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https://github.com/meta-llama/llama-stack.git
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840ad75fe9
# What does this PR do? Extract API definitions and provider specifications into a standalone llama-stack-api package that can be published to PyPI independently of the main llama-stack server. see: https://github.com/llamastack/llama-stack/pull/2978 and https://github.com/llamastack/llama-stack/pull/2978#issuecomment-3145115942 Motivation External providers currently import from llama-stack, which overrides the installed version and causes dependency conflicts. This separation allows external providers to: - Install only the type definitions they need without server dependencies - Avoid version conflicts with the installed llama-stack package - Be versioned and released independently This enables us to re-enable external provider module tests that were previously blocked by these import conflicts. Changes - Created llama-stack-api package with minimal dependencies (pydantic, jsonschema) - Moved APIs, providers datatypes, strong_typing, and schema_utils - Updated all imports from llama_stack.* to llama_stack_api.* - Configured local editable install for development workflow - Updated linting and type-checking configuration for both packages Next Steps - Publish llama-stack-api to PyPI - Update external provider dependencies - Re-enable external provider module tests Pre-cursor PRs to this one: - #4093 - #3954 - #4064 These PRs moved key pieces _out_ of the Api pkg, limiting the scope of change here. relates to #3237 ## Test Plan Package builds successfully and can be imported independently. All pre-commit hooks pass with expected exclusions maintained. --------- Signed-off-by: Charlie Doern <cdoern@redhat.com>
68 lines
1.8 KiB
Python
Executable file
68 lines
1.8 KiB
Python
Executable file
#!/usr/bin/env python
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# 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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# Run this script:
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# torchrun --nproc_per_node=8 scripts/generate_prompt_format.py meta-llama/Llama-4-17B-Omni-Instruct-BF16-16E ~/.llama/checkpoints/Llama-4-17B-Omni-Instruct-BF16-16E/ llama_stack.models.llama.llama4.prompts llama_stack/models/llama/llama4/prompt_format.md
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import importlib
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import os
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from pathlib import Path
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import fire
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from llama_stack_api import ModelNotFoundError
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from llama_stack.models.llama.llama3.generation import Llama3
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from llama_stack.models.llama.llama4.generation import Llama4
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from llama_stack.models.llama.sku_list import resolve_model
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THIS_DIR = Path(__file__).parent.resolve()
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def run_main(
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model_id: str,
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checkpoint_dir: str,
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module_name: str,
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output_path: str,
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llama4: bool = True,
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):
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module = importlib.import_module(module_name)
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assert hasattr(module, "usecases"), f"Module {module_name} missing usecases function"
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llama_model = resolve_model(model_id)
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if not llama_model:
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raise ModelNotFoundError(model_id)
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cls = Llama4 if llama4 else Llama3
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generator = cls.build(
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ckpt_dir=checkpoint_dir,
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max_seq_len=4096,
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max_batch_size=1,
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)
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use_cases = module.usecases()
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text = ""
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for u in use_cases:
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if isinstance(u, str):
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use_case_text = f"\n{u}\n"
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else:
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use_case_text = u.to_text(generator)
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text += use_case_text
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print(use_case_text)
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os.makedirs(os.path.dirname(output_path), exist_ok=True)
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with open(output_path, "w") as f:
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f.write(text)
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def main():
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fire.Fire(run_main)
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if __name__ == "__main__":
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main()
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