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336ad1239b |
@@ -339,37 +339,6 @@ async def test_list_metadata_custom_keys(
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assert results[0].metadata["run_id"] == "run-abc"
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async def test_list_global_search(
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saver: BaseCheckpointSaver,
|
||||
) -> None:
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"""alist(None, filter=...) searches across all threads."""
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tid1, tid2 = str(uuid4()), str(uuid4())
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# Use a unique marker so we don't collide with other tests' data
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marker = str(uuid4())
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cfg1 = generate_config(tid1)
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cp1 = generate_checkpoint()
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||||
await saver.aput(cfg1, cp1, generate_metadata(source="input", marker=marker), {})
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||||
|
||||
cfg2 = generate_config(tid2)
|
||||
cp2 = generate_checkpoint()
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||||
await saver.aput(cfg2, cp2, generate_metadata(source="loop", marker=marker), {})
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||||
|
||||
# Search across all threads with filter
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||||
results = []
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||||
async for tup in saver.alist(None, filter={"source": "input", "marker": marker}):
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||||
results.append(tup)
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||||
assert len(results) == 1
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||||
assert results[0].config["configurable"]["thread_id"] == tid1
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||||
|
||||
# Search with marker only — should find both
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results = []
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||||
async for tup in saver.alist(None, filter={"marker": marker}):
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||||
results.append(tup)
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||||
assert len(results) == 2
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||||
|
||||
|
||||
ALL_LIST_TESTS = [
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||||
test_list_all,
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||||
test_list_by_thread,
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||||
@@ -380,7 +349,6 @@ ALL_LIST_TESTS = [
|
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test_list_metadata_filter_multiple_keys,
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test_list_metadata_filter_no_match,
|
||||
test_list_metadata_custom_keys,
|
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test_list_global_search,
|
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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
+7
-7
@@ -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" },
|
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]
|
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||||
]
|
||||
|
||||
[[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" },
|
||||
@@ -623,7 +623,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
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|
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source = { registry = "https://pypi.org/simple" }
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dependencies = [
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
@@ -634,9 +634,9 @@ dependencies = [
|
||||
{ name = "pygments" },
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
||||
]
|
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{ url = "https://files.pythonhosted.org/packages/d4/24/a372aaf5c9b7208e7112038812994107bc65a84cd00e0354a88c2c77a617/pytest-9.0.3-py3-none-any.whl", hash = "sha256:2c5efc453d45394fdd706ade797c0a81091eccd1d6e4bccfcd476e2b8e0ab5d9", size = 375249, upload-time = "2026-04-07T17:16:16.13Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -6,6 +6,11 @@ Implementation of LangGraph CheckpointSaver that uses Postgres.
|
||||
|
||||
By default `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) without any extras. However, you can choose a specific installation that best suits your needs [here](https://www.psycopg.org/psycopg3/docs/basic/install.html) (for example, `psycopg[binary]`).
|
||||
|
||||
## Security
|
||||
|
||||
> [!IMPORTANT]
|
||||
> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
|
||||
|
||||
## Usage
|
||||
|
||||
> [!IMPORTANT]
|
||||
|
||||
Generated
+6
-6
@@ -240,7 +240,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.2.22"
|
||||
version = "1.2.28"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -252,9 +252,9 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
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|
||||
[[package]]
|
||||
@@ -950,7 +950,7 @@ wheels = [
|
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|
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[[package]]
|
||||
name = "pytest"
|
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version = "9.0.2"
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source = { registry = "https://pypi.org/simple" }
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dependencies = [
|
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{ name = "colorama", marker = "sys_platform == 'win32'" },
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@@ -961,9 +961,9 @@ dependencies = [
|
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{ name = "pygments" },
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{ name = "tomli", marker = "python_full_version < '3.11'" },
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||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -2,6 +2,11 @@
|
||||
|
||||
Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`)
|
||||
|
||||
## Security
|
||||
|
||||
> [!IMPORTANT]
|
||||
> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
|
||||
|
||||
## Usage
|
||||
|
||||
```python
|
||||
|
||||
Generated
+6
-6
@@ -249,7 +249,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
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|
||||
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|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -261,9 +261,9 @@ dependencies = [
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{ name = "typing-extensions" },
|
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{ name = "uuid-utils" },
|
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]
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]
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|
||||
[[package]]
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||||
@@ -862,7 +862,7 @@ wheels = [
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|
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[[package]]
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name = "pytest"
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{ name = "colorama", marker = "sys_platform == 'win32'" },
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@@ -873,9 +873,9 @@ dependencies = [
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{ name = "tomli", marker = "python_full_version < '3.11'" },
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|
||||
{ url = "https://files.pythonhosted.org/packages/d4/24/a372aaf5c9b7208e7112038812994107bc65a84cd00e0354a88c2c77a617/pytest-9.0.3-py3-none-any.whl", hash = "sha256:2c5efc453d45394fdd706ade797c0a81091eccd1d6e4bccfcd476e2b8e0ab5d9", size = 375249, upload-time = "2026-04-07T17:16:16.13Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -26,6 +26,9 @@ You must pass these when invoking the graph as part of the configurable part of
|
||||
|
||||
`langgraph_checkpoint` also defines protocol for serialization/deserialization (serde) and provides an default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.
|
||||
|
||||
> [!IMPORTANT]
|
||||
> **Checkpoint deserialization security:** By default the serializer allows any Python type found in checkpoint data. New applications should set the environment variable `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list to `JsonPlusSerializer` to restrict deserialization to known-safe types.
|
||||
|
||||
### Pending writes
|
||||
|
||||
When a graph node fails mid-execution at a given superstep, LangGraph stores pending checkpoint writes from any other nodes that completed successfully at that superstep, so that whenever we resume graph execution from that superstep we don't re-run the successful nodes.
|
||||
|
||||
@@ -1,3 +1,10 @@
|
||||
"""Msgpack deserialization safety controls.
|
||||
|
||||
Set ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict checkpoint deserialization
|
||||
to the types listed in ``SAFE_MSGPACK_TYPES``. Without this, any Python
|
||||
callable stored in checkpoint data will be imported and executed on load.
|
||||
"""
|
||||
|
||||
import os
|
||||
from collections.abc import Iterable
|
||||
from typing import cast
|
||||
|
||||
@@ -56,6 +56,10 @@ class JsonPlusSerializer(SerializerProtocol):
|
||||
class and called within the Pregel loop. It should not be used on untrusted
|
||||
python objects. If an attacker can write directly to your checkpoint database,
|
||||
they may be able to trigger code execution when data is deserialized.
|
||||
|
||||
Set the environment variable ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict
|
||||
deserialization to a built-in allowlist of safe types. You can also pass
|
||||
an explicit ``allowed_msgpack_modules`` to the constructor.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
@@ -70,8 +74,11 @@ class JsonPlusSerializer(SerializerProtocol):
|
||||
) -> None:
|
||||
if allowed_msgpack_modules is _lg_msgpack._SENTINEL:
|
||||
if _lg_msgpack.STRICT_MSGPACK_ENABLED:
|
||||
# Strict: only SAFE_MSGPACK_TYPES are allowed.
|
||||
allowed_msgpack_modules = None
|
||||
else:
|
||||
# Permissive (default): all types allowed with a warning.
|
||||
# Set LANGGRAPH_STRICT_MSGPACK=true to lock this down.
|
||||
allowed_msgpack_modules = True
|
||||
self.pickle_fallback = pickle_fallback
|
||||
self._allowed_json_modules: set[tuple[str, ...]] | Literal[True] | None = (
|
||||
@@ -530,7 +537,8 @@ def _create_msgpack_ext_hook(
|
||||
logger.warning(
|
||||
"Deserializing unregistered type %s.%s from checkpoint. "
|
||||
"This will be blocked in a future version. "
|
||||
"Add to allowed_msgpack_modules to silence: [(%r, %r)]",
|
||||
"Set LANGGRAPH_STRICT_MSGPACK=true to block now, or add "
|
||||
"to allowed_msgpack_modules to allow explicitly: [(%r, %r)]",
|
||||
module,
|
||||
name,
|
||||
module,
|
||||
|
||||
Generated
+6
-6
@@ -267,7 +267,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.2.23"
|
||||
version = "1.2.28"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -279,9 +279,9 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/1d/47/a5f21b651e9cbd7a26c3e5809336d10a0be94ef7bdf6bea47f2ad9fff1a8/langchain_core-1.2.23.tar.gz", hash = "sha256:fdec64f90cfea25317e88d9803c44684af1f4e30dec4e58320dd7393bb0f0785", size = 841684, upload-time = "2026-03-27T23:28:14.6Z" }
|
||||
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/9b/5a/6ff2d76618e4cac531ea51d4ef44c6add36575a84c3f0f8877aee68c951a/langchain_core-1.2.23-py3-none-any.whl", hash = "sha256:70866dfc5275b7840ce272ff70f0ff216c8666ab25dc1b41964a4ef58c02a3ff", size = 506709, upload-time = "2026-03-27T23:28:13.372Z" },
|
||||
{ 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]]
|
||||
@@ -1117,7 +1117,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "pytest"
|
||||
version = "9.0.2"
|
||||
version = "9.0.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
@@ -1128,9 +1128,9 @@ dependencies = [
|
||||
{ name = "pygments" },
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/d1/db/7ef3487e0fb0049ddb5ce41d3a49c235bf9ad299b6a25d5780a89f19230f/pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11", size = 1568901, upload-time = "2025-12-06T21:30:51.014Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/7d/0d/549bd94f1a0a402dc8cf64563a117c0f3765662e2e668477624baeec44d5/pytest-9.0.3.tar.gz", hash = "sha256:b86ada508af81d19edeb213c681b1d48246c1a91d304c6c81a427674c17eb91c", size = 1572165, upload-time = "2026-04-07T17:16:18.027Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/3b/ab/b3226f0bd7cdcf710fbede2b3548584366da3b19b5021e74f5bde2a8fa3f/pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b", size = 374801, upload-time = "2025-12-06T21:30:49.154Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/d4/24/a372aaf5c9b7208e7112038812994107bc65a84cd00e0354a88c2c77a617/pytest-9.0.3-py3-none-any.whl", hash = "sha256:2c5efc453d45394fdd706ade797c0a81091eccd1d6e4bccfcd476e2b8e0ab5d9", size = 375249, upload-time = "2026-04-07T17:16:16.13Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -1086,11 +1086,6 @@
|
||||
resolved "https://registry.yarnpkg.com/@types/stack-utils/-/stack-utils-2.0.3.tgz#6209321eb2c1712a7e7466422b8cb1fc0d9dd5d8"
|
||||
integrity sha512-9aEbYZ3TbYMznPdcdr3SmIrLXwC/AKZXQeCf9Pgao5CKb8CyHuEX5jzWPTkvregvhRJHcpRO6BFoGW9ycaOkYw==
|
||||
|
||||
"@types/uuid@^10.0.0":
|
||||
version "10.0.0"
|
||||
resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
|
||||
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|
||||
|
||||
"@types/yargs-parser@*":
|
||||
version "21.0.3"
|
||||
resolved "https://registry.yarnpkg.com/@types/yargs-parser/-/yargs-parser-21.0.3.tgz#815e30b786d2e8f0dcd85fd5bcf5e1a04d008f15"
|
||||
@@ -1782,13 +1777,6 @@ concat-map@0.0.1:
|
||||
resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
|
||||
integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==
|
||||
|
||||
console-table-printer@^2.12.1:
|
||||
version "2.15.0"
|
||||
resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.15.0.tgz#5c808204640b8f024d545bde8aabe5d344dfadc1"
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||||
integrity sha512-SrhBq4hYVjLCkBVOWaTzceJalvn5K1Zq5aQA6wXC/cYjI3frKWNPEMK3sZsJfNNQApvCQmgBcc13ZKmFj8qExw==
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||||
dependencies:
|
||||
simple-wcswidth "^1.1.2"
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||||
|
||||
convert-source-map@^2.0.0:
|
||||
version "2.0.0"
|
||||
resolved "https://registry.yarnpkg.com/convert-source-map/-/convert-source-map-2.0.0.tgz#4b560f649fc4e918dd0ab75cf4961e8bc882d82a"
|
||||
@@ -3688,16 +3676,12 @@ keyv@^4.5.4:
|
||||
json-buffer "3.0.1"
|
||||
|
||||
"langsmith@>=0.5.0 <1.0.0":
|
||||
version "0.5.4"
|
||||
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
|
||||
integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
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||||
version "0.5.18"
|
||||
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.18.tgz#c691ad23614f0b46eaf07d982e0ac988e1f43880"
|
||||
integrity sha512-3zuZUWffTHQ+73EAwnodADtf534VNEZUpXr9jC12qyG8/IQuJET7PRsCpTb9wX2lmBspakwLUpqpj3tNm/0bVA==
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||||
dependencies:
|
||||
"@types/uuid" "^10.0.0"
|
||||
chalk "^4.1.2"
|
||||
console-table-printer "^2.12.1"
|
||||
p-queue "^6.6.2"
|
||||
semver "^7.6.3"
|
||||
uuid "^10.0.0"
|
||||
p-queue "6.6.2"
|
||||
uuid "10.0.0"
|
||||
|
||||
leven@^3.1.0:
|
||||
version "3.1.0"
|
||||
@@ -4007,7 +3991,7 @@ p-locate@^5.0.0:
|
||||
dependencies:
|
||||
p-limit "^3.0.2"
|
||||
|
||||
p-queue@^6.6.2:
|
||||
p-queue@6.6.2, p-queue@^6.6.2:
|
||||
version "6.6.2"
|
||||
resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
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||||
integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
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||||
@@ -4303,7 +4287,7 @@ semver@^6.3.1:
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
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||||
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||||
|
||||
semver@^7.5.3, semver@^7.5.4, semver@^7.6.3, semver@^7.7.2, semver@^7.7.3:
|
||||
semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3:
|
||||
version "7.7.4"
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
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||||
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||||
@@ -4411,11 +4395,6 @@ signal-exit@^4.0.1:
|
||||
resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.1.0.tgz#952188c1cbd546070e2dd20d0f41c0ae0530cb04"
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||||
integrity sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==
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||||
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||||
simple-wcswidth@^1.1.2:
|
||||
version "1.1.2"
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||||
resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
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||||
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||||
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||||
slash@^3.0.0:
|
||||
version "3.0.0"
|
||||
resolved "https://registry.yarnpkg.com/slash/-/slash-3.0.0.tgz#6539be870c165adbd5240220dbe361f1bc4d4634"
|
||||
@@ -4870,7 +4849,7 @@ uri-js@^4.2.2:
|
||||
dependencies:
|
||||
punycode "^2.1.0"
|
||||
|
||||
uuid@^10.0.0:
|
||||
uuid@10.0.0, uuid@^10.0.0:
|
||||
version "10.0.0"
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
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||||
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||||
|
||||
@@ -217,11 +217,6 @@
|
||||
resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
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||||
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||||
"@types/uuid@^10.0.0":
|
||||
version "10.0.0"
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||||
resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
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||||
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||||
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||||
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|
||||
version "8.58.0"
|
||||
resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
|
||||
@@ -343,13 +338,6 @@ ajv@^6.14.0:
|
||||
json-schema-traverse "^0.4.1"
|
||||
uri-js "^4.2.2"
|
||||
|
||||
ansi-styles@^4.1.0:
|
||||
version "4.3.0"
|
||||
resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-4.3.0.tgz#edd803628ae71c04c85ae7a0906edad34b648937"
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||||
dependencies:
|
||||
color-convert "^2.0.1"
|
||||
|
||||
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|
||||
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|
||||
resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-5.2.0.tgz#07449690ad45777d1924ac2abb2fc8895dba836b"
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||||
@@ -508,38 +496,11 @@ camelcase@6:
|
||||
resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-6.3.0.tgz#5685b95eb209ac9c0c177467778c9c84df58ba9a"
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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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||||
color-convert@^2.0.1:
|
||||
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||||
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||||
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||||
|
||||
color-name@~1.1.4:
|
||||
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|
||||
resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
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||||
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||||
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||||
concat-map@0.0.1:
|
||||
version "0.0.1"
|
||||
resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
|
||||
integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==
|
||||
|
||||
console-table-printer@^2.12.1:
|
||||
version "2.14.6"
|
||||
resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.14.6.tgz#edfe0bf311fa2701922ed509443145ab51e06436"
|
||||
integrity sha512-MCBl5HNVaFuuHW6FGbL/4fB7N/ormCy+tQ+sxTrF6QtSbSNETvPuOVbkJBhzDgYhvjWGrTma4eYJa37ZuoQsPw==
|
||||
dependencies:
|
||||
simple-wcswidth "^1.0.1"
|
||||
|
||||
cross-spawn@^7.0.6:
|
||||
version "7.0.6"
|
||||
resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.6.tgz#8a58fe78f00dcd70c370451759dfbfaf03e8ee9f"
|
||||
@@ -1059,11 +1020,6 @@ has-bigints@^1.0.2:
|
||||
resolved "https://registry.yarnpkg.com/has-bigints/-/has-bigints-1.1.0.tgz#28607e965ac967e03cd2a2c70a2636a1edad49fe"
|
||||
integrity sha512-R3pbpkcIqv2Pm3dUwgjclDRVmWpTJW2DcMzcIhEXEx1oh/CEMObMm3KLmRJOdvhM7o4uQBnwr8pzRK2sJWIqfg==
|
||||
|
||||
has-flag@^4.0.0:
|
||||
version "4.0.0"
|
||||
resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-4.0.0.tgz#944771fd9c81c81265c4d6941860da06bb59479b"
|
||||
integrity sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==
|
||||
|
||||
has-property-descriptors@^1.0.0, has-property-descriptors@^1.0.2:
|
||||
version "1.0.2"
|
||||
resolved "https://registry.yarnpkg.com/has-property-descriptors/-/has-property-descriptors-1.0.2.tgz#963ed7d071dc7bf5f084c5bfbe0d1b6222586854"
|
||||
@@ -1372,16 +1328,12 @@ keyv@^4.5.4:
|
||||
json-buffer "3.0.1"
|
||||
|
||||
"langsmith@>=0.5.0 <1.0.0":
|
||||
version "0.5.4"
|
||||
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
|
||||
integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
|
||||
version "0.5.18"
|
||||
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.18.tgz#c691ad23614f0b46eaf07d982e0ac988e1f43880"
|
||||
integrity sha512-3zuZUWffTHQ+73EAwnodADtf534VNEZUpXr9jC12qyG8/IQuJET7PRsCpTb9wX2lmBspakwLUpqpj3tNm/0bVA==
|
||||
dependencies:
|
||||
"@types/uuid" "^10.0.0"
|
||||
chalk "^4.1.2"
|
||||
console-table-printer "^2.12.1"
|
||||
p-queue "^6.6.2"
|
||||
semver "^7.6.3"
|
||||
uuid "^10.0.0"
|
||||
p-queue "6.6.2"
|
||||
uuid "10.0.0"
|
||||
|
||||
levn@^0.4.1:
|
||||
version "0.4.1"
|
||||
@@ -1528,7 +1480,7 @@ p-locate@^5.0.0:
|
||||
dependencies:
|
||||
p-limit "^3.0.2"
|
||||
|
||||
p-queue@^6.6.2:
|
||||
p-queue@6.6.2, p-queue@^6.6.2:
|
||||
version "6.6.2"
|
||||
resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
|
||||
integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
|
||||
@@ -1690,11 +1642,6 @@ semver@^6.3.1:
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
|
||||
integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
|
||||
|
||||
semver@^7.6.3:
|
||||
version "7.7.2"
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.2.tgz#67d99fdcd35cec21e6f8b87a7fd515a33f982b58"
|
||||
integrity sha512-RF0Fw+rO5AMf9MAyaRXI4AV0Ulj5lMHqVxxdSgiVbixSCXoEmmX/jk0CuJw4+3SqroYO9VoUh+HcuJivvtJemA==
|
||||
|
||||
semver@^7.7.3:
|
||||
version "7.7.4"
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
|
||||
@@ -1783,11 +1730,6 @@ side-channel@^1.1.0:
|
||||
side-channel-map "^1.0.1"
|
||||
side-channel-weakmap "^1.0.2"
|
||||
|
||||
simple-wcswidth@^1.0.1:
|
||||
version "1.1.2"
|
||||
resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
|
||||
integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
|
||||
|
||||
stop-iteration-iterator@^1.1.0:
|
||||
version "1.1.0"
|
||||
resolved "https://registry.yarnpkg.com/stop-iteration-iterator/-/stop-iteration-iterator-1.1.0.tgz#f481ff70a548f6124d0312c3aa14cbfa7aa542ad"
|
||||
@@ -1838,13 +1780,6 @@ strip-json-comments@^3.1.1:
|
||||
resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-3.1.1.tgz#31f1281b3832630434831c310c01cccda8cbe006"
|
||||
integrity sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig==
|
||||
|
||||
supports-color@^7.1.0:
|
||||
version "7.2.0"
|
||||
resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-7.2.0.tgz#1b7dcdcb32b8138801b3e478ba6a51caa89648da"
|
||||
integrity sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==
|
||||
dependencies:
|
||||
has-flag "^4.0.0"
|
||||
|
||||
supports-preserve-symlinks-flag@^1.0.0:
|
||||
version "1.0.0"
|
||||
resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
|
||||
@@ -1966,7 +1901,7 @@ uri-js@^4.2.2:
|
||||
dependencies:
|
||||
punycode "^2.1.0"
|
||||
|
||||
uuid@^10.0.0:
|
||||
uuid@10.0.0, uuid@^10.0.0:
|
||||
version "10.0.0"
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
|
||||
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
|
||||
|
||||
@@ -1 +1 @@
|
||||
__version__ = "0.4.20"
|
||||
__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
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
@@ -182,7 +182,11 @@ 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,
|
||||
@@ -220,45 +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 == "uv_lock":
|
||||
raise click.UsageError(
|
||||
"pip_installer 'uv_lock' has been replaced. Use "
|
||||
'`source: {"kind": "uv", "root": "..", '
|
||||
'"package": "my-agent"}`.'
|
||||
)
|
||||
if pip_installer not in ["auto", "pip", "uv"]:
|
||||
raise click.UsageError(
|
||||
f"Invalid pip_installer: '{pip_installer}'. "
|
||||
"Must be 'auto', 'pip', or 'uv'."
|
||||
"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.")
|
||||
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. Supported values: '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(
|
||||
@@ -269,12 +279,16 @@ def validate_config(config: Config) -> Config:
|
||||
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
|
||||
@@ -287,7 +301,8 @@ 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 source_kind == "uv":
|
||||
@@ -369,6 +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:
|
||||
|
||||
@@ -404,7 +404,7 @@ def test_validate_config_pip_installer():
|
||||
}
|
||||
)
|
||||
assert "Invalid pip_installer: 'conda'" in str(exc_info.value)
|
||||
assert "Must be 'auto', 'pip', or 'uv'" in str(exc_info.value)
|
||||
assert "uv-based source management" in str(exc_info.value)
|
||||
|
||||
with pytest.raises(click.UsageError) as exc_info:
|
||||
validate_config(
|
||||
@@ -417,7 +417,7 @@ def test_validate_config_pip_installer():
|
||||
)
|
||||
assert "Invalid pip_installer: 'invalid'" in str(exc_info.value)
|
||||
|
||||
with pytest.raises(click.UsageError, match="has been replaced"):
|
||||
with pytest.raises(click.UsageError, match="Invalid pip_installer: 'uv_lock'"):
|
||||
validate_config(
|
||||
{
|
||||
"python_version": "3.11",
|
||||
|
||||
Generated
+3
-3
@@ -215,7 +215,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.2.27"
|
||||
version = "1.2.28"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -227,9 +227,9 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/13/5c/56d19a252bbb26247b7a7cd20821d48804d7ca03212fec709cd8db7c2516/langchain_core-1.2.27.tar.gz", hash = "sha256:c18372e4c4c1454d49bf23a2e484431e71bd39b64173a0f621f0fc283d7183a4", size = 844935, upload-time = "2026-04-07T14:56:32.364Z" }
|
||||
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Generated
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||||
{ url = "https://files.pythonhosted.org/packages/3c/1c/74083238e4fab2672b63575b9008f1ea418b02a714bcfcf017f4f6a309b6/uv-0.11.6-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e96a66abe53fced0e3389008b8d2eff8278cfa8bb545d75631ae8ceb9c929aba", size = 24915507, upload-time = "2026-04-09T12:08:50.892Z" },
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||||
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||||
{ url = "https://files.pythonhosted.org/packages/05/2d/4b642669b56648194f026de79bc992cbfc3ac2318b0a8d435f3c284934e8/uv-0.11.6-py3-none-musllinux_1_1_i686.whl", hash = "sha256:9e211c83cc890c569b86a4183fcf5f8b6f0c7adc33a839b699a98d30f1310d3a", size = 24159150, upload-time = "2026-04-09T12:09:13.17Z" },
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||||
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||||
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||||
{ url = "https://files.pythonhosted.org/packages/a5/33/1983ce113c538a856f2d620d16e39691962ecceef091a84086c5785e32e5/uv-0.11.6-py3-none-win_amd64.whl", hash = "sha256:a28bea69c1186303d1200f155c7a28c449f8a4431e458fcf89360cc7ef546e40", size = 25371258, upload-time = "2026-04-09T12:09:40.52Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/35/01/be0873f44b9c9bc250fcbf263367fcfc1f59feab996355bcb6b52fff080d/uv-0.11.6-py3-none-win_arm64.whl", hash = "sha256:a78f6d64b9950e24061bc7ec7f15ff8089ad7f5a976e7b65fcadce58fe02f613", size = 23869585, upload-time = "2026-04-09T12:09:29.425Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections import ChainMap
|
||||
from collections.abc import Mapping, Sequence
|
||||
from collections.abc import Sequence
|
||||
from os import getenv
|
||||
from typing import Any, cast
|
||||
|
||||
@@ -217,14 +217,16 @@ def get_callback_manager_for_config(
|
||||
callbacks.add_tags(all_tags)
|
||||
if metadata := config.get("metadata"):
|
||||
callbacks.add_metadata(metadata)
|
||||
return callbacks
|
||||
manager = callbacks
|
||||
else:
|
||||
# otherwise create a new manager
|
||||
return CallbackManager.configure(
|
||||
manager = CallbackManager.configure(
|
||||
inheritable_callbacks=config.get("callbacks"),
|
||||
inheritable_tags=all_tags,
|
||||
inheritable_metadata=config.get("metadata"),
|
||||
langsmith_inheritable_metadata=_get_tracing_metadata_defaults(config),
|
||||
)
|
||||
return manager
|
||||
|
||||
|
||||
def get_async_callback_manager_for_config(
|
||||
@@ -255,14 +257,16 @@ def get_async_callback_manager_for_config(
|
||||
callbacks.add_tags(all_tags)
|
||||
if metadata := config.get("metadata"):
|
||||
callbacks.add_metadata(metadata)
|
||||
return callbacks
|
||||
manager = callbacks
|
||||
else:
|
||||
# otherwise create a new manager
|
||||
return AsyncCallbackManager.configure(
|
||||
manager = AsyncCallbackManager.configure(
|
||||
inheritable_callbacks=config.get("callbacks"),
|
||||
inheritable_tags=all_tags,
|
||||
inheritable_metadata=config.get("metadata"),
|
||||
langsmith_inheritable_metadata=_get_tracing_metadata_defaults(config),
|
||||
)
|
||||
return manager
|
||||
|
||||
|
||||
def _is_not_empty(value: Any) -> bool:
|
||||
@@ -308,22 +312,54 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
|
||||
for k, v in config.items():
|
||||
if _is_not_empty(v) and k not in CONFIG_KEYS:
|
||||
empty[CONF][k] = v
|
||||
_empty_metadata = empty["metadata"]
|
||||
for key, value in empty[CONF].items():
|
||||
if _exclude_as_metadata(key, value, _empty_metadata):
|
||||
continue
|
||||
_empty_metadata[key] = value
|
||||
|
||||
configurable = empty.get("configurable")
|
||||
metadata = empty.get("metadata")
|
||||
if configurable and metadata is not None:
|
||||
for key in _PROPAGATE_TO_METADATA:
|
||||
if key in metadata:
|
||||
continue
|
||||
value = configurable.get(key)
|
||||
if value:
|
||||
metadata[key] = value
|
||||
return empty
|
||||
|
||||
|
||||
_OMIT = ("key", "token", "secret", "password", "auth")
|
||||
|
||||
|
||||
def _exclude_as_metadata(key: str, value: Any, metadata: Mapping[str, Any]) -> bool:
|
||||
def _exclude_as_metadata(key: str, value: Any) -> bool:
|
||||
key_lower = key.casefold()
|
||||
return (
|
||||
key.startswith("__")
|
||||
or not isinstance(value, (str, int, float, bool))
|
||||
or key in metadata
|
||||
or any(substr in key_lower for substr in _OMIT)
|
||||
)
|
||||
|
||||
|
||||
def _get_tracing_metadata_defaults(
|
||||
config: RunnableConfig,
|
||||
) -> dict[str, Any] | None:
|
||||
"""Get tracer-only metadata defaults from configurable values."""
|
||||
configurable = config.get("configurable")
|
||||
if not configurable:
|
||||
return None
|
||||
metadata: dict[str, Any] = {}
|
||||
for key, value in configurable.items():
|
||||
if _exclude_as_metadata(key, value):
|
||||
continue
|
||||
metadata[key] = value
|
||||
return metadata or None
|
||||
|
||||
|
||||
_PROPAGATE_TO_METADATA = frozenset(
|
||||
(
|
||||
"thread_id",
|
||||
"checkpoint_id",
|
||||
"checkpoint_ns",
|
||||
"task_id",
|
||||
"run_id",
|
||||
"assistant_id",
|
||||
"graph_id",
|
||||
)
|
||||
)
|
||||
|
||||
@@ -66,6 +66,9 @@ CONFIG_KEY_RUNTIME = sys.intern("__pregel_runtime")
|
||||
# holds a `Runtime` instance with context, store, stream writer, etc.
|
||||
CONFIG_KEY_RESUME_MAP = sys.intern("__pregel_resume_map")
|
||||
# holds a mapping of task ns -> resume value for resuming tasks
|
||||
CONFIG_KEY_STREAM_MESSAGES_V2 = sys.intern("__pregel_stream_messages_v2")
|
||||
# when True, attach StreamMessagesHandlerV2 so content-block (v2) events
|
||||
# flow through stream_mode="messages"; set by GraphStreamer only.
|
||||
|
||||
# --- Other constants ---
|
||||
PUSH = sys.intern("__pregel_push")
|
||||
@@ -107,6 +110,7 @@ RESERVED = {
|
||||
CONFIG_KEY_CHECKPOINT_ID,
|
||||
CONFIG_KEY_CHECKPOINT_NS,
|
||||
CONFIG_KEY_RESUME_MAP,
|
||||
CONFIG_KEY_STREAM_MESSAGES_V2,
|
||||
# other constants
|
||||
PUSH,
|
||||
PULL,
|
||||
|
||||
@@ -0,0 +1,412 @@
|
||||
"""Graph lifecycle callback interfaces and event payloads.
|
||||
|
||||
This module defines the public callback surface for observing LangGraph-specific
|
||||
lifecycle transitions such as interrupt and resume.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import Sequence
|
||||
from dataclasses import dataclass
|
||||
from typing import Any, Literal, TypeAlias, TypeVar
|
||||
from uuid import UUID
|
||||
|
||||
from langchain_core.callbacks import BaseCallbackHandler, BaseCallbackManager
|
||||
from langchain_core.callbacks.manager import ahandle_event, handle_event
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
|
||||
from langgraph.types import Interrupt
|
||||
|
||||
__all__ = (
|
||||
"GraphCallbackHandler",
|
||||
"GraphInterruptEvent",
|
||||
"GraphLifecycleEvent",
|
||||
"GraphLifecycleStatus",
|
||||
"GraphResumeEvent",
|
||||
"get_async_graph_callback_manager_for_config",
|
||||
"get_sync_graph_callback_manager_for_config",
|
||||
)
|
||||
|
||||
|
||||
GraphLifecycleStatus: TypeAlias = Literal[
|
||||
"input",
|
||||
"pending",
|
||||
"done",
|
||||
"interrupt_before",
|
||||
"interrupt_after",
|
||||
"out_of_steps",
|
||||
]
|
||||
"""Allowed lifecycle statuses reported in graph lifecycle callback events."""
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class GraphInterruptEvent:
|
||||
"""Graph lifecycle event emitted when execution pauses for interrupts."""
|
||||
|
||||
run_id: UUID | None
|
||||
"""Run id for the current graph execution, if available."""
|
||||
|
||||
status: GraphLifecycleStatus
|
||||
"""Loop status when the interrupt was captured."""
|
||||
|
||||
checkpoint_id: str
|
||||
"""Checkpoint id associated with the interrupted execution."""
|
||||
|
||||
checkpoint_ns: tuple[str, ...]
|
||||
"""Checkpoint namespace path for the current graph or subgraph."""
|
||||
|
||||
interrupts: tuple[Interrupt, ...]
|
||||
"""Interrupt payloads that caused the graph to pause."""
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class GraphResumeEvent:
|
||||
"""Graph lifecycle event emitted when execution resumes from a checkpoint."""
|
||||
|
||||
run_id: UUID | None
|
||||
"""Run id for the current graph execution, if available."""
|
||||
|
||||
status: GraphLifecycleStatus
|
||||
"""Loop status when the resume was captured."""
|
||||
|
||||
checkpoint_id: str
|
||||
"""Checkpoint id the graph resumed from."""
|
||||
|
||||
checkpoint_ns: tuple[str, ...]
|
||||
"""Checkpoint namespace path for the current graph or subgraph."""
|
||||
|
||||
|
||||
GraphLifecycleEvent: TypeAlias = GraphInterruptEvent | GraphResumeEvent
|
||||
"""Union of all public graph lifecycle callback event payloads.
|
||||
|
||||
Use this alias when a callback or helper can receive either interrupt or resume
|
||||
lifecycle events.
|
||||
"""
|
||||
|
||||
|
||||
class GraphCallbackHandler(BaseCallbackHandler):
|
||||
"""Base class for graph-level lifecycle callbacks.
|
||||
|
||||
Subclass this handler to observe graph lifecycle transitions that are
|
||||
specific to LangGraph execution, rather than generic LangChain runnable
|
||||
callbacks.
|
||||
|
||||
Instances can be passed through `config["callbacks"]` when invoking a
|
||||
graph. Only handlers that inherit from `GraphCallbackHandler` receive these
|
||||
lifecycle events.
|
||||
"""
|
||||
|
||||
def on_interrupt(self, event: GraphInterruptEvent) -> Any:
|
||||
"""Run when graph execution pauses due to one or more interrupts.
|
||||
|
||||
Args:
|
||||
event: Interrupt lifecycle event payload.
|
||||
"""
|
||||
|
||||
def on_resume(self, event: GraphResumeEvent) -> Any:
|
||||
"""Run when graph execution resumes from a persisted checkpoint.
|
||||
|
||||
Args:
|
||||
event: Resume lifecycle event payload.
|
||||
"""
|
||||
|
||||
|
||||
_MISSING = object()
|
||||
|
||||
|
||||
def _filter_graph_handlers(
|
||||
handlers: list[BaseCallbackHandler],
|
||||
) -> list[GraphCallbackHandler]:
|
||||
return [h for h in handlers if isinstance(h, GraphCallbackHandler)]
|
||||
|
||||
|
||||
def _init_base_manager(
|
||||
manager: BaseCallbackManager,
|
||||
handlers: Sequence[GraphCallbackHandler] | None,
|
||||
inheritable_handlers: Sequence[GraphCallbackHandler] | None,
|
||||
parent_run_id: UUID | None,
|
||||
*,
|
||||
tags: list[str] | None,
|
||||
inheritable_tags: list[str] | None,
|
||||
metadata: dict[str, Any] | None,
|
||||
inheritable_metadata: dict[str, Any] | None,
|
||||
run_id: UUID | None,
|
||||
) -> None:
|
||||
base_handlers: list[BaseCallbackHandler] = []
|
||||
base_inheritable_handlers: list[BaseCallbackHandler] = []
|
||||
if handlers is not None:
|
||||
base_handlers.extend(handlers)
|
||||
if inheritable_handlers is not None:
|
||||
base_inheritable_handlers.extend(inheritable_handlers)
|
||||
BaseCallbackManager.__init__(
|
||||
manager,
|
||||
handlers=base_handlers,
|
||||
inheritable_handlers=base_inheritable_handlers,
|
||||
parent_run_id=parent_run_id,
|
||||
tags=tags,
|
||||
inheritable_tags=inheritable_tags,
|
||||
metadata=metadata,
|
||||
inheritable_metadata=inheritable_metadata,
|
||||
)
|
||||
manager.run_id = run_id # type: ignore[attr-defined]
|
||||
|
||||
|
||||
def _configure_graph_callbacks(
|
||||
cls: type[_GraphManagerT],
|
||||
callbacks: object | None,
|
||||
*,
|
||||
run_id: UUID | None,
|
||||
) -> _GraphManagerT:
|
||||
if callbacks is None:
|
||||
return cls(run_id=run_id)
|
||||
if isinstance(callbacks, cls):
|
||||
return callbacks.copy(run_id=run_id)
|
||||
if isinstance(callbacks, (_GraphCallbackManager, _AsyncGraphCallbackManager)):
|
||||
# Cross-type: extract handlers into the requested cls.
|
||||
return cls(
|
||||
handlers=_filter_graph_handlers(callbacks.handlers),
|
||||
inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
|
||||
parent_run_id=callbacks.parent_run_id,
|
||||
tags=callbacks.tags.copy(),
|
||||
inheritable_tags=callbacks.inheritable_tags.copy(),
|
||||
metadata=callbacks.metadata.copy(),
|
||||
inheritable_metadata=callbacks.inheritable_metadata.copy(),
|
||||
run_id=run_id,
|
||||
)
|
||||
if isinstance(callbacks, BaseCallbackManager):
|
||||
return cls(
|
||||
handlers=_filter_graph_handlers(callbacks.handlers),
|
||||
inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
|
||||
parent_run_id=callbacks.parent_run_id,
|
||||
tags=callbacks.tags.copy(),
|
||||
inheritable_tags=callbacks.inheritable_tags.copy(),
|
||||
metadata=callbacks.metadata.copy(),
|
||||
inheritable_metadata=callbacks.inheritable_metadata.copy(),
|
||||
run_id=run_id,
|
||||
)
|
||||
if isinstance(callbacks, GraphCallbackHandler):
|
||||
return cls((callbacks,), run_id=run_id)
|
||||
if isinstance(callbacks, (str, bytes)) or not isinstance(callbacks, Sequence):
|
||||
raise TypeError("callbacks must be a handler, sequence, or manager")
|
||||
return cls(_filter_graph_handlers(list(callbacks)), run_id=run_id)
|
||||
|
||||
|
||||
def _copy_graph_manager(
|
||||
manager: _GraphCallbackManager | _AsyncGraphCallbackManager,
|
||||
cls: type[_GraphManagerT],
|
||||
run_id: UUID | None | object,
|
||||
) -> _GraphManagerT:
|
||||
resolved_run_id: UUID | None
|
||||
if run_id is _MISSING:
|
||||
resolved_run_id = manager.run_id
|
||||
else:
|
||||
if run_id is not None and not isinstance(run_id, UUID):
|
||||
raise TypeError("run_id must be a UUID or None")
|
||||
resolved_run_id = run_id
|
||||
|
||||
return cls(
|
||||
handlers=_filter_graph_handlers(manager.handlers),
|
||||
inheritable_handlers=_filter_graph_handlers(manager.inheritable_handlers),
|
||||
parent_run_id=manager.parent_run_id,
|
||||
tags=manager.tags.copy(),
|
||||
inheritable_tags=manager.inheritable_tags.copy(),
|
||||
metadata=manager.metadata.copy(),
|
||||
inheritable_metadata=manager.inheritable_metadata.copy(),
|
||||
run_id=resolved_run_id,
|
||||
)
|
||||
|
||||
|
||||
class _GraphCallbackManager(BaseCallbackManager):
|
||||
"""Sync dispatcher for graph lifecycle events."""
|
||||
|
||||
run_id: UUID | None
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
handlers: Sequence[GraphCallbackHandler] | None = None,
|
||||
inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
|
||||
parent_run_id: UUID | None = None,
|
||||
*,
|
||||
tags: list[str] | None = None,
|
||||
inheritable_tags: list[str] | None = None,
|
||||
metadata: dict[str, Any] | None = None,
|
||||
inheritable_metadata: dict[str, Any] | None = None,
|
||||
run_id: UUID | None = None,
|
||||
) -> None:
|
||||
_init_base_manager(
|
||||
self,
|
||||
handlers,
|
||||
inheritable_handlers,
|
||||
parent_run_id,
|
||||
tags=tags,
|
||||
inheritable_tags=inheritable_tags,
|
||||
metadata=metadata,
|
||||
inheritable_metadata=inheritable_metadata,
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
def add_handler(
|
||||
self,
|
||||
handler: BaseCallbackHandler,
|
||||
inherit: bool = True, # noqa: FBT001,FBT002
|
||||
) -> None:
|
||||
if not isinstance(handler, GraphCallbackHandler):
|
||||
raise TypeError("handlers must inherit GraphCallbackHandler")
|
||||
super().add_handler(handler, inherit=inherit)
|
||||
|
||||
def copy(
|
||||
self,
|
||||
*,
|
||||
run_id: UUID | None | object = _MISSING,
|
||||
) -> _GraphCallbackManager:
|
||||
return _copy_graph_manager(self, _GraphCallbackManager, run_id)
|
||||
|
||||
@classmethod
|
||||
def configure(
|
||||
cls,
|
||||
callbacks: object | None = None,
|
||||
*,
|
||||
run_id: UUID | None = None,
|
||||
) -> _GraphCallbackManager:
|
||||
return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
|
||||
|
||||
def on_interrupt(self, event: GraphInterruptEvent) -> None:
|
||||
handle_event(
|
||||
self.handlers,
|
||||
"on_interrupt",
|
||||
None,
|
||||
event,
|
||||
)
|
||||
|
||||
def on_resume(self, event: GraphResumeEvent) -> None:
|
||||
handle_event(
|
||||
self.handlers,
|
||||
"on_resume",
|
||||
None,
|
||||
event,
|
||||
)
|
||||
|
||||
|
||||
class _AsyncGraphCallbackManager(BaseCallbackManager):
|
||||
"""Async dispatcher for graph lifecycle events."""
|
||||
|
||||
run_id: UUID | None
|
||||
|
||||
@property
|
||||
def is_async(self) -> bool:
|
||||
"""Return whether the manager is async."""
|
||||
return True
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
handlers: Sequence[GraphCallbackHandler] | None = None,
|
||||
inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
|
||||
parent_run_id: UUID | None = None,
|
||||
*,
|
||||
tags: list[str] | None = None,
|
||||
inheritable_tags: list[str] | None = None,
|
||||
metadata: dict[str, Any] | None = None,
|
||||
inheritable_metadata: dict[str, Any] | None = None,
|
||||
run_id: UUID | None = None,
|
||||
) -> None:
|
||||
_init_base_manager(
|
||||
self,
|
||||
handlers,
|
||||
inheritable_handlers,
|
||||
parent_run_id,
|
||||
tags=tags,
|
||||
inheritable_tags=inheritable_tags,
|
||||
metadata=metadata,
|
||||
inheritable_metadata=inheritable_metadata,
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
def add_handler(
|
||||
self,
|
||||
handler: BaseCallbackHandler,
|
||||
inherit: bool = True, # noqa: FBT001,FBT002
|
||||
) -> None:
|
||||
if not isinstance(handler, GraphCallbackHandler):
|
||||
raise TypeError("handlers must inherit GraphCallbackHandler")
|
||||
super().add_handler(handler, inherit=inherit)
|
||||
|
||||
def copy(
|
||||
self,
|
||||
*,
|
||||
run_id: UUID | None | object = _MISSING,
|
||||
) -> _AsyncGraphCallbackManager:
|
||||
return _copy_graph_manager(self, _AsyncGraphCallbackManager, run_id)
|
||||
|
||||
@classmethod
|
||||
def configure(
|
||||
cls,
|
||||
callbacks: object | None = None,
|
||||
*,
|
||||
run_id: UUID | None = None,
|
||||
) -> _AsyncGraphCallbackManager:
|
||||
return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
|
||||
|
||||
async def on_interrupt(self, event: GraphInterruptEvent) -> None:
|
||||
await ahandle_event(
|
||||
self.handlers,
|
||||
"on_interrupt",
|
||||
None,
|
||||
event,
|
||||
)
|
||||
|
||||
async def on_resume(self, event: GraphResumeEvent) -> None:
|
||||
await ahandle_event(
|
||||
self.handlers,
|
||||
"on_resume",
|
||||
None,
|
||||
event,
|
||||
)
|
||||
|
||||
|
||||
_GraphManagerT = TypeVar(
|
||||
"_GraphManagerT", _GraphCallbackManager, _AsyncGraphCallbackManager
|
||||
)
|
||||
|
||||
GraphCallbacks: TypeAlias = (
|
||||
_GraphCallbackManager
|
||||
| _AsyncGraphCallbackManager
|
||||
| BaseCallbackManager
|
||||
| GraphCallbackHandler
|
||||
| Sequence[BaseCallbackHandler]
|
||||
| Sequence[GraphCallbackHandler]
|
||||
| None
|
||||
)
|
||||
|
||||
|
||||
def get_sync_graph_callback_manager_for_config(
|
||||
config: RunnableConfig,
|
||||
*,
|
||||
run_id: UUID | None = None,
|
||||
) -> _GraphCallbackManager:
|
||||
"""Build a sync graph lifecycle callback manager from a runnable config.
|
||||
|
||||
This helper filters `config["callbacks"]` down to handlers that inherit
|
||||
from `GraphCallbackHandler` and binds the provided `run_id` onto the
|
||||
returned manager.
|
||||
"""
|
||||
return _GraphCallbackManager.configure(
|
||||
config.get("callbacks"),
|
||||
run_id=run_id,
|
||||
)
|
||||
|
||||
|
||||
def get_async_graph_callback_manager_for_config(
|
||||
config: RunnableConfig,
|
||||
*,
|
||||
run_id: UUID | None = None,
|
||||
) -> _AsyncGraphCallbackManager:
|
||||
"""Build an async graph lifecycle callback manager from a runnable config.
|
||||
|
||||
This helper filters `config["callbacks"]` down to handlers that inherit
|
||||
from `GraphCallbackHandler` and binds the provided `run_id` onto the
|
||||
returned manager.
|
||||
"""
|
||||
return _AsyncGraphCallbackManager.configure(
|
||||
config.get("callbacks"),
|
||||
run_id=run_id,
|
||||
)
|
||||
@@ -1,5 +1,7 @@
|
||||
import asyncio
|
||||
import sys
|
||||
from collections.abc import Callable
|
||||
from contextvars import ContextVar
|
||||
from typing import Any
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
@@ -9,6 +11,18 @@ from langgraph.store.base import BaseStore
|
||||
from langgraph._internal._constants import CONF, CONFIG_KEY_RUNTIME
|
||||
from langgraph.types import StreamWriter
|
||||
|
||||
_tool_call_writer: ContextVar[Callable[[Any], None] | None] = ContextVar(
|
||||
"langgraph_tool_call_writer", default=None
|
||||
)
|
||||
"""ContextVar holding the writer for the currently-executing tool call.
|
||||
|
||||
Set by `StreamToolCallHandler.on_tool_start` and reset on end/error.
|
||||
Defined here (rather than alongside the handler in `pregel/_tools.py`)
|
||||
so `emit_tool_output_delta` can import it without triggering the
|
||||
pregel import chain — user tool code does
|
||||
`from langgraph.config import emit_tool_output_delta` at import time.
|
||||
"""
|
||||
|
||||
|
||||
def _no_op_stream_writer(c: Any) -> None:
|
||||
pass
|
||||
@@ -194,3 +208,30 @@ def get_stream_writer() -> StreamWriter:
|
||||
"""
|
||||
runtime = get_config()[CONF][CONFIG_KEY_RUNTIME]
|
||||
return runtime.stream_writer
|
||||
|
||||
|
||||
def emit_tool_output_delta(delta: Any) -> None:
|
||||
"""Emit a `tool-output-delta` event onto the `tools` stream mode.
|
||||
|
||||
Must be called from inside a tool's execution scope (sync or async).
|
||||
While a tool is running, `StreamToolCallHandler.on_tool_start` sets a
|
||||
writer closure on a ContextVar keyed to that call's `tool_call_id`
|
||||
and namespace; this helper reads the ContextVar and forwards `delta`
|
||||
through it.
|
||||
|
||||
When called outside any tool call, or when the graph was not
|
||||
streamed with `"tools"` in `stream_mode`, this is a silent no-op —
|
||||
tool authors can leave `emit_tool_output_delta` calls in place
|
||||
without gating them on stream mode.
|
||||
|
||||
Args:
|
||||
delta: The partial output chunk to stream. Shape is up to the
|
||||
caller — strings are the common case, but any JSON-
|
||||
serializable value is accepted and surfaced as-is on the
|
||||
`tools` channel's `tool-output-delta` payload under
|
||||
`"delta"`.
|
||||
"""
|
||||
writer = _tool_call_writer.get()
|
||||
if writer is None:
|
||||
return
|
||||
writer(delta)
|
||||
|
||||
@@ -1045,6 +1045,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
interrupt_after: All | list[str] | None = None,
|
||||
debug: bool = False,
|
||||
name: str | None = None,
|
||||
transformers: Sequence[Callable[..., Any]] | None = None,
|
||||
) -> CompiledStateGraph[StateT, ContextT, InputT, OutputT]:
|
||||
"""Compiles the `StateGraph` into a `CompiledStateGraph` object.
|
||||
|
||||
@@ -1077,6 +1078,11 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
interrupt_after: An optional list of node names to interrupt after.
|
||||
debug: A flag indicating whether to enable debug mode.
|
||||
name: The name to use for the compiled graph.
|
||||
transformers: Optional sequence of zero-arg factories returning
|
||||
`StreamTransformer` instances. Registered on the compiled
|
||||
graph and instantiated per-run whenever `stream_v2` /
|
||||
`astream_v2` is called. Appended after the built-in
|
||||
`ValuesTransformer` and `MessagesTransformer`.
|
||||
|
||||
Returns:
|
||||
CompiledStateGraph: The compiled `StateGraph`.
|
||||
@@ -1159,6 +1165,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
store=store,
|
||||
cache=cache,
|
||||
name=name or "LangGraph",
|
||||
stream_transformers=transformers,
|
||||
)
|
||||
compiled._serde_allowlist = serde_allowlist
|
||||
|
||||
|
||||
@@ -0,0 +1,274 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import AsyncIterator, Callable, Iterator
|
||||
from typing import Any, TypeVar, cast
|
||||
from uuid import UUID
|
||||
|
||||
from langchain_core.callbacks import BaseCallbackHandler
|
||||
|
||||
from langgraph._internal._constants import NS_SEP
|
||||
from langgraph.errors import GraphInterrupt
|
||||
from langgraph.pregel.protocol import StreamChunk
|
||||
|
||||
try:
|
||||
from langchain_core.tracers._streaming import _StreamingCallbackHandler
|
||||
except ImportError:
|
||||
_StreamingCallbackHandler = object # type: ignore[assignment,misc]
|
||||
|
||||
|
||||
T = TypeVar("T")
|
||||
|
||||
|
||||
_LANGGRAPH_SENTINEL_NODES = frozenset({"__start__", "__end__"})
|
||||
|
||||
|
||||
def _is_nested_pregel_start(
|
||||
name: str | None,
|
||||
metadata: dict[str, Any] | None,
|
||||
parent_run_id: UUID | None,
|
||||
task_run_ids: set[UUID],
|
||||
) -> bool:
|
||||
"""Recognize a nested `Pregel` invocation from its `on_chain_start` metadata.
|
||||
|
||||
When a compiled graph is added as a node, pregel fires two
|
||||
`on_chain_start` callbacks at that task: first for the node chain
|
||||
(whose `name` matches `metadata["langgraph_node"]`) and second for
|
||||
the inner `Pregel` chain (whose `name` is the graph's `name`, not
|
||||
the node name). Both share the same `langgraph_checkpoint_ns`.
|
||||
|
||||
Primary signal: a `langgraph_checkpoint_ns` is set AND `name`
|
||||
differs from the owning task's `langgraph_node`. This covers the
|
||||
common case where the compiled subgraph's name differs from the
|
||||
node name it was registered under.
|
||||
|
||||
Fallback for name collisions (subgraph compiled with
|
||||
`name == node_name`): the inner `Pregel` start's `parent_run_id`
|
||||
is the run_id of the node chain's start event, which the handler
|
||||
records in `task_run_ids` on the first start. Matching
|
||||
`parent_run_id` to that set identifies the second start as the
|
||||
nested `Pregel` even when names coincide.
|
||||
|
||||
Regular node chains are skipped; the root `Pregel` (which has no
|
||||
`langgraph_node` metadata) isn't observed by this handler because
|
||||
the root's start fires before the handler is attached.
|
||||
|
||||
Metadata-based detection is used because `on_chain_start`'s
|
||||
`serialized` argument is `None` for compiled graphs in this
|
||||
version of langchain-core, so class-based detection via
|
||||
`serialized["id"]` isn't available.
|
||||
|
||||
Sentinel nodes (`__start__` / `__end__`) are excluded: conditional
|
||||
edges from `START` fire an `on_chain_start` with `lg_node=__start__`
|
||||
and the router function's name as `name`, which would otherwise
|
||||
match the discriminator without representing an actual nested
|
||||
`Pregel`.
|
||||
|
||||
Args:
|
||||
name: The `name` kwarg from `on_chain_start`.
|
||||
metadata: The `metadata` kwarg from `on_chain_start`.
|
||||
parent_run_id: The `parent_run_id` kwarg from `on_chain_start`.
|
||||
task_run_ids: The set of run_ids the handler has already seen
|
||||
as node-chain starts (i.e. `name == langgraph_node`).
|
||||
"""
|
||||
if not metadata:
|
||||
return False
|
||||
if not metadata.get("langgraph_checkpoint_ns"):
|
||||
return False
|
||||
lg_node = metadata.get("langgraph_node")
|
||||
if lg_node is None or lg_node in _LANGGRAPH_SENTINEL_NODES:
|
||||
return False
|
||||
if name != lg_node:
|
||||
return True
|
||||
# Name collision fallback: the inner Pregel's parent_run_id is
|
||||
# the node chain's run_id, which we recorded when that node
|
||||
# chain's start fired.
|
||||
return parent_run_id is not None and parent_run_id in task_run_ids
|
||||
|
||||
|
||||
class StreamLifecycleHandler(BaseCallbackHandler, _StreamingCallbackHandler):
|
||||
"""Callback handler that emits subgraph lifecycle events on the stream.
|
||||
|
||||
Pushes `LifecycleData`-shaped payloads onto the pregel stream under
|
||||
the `"lifecycle"` mode, keyed by the subgraph's namespace tuple.
|
||||
Drives the `started` → `running` → `completed` / `failed` /
|
||||
`interrupted` state machine.
|
||||
|
||||
The handler is attached to `run_manager.inheritable_handlers` inside
|
||||
a `Pregel.stream` / `astream` call, so it sees callbacks for every
|
||||
descendant chain (nodes, nested `Pregel` subgraphs) but *not* for
|
||||
the root `Pregel` whose start event has already fired. The root's
|
||||
`started` event is emitted eagerly at construction; its terminal
|
||||
state is emitted by `SubgraphTransformer.finalize` / `fail`.
|
||||
|
||||
`run_inline = True` keeps event ordering deterministic.
|
||||
"""
|
||||
|
||||
run_inline = True
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
stream: Callable[[StreamChunk], None],
|
||||
*,
|
||||
root_graph_name: str | None = None,
|
||||
) -> None:
|
||||
"""Initialize the handler and emit the root graph's `started` event.
|
||||
|
||||
Args:
|
||||
stream: Callable that accepts a `StreamChunk` tuple
|
||||
`(namespace, mode, payload)` and enqueues it.
|
||||
root_graph_name: The root `Pregel` instance's `name`, emitted
|
||||
with the root's `started` lifecycle payload.
|
||||
"""
|
||||
self.stream = stream
|
||||
# Namespaces awaiting the started→running transition.
|
||||
self._pending_running: set[tuple[str, ...]] = set()
|
||||
# run_id → subgraph namespace; populated only for Pregel chains.
|
||||
self._run_to_ns: dict[UUID, tuple[str, ...]] = {}
|
||||
# run_ids of node-chain starts (name == langgraph_node); used
|
||||
# as the parent_run_id fallback when a subgraph's name equals
|
||||
# its node name. Cleared as each chain ends.
|
||||
self._task_run_ids: set[UUID] = set()
|
||||
|
||||
root_payload: dict[str, Any] = {"event": "started"}
|
||||
if root_graph_name is not None:
|
||||
root_payload["graph_name"] = root_graph_name
|
||||
self.stream(((), "lifecycle", root_payload))
|
||||
self._pending_running.add(())
|
||||
|
||||
@staticmethod
|
||||
def _subgraph_ns_from_metadata(metadata: dict[str, Any] | None) -> tuple[str, ...]:
|
||||
"""Return the running subgraph's own namespace from task metadata.
|
||||
|
||||
For a nested `Pregel` invoked as a node, `langgraph_checkpoint_ns`
|
||||
ends at the node segment (no inner task appended yet), so
|
||||
splitting on `NS_SEP` gives the subgraph's own namespace.
|
||||
"""
|
||||
if not metadata:
|
||||
return ()
|
||||
nskey = metadata.get("langgraph_checkpoint_ns")
|
||||
if not nskey:
|
||||
return ()
|
||||
return tuple(cast(str, nskey).split(NS_SEP))
|
||||
|
||||
@staticmethod
|
||||
def _containing_ns_from_metadata(
|
||||
metadata: dict[str, Any] | None,
|
||||
) -> tuple[str, ...]:
|
||||
"""Return the namespace of the subgraph that contains this task.
|
||||
|
||||
For an inner task with `langgraph_checkpoint_ns`
|
||||
`"seg_a|seg_b"`, the containing subgraph is `("seg_a",)`.
|
||||
"""
|
||||
if not metadata:
|
||||
return ()
|
||||
nskey = metadata.get("langgraph_checkpoint_ns")
|
||||
if not nskey:
|
||||
return ()
|
||||
return tuple(cast(str, nskey).split(NS_SEP))[:-1]
|
||||
|
||||
def _emit(self, ns: tuple[str, ...], payload: dict[str, Any]) -> None:
|
||||
self.stream((ns, "lifecycle", payload))
|
||||
|
||||
def tap_output_aiter(
|
||||
self, run_id: UUID, output: AsyncIterator[T]
|
||||
) -> AsyncIterator[T]:
|
||||
"""Pass-through — required by the `_StreamingCallbackHandler` protocol.
|
||||
|
||||
Returns the iterator unchanged. A missing implementation lets
|
||||
langchain's default `Protocol` body return `None`, which breaks
|
||||
the `_consume_aiter` code path in `_runnable.py:900`.
|
||||
"""
|
||||
return output
|
||||
|
||||
def tap_output_iter(self, run_id: UUID, output: Iterator[T]) -> Iterator[T]:
|
||||
"""Pass-through — sync counterpart to `tap_output_aiter`."""
|
||||
return output
|
||||
|
||||
def _fire_running_if_pending(self, ns: tuple[str, ...]) -> None:
|
||||
if ns in self._pending_running:
|
||||
self._pending_running.discard(ns)
|
||||
self._emit(ns, {"event": "running"})
|
||||
|
||||
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:
|
||||
# Any descendant activity transitions the containing subgraph to running.
|
||||
containing = self._containing_ns_from_metadata(metadata)
|
||||
self._fire_running_if_pending(containing)
|
||||
|
||||
name = cast(str | None, kwargs.get("name"))
|
||||
lg_node = (metadata or {}).get("langgraph_node")
|
||||
|
||||
# Record node-chain starts so the name-collision fallback in
|
||||
# `_is_nested_pregel_start` can match the inner Pregel's
|
||||
# parent_run_id to them.
|
||||
if (
|
||||
lg_node is not None
|
||||
and lg_node not in _LANGGRAPH_SENTINEL_NODES
|
||||
and name == lg_node
|
||||
):
|
||||
self._task_run_ids.add(run_id)
|
||||
|
||||
if not _is_nested_pregel_start(
|
||||
name, metadata, parent_run_id, self._task_run_ids
|
||||
):
|
||||
return
|
||||
|
||||
ns = self._subgraph_ns_from_metadata(metadata)
|
||||
if not ns:
|
||||
return
|
||||
|
||||
self._run_to_ns[run_id] = ns
|
||||
payload: dict[str, Any] = {"event": "started"}
|
||||
if name:
|
||||
payload["graph_name"] = name
|
||||
# `cause` is intentionally not populated here: pregel does not know
|
||||
# what on the parent namespace triggered this subgraph. Product-
|
||||
# specific stream transformers populate `cause` before events
|
||||
# reach the wire. See LifecycleCause in the protocol definition.
|
||||
self._emit(ns, payload)
|
||||
self._pending_running.add(ns)
|
||||
|
||||
def on_chain_end(
|
||||
self,
|
||||
response: Any,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
self._task_run_ids.discard(run_id)
|
||||
ns = self._run_to_ns.pop(run_id, None)
|
||||
if ns is None:
|
||||
return
|
||||
# Ensure started→running fired even for empty subgraphs.
|
||||
if ns in self._pending_running:
|
||||
self._pending_running.discard(ns)
|
||||
self._emit(ns, {"event": "running"})
|
||||
self._emit(ns, {"event": "completed"})
|
||||
|
||||
def on_chain_error(
|
||||
self,
|
||||
error: BaseException,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
self._task_run_ids.discard(run_id)
|
||||
ns = self._run_to_ns.pop(run_id, None)
|
||||
if ns is None:
|
||||
return
|
||||
self._pending_running.discard(ns)
|
||||
if isinstance(error, GraphInterrupt):
|
||||
self._emit(ns, {"event": "interrupted"})
|
||||
else:
|
||||
self._emit(ns, {"event": "failed", "error": str(error)})
|
||||
@@ -62,6 +62,11 @@ from langgraph._internal._constants import (
|
||||
from langgraph._internal._replay import ReplayState
|
||||
from langgraph._internal._scratchpad import PregelScratchpad
|
||||
from langgraph._internal._typing import EMPTY_SEQ, MISSING
|
||||
from langgraph.callbacks import (
|
||||
GraphInterruptEvent,
|
||||
GraphLifecycleEvent,
|
||||
GraphResumeEvent,
|
||||
)
|
||||
from langgraph.channels.base import BaseChannel
|
||||
from langgraph.channels.untracked_value import UntrackedValue
|
||||
from langgraph.constants import TAG_HIDDEN
|
||||
@@ -117,6 +122,7 @@ from langgraph.types import (
|
||||
CachePolicy,
|
||||
Command,
|
||||
Durability,
|
||||
Interrupt,
|
||||
PregelExecutableTask,
|
||||
RetryPolicy,
|
||||
Send,
|
||||
@@ -203,6 +209,8 @@ class PregelLoop:
|
||||
tasks: dict[str, PregelExecutableTask]
|
||||
output: None | dict[str, Any] | Any = None
|
||||
updated_channels: set[str] | None = None
|
||||
_graph_lifecycle_events: deque[GraphLifecycleEvent]
|
||||
_has_graph_lifecycle_callbacks: bool
|
||||
|
||||
# public
|
||||
|
||||
@@ -228,6 +236,7 @@ class PregelLoop:
|
||||
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
|
||||
retry_policy: Sequence[RetryPolicy] = (),
|
||||
cache_policy: CachePolicy | None = None,
|
||||
has_graph_lifecycle_callbacks: bool = False,
|
||||
) -> None:
|
||||
self.stream = stream
|
||||
self.config = config
|
||||
@@ -252,6 +261,8 @@ class PregelLoop:
|
||||
self.retry_policy = retry_policy
|
||||
self.cache_policy = cache_policy
|
||||
self.durability = durability
|
||||
self._has_graph_lifecycle_callbacks = has_graph_lifecycle_callbacks
|
||||
self._graph_lifecycle_events = deque()
|
||||
if self.stream is not None and CONFIG_KEY_STREAM in config[CONF]:
|
||||
self.stream = DuplexStream(self.stream, config[CONF][CONFIG_KEY_STREAM])
|
||||
scratchpad: PregelScratchpad | None = config[CONF].get(CONFIG_KEY_SCRATCHPAD)
|
||||
@@ -303,6 +314,40 @@ class PregelLoop:
|
||||
)
|
||||
self.prev_checkpoint_config = None
|
||||
|
||||
def _push_graph_lifecycle_event(
|
||||
self,
|
||||
kind: Literal["resume", "interrupt"],
|
||||
*,
|
||||
interrupts: tuple[Interrupt, ...] = (),
|
||||
) -> None:
|
||||
if kind == "resume":
|
||||
self._graph_lifecycle_events.append(
|
||||
GraphResumeEvent(
|
||||
run_id=None,
|
||||
status=self.status,
|
||||
checkpoint_id=self.checkpoint["id"],
|
||||
checkpoint_ns=self.checkpoint_ns,
|
||||
)
|
||||
)
|
||||
elif kind == "interrupt":
|
||||
self._graph_lifecycle_events.append(
|
||||
GraphInterruptEvent(
|
||||
run_id=None,
|
||||
status=self.status,
|
||||
checkpoint_id=self.checkpoint["id"],
|
||||
checkpoint_ns=self.checkpoint_ns,
|
||||
interrupts=interrupts,
|
||||
)
|
||||
)
|
||||
else:
|
||||
msg = f"Unknown graph lifecycle event type: {kind}"
|
||||
raise AssertionError(msg)
|
||||
|
||||
def _pop_lifecycle_event(self) -> GraphLifecycleEvent | None:
|
||||
if not self._graph_lifecycle_events:
|
||||
return None
|
||||
return self._graph_lifecycle_events.popleft()
|
||||
|
||||
def put_writes(self, task_id: str, writes: WritesT) -> None:
|
||||
"""Put writes for a task, to be read by the next tick."""
|
||||
if not writes:
|
||||
@@ -785,6 +830,8 @@ class PregelLoop:
|
||||
)
|
||||
# set flag
|
||||
self.status = "pending"
|
||||
if is_resuming:
|
||||
self._push_graph_lifecycle_event("resume")
|
||||
return updated_channels
|
||||
|
||||
def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
|
||||
@@ -885,8 +932,10 @@ class PregelLoop:
|
||||
self._put_checkpoint(self.checkpoint_metadata)
|
||||
self._put_pending_writes()
|
||||
# suppress interrupt
|
||||
suppress = isinstance(exc_value, GraphInterrupt) and not self.is_nested
|
||||
if suppress:
|
||||
if isinstance(exc_value, GraphInterrupt) and not self.is_nested:
|
||||
interrupt = exc_value
|
||||
interrupts = tuple(interrupt.args[0]) if interrupt.args else ()
|
||||
self._push_graph_lifecycle_event("interrupt", interrupts=interrupts)
|
||||
# emit one last "values" event, with pending writes applied
|
||||
if (
|
||||
hasattr(self, "tasks")
|
||||
@@ -913,12 +962,11 @@ class PregelLoop:
|
||||
self.channels,
|
||||
)
|
||||
# emit INTERRUPT if exception is empty (otherwise emitted by put_writes)
|
||||
if exc_value is not None and (not exc_value.args or not exc_value.args[0]):
|
||||
if not interrupt.args or not interrupt.args[0]:
|
||||
interrupt_payload = interrupt.args[0] if interrupt.args else ()
|
||||
self._emit(
|
||||
"updates",
|
||||
lambda: iter(
|
||||
[{INTERRUPT: cast(GraphInterrupt, exc_value).args[0]}]
|
||||
),
|
||||
lambda: iter([{INTERRUPT: interrupt_payload}]),
|
||||
)
|
||||
# save final output
|
||||
self.output = read_channels(self.channels, self.output_keys)
|
||||
@@ -1040,6 +1088,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
|
||||
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
|
||||
retry_policy: Sequence[RetryPolicy] = (),
|
||||
cache_policy: CachePolicy | None = None,
|
||||
has_graph_lifecycle_callbacks: bool = False,
|
||||
) -> None:
|
||||
super().__init__(
|
||||
input,
|
||||
@@ -1061,6 +1110,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
|
||||
retry_policy=retry_policy,
|
||||
cache_policy=cache_policy,
|
||||
durability=durability,
|
||||
has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
|
||||
)
|
||||
self.stack = ExitStack()
|
||||
if checkpointer:
|
||||
@@ -1136,6 +1186,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
|
||||
# context manager
|
||||
|
||||
def __enter__(self) -> Self:
|
||||
self._graph_lifecycle_events = deque()
|
||||
if not self.checkpointer:
|
||||
saved = None
|
||||
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
|
||||
@@ -1236,6 +1287,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
|
||||
retry_policy: Sequence[RetryPolicy] = (),
|
||||
cache_policy: CachePolicy | None = None,
|
||||
has_graph_lifecycle_callbacks: bool = False,
|
||||
) -> None:
|
||||
super().__init__(
|
||||
input,
|
||||
@@ -1257,6 +1309,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
retry_policy=retry_policy,
|
||||
cache_policy=cache_policy,
|
||||
durability=durability,
|
||||
has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
|
||||
)
|
||||
self.stack = AsyncExitStack()
|
||||
if checkpointer:
|
||||
@@ -1335,6 +1388,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
# context manager
|
||||
|
||||
async def __aenter__(self) -> Self:
|
||||
self._graph_lifecycle_events = deque()
|
||||
if not self.checkpointer:
|
||||
saved = None
|
||||
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
|
||||
|
||||
@@ -14,7 +14,7 @@ from langchain_core.messages import BaseMessage
|
||||
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
|
||||
from pydantic import BaseModel
|
||||
|
||||
from langgraph._internal._constants import NS_SEP
|
||||
from langgraph._internal._constants import NS_END, NS_SEP
|
||||
from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
|
||||
from langgraph.pregel.protocol import StreamChunk
|
||||
from langgraph.types import Command
|
||||
@@ -24,6 +24,11 @@ try:
|
||||
except ImportError:
|
||||
_StreamingCallbackHandler = object # type: ignore
|
||||
|
||||
try:
|
||||
from langchain_core.tracers._streaming import _V2StreamingCallbackHandler
|
||||
except ImportError:
|
||||
_V2StreamingCallbackHandler = object # type: ignore
|
||||
|
||||
T = TypeVar("T")
|
||||
Meta = tuple[tuple[str, ...], dict[str, Any]]
|
||||
|
||||
@@ -132,15 +137,23 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
|
||||
**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
|
||||
]
|
||||
task_checkpoint_ns = cast(str, metadata["langgraph_checkpoint_ns"])
|
||||
checkpoint_ns = (
|
||||
f"{task_checkpoint_ns.rsplit(NS_END, 1)[0]}{NS_END}"
|
||||
if NS_END in task_checkpoint_ns
|
||||
else task_checkpoint_ns
|
||||
)
|
||||
ns = tuple(task_checkpoint_ns.split(NS_SEP))[:-1]
|
||||
if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
|
||||
return
|
||||
stream_metadata = dict(metadata)
|
||||
stream_metadata["langgraph_checkpoint_ns"] = checkpoint_ns
|
||||
# Preserve backwards-compatible streamed checkpoint metadata shape.
|
||||
stream_metadata["checkpoint_ns"] = checkpoint_ns
|
||||
if tags:
|
||||
if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:
|
||||
metadata["tags"] = filtered_tags
|
||||
self.metadata[run_id] = (ns, metadata)
|
||||
stream_metadata["tags"] = filtered_tags
|
||||
self.metadata[run_id] = (ns, stream_metadata)
|
||||
|
||||
def on_llm_new_token(
|
||||
self,
|
||||
@@ -248,3 +261,185 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
self.metadata.pop(run_id, None)
|
||||
|
||||
|
||||
class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler):
|
||||
"""v2 variant of `StreamMessagesHandler`.
|
||||
|
||||
Declaring `_V2StreamingCallbackHandler` as a base flips
|
||||
`BaseChatModel.invoke` to route through `_stream_chat_model_events`
|
||||
(firing `on_stream_event`) instead of `_stream` (firing
|
||||
`on_llm_new_token`). Inherits `on_stream_event` from the parent,
|
||||
which forwards protocol events onto the messages stream channel.
|
||||
|
||||
Pregel attaches this class instead of the v1 handler only when
|
||||
`GraphStreamer` opts in via the internal
|
||||
`CONFIG_KEY_STREAM_MESSAGES_V2` config key; direct
|
||||
`graph.stream(stream_mode="messages")` callers keep the v1
|
||||
AIMessageChunk shape.
|
||||
"""
|
||||
|
||||
def on_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:
|
||||
"""Record metadata with the FULL checkpoint namespace for v2.
|
||||
|
||||
v1's ``on_chat_model_start`` (inherited) slices the ns tuple
|
||||
with ``[:-1]`` to re-position chat model tokens onto the
|
||||
*containing pregel's* namespace — historically convenient for
|
||||
consumers of ``stream_mode="messages"`` who want "where did
|
||||
this node produce its output" rather than the chat-model's
|
||||
own task ns.
|
||||
|
||||
For the protocol-v2 wire shape that is wrong: the client
|
||||
subscribes the root feed at ``namespaces=[[]]`` with
|
||||
``depth=1``, and any message emitted at depth ``>=1`` that
|
||||
still carries the containing node's ns must appear at the
|
||||
*full* path from root so that depth filtering cleanly isolates
|
||||
subgraph chatter from the root conversation. JS's
|
||||
``StreamMessagesHandlerV2`` already does
|
||||
``metadata.langgraph_checkpoint_ns.split("|")`` (no slice); this
|
||||
override brings the Python v2 handler to the same shape.
|
||||
|
||||
Without this, a chat model invoked inside a nested subgraph
|
||||
(e.g. ``research -> researcher``, ``research`` being a root
|
||||
node that ``.ainvoke()``s a ``researcher`` subgraph) emits at
|
||||
``["research:<task>"]`` — a single level deep — which slips
|
||||
through the root-feed depth-1 filter and pollutes the main
|
||||
conversation with subgraph tokens. With this override we emit
|
||||
at ``["research:<task>", "researcher:<task>"]`` so the client
|
||||
routes those tokens to the subgraph card instead.
|
||||
"""
|
||||
if metadata and (not tags or (TAG_NOSTREAM not in tags)):
|
||||
task_checkpoint_ns = cast(str, metadata["langgraph_checkpoint_ns"])
|
||||
# Keep the trailing ``:<task_id>`` segment (unlike the v1
|
||||
# handler which strips it via ``[:-1]``). The client's
|
||||
# lifecycle events land on the same ns, so message deltas
|
||||
# now correlate 1:1 with a ``lifecycle: started`` event —
|
||||
# ``useMessages(stream, subgraph)`` picks them up without
|
||||
# needing to collapse sibling namespaces.
|
||||
ns = tuple(task_checkpoint_ns.split(NS_SEP))
|
||||
if not self.subgraphs and len(ns) > 1 and ns != self.parent_ns:
|
||||
return
|
||||
stream_metadata = dict(metadata)
|
||||
# Preserve the v1-shaped ``langgraph_checkpoint_ns`` (task
|
||||
# id stripped, trailing ``NS_END`` retained) so downstream
|
||||
# consumers reading checkpoint metadata off a streamed
|
||||
# message see the same shape they did pre-v2. Only the ns
|
||||
# tuple emitted on the wire changes.
|
||||
checkpoint_ns = (
|
||||
f"{task_checkpoint_ns.rsplit(NS_END, 1)[0]}{NS_END}"
|
||||
if NS_END in task_checkpoint_ns
|
||||
else task_checkpoint_ns
|
||||
)
|
||||
stream_metadata["langgraph_checkpoint_ns"] = checkpoint_ns
|
||||
stream_metadata["checkpoint_ns"] = checkpoint_ns
|
||||
if tags:
|
||||
if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:
|
||||
stream_metadata["tags"] = filtered_tags
|
||||
self.metadata[run_id] = (ns, stream_metadata)
|
||||
|
||||
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:
|
||||
"""Record chain (node) metadata with the FULL checkpoint ns.
|
||||
|
||||
Mirror of :meth:`on_chat_model_start` for the node-start path,
|
||||
so messages returned by ``on_chain_end`` (``Command`` updates
|
||||
and plain state dict outputs) land at the same full-path ns as
|
||||
any chat-model deltas from within that node. See the
|
||||
:meth:`on_chat_model_start` docstring for why the v1 ``[:-1]``
|
||||
slice is dropped here.
|
||||
"""
|
||||
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))
|
||||
if not self.subgraphs and len(ns) > 1:
|
||||
return
|
||||
self.metadata[run_id] = (ns, metadata)
|
||||
for value in _state_values(inputs):
|
||||
if isinstance(value, BaseMessage):
|
||||
if value.id is not None:
|
||||
self.seen.add(value.id)
|
||||
elif isinstance(value, Sequence) and not isinstance(value, str):
|
||||
for item in value:
|
||||
if isinstance(item, BaseMessage):
|
||||
if item.id is not None:
|
||||
self.seen.add(item.id)
|
||||
|
||||
def on_llm_new_token(
|
||||
self,
|
||||
token: str,
|
||||
*,
|
||||
chunk: ChatGenerationChunk | None = None,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
tags: list[str] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
"""Intentional no-op — v1 chunks are not used on v2-flagged runs.
|
||||
|
||||
The v2 marker already steers `invoke` to the event generator, so
|
||||
`on_llm_new_token` should not fire under normal routing. This
|
||||
override stays a pass-through (no call to `super()`) to make
|
||||
the intent explicit and to guard against any caller (e.g. a
|
||||
node that calls `model.stream()` directly, which still fires
|
||||
the v1 callback) leaking AIMessageChunks onto a v2-flagged
|
||||
messages stream.
|
||||
"""
|
||||
# Intentionally empty: v2 handler does not forward v1 chunks.
|
||||
|
||||
def on_stream_event(
|
||||
self,
|
||||
event: dict[str, Any],
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
tags: list[str] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
"""Forward a protocol event from `stream_v2` as a messages stream part.
|
||||
|
||||
Fires once per `MessagesData` event (`message-start`, per-block
|
||||
`content-block-*`, `message-finish`). The transformer layer
|
||||
correlates events back to a single `ChatModelStream` via
|
||||
`metadata["run_id"]` — attached here so the v1
|
||||
`stream_mode="messages"` output (which emits
|
||||
`(AIMessageChunk, metadata)` via `on_llm_new_token`) keeps its
|
||||
original metadata shape.
|
||||
|
||||
Lives on the v2 handler rather than the v1 base: content-block
|
||||
events are a v2-only concept, and forwarding them only when the
|
||||
v2 handler is attached keeps the message channel's shape
|
||||
predictable for v1 callers.
|
||||
"""
|
||||
if meta := self.metadata.get(run_id):
|
||||
# Record message_id on message-start so on_chain_end's
|
||||
# dedupe skips the finalized AIMessage the node returns
|
||||
# (otherwise the messages projection double-counts: once
|
||||
# from streaming, once from the chain output).
|
||||
if event.get("event") == "message-start":
|
||||
msg_id = event.get("message_id")
|
||||
if msg_id:
|
||||
self.seen.add(msg_id)
|
||||
v2_meta = {**meta[1], "run_id": str(run_id)}
|
||||
self.stream((meta[0], "messages", (event, v2_meta)))
|
||||
|
||||
@@ -0,0 +1,223 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import AsyncIterator, Callable, Iterator
|
||||
from contextvars import Token
|
||||
from typing import Any, TypeVar, cast
|
||||
from uuid import UUID
|
||||
|
||||
from langchain_core.callbacks import BaseCallbackHandler
|
||||
|
||||
from langgraph._internal._constants import NS_SEP
|
||||
from langgraph.config import _tool_call_writer
|
||||
from langgraph.pregel.protocol import StreamChunk
|
||||
|
||||
try:
|
||||
from langchain_core.tracers._streaming import _StreamingCallbackHandler
|
||||
except ImportError:
|
||||
_StreamingCallbackHandler = object # type: ignore[assignment,misc]
|
||||
|
||||
|
||||
T = TypeVar("T")
|
||||
|
||||
ToolCallWriter = Callable[[Any], None]
|
||||
"""A closure bound to a single tool call that emits `tool-output-delta` events."""
|
||||
|
||||
|
||||
class StreamToolCallHandler(BaseCallbackHandler, _StreamingCallbackHandler):
|
||||
"""Callback handler that emits tool-call lifecycle events on the stream.
|
||||
|
||||
Fires on LangChain's `on_tool_*` callbacks and pushes to the `tools`
|
||||
stream mode. Emits `tool-started` / `tool-output-delta` /
|
||||
`tool-finished` / `tool-error` payloads keyed by `tool_call_id`.
|
||||
|
||||
While a tool is executing, this handler sets `_tool_call_writer` to a
|
||||
closure bound to that call's namespace and `tool_call_id`. The
|
||||
`emit_tool_output_delta` helper in `langgraph.config` reads that
|
||||
ContextVar so tool bodies can stream partial output without threading
|
||||
the writer through their own signature.
|
||||
|
||||
Attached by `Pregel.stream` / `astream` when `"tools"` is in
|
||||
`stream_modes`. `run_inline = True` keeps event ordering
|
||||
deterministic.
|
||||
"""
|
||||
|
||||
run_inline = True
|
||||
|
||||
def __init__(self, stream: Callable[[StreamChunk], None]) -> None:
|
||||
"""Initialize the handler.
|
||||
|
||||
Args:
|
||||
stream: Callable that accepts a `StreamChunk` tuple
|
||||
`(namespace, mode, payload)` and enqueues it.
|
||||
"""
|
||||
self.stream = stream
|
||||
# run_id → (namespace, tool_call_id, ContextVar token)
|
||||
# `on_tool_end` does not receive `tool_call_id` in kwargs, so
|
||||
# we correlate by `run_id` which is present on every callback.
|
||||
self._run_to_call: dict[
|
||||
UUID, tuple[tuple[str, ...], str, Token[ToolCallWriter | None]]
|
||||
] = {}
|
||||
|
||||
@staticmethod
|
||||
def _containing_ns_from_metadata(
|
||||
metadata: dict[str, Any] | None,
|
||||
) -> tuple[str, ...]:
|
||||
"""Return the namespace of the subgraph that contains this tool call.
|
||||
|
||||
`langgraph_checkpoint_ns` on a tool's callback metadata ends with
|
||||
the `node_name:task_id` segment of the node that invoked the
|
||||
tool. Dropping that segment gives the subgraph's own namespace,
|
||||
which matches what other `tools` / `lifecycle` / `messages`
|
||||
emitters use.
|
||||
"""
|
||||
if not metadata:
|
||||
return ()
|
||||
nskey = metadata.get("langgraph_checkpoint_ns")
|
||||
if not nskey:
|
||||
return ()
|
||||
return tuple(cast(str, nskey).split(NS_SEP))[:-1]
|
||||
|
||||
def _start(
|
||||
self,
|
||||
serialized: dict[str, Any] | None,
|
||||
input_str: str,
|
||||
*,
|
||||
run_id: UUID,
|
||||
metadata: dict[str, Any] | None,
|
||||
inputs: dict[str, Any] | None,
|
||||
kwargs: dict[str, Any],
|
||||
) -> None:
|
||||
tool_call_id = cast("str | None", kwargs.get("tool_call_id")) or str(run_id)
|
||||
tool_name = (
|
||||
(serialized or {}).get("name")
|
||||
or cast("str | None", kwargs.get("name"))
|
||||
or ""
|
||||
)
|
||||
ns = self._containing_ns_from_metadata(metadata)
|
||||
|
||||
def writer(delta: Any) -> None:
|
||||
self.stream(
|
||||
(
|
||||
ns,
|
||||
"tools",
|
||||
{
|
||||
"event": "tool-output-delta",
|
||||
"tool_call_id": tool_call_id,
|
||||
"delta": delta,
|
||||
},
|
||||
)
|
||||
)
|
||||
|
||||
token = _tool_call_writer.set(writer)
|
||||
self._run_to_call[run_id] = (ns, tool_call_id, token)
|
||||
|
||||
payload: dict[str, Any] = {
|
||||
"event": "tool-started",
|
||||
"tool_call_id": tool_call_id,
|
||||
"tool_name": tool_name,
|
||||
}
|
||||
if inputs is not None:
|
||||
payload["input"] = inputs
|
||||
self.stream((ns, "tools", payload))
|
||||
|
||||
def _end(self, output: Any, *, run_id: UUID) -> None:
|
||||
info = self._run_to_call.pop(run_id, None)
|
||||
if info is None:
|
||||
return
|
||||
ns, tool_call_id, token = info
|
||||
self._reset_writer(token)
|
||||
self.stream(
|
||||
(
|
||||
ns,
|
||||
"tools",
|
||||
{
|
||||
"event": "tool-finished",
|
||||
"tool_call_id": tool_call_id,
|
||||
"output": output,
|
||||
},
|
||||
)
|
||||
)
|
||||
|
||||
def _error(self, error: BaseException, *, run_id: UUID) -> None:
|
||||
info = self._run_to_call.pop(run_id, None)
|
||||
if info is None:
|
||||
return
|
||||
ns, tool_call_id, token = info
|
||||
self._reset_writer(token)
|
||||
self.stream(
|
||||
(
|
||||
ns,
|
||||
"tools",
|
||||
{
|
||||
"event": "tool-error",
|
||||
"tool_call_id": tool_call_id,
|
||||
"message": str(error),
|
||||
},
|
||||
)
|
||||
)
|
||||
|
||||
def tap_output_aiter(
|
||||
self, run_id: UUID, output: AsyncIterator[T]
|
||||
) -> AsyncIterator[T]:
|
||||
"""Pass-through — required by the `_StreamingCallbackHandler` protocol."""
|
||||
return output
|
||||
|
||||
def tap_output_iter(self, run_id: UUID, output: Iterator[T]) -> Iterator[T]:
|
||||
"""Pass-through — sync counterpart to `tap_output_aiter`."""
|
||||
return output
|
||||
|
||||
@staticmethod
|
||||
def _reset_writer(token: Token[ToolCallWriter | None]) -> None:
|
||||
# Token is invalid if `on_tool_end` runs in a different context
|
||||
# than `on_tool_start` (e.g. langchain may hand off to a thread
|
||||
# worker without copying the context). Swallow that case; the
|
||||
# ContextVar lifetime is bounded by the enclosing task anyway.
|
||||
try:
|
||||
_tool_call_writer.reset(token)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Sync callbacks
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def on_tool_start(
|
||||
self,
|
||||
serialized: dict[str, Any],
|
||||
input_str: str,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
tags: list[str] | None = None,
|
||||
metadata: dict[str, Any] | None = None,
|
||||
inputs: dict[str, Any] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
self._start(
|
||||
serialized,
|
||||
input_str,
|
||||
run_id=run_id,
|
||||
metadata=metadata,
|
||||
inputs=inputs,
|
||||
kwargs=kwargs,
|
||||
)
|
||||
|
||||
def on_tool_end(
|
||||
self,
|
||||
output: Any,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
self._end(output, run_id=run_id)
|
||||
|
||||
def on_tool_error(
|
||||
self,
|
||||
error: BaseException,
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: UUID | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
self._error(error, run_id=run_id)
|
||||
@@ -16,7 +16,7 @@ from collections.abc import (
|
||||
Mapping,
|
||||
Sequence,
|
||||
)
|
||||
from dataclasses import is_dataclass
|
||||
from dataclasses import is_dataclass, replace
|
||||
from functools import partial
|
||||
from inspect import isclass
|
||||
from typing import (
|
||||
@@ -73,6 +73,7 @@ from langgraph._internal._constants import (
|
||||
CONFIG_KEY_RUNTIME,
|
||||
CONFIG_KEY_SEND,
|
||||
CONFIG_KEY_STREAM,
|
||||
CONFIG_KEY_STREAM_MESSAGES_V2,
|
||||
CONFIG_KEY_TASK_ID,
|
||||
CONFIG_KEY_THREAD_ID,
|
||||
ERROR,
|
||||
@@ -96,6 +97,12 @@ from langgraph._internal._runnable import (
|
||||
coerce_to_runnable,
|
||||
)
|
||||
from langgraph._internal._typing import MISSING, DeprecatedKwargs
|
||||
from langgraph.callbacks import (
|
||||
GraphInterruptEvent,
|
||||
GraphResumeEvent,
|
||||
get_async_graph_callback_manager_for_config,
|
||||
get_sync_graph_callback_manager_for_config,
|
||||
)
|
||||
from langgraph.channels.base import BaseChannel
|
||||
from langgraph.channels.topic import Topic
|
||||
from langgraph.config import get_config
|
||||
@@ -123,14 +130,19 @@ from langgraph.pregel._checkpoint import (
|
||||
)
|
||||
from langgraph.pregel._draw import draw_graph
|
||||
from langgraph.pregel._io import map_input, read_channels
|
||||
from langgraph.pregel._lifecycle import StreamLifecycleHandler
|
||||
from langgraph.pregel._loop import (
|
||||
AsyncPregelLoop,
|
||||
SyncPregelLoop,
|
||||
)
|
||||
from langgraph.pregel._messages import StreamMessagesHandler
|
||||
from langgraph.pregel._messages import (
|
||||
StreamMessagesHandler,
|
||||
StreamMessagesHandlerV2,
|
||||
)
|
||||
from langgraph.pregel._read import DEFAULT_BOUND, PregelNode
|
||||
from langgraph.pregel._retry import RetryPolicy
|
||||
from langgraph.pregel._runner import PregelRunner
|
||||
from langgraph.pregel._tools import StreamToolCallHandler
|
||||
from langgraph.pregel._utils import get_new_channel_versions
|
||||
from langgraph.pregel._validate import validate_graph, validate_keys
|
||||
from langgraph.pregel._write import ChannelWrite, ChannelWriteEntry
|
||||
@@ -334,6 +346,65 @@ class NodeBuilder:
|
||||
)
|
||||
|
||||
|
||||
def _collect_stream_modes(mux: Any) -> list[StreamMode]:
|
||||
"""Return the union of `required_stream_modes` across registered transformers.
|
||||
|
||||
Transformers declare the stream modes they need to function, and
|
||||
`stream_v2` asks the graph for exactly that union — no hardcoded
|
||||
default set. If zero transformers are registered (or none declares
|
||||
a given mode), the graph does not stream events for that mode.
|
||||
"""
|
||||
modes: set[str] = set()
|
||||
for transformer in mux._transformers:
|
||||
modes.update(transformer.required_stream_modes)
|
||||
return cast("list[StreamMode]", list(modes))
|
||||
|
||||
|
||||
def _build_stream_factories(
|
||||
compile_time: Sequence[Callable[..., Any]],
|
||||
call_site: Sequence[Any] | None,
|
||||
) -> list[Callable[..., Any]]:
|
||||
"""Assemble the factory list handed to `StreamMux(factories=...)`.
|
||||
|
||||
Prepends the built-in `ValuesTransformer`, `MessagesTransformer`,
|
||||
and `SubgraphTransformer` factories, then appends the graph's
|
||||
compile-time `stream_transformers` followed by any call-site
|
||||
additions. Factories flow down into subgraph mini-muxes, so
|
||||
per-scope instances propagate automatically.
|
||||
"""
|
||||
from langgraph.stream.transformers import (
|
||||
MessagesTransformer,
|
||||
SubgraphTransformer,
|
||||
ToolLifecycleTransformer,
|
||||
ValuesTransformer,
|
||||
)
|
||||
|
||||
builtins: list[Callable[..., Any]] = [
|
||||
ValuesTransformer,
|
||||
ToolLifecycleTransformer,
|
||||
MessagesTransformer,
|
||||
SubgraphTransformer,
|
||||
]
|
||||
return [*builtins, *compile_time, *(call_site or ())]
|
||||
|
||||
|
||||
def _merge_v2_messages_flag(
|
||||
config: RunnableConfig | None,
|
||||
) -> RunnableConfig:
|
||||
"""Return a config with the v2 messages flag set in `configurable`.
|
||||
|
||||
Signals to pregel that `stream_mode="messages"` should attach
|
||||
`StreamMessagesHandlerV2` for this call so invoke-time model runs
|
||||
route through the v2 event generator and their protocol events
|
||||
reach the messages channel.
|
||||
"""
|
||||
merged: RunnableConfig = dict(config or {}) # type: ignore[assignment]
|
||||
configurable = dict(merged.get(CONF) or {})
|
||||
configurable[CONFIG_KEY_STREAM_MESSAGES_V2] = True
|
||||
merged[CONF] = configurable
|
||||
return merged
|
||||
|
||||
|
||||
class Pregel(
|
||||
PregelProtocol[StateT, ContextT, InputT, OutputT],
|
||||
Generic[StateT, ContextT, InputT, OutputT],
|
||||
@@ -665,6 +736,7 @@ class Pregel(
|
||||
config: RunnableConfig | None = None,
|
||||
trigger_to_nodes: Mapping[str, Sequence[str]] | None = None,
|
||||
name: str = "LangGraph",
|
||||
stream_transformers: Sequence[Callable[..., Any]] | None = None,
|
||||
**deprecated_kwargs: Unpack[DeprecatedKwargs],
|
||||
) -> None:
|
||||
if (
|
||||
@@ -711,6 +783,9 @@ class Pregel(
|
||||
self.config = config
|
||||
self.trigger_to_nodes = trigger_to_nodes or {}
|
||||
self.name = name
|
||||
self._stream_transformers: tuple[Callable[..., Any], ...] = tuple(
|
||||
stream_transformers or ()
|
||||
)
|
||||
self._serde_allowlist: set[tuple[str, ...]] | None = None
|
||||
if auto_validate:
|
||||
self.validate()
|
||||
@@ -801,6 +876,15 @@ class Pregel(
|
||||
|
||||
def copy(self, update: dict[str, Any] | None = None) -> Self:
|
||||
attrs = {k: v for k, v in self.__dict__.items() if k != "__orig_class__"}
|
||||
# ``__init__`` accepts ``stream_transformers`` (public parameter) but
|
||||
# the attribute is stored as ``_stream_transformers`` (private). Map
|
||||
# the private key back onto the public kwarg so compile-time
|
||||
# transformers survive ``copy()`` / ``with_config()``. Without this,
|
||||
# ``_stream_transformers`` gets captured by ``**deprecated_kwargs``
|
||||
# and the resulting instance silently has an empty transformer
|
||||
# pipeline.
|
||||
if "_stream_transformers" in attrs:
|
||||
attrs["stream_transformers"] = attrs.pop("_stream_transformers")
|
||||
attrs.update(update or {})
|
||||
return self.__class__(**attrs)
|
||||
|
||||
@@ -2585,6 +2669,10 @@ class Pregel(
|
||||
name=config.get("run_name", self.get_name()),
|
||||
run_id=config.get("run_id"),
|
||||
)
|
||||
graph_callback_manager = get_sync_graph_callback_manager_for_config(
|
||||
config,
|
||||
run_id=run_manager.run_id,
|
||||
)
|
||||
try:
|
||||
# assign defaults
|
||||
(
|
||||
@@ -2616,14 +2704,34 @@ class Pregel(
|
||||
# set up messages stream mode
|
||||
if "messages" in stream_modes:
|
||||
ns_ = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
|
||||
messages_handler_cls = (
|
||||
StreamMessagesHandlerV2
|
||||
if config[CONF].get(CONFIG_KEY_STREAM_MESSAGES_V2)
|
||||
else StreamMessagesHandler
|
||||
)
|
||||
run_manager.inheritable_handlers.append(
|
||||
StreamMessagesHandler(
|
||||
messages_handler_cls(
|
||||
stream.put,
|
||||
subgraphs,
|
||||
parent_ns=tuple(ns_.split(NS_SEP)) if ns_ else None,
|
||||
)
|
||||
)
|
||||
|
||||
# set up lifecycle stream mode
|
||||
if "lifecycle" in stream_modes:
|
||||
run_manager.inheritable_handlers.append(
|
||||
StreamLifecycleHandler(
|
||||
stream.put,
|
||||
root_graph_name=self.name,
|
||||
)
|
||||
)
|
||||
|
||||
# set up tools stream mode
|
||||
if "tools" in stream_modes:
|
||||
run_manager.inheritable_handlers.append(
|
||||
StreamToolCallHandler(stream.put)
|
||||
)
|
||||
|
||||
# set up custom stream mode
|
||||
if "custom" in stream_modes:
|
||||
|
||||
@@ -2669,6 +2777,17 @@ class Pregel(
|
||||
_output_mapper = self._output_mapper if version == "v2" else None
|
||||
_state_mapper = self._state_mapper if version == "v2" else None
|
||||
|
||||
def emit_graph_lifecycle_events(loop: SyncPregelLoop) -> None:
|
||||
while (event := loop._pop_lifecycle_event()) is not None:
|
||||
if isinstance(event, GraphResumeEvent):
|
||||
graph_callback_manager.on_resume(
|
||||
replace(event, run_id=graph_callback_manager.run_id)
|
||||
)
|
||||
else:
|
||||
graph_callback_manager.on_interrupt(
|
||||
replace(event, run_id=graph_callback_manager.run_id)
|
||||
)
|
||||
|
||||
with SyncPregelLoop(
|
||||
input,
|
||||
stream=StreamProtocol(stream.put, stream_modes),
|
||||
@@ -2689,7 +2808,9 @@ class Pregel(
|
||||
migrate_checkpoint=self._migrate_checkpoint,
|
||||
retry_policy=self.retry_policy,
|
||||
cache_policy=self.cache_policy,
|
||||
has_graph_lifecycle_callbacks=bool(graph_callback_manager.handlers),
|
||||
) as loop:
|
||||
emit_graph_lifecycle_events(loop)
|
||||
# create runner
|
||||
runner = PregelRunner(
|
||||
submit=config[CONF].get(
|
||||
@@ -2751,9 +2872,11 @@ class Pregel(
|
||||
_state_mapper,
|
||||
)
|
||||
loop.after_tick()
|
||||
emit_graph_lifecycle_events(loop)
|
||||
# wait for checkpoint
|
||||
if durability_ == "sync":
|
||||
loop._put_checkpoint_fut.result()
|
||||
emit_graph_lifecycle_events(loop)
|
||||
# emit output
|
||||
yield from _output(
|
||||
stream_mode,
|
||||
@@ -2928,6 +3051,10 @@ class Pregel(
|
||||
name=config.get("run_name", self.get_name()),
|
||||
run_id=config.get("run_id"),
|
||||
)
|
||||
graph_callback_manager = get_async_graph_callback_manager_for_config(
|
||||
config,
|
||||
run_id=run_manager.run_id,
|
||||
)
|
||||
# if running from astream_log() run each proc with streaming
|
||||
do_stream = (
|
||||
next(
|
||||
@@ -2974,14 +3101,34 @@ class Pregel(
|
||||
if "messages" in stream_modes:
|
||||
# namespace can be None in a root level graph?
|
||||
ns_ = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
|
||||
messages_handler_cls = (
|
||||
StreamMessagesHandlerV2
|
||||
if config[CONF].get(CONFIG_KEY_STREAM_MESSAGES_V2)
|
||||
else StreamMessagesHandler
|
||||
)
|
||||
run_manager.inheritable_handlers.append(
|
||||
StreamMessagesHandler(
|
||||
messages_handler_cls(
|
||||
stream_put,
|
||||
subgraphs,
|
||||
parent_ns=tuple(ns_.split(NS_SEP)) if ns_ else None,
|
||||
)
|
||||
)
|
||||
|
||||
# set up lifecycle stream mode
|
||||
if "lifecycle" in stream_modes:
|
||||
run_manager.inheritable_handlers.append(
|
||||
StreamLifecycleHandler(
|
||||
stream_put,
|
||||
root_graph_name=self.name,
|
||||
)
|
||||
)
|
||||
|
||||
# set up tools stream mode
|
||||
if "tools" in stream_modes:
|
||||
run_manager.inheritable_handlers.append(
|
||||
StreamToolCallHandler(stream_put)
|
||||
)
|
||||
|
||||
# set up custom stream mode
|
||||
def stream_writer(c: Any) -> None:
|
||||
aioloop.call_soon_threadsafe(
|
||||
@@ -3042,6 +3189,28 @@ class Pregel(
|
||||
_output_mapper = self._output_mapper if version == "v2" else None
|
||||
_state_mapper = self._state_mapper if version == "v2" else None
|
||||
|
||||
async def aemit_graph_lifecycle_events(loop: AsyncPregelLoop) -> None:
|
||||
while (event := loop._pop_lifecycle_event()) is not None:
|
||||
if isinstance(event, GraphResumeEvent):
|
||||
await graph_callback_manager.on_resume(
|
||||
GraphResumeEvent(
|
||||
run_id=graph_callback_manager.run_id,
|
||||
status=event.status,
|
||||
checkpoint_id=event.checkpoint_id,
|
||||
checkpoint_ns=event.checkpoint_ns,
|
||||
)
|
||||
)
|
||||
else:
|
||||
await graph_callback_manager.on_interrupt(
|
||||
GraphInterruptEvent(
|
||||
run_id=graph_callback_manager.run_id,
|
||||
status=event.status,
|
||||
checkpoint_id=event.checkpoint_id,
|
||||
checkpoint_ns=event.checkpoint_ns,
|
||||
interrupts=event.interrupts,
|
||||
)
|
||||
)
|
||||
|
||||
async with AsyncPregelLoop(
|
||||
input,
|
||||
stream=StreamProtocol(stream.put_nowait, stream_modes),
|
||||
@@ -3062,7 +3231,9 @@ class Pregel(
|
||||
migrate_checkpoint=self._migrate_checkpoint,
|
||||
retry_policy=self.retry_policy,
|
||||
cache_policy=self.cache_policy,
|
||||
has_graph_lifecycle_callbacks=bool(graph_callback_manager.handlers),
|
||||
) as loop:
|
||||
await aemit_graph_lifecycle_events(loop)
|
||||
# create runner
|
||||
runner = PregelRunner(
|
||||
submit=config[CONF].get(
|
||||
@@ -3144,6 +3315,7 @@ class Pregel(
|
||||
):
|
||||
yield o
|
||||
loop.after_tick()
|
||||
await aemit_graph_lifecycle_events(loop)
|
||||
# wait for checkpoint
|
||||
if durability_ == "sync":
|
||||
await cast(asyncio.Future, loop._put_checkpoint_fut)
|
||||
@@ -3152,6 +3324,8 @@ class Pregel(
|
||||
if _cleanup_waiter is not None:
|
||||
await _cleanup_waiter()
|
||||
|
||||
await aemit_graph_lifecycle_events(loop)
|
||||
|
||||
# emit output
|
||||
for o in _output(
|
||||
stream_mode,
|
||||
@@ -3181,6 +3355,106 @@ class Pregel(
|
||||
await asyncio.shield(run_manager.on_chain_error(e))
|
||||
raise
|
||||
|
||||
def stream_v2(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
transformers: Sequence[Any] | None = None,
|
||||
stream_modes: Sequence[StreamMode] | None = None,
|
||||
output_keys: str | Sequence[str] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
"""Start a sync v2 streaming run driven by transformer projections.
|
||||
|
||||
Builds a `StreamMux` from the built-in `ValuesTransformer` /
|
||||
`MessagesTransformer`, this graph's compile-time
|
||||
`stream_transformers`, and any additional `transformers=`
|
||||
supplied at the call site. Returns a `GraphRunStream` that the
|
||||
caller drives by iterating any projection — no background
|
||||
thread.
|
||||
|
||||
Args:
|
||||
input: Graph input.
|
||||
config: Optional runnable config forwarded to the graph.
|
||||
interrupt_before: Nodes to interrupt before, if any.
|
||||
interrupt_after: Nodes to interrupt after, if any.
|
||||
transformers: Extra transformer instances appended after
|
||||
compile-time `stream_transformers`.
|
||||
|
||||
Returns:
|
||||
A `GraphRunStream` the caller iterates to drive the run.
|
||||
"""
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from langgraph.stream.run_stream import GraphRunStream
|
||||
|
||||
factories = _build_stream_factories(self._stream_transformers, transformers)
|
||||
mux = StreamMux(factories=factories, is_async=False)
|
||||
requested_stream_modes = set(_collect_stream_modes(mux))
|
||||
requested_stream_modes.update(stream_modes or ())
|
||||
graph_iter = iter(
|
||||
self.stream(
|
||||
input,
|
||||
_merge_v2_messages_flag(config),
|
||||
stream_mode=list(requested_stream_modes),
|
||||
subgraphs=True,
|
||||
version="v2",
|
||||
output_keys=output_keys,
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
**kwargs,
|
||||
)
|
||||
)
|
||||
return GraphRunStream(graph_iter, mux)
|
||||
|
||||
async def astream_v2(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
transformers: Sequence[Any] | None = None,
|
||||
stream_modes: Sequence[StreamMode] | None = None,
|
||||
output_keys: str | Sequence[str] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
"""Async counterpart to `stream_v2`.
|
||||
|
||||
Returns an `AsyncGraphRunStream` whose projections can be awaited
|
||||
concurrently; each subscribed cursor drives the pump when its
|
||||
buffer is empty.
|
||||
|
||||
Args:
|
||||
input: Graph input.
|
||||
config: Optional runnable config forwarded to the graph.
|
||||
interrupt_before: Nodes to interrupt before, if any.
|
||||
interrupt_after: Nodes to interrupt after, if any.
|
||||
transformers: Extra transformer instances appended after
|
||||
compile-time `stream_transformers`.
|
||||
"""
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from langgraph.stream.run_stream import AsyncGraphRunStream
|
||||
|
||||
factories = _build_stream_factories(self._stream_transformers, transformers)
|
||||
mux = StreamMux(factories=factories, is_async=True)
|
||||
requested_stream_modes = set(_collect_stream_modes(mux))
|
||||
requested_stream_modes.update(stream_modes or ())
|
||||
graph_aiter = self.astream(
|
||||
input,
|
||||
_merge_v2_messages_flag(config),
|
||||
stream_mode=list(requested_stream_modes),
|
||||
subgraphs=True,
|
||||
version="v2",
|
||||
output_keys=output_keys,
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
**kwargs,
|
||||
).__aiter__()
|
||||
return AsyncGraphRunStream(graph_aiter, mux)
|
||||
|
||||
@overload
|
||||
def invoke(
|
||||
self,
|
||||
@@ -3659,15 +3933,14 @@ def _coerce_checkpoint_values(payload: Any, mapper: Callable[[Any], Any]) -> Non
|
||||
def _build_server_info(
|
||||
config: RunnableConfig, parent_runtime: Runtime[Any]
|
||||
) -> ServerInfo | None:
|
||||
"""Build ServerInfo from config metadata and configurable.
|
||||
"""Build ServerInfo from config configurable.
|
||||
|
||||
The server puts assistant_id/graph_id in config metadata and the
|
||||
The server puts assistant_id/graph_id in config configurable and the
|
||||
authenticated user dict in configurable["langgraph_auth_user"].
|
||||
"""
|
||||
metadata = config.get("metadata") or {}
|
||||
configurable = config.get(CONF) or {}
|
||||
assistant_id = metadata.get("assistant_id")
|
||||
graph_id = metadata.get("graph_id")
|
||||
assistant_id = configurable.get("assistant_id")
|
||||
graph_id = configurable.get("graph_id")
|
||||
|
||||
# Read authenticated user from configurable (set by LangGraph Server).
|
||||
# We prefer isinstance(BaseUser) but fall back to hasattr("identity")
|
||||
|
||||
@@ -650,22 +650,46 @@ class RemoteGraph(PregelProtocol):
|
||||
"""
|
||||
updated_stream_modes: list[StreamModeSDK] = []
|
||||
req_single = True
|
||||
# `"lifecycle"` is emitted locally by the `StreamLifecycleHandler`
|
||||
# attached inside `Pregel.stream` / `astream`. The remote graph
|
||||
# API has no corresponding mode, so requests for it against a
|
||||
# `RemoteGraph` are silently stripped here and a warning is
|
||||
# logged so the caller isn't left wondering why no lifecycle
|
||||
# events arrive.
|
||||
dropped_lifecycle = False
|
||||
# coerce to list, or add default stream mode
|
||||
if stream_mode:
|
||||
if isinstance(stream_mode, str):
|
||||
updated_stream_modes.append(stream_mode)
|
||||
if stream_mode != "lifecycle":
|
||||
updated_stream_modes.append(cast(StreamModeSDK, stream_mode))
|
||||
else:
|
||||
dropped_lifecycle = True
|
||||
else:
|
||||
req_single = False
|
||||
updated_stream_modes.extend(stream_mode)
|
||||
for m in stream_mode:
|
||||
if m == "lifecycle":
|
||||
dropped_lifecycle = True
|
||||
else:
|
||||
updated_stream_modes.append(cast(StreamModeSDK, m))
|
||||
else:
|
||||
updated_stream_modes.append(default)
|
||||
updated_stream_modes.append(default) # type: ignore[arg-type]
|
||||
requested_stream_modes = updated_stream_modes.copy()
|
||||
# add any from parent graph
|
||||
stream: StreamProtocol | None = (
|
||||
(config or {}).get(CONF, {}).get(CONFIG_KEY_STREAM)
|
||||
)
|
||||
if stream:
|
||||
updated_stream_modes.extend(stream.modes)
|
||||
for m in stream.modes:
|
||||
if m == "lifecycle":
|
||||
dropped_lifecycle = True
|
||||
else:
|
||||
updated_stream_modes.append(cast(StreamModeSDK, m))
|
||||
if dropped_lifecycle:
|
||||
logger.warning(
|
||||
"Stream mode 'lifecycle' is not supported by RemoteGraph "
|
||||
"and was stripped from the request; no lifecycle events "
|
||||
"will be emitted for this remote run."
|
||||
)
|
||||
# map "messages" to "messages-tuple"
|
||||
if "messages" in updated_stream_modes:
|
||||
updated_stream_modes.remove("messages")
|
||||
|
||||
@@ -0,0 +1,20 @@
|
||||
"""Streaming infrastructure for LangGraph.
|
||||
|
||||
Compile a graph with `transformers=[...]` and call `graph.stream_v2()` /
|
||||
`graph.astream_v2()` to drive a transformer pipeline that projects the
|
||||
graph's raw events into ergonomic per-channel streams.
|
||||
"""
|
||||
|
||||
from langgraph.stream._event_log import EventLog
|
||||
from langgraph.stream._types import ProtocolEvent, StreamTransformer
|
||||
from langgraph.stream.run_stream import AsyncGraphRunStream, GraphRunStream
|
||||
from langgraph.stream.stream_channel import StreamChannel
|
||||
|
||||
__all__ = [
|
||||
"AsyncGraphRunStream",
|
||||
"EventLog",
|
||||
"GraphRunStream",
|
||||
"ProtocolEvent",
|
||||
"StreamChannel",
|
||||
"StreamTransformer",
|
||||
]
|
||||
@@ -0,0 +1,71 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import time
|
||||
from typing import Any, cast
|
||||
|
||||
from langgraph.stream._types import ProtocolEvent, _ProtocolEventParams
|
||||
from langgraph.types import StreamPart
|
||||
|
||||
|
||||
def _is_v2_messages_payload(data: Any) -> bool:
|
||||
return isinstance(data, dict) and isinstance(data.get("event"), str)
|
||||
|
||||
|
||||
def _normalize_messages_data(data: dict[str, Any]) -> dict[str, Any]:
|
||||
"""Normalize Python Core message fields to the protocol wire shape."""
|
||||
normalized = {**data}
|
||||
if (
|
||||
normalized["event"] == "message-start"
|
||||
and "id" not in normalized
|
||||
and isinstance(normalized.get("message_id"), str)
|
||||
):
|
||||
normalized["id"] = normalized["message_id"]
|
||||
if (
|
||||
normalized["event"]
|
||||
in ("content-block-start", "content-block-delta", "content-block-finish")
|
||||
and "content" not in normalized
|
||||
and isinstance(normalized.get("content_block"), dict)
|
||||
):
|
||||
normalized["content"] = normalized["content_block"]
|
||||
normalized.pop("message_id", None)
|
||||
normalized.pop("content_block", None)
|
||||
return normalized
|
||||
|
||||
|
||||
def convert_to_protocol_event(part: StreamPart) -> ProtocolEvent:
|
||||
"""Convert a v2 StreamPart to a ProtocolEvent.
|
||||
|
||||
Args:
|
||||
part: A stream part with keys `type`, `ns`, `data`, and
|
||||
optionally `interrupts` (present on values events).
|
||||
|
||||
Returns:
|
||||
The equivalent ProtocolEvent.
|
||||
"""
|
||||
part_dict = cast(dict[str, Any], part)
|
||||
data = part_dict["data"]
|
||||
params: _ProtocolEventParams = {
|
||||
"namespace": list(part_dict["ns"]),
|
||||
"timestamp": int(time.time() * 1000),
|
||||
"data": data,
|
||||
}
|
||||
if (
|
||||
part_dict["type"] == "messages"
|
||||
and isinstance(data, tuple)
|
||||
and len(data) == 2
|
||||
and _is_v2_messages_payload(data[0])
|
||||
and isinstance(data[1], dict)
|
||||
):
|
||||
payload, metadata = data
|
||||
params["data"] = _normalize_messages_data(payload)
|
||||
if isinstance(metadata.get("langgraph_node"), str):
|
||||
params["node"] = metadata["langgraph_node"]
|
||||
if isinstance(metadata.get("run_id"), str):
|
||||
params["run_id"] = metadata["run_id"]
|
||||
if "interrupts" in part_dict:
|
||||
params["interrupts"] = part_dict["interrupts"]
|
||||
return {
|
||||
"type": "event",
|
||||
"method": part_dict["type"],
|
||||
"params": params,
|
||||
}
|
||||
@@ -0,0 +1,306 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
from collections import deque
|
||||
from collections.abc import AsyncIterator, Awaitable, Callable, Iterator
|
||||
from typing import Generic, TypeVar
|
||||
|
||||
T = TypeVar("T")
|
||||
|
||||
|
||||
class EventLog(Generic[T]):
|
||||
"""Single-consumer drainable queue for streaming events.
|
||||
|
||||
Items are popped off the front as the consumer advances — there is
|
||||
no retention beyond what's currently queued. A log accepts exactly
|
||||
one subscriber; a second `__iter__` / `__aiter__` call raises. Use
|
||||
`tee(n)` / `atee(n)` for fan-out.
|
||||
|
||||
Starts unbound — neither `__iter__` nor `__aiter__` is available
|
||||
until the StreamMux calls `_bind(is_async)`. After binding, only
|
||||
the matching iteration protocol works; the other raises `TypeError`.
|
||||
|
||||
Pump wiring (set by the run stream, not by `_bind`):
|
||||
- `_request_more`: sync pump callable, returns True if a new
|
||||
event was produced.
|
||||
- `_arequest_more`: async pump coroutine factory, same contract.
|
||||
|
||||
Memory is bounded by caller pace: both sync and async use caller-
|
||||
driven pumps, so each cursor advance produces at most one event.
|
||||
The only shape where a log can accumulate meaningfully is
|
||||
concurrent async consumers at unequal rates — a slow consumer's
|
||||
log grows while fast consumers drive the shared pump. That's the
|
||||
documented tradeoff for concurrent consumption; consume at similar
|
||||
rates or use a single consumer if memory matters.
|
||||
|
||||
Lazy-subscribe: `push` is a no-op when no subscriber has registered.
|
||||
Transformers still execute `process()` (so scalar state like
|
||||
`ValuesTransformer._latest` stays current); only the log append is
|
||||
skipped.
|
||||
"""
|
||||
|
||||
def __init__(self, maxlen: int | None = None) -> None:
|
||||
"""Initialize an empty, unbound log.
|
||||
|
||||
Args:
|
||||
maxlen: Accepted for forward compatibility; currently unused.
|
||||
The caller-driven pump bounds memory naturally for
|
||||
single-consumer use.
|
||||
|
||||
Raises:
|
||||
ValueError: If `maxlen` is not a positive integer or `None`.
|
||||
"""
|
||||
if maxlen is not None and maxlen <= 0:
|
||||
raise ValueError("EventLog maxlen must be a positive int or None")
|
||||
self._items: deque[T] = deque()
|
||||
self._maxlen: int | None = maxlen
|
||||
self._closed = False
|
||||
self._error: BaseException | None = None
|
||||
|
||||
# Binding state — None means unbound.
|
||||
self._is_async: bool | None = None
|
||||
|
||||
# Flipped on first __iter__ / __aiter__. Pre-subscription
|
||||
# pushes are silent no-ops.
|
||||
self._subscribed = False
|
||||
|
||||
# Pump wiring set by the run stream after bind.
|
||||
self._request_more: Callable[[], bool] | None = None
|
||||
self._arequest_more: Callable[[], Awaitable[bool]] | None = None
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Binding
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def _bind(self, *, is_async: bool) -> None:
|
||||
"""Bind this log to sync or async mode.
|
||||
|
||||
Called by the StreamMux after transformer registration. Must be
|
||||
called exactly once before any iteration.
|
||||
|
||||
Args:
|
||||
is_async: True to enable async iteration, False for sync.
|
||||
|
||||
Raises:
|
||||
RuntimeError: If the log has already been bound.
|
||||
"""
|
||||
if self._is_async is not None:
|
||||
raise RuntimeError("EventLog is already bound")
|
||||
self._is_async = is_async
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Producer API
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def push(self, item: T) -> None:
|
||||
"""Append an item. No-op when no subscriber is registered.
|
||||
|
||||
Non-blocking in both sync and async — matches v1's
|
||||
`put_nowait` producer shape. Memory is bounded by caller pace
|
||||
via the caller-driven pump.
|
||||
|
||||
Raises:
|
||||
RuntimeError: If the log is closed (and subscribed).
|
||||
"""
|
||||
if not self._subscribed:
|
||||
return
|
||||
if self._closed:
|
||||
raise RuntimeError("Cannot push to a closed EventLog")
|
||||
self._items.append(item)
|
||||
|
||||
def close(self) -> None:
|
||||
"""Mark the log as complete."""
|
||||
self._closed = True
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Mark the log as errored.
|
||||
|
||||
Args:
|
||||
err: The exception to surface to the subscriber.
|
||||
"""
|
||||
self._error = err
|
||||
self._closed = True
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Sync iteration (caller-driven pump)
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def __iter__(self) -> Iterator[T]:
|
||||
"""Subscribe and return a sync cursor. Can be called only once.
|
||||
|
||||
Raises:
|
||||
TypeError: If the log is unbound or bound to async mode.
|
||||
RuntimeError: If the log already has a subscriber.
|
||||
"""
|
||||
if self._is_async is None:
|
||||
raise TypeError(
|
||||
"EventLog has not been bound yet. "
|
||||
"Register the transformer with a StreamMux first."
|
||||
)
|
||||
if self._is_async:
|
||||
raise TypeError(
|
||||
"This EventLog is bound to async mode — use 'async for' instead."
|
||||
)
|
||||
if self._subscribed:
|
||||
raise RuntimeError(
|
||||
"EventLog already has a subscriber; use .tee(n) for fan-out."
|
||||
)
|
||||
self._subscribed = True
|
||||
return self._sync_cursor()
|
||||
|
||||
def _sync_cursor(self) -> Iterator[T]:
|
||||
while True:
|
||||
if self._items:
|
||||
yield self._items.popleft()
|
||||
elif self._closed:
|
||||
if self._error is not None:
|
||||
raise self._error
|
||||
return
|
||||
elif self._request_more is not None:
|
||||
if not self._request_more():
|
||||
if not self._items and not self._closed:
|
||||
return
|
||||
else:
|
||||
return
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Async iteration (caller-driven pump)
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[T]:
|
||||
"""Subscribe and return an async cursor. Can be called only once.
|
||||
|
||||
Raises:
|
||||
TypeError: If the log is unbound or bound to sync mode.
|
||||
RuntimeError: If the log already has a subscriber.
|
||||
"""
|
||||
if self._is_async is None:
|
||||
raise TypeError(
|
||||
"EventLog has not been bound yet. "
|
||||
"Register the transformer with a StreamMux first."
|
||||
)
|
||||
if not self._is_async:
|
||||
raise TypeError("This EventLog is bound to sync mode — use 'for' instead.")
|
||||
if self._subscribed:
|
||||
raise RuntimeError(
|
||||
"EventLog already has a subscriber; use .atee(n) for fan-out."
|
||||
)
|
||||
self._subscribed = True
|
||||
return self._async_cursor()
|
||||
|
||||
async def _async_cursor(self) -> AsyncIterator[T]:
|
||||
while True:
|
||||
if self._items:
|
||||
yield self._items.popleft()
|
||||
elif self._closed:
|
||||
if self._error is not None:
|
||||
raise self._error
|
||||
return
|
||||
elif self._arequest_more is not None:
|
||||
if not await self._arequest_more():
|
||||
if not self._items and not self._closed:
|
||||
return
|
||||
else:
|
||||
return
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Fan-out via tee
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def tee(self, n: int = 2) -> tuple[Iterator[T], ...]:
|
||||
"""Subscribe and return `n` independent sync iterators.
|
||||
|
||||
Each branch has its own buffer; items pulled from the
|
||||
underlying cursor are copied into every branch. Branches are
|
||||
naturally bounded by caller pace since the sync pump is
|
||||
caller-driven.
|
||||
|
||||
Args:
|
||||
n: Number of branches to create. Must be >= 1.
|
||||
|
||||
Returns:
|
||||
A tuple of `n` iterators over the same underlying stream.
|
||||
|
||||
Raises:
|
||||
TypeError: If the log is unbound or bound to async mode.
|
||||
RuntimeError: If the log already has a subscriber.
|
||||
ValueError: If `n` < 1.
|
||||
"""
|
||||
if n < 1:
|
||||
raise ValueError("tee() requires n >= 1")
|
||||
source = self.__iter__()
|
||||
buffers: list[deque[T]] = [deque() for _ in range(n)]
|
||||
exhausted = [False]
|
||||
|
||||
def branch(i: int) -> Iterator[T]:
|
||||
buf = buffers[i]
|
||||
while True:
|
||||
if buf:
|
||||
yield buf.popleft()
|
||||
elif exhausted[0]:
|
||||
return
|
||||
else:
|
||||
try:
|
||||
item = next(source)
|
||||
except StopIteration:
|
||||
exhausted[0] = True
|
||||
return
|
||||
for b in buffers:
|
||||
b.append(item)
|
||||
|
||||
return tuple(branch(i) for i in range(n))
|
||||
|
||||
def atee(self, n: int = 2) -> tuple[AsyncIterator[T], ...]:
|
||||
"""Subscribe and return `n` independent async iterators.
|
||||
|
||||
Caller-driven fan-out: each branch's `__anext__` either pops
|
||||
from its own buffer or, under a shared `asyncio.Lock`, pulls
|
||||
one item from the underlying cursor and distributes it to
|
||||
every branch's buffer.
|
||||
|
||||
Args:
|
||||
n: Number of branches to create. Must be >= 1.
|
||||
|
||||
Returns:
|
||||
A tuple of `n` async iterators over the same underlying
|
||||
stream.
|
||||
|
||||
Raises:
|
||||
TypeError: If the log is unbound or bound to sync mode.
|
||||
RuntimeError: If the log already has a subscriber.
|
||||
ValueError: If `n` < 1.
|
||||
"""
|
||||
if n < 1:
|
||||
raise ValueError("atee() requires n >= 1")
|
||||
source = self.__aiter__()
|
||||
buffers: list[deque[T]] = [deque() for _ in range(n)]
|
||||
exhausted = [False]
|
||||
error: list[BaseException | None] = [None]
|
||||
lock = asyncio.Lock()
|
||||
|
||||
async def branch(i: int) -> AsyncIterator[T]:
|
||||
buf = buffers[i]
|
||||
while True:
|
||||
if buf:
|
||||
yield buf.popleft()
|
||||
continue
|
||||
if exhausted[0]:
|
||||
if error[0] is not None:
|
||||
raise error[0]
|
||||
return
|
||||
async with lock:
|
||||
if buf or exhausted[0]:
|
||||
continue
|
||||
try:
|
||||
item = await source.__anext__()
|
||||
except StopAsyncIteration:
|
||||
exhausted[0] = True
|
||||
continue
|
||||
except Exception as e:
|
||||
error[0] = e
|
||||
exhausted[0] = True
|
||||
continue
|
||||
for b in buffers:
|
||||
b.append(item)
|
||||
|
||||
return tuple(branch(i) for i in range(n))
|
||||
@@ -0,0 +1,497 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import time
|
||||
from collections.abc import Awaitable, Callable
|
||||
from typing import Any
|
||||
|
||||
from langgraph.stream._event_log import EventLog
|
||||
from langgraph.stream._types import (
|
||||
ProtocolEvent,
|
||||
StreamTransformer,
|
||||
transformer_requires_async,
|
||||
)
|
||||
from langgraph.stream.stream_channel import StreamChannel
|
||||
|
||||
TransformerFactory = Callable[["tuple[str, ...]"], StreamTransformer]
|
||||
"""Factory that builds a scoped transformer for a mux.
|
||||
|
||||
Called once per `StreamMux` (root or mini-mux) with the mux's scope
|
||||
— typically a subgraph's namespace or `()` for the root. Standard
|
||||
transformer classes (`ValuesTransformer`, `MessagesTransformer`,
|
||||
`SubgraphTransformer`) accept a single positional scope argument, so
|
||||
the class itself is a valid factory. User transformers can close over
|
||||
their config: `lambda scope: MyTransformer(scope, foo=...)`.
|
||||
"""
|
||||
|
||||
|
||||
class StreamMux:
|
||||
"""Central event dispatcher for the streaming infrastructure.
|
||||
|
||||
Owns the main event log and routes events through a transformer
|
||||
pipeline. StreamChannels discovered in transformer projections are
|
||||
auto-wired so that every `push()` also injects a `ProtocolEvent`
|
||||
into the main log.
|
||||
|
||||
Pass `is_async=True` when the mux will be consumed via async
|
||||
iteration (`handler.astream()`). All EventLog and StreamChannel
|
||||
instances discovered during registration are automatically bound
|
||||
to the matching mode.
|
||||
|
||||
Attributes:
|
||||
extensions: Merged projection dict across all registered
|
||||
transformers. Treat as read-only — mutations won't be
|
||||
reflected back in individual transformers' state.
|
||||
native_keys: Projection keys contributed by transformers with
|
||||
`_native = True`.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
transformers: list[StreamTransformer] | None = None,
|
||||
*,
|
||||
is_async: bool = False,
|
||||
factories: list[TransformerFactory] | None = None,
|
||||
scope: tuple[str, ...] = (),
|
||||
) -> None:
|
||||
"""Initialize the mux and register transformers in order.
|
||||
|
||||
Callers pass either `transformers` (pre-built instances) or
|
||||
`factories` (callables producing fresh instances per mux). A
|
||||
factory list is preferred — mini-muxes built by `make_child()`
|
||||
inherit the factory list, so transformers propagate naturally
|
||||
into every subgraph's scope. `transformers` is kept for
|
||||
back-compat tests that exercise the mux directly.
|
||||
|
||||
Each transformer's `init()` is called once during registration,
|
||||
projections are merged into `extensions`, `_native` keys are
|
||||
recorded in `native_keys`, and any EventLog / StreamChannel
|
||||
instances are bound and wired.
|
||||
|
||||
Args:
|
||||
transformers: Already-built transformer instances. Mutually
|
||||
exclusive with `factories`.
|
||||
is_async: True for async dispatch (`apush` / `aclose` /
|
||||
`afail`), False for the sync path.
|
||||
factories: Zero-or-one-argument callables producing
|
||||
transformers. Called with this mux's `scope`.
|
||||
scope: The namespace the mux operates within. The root mux
|
||||
is `()`; mini-muxes for subgraphs use the subgraph's
|
||||
namespace tuple.
|
||||
|
||||
Raises:
|
||||
RuntimeError: If any transformer requires an async run but
|
||||
the mux is in sync mode.
|
||||
TypeError: If a transformer's `init()` doesn't return a dict.
|
||||
ValueError: If transformers' projection keys collide, or if
|
||||
both `transformers` and `factories` are supplied.
|
||||
"""
|
||||
if transformers is not None and factories is not None:
|
||||
raise ValueError("Pass either `transformers` or `factories`, not both.")
|
||||
|
||||
self._is_async = is_async
|
||||
self._factories: list[TransformerFactory] = list(factories or ())
|
||||
self.scope: tuple[str, ...] = scope
|
||||
self._pump_fn: Callable[[], bool] | None = None
|
||||
self._apump_fn: Callable[[], Awaitable[bool]] | None = None
|
||||
|
||||
self._events: EventLog[ProtocolEvent] = EventLog()
|
||||
self._events._bind(is_async=is_async)
|
||||
self._transformers: list[StreamTransformer] = []
|
||||
self._channels: list[StreamChannel[Any]] = []
|
||||
self._logs: list[EventLog[Any]] = []
|
||||
self._seq = 0
|
||||
|
||||
self.extensions: dict[str, Any] = {}
|
||||
self.native_keys: set[str] = set()
|
||||
self._projection_owners: dict[str, str] = {}
|
||||
self._transformer_by_key: dict[str, StreamTransformer] = {}
|
||||
|
||||
if factories is not None:
|
||||
for factory in factories:
|
||||
self._register(factory(scope))
|
||||
else:
|
||||
for transformer in transformers or ():
|
||||
self._register(transformer)
|
||||
|
||||
def make_child(self, scope: tuple[str, ...]) -> StreamMux:
|
||||
"""Build a mini-mux with the same factories scoped to `scope`.
|
||||
|
||||
Used by `SubgraphTransformer` to attach a fresh transformer
|
||||
pipeline to each discovered subgraph handle. The child mux
|
||||
inherits the current pump binding (so cursors on its projection
|
||||
logs drive the root pump) and carries the same factory list
|
||||
forward to any grandchild subgraphs.
|
||||
|
||||
Raises:
|
||||
RuntimeError: If the mux was not built from a factory list
|
||||
(i.e., constructed with `transformers=`). Mini-muxes
|
||||
require factories so each scope gets its own fresh
|
||||
transformer instances.
|
||||
"""
|
||||
if not self._factories:
|
||||
raise RuntimeError(
|
||||
"StreamMux.make_child requires the mux to be constructed "
|
||||
"with factories; pre-built transformers can't be cloned "
|
||||
"to a new scope."
|
||||
)
|
||||
child = StreamMux(
|
||||
factories=self._factories,
|
||||
is_async=self._is_async,
|
||||
scope=scope,
|
||||
)
|
||||
if self._pump_fn is not None:
|
||||
child.bind_pump(self._pump_fn)
|
||||
if self._apump_fn is not None:
|
||||
child.bind_apump(self._apump_fn)
|
||||
return child
|
||||
|
||||
def bind_pump(self, fn: Callable[[], bool]) -> None:
|
||||
"""Wire the sync pull callback onto every EventLog in the mux.
|
||||
|
||||
Also propagates to transformers that expose `_bind_pump` so
|
||||
nested handles (e.g., `ChatModelStream` instances produced by
|
||||
`MessagesTransformer`) can drive the graph pump from their
|
||||
projection cursors.
|
||||
"""
|
||||
self._pump_fn = fn
|
||||
self._events._request_more = fn
|
||||
for value in self.extensions.values():
|
||||
if isinstance(value, EventLog):
|
||||
value._request_more = fn
|
||||
elif isinstance(value, StreamChannel):
|
||||
value._log._request_more = fn
|
||||
for transformer in self._transformers:
|
||||
bind = getattr(transformer, "_bind_pump", None)
|
||||
if bind is not None:
|
||||
bind(fn)
|
||||
|
||||
def bind_apump(self, fn: Callable[[], Awaitable[bool]]) -> None:
|
||||
"""Async counterpart to `bind_pump`."""
|
||||
self._apump_fn = fn
|
||||
self._events._arequest_more = fn
|
||||
for value in self.extensions.values():
|
||||
if isinstance(value, EventLog):
|
||||
value._arequest_more = fn
|
||||
elif isinstance(value, StreamChannel):
|
||||
value._log._arequest_more = fn
|
||||
for transformer in self._transformers:
|
||||
abind = getattr(transformer, "_bind_apump", None)
|
||||
if abind is not None:
|
||||
abind(fn)
|
||||
|
||||
def _register(self, transformer: StreamTransformer) -> None:
|
||||
"""Register a single transformer.
|
||||
|
||||
Calls `transformer.init()`, stores the transformer for event
|
||||
processing, binds any EventLog or StreamChannel instances in
|
||||
the projection, and merges the projection into `extensions`.
|
||||
"""
|
||||
if transformer_requires_async(transformer) and not self._is_async:
|
||||
raise RuntimeError(
|
||||
f"{type(transformer).__name__} requires an async run — "
|
||||
"it overrides aprocess/afinalize/afail or sets "
|
||||
"requires_async=True. Use astream(), not stream()."
|
||||
)
|
||||
projection = transformer.init()
|
||||
if not isinstance(projection, dict):
|
||||
raise TypeError(
|
||||
f"StreamTransformer.init() must return a dict, "
|
||||
f"got {type(projection).__name__}"
|
||||
)
|
||||
conflicts = set(projection) & set(self.extensions)
|
||||
if conflicts:
|
||||
attributions = ", ".join(
|
||||
f"{key!r} (owned by {self._projection_owners[key]})"
|
||||
for key in sorted(conflicts)
|
||||
)
|
||||
raise ValueError(
|
||||
f"Transformer {type(transformer).__name__} returned "
|
||||
f"projection keys that conflict with already-registered "
|
||||
f"keys: {attributions}"
|
||||
)
|
||||
self._transformers.append(transformer)
|
||||
self._bind_and_wire(projection)
|
||||
self.extensions.update(projection)
|
||||
owner_name = type(transformer).__name__
|
||||
for key in projection:
|
||||
self._projection_owners[key] = owner_name
|
||||
self._transformer_by_key[key] = transformer
|
||||
if getattr(transformer, "_native", False):
|
||||
self.native_keys.update(projection.keys())
|
||||
on_register = getattr(transformer, "_on_register", None)
|
||||
if on_register is not None:
|
||||
on_register(self)
|
||||
|
||||
def transformer_by_key(self, key: str) -> StreamTransformer | None:
|
||||
"""Return the transformer that owns the projection at `key`, if any."""
|
||||
return self._transformer_by_key.get(key)
|
||||
|
||||
def emit(self, event: ProtocolEvent) -> None:
|
||||
"""Append a protocol event directly to the main log.
|
||||
|
||||
Built-in transformers use this for protocol repair events that
|
||||
must appear before the source event they are processing. Direct
|
||||
emission intentionally bypasses the transformer pipeline, but
|
||||
still lets this mux remain the only local sequencing authority.
|
||||
"""
|
||||
self._seq += 1
|
||||
event["seq"] = self._seq
|
||||
self._events.push(event)
|
||||
|
||||
def push(self, event: ProtocolEvent) -> None:
|
||||
"""Route an event through all transformers, then append to the main log.
|
||||
|
||||
Each transformer's `process()` is called in registration order
|
||||
— except when the transformer has `scope_exact = True` (the
|
||||
default) and the event's namespace differs from the mux's
|
||||
`scope`, in which case the transformer is skipped. Transformers
|
||||
that need to see cross-scope events opt out by setting
|
||||
`scope_exact = False` (e.g. `SubgraphTransformer`).
|
||||
|
||||
If any transformer returns False, the event is suppressed from
|
||||
the main log, but transformers that already saw it keep their
|
||||
side effects.
|
||||
|
||||
Seq is assigned right before an event enters the main log, not
|
||||
before the transformer pipeline runs. This ensures that events
|
||||
auto-forwarded from StreamChannels during `process()` get
|
||||
earlier seq numbers than the original event, preserving
|
||||
monotonic ordering in the log.
|
||||
|
||||
Args:
|
||||
event: The protocol event to dispatch.
|
||||
"""
|
||||
ns = tuple(event["params"]["namespace"])
|
||||
in_scope = ns == self.scope
|
||||
keep = True
|
||||
for transformer in self._transformers:
|
||||
if transformer.scope_exact and not in_scope:
|
||||
continue
|
||||
if not transformer.process(event):
|
||||
keep = False
|
||||
if keep:
|
||||
self._seq += 1
|
||||
event["seq"] = self._seq
|
||||
self._events.push(event)
|
||||
|
||||
def close(self) -> None:
|
||||
"""Finalize all transformers, close all projections and the main log.
|
||||
|
||||
EventLogs and StreamChannels discovered in transformer
|
||||
projections are auto-closed after `finalize()` runs —
|
||||
transformers don't need to close them manually. If any
|
||||
transformer's `finalize()` raises, the remaining transformers,
|
||||
projections, and the main log are still closed; the first error
|
||||
is re-raised after cleanup completes.
|
||||
|
||||
Raises:
|
||||
BaseException: The first error raised by a transformer's
|
||||
`finalize()`, re-raised after cleanup finishes.
|
||||
"""
|
||||
first_error: BaseException | None = None
|
||||
for transformer in self._transformers:
|
||||
try:
|
||||
transformer.finalize()
|
||||
except BaseException as e:
|
||||
if first_error is None:
|
||||
first_error = e
|
||||
for log in self._logs:
|
||||
if not log._closed:
|
||||
log.close()
|
||||
for ch in self._channels:
|
||||
if not ch._log._closed:
|
||||
ch._close()
|
||||
self._events.close()
|
||||
if first_error is not None:
|
||||
raise first_error
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Fail all transformers, projections, and the main log.
|
||||
|
||||
EventLogs and StreamChannels discovered in transformer
|
||||
projections are auto-failed — transformers don't need to fail
|
||||
them manually. If any transformer's `fail()` raises, the
|
||||
remaining transformers, projections, and the main log are still
|
||||
failed.
|
||||
|
||||
Args:
|
||||
err: The exception that ended the run.
|
||||
"""
|
||||
for transformer in self._transformers:
|
||||
try:
|
||||
transformer.fail(err)
|
||||
except BaseException:
|
||||
pass
|
||||
for log in self._logs:
|
||||
if not log._closed:
|
||||
log.fail(err)
|
||||
for ch in self._channels:
|
||||
if not ch._log._closed:
|
||||
ch._fail(err)
|
||||
self._events.fail(err)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Async dispatch
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
async def apush(self, event: ProtocolEvent) -> None:
|
||||
"""Dispatch an event on the async lane.
|
||||
|
||||
Awaits each transformer's `aprocess` in registration order
|
||||
before appending to the main log — except when the transformer
|
||||
has `scope_exact = True` and the event's namespace differs from
|
||||
`self.scope`, in which case it is skipped. A slow `aprocess`
|
||||
serializes the pipeline by design — that's the guarantee that
|
||||
lets a later transformer (or a synchronous consumer) see the
|
||||
result of the async work. For decoupled work, use `schedule()`
|
||||
from inside `process` / `aprocess` instead.
|
||||
|
||||
The main log append is a non-blocking `push` — matching v1's
|
||||
`put_nowait` shape. Memory is bounded by caller pace via the
|
||||
caller-driven pump; see `EventLog` for the full tradeoff story.
|
||||
|
||||
Args:
|
||||
event: The protocol event to dispatch.
|
||||
"""
|
||||
ns = tuple(event["params"]["namespace"])
|
||||
in_scope = ns == self.scope
|
||||
keep = True
|
||||
for transformer in self._transformers:
|
||||
if transformer.scope_exact and not in_scope:
|
||||
continue
|
||||
if not await transformer.aprocess(event):
|
||||
keep = False
|
||||
if keep:
|
||||
self._seq += 1
|
||||
event["seq"] = self._seq
|
||||
self._events.push(event)
|
||||
|
||||
async def aclose(self) -> None:
|
||||
"""Finalize on the async lane.
|
||||
|
||||
Awaits every task started via `StreamTransformer.schedule()`
|
||||
across all transformers, then calls `afinalize()` on each,
|
||||
then auto-closes logs, channels, and the main event log.
|
||||
|
||||
If any scheduled task raised under `on_error="raise"`, or any
|
||||
transformer's `afinalize` raises, the exception propagates.
|
||||
The caller (the pump) handles it by routing into `afail`.
|
||||
|
||||
Raises:
|
||||
BaseException: The first scheduled-task or `afinalize`
|
||||
error, re-raised after cleanup.
|
||||
"""
|
||||
pending = self._collect_scheduled_tasks()
|
||||
if pending:
|
||||
results = await asyncio.gather(*pending, return_exceptions=True)
|
||||
first_err = next(
|
||||
(
|
||||
r
|
||||
for r in results
|
||||
if isinstance(r, BaseException)
|
||||
and not isinstance(r, asyncio.CancelledError)
|
||||
),
|
||||
None,
|
||||
)
|
||||
if first_err is not None:
|
||||
raise first_err
|
||||
|
||||
first_error: BaseException | None = None
|
||||
for transformer in self._transformers:
|
||||
try:
|
||||
await transformer.afinalize()
|
||||
except BaseException as e:
|
||||
if first_error is None:
|
||||
first_error = e
|
||||
for log in self._logs:
|
||||
if not log._closed:
|
||||
log.close()
|
||||
for ch in self._channels:
|
||||
if not ch._log._closed:
|
||||
ch._close()
|
||||
self._events.close()
|
||||
if first_error is not None:
|
||||
raise first_error
|
||||
|
||||
async def afail(self, err: BaseException) -> None:
|
||||
"""Fail on the async lane.
|
||||
|
||||
Cancels every scheduled task across all transformers, awaits
|
||||
them to completion, then runs each transformer's `afail` hook
|
||||
and auto-fails logs, channels, and the main event log.
|
||||
|
||||
Args:
|
||||
err: The exception that ended the run.
|
||||
"""
|
||||
pending = self._collect_scheduled_tasks()
|
||||
for task in pending:
|
||||
task.cancel()
|
||||
if pending:
|
||||
await asyncio.gather(*pending, return_exceptions=True)
|
||||
|
||||
for transformer in self._transformers:
|
||||
try:
|
||||
await transformer.afail(err)
|
||||
except BaseException:
|
||||
pass
|
||||
for log in self._logs:
|
||||
if not log._closed:
|
||||
log.fail(err)
|
||||
for ch in self._channels:
|
||||
if not ch._log._closed:
|
||||
ch._fail(err)
|
||||
if not self._events._closed:
|
||||
self._events.fail(err)
|
||||
|
||||
def _collect_scheduled_tasks(self) -> list[asyncio.Task[Any]]:
|
||||
"""Return a snapshot of in-flight tasks scheduled via transformers."""
|
||||
return [
|
||||
task
|
||||
for transformer in self._transformers
|
||||
for task in getattr(transformer, "_stream_scheduled_tasks", ())
|
||||
if not task.done()
|
||||
]
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Binding and StreamChannel auto-wiring
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def _bind_and_wire(self, projection: dict[str, Any]) -> None:
|
||||
"""Bind and wire EventLog / StreamChannel instances in a projection."""
|
||||
for value in projection.values():
|
||||
if isinstance(value, StreamChannel):
|
||||
value._bind(is_async=self._is_async)
|
||||
self._channels.append(value)
|
||||
channel_name = value.name
|
||||
|
||||
def _make_forward(name: str) -> Callable[[Any], None]:
|
||||
def _forward(item: Any) -> None:
|
||||
self._forward(name, item)
|
||||
|
||||
return _forward
|
||||
|
||||
value._wire(_make_forward(channel_name))
|
||||
elif isinstance(value, EventLog):
|
||||
value._bind(is_async=self._is_async)
|
||||
self._logs.append(value)
|
||||
|
||||
def _forward(self, channel_name: str, item: Any) -> None:
|
||||
"""Inject a ProtocolEvent for a StreamChannel push.
|
||||
|
||||
Forwarded events bypass the transformer pipeline to avoid
|
||||
infinite recursion (a transformer that pushes to a channel
|
||||
during `process()` would re-trigger itself). These events are
|
||||
visible in the main event log but are not passed through
|
||||
transformers' `process()` methods.
|
||||
"""
|
||||
event: ProtocolEvent = {
|
||||
"type": "event",
|
||||
"method": f"custom:{channel_name}",
|
||||
"params": {
|
||||
"namespace": [],
|
||||
"timestamp": int(time.time() * 1000),
|
||||
"data": item,
|
||||
},
|
||||
}
|
||||
self.emit(event)
|
||||
@@ -0,0 +1,312 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import logging
|
||||
from abc import ABC, abstractmethod
|
||||
from collections.abc import Coroutine
|
||||
from typing import Any, ClassVar, Literal
|
||||
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
_logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class _ProtocolEventParams(TypedDict):
|
||||
"""Parameters for a protocol event.
|
||||
|
||||
`timestamp` is wall-clock milliseconds since the epoch and can go
|
||||
backwards across NTP adjustments — use `ProtocolEvent.seq` for
|
||||
ordering.
|
||||
"""
|
||||
|
||||
namespace: list[str]
|
||||
timestamp: int
|
||||
data: Any
|
||||
node: NotRequired[str]
|
||||
run_id: NotRequired[str]
|
||||
interrupts: NotRequired[tuple[Any, ...]]
|
||||
|
||||
|
||||
class ProtocolEvent(TypedDict):
|
||||
"""A protocol event emitted by the streaming infrastructure.
|
||||
|
||||
Wraps a raw stream part (values, messages, custom, etc.) in a uniform
|
||||
envelope with a monotonic sequence number assigned by the StreamMux.
|
||||
Consumers that need a total order across events should use `seq`, not
|
||||
`params.timestamp` (which is wall-clock and not monotonic).
|
||||
"""
|
||||
|
||||
type: Literal["event"]
|
||||
event_id: NotRequired[str]
|
||||
seq: NotRequired[int]
|
||||
method: str # StreamMode value: "values", "messages", "custom", etc.
|
||||
params: _ProtocolEventParams
|
||||
|
||||
|
||||
class StreamTransformer(ABC):
|
||||
"""Extension point for custom stream projections.
|
||||
|
||||
Transformers observe protocol events flowing through the StreamMux and
|
||||
build typed derived projections (EventLogs, StreamChannels, promises,
|
||||
etc.).
|
||||
|
||||
Set `_native = True` on a transformer to have its projection keys
|
||||
exposed as direct attributes on the run stream (in addition to
|
||||
appearing in `run.extensions`).
|
||||
|
||||
Subclasses must implement `init` and override at least one of
|
||||
`process` / `aprocess`. The `finalize` / `afinalize` and `fail` /
|
||||
`afail` hooks are optional — the default implementations are no-ops.
|
||||
EventLog and StreamChannel instances in the projection dict are
|
||||
auto-closed / auto-failed by the mux, so most transformers don't
|
||||
need `finalize` or `fail` at all.
|
||||
|
||||
Transformers that need async work pick the async lane by:
|
||||
|
||||
1. Overriding `aprocess` (and optionally `afinalize` / `afail`), or
|
||||
2. Calling `self.schedule(coro)` from inside a sync `process`, or
|
||||
3. Setting `requires_async = True` explicitly.
|
||||
|
||||
The mux detects these cases at registration and raises if they're
|
||||
used under sync `stream()` — they only work under `astream()`.
|
||||
|
||||
Use `aprocess` when the pump must wait for async work before the
|
||||
next transformer sees the event (e.g. PII redaction that mutates
|
||||
`event` in place). Use `schedule()` for decoupled async work whose
|
||||
result lands on an independent projection (e.g. async moderation
|
||||
scoring, cost lookup, external tracing).
|
||||
|
||||
Attributes:
|
||||
scope: Namespace the transformer operates within — `()` for the
|
||||
root mux, a subgraph's namespace tuple inside a mini-mux.
|
||||
Set at construction from the mux's scope (each factory is
|
||||
called as `factory(scope)`). Transformers that only care
|
||||
about events at their own namespace compare against
|
||||
`self.scope`; subgraph-aware transformers can treat it as
|
||||
a parent path.
|
||||
scope_exact: If True (the default), the mux only calls
|
||||
`process` / `aprocess` for events whose namespace equals
|
||||
`self.scope` — user transformers get scope-scoped events
|
||||
for free with no boilerplate. Set False for transformers
|
||||
that need to see events across scopes (e.g.
|
||||
`SubgraphTransformer` forwards deeper events into child
|
||||
mini-muxes).
|
||||
requires_async: Explicit opt-in for transformers that need a
|
||||
running event loop but don't override any async method (for
|
||||
example, transformers that call `schedule()` from a sync
|
||||
`process`). The mux also auto-detects the async lane when
|
||||
`aprocess`, `afinalize`, or `afail` is overridden.
|
||||
required_stream_modes: Stream modes the graph must emit for
|
||||
this transformer to have anything to process. Computed as
|
||||
the union across all registered transformers to determine
|
||||
which modes a `GraphStreamer` run requests from the
|
||||
graph. Empty tuple means the transformer consumes only
|
||||
synthetic events (or is purely passive).
|
||||
"""
|
||||
|
||||
requires_async: ClassVar[bool] = False
|
||||
scope_exact: ClassVar[bool] = True
|
||||
required_stream_modes: ClassVar[tuple[str, ...]] = ()
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
"""Initialize the transformer with its mux's scope.
|
||||
|
||||
Args:
|
||||
scope: The namespace tuple the owning mux is scoped to.
|
||||
`()` for the root, the subgraph's namespace inside a
|
||||
mini-mux. Factories receive this at construction time
|
||||
(`factory(scope)` in `StreamMux`).
|
||||
"""
|
||||
self.scope: tuple[str, ...] = scope
|
||||
|
||||
@abstractmethod
|
||||
def init(self) -> dict[str, Any]:
|
||||
"""Return the projection dict.
|
||||
|
||||
Keys become entries in `run.extensions`. If the transformer has
|
||||
`_native = True`, keys are also set as direct attributes on the
|
||||
run stream.
|
||||
|
||||
StreamChannel instances in the return value are automatically
|
||||
wired by the StreamMux for protocol event auto-forwarding.
|
||||
"""
|
||||
...
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
"""Handle an event on the sync lane.
|
||||
|
||||
Called for every event before it is appended to the main event
|
||||
log. Subclasses must override either `process` or `aprocess`.
|
||||
The default raises so a missing override fails loudly rather
|
||||
than silently passing every event through.
|
||||
|
||||
Args:
|
||||
event: The protocol event to observe.
|
||||
|
||||
Returns:
|
||||
True to keep the event in the main log, False to suppress it.
|
||||
"""
|
||||
raise NotImplementedError(
|
||||
f"{type(self).__name__} must override process() or aprocess()"
|
||||
)
|
||||
|
||||
async def aprocess(self, event: ProtocolEvent) -> bool:
|
||||
"""Handle an event on the async lane.
|
||||
|
||||
The mux awaits this before dispatching to the next transformer,
|
||||
so a slow `aprocess` serializes the pipeline. Use it only when
|
||||
a later transformer — or a consumer reading the event
|
||||
synchronously — must see the result of the async work (e.g.
|
||||
PII redaction that mutates `event` in place).
|
||||
|
||||
The default delegates to `process`, so purely-sync transformers
|
||||
run unchanged under `astream()`.
|
||||
|
||||
Args:
|
||||
event: The protocol event to observe.
|
||||
|
||||
Returns:
|
||||
True to keep the event in the main log, False to suppress it.
|
||||
"""
|
||||
return self.process(event)
|
||||
|
||||
def finalize(self) -> None:
|
||||
"""Called when the run ends normally (sync lane).
|
||||
|
||||
Override to close EventLogs, resolve promises, or perform other
|
||||
teardown. StreamChannel instances are auto-closed by the mux.
|
||||
"""
|
||||
|
||||
async def afinalize(self) -> None:
|
||||
"""Called when the run ends normally (async lane).
|
||||
|
||||
By the time this runs, the mux has already awaited every task
|
||||
started via `schedule()`, so EventLogs can be closed here
|
||||
without a last-task-wins race.
|
||||
|
||||
The default delegates to `finalize`.
|
||||
"""
|
||||
self.finalize()
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Called when the run ends with an error (sync lane).
|
||||
|
||||
Override to fail EventLogs, reject promises, or perform other
|
||||
teardown. StreamChannel instances are auto-failed by the mux.
|
||||
|
||||
Args:
|
||||
err: The exception that ended the run.
|
||||
"""
|
||||
|
||||
async def afail(self, err: BaseException) -> None:
|
||||
"""Called when the run ends with an error (async lane).
|
||||
|
||||
The mux cancels and awaits every task started via `schedule()`
|
||||
before calling this, so cleanup doesn't race with in-flight work.
|
||||
|
||||
The default delegates to `fail`.
|
||||
|
||||
Args:
|
||||
err: The exception that ended the run.
|
||||
"""
|
||||
self.fail(err)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Scheduled async work
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def schedule(
|
||||
self,
|
||||
coro: Coroutine[Any, Any, Any],
|
||||
*,
|
||||
on_error: Literal["log", "raise"] = "log",
|
||||
) -> asyncio.Task[Any]:
|
||||
"""Schedule a coroutine tied to this transformer's lifecycle.
|
||||
|
||||
The mux holds the task reference, awaits all scheduled tasks
|
||||
during `aclose()` before calling `afinalize()`, and cancels
|
||||
them on `afail()`. Authors don't need to track tasks or
|
||||
implement the last-task-closes-the-log dance.
|
||||
|
||||
Requires a running event loop — call only under `astream()`.
|
||||
Set `requires_async = True` on the class so registration under
|
||||
sync `stream()` fails fast with a clear message.
|
||||
|
||||
Args:
|
||||
coro: The coroutine to run. Its lifecycle is owned by the
|
||||
mux from this point on.
|
||||
on_error: `"log"` (default) catches and logs any exception
|
||||
the coroutine raises, so a single failure doesn't tear
|
||||
down the run. `"raise"` lets the exception propagate
|
||||
when the mux joins pendings, converting the close path
|
||||
into the fail path.
|
||||
|
||||
Returns:
|
||||
The asyncio Task. Authors rarely need to await it directly
|
||||
— consumers read results from whatever projection the
|
||||
coroutine pushes into.
|
||||
|
||||
Raises:
|
||||
RuntimeError: If called without a running event loop (i.e.
|
||||
under sync `stream()` rather than `astream()`).
|
||||
"""
|
||||
try:
|
||||
asyncio.get_running_loop()
|
||||
except RuntimeError:
|
||||
raise RuntimeError(
|
||||
f"{type(self).__name__}.schedule() requires a running "
|
||||
"event loop; this transformer must run under astream(), "
|
||||
"not stream(). Set requires_async=True on the class so "
|
||||
"this fails at registration rather than at first event."
|
||||
) from None
|
||||
|
||||
wrapped = self._wrap_scheduled(coro) if on_error == "log" else coro
|
||||
task = asyncio.create_task(wrapped)
|
||||
tasks = self._scheduled_task_set()
|
||||
tasks.add(task)
|
||||
task.add_done_callback(tasks.discard)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
async def _wrap_scheduled(coro: Coroutine[Any, Any, Any]) -> Any:
|
||||
try:
|
||||
return await coro
|
||||
except asyncio.CancelledError:
|
||||
raise
|
||||
except BaseException:
|
||||
_logger.exception("Scheduled StreamTransformer task failed")
|
||||
|
||||
def _scheduled_task_set(self) -> set[asyncio.Task[Any]]:
|
||||
"""Return the lazily-allocated task set.
|
||||
|
||||
Avoids requiring subclasses to call `super().__init__()`.
|
||||
"""
|
||||
tasks: set[asyncio.Task[Any]] | None = getattr(
|
||||
self, "_stream_scheduled_tasks", None
|
||||
)
|
||||
if tasks is None:
|
||||
tasks = set()
|
||||
self._stream_scheduled_tasks = tasks
|
||||
return tasks
|
||||
|
||||
|
||||
def transformer_requires_async(transformer: StreamTransformer) -> bool:
|
||||
"""Return True if the transformer needs a running event loop.
|
||||
|
||||
A transformer requires async if it explicitly opts in
|
||||
(`requires_async = True`) or overrides any of the async-lane methods
|
||||
(`aprocess`, `afinalize`, `afail`).
|
||||
|
||||
Args:
|
||||
transformer: The transformer to inspect.
|
||||
|
||||
Returns:
|
||||
True if the transformer cannot run under sync `stream()`.
|
||||
"""
|
||||
if transformer.requires_async:
|
||||
return True
|
||||
cls = type(transformer)
|
||||
for name in ("aprocess", "afinalize", "afail"):
|
||||
if getattr(cls, name) is not getattr(StreamTransformer, name):
|
||||
return True
|
||||
return False
|
||||
@@ -0,0 +1,412 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
from collections.abc import AsyncIterator, Awaitable, Callable, Iterator, Mapping
|
||||
from types import MappingProxyType, TracebackType
|
||||
from typing import TYPE_CHECKING, Any
|
||||
|
||||
from langgraph.stream._convert import convert_to_protocol_event
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from langgraph.stream._types import ProtocolEvent
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langgraph.stream.transformers import ValuesTransformer
|
||||
|
||||
|
||||
def _drive_until_done(pump: Callable[[], bool]) -> None:
|
||||
"""Call the sync pump until it returns False."""
|
||||
while pump():
|
||||
pass
|
||||
|
||||
|
||||
async def _adrive_until_done(pump: Callable[[], Awaitable[bool]]) -> None:
|
||||
"""Call the async pump until it returns False."""
|
||||
while await pump():
|
||||
pass
|
||||
|
||||
|
||||
class BaseRunStream:
|
||||
"""Shared shape for any object that wraps a `StreamMux`.
|
||||
|
||||
Root (`GraphRunStream` / `AsyncGraphRunStream`) and scoped
|
||||
(`SubgraphRunStream`) streams both compose a `StreamMux`. The mux
|
||||
owns the projections — `values`, `messages`, `subgraphs`, and any
|
||||
user-registered keys — all exposed via `extensions`. Native
|
||||
projections (`_native = True`) are also bound as direct attributes
|
||||
(`run.values`, `run.messages`, …) for ergonomics.
|
||||
|
||||
Raw iteration (`for event in run` / `async for event in run`) and
|
||||
the `interleave(...)` helper both live here so every subclass
|
||||
behaves consistently. Subclasses only add pump ownership, scope
|
||||
metadata, or sync/async flavor.
|
||||
"""
|
||||
|
||||
def __init__(self, mux: StreamMux) -> None:
|
||||
self._mux = mux
|
||||
self.extensions: Mapping[str, Any] = MappingProxyType(mux.extensions)
|
||||
for key in mux.native_keys:
|
||||
setattr(self, key, mux.extensions[key])
|
||||
|
||||
@property
|
||||
def _values_transformer(self) -> ValuesTransformer:
|
||||
"""Look up the `ValuesTransformer` backing `output` / `interrupted`.
|
||||
|
||||
Resolved lazily off the mux so subclasses don't have to thread
|
||||
it through their constructors. Raises if no `ValuesTransformer`
|
||||
is registered — `output` / `interrupted` / `interrupts` have
|
||||
nothing to return in that case, so failing loudly is better
|
||||
than returning `None` silently.
|
||||
"""
|
||||
from langgraph.stream.transformers import ValuesTransformer
|
||||
|
||||
vt = self._mux.transformer_by_key("values")
|
||||
if not isinstance(vt, ValuesTransformer):
|
||||
raise RuntimeError(
|
||||
"No ValuesTransformer is registered on this mux — "
|
||||
"`output`, `interrupted`, and `interrupts` require one. "
|
||||
"Add it to your GraphStreamer subclass's "
|
||||
"`builtin_factories` or pass it via `transformers=`."
|
||||
)
|
||||
return vt
|
||||
|
||||
def __iter__(self) -> Iterator[ProtocolEvent]:
|
||||
"""Sync iteration of protocol events on this mux's main log.
|
||||
|
||||
Raises at the EventLog level if the mux is async-bound.
|
||||
"""
|
||||
return iter(self._mux._events)
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[ProtocolEvent]:
|
||||
"""Async iteration of protocol events on this mux's main log.
|
||||
|
||||
Raises at the EventLog level if the mux is sync-bound.
|
||||
"""
|
||||
return self._mux._events.__aiter__()
|
||||
|
||||
def interleave(self, *names: str) -> Iterator[tuple[str, Any]]:
|
||||
"""Iterate multiple projections round-robin, yielding ``(name, item)``.
|
||||
|
||||
Each turn advances one projection's cursor; when a cursor's
|
||||
buffer is empty, pulling from it drives the pump once, which
|
||||
fans out to every subscribed projection log. Projections whose
|
||||
items aren't consumed on this turn sit in their own buffers
|
||||
only until the next turn reaches them, bounding memory by the
|
||||
skew between projection rates rather than letting any single
|
||||
log grow to the full run length.
|
||||
|
||||
Projections are exhausted independently; a projection that
|
||||
finishes early drops out of the rotation while others
|
||||
continue. The overall iterator ends once all named projections
|
||||
are done.
|
||||
|
||||
Args:
|
||||
*names: Projection keys to interleave. Must match keys in
|
||||
`extensions`.
|
||||
|
||||
Yields:
|
||||
`(name, item)` tuples in round-robin order across the named
|
||||
projections.
|
||||
|
||||
Raises:
|
||||
KeyError: If a name doesn't match a registered projection.
|
||||
|
||||
Example:
|
||||
```python
|
||||
for name, item in run.interleave("messages", "values"):
|
||||
if name == "messages":
|
||||
print("msg:", item)
|
||||
else:
|
||||
print("val:", item)
|
||||
```
|
||||
"""
|
||||
cursors: dict[str, Iterator[Any]] = {
|
||||
name: iter(self.extensions[name]) for name in names
|
||||
}
|
||||
done: set[str] = set()
|
||||
while len(done) < len(cursors):
|
||||
for name, cursor in cursors.items():
|
||||
if name in done:
|
||||
continue
|
||||
try:
|
||||
item = next(cursor)
|
||||
except StopIteration:
|
||||
done.add(name)
|
||||
continue
|
||||
yield (name, item)
|
||||
|
||||
|
||||
class GraphRunStream(BaseRunStream):
|
||||
"""Sync run stream with caller-driven pumping.
|
||||
|
||||
The caller's iteration on any projection (`values`, `messages`,
|
||||
raw events, or `output`) drives the graph forward. No background
|
||||
thread is used — the caller's `for` loop is the pump.
|
||||
|
||||
Projections are single-consumer — iterating `run.values` twice
|
||||
raises. Use `projection.tee(n)` if you genuinely need fan-out.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
graph_iter: Iterator[Any],
|
||||
mux: StreamMux,
|
||||
) -> None:
|
||||
"""Initialize the run stream.
|
||||
|
||||
Args:
|
||||
graph_iter: Pull-based iterator over the graph's stream.
|
||||
mux: The StreamMux owning projections and the main log.
|
||||
Must have a `ValuesTransformer` registered under the
|
||||
`"values"` key — `output` / `interrupted` / `interrupts`
|
||||
read from it lazily.
|
||||
"""
|
||||
super().__init__(mux)
|
||||
self._graph_iter = graph_iter
|
||||
self._exhausted = False
|
||||
mux.bind_pump(self._pump_next)
|
||||
|
||||
def _pump_next(self) -> bool:
|
||||
"""Pull one event from the graph and push it through the mux.
|
||||
|
||||
Returns:
|
||||
True if an event was pulled, False if the graph is
|
||||
exhausted or has raised.
|
||||
"""
|
||||
if self._exhausted:
|
||||
return False
|
||||
try:
|
||||
part = next(self._graph_iter)
|
||||
except StopIteration:
|
||||
self._mux.close()
|
||||
self._exhausted = True
|
||||
return False
|
||||
except Exception as e:
|
||||
self._mux.fail(e)
|
||||
self._exhausted = True
|
||||
return False
|
||||
self._mux.push(convert_to_protocol_event(part))
|
||||
return True
|
||||
|
||||
def abort(self) -> None:
|
||||
"""Stop the run early.
|
||||
|
||||
Closes the mux and marks the stream exhausted. The graph
|
||||
iterator is dropped; any in-flight nodes see the closure on
|
||||
their next yield point. Idempotent.
|
||||
"""
|
||||
if self._exhausted:
|
||||
return
|
||||
self._exhausted = True
|
||||
try:
|
||||
self._mux.close()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
def __enter__(self) -> GraphRunStream:
|
||||
return self
|
||||
|
||||
def __exit__(
|
||||
self,
|
||||
exc_type: type[BaseException] | None,
|
||||
exc: BaseException | None,
|
||||
tb: TracebackType | None,
|
||||
) -> None:
|
||||
self.abort()
|
||||
|
||||
@property
|
||||
def output(self) -> dict[str, Any] | None:
|
||||
"""Drive the run to completion and return the final state."""
|
||||
_drive_until_done(self._pump_next)
|
||||
vt = self._values_transformer
|
||||
if vt.error is not None:
|
||||
raise vt.error
|
||||
return vt._latest
|
||||
|
||||
@property
|
||||
def interrupted(self) -> bool:
|
||||
"""Drive the run to completion, then return whether it was interrupted.
|
||||
|
||||
Raises:
|
||||
BaseException: If the run ended with an error.
|
||||
"""
|
||||
_drive_until_done(self._pump_next)
|
||||
vt = self._values_transformer
|
||||
if vt.error is not None:
|
||||
raise vt.error
|
||||
return vt._interrupted
|
||||
|
||||
@property
|
||||
def interrupts(self) -> list[Any]:
|
||||
"""Drive the run to completion, then return interrupt payloads.
|
||||
|
||||
Raises:
|
||||
BaseException: If the run ended with an error.
|
||||
"""
|
||||
_drive_until_done(self._pump_next)
|
||||
vt = self._values_transformer
|
||||
if vt.error is not None:
|
||||
raise vt.error
|
||||
return vt._interrupts
|
||||
|
||||
|
||||
class AsyncGraphRunStream(BaseRunStream):
|
||||
"""Async run stream with caller-driven pumping.
|
||||
|
||||
Async iteration on any projection drives the graph forward — there
|
||||
is no background task. Concurrent consumers share a single-flight
|
||||
pump via an `asyncio.Lock`, so each awaiting cursor contributes
|
||||
one event per acquisition. Backpressure comes from the logs: when
|
||||
a subscribed log's buffer reaches `maxlen`, `apush` awaits the
|
||||
subscriber to drain, which holds back the pump and paces the
|
||||
graph.
|
||||
|
||||
Projections are single-consumer — a second `aiter(run.values)`
|
||||
raises. Use `projection.tee(n)` for fan-out.
|
||||
|
||||
Use as an async context manager to guarantee clean shutdown on
|
||||
early exit:
|
||||
|
||||
```python
|
||||
async with await handler.astream(input) as run:
|
||||
async for msg in run.messages:
|
||||
...
|
||||
```
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
graph_aiter: AsyncIterator[Any],
|
||||
mux: StreamMux,
|
||||
) -> None:
|
||||
"""Initialize the async run stream.
|
||||
|
||||
Args:
|
||||
graph_aiter: Async iterator over the graph's stream.
|
||||
mux: The StreamMux owning projections and the main log.
|
||||
Must have a `ValuesTransformer` registered under the
|
||||
`"values"` key — `output` / `interrupted` / `interrupts`
|
||||
read from it lazily.
|
||||
"""
|
||||
super().__init__(mux)
|
||||
self._graph_aiter = graph_aiter
|
||||
self._exhausted = False
|
||||
self._pump_cond = asyncio.Condition()
|
||||
self._pumping = False
|
||||
mux.bind_apump(self._apump_next)
|
||||
|
||||
async def _apump_next(self) -> bool:
|
||||
"""Drive one pump step, or wait for the active pumper to drive one.
|
||||
|
||||
"Take-a-number" semantics: at most one task at a time calls
|
||||
`graph_aiter.__anext__()` (asyncio iterators can't be advanced
|
||||
concurrently). Other callers wait on a Condition that the
|
||||
active pumper notifies after each step. This lets a "passive"
|
||||
consumer — one whose projection's buffer is being filled by the
|
||||
active pumper's push — wake up as soon as its data lands,
|
||||
instead of queueing on the pump and only observing its data one
|
||||
graph event late.
|
||||
|
||||
`except Exception` is intentional — `CancelledError` and other
|
||||
`BaseException` subclasses propagate, matching asyncio's
|
||||
cancellation contract.
|
||||
|
||||
Returns:
|
||||
True if a pump step completed (by this task or another),
|
||||
False if the graph is exhausted.
|
||||
"""
|
||||
async with self._pump_cond:
|
||||
if self._exhausted:
|
||||
return False
|
||||
if self._pumping:
|
||||
# Another task is pumping; wait for its progress signal.
|
||||
await self._pump_cond.wait()
|
||||
return not self._exhausted
|
||||
self._pumping = True
|
||||
|
||||
try:
|
||||
try:
|
||||
part = await self._graph_aiter.__anext__()
|
||||
except StopAsyncIteration:
|
||||
self._exhausted = True
|
||||
await self._mux.aclose()
|
||||
return False
|
||||
except Exception as e:
|
||||
self._exhausted = True
|
||||
await self._mux.afail(e)
|
||||
return False
|
||||
await self._mux.apush(convert_to_protocol_event(part))
|
||||
return True
|
||||
finally:
|
||||
async with self._pump_cond:
|
||||
self._pumping = False
|
||||
self._pump_cond.notify_all()
|
||||
|
||||
async def abort(self) -> None:
|
||||
"""Stop the run early.
|
||||
|
||||
Marks the stream exhausted, wakes any pump-waiters, and closes
|
||||
the mux. Any `apush` blocked on backpressure wakes and returns
|
||||
without appending. Idempotent.
|
||||
"""
|
||||
async with self._pump_cond:
|
||||
if self._exhausted:
|
||||
return
|
||||
self._exhausted = True
|
||||
self._pump_cond.notify_all()
|
||||
try:
|
||||
await self._mux.aclose()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
async def __aenter__(self) -> AsyncGraphRunStream:
|
||||
return self
|
||||
|
||||
async def __aexit__(
|
||||
self,
|
||||
exc_type: type[BaseException] | None,
|
||||
exc: BaseException | None,
|
||||
tb: TracebackType | None,
|
||||
) -> None:
|
||||
await self.abort()
|
||||
|
||||
async def output(self) -> dict[str, Any] | None:
|
||||
"""Drive the run to completion and return the final state.
|
||||
|
||||
Methods (not properties) on the async lane so `run.output`
|
||||
without `await` raises at type-check time instead of silently
|
||||
yielding a coroutine object.
|
||||
|
||||
Example:
|
||||
```python
|
||||
output = await run.output()
|
||||
```
|
||||
|
||||
Raises:
|
||||
BaseException: If the run ended with an error.
|
||||
"""
|
||||
await _adrive_until_done(self._apump_next)
|
||||
if (err := self._values_transformer.error) is not None:
|
||||
raise err
|
||||
return self._values_transformer._latest
|
||||
|
||||
async def interrupted(self) -> bool:
|
||||
"""Drive the run to completion and return whether it was interrupted.
|
||||
|
||||
Raises:
|
||||
BaseException: If the run ended with an error.
|
||||
"""
|
||||
await _adrive_until_done(self._apump_next)
|
||||
if (err := self._values_transformer.error) is not None:
|
||||
raise err
|
||||
return self._values_transformer._interrupted
|
||||
|
||||
async def interrupts(self) -> list[Any]:
|
||||
"""Drive the run to completion and return interrupt payloads.
|
||||
|
||||
Raises:
|
||||
BaseException: If the run ended with an error.
|
||||
"""
|
||||
await _adrive_until_done(self._apump_next)
|
||||
if (err := self._values_transformer.error) is not None:
|
||||
raise err
|
||||
return self._values_transformer._interrupts
|
||||
@@ -0,0 +1,109 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import AsyncIterator, Callable, Iterator
|
||||
from typing import Generic, TypeVar
|
||||
|
||||
from langgraph.stream._event_log import EventLog
|
||||
|
||||
T = TypeVar("T")
|
||||
|
||||
|
||||
class StreamChannel(Generic[T]):
|
||||
"""A named projection channel with optional protocol auto-forwarding.
|
||||
|
||||
Wraps an event log and declares a protocol channel name. When the
|
||||
StreamMux detects a StreamChannel in a transformer's `init()`
|
||||
return value, it automatically wires every `push()` to inject a
|
||||
`ProtocolEvent` into the main event stream using the channel's
|
||||
name as the method.
|
||||
|
||||
Auto-forwarded events bypass the transformer pipeline — other
|
||||
transformers' `process()` / `aprocess()` methods do not see
|
||||
`custom:<name>` events produced by a channel push. This prevents a
|
||||
transformer that pushes to its own channel during `process()` from
|
||||
re-triggering itself, but it also means filter- or tap-style
|
||||
transformers cannot observe channel output from peer transformers.
|
||||
Consumers that need that should iterate the main event stream.
|
||||
|
||||
In-process consumers iterate the channel directly (`for item in ch`
|
||||
or `async for item in ch`). Remote SDK clients subscribe via
|
||||
`session.subscribe("custom:<channelName>")`.
|
||||
|
||||
Like EventLog, a StreamChannel starts unbound. The mux calls
|
||||
`_bind(is_async)` during registration so the correct iteration
|
||||
protocol is available by the time user code sees it.
|
||||
|
||||
Lifecycle (`_close` / `_fail`) is managed by the mux — transformers
|
||||
using only StreamChannels don't need `finalize` or `fail` hooks.
|
||||
"""
|
||||
|
||||
def __init__(self, name: str, *, maxlen: int | None = None) -> None:
|
||||
"""Initialize the channel with an empty inner log.
|
||||
|
||||
Args:
|
||||
name: The protocol channel name used for auto-forwarded
|
||||
events (`custom:<name>` on the wire).
|
||||
maxlen: Optional retention cap on the inner EventLog. See
|
||||
`EventLog.__init__` for semantics.
|
||||
"""
|
||||
self.name = name
|
||||
self._log: EventLog[T] = EventLog(maxlen=maxlen)
|
||||
self._wire_fn: Callable[[T], None] | None = None
|
||||
|
||||
def _bind(self, *, is_async: bool) -> None:
|
||||
"""Bind the underlying event log to sync or async mode.
|
||||
|
||||
Args:
|
||||
is_async: True for async iteration, False for sync.
|
||||
"""
|
||||
self._log._bind(is_async=is_async)
|
||||
|
||||
def push(self, item: T) -> None:
|
||||
"""Append an item to the log and auto-forward if wired.
|
||||
|
||||
Args:
|
||||
item: The item to push.
|
||||
"""
|
||||
self._log.push(item)
|
||||
if self._wire_fn is not None:
|
||||
self._wire_fn(item)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Mux lifecycle hooks (not called by transformers directly)
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def _wire(self, fn: Callable[[T], None]) -> None:
|
||||
"""Install the auto-forward callback (called by StreamMux)."""
|
||||
self._wire_fn = fn
|
||||
|
||||
def _close(self) -> None:
|
||||
"""Close the underlying log (called by StreamMux on run end)."""
|
||||
self._log.close()
|
||||
|
||||
def _fail(self, err: BaseException) -> None:
|
||||
"""Fail the underlying log (called by StreamMux on run error)."""
|
||||
self._log.fail(err)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Iteration — delegates to the inner event log (multi-cursor)
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def __iter__(self) -> Iterator[T]:
|
||||
return iter(self._log)
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[T]:
|
||||
return self._log.__aiter__()
|
||||
|
||||
def tee(self, n: int = 2) -> tuple[Iterator[T], ...]:
|
||||
"""Fan out the channel into `n` independent sync iterators.
|
||||
|
||||
Delegates to the underlying EventLog's `tee()`.
|
||||
"""
|
||||
return self._log.tee(n)
|
||||
|
||||
def atee(self, n: int = 2) -> tuple[AsyncIterator[T], ...]:
|
||||
"""Fan out the channel into `n` independent async iterators.
|
||||
|
||||
Delegates to the underlying EventLog's `atee()`.
|
||||
"""
|
||||
return self._log.atee(n)
|
||||
@@ -0,0 +1,750 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from typing import TYPE_CHECKING, Any, Literal, cast
|
||||
|
||||
from langchain_core.language_models._compat_bridge import message_to_events
|
||||
from langchain_core.language_models.chat_model_stream import (
|
||||
AsyncChatModelStream,
|
||||
ChatModelStream,
|
||||
)
|
||||
from langchain_core.messages import AIMessageChunk, BaseMessage
|
||||
from langchain_protocol.protocol import (
|
||||
CheckpointRef,
|
||||
LifecycleCause,
|
||||
LifecycleData,
|
||||
MessagesData,
|
||||
)
|
||||
|
||||
from langgraph.errors import GraphInterrupt
|
||||
from langgraph.stream._event_log import EventLog
|
||||
from langgraph.stream._types import ProtocolEvent, StreamTransformer
|
||||
from langgraph.stream.run_stream import BaseRunStream
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from collections.abc import Awaitable, Callable
|
||||
|
||||
from langgraph.stream._mux import StreamMux
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
SubgraphStatus = Literal["started", "running", "completed", "failed", "interrupted"]
|
||||
_TERMINAL_STATUSES: frozenset[SubgraphStatus] = frozenset(
|
||||
{"completed", "failed", "interrupted"}
|
||||
)
|
||||
|
||||
|
||||
def _is_record(value: Any) -> bool:
|
||||
return isinstance(value, dict)
|
||||
|
||||
|
||||
def _to_chat_model_stream_event(event: MessagesData) -> MessagesData:
|
||||
"""Convert wire-shaped message fields to ChatModelStream's internal shape."""
|
||||
event_type = event.get("event")
|
||||
converted: dict[str, Any] = dict(event)
|
||||
if (
|
||||
event_type == "message-start"
|
||||
and "message_id" not in converted
|
||||
and isinstance(converted.get("id"), str)
|
||||
):
|
||||
converted["message_id"] = converted["id"]
|
||||
if (
|
||||
event_type in ("content-block-start", "content-block-delta", "content-block-finish")
|
||||
and "content_block" not in converted
|
||||
and isinstance(converted.get("content"), dict)
|
||||
):
|
||||
converted["content_block"] = converted["content"]
|
||||
return cast("MessagesData", converted)
|
||||
|
||||
|
||||
def _message_event_id(event: MessagesData) -> str | None:
|
||||
raw_id = event.get("id") or event.get("message_id")
|
||||
return str(raw_id) if raw_id is not None else None
|
||||
|
||||
|
||||
def _content_block_start_skeleton(content: Any) -> dict[str, Any] | None:
|
||||
"""Return a minimal content-block-start payload for a delta/finish block."""
|
||||
if not _is_record(content) or not isinstance(content.get("type"), str):
|
||||
return None
|
||||
|
||||
block_type = content["type"]
|
||||
skeleton: dict[str, Any] = {"type": block_type}
|
||||
if block_type == "text":
|
||||
skeleton["text"] = ""
|
||||
elif block_type == "reasoning":
|
||||
skeleton["reasoning"] = ""
|
||||
elif block_type in ("tool_call", "tool_call_chunk"):
|
||||
skeleton["type"] = "tool_call_chunk"
|
||||
if isinstance(content.get("id"), str):
|
||||
skeleton["id"] = content["id"]
|
||||
if isinstance(content.get("name"), str):
|
||||
skeleton["name"] = content["name"]
|
||||
skeleton["args"] = ""
|
||||
elif block_type in ("server_tool_call", "server_tool_call_chunk"):
|
||||
skeleton["type"] = "server_tool_call_chunk"
|
||||
if isinstance(content.get("id"), str):
|
||||
skeleton["id"] = content["id"]
|
||||
if isinstance(content.get("name"), str):
|
||||
skeleton["name"] = content["name"]
|
||||
skeleton["args"] = ""
|
||||
return skeleton
|
||||
|
||||
|
||||
def _copy_event(
|
||||
source: ProtocolEvent,
|
||||
*,
|
||||
method: str,
|
||||
namespace: list[str],
|
||||
data: Any,
|
||||
) -> ProtocolEvent:
|
||||
params = {**source["params"], "namespace": namespace, "data": data}
|
||||
return {"type": "event", "method": method, "params": params}
|
||||
|
||||
|
||||
def _message_repair_key(event: ProtocolEvent, run_id: str) -> str:
|
||||
namespace_key = "\x1f".join(event["params"]["namespace"])
|
||||
return f"{namespace_key}\x1e{run_id}"
|
||||
|
||||
|
||||
def _extract_tool_calls_from_values(data: Any) -> dict[str, dict[str, Any]]:
|
||||
if not _is_record(data):
|
||||
return {}
|
||||
messages = data.get("messages")
|
||||
if not isinstance(messages, list):
|
||||
return {}
|
||||
known: dict[str, dict[str, Any]] = {}
|
||||
for message in messages:
|
||||
if not _is_record(message):
|
||||
continue
|
||||
tool_calls = message.get("tool_calls")
|
||||
if not isinstance(tool_calls, list):
|
||||
continue
|
||||
for tool_call in tool_calls:
|
||||
if not _is_record(tool_call):
|
||||
continue
|
||||
tool_call_id = tool_call.get("id")
|
||||
if not isinstance(tool_call_id, str):
|
||||
continue
|
||||
name = tool_call.get("name")
|
||||
args = tool_call.get("args")
|
||||
known[tool_call_id] = {
|
||||
"tool_name": name if isinstance(name, str) else "",
|
||||
"input": args if _is_record(args) else {},
|
||||
}
|
||||
return known
|
||||
|
||||
|
||||
class ValuesTransformer(StreamTransformer):
|
||||
"""Capture values events as a drainable stream of state snapshots.
|
||||
|
||||
Keeps `_latest` / `_interrupted` / `_interrupts` as scalar state
|
||||
regardless of whether the log has a subscriber — so `run.output()`
|
||||
and `run.interrupted` work without forcing the caller to iterate
|
||||
`run.values`. Log pushes are silent no-ops when unsubscribed.
|
||||
|
||||
Native transformer — projection keys are exposed as direct
|
||||
attributes on the run stream (e.g. `run.values`).
|
||||
|
||||
`scope` (inherited from `StreamTransformer`) is the namespace the
|
||||
transformer captures values for. `()` matches the root graph;
|
||||
subgraph mini-muxes pass their subgraph's namespace, so each
|
||||
instance sees only its own level.
|
||||
"""
|
||||
|
||||
_native = True
|
||||
required_stream_modes = ("values",)
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._log: EventLog[dict[str, Any]] = EventLog()
|
||||
self._latest: dict[str, Any] | None = None
|
||||
self._interrupted = False
|
||||
self._interrupts: list[Any] = []
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"values": self._log}
|
||||
|
||||
@property
|
||||
def error(self) -> BaseException | None:
|
||||
"""The error that ended the run, or `None` if it succeeded.
|
||||
|
||||
Set by the mux when it auto-fails the projection log.
|
||||
"""
|
||||
return self._log._error
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
# Namespace filtering is handled by the mux via `scope_exact`.
|
||||
if event["method"] != "values":
|
||||
return True
|
||||
params = event["params"]
|
||||
self._latest = params["data"]
|
||||
interrupts = params.get("interrupts", ())
|
||||
if interrupts:
|
||||
self._interrupted = True
|
||||
self._interrupts.extend(interrupts)
|
||||
self._log.push(params["data"])
|
||||
return True
|
||||
|
||||
|
||||
class ToolLifecycleTransformer(StreamTransformer):
|
||||
"""Repair tool-start events needed for deterministic subagent discovery.
|
||||
|
||||
Some subagent frameworks expose a tool-caused subgraph lifecycle before
|
||||
a LangChain tool callback has emitted the matching `tool-started`
|
||||
frame. Core can infer the missing start from the latest values snapshot
|
||||
(`messages[*].tool_calls`) and emit it before the lifecycle event leaves
|
||||
the mux, keeping remote clients from guessing from values snapshots.
|
||||
"""
|
||||
|
||||
scope_exact = False
|
||||
required_stream_modes = ("values", "tools", "lifecycle")
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._known_tool_calls: dict[str, dict[str, Any]] = {}
|
||||
self._emitted_tool_starts: set[str] = set()
|
||||
self._mux: StreamMux | None = None
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {}
|
||||
|
||||
def _on_register(self, mux: StreamMux) -> None:
|
||||
self._mux = mux
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
method = event["method"]
|
||||
data = event["params"]["data"]
|
||||
if method == "values":
|
||||
self._known_tool_calls.update(_extract_tool_calls_from_values(data))
|
||||
return True
|
||||
if method == "tools" and _is_record(data):
|
||||
if (
|
||||
data.get("event") == "tool-started"
|
||||
and isinstance(data.get("tool_call_id"), str)
|
||||
):
|
||||
tool_call_id = cast("str", data["tool_call_id"])
|
||||
if tool_call_id in self._emitted_tool_starts:
|
||||
return False
|
||||
self._emitted_tool_starts.add(tool_call_id)
|
||||
return True
|
||||
if method == "lifecycle":
|
||||
self._emit_missing_tool_started(event)
|
||||
return True
|
||||
|
||||
def _emit_missing_tool_started(self, event: ProtocolEvent) -> None:
|
||||
if self._mux is None:
|
||||
return
|
||||
data = event["params"]["data"]
|
||||
if not _is_record(data) or data.get("event") != "started":
|
||||
return
|
||||
cause = data.get("cause")
|
||||
if not _is_record(cause) or cause.get("type") != "toolCall":
|
||||
return
|
||||
tool_call_id = cause.get("tool_call_id")
|
||||
if not isinstance(tool_call_id, str):
|
||||
return
|
||||
if tool_call_id in self._emitted_tool_starts:
|
||||
return
|
||||
known = self._known_tool_calls.get(tool_call_id)
|
||||
if known is None:
|
||||
return
|
||||
|
||||
self._emitted_tool_starts.add(tool_call_id)
|
||||
namespace = event["params"]["namespace"]
|
||||
self._mux.emit(
|
||||
_copy_event(
|
||||
event,
|
||||
method="tools",
|
||||
namespace=namespace[:-1],
|
||||
data={
|
||||
"event": "tool-started",
|
||||
"tool_call_id": tool_call_id,
|
||||
"tool_name": known["tool_name"],
|
||||
"input": known["input"],
|
||||
},
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
class MessagesTransformer(StreamTransformer):
|
||||
"""Capture messages events as ChatModelStream objects.
|
||||
|
||||
The messages projection yields one `ChatModelStream` (or
|
||||
`AsyncChatModelStream`) per LLM call. Consumers iterate
|
||||
`run.messages` to get stream handles, then use each handle's typed
|
||||
projections (`.text`, `.reasoning`, `.tool_calls`, `.usage`,
|
||||
`.output`) for per-message content.
|
||||
|
||||
Two input shapes are handled (via `params["data"] = (payload,
|
||||
metadata)` from `StreamMessagesHandler`):
|
||||
|
||||
1. Protocol event (dict with `"event"` key) — emitted by
|
||||
`stream_v2()` / `astream_v2()` via the `on_stream_event`
|
||||
callback. Routed to an existing `ChatModelStream` by
|
||||
`metadata["run_id"]`. A `message-start` event creates a new
|
||||
stream; `message-finish` closes it.
|
||||
2. Whole `AIMessage` — emitted from `on_chain_end` when a node
|
||||
returns a finalized message. Replayed as a synthetic protocol
|
||||
event lifecycle via `message_to_events`, then the
|
||||
already-complete stream is pushed to the log.
|
||||
|
||||
V1 `AIMessageChunk` tuples (from `on_llm_new_token`) are not
|
||||
streamed into this projection: chat models that want to populate
|
||||
`run.messages` with content-block streaming must use
|
||||
`stream_v2()` / `astream_v2()`. Models called via the legacy
|
||||
`stream()` method still surface their final `AIMessage` via
|
||||
`on_chain_end` when a node returns it as state.
|
||||
|
||||
`scope` (inherited from `StreamTransformer`) is the namespace the
|
||||
transformer captures messages for. `()` matches the root graph;
|
||||
subgraph mini-muxes pass their subgraph's namespace, so each
|
||||
instance sees only its own level.
|
||||
|
||||
Native transformer — the `messages` projection is exposed as a
|
||||
direct attribute on the run stream.
|
||||
|
||||
`scope_exact = False`: matches events at the transformer's own
|
||||
namespace **or** exactly one segment deeper (the chat-model /
|
||||
node's own task ns). Mirrors JS's root-feed filter
|
||||
(`namespaces=[[]], depth=1`) — root accepts depth-0 events plus
|
||||
its own nodes' depth-1 tokens; subgraph mini-muxes accept their
|
||||
own scope plus their internal nodes' tokens. Events deeper than
|
||||
scope + 1 are dropped (the enclosing `SubgraphTransformer` has
|
||||
already forwarded them to the matching child mini-mux).
|
||||
"""
|
||||
|
||||
_native = True
|
||||
scope_exact = False
|
||||
required_stream_modes = ("messages",)
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._log: EventLog[ChatModelStream] = EventLog()
|
||||
# Correlate protocol events back to a ChatModelStream by run_id
|
||||
# (attached to the event's metadata by StreamMessagesHandler).
|
||||
self._by_run: dict[str, ChatModelStream] = {}
|
||||
self._started_blocks: dict[str, set[int]] = {}
|
||||
self._mux: StreamMux | None = None
|
||||
self._pump_fn: Callable[[], bool] | None = None
|
||||
self._apump_fn: Callable[[], Awaitable[bool]] | None = None
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"messages": self._log}
|
||||
|
||||
def _on_register(self, mux: StreamMux) -> None:
|
||||
self._mux = mux
|
||||
|
||||
def _bind_pump(self, fn: Callable[[], bool]) -> None:
|
||||
"""Wire the sync pull callback. Called by GraphRunStream._wire_request_more."""
|
||||
self._pump_fn = fn
|
||||
|
||||
def _bind_apump(self, fn: Callable[[], Awaitable[bool]]) -> None:
|
||||
"""Wire the async pull callback.
|
||||
|
||||
Called by `AsyncGraphRunStream._wire_arequest_more` so each
|
||||
`AsyncChatModelStream` this transformer creates can drive the
|
||||
shared graph pump from its projection cursors.
|
||||
"""
|
||||
self._apump_fn = fn
|
||||
|
||||
def _make_stream(
|
||||
self,
|
||||
*,
|
||||
namespace: list[str],
|
||||
node: str | None,
|
||||
message_id: str | None,
|
||||
) -> ChatModelStream:
|
||||
"""Create a ChatModelStream (sync) or AsyncChatModelStream (async).
|
||||
|
||||
Wires whichever pump is bound. Prefers the async pump so nested
|
||||
iteration under `AsyncGraphRunStream` drives the graph forward
|
||||
without a background task. The unwired fallback (no pump bound)
|
||||
is used by unit tests that dispatch events manually.
|
||||
"""
|
||||
if self._apump_fn is not None:
|
||||
astream = AsyncChatModelStream(
|
||||
namespace=namespace,
|
||||
node=node,
|
||||
message_id=message_id,
|
||||
)
|
||||
astream.set_arequest_more(self._apump_fn)
|
||||
return astream
|
||||
if self._pump_fn is not None:
|
||||
stream: ChatModelStream = ChatModelStream(
|
||||
namespace=namespace,
|
||||
node=node,
|
||||
message_id=message_id,
|
||||
)
|
||||
stream.set_request_more(self._pump_fn)
|
||||
return stream
|
||||
return AsyncChatModelStream(
|
||||
namespace=namespace,
|
||||
node=node,
|
||||
message_id=message_id,
|
||||
)
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
if event["method"] != "messages":
|
||||
return True
|
||||
params = event["params"]
|
||||
# Accept events at our scope or exactly one segment deeper
|
||||
# (the chat-model / node's own task ns). Deeper events belong
|
||||
# to a subgraph and are routed by `SubgraphTransformer`.
|
||||
ns = tuple(params["namespace"])
|
||||
depth = len(self.scope)
|
||||
if ns[:depth] != self.scope:
|
||||
return True
|
||||
|
||||
raw_data = params["data"]
|
||||
metadata: dict[str, Any] = {}
|
||||
if isinstance(raw_data, tuple) and len(raw_data) == 2:
|
||||
payload, raw_metadata = raw_data
|
||||
metadata = raw_metadata if isinstance(raw_metadata, dict) else {}
|
||||
else:
|
||||
payload = raw_data
|
||||
node = params.get("node")
|
||||
if not isinstance(node, str):
|
||||
node = metadata.get("langgraph_node")
|
||||
if not isinstance(node, str):
|
||||
node = None
|
||||
raw_run_id = params.get("run_id", metadata.get("run_id"))
|
||||
run_id = str(raw_run_id) if raw_run_id is not None else ""
|
||||
|
||||
if isinstance(payload, dict) and "event" in payload:
|
||||
self._repair_content_block_lifecycle(
|
||||
event, cast("MessagesData", payload), run_id=run_id
|
||||
)
|
||||
if len(ns) > depth + 1:
|
||||
return True
|
||||
self._route_protocol_event(
|
||||
cast("MessagesData", payload), run_id=run_id, node=node
|
||||
)
|
||||
elif isinstance(payload, BaseMessage) and not isinstance(
|
||||
payload, AIMessageChunk
|
||||
):
|
||||
self._route_whole_message(payload, node=node)
|
||||
# Legacy AIMessageChunk tuples (from on_llm_new_token) are ignored;
|
||||
# v1 streaming callers must switch to stream_v2() to populate this
|
||||
# projection.
|
||||
|
||||
return True
|
||||
|
||||
def _route_protocol_event(
|
||||
self,
|
||||
event: MessagesData,
|
||||
*,
|
||||
run_id: str,
|
||||
node: str | None,
|
||||
) -> None:
|
||||
stream_event = _to_chat_model_stream_event(event)
|
||||
event_type = event.get("event")
|
||||
if event_type == "message-start":
|
||||
message_id = _message_event_id(event)
|
||||
stream = self._make_stream(
|
||||
namespace=list(self.scope),
|
||||
node=node,
|
||||
message_id=message_id,
|
||||
)
|
||||
self._by_run[run_id or message_id or ""] = stream
|
||||
self._log.push(stream)
|
||||
stream.dispatch(stream_event)
|
||||
elif run_id in self._by_run:
|
||||
stream = self._by_run[run_id]
|
||||
stream.dispatch(stream_event)
|
||||
if event_type == "message-finish":
|
||||
del self._by_run[run_id]
|
||||
|
||||
def _repair_content_block_lifecycle(
|
||||
self,
|
||||
source: ProtocolEvent,
|
||||
event: MessagesData,
|
||||
*,
|
||||
run_id: str,
|
||||
) -> None:
|
||||
if self._mux is None:
|
||||
return
|
||||
event_type = event.get("event")
|
||||
key = _message_repair_key(source, run_id)
|
||||
if event_type == "message-start":
|
||||
self._started_blocks[key] = set()
|
||||
return
|
||||
if event_type == "content-block-start":
|
||||
index = event.get("index")
|
||||
if isinstance(index, int):
|
||||
self._started_blocks.setdefault(key, set()).add(index)
|
||||
return
|
||||
if event_type in ("content-block-delta", "content-block-finish"):
|
||||
index = event.get("index")
|
||||
if not isinstance(index, int):
|
||||
return
|
||||
started = self._started_blocks.setdefault(key, set())
|
||||
if index in started:
|
||||
return
|
||||
skeleton = _content_block_start_skeleton(event.get("content"))
|
||||
if skeleton is None:
|
||||
return
|
||||
started.add(index)
|
||||
self._mux.emit(
|
||||
_copy_event(
|
||||
source,
|
||||
method="messages",
|
||||
namespace=list(source["params"]["namespace"]),
|
||||
data={
|
||||
"event": "content-block-start",
|
||||
"index": index,
|
||||
"content": skeleton,
|
||||
},
|
||||
)
|
||||
)
|
||||
elif event_type == "message-finish":
|
||||
self._started_blocks.pop(key, None)
|
||||
|
||||
def _route_whole_message(self, message: BaseMessage, *, node: str | None) -> None:
|
||||
stream = self._make_stream(
|
||||
namespace=list(self.scope),
|
||||
node=node,
|
||||
message_id=message.id,
|
||||
)
|
||||
for evt in message_to_events(message, message_id=message.id):
|
||||
stream.dispatch(evt)
|
||||
self._log.push(stream)
|
||||
|
||||
def finalize(self) -> None:
|
||||
"""Clear any routing state — streams close themselves via `message-finish`."""
|
||||
self._by_run.clear()
|
||||
self._started_blocks.clear()
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Propagate run error to any streams still open when the graph fails."""
|
||||
for stream in list(self._by_run.values()):
|
||||
stream.fail(err)
|
||||
self._by_run.clear()
|
||||
self._started_blocks.clear()
|
||||
|
||||
|
||||
class SubgraphRunStream(BaseRunStream):
|
||||
"""Scoped view of a single nested subgraph execution.
|
||||
|
||||
Yielded on `run.subgraphs` (or `parent.subgraphs` for grandchildren)
|
||||
when a nested `Pregel` spawns. Wraps a mini-`StreamMux` built with
|
||||
the same transformer factories as the root mux, so `.values`,
|
||||
`.messages`, `.subgraphs` are populated by the standard
|
||||
transformers scoped to this handle's namespace — no duplicated
|
||||
routing logic. The mini-mux borrows the root's pump via
|
||||
`make_child`'s pump inheritance, so any cursor on a subagent
|
||||
projection drives the whole run forward.
|
||||
|
||||
Lifecycle fields update in place as events arrive:
|
||||
|
||||
- `path`: the namespace tuple — stable for the life of the handle.
|
||||
- `graph_name` / `cause`: set once from the `started` payload.
|
||||
`cause` is populated by product-specific stream transformers
|
||||
(see `LifecycleCause` in the protocol definition); pregel itself
|
||||
emits no `cause`, so it may be `None` for subgraphs not covered
|
||||
by a product transformer.
|
||||
- `status`: advances `started` → `running` → `completed` /
|
||||
`failed` / `interrupted`.
|
||||
- `error` / `checkpoint`: set on the terminal event when present.
|
||||
|
||||
`.output` is a snapshot of the latest values seen at this
|
||||
namespace — it doesn't drive the pump (unlike root's
|
||||
`GraphRunStream.output`), because advancing a subgraph to
|
||||
completion is only meaningful as part of advancing the whole run.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
path: tuple[str, ...],
|
||||
mux: StreamMux,
|
||||
*,
|
||||
graph_name: str | None = None,
|
||||
cause: LifecycleCause | None = None,
|
||||
) -> None:
|
||||
super().__init__(mux)
|
||||
self.path: tuple[str, ...] = path
|
||||
self.graph_name: str | None = graph_name
|
||||
self.cause: LifecycleCause | None = cause
|
||||
self.status: SubgraphStatus = "started"
|
||||
self.error: str | None = None
|
||||
self.checkpoint: CheckpointRef | None = None
|
||||
|
||||
@property
|
||||
def output(self) -> dict[str, Any] | None:
|
||||
"""Latest values snapshot at this namespace, or `None`.
|
||||
|
||||
Snapshot-only — iterating other projections or the root's
|
||||
`.output` is what drives the pump.
|
||||
"""
|
||||
values_t = self._mux.transformer_by_key("values")
|
||||
if isinstance(values_t, ValuesTransformer):
|
||||
return values_t._latest
|
||||
return None
|
||||
|
||||
|
||||
class SubgraphTransformer(StreamTransformer):
|
||||
"""Discover subgraphs and route events into per-subgraph mini-muxes.
|
||||
|
||||
Thin state-machine + dispatcher. At its own `scope` (inherited
|
||||
from `StreamTransformer`, determined by the enclosing mux), it
|
||||
watches for `lifecycle` events at exactly one level deeper to
|
||||
discover direct children. Each discovered child gets its own
|
||||
`SubgraphRunStream` backed by a mini-`StreamMux` — built via
|
||||
`parent_mux.make_child(path)`, so the same factory list produces
|
||||
fresh transformer instances at the child's scope.
|
||||
|
||||
Every incoming event that falls under one of the direct children
|
||||
(ns starts with a child's `path`) is forwarded into that child's
|
||||
mini-mux via `push`. The standard transformers in that mini-mux
|
||||
(`ValuesTransformer`, `MessagesTransformer`, and another
|
||||
`SubgraphTransformer` for grandchildren) handle the rest. No
|
||||
duplicated routing or assembly logic.
|
||||
|
||||
Lifecycle state for each handle (running / completed / failed /
|
||||
interrupted) is updated in place as events fire. On terminal
|
||||
events, the handle's mini-mux is closed so any subscribed cursors
|
||||
unblock. `finalize` / `fail` handle dangling handles left mid-run.
|
||||
|
||||
Native transformer — `subgraphs` exposes the direct-children log.
|
||||
|
||||
`scope_exact = False`: this transformer sees events at any
|
||||
namespace, because it forwards out-of-scope events to the matching
|
||||
direct-child mini-mux.
|
||||
"""
|
||||
|
||||
_native = True
|
||||
scope_exact = False
|
||||
required_stream_modes = ("lifecycle",)
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._root_log: EventLog[SubgraphRunStream] = EventLog()
|
||||
# Direct children only (namespace = scope + one segment).
|
||||
self._by_ns: dict[tuple[str, ...], SubgraphRunStream] = {}
|
||||
self._mux: StreamMux | None = None
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"subgraphs": self._root_log}
|
||||
|
||||
def _on_register(self, mux: StreamMux) -> None:
|
||||
"""Capture the enclosing mux so we can build child mini-muxes."""
|
||||
self._mux = mux
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
ns = tuple(event["params"]["namespace"])
|
||||
method = event["method"]
|
||||
depth = len(self.scope)
|
||||
|
||||
# 1. On `started` for a direct child (ns depth = mine + 1 and
|
||||
# ns prefix matches mine), register the handle.
|
||||
if method == "lifecycle" and len(ns) == depth + 1 and ns[:-1] == self.scope:
|
||||
data = cast(LifecycleData, event["params"]["data"])
|
||||
if data.get("event") == "started":
|
||||
self._on_started(ns, data)
|
||||
|
||||
# 2. Forward the event to the matching direct-child mini-mux
|
||||
# before the status-change step below so that terminal events
|
||||
# reach the child's log and grandchild transformers *before*
|
||||
# the child's mini-mux is closed. Prefix-match: ns must start
|
||||
# with some child's path.
|
||||
direct_child_ns = ns[: depth + 1] if len(ns) > depth else None
|
||||
if direct_child_ns is not None and direct_child_ns in self._by_ns:
|
||||
self._by_ns[direct_child_ns]._mux.push(event)
|
||||
|
||||
# 3. Status change for a direct child (ns = child's path, method
|
||||
# = lifecycle). Update handle fields, close mini-mux on
|
||||
# terminal.
|
||||
if (
|
||||
method == "lifecycle"
|
||||
and ns in self._by_ns
|
||||
and len(ns) == depth + 1
|
||||
and ns[:-1] == self.scope
|
||||
):
|
||||
data = cast(LifecycleData, event["params"]["data"])
|
||||
event_type = data.get("event")
|
||||
if event_type in ("running", "completed", "failed", "interrupted"):
|
||||
self._on_status_change(ns, event_type, data)
|
||||
|
||||
return True
|
||||
|
||||
def _on_started(self, ns: tuple[str, ...], data: LifecycleData) -> None:
|
||||
if ns in self._by_ns:
|
||||
# Duplicate started — ignore.
|
||||
return
|
||||
# `_on_register` is called by the mux during registration, which
|
||||
# happens before any event can be dispatched — so this should
|
||||
# always be set by the time we process an event.
|
||||
assert self._mux is not None, (
|
||||
"SubgraphTransformer processed an event before _on_register; "
|
||||
"transformer registration ordering is broken."
|
||||
)
|
||||
child_mux = self._mux.make_child(ns)
|
||||
handle = SubgraphRunStream(
|
||||
path=ns,
|
||||
mux=child_mux,
|
||||
graph_name=data.get("graph_name"),
|
||||
cause=data.get("cause"),
|
||||
)
|
||||
self._by_ns[ns] = handle
|
||||
self._root_log.push(handle)
|
||||
|
||||
def _on_status_change(
|
||||
self,
|
||||
ns: tuple[str, ...],
|
||||
event_type: SubgraphStatus,
|
||||
data: LifecycleData,
|
||||
) -> None:
|
||||
handle = self._by_ns[ns]
|
||||
handle.status = event_type
|
||||
err = data.get("error")
|
||||
if err is not None:
|
||||
handle.error = err
|
||||
checkpoint = data.get("checkpoint")
|
||||
if checkpoint is not None:
|
||||
handle.checkpoint = checkpoint
|
||||
if event_type in _TERMINAL_STATUSES:
|
||||
self._close_handle_mux(handle)
|
||||
|
||||
@staticmethod
|
||||
def _close_handle_mux(handle: SubgraphRunStream) -> None:
|
||||
# Idempotent close — mux.close() runs finalize on its transformers
|
||||
# (which cascades through grandchildren) and closes projection logs.
|
||||
if not handle._mux._events._closed:
|
||||
try:
|
||||
handle._mux.close()
|
||||
except Exception:
|
||||
logger.warning(
|
||||
"Error closing subgraph mini-mux at %s; subscribers "
|
||||
"may not see a clean close.",
|
||||
handle.path,
|
||||
exc_info=True,
|
||||
)
|
||||
|
||||
def finalize(self) -> None:
|
||||
"""Transition any still-open direct children to `completed`."""
|
||||
for handle in self._by_ns.values():
|
||||
if handle.status not in _TERMINAL_STATUSES:
|
||||
handle.status = "completed"
|
||||
self._close_handle_mux(handle)
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Transition any still-open direct children to `failed` / `interrupted`."""
|
||||
is_interrupt = isinstance(err, GraphInterrupt)
|
||||
terminal: SubgraphStatus = "interrupted" if is_interrupt else "failed"
|
||||
error_str = None if is_interrupt else str(err)
|
||||
for handle in self._by_ns.values():
|
||||
if handle.status not in _TERMINAL_STATUSES:
|
||||
handle.status = terminal
|
||||
if error_str is not None and handle.error is None:
|
||||
handle.error = error_str
|
||||
if not handle._mux._events._closed:
|
||||
try:
|
||||
handle._mux.fail(err)
|
||||
except Exception:
|
||||
logger.warning(
|
||||
"Error failing subgraph mini-mux at %s; subscribers "
|
||||
"may not see the terminal error.",
|
||||
handle.path,
|
||||
exc_info=True,
|
||||
)
|
||||
@@ -116,7 +116,15 @@ def ensure_valid_checkpointer(checkpointer: Checkpointer) -> Checkpointer:
|
||||
|
||||
|
||||
StreamMode = Literal[
|
||||
"values", "updates", "checkpoints", "tasks", "debug", "messages", "custom"
|
||||
"values",
|
||||
"updates",
|
||||
"checkpoints",
|
||||
"tasks",
|
||||
"debug",
|
||||
"messages",
|
||||
"custom",
|
||||
"lifecycle",
|
||||
"tools",
|
||||
]
|
||||
"""How the stream method should emit outputs.
|
||||
|
||||
@@ -129,6 +137,8 @@ StreamMode = Literal[
|
||||
- `"checkpoints"`: Emit an event when a checkpoint is created, in the same format as returned by `get_state()`.
|
||||
- `"tasks"`: Emit events when tasks start and finish, including their results and errors.
|
||||
- `"debug"`: Emit `"checkpoints"` and `"tasks"` events for debugging purposes.
|
||||
- `"lifecycle"`: Emit subgraph lifecycle events (`started`, `running`, `completed`, `failed`, `interrupted`) with payloads matching `LifecycleData`.
|
||||
- `"tools"`: Emit tool-call lifecycle events (`tool-started`, `tool-output-delta`, `tool-finished`, `tool-error`) keyed by `tool_call_id`.
|
||||
"""
|
||||
|
||||
StreamWriter = Callable[[Any], None]
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph"
|
||||
version = "1.1.6"
|
||||
version = "1.1.7a2"
|
||||
description = "Building stateful, multi-actor applications with LLMs"
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
@@ -24,7 +24,7 @@ classifiers = [
|
||||
'Programming Language :: Python :: 3.13',
|
||||
]
|
||||
dependencies = [
|
||||
"langchain-core>=0.1",
|
||||
"langchain-core>=1.3.2",
|
||||
"langgraph-checkpoint>=2.1.0,<5.0.0",
|
||||
"langgraph-sdk>=0.3.0,<0.4.0",
|
||||
"langgraph-prebuilt>=1.0.9,<1.1.0",
|
||||
|
||||
@@ -0,0 +1,277 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
from typing import Any
|
||||
|
||||
import pytest
|
||||
from langchain_core.callbacks.base import BaseCallbackHandler
|
||||
from langchain_core.callbacks.manager import CallbackManager
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.callbacks import (
|
||||
GraphCallbackHandler,
|
||||
GraphInterruptEvent,
|
||||
GraphResumeEvent,
|
||||
)
|
||||
from langgraph.graph import START, StateGraph
|
||||
from langgraph.types import Command, Interrupt, interrupt
|
||||
|
||||
NEEDS_CONTEXTVARS = pytest.mark.skipif(
|
||||
sys.version_info < (3, 11),
|
||||
reason="Python 3.11+ is required for async contextvars support",
|
||||
)
|
||||
|
||||
|
||||
class _GraphEventHandler(GraphCallbackHandler):
|
||||
def __init__(self) -> None:
|
||||
self.interrupt_events: list[GraphInterruptEvent] = []
|
||||
self.resume_events: list[GraphResumeEvent] = []
|
||||
|
||||
def on_interrupt(self, event: GraphInterruptEvent) -> Any:
|
||||
self.interrupt_events.append(event)
|
||||
|
||||
def on_resume(self, event: GraphResumeEvent) -> Any:
|
||||
self.resume_events.append(event)
|
||||
|
||||
|
||||
class _LangChainCustomEventHandler(BaseCallbackHandler):
|
||||
run_inline = True
|
||||
|
||||
def __init__(self) -> None:
|
||||
self.events: list[str] = []
|
||||
|
||||
def on_custom_event(self, name: str, data: Any, **kwargs: Any) -> Any:
|
||||
self.events.append(name)
|
||||
|
||||
|
||||
class _RaisingGraphEventHandler(GraphCallbackHandler):
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
raise_on_interrupt: bool = False,
|
||||
raise_on_resume: bool = False,
|
||||
raise_error: bool = False,
|
||||
) -> None:
|
||||
self.raise_on_interrupt = raise_on_interrupt
|
||||
self.raise_on_resume = raise_on_resume
|
||||
self.raise_error = raise_error
|
||||
|
||||
def on_interrupt(self, event: GraphInterruptEvent) -> Any:
|
||||
if self.raise_on_interrupt:
|
||||
raise ValueError("boom-interrupt")
|
||||
|
||||
def on_resume(self, event: GraphResumeEvent) -> Any:
|
||||
if self.raise_on_resume:
|
||||
raise ValueError("boom-resume")
|
||||
|
||||
|
||||
class _AsyncRaisingGraphEventHandler(GraphCallbackHandler):
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
raise_on_interrupt: bool = False,
|
||||
raise_on_resume: bool = False,
|
||||
raise_error: bool = False,
|
||||
) -> None:
|
||||
self.raise_on_interrupt = raise_on_interrupt
|
||||
self.raise_on_resume = raise_on_resume
|
||||
self.raise_error = raise_error
|
||||
|
||||
async def on_interrupt(self, event: GraphInterruptEvent) -> Any:
|
||||
if self.raise_on_interrupt:
|
||||
raise ValueError("boom-interrupt")
|
||||
|
||||
async def on_resume(self, event: GraphResumeEvent) -> Any:
|
||||
if self.raise_on_resume:
|
||||
raise ValueError("boom-resume")
|
||||
|
||||
|
||||
class _State(TypedDict):
|
||||
answer: str | None
|
||||
|
||||
|
||||
def _build_interrupt_graph() -> Any:
|
||||
def ask(state: _State) -> _State:
|
||||
answer = interrupt("Provide value")
|
||||
return {"answer": answer}
|
||||
|
||||
builder = StateGraph(_State)
|
||||
builder.add_node("ask", ask)
|
||||
builder.add_edge(START, "ask")
|
||||
return builder.compile(checkpointer=InMemorySaver())
|
||||
|
||||
|
||||
def test_graph_callbacks_interrupt_and_resume_sync() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
handler = _GraphEventHandler()
|
||||
langchain_handler = _LangChainCustomEventHandler()
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-sync"},
|
||||
"callbacks": [langchain_handler, handler],
|
||||
}
|
||||
|
||||
first = graph.invoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
|
||||
assert len(handler.interrupt_events) == 1
|
||||
assert handler.interrupt_events[0].interrupts
|
||||
assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
|
||||
assert handler.interrupt_events[0].checkpoint_ns == ()
|
||||
assert langchain_handler.events == []
|
||||
|
||||
handler.resume_events.clear()
|
||||
resumed = graph.invoke(Command(resume="done"), config)
|
||||
assert resumed == {"answer": "done"}
|
||||
|
||||
assert len(handler.resume_events) == 1
|
||||
assert handler.resume_events[0].checkpoint_ns == ()
|
||||
assert langchain_handler.events == []
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_graph_callbacks_interrupt_and_resume_async() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
handler = _GraphEventHandler()
|
||||
langchain_handler = _LangChainCustomEventHandler()
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-async"},
|
||||
"callbacks": [langchain_handler, handler],
|
||||
}
|
||||
|
||||
first = await graph.ainvoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
|
||||
assert len(handler.interrupt_events) == 1
|
||||
assert handler.interrupt_events[0].interrupts
|
||||
assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
|
||||
assert handler.interrupt_events[0].checkpoint_ns == ()
|
||||
assert langchain_handler.events == []
|
||||
|
||||
handler.resume_events.clear()
|
||||
resumed = await graph.ainvoke(Command(resume="done"), config)
|
||||
assert resumed == {"answer": "done"}
|
||||
|
||||
assert len(handler.resume_events) == 1
|
||||
assert handler.resume_events[0].checkpoint_ns == ()
|
||||
assert langchain_handler.events == []
|
||||
|
||||
|
||||
def test_graph_callbacks_continue_when_interrupt_handler_raises_sync() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
raising_handler = _RaisingGraphEventHandler(raise_on_interrupt=True)
|
||||
recording_handler = _GraphEventHandler()
|
||||
|
||||
first = graph.invoke(
|
||||
{"answer": None},
|
||||
{
|
||||
"configurable": {"thread_id": "graph-callback-sync-raises"},
|
||||
"callbacks": [raising_handler, recording_handler],
|
||||
},
|
||||
)
|
||||
|
||||
assert "__interrupt__" in first
|
||||
assert len(recording_handler.interrupt_events) == 1
|
||||
|
||||
|
||||
def test_graph_callbacks_continue_when_resume_handler_raises_sync() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
raising_handler = _RaisingGraphEventHandler(raise_on_resume=True)
|
||||
recording_handler = _GraphEventHandler()
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-sync-raises-resume"},
|
||||
"callbacks": [raising_handler, recording_handler],
|
||||
}
|
||||
|
||||
first = graph.invoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
|
||||
resumed = graph.invoke(Command(resume="done"), config)
|
||||
assert resumed == {"answer": "done"}
|
||||
assert len(recording_handler.resume_events) == 1
|
||||
|
||||
|
||||
def test_graph_callbacks_raise_error_propagates_sync() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
raising_handler = _RaisingGraphEventHandler(
|
||||
raise_on_interrupt=True,
|
||||
raise_error=True,
|
||||
)
|
||||
|
||||
with pytest.raises(ValueError, match="boom-interrupt"):
|
||||
graph.invoke(
|
||||
{"answer": None},
|
||||
{
|
||||
"configurable": {"thread_id": "graph-callback-sync-raise-error"},
|
||||
"callbacks": [raising_handler],
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_graph_callbacks_continue_when_handler_raises_async() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
raising_interrupt_handler = _AsyncRaisingGraphEventHandler(raise_on_interrupt=True)
|
||||
recording_handler = _GraphEventHandler()
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-async-raises-interrupt"},
|
||||
"callbacks": [raising_interrupt_handler, recording_handler],
|
||||
}
|
||||
|
||||
first = await graph.ainvoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
assert len(recording_handler.interrupt_events) == 1
|
||||
|
||||
graph = _build_interrupt_graph()
|
||||
raising_resume_handler = _AsyncRaisingGraphEventHandler(raise_on_resume=True)
|
||||
recording_handler = _GraphEventHandler()
|
||||
config = {
|
||||
"configurable": {"thread_id": "graph-callback-async-raises-resume"},
|
||||
"callbacks": [raising_resume_handler, recording_handler],
|
||||
}
|
||||
|
||||
first = await graph.ainvoke({"answer": None}, config)
|
||||
assert "__interrupt__" in first
|
||||
resumed = await graph.ainvoke(Command(resume="done"), config)
|
||||
assert resumed == {"answer": "done"}
|
||||
assert len(recording_handler.resume_events) == 1
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_graph_callbacks_raise_error_propagates_async() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
raising_handler = _AsyncRaisingGraphEventHandler(
|
||||
raise_on_interrupt=True,
|
||||
raise_error=True,
|
||||
)
|
||||
|
||||
with pytest.raises(ValueError, match="boom-interrupt"):
|
||||
await graph.ainvoke(
|
||||
{"answer": None},
|
||||
{
|
||||
"configurable": {"thread_id": "graph-callback-async-raise-error"},
|
||||
"callbacks": [raising_handler],
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
def test_graph_callbacks_accept_base_callback_manager() -> None:
|
||||
graph = _build_interrupt_graph()
|
||||
graph_handler = _GraphEventHandler()
|
||||
custom_handler = _LangChainCustomEventHandler()
|
||||
manager = CallbackManager.configure(inheritable_callbacks=[custom_handler])
|
||||
manager.add_handler(graph_handler)
|
||||
|
||||
first = graph.invoke(
|
||||
{"answer": None},
|
||||
{
|
||||
"configurable": {"thread_id": "graph-callback-base-manager"},
|
||||
"callbacks": manager,
|
||||
},
|
||||
)
|
||||
|
||||
assert "__interrupt__" in first
|
||||
assert len(graph_handler.interrupt_events) == 1
|
||||
@@ -1396,7 +1396,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
|
||||
"langgraph_path": (PULL, "agent"),
|
||||
"langgraph_checkpoint_ns": AnyStr("agent:"),
|
||||
"checkpoint_ns": AnyStr("agent:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "fakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -1459,7 +1458,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
|
||||
"langgraph_path": (PULL, "agent"),
|
||||
"langgraph_checkpoint_ns": AnyStr("agent:"),
|
||||
"checkpoint_ns": AnyStr("agent:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "fakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -1512,7 +1510,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
|
||||
"langgraph_path": (PULL, "agent"),
|
||||
"langgraph_checkpoint_ns": AnyStr("agent:"),
|
||||
"checkpoint_ns": AnyStr("agent:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "fakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -6884,7 +6881,6 @@ def test_weather_subgraph(
|
||||
"langgraph_path": ("__pregel_pull", "router_node"),
|
||||
"langgraph_checkpoint_ns": AnyStr("router_node:"),
|
||||
"checkpoint_ns": AnyStr("router_node:"),
|
||||
"_type": "fake-messages-list-chat-model",
|
||||
"ls_provider": "fakemessageslistchatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -6912,7 +6908,6 @@ def test_weather_subgraph(
|
||||
"langgraph_path": ("__pregel_pull", "model_node"),
|
||||
"langgraph_checkpoint_ns": AnyStr("weather_graph:"),
|
||||
"checkpoint_ns": AnyStr("weather_graph:"),
|
||||
"_type": "fake-messages-list-chat-model",
|
||||
"ls_provider": "fakemessageslistchatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -6949,7 +6944,6 @@ def test_weather_subgraph(
|
||||
"langgraph_path": ("__pregel_pull", "router_node"),
|
||||
"langgraph_checkpoint_ns": AnyStr("router_node:"),
|
||||
"checkpoint_ns": AnyStr("router_node:"),
|
||||
"_type": "fake-messages-list-chat-model",
|
||||
"ls_provider": "fakemessageslistchatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
|
||||
@@ -1147,7 +1147,6 @@ async def test_prebuilt_tool_chat() -> None:
|
||||
"langgraph_path": (PULL, "agent"),
|
||||
"langgraph_checkpoint_ns": AnyStr("agent:"),
|
||||
"checkpoint_ns": AnyStr("agent:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "fakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -1210,7 +1209,6 @@ async def test_prebuilt_tool_chat() -> None:
|
||||
"langgraph_path": (PULL, "agent"),
|
||||
"langgraph_checkpoint_ns": AnyStr("agent:"),
|
||||
"checkpoint_ns": AnyStr("agent:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "fakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -1263,7 +1261,6 @@ async def test_prebuilt_tool_chat() -> None:
|
||||
"langgraph_path": (PULL, "agent"),
|
||||
"langgraph_checkpoint_ns": AnyStr("agent:"),
|
||||
"checkpoint_ns": AnyStr("agent:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "fakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -3981,7 +3978,6 @@ async def test_weather_subgraph(
|
||||
"langgraph_path": ("__pregel_pull", "router_node"),
|
||||
"langgraph_checkpoint_ns": AnyStr("router_node:"),
|
||||
"checkpoint_ns": AnyStr("router_node:"),
|
||||
"_type": "fake-messages-list-chat-model",
|
||||
"ls_provider": "fakemessageslistchatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -4009,7 +4005,6 @@ async def test_weather_subgraph(
|
||||
"langgraph_path": ("__pregel_pull", "model_node"),
|
||||
"langgraph_checkpoint_ns": AnyStr("weather_graph:"),
|
||||
"checkpoint_ns": AnyStr("weather_graph:"),
|
||||
"_type": "fake-messages-list-chat-model",
|
||||
"ls_provider": "fakemessageslistchatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -4046,7 +4041,6 @@ async def test_weather_subgraph(
|
||||
"langgraph_path": ("__pregel_pull", "router_node"),
|
||||
"langgraph_checkpoint_ns": AnyStr("router_node:"),
|
||||
"checkpoint_ns": AnyStr("router_node:"),
|
||||
"_type": "fake-messages-list-chat-model",
|
||||
"ls_provider": "fakemessageslistchatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
|
||||
@@ -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",
|
||||
@@ -6269,7 +6271,7 @@ def test_sync_streaming_with_functional_api() -> None:
|
||||
@task()
|
||||
def slow() -> dict:
|
||||
time.sleep(time_delay) # Simulate a delay of 10 ms
|
||||
return {"tic": time.time()}
|
||||
return {"tic": time.monotonic()}
|
||||
|
||||
@entrypoint()
|
||||
def graph(inputs: dict) -> list:
|
||||
@@ -6282,7 +6284,7 @@ def test_sync_streaming_with_functional_api() -> None:
|
||||
for chunk in graph.stream({}):
|
||||
if "slow" not in chunk: # We'll just look at the updates from `slow`
|
||||
continue
|
||||
arrival_times.append(time.time())
|
||||
arrival_times.append(time.monotonic())
|
||||
|
||||
assert len(arrival_times) == 2
|
||||
delta = arrival_times[1] - arrival_times[0]
|
||||
@@ -6891,7 +6893,6 @@ def test_tags_stream_mode_messages() -> None:
|
||||
"langgraph_path": ("__pregel_pull", "call_model"),
|
||||
"langgraph_checkpoint_ns": AnyStr("call_model:"),
|
||||
"checkpoint_ns": AnyStr("call_model:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "genericfakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -6901,6 +6902,60 @@ def test_tags_stream_mode_messages() -> None:
|
||||
]
|
||||
|
||||
|
||||
def test_configurable_propagates_to_stream_metadata() -> None:
|
||||
"""Regression: thread_id, run_id, assistant_id, graph_id,
|
||||
and langgraph_auth_user_id from configurable must appear
|
||||
in stream_mode='messages' metadata."""
|
||||
|
||||
def my_node(state):
|
||||
return {"messages": HumanMessage(content="hello")}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("my_node", my_node)
|
||||
.add_edge(START, "my_node")
|
||||
.compile()
|
||||
)
|
||||
|
||||
config = {
|
||||
"configurable": {
|
||||
"thread_id": "th-123",
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"user_id": "uid-1",
|
||||
"cron_id": "cron-1",
|
||||
"langgraph_auth_user_id": "user-1",
|
||||
# these should NOT be propagated into metadata
|
||||
"some_api_key": "secret",
|
||||
"custom_setting": {"nested": True},
|
||||
},
|
||||
}
|
||||
results = list(graph.stream({"messages": []}, config, stream_mode="messages"))
|
||||
assert len(results) == 1
|
||||
_, metadata = results[0]
|
||||
# propagated keys
|
||||
assert metadata["thread_id"] == "th-123"
|
||||
assert metadata["checkpoint_id"] == "ckpt-1"
|
||||
assert metadata["checkpoint_ns"] == "ns-1"
|
||||
assert metadata["task_id"] == "task-1"
|
||||
assert metadata["run_id"] == "run-456"
|
||||
assert metadata["assistant_id"] == "asst-789"
|
||||
assert metadata["graph_id"] == "graph-0"
|
||||
# These are only present in trace metadata by default as of langgraph 1.2
|
||||
# assert metadata["model"] == "gpt-4o"
|
||||
# assert metadata["user_id"] == "uid-1"
|
||||
# assert metadata["cron_id"] == "cron-1"
|
||||
# assert metadata["langgraph_auth_user_id"] == "user-1"
|
||||
# non-allowlisted keys must not appear
|
||||
assert "some_api_key" not in metadata
|
||||
assert "custom_setting" not in metadata
|
||||
|
||||
|
||||
def test_stream_mode_messages_command() -> None:
|
||||
from langchain_core.messages import HumanMessage
|
||||
|
||||
|
||||
@@ -20,6 +20,7 @@ from uuid import UUID
|
||||
|
||||
import pytest
|
||||
from langchain_core.language_models import GenericFakeChatModel
|
||||
from langchain_core.messages import HumanMessage
|
||||
from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnablePassthrough
|
||||
from langchain_core.utils.aiter import aclosing
|
||||
from langgraph.cache.base import BaseCache
|
||||
@@ -7541,7 +7542,6 @@ async def test_tags_stream_mode_messages() -> None:
|
||||
"langgraph_path": ("__pregel_pull", "call_model"),
|
||||
"langgraph_checkpoint_ns": AnyStr("call_model:"),
|
||||
"checkpoint_ns": AnyStr("call_model:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "genericfakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -7551,6 +7551,67 @@ async def test_tags_stream_mode_messages() -> None:
|
||||
]
|
||||
|
||||
|
||||
async def test_configurable_propagates_to_stream_metadata() -> None:
|
||||
"""Regression: thread_id, run_id, assistant_id, graph_id,
|
||||
and langgraph_auth_user_id from configurable must appear
|
||||
in stream_mode='messages' metadata."""
|
||||
|
||||
def my_node(state):
|
||||
return {"messages": HumanMessage(content="hello")}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("my_node", my_node)
|
||||
.add_edge(START, "my_node")
|
||||
.compile()
|
||||
)
|
||||
|
||||
config = {
|
||||
"configurable": {
|
||||
"thread_id": "th-123",
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"user_id": "uid-1",
|
||||
"cron_id": "cron-1",
|
||||
"langgraph_auth_user_id": "user-1",
|
||||
# these should NOT be propagated into metadata
|
||||
"some_api_key": "secret",
|
||||
"custom_setting": {"nested": True},
|
||||
},
|
||||
}
|
||||
results = [
|
||||
chunk
|
||||
async for chunk in graph.astream(
|
||||
{"messages": []}, config, stream_mode="messages"
|
||||
)
|
||||
]
|
||||
assert len(results) == 1
|
||||
_, metadata = results[0]
|
||||
# propagated keys
|
||||
assert metadata["thread_id"] == "th-123"
|
||||
assert metadata["checkpoint_id"] == "ckpt-1"
|
||||
assert metadata["checkpoint_ns"] == "ns-1"
|
||||
assert metadata["task_id"] == "task-1"
|
||||
assert metadata["run_id"] == "run-456"
|
||||
assert metadata["assistant_id"] == "asst-789"
|
||||
assert metadata["graph_id"] == "graph-0"
|
||||
|
||||
# These will only be traced as of langgraph 1.2 and not present by default in
|
||||
# metadata
|
||||
# assert metadata["model"] == "gpt-4o"
|
||||
# assert metadata["user_id"] == "uid-1"
|
||||
# assert metadata["cron_id"] == "cron-1"
|
||||
# assert metadata["langgraph_auth_user_id"] == "user-1"
|
||||
# non-allowlisted keys must not appear
|
||||
assert "some_api_key" not in metadata
|
||||
assert "custom_setting" not in metadata
|
||||
|
||||
|
||||
async def test_stream_mode_messages_command() -> None:
|
||||
from langchain_core.messages import HumanMessage
|
||||
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -501,13 +501,13 @@ async def test_execution_info_populated_in_graph_async() -> None:
|
||||
assert isinstance(info.node_first_attempt_time, float)
|
||||
|
||||
|
||||
def test_server_info_from_metadata() -> None:
|
||||
"""server_info is built from assistant_id/graph_id in config metadata."""
|
||||
def test_server_info_from_configurable() -> None:
|
||||
"""server_info is built from assistant_id/graph_id in config configurable."""
|
||||
captured: dict[str, Any] = {}
|
||||
compiled = _make_capture_graph(captured)
|
||||
compiled.invoke(
|
||||
{"message": "hi"},
|
||||
config={"metadata": {"assistant_id": "asst-abc", "graph_id": "my-graph"}},
|
||||
config={"configurable": {"assistant_id": "asst-abc", "graph_id": "my-graph"}},
|
||||
)
|
||||
si = captured["server_info"]
|
||||
assert si is not None
|
||||
@@ -516,8 +516,8 @@ def test_server_info_from_metadata() -> None:
|
||||
assert si.user is None
|
||||
|
||||
|
||||
def test_server_info_none_without_metadata() -> None:
|
||||
"""server_info is None when no assistant_id/graph_id in metadata."""
|
||||
def test_server_info_none_without_configurable() -> None:
|
||||
"""server_info is None when no assistant_id/graph_id in configurable."""
|
||||
captured: dict[str, Any] = {}
|
||||
compiled = _make_capture_graph(captured)
|
||||
compiled.invoke({"message": "hi"})
|
||||
@@ -579,8 +579,11 @@ def test_server_info_user_from_auth_user() -> None:
|
||||
compiled.invoke(
|
||||
{"message": "hi"},
|
||||
config={
|
||||
"configurable": {"langgraph_auth_user": proxy},
|
||||
"metadata": {"assistant_id": "asst-proxy", "graph_id": "graph-proxy"},
|
||||
"configurable": {
|
||||
"langgraph_auth_user": proxy,
|
||||
"assistant_id": "asst-proxy",
|
||||
"graph_id": "graph-proxy",
|
||||
},
|
||||
},
|
||||
)
|
||||
si = captured["server_info"]
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,628 @@
|
||||
"""Tests for subgraph lifecycle events and the SubgraphTransformer."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import operator
|
||||
import time
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.constants import END, START
|
||||
from langgraph.errors import GraphInterrupt
|
||||
from langgraph.graph import StateGraph
|
||||
from langgraph.stream._event_log import EventLog
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from langgraph.stream._types import ProtocolEvent
|
||||
from langgraph.stream.transformers import (
|
||||
MessagesTransformer,
|
||||
SubgraphRunStream,
|
||||
SubgraphTransformer,
|
||||
ToolLifecycleTransformer,
|
||||
ValuesTransformer,
|
||||
)
|
||||
from langgraph.types import interrupt
|
||||
|
||||
TS = int(time.time() * 1000)
|
||||
|
||||
|
||||
def _lifecycle(
|
||||
event: str,
|
||||
*,
|
||||
namespace: list[str] | None = None,
|
||||
graph_name: str | None = None,
|
||||
cause: dict[str, Any] | None = None,
|
||||
error: str | None = None,
|
||||
) -> ProtocolEvent:
|
||||
data: dict[str, Any] = {"event": event}
|
||||
if graph_name is not None:
|
||||
data["graph_name"] = graph_name
|
||||
if cause is not None:
|
||||
data["cause"] = cause
|
||||
if error is not None:
|
||||
data["error"] = error
|
||||
return {
|
||||
"type": "event",
|
||||
"method": "lifecycle",
|
||||
"params": {
|
||||
"namespace": namespace or [],
|
||||
"timestamp": TS,
|
||||
"data": data,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def _values(payload: dict[str, Any], *, namespace: list[str]) -> ProtocolEvent:
|
||||
return {
|
||||
"type": "event",
|
||||
"method": "values",
|
||||
"params": {
|
||||
"namespace": namespace,
|
||||
"timestamp": TS,
|
||||
"data": payload,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def _subscribe(log: EventLog) -> None:
|
||||
"""Flip `_subscribed = True` so pushes retain items for test inspection."""
|
||||
log._subscribed = True
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Unit tests: feed events directly into the transformer
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
_FACTORIES = [
|
||||
ValuesTransformer,
|
||||
ToolLifecycleTransformer,
|
||||
MessagesTransformer,
|
||||
SubgraphTransformer,
|
||||
]
|
||||
|
||||
|
||||
def _handle_values_items(handle: SubgraphRunStream) -> list:
|
||||
return list(handle._mux.extensions["values"]._items) # type: ignore[attr-defined]
|
||||
|
||||
|
||||
def _handle_subgraphs_items(handle: SubgraphRunStream) -> list:
|
||||
return list(handle._mux.extensions["subgraphs"]._items) # type: ignore[attr-defined]
|
||||
|
||||
|
||||
def _pre_subscribe_handle(handle: SubgraphRunStream) -> None:
|
||||
"""Flip `_subscribed` on every EventLog inside the handle's mini-mux.
|
||||
|
||||
The mini-mux is built via `make_child` with the full factory list,
|
||||
so values / messages / subgraphs logs all exist as projections.
|
||||
Tests that feed events directly need them subscribed so pushes
|
||||
retain items in the deque for `_items` inspection.
|
||||
"""
|
||||
for value in handle._mux.extensions.values():
|
||||
if isinstance(value, EventLog):
|
||||
_subscribe(value)
|
||||
|
||||
|
||||
class TestSubgraphTransformerUnit:
|
||||
def _mux(self) -> tuple[StreamMux, SubgraphTransformer]:
|
||||
mux = StreamMux(factories=_FACTORIES, is_async=False)
|
||||
transformer = mux.transformer_by_key("subgraphs")
|
||||
assert isinstance(transformer, SubgraphTransformer)
|
||||
_subscribe(transformer._root_log)
|
||||
return mux, transformer
|
||||
|
||||
def _handle(self, transformer: SubgraphTransformer) -> SubgraphRunStream:
|
||||
"""Return the single root handle after pushing one lifecycle started."""
|
||||
(handle,) = list(transformer._root_log._items)
|
||||
return handle
|
||||
|
||||
def test_root_started_is_ignored(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
mux.push(_lifecycle("started", graph_name="root"))
|
||||
assert list(transformer._root_log._items) == []
|
||||
assert transformer._by_ns == {}
|
||||
|
||||
def test_child_started_yields_handle(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
mux.push(
|
||||
_lifecycle(
|
||||
"started",
|
||||
namespace=["task_a:child"],
|
||||
graph_name="child",
|
||||
cause={"type": "toolCall", "tool_call_id": "call_abc"},
|
||||
)
|
||||
)
|
||||
|
||||
handle = self._handle(transformer)
|
||||
assert handle.path == ("task_a:child",)
|
||||
assert handle.graph_name == "child"
|
||||
assert handle.cause == {"type": "toolCall", "tool_call_id": "call_abc"}
|
||||
assert handle.status == "started"
|
||||
|
||||
def test_tool_started_is_synthesized_before_tool_caused_lifecycle(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
events = iter(mux._events)
|
||||
mux.push(
|
||||
_values(
|
||||
{
|
||||
"messages": [
|
||||
{
|
||||
"tool_calls": [
|
||||
{
|
||||
"id": "call_abc",
|
||||
"name": "task",
|
||||
"args": {"subagent_type": "researcher"},
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
namespace=[],
|
||||
)
|
||||
)
|
||||
mux.push(
|
||||
_lifecycle(
|
||||
"started",
|
||||
namespace=["task:child"],
|
||||
graph_name="child",
|
||||
cause={"type": "toolCall", "tool_call_id": "call_abc"},
|
||||
)
|
||||
)
|
||||
|
||||
mux.close()
|
||||
tool_started, lifecycle_started = list(events)[1:3]
|
||||
assert tool_started["method"] == "tools"
|
||||
assert tool_started["params"]["namespace"] == []
|
||||
assert tool_started["params"]["data"] == {
|
||||
"event": "tool-started",
|
||||
"tool_call_id": "call_abc",
|
||||
"tool_name": "task",
|
||||
"input": {"subagent_type": "researcher"},
|
||||
}
|
||||
assert lifecycle_started["method"] == "lifecycle"
|
||||
assert tool_started["seq"] < lifecycle_started["seq"]
|
||||
assert self._handle(transformer).path == ("task:child",)
|
||||
|
||||
def test_core_golden_trace_uses_js_wire_shape_and_ordering(self) -> None:
|
||||
mux, _transformer = self._mux()
|
||||
events = iter(mux._events)
|
||||
mux.push(
|
||||
_values(
|
||||
{
|
||||
"messages": [
|
||||
{
|
||||
"tool_calls": [
|
||||
{
|
||||
"id": "call_abc",
|
||||
"name": "task",
|
||||
"args": {"subagent_type": "researcher"},
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
namespace=[],
|
||||
)
|
||||
)
|
||||
for data in (
|
||||
{"event": "message-start", "id": "msg-1", "role": "ai"},
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"index": 0,
|
||||
"content": {"type": "text", "text": "hi"},
|
||||
},
|
||||
):
|
||||
mux.push(
|
||||
{
|
||||
"type": "event",
|
||||
"method": "messages",
|
||||
"params": {
|
||||
"namespace": ["call_model:task-1"],
|
||||
"timestamp": TS,
|
||||
"data": data,
|
||||
"run_id": "run-1",
|
||||
},
|
||||
}
|
||||
)
|
||||
mux.push(
|
||||
_lifecycle(
|
||||
"started",
|
||||
namespace=["task:child"],
|
||||
graph_name="child",
|
||||
cause={"type": "toolCall", "tool_call_id": "call_abc"},
|
||||
)
|
||||
)
|
||||
mux.close()
|
||||
|
||||
trace = [
|
||||
(event["method"], event["params"]["namespace"], event["params"]["data"])
|
||||
for event in events
|
||||
]
|
||||
assert trace == [
|
||||
(
|
||||
"values",
|
||||
[],
|
||||
{
|
||||
"messages": [
|
||||
{
|
||||
"tool_calls": [
|
||||
{
|
||||
"id": "call_abc",
|
||||
"name": "task",
|
||||
"args": {"subagent_type": "researcher"},
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
),
|
||||
(
|
||||
"messages",
|
||||
["call_model:task-1"],
|
||||
{"event": "message-start", "id": "msg-1", "role": "ai"},
|
||||
),
|
||||
(
|
||||
"messages",
|
||||
["call_model:task-1"],
|
||||
{
|
||||
"event": "content-block-start",
|
||||
"index": 0,
|
||||
"content": {"type": "text", "text": ""},
|
||||
},
|
||||
),
|
||||
(
|
||||
"messages",
|
||||
["call_model:task-1"],
|
||||
{
|
||||
"event": "content-block-delta",
|
||||
"index": 0,
|
||||
"content": {"type": "text", "text": "hi"},
|
||||
},
|
||||
),
|
||||
(
|
||||
"tools",
|
||||
[],
|
||||
{
|
||||
"event": "tool-started",
|
||||
"tool_call_id": "call_abc",
|
||||
"tool_name": "task",
|
||||
"input": {"subagent_type": "researcher"},
|
||||
},
|
||||
),
|
||||
(
|
||||
"lifecycle",
|
||||
["task:child"],
|
||||
{
|
||||
"event": "started",
|
||||
"graph_name": "child",
|
||||
"cause": {"type": "toolCall", "tool_call_id": "call_abc"},
|
||||
},
|
||||
),
|
||||
]
|
||||
|
||||
def test_status_transitions(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
mux.push(_lifecycle("started", namespace=["t:c"], graph_name="c"))
|
||||
mux.push(_lifecycle("running", namespace=["t:c"]))
|
||||
mux.push(_lifecycle("completed", namespace=["t:c"]))
|
||||
|
||||
handle = self._handle(transformer)
|
||||
assert handle.status == "completed"
|
||||
|
||||
def test_grandchild_surfaces_under_child(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
mux.push(_lifecycle("started", namespace=["t:child"], graph_name="child"))
|
||||
|
||||
child = self._handle(transformer)
|
||||
_pre_subscribe_handle(child)
|
||||
|
||||
mux.push(
|
||||
_lifecycle(
|
||||
"started",
|
||||
namespace=["t:child", "u:grand"],
|
||||
graph_name="grand",
|
||||
)
|
||||
)
|
||||
|
||||
(grand,) = _handle_subgraphs_items(child)
|
||||
assert grand.path == ("t:child", "u:grand")
|
||||
assert grand.graph_name == "grand"
|
||||
|
||||
def test_failed_stores_error(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
mux.push(_lifecycle("started", namespace=["t:c"], graph_name="c"))
|
||||
mux.push(_lifecycle("failed", namespace=["t:c"], error="boom"))
|
||||
|
||||
handle = self._handle(transformer)
|
||||
assert handle.status == "failed"
|
||||
assert handle.error == "boom"
|
||||
|
||||
def test_values_routed_into_handle(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
mux.push(_lifecycle("started", namespace=["t:c"], graph_name="c"))
|
||||
|
||||
handle = self._handle(transformer)
|
||||
_pre_subscribe_handle(handle)
|
||||
|
||||
mux.push(_values({"value": 1}, namespace=["t:c"]))
|
||||
mux.push(_values({"value": 2}, namespace=["t:c"]))
|
||||
|
||||
assert _handle_values_items(handle) == [{"value": 1}, {"value": 2}]
|
||||
assert handle.output == {"value": 2}
|
||||
|
||||
def test_root_values_not_routed(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
mux.push(_lifecycle("started", namespace=["t:c"], graph_name="c"))
|
||||
handle = self._handle(transformer)
|
||||
_pre_subscribe_handle(handle)
|
||||
|
||||
# Values event at root namespace — must not leak into child handle.
|
||||
mux.push(_values({"value": "root"}, namespace=[]))
|
||||
assert _handle_values_items(handle) == []
|
||||
|
||||
def test_finalize_closes_dangling(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
mux.push(_lifecycle("started", namespace=["t:c"], graph_name="c"))
|
||||
handle = self._handle(transformer)
|
||||
|
||||
mux.close()
|
||||
assert handle.status == "completed"
|
||||
assert handle._mux.extensions["values"]._closed
|
||||
assert handle._mux.extensions["subgraphs"]._closed
|
||||
|
||||
def test_fail_with_graph_interrupt_marks_interrupted(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
mux.push(_lifecycle("started", namespace=["t:c"], graph_name="c"))
|
||||
handle = self._handle(transformer)
|
||||
|
||||
mux.fail(GraphInterrupt())
|
||||
assert handle.status == "interrupted"
|
||||
|
||||
def test_fail_with_generic_error_marks_failed(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
mux.push(_lifecycle("started", namespace=["t:c"], graph_name="c"))
|
||||
handle = self._handle(transformer)
|
||||
|
||||
mux.fail(RuntimeError("explode"))
|
||||
assert handle.status == "failed"
|
||||
assert handle.error == "explode"
|
||||
|
||||
def test_duplicate_started_ignored(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
mux.push(_lifecycle("started", namespace=["t:c"], graph_name="c"))
|
||||
mux.push(_lifecycle("started", namespace=["t:c"], graph_name="other"))
|
||||
|
||||
handles = list(transformer._root_log._items)
|
||||
assert len(handles) == 1
|
||||
assert handles[0].graph_name == "c"
|
||||
|
||||
def test_non_lifecycle_non_values_passthrough(self) -> None:
|
||||
mux, transformer = self._mux()
|
||||
mux.push(
|
||||
{
|
||||
"type": "event",
|
||||
"method": "messages",
|
||||
"params": {
|
||||
"namespace": ["t:c"],
|
||||
"timestamp": TS,
|
||||
"data": (
|
||||
{"event": "message-start", "message_id": "m1"},
|
||||
{"run_id": "m1"},
|
||||
),
|
||||
},
|
||||
}
|
||||
)
|
||||
assert list(transformer._root_log._items) == []
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end tests via stream_v2 on real graphs
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class SimpleState(TypedDict):
|
||||
value: str
|
||||
items: Annotated[list[str], operator.add]
|
||||
|
||||
|
||||
def _build_nested_graph():
|
||||
"""Parent graph with a compiled subgraph node."""
|
||||
|
||||
def inner_node(state: SimpleState) -> dict:
|
||||
return {"value": state["value"] + "X", "items": ["x"]}
|
||||
|
||||
inner_builder = StateGraph(SimpleState)
|
||||
inner_builder.add_node("inner_node", inner_node)
|
||||
inner_builder.add_edge(START, "inner_node")
|
||||
inner_builder.add_edge("inner_node", END)
|
||||
inner = inner_builder.compile()
|
||||
|
||||
def outer_node(state: SimpleState) -> dict:
|
||||
return {"value": state["value"] + "Y", "items": ["y"]}
|
||||
|
||||
outer_builder = StateGraph(SimpleState)
|
||||
outer_builder.add_node("outer_node", outer_node)
|
||||
outer_builder.add_node("sub", inner)
|
||||
outer_builder.add_edge(START, "outer_node")
|
||||
outer_builder.add_edge("outer_node", "sub")
|
||||
outer_builder.add_edge("sub", END)
|
||||
return outer_builder.compile()
|
||||
|
||||
|
||||
class TestSubgraphTransformerEndToEnd:
|
||||
def test_flat_graph_yields_no_subgraphs(self) -> None:
|
||||
builder = StateGraph(SimpleState)
|
||||
builder.add_node("n", lambda s: {"value": s["value"] + "!", "items": ["!"]})
|
||||
builder.add_edge(START, "n")
|
||||
builder.add_edge("n", END)
|
||||
graph = builder.compile()
|
||||
|
||||
run = graph.stream_v2({"value": "", "items": []})
|
||||
|
||||
collected: list[SubgraphRunStream] = []
|
||||
for sub in run.subgraphs:
|
||||
collected.append(sub)
|
||||
assert collected == []
|
||||
# Output still resolves.
|
||||
assert run.output is not None
|
||||
|
||||
def test_nested_graph_yields_one_child(self) -> None:
|
||||
graph = _build_nested_graph()
|
||||
run = graph.stream_v2({"value": "", "items": []})
|
||||
|
||||
collected: list[SubgraphRunStream] = []
|
||||
for sub in run.subgraphs:
|
||||
collected.append(sub)
|
||||
|
||||
assert len(collected) == 1
|
||||
child = collected[0]
|
||||
assert len(child.path) == 1
|
||||
assert child.path[0].startswith("sub:")
|
||||
assert child.status == "completed"
|
||||
|
||||
def test_error_in_subgraph_fails_child(self) -> None:
|
||||
def boom(state: SimpleState) -> dict:
|
||||
raise RuntimeError("subgraph_failed")
|
||||
|
||||
inner_builder = StateGraph(SimpleState)
|
||||
inner_builder.add_node("inner", boom)
|
||||
inner_builder.add_edge(START, "inner")
|
||||
inner_builder.add_edge("inner", END)
|
||||
inner = inner_builder.compile()
|
||||
|
||||
outer_builder = StateGraph(SimpleState)
|
||||
outer_builder.add_node("sub", inner)
|
||||
outer_builder.add_edge(START, "sub")
|
||||
outer_builder.add_edge("sub", END)
|
||||
graph = outer_builder.compile()
|
||||
|
||||
run = graph.stream_v2({"value": "", "items": []})
|
||||
|
||||
collected: list[SubgraphRunStream] = []
|
||||
with pytest.raises(RuntimeError):
|
||||
for sub in run.subgraphs:
|
||||
collected.append(sub)
|
||||
|
||||
assert len(collected) == 1
|
||||
assert collected[0].status == "failed"
|
||||
|
||||
|
||||
class TestSubgraphTransformerAsyncEndToEnd:
|
||||
@pytest.mark.anyio
|
||||
async def test_nested_graph_yields_one_child(self) -> None:
|
||||
async def inner(state: SimpleState) -> dict:
|
||||
return {"value": state["value"] + "X", "items": ["x"]}
|
||||
|
||||
inner_builder = StateGraph(SimpleState)
|
||||
inner_builder.add_node("inner", inner)
|
||||
inner_builder.add_edge(START, "inner")
|
||||
inner_builder.add_edge("inner", END)
|
||||
inner_graph = inner_builder.compile()
|
||||
|
||||
outer_builder = StateGraph(SimpleState)
|
||||
outer_builder.add_node("sub", inner_graph)
|
||||
outer_builder.add_edge(START, "sub")
|
||||
outer_builder.add_edge("sub", END)
|
||||
graph = outer_builder.compile()
|
||||
|
||||
run = await graph.astream_v2({"value": "", "items": []})
|
||||
|
||||
collected: list[SubgraphRunStream] = []
|
||||
async for sub in run.subgraphs:
|
||||
collected.append(sub)
|
||||
|
||||
assert len(collected) == 1
|
||||
child = collected[0]
|
||||
assert child.status == "completed"
|
||||
|
||||
|
||||
class TestSubgraphCause:
|
||||
"""Pregel core emits no `cause`; product transformers populate it."""
|
||||
|
||||
def test_cause_not_populated_by_pregel(self) -> None:
|
||||
graph = _build_nested_graph()
|
||||
run = graph.stream_v2({"value": "", "items": []})
|
||||
|
||||
collected: list[SubgraphRunStream] = list(run.subgraphs)
|
||||
assert len(collected) == 1
|
||||
child = collected[0]
|
||||
|
||||
# The child's single-segment path still encodes `node_name:task_id`
|
||||
# (that's pregel's internal namespace format), but `cause` is now
|
||||
# product-agnostic and must be populated by a stream transformer,
|
||||
# not by pregel itself.
|
||||
assert ":" in child.path[0]
|
||||
node_name, _, task_id = child.path[0].partition(":")
|
||||
assert node_name == "sub"
|
||||
assert task_id # non-empty
|
||||
assert child.cause is None
|
||||
|
||||
|
||||
class TestSubgraphInterrupt:
|
||||
"""Interrupts raised inside a subgraph surface as status=interrupted."""
|
||||
|
||||
def _build_interrupt_subgraph(self):
|
||||
def inner_node(state: SimpleState) -> dict:
|
||||
interrupt("need approval")
|
||||
return {"value": state["value"] + "X", "items": ["x"]}
|
||||
|
||||
inner_builder = StateGraph(SimpleState)
|
||||
inner_builder.add_node("inner_node", inner_node)
|
||||
inner_builder.add_edge(START, "inner_node")
|
||||
inner_builder.add_edge("inner_node", END)
|
||||
inner = inner_builder.compile()
|
||||
|
||||
outer_builder = StateGraph(SimpleState)
|
||||
outer_builder.add_node("sub", inner)
|
||||
outer_builder.add_edge(START, "sub")
|
||||
outer_builder.add_edge("sub", END)
|
||||
return outer_builder.compile(checkpointer=InMemorySaver())
|
||||
|
||||
def test_interrupt_in_subgraph_marks_handle_interrupted(self) -> None:
|
||||
graph = self._build_interrupt_subgraph()
|
||||
run = graph.stream_v2(
|
||||
{"value": "", "items": []},
|
||||
config={"configurable": {"thread_id": "t1"}},
|
||||
)
|
||||
|
||||
collected: list[SubgraphRunStream] = list(run.subgraphs)
|
||||
|
||||
assert run.interrupted is True
|
||||
assert len(collected) == 1
|
||||
assert collected[0].status == "interrupted"
|
||||
|
||||
|
||||
class TestSubgraphNameCollision:
|
||||
"""The subgraph's compiled `name` equaling its node name is detected.
|
||||
|
||||
Primary detector `name != langgraph_node` fails here; the
|
||||
parent_run_id fallback in `_is_nested_pregel_start` is what keeps
|
||||
the subgraph visible.
|
||||
"""
|
||||
|
||||
def test_name_equals_node_name_still_detected(self) -> None:
|
||||
def inner_node(state: SimpleState) -> dict:
|
||||
return {"value": state["value"] + "X", "items": ["x"]}
|
||||
|
||||
inner_builder = StateGraph(SimpleState)
|
||||
inner_builder.add_node("inner_node", inner_node)
|
||||
inner_builder.add_edge(START, "inner_node")
|
||||
inner_builder.add_edge("inner_node", END)
|
||||
# Compile with the same name as the node it will be registered as.
|
||||
inner = inner_builder.compile(name="sub")
|
||||
|
||||
outer_builder = StateGraph(SimpleState)
|
||||
outer_builder.add_node("sub", inner)
|
||||
outer_builder.add_edge(START, "sub")
|
||||
outer_builder.add_edge("sub", END)
|
||||
graph = outer_builder.compile()
|
||||
|
||||
run = graph.stream_v2({"value": "", "items": []})
|
||||
|
||||
collected: list[SubgraphRunStream] = list(run.subgraphs)
|
||||
assert len(collected) == 1
|
||||
child = collected[0]
|
||||
assert child.graph_name == "sub"
|
||||
assert child.status == "completed"
|
||||
@@ -0,0 +1,290 @@
|
||||
"""Tests for StreamToolCallHandler and emit_tool_output_delta.
|
||||
|
||||
These tests exercise the langgraph-core piece in isolation — the prebuilt
|
||||
`ToolCallTransformer` has its own test file. Here we feed real graphs
|
||||
through `Pregel.stream(stream_mode=["tools", ...])` and inspect the raw
|
||||
`(ns, mode, payload)` tuples on the `tools` channel.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
from langchain_core.messages import AIMessage
|
||||
from langchain_core.tools import tool
|
||||
from langgraph.prebuilt import ToolNode
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.config import emit_tool_output_delta
|
||||
from langgraph.constants import END, START
|
||||
from langgraph.graph import StateGraph
|
||||
from langgraph.graph.message import add_messages
|
||||
|
||||
|
||||
class _State(TypedDict):
|
||||
messages: Annotated[list, add_messages]
|
||||
|
||||
|
||||
def _caller_sync(tool_name: str, tool_args: dict[str, Any], tc_id: str = "tc1"):
|
||||
def caller(state: _State) -> dict:
|
||||
return {
|
||||
"messages": [
|
||||
AIMessage(
|
||||
content="",
|
||||
tool_calls=[{"name": tool_name, "args": tool_args, "id": tc_id}],
|
||||
)
|
||||
]
|
||||
}
|
||||
|
||||
return caller
|
||||
|
||||
|
||||
def _caller_async(tool_name: str, tool_args: dict[str, Any], tc_id: str = "tc1"):
|
||||
async def caller(state: _State) -> dict:
|
||||
return {
|
||||
"messages": [
|
||||
AIMessage(
|
||||
content="",
|
||||
tool_calls=[{"name": tool_name, "args": tool_args, "id": tc_id}],
|
||||
)
|
||||
]
|
||||
}
|
||||
|
||||
return caller
|
||||
|
||||
|
||||
def _build_graph(caller, tools) -> Any:
|
||||
sg = StateGraph(_State)
|
||||
sg.add_node("caller", caller)
|
||||
sg.add_node("tools", ToolNode(tools))
|
||||
sg.add_edge(START, "caller")
|
||||
sg.add_edge("caller", "tools")
|
||||
sg.add_edge("tools", END)
|
||||
return sg.compile()
|
||||
|
||||
|
||||
def _tool_events(stream) -> list[tuple[tuple[str, ...], dict]]:
|
||||
"""Collect `(ns, payload)` for every `tools`-mode chunk."""
|
||||
out: list[tuple[tuple[str, ...], dict]] = []
|
||||
for ns, mode, payload in stream:
|
||||
if mode == "tools":
|
||||
out.append((tuple(ns), payload))
|
||||
return out
|
||||
|
||||
|
||||
class TestSyncGraphSyncTool:
|
||||
def test_started_finished_cycle(self) -> None:
|
||||
@tool
|
||||
def echo(text: str) -> str:
|
||||
"""echo."""
|
||||
return f"echoed:{text}"
|
||||
|
||||
graph = _build_graph(_caller_sync("echo", {"text": "hi"}), [echo])
|
||||
events = _tool_events(
|
||||
graph.stream(
|
||||
{"messages": []},
|
||||
stream_mode=["tools"],
|
||||
subgraphs=True,
|
||||
)
|
||||
)
|
||||
|
||||
assert [p["event"] for _, p in events] == [
|
||||
"tool-started",
|
||||
"tool-finished",
|
||||
]
|
||||
assert events[0][1]["tool_call_id"] == "tc1"
|
||||
assert events[0][1]["tool_name"] == "echo"
|
||||
assert events[0][1]["input"] == {"text": "hi"}
|
||||
# ToolNode wraps the return in a ToolMessage.
|
||||
assert events[1][1]["tool_call_id"] == "tc1"
|
||||
|
||||
def test_emit_tool_output_delta_produces_delta_events(self) -> None:
|
||||
@tool
|
||||
def streaming_echo(text: str) -> str:
|
||||
"""stream chunks."""
|
||||
for chunk in ("a", "b", "c"):
|
||||
emit_tool_output_delta(chunk)
|
||||
return text
|
||||
|
||||
graph = _build_graph(
|
||||
_caller_sync("streaming_echo", {"text": "x"}), [streaming_echo]
|
||||
)
|
||||
events = _tool_events(
|
||||
graph.stream(
|
||||
{"messages": []},
|
||||
stream_mode=["tools"],
|
||||
subgraphs=True,
|
||||
)
|
||||
)
|
||||
|
||||
deltas = [p["delta"] for _, p in events if p["event"] == "tool-output-delta"]
|
||||
assert deltas == ["a", "b", "c"]
|
||||
# The deltas must be bracketed by started and finished.
|
||||
ordered = [p["event"] for _, p in events]
|
||||
assert ordered[0] == "tool-started"
|
||||
assert ordered[-1] == "tool-finished"
|
||||
|
||||
def test_tool_error_event(self) -> None:
|
||||
@tool
|
||||
def boom() -> str:
|
||||
"""raises."""
|
||||
raise ValueError("nope")
|
||||
|
||||
graph = _build_graph(_caller_sync("boom", {}), [boom])
|
||||
events: list[tuple[tuple[str, ...], dict]] = []
|
||||
with pytest.raises(ValueError, match="nope"):
|
||||
for ns, mode, payload in graph.stream(
|
||||
{"messages": []},
|
||||
stream_mode=["tools"],
|
||||
subgraphs=True,
|
||||
):
|
||||
if mode == "tools":
|
||||
events.append((tuple(ns), payload))
|
||||
|
||||
kinds = [p["event"] for _, p in events]
|
||||
assert kinds == ["tool-started", "tool-error"]
|
||||
assert events[1][1]["message"] == "nope"
|
||||
|
||||
def test_emit_outside_tool_is_noop(self) -> None:
|
||||
# Called at import time (outside any tool body) — must not raise.
|
||||
emit_tool_output_delta("ignored")
|
||||
emit_tool_output_delta({"any": "payload"})
|
||||
|
||||
def test_no_events_without_tools_mode(self) -> None:
|
||||
@tool
|
||||
def echo(text: str) -> str:
|
||||
"""echo."""
|
||||
return text
|
||||
|
||||
graph = _build_graph(_caller_sync("echo", {"text": "hi"}), [echo])
|
||||
# No "tools" in stream_mode — handler is not attached and zero
|
||||
# `tools`-method events fire.
|
||||
chunks = list(
|
||||
graph.stream(
|
||||
{"messages": []},
|
||||
stream_mode=["values"],
|
||||
subgraphs=True,
|
||||
)
|
||||
)
|
||||
assert all(
|
||||
not (isinstance(c, tuple) and len(c) == 3 and c[1] == "tools")
|
||||
for c in chunks
|
||||
)
|
||||
|
||||
|
||||
class TestAsyncGraphAsyncTool:
|
||||
@pytest.mark.anyio
|
||||
async def test_async_tool_produces_events(self) -> None:
|
||||
@tool
|
||||
async def aecho(text: str) -> str:
|
||||
"""async echo."""
|
||||
emit_tool_output_delta(text)
|
||||
return f"got:{text}"
|
||||
|
||||
graph = _build_graph(_caller_async("aecho", {"text": "hi"}), [aecho])
|
||||
events: list[tuple[tuple[str, ...], dict]] = []
|
||||
async for ns, mode, payload in graph.astream(
|
||||
{"messages": []},
|
||||
stream_mode=["tools"],
|
||||
subgraphs=True,
|
||||
):
|
||||
if mode == "tools":
|
||||
events.append((tuple(ns), payload))
|
||||
|
||||
kinds = [p["event"] for _, p in events]
|
||||
assert kinds == ["tool-started", "tool-output-delta", "tool-finished"]
|
||||
assert events[1][1]["delta"] == "hi"
|
||||
|
||||
|
||||
class TestConcurrentToolCalls:
|
||||
def test_parallel_tool_calls_do_not_bleed(self) -> None:
|
||||
@tool
|
||||
def streamer(marker: str) -> str:
|
||||
"""emits marker twice."""
|
||||
emit_tool_output_delta(f"{marker}-1")
|
||||
emit_tool_output_delta(f"{marker}-2")
|
||||
return marker
|
||||
|
||||
def caller(state: _State) -> dict:
|
||||
return {
|
||||
"messages": [
|
||||
AIMessage(
|
||||
content="",
|
||||
tool_calls=[
|
||||
{"name": "streamer", "args": {"marker": "A"}, "id": "a"},
|
||||
{"name": "streamer", "args": {"marker": "B"}, "id": "b"},
|
||||
],
|
||||
)
|
||||
]
|
||||
}
|
||||
|
||||
graph = _build_graph(caller, [streamer])
|
||||
events = _tool_events(
|
||||
graph.stream(
|
||||
{"messages": []},
|
||||
stream_mode=["tools"],
|
||||
subgraphs=True,
|
||||
)
|
||||
)
|
||||
|
||||
# Group deltas by tool_call_id.
|
||||
by_id: dict[str, list[str]] = {}
|
||||
for _, p in events:
|
||||
if p["event"] == "tool-output-delta":
|
||||
by_id.setdefault(p["tool_call_id"], []).append(p["delta"])
|
||||
assert by_id["a"] == ["A-1", "A-2"]
|
||||
assert by_id["b"] == ["B-1", "B-2"]
|
||||
|
||||
|
||||
class TestSubgraphNamespacePropagation:
|
||||
def test_tool_inside_subgraph_emits_with_subgraph_ns(self) -> None:
|
||||
@tool
|
||||
def inner_tool(text: str) -> str:
|
||||
"""inner tool."""
|
||||
return text
|
||||
|
||||
def sub_caller(state: _State) -> dict:
|
||||
return {
|
||||
"messages": [
|
||||
AIMessage(
|
||||
content="",
|
||||
tool_calls=[
|
||||
{
|
||||
"name": "inner_tool",
|
||||
"args": {"text": "x"},
|
||||
"id": "tc1",
|
||||
}
|
||||
],
|
||||
)
|
||||
]
|
||||
}
|
||||
|
||||
inner = StateGraph(_State)
|
||||
inner.add_node("sub_caller", sub_caller)
|
||||
inner.add_node("sub_tools", ToolNode([inner_tool]))
|
||||
inner.add_edge(START, "sub_caller")
|
||||
inner.add_edge("sub_caller", "sub_tools")
|
||||
inner.add_edge("sub_tools", END)
|
||||
inner_graph = inner.compile()
|
||||
|
||||
outer = StateGraph(_State)
|
||||
outer.add_node("sub", inner_graph)
|
||||
outer.add_edge(START, "sub")
|
||||
outer.add_edge("sub", END)
|
||||
graph = outer.compile()
|
||||
|
||||
events = _tool_events(
|
||||
graph.stream(
|
||||
{"messages": []},
|
||||
stream_mode=["tools"],
|
||||
subgraphs=True,
|
||||
)
|
||||
)
|
||||
|
||||
# All `tools` events should carry a non-empty namespace rooted
|
||||
# at the `sub` node.
|
||||
assert events, "expected at least one tools event"
|
||||
for ns, _ in events:
|
||||
assert ns # non-empty
|
||||
assert ns[0].startswith("sub:")
|
||||
@@ -11,13 +11,19 @@ from typing import (
|
||||
TypeVar,
|
||||
Union,
|
||||
)
|
||||
from unittest.mock import patch
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
import langsmith
|
||||
import pytest
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langchain_core.tracers import LangChainTracer
|
||||
from typing_extensions import NotRequired, Required, TypedDict
|
||||
|
||||
from langgraph._internal._config import _is_not_empty, ensure_config
|
||||
from langgraph._internal._config import (
|
||||
_is_not_empty,
|
||||
ensure_config,
|
||||
get_callback_manager_for_config,
|
||||
)
|
||||
from langgraph._internal._fields import (
|
||||
_is_optional_type,
|
||||
get_enhanced_type_hints,
|
||||
@@ -298,7 +304,7 @@ def test_is_not_empty() -> None:
|
||||
assert not _is_not_empty({})
|
||||
|
||||
|
||||
def test_configurable_metadata():
|
||||
def test_configurable_metadata() -> None:
|
||||
config = {
|
||||
"configurable": {
|
||||
"a-key": "foo",
|
||||
@@ -309,11 +315,115 @@ def test_configurable_metadata():
|
||||
"andme": 42,
|
||||
"nested": {"foo": "bar"},
|
||||
"nooverride": -2,
|
||||
"thread_id": "th-123",
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"user_id": "uid-1",
|
||||
"cron_id": "cron-1",
|
||||
"langgraph_auth_user_id": "user-1",
|
||||
},
|
||||
"metadata": {"nooverride": 18},
|
||||
}
|
||||
expected = {"includeme", "andme", "nooverride"}
|
||||
merged = ensure_config(config)
|
||||
metadata = merged["metadata"]
|
||||
assert metadata.keys() == expected
|
||||
assert set(metadata) == {
|
||||
"nooverride",
|
||||
"assistant_id",
|
||||
"thread_id",
|
||||
"checkpoint_id",
|
||||
"run_id",
|
||||
"graph_id",
|
||||
"checkpoint_ns",
|
||||
"task_id",
|
||||
}
|
||||
assert metadata["nooverride"] == 18
|
||||
|
||||
|
||||
def test_callback_manager_copies_whitelisted_configurable_ids_to_metadata() -> None:
|
||||
config = {
|
||||
"configurable": {
|
||||
"thread_id": "th-123",
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"user_id": "uid-1",
|
||||
"cron_id": "cron-1",
|
||||
"langgraph_auth_user_id": "user-1",
|
||||
},
|
||||
"metadata": {
|
||||
"thread_id": "from-metadata",
|
||||
"nooverride": 18,
|
||||
},
|
||||
}
|
||||
manager = ensure_config(config)
|
||||
callback_manager = get_callback_manager_for_config(manager)
|
||||
assert callback_manager.metadata == {
|
||||
"thread_id": "from-metadata",
|
||||
"nooverride": 18,
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
}
|
||||
|
||||
|
||||
def test_callback_manager_copies_configurable_ids_to_tracing_metadata() -> None:
|
||||
tracer = LangChainTracer(client=MagicMock())
|
||||
config: RunnableConfig = {
|
||||
"configurable": {
|
||||
"thread_id": "th-123",
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"user_id": "uid-1",
|
||||
"cron_id": "cron-1",
|
||||
"langgraph_auth_user_id": "user-1",
|
||||
"includeme": "hi",
|
||||
"andme": 42,
|
||||
"__dontinclude": "bar",
|
||||
"some_api_key": "secret",
|
||||
"custom_setting": {"nested": True},
|
||||
},
|
||||
"metadata": {
|
||||
"thread_id": "from-metadata",
|
||||
"user_id": "from-metadata-user",
|
||||
"includeme": "from-metadata",
|
||||
},
|
||||
"callbacks": [tracer],
|
||||
}
|
||||
|
||||
manager = ensure_config(config)
|
||||
callback_manager = get_callback_manager_for_config(manager)
|
||||
handlers = callback_manager.handlers
|
||||
tracers = [handler for handler in handlers if isinstance(handler, LangChainTracer)]
|
||||
assert len(tracers) == 1
|
||||
tracer = tracers[0]
|
||||
assert tracer.tracing_metadata == {
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"cron_id": "cron-1",
|
||||
"andme": 42,
|
||||
"includeme": "hi",
|
||||
"thread_id": "th-123",
|
||||
"user_id": "uid-1",
|
||||
}
|
||||
|
||||
Generated
+71
-58
@@ -524,61 +524,61 @@ toml = [
|
||||
|
||||
[[package]]
|
||||
name = "cryptography"
|
||||
version = "46.0.6"
|
||||
version = "46.0.7"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "cffi", marker = "python_full_version >= '3.11' and python_full_version < '3.14' and platform_python_implementation != 'PyPy'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a4/ba/04b1bd4218cbc58dc90ce967106d51582371b898690f3ae0402876cc4f34/cryptography-46.0.6.tar.gz", hash = "sha256:27550628a518c5c6c903d84f637fbecf287f6cb9ced3804838a1295dc1fd0759", size = 750542, upload-time = "2026-03-25T23:34:53.396Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/47/93/ac8f3d5ff04d54bc814e961a43ae5b0b146154c89c61b47bb07557679b18/cryptography-46.0.7.tar.gz", hash = "sha256:e4cfd68c5f3e0bfdad0d38e023239b96a2fe84146481852dffbcca442c245aa5", size = 750652, upload-time = "2026-04-08T01:57:54.692Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/47/23/9285e15e3bc57325b0a72e592921983a701efc1ee8f91c06c5f0235d86d9/cryptography-46.0.6-cp311-abi3-macosx_10_9_universal2.whl", hash = "sha256:64235194bad039a10bb6d2d930ab3323baaec67e2ce36215fd0952fad0930ca8", size = 7176401, upload-time = "2026-03-25T23:33:22.096Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/60/f8/e61f8f13950ab6195b31913b42d39f0f9afc7d93f76710f299b5ec286ae6/cryptography-46.0.6-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:26031f1e5ca62fcb9d1fcb34b2b60b390d1aacaa15dc8b895a9ed00968b97b30", size = 4275275, upload-time = "2026-03-25T23:33:23.844Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/19/69/732a736d12c2631e140be2348b4ad3d226302df63ef64d30dfdb8db7ad1c/cryptography-46.0.6-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9a693028b9cbe51b5a1136232ee8f2bc242e4e19d456ded3fa7c86e43c713b4a", size = 4425320, upload-time = "2026-03-25T23:33:25.703Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d4/12/123be7292674abf76b21ac1fc0e1af50661f0e5b8f0ec8285faac18eb99e/cryptography-46.0.6-cp311-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:67177e8a9f421aa2d3a170c3e56eca4e0128883cf52a071a7cbf53297f18b175", size = 4278082, upload-time = "2026-03-25T23:33:27.423Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5b/ba/d5e27f8d68c24951b0a484924a84c7cdaed7502bac9f18601cd357f8b1d2/cryptography-46.0.6-cp311-abi3-manylinux_2_28_ppc64le.whl", hash = "sha256:d9528b535a6c4f8ff37847144b8986a9a143585f0540fbcb1a98115b543aa463", size = 4926514, upload-time = "2026-03-25T23:33:29.206Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/34/71/1ea5a7352ae516d5512d17babe7e1b87d9db5150b21f794b1377eac1edc0/cryptography-46.0.6-cp311-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:22259338084d6ae497a19bae5d4c66b7ca1387d3264d1c2c0e72d9e9b6a77b97", size = 4457766, upload-time = "2026-03-25T23:33:30.834Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/01/59/562be1e653accee4fdad92c7a2e88fced26b3fdfce144047519bbebc299e/cryptography-46.0.6-cp311-abi3-manylinux_2_31_armv7l.whl", hash = "sha256:760997a4b950ff00d418398ad73fbc91aa2894b5c1db7ccb45b4f68b42a63b3c", size = 3986535, upload-time = "2026-03-25T23:33:33.02Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d6/8b/b1ebfeb788bf4624d36e45ed2662b8bd43a05ff62157093c1539c1288a18/cryptography-46.0.6-cp311-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:3dfa6567f2e9e4c5dceb8ccb5a708158a2a871052fa75c8b78cb0977063f1507", size = 4277618, upload-time = "2026-03-25T23:33:34.567Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/dd/52/a005f8eabdb28df57c20f84c44d397a755782d6ff6d455f05baa2785bd91/cryptography-46.0.6-cp311-abi3-manylinux_2_34_ppc64le.whl", hash = "sha256:cdcd3edcbc5d55757e5f5f3d330dd00007ae463a7e7aa5bf132d1f22a4b62b19", size = 4890802, upload-time = "2026-03-25T23:33:37.034Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ec/4d/8e7d7245c79c617d08724e2efa397737715ca0ec830ecb3c91e547302555/cryptography-46.0.6-cp311-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:d4e4aadb7fc1f88687f47ca20bb7227981b03afaae69287029da08096853b738", size = 4457425, upload-time = "2026-03-25T23:33:38.904Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1d/5c/f6c3596a1430cec6f949085f0e1a970638d76f81c3ea56d93d564d04c340/cryptography-46.0.6-cp311-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:2b417edbe8877cda9022dde3a008e2deb50be9c407eef034aeeb3a8b11d9db3c", size = 4405530, upload-time = "2026-03-25T23:33:40.842Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/7e/c9/9f9cea13ee2dbde070424e0c4f621c091a91ffcc504ffea5e74f0e1daeff/cryptography-46.0.6-cp311-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:380343e0653b1c9d7e1f55b52aaa2dbb2fdf2730088d48c43ca1c7c0abb7cc2f", size = 4667896, upload-time = "2026-03-25T23:33:42.781Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ad/b5/1895bc0821226f129bc74d00eccfc6a5969e2028f8617c09790bf89c185e/cryptography-46.0.6-cp311-abi3-win32.whl", hash = "sha256:bcb87663e1f7b075e48c3be3ecb5f0b46c8fc50b50a97cf264e7f60242dca3f2", size = 3026348, upload-time = "2026-03-25T23:33:45.021Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c3/f8/c9bcbf0d3e6ad288b9d9aa0b1dee04b063d19e8c4f871855a03ab3a297ab/cryptography-46.0.6-cp311-abi3-win_amd64.whl", hash = "sha256:6739d56300662c468fddb0e5e291f9b4d084bead381667b9e654c7dd81705124", size = 3483896, upload-time = "2026-03-25T23:33:46.649Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/01/41/3a578f7fd5c70611c0aacba52cd13cb364a5dee895a5c1d467208a9380b0/cryptography-46.0.6-cp314-cp314t-macosx_10_9_universal2.whl", hash = "sha256:2ef9e69886cbb137c2aef9772c2e7138dc581fad4fcbcf13cc181eb5a3ab6275", size = 7117147, upload-time = "2026-03-25T23:33:48.249Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fa/87/887f35a6fca9dde90cad08e0de0c89263a8e59b2d2ff904fd9fcd8025b6f/cryptography-46.0.6-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7f417f034f91dcec1cb6c5c35b07cdbb2ef262557f701b4ecd803ee8cefed4f4", size = 4266221, upload-time = "2026-03-25T23:33:49.874Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/aa/a8/0a90c4f0b0871e0e3d1ed126aed101328a8a57fd9fd17f00fb67e82a51ca/cryptography-46.0.6-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d24c13369e856b94892a89ddf70b332e0b70ad4a5c43cf3e9cb71d6d7ffa1f7b", size = 4408952, upload-time = "2026-03-25T23:33:52.128Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/16/0b/b239701eb946523e4e9f329336e4ff32b1247e109cbab32d1a7b61da8ed7/cryptography-46.0.6-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:aad75154a7ac9039936d50cf431719a2f8d4ed3d3c277ac03f3339ded1a5e707", size = 4270141, upload-time = "2026-03-25T23:33:54.11Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0f/a8/976acdd4f0f30df7b25605f4b9d3d89295351665c2091d18224f7ad5cdbf/cryptography-46.0.6-cp314-cp314t-manylinux_2_28_ppc64le.whl", hash = "sha256:3c21d92ed15e9cfc6eb64c1f5a0326db22ca9c2566ca46d845119b45b4400361", size = 4904178, upload-time = "2026-03-25T23:33:55.725Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b1/1b/bf0e01a88efd0e59679b69f42d4afd5bced8700bb5e80617b2d63a3741af/cryptography-46.0.6-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:4668298aef7cddeaf5c6ecc244c2302a2b8e40f384255505c22875eebb47888b", size = 4441812, upload-time = "2026-03-25T23:33:57.364Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/bb/8b/11df86de2ea389c65aa1806f331cae145f2ed18011f30234cc10ca253de8/cryptography-46.0.6-cp314-cp314t-manylinux_2_31_armv7l.whl", hash = "sha256:8ce35b77aaf02f3b59c90b2c8a05c73bac12cea5b4e8f3fbece1f5fddea5f0ca", size = 3963923, upload-time = "2026-03-25T23:33:59.361Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/91/e0/207fb177c3a9ef6a8108f234208c3e9e76a6aa8cf20d51932916bd43bda0/cryptography-46.0.6-cp314-cp314t-manylinux_2_34_aarch64.whl", hash = "sha256:c89eb37fae9216985d8734c1afd172ba4927f5a05cfd9bf0e4863c6d5465b013", size = 4269695, upload-time = "2026-03-25T23:34:00.909Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/21/5e/19f3260ed1e95bced52ace7501fabcd266df67077eeb382b79c81729d2d3/cryptography-46.0.6-cp314-cp314t-manylinux_2_34_ppc64le.whl", hash = "sha256:ed418c37d095aeddf5336898a132fba01091f0ac5844e3e8018506f014b6d2c4", size = 4869785, upload-time = "2026-03-25T23:34:02.796Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/10/38/cd7864d79aa1d92ef6f1a584281433419b955ad5a5ba8d1eb6c872165bcb/cryptography-46.0.6-cp314-cp314t-manylinux_2_34_x86_64.whl", hash = "sha256:69cf0056d6947edc6e6760e5f17afe4bea06b56a9ac8a06de9d2bd6b532d4f3a", size = 4441404, upload-time = "2026-03-25T23:34:04.35Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/09/0a/4fe7a8d25fed74419f91835cf5829ade6408fd1963c9eae9c4bce390ecbb/cryptography-46.0.6-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:8e7304c4f4e9490e11efe56af6713983460ee0780f16c63f219984dab3af9d2d", size = 4397549, upload-time = "2026-03-25T23:34:06.342Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5f/a0/7d738944eac6513cd60a8da98b65951f4a3b279b93479a7e8926d9cd730b/cryptography-46.0.6-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:b928a3ca837c77a10e81a814a693f2295200adb3352395fad024559b7be7a736", size = 4651874, upload-time = "2026-03-25T23:34:07.916Z" },
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[[package]]
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{ name = "packaging" },
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{ name = "pydantic" },
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@@ -1360,14 +1361,26 @@ dependencies = [
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{ name = "uuid-utils" },
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]
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{ url = "https://files.pythonhosted.org/packages/7d/d5/8fa4431007cbb7cfed7590f4d6a5dea3ad724f4174d248f6642ef5ce7d05/langchain_core-1.3.2-py3-none-any.whl", hash = "sha256:d44a66127f9f8db735bdfd0ab9661bccb47a97113cfd3f2d89c74864422b7274", size = 542390, upload-time = "2026-04-24T15:49:21.991Z" },
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@@ -1439,7 +1452,7 @@ test = [
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[package.metadata]
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|
||||
{ name = "langchain-core", specifier = ">=0.1" },
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{ name = "langgraph-checkpoint", editable = "../checkpoint" },
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||||
{ name = "langgraph-prebuilt", editable = "../prebuilt" },
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||||
{ name = "langgraph-sdk", editable = "../sdk-py" },
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@@ -2905,7 +2918,7 @@ wheels = [
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[[package]]
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{ name = "colorama", marker = "sys_platform == 'win32'" },
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@@ -2916,9 +2929,9 @@ dependencies = [
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{ name = "pygments" },
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{ name = "tomli", marker = "python_full_version < '3.11'" },
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[[package]]
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@@ -1,5 +1,7 @@
|
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"""langgraph.prebuilt exposes a higher-level API for creating and executing agents and tools."""
|
||||
|
||||
from langgraph.prebuilt._tool_call_stream import ToolCallStream
|
||||
from langgraph.prebuilt._tool_call_transformer import ToolCallTransformer
|
||||
from langgraph.prebuilt.chat_agent_executor import create_react_agent
|
||||
from langgraph.prebuilt.tool_node import (
|
||||
InjectedState,
|
||||
@@ -13,6 +15,8 @@ from langgraph.prebuilt.tool_validator import ValidationNode
|
||||
__all__ = [
|
||||
"create_react_agent",
|
||||
"ToolNode",
|
||||
"ToolCallStream",
|
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"ToolCallTransformer",
|
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"tools_condition",
|
||||
"ValidationNode",
|
||||
"InjectedState",
|
||||
|
||||
@@ -0,0 +1,117 @@
|
||||
"""In-process handle for a single tool call's streaming execution.
|
||||
|
||||
Mirrors the shape of `ChatModelStream` from langchain-core but simpler —
|
||||
a tool has one output channel, no content-block multiplexing. Populated
|
||||
by `ToolCallTransformer` as `tool-started` / `tool-output-delta` /
|
||||
`tool-finished` / `tool-error` events flow in on the `tools` channel.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import AsyncIterator, Iterator
|
||||
from typing import Any
|
||||
|
||||
from langgraph.stream._event_log import EventLog
|
||||
|
||||
|
||||
class ToolCallStream:
|
||||
"""Scoped view of a single tool call's lifecycle.
|
||||
|
||||
Yielded on `run.tool_calls` once per `tool-started` event. Fields
|
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are populated as events arrive:
|
||||
|
||||
- `tool_call_id`, `tool_name`, `input`: stable from the start event.
|
||||
- `output_deltas`: an `EventLog` of delta chunks. Iterate (sync or
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async) to consume partial output in arrival order.
|
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- `output`: terminal payload from `tool-finished`, or `None` if the
|
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call failed or is still in flight.
|
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- `error`: terminal error string from `tool-error`, or `None` if the
|
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call succeeded or is still in flight.
|
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- `completed`: True once a terminal event (`tool-finished` or
|
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`tool-error`) has been observed.
|
||||
|
||||
`ToolCallStream` is not meant to be constructed by end users — it's
|
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produced by `ToolCallTransformer` as events flow through the mux.
|
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"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
tool_call_id: str,
|
||||
tool_name: str,
|
||||
input: dict[str, Any] | None = None,
|
||||
) -> None:
|
||||
"""Initialize a fresh handle for a tool call.
|
||||
|
||||
Args:
|
||||
tool_call_id: The `tool_call_id` from the AIMessage.
|
||||
tool_name: The tool's name.
|
||||
input: The tool's input arguments (as reported by
|
||||
`on_tool_start`), or `None` if none were captured.
|
||||
"""
|
||||
self.tool_call_id = tool_call_id
|
||||
self.tool_name = tool_name
|
||||
self.input = input
|
||||
self._output_deltas: EventLog[Any] = EventLog()
|
||||
self.output: Any = None
|
||||
self.error: str | None = None
|
||||
self.completed = False
|
||||
|
||||
@property
|
||||
def output_deltas(self) -> EventLog[Any]:
|
||||
"""The EventLog of streamed `tool-output-delta` payloads.
|
||||
|
||||
Iterate (sync or async depending on how the run was started)
|
||||
to consume partial output in arrival order. The log closes when
|
||||
the tool finishes or errors.
|
||||
"""
|
||||
return self._output_deltas
|
||||
|
||||
def _bind(self, *, is_async: bool) -> None:
|
||||
"""Bind the deltas log to sync or async iteration.
|
||||
|
||||
Called by `ToolCallTransformer` when constructing this handle so
|
||||
the log matches the enclosing mux's mode.
|
||||
"""
|
||||
self._output_deltas._bind(is_async=is_async)
|
||||
|
||||
def _push_delta(self, delta: Any) -> None:
|
||||
self._output_deltas.push(delta)
|
||||
|
||||
def _finish(self, output: Any) -> None:
|
||||
self.output = output
|
||||
self.completed = True
|
||||
self._output_deltas.close()
|
||||
|
||||
def _fail(self, message: str) -> None:
|
||||
self.error = message
|
||||
self.completed = True
|
||||
self._output_deltas.close()
|
||||
|
||||
def __iter__(self) -> Iterator[Any]:
|
||||
"""Iterate delta chunks synchronously.
|
||||
|
||||
Equivalent to `iter(self.output_deltas)`. Raises `TypeError` if
|
||||
the underlying log is bound to async mode.
|
||||
"""
|
||||
return iter(self._output_deltas)
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[Any]:
|
||||
"""Iterate delta chunks asynchronously.
|
||||
|
||||
Equivalent to `aiter(self.output_deltas)`. Raises `TypeError`
|
||||
if the underlying log is bound to sync mode.
|
||||
"""
|
||||
return self._output_deltas.__aiter__()
|
||||
|
||||
def __repr__(self) -> str:
|
||||
status = (
|
||||
"completed"
|
||||
if self.completed and self.error is None
|
||||
else "failed"
|
||||
if self.completed
|
||||
else "running"
|
||||
)
|
||||
return (
|
||||
f"ToolCallStream(tool_call_id={self.tool_call_id!r}, "
|
||||
f"tool_name={self.tool_name!r}, status={status})"
|
||||
)
|
||||
@@ -0,0 +1,128 @@
|
||||
"""Transformer that projects `tools` channel events into `ToolCallStream`s."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import Awaitable, Callable
|
||||
from typing import Any
|
||||
|
||||
from langgraph.stream._event_log import EventLog
|
||||
from langgraph.stream._types import ProtocolEvent, StreamTransformer
|
||||
|
||||
from langgraph.prebuilt._tool_call_stream import ToolCallStream
|
||||
|
||||
|
||||
class ToolCallTransformer(StreamTransformer):
|
||||
"""Project `tools` channel events into `ToolCallStream` handles.
|
||||
|
||||
Each `tool-started` event spawns a `ToolCallStream`, pushed onto
|
||||
`run.tool_calls`. Subsequent `tool-output-delta` events append to
|
||||
that stream's deltas log; `tool-finished` and `tool-error` close it.
|
||||
|
||||
Native transformer — the `tool_calls` projection is exposed as a
|
||||
direct attribute on the run stream.
|
||||
|
||||
`EventLog[ToolCallStream]` is used (not `StreamChannel`) because the
|
||||
live handles are not serializable and should not be auto-forwarded
|
||||
onto the main event log. Wire consumers subscribe to the `tools`
|
||||
channel instead, where the raw protocol events flow through
|
||||
untouched by this transformer (`process` returns `True`).
|
||||
|
||||
Registered explicitly by users at compile time via
|
||||
`builder.compile(transformers=[ToolCallTransformer])` — not a
|
||||
default built-in, so the `tools` channel is user-opt-in.
|
||||
"""
|
||||
|
||||
_native = True
|
||||
required_stream_modes = ("tools",)
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._log: EventLog[ToolCallStream] = EventLog()
|
||||
self._active: dict[str, ToolCallStream] = {}
|
||||
self._is_async = False
|
||||
self._pump_fn: Callable[[], bool] | None = None
|
||||
self._apump_fn: Callable[[], Awaitable[bool]] | None = None
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"tool_calls": self._log}
|
||||
|
||||
def _bind_pump(self, fn: Callable[[], bool]) -> None:
|
||||
"""Wire the sync pull callback onto this transformer.
|
||||
|
||||
Called by `StreamMux.bind_pump`. Stored so each new
|
||||
`ToolCallStream` created by `process` can wire its deltas log
|
||||
for pump-driven iteration.
|
||||
"""
|
||||
self._pump_fn = fn
|
||||
self._is_async = False
|
||||
|
||||
def _bind_apump(self, fn: Callable[[], Awaitable[bool]]) -> None:
|
||||
"""Async counterpart to `_bind_pump`."""
|
||||
self._apump_fn = fn
|
||||
self._is_async = True
|
||||
|
||||
def _new_stream(
|
||||
self,
|
||||
tool_call_id: str,
|
||||
tool_name: str,
|
||||
tool_input: dict[str, Any] | None,
|
||||
) -> ToolCallStream:
|
||||
stream = ToolCallStream(tool_call_id, tool_name, tool_input)
|
||||
stream._bind(is_async=self._is_async)
|
||||
if self._apump_fn is not None:
|
||||
stream._output_deltas._arequest_more = self._apump_fn
|
||||
if self._pump_fn is not None:
|
||||
stream._output_deltas._request_more = self._pump_fn
|
||||
return stream
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
# Namespace filtering is handled by the mux via `scope_exact`.
|
||||
if event["method"] != "tools":
|
||||
return True
|
||||
|
||||
data = event["params"]["data"]
|
||||
tool_call_id = data.get("tool_call_id")
|
||||
if tool_call_id is None:
|
||||
return True
|
||||
event_type = data.get("event")
|
||||
|
||||
stream: ToolCallStream | None
|
||||
if event_type == "tool-started":
|
||||
stream = self._new_stream(
|
||||
tool_call_id,
|
||||
data.get("tool_name", ""),
|
||||
data.get("input"),
|
||||
)
|
||||
self._active[tool_call_id] = stream
|
||||
self._log.push(stream)
|
||||
elif event_type == "tool-output-delta":
|
||||
stream = self._active.get(tool_call_id)
|
||||
if stream is not None:
|
||||
stream._push_delta(data.get("delta"))
|
||||
elif event_type == "tool-finished":
|
||||
stream = self._active.pop(tool_call_id, None)
|
||||
if stream is not None:
|
||||
stream._finish(data.get("output"))
|
||||
elif event_type == "tool-error":
|
||||
stream = self._active.pop(tool_call_id, None)
|
||||
if stream is not None:
|
||||
stream._fail(data.get("message", ""))
|
||||
|
||||
# Pass-through — wire consumers subscribe to the `tools` channel
|
||||
# directly and reconstruct handles client-side.
|
||||
return True
|
||||
|
||||
def finalize(self) -> None:
|
||||
"""Close any still-active tool streams left open at run end."""
|
||||
for stream in self._active.values():
|
||||
if not stream.completed:
|
||||
stream._finish(None)
|
||||
self._active.clear()
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Fail any still-active tool streams when the run errors."""
|
||||
message = str(err)
|
||||
for stream in self._active.values():
|
||||
if not stream.completed:
|
||||
stream._fail(message)
|
||||
self._active.clear()
|
||||
@@ -0,0 +1,306 @@
|
||||
"""Tests for ToolCallTransformer and the ToolCallStream projection."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import time
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
from langchain_core.messages import AIMessage
|
||||
from langchain_core.tools import tool
|
||||
from langgraph.config import emit_tool_output_delta
|
||||
from langgraph.constants import END, START
|
||||
from langgraph.graph import StateGraph
|
||||
from langgraph.graph.message import add_messages
|
||||
from langgraph.stream._event_log import EventLog
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from langgraph.stream._types import ProtocolEvent
|
||||
from langgraph.stream.transformers import (
|
||||
MessagesTransformer,
|
||||
SubgraphTransformer,
|
||||
ValuesTransformer,
|
||||
)
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.prebuilt import ToolCallStream, ToolCallTransformer, ToolNode
|
||||
|
||||
TS = int(time.time() * 1000)
|
||||
|
||||
|
||||
def _tool_event(
|
||||
event: str,
|
||||
tool_call_id: str,
|
||||
*,
|
||||
tool_name: str = "",
|
||||
input: dict[str, Any] | None = None,
|
||||
delta: Any = None,
|
||||
output: Any = None,
|
||||
message: str = "",
|
||||
namespace: list[str] | None = None,
|
||||
) -> ProtocolEvent:
|
||||
data: dict[str, Any] = {"event": event, "tool_call_id": tool_call_id}
|
||||
if event == "tool-started":
|
||||
data["tool_name"] = tool_name
|
||||
if input is not None:
|
||||
data["input"] = input
|
||||
elif event == "tool-output-delta":
|
||||
data["delta"] = delta
|
||||
elif event == "tool-finished":
|
||||
data["output"] = output
|
||||
elif event == "tool-error":
|
||||
data["message"] = message
|
||||
return {
|
||||
"type": "event",
|
||||
"method": "tools",
|
||||
"params": {
|
||||
"namespace": namespace or [],
|
||||
"timestamp": TS,
|
||||
"data": data,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def _subscribe(log: EventLog) -> None:
|
||||
log._subscribed = True
|
||||
|
||||
|
||||
def _mux() -> tuple[StreamMux, ToolCallTransformer]:
|
||||
mux = StreamMux(
|
||||
factories=[
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
SubgraphTransformer,
|
||||
ToolCallTransformer,
|
||||
],
|
||||
is_async=False,
|
||||
)
|
||||
transformer = mux.transformer_by_key("tool_calls")
|
||||
assert isinstance(transformer, ToolCallTransformer)
|
||||
_subscribe(transformer._log)
|
||||
return mux, transformer
|
||||
|
||||
|
||||
class TestToolCallTransformerUnit:
|
||||
def test_required_stream_modes_declares_tools(self) -> None:
|
||||
assert ToolCallTransformer.required_stream_modes == ("tools",)
|
||||
|
||||
def test_tool_started_yields_handle(self) -> None:
|
||||
mux, transformer = _mux()
|
||||
mux.push(
|
||||
_tool_event(
|
||||
"tool-started",
|
||||
"tc1",
|
||||
tool_name="echo",
|
||||
input={"text": "hi"},
|
||||
)
|
||||
)
|
||||
handles = list(transformer._log._items)
|
||||
assert len(handles) == 1
|
||||
h = handles[0]
|
||||
assert isinstance(h, ToolCallStream)
|
||||
assert h.tool_call_id == "tc1"
|
||||
assert h.tool_name == "echo"
|
||||
assert h.input == {"text": "hi"}
|
||||
assert h.completed is False
|
||||
|
||||
def test_delta_accumulates_on_active_stream(self) -> None:
|
||||
mux, transformer = _mux()
|
||||
mux.push(_tool_event("tool-started", "tc1", tool_name="echo"))
|
||||
_subscribe(transformer._active["tc1"]._output_deltas)
|
||||
mux.push(_tool_event("tool-output-delta", "tc1", delta="a"))
|
||||
mux.push(_tool_event("tool-output-delta", "tc1", delta="b"))
|
||||
stream = transformer._active["tc1"]
|
||||
assert list(stream._output_deltas._items) == ["a", "b"]
|
||||
|
||||
def test_finish_closes_stream(self) -> None:
|
||||
mux, transformer = _mux()
|
||||
mux.push(_tool_event("tool-started", "tc1", tool_name="echo"))
|
||||
stream = transformer._active["tc1"]
|
||||
mux.push(_tool_event("tool-finished", "tc1", output="done"))
|
||||
assert stream.completed is True
|
||||
assert stream.output == "done"
|
||||
assert stream.error is None
|
||||
assert "tc1" not in transformer._active
|
||||
|
||||
def test_error_closes_stream(self) -> None:
|
||||
mux, transformer = _mux()
|
||||
mux.push(_tool_event("tool-started", "tc1", tool_name="boom"))
|
||||
stream = transformer._active["tc1"]
|
||||
mux.push(_tool_event("tool-error", "tc1", message="nope"))
|
||||
assert stream.completed is True
|
||||
assert stream.output is None
|
||||
assert stream.error == "nope"
|
||||
assert "tc1" not in transformer._active
|
||||
|
||||
def test_concurrent_tool_calls_do_not_bleed(self) -> None:
|
||||
mux, transformer = _mux()
|
||||
mux.push(_tool_event("tool-started", "a", tool_name="t"))
|
||||
mux.push(_tool_event("tool-started", "b", tool_name="t"))
|
||||
for tc in ("a", "b"):
|
||||
_subscribe(transformer._active[tc]._output_deltas)
|
||||
mux.push(_tool_event("tool-output-delta", "a", delta="A1"))
|
||||
mux.push(_tool_event("tool-output-delta", "b", delta="B1"))
|
||||
mux.push(_tool_event("tool-output-delta", "a", delta="A2"))
|
||||
assert list(transformer._active["a"]._output_deltas._items) == ["A1", "A2"]
|
||||
assert list(transformer._active["b"]._output_deltas._items) == ["B1"]
|
||||
|
||||
def test_tools_event_passes_through_main_log(self) -> None:
|
||||
mux, transformer = _mux()
|
||||
_subscribe(mux._events)
|
||||
mux.push(_tool_event("tool-started", "tc1", tool_name="echo"))
|
||||
kept = [e for e in mux._events._items if e["method"] == "tools"]
|
||||
assert len(kept) == 1
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end tests with a real graph
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _State(TypedDict):
|
||||
messages: Annotated[list, add_messages]
|
||||
|
||||
|
||||
def _build_graph(caller, tools):
|
||||
sg = StateGraph(_State)
|
||||
sg.add_node("caller", caller)
|
||||
sg.add_node("tools", ToolNode(tools))
|
||||
sg.add_edge(START, "caller")
|
||||
sg.add_edge("caller", "tools")
|
||||
sg.add_edge("tools", END)
|
||||
return sg.compile()
|
||||
|
||||
|
||||
class TestToolCallTransformerEndToEnd:
|
||||
def test_sync_streaming_tool_populates_tool_calls(self) -> None:
|
||||
@tool
|
||||
def streamer(text: str) -> str:
|
||||
"""streams chunks."""
|
||||
for chunk in ("one", "two"):
|
||||
emit_tool_output_delta(chunk)
|
||||
return text
|
||||
|
||||
def caller(state: _State) -> dict:
|
||||
return {
|
||||
"messages": [
|
||||
AIMessage(
|
||||
content="",
|
||||
tool_calls=[
|
||||
{"name": "streamer", "args": {"text": "x"}, "id": "tc1"}
|
||||
],
|
||||
)
|
||||
]
|
||||
}
|
||||
|
||||
graph = _build_graph(caller, [streamer])
|
||||
run = graph.stream_v2({"messages": []}, transformers=[ToolCallTransformer])
|
||||
|
||||
tool_calls: list[ToolCallStream] = []
|
||||
for tc in run.tool_calls:
|
||||
tool_calls.append(tc)
|
||||
deltas = list(tc.output_deltas)
|
||||
assert deltas == ["one", "two"]
|
||||
assert len(tool_calls) == 1
|
||||
tc = tool_calls[0]
|
||||
assert tc.tool_call_id == "tc1"
|
||||
assert tc.tool_name == "streamer"
|
||||
assert tc.completed is True
|
||||
assert tc.error is None
|
||||
|
||||
def test_stream_modes_union_includes_tools(self) -> None:
|
||||
@tool
|
||||
def echo(text: str) -> str:
|
||||
"""echo."""
|
||||
return text
|
||||
|
||||
def caller(state: _State) -> dict:
|
||||
return {
|
||||
"messages": [
|
||||
AIMessage(
|
||||
content="",
|
||||
tool_calls=[
|
||||
{"name": "echo", "args": {"text": "x"}, "id": "tc1"}
|
||||
],
|
||||
)
|
||||
]
|
||||
}
|
||||
|
||||
graph = _build_graph(caller, [echo])
|
||||
# Without ToolCallTransformer, no tool_calls projection is
|
||||
# exposed and no `tools` events flow through (required_stream_modes
|
||||
# omits it).
|
||||
run_no_tc = graph.stream_v2({"messages": []})
|
||||
assert "tool_calls" not in run_no_tc._mux.extensions # type: ignore[attr-defined]
|
||||
|
||||
# With ToolCallTransformer, the projection is present.
|
||||
run = graph.stream_v2({"messages": []}, transformers=[ToolCallTransformer])
|
||||
assert "tool_calls" in run._mux.extensions # type: ignore[attr-defined]
|
||||
# Drain so the run closes cleanly.
|
||||
list(run.tool_calls)
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_streaming_tool_populates_tool_calls(self) -> None:
|
||||
@tool
|
||||
async def astreamer(text: str) -> str:
|
||||
"""async streams."""
|
||||
emit_tool_output_delta(text)
|
||||
emit_tool_output_delta(text + "!")
|
||||
return text
|
||||
|
||||
async def caller(state: _State) -> dict:
|
||||
return {
|
||||
"messages": [
|
||||
AIMessage(
|
||||
content="",
|
||||
tool_calls=[
|
||||
{"name": "astreamer", "args": {"text": "hi"}, "id": "tc1"}
|
||||
],
|
||||
)
|
||||
]
|
||||
}
|
||||
|
||||
graph = _build_graph(caller, [astreamer])
|
||||
run = await graph.astream_v2(
|
||||
{"messages": []}, transformers=[ToolCallTransformer]
|
||||
)
|
||||
|
||||
collected: list[ToolCallStream] = []
|
||||
async for tc in run.tool_calls:
|
||||
collected.append(tc)
|
||||
deltas = [d async for d in tc.output_deltas]
|
||||
assert deltas == ["hi", "hi!"]
|
||||
assert len(collected) == 1
|
||||
assert collected[0].completed is True
|
||||
assert collected[0].error is None
|
||||
|
||||
def test_tool_error_populates_error_field(self) -> None:
|
||||
@tool
|
||||
def boom() -> str:
|
||||
"""raises."""
|
||||
raise ValueError("nope")
|
||||
|
||||
def caller(state: _State) -> dict:
|
||||
return {
|
||||
"messages": [
|
||||
AIMessage(
|
||||
content="",
|
||||
tool_calls=[{"name": "boom", "args": {}, "id": "tc1"}],
|
||||
)
|
||||
]
|
||||
}
|
||||
|
||||
graph = _build_graph(caller, [boom])
|
||||
run = graph.stream_v2({"messages": []}, transformers=[ToolCallTransformer])
|
||||
|
||||
collected: list[ToolCallStream] = []
|
||||
with pytest.raises(ValueError, match="nope"):
|
||||
for tc in run.tool_calls:
|
||||
collected.append(tc)
|
||||
# Drain deltas so the error field is populated before we
|
||||
# inspect it below.
|
||||
list(tc.output_deltas)
|
||||
|
||||
assert len(collected) == 1
|
||||
assert collected[0].error == "nope"
|
||||
assert collected[0].output is None
|
||||
assert collected[0].completed is True
|
||||
Generated
+8
-8
@@ -249,7 +249,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.2.25"
|
||||
version = "1.3.0a2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -261,14 +261,14 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/86/2a/d65de24fc9b7989137253da8973f850f3e39b4ce3e0377bc8200d6b3c189/langchain_core-1.2.25.tar.gz", hash = "sha256:77e032b96509d0eb1f6875042fdf97b7e2334a815314700c6894d9d078909b9c", size = 842347, upload-time = "2026-04-02T22:39:11.528Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/af/bc/0bff31fcaff174d86031cc713471a3e85ed4ec8e5cd95ad0217f2aced20e/langchain_core-1.3.0a2.tar.gz", hash = "sha256:52d978c84552b74b9a3f16c1fced84f9e27cc96d7a67c601925ce6cbc4ea3cf9", size = 854580, upload-time = "2026-04-13T14:37:55.745Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/3d/0e/7b31b0249f9b9b0fc7829d5b0ee484b8f8d43c78e376e9951e2ef3eac70c/langchain_core-1.2.25-py3-none-any.whl", hash = "sha256:0c05bf395aec6d2dfa14488fd006f7bcd0540e7e89287e04f92203532a82c828", size = 506866, upload-time = "2026-04-02T22:39:10.137Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0e/14/03c09686602567059f26af29de0c44546a83af2f2aa29925e61040e43ea2/langchain_core-1.3.0a2-py3-none-any.whl", hash = "sha256:9e929a34f0b0c6c1255e395a1de34f8626893ceb4cdae550a22a0bd18c87be54", size = 510233, upload-time = "2026-04-13T14:37:54.277Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph"
|
||||
version = "1.1.6"
|
||||
version = "1.1.7a2"
|
||||
source = { editable = "../langgraph" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -281,7 +281,7 @@ dependencies = [
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "langchain-core", specifier = ">=0.1" },
|
||||
{ name = "langchain-core", specifier = "==1.3.0a2" },
|
||||
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
|
||||
{ name = "langgraph-prebuilt", editable = "." },
|
||||
{ name = "langgraph-sdk", editable = "../sdk-py" },
|
||||
@@ -1182,7 +1182,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "pytest"
|
||||
version = "9.0.2"
|
||||
version = "9.0.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
@@ -1193,9 +1193,9 @@ dependencies = [
|
||||
{ name = "pygments" },
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/d1/db/7ef3487e0fb0049ddb5ce41d3a49c235bf9ad299b6a25d5780a89f19230f/pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11", size = 1568901, upload-time = "2025-12-06T21:30:51.014Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/7d/0d/549bd94f1a0a402dc8cf64563a117c0f3765662e2e668477624baeec44d5/pytest-9.0.3.tar.gz", hash = "sha256:b86ada508af81d19edeb213c681b1d48246c1a91d304c6c81a427674c17eb91c", size = 1572165, upload-time = "2026-04-07T17:16:18.027Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/3b/ab/b3226f0bd7cdcf710fbede2b3548584366da3b19b5021e74f5bde2a8fa3f/pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b", size = 374801, upload-time = "2025-12-06T21:30:49.154Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d4/24/a372aaf5c9b7208e7112038812994107bc65a84cd00e0354a88c2c77a617/pytest-9.0.3-py3-none-any.whl", hash = "sha256:2c5efc453d45394fdd706ade797c0a81091eccd1d6e4bccfcd476e2b8e0ab5d9", size = 375249, upload-time = "2026-04-07T17:16:16.13Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
Generated
+8
-8
@@ -262,7 +262,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.2.22"
|
||||
version = "1.3.0a2"
|
||||
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/af/bc/0bff31fcaff174d86031cc713471a3e85ed4ec8e5cd95ad0217f2aced20e/langchain_core-1.3.0a2.tar.gz", hash = "sha256:52d978c84552b74b9a3f16c1fced84f9e27cc96d7a67c601925ce6cbc4ea3cf9", size = 854580, upload-time = "2026-04-13T14:37:55.745Z" }
|
||||
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/0e/14/03c09686602567059f26af29de0c44546a83af2f2aa29925e61040e43ea2/langchain_core-1.3.0a2-py3-none-any.whl", hash = "sha256:9e929a34f0b0c6c1255e395a1de34f8626893ceb4cdae550a22a0bd18c87be54", size = 510233, upload-time = "2026-04-13T14:37:54.277Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph"
|
||||
version = "1.1.6"
|
||||
version = "1.1.7a2"
|
||||
source = { editable = "../langgraph" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -294,7 +294,7 @@ dependencies = [
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "langchain-core", specifier = ">=0.1" },
|
||||
{ name = "langchain-core", specifier = "==1.3.0a2" },
|
||||
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
|
||||
{ name = "langgraph-prebuilt", editable = "../prebuilt" },
|
||||
{ name = "langgraph-sdk", editable = "." },
|
||||
@@ -1000,7 +1000,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "pytest"
|
||||
version = "9.0.2"
|
||||
version = "9.0.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
@@ -1011,9 +1011,9 @@ dependencies = [
|
||||
{ name = "pygments" },
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/d1/db/7ef3487e0fb0049ddb5ce41d3a49c235bf9ad299b6a25d5780a89f19230f/pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11", size = 1568901, upload-time = "2025-12-06T21:30:51.014Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/7d/0d/549bd94f1a0a402dc8cf64563a117c0f3765662e2e668477624baeec44d5/pytest-9.0.3.tar.gz", hash = "sha256:b86ada508af81d19edeb213c681b1d48246c1a91d304c6c81a427674c17eb91c", size = 1572165, upload-time = "2026-04-07T17:16:18.027Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/3b/ab/b3226f0bd7cdcf710fbede2b3548584366da3b19b5021e74f5bde2a8fa3f/pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b", size = 374801, upload-time = "2025-12-06T21:30:49.154Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d4/24/a372aaf5c9b7208e7112038812994107bc65a84cd00e0354a88c2c77a617/pytest-9.0.3-py3-none-any.whl", hash = "sha256:2c5efc453d45394fdd706ade797c0a81091eccd1d6e4bccfcd476e2b8e0ab5d9", size = 375249, upload-time = "2026-04-07T17:16:16.13Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
Reference in New Issue
Block a user