forked from phoenix-oss/llama-stack-mirror
17fdb47e5e
# What does this PR do?
- Makes Llama 70B 3.3 available for fireworks
## Test Plan
```shell
pip install -e . \
&& llama stack build --config distributions/fireworks/build.yaml --image-type conda \
&& llama stack run distributions/fireworks/run.yaml \
--port 5000
```
```python
response = client.inference.chat_completion(
model_id="Llama3.3-70B-Instruct",
messages=[
{"role": "user", "content": "hello world"},
],
)
```
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [x] Ran pre-commit to handle lint / formatting issues.
- [x] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
Pull Request section?
- [ ] Updated relevant documentation.
- [ ] Wrote necessary unit or integration tests.
29 lines
872 B
Python
29 lines
872 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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from typing import Any, Dict, Optional
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from llama_models.schema_utils import json_schema_type
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from pydantic import BaseModel, Field
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@json_schema_type
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class FireworksImplConfig(BaseModel):
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url: str = Field(
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default="https://api.fireworks.ai/inference/v1",
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description="The URL for the Fireworks server",
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)
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api_key: Optional[str] = Field(
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default=None,
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description="The Fireworks.ai API Key",
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)
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@classmethod
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def sample_run_config(cls, __distro_dir__: str) -> Dict[str, Any]:
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return {
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"url": "https://api.fireworks.ai/inference/v1",
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"api_key": "${env.FIREWORKS_API_KEY}",
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}
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