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Featherlessai

FeatherlessLLM #

Bases: OpenAILike

Featherless LLM.

Examples:

pip install llama-index-llms-featherlessai 

from llama_index.llms.featherlessai import FeatherlessLLM
# set api key in env or in llm
# import os
# os.environ["FEATHERLESS_API_KEY"] = "your api key"
llm = FeatherlessLLM(
    model="Qwen/Qwen3-32B", api_key="your_api_key"
)
resp = llm.complete("Who is Paul Graham?")
print(resp)

Source code in llama-index-integrations/llms/llama-index-llms-featherlessai/llama_index/llms/featherlessai/base.py 
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class FeatherlessLLM(OpenAILike):
    """
    Featherless LLM.

    Examples:
        `pip install llama-index-llms-featherlessai`
        ```python
        from llama_index.llms.featherlessai import FeatherlessLLM
        # set api key in env or in llm
        # import os
        # os.environ["FEATHERLESS_API_KEY"] = "your api key"
        llm = FeatherlessLLM(
            model="Qwen/Qwen3-32B", api_key="your_api_key"
        )
        resp = llm.complete("Who is Paul Graham?")
        print(resp)
        ```

    """

    def __init__(
        self,
        model: str,
        api_key: Optional[str] = None,
        api_base: str = "https://api.featherless.ai/v1",
        is_chat_model: bool = True,
        context_window: Optional[int] = None,
        is_function_calling_model: bool = False,
        **kwargs: Any,
    ) -> None:
        api_key = api_key or os.environ.get("FEATHERLESS_API_KEY", None)
        super().__init__(
            model=model,
            api_key=api_key,
            api_base=api_base,
            is_chat_model=is_chat_model,
            context_window=context_window,
            is_function_calling_model=is_function_calling_model,
            **kwargs,
        )

    @classmethod
    def class_name(cls) -> str:
        """Get class name."""
        return "FeatherlessLLM"

class_name classmethod #

class_name() -> str

Get class name.

Source code in llama-index-integrations/llms/llama-index-llms-featherlessai/llama_index/llms/featherlessai/base.py 
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@classmethod
def class_name(cls) -> str:
    """Get class name."""
    return "FeatherlessLLM"