From f5f536ba7861ccd0cc16f877dbded5df08ce3bcd Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 9 Sep 2025 10:48:03 -0400 Subject: [PATCH 01/54] chore(deps): bump actions/download-artifact from 4 to 5 (#5868) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 4 to 5.
Release notes

Sourced from actions/download-artifact's releases.

v5.0.0

What's Changed

v5.0.0

🚨 Breaking Change

This release fixes an inconsistency in path behavior for single artifact downloads by ID. If you're downloading single artifacts by ID, the output path may change.

What Changed

Previously, single artifact downloads behaved differently depending on how you specified the artifact:

Now both methods are consistent:

Migration Guide

✅ No Action Needed If:
⚠️ Action Required If:

You download single artifacts by ID and your workflows expect the nested directory structure.

Before v5 (nested structure):

- uses: actions/download-artifact@v4
  with:
    artifact-ids: 12345
    path: dist
# Files were in: dist/my-artifact/

Where my-artifact is the name of the artifact you previously uploaded

To maintain old behavior (if needed):

</tr></table>

... (truncated)

Commits

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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> --- .github/workflows/_test_release.yml | 2 +- .github/workflows/release.yml | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/_test_release.yml b/.github/workflows/_test_release.yml index bf311ff0d..fdb237fe0 100644 --- a/.github/workflows/_test_release.yml +++ b/.github/workflows/_test_release.yml @@ -77,7 +77,7 @@ jobs: steps: - uses: actions/checkout@v5 - - uses: actions/download-artifact@v4 + - uses: actions/download-artifact@v5 with: name: test-dist path: ${{ inputs.working-directory }}/dist/ diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index d908917ca..cd4d7f60a 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -270,7 +270,7 @@ jobs: enable-cache: true cache-suffix: "release" - - uses: actions/download-artifact@v4 + - uses: actions/download-artifact@v5 with: name: dist path: ${{ inputs.working-directory }}/dist/ @@ -311,7 +311,7 @@ jobs: enable-cache: true cache-suffix: "release" - - uses: actions/download-artifact@v4 + - uses: actions/download-artifact@v5 with: name: dist path: ${{ inputs.working-directory }}/dist/ From faacbc1570d5870d043d8305416c0e0817e8c6d4 Mon Sep 17 00:00:00 2001 From: Mohammad Mohtashim <45242107+keenborder786@users.noreply.github.com> Date: Tue, 9 Sep 2025 20:07:07 +0500 Subject: [PATCH 02/54] docs(prebuilt): remaining_steps explanation added in `create_react_agent` (#5847) - **Description:** A better explanation of `remaining_steps` to clarify what it does. - **Issue:** #5548 --- libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py b/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py index 8256bbc44..13d2ec6a4 100644 --- a/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py +++ b/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py @@ -390,6 +390,14 @@ def create_react_agent( state_schema: An optional state schema that defines graph state. Must have `messages` and `remaining_steps` keys. Defaults to `AgentState` that defines those two keys. + !!! Note + `remaining_steps` is used to limit the number of steps the react agent can take. + Calculated roughly as `recursion_limit` - `total_steps_taken`. + If `remaining_steps` is less than 2 and tool calls are present in the response, + the react agent will return a final AI Message with + the content "Sorry, need more steps to process this request.". + No `GraphRecusionError` will be raised in this case. + context_schema: An optional schema for runtime context. checkpointer: An optional checkpoint saver object. This is used for persisting the state of the graph (e.g., as chat memory) for a single thread (e.g., a single conversation). From b75daf093e7383a3200ca016eaba90bd80a9d34f Mon Sep 17 00:00:00 2001 From: Ahmad Elmalah Date: Tue, 9 Sep 2025 18:14:25 +0300 Subject: [PATCH 03/54] docs(multi-agent page): fix a couple of broken links (#5813) On this page: https://langchain-ai.github.io/langgraph/concepts/multi_agent/ The last couple of links are broken **First link:** https://langchain-ai.github.io/langgraph/concepts/how-tos/subgraph.ipynb#different-state-schemas should be updated to https://langchain-ai.github.io/langgraph/how-tos/subgraph/#different-state-schemas **Second link:** https://langchain-ai.github.io/langgraph/concepts/how-tos/graph-api.ipynb#pass-private-state-between-nodes should be updated to https://langchain-ai.github.io/langgraph/how-tos/graph-api/#pass-private-state-between-nodes --------- Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> --- docs/docs/concepts/multi_agent.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/docs/concepts/multi_agent.md b/docs/docs/concepts/multi_agent.md index 53f8bb3cd..752b8cc6b 100644 --- a/docs/docs/concepts/multi_agent.md +++ b/docs/docs/concepts/multi_agent.md @@ -897,5 +897,5 @@ There are two high-level approaches to achieve that: An agent might need to have a different state schema from the rest of the agents. For example, a search agent might only need to keep track of queries and retrieved documents. There are two ways to achieve this in LangGraph: -- Define [subgraph](./subgraphs.md) agents with a separate state schema. If there are no shared state keys (channels) between the subgraph and the parent graph, it's important to [add input / output transformations](../how-tos/subgraph.ipynb#different-state-schemas) so that the parent graph knows how to communicate with the subgraphs. -- Define agent node functions with a [private input state schema](../how-tos/graph-api.ipynb#pass-private-state-between-nodes) that is distinct from the overall graph state schema. This allows passing information that is only needed for executing that particular agent. +- Define [subgraph](./subgraphs.md) agents with a separate state schema. If there are no shared state keys (channels) between the subgraph and the parent graph, it's important to [add input / output transformations](../how-tos/subgraph.md#different-state-schemas) so that the parent graph knows how to communicate with the subgraphs. +- Define agent node functions with a [private input state schema](../how-tos/graph-api.md#pass-private-state-between-nodes) that is distinct from the overall graph state schema. This allows passing information that is only needed for executing that particular agent. From 4dfd1c368c6aaa65eb274d493e9ff1b9816d432d Mon Sep 17 00:00:00 2001 From: Todd Chaney <47466952+Therealchainman@users.noreply.github.com> Date: Tue, 9 Sep 2025 11:27:23 -0400 Subject: [PATCH 04/54] Fix to graph-api docs Send API example (#5576) Very small update to docs, I think there is an add_edge that shouldn't be there and a bug. Adding the Annotated, resolves this error I received running the example. Traceback (most recent call last): File "/Users/toddchaney/repos/work/importal-apps/python-worker/main.py", line 52, in for step in graph.stream({"topic": "animals"}, stream_mode = ["updates", "values"]): ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/toddchaney/repos/work/importal-apps/python-worker/.venv/lib/python3.12/site-packages/langgraph/pregel/__init__.py", line 2544, in stream loop.after_tick() File "/Users/toddchaney/repos/work/importal-apps/python-worker/.venv/lib/python3.12/site-packages/langgraph/pregel/loop.py", line 526, in after_tick self.updated_channels = apply_writes( ^^^^^^^^^^^^^ File "/Users/toddchaney/repos/work/importal-apps/python-worker/.venv/lib/python3.12/site-packages/langgraph/pregel/algo.py", line 299, in apply_writes if channels[chan].update(vals) and next_version is not None: ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/toddchaney/repos/work/importal-apps/python-worker/.venv/lib/python3.12/site-packages/langgraph/channels/last_value.py", line 58, in update raise InvalidUpdateError(msg) langgraph.errors.InvalidUpdateError: At key 'jokes': Can receive only one value per step. Use an Annotated key to handle multiple values. For troubleshooting, visit: https://python.langchain.com/docs/troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> Co-authored-by: Eugene Yurtsev --- docs/docs/how-tos/graph-api.md | 1 - 1 file changed, 1 deletion(-) diff --git a/docs/docs/how-tos/graph-api.md b/docs/docs/how-tos/graph-api.md index 9a64d5cd8..c92f45dcc 100644 --- a/docs/docs/how-tos/graph-api.md +++ b/docs/docs/how-tos/graph-api.md @@ -2110,7 +2110,6 @@ builder.add_edge(START, "generate_topics") builder.add_conditional_edges("generate_topics", continue_to_jokes, ["generate_joke"]) builder.add_edge("generate_joke", "best_joke") builder.add_edge("best_joke", END) -builder.add_edge("generate_topics", END) graph = builder.compile() ``` From 7bbe8d862822958d43ae43f753b57dbe3bbe806c Mon Sep 17 00:00:00 2001 From: Sakshi Gupta <64280320+sakshi1989@users.noreply.github.com> Date: Tue, 9 Sep 2025 11:43:42 -0400 Subject: [PATCH 05/54] docs: Update graph-api.md for "Extended example: specifying LLM at runtime" (#5938) docs (graphapi) : Handle Missing Context in LLM Invocation - Invoking the LLM without explicitly passing a context parameter resulted in the following error: `AttributeError: 'NoneType' object has no attribute 'model_provider'` This occurred because the context was None, and the system attempted to access model_provider. This PR ensures that when context is not provided, an empty context is passed explicitly. This allows the system to correctly fall back to the default value defined in the ContextSchema.model_provider attribute. --- docs/docs/how-tos/graph-api.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/how-tos/graph-api.md b/docs/docs/how-tos/graph-api.md index c92f45dcc..7fbd084c8 100644 --- a/docs/docs/how-tos/graph-api.md +++ b/docs/docs/how-tos/graph-api.md @@ -1019,7 +1019,7 @@ console.log(await graph.invoke({}, { configurable: { myRuntimeValue: "b" } })); # Usage input_message = {"role": "user", "content": "hi"} # With no configuration, uses default (Anthropic) - response_1 = graph.invoke({"messages": [input_message]})["messages"][-1] + response_1 = graph.invoke({"messages": [input_message]}, context=ContextSchema())["messages"][-1] # Or, can set OpenAI response_2 = graph.invoke({"messages": [input_message]}, context={"model_provider": "openai"})["messages"][-1] From 682f39e0d38678ca76ef9dd3547fddf405d39072 Mon Sep 17 00:00:00 2001 From: Caspar Broekhuizen Date: Tue, 9 Sep 2025 10:52:11 -0700 Subject: [PATCH 06/54] fix(checkpoint): preserve non-ascii text in InMemoryStore embeddings (#6111) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ### Description * Set `ensure_ascii=False` for all `json.dumps` calls in `get_text_at_path`. Preserves non-ASCII text instead of embedding `\uXXXX` escapes. **Before** ```python store.put(("user_123", "memories"), "1", {"text": "这是中文"}) # embeds {"text": "\\u8fd9\\u662f\\u4e2d\\u6587"} ``` **After** ```python store.put(("user_123", "memories"), "1", {"text": "这是中文"}) # embeds {"text": "这是中文"} ``` ### Tests & Docs * Add unit test `test_non_ascii` that writes three records (Chinese, Japanese, Korean) to an `InMemoryStore`, searches with the same strings, and asserts the correct top hit with a score >= 0.15 for each. ### Issue Fixes #5946 --- libs/checkpoint-postgres/tests/test_store.py | 43 +++++++++ libs/checkpoint-sqlite/tests/test_store.py | 28 ++++++ libs/checkpoint/langgraph/store/base/embed.py | 10 +- libs/checkpoint/tests/test_redis_cache.py | 91 ++++++++++--------- libs/checkpoint/tests/test_store.py | 24 +++++ 5 files changed, 151 insertions(+), 45 deletions(-) diff --git a/libs/checkpoint-postgres/tests/test_store.py b/libs/checkpoint-postgres/tests/test_store.py index f7c7a1b2c..42bf50419 100644 --- a/libs/checkpoint-postgres/tests/test_store.py +++ b/libs/checkpoint-postgres/tests/test_store.py @@ -861,3 +861,46 @@ def test_store_ttl(store): # Now has been (TTL_SECONDS-2)*2 > TTL_SECONDS + TTL_SECONDS/2 res = store.search(ns, query="bar", refresh_ttl=False) assert len(res) == 0 + + +@pytest.mark.parametrize( + "vector_type,distance_type", + [ + ("vector", "cosine"), + ("vector", "inner_product"), + ("halfvec", "cosine"), + ("halfvec", "inner_product"), + ], +) +def test_non_ascii( + request: Any, + fake_embeddings: CharacterEmbeddings, + vector_type: str, + distance_type: str, +) -> None: + """Test support for non-ascii characters""" + with _create_vector_store( + vector_type, + distance_type, + fake_embeddings + ) as store: + + store.put(("user_123", "memories"), "1", {"text": "这是中文"}) # Chinese + store.put( + ("user_123", "memories"), "2", {"text": "これは日本語です"} + ) # Japanese + store.put(("user_123", "memories"), "3", {"text": "이건 한국어야"}) # Korean + store.put(("user_123", "memories"), "4", {"text": "Это русский"}) # Russian + store.put(("user_123", "memories"), "5", {"text": "यह रूसी है"}) # Hindi + + result1 = store.search(("user_123", "memories"), query="这是中文") + result2 = store.search(("user_123", "memories"), query="これは日本語です") + result3 = store.search(("user_123", "memories"), query="이건 한국어야") + result4 = store.search(("user_123", "memories"), query="Это русский") + result5 = store.search(("user_123", "memories"), query="यह रूसी है") + + assert result1[0].key == "1" + assert result2[0].key == "2" + assert result3[0].key == "3" + assert result4[0].key == "4" + assert result5[0].key == "5" diff --git a/libs/checkpoint-sqlite/tests/test_store.py b/libs/checkpoint-sqlite/tests/test_store.py index 590394375..844493fdc 100644 --- a/libs/checkpoint-sqlite/tests/test_store.py +++ b/libs/checkpoint-sqlite/tests/test_store.py @@ -1067,3 +1067,31 @@ def test_sql_injection_vulnerability(store: SqliteStore) -> None: with pytest.raises(ValueError, match="Invalid filter key"): store.search(("docs",), filter={malicious_key: "dummy"}) + + +@pytest.mark.parametrize("distance_type", VECTOR_TYPES) +def test_non_ascii( + fake_embeddings: CharacterEmbeddings, + distance_type: str, +) -> None: + """Test support for non-ascii characters""" + with create_vector_store(fake_embeddings, distance_type=distance_type) as store: + store.put(("user_123", "memories"), "1", {"text": "这是中文"}) # Chinese + store.put( + ("user_123", "memories"), "2", {"text": "これは日本語です"} + ) # Japanese + store.put(("user_123", "memories"), "3", {"text": "이건 한국어야"}) # Korean + store.put(("user_123", "memories"), "4", {"text": "Это русский"}) # Russian + store.put(("user_123", "memories"), "5", {"text": "यह रूसी है"}) # Hindi + + result1 = store.search(("user_123", "memories"), query="这是中文") + result2 = store.search(("user_123", "memories"), query="これは日本語です") + result3 = store.search(("user_123", "memories"), query="이건 한국어야") + result4 = store.search(("user_123", "memories"), query="Это русский") + result5 = store.search(("user_123", "memories"), query="यह रूसी है") + + assert result1[0].key == "1" + assert result2[0].key == "2" + assert result3[0].key == "3" + assert result4[0].key == "4" + assert result5[0].key == "5" diff --git a/libs/checkpoint/langgraph/store/base/embed.py b/libs/checkpoint/langgraph/store/base/embed.py index 738a9e53f..afaa4d135 100644 --- a/libs/checkpoint/langgraph/store/base/embed.py +++ b/libs/checkpoint/langgraph/store/base/embed.py @@ -238,7 +238,7 @@ def get_text_at_path(obj: Any, path: str | list[str]) -> list[str]: - Nested paths in multi-field: "{field1,nested.field2}" """ if not path or path == "$": - return [json.dumps(obj, sort_keys=True)] + return [json.dumps(obj, sort_keys=True, ensure_ascii=False)] tokens = tokenize_path(path) if isinstance(path, str) else path @@ -249,7 +249,7 @@ def get_text_at_path(obj: Any, path: str | list[str]) -> list[str]: elif obj is None: return [] elif isinstance(obj, (list, dict)): - return [json.dumps(obj, sort_keys=True)] + return [json.dumps(obj, sort_keys=True, ensure_ascii=False)] return [] token = tokens[pos] @@ -295,7 +295,11 @@ def get_text_at_path(obj: Any, path: str | list[str]) -> list[str]: if isinstance(current_obj, (str, int, float, bool)): results.append(str(current_obj)) elif isinstance(current_obj, (list, dict)): - results.append(json.dumps(current_obj, sort_keys=True)) + results.append( + json.dumps( + current_obj, sort_keys=True, ensure_ascii=False + ) + ) # Handle wildcard elif token == "*": diff --git a/libs/checkpoint/tests/test_redis_cache.py b/libs/checkpoint/tests/test_redis_cache.py index bec001e9b..ca1fce09c 100644 --- a/libs/checkpoint/tests/test_redis_cache.py +++ b/libs/checkpoint/tests/test_redis_cache.py @@ -5,12 +5,13 @@ import time import pytest import redis +from langgraph.cache.base import FullKey from langgraph.cache.redis import RedisCache class TestRedisCache: @pytest.fixture(autouse=True) - def setup(self): + def setup(self) -> None: """Set up test Redis client and cache.""" self.client = redis.Redis( host="localhost", port=6379, db=0, decode_responses=False @@ -20,21 +21,21 @@ class TestRedisCache: except redis.ConnectionError: pytest.skip("Redis server not available") - self.cache = RedisCache(self.client, prefix="test:cache:") + self.cache: RedisCache = RedisCache(self.client, prefix="test:cache:") # Clean up before each test self.client.flushdb() - def teardown_method(self): + def teardown_method(self) -> None: """Clean up after each test.""" try: self.client.flushdb() except Exception: pass - def test_basic_set_and_get(self): + def test_basic_set_and_get(self) -> None: """Test basic set and get operations.""" - keys = [(("graph", "node"), "key1")] + keys: list[FullKey] = [(("graph", "node"), "key1")] values = {keys[0]: ({"result": 42}, None)} # Set value @@ -45,9 +46,9 @@ class TestRedisCache: assert len(result) == 1 assert result[keys[0]] == {"result": 42} - def test_batch_operations(self): + def test_batch_operations(self) -> None: """Test batch set and get operations.""" - keys = [ + keys: list[FullKey] = [ (("graph", "node1"), "key1"), (("graph", "node2"), "key2"), (("other", "node"), "key3"), @@ -68,9 +69,9 @@ class TestRedisCache: assert result[keys[1]] == {"result": 2} assert result[keys[2]] == {"result": 3} - def test_ttl_behavior(self): + def test_ttl_behavior(self) -> None: """Test TTL (time-to-live) functionality.""" - key = (("graph", "node"), "ttl_key") + key: FullKey = (("graph", "node"), "ttl_key") values = {key: ({"data": "expires_soon"}, 1)} # 1 second TTL # Set with TTL @@ -88,10 +89,10 @@ class TestRedisCache: result = self.cache.get([key]) assert len(result) == 0 - def test_namespace_isolation(self): + def test_namespace_isolation(self) -> None: """Test that different namespaces are isolated.""" - key1 = (("graph1", "node"), "same_key") - key2 = (("graph2", "node"), "same_key") + key1: FullKey = (("graph1", "node"), "same_key") + key2: FullKey = (("graph2", "node"), "same_key") values = {key1: ({"graph": 1}, None), key2: ({"graph": 2}, None)} @@ -101,9 +102,12 @@ class TestRedisCache: assert result[key1] == {"graph": 1} assert result[key2] == {"graph": 2} - def test_clear_all(self): + def test_clear_all(self) -> None: """Test clearing all cached values.""" - keys = [(("graph", "node1"), "key1"), (("graph", "node2"), "key2")] + keys: list[FullKey] = [ + (("graph", "node1"), "key1"), + (("graph", "node2"), "key2"), + ] values = {keys[0]: ({"result": 1}, None), keys[1]: ({"result": 2}, None)} self.cache.set(values) @@ -119,9 +123,9 @@ class TestRedisCache: result = self.cache.get(keys) assert len(result) == 0 - def test_clear_by_namespace(self): + def test_clear_by_namespace(self) -> None: """Test clearing cached values by namespace.""" - keys = [ + keys: list[FullKey] = [ (("graph1", "node"), "key1"), (("graph2", "node"), "key2"), (("graph1", "other"), "key3"), @@ -142,7 +146,7 @@ class TestRedisCache: assert len(result) == 1 assert result[keys[1]] == {"result": 2} - def test_empty_operations(self): + def test_empty_operations(self) -> None: """Test behavior with empty keys/values.""" # Empty get result = self.cache.get([]) @@ -151,14 +155,14 @@ class TestRedisCache: # Empty set self.cache.set({}) # Should not raise error - def test_nonexistent_keys(self): + def test_nonexistent_keys(self) -> None: """Test getting keys that don't exist.""" - keys = [(("graph", "node"), "nonexistent")] + keys: list[FullKey] = [(("graph", "node"), "nonexistent")] result = self.cache.get(keys) assert len(result) == 0 @pytest.mark.asyncio - async def test_async_operations(self): + async def test_async_operations(self) -> None: """Test async set and get operations with sync Redis client.""" # Create sync Redis client and cache (like main integration tests) client = redis.Redis(host="localhost", port=6379, db=1, decode_responses=False) @@ -167,9 +171,9 @@ class TestRedisCache: except Exception: pytest.skip("Redis not available") - cache = RedisCache(client, prefix="test:async:") + cache: RedisCache = RedisCache(client, prefix="test:async:") - keys = [(("graph", "node"), "async_key")] + keys: list[FullKey] = [(("graph", "node"), "async_key")] values = {keys[0]: ({"async": True}, None)} # Async set (delegates to sync) @@ -184,7 +188,7 @@ class TestRedisCache: client.flushdb() @pytest.mark.asyncio - async def test_async_clear(self): + async def test_async_clear(self) -> None: """Test async clear operations with sync Redis client.""" # Create sync Redis client and cache (like main integration tests) client = redis.Redis(host="localhost", port=6379, db=1, decode_responses=False) @@ -193,9 +197,9 @@ class TestRedisCache: except Exception: pytest.skip("Redis not available") - cache = RedisCache(client, prefix="test:async:") + cache: RedisCache = RedisCache(client, prefix="test:async:") - keys = [(("graph", "node"), "key")] + keys: list[FullKey] = [(("graph", "node"), "key")] values = {keys[0]: ({"data": "test"}, None)} await cache.aset(values) @@ -214,44 +218,44 @@ class TestRedisCache: # Cleanup client.flushdb() - def test_redis_unavailable_get(self): + def test_redis_unavailable_get(self) -> None: """Test behavior when Redis is unavailable during get operations.""" # Create cache with non-existent Redis server bad_client = redis.Redis( host="nonexistent", port=9999, socket_connect_timeout=0.1 ) - cache = RedisCache(bad_client, prefix="test:cache:") + cache: RedisCache = RedisCache(bad_client, prefix="test:cache:") - keys = [(("graph", "node"), "key")] + keys: list[FullKey] = [(("graph", "node"), "key")] result = cache.get(keys) # Should return empty dict when Redis unavailable assert result == {} - def test_redis_unavailable_set(self): + def test_redis_unavailable_set(self) -> None: """Test behavior when Redis is unavailable during set operations.""" # Create cache with non-existent Redis server bad_client = redis.Redis( host="nonexistent", port=9999, socket_connect_timeout=0.1 ) - cache = RedisCache(bad_client, prefix="test:cache:") + cache: RedisCache = RedisCache(bad_client, prefix="test:cache:") - keys = [(("graph", "node"), "key")] + keys: list[FullKey] = [(("graph", "node"), "key")] values = {keys[0]: ({"data": "test"}, None)} # Should not raise exception when Redis unavailable cache.set(values) # Should silently fail @pytest.mark.asyncio - async def test_redis_unavailable_async(self): + async def test_redis_unavailable_async(self) -> None: """Test async behavior when Redis is unavailable.""" # Create sync cache with non-existent Redis server (like main integration tests) bad_client = redis.Redis( host="nonexistent", port=9999, socket_connect_timeout=0.1 ) - cache = RedisCache(bad_client, prefix="test:cache:") + cache: RedisCache = RedisCache(bad_client, prefix="test:cache:") - keys = [(("graph", "node"), "key")] + keys: list[FullKey] = [(("graph", "node"), "key")] values = {keys[0]: ({"data": "test"}, None)} # Should return empty dict for get (delegates to sync) @@ -261,10 +265,10 @@ class TestRedisCache: # Should not raise exception for set (delegates to sync) await cache.aset(values) # Should silently fail - def test_corrupted_data_handling(self): + def test_corrupted_data_handling(self) -> None: """Test handling of corrupted data in Redis.""" # Set some valid data first - keys = [(("graph", "node"), "valid_key")] + keys: list[FullKey] = [(("graph", "node"), "valid_key")] values = {keys[0]: ({"data": "valid"}, None)} self.cache.set(values) @@ -273,33 +277,36 @@ class TestRedisCache: self.client.set(corrupted_key, b"invalid:data:format:too:many:colons") # Should skip corrupted entry and return only valid ones - all_keys = [keys[0], (("graph", "node"), "corrupted_key")] + all_keys: list[FullKey] = [keys[0], (("graph", "node"), "corrupted_key")] result = self.cache.get(all_keys) assert len(result) == 1 assert result[keys[0]] == {"data": "valid"} - def test_key_parsing_edge_cases(self): + def test_key_parsing_edge_cases(self) -> None: """Test key parsing with edge cases.""" # Test empty namespace - key1 = ((), "empty_ns") + key1: FullKey = ((), "empty_ns") values = {key1: ({"data": "empty_ns"}, None)} self.cache.set(values) result = self.cache.get([key1]) assert result[key1] == {"data": "empty_ns"} # Test namespace with special characters - key2 = (("graph:with:colons", "node-with-dashes"), "key_with_underscores") + key2: FullKey = ( + ("graph:with:colons", "node-with-dashes"), + "key_with_underscores", + ) values = {key2: ({"data": "special_chars"}, None)} self.cache.set(values) result = self.cache.get([key2]) assert result[key2] == {"data": "special_chars"} - def test_large_data_serialization(self): + def test_large_data_serialization(self) -> None: """Test handling of large data objects.""" # Create a large data structure large_data = {"large_list": list(range(1000)), "nested": {"data": "x" * 1000}} - key = (("graph", "node"), "large_key") + key: FullKey = (("graph", "node"), "large_key") values = {key: (large_data, None)} self.cache.set(values) diff --git a/libs/checkpoint/tests/test_store.py b/libs/checkpoint/tests/test_store.py index 589eec0e4..1bdfc0408 100644 --- a/libs/checkpoint/tests/test_store.py +++ b/libs/checkpoint/tests/test_store.py @@ -1021,3 +1021,27 @@ async def test_embed_with_path(fake_embeddings: CharacterEmbeddings) -> None: assert len(results) == 3 doc5_result = next(r for r in results if r.key == "doc5") assert doc5_result.score is None + + +def test_non_ascii(fake_embeddings: CharacterEmbeddings) -> None: + """Test support for non-ascii characters""" + store = InMemoryStore( + index={"dims": fake_embeddings.dims, "embed": fake_embeddings} + ) + store.put(("user_123", "memories"), "1", {"text": "这是中文"}) # Chinese + store.put(("user_123", "memories"), "2", {"text": "これは日本語です"}) # Japanese + store.put(("user_123", "memories"), "3", {"text": "이건 한국어야"}) # Korean + store.put(("user_123", "memories"), "4", {"text": "Это русский"}) # Russian + store.put(("user_123", "memories"), "5", {"text": "यह रूसी है"}) # Hindi + + result1 = store.search(("user_123", "memories"), query="这是中文") + result2 = store.search(("user_123", "memories"), query="これは日本語です") + result3 = store.search(("user_123", "memories"), query="이건 한국어야") + result4 = store.search(("user_123", "memories"), query="Это русский") + result5 = store.search(("user_123", "memories"), query="यह रूसी है") + + assert result1[0].key == "1" + assert result2[0].key == "2" + assert result3[0].key == "3" + assert result4[0].key == "4" + assert result5[0].key == "5" From 4af07942ed689bdb888e34ec3dca945ae5ae3b9e Mon Sep 17 00:00:00 2001 From: William FH <13333726+hinthornw@users.noreply.github.com> Date: Tue, 9 Sep 2025 12:01:12 -0700 Subject: [PATCH 07/54] chore(ci): Run CI int tests in parallel (#5976) Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> --- .github/workflows/_integration_test.yml | 63 +++++++++---------------- 1 file changed, 23 insertions(+), 40 deletions(-) diff --git a/.github/workflows/_integration_test.yml b/.github/workflows/_integration_test.yml index b55e23664..89097d600 100644 --- a/.github/workflows/_integration_test.yml +++ b/.github/workflows/_integration_test.yml @@ -14,6 +14,19 @@ jobs: python-version: - "3.10" - "3.11" + example: + - name: A + workdir: libs/cli/examples + tag: langgraph-test-a + - name: B + workdir: libs/cli/examples/graphs + tag: langgraph-test-b + - name: C + workdir: libs/cli/examples/graphs_reqs_a + tag: langgraph-test-c + - name: D + workdir: libs/cli/examples/graphs_reqs_b + tag: langgraph-test-d name: "CLI integration test" defaults: run: @@ -33,54 +46,24 @@ jobs: enable-cache: true cache-suffix: "cli-integration-test" ignore-nothing-to-cache: true - - name: Setup env - if: steps.changed-files.outputs.all - working-directory: libs/cli/examples - run: cat .env.example > .env - name: Install cli globally if: steps.changed-files.outputs.all run: pip install -e . - - name: Build and test service A + - name: Build and test service ${{ matrix.example.name }} if: steps.changed-files.outputs.all - working-directory: libs/cli/examples + working-directory: ${{ matrix.example.workdir }} env: LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }} run: | - # The build-arg isn't used; just testing that we accept other args - langgraph build -t langgraph-test-a - cp .env.example .env + # Build the image for this example + langgraph build -t ${{ matrix.example.tag }} + # Prepare environment file from local or parent example directory + if [ -f .env.example ]; then cp .env.example .env; elif [ -f ../.env.example ]; then cp ../.env.example .env; fi if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi - timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -c langgraph.json -t langgraph-test-a - - name: Build and test service B - if: steps.changed-files.outputs.all - working-directory: libs/cli/examples/graphs - env: - LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }} - run: | - langgraph build -t langgraph-test-b - cp ../.env.example .env - if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi - timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-b - - name: Build and test service C - if: steps.changed-files.outputs.all - working-directory: libs/cli/examples/graphs_reqs_a - env: - LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }} - run: | - langgraph build -t langgraph-test-c - cp ../.env.example .env - if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi - timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-c - - name: Build and test service D - if: steps.changed-files.outputs.all - working-directory: libs/cli/examples/graphs_reqs_b - env: - LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }} - run: | - langgraph build -t langgraph-test-d - cp ../.env.example .env - if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi - timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-d + # Run the integration test using the built tag + # Compute repo root to reference the shared script robustly + REPO_ROOT=$(git rev-parse --show-toplevel) + timeout 60 python "$REPO_ROOT/.github/scripts/run_langgraph_cli_test.py" -t ${{ matrix.example.tag }} - name: Build JS service if: steps.changed-files.outputs.all From 20581e61c05b74791a0eba79fd2c4be747fa4fe8 Mon Sep 17 00:00:00 2001 From: Eyal Schuller Date: Wed, 10 Sep 2025 00:41:51 +0300 Subject: [PATCH 08/54] fix(checkpoint-postgres): export PoolConfig from package init (#5934) ### Description Export PoolConfig from langgraph.store.postgres.__init__ so the documented import from langgraph.store.postgres import AsyncPostgresStore, PoolConfig works as shown in the AsyncPostgresStore examples. This resolves a docs vs. code inconsistency without changing behavior. ### Issue N/A ### Dependencies: None --------- Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com> Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> --- libs/checkpoint-postgres/langgraph/store/postgres/__init__.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/libs/checkpoint-postgres/langgraph/store/postgres/__init__.py b/libs/checkpoint-postgres/langgraph/store/postgres/__init__.py index 47b7836d2..d0432b588 100644 --- a/libs/checkpoint-postgres/langgraph/store/postgres/__init__.py +++ b/libs/checkpoint-postgres/langgraph/store/postgres/__init__.py @@ -1,4 +1,4 @@ from langgraph.store.postgres.aio import AsyncPostgresStore -from langgraph.store.postgres.base import PostgresStore +from langgraph.store.postgres.base import PoolConfig, PostgresStore -__all__ = ["AsyncPostgresStore", "PostgresStore"] +__all__ = ["AsyncPostgresStore", "PoolConfig", "PostgresStore"] From 7170e04aa6f2193fdafedc8b22ffa84ace3988cf Mon Sep 17 00:00:00 2001 From: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> Date: Tue, 9 Sep 2025 18:17:11 -0400 Subject: [PATCH 09/54] chore: update issue templates to redirect docs stuff (#6119) --- .github/ISSUE_TEMPLATE/config.yml | 5 ++++- .github/ISSUE_TEMPLATE/documentation.yml | 19 ------------------- 2 files changed, 4 insertions(+), 20 deletions(-) delete mode 100644 .github/ISSUE_TEMPLATE/documentation.yml diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml index 8ab0b8d23..0273d1555 100644 --- a/.github/ISSUE_TEMPLATE/config.yml +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -1,6 +1,9 @@ blank_issues_enabled: false version: 2.1 contact_links: + - name: Documentation + url: https://github.com/langchain-ai/docs/issues/new + about: Report an issue related to the LangGraph documentation - name: LangChain Forum url: https://forum.langchain.com/ - about: General community discussions, support, and feature requests + about: General community discussions and support diff --git a/.github/ISSUE_TEMPLATE/documentation.yml b/.github/ISSUE_TEMPLATE/documentation.yml deleted file mode 100644 index fa48adb58..000000000 --- a/.github/ISSUE_TEMPLATE/documentation.yml +++ /dev/null @@ -1,19 +0,0 @@ -name: Documentation -description: Report an issue related to the LangGraph documentation. -title: "DOC: " -labels: [documentation] - -body: -- type: textarea - attributes: - label: "Issue with current documentation:" - description: > - Please make sure to leave a reference to the document/code you're - referring to. - -- type: textarea - attributes: - label: "Idea or request for content:" - description: > - Please describe as clearly as possible what topics you think are missing - from the current documentation. \ No newline at end of file From d9328027f966c29ac7d9b8626b91f82a1e30e4a4 Mon Sep 17 00:00:00 2001 From: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> Date: Tue, 9 Sep 2025 18:20:15 -0400 Subject: [PATCH 10/54] fix: use langgraph template for docs issue (#6121) --- .github/ISSUE_TEMPLATE/config.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml index 0273d1555..cd9f8270a 100644 --- a/.github/ISSUE_TEMPLATE/config.yml +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -2,7 +2,7 @@ blank_issues_enabled: false version: 2.1 contact_links: - name: Documentation - url: https://github.com/langchain-ai/docs/issues/new + url: https://github.com/langchain-ai/docs/issues/new?template=langgraph.yml about: Report an issue related to the LangGraph documentation - name: LangChain Forum url: https://forum.langchain.com/ From 6037f0210fa79745a8a08c544e8b276fcbe997e2 Mon Sep 17 00:00:00 2001 From: Lauren Hirata Singh Date: Tue, 9 Sep 2025 20:33:11 -0400 Subject: [PATCH 11/54] docs: Update banner for docs deprecation notice (#6120) --- docs/overrides/main.html | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/overrides/main.html b/docs/overrides/main.html index 54909ed89..e2089ffe0 100644 --- a/docs/overrides/main.html +++ b/docs/overrides/main.html @@ -291,7 +291,7 @@ j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= } .md-banner { - background-color: #CFC9FA; + background-color: #FFAE42; color: #000000; } @@ -360,5 +360,5 @@ j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= {% endblock %} {% block announce %} -Our new LangChain Academy Course Deep Research with LangGraph is now live! Enroll for free. +These docs will be deprecated and removed with the release of LangGraph v1.0 in October 2025. Visit the v1.0 alpha docs {% endblock %} From 326fd55e4f29a6b2d8127f416410bcd21efe2643 Mon Sep 17 00:00:00 2001 From: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> Date: Wed, 10 Sep 2025 08:19:33 -0400 Subject: [PATCH 12/54] fix(langgraph): key error on runtime for config w/o configurable (#6106) Fixes https://github.com/langchain-ai/langgraph/issues/6072 Long term we probably want a more robust approach to configurable management in terms of required / not required attributes. --- .../langgraph/langgraph/_internal/_runnable.py | 4 ++-- libs/langgraph/tests/test_runnable.py | 18 ++++++++++++++++++ 2 files changed, 20 insertions(+), 2 deletions(-) diff --git a/libs/langgraph/langgraph/_internal/_runnable.py b/libs/langgraph/langgraph/_internal/_runnable.py index 82db24e92..f4bce0b2a 100644 --- a/libs/langgraph/langgraph/_internal/_runnable.py +++ b/libs/langgraph/langgraph/_internal/_runnable.py @@ -345,7 +345,7 @@ class RunnableCallable(Runnable): args = (input,) kwargs = {**self.kwargs, **kwargs} - runtime = config[CONF].get(CONFIG_KEY_RUNTIME) + runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME) for kw, (runtime_key, default) in self.func_accepts.items(): # If the kwarg is already set, use the set value @@ -417,7 +417,7 @@ class RunnableCallable(Runnable): args = (input,) kwargs = {**self.kwargs, **kwargs} - runtime = config[CONF].get(CONFIG_KEY_RUNTIME) + runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME) for kw, (runtime_key, default) in self.func_accepts.items(): # If the kwarg has already been set, use the set value diff --git a/libs/langgraph/tests/test_runnable.py b/libs/langgraph/tests/test_runnable.py index b7b85f894..35eb53c1c 100644 --- a/libs/langgraph/tests/test_runnable.py +++ b/libs/langgraph/tests/test_runnable.py @@ -394,3 +394,21 @@ def test_config_injection() -> None: assert RunnableCallable(func_untyped).invoke( "test", config={"tags": ["test"], "configurable": {}} ) == ["test"] + + +def test_config_ensured() -> None: + def func(input: str, config: RunnableConfig) -> None: + assert input == "test" + assert config is not None + assert config.get("configurable") is not None + + RunnableCallable(func).invoke("test") + + +async def test_config_ensured_async() -> None: + async def func(input: str, config: RunnableConfig) -> None: + assert input == "test" + assert config is not None + assert config.get("configurable") is not None + + await RunnableCallable(func).ainvoke("test") From a43acc33bd913095b6180082469bedd38323a182 Mon Sep 17 00:00:00 2001 From: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> Date: Wed, 10 Sep 2025 08:31:11 -0400 Subject: [PATCH 13/54] feat(langgraph): prevent arbitrary resumes w/ multiple pending interrupts (#6108) The idea here is that we don't want to allow resuming a graph w/ an arbitrary resume value if there are multiple interrupts in the queue, because the order in which interrupts enter the queue is not deterministic. We want to instead enforce that each resume value is mapped to an interrupt id. Instead, when multiple interrupts are present, a user should invoke w/ a resume map, mapping interrupt id -> resume value. The logic was more complex than expected because there are 2 copies of an interrupt in `checkpoint_pending_writes` for the cases w/ the functional API, because an interrupt in a task interrupts the task and entrypoint. This is technically breaking (users resuming multiple hanging interrupts w/ multiple resume calls can no longer do this... but the behavior for this case was non-deterministic in the first place so we can sell this as a fix). --- libs/langgraph/langgraph/pregel/_loop.py | 58 ++++++++++++++++++---- libs/langgraph/tests/test_pregel.py | 60 ++++++++++++++++++++++- libs/langgraph/tests/test_pregel_async.py | 49 ++++++++++++++++++ 3 files changed, 155 insertions(+), 12 deletions(-) diff --git a/libs/langgraph/langgraph/pregel/_loop.py b/libs/langgraph/langgraph/pregel/_loop.py index c9300f3d4..b0c98a5e3 100644 --- a/libs/langgraph/langgraph/pregel/_loop.py +++ b/libs/langgraph/langgraph/pregel/_loop.py @@ -568,6 +568,36 @@ class PregelLoop: if task := tasks.get(tid): task.writes.append((k, v)) + def _pending_interrupts(self) -> set[str]: + """Return the set of interrupt ids that are pending without corresponding resume values.""" + # mapping of task ids to interrupt ids + pending_interrupts: dict[str, str] = {} + + # set of resume task ids + pending_resumes: set[str] = set() + + for task_id, write_type, value in self.checkpoint_pending_writes: + if write_type == INTERRUPT: + # interrupts is always a list, but there should only be one element + pending_interrupts[task_id] = value[0].id + elif write_type == RESUME: + pending_resumes.add(task_id) + + resumed_interrupt_ids = { + pending_interrupts[task_id] + for task_id in pending_resumes + if task_id in pending_interrupts + } + + # Keep only interrupts whose interrupt_id is not resumed + hanging_interrupts: set[str] = { + interrupt_id + for interrupt_id in pending_interrupts.values() + if interrupt_id not in resumed_interrupt_ids + } + + return hanging_interrupts + def _first( self, *, input_keys: str | Sequence[str], updated_channels: set[str] | None ) -> set[str] | None: @@ -590,16 +620,24 @@ class PregelLoop: # map command to writes if isinstance(self.input, Command): - if resume_is_map := ( - (resume := self.input.resume) is not None - and isinstance(resume, dict) - and all(is_xxh3_128_hexdigest(k) for k in resume) - ): - self.config[CONF][CONFIG_KEY_RESUME_MAP] = self.input.resume - if resume is not None and not self.checkpointer: - raise RuntimeError( - "Cannot use Command(resume=...) without checkpointer" - ) + if (resume := self.input.resume) is not None: + if not self.checkpointer: + raise RuntimeError( + "Cannot use Command(resume=...) without checkpointer" + ) + + if resume_is_map := ( + isinstance(resume, dict) + and all(is_xxh3_128_hexdigest(k) for k in resume) + ): + self.config[CONF][CONFIG_KEY_RESUME_MAP] = resume + else: + if len(self._pending_interrupts()) > 1: + raise RuntimeError( + "When there are multiple pending interrupts, you must specify the interrupt id when resuming. " + "Docs: https://docs.langchain.com/oss/python/langgraph/add-human-in-the-loop#resume-multiple-interrupts-with-one-invocation." + ) + writes: defaultdict[str, list[tuple[str, Any]]] = defaultdict(list) # group writes by task ID for tid, c, v in map_command(cmd=self.input): diff --git a/libs/langgraph/tests/test_pregel.py b/libs/langgraph/tests/test_pregel.py index 8c9dda4fa..cbf6d03b6 100644 --- a/libs/langgraph/tests/test_pregel.py +++ b/libs/langgraph/tests/test_pregel.py @@ -7222,7 +7222,11 @@ def test_parallel_interrupts(sync_checkpointer: BaseCheckpointSaver) -> None: # get human input and resume if len(current_interrupts) > 0: - current_input = Command(resume=f"Resume #{invokes}") + # we resume one at a time to preserve original test behavior, + # but we could also resume all at once if we wanted + # with a single dict mapping of interrupt ids to resume values + resume = {current_interrupts[0].id: f"Resume #{invokes}"} + current_input = Command(resume=resume) # not more human input required, must be completed else: @@ -7383,7 +7387,11 @@ def test_parallel_interrupts_double(sync_checkpointer: BaseCheckpointSaver) -> N # get human input and resume if len(current_interrupts) > 0: - current_input = Command(resume=f"Resume #{invokes}") + # we resume one at a time to preserve original test behavior, + # but we could also resume all at once if we wanted + # with a single dict mapping of interrupt ids to resume values + resume = {current_interrupts[0].id: f"Resume #{invokes}"} + current_input = Command(resume=resume) # not more human input required, must be completed else: @@ -8333,3 +8341,51 @@ def test_subgraph_streaming_sync() -> None: assert result["last_chunk"].content == "today." assert result["num_chunks"] == 9 + + +def test_null_resume_disallowed_with_multiple_interrupts( + sync_checkpointer: BaseCheckpointSaver, +) -> None: + class State(TypedDict): + text_1: str + text_2: str + + def human_node_1(state: State): + value = interrupt({"text_to_revise": state["text_1"]}) + return {"text_1": value} + + def human_node_2(state: State): + value = interrupt({"text_to_revise": state["text_2"]}) + return {"text_2": value} + + graph_builder = StateGraph(State) + graph_builder.add_node("human_node_1", human_node_1) + graph_builder.add_node("human_node_2", human_node_2) + + # Add both nodes in parallel from START + graph_builder.add_edge(START, "human_node_1") + graph_builder.add_edge(START, "human_node_2") + + checkpointer = InMemorySaver() + graph = graph_builder.compile(checkpointer=checkpointer) + + thread_id = str(uuid.uuid4()) + config: RunnableConfig = {"configurable": {"thread_id": thread_id}} + graph.invoke( + {"text_1": "original text 1", "text_2": "original text 2"}, config=config + ) + + resume_map = { + i.id: f"resume for prompt: {i.value['text_to_revise']}" + for i in graph.get_state(config).interrupts + } + with pytest.raises( + RuntimeError, + match="When there are multiple pending interrupts, you must specify the interrupt id when resuming.", + ): + graph.invoke(Command(resume="singular resume"), config=config) + + assert graph.invoke(Command(resume=resume_map), config=config) == { + "text_1": "resume for prompt: original text 1", + "text_2": "resume for prompt: original text 2", + } diff --git a/libs/langgraph/tests/test_pregel_async.py b/libs/langgraph/tests/test_pregel_async.py index 6d42a0244..b5bd272af 100644 --- a/libs/langgraph/tests/test_pregel_async.py +++ b/libs/langgraph/tests/test_pregel_async.py @@ -9107,3 +9107,52 @@ async def test_subgraph_streaming_async() -> None: assert result["last_chunk"].content == "today." assert result["num_chunks"] == 9 + + +@NEEDS_CONTEXTVARS +async def test_null_resume_disallowed_with_multiple_interrupts( + async_checkpointer: BaseCheckpointSaver, +) -> None: + class State(TypedDict): + text_1: str + text_2: str + + async def human_node_1(state: State): + value = interrupt(state["text_1"]) + return {"text_1": value} + + async def human_node_2(state: State): + value = interrupt(state["text_2"]) + return {"text_2": value} + + graph_builder = StateGraph(State) + graph_builder.add_node("human_node_1", human_node_1) + graph_builder.add_node("human_node_2", human_node_2) + + # Add both nodes in parallel from START + graph_builder.add_edge(START, "human_node_1") + graph_builder.add_edge(START, "human_node_2") + + checkpointer = InMemorySaver() + graph = graph_builder.compile(checkpointer=checkpointer) + + thread_id = str(uuid.uuid4()) + config: RunnableConfig = {"configurable": {"thread_id": thread_id}} + await graph.ainvoke( + {"text_1": "original text 1", "text_2": "original text 2"}, config=config + ) + + resume_map = { + i.id: f"resume for prompt: {i.value}" + for i in (await graph.aget_state(config)).interrupts + } + with pytest.raises( + RuntimeError, + match="When there are multiple pending interrupts, you must specify the interrupt id when resuming.", + ): + await graph.ainvoke(Command(resume="singular resume"), config=config) + + assert await graph.ainvoke(Command(resume=resume_map), config=config) == { + "text_1": "resume for prompt: original text 1", + "text_2": "resume for prompt: original text 2", + } From 677d941bb62a5a6d1ff44e6bf3fe4db72b0fabee Mon Sep 17 00:00:00 2001 From: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> Date: Wed, 10 Sep 2025 11:26:02 -0400 Subject: [PATCH 14/54] fix(langgraph): type checking for async w/ functional API (#6126) Fixes https://github.com/langchain-ai/langgraph/issues/4140 Fixes https://github.com/langchain-ai/langgraph/issues/3310 --- libs/langgraph/langgraph/func/__init__.py | 17 +++++++++-------- libs/langgraph/langgraph/pregel/_call.py | 4 ++-- 2 files changed, 11 insertions(+), 10 deletions(-) diff --git a/libs/langgraph/langgraph/func/__init__.py b/libs/langgraph/langgraph/func/__init__.py index fd3245791..5505c1a05 100644 --- a/libs/langgraph/langgraph/func/__init__.py +++ b/libs/langgraph/langgraph/func/__init__.py @@ -1,7 +1,5 @@ from __future__ import annotations -import asyncio -import concurrent.futures import functools import inspect import warnings @@ -49,7 +47,7 @@ __all__ = ("task", "entrypoint") class _TaskFunction(Generic[P, T]): def __init__( self, - func: Callable[P, T], + func: Callable[P, Awaitable[T]] | Callable[P, T], *, retry_policy: Sequence[RetryPolicy], cache_policy: CachePolicy[Callable[P, str | bytes]] | None = None, @@ -60,7 +58,7 @@ class _TaskFunction(Generic[P, T]): # handle class methods # NOTE: we're modifying the instance method to avoid modifying # the original class method in case it's shared across multiple tasks - instance_method = functools.partial(func.__func__, func.__self__) # type: ignore [attr-defined] + instance_method = functools.partial(func.__func__, func.__self__) # type: ignore [union-attr] instance_method.__name__ = name # type: ignore [attr-defined] func = instance_method else: @@ -95,6 +93,7 @@ class _TaskFunction(Generic[P, T]): @overload def task( + __func_or_none__: None = None, *, name: str | None = None, retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None, @@ -107,9 +106,11 @@ def task( @overload -def task( - __func_or_none__: Callable[P, Awaitable[T]] | Callable[P, T], -) -> _TaskFunction[P, T]: ... +def task(__func_or_none__: Callable[P, Awaitable[T]]) -> _TaskFunction[P, T]: ... + + +@overload +def task(__func_or_none__: Callable[P, T]) -> _TaskFunction[P, T]: ... def task( @@ -200,7 +201,7 @@ def task( def decorator( func: Callable[P, Awaitable[T]] | Callable[P, T], - ) -> Callable[P, concurrent.futures.Future[T]] | Callable[P, asyncio.Future[T]]: + ) -> Callable[P, SyncAsyncFuture[T]]: return _TaskFunction( func, retry_policy=retry_policies, cache_policy=cache_policy, name=name ) diff --git a/libs/langgraph/langgraph/pregel/_call.py b/libs/langgraph/langgraph/pregel/_call.py index 5956160aa..ba723e512 100644 --- a/libs/langgraph/langgraph/pregel/_call.py +++ b/libs/langgraph/langgraph/pregel/_call.py @@ -7,7 +7,7 @@ import functools import inspect import sys import types -from collections.abc import Generator, Sequence +from collections.abc import Awaitable, Generator, Sequence from typing import Any, Callable, Generic, TypeVar, cast from langchain_core.runnables import Runnable @@ -251,7 +251,7 @@ class SyncAsyncFuture(Generic[T], concurrent.futures.Future[T]): def call( - func: Callable[P, T], + func: Callable[P, Awaitable[T]] | Callable[P, T], *args: Any, retry_policy: Sequence[RetryPolicy] | None = None, cache_policy: CachePolicy | None = None, From bdef6b3f5d700d5cf8bbf0ffab06fa25f4792e61 Mon Sep 17 00:00:00 2001 From: Caspar Broekhuizen Date: Wed, 10 Sep 2025 08:28:33 -0700 Subject: [PATCH 15/54] fix(langgraph): get_graph generates unexpected conditional edge (#6122) ### Description * Fix `get_graph()` generating an unexpected conditional edge to `__end__` when the last step has a single (non-terminal) source and the graph is cyclic. ### Issue * There was a fallback path that was triggered in `draw_graph()` when, for a Pregel instance; no termini exist and there is only a single step source (the last one). In this case an edge was added: (last source) -> `__end__`, even when another node already had a valid edge: (node) -> `__end__`. See this example:
code ```python from langgraph.graph import END, START, StateGraph from pydantic import BaseModel class State(TypedDict): messages: list[str] def chatbot_node(state: State) -> State: return {"messages": state["messages"] + ["chatbot"]} def tools_node(state: State) -> State: return {"messages": state["messages"] + ["tools"]} def human_node(state: State) -> State: return {"messages": state["messages"] + ["human"]} def tools_condition(_: State) -> str: return "tools" def end_condition(_: State) -> str: return "chatbot" workflow = StateGraph(State) workflow.add_node("chatbot", chatbot_node) workflow.add_node("tools", tools_node) workflow.add_node("human", human_node) workflow.add_edge(START, "human") workflow.add_edge("tools", "chatbot") # graph_builder.add_edge("chatbot", "human") !!! workflow.add_conditional_edges( "chatbot", tools_condition, {"tools": "tools", "human": "human"} ) workflow.add_conditional_edges( "human", end_condition, {"chatbot": "chatbot", END: END} ) app = workflow.compile() mermaid = app.get_graph().draw_mermaid() ```
The code above, as-is, generates the graph on the left. There is an unexpected conditional edge: chatbot -> `__end__`. If you uncomment the commented line and introduce a static edge: chatbot -> human, `get_graph()` returns the correct representation: 1 Without `graph_builder.add_edge("chatbot", "human")` | 2 With `graph_builder.add_edge("chatbot", "human")` :-------------------------:|:-------------------------: ![](https://github.com/user-attachments/assets/aa3149c2-ceee-4c0c-9c0c-e999caf042f0) | ![](https://github.com/user-attachments/assets/ea53287f-1d68-47d6-8b36-9ec7ca1d52fa) * In case 1), the graph is cyclic so termini is empty, and the last `step_sources` set during the static walk contains only the chatbot node, so an edge is added: chatbot -> `__end__`. * In case 2), the graph is cyclic so termini is empty, and the last `step_sources` set during the static walk contains only the human node, so an edge is added: human -> `__end__`, but `add_edge()` dedups (the edge already exists) so the graph appears correct. ### Solution * Check that no valid edges: (node) -> `__end__` exist before triggering the fallback path and creating an edge. Before | After :-------------------------:|:-------------------------: ![](https://github.com/user-attachments/assets/aa3149c2-ceee-4c0c-9c0c-e999caf042f0) | ![](https://github.com/user-attachments/assets/9de4ab4f-6503-4894-bfda-37aba1d1be05) After: The graph is cyclic so termini is empty, and the last `step_sources` contains the chatbot node, but an edge already exists: human -> `__end__`, so no more edges are added. ### Tests * `test_get_graph_nonterminal_last_step_source()` which asserts no unexpected edge to `__end__` is produced from the last nonterminal step source. ### Issue Closes #4394 --------- Co-authored-by: Sydney Runkle Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> --- libs/langgraph/langgraph/pregel/_draw.py | 3 +- .../tests/__snapshots__/test_pregel.ambr | 93 +++++++++++++++++++ libs/langgraph/tests/test_pregel.py | 40 ++++++++ 3 files changed, 135 insertions(+), 1 deletion(-) diff --git a/libs/langgraph/langgraph/pregel/_draw.py b/libs/langgraph/langgraph/pregel/_draw.py index b8ae73389..af6d03427 100644 --- a/libs/langgraph/langgraph/pregel/_draw.py +++ b/libs/langgraph/langgraph/pregel/_draw.py @@ -215,10 +215,11 @@ def draw_graph( termini = {d for _, d, _, _ in edges if d != END}.difference( s for s, _, _, _ in edges ) + end_edge_exists = any(d == END for _, d, _, _ in edges) if termini: for src in sorted(termini): add_edge(graph, src, END) - elif len(step_sources) == 1: + elif len(step_sources) == 1 and not end_edge_exists: for src in sorted(step_sources): add_edge(graph, src, END, conditional=True) # replace subgraphs diff --git a/libs/langgraph/tests/__snapshots__/test_pregel.ambr b/libs/langgraph/tests/__snapshots__/test_pregel.ambr index 5167d8924..b7dfbcd0e 100644 --- a/libs/langgraph/tests/__snapshots__/test_pregel.ambr +++ b/libs/langgraph/tests/__snapshots__/test_pregel.ambr @@ -795,6 +795,99 @@ ''' # --- +# name: test_get_graph_nonterminal_last_step_source + ''' + { + "edges": [ + { + "source": "__start__", + "target": "human" + }, + { + "conditional": true, + "source": "chatbot", + "target": "human" + }, + { + "conditional": true, + "source": "chatbot", + "target": "tools" + }, + { + "conditional": true, + "source": "human", + "target": "__end__" + }, + { + "conditional": true, + "source": "human", + "target": "chatbot" + }, + { + "source": "tools", + "target": "chatbot" + } + ], + "nodes": [ + { + "data": { + "id": [ + "langgraph", + "_internal", + "_runnable", + "RunnableCallable" + ], + "name": "__start__" + }, + "id": "__start__", + "type": "runnable" + }, + { + "data": { + "id": [ + "langgraph", + "_internal", + "_runnable", + "RunnableCallable" + ], + "name": "chatbot" + }, + "id": "chatbot", + "type": "runnable" + }, + { + "data": { + "id": [ + "langgraph", + "_internal", + "_runnable", + "RunnableCallable" + ], + "name": "tools" + }, + "id": "tools", + "type": "runnable" + }, + { + "data": { + "id": [ + "langgraph", + "_internal", + "_runnable", + "RunnableCallable" + ], + "name": "human" + }, + "id": "human", + "type": "runnable" + }, + { + "id": "__end__" + } + ] + } + ''' +# --- # name: test_repeat_condition ''' graph TD; diff --git a/libs/langgraph/tests/test_pregel.py b/libs/langgraph/tests/test_pregel.py index cbf6d03b6..7cc67bd35 100644 --- a/libs/langgraph/tests/test_pregel.py +++ b/libs/langgraph/tests/test_pregel.py @@ -8343,6 +8343,46 @@ def test_subgraph_streaming_sync() -> None: assert result["num_chunks"] == 9 +def test_get_graph_nonterminal_last_step_source(snapshot: SnapshotAssertion) -> None: + class State(TypedDict): + messages: list[str] + + def chatbot_node(state: State) -> State: + return {"messages": state["messages"] + ["chatbot"]} + + def tools_node(state: State) -> State: + return {"messages": state["messages"] + ["tools"]} + + def human_node(state: State) -> State: + return {"messages": state["messages"] + ["human"]} + + def tools_condition(_: State) -> str: + return "tools" + + def end_condition(_: State) -> str: + return "chatbot" + + workflow = StateGraph(State) + workflow.add_node("chatbot", chatbot_node) + workflow.add_node("tools", tools_node) + workflow.add_node("human", human_node) + + workflow.add_edge(START, "human") + workflow.add_edge("tools", "chatbot") + + workflow.add_conditional_edges( + "chatbot", tools_condition, {"tools": "tools", "human": "human"} + ) + workflow.add_conditional_edges( + "human", end_condition, {"chatbot": "chatbot", END: END} + ) + + app = workflow.compile() + graph = app.get_graph() + graph_json = graph.to_json() + + assert json.dumps(graph_json, indent=2, sort_keys=True) == snapshot + def test_null_resume_disallowed_with_multiple_interrupts( sync_checkpointer: BaseCheckpointSaver, ) -> None: From f087567853829e0c3a3e608e2cd5501a97aaefac Mon Sep 17 00:00:00 2001 From: Sarath ak Date: Thu, 11 Sep 2025 00:01:07 +0530 Subject: [PATCH 16/54] fix(cli): handle Docker SemVer build metadata in version parsing #5965 (#6024) Description: Corrects _parse_version to support Docker versions with SemVer build metadata (e.g., 28.1.1+1), resolving #5965. Adds comprehensive unit tests for version parsing, including normal, v-prefixed, prerelease, build metadata, combined prerelease/build metadata, and edge cases with missing components. Issue: Closes #5965 Dependencies: None --------- Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> --- libs/cli/langgraph_cli/docker.py | 4 +++- libs/cli/tests/unit_tests/test_docker.py | 22 ++++++++++++++++++++++ 2 files changed, 25 insertions(+), 1 deletion(-) diff --git a/libs/cli/langgraph_cli/docker.py b/libs/cli/langgraph_cli/docker.py index 614dc6369..17e37d323 100644 --- a/libs/cli/langgraph_cli/docker.py +++ b/libs/cli/langgraph_cli/docker.py @@ -40,7 +40,9 @@ def _parse_version(version: str) -> Version: patch = "0" else: major, minor, patch = parts - return Version(int(major.lstrip("v")), int(minor), int(patch.split("-")[0])) + return Version( + int(major.lstrip("v")), int(minor), int(patch.split("-")[0].split("+")[0]) + ) def check_capabilities(runner) -> DockerCapabilities: diff --git a/libs/cli/tests/unit_tests/test_docker.py b/libs/cli/tests/unit_tests/test_docker.py index b29118a26..b16d0df14 100644 --- a/libs/cli/tests/unit_tests/test_docker.py +++ b/libs/cli/tests/unit_tests/test_docker.py @@ -1,7 +1,10 @@ +import pytest + from langgraph_cli.docker import ( DEFAULT_POSTGRES_URI, DockerCapabilities, Version, + _parse_version, compose, ) from langgraph_cli.util import clean_empty_lines @@ -363,3 +366,22 @@ services: REDIS_URI: redis://langgraph-redis:6379 POSTGRES_URI: {DEFAULT_POSTGRES_URI}""" assert clean_empty_lines(actual_compose_str) == expected_compose_str + + +@pytest.mark.parametrize( + "input_str,expected", + [ + ("1.2.3", Version(1, 2, 3)), + ("v1.2.3", Version(1, 2, 3)), + ("1.2.3-alpha", Version(1, 2, 3)), + ("1.2.3+1", Version(1, 2, 3)), + ("1.2.3-alpha+build", Version(1, 2, 3)), + ("1.2", Version(1, 2, 0)), + ("1", Version(1, 0, 0)), + ("v28.1.1+1", Version(28, 1, 1)), + ("2.0.0-beta.1+exp.sha.5114f85", Version(2, 0, 0)), + ("v3.4.5-rc1+build.123", Version(3, 4, 5)), + ], +) +def test_parse_version_w_edge_cases(input_str, expected): + assert _parse_version(input_str) == expected From c6179ca9d5af8ccea8794889c000a37f4177f05d Mon Sep 17 00:00:00 2001 From: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Date: Wed, 10 Sep 2025 16:45:49 -0700 Subject: [PATCH 17/54] fix(cli): fix CLI integration test (#6129) CLI integration tests were failing due to missing env vars, just needed to copy to the places where the build commands were running from --- .github/workflows/_integration_test.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/_integration_test.yml b/.github/workflows/_integration_test.yml index 89097d600..5655ae9e9 100644 --- a/.github/workflows/_integration_test.yml +++ b/.github/workflows/_integration_test.yml @@ -58,8 +58,8 @@ jobs: # Build the image for this example langgraph build -t ${{ matrix.example.tag }} # Prepare environment file from local or parent example directory - if [ -f .env.example ]; then cp .env.example .env; elif [ -f ../.env.example ]; then cp ../.env.example .env; fi - if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi + if [ -f .env.example ]; then cp .env.example .env; elif [ -f ../.env.example ]; then cp ../.env.example .env && cp ../.env.example ../.env; fi + if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; if [ -f ../.env ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> ../.env; fi; fi # Run the integration test using the built tag # Compute repo root to reference the shared script robustly REPO_ROOT=$(git rev-parse --show-toplevel) From 77a63608d104de091359d355b55728282ea99ffb Mon Sep 17 00:00:00 2001 From: Tadeo Donegana Braunschweig <75747222+tadeodonegana@users.noreply.github.com> Date: Fri, 12 Sep 2025 11:56:01 -0300 Subject: [PATCH 18/54] docs: Update broken link in persistence_postgres.ipynb (#6135) * Updated the relocation notice in `examples/persistence_postgres.ipynb` to reference the correct new documentation at `add-memory.md` instead of the previous notebook link. --- examples/persistence_postgres.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/persistence_postgres.ipynb b/examples/persistence_postgres.ipynb index ad18f0d57..7081e2ef3 100644 --- a/examples/persistence_postgres.ipynb +++ b/examples/persistence_postgres.ipynb @@ -5,7 +5,7 @@ "id": "18526f23", "metadata": {}, "source": [ - "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/persistence_postgres.ipynb" + "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/memory/add-memory.md" ] } ], From b65140a8928697a515e4d5857f956aeeee12e29b Mon Sep 17 00:00:00 2001 From: William FH <13333726+hinthornw@users.noreply.github.com> Date: Fri, 12 Sep 2025 12:16:07 -0700 Subject: [PATCH 19/54] chore(cli): Add config schema (#6142) So you can IDE LSP support / autocompletion --- libs/cli/examples/graphs/langgraph.json | 1 + libs/cli/examples/graphs_reqs_a/langgraph.json | 1 + libs/cli/examples/graphs_reqs_b/langgraph.json | 1 + libs/cli/js-examples/langgraph.json | 1 + libs/cli/python-monorepo-example/apps/agent/langgraph.json | 1 + libs/langgraph/tests/example_app/langgraph.json | 2 +- 6 files changed, 6 insertions(+), 1 deletion(-) diff --git a/libs/cli/examples/graphs/langgraph.json b/libs/cli/examples/graphs/langgraph.json index 7ac0e3d67..fce75dd9e 100644 --- a/libs/cli/examples/graphs/langgraph.json +++ b/libs/cli/examples/graphs/langgraph.json @@ -1,4 +1,5 @@ { + "$schema": "https://langgra.ph/schema.json", "python_version": "3.12", "dependencies": [ "langchain_community", diff --git a/libs/cli/examples/graphs_reqs_a/langgraph.json b/libs/cli/examples/graphs_reqs_a/langgraph.json index a550d5823..c6215ae84 100644 --- a/libs/cli/examples/graphs_reqs_a/langgraph.json +++ b/libs/cli/examples/graphs_reqs_a/langgraph.json @@ -1,4 +1,5 @@ { + "$schema": "https://langgra.ph/schema.json", "dependencies": [ "." ], diff --git a/libs/cli/examples/graphs_reqs_b/langgraph.json b/libs/cli/examples/graphs_reqs_b/langgraph.json index a550d5823..c6215ae84 100644 --- a/libs/cli/examples/graphs_reqs_b/langgraph.json +++ b/libs/cli/examples/graphs_reqs_b/langgraph.json @@ -1,4 +1,5 @@ { + "$schema": "https://langgra.ph/schema.json", "dependencies": [ "." ], diff --git a/libs/cli/js-examples/langgraph.json b/libs/cli/js-examples/langgraph.json index ddb17babc..79f2b3673 100644 --- a/libs/cli/js-examples/langgraph.json +++ b/libs/cli/js-examples/langgraph.json @@ -1,4 +1,5 @@ { + "$schema": "https://langgra.ph/schema.json", "node_version": "20", "graphs": { "agent": "./src/agent/graph.ts:graph" diff --git a/libs/cli/python-monorepo-example/apps/agent/langgraph.json b/libs/cli/python-monorepo-example/apps/agent/langgraph.json index a02bcf929..10cf04d1d 100644 --- a/libs/cli/python-monorepo-example/apps/agent/langgraph.json +++ b/libs/cli/python-monorepo-example/apps/agent/langgraph.json @@ -1,4 +1,5 @@ { + "$schema": "https://langgra.ph/schema.json", "dependencies": [".", "../../libs/shared", "../../libs/common"], "graphs": { "agent": "./src/agent/graph.py:graph" diff --git a/libs/langgraph/tests/example_app/langgraph.json b/libs/langgraph/tests/example_app/langgraph.json index 5509e0d68..5d0a88e41 100644 --- a/libs/langgraph/tests/example_app/langgraph.json +++ b/libs/langgraph/tests/example_app/langgraph.json @@ -1,5 +1,5 @@ { - "$schema": "https://raw.githubusercontent.com/langchain-ai/langgraph/refs/heads/main/libs/cli/schemas/schema.json", + "$schema": "https://langgra.ph/schema.json", "graphs": { "app": "tests/example_app/example_graph.py:app" }, From a3ee8145399568d8b8aa708513f4ed9a522bc581 Mon Sep 17 00:00:00 2001 From: William FH <13333726+hinthornw@users.noreply.github.com> Date: Fri, 12 Sep 2025 14:05:07 -0700 Subject: [PATCH 20/54] chore(langgraph): Log when no values event is emitted from RemoteGraph (#6140) --- libs/langgraph/langgraph/pregel/remote.py | 5 +++++ libs/langgraph/tests/test_pregel.py | 1 + 2 files changed, 6 insertions(+) diff --git a/libs/langgraph/langgraph/pregel/remote.py b/libs/langgraph/langgraph/pregel/remote.py index 497adbe90..65ef470ae 100644 --- a/libs/langgraph/langgraph/pregel/remote.py +++ b/libs/langgraph/langgraph/pregel/remote.py @@ -1,5 +1,6 @@ from __future__ import annotations +import logging from collections.abc import AsyncIterator, Iterator, Sequence from dataclasses import asdict from typing import ( @@ -61,6 +62,8 @@ from langgraph.types import ( StreamMode, ) +logger = logging.getLogger(__name__) + __all__ = ("RemoteGraph", "RemoteException") _CONF_DROPLIST = frozenset( @@ -950,6 +953,7 @@ class RemoteGraph(PregelProtocol): try: return chunk except UnboundLocalError: + logger.warning("No events received from remote graph") return None async def ainvoke( @@ -990,6 +994,7 @@ class RemoteGraph(PregelProtocol): try: return chunk except UnboundLocalError: + logger.warning("No events received from remote graph") return None diff --git a/libs/langgraph/tests/test_pregel.py b/libs/langgraph/tests/test_pregel.py index 7cc67bd35..d60f6bdd0 100644 --- a/libs/langgraph/tests/test_pregel.py +++ b/libs/langgraph/tests/test_pregel.py @@ -8383,6 +8383,7 @@ def test_get_graph_nonterminal_last_step_source(snapshot: SnapshotAssertion) -> assert json.dumps(graph_json, indent=2, sort_keys=True) == snapshot + def test_null_resume_disallowed_with_multiple_interrupts( sync_checkpointer: BaseCheckpointSaver, ) -> None: From 0607dc46116f2836f5505a9196a47a4e7c00f71d Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Sun, 14 Sep 2025 19:11:30 -0400 Subject: [PATCH 21/54] chore(deps): bump hono from 4.9.6 to 4.9.7 in /docs/_scripts/js_translation/codeblocks (#6143) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bumps [hono](https://github.com/honojs/hono) from 4.9.6 to 4.9.7.
Release notes

Sourced from hono's releases.

v4.9.7

Security

  • Fixed an issue in the bodyLimit middleware where the body size limit could be bypassed when both Content-Length and Transfer-Encoding headers were present. If you are using this middleware, please update immediately. Security Advisory

What's Changed

New Contributors

Full Changelog: https://github.com/honojs/hono/compare/v4.9.6...v4.9.7

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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- .../codeblocks/.yarn/install-state.gz | Bin 293403 -> 293402 bytes .../js_translation/codeblocks/yarn.lock | 6 +++--- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/_scripts/js_translation/codeblocks/.yarn/install-state.gz b/docs/_scripts/js_translation/codeblocks/.yarn/install-state.gz index 625ab3e676f5a4c628a974ab4eda930f06a0dab8..372ab66c9eeb21043dcf821c7d7ceb7238a0b136 100644 GIT binary patch delta 238868 zcmV(xKY@hoOZ`%3(xHqZG0_P zXVuCV^VSk$k<9NS*qyU;ExxMNkDc$bK29gEo=e*MS!u{wVj=a`YO5u_)Z}>8>sm9~ zbxUWroH=gPFX|Opbl*oROZLm2wPtwjt8ej+?T#C9dEO;|k{0WrSEpoYU(Nma(Apfh zJGsb9&-Nf4OG`<;lj}0?xiKEkmh`$eYstyt%yVw)4WL9^IrTUgpw5X(xxs$7cmOS+~Cv#5B`d`k1TVUFNT^N$x9VL#M0R zeMAp0+H}r;VzI4~5^+^Z<^KHj<7x2JJIosE1)tUX^wahHq%xigA%0HpawYLpZlew} zS%-&BsYWDU9T_!dnm(Jkx955_Gw(&;-V*oZZFTRPO;cD)Ha+^t>DX)~LDUE3j46Oiu0_ 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resolution: "hono@npm:4.9.6" - checksum: 10c0/182a144eb3b9e05bd9e43d15af15c93f60d3d747fef6c6904b9993e9db8129ea7fadf6190331d6f76b1bf6dd2b2c3b13efea105236f541ef411397e30475422d + version: 4.9.7 + resolution: "hono@npm:4.9.7" + checksum: 10c0/089184660a9211ea216ab95bafa45260e371651cb019db49828064b7982b0ae61cc3c4715324bfeb9037aa2460c39ffa2c91d84ad0c8d500fa77cbcc7fc07a8f languageName: node linkType: hard From a19b74154aeadbaa6c26a0e17cfa22d022359cc5 Mon Sep 17 00:00:00 2001 From: Huaiwu Li Date: Sun, 14 Sep 2025 16:34:34 -0700 Subject: [PATCH 22/54] docs: Add missing merge parameter documentation in push_ui_message (#6145) **Description:** This PR adds missing documentation for the `merge` parameter in the `push_ui_message` function. The parameter was present in the function signature but lacked documentation in the docstring, which could confuse API users. Changes made: - Added clear documentation for the `merge` parameter - Explains the behavior difference between `merge=True` (merges props) and `merge=False` (replaces props) - Includes default value information **Issue:** N/A - Documentation improvement **Dependencies:** None --- libs/langgraph/langgraph/graph/ui.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/libs/langgraph/langgraph/graph/ui.py b/libs/langgraph/langgraph/graph/ui.py index f2fe5a1c2..5eb10e532 100644 --- a/libs/langgraph/langgraph/graph/ui.py +++ b/libs/langgraph/langgraph/graph/ui.py @@ -82,6 +82,8 @@ def push_ui_message( message: Optional message object to associate with the UI message. state_key: Key in the graph state where the UI messages are stored. Defaults to "ui". + merge: Whether to merge props with existing UI message (True) or replace + them (False). Defaults to False. Returns: The created UI message. From 8b55dff7a52540fece79f4ebf62d5c1457d72377 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Sun, 14 Sep 2025 19:36:43 -0400 Subject: [PATCH 23/54] chore(deps): upgrade dependencies with `uv lock --upgrade` (#6146) This PR updates the dependencies in all Python packages using `uv lock --upgrade`. This is an automated PR created by the UV Lock Upgrade workflow. To make tests pass: * linting fixes * whitespace fixes in snapshots --------- Co-authored-by: sydney-runkle <54324534+sydney-runkle@users.noreply.github.com> Co-authored-by: Sydney Runkle --- .github/workflows/uv_lock_ugprade.yml | 4 +- .../langgraph/checkpoint/postgres/__init__.py | 12 +- .../langgraph/checkpoint/postgres/aio.py | 12 +- .../langgraph/checkpoint/postgres/base.py | 3 +- .../langgraph/checkpoint/postgres/shallow.py | 20 +- .../langgraph/store/postgres/aio.py | 10 +- .../langgraph/store/postgres/base.py | 16 +- libs/checkpoint-postgres/tests/test_async.py | 10 +- .../tests/test_async_store.py | 4 +- libs/checkpoint-postgres/tests/test_store.py | 11 +- libs/checkpoint-postgres/tests/test_sync.py | 10 +- libs/checkpoint-postgres/uv.lock | 865 +++++------ .../langgraph/checkpoint/sqlite/__init__.py | 2 +- .../langgraph/checkpoint/sqlite/aio.py | 2 +- .../langgraph/checkpoint/sqlite/utils.py | 1 - .../langgraph/store/sqlite/aio.py | 2 +- .../langgraph/store/sqlite/base.py | 1 - .../checkpoint-sqlite/tests/test_aiosqlite.py | 2 +- .../tests/test_async_store.py | 2 +- libs/checkpoint-sqlite/tests/test_sqlite.py | 2 +- libs/checkpoint-sqlite/tests/test_store.py | 2 +- libs/checkpoint-sqlite/tests/test_ttl.py | 14 +- libs/checkpoint-sqlite/uv.lock | 748 +++++---- libs/checkpoint/uv.lock | 979 ++++++------ libs/cli/uv.lock | 509 +++--- libs/langgraph/Makefile | 2 +- libs/langgraph/bench/__main__.py | 2 +- libs/langgraph/bench/fanout_to_subgraph.py | 1 - libs/langgraph/bench/pydantic_state.py | 1 - libs/langgraph/bench/react_agent.py | 3 +- libs/langgraph/bench/wide_dict.py | 1 - libs/langgraph/bench/wide_state.py | 1 - libs/langgraph/langgraph/_internal/_config.py | 2 +- .../langgraph/_internal/_runnable.py | 2 +- libs/langgraph/langgraph/config.py | 2 +- libs/langgraph/langgraph/errors.py | 4 +- libs/langgraph/langgraph/func/__init__.py | 6 +- libs/langgraph/langgraph/graph/_node.py | 2 +- libs/langgraph/langgraph/graph/state.py | 6 +- libs/langgraph/langgraph/pregel/_algo.py | 30 +- .../langgraph/langgraph/pregel/_checkpoint.py | 5 +- libs/langgraph/langgraph/pregel/_draw.py | 2 +- libs/langgraph/langgraph/pregel/_loop.py | 22 +- libs/langgraph/langgraph/pregel/_read.py | 12 +- libs/langgraph/langgraph/pregel/_utils.py | 2 +- libs/langgraph/langgraph/pregel/debug.py | 2 +- libs/langgraph/langgraph/pregel/main.py | 14 +- libs/langgraph/langgraph/pregel/remote.py | 2 +- libs/langgraph/langgraph/runtime.py | 2 +- libs/langgraph/langgraph/types.py | 2 +- .../tests/__snapshots__/test_large_cases.ambr | 4 +- libs/langgraph/tests/conftest.py | 4 +- libs/langgraph/tests/conftest_checkpointer.py | 5 +- libs/langgraph/tests/conftest_store.py | 3 +- libs/langgraph/tests/memory_assert.py | 2 +- .../tests/test_checkpoint_migration.py | 2 +- .../tests/test_interrupt_migration.py | 2 +- libs/langgraph/tests/test_interruption.py | 2 +- libs/langgraph/tests/test_large_cases.py | 8 +- .../langgraph/tests/test_large_cases_async.py | 6 +- libs/langgraph/tests/test_pregel.py | 26 +- libs/langgraph/tests/test_pregel_async.py | 22 +- libs/langgraph/tests/test_remote_graph.py | 2 +- libs/langgraph/tests/test_runnable.py | 2 +- libs/langgraph/uv.lock | 1360 ++++++++--------- .../langgraph/prebuilt/chat_agent_executor.py | 8 +- libs/prebuilt/langgraph/prebuilt/tool_node.py | 5 +- .../langgraph/prebuilt/tool_validator.py | 3 +- libs/prebuilt/tests/conftest.py | 4 +- libs/prebuilt/tests/conftest_checkpointer.py | 6 +- libs/prebuilt/tests/conftest_store.py | 3 +- libs/prebuilt/tests/test_deprecation.py | 2 +- libs/prebuilt/tests/test_react_agent.py | 16 +- libs/prebuilt/tests/test_tool_node.py | 6 +- libs/prebuilt/uv.lock | 754 +++++---- libs/sdk-py/uv.lock | 314 ++-- 76 files changed, 2926 insertions(+), 3018 deletions(-) diff --git a/.github/workflows/uv_lock_ugprade.yml b/.github/workflows/uv_lock_ugprade.yml index 192afd7eb..b4c040b90 100644 --- a/.github/workflows/uv_lock_ugprade.yml +++ b/.github/workflows/uv_lock_ugprade.yml @@ -33,8 +33,8 @@ jobs: uses: peter-evans/create-pull-request@v7 with: token: ${{ secrets.GITHUB_TOKEN }} - commit-message: "chore[deps]: upgrade dependencies with `uv lock --upgrade`" - title: "chore[deps]: upgrade dependencies with `uv lock --upgrade`" + commit-message: "chore(deps): upgrade dependencies with `uv lock --upgrade`" + title: "chore(deps): upgrade dependencies with `uv lock --upgrade`" body: | This PR updates the dependencies in all Python packages using `uv lock --upgrade`. diff --git a/libs/checkpoint-postgres/langgraph/checkpoint/postgres/__init__.py b/libs/checkpoint-postgres/langgraph/checkpoint/postgres/__init__.py index de1d0b648..6a0ba0cc1 100644 --- a/libs/checkpoint-postgres/langgraph/checkpoint/postgres/__init__.py +++ b/libs/checkpoint-postgres/langgraph/checkpoint/postgres/__init__.py @@ -7,11 +7,6 @@ from contextlib import contextmanager from typing import Any from langchain_core.runnables import RunnableConfig -from psycopg import Capabilities, Connection, Cursor, Pipeline -from psycopg.rows import DictRow, dict_row -from psycopg.types.json import Jsonb -from psycopg_pool import ConnectionPool - from langgraph.checkpoint.base import ( WRITES_IDX_MAP, ChannelVersions, @@ -21,10 +16,15 @@ from langgraph.checkpoint.base import ( get_checkpoint_id, get_checkpoint_metadata, ) +from langgraph.checkpoint.serde.base import SerializerProtocol +from psycopg import Capabilities, Connection, Cursor, Pipeline +from psycopg.rows import DictRow, dict_row +from psycopg.types.json import Jsonb +from psycopg_pool import ConnectionPool + from langgraph.checkpoint.postgres import _internal from langgraph.checkpoint.postgres.base import BasePostgresSaver from langgraph.checkpoint.postgres.shallow import ShallowPostgresSaver -from langgraph.checkpoint.serde.base import SerializerProtocol Conn = _internal.Conn # For backward compatibility diff --git a/libs/checkpoint-postgres/langgraph/checkpoint/postgres/aio.py b/libs/checkpoint-postgres/langgraph/checkpoint/postgres/aio.py index e7c95c42b..1d7a9dff4 100644 --- a/libs/checkpoint-postgres/langgraph/checkpoint/postgres/aio.py +++ b/libs/checkpoint-postgres/langgraph/checkpoint/postgres/aio.py @@ -7,11 +7,6 @@ from contextlib import asynccontextmanager from typing import Any from langchain_core.runnables import RunnableConfig -from psycopg import AsyncConnection, AsyncCursor, AsyncPipeline, Capabilities -from psycopg.rows import DictRow, dict_row -from psycopg.types.json import Jsonb -from psycopg_pool import AsyncConnectionPool - from langgraph.checkpoint.base import ( WRITES_IDX_MAP, ChannelVersions, @@ -21,10 +16,15 @@ from langgraph.checkpoint.base import ( get_checkpoint_id, get_checkpoint_metadata, ) +from langgraph.checkpoint.serde.base import SerializerProtocol +from psycopg import AsyncConnection, AsyncCursor, AsyncPipeline, Capabilities +from psycopg.rows import DictRow, dict_row +from psycopg.types.json import Jsonb +from psycopg_pool import AsyncConnectionPool + from langgraph.checkpoint.postgres import _ainternal from langgraph.checkpoint.postgres.base import BasePostgresSaver from langgraph.checkpoint.postgres.shallow import AsyncShallowPostgresSaver -from langgraph.checkpoint.serde.base import SerializerProtocol Conn = _ainternal.Conn # For backward compatibility diff --git a/libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py b/libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py index 44b8ee397..b1ee5c9ce 100644 --- a/libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py +++ b/libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py @@ -5,8 +5,6 @@ from collections.abc import Sequence from typing import Any, Optional, cast from langchain_core.runnables import RunnableConfig -from psycopg.types.json import Jsonb - from langgraph.checkpoint.base import ( WRITES_IDX_MAP, BaseCheckpointSaver, @@ -14,6 +12,7 @@ from langgraph.checkpoint.base import ( get_checkpoint_id, ) from langgraph.checkpoint.serde.types import TASKS +from psycopg.types.json import Jsonb MetadataInput = Optional[dict[str, Any]] diff --git a/libs/checkpoint-postgres/langgraph/checkpoint/postgres/shallow.py b/libs/checkpoint-postgres/langgraph/checkpoint/postgres/shallow.py index 6626332b5..1abcaf96c 100644 --- a/libs/checkpoint-postgres/langgraph/checkpoint/postgres/shallow.py +++ b/libs/checkpoint-postgres/langgraph/checkpoint/postgres/shallow.py @@ -6,6 +6,16 @@ from contextlib import asynccontextmanager, contextmanager from typing import Any, Optional from langchain_core.runnables import RunnableConfig +from langgraph.checkpoint.base import ( + WRITES_IDX_MAP, + ChannelVersions, + Checkpoint, + CheckpointMetadata, + CheckpointTuple, + get_checkpoint_metadata, +) +from langgraph.checkpoint.serde.base import SerializerProtocol +from langgraph.checkpoint.serde.types import TASKS from psycopg import ( AsyncConnection, AsyncCursor, @@ -19,18 +29,8 @@ from psycopg.rows import DictRow, dict_row from psycopg.types.json import Jsonb from psycopg_pool import AsyncConnectionPool, ConnectionPool -from langgraph.checkpoint.base import ( - WRITES_IDX_MAP, - ChannelVersions, - Checkpoint, - CheckpointMetadata, - CheckpointTuple, - get_checkpoint_metadata, -) from langgraph.checkpoint.postgres import _ainternal, _internal from langgraph.checkpoint.postgres.base import BasePostgresSaver -from langgraph.checkpoint.serde.base import SerializerProtocol -from langgraph.checkpoint.serde.types import TASKS """ To add a new migration, add a new string to the MIGRATIONS list. diff --git a/libs/checkpoint-postgres/langgraph/store/postgres/aio.py b/libs/checkpoint-postgres/langgraph/store/postgres/aio.py index 65b316d13..c8d481bb5 100644 --- a/libs/checkpoint-postgres/langgraph/store/postgres/aio.py +++ b/libs/checkpoint-postgres/langgraph/store/postgres/aio.py @@ -8,11 +8,6 @@ from types import TracebackType from typing import Any, Callable, cast import orjson -from psycopg import AsyncConnection, AsyncCursor, AsyncPipeline, Capabilities -from psycopg.rows import DictRow, dict_row -from psycopg_pool import AsyncConnectionPool - -from langgraph.checkpoint.postgres import _ainternal from langgraph.store.base import ( GetOp, ListNamespacesOp, @@ -22,6 +17,11 @@ from langgraph.store.base import ( SearchOp, ) from langgraph.store.base.batch import AsyncBatchedBaseStore +from psycopg import AsyncConnection, AsyncCursor, AsyncPipeline, Capabilities +from psycopg.rows import DictRow, dict_row +from psycopg_pool import AsyncConnectionPool + +from langgraph.checkpoint.postgres import _ainternal from langgraph.store.postgres.base import ( PLACEHOLDER, BasePostgresStore, diff --git a/libs/checkpoint-postgres/langgraph/store/postgres/base.py b/libs/checkpoint-postgres/langgraph/store/postgres/base.py index c73d59753..7f16b79a5 100644 --- a/libs/checkpoint-postgres/langgraph/store/postgres/base.py +++ b/libs/checkpoint-postgres/langgraph/store/postgres/base.py @@ -22,14 +22,6 @@ from typing import ( ) import orjson -from psycopg import Capabilities, Connection, Cursor, Pipeline -from psycopg.rows import DictRow, dict_row -from psycopg.types.json import Jsonb -from psycopg_pool import ConnectionPool -from typing_extensions import TypedDict - -from langgraph.checkpoint.postgres import _ainternal as _ainternal -from langgraph.checkpoint.postgres import _internal as _pg_internal from langgraph.store.base import ( BaseStore, GetOp, @@ -46,6 +38,14 @@ from langgraph.store.base import ( get_text_at_path, tokenize_path, ) +from psycopg import Capabilities, Connection, Cursor, Pipeline +from psycopg.rows import DictRow, dict_row +from psycopg.types.json import Jsonb +from psycopg_pool import ConnectionPool +from typing_extensions import TypedDict + +from langgraph.checkpoint.postgres import _ainternal as _ainternal +from langgraph.checkpoint.postgres import _internal as _pg_internal if TYPE_CHECKING: from langchain_core.embeddings import Embeddings diff --git a/libs/checkpoint-postgres/tests/test_async.py b/libs/checkpoint-postgres/tests/test_async.py index fb3af3317..cb1d2fa55 100644 --- a/libs/checkpoint-postgres/tests/test_async.py +++ b/libs/checkpoint-postgres/tests/test_async.py @@ -6,10 +6,6 @@ from uuid import uuid4 import pytest from langchain_core.runnables import RunnableConfig -from psycopg import AsyncConnection -from psycopg.rows import dict_row -from psycopg_pool import AsyncConnectionPool - from langgraph.checkpoint.base import ( EXCLUDED_METADATA_KEYS, Checkpoint, @@ -17,11 +13,15 @@ from langgraph.checkpoint.base import ( create_checkpoint, empty_checkpoint, ) +from langgraph.checkpoint.serde.types import TASKS +from psycopg import AsyncConnection +from psycopg.rows import dict_row +from psycopg_pool import AsyncConnectionPool + from langgraph.checkpoint.postgres.aio import ( AsyncPostgresSaver, AsyncShallowPostgresSaver, ) -from langgraph.checkpoint.serde.types import TASKS from tests.conftest import DEFAULT_POSTGRES_URI diff --git a/libs/checkpoint-postgres/tests/test_async_store.py b/libs/checkpoint-postgres/tests/test_async_store.py index 1ea7df1b7..c046be74b 100644 --- a/libs/checkpoint-postgres/tests/test_async_store.py +++ b/libs/checkpoint-postgres/tests/test_async_store.py @@ -12,8 +12,6 @@ from typing import Any import pytest from langchain_core.embeddings import Embeddings -from psycopg import AsyncConnection - from langgraph.store.base import ( GetOp, Item, @@ -21,6 +19,8 @@ from langgraph.store.base import ( PutOp, SearchOp, ) +from psycopg import AsyncConnection + from langgraph.store.postgres import AsyncPostgresStore from tests.conftest import ( DEFAULT_URI, diff --git a/libs/checkpoint-postgres/tests/test_store.py b/libs/checkpoint-postgres/tests/test_store.py index 42bf50419..c59bab617 100644 --- a/libs/checkpoint-postgres/tests/test_store.py +++ b/libs/checkpoint-postgres/tests/test_store.py @@ -9,8 +9,6 @@ from uuid import uuid4 import pytest from langchain_core.embeddings import Embeddings -from psycopg import Connection - from langgraph.store.base import ( GetOp, Item, @@ -19,6 +17,8 @@ from langgraph.store.base import ( PutOp, SearchOp, ) +from psycopg import Connection + from langgraph.store.postgres import PostgresStore from tests.conftest import ( DEFAULT_URI, @@ -879,12 +879,7 @@ def test_non_ascii( distance_type: str, ) -> None: """Test support for non-ascii characters""" - with _create_vector_store( - vector_type, - distance_type, - fake_embeddings - ) as store: - + with _create_vector_store(vector_type, distance_type, fake_embeddings) as store: store.put(("user_123", "memories"), "1", {"text": "这是中文"}) # Chinese store.put( ("user_123", "memories"), "2", {"text": "これは日本語です"} diff --git a/libs/checkpoint-postgres/tests/test_sync.py b/libs/checkpoint-postgres/tests/test_sync.py index e6d2720e4..ef0fabc74 100644 --- a/libs/checkpoint-postgres/tests/test_sync.py +++ b/libs/checkpoint-postgres/tests/test_sync.py @@ -7,10 +7,6 @@ from uuid import uuid4 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b/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/__init__.py index e2907fe80..0a6ae06a5 100644 --- a/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/__init__.py +++ b/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/__init__.py @@ -8,7 +8,6 @@ from contextlib import closing, contextmanager from typing import Any, cast from langchain_core.runnables import RunnableConfig - from langgraph.checkpoint.base import ( WRITES_IDX_MAP, BaseCheckpointSaver, @@ -21,6 +20,7 @@ from langgraph.checkpoint.base import ( get_checkpoint_metadata, ) from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer + from langgraph.checkpoint.sqlite.utils import search_where _AIO_ERROR_MSG = ( diff --git a/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/aio.py b/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/aio.py index 1f40c6229..4a8a6b782 100644 --- a/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/aio.py +++ b/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/aio.py @@ -8,7 +8,6 @@ from typing import Any, Callable, TypeVar, cast import aiosqlite from langchain_core.runnables import RunnableConfig - from langgraph.checkpoint.base import ( WRITES_IDX_MAP, BaseCheckpointSaver, @@ -21,6 +20,7 @@ from langgraph.checkpoint.base import ( get_checkpoint_metadata, ) from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer + from langgraph.checkpoint.sqlite.utils import search_where T = TypeVar("T", bound=Callable) diff --git a/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/utils.py b/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/utils.py index 9ab45d289..a3b8b7cec 100644 --- a/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/utils.py +++ b/libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/utils.py @@ -5,7 +5,6 @@ from collections.abc import Sequence from typing import Any from langchain_core.runnables import RunnableConfig - from langgraph.checkpoint.base import get_checkpoint_id diff --git a/libs/checkpoint-sqlite/langgraph/store/sqlite/aio.py b/libs/checkpoint-sqlite/langgraph/store/sqlite/aio.py index 6be00813b..8fa86f1fc 100644 --- a/libs/checkpoint-sqlite/langgraph/store/sqlite/aio.py +++ b/libs/checkpoint-sqlite/langgraph/store/sqlite/aio.py @@ -11,7 +11,6 @@ from typing import Any, Callable, cast import aiosqlite import orjson import sqlite_vec # type: ignore[import-untyped] - from langgraph.store.base import ( GetOp, ListNamespacesOp, @@ -22,6 +21,7 @@ from langgraph.store.base import ( TTLConfig, ) from langgraph.store.base.batch import AsyncBatchedBaseStore + from langgraph.store.sqlite.base import ( _PLACEHOLDER, BaseSqliteStore, diff --git a/libs/checkpoint-sqlite/langgraph/store/sqlite/base.py b/libs/checkpoint-sqlite/langgraph/store/sqlite/base.py index 36e18d334..947ceccdc 100644 --- a/libs/checkpoint-sqlite/langgraph/store/sqlite/base.py +++ b/libs/checkpoint-sqlite/langgraph/store/sqlite/base.py @@ -13,7 +13,6 @@ from typing import Any, Callable, Literal, NamedTuple, cast import orjson import sqlite_vec # type: ignore[import-untyped] - from langgraph.store.base import ( BaseStore, GetOp, diff --git a/libs/checkpoint-sqlite/tests/test_aiosqlite.py b/libs/checkpoint-sqlite/tests/test_aiosqlite.py index 02dedd31a..06d612722 100644 --- a/libs/checkpoint-sqlite/tests/test_aiosqlite.py +++ b/libs/checkpoint-sqlite/tests/test_aiosqlite.py @@ -2,13 +2,13 @@ from typing import Any import pytest from langchain_core.runnables import RunnableConfig - from langgraph.checkpoint.base import ( Checkpoint, CheckpointMetadata, create_checkpoint, empty_checkpoint, ) + from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver diff --git a/libs/checkpoint-sqlite/tests/test_async_store.py b/libs/checkpoint-sqlite/tests/test_async_store.py index ee83d5c81..9a06feceb 100644 --- a/libs/checkpoint-sqlite/tests/test_async_store.py +++ b/libs/checkpoint-sqlite/tests/test_async_store.py @@ -8,7 +8,6 @@ from contextlib import asynccontextmanager from typing import Optional, Union, cast import pytest - from langgraph.store.base import ( GetOp, Item, @@ -16,6 +15,7 @@ from langgraph.store.base import ( PutOp, SearchOp, ) + from langgraph.store.sqlite import AsyncSqliteStore from langgraph.store.sqlite.base import SqliteIndexConfig from tests.test_store import CharacterEmbeddings diff --git a/libs/checkpoint-sqlite/tests/test_sqlite.py b/libs/checkpoint-sqlite/tests/test_sqlite.py index d2159a5ea..f242f54f5 100644 --- a/libs/checkpoint-sqlite/tests/test_sqlite.py +++ b/libs/checkpoint-sqlite/tests/test_sqlite.py @@ -2,13 +2,13 @@ from typing import Any, cast import pytest from langchain_core.runnables import RunnableConfig - from langgraph.checkpoint.base import ( Checkpoint, CheckpointMetadata, create_checkpoint, empty_checkpoint, ) + from langgraph.checkpoint.sqlite import SqliteSaver from langgraph.checkpoint.sqlite.utils import _metadata_predicate, search_where diff --git a/libs/checkpoint-sqlite/tests/test_store.py b/libs/checkpoint-sqlite/tests/test_store.py index 844493fdc..ce1bb0127 100644 --- a/libs/checkpoint-sqlite/tests/test_store.py +++ b/libs/checkpoint-sqlite/tests/test_store.py @@ -9,7 +9,6 @@ from typing import Any, Literal, Optional, Union, cast import pytest from langchain_core.embeddings import Embeddings - from langgraph.store.base import ( GetOp, Item, @@ -18,6 +17,7 @@ from langgraph.store.base import ( PutOp, SearchOp, ) + from langgraph.store.sqlite import SqliteStore from langgraph.store.sqlite.base import SqliteIndexConfig diff --git a/libs/checkpoint-sqlite/tests/test_ttl.py b/libs/checkpoint-sqlite/tests/test_ttl.py index 972cc252f..e5cfe88ac 100644 --- a/libs/checkpoint-sqlite/tests/test_ttl.py +++ b/libs/checkpoint-sqlite/tests/test_ttl.py @@ -7,6 +7,7 @@ import time from collections.abc import Generator import pytest +from langgraph.store.base import TTLConfig from langgraph.store.sqlite import SqliteStore from langgraph.store.sqlite.aio import AsyncSqliteStore @@ -93,9 +94,13 @@ def test_ttl_sweeper(temp_db_file: str) -> None: ttl_seconds 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a/libs/langgraph/bench/__main__.py +++ b/libs/langgraph/bench/__main__.py @@ -2,6 +2,7 @@ import random from uuid import uuid4 from langchain_core.messages import HumanMessage +from langgraph.checkpoint.memory import InMemorySaver from pyperf._runner import Runner from uvloop import new_event_loop @@ -11,7 +12,6 @@ from bench.react_agent import react_agent from bench.sequential import create_sequential from bench.wide_dict import wide_dict from bench.wide_state import wide_state -from langgraph.checkpoint.memory import InMemorySaver from langgraph.graph import StateGraph from langgraph.pregel import Pregel diff --git a/libs/langgraph/bench/fanout_to_subgraph.py b/libs/langgraph/bench/fanout_to_subgraph.py index 42014c2b8..491d0d301 100644 --- a/libs/langgraph/bench/fanout_to_subgraph.py +++ b/libs/langgraph/bench/fanout_to_subgraph.py @@ -114,7 +114,6 @@ if __name__ == "__main__": import time import uvloop - from langgraph.checkpoint.memory import InMemorySaver graph = fanout_to_subgraph().compile(checkpointer=InMemorySaver()) diff --git a/libs/langgraph/bench/pydantic_state.py b/libs/langgraph/bench/pydantic_state.py index acbc428ea..6c2d3ff6a 100644 --- a/libs/langgraph/bench/pydantic_state.py +++ b/libs/langgraph/bench/pydantic_state.py @@ -303,7 +303,6 @@ if __name__ == "__main__": import asyncio import uvloop - from langgraph.checkpoint.memory import InMemorySaver graph = pydantic_state(1000).compile(checkpointer=InMemorySaver()) diff --git a/libs/langgraph/bench/react_agent.py b/libs/langgraph/bench/react_agent.py index b4a8dcc60..89fa383bb 100644 --- a/libs/langgraph/bench/react_agent.py +++ b/libs/langgraph/bench/react_agent.py @@ -8,9 +8,9 @@ from langchain_core.language_models.fake_chat_models import ( from langchain_core.messages import AIMessage, BaseMessage, HumanMessage from langchain_core.outputs import ChatGeneration, ChatResult from langchain_core.tools import StructuredTool - from langgraph.checkpoint.base import BaseCheckpointSaver from langgraph.prebuilt.chat_agent_executor import create_react_agent + from langgraph.pregel import Pregel @@ -67,7 +67,6 @@ if __name__ == "__main__": import asyncio import uvloop - from langgraph.checkpoint.memory import InMemorySaver graph = react_agent(100, checkpointer=InMemorySaver()) diff --git a/libs/langgraph/bench/wide_dict.py b/libs/langgraph/bench/wide_dict.py index 7ff22e519..2d7d00ac8 100644 --- a/libs/langgraph/bench/wide_dict.py +++ b/libs/langgraph/bench/wide_dict.py @@ -129,7 +129,6 @@ if __name__ == "__main__": import asyncio import uvloop - from langgraph.checkpoint.memory import InMemorySaver graph = wide_dict(1000).compile(checkpointer=InMemorySaver()) diff --git a/libs/langgraph/bench/wide_state.py b/libs/langgraph/bench/wide_state.py index eb2b036ff..0267db9d0 100644 --- a/libs/langgraph/bench/wide_state.py +++ b/libs/langgraph/bench/wide_state.py @@ -139,7 +139,6 @@ if __name__ == "__main__": import asyncio import uvloop - from langgraph.checkpoint.memory import InMemorySaver graph = wide_state(1000).compile(checkpointer=InMemorySaver()) diff --git a/libs/langgraph/langgraph/_internal/_config.py b/libs/langgraph/langgraph/_internal/_config.py index 703f560d5..5caf4c582 100644 --- a/libs/langgraph/langgraph/_internal/_config.py +++ b/libs/langgraph/langgraph/_internal/_config.py @@ -17,6 +17,7 @@ from langchain_core.runnables.config import ( COPIABLE_KEYS, var_child_runnable_config, ) +from langgraph.checkpoint.base import CheckpointMetadata from langgraph._internal._constants import ( CONF, @@ -26,7 +27,6 @@ from langgraph._internal._constants import ( NS_END, NS_SEP, ) -from langgraph.checkpoint.base import CheckpointMetadata DEFAULT_RECURSION_LIMIT = int(getenv("LANGGRAPH_DEFAULT_RECURSION_LIMIT", "25")) diff --git a/libs/langgraph/langgraph/_internal/_runnable.py b/libs/langgraph/langgraph/_internal/_runnable.py index f4bce0b2a..087fe4e53 100644 --- a/libs/langgraph/langgraph/_internal/_runnable.py +++ b/libs/langgraph/langgraph/_internal/_runnable.py @@ -41,6 +41,7 @@ from langchain_core.runnables.config import ( ) from langchain_core.runnables.utils import Input, Output from langchain_core.tracers.langchain import LangChainTracer +from langgraph.store.base import BaseStore from typing_extensions import TypeGuard from langgraph._internal._config import ( @@ -54,7 +55,6 @@ from langgraph._internal._constants import ( CONFIG_KEY_RUNTIME, ) from langgraph._internal._typing import MISSING -from langgraph.store.base import BaseStore from langgraph.types import StreamWriter try: diff --git a/libs/langgraph/langgraph/config.py b/libs/langgraph/langgraph/config.py index 660924e46..86e50b393 100644 --- a/libs/langgraph/langgraph/config.py +++ b/libs/langgraph/langgraph/config.py @@ -4,9 +4,9 @@ from typing import Any from langchain_core.runnables import RunnableConfig from langchain_core.runnables.config import var_child_runnable_config +from langgraph.store.base import BaseStore from langgraph._internal._constants import CONF, CONFIG_KEY_RUNTIME -from langgraph.store.base import BaseStore from langgraph.types import StreamWriter diff --git a/libs/langgraph/langgraph/errors.py b/libs/langgraph/langgraph/errors.py index 6e717d284..9ca94cc43 100644 --- a/libs/langgraph/langgraph/errors.py +++ b/libs/langgraph/langgraph/errors.py @@ -5,10 +5,10 @@ from enum import Enum from typing import Any from warnings import warn -from typing_extensions import deprecated - # EmptyChannelError is re-exported from langgraph.channels.base from langgraph.checkpoint.base import EmptyChannelError # noqa: F401 +from typing_extensions import deprecated + from langgraph.types import Command, Interrupt from langgraph.warnings import LangGraphDeprecatedSinceV10 diff --git a/libs/langgraph/langgraph/func/__init__.py b/libs/langgraph/langgraph/func/__init__.py index 5505c1a05..d94922b40 100644 --- a/libs/langgraph/langgraph/func/__init__.py +++ b/libs/langgraph/langgraph/func/__init__.py @@ -16,14 +16,15 @@ from typing import ( overload, ) +from langgraph.cache.base import BaseCache +from langgraph.checkpoint.base import BaseCheckpointSaver +from langgraph.store.base import BaseStore from typing_extensions import Unpack from langgraph._internal._constants import CACHE_NS_WRITES, PREVIOUS from langgraph._internal._typing import MISSING, DeprecatedKwargs -from langgraph.cache.base import BaseCache from langgraph.channels.ephemeral_value import EphemeralValue from langgraph.channels.last_value import LastValue -from langgraph.checkpoint.base import BaseCheckpointSaver from langgraph.constants import END, START from langgraph.pregel import Pregel from langgraph.pregel._call import ( @@ -36,7 +37,6 @@ from langgraph.pregel._call import ( ) from langgraph.pregel._read import PregelNode from langgraph.pregel._write import ChannelWrite, ChannelWriteEntry -from langgraph.store.base import BaseStore from langgraph.types import _DC_KWARGS, CachePolicy, RetryPolicy, StreamMode from langgraph.typing import ContextT from langgraph.warnings import LangGraphDeprecatedSinceV05, LangGraphDeprecatedSinceV10 diff --git a/libs/langgraph/langgraph/graph/_node.py b/libs/langgraph/langgraph/graph/_node.py index a21f14de5..37329c75c 100644 --- a/libs/langgraph/langgraph/graph/_node.py +++ b/libs/langgraph/langgraph/graph/_node.py @@ -6,11 +6,11 @@ from dataclasses import dataclass from typing import Any, Generic, Protocol, Union from langchain_core.runnables import Runnable, RunnableConfig +from langgraph.store.base import BaseStore from typing_extensions import TypeAlias from langgraph._internal._typing import EMPTY_SEQ from langgraph.runtime import Runtime -from langgraph.store.base import BaseStore from langgraph.types import CachePolicy, RetryPolicy, StreamWriter from langgraph.typing import ContextT, NodeInputT, NodeInputT_contra diff --git a/libs/langgraph/langgraph/graph/state.py b/libs/langgraph/langgraph/graph/state.py index 2f7d3f75b..c6be1109c 100644 --- a/libs/langgraph/langgraph/graph/state.py +++ b/libs/langgraph/langgraph/graph/state.py @@ -24,6 +24,9 @@ from typing import ( ) from langchain_core.runnables import Runnable, RunnableConfig +from langgraph.cache.base import BaseCache +from langgraph.checkpoint.base import Checkpoint +from langgraph.store.base import BaseStore from pydantic import BaseModel, TypeAdapter from typing_extensions import NotRequired, Required, Self, Unpack, is_typeddict @@ -41,7 +44,6 @@ from langgraph._internal._fields import ( from langgraph._internal._pydantic import create_model from langgraph._internal._runnable import coerce_to_runnable from langgraph._internal._typing import EMPTY_SEQ, MISSING, DeprecatedKwargs -from langgraph.cache.base import BaseCache from langgraph.channels.base import BaseChannel from langgraph.channels.binop import BinaryOperatorAggregate from langgraph.channels.ephemeral_value import EphemeralValue @@ -50,7 +52,6 @@ from langgraph.channels.named_barrier_value import ( NamedBarrierValue, NamedBarrierValueAfterFinish, ) -from langgraph.checkpoint.base import Checkpoint from langgraph.constants import END, START, TAG_HIDDEN from langgraph.errors import ( ErrorCode, @@ -71,7 +72,6 @@ from langgraph.pregel._write import ( ChannelWriteEntry, ChannelWriteTupleEntry, ) -from langgraph.store.base import BaseStore from langgraph.types import ( All, CachePolicy, diff --git a/libs/langgraph/langgraph/pregel/_algo.py b/libs/langgraph/langgraph/pregel/_algo.py index 9c29288bc..e3e2c573e 100644 --- a/libs/langgraph/langgraph/pregel/_algo.py +++ b/libs/langgraph/langgraph/pregel/_algo.py @@ -23,6 +23,14 @@ from typing import ( from langchain_core.callbacks import Callbacks from langchain_core.callbacks.manager import AsyncParentRunManager, ParentRunManager from langchain_core.runnables.config import RunnableConfig +from langgraph.checkpoint.base import ( + BaseCheckpointSaver, + ChannelVersions, + Checkpoint, + PendingWrite, + V, +) +from langgraph.store.base import BaseStore from xxhash import xxh3_128_hexdigest from langgraph._internal._config import merge_configs, patch_config @@ -57,13 +65,6 @@ from langgraph._internal._scratchpad import PregelScratchpad from langgraph._internal._typing import EMPTY_SEQ, MISSING from langgraph.channels.base import BaseChannel from langgraph.channels.topic import Topic -from langgraph.checkpoint.base import ( - BaseCheckpointSaver, - ChannelVersions, - Checkpoint, - PendingWrite, - V, -) from langgraph.constants import TAG_HIDDEN from langgraph.managed.base import ManagedValueMapping from langgraph.pregel._call import get_runnable_for_task, identifier @@ -71,7 +72,6 @@ from langgraph.pregel._io import read_channels from langgraph.pregel._log import logger from langgraph.pregel._read import INPUT_CACHE_KEY_TYPE, PregelNode from langgraph.runtime import DEFAULT_RUNTIME, Runtime -from langgraph.store.base import BaseStore from langgraph.types import ( All, CacheKey, @@ -715,13 +715,17 @@ def prepare_single_task( runtime = runtime.override( store=store, previous=checkpoint["channel_values"].get(PREVIOUS, None) ) + additional_config: RunnableConfig = { + "metadata": metadata, + "tags": proc.tags, + } return PregelExecutableTask( packet.node, packet.arg, proc_node, writes, patch_config( - merge_configs(config, {"metadata": metadata, "tags": proc.tags}), + merge_configs(config, additional_config), run_name=packet.node, callbacks=( manager.get_child(f"graph:step:{step}") if manager else None @@ -856,15 +860,17 @@ def prepare_single_task( previous=checkpoint["channel_values"].get(PREVIOUS, None), store=store, ) + additional_config = { + "metadata": metadata, + "tags": proc.tags, + } return PregelExecutableTask( name, val, node, writes, patch_config( - merge_configs( - config, {"metadata": metadata, "tags": proc.tags} - ), + merge_configs(config, additional_config), run_name=name, callbacks=( manager.get_child(f"graph:step:{step}") diff --git a/libs/langgraph/langgraph/pregel/_checkpoint.py b/libs/langgraph/langgraph/pregel/_checkpoint.py index 9afd67af9..3d510ac7d 100644 --- a/libs/langgraph/langgraph/pregel/_checkpoint.py +++ b/libs/langgraph/langgraph/pregel/_checkpoint.py @@ -3,10 +3,11 @@ from __future__ import annotations from collections.abc import Mapping from datetime import datetime, timezone -from langgraph._internal._typing import MISSING -from langgraph.channels.base import BaseChannel from langgraph.checkpoint.base import Checkpoint from langgraph.checkpoint.base.id import uuid6 + +from langgraph._internal._typing import MISSING +from langgraph.channels.base import BaseChannel from langgraph.managed.base import ManagedValueMapping, ManagedValueSpec LATEST_VERSION = 4 diff --git a/libs/langgraph/langgraph/pregel/_draw.py b/libs/langgraph/langgraph/pregel/_draw.py index af6d03427..a6d33d4a9 100644 --- a/libs/langgraph/langgraph/pregel/_draw.py +++ b/libs/langgraph/langgraph/pregel/_draw.py @@ -6,10 +6,10 @@ from typing import Any, cast from langchain_core.runnables.config import RunnableConfig from langchain_core.runnables.graph import Graph, Node +from langgraph.checkpoint.base import BaseCheckpointSaver from langgraph._internal._constants import CONF, CONFIG_KEY_SEND, INPUT from langgraph.channels.base import BaseChannel -from langgraph.checkpoint.base import BaseCheckpointSaver from langgraph.constants import END, START from langgraph.managed.base import ManagedValueSpec from langgraph.pregel._algo import ( diff --git a/libs/langgraph/langgraph/pregel/_loop.py b/libs/langgraph/langgraph/pregel/_loop.py index b0c98a5e3..9c6c44d20 100644 --- a/libs/langgraph/langgraph/pregel/_loop.py +++ b/libs/langgraph/langgraph/pregel/_loop.py @@ -25,6 +25,17 @@ from typing import ( from langchain_core.callbacks import AsyncParentRunManager, ParentRunManager from langchain_core.runnables import RunnableConfig +from langgraph.cache.base import BaseCache +from langgraph.checkpoint.base import ( + WRITES_IDX_MAP, + BaseCheckpointSaver, + ChannelVersions, + Checkpoint, + CheckpointMetadata, + CheckpointTuple, + PendingWrite, +) +from langgraph.store.base import BaseStore from typing_extensions import ParamSpec, Self from langgraph._internal._config import patch_configurable @@ -50,17 +61,7 @@ from langgraph._internal._constants import ( ) from langgraph._internal._scratchpad import PregelScratchpad from langgraph._internal._typing import EMPTY_SEQ, MISSING -from langgraph.cache.base import BaseCache from langgraph.channels.base import BaseChannel -from langgraph.checkpoint.base import ( - WRITES_IDX_MAP, - BaseCheckpointSaver, - ChannelVersions, - Checkpoint, - CheckpointMetadata, - CheckpointTuple, - PendingWrite, -) from langgraph.constants import TAG_HIDDEN from langgraph.errors import ( EmptyInputError, @@ -108,7 +109,6 @@ from langgraph.pregel.debug import ( map_debug_tasks, ) from langgraph.pregel.protocol import StreamChunk, StreamProtocol -from langgraph.store.base import BaseStore from langgraph.types import ( All, CachePolicy, diff --git a/libs/langgraph/langgraph/pregel/_read.py b/libs/langgraph/langgraph/pregel/_read.py index bb3a6bf12..12bb6593c 100644 --- a/libs/langgraph/langgraph/pregel/_read.py +++ b/libs/langgraph/langgraph/pregel/_read.py @@ -231,9 +231,10 @@ class PregelNode: config: RunnableConfig | None = None, **kwargs: Any | None, ) -> Any: + self_config: RunnableConfig = {"metadata": self.metadata, "tags": self.tags} return self.bound.invoke( input, - merge_configs({"metadata": self.metadata, "tags": self.tags}, config), + merge_configs(self_config, config), **kwargs, ) @@ -243,9 +244,10 @@ class PregelNode: config: RunnableConfig | None = None, **kwargs: Any | None, ) -> Any: + self_config: RunnableConfig = {"metadata": self.metadata, "tags": self.tags} return await self.bound.ainvoke( input, - merge_configs({"metadata": self.metadata, "tags": self.tags}, config), + merge_configs(self_config, config), **kwargs, ) @@ -255,9 +257,10 @@ class PregelNode: config: RunnableConfig | None = None, **kwargs: Any | None, ) -> Iterator[Any]: + self_config: RunnableConfig = {"metadata": self.metadata, "tags": self.tags} yield from self.bound.stream( input, - merge_configs({"metadata": self.metadata, "tags": self.tags}, config), + merge_configs(self_config, config), **kwargs, ) @@ -267,9 +270,10 @@ class PregelNode: config: RunnableConfig | None = None, **kwargs: Any | None, ) -> AsyncIterator[Any]: + self_config: RunnableConfig = {"metadata": self.metadata, "tags": self.tags} async for item in self.bound.astream( input, - merge_configs({"metadata": self.metadata, "tags": self.tags}, config), + merge_configs(self_config, config), **kwargs, ): yield item diff --git a/libs/langgraph/langgraph/pregel/_utils.py b/libs/langgraph/langgraph/pregel/_utils.py index 87c026ae4..6256b96b8 100644 --- a/libs/langgraph/langgraph/pregel/_utils.py +++ b/libs/langgraph/langgraph/pregel/_utils.py @@ -7,10 +7,10 @@ import textwrap from typing import Any, Callable from langchain_core.runnables import Runnable, RunnableLambda, RunnableSequence +from langgraph.checkpoint.base import ChannelVersions from typing_extensions import override from langgraph._internal._runnable import RunnableCallable, RunnableSeq -from langgraph.checkpoint.base import ChannelVersions from langgraph.pregel.protocol import PregelProtocol diff --git a/libs/langgraph/langgraph/pregel/debug.py b/libs/langgraph/langgraph/pregel/debug.py index d6fb1d630..1591431d7 100644 --- a/libs/langgraph/langgraph/pregel/debug.py +++ b/libs/langgraph/langgraph/pregel/debug.py @@ -6,6 +6,7 @@ from typing import Any from uuid import UUID from langchain_core.runnables import RunnableConfig +from langgraph.checkpoint.base import CheckpointMetadata, PendingWrite from typing_extensions import TypedDict from langgraph._internal._config import patch_checkpoint_map @@ -20,7 +21,6 @@ from langgraph._internal._constants import ( ) from langgraph._internal._typing import MISSING from langgraph.channels.base import BaseChannel -from langgraph.checkpoint.base import CheckpointMetadata, PendingWrite from langgraph.constants import TAG_HIDDEN from langgraph.pregel._io import read_channels from langgraph.types import PregelExecutableTask, PregelTask, StateSnapshot diff --git a/libs/langgraph/langgraph/pregel/main.py b/libs/langgraph/langgraph/pregel/main.py index e8205aee6..a47ff3f4b 100644 --- a/libs/langgraph/langgraph/pregel/main.py +++ b/libs/langgraph/langgraph/pregel/main.py @@ -25,6 +25,13 @@ from langchain_core.runnables.config import ( get_callback_manager_for_config, ) from langchain_core.runnables.graph import Graph +from langgraph.cache.base import BaseCache +from langgraph.checkpoint.base import ( + BaseCheckpointSaver, + Checkpoint, + CheckpointTuple, +) +from langgraph.store.base import BaseStore from pydantic import BaseModel, TypeAdapter from typing_extensions import Self, Unpack, deprecated, is_typeddict @@ -73,14 +80,8 @@ from langgraph._internal._runnable import ( coerce_to_runnable, ) from langgraph._internal._typing import MISSING, DeprecatedKwargs -from langgraph.cache.base import BaseCache from langgraph.channels.base import BaseChannel from langgraph.channels.topic import Topic -from langgraph.checkpoint.base import ( - BaseCheckpointSaver, - Checkpoint, - CheckpointTuple, -) from langgraph.config import get_config from langgraph.constants import END from langgraph.errors import ( @@ -117,7 +118,6 @@ from langgraph.pregel._write import ChannelWrite, ChannelWriteEntry from langgraph.pregel.debug import get_bolded_text, get_colored_text, tasks_w_writes from langgraph.pregel.protocol import PregelProtocol, StreamChunk, StreamProtocol from langgraph.runtime import DEFAULT_RUNTIME, Runtime -from langgraph.store.base import BaseStore from langgraph.types import ( All, CachePolicy, diff --git a/libs/langgraph/langgraph/pregel/remote.py b/libs/langgraph/langgraph/pregel/remote.py index 65ef470ae..60529b305 100644 --- a/libs/langgraph/langgraph/pregel/remote.py +++ b/libs/langgraph/langgraph/pregel/remote.py @@ -20,6 +20,7 @@ from langchain_core.runnables.graph import ( from langchain_core.runnables.graph import ( Node as DrawableNode, ) +from langgraph.checkpoint.base import CheckpointMetadata from langgraph_sdk.client import ( LangGraphClient, SyncLangGraphClient, @@ -50,7 +51,6 @@ from langgraph._internal._constants import ( INTERRUPT, NS_SEP, ) -from langgraph.checkpoint.base import CheckpointMetadata from langgraph.errors import GraphInterrupt, ParentCommand from langgraph.pregel.protocol import PregelProtocol, StreamProtocol from langgraph.types import ( diff --git a/libs/langgraph/langgraph/runtime.py b/libs/langgraph/langgraph/runtime.py index 5c1053a78..fe6fc027e 100644 --- a/libs/langgraph/langgraph/runtime.py +++ b/libs/langgraph/langgraph/runtime.py @@ -3,11 +3,11 @@ from __future__ import annotations from dataclasses import dataclass, field, replace from typing import Any, Generic, cast +from langgraph.store.base import BaseStore from typing_extensions import TypedDict, Unpack from langgraph._internal._constants import CONF, CONFIG_KEY_RUNTIME from langgraph.config import get_config -from langgraph.store.base import BaseStore from langgraph.types import _DC_KWARGS, StreamWriter from langgraph.typing import ContextT diff --git a/libs/langgraph/langgraph/types.py b/libs/langgraph/langgraph/types.py index a400e4de9..76e81860b 100644 --- a/libs/langgraph/langgraph/types.py +++ b/libs/langgraph/langgraph/types.py @@ -19,6 +19,7 @@ from typing import ( from warnings import warn from langchain_core.runnables import Runnable, RunnableConfig +from langgraph.checkpoint.base import BaseCheckpointSaver, CheckpointMetadata from typing_extensions import Unpack, deprecated from xxhash import xxh3_128_hexdigest @@ -26,7 +27,6 @@ from langgraph._internal._cache import default_cache_key from langgraph._internal._fields import get_cached_annotated_keys, get_update_as_tuples from langgraph._internal._retry import default_retry_on from langgraph._internal._typing import MISSING, DeprecatedKwargs -from langgraph.checkpoint.base import BaseCheckpointSaver, CheckpointMetadata from langgraph.warnings import LangGraphDeprecatedSinceV10 if TYPE_CHECKING: diff --git a/libs/langgraph/tests/__snapshots__/test_large_cases.ambr b/libs/langgraph/tests/__snapshots__/test_large_cases.ambr index 34e4ed64c..3808ae32e 100644 --- a/libs/langgraph/tests/__snapshots__/test_large_cases.ambr +++ b/libs/langgraph/tests/__snapshots__/test_large_cases.ambr @@ -88,10 +88,10 @@ ''' # --- # name: test_message_graph[memory] - '{"$defs": {"AIMessage": {"additionalProperties": true, "description": "Message from an AI.\\n\\nAIMessage is returned from a chat model as a response to a prompt.\\n\\nThis message represents the output of the model and consists of both\\nthe raw output as returned by the model together standardized fields\\n(e.g., tool calls, usage metadata) added by the LangChain framework.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ai", "default": "ai", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}}, "required": ["content"], "title": "AIMessage", "type": "object"}, "AIMessageChunk": {"additionalProperties": true, "description": "Message chunk from an AI.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "AIMessageChunk", "default": "AIMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}, "tool_call_chunks": {"default": [], "items": {"$ref": "#/$defs/ToolCallChunk"}, "title": "Tool Call Chunks", "type": "array"}}, "required": ["content"], "title": "AIMessageChunk", "type": "object"}, "ChatMessage": {"additionalProperties": true, "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "chat", "default": "chat", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessage", "type": "object"}, "ChatMessageChunk": {"additionalProperties": true, "description": "Chat Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ChatMessageChunk", "default": "ChatMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessageChunk", "type": "object"}, "FunctionMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nFunctionMessage are an older version of the ToolMessage schema, and\\ndo not contain the tool_call_id field.\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "function", "default": "function", "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessage", "type": "object"}, "FunctionMessageChunk": {"additionalProperties": true, "description": "Function Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "FunctionMessageChunk", "default": "FunctionMessageChunk", "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessageChunk", "type": "object"}, "HumanMessage": {"additionalProperties": true, "description": "Message from a human.\\n\\nHumanMessages are messages that are passed in from a human to the model.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(\\n content=\\"You are a helpful assistant! Your name is Bob.\\"\\n ),\\n HumanMessage(\\n content=\\"What is your name?\\"\\n )\\n ]\\n\\n # Instantiate a chat model and invoke it with the messages\\n model = ...\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "human", "default": "human", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessage", "type": "object"}, "HumanMessageChunk": {"additionalProperties": true, "description": "Human Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "HumanMessageChunk", "default": "HumanMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessageChunk", "type": "object"}, "InputTokenDetails": {"description": "Breakdown of input token counts.\\n\\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n }\\n\\n.. versionadded:: 0.3.9\\n\\nMay also hold extra provider-specific keys.", "properties": {"audio": {"title": "Audio", "type": "integer"}, "cache_creation": {"title": "Cache Creation", "type": "integer"}, "cache_read": {"title": "Cache Read", "type": "integer"}}, "title": "InputTokenDetails", "type": "object"}, "InvalidToolCall": {"description": "Allowance for errors made by LLM.\\n\\nHere we add an `error` key to surface errors made during generation\\n(e.g., invalid JSON arguments.)", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "error": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Error"}, "type": {"const": "invalid_tool_call", "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "error"], "title": "InvalidToolCall", "type": "object"}, "OutputTokenDetails": {"description": "Breakdown of output token counts.\\n\\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "reasoning": {"title": "Reasoning", "type": "integer"}}, "title": "OutputTokenDetails", "type": "object"}, "SystemMessage": {"additionalProperties": true, "description": "Message for priming AI behavior.\\n\\nThe system message is usually passed in as the first of a sequence\\nof input messages.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(\\n content=\\"You are a helpful assistant! Your name is Bob.\\"\\n ),\\n HumanMessage(\\n content=\\"What is your name?\\"\\n )\\n ]\\n\\n # Define a chat model and invoke it with the messages\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "system", "default": "system", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessage", "type": "object"}, "SystemMessageChunk": {"additionalProperties": true, "description": "System Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "SystemMessageChunk", "default": "SystemMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessageChunk", "type": "object"}, "ToolCall": {"description": "Represents a request to call a tool.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"name\\": \\"foo\\",\\n \\"args\\": {\\"a\\": 1},\\n \\"id\\": \\"123\\"\\n }\\n\\n This represents a request to call the tool named \\"foo\\" with arguments {\\"a\\": 1}\\n and an identifier of \\"123\\".", "properties": {"name": {"title": "Name", "type": "string"}, "args": {"additionalProperties": true, "title": "Args", "type": "object"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "type": {"const": "tool_call", "title": "Type", "type": "string"}}, "required": ["name", "args", "id"], "title": "ToolCall", "type": "object"}, "ToolCallChunk": {"description": "A chunk of a tool call (e.g., as part of a stream).\\n\\nWhen merging ToolCallChunks (e.g., via AIMessageChunk.__add__),\\nall string attributes are concatenated. Chunks are only merged if their\\nvalues of `index` are equal and not None.\\n\\nExample:\\n\\n.. code-block:: python\\n\\n left_chunks = [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":\', index=0)]\\n right_chunks = [ToolCallChunk(name=None, args=\'1}\', index=0)]\\n\\n (\\n AIMessageChunk(content=\\"\\", tool_call_chunks=left_chunks)\\n + AIMessageChunk(content=\\"\\", tool_call_chunks=right_chunks)\\n ).tool_call_chunks == [ToolCallChunk(name=\'foo\', args=\'{\\"a\\":1}\', index=0)]", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "index": {"anyOf": [{"type": "integer"}, {"type": "null"}], "title": "Index"}, "type": {"const": "tool_call_chunk", "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "index"], "title": "ToolCallChunk", "type": "object"}, "ToolMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nToolMessages contain the result of a tool invocation. Typically, the result\\nis encoded inside the `content` field.\\n\\nExample: A ToolMessage representing a result of 42 from a tool call with id\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n ToolMessage(content=\'42\', tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\')\\n\\n\\nExample: A ToolMessage where only part of the tool output is sent to the model\\n and the full output is passed in to artifact.\\n\\n .. versionadded:: 0.2.17\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n tool_output = {\\n \\"stdout\\": \\"From the graph we can see that the correlation between x and y is ...\\",\\n \\"stderr\\": None,\\n \\"artifacts\\": {\\"type\\": \\"image\\", \\"base64_data\\": \\"/9j/4gIcSU...\\"},\\n }\\n\\n ToolMessage(\\n content=tool_output[\\"stdout\\"],\\n artifact=tool_output,\\n tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\',\\n )\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "tool", "default": "tool", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessage", "type": "object"}, "ToolMessageChunk": {"additionalProperties": true, "description": "Tool Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ToolMessageChunk", "default": "ToolMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessageChunk", "type": "object"}, "UsageMetadata": {"description": "Usage metadata for a message, such as token counts.\\n\\nThis is a standard representation of token usage that is consistent across models.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"input_tokens\\": 350,\\n \\"output_tokens\\": 240,\\n \\"total_tokens\\": 590,\\n \\"input_token_details\\": {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n },\\n \\"output_token_details\\": {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n }\\n\\n.. versionchanged:: 0.3.9\\n\\n Added ``input_token_details`` and ``output_token_details``.", "properties": {"input_tokens": {"title": "Input Tokens", "type": "integer"}, "output_tokens": {"title": "Output Tokens", "type": "integer"}, "total_tokens": {"title": "Total Tokens", "type": "integer"}, "input_token_details": {"$ref": "#/$defs/InputTokenDetails"}, "output_token_details": {"$ref": "#/$defs/OutputTokenDetails"}}, "required": ["input_tokens", "output_tokens", "total_tokens"], "title": "UsageMetadata", "type": "object"}}, "default": null, "items": {"oneOf": [{"$ref": "#/$defs/AIMessage"}, {"$ref": "#/$defs/HumanMessage"}, {"$ref": "#/$defs/ChatMessage"}, {"$ref": "#/$defs/SystemMessage"}, {"$ref": "#/$defs/FunctionMessage"}, {"$ref": "#/$defs/ToolMessage"}, {"$ref": "#/$defs/AIMessageChunk"}, {"$ref": "#/$defs/HumanMessageChunk"}, {"$ref": "#/$defs/ChatMessageChunk"}, {"$ref": "#/$defs/SystemMessageChunk"}, {"$ref": "#/$defs/FunctionMessageChunk"}, {"$ref": "#/$defs/ToolMessageChunk"}]}, "title": "LangGraphInput", "type": "array"}' + '{"$defs": {"AIMessage": {"additionalProperties": true, "description": "Message from an AI.\\n\\nAIMessage is returned from a chat model as a response to a prompt.\\n\\nThis message represents the output of the model and consists of both\\nthe raw output as returned by the model together standardized fields\\n(e.g., tool calls, usage metadata) added by the LangChain framework.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ai", "default": "ai", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}}, "required": ["content"], "title": "AIMessage", "type": "object"}, "AIMessageChunk": {"additionalProperties": true, "description": "Message chunk from an AI.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "AIMessageChunk", "default": "AIMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}, "tool_call_chunks": {"default": [], "items": {"$ref": "#/$defs/ToolCallChunk"}, "title": "Tool Call Chunks", "type": "array"}}, "required": ["content"], "title": "AIMessageChunk", "type": "object"}, "ChatMessage": {"additionalProperties": true, "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "chat", "default": "chat", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessage", "type": "object"}, "ChatMessageChunk": {"additionalProperties": true, "description": "Chat Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ChatMessageChunk", "default": "ChatMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessageChunk", "type": "object"}, "FunctionMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nFunctionMessage are an older version of the ToolMessage schema, and\\ndo not contain the tool_call_id field.\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "function", "default": "function", "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessage", "type": "object"}, "FunctionMessageChunk": {"additionalProperties": true, "description": "Function Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "FunctionMessageChunk", "default": "FunctionMessageChunk", "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessageChunk", "type": "object"}, "HumanMessage": {"additionalProperties": true, "description": "Message from a human.\\n\\nHumanMessages are messages that are passed in from a human to the model.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(content=\\"You are a helpful assistant! Your name is Bob.\\"),\\n HumanMessage(content=\\"What is your name?\\"),\\n ]\\n\\n # Instantiate a chat model and invoke it with the messages\\n model = ...\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "human", "default": "human", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessage", "type": "object"}, "HumanMessageChunk": {"additionalProperties": true, "description": "Human Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "HumanMessageChunk", "default": "HumanMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessageChunk", "type": "object"}, "InputTokenDetails": {"description": "Breakdown of input token counts.\\n\\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n }\\n\\n.. versionadded:: 0.3.9\\n\\nMay also hold extra provider-specific keys.", "properties": {"audio": {"title": "Audio", "type": "integer"}, "cache_creation": {"title": "Cache Creation", "type": "integer"}, "cache_read": {"title": "Cache Read", "type": "integer"}}, "title": "InputTokenDetails", "type": "object"}, "InvalidToolCall": {"description": "Allowance for errors made by LLM.\\n\\nHere we add an `error` key to surface errors made during generation\\n(e.g., invalid JSON arguments.)", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "error": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Error"}, "type": {"const": "invalid_tool_call", "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "error"], "title": "InvalidToolCall", "type": "object"}, "OutputTokenDetails": {"description": "Breakdown of output token counts.\\n\\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "reasoning": {"title": "Reasoning", "type": "integer"}}, "title": "OutputTokenDetails", "type": "object"}, "SystemMessage": {"additionalProperties": true, "description": "Message for priming AI behavior.\\n\\nThe system message is usually passed in as the first of a sequence\\nof input messages.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(content=\\"You are a helpful assistant! Your name is Bob.\\"),\\n HumanMessage(content=\\"What is your name?\\"),\\n ]\\n\\n # Define a chat model and invoke it with the messages\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "system", "default": "system", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessage", "type": "object"}, "SystemMessageChunk": {"additionalProperties": true, "description": "System Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "SystemMessageChunk", "default": "SystemMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessageChunk", "type": "object"}, "ToolCall": {"description": "Represents a request to call a tool.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\"name\\": \\"foo\\", \\"args\\": {\\"a\\": 1}, \\"id\\": \\"123\\"}\\n\\n This represents a request to call the tool named \\"foo\\" with arguments {\\"a\\": 1}\\n and an identifier of \\"123\\".", "properties": {"name": {"title": "Name", "type": "string"}, "args": {"additionalProperties": true, "title": "Args", "type": "object"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "type": {"const": "tool_call", "title": "Type", "type": "string"}}, "required": ["name", "args", "id"], "title": "ToolCall", "type": "object"}, "ToolCallChunk": {"description": "A chunk of a tool call (e.g., as part of a stream).\\n\\nWhen merging ToolCallChunks (e.g., via AIMessageChunk.__add__),\\nall string attributes are concatenated. Chunks are only merged if their\\nvalues of `index` are equal and not None.\\n\\nExample:\\n\\n.. code-block:: python\\n\\n left_chunks = [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":\', index=0)]\\n right_chunks = [ToolCallChunk(name=None, args=\\"1}\\", index=0)]\\n\\n (\\n AIMessageChunk(content=\\"\\", tool_call_chunks=left_chunks)\\n + AIMessageChunk(content=\\"\\", tool_call_chunks=right_chunks)\\n ).tool_call_chunks == [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":1}\', index=0)]", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "index": {"anyOf": [{"type": "integer"}, {"type": "null"}], "title": "Index"}, "type": {"const": "tool_call_chunk", "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "index"], "title": "ToolCallChunk", "type": "object"}, "ToolMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nToolMessages contain the result of a tool invocation. Typically, the result\\nis encoded inside the `content` field.\\n\\nExample: A ToolMessage representing a result of 42 from a tool call with id\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n ToolMessage(content=\\"42\\", tool_call_id=\\"call_Jja7J89XsjrOLA5r!MEOW!SL\\")\\n\\n\\nExample: A ToolMessage where only part of the tool output is sent to the model\\n and the full output is passed in to artifact.\\n\\n .. versionadded:: 0.2.17\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n tool_output = {\\n \\"stdout\\": \\"From the graph we can see that the correlation between \\"\\n \\"x and y is ...\\",\\n \\"stderr\\": None,\\n \\"artifacts\\": {\\"type\\": \\"image\\", \\"base64_data\\": \\"/9j/4gIcSU...\\"},\\n }\\n\\n ToolMessage(\\n content=tool_output[\\"stdout\\"],\\n artifact=tool_output,\\n tool_call_id=\\"call_Jja7J89XsjrOLA5r!MEOW!SL\\",\\n )\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "tool", "default": "tool", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessage", "type": "object"}, "ToolMessageChunk": {"additionalProperties": true, "description": "Tool Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ToolMessageChunk", "default": "ToolMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessageChunk", "type": "object"}, "UsageMetadata": {"description": "Usage metadata for a message, such as token counts.\\n\\nThis is a standard representation of token usage that is consistent across models.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"input_tokens\\": 350,\\n \\"output_tokens\\": 240,\\n \\"total_tokens\\": 590,\\n \\"input_token_details\\": {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n },\\n \\"output_token_details\\": {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n },\\n }\\n\\n.. versionchanged:: 0.3.9\\n\\n Added ``input_token_details`` and ``output_token_details``.", "properties": {"input_tokens": {"title": "Input Tokens", "type": "integer"}, "output_tokens": {"title": "Output Tokens", "type": "integer"}, "total_tokens": {"title": "Total Tokens", "type": "integer"}, "input_token_details": {"$ref": "#/$defs/InputTokenDetails"}, "output_token_details": {"$ref": "#/$defs/OutputTokenDetails"}}, "required": ["input_tokens", "output_tokens", "total_tokens"], "title": "UsageMetadata", "type": "object"}}, "default": null, "items": {"oneOf": [{"$ref": "#/$defs/AIMessage"}, {"$ref": "#/$defs/HumanMessage"}, {"$ref": "#/$defs/ChatMessage"}, {"$ref": "#/$defs/SystemMessage"}, {"$ref": "#/$defs/FunctionMessage"}, {"$ref": "#/$defs/ToolMessage"}, {"$ref": "#/$defs/AIMessageChunk"}, {"$ref": "#/$defs/HumanMessageChunk"}, {"$ref": "#/$defs/ChatMessageChunk"}, {"$ref": "#/$defs/SystemMessageChunk"}, {"$ref": "#/$defs/FunctionMessageChunk"}, {"$ref": "#/$defs/ToolMessageChunk"}]}, "title": "LangGraphInput", "type": "array"}' # --- # name: test_message_graph[memory].1 - '{"$defs": {"AIMessage": {"additionalProperties": true, "description": "Message from an AI.\\n\\nAIMessage is returned from a chat model as a response to a prompt.\\n\\nThis message represents the output of the model and consists of both\\nthe raw output as returned by the model together standardized fields\\n(e.g., tool calls, usage metadata) added by the LangChain framework.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ai", "default": "ai", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}}, "required": ["content"], "title": "AIMessage", "type": "object"}, "AIMessageChunk": {"additionalProperties": true, "description": "Message chunk from an AI.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "AIMessageChunk", "default": "AIMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}, "tool_call_chunks": {"default": [], "items": {"$ref": "#/$defs/ToolCallChunk"}, "title": "Tool Call Chunks", "type": "array"}}, "required": ["content"], "title": "AIMessageChunk", "type": "object"}, "ChatMessage": {"additionalProperties": true, "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "chat", "default": "chat", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessage", "type": "object"}, "ChatMessageChunk": {"additionalProperties": true, "description": "Chat Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ChatMessageChunk", "default": "ChatMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessageChunk", "type": "object"}, "FunctionMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nFunctionMessage are an older version of the ToolMessage schema, and\\ndo not contain the tool_call_id field.\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "function", "default": "function", "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessage", "type": "object"}, "FunctionMessageChunk": {"additionalProperties": true, "description": "Function Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "FunctionMessageChunk", "default": "FunctionMessageChunk", "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessageChunk", "type": "object"}, "HumanMessage": {"additionalProperties": true, "description": "Message from a human.\\n\\nHumanMessages are messages that are passed in from a human to the model.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(\\n content=\\"You are a helpful assistant! Your name is Bob.\\"\\n ),\\n HumanMessage(\\n content=\\"What is your name?\\"\\n )\\n ]\\n\\n # Instantiate a chat model and invoke it with the messages\\n model = ...\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "human", "default": "human", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessage", "type": "object"}, "HumanMessageChunk": {"additionalProperties": true, "description": "Human Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "HumanMessageChunk", "default": "HumanMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessageChunk", "type": "object"}, "InputTokenDetails": {"description": "Breakdown of input token counts.\\n\\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n }\\n\\n.. versionadded:: 0.3.9\\n\\nMay also hold extra provider-specific keys.", "properties": {"audio": {"title": "Audio", "type": "integer"}, "cache_creation": {"title": "Cache Creation", "type": "integer"}, "cache_read": {"title": "Cache Read", "type": "integer"}}, "title": "InputTokenDetails", "type": "object"}, "InvalidToolCall": {"description": "Allowance for errors made by LLM.\\n\\nHere we add an `error` key to surface errors made during generation\\n(e.g., invalid JSON arguments.)", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "error": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Error"}, "type": {"const": "invalid_tool_call", "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "error"], "title": "InvalidToolCall", "type": "object"}, "OutputTokenDetails": {"description": "Breakdown of output token counts.\\n\\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "reasoning": {"title": "Reasoning", "type": "integer"}}, "title": "OutputTokenDetails", "type": "object"}, "SystemMessage": {"additionalProperties": true, "description": "Message for priming AI behavior.\\n\\nThe system message is usually passed in as the first of a sequence\\nof input messages.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(\\n content=\\"You are a helpful assistant! Your name is Bob.\\"\\n ),\\n HumanMessage(\\n content=\\"What is your name?\\"\\n )\\n ]\\n\\n # Define a chat model and invoke it with the messages\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "system", "default": "system", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessage", "type": "object"}, "SystemMessageChunk": {"additionalProperties": true, "description": "System Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "SystemMessageChunk", "default": "SystemMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessageChunk", "type": "object"}, "ToolCall": {"description": "Represents a request to call a tool.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"name\\": \\"foo\\",\\n \\"args\\": {\\"a\\": 1},\\n \\"id\\": \\"123\\"\\n }\\n\\n This represents a request to call the tool named \\"foo\\" with arguments {\\"a\\": 1}\\n and an identifier of \\"123\\".", "properties": {"name": {"title": "Name", "type": "string"}, "args": {"additionalProperties": true, "title": "Args", "type": "object"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "type": {"const": "tool_call", "title": "Type", "type": "string"}}, "required": ["name", "args", "id"], "title": "ToolCall", "type": "object"}, "ToolCallChunk": {"description": "A chunk of a tool call (e.g., as part of a stream).\\n\\nWhen merging ToolCallChunks (e.g., via AIMessageChunk.__add__),\\nall string attributes are concatenated. Chunks are only merged if their\\nvalues of `index` are equal and not None.\\n\\nExample:\\n\\n.. code-block:: python\\n\\n left_chunks = [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":\', index=0)]\\n right_chunks = [ToolCallChunk(name=None, args=\'1}\', index=0)]\\n\\n (\\n AIMessageChunk(content=\\"\\", tool_call_chunks=left_chunks)\\n + AIMessageChunk(content=\\"\\", tool_call_chunks=right_chunks)\\n ).tool_call_chunks == [ToolCallChunk(name=\'foo\', args=\'{\\"a\\":1}\', index=0)]", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "index": {"anyOf": [{"type": "integer"}, {"type": "null"}], "title": "Index"}, "type": {"const": "tool_call_chunk", "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "index"], "title": "ToolCallChunk", "type": "object"}, "ToolMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nToolMessages contain the result of a tool invocation. Typically, the result\\nis encoded inside the `content` field.\\n\\nExample: A ToolMessage representing a result of 42 from a tool call with id\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n ToolMessage(content=\'42\', tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\')\\n\\n\\nExample: A ToolMessage where only part of the tool output is sent to the model\\n and the full output is passed in to artifact.\\n\\n .. versionadded:: 0.2.17\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n tool_output = {\\n \\"stdout\\": \\"From the graph we can see that the correlation between x and y is ...\\",\\n \\"stderr\\": None,\\n \\"artifacts\\": {\\"type\\": \\"image\\", \\"base64_data\\": \\"/9j/4gIcSU...\\"},\\n }\\n\\n ToolMessage(\\n content=tool_output[\\"stdout\\"],\\n artifact=tool_output,\\n tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\',\\n )\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "tool", "default": "tool", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessage", "type": "object"}, "ToolMessageChunk": {"additionalProperties": true, "description": "Tool Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ToolMessageChunk", "default": "ToolMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessageChunk", "type": "object"}, "UsageMetadata": {"description": "Usage metadata for a message, such as token counts.\\n\\nThis is a standard representation of token usage that is consistent across models.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"input_tokens\\": 350,\\n \\"output_tokens\\": 240,\\n \\"total_tokens\\": 590,\\n \\"input_token_details\\": {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n },\\n \\"output_token_details\\": {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n }\\n\\n.. versionchanged:: 0.3.9\\n\\n Added ``input_token_details`` and ``output_token_details``.", "properties": {"input_tokens": {"title": "Input Tokens", "type": "integer"}, "output_tokens": {"title": "Output Tokens", "type": "integer"}, "total_tokens": {"title": "Total Tokens", "type": "integer"}, "input_token_details": {"$ref": "#/$defs/InputTokenDetails"}, "output_token_details": {"$ref": "#/$defs/OutputTokenDetails"}}, "required": ["input_tokens", "output_tokens", "total_tokens"], "title": "UsageMetadata", "type": "object"}}, "default": null, "items": {"oneOf": [{"$ref": "#/$defs/AIMessage"}, {"$ref": "#/$defs/HumanMessage"}, {"$ref": "#/$defs/ChatMessage"}, {"$ref": "#/$defs/SystemMessage"}, {"$ref": "#/$defs/FunctionMessage"}, {"$ref": "#/$defs/ToolMessage"}, {"$ref": "#/$defs/AIMessageChunk"}, {"$ref": "#/$defs/HumanMessageChunk"}, {"$ref": "#/$defs/ChatMessageChunk"}, {"$ref": "#/$defs/SystemMessageChunk"}, {"$ref": "#/$defs/FunctionMessageChunk"}, {"$ref": "#/$defs/ToolMessageChunk"}]}, "title": "LangGraphOutput", "type": "array"}' + '{"$defs": {"AIMessage": {"additionalProperties": true, "description": "Message from an AI.\\n\\nAIMessage is returned from a chat model as a response to a prompt.\\n\\nThis message represents the output of the model and consists of both\\nthe raw output as returned by the model together standardized fields\\n(e.g., tool calls, usage metadata) added by the LangChain framework.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ai", "default": "ai", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}}, "required": ["content"], "title": "AIMessage", "type": "object"}, "AIMessageChunk": {"additionalProperties": true, "description": "Message chunk from an AI.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "AIMessageChunk", "default": "AIMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}, "tool_call_chunks": {"default": [], "items": {"$ref": "#/$defs/ToolCallChunk"}, "title": "Tool Call Chunks", "type": "array"}}, "required": ["content"], "title": "AIMessageChunk", "type": "object"}, "ChatMessage": {"additionalProperties": true, "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "chat", "default": "chat", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessage", "type": "object"}, "ChatMessageChunk": {"additionalProperties": true, "description": "Chat Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ChatMessageChunk", "default": "ChatMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessageChunk", "type": "object"}, "FunctionMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nFunctionMessage are an older version of the ToolMessage schema, and\\ndo not contain the tool_call_id field.\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "function", "default": "function", "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessage", "type": "object"}, "FunctionMessageChunk": {"additionalProperties": true, "description": "Function Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "FunctionMessageChunk", "default": "FunctionMessageChunk", "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessageChunk", "type": "object"}, "HumanMessage": {"additionalProperties": true, "description": "Message from a human.\\n\\nHumanMessages are messages that are passed in from a human to the model.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(content=\\"You are a helpful assistant! Your name is Bob.\\"),\\n HumanMessage(content=\\"What is your name?\\"),\\n ]\\n\\n # Instantiate a chat model and invoke it with the messages\\n model = ...\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "human", "default": "human", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessage", "type": "object"}, "HumanMessageChunk": {"additionalProperties": true, "description": "Human Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "HumanMessageChunk", "default": "HumanMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessageChunk", "type": "object"}, "InputTokenDetails": {"description": "Breakdown of input token counts.\\n\\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n }\\n\\n.. versionadded:: 0.3.9\\n\\nMay also hold extra provider-specific keys.", "properties": {"audio": {"title": "Audio", "type": "integer"}, "cache_creation": {"title": "Cache Creation", "type": "integer"}, "cache_read": {"title": "Cache Read", "type": "integer"}}, "title": "InputTokenDetails", "type": "object"}, "InvalidToolCall": {"description": "Allowance for errors made by LLM.\\n\\nHere we add an `error` key to surface errors made during generation\\n(e.g., invalid JSON arguments.)", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "error": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Error"}, "type": {"const": "invalid_tool_call", "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "error"], "title": "InvalidToolCall", "type": "object"}, "OutputTokenDetails": {"description": "Breakdown of output token counts.\\n\\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "reasoning": {"title": "Reasoning", "type": "integer"}}, "title": "OutputTokenDetails", "type": "object"}, "SystemMessage": {"additionalProperties": true, "description": "Message for priming AI behavior.\\n\\nThe system message is usually passed in as the first of a sequence\\nof input messages.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(content=\\"You are a helpful assistant! Your name is Bob.\\"),\\n HumanMessage(content=\\"What is your name?\\"),\\n ]\\n\\n # Define a chat model and invoke it with the messages\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "system", "default": "system", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessage", "type": "object"}, "SystemMessageChunk": {"additionalProperties": true, "description": "System Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "SystemMessageChunk", "default": "SystemMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessageChunk", "type": "object"}, "ToolCall": {"description": "Represents a request to call a tool.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\"name\\": \\"foo\\", \\"args\\": {\\"a\\": 1}, \\"id\\": \\"123\\"}\\n\\n This represents a request to call the tool named \\"foo\\" with arguments {\\"a\\": 1}\\n and an identifier of \\"123\\".", "properties": {"name": {"title": "Name", "type": "string"}, "args": {"additionalProperties": true, "title": "Args", "type": "object"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "type": {"const": "tool_call", "title": "Type", "type": "string"}}, "required": ["name", "args", "id"], "title": "ToolCall", "type": "object"}, "ToolCallChunk": {"description": "A chunk of a tool call (e.g., as part of a stream).\\n\\nWhen merging ToolCallChunks (e.g., via AIMessageChunk.__add__),\\nall string attributes are concatenated. Chunks are only merged if their\\nvalues of `index` are equal and not None.\\n\\nExample:\\n\\n.. code-block:: python\\n\\n left_chunks = [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":\', index=0)]\\n right_chunks = [ToolCallChunk(name=None, args=\\"1}\\", index=0)]\\n\\n (\\n AIMessageChunk(content=\\"\\", tool_call_chunks=left_chunks)\\n + AIMessageChunk(content=\\"\\", tool_call_chunks=right_chunks)\\n ).tool_call_chunks == [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":1}\', index=0)]", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "index": {"anyOf": [{"type": "integer"}, {"type": "null"}], "title": "Index"}, "type": {"const": "tool_call_chunk", "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "index"], "title": "ToolCallChunk", "type": "object"}, "ToolMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nToolMessages contain the result of a tool invocation. Typically, the result\\nis encoded inside the `content` field.\\n\\nExample: A ToolMessage representing a result of 42 from a tool call with id\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n ToolMessage(content=\\"42\\", tool_call_id=\\"call_Jja7J89XsjrOLA5r!MEOW!SL\\")\\n\\n\\nExample: A ToolMessage where only part of the tool output is sent to the model\\n and the full output is passed in to artifact.\\n\\n .. versionadded:: 0.2.17\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n tool_output = {\\n \\"stdout\\": \\"From the graph we can see that the correlation between \\"\\n \\"x and y is ...\\",\\n \\"stderr\\": None,\\n \\"artifacts\\": {\\"type\\": \\"image\\", \\"base64_data\\": \\"/9j/4gIcSU...\\"},\\n }\\n\\n ToolMessage(\\n content=tool_output[\\"stdout\\"],\\n artifact=tool_output,\\n tool_call_id=\\"call_Jja7J89XsjrOLA5r!MEOW!SL\\",\\n )\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "tool", "default": "tool", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessage", "type": "object"}, "ToolMessageChunk": {"additionalProperties": true, "description": "Tool Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ToolMessageChunk", "default": "ToolMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessageChunk", "type": "object"}, "UsageMetadata": {"description": "Usage metadata for a message, such as token counts.\\n\\nThis is a standard representation of token usage that is consistent across models.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"input_tokens\\": 350,\\n \\"output_tokens\\": 240,\\n \\"total_tokens\\": 590,\\n \\"input_token_details\\": {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n },\\n \\"output_token_details\\": {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n },\\n }\\n\\n.. versionchanged:: 0.3.9\\n\\n Added ``input_token_details`` and ``output_token_details``.", "properties": {"input_tokens": {"title": "Input Tokens", "type": "integer"}, "output_tokens": {"title": "Output Tokens", "type": "integer"}, "total_tokens": {"title": "Total Tokens", "type": "integer"}, "input_token_details": {"$ref": "#/$defs/InputTokenDetails"}, "output_token_details": {"$ref": "#/$defs/OutputTokenDetails"}}, "required": ["input_tokens", "output_tokens", "total_tokens"], "title": "UsageMetadata", "type": "object"}}, "default": null, "items": {"oneOf": [{"$ref": "#/$defs/AIMessage"}, {"$ref": "#/$defs/HumanMessage"}, {"$ref": "#/$defs/ChatMessage"}, {"$ref": "#/$defs/SystemMessage"}, {"$ref": "#/$defs/FunctionMessage"}, {"$ref": "#/$defs/ToolMessage"}, {"$ref": "#/$defs/AIMessageChunk"}, {"$ref": "#/$defs/HumanMessageChunk"}, {"$ref": "#/$defs/ChatMessageChunk"}, {"$ref": "#/$defs/SystemMessageChunk"}, {"$ref": "#/$defs/FunctionMessageChunk"}, {"$ref": "#/$defs/ToolMessageChunk"}]}, "title": "LangGraphOutput", "type": "array"}' # --- # name: test_message_graph[memory].2 ''' diff --git a/libs/langgraph/tests/conftest.py b/libs/langgraph/tests/conftest.py index 465cdc9d5..2e2857ae3 100644 --- a/libs/langgraph/tests/conftest.py +++ b/libs/langgraph/tests/conftest.py @@ -4,14 +4,14 @@ from uuid import UUID import pytest import redis -from pytest_mock import MockerFixture - from langgraph.cache.base import BaseCache from langgraph.cache.memory import InMemoryCache from langgraph.cache.redis import RedisCache from langgraph.cache.sqlite import SqliteCache from langgraph.checkpoint.base import BaseCheckpointSaver from langgraph.store.base import BaseStore +from pytest_mock import MockerFixture + from langgraph.types import Durability from tests.conftest_checkpointer import ( _checkpointer_memory, diff --git a/libs/langgraph/tests/conftest_checkpointer.py b/libs/langgraph/tests/conftest_checkpointer.py index deb8802f4..b3644e414 100644 --- a/libs/langgraph/tests/conftest_checkpointer.py +++ b/libs/langgraph/tests/conftest_checkpointer.py @@ -3,14 +3,13 @@ from contextlib import asynccontextmanager, contextmanager from uuid import uuid4 import pytest -from psycopg import AsyncConnection, Connection -from psycopg_pool import AsyncConnectionPool, ConnectionPool - from langgraph.checkpoint.postgres import PostgresSaver from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver from langgraph.checkpoint.serde.encrypted import EncryptedSerializer from langgraph.checkpoint.sqlite import SqliteSaver from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver +from psycopg import AsyncConnection, Connection +from psycopg_pool import AsyncConnectionPool, ConnectionPool pytest.register_assert_rewrite("tests.memory_assert") diff --git a/libs/langgraph/tests/conftest_store.py b/libs/langgraph/tests/conftest_store.py index 9d047a8f8..ac168cf44 100644 --- a/libs/langgraph/tests/conftest_store.py +++ b/libs/langgraph/tests/conftest_store.py @@ -3,10 +3,9 @@ from contextlib import asynccontextmanager, contextmanager from uuid import uuid4 import pytest -from psycopg import AsyncConnection, Connection - from langgraph.store.memory import InMemoryStore from langgraph.store.postgres import AsyncPostgresStore, PostgresStore +from psycopg import AsyncConnection, Connection DEFAULT_POSTGRES_URI = "postgres://postgres:postgres@localhost:5442/" diff --git a/libs/langgraph/tests/memory_assert.py b/libs/langgraph/tests/memory_assert.py index 43eb1aee6..1394f1ada 100644 --- a/libs/langgraph/tests/memory_assert.py +++ b/libs/langgraph/tests/memory_assert.py @@ -5,7 +5,6 @@ from functools import partial from typing import Any, Optional from langchain_core.runnables import RunnableConfig - from langgraph.checkpoint.base import ( BaseCheckpointSaver, ChannelVersions, @@ -15,6 +14,7 @@ from langgraph.checkpoint.base import ( SerializerProtocol, ) from langgraph.checkpoint.memory import InMemorySaver, PersistentDict + from langgraph.constants import TASKS diff --git a/libs/langgraph/tests/test_checkpoint_migration.py b/libs/langgraph/tests/test_checkpoint_migration.py index efc75735f..8b6e52033 100644 --- a/libs/langgraph/tests/test_checkpoint_migration.py +++ b/libs/langgraph/tests/test_checkpoint_migration.py @@ -5,10 +5,10 @@ from collections import defaultdict from typing import Annotated, Literal, Optional, Union import pytest +from langgraph.checkpoint.base import BaseCheckpointSaver, CheckpointTuple from typing_extensions import TypedDict from langgraph._internal._config import patch_configurable -from langgraph.checkpoint.base import BaseCheckpointSaver, CheckpointTuple from langgraph.graph.state import StateGraph from langgraph.pregel._checkpoint import copy_checkpoint from langgraph.types import Command, Interrupt, PregelTask, StateSnapshot, interrupt diff --git a/libs/langgraph/tests/test_interrupt_migration.py b/libs/langgraph/tests/test_interrupt_migration.py index 8149e0f85..3dbb9421b 100644 --- a/libs/langgraph/tests/test_interrupt_migration.py +++ b/libs/langgraph/tests/test_interrupt_migration.py @@ -1,8 +1,8 @@ import warnings import pytest - from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer + from langgraph.types import Interrupt from langgraph.warnings import LangGraphDeprecatedSinceV10 diff --git a/libs/langgraph/tests/test_interruption.py b/libs/langgraph/tests/test_interruption.py index 9e5f928ce..a484d74e5 100644 --- a/libs/langgraph/tests/test_interruption.py +++ b/libs/langgraph/tests/test_interruption.py @@ -1,7 +1,7 @@ import pytest +from langgraph.checkpoint.base import BaseCheckpointSaver from typing_extensions import TypedDict -from langgraph.checkpoint.base import BaseCheckpointSaver from langgraph.graph import END, START, StateGraph from langgraph.types import Durability diff --git a/libs/langgraph/tests/test_large_cases.py b/libs/langgraph/tests/test_large_cases.py index d626d05ed..b215e63bb 100644 --- a/libs/langgraph/tests/test_large_cases.py +++ b/libs/langgraph/tests/test_large_cases.py @@ -9,6 +9,10 @@ import pytest from langchain_core.messages import AIMessage, AnyMessage, ToolCall from langchain_core.runnables import RunnableConfig, RunnableMap, RunnablePick from langchain_core.tools import tool +from langgraph.checkpoint.base import BaseCheckpointSaver +from langgraph.checkpoint.memory import InMemorySaver +from langgraph.prebuilt.chat_agent_executor import create_react_agent +from langgraph.prebuilt.tool_node import ToolNode from pytest_mock import MockerFixture from syrupy import SnapshotAssertion from typing_extensions import TypedDict @@ -16,13 +20,9 @@ from typing_extensions import TypedDict from langgraph._internal._constants import PULL, PUSH from langgraph.channels.last_value import LastValue from langgraph.channels.untracked_value import UntrackedValue -from langgraph.checkpoint.base import BaseCheckpointSaver -from langgraph.checkpoint.memory import InMemorySaver from langgraph.constants import END, START from langgraph.graph import StateGraph from langgraph.graph.message import MessagesState, add_messages -from langgraph.prebuilt.chat_agent_executor import create_react_agent -from langgraph.prebuilt.tool_node import ToolNode from langgraph.pregel import NodeBuilder, Pregel from langgraph.types import ( Command, diff --git a/libs/langgraph/tests/test_large_cases_async.py b/libs/langgraph/tests/test_large_cases_async.py index 022034e66..a8f0b6e19 100644 --- a/libs/langgraph/tests/test_large_cases_async.py +++ b/libs/langgraph/tests/test_large_cases_async.py @@ -13,18 +13,18 @@ from typing import ( import pytest from langchain_core.messages import AnyMessage, ToolCall from langchain_core.runnables import RunnableConfig, RunnablePick +from langgraph.checkpoint.base import BaseCheckpointSaver +from langgraph.prebuilt.chat_agent_executor import create_react_agent +from langgraph.prebuilt.tool_node import ToolNode from pytest_mock import MockerFixture from typing_extensions import TypedDict from langgraph._internal._constants import PULL, PUSH from langgraph.channels.last_value import LastValue from langgraph.channels.untracked_value import UntrackedValue -from langgraph.checkpoint.base import BaseCheckpointSaver from langgraph.constants import END, START from langgraph.graph.message import add_messages from langgraph.graph.state import StateGraph -from langgraph.prebuilt.chat_agent_executor import create_react_agent -from langgraph.prebuilt.tool_node import ToolNode from langgraph.pregel import NodeBuilder, Pregel from langgraph.types import PregelTask, Send, StateSnapshot, StreamWriter from tests.any_int import AnyInt diff --git a/libs/langgraph/tests/test_pregel.py b/libs/langgraph/tests/test_pregel.py index d60f6bdd0..c01163794 100644 --- a/libs/langgraph/tests/test_pregel.py +++ b/libs/langgraph/tests/test_pregel.py @@ -23,18 +23,7 @@ from langchain_core.runnables import ( RunnablePassthrough, ) from langchain_core.runnables.graph import Edge -from langsmith import traceable -from pydantic import BaseModel, ConfigDict, Field, ValidationError -from pytest_mock import MockerFixture -from syrupy import SnapshotAssertion -from typing_extensions import NotRequired, TypedDict - -from langgraph._internal._constants import CONFIG_KEY_NODE_FINISHED, ERROR, PULL from langgraph.cache.base import BaseCache -from langgraph.channels.binop import BinaryOperatorAggregate -from langgraph.channels.ephemeral_value import EphemeralValue -from langgraph.channels.last_value import LastValue -from langgraph.channels.topic import Topic from langgraph.checkpoint.base import ( BaseCheckpointSaver, Checkpoint, @@ -42,19 +31,30 @@ from langgraph.checkpoint.base import ( CheckpointTuple, ) from langgraph.checkpoint.memory import InMemorySaver +from langgraph.prebuilt.tool_node import ToolNode +from langgraph.store.base import BaseStore +from langsmith import traceable +from pydantic import BaseModel, ConfigDict, Field, ValidationError +from pytest_mock import MockerFixture +from syrupy import SnapshotAssertion +from typing_extensions import NotRequired, TypedDict + +from langgraph._internal._constants import CONFIG_KEY_NODE_FINISHED, ERROR, PULL +from langgraph.channels.binop import BinaryOperatorAggregate +from langgraph.channels.ephemeral_value import EphemeralValue +from langgraph.channels.last_value import LastValue +from langgraph.channels.topic import Topic from langgraph.config import get_stream_writer from langgraph.errors import GraphRecursionError, InvalidUpdateError, ParentCommand from langgraph.func import entrypoint, task from langgraph.graph import END, START, StateGraph from langgraph.graph.message import MessagesState, add_messages -from langgraph.prebuilt.tool_node import ToolNode from langgraph.pregel import ( NodeBuilder, Pregel, ) from langgraph.pregel._loop import SyncPregelLoop from langgraph.pregel._runner import PregelRunner -from langgraph.store.base import BaseStore from langgraph.types import ( CachePolicy, Command, diff --git a/libs/langgraph/tests/test_pregel_async.py b/libs/langgraph/tests/test_pregel_async.py index b5bd272af..a1d552e6a 100644 --- a/libs/langgraph/tests/test_pregel_async.py +++ b/libs/langgraph/tests/test_pregel_async.py @@ -23,16 +23,7 @@ import pytest from langchain_core.language_models import GenericFakeChatModel from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnablePassthrough from langchain_core.utils.aiter import aclosing -from pydantic import BaseModel, ConfigDict, Field, ValidationError -from pytest_mock import MockerFixture -from syrupy import SnapshotAssertion -from typing_extensions import NotRequired, TypedDict - -from langgraph._internal._constants import CONFIG_KEY_NODE_FINISHED, ERROR, PULL from langgraph.cache.base import BaseCache -from langgraph.channels.binop import BinaryOperatorAggregate -from langgraph.channels.last_value import LastValue -from langgraph.channels.topic import Topic from langgraph.checkpoint.base import ( BaseCheckpointSaver, ChannelVersions, @@ -42,6 +33,17 @@ from langgraph.checkpoint.base import ( ) from langgraph.checkpoint.memory import InMemorySaver from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer +from langgraph.prebuilt.tool_node import ToolNode +from langgraph.store.base import BaseStore +from pydantic import BaseModel, ConfigDict, Field, ValidationError +from pytest_mock import MockerFixture +from syrupy import SnapshotAssertion +from typing_extensions import NotRequired, TypedDict + +from langgraph._internal._constants import CONFIG_KEY_NODE_FINISHED, ERROR, PULL +from langgraph.channels.binop import BinaryOperatorAggregate +from langgraph.channels.last_value import LastValue +from langgraph.channels.topic import Topic from langgraph.errors import ( GraphRecursionError, InvalidUpdateError, @@ -50,11 +52,9 @@ from langgraph.errors import ( from langgraph.func import entrypoint, task from langgraph.graph import END, START, StateGraph from langgraph.graph.message import MessagesState, add_messages -from langgraph.prebuilt.tool_node import ToolNode from langgraph.pregel import NodeBuilder, Pregel from langgraph.pregel._loop import AsyncPregelLoop from langgraph.pregel._runner import PregelRunner -from langgraph.store.base import BaseStore from langgraph.types import ( CachePolicy, Command, diff --git a/libs/langgraph/tests/test_remote_graph.py b/libs/langgraph/tests/test_remote_graph.py index 1a47067d7..24924bde1 100644 --- a/libs/langgraph/tests/test_remote_graph.py +++ b/libs/langgraph/tests/test_remote_graph.py @@ -868,9 +868,9 @@ async def test_ainvoke(): ) @pytest.mark.anyio async def test_langgraph_cloud_integration(): + from langgraph.checkpoint.memory import InMemorySaver from langgraph_sdk.client import get_client, get_sync_client - from langgraph.checkpoint.memory import InMemorySaver from langgraph.graph import END, START, MessagesState, StateGraph # create RemotePregel instance diff --git a/libs/langgraph/tests/test_runnable.py b/libs/langgraph/tests/test_runnable.py index 35eb53c1c..e7d1950ce 100644 --- a/libs/langgraph/tests/test_runnable.py +++ b/libs/langgraph/tests/test_runnable.py @@ -4,10 +4,10 @@ from typing import Any, Optional import pytest from 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b/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py @@ -33,9 +33,6 @@ from langchain_core.runnables import ( RunnableSequence, ) from langchain_core.tools import BaseTool -from pydantic import BaseModel -from typing_extensions import Annotated, NotRequired, TypedDict - from langgraph._internal._runnable import RunnableCallable, RunnableLike from langgraph._internal._typing import MISSING from langgraph.errors import ErrorCode, create_error_message @@ -43,12 +40,15 @@ from langgraph.graph import END, StateGraph from langgraph.graph.message import add_messages from langgraph.graph.state import CompiledStateGraph from langgraph.managed import RemainingSteps -from langgraph.prebuilt.tool_node import ToolNode from langgraph.runtime import Runtime from langgraph.store.base import BaseStore from langgraph.types import Checkpointer, Send from langgraph.typing import ContextT from langgraph.warnings import LangGraphDeprecatedSinceV10 +from pydantic import BaseModel +from typing_extensions import Annotated, NotRequired, TypedDict + +from langgraph.prebuilt.tool_node import ToolNode StructuredResponse = Union[dict, BaseModel] StructuredResponseSchema = Union[dict, type[BaseModel]] diff --git a/libs/prebuilt/langgraph/prebuilt/tool_node.py b/libs/prebuilt/langgraph/prebuilt/tool_node.py index 252f88802..461e70d09 100644 --- a/libs/prebuilt/langgraph/prebuilt/tool_node.py +++ b/libs/prebuilt/langgraph/prebuilt/tool_node.py @@ -68,14 +68,13 @@ from langchain_core.tools.base import ( TOOL_MESSAGE_BLOCK_TYPES, get_all_basemodel_annotations, ) -from pydantic import BaseModel -from typing_extensions import Annotated, get_args, get_origin - from langgraph._internal._runnable import RunnableCallable from langgraph.errors import GraphBubbleUp from langgraph.graph.message import REMOVE_ALL_MESSAGES from langgraph.store.base import BaseStore from langgraph.types import Command, Send +from pydantic import BaseModel +from typing_extensions import Annotated, get_args, get_origin INVALID_TOOL_NAME_ERROR_TEMPLATE = ( "Error: {requested_tool} is not a valid tool, try one of [{available_tools}]." diff --git a/libs/prebuilt/langgraph/prebuilt/tool_validator.py b/libs/prebuilt/langgraph/prebuilt/tool_validator.py index 19df4233f..83469b991 100644 --- a/libs/prebuilt/langgraph/prebuilt/tool_validator.py +++ b/libs/prebuilt/langgraph/prebuilt/tool_validator.py @@ -29,12 +29,11 @@ from langchain_core.runnables import ( from langchain_core.runnables.config import get_executor_for_config from langchain_core.tools import BaseTool, create_schema_from_function from langchain_core.utils.pydantic import is_basemodel_subclass +from langgraph._internal._runnable import RunnableCallable from pydantic import BaseModel, ValidationError from pydantic.v1 import BaseModel as BaseModelV1 from pydantic.v1 import ValidationError as ValidationErrorV1 -from langgraph._internal._runnable import RunnableCallable - def _default_format_error( error: BaseException, diff --git a/libs/prebuilt/tests/conftest.py b/libs/prebuilt/tests/conftest.py index bb44383a9..72ee4ad97 100644 --- a/libs/prebuilt/tests/conftest.py +++ b/libs/prebuilt/tests/conftest.py @@ -3,10 +3,10 @@ from collections.abc import AsyncIterator, Iterator from uuid import UUID import pytest -from pytest_mock import MockerFixture - from langgraph.checkpoint.base import BaseCheckpointSaver from langgraph.store.base import BaseStore +from pytest_mock import MockerFixture + from tests.conftest_checkpointer import ( _checkpointer_memory, _checkpointer_postgres, diff --git a/libs/prebuilt/tests/conftest_checkpointer.py b/libs/prebuilt/tests/conftest_checkpointer.py index b3c782001..3db256f45 100644 --- a/libs/prebuilt/tests/conftest_checkpointer.py +++ b/libs/prebuilt/tests/conftest_checkpointer.py @@ -3,13 +3,13 @@ from contextlib import asynccontextmanager, contextmanager from uuid import uuid4 import pytest -from psycopg import AsyncConnection, Connection -from psycopg_pool import AsyncConnectionPool, ConnectionPool - from langgraph.checkpoint.postgres import PostgresSaver from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver from langgraph.checkpoint.sqlite import SqliteSaver from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver +from psycopg import AsyncConnection, Connection +from psycopg_pool import AsyncConnectionPool, ConnectionPool + from tests.memory_assert import MemorySaverAssertImmutable DEFAULT_POSTGRES_URI = "postgres://postgres:postgres@localhost:5442/" diff --git a/libs/prebuilt/tests/conftest_store.py b/libs/prebuilt/tests/conftest_store.py index 9d047a8f8..ac168cf44 100644 --- a/libs/prebuilt/tests/conftest_store.py +++ b/libs/prebuilt/tests/conftest_store.py @@ -3,10 +3,9 @@ from contextlib import asynccontextmanager, contextmanager from uuid import uuid4 import pytest -from psycopg import AsyncConnection, Connection - from langgraph.store.memory import InMemoryStore from langgraph.store.postgres import AsyncPostgresStore, PostgresStore +from psycopg import AsyncConnection, Connection DEFAULT_POSTGRES_URI = "postgres://postgres:postgres@localhost:5442/" diff --git a/libs/prebuilt/tests/test_deprecation.py b/libs/prebuilt/tests/test_deprecation.py index 63e9e9b2e..72fc1eede 100644 --- a/libs/prebuilt/tests/test_deprecation.py +++ b/libs/prebuilt/tests/test_deprecation.py @@ -1,8 +1,8 @@ import pytest +from langgraph.warnings import LangGraphDeprecatedSinceV10 from typing_extensions import TypedDict from langgraph.prebuilt import create_react_agent -from langgraph.warnings import LangGraphDeprecatedSinceV10 from tests.model import FakeToolCallingModel diff --git a/libs/prebuilt/tests/test_react_agent.py b/libs/prebuilt/tests/test_react_agent.py index cff4c13c3..3f977d54f 100644 --- a/libs/prebuilt/tests/test_react_agent.py +++ b/libs/prebuilt/tests/test_react_agent.py @@ -27,14 +27,18 @@ from langchain_core.messages import ( from langchain_core.runnables import RunnableConfig, RunnableLambda from langchain_core.tools import InjectedToolCallId, ToolException from langchain_core.tools import tool as dec_tool -from pydantic import BaseModel, Field -from pydantic.v1 import BaseModel as BaseModelV1 -from typing_extensions import TypedDict - from langgraph.checkpoint.base import BaseCheckpointSaver from langgraph.config import get_stream_writer from langgraph.graph import START, MessagesState, StateGraph, add_messages from langgraph.graph.message import REMOVE_ALL_MESSAGES +from langgraph.runtime import Runtime +from langgraph.store.base import BaseStore +from langgraph.store.memory import InMemoryStore +from langgraph.types import Command, Interrupt, interrupt +from pydantic import BaseModel, Field +from pydantic.v1 import BaseModel as BaseModelV1 +from typing_extensions import TypedDict + from langgraph.prebuilt import ( ToolNode, create_react_agent, @@ -54,10 +58,6 @@ from langgraph.prebuilt.tool_node import ( _get_state_args, _infer_handled_types, ) -from langgraph.runtime import Runtime -from langgraph.store.base import BaseStore -from langgraph.store.memory import InMemoryStore -from langgraph.types import Command, Interrupt, interrupt from tests.any_str import AnyStr from tests.messages import _AnyIdHumanMessage, _AnyIdToolMessage from tests.model import FakeToolCallingModel diff --git a/libs/prebuilt/tests/test_tool_node.py b/libs/prebuilt/tests/test_tool_node.py index 2b6dfbebe..753f4aae2 100644 --- a/libs/prebuilt/tests/test_tool_node.py +++ b/libs/prebuilt/tests/test_tool_node.py @@ -12,14 +12,14 @@ from langchain_core.messages import ( ) from langchain_core.tools import BaseTool, ToolException from langchain_core.tools import tool as dec_tool +from langgraph.errors import GraphBubbleUp, GraphInterrupt +from langgraph.graph.message import REMOVE_ALL_MESSAGES +from langgraph.types import Command, Send from pydantic import BaseModel, ValidationError from pydantic.v1 import ValidationError as ValidationErrorV1 -from langgraph.errors import GraphBubbleUp, 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=?UTF-8?q?=20surface=20interrupts=20for=20stream=5Fmod=E2=80=A6=20(#6141)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ### Description Revert change in #5201 that prevented the surfacing of interrupts when `stream_mode="values"`. [Comment highlighting affected lines](https://github.com/langchain-ai/langgraph/pull/5201#discussion_r2344884841) Resolves #5409 ### Test Add test to verify interrupts are properly surfaced when `stream_mode="values"` (`test_interrupt_stream_mode_values`) --- libs/langgraph/langgraph/pregel/_loop.py | 6 +++++- libs/langgraph/tests/test_pregel.py | 19 +++++++++++++++++++ 2 files changed, 24 insertions(+), 1 deletion(-) diff --git a/libs/langgraph/langgraph/pregel/_loop.py b/libs/langgraph/langgraph/pregel/_loop.py index 9c6c44d20..3583b6ff1 100644 --- a/libs/langgraph/langgraph/pregel/_loop.py +++ b/libs/langgraph/langgraph/pregel/_loop.py @@ -904,7 +904,11 @@ class PregelLoop: ) } ] - self._emit("updates", lambda: iter(interrupts)) + stream_modes = self.stream.modes if self.stream else [] + if "updates" in stream_modes: + self._emit("updates", lambda: iter(interrupts)) + elif "values" in stream_modes: + self._emit("values", lambda: iter(interrupts)) elif writes[0][0] != ERROR: self._emit( "updates", diff --git a/libs/langgraph/tests/test_pregel.py b/libs/langgraph/tests/test_pregel.py index c01163794..b9d2b641c 100644 --- a/libs/langgraph/tests/test_pregel.py +++ b/libs/langgraph/tests/test_pregel.py @@ -8430,3 +8430,22 @@ def test_null_resume_disallowed_with_multiple_interrupts( "text_1": "resume for prompt: original text 1", "text_2": "resume for prompt: original text 2", } + + +def test_interrupt_stream_mode_values(): + """Test that interrupts are surfaced when steam_mode='values'""" + + class State(TypedDict): + human_input: str + + def human_input_node(state: State) -> Command: + human_input = interrupt("interrupt") + return Command(update={"human_input": human_input}) + + builder = StateGraph(State) + builder.add_node(human_input_node) + builder.add_edge(START, "human_input_node") + app = builder.compile() + + result = [*app.stream(State(), stream_mode="values")] + assert "__interrupt__" in result[-1] From 3a22aa0af38ab193323967390291e22ac45c317b Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 15 Sep 2025 14:00:34 -0400 Subject: [PATCH 25/54] chore(deps): bump actions/github-script from 7 to 8 (#6150) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bumps [actions/github-script](https://github.com/actions/github-script) from 7 to 8.

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v8.0.0

What's Changed

⚠️ Minimum Compatible Runner Version

v2.327.1
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Make sure your runner is updated to this version or newer to use this release.

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Full Changelog: https://github.com/actions/github-script/compare/v7.1.0...v8.0.0

v7.1.0

What's Changed

New Contributors

Full Changelog: https://github.com/actions/github-script/compare/v7...v7.1.0

... (truncated)

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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- .github/workflows/bench.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/bench.yml b/.github/workflows/bench.yml index 7061e2852..a3c9b8466 100644 --- a/.github/workflows/bench.yml +++ b/.github/workflows/bench.yml @@ -57,7 +57,7 @@ jobs: echo EOF } >> "$GITHUB_OUTPUT" - name: Annotation - uses: actions/github-script@v7 + uses: actions/github-script@v8 with: script: | const file = JSON.parse(`${{ steps.files.outputs.added_modified_renamed }}`)[0] From eeadeb282ea44cabb27616c9fca2dfb3d08a11b4 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 16 Sep 2025 16:25:47 +0100 Subject: [PATCH 26/54] fix: Ensure SSE streams flush trailing events (#6155) ## Summary - ensure both async and sync HTTP clients flush the SSE decoder after streaming - add regression tests covering trailing SSE events without a terminating blank line ## Testing - make format - make lint - make test ------ https://chatgpt.com/codex/tasks/task_e_68c9727ca9f8832d9f207323c5e02a72 --- libs/sdk-py/langgraph_sdk/client.py | 4 + libs/sdk-py/tests/fixtures/response.txt | 239 ++++++++++++++++++++++++ libs/sdk-py/tests/test_client_stream.py | 81 ++++++++ 3 files changed, 324 insertions(+) create mode 100644 libs/sdk-py/tests/fixtures/response.txt create mode 100644 libs/sdk-py/tests/test_client_stream.py diff --git a/libs/sdk-py/langgraph_sdk/client.py b/libs/sdk-py/langgraph_sdk/client.py index 71d256fce..2605d5bef 100644 --- a/libs/sdk-py/langgraph_sdk/client.py +++ b/libs/sdk-py/langgraph_sdk/client.py @@ -483,6 +483,8 @@ class HttpClient: sse = decoder.decode(line=line.rstrip(b"\n")) if sse is not None: yield sse + if sse := decoder.decode(b""): + yield sse async def _aencode_json(json: Any) -> tuple[dict[str, str], bytes | None]: @@ -3673,6 +3675,8 @@ class SyncHttpClient: sse = decoder.decode(line.rstrip(b"\n")) if sse is not None: yield sse + if sse := decoder.decode(b""): + yield sse def _encode_json(json: Any) -> tuple[dict[str, str], bytes]: diff --git a/libs/sdk-py/tests/fixtures/response.txt b/libs/sdk-py/tests/fixtures/response.txt new file mode 100644 index 000000000..3d53efe56 --- /dev/null +++ b/libs/sdk-py/tests/fixtures/response.txt @@ -0,0 +1,239 @@ +event: metadata +data: {"run_id":"01994ed8-29c4-7108-93d4-d649c7a9e370","attempt":1} + +event: debug +data: {"step":-1,"timestamp":"2025-09-15T19:26:53.454492+00:00","type":"checkpoint","payload":{"config":{"configurable":{"checkpoint_ns":"","k":6,"host":"chat-langchain-v3-823d63bedfd35b5b8540dfc065f1c973.us.langgraph.app","accept":"*/*","origin":"https://smith.langchain.com","run_id":"01994ed8-29c4-7108-93d4-d649c7a9e370","referer":"https://smith.langchain.com/","user_id":"b9825b9a-aaad-4896-9b8d-c289030d3b03","graph_id":"chat","priority":"u=1, i","x-scheme":"https","sec-ch-ua":"\"Chromium\";v=\"140\", \"Not=A?Brand\";v=\"24\", \"Google Chrome\";v=\"140\"","thread_id":"23c8ebb7-3500-4f73-9b02-ab2184201bdf","x-real-ip":"10.0.0.161","x-user-id":"b9825b9a-aaad-4896-9b8d-c289030d3b03","user-agent":"Mozilla/5.0 (Macintosh; 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You must only use information from the provided search results. Use an unbiased and journalistic tone. Combine search results together into a coherent answer. Do not repeat text. Cite search results using [${{number}}] notation. Only cite the most relevant results that answer the question accurately. Place these citations at the end of the individual sentence or paragraph that reference them. Do not put them all at the end, but rather sprinkle them throughout. If different results refer to different entities within the same name, write separate answers for each entity. For any citations, MAKE SURE to hyperlink them like [citation](source url) to make it easy for the user to click into the full docs.\n\n\n\nYou should use bullet points in your answer for readability. Put citations where they apply rather than putting them all at the end. DO NOT PUT THEM ALL THAT END, PUT THEM IN THE BULLET POINTS. 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Your job is to help people using LangChain answer any issues they are running into.\n\nA user will come to you with an inquiry. Your first job is to classify what type of inquiry it is. The types of inquiries you should classify it as are:\n\n## `more-info`\nClassify a user inquiry as this if you need more information before you will be able to help them. Examples include:\n- The user complains about an error but doesn't provide the error\n- The user says something isn't working but doesn't explain why/how it's not working\n\n## `langchain`\nClassify a user inquiry as this if it can be answered by looking up information related to LangChain open source package. The LangChain open source package is a python library for working with LLMs. It integrates with various LLMs, databases and APIs.\n\n## `general`\nClassify a user inquiry as this if it is just a general question","general_system_prompt":"You are a LangChain Developer advocate. 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You must only use information from the provided search results. Use an unbiased and journalistic tone. Combine search results together into a coherent answer. Do not repeat text. Cite search results using [${{number}}] notation. Only cite the most relevant results that answer the question accurately. Place these citations at the end of the individual sentence or paragraph that reference them. Do not put them all at the end, but rather sprinkle them throughout. If different results refer to different entities within the same name, write separate answers for each entity. For any citations, MAKE SURE to hyperlink them like [citation](source url) to make it easy for the user to click into the full docs.\n\n\n\nYou should use bullet points in your answer for readability. Put citations where they apply rather than putting them all at the end. DO NOT PUT THEM ALL THAT END, PUT THEM IN THE BULLET POINTS. 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The length of the plan depends on the question.\n\nYou have access to the following documentation sources:\n- Conceptual docs\n- Integration docs\n- How-to guides\n\nYou do not need to specify where you want to research for all steps of the plan, but it's sometimes helpful.","generate_queries_system_prompt":"Generate 3 search queries to search for to answer the user's question.\n\nThese search queries should be diverse in nature - do not generate repetitive ones.","checkpoint_id":"1f09269f-1e57-6141-8002-9f0597d5daea"}},"values":{"messages":[{"content":"hi","additional_kwargs":{},"response_metadata":{},"type":"human","name":null,"id":"7aae7cba-94b6-4218-8747-4f0f66a34000","example":false},{"content":"Hello! I'm here to help you with any questions you might have about LangChain. Is there something specific you'd like to know about this framework for developing applications powered by large language models?","additional_kwargs":{},"response_metadata":{"model_name":"claude-3-5-haiku-20241022","stop_reason":"end_turn","stop_sequence":null},"type":"ai","name":null,"id":"run--824c9553-e992-40d0-a7a4-1396c088a28c","example":false,"tool_calls":[],"invalid_tool_calls":[],"usage_metadata":{"input_tokens":3003,"output_tokens":44,"total_tokens":3047,"input_token_details":{"cache_creation":0,"cache_read":0}}}],"steps":[],"documents":[{"id":null,"metadata":{"language":"en","title":"Introduction | 🦜️🔗 Langchain","changefreq":"weekly","description":"LangChain is a framework for developing applications powered by large language models (LLMs).","priority":"0.5","source":"https://js.langchain.com/docs/introduction","loc":"https://js.langchain.com/docs/introduction","lastmod":null,"uuid":"feabcd8c-edd5-5221-ba28-30ac81c1a391"},"page_content":"Introduction | 🦜️🔗 Langchain","type":"Document"},{"id":null,"metadata":{"language":"en","title":"LangChain v0.3 | 🦜️🔗 Langchain","changefreq":"weekly","priority":"0.5","description":"Last updated: 07.08.25","source":"https://js.langchain.com/docs/versions/v0_3/","loc":"https://js.langchain.com/docs/versions/v0_3/","lastmod":null,"uuid":"57aa0c97-cd76-55b6-b034-3466be0e5093"},"page_content":"LangChain v0.3 | 🦜️🔗 Langchain","type":"Document"},{"id":null,"metadata":{"language":"en","title":"LangChain v0.2 | 🦜️🔗 Langchain","changefreq":"weekly","priority":"0.5","description":"LangChain v0.2 was released in May 2024. This release includes a number of breaking changes and deprecations. This document contains a guide on upgrading to 0.2.x, as well as a list of deprecations and breaking changes.","source":"https://js.langchain.com/docs/versions/v0_2/","lastmod":null,"loc":"https://js.langchain.com/docs/versions/v0_2/","uuid":"9541a761-f9ec-5918-8d86-ecf8bf50ac05"},"page_content":"LangChain v0.2 | 🦜️🔗 Langchain","type":"Document"},{"id":null,"metadata":{"language":"en","title":"LangChain Documentation Style Guide | 🦜️🔗 Langchain","changefreq":"weekly","description":"Introduction","priority":"0.5","source":"https://js.langchain.com/docs/contributing/documentation/style_guide","lastmod":null,"loc":"https://js.langchain.com/docs/contributing/documentation/style_guide","uuid":"e88da2f4-10f4-52b4-b0d2-72423f1dc62f"},"page_content":"LangChain Documentation Style Guide | 🦜️🔗 Langchain","type":"Document"},{"id":null,"metadata":{"language":"en","title":"LangChain Expression Language (LCEL) | 🦜️🔗 Langchain","changefreq":"weekly","priority":"0.5","description":"- Runnable Interface","source":"https://js.langchain.com/docs/concepts/lcel","loc":"https://js.langchain.com/docs/concepts/lcel","lastmod":null,"uuid":"50a26404-c85a-5f56-9589-773b53702159"},"page_content":"LangChain Expression Language (LCEL) | 🦜️🔗 Langchain","type":"Document"},{"id":null,"metadata":{"language":"en","title":"LangChain releases | 🦜️🔗 Langchain","changefreq":"weekly","priority":"0.5","description":"The LangChain ecosystem is composed of different component packages (e.g., @langchain/core, langchain, @langchain/community, @langchain/langgraph, partner packages etc.)","source":"https://js.langchain.com/docs/versions/release_policy","loc":"https://js.langchain.com/docs/versions/release_policy","lastmod":null,"uuid":"d7ae11db-bac7-5669-87cc-8629cfb61dd0"},"page_content":"LangChain releases | 🦜️🔗 Langchain","type":"Document"},{"id":null,"metadata":{"language":"en","title":"Key-value stores | 🦜️🔗 Langchain","changefreq":"weekly","priority":"0.5","description":"Key-value stores are used by other LangChain components to store and retrieve data.","source":"https://js.langchain.com/docs/integrations/stores/","loc":"https://js.langchain.com/docs/integrations/stores/","lastmod":null,"uuid":"9f977d9f-3409-5b08-9027-cbe6ddad89cc"},"page_content":"Key-value stores | 🦜️🔗 Langchain","type":"Document"},{"id":null,"metadata":{"language":"en","title":"Key-value stores | 🦜️🔗 Langchain","changefreq":"weekly","priority":"0.5","description":"Overview","source":"https://js.langchain.com/docs/concepts/key_value_stores","loc":"https://js.langchain.com/docs/concepts/key_value_stores","lastmod":null,"uuid":"187ab437-b454-5862-95a3-8c9e503f0308"},"page_content":"Key-value stores | 🦜️🔗 Langchain","type":"Document"},{"id":null,"metadata":{"language":"en","title":"Why LangChain? | 🦜️🔗 Langchain","changefreq":"weekly","description":"The goal of the langchain package and LangChain the company is to make it as easy possible for developers to build applications that reason.","priority":"0.5","source":"https://js.langchain.com/docs/concepts/why_langchain","loc":"https://js.langchain.com/docs/concepts/why_langchain","lastmod":null,"uuid":"071032fb-45e5-56c5-be05-c44a9dcde806"},"page_content":"Why LangChain? | 🦜️🔗 Langchain","type":"Document"},{"id":null,"metadata":{"language":"en","title":"Docusaurus | 🦜️🔗 LangChain","changefreq":"weekly","description":"Docusaurus is a static-site generator which provides out-of-the-box documentation features.","priority":"0.5","source":"https://python.langchain.com/docs/integrations/document_loaders/docusaurus/","lastmod":null,"loc":"https://python.langchain.com/docs/integrations/document_loaders/docusaurus/","uuid":"8ca8dfbc-51cb-5b5a-9870-a1203e464dfc"},"page_content":"of knowledge or computation. This can include Python REPLs, embeddings, search engines, and more. LangChain provides a large collection of common utils to use in your application.\\\\nChains: Chains go beyond just a single LLM call, and are sequences of calls (whether to an LLM or a different utility). LangChain provides a standard interface for chains, lots of integrations with other tools, and end-to-end chains for common applications.\\\\nIndexes: Language models are often more powerful when combined with your own text data - this module covers best practices for doing exactly that.\\\\nAgents: Agents involve an LLM making decisions about which Actions to take, taking that Action, seeing an Observation, and repeating that until done. LangChain provides a standard interface for agents, a selection of agents to choose from, and examples of end to end agents.\\\\nMemory: Memory is the concept of persisting state between calls of a chain/agent. LangChain provides a standard interface for memory, a collection of memory implementations, and examples of chains/agents that use memory.\\\\nChat: Chat models are a variation on Language Models that expose a different API - rather than working with raw text, they work with messages. LangChain provides a standard interface for working with them and doing all the same things as above.\\\\n\\\\n\\\\n\\\\n\\\\n\\\\nUse Cases#\\\\nThe above modules can be used in a variety of ways. LangChain also provides guidance and assistance in this. Below are some of the common use cases LangChain supports.\\\\n\\\\nAgents: Agents are systems that use a language model to interact with other tools. These can be used to do more grounded question/answering, interact with APIs, or even take actions.\\\\nChatbots: Since language models are good at producing text, that makes them ideal for creating chatbots.\\\\nData Augmented Generation: Data Augmented Generation involves specific types of chains that first interact with an external datasource to fetch data to use in the generation step. Examples of this include summarization of long pieces of text and question/answering over specific data sources.\\\\nQuestion Answering: Answering questions over specific documents, only utilizing the information in those documents to construct an answer. A type of Data Augmented Generation.\\\\nSummarization: Summarizing longer documents into shorter, more condensed chunks of information. A type of Data Augmented Generation.\\\\nQuerying Tabular Data: If you want to understand how to use LLMs to query data that is stored in a tabular format (csvs, SQL, dataframes, etc) you should read this page.\\\\nEvaluation: Generative models are notoriously hard to evaluate with traditional metrics. One new way of evaluating them is using language models themselves to do the evaluation. LangChain provides some prompts/chains for assisting in this.\\\\nGenerate similar examples: Generating similar examples to a given input. This is a common use case for many applications, and LangChain provides some prompts/chains for assisting in this.\\\\nCompare models: Experimenting with different prompts, models, and chains is a big part of developing the best possible application. The ModelLaboratory makes it easy to do so.\\\\n\\\\n\\\\n\\\\n\\\\n\\\\nReference Docs#\\\\nAll of LangChain’s reference documentation, in one place. Full documentation on all methods, classes, installation methods, and integration setups for LangChain.\\\\n\\\\nReference Documentation\\\\n\\\\n\\\\n\\\\n\\\\n\\\\nLangChain Ecosystem#\\\\nGuides for how other companies/products can be used with LangChain\\\\n\\\\nLangChain Ecosystem\\\\n\\\\n\\\\n\\\\n\\\\n\\\\nAdditional Resources#\\\\nAdditional collection of resources we think may be useful as you develop your application!\\\\n\\\\nLangChainHub: The LangChainHub is a place to share and explore other prompts, chains, and agents.\\\\nGlossary: A glossary of all related terms, papers, methods, etc. Whether implemented in LangChain or not!\\\\nGallery: A collection of our favorite projects that use LangChain. Useful for","type":"Document"}],"answer":"Hello! I'm here to help you with any questions you might have about LangChain. Is there something specific you'd like to know about this framework for developing applications powered by large language models?","query":"hi"},"metadata":{"source":"loop","step":3,"parents":{}},"next":[],"tasks":[],"checkpoint":{"checkpoint_id":"1f09269f-38a3-68bf-8003-0693e2e87d63","thread_id":"23c8ebb7-3500-4f73-9b02-ab2184201bdf","checkpoint_ns":""},"parent_checkpoint":{"checkpoint_id":"1f09269f-1e57-6141-8002-9f0597d5daea","thread_id":"23c8ebb7-3500-4f73-9b02-ab2184201bdf","checkpoint_ns":""}}} + diff --git a/libs/sdk-py/tests/test_client_stream.py b/libs/sdk-py/tests/test_client_stream.py new file mode 100644 index 000000000..228ecf286 --- /dev/null +++ b/libs/sdk-py/tests/test_client_stream.py @@ -0,0 +1,81 @@ +from collections.abc import Iterator +from pathlib import Path + +import httpx +import pytest + +from langgraph_sdk.client import HttpClient, SyncHttpClient +from langgraph_sdk.schema import StreamPart +from langgraph_sdk.sse import BytesLike, BytesLineDecoder, SSEDecoder + +with open(Path(__file__).parent / "fixtures" / "response.txt", "rb") as f: + RESPONSE_PAYLOAD = f.read() + + +def iter_lines_raw(payload: list[bytes]) -> Iterator[BytesLike]: + decoder = BytesLineDecoder() + for part in payload: + yield from decoder.decode(part) + yield from decoder.flush() + + +def test_stream_see(): + for groups in ( + [RESPONSE_PAYLOAD], + RESPONSE_PAYLOAD.splitlines(keepends=True), + ): + parts: list[StreamPart] = [] + + decoder = SSEDecoder() + for line in iter_lines_raw(groups): + sse = decoder.decode(line=line.rstrip(b"\n")) + if sse is not None: + parts.append(sse) + if sse := decoder.decode(b""): + parts.append(sse) + + assert decoder.decode(b"") is None + assert len(parts) == 79 + + +@pytest.mark.asyncio +async def test_http_client_stream_flushes_trailing_event(): + payload = b'event: foo\ndata: {"bar": 1}\n' + + async def handler(request: httpx.Request) -> httpx.Response: + assert request.headers["accept"] == "text/event-stream" + assert request.headers["cache-control"] == "no-store" + return httpx.Response( + 200, + headers={"Content-Type": "text/event-stream"}, + content=payload, + ) + + transport = httpx.MockTransport(handler) + async with httpx.AsyncClient( + transport=transport, base_url="https://example.com" + ) as client: + http_client = HttpClient(client) + parts = [part async for part in http_client.stream("/stream", "GET")] + + assert parts == [StreamPart(event="foo", data={"bar": 1})] + + +def test_sync_http_client_stream_flushes_trailing_event(): + payload = b'event: foo\ndata: {"bar": 1}\n' + + def handler(request: httpx.Request) -> httpx.Response: + assert request.headers["accept"] == "text/event-stream" + assert request.headers["cache-control"] == "no-store" + return httpx.Response( + 200, + headers={"Content-Type": "text/event-stream"}, + content=payload, + ) + + transport = httpx.MockTransport(handler) + with httpx.Client(transport=transport, base_url="https://example.com") as client: + http_client = SyncHttpClient(client) + parts = list(http_client.stream("/stream", "GET")) + + assert parts == [StreamPart(event="foo", data={"bar": 1})] From 5a36229e38787c594d47513a8f4159d0bc0b57e5 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 16 Sep 2025 16:29:27 +0100 Subject: [PATCH 27/54] sdk-py 0.2.7 --- libs/sdk-py/langgraph_sdk/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/sdk-py/langgraph_sdk/__init__.py b/libs/sdk-py/langgraph_sdk/__init__.py index a0f139b7d..03204f392 100644 --- a/libs/sdk-py/langgraph_sdk/__init__.py +++ b/libs/sdk-py/langgraph_sdk/__init__.py @@ -1,6 +1,6 @@ from langgraph_sdk.auth import Auth from langgraph_sdk.client import get_client, get_sync_client -__version__ = "0.2.6" +__version__ = "0.2.7" __all__ = ["Auth", "get_client", "get_sync_client"] From 2d05a17dfb445698fb1db87c034ab110475bd95b Mon Sep 17 00:00:00 2001 From: Caspar Broekhuizen Date: Tue, 16 Sep 2025 16:42:20 -0700 Subject: [PATCH 28/54] fix(checkpoint): use tolerant float comparison to fix test failing on x86_64 architecture (#6157) ### Description `test_embed_with_path` was failing on x86_64 architecture due to numeric precision differences. `pytest.approx` was already used later on in this test for float comparison, so this PR just updates a missed assertion. Fixes https://github.com/langchain-ai/langgraph/issues/5845 --- libs/checkpoint/tests/test_store.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/checkpoint/tests/test_store.py b/libs/checkpoint/tests/test_store.py index 1bdfc0408..38473e59f 100644 --- a/libs/checkpoint/tests/test_store.py +++ b/libs/checkpoint/tests/test_store.py @@ -950,8 +950,8 @@ async def test_embed_with_path(fake_embeddings: CharacterEmbeddings) -> None: assert results[0].key != results[1].key ascore = results[0].score bscore = results[1].score - assert ascore == bscore assert ascore is not None and bscore is not None + assert ascore == pytest.approx(bscore, abs=1e-5) results = await store.asearch(("test",), query="uuu") assert len(results) == 2 From 328129e5bd01805ed9a2c925df4d02d065e9ac15 Mon Sep 17 00:00:00 2001 From: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Date: Wed, 17 Sep 2025 06:57:47 -0700 Subject: [PATCH 29/54] chore(sdk-py): allow UUIDs in config (#6151) --- libs/langgraph/langgraph/pregel/remote.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/libs/langgraph/langgraph/pregel/remote.py b/libs/langgraph/langgraph/pregel/remote.py index 60529b305..7135a44d7 100644 --- a/libs/langgraph/langgraph/pregel/remote.py +++ b/libs/langgraph/langgraph/pregel/remote.py @@ -8,6 +8,7 @@ from typing import ( Literal, cast, ) +from uuid import UUID import langsmith as ls from langchain_core.runnables import RunnableConfig @@ -78,7 +79,7 @@ _CONF_DROPLIST = frozenset( def _sanitize_config_value(v: Any) -> Any: """Recursively sanitize a config value to ensure it contains only primitives.""" - if isinstance(v, (str, int, float, bool)): + if isinstance(v, (str, int, float, bool, UUID)): return v elif isinstance(v, dict): sanitized_dict = {} From 6f45f1395233be0465b66c8f231e1f600e9e33a4 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 17 Sep 2025 18:21:35 +0100 Subject: [PATCH 30/54] fix: Handle SSE stream reconnection in Python SDK (#6159) ## Summary - add a public accessor for the last received SSE event id - retry async and sync SSE streams using the Location reconnect path and Last-Event-ID while skipping empty events - add regression tests that simulate interrupted SSE streams for both async and sync clients ## Testing - make format - make lint - make test ------ https://chatgpt.com/codex/tasks/task_e_68ca8bfa26cc832d98bcb359884962ec --- libs/sdk-py/langgraph_sdk/client.py | 235 ++++++++++++++++++------ libs/sdk-py/langgraph_sdk/sse.py | 6 + libs/sdk-py/tests/test_client_stream.py | 169 ++++++++++++++++- 3 files changed, 350 insertions(+), 60 deletions(-) diff --git a/libs/sdk-py/langgraph_sdk/client.py b/libs/sdk-py/langgraph_sdk/client.py index 2605d5bef..2d1b5e082 100644 --- a/libs/sdk-py/langgraph_sdk/client.py +++ b/libs/sdk-py/langgraph_sdk/client.py @@ -455,36 +455,94 @@ class HttpClient: if headers: request_headers.update(headers) - async with self.client.stream( - method, path, headers=request_headers, content=content, params=params - ) as res: - if on_response: - on_response(res) - # check status - try: - res.raise_for_status() - except httpx.HTTPStatusError as e: - body = (await res.aread()).decode() - if sys.version_info >= (3, 11): - e.add_note(body) + reconnect_headers = { + key: value + for key, value in request_headers.items() + if key.lower() not in {"content-length", "content-type"} + } + + last_event_id: str | None = None + reconnect_path: str | None = None + reconnect_attempts = 0 + max_reconnect_attempts = 5 + + while True: + current_headers = dict( + request_headers if reconnect_path is None else reconnect_headers + ) + if last_event_id is not None: + current_headers["Last-Event-ID"] = last_event_id + + current_method = method if reconnect_path is None else "GET" + current_content = content if reconnect_path is None else None + current_params = params if reconnect_path is None else None + + retry = False + async with self.client.stream( + current_method, + reconnect_path or path, + headers=current_headers, + content=current_content, + params=current_params, + ) as res: + if reconnect_path is None and on_response: + on_response(res) + # check status + try: + res.raise_for_status() + except httpx.HTTPStatusError as e: + body = (await res.aread()).decode() + if sys.version_info >= (3, 11): + e.add_note(body) + else: + logger.error(f"Error from langgraph-api: {body}", exc_info=e) + raise e + # check content type + content_type = res.headers.get("content-type", "").partition(";")[0] + if "text/event-stream" not in content_type: + raise httpx.TransportError( + "Expected response header Content-Type to contain 'text/event-stream', " + f"got {content_type!r}" + ) + + reconnect_location = res.headers.get("location") + if reconnect_location: + reconnect_path = reconnect_location + + # parse SSE + decoder = SSEDecoder() + try: + async for line in aiter_lines_raw(res): + sse = decoder.decode(line=line.rstrip(b"\n")) + if sse is not None: + if decoder.last_event_id is not None: + last_event_id = decoder.last_event_id + if sse.event or sse.data is not None: + yield sse + except httpx.HTTPError: + # httpx.TransportError inherits from HTTPError, so transient + # disconnects during streaming land here. + if reconnect_path is None: + raise + retry = True else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e - # check content type - content_type = res.headers.get("content-type", "").partition(";")[0] - if "text/event-stream" not in content_type: - raise httpx.TransportError( - "Expected response header Content-Type to contain 'text/event-stream', " - f"got {content_type!r}" - ) - # parse SSE - decoder = SSEDecoder() - async for line in aiter_lines_raw(res): - sse = decoder.decode(line=line.rstrip(b"\n")) - if sse is not None: - yield sse - if sse := decoder.decode(b""): - yield sse + if sse := decoder.decode(b""): + if decoder.last_event_id is not None: + last_event_id = decoder.last_event_id + if sse.event or sse.data is not None: + # decoder.decode(b"") flushes the in-flight event and may + # return an empty placeholder when there is no pending + # message. Skip these no-op events so the stream doesn't + # emit a trailing blank item after reconnects. + yield sse + if retry: + reconnect_attempts += 1 + if reconnect_attempts > max_reconnect_attempts: + raise httpx.TransportError( + "Exceeded maximum SSE reconnection attempts" + ) + continue + break async def _aencode_json(json: Any) -> tuple[dict[str, str], bytes | None]: @@ -3642,41 +3700,100 @@ class SyncHttpClient: on_response: Callable[[httpx.Response], None] | None = None, ) -> Iterator[StreamPart]: """Stream the results of a request using SSE.""" - request_headers, content = _encode_json(json) + if json is not None: + request_headers, content = _encode_json(json) + else: + request_headers, content = {}, None request_headers["Accept"] = "text/event-stream" request_headers["Cache-Control"] = "no-store" if headers: request_headers.update(headers) - with self.client.stream( - method, path, headers=request_headers, content=content, params=params - ) as res: - if on_response: - on_response(res) - # check status - try: - res.raise_for_status() - except httpx.HTTPStatusError as e: - body = (res.read()).decode() - if sys.version_info >= (3, 11): - e.add_note(body) + + reconnect_headers = { + key: value + for key, value in request_headers.items() + if key.lower() not in {"content-length", "content-type"} + } + + last_event_id: str | None = None + reconnect_path: str | None = None + reconnect_attempts = 0 + max_reconnect_attempts = 5 + + while True: + current_headers = dict( + request_headers if reconnect_path is None else reconnect_headers + ) + if last_event_id is not None: + current_headers["Last-Event-ID"] = last_event_id + + current_method = method if reconnect_path is None else "GET" + current_content = content if reconnect_path is None else None + current_params = params if reconnect_path is None else None + + retry = False + with self.client.stream( + current_method, + reconnect_path or path, + headers=current_headers, + content=current_content, + params=current_params, + ) as res: + if reconnect_path is None and on_response: + on_response(res) + # check status + try: + res.raise_for_status() + except httpx.HTTPStatusError as e: + body = (res.read()).decode() + if sys.version_info >= (3, 11): + e.add_note(body) + else: + logger.error(f"Error from langgraph-api: {body}", exc_info=e) + raise e + # check content type + content_type = res.headers.get("content-type", "").partition(";")[0] + if "text/event-stream" not in content_type: + raise httpx.TransportError( + "Expected response header Content-Type to contain 'text/event-stream', " + f"got {content_type!r}" + ) + + reconnect_location = res.headers.get("location") + if reconnect_location: + reconnect_path = reconnect_location + + decoder = SSEDecoder() + try: + for line in iter_lines_raw(res): + sse = decoder.decode(line.rstrip(b"\n")) + if sse is not None: + if decoder.last_event_id is not None: + last_event_id = decoder.last_event_id + if sse.event or sse.data is not None: + yield sse + except httpx.HTTPError: + # httpx.TransportError inherits from HTTPError, so transient + # disconnects during streaming land here. + if reconnect_path is None: + raise + retry = True else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e - # check content type - content_type = res.headers.get("content-type", "").partition(";")[0] - if "text/event-stream" not in content_type: - raise httpx.TransportError( - "Expected response header Content-Type to contain 'text/event-stream', " - f"got {content_type!r}" - ) - # parse SSE - decoder = SSEDecoder() - for line in iter_lines_raw(res): - sse = decoder.decode(line.rstrip(b"\n")) - if sse is not None: - yield sse - if sse := decoder.decode(b""): - yield sse + if sse := decoder.decode(b""): + if decoder.last_event_id is not None: + last_event_id = decoder.last_event_id + if sse.event or sse.data is not None: + # See async stream implementation for rationale on + # skipping empty flush events. + yield sse + if retry: + reconnect_attempts += 1 + if reconnect_attempts > max_reconnect_attempts: + raise httpx.TransportError( + "Exceeded maximum SSE reconnection attempts" + ) + continue + break def _encode_json(json: Any) -> tuple[dict[str, str], bytes]: diff --git a/libs/sdk-py/langgraph_sdk/sse.py b/libs/sdk-py/langgraph_sdk/sse.py index 42484df45..01bb333ac 100644 --- a/libs/sdk-py/langgraph_sdk/sse.py +++ b/libs/sdk-py/langgraph_sdk/sse.py @@ -81,6 +81,12 @@ class SSEDecoder: self._last_event_id = "" self._retry: int | None = None + @property + def last_event_id(self) -> str | None: + """Return the last event identifier that was seen.""" + + return self._last_event_id or None + def decode(self, line: bytes) -> StreamPart | None: # See: https://html.spec.whatwg.org/multipage/server-sent-events.html#event-stream-interpretation # noqa: E501 diff --git a/libs/sdk-py/tests/test_client_stream.py b/libs/sdk-py/tests/test_client_stream.py index 228ecf286..4237f89af 100644 --- a/libs/sdk-py/tests/test_client_stream.py +++ b/libs/sdk-py/tests/test_client_stream.py @@ -1,4 +1,6 @@ -from collections.abc import Iterator +from __future__ import annotations + +from collections.abc import Iterator, Sequence from pathlib import Path import httpx @@ -12,6 +14,35 @@ with open(Path(__file__).parent / "fixtures" / "response.txt", "rb") as f: RESPONSE_PAYLOAD = f.read() +class AsyncListByteStream(httpx.AsyncByteStream): + def __init__(self, chunks: Sequence[bytes], exc: Exception | None = None) -> None: + self._chunks = list(chunks) + self._exc = exc + + async def __aiter__(self): # type: ignore[override] + for chunk in self._chunks: + yield chunk + if self._exc is not None: + raise self._exc + + async def aclose(self) -> None: + return None + + +class ListByteStream(httpx.ByteStream): + def __init__(self, chunks: Sequence[bytes], exc: Exception | None = None) -> None: + self._chunks = list(chunks) + self._exc = exc + + def __iter__(self): # type: ignore[override] + yield from self._chunks + if self._exc is not None: + raise self._exc + + def close(self) -> None: + return None + + def iter_lines_raw(payload: list[bytes]) -> Iterator[BytesLike]: decoder = BytesLineDecoder() for part in payload: @@ -61,6 +92,142 @@ async def test_http_client_stream_flushes_trailing_event(): assert parts == [StreamPart(event="foo", data={"bar": 1})] +def test_sync_http_client_stream_recovers_after_disconnect(): + reconnect_path = "/reconnect" + first_chunks = [ + b"id: 1\n", + b"event: values\n", + b'data: {"step": 1}\n\n', + ] + second_chunks = [ + b"id: 2\n", + b"event: values\n", + b'data: {"step": 2}\n\n', + b"event: end\n", + b"data: null\n\n", + ] + call_count = 0 + + def handler(request: httpx.Request) -> httpx.Response: + nonlocal call_count + call_count += 1 + if call_count == 1: + assert request.method == "POST" + assert request.url.path == "/stream" + assert request.headers["accept"] == "text/event-stream" + assert request.headers["cache-control"] == "no-store" + assert "last-event-id" not in { + k.lower(): v for k, v in request.headers.items() + } + assert request.read() + return httpx.Response( + 200, + headers={ + "Content-Type": "text/event-stream", + "Location": reconnect_path, + }, + stream=ListByteStream( + first_chunks, + httpx.RemoteProtocolError("incomplete chunked read"), + ), + ) + if call_count == 2: + assert request.method == "GET" + assert request.url.path == reconnect_path + assert request.headers["Last-Event-ID"] == "1" + assert request.read() == b"" + return httpx.Response( + 200, + headers={"Content-Type": "text/event-stream"}, + stream=ListByteStream(second_chunks), + ) + raise AssertionError("unexpected request") + + transport = httpx.MockTransport(handler) + with httpx.Client(transport=transport, base_url="https://example.com") as client: + http_client = SyncHttpClient(client) + parts = list(http_client.stream("/stream", "POST", json={"payload": "value"})) + + assert call_count == 2 + assert parts == [ + StreamPart(event="values", data={"step": 1}), + StreamPart(event="values", data={"step": 2}), + StreamPart(event="end", data=None), + ] + + +@pytest.mark.asyncio +async def test_http_client_stream_recovers_after_disconnect(): + reconnect_path = "/reconnect" + first_chunks = [ + b"id: 1\n", + b"event: values\n", + b'data: {"step": 1}\n\n', + ] + second_chunks = [ + b"id: 2\n", + b"event: values\n", + b'data: {"step": 2}\n\n', + b"event: end\n", + b"data: null\n\n", + ] + call_count = 0 + + async def handler(request: httpx.Request) -> httpx.Response: + nonlocal call_count + call_count += 1 + if call_count == 1: + assert request.method == "POST" + assert request.url.path == "/stream" + assert request.headers["accept"] == "text/event-stream" + assert request.headers["cache-control"] == "no-store" + assert "last-event-id" not in { + k.lower(): v for k, v in request.headers.items() + } + assert await request.aread() + return httpx.Response( + 200, + headers={ + "Content-Type": "text/event-stream", + "Location": reconnect_path, + }, + stream=AsyncListByteStream( + first_chunks, + httpx.RemoteProtocolError("incomplete chunked read"), + ), + ) + if call_count == 2: + assert request.method == "GET" + assert request.url.path == reconnect_path + assert request.headers["Last-Event-ID"] == "1" + assert await request.aread() == b"" + return httpx.Response( + 200, + headers={"Content-Type": "text/event-stream"}, + stream=AsyncListByteStream(second_chunks), + ) + raise AssertionError("unexpected request") + + transport = httpx.MockTransport(handler) + async with httpx.AsyncClient( + transport=transport, base_url="https://example.com" + ) as client: + http_client = HttpClient(client) + parts = [ + part + async for part in http_client.stream( + "/stream", "POST", json={"payload": "value"} + ) + ] + + assert call_count == 2 + assert parts == [ + StreamPart(event="values", data={"step": 1}), + StreamPart(event="values", data={"step": 2}), + StreamPart(event="end", data=None), + ] + + def test_sync_http_client_stream_flushes_trailing_event(): payload = b'event: foo\ndata: {"bar": 1}\n' From d0a3eaf601347531ff4b0bfb61df3d5d1e55b7fc Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 17 Sep 2025 18:23:53 +0100 Subject: [PATCH 31/54] sdk-py 0.2.8 --- libs/sdk-py/langgraph_sdk/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/sdk-py/langgraph_sdk/__init__.py b/libs/sdk-py/langgraph_sdk/__init__.py index 03204f392..6bc2c0db3 100644 --- a/libs/sdk-py/langgraph_sdk/__init__.py +++ b/libs/sdk-py/langgraph_sdk/__init__.py @@ -1,6 +1,6 @@ from langgraph_sdk.auth import Auth from langgraph_sdk.client import get_client, get_sync_client -__version__ = "0.2.7" +__version__ = "0.2.8" __all__ = ["Auth", "get_client", "get_sync_client"] From 8dc4465d059c9e7929c116c0423ca490cc887e49 Mon Sep 17 00:00:00 2001 From: jito Date: Thu, 18 Sep 2025 04:35:07 +0900 Subject: [PATCH 32/54] fix(langgraph): reuse cached writes on nested resume to prevent task re-execution (#6161) **Description**: fix #6050. Root cause: In nested graphs, the first tick after resume often included a checkpoint_id, which set skip_done_tasks=False. This skipped matching pending writes and re-executed already-completed helper @task on subsequent resumes. Change: Initialize skip_done_tasks=True when resuming inside a nested graph. Use original config[CONF] for checkpoint_id presence, and self.config[CONF] for resuming (current loop state). Added a concise comment clarifying the different config sources. **Issue**: #6050 **Tests**: Add regression test `test_nested_graph_resume_reuses_cached_task_writes` --------- Signed-off-by: jitokim Co-authored-by: Caspar Broekhuizen --- libs/langgraph/langgraph/pregel/_loop.py | 4 +- libs/langgraph/tests/test_pregel.py | 67 ++++++++++++++++++++++++ 2 files changed, 70 insertions(+), 1 deletion(-) diff --git a/libs/langgraph/langgraph/pregel/_loop.py b/libs/langgraph/langgraph/pregel/_loop.py index 3583b6ff1..023ac5545 100644 --- a/libs/langgraph/langgraph/pregel/_loop.py +++ b/libs/langgraph/langgraph/pregel/_loop.py @@ -242,7 +242,9 @@ class PregelLoop: self.interrupt_before = interrupt_before self.manager = manager self.is_nested = CONFIG_KEY_TASK_ID in self.config.get(CONF, {}) - self.skip_done_tasks = CONFIG_KEY_CHECKPOINT_ID not in config[CONF] + self.skip_done_tasks = CONFIG_KEY_CHECKPOINT_ID not in config[CONF] or ( + CONFIG_KEY_RESUMING in self.config[CONF] and self.is_nested + ) self._migrate_checkpoint = migrate_checkpoint self.trigger_to_nodes = trigger_to_nodes self.retry_policy = retry_policy diff --git a/libs/langgraph/tests/test_pregel.py b/libs/langgraph/tests/test_pregel.py index b9d2b641c..09274782c 100644 --- a/libs/langgraph/tests/test_pregel.py +++ b/libs/langgraph/tests/test_pregel.py @@ -3445,6 +3445,73 @@ def test_stream_buffering_single_node(sync_checkpointer: BaseCheckpointSaver) -> ] +def test_nested_graph_resume_reuses_cached_task_writes( + sync_checkpointer: BaseCheckpointSaver, +) -> None: + # Reproduces issue where a helper @task inside a nested graph re-executes + # on resume instead of reusing cached writes. Ensures it runs only once. + counter_parent = 0 + counter_sub = 0 + + @task + def get_time_parent() -> float: + nonlocal counter_parent + counter_parent += 1 + return time.time() + + @task + def get_time_subgraph() -> float: + nonlocal counter_sub + counter_sub += 1 + return time.time() + + class State(TypedDict): + state_counter: int + + # Subgraph that calls a helper task and then interrupts + sub = StateGraph(State) + + def human_node(_: State): + _ = get_time_subgraph().result() + interrupt("what is your name?") + + sub.add_node("human_node", human_node) + sub.set_entry_point("human_node") + sub.set_finish_point("human_node") + subgraph = sub.compile(checkpointer=sync_checkpointer) + + # Parent graph that calls a helper task and interrupts, then enters subgraph + parent = StateGraph(State) + + def parent_node(_: State): + _ = get_time_parent().result() + interrupt("what is your parent name?") + + parent.add_node("parent_node", parent_node) + parent.add_node("subgraph", subgraph) + parent.add_edge(START, "parent_node") + parent.add_edge("parent_node", "subgraph") + parent.add_edge("subgraph", END) + graph = parent.compile(checkpointer=sync_checkpointer) + + cfg_parent = {"configurable": {"thread_id": str(uuid.uuid4())}} + + # First run – interrupts in parent node + for _ in graph.stream({"state_counter": 1}, cfg_parent): + pass + + # Resume 1 – proceeds into subgraph, interrupts there + for _ in graph.stream(Command(resume="resume-1"), cfg_parent): + pass + + # Resume 2 – completes without re-running subgraph helper task + for _ in graph.stream(Command(resume="resume-2"), cfg_parent): + pass + + assert counter_parent == 1 + assert counter_sub == 1 + + def test_nested_graph_interrupts_parallel( sync_checkpointer: BaseCheckpointSaver, durability: Durability ) -> None: From f0fced262a14620ce853463dd2cb8db76b4041ca Mon Sep 17 00:00:00 2001 From: Caspar Broekhuizen Date: Wed, 17 Sep 2025 17:50:39 -0700 Subject: [PATCH 33/54] fix(langgraph): fix PostgresSaver crashing when loading older checkpoints (#6162) ### Description https://github.com/langchain-ai/langgraph/issues/6137 and https://github.com/langchain-ai/langgraph/issues/5677 reported issues where older checkpoints read by AsyncPostgresSaver/PostgresSaver from `langgraph-checkpoint-postgres==2.0.19` fail to read channel values, throwing `NoneType object is not a mapping`. This was due to a bug in how `channel_values` is assembled: ```python "channel_values": { **value["checkpoint"].get("channel_values"), # <--- if channel_values doesn't exist (old checkpoint), **None errors **self._load_blobs(value["channel_values"]), }, ``` This bug was observed for checkpoints generated by `langgraph-checkpoint-postgres<=2.0.19`. Fixed by providing a fallback to `value["checkpoint"].get("channel_values")`: ```python **value["checkpoint"], "channel_values": { **( value["checkpoint"].get("channel_values") or {} ), # 'or {}' needed for backwards compat with v3 checkpoints and below, as v4 introduced channel_values key **self._load_blobs(value["channel_values"]), }, ``` ### Tests Added test for AsyncPostgresSaver and test for PostgresSaver, using monkeypatch to remove `channel_values` before CheckpointTuple is assembled in `_load_checkpoint_tuple`. ### Solves https://github.com/langchain-ai/langgraph/issues/6137 and https://github.com/langchain-ai/langgraph/issues/5677 --------- Co-authored-by: Shahrukh Shaik <144558473+shahrukh-shaik@users.noreply.github.com> --- .../langgraph/checkpoint/postgres/__init__.py | 2 +- .../langgraph/checkpoint/postgres/aio.py | 2 +- libs/checkpoint-postgres/tests/test_async.py | 31 +++++++++++++++++++ libs/checkpoint-postgres/tests/test_sync.py | 30 ++++++++++++++++++ 4 files changed, 63 insertions(+), 2 deletions(-) diff --git a/libs/checkpoint-postgres/langgraph/checkpoint/postgres/__init__.py b/libs/checkpoint-postgres/langgraph/checkpoint/postgres/__init__.py index 6a0ba0cc1..b689df5d5 100644 --- a/libs/checkpoint-postgres/langgraph/checkpoint/postgres/__init__.py +++ b/libs/checkpoint-postgres/langgraph/checkpoint/postgres/__init__.py @@ -450,7 +450,7 @@ class PostgresSaver(BasePostgresSaver): { **value["checkpoint"], "channel_values": { - **value["checkpoint"].get("channel_values"), + **(value["checkpoint"].get("channel_values") or {}), **self._load_blobs(value["channel_values"]), }, }, diff --git a/libs/checkpoint-postgres/langgraph/checkpoint/postgres/aio.py b/libs/checkpoint-postgres/langgraph/checkpoint/postgres/aio.py index 1d7a9dff4..ed36daa4a 100644 --- a/libs/checkpoint-postgres/langgraph/checkpoint/postgres/aio.py +++ b/libs/checkpoint-postgres/langgraph/checkpoint/postgres/aio.py @@ -409,7 +409,7 @@ class AsyncPostgresSaver(BasePostgresSaver): { **value["checkpoint"], "channel_values": { - **value["checkpoint"].get("channel_values"), + **(value["checkpoint"].get("channel_values") or {}), **self._load_blobs(value["channel_values"]), }, }, diff --git a/libs/checkpoint-postgres/tests/test_async.py b/libs/checkpoint-postgres/tests/test_async.py index cb1d2fa55..cca805901 100644 --- a/libs/checkpoint-postgres/tests/test_async.py +++ b/libs/checkpoint-postgres/tests/test_async.py @@ -344,3 +344,34 @@ async def test_pending_sends_migration(saver_name: str) -> None: TASKS: ["send-1", "send-2", "send-3"] } assert TASKS in search_results[0].checkpoint["channel_versions"] + + +@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe"]) +async def test_get_checkpoint_no_channel_values( + monkeypatch, saver_name: str, test_data +) -> None: + """Backwards compatibility test that verifies a checkpoint with no channel_values key can be retrieved without throwing an error.""" + async with _saver(saver_name) as saver: + config = { + "configurable": { + "thread_id": "thread-2", + "checkpoint_ns": "", + "__super_private_key": "super_private_value", + }, + "metadata": {"run_id": "my_run_id"}, + } + chkpnt: Checkpoint = create_checkpoint(empty_checkpoint(), {}, 1) + await saver.aput(config, chkpnt, {}, {}) + + load_checkpoint_tuple = saver._load_checkpoint_tuple + + def patched_load_checkpoint_tuple(value): + value["checkpoint"].pop("channel_values", None) + return load_checkpoint_tuple(value) + + monkeypatch.setattr( + saver, "_load_checkpoint_tuple", patched_load_checkpoint_tuple + ) + + checkpoint = await saver.aget_tuple(config) + assert checkpoint.checkpoint["channel_values"] == {} diff --git a/libs/checkpoint-postgres/tests/test_sync.py b/libs/checkpoint-postgres/tests/test_sync.py index ef0fabc74..c8564c4e4 100644 --- a/libs/checkpoint-postgres/tests/test_sync.py +++ b/libs/checkpoint-postgres/tests/test_sync.py @@ -332,3 +332,33 @@ def test_pending_sends_migration(saver_name: str) -> None: TASKS: ["send-1", "send-2", "send-3"] } assert TASKS in search_results[0].checkpoint["channel_versions"] + + +@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe"]) +def test_get_checkpoint_no_channel_values( + monkeypatch, saver_name: str, test_data +) -> None: + """Backwards compatibility test that verifies a checkpoint with no channel_values key can be retrieved without throwing an error.""" + with _saver(saver_name) as saver: + config = { + "configurable": { + "thread_id": "thread-2", + "checkpoint_ns": "", + "__super_private_key": "super_private_value", + }, + } + chkpnt: Checkpoint = create_checkpoint(empty_checkpoint(), {}, 1) + saver.put(config, chkpnt, {}, {}) + + load_checkpoint_tuple = saver._load_checkpoint_tuple + + def patched_load_checkpoint_tuple(value): + value["checkpoint"].pop("channel_values", None) + return load_checkpoint_tuple(value) + + monkeypatch.setattr( + saver, "_load_checkpoint_tuple", patched_load_checkpoint_tuple + ) + + checkpoint = saver.get_tuple(config) + assert checkpoint.checkpoint["channel_values"] == {} From eeb731c07ea0498dda138861864929199c86a033 Mon Sep 17 00:00:00 2001 From: Sangamesh Kulkarni <59434228+Sangamesh26@users.noreply.github.com> Date: Sat, 20 Sep 2025 05:23:30 +0530 Subject: [PATCH 34/54] test: Add tests for before and limit parameters for list SqliteSaver (#5816) **Description:** Add test for before and limit parameters for the list in SqliteSaver which was marked as TODO. --------- Co-authored-by: Caspar Broekhuizen --- libs/checkpoint-sqlite/tests/test_sqlite.py | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/libs/checkpoint-sqlite/tests/test_sqlite.py b/libs/checkpoint-sqlite/tests/test_sqlite.py index f242f54f5..062bde23c 100644 --- a/libs/checkpoint-sqlite/tests/test_sqlite.py +++ b/libs/checkpoint-sqlite/tests/test_sqlite.py @@ -116,7 +116,17 @@ class TestSqliteSaver: search_results_5[1].config["configurable"]["checkpoint_ns"], } == {"", "inner"} - # TODO: test before and limit params + # search with before param + search_results_6 = list(saver.list(None, before=search_results_5[1].config)) + assert len(search_results_6) == 1 + assert search_results_6[0].config["configurable"]["thread_id"] == "thread-1" + + # search with limit param + search_results_7 = list( + saver.list({"configurable": {"thread_id": "thread-2"}}, limit=1) + ) + assert len(search_results_7) == 1 + assert search_results_7[0].config["configurable"]["thread_id"] == "thread-2" def test_search_where(self) -> None: # call method / assertions From 11834512db7bbac0aec79ddae3a3a75b3b68112a Mon Sep 17 00:00:00 2001 From: Caspar Broekhuizen Date: Fri, 19 Sep 2025 17:17:05 -0700 Subject: [PATCH 35/54] test(cli): add tests for util.py (#6172) ### Description Added unit tests for util.py. Authored by @oumizx. Had to copy #6113 into this separate PR because langgraph/libs/cli was having issues with secrets. --- libs/cli/tests/unit_tests/test_util.py | 153 +++++++++++++++++++++++++ 1 file changed, 153 insertions(+) create mode 100644 libs/cli/tests/unit_tests/test_util.py diff --git a/libs/cli/tests/unit_tests/test_util.py b/libs/cli/tests/unit_tests/test_util.py new file mode 100644 index 000000000..c26e776e9 --- /dev/null +++ b/libs/cli/tests/unit_tests/test_util.py @@ -0,0 +1,153 @@ +from unittest.mock import patch + +from langgraph_cli.util import clean_empty_lines, warn_non_wolfi_distro + + +def test_clean_empty_lines(): + """Test clean_empty_lines function.""" + # Test with empty lines + input_str = "line1\n\nline2\n\nline3" + result = clean_empty_lines(input_str) + assert result == "line1\nline2\nline3" + + # Test with no empty lines + input_str = "line1\nline2\nline3" + result = clean_empty_lines(input_str) + assert result == "line1\nline2\nline3" + + # Test with only empty lines + input_str = "\n\n\n" + result = clean_empty_lines(input_str) + assert result == "" + + # Test empty string + input_str = "" + result = clean_empty_lines(input_str) + assert result == "" + + +def test_warn_non_wolfi_distro_with_debian(capsys): + """Test that warning is shown when image_distro is 'debian'.""" + config = {"image_distro": "debian"} + + warn_non_wolfi_distro(config) + + captured = capsys.readouterr() + assert "⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security." in captured.out + assert "Wolfi is a security-oriented, minimal Linux distribution designed for containers." in captured.out + assert 'To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.' in captured.out + + +def test_warn_non_wolfi_distro_with_default_debian(capsys): + """Test that warning is shown when image_distro is missing (defaults to debian).""" + config = {} # No image_distro key, should default to debian + + warn_non_wolfi_distro(config) + + captured = capsys.readouterr() + assert "⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security." in captured.out + assert "Wolfi is a security-oriented, minimal Linux distribution designed for containers." in captured.out + assert 'To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.' in captured.out + + +def test_warn_non_wolfi_distro_with_wolfi(capsys): + """Test that no warning is shown when image_distro is 'wolfi'.""" + config = {"image_distro": "wolfi"} + + warn_non_wolfi_distro(config) + + captured = capsys.readouterr() + assert captured.out == "" # No output should be generated + + +def test_warn_non_wolfi_distro_with_other_distro(capsys): + """Test that warning is shown when image_distro is something other than 'wolfi'.""" + config = {"image_distro": "ubuntu"} + + warn_non_wolfi_distro(config) + + captured = capsys.readouterr() + assert "⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security." in captured.out + assert "Wolfi is a security-oriented, minimal Linux distribution designed for containers." in captured.out + assert 'To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.' in captured.out + + +def test_warn_non_wolfi_distro_output_formatting(): + """Test that the warning output is properly formatted with colors and empty line.""" + config = {"image_distro": "debian"} + + with patch('click.secho') as mock_secho: + warn_non_wolfi_distro(config) + + # Verify click.secho was called with the correct parameters + expected_calls = [ + ( + ("⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security.",), + {"fg": "yellow", "bold": True} + ), + ( + (" Wolfi is a security-oriented, minimal Linux distribution designed for containers.",), + {"fg": "yellow"} + ), + ( + (' To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.',), + {"fg": "yellow"} + ), + ( + ("",), # Empty line + {} + ) + ] + + assert mock_secho.call_count == 4 + for i, (expected_args, expected_kwargs) in enumerate(expected_calls): + actual_call = mock_secho.call_args_list[i] + assert actual_call.args == expected_args + assert actual_call.kwargs == expected_kwargs + + +def test_warn_non_wolfi_distro_various_configs(capsys): + """Test warn_non_wolfi_distro with various config scenarios.""" + test_cases = [ + # (config, should_warn, description) + ({"image_distro": "debian"}, True, "explicit debian"), + ({"image_distro": "wolfi"}, False, "explicit wolfi"), + ({}, True, "missing image_distro (defaults to debian)"), + ({"image_distro": "alpine"}, True, "other distro"), + ({"image_distro": "ubuntu"}, True, "ubuntu distro"), + ({"other_config": "value"}, True, "unrelated config keys"), + ] + + for config, should_warn, description in test_cases: + # Clear any previous output + capsys.readouterr() + + warn_non_wolfi_distro(config) + + captured = capsys.readouterr() + if should_warn: + assert "⚠️ Security Recommendation" in captured.out, f"Should warn for {description}" + assert "Wolfi" in captured.out, f"Should mention Wolfi for {description}" + else: + assert captured.out == "", f"Should not warn for {description}" + + +def test_warn_non_wolfi_distro_return_value(): + """Test that warn_non_wolfi_distro returns None.""" + config = {"image_distro": "debian"} + result = warn_non_wolfi_distro(config) + assert result is None + + config = {"image_distro": "wolfi"} + result = warn_non_wolfi_distro(config) + assert result is None + + +def test_warn_non_wolfi_distro_does_not_modify_config(): + """Test that warn_non_wolfi_distro does not modify the input config.""" + original_config = {"image_distro": "debian", "other_key": "value"} + config_copy = original_config.copy() + + warn_non_wolfi_distro(config_copy) + + assert config_copy == original_config # Config should remain unchanged \ No newline at end of file From 5ba02d5b46b6c2e2335188d8a39843bdf8e6a1b2 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Sat, 20 Sep 2025 19:44:07 +0100 Subject: [PATCH 36/54] feat: sdk-py: Reconnect to long-lived responses on wait/join/cancel endpoints (#6168) - When connection is dropped while waiting, reconnect up to 5 times if a Location header is present --- libs/sdk-py/langgraph_sdk/auth/__init__.py | 2 +- libs/sdk-py/langgraph_sdk/client.py | 154 +++++++++++++++++++-- 2 files changed, 141 insertions(+), 15 deletions(-) diff --git a/libs/sdk-py/langgraph_sdk/auth/__init__.py b/libs/sdk-py/langgraph_sdk/auth/__init__.py index f54f56706..54a0df989 100644 --- a/libs/sdk-py/langgraph_sdk/auth/__init__.py +++ b/libs/sdk-py/langgraph_sdk/auth/__init__.py @@ -728,7 +728,7 @@ def is_studio_user( return ( isinstance(user, types.StudioUser) or isinstance(user, dict) - and user.get("kind") == "StudioUser" + and user.get("kind") == "StudioUser" # ty: ignore[invalid-argument-type] ) diff --git a/libs/sdk-py/langgraph_sdk/client.py b/libs/sdk-py/langgraph_sdk/client.py index 2d1b5e082..6b8bafa55 100644 --- a/libs/sdk-py/langgraph_sdk/client.py +++ b/libs/sdk-py/langgraph_sdk/client.py @@ -437,6 +437,54 @@ class HttpClient: logger.error(f"Error from langgraph-api: {body}", exc_info=e) raise e + async def request_reconnect( + self, + path: str, + method: str, + *, + json: dict[str, Any] | None = None, + params: QueryParamTypes | None = None, + headers: Mapping[str, str] | None = None, + on_response: Callable[[httpx.Response], None] | None = None, + reconnect_limit: int = 5, + ) -> Any: + """Send a request that automatically reconnects to Location header.""" + request_headers, content = await _aencode_json(json) + if headers: + request_headers.update(headers) + async with self.client.stream( + method, path, headers=request_headers, content=content, params=params + ) as r: + if on_response: + on_response(r) + try: + r.raise_for_status() + except httpx.HTTPStatusError as e: + body = (await r.aread()).decode() + if sys.version_info >= (3, 11): + e.add_note(body) + else: + logger.error(f"Error from langgraph-api: {body}", exc_info=e) + raise e + loc = r.headers.get("location") + if reconnect_limit <= 0 or not loc: + return await _adecode_json(r) + try: + return await _adecode_json(r) + except httpx.HTTPError: + warnings.warn( + f"Request failed, attempting reconnect to Location: {loc}", + stacklevel=2, + ) + await r.aclose() + return await self.request_reconnect( + loc, + "GET", + headers=request_headers, + # don't pass on_response so it's only called once + reconnect_limit=reconnect_limit - 1, + ) + async def stream( self, path: str, @@ -2533,8 +2581,9 @@ class RunsClient: if on_run_created and (metadata := _get_run_metadata_from_response(res)): on_run_created(metadata) - response = await self.http.post( + response = await self.http.request_reconnect( endpoint, + "POST", json={k: v for k, v in payload.items() if v is not None}, params=params, headers=headers, @@ -2679,12 +2728,20 @@ class RunsClient: } if params: query_params.update(params) - return await self.http.post( - f"/threads/{thread_id}/runs/{run_id}/cancel", - json=None, - params=query_params, - headers=headers, - ) + if wait: + return await self.http.request_reconnect( + f"/threads/{thread_id}/runs/{run_id}/cancel", + "POST", + params=query_params, + headers=headers, + ) + else: + return await self.http.post( + f"/threads/{thread_id}/runs/{run_id}/cancel", + json=None, + params=query_params, + headers=headers, + ) async def join( self, @@ -2716,8 +2773,11 @@ class RunsClient: ``` """ # noqa: E501 - return await self.http.get( - f"/threads/{thread_id}/runs/{run_id}/join", headers=headers, params=params + return await self.http.request_reconnect( + f"/threads/{thread_id}/runs/{run_id}/join", + "GET", + headers=headers, + params=params, ) def join_stream( @@ -3689,6 +3749,54 @@ class SyncHttpClient: logger.error(f"Error from langgraph-api: {body}", exc_info=e) raise e + def request_reconnect( + self, + path: str, + method: str, + *, + json: dict[str, Any] | None = None, + params: QueryParamTypes | None = None, + headers: Mapping[str, str] | None = None, + on_response: Callable[[httpx.Response], None] | None = None, + reconnect_limit: int = 5, + ) -> Any: + """Send a request that automatically reconnects to Location header.""" + request_headers, content = _encode_json(json) + if headers: + request_headers.update(headers) + with self.client.stream( + method, path, headers=request_headers, content=content, params=params + ) as r: + if on_response: + on_response(r) + try: + r.raise_for_status() + except httpx.HTTPStatusError as e: + body = r.read().decode() + if sys.version_info >= (3, 11): + e.add_note(body) + else: + logger.error(f"Error from langgraph-api: {body}", exc_info=e) + raise e + loc = r.headers.get("location") + if reconnect_limit <= 0 or not loc: + return _decode_json(r) + try: + return _decode_json(r) + except httpx.HTTPError: + warnings.warn( + f"Request failed, attempting reconnect to Location: {loc}", + stacklevel=2, + ) + r.close() + return self.request_reconnect( + loc, + "GET", + headers=request_headers, + # don't pass on_response so it's only called once + reconnect_limit=reconnect_limit - 1, + ) + def stream( self, path: str, @@ -5754,8 +5862,9 @@ class SyncRunsClient: endpoint = ( f"/threads/{thread_id}/runs/wait" if thread_id is not None else "/runs/wait" ) - return self.http.post( + return self.http.request_reconnect( endpoint, + "POST", json={k: v for k, v in payload.items() if v is not None}, params=params, headers=headers, @@ -5878,11 +5987,25 @@ class SyncRunsClient: ``` """ # noqa: E501 + query_params = { + "wait": 1 if wait else 0, + "action": action, + } + if params: + query_params.update(params) + if wait: + return self.http.request_reconnect( + f"/threads/{thread_id}/runs/{run_id}/cancel", + "POST", + json=None, + params=query_params, + headers=headers, + ) return self.http.post( - f"/threads/{thread_id}/runs/{run_id}/cancel?wait={1 if wait else 0}&action={action}", + f"/threads/{thread_id}/runs/{run_id}/cancel", json=None, + params=query_params, headers=headers, - params=params, ) def join( @@ -5915,8 +6038,11 @@ class SyncRunsClient: ``` """ # noqa: E501 - return self.http.get( - f"/threads/{thread_id}/runs/{run_id}/join", headers=headers, params=params + return self.http.request_reconnect( + f"/threads/{thread_id}/runs/{run_id}/join", + "GET", + headers=headers, + params=params, ) def join_stream( From 7cd9a8e5dd300c26d2052830deecc3e579841010 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Sat, 20 Sep 2025 19:47:04 +0100 Subject: [PATCH 37/54] sdk-py 0.2.9 --- libs/sdk-py/langgraph_sdk/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/sdk-py/langgraph_sdk/__init__.py b/libs/sdk-py/langgraph_sdk/__init__.py index 6bc2c0db3..1e79b00bb 100644 --- a/libs/sdk-py/langgraph_sdk/__init__.py +++ b/libs/sdk-py/langgraph_sdk/__init__.py @@ -1,6 +1,6 @@ from langgraph_sdk.auth import Auth from langgraph_sdk.client import get_client, get_sync_client -__version__ = "0.2.8" +__version__ = "0.2.9" __all__ = ["Auth", "get_client", "get_sync_client"] From fe4029b3b82dfa5e06d871e300aa522db5a58f96 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 22 Sep 2025 10:21:40 -0400 Subject: [PATCH 38/54] chore(deps): upgrade dependencies with `uv lock --upgrade` (#6176) This PR updates the dependencies in all Python packages using `uv lock --upgrade`. This is an automated PR created by the UV Lock Upgrade workflow. 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Rule" Date: Mon, 22 Sep 2025 11:17:24 -0400 Subject: [PATCH 39/54] feat(cli): add configuration for server customization ordering (#6179) This adds a configuration option in `HttpConfig` that allows LangGraph Platform users to apply custom authentication hooks before (other) custom middleware. Currently, the order is fixed (custom middleware is always evaluated before custom auth). (Apologies for the noise in [de187a9](https://github.com/langchain-ai/langgraph/pull/6179/commits/de187a989e807c5687c22db1fc065d24030fa6b7), apparently from the forced application of new linter rules.) --- libs/cli/langgraph_cli/config.py | 12 +++ libs/cli/schemas/schema.json | 14 +++ libs/cli/schemas/schema.v0.json | 14 +++ libs/cli/tests/unit_tests/test_util.py | 115 ++++++++++++++++--------- 4 files changed, 115 insertions(+), 40 deletions(-) diff --git a/libs/cli/langgraph_cli/config.py b/libs/cli/langgraph_cli/config.py index 87d4d5c72..9b6986eca 100644 --- a/libs/cli/langgraph_cli/config.py +++ b/libs/cli/langgraph_cli/config.py @@ -18,6 +18,7 @@ DEFAULT_IMAGE_DISTRO = "debian" Distros = Literal["debian", "wolfi", "bullseye", "bookworm"] +MiddlewareOrders = Literal["auth_first", "middleware_first"] class TTLConfig(TypedDict, total=False): @@ -359,6 +360,17 @@ class HttpConfig(TypedDict, total=False): agent's behavior or permissions on a request's headers.""" logging_headers: Optional[ConfigurableHeaderConfig] """Optional. Defines which headers are excluded from logging.""" + middleware_order: Optional[MiddlewareOrders] + """Optional. Defines the order in which to apply server customizations. + + Choices: + - "auth_first": Authentication hooks (custom or default) are evaluated + before custom middleware. + - "middleware_first": Custom middleware is evaluated + before authentication hooks (custom or default). + + Default is `middleware_first`. + """ class Config(TypedDict, total=False): diff --git a/libs/cli/schemas/schema.json b/libs/cli/schemas/schema.json index 21dd34a39..03fe74ee8 100644 --- a/libs/cli/schemas/schema.json +++ b/libs/cli/schemas/schema.json @@ -587,6 +587,20 @@ } ], "description": "Optional. Defines which headers are excluded from logging." + }, + "middleware_order": { + "anyOf": [ + { + "enum": [ + "auth_first", + "middleware_first" + ] + }, + { + "type": "null" + } + ], + "description": "Optional. Defines the order in which to apply server customizations.\n" } }, "required": [] diff --git a/libs/cli/schemas/schema.v0.json b/libs/cli/schemas/schema.v0.json index 21dd34a39..03fe74ee8 100644 --- a/libs/cli/schemas/schema.v0.json +++ b/libs/cli/schemas/schema.v0.json @@ -587,6 +587,20 @@ } ], "description": "Optional. Defines which headers are excluded from logging." + }, + "middleware_order": { + "anyOf": [ + { + "enum": [ + "auth_first", + "middleware_first" + ] + }, + { + "type": "null" + } + ], + "description": "Optional. Defines the order in which to apply server customizations.\n" } }, "required": [] diff --git a/libs/cli/tests/unit_tests/test_util.py b/libs/cli/tests/unit_tests/test_util.py index c26e776e9..f4b439959 100644 --- a/libs/cli/tests/unit_tests/test_util.py +++ b/libs/cli/tests/unit_tests/test_util.py @@ -9,17 +9,17 @@ def test_clean_empty_lines(): input_str = "line1\n\nline2\n\nline3" result = clean_empty_lines(input_str) assert result == "line1\nline2\nline3" - + # Test with no empty lines input_str = "line1\nline2\nline3" result = clean_empty_lines(input_str) assert result == "line1\nline2\nline3" - + # Test with only empty lines input_str = "\n\n\n" result = clean_empty_lines(input_str) assert result == "" - + # Test empty string input_str = "" result = clean_empty_lines(input_str) @@ -29,33 +29,51 @@ def test_clean_empty_lines(): def test_warn_non_wolfi_distro_with_debian(capsys): """Test that warning is shown when image_distro is 'debian'.""" config = {"image_distro": "debian"} - + warn_non_wolfi_distro(config) - + captured = capsys.readouterr() - assert "⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security." in captured.out - assert "Wolfi is a security-oriented, minimal Linux distribution designed for containers." in captured.out - assert 'To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.' in captured.out + assert ( + "⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security." + in captured.out + ) + assert ( + "Wolfi is a security-oriented, minimal Linux distribution designed for containers." + in captured.out + ) + assert ( + 'To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.' + in captured.out + ) def test_warn_non_wolfi_distro_with_default_debian(capsys): """Test that warning is shown when image_distro is missing (defaults to debian).""" config = {} # No image_distro key, should default to debian - + warn_non_wolfi_distro(config) - + captured = capsys.readouterr() - assert "⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security." in captured.out - assert "Wolfi is a security-oriented, minimal Linux distribution designed for containers." in captured.out - assert 'To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.' in captured.out + assert ( + "⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security." + in captured.out + ) + assert ( + "Wolfi is a security-oriented, minimal Linux distribution designed for containers." + in captured.out + ) + assert ( + 'To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.' + in captured.out + ) def test_warn_non_wolfi_distro_with_wolfi(capsys): """Test that no warning is shown when image_distro is 'wolfi'.""" config = {"image_distro": "wolfi"} - + warn_non_wolfi_distro(config) - + captured = capsys.readouterr() assert captured.out == "" # No output should be generated @@ -63,42 +81,57 @@ def test_warn_non_wolfi_distro_with_wolfi(capsys): def test_warn_non_wolfi_distro_with_other_distro(capsys): """Test that warning is shown when image_distro is something other than 'wolfi'.""" config = {"image_distro": "ubuntu"} - + warn_non_wolfi_distro(config) - + captured = capsys.readouterr() - assert "⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security." in captured.out - assert "Wolfi is a security-oriented, minimal Linux distribution designed for containers." in captured.out - assert 'To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.' in captured.out + assert ( + "⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security." + in captured.out + ) + assert ( + "Wolfi is a security-oriented, minimal Linux distribution designed for containers." + in captured.out + ) + assert ( + 'To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.' + in captured.out + ) def test_warn_non_wolfi_distro_output_formatting(): """Test that the warning output is properly formatted with colors and empty line.""" config = {"image_distro": "debian"} - - with patch('click.secho') as mock_secho: + + with patch("click.secho") as mock_secho: warn_non_wolfi_distro(config) - + # Verify click.secho was called with the correct parameters expected_calls = [ ( - ("⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security.",), - {"fg": "yellow", "bold": True} + ( + "⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security.", + ), + {"fg": "yellow", "bold": True}, ), ( - (" Wolfi is a security-oriented, minimal Linux distribution designed for containers.",), - {"fg": "yellow"} + ( + " Wolfi is a security-oriented, minimal Linux distribution designed for containers.", + ), + {"fg": "yellow"}, ), ( - (' To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.',), - {"fg": "yellow"} + ( + ' To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.', + ), + {"fg": "yellow"}, ), ( ("",), # Empty line - {} - ) + {}, + ), ] - + assert mock_secho.call_count == 4 for i, (expected_args, expected_kwargs) in enumerate(expected_calls): actual_call = mock_secho.call_args_list[i] @@ -117,16 +150,18 @@ def test_warn_non_wolfi_distro_various_configs(capsys): ({"image_distro": "ubuntu"}, True, "ubuntu distro"), ({"other_config": "value"}, True, "unrelated config keys"), ] - + for config, should_warn, description in test_cases: # Clear any previous output capsys.readouterr() - + warn_non_wolfi_distro(config) - + captured = capsys.readouterr() if should_warn: - assert "⚠️ Security Recommendation" in captured.out, f"Should warn for {description}" + assert "⚠️ Security Recommendation" in captured.out, ( + f"Should warn for {description}" + ) assert "Wolfi" in captured.out, f"Should mention Wolfi for {description}" else: assert captured.out == "", f"Should not warn for {description}" @@ -137,7 +172,7 @@ def test_warn_non_wolfi_distro_return_value(): config = {"image_distro": "debian"} result = warn_non_wolfi_distro(config) assert result is None - + config = {"image_distro": "wolfi"} result = warn_non_wolfi_distro(config) assert result is None @@ -147,7 +182,7 @@ def test_warn_non_wolfi_distro_does_not_modify_config(): """Test that warn_non_wolfi_distro does not modify the input config.""" original_config = {"image_distro": "debian", "other_key": "value"} config_copy = original_config.copy() - + warn_non_wolfi_distro(config_copy) - - assert config_copy == original_config # Config should remain unchanged \ No newline at end of file + + assert config_copy == original_config # Config should remain unchanged From 9f969f5fe1c9189e1ea36cc79b8f4b7448b38819 Mon Sep 17 00:00:00 2001 From: shaktiman101 <42404233+shaktiman101@users.noreply.github.com> Date: Tue, 23 Sep 2025 22:55:06 +0530 Subject: [PATCH 40/54] fix(checkpoint-sqlite): Handle TTL refresh correctly in AsyncSqliteStore.asearch (#5213) The original implementation for `refresh_on_read=True` in `asearch` for AsyncSqliteStore used a CTE with an UPDATE statement, which is not well-supported by SQLite in that specific construction, leading to a syntax error. This commit changes the approach: 1. `_prepare_batch_search_queries` in `BaseSqliteStore` no longer constructs a CTE-based UPDATE. Instead, it returns a flag indicating if TTL refresh is needed for the searched items. 2. `_batch_search_ops` in both `AsyncSqliteStore` and `SqliteStore` now check this flag. If true, they perform a separate UPDATE statement after fetching the search results to refresh the TTL of those items. Additionally, a new test case `test_async_asearch_refresh_ttl` was added and existing test logic was refined to accurately verify this behavior. --------- Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com> Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com> Co-authored-by: Caspar Broekhuizen --- .../langgraph/store/sqlite/aio.py | 69 +++++++++++---- .../langgraph/store/sqlite/base.py | 86 ++++++++++++------- libs/checkpoint-sqlite/tests/test_ttl.py | 64 ++++++++++++++ 3 files changed, 173 insertions(+), 46 deletions(-) diff --git a/libs/checkpoint-sqlite/langgraph/store/sqlite/aio.py b/libs/checkpoint-sqlite/langgraph/store/sqlite/aio.py index 8fa86f1fc..c850a04c9 100644 --- a/libs/checkpoint-sqlite/langgraph/store/sqlite/aio.py +++ b/libs/checkpoint-sqlite/langgraph/store/sqlite/aio.py @@ -507,7 +507,9 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore): results: List to store results in. cur: Database cursor. """ - queries, embedding_requests = self._prepare_batch_search_queries(search_ops) + prepared_queries, embedding_requests = self._prepare_batch_search_queries( + search_ops + ) # Setup dot_product function if it doesn't exist if embedding_requests and self.embeddings: @@ -515,23 +517,60 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore): [query for _, query in embedding_requests] ) - for (idx, _), embedding in zip(embedding_requests, vectors): - _params_list: list = queries[idx][1] - for i, param in enumerate(_params_list): - if param is _PLACEHOLDER: - _params_list[i] = sqlite_vec.serialize_float32(embedding) + for (embed_req_idx, _), embedding in zip(embedding_requests, vectors): + # Find the corresponding query in prepared_queries + # The embed_req_idx is the original index in search_ops, which should map to prepared_queries + if embed_req_idx < len(prepared_queries): + _params_list: list = prepared_queries[embed_req_idx][1] + for i, param in enumerate(_params_list): + if param is _PLACEHOLDER: + _params_list[i] = sqlite_vec.serialize_float32(embedding) + else: + logger.warning( + f"Embedding request index {embed_req_idx} out of bounds for prepared_queries." + ) - for (idx, _), (query, params) in zip(search_ops, queries): + for (original_op_idx, _), (query, params, needs_refresh) in zip( + search_ops, prepared_queries + ): await cur.execute(query, params) rows = await cur.fetchall() - if "score" in query: + if needs_refresh and rows and self.ttl_config: + keys_to_refresh = [] + for row_data in rows: + # Assuming row_data[0] is prefix (text), row_data[1] is key (text) + # These are raw text values directly from the DB. + keys_to_refresh.append((row_data[0], row_data[1])) + + if keys_to_refresh: + updates_by_prefix = defaultdict(list) + for prefix_text, key_text in keys_to_refresh: + updates_by_prefix[prefix_text].append(key_text) + + for prefix_text, key_list in updates_by_prefix.items(): + placeholders = ",".join(["?"] * len(key_list)) + update_query = f""" + UPDATE store + SET expires_at = DATETIME(CURRENT_TIMESTAMP, '+' || ttl_minutes || ' minutes') + WHERE prefix = ? AND key IN ({placeholders}) AND ttl_minutes IS NOT NULL + """ + update_params = (prefix_text, *key_list) + try: + await cur.execute(update_query, update_params) + except Exception as e: + logger.error( + f"Error during TTL refresh update for search: {e}" + ) + + # Process rows into items + if "score" in query: # Vector search query items = [ _row_to_search_item( - _decode_ns_text(row[0]), + _decode_ns_text(row[0]), # prefix { - "key": row[1], - "value": row[2], + "key": row[1], # key + "value": row[2], # value "created_at": row[3], "updated_at": row[4], "expires_at": row[5] if len(row) > 5 else None, @@ -545,10 +584,10 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore): else: # Regular search query items = [ _row_to_search_item( - _decode_ns_text(row[0]), + _decode_ns_text(row[0]), # prefix { - "key": row[1], - "value": row[2], + "key": row[1], # key + "value": row[2], # value "created_at": row[3], "updated_at": row[4], "expires_at": row[5] if len(row) > 5 else None, @@ -559,7 +598,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore): for row in rows ] - results[idx] = items + results[original_op_idx] = items async def _batch_list_namespaces_ops( self, diff --git a/libs/checkpoint-sqlite/langgraph/store/sqlite/base.py b/libs/checkpoint-sqlite/langgraph/store/sqlite/base.py index 947ceccdc..60f56652a 100644 --- a/libs/checkpoint-sqlite/langgraph/store/sqlite/base.py +++ b/libs/checkpoint-sqlite/langgraph/store/sqlite/base.py @@ -371,13 +371,15 @@ class BaseSqliteStore: def _prepare_batch_search_queries( self, search_ops: Sequence[tuple[int, SearchOp]] ) -> tuple[ - list[tuple[str, list[None | str | list[float]]]], # queries, params + list[ + tuple[str, list[None | str | list[float]], bool] + ], # queries, params, needs_refresh list[tuple[int, str]], # idx, query_text pairs to embed ]: """ - Build per-SearchOp SQL queries (with optional TTL refresh) plus embedding requests. + Build per-SearchOp SQL queries (with optional TTL refresh flag) plus embedding requests. Returns: - - queries: list of (SQL, param_list) + - queries: list of (SQL, param_list, needs_ttl_refresh_flag) - embedding_requests: list of (original_index_in_search_ops, text_query) """ queries = [] @@ -518,30 +520,18 @@ class BaseSqliteStore: logger.debug(f"Search query: {base_query}") logger.debug(f"Search params: {params}") - # Handle TTL refresh if requested - if ( + # Determine if TTL refresh is needed + needs_ttl_refresh = bool( op.refresh_ttl and self.ttl_config and self.ttl_config.get("refresh_on_read", False) - ): - final_sql = f""" - WITH search_results AS ( - {base_query} - ), - updated AS ( - UPDATE store - SET expires_at = DATETIME(CURRENT_TIMESTAMP, '+' || ttl_minutes || ' minutes') - WHERE (prefix, key) IN (SELECT prefix, key FROM search_results) - AND ttl_minutes IS NOT NULL - ) - SELECT * FROM search_results - """ - final_params = params[:] # copy params - else: - final_sql = base_query - final_params = params + ) - queries.append((final_sql, final_params)) + # The base_query is now the final_sql, and we pass the refresh flag + final_sql = base_query + final_params = params + + queries.append((final_sql, final_params, needs_ttl_refresh)) return queries, embedding_requests @@ -1330,7 +1320,9 @@ class SqliteStore(BaseSqliteStore, BaseStore): results: list[Result], cur: sqlite3.Cursor, ) -> None: - queries, embedding_requests = self._prepare_batch_search_queries(search_ops) + prepared_queries, embedding_requests = self._prepare_batch_search_queries( + search_ops + ) # Setup similarity functions if they don't exist if embedding_requests and self.embeddings: @@ -1340,16 +1332,48 @@ class SqliteStore(BaseSqliteStore, BaseStore): ) # Replace placeholders with actual embeddings - for (idx, _), embedding in zip(embedding_requests, embeddings): - _params_list: list = queries[idx][1] - for i, param in enumerate(_params_list): - if param is _PLACEHOLDER: - _params_list[i] = sqlite_vec.serialize_float32(embedding) + for (embed_req_idx, _), embedding in zip(embedding_requests, embeddings): + if embed_req_idx < len(prepared_queries): + _params_list: list = prepared_queries[embed_req_idx][1] + for i, param in enumerate(_params_list): + if param is _PLACEHOLDER: + _params_list[i] = sqlite_vec.serialize_float32(embedding) + else: + logger.warning( + f"Embedding request index {embed_req_idx} out of bounds for prepared_queries." + ) - for (idx, _), (query, params) in zip(search_ops, queries): + for (original_op_idx, _), (query, params, needs_refresh) in zip( + search_ops, prepared_queries + ): cur.execute(query, params) rows = cur.fetchall() + if needs_refresh and rows and self.ttl_config: + keys_to_refresh = [] + for row_data in rows: + keys_to_refresh.append((row_data[0], row_data[1])) + + if keys_to_refresh: + updates_by_prefix = defaultdict(list) + for prefix_text, key_text in keys_to_refresh: + updates_by_prefix[prefix_text].append(key_text) + + for prefix_text, key_list in updates_by_prefix.items(): + placeholders = ",".join(["?"] * len(key_list)) + update_query = f""" + UPDATE store + SET expires_at = DATETIME(CURRENT_TIMESTAMP, '+' || ttl_minutes || ' minutes') + WHERE prefix = ? AND key IN ({placeholders}) AND ttl_minutes IS NOT NULL + """ + update_params = (prefix_text, *key_list) + try: + cur.execute(update_query, update_params) + except Exception as e: + logger.error( + f"Error during TTL refresh update for search: {e}" + ) + if "score" in query: # Vector search query items = [ _row_to_search_item( @@ -1384,7 +1408,7 @@ class SqliteStore(BaseSqliteStore, BaseStore): for row in rows ] - results[idx] = items + results[original_op_idx] = items def _batch_list_namespaces_ops( self, diff --git a/libs/checkpoint-sqlite/tests/test_ttl.py b/libs/checkpoint-sqlite/tests/test_ttl.py index e5cfe88ac..28d43a790 100644 --- a/libs/checkpoint-sqlite/tests/test_ttl.py +++ b/libs/checkpoint-sqlite/tests/test_ttl.py @@ -363,3 +363,67 @@ async def test_async_search_with_ttl(temp_db_file: str) -> None: # Search after expiration results = await store.asearch(("test",), filter={"value": "apple"}) assert len(results) == 0 + + +@pytest.mark.asyncio +@pytest.mark.flaky(retries=3) +async def test_async_asearch_refresh_ttl(temp_db_file: str) -> None: + """Test TTL refresh on asearch with async API.""" + ttl_seconds = 4.0 # Increased TTL for less sensitivity to timing + ttl_minutes = ttl_seconds / 60.0 + + async with AsyncSqliteStore.from_conn_string( + temp_db_file, ttl={"default_ttl": ttl_minutes, "refresh_on_read": True} + ) as store: + await store.setup() + + namespace = ("docs", "user1") + # t=0: items put, expire at t=4.0s + await store.aput(namespace, "item1", {"text": "content1", "id": 1}) + await store.aput(namespace, "item2", {"text": "content2", "id": 2}) + + # t=3.0s: (after sleep ttl_seconds * 0.75 = 3s) + await asyncio.sleep(ttl_seconds * 0.75) + + # Perform asearch with refresh_ttl=True for item1. + # item1's TTL should be refreshed. New expiry: t=3.0s + 4.0s = t=7.0s. + # item2's TTL is not affected. Expires at t=4.0s. + searched_items = await store.asearch( + namespace, filter={"id": 1}, refresh_ttl=True + ) + assert len(searched_items) == 1 + assert searched_items[0].key == "item1" + + # t=5.0s: (after sleep ttl_seconds * 0.5 = 2s more. Total elapsed: 3s + 2s = 5s) + await asyncio.sleep(ttl_seconds * 0.5) + # At this point: + # - item1 (refreshed by asearch) should expire at t=7.0s. Should be ALIVE. + # - item2 (original TTL) should have expired at t=4.0s. Should be GONE after sweep. + + await store.sweep_ttl() + + # Check item1 (should exist due to asearch refresh) + item1_check1 = await store.aget(namespace, "item1", refresh_ttl=False) + assert item1_check1 is not None, ( + "Item1 should exist after asearch refresh and first sweep" + ) + assert item1_check1.value["text"] == "content1" + + # Check item2 (should be gone) + item2_check1 = await store.aget(namespace, "item2", refresh_ttl=False) + assert item2_check1 is None, ( + "Item2 should be gone after its original TTL expired" + ) + + # t=7.5s: (after sleep ttl_seconds * 0.625 = 2.5s more. Total elapsed: 5s + 2.5s = 7.5s) + await asyncio.sleep(ttl_seconds * 0.625) + # At this point: + # - item1 (refreshed by asearch, expired at t=7.0s) should be GONE after sweep. + + await store.sweep_ttl() + + # Check item1 again (should be gone now) + item1_final_check = await store.aget(namespace, "item1", refresh_ttl=False) + assert item1_final_check is None, ( + "Item1 should be gone after its refreshed TTL expired" + ) From affaa90d2a7f1174251a7a4a16b04da26ee6834a Mon Sep 17 00:00:00 2001 From: Caspar Broekhuizen Date: Tue, 23 Sep 2025 12:47:50 -0700 Subject: [PATCH 41/54] fix(langgraph): fix graph rendering for defer=True (#6130) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ### Description Some graphs with `defer=True` nodes rendered incorrectly. E.g.: * edge C2 -> E1 is missing and edge C2 -> END should not appear in #5772 * edge E3 -> END is missing and edge E -> END should not appear in #5182 * extra edge #5369 Fix: * Record the destinations declared by get_static_writes for each node. Build step_sources as a union of the runtime writes and the static writes (instead of just runtime writes). * Label deferred nodes with 'deferred' ### https://github.com/langchain-ai/langgraph/issues/5772 'Before' is how they were rendered before this PR | No defer | Before (defer `E1`) | After (defer `E1`) | -------- | ------- | ------- | | defer_after | defer_before | defer_after | Before: * For deferred joins (NamedBarrierValueAfterFinish), a writer from an upstream node may not produce a runtime task.writes entry until the barrier opens. draw_graph() builds edges from task.writes, so one side of the join (here C2) never gets recorded as a source, and C2 is seen as a sink, so there is an implicit edge: C2 -> END edge added. After: * C2's write to the join channel is recorded even if the barrier hasn’t opened. When E1 finally schedules, we correctly find both sources B2 and C2 for the same trigger and emit edges: B2 -> E1 and C2 -> E1. With C2 -> E1 present, C2 is no longer a terminus, so the unexpected edge: C2 -> END is not added. ### Other graphs Graphs for the most part remain unchanged. See: ### #5182 | No defer | Before (defer `d`) | After (defer `d`) | -------- | ------- | ------- | | defer_after | defer_before | defer_after | ### https://github.com/langchain-ai/langgraph/issues/5369 | No defer | Before (defer `595577`, `52642`) | After (defer `595577`, `52642`) | -------- | ------- | ------- | | defer_after | defer_before | defer_after | --- libs/langgraph/langgraph/pregel/_draw.py | 66 +++++-- .../tests/__snapshots__/test_pregel.ambr | 186 +++++++++--------- 2 files changed, 142 insertions(+), 110 deletions(-) diff --git a/libs/langgraph/langgraph/pregel/_draw.py b/libs/langgraph/langgraph/pregel/_draw.py index a6d33d4a9..922450df9 100644 --- a/libs/langgraph/langgraph/pregel/_draw.py +++ b/libs/langgraph/langgraph/pregel/_draw.py @@ -2,7 +2,7 @@ from __future__ import annotations from collections import defaultdict from collections.abc import Mapping, Sequence -from typing import Any, cast +from typing import Any, NamedTuple, cast from langchain_core.runnables.config import RunnableConfig from langchain_core.runnables.graph import Graph, Node @@ -10,6 +10,7 @@ from langgraph.checkpoint.base import BaseCheckpointSaver from langgraph._internal._constants import CONF, CONFIG_KEY_SEND, INPUT from langgraph.channels.base import BaseChannel +from langgraph.channels.last_value import LastValueAfterFinish from langgraph.constants import END, START from langgraph.managed.base import ManagedValueSpec from langgraph.pregel._algo import ( @@ -25,6 +26,19 @@ from langgraph.pregel._write import ChannelWrite from langgraph.types import All, Checkpointer +class Edge(NamedTuple): + source: str + target: str + conditional: bool + data: str | None + + +class TriggerEdge(NamedTuple): + source: str + conditional: bool + data: str | None + + def draw_graph( config: RunnableConfig, *, @@ -49,7 +63,7 @@ def draw_graph( The graph for this Pregel instance. """ # (src, dest, is_conditional, label) - edges: set[tuple[str, str, bool, str | None]] = set() + edges: set[Edge] = set() step = -1 checkpoint = empty_checkpoint() @@ -63,8 +77,9 @@ def draw_graph( checkpoint, ) static_seen: set[Any] = set() - sources: dict[str, set[tuple[str, bool, str | None]]] = {} - step_sources: dict[str, set[tuple[str, bool, str | None]]] = {} + sources: dict[str, set[TriggerEdge]] = {} + step_sources: dict[str, set[TriggerEdge]] = {} + static_declared_writes: dict[str, set[TriggerEdge]] = defaultdict(set) # remove node mappers nodes = { k: v.copy(update={"mapper": None}) if v.mapper is not None else v @@ -123,32 +138,36 @@ def draw_graph( # END writes are not written, but become edges directly for t in writes: if t[0] == END: - edges.add((task.name, t[0], True, t[2])) + edges.add(Edge(task.name, t[0], True, t[2])) writes = [t for t in writes if t[0] != END] conditionals.update( {(task.name, t[0], t[1] or None): t[2] for t in writes} ) + # record static writes for edge creation + for t in writes: + static_declared_writes[task.name].add( + TriggerEdge(t[0], True, t[2]) + ) task.config[CONF][CONFIG_KEY_SEND]([t[:2] for t in writes]) # collect sources - step_sources = { - task.name: { - ( + step_sources = {} + for task in tasks.values(): + task_edges = { + TriggerEdge( w[0], (task.name, w[0], w[1] or None) in conditionals, conditionals.get((task.name, w[0], w[1] or None)), ) for w in task.writes } - for task in tasks.values() - } + task_edges |= static_declared_writes.get(task.name, set()) + step_sources[task.name] = task_edges sources.update(step_sources) # invert triggers - trigger_to_sources: dict[str, set[tuple[str, bool, str | None]]] = defaultdict( - set - ) + trigger_to_sources: dict[str, set[TriggerEdge]] = defaultdict(set) for src, triggers in sources.items(): for trigger, cond, label in triggers: - trigger_to_sources[trigger].add((src, cond, label)) + trigger_to_sources[trigger].add(TriggerEdge(src, cond, label)) # apply writes updated_channels = apply_writes( checkpoint, channels, tasks.values(), get_next_version, trigger_to_nodes @@ -170,26 +189,39 @@ def draw_graph( trigger_to_nodes=trigger_to_nodes, updated_channels=updated_channels, ) + # collect deferred nodes + deferred_nodes: set[str] = set() + edges_to_deferred_nodes: set[Edge] = set() + for channel, item in channels.items(): + if isinstance(item, LastValueAfterFinish): + deferred_node = channel.split(":", 2)[-1] + deferred_nodes.add(deferred_node) # collect edges for task in tasks.values(): added = False for trigger in task.triggers: for src, cond, label in sorted(trigger_to_sources[trigger]): - edges.add((src, task.name, cond, label)) + # record edge to be reviewed later + if task.name in deferred_nodes: + edges_to_deferred_nodes.add(Edge(src, task.name, cond, label)) + edges.add(Edge(src, task.name, cond, label)) # if the edge is from this step, skip adding the implicit edges if (trigger, cond, label) in step_sources.get(src, set()): added = True else: - sources[src].discard((trigger, cond, label)) + sources[src].discard(TriggerEdge(trigger, cond, label)) # if no edges from this step, add implicit edges from all previous tasks if not added: for src in step_sources: - edges.add((src, task.name, True, None)) + edges.add(Edge(src, task.name, True, None)) + # assemble the graph graph = Graph() # add nodes for name, node in nodes.items(): metadata = dict(node.metadata or {}) + if name in deferred_nodes: + metadata["defer"] = True if name in interrupt_before_nodes and name in interrupt_after_nodes: metadata["__interrupt"] = "before,after" elif name in interrupt_before_nodes: diff --git a/libs/langgraph/tests/__snapshots__/test_pregel.ambr b/libs/langgraph/tests/__snapshots__/test_pregel.ambr index b7dfbcd0e..d3808a63a 100644 --- a/libs/langgraph/tests/__snapshots__/test_pregel.ambr +++ b/libs/langgraph/tests/__snapshots__/test_pregel.ambr @@ -307,6 +307,99 @@ ''' # --- +# name: test_get_graph_nonterminal_last_step_source + ''' + { + "edges": [ + { + "source": "__start__", + "target": "human" + }, + { + "conditional": true, + "source": "chatbot", + "target": "human" + }, + { + "conditional": true, + "source": "chatbot", + "target": "tools" + }, + { + "conditional": true, + "source": "human", + "target": "__end__" + }, + { + "conditional": true, + "source": "human", + "target": "chatbot" + }, + { + "source": "tools", + "target": "chatbot" + } + ], + "nodes": [ + { + "data": { + "id": [ + "langgraph", + "_internal", + "_runnable", + "RunnableCallable" + ], + "name": "__start__" + }, + "id": "__start__", + "type": "runnable" + }, + { + "data": { + "id": [ + "langgraph", + "_internal", + "_runnable", + "RunnableCallable" + ], + "name": "chatbot" + }, + "id": "chatbot", + "type": "runnable" + }, + { + "data": { + "id": [ + "langgraph", + "_internal", + "_runnable", + "RunnableCallable" + ], + "name": "tools" + }, + "id": "tools", + "type": "runnable" + }, + { + "data": { + "id": [ + "langgraph", + "_internal", + "_runnable", + "RunnableCallable" + ], + "name": "human" + }, + "id": "human", + "type": "runnable" + }, + { + "id": "__end__" + } + ] + } + ''' +# --- # name: test_get_graph_root_channel ''' { @@ -795,99 +888,6 @@ ''' # --- -# name: test_get_graph_nonterminal_last_step_source - ''' - { - "edges": [ - { - "source": "__start__", - "target": "human" - }, - { - "conditional": true, - "source": "chatbot", - "target": "human" - }, - { - "conditional": true, - "source": "chatbot", - "target": "tools" - }, - { - "conditional": true, - "source": "human", - "target": "__end__" - }, - { - "conditional": true, - "source": "human", - "target": "chatbot" - }, - { - "source": "tools", - "target": "chatbot" - } - ], - "nodes": [ - { - "data": { - "id": [ - "langgraph", - "_internal", - "_runnable", - "RunnableCallable" - ], - "name": "__start__" - }, - "id": "__start__", - "type": "runnable" - }, - { - "data": { - "id": [ - "langgraph", - "_internal", - "_runnable", - "RunnableCallable" - ], - "name": "chatbot" - }, - "id": "chatbot", - "type": "runnable" - }, - { - "data": { - "id": [ - "langgraph", - "_internal", - "_runnable", - "RunnableCallable" - ], - "name": "tools" - }, - "id": "tools", - "type": "runnable" - }, - { - "data": { - "id": [ - "langgraph", - "_internal", - "_runnable", - "RunnableCallable" - ], - "name": "human" - }, - "id": "human", - "type": "runnable" - }, - { - "id": "__end__" - } - ] - } - ''' -# --- # name: test_repeat_condition ''' graph TD; From 6139dacef96a4dacb4290892a628df674c0c62cc Mon Sep 17 00:00:00 2001 From: dmsthd Date: Wed, 24 Sep 2025 09:11:17 +0900 Subject: [PATCH 42/54] fix(langgraph): cleanup orphaned waiter task in AsyncPregelLoop (#6167) ### Summary This PR fixes an issue where `AsyncPregelLoop` could leave behind an orphaned `stream.wait()` task, resulting in warnings like: ``` Task was destroyed but it is pending! ``` ### Related Discussion This PR is in response to: [langchain-ai/langgraph#6163](https://github.com/langchain-ai/langgraph/discussions/6163) ### Problem * In the async path, `get_waiter()` was creating a new `asyncio.Task` via ```python aioloop.create_task(stream.wait()) ``` but never tracked or cleaned it up. * On cancellation or shutdown, these tasks remained pending and produced warnings. ### Solution * Changed `get_waiter()` to: * Maintain a **single waiter task** (similar to the sync path). * Auto-clear the reference when the task finishes. * Added `_cleanup_waiter()`: * On exit, attempt to wake the waiter (`stream._count.release()` if available). * Otherwise, cancel and `await` the pending task to ensure proper cleanup. * Wrapped the `while loop.tick():` block in a `try/finally` to guarantee `_cleanup_waiter()` runs on exit. * Added missing `import contextlib`. ### Impact * Prevents orphaned `stream.wait()` tasks. * Removes noisy `"Task was destroyed but it is pending!"` warnings. * Behavior of async streaming remains unchanged, only lifecycle management improved. ### Test Plan * Reproduced the issue by running async streaming with cancellation. * Verified warnings no longer appear after the fix. * Ran existing test suite (all passing). ### Notes * Sync and Async implementations now follow the same principle: *only one waiter at a time, always cleaned up on exit*. * Backwards-compatible; no API changes. ### Repro & Verification To confirm the issue and the fix I used the following minimal repro snippet: ```python # lg_repro.py import asyncio import os # Enable asyncio debug logs to surface pending task warnings os.environ.setdefault("PYTHONASYNCIODEBUG", "1") from langgraph.graph import START, END, StateGraph State = dict # Slow async node: processes once, then sleeps to keep the waiter alive async def slow_node(state: State) -> State: await asyncio.sleep(0.2) # simulate work state["count"] = state.get("count", 0) + 1 await asyncio.sleep(1.0) # keep stream.wait() waiter active return state # Build simple graph: START -> slow_node -> END builder = StateGraph(State) builder.add_node("slow", slow_node) builder.add_edge(START, "slow") builder.add_edge("slow", END) graph = builder.compile() async def run_and_cancel(): # astream with messages mode triggers internal stream.wait() waiter async def consumer(): async for _ in graph.astream({"msg": "hi"}, stream_mode="messages"): await asyncio.sleep(0.05) t = asyncio.create_task(consumer(), name="astream-consumer") # Allow the stream to start, then cancel the consumer await asyncio.sleep(0.1) t.cancel() try: await t except asyncio.CancelledError: pass # Let loop settle to show pending waiter task if not cleaned await asyncio.sleep(0.05) def main(): loop = asyncio.new_event_loop() asyncio.set_event_loop(loop) loop.set_debug(True) try: loop.run_until_complete(run_and_cancel()) finally: # If the internal waiter is not cleaned, closing the loop will warn loop.close() if __name__ == "__main__": main() ```` **How to run** ```powershell # Before (main branch) git checkout main pip install -e libs/langgraph $env:PYTHONASYNCIODEBUG=1; python lg_repro.py # After (patched branch) git checkout async-waiter-cleanup pip install -e libs/langgraph $env:PYTHONASYNCIODEBUG=1; python lg_repro.py ``` **Observed results** * **main branch (before fix):** Shows warnings like: ``` Task was destroyed but it is pending! ... coro= created at langgraph/pregel/main.py:2927 ``` * **patched branch (after fix):** No warnings. The single waiter is properly cleaned up on exit via `_cleanup_waiter()` (release semaphore if available, then cancel/await). --- This confirms that the patch removes the orphaned `stream.wait()` task and prevents `"Task was destroyed but it is pending!"` warnings during cancellation/shutdown. --------- Co-authored-by: Caspar Broekhuizen --- libs/langgraph/langgraph/pregel/main.py | 96 ++++++++++++++++------- libs/langgraph/tests/test_pregel_async.py | 55 +++++++++++++ 2 files changed, 123 insertions(+), 28 deletions(-) diff --git a/libs/langgraph/langgraph/pregel/main.py b/libs/langgraph/langgraph/pregel/main.py index a47ff3f4b..2e3fdd926 100644 --- a/libs/langgraph/langgraph/pregel/main.py +++ b/libs/langgraph/langgraph/pregel/main.py @@ -3,15 +3,24 @@ from __future__ import annotations import asyncio import concurrent import concurrent.futures +import contextlib import queue import warnings import weakref from collections import defaultdict, deque -from collections.abc import AsyncIterator, Iterator, Mapping, Sequence +from collections.abc import AsyncIterator, Awaitable, Iterator, Mapping, Sequence from dataclasses import is_dataclass from functools import partial from inspect import isclass -from typing import Any, Callable, Generic, Optional, Union, cast, get_type_hints +from typing import ( + Any, + Callable, + Generic, + Optional, + Union, + cast, + get_type_hints, +) from uuid import UUID, uuid5 from langchain_core.globals import get_debug @@ -2612,6 +2621,7 @@ class Pregel( if subgraphs: loop.config[CONF][CONFIG_KEY_STREAM] = loop.stream # enable concurrent streaming + get_waiter: Callable[[], concurrent.futures.Future[None]] | None = None if ( self.stream_eager or subgraphs @@ -2634,8 +2644,6 @@ class Pregel( else: return waiter - else: - get_waiter = None # type: ignore[assignment] # Similarly to Bulk Synchronous Parallel / Pregel model # computation proceeds in steps, while there are channel updates. # Channel updates from step N are only visible in step N+1 @@ -2916,45 +2924,77 @@ class Pregel( stream_put, stream_modes ) # enable concurrent streaming + get_waiter: Callable[[], asyncio.Task[None]] | None = None + _cleanup_waiter: Callable[[], Awaitable[None]] | None = None if ( self.stream_eager or subgraphs or "messages" in stream_modes or "custom" in stream_modes ): + # Keep a single waiter task alive; ensure cleanup on exit. + waiter: asyncio.Task[None] | None = None def get_waiter() -> asyncio.Task[None]: - return aioloop.create_task(stream.wait()) + nonlocal waiter + if waiter is None or waiter.done(): + waiter = aioloop.create_task(stream.wait()) + + def _clear(t: asyncio.Task[None]) -> None: + nonlocal waiter + if waiter is t: + waiter = None + + waiter.add_done_callback(_clear) + return waiter + + async def _cleanup_waiter() -> None: + """Wake pending waiter and/or cancel+await to avoid pending tasks.""" + nonlocal waiter + # Try to wake via semaphore like SyncPregelLoop + with contextlib.suppress(Exception): + if hasattr(stream, "_count"): + stream._count.release() + t = waiter + waiter = None + if t is not None and not t.done(): + t.cancel() + with contextlib.suppress(asyncio.CancelledError): + await t - else: - get_waiter = None # type: ignore[assignment] # Similarly to Bulk Synchronous Parallel / Pregel model # computation proceeds in steps, while there are channel updates # channel updates from step N are only visible in step N+1 # channels are guaranteed to be immutable for the duration of the step, # with channel updates applied only at the transition between steps - while loop.tick(): - for task in await loop.amatch_cached_writes(): - loop.output_writes(task.id, task.writes, cached=True) - async for _ in runner.atick( - [t for t in loop.tasks.values() if not t.writes], - timeout=self.step_timeout, - get_waiter=get_waiter, - schedule_task=loop.aaccept_push, - ): - # emit output - for o in _output( - stream_mode, - print_mode, - subgraphs, - stream.get_nowait, - asyncio.QueueEmpty, + try: + while loop.tick(): + for task in await loop.amatch_cached_writes(): + loop.output_writes(task.id, task.writes, cached=True) + async for _ in runner.atick( + [t for t in loop.tasks.values() if not t.writes], + timeout=self.step_timeout, + get_waiter=get_waiter, + schedule_task=loop.aaccept_push, ): - yield o - loop.after_tick() - # wait for checkpoint - if durability_ == "sync": - await cast(asyncio.Future, loop._put_checkpoint_fut) + # emit output + for o in _output( + stream_mode, + print_mode, + subgraphs, + stream.get_nowait, + asyncio.QueueEmpty, + ): + yield o + loop.after_tick() + # wait for checkpoint + if durability_ == "sync": + await cast(asyncio.Future, loop._put_checkpoint_fut) + finally: + # ensure waiter doesn't remain pending on cancel/shutdown + if _cleanup_waiter is not None: + await _cleanup_waiter() + # emit output for o in _output( stream_mode, diff --git a/libs/langgraph/tests/test_pregel_async.py b/libs/langgraph/tests/test_pregel_async.py index a1d552e6a..a6296a0c4 100644 --- a/libs/langgraph/tests/test_pregel_async.py +++ b/libs/langgraph/tests/test_pregel_async.py @@ -41,6 +41,7 @@ from syrupy import SnapshotAssertion from typing_extensions import NotRequired, TypedDict from langgraph._internal._constants import CONFIG_KEY_NODE_FINISHED, ERROR, PULL +from langgraph._internal._queue import AsyncQueue from langgraph.channels.binop import BinaryOperatorAggregate from langgraph.channels.last_value import LastValue from langgraph.channels.topic import Topic @@ -9156,3 +9157,57 @@ async def test_null_resume_disallowed_with_multiple_interrupts( "text_1": "resume for prompt: original text 1", "text_2": "resume for prompt: original text 2", } + + +async def test_astream_waiter_cleanup_on_cancel( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Test that AsyncPregelLoop cleans up waiter tasks after cancellation.""" + + recorded_tasks: list[asyncio.Task[None]] = [] + finished_tasks: list[asyncio.Task[None]] = [] + + original_wait = AsyncQueue.wait + + async def tracked_wait(self: AsyncQueue) -> None: + task = asyncio.current_task() + assert task is not None + recorded_tasks.append(task) + try: + await original_wait(self) + finally: + finished_tasks.append(task) + + monkeypatch.setattr(AsyncQueue, "wait", tracked_wait) + + class State(TypedDict, total=False): + count: int + + async def slow_node(state: State) -> State: + await asyncio.sleep(0.05) + state = dict(state) + state["count"] = state.get("count", 0) + 1 + await asyncio.sleep(0.1) + return state + + builder = StateGraph(State) + builder.add_node("slow", slow_node) + builder.add_edge(START, "slow") + builder.add_edge("slow", END) + graph = builder.compile() + + async def consumer() -> None: + async for _ in graph.astream({"msg": "hi"}, stream_mode="messages"): + await asyncio.sleep(0.01) + + task = asyncio.create_task(consumer()) + await asyncio.sleep(0.05) + task.cancel() + with pytest.raises(asyncio.CancelledError): + await task + + await asyncio.sleep(0.05) + + assert recorded_tasks, "expected stream.wait() task to be created" + assert set(finished_tasks) == set(recorded_tasks) + assert all(t.done() for t in recorded_tasks) From d933d455ecc033306c689e73f4f8cf1b8ff6af89 Mon Sep 17 00:00:00 2001 From: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Date: Wed, 24 Sep 2025 09:54:24 -0700 Subject: [PATCH 44/54] fix(cli): change prerelease behavior (#6156) respect users config, use uv defaults --- .github/workflows/_integration_test.yml | 14 +++ .../examples/graph_prerelease_reqs/agent.py | 8 +- .../deps/additional_deps/pyproject.toml | 9 ++ .../deps/zuper_deps/pyproject.toml | 9 ++ .../graph_prerelease_reqs/langgraph.json | 4 +- .../graph_prerelease_reqs/pyproject.toml | 14 +++ .../graph_prerelease_reqs/requirements.txt | 6 -- .../graph_prerelease_reqs_fail/agent.py | 89 +++++++++++++++++++ .../graph_prerelease_reqs_fail/langgraph.json | 11 +++ .../graph_prerelease_reqs_fail/pyproject.toml | 11 +++ libs/cli/langgraph_cli/config.py | 26 ++++-- libs/cli/tests/unit_tests/cli/test_cli.py | 4 +- libs/cli/tests/unit_tests/test_config.py | 42 ++++----- 13 files changed, 204 insertions(+), 43 deletions(-) create mode 100644 libs/cli/examples/graph_prerelease_reqs/deps/additional_deps/pyproject.toml create mode 100644 libs/cli/examples/graph_prerelease_reqs/deps/zuper_deps/pyproject.toml create mode 100644 libs/cli/examples/graph_prerelease_reqs/pyproject.toml delete mode 100644 libs/cli/examples/graph_prerelease_reqs/requirements.txt create mode 100644 libs/cli/examples/graph_prerelease_reqs_fail/agent.py create mode 100644 libs/cli/examples/graph_prerelease_reqs_fail/langgraph.json create mode 100644 libs/cli/examples/graph_prerelease_reqs_fail/pyproject.toml diff --git a/.github/workflows/_integration_test.yml b/.github/workflows/_integration_test.yml index 5655ae9e9..b5b1886af 100644 --- a/.github/workflows/_integration_test.yml +++ b/.github/workflows/_integration_test.yml @@ -94,3 +94,17 @@ jobs: cp ../.env.example .env if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h + LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);") + if [ "$LANGGRAPH_VERSION" != "1.0.0a2" ]; then + exit 1 + fi + LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);") + if [ "$LANGCHAIN_OPENAI_VERSION" != "0.3.0" ]; then + exit 1 + fi + + - name: Build and test prerelease reqs fail service + if: steps.changed-files.outputs.all + working-directory: libs/cli/examples/graph_prerelease_reqs_fail + run: | + langgraph build -t langgraph-test-i || [ $? -eq 1 ] diff --git a/libs/cli/examples/graph_prerelease_reqs/agent.py b/libs/cli/examples/graph_prerelease_reqs/agent.py index b33b1a5d3..4801c7c0b 100644 --- a/libs/cli/examples/graph_prerelease_reqs/agent.py +++ b/libs/cli/examples/graph_prerelease_reqs/agent.py @@ -1,7 +1,6 @@ from collections.abc import Sequence from typing import Annotated, Literal, TypedDict -from langchain.chat_models import init_chat_model from langchain_community.tools.tavily_search import TavilySearchResults from langchain_core.messages import BaseMessage from langchain_openai import ChatOpenAI @@ -10,10 +9,8 @@ from langgraph.prebuilt import ToolNode tools = [TavilySearchResults(max_results=1)] -model_anth = init_chat_model("claude-3-7-sonnet-20250219", model_provider="anthropic") model_oai = ChatOpenAI(temperature=0) -model_anth = model_anth.bind_tools(tools) model_oai = model_oai.bind_tools(tools) @@ -35,10 +32,7 @@ def should_continue(state): # Define the function that calls the model def call_model(state, config): - if config["configurable"].get("model", "anthropic") == "anthropic": - model = model_anth - else: - model = model_oai + model = model_oai messages = state["messages"] response = model.invoke(messages) # We return a list, because this will get added to the existing list diff --git a/libs/cli/examples/graph_prerelease_reqs/deps/additional_deps/pyproject.toml b/libs/cli/examples/graph_prerelease_reqs/deps/additional_deps/pyproject.toml new file mode 100644 index 000000000..39e1ee42d --- /dev/null +++ b/libs/cli/examples/graph_prerelease_reqs/deps/additional_deps/pyproject.toml @@ -0,0 +1,9 @@ +[project] +name = "graph-prerelease-reqs-additional-deps" +version = "0.1.0" +description = "Test for prerelease stuff" +readme = "README.md" +requires-python = ">=3.10" +dependencies = [ + "langgraph==0.6.0" +] \ No newline at end of file diff --git a/libs/cli/examples/graph_prerelease_reqs/deps/zuper_deps/pyproject.toml b/libs/cli/examples/graph_prerelease_reqs/deps/zuper_deps/pyproject.toml new file mode 100644 index 000000000..2679347cb --- /dev/null +++ b/libs/cli/examples/graph_prerelease_reqs/deps/zuper_deps/pyproject.toml @@ -0,0 +1,9 @@ +[project] +name = "graph-prerelease-reqs-zuper-deps" +version = "0.1.0" +description = "Test for prerelease stuff" +readme = "README.md" +requires-python = ">=3.10" +dependencies = [ + "langchain-openai==0.3.0" +] \ No newline at end of file diff --git a/libs/cli/examples/graph_prerelease_reqs/langgraph.json b/libs/cli/examples/graph_prerelease_reqs/langgraph.json index 8bc7d8b2c..6d3a7b92b 100644 --- a/libs/cli/examples/graph_prerelease_reqs/langgraph.json +++ b/libs/cli/examples/graph_prerelease_reqs/langgraph.json @@ -1,7 +1,9 @@ { "python_version": "3.12", "dependencies": [ - "." + ".", + "./deps/additional_deps", + "./deps/zuper_deps" ], "graphs": { "agent": "./agent.py:graph" diff --git a/libs/cli/examples/graph_prerelease_reqs/pyproject.toml b/libs/cli/examples/graph_prerelease_reqs/pyproject.toml new file mode 100644 index 000000000..05e5da1d3 --- /dev/null +++ b/libs/cli/examples/graph_prerelease_reqs/pyproject.toml @@ -0,0 +1,14 @@ +[project] +name = "graph-prerelease-reqs" +version = "0.1.0" +description = "Test for prerelease stuff" +readme = "README.md" +requires-python = ">=3.10" +dependencies = [ + "langchain-openai==1.0.0a2", + "langgraph==1.0.0a2", + "langchain_community>=0.3.0", +] + +[tool.uv] +prerelease = "allow" \ No newline at end of file diff --git a/libs/cli/examples/graph_prerelease_reqs/requirements.txt b/libs/cli/examples/graph_prerelease_reqs/requirements.txt deleted file mode 100644 index 92e4c3b5c..000000000 --- a/libs/cli/examples/graph_prerelease_reqs/requirements.txt +++ /dev/null @@ -1,6 +0,0 @@ -requests -langchain_anthropic -langchain_openai -langchain_community -langchain -langgraph==1.0.0a2 \ No newline at end of file diff --git a/libs/cli/examples/graph_prerelease_reqs_fail/agent.py b/libs/cli/examples/graph_prerelease_reqs_fail/agent.py new file mode 100644 index 000000000..4801c7c0b --- /dev/null +++ b/libs/cli/examples/graph_prerelease_reqs_fail/agent.py @@ -0,0 +1,89 @@ +from collections.abc import Sequence +from typing import Annotated, Literal, TypedDict + +from langchain_community.tools.tavily_search import TavilySearchResults +from langchain_core.messages import BaseMessage +from langchain_openai import ChatOpenAI +from langgraph.graph import END, StateGraph, add_messages +from langgraph.prebuilt import ToolNode + +tools = [TavilySearchResults(max_results=1)] + +model_oai = ChatOpenAI(temperature=0) + +model_oai = model_oai.bind_tools(tools) + + +class AgentState(TypedDict): + messages: Annotated[Sequence[BaseMessage], add_messages] + + +# Define the function that determines whether to continue or not +def should_continue(state): + messages = state["messages"] + last_message = messages[-1] + # If there are no tool calls, then we finish + if not last_message.tool_calls: + return "end" + # Otherwise if there is, we continue + else: + return "continue" + + +# Define the function that calls the model +def call_model(state, config): + model = model_oai + messages = state["messages"] + response = model.invoke(messages) + # We return a list, because this will get added to the existing list + return {"messages": [response]} + + +# Define the function to execute tools +tool_node = ToolNode(tools) + + +class ContextSchema(TypedDict): + model: Literal["anthropic", "openai"] + + +# Define a new graph +workflow = StateGraph(AgentState, context_schema=ContextSchema) + +# Define the two nodes we will cycle between +workflow.add_node("agent", call_model) +workflow.add_node("action", tool_node) + +# Set the entrypoint as `agent` +# This means that this node is the first one called +workflow.set_entry_point("agent") + +# We now add a conditional edge +workflow.add_conditional_edges( + # First, we define the start node. We use `agent`. + # This means these are the edges taken after the `agent` node is called. + "agent", + # Next, we pass in the function that will determine which node is called next. + should_continue, + # Finally we pass in a mapping. + # The keys are strings, and the values are other nodes. + # END is a special node marking that the graph should finish. + # What will happen is we will call `should_continue`, and then the output of that + # will be matched against the keys in this mapping. + # Based on which one it matches, that node will then be called. + { + # If `tools`, then we call the tool node. + "continue": "action", + # Otherwise we finish. + "end": END, + }, +) + +# We now add a normal edge from `tools` to `agent`. +# This means that after `tools` is called, `agent` node is called next. +workflow.add_edge("action", "agent") + +# Finally, we compile it! +# This compiles it into a LangChain Runnable, +# meaning you can use it as you would any other runnable +graph = workflow.compile() diff --git a/libs/cli/examples/graph_prerelease_reqs_fail/langgraph.json b/libs/cli/examples/graph_prerelease_reqs_fail/langgraph.json new file mode 100644 index 000000000..8bc7d8b2c --- /dev/null +++ b/libs/cli/examples/graph_prerelease_reqs_fail/langgraph.json @@ -0,0 +1,11 @@ +{ + "python_version": "3.12", + "dependencies": [ + "." + ], + "graphs": { + "agent": "./agent.py:graph" + }, + "env": "../.env" + } + \ No newline at end of file diff --git a/libs/cli/examples/graph_prerelease_reqs_fail/pyproject.toml b/libs/cli/examples/graph_prerelease_reqs_fail/pyproject.toml new file mode 100644 index 000000000..27933649b --- /dev/null +++ b/libs/cli/examples/graph_prerelease_reqs_fail/pyproject.toml @@ -0,0 +1,11 @@ +[project] +name = "graph-prerelease-reqs" +version = "0.1.0" +description = "Test for prerelease stuff" +readme = "README.md" +requires-python = ">=3.10" +dependencies = [ + "langchain-openai==1.0.0a2", + "langgraph==1.0.0a2", + "langchain_community>=0.3.0", +] \ No newline at end of file diff --git a/libs/cli/langgraph_cli/config.py b/libs/cli/langgraph_cli/config.py index 9b6986eca..3b47788eb 100644 --- a/libs/cli/langgraph_cli/config.py +++ b/libs/cli/langgraph_cli/config.py @@ -1268,16 +1268,22 @@ def python_config_to_docker( else: pip_installer = "pip" if pip_installer == "uv": - install_cmd = "uv pip install --system --prerelease=allow" + install_cmd = "uv pip install --system" elif pip_installer == "pip": install_cmd = "pip install" else: raise ValueError(f"Invalid pip_installer: {pip_installer}") # configure pip - pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt" + local_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt" + global_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt" if config.get("pip_config_file"): - pip_install = f"PIP_CONFIG_FILE=/pipconfig.txt {pip_install}" + local_reqs_pip_install = ( + f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}" + ) + global_reqs_pip_install = ( + f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}" + ) pip_config_file_str = ( f"ADD {config['pip_config_file']} /pipconfig.txt" if config.get("pip_config_file") @@ -1294,7 +1300,9 @@ def python_config_to_docker( # Rewrite HTTP app path, so it points to the correct location in the Docker container _update_http_app_path(config_path, config, local_deps) - pip_pkgs_str = f"RUN {pip_install} {' '.join(pypi_deps)}" if pypi_deps else "" + pip_pkgs_str = ( + f"RUN {local_reqs_pip_install} {' '.join(pypi_deps)}" if pypi_deps else "" + ) if local_deps.pip_reqs: pip_reqs_str = os.linesep.join( ( @@ -1304,7 +1312,7 @@ def python_config_to_docker( ) for reqpath, destpath in local_deps.pip_reqs ) - pip_reqs_str += f"{os.linesep}RUN {pip_install} {' '.join('-r ' + r for _, r in local_deps.pip_reqs)}" + pip_reqs_str += f"{os.linesep}RUN {local_reqs_pip_install} {' '.join('-r ' + r for _, r in local_deps.pip_reqs)}" pip_reqs_str = f"""# -- Installing local requirements -- {pip_reqs_str} # -- End of local requirements install --""" @@ -1414,7 +1422,13 @@ ADD {relpath} /deps/{name} installs, "", "# -- Installing all local dependencies --", - f"RUN {pip_install} -e /deps/*", + f"""RUN for dep in /deps/*; do \ + echo "Installing $dep"; \ + if [ -d "$dep" ]; then \ + echo "Installing $dep"; \ + (cd "$dep" && {global_reqs_pip_install} .); \ + fi; \ + done""", "# -- End of local dependencies install --", os.linesep.join(env_vars), "", diff --git a/libs/cli/tests/unit_tests/cli/test_cli.py b/libs/cli/tests/unit_tests/cli/test_cli.py index 6b1fca6ed..a16e31dcf 100644 --- a/libs/cli/tests/unit_tests/cli/test_cli.py +++ b/libs/cli/tests/unit_tests/cli/test_cli.py @@ -15,7 +15,7 @@ from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Versi from langgraph_cli.util import clean_empty_lines FORMATTED_CLEANUP_LINES = _get_pip_cleanup_lines( - install_cmd="uv pip install --system --prerelease=allow", + install_cmd="uv pip install --system", to_uninstall=("pip", "setuptools", "wheel"), pip_installer="uv", ) @@ -149,7 +149,7 @@ services: COPY --from=cli_1 . /deps/cli_1 # -- End of local package ../../.. -- # -- Installing all local dependencies -- - RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* + RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGSERVE_GRAPHS='{{"agent": "agent.py:graph"}}' {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")} diff --git a/libs/cli/tests/unit_tests/test_config.py b/libs/cli/tests/unit_tests/test_config.py index 3b3efb6ec..733e74dbf 100644 --- a/libs/cli/tests/unit_tests/test_config.py +++ b/libs/cli/tests/unit_tests/test_config.py @@ -20,7 +20,7 @@ from langgraph_cli.config import ( from langgraph_cli.util import clean_empty_lines FORMATTED_CLEANUP_LINES = _get_pip_cleanup_lines( - install_cmd="uv pip install --system --prerelease=allow", + install_cmd="uv pip install --system", to_uninstall=("pip", "setuptools", "wheel"), pip_installer="uv", ) @@ -422,7 +422,7 @@ def test_config_to_docker_simple(): FROM langchain/langgraph-api:3.11 # -- Installing local requirements -- COPY --from=outer-requirements.txt requirements.txt /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt -RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -r /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt +RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -r /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt # -- End of local requirements install -- # -- Adding local package ../../examples -- COPY --from=examples . /deps/examples @@ -456,7 +456,7 @@ RUN set -ex && \\ done # -- End of non-package dependency graphs_reqs_a -- # -- Installing all local dependencies -- -RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* +RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGGRAPH_HTTP='{{"app": "/deps/examples/my_app.py:app"}}' ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}' @@ -512,7 +512,7 @@ RUN set -ex && \\ done # -- End of non-package dependency tests -- # -- Installing all local dependencies -- -RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* +RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}' """ @@ -559,7 +559,7 @@ RUN set -ex && \\ done # -- End of non-package dependency unit_tests -- # -- Installing all local dependencies -- -RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* +RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}' """ @@ -621,7 +621,7 @@ RUN set -ex && \\ done # -- End of non-package dependency graphs -- # -- Installing all local dependencies -- -RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* +RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}' {FORMATTED_CLEANUP_LINES}\ @@ -657,7 +657,7 @@ dependencies = ["langchain"]""" ADD . /deps/unit_tests # -- End of local package . -- # -- Installing all local dependencies -- -RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* +RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGSERVE_GRAPHS='{"agent": "/deps/unit_tests/graphs/agent.py:graph"}' """ @@ -689,7 +689,7 @@ def test_config_to_docker_end_to_end(): ARG meow ARG foo ADD pipconfig.txt /pipconfig.txt -RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt langchain langchain_openai +RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt langchain langchain_openai # -- Adding non-package dependency graphs -- ADD ./graphs/ /deps/outer-graphs/src RUN set -ex && \\ @@ -705,7 +705,7 @@ RUN set -ex && \\ done # -- End of non-package dependency graphs -- # -- Installing all local dependencies -- -RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* +RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}' {FORMATTED_CLEANUP_LINES}""" @@ -811,7 +811,7 @@ RUN set -ex && \\ done # -- End of non-package dependency unit_tests -- # -- Installing all local dependencies -- -RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* +RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGGRAPH_UI='{{"agent": "./graphs/agent.ui.jsx"}}' ENV LANGGRAPH_UI_CONFIG='{{"shared": ["nuqs"]}}' @@ -857,7 +857,7 @@ RUN set -ex && \\ done # -- End of non-package dependency unit_tests -- # -- Installing all local dependencies -- -RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* +RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGSERVE_GRAPHS='{{"python": "/deps/outer-unit_tests/unit_tests/multiplatform/python.py:graph", "js": "/deps/outer-unit_tests/unit_tests/multiplatform/js.mts:graph"}}' # -- Installing JS dependencies -- @@ -887,7 +887,7 @@ def test_config_to_docker_pip_installer(): docker_auto, _ = config_to_docker( PATH_TO_CONFIG, config_auto, "langchain/langgraph-api:0.2.47" ) - assert "uv pip install --system --prerelease=allow" in docker_auto + assert "uv pip install --system " in docker_auto assert "rm /usr/bin/uv /usr/bin/uvx" in docker_auto # Test explicit pip setting @@ -895,7 +895,7 @@ def test_config_to_docker_pip_installer(): docker_pip, _ = config_to_docker( PATH_TO_CONFIG, config_pip, "langchain/langgraph-api:0.2.47" ) - assert "uv pip install --system --prerelease=allow" not in docker_pip + assert "uv pip install --system " not in docker_pip assert "pip install" in docker_pip assert "rm /usr/bin/uv" not in docker_pip @@ -904,7 +904,7 @@ def test_config_to_docker_pip_installer(): docker_uv, _ = config_to_docker( PATH_TO_CONFIG, config_uv, "langchain/langgraph-api:0.2.47" ) - assert "uv pip install --system --prerelease=allow" in docker_uv + assert "uv pip install --system " in docker_uv assert "rm /usr/bin/uv /usr/bin/uvx" in docker_uv # Test auto behavior with older image (should use pip) @@ -914,7 +914,7 @@ def test_config_to_docker_pip_installer(): docker_auto_old, _ = config_to_docker( PATH_TO_CONFIG, config_auto_old, "langchain/langgraph-api:0.2.46" ) - assert "uv pip install --system --prerelease=allow" not in docker_auto_old + assert "uv pip install --system " not in docker_auto_old assert "pip install" in docker_auto_old assert "rm /usr/bin/uv" not in docker_auto_old @@ -923,7 +923,7 @@ def test_config_to_docker_pip_installer(): docker_default, _ = config_to_docker( PATH_TO_CONFIG, config_default, "langchain/langgraph-api:0.2.47" ) - assert "uv pip install --system --prerelease=allow" in docker_default + assert "uv pip install --system " in docker_default def test_config_retain_build_tools(): @@ -998,7 +998,7 @@ def test_config_to_compose_simple_config(): done # -- End of non-package dependency unit_tests -- # -- Installing all local dependencies -- - RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* + RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}' {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")} @@ -1039,7 +1039,7 @@ def test_config_to_compose_env_vars(): done # -- End of non-package dependency unit_tests -- # -- Installing all local dependencies -- - RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* + RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}' {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")} @@ -1084,7 +1084,7 @@ def test_config_to_compose_env_file(): done # -- End of non-package dependency unit_tests -- # -- Installing all local dependencies -- - RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* + RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}' {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")} @@ -1122,7 +1122,7 @@ def test_config_to_compose_watch(): done # -- End of non-package dependency unit_tests -- # -- Installing all local dependencies -- - RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* + RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}' {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")} @@ -1169,7 +1169,7 @@ def test_config_to_compose_end_to_end(): done # -- End of non-package dependency unit_tests -- # -- Installing all local dependencies -- - RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/* + RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done # -- End of local dependencies install -- ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}' {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")} From 32d66d48eb723a91083715bac4f4fc7aba2d7eee Mon Sep 17 00:00:00 2001 From: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Date: Wed, 24 Sep 2025 09:58:38 -0700 Subject: [PATCH 45/54] chore(sdk-py): type errors nicely (#6173) This PR types errors in a nicer way --- libs/sdk-py/langgraph_sdk/client.py | 121 ++------------- libs/sdk-py/langgraph_sdk/errors.py | 222 ++++++++++++++++++++++++++++ libs/sdk-py/tests/test_errors.py | 108 ++++++++++++++ 3 files changed, 343 insertions(+), 108 deletions(-) create mode 100644 libs/sdk-py/langgraph_sdk/errors.py create mode 100644 libs/sdk-py/tests/test_errors.py diff --git a/libs/sdk-py/langgraph_sdk/client.py b/libs/sdk-py/langgraph_sdk/client.py index 6b8bafa55..f08d7b1fc 100644 --- a/libs/sdk-py/langgraph_sdk/client.py +++ b/libs/sdk-py/langgraph_sdk/client.py @@ -31,6 +31,7 @@ import httpx import orjson import langgraph_sdk +from langgraph_sdk.errors import _araise_for_status_typed, _raise_for_status_typed from langgraph_sdk.schema import ( All, Assistant, @@ -310,15 +311,7 @@ class HttpClient: r = await self.client.get(path, params=params, headers=headers) if on_response: on_response(r) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - body = (await r.aread()).decode() - if sys.version_info >= (3, 11): - e.add_note(body) - else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e + await _araise_for_status_typed(r) return await _adecode_json(r) async def post( @@ -343,15 +336,7 @@ class HttpClient: ) if on_response: on_response(r) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - body = (await r.aread()).decode() - if sys.version_info >= (3, 11): - e.add_note(body) - else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e + await _araise_for_status_typed(r) return await _adecode_json(r) async def put( @@ -372,15 +357,7 @@ class HttpClient: ) if on_response: on_response(r) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - body = (await r.aread()).decode() - if sys.version_info >= (3, 11): - e.add_note(body) - else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e + await _araise_for_status_typed(r) return await _adecode_json(r) async def patch( @@ -401,15 +378,7 @@ class HttpClient: ) if on_response: on_response(r) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - body = (await r.aread()).decode() - if sys.version_info >= (3, 11): - e.add_note(body) - else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e + await _araise_for_status_typed(r) return await _adecode_json(r) async def delete( @@ -427,15 +396,7 @@ class HttpClient: ) if on_response: on_response(r) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - body = (await r.aread()).decode() - if sys.version_info >= (3, 11): - e.add_note(body) - else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e + await _araise_for_status_typed(r) async def request_reconnect( self, @@ -536,15 +497,7 @@ class HttpClient: if reconnect_path is None and on_response: on_response(res) # check status - try: - res.raise_for_status() - except httpx.HTTPStatusError as e: - body = (await res.aread()).decode() - if sys.version_info >= (3, 11): - e.add_note(body) - else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e + await _araise_for_status_typed(res) # check content type content_type = res.headers.get("content-type", "").partition(";")[0] if "text/event-stream" not in content_type: @@ -3622,15 +3575,7 @@ class SyncHttpClient: r = self.client.get(path, params=params, headers=headers) if on_response: on_response(r) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - body = r.read().decode() - if sys.version_info >= (3, 11): - e.add_note(body) - else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e + _raise_for_status_typed(r) return _decode_json(r) def post( @@ -3654,15 +3599,7 @@ class SyncHttpClient: ) if on_response: on_response(r) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - body = r.read().decode() - if sys.version_info >= (3, 11): - e.add_note(body) - else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e + _raise_for_status_typed(r) return _decode_json(r) def put( @@ -3684,15 +3621,7 @@ class SyncHttpClient: ) if on_response: on_response(r) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - body = r.read().decode() - if sys.version_info >= (3, 11): - e.add_note(body) - else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e + _raise_for_status_typed(r) return _decode_json(r) def patch( @@ -3713,15 +3642,7 @@ class SyncHttpClient: ) if on_response: on_response(r) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - body = r.read().decode() - if sys.version_info >= (3, 11): - e.add_note(body) - else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e + _raise_for_status_typed(r) return _decode_json(r) def delete( @@ -3739,15 +3660,7 @@ class SyncHttpClient: ) if on_response: on_response(r) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - body = r.read().decode() - if sys.version_info >= (3, 11): - e.add_note(body) - else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e + _raise_for_status_typed(r) def request_reconnect( self, @@ -3850,15 +3763,7 @@ class SyncHttpClient: if reconnect_path is None and on_response: on_response(res) # check status - try: - res.raise_for_status() - except httpx.HTTPStatusError as e: - body = (res.read()).decode() - if sys.version_info >= (3, 11): - e.add_note(body) - else: - logger.error(f"Error from langgraph-api: {body}", exc_info=e) - raise e + _raise_for_status_typed(res) # check content type content_type = res.headers.get("content-type", "").partition(";")[0] if "text/event-stream" not in content_type: diff --git a/libs/sdk-py/langgraph_sdk/errors.py b/libs/sdk-py/langgraph_sdk/errors.py new file mode 100644 index 000000000..3b793cd68 --- /dev/null +++ b/libs/sdk-py/langgraph_sdk/errors.py @@ -0,0 +1,222 @@ +from __future__ import annotations + +import logging +import sys +from typing import Any, Literal, cast + +import httpx +import orjson + +logger = logging.getLogger(__name__) + + +class LangGraphError(Exception): + pass + + +class APIError(httpx.HTTPStatusError, LangGraphError): + message: str + request: httpx.Request + + body: object | None + code: str | None + param: str | None + type: str | None + + def __init__( + self, message: str, response: httpx.Response, *, body: object | None + ) -> None: + httpx.HTTPStatusError.__init__( + self, message, request=response.request, response=response + ) + LangGraphError.__init__(self) + + self.request = response.request + self.message = message + self.body = body + + if isinstance(body, dict): + b = cast(dict[str, Any], body) + # Best-effort extraction of common fields if present + code_val = b.get("code") + self.code = code_val if isinstance(code_val, str) else None + param_val = b.get("param") + self.param = param_val if isinstance(param_val, str) else None + t = b.get("type") + self.type = t if isinstance(t, str) else None + else: + self.code = None + self.param = None + self.type = None + + +class APIResponseValidationError(APIError): + response: httpx.Response + status_code: int + + def __init__( + self, + response: httpx.Response, + body: object | None, + *, + message: str | None = None, + ) -> None: + super().__init__( + message or "Data returned by API invalid for expected schema.", + response, + body=body, + ) + self.response = response + self.status_code = response.status_code + + +class APIStatusError(APIError): + response: httpx.Response + status_code: int + request_id: str | None + + def __init__( + self, message: str, *, response: httpx.Response, body: object | None + ) -> None: + super().__init__(message, response, body=body) + self.response = response + self.status_code = response.status_code + self.request_id = response.headers.get("x-request-id") + + +class APIConnectionError(APIError): + def __init__( + self, *, message: str = "Connection error.", request: httpx.Request + ) -> None: + super().__init__(message, request, body=None) + + +class APITimeoutError(APIConnectionError): + def __init__(self, request: httpx.Request) -> None: + super().__init__(message="Request timed out.", request=request) + + +class BadRequestError(APIStatusError): + status_code: Literal[400] = 400 + + +class AuthenticationError(APIStatusError): + status_code: Literal[401] = 401 + + +class PermissionDeniedError(APIStatusError): + status_code: Literal[403] = 403 + + +class NotFoundError(APIStatusError): + status_code: Literal[404] = 404 + + +class ConflictError(APIStatusError): + status_code: Literal[409] = 409 + + +class UnprocessableEntityError(APIStatusError): + status_code: Literal[422] = 422 + + +class RateLimitError(APIStatusError): + status_code: Literal[429] = 429 + + +class InternalServerError(APIStatusError): + pass + + +def _extract_error_message(body: object | None, fallback: str) -> str: + if isinstance(body, dict): + b = cast(dict[str, Any], body) + for key in ("message", "detail", "error"): + val = b.get(key) + if isinstance(val, str) and val: + return val + # Sometimes errors are structured like {"error": {"message": "..."}} + err = b.get("error") + if isinstance(err, dict): + e = cast(dict[str, Any], err) + for key in ("message", "detail"): + val = e.get(key) + if isinstance(val, str) and val: + return val + return fallback + + +async def _adecode_error_body(r: httpx.Response) -> object | None: + try: + data = await r.aread() + except Exception: + return None + if not data: + return None + try: + return orjson.loads(data) + except Exception: + try: + return data.decode() + except Exception: + return None + + +def _decode_error_body(r: httpx.Response) -> object | None: + try: + data = r.read() + except Exception: + return None + if not data: + return None + try: + return orjson.loads(data) + except Exception: + try: + return data.decode() + except Exception: + return None + + +def _map_status_error(response: httpx.Response, body: object | None) -> APIStatusError: + status = response.status_code + reason = response.reason_phrase or "HTTP Error" + message = _extract_error_message(body, f"{status} {reason}") + if status == 400: + return BadRequestError(message, response=response, body=body) + if status == 401: + return AuthenticationError(message, response=response, body=body) + if status == 403: + return PermissionDeniedError(message, response=response, body=body) + if status == 404: + return NotFoundError(message, response=response, body=body) + if status == 409: + return ConflictError(message, response=response, body=body) + if status == 422: + return UnprocessableEntityError(message, response=response, body=body) + if status == 429: + return RateLimitError(message, response=response, body=body) + if 500 <= status: + return InternalServerError(message, response=response, body=body) + return APIStatusError(message, response=response, body=body) + + +async def _araise_for_status_typed(r: httpx.Response) -> None: + if r.status_code < 400: + return + body = await _adecode_error_body(r) + err = _map_status_error(r, body) + # Log for older Python versions without Exception notes + if not (sys.version_info >= (3, 11)): + logger.error(f"Error from langgraph-api: {getattr(err, 'message', '')}") + raise err + + +def _raise_for_status_typed(r: httpx.Response) -> None: + if r.status_code < 400: + return + body = _decode_error_body(r) + err = _map_status_error(r, body) + if not (sys.version_info >= (3, 11)): + logger.error(f"Error from langgraph-api: {getattr(err, 'message', '')}") + raise err diff --git a/libs/sdk-py/tests/test_errors.py b/libs/sdk-py/tests/test_errors.py new file mode 100644 index 000000000..9238cb1fd --- /dev/null +++ b/libs/sdk-py/tests/test_errors.py @@ -0,0 +1,108 @@ +from __future__ import annotations + +from typing import cast + +import httpx +import orjson +import pytest + +from langgraph_sdk.errors import ( + APIStatusError, + AuthenticationError, + BadRequestError, + ConflictError, + InternalServerError, + NotFoundError, + PermissionDeniedError, + RateLimitError, + UnprocessableEntityError, + _raise_for_status_typed, +) + + +def make_response( + status: int, + *, + json_body: dict | None = None, + text_body: str | None = None, + headers: dict[str, str] | None = None, +) -> httpx.Response: + request = httpx.Request("GET", "https://example.com/test") + content: bytes | None + if json_body is not None: + content = orjson.dumps(json_body) + elif text_body is not None: + content = text_body.encode() + else: + content = b"" + return httpx.Response( + status, headers=headers or {}, content=content, request=request + ) + + +@pytest.mark.parametrize( + "status,exc_type", + [ + (400, BadRequestError), + (401, AuthenticationError), + (403, PermissionDeniedError), + (404, NotFoundError), + (409, ConflictError), + (422, UnprocessableEntityError), + (429, RateLimitError), + (500, InternalServerError), + (503, InternalServerError), # any 5xx + (418, APIStatusError), # unmapped 4xx falls back to base type + ], +) +def test_raise_for_status_typed_maps_exceptions_and_sets_status_code( + status: int, exc_type: type[APIStatusError] +) -> None: + r = make_response( + status, json_body={"message": "boom", "code": "abc", "param": "p", "type": "t"} + ) + + with pytest.raises(exc_type) as ei: + _raise_for_status_typed(r) + + err = cast(APIStatusError, ei.value) + assert err.status_code == status + # response attribute should be present and match + assert err.response.status_code == status + + +def test_request_id_is_extracted_when_present() -> None: + r = make_response( + 404, json_body={"detail": "missing"}, headers={"x-request-id": "req-123"} + ) + with pytest.raises(NotFoundError) as ei: + _raise_for_status_typed(r) + err = cast(APIStatusError, ei.value) + # request_id only exists on APIStatusError subclasses + assert err.request_id == "req-123" + + +def test_non_json_body_does_not_break_mapping() -> None: + r = make_response(429, text_body="Too many requests") + with pytest.raises(RateLimitError) as ei: + _raise_for_status_typed(r) + err = cast(APIStatusError, ei.value) + assert err.status_code == 429 + + +def test_field_extraction_from_json_body() -> None: + r = make_response( + 400, + json_body={ + "message": "Invalid parameter", + "code": "invalid_param", + "param": "limit", + "type": "invalid_request_error", + }, + ) + with pytest.raises(BadRequestError) as ei: + _raise_for_status_typed(r) + err = cast(APIStatusError, ei.value) + assert err.code == "invalid_param" + assert err.param == "limit" + assert err.type == "invalid_request_error" From 90ac06deb6057fd5d8ce91e2cd3dadc03cdd6248 Mon Sep 17 00:00:00 2001 From: Mason Daugherty Date: Thu, 25 Sep 2025 13:00:21 -0400 Subject: [PATCH 46/54] style(langgraph): docstring code format pass (#6187) --- libs/langgraph/langgraph/config.py | 18 +++++++-- libs/langgraph/langgraph/func/__init__.py | 42 ++++++++++++-------- libs/langgraph/langgraph/graph/message.py | 48 +++++++++++++---------- libs/langgraph/langgraph/graph/state.py | 9 +++++ libs/langgraph/langgraph/graph/ui.py | 2 +- libs/langgraph/langgraph/pregel/main.py | 12 +++--- libs/langgraph/langgraph/types.py | 4 +- 7 files changed, 86 insertions(+), 49 deletions(-) diff --git a/libs/langgraph/langgraph/config.py b/libs/langgraph/langgraph/config.py index 86e50b393..71ebdb131 100644 --- a/libs/langgraph/langgraph/config.py +++ b/libs/langgraph/langgraph/config.py @@ -66,14 +66,17 @@ def get_store() -> BaseStore: store = InMemoryStore() store.put(("values",), "foo", {"bar": 2}) + class State(TypedDict): foo: int + def my_node(state: State): my_store = get_store() stored_value = my_store.get(("values",), "foo").value["bar"] return {"foo": stored_value + 1} + graph = ( StateGraph(State) .add_node(my_node) @@ -85,7 +88,7 @@ def get_store() -> BaseStore: ``` ```pycon - {'foo': 3} + {"foo": 3} ``` Example: Using with functional API @@ -97,16 +100,19 @@ def get_store() -> BaseStore: store = InMemoryStore() store.put(("values",), "foo", {"bar": 2}) + @task def my_task(value: int): my_store = get_store() stored_value = my_store.get(("values",), "foo").value["bar"] return stored_value + 1 + @entrypoint(store=store) def workflow(value: int): return my_task(value).result() + workflow.invoke(1) ``` @@ -134,14 +140,17 @@ def get_stream_writer() -> StreamWriter: from langgraph.graph import StateGraph, START from langgraph.config import get_stream_writer + class State(TypedDict): foo: int + def my_node(state: State): my_stream_writer = get_stream_writer() my_stream_writer({"custom_data": "Hello!"}) return {"foo": state["foo"] + 1} + graph = ( StateGraph(State) .add_node(my_node) @@ -154,7 +163,7 @@ def get_stream_writer() -> StreamWriter: ``` ```pycon - {'custom_data': 'Hello!'} + {"custom_data": "Hello!"} ``` Example: Using with functional API @@ -162,22 +171,25 @@ def get_stream_writer() -> StreamWriter: from langgraph.func import entrypoint, task from langgraph.config import get_stream_writer + @task def my_task(value: int): my_stream_writer = get_stream_writer() my_stream_writer({"custom_data": "Hello!"}) return value + 1 + @entrypoint(store=store) def workflow(value: int): return my_task(value).result() + for chunk in workflow.stream(1, stream_mode="custom"): print(chunk) ``` ```pycon - {'custom_data': 'Hello!'} + {"custom_data": "Hello!"} ``` """ runtime = get_config()[CONF][CONFIG_KEY_RUNTIME] diff --git a/libs/langgraph/langgraph/func/__init__.py b/libs/langgraph/langgraph/func/__init__.py index d94922b40..bd1d8e9a6 100644 --- a/libs/langgraph/langgraph/func/__init__.py +++ b/libs/langgraph/langgraph/func/__init__.py @@ -150,16 +150,19 @@ def task( ```python from langgraph.func import entrypoint, task + @task def add_one(a: int) -> int: return a + 1 + @entrypoint() def add_one(numbers: list[int]) -> list[int]: futures = [add_one(n) for n in numbers] results = [f.result() for f in futures] return results + # Call the entrypoint add_one.invoke([1, 2, 3]) # Returns [2, 3, 4] ``` @@ -169,15 +172,18 @@ def task( import asyncio from langgraph.func import entrypoint, task + @task async def add_one(a: int) -> int: return a + 1 + @entrypoint() async def add_one(numbers: list[int]) -> list[int]: futures = [add_one(n) for n in numbers] return asyncio.gather(*futures) + # Call the entrypoint await add_one.ainvoke([1, 2, 3]) # Returns [2, 3, 4] ``` @@ -342,15 +348,13 @@ class entrypoint(Generic[ContextT]): from langgraph.func import entrypoint + @entrypoint(checkpointer=InMemorySaver()) def my_workflow(input_data: str, previous: Optional[str] = None) -> str: return "world" - config = { - "configurable": { - "thread_id": "some_thread" - } - } + + config = {"configurable": {"thread_id": "some_thread"}} my_workflow.invoke("hello", config) ``` @@ -367,19 +371,21 @@ class entrypoint(Generic[ContextT]): from langgraph.func import entrypoint + @entrypoint(checkpointer=InMemorySaver()) - def my_workflow(number: int, *, previous: Any = None) -> entrypoint.final[int, int]: + def my_workflow( + number: int, + *, + previous: Any = None, + ) -> entrypoint.final[int, int]: previous = previous or 0 # This will return the previous value to the caller, saving # 2 * number to the checkpoint, which will be used in the next invocation # for the `previous` parameter. return entrypoint.final(value=previous, save=2 * number) - config = { - "configurable": { - "thread_id": "some_thread" - } - } + + config = {"configurable": {"thread_id": "some_thread"}} my_workflow.invoke(3, config) # 0 (previous was None) my_workflow.invoke(1, config) # 6 (previous was 3 * 2 from the previous invocation) @@ -434,19 +440,21 @@ class entrypoint(Generic[ContextT]): from langgraph.checkpoint.memory import InMemorySaver from langgraph.func import entrypoint + @entrypoint(checkpointer=InMemorySaver()) - def my_workflow(number: int, *, previous: Any = None) -> entrypoint.final[int, int]: + def my_workflow( + number: int, + *, + previous: Any = None, + ) -> entrypoint.final[int, int]: previous = previous or 0 # This will return the previous value to the caller, saving # 2 * number to the checkpoint, which will be used in the next invocation # for the `previous` parameter. return entrypoint.final(value=previous, save=2 * number) - config = { - "configurable": { - "thread_id": "1" - } - } + + config = {"configurable": {"thread_id": "1"}} my_workflow.invoke(3, config) # 0 (previous was None) my_workflow.invoke(1, config) # 6 (previous was 3 * 2 from the previous invocation) diff --git a/libs/langgraph/langgraph/graph/message.py b/libs/langgraph/langgraph/graph/message.py index 9070aaa69..9afa151c0 100644 --- a/libs/langgraph/langgraph/graph/message.py +++ b/libs/langgraph/langgraph/graph/message.py @@ -92,6 +92,7 @@ def add_messages( Example: ```python title="Basic usage" from langchain_core.messages import AIMessage, HumanMessage + msgs1 = [HumanMessage(content="Hello", id="1")] msgs2 = [AIMessage(content="Hi there!", id="2")] add_messages(msgs1, msgs2) @@ -110,9 +111,11 @@ def add_messages( from typing_extensions import TypedDict from langgraph.graph import StateGraph + class State(TypedDict): messages: Annotated[list, add_messages] + builder = StateGraph(State) builder.add_node("chatbot", lambda state: {"messages": [("assistant", "Hello")]}) builder.set_entry_point("chatbot") @@ -127,30 +130,35 @@ def add_messages( from typing_extensions import TypedDict from langgraph.graph import StateGraph, add_messages + class State(TypedDict): - messages: Annotated[list, add_messages(format='langchain-openai')] + messages: Annotated[list, add_messages(format="langchain-openai")] + def chatbot_node(state: State) -> list: - return {"messages": [ - { - "role": "user", - "content": [ - { - "type": "text", - "text": "Here's an image:", - "cache_control": {"type": "ephemeral"}, - }, - { - "type": "image", - "source": { - "type": "base64", - "media_type": "image/jpeg", - "data": "1234", + return { + "messages": [ + { + "role": "user", + "content": [ + { + "type": "text", + "text": "Here's an image:", + "cache_control": {"type": "ephemeral"}, }, - }, - ] - }, - ]} + { + "type": "image", + "source": { + "type": "base64", + "media_type": "image/jpeg", + "data": "1234", + }, + }, + ], + }, + ] + } + builder = StateGraph(State) builder.add_node("chatbot", chatbot_node) diff --git a/libs/langgraph/langgraph/graph/state.py b/libs/langgraph/langgraph/graph/state.py index c6be1109c..6abdf70ec 100644 --- a/libs/langgraph/langgraph/graph/state.py +++ b/libs/langgraph/langgraph/graph/state.py @@ -141,25 +141,31 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]): from langgraph.graph import StateGraph from langgraph.runtime import Runtime + def reducer(a: list, b: int | None) -> list: if b is not None: return a + [b] return a + class State(TypedDict): x: Annotated[list, reducer] + class Context(TypedDict): r: float + graph = StateGraph(state_schema=State, context_schema=Context) + def node(state: State, runtime: Runtime[Context]) -> dict: r = runtime.context.get("r", 1.0) x = state["x"][-1] next_value = x * r * (1 - x) return {"x": next_value} + graph.add_node("A", node) graph.set_entry_point("A") graph.set_finish_point("A") @@ -385,12 +391,15 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]): from langchain_core.runnables import RunnableConfig from langgraph.graph import START, StateGraph + class State(TypedDict): x: int + def my_node(state: State, config: RunnableConfig) -> State: return {"x": state["x"] + 1} + builder = StateGraph(State) builder.add_node(my_node) # node name will be 'my_node' builder.add_edge(START, "my_node") diff --git a/libs/langgraph/langgraph/graph/ui.py b/libs/langgraph/langgraph/graph/ui.py index 5eb10e532..3d2229968 100644 --- a/libs/langgraph/langgraph/graph/ui.py +++ b/libs/langgraph/langgraph/graph/ui.py @@ -188,7 +188,7 @@ def ui_message_reducer( messages = ui_message_reducer( [{"type": "ui", "id": "1", "name": "Chat", "props": {}}], - {"type": "remove-ui", "id": "1"} + {"type": "remove-ui", "id": "1"}, ) """ diff --git a/libs/langgraph/langgraph/pregel/main.py b/libs/langgraph/langgraph/pregel/main.py index 2e3fdd926..7ccbf54e7 100644 --- a/libs/langgraph/langgraph/pregel/main.py +++ b/libs/langgraph/langgraph/pregel/main.py @@ -386,7 +386,7 @@ class Pregel( However, for **advanced** use cases, Pregel can be used directly. If you're not sure whether you need to use Pregel directly, then the answer is probably no - – you should use the Graph API or Functional API instead. These are higher-level + - you should use the Graph API or Functional API instead. These are higher-level interfaces that will compile down to Pregel under the hood. Here are some examples to give you a sense of how it works: @@ -488,7 +488,7 @@ class Pregel( ``` ```pycon - {'c': ['foofoo', 'foofoofoofoo']} + {"c": ["foofoo", "foofoofoofoo"]} ``` Example: Using a BinaryOperatorAggregate channel @@ -516,6 +516,7 @@ class Pregel( else: return update + app = Pregel( nodes={"node1": node1, "node2": node2}, channels={ @@ -524,7 +525,7 @@ class Pregel( "c": BinaryOperatorAggregate(str, operator=reducer), }, input_channels=["a"], - output_channels=["c"] + output_channels=["c"], ) app.invoke({"a": "foo"}) @@ -544,7 +545,8 @@ class Pregel( from langgraph.pregel import Pregel, NodeBuilder, ChannelWriteEntry example_node = ( - NodeBuilder().subscribe_only("value") + NodeBuilder() + .subscribe_only("value") .do(lambda x: x + x if len(x) < 10 else None) .write_to(ChannelWriteEntry(channel="value", skip_none=True)) ) @@ -555,7 +557,7 @@ class Pregel( "value": EphemeralValue(str), }, input_channels=["value"], - output_channels=["value"] + output_channels=["value"], ) app.invoke({"value": "a"}) diff --git a/libs/langgraph/langgraph/types.py b/libs/langgraph/langgraph/types.py index 76e81860b..330dc3639 100644 --- a/libs/langgraph/langgraph/types.py +++ b/libs/langgraph/langgraph/types.py @@ -296,12 +296,10 @@ class Send: >>> class OverallState(TypedDict): ... subjects: list[str] ... jokes: Annotated[list[str], operator.add] - ... >>> from langgraph.types import Send >>> from langgraph.graph import END, START >>> def continue_to_jokes(state: OverallState): - ... return [Send("generate_joke", {"subject": s}) for s in state['subjects']] - ... + ... return [Send("generate_joke", {"subject": s}) for s in state["subjects"]] >>> from langgraph.graph import StateGraph >>> builder = StateGraph(OverallState) >>> builder.add_node("generate_joke", lambda state: {"jokes": [f"Joke about {state['subject']}"]}) From 4101aebeeaa424634b1326ae286d510ad5eb57e8 Mon Sep 17 00:00:00 2001 From: Mason Daugherty Date: Thu, 25 Sep 2025 13:07:00 -0400 Subject: [PATCH 47/54] chore(langgraph): clean up ruff format config (#6188) Each of the settings present are already defaults in the ruff config: https://docs.astral.sh/ruff/settings/ --- docs/README.md | 147 +++++++++++++++++++++++++++++++--- libs/langgraph/pyproject.toml | 8 -- 2 files changed, 137 insertions(+), 18 deletions(-) diff --git a/docs/README.md b/docs/README.md index 369f196a2..31a2c89c7 100644 --- a/docs/README.md +++ b/docs/README.md @@ -1,24 +1,150 @@ -# Setup +# LangGraph Documentation -To setup requirements for building docs you can run: +For more information on contributing to our documentation, see the [Contributing Guide](../CONTRIBUTING.md). -```bash -uv sync --group test +## Structure + +The primary documentation is located in the `docs/` directory. This directory contains both the source files for the main documentation as well as the API reference doc build process. + +### Main Documentation + +Main documentation files are located in `docs/docs/` and are written in Markdown format. The site uses [**MkDocs**](https://www.mkdocs.org/) with the [Material theme](https://squidfunk.github.io/mkdocs-material/) and includes: + +- **Concepts**: Core LangGraph concepts and explanations +- **Tutorials**: Step-by-step learning guides +- **How-tos**: Task-focused guides for specific use cases +- **Examples**: Real-world applications and use cases +- **Jupyter Notebooks**: Interactive tutorials that are automatically converted to markdown + +### API Reference + +API reference documentation is located in `docs/docs/reference/` and is generated from docstrings in the codebase using the **mkdocstrings** plugin. + +The API reference uses manual directives in markdown files that specify which classes/functions to document: + +```markdown +::: langgraph.graph.state.StateGraph + options: + members: + - add_node + - compile ``` -## Serving documentation locally +#### Build Process -To run the documentation server locally you can run: +The build process follows these steps: + +1. **Content Processing Phase:** + - `_scripts/notebook_hooks.py` - Main processing pipeline that: + - Converts Jupyter notebooks to markdown using `notebook_convert.py` + - Adds automatic API reference links to code blocks using `generate_api_reference_links.py` + - Handles conditional rendering for Python/JS versions + - Processes highlight comments and custom syntax + +2. **API Reference Generation:** + - **mkdocstrings** plugin extracts docstrings from Python source code + - Manual `::: module.Class` directives in reference pages specify what to document + - Cross-references are automatically generated between docs and API + +3. **Site Generation:** + - **MkDocs** processes all markdown files and generates static HTML + - Custom hooks handle redirects and inject additional functionality + +4. **Deployment:** + - Site is deployed with Vercel + - `make build-docs` generates production build (also usable for local testing) + - Automatic redirects handle URL changes between versions + +#### Local Development + +For local development, use the Makefile targets: ```bash +# Serve docs locally with hot reloading make serve-docs + +# Clean build for production testing +make build-docs + +# Serve with clean build +make serve-clean-docs ``` -This will start the documentation server on [http://127.0.0.1:8000/langgraph/](http://127.0.0.1:8000/langgraph/). +The `serve-docs` command: + +- Watches source files for changes +- Includes dirty builds for faster iteration +- Serves on [http://127.0.0.1:8000/langgraph/](http://127.0.0.1:8000/langgraph/) + +#### Documentation Standards + +**Docstring Format:** +The API reference uses **Google-style docstrings** with Markdown markup. The `mkdocstrings` plugin processes these to generate documentation. + +**Required format:** + +```python +def example_function(param1: str, param2: int = 5) -> bool: + """Brief description of the function. + + Longer description can go here. Use Markdown syntax for + rich formatting like **bold** and *italic*. + + Args: + param1: Description of the first parameter. + param2: Description of the second parameter with default value. + + Returns: + Description of the return value. + + Raises: + ValueError: When param1 is empty. + TypeError: When param2 is not an integer. + + !!! warning + This function is experimental and may change. + + !!! version-added "Added in version 0.2.0" + """ +``` + +**Special Markers:** + +- **MkDocs admonitions**: `!!! warning`, `!!! note`, `!!! version-added` +- **Code blocks**: Standard markdown ``` syntax +- **Cross-references**: Automatic linking via `generate_api_reference_links.py` + +#### Site Styling and Assets + +**Theme and Styling:** + +- Uses [**Material for MkDocs**](https://squidfunk.github.io/mkdocs-material/) theme +- Custom CSS in `docs/stylesheets/` for LangGraph-specific styling: + - Brand colors and typography + - Custom navigation components + - Version admonitions and agent graph widgets + +**Static Assets:** + +- Logos and favicon in `docs/static/` +- Custom stylesheets in `docs/stylesheets/` + +**Content Processing:** + +- Automatic API reference link generation for code examples +- Jupyter notebook execution with VCR cassettes for reproducible builds +- Conditional rendering for multi-language support +- Extensive redirect mapping for URL stability + +**Analytics and Integration:** + +- Google Tag Manager integration via custom hooks +- GitHub integration (edit buttons, source links) +- Automatic cross-referencing between documentation sections ## Execute notebooks -If you would like to automatically execute all of the notebooks, to mimic the "Run notebooks" GHA, you can run: +If you would like to automatically execute all of the notebooks, to mimic the "Run notebooks" GitHub action, you can run: ```bash python _scripts/prepare_notebooks_for_ci.py @@ -33,8 +159,9 @@ python _scripts/prepare_notebooks_for_ci.py --comment-install-cells ``` `prepare_notebooks_for_ci.py` script will add VCR cassette context manager for each cell in the notebook, so that: -* when the notebook is run for the first time, cells with network requests will be recorded to a VCR cassette file -* when the notebook is run subsequently, the cells with network requests will be replayed from the cassettes + +- when the notebook is run for the first time, cells with network requests will be recorded to a VCR cassette file +- when the notebook is run subsequently, the cells with network requests will be replayed from the cassettes ## Adding new notebooks diff --git a/libs/langgraph/pyproject.toml b/libs/langgraph/pyproject.toml index b575ad754..178e2b56a 100644 --- a/libs/langgraph/pyproject.toml +++ b/libs/langgraph/pyproject.toml @@ -74,14 +74,6 @@ target-version = "py39" [tool.ruff.lint.per-file-ignores] "tests/bench/*" = ["UP006", "UP007"] -[tool.ruff.format] -quote-style = "double" -indent-style = "space" -skip-magic-trailing-comma = false -line-ending = "auto" -docstring-code-format = false -docstring-code-line-length = "dynamic" - [tool.ruff.lint.flake8-tidy-imports.banned-api] "typing.TypedDict".msg = "Use typing_extensions.TypedDict instead." From 26c68aa528c39af01ec8cf6f2966b65be11d3798 Mon Sep 17 00:00:00 2001 From: Mason Daugherty Date: Thu, 25 Sep 2025 13:31:27 -0400 Subject: [PATCH 48/54] docs: update `README` and scripts for improved clarity (#6197) --- docs/README.md | 52 +++++-------------- docs/_scripts/generate_api_reference_links.py | 16 +++++- docs/_scripts/notebook_convert.py | 2 + docs/pyproject.toml | 8 +-- docs/uv.lock | 9 ++-- 5 files changed, 39 insertions(+), 48 deletions(-) diff --git a/docs/README.md b/docs/README.md index 31a2c89c7..ddbef9d0b 100644 --- a/docs/README.md +++ b/docs/README.md @@ -18,32 +18,36 @@ Main documentation files are located in `docs/docs/` and are written in Markdown ### API Reference -API reference documentation is located in `docs/docs/reference/` and is generated from docstrings in the codebase using the **mkdocstrings** plugin. - -The API reference uses manual directives in markdown files that specify which classes/functions to document: +API reference documentation is defined in `docs/docs/reference/`. Each `.md` file outlines the "template" that each page is built from. Reference content is automatically generated from docstrings in the codebase using the **mkdocstrings** plugin. Once generated, the content is plugged into the corresponding markdown file where it is referenced by using manual directives to specify which classes and/or functions are documented: ```markdown ::: langgraph.graph.state.StateGraph options: + show_if_no_docstring: true + show_root_heading: true + show_root_full_path: false members: - add_node + - add_edge + - add_conditional_edges + - add_sequence - compile ``` -#### Build Process +## Build Process -The build process follows these steps: +Docs are built following these steps: -1. **Content Processing Phase:** +1. **Content Processing:** - `_scripts/notebook_hooks.py` - Main processing pipeline that: - - Converts Jupyter notebooks to markdown using `notebook_convert.py` + - Converts how-tos/tutorial Jupyter notebooks to markdown using `notebook_convert.py` - Adds automatic API reference links to code blocks using `generate_api_reference_links.py` - Handles conditional rendering for Python/JS versions - Processes highlight comments and custom syntax 2. **API Reference Generation:** - **mkdocstrings** plugin extracts docstrings from Python source code - - Manual `::: module.Class` directives in reference pages specify what to document + - Manual `::: module.Class` directives in reference pages (`/docs/docs/*`) specify what to document - Cross-references are automatically generated between docs and API 3. **Site Generation:** @@ -55,7 +59,7 @@ The build process follows these steps: - `make build-docs` generates production build (also usable for local testing) - Automatic redirects handle URL changes between versions -#### Local Development +### Local Development For local development, use the Makefile targets: @@ -76,7 +80,7 @@ The `serve-docs` command: - Includes dirty builds for faster iteration - Serves on [http://127.0.0.1:8000/langgraph/](http://127.0.0.1:8000/langgraph/) -#### Documentation Standards +## Standards **Docstring Format:** The API reference uses **Google-style docstrings** with Markdown markup. The `mkdocstrings` plugin processes these to generate documentation. @@ -114,34 +118,6 @@ def example_function(param1: str, param2: int = 5) -> bool: - **Code blocks**: Standard markdown ``` syntax - **Cross-references**: Automatic linking via `generate_api_reference_links.py` -#### Site Styling and Assets - -**Theme and Styling:** - -- Uses [**Material for MkDocs**](https://squidfunk.github.io/mkdocs-material/) theme -- Custom CSS in `docs/stylesheets/` for LangGraph-specific styling: - - Brand colors and typography - - Custom navigation components - - Version admonitions and agent graph widgets - -**Static Assets:** - -- Logos and favicon in `docs/static/` -- Custom stylesheets in `docs/stylesheets/` - -**Content Processing:** - -- Automatic API reference link generation for code examples -- Jupyter notebook execution with VCR cassettes for reproducible builds -- Conditional rendering for multi-language support -- Extensive redirect mapping for URL stability - -**Analytics and Integration:** - -- Google Tag Manager integration via custom hooks -- GitHub integration (edit buttons, source links) -- Automatic cross-referencing between documentation sections - ## Execute notebooks If you would like to automatically execute all of the notebooks, to mimic the "Run notebooks" GitHub action, you can run: diff --git a/docs/_scripts/generate_api_reference_links.py b/docs/_scripts/generate_api_reference_links.py index 1d65516dd..89d614bd5 100644 --- a/docs/_scripts/generate_api_reference_links.py +++ b/docs/_scripts/generate_api_reference_links.py @@ -1,3 +1,5 @@ +"""Generate API reference links for imports in Python code blocks within markdown files.""" + import ast import importlib import logging @@ -70,8 +72,18 @@ MANUAL_API_REFERENCES_LANGGRAPH = [ ([], "langgraph.checkpoint.postgres.aio", "AsyncPostgresSaver", "checkpoints"), ([], "langgraph.checkpoint.postgres", "PostgresSaver", "checkpoints"), # other prebuilts - (["langgraph_supervisor"], "langgraph_supervisor.supervisor", "create_supervisor", "supervisor"), - (["langgraph_supervisor"], "langgraph_supervisor.handoff", "create_handoff_tool", "supervisor"), + ( + ["langgraph_supervisor"], + "langgraph_supervisor.supervisor", + "create_supervisor", + "supervisor", + ), + ( + ["langgraph_supervisor"], + "langgraph_supervisor.handoff", + "create_handoff_tool", + "supervisor", + ), ([], "langgraph_supervisor.handoff", "create_forward_message_tool", "supervisor"), (["langgraph_swarm"], "langgraph_swarm.swarm", "create_swarm", "swarm"), (["langgraph_swarm"], "langgraph_swarm.swarm", "add_active_agent_router", "swarm"), diff --git a/docs/_scripts/notebook_convert.py b/docs/_scripts/notebook_convert.py index 41c74f194..1ec3fcec5 100644 --- a/docs/_scripts/notebook_convert.py +++ b/docs/_scripts/notebook_convert.py @@ -1,3 +1,5 @@ +"""Convert Jupyter notebooks to markdown with custom processing.""" + import ast import os import re diff --git a/docs/pyproject.toml b/docs/pyproject.toml index 72ef5cd1f..7650912db 100644 --- a/docs/pyproject.toml +++ b/docs/pyproject.toml @@ -7,14 +7,14 @@ name = "langgraph-docs" version = "0.0.1" description = "LangGraph docs" authors = [] -requires-python = "~=3.11" +requires-python = ">=3.11.0,<4.0.0" readme = "README.md" license = "MIT" dependencies = [ "aiohappyeyeballs==2.4.3", - "hub>=3.0.1,<4", - "xxhash>=3.5.0,<4", - "black>=25.1.0,<26", + "hub>=3.0.1,<4.0.0", + "xxhash>=3.5.0,<4.0.0", + "black>=25.1.0,<26.0.0", ] [dependency-groups] diff --git a/docs/uv.lock b/docs/uv.lock index 51e596320..000861f33 100644 --- a/docs/uv.lock +++ b/docs/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 2 +revision = 3 requires-python = ">=3.11, <4" resolution-markers = [ "python_full_version >= '3.13' and platform_python_implementation != 'PyPy'", @@ -2337,7 +2337,7 @@ wheels = [ [[package]] name = "langgraph" -version = "0.6.2" +version = "0.6.7" source = { editable = "../libs/langgraph" } dependencies = [ { name = "langchain-core" }, @@ -2380,6 +2380,7 @@ dev = [ { name = "pytest-repeat" }, { name = "pytest-watcher" }, { name = "pytest-xdist", extras = ["psutil"] }, + { name = "redis" }, { name = "ruff" }, { name = "syrupy" }, { name = "types-requests" }, @@ -2413,6 +2414,7 @@ dev = [ { name = "pytest-asyncio" }, { name = "pytest-mock" }, { name = "pytest-watcher" }, + { name = "redis" }, { name = "ruff" }, ] @@ -2643,7 +2645,7 @@ test = [ [[package]] name = "langgraph-prebuilt" -version = "0.6.2" +version = "0.6.4" source = { editable = "../libs/prebuilt" } dependencies = [ { name = "langchain-core" }, @@ -2674,7 +2676,6 @@ dev = [ [[package]] name = "langgraph-sdk" -version = "0.2.0" source = { editable = "../libs/sdk-py" } dependencies = [ { name = "httpx" }, From ea0aebaa2e09131b5ed20b032b34a8919550690f Mon Sep 17 00:00:00 2001 From: "Parker J. Rule" Date: Thu, 25 Sep 2025 15:58:35 -0400 Subject: [PATCH 49/54] chore(sdk-py): refine FilterType, add subset containment to $contains docs (#6200) The `$contains` auth operator supports subset containment checks, but this has previously been undocumented. This updates `FilterType` and its associated docstring to reflect this support. --- libs/sdk-py/langgraph_sdk/auth/types.py | 26 ++++++++++++++++++++----- 1 file changed, 21 insertions(+), 5 deletions(-) diff --git a/libs/sdk-py/langgraph_sdk/auth/types.py b/libs/sdk-py/langgraph_sdk/auth/types.py index 4a7912ea3..097af5a2a 100644 --- a/libs/sdk-py/langgraph_sdk/auth/types.py +++ b/libs/sdk-py/langgraph_sdk/auth/types.py @@ -58,7 +58,14 @@ Values: """ FilterType = typing.Union[ - dict[str, typing.Union[str, dict[typing.Literal["$eq", "$contains"], str]]], + dict[ + str, + typing.Union[ + str, + dict[typing.Literal["$eq", "$contains"], str], + dict[typing.Literal["$contains"], list[str]], + ], + ], dict[str, str], ] """Response type for authorization handlers. @@ -66,24 +73,33 @@ FilterType = typing.Union[ Supports exact matches and operators: - Exact match shorthand: {"field": "value"} - Exact match: {"field": {"$eq": "value"}} - - Contains: {"field": {"$contains": "value"}} + - Contains (membership): {"field": {"$contains": "value"}} + - Contains (subset containment): {"field": {"$contains": ["value1", "value2"]}} + +Subset containment is only supported by newer versions of the LangGraph dev server; +install langgraph-runtime-inmem >= 0.14.1 to use this filter variant. ???+ example "Examples" Simple exact match filter for the resource owner: ```python filter = {"owner": "user-abcd123"} ``` - + Explicit version of the exact match filter: ```python filter = {"owner": {"$eq": "user-abcd123"}} ``` - - Containment: + + Containment (membership of a single element): ```python filter = {"participants": {"$contains": "user-abcd123"}} ``` + Containment (subset containment; all values must be present, but order doesn't matter): + ```python + filter = {"participants": {"$contains": ["user-abcd123", "user-efgh456"]}} + ``` + Combining filters (treated as a logical `AND`): ```python filter = {"owner": "user-abcd123", "participants": {"$contains": "user-efgh456"}} From b0a25f2794560e0ec5a7114b2c7d9dc90bd72fb1 Mon Sep 17 00:00:00 2001 From: "Parker J. Rule" Date: Thu, 25 Sep 2025 17:17:33 -0400 Subject: [PATCH 50/54] feat(cli): add flag in HttpConfig for auth on custom routes (#6193) We currently only support auth on the default routes; we'd like to be able to support it on all (non-meta/liveness probe) routes by default. This is the first step in that direction. --- libs/cli/langgraph_cli/config.py | 8 ++++++++ libs/cli/schemas/schema.json | 4 ++++ libs/cli/schemas/schema.v0.json | 4 ++++ 3 files changed, 16 insertions(+) diff --git a/libs/cli/langgraph_cli/config.py b/libs/cli/langgraph_cli/config.py index 3b47788eb..022e99e18 100644 --- a/libs/cli/langgraph_cli/config.py +++ b/libs/cli/langgraph_cli/config.py @@ -371,6 +371,14 @@ class HttpConfig(TypedDict, total=False): Default is `middleware_first`. """ + enable_custom_route_auth: bool + """Optional. If True, authentication is enabled for custom routes, + not just the routes that are protected by default. + (Routes protected by default include /assistants, /threads, and /runs). + + Default is False. This flag only affects authentication behavior + if `app` is provided and contains custom routes. + """ class Config(TypedDict, total=False): diff --git a/libs/cli/schemas/schema.json b/libs/cli/schemas/schema.json index 03fe74ee8..1dc83c607 100644 --- a/libs/cli/schemas/schema.json +++ b/libs/cli/schemas/schema.json @@ -577,6 +577,10 @@ "type": "boolean", "description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n" }, + "enable_custom_route_auth": { + "type": "boolean", + "description": "Optional. If True, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n" + }, "logging_headers": { "anyOf": [ { diff --git a/libs/cli/schemas/schema.v0.json b/libs/cli/schemas/schema.v0.json index 03fe74ee8..1dc83c607 100644 --- a/libs/cli/schemas/schema.v0.json +++ b/libs/cli/schemas/schema.v0.json @@ -577,6 +577,10 @@ "type": "boolean", "description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n" }, + "enable_custom_route_auth": { + "type": "boolean", + "description": "Optional. If True, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n" + }, "logging_headers": { "anyOf": [ { From 20ddb2b8b48be172a64a153513a5b370dace3c19 Mon Sep 17 00:00:00 2001 From: "Parker J. Rule" Date: Thu, 25 Sep 2025 18:30:19 -0400 Subject: [PATCH 51/54] fix(langgraph): `CheckpointTask.state` can be a `StateSnapshot` (#6201) This adds `StateSnapshot` to the union type annotation of `CheckpointTask.state`. The annotation was previously incomplete: `map_debug_checkpoint()` generates `CheckpointPayload` objects from `PregelTask` objects, and the `state` field in `PregelTask` is of type `None | RunnableConfig | StateSnapshot`. --- libs/langgraph/langgraph/pregel/debug.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/langgraph/langgraph/pregel/debug.py b/libs/langgraph/langgraph/pregel/debug.py index 1591431d7..507fd587a 100644 --- a/libs/langgraph/langgraph/pregel/debug.py +++ b/libs/langgraph/langgraph/pregel/debug.py @@ -48,7 +48,7 @@ class CheckpointTask(TypedDict): name: str error: str | None interrupts: list[dict] - state: RunnableConfig | None + state: StateSnapshot | RunnableConfig | None class CheckpointPayload(TypedDict): From 36179ab1d255e7f5c751984218f0131db0fbf6fe Mon Sep 17 00:00:00 2001 From: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> Date: Fri, 26 Sep 2025 17:22:24 -0400 Subject: [PATCH 52/54] fix(langgraph): handle multiple annotations w/ `BaseChannel` detection (#6210) This PR ensures that even if a type has multiple annotations, we can still detect the `BaseChannel` subclasses attached. ```py class State(TypedDict): # recognized as EphemeralValue(int) foo: Annotated[int, EphemeralValue] # now recognized as EphemeralValue(int) bar: Annotated[int, EphemeralValue, OtherMetadata] # now recognized as EphemeralValue(int) baz: Annotated[int, SomeMetadata, EphemeralValue, OtherMetadata] ``` --- libs/langgraph/langgraph/graph/state.py | 12 +++++--- libs/langgraph/tests/test_state.py | 40 +++++++++++++++++++++++-- 2 files changed, 46 insertions(+), 6 deletions(-) diff --git a/libs/langgraph/langgraph/graph/state.py b/libs/langgraph/langgraph/graph/state.py index 6abdf70ec..ad5c1fc8b 100644 --- a/libs/langgraph/langgraph/graph/state.py +++ b/libs/langgraph/langgraph/graph/state.py @@ -1369,10 +1369,14 @@ def _get_channel( def _is_field_channel(typ: type[Any]) -> BaseChannel | None: if hasattr(typ, "__metadata__"): meta = typ.__metadata__ - if len(meta) >= 1 and isinstance(meta[-1], BaseChannel): - return meta[-1] - elif len(meta) >= 1 and isclass(meta[-1]) and issubclass(meta[-1], BaseChannel): - return meta[-1](typ.__origin__ if hasattr(typ, "__origin__") else typ) + # Search through all annotated medata to find channel annotations + for item in meta: + if isinstance(item, BaseChannel): + return item + elif isclass(item) and issubclass(item, BaseChannel): + # ex, Annotated[int, EphemeralValue, SomeOtherAnnotation] + # would return EphemeralValue(int) + return item(typ.__origin__ if hasattr(typ, "__origin__") else typ) return None diff --git a/libs/langgraph/tests/test_state.py b/libs/langgraph/tests/test_state.py index 67988ef09..6b484383c 100644 --- a/libs/langgraph/tests/test_state.py +++ b/libs/langgraph/tests/test_state.py @@ -2,7 +2,7 @@ import inspect import operator import warnings from dataclasses import dataclass, field -from typing import Annotated, Any, Optional +from typing import Annotated, Any, Optional, Union from typing import Annotated as Annotated2 import pytest @@ -11,7 +11,13 @@ from pydantic import BaseModel from typing_extensions import NotRequired, Required, TypedDict from langgraph.channels.binop import BinaryOperatorAggregate -from langgraph.graph.state import StateGraph, _get_node_name, _warn_invalid_state_schema +from langgraph.channels.ephemeral_value import EphemeralValue +from langgraph.graph.state import ( + StateGraph, + _get_node_name, + _is_field_channel, + _warn_invalid_state_schema, +) class State(BaseModel): @@ -335,3 +341,33 @@ def test_private_input_schema_conditional_edge(): builder.add_edge("__start__", "node_1") graph = builder.compile() assert graph.invoke({"foo": 0}) == {"foo": 2, "bar": "meow"} + + +def test_is_field_channel() -> None: + """Test channel detection across all scenarios.""" + # Basic detection + result = _is_field_channel(Annotated[int, EphemeralValue]) + assert isinstance(result, EphemeralValue) and result.typ is int + + # Main fix: handles extraneous annotations + result = _is_field_channel(Annotated[str, "metadata", EphemeralValue, "more"]) + assert isinstance(result, EphemeralValue) and result.typ is str + + # Complex types work + union_type = Union[int, str] + result = _is_field_channel(Annotated[union_type, EphemeralValue]) + assert isinstance(result, EphemeralValue) and result.typ is union_type + + # Pre-instantiated channels + instantiated = EphemeralValue(int) + result = _is_field_channel(Annotated[int, instantiated]) + assert result is instantiated + + # Pre-instantiated channels with multiple annotations + instantiated = EphemeralValue(int) + result = _is_field_channel(Annotated[int, "metadata", instantiated, "more"]) + assert result is instantiated + + # No channel cases + assert _is_field_channel(int) is None + assert _is_field_channel(Annotated[int, "just_metadata"]) is None From 4a0b2fa0efdecf11bea336b3f843448a3af8a85d Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 29 Sep 2025 09:07:51 +0000 Subject: [PATCH 53/54] chore(deps): upgrade dependencies with `uv lock --upgrade` (#6211) This PR updates the dependencies in all Python packages using `uv lock --upgrade`. This is an automated PR created by the UV Lock Upgrade workflow. 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<54324534+sydney-runkle@users.noreply.github.com> Date: Mon, 29 Sep 2025 05:16:43 -0400 Subject: [PATCH 54/54] release(langgraph): 0.6.8 (#6215) --- libs/langgraph/pyproject.toml | 2 +- libs/langgraph/uv.lock | 4 ++-- libs/prebuilt/uv.lock | 4 ++-- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/libs/langgraph/pyproject.toml b/libs/langgraph/pyproject.toml index 178e2b56a..681f0e716 100644 --- a/libs/langgraph/pyproject.toml +++ b/libs/langgraph/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "hatchling.build" [project] name = "langgraph" -version = "0.6.7" +version = "0.6.8" description = "Building stateful, multi-actor applications with LLMs" authors = [] requires-python = ">=3.9" diff --git a/libs/langgraph/uv.lock b/libs/langgraph/uv.lock index 4aedbf135..482799695 100644 --- a/libs/langgraph/uv.lock +++ b/libs/langgraph/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 3 +revision = 2 requires-python = ">=3.9" resolution-markers = [ "python_full_version >= '3.14'", @@ -1428,7 +1428,7 @@ wheels = [ [[package]] name = "langgraph" -version = "0.6.7" +version = "0.6.8" source = { editable = "." } dependencies = [ { name = "langchain-core" }, diff --git a/libs/prebuilt/uv.lock b/libs/prebuilt/uv.lock index a8d17ad2e..cfe4e844e 100644 --- a/libs/prebuilt/uv.lock +++ b/libs/prebuilt/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 3 +revision = 2 requires-python = ">=3.9" [[package]] @@ -257,7 +257,7 @@ wheels = [ [[package]] name = "langgraph" -version = "0.6.7" +version = "0.6.8" source = { editable = "../langgraph" } dependencies = [ { name = "langchain-core" },