Update dependencies sweep

.semversioner/next-release/patch-20261012010114209801.json

@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Update dependencies."
+}

packages/graphrag-input/pyproject.toml

@@ -33,7 +33,7 @@ dependencies = [
     "graphrag-common==3.3.0",
     "graphrag-storage==3.3.0",
     "pydantic~=2.13",
-    "markitdown[pdf]~=0.1.7",
+    "markitdown[pdf]~=0.1.8",
     "pyarrow>=14.0.0"
 ]
 

packages/graphrag-llm/graphrag_llm/completion/completion.py

@@ -10,7 +10,7 @@
 from graphrag_llm.threading.completion_thread_runner import completion_thread_runner
 
 if TYPE_CHECKING:
-    from collections.abc import AsyncIterator, Iterator
+    from collections.abc import AsyncIterator, Generator, Iterator
 
     from graphrag_cache import Cache, CacheKeyCreator
 
@@ -167,7 +167,7 @@ def completion_thread_pool(
         response_handler: "ThreadedLLMCompletionResponseHandler",
         concurrency: int,
         queue_limit: int = 0,
-    ) -> "Iterator[ThreadedLLMCompletionFunction]":
+    ) -> "Generator[ThreadedLLMCompletionFunction, None, None]":
         """Run a completion thread pool.
 
         Args

packages/graphrag-llm/graphrag_llm/embedding/embedding.py

@@ -10,7 +10,7 @@
 from graphrag_llm.threading.embedding_thread_runner import embedding_thread_runner
 
 if TYPE_CHECKING:
-    from collections.abc import Iterator
+    from collections.abc import Generator
 
     from graphrag_cache import Cache, CacheKeyCreator
 
@@ -93,7 +93,7 @@ def embedding_thread_pool(
         response_handler: "ThreadedLLMEmbeddingResponseHandler",
         concurrency: int,
         queue_limit: int = 0,
-    ) -> "Iterator[ThreadedLLMEmbeddingFunction]":
+    ) -> "Generator[ThreadedLLMEmbeddingFunction, None, None]":
         """Run an embedding thread pool.
 
         Args

packages/graphrag-llm/graphrag_llm/rate_limit/sliding_window_rate_limiter.py

@@ -6,7 +6,7 @@
 import threading
 import time
 from collections import deque
-from collections.abc import Iterator
+from collections.abc import Generator
 from contextlib import contextmanager
 from typing import Any
 
@@ -62,7 +62,7 @@ def __init__(
             self._stagger = self._period_in_seconds / self._rpp
 
     @contextmanager
-    def acquire(self, token_count: int) -> Iterator[None]:
+    def acquire(self, token_count: int) -> Generator[None, None, None]:
         """
         Acquire Rate Limiter.
 

packages/graphrag-llm/graphrag_llm/threading/completion_thread_runner.py

@@ -7,7 +7,7 @@
 import sys
 import threading
 import time
-from collections.abc import Awaitable, Iterator
+from collections.abc import Awaitable, Generator, Iterator
 from contextlib import contextmanager
 from queue import Empty, Queue
 from typing import TYPE_CHECKING, Protocol, Unpack, runtime_checkable
@@ -147,7 +147,7 @@ def completion_thread_runner(
     concurrency: int,
     queue_limit: int = 0,
     metrics_store: "MetricsStore | None" = None,
-) -> Iterator[ThreadedLLMCompletionFunction]:
+) -> Generator[ThreadedLLMCompletionFunction, None, None]:
     """Run a completion thread pool.
 
     Args

packages/graphrag-llm/graphrag_llm/threading/embedding_thread_runner.py

@@ -7,7 +7,7 @@
 import sys
 import threading
 import time
-from collections.abc import Awaitable, Iterator
+from collections.abc import Awaitable, Generator
 from contextlib import contextmanager
 from queue import Empty, Queue
 from typing import TYPE_CHECKING, Protocol, Unpack, runtime_checkable
@@ -120,7 +120,7 @@ def embedding_thread_runner(
     concurrency: int,
     queue_limit: int = 0,
     metrics_store: "MetricsStore | None" = None,
-) -> Iterator[ThreadedLLMEmbeddingFunction]:
+) -> Generator[ThreadedLLMEmbeddingFunction, None, None]:
     """Run an embedding thread pool.
 
     Args

packages/graphrag-llm/pyproject.toml

@@ -32,13 +32,13 @@ classifiers = [
     "Programming Language :: Python :: 3.13",
 ]
 dependencies = [
-    "azure-identity~=1.25",
+    "azure-identity~=1.26",
     # fastapi is required for litellm tool calling. https://github.com/BerriAI/litellm/issues/32993
     "fastapi>=0.136.3,<1.0",
     "graphrag-cache==3.3.0",
     "graphrag-common==3.3.0",
     "jinja2~=3.1",
-    "litellm==1.100.1",
+    "litellm==1.102.1",
     "nest-asyncio2~=1.7",
     # orjson is required for litellm tool calling. https://github.com/BerriAI/litellm/issues/32993
     "orjson>=3.11.6,<4.0",

packages/graphrag-storage/pyproject.toml

@@ -31,9 +31,9 @@ classifiers = [
 ]
 dependencies = [
     "aiofiles~=25.1",
-    "azure-cosmos~=4.16",
-    "azure-identity~=1.25",
-    "azure-storage-blob~=12.30",
+    "azure-cosmos~=4.17",
+    "azure-identity~=1.26",
+    "azure-storage-blob~=12.31",
     "graphrag-common==3.3.0",
     "pandas~=3.0",
     "pydantic~=2.13",

packages/graphrag-vectors/pyproject.toml

@@ -31,8 +31,8 @@ classifiers = [
 ]
 dependencies = [
     "azure-core~=1.41",
-    "azure-cosmos~=4.16",
-    "azure-identity~=1.25",
+    "azure-cosmos~=4.17",
+    "azure-identity~=1.26",
     "azure-search-documents~=12.0",
     "graphrag-common==3.3.0",
     "lancedb~=0.38.0",

packages/graphrag/pyproject.toml

@@ -32,9 +32,9 @@ classifiers = [
 ]
 
 dependencies = [
-    "azure-identity~=1.25",
+    "azure-identity~=1.26",
     "azure-search-documents~=12.0",
-    "azure-storage-blob~=12.30",
+    "azure-storage-blob~=12.31",
     "devtools~=0.12",
     "graphrag-cache==3.3.0",
     "graphrag-chunking==3.3.0",

pyproject.toml

@@ -27,7 +27,7 @@ requires-python = ">=3.11,<3.14"
 dev = [
     "coverage~=7.16",
     "deptry~=0.25",
-    "ipykernel~=7.3",
+    "ipykernel~=7.4",
     "jupyter~=1.1",
     "mkdocs-material~=9.7",
     "mkdocs-jupyter~=0.26",