mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-20 11:18:41 +00:00
Merge branch 'main' into add-nim-completion-api
This commit is contained in:
commit
df3c239573
199 changed files with 7739 additions and 814 deletions
|
|
@ -17,6 +17,7 @@ from llama_stack.providers.inline.inference.meta_reference import (
|
|||
)
|
||||
from llama_stack.providers.remote.inference.bedrock import BedrockConfig
|
||||
|
||||
from llama_stack.providers.remote.inference.cerebras import CerebrasImplConfig
|
||||
from llama_stack.providers.remote.inference.fireworks import FireworksImplConfig
|
||||
from llama_stack.providers.remote.inference.nvidia import NVIDIAConfig
|
||||
from llama_stack.providers.remote.inference.ollama import OllamaImplConfig
|
||||
|
|
@ -64,6 +65,21 @@ def inference_meta_reference(inference_model) -> ProviderFixture:
|
|||
)
|
||||
|
||||
|
||||
@pytest.fixture(scope="session")
|
||||
def inference_cerebras() -> ProviderFixture:
|
||||
return ProviderFixture(
|
||||
providers=[
|
||||
Provider(
|
||||
provider_id="cerebras",
|
||||
provider_type="remote::cerebras",
|
||||
config=CerebrasImplConfig(
|
||||
api_key=get_env_or_fail("CEREBRAS_API_KEY"),
|
||||
).model_dump(),
|
||||
)
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture(scope="session")
|
||||
def inference_ollama(inference_model) -> ProviderFixture:
|
||||
inference_model = (
|
||||
|
|
@ -206,6 +222,7 @@ INFERENCE_FIXTURES = [
|
|||
"vllm_remote",
|
||||
"remote",
|
||||
"bedrock",
|
||||
"cerebras",
|
||||
"nvidia",
|
||||
"tgi",
|
||||
]
|
||||
|
|
|
|||
|
|
@ -95,6 +95,7 @@ class TestInference:
|
|||
"remote::together",
|
||||
"remote::fireworks",
|
||||
"remote::nvidia",
|
||||
"remote::cerebras",
|
||||
):
|
||||
pytest.skip("Other inference providers don't support completion() yet")
|
||||
|
||||
|
|
@ -139,6 +140,8 @@ class TestInference:
|
|||
"remote::together",
|
||||
"remote::fireworks",
|
||||
"remote::nvidia",
|
||||
"remote::vllm",
|
||||
"remote::cerebras",
|
||||
):
|
||||
pytest.skip(
|
||||
"Other inference providers don't support structured output in completions yet"
|
||||
|
|
@ -198,6 +201,7 @@ class TestInference:
|
|||
"remote::fireworks",
|
||||
"remote::tgi",
|
||||
"remote::together",
|
||||
"remote::vllm",
|
||||
"remote::nvidia",
|
||||
):
|
||||
pytest.skip("Other inference providers don't support structured output yet")
|
||||
|
|
@ -211,7 +215,15 @@ class TestInference:
|
|||
response = await inference_impl.chat_completion(
|
||||
model_id=inference_model,
|
||||
messages=[
|
||||
SystemMessage(content="You are a helpful assistant."),
|
||||
# we include context about Michael Jordan in the prompt so that the test is
|
||||
# focused on the funtionality of the model and not on the information embedded
|
||||
# in the model. Llama 3.2 3B Instruct tends to think MJ played for 14 seasons.
|
||||
SystemMessage(
|
||||
content=(
|
||||
"You are a helpful assistant.\n\n"
|
||||
"Michael Jordan was born in 1963. He played basketball for the Chicago Bulls for 15 seasons."
|
||||
)
|
||||
),
|
||||
UserMessage(content="Please give me information about Michael Jordan."),
|
||||
],
|
||||
stream=False,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue