __init__(self, graph: Pregel) -> None:
|
||||
self._graph = graph
|
||||
|
||||
async def astream(
|
||||
self,
|
||||
input: Any,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
context: Any | None = None,
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
debug: bool | None = None,
|
||||
transformers: list[StreamTransformer] | None = None,
|
||||
) -> AsyncGraphRunStream:
|
||||
"""Stream graph execution, returning an
|
||||
:class:`~langgraph.stream.run_stream.AsyncGraphRunStream`.
|
||||
|
||||
The returned stream provides ergonomic projections:
|
||||
|
||||
- ``await run.output`` -- final state
|
||||
- ``async for v in run.values`` -- intermediate state snapshots
|
||||
- ``async for msg in run.messages`` -- per-message
|
||||
:class:`~langgraph.stream.chat_model_stream.AsyncChatModelStream`
|
||||
objects
|
||||
- ``async for sub in run.subgraphs`` -- child
|
||||
:class:`~langgraph.stream.run_stream.AsyncSubgraphRunStream`
|
||||
instances
|
||||
- ``async for event in run`` -- raw
|
||||
:class:`~langgraph.stream._types.ProtocolEvent` objects
|
||||
|
||||
Args:
|
||||
input: The input to the graph.
|
||||
config: The configuration to use for the run.
|
||||
context: The static context to use for the run.
|
||||
interrupt_before: Nodes to interrupt before.
|
||||
interrupt_after: Nodes to interrupt after.
|
||||
debug: Whether to emit debug events.
|
||||
transformers: Optional user-supplied
|
||||
:class:`~langgraph.stream._types.StreamTransformer` instances
|
||||
for custom projections (available on ``run.extensions``).
|
||||
|
||||
Returns:
|
||||
An :class:`~langgraph.stream.run_stream.AsyncGraphRunStream`.
|
||||
"""
|
||||
merged_config = patch_configurable(config, {PROTOCOL_MESSAGES_STREAM_KEY: True})
|
||||
|
||||
source = cast(
|
||||
AsyncIterator[tuple[tuple[str, ...], str, Any]],
|
||||
self._graph.astream(
|
||||
input,
|
||||
merged_config,
|
||||
context=context,
|
||||
stream_mode=STREAM_V2_MODES,
|
||||
subgraphs=True,
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
debug=debug,
|
||||
version="v1",
|
||||
),
|
||||
)
|
||||
|
||||
return await create_async_graph_run_stream(
|
||||
source,
|
||||
transformers=transformers,
|
||||
output_mapper=self._graph._output_mapper,
|
||||
)
|
||||
|
||||
def stream(
|
||||
self,
|
||||
input: Any,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
context: Any | None = None,
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
debug: bool | None = None,
|
||||
transformers: list[StreamTransformer] | None = None,
|
||||
) -> GraphRunStream:
|
||||
"""Synchronous variant of :meth:`astream`.
|
||||
|
||||
Returns a :class:`~langgraph.stream.run_stream.GraphRunStream`
|
||||
immediately. The underlying source is consumed lazily as
|
||||
projections are iterated.
|
||||
|
||||
See :meth:`astream` for full documentation.
|
||||
"""
|
||||
merged_config = patch_configurable(config, {PROTOCOL_MESSAGES_STREAM_KEY: True})
|
||||
|
||||
source = cast(
|
||||
Iterator[tuple[tuple[str, ...], str, Any]],
|
||||
self._graph.stream(
|
||||
input,
|
||||
merged_config,
|
||||
context=context,
|
||||
stream_mode=STREAM_V2_MODES,
|
||||
subgraphs=True,
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
debug=debug,
|
||||
version="v1",
|
||||
),
|
||||
)
|
||||
|
||||
return create_graph_run_stream(
|
||||
source,
|
||||
transformers=transformers,
|
||||
output_mapper=self._graph._output_mapper,
|
||||
)
|
||||
@@ -0,0 +1,179 @@
|
||||
"""Built-in stream transformers for StreamingHandler.
|
||||
|
||||
``ValuesTransformer`` extracts ``values`` events and maintains the latest
|
||||
state per namespace. ``MessagesTransformer`` groups ``messages`` events
|
||||
into :class:`ChatModelStream` instances.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Any
|
||||
|
||||
from langgraph.stream._event_log import EventLog
|
||||
from langgraph.stream._types import ProtocolEvent
|
||||
from langgraph.stream.chat_model_stream import ChatModelStream
|
||||
|
||||
# Type alias for the stream class constructor signature
|
||||
_StreamCls = type[ChatModelStream]
|
||||
|
||||
|
||||
class ValuesTransformer:
|
||||
"""Extracts ``values`` events and populates a values event log.
|
||||
|
||||
Maintains the latest state per namespace and provides a separate
|
||||
event log that :class:`AsyncGraphRunStream` / :class:`GraphRunStream` uses for ``.values``
|
||||
iteration.
|
||||
|
||||
Implements the :class:`StreamTransformer` protocol.
|
||||
"""
|
||||
|
||||
name = "values"
|
||||
|
||||
def __init__(self) -> None:
|
||||
self._values_log: EventLog[dict[str, Any]] = EventLog()
|
||||
self._latest: dict[str, Any] = {}
|
||||
|
||||
@property
|
||||
def value(self) -> EventLog[dict[str, Any]]:
|
||||
return self._values_log
|
||||
|
||||
@property
|
||||
def values_log(self) -> EventLog[dict[str, Any]]:
|
||||
return self._values_log
|
||||
|
||||
def get_latest(self, ns_key: str = "") -> Any:
|
||||
return self._latest.get(ns_key)
|
||||
|
||||
def init(self) -> Any:
|
||||
return None
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
if event["method"] != "values":
|
||||
return True
|
||||
|
||||
ns = event["params"].get("namespace", [])
|
||||
data = event["params"]["data"]
|
||||
ns_key = "|".join(ns) if ns else ""
|
||||
self._latest[ns_key] = data
|
||||
|
||||
# Append to the values log for iteration
|
||||
self._values_log.append({"namespace": ns, "data": data})
|
||||
return True
|
||||
|
||||
def finalize(self) -> None:
|
||||
self._values_log.close()
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
self._values_log.fail(err)
|
||||
|
||||
|
||||
class MessagesTransformer:
|
||||
"""Groups ``messages`` events into :class:`ChatModelStream` instances.
|
||||
|
||||
One ``ChatModelStream`` is created per ``message-start`` event.
|
||||
Content-block events are routed to the active stream until
|
||||
``message-finish`` or ``message-error`` closes it.
|
||||
|
||||
Implements the :class:`StreamTransformer` protocol.
|
||||
"""
|
||||
|
||||
name = "messages"
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
namespace: list[str] | None = None,
|
||||
node_filter: str | None = None,
|
||||
stream_cls: _StreamCls | None = None,
|
||||
) -> None:
|
||||
self._namespace = namespace
|
||||
self._node_filter = node_filter
|
||||
self._stream_cls: _StreamCls = stream_cls or ChatModelStream
|
||||
|
||||
# Message log for .messages iteration
|
||||
self._messages_log: EventLog[ChatModelStream] = EventLog()
|
||||
|
||||
# Current active stream per namespace key
|
||||
self._active: dict[str, ChatModelStream] = {}
|
||||
|
||||
@property
|
||||
def value(self) -> EventLog[ChatModelStream]:
|
||||
return self._messages_log
|
||||
|
||||
@property
|
||||
def messages_log(self) -> EventLog[ChatModelStream]:
|
||||
return self._messages_log
|
||||
|
||||
def init(self) -> Any:
|
||||
return None
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
if event["method"] != "messages":
|
||||
return True
|
||||
|
||||
ns = event["params"].get("namespace", [])
|
||||
node = event["params"].get("node")
|
||||
data = event["params"]["data"]
|
||||
|
||||
# Apply namespace filter
|
||||
if self._namespace is not None:
|
||||
if ns[: len(self._namespace)] != self._namespace:
|
||||
return True
|
||||
|
||||
# Apply node filter
|
||||
if self._node_filter is not None and node != self._node_filter:
|
||||
return True
|
||||
|
||||
ns_key = "|".join(ns) if ns else ""
|
||||
event_type = data.get("event") if isinstance(data, dict) else None
|
||||
|
||||
if event_type == "message-start":
|
||||
stream = self._stream_cls(
|
||||
namespace=ns,
|
||||
node=node,
|
||||
message_id=data.get("message_id"),
|
||||
)
|
||||
self._active[ns_key] = stream
|
||||
self._messages_log.append(stream)
|
||||
|
||||
elif event_type in ("content-block-delta", "content-block-start"):
|
||||
active = self._active.get(ns_key)
|
||||
if active is not None and event_type == "content-block-delta":
|
||||
active._push_content_block_delta(data)
|
||||
|
||||
elif event_type == "content-block-finish":
|
||||
active = self._active.get(ns_key)
|
||||
if active is not None:
|
||||
active._push_content_block_finish(data)
|
||||
|
||||
elif event_type == "message-finish":
|
||||
active = self._active.pop(ns_key, None)
|
||||
if active is not None:
|
||||
active._finish(data)
|
||||
|
||||
elif event_type == "error":
|
||||
active = self._active.pop(ns_key, None)
|
||||
if active is not None:
|
||||
msg = data.get("message", "Unknown error")
|
||||
active._fail(RuntimeError(msg))
|
||||
|
||||
return True
|
||||
|
||||
def finalize(self) -> None:
|
||||
# Close any remaining active streams
|
||||
for stream in self._active.values():
|
||||
stream._finish({"reason": "stop"})
|
||||
self._active.clear()
|
||||
self._messages_log.close()
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
for stream in self._active.values():
|
||||
stream._fail(err)
|
||||
self._active.clear()
|
||||
self._messages_log.fail(err)
|
||||
|
||||
|
||||
__all__ = [
|
||||
"MessagesTransformer",
|
||||
"ValuesTransformer",
|
||||
]
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph"
|
||||
version = "1.1.5"
|
||||
version = "1.1.6"
|
||||
description = "Building stateful, multi-actor applications with LLMs"
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
|
||||
@@ -0,0 +1,558 @@
|
||||
import asyncio
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
from langchain_core.messages import AIMessage, HumanMessage
|
||||
from pydantic import BaseModel
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.config import get_stream_writer
|
||||
from langgraph.graph import END, START, MessagesState, StateGraph
|
||||
from langgraph.stream import AsyncChatModelStream, StreamingHandler
|
||||
from langgraph.stream._types import ProtocolEvent
|
||||
from tests.fake_chat import FakeChatModel
|
||||
|
||||
|
||||
class State(TypedDict):
|
||||
value: str
|
||||
items: Annotated[list[str], lambda a, b: a + b]
|
||||
|
||||
|
||||
def make_simple_graph():
|
||||
def node_a(state):
|
||||
return {"value": state["value"] + "_a", "items": ["a"]}
|
||||
|
||||
def node_b(state):
|
||||
return {"value": state["value"] + "_b", "items": ["b"]}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("node_a", node_a)
|
||||
graph.add_node("node_b", node_b)
|
||||
graph.add_edge(START, "node_a")
|
||||
graph.add_edge("node_a", "node_b")
|
||||
graph.add_edge("node_b", END)
|
||||
return graph.compile()
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_output():
|
||||
graph = make_simple_graph()
|
||||
run = await StreamingHandler(graph).astream({"value": "x", "items": []})
|
||||
await asyncio.sleep(0.1)
|
||||
output = await run.output
|
||||
assert output == {"value": "x_a_b", "items": ["a", "b"]}
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_values_iteration():
|
||||
graph = make_simple_graph()
|
||||
run = await StreamingHandler(graph).astream({"value": "x", "items": []})
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
snapshots = []
|
||||
async for v in run.values:
|
||||
snapshots.append(v)
|
||||
|
||||
assert len(snapshots) == 3
|
||||
assert snapshots[0]["value"] == "x"
|
||||
assert snapshots[1]["value"] == "x_a"
|
||||
assert snapshots[2]["value"] == "x_a_b"
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_updates_in_raw_events():
|
||||
graph = make_simple_graph()
|
||||
run = await StreamingHandler(graph).astream({"value": "x", "items": []})
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
updates = []
|
||||
async for event in run:
|
||||
if event["method"] == "updates":
|
||||
updates.append(event["params"]["data"])
|
||||
|
||||
assert len(updates) == 2
|
||||
assert "node_a" in updates[0]
|
||||
assert "node_b" in updates[1]
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_messages_with_chat_model():
|
||||
model = FakeChatModel(messages=[AIMessage(content="Hello world")])
|
||||
|
||||
def agent(state):
|
||||
return {"messages": [model.invoke(state["messages"])]}
|
||||
|
||||
graph = StateGraph(MessagesState)
|
||||
graph.add_node("agent", agent)
|
||||
graph.add_edge(START, "agent")
|
||||
graph.add_edge("agent", END)
|
||||
compiled = graph.compile()
|
||||
|
||||
run = await StreamingHandler(compiled).astream(
|
||||
{"messages": [HumanMessage(content="hi")]}
|
||||
)
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
messages_seen = []
|
||||
async for msg in run.messages:
|
||||
messages_seen.append(msg)
|
||||
|
||||
assert len(messages_seen) >= 1
|
||||
msg = messages_seen[0]
|
||||
assert isinstance(msg, AsyncChatModelStream)
|
||||
text = await msg.text
|
||||
assert text == "Hello world"
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_custom_events():
|
||||
def node(state):
|
||||
writer = get_stream_writer()
|
||||
writer("hello")
|
||||
writer(42)
|
||||
return {"value": state["value"] + "_a", "items": ["a"]}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("node_a", node)
|
||||
graph.add_edge(START, "node_a")
|
||||
graph.add_edge("node_a", END)
|
||||
compiled = graph.compile()
|
||||
|
||||
run = await StreamingHandler(compiled).astream({"value": "x", "items": []})
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
custom_payloads = []
|
||||
async for event in run:
|
||||
if event["method"] == "custom":
|
||||
custom_payloads.append(event["params"]["data"])
|
||||
|
||||
assert "hello" in custom_payloads
|
||||
assert 42 in custom_payloads
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_multiple_modes_present():
|
||||
graph = make_simple_graph()
|
||||
run = await StreamingHandler(graph).astream({"value": "x", "items": []})
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
methods = set()
|
||||
async for event in run:
|
||||
methods.add(event["method"])
|
||||
|
||||
assert {"values", "updates", "tasks", "debug"} <= methods
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_interrupted_false():
|
||||
graph = make_simple_graph()
|
||||
run = await StreamingHandler(graph).astream({"value": "x", "items": []})
|
||||
await asyncio.sleep(0.1)
|
||||
async for _ in run:
|
||||
pass
|
||||
assert run.interrupted is False
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_regression_v1_stream_unchanged():
|
||||
graph = make_simple_graph()
|
||||
chunks = []
|
||||
async for chunk in graph.astream(
|
||||
{"value": "x", "items": []}, stream_mode="values", version="v1"
|
||||
):
|
||||
chunks.append(chunk)
|
||||
for chunk in chunks:
|
||||
assert isinstance(chunk, dict)
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_regression_v2_stream_unchanged():
|
||||
graph = make_simple_graph()
|
||||
chunks = []
|
||||
async for chunk in graph.astream(
|
||||
{"value": "x", "items": []}, stream_mode="values", version="v2"
|
||||
):
|
||||
chunks.append(chunk)
|
||||
assert len(chunks) >= 1
|
||||
for chunk in chunks:
|
||||
assert isinstance(chunk, dict)
|
||||
assert "type" in chunk
|
||||
assert chunk["type"] == "values"
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_regression_invoke_unchanged():
|
||||
graph = make_simple_graph()
|
||||
result = await graph.ainvoke({"value": "x", "items": []})
|
||||
assert result == {"value": "x_a_b", "items": ["a", "b"]}
|
||||
|
||||
|
||||
def test_sync_stream_output():
|
||||
graph = make_simple_graph()
|
||||
run = StreamingHandler(graph).stream({"value": "x", "items": []})
|
||||
assert run.output == {"value": "x_a_b", "items": ["a", "b"]}
|
||||
|
||||
|
||||
def test_sync_stream_values():
|
||||
graph = make_simple_graph()
|
||||
run = StreamingHandler(graph).stream({"value": "x", "items": []})
|
||||
snapshots = list(run.values)
|
||||
assert len(snapshots) == 3
|
||||
assert snapshots[0]["value"] == "x"
|
||||
assert snapshots[2]["value"] == "x_a_b"
|
||||
|
||||
|
||||
def test_sync_stream_raw_events():
|
||||
graph = make_simple_graph()
|
||||
run = StreamingHandler(graph).stream({"value": "x", "items": []})
|
||||
methods = {e["method"] for e in run}
|
||||
assert {"values", "updates", "tasks", "debug"} <= methods
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Typed output (pydantic)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class ModelState(BaseModel):
|
||||
value: str
|
||||
items: Annotated[list[str], lambda a, b: a + b]
|
||||
|
||||
|
||||
def _make_model_state_graph():
|
||||
def node_a(state):
|
||||
return {"value": state.value + "_a", "items": ["a"]}
|
||||
|
||||
graph = StateGraph(ModelState)
|
||||
graph.add_node("node_a", node_a)
|
||||
graph.add_edge(START, "node_a")
|
||||
graph.add_edge("node_a", END)
|
||||
return graph.compile()
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_pydantic_output():
|
||||
graph = _make_model_state_graph()
|
||||
run = await StreamingHandler(graph).astream(ModelState(value="x", items=[]))
|
||||
await asyncio.sleep(0.1)
|
||||
output = await run.output
|
||||
assert isinstance(output, ModelState)
|
||||
assert output.value == "x_a"
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_pydantic_values():
|
||||
graph = _make_model_state_graph()
|
||||
run = await StreamingHandler(graph).astream(ModelState(value="x", items=[]))
|
||||
await asyncio.sleep(0.1)
|
||||
snapshots = []
|
||||
async for v in run.values:
|
||||
snapshots.append(v)
|
||||
for v in snapshots:
|
||||
assert isinstance(v, ModelState)
|
||||
|
||||
|
||||
def test_sync_pydantic_output():
|
||||
graph = _make_model_state_graph()
|
||||
run = StreamingHandler(graph).stream(ModelState(value="x", items=[]))
|
||||
assert isinstance(run.output, ModelState)
|
||||
assert run.output.value == "x_a"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Interrupts
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_interrupts():
|
||||
from langgraph.checkpoint.memory import MemorySaver
|
||||
|
||||
from langgraph.types import interrupt
|
||||
|
||||
def ask_human(state: State):
|
||||
answer = interrupt("what do you want?")
|
||||
return {"value": state["value"] + f"_{answer}", "items": [answer]}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("ask", ask_human)
|
||||
graph.add_edge(START, "ask")
|
||||
graph.add_edge("ask", END)
|
||||
compiled = graph.compile(checkpointer=MemorySaver())
|
||||
|
||||
config = {"configurable": {"thread_id": "t1"}}
|
||||
run = await StreamingHandler(compiled).astream(
|
||||
{"value": "x", "items": []}, config=config
|
||||
)
|
||||
await asyncio.sleep(0.1)
|
||||
# Drain events
|
||||
async for _ in run:
|
||||
pass
|
||||
assert run.interrupted is True
|
||||
assert len(run.interrupts) > 0
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# messages_from(node)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_messages_from_node():
|
||||
model = FakeChatModel(messages=[AIMessage(content="from agent")])
|
||||
|
||||
def agent(state):
|
||||
return {"messages": [model.invoke(state["messages"])]}
|
||||
|
||||
def postprocess(state):
|
||||
return {"messages": state["messages"]}
|
||||
|
||||
graph = StateGraph(MessagesState)
|
||||
graph.add_node("agent", agent)
|
||||
graph.add_node("postprocess", postprocess)
|
||||
graph.add_edge(START, "agent")
|
||||
graph.add_edge("agent", "postprocess")
|
||||
graph.add_edge("postprocess", END)
|
||||
compiled = graph.compile()
|
||||
|
||||
run = await StreamingHandler(compiled).astream(
|
||||
{"messages": [HumanMessage(content="hi")]}
|
||||
)
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
# All messages
|
||||
all_msgs = []
|
||||
async for m in run.messages:
|
||||
all_msgs.append(m)
|
||||
assert len(all_msgs) >= 1
|
||||
# Node provenance should be set
|
||||
assert all_msgs[0].node == "agent"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Subgraph child stream
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_subgraph_child_output():
|
||||
"""AsyncSubgraphRunStream.output should contain the child graph's final state."""
|
||||
|
||||
class ChildState(TypedDict):
|
||||
value: str
|
||||
|
||||
class ParentState(TypedDict):
|
||||
value: str
|
||||
|
||||
def child_node(state):
|
||||
return {"value": state["value"] + "_child"}
|
||||
|
||||
child_graph = StateGraph(ChildState)
|
||||
child_graph.add_node("child_node", child_node)
|
||||
child_graph.add_edge(START, "child_node")
|
||||
child_graph.add_edge("child_node", END)
|
||||
# Add the compiled child as a node — this triggers LangGraph's
|
||||
# subgraph streaming mechanism and emits child namespace events.
|
||||
child_compiled = child_graph.compile()
|
||||
|
||||
parent_graph = StateGraph(ParentState)
|
||||
parent_graph.add_node("child_node", child_compiled)
|
||||
parent_graph.add_edge(START, "child_node")
|
||||
parent_graph.add_edge("child_node", END)
|
||||
parent_compiled = parent_graph.compile()
|
||||
|
||||
run = await StreamingHandler(parent_compiled).astream({"value": "x"})
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
subgraph_streams = []
|
||||
async for sub in run.subgraphs:
|
||||
subgraph_streams.append(sub)
|
||||
|
||||
assert len(subgraph_streams) >= 1
|
||||
child_output = await subgraph_streams[0].output
|
||||
assert child_output is not None
|
||||
assert child_output["value"] == "x_child"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Custom reducers / .extensions
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _CountTransformer:
|
||||
"""Counts events. Exposes count via .value for extensions."""
|
||||
|
||||
name = "event_count"
|
||||
|
||||
def __init__(self) -> None:
|
||||
self.value = 0
|
||||
|
||||
def init(self) -> Any:
|
||||
return None
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
self.value += 1
|
||||
return True
|
||||
|
||||
def finalize(self) -> None:
|
||||
pass
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
pass
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_custom_reducer_extensions():
|
||||
graph = make_simple_graph()
|
||||
counter = _CountTransformer()
|
||||
run = await StreamingHandler(graph).astream(
|
||||
{"value": "x", "items": []}, transformers=[counter]
|
||||
)
|
||||
await asyncio.sleep(0.1)
|
||||
async for _ in run:
|
||||
pass
|
||||
assert counter.value > 0
|
||||
assert run.extensions["event_count"] == counter.value
|
||||
|
||||
|
||||
def test_sync_custom_reducer_extensions():
|
||||
graph = make_simple_graph()
|
||||
counter = _CountTransformer()
|
||||
run = StreamingHandler(graph).stream(
|
||||
{"value": "x", "items": []}, transformers=[counter]
|
||||
)
|
||||
for _ in run:
|
||||
pass
|
||||
assert counter.value > 0
|
||||
assert run.extensions["event_count"] == counter.value
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Tool transformer via extensions
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _ToolExecution:
|
||||
def __init__(self, tool_call_id: str, tool_name: str, input: Any, output: Any):
|
||||
self.tool_call_id = tool_call_id
|
||||
self.tool_name = tool_name
|
||||
self.input = input
|
||||
self.output = output
|
||||
|
||||
|
||||
class _ToolsTransformer:
|
||||
"""Groups tool-started/tool-finished custom events into _ToolExecution objects."""
|
||||
|
||||
name = "tools"
|
||||
|
||||
def __init__(self) -> None:
|
||||
from langgraph.stream._event_log import EventLog
|
||||
|
||||
self._log: EventLog[_ToolExecution] = EventLog()
|
||||
self._pending: dict[str, dict] = {}
|
||||
self.value = self._log
|
||||
|
||||
def init(self) -> Any:
|
||||
return None
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
if event["method"] != "custom":
|
||||
return True
|
||||
data = event["params"]["data"]
|
||||
if not isinstance(data, dict) or "event" not in data:
|
||||
return True
|
||||
|
||||
tool_call_id = data.get("tool_call_id")
|
||||
if tool_call_id is None:
|
||||
return True
|
||||
|
||||
if data["event"] == "tool-started":
|
||||
self._pending[tool_call_id] = data
|
||||
return False
|
||||
|
||||
if data["event"] == "tool-finished":
|
||||
started = self._pending.pop(tool_call_id, {})
|
||||
self._log.append(_ToolExecution(
|
||||
tool_call_id=tool_call_id,
|
||||
tool_name=started.get("tool_name", ""),
|
||||
input=started.get("input"),
|
||||
output=data["output"],
|
||||
))
|
||||
return False
|
||||
|
||||
return True
|
||||
|
||||
def finalize(self) -> None:
|
||||
self._log.close()
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
self._log.fail(err)
|
||||
|
||||
|
||||
def _make_tool_graph():
|
||||
"""Graph: agent emits a tool call, custom_tools executes it with writer events."""
|
||||
from langgraph.types import StreamWriter
|
||||
|
||||
def agent(state):
|
||||
return {
|
||||
"value": "called",
|
||||
"items": ["agent"],
|
||||
}
|
||||
|
||||
def custom_tools(state, *, writer: StreamWriter):
|
||||
writer({
|
||||
"event": "tool-started",
|
||||
"tool_call_id": "call_1",
|
||||
"tool_name": "get_weather",
|
||||
"input": {"city": "SF"},
|
||||
})
|
||||
writer({
|
||||
"event": "tool-finished",
|
||||
"tool_call_id": "call_1",
|
||||
"output": {"temp_f": 64},
|
||||
})
|
||||
return {"value": "done", "items": ["tools"]}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("agent", agent)
|
||||
graph.add_node("custom_tools", custom_tools)
|
||||
graph.add_edge(START, "agent")
|
||||
graph.add_edge("agent", "custom_tools")
|
||||
graph.add_edge("custom_tools", END)
|
||||
return graph.compile()
|
||||
|
||||
|
||||
def test_sync_tool_transformer_via_extensions():
|
||||
"""Tool events flow through extensions and are iterable without draining raw events."""
|
||||
graph = _make_tool_graph()
|
||||
run = StreamingHandler(graph).stream(
|
||||
{"value": "", "items": []},
|
||||
transformers=[_ToolsTransformer()],
|
||||
)
|
||||
|
||||
# Iterating extensions drives the pump — no need to drain raw events first
|
||||
executions = list(run.extensions["tools"])
|
||||
assert len(executions) == 1
|
||||
assert executions[0].tool_name == "get_weather"
|
||||
assert executions[0].input == {"city": "SF"}
|
||||
assert executions[0].output == {"temp_f": 64}
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_tool_transformer_via_extensions():
|
||||
"""Tool events flow through extensions in async mode."""
|
||||
graph = _make_tool_graph()
|
||||
run = await StreamingHandler(graph).astream(
|
||||
{"value": "", "items": []},
|
||||
transformers=[_ToolsTransformer()],
|
||||
)
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
# Drain main stream so transformer processes all events
|
||||
async for _ in run:
|
||||
pass
|
||||
|
||||
tools_log = run.extensions["tools"]
|
||||
assert len(tools_log) == 1
|
||||
assert tools_log[0].tool_name == "get_weather"
|
||||
assert tools_log[0].output == {"temp_f": 64}
|
||||
@@ -0,0 +1,531 @@
|
||||
from uuid import uuid4
|
||||
|
||||
import pytest
|
||||
from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage
|
||||
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
|
||||
|
||||
from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
|
||||
from langgraph.pregel._messages_v2 import StreamProtocolMessagesHandler
|
||||
from langgraph.types import Command
|
||||
|
||||
META = {"langgraph_checkpoint_ns": "root:", "langgraph_node": "agent"}
|
||||
|
||||
|
||||
def make_handler(subgraphs=True):
|
||||
events = []
|
||||
handler = StreamProtocolMessagesHandler(events.append, subgraphs)
|
||||
return handler, events
|
||||
|
||||
|
||||
def test_streamed_text():
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
|
||||
)
|
||||
|
||||
for token_text in ("Hello", " ", "world"):
|
||||
chunk = ChatGenerationChunk(
|
||||
message=AIMessageChunk(content=token_text, id=f"run-{run_id}")
|
||||
)
|
||||
handler.on_llm_new_token(token_text, chunk=chunk, run_id=run_id)
|
||||
|
||||
final_msg = AIMessage(content="Hello world", id=f"run-{run_id}")
|
||||
handler.on_llm_end(
|
||||
LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
assert data_events[0]["event"] == "message-start"
|
||||
assert data_events[1]["event"] == "content-block-start"
|
||||
assert data_events[1]["index"] == 0
|
||||
|
||||
deltas = [d for d in data_events if d["event"] == "content-block-delta"]
|
||||
assert len(deltas) == 3
|
||||
assert deltas[0]["content_block"]["text"] == "Hello"
|
||||
assert deltas[1]["content_block"]["text"] == " "
|
||||
assert deltas[2]["content_block"]["text"] == "world"
|
||||
|
||||
finish_blocks = [d for d in data_events if d["event"] == "content-block-finish"]
|
||||
assert len(finish_blocks) == 1
|
||||
assert finish_blocks[0]["content_block"]["text"] == "Hello world"
|
||||
|
||||
assert data_events[-1]["event"] == "message-finish"
|
||||
assert data_events[-1]["reason"] == "stop"
|
||||
|
||||
|
||||
def test_tool_calls():
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
|
||||
)
|
||||
|
||||
chunk1 = ChatGenerationChunk(
|
||||
message=AIMessageChunk(
|
||||
content="",
|
||||
tool_call_chunks=[
|
||||
{"name": "search", "args": '{"q', "id": "call_1", "index": 0}
|
||||
],
|
||||
id=f"run-{run_id}",
|
||||
)
|
||||
)
|
||||
handler.on_llm_new_token("", chunk=chunk1, run_id=run_id)
|
||||
|
||||
chunk2 = ChatGenerationChunk(
|
||||
message=AIMessageChunk(
|
||||
content="",
|
||||
tool_call_chunks=[
|
||||
{"name": None, "args": 'uery":"hi"}', "id": None, "index": 0}
|
||||
],
|
||||
id=f"run-{run_id}",
|
||||
)
|
||||
)
|
||||
handler.on_llm_new_token("", chunk=chunk2, run_id=run_id)
|
||||
|
||||
final_msg = AIMessage(
|
||||
content="",
|
||||
tool_calls=[{"name": "search", "args": {"query": "hi"}, "id": "call_1"}],
|
||||
id=f"run-{run_id}",
|
||||
)
|
||||
handler.on_llm_end(
|
||||
LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
finish_blocks = [d for d in data_events if d["event"] == "content-block-finish"]
|
||||
assert len(finish_blocks) == 1
|
||||
fb = finish_blocks[0]["content_block"]
|
||||
assert fb["type"] == "tool_call"
|
||||
assert fb["args"] == {"query": "hi"}
|
||||
assert fb["name"] == "search"
|
||||
assert fb["id"] == "call_1"
|
||||
|
||||
|
||||
def test_invalid_tool_call_json():
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
|
||||
)
|
||||
|
||||
chunk = ChatGenerationChunk(
|
||||
message=AIMessageChunk(
|
||||
content="",
|
||||
tool_call_chunks=[
|
||||
{
|
||||
"name": "search",
|
||||
"args": "{not valid json",
|
||||
"id": "call_2",
|
||||
"index": 0,
|
||||
}
|
||||
],
|
||||
id=f"run-{run_id}",
|
||||
)
|
||||
)
|
||||
handler.on_llm_new_token("", chunk=chunk, run_id=run_id)
|
||||
|
||||
final_msg = AIMessage(content="", id=f"run-{run_id}")
|
||||
handler.on_llm_end(
|
||||
LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
finish_blocks = [d for d in data_events if d["event"] == "content-block-finish"]
|
||||
assert len(finish_blocks) == 1
|
||||
fb = finish_blocks[0]["content_block"]
|
||||
assert fb["type"] == "invalid_tool_call"
|
||||
assert "Failed to parse" in fb["error"]
|
||||
|
||||
|
||||
def test_reasoning_blocks():
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
|
||||
)
|
||||
|
||||
chunk = ChatGenerationChunk(
|
||||
message=AIMessageChunk(
|
||||
content=[{"type": "reasoning_content", "reasoning_content": "thinking..."}],
|
||||
id=f"run-{run_id}",
|
||||
)
|
||||
)
|
||||
handler.on_llm_new_token("", chunk=chunk, run_id=run_id)
|
||||
|
||||
final_msg = AIMessage(content="", id=f"run-{run_id}")
|
||||
handler.on_llm_end(
|
||||
LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
block_starts = [d for d in data_events if d["event"] == "content-block-start"]
|
||||
assert len(block_starts) == 1
|
||||
assert block_starts[0]["content_block"]["type"] == "reasoning"
|
||||
|
||||
deltas = [d for d in data_events if d["event"] == "content-block-delta"]
|
||||
assert len(deltas) == 1
|
||||
assert deltas[0]["content_block"]["reasoning"] == "thinking..."
|
||||
|
||||
|
||||
def test_multiple_content_blocks():
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
|
||||
)
|
||||
|
||||
chunk1 = ChatGenerationChunk(
|
||||
message=AIMessageChunk(content="hello", id=f"run-{run_id}")
|
||||
)
|
||||
handler.on_llm_new_token("hello", chunk=chunk1, run_id=run_id)
|
||||
|
||||
chunk2 = ChatGenerationChunk(
|
||||
message=AIMessageChunk(
|
||||
content="",
|
||||
tool_call_chunks=[
|
||||
{"name": "lookup", "args": '{"x":1}', "id": "call_3", "index": 1}
|
||||
],
|
||||
id=f"run-{run_id}",
|
||||
)
|
||||
)
|
||||
handler.on_llm_new_token("", chunk=chunk2, run_id=run_id)
|
||||
|
||||
final_msg = AIMessage(
|
||||
content="hello",
|
||||
tool_calls=[{"name": "lookup", "args": {"x": 1}, "id": "call_3"}],
|
||||
id=f"run-{run_id}",
|
||||
)
|
||||
handler.on_llm_end(
|
||||
LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
finish_blocks = [d for d in data_events if d["event"] == "content-block-finish"]
|
||||
assert len(finish_blocks) == 2
|
||||
|
||||
|
||||
def test_usage_metadata():
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
|
||||
)
|
||||
|
||||
chunk = ChatGenerationChunk(
|
||||
message=AIMessageChunk(content="hi", id=f"run-{run_id}")
|
||||
)
|
||||
handler.on_llm_new_token("hi", chunk=chunk, run_id=run_id)
|
||||
|
||||
final_msg = AIMessage(
|
||||
content="hi",
|
||||
id=f"run-{run_id}",
|
||||
usage_metadata={"input_tokens": 10, "output_tokens": 5, "total_tokens": 15},
|
||||
)
|
||||
handler.on_llm_end(
|
||||
LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
finish_event = [d for d in data_events if d["event"] == "message-finish"][0]
|
||||
assert "usage" in finish_event
|
||||
assert finish_event["usage"]["input_tokens"] == 10
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"raw_reason,expected",
|
||||
[
|
||||
("stop", "stop"),
|
||||
("tool_calls", "tool_use"),
|
||||
("length", "length"),
|
||||
("content_filter", "content_filter"),
|
||||
("end_turn", "stop"),
|
||||
],
|
||||
)
|
||||
def test_finish_reason_normalization(raw_reason, expected):
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
|
||||
)
|
||||
chunk = ChatGenerationChunk(message=AIMessageChunk(content="x", id=f"run-{run_id}"))
|
||||
handler.on_llm_new_token("x", chunk=chunk, run_id=run_id)
|
||||
|
||||
final_msg = AIMessage(
|
||||
content="x",
|
||||
id=f"run-{run_id}",
|
||||
response_metadata={"finish_reason": raw_reason},
|
||||
)
|
||||
handler.on_llm_end(
|
||||
LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
finish_event = [d for d in data_events if d["event"] == "message-finish"][0]
|
||||
assert finish_event["reason"] == expected
|
||||
|
||||
|
||||
def test_tag_nostream():
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[TAG_NOSTREAM]
|
||||
)
|
||||
chunk = ChatGenerationChunk(
|
||||
message=AIMessageChunk(content="secret", id=f"run-{run_id}")
|
||||
)
|
||||
handler.on_llm_new_token("secret", chunk=chunk, run_id=run_id)
|
||||
|
||||
final_msg = AIMessage(content="secret", id=f"run-{run_id}")
|
||||
handler.on_llm_end(
|
||||
LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
|
||||
run_id=run_id,
|
||||
)
|
||||
assert events == []
|
||||
|
||||
|
||||
def test_tag_hidden_chain():
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chain_start(
|
||||
serialized={},
|
||||
inputs={},
|
||||
run_id=run_id,
|
||||
metadata=META,
|
||||
tags=[TAG_HIDDEN],
|
||||
name="agent",
|
||||
)
|
||||
handler.on_chain_end(
|
||||
{"messages": [AIMessage(content="hidden", id="msg-1")]},
|
||||
run_id=run_id,
|
||||
)
|
||||
assert events == []
|
||||
|
||||
|
||||
def test_subgraph_filtering():
|
||||
handler, events = make_handler(subgraphs=False)
|
||||
run_id = uuid4()
|
||||
|
||||
subgraph_meta = {
|
||||
"langgraph_checkpoint_ns": "root:|child:",
|
||||
"langgraph_node": "agent",
|
||||
}
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id, metadata=subgraph_meta, tags=[]
|
||||
)
|
||||
chunk = ChatGenerationChunk(
|
||||
message=AIMessageChunk(content="sub", id=f"run-{run_id}")
|
||||
)
|
||||
handler.on_llm_new_token("sub", chunk=chunk, run_id=run_id)
|
||||
|
||||
final_msg = AIMessage(content="sub", id=f"run-{run_id}")
|
||||
handler.on_llm_end(
|
||||
LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
|
||||
run_id=run_id,
|
||||
)
|
||||
assert events == []
|
||||
|
||||
|
||||
def test_chain_emits_messages():
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chain_start(
|
||||
serialized={}, inputs={}, run_id=run_id, metadata=META, tags=[], name="agent"
|
||||
)
|
||||
handler.on_chain_end(
|
||||
{"messages": [AIMessage(content="hello", id="msg-chain-1")]},
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
assert len(data_events) > 0
|
||||
assert data_events[0]["event"] == "message-start"
|
||||
assert data_events[-1]["event"] == "message-finish"
|
||||
|
||||
|
||||
def test_llm_error_after_start():
|
||||
"""on_llm_error should emit a message-error event for a started stream."""
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
|
||||
)
|
||||
|
||||
chunk = ChatGenerationChunk(
|
||||
message=AIMessageChunk(content="partial", id=f"run-{run_id}")
|
||||
)
|
||||
handler.on_llm_new_token("partial", chunk=chunk, run_id=run_id)
|
||||
|
||||
handler.on_llm_error(RuntimeError("connection lost"), run_id=run_id)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
assert data_events[0]["event"] == "message-start"
|
||||
error_events = [d for d in data_events if d["event"] == "error"]
|
||||
assert len(error_events) == 1
|
||||
assert "connection lost" in error_events[0]["message"]
|
||||
|
||||
|
||||
def test_llm_error_before_start_no_emit():
|
||||
"""on_llm_error before any tokens should not emit error events."""
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
|
||||
)
|
||||
|
||||
# Error before any token — state.started is False
|
||||
handler.on_llm_error(RuntimeError("immediate fail"), run_id=run_id)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
error_events = [d for d in data_events if d.get("event") == "error"]
|
||||
assert len(error_events) == 0
|
||||
|
||||
|
||||
def test_non_streamed_model():
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id, metadata=META, tags=[]
|
||||
)
|
||||
|
||||
final_msg = AIMessage(
|
||||
content="full response",
|
||||
id=f"run-{run_id}",
|
||||
response_metadata={"finish_reason": "stop"},
|
||||
)
|
||||
handler.on_llm_end(
|
||||
LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
assert len(data_events) > 0
|
||||
assert data_events[0]["event"] == "message-start"
|
||||
|
||||
deltas = [d for d in data_events if d["event"] == "content-block-delta"]
|
||||
assert len(deltas) == 1
|
||||
assert deltas[0]["content_block"]["text"] == "full response"
|
||||
|
||||
assert data_events[-1]["event"] == "message-finish"
|
||||
assert data_events[-1]["reason"] == "stop"
|
||||
|
||||
|
||||
def test_chain_emits_command_with_message():
|
||||
"""on_chain_end should emit protocol events for messages inside a Command."""
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chain_start(
|
||||
serialized={}, inputs={}, run_id=run_id, metadata=META, tags=[], name="agent"
|
||||
)
|
||||
handler.on_chain_end(
|
||||
Command(update={"messages": [AIMessage(content="from command", id="cmd-1")]}),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
assert len(data_events) > 0
|
||||
assert data_events[0]["event"] == "message-start"
|
||||
deltas = [d for d in data_events if d["event"] == "content-block-delta"]
|
||||
assert len(deltas) == 1
|
||||
assert deltas[0]["content_block"]["text"] == "from command"
|
||||
assert data_events[-1]["event"] == "message-finish"
|
||||
|
||||
|
||||
def test_chain_emits_command_in_list():
|
||||
"""on_chain_end should handle a list containing Command objects."""
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chain_start(
|
||||
serialized={}, inputs={}, run_id=run_id, metadata=META, tags=[], name="agent"
|
||||
)
|
||||
handler.on_chain_end(
|
||||
[Command(update={"messages": [AIMessage(content="listed", id="cmd-2")]})],
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
starts = [d for d in data_events if d["event"] == "message-start"]
|
||||
assert len(starts) == 1
|
||||
|
||||
|
||||
def test_chain_deduplicates_seen_messages():
|
||||
"""Messages already seen from LLM streaming should not be re-emitted by chain end."""
|
||||
handler, events = make_handler()
|
||||
run_id_llm = uuid4()
|
||||
run_id_chain = uuid4()
|
||||
msg_id = f"run-{run_id_llm}"
|
||||
|
||||
# Simulate LLM streaming
|
||||
handler.on_chat_model_start(
|
||||
serialized={}, messages=[[]], run_id=run_id_llm, metadata=META, tags=[]
|
||||
)
|
||||
chunk = ChatGenerationChunk(message=AIMessageChunk(content="hello", id=msg_id))
|
||||
handler.on_llm_new_token("hello", chunk=chunk, run_id=run_id_llm)
|
||||
|
||||
final_msg = AIMessage(content="hello", id=msg_id)
|
||||
handler.on_llm_end(
|
||||
LLMResult(generations=[[ChatGeneration(message=final_msg)]]),
|
||||
run_id=run_id_llm,
|
||||
)
|
||||
|
||||
events_before = len(events)
|
||||
|
||||
# Now chain end with the same message ID
|
||||
handler.on_chain_start(
|
||||
serialized={},
|
||||
inputs={},
|
||||
run_id=run_id_chain,
|
||||
metadata=META,
|
||||
tags=[],
|
||||
name="agent",
|
||||
)
|
||||
handler.on_chain_end(
|
||||
{"messages": [AIMessage(content="hello", id=msg_id)]},
|
||||
run_id=run_id_chain,
|
||||
)
|
||||
|
||||
# No new events should have been emitted for the duplicate
|
||||
data_events_after = [e[2] for e in events[events_before:]]
|
||||
starts = [d for d in data_events_after if d.get("event") == "message-start"]
|
||||
assert len(starts) == 0
|
||||
|
||||
|
||||
def test_chain_emits_human_message_role():
|
||||
"""Non-AI messages from chain output should have the correct role."""
|
||||
handler, events = make_handler()
|
||||
run_id = uuid4()
|
||||
|
||||
handler.on_chain_start(
|
||||
serialized={}, inputs={}, run_id=run_id, metadata=META, tags=[], name="agent"
|
||||
)
|
||||
handler.on_chain_end(
|
||||
{"messages": [HumanMessage(content="user msg", id="hmsg-1")]},
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
data_events = [e[2] for e in events]
|
||||
starts = [d for d in data_events if d["event"] == "message-start"]
|
||||
assert len(starts) == 1
|
||||
assert starts[0]["role"] == "human"
|
||||
@@ -1329,20 +1329,22 @@ def test_imp_nested(
|
||||
}
|
||||
|
||||
thread1 = {"configurable": {"thread_id": "1"}}
|
||||
assert [*graph.stream([0, 1], thread1, durability=durability)] == [
|
||||
{"submapper": "0"},
|
||||
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"},
|
||||
{"submapper": "1"},
|
||||
{"mapper": "11"},
|
||||
{
|
||||
"__interrupt__": (
|
||||
Interrupt(
|
||||
value="question",
|
||||
id=AnyStr(),
|
||||
),
|
||||
)
|
||||
},
|
||||
{"submapper": "0"},
|
||||
{"submapper": "1"},
|
||||
]
|
||||
assert result[-1] == {
|
||||
"__interrupt__": (
|
||||
Interrupt(
|
||||
value="question",
|
||||
id=AnyStr(),
|
||||
),
|
||||
)
|
||||
}
|
||||
|
||||
assert graph.invoke(Command(resume="answer"), thread1, durability=durability) == [
|
||||
"00answera",
|
||||
|
||||
@@ -1,13 +1,27 @@
|
||||
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, _should_retry_on
|
||||
from langgraph.runtime import Runtime
|
||||
from langgraph.types import RetryPolicy
|
||||
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
|
||||
|
||||
|
||||
def test_should_retry_on_single_exception():
|
||||
@@ -456,3 +470,100 @@ def test_execution_info_identity_fields_populated_on_retry():
|
||||
# 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
|
||||
|
||||
@@ -0,0 +1,245 @@
|
||||
import pytest
|
||||
|
||||
from langgraph.stream.chat_model_stream import AsyncChatModelStream, ChatModelStream
|
||||
|
||||
|
||||
def _text_delta(text: str) -> dict:
|
||||
return {"content_block": {"type": "text", "text": text}}
|
||||
|
||||
|
||||
def _reasoning_delta(text: str) -> dict:
|
||||
return {"content_block": {"type": "reasoning", "reasoning": text}}
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Sync ChatModelStream tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_sync_text_accumulates():
|
||||
stream = ChatModelStream()
|
||||
stream._push_content_block_delta(_text_delta("Hello"))
|
||||
stream._push_content_block_delta(_text_delta(", world"))
|
||||
stream._finish({"reason": "stop"})
|
||||
|
||||
assert stream.text == "Hello, world"
|
||||
assert isinstance(stream.text, str)
|
||||
|
||||
|
||||
def test_sync_reasoning_accumulates():
|
||||
stream = ChatModelStream()
|
||||
stream._push_content_block_delta(_reasoning_delta("step 1"))
|
||||
stream._push_content_block_delta(_reasoning_delta(" -> step 2"))
|
||||
stream._finish({"reason": "stop"})
|
||||
|
||||
assert stream.reasoning == "step 1 -> step 2"
|
||||
assert isinstance(stream.reasoning, str)
|
||||
|
||||
|
||||
def test_sync_usage():
|
||||
stream = ChatModelStream()
|
||||
usage = {"input_tokens": 10, "output_tokens": 5}
|
||||
stream._finish({"reason": "stop", "usage": usage})
|
||||
assert stream.usage == usage
|
||||
|
||||
|
||||
def test_sync_mixed_blocks():
|
||||
stream = ChatModelStream()
|
||||
stream._push_content_block_delta(_text_delta("answer"))
|
||||
stream._push_content_block_delta(
|
||||
{"content_block": {"type": "tool_call", "name": "search"}}
|
||||
)
|
||||
stream._push_content_block_delta(_text_delta(" here"))
|
||||
stream._finish({"reason": "stop"})
|
||||
|
||||
assert stream.text == "answer here"
|
||||
|
||||
|
||||
def test_sync_tool_call_only_text_empty():
|
||||
stream = ChatModelStream()
|
||||
stream._push_content_block_delta(
|
||||
{"content_block": {"type": "tool_call", "name": "search"}}
|
||||
)
|
||||
stream._finish({"reason": "stop"})
|
||||
assert stream.text == ""
|
||||
|
||||
|
||||
def test_sync_fail_marks_done():
|
||||
stream = ChatModelStream()
|
||||
assert not stream.done
|
||||
stream._fail(RuntimeError("err"))
|
||||
assert stream.done
|
||||
|
||||
|
||||
def test_sync_namespace_and_node():
|
||||
stream = ChatModelStream(
|
||||
namespace=["agent:0", "tools:1"],
|
||||
node="chat_model",
|
||||
message_id="msg-123",
|
||||
)
|
||||
assert stream.namespace == ["agent:0", "tools:1"]
|
||||
assert stream.node == "chat_model"
|
||||
assert stream.message_id == "msg-123"
|
||||
|
||||
|
||||
def test_sync_content_block_finish_authoritative():
|
||||
"""content-block-finish with authoritative text overrides accumulated."""
|
||||
stream = ChatModelStream()
|
||||
stream._push_content_block_delta(_text_delta("partial"))
|
||||
stream._push_content_block_finish(
|
||||
{"content_block": {"type": "text", "text": "full text"}}
|
||||
)
|
||||
assert stream.text == "full text"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Async ChatModelStream tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_text_iterable_yields_deltas():
|
||||
stream = AsyncChatModelStream()
|
||||
stream._push_content_block_delta(_text_delta("Hello"))
|
||||
stream._push_content_block_delta(_text_delta(", world"))
|
||||
stream._finish({"reason": "stop"})
|
||||
|
||||
collected = []
|
||||
async for delta in stream.text:
|
||||
collected.append(delta)
|
||||
assert collected == ["Hello", ", world"]
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_text_awaitable_returns_full():
|
||||
stream = AsyncChatModelStream()
|
||||
stream._push_content_block_delta(_text_delta("Hello"))
|
||||
stream._push_content_block_delta(_text_delta(", world"))
|
||||
stream._finish({"reason": "stop"})
|
||||
|
||||
result = await stream.text
|
||||
assert result == "Hello, world"
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_reasoning_dual_pattern():
|
||||
stream = AsyncChatModelStream()
|
||||
stream._push_content_block_delta(_reasoning_delta("step 1"))
|
||||
stream._push_content_block_delta(_reasoning_delta(" -> step 2"))
|
||||
stream._finish({"reason": "stop"})
|
||||
|
||||
collected = []
|
||||
async for delta in stream.reasoning:
|
||||
collected.append(delta)
|
||||
assert collected == ["step 1", " -> step 2"]
|
||||
|
||||
stream2 = AsyncChatModelStream()
|
||||
stream2._push_content_block_delta(_reasoning_delta("thinking"))
|
||||
stream2._finish({"reason": "stop"})
|
||||
full = await stream2.reasoning
|
||||
assert full == "thinking"
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_usage_resolves():
|
||||
stream = AsyncChatModelStream()
|
||||
usage = {"input_tokens": 10, "output_tokens": 5}
|
||||
stream._finish({"reason": "stop", "usage": usage})
|
||||
result = await stream.usage
|
||||
assert result == usage
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_mixed_blocks_text_only():
|
||||
stream = AsyncChatModelStream()
|
||||
stream._push_content_block_delta(_text_delta("answer"))
|
||||
stream._push_content_block_delta(
|
||||
{"content_block": {"type": "tool_call", "name": "search"}}
|
||||
)
|
||||
stream._push_content_block_delta(_text_delta(" here"))
|
||||
stream._finish({"reason": "stop"})
|
||||
|
||||
collected = []
|
||||
async for delta in stream.text:
|
||||
collected.append(delta)
|
||||
assert collected == ["answer", " here"]
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_tool_call_only_text_empty():
|
||||
stream = AsyncChatModelStream()
|
||||
stream._push_content_block_delta(
|
||||
{"content_block": {"type": "tool_call", "name": "search"}}
|
||||
)
|
||||
stream._finish({"reason": "stop"})
|
||||
result = await stream.text
|
||||
assert result == ""
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_fail_raises_on_text_await():
|
||||
stream = AsyncChatModelStream()
|
||||
stream._push_content_block_delta(_text_delta("partial"))
|
||||
stream._fail(RuntimeError("model error"))
|
||||
|
||||
with pytest.raises(RuntimeError, match="model error"):
|
||||
await stream.text
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_fail_raises_on_reasoning_await():
|
||||
stream = AsyncChatModelStream()
|
||||
stream._push_content_block_delta(_reasoning_delta("thinking"))
|
||||
stream._fail(RuntimeError("model error"))
|
||||
|
||||
with pytest.raises(RuntimeError, match="model error"):
|
||||
await stream.reasoning
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_fail_raises_on_usage_await():
|
||||
stream = AsyncChatModelStream()
|
||||
stream._fail(RuntimeError("model error"))
|
||||
|
||||
with pytest.raises(RuntimeError, match="model error"):
|
||||
await stream.usage
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_fail_raises_during_text_iteration():
|
||||
stream = AsyncChatModelStream()
|
||||
stream._push_content_block_delta(_text_delta("partial"))
|
||||
stream._fail(RuntimeError("model error"))
|
||||
|
||||
collected = []
|
||||
with pytest.raises(RuntimeError, match="model error"):
|
||||
async for delta in stream.text:
|
||||
collected.append(delta)
|
||||
assert collected == ["partial"]
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_fail_marks_done():
|
||||
stream = AsyncChatModelStream()
|
||||
assert not stream.done
|
||||
stream._fail(RuntimeError("err"))
|
||||
assert stream.done
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_namespace_and_node():
|
||||
stream = AsyncChatModelStream(
|
||||
namespace=["agent:0", "tools:1"],
|
||||
node="chat_model",
|
||||
message_id="msg-123",
|
||||
)
|
||||
assert stream.namespace == ["agent:0", "tools:1"]
|
||||
assert stream.node == "chat_model"
|
||||
assert stream.message_id == "msg-123"
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_inherits_from_sync():
|
||||
"""AsyncChatModelStream is a subclass of ChatModelStream."""
|
||||
stream = AsyncChatModelStream()
|
||||
assert isinstance(stream, ChatModelStream)
|
||||
@@ -0,0 +1,86 @@
|
||||
from langgraph.stream._convert import STREAM_V2_MODES, convert_to_protocol_event
|
||||
|
||||
|
||||
def test_values_mode():
|
||||
evt = convert_to_protocol_event((), "values", {"x": 1})
|
||||
assert evt is not None
|
||||
assert evt["method"] == "values"
|
||||
assert evt["params"]["data"] == {"x": 1}
|
||||
|
||||
|
||||
def test_updates_mode():
|
||||
evt = convert_to_protocol_event((), "updates", {"node": "out"})
|
||||
assert evt is not None
|
||||
assert evt["method"] == "updates"
|
||||
|
||||
|
||||
def test_messages_mode():
|
||||
evt = convert_to_protocol_event((), "messages", {"event": "msg"})
|
||||
assert evt is not None
|
||||
assert evt["method"] == "messages"
|
||||
|
||||
|
||||
def test_custom_mode():
|
||||
evt = convert_to_protocol_event((), "custom", "hello")
|
||||
assert evt is not None
|
||||
assert evt["method"] == "custom"
|
||||
assert evt["params"]["data"] == "hello"
|
||||
|
||||
|
||||
def test_debug_mode():
|
||||
evt = convert_to_protocol_event((), "debug", {})
|
||||
assert evt is not None
|
||||
assert evt["method"] == "debug"
|
||||
|
||||
|
||||
def test_checkpoints_mode():
|
||||
evt = convert_to_protocol_event((), "checkpoints", {})
|
||||
assert evt is not None
|
||||
assert evt["method"] == "checkpoints"
|
||||
|
||||
|
||||
def test_tasks_mode():
|
||||
evt = convert_to_protocol_event((), "tasks", {})
|
||||
assert evt is not None
|
||||
assert evt["method"] == "tasks"
|
||||
|
||||
|
||||
def test_namespace_passthrough():
|
||||
evt = convert_to_protocol_event(("agent", "0"), "values", {})
|
||||
assert evt is not None
|
||||
assert evt["params"]["namespace"] == ["agent", "0"]
|
||||
|
||||
|
||||
def test_timestamp_populated():
|
||||
evt = convert_to_protocol_event((), "values", {})
|
||||
assert evt is not None
|
||||
assert isinstance(evt["params"]["timestamp"], int)
|
||||
assert evt["params"]["timestamp"] > 0
|
||||
|
||||
|
||||
def test_unknown_mode_returns_none():
|
||||
assert convert_to_protocol_event((), "unknown_mode", {}) is None
|
||||
|
||||
|
||||
def test_node_parameter():
|
||||
evt = convert_to_protocol_event((), "values", {}, node="agent")
|
||||
assert evt is not None
|
||||
assert evt["params"]["node"] == "agent"
|
||||
|
||||
|
||||
def test_type_is_event():
|
||||
evt = convert_to_protocol_event((), "values", {})
|
||||
assert evt is not None
|
||||
assert evt["type"] == "event"
|
||||
|
||||
|
||||
def test_stream_v2_modes_complete():
|
||||
assert set(STREAM_V2_MODES) == {
|
||||
"values",
|
||||
"updates",
|
||||
"messages",
|
||||
"custom",
|
||||
"checkpoints",
|
||||
"tasks",
|
||||
"debug",
|
||||
}
|
||||
@@ -0,0 +1,133 @@
|
||||
import asyncio
|
||||
|
||||
import pytest
|
||||
|
||||
from langgraph.stream._event_log import EventLog
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_push_and_iterate_in_order():
|
||||
log = EventLog()
|
||||
log.append("a")
|
||||
log.append("b")
|
||||
log.append("c")
|
||||
log.close()
|
||||
items = [item async for item in aiter(log)]
|
||||
assert items == ["a", "b", "c"]
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_multiple_independent_cursors():
|
||||
log = EventLog()
|
||||
log.append("x")
|
||||
log.append("y")
|
||||
log.close()
|
||||
items1 = [item async for item in aiter(log)]
|
||||
items2 = [item async for item in aiter(log)]
|
||||
assert items1 == ["x", "y"]
|
||||
assert items2 == ["x", "y"]
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_close_ends_iteration():
|
||||
log = EventLog()
|
||||
log.close()
|
||||
items = [item async for item in aiter(log)]
|
||||
assert items == []
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_fail_raises_error():
|
||||
log = EventLog()
|
||||
log.fail(RuntimeError("boom"))
|
||||
with pytest.raises(RuntimeError, match="boom"):
|
||||
async for _ in aiter(log):
|
||||
pass
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_concurrent_push_and_iterate():
|
||||
log = EventLog()
|
||||
received = []
|
||||
|
||||
async def consumer():
|
||||
async for item in aiter(log):
|
||||
received.append(item)
|
||||
|
||||
async def producer():
|
||||
for i in range(5):
|
||||
log.append(i)
|
||||
await asyncio.sleep(0.01)
|
||||
log.close()
|
||||
|
||||
await asyncio.gather(producer(), consumer())
|
||||
assert received == [0, 1, 2, 3, 4]
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_items_before_cursor_visible():
|
||||
log = EventLog()
|
||||
log.append("a")
|
||||
log.append("b")
|
||||
cursor = aiter(log)
|
||||
log.append("c")
|
||||
log.close()
|
||||
items = [item async for item in cursor]
|
||||
assert items == ["a", "b", "c"]
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_empty_log_closed_yields_nothing():
|
||||
log = EventLog()
|
||||
log.close()
|
||||
items = [item async for item in aiter(log)]
|
||||
assert items == []
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_fail_mid_iteration():
|
||||
"""A cursor that has consumed some items should raise when fail() is called."""
|
||||
log = EventLog()
|
||||
received = []
|
||||
|
||||
async def consumer():
|
||||
async for item in aiter(log):
|
||||
received.append(item)
|
||||
|
||||
async def producer():
|
||||
log.append("a")
|
||||
log.append("b")
|
||||
await asyncio.sleep(0.02)
|
||||
log.fail(RuntimeError("mid-stream error"))
|
||||
|
||||
with pytest.raises(RuntimeError, match="mid-stream error"):
|
||||
await asyncio.gather(producer(), consumer())
|
||||
assert received == ["a", "b"]
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_abandoned_cursor_cleans_up_waiters():
|
||||
"""Abandoned async cursors should not leave stale futures in the
|
||||
EventLog waiter list.
|
||||
|
||||
When a cursor's __anext__ is cancelled (e.g. consumer breaks out of
|
||||
``async for``), the Future it registered in ``_waiters`` should be
|
||||
cleaned up. Otherwise the list grows without bound until the next
|
||||
append/close/fail triggers ``_wake_all()``.
|
||||
"""
|
||||
log: EventLog[str] = EventLog()
|
||||
|
||||
for _ in range(10):
|
||||
cursor = aiter(log)
|
||||
task = asyncio.ensure_future(cursor.__anext__())
|
||||
await asyncio.sleep(0) # let task register its waiter
|
||||
task.cancel()
|
||||
try:
|
||||
await task
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
|
||||
assert len(log._waiters) == 0, (
|
||||
f"Expected 0 waiters after abandoning 10 cursors, "
|
||||
f"got {len(log._waiters)}. Abandoned cursors leak futures."
|
||||
)
|
||||
@@ -0,0 +1,293 @@
|
||||
from typing import Any
|
||||
|
||||
import pytest
|
||||
|
||||
from langgraph.stream._convert import convert_to_protocol_event
|
||||
from langgraph.stream._mux import AsyncStreamMux, StreamMux
|
||||
from langgraph.stream._types import ProtocolEvent
|
||||
from langgraph.stream.stream_channel import StreamChannel
|
||||
|
||||
|
||||
def _event(mode: str, data: Any, ns: list[str] | None = None) -> ProtocolEvent:
|
||||
ev = convert_to_protocol_event(tuple(ns or []), mode, data)
|
||||
assert ev is not None
|
||||
return ev
|
||||
|
||||
|
||||
class _MockTransformer:
|
||||
def __init__(self, *, suppress: bool = False):
|
||||
self.calls: list[ProtocolEvent] = []
|
||||
self._suppress = suppress
|
||||
|
||||
def init(self) -> Any:
|
||||
return None
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
self.calls.append(event)
|
||||
return not self._suppress
|
||||
|
||||
def finalize(self) -> None:
|
||||
pass
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
pass
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_events_through_reducer_pipeline():
|
||||
reducer = _MockTransformer()
|
||||
mux = StreamMux(transformers=[reducer])
|
||||
event = _event("values", {"key": "val"})
|
||||
mux.push(event)
|
||||
assert len(reducer.calls) == 1
|
||||
assert reducer.calls[0] is event
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_reducer_suppresses_event():
|
||||
reducer = _MockTransformer(suppress=True)
|
||||
mux = StreamMux(transformers=[reducer])
|
||||
mux.push(_event("values", {"x": 1}))
|
||||
mux.close()
|
||||
assert len(reducer.calls) == 1
|
||||
assert len(mux.event_log) == 0
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_namespace_discovery():
|
||||
mux = StreamMux()
|
||||
mux.push(_event("values", {"a": 1}, ns=["child:0"]))
|
||||
assert "child:0" in mux._discovered_ns
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_top_level_ns_only():
|
||||
mux = StreamMux()
|
||||
mux.push(_event("values", {"a": 1}, ns=["agent:0", "tools:1"]))
|
||||
assert "agent:0" in mux._discovered_ns
|
||||
assert "tools:1" not in mux._discovered_ns
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_subscribe_events_filter():
|
||||
mux = AsyncStreamMux()
|
||||
mux.push(_event("values", {"a": 1}, ns=["child:0"]))
|
||||
mux.push(_event("values", {"b": 2}, ns=["other:1"]))
|
||||
mux.push(_event("values", {"c": 3}, ns=["child:0"]))
|
||||
mux.close()
|
||||
|
||||
collected = []
|
||||
async for ev in mux.subscribe_events(["child:0"]):
|
||||
collected.append(ev)
|
||||
assert len(collected) == 2
|
||||
assert collected[0]["params"]["data"] == {"a": 1}
|
||||
assert collected[1]["params"]["data"] == {"c": 3}
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_close_resolves_output():
|
||||
mux = AsyncStreamMux()
|
||||
fut = mux.get_output_future()
|
||||
mux.push(_event("values", {"v": 1}))
|
||||
mux.push(_event("values", {"v": 2}))
|
||||
mux.close()
|
||||
result = await fut
|
||||
assert result == {"v": 2}
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_fail_rejects_output():
|
||||
mux = AsyncStreamMux()
|
||||
fut = mux.get_output_future()
|
||||
mux.fail(ValueError("boom"))
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
await fut
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_latest_values_tracked():
|
||||
mux = StreamMux()
|
||||
mux.push(_event("values", {"v": 1}, ns=["child:0"]))
|
||||
mux.push(_event("values", {"v": 2}, ns=["child:0"]))
|
||||
assert mux.get_latest_values(["child:0"]) == {"v": 2}
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_interrupt_tracking():
|
||||
"""StreamMux should track __interrupt__ payloads in values events."""
|
||||
|
||||
class _FakeInterrupt:
|
||||
def __init__(self, id: str, payload: Any):
|
||||
self.id = id
|
||||
self.payload = payload
|
||||
|
||||
mux = StreamMux()
|
||||
interrupt_obj = _FakeInterrupt("int-1", "what do you want?")
|
||||
mux.push(
|
||||
_event(
|
||||
"values",
|
||||
{"__interrupt__": [interrupt_obj]},
|
||||
)
|
||||
)
|
||||
assert mux.interrupted is True
|
||||
assert len(mux.interrupts) == 1
|
||||
assert mux.interrupts[0]["interrupt_id"] == "int-1"
|
||||
assert mux.interrupts[0]["payload"] is interrupt_obj
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_no_interrupt_by_default():
|
||||
mux = StreamMux()
|
||||
mux.push(_event("values", {"x": 1}))
|
||||
mux.close()
|
||||
assert mux.interrupted is False
|
||||
assert mux.interrupts == []
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_push_after_close_ignored():
|
||||
mux = StreamMux()
|
||||
mux.push(_event("values", {"a": 1}))
|
||||
mux.close()
|
||||
mux.push(_event("values", {"b": 2}))
|
||||
assert len(mux.event_log) == 1
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_fail_rejects_all_futures():
|
||||
mux = AsyncStreamMux()
|
||||
fut1 = mux.get_output_future([])
|
||||
fut2 = mux.get_output_future(["child:0"])
|
||||
mux.fail(ValueError("boom"))
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
await fut1
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
await fut2
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_channel_events_bypass_transformer_pipeline():
|
||||
"""Events emitted via ``StreamChannel.push()`` are appended directly
|
||||
to the event log, bypassing the transformer pipeline. This matches
|
||||
the JS implementation and avoids re-entrancy bugs.
|
||||
"""
|
||||
mock = _MockTransformer()
|
||||
mux = AsyncStreamMux(transformers=[mock])
|
||||
|
||||
channel: StreamChannel[str] = StreamChannel("my_channel")
|
||||
mux.wire_channels({"ch": channel})
|
||||
|
||||
# Regular push — transformer sees it
|
||||
mux.push(_event("values", {"a": 1}))
|
||||
assert len(mock.calls) == 1
|
||||
|
||||
# Channel push — bypasses transformers, goes straight to event log
|
||||
channel.push("hello from channel")
|
||||
|
||||
assert len(mock.calls) == 1, (
|
||||
f"Transformer saw {len(mock.calls)} events (expected 1). "
|
||||
"Channel events should bypass the transformer pipeline."
|
||||
)
|
||||
|
||||
# But the event IS in the log
|
||||
mux.close()
|
||||
events = []
|
||||
async for ev in mux.subscribe_events():
|
||||
events.append(ev)
|
||||
assert len(events) == 2
|
||||
assert events[1]["method"] == "my_channel"
|
||||
assert events[1]["params"]["data"] == "hello from channel"
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_event_log_has_monotonic_seq_numbers():
|
||||
"""All events in the event log should have strictly monotonically
|
||||
increasing seq numbers so consumers can reason about ordering.
|
||||
|
||||
Events from ``mux.push()`` carry seq numbers assigned by the pump
|
||||
while channel-emitted events use a separate counter
|
||||
(``_next_emit_seq``). When interleaved, seq numbers can duplicate.
|
||||
"""
|
||||
mux = AsyncStreamMux()
|
||||
channel: StreamChannel[str] = StreamChannel("test_ch")
|
||||
mux.wire_channels({"ch": channel})
|
||||
|
||||
mux.push(_event("values", {"a": 1})) # log seq: 0
|
||||
channel.push("from_channel") # log seq: 0 (from _next_emit_seq)
|
||||
mux.push(_event("values", {"b": 2})) # log seq: 1
|
||||
mux.close()
|
||||
|
||||
seqs: list[int] = []
|
||||
async for event in mux.subscribe_events():
|
||||
seqs.append(event["seq"])
|
||||
|
||||
assert len(seqs) == 3, f"Expected 3 events but got {len(seqs)}"
|
||||
|
||||
for i in range(1, len(seqs)):
|
||||
assert seqs[i] > seqs[i - 1], (
|
||||
f"Seq numbers not strictly monotonic: {seqs}. "
|
||||
f"seq[{i}]={seqs[i]} <= seq[{i - 1}]={seqs[i - 1]}. "
|
||||
"Channel events use a separate counter from push() events."
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_channel_push_during_process_preserves_namespace():
|
||||
"""When two transformers both call channel.push() during the same
|
||||
outer mux.push(), the second transformer's channel event should
|
||||
still carry the original event's namespace.
|
||||
|
||||
Bug: the first channel.push() re-enters mux.push(), which resets
|
||||
``_current_namespace`` to ``[]`` on exit. The second transformer's
|
||||
channel.push() then reads the clobbered value and its event gets
|
||||
``namespace: []`` instead of the original.
|
||||
"""
|
||||
|
||||
class _ChannelTransformer:
|
||||
"""Pushes to its channel whenever it sees a ``values`` event."""
|
||||
|
||||
def __init__(self, name: str) -> None:
|
||||
self.name = name
|
||||
self.channel: StreamChannel[str] = StreamChannel(name)
|
||||
|
||||
def init(self) -> Any:
|
||||
return {self.name: self.channel}
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
if event["method"] == "values":
|
||||
self.channel.push(f"from_{self.name}")
|
||||
return True
|
||||
|
||||
def finalize(self) -> None:
|
||||
pass
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
pass
|
||||
|
||||
t1 = _ChannelTransformer("first")
|
||||
t2 = _ChannelTransformer("second")
|
||||
mux = AsyncStreamMux(transformers=[t1, t2])
|
||||
mux.wire_channels({"first": t1.channel})
|
||||
mux.wire_channels({"second": t2.channel})
|
||||
|
||||
# Push a values event with a non-root namespace
|
||||
mux.push(_event("values", {"x": 1}, ns=["agent:0"]))
|
||||
mux.close()
|
||||
|
||||
# Collect channel events emitted by each transformer
|
||||
channel_events: list[ProtocolEvent] = []
|
||||
async for ev in mux.subscribe_events():
|
||||
if ev["method"] in ("first", "second"):
|
||||
channel_events.append(ev)
|
||||
|
||||
assert len(channel_events) == 2, (
|
||||
f"Expected 2 channel events but got {len(channel_events)}"
|
||||
)
|
||||
|
||||
for ev in channel_events:
|
||||
assert ev["params"]["namespace"] == ["agent:0"], (
|
||||
f"Channel event for method={ev['method']!r} has "
|
||||
f"namespace={ev['params']['namespace']!r}, expected ['agent:0']. "
|
||||
"The nested mux.push() from the first channel.push() clobbered "
|
||||
"_current_namespace before the second transformer ran."
|
||||
)
|
||||
@@ -0,0 +1,214 @@
|
||||
from typing import Any
|
||||
|
||||
import pytest
|
||||
|
||||
from langgraph.stream._convert import convert_to_protocol_event
|
||||
from langgraph.stream._types import ProtocolEvent
|
||||
from langgraph.stream.chat_model_stream import ChatModelStream
|
||||
from langgraph.stream.transformers import MessagesTransformer, ValuesTransformer
|
||||
|
||||
|
||||
def _event(
|
||||
mode: str,
|
||||
data: Any,
|
||||
ns: list[str] | None = None,
|
||||
node: str | None = None,
|
||||
) -> ProtocolEvent:
|
||||
ev = convert_to_protocol_event(tuple(ns or []), mode, data, node=node)
|
||||
assert ev is not None
|
||||
return ev
|
||||
|
||||
|
||||
# -- ValuesTransformer ---------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_values_captures_values_events():
|
||||
reducer = ValuesTransformer()
|
||||
reducer.init()
|
||||
reducer.process(_event("values", {"a": 1}))
|
||||
reducer.process(_event("values", {"b": 2}))
|
||||
reducer.finalize()
|
||||
|
||||
collected = []
|
||||
async for item in reducer.values_log:
|
||||
collected.append(item)
|
||||
assert len(collected) == 2
|
||||
assert collected[0]["data"] == {"a": 1}
|
||||
assert collected[1]["data"] == {"b": 2}
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_values_ignores_other_modes():
|
||||
reducer = ValuesTransformer()
|
||||
reducer.init()
|
||||
reducer.process(_event("updates", {"x": 1}))
|
||||
reducer.process(_event("messages", {"event": "message-start"}))
|
||||
reducer.finalize()
|
||||
|
||||
collected = []
|
||||
async for item in reducer.values_log:
|
||||
collected.append(item)
|
||||
assert len(collected) == 0
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_values_latest_per_namespace():
|
||||
reducer = ValuesTransformer()
|
||||
reducer.init()
|
||||
reducer.process(_event("values", {"v": 1}, ns=["child:0"]))
|
||||
reducer.process(_event("values", {"v": 2}, ns=["child:0"]))
|
||||
assert reducer.get_latest("child:0") == {"v": 2}
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_values_finalize_closes_log():
|
||||
reducer = ValuesTransformer()
|
||||
reducer.init()
|
||||
reducer.process(_event("values", {"a": 1}))
|
||||
reducer.finalize()
|
||||
assert reducer.values_log.closed
|
||||
|
||||
|
||||
# -- MessagesTransformer -------------------------------------------------------
|
||||
|
||||
|
||||
def _msg_start(ns=None, node=None, message_id="msg-1"):
|
||||
return _event(
|
||||
"messages",
|
||||
{"event": "message-start", "message_id": message_id},
|
||||
ns=ns,
|
||||
node=node,
|
||||
)
|
||||
|
||||
|
||||
def _content_delta(text, ns=None, node=None):
|
||||
return _event(
|
||||
"messages",
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"content_block": {"type": "text", "text": text},
|
||||
},
|
||||
ns=ns,
|
||||
node=node,
|
||||
)
|
||||
|
||||
|
||||
def _msg_finish(ns=None, node=None):
|
||||
return _event(
|
||||
"messages",
|
||||
{"event": "message-finish", "reason": "stop"},
|
||||
ns=ns,
|
||||
node=node,
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_messages_groups_lifecycle():
|
||||
reducer = MessagesTransformer()
|
||||
reducer.init()
|
||||
reducer.process(_msg_start())
|
||||
reducer.process(_content_delta("hi"))
|
||||
reducer.process(_msg_finish())
|
||||
reducer.finalize()
|
||||
|
||||
collected = []
|
||||
async for stream in reducer.messages_log:
|
||||
collected.append(stream)
|
||||
assert len(collected) == 1
|
||||
assert isinstance(collected[0], ChatModelStream)
|
||||
assert collected[0].done
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_messages_multiple_sequential():
|
||||
reducer = MessagesTransformer()
|
||||
reducer.init()
|
||||
reducer.process(_msg_start(message_id="m1"))
|
||||
reducer.process(_msg_finish())
|
||||
reducer.process(_msg_start(message_id="m2"))
|
||||
reducer.process(_msg_finish())
|
||||
reducer.finalize()
|
||||
|
||||
collected = []
|
||||
async for stream in reducer.messages_log:
|
||||
collected.append(stream)
|
||||
assert len(collected) == 2
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_messages_namespace_filter():
|
||||
reducer = MessagesTransformer(namespace=["root"])
|
||||
reducer.init()
|
||||
reducer.process(_msg_start(ns=["root"]))
|
||||
reducer.process(_msg_finish(ns=["root"]))
|
||||
reducer.process(_msg_start(ns=["other"], message_id="m2"))
|
||||
reducer.process(_msg_finish(ns=["other"]))
|
||||
reducer.finalize()
|
||||
|
||||
collected = []
|
||||
async for stream in reducer.messages_log:
|
||||
collected.append(stream)
|
||||
assert len(collected) == 1
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_messages_node_filter():
|
||||
reducer = MessagesTransformer(node_filter="agent")
|
||||
reducer.init()
|
||||
reducer.process(_msg_start(node="agent"))
|
||||
reducer.process(_msg_finish(node="agent"))
|
||||
reducer.process(_msg_start(node="tools", message_id="m2"))
|
||||
reducer.process(_msg_finish(node="tools"))
|
||||
reducer.finalize()
|
||||
|
||||
collected = []
|
||||
async for stream in reducer.messages_log:
|
||||
collected.append(stream)
|
||||
assert len(collected) == 1
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_messages_error_event():
|
||||
"""An error event should fail the active ChatModelStream."""
|
||||
reducer = MessagesTransformer()
|
||||
reducer.init()
|
||||
reducer.process(_msg_start())
|
||||
reducer.process(_content_delta("partial"))
|
||||
reducer.process(
|
||||
_event("messages", {"event": "error", "message": "connection lost"}),
|
||||
)
|
||||
reducer.finalize()
|
||||
|
||||
collected: list[ChatModelStream] = []
|
||||
async for stream in reducer.messages_log:
|
||||
collected.append(stream)
|
||||
assert len(collected) == 1
|
||||
assert collected[0].done
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_messages_fail_propagates_to_active():
|
||||
"""transformer.fail() should propagate the error to any active streams."""
|
||||
reducer = MessagesTransformer()
|
||||
reducer.init()
|
||||
reducer.process(_msg_start())
|
||||
reducer.process(_content_delta("partial"))
|
||||
reducer.fail(RuntimeError("graph failed"))
|
||||
|
||||
# The messages log should be failed too
|
||||
with pytest.raises(RuntimeError, match="graph failed"):
|
||||
async for _ in reducer.messages_log:
|
||||
pass
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_values_fail_propagates():
|
||||
reducer = ValuesTransformer()
|
||||
reducer.init()
|
||||
reducer.process(_event("values", {"a": 1}))
|
||||
reducer.fail(RuntimeError("graph failed"))
|
||||
|
||||
with pytest.raises(RuntimeError, match="graph failed"):
|
||||
async for _ in reducer.values_log:
|
||||
pass
|
||||
@@ -0,0 +1,980 @@
|
||||
import asyncio
|
||||
from collections.abc import AsyncIterator, Iterator
|
||||
from typing import Any
|
||||
|
||||
import pytest
|
||||
|
||||
from langgraph.stream._mux import AsyncStreamMux
|
||||
from langgraph.stream._types import ProtocolEvent
|
||||
from langgraph.stream.chat_model_stream import ChatModelStream
|
||||
from langgraph.stream.run_stream import (
|
||||
AsyncGraphRunStream,
|
||||
AsyncSubgraphRunStream,
|
||||
SubgraphRunStream,
|
||||
create_async_graph_run_stream,
|
||||
create_graph_run_stream,
|
||||
)
|
||||
from langgraph.stream.transformers import MessagesTransformer, ValuesTransformer
|
||||
|
||||
|
||||
async def _mock_source(
|
||||
chunks: list[tuple[tuple[str, ...], str, Any]],
|
||||
) -> AsyncIterator[tuple[tuple[str, ...], str, Any]]:
|
||||
for chunk in chunks:
|
||||
yield chunk
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_aiter_yields_all_events():
|
||||
chunks = [
|
||||
((), "values", {"step": 1}),
|
||||
((), "values", {"step": 2}),
|
||||
((), "updates", {"node": "a"}),
|
||||
]
|
||||
run = await create_async_graph_run_stream(_mock_source(chunks))
|
||||
await asyncio.sleep(0.05)
|
||||
|
||||
collected: list[ProtocolEvent] = []
|
||||
async for event in run:
|
||||
collected.append(event)
|
||||
assert len(collected) == 3
|
||||
assert collected[0]["method"] == "values"
|
||||
assert collected[2]["method"] == "updates"
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_subgraph_name_and_index():
|
||||
vr, mr = ValuesTransformer(), MessagesTransformer()
|
||||
mux = AsyncStreamMux(transformers=[vr, mr])
|
||||
sub = AsyncSubgraphRunStream(
|
||||
mux=mux,
|
||||
namespace=["researcher:2"],
|
||||
transformers=[vr, mr],
|
||||
)
|
||||
assert sub.name == "researcher"
|
||||
assert sub.index == 2
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_subgraph_name_no_index():
|
||||
vr, mr = ValuesTransformer(), MessagesTransformer()
|
||||
mux = AsyncStreamMux(transformers=[vr, mr])
|
||||
sub = AsyncSubgraphRunStream(
|
||||
mux=mux, namespace=["agent"], transformers=[vr, mr]
|
||||
)
|
||||
assert sub.name == "agent"
|
||||
assert sub.index == 0
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_values_iterable():
|
||||
chunks = [
|
||||
((), "values", {"v": 1}),
|
||||
((), "values", {"v": 2}),
|
||||
]
|
||||
run = await create_async_graph_run_stream(_mock_source(chunks))
|
||||
await asyncio.sleep(0.05)
|
||||
|
||||
collected = []
|
||||
async for v in run.values:
|
||||
collected.append(v)
|
||||
assert len(collected) == 2
|
||||
assert collected[0] == {"v": 1}
|
||||
assert collected[1] == {"v": 2}
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_values_awaitable():
|
||||
chunks = [
|
||||
((), "values", {"v": 1}),
|
||||
((), "values", {"v": 2}),
|
||||
]
|
||||
run = await create_async_graph_run_stream(_mock_source(chunks))
|
||||
await asyncio.sleep(0.05)
|
||||
|
||||
result = await run.values
|
||||
assert result == {"v": 2}
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_output_resolves():
|
||||
chunks = [((), "values", {"final": True})]
|
||||
run = await create_async_graph_run_stream(_mock_source(chunks))
|
||||
await asyncio.sleep(0.05)
|
||||
result = await run.output
|
||||
assert result == {"final": True}
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_messages_yields_streams():
|
||||
chunks = [
|
||||
((), "messages", {"event": "message-start", "message_id": "m1"}),
|
||||
(
|
||||
(),
|
||||
"messages",
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"content_block": {"type": "text", "text": "hi"},
|
||||
},
|
||||
),
|
||||
((), "messages", {"event": "message-finish", "reason": "stop"}),
|
||||
]
|
||||
run = await create_async_graph_run_stream(_mock_source(chunks))
|
||||
await asyncio.sleep(0.05)
|
||||
|
||||
collected: list[ChatModelStream] = []
|
||||
async for stream in run.messages:
|
||||
collected.append(stream)
|
||||
assert len(collected) == 1
|
||||
assert isinstance(collected[0], ChatModelStream)
|
||||
assert collected[0].done
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_interrupted_false_by_default():
|
||||
vr, mr = ValuesTransformer(), MessagesTransformer()
|
||||
mux = AsyncStreamMux(transformers=[vr, mr])
|
||||
run = AsyncGraphRunStream(mux=mux, transformers=[vr, mr])
|
||||
assert run.interrupted is False
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_abort_sets_signal():
|
||||
vr, mr = ValuesTransformer(), MessagesTransformer()
|
||||
mux = AsyncStreamMux(transformers=[vr, mr])
|
||||
run = AsyncGraphRunStream(mux=mux, transformers=[vr, mr])
|
||||
assert not run.signal.is_set()
|
||||
run.abort()
|
||||
assert run.signal.is_set()
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_abort_stops_pump():
|
||||
"""Calling abort() should stop the pump from processing further chunks."""
|
||||
gate = asyncio.Event()
|
||||
|
||||
async def _gated_source():
|
||||
yield ((), "values", {"v": 1})
|
||||
yield ((), "values", {"v": 2})
|
||||
await gate.wait() # Block until released
|
||||
yield ((), "values", {"v": 3}) # Should not be processed
|
||||
|
||||
run = await create_async_graph_run_stream(_gated_source())
|
||||
await asyncio.sleep(0.05) # Let first two events through
|
||||
run.abort()
|
||||
gate.set() # Unblock the source so the pump can check abort and exit
|
||||
await asyncio.sleep(0.05) # Let pump close the mux
|
||||
|
||||
collected = []
|
||||
async for event in run:
|
||||
if event["method"] == "values":
|
||||
collected.append(event["params"]["data"])
|
||||
# v:3 should not have been processed because abort was set
|
||||
assert all(v.get("v") != 3 for v in collected)
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_messages_from_filters_by_node():
|
||||
"""messages_from(node) should only yield messages from the specified node."""
|
||||
chunks = [
|
||||
(
|
||||
(),
|
||||
"messages",
|
||||
{"event": "message-start", "message_id": "m1", "__node__": "agent"},
|
||||
),
|
||||
(
|
||||
(),
|
||||
"messages",
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"content_block": {"type": "text", "text": "from agent"},
|
||||
"__node__": "agent",
|
||||
},
|
||||
),
|
||||
(
|
||||
(),
|
||||
"messages",
|
||||
{"event": "message-finish", "reason": "stop", "__node__": "agent"},
|
||||
),
|
||||
(
|
||||
(),
|
||||
"messages",
|
||||
{"event": "message-start", "message_id": "m2", "__node__": "tools"},
|
||||
),
|
||||
(
|
||||
(),
|
||||
"messages",
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"content_block": {"type": "text", "text": "from tools"},
|
||||
"__node__": "tools",
|
||||
},
|
||||
),
|
||||
(
|
||||
(),
|
||||
"messages",
|
||||
{"event": "message-finish", "reason": "stop", "__node__": "tools"},
|
||||
),
|
||||
]
|
||||
run = await create_async_graph_run_stream(_mock_source(chunks))
|
||||
await asyncio.sleep(0.05)
|
||||
|
||||
agent_msgs: list[ChatModelStream] = []
|
||||
async for stream in run.messages_from("agent"):
|
||||
agent_msgs.append(stream)
|
||||
assert len(agent_msgs) == 1
|
||||
assert agent_msgs[0].node == "agent"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# GraphRunStream / create_graph_run_stream
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _sync_source(
|
||||
chunks: list[tuple[tuple[str, ...], str, Any]],
|
||||
) -> Iterator[tuple[tuple[str, ...], str, Any]]:
|
||||
yield from chunks
|
||||
|
||||
|
||||
def test_sync_create_yields_all_events():
|
||||
chunks = [
|
||||
((), "values", {"step": 1}),
|
||||
((), "values", {"step": 2}),
|
||||
((), "updates", {"node": "a"}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
collected = list(run)
|
||||
assert len(collected) == 3
|
||||
assert collected[0]["method"] == "values"
|
||||
assert collected[2]["method"] == "updates"
|
||||
|
||||
|
||||
def test_sync_output():
|
||||
chunks = [
|
||||
((), "values", {"v": 1}),
|
||||
((), "values", {"v": 2}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
assert run.output == {"v": 2}
|
||||
|
||||
|
||||
def test_sync_values_iteration():
|
||||
chunks = [
|
||||
((), "values", {"v": 1}),
|
||||
((), "values", {"v": 2}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
collected = list(run.values)
|
||||
assert len(collected) == 2
|
||||
assert collected[0] == {"v": 1}
|
||||
assert collected[1] == {"v": 2}
|
||||
|
||||
|
||||
def test_sync_messages():
|
||||
chunks = [
|
||||
((), "messages", {"event": "message-start", "message_id": "m1"}),
|
||||
(
|
||||
(),
|
||||
"messages",
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"content_block": {"type": "text", "text": "hi"},
|
||||
},
|
||||
),
|
||||
((), "messages", {"event": "message-finish", "reason": "stop"}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
collected = list(run.messages)
|
||||
assert len(collected) == 1
|
||||
assert isinstance(collected[0], ChatModelStream)
|
||||
assert collected[0].done
|
||||
|
||||
|
||||
def test_sync_messages_text_streaming():
|
||||
"""Sync consumers can iterate msg.text for deltas."""
|
||||
chunks = [
|
||||
((), "messages", {"event": "message-start", "message_id": "m1"}),
|
||||
(
|
||||
(),
|
||||
"messages",
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"content_block": {"type": "text", "text": "Hello"},
|
||||
},
|
||||
),
|
||||
(
|
||||
(),
|
||||
"messages",
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"content_block": {"type": "text", "text": " world"},
|
||||
},
|
||||
),
|
||||
((), "messages", {"event": "message-finish", "reason": "stop"}),
|
||||
]
|
||||
|
||||
# Iterate deltas
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
for msg in run.messages:
|
||||
deltas = list(msg.text)
|
||||
assert deltas == ["Hello", " world"]
|
||||
assert msg.done
|
||||
|
||||
# str() returns full text
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
for msg in run.messages:
|
||||
assert str(msg.text) == "Hello world"
|
||||
|
||||
# After message is done, .text returns plain str
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
for msg in run.messages:
|
||||
list(msg.text) # exhaust deltas
|
||||
assert isinstance(msg.text, str)
|
||||
assert msg.text == "Hello world"
|
||||
|
||||
|
||||
def test_sync_messages_multiple():
|
||||
"""Multiple sync messages each stream their own deltas."""
|
||||
chunks = [
|
||||
((), "messages", {"event": "message-start", "message_id": "m1"}),
|
||||
(
|
||||
(),
|
||||
"messages",
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"content_block": {"type": "text", "text": "answer"},
|
||||
},
|
||||
),
|
||||
((), "messages", {"event": "message-finish", "reason": "stop"}),
|
||||
((), "messages", {"event": "message-start", "message_id": "m2"}),
|
||||
(
|
||||
(),
|
||||
"messages",
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"content_block": {"type": "text", "text": "second"},
|
||||
},
|
||||
),
|
||||
((), "messages", {"event": "message-finish", "reason": "stop"}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
|
||||
all_deltas = []
|
||||
for msg in run.messages:
|
||||
all_deltas.append(list(msg.text))
|
||||
assert all_deltas == [["answer"], ["second"]]
|
||||
|
||||
|
||||
def test_sync_output_mapper():
|
||||
chunks = [((), "values", {"v": 1})]
|
||||
run = create_graph_run_stream(
|
||||
_sync_source(chunks), output_mapper=lambda x: {"mapped": x["v"]}
|
||||
)
|
||||
assert run.output == {"mapped": 1}
|
||||
|
||||
|
||||
def test_sync_interrupted_false():
|
||||
chunks = [((), "values", {"v": 1})]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
assert run.interrupted is False
|
||||
|
||||
|
||||
def test_sync_source_error():
|
||||
"""If the source raises, the mux should fail and the error should propagate."""
|
||||
|
||||
def _bad_source():
|
||||
yield ((), "values", {"v": 1})
|
||||
raise ValueError("source error")
|
||||
|
||||
run = create_graph_run_stream(_bad_source())
|
||||
collected = list(run)
|
||||
# Events before the error are still accessible
|
||||
assert len(collected) >= 1
|
||||
assert collected[0]["method"] == "values"
|
||||
# The mux recorded the failure
|
||||
assert run._mux._error is not None
|
||||
assert isinstance(run._mux._error, ValueError)
|
||||
assert "source error" in str(run._mux._error)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# GraphRunStream — lazy consumption tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_sync_lazy_not_consumed_on_creation():
|
||||
"""Source iterator should not be consumed when the stream is created."""
|
||||
consumed = 0
|
||||
|
||||
def counting_source():
|
||||
nonlocal consumed
|
||||
for chunk in [
|
||||
((), "values", {"v": 1}),
|
||||
((), "values", {"v": 2}),
|
||||
((), "values", {"v": 3}),
|
||||
]:
|
||||
consumed += 1
|
||||
yield chunk
|
||||
|
||||
create_graph_run_stream(counting_source())
|
||||
assert consumed == 0
|
||||
|
||||
|
||||
def test_sync_lazy_values_pull_incrementally():
|
||||
"""Iterating .values should pull from the source one event at a time."""
|
||||
consumed = 0
|
||||
|
||||
def counting_source():
|
||||
nonlocal consumed
|
||||
for chunk in [
|
||||
((), "values", {"v": 1}),
|
||||
((), "values", {"v": 2}),
|
||||
((), "values", {"v": 3}),
|
||||
]:
|
||||
consumed += 1
|
||||
yield chunk
|
||||
|
||||
run = create_graph_run_stream(counting_source())
|
||||
assert consumed == 0
|
||||
|
||||
it = iter(run.values)
|
||||
v = next(it)
|
||||
assert v == {"v": 1}
|
||||
assert consumed == 1
|
||||
|
||||
v = next(it)
|
||||
assert v == {"v": 2}
|
||||
assert consumed == 2
|
||||
|
||||
# Source not fully drained yet
|
||||
assert consumed < 3
|
||||
|
||||
|
||||
def test_sync_lazy_output_drains_all():
|
||||
"""Accessing .output should drain the entire source."""
|
||||
consumed = 0
|
||||
|
||||
def counting_source():
|
||||
nonlocal consumed
|
||||
for chunk in [((), "values", {"v": i}) for i in range(5)]:
|
||||
consumed += 1
|
||||
yield chunk
|
||||
|
||||
run = create_graph_run_stream(counting_source())
|
||||
assert consumed == 0
|
||||
assert run.output == {"v": 4}
|
||||
assert consumed == 5
|
||||
|
||||
|
||||
def test_sync_lazy_early_break():
|
||||
"""Breaking out of a projection early should leave the source partially consumed."""
|
||||
consumed = 0
|
||||
|
||||
def counting_source():
|
||||
nonlocal consumed
|
||||
for chunk in [((), "values", {"v": i}) for i in range(10)]:
|
||||
consumed += 1
|
||||
yield chunk
|
||||
|
||||
run = create_graph_run_stream(counting_source())
|
||||
for v in run.values:
|
||||
break # consume only the first value
|
||||
assert consumed == 1
|
||||
assert consumed < 10
|
||||
|
||||
|
||||
def test_sync_lazy_interleaved_projections():
|
||||
"""Switching between projections replays buffered items then resumes pumping."""
|
||||
consumed = 0
|
||||
|
||||
def counting_source():
|
||||
nonlocal consumed
|
||||
for chunk in [
|
||||
((), "values", {"v": 1}),
|
||||
((), "messages", {"event": "message-start", "message_id": "m1"}),
|
||||
((), "messages", {"event": "message-finish", "reason": "stop"}),
|
||||
((), "values", {"v": 2}),
|
||||
]:
|
||||
consumed += 1
|
||||
yield chunk
|
||||
|
||||
run = create_graph_run_stream(counting_source())
|
||||
|
||||
# Pull first value — consumes 1 source item
|
||||
vit = iter(run.values)
|
||||
assert next(vit) == {"v": 1}
|
||||
assert consumed == 1
|
||||
|
||||
# Pull first message — yielded on message-start (item 2).
|
||||
# Consuming str(msg.text) drives the pump to message-finish (item 3).
|
||||
mit = iter(run.messages)
|
||||
msg = next(mit)
|
||||
assert isinstance(msg, ChatModelStream)
|
||||
assert consumed == 2
|
||||
assert not msg.done
|
||||
str(msg.text) # pump until message completes
|
||||
assert msg.done
|
||||
assert consumed == 3
|
||||
|
||||
# Pull second value — pumps values (item 4)
|
||||
assert next(vit) == {"v": 2}
|
||||
assert consumed == 4
|
||||
|
||||
|
||||
def test_sync_lazy_iter_pulls_incrementally():
|
||||
"""Raw __iter__ should pull from the source lazily."""
|
||||
consumed = 0
|
||||
|
||||
def counting_source():
|
||||
nonlocal consumed
|
||||
for chunk in [
|
||||
((), "values", {"v": 1}),
|
||||
((), "updates", {"node": "a"}),
|
||||
((), "values", {"v": 2}),
|
||||
]:
|
||||
consumed += 1
|
||||
yield chunk
|
||||
|
||||
run = create_graph_run_stream(counting_source())
|
||||
it = iter(run)
|
||||
event = next(it)
|
||||
assert event["method"] == "values"
|
||||
assert consumed == 1
|
||||
|
||||
event = next(it)
|
||||
assert event["method"] == "updates"
|
||||
assert consumed == 2
|
||||
|
||||
|
||||
def test_sync_lazy_source_error():
|
||||
"""If the source raises mid-stream, earlier events are still accessible."""
|
||||
consumed = 0
|
||||
|
||||
def bad_source():
|
||||
nonlocal consumed
|
||||
consumed += 1
|
||||
yield ((), "values", {"v": 1})
|
||||
raise ValueError("boom")
|
||||
|
||||
run = create_graph_run_stream(bad_source())
|
||||
collected = list(run)
|
||||
assert len(collected) >= 1
|
||||
assert collected[0]["method"] == "values"
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_subgraph_child_values_receive_post_discovery_events():
|
||||
"""Child AsyncSubgraphRunStream.values iteration should include events
|
||||
that arrive AFTER the subgraph namespace is first discovered.
|
||||
|
||||
``_SubgraphsProjection`` creates a local ``ValuesTransformer`` for
|
||||
each child and replays existing events, but never registers the
|
||||
transformer with the mux. Events that arrive after discovery are
|
||||
not routed to it, and ``finalize()`` is not called (the mux wasn't
|
||||
closed at discovery time), so the child's values_log is never
|
||||
closed and iteration hangs.
|
||||
"""
|
||||
gate = asyncio.Event()
|
||||
|
||||
async def _source() -> AsyncIterator[tuple[tuple[str, ...], str, Any]]:
|
||||
# First event from child namespace — triggers discovery
|
||||
yield (("child:0",), "values", {"v": 1})
|
||||
await gate.wait()
|
||||
# Second event from same child — arrives after discovery
|
||||
yield (("child:0",), "values", {"v": 2})
|
||||
# Root event so the mux tracks output
|
||||
yield ((), "values", {"done": True})
|
||||
|
||||
run = await create_async_graph_run_stream(_source())
|
||||
await asyncio.sleep(0.05) # let pump process first event
|
||||
|
||||
# Get the first subgraph while the mux is still open
|
||||
sub = None
|
||||
async for s in run.subgraphs:
|
||||
sub = s
|
||||
break
|
||||
|
||||
assert sub is not None
|
||||
|
||||
# Release the gate so the pump finishes
|
||||
gate.set()
|
||||
await asyncio.sleep(0.05) # let pump close mux
|
||||
|
||||
# ``await sub.output`` uses the mux's output future — works fine
|
||||
output = await sub.output
|
||||
assert output == {"v": 2}, "await sub.output should reflect the latest value"
|
||||
|
||||
# But ``async for v in sub.values`` only gets the replayed event
|
||||
# and then hangs because the child's values_log is never closed.
|
||||
values: list[Any] = []
|
||||
try:
|
||||
async with asyncio.timeout(1.0):
|
||||
async for v in sub.values:
|
||||
values.append(v)
|
||||
except (asyncio.TimeoutError, TimeoutError):
|
||||
pass
|
||||
|
||||
assert len(values) == 2, (
|
||||
f"Expected 2 child value snapshots but got {len(values)}: {values}. "
|
||||
"Child transformer missed post-discovery events."
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# SubgraphRunStream — sync subgraph tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_sync_subgraphs_discovery():
|
||||
"""Iterating .subgraphs should discover child namespaces and yield
|
||||
SubgraphRunStream instances with correct name and index.
|
||||
"""
|
||||
chunks = [
|
||||
(("agent:0",), "values", {"v": 1}),
|
||||
(("agent:1",), "values", {"v": 2}),
|
||||
((), "values", {"done": True}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
subs = list(run.subgraphs)
|
||||
assert len(subs) == 2
|
||||
assert all(isinstance(s, SubgraphRunStream) for s in subs)
|
||||
assert subs[0].name == "agent"
|
||||
assert subs[0].index == 0
|
||||
assert subs[1].name == "agent"
|
||||
assert subs[1].index == 1
|
||||
|
||||
|
||||
def test_sync_subgraph_name_no_index():
|
||||
"""Subgraph without a colon-delimited index should have index=0."""
|
||||
chunks = [
|
||||
(("planner",), "values", {"v": 1}),
|
||||
((), "values", {"done": True}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
subs = list(run.subgraphs)
|
||||
assert len(subs) == 1
|
||||
assert subs[0].name == "planner"
|
||||
assert subs[0].index == 0
|
||||
|
||||
|
||||
def test_sync_subgraph_no_subgraphs():
|
||||
"""When all events are root-level, .subgraphs should yield nothing."""
|
||||
chunks = [
|
||||
((), "values", {"v": 1}),
|
||||
((), "values", {"v": 2}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
subs = list(run.subgraphs)
|
||||
assert subs == []
|
||||
|
||||
|
||||
def test_sync_subgraph_values():
|
||||
"""SubgraphRunStream.values should yield only values from the child namespace."""
|
||||
chunks = [
|
||||
(("child:0",), "values", {"v": 1}),
|
||||
((), "values", {"root": True}),
|
||||
(("child:0",), "values", {"v": 2}),
|
||||
((), "values", {"done": True}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
for sub in run.subgraphs:
|
||||
vals = list(sub.values)
|
||||
assert vals == [{"v": 1}, {"v": 2}]
|
||||
|
||||
|
||||
def test_sync_subgraph_values_multiple_children():
|
||||
"""Each child stream should only see its own values."""
|
||||
chunks = [
|
||||
(("a:0",), "values", {"who": "a0"}),
|
||||
(("b:0",), "values", {"who": "b0"}),
|
||||
(("a:0",), "values", {"who": "a0-2"}),
|
||||
((), "values", {"done": True}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
children: dict[str, list[Any]] = {}
|
||||
for sub in run.subgraphs:
|
||||
children[f"{sub.name}:{sub.index}"] = list(sub.values)
|
||||
|
||||
assert children["a:0"] == [{"who": "a0"}, {"who": "a0-2"}]
|
||||
assert children["b:0"] == [{"who": "b0"}]
|
||||
|
||||
|
||||
def test_sync_subgraph_output():
|
||||
"""SubgraphRunStream.output should return the last values for the child."""
|
||||
chunks = [
|
||||
(("child:0",), "values", {"v": 1}),
|
||||
(("child:0",), "values", {"v": 2}),
|
||||
((), "values", {"done": True}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
for sub in run.subgraphs:
|
||||
assert sub.output == {"v": 2}
|
||||
|
||||
|
||||
def test_sync_subgraph_output_with_mapper():
|
||||
"""Output mapper should apply to subgraph output."""
|
||||
chunks = [
|
||||
(("child:0",), "values", {"v": 42}),
|
||||
((), "values", {"done": True}),
|
||||
]
|
||||
run = create_graph_run_stream(
|
||||
_sync_source(chunks), output_mapper=lambda x: {"mapped": x.get("v")}
|
||||
)
|
||||
for sub in run.subgraphs:
|
||||
assert sub.output == {"mapped": 42}
|
||||
|
||||
|
||||
def test_sync_subgraph_values_with_mapper():
|
||||
"""Output mapper should apply to each yielded value snapshot."""
|
||||
chunks = [
|
||||
(("child:0",), "values", {"v": 1}),
|
||||
(("child:0",), "values", {"v": 2}),
|
||||
((), "values", {"done": True}),
|
||||
]
|
||||
run = create_graph_run_stream(
|
||||
_sync_source(chunks), output_mapper=lambda x: {"m": x.get("v")}
|
||||
)
|
||||
for sub in run.subgraphs:
|
||||
vals = list(sub.values)
|
||||
assert vals == [{"m": 1}, {"m": 2}]
|
||||
|
||||
|
||||
def test_sync_subgraph_messages():
|
||||
"""SubgraphRunStream.messages should yield fully populated ChatModelStream instances."""
|
||||
chunks = [
|
||||
(
|
||||
("agent:0",),
|
||||
"messages",
|
||||
{"event": "message-start", "message_id": "m1", "__node__": "agent"},
|
||||
),
|
||||
(
|
||||
("agent:0",),
|
||||
"messages",
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"content_block": {"type": "text", "text": "hello"},
|
||||
"__node__": "agent",
|
||||
},
|
||||
),
|
||||
(
|
||||
("agent:0",),
|
||||
"messages",
|
||||
{"event": "message-finish", "reason": "stop", "__node__": "agent"},
|
||||
),
|
||||
((), "values", {"done": True}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
for sub in run.subgraphs:
|
||||
msgs = list(sub.messages)
|
||||
assert len(msgs) == 1
|
||||
assert isinstance(msgs[0], ChatModelStream)
|
||||
assert msgs[0].done
|
||||
assert msgs[0].text == "hello"
|
||||
|
||||
|
||||
def test_sync_subgraph_messages_isolated():
|
||||
"""Messages from different subgraphs should not leak between children."""
|
||||
chunks = [
|
||||
(
|
||||
("a:0",),
|
||||
"messages",
|
||||
{"event": "message-start", "message_id": "m-a", "__node__": "a"},
|
||||
),
|
||||
(
|
||||
("a:0",),
|
||||
"messages",
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"content_block": {"type": "text", "text": "from-a"},
|
||||
"__node__": "a",
|
||||
},
|
||||
),
|
||||
(
|
||||
("a:0",),
|
||||
"messages",
|
||||
{"event": "message-finish", "reason": "stop", "__node__": "a"},
|
||||
),
|
||||
(
|
||||
("b:0",),
|
||||
"messages",
|
||||
{"event": "message-start", "message_id": "m-b", "__node__": "b"},
|
||||
),
|
||||
(
|
||||
("b:0",),
|
||||
"messages",
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"content_block": {"type": "text", "text": "from-b"},
|
||||
"__node__": "b",
|
||||
},
|
||||
),
|
||||
(
|
||||
("b:0",),
|
||||
"messages",
|
||||
{"event": "message-finish", "reason": "stop", "__node__": "b"},
|
||||
),
|
||||
((), "values", {"done": True}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
msg_texts: dict[str, list[str]] = {}
|
||||
for sub in run.subgraphs:
|
||||
msg_texts[sub.name] = [str(m.text) for m in sub.messages]
|
||||
|
||||
assert msg_texts["a"] == ["from-a"]
|
||||
assert msg_texts["b"] == ["from-b"]
|
||||
|
||||
|
||||
def test_sync_subgraph_raw_iter():
|
||||
"""Iterating a SubgraphRunStream directly should yield events scoped
|
||||
to the child namespace.
|
||||
"""
|
||||
chunks = [
|
||||
(("child:0",), "values", {"v": 1}),
|
||||
((), "values", {"root": True}),
|
||||
(("child:0",), "updates", {"node": "x"}),
|
||||
((), "values", {"done": True}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
for sub in run.subgraphs:
|
||||
events = list(sub)
|
||||
methods = [e["method"] for e in events]
|
||||
assert "values" in methods
|
||||
assert "updates" in methods
|
||||
# Root events should not appear
|
||||
for e in events:
|
||||
assert e["params"]["namespace"] == ["child:0"]
|
||||
|
||||
|
||||
def test_sync_subgraph_events_after_discovery():
|
||||
"""Events arriving after a namespace is first discovered should still
|
||||
be visible in the child's values iteration.
|
||||
"""
|
||||
chunks = [
|
||||
(("child:0",), "values", {"v": 1}), # triggers discovery
|
||||
((), "values", {"root": 1}),
|
||||
(("child:0",), "values", {"v": 2}), # after discovery
|
||||
(("child:0",), "values", {"v": 3}), # after discovery
|
||||
((), "values", {"done": True}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
for sub in run.subgraphs:
|
||||
vals = list(sub.values)
|
||||
assert vals == [{"v": 1}, {"v": 2}, {"v": 3}]
|
||||
|
||||
|
||||
def test_sync_subgraph_lazy_pump():
|
||||
"""Subgraph iteration should pump the source lazily."""
|
||||
consumed = 0
|
||||
|
||||
def counting_source():
|
||||
nonlocal consumed
|
||||
for chunk in [
|
||||
(("child:0",), "values", {"v": 1}),
|
||||
(("child:0",), "values", {"v": 2}),
|
||||
(("child:0",), "values", {"v": 3}),
|
||||
((), "values", {"done": True}),
|
||||
]:
|
||||
consumed += 1
|
||||
yield chunk
|
||||
|
||||
run = create_graph_run_stream(counting_source())
|
||||
assert consumed == 0
|
||||
|
||||
for sub in run.subgraphs:
|
||||
# Discovery pumped the first event
|
||||
it = iter(sub.values)
|
||||
v = next(it)
|
||||
assert v == {"v": 1}
|
||||
# Should not have consumed everything yet
|
||||
assert consumed < 4
|
||||
break # don't exhaust subgraphs
|
||||
|
||||
|
||||
def test_sync_subgraph_interleave_parent_values():
|
||||
"""Parent values and subgraph values should both be accessible
|
||||
when interleaving iteration.
|
||||
"""
|
||||
chunks = [
|
||||
((), "values", {"root": 1}),
|
||||
(("child:0",), "values", {"child": 1}),
|
||||
((), "values", {"root": 2}),
|
||||
(("child:0",), "values", {"child": 2}),
|
||||
((), "values", {"root": 3}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
|
||||
# First drain parent values
|
||||
root_vals = list(run.values)
|
||||
assert root_vals == [{"root": 1}, {"root": 2}, {"root": 3}]
|
||||
|
||||
# Source is exhausted, but subgraph transformers were registered
|
||||
# via replay — subgraph iteration should still see buffered events
|
||||
# Note: subgraphs must be iterated while source is being pumped
|
||||
# to discover namespaces. Since we drained via values, namespace
|
||||
# "child:0" was already discovered. But subgraphs iteration also
|
||||
# needs to pump — and the source is exhausted. Let's verify it
|
||||
# yields the discovered child.
|
||||
subs = list(run.subgraphs)
|
||||
assert len(subs) == 1
|
||||
assert subs[0].name == "child"
|
||||
# The child transformer was registered via replay, so it saw the events
|
||||
vals = list(subs[0].values)
|
||||
assert vals == [{"child": 1}, {"child": 2}]
|
||||
|
||||
|
||||
def test_sync_subgraph_interrupted():
|
||||
"""Subgraph .interrupted should reflect the mux's interrupt state."""
|
||||
|
||||
class _FakeInterrupt:
|
||||
def __init__(self, id: str):
|
||||
self.id = id
|
||||
|
||||
chunks = [
|
||||
(("child:0",), "values", {"__interrupt__": [_FakeInterrupt("i1")]}),
|
||||
((), "values", {"done": True}),
|
||||
]
|
||||
run = create_graph_run_stream(_sync_source(chunks))
|
||||
for sub in run.subgraphs:
|
||||
# Pump to process the interrupt
|
||||
_ = sub.output
|
||||
assert sub.interrupted is True
|
||||
assert len(sub.interrupts) == 1
|
||||
|
||||
|
||||
def test_sync_subgraph_source_error():
|
||||
"""If the source raises mid-stream, subgraphs that were already
|
||||
discovered should still have their buffered data.
|
||||
"""
|
||||
|
||||
def bad_source():
|
||||
yield (("child:0",), "values", {"v": 1})
|
||||
yield (("child:0",), "values", {"v": 2})
|
||||
raise ValueError("boom")
|
||||
|
||||
run = create_graph_run_stream(bad_source())
|
||||
for sub in run.subgraphs:
|
||||
vals = list(sub.values)
|
||||
assert vals == [{"v": 1}, {"v": 2}]
|
||||
assert run._mux._error is not None
|
||||
|
||||
|
||||
def test_sync_subgraph_output_drains_source():
|
||||
"""Accessing subgraph .output should drain the full source."""
|
||||
consumed = 0
|
||||
|
||||
def counting_source():
|
||||
nonlocal consumed
|
||||
for chunk in [
|
||||
(("child:0",), "values", {"v": 1}),
|
||||
(("child:0",), "values", {"v": 2}),
|
||||
((), "values", {"done": True}),
|
||||
]:
|
||||
consumed += 1
|
||||
yield chunk
|
||||
|
||||
run = create_graph_run_stream(counting_source())
|
||||
for sub in run.subgraphs:
|
||||
result = sub.output
|
||||
assert result == {"v": 2}
|
||||
assert consumed == 3
|
||||
@@ -0,0 +1,420 @@
|
||||
"""Prove V1 and StreamingHandler APIs expose identical information.
|
||||
|
||||
Each test runs the same graph through both APIs and asserts data
|
||||
equivalence — same state snapshots, same messages, same custom events,
|
||||
same interrupts. Sync APIs are used where possible; async tests cover
|
||||
features without sync equivalents (subgraphs projection, messages_from).
|
||||
|
||||
Run with:
|
||||
TEST=tests/test_streaming_comparison.py make test
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Annotated
|
||||
|
||||
import pytest
|
||||
from langchain_core.messages import AIMessage, HumanMessage
|
||||
from langgraph.checkpoint.memory import MemorySaver
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.config import get_stream_writer
|
||||
from langgraph.graph import END, START, MessagesState, StateGraph
|
||||
from langgraph.stream import StreamingHandler
|
||||
from langgraph.stream._convert import STREAM_V2_MODES
|
||||
from langgraph.types import interrupt
|
||||
from tests.fake_chat import FakeChatModel
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Graph factories
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class State(TypedDict):
|
||||
value: str
|
||||
items: Annotated[list[str], lambda a, b: a + b]
|
||||
|
||||
|
||||
def _linear_graph(n_nodes: int = 3):
|
||||
"""Chain of *n_nodes* that concatenate strings."""
|
||||
g = StateGraph(State)
|
||||
names = [f"node_{i}" for i in range(n_nodes)]
|
||||
for name in names:
|
||||
|
||||
def make_fn(n):
|
||||
def fn(state: State) -> dict:
|
||||
return {"value": state["value"] + f"_{n}", "items": [n]}
|
||||
|
||||
return fn
|
||||
|
||||
g.add_node(name, make_fn(name))
|
||||
|
||||
g.add_edge(START, names[0])
|
||||
for i in range(len(names) - 1):
|
||||
g.add_edge(names[i], names[i + 1])
|
||||
g.add_edge(names[-1], END)
|
||||
return g.compile()
|
||||
|
||||
|
||||
def _chat_graph():
|
||||
"""Single agent node with a FakeChatModel."""
|
||||
model = FakeChatModel(messages=[AIMessage(content="Hello from agent")])
|
||||
|
||||
def agent(state: dict) -> dict:
|
||||
return {"messages": [model.invoke(state["messages"])]}
|
||||
|
||||
g = StateGraph(MessagesState)
|
||||
g.add_node("agent", agent)
|
||||
g.add_edge(START, "agent")
|
||||
g.add_edge("agent", END)
|
||||
return g.compile()
|
||||
|
||||
|
||||
def _multi_node_chat_graph():
|
||||
"""Two LLM nodes: agent -> reviewer."""
|
||||
agent_model = FakeChatModel(messages=[AIMessage(content="Agent reply")])
|
||||
reviewer_model = FakeChatModel(messages=[AIMessage(content="Reviewer reply")])
|
||||
|
||||
def agent(state: dict) -> dict:
|
||||
return {"messages": [agent_model.invoke(state["messages"])]}
|
||||
|
||||
def reviewer(state: dict) -> dict:
|
||||
return {"messages": [reviewer_model.invoke(state["messages"])]}
|
||||
|
||||
g = StateGraph(MessagesState)
|
||||
g.add_node("agent", agent)
|
||||
g.add_node("reviewer", reviewer)
|
||||
g.add_edge(START, "agent")
|
||||
g.add_edge("agent", "reviewer")
|
||||
g.add_edge("reviewer", END)
|
||||
return g.compile()
|
||||
|
||||
|
||||
def _custom_events_graph():
|
||||
"""Node that emits custom events via StreamWriter."""
|
||||
|
||||
def worker(state: State) -> dict:
|
||||
writer = get_stream_writer()
|
||||
writer({"step": 1, "msg": "started"})
|
||||
writer({"step": 2, "msg": "processing"})
|
||||
writer({"step": 3, "msg": "done"})
|
||||
return {"value": state["value"] + "_done", "items": ["done"]}
|
||||
|
||||
g = StateGraph(State)
|
||||
g.add_node("worker", worker)
|
||||
g.add_edge(START, "worker")
|
||||
g.add_edge("worker", END)
|
||||
return g.compile()
|
||||
|
||||
|
||||
def _interrupt_graph():
|
||||
"""Graph that interrupts for human input."""
|
||||
|
||||
def ask_human(state: State) -> dict:
|
||||
answer = interrupt("What next?")
|
||||
return {"value": state["value"] + f"_{answer}", "items": [answer]}
|
||||
|
||||
g = StateGraph(State)
|
||||
g.add_node("ask", ask_human)
|
||||
g.add_edge(START, "ask")
|
||||
g.add_edge("ask", END)
|
||||
return g.compile(checkpointer=MemorySaver())
|
||||
|
||||
|
||||
def _subgraph():
|
||||
"""Parent with a compiled child subgraph."""
|
||||
|
||||
class ChildState(TypedDict):
|
||||
value: str
|
||||
|
||||
class ParentState(TypedDict):
|
||||
value: str
|
||||
|
||||
def child_node(state: ChildState) -> dict:
|
||||
return {"value": state["value"] + "_child"}
|
||||
|
||||
child = StateGraph(ChildState)
|
||||
child.add_node("inner", child_node)
|
||||
child.add_edge(START, "inner")
|
||||
child.add_edge("inner", END)
|
||||
child_compiled = child.compile()
|
||||
|
||||
parent = StateGraph(ParentState)
|
||||
parent.add_node("child", child_compiled)
|
||||
parent.add_edge(START, "child")
|
||||
parent.add_edge("child", END)
|
||||
return parent.compile()
|
||||
|
||||
|
||||
# ===================================================================
|
||||
# 1. Final output
|
||||
# ===================================================================
|
||||
|
||||
|
||||
def test_output():
|
||||
"""graph.invoke() produces the same result as StreamingHandler().stream().output."""
|
||||
graph = _linear_graph()
|
||||
inp = {"value": "x", "items": []}
|
||||
|
||||
v1 = graph.invoke(inp)
|
||||
|
||||
run = StreamingHandler(graph).stream(inp)
|
||||
v2 = run.output
|
||||
|
||||
assert v1 == v2
|
||||
|
||||
|
||||
# ===================================================================
|
||||
# 2. Intermediate state snapshots (values mode)
|
||||
# ===================================================================
|
||||
|
||||
|
||||
def test_values():
|
||||
"""stream(mode='values') snapshots == StreamingHandler().stream().values snapshots."""
|
||||
graph = _linear_graph()
|
||||
inp = {"value": "x", "items": []}
|
||||
|
||||
v1 = list(graph.stream(inp, stream_mode="values"))
|
||||
|
||||
run = StreamingHandler(graph).stream(inp)
|
||||
v2 = list(run.values)
|
||||
|
||||
assert v1 == v2
|
||||
|
||||
|
||||
# ===================================================================
|
||||
# 3. Per-node updates (updates mode)
|
||||
# ===================================================================
|
||||
|
||||
|
||||
def test_updates():
|
||||
"""stream(mode='updates') data == StreamingHandler raw events[method=updates]."""
|
||||
graph = _linear_graph()
|
||||
inp = {"value": "x", "items": []}
|
||||
|
||||
v1 = list(graph.stream(inp, stream_mode="updates"))
|
||||
|
||||
run = StreamingHandler(graph).stream(inp)
|
||||
v2 = [
|
||||
e["params"]["data"]
|
||||
for e in run
|
||||
if e["method"] == "updates" and not e["params"]["namespace"]
|
||||
]
|
||||
|
||||
assert v1 == v2
|
||||
|
||||
|
||||
# ===================================================================
|
||||
# 4. Message text and node attribution
|
||||
# ===================================================================
|
||||
|
||||
|
||||
def test_messages():
|
||||
"""Reassembled V1 message text per node == V2 .messages text per node."""
|
||||
graph = _multi_node_chat_graph()
|
||||
inp = {"messages": [HumanMessage(content="hi")]}
|
||||
|
||||
# V1: collect (chunk, metadata) pairs, group text by node
|
||||
v1_text_by_node: dict[str, list[str]] = {}
|
||||
for chunk, metadata in graph.stream(inp, stream_mode="messages"):
|
||||
node = metadata["langgraph_node"]
|
||||
v1_text_by_node.setdefault(node, []).append(chunk.content)
|
||||
v1_text = {k: "".join(v) for k, v in v1_text_by_node.items()}
|
||||
|
||||
# V2: each ChatModelStream has .text and .node
|
||||
run = StreamingHandler(graph).stream(inp)
|
||||
v2_text: dict[str, str] = {}
|
||||
for msg in run.messages:
|
||||
assert msg.done is True
|
||||
v2_text[msg.node] = msg.text
|
||||
|
||||
assert v1_text == v2_text
|
||||
|
||||
|
||||
# ===================================================================
|
||||
# 5. Custom events
|
||||
# ===================================================================
|
||||
|
||||
|
||||
def test_custom_events():
|
||||
"""stream(mode='custom') payloads == StreamingHandler raw events[method=custom]."""
|
||||
graph = _custom_events_graph()
|
||||
inp = {"value": "x", "items": []}
|
||||
|
||||
v1 = list(graph.stream(inp, stream_mode="custom"))
|
||||
|
||||
run = StreamingHandler(graph).stream(inp)
|
||||
v2 = [
|
||||
e["params"]["data"]
|
||||
for e in run
|
||||
if e["method"] == "custom" and not e["params"]["namespace"]
|
||||
]
|
||||
|
||||
assert v1 == v2
|
||||
|
||||
|
||||
# ===================================================================
|
||||
# 6. Mode coverage
|
||||
# ===================================================================
|
||||
|
||||
|
||||
def test_mode_coverage():
|
||||
"""V2 produces events for the same set of modes as V1."""
|
||||
graph = _chat_graph()
|
||||
inp = {"messages": [HumanMessage(content="hi")]}
|
||||
|
||||
# V1: request all modes, collect which ones appear
|
||||
v1_modes: set[str] = set()
|
||||
for ns, mode, _ in graph.stream(
|
||||
inp, stream_mode=STREAM_V2_MODES, subgraphs=True, version="v1"
|
||||
):
|
||||
if not ns:
|
||||
v1_modes.add(mode)
|
||||
|
||||
# V2: iterate raw events, collect methods
|
||||
run = StreamingHandler(graph).stream(inp)
|
||||
v2_modes = {e["method"] for e in run if not e["params"]["namespace"]}
|
||||
|
||||
assert v1_modes == v2_modes
|
||||
|
||||
|
||||
# ===================================================================
|
||||
# 7. Interrupt detection
|
||||
# ===================================================================
|
||||
|
||||
|
||||
def test_interrupts():
|
||||
"""V1 __interrupt__ value == V2 .interrupted and .interrupts payload."""
|
||||
graph = _interrupt_graph()
|
||||
inp = {"value": "x", "items": []}
|
||||
|
||||
# V1: detect __interrupt__ in values stream
|
||||
config1 = {"configurable": {"thread_id": "equiv-1"}}
|
||||
v1_interrupt_value = None
|
||||
for chunk in graph.stream(inp, config1, stream_mode="values"):
|
||||
if isinstance(chunk, dict) and "__interrupt__" in chunk:
|
||||
info = chunk["__interrupt__"]
|
||||
if info:
|
||||
v1_interrupt_value = info[0].value
|
||||
|
||||
assert v1_interrupt_value is not None
|
||||
|
||||
# V2: .interrupted and .interrupts (fresh thread)
|
||||
config2 = {"configurable": {"thread_id": "equiv-2"}}
|
||||
run = StreamingHandler(graph).stream(inp, config=config2)
|
||||
for _ in run:
|
||||
pass
|
||||
|
||||
assert run.interrupted is True
|
||||
assert len(run.interrupts) > 0
|
||||
v2_interrupt_value = run.interrupts[0]["payload"].value
|
||||
|
||||
assert v1_interrupt_value == v2_interrupt_value
|
||||
|
||||
|
||||
# ===================================================================
|
||||
# 8. Subgraph state snapshots
|
||||
# ===================================================================
|
||||
|
||||
|
||||
def test_subgraph_values():
|
||||
"""V1 child namespace values == V2 child namespace values."""
|
||||
graph = _subgraph()
|
||||
inp = {"value": "x"}
|
||||
|
||||
# V1: stream with subgraphs=True, collect child values
|
||||
v1_child_values = []
|
||||
for ns, data in graph.stream(inp, stream_mode="values", subgraphs=True):
|
||||
if ns:
|
||||
v1_child_values.append(data)
|
||||
|
||||
# V2: filter raw events for child namespace + values mode
|
||||
run = StreamingHandler(graph).stream(inp)
|
||||
v2_child_values = [
|
||||
e["params"]["data"]
|
||||
for e in run
|
||||
if e["method"] == "values" and e["params"]["namespace"]
|
||||
]
|
||||
|
||||
assert v1_child_values == v2_child_values
|
||||
|
||||
|
||||
# ===================================================================
|
||||
# 9. Node filtering on messages
|
||||
# ===================================================================
|
||||
|
||||
|
||||
def test_messages_node_filtering():
|
||||
"""V1 manual metadata filter == V2 .messages filtered by .node."""
|
||||
graph = _multi_node_chat_graph()
|
||||
inp = {"messages": [HumanMessage(content="hi")]}
|
||||
|
||||
# V1: manual filter for "agent" node only
|
||||
v1_agent_text: list[str] = []
|
||||
for chunk, metadata in graph.stream(inp, stream_mode="messages"):
|
||||
if metadata.get("langgraph_node") == "agent":
|
||||
v1_agent_text.append(chunk.content)
|
||||
v1_text = "".join(v1_agent_text)
|
||||
|
||||
# V2: filter .messages by .node
|
||||
run = StreamingHandler(graph).stream(inp)
|
||||
v2_agent_msgs = [msg for msg in run.messages if msg.node == "agent"]
|
||||
assert len(v2_agent_msgs) == 1
|
||||
v2_text = v2_agent_msgs[0].text
|
||||
|
||||
assert v1_text == v2_text
|
||||
|
||||
|
||||
# ===================================================================
|
||||
# 10. Async: subgraphs projection
|
||||
# ===================================================================
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_subgraph_projection():
|
||||
"""V2 .subgraphs child output matches V1 child namespace output."""
|
||||
graph = _subgraph()
|
||||
inp = {"value": "x"}
|
||||
|
||||
# V1
|
||||
v1_child_output = None
|
||||
async for ns, data in graph.astream(inp, stream_mode="values", subgraphs=True):
|
||||
if ns:
|
||||
v1_child_output = data
|
||||
|
||||
# V2: .subgraphs yields typed child stream objects
|
||||
run = await StreamingHandler(graph).astream(inp)
|
||||
v2_child_output = None
|
||||
async for sub in run.subgraphs:
|
||||
v2_child_output = await sub.output
|
||||
|
||||
assert v1_child_output == v2_child_output
|
||||
|
||||
|
||||
# ===================================================================
|
||||
# 11. Async: messages_from projection
|
||||
# ===================================================================
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_messages_from():
|
||||
"""V2 .messages_from('agent') text matches V1 filtered by metadata."""
|
||||
graph = _multi_node_chat_graph()
|
||||
inp = {"messages": [HumanMessage(content="hi")]}
|
||||
|
||||
# V1: manual filter for agent node
|
||||
v1_agent_text: list[str] = []
|
||||
async for chunk, metadata in graph.astream(inp, stream_mode="messages"):
|
||||
if metadata.get("langgraph_node") == "agent":
|
||||
v1_agent_text.append(chunk.content)
|
||||
v1_text = "".join(v1_agent_text)
|
||||
|
||||
# V2: declarative node filtering
|
||||
run = await StreamingHandler(graph).astream(inp)
|
||||
v2_texts: list[str] = []
|
||||
async for msg in run.messages_from("agent"):
|
||||
v2_texts.append(await msg.text)
|
||||
assert len(v2_texts) == 1
|
||||
v2_text = v2_texts[0]
|
||||
|
||||
assert v1_text == v2_text
|
||||
Generated
+53
-51
@@ -524,61 +524,61 @@ toml = [
|
||||
|
||||
[[package]]
|
||||
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[[package]]
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{ url = "https://files.pythonhosted.org/packages/03/36/76704c4f312257d6dbaae3c959add2a622f63fcca9d864659ce6d8d97d3d/ruff-0.15.9-py3-none-win_arm64.whl", hash = "sha256:0694e601c028fd97dc5c6ee244675bc241aeefced7ef80cd9c6935a871078f53", size = 11005870, upload-time = "2026-04-02T18:17:15.773Z" },
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||||
|
||||
[[package]]
|
||||
|
||||
@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
|
||||
from langgraph_sdk.encryption import Encryption
|
||||
from langgraph_sdk.encryption.types import EncryptionContext
|
||||
|
||||
__version__ = "0.3.12"
|
||||
__version__ = "0.3.13"
|
||||
|
||||
__all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
|
||||
|
||||
@@ -12,7 +12,10 @@ from typing import Any, cast
|
||||
import httpx
|
||||
import orjson
|
||||
|
||||
from langgraph_sdk._shared.utilities import _orjson_default
|
||||
from langgraph_sdk._shared.utilities import (
|
||||
_orjson_default,
|
||||
_validate_reconnect_location,
|
||||
)
|
||||
from langgraph_sdk.errors import _araise_for_status_typed
|
||||
from langgraph_sdk.schema import QueryParamTypes, StreamPart
|
||||
from langgraph_sdk.sse import SSEDecoder, aiter_lines_raw
|
||||
@@ -164,6 +167,7 @@ class HttpClient:
|
||||
loc = r.headers.get("location")
|
||||
if reconnect_limit <= 0 or not loc:
|
||||
return await _adecode_json(r)
|
||||
_validate_reconnect_location(self.client.base_url, loc)
|
||||
try:
|
||||
return await _adecode_json(r)
|
||||
except httpx.HTTPError:
|
||||
@@ -242,6 +246,9 @@ class HttpClient:
|
||||
|
||||
reconnect_location = res.headers.get("location")
|
||||
if reconnect_location:
|
||||
_validate_reconnect_location(
|
||||
self.client.base_url, reconnect_location
|
||||
)
|
||||
reconnect_path = reconnect_location
|
||||
|
||||
# parse SSE
|
||||
|
||||
@@ -26,6 +26,7 @@ from langgraph_sdk.schema import (
|
||||
Durability,
|
||||
IfNotExists,
|
||||
Input,
|
||||
LangSmithTracing,
|
||||
MultitaskStrategy,
|
||||
OnCompletionBehavior,
|
||||
QueryParamTypes,
|
||||
@@ -93,6 +94,7 @@ class RunsClient:
|
||||
multitask_strategy: MultitaskStrategy | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -124,6 +126,7 @@ class RunsClient:
|
||||
multitask_strategy: MultitaskStrategy | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -152,6 +155,7 @@ class RunsClient:
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
webhook: str | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -180,6 +184,7 @@ class RunsClient:
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
webhook: str | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -211,6 +216,7 @@ class RunsClient:
|
||||
multitask_strategy: MultitaskStrategy | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -250,6 +256,8 @@ class RunsClient:
|
||||
Must be either 'reject' (raise error if missing), or 'create' (create new thread).
|
||||
after_seconds: The number of seconds to wait before starting the run.
|
||||
Use to schedule future runs.
|
||||
langsmith_tracing: LangSmith tracing configuration. Allows routing traces
|
||||
to a specific project or associating with a dataset example.
|
||||
headers: Optional custom headers to include with the request.
|
||||
params: Optional query parameters to include with the request.
|
||||
on_run_created: Callback when a run is created.
|
||||
@@ -326,6 +334,7 @@ class RunsClient:
|
||||
"on_completion": on_completion,
|
||||
"after_seconds": after_seconds,
|
||||
"durability": durability,
|
||||
"langsmith_tracer": langsmith_tracing,
|
||||
}
|
||||
endpoint = (
|
||||
f"/threads/{thread_id}/runs/stream"
|
||||
@@ -371,6 +380,7 @@ class RunsClient:
|
||||
on_completion: OnCompletionBehavior | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -399,6 +409,7 @@ class RunsClient:
|
||||
multitask_strategy: MultitaskStrategy | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -427,6 +438,7 @@ class RunsClient:
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
on_completion: OnCompletionBehavior | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -462,6 +474,8 @@ class RunsClient:
|
||||
Must be either 'reject' (raise error if missing), or 'create' (create new thread).
|
||||
after_seconds: The number of seconds to wait before starting the run.
|
||||
Use to schedule future runs.
|
||||
langsmith_tracing: LangSmith tracing configuration. Allows routing traces
|
||||
to a specific project or associating with a dataset example.
|
||||
headers: Optional custom headers to include with the request.
|
||||
on_run_created: Optional callback to call when a run is created.
|
||||
durability: The durability to use for the run. Values are "sync", "async", or "exit".
|
||||
@@ -572,6 +586,7 @@ class RunsClient:
|
||||
"on_completion": on_completion,
|
||||
"after_seconds": after_seconds,
|
||||
"durability": durability,
|
||||
"langsmith_tracer": langsmith_tracing,
|
||||
}
|
||||
payload = {k: v for k, v in payload.items() if v is not None}
|
||||
|
||||
@@ -626,6 +641,7 @@ class RunsClient:
|
||||
multitask_strategy: MultitaskStrategy | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
raise_error: bool = True,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
@@ -651,6 +667,7 @@ class RunsClient:
|
||||
on_completion: OnCompletionBehavior | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
raise_error: bool = True,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
@@ -678,6 +695,7 @@ class RunsClient:
|
||||
multitask_strategy: MultitaskStrategy | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
raise_error: bool = True,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
@@ -712,6 +730,8 @@ class RunsClient:
|
||||
Must be either 'reject' (raise error if missing), or 'create' (create new thread).
|
||||
after_seconds: The number of seconds to wait before starting the run.
|
||||
Use to schedule future runs.
|
||||
langsmith_tracing: LangSmith tracing configuration. Allows routing traces
|
||||
to a specific project or associating with a dataset example.
|
||||
headers: Optional custom headers to include with the request.
|
||||
on_run_created: Optional callback to call when a run is created.
|
||||
durability: The durability to use for the run. Values are "sync", "async", or "exit".
|
||||
@@ -798,6 +818,7 @@ class RunsClient:
|
||||
"on_completion": on_completion,
|
||||
"after_seconds": after_seconds,
|
||||
"durability": durability,
|
||||
"langsmith_tracer": langsmith_tracing,
|
||||
}
|
||||
endpoint = (
|
||||
f"/threads/{thread_id}/runs/wait" if thread_id is not None else "/runs/wait"
|
||||
|
||||
@@ -8,6 +8,7 @@ import re
|
||||
from collections.abc import Mapping
|
||||
from datetime import tzinfo
|
||||
from typing import TYPE_CHECKING, Any, cast
|
||||
from urllib.parse import urlparse
|
||||
|
||||
import httpx
|
||||
|
||||
@@ -158,6 +159,40 @@ def _resolve_timezone(tz: str | tzinfo | ZoneInfo | None) -> str | None:
|
||||
)
|
||||
|
||||
|
||||
def _default_port(scheme: str) -> int:
|
||||
return 443 if scheme == "https" else 80
|
||||
|
||||
|
||||
def _validate_reconnect_location(base_url: httpx.URL, location: str) -> str:
|
||||
"""Validate that a reconnect Location URL is same-origin as the base URL.
|
||||
|
||||
Raises ValueError if the Location header points to a different origin
|
||||
(scheme + host + port), which would leak credentials to an external server.
|
||||
"""
|
||||
parsed = urlparse(location)
|
||||
# Relative URLs are safe — they resolve against the base
|
||||
if not parsed.scheme and not parsed.netloc:
|
||||
return location
|
||||
# Compare origin components (normalize default ports to avoid mismatches)
|
||||
base_scheme = str(base_url.scheme)
|
||||
base_origin = (
|
||||
base_scheme,
|
||||
str(base_url.host),
|
||||
base_url.port or _default_port(base_scheme),
|
||||
)
|
||||
loc_origin = (
|
||||
parsed.scheme,
|
||||
parsed.hostname or "",
|
||||
parsed.port or _default_port(parsed.scheme),
|
||||
)
|
||||
if base_origin != loc_origin:
|
||||
raise ValueError(
|
||||
f"Refusing to follow cross-origin reconnect Location: {location!r} "
|
||||
f"(origin {loc_origin}) does not match base URL origin {base_origin}"
|
||||
)
|
||||
return location
|
||||
|
||||
|
||||
def _provided_vals(d: Mapping[str, Any]) -> dict[str, Any]:
|
||||
return {k: v for k, v in d.items() if v is not None}
|
||||
|
||||
|
||||
@@ -11,7 +11,10 @@ from typing import Any, cast
|
||||
import httpx
|
||||
import orjson
|
||||
|
||||
from langgraph_sdk._shared.utilities import _orjson_default
|
||||
from langgraph_sdk._shared.utilities import (
|
||||
_orjson_default,
|
||||
_validate_reconnect_location,
|
||||
)
|
||||
from langgraph_sdk.errors import _raise_for_status_typed
|
||||
from langgraph_sdk.schema import QueryParamTypes, StreamPart
|
||||
from langgraph_sdk.sse import SSEDecoder, iter_lines_raw
|
||||
@@ -164,6 +167,7 @@ class SyncHttpClient:
|
||||
loc = r.headers.get("location")
|
||||
if reconnect_limit <= 0 or not loc:
|
||||
return _decode_json(r)
|
||||
_validate_reconnect_location(self.client.base_url, loc)
|
||||
try:
|
||||
return _decode_json(r)
|
||||
except httpx.HTTPError:
|
||||
@@ -244,6 +248,9 @@ class SyncHttpClient:
|
||||
|
||||
reconnect_location = res.headers.get("location")
|
||||
if reconnect_location:
|
||||
_validate_reconnect_location(
|
||||
self.client.base_url, reconnect_location
|
||||
)
|
||||
reconnect_path = reconnect_location
|
||||
|
||||
decoder = SSEDecoder()
|
||||
|
||||
@@ -26,6 +26,7 @@ from langgraph_sdk.schema import (
|
||||
Durability,
|
||||
IfNotExists,
|
||||
Input,
|
||||
LangSmithTracing,
|
||||
MultitaskStrategy,
|
||||
OnCompletionBehavior,
|
||||
QueryParamTypes,
|
||||
@@ -92,6 +93,7 @@ class SyncRunsClient:
|
||||
multitask_strategy: MultitaskStrategy | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -122,6 +124,7 @@ class SyncRunsClient:
|
||||
multitask_strategy: MultitaskStrategy | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -151,6 +154,7 @@ class SyncRunsClient:
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
webhook: str | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -180,6 +184,7 @@ class SyncRunsClient:
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
webhook: str | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -211,6 +216,7 @@ class SyncRunsClient:
|
||||
multitask_strategy: MultitaskStrategy | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -250,6 +256,8 @@ class SyncRunsClient:
|
||||
Must be either 'reject' (raise error if missing), or 'create' (create new thread).
|
||||
after_seconds: The number of seconds to wait before starting the run.
|
||||
Use to schedule future runs.
|
||||
langsmith_tracing: LangSmith tracing configuration. Allows routing traces
|
||||
to a specific project or associating with a dataset example.
|
||||
headers: Optional custom headers to include with the request.
|
||||
on_run_created: Optional callback to call when a run is created.
|
||||
durability: The durability to use for the run. Values are "sync", "async", or "exit".
|
||||
@@ -321,6 +329,7 @@ class SyncRunsClient:
|
||||
"on_completion": on_completion,
|
||||
"after_seconds": after_seconds,
|
||||
"durability": durability,
|
||||
"langsmith_tracer": langsmith_tracing,
|
||||
}
|
||||
endpoint = (
|
||||
f"/threads/{thread_id}/runs/stream"
|
||||
@@ -366,6 +375,7 @@ class SyncRunsClient:
|
||||
on_completion: OnCompletionBehavior | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -394,6 +404,7 @@ class SyncRunsClient:
|
||||
multitask_strategy: MultitaskStrategy | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -422,6 +433,7 @@ class SyncRunsClient:
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
on_completion: OnCompletionBehavior | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
|
||||
@@ -457,6 +469,8 @@ class SyncRunsClient:
|
||||
Must be either 'reject' (raise error if missing), or 'create' (create new thread).
|
||||
after_seconds: The number of seconds to wait before starting the run.
|
||||
Use to schedule future runs.
|
||||
langsmith_tracing: LangSmith tracing configuration. Allows routing traces
|
||||
to a specific project or associating with a dataset example.
|
||||
headers: Optional custom headers to include with the request.
|
||||
on_run_created: Optional callback to call when a run is created.
|
||||
durability: The durability to use for the run. Values are "sync", "async", or "exit".
|
||||
@@ -567,6 +581,7 @@ class SyncRunsClient:
|
||||
"on_completion": on_completion,
|
||||
"after_seconds": after_seconds,
|
||||
"durability": durability,
|
||||
"langsmith_tracer": langsmith_tracing,
|
||||
}
|
||||
payload = {k: v for k, v in payload.items() if v is not None}
|
||||
|
||||
@@ -621,6 +636,7 @@ class SyncRunsClient:
|
||||
multitask_strategy: MultitaskStrategy | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
raise_error: bool = True,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
@@ -646,6 +662,7 @@ class SyncRunsClient:
|
||||
on_completion: OnCompletionBehavior | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
raise_error: bool = True,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
@@ -673,6 +690,7 @@ class SyncRunsClient:
|
||||
multitask_strategy: MultitaskStrategy | None = None,
|
||||
if_not_exists: IfNotExists | None = None,
|
||||
after_seconds: int | None = None,
|
||||
langsmith_tracing: LangSmithTracing | None = None,
|
||||
raise_error: bool = True,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
@@ -707,6 +725,8 @@ class SyncRunsClient:
|
||||
Must be either 'reject' (raise error if missing), or 'create' (create new thread).
|
||||
after_seconds: The number of seconds to wait before starting the run.
|
||||
Use to schedule future runs.
|
||||
langsmith_tracing: LangSmith tracing configuration. Allows routing traces
|
||||
to a specific project or associating with a dataset example.
|
||||
raise_error: Whether to raise an error if the run fails.
|
||||
headers: Optional custom headers to include with the request.
|
||||
on_run_created: Optional callback to call when a run is created.
|
||||
@@ -796,6 +816,7 @@ class SyncRunsClient:
|
||||
"after_seconds": after_seconds,
|
||||
"raise_error": raise_error,
|
||||
"durability": durability,
|
||||
"langsmith_tracer": langsmith_tracing,
|
||||
}
|
||||
|
||||
def on_response(res: httpx.Response):
|
||||
|
||||
@@ -107,6 +107,16 @@ Durability = Literal["sync", "async", "exit"]
|
||||
- `"async"`: Changes are persisted asynchronously while the next step executes.
|
||||
- `"exit"`: Changes are persisted only when the graph exits."""
|
||||
|
||||
|
||||
class LangSmithTracing(TypedDict, total=False):
|
||||
"""Configuration for LangSmith tracing."""
|
||||
|
||||
project_name: str
|
||||
"""The LangSmith project name to trace to."""
|
||||
example_id: str
|
||||
"""The LangSmith example/dataset ID to associate with the trace."""
|
||||
|
||||
|
||||
All = Literal["*"]
|
||||
"""Represents a wildcard or 'all' selector."""
|
||||
|
||||
|
||||
@@ -0,0 +1,146 @@
|
||||
"""Test that langsmith_tracing parameter is correctly mapped to langsmith_tracer in payloads."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Any
|
||||
from unittest.mock import AsyncMock, MagicMock
|
||||
|
||||
import pytest
|
||||
|
||||
from langgraph_sdk.schema import LangSmithTracing
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def tracing_config() -> LangSmithTracing:
|
||||
return LangSmithTracing(
|
||||
project_name="my-project",
|
||||
example_id="example-123",
|
||||
)
|
||||
|
||||
|
||||
class TestLangSmithTracingPayload:
|
||||
"""Verify langsmith_tracing param maps to langsmith_tracer in request payload."""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_async_create_includes_langsmith_tracer(self, tracing_config):
|
||||
"""Test that async create sends langsmith_tracer in payload."""
|
||||
from langgraph_sdk._async.runs import RunsClient
|
||||
|
||||
captured: dict[str, Any] = {}
|
||||
|
||||
async def mock_post(_path, *, json=None, **_kwargs):
|
||||
captured["json"] = json
|
||||
return {"run_id": "r1", "status": "pending"}
|
||||
|
||||
http = MagicMock()
|
||||
http.post = AsyncMock(side_effect=mock_post)
|
||||
client = RunsClient(http)
|
||||
|
||||
await client.create(
|
||||
thread_id="t1",
|
||||
assistant_id="a1",
|
||||
langsmith_tracing=tracing_config,
|
||||
)
|
||||
|
||||
assert "langsmith_tracer" in captured["json"]
|
||||
assert captured["json"]["langsmith_tracer"] == {
|
||||
"project_name": "my-project",
|
||||
"example_id": "example-123",
|
||||
}
|
||||
|
||||
def test_sync_create_includes_langsmith_tracer(self, tracing_config):
|
||||
"""Test that sync create sends langsmith_tracer in payload."""
|
||||
from langgraph_sdk._sync.runs import SyncRunsClient
|
||||
|
||||
captured: dict[str, Any] = {}
|
||||
|
||||
def mock_post(_path, *, json=None, **_kwargs):
|
||||
captured["json"] = json
|
||||
return {"run_id": "r1", "status": "pending"}
|
||||
|
||||
http = MagicMock()
|
||||
http.post = MagicMock(side_effect=mock_post)
|
||||
client = SyncRunsClient(http)
|
||||
|
||||
client.create(
|
||||
thread_id="t1",
|
||||
assistant_id="a1",
|
||||
langsmith_tracing=tracing_config,
|
||||
)
|
||||
|
||||
assert "langsmith_tracer" in captured["json"]
|
||||
assert captured["json"]["langsmith_tracer"] == {
|
||||
"project_name": "my-project",
|
||||
"example_id": "example-123",
|
||||
}
|
||||
|
||||
def test_sync_wait_includes_langsmith_tracer(self, tracing_config):
|
||||
"""Test that sync wait sends langsmith_tracer in payload."""
|
||||
from langgraph_sdk._sync.runs import SyncRunsClient
|
||||
|
||||
captured: dict[str, Any] = {}
|
||||
|
||||
def mock_request_reconnect(_path, _method, *, json=None, **_kwargs):
|
||||
captured["json"] = json
|
||||
return {"messages": []}
|
||||
|
||||
http = MagicMock()
|
||||
http.request_reconnect = MagicMock(side_effect=mock_request_reconnect)
|
||||
client = SyncRunsClient(http)
|
||||
|
||||
client.wait(
|
||||
thread_id="t1",
|
||||
assistant_id="a1",
|
||||
langsmith_tracing=tracing_config,
|
||||
)
|
||||
|
||||
assert "langsmith_tracer" in captured["json"]
|
||||
assert captured["json"]["langsmith_tracer"] == {
|
||||
"project_name": "my-project",
|
||||
"example_id": "example-123",
|
||||
}
|
||||
|
||||
def test_create_without_langsmith_tracing_excludes_key(self):
|
||||
"""Test that langsmith_tracer is not in payload when not provided."""
|
||||
from langgraph_sdk._sync.runs import SyncRunsClient
|
||||
|
||||
captured: dict[str, Any] = {}
|
||||
|
||||
def mock_post(_path, *, json=None, **_kwargs):
|
||||
captured["json"] = json
|
||||
return {"run_id": "r1", "status": "pending"}
|
||||
|
||||
http = MagicMock()
|
||||
http.post = MagicMock(side_effect=mock_post)
|
||||
client = SyncRunsClient(http)
|
||||
|
||||
client.create(
|
||||
thread_id="t1",
|
||||
assistant_id="a1",
|
||||
)
|
||||
|
||||
assert "langsmith_tracer" not in captured["json"]
|
||||
|
||||
def test_langsmith_tracing_project_name_only(self):
|
||||
"""Test that langsmith_tracing works with only project_name."""
|
||||
from langgraph_sdk._sync.runs import SyncRunsClient
|
||||
|
||||
captured: dict[str, Any] = {}
|
||||
|
||||
def mock_post(_path, *, json=None, **_kwargs):
|
||||
captured["json"] = json
|
||||
return {"run_id": "r1", "status": "pending"}
|
||||
|
||||
http = MagicMock()
|
||||
http.post = MagicMock(side_effect=mock_post)
|
||||
client = SyncRunsClient(http)
|
||||
|
||||
client.create(
|
||||
thread_id="t1",
|
||||
assistant_id="a1",
|
||||
langsmith_tracing={"project_name": "my-project"},
|
||||
)
|
||||
|
||||
assert captured["json"]["langsmith_tracer"] == {
|
||||
"project_name": "my-project",
|
||||
}
|
||||
Generated
+4
-4
@@ -262,7 +262,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.2.22"
|
||||
version = "1.2.28"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -274,14 +274,14 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/b1/a3/c4cd6827a1df46c821e7214b7f7b7a28b189e6c9b84ef15c6d629c5e3179/langchain_core-1.2.22.tar.gz", hash = "sha256:8d8f726d03d3652d403da915126626bb6250747e8ba406537d849e68b9f5d058", size = 842487, upload-time = "2026-03-24T18:48:44.9Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c7/a6/2ffacf0f1a3788f250e75d0b52a24896c413be11be3a6d42bcdf46fbea48/langchain_core-1.2.22-py3-none-any.whl", hash = "sha256:7e30d586b75918e828833b9ec1efc25465723566845dd652c277baf751e9c04b", size = 506829, upload-time = "2026-03-24T18:48:43.286Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph"
|
||||
version = "1.1.5"
|
||||
version = "1.1.6"
|
||||
source = { editable = "../langgraph" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
|
||||
Reference in New Issue
Block a user