Run python3 dev/update_ml_package_versions.py

Signed-off-by: mlflow-app[bot] <mlflow-app[bot]@users.noreply.github.com>

Author: mlflow-app[bot]

mlflow/ml-package-versions.yml

@@ -33,7 +33,7 @@ pytorch:
 
   models:
     minimum: "2.2.1"
-    maximum: "2.9.1"
+    maximum: "2.10.0"
     requirements:
       ">= 0.0.0": ["torchvision", "scikit-learn"]
       ">= 1.8": ["transformers"]
@@ -43,7 +43,7 @@ pytorch:
 
   autologging:
     minimum: "2.2.1"
-    maximum: "2.9.1"
+    maximum: "2.10.0"
     requirements:
       ">= 0.0.0": ["tensorboard"]
     run: |
@@ -59,7 +59,7 @@ pytorch-lightning:
       pip install git+https://github.com/PytorchLightning/pytorch-lightning.git
 
   autologging:
-    minimum: "2.2.0.post0"
+    minimum: "2.2.1"
     maximum: "2.6.1"
     requirements:
       ">= 0.0.0":
@@ -75,7 +75,7 @@ pytorch-lightning:
       pytest tests/pytorch/test_pytorch_autolog.py
 
   models:
-    minimum: "2.2.0.post0"
+    minimum: "2.2.1"
     maximum: "2.6.1"
     requirements:
       ">= 0.0.0": ["pytorch-forecasting"]
@@ -146,15 +146,15 @@ xgboost:
 
   models:
     minimum: "2.1.0"
-    maximum: "3.1.3"
+    maximum: "3.2.0"
     requirements:
       ">= 0.0.0": ["scikit-learn"]
     run: |
       pytest tests/xgboost/test_xgboost_model_export.py
 
   autologging:
     minimum: "2.1.0"
-    maximum: "3.1.3"
+    maximum: "3.2.0"
     requirements:
       ">= 0.0.0": ["scikit-learn", "matplotlib"]
     run: |
@@ -239,7 +239,7 @@ semantic_kernel:
 
   autologging:
     minimum: "1.34.0"
-    maximum: "1.39.3"
+    maximum: "1.39.4"
     requirements:
       ">= 1.34.0": [
           "pydantic>=2.0,<2.12",
@@ -447,7 +447,7 @@ transformers:
   models:
     minimum: "4.38.2"
     # transformers 5.x is not supported yet
-    maximum: "4.57.5"
+    maximum: "5.1.0"
     test_every_n_versions: 4
     unsupported: [
         # Avoid this patch: https://github.com/huggingface/transformers/pull/29032
@@ -494,7 +494,7 @@ transformers:
   autologging:
     minimum: "4.38.2"
     # transformers 5.x is not supported yet
-    maximum: "4.57.5"
+    maximum: "5.1.0"
     test_every_n_versions: 4
     unsupported: [
         # https://github.com/huggingface/transformers/issues/38269
@@ -536,8 +536,8 @@ openai:
     install_dev: |
       pip install git+https://github.com/openai/openai-python
   models:
-    minimum: "1.62.0"
-    maximum: "2.18.0"
+    minimum: "1.63.0"
+    maximum: "2.20.0"
     requirements:
       ">= 0.0.0": [
           "pyspark",
@@ -554,8 +554,8 @@ openai:
     # many test tasks for openai. Reducing the number of testing only for every 10 version.
     test_every_n_versions: 10
   autologging:
-    minimum: "1.62.0"
-    maximum: "2.18.0"
+    minimum: "1.63.0"
+    maximum: "2.20.0"
     requirements:
       ">= 0.0.0": [
           "tiktoken",
@@ -604,7 +604,7 @@ langchain:
   models:
     # Where the large package update was made (langchain-core, community, ...)
     minimum: "0.3.19"
-    maximum: "1.2.9"
+    maximum: "1.2.10"
     requirements:
       ">= 0.0.0": [
           "pyspark",
@@ -647,7 +647,7 @@ langchain:
       pytest tests/langchain --ignore tests/langchain/test_langchain_autolog.py
   autologging:
     minimum: "0.3.19"
-    maximum: "1.2.9"
+    maximum: "1.2.10"
     requirements:
       ">= 0.0.0": [
           "openai",
@@ -683,7 +683,7 @@ langgraph:
       pip install --force-reinstall --no-deps git+https://github.com/langchain-ai/langgraph#subdirectory=libs/prebuilt
 
   models:
-    minimum: "0.2.71"
+    minimum: "0.2.73"
     maximum: "1.0.8"
     requirements:
       ">= 0.0.0": [
@@ -700,7 +700,7 @@ langgraph:
       pytest tests/langgraph --ignore tests/langgraph/test_langgraph_autolog.py
 
   autologging:
-    minimum: "0.2.71"
+    minimum: "0.2.73"
     maximum: "1.0.8"
     requirements:
       ">= 0.0.0": [
@@ -727,8 +727,8 @@ llama_index:
       pip install git+https://github.com/run-llama/llama_index.git
   models:
     # New event/span framework is fully implemented in 0.10.44
-    minimum: "0.12.17"
-    maximum: "0.14.13"
+    minimum: "0.12.18"
+    maximum: "0.14.14"
     requirements:
       ">= 0.0.0": [
           # Versions 1.99.2 - 1.99.8 contain regressions:
@@ -748,8 +748,8 @@ llama_index:
         ]
     run: pytest tests/llama_index --ignore tests/llama_index/test_llama_index_autolog.py --ignore tests/llama_index/test_llama_index_tracer.py
   autologging:
-    minimum: "0.12.17"
-    maximum: "0.14.13"
+    minimum: "0.12.18"
+    maximum: "0.14.14"
     requirements:
       ">= 0.0.0": [
           # Versions 1.99.2 - 1.99.8 contain regressions:
@@ -768,8 +768,8 @@ ag2:
     pip_release: "ag2"
     module_name: "autogen"
   autologging:
-    minimum: "0.7.4"
-    maximum: "0.10.5"
+    minimum: "0.7.5"
+    maximum: "0.11.0"
     requirements:
       ">= 0.0.0": [
           # Required to run tests/openai/mock_openai.py
@@ -813,8 +813,8 @@ gemini:
     install_dev: |
       pip install git+https://github.com/googleapis/python-genai
   autologging:
-    minimum: "1.2.0"
-    maximum: "1.62.0"
+    minimum: "1.3.0"
+    maximum: "1.63.0"
     requirements:
     run: |
       # Install legacy gemini SDK to ensure the integration works for the legacy SDK
@@ -849,7 +849,7 @@ crewai:
     install_dev: |
       pip install git+https://github.com/crewAIInc/crewAI#subdirectory=lib/crewai
   autologging:
-    minimum: "0.102.0"
+    minimum: "0.105.0"
     maximum: "1.9.3"
     unsupported: ["==0.114.0"]
     requirements:
@@ -897,7 +897,7 @@ pydantic_ai:
         "git+https://github.com/pydantic/pydantic-ai.git#egg=pydantic-ai"
   autologging:
     minimum: "0.1.9"
-    maximum: "1.57.0"
+    maximum: "1.58.0"
     requirements:
       ">= 0.0.0": ["mcp"]
     run: pytest tests/pydantic_ai
@@ -933,7 +933,7 @@ strands:
       pip install "git+https://github.com/strands-agents/sdk-python"
   autologging:
     minimum: "1.4.0"
-    maximum: "1.25.0"
+    maximum: "1.26.0"
     run: pytest tests/strands
     test_tracing_sdk: true
 
@@ -946,7 +946,7 @@ haystack:
       pip install git+https://github.com/deepset-ai/haystack
   autologging:
     minimum: "2.0.0"
-    maximum: "2.23.0"
+    maximum: "2.24.0"
     requirements:
     run: pytest tests/haystack
     test_tracing_sdk: true
@@ -967,7 +967,7 @@ mistral:
       rm -rf $TMP_DIR
   autologging:
     minimum: "1.5.1"
-    maximum: "1.12.0"
+    maximum: "1.12.1"
     requirements:
     run: pytest tests/mistral
     test_tracing_sdk: true
@@ -1057,7 +1057,7 @@ bedrock:
     module_name: "boto3"
   autologging:
     # BedrockRuntime client is added in boto3 1.33
-    minimum: "1.36.18"
-    maximum: "1.42.45"
+    minimum: "1.36.20"
+    maximum: "1.42.47"
     run: pytest tests/bedrock
     test_tracing_sdk: true