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from typing import Any, Dict, Optional, Union
from huggingface_hub.hf_api import InferenceProviderMapping
from huggingface_hub.inference._common import RequestParameters, _as_dict
from ._common import BaseConversationalTask, BaseTextGenerationTask, filter_none
_PROVIDER = "featherless-ai"
_BASE_URL = "https://api.featherless.ai"
class FeatherlessTextGenerationTask(BaseTextGenerationTask):
def __init__(self):
super().__init__(provider=_PROVIDER, base_url=_BASE_URL)
def _prepare_payload_as_dict(
self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping
) -> Optional[Dict]:
params = filter_none(parameters.copy())
params["max_tokens"] = params.pop("max_new_tokens", None)
return {"prompt": inputs, **params, "model": provider_mapping_info.provider_id}
def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any:
output = _as_dict(response)["choices"][0]
return {
"generated_text": output["text"],
"details": {
"finish_reason": output.get("finish_reason"),
"seed": output.get("seed"),
},
}
class FeatherlessConversationalTask(BaseConversationalTask):
def __init__(self):
super().__init__(provider=_PROVIDER, base_url=_BASE_URL)