"""Pluggable LLM client for transcription summaries.

Phase 1: Stub implementation — returns TODO string.
Phase 3: Wire up Anthropic, OpenAI, and Ollama providers.
"""

import os
from typing import Optional


async def call_llm(
    provider: str,
    model: str,
    api_key: str,
    system_prompt: str,
    user_message: str,
) -> str:
    """Call an LLM to generate a summary.

    Phase 1 stub — returns a TODO string.
    Phase 3 will implement actual provider routing.

    Args:
        provider: 'anthropic', 'openai', 'ollama', 'openrouter', 'google'
        model: Model name (e.g. 'claude-sonnet-4-6', 'gpt-4o', 'llama3')
        api_key: User's API key (from localStorage, passed per-request)
        system_prompt: System prompt template (already filled with transcript)
        user_message: User message content

    Returns:
        LLM-generated summary text
    """
    # Phase 1 stub — TODO: implement in Phase 3
    return f"[TODO: Implement LLM call for provider={provider}, model={model}]"


async def call_anthropic(api_key: str, model: str, system_prompt: str, user_message: str) -> str:
    """Call Anthropic Claude API."""
    # Phase 3 implementation placeholder
    return f"[TODO: Anthropic call — model={model}]"


async def call_openai(api_key: str, model: str, system_prompt: str, user_message: str) -> str:
    """Call OpenAI API."""
    # Phase 3 implementation placeholder
    return f"[TODO: OpenAI call — model={model}]"


async def call_ollama(api_key: str, model: str, system_prompt: str, user_message: str) -> str:
    """Call local Ollama instance."""
    # Phase 3 implementation placeholder
    ollama_url = os.getenv("OLLAMA_URL", "https://ollama.kevlarai.com")
    return f"[TODO: Ollama call — url={ollama_url}, model={model}]"