Merge pull request #1695 from basetenlabs/bump-version-0.9.99

Release 0.9.100

Author: ndeepak-baseten

poetry.lock

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "truss"
-version = "0.9.98"
+version = "0.9.100"
 description = "A seamless bridge from model development to model delivery"
 license = "MIT"
 readme = "README.md"
@@ -71,7 +71,7 @@ truss-docker-build-setup = "truss.contexts.docker_build_setup:docker_build_setup
 #  isolated.
 [tool.poetry.dependencies]
 # "base" dependencies.
-python = ">=3.9,<=3.13.3"
+python = ">=3.9,<3.14"
 huggingface_hub = ">=0.25.0"
 pydantic = ">=2.10.0"
 PyYAML = ">=6.0"

pyproject.toml

@@ -184,7 +184,7 @@ class TrussTRTLLMBuildConfiguration(PydanticTrTBaseModel):
     speculator: Optional[TrussSpeculatorConfiguration] = None
     lora_adapters: Optional[
         Dict[
-            Annotated[str, StringConstraints(pattern=r"^[a-z0-9]+$")],
+            Annotated[str, StringConstraints(pattern=r"^[a-zA-Z0-9_\-\.]+$")],
             CheckpointRepository,
         ]
     ] = None

truss/base/trt_llm_config.py

@@ -6,7 +6,7 @@ loguru>=0.7.2
 python-json-logger>=2.0.2
 tenacity>=8.1.0
  # To avoid divergence, this should follow the latest release.
-truss==0.9.96
+truss==0.9.100
 uvicorn>=0.24.0
 uvloop>=0.19.0
 websockets>=10.0

truss/templates/control/requirements.txt

@@ -370,12 +370,12 @@ def test_local_no_params_init_custom_model(no_params_init_custom_model):
 @pytest.mark.integration
 def test_custom_python_requirement(custom_model_truss_dir_with_pre_and_post):
     th = TrussHandle(custom_model_truss_dir_with_pre_and_post)
-    th.add_python_requirement("theano")
+    th.add_python_requirement("pandas")
     th.add_python_requirement("scipy")
     tag = "test-custom-python-req-tag:0.0.1"
     container = th.docker_run(tag=tag, local_port=None)
     try:
-        verify_python_requirement_installed_on_container(container, "theano")
+        verify_python_requirement_installed_on_container(container, "pandas")
         verify_python_requirement_installed_on_container(container, "scipy")
     finally:
         Docker.client().kill(container)