#!/usr/bin/env python3
#
# Unified interface for LLM providers using OpenAI format
# https://github.com/muxi-ai/onellm
#
# Copyright (C) 2025 Ran Aroussi
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""
Together AI provider implementation for OneLLM.

Together AI provides fast inference for open-source models with OpenAI-compatible APIs.
They offer a wide selection of models including Llama, Mistral, Mixtral, and many others.
"""

from .base import register_provider
from .openai_compatible import OpenAICompatibleProvider


class TogetherProvider(OpenAICompatibleProvider):
    """Together AI provider implementation."""

    # Provider configuration
    provider_name = "together"
    default_api_base = "https://api.together.xyz/v1"

    # Set capability flags
    json_mode_support = True

    # Multi-modal capabilities (model-dependent)
    vision_support = True          # Some models support vision
    audio_input_support = False    # No audio support
    video_input_support = False    # No video support

    # Streaming capabilities
    streaming_support = True       # All models support streaming
    token_by_token_support = True  # Provides token-by-token streaming

    # Realtime capabilities
    realtime_support = False       # No realtime API

    # Additional capabilities
    function_calling_support = True  # Many models support function calling

# Register the Together provider
register_provider("together", TogetherProvider)
