More generic image type for OCI-compliant container technologies (#802)

It's a more generic term and applicable to alternatives of Docker, such
as Podman or other OCI-compliant technologies.

---------

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
This commit is contained in:
Yuan Tang 2025-01-17 19:37:42 -05:00 committed by GitHub
parent 9d005154d7
commit 6da3053c0e
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
30 changed files with 102 additions and 100 deletions

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@ -70,7 +70,7 @@ def get_distribution_template() -> DistributionTemplate:
name=name,
distro_type="self_hosted",
description="Use AWS Bedrock for running LLM inference and safety",
docker_image=None,
container_image=None,
template_path=Path(__file__).parent / "doc_template.md",
providers=providers,
default_models=default_models,

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@ -92,7 +92,7 @@ def get_distribution_template() -> DistributionTemplate:
name="cerebras",
distro_type="self_hosted",
description="Use Cerebras for running LLM inference",
docker_image=None,
container_image=None,
template_path=Path(__file__).parent / "doc_template.md",
providers=providers,
default_models=default_models,

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@ -2,7 +2,7 @@ version: '2'
name: experimental-post-training
distribution_spec:
description: Experimental template for post training
docker_image: null
container_image: null
providers:
inference:
- inline::meta-reference

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@ -1,6 +1,6 @@
version: '2'
image_name: experimental-post-training
docker_image: null
container_image: null
conda_env: experimental-post-training
apis:
- agents

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@ -98,7 +98,7 @@ def get_distribution_template() -> DistributionTemplate:
name=name,
distro_type="self_hosted",
description="Use Fireworks.AI for running LLM inference",
docker_image=None,
container_image=None,
template_path=Path(__file__).parent / "doc_template.md",
providers=providers,
default_models=default_models,

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@ -88,7 +88,7 @@ def get_distribution_template() -> DistributionTemplate:
name=name,
distro_type="self_hosted",
description="Use (an external) Hugging Face Inference Endpoint for running LLM inference",
docker_image=None,
container_image=None,
template_path=None,
providers=providers,
default_models=[inference_model, safety_model],

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@ -89,7 +89,7 @@ def get_distribution_template() -> DistributionTemplate:
name=name,
distro_type="self_hosted",
description="Use (an external) Hugging Face Inference Endpoint for running LLM inference",
docker_image=None,
container_image=None,
template_path=None,
providers=providers,
default_models=[inference_model, safety_model],

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@ -68,7 +68,7 @@ def get_distribution_template() -> DistributionTemplate:
name="nvidia",
distro_type="remote_hosted",
description="Use NVIDIA NIM for running LLM inference",
docker_image=None,
container_image=None,
template_path=Path(__file__).parent / "doc_template.md",
providers=providers,
default_models=default_models,

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@ -90,7 +90,7 @@ def get_distribution_template() -> DistributionTemplate:
name=name,
distro_type="self_hosted",
description="Use (an external) Ollama server for running LLM inference",
docker_image=None,
container_image=None,
template_path=Path(__file__).parent / "doc_template.md",
providers=providers,
default_models=[inference_model, safety_model],

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@ -37,7 +37,7 @@ class RunConfigSettings(BaseModel):
self,
name: str,
providers: Dict[str, List[str]],
docker_image: Optional[str] = None,
container_image: Optional[str] = None,
) -> StackRunConfig:
provider_registry = get_provider_registry()
@ -83,7 +83,7 @@ class RunConfigSettings(BaseModel):
return StackRunConfig(
image_name=name,
docker_image=docker_image,
container_image=container_image,
conda_env=name,
apis=apis,
providers=provider_configs,
@ -113,7 +113,7 @@ class DistributionTemplate(BaseModel):
# Optional configuration
run_config_env_vars: Optional[Dict[str, Tuple[str, str]]] = None
docker_image: Optional[str] = None
container_image: Optional[str] = None
default_models: Optional[List[ModelInput]] = None
@ -122,7 +122,7 @@ class DistributionTemplate(BaseModel):
name=self.name,
distribution_spec=DistributionSpec(
description=self.description,
docker_image=self.docker_image,
container_image=self.container_image,
providers=self.providers,
),
image_type="conda", # default to conda, can be overridden
@ -170,7 +170,7 @@ class DistributionTemplate(BaseModel):
for yaml_pth, settings in self.run_configs.items():
run_config = settings.run_config(
self.name, self.providers, self.docker_image
self.name, self.providers, self.container_image
)
with open(yaml_output_dir / yaml_pth, "w") as f:
yaml.safe_dump(

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@ -92,7 +92,7 @@ def get_distribution_template() -> DistributionTemplate:
name=name,
distro_type="self_hosted",
description="Use (an external) TGI server for running LLM inference",
docker_image=None,
container_image=None,
template_path=Path(__file__).parent / "doc_template.md",
providers=providers,
default_models=[inference_model, safety_model],

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@ -96,7 +96,7 @@ def get_distribution_template() -> DistributionTemplate:
name=name,
distro_type="self_hosted",
description="Use Together.AI for running LLM inference",
docker_image=None,
container_image=None,
template_path=Path(__file__).parent / "doc_template.md",
providers=providers,
default_models=default_models,

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@ -84,7 +84,7 @@ def get_distribution_template() -> DistributionTemplate:
name=name,
distro_type="self_hosted",
description="Use a built-in vLLM engine for running LLM inference",
docker_image=None,
container_image=None,
template_path=None,
providers=providers,
default_models=[inference_model],