Josh Knapp
d67625cd5a
- Implement AIProvider base interface with chat() and is_available() - Add LocalProvider connecting to bundled llama-server via OpenAI SDK - Add OpenAIProvider for direct OpenAI API access - Add AnthropicProvider for Anthropic Claude API - Add LiteLLMProvider for multi-provider gateway - Build AIProviderService with provider routing, auto-selection, and transcript context injection - Add ai.chat IPC handler supporting chat, list_providers, set_provider, and configure actions - Add ai_chat, ai_list_providers, ai_configure Tauri commands - Build interactive AIChatPanel with message history, quick actions (Summarize, Action Items), and transcript context awareness - Tests: 30 Python, 6 Rust, 0 Svelte errors Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
54 lines
1.5 KiB
Python
54 lines
1.5 KiB
Python
"""OpenAI provider — direct OpenAI SDK integration."""
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from __future__ import annotations
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import os
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from typing import Any
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from voice_to_notes.providers.base import AIProvider
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class OpenAIProvider(AIProvider):
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"""Connects to the OpenAI API."""
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def __init__(
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self,
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api_key: str | None = None,
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model: str = "gpt-4o-mini",
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) -> None:
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self._api_key = api_key or os.environ.get("OPENAI_API_KEY", "")
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self._model = model
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self._client: Any = None
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def _ensure_client(self) -> Any:
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if self._client is not None:
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return self._client
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if not self._api_key:
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raise RuntimeError("OpenAI API key not configured. Set OPENAI_API_KEY or provide it in settings.")
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try:
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from openai import OpenAI
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self._client = OpenAI(api_key=self._api_key)
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except ImportError:
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raise RuntimeError("openai package is required. Install with: pip install openai")
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return self._client
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def chat(self, messages: list[dict[str, str]], **kwargs: Any) -> str:
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client = self._ensure_client()
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response = client.chat.completions.create(
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model=kwargs.get("model", self._model),
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messages=messages,
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temperature=kwargs.get("temperature", 0.7),
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max_tokens=kwargs.get("max_tokens", 2048),
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)
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return response.choices[0].message.content or ""
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def is_available(self) -> bool:
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return bool(self._api_key)
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@property
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def name(self) -> str:
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return "OpenAI"
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