forked from phoenix-oss/llama-stack-mirror
314ee09ae3
llama-models should have extremely minimal cruft. Its sole purpose should be didactic -- show the simplest implementation of the llama models and document the prompt formats, etc. This PR is the complement to https://github.com/meta-llama/llama-models/pull/279 ## Test Plan Ensure all `llama` CLI `model` sub-commands work: ```bash llama model list llama model download --model-id ... llama model prompt-format -m ... ``` Ran tests: ```bash cd tests/client-sdk LLAMA_STACK_CONFIG=fireworks pytest -s -v inference/ LLAMA_STACK_CONFIG=fireworks pytest -s -v vector_io/ LLAMA_STACK_CONFIG=fireworks pytest -s -v agents/ ``` Create a fresh venv `uv venv && source .venv/bin/activate` and run `llama stack build --template fireworks --image-type venv` followed by `llama stack run together --image-type venv` <-- the server runs Also checked that the OpenAPI generator can run and there is no change in the generated files as a result. ```bash cd docs/openapi_generator sh run_openapi_generator.sh ```
33 lines
952 B
Python
33 lines
952 B
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import os
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from typing import Any, Dict, Optional
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from pydantic import BaseModel, Field, SecretStr
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from llama_stack.schema_utils import json_schema_type
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DEFAULT_BASE_URL = "https://api.cerebras.ai"
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@json_schema_type
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class CerebrasImplConfig(BaseModel):
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base_url: str = Field(
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default=os.environ.get("CEREBRAS_BASE_URL", DEFAULT_BASE_URL),
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description="Base URL for the Cerebras API",
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)
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api_key: Optional[SecretStr] = Field(
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default=os.environ.get("CEREBRAS_API_KEY"),
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description="Cerebras API Key",
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)
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@classmethod
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def sample_run_config(cls, **kwargs) -> Dict[str, Any]:
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return {
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"base_url": DEFAULT_BASE_URL,
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"api_key": "${env.CEREBRAS_API_KEY}",
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}
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