mirror of
https://github.com/meta-llama/llama-stack.git
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8de8eb03c8
## What does this PR do?
This is a long-pending change and particularly important to get done
now.
Specifically:
- we cannot "localize" (aka download) any URLs from media attachments
anywhere near our modeling code. it must be done within llama-stack.
- `PIL.Image` is infesting all our APIs via `ImageMedia ->
InterleavedTextMedia` and that cannot be right at all. Anything in the
API surface must be "naturally serializable". We need a standard `{
type: "image", image_url: "<...>" }` which is more extensible
- `UserMessage`, `SystemMessage`, etc. are moved completely to
llama-stack from the llama-models repository.
See https://github.com/meta-llama/llama-models/pull/244 for the
corresponding PR in llama-models.
## Test Plan
```bash
cd llama_stack/providers/tests
pytest -s -v -k "fireworks or ollama or together" inference/test_vision_inference.py
pytest -s -v -k "(fireworks or ollama or together) and llama_3b" inference/test_text_inference.py
pytest -s -v -k chroma memory/test_memory.py \
--env EMBEDDING_DIMENSION=384 --env CHROMA_DB_PATH=/tmp/foobar
pytest -s -v -k fireworks agents/test_agents.py \
--safety-shield=meta-llama/Llama-Guard-3-8B \
--inference-model=meta-llama/Llama-3.1-8B-Instruct
```
Updated the client sdk (see PR ...), installed the SDK in the same
environment and then ran the SDK tests:
```bash
cd tests/client-sdk
LLAMA_STACK_CONFIG=together pytest -s -v agents/test_agents.py
LLAMA_STACK_CONFIG=ollama pytest -s -v memory/test_memory.py
# this one needed a bit of hacking in the run.yaml to ensure I could register the vision model correctly
INFERENCE_MODEL=llama3.2-vision:latest LLAMA_STACK_CONFIG=ollama pytest -s -v inference/test_inference.py
```
71 lines
2.4 KiB
Python
71 lines
2.4 KiB
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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# 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 found in the
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# LICENSE file in the root directory of this source tree.
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from datetime import datetime
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from pathlib import Path
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import fire
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import yaml
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from llama_models import schema_utils
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# We do some monkey-patching to ensure our definitions only use the minimal
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# (json_schema_type, webmethod) definitions from the llama_models package. For
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# generation though, we need the full definitions and implementations from the
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# (json-strong-typing) package.
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from .strong_typing.schema import json_schema_type, register_schema
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schema_utils.json_schema_type = json_schema_type
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schema_utils.register_schema = register_schema
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from llama_stack.apis.version import LLAMA_STACK_API_VERSION # noqa: E402
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from llama_stack.distribution.stack import LlamaStack # noqa: E402
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from .pyopenapi.options import Options # noqa: E402
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from .pyopenapi.specification import Info, Server # noqa: E402
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from .pyopenapi.utility import Specification # noqa: E402
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def main(output_dir: str):
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output_dir = Path(output_dir)
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if not output_dir.exists():
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raise ValueError(f"Directory {output_dir} does not exist")
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now = str(datetime.now())
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print(
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"Converting the spec to YAML (openapi.yaml) and HTML (openapi.html) at " + now
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)
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print("")
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spec = Specification(
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LlamaStack,
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Options(
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server=Server(url="http://any-hosted-llama-stack.com"),
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info=Info(
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title="Llama Stack Specification",
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version=LLAMA_STACK_API_VERSION,
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description="""This is the specification of the Llama Stack that provides
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a set of endpoints and their corresponding interfaces that are tailored to
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best leverage Llama Models.""",
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),
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),
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)
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with open(output_dir / "llama-stack-spec.yaml", "w", encoding="utf-8") as fp:
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yaml.dump(spec.get_json(), fp, allow_unicode=True)
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with open(output_dir / "llama-stack-spec.html", "w") as fp:
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spec.write_html(fp, pretty_print=True)
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if __name__ == "__main__":
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fire.Fire(main)
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