Phase 5: AI provider system with local and cloud support

- 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>

python/voice_to_notes/providers/base.py

@@ -3,7 +3,6 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
-from collections.abc import AsyncIterator
 from typing import Any
 
 
@@ -11,13 +10,17 @@ class AIProvider(ABC):
     """Base interface for all AI providers."""
 
     @abstractmethod
-    async def chat(self, messages: list[dict[str, Any]], config: dict[str, Any]) -> str:
-        """Send a chat completion request and return the response."""
+    def chat(self, messages: list[dict[str, str]], **kwargs: Any) -> str:
+        """Send a chat completion request and return the full response text."""
         ...
 
     @abstractmethod
-    async def stream(
-        self, messages: list[dict[str, Any]], config: dict[str, Any]
-    ) -> AsyncIterator[str]:
-        """Send a streaming chat request, yielding tokens as they arrive."""
+    def is_available(self) -> bool:
+        """Check if this provider is configured and available."""
+        ...
+
+    @property
+    @abstractmethod
+    def name(self) -> str:
+        """Provider display name."""
         ...