#!/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.

"""
Fireworks AI provider implementation for OneLLM.

Fireworks AI provides fast inference platform for open-source models with
specialized optimizations including Multi-LoRA serving and function calling.
"""

from .base import register_provider
from .openai_compatible import OpenAICompatibleProvider


class FireworksProvider(OpenAICompatibleProvider):
    """Fireworks AI provider implementation."""

    # Provider configuration
    provider_name = "fireworks"
    default_api_base = "https://api.fireworks.ai/inference/v1"

    # Set capability flags
    json_mode_support = True

    # Multi-modal capabilities
    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  # Advanced function calling with grammar mode

# Register the Fireworks provider
register_provider("fireworks", FireworksProvider)
