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remove unnecessary litellm deps

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This commit is contained in:
Matthew Farrellee 2025-10-06 10:42:33 -04:00
parent 96232e2b2a
commit 7fe3dac265
1 changed files with 7 additions and 14 deletions
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21
llama_stack/providers/registry/inference.py
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@ -167,7 +167,7 @@ def available_providers() -> list[ProviderSpec]:
api=Api.inference,
adapter_type="openai",
provider_type="remote::openai",
pip_packages=["litellm"],
pip_packages=[],
module="llama_stack.providers.remote.inference.openai",
config_class="llama_stack.providers.remote.inference.openai.OpenAIConfig",
provider_data_validator="llama_stack.providers.remote.inference.openai.config.OpenAIProviderDataValidator",
@ -177,7 +177,7 @@ def available_providers() -> list[ProviderSpec]:
api=Api.inference,
adapter_type="anthropic",
provider_type="remote::anthropic",
pip_packages=["litellm", "anthropic"],
pip_packages=["anthropic"],
module="llama_stack.providers.remote.inference.anthropic",
config_class="llama_stack.providers.remote.inference.anthropic.AnthropicConfig",
provider_data_validator="llama_stack.providers.remote.inference.anthropic.config.AnthropicProviderDataValidator",
@ -187,9 +187,7 @@ def available_providers() -> list[ProviderSpec]:
api=Api.inference,
adapter_type="gemini",
provider_type="remote::gemini",
pip_packages=[
"litellm",
],
pip_packages=[],
module="llama_stack.providers.remote.inference.gemini",
config_class="llama_stack.providers.remote.inference.gemini.GeminiConfig",
provider_data_validator="llama_stack.providers.remote.inference.gemini.config.GeminiProviderDataValidator",
@ -200,7 +198,6 @@ def available_providers() -> list[ProviderSpec]:
adapter_type="vertexai",
provider_type="remote::vertexai",
pip_packages=[
"litellm",
"google-cloud-aiplatform",
],
module="llama_stack.providers.remote.inference.vertexai",
@ -231,9 +228,7 @@ Available Models:
api=Api.inference,
adapter_type="groq",
provider_type="remote::groq",
pip_packages=[
"litellm",
],
pip_packages=[],
module="llama_stack.providers.remote.inference.groq",
config_class="llama_stack.providers.remote.inference.groq.GroqConfig",
provider_data_validator="llama_stack.providers.remote.inference.groq.config.GroqProviderDataValidator",
@ -243,7 +238,7 @@ Available Models:
api=Api.inference,
adapter_type="llama-openai-compat",
provider_type="remote::llama-openai-compat",
pip_packages=["litellm"],
pip_packages=[],
module="llama_stack.providers.remote.inference.llama_openai_compat",
config_class="llama_stack.providers.remote.inference.llama_openai_compat.config.LlamaCompatConfig",
provider_data_validator="llama_stack.providers.remote.inference.llama_openai_compat.config.LlamaProviderDataValidator",
@ -253,9 +248,7 @@ Available Models:
api=Api.inference,
adapter_type="sambanova",
provider_type="remote::sambanova",
pip_packages=[
"litellm",
],
pip_packages=[],
module="llama_stack.providers.remote.inference.sambanova",
config_class="llama_stack.providers.remote.inference.sambanova.SambaNovaImplConfig",
provider_data_validator="llama_stack.providers.remote.inference.sambanova.config.SambaNovaProviderDataValidator",
@ -285,7 +278,7 @@ Available Models:
api=Api.inference,
provider_type="remote::azure",
adapter_type="azure",
pip_packages=["litellm"],
pip_packages=[],
module="llama_stack.providers.remote.inference.azure",
config_class="llama_stack.providers.remote.inference.azure.AzureConfig",
provider_data_validator="llama_stack.providers.remote.inference.azure.config.AzureProviderDataValidator",