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91 lines
3.1 KiB
Python
91 lines
3.1 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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from typing import Any
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from llama_stack.apis.inference import (
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OpenAIMessageParam,
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OpenAIResponseFormatParam,
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)
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from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin
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from .config import RunpodImplConfig
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class RunpodInferenceAdapter(OpenAIMixin):
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"""
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Adapter for RunPod's OpenAI-compatible API endpoints.
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Supports VLLM for serverless endpoint self-hosted or public endpoints.
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Can work with any runpod endpoints that support OpenAI-compatible API
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"""
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config: RunpodImplConfig
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def get_api_key(self) -> str:
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"""Get API key for OpenAI client."""
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return self.config.api_token
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def get_base_url(self) -> str:
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"""Get base URL for OpenAI client."""
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return self.config.url
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async def openai_chat_completion(
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self,
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model: str,
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messages: list[OpenAIMessageParam],
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frequency_penalty: float | None = None,
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function_call: str | dict[str, Any] | None = None,
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functions: list[dict[str, Any]] | None = None,
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logit_bias: dict[str, float] | None = None,
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logprobs: bool | None = None,
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max_completion_tokens: int | None = None,
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max_tokens: int | None = None,
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n: int | None = None,
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parallel_tool_calls: bool | None = None,
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presence_penalty: float | None = None,
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response_format: OpenAIResponseFormatParam | None = None,
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seed: int | None = None,
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stop: str | list[str] | None = None,
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stream: bool | None = None,
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stream_options: dict[str, Any] | None = None,
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temperature: float | None = None,
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tool_choice: str | dict[str, Any] | None = None,
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tools: list[dict[str, Any]] | None = None,
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top_logprobs: int | None = None,
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top_p: float | None = None,
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user: str | None = None,
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**kwargs: Any,
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):
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"""Override to add RunPod-specific stream_options requirement."""
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if stream and not stream_options:
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stream_options = {"include_usage": True}
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return await super().openai_chat_completion(
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model=model,
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messages=messages,
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frequency_penalty=frequency_penalty,
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function_call=function_call,
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functions=functions,
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logit_bias=logit_bias,
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logprobs=logprobs,
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max_completion_tokens=max_completion_tokens,
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max_tokens=max_tokens,
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n=n,
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parallel_tool_calls=parallel_tool_calls,
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presence_penalty=presence_penalty,
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response_format=response_format,
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seed=seed,
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stop=stop,
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stream=stream,
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stream_options=stream_options,
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temperature=temperature,
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tool_choice=tool_choice,
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tools=tools,
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top_logprobs=top_logprobs,
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top_p=top_p,
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user=user,
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**kwargs,
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)
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